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Speaker 1: Hey, guys, thanks for listening to Breaking Points with Crystal

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Speaker 1: and Sager. We're going to be totally upfront with you.

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Speaker 1: hour early before everyone else. You get to hear our

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Speaker 1: reactions to each other's monologues. You get to participate and

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Speaker 1: weekly ask me any things, and you don't need to

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Speaker 1: hear our annoying voices pitching you like I am right now,

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Speaker 1: com become a Premium member today, which is available in

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Speaker 1: the show notes. Enjoy the show, guys, Good morning, everybody,

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Speaker 1: Happy Tuesday. We have an amazing show of everybody today.

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Speaker 1: When do we have Bristol? Indeed we do so we're

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Speaker 1: taking a look at the very latest developments out of

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Speaker 1: Haiti plot there continues to thicken. Really have no idea

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Speaker 1: what's going on at pretty well, some new details that

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Speaker 1: are pretty wild, further implicating, you know, some US citizens.

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Speaker 1: As I talked about yesterday, plan seems to have been

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Speaker 1: hatched the United States. We'll get to all of that.

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Speaker 1: Gonna talk about the billionaire space race. I have lots

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Speaker 1: of feelings about it. I know Soccer does as well.

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Speaker 1: New levels of surveillance now going after your text messages.

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Speaker 1: That's interesting. Child tax credit people are starting to have

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Speaker 1: that money hit their accounts. That's actually a huge deal

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Speaker 1: in American politics. Soccer's gonna be looking at why liberals

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Speaker 1: are the worst White liberals specifically white liberals specifically. Okay,

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Speaker 1: and I'm gonna be taking a look at the media

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Speaker 1: and political reaction to what's been going on in Cuba.

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Speaker 1: We've got David Suradon. He actually has two phenomenal stories,

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Speaker 1: really important, one about corruption Susan Rice, another one about

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Speaker 1: the way that workers through pension funds are basically being

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Speaker 1: forced to fund the war on themselves. We'll have him

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Speaker 1: break all of that down. But we wanted to start

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Speaker 1: with not just what's going on in Cuba, but a

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Speaker 1: lot of protests cropping up all around the world, some

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Speaker 1: of which the media likes to cover, some of which

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Speaker 1: the media doesn't like to cover. We wanted to give

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Speaker 1: you a more sort of fullsome picture of what's happening

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Speaker 1: on the globe right now because it could pretend a

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Speaker 1: broader trend as the coronavirus pandemic continues in a lot

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Speaker 1: of places, as the temperatures literally rise in a lot

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Speaker 1: of places, of more and more global unrest. So we

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Speaker 1: do want to start with Cuba, which of course captured

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Speaker 1: a lot of attention this week as very rare anti

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Speaker 1: government protests took to the streets. Let's take a look

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Speaker 1: at a little bit of what that was like this week.

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Speaker 1: Thousands of Cubans on Sunday took to the street. It's

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Speaker 1: over a worsening economy, a display of civil unrest rarely

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Speaker 1: seen in the communist rule to island nation. Demonstrators in

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Speaker 1: the capital city Havana chanted freedom amid heavy police presence.

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Speaker 1: Many called for better access to vaccines, while others blamed

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Speaker 1: the government for daily blackouts. One protester said he was

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Speaker 1: struggling to make ends meet in an economy plagued by

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Speaker 1: sanctions and the global health crisis. So journalists are saying

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Speaker 1: they haven't seen protests of this size in Cuba in decades.

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Speaker 1: You know, some of the things that they mentioned their

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Speaker 1: food shortages, medical shortages, just basic supply shortages, a lot

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Speaker 1: of economic pressure. Coronavirus cases continued to spike. Of course,

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Speaker 1: you can't talk about any of that without also talking

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Speaker 1: about the now six sixty year long US embargo. Trump

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Speaker 1: actually amped up the level of the blockade to make

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Speaker 1: it even more stringent, even more intense. The Biden administration

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Speaker 1: has kept all of those restrictions in place in spite

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Speaker 1: of the fact that the country, like the rest of

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Speaker 1: the world, is suffering under the pandemic. So that's sort

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Speaker 1: of the backdrop of what's going on in Cuba. Yeah,

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Speaker 1: it's a really weird situation because what happened is is

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Speaker 1: that Obama slackened some of the blockade, urged Congress to

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Speaker 1: undo the embargo, which Congress people should understand is what

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Speaker 1: is officially enacted, the Cuban embargo, and that is one

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Speaker 1: of the reasons why, given the narrow margins and the

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Speaker 1: Florida delegation, it probably will never ever be lifted. Then

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Speaker 1: Trump came in reversed the policy. Biden is essentially stuck

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Speaker 1: to that policy, even though he's verbally said that he

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Speaker 1: agrees with the Obama policy. So it's a strange thing.

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Speaker 1: Cuban relations have really just been a wild ride since

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Speaker 1: I think like twenty fourteen under Obama. It was one

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Speaker 1: of the things that actually spurred some of the Republican

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Speaker 1: votes down in Florida in twenty sixteen and again in

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Speaker 1: twenty twenty, which people shouldn't underestimate just how large and

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Speaker 1: just how large that constituency is and how passionately they feel.

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Speaker 1: So it's an interesting situation. But you're right, which is that. Look,

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Speaker 1: we've heard from people, you know, who are like, oh,

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Speaker 1: you guys in cover Cuba. Of course we're going to

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Speaker 1: cover Cuba. And the reason why, though, is that we

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Speaker 1: need to put it in the context of the media

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Speaker 1: is saying it's just about Cuba, and look, you know,

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Speaker 1: all God blessed Cuban people like certainly have suffered. There

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Speaker 1: are a lot of people who were cracked down on yesterday,

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Speaker 1: But as we pointed out, there's a lot going on

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Speaker 1: in the rest of the world, and South Africa is

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Speaker 1: actually also in the midst of some pretty horrific violence,

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Speaker 1: which we have a little bit of video from. Let's

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Speaker 1: take a listen and just take a look at what

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Speaker 1: it looks like there at the moment. What we are

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Speaker 1: watching is a shop. We are watching people are walking

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Speaker 1: out with things like fridges fit I mean bredan. You're

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Speaker 1: walking up with furniture now, so it has gone from

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Speaker 1: food to coming to furniture. There's a shop that they're

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Speaker 1: trying to hit at the moment, we understand it's food lovers.

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Speaker 1: They're also coming out of the Breton. The whole male

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Speaker 1: has been looted, so you can see they're they're been

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Speaker 1: really pretty violent riots, protests, looting. This was all sparked

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Speaker 1: by former President Jacob Zuma being imprisoned for well not

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Speaker 1: directly for corruption, for refusing to appear in that corruption trial.

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Speaker 1: And the reason that sparked this sort of protests and

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Speaker 1: riots and looting and whatever else is going on in

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Speaker 1: the streets there is because he was the first Zulu

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Speaker 1: president and so the Zulu people feel that this was

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Speaker 1: a political witch hunt. You know, all indicators were that

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Speaker 1: he was genuinely white corrupt when he was in office.

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Speaker 1: So but you know, you should you should also with

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Speaker 1: all of these things, always take a little bit of

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Speaker 1: a look underneath the surface. And I'm don't claim to

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Speaker 1: be a South Africa expert here, but if you look

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Speaker 1: at the inequality within that country. Of course, famously you

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Speaker 1: know white black inequality, massive, massive gulf but even within

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Speaker 1: the different black ethnic groups, Zulus tend to be at

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Speaker 1: the lower end of the income scale. So even within

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Speaker 1: you know, a relatively impoverished group, they tend to be

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Speaker 1: at the bottom of that pyramid. So a lot of

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Speaker 1: pressure there, a lot of strife, and all of this

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Speaker 1: is in the context of, yeah, what's happening in Cuba

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Speaker 1: is important and we want to focus on that. We've

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Speaker 1: also talked about, you know, the protests that have been

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Speaker 1: unfolding in Haiti even before Moiz was killed. But there's

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Speaker 1: a trend across the globe that goes a lot further

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Speaker 1: than just the countries that the media wants to pay

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Speaker 1: attention to. So this is not going to be a

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Speaker 1: comprehensive list, but we wanted to give you a little

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Speaker 1: bit of a flavor of that. So in addition to

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Speaker 1: South Africa, there's a full on civil war going on

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Speaker 1: in Ethiopia that we have heard precious little about. This

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Speaker 1: is a crazy, crazy story. So the guy who's in

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Speaker 1: charge there, who was given a Nobel Peace Prize by

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Speaker 1: the global community, then almost immediately after receiving the global

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Speaker 1: the Nobel Peace Prize, turns around and starts what's essentially

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Speaker 1: an ethnic cleansing of the t Graye people. That's one

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Speaker 1: of the ethnic groups in Ethiopia. Long standing tensions here

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Speaker 1: because the Tigrains. For a long time, even though they're

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Speaker 1: a minority ethnic faction, they essentially ruled Ethiopia until this

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Speaker 1: latest president came into power. So there's been an ongoing

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Speaker 1: civil war there. The New York Times I actually recommend

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Speaker 1: you go and read this article that gives some of

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Speaker 1: the background but also shows how the Tigrains are fighting

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Speaker 1: back and actually winning against the government forces. The government

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Speaker 1: forces are aligned with the Eritrean, their neighbors who they

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Speaker 1: long time were at war with. That's actually what won

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Speaker 1: the Stude the Nobel prize was for coming to this

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Speaker 1: peace deal with Riitry and then turning around and align

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Speaker 1: with them to conduct this ethnic cleansing. So you know,

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Speaker 1: this is a full scale civil war, ethnic cleansing, all

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Speaker 1: kinds of atrocities taking place and precious little media coverage

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Speaker 1: of what's going on. Yeah, it is, and actually I've

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Speaker 1: heard a little bit about it. We have one of

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Speaker 1: the largest Ethiopian popular outside of Ethiopia here in Washington,

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Speaker 1: and so you know, heard a little bit about some

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Speaker 1: of the stuff that's going on. There have been protests

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Speaker 1: here in DC that I've seen, Yeah, exactly, I've seen

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Speaker 1: them on the street. That was why because I was like, hey,

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Speaker 1: what's going on and they were like, hey man, there's

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Speaker 1: a whole civil war. And I was like, wow, this

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Speaker 1: is crazy. And it's funny that in that context, so

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Speaker 1: Agsong I forget her name, I'm Suki, I believe the

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Speaker 1: me and mar Leader Obama and now this person all

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Speaker 1: three Nobel Peace Prize winners who went on to UH

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Speaker 1: to kill people afterwards, which I do think is kind

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Speaker 1: of fascinating, and when you think about it in that context,

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Speaker 1: it just demonstrates how facile. So much of this is like, oh,

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Speaker 1: you brokeered a agreement here, and you know, we don't

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Speaker 1: want to you know, we don't go after it too much.

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Speaker 1: But there's very very little follow up. There's very little

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Speaker 1: actual coverage and context that people especially here in DC,

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Speaker 1: are willing to put that into and if anything, it

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Speaker 1: just makes me. I think it makes us both upset

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Speaker 1: in that selective coverage over specific types of protests cheapens

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Speaker 1: the response because Washington will mobilize to one and like

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Speaker 1: we're saying, look like nobody is saying that what's happening

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Speaker 1: in Cuba is not important. They don't wish the people

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Speaker 1: in Cuba the best, all of that, but it makes

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Speaker 1: it so that it can trigger, you know, the Washington

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Speaker 1: machinery of or type of response, and that's not necessarily

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Speaker 1: a good thing. I mean, let's consider a long history

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Speaker 1: of American policy, particularly in Cuba. And I am not

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Speaker 1: one of these Howard Zinn leftists, Okay, I'm saying like, look,

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Speaker 1: this is not a good legacy in terms of what's

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Speaker 1: happened in that country in our own policy, and over

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Speaker 1: a long period of time, probably backfired more than anything. Yeah,

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Speaker 1: pretty much anything that anything, but he's tried to do

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Speaker 1: and probably bolstered the cast Or regime if you really

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Speaker 1: want to think about it. Well, that's the thing is,

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Speaker 1: you know, people rightly point out that they make excuses

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Speaker 1: in Cuba. They point to the Americans all to do

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Speaker 1: over everything, and you by continuing that embargo, you're giving

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Speaker 1: them excuse to cover for their own domestic families. I mean,

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Speaker 1: we've been doing this for sixty years now, people, you've

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Speaker 1: been thinking it's been going to work for that long.

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Speaker 1: So if you actually care about the misering and the

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Speaker 1: suffering of the Cuban people, there is a thing you

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Speaker 1: can directly do right now, which is to lift the

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Speaker 1: blockade and take another course with regards to Cuba if

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Speaker 1: you actually care about the suffering of the people there.

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Speaker 1: But it's all very selective. I'm going to talk about

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Speaker 1: this more in my monologue. You know, the only protests

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Speaker 1: or human suffering that plenty of democrats, but you know,

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Speaker 1: off like sort of uniformly people on the right seem

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Speaker 1: to care about are in like Cuba, Venezuela, and China.

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Speaker 1: Rest of the world we don't care so much about.

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Speaker 1: Especially if it's protests against a government that happens to

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Speaker 1: be right wing, we don't hear anything about those protests,

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Speaker 1: or liberation struggles or freedom struggles, or police brutality, we

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Speaker 1: don't hear anything about that. So one of the things

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Speaker 1: that we talk about here is number one, with the

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Speaker 1: media chooses to show you when our politicians choose to

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Speaker 1: fixate on is important, and even when they're being accurately portrayed,

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Speaker 1: which you know, I wouldn't say that the Cuban struggle

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Speaker 1: has been completely accurately portrayed. But even when they're being

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Speaker 1: accurately portrayed, the fact that you have this narrow lens

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Speaker 1: leaves out a bigger picture of what's going on all

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Speaker 1: around the globe. And number two, you don't get to

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Speaker 1: pick and choose like your principles when they're convenient. You

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Speaker 1: don't get to be against foreign interventions except when it's

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Speaker 1: this one regime that ideologically suits my interest to have

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Speaker 1: them overthrown. You don't get to say, like, I don't

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Speaker 1: really care about these humanitarian struggles going on, except when

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Speaker 1: it gives you this like I hate socialism talking point

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Speaker 1: that's convenient for your cable news hits. And that's what

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Speaker 1: we see a lot of the political class doing, and

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Speaker 1: that's what we see a lot of the media doing.

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Speaker 1: I do think that this trend, though that's happening around

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Speaker 1: the world of a lot of unrest is something that

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Speaker 1: we are likely to see continue. So we just talked

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Speaker 1: about Ethiopia, we also have in Columbia, there have been

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Speaker 1: months long protests, again a right wing government there. The

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Speaker 1: thing that initially sparked this was a tax reform package

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Speaker 1: that was seen as exacerbating the burden on poor and

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Speaker 1: middle class families. It's really expanded though, to be a

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Speaker 1: sort of broader critique. There's been huge state sponsored violence,

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Speaker 1: police brutality, and crackdowns, again something you haven't heard about,

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Speaker 1: even as there's a lot of concern, rightly and justifiably

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Speaker 1: about the crackdowns that are happening in Cuba. So this

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Speaker 1: has really expanded to focus on the inequality in Columbia.

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Speaker 1: Writ large desires for better healthcare, desires for a more

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Speaker 1: just society, pushback against police brutality. All of that has

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Speaker 1: sort of come to be encompassed in these protests that

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Speaker 1: again have been going on for months that you probably

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Speaker 1: have heard very very little about. No, you're right, and

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Speaker 1: I think this is why it's important that we've tried

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Speaker 1: to cover it in a measured way. And you know,

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Speaker 1: I see the same thing like all these leftists like,

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Speaker 1: oh no, there's no leaguer genocide you know going on

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Speaker 1: in China. Actually, Maduro is the greatest president who's ever

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Speaker 1: lived in Venezuela. Oh, but in Cuba they have a Listen,

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Speaker 1: let's all just be honest about what is happening everywhere.

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Speaker 1: If we can start from that place, okay, then we'll

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Speaker 1: figure it out. You can acknowledge we Ur genocide without

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Speaker 1: saying that you want to invade China. You can say

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Speaker 1: that Maduro is a bad guy without saying that also,

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Speaker 1: this weird effort failed coup Guido thing is a total failure.

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Speaker 1: You could say what's happening in Columbia seems bad and

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Speaker 1: that yeah, we've supported that government for a long time.

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Speaker 1: And you can also say, hey, what's going on in

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Speaker 1: Cuba is also bad, but hey, given our history of

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Speaker 1: intervention in the country, we probably shouldn't do anything about

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Speaker 1: it and let the Cuban people decide their own fate.

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Speaker 1: And it's the same thing whenever it comes to Haiti.

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Speaker 1: It's just amazing to me watching people whitewash and twist narratives.

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Speaker 1: And you know, you always talk about this, who are

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Speaker 1: the people who actually suffer the people in Cuba, the

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Speaker 1: people in Haiti, the Wigurs, people in Venezuela. More nobody

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Speaker 1: cares about them. They become these like political footballs here

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Speaker 1: in DC, which is that, oh, you know, these people

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Speaker 1: get weaponized and then it becomes like a political talking

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Speaker 1: point and then you know, everybody on YouTube is apparently

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Speaker 1: an expert in Weiger camp genocide and all this, and

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Speaker 1: it's just disgusting. I've met people there, I've met here

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Speaker 1: in Washington whose relatives are thrown in camps and are

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Speaker 1: forced to FaceTime them while the Chinese police are sitting

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Speaker 1: there with a gun in to their mom's head saying

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Speaker 1: you better tell them everything is okay and they better

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Speaker 1: shut up or you're going to go back to the camp. Okay,

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Speaker 1: you know, go ahead and tell me that that's fake.

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Speaker 1: And once again, though you can acknowledge these things without

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Speaker 1: saying that the United States should, you know, put the

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Speaker 1: full front of the US military or our state department.

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Speaker 1: You just be like, yeah, that seems really bad. We

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Speaker 1: should talk about it. We should. You know, there are

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Speaker 1: different levers of policy or whatever on the outside, like hey,

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Speaker 1: let's not buy slave cotton. I mean that seems pretty reasonable.

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Speaker 1: He to me, maybe the blockade, maybe that hasn't worked.

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Speaker 1: Maybe exactly where they're emiserating the Cuban people and isn't

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Speaker 1: actually getting us anywhere in terms of if your goal

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Speaker 1: is regime change, guys, it doesn't work so far, So

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Speaker 1: maybe take a different tack, right. I mean, it's the

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Speaker 1: level of consistency here. You can acknowledge what is happening,

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Speaker 1: and you can also say that, you know, we should

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Speaker 1: not use the full force of our power of our

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Speaker 1: country in order to quote unquote do something about it, right,

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Speaker 1: And it's just that level of discourse seems impossible apparently

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Speaker 1: in politics, because if you look throughout history, and Haiti

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Speaker 1: is a perfect example of this. You know, I've been

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Speaker 1: digging deep into to Haitian history to learn as much

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Speaker 1: as I possibly can about that country and what led

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Speaker 1: to the crisis that they're facing right now, another country

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Speaker 1: where protests have been going on for months against the

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Speaker 1: corrupt government of jouv Now Mauise, who of course was

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Speaker 1: just assassinated. Maise had been backed by the US government.

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Speaker 1: We're going to get to Lebanon here in just a second.

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Speaker 1: But Moise had been backed by the US government in

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Speaker 1: his just decision to hey, I'm going to stay in

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Speaker 1: office for an extra year and I'm going to rule

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Speaker 1: by decree. US government backed him, and so we haven't

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Speaker 1: heard anything about those protests that had been going on

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Speaker 1: for months and the violence that had been occurring on

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Speaker 1: the streets there is gangs have really taken over, you know,

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Speaker 1: the streets of Porter Prints in particular. And one of

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Speaker 1: the arguments I heard yesterday for why so much attention

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Speaker 1: on Cuba but not these other places is well, Cuba's closer. Well,

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Speaker 1: Haiti's also pretty close, Guys, Hayes pretty close. So maybe

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Speaker 1: cub was a little bit closer, but Haiti's right there

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Speaker 1: next door too. So if you're thinking like, oh, it's

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Speaker 1: right next door and we could have a refugee cry,

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Speaker 1: we could have, you know, a direct impact on Florida

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Speaker 1: the rest of the nation, you should also be caring

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Speaker 1: about Haiti in that regard as well. The last one

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Speaker 1: we wanted to bring up here, and again this is

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Speaker 1: not a comprehensive list. We just wanted to give you

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Speaker 1: a sense of how much unrest there really is in

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Speaker 1: the world right now that I'm all with different root

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Speaker 1: causes and reasons and specifics to that locality in that

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Speaker 1: nation and what the people there are struggling with. But

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Speaker 1: I do think there's a connective tissue here when you

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Speaker 1: see these trends unfold, you have to say, what's going on.

