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

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

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Speaker 1: Happy Thursday. We have an amazing show for everybody today.

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Speaker 1: When do we have Crystal? Lots of big breaking news

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Speaker 1: this morning with regards to the Supreme Court, with regards

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Speaker 1: to potential conflict in Ukraine. Some actual good news, weird

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Speaker 1: silver lining, possibly from the supply chain crisis. We will

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Speaker 1: bring you those details. Also some details about Amazon sponsoring

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Speaker 1: a high school curriculum. They went so far as to

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Speaker 1: paint like their logos in the classroom. It's very disturbing,

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Speaker 1: but also not totally out of line with history of

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Speaker 1: those sorts of things in this country. A little bit

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Speaker 1: of a battle between Neil Young and Joe Rogan and Spotify.

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Speaker 1: We'll give you all of the latest. They're also very

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Speaker 1: excited to talk to Johann Hari. He has a new

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Speaker 1: book out. Previous books he's had Chasing the Scream about

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Speaker 1: Drug Warrior, another book about depression and what's causing it

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Speaker 1: and the drugs that are typically used to treat it.

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Speaker 1: The new book that we're going to talk to him

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Speaker 1: about today is about how your attention has been stolen

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Speaker 1: by variety of actors, not just tech, a variety of

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Speaker 1: sort of modern cultural factors. So we'll dig into all

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Speaker 1: of that. Really interesting book. I just finished it actually

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Speaker 1: this morning, but we wanted to start with the big

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Speaker 1: breaking news with regards to the Supreme Court. Yeah, that's right.

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Speaker 1: Also for our premium people. We're very sorry about the

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Speaker 1: shortened show from the last time. We're having an extra

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Speaker 1: long ame, so stay tuned for that over the weekend.

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Speaker 1: Let's start now with the Supreme Court. This is big stuff,

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Speaker 1: leaked news. Let's put it up there on the screen.

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Speaker 1: Justice Stephen Bryer. He is going to be retiring at

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Speaker 1: the end of the term in June, Crystal. So June

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Speaker 1: is going to be a pretty wild month here. We're

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Speaker 1: going to have the end of the term. Justice Brier

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Speaker 1: is going to retire, then we're going to have to

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Speaker 1: deal with the confirmation. That also is the time when

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Speaker 1: Roe versus Wade is very likely to be decided as well,

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Speaker 1: on top of a bunch of other landmark cases. So

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Speaker 1: it's going to be a fun time, as they say,

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Speaker 1: and it's going to be interesting least to watch how

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Speaker 1: that all shakes out. Of course, though, there's been some

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Speaker 1: interesting gossip being floated in Washington which the White House

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Speaker 1: is trying to tamp down, the idea being that Kamala

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Speaker 1: Harris is so unpopular and Biden has now boxed himself

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Speaker 1: in saying I must nominate a black woman. Well, two birds,

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Speaker 1: one stone right, take the vice President shunt her off

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Speaker 1: to the Supreme Court. She gets a fancy little robe

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Speaker 1: for the rest of her life. Most of us never

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Speaker 1: have to see your face anymore because the Supreme Court

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Speaker 1: doesn't allow cameras. It's win win win, as Michael Scott

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Speaker 1: once said. But the White House is shooting that down

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Speaker 1: at least for right now. Let's take a listen. Thank you.

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Speaker 1: When you were asked about the place President possibly being

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Speaker 1: selected as a Supreme Court nominee, you say you're not

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Speaker 1: going to speak to any considerations. Does that mean she

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Speaker 1: is being considered again, Peter, I'm not going to speak

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Speaker 1: to the reports of a Supreme Court justice retirement that

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Speaker 1: hasn't been announced. Well, theoretically, would someone who's theoretically I

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Speaker 1: do like that you preface it. I appreciate that. Hypothetically, theoretically,

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Speaker 1: would someone who was an attorney general of a large

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Speaker 1: state and who served with many key Senate votes be

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Speaker 1: an attractive candidate to the President for an open Supreme

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Speaker 1: Court seat. I see what you did there, Peter. But

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Speaker 1: the President has every intention, as he said before, a

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Speaker 1: running free reelection, and for running for reelection with Vice

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Speaker 1: President Harris on the ticket as his partner but again,

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Speaker 1: I will just reiterate that I have nothing more to

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Speaker 1: offer in terms of specifics or information on the reports

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Speaker 1: this morning. Okay, there, Chris, So she's shooting it down

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Speaker 1: for now. I mean, everything is always, you know, not

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Speaker 1: happening until it's happening. Look, it's probably just fan fiction

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Speaker 1: on my part, watching too much West Wing or whatever.

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Speaker 1: But you know, I think I think it actually would

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Speaker 1: be a very smart move if you think about it,

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Speaker 1: because also, as I believe, in terms of replacing a

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Speaker 1: vice president can happen through Congress. They have majorities right now.

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Speaker 1: You know, they did this with replacing Spiro Agnew and

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Speaker 1: that's how Gerald Ford eventually became president. So it's not

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Speaker 1: outside completely of the realm of possibility. Yeah, I mean,

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Speaker 1: I think that part of why it's not going to

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Speaker 1: happen is because it would be so obvious what they

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Speaker 1: were doing of just like this lady's really unpopular and

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Speaker 1: we cannot have her on the ticket, But we also

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Speaker 1: can't take her off because of identity concerns. So what

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Speaker 1: are we going to do? All right, let's just put

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Speaker 1: her on the Supreme Court. Kind of undermines, you know,

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Speaker 1: any argument about the importance of Supreme Court, et cetera,

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Speaker 1: if you're just using it to solve your temporary political problem.

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Speaker 1: But the fact that these rumors have been swirling, and

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Speaker 1: this has been swirling around DC actually for months now,

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Speaker 1: tells you everything about what a dire political circumstance they

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Speaker 1: are in right now. You've got Joe Biden, who is

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Speaker 1: extremely unpopular, but his VP, who would be the logical

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Speaker 1: choice to succeed him, of course, is even more unpopular.

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Speaker 1: And so the fact that they would even float this idea,

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Speaker 1: that this would even be circulating in the bloodstream of

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Speaker 1: Washington as a potential solution to solve their political ailments

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Speaker 1: is quite telling in and of itself. But just you know,

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Speaker 1: let's not go crazy, because I think is very unlikely

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Speaker 1: that ultimately they would go in that direction. There are

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Speaker 1: other names that are being circulated. We can throw this

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Speaker 1: tear sheet up on the screen. So Biden points to

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Speaker 1: announce first wave of nominations to recept shape US Court.

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Speaker 1: District Court Judge Katanji Brown Jackson has just been appointed

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Speaker 1: to a key appeals court. People are saying that could

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Speaker 1: signal that she is next in line to possibly be

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Speaker 1: moved up to the Supreme Court. She's got a number

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Speaker 1: of things going for She's young, she's only fifty years old,

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Speaker 1: she's a former public defender, and I haven't dug in

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Speaker 1: deep on all of the rulings and where she stands

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Speaker 1: on a variety of things, but it seems like from

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Speaker 1: what I have read so far, she's pretty good on

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Speaker 1: the issues I care most about, which is labor unions.

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Speaker 1: She's issued some labor friendly rulings. She was actually a

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Speaker 1: former clerk also too, Stephen Bryer, so you know, that

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Speaker 1: may make some sense. And then the other thing she

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Speaker 1: has going for her is the fact that she was

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Speaker 1: just recently confirmed to the DC Circuit back in June

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Speaker 1: by a vote of fifty three to forty four. All

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Speaker 1: fifty Democrats plus three Republicans got on board with her confirmation.

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Speaker 1: Those three Republicans were Susan Collins, Lindsay Graham, and Lisa Murkowski.

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Speaker 1: So Young seems to have, you know, a judicial philosophy

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Speaker 1: that Democrats would broadly feel comfortable with, and you know,

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Speaker 1: fits the identity criteria that's been laid out, and you

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Speaker 1: know they look at that that, okay, who voted for

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Speaker 1: them recently, because that just makes it harder for those

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Speaker 1: three Republicans, and for the Democrats to say, oh, we

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Speaker 1: were good with her in June, but now suddenly we

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Speaker 1: have a major issue with that is still going to

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Speaker 1: be a problem. Though Lindsay Graham already came out and said, hey, look,

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Speaker 1: you guys made us do it, so you're going to

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Speaker 1: have to do it with all these votes. Lindsay was

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Speaker 1: one of the three Republicans who went ahead and voted

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Speaker 1: for her. I do think strike Mansion and Cinema gotta

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Speaker 1: go along. I think I mean Mansion in particular. He

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Speaker 1: kicks up a fuss on these domestic economic issues to

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Speaker 1: serve his corporate donors, but he's a pretty reliable vote

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Speaker 1: when it comes to these sort of confirmation Yeah. So

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Speaker 1: I asked around and apparently Mansion has never been a

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Speaker 1: real thorn in the side whenever it comes to judicial issue.

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Speaker 1: So it's just not the same political situation. I do

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Speaker 1: have one strike against her, though, Crystal, which is that

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Speaker 1: she's related by marriage to Paul Ryan. She read flags there.

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Speaker 1: Her husband is the twin brother of Ryan's brother in law,

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Speaker 1: so related by marriage. But any sort of connection to

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Speaker 1: Paul Ryan is just frankly a bridge too well. Suspect

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Speaker 1: for me. Apparently he respects her. That's another red flag

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Speaker 1: in my opinion. Look, it's Supreme Court fights in this

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Speaker 1: particular one. Obviously it is the biggest news, and you

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Speaker 1: know that's why we chose to lead the show and

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Speaker 1: to cover it. But people need to understand that this

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Speaker 1: is not going to be the same existential level fight

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Speaker 1: that we saw here in DC around Gorsicch and around

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Speaker 1: Justice Kavanaugh and the's and this actually like pretty simple,

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Speaker 1: which is that these this is not a swing seat

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Speaker 1: like we have six ' three. We also have somebody

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Speaker 1: a liberal justice retiring being replaced. It's actually much more

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Speaker 1: of a box check for the Democratic Coalition, for Biden

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Speaker 1: and specifically for Jim Clyburn, who forced him to say

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Speaker 1: that he would nominate a black woman to the Supreme Court.

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Speaker 1: I don't know why. You know judicial stuff doesn't matter more,

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Speaker 1: but whatever, Well, sorry to pop. I think what really

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Speaker 1: happened here is Biden was not planning on picking a

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Speaker 1: black woman to be his vice president. I think he

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Speaker 1: probably wanted to pick any Colbert I didn't think of that.

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Speaker 1: And then when she was sort of implicated in what

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Speaker 1: happened with George Floyd, that put her off the table,

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Speaker 1: but he'd already made his pledge of like, don't worry,

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Speaker 1: We've got you. We're putting a black woman on the

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Speaker 1: Supreme Court when Amy was taken off the table. So

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Speaker 1: I think that's how that's my You know, this is

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Speaker 1: an educated guest based on some reporting of what I

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Speaker 1: think actually happened here that actually seems to make sense.

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Speaker 1: Riyan himself is an odd cat. I mean, he's like

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Speaker 1: eighty one years old. From Matt Stoler's writing, he's probably

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Speaker 1: one of the single worst justices whenever it comes to

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Speaker 1: corporate power. He never became an icon the way that

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Speaker 1: RBG did, or even really if you talk to legal nerds,

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Speaker 1: which unfortunately I'm friends with a lot of them, a

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Speaker 1: lot of them actually really like like Justice Kagan for example,

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Speaker 1: Briar never held the same level of esteem amongst the

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Speaker 1: liberal intelligentsia within the law world. And he has also

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Speaker 1: been pretty pissed off that all these people on Twitter

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Speaker 1: keep asking him to retire, and so from what I understand,

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Speaker 1: he's not very happy about the way that this all

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Speaker 1: went down. We have some reporting on Let's go put

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Speaker 1: that on the screen. Multiple sources say that justs Bryer

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Speaker 1: was not planning to announce his retirement today. They describe

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Speaker 1: him as upset with how this has played out. We

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Speaker 1: will await any official notice from his office and or

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Speaker 1: the Scotis Public Information Office. Justice Bryer is actually scheduled

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Speaker 1: to be at the White House today with President Biden,

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Speaker 1: so we'll see whether an announcement is forthcoming. My guess

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Speaker 1: is that he probably wants to keep everybody on their

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Speaker 1: toes and also like he's still got a job to

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Speaker 1: do at least until June, and there's some obviously very

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Speaker 1: significant decisions coming, huge decisions that are coming down the pipeline.

