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Speaker 1: Thanks for listening to the show, Guys, we really appreciate it.

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Speaker 1: the show as always special. Thank you to Supercast for

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Speaker 1: powering our premium membership. If you want to find out more,

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Speaker 1: go to Crystalansager dot com. Good morning, everybody, Happy Monday.

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Speaker 1: We have an amazing show for everybody today. What do

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Speaker 1: we have, Crystal? Indeed, we do lots of big stories

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Speaker 1: that I'm very excited to talk about, namely Amazon first

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Speaker 1: Warehouse voting to join a union, historic moment. I have

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Speaker 1: about a million things I want to say about this,

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Speaker 1: So we'll dig into everything we've learned about how exactly

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Speaker 1: they were able to pull this off, and a little

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Speaker 1: bit of the media reaction, which is always an interesting

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Speaker 1: part of three. Also some terrible breaking news in Ukraine

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Speaker 1: about the situation there on the ground, and we'll get

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Speaker 1: into that. We'll also talk about the economic situation as

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Speaker 1: best we can tell in Russia. News signs that sadly,

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Speaker 1: as we predicted these sanctions that we have levied, the

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Speaker 1: economic warfare that we are conducting against Russia is completely backfiring.

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Speaker 1: I mean, that's just pretty much may not be as

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Speaker 1: people thought, It may not be working as well as

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Speaker 1: people thought, and it seems to be having the effect

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Speaker 1: of bolstering Russian public opinion in favor of Putin and

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Speaker 1: in favor of this war, so exactly the opposite of

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Speaker 1: the outcome that you would actually want. But we'll dig

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Speaker 1: into those details. Also, a new study that's kind of

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Speaker 1: good and bad. It reveals that cable news sadly, really

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Speaker 1: does impact the way that people think about the world

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Speaker 1: and think about politics. The good side of that is

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Speaker 1: that it also indicates that people's minds can be changed.

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Speaker 1: So that's hopeful because if you change their information diet,

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Speaker 1: you can create a better political landscape. So we'll talk

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Speaker 1: about that. Also, it looks like Jen Saki has a

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Speaker 1: new job coming up here lo and behold, she's going

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Speaker 1: to MSNBC. Sagar. Yes, And it is pretty extraordinary for

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Speaker 1: someone who is still the White House Press Secretary to

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Speaker 1: be conducting these type of negotiations. It's so extraordinary actually

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Speaker 1: that even the White House Press Corps was repeatedly pressing

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Speaker 1: on her on it, including one of the people at

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Speaker 1: NBC Kristen Welker, who would be her colleague if these

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Speaker 1: reports are indeed true, we have on here Christian Smalls

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Speaker 1: might be joining us. Not one hundred percent sure about that,

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Speaker 1: so we had a tentative confirmation. He's basically been extraordinarily busy,

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Speaker 1: So we'll see if we'll get him. If not, We've

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Speaker 1: got another piece of the Amazon story that we want

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Speaker 1: to tell you about, another media reaction from one of

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Speaker 1: his appearances on MSNBC. But let us start with the

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Speaker 1: news out of Staten Island and Amazon. As you all

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Speaker 1: probably already know, a warehouse on Staten Island, it's called

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Speaker 1: JFK eight has now officially become the very first Amazon

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Speaker 1: warehouse to vote to unionize. It was not particularly close.

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Speaker 1: This was extraordinary and historic in all kinds of ways,

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Speaker 1: not only because it's the first, but also because Amazon

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Speaker 1: is such a behemoth, because they really set the conditions

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Speaker 1: for labor across the country, because they spent millions of

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Speaker 1: dollars to keep this from happening anywhere, and also because

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Speaker 1: these workers decided to go a completely different path. They

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Speaker 1: didn't join up with an existing union. Christian Smalls and

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Speaker 1: his colleagues and Derek Palmer, his best friend who's the

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Speaker 1: vice president there, who still works at Amazon. They decided

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Speaker 1: that they were going to start a brand new worker

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Speaker 1: led union called the Amazon Labor Union, and that they

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Speaker 1: were going to start from scratch and organize this warehouse

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Speaker 1: and lo and behold that effort and that strategy has

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Speaker 1: succeeded where no one else has been able to. Let's

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Speaker 1: take a listen to a little bit of the man

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Speaker 1: himself upon his victory, Dan two years ago, my life

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Speaker 1: changed forever. Now all you wanted to do the right

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Speaker 1: thing and speak up are the work was behind me.

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Speaker 1: Jason is one of whom Derek, Jordan, Jerrold, everybody and JFK.

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Speaker 1: You know, when COVID nineteen came to Amazon failed us,

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Speaker 1: they dropped the ball. They lied to the public saying

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Speaker 1: they're doing all these things. None of that was the

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Speaker 1: reality of our situation. So I let a walk out

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Speaker 1: after they quarantined just me and nobody else, and that

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Speaker 1: walkout led to my firing. Then a week after that,

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Speaker 1: a couple of weeks after that, maybe a week or two,

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Speaker 1: that memo that came out calling me not smart or articulate. Ironically,

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Speaker 1: they also said to make me the face of the

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Speaker 1: whole unionizing efforts, which I had no intention at the time. Now,

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Speaker 1: you guys probably all know the story that he's referring

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Speaker 1: to there. But we've been interviewing Christian since he was

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Speaker 1: fired from Amazon off for two years, yes, for almost

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Speaker 1: exactly two years ago. Was our first interview with him,

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Speaker 1: and he said in that interview, I may have started

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Speaker 1: a revolution, which is kind of incredible, clearly if that

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Speaker 1: was exactly what going on. But so, he was very

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Speaker 1: distressed over the lack of COVID safety procedures. He was

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Speaker 1: witnessing his colleagues getting sick, they weren't getting any information,

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Speaker 1: they didn't have adequate ppe within the warehouse, and so

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Speaker 1: he led what was actually very small walk down at

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Speaker 1: the time. I think we may have even covered it here.

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Speaker 1: Amazon retaliates against him, fires him, and then, as if

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Speaker 1: that wasn't bad enough, one of their top executives and

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Speaker 1: a memo that went out to all of the leadership

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Speaker 1: up to and including Jeff Bezos says, hey, you know

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Speaker 1: what we should do. We should make this guy, Christian

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Speaker 1: Smalls the face of the Amazon union movement because he's

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Speaker 1: quote not smart or articulate, that lights the fire under

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Speaker 1: Christian and ultimately we see what the results are. Today,

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Speaker 1: we're learning more and more about exactly how they pulled

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Speaker 1: off this extraordinary victory. There have been a number of

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Speaker 1: good pieces that have looked at the tactics they've used,

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Speaker 1: the people that were involved, why this effort succeeded when

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Speaker 1: others failed, and also some of the backlash to Amazon's

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Speaker 1: aggressive over the top tactics was really did back fire.

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Speaker 1: Let's go ahead and put this Jacobin piece up on

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Speaker 1: the screen. This is an interview with one of the

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Speaker 1: worker organizers, a woman named Angelica Maldonado. And a few

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Speaker 1: things that jumped down at me here and this by

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Speaker 1: the ways, from our friend Eric Blanc, who we've interviewed

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Speaker 1: as well, who's a great labor reporter. So a couple

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Speaker 1: things that jumped out at me here is she talked

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Speaker 1: a lot about how they went about bridging generational divides,

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Speaker 1: racial divides, ethnic divides, language divides. You have a very

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Speaker 1: diverse workforce that they had to be able to communicate

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Speaker 1: with and be able to win over people's trust. She

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Speaker 1: talks about the fact that the younger workers were easier

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Speaker 1: to sway than the older workers, and you know, that

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Speaker 1: makes a lot of sense in terms of if you

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Speaker 1: look at our political landscape, younger voters tend to be

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Speaker 1: more in favor of unions, more on the left politically,

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Speaker 1: older voters tend to be, you know, more sort of

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Speaker 1: on the right and have more traditional economic views. So

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Speaker 1: that made sense. But she also talked about how they

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Speaker 1: organized across racial lines. She said that was another thing,

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Speaker 1: reaching out to the diverse races at JFK eight. For instance,

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Speaker 1: a lot of our coworkers are African. During the campaign,

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Speaker 1: I had an idea which ended up turning out great.

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Speaker 1: My neighbor, she's also African, and she caters, So I said,

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Speaker 1: we've getten out so much food, why don't we give

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Speaker 1: out food that targets the culture of the workers at Amazon.

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Speaker 1: So one day I asked my neighbor to make us

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Speaker 1: some African fried rice, and that really attracted a whole

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Speaker 1: bunch of African workers towards us, and we gained a

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Speaker 1: couple of new organizers off that. I would say having

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Speaker 1: organizers of the same race was also crucial. I'm Hispanic

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Speaker 1: half Hispanic myself, but I don't speak Spanish, so it

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Speaker 1: was easier for one of our organizers who speak Spanish

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Speaker 1: to speak to those Hispanic workers who had questions. Another

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Speaker 1: thing she talks about, and this really jumped down at me,

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Speaker 1: is you know, part of what Amazon has used successfully

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Speaker 1: in the past saga is this climate of fear. Yes

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Speaker 1: or people feel like, oh, I can't stand out up

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Speaker 1: to these people, I can't possibly join a union, I'm

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Speaker 1: going to get fired. My life is going to be ruined.

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Speaker 1: And so they took what they described as intentional, calculated

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Speaker 1: risks to demonstrate that they could stand up for themselves,

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Speaker 1: that they shouldn't be afraid of Amazon. What she says

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Speaker 1: is they would go into these union busting captive audience

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Speaker 1: meetings knowing they were going to get kicked out because

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Speaker 1: they weren't invited. And she said, though we did get

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Speaker 1: kicked down eventually, action like that showed them that there

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Speaker 1: are certain rights and certain laws that protect us and

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Speaker 1: that we should not be scared of Amazon. And of

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Speaker 1: course Agar Christian Smiles is a perfect example of that,

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Speaker 1: because they did the absolute worst they possibly could to

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Speaker 1: that guy, and here he is still unafraid, still fighting

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Speaker 1: and still pushing for it. Yeah, it was an ultimate

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Speaker 1: smear campaign that backfired. Obviously tremendously, and I think that

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Speaker 1: that's what we saw at the heart of this at

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Speaker 1: the beginning, when they said he's not smart, he's not

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Speaker 1: very articulate. It ended up resulting in the resignation of

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Speaker 1: a top Amazon executive at the time, and ultimately, you know,

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Speaker 1: they awoke a sleeping giant. It's funny because watching the

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Speaker 1: New York Times and the traditional media kind of catch

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Speaker 1: up to a story which we've been doing for so long,

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Speaker 1: kind of is interesting to see how exactly they interpret

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Speaker 1: the lens. Let's put this up there on the screen.

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Speaker 1: New York Times profiled Christian and they talk about there

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Speaker 1: how two best friends beat Amazon, specifically talking about the

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Speaker 1: original firing, about how Christian decided in order to start

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Speaker 1: a union from scratch rather than start with a another

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Speaker 1: established union, and how really, I mean, what he's accomplished

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Speaker 1: is one of the most extraordinary feats in the history

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Speaker 1: of the modern labor movement. I don't think there is

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Speaker 1: another way to describe it. We watched what happened in Bessemer, Alabama.

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Speaker 1: We watched also the Teamsters unions. Many others told Christian

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Speaker 1: he was making a huge mistake. I remember, I think

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Speaker 1: we interviewed him or what six months ago exactly on this,

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Speaker 1: and he's like, well, a lot of people didn't want

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Speaker 1: us to do this, but we decided to start it

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Speaker 1: from scratch because we wanted to be our own and

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Speaker 1: of course everybody said that wasn't going to work. Lack

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Speaker 1: of institutional connection, and what they point to on the

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Speaker 1: most significant part is his low budget and then just

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Speaker 1: focusing relentlessly on traditional and important organizing tactics like you

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Speaker 1: point to in the Jacobin piece, culminates then in the

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Speaker 1: actual victory that we see for him himself. And I

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Speaker 1: think that that's what's fascinating is that now with the

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Speaker 1: media attention on him, they are now unable Amazon is

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Speaker 1: in order to paint him as you know, not smarter, articulate,

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Speaker 1: and they are going to throw everything at the wall

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Speaker 1: in order to make sure that this union never sticks,

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Speaker 1: that they have no bargaining power. And I'm really curious

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Speaker 1: to see how they begin targeting Christian himself. Yes, because

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Speaker 1: that is going to happen, But you know the fact

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Speaker 1: of the matter is the way they targeted him this far,

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Speaker 1: it only played into his hands because this is a

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Speaker 1: man who worked at this warehouse who had relationships there,

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Speaker 1: and so when they fired him, when they smeared him

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Speaker 1: as not smarter articulate, when they had him arrested, yes,

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Speaker 1: for bringing food into the warehouse to serve these workers.

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Speaker 1: And by the way, they had gotten an order from

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Speaker 1: the NLRB. And this was really critical saying that organizers

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Speaker 1: could you know, talk about unions and organize on within

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Speaker 1: the Amazon warehouses. That mattered a lot. There's a few

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Speaker 1: other things from this New York Times piece that are

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Speaker 1: really interesting, which lays on not just the smart strategy

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Speaker 1: of Christian and Derek Palmer and the other worker organizers,

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Speaker 1: but also some of the big missteps that Amazon made because,

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Speaker 1: as Jodi Kanter put it, the reporter on that story,

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Speaker 1: while Amazon deployed an incident commander, the workers deployed bakezd.

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Speaker 1: So they were there, they were organizing at a bus

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Speaker 1: stop that all the workers came to that you know,

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Speaker 1: funneling into and out of work. They were serving food.

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Speaker 1: They were hyper local, hyper like, culturally competent with all

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Speaker 1: the different diverse constituencies in this warehouse. And so when

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Speaker 1: Amazon would say, oh, he's not smart articulate or get

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Speaker 1: people arrested, this just made them look extremely heavy handed

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Speaker 1: and ultimately really backfired. Think about the odds here. Christian

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Speaker 1: said that they spent about one hundred and twenty thousand

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Speaker 1: dollars overall in this effort. Let me tell you that

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Speaker 1: is peanuts compared to what normally goes into these things.

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Speaker 1: He says, we started this with nothing, with two tables,

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Speaker 1: two chairs in a tent. Amazon spent more than four

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Speaker 1: point three million just on anti union consultants nationwide last year,

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Speaker 1: just last year. And that's just scratching the surface of

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Speaker 1: how much they spent to try to destroy this. There

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Speaker 1: was one other incident they say here that was a

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Speaker 1: big Amazon mistake. Reportedly one of their anti union consultants

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Speaker 1: called the labor organizers who are mostly black thugs, and

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Speaker 1: that also backfired. And you made the and this has

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Speaker 1: been reported to the NLRB too, made the workers feel

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Speaker 1: like they were discriminatory against these organizers. All of this

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Speaker 1: led to a situation where they quote a worker there,

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Speaker 1: a woman named Kathleen Lejews who's forty one, who said

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Speaker 1: she's not a big union fan, but she voted for

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Speaker 1: the union to send a message to the company because

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Speaker 1: she said, quote, the humanity at Amazon is gone. I

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Speaker 1: think that says it all there, that they were able

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Speaker 1: to win over even people who were skeptical because they

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Speaker 1: were so relentlessly hyper local and culturally competent and you know, friendly,

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Speaker 1: warm faces, extremely hopeful, while Amazon is coming over the

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Speaker 1: top with a gigantic camera. There's one other thing I

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Speaker 1: want to mention from this New York Times article, which

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Speaker 1: is they mentioned in passing Sober that there were some

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Speaker 1: labor sympathizers who went to work at the warehouse just

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Speaker 1: to try to help with this effort. And they quote

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Speaker 1: one woman in particular, Ms. Medina, and it turns out

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Speaker 1: she was the president of the Queen's DSA chapter. So

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Speaker 1: I want to know more about that, about how many

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Speaker 1: DSA members went and took jobs at this warehouse and

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Speaker 1: other places to try to be helpful in the organizing effort,

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Speaker 1: because even though the numbers I'm sure are relatively small,

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Speaker 1: just having a few more people who you know, can

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Speaker 1: do the communication and organize on breaks and all of that,

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Speaker 1: that really makes a difference. Yeah, that's an interesting point.

