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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: of dollars doing it. To help support our mission of

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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 Monday. We have an amazing show for everybody today

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Speaker 1: when we have Crystal. Indeed, we do might be a

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Speaker 1: holiday week, guys, but a lot of really big stories

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Speaker 1: actually unfolding right now. Big updates with regard to Amicron,

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Speaker 1: both the caseload, the hospitalization numbers, but also some dubious

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Speaker 1: ways that people are responding to it. So we'll bring

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Speaker 1: you all of that. Some more terrible news frankly on

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Speaker 1: the fight against addiction. Fentanel has now become the leading

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Speaker 1: cause of death for a broad swath of Americans, even

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Speaker 1: during the pandemic, which is quite astonishing, So we'll talk

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Speaker 1: to you about that. Kamala had quite a moment with

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Speaker 1: Charlott Magne, the God. This guy is amazing. I love him. Yeah,

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Speaker 1: he just doesn't care. He is amazing, and I don't

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Speaker 1: think it's an accident that someone who's not technically a

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Speaker 1: journalist is the one who he doesn't care about access.

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Speaker 1: He's not part of the club. So we actually ask

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Speaker 1: difficult questions. Very revealing moment there. We'll update for you

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Speaker 1: on January sixth and who some of the still unindicted

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Speaker 1: people were, who were central to what happened on that day.

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Speaker 1: Why are they still unindicted? Some new information there. Derek

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Speaker 1: Thompson is on He's got a new podcast, really interesting stuff.

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Speaker 1: His latest two episodes. You just did one on the

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Speaker 1: wrap of the Fhara Nose Elizabeth Holmes trial, which I

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Speaker 1: highly recommend to you because I at least am totally

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Speaker 1: fascinated by that case. We're going to talk to him

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Speaker 1: today about Elon Musk being Time Person of the Year,

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Speaker 1: the pros, the cons, how he sees all of that.

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Speaker 1: But we have to start with the big news coming

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Speaker 1: out of Washington this morning, which is effectively, Joe Manchin

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Speaker 1: has just put a stake in the heart of the

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Speaker 1: Biden presidency. He came out on Sunday and effectively a

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Speaker 1: big surprise to the White House, said he is a

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Speaker 1: no on Build back Better. Let's take a listen to that.

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Speaker 1: I've always said this, Brett. If I can't go home

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Speaker 1: and explain it to the people of West Virginia, I

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Speaker 1: can't vote for it, and I cannot vote to continue

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Speaker 1: with this piece of legislation. I just can't. I've tried

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Speaker 1: everything humanly possible. I can't get there. You're done. This

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Speaker 1: is this is a no. This is a no on

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Speaker 1: this legislation. I have tried everything I know to do,

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Speaker 1: and the President has worked diligently. He's been wonderful to

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Speaker 1: work with. He knows I've had concerns and the problems

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Speaker 1: I've had. Wow, we've been predicting this outcome quite a while.

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Speaker 1: Not a huge surprise to us. Not a huge surprise,

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Speaker 1: I think, to the handful of Squad members who voted

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Speaker 1: against the infrastructure package, understanding that Listen, industry wanted the

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Speaker 1: infrastructure package, they did not want build back Better. And

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Speaker 1: that's really all you need to understand to get how

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Speaker 1: this how and why this played out. Mansion also put out,

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Speaker 1: you know, a long written statement which didn't say a

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Speaker 1: whole lot. It was like, oh, I can't explain this

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Speaker 1: to people back home in West Virginia. Concerns about inflation,

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Speaker 1: concerns about the debt. Of course, none of these concerns

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Speaker 1: seemed to weigh on his mind when he's voting for

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Speaker 1: massive defense bills or any of that. But what this

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Speaker 1: really comes down to is the fact that a lot

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Speaker 1: of corporate folks and a lot of rich folks did

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Speaker 1: not like build back Better. They found Mansion as a

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Speaker 1: perfect tool to ultimately kill this, and so the thing

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Speaker 1: that we thought was going to happen all along actually happened.

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Speaker 1: The White House is seemingly completely outraged. I guess they

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Speaker 1: actually bought this guy at his word. Let's go ahead

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Speaker 1: and throw their statement up on the screen. This is

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Speaker 1: from Twitter. Obviously you can't read it all there on

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Speaker 1: the side, but let me read a little bit to you.

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Speaker 1: They said, this is scathing, I mean, especially coming from

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Speaker 1: this White House and how nice they've played with Mansion

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Speaker 1: and everybody else basically in the House, in the Senate.

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Speaker 1: Sarah Manchon's comments this morning on Fox are at odds

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Speaker 1: with his discussions this week with the President, with White

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Speaker 1: House staff, and with his own public utterances weeks ago,

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Speaker 1: Senter Mansion committed to the President at his home in Wilmington,

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Speaker 1: so make it very personal there to support the Build

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Speaker 1: Back Better framework that the President and then subsequently announced.

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Speaker 1: Enter Mansion pledge repeatedly to negotiate on finalizing that framework

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Speaker 1: in good faith. They continue later on in the statement

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Speaker 1: to say center Mansion will have to explain to those

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Speaker 1: families paying one thousand dollars a month for insulin why

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Speaker 1: they need to keep paying that instead of thirty five

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Speaker 1: dollars for that vital medicine. He will have to explain

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Speaker 1: to the nearly two million women who would get the

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Speaker 1: affordable daycare that they need to return to work. Why

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Speaker 1: he opposes a plan to get them the help that

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Speaker 1: they need. Maybe Senator Mansion can explain to the millions

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Speaker 1: of children who've been lifted out in poverty in part

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Speaker 1: due the Child Tax Credit, why he wants to end

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Speaker 1: a program that is helping to achieve this milestone. We

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Speaker 1: cannot couple other little details here. Number one, we learned

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Speaker 1: that apparently the White House just got a heads up, yeah,

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Speaker 1: thirty minutes right before. And it wasn't even Mansion who called.

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Speaker 1: He had one of his staffers call the White House

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Speaker 1: to give them a heads up thirty minutes before. That

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Speaker 1: is extremely cold, which I think helps explain why the

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Speaker 1: statement is so scathing. The other thing that we're just

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Speaker 1: learning this morning is Schumer is still planning to hold

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Speaker 1: a vote on Build Back Better, even knowing that it

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Speaker 1: will fail, because they want to get everybody on the record.

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Speaker 1: Is that really a problem for Joe Manchin No, because politics, listen,

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Speaker 1: if you go through each one of these things, they

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Speaker 1: help West Virginians, and they're popular in West Virginia. But

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Speaker 1: because our politics are so tribal, just the appearance of

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Speaker 1: opposing the Democrats is a great political boon and winner

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Speaker 1: for him in West Virginia, and that's a sad state

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Speaker 1: of Yeah, that's right. If you test each piece individually,

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Speaker 1: people say, oh, yeah, I support that. But if you say,

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Speaker 1: do you want Mansion to vote for Build back Better,

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Speaker 1: it's almost like seven to three or some in terms

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Speaker 1: of what the polling actually is in the state of

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Speaker 1: West Virginia. And that's the problem for Biden. I keep

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Speaker 1: coming back to him. Yes, you're right, Joe Manchin. I mean,

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Speaker 1: he's got one of the most boomer ideologies that I've

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Speaker 1: ever encountered. He put in his statement that he quoted

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Speaker 1: Admiral Mike Mullins saying that our national debt is one

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Speaker 1: of the greatest crises that we face as a we

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Speaker 1: face as a country. This is something that Liz Cheney

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Speaker 1: also believes, who is famous for some but with the

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Speaker 1: gigantic carbount for anything regarding the military force, which is

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Speaker 1: always the serical hilarious. But anyway, I digress. The point

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Speaker 1: to me is that Biden is one of the weakest

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Speaker 1: presidents that I've ever seen. Joe Manchin refused his call

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Speaker 1: right before he went on Fox News. Mansion knew exactly

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Speaker 1: what was doing. He went on Fox specifically to make

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Speaker 1: this announcement to target to the more conservative voters and

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Speaker 1: to stand up and say, look, I'm standing up against

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Speaker 1: Joe Biden. If Joe Biden was actually popular, it would

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Speaker 1: be much more difficult for Joe Manchin to be posturing

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Speaker 1: in this way. Same with Kirsten Cinema, who, from what

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Speaker 1: I understand, is also not a yes on this bill either.

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Speaker 1: Mansion is also getting all of the He's basically getting

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Speaker 1: all the flat but there's several other people in the

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Speaker 1: caucus who quietly are very happy with him for taking

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Speaker 1: the heat. So I just think this is a total

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Speaker 1: reflection of the national sentiment. Biden has zero power, zero

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Speaker 1: political capital. All any swing state senator has right now

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Speaker 1: is to be seen as standing up against him for

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Speaker 1: these purposes. As he said, look, politics is tribal, but

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Speaker 1: Biden at the same time is a complete failure. I mean,

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Speaker 1: we're going to be talking about omicron where the national

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Speaker 1: mood is completely souring on his leadership and pointing at

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Speaker 1: them and saying, what the hell have you guys been doing?

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Speaker 1: And that translate, as we know, to legislation, which is

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Speaker 1: that Trump. We saw this repeatedly at the very top

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Speaker 1: of his presidency. The most amount of political capital is

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Speaker 1: when you have the ability in order to push real legislation.

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Speaker 1: The more unpopular become, the more you get kind of

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Speaker 1: laid in the morass of Washington, especially, It's very easy

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Speaker 1: for people within your own party to be like, yeah,

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Speaker 1: I'm not going to do that and also face absolutely

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Speaker 1: no consequences. So Biden gave the corporate people an opening

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Speaker 1: in order to oppose him and also appear politically popular.

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Speaker 1: So ultimately, I think he bears the ultimate responsibility, absolutely absolutely.

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Speaker 1: And as we've tracked from the beginning, I mean, there

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Speaker 1: were massive tactical and strategic failures from the very very beginning.

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Speaker 1: He never really went out there and sold any of

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Speaker 1: this to American people. Instead, you had a situation, okay,

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Speaker 1: you start with, you know the plan that Bernie lays

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Speaker 1: out every week, some popular provision of it gets shot

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Speaker 1: in the head by the end. By the time you

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Speaker 1: got to Mansion saying no, I mean, this thing was

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Speaker 1: a shadow of its former self. Even the pieces that

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Speaker 1: they tout, like universal pre K and the childcare, the

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Speaker 1: childcare substies, those things are wildly less than what they're

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Speaker 1: even selling it as. I mean, the universal pre K

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Speaker 1: isn't anywhere close to universal to the state program, and

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Speaker 1: so that also means that you didn't have, you know,

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Speaker 1: a huge sort of grassroots to push in the public

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Speaker 1: to get this thing through either because I think, honestly,

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Speaker 1: you know, we talk about, okay, who supports it, who

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Speaker 1: opposes it in West Virginia or across the country, et cetera. Honestly,

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Speaker 1: the most important number with regards to Build Back Better

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Speaker 1: is how many people don't have a freaking clue what

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Speaker 1: it is or what's in it. No national investment in

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Speaker 1: this thing. I saw that. I think it was Nate

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Speaker 1: Silver who pointed out out that back when the Affordable

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Speaker 1: Care Acts is being debated, the Google search for affordable

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Speaker 1: character was way higher than what Build Back Better is,

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Speaker 1: which speaks again to a week president who isn't selling

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Speaker 1: the plan, who wasn't making it difficult for people like

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Speaker 1: Joe Manchin or Kirson Cinema to oppose this thing. They

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Speaker 1: get a win win, they get to serve their donors,

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Speaker 1: and they get a political win out of it because

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Speaker 1: they're you know, opposing an unpopular president and the details

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Speaker 1: ultimately and the things sadly don't matter. Probably maybe The

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Speaker 1: biggest loss here is the fact that the child tax

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Speaker 1: Credit is going to expire, and that has you know,

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Speaker 1: that has legitimately lifted millions of kids out of poverty.

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Speaker 1: It's something that you know, a lot of Republicans actually

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Speaker 1: are interested in as well in terms of helping to

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Speaker 1: support and encourage family creation. So that's going to die

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Speaker 1: at the end of the year here. And then you

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Speaker 1: look at even if you, okay, even if you say,

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Speaker 1: all right, it's really difficult. It's fifty to fifty in

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Speaker 1: the Senate, it's a really narrow majority in the House.

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Speaker 1: So this was just this was too much, too far,

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Speaker 1: too fast, et cetera, et cetera. There are a lot

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Speaker 1: of things that Biden can do on his own that

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Speaker 1: he just hasn't decided that he wants to do. So

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Speaker 1: it's tactical failure after tactical failure after tactical failure. If

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Speaker 1: you're gonna go against the corporate establishment, you have to

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Speaker 1: be aggressive. You have to use every tool in your toolkit.

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Speaker 1: You have to be willing to put it all on

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Speaker 1: the line. And he was never willing to do that.

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Speaker 1: And that's why I say, ultimately, you know, we aren't

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Speaker 1: surprised by this. It's sort of the expected outcome. When

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Speaker 1: you're not willing to take on those corporate and wealthy

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Speaker 1: interests head on, they're gonna win. And they got exact.

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Speaker 1: This was exactly what they wanted. They wanted the infrastructure bill,

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Speaker 1: and they wanted to kill this thing. That was the

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Speaker 1: game from the beginning. When Pelosi and the others went

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Speaker 1: along with Josh Kotttheimer's strategy of let's go ahead and

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Speaker 1: put the infrastructure bill on the floor and the Progressive

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Speaker 1: Caucus folded with the accept of a very few members,

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Speaker 1: what was it for members of the squad that basically

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Speaker 1: voted against it? That was it. That was effectively game over,

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Speaker 1: and we knew it at the time. Obviously, Senator Sanders

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Speaker 1: is not happy with this change of events. So let's

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Speaker 1: take a listen to what he had to say. You

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Speaker 1: know what's going on now, Jake in Washington, is the

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Speaker 1: big money interest of pouring hundreds and hundreds of millions

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Speaker 1: of dollars to make sure that we continue to pay

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Speaker 1: the highest prices in the world for prescription drugs, that

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Speaker 1: the rich do not stop paying their fair share of taxes.

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Speaker 1: And I would have hoped that we could have had

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Speaker 1: at least fifty Democrats on board who have the guts

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Speaker 1: to stand up for working families and take on the

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Speaker 1: lobbyists and the powerful special interest We have no Republicans now,

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Speaker 1: one Republican in the United States Center, or the House

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Speaker 1: for that matter, it's prepared to stand up to the

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Speaker 1: drug companies, or the insurance companies or the wealthy. I

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Speaker 1: would hope we would have had fifty Democrats. But if

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Speaker 1: that is the case, and I hope that we will

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Speaker 1: bring a strong bill to the flow of the Senate

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Speaker 1: as soon as we can, and let miss the Manchion

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Speaker 1: explain to the people of West Virginia why he doesn't

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Speaker 1: have the guts to stand up the powerful special interests.

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Speaker 1: I mean, Chuck Chromer is essentially going to be following that.

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Speaker 1: But here's the thing, and this is what Bernie does

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Speaker 1: not seem to be able to wrap his head around.

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Speaker 1: As you said, yes, you can test the individual pieces,

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Speaker 1: but you can't outdo the national environment. Joe Manchin is

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Speaker 1: making a very politically popular move by knifing Biden, and

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Speaker 1: I even like you said too, the people of West Virginia,

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Speaker 1: of the whole country, have no idea what's in this thing.

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Speaker 1: It's not easy to understand. And I've seen some takes

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Speaker 1: out there like, oh, this is the nail in the coffin.

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Speaker 1: Deficit politics is back. I could not disagree with that more.

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Speaker 1: The problem with this bill is that, yes, the price

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Speaker 1: tag is large, but the individual provisions are so complicated.

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Speaker 1: Even the child tax cread a pvision, it's not real.

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Speaker 1: It's it's a full extension. It's like a five year

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Speaker 1: or whatever. It's like, okay, then what you know. It's like, oh,

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Speaker 1: we're going to expend it out and extended to this period.

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Speaker 1: Also a universal pre K kind of it's a block

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Speaker 1: grant to the state childcare. Also, block grants probably won't

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Speaker 1: get implemented properly. Several states have already said that they

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Speaker 1: won't even do it. Every single one of these provisions

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Speaker 1: is like this, more pell grants instead of community college,

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Speaker 1: and people like, screw this. I don't understand. It just

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Speaker 1: seems like you're throwing money at all these fake, half

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Speaker 1: baked programs. A friend of mine calls democrats having program brain.

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Speaker 1: You're like, let's create a new program, yeah, and create

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Speaker 1: all these bureaucrats. But look, the real problem right now

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Speaker 1: is nobody can understand this thing. He can vote against it,

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Speaker 1: he won't suffer any consequences. And the yeah, look, the

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Speaker 1: ultimate villain is Biden. He has not only not sold

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Speaker 1: a build back better, he can't sell himself. He can't

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Speaker 1: sell the country on anything. I mean even today, the

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Speaker 1: man is locked up in the White House all weekend.

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Speaker 1: He doesn't do anything on Sunday shows. I mean, he

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Speaker 1: doesn't even try to play the traditional game. His administration

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Speaker 1: was out there. They sent doctor Fauci out there to say, actually,

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Speaker 1: you're gonna be wearing a mask on a plane for

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Speaker 1: the rest of your life. I'm like, I don't even

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Speaker 1: understand what level of politics these people are. It's a

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Speaker 1: part of one of the many failures here is technocratic

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Speaker 1: neoliberalism killed this stilta because that's what you're pointing to.

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Speaker 1: With all the wires so freaking complicated, like am I

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Speaker 1: gonna get preschool for my kids and to care for

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Speaker 1: my kids or not? Literally, no one would be able

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Speaker 1: to answer that question, well, what state do you live

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Speaker 1: in and what income level are you at and all

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Speaker 1: of these things to go into it, and you know, so, yeah,

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Speaker 1: they make it so complex that no one can possibly

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Speaker 1: feel like they are personally invested in it rather than

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Speaker 1: picking you know, a few things that they really sold

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Speaker 1: because they went through the reconciliation process. That was another

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Speaker 1: failure here that they decided to put all, you know,

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Speaker 1: these different pieces together, water them down tremendously, and at

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Speaker 1: the end of the day, you know, there wasn't a

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Speaker 1: public rallying for it because it was too complex to understand.

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Speaker 1: It wasn't as much of a direct benefit to the

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Speaker 1: American people. They stripped out of the most popular provisions.

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Speaker 1: Biden and the Democrats did a horror, horrific job selling it.

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Speaker 1: And yes, part of that is the corporate media's fault

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Speaker 1: where they wanted to fixate on oh, well, what's the

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Speaker 1: top line number versus what are the details of the program?

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Speaker 1: But that's also on you as a political party to

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Speaker 1: you know, get out there and really message effectively on that,

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Speaker 1: and that starts from the top. Bottom line is ultimately

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Speaker 1: the corporates went again AOC with a little bit of

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Speaker 1: a bit of a bitter I told you so, let's

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Speaker 1: go ahead and throw her tweet up there on screen.

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Speaker 1: She was one of just a handful who voted against

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Speaker 1: the infrastructure bill because they wanted to keep it tied

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Speaker 1: together with build back Better, understanding that was the only

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Speaker 1: leverage that anyone had over rogue agent's like Mansion. She says,

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Speaker 1: when a handful of us in the House warned this

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Speaker 1: would happen if dem leaders gave Mansion everything he wanted

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Speaker 1: first by moving bif that's the infrastructure deal before BBB

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Speaker 1: build back Better instead of passing together. Many ridiculed our position.

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Speaker 1: Maybe they'll believe us next time, or maybe people will

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Speaker 1: just keep calling us naive. So the beginning at the

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Speaker 1: end was when the Progressive Caucus folded. That's what she's

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Speaker 1: pointing to here, Promila Jaya Paul. They decided to take

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Speaker 1: Biden's word for it that everybody was going to be

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Speaker 1: on board. They wanted to believe it because they were

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Speaker 1: getting heat after Virginia and the losses there. Suddenly the

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Speaker 1: media was, you know, turning to blame progressives like they

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Speaker 1: always do. They couldn't stand the heat, so they could

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Speaker 1: They fooled themselves. I mean, that's really it. They believed

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Speaker 1: the assurances that anyone looking from the outside would say,

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Speaker 1: you're crazy to think, which we were like, are you stupid? Yeah,

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Speaker 1: you actually believe that what there's I mean, even at

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Speaker 1: the time, people like Gottheimer and the others were saying, well,

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Speaker 1: if the CBO score, they were giving themselves an out.

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Speaker 1: From the very beginning, it was so obvious that this

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Speaker 1: was how it was going to play out. And so

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Speaker 1: here we are. Yeah, I played out. They ain't going

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Speaker 1: to be in next time AOC. You guys are gonna

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Speaker 1: be in the minority for a long lot time. Enjoy

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Speaker 1: enjoy the backbench. Okay, let's move on here. We should

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Speaker 1: spend a lot of time here because this is one

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Speaker 1: of the most important stories in the country, and it

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Speaker 1: is one of the most dramatic institutional state failures I've

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Speaker 1: seen since what a year ago, in the last time

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Speaker 1: that we had a big COVID weave. I really can't

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Speaker 1: get over it. I have so many friends right now

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Speaker 1: who are suffering, so it is personal. But let's go

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Speaker 1: ahead and put this up there on the screen, which

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Speaker 1: is that New York has broken its record for single

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Speaker 1: day positive cases for a second consecutive day. Jat was

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Speaker 1: the city of New York. It was the same situation

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Speaker 1: here in Washington, DC. We're talking about tens of thousands

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Speaker 1: of new cases now as I've said previously cases don't

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Speaker 1: necessarily matter, but what does matter is the way that

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Speaker 1: we have the state capacity to deal with this. And

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Speaker 1: I cannot tell you anecdotally how many stories of complete

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Speaker 1: desperation that I've heard of people who want to go

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Speaker 1: home for the holidays. They suspect that they might have

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Speaker 1: omicron or a COVID and they decided they wanted to

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Speaker 1: go out and get a test. So, okay, let's say

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Speaker 1: you live in the City of New York and you

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Speaker 1: want to go get a test. Let's put this up

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Speaker 1: there on the screen. Please. This is a video taken

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Speaker 1: in Harlem of the COVID testing line. Just stick with this.