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Speaker 1: You've got a pandemic that's been keeping people locked up

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Speaker 1: and frustrated and unemployed. You've got in a lot of places,

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Speaker 1: failure to be able to get vaccines, a failure to

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Speaker 1: be able to distribute vaccine. Something by the way, the

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Speaker 1: US could do a hell of a lot about, but

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Speaker 1: we have yet, as of yet, not taken a full

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Speaker 1: leadership role in terms of making sure that these places

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Speaker 1: can get the vaccines that they need. And also we

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Speaker 1: should keep in mind that there is a direct correlation

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Speaker 1: that has been studied for a long time between higher

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Speaker 1: temperatures and more violence, like down to the degree the hot,

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Speaker 1: hotter it is, the more likely you are to have violence,

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Speaker 1: not just here around the world. So as we're seeing

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Speaker 1: these record breaking temperatures that are truly terrifying around the globe,

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Speaker 1: not surprising that that is helping to fuel some of

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Speaker 1: this unrest as well. So last one we wanted to

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Speaker 1: bring to you here is Lebanon is virtually on the

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Speaker 1: brink of collapse. They have had an economic crisis that's

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Speaker 1: left seventy percent of the population in poverty, Shortages of fuel,

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Speaker 1: and medicine and food. Time says they're suffering through a

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Speaker 1: financial crisis that the World Bank has said could rank

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Speaker 1: among the world's three worst since the mid eighteen hundreds

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Speaker 1: in terms of its effect on living standards. The currency

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Speaker 1: in Lebanon has lost more than ninety percent of its

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Speaker 1: value since the fall of twenty nineteen. Unemployment has skyrocketed,

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Speaker 1: businesses have shut down and coorted goods that were once

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Speaker 1: commonplace have become scarce. And as a result of all

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Speaker 1: of these pressures, there have been also mass protests in

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Speaker 1: the streets. And you know, this is a really heart

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Speaker 1: a heartbreaking thing, because Lebanon has long been one of

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Speaker 1: the places in the Middle East where you had a

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Speaker 1: true middle class, beautiful country, true middle class. And now

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Speaker 1: you have people, if you read through this article's truly heartbreaking,

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Speaker 1: who are lining up in their Mercedes from when they

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Speaker 1: were prosperous and a food line just to be able

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Speaker 1: to feed their families and be able to survive. You've

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Speaker 1: got business men and women who are having to wait

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Speaker 1: hours and hours just to fuel their cars to save

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Speaker 1: on gas. They've got accounts of people put the car

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Speaker 1: in neutral and push it while they're waiting in the

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Speaker 1: gas line. I mean, things are incredibly desperate there and

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Speaker 1: once again, precious little said about it here, even as

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Speaker 1: these protests and a political crisis is unclear you know

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Speaker 1: where who's who's going to end up in charge in

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Speaker 1: that country? Is massive political crisis, massive economic crisis, financial crisis,

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Speaker 1: and very very little focus. I haven't seen a single

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Speaker 1: cable news segment, certainly about what's going on there in Lebanon.

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Speaker 1: I really had to dig to find out some details

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Speaker 1: from the New York Times about the facts. No, that's right,

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Speaker 1: and I know, I guess the one positive thing I'll

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Speaker 1: say about this, every one of these countries are discussing

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Speaker 1: has incredible food. If you think about it. Lebanon hate Theopia,

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Speaker 1: Haiti have a Cuba not a fan of Avian really,

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Speaker 1: Oh god, she's missing out man. That gray bread stuff,

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Speaker 1: love it? And what's that spice of berbery or something?

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Speaker 1: See I like the spicy food. So shout out to

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Speaker 1: all of you, Thank you for all for creating this

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Speaker 1: incredible gene. If there is a real takeaway here, it's that, look,

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Speaker 1: there's a lot of chaos that's around the globe, and

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Speaker 1: if you look actually deeper in almost every single one

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Speaker 1: of these deep economic inequality, authoritarianism combined with horrific class

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Speaker 1: dynamics is basically at the story of all of it.

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Speaker 1: That's right. Lebanon has always been a deeply class stratified society.

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Speaker 1: They've been in turmoil for twenty years. Ethiopia is the

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Speaker 1: same way whenever it comes to tribalism South Africa. I

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Speaker 1: mean that needs no introduction in terms of how long

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Speaker 1: the history and turmoil there. Cuba, same thing, you've got

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Speaker 1: the communist elete and then you've got everybody else is

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00:21:35,240 --> 00:21:38,280
Speaker 1: also a deep racial element in terms of their society.

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Speaker 1: And then same thing whenever it comes to Haiti in

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Speaker 1: terms of tribalism, and you know the sorting of the

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Speaker 1: class elite, right, the small lead that owns ninety nine

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Speaker 1: percent of stuff, very common in third world countries and

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Speaker 1: a huge, huge driver actually of a lot of protests

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Speaker 1: around the globe. So I think that that's a thread

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Speaker 1: that really unites things. I was looking South Africa's unemployment

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Speaker 1: rate is that's incomprehensible I think to a lot of people,

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Speaker 1: and that's overall, and if you look at the Zulu people,

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Speaker 1: it's going to be double that likely double that and

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Speaker 1: I think that the way you phrase that is really important,

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Speaker 1: because if you just focus on one of these countries,

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Speaker 1: you may get a misleading picture. If you're just focused

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Speaker 1: on Cuba, you may take away that you know, communism

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Speaker 1: is bad and Marxism is bad, and that's what's leading

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Speaker 1: to these protests. If you just look at Columbia, you

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Speaker 1: might just say this right wing government is bad. And

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Speaker 1: there are those specific elements that are important to look

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Speaker 1: at that are significant to each individual context. But we

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Speaker 1: also have to see the trend that's happening around the

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Speaker 1: globe and brace ourselves that this is probably going to

430
00:22:44,320 --> 00:22:47,320
Speaker 1: be another year of a lot of unrest, of a

431
00:22:47,359 --> 00:22:50,880
Speaker 1: lot of people pushing and fighting for more of scarcity

432
00:22:51,160 --> 00:22:54,280
Speaker 1: of you know, breadlines and fuel lines and all of that.

433
00:22:54,800 --> 00:22:57,080
Speaker 1: And you know, we don't want to take our eye

434
00:22:57,160 --> 00:23:00,679
Speaker 1: off the ball of these struggles happening all around the globe.

435
00:23:00,720 --> 00:23:08,240
Speaker 1: Absolutely new developments in Haiti and this is crazy. So okay,

436
00:23:09,000 --> 00:23:12,960
Speaker 1: as you guys know, Haitian President Jovna Muiz was assassinated

437
00:23:13,240 --> 00:23:16,800
Speaker 1: and obviously a lot of questions about who and what

438
00:23:17,080 --> 00:23:19,359
Speaker 1: and why, and we still don't have a lot of

439
00:23:19,400 --> 00:23:22,879
Speaker 1: answers here. So first thing, we learned we saw some

440
00:23:22,920 --> 00:23:27,400
Speaker 1: of those videos. We saw that his own security really

441
00:23:27,440 --> 00:23:29,200
Speaker 1: didn't seem to put up much of a fight. That's

442
00:23:29,200 --> 00:23:31,560
Speaker 1: still very much a question mark of why that would

443
00:23:31,560 --> 00:23:35,600
Speaker 1: be the case. We learned that there was a Miami

444
00:23:35,720 --> 00:23:40,960
Speaker 1: area security firm run by a Venezuelan immigrant that appears

445
00:23:41,080 --> 00:23:43,119
Speaker 1: to have and some of this is, according to the

446
00:23:43,119 --> 00:23:45,280
Speaker 1: Haitian government, take with a great assault, but appears to

447
00:23:45,320 --> 00:23:49,320
Speaker 1: have hired a lot of ex military Colombians and also

448
00:23:49,600 --> 00:23:52,280
Speaker 1: a couple of Haitian Americans who claim they served as

449
00:23:52,320 --> 00:23:56,919
Speaker 1: translators to actually serve as mercenaries and carry out that plot.

450
00:23:57,200 --> 00:24:01,120
Speaker 1: Then yesterday, as I brought to you, the Haitian government

451
00:24:01,600 --> 00:24:06,760
Speaker 1: is pointing the finger at this Florida Haitian, a Haitian

452
00:24:06,800 --> 00:24:11,159
Speaker 1: born Florida doctor so Haitian but lives in Florida and

453
00:24:11,240 --> 00:24:13,760
Speaker 1: says he's a doctor, although there's some questions about whether

454
00:24:13,760 --> 00:24:17,240
Speaker 1: he's actually has a medical license in the US. Appears

455
00:24:17,240 --> 00:24:20,400
Speaker 1: to have filed for bankruptcy. There's more and more sort

456
00:24:20,400 --> 00:24:24,119
Speaker 1: of sketchiness about who this guy is and what he

457
00:24:24,200 --> 00:24:27,119
Speaker 1: exactly was planning. But what the Haitian government, the Haitian

458
00:24:27,119 --> 00:24:29,800
Speaker 1: police chief is saying is that he wanted to have

459
00:24:29,920 --> 00:24:33,360
Speaker 1: himself installed as president. How was that going to work?

460
00:24:33,600 --> 00:24:35,040
Speaker 1: How did he think that was going to work? I

461
00:24:35,040 --> 00:24:37,240
Speaker 1: don't know. Given the history, I guess it kind of

462
00:24:37,280 --> 00:24:40,760
Speaker 1: makes sense. But they're saying, Okay, he hired these mercenaries.

463
00:24:40,880 --> 00:24:43,520
Speaker 1: Another question is they were very highly paid. How did

464
00:24:43,560 --> 00:24:45,840
Speaker 1: he afford that when he does declared bankruptcy. So the

465
00:24:45,920 --> 00:24:48,800
Speaker 1: story is he hired these mercenaries, wanted to install himself

466
00:24:48,840 --> 00:24:51,800
Speaker 1: as president, they assassinate Moies. I don't know what they

467
00:24:51,840 --> 00:24:53,959
Speaker 1: thought was going to happen next, but that's the story

468
00:24:54,000 --> 00:24:58,080
Speaker 1: that we've been that we learned yesterday. So the latest information,

469
00:24:58,280 --> 00:25:00,840
Speaker 1: according to CNN throw this tears eat up on the screen,

470
00:25:02,080 --> 00:25:05,440
Speaker 1: is that some of those involved in this assassination plot

471
00:25:05,920 --> 00:25:12,439
Speaker 1: were previously US law enforcement informants. The DEA on the

472
00:25:12,560 --> 00:25:17,760
Speaker 1: record said that they were aware that, yes, some of

473
00:25:17,800 --> 00:25:21,760
Speaker 1: the assailants, some of the assassins here had served as

474
00:25:21,880 --> 00:25:26,600
Speaker 1: informants from them. One in particular, who apparently after this

475
00:25:27,200 --> 00:25:30,959
Speaker 1: assassination went down, called into the DEA to be like,

476
00:25:31,240 --> 00:25:33,520
Speaker 1: what do I do now, guys, and they were you know, hey,

477
00:25:33,560 --> 00:25:37,560
Speaker 1: go turn yourself into the authorities. There were also I too,

478
00:25:37,720 --> 00:25:43,040
Speaker 1: They're also, according to CNN, were confidential informants for the

479
00:25:43,119 --> 00:25:48,320
Speaker 1: FBI involved here as well. We know the most about

480
00:25:48,359 --> 00:25:51,360
Speaker 1: the DEA informant guy, and there's some new reporting from

481
00:25:51,359 --> 00:25:54,520
Speaker 1: the Miami Herald that they've been really at the bleeding

482
00:25:54,600 --> 00:25:56,399
Speaker 1: edge of the reporting with regards to what's going on

483
00:25:56,440 --> 00:26:00,560
Speaker 1: in Haiti right now. Some reports that this DEA informant

484
00:26:00,560 --> 00:26:05,080
Speaker 1: had been involved in some really large and significant operations

485
00:26:05,480 --> 00:26:09,720
Speaker 1: with regards to Haitian drug traffickers, a guy named Guy

486
00:26:09,760 --> 00:26:13,200
Speaker 1: Philippe in particular, this informant was involved in helping to

487
00:26:13,240 --> 00:26:16,040
Speaker 1: bring him down. That dude had actually just been elected

488
00:26:16,040 --> 00:26:18,800
Speaker 1: to the Senate and they got him just a few

489
00:26:18,880 --> 00:26:20,640
Speaker 1: days before he was going to be sworn in, because

490
00:26:20,680 --> 00:26:22,439
Speaker 1: if he had been sworn in then he would be

491
00:26:22,520 --> 00:26:27,960
Speaker 1: immune from prosecution. So so anyway, this person is involved,

492
00:26:28,000 --> 00:26:30,600
Speaker 1: and then we don't know anything about the FBI informant

493
00:26:30,680 --> 00:26:37,200
Speaker 1: or informants who were apparently also involved. But very strange

494
00:26:37,480 --> 00:26:40,360
Speaker 1: turn of events that these are the types of people

495
00:26:40,440 --> 00:26:43,360
Speaker 1: who were involved, who had been working with our government,

496
00:26:43,920 --> 00:26:47,800
Speaker 1: and now we're involved reportedly in the murder of the

497
00:26:47,920 --> 00:26:53,320
Speaker 1: Haitian president. So that's where we are right now. You'll

498
00:26:53,320 --> 00:26:56,320
Speaker 1: recall part of why this is significant is we played

499
00:26:56,359 --> 00:26:59,000
Speaker 1: for you the first day we covered this story some

500
00:26:59,040 --> 00:27:02,800
Speaker 1: of the videos from the scene that were immediately perplexing,

501
00:27:03,160 --> 00:27:07,600
Speaker 1: where you have people with American accented English saying that

502
00:27:07,680 --> 00:27:12,399
Speaker 1: they're DEA agents as they're going into the president's home

503
00:27:12,840 --> 00:27:15,840
Speaker 1: to murder him. Let's take a listen to that video

504
00:27:16,000 --> 00:27:28,560
Speaker 1: again so we can recall what that was like. No,

505
00:27:33,720 --> 00:27:36,919
Speaker 1: so obviously the DEA says they had anything else to

506
00:27:36,960 --> 00:27:39,480
Speaker 1: do with us. This was going down. Some of them

507
00:27:39,480 --> 00:27:42,280
Speaker 1: may have been informants for us previously. This was definitely

508
00:27:42,280 --> 00:27:45,240
Speaker 1: not on our behalf. But that video was the first

509
00:27:45,240 --> 00:27:47,679
Speaker 1: thing that we were like, this is really weird. This

510
00:27:47,720 --> 00:27:50,280
Speaker 1: What makes sense though, the fact that they might have

511
00:27:50,359 --> 00:27:52,879
Speaker 1: made it sound really legit is because maybe one of

512
00:27:52,920 --> 00:27:55,840
Speaker 1: them were informants, right, So maybe they've been on raids

513
00:27:56,040 --> 00:27:58,520
Speaker 1: so they knew how to do a protocol. And as

514
00:27:58,560 --> 00:28:01,680
Speaker 1: you talked about, they're actually DEA raids in Haiti all

515
00:28:01,760 --> 00:28:04,800
Speaker 1: the time, and so if they could replicate what it

516
00:28:04,800 --> 00:28:08,040
Speaker 1: would look like if they had previously worked with the DEA,

517
00:28:08,160 --> 00:28:09,959
Speaker 1: it would make a lot of sense. Yeah, there's a

518
00:28:10,080 --> 00:28:12,760
Speaker 1: whole lot going on here, and so it all comes

519
00:28:12,800 --> 00:28:17,040
Speaker 1: back to there's these Colombian suspects who were actually killed

520
00:28:17,080 --> 00:28:20,280
Speaker 1: by police, who had links to a security firm which

521
00:28:20,320 --> 00:28:22,879
Speaker 1: is based in Florida but is owned by a Venezuela

522
00:28:23,040 --> 00:28:26,919
Speaker 1: national who was hired by this Haitian doctor who didn't

523
00:28:26,920 --> 00:28:30,560
Speaker 1: have his money, who was also working in Florida, who

524
00:28:30,720 --> 00:28:34,360
Speaker 1: wanted to be president of Haiti. And yeah, that's kind

525
00:28:34,359 --> 00:28:36,040
Speaker 1: of the clearest picture that we have. Oh and some

526
00:28:36,080 --> 00:28:39,280
Speaker 1: of the people involved were US government informants so much so,

527
00:28:39,960 --> 00:28:42,760
Speaker 1: I mean considered informants of the highest level who were

528
00:28:42,800 --> 00:28:47,200
Speaker 1: involved in some high profile operations. So I don't know

529
00:28:47,960 --> 00:28:51,080
Speaker 1: about this whole thing. There's a lot going on here.

530
00:28:51,080 --> 00:28:53,560
Speaker 1: It seems like that Netflix movie I once watched about

531
00:28:53,560 --> 00:28:56,200
Speaker 1: a Russian guy who stole or wanted to buy a

532
00:28:56,320 --> 00:29:00,360
Speaker 1: submarine and sell it to the Colombian drug cartels. Seems

533
00:29:00,400 --> 00:29:02,960
Speaker 1: to prop very likely. What is all this? It's an

534
00:29:03,000 --> 00:29:08,960
Speaker 1: intersection of drug trafficking, political corruption, the DEA, which has

535
00:29:08,960 --> 00:29:11,720
Speaker 1: his hands all over you know, all all all of

536
00:29:11,760 --> 00:29:16,080
Speaker 1: these things, see and just really screwed up country in Haiti.

537
00:29:16,200 --> 00:29:18,280
Speaker 1: I think if you put all that together you get

538
00:29:18,280 --> 00:29:22,760
Speaker 1: some wild plot like this one. Whether there's a conspiracy maybe,

539
00:29:22,840 --> 00:29:25,520
Speaker 1: I mean, it's certainly possible, but we don't have any

540
00:29:25,560 --> 00:29:28,720
Speaker 1: evidence at least to suggest that yet. One thing we

541
00:29:28,760 --> 00:29:33,000
Speaker 1: do know, obviously is that even as Moe's was reportedly

542
00:29:33,240 --> 00:29:38,840
Speaker 1: incredibly corrupt and was for sure this part is definitely true,

543
00:29:39,080 --> 00:29:44,160
Speaker 1: ruling by decree, had effectively decided casually to overstay his term,

544
00:29:44,360 --> 00:29:46,840
Speaker 1: something again that the US government for some reason decided

545
00:29:46,880 --> 00:29:51,320
Speaker 1: that they would support. There is a massive political and

546
00:29:51,400 --> 00:29:55,520
Speaker 1: developing humanitarian crisis in nation that already was really in

547
00:29:55,560 --> 00:29:59,120
Speaker 1: a political and humanitarian crisis, and a violence crisis as well,

548
00:29:59,200 --> 00:30:02,680
Speaker 1: where these the the gangs and these thugs really ruled

549
00:30:02,720 --> 00:30:07,360
Speaker 1: the streets in Porta Prince. The political situation is such that,

550
00:30:07,600 --> 00:30:10,520
Speaker 1: you know, the dude who sees control, and I've explained

551
00:30:10,560 --> 00:30:12,600
Speaker 1: this before, but I think it's important to understand the

552
00:30:12,640 --> 00:30:16,160
Speaker 1: guy who sees control, who was the prime minister Moisa

553
00:30:16,280 --> 00:30:20,640
Speaker 1: just fired him and was planning on bringing into office

554
00:30:20,840 --> 00:30:25,840
Speaker 1: the following week a young neurosurgeon apparently who was politically inexperienced.

555
00:30:26,280 --> 00:30:30,560
Speaker 1: So even the guy who's trying to claim control and

556
00:30:30,720 --> 00:30:33,320
Speaker 1: trying to use some of the US's words to say, look,

557
00:30:33,360 --> 00:30:36,560
Speaker 1: I'm the rightful, you know president now and you got

558
00:30:36,600 --> 00:30:39,040
Speaker 1: to listen to me, and he's the one who asked

559
00:30:39,080 --> 00:30:42,080
Speaker 1: the US for troops to come in, which which by

560
00:30:42,080 --> 00:30:44,120
Speaker 1: the way, the Biden administration has not done yet, but

561
00:30:44,200 --> 00:30:47,160
Speaker 1: also has it ruled out, which again is a terrible idea.

562
00:30:48,480 --> 00:30:51,080
Speaker 1: So there's no it's not clear that this guy is

563
00:30:51,120 --> 00:30:57,560
Speaker 1: the legitimate leader. You have only ten elected members of

564
00:30:57,600 --> 00:31:02,520
Speaker 1: the legislature at all, because Moi's had overstayed his term

565
00:31:02,560 --> 00:31:05,120
Speaker 1: and didn't call for elections, so you only have ten

566
00:31:05,240 --> 00:31:09,960
Speaker 1: legislators writ large, the judiciary, which should be which is

567
00:31:09,960 --> 00:31:14,120
Speaker 1: powerful in the country, and there's also multiple constitutions. Under

568
00:31:14,160 --> 00:31:18,600
Speaker 1: some versions of the constitution, the chief Justice would be

569
00:31:18,640 --> 00:31:21,800
Speaker 1: the rightful successor. Well, first you had a lot of

570
00:31:21,880 --> 00:31:25,440
Speaker 1: judges resign on mass over Moi's overstaying his term, and

571
00:31:25,480 --> 00:31:29,800
Speaker 1: then the Chief Justice died of COVID about just about

572
00:31:29,840 --> 00:31:34,320
Speaker 1: a month ago. So really everywhere you turn, it's question

573
00:31:34,440 --> 00:31:38,240
Speaker 1: marks and disaster and you know, just a complete power

574
00:31:38,360 --> 00:31:43,200
Speaker 1: vacuum in terms of what is going to happen next politically,

575
00:31:43,360 --> 00:31:45,360
Speaker 1: and it's truly heartbreaking. I mean, the people of this

576
00:31:45,440 --> 00:31:48,080
Speaker 1: country don't deserve this. They don't deserve any of it.