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Speaker 1: I do want to know more about that too, because

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Speaker 1: now was the real question, well, we have upcoming, how

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Speaker 1: many votes we have upcoming in Amazon in terms of

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Speaker 1: the New York area, we have one more warehouse that

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Speaker 1: is scheduled to vote. I think that voting starts April

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Speaker 1: twenty third, so that is coming right now. So the

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Speaker 1: point here is how much of this was a one

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Speaker 1: off and how much of it can be scaled? And

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Speaker 1: that's actually, I mean, that's the ultimate question when it

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Speaker 1: comes to all of these things, which is that at

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Speaker 1: this point it was a victory. Can it then be

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Speaker 1: transported kind of a unionization effort in a box and

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Speaker 1: then export into different warehouses and sweep the country. Now,

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Speaker 1: we saw that happen with Starbucks, and we know that

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Speaker 1: it's happening quite well. Starbucks, though, has a very very

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Speaker 1: different workforce. We've talked about here a lot. Starbucks is

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Speaker 1: a much more educated workforce. These are people who are

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Speaker 1: disportionately younger, probably also disportionately a lot more liberal, and

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Speaker 1: I don't mean that in terms of a disparaging way,

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Speaker 1: just much more likely probably have been actively involved in

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Speaker 1: like a Bernie Sanders type campaign where an Amazon worker

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Speaker 1: is really going to run the gamut in terms of

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Speaker 1: both political beliefs, socioeconomic and possibly just politically disconnected. Most

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Speaker 1: likely to fall into a non voter category. You talks

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Speaker 1: about because when you're working at Amazon, they just take

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Speaker 1: over your whole damn life. Of course, I mean, what

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Speaker 1: are you supposed to do? We talk about this all

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Speaker 1: the time. The people feel shame whenever they're like, I

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Speaker 1: don't you know, they kind of say it under their breath.

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Speaker 1: You know, I know I'm supposed to care, but I

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Speaker 1: don't care about politics. It's like, listen, you're trying to

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Speaker 1: pay your bills. You're working paycheck to paycheck. Gas is

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Speaker 1: four fifty a gallon, your rent is out of control,

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Speaker 1: heating bills, and you're worried about your kids, you know,

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Speaker 1: medical expense or it got pulled out of school. Who

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Speaker 1: can blame you? You have way bigger problems. So union

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Speaker 1: is unionizing that workforce and in a scalable way is

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Speaker 1: going to be the single biggest obstacle. And also, I mean,

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Speaker 1: this is probably a good segue to the next part

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Speaker 1: of this. But it's not like Amazon is going to

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Speaker 1: just let this happen. They are throwing everything. Absolutely, we

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Speaker 1: have no idea what they're about to throw at us.

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Speaker 1: Let's put this last piece for part one up on

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Speaker 1: the screen. A four this is a great profile. Actually

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Speaker 1: before the vote. I want to give credit to the

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Speaker 1: city for interviewing Christian Smalls and Derek Palmer before the

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Speaker 1: vote happened here and this piece gets into a lot

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Speaker 1: of the generational approach here. You know, Derek and Chris

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Speaker 1: are both thirty three years old, so they are young.

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Speaker 1: I think that makes some young millennials not gen z right,

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Speaker 1: and then yeah, for sure. And then they're also organizing

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Speaker 1: a lot of zoomers using TikTok and you know, just

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Speaker 1: being sort of like of that generation and really comfortable

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Speaker 1: and so that was a big part of the appeal.

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Speaker 1: So there was a lot going on here. I mean

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Speaker 1: think if you added all together, they had a really

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Speaker 1: smart approach. They went down to Bessemer and what they

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Speaker 1: took away was that the organizers who had come in

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Speaker 1: felt like outsiders, and they said, you know, we're going

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Speaker 1: to do this a different way. We're going to be

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Speaker 1: hyper local, We're going to be hyper you know, engaged

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Speaker 1: with the Amazon work and really understand what their day

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Speaker 1: to day is like. That clearly was a smart strategy.

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Speaker 1: You had Amazon overreach and you know, frankly, I don't

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Speaker 1: know if Amazon took them that seriously because a lot

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Speaker 1: of the country, the media is certainly political class, didn't

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Speaker 1: take them seriously at all. So you know, you have

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Speaker 1: a national landscape also that is wildly different than it

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Speaker 1: was just a short time ago, where there are lots

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Speaker 1: of jobs, but the question is are they good jobs?

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Speaker 1: And so workers feel a little bit more empowered to

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Speaker 1: take this kind of risk. And then it's no accident

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Speaker 1: that the Starbucks movement and the Amazon movement starts in

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Speaker 1: New York. New York is the state that has the

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Speaker 1: largest union density, so you have a culture of unionization.

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Speaker 1: Christian's mom and Angelica, Angelica the other organizer I mentioned,

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Speaker 1: both of their moms were members of SEIU eleven ninety nine,

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Speaker 1: so they have, you know, union membership in their blood.

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Speaker 1: They understand what it's all about. Intuitively, you have that

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Speaker 1: culture around you, and then you have you know, helpful

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Speaker 1: members from DSA also that's part of the culture there

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Speaker 1: in that area. All of that coming together in kind

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Speaker 1: of a perfect storm and pulling up off what we

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Speaker 1: all thought may well have been impossible. So straordinary story. Obviously,

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Speaker 1: I'm extremely excited about it, and I think it's fascinating

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Speaker 1: to dig into all these facets. And before we move

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Speaker 1: on to the next part, the other thing I want

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Speaker 1: to say is they do have another vote coming up

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Speaker 1: this month, and so if you guys are able to

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Speaker 1: contribute to their solidarity fund. You know they did this

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Speaker 1: with peanuts, but they're going to need some resources by

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Speaker 1: trade and going link is going to be down there

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Speaker 1: in description. Make sure you guys can help. All right, Sago,

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Speaker 1: what do you look at that there's a war going

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Speaker 1: on right now? Journalists have been killed in Ukraine. My

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Speaker 1: own friend from my White House Press days, Trey Yankston

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Speaker 1: Fox News, literally had his colleague killed during shelling in Kiev.

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Speaker 1: Heroes are being detained in Russia for standing up to

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Speaker 1: their government and for telling the truth. Burmese journalists, of course,

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Speaker 1: are in prison. You probably have barely even heard of

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Speaker 1: many of these instances, or of actual journalists who are

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Speaker 1: risking their lives in war zones. But what do you

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Speaker 1: think the story in the US media is. It's not

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Speaker 1: these heroes. Instead meet the press. The flagship political program

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Speaker 1: of NBC News, a household name identified with politics, chose

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Speaker 1: instead to focus its timete online harassment that some journalists face.

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Speaker 1: One of those people who was spotlighted is the Washington

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Speaker 1: Post and formerly the New York Times is Taylor Lorenz.

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Speaker 1: Let's watch the segment that's right check and you know,

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Speaker 1: before this was all sort of anecdotal, but now we

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Speaker 1: have hard data. I mean, this is one of the

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Speaker 1: biggest issues facing female journalists right now, and an unprecedented

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Speaker 1: study is giving us a closer look at just how

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Speaker 1: some of those online attacks against female journalists are actually

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Speaker 1: getting started and what it looks like for those who

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Speaker 1: are on the receiving end. But a warning to our viewers,

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Speaker 1: some of the language you hear in this report, it

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Speaker 1: may be disturbing. Female reporters are often at the center

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Speaker 1: of the bulls eye. Taylor Lorenz is a columnist for

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Speaker 1: the Washington Post and was targeted nearly one year ago

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Speaker 1: in a segment on Fox News. She's at the very

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Speaker 1: top of journalism's repulsive little food chain, host Tucker Carlson

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Speaker 1: mocking her after she called for an end to online harassment.

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Speaker 1: Now she's at the center of a new study by

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Speaker 1: NYU researchers, an the first to actually quantify online hate

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Speaker 1: against female journalists. This is the moment that Carlson aired

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Speaker 1: that segment. Yes, we see this really dramatic rise. Using

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Speaker 1: large scale data to measure online language, they tracked violent

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Speaker 1: and threatening tweets directed at two female journalists after being

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Speaker 1: targeted by two male media figures. Researchers found that attacks

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Speaker 1: against Lorenz went up as much as one hundred and

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Speaker 1: forty four percent after just one Twitter thread for another journalist,

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Speaker 1: they went up sixty five percent every single social tie.

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Speaker 1: I had severe PTSD from this. I contemplated suicide. It

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Speaker 1: got really bad. You feel like any little piece of

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Speaker 1: information that gets out on you will be used by

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Speaker 1: the worst people on the internet to destroy your life.

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Speaker 1: And it's so isolating and terrifying. It's horrifying. All right,

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Speaker 1: there's a lot to say about this. At the top

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Speaker 1: of the most obvious, I genuinely feel very bad for

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Speaker 1: both of them. It sucks to be targeted online. It's

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Speaker 1: clear that she suffered mental distress over that, and that's

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Speaker 1: really awful. Now that being said, let's discuss the tone

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Speaker 1: and the actual allegations of the segment. That means that

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Speaker 1: things said online are somehow the fault of Tucker Carlson

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Speaker 1: for literally saying Lorenz's full name on the air, and

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Speaker 1: it's on Glenn Greenwald for tweeting criticism of her work,

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Speaker 1: which means that what NBC News is saying and what

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Speaker 1: Taylor Lorenz are saying, what the segment really means is

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Speaker 1: they are not allowed to be criticized in any way.

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Speaker 1: That is why this segment is emotional blackmail and manipulative.

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Speaker 1: I feel bad for all women online who have suffered

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Speaker 1: harsh criticism, but the clear point of this report is

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Speaker 1: simply to say that criticizing them is out of bounds

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Speaker 1: forever and for people who are reporters and to interact

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Speaker 1: with the public square, that is an obviously ludicrous standard.

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Speaker 1: As friend of the show Glenn Greenwald responded in his

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Speaker 1: substat quote, your top priority is the emotional comfort of

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Speaker 1: the most powerful elites, which you fulfill by nevering them.

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Speaker 1: He adds, corporate journalists have license to use their huge

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Speaker 1: platforms to malign, expose, and destroy anyone their want. Your

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Speaker 1: moral duty is to sit in respectful silence and never object.

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Speaker 1: That's the point by the tailor of Lorenz standard. You're

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Speaker 1: directing harassment towards her if you say her name on

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Speaker 1: the air. And the sad part for Taylor is this

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Speaker 1: you have nobody but yourself to blame. A maxim I

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Speaker 1: have learned making a career on the Internet is this,

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Speaker 1: You get back what you put out into the world.

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Speaker 1: If you try, as we do, to put out as

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Speaker 1: much content as possible, focus on a mission of making

431
00:22:33,960 --> 00:22:36,120
Speaker 1: people hate each other less, then most of what you're

432
00:22:36,119 --> 00:22:38,280
Speaker 1: going to get back is going to be positive, which

433
00:22:38,280 --> 00:22:41,080
Speaker 1: it is overwhelmingly. But if you try and cancel people,

434
00:22:41,320 --> 00:22:45,280
Speaker 1: ruin their lives, spread false rumors and lies, paint yourself

435
00:22:45,320 --> 00:22:48,280
Speaker 1: as a victim every chance you get, I'm sorry to say,

436
00:22:48,440 --> 00:22:52,800
Speaker 1: you are reaping' exactly what you sew. Let's review Lorenz's record,

437
00:22:52,800 --> 00:22:55,840
Speaker 1: shall we. This is the person who falsely acued venture

438
00:22:55,880 --> 00:22:58,760
Speaker 1: capitalist Mark Andresen of saying the R word on clubhouse.

439
00:22:58,960 --> 00:23:01,360
Speaker 1: She then refused to acknowled her slander until forty eight

440
00:23:01,400 --> 00:23:04,120
Speaker 1: hours later when her bosses forced her to apologize. This

441
00:23:04,160 --> 00:23:06,280
Speaker 1: is a person who literally ruined the life of a

442
00:23:06,320 --> 00:23:09,520
Speaker 1: young female influencer girl with no job, because her mother,

443
00:23:09,840 --> 00:23:13,920
Speaker 1: yes her mother, not her, was a prominent anti Muslim activist.

444
00:23:14,320 --> 00:23:17,600
Speaker 1: This is a person who attempted to destroy mister Beast

445
00:23:17,960 --> 00:23:21,320
Speaker 1: years ago because he said a bad word when he

446
00:23:21,440 --> 00:23:25,960
Speaker 1: was a freaking teenager. She cheers, cancelation attempts. She was

447
00:23:26,040 --> 00:23:27,719
Speaker 1: part of the New York Times staff who claimed that

448
00:23:27,760 --> 00:23:30,359
Speaker 1: black New York Times staffers were put in danger because

449
00:23:30,359 --> 00:23:33,560
Speaker 1: of a Tom Cotton auped during the BLM protest. This

450
00:23:33,640 --> 00:23:36,800
Speaker 1: is a person who, even after her own outlet stuck

451
00:23:36,880 --> 00:23:39,399
Speaker 1: up for her, trashed The New York Times on her

452
00:23:39,480 --> 00:23:42,719
Speaker 1: way out because senior staffers within the paper had the

453
00:23:42,760 --> 00:23:46,919
Speaker 1: audacity to tell her she was acting unprofessionally, tarnishing the

454
00:23:46,960 --> 00:23:49,960
Speaker 1: brand and needed to grow up. This is a person,

455
00:23:50,280 --> 00:23:54,320
Speaker 1: just to show you how pathologically sociopathic she is. After

456
00:23:54,680 --> 00:23:58,520
Speaker 1: Meet the Press, even after that segment aired, despite their

457
00:23:58,560 --> 00:24:02,760
Speaker 1: little SOB story, for having the audacity to reach out

458
00:24:02,800 --> 00:24:06,280
Speaker 1: to Glenn Greenwald to ask him to respond to the

459
00:24:06,320 --> 00:24:09,320
Speaker 1: allegation that he was responsible for harassment against her. That

460
00:24:09,440 --> 00:24:12,800
Speaker 1: is the most basic of all basic journalistic practices. She

461
00:24:13,000 --> 00:24:17,879
Speaker 1: demands you air her propaganda free from any perspective except

462
00:24:17,920 --> 00:24:20,600
Speaker 1: her own. That's the problem. And just so you know,

463
00:24:20,760 --> 00:24:24,879
Speaker 1: here's what Greenwald wrote to everyday employees of large media

464
00:24:24,920 --> 00:24:28,920
Speaker 1: corporations such as NBC. Insult post, insults and attacks which

465
00:24:28,920 --> 00:24:32,040
Speaker 1: target me in my journalism and me personally, often resulting

466
00:24:32,040 --> 00:24:35,120
Speaker 1: in vile and bigoted attacks against me based in homophobia,

467
00:24:35,680 --> 00:24:38,560
Speaker 1: anti Semitism, and the nature of my interracial marriage in

468
00:24:38,560 --> 00:24:40,840
Speaker 1: my family. But I don't whine about it or try

469
00:24:40,840 --> 00:24:44,119
Speaker 1: to claim that nobody can criticize my work, because I

470
00:24:44,320 --> 00:24:47,879
Speaker 1: understand that those who seek out large and influential journalistic

471
00:24:47,920 --> 00:24:52,320
Speaker 1: platform that affect people's lives are fair game for criticism.

472
00:24:52,560 --> 00:24:57,200
Speaker 1: He continues, Perhaps influential employees of the largest media outlets,

473
00:24:57,200 --> 00:24:59,520
Speaker 1: such as Taylor Lorenz, will one day come to a

474
00:24:59,560 --> 00:25:02,760
Speaker 1: similar realization that being a front page reporter for the

475
00:25:02,840 --> 00:25:06,280
Speaker 1: largest and most influential news outlets makes you fair game

476
00:25:06,359 --> 00:25:09,359
Speaker 1: for critique. He ends it this way, as a member

477
00:25:09,480 --> 00:25:13,679
Speaker 1: of various marginalized groups, I don't want or accept some

478
00:25:13,800 --> 00:25:18,440
Speaker 1: special immunity shield against being criticized. No journalist with any

479
00:25:18,560 --> 00:25:21,840
Speaker 1: dignity or worth should want that either. The man has

480
00:25:21,880 --> 00:25:24,280
Speaker 1: a way with words, doesn't he? All of this matters

481
00:25:24,320 --> 00:25:26,800
Speaker 1: for the battle of the future. As CNN plus fades

482
00:25:26,840 --> 00:25:29,400
Speaker 1: from memory in its first week, the people like Lorenz

483
00:25:29,440 --> 00:25:32,400
Speaker 1: and the sociopaths who staff the biggest newsrooms will make

484
00:25:32,440 --> 00:25:34,199
Speaker 1: it so that those of us on the outside of

485
00:25:34,200 --> 00:25:38,639
Speaker 1: the power structure are to be condemned, canceled, destroyed, targeted

486
00:25:38,840 --> 00:25:43,600
Speaker 1: for having the audacity of pointing out their faults. All

487
00:25:43,680 --> 00:25:45,920
Speaker 1: of this is a part of a broader power struggle

488
00:25:46,080 --> 00:25:48,359
Speaker 1: to set the terms of debate, to make her and

489
00:25:48,400 --> 00:25:51,840
Speaker 1: her ilk immune from criticism, and to imbue them with

490
00:25:51,920 --> 00:25:54,960
Speaker 1: the eternal power to take us out. And we can't

491
00:25:55,000 --> 00:25:57,960
Speaker 1: say a word. Don't be fooled. As much as she

492
00:25:58,080 --> 00:26:00,720
Speaker 1: was widely mocked and ridiculed over the last several years,

493
00:26:00,880 --> 00:26:03,720
Speaker 1: the overwhelming majority of those in media spear are either

494
00:26:03,760 --> 00:26:05,720
Speaker 1: on her side or they are too cowardly to say

495
00:26:05,720 --> 00:26:08,600
Speaker 1: the truth that she behaves like a lunatic. And in

496
00:26:08,640 --> 00:26:13,040
Speaker 1: that environment, she has emotionally blackmailed enough people to operate

497
00:26:13,119 --> 00:26:16,640
Speaker 1: with impunity at the highest levels of the media business.