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Speaker 1: As we can see it stretches for blocks and blocks

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Speaker 1: in the middle of the rain. People who are waiting

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Speaker 1: mass on they're paranoid. They don't know. Anecdotally, I know

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Speaker 1: people who have been tested recently in New York City

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Speaker 1: had to wait two and a half hours in line

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Speaker 1: a couple of days ago. The City of New York

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Speaker 1: was supposed to give them results in twenty four hours.

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Speaker 1: Sixty hours later they finally received their test. What is

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Speaker 1: this May of twenty twenty. This is a complete failure.

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Speaker 1: Crystal of the federal government. Because here's what has happened.

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Speaker 1: We pushed mass vaccination and boosters, and once again, mass

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Speaker 1: vaccination and boosters are great. Mass vaccination has reduced hospitalization

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Speaker 1: and death to a level that we haven't seen in

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Speaker 1: a long time. We may have a record number of

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Speaker 1: cases right now, but the hospitalization and death figure looks

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Speaker 1: almost like it was like, you know, a year and

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Speaker 1: a half ago or something. But that does not mean

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Speaker 1: and this is part of the problem, not up and

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Speaker 1: honest about the prevention around breakthrough infection. Mass vaccination is

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Speaker 1: not going to stop widespread COVID and so we have

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Speaker 1: two problems right now. Number one, we don't have accurate

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Speaker 1: testing infrastructure. People right now all across this country are

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Speaker 1: trying to go to a CVS and buy a rapid test.

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Speaker 1: Guess what can't get one? Complete shortage? Why Biden administration

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Speaker 1: and the FDA have made it impossible. A second thing

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Speaker 1: is therapeutics doctor Peter Attia. He's a podcaster, but he's

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Speaker 1: pro vaccination. All of that heat put out a video

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Speaker 1: over the weekend where he actually has been prescribing fluvoxamine

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Speaker 1: to a patient that had COVID and look, I'm not

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Speaker 1: a crank for talking about this. This is like level

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Speaker 1: one qualification in terms of its use as a therapeutic

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Speaker 1: and a CVS in California. You refuse to fill it

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Speaker 1: because they said, oh, it doesn't meet the official protocol.

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Speaker 1: It's like whoa, So now you are in the business

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Speaker 1: of deciding it's a freaking doctor who is the one

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Speaker 1: who's prescribing it to you. We have no widespread availability

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Speaker 1: of therapeutics or even of a recommendations protocol protocol on

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Speaker 1: therapeutic for at home COVID, and we also don't have

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Speaker 1: an ability to pee for people to have tests. We

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Speaker 1: have left our population in the lurch. We are now

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Speaker 1: currently on the midst of a wave of the likes

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Speaker 1: we have probably not seen in a long time. You

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Speaker 1: shouldn't worry too much because look, most of you, ninety

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Speaker 1: nine point nine percent of you are going to be fine,

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Speaker 1: especially if you've got the vaccine, and unless you're old, obese,

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Speaker 1: or you know, comorbidity or something, probably okay. And yet

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Speaker 1: we have the total failure of the state right now,

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Speaker 1: and it's just I don't know, I really can't keep

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Speaker 1: coming back to it. It's caused immense disruption New York

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Speaker 1: Times wrote this up. This is anecdotally again what we're hearing,

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Speaker 1: which is that in major cities all across the country,

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Speaker 1: offices are shuttering, holiday parties are dimming. We are seeing

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Speaker 1: soft lockdowns all across of offices, of restaurants, some moving

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Speaker 1: to take out people, staff getting COVID and more. And

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Speaker 1: the chaos that has been unleashed without the support from

428
00:21:55,080 --> 00:21:58,040
Speaker 1: the government, we've essentially left people completely on their own.

429
00:21:58,480 --> 00:22:01,399
Speaker 1: It's a horrible whole situation. And the case is just

430
00:22:01,400 --> 00:22:03,320
Speaker 1: continue to rise, and we don't have the official number

431
00:22:03,480 --> 00:22:05,320
Speaker 1: yet for today, but it's very likely it's going to

432
00:22:05,359 --> 00:22:08,080
Speaker 1: break the next record because it's been the weekend. So yeah,

433
00:22:08,080 --> 00:22:11,240
Speaker 1: that's right. I mean, I was looking just yesterday at

434
00:22:11,280 --> 00:22:14,520
Speaker 1: the case numbers in New York City over you know,

435
00:22:14,600 --> 00:22:16,800
Speaker 1: they do like the rolling average over fourteen days. So

436
00:22:16,920 --> 00:22:21,080
Speaker 1: cases are up one hundred and ninety four percent. Hospitalizations

437
00:22:21,080 --> 00:22:24,320
Speaker 1: are up forty eight percent, So still rising, but not

438
00:22:24,520 --> 00:22:27,000
Speaker 1: nearly as rapidly as the case is. Because you have

439
00:22:27,040 --> 00:22:30,119
Speaker 1: a very highly vaccinated population in New York City. And

440
00:22:30,160 --> 00:22:31,800
Speaker 1: I do want to just employ you guys, if you're

441
00:22:31,840 --> 00:22:35,000
Speaker 1: not vaccinated, please do that, because then you don't really

442
00:22:35,040 --> 00:22:37,560
Speaker 1: have to worry about omicron. You may get it, you

443
00:22:37,640 --> 00:22:40,240
Speaker 1: may not feel great, none of that is fun, but

444
00:22:40,280 --> 00:22:43,879
Speaker 1: you're going to be at tremendously lower risk. So please

445
00:22:44,040 --> 00:22:46,439
Speaker 1: consider getting vaccinated if you have not yet done that.

446
00:22:46,760 --> 00:22:48,399
Speaker 1: But we should also point out because it's not just

447
00:22:48,480 --> 00:22:50,720
Speaker 1: New York City. I mean here in d C. Everybody

448
00:22:50,760 --> 00:22:54,240
Speaker 1: massive lines, well you know out where I live, driving

449
00:22:54,320 --> 00:22:58,920
Speaker 1: into the city, huge lines because there's this massive testing shortage.

450
00:22:58,920 --> 00:23:02,840
Speaker 1: And it really is completely inexcusable at this stage in

451
00:23:02,880 --> 00:23:07,080
Speaker 1: the pandemic that you would not have the testing capacity

452
00:23:07,280 --> 00:23:09,560
Speaker 1: that you need. And this is something that's been a

453
00:23:09,600 --> 00:23:14,840
Speaker 1: failure from the very beginning in the early days of

454
00:23:14,840 --> 00:23:17,359
Speaker 1: the pandemic. Remember back when you know Cuomo was getting

455
00:23:17,359 --> 00:23:20,320
Speaker 1: his brother Vip access to a test. You couldn't get

456
00:23:20,320 --> 00:23:23,600
Speaker 1: a test. It took forever for them to approve and

457
00:23:23,640 --> 00:23:26,600
Speaker 1: actually have a test that people could do at all.

458
00:23:27,119 --> 00:23:29,919
Speaker 1: And then you know, at this point, why haven't we

459
00:23:30,080 --> 00:23:33,560
Speaker 1: ramped up production? Their calls now for Biden to use

460
00:23:33,600 --> 00:23:36,280
Speaker 1: the Defense Production Act to make sure that we have

461
00:23:36,600 --> 00:23:42,320
Speaker 1: enough tests. This is so late, you know. Kamala Harris

462
00:23:42,400 --> 00:23:45,479
Speaker 1: was interviewed by the La Times and she said in

463
00:23:45,520 --> 00:23:49,760
Speaker 1: that interview, initially we didn't anticipate. We didn't anticipate new

464
00:23:49,800 --> 00:23:52,760
Speaker 1: variants like omicron and then afterwards they cleaned out. No, no,

465
00:23:52,800 --> 00:23:55,120
Speaker 1: we anticipated that there would be variants, but we didn't

466
00:23:55,119 --> 00:23:58,679
Speaker 1: anticipate this particular variant or whatever. Look, it sure seems

467
00:23:58,720 --> 00:24:03,199
Speaker 1: like they were not prepared for another major spike. And

468
00:24:03,280 --> 00:24:06,480
Speaker 1: the proof is in that line right there in the street.

469
00:24:06,520 --> 00:24:08,480
Speaker 1: I mean, I felt so bad for those people, especially

470
00:24:08,480 --> 00:24:11,359
Speaker 1: if you're feeling lousy you're waiting there. There were kids

471
00:24:11,359 --> 00:24:13,840
Speaker 1: in that line having to wait out there for hours

472
00:24:13,880 --> 00:24:17,080
Speaker 1: in the rain just to find out whether or not

473
00:24:17,119 --> 00:24:21,320
Speaker 1: you have COVID. That's absolutely pathetic. With regards to the

474
00:24:21,359 --> 00:24:25,000
Speaker 1: soft lockdowns, remember at the beginning phases of the pandemic,

475
00:24:25,040 --> 00:24:27,320
Speaker 1: one of the things that we tracked quite a bit

476
00:24:27,560 --> 00:24:31,679
Speaker 1: was that actually the sort of change in people's behavior

477
00:24:31,960 --> 00:24:33,879
Speaker 1: and the number of businesses that were shut down and

478
00:24:33,920 --> 00:24:36,600
Speaker 1: the amount of spending that was happening in restaurants and retail,

479
00:24:37,040 --> 00:24:40,320
Speaker 1: brick and mortar retail, it didn't depend that much on

480
00:24:40,840 --> 00:24:45,440
Speaker 1: what the official state government policy was. People were assessing

481
00:24:45,440 --> 00:24:49,040
Speaker 1: their risk for themselves and taking it upon themselves to

482
00:24:49,080 --> 00:24:51,960
Speaker 1: stay home or close their restaurant, or close their shop

483
00:24:52,119 --> 00:24:54,840
Speaker 1: or close their office building. And that's kind of where

484
00:24:54,840 --> 00:24:58,800
Speaker 1: we're heading now, Biden. At the federal level, and you're

485
00:24:58,800 --> 00:25:00,760
Speaker 1: going to see, you know, New York City or San

486
00:25:00,760 --> 00:25:03,080
Speaker 1: Francisco or other liberal places, they're going to put new

487
00:25:03,080 --> 00:25:07,040
Speaker 1: policies in place, potential potentially here at a federal level,

488
00:25:07,080 --> 00:25:09,840
Speaker 1: Baden seems pretty adamant that they don't want to go

489
00:25:09,960 --> 00:25:12,360
Speaker 1: back to any sort of full lockdown. I think partly

490
00:25:12,760 --> 00:25:14,960
Speaker 1: it's because, I mean, they just see the writing on

491
00:25:15,000 --> 00:25:17,960
Speaker 1: the wall in terms of his approval writings. There's not

492
00:25:18,000 --> 00:25:20,280
Speaker 1: an appetite for it. And also they don't want to

493
00:25:20,280 --> 00:25:22,640
Speaker 1: pay people to stay home. Again, that's another issue here.

494
00:25:23,200 --> 00:25:25,840
Speaker 1: But are you going to see these way you describe

495
00:25:25,840 --> 00:25:28,840
Speaker 1: as soft lockdowns where things start to shutter, you know,

496
00:25:28,880 --> 00:25:34,040
Speaker 1: people just voluntarily start closing shops, stores, restaurants, all those things. Yeah,

497
00:25:34,080 --> 00:25:37,280
Speaker 1: I think that's where we are right now. There's a

498
00:25:37,320 --> 00:25:39,600
Speaker 1: few there are a few tidbits in that New York

499
00:25:39,640 --> 00:25:42,919
Speaker 1: Times piece that were interesting. Some of the places that

500
00:25:43,080 --> 00:25:47,040
Speaker 1: have hosted holiday parties those have seen them turn into

501
00:25:47,119 --> 00:25:50,359
Speaker 1: super spreader events, BuzzFeed News being one of them. They

502
00:25:50,400 --> 00:25:54,399
Speaker 1: hosted a party last week in Manhattan. Afterwards, attendees reported

503
00:25:54,400 --> 00:25:58,120
Speaker 1: positive test results. The companies in house epidemiologists close contexts

504
00:25:58,119 --> 00:26:01,040
Speaker 1: were encouraged to get tested. But this nugget at the end,

505
00:26:01,040 --> 00:26:04,800
Speaker 1: they assure us that don't worry. The World Economic Forum

506
00:26:04,840 --> 00:26:08,600
Speaker 1: at Davos is still planning. I'm being held a month

507
00:26:08,640 --> 00:26:10,840
Speaker 1: from now, So don't worry, guys. You can still you

508
00:26:10,880 --> 00:26:14,040
Speaker 1: can still attend Davos all the you know, global ruling

509
00:26:14,119 --> 00:26:16,199
Speaker 1: elite will be able to gather. That's the other thing

510
00:26:16,280 --> 00:26:18,080
Speaker 1: pisses me off. People out there are waiting for a

511
00:26:18,080 --> 00:26:20,240
Speaker 1: free test. You know how you get a test. I've

512
00:26:20,240 --> 00:26:22,760
Speaker 1: had to do it before whenever we had two scares

513
00:26:22,760 --> 00:26:25,159
Speaker 1: while we were rising. Yeah, but what did I know.

514
00:26:25,240 --> 00:26:26,920
Speaker 1: I know you couldn't rely on the state in order

515
00:26:26,920 --> 00:26:28,720
Speaker 1: to give you a timely test. It cost me two

516
00:26:28,840 --> 00:26:31,359
Speaker 1: hundred and fifty dollars to go get a rapid PCO.

517
00:26:31,440 --> 00:26:33,520
Speaker 1: Those five hundred bucks. That was only two tests. Wow,

518
00:26:33,560 --> 00:26:35,239
Speaker 1: you can go get them if you want. So, if

519
00:26:35,280 --> 00:26:38,080
Speaker 1: you're rich and you're working at Davos or whatever, yeah,

520
00:26:38,160 --> 00:26:40,240
Speaker 1: you're completely fine. You can go and you can pay

521
00:26:40,520 --> 00:26:42,200
Speaker 1: completely an arm and a leg and you can get

522
00:26:42,240 --> 00:26:45,160
Speaker 1: a result very quickly. But if you're poor, or if

523
00:26:45,160 --> 00:26:47,600
Speaker 1: you don't want to spend any money. Yeah, you're screwed.

524
00:26:47,800 --> 00:26:50,480
Speaker 1: And that's why. Actually the soft lockdown is a consequence

525
00:26:50,480 --> 00:26:53,480
Speaker 1: I think of government policy. If we had accurate ability

526
00:26:53,480 --> 00:26:55,600
Speaker 1: to test, and in order to make sure that we had,

527
00:26:55,720 --> 00:26:58,320
Speaker 1: you know, sufficient ability to have confidence both in the

528
00:26:58,320 --> 00:27:01,000
Speaker 1: consumer and on the restaurant side in order to stay open,

529
00:27:01,160 --> 00:27:04,000
Speaker 1: then we would be fine. But you cannot buy a

530
00:27:04,119 --> 00:27:07,120
Speaker 1: rapid test here in the city of Washington, DC because

531
00:27:07,160 --> 00:27:09,359
Speaker 1: of the shortage. And it's both because people are headed

532
00:27:09,359 --> 00:27:11,600
Speaker 1: home for the holidays and KUI is a record number

533
00:27:11,640 --> 00:27:14,040
Speaker 1: of COVID. And I come back to the most one

534
00:27:14,040 --> 00:27:16,919
Speaker 1: of the most shameful moments yet of the Biden presidency

535
00:27:17,080 --> 00:27:20,439
Speaker 1: when Jensaki mocked a reporter for saying, what are we

536
00:27:20,440 --> 00:27:23,320
Speaker 1: supposed to do? Send free tests to people? In case

537
00:27:23,359 --> 00:27:25,840
Speaker 1: you guys don't remember, let's take a listen. Look at

538
00:27:25,840 --> 00:27:28,720
Speaker 1: what we've done over the course of time. We've quadrupled

539
00:27:28,720 --> 00:27:31,399
Speaker 1: the size of our testing plan. We've cut the cost

540
00:27:31,560 --> 00:27:34,840
Speaker 1: significantly over the past few months. And this effort to

541
00:27:36,160 --> 00:27:39,239
Speaker 1: push to ensure insurers or you're able to get your

542
00:27:39,840 --> 00:27:42,679
Speaker 1: tests refunded means one hundred and fifty million Americans will

543
00:27:42,680 --> 00:27:44,880
Speaker 1: be able to get free tests okay to though, why

544
00:27:44,920 --> 00:27:47,320
Speaker 1: not just make them free and give them out and

545
00:27:47,359 --> 00:27:49,520
Speaker 1: have them available everywhere? Should we just send one to

546
00:27:49,520 --> 00:27:54,480
Speaker 1: every American? Maybe? Then what happens if every American has

547
00:27:54,520 --> 00:27:56,600
Speaker 1: one test? How much does that cost? And then what

548
00:27:56,640 --> 00:27:58,760
Speaker 1: happens after that? All I know is that other countries

549
00:27:58,760 --> 00:28:02,399
Speaker 1: seem to be making them available in greater quantities for

550
00:28:02,520 --> 00:28:05,240
Speaker 1: less money. Well, I think we share the same objective,

551
00:28:05,280 --> 00:28:08,120
Speaker 1: which is to make them less expensive and more accessible. Right,

552
00:28:08,840 --> 00:28:11,240
Speaker 1: every country's going to do that differently, And I was

553
00:28:11,240 --> 00:28:13,760
Speaker 1: just noting that again, our tests go through the FDA

554
00:28:13,760 --> 00:28:16,880
Speaker 1: approval process. That's not the same. Yeah, she's exactly right.

555
00:28:16,960 --> 00:28:19,720
Speaker 1: Other countries do it just fine. Friend of mine was

556
00:28:19,760 --> 00:28:25,440
Speaker 1: just in Kenya, where they have tests available everywhere, short lines, cheap,

557
00:28:25,680 --> 00:28:30,240
Speaker 1: quick results. In Britain they're free even if you're traveling there. Abroad,

558
00:28:30,320 --> 00:28:32,480
Speaker 1: you can literally go to a pharmacy order them ahead

559
00:28:32,520 --> 00:28:34,800
Speaker 1: and you can get seven a week's worth of free

560
00:28:34,840 --> 00:28:37,439
Speaker 1: tests if you want. In Germany you can get them

561
00:28:37,480 --> 00:28:40,160
Speaker 1: for a dollar. There is a company who is here

562
00:28:40,200 --> 00:28:43,720
Speaker 1: in the United States who is selling tests to Europe

563
00:28:43,920 --> 00:28:47,120
Speaker 1: because our FDA has not approved them. That is how

564
00:28:47,240 --> 00:28:51,040
Speaker 1: much of a colossal clown show this entire thing is

565
00:28:51,280 --> 00:28:54,520
Speaker 1: our citizens consigned to waiting in the cold and then

566
00:28:54,600 --> 00:28:57,760
Speaker 1: the rain for two and a half hours because we

567
00:28:57,880 --> 00:29:00,640
Speaker 1: are being mocked from the White House press podium at

568
00:29:00,640 --> 00:29:03,160
Speaker 1: the idea that we might be able to give everybody

569
00:29:03,520 --> 00:29:06,680
Speaker 1: a free test. You could scrap, build back, better, spend

570
00:29:06,800 --> 00:29:08,400
Speaker 1: I don't even know. I don't even how much would

571
00:29:08,400 --> 00:29:11,560
Speaker 1: even cost, like fifteen billion dollars nothing in order to

572
00:29:11,600 --> 00:29:13,280
Speaker 1: do this. Spin it up so that you have a

573
00:29:13,320 --> 00:29:17,080
Speaker 1: tests available at every single like CBS or whatever in

574
00:29:17,120 --> 00:29:19,520
Speaker 1: the country. You have a sixty five percent approval reading.

575
00:29:19,560 --> 00:29:22,040
Speaker 1: I mean, this is the most basic level stuff. But

576
00:29:22,160 --> 00:29:25,600
Speaker 1: it is a massive, massive failure. And look, it's only

577
00:29:25,640 --> 00:29:28,560
Speaker 1: going to get worse as the wave continues. Let's go

578
00:29:28,560 --> 00:29:30,680
Speaker 1: ahead and put this ap story up on the screen.

579
00:29:31,240 --> 00:29:33,120
Speaker 1: This is also going to be causing at least some

580
00:29:33,160 --> 00:29:35,360
Speaker 1: consternation chaos eventually going to make it up way to

581
00:29:35,400 --> 00:29:38,760
Speaker 1: the Supreme Court. Remember that the court had struck down

582
00:29:38,800 --> 00:29:42,520
Speaker 1: previously the vaccine mandate. The Appeals Court, a new Federal's

583
00:29:42,560 --> 00:29:45,360
Speaker 1: court a panel has actually ruled that Joe Biden's vaccine

584
00:29:45,360 --> 00:29:48,680
Speaker 1: mandate for larger private employers can take a fet a

585
00:29:48,800 --> 00:29:51,520
Speaker 1: fact that reversed the lower court ruling that is then

586
00:29:51,840 --> 00:29:53,800
Speaker 1: likely going to go ahead and make its way to

587
00:29:53,920 --> 00:29:56,760
Speaker 1: the Supreme Court, but in the interim period, and that's

588
00:29:56,800 --> 00:30:00,520
Speaker 1: what matters. In the interim by overruling that des by

589
00:30:00,840 --> 00:30:03,960
Speaker 1: a federal judge, the Osha Rule is at least now

590
00:30:04,120 --> 00:30:07,640
Speaker 1: set to go into effect on January fourth. In terms

591
00:30:07,640 --> 00:30:10,040
Speaker 1: of what the future handles on that were still not

592
00:30:10,080 --> 00:30:14,120
Speaker 1: one hundred percent certain, but that also could also could

593
00:30:14,200 --> 00:30:16,120
Speaker 1: go into effect now. Just want to make people aware

594
00:30:16,200 --> 00:30:18,280
Speaker 1: it was supposed to take in fact January fourth. They

595
00:30:18,320 --> 00:30:21,080
Speaker 1: now say in this article, not clear when it is

596
00:30:21,160 --> 00:30:23,280
Speaker 1: going to be put into place. I think it continues

597
00:30:23,320 --> 00:30:26,280
Speaker 1: to be in a kind of limbo, especially because some

598
00:30:26,360 --> 00:30:29,080
Speaker 1: of the preparations put on hold while you know this

599
00:30:29,200 --> 00:30:31,400
Speaker 1: is all being adjudicated. I think you can fully expect

600
00:30:31,440 --> 00:30:33,520
Speaker 1: this to go to the Supreme Court. You know, this

601
00:30:33,600 --> 00:30:37,080
Speaker 1: is one of those issues where looking at historical precedent,

602
00:30:37,480 --> 00:30:40,040
Speaker 1: it seems like the precedent for this is pretty safe

603
00:30:40,040 --> 00:30:43,040
Speaker 1: and pretty clear. But you have a very conservative Supreme

604
00:30:43,120 --> 00:30:45,520
Speaker 1: Court that is not afraid to break with you as possible,

605
00:30:45,800 --> 00:30:49,400
Speaker 1: it seems, so, you know, I would expect it to

606
00:30:49,440 --> 00:30:53,000
Speaker 1: be upheld based on the fact that you've had much

607
00:30:53,080 --> 00:30:57,440
Speaker 1: more stringent vaccine mandates upheld in the past. But you know,

608
00:30:57,520 --> 00:30:59,880
Speaker 1: we'll wait to see what way that goes, that goes.