577
00:31:49,040 --> 00:31:51,760
Speaker 1: And I was talking to someone who's kind of an

578
00:31:51,800 --> 00:31:55,560
Speaker 1: expert in the country. And obviously, like the drug trafficking

579
00:31:56,160 --> 00:31:58,840
Speaker 1: understandably gets a lot of attention here and es central

580
00:31:58,920 --> 00:32:01,240
Speaker 1: to the gangs and the grift and the corruption all

581
00:32:01,240 --> 00:32:04,120
Speaker 1: of that. But what they were telling me is that

582
00:32:04,400 --> 00:32:09,520
Speaker 1: one of the primary political grifts in Haiti is actually

583
00:32:10,200 --> 00:32:15,320
Speaker 1: to accept bribes from different importers to allow them to

584
00:32:15,360 --> 00:32:18,920
Speaker 1: bring in their goods without paying the import tax. So

585
00:32:18,960 --> 00:32:21,040
Speaker 1: to bring in it's they call it contraband, but it's

586
00:32:21,520 --> 00:32:24,200
Speaker 1: you know, normal good sodas and chips and whatever they

587
00:32:24,200 --> 00:32:26,960
Speaker 1: want to import. And so that's one of the primary grows.

588
00:32:27,040 --> 00:32:31,720
Speaker 1: So when you talk about political power in Haiti, you're

589
00:32:31,720 --> 00:32:34,360
Speaker 1: also talking about a lot of money at stake, and

590
00:32:34,680 --> 00:32:38,920
Speaker 1: that's you know, could be at the center of who

591
00:32:39,040 --> 00:32:43,360
Speaker 1: wanted this power, who was moise at odds with, who

592
00:32:43,440 --> 00:32:45,680
Speaker 1: was hoping to be able to come in and fill

593
00:32:45,720 --> 00:32:48,400
Speaker 1: the vacuum. Those are the sorts of questions that people

594
00:32:48,400 --> 00:32:51,600
Speaker 1: are asking. And again, one big question mark here that

595
00:32:51,680 --> 00:32:57,600
Speaker 1: should be easily resolvable by the surveillance cameras within Moes's

596
00:32:57,640 --> 00:33:01,720
Speaker 1: residence is what happened is his security personnel Not a

597
00:33:01,800 --> 00:33:05,160
Speaker 1: one of them was injured or wounded. There's no appearance

598
00:33:05,160 --> 00:33:07,800
Speaker 1: that they fought or resisted at all. Was the DEA

599
00:33:07,920 --> 00:33:11,000
Speaker 1: ploy really so effective that they just stood down and

600
00:33:11,040 --> 00:33:14,240
Speaker 1: did absolutely nothing, or were they in on it. Some

601
00:33:14,320 --> 00:33:18,760
Speaker 1: of the legislators in Haiti are suggesting in radio interviews

602
00:33:18,960 --> 00:33:22,520
Speaker 1: that perhaps the security personnel themselves were in on the job.

603
00:33:22,640 --> 00:33:25,600
Speaker 1: So that's some of the speculation that's out there. Again.

604
00:33:25,680 --> 00:33:29,560
Speaker 1: The latest reporting is that you have the DEA confirming

605
00:33:29,880 --> 00:33:33,560
Speaker 1: that at least one confidential DEA informant who seems to

606
00:33:33,600 --> 00:33:37,760
Speaker 1: be have been involved in some high level drug trafficking stings.

607
00:33:37,840 --> 00:33:40,960
Speaker 1: That person, you know, was involved in the assassination plot.

608
00:33:41,000 --> 00:33:43,520
Speaker 1: You also have indications there were FBI informants involved. That's

609
00:33:43,520 --> 00:33:46,520
Speaker 1: the very latest we know, and we're definitely going to

610
00:33:46,520 --> 00:33:49,680
Speaker 1: continue to follow it because it is just, first of all,

611
00:33:49,680 --> 00:33:51,600
Speaker 1: it's really important to know what's going to happen in

612
00:33:51,600 --> 00:33:54,760
Speaker 1: that country, and second of all, just a wild story

613
00:33:54,800 --> 00:33:57,960
Speaker 1: to understand who and what and how and why this

614
00:33:58,040 --> 00:34:01,000
Speaker 1: all transpired. Yeah, no, that's exactly where. Hey. So remember

615
00:34:01,000 --> 00:34:04,080
Speaker 1: how we told you how awesome premium membership was, Well,

616
00:34:04,120 --> 00:34:06,280
Speaker 1: here we are again to remind you that becoming a

617
00:34:06,280 --> 00:34:08,960
Speaker 1: premium member means you don't have to listen to our

618
00:34:09,040 --> 00:34:11,840
Speaker 1: constant pleas for you to subscribe, So what are you

619
00:34:11,840 --> 00:34:14,440
Speaker 1: waiting for? Become a Premium member today by going to

620
00:34:14,520 --> 00:34:16,880
Speaker 1: Breakingpoints dot com, which you can click on in the

621
00:34:16,920 --> 00:34:20,480
Speaker 1: show notes and then next to a story deep to

622
00:34:20,640 --> 00:34:23,200
Speaker 1: Deep in my Heart. I have a lot of feelings

623
00:34:23,239 --> 00:34:26,880
Speaker 1: about the Oligarch space race. Everybody knows I love space.

624
00:34:27,440 --> 00:34:30,120
Speaker 1: I've actually just finished a book on Project Mercury, which

625
00:34:30,480 --> 00:34:32,160
Speaker 1: some of you might know about the right stuff and

626
00:34:32,200 --> 00:34:34,520
Speaker 1: more so, I've been thinking a lot about this and

627
00:34:34,840 --> 00:34:37,080
Speaker 1: how to frame it properly. And you know, there was

628
00:34:37,120 --> 00:34:41,240
Speaker 1: a speech yesterday by Richard Bransony recently went up to

629
00:34:41,280 --> 00:34:44,319
Speaker 1: fifty miles, which is the technical edge of space, what

630
00:34:44,360 --> 00:34:47,319
Speaker 1: I call speace, what Crystal calls fake space. I mean,

631
00:34:47,320 --> 00:34:49,239
Speaker 1: it is kind of true because it's not real. So

632
00:34:49,760 --> 00:34:52,239
Speaker 1: unless you can see the ocean blue and you're in

633
00:34:52,520 --> 00:34:54,440
Speaker 1: you know, the blackness, and you can see the International

634
00:34:54,440 --> 00:34:57,200
Speaker 1: Space Station, I personally don't think it counts, but all

635
00:34:57,239 --> 00:34:59,440
Speaker 1: these guys apparently think that it does. If you want

636
00:34:59,480 --> 00:35:01,719
Speaker 1: to experience listeners, you can literally go up to like

637
00:35:01,760 --> 00:35:03,879
Speaker 1: forty thousand feet and just plunge. People have been doing

638
00:35:03,880 --> 00:35:06,879
Speaker 1: it since like nineteen forty five. All that being said,

639
00:35:07,160 --> 00:35:09,120
Speaker 1: let's take a listen to what Richard Branson had to say,

640
00:35:09,160 --> 00:35:11,080
Speaker 1: and we'll talk about it. On the other side. We're

641
00:35:11,080 --> 00:35:15,040
Speaker 1: here to make space more accessible to all and we

642
00:35:15,080 --> 00:35:18,759
Speaker 1: want to turn the next generation of dreamers into the

643
00:35:18,840 --> 00:35:24,880
Speaker 1: astronauts of today and tomorrow. We've all asked in this

644
00:35:25,000 --> 00:35:29,640
Speaker 1: stage that just had the most extraordinary experience, and we'd

645
00:35:29,640 --> 00:35:32,240
Speaker 1: love it if a number of you can have it too.

646
00:35:33,520 --> 00:35:36,600
Speaker 1: And with that in mind, I have some news. So

647
00:35:37,040 --> 00:35:40,080
Speaker 1: today Virgin Glactic is thrilled to announce that we have

648
00:35:40,200 --> 00:35:46,440
Speaker 1: partnered with Amaze to open space for everyone. Okay, so,

649
00:35:46,800 --> 00:35:49,360
Speaker 1: as we were joking, it's space for all who want it,

650
00:35:49,800 --> 00:35:52,560
Speaker 1: for everybody who's rich and all that, but let's what

651
00:35:52,640 --> 00:35:55,000
Speaker 1: the people have been asking for. Just think about it. Well,

652
00:35:55,040 --> 00:35:57,640
Speaker 1: I do think people are mystified by space and people

653
00:35:57,800 --> 00:36:00,960
Speaker 1: are you know, really invested in it whenever it's a

654
00:36:01,080 --> 00:36:03,200
Speaker 1: national project. But part of the problem that we've had,

655
00:36:03,239 --> 00:36:05,759
Speaker 1: and we saw this what happened when Congress tried to

656
00:36:05,760 --> 00:36:08,880
Speaker 1: give that special giveaway to Blue Origin, is that Bezos

657
00:36:08,880 --> 00:36:12,080
Speaker 1: wants money for space. Oh, here's ten billion dollars. But

658
00:36:12,239 --> 00:36:15,160
Speaker 1: if NASA want its money for space, no, no, you're

659
00:36:15,160 --> 00:36:17,359
Speaker 1: gonna have to jump through a lot of hoops, and

660
00:36:17,480 --> 00:36:20,960
Speaker 1: we should really consider like should we be Look, what's

661
00:36:21,000 --> 00:36:24,399
Speaker 1: happened is that Richard Branson and then Blue Origin Musk

662
00:36:24,480 --> 00:36:27,319
Speaker 1: in particular, has actually done something revolutionary. The other two

663
00:36:27,400 --> 00:36:31,239
Speaker 1: are really just like literally recreating projects that we did

664
00:36:31,280 --> 00:36:34,480
Speaker 1: in the nineteen fifties in order to get into space.

665
00:36:34,640 --> 00:36:39,120
Speaker 1: Like we accomplished this already. Uri Gregarin did this in

666
00:36:39,320 --> 00:36:43,600
Speaker 1: nineteen sixty one. Okay, that's how long ago we went

667
00:36:43,719 --> 00:36:47,960
Speaker 1: into fake space or whatever. Alan Shephard went into suborbital

668
00:36:48,040 --> 00:36:51,279
Speaker 1: flight in nineteen sixty two. It's already been done. John F.

669
00:36:51,360 --> 00:36:54,439
Speaker 1: Kennedy was literally president when all this was happening. Why

670
00:36:54,440 --> 00:36:58,440
Speaker 1: are we outsourcing these capacities which we have as humanity

671
00:36:58,520 --> 00:37:01,200
Speaker 1: as Americans to the private sector? I mean, do you

672
00:37:01,280 --> 00:37:05,320
Speaker 1: really want them to have control over If you consider,

673
00:37:05,440 --> 00:37:07,600
Speaker 1: you know, Star Trek and all that space is the

674
00:37:07,640 --> 00:37:10,880
Speaker 1: next frontier, the final frontier. Well, if you think about it,

675
00:37:10,920 --> 00:37:13,520
Speaker 1: why are these billionaires who have specifically come from Silicon

676
00:37:13,600 --> 00:37:15,719
Speaker 1: Valley obsessed with it? Because the way that they made

677
00:37:15,800 --> 00:37:18,600
Speaker 1: billions of dollars is you own the infrastructure of the

678
00:37:18,640 --> 00:37:21,319
Speaker 1: next big thing. Amazon is the infrastructure of the world

679
00:37:21,440 --> 00:37:25,840
Speaker 1: store Elon Musk and the PayPal, the financial infrastructure online.

680
00:37:25,960 --> 00:37:27,759
Speaker 1: Richard Branson is a little bit different in the way

681
00:37:27,880 --> 00:37:30,040
Speaker 1: that it became a billionaire, but the mindset is the same,

682
00:37:30,080 --> 00:37:32,400
Speaker 1: which is that if you want to make billions and

683
00:37:32,440 --> 00:37:35,520
Speaker 1: billions in the future, you want to own the railroads,

684
00:37:35,560 --> 00:37:38,919
Speaker 1: so to speak, of the next infrastructure of what we're at.

685
00:37:39,200 --> 00:37:42,200
Speaker 1: I personally think that should be public. Think about how

686
00:37:42,280 --> 00:37:46,160
Speaker 1: much investment and the semiconductor and all of the technological

687
00:37:46,200 --> 00:37:49,600
Speaker 1: advances that came from Apollo, from the Mercury program, Gemini

688
00:37:49,640 --> 00:37:52,759
Speaker 1: program and all that, and that just seems gone. And

689
00:37:53,000 --> 00:37:55,719
Speaker 1: I thought it was really crystallized in this clip of

690
00:37:55,760 --> 00:37:59,040
Speaker 1: a young reporter on CNN being like, I'm just never

691
00:37:59,120 --> 00:38:03,680
Speaker 1: gonna forget this day. Just just watch this, really absorbed

692
00:38:03,719 --> 00:38:06,280
Speaker 1: that this has just happened, and there was no mishaps

693
00:38:06,280 --> 00:38:08,560
Speaker 1: that we know of from from our perspective. It went

694
00:38:08,600 --> 00:38:11,600
Speaker 1: off without a hitch. And Richard Branson will soon be

695
00:38:11,680 --> 00:38:14,960
Speaker 1: awarded his Astronaut Lambs along with two of his fellow

696
00:38:14,960 --> 00:38:18,120
Speaker 1: mission specialists. I mean, really, it's it's a moment that

697
00:38:18,160 --> 00:38:20,600
Speaker 1: gives you goosebumps. It's a moment ran as a reporter,

698
00:38:20,680 --> 00:38:22,600
Speaker 1: you know, we all have those moments that we that

699
00:38:22,640 --> 00:38:24,840
Speaker 1: we put in the memory book forever, that we know

700
00:38:24,920 --> 00:38:26,560
Speaker 1: we're never going to forget, We're going to hold on

701
00:38:26,600 --> 00:38:30,600
Speaker 1: to for the rest of our lives. Memory book forever, Crystal.

702
00:38:30,640 --> 00:38:32,680
Speaker 1: I mean, she's trying way too hard. She is trying

703
00:38:32,680 --> 00:38:35,000
Speaker 1: too hard. And you know, my mom was not even

704
00:38:35,080 --> 00:38:37,759
Speaker 1: born when Alan Shephard went to space. Like that's like,

705
00:38:37,920 --> 00:38:40,480
Speaker 1: that's how much we seem to have. That's how much

706
00:38:40,480 --> 00:38:43,440
Speaker 1: we seem to have like forgotten in terms of our

707
00:38:43,520 --> 00:38:45,600
Speaker 1: legacy of what we can actually do, and so watching

708
00:38:45,640 --> 00:38:48,160
Speaker 1: the private sector just recreate it, it makes me sad.

709
00:38:48,239 --> 00:38:50,200
Speaker 1: It just shows you that, like how much you've just let,

710
00:38:50,360 --> 00:38:52,279
Speaker 1: you know, kind of go away in terms of our

711
00:38:52,360 --> 00:38:56,480
Speaker 1: national imagination and of our techno technological capabilities. A non

712
00:38:56,520 --> 00:38:59,719
Speaker 1: geared artist who always has good takes on like billionaires

713
00:38:59,760 --> 00:39:03,040
Speaker 1: in the regard. He wrote a substack piece that said,

714
00:39:03,080 --> 00:39:05,239
Speaker 1: I have an idea for a new reality show. It's

715
00:39:05,239 --> 00:39:07,799
Speaker 1: called Billionaires Solve problems the government solved a long time ago,

716
00:39:08,000 --> 00:39:09,920
Speaker 1: and then explain how much more efficient they are than

717
00:39:09,960 --> 00:39:12,560
Speaker 1: the government. I mean, ask Richard Branson and produced, which

718
00:39:12,560 --> 00:39:15,240
Speaker 1: pretty much sums up. Yeah, it's true. What you're saying

719
00:39:15,239 --> 00:39:17,960
Speaker 1: here is like, how is this impressive? We've been doing

720
00:39:17,960 --> 00:39:21,520
Speaker 1: this forever ago, y'all are wanting, especially you know, Musk

721
00:39:21,600 --> 00:39:23,920
Speaker 1: and Bezos. They're winning all this money from the government

722
00:39:24,040 --> 00:39:26,200
Speaker 1: that they're getting in a lot of cases to do

723
00:39:26,239 --> 00:39:31,120
Speaker 1: what NASA accomplished sixty years ago, Like what exactly are

724
00:39:31,120 --> 00:39:34,719
Speaker 1: we doing here? So there's that very specific question. There's

725
00:39:34,920 --> 00:39:39,480
Speaker 1: also this sense of like, you all are the richest

726
00:39:39,480 --> 00:39:42,680
Speaker 1: people on the planet, and you could do anything you

727
00:39:42,719 --> 00:39:45,640
Speaker 1: want with your money to make this world that we

728
00:39:45,680 --> 00:39:48,960
Speaker 1: all live in a better place. Right, you could make

729
00:39:49,000 --> 00:39:51,160
Speaker 1: a lot of different choices to focus on the human

730
00:39:51,239 --> 00:39:55,440
Speaker 1: beings that are actually here, And yet there's this aura

731
00:39:55,480 --> 00:39:57,799
Speaker 1: about it of like, you know, the elites of the

732
00:39:57,800 --> 00:40:00,440
Speaker 1: world have basically screwed up this world. If we look

733
00:40:00,480 --> 00:40:02,959
Speaker 1: at what's going on with climate change now, it really

734
00:40:03,000 --> 00:40:07,000
Speaker 1: is terrifying because we seem to be leapfrogging every projection

735
00:40:07,160 --> 00:40:09,720
Speaker 1: that's like worst case scenario. We seem to be getting

736
00:40:09,719 --> 00:40:12,560
Speaker 1: there faster than even the worst case scenarios and vision.

737
00:40:13,120 --> 00:40:17,160
Speaker 1: And you know, elites disproportionately contributed to climate change and

738
00:40:17,239 --> 00:40:19,319
Speaker 1: corporate interests of business interests and all of that. So

739
00:40:19,400 --> 00:40:22,040
Speaker 1: there's a sense of like, Okay, y'all screwed up this planet,

740
00:40:22,080 --> 00:40:24,000
Speaker 1: and no, I're just like, that's okay, We'll just figure

741
00:40:24,000 --> 00:40:26,239
Speaker 1: out how to get on to the next one. There

742
00:40:26,280 --> 00:40:29,640
Speaker 1: was an exchange. Let me find this. Elon Musk tweeted

743
00:40:31,239 --> 00:40:35,239
Speaker 1: last night, those who attack space maybe don't realize that

744
00:40:35,280 --> 00:40:39,239
Speaker 1: space represents hope for so many people. And Marianne Williamson,

745
00:40:39,360 --> 00:40:42,319
Speaker 1: as she often does, had a phenomenal reply, which is

746
00:40:42,320 --> 00:40:45,160
Speaker 1: that the problem is that Earth represents hopelessness for so

747
00:40:45,320 --> 00:40:49,600
Speaker 1: many more. And so there's this sense of like, number one,

748
00:40:50,200 --> 00:40:54,480
Speaker 1: why are we outsourcing these public goods and government function

749
00:40:54,760 --> 00:40:57,920
Speaker 1: and government capability to a private sector that's like sixty

750
00:40:58,000 --> 00:41:01,080
Speaker 1: years behind and way less efficient than the US government

751
00:41:01,120 --> 00:41:04,160
Speaker 1: has been in these things. And also why is why

752
00:41:04,200 --> 00:41:05,839
Speaker 1: is this your focus? Why is it that all these

753
00:41:05,880 --> 00:41:09,759
Speaker 1: billionaires are jumping in the space race rather than figuring out,

754
00:41:10,200 --> 00:41:13,319
Speaker 1: you know, the next big technology to make things good

755
00:41:13,400 --> 00:41:15,399
Speaker 1: here at home. I think it all, I think all

756
00:41:15,440 --> 00:41:17,480
Speaker 1: of that kind of goes together. I think it all

757
00:41:17,520 --> 00:41:20,080
Speaker 1: comes down to this, which is that look, and this

758
00:41:20,200 --> 00:41:22,840
Speaker 1: is Onan's always bigger point, which is that why do

759
00:41:22,920 --> 00:41:26,560
Speaker 1: you outsource public goods in all forms? So like once

760
00:41:26,560 --> 00:41:29,280
Speaker 1: again it's actually people are like, why doesn't Bill Gates

761
00:41:29,280 --> 00:41:31,600
Speaker 1: and Elon Musk or whatever donate their money. It's not

762
00:41:31,719 --> 00:41:34,279
Speaker 1: It shouldn't be up to them. They're whims of their philanthropy.

763
00:41:34,680 --> 00:41:37,680
Speaker 1: Should not be up to them. We should determine our

764
00:41:37,800 --> 00:41:41,040
Speaker 1: societal problems together and use our government to fix them.

765
00:41:41,080 --> 00:41:43,600
Speaker 1: And if we have to raise taxes, so be it.

766
00:41:43,840 --> 00:41:45,480
Speaker 1: And you know, I mean, like I said, I'll cut

767
00:41:45,560 --> 00:41:47,520
Speaker 1: Musk much more of a break because they actually did,

768
00:41:47,840 --> 00:41:51,280
Speaker 1: you know, revolutionary technology in terms of relanding rockets, drafting

769
00:41:51,360 --> 00:41:53,400
Speaker 1: the price of satellites and all that. I think that

770
00:41:53,440 --> 00:41:56,399
Speaker 1: actually is something inherently better for the public goods. Same

771
00:41:56,400 --> 00:41:58,520
Speaker 1: thing in terms of delivering astronauts to the space station.