498
00:26:16,960 --> 00:26:20,080
Speaker 1: The only thing that we have here is our voice

499
00:26:20,200 --> 00:26:23,159
Speaker 1: to expose their venality, and it's what we are going

500
00:26:23,240 --> 00:26:25,800
Speaker 1: to continue to do here every single day as long

501
00:26:25,840 --> 00:26:30,399
Speaker 1: as we're able. All right, guys, we were not sure

502
00:26:30,560 --> 00:26:33,000
Speaker 1: that he would have time this morning for us, but

503
00:26:33,040 --> 00:26:35,000
Speaker 1: he has managed to squeeze in a few minutes to

504
00:26:35,080 --> 00:26:38,800
Speaker 1: talk to breaking points. The man himself, Christian Small's president

505
00:26:38,880 --> 00:26:41,959
Speaker 1: of the victorious Amazon Labor Union, and it is so

506
00:26:42,320 --> 00:26:45,480
Speaker 1: great to see you. Congratulations, Thank you, thank you for

507
00:26:45,520 --> 00:26:48,080
Speaker 1: having me appreciate see you man, of course. So let's

508
00:26:48,080 --> 00:26:50,199
Speaker 1: start with the personal. Just how are you feeling. What

509
00:26:50,240 --> 00:26:54,639
Speaker 1: has this been like. It's been a whirlwind obviously the

510
00:26:54,720 --> 00:26:59,119
Speaker 1: last this weekend, it's been crazy for us. On our end,

511
00:26:59,400 --> 00:27:02,479
Speaker 1: we're being I'm bombarded by you know, workers from all

512
00:27:02,520 --> 00:27:06,040
Speaker 1: over the country, you know media, So it's it's been

513
00:27:06,040 --> 00:27:09,880
Speaker 1: a whirlwind, but great to see. I'm happy to share

514
00:27:09,880 --> 00:27:13,160
Speaker 1: this experience with the nation and with the world. Yeah,

515
00:27:13,200 --> 00:27:15,199
Speaker 1: I mean it's sunny. It's also cool for us. You know,

516
00:27:15,200 --> 00:27:17,399
Speaker 1: we've gotten to interview now over the time for the

517
00:27:17,440 --> 00:27:20,560
Speaker 1: last two years on and off, and watched your progress.

518
00:27:20,600 --> 00:27:22,760
Speaker 1: It's just amazing to watch, Chris. We don't want to

519
00:27:22,800 --> 00:27:24,800
Speaker 1: spend too much time in the past. Let's talk about

520
00:27:24,840 --> 00:27:26,520
Speaker 1: the future. What have you got the votes that are

521
00:27:26,520 --> 00:27:28,919
Speaker 1: coming up? What are you specifically going to be focused on.

522
00:27:28,960 --> 00:27:31,520
Speaker 1: So you've got JFK eight, what's the next warehouse? And

523
00:27:31,560 --> 00:27:33,280
Speaker 1: then what are the ones after that? I'm sure your

524
00:27:33,280 --> 00:27:37,320
Speaker 1: phone is ran off the hook. Yeah, LDJ five is

525
00:27:37,359 --> 00:27:40,159
Speaker 1: up next in three weeks, so we're preparing for that.

526
00:27:40,280 --> 00:27:42,640
Speaker 1: You know, I was right back at the bus stop yesterday.

527
00:27:42,720 --> 00:27:45,520
Speaker 1: I'm planning on going back out there connecting with workers.

528
00:27:45,880 --> 00:27:48,480
Speaker 1: We had several meetings yesterday, so we're right back on

529
00:27:48,520 --> 00:27:51,880
Speaker 1: the ground, right back on the campaign trail. We obviously

530
00:27:51,880 --> 00:27:54,520
Speaker 1: want to be two for two. The have a fulfillment

531
00:27:54,560 --> 00:27:57,040
Speaker 1: center and assortation center and it's a different type of

532
00:27:57,040 --> 00:28:00,320
Speaker 1: building that definitely is going to just show the strength

533
00:28:00,400 --> 00:28:03,720
Speaker 1: of the union and we're, you know, once again, we're

534
00:28:03,720 --> 00:28:08,480
Speaker 1: hoping to be successful. Chris, you mentioned you've got workers

535
00:28:08,560 --> 00:28:12,120
Speaker 1: across the country reaching out to you. How many other

536
00:28:12,359 --> 00:28:15,760
Speaker 1: Amazon facilities across the country right now are interested in

537
00:28:15,920 --> 00:28:21,280
Speaker 1: unionizing with Amazon Labor Union. Oh well, I can tell

538
00:28:21,280 --> 00:28:24,520
Speaker 1: you before the election, I had a list of about

539
00:28:24,800 --> 00:28:28,520
Speaker 1: maybe about twelve to eighteen buildings in different states, But

540
00:28:28,640 --> 00:28:32,439
Speaker 1: now that's probably four times the amount. You know, we

541
00:28:32,520 --> 00:28:36,560
Speaker 1: have workers from. I don't even know, all different types

542
00:28:36,600 --> 00:28:40,040
Speaker 1: of all different parts of the country, even as far

543
00:28:40,080 --> 00:28:46,280
Speaker 1: as South Africa, India, other countries. Warehouses that you know

544
00:28:46,360 --> 00:28:50,320
Speaker 1: want to former ALU chapter for Amazon. So it's been

545
00:28:50,400 --> 00:28:53,120
Speaker 1: it's been beautiful to see, be honest with you, So

546
00:28:53,320 --> 00:28:56,440
Speaker 1: it's fascinating to me, Chris, kind of thinking about why

547
00:28:56,480 --> 00:28:58,920
Speaker 1: the entire world counted you out. I mean, you were

548
00:28:59,000 --> 00:29:00,719
Speaker 1: the person who was at the same or the story.

549
00:29:00,840 --> 00:29:02,720
Speaker 1: Why do you think so? At the end of the day,

550
00:29:02,840 --> 00:29:06,000
Speaker 1: Bessemer got a ton of media attention in the lead

551
00:29:06,080 --> 00:29:08,080
Speaker 1: up to that. You were counted out from the beginning.

552
00:29:08,280 --> 00:29:11,080
Speaker 1: You were written off both by Amazon leadership by the media.

553
00:29:11,320 --> 00:29:15,320
Speaker 1: We've talked previously about how AOC canceled her appearance with you,

554
00:29:15,400 --> 00:29:17,360
Speaker 1: but a lot of people had time to go down

555
00:29:17,600 --> 00:29:20,520
Speaker 1: to Bessemer, Alabama. Why did everybody count you out in

556
00:29:20,560 --> 00:29:23,719
Speaker 1: this fight, the most victorious, the biggest victory in the

557
00:29:23,760 --> 00:29:29,440
Speaker 1: modern American labor movement. Yeah, I can't fathom that. I

558
00:29:29,440 --> 00:29:32,760
Speaker 1: don't know why. I just believed that it was just

559
00:29:32,800 --> 00:29:37,080
Speaker 1: a lot of misinformation about me as a leader, about

560
00:29:37,120 --> 00:29:39,720
Speaker 1: what we're doing with this union. From the beginning, a

561
00:29:39,800 --> 00:29:42,920
Speaker 1: lot of people didn't believe in us. They didn't believe

562
00:29:42,960 --> 00:29:44,840
Speaker 1: that we were even going to make it to an election.

563
00:29:45,280 --> 00:29:47,560
Speaker 1: Then they didn't believe that we were going to recover

564
00:29:47,680 --> 00:29:51,280
Speaker 1: from the withdrawal. So a lot of people just abandoned us.

565
00:29:51,400 --> 00:29:53,760
Speaker 1: And it doesn't make any sense that we all claim

566
00:29:53,840 --> 00:29:57,520
Speaker 1: that we standing in solidarity with one another. We needed

567
00:29:57,560 --> 00:30:00,280
Speaker 1: a lot of support in the beginning, and we got zero.

568
00:30:01,040 --> 00:30:04,160
Speaker 1: And you know, once I realized that we were victorious

569
00:30:04,200 --> 00:30:09,520
Speaker 1: without back. I realized that there's nothing that we can't achieve.

570
00:30:09,800 --> 00:30:13,240
Speaker 1: And you know, once again, I'm just happy that I've

571
00:30:13,400 --> 00:30:16,200
Speaker 1: been able to, you know, lead us to this victory

572
00:30:16,320 --> 00:30:20,360
Speaker 1: because I know what I sacrifice, the people around me

573
00:30:20,440 --> 00:30:24,000
Speaker 1: know what I sacrifice, and I know that we we

574
00:30:24,120 --> 00:30:26,320
Speaker 1: love one another, we take care of one another, and

575
00:30:26,800 --> 00:30:29,640
Speaker 1: the way we got here is the way we're going

576
00:30:29,640 --> 00:30:32,560
Speaker 1: to continue to move forward. I want to say something

577
00:30:32,600 --> 00:30:36,520
Speaker 1: about that too, because every single union drive in this country,

578
00:30:36,680 --> 00:30:39,080
Speaker 1: because of the way that the laws are rigged and

579
00:30:39,120 --> 00:30:42,440
Speaker 1: because of the power that these corporate behemoths hold, every

580
00:30:42,440 --> 00:30:45,400
Speaker 1: single union drive in this country is a long shot,

581
00:30:45,640 --> 00:30:49,600
Speaker 1: uphill battle. That doesn't mean you don't show up for it.

582
00:30:50,000 --> 00:30:52,560
Speaker 1: That doesn't mean that you know, you calculate, Ah, is

583
00:30:52,600 --> 00:30:54,720
Speaker 1: this one gonna win? Let me see, I'm not sure

584
00:30:54,840 --> 00:30:57,240
Speaker 1: I'll show up after the fact. You got to be

585
00:30:57,280 --> 00:30:59,640
Speaker 1: there from the start because if even the people who

586
00:30:59,640 --> 00:31:02,480
Speaker 1: are so supposed to be allies don't have your back, well,

587
00:31:02,480 --> 00:31:05,719
Speaker 1: then that creates a self fulfilling prophecy. Now, luckily, you

588
00:31:05,760 --> 00:31:10,400
Speaker 1: were obviously able to overcome those odds in stunning fashion.

589
00:31:10,800 --> 00:31:13,720
Speaker 1: You know, have workers from across the country and around

590
00:31:13,760 --> 00:31:18,000
Speaker 1: the globe reaching out to you about forming ALU chapters.

591
00:31:18,720 --> 00:31:21,560
Speaker 1: How are you going to replicate the success you had here?

592
00:31:21,680 --> 00:31:23,760
Speaker 1: Because from what I read and from what I've been

593
00:31:23,760 --> 00:31:26,720
Speaker 1: talking to you about, you all had such an intensely

594
00:31:26,800 --> 00:31:31,160
Speaker 1: like hyper local focus. Obviously, you were a leader within Amazon.

595
00:31:31,200 --> 00:31:33,680
Speaker 1: Before they fired you, people knew you. You had a

596
00:31:33,760 --> 00:31:36,440
Speaker 1: lot of connections. You had a lot of ability to

597
00:31:36,480 --> 00:31:39,040
Speaker 1: talk to people at the bus stop and make food

598
00:31:39,040 --> 00:31:41,760
Speaker 1: that was culturally relevant and cross all kinds of age

599
00:31:41,800 --> 00:31:45,600
Speaker 1: and racial and ethnic divides. Is that something that's possible

600
00:31:45,640 --> 00:31:51,160
Speaker 1: to replicate in warehouses across the country. Yeah. Absolutely. I mean,

601
00:31:51,200 --> 00:31:54,360
Speaker 1: of course, New York is obviously a union town. Is

602
00:31:54,360 --> 00:31:57,640
Speaker 1: a little different here. Our culture is a little different here.

603
00:31:58,160 --> 00:32:00,760
Speaker 1: We had to adapt to that. I brought in people

604
00:32:00,800 --> 00:32:05,000
Speaker 1: from Miami, from Arizona, California. They obviously don't know the

605
00:32:05,000 --> 00:32:07,320
Speaker 1: culture here in New York. They never stepped foot over

606
00:32:07,320 --> 00:32:10,320
Speaker 1: here in Staten Island until they got connected with me.

607
00:32:11,280 --> 00:32:13,760
Speaker 1: You have to adapt to whoever region you are in

608
00:32:13,760 --> 00:32:16,680
Speaker 1: a country, and that's fine. It's easy to do that

609
00:32:16,800 --> 00:32:19,920
Speaker 1: if you're from that community, you represent the people, you represent,

610
00:32:19,960 --> 00:32:24,880
Speaker 1: your coworkers. You can absolutely take some some things from

611
00:32:24,880 --> 00:32:28,400
Speaker 1: our campaign and using your own campaign, and we encourage

612
00:32:28,400 --> 00:32:31,440
Speaker 1: you to We encourage you to reach out and we

613
00:32:31,480 --> 00:32:34,280
Speaker 1: will help you get started. You know, we always been

614
00:32:34,360 --> 00:32:37,160
Speaker 1: that way. I myself, I've been on the picket lines

615
00:32:37,240 --> 00:32:40,720
Speaker 1: for several different movements people seeing that, you know, for

616
00:32:40,800 --> 00:32:43,400
Speaker 1: the last two years. It doesn't matter what the cause

617
00:32:43,480 --> 00:32:46,280
Speaker 1: is about. If you call me and I have the availability,

618
00:32:46,280 --> 00:32:48,920
Speaker 1: I make myself available. Like you mentioned, I show up

619
00:32:48,960 --> 00:32:51,120
Speaker 1: when it needs to be. You know, when it's time

620
00:32:51,320 --> 00:32:55,440
Speaker 1: for action. Everybody knows that, and that's what it's going

621
00:32:55,520 --> 00:32:58,280
Speaker 1: to take. You know, you have to realize that this

622
00:32:58,320 --> 00:33:01,640
Speaker 1: is twenty first century. This is not the nineteen thirties.

623
00:33:01,680 --> 00:33:06,360
Speaker 1: You can't beat these major corporations with traditional style unionizing.

624
00:33:07,000 --> 00:33:09,680
Speaker 1: That's why for the last twenty eight years, no established

625
00:33:09,720 --> 00:33:14,360
Speaker 1: union was able to achieve what we were able to do. Chris,

626
00:33:14,400 --> 00:33:17,080
Speaker 1: what is Amazon going to throw at you now? We

627
00:33:17,120 --> 00:33:20,360
Speaker 1: put up on the screen earlier in the show. Their response.