609
00:31:00,120 --> 00:31:01,800
Speaker 1: You know, another thing that I was just thinking about

610
00:31:01,840 --> 00:31:04,640
Speaker 1: while we were talking about the total lack of tests

611
00:31:04,680 --> 00:31:07,600
Speaker 1: and unavailability of tests is obviously, you know this is

612
00:31:07,600 --> 00:31:10,240
Speaker 1: supposed to be vaccine or test you're supposed to if

613
00:31:10,240 --> 00:31:13,000
Speaker 1: you're not vaccinated, the requirement is that you get a

614
00:31:13,000 --> 00:31:16,320
Speaker 1: weekly test. Well, what happens if you don't have enough debt? Yeah,

615
00:31:16,360 --> 00:31:18,720
Speaker 1: what do you do? How does that work? But that's

616
00:31:18,720 --> 00:31:21,480
Speaker 1: a great point, Bristol. I mean that just shows you,

617
00:31:21,640 --> 00:31:26,040
Speaker 1: I think, how important of a tool widespread tests are

618
00:31:26,120 --> 00:31:28,000
Speaker 1: and happened from the beginning of the pandemic. I mean

619
00:31:28,000 --> 00:31:30,000
Speaker 1: this it really does feel like back to square one,

620
00:31:30,120 --> 00:31:32,880
Speaker 1: like those early days when you couldn't get a test,

621
00:31:32,920 --> 00:31:35,200
Speaker 1: they weren't available, there was a shortage of them, and

622
00:31:35,200 --> 00:31:39,680
Speaker 1: everybody's running around, how are we back there again? When

623
00:31:40,160 --> 00:31:43,160
Speaker 1: you know it was obvious that it was possible there

624
00:31:43,160 --> 00:31:46,200
Speaker 1: would be another variant that would come in that potentially

625
00:31:46,240 --> 00:31:50,640
Speaker 1: would cause more breakthrough infections or possibly jump the vaccine altogether.

626
00:31:51,480 --> 00:31:55,280
Speaker 1: Thank goodness. Again, with regard to severe illness and death,

627
00:31:55,600 --> 00:31:58,320
Speaker 1: the vaccines are still very effective against omicron, that's what

628
00:31:58,360 --> 00:32:01,720
Speaker 1: it looks like so far, but a lot of breakthrough

629
00:32:01,760 --> 00:32:04,360
Speaker 1: infections causing these huge spikes and cases. And one of

630
00:32:04,400 --> 00:32:07,280
Speaker 1: the thing that I want to say about omicron is

631
00:32:08,320 --> 00:32:11,080
Speaker 1: there's some indications although it's a little bit MIxS. It

632
00:32:11,080 --> 00:32:12,840
Speaker 1: a little bit too early to say that it is

633
00:32:12,880 --> 00:32:15,520
Speaker 1: a milder disease. Yeah, we don't know yet, right, but

634
00:32:15,640 --> 00:32:20,120
Speaker 1: when you have it's so transmissible and widespread, you're still

635
00:32:20,160 --> 00:32:24,200
Speaker 1: going to end up with ye higher numbers of hospitalization

636
00:32:24,480 --> 00:32:27,120
Speaker 1: and death. Just because you take like a pretty good

637
00:32:27,200 --> 00:32:30,640
Speaker 1: number in the you know, less severe illness and multiply

638
00:32:30,680 --> 00:32:33,720
Speaker 1: it by a really bad number in the level of infectiousness,

639
00:32:33,920 --> 00:32:35,920
Speaker 1: you're going to get a pretty bad number. So I

640
00:32:36,000 --> 00:32:39,000
Speaker 1: do still don't know one hundred percent the level of

641
00:32:39,040 --> 00:32:40,680
Speaker 1: severity of the disease, but that's what we do. No,

642
00:32:40,880 --> 00:32:42,520
Speaker 1: I do want to focus on one thing which broke

643
00:32:42,600 --> 00:32:44,600
Speaker 1: last night, so we don't have an element. But there

644
00:32:44,640 --> 00:32:46,280
Speaker 1: was a statement that put out by the White House

645
00:32:46,320 --> 00:32:47,960
Speaker 1: which I've been thinking a lot about what you said,

646
00:32:47,960 --> 00:32:50,600
Speaker 1: which is that, you know, does our public discourse reflect

647
00:32:50,600 --> 00:32:52,920
Speaker 1: the fact that eighty five percent of adults in this

648
00:32:52,960 --> 00:32:56,080
Speaker 1: country have had a one dose of the vaccine vast

649
00:32:56,080 --> 00:32:58,680
Speaker 1: majority of people. If you told me a public policy

650
00:32:58,920 --> 00:33:02,080
Speaker 1: had been implemented where the US public, I'll be like, Wow,

651
00:33:02,440 --> 00:33:04,160
Speaker 1: that's a lot, right, That'd be one of the most

652
00:33:04,160 --> 00:33:06,720
Speaker 1: successful public policies of all time. Yet, the White House

653
00:33:06,720 --> 00:33:09,000
Speaker 1: put out a statement last night saying we are intent

654
00:33:09,080 --> 00:33:11,600
Speaker 1: on not letting Amicron disrupt work in school. For the vaccinated,

655
00:33:11,640 --> 00:33:13,280
Speaker 1: you've done the right thing. We will get you through this.

656
00:33:13,520 --> 00:33:15,920
Speaker 1: For the unvaccinated, you're looking at a winter of severe

657
00:33:16,000 --> 00:33:19,320
Speaker 1: illness and death for yourselves, your family, the hospitals you

658
00:33:19,360 --> 00:33:22,440
Speaker 1: may soon overwhelm. I just don't think that speaking that

659
00:33:22,480 --> 00:33:26,200
Speaker 1: way is productive whatsoever, and also not reflective of the

660
00:33:26,240 --> 00:33:28,160
Speaker 1: general picture of the country. Yes, of course, you know,

661
00:33:28,160 --> 00:33:29,840
Speaker 1: if you're on vaccinate, you are much more likely end

662
00:33:29,880 --> 00:33:32,000
Speaker 1: up in the hospital and die. But I just think

663
00:33:32,080 --> 00:33:34,320
Speaker 1: speaking that way, hey, look, you're not going to convince

664
00:33:34,520 --> 00:33:37,080
Speaker 1: one to goddamn person at this point. Maybe you weren't

665
00:33:37,080 --> 00:33:39,000
Speaker 1: going to anyway. Yeah, I mean, I don't know. I

666
00:33:39,120 --> 00:33:42,200
Speaker 1: just think that's actually this messaging to me, This is

667
00:33:42,240 --> 00:33:43,960
Speaker 1: the more the direction that they should have been going

668
00:33:44,000 --> 00:33:46,120
Speaker 1: in from the beginning, because when they started to be

669
00:33:46,520 --> 00:33:49,760
Speaker 1: you know, to focus on boosters and the vaccines aren't enough.

670
00:33:51,040 --> 00:33:53,040
Speaker 1: That gives you a little bit of a sense of like, oh,

671
00:33:53,080 --> 00:33:55,800
Speaker 1: maybe these vaccines weren't that good. Oh, here, there's a

672
00:33:55,840 --> 00:33:59,480
Speaker 1: clear distinction of like, look, if you're vaccinated, you're probably

673
00:33:59,480 --> 00:34:02,520
Speaker 1: gonna be good. But it's this group over here that

674
00:34:02,600 --> 00:34:05,920
Speaker 1: at this point has had an abundant, you know, option

675
00:34:06,000 --> 00:34:08,839
Speaker 1: and availability to be able to get vaccinated. You all

676
00:34:08,880 --> 00:34:10,640
Speaker 1: are the ones who are going to be in trouble

677
00:34:10,680 --> 00:34:13,799
Speaker 1: this winter. So I actually don't mind that messaging. To

678
00:34:13,920 --> 00:34:16,879
Speaker 1: your point, does any messaging from the White House matter

679
00:34:16,920 --> 00:34:18,239
Speaker 1: at the time, I don't think it matters. No, I

680
00:34:18,239 --> 00:34:20,239
Speaker 1: don't think it matters either. I'd almost say, who knows,

681
00:34:20,280 --> 00:34:23,240
Speaker 1: maybe there's like some people on the margins or something

682
00:34:23,600 --> 00:34:26,279
Speaker 1: that will be persuaded. I personally think they should have

683
00:34:26,280 --> 00:34:29,239
Speaker 1: been talking more like this from the very beginning of

684
00:34:29,600 --> 00:34:32,200
Speaker 1: if you get vaccinated, you're going to be able to

685
00:34:32,200 --> 00:34:34,400
Speaker 1: live much closer to a normal life, which is a

686
00:34:34,400 --> 00:34:37,480
Speaker 1: lot less year, and then you would have potentially I mean,

687
00:34:37,480 --> 00:34:39,880
Speaker 1: the people who would listen to that are people like

688
00:34:39,920 --> 00:34:43,600
Speaker 1: who live here, the sort of you know, liberal suburbanites

689
00:34:43,640 --> 00:34:46,720
Speaker 1: who are more freaked out about COVID. They might relax

690
00:34:46,760 --> 00:34:50,319
Speaker 1: a little bit. That puts less pressure on local officials

691
00:34:50,360 --> 00:34:53,280
Speaker 1: to have you know, closed down shoes and mass schools

692
00:34:53,280 --> 00:34:56,000
Speaker 1: and mass mandates that I just say, closed dunch shoes. Anyway,

693
00:34:56,160 --> 00:34:58,920
Speaker 1: we should close. There's a big problem with supportive shoes.

694
00:34:59,000 --> 00:35:02,440
Speaker 1: That's a whole other discussion. Close downcols, mass mandates, and

695
00:35:02,480 --> 00:35:05,440
Speaker 1: the other policies that they are pushing public officials to

696
00:35:05,520 --> 00:35:07,200
Speaker 1: ultimately do that. I know you're going to be tracking

697
00:35:07,239 --> 00:35:10,000
Speaker 1: in your monologue. Yeah, that's right. I just really struck

698
00:35:10,040 --> 00:35:13,280
Speaker 1: by you know, we are seeing mass paranoia panic sweep

699
00:35:13,320 --> 00:35:15,640
Speaker 1: through schools that are closing, which I'll get to. We

700
00:35:15,680 --> 00:35:17,960
Speaker 1: are seeing a complete lack of test. How are you

701
00:35:17,960 --> 00:35:19,840
Speaker 1: supposed to have a vaccine or test mandate when you

702
00:35:19,880 --> 00:35:22,640
Speaker 1: can't get any damn tests? It's basically probably going to

703
00:35:22,680 --> 00:35:24,880
Speaker 1: become a vaccine mandate. So then people are going to

704
00:35:24,920 --> 00:35:27,640
Speaker 1: get fired. I mean, I just look to your point.

705
00:35:27,960 --> 00:35:29,719
Speaker 1: If we just made it so like, look, you got it,

706
00:35:29,960 --> 00:35:32,680
Speaker 1: You're good. Yes you might get a cold and flu,

707
00:35:33,200 --> 00:35:36,319
Speaker 1: so be it. That's life. We can move on. What

708
00:35:36,320 --> 00:35:37,520
Speaker 1: do you do when you have a cold. You go

709
00:35:37,520 --> 00:35:39,359
Speaker 1: to CBS, you buy some dayquill, and you go, hey,

710
00:35:39,360 --> 00:35:41,160
Speaker 1: this really sucks, and if it's really bad, you go

711
00:35:41,160 --> 00:35:42,520
Speaker 1: to the doctor and they swab you and they're like,

712
00:35:42,560 --> 00:35:44,680
Speaker 1: you have influenza the type A or whatever, and then

713
00:35:44,719 --> 00:35:47,000
Speaker 1: you stay home for a couple of days. Should be

714
00:35:47,040 --> 00:35:48,800
Speaker 1: the same thing. And yet that's not the way that

715
00:35:48,840 --> 00:35:54,719
Speaker 1: we're looking at it. Some really dire numbers that we

716
00:35:54,760 --> 00:35:57,160
Speaker 1: didn't want to ignore or lose in the mix of

717
00:35:57,440 --> 00:35:59,640
Speaker 1: other significant news that's going on here. Let's go ahead

718
00:35:59,640 --> 00:36:01,360
Speaker 1: and throw this tear sheet up on the screen. And

719
00:36:01,360 --> 00:36:05,680
Speaker 1: so fentanyl overdoses have become the number one cause of

720
00:36:05,760 --> 00:36:09,440
Speaker 1: death among US adults age eighteen to forty five. That

721
00:36:09,560 --> 00:36:14,319
Speaker 1: is being described accurately as a national emergency. Here is

722
00:36:14,360 --> 00:36:16,560
Speaker 1: some of the data, So between twenty twenty and twenty

723
00:36:16,640 --> 00:36:19,680
Speaker 1: twenty one. So in those two years, nearly seventy nine

724
00:36:19,719 --> 00:36:23,400
Speaker 1: thousand people between eighteen and forty five years old thirty

725
00:36:23,400 --> 00:36:26,200
Speaker 1: seven thousand and twenty twenty and forty one thy twenty

726
00:36:26,239 --> 00:36:30,279
Speaker 1: twenty one died of fentyl overdoses. That comes from a

727
00:36:30,360 --> 00:36:33,600
Speaker 1: data analysis from an opioid awareness organization, so an activist

728
00:36:33,719 --> 00:36:39,080
Speaker 1: organization called Families Against Fentanyl. They doubled in two years

729
00:36:39,120 --> 00:36:42,799
Speaker 1: between April twenty nineteen and April twenty twenty one. In

730
00:36:42,840 --> 00:36:47,120
Speaker 1: the first five months of twenty twenty one alone, more

731
00:36:47,160 --> 00:36:50,719
Speaker 1: than forty two thousand fentyl overdose deaths were reported. That

732
00:36:50,760 --> 00:36:53,480
Speaker 1: represents an increase of more than one thousand fentanyl deaths

733
00:36:53,600 --> 00:36:56,479
Speaker 1: per month compared to the same time period. So again

734
00:36:56,920 --> 00:37:01,600
Speaker 1: it just keeps escalating and escalating and escalating. And Sager

735
00:37:01,719 --> 00:37:04,400
Speaker 1: I thought there was a really interesting comment here. You know,

736
00:37:04,440 --> 00:37:08,800
Speaker 1: we have this thought of like mostly heroin users, opioid

737
00:37:08,920 --> 00:37:13,600
Speaker 1: users who end up having fentanyl instead of their drug

738
00:37:13,640 --> 00:37:17,480
Speaker 1: of choice. But one of the experts here says it's

739
00:37:17,520 --> 00:37:20,480
Speaker 1: showing up in all parts of the drug supply. Ventanyl

740
00:37:20,480 --> 00:37:22,200
Speaker 1: has been found in all the drug supply. They say,

741
00:37:22,200 --> 00:37:25,680
Speaker 1: that's why anyone using drugs, not just opioids, should carry

742
00:37:25,680 --> 00:37:29,480
Speaker 1: in the loxone. The only safe place to obtain drugs

743
00:37:29,600 --> 00:37:35,200
Speaker 1: is the pharmacy. So you know, it's just dire. And

744
00:37:35,560 --> 00:37:38,800
Speaker 1: we should also say here that this is a US problem.

745
00:37:38,920 --> 00:37:42,040
Speaker 1: I mean, other countries around the world are not seeing

746
00:37:42,400 --> 00:37:47,520
Speaker 1: this spike in overdose deaths, so there is a real

747
00:37:47,600 --> 00:37:53,200
Speaker 1: failure here. There's a mass social cultural failure. And there's

748
00:37:53,239 --> 00:37:56,840
Speaker 1: also listen, I mean, the problem with the war on

749
00:37:56,880 --> 00:38:00,640
Speaker 1: drugs when you have total prohibition, is that fent is

750
00:38:00,680 --> 00:38:03,640
Speaker 1: the most concentrated dose, so it is the easiest thing

751
00:38:04,000 --> 00:38:06,400
Speaker 1: for traffickers to bring across. It's the same thing we

752
00:38:06,440 --> 00:38:09,840
Speaker 1: saw during alcohol prohibition. It was the you know, the

753
00:38:09,920 --> 00:38:13,280
Speaker 1: highest level of alcohol, the most concentrated doses of alcohol.

754
00:38:13,400 --> 00:38:15,959
Speaker 1: Is the same thing here, and that's why you're ending

755
00:38:16,040 --> 00:38:19,440
Speaker 1: up with fentanyl throughout the entire drug supply, leading to

756
00:38:19,480 --> 00:38:24,400
Speaker 1: these incredibly tragic outcomes. People are not choosing fentanyl, you know,

757
00:38:24,400 --> 00:38:27,239
Speaker 1: people are struggling with addiction. They're not wanting and going

758
00:38:27,239 --> 00:38:31,320
Speaker 1: out and seeking fentanyl. But because it is so concentrated

759
00:38:31,400 --> 00:38:33,520
Speaker 1: and because it's so easy for traffickers, that's how you

760
00:38:33,600 --> 00:38:35,799
Speaker 1: end up with it throughout the apply And these sociopathic

761
00:38:35,840 --> 00:38:38,600
Speaker 1: traffickers are just slipping it in basically to everything, the

762
00:38:38,600 --> 00:38:43,440
Speaker 1: easy way for drugs and all that. It really is horrible.

763
00:38:43,520 --> 00:38:46,440
Speaker 1: I also think it is worth and useful to stack

764
00:38:46,480 --> 00:38:50,239
Speaker 1: it up against omicron that we just discussed. Absolutely, imagine

765
00:38:50,280 --> 00:38:53,439
Speaker 1: if we treated it with the same level of seriousness.

766
00:38:53,600 --> 00:38:57,080
Speaker 1: The number one cause of death that we now have

767
00:38:57,680 --> 00:39:02,319
Speaker 1: people between eighteen and forty five is an illicit drug. Now,

768
00:39:02,480 --> 00:39:05,480
Speaker 1: whether you fall on drug control policy or not, we

769
00:39:05,520 --> 00:39:08,759
Speaker 1: should declare that a crisis and convene and put all

770
00:39:08,800 --> 00:39:12,960
Speaker 1: the same national level of attention and discussion and all that.

771
00:39:13,239 --> 00:39:14,640
Speaker 1: But a lot of people won't do it. And you

772
00:39:14,680 --> 00:39:17,400
Speaker 1: know why. It's because rich people and people at the

773
00:39:17,400 --> 00:39:20,759
Speaker 1: top can get omo chronic and get COVID, and the

774
00:39:20,760 --> 00:39:24,080
Speaker 1: people who are predominantly dying of this are much more poor,

775
00:39:24,360 --> 00:39:27,960
Speaker 1: disproportionately not likely to be represented in higher society. I

776
00:39:28,000 --> 00:39:29,560
Speaker 1: really think that's what it is. We also have a

777
00:39:30,400 --> 00:39:33,720
Speaker 1: moral panic around drug use that prevents us from having

778
00:39:33,840 --> 00:39:36,520
Speaker 1: like an intelligent conversation about it. So I'll give you

779
00:39:36,520 --> 00:39:38,759
Speaker 1: a perfect example of this. One of the things that

780
00:39:38,800 --> 00:39:42,000
Speaker 1: doctor Carl Hart advocates for is you should be able

781
00:39:42,280 --> 00:39:45,839
Speaker 1: there should be widespread testing capability of your drugs too.

782
00:39:46,120 --> 00:39:48,400
Speaker 1: I mean, if you're just trying to keep people from dying,

783
00:39:49,360 --> 00:39:52,239
Speaker 1: users should be able to know what is actually in

784
00:39:52,480 --> 00:39:57,840
Speaker 1: their drugs. Now, obviously I would advocate for decriminalization, you know,

785
00:39:57,920 --> 00:40:00,759
Speaker 1: the Portugal model, so that you can and you get

786
00:40:00,800 --> 00:40:03,680
Speaker 1: it from an official source, so you know that this

787
00:40:03,760 --> 00:40:06,279
Speaker 1: supply is not going to kill you and it's highly regulated.

788
00:40:06,719 --> 00:40:10,480
Speaker 1: But barring that, having just the widespread ability to know

789
00:40:10,960 --> 00:40:15,080
Speaker 1: what is in your drugs would save so many lives,

790
00:40:15,320 --> 00:40:17,279
Speaker 1: and ultimately, I mean, that's the place where we are

791
00:40:17,360 --> 00:40:20,440
Speaker 1: right now. Let's just keep people alive and give them

792
00:40:20,440 --> 00:40:24,719
Speaker 1: a chance at recovery if they're struggling with addiction. But

793
00:40:24,880 --> 00:40:28,760
Speaker 1: because we have like a lot of moral panic around

794
00:40:28,840 --> 00:40:31,239
Speaker 1: drug use, it clouds are thinking so that that's not

795
00:40:31,360 --> 00:40:34,759
Speaker 1: even no one's even courageous enough to advocate for that

796
00:40:34,920 --> 00:40:37,040
Speaker 1: or to offer that at the political level. I think

797
00:40:37,080 --> 00:40:38,759
Speaker 1: that could be part of it. I also think that

798
00:40:38,840 --> 00:40:40,360
Speaker 1: a huge part of it is also just like the

799
00:40:40,400 --> 00:40:42,520
Speaker 1: whole at the center of our culture, which is what

800
00:40:42,640 --> 00:40:44,480
Speaker 1: obviously is part of this. As you say it's a

801
00:40:44,680 --> 00:40:49,520
Speaker 1: US problem, it's clearly it's downstream of a massive number

802
00:40:49,560 --> 00:40:54,640
Speaker 1: of effects, job loss, lack of upward social mobility, inability

803
00:40:54,680 --> 00:40:57,440
Speaker 1: to find and make whatever on the male side, on

804
00:40:57,480 --> 00:41:00,160
Speaker 1: the female side, possibly you know, being abandoned. I mean,

805
00:41:00,200 --> 00:41:04,560
Speaker 1: it's just like there's so many different sociopathologies that come together.