772
00:41:58,840 --> 00:42:03,160
Speaker 1: But Blue Origin and Vers have not accomplished any of that, literally,

773
00:42:03,239 --> 00:42:05,440
Speaker 1: not even close. And even it just feels like a

774
00:42:05,480 --> 00:42:08,120
Speaker 1: vanity play. It is a vanity play. I mean, Branson

775
00:42:08,200 --> 00:42:11,080
Speaker 1: explicitly wanted to go before Bezos, and I mean, look

776
00:42:11,880 --> 00:42:14,960
Speaker 1: like I don't want to go after the engineers and

777
00:42:15,000 --> 00:42:17,759
Speaker 1: all that that made it possible. What it is is

778
00:42:17,800 --> 00:42:22,360
Speaker 1: that why are we celebrating and forgetting our own legacy

779
00:42:22,400 --> 00:42:26,759
Speaker 1: of being able to accomplish astounding and incredible things. It's

780
00:42:26,760 --> 00:42:29,000
Speaker 1: like that reporter probably doesn't even know that we did

781
00:42:29,000 --> 00:42:31,880
Speaker 1: this back in the nineteen sixties. Nineteen sixty one is

782
00:42:31,920 --> 00:42:35,239
Speaker 1: whenever we went into space as mankind nineteen sixty two,

783
00:42:35,480 --> 00:42:37,439
Speaker 1: as the United States John Glenn Orbit of the Earth

784
00:42:37,440 --> 00:42:39,759
Speaker 1: in nineteen sixty two, a couple of times, it's like

785
00:42:39,920 --> 00:42:42,360
Speaker 1: these were things which were huge in the national memory,

786
00:42:42,360 --> 00:42:45,719
Speaker 1: and it's just like forgotten within a single generation, and

787
00:42:46,040 --> 00:42:48,239
Speaker 1: you look, now we don't even have I mean, I

788
00:42:48,280 --> 00:42:50,719
Speaker 1: always see NASA being like, oh, well, we're going to

789
00:42:50,760 --> 00:42:52,960
Speaker 1: have a moon base by twenty twenty. I'm like, get out, no,

790
00:42:53,040 --> 00:42:55,759
Speaker 1: you're not the same, or we're going to Mars by

791
00:42:55,960 --> 00:42:59,240
Speaker 1: twenty forty. It's a total joke. And the real truth

792
00:42:59,600 --> 00:43:01,440
Speaker 1: is that if if there's anybody who's going to make

793
00:43:01,480 --> 00:43:04,600
Speaker 1: it back to the Moon or Mars, it's probably SpaceX

794
00:43:04,840 --> 00:43:08,160
Speaker 1: and God bless you know. Okay, good, but I will

795
00:43:08,200 --> 00:43:10,600
Speaker 1: always have qualms with the idea that a private company

796
00:43:10,680 --> 00:43:12,799
Speaker 1: which also has contracts with the Chinese government and all

797
00:43:12,840 --> 00:43:16,200
Speaker 1: these other people. At the end of the day, SpaceX

798
00:43:16,280 --> 00:43:19,040
Speaker 1: is loyal to the dollar. That's not their fault. That's

799
00:43:19,080 --> 00:43:21,960
Speaker 1: just how it is. Like you shouldn't necessarily have your

800
00:43:22,160 --> 00:43:26,160
Speaker 1: next space program, especially if it's something that could be

801
00:43:26,280 --> 00:43:29,640
Speaker 1: the future of humanity, it shouldn't be it should beholden

802
00:43:29,800 --> 00:43:31,840
Speaker 1: to a country or to the you know, to the people.

803
00:43:32,000 --> 00:43:34,719
Speaker 1: In the spirit of the International Space Station, that's very

804
00:43:34,760 --> 00:43:40,440
Speaker 1: well said. We're taking you know, science and exploration and

805
00:43:40,719 --> 00:43:44,680
Speaker 1: potential hope for the future of humanity and from the

806
00:43:44,760 --> 00:43:47,520
Speaker 1: jump turning it into a commodity to be subject to

807
00:43:47,560 --> 00:43:52,719
Speaker 1: the same capitalistic whims and corrupt forces and dedication to

808
00:43:52,760 --> 00:43:57,120
Speaker 1: the profit margin over literally everything else that you know,

809
00:43:57,280 --> 00:43:59,719
Speaker 1: everything here is already subjected to. It reminds me of

810
00:43:59,760 --> 00:44:01,920
Speaker 1: that from Fight Club when the guy's guy. I can

811
00:44:01,920 --> 00:44:04,400
Speaker 1: forget what he says. It's like the IBM Stellar sphere,

812
00:44:04,640 --> 00:44:06,839
Speaker 1: or he talks about how corporations are going to be

813
00:44:07,120 --> 00:44:09,960
Speaker 1: naming the constellations or whatever in space. Yeah, here we

814
00:44:10,080 --> 00:44:12,920
Speaker 1: get in. You know, he wasn't that far off. I

815
00:44:12,920 --> 00:44:15,080
Speaker 1: remember with the Red Bull Jump. That's when I was like, man,

816
00:44:15,160 --> 00:44:17,520
Speaker 1: this is a little bit too close to reality. Noon

817
00:44:17,560 --> 00:44:19,839
Speaker 1: brought to you by Amazon. There you go. Yeah, it's

818
00:44:19,880 --> 00:44:22,560
Speaker 1: not too far away. We do want to stick to

819
00:44:22,760 --> 00:44:25,960
Speaker 1: Also a very important story. Yeah yeah, speaking of dystopia,

820
00:44:26,280 --> 00:44:29,960
Speaker 1: we've actually entered that. So this story flew completely under

821
00:44:30,400 --> 00:44:33,000
Speaker 1: the radar yesterday. But if you read this, it is

822
00:44:33,040 --> 00:44:35,840
Speaker 1: some of the most stunning things that you'll see proposed

823
00:44:35,920 --> 00:44:38,279
Speaker 1: yet by the US government in terms of surveillance. Let's

824
00:44:38,280 --> 00:44:42,440
Speaker 1: put this up there. So the administration is very concerned

825
00:44:42,680 --> 00:44:46,279
Speaker 1: with the unvaccinated. Okay, you know that's absolutely true. Ninety

826
00:44:46,360 --> 00:44:48,640
Speaker 1: nine percent I believe of the deaths from the delta

827
00:44:48,680 --> 00:44:50,840
Speaker 1: variant in the United States so far are from the

828
00:44:50,920 --> 00:44:54,920
Speaker 1: unvaccinated population. But look at what they're calling for. They

829
00:44:54,920 --> 00:44:58,319
Speaker 1: are calling for taking such an aggressive approach. They want

830
00:44:58,360 --> 00:45:03,279
Speaker 1: to call on SMS characters, are SMS carriers to meet

831
00:45:03,400 --> 00:45:07,439
Speaker 1: out false messages. And it's not just the government read

832
00:45:07,480 --> 00:45:13,200
Speaker 1: this sentence, Biden. Allied groups, including the Democratic National Committee

833
00:45:13,320 --> 00:45:17,440
Speaker 1: are also planning to engage fact checkers more aggressively and

834
00:45:17,640 --> 00:45:23,200
Speaker 1: work with SMS carriers to dispel misinformation about vaccines that

835
00:45:23,320 --> 00:45:28,520
Speaker 1: is sent over social media and text messages. Uh what now, Look,

836
00:45:29,200 --> 00:45:31,920
Speaker 1: I think people should get vaccinated. I have two doses

837
00:45:31,960 --> 00:45:35,360
Speaker 1: of maderna, and so does Crystal happen months ago, feeling

838
00:45:35,440 --> 00:45:38,880
Speaker 1: completely fine. But this is way over the line. You

839
00:45:38,920 --> 00:45:43,640
Speaker 1: cannot censor people's text messages or imagine getting a text

840
00:45:43,680 --> 00:45:46,000
Speaker 1: from your kooky uncle who's like there's a five G

841
00:45:46,200 --> 00:45:48,719
Speaker 1: chip in the VAC and you're like, okay, uncle, you

842
00:45:48,719 --> 00:45:51,640
Speaker 1: know whatever, And then AT and T is like your

843
00:45:52,000 --> 00:45:56,120
Speaker 1: uncle has sent you misinformation? Here are real lit No,

844
00:45:56,400 --> 00:45:59,840
Speaker 1: absolutely not, because as we have now seen, when you

845
00:46:00,080 --> 00:46:04,239
Speaker 1: tube and when Facebook and Twitter underwent the most censorious

846
00:46:04,239 --> 00:46:07,719
Speaker 1: campaign in modern history around vaccines, you can think what

847
00:46:07,800 --> 00:46:10,359
Speaker 1: you want about that. They paved the way to take

848
00:46:10,400 --> 00:46:12,680
Speaker 1: off anything that they possibly want where there's a lot

849
00:46:12,680 --> 00:46:15,240
Speaker 1: of special interests with a lot of you know, want

850
00:46:15,280 --> 00:46:18,840
Speaker 1: who weighs and wants to weaponize this. Once you do

851
00:46:18,880 --> 00:46:21,560
Speaker 1: it once, it will continue to happen. This is a

852
00:46:21,600 --> 00:46:25,440
Speaker 1: line that we cannot break going through to people's private

853
00:46:25,719 --> 00:46:30,160
Speaker 1: communications between each other via text message. Imagine AT and

854
00:46:30,239 --> 00:46:32,880
Speaker 1: T should have And they make this argument all the time.

855
00:46:33,040 --> 00:46:34,839
Speaker 1: We don't want we want nothing to do with our

856
00:46:34,880 --> 00:46:37,640
Speaker 1: customers phone calls. We have nothing to This actually will

857
00:46:37,680 --> 00:46:40,640
Speaker 1: put them in the relationship between you and somebody else.

858
00:46:40,640 --> 00:46:42,560
Speaker 1: If they want to be common carriers and treated as

859
00:46:42,640 --> 00:46:45,920
Speaker 1: utilities and all that, then you can't be doing stuff

860
00:46:45,960 --> 00:46:48,880
Speaker 1: like this. This is straight up Like I mean, I

861
00:46:48,920 --> 00:46:51,840
Speaker 1: saw all these people talking about what's happening in Cuba yesterday.

862
00:46:51,880 --> 00:46:54,520
Speaker 1: The Cubans cut off the Internet, and everyone's like, oh,

863
00:46:54,520 --> 00:46:57,160
Speaker 1: everybody understands the Internet and free expression and the ability

864
00:46:57,160 --> 00:47:01,440
Speaker 1: to communicate is vital to Yeah, I mean I agree. Meanwhile,

865
00:47:01,520 --> 00:47:04,280
Speaker 1: the DNC and the government want to censor your text

866
00:47:04,320 --> 00:47:08,560
Speaker 1: messages again. Even if you agree that everybody should get vaccinated,

867
00:47:08,600 --> 00:47:11,040
Speaker 1: If you'd want more aggressive, fine, that's up to the

868
00:47:11,080 --> 00:47:12,640
Speaker 1: White House. They can go a speech, and they can

869
00:47:12,680 --> 00:47:14,600
Speaker 1: plan a whistlestop tour and they can go all over

870
00:47:14,640 --> 00:47:17,560
Speaker 1: the country and make the case. Okay, go for it.

871
00:47:17,680 --> 00:47:21,759
Speaker 1: But this level of intrusion into people's lives on the SMS,

872
00:47:22,400 --> 00:47:24,319
Speaker 1: there is no going back from that. It should only

873
00:47:24,320 --> 00:47:27,360
Speaker 1: be used in a single case a nuclear weapon is incoming,

874
00:47:27,560 --> 00:47:30,480
Speaker 1: takes shelter. That's about it. And whenever it comes to that,

875
00:47:30,960 --> 00:47:34,680
Speaker 1: this is the dystopian future that we've been warning you about,

876
00:47:35,400 --> 00:47:37,560
Speaker 1: and you know there's a direct line. I have a

877
00:47:37,560 --> 00:47:39,359
Speaker 1: lot to say about this. First of all, it's really

878
00:47:39,360 --> 00:47:42,560
Speaker 1: interesting the way that they framed this article like this

879
00:47:42,960 --> 00:47:48,880
Speaker 1: completely bombshell news about their thinking of moditoring your text

880
00:47:48,880 --> 00:47:53,640
Speaker 1: messages for misinformation is like buried down in this thing seven.

881
00:47:54,280 --> 00:47:56,880
Speaker 1: It's like the classic buried the lead. The headline is

882
00:47:56,920 --> 00:47:59,480
Speaker 1: potentially a death sentence. White House goes off on vaccine

883
00:47:59,520 --> 00:48:03,640
Speaker 1: fearmung when the headline obviously should be white House considering

884
00:48:04,040 --> 00:48:09,319
Speaker 1: censoring and monitoring your text messages. So there's that that

885
00:48:09,440 --> 00:48:13,040
Speaker 1: like they clearly whoever wrote this didn't see this as

886
00:48:13,160 --> 00:48:15,200
Speaker 1: that big of a deal, which is very telling in

887
00:48:15,200 --> 00:48:17,920
Speaker 1: and of itself. The other thing is, you know, since

888
00:48:18,000 --> 00:48:20,600
Speaker 1: the time we were at Rising, we've been covering the

889
00:48:20,640 --> 00:48:26,760
Speaker 1: way that elite media has been pushing towards this exact

890
00:48:26,840 --> 00:48:32,440
Speaker 1: outcome anywhere that there's unfettered conversations going on. The New

891
00:48:32,480 --> 00:48:36,040
Speaker 1: York Times in particular, has been making it a point

892
00:48:36,320 --> 00:48:39,160
Speaker 1: to go after those spaces. So we saw them go

893
00:48:39,280 --> 00:48:42,919
Speaker 1: after podcasts, we saw them go after Parlor, we saw

894
00:48:42,960 --> 00:48:46,520
Speaker 1: them go after Signal, which was a real warning side

895
00:48:46,560 --> 00:48:48,640
Speaker 1: because that's for those of you who don't know, the

896
00:48:48,680 --> 00:48:51,960
Speaker 1: Signal is an encrypted app where you send text messages.

897
00:48:52,000 --> 00:48:56,720
Speaker 1: So as they're starting to normalize this idea that even

898
00:48:56,800 --> 00:49:01,399
Speaker 1: your encrypted messages sent private le to people in your

899
00:49:01,480 --> 00:49:08,279
Speaker 1: contacts should be checked for misinformation, this normalizing it to

900
00:49:08,320 --> 00:49:09,880
Speaker 1: the public, and then the White House can come in

901
00:49:09,920 --> 00:49:11,800
Speaker 1: and say, yeah, actually, that's that's what we're going to do.

902
00:49:11,920 --> 00:49:15,520
Speaker 1: We're gonna start looking at SMS at text messages. I

903
00:49:15,640 --> 00:49:19,799
Speaker 1: just have a million questions about the legality of this,

904
00:49:20,440 --> 00:49:23,279
Speaker 1: what the plans are are. I mean, how would this

905
00:49:23,360 --> 00:49:28,359
Speaker 1: even work, who makes the decision? What is misinformation? And

906
00:49:28,440 --> 00:49:31,080
Speaker 1: what is accurate? I mean, we've seen it on YouTube

907
00:49:31,120 --> 00:49:34,840
Speaker 1: plenty of times, where you know, things that are completely

908
00:49:34,920 --> 00:49:39,680
Speaker 1: legitimate are taken down or they're taken down when they're

909
00:49:39,680 --> 00:49:43,960
Speaker 1: shared by an independent journalist. But when CNN licenses that

910
00:49:44,080 --> 00:49:47,080
Speaker 1: exact same video, it's not taken down. So how is

911
00:49:47,120 --> 00:49:50,240
Speaker 1: this going to be applied? This is this is really

912
00:49:50,360 --> 00:49:55,279
Speaker 1: wild stuff if they're actually thinking about monitoring and censoring

913
00:49:55,440 --> 00:49:58,880
Speaker 1: your text messages. Right, And look, we already see how

914
00:49:59,000 --> 00:50:02,960
Speaker 1: saw this played out. Everyone was generally okay with the

915
00:50:02,960 --> 00:50:06,120
Speaker 1: people out there who were like, they're implanting chips into people,

916
00:50:06,160 --> 00:50:09,160
Speaker 1: and YouTube took it down and nobody really was squeamish

917
00:50:09,200 --> 00:50:11,520
Speaker 1: about it. But then what happened when we talked about

918
00:50:11,560 --> 00:50:15,640
Speaker 1: ivermectin when doctor Pierre Corey testified before the US Senate

919
00:50:15,760 --> 00:50:18,759
Speaker 1: and his testimony was removed by YouTube. Now what's going

920
00:50:18,800 --> 00:50:22,040
Speaker 1: on is that on the line, what if somebody texted

921
00:50:22,080 --> 00:50:24,960
Speaker 1: somebody about doctor Corey? Are they going to get taken down.

922
00:50:25,239 --> 00:50:27,959
Speaker 1: I mean, think about back in January of twenty twenty,

923
00:50:27,960 --> 00:50:31,160
Speaker 1: the World Health Organization believes the Chinese government and says

924
00:50:31,160 --> 00:50:34,040
Speaker 1: that coronavirus is not human to human transmission, while the

925
00:50:34,120 --> 00:50:36,800
Speaker 1: Chinese are lying about it. I mean, by this standard,

926
00:50:36,880 --> 00:50:39,120
Speaker 1: in the next pandemic, are they going to block text

927
00:50:39,120 --> 00:50:42,400
Speaker 1: messages or send you an official fact check around that?

928
00:50:42,680 --> 00:50:46,000
Speaker 1: This is where things get dicey here, very very quickly,

929
00:50:46,320 --> 00:50:48,279
Speaker 1: and like, I mean, look, I'm stunned that it's not

930
00:50:48,320 --> 00:50:50,319
Speaker 1: actually a bigger story that they buried it down in

931
00:50:50,360 --> 00:50:54,359
Speaker 1: the seventh graft because they're considered it okay. Also, why

932
00:50:54,440 --> 00:50:59,400
Speaker 1: are the Biden allied groups including the Democratic National Committee

933
00:51:00,000 --> 00:51:03,759
Speaker 1: looking with AT and T Verizon T Mobile. I don't

934
00:51:03,800 --> 00:51:05,840
Speaker 1: think Sprint is around anymore. I think it got bought

935
00:51:05,920 --> 00:51:08,239
Speaker 1: by what I mean, there's only three carriers or three

936
00:51:08,320 --> 00:51:10,359
Speaker 1: or four I believe, you know, and a bunch of

937
00:51:10,400 --> 00:51:13,839
Speaker 1: like discount ones with piggyback off their networks. I mean,

938
00:51:13,920 --> 00:51:19,160
Speaker 1: if they're working within a political party to discuss health information,

939
00:51:19,760 --> 00:51:23,080
Speaker 1: what are we doing here? And I've seen this Crystal

940
00:51:23,320 --> 00:51:26,320
Speaker 1: used to sack California right now has mass mandates around

941
00:51:26,400 --> 00:51:29,920
Speaker 1: kids in schools that's against CDC guidance. I mean who's

942
00:51:29,960 --> 00:51:32,960
Speaker 1: the who's you know, who's signed anything more? Anyone in

943
00:51:33,000 --> 00:51:36,560
Speaker 1: fact checking that? Yeah? Actually yes, I mean mostly people

944
00:51:36,680 --> 00:51:40,319
Speaker 1: on Twitter. But like, are there text messages being you know,

945
00:51:40,560 --> 00:51:45,239
Speaker 1: sre Gavin Newsom's text messages be censored because he's explicitly

946
00:51:45,360 --> 00:51:50,240
Speaker 1: violating uh CDC guidance here around mass I don't agree

947
00:51:50,239 --> 00:51:52,120
Speaker 1: with that decision. I think he has the right to

948
00:51:52,160 --> 00:51:53,799
Speaker 1: say whatever he wants, if he wants, you know, if

949
00:51:53,800 --> 00:51:55,600
Speaker 1: he wants to put kids through that be my guest,

950
00:51:55,680 --> 00:51:58,360
Speaker 1: I guess. And it's just one of these things where

951
00:51:59,000 --> 00:52:02,160
Speaker 1: you can see how it will only be probably applied

952
00:52:02,200 --> 00:52:04,920
Speaker 1: in one direction. Once you have that capability, it's not

953
00:52:05,000 --> 00:52:08,440
Speaker 1: going away. Once the DNC and these groups work with

954
00:52:08,560 --> 00:52:12,440
Speaker 1: a text message carrier, what's going to happen next Whenever

955
00:52:12,520 --> 00:52:14,480
Speaker 1: if let's say Trump runs again for president and he

956
00:52:14,520 --> 00:52:16,680
Speaker 1: says something, they're going to be like, you have a

957
00:52:16,719 --> 00:52:22,040
Speaker 1: responsibility to correct misinformation. And so the Trump campaign is

958
00:52:22,080 --> 00:52:25,239
Speaker 1: any campaign sends out a text message for fundraising, are

959
00:52:25,320 --> 00:52:27,160
Speaker 1: you going to get a text from your carrier saying

960
00:52:27,200 --> 00:52:30,239
Speaker 1: that this text is full of misinformation? This is the

961
00:52:30,320 --> 00:52:32,200
Speaker 1: road is just going to be blocked. Is it going

962
00:52:32,239 --> 00:52:35,280
Speaker 1: to be blocked? They did it with the New York Post.