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Speaker 1: So Supreme Court politics is one of those things where

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Speaker 1: it really matters until it doesn't, and it's also hard

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Speaker 1: in order to parse. I would say, in this case

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Speaker 1: the confirmation fight, yes, people are going to kick up

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Speaker 1: a dust and they're you know, people are going to

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Speaker 1: try and dig up something like we'll see whether it happens,

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Speaker 1: but the stakes are just not as high as a

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Speaker 1: five to four decision or a six to three like

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Speaker 1: it was with Amy Cony Barrett in this particular case,

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Speaker 1: Like yeah, you know, it was always going to be

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Speaker 1: Joe Biden was going to get one person to put

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Speaker 1: on the Supreme Court, almost certainly a liberal Brier doing

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Speaker 1: what RBG refused to do, and you know, stepping down

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Speaker 1: while there is a Democratic president. So you know, well,

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Speaker 1: and I think that's an important point that there was

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Speaker 1: a learning that occurred with RBG. You know that she

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Speaker 1: held on and wouldn't retire and then ends up, you know,

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Speaker 1: passing away at a time that allows Trump to ultimately

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Speaker 1: pick her replacement the Court. I mean, any illusion that

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Speaker 1: the Court is some like above the fray, above politics institutions, Yes,

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Speaker 1: it's long gone. This is a partisan institution concerned with

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Speaker 1: you know, their own ideologies and with in some in

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Speaker 1: some cases, especially just as John Roberts, preserving the institution

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Speaker 1: of the Court, so kind of trying to figure out

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Speaker 1: how far can we go in service of our ideology.

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Speaker 1: So ultimately, the fact that you know, RBG didn't make

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Speaker 1: a move under Obama when she could have left Democrats

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Speaker 1: in a very in a bad position with regards to

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Speaker 1: the balance of the court. Stephen Bryer clearly took that learning.

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Speaker 1: And let's also throw this in the mix, which is

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Speaker 1: the fact that he's retiring now for the midterms. Is

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Speaker 1: also an indication of how everybody here is feeling about

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Speaker 1: democratic prospects in the midterms, because you know, you don't

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Speaker 1: just need a democratic president, you need to have a

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Speaker 1: Senate that is ultimately going to back your confirmation, as

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Speaker 1: we saw previously under Obama. So that's also why he's

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Speaker 1: doing this right now. I kind of like the last

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Speaker 1: possible moment when a confirmation can occur while Democrats are

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Speaker 1: still firmly well sort of tenuously in control of the Senate.

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Speaker 1: So I think that is the other piece of this.

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Speaker 1: You know, you mentioned Matt Dollar's piece, which I recommend

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Speaker 1: to you guys that you go and read at his

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Speaker 1: substack big subscribe there. He does a really great job

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Speaker 1: breaking these things down. I mean, the depth of knowledge

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Speaker 1: that he has on antitrust is just astonishing, the history

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Speaker 1: and the depth of specific knowledge. He's an incredible resource.

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Speaker 1: But he goes back through Justice Briers orientation and ideology

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Speaker 1: with regards to antitrust, tracks it from the beginning through

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Speaker 1: to when he becomes a Supreme Court justice, and what

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Speaker 1: you come to realize is that while there are very

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Speaker 1: clear splits on the Court when it comes to social issues,

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Speaker 1: on issues of corporate power and labor. That split has

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Speaker 1: not been nearly so clear, and oftentimes, in fact, you've

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Speaker 1: had a near unanimous or actually unanimous majority in favor

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Speaker 1: of strengthening furthering corporate power. He points him particular to

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Speaker 1: a decision that Justice Bryer was part of with regards

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Speaker 1: to Verizon that he actually helped to shape, which not

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Speaker 1: only said, yes, Verizon, you can have monopoly power, but

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Speaker 1: actually bizarrely made the case that they're having monopoly power

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Speaker 1: was a good thing for competition and strengthened anti monopoly. Somehow,

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Speaker 1: the fact that they were a monopoly actually was good

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Speaker 1: for anti monopoly. That was the bizarre and convoluted logic

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Speaker 1: of this decision that Briar again helped to shape and

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Speaker 1: sign on to and was part of. I think it

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Speaker 1: was a nine to nothing unanimous decision on the Supreme Court,

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Speaker 1: which shows you that, yes, the Republicans are the on

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Speaker 1: the court, are the most reliable sort of backstops for

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Speaker 1: corporate power. But RBG had bad decisions. Briar had a

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Speaker 1: bad ideology with regards to anti trust, and further that

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Speaker 1: sort of bipartisan corporate power consensus. Yeah, there you go.

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Speaker 1: Why don't we tell the people about more bipartisanship. Crystal, Yes, yeah, great,

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Speaker 1: great segue. Bipartisan probe war Caucus here in DC is

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Speaker 1: making the world worse, part Oney, three hundred and twenty three.

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Speaker 1: Here's the very latest with regards to Ukraine, and then

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Speaker 1: I'll get to the specific moves that Democrats and Republicans

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Speaker 1: are making. Right now, let's go ahead and throw this

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Speaker 1: New York Times tear sheet that we have here up

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Speaker 1: on the screen, so you'll recall put and put out.

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Speaker 1: Here's my list of demands I don't want, and the

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Speaker 1: biggest one being I don't want NATO to expand to Ukraine,

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Speaker 1: and I want a promise that that is not ultimately

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Speaker 1: going to happen. And he was pushing, Hey, I need

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Speaker 1: you guys to actually like respond in writing to what

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Speaker 1: my request was. So the US did deliver their written

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Speaker 1: response to Russia's demands with regard to Eastern Europe and

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Speaker 1: those you know that written response is not public, which

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Speaker 1: frankly I think it should be. I always think transparency

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Speaker 1: is good in this regards. But what Tony Blincoln, Secretary

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Speaker 1: of State, is saying publicly is that effectively they didn't

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Speaker 1: give really an inch, that everything they put in there was,

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Speaker 1: you know, things that they had already said with regards

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Speaker 1: to Russia. Here's some of the reporting they say. The

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Speaker 1: document suggests reciprocal transparency measures regarding force posture and Ukraine,

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Speaker 1: as well as measures to increase confidence regarding military exercises

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Speaker 1: and maneuvers in Europe. The Biden administration has already made

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Speaker 1: such proposals, so unclear whether the US response will have

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Speaker 1: any effect on the growing crisis over Russia's massive troop

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Speaker 1: build up along Ukraine's borders Blink and going further and

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Speaker 1: saying it reiterates publicly what we've said for many weeks.

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Speaker 1: This morning, the latest from Russia is they have not

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Speaker 1: seen the answers yet, but they are very pessimistic that

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Speaker 1: is going to address any of their concerns. So ultimately,

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Speaker 1: none of this moves the ball forward in any way

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Speaker 1: significantly at all. At the same time, Democrats partnering with

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Speaker 1: Republicans are helping to make everything worse, make and make

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Speaker 1: the possibility for diplomacy much less likely. Let's put this

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Speaker 1: next hair sheet up on the screen. From the intercept,

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Speaker 1: Sarah Sioda doing their here is saying Democrats are rushing

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Speaker 1: through a massive Ukraine defense bill. The House of Representatives

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Speaker 1: be ahead of course by Nancy Pelosi is looking to

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Speaker 1: skip markup and hold a floor vote on this package

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Speaker 1: as soon as next week. Here's the details. This legislation

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Speaker 1: would send five hundred million dollars from the Foreign Military

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Speaker 1: Financing Program to Ukraine for twenty twenty two. That would

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Speaker 1: make Ukraine the third largest recipient of such funding from

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Speaker 1: this account, surpassing only Israel. Surpassed only by Israel and Egypt.

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Speaker 1: So that's the level of military funding that they are

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Speaker 1: pushing to send to Ukraine. Of course, Republicans have their

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Speaker 1: own bad ideas with this regard. THEIRS would only give

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Speaker 1: Ukraine four hundred and fifty million versus the five hundred million,

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Speaker 1: but it's worse in a significant respect which it would

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Speaker 1: also impose sanctions related to that nord Stream to pipeline project.

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Speaker 1: So what this does is it just makes it much

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Speaker 1: more difficult for diplomacy to actually happen. It sort of

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Speaker 1: binds the administration's hands. It sends this very aggressive hawkish

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Speaker 1: signal towards Russia and is one more piece inching US

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Speaker 1: up towards having an actual conflict here and the other

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Speaker 1: thing I would say is that you know how many

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Speaker 1: of these Democrats and Republicans have been running around, Oh,

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Speaker 1: we don't have enough money, how will we pay for it? Oh,

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Speaker 1: the inflation, et cetera, et cetera. When it comes to

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Speaker 1: something like this, suddenly money's not a problem. I was

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Speaker 1: going to say, but how will we pay for it?

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Speaker 1: It's like that meme of when you do capitals, but marm,

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Speaker 1: that's basically how I feel here. The Mitch McConnell element

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Speaker 1: of this is also excellent. Yeah, go ahead and put

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Speaker 1: that on the screen from Mitch. Mitch is praising the

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Speaker 1: Biden move as encouraging after the Pentagon says it could

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Speaker 1: put more than eighty five hundred troops on alert. So look,

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Speaker 1: don't everybody. Don't let anybody ever tell you that bipartisanship

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Speaker 1: in Washington is dead. Every time you hear them complain

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Speaker 1: about it, it's not true, especially whenever it comes to

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Speaker 1: foreign policy. It's on bettering all of our lives, where

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Speaker 1: they all seem to disagree and disagree just enough that

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Speaker 1: they're not able to ever actually do anything. I think

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Speaker 1: that the important element to all of this is what

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Speaker 1: do the actual Ukrainians say? Put that on the screen

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Speaker 1: from the actual Ukrainians. Ukraine's NSC National Security Advisor Secretary

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Speaker 1: donlov tells the BBC he does not expect an imminent

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Speaker 1: invasion and does not share the quote panic, which he

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Speaker 1: connects to quote geopolitical and domestic processes in the West quote.

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Speaker 1: The build up of Russian troops isn't as rapid as

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Speaker 1: some claim. You know, this is the part where I

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Speaker 1: just feel like these I feel terrible for them. They

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Speaker 1: are being used as ponds in a great game. You know,

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Speaker 1: people here in DC, Alexander Vinman and all these other

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Speaker 1: neo cons they are not acting in a way way

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Speaker 1: that the Ukrainians want them to act. And same, I

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Speaker 1: mean the Russians obviously, you know, causing some of this crisis,

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Speaker 1: and then we with NATO and then our rhetoric ramping

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Speaker 1: up the US Congress shipping aid over there. Do the

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Speaker 1: Ukrainians even want it? Has anybody asked them to be like, hey,

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Speaker 1: what's going on? It turns out it's a complicated situation.

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Speaker 1: Turns out also they find the rhetoric, the alarmist rhetoric

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Speaker 1: from Moscow and Washington to not match the actual situation period.

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Speaker 1: That is the part which actually drives me completely nuts,

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Speaker 1: which is, you know, lack of regional understanding of the

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Speaker 1: dynamics both in our past either promises, guarantees, whatever you

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Speaker 1: want to call it around NATO. The history also of

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Speaker 1: Ukraine itself over the last ten years has been complete mess.