806
00:41:04,640 --> 00:41:06,360
Speaker 1: But look, I mean, at this point, I'm just for

807
00:41:06,480 --> 00:41:08,880
Speaker 1: all any type of discussion for saying, like what the

808
00:41:08,880 --> 00:41:10,840
Speaker 1: hell are we going to do about? Yes, because it

809
00:41:11,320 --> 00:41:14,640
Speaker 1: is not declared or looked at in nearly the same

810
00:41:15,120 --> 00:41:19,200
Speaker 1: panic or you know, concern that we have around a

811
00:41:19,239 --> 00:41:21,480
Speaker 1: lot of these things. And I'll say maybe one benefit

812
00:41:21,480 --> 00:41:24,319
Speaker 1: of COVID for me personally was it made me take

813
00:41:24,360 --> 00:41:27,000
Speaker 1: my health a lot more seriously and be like, Okay,

814
00:41:27,400 --> 00:41:30,080
Speaker 1: let's have a real honest conversation here. And when you

815
00:41:30,160 --> 00:41:34,200
Speaker 1: start having real honest conversations around obesity and being overweight

816
00:41:34,520 --> 00:41:36,960
Speaker 1: and all of the downstream effects it ends up having

817
00:41:36,960 --> 00:41:38,920
Speaker 1: on your life, you can make a lot of different

818
00:41:39,239 --> 00:41:41,279
Speaker 1: unconscious life decisions say no, you know, I don't need that,

819
00:41:41,320 --> 00:41:42,560
Speaker 1: or I'm gonna do this, or I'm gonna do this

820
00:41:42,640 --> 00:41:45,160
Speaker 1: differently or whatever. There's a lot of different behaviors that

821
00:41:45,160 --> 00:41:47,160
Speaker 1: you can engage in. We don't even have the same

822
00:41:47,239 --> 00:41:49,799
Speaker 1: level of conversation around fentanyl or drug use. I think

823
00:41:49,800 --> 00:41:52,959
Speaker 1: that's a huge problem, and really to me, I mean,

824
00:41:53,280 --> 00:41:56,280
Speaker 1: we don't treat it with the seriousness that it deserves

825
00:41:56,320 --> 00:41:58,239
Speaker 1: and people should. I mean, we have a problem here

826
00:41:58,280 --> 00:42:00,400
Speaker 1: right here. You can see it all across the city,

827
00:42:00,680 --> 00:42:03,520
Speaker 1: people you know, leaning over after having just shot up,

828
00:42:03,840 --> 00:42:06,239
Speaker 1: passed out on the side. It's just no way to live,

829
00:42:06,400 --> 00:42:09,080
Speaker 1: both in having on the streets, but also for the

830
00:42:09,080 --> 00:42:12,279
Speaker 1: people themselves. I know, people whoy you know grew up

831
00:42:12,320 --> 00:42:14,960
Speaker 1: with or who ended up dying like in a McDonald's bathroom.

832
00:42:15,080 --> 00:42:17,240
Speaker 1: You can't have that, you know, you just you can't.

833
00:42:17,320 --> 00:42:19,879
Speaker 1: And it's not treated even close to the same level

834
00:42:19,880 --> 00:42:22,640
Speaker 1: of seriousness. Right and left actually do care about this

835
00:42:22,719 --> 00:42:25,839
Speaker 1: in two distinct different ways. But there is I think

836
00:42:25,920 --> 00:42:29,080
Speaker 1: some form of consensus that could possibly be reached if

837
00:42:29,120 --> 00:42:31,200
Speaker 1: we treated it with the same level of seriousness, But

838
00:42:31,239 --> 00:42:33,319
Speaker 1: a lot of elites just don't want to have that conversation. Yeah,

839
00:42:33,360 --> 00:42:35,480
Speaker 1: you know, this was one of the things that was

840
00:42:35,800 --> 00:42:38,759
Speaker 1: a real draw for Trump in twenty sixteen. Chris Christy,

841
00:42:38,760 --> 00:42:41,160
Speaker 1: do you remember that, Yes, just speech about what I

842
00:42:41,160 --> 00:42:42,960
Speaker 1: think it was a daughter or something that had a

843
00:42:42,960 --> 00:42:45,520
Speaker 1: problem with heroin use. It was a big, big moment

844
00:42:45,560 --> 00:42:47,720
Speaker 1: for it. It was a big conversation in the twenty

845
00:42:47,760 --> 00:42:51,440
Speaker 1: sixteen election. Hillary Clinton also talked about it because New

846
00:42:51,440 --> 00:42:54,120
Speaker 1: Hampshire was extraordinarily hard hit. I mean, that's part of

847
00:42:54,160 --> 00:42:56,480
Speaker 1: why a grab the national news attention because New Hampshire

848
00:42:56,480 --> 00:42:58,560
Speaker 1: obviously a key early primary state and all of that

849
00:42:58,600 --> 00:43:02,400
Speaker 1: a key swing state in general election. The numbers are

850
00:43:02,440 --> 00:43:05,200
Speaker 1: so much worse now than they were in twenty sixteen,

851
00:43:05,600 --> 00:43:09,839
Speaker 1: and it's just fallen off the national radar and so

852
00:43:10,080 --> 00:43:13,720
Speaker 1: I do think it's like, why are some deaths treated

853
00:43:13,760 --> 00:43:17,600
Speaker 1: with more seriousness and care than other deaths? And there

854
00:43:17,680 --> 00:43:20,720
Speaker 1: is a lot of like moral judgment. Like another example

855
00:43:20,760 --> 00:43:24,920
Speaker 1: of this is there's a lot less money and funding

856
00:43:24,920 --> 00:43:28,040
Speaker 1: for research for lung cancer because it's seen as like, oh, well,

857
00:43:28,040 --> 00:43:30,800
Speaker 1: it was smoke, it's your fault, right, So there's like

858
00:43:30,840 --> 00:43:33,640
Speaker 1: a contempt towards it. And I think that there's a

859
00:43:33,680 --> 00:43:38,640
Speaker 1: similar dynamic here and people. Because it's a hard problem,

860
00:43:39,040 --> 00:43:41,160
Speaker 1: people have just sort of stopped talking about it and

861
00:43:41,160 --> 00:43:44,520
Speaker 1: stopped focusing on it. But for the families that are effective,

862
00:43:44,640 --> 00:43:47,239
Speaker 1: that you know, have lost loved ones, which there are

863
00:43:47,400 --> 00:43:51,359
Speaker 1: so many in this country now, it's absolutely devastating and

864
00:43:51,760 --> 00:43:54,279
Speaker 1: people deserve a lot better. So we're not going to

865
00:43:54,320 --> 00:43:56,720
Speaker 1: let it fall off of our radar, so to speak,

866
00:43:56,760 --> 00:43:58,640
Speaker 1: and continue to bring you the updates. But so far

867
00:43:58,680 --> 00:44:01,719
Speaker 1: they've been very grim. Right, all right, no way to

868
00:44:01,760 --> 00:44:04,880
Speaker 1: make this turn. Let's talk about Kamla Harrison Truman the God.

869
00:44:06,800 --> 00:44:09,000
Speaker 1: So I guess he has another show. I didn't know this.

870
00:44:09,440 --> 00:44:12,160
Speaker 1: It's like a comedy sentence show. Different shows. I don't

871
00:44:12,200 --> 00:44:14,000
Speaker 1: really anyways, I just watched one of him in it.

872
00:44:14,680 --> 00:44:16,640
Speaker 1: So much respect for this guy, I have to say,

873
00:44:16,880 --> 00:44:20,320
Speaker 1: such a good interviewer that somehow he always gets something

874
00:44:20,440 --> 00:44:23,960
Speaker 1: revealing out of whoever he's interviewing. Obviously had that famous

875
00:44:23,960 --> 00:44:26,759
Speaker 1: exchange with Elizabeth Warne music. It's just pure reverence. He's like,

876
00:44:26,760 --> 00:44:28,800
Speaker 1: I don't care about you. You're here on my show.

877
00:44:28,960 --> 00:44:31,400
Speaker 1: I have a massive show. Tell me and I'm going

878
00:44:31,440 --> 00:44:34,160
Speaker 1: to speak to you exactly as if you were famous. Yeah,

879
00:44:34,160 --> 00:44:36,759
Speaker 1: he doesn't. He's not impressed, right, and he doesn't care

880
00:44:36,760 --> 00:44:40,080
Speaker 1: if you come back. He doesn't major like, you know, approval.

881
00:44:40,239 --> 00:44:43,440
Speaker 1: He doesn't need access to the club here. He's not

882
00:44:43,560 --> 00:44:47,120
Speaker 1: part of that clique. And so he just actually ask

883
00:44:47,200 --> 00:44:49,280
Speaker 1: people whatever he wants to ask him. So with Warren,

884
00:44:49,360 --> 00:44:51,719
Speaker 1: he was like, so what you're the new Rachel Tisial

885
00:44:52,800 --> 00:44:57,000
Speaker 1: and what said it? With Vice President Harris, he asked her, so, hey,

886
00:44:57,120 --> 00:44:59,839
Speaker 1: who's who's the real president of the United States? Here?

887
00:44:59,880 --> 00:45:02,080
Speaker 1: Is Joe Biden or is it Joe Manchin. Let's take

888
00:45:02,120 --> 00:45:05,319
Speaker 1: a listen how that went. Who's the superhero that's gonna

889
00:45:05,320 --> 00:45:10,120
Speaker 1: speak against Joe Mansion. I want to know who's the

890
00:45:10,160 --> 00:45:12,279
Speaker 1: real president of this country? Is it? Is it Joe

891
00:45:12,320 --> 00:45:21,880
Speaker 1: Biden and Joe Manchin? It's far She can hear me?

892
00:45:25,120 --> 00:45:27,919
Speaker 1: Can you hear me? Now? Can you hear me? Madam

893
00:45:28,000 --> 00:45:34,719
Speaker 1: Vice President? They're acting like they can't hear me, I

894
00:45:34,760 --> 00:45:37,200
Speaker 1: can hear you. So who's the real So who's the

895
00:45:37,200 --> 00:45:39,360
Speaker 1: real president of this country? Is it Joe Mansion and

896
00:45:39,440 --> 00:45:43,920
Speaker 1: Joe Biden? Madam Vice President? I really it's Jo I

897
00:45:43,920 --> 00:45:49,200
Speaker 1: can't no, no, no, no, it's Joe Biden. And don't

898
00:45:49,400 --> 00:45:53,000
Speaker 1: start talking like a Republican about asking whether or not

899
00:45:53,040 --> 00:45:55,960
Speaker 1: he's president? Do you think is a problem? And it's

900
00:45:56,040 --> 00:45:59,080
Speaker 1: Joe And it's Joe Biden, And I'm Vice president. My

901
00:45:59,160 --> 00:46:05,160
Speaker 1: name is Kamala Harris. There's a lot that's really interesting

902
00:46:05,200 --> 00:46:07,000
Speaker 1: and reeling about that. First of all, I did. I

903
00:46:07,080 --> 00:46:10,840
Speaker 1: went and watched the entire interview, and most of it was,

904
00:46:10,960 --> 00:46:14,440
Speaker 1: you know, fairly friendly. He pushes her on a few things,

905
00:46:14,600 --> 00:46:18,359
Speaker 1: but Simone Sanders starts saying, hey, it's time to wrap. Yes,

906
00:46:18,480 --> 00:46:20,279
Speaker 1: and that's who you hear come in. It comes in.

907
00:46:20,320 --> 00:46:21,960
Speaker 1: That's why it's off, Mike. It's a little bit. And

908
00:46:22,000 --> 00:46:24,360
Speaker 1: she's like, we can't hear you. We have to wrap.

909
00:46:24,480 --> 00:46:27,120
Speaker 1: Charlie made we have to wrap. Yeah, And he was like, oh,

910
00:46:27,160 --> 00:46:29,400
Speaker 1: they're pretending like they can't hear me. Now he's like

911
00:46:29,440 --> 00:46:31,279
Speaker 1: she can hear me, And you can see Kamlo's face

912
00:46:31,320 --> 00:46:33,440
Speaker 1: is sort of like frozen, like what do I do

913
00:46:33,520 --> 00:46:36,760
Speaker 1: in this situation? And of course the reality is this,

914
00:46:36,760 --> 00:46:42,839
Speaker 1: this was recorded before Mansion totally you know, killed Bill

915
00:46:42,920 --> 00:46:46,239
Speaker 1: back better and with it the Biden presidency. But we

916
00:46:46,280 --> 00:46:48,160
Speaker 1: all know what the answer to, the real answer to

917
00:46:48,200 --> 00:46:50,200
Speaker 1: the question. We do know the real answer. And look,

918
00:46:50,239 --> 00:46:52,439
Speaker 1: I mean yes, it's a Republican meme, but it gets

919
00:46:52,480 --> 00:46:55,080
Speaker 1: it something and strikes the core for a reason, which

920
00:46:55,120 --> 00:46:57,759
Speaker 1: is because where is the guy? What does he do

921
00:46:57,880 --> 00:47:01,520
Speaker 1: all day? I literally don't know. I mean, look, he's

922
00:47:01,760 --> 00:47:05,040
Speaker 1: completely inarticulate, doesn't have a real vision for the country,

923
00:47:05,200 --> 00:47:09,000
Speaker 1: projects no real confidence in our ability in order to

924
00:47:09,040 --> 00:47:11,439
Speaker 1: exit the crisis for which he was elected to get

925
00:47:11,480 --> 00:47:14,760
Speaker 1: us out of, which was COVID. And I just see

926
00:47:14,800 --> 00:47:18,240
Speaker 1: a failure on every level as commander in chief. Ability

927
00:47:18,239 --> 00:47:22,800
Speaker 1: to pass legislation, failure, ability to inspire confidence, failure, even

928
00:47:22,960 --> 00:47:26,920
Speaker 1: let's say inspired your own base. Right, this was Trump's

929
00:47:26,920 --> 00:47:29,200
Speaker 1: great victory of all things. He was a very good

930
00:47:29,280 --> 00:47:31,759
Speaker 1: leader of the Republican Party to his own ends. His

931
00:47:31,840 --> 00:47:35,960
Speaker 1: people loved him. Joe Biden has no confidence amongst most Democrats,

932
00:47:36,120 --> 00:47:38,160
Speaker 1: only forty something percent of them even want him to

933
00:47:38,280 --> 00:47:42,360
Speaker 1: run again for president. I mean every lever, every level,

934
00:47:43,000 --> 00:47:45,520
Speaker 1: leader of the party, failure, leader of the country, failure,

935
00:47:45,800 --> 00:47:48,319
Speaker 1: ability to pass legislation, even though he ran on that.

936
00:47:48,560 --> 00:47:51,319
Speaker 1: I was in the Senate. I know these guys, I'm

937
00:47:51,360 --> 00:47:53,520
Speaker 1: the deal maker. Blah blah blah. Failure. I mean, he

938
00:47:53,520 --> 00:47:56,279
Speaker 1: passed one piece of legislation, just like Obama before you,

939
00:47:56,480 --> 00:47:59,160
Speaker 1: and just like Trump before that. It's like, oh so, actually,

940
00:47:59,360 --> 00:48:02,160
Speaker 1: literally nothing has changed in the last twenty years of

941
00:48:02,200 --> 00:48:05,920
Speaker 1: the American middle American political system. I guess in some

942
00:48:05,960 --> 00:48:09,000
Speaker 1: ways it's admirable, but this man has remained so naive

943
00:48:09,120 --> 00:48:11,839
Speaker 1: about politics over the course of his forty years, like

944
00:48:12,000 --> 00:48:14,520
Speaker 1: serves him well. In you really thought it was going

945
00:48:14,600 --> 00:48:17,400
Speaker 1: to mean something that he invited Joe manchinto his home

946
00:48:17,960 --> 00:48:20,600
Speaker 1: to try to, you know, twist his arm on build

947
00:48:20,640 --> 00:48:23,319
Speaker 1: back better. Like that's not going to do anything. If

948
00:48:23,360 --> 00:48:25,920
Speaker 1: you want to, you know, you're gonna have to play hardball.

949
00:48:25,960 --> 00:48:28,879
Speaker 1: You're gonna have to, you know, get make it uncomfortable

950
00:48:28,920 --> 00:48:32,640
Speaker 1: for him. And there was no no willingness or ability

951
00:48:32,719 --> 00:48:36,120
Speaker 1: ultimately to do that. Back to Kamala's comments here, The

952
00:48:36,160 --> 00:48:38,480
Speaker 1: other thing that really irritates me is she's like, don't

953
00:48:38,480 --> 00:48:40,719
Speaker 1: talk like a Republican. And if you listen to the

954
00:48:40,880 --> 00:48:45,040
Speaker 1: entire interview, that was her go to maneuver when Charlotte

955
00:48:45,040 --> 00:48:47,440
Speaker 1: Manine would challenge her on you know, well, why is

956
00:48:47,480 --> 00:48:50,560
Speaker 1: the build back better hamstrung? Why haven't you done what

957
00:48:50,600 --> 00:48:53,880
Speaker 1: you need to do on voting rights? And effectively the

958
00:48:53,960 --> 00:48:56,960
Speaker 1: message was, well, sure we've got problems here, but the

959
00:48:56,960 --> 00:49:00,360
Speaker 1: Republicans are worse. The Republicans are worse. Sure, fine, but

960
00:49:00,400 --> 00:49:04,040
Speaker 1: that doesn't ultimately like deliver anything for people. But that's

961
00:49:04,080 --> 00:49:06,879
Speaker 1: all they've got. That's all they've got. And so when

962
00:49:06,880 --> 00:49:10,120
Speaker 1: he asked her a difficult question there, rather than you know,

963
00:49:10,239 --> 00:49:12,799
Speaker 1: being honest about where they are at this point, which

964
00:49:12,840 --> 00:49:16,600
Speaker 1: has become manifestly clear to absolutely everyone, she's got to

965
00:49:16,600 --> 00:49:19,440
Speaker 1: throw out stop talking like a Republican. That's like the

966
00:49:19,520 --> 00:49:23,680
Speaker 1: ultimate you know, it's the ultimate smear and the ultimate distractions.

967
00:49:23,760 --> 00:49:26,120
Speaker 1: It's ultimately all they've got. And you know, I saw this.

968
00:49:26,200 --> 00:49:29,799
Speaker 1: I tweeted down some stuff about the Kamala interview and

969
00:49:29,880 --> 00:49:32,600
Speaker 1: got all kinds of you know, pushback from her. Stand

970
00:49:32,680 --> 00:49:34,719
Speaker 1: What was the pushback, Well, it was the same thing.

971
00:49:34,880 --> 00:49:38,480
Speaker 1: It was you know, well, the Republicans are worse. It's like, Okay,

972
00:49:38,840 --> 00:49:41,720
Speaker 1: I one hundred percent agree with you. I totally agree

973
00:49:41,719 --> 00:49:43,879
Speaker 1: with you. These are the people who are in power

974
00:49:43,960 --> 00:49:45,719
Speaker 1: right now. So what are you going to do about that?

975
00:49:46,040 --> 00:49:49,080
Speaker 1: I mean, are is that talking point? The Republicans are worse?

976
00:49:49,160 --> 00:49:50,919
Speaker 1: Is that going to like, you know, feed the kids

977
00:49:50,920 --> 00:49:53,120
Speaker 1: who are going to stay in poverty because they don't

978
00:49:53,160 --> 00:49:56,400
Speaker 1: have the child to ask credit? No, it's not. And ultimately,

979
00:49:56,840 --> 00:49:59,479
Speaker 1: you know, I'm talking in my monologue today about how

980
00:50:00,320 --> 00:50:05,320
Speaker 1: young voters have moved on Biden by a net fifty points.

981
00:50:06,280 --> 00:50:08,640
Speaker 1: They gave him this highest approval ratings that the begin

982
00:50:08,719 --> 00:50:11,960
Speaker 1: in ICs administration and now it's his lowest approval ratings

983
00:50:12,280 --> 00:50:17,239
Speaker 1: of every demographic group. Why, because they're not impressed with

984
00:50:17,360 --> 00:50:20,320
Speaker 1: your All we have to do is be like moderately

985
00:50:20,360 --> 00:50:23,680
Speaker 1: better than Republicans talking point? So are they going to

986
00:50:23,719 --> 00:50:26,319
Speaker 1: turn into Republicans? No? Are they going to show up

987
00:50:26,360 --> 00:50:28,600
Speaker 1: for you in the mid terms or next time you

988
00:50:28,760 --> 00:50:31,080
Speaker 1: tell them, oh, it's existential and we're going to save

989
00:50:31,120 --> 00:50:34,440
Speaker 1: the Planner? Are they going to believe you? No? So

990
00:50:34,800 --> 00:50:36,840
Speaker 1: that was the other thing about this that was pathetic

991
00:50:36,840 --> 00:50:39,080
Speaker 1: to me is they just have nothing else and nowhere

992
00:50:39,120 --> 00:50:41,560
Speaker 1: else to go than to just you know, other Republicans

993
00:50:41,600 --> 00:50:44,680
Speaker 1: are bad. Okay, great, congratulations, that's why you have a

994
00:50:44,680 --> 00:50:47,400
Speaker 1: twenty percent approval rating too. By the way, I've also

995
00:50:47,520 --> 00:50:50,680
Speaker 1: hated her faux outrage, Like, come on, Charlie. It's like, actually,

996
00:50:50,840 --> 00:50:53,319
Speaker 1: it's a pretty good question. Who runs the country? Is

997
00:50:53,320 --> 00:50:56,080
Speaker 1: it Joe Biden or Joe Manchin? And actually the answer

998
00:50:56,080 --> 00:50:59,000
Speaker 1: to that question was revealed this morning. Uh and Joe Biden,

999
00:50:59,040 --> 00:51:03,439
Speaker 1: I've revealed it very clear complete inability to pass any

1000
00:51:03,480 --> 00:51:07,080
Speaker 1: real legislation. The other part of it, too, is this

1001
00:51:07,120 --> 00:51:09,719
Speaker 1: is a media thing. Can you imagine if she ever

1002
00:51:09,760 --> 00:51:11,520
Speaker 1: got a question like that from a member of the

1003
00:51:11,600 --> 00:51:14,240
Speaker 1: DC press, it would just never happen. It's like, only

1004
00:51:14,280 --> 00:51:18,319
Speaker 1: because he has complete irreverence, doesn't care. No, he has

1005
00:51:18,360 --> 00:51:21,439
Speaker 1: a massive audience of people who watches him. He's like, look,

1006
00:51:21,480 --> 00:51:23,359
Speaker 1: you're gonna pretend you can't hear me. I'm gonna call

1007
00:51:23,400 --> 00:51:26,319
Speaker 1: you out live on the air. That's amazing. I love

1008
00:51:26,400 --> 00:51:29,759
Speaker 1: that nobody is willing to deal with her office in

1009
00:51:29,840 --> 00:51:32,080
Speaker 1: the same way. You guys. I can tell you from

1010
00:51:32,120 --> 00:51:35,000
Speaker 1: the inside, the stuff I am hearing from people in

1011
00:51:35,040 --> 00:51:37,960
Speaker 1: the White House Press Corps about how these people operate

1012
00:51:38,239 --> 00:51:42,160
Speaker 1: from the background. If you insinuate in a story that

1013
00:51:42,239 --> 00:51:45,240
Speaker 1: she's unpopular, they call you a sexist and a racist.