628
00:33:20,520 --> 00:33:23,360
Speaker 1: They're basically like sort of claiming that the election was

629
00:33:23,440 --> 00:33:28,200
Speaker 1: rigged and that NLRB acted inappropriately. I have no idea

630
00:33:28,280 --> 00:33:30,200
Speaker 1: what they're going to try to throw at you. They've

631
00:33:30,200 --> 00:33:32,840
Speaker 1: already tried to smearry you once and it backfire tremendously,

632
00:33:32,920 --> 00:33:34,320
Speaker 1: So if I were them, I'd be a little bit

633
00:33:34,360 --> 00:33:36,520
Speaker 1: leery of trying to do that again. What do you

634
00:33:36,520 --> 00:33:40,360
Speaker 1: think that they're going to come with now? I just

635
00:33:40,360 --> 00:33:42,480
Speaker 1: think they're going to continue the union bus and us

636
00:33:42,480 --> 00:33:45,760
Speaker 1: pour millions of dollars into stopping us with their lawyers

637
00:33:45,800 --> 00:33:49,320
Speaker 1: and their union bushers that they're hiring. You know, Shoot,

638
00:33:49,320 --> 00:33:51,840
Speaker 1: they already arrested me, so I don't know what else

639
00:33:51,880 --> 00:33:55,200
Speaker 1: they want to do after that. You know, not only

640
00:33:55,200 --> 00:33:58,360
Speaker 1: that rested me, they arrested my organizers who's actually a

641
00:33:58,360 --> 00:34:02,600
Speaker 1: worker twice. And I don't know. You know, we are

642
00:34:02,640 --> 00:34:05,720
Speaker 1: prepared for whatever they throw at us, you know, I mean,

643
00:34:05,880 --> 00:34:09,040
Speaker 1: I know, once again, we're taking on a trillion dollar

644
00:34:09,120 --> 00:34:10,879
Speaker 1: company and people who are like, you know, we're gonna

645
00:34:10,880 --> 00:34:13,800
Speaker 1: need help. But we have some cavalry that's starting to

646
00:34:13,800 --> 00:34:16,840
Speaker 1: show up now and now that the world is paying attention,

647
00:34:18,040 --> 00:34:20,520
Speaker 1: excuse me, We're going to have some help. We're going

648
00:34:20,560 --> 00:34:22,560
Speaker 1: to have some legal representation coming in. We're going to

649
00:34:22,640 --> 00:34:25,799
Speaker 1: have you know, some more negotiators coming in to help

650
00:34:25,880 --> 00:34:28,960
Speaker 1: us with the contract. We're going to get everything we need,

651
00:34:28,960 --> 00:34:30,960
Speaker 1: and I'm gonna make sure that, you know, everybody knows

652
00:34:31,000 --> 00:34:33,080
Speaker 1: that I'm a fighter and I'm a fight into the

653
00:34:33,160 --> 00:34:35,319
Speaker 1: very end to make sure not only that we just

654
00:34:35,360 --> 00:34:38,520
Speaker 1: winning elections, but we deliber our contract. Yeah, and I

655
00:34:38,520 --> 00:34:42,000
Speaker 1: think that's really important. And you know, to call out

656
00:34:42,040 --> 00:34:44,120
Speaker 1: the people who weren't there from the beginning. It's not

657
00:34:44,160 --> 00:34:46,720
Speaker 1: too late to show up. Guys. You got another vote

658
00:34:46,800 --> 00:34:50,560
Speaker 1: that is happening right, you know, nearby, what is it,

659
00:34:50,600 --> 00:34:54,240
Speaker 1: April twenty third, that voting starts. You all still need,

660
00:34:54,360 --> 00:34:56,040
Speaker 1: you know, a lot of support and a lot of

661
00:34:56,080 --> 00:34:59,000
Speaker 1: help here, Chris. Just tell people who are watching how

662
00:34:59,040 --> 00:35:04,359
Speaker 1: they can support with the movement. Yes, please support us,

663
00:35:04,440 --> 00:35:08,200
Speaker 1: help us volunteer, phone banking, whatever. We share our links

664
00:35:08,239 --> 00:35:10,840
Speaker 1: to have volunteers sign up the phone bakerby in the

665
00:35:10,840 --> 00:35:12,759
Speaker 1: New York area. Even if you're not you can do

666
00:35:12,800 --> 00:35:16,840
Speaker 1: it remotely. Please donate. If you can't help us volunteering

667
00:35:16,880 --> 00:35:19,360
Speaker 1: on the ground, please donate to our goal from me.

668
00:35:19,400 --> 00:35:22,080
Speaker 1: It's on our website at Amazon Labor Union dot org.

669
00:35:22,719 --> 00:35:27,640
Speaker 1: On our social media as well. Follow us, support us,

670
00:35:28,000 --> 00:35:31,280
Speaker 1: and just pay attention to what we're doing. Because it's

671
00:35:31,360 --> 00:35:34,160
Speaker 1: only day one for the AILU and we're hoping that

672
00:35:34,200 --> 00:35:37,560
Speaker 1: we're going to continue to spread like wildfire. We're excited

673
00:35:37,560 --> 00:35:39,440
Speaker 1: to see your progress, Chris. We encourage everybody to go

674
00:35:39,440 --> 00:35:41,280
Speaker 1: and donate. We're going to link down there in the description.

675
00:35:41,560 --> 00:35:44,120
Speaker 1: Been behind you from the very beginning and can't wait

676
00:35:44,120 --> 00:35:46,240
Speaker 1: to see what you do next. Yeah right, you're back. Absolutely,

677
00:35:46,520 --> 00:35:49,800
Speaker 1: it is truly incredible, and I just want to say, guys,

678
00:35:49,960 --> 00:35:53,000
Speaker 1: there is no more worthy cause out there if you

679
00:35:53,080 --> 00:35:57,200
Speaker 1: truly care about working people. This isn't just even about

680
00:35:57,280 --> 00:36:01,319
Speaker 1: Amazon workers across the country. Amazon sets the labor standards

681
00:36:01,480 --> 00:36:04,920
Speaker 1: for workers in every industry in this nation. If we

682
00:36:04,960 --> 00:36:07,760
Speaker 1: can change the game at Amazon, then literally anything as possible.

683
00:36:07,800 --> 00:36:10,960
Speaker 1: So Christians been out there with his coworkers doing this

684
00:36:11,080 --> 00:36:14,200
Speaker 1: on his own, bootstrapping it. Now's the time to flood

685
00:36:14,200 --> 00:36:16,520
Speaker 1: the zone with resources and make this a nationwide movement.

686
00:36:17,000 --> 00:36:20,200
Speaker 1: Thank you, congratulations, wonderful to see you see a man. Absolutely,

687
00:36:20,200 --> 00:36:24,799
Speaker 1: thank you. Take care of there. Okay, guys, we have

688
00:36:24,920 --> 00:36:29,759
Speaker 1: some big developments with regards to Starbucks. Now, as you

689
00:36:29,840 --> 00:36:34,600
Speaker 1: all know, there is a union movement spreading across Starbucks

690
00:36:35,160 --> 00:36:38,200
Speaker 1: like wildfire. We've already had a number of storage unionized.

691
00:36:38,200 --> 00:36:40,920
Speaker 1: We have more than one hundred that are set to vote,

692
00:36:41,239 --> 00:36:44,759
Speaker 1: and this thing just continues to pick up steam. Apparently

693
00:36:45,239 --> 00:36:48,040
Speaker 1: the execs over at Starbucks are sort of freaking out

694
00:36:48,480 --> 00:36:51,080
Speaker 1: because their attempts to union bus Not only did they

695
00:36:51,120 --> 00:36:54,480
Speaker 1: fall flat, I think they completely backfired. They only made

696
00:36:54,800 --> 00:36:58,719
Speaker 1: the case for a union that much stronger. So they

697
00:36:58,800 --> 00:37:01,920
Speaker 1: kicked down the old CEO. They brought back. Howard Schultz,

698
00:37:01,960 --> 00:37:04,040
Speaker 1: of course, is the founder of Starbucks, and we'll get

699
00:37:04,080 --> 00:37:06,200
Speaker 1: to in a moment, has a long history and lots

700
00:37:06,239 --> 00:37:09,439
Speaker 1: of experience at union busting, and in his first town

701
00:37:09,520 --> 00:37:13,239
Speaker 1: hall meeting had some very revealing things to say about

702
00:37:13,280 --> 00:37:16,040
Speaker 1: how he views the union effort. Let's take a listen.

703
00:37:16,360 --> 00:37:20,600
Speaker 1: Now here's where it gets a little sensitive because I've

704
00:37:20,600 --> 00:37:24,640
Speaker 1: been coached a little bit, but I do want to

705
00:37:24,680 --> 00:37:30,719
Speaker 1: talk about something pretty serious. We can't ignore what is

706
00:37:30,800 --> 00:37:37,320
Speaker 1: happening in the country as it relates to companies throughout

707
00:37:37,360 --> 00:37:45,280
Speaker 1: the country being assaulted in many ways by the threat

708
00:37:45,320 --> 00:37:51,640
Speaker 1: of unionization, assaulted by the threat of unionization. Let's just

709
00:37:51,880 --> 00:37:55,280
Speaker 1: be clear. All a union means is that your workers

710
00:37:55,280 --> 00:37:57,759
Speaker 1: have a voice and some power and a little bit

711
00:37:57,760 --> 00:38:00,240
Speaker 1: of democratics say in what goes on in their work life.

712
00:38:00,440 --> 00:38:03,880
Speaker 1: That is not an assault, it's not an existential threat.

713
00:38:04,160 --> 00:38:07,440
Speaker 1: Starbucks is doing just fine in terms of their profit margin.

714
00:38:07,480 --> 00:38:12,720
Speaker 1: Howard Schultz is extraordinarily wealthy. This guy never has to worry.

715
00:38:12,960 --> 00:38:16,080
Speaker 1: But they see this as an outright assault. And it

716
00:38:16,239 --> 00:38:20,200
Speaker 1: also is particularly jarring for Starbucks with the type of

717
00:38:20,280 --> 00:38:23,160
Speaker 1: language that they typically use about their baristas and I

718
00:38:23,200 --> 00:38:25,400
Speaker 1: don't remember if they call them like partners or whatever,

719
00:38:25,440 --> 00:38:28,320
Speaker 1: their sort of like languages around it. They have on

720
00:38:28,360 --> 00:38:31,040
Speaker 1: their website all this fuzzy language about uplift and how

721
00:38:31,120 --> 00:38:33,920
Speaker 1: much they care about these people. But when it comes

722
00:38:33,960 --> 00:38:36,719
Speaker 1: to and they're happy to give them, you know, they

723
00:38:36,719 --> 00:38:39,360
Speaker 1: have better wages than some places in the food industry,

724
00:38:39,360 --> 00:38:42,160
Speaker 1: they have better benefits in some places in the food industry.

725
00:38:42,239 --> 00:38:44,360
Speaker 1: They're okay with doing that because it's like part of

726
00:38:44,440 --> 00:38:46,920
Speaker 1: the way that they virtue signal in their brand. But

727
00:38:47,040 --> 00:38:50,640
Speaker 1: when it comes to workers having an actual say and

728
00:38:50,719 --> 00:38:53,799
Speaker 1: a little bit of power, absolutely not. They consider that

729
00:38:53,840 --> 00:38:57,319
Speaker 1: a completely existential threat and they're willing to go to

730
00:38:57,480 --> 00:39:02,240
Speaker 1: some pretty extreme lengths in order to try to stop

731
00:39:02,320 --> 00:39:05,759
Speaker 1: this union movement in its tracks. Here is the very

732
00:39:05,800 --> 00:39:09,560
Speaker 1: first big move that Howard Schultz is making now reinstated

733
00:39:09,640 --> 00:39:13,920
Speaker 1: as CEO of Starbucks. He is scrapping and this for

734
00:39:14,000 --> 00:39:18,360
Speaker 1: them is really big deal. Scrapping stock buybacks to quote,

735
00:39:18,440 --> 00:39:22,319
Speaker 1: invest more profit into our people. Let me read you

736
00:39:22,400 --> 00:39:25,200
Speaker 1: a little bit from this piece. In a letter on

737
00:39:25,239 --> 00:39:27,680
Speaker 1: Monday to employees, customers, investors, and others titled on the

738
00:39:27,719 --> 00:39:31,400
Speaker 1: Future of Starbucks, Schultz announced the company would suspend stock

739
00:39:31,440 --> 00:39:35,120
Speaker 1: buybacks immediately, his first act on his first day back

740
00:39:35,160 --> 00:39:38,160
Speaker 1: in the top job, which he held twice before. He

741
00:39:38,239 --> 00:39:41,319
Speaker 1: said stopping buybacks would allow Starbus to quote invest more

742
00:39:41,320 --> 00:39:43,359
Speaker 1: profit into our people in our stores, the only way

743
00:39:43,400 --> 00:39:46,160
Speaker 1: to create long term value for our stakeholders. And here's

744
00:39:46,200 --> 00:39:49,759
Speaker 1: the more of the context. Starbucks spent ten billion on

745
00:39:49,800 --> 00:39:52,480
Speaker 1: buybacks in twenty nineteen, paused him at the start of

746
00:39:52,520 --> 00:39:55,480
Speaker 1: the pandemic, but recently resumed the practice, spending three and

747
00:39:55,480 --> 00:39:57,719
Speaker 1: a half billion on buybacks in its most recent quarter,

748
00:39:57,760 --> 00:40:01,239
Speaker 1: which ended in early January. In October, Starbucks said it

749
00:40:01,239 --> 00:40:05,759
Speaker 1: would spend twenty billion on buybacks and dividends over the

750
00:40:05,800 --> 00:40:10,520
Speaker 1: next three years, which is obviously an extraordinary giveaway to

751
00:40:10,600 --> 00:40:13,399
Speaker 1: shareholders and investors. That's the way you should think about

752
00:40:13,440 --> 00:40:18,000
Speaker 1: stock buybacks. And so they are so desperate to stop

753
00:40:18,120 --> 00:40:21,959
Speaker 1: this union movement that they will even agree to keep,

754
00:40:22,120 --> 00:40:24,640
Speaker 1: you know, to stop giving away the whole store to

755
00:40:24,719 --> 00:40:27,799
Speaker 1: the investors and the shareholders to try to signal to

756
00:40:28,280 --> 00:40:31,120
Speaker 1: their workers that they're going to do better. The bottom

757
00:40:31,239 --> 00:40:34,600
Speaker 1: line is, though workers should not have to depend on

758
00:40:34,719 --> 00:40:38,399
Speaker 1: the goodwill and largess of billionaires in order to have

759
00:40:38,520 --> 00:40:41,920
Speaker 1: a decent workplace. All they want is a little bit

760
00:40:41,960 --> 00:40:44,400
Speaker 1: of say in what is their day to day life.

761
00:40:44,680 --> 00:40:47,960
Speaker 1: That's it. And no amount of like you know, investor

762
00:40:48,000 --> 00:40:51,240
Speaker 1: announcements is going to be able to stop that sentiment

763
00:40:51,280 --> 00:40:53,719
Speaker 1: within these Starbucks across the country. Yeah. I think that

764
00:40:54,120 --> 00:40:55,799
Speaker 1: there's a lot to be said here and actually kind

765
00:40:55,800 --> 00:40:57,360
Speaker 1: of look at it as a win win, which is,

766
00:40:57,480 --> 00:41:00,120
Speaker 1: on the one hand, we finally stopped a company from

767
00:41:00,120 --> 00:41:04,200
Speaker 1: doing buybacks. Right, this is a good thing now, it's

768
00:41:04,280 --> 00:41:07,120
Speaker 1: really what it should be, which is that because of

769
00:41:07,719 --> 00:41:10,960
Speaker 1: balance and pressure from the workforce, they're like, well, if

770
00:41:11,000 --> 00:41:13,080
Speaker 1: we don't want to deal with these unions, we're gonna

771
00:41:13,080 --> 00:41:14,879
Speaker 1: have to pay people a hell of a lot more

772
00:41:14,960 --> 00:41:17,839
Speaker 1: and give them power. So they either get paid, give

773
00:41:17,880 --> 00:41:20,440
Speaker 1: them power, not give them power. We'll give them a

774
00:41:20,480 --> 00:41:22,600
Speaker 1: little more, we'll give them a little better benefits. We

775
00:41:22,680 --> 00:41:25,560
Speaker 1: might give them a little pay raise power absolutely absolutely, Okay,

776
00:41:25,600 --> 00:41:27,399
Speaker 1: but win win, right, I mean, like, on one hand,

777
00:41:27,440 --> 00:41:29,200
Speaker 1: you either get more money or they join a union

778
00:41:29,200 --> 00:41:30,480
Speaker 1: and they fight you, and then they're going to make

779
00:41:30,480 --> 00:41:32,800
Speaker 1: even more money. So this is one of those areas

780
00:41:32,840 --> 00:41:36,200
Speaker 1: where even the threat of it itself can significantly impact.

781
00:41:36,280 --> 00:41:39,080
Speaker 1: It shows you how corporate behavior. Amazon did the same

782
00:41:39,120 --> 00:41:43,680
Speaker 1: thing exactly they had to after the Bessemer effort, which

783
00:41:43,719 --> 00:41:46,560
Speaker 1: you know, the first time around really didn't even come close.