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Speaker 1: Obviously with the civil war and the dun Boss and

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Speaker 1: then our own efforts in order to arm the Ukrainian

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Speaker 1: military or not, big debates. Neither of that worked, by

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Speaker 1: the way, Yeah, same in terms of Moscow. A lot

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Speaker 1: of their gambles on how this was all going to

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Speaker 1: play out didn't exactly work out as well. The lack

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Speaker 1: of holistic perspective is creating a massive moral panic here

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Speaker 1: in Washington, which the actual Ukrainians are telling us does

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Speaker 1: not exist. And they are telling us that it's not helpful, Crystal.

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Speaker 1: I mean, why can't we listen to them if this

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Speaker 1: was another country, you know, let's let's take other examples

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Speaker 1: that had been invaded and stuff in the past. They

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Speaker 1: are almost always the ones who are warning the loudest,

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Speaker 1: saying hey, please come, we need aid, we need help.

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Speaker 1: They're telling you explicitly stop. What you're doing is actually

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Speaker 1: making the situation much worse. It's terrible because they really

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Speaker 1: are being used like ponds. And then you can tell

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Speaker 1: how much propaganda you're being fed by the US news

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Speaker 1: media by the fact that no one, I don't want

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Speaker 1: to show you that. Yeah that's from BBC Ukraine. You

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Speaker 1: had to find it. I'm translated, I'm on Twitter and

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Speaker 1: I was like, how could I mean, you know, the shows,

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Speaker 1: how naive. I just continue to be like, this kind

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Speaker 1: of can't be real because I'm not seeing it anywhere else. Yes,

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Speaker 1: but look this is some real BBC journalists for Russia,

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Speaker 1: so no, it's a real statement. They really said this.

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Speaker 1: And it also tracks with the fact that when we

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Speaker 1: pulled out our diplomat's families along with you know, pressuring

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Speaker 1: like UK and Australia and I think one of their

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Speaker 1: Germany was at the dinner. They were like, stop doing this.

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Speaker 1: This isn't helpful, Like this is alarmist, You're freaking out

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Speaker 1: and it's actually making the situation worse and trying to

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Speaker 1: emphasize that, hey, we've got all of these different diplomatic missions,

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Speaker 1: over one hundred here in Ukraine and only these four

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Speaker 1: are doing this. So just keep in mind that what

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Speaker 1: the overall picture looks like is different from what you're

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Speaker 1: getting right now from the US news media, and I

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Speaker 1: think that is extraordinarily important. The other thing I want

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Speaker 1: to say here is there's starting to set in this

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Speaker 1: like culture war brain rot too, because Tucker Carlson, who

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Speaker 1: I have all kinds of issues with guys, has been

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Speaker 1: more right on this issue than almost anyone else in

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Speaker 1: mainstream press. And listen, I haven't listened to all of

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Speaker 1: his commentary, so I do not want to co sign

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Speaker 1: all of the things that he's been saying. But what

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Speaker 1: I have seen he has tried to lay out, Hey,

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Speaker 1: this is maybe the rush perspective here, and hey, this

430
00:23:02,280 --> 00:23:05,160
Speaker 1: is probably why it's not worth us sending our men

431
00:23:05,200 --> 00:23:09,000
Speaker 1: and women to potentially fight and die over Ukraine's borders.

432
00:23:09,200 --> 00:23:11,639
Speaker 1: I saw a piece in Axios this morning where they

433
00:23:11,640 --> 00:23:17,040
Speaker 1: were lamenting how many Republican candidates and in particular candidates

434
00:23:17,040 --> 00:23:20,160
Speaker 1: and primaries we're picking up on Tucker's rhetoric, and they're like, oh,

435
00:23:20,160 --> 00:23:23,760
Speaker 1: this is so terrible that they're now echoing the fact

436
00:23:23,800 --> 00:23:26,480
Speaker 1: that we don't want to go to war. That's what

437
00:23:26,560 --> 00:23:29,320
Speaker 1: they are lamenting. That's what he's getting called like a

438
00:23:29,480 --> 00:23:33,480
Speaker 1: traitor in all these insanity because he doesn't want us

439
00:23:33,520 --> 00:23:36,040
Speaker 1: to go to war again. I have lots of issues

440
00:23:36,080 --> 00:23:38,040
Speaker 1: with this man that I have laid out plenty in

441
00:23:38,080 --> 00:23:41,399
Speaker 1: the past, but it is a sad state of affairs

442
00:23:41,840 --> 00:23:44,960
Speaker 1: that on this particular issue he's as close as it

443
00:23:45,000 --> 00:23:47,560
Speaker 1: comes in the mainstream media to actually having a decent take.

444
00:23:47,600 --> 00:23:51,320
Speaker 1: But because it's him, then there becomes this other sort

445
00:23:51,359 --> 00:23:55,120
Speaker 1: of counterbalance on the Democratic side of oh no, we've

446
00:23:55,119 --> 00:23:57,960
Speaker 1: got to be hawkish with regards to Russia. It's Russia

447
00:23:58,040 --> 00:24:01,199
Speaker 1: Gate all over again with this stuff, and it just

448
00:24:01,280 --> 00:24:04,159
Speaker 1: drives me completely insane. And that's how you end up

449
00:24:04,200 --> 00:24:06,840
Speaker 1: with a bill like this one that they intercept reported

450
00:24:06,880 --> 00:24:10,680
Speaker 1: on potentially being sped through Congress with no markup vote

451
00:24:10,680 --> 00:24:12,400
Speaker 1: as soon as next week, you know, Christal. It also

452
00:24:12,480 --> 00:24:14,520
Speaker 1: just tells you, outside of the Tucker element, how full

453
00:24:14,520 --> 00:24:17,240
Speaker 1: of it some of these people are. They are always

454
00:24:17,400 --> 00:24:22,000
Speaker 1: waxing on about the transatlanticket lions and the continental European

455
00:24:22,040 --> 00:24:25,520
Speaker 1: and the connection with the United States. Ask the Europeans,

456
00:24:25,760 --> 00:24:28,639
Speaker 1: Ask Berlin, Berlin doesn't want to go to war. Berlin,

457
00:24:28,760 --> 00:24:31,800
Speaker 1: for their own idiotic domestic reasons, decided to stop nuclear

458
00:24:31,800 --> 00:24:34,400
Speaker 1: power and be reliant on Russia. You know what, I think.

459
00:24:34,400 --> 00:24:36,960
Speaker 1: You're idiots. You run your country the way you want, Okay,

460
00:24:37,040 --> 00:24:39,760
Speaker 1: I don't care. You decide it's your territory. At the

461
00:24:39,840 --> 00:24:41,880
Speaker 1: end of the day, you're ten times closer to them

462
00:24:42,040 --> 00:24:44,960
Speaker 1: than we are. You people decide, why should we have

463
00:24:45,080 --> 00:24:48,960
Speaker 1: to be more hawkish about Germany's borders than Germany itself?

464
00:24:49,240 --> 00:24:52,679
Speaker 1: Why if Brussels and the EU are telling us that

465
00:24:52,720 --> 00:24:55,720
Speaker 1: we're freaking out and causing a panic on their continent,

466
00:24:55,880 --> 00:24:58,240
Speaker 1: why don't we listen to them? I mean, since when

467
00:24:58,280 --> 00:25:00,960
Speaker 1: has it that we have to make your in our

468
00:25:01,040 --> 00:25:04,480
Speaker 1: own image. It's not nineteen forty five, okay. I mean

469
00:25:04,560 --> 00:25:07,080
Speaker 1: we built them up specifically so that they could have

470
00:25:07,280 --> 00:25:10,399
Speaker 1: determined and determine their own destiny. If they decide in

471
00:25:10,480 --> 00:25:13,159
Speaker 1: order to live with this situation with Russia, so be it.

472
00:25:13,320 --> 00:25:15,560
Speaker 1: That is not our problem. In order to say that,

473
00:25:15,680 --> 00:25:18,080
Speaker 1: I'd also point to this, people are trying to draw

474
00:25:18,119 --> 00:25:21,679
Speaker 1: comparisons with Asia. It's completely different. The South Koreans and

475
00:25:21,760 --> 00:25:24,879
Speaker 1: the Japanese and the Singaporeans, the Vietnamese and many of

476
00:25:24,920 --> 00:25:27,920
Speaker 1: our allies in Asia are way more hawkish than we

477
00:25:27,960 --> 00:25:31,080
Speaker 1: are in terms of against China. They are way more

478
00:25:31,119 --> 00:25:34,000
Speaker 1: concerned about what's actually happening in there, and if anything,

479
00:25:34,040 --> 00:25:36,000
Speaker 1: the US is very much following the mood of the

480
00:25:36,000 --> 00:25:38,280
Speaker 1: people in the region, whereas here we are trying to

481
00:25:38,320 --> 00:25:42,359
Speaker 1: impose the institutional insanity of our think tank class upon

482
00:25:42,440 --> 00:25:45,920
Speaker 1: the actual Europeans themselves. Well, and keep in mind, keep

483
00:25:45,960 --> 00:25:49,720
Speaker 1: in mind that there are the Ukrainians are pouring to

484
00:25:49,840 --> 00:25:53,680
Speaker 1: some domestic political concerns that may be weighing into why

485
00:25:53,720 --> 00:25:56,439
Speaker 1: we're seeing this play out right now. And you know,

486
00:25:56,520 --> 00:25:59,080
Speaker 1: I don't doubt Look, I'm not want to be like, oh,

487
00:25:59,160 --> 00:26:00,880
Speaker 1: Russia is a good actor in this in their grade

488
00:26:00,920 --> 00:26:03,600
Speaker 1: and who has enough to play? Nobody's saying that. However,

489
00:26:03,880 --> 00:26:06,800
Speaker 1: Let's keep in mind that who's been most aggressive in

490
00:26:07,080 --> 00:26:10,439
Speaker 1: pushing this stuff from the west point of view, the

491
00:26:10,600 --> 00:26:13,680
Speaker 1: US and the UK. You have two world leaders there

492
00:26:13,720 --> 00:26:18,480
Speaker 1: who are tremendously unpopular domestically in big trouble right now.

493
00:26:18,920 --> 00:26:22,760
Speaker 1: Guess what is very effective sometimes in helping to revive

494
00:26:22,880 --> 00:26:26,880
Speaker 1: or distract from other political problems, helping to create some

495
00:26:26,920 --> 00:26:30,639
Speaker 1: sort of a foreign entanglement that is very you know,

496
00:26:31,000 --> 00:26:34,760
Speaker 1: very fraught and very stressful to keep the population focused

497
00:26:34,800 --> 00:26:36,359
Speaker 1: on that, That's one thing. And then of course you

498
00:26:36,440 --> 00:26:39,840
Speaker 1: also have the fact that right now we've withdrawn from Afghanistan,

499
00:26:39,920 --> 00:26:42,040
Speaker 1: and I don't think it's any accident that now the

500
00:26:42,080 --> 00:26:44,399
Speaker 1: military industrial complex is like, where do we get our

501
00:26:44,400 --> 00:26:47,560
Speaker 1: next buck from? What's the next what's the next arms deal,

502
00:26:47,640 --> 00:26:49,879
Speaker 1: what's the where's the next place you know that we

503
00:26:49,880 --> 00:26:51,800
Speaker 1: can get involved with that's going to be make sure

504
00:26:51,800 --> 00:26:54,359
Speaker 1: that we get the cash that we've been accustomed to

505
00:26:54,480 --> 00:26:56,960
Speaker 1: over the coming years. So those are the sorts of

506
00:26:57,040 --> 00:27:00,720
Speaker 1: factors that Ukrainians are actually seeing pretty clearly. They're based

507
00:27:00,720 --> 00:27:03,120
Speaker 1: on that statement where they're saying, hey, listen, I mean,

508
00:27:03,160 --> 00:27:05,760
Speaker 1: this is not a good situation, but you all are

509
00:27:05,800 --> 00:27:08,679
Speaker 1: going way further than what we're actually seeing happening on

510
00:27:08,760 --> 00:27:10,920
Speaker 1: the ground here. So I would listen to them way

511
00:27:10,920 --> 00:27:13,480
Speaker 1: before I listened to whatever our news media is trying

512
00:27:13,480 --> 00:27:18,080
Speaker 1: to spin us on. Well said, okay, let's move on

513
00:27:18,520 --> 00:27:20,520
Speaker 1: some good news. You know, this is something we very

514
00:27:20,600 --> 00:27:23,359
Speaker 1: rarely get to report here. So we compiled a bunch

515
00:27:23,359 --> 00:27:26,000
Speaker 1: of stories where obviously we've talked a lot about the

516
00:27:26,000 --> 00:27:29,560
Speaker 1: supply chain crisis, about semiconductors, in particular the chips which

517
00:27:29,600 --> 00:27:32,280
Speaker 1: are going to run everything. They really do determine our future.