1014
00:51:45,440 --> 00:51:48,319
Speaker 1: And that is why in almost every single major national

1015
00:51:48,400 --> 00:51:51,000
Speaker 1: press story in this country, if you are writing a

1016
00:51:51,000 --> 00:51:55,320
Speaker 1: story about Kamala Harris's struggles, Kamala Harris's staff turnover, Kamala

1017
00:51:55,360 --> 00:51:59,440
Speaker 1: Harris's deep unpopularity, Kamala Harris's inability to manage everything, you

1018
00:51:59,440 --> 00:52:03,120
Speaker 1: will see the one inserted. Her defenders say that it's

1019
00:52:03,200 --> 00:52:06,279
Speaker 1: just racism and sexism. She's held to a higher standard. No,

1020
00:52:06,480 --> 00:52:09,040
Speaker 1: we hold her the same standard that we hold all politicians.

1021
00:52:09,120 --> 00:52:11,279
Speaker 1: Your phony, and you're terrible at your job, and you

1022
00:52:11,360 --> 00:52:14,239
Speaker 1: clearly have no actual empathy for most people who are

1023
00:52:14,239 --> 00:52:16,840
Speaker 1: in the country. That's the problem. I mean, whether you

1024
00:52:16,840 --> 00:52:18,440
Speaker 1: can fix that or not, I don't know. I think

1025
00:52:18,480 --> 00:52:21,239
Speaker 1: it's pretty innate. But when you look at where and

1026
00:52:21,280 --> 00:52:24,520
Speaker 1: how she operates, she has the gall or. She has

1027
00:52:24,560 --> 00:52:27,319
Speaker 1: this like gall on her face when you confront her

1028
00:52:27,360 --> 00:52:29,640
Speaker 1: with the truth and reality. And that's as much of

1029
00:52:29,680 --> 00:52:32,200
Speaker 1: a media criticism as anything else because it just so

1030
00:52:32,360 --> 00:52:35,560
Speaker 1: rarely happens. Once in a blue moon, so rarely happened.

1031
00:52:35,600 --> 00:52:37,480
Speaker 1: And by the way, not just with Kamala. I mean,

1032
00:52:37,520 --> 00:52:40,520
Speaker 1: it so rarely happens that any of these politicians good

1033
00:52:40,600 --> 00:52:44,000
Speaker 1: difficult questions. Trump would only go and talk to like

1034
00:52:44,080 --> 00:52:46,840
Speaker 1: Sean Hannity, you know, somebody who interviewed him. It was

1035
00:52:46,920 --> 00:52:49,759
Speaker 1: very tough to He would get really mad whenever you yeah,

1036
00:52:50,200 --> 00:52:53,000
Speaker 1: I mean, and you know, Sarah Sanders would be there

1037
00:52:53,000 --> 00:52:56,279
Speaker 1: trying to pull you away and whatever, like you know,

1038
00:52:56,320 --> 00:52:59,920
Speaker 1: I mean, that's the other thing that's embarrassing with Simone's

1039
00:53:00,200 --> 00:53:03,360
Speaker 1: someone clearly knows her boss is probably not going to

1040
00:53:03,520 --> 00:53:06,919
Speaker 1: be able to handle this that well, and so rather

1041
00:53:07,000 --> 00:53:09,480
Speaker 1: like I mean, because it looks really desperate and sad

1042
00:53:09,640 --> 00:53:12,560
Speaker 1: when you have the staffer on camera like trying to

1043
00:53:12,640 --> 00:53:17,040
Speaker 1: save in real time the politician. Not a good look.

1044
00:53:17,280 --> 00:53:20,160
Speaker 1: So anyway, but Simone Sanders, like many other members of

1045
00:53:20,200 --> 00:53:22,400
Speaker 1: the Kambla team, on her way out, you know what

1046
00:53:22,440 --> 00:53:26,120
Speaker 1: I heard, Crystal. I heard every network in Washington is

1047
00:53:26,160 --> 00:53:28,400
Speaker 1: trying to scope her for a position and they are

1048
00:53:28,440 --> 00:53:32,200
Speaker 1: even considering her giving a prime time spot on MSNBC. WHOA.

1049
00:53:32,719 --> 00:53:35,359
Speaker 1: So that's the country we live in, folks. You can

1050
00:53:35,360 --> 00:53:37,719
Speaker 1: fail on up to the White House work for one

1051
00:53:37,719 --> 00:53:40,200
Speaker 1: of the worst vice presidents in modern history and then

1052
00:53:40,280 --> 00:53:42,320
Speaker 1: fail on up to one of the top networks in

1053
00:53:42,360 --> 00:53:45,239
Speaker 1: the country. Well, and also, I mean, I don't know

1054
00:53:45,320 --> 00:53:47,680
Speaker 1: if Simone Sanders like I don't know what her core

1055
00:53:47,800 --> 00:53:54,360
Speaker 1: principles are, but she jumped from Joe Biden thinking he

1056
00:53:54,520 --> 00:53:56,600
Speaker 1: was the winning worse. She was right she ultimately she

1057
00:53:56,680 --> 00:54:00,239
Speaker 1: was right to clear, but then she ends up rather

1058
00:54:00,239 --> 00:54:02,920
Speaker 1: than being on his team, she's on Kamala Harris's team

1059
00:54:03,120 --> 00:54:06,160
Speaker 1: and really kind of in the background. I mean, they

1060
00:54:06,760 --> 00:54:09,520
Speaker 1: she's a very obviously, she's very like I don't spoken,

1061
00:54:09,600 --> 00:54:12,520
Speaker 1: she's very comfortable in front of the camera and you know,

1062
00:54:12,640 --> 00:54:16,200
Speaker 1: has a level of charisma, So I think she didn't

1063
00:54:16,280 --> 00:54:19,719
Speaker 1: necessarily enjoy being behind the scenes in the slot they

1064
00:54:19,719 --> 00:54:22,400
Speaker 1: put her in. That's right, Okay, let's move on to

1065
00:54:22,680 --> 00:54:26,840
Speaker 1: there's a new investigation here around January sixth and some

1066
00:54:26,920 --> 00:54:30,720
Speaker 1: of the unindicted co conspirators. We've brought you previous news

1067
00:54:30,800 --> 00:54:34,320
Speaker 1: around Ray Epps. We played that collage video. He was

1068
00:54:34,360 --> 00:54:37,480
Speaker 1: a gentleman who as early as January five, a protester

1069
00:54:37,960 --> 00:54:39,520
Speaker 1: was saying, over and over again, we have to go

1070
00:54:39,560 --> 00:54:41,480
Speaker 1: inside the capitol. We have to go inside the capitol.

1071
00:54:41,640 --> 00:54:44,960
Speaker 1: To this date, mister Epps remains unindicted by the federal government,

1072
00:54:45,000 --> 00:54:46,759
Speaker 1: despite the fact that we know his name. He was

1073
00:54:46,800 --> 00:54:49,640
Speaker 1: written up at the time in Arizona press as having

1074
00:54:49,680 --> 00:54:52,919
Speaker 1: breached the capital and paid a central role within that. Well,

1075
00:54:53,080 --> 00:54:56,600
Speaker 1: the site that brought ray Epps to prominence has published

1076
00:54:56,600 --> 00:54:59,799
Speaker 1: a follow on investigation on some other characters who also

1077
00:55:00,080 --> 00:55:03,520
Speaker 1: main unindicted and also played key roles within the January

1078
00:55:03,520 --> 00:55:06,879
Speaker 1: sixth Capital breach itself. Once again, to be clear, they

1079
00:55:06,920 --> 00:55:10,200
Speaker 1: are unindicted co conspirators. It is not. You know, there

1080
00:55:10,280 --> 00:55:13,480
Speaker 1: is no evidence other than their lack of indictment to

1081
00:55:13,520 --> 00:55:17,759
Speaker 1: suggest their involvement by cops or their affiliation all of that.

1082
00:55:18,080 --> 00:55:20,719
Speaker 1: But we have covered here previously on the show that

1083
00:55:20,960 --> 00:55:23,960
Speaker 1: many federal cooperators and informants and more are often given

1084
00:55:24,000 --> 00:55:27,279
Speaker 1: preferential treatment in the justice system, not indicted, allowed to

1085
00:55:27,280 --> 00:55:30,040
Speaker 1: commit crimes, and in some cases directed by the Feds

1086
00:55:30,239 --> 00:55:33,120
Speaker 1: in exchange for working at a higher purpose. Putting that

1087
00:55:33,160 --> 00:55:35,120
Speaker 1: all out there, also, the site that came out with

1088
00:55:35,160 --> 00:55:39,200
Speaker 1: this is let's just say hard right. And also it's

1089
00:55:39,320 --> 00:55:41,560
Speaker 1: very poorly written. That's part of the other problem. Yeah,

1090
00:55:41,560 --> 00:55:45,040
Speaker 1: I mean, if you read this report, it reads very

1091
00:55:45,239 --> 00:55:49,479
Speaker 1: like conspiracy theory. It would be down the rabbit hole.

1092
00:55:49,800 --> 00:55:51,480
Speaker 1: He would do himself well if he downed it back

1093
00:55:51,600 --> 00:55:54,120
Speaker 1: like do it straight. I mean, just the photos and

1094
00:55:54,160 --> 00:55:57,240
Speaker 1: the descriptions alone would do yourselves. That's because I encourage

1095
00:55:57,239 --> 00:55:59,439
Speaker 1: you all to go read this for yourself. Now, let's

1096
00:55:59,440 --> 00:56:01,040
Speaker 1: get into it. Put it up there on the screen.

1097
00:56:01,320 --> 00:56:04,000
Speaker 1: This is from Revolver. Revolver News for a pro Trump outlet.

1098
00:56:04,239 --> 00:56:06,239
Speaker 1: As I said, that being said has done some of

1099
00:56:06,239 --> 00:56:09,080
Speaker 1: the best work and the most investigation on this. That's

1100
00:56:09,120 --> 00:56:11,799
Speaker 1: just the simple truth. There are three characters that they

1101
00:56:11,800 --> 00:56:15,600
Speaker 1: focus on in the investigation here Crystal around the unindicted

1102
00:56:15,640 --> 00:56:19,280
Speaker 1: operators who are actually at the heart of January sixth,

1103
00:56:19,560 --> 00:56:22,680
Speaker 1: And what they point to in the investigation is that

1104
00:56:22,920 --> 00:56:25,840
Speaker 1: there was a particular breech site, that one where we

1105
00:56:25,880 --> 00:56:29,080
Speaker 1: all famously have seen where Ray Epps along with others

1106
00:56:29,080 --> 00:56:32,280
Speaker 1: were fighting back and forth with the Capitol police officers

1107
00:56:32,520 --> 00:56:34,920
Speaker 1: with the barricades. That was the initial way that the

1108
00:56:34,920 --> 00:56:38,279
Speaker 1: protesters ultimately got inside of the Capitol. And there were

1109
00:56:38,360 --> 00:56:41,600
Speaker 1: three people there who they have focused on focused in

1110
00:56:41,680 --> 00:56:46,239
Speaker 1: on via a video and open source investigation. They all

1111
00:56:46,280 --> 00:56:50,239
Speaker 1: have nicknames for They all have nicknames in terms of

1112
00:56:50,640 --> 00:56:55,520
Speaker 1: online salutes. The first one that they dub is fence

1113
00:56:55,800 --> 00:56:59,040
Speaker 1: cutter Bulwark. The reason why they say that is because

1114
00:56:59,200 --> 00:57:01,719
Speaker 1: he was a man who cut a fence, and Bulwark

1115
00:57:01,960 --> 00:57:04,880
Speaker 1: is actually the name of a fire retardant suit that

1116
00:57:04,920 --> 00:57:07,520
Speaker 1: he was actually wearing at the time. A little weird

1117
00:57:07,680 --> 00:57:11,000
Speaker 1: come prepared for it wears that everybody, Yeah, everyone just

1118
00:57:11,040 --> 00:57:15,320
Speaker 1: has casual access to fire retardant suit anyway. So currently,

1119
00:57:16,000 --> 00:57:19,880
Speaker 1: mister Bulwark, he was actually standing right next to the

1120
00:57:19,920 --> 00:57:23,440
Speaker 1: quote unquote breach site at twelve thirty one pm, that

1121
00:57:23,600 --> 00:57:26,920
Speaker 1: was twenty minutes before the breach at the Capitol actually

1122
00:57:27,040 --> 00:57:29,760
Speaker 1: kicked off. He was what he was doing there, He

1123
00:57:29,840 --> 00:57:33,000
Speaker 1: was doing nothing except looking out past the fencing that

1124
00:57:33,080 --> 00:57:36,640
Speaker 1: he ultimately would take down. Now. Perched right next to

1125
00:57:36,720 --> 00:57:40,640
Speaker 1: him was another man who is widely regarded as online

1126
00:57:40,680 --> 00:57:44,640
Speaker 1: researchers as quote the most famous of the unindicted co conspirators,

1127
00:57:44,840 --> 00:57:47,280
Speaker 1: who is a man unmentioned in the mainstream pass but

1128
00:57:47,400 --> 00:57:51,000
Speaker 1: elevated and known as quote Northwest Scaffold Commander. And the

1129
00:57:51,040 --> 00:57:53,640
Speaker 1: reason why is because he was on some scaffolding at

1130
00:57:53,640 --> 00:57:56,560
Speaker 1: the northwest end of the Capitol. He was pictured there

1131
00:57:56,840 --> 00:58:00,000
Speaker 1: and he is quote an extremely peculiar middle aged man

1132
00:58:00,080 --> 00:58:02,800
Speaker 1: with glasses, a mask and a blue baseball cap that

1133
00:58:02,880 --> 00:58:06,520
Speaker 1: has been assigned notoriety because what he was able to

1134
00:58:06,560 --> 00:58:08,560
Speaker 1: do is that he was at the very very top

1135
00:58:08,600 --> 00:58:11,880
Speaker 1: of the scaffolding shouting orders and has been regarded through

1136
00:58:11,920 --> 00:58:14,840
Speaker 1: some open source investigation as one of the ring leaders

1137
00:58:15,120 --> 00:58:18,120
Speaker 1: and telling them to go forward. The thing is is

1138
00:58:18,160 --> 00:58:22,200
Speaker 1: that all of these men remain not only unindicted crystal

1139
00:58:22,440 --> 00:58:26,000
Speaker 1: by the FBI, but also are not even being searched for.

1140
00:58:26,120 --> 00:58:28,280
Speaker 1: You know, we know there are people on that list

1141
00:58:28,320 --> 00:58:30,960
Speaker 1: who are like grandmas who kind of you know, went

1142
00:58:31,040 --> 00:58:34,080
Speaker 1: into the Capitol or not. These people, despite having their

1143
00:58:34,080 --> 00:58:38,120
Speaker 1: faces known, are not currently been indicted by the federal government.

1144
00:58:38,160 --> 00:58:40,960
Speaker 1: The third person who I'll mention he is going by

1145
00:58:40,960 --> 00:58:44,840
Speaker 1: the nickname of Black ski Mask, and the really odd

1146
00:58:44,880 --> 00:58:47,360
Speaker 1: one in the case of the sche Mask is that

1147
00:58:47,920 --> 00:58:50,720
Speaker 1: he is not being prosecuted despite the fact that they

1148
00:58:50,840 --> 00:58:53,720
Speaker 1: know who he is. And the reason they know who

1149
00:58:53,760 --> 00:58:56,640
Speaker 1: he is is that there's already a police report on

1150
00:58:56,720 --> 00:59:01,320
Speaker 1: him because on January five, Black Scheme Macs was yanked

1151
00:59:01,360 --> 00:59:04,920
Speaker 1: out of a bus by dozens of police officers who

1152
00:59:05,000 --> 00:59:08,400
Speaker 1: suspected that his vehicle was packed with guns and bombs.

1153
00:59:08,840 --> 00:59:12,160
Speaker 1: The bus was stopped right in front of the Justice Department,

1154
00:59:12,480 --> 00:59:16,040
Speaker 1: and actually they went ahead and took a DNA sample

1155
00:59:16,120 --> 00:59:19,520
Speaker 1: for him, but he was mysteriously let go and remains

1156
00:59:19,600 --> 00:59:24,520
Speaker 1: currently an unprosecuted face who's actually on the most wanted

1157
00:59:24,560 --> 00:59:28,200
Speaker 1: list eleven months later, despite the fact that we know

1158
00:59:28,320 --> 00:59:31,440
Speaker 1: who he is. He was stopped by the cops, clearly

1159
00:59:31,520 --> 00:59:35,240
Speaker 1: present and played another integral role. So what this investigation

1160
00:59:35,320 --> 00:59:38,640
Speaker 1: does is it points at open source data. Like I said,

1161
00:59:38,800 --> 00:59:40,480
Speaker 1: encourage you all to read it for yourselves, despite the

1162
00:59:40,480 --> 00:59:43,560
Speaker 1: fact that it's not very well written, and it points

1163
00:59:43,640 --> 00:59:48,000
Speaker 1: a picture of there are three men, including mister Rapp

1164
00:59:48,120 --> 00:59:50,760
Speaker 1: or sorry, three in addition to mister ray Apps, who

1165
00:59:50,800 --> 00:59:53,760
Speaker 1: did play a very central role in actually the initial

1166
00:59:53,760 --> 00:59:57,760
Speaker 1: breach of the Capitol itself, who in very sketchy circumstances,

1167
00:59:57,880 --> 01:00:00,240
Speaker 1: have not currently been indicted by the federal government. Yeah,

1168
01:00:00,320 --> 01:00:03,000
Speaker 1: nearly eleven months later, while the q Andon Shaman has

1169
01:00:03,040 --> 01:00:05,640
Speaker 1: got like four years. Yeah. So to take this out

1170
01:00:05,680 --> 01:00:08,880
Speaker 1: of like a partisan context, first of all, I want

1171
01:00:08,920 --> 01:00:11,880
Speaker 1: to say that the number one person responsible for the

1172
01:00:11,920 --> 01:00:14,200
Speaker 1: events of January six is Donald Trump. Yes, created the

1173
01:00:14,200 --> 01:00:18,040
Speaker 1: conditions we're going in the lies, riled up the crowd,

1174
01:00:18,280 --> 01:00:20,160
Speaker 1: told him to go to the Capitol and then, even

1175
01:00:20,200 --> 01:00:23,600
Speaker 1: after it's happening, does nothing, in spite of apparently being

1176
01:00:23,600 --> 01:00:26,640
Speaker 1: besieged by everybody knew, including his own son and every

1177
01:00:26,680 --> 01:00:29,200
Speaker 1: Fox News host that you could think of, to please

1178
01:00:29,560 --> 01:00:31,840
Speaker 1: say something and do something to stop all of this.

1179
01:00:31,920 --> 01:00:36,640
Speaker 1: So let's just say that number one, number two Soccer

1180
01:00:36,640 --> 01:00:39,760
Speaker 1: and I have been far from impressed by the January

1181
01:00:39,840 --> 01:00:43,320
Speaker 1: sixth Commission because it is a partisan exercise, you know,

1182
01:00:43,400 --> 01:00:46,400
Speaker 1: that has the potential to be used to justify further

1183
01:00:46,480 --> 01:00:49,560
Speaker 1: national security state crackdown, and that is our concern. However,

1184
01:00:49,920 --> 01:00:54,360
Speaker 1: I think actually knowing both the cultural and society wide

1185
01:00:54,400 --> 01:00:57,040
Speaker 1: conditions that led to such a horrific day instead of

1186
01:00:57,080 --> 01:01:00,760
Speaker 1: events as January sixth, but also specifically what happened on

1187
01:01:00,800 --> 01:01:03,640
Speaker 1: that day, I do think those are things that every

1188
01:01:03,680 --> 01:01:07,480
Speaker 1: American should be concerned arvery and the fact, let's say

1189
01:01:07,480 --> 01:01:10,360
Speaker 1: that you're a liberal looking at this, you should be

1190
01:01:10,400 --> 01:01:15,800
Speaker 1: completely outraged that three four actually of the most significant

1191
01:01:15,920 --> 01:01:19,560
Speaker 1: ring leaders, just looking at the video evidence, that they

1192
01:01:19,680 --> 01:01:24,200
Speaker 1: remain unindicted. That we don't know, you know, who these

1193
01:01:24,200 --> 01:01:27,280
Speaker 1: guys are, what they were up to, what their defense is,

1194
01:01:27,360 --> 01:01:30,640
Speaker 1: what their intentions were. Was this plotted in advance that

1195
01:01:30,680 --> 01:01:33,360
Speaker 1: we don't know those basic questions and apparently the FBI

1196
01:01:33,400 --> 01:01:37,080
Speaker 1: isn't even really looking for them. You should be outraged

1197
01:01:37,520 --> 01:01:41,440
Speaker 1: by that, regardless of what ends up ultimately happening. But

1198
01:01:41,520 --> 01:01:44,880
Speaker 1: when you look at this, it is really bizarre because

1199
01:01:44,880 --> 01:01:47,320
Speaker 1: you have you know, Rayps who we talked about before,

1200
01:01:47,320 --> 01:01:51,320
Speaker 1: But you've got this guy who's going through methodically cutting

1201
01:01:51,360 --> 01:01:54,760
Speaker 1: down the wire fencing and opening it up so people

1202
01:01:54,840 --> 01:01:58,120
Speaker 1: can get in. You got a guy who's methodically going

1203
01:01:58,160 --> 01:02:02,120
Speaker 1: through and removing the crowd barriers, put him over allege

1204
01:02:02,200 --> 01:02:05,480
Speaker 1: so that again people can easily come in and go through.