784
00:41:46,920 --> 00:41:50,560
Speaker 1: But even just that first little threat of unionization, they

785
00:41:50,760 --> 00:41:53,600
Speaker 1: totally try to reframe how they were talking about workers.

786
00:41:53,640 --> 00:41:55,200
Speaker 1: They said they want to be the best employer on

787
00:41:55,239 --> 00:41:57,799
Speaker 1: the planet. They upped some of the benefits and some

788
00:41:57,880 --> 00:41:59,960
Speaker 1: of the wages to try to again stem the time.

789
00:42:00,480 --> 00:42:03,239
Speaker 1: So it really does show you the power of these

790
00:42:03,320 --> 00:42:07,120
Speaker 1: movements that even when they don't end up forming a

791
00:42:07,280 --> 00:42:10,719
Speaker 1: union and workers actually having direct power and direct say

792
00:42:10,760 --> 00:42:14,880
Speaker 1: in their workplace, it forces these corporate titans into making

793
00:42:14,920 --> 00:42:17,879
Speaker 1: some concessions, which is pretty extraordinary. Yeah. So, and let's

794
00:42:17,920 --> 00:42:19,640
Speaker 1: go and put C four up there on the screen.

795
00:42:19,760 --> 00:42:21,640
Speaker 1: This is something we want to keep everybody updated on,

796
00:42:21,840 --> 00:42:24,440
Speaker 1: which is, don't take this all one hundred percent, you know,

797
00:42:24,760 --> 00:42:27,839
Speaker 1: as a good thing. Leila Dalton, who was an organizer

798
00:42:27,880 --> 00:42:31,480
Speaker 1: for Starbucks Workers United, was just fired by Starbucks, and

799
00:42:31,520 --> 00:42:34,440
Speaker 1: you actually pointed out Crystal that in an interview that

800
00:42:34,480 --> 00:42:37,239
Speaker 1: she gave, she said to Jacobin, my goal is to

801
00:42:37,320 --> 00:42:40,240
Speaker 1: unionize the entire food industry. Starbucks is a big corporation,

802
00:42:40,320 --> 00:42:42,319
Speaker 1: but there are many other fast food places. There are

803
00:42:42,320 --> 00:42:44,160
Speaker 1: many health hazards that happen on a day to day

804
00:42:44,360 --> 00:42:48,320
Speaker 1: basis because of understaffing or improper working conditions. You're serving customers,

805
00:42:48,360 --> 00:42:50,600
Speaker 1: cleaning and getting sanitized or washing your hands as hard.

806
00:42:50,800 --> 00:42:52,759
Speaker 1: I think some people deal with not only Starbucks, but

807
00:42:52,800 --> 00:42:55,000
Speaker 1: say McDonald's and Wendy's too. So I want the whole

808
00:42:55,000 --> 00:42:58,600
Speaker 1: food industry to know it's possible to unionize. And just

809
00:42:58,600 --> 00:43:00,360
Speaker 1: as mister Schultz takes Helme of the c company and

810
00:43:00,400 --> 00:43:03,760
Speaker 1: accuses people like her of assault, she is summarily fired

811
00:43:03,840 --> 00:43:06,120
Speaker 1: from that company. So it's not, by the way, that

812
00:43:06,239 --> 00:43:08,600
Speaker 1: is illegal if you can prove it, but it's very

813
00:43:08,640 --> 00:43:11,400
Speaker 1: hard to prove. There's a lot to say about this.

814
00:43:11,760 --> 00:43:15,680
Speaker 1: First of all, I just think these standard union busting

815
00:43:15,760 --> 00:43:18,920
Speaker 1: tactics not only do I not think that they're working,

816
00:43:19,120 --> 00:43:22,640
Speaker 1: I think they're backfiring. And we see that with Amazon.

817
00:43:22,880 --> 00:43:25,960
Speaker 1: I mean Starbucks should go and ask Amazon how it

818
00:43:26,000 --> 00:43:27,880
Speaker 1: goes for them, how it went for them when they

819
00:43:27,920 --> 00:43:31,560
Speaker 1: fired Christian Smalls. Before they fire more of these worker organizers,

820
00:43:31,560 --> 00:43:33,719
Speaker 1: and Leila is not the first one to get the ax.

821
00:43:33,800 --> 00:43:36,640
Speaker 1: By the way, I think that there is a new

822
00:43:37,440 --> 00:43:42,799
Speaker 1: climate of worker boldness, a genuine sort of uprising. We're

823
00:43:42,840 --> 00:43:45,799
Speaker 1: normally these tactics. What are they intended to do. They're

824
00:43:45,800 --> 00:43:49,680
Speaker 1: intended to scare people. They're intended to enforce and demand

825
00:43:49,800 --> 00:43:53,480
Speaker 1: compliance because you're just too afraid to even vote yes

826
00:43:53,600 --> 00:43:57,719
Speaker 1: on the union or stand up for yourself at all. Instead,

827
00:43:58,280 --> 00:44:01,040
Speaker 1: what I see, and what certainly was the case at Amazon,

828
00:44:01,280 --> 00:44:05,320
Speaker 1: is just pissed people off. It made them more committed

829
00:44:05,360 --> 00:44:08,960
Speaker 1: to the cause because people see someone like Layla, who

830
00:44:09,040 --> 00:44:12,160
Speaker 1: was a leader within her store, the people she works with,

831
00:44:12,280 --> 00:44:14,040
Speaker 1: they know who she is, They know what a good

832
00:44:14,040 --> 00:44:17,800
Speaker 1: worker she was, They know that her firing was completely unfair,

833
00:44:18,120 --> 00:44:21,880
Speaker 1: and they also see the way that she was unafraid

834
00:44:22,239 --> 00:44:25,000
Speaker 1: of standing up for herself. Same thing with Christian Smalls.

835
00:44:25,000 --> 00:44:26,560
Speaker 1: This is one of the things the stories that keeps

836
00:44:26,600 --> 00:44:30,160
Speaker 1: coming out of the Amazon organizing effort is that they

837
00:44:30,320 --> 00:44:34,960
Speaker 1: very intentionally created a culture of boldness and a culture

838
00:44:35,000 --> 00:44:37,839
Speaker 1: of risk taking to demonstrate to the people around them

839
00:44:38,040 --> 00:44:39,800
Speaker 1: you don't have to be afraid of these people. You

840
00:44:39,800 --> 00:44:41,520
Speaker 1: don't have to be afraid of these managers. You don't

841
00:44:41,560 --> 00:44:44,000
Speaker 1: have to be afraid of Amazon. You have rights, and

842
00:44:44,000 --> 00:44:46,200
Speaker 1: if we stand together, we actually are powerful and we

843
00:44:46,239 --> 00:44:50,719
Speaker 1: actually can cause their capitulation on key issues because of

844
00:44:50,760 --> 00:44:55,040
Speaker 1: the labor landscape as it exists today, where by and large,

845
00:44:55,120 --> 00:44:58,360
Speaker 1: the problem isn't getting a job, the problem is getting

846
00:44:58,480 --> 00:45:02,880
Speaker 1: a good job. That also creates a climate of boldness

847
00:45:02,880 --> 00:45:04,840
Speaker 1: because workers feel like, all right, the worst you're going

848
00:45:04,880 --> 00:45:06,480
Speaker 1: to do to me is you're going to fire me.

849
00:45:06,760 --> 00:45:09,160
Speaker 1: Guess what I can get another crappy, low wage job.

850
00:45:09,280 --> 00:45:11,680
Speaker 1: This one is not all that special right now. What

851
00:45:11,719 --> 00:45:13,680
Speaker 1: they are in the fight for is to have some

852
00:45:13,840 --> 00:45:17,600
Speaker 1: say and to have living wages, decent benefits at the

853
00:45:17,640 --> 00:45:20,759
Speaker 1: workplace they're at. Christian Actually we played it yesterday said

854
00:45:20,760 --> 00:45:23,799
Speaker 1: something that was kind of revolutionary that I don't know

855
00:45:23,800 --> 00:45:26,680
Speaker 1: if you guys caught it, but he said, we're not

856
00:45:26,840 --> 00:45:31,040
Speaker 1: quitting our jobs anymore. We're going to unionize. That represents

857
00:45:31,080 --> 00:45:35,479
Speaker 1: a sea change in how workers have viewed the viewed

858
00:45:35,520 --> 00:45:38,120
Speaker 1: their employment and viewed the workforce. No, no, I'm not

859
00:45:38,239 --> 00:45:40,360
Speaker 1: just leaving and getting another gig. You don't have that

860
00:45:40,440 --> 00:45:42,400
Speaker 1: power over me anymore. I'm going to force you to

861
00:45:42,400 --> 00:45:45,279
Speaker 1: make this job that I have right now into a

862
00:45:45,320 --> 00:45:48,239
Speaker 1: good job. So I just have this sense and we'll

863
00:45:48,280 --> 00:45:50,920
Speaker 1: see what the impact here of Leila being fired is.

864
00:45:50,960 --> 00:45:54,319
Speaker 1: But I just have this sense that these tactics they

865
00:45:54,360 --> 00:45:57,640
Speaker 1: are not working. They are completely backfiring. We saw in

866
00:45:57,680 --> 00:46:00,560
Speaker 1: Buffalo two, remember how Schultz came in and made that

867
00:46:00,640 --> 00:46:03,400
Speaker 1: weird like Holocaust analogy that I was like, what is

868
00:46:03,440 --> 00:46:05,920
Speaker 1: this all about? They, you know, flooded the zone with

869
00:46:05,960 --> 00:46:09,160
Speaker 1: all these corporate executives and these captive audience meetings and

870
00:46:09,239 --> 00:46:12,040
Speaker 1: every other tactic they could think of, and it didn't work.

871
00:46:12,080 --> 00:46:14,040
Speaker 1: And not only did it not work, I really think

872
00:46:14,080 --> 00:46:17,040
Speaker 1: that is part of why you have seen this takeoff

873
00:46:17,120 --> 00:46:20,440
Speaker 1: in the way that it has. So listen Leyla, like,

874
00:46:21,080 --> 00:46:23,279
Speaker 1: I really hope for the best for her. I know

875
00:46:23,360 --> 00:46:25,799
Speaker 1: she has big ambitions. I hope she stays engaged in

876
00:46:25,800 --> 00:46:29,040
Speaker 1: the labor movement. And I think that this movement is

877
00:46:29,080 --> 00:46:31,080
Speaker 1: only going to continue to grow. I think this is

878
00:46:31,120 --> 00:46:32,440
Speaker 1: just the tip of the iceberg. I think in the

879
00:46:32,480 --> 00:46:34,480
Speaker 1: social media age, You're right, this is not you know,

880
00:46:34,520 --> 00:46:37,359
Speaker 1: eighteen ninety six, where you can just disappear people who

881
00:46:37,360 --> 00:46:39,400
Speaker 1: own the prop You know, with the Internet and with

882
00:46:39,480 --> 00:46:43,120
Speaker 1: the organization Twitter and the open channels of communication, I

883
00:46:43,160 --> 00:46:46,000
Speaker 1: do think it's just impossible, and especially people like us

884
00:46:46,120 --> 00:46:48,239
Speaker 1: who bring attention and who talk about it. So I

885
00:46:48,320 --> 00:46:51,000
Speaker 1: expect that there will be a backlash. And like we said,

886
00:46:51,040 --> 00:46:54,160
Speaker 1: even this is a victory. Stopping stock buybacks and making

887
00:46:54,280 --> 00:46:57,800
Speaker 1: them pay more in salary. That is a titanic shift

888
00:46:57,840 --> 00:47:00,799
Speaker 1: in corporate behavior in the span of what a year

889
00:47:01,160 --> 00:47:04,520
Speaker 1: relative to how they were conducting themselves previously. So let's

890
00:47:04,600 --> 00:47:06,560
Speaker 1: keep it going, all right, Tacker, what are you looking at? Well?

891
00:47:06,680 --> 00:47:08,520
Speaker 1: As I've said here before on the show, out of

892
00:47:08,560 --> 00:47:11,400
Speaker 1: all the megabillionaires in our society, the only one I

893
00:47:11,440 --> 00:47:14,880
Speaker 1: really respect is Elon Musk. That doesn't mean he's above criticism,

894
00:47:14,880 --> 00:47:17,239
Speaker 1: as I've shown here before in detailing his financial ties

895
00:47:17,280 --> 00:47:19,480
Speaker 1: to the Chinese regime. But I do find that most

896
00:47:19,520 --> 00:47:23,160
Speaker 1: people in elite media criticize Elon because of his occasionally

897
00:47:23,160 --> 00:47:26,560
Speaker 1: cringe Twitter feed. More importantly, his general refusal to bow

898
00:47:26,640 --> 00:47:29,000
Speaker 1: to whatever the trendy thing is in our current elite

899
00:47:29,000 --> 00:47:31,800
Speaker 1: culture and to buck those trends. One of those issues

900
00:47:31,840 --> 00:47:34,439
Speaker 1: where Elon has stood fast, at least in rhetoric, has

901
00:47:34,480 --> 00:47:37,480
Speaker 1: been free speech where he released a tantalizing an interesting

902
00:47:37,520 --> 00:47:41,040
Speaker 1: poll on Twitter several days ago asking if quote free

903
00:47:41,040 --> 00:47:44,440
Speaker 1: speech is essential to a functioning democracy, do you believe

904
00:47:44,560 --> 00:47:48,640
Speaker 1: Twitter rigorously adheres to this principle. Thirty percent of respondents

905
00:47:48,640 --> 00:47:51,360
Speaker 1: said yes, I'd love to meet those folks. Seventy percent

906
00:47:51,520 --> 00:47:55,600
Speaker 1: said no. Elon mysteriously replied, quote, the consequences of this

907
00:47:55,680 --> 00:47:59,040
Speaker 1: poll will be important, Please vote carefully. Now. It's very

908
00:47:59,120 --> 00:48:01,640
Speaker 1: likely that decision may already been made, as when Elon

909
00:48:01,719 --> 00:48:04,400
Speaker 1: released his latest poll on whether he should buy Twitter

910
00:48:04,440 --> 00:48:08,640
Speaker 1: stock or not, but it still stunned the world when

911
00:48:08,800 --> 00:48:13,520
Speaker 1: yesterday morning, Elon filed paperwork with the SEC disclosing that

912
00:48:13,560 --> 00:48:17,440
Speaker 1: he had purchased a nine percent stake in Twitter. The

913
00:48:17,560 --> 00:48:20,440
Speaker 1: nine point two percent stake Elon has acquired within Twitter

914
00:48:20,640 --> 00:48:24,040
Speaker 1: makes him the largest single shareholder in the company, and

915
00:48:24,080 --> 00:48:27,800
Speaker 1: it opens up all sorts of interesting possibilities. Just this morning,

916
00:48:27,800 --> 00:48:30,440
Speaker 1: they announced he'll be joining the board of directors. And

917
00:48:30,480 --> 00:48:33,680
Speaker 1: to put it in perspective, Elon now owns four times

918
00:48:33,719 --> 00:48:36,840
Speaker 1: as much of Twitter as Twitter founder and former CEO

919
00:48:37,040 --> 00:48:41,839
Speaker 1: Jack Dorsey, an absolutely astounding percentage of the company. Now,

920
00:48:41,880 --> 00:48:44,359
Speaker 1: to be clear, it's a little bit wonky here he

921
00:48:44,400 --> 00:48:46,799
Speaker 1: does not own a more than ten percent or known

922
00:48:46,880 --> 00:48:49,279
Speaker 1: as an insider steak of the company, and he is

923
00:48:49,400 --> 00:48:53,080
Speaker 1: disclosing instead a passive role. Still he has a board seat.

924
00:48:53,160 --> 00:48:56,080
Speaker 1: So it's important. Twitter stock pop nearly twenty five percent

925
00:48:56,120 --> 00:48:58,440
Speaker 1: of the news that Elon had acquired it. But more

926
00:48:58,440 --> 00:49:00,440
Speaker 1: interesting to me is how is this is going to

927
00:49:00,520 --> 00:49:03,080
Speaker 1: change things? You see, Twitter has been going through a

928
00:49:03,200 --> 00:49:07,719
Speaker 1: very rough patch business wise for some time. Jack Dorsey's departure,

929
00:49:07,880 --> 00:49:11,720
Speaker 1: while spun as voluntary, was the result of immense pressure

930
00:49:11,760 --> 00:49:16,520
Speaker 1: from outside investors who wanted Twitter to pursue more subscription products,

931
00:49:16,600 --> 00:49:18,560
Speaker 1: and they wanted to get rid of Dorsey, who they

932
00:49:18,560 --> 00:49:20,960
Speaker 1: saw as absentee and not very good at his job.