518
00:27:32,320 --> 00:27:34,320
Speaker 1: It's why you can't buy a new car right now.

519
00:27:34,520 --> 00:27:36,800
Speaker 1: It's why, right now in the United States we have

520
00:27:36,840 --> 00:27:39,320
Speaker 1: a face a critical shortage, which I will get to.

521
00:27:39,640 --> 00:27:42,520
Speaker 1: Well that shortage, well, yes, it's been awful and it has,

522
00:27:42,600 --> 00:27:45,200
Speaker 1: you know, driven prices up for millions and millions of people.

523
00:27:45,400 --> 00:27:48,560
Speaker 1: It has made life more miserable. Is at least forcing

524
00:27:48,600 --> 00:27:52,720
Speaker 1: some companies in order to reconsider globalization and start trying

525
00:27:52,800 --> 00:27:55,800
Speaker 1: to build things in America. Again, look at that crystal.

526
00:27:56,000 --> 00:27:58,399
Speaker 1: It turns out it was that simple the entire time.

527
00:27:58,560 --> 00:28:00,280
Speaker 1: So let's put this up there on the screen. This

528
00:28:00,320 --> 00:28:02,280
Speaker 1: is a first really good piece of news from the

529
00:28:02,320 --> 00:28:06,520
Speaker 1: Detroit Free Press. GM is going to invest seven billion

530
00:28:06,600 --> 00:28:11,240
Speaker 1: dollars in four facilities across Mischigan, Michigan, creating four thousand jobs,

531
00:28:11,320 --> 00:28:14,600
Speaker 1: four thousands of paltry sum compared to the millions that

532
00:28:14,600 --> 00:28:17,200
Speaker 1: were lost to China after the entry into the WTO.

533
00:28:17,440 --> 00:28:20,640
Speaker 1: But it's something and even more important is that these

534
00:28:20,720 --> 00:28:23,960
Speaker 1: two point six billion will be building a new battery

535
00:28:24,040 --> 00:28:28,119
Speaker 1: factory actually in Lansing, Michigan, and four billion to exist

536
00:28:28,359 --> 00:28:31,560
Speaker 1: a convert in existing factory to make electric pickups, So

537
00:28:31,880 --> 00:28:36,320
Speaker 1: making America the domestic future for electric vehicles, making it

538
00:28:36,359 --> 00:28:38,720
Speaker 1: so that we can fulfill our destiny if we really

539
00:28:38,720 --> 00:28:42,360
Speaker 1: do want to do something about our use of petroleum

540
00:28:42,520 --> 00:28:44,960
Speaker 1: and try to transfer to an electric future. We are

541
00:28:45,120 --> 00:28:48,160
Speaker 1: a decade or more behind China in terms of their

542
00:28:48,160 --> 00:28:50,240
Speaker 1: domestic supply chain. This is what they were doing in

543
00:28:50,280 --> 00:28:52,840
Speaker 1: two thousand and eight, two thousand and nine, so we

544
00:28:52,920 --> 00:28:55,880
Speaker 1: have still a big catchup to do. But look, this

545
00:28:55,920 --> 00:28:58,040
Speaker 1: is a real thing that I want to point to.

546
00:28:58,320 --> 00:29:01,400
Speaker 1: Give props to GM. Prop also to the people who

547
00:29:01,520 --> 00:29:03,680
Speaker 1: you know, the union which was involved as well. They're

548
00:29:03,720 --> 00:29:05,960
Speaker 1: very very happy about this. I think that's awesome. Let's

549
00:29:06,000 --> 00:29:08,120
Speaker 1: put this next one up there on the screen, another

550
00:29:08,160 --> 00:29:10,160
Speaker 1: really good piece of news. I'll tell you why. I also,

551
00:29:10,200 --> 00:29:13,440
Speaker 1: I'm so excited about this one is Intel is investing

552
00:29:13,720 --> 00:29:17,760
Speaker 1: twenty billion dollars wow, in an Ohio chip making facility.

553
00:29:18,000 --> 00:29:20,080
Speaker 1: And what I'm really happy about in these two cases

554
00:29:20,320 --> 00:29:22,280
Speaker 1: is that the two things that we just announced, they're

555
00:29:22,280 --> 00:29:26,400
Speaker 1: not in the sun Belt in Arizona, in Texas, you know,

556
00:29:26,480 --> 00:29:29,360
Speaker 1: in Georgia, which look nothing against those states, but they've

557
00:29:29,360 --> 00:29:31,560
Speaker 1: been doing a little bit too well. I'm joking, but

558
00:29:31,800 --> 00:29:34,120
Speaker 1: that's where the population growth is coming. You know, some

559
00:29:34,160 --> 00:29:36,160
Speaker 1: of the more downwardly mobile parts of the United states

560
00:29:36,200 --> 00:29:39,080
Speaker 1: were being neglected. So to see Michigan and Ohio, the

561
00:29:39,080 --> 00:29:42,440
Speaker 1: people there who suffered so much from globalization, to see

562
00:29:42,440 --> 00:29:45,920
Speaker 1: these what twenty seven billion dollars of capital beeting injected

563
00:29:46,240 --> 00:29:50,400
Speaker 1: into their states. This is great stuff. Also because this

564
00:29:50,480 --> 00:29:53,040
Speaker 1: is not only three thousand permanent jobs in terms of

565
00:29:53,040 --> 00:29:56,080
Speaker 1: the chip making facility and the eventual fab which will come,

566
00:29:56,280 --> 00:29:58,560
Speaker 1: but it actually is going to bring in one hundred

567
00:29:58,680 --> 00:30:01,600
Speaker 1: billion over the next day decade. And what did we

568
00:30:01,680 --> 00:30:04,600
Speaker 1: learn with GM and the plant closures all throughout the

569
00:30:04,640 --> 00:30:07,400
Speaker 1: mid two thousands. It's not just about the plants. There's

570
00:30:07,440 --> 00:30:10,720
Speaker 1: stuff around them. There's the dry cleaner which services the

571
00:30:10,760 --> 00:30:13,680
Speaker 1: guys who work there. There's the restaurants. Then there are

572
00:30:13,720 --> 00:30:16,000
Speaker 1: the people who sell the stuff to the GM plant,

573
00:30:16,200 --> 00:30:19,000
Speaker 1: the raw inputs. The more of that that we onshore

574
00:30:19,080 --> 00:30:22,360
Speaker 1: bring into the domestic supply chain. Number One, we rule

575
00:30:22,400 --> 00:30:26,280
Speaker 1: our future. It's not acceptable to be reliant upon a

576
00:30:26,320 --> 00:30:29,959
Speaker 1: foreign rival power in order to power the technology that

577
00:30:30,000 --> 00:30:32,560
Speaker 1: we need in order to number one, be competitive, but

578
00:30:32,600 --> 00:30:35,080
Speaker 1: too to live. And then the third is is that

579
00:30:35,120 --> 00:30:38,160
Speaker 1: we need to at least forge a way that you

580
00:30:38,320 --> 00:30:40,959
Speaker 1: don't have to be in the information economy. The information

581
00:30:41,000 --> 00:30:43,480
Speaker 1: economy is not for everybody, and that's fine, and you

582
00:30:43,480 --> 00:30:46,320
Speaker 1: shouldn't have to be relegated to serf them in serving

583
00:30:46,360 --> 00:30:49,520
Speaker 1: the people in the information economy in order to survive.

584
00:30:49,600 --> 00:30:52,160
Speaker 1: So this is exactly what's missing from the US economy

585
00:30:52,320 --> 00:30:54,880
Speaker 1: right now. It is you know, look, it's not enough.

586
00:30:55,080 --> 00:30:57,600
Speaker 1: We lost hundreds of billions, so this is twenty seven billion,

587
00:30:57,840 --> 00:31:00,120
Speaker 1: but it's something, and it makes it so that other

588
00:31:00,200 --> 00:31:02,320
Speaker 1: companies can follow suit. I also want to give props

589
00:31:02,320 --> 00:31:05,000
Speaker 1: to the Biden administration. They did praise and tell all

590
00:31:05,040 --> 00:31:07,240
Speaker 1: of that. Thank you. By the way, this is exactly

591
00:31:07,320 --> 00:31:09,560
Speaker 1: what the government should be doing. So two pieces of

592
00:31:09,560 --> 00:31:12,760
Speaker 1: really good news that we have. Yeah, on the Michigan

593
00:31:12,960 --> 00:31:16,239
Speaker 1: GM news too, it's unclear in Ohio, but these will

594
00:31:16,280 --> 00:31:19,280
Speaker 1: be union jobs and that GM exactly. That matters a

595
00:31:19,280 --> 00:31:22,640
Speaker 1: lot as well. We got some numbers just recently that

596
00:31:23,040 --> 00:31:26,040
Speaker 1: even though we've covered, of course, the great resignation and

597
00:31:26,080 --> 00:31:28,360
Speaker 1: the union drives and Starbucks and all of those things,

598
00:31:28,800 --> 00:31:33,840
Speaker 1: union density continued to fall significantly last year, in part,

599
00:31:33,880 --> 00:31:36,440
Speaker 1: I'm sure because of the continued effects of the pandemic

600
00:31:36,520 --> 00:31:38,360
Speaker 1: and in part because listen, we've been in a forty

601
00:31:38,440 --> 00:31:42,600
Speaker 1: year trend of union density. Ultimately, falling. That matters a

602
00:31:42,640 --> 00:31:46,720
Speaker 1: lot in terms of just having some countervailing force to

603
00:31:46,760 --> 00:31:50,600
Speaker 1: push back against the imperative of corporate America to just

604
00:31:50,680 --> 00:31:53,960
Speaker 1: fixate on profits and to shrink and shrink and shrink

605
00:31:54,280 --> 00:31:56,840
Speaker 1: the share of the pie that is going to the workforce.

606
00:31:56,880 --> 00:31:59,680
Speaker 1: So little moves like this that helped to bolster the

607
00:31:59,800 --> 00:32:03,200
Speaker 1: laber movement. I mean, a big part of why you've

608
00:32:03,240 --> 00:32:06,440
Speaker 1: had the labor movement crumble and fall apart is because

609
00:32:06,480 --> 00:32:10,080
Speaker 1: you did have this massive outsourcing of jobs that had

610
00:32:10,120 --> 00:32:13,640
Speaker 1: been previously unionized. So helping to rebuild that, even in

611
00:32:13,640 --> 00:32:16,080
Speaker 1: a small way, makes a big difference. To your point

612
00:32:16,120 --> 00:32:20,720
Speaker 1: about the follow on effects from the investments here with

613
00:32:20,760 --> 00:32:22,880
Speaker 1: regards to Michigan, they say for each new full time

614
00:32:22,960 --> 00:32:25,960
Speaker 1: job created at a factory, typically two more jobs are

615
00:32:25,960 --> 00:32:28,680
Speaker 1: created elsewhere in the state in relation to that plant.