1205
01:02:06,120 --> 01:02:08,240
Speaker 1: And the one that's the craziest to me is the

1206
01:02:08,360 --> 01:02:12,640
Speaker 1: dude that's on top of the It's like a big tower.

1207
01:02:12,680 --> 01:02:14,480
Speaker 1: You guys have probably seen this, a big tower in

1208
01:02:14,480 --> 01:02:17,960
Speaker 1: front of the Capitol they use, Yeah, it's scaffolding that

1209
01:02:18,040 --> 01:02:20,720
Speaker 1: they use for the press to be able to record

1210
01:02:20,800 --> 01:02:23,880
Speaker 1: an inauguration day. This guy is up there on top

1211
01:02:24,000 --> 01:02:28,480
Speaker 1: and he's with a bullhorn imploring people move forward, move forward,

1212
01:02:28,600 --> 01:02:31,600
Speaker 1: just continuing to sort of issue these commands from on

1213
01:02:31,760 --> 01:02:36,360
Speaker 1: high to encourage people to move into the Capitol. And

1214
01:02:36,400 --> 01:02:39,920
Speaker 1: of course we know the destruction and chaos that ultimately ensued.

1215
01:02:41,120 --> 01:02:44,400
Speaker 1: How is that guy who there are very clear pictures

1216
01:02:44,400 --> 01:02:47,720
Speaker 1: of Yeah, literally, his whole face is very What are

1217
01:02:47,720 --> 01:02:50,040
Speaker 1: they doing? What are I do? Like? How is someone

1218
01:02:50,200 --> 01:02:54,480
Speaker 1: like that who was such a key instigator, How are

1219
01:02:54,520 --> 01:02:58,400
Speaker 1: they not indicted? How is the federal government? Why is

1220
01:02:58,400 --> 01:03:02,080
Speaker 1: the federal government not curious about this person? Because you know,

1221
01:03:01,800 --> 01:03:05,280
Speaker 1: if you think and judging by some of the tools

1222
01:03:05,320 --> 01:03:07,720
Speaker 1: and the tactical gear and the way that these men

1223
01:03:07,800 --> 01:03:11,360
Speaker 1: prepared themselves, if you think that this was planned in advance,

1224
01:03:12,080 --> 01:03:15,000
Speaker 1: then you would think that some of these individuals would

1225
01:03:15,040 --> 01:03:17,880
Speaker 1: be the ones that you want to talk to. So

1226
01:03:18,080 --> 01:03:21,000
Speaker 1: I don't think you have to, like, you know, I

1227
01:03:21,080 --> 01:03:24,480
Speaker 1: think that given our federal government's history, and given what

1228
01:03:24,520 --> 01:03:29,080
Speaker 1: we know about FBI infiltration of right wing groups at

1229
01:03:29,080 --> 01:03:30,919
Speaker 1: this point, given what we know at this point about

1230
01:03:30,920 --> 01:03:33,600
Speaker 1: the Gretchen Whitmer kidnapping, all of those things, it is

1231
01:03:33,640 --> 01:03:36,200
Speaker 1: not crazy at all to suggest that there were FED

1232
01:03:36,240 --> 01:03:38,840
Speaker 1: informants there, And in fact, we do know that there

1233
01:03:38,920 --> 01:03:43,800
Speaker 1: were at least one on the ground. But you don't

1234
01:03:43,840 --> 01:03:46,640
Speaker 1: even have to believe that to say that these are

1235
01:03:46,720 --> 01:03:49,480
Speaker 1: people who should be questioned by the federal government to

1236
01:03:49,640 --> 01:03:53,080
Speaker 1: actually get to the bottom of how these events unfolded,

1237
01:03:53,080 --> 01:03:56,840
Speaker 1: because they were there at key moments, playing key roles.

1238
01:03:57,520 --> 01:04:00,520
Speaker 1: Why what was their intention? Was it planned in advance?

1239
01:04:01,080 --> 01:04:05,320
Speaker 1: Those are questions that anyone, I don't care Trump supporter, liberal, leftist,

1240
01:04:05,400 --> 01:04:07,600
Speaker 1: whoever you are, that is the questions that everybody should

1241
01:04:07,600 --> 01:04:08,960
Speaker 1: want to know the answer to. And you know, to

1242
01:04:09,000 --> 01:04:10,760
Speaker 1: put this in a non partisan context and put on

1243
01:04:10,800 --> 01:04:13,560
Speaker 1: the other side. I'll admit I was skeptical, but look,

1244
01:04:13,640 --> 01:04:16,800
Speaker 1: it did turn out that umbrella man from the original BLM,

1245
01:04:16,800 --> 01:04:20,960
Speaker 1: George Floyd Riot, was a straight up white supremacist allegedly

1246
01:04:21,480 --> 01:04:24,960
Speaker 1: as revealed by the Minneapolis Police in terms of his

1247
01:04:25,040 --> 01:04:27,640
Speaker 1: connections and more we still haven't found out. So that's

1248
01:04:27,680 --> 01:04:30,920
Speaker 1: in terms of the BLM we know notoriously, there's a

1249
01:04:30,960 --> 01:04:32,840
Speaker 1: lot of I mean, what is it the joke that

1250
01:04:32,960 --> 01:04:35,120
Speaker 1: like half the people at these white supremacist meetings or

1251
01:04:35,120 --> 01:04:37,920
Speaker 1: white nationalist meetings or FEDS like like, I mean, it's

1252
01:04:37,960 --> 01:04:40,080
Speaker 1: a joke, but it's a joke for because which kind

1253
01:04:40,120 --> 01:04:43,640
Speaker 1: of true. The Proud Boys are right, their leader is

1254
01:04:43,640 --> 01:04:48,480
Speaker 1: a Federal informant. Yeah, they multiple known leaders in their

1255
01:04:48,560 --> 01:04:53,000
Speaker 1: organization who at least used to serve as FED informants,

1256
01:04:53,440 --> 01:04:57,320
Speaker 1: and they were some of the first to walk in.

1257
01:04:57,480 --> 01:04:59,360
Speaker 1: They led a march there, and there's some of the

1258
01:04:59,360 --> 01:05:02,120
Speaker 1: first to go into ultimately the capital. So I mean

1259
01:05:02,160 --> 01:05:05,840
Speaker 1: that's not speculation, that's that's actual fact. Anyway, there are

1260
01:05:05,840 --> 01:05:09,680
Speaker 1: a lot of I think important questions here and big

1261
01:05:09,720 --> 01:05:13,959
Speaker 1: holes that. Again, there just seems to be very little

1262
01:05:14,040 --> 01:05:17,000
Speaker 1: curiosity from the mainstream media, which in a lot of

1263
01:05:17,000 --> 01:05:19,280
Speaker 1: ways is very obsessed with January sixth, But the when

1264
01:05:19,320 --> 01:05:22,720
Speaker 1: it comes to these people who were so clearly, you know,

1265
01:05:23,080 --> 01:05:25,960
Speaker 1: really integral to what happened in those on those days,

1266
01:05:26,360 --> 01:05:29,000
Speaker 1: we have very little information and the federal government doesn't

1267
01:05:29,080 --> 01:05:33,600
Speaker 1: appear to really care. Yeah, no, I think you're right, Crystal.

1268
01:05:33,680 --> 01:05:35,240
Speaker 1: What are you taking a look at? Well? Guys, as

1269
01:05:35,280 --> 01:05:38,040
Speaker 1: we track the final collapse of Build Back Better, which

1270
01:05:38,040 --> 01:05:41,680
Speaker 1: started as a significant plan crafted by Bernie Sanders, slowly

1271
01:05:41,760 --> 01:05:44,640
Speaker 1: morphed into a disappointing fulfillment of Biden's promise that nothing

1272
01:05:44,680 --> 01:05:48,320
Speaker 1: would fundamentally change, and finally collapse in a heap of corruption,

1273
01:05:48,800 --> 01:05:52,560
Speaker 1: a specific betrayal comes more clearly into view. Biden was

1274
01:05:52,600 --> 01:05:55,320
Speaker 1: elected in no small part because millions of young people

1275
01:05:55,520 --> 01:05:58,640
Speaker 1: who had largely back burning standers in the primary, sucked

1276
01:05:58,640 --> 01:06:01,800
Speaker 1: it up and voted for Joe. In fact, turnout for

1277
01:06:01,880 --> 01:06:05,200
Speaker 1: Americans under the age of thirty skyrocketed in twenty twenty,

1278
01:06:05,200 --> 01:06:08,200
Speaker 1: with around fifty five percent of eligible voters showing up.

1279
01:06:08,480 --> 01:06:11,760
Speaker 1: In twenty sixteen, for comparison, that number was just forty

1280
01:06:11,800 --> 01:06:14,360
Speaker 1: four percent. Now, remember back in two thousand and eight

1281
01:06:14,360 --> 01:06:16,200
Speaker 1: when there are a million articles written about how young

1282
01:06:16,240 --> 01:06:18,640
Speaker 1: folks showed up and drove to the rock star Obama.

1283
01:06:19,160 --> 01:06:22,280
Speaker 1: So in that historic year for youth turnout, only about

1284
01:06:22,280 --> 01:06:25,000
Speaker 1: fifty three percent of those under the age of thirty

1285
01:06:25,080 --> 01:06:28,920
Speaker 1: actually showed up to vote. So Biden actually bested Obama

1286
01:06:29,200 --> 01:06:31,960
Speaker 1: on this metric, And of those young voters who did

1287
01:06:31,960 --> 01:06:34,520
Speaker 1: turn out, about sixty five percent gave their vote to

1288
01:06:34,600 --> 01:06:37,720
Speaker 1: Joe Biden. That was eleven percent higher than any other

1289
01:06:37,800 --> 01:06:41,560
Speaker 1: age group. So while post election analyzes they rightly fixated

1290
01:06:41,640 --> 01:06:44,720
Speaker 1: understandably on how the suburbs swung to Biden and the Dems,

1291
01:06:45,080 --> 01:06:48,520
Speaker 1: young people were just as decisive. And how is Biden

1292
01:06:48,560 --> 01:06:54,160
Speaker 1: faring now with this group? Absolutely terribly. In fact, Biden's

1293
01:06:54,160 --> 01:06:57,120
Speaker 1: approval rating with young voters has fallen off a cliff.

1294
01:06:57,280 --> 01:06:59,360
Speaker 1: Just take a look at this. At the beginning of

1295
01:06:59,360 --> 01:07:01,800
Speaker 1: Biden's minute stration, back when he was beating Trump and

1296
01:07:01,840 --> 01:07:05,760
Speaker 1: distributing vaccines and delivering checks. His highest approval ratings by

1297
01:07:05,840 --> 01:07:09,840
Speaker 1: age group came from voters under thirty. Now that situation

1298
01:07:09,960 --> 01:07:14,440
Speaker 1: has completely reversed, he now garners his lowest approval ratings

1299
01:07:14,480 --> 01:07:18,040
Speaker 1: by age from voters under thirty. Overall, their approval of

1300
01:07:18,040 --> 01:07:22,680
Speaker 1: Biden has fallen a staggering fifty percent. So, guys, it

1301
01:07:22,680 --> 01:07:25,400
Speaker 1: doesn't take a rocket scientist to figure out why Biden

1302
01:07:25,480 --> 01:07:28,880
Speaker 1: has broken every significant promise that he made to these

1303
01:07:28,920 --> 01:07:32,240
Speaker 1: generations on every issue that they care the most about.

1304
01:07:32,720 --> 01:07:35,200
Speaker 1: Let's start with college, because it's so specific and it's

1305
01:07:35,240 --> 01:07:38,800
Speaker 1: so clear. Here is how it started. I'm going to

1306
01:07:38,840 --> 01:07:41,960
Speaker 1: make sure that everybody in this generation gets ten thousand

1307
01:07:42,000 --> 01:07:45,200
Speaker 1: dollars knocked off of their student debt as we try

1308
01:07:45,200 --> 01:07:49,040
Speaker 1: to get out of this god awful pandemic. And here

1309
01:07:49,360 --> 01:07:53,080
Speaker 1: is how it's going. I think he said last week that,

1310
01:07:53,280 --> 01:07:55,760
Speaker 1: I you're working on a plan to help students pay.

1311
01:07:56,680 --> 01:08:00,480
Speaker 1: But what about President Biden's campaign to forgive or canceled

1312
01:08:01,000 --> 01:08:03,720
Speaker 1: a ten thousand dollars and student led debt. Pardon me?

1313
01:08:04,480 --> 01:08:06,720
Speaker 1: You know? What is the message to those people who

1314
01:08:06,760 --> 01:08:09,560
Speaker 1: feel that he's yet to follow through on that problem?

1315
01:08:09,840 --> 01:08:12,560
Speaker 1: Congress sends him a bill, He's happy to sign it.

1316
01:08:13,520 --> 01:08:16,759
Speaker 1: They haven't sent him a bill on that yet. Guys,

1317
01:08:16,840 --> 01:08:19,000
Speaker 1: Biden does not need a bill. This is an issue

1318
01:08:19,000 --> 01:08:21,160
Speaker 1: where he could act with the stroke of a pen,

1319
01:08:21,520 --> 01:08:25,080
Speaker 1: but he's decided not to. A direct breach of campaign promises.

1320
01:08:25,120 --> 01:08:27,519
Speaker 1: That has nothing to do with Congress, nothing to do

1321
01:08:27,560 --> 01:08:31,000
Speaker 1: with Joe Mansion or the Senate Parliamentarian. And that's forgetting

1322
01:08:31,000 --> 01:08:33,479
Speaker 1: about the fact that he promised two years of free college.

1323
01:08:33,520 --> 01:08:36,599
Speaker 1: He promised that was unceremoniously dropped from Build Back Better

1324
01:08:36,880 --> 01:08:40,000
Speaker 1: months ago. But wait, there's more. At a time when

1325
01:08:40,000 --> 01:08:44,320
Speaker 1: American pessimism about the economy is approaching historic levels, Biden

1326
01:08:44,360 --> 01:08:48,600
Speaker 1: has decided to restart student loan payments on college affordability,

1327
01:08:48,880 --> 01:08:52,240
Speaker 1: Disappointments and lies abound. Well, let's keep in mind only

1328
01:08:52,240 --> 01:08:54,759
Speaker 1: about forty percent of young Americans have a college degree,

1329
01:08:54,800 --> 01:08:56,880
Speaker 1: so we shouldn't collapse the interests of young people just

1330
01:08:56,960 --> 01:09:00,559
Speaker 1: down to student debt and college affordability. According to Economist,

1331
01:09:00,680 --> 01:09:04,240
Speaker 1: you got, the number one issue for voters under thirty

1332
01:09:04,439 --> 01:09:07,280
Speaker 1: is healthcare. In fact, healthcare is at ordinar the top

1333
01:09:07,280 --> 01:09:09,320
Speaker 1: of the list for every age group, but for young

1334
01:09:09,320 --> 01:09:11,439
Speaker 1: people it makes a lot of sense. They face a

1335
01:09:11,479 --> 01:09:14,720
Speaker 1: precarious gig work economy where they're unlikely to get health

1336
01:09:14,720 --> 01:09:17,400
Speaker 1: care from their employer and in fact suffer from the

1337
01:09:17,520 --> 01:09:21,040
Speaker 1: highest rates of uninsurance of the entire population. At the

1338
01:09:21,080 --> 01:09:23,880
Speaker 1: same time, their health overall and mental health in particular,

1339
01:09:24,000 --> 01:09:27,280
Speaker 1: is in really bad shape. Over half of young Americans

1340
01:09:27,280 --> 01:09:30,439
Speaker 1: are overweight or obese. One in four has had serious

1341
01:09:30,439 --> 01:09:34,559
Speaker 1: recurring suicidal thoughts. So lack of access and affordability combines

1342
01:09:34,600 --> 01:09:37,800
Speaker 1: with a severe health crisis to make healthcare a critical

1343
01:09:37,840 --> 01:09:40,080
Speaker 1: issue for this age group. That's a big part of

1344
01:09:40,120 --> 01:09:42,240
Speaker 1: why they like burning so much. Medicare for All was

1345
01:09:42,240 --> 01:09:45,360
Speaker 1: the centerpiece, of course, of his campaign. Biden always a

1346
01:09:45,439 --> 01:09:48,560
Speaker 1: post single payer, but he did make some promises. Guys,

1347
01:09:48,920 --> 01:09:53,640
Speaker 1: we need a public option now more than ever, especially

1348
01:09:53,680 --> 01:09:59,120
Speaker 1: when more than twenty million people are unemployed. That public

1349
01:09:59,160 --> 01:10:03,320
Speaker 1: option willow American regardless of their employment status, the choice

1350
01:10:03,320 --> 01:10:07,160
Speaker 1: to get a Medicare like plan. Now, there's no sign

1351
01:10:07,240 --> 01:10:10,479
Speaker 1: Biden was ever really serious about a public option. In fact,

1352
01:10:10,520 --> 01:10:12,720
Speaker 1: as soon as he won his primary it dropped from

1353
01:10:12,720 --> 01:10:16,000
Speaker 1: his campaign completely. It was never even included and build

1354
01:10:16,000 --> 01:10:18,720
Speaker 1: back better. Given the brutality of a pandemic which has

1355
01:10:18,760 --> 01:10:22,439
Speaker 1: killed eight hundred thousand Americans. Biden could also have used

1356
01:10:22,479 --> 01:10:26,320
Speaker 1: existing laws in novel ways to expand Medicare to all

1357
01:10:26,400 --> 01:10:28,479
Speaker 1: for the duration of the pandemic. It would have been

1358
01:10:28,560 --> 01:10:30,640
Speaker 1: challenged in court, but fine, be on the side of

1359
01:10:30,640 --> 01:10:32,840
Speaker 1: getting everyone care and let the other side make the

1360
01:10:32,880 --> 01:10:34,760
Speaker 1: case for keeping people from being able to see a

1361
01:10:34,760 --> 01:10:38,160
Speaker 1: doctor at a time of catastrophic health collapse. That's to

1362
01:10:38,200 --> 01:10:40,599
Speaker 1: say nothing of the failures on lowering the Medicare age

1363
01:10:40,600 --> 01:10:43,880
Speaker 1: and dealing with prescription drug prices, among other issues. Now,

1364
01:10:43,880 --> 01:10:47,280
Speaker 1: the second most important issue for young Americans is climate change.

1365
01:10:47,400 --> 01:10:50,920
Speaker 1: In fact, arguably the existential threat of climate change was

1366
01:10:50,960 --> 01:10:53,599
Speaker 1: as strong a driver for progressive young Americans to back

1367
01:10:53,640 --> 01:10:56,080
Speaker 1: Biden as the threat from Trump. Remember the ads that

1368
01:10:56,160 --> 01:10:58,880
Speaker 1: Nom Chomsky cut centering on the twin crises of Trump

1369
01:10:59,000 --> 01:11:01,840
Speaker 1: and the climate. On climate all the action was in

1370
01:11:01,880 --> 01:11:03,880
Speaker 1: build back better, which has now of course gone up

1371
01:11:03,880 --> 01:11:06,640
Speaker 1: in flames. This was always a dicey prospect, given the

1372
01:11:06,640 --> 01:11:10,040
Speaker 1: fact that Joe Manchin literally chairs the committee task with

1373
01:11:10,080 --> 01:11:13,920
Speaker 1: writing the big climate provisions. Now it is all dead,

1374
01:11:14,320 --> 01:11:17,280
Speaker 1: but there's more. Biden has gone above and beyond to

1375
01:11:17,360 --> 01:11:20,320
Speaker 1: open up new areas to drilling, approving leases that could

1376
01:11:20,439 --> 01:11:23,320
Speaker 1: lead to an additional six hundred million tons of greenhouse

1377
01:11:23,320 --> 01:11:26,599
Speaker 1: gas emissions. That is a grand betrayal of young Americans

1378
01:11:26,600 --> 01:11:29,000
Speaker 1: who will be the ones that live with the worsening storms,

1379
01:11:29,240 --> 01:11:32,240
Speaker 1: the flooding, the tornadoes, the wildfires, the water wars, the

1380
01:11:32,240 --> 01:11:36,200
Speaker 1: climate refugees, and masty stabilization which will be the inevitable

1381
01:11:36,200 --> 01:11:39,519
Speaker 1: result of our current trajectory. It is telling to me

1382
01:11:39,840 --> 01:11:42,639
Speaker 1: that actually the only generation which cares more about climate

1383
01:11:42,640 --> 01:11:45,439
Speaker 1: than our young people are elders. With their own health

1384
01:11:45,439 --> 01:11:48,439
Speaker 1: care and basic living secured through Social Security and Medicare,

1385
01:11:48,680 --> 01:11:50,559
Speaker 1: they're free to think about what kind of a world

1386
01:11:50,560 --> 01:11:54,080
Speaker 1: they'll pass on to their grandchildren. The incompetence, cowardice, and

1387
01:11:54,160 --> 01:11:57,680
Speaker 1: inaction of Biden has nearly sealed their fate. Finally, Like

1388
01:11:57,760 --> 01:12:01,000
Speaker 1: all Americans, young people are concerned which jobs and the economy.

1389
01:12:01,160 --> 01:12:03,920
Speaker 1: Promises on this front include the fifteen dollar minimum wage

1390
01:12:03,960 --> 01:12:06,120
Speaker 1: and the pro Act, both of which fell victim to

1391
01:12:06,120 --> 01:12:10,479
Speaker 1: the whims of an unelected bureaucrat with the job title parliamentarian. Here,

1392
01:12:10,640 --> 01:12:13,479
Speaker 1: the outlook is grim for young adults, even those who

1393
01:12:13,479 --> 01:12:15,479
Speaker 1: did what they were supposed to do and got that

1394
01:12:15,560 --> 01:12:18,160
Speaker 1: college degree with all the debt that comes along with it.

1395
01:12:18,520 --> 01:12:21,080
Speaker 1: They're not finding a real foothold in a labor market.