963
00:52:35,360 --> 00:52:37,880
Speaker 1: How can I monitor that? How are you to monitor

964
00:52:37,880 --> 00:52:40,560
Speaker 1: everyone's text messages? I mean we know they already have. Yeah,

965
00:52:40,560 --> 00:52:42,960
Speaker 1: I mean, look, you know the government has a capability,

966
00:52:43,000 --> 00:52:45,239
Speaker 1: but I mean, last time I checked, at least at

967
00:52:45,360 --> 00:52:47,960
Speaker 1: and T hasn't been doing this. So all of it

968
00:52:48,040 --> 00:52:52,360
Speaker 1: becomes very, very a big problem very quickly. I'm shocked

969
00:52:52,360 --> 00:52:54,440
Speaker 1: that more people haven't looked at it. And part of

970
00:52:54,440 --> 00:52:56,280
Speaker 1: the problem is that it's under the guise of vaccines,

971
00:52:56,480 --> 00:53:01,080
Speaker 1: which reasonable person can argue and say, oh, I want

972
00:53:01,080 --> 00:53:03,600
Speaker 1: people to get vaccinated. You know, everybody know who's vack,

973
00:53:03,680 --> 00:53:05,920
Speaker 1: I'm vaccinating all that, But it doesn't matter. I mean,

974
00:53:05,920 --> 00:53:09,040
Speaker 1: we're seeing already. Also, we I don't think we have

975
00:53:09,080 --> 00:53:12,359
Speaker 1: a tear sheet of this necessarily, but the people who

976
00:53:12,360 --> 00:53:17,799
Speaker 1: are not vaccinated are disproportionately poor, below fifty thousand dollars

977
00:53:17,800 --> 00:53:20,399
Speaker 1: a year and likely to be in poverty. I mean,

978
00:53:20,480 --> 00:53:24,000
Speaker 1: these are people who don't trust institutions, they're largely downwardly mobile,

979
00:53:24,040 --> 00:53:26,080
Speaker 1: they've been screwed over by the medical system, and many

980
00:53:26,080 --> 00:53:27,960
Speaker 1: more well, who can blame them? And you think blocking

981
00:53:28,000 --> 00:53:30,560
Speaker 1: their text messages, well, is going to accomplish this. Here's

982
00:53:30,600 --> 00:53:34,160
Speaker 1: the other piece of that from that same survey, somewhere

983
00:53:34,160 --> 00:53:37,120
Speaker 1: around like a quarter of people under who are earning

984
00:53:37,239 --> 00:53:40,200
Speaker 1: less than fifty thousand dollars a year who haven't gotten

985
00:53:40,280 --> 00:53:44,200
Speaker 1: vaccinated yet actually want to get vaccinated. You go, but

986
00:53:45,200 --> 00:53:47,359
Speaker 1: guess what, we don't have paid sickly or can't take dawn.

987
00:53:47,480 --> 00:53:50,160
Speaker 1: In America, you can't take a day off from your job,

988
00:53:50,360 --> 00:53:52,600
Speaker 1: let alone, if you have symptoms and you're sick and

989
00:53:52,640 --> 00:53:55,239
Speaker 1: you can't come in the next day, you can't. You

990
00:53:55,280 --> 00:53:58,440
Speaker 1: can't do it. So you know, for you and for me,

991
00:53:58,520 --> 00:54:01,360
Speaker 1: it's no big deal. If I needed to take you know,

992
00:54:01,400 --> 00:54:03,600
Speaker 1: we got the weekends off. If I needed to take off,

993
00:54:03,600 --> 00:54:05,879
Speaker 1: we would have figured it out. It's fine. A lot

994
00:54:05,880 --> 00:54:08,360
Speaker 1: of Americans, especially make in less than fifty k a

995
00:54:08,440 --> 00:54:11,240
Speaker 1: year where you're close to the line. You can't afford

996
00:54:11,280 --> 00:54:13,319
Speaker 1: to take that time off of work, and we don't

997
00:54:13,360 --> 00:54:15,400
Speaker 1: have paid sick leave to do it. So one of

998
00:54:15,400 --> 00:54:18,320
Speaker 1: the things that James Medlock, who's you know, a policy

999
00:54:18,360 --> 00:54:22,680
Speaker 1: analyst and very online, also has been advocating for, which

1000
00:54:22,680 --> 00:54:24,680
Speaker 1: I think makes a lot of sense, is give people

1001
00:54:24,680 --> 00:54:27,200
Speaker 1: paid sick leave to go get the damn vaccine. That

1002
00:54:27,239 --> 00:54:33,480
Speaker 1: would do way more than your SMS misinformation monitoring, bullshit

1003
00:54:33,719 --> 00:54:35,680
Speaker 1: or whatever else it is that you're planning to do.

1004
00:54:36,400 --> 00:54:39,759
Speaker 1: Because you have a large group that wants to get

1005
00:54:39,760 --> 00:54:45,040
Speaker 1: the vaccine but has logistical life hurdles, reduce those hurdles,

1006
00:54:45,080 --> 00:54:47,200
Speaker 1: make it easier for them so that they can actually

1007
00:54:47,239 --> 00:54:49,319
Speaker 1: get it done, and then you start to get to

1008
00:54:49,360 --> 00:54:51,479
Speaker 1: the place of, you know, right now, part of why

1009
00:54:51,600 --> 00:54:53,719
Speaker 1: they're I guess freaking out reaching for these sort of

1010
00:54:53,719 --> 00:54:57,040
Speaker 1: extreme solutions is we've had we've had a good we've

1011
00:54:57,080 --> 00:54:59,560
Speaker 1: done a good job of getting the people who want

1012
00:54:59,560 --> 00:55:02,279
Speaker 1: to get thatvaccinated and for whom you know, that's an

1013
00:55:02,280 --> 00:55:06,320
Speaker 1: easy proposition of getting them vaccinated. Now there's a flattening

1014
00:55:06,360 --> 00:55:09,920
Speaker 1: off of people going in and getting the vaccines, so

1015
00:55:09,960 --> 00:55:13,520
Speaker 1: they're reaching for these kind of extreme solutions so that

1016
00:55:13,560 --> 00:55:16,080
Speaker 1: we all can get to hurt immunity and just get

1017
00:55:16,120 --> 00:55:19,720
Speaker 1: as many people vaccinated as possible. Well, really obvious one

1018
00:55:19,520 --> 00:55:22,640
Speaker 1: that Medlock has been pointing out is give people paid

1019
00:55:22,760 --> 00:55:26,799
Speaker 1: sick leave so that they can take time off work

1020
00:55:26,880 --> 00:55:29,160
Speaker 1: and get this done and not worry about if they

1021
00:55:29,160 --> 00:55:31,799
Speaker 1: have a reaction, they have symptoms and they need an

1022
00:55:31,880 --> 00:55:35,200
Speaker 1: extra day to be able to rest and cover. Seems

1023
00:55:35,280 --> 00:55:41,640
Speaker 1: like way better, way, better approach than whatever this nonsense is. Ultimately,

1024
00:55:41,680 --> 00:55:43,879
Speaker 1: and one thing that I disagree with that you said

1025
00:55:43,920 --> 00:55:45,760
Speaker 1: is that you think it'll only go in one direction

1026
00:55:45,840 --> 00:55:49,480
Speaker 1: on vaccines. Yes, that's true, but look, Trump gets reelected,

1027
00:55:49,680 --> 00:55:52,160
Speaker 1: you think he's not going to use this power. Do

1028
00:55:52,160 --> 00:55:54,000
Speaker 1: you think he's not going to use this same power

1029
00:55:54,120 --> 00:55:57,720
Speaker 1: against you know, liberals or leftists or whoever or whatever,

1030
00:55:57,840 --> 00:56:01,120
Speaker 1: against medicare for all? Who knows? Right? Because one thing

1031
00:56:01,200 --> 00:56:03,840
Speaker 1: we know about presidential power is once you have a

1032
00:56:03,880 --> 00:56:06,399
Speaker 1: tool and your toolkit, they never give it back. Once

1033
00:56:06,440 --> 00:56:09,600
Speaker 1: the powers are expanded, they never ever take a step

1034
00:56:09,640 --> 00:56:11,560
Speaker 1: back and say, you know what, this went too far.

1035
00:56:11,719 --> 00:56:15,200
Speaker 1: So this president gets set, then you better be comfortable

1036
00:56:15,280 --> 00:56:19,759
Speaker 1: with Donald Trump or Ron DeSantis or Don Junior or

1037
00:56:20,000 --> 00:56:22,920
Speaker 1: whoever ends up as the next Republican president having the

1038
00:56:23,000 --> 00:56:25,319
Speaker 1: exact same capability. Actually, you know what, I'm glad you

1039
00:56:25,360 --> 00:56:26,960
Speaker 1: corrected me because you're right, which is that once it

1040
00:56:26,960 --> 00:56:29,080
Speaker 1: gets codified by the government, and once it gets codified

1041
00:56:29,080 --> 00:56:31,560
Speaker 1: by a political party working with the private carrier, and

1042
00:56:31,600 --> 00:56:33,520
Speaker 1: the government gets to set the terms what's true and

1043
00:56:33,560 --> 00:56:36,239
Speaker 1: what's not. That is yeah, the next time will be

1044
00:56:36,239 --> 00:56:40,279
Speaker 1: the RNC working with the government. Do you want the

1045
00:56:40,400 --> 00:56:44,600
Speaker 1: RNC pumping out election and information to correct misinformation when

1046
00:56:44,600 --> 00:56:47,080
Speaker 1: all that was going on? Yeah? Just think about how

1047
00:56:47,120 --> 00:56:52,120
Speaker 1: haywire this whole thing goes. Yeah, anyway, that's all we

1048
00:56:52,160 --> 00:56:55,520
Speaker 1: have to say about that. It's just somewhere today really

1049
00:56:55,520 --> 00:56:57,759
Speaker 1: stopped me in my tracks. We're going to track it incredibly,

1050
00:56:57,800 --> 00:57:00,400
Speaker 1: incredibly closely as we move forward. Let's move onto this

1051
00:57:00,400 --> 00:57:03,760
Speaker 1: next thing. Slightly more optimistic. Actually, yeah, I think Crystal,

1052
00:57:03,840 --> 00:57:05,520
Speaker 1: a very good test of whether you and I are

1053
00:57:05,600 --> 00:57:08,360
Speaker 1: right in any way about politics, which is that can

1054
00:57:09,239 --> 00:57:12,960
Speaker 1: some of our bigger social problems just be fixed with money?

1055
00:57:13,120 --> 00:57:15,880
Speaker 1: I personally believe yes. Let's put this up there. So,

1056
00:57:15,920 --> 00:57:20,760
Speaker 1: the Biden administration is days away from beginning monthly payments

1057
00:57:20,800 --> 00:57:24,000
Speaker 1: to families with children with the child Tax Credit up

1058
00:57:24,040 --> 00:57:26,920
Speaker 1: to three hundred dollars per child a month to most

1059
00:57:26,960 --> 00:57:30,920
Speaker 1: American families. Now that is thanks to the temporary increase.

1060
00:57:30,920 --> 00:57:32,840
Speaker 1: I think it's only a couple of years here, But

1061
00:57:33,480 --> 00:57:36,280
Speaker 1: this I believe expires in the middle of the midterms

1062
00:57:36,400 --> 00:57:39,840
Speaker 1: strategically in order to make sure that people won't vote

1063
00:57:39,880 --> 00:57:44,440
Speaker 1: against it. It's a very interesting test of if you

1064
00:57:44,520 --> 00:57:47,440
Speaker 1: give people three hundred dollars a month per child. A

1065
00:57:48,320 --> 00:57:51,280
Speaker 1: Why do people on the right support this? Is it

1066
00:57:51,320 --> 00:57:54,720
Speaker 1: going to increase fertility rate? Because a lot of moms

1067
00:57:54,880 --> 00:57:56,960
Speaker 1: say that the number one reason they can't have more

1068
00:57:57,040 --> 00:57:59,320
Speaker 1: kids is because they can't afford it. A lot of

1069
00:57:59,360 --> 00:58:02,680
Speaker 1: families say they can't afford either the daycare or a

1070
00:58:02,720 --> 00:58:05,680
Speaker 1: mom or a dad. Anyone wants to take off work

1071
00:58:05,960 --> 00:58:08,280
Speaker 1: and or it doesn't want to work anymore and stay home,

1072
00:58:08,480 --> 00:58:11,320
Speaker 1: but they don't have the financial capability. People say that

1073
00:58:11,360 --> 00:58:14,480
Speaker 1: they can't necessarily get married even if they already have

1074
00:58:14,640 --> 00:58:18,480
Speaker 1: children because of the financial barrier. Already actually believe diaper

1075
00:58:18,560 --> 00:58:21,080
Speaker 1: prices are one of the highest that they've been in

1076
00:58:21,120 --> 00:58:24,520
Speaker 1: a long time, which is huge tax, especially on the

1077
00:58:24,560 --> 00:58:28,120
Speaker 1: working poor. So three hundred dollars per month per kid,

1078
00:58:28,400 --> 00:58:31,320
Speaker 1: that's a lot of money. And when you consider especially

1079
00:58:31,440 --> 00:58:34,400
Speaker 1: almost what the average American family, if they do have kids,

1080
00:58:34,400 --> 00:58:37,120
Speaker 1: it's like two kids, that's six hundred dollars extra per month.

1081
00:58:37,360 --> 00:58:39,680
Speaker 1: I mean in some places that's not necessarily rent. Maybe

1082
00:58:39,720 --> 00:58:42,080
Speaker 1: that's half your rent, maybe that is your diaper budget.

1083
00:58:42,360 --> 00:58:46,440
Speaker 1: Will that affect your behavior more importantly? Will you remember

1084
00:58:46,520 --> 00:58:50,160
Speaker 1: it come election day? And because this is basically a

1085
00:58:50,280 --> 00:58:53,720
Speaker 1: universal program. I don't think you can take these things away,

1086
00:58:54,720 --> 00:58:56,520
Speaker 1: but I could be wrong. It could be that the

1087
00:58:56,560 --> 00:58:59,800
Speaker 1: culture war is so powerful that this will fade away

1088
00:59:00,000 --> 00:59:01,840
Speaker 1: and we'll just forget about it. In some ways, that's

1089
00:59:01,880 --> 00:59:04,520
Speaker 1: what happened with the stimulus checks, but those were one time.

1090
00:59:04,960 --> 00:59:08,520
Speaker 1: This is a monthly payment which people will receive for

1091
00:59:08,600 --> 00:59:10,600
Speaker 1: more than a year. So once it becomes part of

1092
00:59:10,600 --> 00:59:13,320
Speaker 1: your financial budget, once it becomes part of your life,

1093
00:59:13,640 --> 00:59:15,760
Speaker 1: are you going to a reward the people who gave

1094
00:59:15,800 --> 00:59:17,720
Speaker 1: it to you? And b are you going to fight

1095
00:59:17,800 --> 00:59:20,320
Speaker 1: for that program? Are you going to make it and

1096
00:59:20,520 --> 00:59:24,120
Speaker 1: change societal behavior? Will it make things more stable? Like

1097
00:59:24,200 --> 00:59:26,160
Speaker 1: you know, we were talking about global chaos? Yeah, in

1098
00:59:26,200 --> 00:59:29,840
Speaker 1: the show, it's a big test. I honestly have no clue. Yeah,

1099
00:59:29,920 --> 00:59:33,840
Speaker 1: that's that's all really accurate. And for once, Democrats are

1100
00:59:33,840 --> 00:59:35,600
Speaker 1: actually a little bit smart about the way that they

1101
00:59:35,600 --> 00:59:39,920
Speaker 1: did this politically. George W. Bush and then Trump, like

1102
00:59:40,200 --> 00:59:42,560
Speaker 1: when they give out a tax credit or a check

1103
00:59:42,640 --> 00:59:44,760
Speaker 1: or whatever, they're happy to like put their name all

1104
00:59:44,800 --> 00:59:47,520
Speaker 1: over it. So everybody knows this came from me. I

1105
00:59:47,560 --> 00:59:51,640
Speaker 1: actually got a letter in the mail from Joe Biden

1106
00:59:52,000 --> 00:59:54,800
Speaker 1: letting me know about the child Tax Credit, and you

1107
00:59:54,800 --> 00:59:56,960
Speaker 1: know they so they've done a more effective job just

1108
00:59:57,000 --> 00:59:59,640
Speaker 1: of marketing this of like, hey, guys, you're getting this money,

1109
00:59:59,680 --> 01:00:02,360
Speaker 1: and it's because of us. I wanted to read to

1110
01:00:02,440 --> 01:00:05,320
Speaker 1: you a little bit of what this could mean for

1111
01:00:05,520 --> 01:00:09,320
Speaker 1: families and single moms who are you know, right at

1112
01:00:09,360 --> 01:00:12,080
Speaker 1: the poverty line, who are struggling to make the budget

1113
01:00:12,080 --> 01:00:14,840
Speaker 1: work month a month. This is from that New York

1114
01:00:14,880 --> 01:00:17,880
Speaker 1: Times story. They say few places evoke the need for

1115
01:00:17,920 --> 01:00:20,640
Speaker 1: this credit more than Lake Providence, Louisiana's, a hamlet along

1116
01:00:20,640 --> 01:00:23,600
Speaker 1: the Mississippi River where roughly three quarters of the children

1117
01:00:23,640 --> 01:00:26,520
Speaker 1: are poor, including those of Tammy Wilson, fifty, who's a

1118
01:00:26,600 --> 01:00:29,760
Speaker 1: jobless nursing aid. The seven hundred and fifty dollars a

1119
01:00:29,760 --> 01:00:32,680
Speaker 1: month she would receive for three children will more than

1120
01:00:32,800 --> 01:00:35,640
Speaker 1: double a monthly income that consists only of food stamps

1121
01:00:35,640 --> 01:00:38,600
Speaker 1: and leaves her relying on a boyfriend right now. She says,

1122
01:00:38,600 --> 01:00:41,000
Speaker 1: I think it's a great idea. There's no jobs here,

1123
01:00:41,560 --> 01:00:43,720
Speaker 1: and while the money will help with rent, Miss Wilson

1124
01:00:43,720 --> 01:00:45,919
Speaker 1: said the biggest benefit would be the ability to send

1125
01:00:45,960 --> 01:00:50,200
Speaker 1: her kids to things like camps and school trips. She

1126
01:00:50,320 --> 01:00:53,840
Speaker 1: said kids get to bullying talking down on them, saying, oh,

1127
01:00:53,880 --> 01:00:57,440
Speaker 1: your mama don't have money. They feel like it's their fault,

1128
01:00:57,720 --> 01:01:01,000
Speaker 1: and you know, it just gets to to think about

1129
01:01:01,200 --> 01:01:03,520
Speaker 1: kids who are being bullied like that, who are struggling,

1130
01:01:03,520 --> 01:01:07,600
Speaker 1: who don't have, you know, these basic experiences of childhood,

1131
01:01:07,600 --> 01:01:09,520
Speaker 1: who have to worry about things like whether they're going

1132
01:01:09,600 --> 01:01:12,959
Speaker 1: to have enough to eat. And one of the things

1133
01:01:12,960 --> 01:01:15,520
Speaker 1: that's been encouraging in this is, yes, this was a

1134
01:01:15,520 --> 01:01:18,480
Speaker 1: Biden administration effort, but there are some Republicans who've been

1135
01:01:18,520 --> 01:01:21,600
Speaker 1: pushing in this direction to Mitt Romney in particular, had

1136
01:01:22,160 --> 01:01:26,160
Speaker 1: had a different plan, and this isn't revolutionary. This helps

1137
01:01:26,160 --> 01:01:28,720
Speaker 1: to get us closer to where most of the rest

1138
01:01:28,720 --> 01:01:32,640
Speaker 1: of the developed world is. And if we're not investing

1139
01:01:32,680 --> 01:01:35,280
Speaker 1: in our kids, like what are we doing? You know,

1140
01:01:35,320 --> 01:01:37,760
Speaker 1: if you take this sort of like heart and humanity

1141
01:01:37,800 --> 01:01:41,280
Speaker 1: out of it and think about just our trajectory as

1142
01:01:41,280 --> 01:01:45,240
Speaker 1: a nation, there is literally no better investment that you

1143
01:01:45,320 --> 01:01:49,720
Speaker 1: can make in our people than in childhood, in you know,

1144
01:01:49,760 --> 01:01:51,560
Speaker 1: in the early year, the better. That's what all the

1145
01:01:51,600 --> 01:01:54,000
Speaker 1: research shows, like, the more money you invest at the

1146
01:01:54,040 --> 01:01:57,120
Speaker 1: beginning of a child's life, the better off they're going

1147
01:01:57,200 --> 01:01:59,080
Speaker 1: to be for their entire life, and the more in

1148
01:01:59,120 --> 01:02:02,040
Speaker 1: a position they're going to be to contribute to society.

1149
01:02:02,880 --> 01:02:05,720
Speaker 1: We've also seen through these little trial runs of the

1150
01:02:05,720 --> 01:02:08,680
Speaker 1: stimulus checks that we had during the pandemic, We've seen

1151
01:02:08,720 --> 01:02:11,080
Speaker 1: the way that this has eased the burdens for our people.

1152
01:02:11,160 --> 01:02:14,360
Speaker 1: We've seen the massive impact that it's had on poverty.

1153
01:02:14,640 --> 01:02:16,560
Speaker 1: Here are some of the numbers. So among households with

1154
01:02:16,680 --> 01:02:20,840
Speaker 1: children after the stimulus checks, reports of food shortages fell

1155
01:02:20,880 --> 01:02:25,040
Speaker 1: forty two percent from January through April. Another broader gauge

1156
01:02:25,040 --> 01:02:28,680
Speaker 1: of financial instability fell forty three percent. Among all households,

1157
01:02:28,760 --> 01:02:33,640
Speaker 1: frequent anxiety and depression fell by more than twenty percent.