616
00:32:28,960 --> 00:32:32,640
Speaker 1: Small businesses thrive. I mean, you know, it's just creates

617
00:32:32,640 --> 00:32:35,240
Speaker 1: a much healthier ecosystem. And if you've lived in this

618
00:32:35,320 --> 00:32:38,240
Speaker 1: part of the country where you've seen those factory jobs

619
00:32:38,280 --> 00:32:41,160
Speaker 1: go away, you see the way that it just strips

620
00:32:41,200 --> 00:32:44,560
Speaker 1: the whole lifeblood out of a community. So for in

621
00:32:44,600 --> 00:32:46,560
Speaker 1: a rare instance to see a little bit of that

622
00:32:46,640 --> 00:32:49,880
Speaker 1: injected back in is heartening, even though again we shouldn't

623
00:32:49,880 --> 00:32:53,280
Speaker 1: overstate the scale of this. It's sad that it took

624
00:32:53,600 --> 00:33:00,640
Speaker 1: a like global pandemic, catastrophic supply chain failure, or the

625
00:33:00,720 --> 00:33:03,840
Speaker 1: capitalists involved to be like, you know, it might have

626
00:33:03,920 --> 00:33:07,120
Speaker 1: been better if we weren't so dependent on everywhere else

627
00:33:07,160 --> 00:33:09,280
Speaker 1: in the world. It might have been better for us.

628
00:33:09,480 --> 00:33:12,520
Speaker 1: This is not charity. They're not doing this because they

629
00:33:12,560 --> 00:33:16,400
Speaker 1: care about Michiganders or they care about unions, got you know,

630
00:33:17,240 --> 00:33:20,640
Speaker 1: furthest from that that it could possibly be. It's because

631
00:33:21,080 --> 00:33:24,600
Speaker 1: they have calculated that this supply chain issue has been

632
00:33:24,640 --> 00:33:27,760
Speaker 1: a massive hit to their bottom line and that maybe

633
00:33:27,760 --> 00:33:30,400
Speaker 1: if they had invested a little bit more here and

634
00:33:30,560 --> 00:33:33,840
Speaker 1: having native capacity, then they would be in a better

635
00:33:33,880 --> 00:33:38,440
Speaker 1: position to profit right now. Of course, the trend over decades,

636
00:33:38,440 --> 00:33:40,280
Speaker 1: and this is a big part of why we're having

637
00:33:40,320 --> 00:33:42,920
Speaker 1: the price increases and all the issues that we're having

638
00:33:42,960 --> 00:33:45,040
Speaker 1: right now. The trend over decades has been towards just

639
00:33:45,120 --> 00:33:47,920
Speaker 1: in time. The trend over decades has been towards hey,

640
00:33:48,120 --> 00:33:50,959
Speaker 1: let's shave off whatever we can from labor costs, no

641
00:33:51,000 --> 00:33:54,120
Speaker 1: matter where we're pushing it around the world, and that

642
00:33:54,200 --> 00:33:58,240
Speaker 1: has made these companies and our supply chains extremely fragile.

643
00:33:58,440 --> 00:34:01,040
Speaker 1: If there's one thing we should have learned in the pandemic,

644
00:34:01,440 --> 00:34:04,040
Speaker 1: it's that listen, as a country, we have to have

645
00:34:04,120 --> 00:34:07,800
Speaker 1: some of our own native capacity to build things, and

646
00:34:07,800 --> 00:34:11,120
Speaker 1: in particular be able to create things like ppe, which

647
00:34:11,200 --> 00:34:13,520
Speaker 1: we learned was you know, sourced around the world. So

648
00:34:14,200 --> 00:34:16,040
Speaker 1: with regards to chips, you probably know more about this

649
00:34:16,120 --> 00:34:18,600
Speaker 1: than I do. But there was a build up passed

650
00:34:18,640 --> 00:34:20,880
Speaker 1: through the Senate. Yeah, the Chips hack. That's still hanging

651
00:34:20,920 --> 00:34:23,000
Speaker 1: out in the house. So I don't know what's going

652
00:34:23,040 --> 00:34:25,480
Speaker 1: on with that, why they haven't pushed that forward. But

653
00:34:25,840 --> 00:34:27,400
Speaker 1: you know, you look at China and why they have

654
00:34:27,440 --> 00:34:29,480
Speaker 1: such an advantage on these things, it's because they have

655
00:34:29,520 --> 00:34:32,720
Speaker 1: a national strategy, because they have priorities, because they say, listen,

656
00:34:32,719 --> 00:34:34,960
Speaker 1: this industry is important to us. We want to be

657
00:34:35,000 --> 00:34:36,600
Speaker 1: a global leader. I know, we're going to invest it,

658
00:34:36,640 --> 00:34:38,120
Speaker 1: We're going to make it happen. Now that's a lot

659
00:34:38,160 --> 00:34:42,799
Speaker 1: easier when you have an authoritarian government effectively, but obviously

660
00:34:43,160 --> 00:34:47,120
Speaker 1: there are values other than just shareholders making a buck

661
00:34:47,400 --> 00:34:51,080
Speaker 1: and corporate bottom line that our country should be investing

662
00:34:51,080 --> 00:34:53,759
Speaker 1: in here as well, and we shouldn't be dependent on

663
00:34:53,840 --> 00:34:57,960
Speaker 1: the global corporations to experience, you know, a once in

664
00:34:58,000 --> 00:35:01,719
Speaker 1: a lifetime pandemic to realize that we need to go

665
00:35:01,760 --> 00:35:03,640
Speaker 1: in a slightly different direction. I completely agree, and I

666
00:35:03,680 --> 00:35:05,640
Speaker 1: want to also reiterate what you said. Let's go ahead

667
00:35:05,640 --> 00:35:07,160
Speaker 1: and put that next one up there on the screen.

668
00:35:07,239 --> 00:35:09,880
Speaker 1: This is from the Cleveland or the Columbus Dispatch, and

669
00:35:09,880 --> 00:35:13,080
Speaker 1: they specifically tell the story of how Ohio got this,

670
00:35:13,560 --> 00:35:15,919
Speaker 1: some of it I'm not the biggest fan of, which

671
00:35:15,960 --> 00:35:19,680
Speaker 1: is basically throwing them out. Yeah, yeah, look, it is

672
00:35:19,719 --> 00:35:22,200
Speaker 1: what it is. I personally don't like these, you know,

673
00:35:22,480 --> 00:35:25,560
Speaker 1: reality style shows in order to lure companies, but I

674
00:35:25,600 --> 00:35:28,560
Speaker 1: get it. But within that story, and something that's very

675
00:35:28,600 --> 00:35:32,240
Speaker 1: important is specifically the passage of the Chips for America

676
00:35:32,280 --> 00:35:35,520
Speaker 1: Act that passed the Senate, which includes fifty two billion

677
00:35:35,560 --> 00:35:39,040
Speaker 1: for semiconductor research, design, and manufacturing, and the knowledge that

678
00:35:39,080 --> 00:35:41,799
Speaker 1: Intel had that some of that funding would eventually come

679
00:35:41,840 --> 00:35:45,320
Speaker 1: towards them, specifically through the Chips Act, which it has passage.

680
00:35:45,400 --> 00:35:49,200
Speaker 1: So look, government can influence these decisions. Don't let anybody

681
00:35:49,239 --> 00:35:51,560
Speaker 1: tell you it's just like some raucous free market. And

682
00:35:51,600 --> 00:35:53,920
Speaker 1: this is the other thing about China. Give me I

683
00:35:53,960 --> 00:35:58,000
Speaker 1: interviewed this guy's named Stephen Levine, who writes about electric cars.

684
00:35:58,160 --> 00:36:00,560
Speaker 1: This was over on the realignment, but we spent over

685
00:36:00,600 --> 00:36:03,480
Speaker 1: an hour talking about this around the electric car domestic

686
00:36:03,520 --> 00:36:06,960
Speaker 1: supply chain, and he explained very, very very in a

687
00:36:07,040 --> 00:36:11,040
Speaker 1: scary way, really about how China, as you said, identified

688
00:36:11,040 --> 00:36:13,120
Speaker 1: twelve years ago, they were like, we're going electric. We're

689
00:36:13,120 --> 00:36:16,640
Speaker 1: going all electric, execute and so they went all over

690
00:36:16,640 --> 00:36:18,799
Speaker 1: the world. We did that New York Times story here

691
00:36:18,840 --> 00:36:20,879
Speaker 1: that we covered about how they acquired the rights these

692
00:36:20,880 --> 00:36:24,400
Speaker 1: cobalt mines and the raw materials. Then they brought in Tesla,

693
00:36:24,520 --> 00:36:26,040
Speaker 1: threw a bunch of money at them and were like, hey,

694
00:36:26,040 --> 00:36:28,080
Speaker 1: go ahead and build our domestic supply chain for us,

695
00:36:28,280 --> 00:36:31,320
Speaker 1: bring it the sourcing, which they did, and now China's

696
00:36:31,320 --> 00:36:33,440
Speaker 1: electric cars are on par with Tesla. These are like,

697
00:36:33,480 --> 00:36:36,040
Speaker 1: I don't like, these are real cars. They're really really

698
00:36:36,080 --> 00:36:39,560
Speaker 1: good electric cars. They are over a decade ahead of us,

699
00:36:39,719 --> 00:36:41,960
Speaker 1: not only in the control of the supply, but also

700
00:36:42,000 --> 00:36:44,560
Speaker 1: frankly soon and you can already see this out in

701
00:36:44,560 --> 00:36:47,080
Speaker 1: San Francisco. Some people are buying the Chinese electric cars

702
00:36:47,080 --> 00:36:49,680
Speaker 1: because they're more fun to drive. So this is something

703
00:36:49,719 --> 00:36:53,360
Speaker 1: where our lack of action has left us a decade

704
00:36:53,440 --> 00:36:55,719
Speaker 1: behind whenever it comes to this. Of course, the fact

705
00:36:55,719 --> 00:36:58,360
Speaker 1: that the Chips Act languishes in the House of Representatives

706
00:36:58,400 --> 00:37:02,719
Speaker 1: under Nancy Pelosi for example of why. But still it

707
00:37:02,880 --> 00:37:06,000
Speaker 1: influenced the decision making and is bringing real jobs to

708
00:37:06,080 --> 00:37:08,840
Speaker 1: the state of Ohio, real jobs to the state of Michigan,

709
00:37:09,040 --> 00:37:11,759
Speaker 1: jobs that they rightfully deserve and which were taken from

710
00:37:11,760 --> 00:37:14,359
Speaker 1: them as a result of failures by our government. And

711
00:37:14,400 --> 00:37:16,960
Speaker 1: just to give you an example of how vulnerable we are,

712
00:37:17,160 --> 00:37:19,560
Speaker 1: put this next one up there, which is that some

713
00:37:19,760 --> 00:37:24,080
Speaker 1: manufactories rely on semiconductors are down to less than five

714
00:37:24,640 --> 00:37:28,600
Speaker 1: days of inventory. Five days. You know, I've told you

715
00:37:28,640 --> 00:37:31,359
Speaker 1: this before, Crystal, But there are there are stories coming

716
00:37:31,400 --> 00:37:35,160
Speaker 1: out of people who are buying new cars with empty

717
00:37:35,200 --> 00:37:38,319
Speaker 1: slots inside of them, where the dealers are promising yeah

718
00:37:38,320 --> 00:37:40,920
Speaker 1: and like a year will slot in that. You know, GPS,

719
00:37:41,120 --> 00:37:44,400
Speaker 1: I'm not buying a car like that. What kind of