1396
01:12:21,560 --> 01:12:23,960
Speaker 1: Half of grads from last year have yet to find

1397
01:12:24,000 --> 01:12:27,840
Speaker 1: full time, permanent employment, and studies routinely fine that if

1398
01:12:27,880 --> 01:12:30,120
Speaker 1: you don't get your feet under you fast in the workplace,

1399
01:12:30,320 --> 01:12:33,439
Speaker 1: your entire life trajectory gets knocked off course. Dreams like

1400
01:12:33,439 --> 01:12:35,760
Speaker 1: a family or home ownership, or starting a business or

1401
01:12:35,760 --> 01:12:38,639
Speaker 1: being able to travel, those things get pushed off further

1402
01:12:38,880 --> 01:12:42,639
Speaker 1: and further into the future. For cararity and rootlessness. They

1403
01:12:42,640 --> 01:12:46,040
Speaker 1: become the norm, with depression, addiction, and suicidal thoughts the

1404
01:12:46,080 --> 01:12:50,000
Speaker 1: inevitable companions for far too many. What happens when two

1405
01:12:50,080 --> 01:12:53,599
Speaker 1: political parties collaborate to deny their young generations of future?

1406
01:12:54,040 --> 01:12:57,240
Speaker 1: When gen z looks around and finds their interests casually

1407
01:12:57,280 --> 01:13:00,800
Speaker 1: discarded by one side and actively derided and sneered at

1408
01:13:00,840 --> 01:13:03,200
Speaker 1: by the other. What is it due to a country

1409
01:13:03,280 --> 01:13:06,000
Speaker 1: when they're young people are shut out of power and opportunity,

1410
01:13:06,360 --> 01:13:09,920
Speaker 1: and when official channels for expressing that frustration and creating

1411
01:13:10,040 --> 01:13:13,719
Speaker 1: change are blocked by an army of corporate lobbyists. Biden's

1412
01:13:13,760 --> 01:13:18,080
Speaker 1: complete betrayal of his once enthusiastic young voters hastens the

1413
01:13:18,200 --> 01:13:21,320
Speaker 1: day when we will find out. I'm actually astonished there

1414
01:13:21,400 --> 01:13:25,240
Speaker 1: hasn't been more discussion of this, because at the beginning

1415
01:13:25,240 --> 01:13:29,280
Speaker 1: of his administration, this was his And if you want

1416
01:13:29,320 --> 01:13:32,240
Speaker 1: to hear my reaction to Crystal's monologue, become a premium

1417
01:13:32,240 --> 01:13:37,600
Speaker 1: subscriber today at Breakingpoints dot Com. All right, Sager, what

1418
01:13:37,600 --> 01:13:39,679
Speaker 1: are you looking at? Well, as you can all probably

1419
01:13:39,680 --> 01:13:41,639
Speaker 1: tell at this point in the show, I'm really mad

1420
01:13:41,720 --> 01:13:43,679
Speaker 1: at the situation that we have in the country right now.

1421
01:13:43,720 --> 01:13:45,639
Speaker 1: We've been in this for two years. I have friends

1422
01:13:45,640 --> 01:13:47,759
Speaker 1: waiting in line for two hours to get test results

1423
01:13:47,800 --> 01:13:50,640
Speaker 1: promised in the next several days. People are sick and

1424
01:13:50,680 --> 01:13:53,320
Speaker 1: their government has basically abandoned them. And for the people

1425
01:13:53,360 --> 01:13:56,000
Speaker 1: I feel for the most though, it's children. They've lost

1426
01:13:56,120 --> 01:13:58,880
Speaker 1: years of their lives to COVID the paranoia of our

1427
01:13:58,920 --> 01:14:02,519
Speaker 1: public health bureaucracy, and they are now learning with absolute certainty.

1428
01:14:02,600 --> 01:14:06,240
Speaker 1: We have been hoodwinked for months. Masks in schools have

1429
01:14:06,320 --> 01:14:09,160
Speaker 1: always been a contentious subject. The United States is one

1430
01:14:09,200 --> 01:14:11,400
Speaker 1: of the only developed countries in the world that is

1431
01:14:11,400 --> 01:14:14,280
Speaker 1: pushing it as official policy. It is not like our

1432
01:14:14,320 --> 01:14:16,280
Speaker 1: results have been all that much better than the rest

1433
01:14:16,280 --> 01:14:18,720
Speaker 1: of the world. Parents have been whispering and rising up

1434
01:14:18,760 --> 01:14:21,360
Speaker 1: against us in some districts, but in many places it's

1435
01:14:21,400 --> 01:14:23,559
Speaker 1: not up to them. It's up to the state who

1436
01:14:23,560 --> 01:14:25,919
Speaker 1: have looked to the Center for Disease Control for guidance.

1437
01:14:26,200 --> 01:14:28,360
Speaker 1: But of course we always have to ask the question, now,

1438
01:14:28,640 --> 01:14:31,800
Speaker 1: what if the CDC, the organization we rely most on

1439
01:14:31,840 --> 01:14:35,519
Speaker 1: in this situation, is completely wrong? And well, that's pretty

1440
01:14:35,600 --> 01:14:38,360
Speaker 1: much exactly the case when it comes to masks in school.

1441
01:14:39,120 --> 01:14:42,040
Speaker 1: Right now, the CDC recommends all children ages two and

1442
01:14:42,120 --> 01:14:44,640
Speaker 1: up wear a mask in school, based specifically upon a

1443
01:14:44,680 --> 01:14:47,799
Speaker 1: study published in September that looked at one thousand schools

1444
01:14:47,840 --> 01:14:50,280
Speaker 1: in Arizona, where they said schools that didn't have a

1445
01:14:50,320 --> 01:14:53,519
Speaker 1: mass mandate were three point five times more likely to

1446
01:14:53,600 --> 01:14:57,639
Speaker 1: experience COVID outbreaks than ones that did. That's stunning right well,

1447
01:14:57,640 --> 01:15:00,519
Speaker 1: as David's Wig points out at The Atlantic, this study,

1448
01:15:00,640 --> 01:15:02,880
Speaker 1: which the CDC director and public health people have been

1449
01:15:02,920 --> 01:15:07,719
Speaker 1: pushing relentlessly to justify the mass recommendation, it's a completely

1450
01:15:07,800 --> 01:15:10,639
Speaker 1: bunked study. First, so why points out that the study

1451
01:15:10,640 --> 01:15:13,240
Speaker 1: claim to have looked at school associated COVID outbreaks from

1452
01:15:13,320 --> 01:15:16,320
Speaker 1: July fifteen to August thirty, first, twenty twenty one. The

1453
01:15:16,439 --> 01:15:20,040
Speaker 1: problem is that quote Only a small proportion of schools

1454
01:15:20,040 --> 01:15:23,120
Speaker 1: in the study were open at any point in July.

1455
01:15:23,680 --> 01:15:27,200
Speaker 1: Some did not even begin class until August tenth, meaning

1456
01:15:27,240 --> 01:15:29,679
Speaker 1: that students in the latter group, who didn't have mass

1457
01:15:29,680 --> 01:15:33,240
Speaker 1: mandates had twice as much more time to develop a

1458
01:15:33,280 --> 01:15:37,000
Speaker 1: COVID outbreak might influence the numbers. Furthermore, in terms of

1459
01:15:37,040 --> 01:15:40,120
Speaker 1: definitions that they used for school related outbreaks, they defined

1460
01:15:40,160 --> 01:15:43,559
Speaker 1: it as quote two or more COVID cases among students

1461
01:15:43,720 --> 01:15:46,240
Speaker 1: or staff members at a school within a fourteen day

1462
01:15:46,280 --> 01:15:49,080
Speaker 1: period that could be linked as anyone with a brain

1463
01:15:49,160 --> 01:15:51,880
Speaker 1: can tell you two cases in a school doesn't tell

1464
01:15:51,920 --> 01:15:55,040
Speaker 1: you a damn thing about whether transmission actually happened within

1465
01:15:55,120 --> 01:15:58,639
Speaker 1: that school. Worse, guess what else? The study didn't control

1466
01:15:58,680 --> 01:16:03,559
Speaker 1: for vaccinations amongst the staff or students. David doug even deeper.

1467
01:16:03,720 --> 01:16:07,479
Speaker 1: He found that the study included virtual learning academies within it.

1468
01:16:07,720 --> 01:16:12,160
Speaker 1: Some were preschools, some were programs otherwise listed as schools.

1469
01:16:12,360 --> 01:16:14,840
Speaker 1: Did the study for control for that? When David asked,

1470
01:16:14,960 --> 01:16:18,320
Speaker 1: they refused to answer the question, especially on whether they

1471
01:16:18,360 --> 01:16:22,760
Speaker 1: had mistakenly included virtual school in their tally, and to

1472
01:16:22,800 --> 01:16:26,400
Speaker 1: this day they say that their methodology was quote entirely

1473
01:16:26,439 --> 01:16:30,200
Speaker 1: appropriate for what they were looking at. Perhaps I'm boring you,

1474
01:16:30,360 --> 01:16:33,400
Speaker 1: and but I want you to remember this. This study

1475
01:16:33,600 --> 01:16:36,200
Speaker 1: is the single most cited one by the director of

1476
01:16:36,200 --> 01:16:40,000
Speaker 1: the CDC for a policy which is affecting tens of

1477
01:16:40,240 --> 01:16:43,080
Speaker 1: millions of children here in the United States. It's a

1478
01:16:43,080 --> 01:16:45,759
Speaker 1: policy which has been shown clearly to have negative effects,

1479
01:16:45,880 --> 01:16:49,800
Speaker 1: reducing socialization and young children increasing asthma attacks when it's

1480
01:16:49,840 --> 01:16:53,320
Speaker 1: worn during sporting events, and it is despised universally nearly

1481
01:16:53,360 --> 01:16:55,639
Speaker 1: by all children forced to wear them and the parents

1482
01:16:55,640 --> 01:16:57,840
Speaker 1: who have to watch them suffer. It is clear as

1483
01:16:57,920 --> 01:17:01,040
Speaker 1: day the CEC relied on this study and elevated it

1484
01:17:01,160 --> 01:17:04,640
Speaker 1: because of their commitment to pandemic theater and not to

1485
01:17:04,720 --> 01:17:07,679
Speaker 1: actual science. And it of course raises the ultimate question,

1486
01:17:08,040 --> 01:17:10,400
Speaker 1: what else are these people lying about? If we cannot

1487
01:17:10,400 --> 01:17:14,439
Speaker 1: rely on the CDC to accurately assess risks to kids

1488
01:17:14,479 --> 01:17:17,080
Speaker 1: in schools and whether they should wear masks, then what

1489
01:17:17,120 --> 01:17:20,040
Speaker 1: can we trust them for anything. This is why my

1490
01:17:20,160 --> 01:17:23,120
Speaker 1: deepest sympathies have and probably always will lie with the

1491
01:17:23,160 --> 01:17:26,120
Speaker 1: people who have total distrust in the system. Maps in

1492
01:17:26,160 --> 01:17:28,879
Speaker 1: schools are only the most glaring example of an anti

1493
01:17:28,920 --> 01:17:32,320
Speaker 1: science COVID restriction regime that is destroying the lives of

1494
01:17:32,360 --> 01:17:35,320
Speaker 1: young people across this country. Prince George's county right here

1495
01:17:35,320 --> 01:17:38,080
Speaker 1: in the DMV is closing and going online school in

1496
01:17:38,160 --> 01:17:41,479
Speaker 1: January in response to the omicron wave, despite glaring evidence

1497
01:17:41,560 --> 01:17:44,320
Speaker 1: that online school doesn't work, that kids are at risk

1498
01:17:44,840 --> 01:17:47,639
Speaker 1: not at risk whatsoever from COVID, and that even when

1499
01:17:47,640 --> 01:17:50,559
Speaker 1: they're in schools they don't need to wear masks doesn't matter.

1500
01:17:50,760 --> 01:17:53,360
Speaker 1: Tens of thousands of kids' lives ruined. At the higher

1501
01:17:53,439 --> 01:17:57,400
Speaker 1: education level, same situation is clear. Stanford University go an

1502
01:17:57,439 --> 01:18:00,360
Speaker 1: online school in January for the same reason, despite a

1503
01:18:00,400 --> 01:18:04,280
Speaker 1: literal vaccination requirement on campus. Universities like Dartmouth, where even

1504
01:18:04,320 --> 01:18:08,559
Speaker 1: a freaking booster is required, are forbidding all indoor social

1505
01:18:08,600 --> 01:18:11,679
Speaker 1: events and are stopping people from eating at their indoor

1506
01:18:11,720 --> 01:18:15,599
Speaker 1: dining hall. These policies are sweeping this nation and people

1507
01:18:15,680 --> 01:18:18,599
Speaker 1: are realizing how much their prevention strategy over the last

1508
01:18:18,600 --> 01:18:21,960
Speaker 1: two years has not worked. The impulse for more crackdowns

1509
01:18:22,080 --> 01:18:25,160
Speaker 1: will continue. Those of us who are adults, we can

1510
01:18:25,240 --> 01:18:29,639
Speaker 1: manage somewhat. We're miserable, but we can survive. What else, though,

1511
01:18:29,760 --> 01:18:32,080
Speaker 1: is the point of a civilization than to protect its

1512
01:18:32,120 --> 01:18:35,280
Speaker 1: young and ensure that they have a better life. On that.

1513
01:18:35,640 --> 01:18:39,680
Speaker 1: We are failing dramatically. We are making public policy not

1514
01:18:39,760 --> 01:18:42,400
Speaker 1: to protect them from harms, and worse, we are actively

1515
01:18:42,520 --> 01:18:45,519
Speaker 1: harming them. We have robbed students across the country of

1516
01:18:45,560 --> 01:18:47,840
Speaker 1: some of the best and most important years of their

1517
01:18:48,000 --> 01:18:50,719
Speaker 1: entire lives, and we've done it all by ignoring science.

1518
01:18:51,240 --> 01:18:53,000
Speaker 1: I don't know what the way out from here is.

1519
01:18:53,240 --> 01:18:54,840
Speaker 1: I know that it starts with us. We have to

1520
01:18:54,960 --> 01:18:57,799
Speaker 1: educate ourselves. We have to do our own research because

1521
01:18:57,840 --> 01:19:00,240
Speaker 1: the people who were charged with looking out for us

1522
01:19:00,520 --> 01:19:03,560
Speaker 1: betrayed the public trust and they have put their ideology

1523
01:19:03,720 --> 01:19:06,160
Speaker 1: over everything else. We got to take power back into

1524
01:19:06,200 --> 01:19:08,240
Speaker 1: our own hands, and you've got to fight back. It's

1525
01:19:08,240 --> 01:19:10,439
Speaker 1: for the good of kids who are coming up behind us,

1526
01:19:10,560 --> 01:19:12,880
Speaker 1: because we really do owe it to them. That's the thing, Crystal.

1527
01:19:12,960 --> 01:19:14,439
Speaker 1: I mean, look, I don't even have kids. You do,

1528
01:19:14,640 --> 01:19:16,679
Speaker 1: But like I read this, and you tell me about

1529
01:19:16,800 --> 01:19:21,120
Speaker 1: your kids experiences, and if you want to hear my

1530
01:19:21,280 --> 01:19:24,720
Speaker 1: reaction to Sagres's monologue, become a premium subscriber today at

1531
01:19:24,800 --> 01:19:30,799
Speaker 1: Breakingpoints dot com. All right, we've got hosts of Plain English,

1532
01:19:30,840 --> 01:19:33,400
Speaker 1: the one and only Derek Thompson, welcome back. Great to

1533
01:19:33,400 --> 01:19:35,160
Speaker 1: be here. Thank you. Yeah, good to see you, Derek.

1534
01:19:35,479 --> 01:19:37,200
Speaker 1: So we were just chatting about their Nose, which is

1535
01:19:37,200 --> 01:19:39,760
Speaker 1: a whole other interesting discussion, which is the subject of

1536
01:19:40,000 --> 01:19:42,439
Speaker 1: your latest podcast because that Elizabeth Holmes trial is just

1537
01:19:42,479 --> 01:19:44,320
Speaker 1: wrapping up. But I also wanted to talk to you

1538
01:19:44,560 --> 01:19:47,559
Speaker 1: about Elon Musk, who's been named Time Person of the Year.

1539
01:19:47,640 --> 01:19:49,599
Speaker 1: Let's go ahead and throw that up on the screen.

1540
01:19:49,920 --> 01:19:54,679
Speaker 1: I think it was a little bit of surprise for folks.

1541
01:19:54,720 --> 01:19:58,840
Speaker 1: It's certainly generated a lot of commentary. So Derek, if

1542
01:19:58,880 --> 01:20:03,280
Speaker 1: you would make your case for and against Elon Musk

1543
01:20:03,479 --> 01:20:08,120
Speaker 1: as the most influential person of the year. Great, Well,

1544
01:20:08,160 --> 01:20:12,160
Speaker 1: thank you first for offering that I make the kings

1545
01:20:12,200 --> 01:20:14,480
Speaker 1: four and against, because I feel like with Elon specifically,

1546
01:20:14,520 --> 01:20:16,760
Speaker 1: sometimes if you only make the case for half the

1547
01:20:16,800 --> 01:20:18,680
Speaker 1: internet screams at you, and if you only make the

1548
01:20:18,760 --> 01:20:21,760
Speaker 1: case against, the other half screams at you. So one

1549
01:20:21,800 --> 01:20:24,639
Speaker 1: against is lovely. I can, maybe you know, inculcate myself

1550
01:20:24,680 --> 01:20:27,360
Speaker 1: and criticism on both sides. So why is Elon Musk

1551
01:20:27,400 --> 01:20:29,479
Speaker 1: the person of the Year. Well, here's the really straightforward case.

1552
01:20:29,520 --> 01:20:32,759
Speaker 1: This is about influence, not goodness, right, and let's count

1553
01:20:32,880 --> 01:20:35,360
Speaker 1: the influence. He is the richest person in the world.

1554
01:20:35,560 --> 01:20:37,800
Speaker 1: That's a measure of influence, at least in terms of

1555
01:20:38,000 --> 01:20:40,639
Speaker 1: monetary value. He's the CEO of the most valuable car

1556
01:20:40,680 --> 01:20:43,240
Speaker 1: company in the world. He's the CEO also of the

1557
01:20:43,240 --> 01:20:46,720
Speaker 1: world's most advanced rocket company company he started twenty years

1558
01:20:46,760 --> 01:20:49,840
Speaker 1: ago that has arguably already lapped the US government and

1559
01:20:49,960 --> 01:20:52,800
Speaker 1: all world governments in terms of its capacity to manufacture

1560
01:20:52,800 --> 01:20:57,639
Speaker 1: really advanced rocketry. He also is a presence in our

1561
01:20:57,720 --> 01:21:01,120
Speaker 1: cultural landscape. I mean, he is an online shit poster.

1562
01:21:01,320 --> 01:21:06,559
Speaker 1: He tweets, you know, crude comebacks at Ron Wyden and

1563
01:21:07,120 --> 01:21:10,799
Speaker 1: Elizabeth Warren and Bernie sanderws. So he's in those cultural

1564
01:21:10,800 --> 01:21:13,240
Speaker 1: waters as well. So whether you want to evaluate him

1565
01:21:13,240 --> 01:21:16,080
Speaker 1: from an economic standpoint the other electric car industry, he's

1566
01:21:16,080 --> 01:21:18,120
Speaker 1: fairly influential. If you want to think of him as

1567
01:21:18,160 --> 01:21:21,160
Speaker 1: just like a mean edge lord, he's also a presence

1568
01:21:21,160 --> 01:21:23,600
Speaker 1: in our culture. So to that extent, I think you

1569
01:21:23,720 --> 01:21:26,439
Speaker 1: have to take seriously his influence and we can debate

1570
01:21:26,479 --> 01:21:27,960
Speaker 1: in the next few you know, back and forth, you

1571
01:21:28,000 --> 01:21:30,240
Speaker 1: know what exactly that level of influences I would say

1572
01:21:30,320 --> 01:21:32,320
Speaker 1: t other large. On the other hand, I think he

1573
01:21:32,320 --> 01:21:36,280
Speaker 1: could say, look this is a guy who is just

1574
01:21:36,360 --> 01:21:40,320
Speaker 1: basically a dick. He has a terrible letter being a boss.

1575
01:21:40,560 --> 01:21:42,960
Speaker 1: There's an exposay it seems like every quarter about the

1576
01:21:43,360 --> 01:21:47,400
Speaker 1: working conditions of his factories. He's not standing up against

1577
01:21:47,439 --> 01:21:49,920
Speaker 1: China nearly to the extent that I would want the

1578
01:21:49,920 --> 01:21:53,040
Speaker 1: world's most influential person to do. I mean, he basically

1579
01:21:53,200 --> 01:21:55,360
Speaker 1: is is in bed with the Chinese and the large

1580
01:21:55,400 --> 01:21:58,000
Speaker 1: to a large extent, because he's building and selling a

1581
01:21:58,040 --> 01:22:00,280
Speaker 1: lot of cars there. He understands the China one point

1582
01:22:00,360 --> 01:22:02,840
Speaker 1: five billion people to huge market for the future of

1583
01:22:02,920 --> 01:22:05,479
Speaker 1: electric vehicles, and so he doesn't criticize the Chinese government

1584
01:22:05,520 --> 01:22:07,800
Speaker 1: for all the terrible things that's doing. And so you

1585
01:22:07,800 --> 01:22:12,080
Speaker 1: could say he's not wielding his influence in a beneficial

1586
01:22:12,120 --> 01:22:14,559
Speaker 1: way for the benefit of labors and for the benefit

1587
01:22:14,640 --> 01:22:17,000
Speaker 1: of the leaders in China. But at the same time,

1588
01:22:17,080 --> 01:22:19,200
Speaker 1: I think if you just look at the impact he's

1589
01:22:19,240 --> 01:22:22,200
Speaker 1: having electric vehicle market, which is probably accelerated by ten

1590
01:22:22,280 --> 01:22:25,160
Speaker 1: years by sheer dint of sort of his power in

1591
01:22:25,160 --> 01:22:29,040
Speaker 1: the marketplace, clearly there is an enormous meda influence here. Derek.

1592
01:22:29,080 --> 01:22:31,719
Speaker 1: Something I've always appreciated about you is that you're always

1593
01:22:31,720 --> 01:22:33,680
Speaker 1: trying to go into the nuance. Hence you have the

1594
01:22:33,680 --> 01:22:36,920
Speaker 1: Plain English podcast, which we highly recommend everybody go and

1595
01:22:37,000 --> 01:22:40,680
Speaker 1: subscribe to. And what you know, how is it that

1596
01:22:40,720 --> 01:22:42,840
Speaker 1: we have arrived at a place where we do have

1597
01:22:42,880 --> 01:22:47,000
Speaker 1: somebody who is obviously such a leap forward in technology,

1598
01:22:47,040 --> 01:22:50,120
Speaker 1: and that technology doesn't seem to be appreciated the underlying

1599
01:22:50,160 --> 01:22:52,400
Speaker 1: ability in order to get us out of where we are.