933
00:49:21,280 --> 00:49:23,440
Speaker 1: As a result of this, Dorsey was forced out in

934
00:49:23,480 --> 00:49:26,440
Speaker 1: a reorganization of the company and a reshuffling of the board,

935
00:49:26,560 --> 00:49:29,400
Speaker 1: which is why they turned to well liked Parague agar

936
00:49:29,440 --> 00:49:32,920
Speaker 1: Wall as the new CEO. Paragu, a former engineer, was

937
00:49:32,960 --> 00:49:36,960
Speaker 1: tapped mostly because he didn't offend anybody, and because the

938
00:49:37,000 --> 00:49:40,080
Speaker 1: main demand from the new investors was that he continued

939
00:49:40,120 --> 00:49:43,759
Speaker 1: product innovation at a faster pace. What they ignored was this,

940
00:49:44,360 --> 00:49:46,920
Speaker 1: none of that is really that hard, and in tapping

941
00:49:47,000 --> 00:49:49,920
Speaker 1: Agar Wall. They elevated somebody to the position of CEO

942
00:49:50,239 --> 00:49:52,879
Speaker 1: who is clearly not thought that hard about the way

943
00:49:52,880 --> 00:49:56,799
Speaker 1: that Twitter influences discourse, especially amongst elites, and whether the

944
00:49:56,840 --> 00:50:00,479
Speaker 1: First Amendment matters or not. As Agarwall himself said before

945
00:50:00,520 --> 00:50:03,520
Speaker 1: he became the CEO, quote, our role is not to

946
00:50:03,600 --> 00:50:08,080
Speaker 1: be bound by the First Amendment when it relates to censorship. Instead,

947
00:50:08,320 --> 00:50:12,160
Speaker 1: he reiterated that making people feel safe was the priority.

948
00:50:12,480 --> 00:50:16,719
Speaker 1: Classic activist nonsense, exactly the wrong choice. What this highlighted

949
00:50:16,719 --> 00:50:18,680
Speaker 1: to me at that time was how awful a choice

950
00:50:18,680 --> 00:50:21,960
Speaker 1: that Agarwall was for CEO. I wrote this, ironically enough

951
00:50:22,000 --> 00:50:25,440
Speaker 1: on Twitter in reaction quote, none of the big problems

952
00:50:25,480 --> 00:50:28,160
Speaker 1: that Twitter faces in the next five years are tech ones.

953
00:50:28,280 --> 00:50:31,719
Speaker 1: They are socio political. They require principles and forethought as

954
00:50:31,719 --> 00:50:35,240
Speaker 1: to how policy applies in controversial use cases. I added,

955
00:50:35,480 --> 00:50:38,120
Speaker 1: choosing someone who clearly does not have a track record

956
00:50:38,160 --> 00:50:41,880
Speaker 1: of this type of management will lead to more haphazard enforcement,

957
00:50:42,200 --> 00:50:47,200
Speaker 1: more woke employee results, and worse public discourse. In other words,

958
00:50:47,400 --> 00:50:50,040
Speaker 1: the biggest problem that Twitter faces has nothing to do

959
00:50:50,080 --> 00:50:53,880
Speaker 1: with engineering, and honestly, even with business. Their stock and

960
00:50:53,920 --> 00:50:57,560
Speaker 1: their value is inextricably linked to the fact that while yes,

961
00:50:57,760 --> 00:51:00,520
Speaker 1: the majority of the US population is not on on Twitter,

962
00:51:00,760 --> 00:51:07,960
Speaker 1: that the elites overwhelmingly are in almost every sector sports, news, politics, finance,

963
00:51:08,120 --> 00:51:12,480
Speaker 1: venture capital. Each individual sector has its own Twitter board

964
00:51:12,680 --> 00:51:17,520
Speaker 1: verse where being somebody actually does mean something very much

965
00:51:17,560 --> 00:51:20,400
Speaker 1: so in the real world. Twitter's elite capture and a

966
00:51:20,520 --> 00:51:23,680
Speaker 1: disproportionate impact then on so much of the world that

967
00:51:23,719 --> 00:51:26,279
Speaker 1: you are as around you is why it's important to

968
00:51:26,400 --> 00:51:30,040
Speaker 1: understand then its content policy and why then when they

969
00:51:30,080 --> 00:51:33,040
Speaker 1: ban the Hunter Biden laptop story, when they cancel or

970
00:51:33,080 --> 00:51:36,560
Speaker 1: they take off accounts of elected representatives and even the

971
00:51:36,600 --> 00:51:39,920
Speaker 1: sitting president of the United States, that a discussion around

972
00:51:39,920 --> 00:51:43,319
Speaker 1: those principles is so important. That is where Elon can

973
00:51:43,320 --> 00:51:45,920
Speaker 1: come in. The truth is from a business perspective, there

974
00:51:46,000 --> 00:51:48,600
Speaker 1: is not much except the current ad business and subscription

975
00:51:48,680 --> 00:51:51,439
Speaker 1: products that Twitter Blue like Twitter Blue, that is left

976
00:51:51,480 --> 00:51:53,759
Speaker 1: to be done over there, But some of the most

977
00:51:53,760 --> 00:51:57,240
Speaker 1: critical decisions in company history are coming. First and foremost

978
00:51:57,320 --> 00:52:00,000
Speaker 1: is this, Donald Trump is probably running for president again.

979
00:52:00,400 --> 00:52:03,280
Speaker 1: If he does, and especially if he wins the GOP nomination,

980
00:52:03,640 --> 00:52:05,480
Speaker 1: is Twitter really not going to let him back on

981
00:52:05,520 --> 00:52:09,040
Speaker 1: that platform, because that seems crazy. I'm of the opinion

982
00:52:09,040 --> 00:52:11,080
Speaker 1: that world leaders, no matter who they are, Kim jong

983
00:52:11,200 --> 00:52:14,720
Speaker 1: un Ayah to Lahomani chairman G and others should never

984
00:52:14,920 --> 00:52:17,640
Speaker 1: be taken off the platform. Why because I think the

985
00:52:17,640 --> 00:52:21,920
Speaker 1: public interest outweighs any stupid, strust and safety policy at Twitter.

986
00:52:22,120 --> 00:52:25,880
Speaker 1: But the election aside, Twitter has other big problems to solve.

987
00:52:26,080 --> 00:52:28,160
Speaker 1: They already flubbed the lab leak in the early days

988
00:52:28,160 --> 00:52:30,759
Speaker 1: of COVID. What if we have another pandemic? They banned

989
00:52:30,760 --> 00:52:33,560
Speaker 1: the Hunter Biden laptop stories. I already mentioned. Their ad

990
00:52:33,600 --> 00:52:36,359
Speaker 1: hoc policy under the new CEO even led to a

991
00:52:36,400 --> 00:52:39,680
Speaker 1: new stupid rule that would effectively take away your right

992
00:52:39,960 --> 00:52:42,680
Speaker 1: to record somebody who is wronging you and then post

993
00:52:42,680 --> 00:52:45,160
Speaker 1: a video of it online because they're a private citizen.

994
00:52:46,000 --> 00:52:49,560
Speaker 1: In short, the content policies of Twitter have a huge

995
00:52:49,600 --> 00:52:52,480
Speaker 1: impact on the world around us. If Musk can have

996
00:52:52,719 --> 00:52:55,719
Speaker 1: any effect at all, it will be his ability to

997
00:52:55,960 --> 00:52:58,960
Speaker 1: influence the company in that way. And as a friend

998
00:52:59,040 --> 00:53:02,080
Speaker 1: of mine put it, this is basically a win win situation.

999
00:53:02,480 --> 00:53:05,480
Speaker 1: Either Musk impacts the company in a positive way and

1000
00:53:05,520 --> 00:53:08,640
Speaker 1: we have freer speech, or we learned that all the

1001
00:53:08,640 --> 00:53:11,880
Speaker 1: b asked about shareholder activism was actually fake in the

1002
00:53:11,880 --> 00:53:14,480
Speaker 1: first place, and then we get to explore more creative

1003
00:53:14,480 --> 00:53:17,560
Speaker 1: solutions for making Twitter better for all of us. Either way,

1004
00:53:17,719 --> 00:53:20,640
Speaker 1: it's a good thing. So elon, I wish you the

1005
00:53:20,680 --> 00:53:26,279
Speaker 1: best of luck. There was Obama's triumphant return to the

1006
00:53:26,320 --> 00:53:30,040
Speaker 1: White House, and it didn't go so well for the

1007
00:53:30,120 --> 00:53:34,400
Speaker 1: current president. The former president really upstaging him. So first,

1008
00:53:34,400 --> 00:53:36,440
Speaker 1: we're going to show you a joke he made about

1009
00:53:36,440 --> 00:53:39,600
Speaker 1: Biden being vice president. It'll be relevant in a moment.

1010
00:53:39,680 --> 00:53:43,240
Speaker 1: And second, just in terms of how the former president

1011
00:53:43,280 --> 00:53:47,120
Speaker 1: was received as a rock star at the current president's

1012
00:53:47,120 --> 00:53:52,720
Speaker 1: White House. Let's take a listen Vice President Biden, vice President.

1013
00:53:56,080 --> 00:54:18,279
Speaker 1: That was all set up. Mister president, what do you

1014
00:54:18,320 --> 00:54:20,520
Speaker 1: say to democrats worried about the midterms? What do you

1015
00:54:20,560 --> 00:54:22,800
Speaker 1: tell democrats worried about the midterms? We got a story

1016
00:54:22,800 --> 00:54:32,920
Speaker 1: to tell you's gotta tell. Go ahead and play the

1017
00:54:32,960 --> 00:54:37,440
Speaker 1: next clip, guys. This one shows President Obama being feted

1018
00:54:37,520 --> 00:54:40,719
Speaker 1: at the White House, while you can also see at

1019
00:54:40,719 --> 00:54:44,480
Speaker 1: the same time President Biden in the background basically being

1020
00:54:44,520 --> 00:55:13,239
Speaker 1: ignored the entire time. That's brutal for those who are

1021
00:55:13,280 --> 00:55:16,479
Speaker 1: just listening. I'm sorry, but we had to make sure

1022
00:55:16,520 --> 00:55:19,839
Speaker 1: that people just saw how President Obama's shaking hands even

1023
00:55:19,920 --> 00:55:22,480
Speaker 1: Kamala is there and the President of the United States

1024
00:55:22,800 --> 00:55:24,719
Speaker 1: is seated in the background, and this did not go

1025
00:55:24,840 --> 00:55:27,239
Speaker 1: unnoticed by some of Biden's advisors. Let's put this up

1026
00:55:27,239 --> 00:55:30,480
Speaker 1: there on the screen from Alex Thompson saying, quote, I

1027
00:55:30,480 --> 00:55:33,080
Speaker 1: can tell you not everyone in Biden world thought that

1028
00:55:33,120 --> 00:55:36,359
Speaker 1: the Vice President Biden joke was all that funny, And

1029
00:55:36,400 --> 00:55:39,080
Speaker 1: really it just goes to show you, Crystal, that Obama

1030
00:55:39,360 --> 00:55:42,400
Speaker 1: still is the rock star of the Democratic Party. Biden

1031
00:55:42,560 --> 00:55:45,399
Speaker 1: was always the reluctant choice, and even at his own

1032
00:55:45,440 --> 00:55:49,080
Speaker 1: White House he's upstaged by the former president. It's frankly

1033
00:55:49,160 --> 00:55:51,759
Speaker 1: humiliating for the former president. I mean for the current

1034
00:55:51,760 --> 00:55:53,960
Speaker 1: president to be treated in such a way. I don't

1035
00:55:54,000 --> 00:55:55,960
Speaker 1: even mean with a joke, but really in terms of

1036
00:55:56,040 --> 00:55:59,440
Speaker 1: you could see the energy that was there for Obama himself,

1037
00:56:00,040 --> 00:56:03,000
Speaker 1: Biden is just not there. And that's I mean, yeah,

1038
00:56:03,239 --> 00:56:05,600
Speaker 1: what else do you say about that? That's really embarrassing

1039
00:56:05,600 --> 00:56:08,200
Speaker 1: for our current president. Yeah. That the moment that we

1040
00:56:08,280 --> 00:56:11,680
Speaker 1: showed where he's kind of like standing awkwardly around at

1041
00:56:11,680 --> 00:56:14,120
Speaker 1: the party trying to jump into a conversation. I think

1042
00:56:14,160 --> 00:56:17,080
Speaker 1: we've all had that moment. It's sure, but very relatable.

1043
00:56:17,120 --> 00:56:19,480
Speaker 1: But we couldn't all been president of the United States.

1044
00:56:21,080 --> 00:56:23,960
Speaker 1: I think the other thing that all of this shows

1045
00:56:24,280 --> 00:56:27,879
Speaker 1: is it's no accident Obama is brought in now as

1046
00:56:27,920 --> 00:56:32,840
Speaker 1: Democrats are fully pressing the panic button on the midterm elections.

1047
00:56:33,080 --> 00:56:35,640
Speaker 1: They see the polling. It's not getting better. In fact,

1048
00:56:35,680 --> 00:56:39,440
Speaker 1: in some ways it's getting worse. The landscape looks extraordinarily dire.

1049
00:56:39,800 --> 00:56:42,240
Speaker 1: I mean, I'm seeing projections now that on the current

1050
00:56:42,680 --> 00:56:47,160
Speaker 1: track and with demographics, especially Latinos, shifting to the Republican Party,

1051
00:56:47,400 --> 00:56:49,120
Speaker 1: you could end up not only with Trump in the

1052
00:56:49,160 --> 00:56:51,799
Speaker 1: White House, but with him having a fricking super majority

1053
00:56:51,840 --> 00:56:55,480
Speaker 1: in the Senate and control of the House. So Democrats

1054
00:56:55,480 --> 00:56:59,360
Speaker 1: have sort of like fully awakened to the absolute disaster

1055
00:56:59,840 --> 00:57:02,759
Speaker 1: that is awaiting them electorally. And we'll get into some

1056
00:57:02,800 --> 00:57:05,640
Speaker 1: of the specific mistakes that they have made themselves. And

1057
00:57:05,719 --> 00:57:09,560
Speaker 1: so what are they reach for? They reach for Obama,

1058
00:57:09,600 --> 00:57:13,120
Speaker 1: who has been proven time and time again to even

1059
00:57:13,160 --> 00:57:15,640
Speaker 1: though he remains a lot of he retains a lot

1060
00:57:15,719 --> 00:57:19,160
Speaker 1: of personal popularity within the Democratic base, but he has

1061
00:57:19,200 --> 00:57:24,560
Speaker 1: never demonstrated an ability to bring anyone along on the

1062
00:57:24,640 --> 00:57:28,040
Speaker 1: ride of his own personal popularity. Barack Obama is very

1063
00:57:28,040 --> 00:57:32,280
Speaker 1: good for Barack Obama and that's about it. So it's

1064
00:57:32,320 --> 00:57:36,320
Speaker 1: also very sad indictment of the Democratic Party that all

1065
00:57:36,360 --> 00:57:38,360
Speaker 1: they know how to do is to try to live

1066
00:57:38,400 --> 00:57:41,480
Speaker 1: off the fumes of the Obama glory years. And it

1067
00:57:41,560 --> 00:57:44,400
Speaker 1: kind of reminds me of during the George W. Bush administration,

1068
00:57:44,440 --> 00:57:45,840
Speaker 1: when all they really knew how to do was live

1069
00:57:45,880 --> 00:57:48,520
Speaker 1: off the fumes of the Clinton years, which you know,

1070
00:57:48,640 --> 00:57:52,400
Speaker 1: history has not treated kindly when you consider tax cuts

1071
00:57:52,400 --> 00:57:54,880
Speaker 1: to the rich and ending welfare as we know it,

1072
00:57:54,960 --> 00:57:58,080
Speaker 1: and of course NAFTA and many other sins during the

1073
00:57:58,080 --> 00:58:00,600
Speaker 1: Clinton years, an entire shift of the party away from

1074
00:58:00,640 --> 00:58:03,120
Speaker 1: its working class space and towards sort of sort of

1075
00:58:03,640 --> 00:58:08,600
Speaker 1: like upwardly mobile suburban professionals. The Obama years are going

1076
00:58:08,640 --> 00:58:11,680
Speaker 1: to wear poorly overtime as well, and already have been

1077
00:58:11,760 --> 00:58:14,800
Speaker 1: in a dramatic sense rejected in terms of a policy

1078
00:58:14,840 --> 00:58:17,520
Speaker 1: perspective by the American people. That's why Trump got elected

1079
00:58:17,600 --> 00:58:20,680
Speaker 1: in part. And yet this is all they know how

1080
00:58:20,760 --> 00:58:25,880
Speaker 1: to reach for instead of actually trying to deliver material

1081
00:58:25,880 --> 00:58:28,919
Speaker 1: benefits to the American population that might in the long

1082
00:58:29,000 --> 00:58:32,280
Speaker 1: run in or to their political benefit. It's also very

1083
00:58:32,320 --> 00:58:34,480
Speaker 1: telling that this, you know, used to bring him back

1084
00:58:34,480 --> 00:58:35,800
Speaker 1: to the White House. It was all about sort of

1085
00:58:35,840 --> 00:58:41,640
Speaker 1: shoring up his core legislative initiative, Obamacare, closing one of

1086
00:58:41,680 --> 00:58:44,919
Speaker 1: the convoluted loopholes that they left in there, and order

1087
00:58:44,960 --> 00:58:47,840
Speaker 1: to try to appease this or that Republican talking point.