720
00:37:44,480 --> 00:37:47,240
Speaker 1: madness is this? No, one of the East car market

721
00:37:47,360 --> 00:37:49,880
Speaker 1: is so hot. But that's the problem, which is we

722
00:37:49,920 --> 00:37:53,040
Speaker 1: don't have the chips GM factories speaking of union jobs,

723
00:37:53,040 --> 00:37:54,760
Speaker 1: more have had to go dark for like three weeks,

724
00:37:55,040 --> 00:37:58,160
Speaker 1: four weeks. I mean, that's can you imagine not working

725
00:37:58,160 --> 00:38:00,160
Speaker 1: for a month, what would you do? I mean, this

726
00:38:00,200 --> 00:38:01,920
Speaker 1: has got a good friend in Louisville has been in

727
00:38:01,960 --> 00:38:04,560
Speaker 1: the situation and works at the truck assembly point there,

728
00:38:04,600 --> 00:38:06,359
Speaker 1: and yeah, I mean they've just had shut down after

729
00:38:06,400 --> 00:38:09,239
Speaker 1: shutdown because this part, that part, and the biggest thing

730
00:38:09,280 --> 00:38:12,200
Speaker 1: is the chips that you know, and then that creates

731
00:38:12,239 --> 00:38:14,520
Speaker 1: tremendous uncertainty for them. In your life. I mean, it's

732
00:38:14,560 --> 00:38:16,719
Speaker 1: just total cascating. What are you going to effect not

733
00:38:16,760 --> 00:38:18,400
Speaker 1: pay rent for a month? This is madness. And so

734
00:38:18,680 --> 00:38:23,000
Speaker 1: this has cascading effects the jobs, the manufacturing. It's about

735
00:38:23,040 --> 00:38:24,920
Speaker 1: being a real country. This is what it looks like.

736
00:38:25,200 --> 00:38:27,560
Speaker 1: All the new tech companies in the world cannot solve

737
00:38:27,560 --> 00:38:30,200
Speaker 1: the fact that it's freaking hard to build cars. It's

738
00:38:30,200 --> 00:38:32,480
Speaker 1: hard to build stuff, you know, even these cameras here.

739
00:38:32,520 --> 00:38:35,440
Speaker 1: You know, we ordered our fancy computer thanks to our

740
00:38:35,480 --> 00:38:39,560
Speaker 1: premium subscribers, in order to export our show properly. That

741
00:38:39,600 --> 00:38:41,640
Speaker 1: took like two months in order to get because we

742
00:38:41,680 --> 00:38:44,399
Speaker 1: needed the highest end chips in order to in order

743
00:38:44,440 --> 00:38:47,480
Speaker 1: to process it. So, yes, even us slowly podcasters are

744
00:38:47,480 --> 00:38:51,400
Speaker 1: suffering as a result of the supply chain. Less for

745
00:38:51,480 --> 00:38:53,480
Speaker 1: us guys, that's really the point, it's like, we don't matter.

746
00:38:53,520 --> 00:38:56,080
Speaker 1: It's important, We don't even matter close to These people

747
00:38:56,360 --> 00:38:59,279
Speaker 1: really deserve it, they need it. They've been screwed over

748
00:38:59,320 --> 00:39:01,120
Speaker 1: for twenty years. We need ten times more of this.

749
00:39:01,239 --> 00:39:03,480
Speaker 1: So finally some good news that we can actually report

750
00:39:03,480 --> 00:39:06,560
Speaker 1: to you. Yeah, indeed, indeed, so we tried to not

751
00:39:06,719 --> 00:39:08,960
Speaker 1: only bring you the outrage but also the small, the

752
00:39:08,960 --> 00:39:11,520
Speaker 1: small slivers of hope that we do. See. Bingo, All right,

753
00:39:11,600 --> 00:39:14,319
Speaker 1: let's go ahead and move on Amazon Crystal. So this

754
00:39:14,400 --> 00:39:17,520
Speaker 1: is some really business. I don't even know what's going

755
00:39:17,560 --> 00:39:18,960
Speaker 1: on with this. Let's go ahead and put this up

756
00:39:19,000 --> 00:39:22,319
Speaker 1: there on the screen. Amazon is paying for a high

757
00:39:22,320 --> 00:39:28,000
Speaker 1: school course in which they are basically teaching anti union propaganda,

758
00:39:28,400 --> 00:39:32,200
Speaker 1: where they provided fifty thousand dollars in necessary materials to

759
00:39:32,239 --> 00:39:36,000
Speaker 1: start the program. Okay, fine, but they went ahead and

760
00:39:36,120 --> 00:39:42,200
Speaker 1: plastered the weird Amazon slogans around the room, including customer obsession,

761
00:39:42,560 --> 00:39:46,560
Speaker 1: bias for action, deliver results. Look. I think these are

762
00:39:46,680 --> 00:39:50,120
Speaker 1: good things, but you know not when you're a little child.

763
00:39:50,160 --> 00:39:52,480
Speaker 1: I don't really know why you need to be learning this.

764
00:39:52,760 --> 00:39:55,799
Speaker 1: I just think it's Look, it's a state failure. It's

765
00:39:55,800 --> 00:39:57,879
Speaker 1: like when we played that video here of all those

766
00:39:57,920 --> 00:40:01,839
Speaker 1: teachers who were scrambling for cats. It was so bad,

767
00:40:01,920 --> 00:40:05,840
Speaker 1: it was horrible, right, It is like that we go, yeah, hey, Amazon,

768
00:40:05,880 --> 00:40:08,200
Speaker 1: thank you and so much Amazon. It's like when the

769
00:40:08,320 --> 00:40:11,520
Speaker 1: chan Zuckerberg Initiative donated one hundred million dollars to what

770
00:40:11,680 --> 00:40:13,520
Speaker 1: was it, New Work in Schools and it turned out

771
00:40:13,520 --> 00:40:15,080
Speaker 1: they just flushed the cash down the drain and it

772
00:40:15,080 --> 00:40:18,280
Speaker 1: didn't actually do anything. It's actually a really sad story, frankly.

773
00:40:18,760 --> 00:40:21,200
Speaker 1: But this is just an emblem of how a our

774
00:40:21,239 --> 00:40:24,520
Speaker 1: public education or education system in general is totally broken.

775
00:40:24,800 --> 00:40:29,640
Speaker 1: But b I mean, why you don't want private interest, Crystal, Yeah,

776
00:40:29,680 --> 00:40:31,840
Speaker 1: engage in the education system, That's right. I mean, this

777
00:40:32,000 --> 00:40:34,879
Speaker 1: is so incredibly blatant, just to give you a sense,

778
00:40:34,880 --> 00:40:38,239
Speaker 1: because WECE got their hands on the actual like the

779
00:40:38,520 --> 00:40:43,000
Speaker 1: syllabus and the curriculum and so some of the things

780
00:40:43,000 --> 00:40:46,680
Speaker 1: that they want to teach. In an exercise about worker motivation,

781
00:40:47,360 --> 00:40:51,200
Speaker 1: one team activity prompt students to quote, brainstorm of ways

782
00:40:51,239 --> 00:40:56,239
Speaker 1: you could motivate your employees other than bonuses and high salaries.

783
00:40:57,040 --> 00:41:00,640
Speaker 1: How do we motivate these lazy workers without you know,

784
00:41:01,000 --> 00:41:03,759
Speaker 1: paying them a living wage? How do we get that accomplished?

785
00:41:03,760 --> 00:41:05,920
Speaker 1: So there's lots of things like that, you know, they

786
00:41:05,960 --> 00:41:09,600
Speaker 1: talk to they reach out to the school for comment

787
00:41:10,080 --> 00:41:12,600
Speaker 1: and they said the pathway was named after Amazon and

788
00:41:12,680 --> 00:41:16,479
Speaker 1: thanks for the company's generous donation. And Amazon was brought

789
00:41:16,520 --> 00:41:19,280
Speaker 1: on as an industry expert, something that all linked learning

790
00:41:19,320 --> 00:41:22,839
Speaker 1: pathways are expected to have. And the school principle in

791
00:41:22,920 --> 00:41:26,040
Speaker 1: the like picture announcing it is wearing an Amazon branded

792
00:41:26,040 --> 00:41:29,319
Speaker 1: polo shirt. And I don't blame the school because they're

793
00:41:29,320 --> 00:41:33,200
Speaker 1: probably financially I mean, that's the thing is Amazon's like, hey,

794
00:41:33,200 --> 00:41:35,239
Speaker 1: we'll give you fifty thousand bucks and you've got to

795
00:41:35,280 --> 00:41:38,360
Speaker 1: put our branding on the walls, and here's the curriculum

796
00:41:38,400 --> 00:41:40,800
Speaker 1: we want you to use. And they don't have cash

797
00:41:40,800 --> 00:41:44,600
Speaker 1: from you know, traditional sources like government, so they have

798
00:41:44,680 --> 00:41:46,719
Speaker 1: to they have to get it where they can. I mean,

799
00:41:46,719 --> 00:41:49,440
Speaker 1: that's why this is such a systemic failure. And then

800
00:41:49,480 --> 00:41:53,440
Speaker 1: the other situation is this town where this is happening,

801
00:41:53,680 --> 00:41:59,840
Speaker 1: in San Bernadina, Bernadino, California. Amazon is the dominant player

802
00:42:00,040 --> 00:42:02,840
Speaker 1: in terms of the jobs market locally. I mean, Amazon

803
00:42:03,000 --> 00:42:05,640
Speaker 1: just you know, is everywhere. So when a lot of

804
00:42:05,640 --> 00:42:07,800
Speaker 1: these kids graduate high school, they probably are going to

805
00:42:07,880 --> 00:42:11,799
Speaker 1: go and work for Amazon, And so you've turned the

806
00:42:11,920 --> 00:42:17,160
Speaker 1: school into just a direct pipeline to indoctrinate these kids

807
00:42:17,200 --> 00:42:20,719
Speaker 1: in the Amazon way. And I'm sure they're Yeah, I'm

808
00:42:20,760 --> 00:42:24,440
Speaker 1: sure their section on unions is going to be extraordinarily

809
00:42:24,560 --> 00:42:29,160
Speaker 1: enlightening in terms of Amazon's views towards the labor movement.

810
00:42:29,160 --> 00:42:30,799
Speaker 1: I love the part in there where they go, here's

811
00:42:30,800 --> 00:42:33,040
Speaker 1: how you negotiate with the labor union. I'm like, yeah,

812
00:42:33,120 --> 00:42:36,520
Speaker 1: let's start indoctrinating them early in how to screw over people. Yeah,

813
00:42:36,560 --> 00:42:39,440
Speaker 1: I mean they actually have them like learning Amazon's corporate

814
00:42:39,560 --> 00:42:42,640
Speaker 1: story and all this crap like that, and listen, this

815
00:42:42,760 --> 00:42:48,600
Speaker 1: is this is extraordinarily blatant, but it is not really

816
00:42:48,680 --> 00:42:53,520
Speaker 1: out of step with the history of development of education curriculum.

817
00:42:53,480 --> 00:42:55,600
Speaker 1: And I've talked here about how in West Virginia for

818
00:42:55,640 --> 00:42:58,359
Speaker 1: a long time there was an explicit law that you

819
00:42:58,400 --> 00:43:01,960
Speaker 1: could not teach labor history. There was an organized, actual

820
00:43:02,040 --> 00:43:06,040
Speaker 1: conspiracy to keep the winds and the strength of the

821
00:43:06,120 --> 00:43:09,400
Speaker 1: labor movement effectively hidden from students so that they wouldn't

822
00:43:09,480 --> 00:43:12,719
Speaker 1: understand how important the labor movement has been to the

823
00:43:12,760 --> 00:43:15,720
Speaker 1: development of this country and the development of basic worker rights.