1600
01:22:52,400 --> 01:22:53,800
Speaker 1: I see that on one side, and then on the

1601
01:22:53,840 --> 01:22:56,519
Speaker 1: other side, I see it as a complete fetishization as

1602
01:22:56,560 --> 01:22:59,080
Speaker 1: the only way to get us out of where we are.

1603
01:22:59,120 --> 01:23:01,720
Speaker 1: Can you balance like both the tech optimistic side of

1604
01:23:01,800 --> 01:23:03,880
Speaker 1: Elon and also you know a lot of the way

1605
01:23:03,880 --> 01:23:05,479
Speaker 1: that the government has to step up too that is

1606
01:23:05,520 --> 01:23:08,599
Speaker 1: completely disregarded by some of these folks. I'm always happy

1607
01:23:08,600 --> 01:23:10,120
Speaker 1: to do on the one hand. On the other hand,

1608
01:23:10,640 --> 01:23:13,200
Speaker 1: I worry that if eventually will make me seem like that,

1609
01:23:13,280 --> 01:23:15,840
Speaker 1: like a squishy centrist, or maybe like seeing like the

1610
01:23:15,880 --> 01:23:19,120
Speaker 1: squshy centrist that I am. But look, here's what I

1611
01:23:19,120 --> 01:23:21,559
Speaker 1: think about about Elon musk In in terms of influence

1612
01:23:21,560 --> 01:23:23,479
Speaker 1: in the climate. There's a way in which and just

1613
01:23:23,600 --> 01:23:26,200
Speaker 1: play with me here a little bit. We talk about

1614
01:23:26,240 --> 01:23:29,559
Speaker 1: the dirt bag left as being a group of people

1615
01:23:30,000 --> 01:23:33,920
Speaker 1: that are crude and rude and impolite, but also we're

1616
01:23:33,920 --> 01:23:37,880
Speaker 1: fundamentally fighting for things that from a utilitarian standpoint, are

1617
01:23:37,960 --> 01:23:41,320
Speaker 1: good for the world. Right, there's a way in which

1618
01:23:41,360 --> 01:23:44,240
Speaker 1: you could make almost the case that Elon Musk is

1619
01:23:44,280 --> 01:23:47,800
Speaker 1: a closet member of the dirt bag left, this absolute

1620
01:23:48,120 --> 01:23:51,240
Speaker 1: dick online. There's no debate about this. He's a dick online.

1621
01:23:51,360 --> 01:23:55,040
Speaker 1: But fundamentally, what is he doing to global emissions? Well,

1622
01:23:55,720 --> 01:23:59,040
Speaker 1: driving cars and trucks accounts for about thirty percent of

1623
01:23:59,040 --> 01:24:02,519
Speaker 1: American emissions. You would think if one individual could have

1624
01:24:02,560 --> 01:24:07,000
Speaker 1: a maximum value on declining US emissions, what would they do?

1625
01:24:07,280 --> 01:24:13,040
Speaker 1: They would accelerate electric vehicle adoption by five, ten, fifteen years.

1626
01:24:13,479 --> 01:24:17,240
Speaker 1: That is, in many ways what Eon has done. When

1627
01:24:17,280 --> 01:24:22,240
Speaker 1: Elon built or released the model s the flagship a

1628
01:24:22,320 --> 01:24:25,360
Speaker 1: Tesla vehicle in twenty twelve, twenty thirteen, I think the

1629
01:24:25,479 --> 01:24:30,120
Speaker 1: US sold like seventeen thousand electric cars. That's it. Today

1630
01:24:30,720 --> 01:24:33,560
Speaker 1: Tesla is the most valuable car company in the world,

1631
01:24:33,760 --> 01:24:37,400
Speaker 1: not just because they are selling so many electric cars.

1632
01:24:37,439 --> 01:24:39,559
Speaker 1: They sell I think sixty six to seventy percent of

1633
01:24:39,560 --> 01:24:41,519
Speaker 1: the electric cars in the US market. The top two

1634
01:24:41,720 --> 01:24:44,600
Speaker 1: most popular electric vehicles in the US are both manufactured

1635
01:24:44,600 --> 01:24:46,439
Speaker 1: by Tesla. But it's like, this is what I made

1636
01:24:46,479 --> 01:24:48,800
Speaker 1: the point about in the Planning's podcast. If you want

1637
01:24:48,840 --> 01:24:51,559
Speaker 1: to see his influence, don't look at the cannonball he's

1638
01:24:51,640 --> 01:24:55,400
Speaker 1: dropped in the water. Look at the ripples. Ford can't

1639
01:24:55,400 --> 01:24:57,760
Speaker 1: build and sell the electric F one fifty fast enough.

1640
01:24:58,120 --> 01:25:00,000
Speaker 1: Lexis says they're going to be one hundred percent electric

1641
01:25:00,120 --> 01:25:03,280
Speaker 1: by twenty thirty. Toyota has recently announced they are all

1642
01:25:03,320 --> 01:25:07,080
Speaker 1: in on electric vehicles. Everybody is getting in on this act.

1643
01:25:07,200 --> 01:25:10,360
Speaker 1: Everybody is trying to build electric vehicles as fast as

1644
01:25:10,400 --> 01:25:13,519
Speaker 1: possible because they see the signal from Tesla that this

1645
01:25:13,680 --> 01:25:16,320
Speaker 1: is the way to grow your value in the marketplace.

1646
01:25:16,600 --> 01:25:18,800
Speaker 1: It's a little bit like a little bit of a

1647
01:25:19,120 --> 01:25:23,280
Speaker 1: corporate analogy. So when Netflix took over the world of entertainment,

1648
01:25:23,880 --> 01:25:27,120
Speaker 1: all the other entertainment companies like Disney that, Okay, if

1649
01:25:27,160 --> 01:25:29,000
Speaker 1: we really want to play in this field, we have

1650
01:25:29,120 --> 01:25:31,639
Speaker 1: to move to streaming. We have to be more like Netflix.

1651
01:25:31,920 --> 01:25:35,439
Speaker 1: And so Disney could essentially say to its investors, don't

1652
01:25:35,640 --> 01:25:39,040
Speaker 1: grade us on our profit in the next few years,

1653
01:25:39,360 --> 01:25:42,400
Speaker 1: grade us by how quickly we build a streaming business.

1654
01:25:42,439 --> 01:25:45,040
Speaker 1: And that's exactly what they've done. In a way, that's

1655
01:25:45,040 --> 01:25:48,519
Speaker 1: what Ford and GM and Toyota are all doing. They're saying,

1656
01:25:48,840 --> 01:25:52,120
Speaker 1: all of our investors, please grade us, invest in us

1657
01:25:52,160 --> 01:25:54,840
Speaker 1: by how fast we grow the electric vehicle market. I

1658
01:25:54,880 --> 01:25:58,599
Speaker 1: think that Elon has been enormously influential in doing this

1659
01:25:59,000 --> 01:26:02,439
Speaker 1: very last point in electric vehicles. Ten years ago, you

1660
01:26:02,479 --> 01:26:05,639
Speaker 1: could have actually made the point that electric vehicles are

1661
01:26:05,960 --> 01:26:11,240
Speaker 1: a product for hippie dippy Birkenstock wearing Ben and Berry's

1662
01:26:11,280 --> 01:26:15,920
Speaker 1: eating dudes out in Berkeley, who happened to have made

1663
01:26:15,960 --> 01:26:20,360
Speaker 1: their first million dollars in the software industry. Because Elon

1664
01:26:20,479 --> 01:26:23,200
Speaker 1: is seen as a little bit anti left, because he's

1665
01:26:23,200 --> 01:26:25,680
Speaker 1: seen as a little bit of a dirt bag, I

1666
01:26:25,720 --> 01:26:30,599
Speaker 1: think he's de risked electric vehicles for the right. That's

1667
01:26:30,640 --> 01:26:32,840
Speaker 1: why Ford has been so successful in selling the F

1668
01:26:32,840 --> 01:26:35,000
Speaker 1: one fifty. It's while a lot of other startups are

1669
01:26:35,040 --> 01:26:38,799
Speaker 1: getting into selling electric pickup trucks. This could be huge

1670
01:26:39,200 --> 01:26:41,640
Speaker 1: for the environment, huge for the environment. And I do

1671
01:26:41,720 --> 01:26:45,439
Speaker 1: think Elon has been enormously influential book economically, so a

1672
01:26:45,479 --> 01:26:48,760
Speaker 1: few things. He's definitely dirt bag. I definitely dispute the

1673
01:26:48,800 --> 01:26:51,040
Speaker 1: idea that he'd read dirtbag left, though, just given his

1674
01:26:51,200 --> 01:26:55,000
Speaker 1: record of union busting as one thing. The other thing, though,

1675
01:26:55,200 --> 01:26:57,240
Speaker 1: is there's kind of a contradition here where on the

1676
01:26:57,320 --> 01:27:02,160
Speaker 1: one hand, obviously moving to electric vehicles extremely important and

1677
01:27:02,240 --> 01:27:06,200
Speaker 1: extremely significant, the same time, he's one of a number

1678
01:27:06,200 --> 01:27:08,680
Speaker 1: of billionaires that seems to be sort of giving up

1679
01:27:08,720 --> 01:27:11,839
Speaker 1: on planet Earth and being like, eah, let's try space instead.

1680
01:27:12,360 --> 01:27:15,640
Speaker 1: So how do those two things fit together? And then

1681
01:27:15,640 --> 01:27:17,920
Speaker 1: the other thing, just my own personal opinion is I

1682
01:27:18,000 --> 01:27:19,600
Speaker 1: think you could make Time Person of the Year the

1683
01:27:19,720 --> 01:27:22,160
Speaker 1: richest person on the planet every year because of the

1684
01:27:22,240 --> 01:27:25,479
Speaker 1: way sort of our global capitalist system works, they are

1685
01:27:25,680 --> 01:27:29,439
Speaker 1: likely to be the most influential person every year. So

1686
01:27:29,720 --> 01:27:32,320
Speaker 1: just on that metric alone, I think it makes sense.

1687
01:27:32,400 --> 01:27:34,880
Speaker 1: Like you said, this is not like the goodest or

1688
01:27:35,000 --> 01:27:38,080
Speaker 1: the nicest person on the planet the most influential, And

1689
01:27:38,360 --> 01:27:39,880
Speaker 1: I kind of think that the richest person in the

1690
01:27:39,880 --> 01:27:42,880
Speaker 1: world probably is the most influential person every year. Go ahead, Derek,

1691
01:27:43,360 --> 01:27:45,360
Speaker 1: this it's a great point. And first off, I really

1692
01:27:45,400 --> 01:27:47,280
Speaker 1: appreciate the point you made about the Dirik back lift.

1693
01:27:48,439 --> 01:27:52,280
Speaker 1: I'm being cheeky about the idea that historically been a

1694
01:27:52,720 --> 01:27:57,840
Speaker 1: leftist policy priority to reduce American carbon emissions and a

1695
01:27:58,080 --> 01:28:01,040
Speaker 1: clear effect of the succes desk Elon has had with

1696
01:28:01,120 --> 01:28:05,400
Speaker 1: Tesla has been accelerating the development of electric cars around

1697
01:28:05,400 --> 01:28:07,800
Speaker 1: the world. Right, So here's what I would say to

1698
01:28:08,000 --> 01:28:11,840
Speaker 1: the sort of Mars versus Earth debates that Elon I

1699
01:28:11,880 --> 01:28:17,599
Speaker 1: think very much would have encapsulated. I don't particularly value

1700
01:28:17,640 --> 01:28:20,800
Speaker 1: space that highlight. I think space is kind of cool,

1701
01:28:20,880 --> 01:28:22,640
Speaker 1: and we're gonna put a pin in that. I think

1702
01:28:22,720 --> 01:28:24,400
Speaker 1: space is kind of cool, But I do not think

1703
01:28:24,800 --> 01:28:28,280
Speaker 1: that colonizing Mars is one of the twenty most important

1704
01:28:28,320 --> 01:28:31,120
Speaker 1: things that are sort of our tech luminaries could do

1705
01:28:31,240 --> 01:28:34,760
Speaker 1: right now. But I do think that it's you have

1706
01:28:35,000 --> 01:28:38,320
Speaker 1: to sort of point out that Elon is not just

1707
01:28:38,439 --> 01:28:41,880
Speaker 1: doing one thing. Elon is just a lot, right. He's

1708
01:28:41,920 --> 01:28:45,040
Speaker 1: a dirt bag who's also accelerating the development of electric

1709
01:28:45,120 --> 01:28:48,920
Speaker 1: vehicles on Earth, who's also trying to populate space. And

1710
01:28:49,240 --> 01:28:52,479
Speaker 1: the second thing is really important for reducing emissions here,

1711
01:28:52,720 --> 01:28:55,680
Speaker 1: and the third thing is just something else. So when

1712
01:28:55,720 --> 01:28:57,640
Speaker 1: it comes to space and Kevin Rus and I the

1713
01:28:57,680 --> 01:28:59,400
Speaker 1: Tech columns of the New York Times talked a lot

1714
01:28:59,400 --> 01:29:02,560
Speaker 1: about this podcast Plain English, Kevin is very down on

1715
01:29:02,640 --> 01:29:04,880
Speaker 1: space Crystal. It sounds like you might be very down

1716
01:29:04,920 --> 01:29:07,040
Speaker 1: on space. Here's the way that I think about space.

1717
01:29:07,600 --> 01:29:10,720
Speaker 1: I don't think about space as a void that we

1718
01:29:10,800 --> 01:29:13,880
Speaker 1: should be really excited about sending people into. I think

1719
01:29:13,920 --> 01:29:15,560
Speaker 1: of it as a place that we could take some

1720
01:29:15,720 --> 01:29:18,400
Speaker 1: things from. So what does that mean. Well, there's an

1721
01:29:18,439 --> 01:29:22,880
Speaker 1: emerging idea called space manufacturing that suggests that there's a

1722
01:29:23,000 --> 01:29:28,680
Speaker 1: lot of dirty industrial manufacturing that we could outsource to

1723
01:29:28,960 --> 01:29:32,960
Speaker 1: shallow space and then use cheap rockets like the sort

1724
01:29:33,000 --> 01:29:35,800
Speaker 1: that are being built by a SpaceX to take those

1725
01:29:35,880 --> 01:29:40,880
Speaker 1: things back from So let's take two examples, fiber optic

1726
01:29:41,000 --> 01:29:46,960
Speaker 1: cables and human tissue. These sound like really really random examples,

1727
01:29:47,160 --> 01:29:49,920
Speaker 1: but these are two things that are really difficult to

1728
01:29:50,080 --> 01:29:53,640
Speaker 1: make in high gravity environments, and ideally you want to

1729
01:29:53,680 --> 01:29:57,519
Speaker 1: build these things in micro gravity environments. Well, where is

1730
01:29:57,560 --> 01:30:01,880
Speaker 1: their microgravity? There's microgravity in low orbit space. So it's

1731
01:30:02,040 --> 01:30:06,160
Speaker 1: possible that building cheap rocketry could give us access to

1732
01:30:06,439 --> 01:30:10,479
Speaker 1: a layer of space wherein we could build a lot

1733
01:30:10,560 --> 01:30:13,120
Speaker 1: of really useful things and then send those things back

1734
01:30:13,160 --> 01:30:17,320
Speaker 1: to Earth while keeping the emissions from those from that

1735
01:30:17,439 --> 01:30:21,080
Speaker 1: manufacturing process in space. Again, so way do you think

1736
01:30:21,120 --> 01:30:26,040
Speaker 1: of the space race as being good for Planet Earth

1737
01:30:26,400 --> 01:30:31,639
Speaker 1: rather than extractionary and moving ideas to space held, which

1738
01:30:31,680 --> 01:30:35,040
Speaker 1: is an interesting idea. Here's what I hear though, I

1739
01:30:35,479 --> 01:30:38,240
Speaker 1: when that plan is laid out, and Jeff Bezos, after

1740
01:30:38,320 --> 01:30:42,920
Speaker 1: his little whatever joy ride and his dicmobile, basically said

1741
01:30:42,920 --> 01:30:45,400
Speaker 1: this explicitly of like, but we're gonna send the working

1742
01:30:45,439 --> 01:30:48,040
Speaker 1: class there, and I'll be I want to come back occasionally.

1743
01:30:48,600 --> 01:30:51,240
Speaker 1: But you know, it's to me, it's far from a

1744
01:30:51,360 --> 01:30:54,920
Speaker 1: utopian village vision of like, let's just export the working

1745
01:30:54,960 --> 01:30:56,880
Speaker 1: class and all the dirty work they have to do

1746
01:30:57,000 --> 01:30:59,080
Speaker 1: to another planning. I don't know. I'm pretty sold on

1747
01:30:59,439 --> 01:31:04,639
Speaker 1: creating hum and tissue out in space, Derek. But look, man,

1748
01:31:04,680 --> 01:31:06,880
Speaker 1: we got to go. But we really appreciate you joining us.

1749
01:31:06,960 --> 01:31:09,439
Speaker 1: Thank you man, seriously for everybody who's listening. As you

1750
01:31:09,439 --> 01:31:11,799
Speaker 1: can see, Derek is just a great parser of everything.

1751
01:31:12,000 --> 01:31:14,320
Speaker 1: Has the new Plain English podcast with the Ringer Network,

1752
01:31:14,400 --> 01:31:16,960
Speaker 1: another great network which I'm a huge fan of. So

1753
01:31:17,240 --> 01:31:20,080
Speaker 1: congratulations to you, Derek. You're welcome back on the show anytime.

1754
01:31:20,160 --> 01:31:22,679
Speaker 1: We really appreciate you joining us. Man. Yeah, Derek, congrats

1755
01:31:22,720 --> 01:31:25,840
Speaker 1: on the podcast. It's fantastic, guys' you'll definitely enjoy it

1756
01:31:25,920 --> 01:31:27,519
Speaker 1: if you take a listen. I learned a lot about

1757
01:31:27,560 --> 01:31:29,760
Speaker 1: Elon Musk and Elizabeth Holmes and all the things that

1758
01:31:29,840 --> 01:31:34,519
Speaker 1: are going on. Thanks you guys anytime. Man, Thank you

1759
01:31:34,560 --> 01:31:36,280
Speaker 1: guys so much for watching. We really appreciate it. As

1760
01:31:36,280 --> 01:31:38,280
Speaker 1: you can tell, we're very much in the holiday spirit

1761
01:31:38,400 --> 01:31:41,200
Speaker 1: and within the holiday spirit, Crystal, what are we doing

1762
01:31:41,600 --> 01:31:43,479
Speaker 1: for the holidays to try and give back? So, guys,

1763
01:31:43,520 --> 01:31:45,400
Speaker 1: we wanted to think about something we could do that

1764
01:31:45,400 --> 01:31:48,080
Speaker 1: would be consistent with the values that we believe it

1765
01:31:48,160 --> 01:31:50,400
Speaker 1: and that we hope you support as well. We've been

1766
01:31:50,479 --> 01:31:54,080
Speaker 1: tracking the labor movement, some exciting developments across the country,

1767
01:31:54,160 --> 01:31:57,080
Speaker 1: but also some really difficult times for workers. One of

1768
01:31:57,120 --> 01:31:59,800
Speaker 1: the strikes that has been the longest going in the country,

1769
01:32:00,000 --> 01:32:02,599
Speaker 1: which gets very little, frankly, media attention, is the Warrior

1770
01:32:02,680 --> 01:32:05,720
Speaker 1: Met coal miners down in Alabama. They have been on

1771
01:32:05,800 --> 01:32:09,160
Speaker 1: strike for months and months and months, going up against

1772
01:32:09,200 --> 01:32:11,840
Speaker 1: not just their company, but these private equity giants that

1773
01:32:11,960 --> 01:32:15,160
Speaker 1: now own that company. They're asking for very little just

1774
01:32:15,240 --> 01:32:18,040
Speaker 1: to get back to their twenty sixteen wages. So in

1775
01:32:18,200 --> 01:32:21,479
Speaker 1: order to support them during the holiday season when they

1776
01:32:21,560 --> 01:32:25,000
Speaker 1: have been going without wages for so long, we are

1777
01:32:25,120 --> 01:32:28,240
Speaker 1: going to contribute twenty five thousand dollars to their strike

1778
01:32:28,320 --> 01:32:31,559
Speaker 1: fund so that they can just to help them get survived.

1779
01:32:31,880 --> 01:32:34,240
Speaker 1: We would love to encourage you if you're able to

1780
01:32:34,360 --> 01:32:38,120
Speaker 1: support their strike fund as well. You know, I know

1781
01:32:38,240 --> 01:32:40,479
Speaker 1: some of them have had medical bills and challenges that

1782
01:32:40,600 --> 01:32:43,000
Speaker 1: way to make sure that their kids going there for

1783
01:32:43,120 --> 01:32:45,439
Speaker 1: such a long time. Yeah, these are families, so their

1784
01:32:45,479 --> 01:32:47,640
Speaker 1: kids can have a nice Christmas and all of that.

1785
01:32:47,840 --> 01:32:49,600
Speaker 1: So if you're able to give, we would love to

1786
01:32:49,640 --> 01:32:52,839
Speaker 1: see the Breaking Points community come through for these miners.

1787
01:32:52,960 --> 01:32:54,960
Speaker 1: And as I said, you know, we are going to

1788
01:32:55,240 --> 01:32:57,880
Speaker 1: give the first twenty five thousand dollars to help support

1789
01:32:57,880 --> 01:32:59,479
Speaker 1: them as well. That's right, well link down there in

1790
01:32:59,520 --> 01:33:01,640
Speaker 1: the description. We appreciate it. If you can, you can

1791
01:33:01,680 --> 01:33:04,439
Speaker 1: help us become a premium member today that supports our work,

1792
01:33:04,479 --> 01:33:06,720
Speaker 1: our ability to support them. All of you create a

1793
01:33:06,760 --> 01:33:09,439
Speaker 1: great show. Happy holidays, guys. I want you guys to

1794
01:33:09,520 --> 01:33:12,080
Speaker 1: get truly into the spirit. It doesn't matter how bad

1795
01:33:12,640 --> 01:33:15,639
Speaker 1: things are out there, love one another, love yourselves, everybody

1796
01:33:15,720 --> 01:33:17,639
Speaker 1: around you, and we will see you all tomorrow. See

1797
01:33:17,680 --> 01:33:18,160
Speaker 1: all tomorrow.