1158
01:02:34,160 --> 01:02:36,640
Speaker 1: And they say while the economic rebound other forms of aid,

1159
01:02:36,680 --> 01:02:40,040
Speaker 1: no doubt helped, the largest declines and measures of hardship

1160
01:02:40,040 --> 01:02:42,520
Speaker 1: coincided with the six hundred dollars checks that people got

1161
01:02:42,560 --> 01:02:45,520
Speaker 1: in January and the fourteen hundred dollars checks that mostly

1162
01:02:45,560 --> 01:02:49,280
Speaker 1: they got in April. When you give people money directly,

1163
01:02:49,800 --> 01:02:51,760
Speaker 1: this isn't this is the old tropa. Oh, they're going

1164
01:02:51,800 --> 01:02:55,920
Speaker 1: to spend it on booze or cigarettes or whatever. You know.

1165
01:02:56,080 --> 01:02:59,200
Speaker 1: The lobsters their like sneakers is the other one that

1166
01:02:59,200 --> 01:03:02,960
Speaker 1: you hear all the time, particularly in like a racialized context.

1167
01:03:03,280 --> 01:03:05,520
Speaker 1: But no, what we've seen from study after study in

1168
01:03:05,600 --> 01:03:08,080
Speaker 1: real world experience with these checks is people spend it

1169
01:03:08,120 --> 01:03:13,400
Speaker 1: on rent, on their electric bill, on food, on you know,

1170
01:03:13,520 --> 01:03:16,440
Speaker 1: closer experiences for their kids. They spend it on being

1171
01:03:16,520 --> 01:03:18,760
Speaker 1: able to like take a day off of their current

1172
01:03:18,840 --> 01:03:21,560
Speaker 1: miserable job and find something new that meets their skill

1173
01:03:21,600 --> 01:03:24,120
Speaker 1: set more is more fulfilling, or has a higher wage,

1174
01:03:24,200 --> 01:03:26,120
Speaker 1: or gives them more time to be with their kids,

1175
01:03:26,400 --> 01:03:30,120
Speaker 1: gives them that little tiny bit of power. And that's

1176
01:03:30,160 --> 01:03:32,080
Speaker 1: part of what we're seeing in the market right now

1177
01:03:32,200 --> 01:03:35,560
Speaker 1: is like, because people had even just this little bit

1178
01:03:35,600 --> 01:03:37,520
Speaker 1: of help during the pandemic and we're able to get

1179
01:03:37,560 --> 01:03:40,680
Speaker 1: just a tiny bit ahead, they've been able to leverage

1180
01:03:40,680 --> 01:03:44,280
Speaker 1: that into more power in the workplace. More. You know,

1181
01:03:44,320 --> 01:03:47,560
Speaker 1: the labor market for the first time has tilted ever

1182
01:03:47,680 --> 01:03:51,320
Speaker 1: so slightly back towards workers. That hasn't happened in like

1183
01:03:51,480 --> 01:03:55,240
Speaker 1: forty years. So look, I wish they would have made

1184
01:03:55,240 --> 01:03:58,080
Speaker 1: it permanent from the jump. I hope that you're correct

1185
01:03:58,480 --> 01:04:00,960
Speaker 1: that ultimately they're able to you know, this becomes so

1186
01:04:01,040 --> 01:04:03,880
Speaker 1: integral to people's lives and their budgets, and it's so supported,

1187
01:04:04,040 --> 01:04:06,080
Speaker 1: and I think the way they've structured it, where it's

1188
01:04:06,240 --> 01:04:09,800
Speaker 1: it's not completely universal, but it's it's most more or

1189
01:04:09,880 --> 01:04:13,880
Speaker 1: less a universal provision makes it much more likely that

1190
01:04:14,000 --> 01:04:18,439
Speaker 1: politically this will succeed and will disproportionately benefit the most

1191
01:04:18,440 --> 01:04:21,200
Speaker 1: disadvantaged people in the entire country, which would be by

1192
01:04:21,200 --> 01:04:24,000
Speaker 1: the way, poor children, Those are the most disadvantaged people

1193
01:04:24,000 --> 01:04:26,160
Speaker 1: in the entire country. I do want to give one warning,

1194
01:04:26,320 --> 01:04:30,000
Speaker 1: which is, look, we're entering a very strange economic period.

1195
01:04:30,360 --> 01:04:33,280
Speaker 1: The level of economic optimism is higher, has been as

1196
01:04:33,320 --> 01:04:35,200
Speaker 1: the highest has been since two thousand and five, if

1197
01:04:35,240 --> 01:04:38,400
Speaker 1: you can believe it. So welfare politics could easily come

1198
01:04:38,440 --> 01:04:40,400
Speaker 1: back in a big way, and I don't want people

1199
01:04:40,440 --> 01:04:42,680
Speaker 1: to have a false picture about how that might look like.

1200
01:04:43,080 --> 01:04:45,240
Speaker 1: And they actually quote somebody here in the story, a

1201
01:04:45,360 --> 01:04:47,680
Speaker 1: man mister Sulivin. He has four children. He's gotten by

1202
01:04:47,720 --> 01:04:50,560
Speaker 1: on unemployment insurance, food stamps and odd jobs. Could collect

1203
01:04:50,600 --> 01:04:53,200
Speaker 1: eleven fifty a month, but it is so skeptical of

1204
01:04:53,200 --> 01:04:55,680
Speaker 1: the program he went online to defer the payments and

1205
01:04:55,680 --> 01:04:58,600
Speaker 1: collect a lump sum payment next year. Otherwise, he fears

1206
01:04:58,640 --> 01:05:00,000
Speaker 1: if he finds work, you have to make the party

1207
01:05:00,120 --> 01:05:03,160
Speaker 1: with the money back he says, quote, government assistance is

1208
01:05:03,160 --> 01:05:05,240
Speaker 1: a form of slavery. Some people do need it, but

1209
01:05:05,240 --> 01:05:07,640
Speaker 1: then again there's people that are doing is living off

1210
01:05:07,760 --> 01:05:10,480
Speaker 1: the system. And same thing. There's another woman who's a

1211
01:05:10,480 --> 01:05:13,560
Speaker 1: low income parent. She describes the program as wasteful and

1212
01:05:13,640 --> 01:05:17,720
Speaker 1: counter productive, and she lives ninety minutes away from the

1213
01:05:17,760 --> 01:05:21,360
Speaker 1: person who you discuss. So don't underestimate the power of

1214
01:05:21,360 --> 01:05:24,120
Speaker 1: welfare politics. I'm telling you this could come back in

1215
01:05:24,160 --> 01:05:27,200
Speaker 1: a big, big way, and it could be actually a

1216
01:05:27,320 --> 01:05:30,280
Speaker 1: huge blow against the program. That's actually another thing we

1217
01:05:30,320 --> 01:05:34,120
Speaker 1: just frankly have to contend with. I saw unemployment insurance,

1218
01:05:34,120 --> 01:05:37,640
Speaker 1: for example, fifty two percent of Americans supported ending the

1219
01:05:37,720 --> 01:05:40,480
Speaker 1: extra unemployment plus up. Well, what I would say though,

1220
01:05:40,800 --> 01:05:43,760
Speaker 1: is that the programs that have been most successful and

1221
01:05:44,440 --> 01:05:47,800
Speaker 1: both most politically successful, they are a history, are universal.

1222
01:05:48,200 --> 01:05:51,760
Speaker 1: So that's why social Security and Medicare can touch. But

1223
01:05:51,800 --> 01:05:54,320
Speaker 1: we have to pay into third rail that's where things

1224
01:05:54,400 --> 01:05:58,600
Speaker 1: but they're universal programs. The way that welfare politics generally

1225
01:05:58,680 --> 01:06:03,120
Speaker 1: works is something becomes racialized or something becomes well, this

1226
01:06:03,160 --> 01:06:07,480
Speaker 1: is a benefit that is just for the undeserving poor. Typically,

1227
01:06:07,520 --> 01:06:09,600
Speaker 1: what we've seen through American history is when you have

1228
01:06:09,840 --> 01:06:13,800
Speaker 1: a benefit that is universally applied. More or less, it

1229
01:06:13,840 --> 01:06:16,680
Speaker 1: garners more political support because it just makes it harder

1230
01:06:16,720 --> 01:06:19,200
Speaker 1: to be like, oh, well, it's those bad poor people

1231
01:06:19,640 --> 01:06:21,920
Speaker 1: who are getting this, you know, the Ronald Reagan, the

1232
01:06:21,920 --> 01:06:26,560
Speaker 1: welfare Queen, the young bucks, Buyante mistakes. The middle class

1233
01:06:26,600 --> 01:06:28,800
Speaker 1: is getting this significantly, So I do think that helps

1234
01:06:28,840 --> 01:06:31,160
Speaker 1: a lot, getting that. But you know, I just want

1235
01:06:31,200 --> 01:06:33,360
Speaker 1: to put out there that this could be a yeah.

1236
01:06:33,360 --> 01:06:36,280
Speaker 1: I mean, welfare politics have been very powerful in American history,

1237
01:06:36,320 --> 01:06:39,120
Speaker 1: but I think it is somewhat protected against that because

1238
01:06:39,240 --> 01:06:42,160
Speaker 1: of the breadth of who is ultimately getting this. It

1239
01:06:42,200 --> 01:06:44,400
Speaker 1: makes it hard to be like, oh, it's those lazy

1240
01:06:44,440 --> 01:06:46,480
Speaker 1: people who don't deserve anything and just need to like

1241
01:06:46,520 --> 01:06:50,040
Speaker 1: bootstrap themselves up. We shall see hopefully. Wow, you guys

1242
01:06:50,120 --> 01:06:52,000
Speaker 1: must really like listening to our voices. Well, I know

1243
01:06:52,040 --> 01:06:54,000
Speaker 1: this is annoying instead of making you listen to a

1244
01:06:54,120 --> 01:06:57,080
Speaker 1: Viagra commercial. When you're done, check out the other podcast

1245
01:06:57,120 --> 01:06:59,440
Speaker 1: I do with Marshal Kassoff called The Realignment. We talk

1246
01:06:59,440 --> 01:07:02,320
Speaker 1: a lot about the deeper issues that are changing, realigning

1247
01:07:02,400 --> 01:07:05,000
Speaker 1: in American society. You always need more Crystal and Zag

1248
01:07:05,080 --> 01:07:07,680
Speaker 1: in your daily lives. Take care, guys, all right, Zago,

1249
01:07:07,680 --> 01:07:09,680
Speaker 1: what are you looking at? Well? We talk a lot

1250
01:07:09,680 --> 01:07:12,000
Speaker 1: here on the show about the detrimental effect that the

1251
01:07:12,000 --> 01:07:14,560
Speaker 1: culture war is having on our politics today. All of

1252
01:07:14,640 --> 01:07:17,040
Speaker 1: us can feel it when we interact online to how

1253
01:07:17,080 --> 01:07:19,920
Speaker 1: it bleeds into our personal lives and it hurts friendships,

1254
01:07:19,920 --> 01:07:24,160
Speaker 1: it offends feelings, uncomfortable conversations at Thanksgiving. Everybody knows what

1255
01:07:24,200 --> 01:07:27,640
Speaker 1: I'm talking about. It seems collectively we all lost our

1256
01:07:27,680 --> 01:07:30,520
Speaker 1: minds in the last several years. Part of the problem, though,

1257
01:07:30,560 --> 01:07:33,680
Speaker 1: seems to be this, where can we all agree that

1258
01:07:33,720 --> 01:07:36,479
Speaker 1: it sucks? We agree on that, but it doesn't seem

1259
01:07:36,480 --> 01:07:37,960
Speaker 1: to be a way out because at the end of

1260
01:07:38,000 --> 01:07:41,720
Speaker 1: the day, most people still feel like the other person

1261
01:07:42,000 --> 01:07:45,240
Speaker 1: is the aggressor responsible for the tenor of our politics,

1262
01:07:45,440 --> 01:07:47,680
Speaker 1: with no choice but to fight now. I find that

1263
01:07:47,800 --> 01:07:51,160
Speaker 1: question really interesting. Who is to blame for the culture

1264
01:07:51,200 --> 01:07:53,840
Speaker 1: war in its twenty twenty one form? There is a

1265
01:07:53,880 --> 01:07:57,040
Speaker 1: lot of blame to go around. There's some interesting new analysis, though,

1266
01:07:57,040 --> 01:07:59,720
Speaker 1: who tell us might be some of the biggest instigators.

1267
01:08:00,040 --> 01:08:02,960
Speaker 1: Blogger Kevin Drumm he lit the Internet on fire recently

1268
01:08:03,000 --> 01:08:05,680
Speaker 1: with some charts that he assembled. He glibly titled it

1269
01:08:05,880 --> 01:08:08,640
Speaker 1: if you hate the Culture war. Blame liberals now, before

1270
01:08:08,640 --> 01:08:11,440
Speaker 1: our liberal viewers get up in arms, consider this when

1271
01:08:11,480 --> 01:08:14,240
Speaker 1: Drum says liberals, who he's really referring to are a

1272
01:08:14,240 --> 01:08:19,120
Speaker 1: specific subset, the MSNBC, CNN, white, upper middle class person

1273
01:08:19,320 --> 01:08:21,879
Speaker 1: who likely went to a four year college degree institution

1274
01:08:22,200 --> 01:08:25,000
Speaker 1: and has a lot of power in American life. Drum

1275
01:08:25,040 --> 01:08:28,160
Speaker 1: demonstrates that, aside from same sex marriage, the share of

1276
01:08:28,240 --> 01:08:31,240
Speaker 1: partisans adopting a more partisan view since the year two

1277
01:08:31,240 --> 01:08:35,839
Speaker 1: thousand on issues like immigration, taxes, abortion, religion, and guns

1278
01:08:36,120 --> 01:08:39,960
Speaker 1: have nary moved at all on the Republican side, while

1279
01:08:40,080 --> 01:08:44,320
Speaker 1: skyrocketed on the Democratic side. In other words, people who

1280
01:08:44,439 --> 01:08:50,280
Speaker 1: overwhelmingly identify as partisan Democrats have become much more partisan

1281
01:08:50,360 --> 01:08:53,720
Speaker 1: Democrats in the last twenty one years. This chart, in

1282
01:08:53,760 --> 01:08:56,360
Speaker 1: particular is striking, which shows that on a partisan scale

1283
01:08:56,400 --> 01:08:59,639
Speaker 1: of one to ten, if you look at nineteen ninety four,

1284
01:08:59,840 --> 01:09:02,960
Speaker 1: the average Democrat was a five, the average Republican was

1285
01:09:03,000 --> 01:09:05,680
Speaker 1: a six. That seems consistent with the America that I

1286
01:09:05,720 --> 01:09:08,479
Speaker 1: grew up in in the nineteen nineties, but look at today.

1287
01:09:08,880 --> 01:09:12,400
Speaker 1: By twenty seventeen, the average Democrat was a two, while

1288
01:09:12,439 --> 01:09:15,040
Speaker 1: the average Republican was a six point five, So that

1289
01:09:15,120 --> 01:09:19,720
Speaker 1: shows between nineteen ninety four and twenty seventeen, consistent Democrats

1290
01:09:19,840 --> 01:09:23,160
Speaker 1: were three whole points more liberal than Republicans who became

1291
01:09:23,240 --> 01:09:26,080
Speaker 1: more conservative. Now that's pretty astounding, and yet it makes

1292
01:09:26,160 --> 01:09:28,840
Speaker 1: complete sense in the context of the twenty twenty election.

1293
01:09:29,280 --> 01:09:32,640
Speaker 1: Newly validated data from the Pew Research on people who

1294
01:09:32,800 --> 01:09:35,400
Speaker 1: voted in twenty twenty shows that twenty twenty was actually

1295
01:09:35,400 --> 01:09:38,599
Speaker 1: one of the most racially depolarized elections in modern history.

1296
01:09:38,920 --> 01:09:42,280
Speaker 1: Hispanic voters, particularly Hispanic men, gravitated to Trump, with the

1297
01:09:42,360 --> 01:09:45,360
Speaker 1: highest share of Hispanics who voted for Trump not holding

1298
01:09:45,720 --> 01:09:49,599
Speaker 1: not a college degree at forty one percent, nearly half

1299
01:09:49,760 --> 01:09:53,559
Speaker 1: at men, it's even higher. Biden, meanwhile, dramatically improved his

1300
01:09:53,600 --> 01:09:57,679
Speaker 1: position over Hillary with white men, especially those who hold

1301
01:09:57,760 --> 01:10:00,439
Speaker 1: a four year college degree. If you can't eve to

1302
01:10:00,479 --> 01:10:02,839
Speaker 1: see the pattern, I've said here on the show many times,

1303
01:10:03,000 --> 01:10:05,760
Speaker 1: the overwhelming dividing line in America today is did you

1304
01:10:05,840 --> 01:10:08,639
Speaker 1: go to college or not? If you did, you probably

1305
01:10:08,640 --> 01:10:12,759
Speaker 1: hold more doctrinaire attitudes on race, gender, abortion, and policing

1306
01:10:12,880 --> 01:10:14,960
Speaker 1: than people who didn't go to college. And as those

1307
01:10:14,960 --> 01:10:18,600
Speaker 1: college special flowers graduate and permeate all of our elite institutions,

1308
01:10:18,840 --> 01:10:22,559
Speaker 1: they have done many things. They've hijacked the Democratic Party

1309
01:10:22,600 --> 01:10:25,439
Speaker 1: away from its base of largely elderly black people and

1310
01:10:25,479 --> 01:10:29,400
Speaker 1: formerly white working class voters, while also hijacking every modern

1311
01:10:29,400 --> 01:10:32,280
Speaker 1: institution in American life. And the good news is, if

1312
01:10:32,280 --> 01:10:35,000
Speaker 1: there is one, is that there is an obvious lesson here.

1313
01:10:35,160 --> 01:10:39,240
Speaker 1: As Democratic data analyst David Shore has said at nauseum quote,

1314
01:10:39,280 --> 01:10:41,960
Speaker 1: we ended up in a situation where white liberals are

1315
01:10:42,000 --> 01:10:46,120
Speaker 1: more left wing than black and Hispanic Democrats on pretty

1316
01:10:46,160 --> 01:10:50,639
Speaker 1: pretty much every issue, taxes, healthcare policing, even on racial

1317
01:10:50,680 --> 01:10:54,639
Speaker 1: issues or various measures of racial resentment. So as white

1318
01:10:54,720 --> 01:10:58,320
Speaker 1: liberals increasingly define the party's image and messaging, that is

1319
01:10:58,360 --> 01:11:02,040
Speaker 1: going to turn off non white conservative Democrats and push

1320
01:11:02,080 --> 01:11:05,200
Speaker 1: them against us. He's speaking there as a Democratic strategist.

1321
01:11:05,479 --> 01:11:08,479
Speaker 1: The good news is that while white liberals run everything,

1322
01:11:08,720 --> 01:11:12,160
Speaker 1: they aren't a majority of the country. Racial depolarization in

1323
01:11:12,200 --> 01:11:15,360
Speaker 1: twenty twenty election shows that even a buffoon like Trump

1324
01:11:15,640 --> 01:11:19,400
Speaker 1: can come forty five thousand votes away from the presidency

1325
01:11:19,600 --> 01:11:22,439
Speaker 1: by just holding up a middle finger to them. White

1326
01:11:22,479 --> 01:11:26,680
Speaker 1: liberal cultural attitudes on race in particular are so overwhelmingly

1327
01:11:26,760 --> 01:11:29,840
Speaker 1: unpopular they turn off many of the voters that they

1328
01:11:29,960 --> 01:11:33,360
Speaker 1: purport to speak on behalf of and is unronically, in

1329
01:11:33,360 --> 01:11:36,559
Speaker 1: my opinion, a good thing because the vote is the

1330
01:11:36,560 --> 01:11:39,679
Speaker 1: one thing that these people do not control. Joe Biden's

1331
01:11:39,680 --> 01:11:43,559
Speaker 1: ascension to the presidency, the Democratic nomination Eric Adams's recent

1332
01:11:43,600 --> 01:11:46,559
Speaker 1: election as mayor high profile contests where these issues are

1333
01:11:46,600 --> 01:11:49,760
Speaker 1: smacked down by the very constituencies that white liberals claim

1334
01:11:49,800 --> 01:11:52,800
Speaker 1: to speak on behalf of is the real world corrective

1335
01:11:52,840 --> 01:11:56,560
Speaker 1: to our problems? Now? Notice I haven't said the Republicans

1336
01:11:56,560 --> 01:11:58,840
Speaker 1: are the only ones who can solve this. Frankly, I

1337
01:11:58,880 --> 01:12:02,519
Speaker 1: think they love this situation because they can harvest tens

1338
01:12:02,520 --> 01:12:06,759
Speaker 1: of millions of votes with opposition to cultural leftism without

1339
01:12:06,880 --> 01:12:10,000
Speaker 1: changing a damn thing in support for big business. But

1340
01:12:10,080 --> 01:12:12,879
Speaker 1: what it does do is it creates a gigantic opening.

1341
01:12:13,240 --> 01:12:16,200
Speaker 1: Look again at that graph I showed you on changing attitudes.