824
00:43:16,000 --> 00:43:19,960
Speaker 1: That was explicitly kept out of curriculums both at the

825
00:43:20,000 --> 00:43:23,520
Speaker 1: state and from the federal level. So again this is

826
00:43:23,600 --> 00:43:26,960
Speaker 1: like a little extra brazen, but it actually is pretty

827
00:43:27,000 --> 00:43:29,279
Speaker 1: consistent with the way that a lot of curriculum has

828
00:43:29,280 --> 00:43:32,560
Speaker 1: been developed in this country and why students don't learn

829
00:43:32,960 --> 00:43:35,719
Speaker 1: some of the most vital history and some of the

830
00:43:35,760 --> 00:43:38,680
Speaker 1: most vital sort of lessons they could learn with regards

831
00:43:38,680 --> 00:43:42,200
Speaker 1: to empowering themselves in the workforce. Yeah, and our producer

832
00:43:42,280 --> 00:43:44,360
Speaker 1: James found this story an update to the one that

833
00:43:44,400 --> 00:43:46,320
Speaker 1: we had went ahead and shown you go ahead and

834
00:43:46,320 --> 00:43:48,319
Speaker 1: put this up there on the screen. Amazon is now

835
00:43:48,320 --> 00:43:50,640
Speaker 1: going to face a formal complaint from a labor board

836
00:43:50,760 --> 00:43:54,640
Speaker 1: over a worker firing, the NRB said Friday. An allegation

837
00:43:54,719 --> 00:43:58,640
Speaker 1: that Amazon illegally fired a worker for organizing actually had merit.

838
00:43:58,760 --> 00:44:01,240
Speaker 1: So this is one which it's really important. You almost

839
00:44:01,239 --> 00:44:04,080
Speaker 1: never see this actually happening. This is the first time

840
00:44:04,120 --> 00:44:06,920
Speaker 1: the NLRB has kind of shown some teeth here, Crystal,

841
00:44:06,960 --> 00:44:09,920
Speaker 1: because they also are ordering Amazon to redo that union

842
00:44:09,960 --> 00:44:13,800
Speaker 1: election at the warehouse in Bessemer, Alabama. So two different

843
00:44:13,840 --> 00:44:17,080
Speaker 1: times here where they've been cited now for illegally firing

844
00:44:17,120 --> 00:44:21,720
Speaker 1: somebody for organizing. At least allegedly according to the NRB.

845
00:44:22,080 --> 00:44:24,799
Speaker 1: That being said, you know, finds probably what they make

846
00:44:24,840 --> 00:44:27,439
Speaker 1: in like zero point oh one seconds. And in terms

847
00:44:27,520 --> 00:44:30,560
Speaker 1: of the actual stuff that they have against them, it's

848
00:44:30,600 --> 00:44:34,239
Speaker 1: not great, but it's still they're getting called out, they're

849
00:44:34,280 --> 00:44:37,120
Speaker 1: being shown for what they are, and they're trying desperately,

850
00:44:37,120 --> 00:44:39,120
Speaker 1: which is why I think they're doing this school initiative

851
00:44:39,239 --> 00:44:41,359
Speaker 1: to try to bolster their image for the long term

852
00:44:41,360 --> 00:44:43,600
Speaker 1: because a lot of people see them for what they're doing. Yeah,

853
00:44:43,640 --> 00:44:46,320
Speaker 1: and we had covered this story. This was de Kwan Smith,

854
00:44:46,320 --> 00:44:50,200
Speaker 1: who was an organizer with Amazon Labor Union who was

855
00:44:50,320 --> 00:44:54,840
Speaker 1: forced into homelessness after Amazon fired him by understanding he

856
00:44:54,920 --> 00:44:57,439
Speaker 1: had a new job now and he's you know, he's

857
00:44:57,440 --> 00:45:01,319
Speaker 1: doing better. But it's just out rageous the way that

858
00:45:01,360 --> 00:45:04,440
Speaker 1: they go, whether it's Christian Smalls, whether it's de Kwan Smith,

859
00:45:04,800 --> 00:45:08,440
Speaker 1: the way that they go after any worker who tries

860
00:45:08,480 --> 00:45:12,560
Speaker 1: to agitate for better conditions for themselves and for their

861
00:45:12,560 --> 00:45:15,279
Speaker 1: fellow workers. And so it's going to be interesting to

862
00:45:15,320 --> 00:45:18,279
Speaker 1: see if there's a better result this time Invessemer as

863
00:45:18,320 --> 00:45:22,760
Speaker 1: they redo that election. Overall, the landscape is so difficult though,

864
00:45:22,800 --> 00:45:26,000
Speaker 1: because workers are not crazy to think, hey, this is

865
00:45:26,040 --> 00:45:29,080
Speaker 1: a gigantic risk if I stick my neck out and

866
00:45:29,120 --> 00:45:32,279
Speaker 1: you're right, listen, is Amazon going to be chastened by

867
00:45:32,320 --> 00:45:37,359
Speaker 1: this National Labor Relations Board decision? No? I mean, they

868
00:45:37,400 --> 00:45:39,759
Speaker 1: just consider it like a cost of doing business, and

869
00:45:39,880 --> 00:45:44,080
Speaker 1: a small one at that. So the threat of having

870
00:45:44,160 --> 00:45:47,040
Speaker 1: their workers unionize so that they could actually have you know,

871
00:45:47,160 --> 00:45:49,359
Speaker 1: power and control in their own lives, in their own

872
00:45:49,400 --> 00:45:53,239
Speaker 1: workplaces is far greater to them than you know, the

873
00:45:53,280 --> 00:45:56,360
Speaker 1: threat of the NLRB coming after them for firing this

874
00:45:56,440 --> 00:45:59,360
Speaker 1: employee or that employee. At ultimately, which is said, and

875
00:45:59,400 --> 00:46:03,840
Speaker 1: which is why the landscape for labor, even though you

876
00:46:03,960 --> 00:46:07,920
Speaker 1: have near record high numbers of people supporting labor unions,

877
00:46:07,960 --> 00:46:12,360
Speaker 1: we've had strike weights that were ongoing before the pandemic

878
00:46:12,400 --> 00:46:14,960
Speaker 1: and have now picked back up in spite of the

879
00:46:15,000 --> 00:46:19,520
Speaker 1: fact that you have this surge of discontent among the

880
00:46:19,520 --> 00:46:22,520
Speaker 1: broader public and an understanding that they're getting screwed, and

881
00:46:22,600 --> 00:46:24,920
Speaker 1: an understanding that the way to do something about it

882
00:46:24,960 --> 00:46:28,680
Speaker 1: is by collectively coming together. And yet because the landscape

883
00:46:28,760 --> 00:46:32,520
Speaker 1: is so brutally rigged against them, you still end up

884
00:46:32,560 --> 00:46:35,480
Speaker 1: with lower union density. You still end up with a

885
00:46:35,560 --> 00:46:39,440
Speaker 1: labor movement that is ultimately hobbled. So listen. One of

886
00:46:39,480 --> 00:46:41,719
Speaker 1: the big reasons that I ultimately did decide to pull

887
00:46:41,719 --> 00:46:43,279
Speaker 1: the lever for Joe Biden is because I knew we

888
00:46:43,320 --> 00:46:46,040
Speaker 1: would put better people on the NLARB. But that sort

889
00:46:46,120 --> 00:46:48,839
Speaker 1: of thing only ultimately gets you so far. Yeah, that's

890
00:46:48,880 --> 00:46:51,080
Speaker 1: really really well said. Okay, let's go ahead and move on.

891
00:46:51,160 --> 00:46:53,799
Speaker 1: This is right, Yah, favorite stories go on. Neil Young

892
00:46:53,960 --> 00:46:57,400
Speaker 1: versus Joe Rogan. You may have already seen this story,

893
00:46:57,400 --> 00:47:00,279
Speaker 1: but we couldn't resist covering this one. Neil Young, let's

894
00:47:00,280 --> 00:47:02,320
Speaker 1: go aha and put Rolling Stone here up on the screen.

895
00:47:02,640 --> 00:47:05,799
Speaker 1: Wrote a letter to his management team saying I want

896
00:47:05,880 --> 00:47:09,520
Speaker 1: you to let Spotify know immediately today that I want

897
00:47:09,560 --> 00:47:13,640
Speaker 1: all my music off of their Spotify's platform. They can

898
00:47:13,680 --> 00:47:18,400
Speaker 1: have Joe Rogan or they can have Young, not both. Okay.

899
00:47:18,440 --> 00:47:23,280
Speaker 1: And he's concerned about quote false information about vaccines. Okay,

900
00:47:23,440 --> 00:47:26,239
Speaker 1: So that's stage one. Stage two is I guess he

901
00:47:26,280 --> 00:47:28,319
Speaker 1: actually pulled the letter down, so I don't know if

902
00:47:28,320 --> 00:47:31,839
Speaker 1: he this is it was very fishy. The letter disappears. Yeah,

903
00:47:31,840 --> 00:47:33,640
Speaker 1: nobody knows what's going on. Well, I don't know if

904
00:47:33,680 --> 00:47:35,799
Speaker 1: he ultimately looked at this and was like, you know,

905
00:47:36,040 --> 00:47:38,000
Speaker 1: I don't know if this is really gonna work out

906
00:47:38,040 --> 00:47:41,440
Speaker 1: for me because ultimately, I mean, Rogan's the biggest podcast

907
00:47:41,520 --> 00:47:43,640
Speaker 1: in the world. He brings in lots of revenue and

908
00:47:43,680 --> 00:47:47,759
Speaker 1: lots of new you know, listeners to Spotify's platform. He's

909
00:47:47,800 --> 00:47:50,440
Speaker 1: been he's like their flagship thing over there that they're doing,

910
00:47:50,560 --> 00:47:54,040
Speaker 1: especially with regards to podcasts. So the next phase, the

911
00:47:54,080 --> 00:47:56,319
Speaker 1: next act here Wall Street Journal, let's put this up

912
00:47:56,360 --> 00:47:59,000
Speaker 1: on the screen, is that Spotify was like, all right,

913
00:47:59,200 --> 00:48:02,319
Speaker 1: We're like, okay, cool, So we choose Joe Rogan and

914
00:48:02,400 --> 00:48:06,560
Speaker 1: we took down Neil Young's music. I mean, here's there's

915
00:48:06,600 --> 00:48:10,000
Speaker 1: a lot here that just really bothers me. First of all,

916
00:48:10,080 --> 00:48:13,319
Speaker 1: this idea that Joe Rogan is the big villain of

917
00:48:13,320 --> 00:48:17,959
Speaker 1: our time is just so insanely absurd, and I often

918
00:48:18,000 --> 00:48:20,759
Speaker 1: hear people on see people on Twitter saying basically like,

919
00:48:20,800 --> 00:48:23,160
Speaker 1: the people are most upset about Joe Rogan have probably

920
00:48:23,160 --> 00:48:26,400
Speaker 1: never listened to an entire you know, to single podcast

921
00:48:26,760 --> 00:48:30,359
Speaker 1: that he's done, because if you did, you wouldn't know that. Yeah,

922
00:48:30,480 --> 00:48:33,000
Speaker 1: sometimes he has on guests that I wish you wouldn't

923
00:48:33,000 --> 00:48:35,440
Speaker 1: have on Sometimes they go down rabbit holes that I

924
00:48:35,520 --> 00:48:37,680
Speaker 1: wish they wouldn't go down. But this man is so

925
00:48:37,800 --> 00:48:41,640
Speaker 1: open to talking to everyone. He's not some like nefarious

926
00:48:41,719 --> 00:48:46,360
Speaker 1: villain figure. He's very actually, you know, one of the best, nicest,

927
00:48:46,480 --> 00:48:49,120
Speaker 1: like most well intentioned people I've ever met, which frequently