1088
00:58:48,360 --> 00:58:50,520
Speaker 1: And so even the fact that they're still leaning so

1089
00:58:50,600 --> 00:58:54,720
Speaker 1: heavily on Obamacare after these all these years, a policy

1090
00:58:54,760 --> 00:58:57,720
Speaker 1: that is an improvement over what it was before but

1091
00:58:57,880 --> 00:59:01,640
Speaker 1: has you know, major problems and effectively was a giveaway

1092
00:59:01,680 --> 00:59:04,880
Speaker 1: to the health insurance industry is also very telling. So

1093
00:59:05,280 --> 00:59:08,000
Speaker 1: with regards to some of the own goals of the

1094
00:59:08,040 --> 00:59:11,800
Speaker 1: Democratic Party, there's some new polling that really puts a

1095
00:59:11,800 --> 00:59:13,480
Speaker 1: pretty fine point on it. Let's put this up on

1096
00:59:13,520 --> 00:59:16,600
Speaker 1: the screen. So we've talked about this a little bit before,

1097
00:59:16,640 --> 00:59:18,600
Speaker 1: but we've got some new polls in this regard. You'll

1098
00:59:18,600 --> 00:59:21,680
Speaker 1: recall that as part of the relief package that was

1099
00:59:21,760 --> 00:59:25,680
Speaker 1: passed last year, they included one year of child tax credit,

1100
00:59:25,760 --> 00:59:29,680
Speaker 1: relatively universal benefit that went to families. It was extremely

1101
00:59:29,760 --> 00:59:34,800
Speaker 1: effective in helping to eliminate child poverty and child hunger. Well,

1102
00:59:35,040 --> 00:59:37,280
Speaker 1: they did not renew it. The whole assumption was this

1103
00:59:37,320 --> 00:59:39,320
Speaker 1: will be so good that, of course we're going to

1104
00:59:39,360 --> 00:59:41,680
Speaker 1: renew it, like of course, Mansion and whoever, we'll get

1105
00:59:41,680 --> 00:59:43,800
Speaker 1: on board, and even some Republicans may come on board

1106
00:59:43,840 --> 00:59:46,200
Speaker 1: to make sure we retain the child tax card. Well,

1107
00:59:46,200 --> 00:59:49,160
Speaker 1: that didn't happen. So the benefit is dried up. And

1108
00:59:49,240 --> 00:59:52,120
Speaker 1: you used to have among the group of people who

1109
00:59:52,200 --> 00:59:55,600
Speaker 1: receive the child tax credit, the child tax credit recipients,

1110
00:59:56,360 --> 01:00:00,080
Speaker 1: Democrats had a twelve point advantage with this group. So

1111
01:00:00,120 --> 01:00:02,880
Speaker 1: if you were getting the child tax credit benefit, you

1112
01:00:02,960 --> 01:00:05,720
Speaker 1: were more likely to vote for Democrats by twelve points.

1113
01:00:06,080 --> 01:00:09,000
Speaker 1: Now that that benefit has dried up, this very same

1114
01:00:09,040 --> 01:00:14,880
Speaker 1: group actually narrowly favors Republicans. So for all of the

1115
01:00:15,000 --> 01:00:17,880
Speaker 1: conversation about how culture war is everything and it's the

1116
01:00:17,880 --> 01:00:19,640
Speaker 1: only thing people care about, is the only thing people

1117
01:00:19,720 --> 01:00:22,760
Speaker 1: vote on, that's just not true. It's just that neither

1118
01:00:22,880 --> 01:00:27,800
Speaker 1: party actually offers a material plan that voters might get

1119
01:00:27,800 --> 01:00:30,320
Speaker 1: on board with and not have yanked out from underneath

1120
01:00:30,360 --> 01:00:33,240
Speaker 1: of them after like a measly few months. We also

1121
01:00:33,320 --> 01:00:35,760
Speaker 1: talked about with regards to Obamacare, another thing that they

1122
01:00:35,840 --> 01:00:40,400
Speaker 1: passed in that relief package was expanded subsidies to make

1123
01:00:40,440 --> 01:00:44,080
Speaker 1: Obamacare more affordable. These are subsidies that should have been

1124
01:00:44,120 --> 01:00:46,280
Speaker 1: there in the bill from the beginning, but they're worried

1125
01:00:46,320 --> 01:00:48,080
Speaker 1: about like, oh, they're going to say we're spending too

1126
01:00:48,120 --> 01:00:49,840
Speaker 1: much money, which of course they said that anyway, so

1127
01:00:49,840 --> 01:00:52,400
Speaker 1: it didn't even matter. So they didn't pass the subsidies

1128
01:00:52,440 --> 01:00:54,840
Speaker 1: to start with. They put them in for one year

1129
01:00:55,360 --> 01:00:57,880
Speaker 1: in this relief package because again they were worried about, oh,

1130
01:00:57,880 --> 01:00:59,520
Speaker 1: we can't put it in permanently because it'll cost too

1131
01:00:59,600 --> 01:01:03,120
Speaker 1: much money. Now they're going away and guess when people

1132
01:01:03,160 --> 01:01:05,880
Speaker 1: are going to get the letter that says, oh, your

1133
01:01:05,920 --> 01:01:10,560
Speaker 1: health insurance premiums are about to skyrocket October, right before

1134
01:01:10,800 --> 01:01:14,280
Speaker 1: the November elections. And as I mentioned last time, the group,

1135
01:01:14,480 --> 01:01:16,640
Speaker 1: and it's the American Prospect who did the great reporting

1136
01:01:16,640 --> 01:01:19,680
Speaker 1: on this, the group that is most likely to see

1137
01:01:19,720 --> 01:01:24,160
Speaker 1: skyrocketing health insurance premiums because of all the weird quirks

1138
01:01:24,160 --> 01:01:30,360
Speaker 1: and means testing in this law. Middle class older Americans,

1139
01:01:30,400 --> 01:01:33,400
Speaker 1: the very group that is most likely to vote. So

1140
01:01:33,640 --> 01:01:35,720
Speaker 1: all of this is a long way of saying that

1141
01:01:36,080 --> 01:01:38,960
Speaker 1: there have been many world events which have transpired which

1142
01:01:38,960 --> 01:01:41,720
Speaker 1: are not really Biden's fault what he has done with

1143
01:01:41,800 --> 01:01:44,040
Speaker 1: him and his failures and his complete utter lack of

1144
01:01:44,120 --> 01:01:46,320
Speaker 1: leadership and the fact that all they can do is

1145
01:01:46,360 --> 01:01:49,120
Speaker 1: like pull Obama out of the bag and beg voters

1146
01:01:49,120 --> 01:01:51,160
Speaker 1: to please show up even though Obama did his thing

1147
01:01:51,160 --> 01:01:53,320
Speaker 1: again and being like, well, well, I can't promise that much,

1148
01:01:53,360 --> 01:01:56,880
Speaker 1: but you should vote for us anyway. That's all they got,

1149
01:01:56,960 --> 01:01:59,560
Speaker 1: And it's sad and it's pathetic if all you've got

1150
01:01:59,640 --> 01:02:01,960
Speaker 1: is to write direct a law that you passed thirteen

1151
01:02:02,040 --> 01:02:05,480
Speaker 1: years ago. Right, remember when we did something that was

1152
01:02:05,640 --> 01:02:10,080
Speaker 1: moderately okay sometimes for you, we cannot even do that anymore.

1153
01:02:10,080 --> 01:02:12,000
Speaker 1: But you should vote for us anyway. Actually think about

1154
01:02:12,000 --> 01:02:14,280
Speaker 1: where you were thirteen years ago and then be like, wait,

1155
01:02:14,320 --> 01:02:16,439
Speaker 1: they still want me to remember that and then vote

1156
01:02:16,480 --> 01:02:19,200
Speaker 1: on that in the election? What are you doing? That's

1157
01:02:19,240 --> 01:02:20,920
Speaker 1: why we pulled that clip of me. We go to

1158
01:02:20,960 --> 01:02:23,200
Speaker 1: story to tell, just go to tell the story. What

1159
01:02:23,360 --> 01:02:26,400
Speaker 1: does that mean? As usual, he continues to keep this up.

1160
01:02:26,640 --> 01:02:28,880
Speaker 1: Vote for us because we're better than the other guy.

1161
01:02:29,080 --> 01:02:31,280
Speaker 1: How's that working out for you? The child ask credit

1162
01:02:31,440 --> 01:02:33,760
Speaker 1: polling is great. I mean, look, the other thing is,

1163
01:02:33,800 --> 01:02:35,680
Speaker 1: like you said, with Biden, there's a lot of stuff

1164
01:02:35,680 --> 01:02:38,000
Speaker 1: that's out of control. But losing by five and losing

1165
01:02:38,000 --> 01:02:40,320
Speaker 1: by twelve is a totally different at ball game in

1166
01:02:40,400 --> 01:02:42,720
Speaker 1: terms of the Senate, in terms of the midterms, yea,

1167
01:02:42,840 --> 01:02:46,240
Speaker 1: and more, as we saw and many times throughout history, like,

1168
01:02:46,320 --> 01:02:50,000
Speaker 1: there are still elements within Biden's control which he has flubbed.

1169
01:02:50,000 --> 01:02:52,040
Speaker 1: And you can't just blame it all, you know, asking

1170
01:02:52,080 --> 01:02:55,840
Speaker 1: Obama to bail you out, it's not gonna work. Ask Hillary. Yeah,

1171
01:02:55,880 --> 01:03:00,560
Speaker 1: and as we began to block with like, the comparison

1172
01:03:00,960 --> 01:03:04,480
Speaker 1: was not particularly favorable for Biden in the end here,

1173
01:03:04,680 --> 01:03:08,920
Speaker 1: So yeah, a kind of sad statement on the Democratic

1174
01:03:08,960 --> 01:03:12,040
Speaker 1: Party joining us now the man himself, Matt Tayib of

1175
01:03:12,240 --> 01:03:15,080
Speaker 1: TK News, which you all should be subscribed to on substack.

1176
01:03:15,160 --> 01:03:16,880
Speaker 1: Right to see my friend, Good to see man, Good

1177
01:03:16,880 --> 01:03:20,080
Speaker 1: to see you both. So let's go ahead and put

1178
01:03:20,160 --> 01:03:23,240
Speaker 1: this piece road up on the screen, which I rather enjoyed,

1179
01:03:23,240 --> 01:03:25,480
Speaker 1: but I'm sure as usual got you in some hot water.

1180
01:03:26,000 --> 01:03:28,480
Speaker 1: This should not be a controversial take. But your headline

1181
01:03:28,520 --> 01:03:32,360
Speaker 1: here is regime change doesn't work. You more on how

1182
01:03:32,360 --> 01:03:34,640
Speaker 1: on examples of regime change blowing up in our faces

1183
01:03:34,680 --> 01:03:38,200
Speaker 1: do we really need before realizing it's a disastrous policy,

1184
01:03:38,360 --> 01:03:43,400
Speaker 1: Will we really try it with a nuclear armed adversary? Matt,

1185
01:03:43,440 --> 01:03:46,080
Speaker 1: just give us a few examples for those who need

1186
01:03:46,120 --> 01:03:49,480
Speaker 1: like a little historical reminder of all of our attempts

1187
01:03:49,480 --> 01:03:53,080
Speaker 1: at regime change and how that exactly has gone well,

1188
01:03:53,440 --> 01:03:58,240
Speaker 1: so that the two most recent ones were Iraq and Afghanistan,

1189
01:03:58,280 --> 01:04:01,680
Speaker 1: with Iraq being the signature program because we well, actually

1190
01:04:01,680 --> 01:04:06,040
Speaker 1: in both of those cases, we spent massive amounts of money,

1191
01:04:06,080 --> 01:04:10,960
Speaker 1: I mean trillions of dollars and a lot of lives

1192
01:04:11,000 --> 01:04:14,760
Speaker 1: and basically ended up worse off than we were before

1193
01:04:15,800 --> 01:04:19,040
Speaker 1: the operations started. But even before that, we have a

1194
01:04:19,160 --> 01:04:23,680
Speaker 1: lengthy history of trying to overturn foreign governments install leaders.

1195
01:04:24,560 --> 01:04:27,240
Speaker 1: The most recent incarnation of this idea is that we

1196
01:04:27,400 --> 01:04:31,000
Speaker 1: trying to install liberal democracies everywhere, But that wasn't always

1197
01:04:31,080 --> 01:04:36,000
Speaker 1: the case. Sometimes we were trying to install authoritarians who

1198
01:04:36,000 --> 01:04:37,760
Speaker 1: are more friendly to the United States, like in the

1199
01:04:37,760 --> 01:04:42,720
Speaker 1: case of the Shah. But the new fad is let's

1200
01:04:42,800 --> 01:04:46,000
Speaker 1: make countries everywhere liberal democracies. In that way, we won't

1201
01:04:46,040 --> 01:04:50,360
Speaker 1: have any any war or conflict. And it just hasn't

1202
01:04:50,400 --> 01:04:54,240
Speaker 1: worked because we can't. It's a naive belief that we

1203
01:04:54,320 --> 01:04:58,680
Speaker 1: can force other countries to adopt the system that they

1204
01:04:58,800 --> 01:05:01,560
Speaker 1: may not have any history. Matt, what do you think

1205
01:05:01,600 --> 01:05:03,560
Speaker 1: that this impetus comes from. We were talking about this

1206
01:05:03,600 --> 01:05:06,360
Speaker 1: earlier in the show. I mean, how can you I

1207
01:05:06,360 --> 01:05:09,440
Speaker 1: don't understand how you can live through Iraq, Libya, Syria,

1208
01:05:09,600 --> 01:05:12,360
Speaker 1: Afghanistan in the last twenty years and be like, you

1209
01:05:12,400 --> 01:05:14,800
Speaker 1: know what, this time the fifth time. That's the time.

1210
01:05:15,840 --> 01:05:18,560
Speaker 1: I'm being facetious. But it's a real thing. A lot

1211
01:05:18,600 --> 01:05:20,840
Speaker 1: of the people in our elite media actually believe this.

1212
01:05:21,200 --> 01:05:25,680
Speaker 1: Where does this come from? I have no idea, you know,

1213
01:05:25,800 --> 01:05:28,080
Speaker 1: And I would add a lot of the countries in

1214
01:05:28,120 --> 01:05:31,120
Speaker 1: the former Soviet Union because that's appropos to this discussion.

1215
01:05:31,400 --> 01:05:33,800
Speaker 1: I mean, part of the reason that I feel so

1216
01:05:33,960 --> 01:05:37,400
Speaker 1: hardened about this issue is that, you know, I lived

1217
01:05:37,440 --> 01:05:42,720
Speaker 1: in Russia and in Uzbekistan and some other parts of

1218
01:05:42,720 --> 01:05:45,040
Speaker 1: the former silvit Nion during a time when we thought

1219
01:05:45,680 --> 01:05:48,520
Speaker 1: that it would be as simple as well, let's give

1220
01:05:48,600 --> 01:05:53,600
Speaker 1: these countries stock markets, elections and some other institutions, and

1221
01:05:53,640 --> 01:05:57,000
Speaker 1: they will instantly become American friendly allies. And then before

1222
01:05:57,040 --> 01:05:59,200
Speaker 1: you know what, we're fixing elections so that they don't

1223
01:05:59,240 --> 01:06:06,120
Speaker 1: elect communists or other politicians that we don't like. It.