1342
01:12:16,720 --> 01:12:19,360
Speaker 1: It leaves all these people out who are in the

1343
01:12:19,400 --> 01:12:23,000
Speaker 1: middle of that graph millions. What you should take away

1344
01:12:23,240 --> 01:12:26,400
Speaker 1: is that people are not very partisan at all. Only

1345
01:12:26,520 --> 01:12:29,880
Speaker 1: partisans are. It's simply that we live in a system

1346
01:12:29,960 --> 01:12:32,840
Speaker 1: where the partisans are the people in charge of both

1347
01:12:32,840 --> 01:12:37,120
Speaker 1: the Republican and the Democratic primaries, whichever primary base Just

1348
01:12:37,120 --> 01:12:39,200
Speaker 1: so happens to kind of sort of be near issue

1349
01:12:39,200 --> 01:12:42,360
Speaker 1: to the center that party wins. That's no case strategy,

1350
01:12:42,479 --> 01:12:45,160
Speaker 1: but it doesn't actually lead to anything. So my hope

1351
01:12:45,200 --> 01:12:49,240
Speaker 1: is that the middle will prevail culturally, economically, and more

1352
01:12:49,320 --> 01:12:51,760
Speaker 1: because they've been shut out of the conversation and neglected

1353
01:12:51,920 --> 01:12:54,080
Speaker 1: for far, far too long. I thought this was a

1354
01:12:54,080 --> 01:12:57,040
Speaker 1: really interesting data set, Crystal. One more thing, I promise,

1355
01:12:57,400 --> 01:12:59,559
Speaker 1: just wanted to make sure you knew about my podcast

1356
01:12:59,600 --> 01:13:02,439
Speaker 1: with Kyle Kolinski. It's called Crystal, Kyle and Friends, where

1357
01:13:02,439 --> 01:13:05,240
Speaker 1: we do long form interviews with people like Noam Chomsky,

1358
01:13:05,320 --> 01:13:08,599
Speaker 1: Cornell West, and Glenn Greenwald. You can listen on any

1359
01:13:08,640 --> 01:13:12,040
Speaker 1: podcast platform, or you can subscribe over on substack to

1360
01:13:12,040 --> 01:13:14,040
Speaker 1: get the video a day early. We're going to stop

1361
01:13:14,080 --> 01:13:18,200
Speaker 1: bugging you now. Enjoy Crystal. What are you looking at today? Well?

1362
01:13:18,280 --> 01:13:21,480
Speaker 1: As protests broke out across Cuba, of course, American politicians

1363
01:13:21,680 --> 01:13:24,280
Speaker 1: and American media we're quick to jump into the fray,

1364
01:13:24,360 --> 01:13:28,120
Speaker 1: walking right up to that endorsing regime change line and

1365
01:13:28,240 --> 01:13:31,519
Speaker 1: sometimes jumping right on in. It's now almost ten pm

1366
01:13:31,560 --> 01:13:34,880
Speaker 1: Eastern time. It's now been over twelve hours since over

1367
01:13:34,920 --> 01:13:37,479
Speaker 1: thirty two cities in Cuba brave people have taken to

1368
01:13:37,520 --> 01:13:41,280
Speaker 1: the streets to protest against a communist Marxist evil tyranny,

1369
01:13:41,680 --> 01:13:44,040
Speaker 1: and so far, not a word, not a word, not

1370
01:13:44,120 --> 01:13:46,559
Speaker 1: a statement from Joe Biden, from the Vice President, from

1371
01:13:46,600 --> 01:13:49,880
Speaker 1: the White House, not a word. What is it so hard?

1372
01:13:49,880 --> 01:13:52,320
Speaker 1: Why is it so hard? Why is it so hard?

1373
01:13:52,360 --> 01:13:54,960
Speaker 1: Why are they so uncomfortable coming forward and just condemning

1374
01:13:55,000 --> 01:13:58,280
Speaker 1: this evil socialist Marxist regime. Well, first of all, I

1375
01:13:58,280 --> 01:14:00,880
Speaker 1: think America needs to understand that this is packs of America.

1376
01:14:01,640 --> 01:14:05,439
Speaker 1: You know, the Cuban dictatorship is you know, a drug

1377
01:14:05,520 --> 01:14:11,000
Speaker 1: trafficking dictatorship. They sponsor terrorism, and they may have also

1378
01:14:11,120 --> 01:14:14,639
Speaker 1: exported communism throughout the hemisphere and throughout the world. So

1379
01:14:14,680 --> 01:14:17,519
Speaker 1: it affects US interests. And that's something that I think

1380
01:14:17,560 --> 01:14:22,759
Speaker 1: sometimes is not emphasized enough how this affects US national

1381
01:14:22,760 --> 01:14:26,000
Speaker 1: security policy. And I think the US has to understand

1382
01:14:26,200 --> 01:14:29,479
Speaker 1: that these kinds of regimes that are enslaving not just Cubans,

1383
01:14:29,520 --> 01:14:33,519
Speaker 1: but Nicaraguans and Venezuelans and are involved in a variety

1384
01:14:33,520 --> 01:14:36,800
Speaker 1: of different places throughout the world, impact our sovereignty and

1385
01:14:36,840 --> 01:14:39,400
Speaker 1: our security. And so I think the US has a

1386
01:14:39,479 --> 01:14:42,320
Speaker 1: vested interests in a right to intervene on behalf of

1387
01:14:42,320 --> 01:14:45,160
Speaker 1: the Cuban people, but also on behalf of the United States.

1388
01:14:45,320 --> 01:14:47,519
Speaker 1: If we could find a way to add some freedom

1389
01:14:47,520 --> 01:14:51,000
Speaker 1: and democracy in Cuba and overthrow the last remnants of

1390
01:14:51,120 --> 01:14:55,320
Speaker 1: communism and the castros, this would have a ripple positive

1391
01:14:55,320 --> 01:15:01,040
Speaker 1: effect for the region. So in addition, Fernandez, the powerful

1392
01:15:01,080 --> 01:15:03,519
Speaker 1: chair of the Senate Foreign Relations Committee, tells us for

1393
01:15:03,640 --> 01:15:06,880
Speaker 1: decades Cuba's dictatorship has used violence and repression assailants it's

1394
01:15:06,880 --> 01:15:09,680
Speaker 1: people rather than permit the free exercise democracy and their

1395
01:15:09,720 --> 01:15:13,160
Speaker 1: basic social rights. This must end, going on to promise

1396
01:15:13,200 --> 01:15:15,120
Speaker 1: to use the force of his office to make sure

1397
01:15:15,120 --> 01:15:17,799
Speaker 1: the US stands in solidarity with the people of Cuba.

1398
01:15:18,160 --> 01:15:21,360
Speaker 1: Florida Comngressman and Senate hopeful Val Demings wrote in a

1399
01:15:21,560 --> 01:15:24,679
Speaker 1: rather unsettling tweet that America stands for freedom. We must

1400
01:15:24,680 --> 01:15:27,679
Speaker 1: stand with the peaceful demonstrators in Cuba. The White House

1401
01:15:27,800 --> 01:15:33,240
Speaker 1: must move swiftly, move swiftly to do what exactly now.

1402
01:15:33,280 --> 01:15:35,720
Speaker 1: If you come out and say what that something we

1403
01:15:35,800 --> 01:15:39,519
Speaker 1: must do immediately is But history provides a whole lot

1404
01:15:39,560 --> 01:15:41,760
Speaker 1: of bad examples of ways that the US helps to

1405
01:15:41,840 --> 01:15:45,639
Speaker 1: topple regimes and usher in quote unquote democracy, and last,

1406
01:15:45,680 --> 01:15:47,799
Speaker 1: but not least, the guy running the army and the CIA,

1407
01:15:47,880 --> 01:15:50,120
Speaker 1: that'd be Joe Biden, had this to say. We stand

1408
01:15:50,160 --> 01:15:52,400
Speaker 1: with the Cuban people and their clarion call for freedom

1409
01:15:52,439 --> 01:15:54,600
Speaker 1: and relief from the tragic grip of the pandemic and

1410
01:15:54,600 --> 01:15:57,320
Speaker 1: from the decades of repression and economic suffering to which

1411
01:15:57,320 --> 01:16:01,640
Speaker 1: they have been subjected by Cuba's authoritarium. All right, the

1412
01:16:01,680 --> 01:16:04,160
Speaker 1: few things to say to all of this. First of all,

1413
01:16:04,200 --> 01:16:06,559
Speaker 1: for all of those loudly screaming that we must do

1414
01:16:06,680 --> 01:16:10,160
Speaker 1: something to support the Cuban people, I completely agree. We

1415
01:16:10,200 --> 01:16:12,960
Speaker 1: should do the something that is directly in our power

1416
01:16:13,000 --> 01:16:16,800
Speaker 1: and purview, which is to immediately remove the brutal sanctions

1417
01:16:16,840 --> 01:16:20,360
Speaker 1: that have fueled shortages and are especially murdered during a pandemic.

1418
01:16:20,840 --> 01:16:24,559
Speaker 1: We could also do something by lifting vaccine patent protections

1419
01:16:24,560 --> 01:16:27,400
Speaker 1: and helping supply vaccines to Cuba and everywhere else in

1420
01:16:27,439 --> 01:16:30,320
Speaker 1: the world. By the way, after all, it sure does

1421
01:16:30,400 --> 01:16:32,599
Speaker 1: take a lot of nerve for these people to pretend

1422
01:16:32,640 --> 01:16:35,040
Speaker 1: to rend their garments in agony over the plight of

1423
01:16:35,080 --> 01:16:38,160
Speaker 1: the Cuban people when they're all directly complicit in the

1424
01:16:38,200 --> 01:16:41,040
Speaker 1: suffering of that nation. And oh, by the way. It

1425
01:16:41,160 --> 01:16:42,960
Speaker 1: is true, as some have pointed out, that the Cuban

1426
01:16:43,000 --> 01:16:46,040
Speaker 1: government uses the American sanctions to distract from any of

1427
01:16:46,080 --> 01:16:50,080
Speaker 1: their own domestic failings and repressive actions, so don't give

1428
01:16:50,080 --> 01:16:53,160
Speaker 1: them the excuse. Biden's calls for relief from the pandemic

1429
01:16:53,200 --> 01:16:57,160
Speaker 1: and economic suffering are particularly in raging given that he

1430
01:16:57,320 --> 01:17:01,519
Speaker 1: specifically has the power to act to Chavez points out,

1431
01:17:01,920 --> 01:17:05,000
Speaker 1: all of Trump's Cuba policies are still in place. President

1432
01:17:05,080 --> 01:17:07,479
Speaker 1: Biden could lift all two hundred and forty of the

1433
01:17:07,520 --> 01:17:10,960
Speaker 1: sanctions that Trump imposed to toughen a genocidal blockade at

1434
01:17:11,000 --> 01:17:14,759
Speaker 1: any moment with the swab of a pen, but he won't.

1435
01:17:15,880 --> 01:17:17,839
Speaker 1: So don't tell me you care about the Cuban people

1436
01:17:18,120 --> 01:17:21,880
Speaker 1: when the official policy of your administration is to make

1437
01:17:21,920 --> 01:17:24,519
Speaker 1: them as miserable as possible and pray and hope for

1438
01:17:24,600 --> 01:17:27,400
Speaker 1: regime change. In order to maintain the talking point that

1439
01:17:27,439 --> 01:17:30,120
Speaker 1: capitalism is the only way and socialism has never succeeded,

1440
01:17:30,280 --> 01:17:33,439
Speaker 1: it is incumbent on every administration since Eisenhower to do

1441
01:17:33,479 --> 01:17:35,800
Speaker 1: whatever it takes to guarantee that that is the case.

1442
01:17:36,200 --> 01:17:39,000
Speaker 1: Owen also to pretend that the examples of democratic socialism

1443
01:17:39,000 --> 01:17:42,080
Speaker 1: in the Scandinavian countries somehow don't count. There's another piece

1444
01:17:42,120 --> 01:17:44,679
Speaker 1: here that really also annoys me. So as we discussed,

1445
01:17:44,840 --> 01:17:46,960
Speaker 1: protest movements have been popping up all over the world

1446
01:17:47,000 --> 01:17:49,479
Speaker 1: for all sorts of different reasons. But the second anything

1447
01:17:49,520 --> 01:17:52,160
Speaker 1: happens in Cuba, well then it's wild wall media coverage

1448
01:17:52,160 --> 01:17:54,960
Speaker 1: and outrage politicians running to the nearest camera to demand

1449
01:17:54,960 --> 01:17:57,120
Speaker 1: that we stand with the people and take action in

1450
01:17:57,120 --> 01:18:00,320
Speaker 1: that America loves freedom, casual observer with I think that

1451
01:18:00,360 --> 01:18:02,920
Speaker 1: the only protests on the planet right now are happening

1452
01:18:02,920 --> 01:18:06,759
Speaker 1: in Cuba. Sadly, the reality is there are a lot

1453
01:18:06,920 --> 01:18:11,280
Speaker 1: of horrifically oppressed people all over the globe, yet somehow

1454
01:18:11,400 --> 01:18:13,880
Speaker 1: the only ones who the right and plenty of Democrats,

1455
01:18:13,880 --> 01:18:17,599
Speaker 1: by the way, seem to care about, are in Cuba, Venezuela, China,

1456
01:18:17,680 --> 01:18:19,920
Speaker 1: and a few other countries. Because the Cold War is

1457
01:18:20,080 --> 01:18:22,559
Speaker 1: literally never over, so as long as there is one

1458
01:18:22,680 --> 01:18:25,160
Speaker 1: US corporation, they can't do business in a single market

1459
01:18:25,160 --> 01:18:28,639
Speaker 1: in the world. Colombians have been protesting the neoliberal policies

1460
01:18:28,640 --> 01:18:30,720
Speaker 1: of their right wing government for months. We're met with

1461
01:18:30,760 --> 01:18:33,400
Speaker 1: government sponsored violence, but I didn't hear too much about

1462
01:18:33,439 --> 01:18:36,680
Speaker 1: that from our newfound freedom fighters. Ethiopia is in the

1463
01:18:36,680 --> 01:18:39,360
Speaker 1: middle of a whole ass civil war, with their repressive

1464
01:18:39,360 --> 01:18:43,280
Speaker 1: government attempting to exterminate an entire ethnic group. No one

1465
01:18:43,320 --> 01:18:46,479
Speaker 1: said a whole lot about that. The Haitian people nearly

1466
01:18:46,560 --> 01:18:50,080
Speaker 1: as geographically close to US as Cuba and impoverished by

1467
01:18:50,160 --> 01:18:53,200
Speaker 1: hundreds of years of exploitation in US factor gym change. There,

1468
01:18:53,560 --> 01:18:57,680
Speaker 1: they've been protesting against their now assassinated US backed authoritarian

1469
01:18:57,720 --> 01:19:00,200
Speaker 1: president for months, and none of y'all said a thing.

1470
01:19:00,880 --> 01:19:04,680
Speaker 1: Almost no US media outlets sent their considerable journalistic resources

1471
01:19:04,680 --> 01:19:07,360
Speaker 1: to find out what was going on in Haiti. I

1472
01:19:07,479 --> 01:19:09,519
Speaker 1: certainly didn't hear any of these calls to stand in

1473
01:19:09,520 --> 01:19:14,120
Speaker 1: solidarity with the Haitian people in their yearning for actual democracy.

1474
01:19:14,520 --> 01:19:18,840
Speaker 1: Marco Rubio, representing a state with a lot of Haitian Americans,

1475
01:19:18,920 --> 01:19:21,360
Speaker 1: certainly couldn't be bothered to comment, and we heard nothing

1476
01:19:21,400 --> 01:19:25,240
Speaker 1: but silence from any of these other Twitter based freedom fighters. Now,

1477
01:19:25,280 --> 01:19:28,280
Speaker 1: I know it's controversial to say, but I like Americans.

1478
01:19:28,439 --> 01:19:31,080
Speaker 1: I like the American people, and in my experience, there

1479
01:19:31,120 --> 01:19:34,639
Speaker 1: are a lot of good people here who genuinely believe

1480
01:19:34,760 --> 01:19:37,760
Speaker 1: in their own imperfect ways as we all are, in

1481
01:19:37,840 --> 01:19:41,479
Speaker 1: freedom from oppression and in free speech, and genuinely want

1482
01:19:41,520 --> 01:19:44,040
Speaker 1: to see human rights for people all around the world.

1483
01:19:44,439 --> 01:19:47,799
Speaker 1: A lot of Americans really believe in the stated values

1484
01:19:47,840 --> 01:19:51,840
Speaker 1: and aspirations of America, even as our government sometimes acts

1485
01:19:51,840 --> 01:19:55,679
Speaker 1: often acts counter to those principles, and frankly, it makes

1486
01:19:55,720 --> 01:19:59,600
Speaker 1: me sick to see the selective weaponization of this humanitarian

1487
01:19:59,640 --> 01:20:03,560
Speaker 1: imput to turn it off and on like a spigot

1488
01:20:03,800 --> 01:20:07,519
Speaker 1: in order to justify and serve as cover for actions that,

1489
01:20:07,600 --> 01:20:10,240
Speaker 1: if we're being honest, are really about in enriching elites,

1490
01:20:10,280 --> 01:20:12,879
Speaker 1: protecting corporate profits, and fighting for the right to exploit

1491
01:20:12,920 --> 01:20:16,360
Speaker 1: the resources and humanity of every single country on the planet,

1492
01:20:16,720 --> 01:20:19,800
Speaker 1: actions that end up creating more misery for the very

1493
01:20:19,840 --> 01:20:23,920
Speaker 1: people we pretend to be helping. The Cuban people do

1494
01:20:24,400 --> 01:20:29,799
Speaker 1: deserve freedom of the meaningful kind, liberation, relief from economic suffering,

1495
01:20:30,120 --> 01:20:32,960
Speaker 1: and if we actually cared about them, rather than setting

1496
01:20:33,000 --> 01:20:35,760
Speaker 1: out another tweet about how socialism is evil, we do

1497
01:20:35,840 --> 01:20:38,880
Speaker 1: what is actually in our control. We'd lift the sanctions

1498
01:20:38,920 --> 01:20:42,040
Speaker 1: and we'd help with vaccines. Until we do that, I

1499
01:20:42,080 --> 01:20:44,320
Speaker 1: don't want to hear one word from any of these

1500
01:20:44,360 --> 01:20:47,719
Speaker 1: fake humanitarians who only care about scoring a good talking

1501
01:20:47,760 --> 01:20:51,080
Speaker 1: point for their next cable news hit, and that is

1502
01:20:51,120 --> 01:20:53,760
Speaker 1: what discussed me, Sagar, the manipulation of the America. We

1503
01:20:53,960 --> 01:20:56,040
Speaker 1: are very pleased to be joined by the one and

1504
01:20:56,120 --> 01:20:58,400
Speaker 1: only David Sara. Of course, he is the founder and

1505
01:20:58,439 --> 01:21:01,080
Speaker 1: what do you call yourself? Editor in chief of Daily Poster,

1506
01:21:01,360 --> 01:21:03,479
Speaker 1: which you can find where do people find you, David?

1507
01:21:03,520 --> 01:21:08,120
Speaker 1: Go subscribe now Dailyposter dot com and link in the description.

1508
01:21:08,280 --> 01:21:10,599
Speaker 1: So there we go, as you are about to experience

1509
01:21:10,680 --> 01:21:13,519
Speaker 1: David as doing incredible journalism over there with a great

1510
01:21:13,520 --> 01:21:17,360
Speaker 1: team and uncovering stories that you know, expose the way

1511
01:21:17,400 --> 01:21:19,240
Speaker 1: power really works in this country. So if you care

1512
01:21:19,280 --> 01:21:21,960
Speaker 1: about that kind of thing, you should definitely subscribe. And

1513
01:21:21,960 --> 01:21:23,519
Speaker 1: if you don't care about that this sort of thing,

1514
01:21:23,600 --> 01:21:26,200
Speaker 1: I really don't know why you're watching this show anyway.

1515
01:21:27,040 --> 01:21:32,000
Speaker 1: Your latest scoop, David's really quite a bombshell about Susan Rice,

1516
01:21:32,000 --> 01:21:33,800
Speaker 1: So we can throw this up on the screen. So

1517
01:21:34,720 --> 01:21:39,280
Speaker 1: she stands to directly benefit from the construction of what

1518
01:21:39,360 --> 01:21:43,640
Speaker 1: is this like a top Tarzans pipeline that while the

1519
01:21:43,640 --> 01:21:46,479
Speaker 1: Biden administration got a lot of credit and a lot

1520
01:21:46,520 --> 01:21:50,520
Speaker 1: of applause for killing Keystone, they went ahead and greenlit

1521
01:21:50,600 --> 01:21:53,680
Speaker 1: this one and she really stands to personally benefit. Just

1522
01:21:53,720 --> 01:21:56,280
Speaker 1: break down for us what you found here right. So,

1523
01:21:56,320 --> 01:21:59,320
Speaker 1: Susan Rice is the domestic policy advisor, the top domestic

1524
01:21:59,360 --> 01:22:04,400
Speaker 1: policy bods for Joe Biden. She has a number of

1525
01:22:04,520 --> 01:22:08,040
Speaker 1: serious ownership stakes in major companies with business before the

1526
01:22:08,040 --> 01:22:11,519
Speaker 1: federal government. One of the stakes that she owns is

1527
01:22:11,560 --> 01:22:15,000
Speaker 1: a stake in a company called Enbridge. Enbridge is the

1528
01:22:15,040 --> 01:22:19,120
Speaker 1: company behind the Line three pipeline that is designed to

1529
01:22:19,160 --> 01:22:23,240
Speaker 1: bring Tar sans very dirty, particularly dirty oil down from

1530
01:22:23,280 --> 01:22:29,599
Speaker 1: Canada into the American market. The Biden administration recently, sort

1531
01:22:29,600 --> 01:22:33,959
Speaker 1: of over the objections of environmental groups and indigenous tribes,

1532
01:22:34,920 --> 01:22:39,799
Speaker 1: approved and backed the Line three pipeline, backed the Donald

1533
01:22:39,840 --> 01:22:44,640
Speaker 1: Trump policy of boosting that pipeline the construction of that pipeline.