1224
01:06:06,320 --> 01:06:09,240
Speaker 1: Just I think there's a naivete about this, and I

1225
01:06:09,280 --> 01:06:12,880
Speaker 1: think there's also a lack of foresight about the number

1226
01:06:12,880 --> 01:06:17,080
Speaker 1: of things that can go wrong when when you try

1227
01:06:17,080 --> 01:06:20,240
Speaker 1: to install a leader in a foreign country. People think

1228
01:06:20,280 --> 01:06:24,280
Speaker 1: that somehow that foreign populations won't react negatively to that,

1229
01:06:25,120 --> 01:06:28,400
Speaker 1: and they always do. Yeah. Well, and even before we

1230
01:06:28,440 --> 01:06:30,320
Speaker 1: get to the conversation whether or not it works, it's

1231
01:06:30,360 --> 01:06:33,400
Speaker 1: also illegal. So on its face, even if you could

1232
01:06:33,400 --> 01:06:35,760
Speaker 1: be persuaded that like, no, this time it really would work,

1233
01:06:35,960 --> 01:06:37,920
Speaker 1: we still shouldn't do it. You know, you have this

1234
01:06:38,040 --> 01:06:40,240
Speaker 1: line in here that I think is really interesting you

1235
01:06:40,280 --> 01:06:43,200
Speaker 1: talk about I think this is Thomas Friedman, who had

1236
01:06:43,200 --> 01:06:47,040
Speaker 1: as right, who had the McDonald's theory, which is the

1237
01:06:47,040 --> 01:06:50,560
Speaker 1: Golden Arches theory. Yes, when a country reaches a certain

1238
01:06:50,640 --> 01:06:52,880
Speaker 1: level of economic development, when it has a middle class

1239
01:06:52,880 --> 01:06:56,520
Speaker 1: big enough to support in McDonald's, it becomes a McDonald's country.

1240
01:06:56,560 --> 01:06:59,360
Speaker 1: And people in McDonald's countries don't like to fight wars.

1241
01:06:59,520 --> 01:07:03,040
Speaker 1: They like to wait in line for burgers. Now, I

1242
01:07:03,080 --> 01:07:07,600
Speaker 1: have seen a lot of sort of triumphalism from neoliberals.

1243
01:07:07,600 --> 01:07:11,240
Speaker 1: So we're basically like, see, our worldview is validated by

1244
01:07:11,280 --> 01:07:13,520
Speaker 1: what's happening in the world right now, and I just

1245
01:07:13,560 --> 01:07:16,440
Speaker 1: see it as complete opposite. I mean, in a lot

1246
01:07:16,440 --> 01:07:19,560
Speaker 1: of ways we were instrumental in architect detecting the Russian

1247
01:07:19,600 --> 01:07:23,720
Speaker 1: regime that exists today, and so for me, the events

1248
01:07:23,720 --> 01:07:26,439
Speaker 1: that are unfolding are a thorough indictment of that view

1249
01:07:26,440 --> 01:07:29,480
Speaker 1: of the world. Yeah. Absolutely, And I can say that

1250
01:07:29,520 --> 01:07:32,000
Speaker 1: as somebody who as a young reporter was sent out

1251
01:07:32,040 --> 01:07:37,120
Speaker 1: to cover the ribbon cuttings of all those American institutions. Yeah, like,

1252
01:07:37,160 --> 01:07:41,600
Speaker 1: maybe well not McDonald's, but KFC, like I know, IKEA

1253
01:07:41,880 --> 01:07:44,800
Speaker 1: obviously is a Swedish thing, but yeah, there was there

1254
01:07:44,880 --> 01:07:47,160
Speaker 1: was a belief that once we gave them the consumer

1255
01:07:47,240 --> 01:07:51,880
Speaker 1: economy and some of the superficial trappings of Western culture,

1256
01:07:52,000 --> 01:07:54,920
Speaker 1: that immediately they would come over on board and it

1257
01:07:54,960 --> 01:08:00,320
Speaker 1: would be like us. And this I think stems from

1258
01:08:00,360 --> 01:08:03,920
Speaker 1: a fundamental misunderstanding of how like the idea that cultures

1259
01:08:03,960 --> 01:08:06,400
Speaker 1: can be different, that they can have different histories and

1260
01:08:06,480 --> 01:08:11,200
Speaker 1: different reactions to things. So yeah, both Ukraine and Russia

1261
01:08:11,280 --> 01:08:14,880
Speaker 1: had McDonald's and now they're you know, at each other's throats,

1262
01:08:15,120 --> 01:08:20,960
Speaker 1: and the McDonald's obviously didn't help a whole lot. So yeah,

1263
01:08:21,320 --> 01:08:24,640
Speaker 1: it's just it's just further evidence that that this this is,

1264
01:08:24,680 --> 01:08:28,920
Speaker 1: this is collapsing. But more to the point, what's going on.

1265
01:08:29,479 --> 01:08:33,000
Speaker 1: Is what I fear is that the United States is

1266
01:08:34,520 --> 01:08:37,960
Speaker 1: not letting Ukraine or not empowering Ukraine to make its

1267
01:08:37,960 --> 01:08:40,320
Speaker 1: own decisions about how to negotiate its way out of

1268
01:08:40,320 --> 01:08:44,679
Speaker 1: this war, and and that is going to lead to, uh,

1269
01:08:44,800 --> 01:08:47,479
Speaker 1: you know, a quagmire of the type that we're familiar with.

1270
01:08:47,920 --> 01:08:50,320
Speaker 1: I completely agree. I'll make a controversial statement. I think

1271
01:08:50,400 --> 01:08:54,759
Speaker 1: McDonald's taste the best in authoritarian country. It actually does.

1272
01:08:54,880 --> 01:08:59,320
Speaker 1: I had Taro Pi in China and that thing was

1273
01:08:59,360 --> 01:09:03,920
Speaker 1: good authoritarian countries. But I did spend six weeks while

1274
01:09:03,920 --> 01:09:06,360
Speaker 1: I was pregnant in India, and I ate an inordinate

1275
01:09:06,479 --> 01:09:09,360
Speaker 1: number of mc chickens in India, and it was like

1276
01:09:09,360 --> 01:09:14,439
Speaker 1: a lifeline. Maha. Roger Berger is a on a series note, Matt,

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Speaker 1: what do you think is the Biden administration's policy? And

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Speaker 1: I don't think you'll mind if I share that. We

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01:09:20,000 --> 01:09:22,439
Speaker 1: were kind of talking a little bit offline about this,

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01:09:22,520 --> 01:09:25,040
Speaker 1: and we're saying, like, you know, we've gotten some leaks

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01:09:25,080 --> 01:09:27,400
Speaker 1: of administration officials who were like, you know, the real

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01:09:27,479 --> 01:09:29,880
Speaker 1: endgame here is putin out in power. Now. They think

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Speaker 1: they can accomplish that without going in militarily, just by

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01:09:32,840 --> 01:09:35,479
Speaker 1: like squeezing them through sanctions and praying and hoping and

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01:09:35,479 --> 01:09:39,640
Speaker 1: hoping to foment some sort of protest movement that effectuates

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Speaker 1: a coup against the government. But you know, shortly after

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Speaker 1: we're having that conversation about or maybe it's just incompetence

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01:09:46,160 --> 01:09:47,920
Speaker 1: and they don't really have a plan or a goal here,

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01:09:48,280 --> 01:09:51,000
Speaker 1: Biden comes out and says Putin cannot remain in power,

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Speaker 1: and in my opinion, seems to sort of give up

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01:09:53,240 --> 01:09:56,760
Speaker 1: the game about what they're really thinking. So how do

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Speaker 1: you read the tea leaves of what the administration is

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01:10:00,280 --> 01:10:03,120
Speaker 1: actually doing, what they're actually thinking, and what their real

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01:10:03,320 --> 01:10:07,720
Speaker 1: goals are here. Well, it sure seems like, you know,

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Speaker 1: dating back years that they've had a plan about having

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01:10:12,280 --> 01:10:15,719
Speaker 1: a military presence there. You know, they announced their intention

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01:10:15,800 --> 01:10:19,760
Speaker 1: to try to expand Ukraine NATO to Ukraine. But more recently,

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Speaker 1: I think what you've seen is a number of quotes

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Speaker 1: by officials who are saying exactly what you said, like

1300
01:10:26,160 --> 01:10:31,360
Speaker 1: the endgame is we want to drag Rush into a quagmire.

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01:10:31,400 --> 01:10:33,439
Speaker 1: That was in a David Sanger piece in the New

1302
01:10:33,520 --> 01:10:37,080
Speaker 1: York Times. There was a Bloomberg piece that quoted some

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01:10:37,120 --> 01:10:40,519
Speaker 1: British officials saying that our number one option is to

1304
01:10:40,640 --> 01:10:43,720
Speaker 1: bleed Putin. You know, we want to we want the

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01:10:43,760 --> 01:10:50,280
Speaker 1: conflict extended. And there's a logic to that unless you're Ukrainian, right,

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Speaker 1: Because basically what the what the West is saying is

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01:10:55,680 --> 01:10:58,240
Speaker 1: we think that this is going to be politically cost

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Speaker 1: costly for Putin and that aultimately this will result in

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01:11:01,479 --> 01:11:05,040
Speaker 1: political instability back in Russia and he'll leave power. There

1310
01:11:05,040 --> 01:11:07,400
Speaker 1: are two errors that thinking. Number one, it doesn't take

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Speaker 1: into account the costs of Ukraine. The other one is

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Speaker 1: who's to say that the person who replaces Putin won't

1313
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Speaker 1: be worse than Putin? Because there is that wing of

1314
01:11:18,360 --> 01:11:22,200
Speaker 1: the Russian government that's waiting to come in and correct

1315
01:11:22,240 --> 01:11:25,760
Speaker 1: the embarrassment that they feel that they're going through. So

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01:11:25,840 --> 01:11:29,599
Speaker 1: I actually do think that that's what they're thinking, is

1317
01:11:29,640 --> 01:11:31,679
Speaker 1: that we want this to go on for a while.

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01:11:32,200 --> 01:11:34,920
Speaker 1: There's some evidence for that, and they think that that,

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Speaker 1: you know, it'll result in a new leader in Russia

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01:11:39,479 --> 01:11:43,200
Speaker 1: that will be more amenable to them. I think, whenever

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Speaker 1: we look at all this, Matt, what we just see

1322
01:11:46,280 --> 01:11:49,280
Speaker 1: is that when you have a lack of coherence in strategy,

1323
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Speaker 1: what fills the void are the most powerful like immovable forces,

1324
01:11:53,720 --> 01:11:58,519
Speaker 1: which remains interventionism. And in that context, what are some

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01:11:58,560 --> 01:12:01,040
Speaker 1: of the danger points that we should look to. You know,

1326
01:12:01,160 --> 01:12:03,360
Speaker 1: people forget it may seem like it's been a long time.

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Speaker 1: We're a very very short time in the history of

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01:12:05,800 --> 01:12:08,400
Speaker 1: most conflicts, they last for years. I mean, what are

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Speaker 1: some of the potential danger points that we could be

1330
01:12:11,040 --> 01:12:14,160
Speaker 1: coming up on in the near future. Well, I think

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Speaker 1: we're already at one of them, which is where Zelensky

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01:12:17,439 --> 01:12:22,839
Speaker 1: asks for United States help and achieving a diplomatic solution

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Speaker 1: and doesn't really get an answer. Because if the United

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Speaker 1: States sort of essentially opts out of the diplomatic process,

1335
01:12:31,080 --> 01:12:36,920
Speaker 1: then it's Zelensky is no longer empowered to negotiate his

1336
01:12:36,960 --> 01:12:40,840
Speaker 1: way out of this conflict, and really Russia is really

1337
01:12:40,840 --> 01:12:44,200
Speaker 1: at war with US and not with Ukraine, and that

1338
01:12:45,080 --> 01:12:48,479
Speaker 1: massively complicates the situation. In other words, if Zelensky doesn't

1339
01:12:48,520 --> 01:12:50,759
Speaker 1: have the authority to sit at the table and say,

1340
01:12:51,120 --> 01:12:53,560
Speaker 1: all right, I accept those terms, the sanctions will be

1341
01:12:53,600 --> 01:13:00,439
Speaker 1: over tomorrow, then we're at cross purposes. That then then

1342
01:13:00,520 --> 01:13:03,240
Speaker 1: the situation gets much more complicated. So I think I

1343
01:13:03,240 --> 01:13:05,479
Speaker 1: think that's one big thing is that if we don't

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01:13:05,520 --> 01:13:09,479
Speaker 1: participate in the peace process. Then then you know, that's

1345
01:13:09,520 --> 01:13:13,559
Speaker 1: a major indication that's something much bigger already than what's

1346
01:13:13,600 --> 01:13:18,320
Speaker 1: going on is afoot. I think that's all really valuable

1347
01:13:18,360 --> 01:13:21,680
Speaker 1: insight and perspective. Guys, go and subscribe to Matt Substack.

1348
01:13:22,240 --> 01:13:25,040
Speaker 1: His insights here are really invaluable. Thank you so much, Matt.

1349
01:13:25,080 --> 01:13:27,200
Speaker 1: Great to see you, Thanks man, Thanks so much. Christal Sager,

1350
01:13:27,240 --> 01:13:30,080
Speaker 1: good care, pleasure. It's great to see you man. Thank

1351
01:13:30,080 --> 01:13:32,120
Speaker 1: you guys so much for watching. We really appreciate it.

1352
01:13:32,439 --> 01:13:34,479
Speaker 1: You know, look, it's been a fun week. I told

1353
01:13:34,520 --> 01:13:37,639
Speaker 1: you all. The Taylor Lorenz segment got you montives still

1354
01:13:37,960 --> 01:13:41,840
Speaker 1: zero explanation from YouTube as to what exactly happened there,

1355
01:13:41,880 --> 01:13:45,320
Speaker 1: And that's exactly the issue. Being reliant on these ridiculous

1356
01:13:45,320 --> 01:13:49,160
Speaker 1: content policies, be it the election or this harassment whatever

1357
01:13:49,200 --> 01:13:52,120
Speaker 1: that means exactly just means that the only people can

1358
01:13:52,160 --> 01:13:55,080
Speaker 1: rely on are you. As we're actually talking more about

1359
01:13:55,280 --> 01:13:58,120
Speaker 1: our budget today, I mean, yeah, compared to CNN, you know,

1360
01:13:58,160 --> 01:14:01,360
Speaker 1: it's not that big, but we have all the for us,

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01:14:01,360 --> 01:14:04,200
Speaker 1: it's a lot, and in terms of our partnerships and

1362
01:14:04,280 --> 01:14:06,960
Speaker 1: the general cost of like running all this and editing

1363
01:14:07,000 --> 01:14:09,680
Speaker 1: time and continuing to hire and explore better ways to

1364
01:14:09,720 --> 01:14:12,160
Speaker 1: give you guys the midterms. It's a lot of fun,

1365
01:14:12,280 --> 01:14:14,960
Speaker 1: and we have a very very big announcement that's gonna

1366
01:14:14,960 --> 01:14:18,360
Speaker 1: be coming on our Monday show about what's happening next week.

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01:14:18,400 --> 01:14:21,760
Speaker 1: I'm really excited to debut it. It involves a little

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01:14:21,760 --> 01:14:23,559
Speaker 1: bit of travel on our end, so that's a little

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01:14:23,560 --> 01:14:25,960
Speaker 1: bit of tease, but there's gonna be a big thing

1370
01:14:26,000 --> 01:14:27,840
Speaker 1: happening next week that you're all going to want in

1371
01:14:27,840 --> 01:14:30,559
Speaker 1: tune into, and our premium subscribers are going to get

1372
01:14:30,600 --> 01:14:32,560
Speaker 1: a very very special benefit that some of them have

1373
01:14:32,680 --> 01:14:35,280
Speaker 1: been asking for for a long time. So it's gonna

1374
01:14:35,320 --> 01:14:37,720
Speaker 1: be fun. We can't wait to debut it, and we'll

1375
01:14:37,720 --> 01:14:40,320
Speaker 1: see you all next week. That's right. We're expanding, we're adding,

1376
01:14:40,360 --> 01:14:42,800
Speaker 1: we're traveling, we're doing all the things, guys, and we

1377
01:14:42,840 --> 01:14:45,479
Speaker 1: couldn't be happier to have your support in all of it.

1378
01:14:45,560 --> 01:14:47,360
Speaker 1: So thank you, enjoy your weekend. We're gonna have some

1379
01:14:47,439 --> 01:14:49,400
Speaker 1: great content for you then and we'll see you back

1380
01:14:49,400 --> 01:14:50,679
Speaker 1: here for a full show on Monday.