1534
01:22:45,000 --> 01:22:48,599
Speaker 1: And Susan Rice owns, as i said, a major stake

1535
01:22:48,680 --> 01:22:53,479
Speaker 1: in the company that is behind that pipeline. So Susan Rice,

1536
01:22:53,960 --> 01:22:57,599
Speaker 1: while advising the White House on domestic policy, has been

1537
01:22:57,640 --> 01:23:00,760
Speaker 1: in the White House advising on domestic policy when the

1538
01:23:00,800 --> 01:23:05,479
Speaker 1: President and the administration made a decision boosting a company

1539
01:23:05,479 --> 01:23:08,280
Speaker 1: that she has an ownership stake in, and federal ethics

1540
01:23:08,320 --> 01:23:12,599
Speaker 1: regulators have now sounded the alarm we obtained a document

1541
01:23:13,040 --> 01:23:15,320
Speaker 1: from the Office of Government Ethics in which they are

1542
01:23:15,320 --> 01:23:20,160
Speaker 1: effectively instructing her to divest her holdings in Enbridge and

1543
01:23:20,680 --> 01:23:24,320
Speaker 1: a number of other companies who's worth right now in

1544
01:23:24,360 --> 01:23:27,559
Speaker 1: the public markets is about thirty to thirty one million dollars.

1545
01:23:27,600 --> 01:23:29,960
Speaker 1: So she has we have a situation where you have

1546
01:23:29,960 --> 01:23:33,599
Speaker 1: ethics regulators saying there is a serious problem here. Now,

1547
01:23:33,760 --> 01:23:36,800
Speaker 1: that wasn't mind blowing enough. The other part of this

1548
01:23:37,360 --> 01:23:40,320
Speaker 1: is what I've called the corruption deduction. And if you

1549
01:23:40,360 --> 01:23:45,480
Speaker 1: can believe this, that because the ethics regulators have flagged

1550
01:23:45,880 --> 01:23:49,160
Speaker 1: this as a conflict of interest, there is a special

1551
01:23:49,240 --> 01:23:52,960
Speaker 1: law on the books that allows government officials who have

1552
01:23:53,080 --> 01:23:57,280
Speaker 1: such conflicts of interests to cash out of the holdings

1553
01:23:57,680 --> 01:24:01,040
Speaker 1: and defer capital gains tax. In other words, they get

1554
01:24:01,080 --> 01:24:04,920
Speaker 1: a tax break if they have a corporate conflict of

1555
01:24:04,960 --> 01:24:08,280
Speaker 1: interest when they sell off the holdings. Now, the argument

1556
01:24:08,360 --> 01:24:11,840
Speaker 1: is is that they that's worthwhile, because that says that

1557
01:24:11,880 --> 01:24:14,559
Speaker 1: if the government forces you to divest your holdings, the

1558
01:24:14,600 --> 01:24:17,120
Speaker 1: government has to give you something. But I kind of

1559
01:24:17,160 --> 01:24:19,759
Speaker 1: look at it as like the federal government has created

1560
01:24:19,760 --> 01:24:25,320
Speaker 1: a special tax break for corporate conflicted government officials to

1561
01:24:25,960 --> 01:24:28,679
Speaker 1: benefit from that is stunning. David. I didn't know about

1562
01:24:28,680 --> 01:24:31,040
Speaker 1: the tax piece of it, And I want to reiterate

1563
01:24:31,280 --> 01:24:33,479
Speaker 1: the sums of money. We're not talking about a couple

1564
01:24:33,640 --> 01:24:36,680
Speaker 1: hundred grand thirty two that's a lifetime fortune, thirty two

1565
01:24:37,080 --> 01:24:39,760
Speaker 1: million dollars from more than three dozen companies and one

1566
01:24:39,840 --> 01:24:43,559
Speaker 1: index fund, and this pipeline alone is a windfall of

1567
01:24:43,640 --> 01:24:47,960
Speaker 1: two point seven million dollars worth of shares. And having

1568
01:24:48,000 --> 01:24:51,519
Speaker 1: direct conflicts of interest like this is not new. She's

1569
01:24:51,560 --> 01:24:54,080
Speaker 1: probably not the only person in the Biden administration, but

1570
01:24:54,640 --> 01:24:57,640
Speaker 1: it just goes to show how much confidence is undermined

1571
01:24:57,640 --> 01:24:59,960
Speaker 1: in the government, as you're saying. And not only does

1572
01:25:00,080 --> 01:25:01,920
Speaker 1: she you know, not only does she have it and

1573
01:25:01,960 --> 01:25:04,040
Speaker 1: has sell it now, but she's not going to pay

1574
01:25:04,080 --> 01:25:06,920
Speaker 1: taxes on it. And has she addressed this in any

1575
01:25:06,920 --> 01:25:10,479
Speaker 1: way David, No, the White House did not offer us

1576
01:25:10,520 --> 01:25:14,840
Speaker 1: any comment. She has not. I haven't seen her say

1577
01:25:15,000 --> 01:25:18,160
Speaker 1: much of anything about this. I mean, the amazing thing is,

1578
01:25:18,200 --> 01:25:20,759
Speaker 1: if you really think about it, is to go into

1579
01:25:20,840 --> 01:25:25,160
Speaker 1: that particular job where you are overseeing I want to

1580
01:25:25,240 --> 01:25:29,200
Speaker 1: underscore that overseeing the White House Domestic Policy Council, you're

1581
01:25:29,240 --> 01:25:34,439
Speaker 1: basically making policy on essentially everything domestic to go into

1582
01:25:34,479 --> 01:25:38,720
Speaker 1: that job with those holdings, not getting rid of those

1583
01:25:38,760 --> 01:25:41,400
Speaker 1: holdings even before you go into that job. I mean,

1584
01:25:41,400 --> 01:25:43,400
Speaker 1: it is just mind blowing. And look, there have been

1585
01:25:43,400 --> 01:25:45,360
Speaker 1: in the past, you know, Hank, this came up when

1586
01:25:45,400 --> 01:25:49,599
Speaker 1: Hank Paulson became Treasury Secretary, the use of the so

1587
01:25:49,640 --> 01:25:53,640
Speaker 1: called certificates of divestiture to defer millions of dollars of

1588
01:25:53,680 --> 01:25:56,200
Speaker 1: capital gains taxes. I mean, it is just a kind

1589
01:25:56,200 --> 01:25:58,839
Speaker 1: of mind blowing that on top of having a conflict

1590
01:25:58,880 --> 01:26:02,400
Speaker 1: of interest, you then get essentially financially rewarded for having it.

1591
01:26:02,880 --> 01:26:05,719
Speaker 1: How is this legal? Like, I mean seriously, for someone

1592
01:26:05,760 --> 01:26:09,479
Speaker 1: to have this blatant conflict of interest in you know,

1593
01:26:09,520 --> 01:26:12,679
Speaker 1: a policy area that you know, she could very well

1594
01:26:12,720 --> 01:26:18,840
Speaker 1: have advisory capacity, some power and jurisdiction over. How is

1595
01:26:18,840 --> 01:26:22,639
Speaker 1: this permitted? And how common is this? Well, I think

1596
01:26:22,680 --> 01:26:25,080
Speaker 1: it's I think it's quite common. I mean I'm not

1597
01:26:25,080 --> 01:26:27,720
Speaker 1: sure it's so common at the at the levels of

1598
01:26:27,760 --> 01:26:30,679
Speaker 1: holdings that we're talking about. And look, to be honest,

1599
01:26:30,720 --> 01:26:33,880
Speaker 1: the federal law we're talking about, this tax loophole, you

1600
01:26:33,920 --> 01:26:36,840
Speaker 1: could argue that it was designed to try to find

1601
01:26:37,920 --> 01:26:41,240
Speaker 1: a common ground here, a legitimate way to deal with

1602
01:26:41,280 --> 01:26:43,639
Speaker 1: this Hey, listen, if the government orders you to divest

1603
01:26:43,680 --> 01:26:46,760
Speaker 1: your stock, the government has to kind of give you

1604
01:26:46,840 --> 01:26:49,479
Speaker 1: something to make it easier for you. But in this case,

1605
01:26:49,520 --> 01:26:51,240
Speaker 1: and in the case of Hank Paulson and people with

1606
01:26:51,320 --> 01:26:54,520
Speaker 1: you know, tens hundreds of millions of dollars, it essentially

1607
01:26:55,000 --> 01:26:58,519
Speaker 1: offers them a way to evade the taxes that they

1608
01:26:58,560 --> 01:27:00,960
Speaker 1: would pay otherwise. In other words, I'm not saying Susan

1609
01:27:01,080 --> 01:27:03,880
Speaker 1: Rice did this, but if she had wanted to, if

1610
01:27:03,880 --> 01:27:06,160
Speaker 1: she had and she had previously been in government, let's

1611
01:27:06,160 --> 01:27:08,000
Speaker 1: remember that if she had wanted to, if she had

1612
01:27:08,000 --> 01:27:09,519
Speaker 1: thought through it said, hey, listen, I got a bunch

1613
01:27:09,520 --> 01:27:12,519
Speaker 1: of holdings here. I don't really want to pay capital

1614
01:27:12,520 --> 01:27:14,040
Speaker 1: gains taxes on this. I'm going to go back in

1615
01:27:14,040 --> 01:27:16,240
Speaker 1: the government. I'm going to get myself a nice job

1616
01:27:16,280 --> 01:27:18,080
Speaker 1: for a couple of years, and I'm going to get

1617
01:27:18,080 --> 01:27:20,240
Speaker 1: myself a certificate of divestiture. I'm going to get the

1618
01:27:20,280 --> 01:27:22,960
Speaker 1: ethics regulators to say there's a conflict of interest, and

1619
01:27:22,960 --> 01:27:25,400
Speaker 1: then boom, that means I now get to use this

1620
01:27:25,479 --> 01:27:28,400
Speaker 1: special law that nobody else gets to use that allows

1621
01:27:28,439 --> 01:27:31,879
Speaker 1: me to defer capital gains taxes way into the future.

1622
01:27:32,080 --> 01:27:34,240
Speaker 1: It also just it seems like the damage is already

1623
01:27:34,240 --> 01:27:36,360
Speaker 1: done because you had the conflict of interest when the

1624
01:27:36,400 --> 01:27:39,640
Speaker 1: decision about the permit was made, and I'm sure the

1625
01:27:39,680 --> 01:27:42,920
Speaker 1: stock jumped on the news that this permit was going through,

1626
01:27:43,000 --> 01:27:45,719
Speaker 1: and so now she gets to divest at the higher

1627
01:27:45,720 --> 01:27:48,000
Speaker 1: stock price. So it seems to me like in a

1628
01:27:48,000 --> 01:27:50,679
Speaker 1: lot of ways, the damage here has already been done. David.

1629
01:27:50,680 --> 01:27:52,320
Speaker 1: I also wanted to get you to break down though,

1630
01:27:52,320 --> 01:27:56,240
Speaker 1: for is another incredibly important story that I know you've

1631
01:27:56,280 --> 01:27:59,800
Speaker 1: been working for a long time on, which is how

1632
01:28:00,080 --> 01:28:04,480
Speaker 1: workers are being forced to fund the war on themselves.

1633
01:28:04,960 --> 01:28:07,880
Speaker 1: And this is happening through these pension funds where there's

1634
01:28:07,880 --> 01:28:11,360
Speaker 1: all kinds of incentives to rather than just going for

1635
01:28:11,400 --> 01:28:15,880
Speaker 1: the kind of like normal, boring, solid safe returns, there's

1636
01:28:15,920 --> 01:28:21,360
Speaker 1: incentives to get into all of these more exotic, elaborate

1637
01:28:21,800 --> 01:28:27,360
Speaker 1: type of financial instruments that have actually don't provide a

1638
01:28:27,400 --> 01:28:30,800
Speaker 1: better return, they're just way riskier, but they come along

1639
01:28:30,840 --> 01:28:35,760
Speaker 1: with these gigantic fees. So using worker money to prop

1640
01:28:35,880 --> 01:28:39,080
Speaker 1: up these Wall Street firms. Talk to us about what

1641
01:28:39,160 --> 01:28:42,559
Speaker 1: you found here and what's going on. Sure, I think

1642
01:28:42,640 --> 01:28:46,400
Speaker 1: a lot of people don't understand that the richest, most

1643
01:28:46,479 --> 01:28:52,640
Speaker 1: powerful people in this country are effectively funded by teachers, firefighters,

1644
01:28:52,680 --> 01:28:58,120
Speaker 1: sanitation workers, and other government workers through enormous public pension systems.

1645
01:28:58,240 --> 01:29:00,920
Speaker 1: There's right now, there's about five trillion dollar in public

1646
01:29:00,960 --> 01:29:05,559
Speaker 1: pension systems. Every couple weeks the government workers put in

1647
01:29:05,640 --> 01:29:09,000
Speaker 1: money into their pension systems to save for retirement. The

1648
01:29:09,120 --> 01:29:11,479
Speaker 1: question then becomes, well, what is done with all that money?

1649
01:29:11,479 --> 01:29:13,559
Speaker 1: Because it's a lot of money, and as we've seen

1650
01:29:13,600 --> 01:29:16,439
Speaker 1: over the last ten, fifteen to twenty years, a larger

1651
01:29:16,479 --> 01:29:19,160
Speaker 1: and larger share of that money is not going into

1652
01:29:19,280 --> 01:29:22,799
Speaker 1: basic plane vanilla investments like a Vanguard fund, a stock

1653
01:29:22,840 --> 01:29:26,800
Speaker 1: index fund. It is going into so called alternative investments,

1654
01:29:26,800 --> 01:29:29,919
Speaker 1: and that's a fancy word or fancy term for private equity,

1655
01:29:30,200 --> 01:29:34,240
Speaker 1: hedge funds, real estate, all sorts of exotic investments. Now

1656
01:29:34,560 --> 01:29:37,120
Speaker 1: you could argue that that's a good deal for the

1657
01:29:37,160 --> 01:29:41,640
Speaker 1: workers if those exotic investments were delivering outsized returns to

1658
01:29:41,720 --> 01:29:45,160
Speaker 1: beat the market, but that's not what has been happening.

1659
01:29:45,400 --> 01:29:48,960
Speaker 1: Pension funds have largely been trailing the market in many

1660
01:29:49,000 --> 01:29:51,160
Speaker 1: ways as they've invested more and more of this money

1661
01:29:51,160 --> 01:29:53,559
Speaker 1: in these investments. And the part of the reason why

1662
01:29:53,600 --> 01:29:58,160
Speaker 1: these investments don't deliver outsized returns is because they charge,

1663
01:29:58,240 --> 01:30:01,960
Speaker 1: as you allude to, such in enormously high fees the

1664
01:30:02,000 --> 01:30:04,280
Speaker 1: two and twenty fee models, what it's called two percent

1665
01:30:04,360 --> 01:30:08,000
Speaker 1: management fee, and then twenty percent of the profits off

1666
01:30:08,040 --> 01:30:11,320
Speaker 1: of the investment go to private equity firms. So this

1667
01:30:11,439 --> 01:30:14,280
Speaker 1: is and by the way, a lot of the billionaires

1668
01:30:14,280 --> 01:30:16,599
Speaker 1: who own private equity firms then use the so called

1669
01:30:16,640 --> 01:30:20,400
Speaker 1: carried interest tax loophole to classify the earnings they're making

1670
01:30:20,439 --> 01:30:24,000
Speaker 1: off of workers money at a lower effective tax rate

1671
01:30:24,040 --> 01:30:26,800
Speaker 1: than everyone else in the economy pays. So you have

1672
01:30:26,840 --> 01:30:33,440
Speaker 1: a situation where workers money is essentially funding the economic inequality.

1673
01:30:33,600 --> 01:30:36,320
Speaker 1: And by the way, the investments themselves, many of the

1674
01:30:36,360 --> 01:30:39,479
Speaker 1: investments themselves are the kinds of investments that aren't good

1675
01:30:39,680 --> 01:30:41,760
Speaker 1: for workers, right. I mean, you've got worker money funding

1676
01:30:41,800 --> 01:30:44,479
Speaker 1: a private equity industry that has become famous for driving

1677
01:30:44,560 --> 01:30:49,600
Speaker 1: down wages, famous for mass layoffs, famous for behind the

1678
01:30:49,640 --> 01:30:54,960
Speaker 1: surprise billing scandal in the United States, behind the healthcare crisis.

1679
01:30:55,080 --> 01:30:58,519
Speaker 1: So you have workers money that is effectively financing all

1680
01:30:58,600 --> 01:31:00,679
Speaker 1: of this, and by the way, financing of the fossil

1681
01:31:00,680 --> 01:31:03,080
Speaker 1: fuel industry. A lot of this money is going into

1682
01:31:03,200 --> 01:31:06,120
Speaker 1: the fossil fuel industry that's creating the climate crisis. So

1683
01:31:06,160 --> 01:31:08,280
Speaker 1: what we need to understand is then we asked the question, well,

1684
01:31:08,280 --> 01:31:11,400
Speaker 1: why is this money going into these high fee investments

1685
01:31:11,439 --> 01:31:14,720
Speaker 1: if they're not delivering good returns for workers, what would

1686
01:31:14,760 --> 01:31:17,799
Speaker 1: be the reason for that. Well, the politicians who appoint

1687
01:31:18,280 --> 01:31:22,200
Speaker 1: the people who direct the pension money. Those politicians guess what,

1688
01:31:22,560 --> 01:31:24,960
Speaker 1: they get lots of money from Wall Street firms. They

1689
01:31:24,960 --> 01:31:28,880
Speaker 1: get they're very closely connected to the donor class that

1690
01:31:29,080 --> 01:31:31,200
Speaker 1: is making a huge amount of money on this And

1691
01:31:31,240 --> 01:31:33,479
Speaker 1: again we're talking We're not talking about, you know, a

1692
01:31:33,520 --> 01:31:35,240
Speaker 1: couple million bucks here, We're not talking about a couple

1693
01:31:35,240 --> 01:31:38,519
Speaker 1: of billion dollars here, We're talking about a five trillion

1694
01:31:38,640 --> 01:31:41,120
Speaker 1: dollar pool of money. And as I always say, you know,

1695
01:31:41,160 --> 01:31:43,120
Speaker 1: some people their eyes glaze over when they hear the

1696
01:31:43,160 --> 01:31:46,320
Speaker 1: word pension. You know, who really cares about pensions? Maybe

1697
01:31:46,360 --> 01:31:48,880
Speaker 1: you know a lot of viewers listeners listening to this.

1698
01:31:49,120 --> 01:31:50,680
Speaker 1: You know, I don't really care about pensions. You know

1699
01:31:50,680 --> 01:31:53,400
Speaker 1: who cares about pensions A handful of the richest and

1700
01:31:53,439 --> 01:31:56,880
Speaker 1: most powerful people in the world. No, absolutely right, David.

1701
01:31:57,040 --> 01:31:58,960
Speaker 1: You're the only person who does work like this and

1702
01:31:59,040 --> 01:32:00,720
Speaker 1: goes through the term she and all of that and

1703
01:32:00,720 --> 01:32:02,400
Speaker 1: puts it into a way that we can understand. So

1704
01:32:02,479 --> 01:32:05,360
Speaker 1: I really encourage people to go and encourage to subscribe

1705
01:32:05,680 --> 01:32:07,719
Speaker 1: to the daily poster. Like I said, link is down

1706
01:32:07,760 --> 01:32:10,040
Speaker 1: there in the description, and we rely on your work

1707
01:32:10,080 --> 01:32:11,760
Speaker 1: for our show all the time. So thank you man,

1708
01:32:11,800 --> 01:32:13,840
Speaker 1: We really appreciate it. Thanks David, great to see you,

1709
01:32:13,920 --> 01:32:17,280
Speaker 1: Thank you, Thank you both. You're very welcome. Thanks everybody

1710
01:32:17,280 --> 01:32:18,880
Speaker 1: for watching. We really appreciate it. You can become a

1711
01:32:18,880 --> 01:32:21,639
Speaker 1: premium subscriber today, get the show in our early listen

1712
01:32:21,720 --> 01:32:23,439
Speaker 1: to it. All of that. You guys know the drill

1713
01:32:23,680 --> 01:32:26,960
Speaker 1: lifetime members. We've been talking with a metallurgist. So that

1714
01:32:27,000 --> 01:32:30,640
Speaker 1: beautiful desk is good happening soon, very soon. It's going

1715
01:32:30,720 --> 01:32:33,040
Speaker 1: to be a lot of fun. We appreciate all of you.

1716
01:32:33,080 --> 01:32:34,720
Speaker 1: If you guys want to check all that out, link

1717
01:32:34,800 --> 01:32:37,320
Speaker 1: is down in the description for premium, etc. You can

1718
01:32:37,360 --> 01:32:39,559
Speaker 1: support our work here. We really appreciate it, and we

1719
01:32:39,600 --> 01:32:41,559
Speaker 1: love you and we'll see you on Thursday. Thanks guys,

1720
01:32:41,600 --> 01:32:59,360
Speaker 1: see you Thursday. Thanks for listening to the show. Guys,

1721
01:32:59,400 --> 01:33:02,120
Speaker 1: wereciate it. To help other people find the show, go

1722
01:33:02,120 --> 01:33:04,360
Speaker 1: ahead and leave us a five star rating on Apple

1723
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Speaker 1: Podcasts or Wherever you get your podcasts really helps other

1724
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Speaker 1: people find the show as always special. Thank you to

1725
01:33:11,400 --> 01:33:14,519
Speaker 1: Supercast for powering our premium membership. If you want to

1726
01:33:14,560 --> 01:33:17,519
Speaker 1: find out more, go to Crystalansager dot com