928
00:48:49,320 --> 00:48:52,480
Speaker 1: test you personally. Yeah, and by the way, think of

929
00:48:52,600 --> 00:48:55,880
Speaker 1: all the other crap that's out there. You've got morons

930
00:48:55,880 --> 00:48:57,880
Speaker 1: out there right now trying to get us into World

931
00:48:58,000 --> 00:49:01,719
Speaker 1: War three. Okay, there people who want kids to be

932
00:49:02,840 --> 00:49:05,880
Speaker 1: kept on to school indefinitely. I mean, that's anti science,

933
00:49:05,920 --> 00:49:07,920
Speaker 1: and yet where's the outrage over that. No, I'm so

934
00:49:07,960 --> 00:49:09,759
Speaker 1: glad that you said that, Chris sol I know. That's

935
00:49:09,840 --> 00:49:13,440
Speaker 1: the thing too. I like with the Neil Young situation,

936
00:49:13,719 --> 00:49:17,759
Speaker 1: it just shows the absolute ludicrousness of the way that

937
00:49:17,800 --> 00:49:20,680
Speaker 1: they conceive of activism, right, which is that, oh, I'm

938
00:49:20,719 --> 00:49:24,560
Speaker 1: going to try weaponize like my brand, stop them and

939
00:49:24,719 --> 00:49:26,879
Speaker 1: pressure them in order to stop. With Rogan, they did

940
00:49:26,880 --> 00:49:29,600
Speaker 1: the same thing with Chappelle. I actually thought that the

941
00:49:29,640 --> 00:49:33,320
Speaker 1: CEO of Spotify, Daniel Elk, put this really well whenever

942
00:49:33,360 --> 00:49:36,719
Speaker 1: he was interviewed about this previously. He's like, yeah, look,

943
00:49:36,760 --> 00:49:38,319
Speaker 1: we have a lot of rappers. They make tens of

944
00:49:38,320 --> 00:49:41,440
Speaker 1: millions of dollars on Spotify every single year. And uh,

945
00:49:41,800 --> 00:49:43,760
Speaker 1: you know, we don't police what they have to say,

946
00:49:43,880 --> 00:49:45,919
Speaker 1: and none of you idiots seem to care whenever they're

947
00:49:45,960 --> 00:49:49,720
Speaker 1: talking about, you know, some really misogynistic, terrible stuff. I'm

948
00:49:49,800 --> 00:49:52,200
Speaker 1: for that. I'm actually for lots of people will be

949
00:49:52,239 --> 00:49:54,919
Speaker 1: able to make money basically in whichever way that they want.

950
00:49:54,960 --> 00:49:57,520
Speaker 1: It's really not up to us to tell Spotify or whomever,

951
00:49:57,600 --> 00:50:00,200
Speaker 1: especially when it's a platform that this or that is

952
00:50:00,239 --> 00:50:02,799
Speaker 1: not acceptable. And to you know, this is the same thing,

953
00:50:02,960 --> 00:50:05,440
Speaker 1: which is that whenever it comes to discussions like the

954
00:50:05,440 --> 00:50:07,000
Speaker 1: one I'm going to be talking about in my monologue

955
00:50:07,000 --> 00:50:10,560
Speaker 1: about schools and mass and about children and absolute risk,

956
00:50:10,960 --> 00:50:14,080
Speaker 1: where is the you know, boycott of CNN by other

957
00:50:14,280 --> 00:50:16,840
Speaker 1: by Neil Young or whomever who would be appear in

958
00:50:16,880 --> 00:50:20,360
Speaker 1: some CNN original series I'm sure for future CNN plus

959
00:50:20,680 --> 00:50:24,759
Speaker 1: about the misinformation that they're spewing. It only targets one

960
00:50:24,880 --> 00:50:26,759
Speaker 1: a lot of people who want us to dance on

961
00:50:26,800 --> 00:50:29,040
Speaker 1: the graves of people who died of COVID after not

962
00:50:29,080 --> 00:50:31,360
Speaker 1: getting the vaccine. How about those people? I mean, I

963
00:50:31,480 --> 00:50:34,720
Speaker 1: just I think it's so insane the way that people

964
00:50:34,719 --> 00:50:38,400
Speaker 1: have fixated on this one thing that they're upset about,

965
00:50:38,440 --> 00:50:41,440
Speaker 1: and look I don't like it either. The anti vaxx

966
00:50:41,480 --> 00:50:44,000
Speaker 1: people that are out there, the people who are cherry

967
00:50:44,000 --> 00:50:47,000
Speaker 1: picking data and who are snake oil salesman. I've got

968
00:50:47,000 --> 00:50:49,080
Speaker 1: a big issue with that as well. But guess what,

969
00:50:49,400 --> 00:50:51,919
Speaker 1: there's a lot of cranks. There's a lot of bad

970
00:50:52,000 --> 00:50:55,520
Speaker 1: information out there. There's a lot of dangerous information out there.

971
00:50:55,680 --> 00:50:58,120
Speaker 1: Our friend Zeed Jelani had a great post about how

972
00:50:58,160 --> 00:51:01,279
Speaker 1: sad it is that Neil Young, youth to be you know,

973
00:51:01,520 --> 00:51:05,400
Speaker 1: counterculture figure, you know, wrote a song about Kent State

974
00:51:05,560 --> 00:51:08,520
Speaker 1: for example. Something Zed points out. And actually during the

975
00:51:08,560 --> 00:51:13,440
Speaker 1: Bush administration went on this free speech tour because remember

976
00:51:13,480 --> 00:51:16,640
Speaker 1: the lingo and the sort of like jingoism at the

977
00:51:16,680 --> 00:51:20,000
Speaker 1: time was oh, you can't criticize the president, and so

978
00:51:20,160 --> 00:51:24,279
Speaker 1: he was aggressive and saying no, it's patriotic to criticize it,

979
00:51:24,480 --> 00:51:26,400
Speaker 1: and good for him, that was the right stance to

980
00:51:26,480 --> 00:51:28,759
Speaker 1: ultimately take. And z that also points out, you know,

981
00:51:29,120 --> 00:51:30,880
Speaker 1: after nine to eleven, there are a whole there's a

982
00:51:30,880 --> 00:51:33,680
Speaker 1: whole nine to eleven truth of thing. Plenty of people

983
00:51:33,680 --> 00:51:37,280
Speaker 1: that I know dabbled in and that wasn't People thought

984
00:51:37,360 --> 00:51:40,440
Speaker 1: that it was not good that there was so much conspiracy,

985
00:51:40,480 --> 00:51:44,080
Speaker 1: theorizing around it. But there was no movement to say

986
00:51:44,120 --> 00:51:47,160
Speaker 1: you can't have these videos, you can't have this documentary,

987
00:51:47,200 --> 00:51:50,640
Speaker 1: you can't have this conversation. There wasn't that instinct towards

988
00:51:50,640 --> 00:51:54,320
Speaker 1: censorship that now there is. And again, it's so selective,

989
00:51:54,360 --> 00:51:57,120
Speaker 1: and I think it's so convenient for people in power

990
00:51:57,200 --> 00:51:59,799
Speaker 1: to pick Joe Rogan out like he's the problem, like

991
00:51:59,840 --> 00:52:02,520
Speaker 1: he's the villain. No, look at yourself, look at your

992
00:52:02,560 --> 00:52:04,719
Speaker 1: own failings. You all are the villains here. Don't try

993
00:52:04,719 --> 00:52:06,319
Speaker 1: to pawn it off on Joe. Say. Remember, you know

994
00:52:06,360 --> 00:52:08,880
Speaker 1: the Surgeon General recently came out and said that The

995
00:52:08,920 --> 00:52:12,360
Speaker 1: Surgeon General said Joe basically suggested that Joe Rogan should

996
00:52:12,360 --> 00:52:15,360
Speaker 1: be censored for misinformation. And you know Ryan tweeted this,

997
00:52:15,520 --> 00:52:18,120
Speaker 1: why don't you go on the show? Uh, doctor Moore,

998
00:52:18,120 --> 00:52:21,480
Speaker 1: I think that's how you're doctor Morthy. Go ahead, you go,

999
00:52:21,680 --> 00:52:24,319
Speaker 1: General Morthy, whatever, go on the show. If you have

1000
00:52:24,600 --> 00:52:27,600
Speaker 1: such a big message. There's eleven million people who watch

1001
00:52:27,640 --> 00:52:31,040
Speaker 1: per episode, you are welcome to go and defend yourself. There.

1002
00:52:31,360 --> 00:52:34,040
Speaker 1: You've seen Joe interview these people. The Surgeon General will

1003
00:52:34,080 --> 00:52:35,799
Speaker 1: make a claim. He'd be like, hey, Jamie, go ahead

1004
00:52:35,840 --> 00:52:37,920
Speaker 1: and look that up. The Surgeon General could prepare a

1005
00:52:38,000 --> 00:52:39,799
Speaker 1: slide deck. I'm sure that Joe and them would be

1006
00:52:39,800 --> 00:52:42,120
Speaker 1: welcome to do it all of that, but these people

1007
00:52:42,160 --> 00:52:44,920
Speaker 1: are so arrogant that they just reach for the censorship

1008
00:52:44,960 --> 00:52:46,879
Speaker 1: button every time. So, as you point to, they never

1009
00:52:46,920 --> 00:52:49,120
Speaker 1: asked for the censorship of censorship of stuff, which is

1010
00:52:49,160 --> 00:52:53,120
Speaker 1: really really dangerous. They also it's very selective and then

1011
00:52:53,160 --> 00:52:55,440
Speaker 1: be it's just a lack of the lack of the

1012
00:52:55,480 --> 00:52:58,680
Speaker 1: ability and the faith in order to engage somebody on

1013
00:52:58,719 --> 00:53:01,600
Speaker 1: their own terms. And we're not happy with those Doctor

1014
00:53:01,600 --> 00:53:04,480
Speaker 1: Malone or doctor Peter mccullaughy interviews. And so what happened

1015
00:53:04,600 --> 00:53:07,759
Speaker 1: We had on doctor We had on doctor vin Aprisod

1016
00:53:08,120 --> 00:53:10,600
Speaker 1: on this show who wrote a three thousand word piece

1017
00:53:10,600 --> 00:53:12,879
Speaker 1: and we went by it claim by claim by claim,

1018
00:53:12,920 --> 00:53:15,600
Speaker 1: and by the way, I sent that piece to Joe

1019
00:53:15,880 --> 00:53:18,080
Speaker 1: even though it was critical of his podcast, and he

1020
00:53:18,120 --> 00:53:21,680
Speaker 1: tweeted it out. Okay, he tweeted out that piece about

1021
00:53:21,719 --> 00:53:25,319
Speaker 1: what that doctor van Aprisod, which wrote specific criticisms of

1022
00:53:25,440 --> 00:53:28,640
Speaker 1: his own podcast. So you know, it's not hard. This

1023
00:53:28,680 --> 00:53:31,520
Speaker 1: is a very simple thing that you're able to do.

1024
00:53:31,640 --> 00:53:35,480
Speaker 1: And you know, watching this just terrible campaign against them.

1025
00:53:35,760 --> 00:53:38,399
Speaker 1: But props to Spotify. But I gotta be honest. I mean,

1026
00:53:38,520 --> 00:53:40,680
Speaker 1: you know it doesn't it only takes one for the

1027
00:53:40,760 --> 00:53:43,759
Speaker 1: damn to break soon it could be you can't give

1028
00:53:43,800 --> 00:53:46,880
Speaker 1: an inch. I hope they don't. That's what ultimately to

1029
00:53:46,880 --> 00:53:49,759
Speaker 1: do Swift or somebody when they get a when you know,

1030
00:53:49,960 --> 00:53:52,480
Speaker 1: when when they see that their tactic works, that's what

1031
00:53:52,600 --> 00:53:55,520
Speaker 1: emboldens them. You can't give an inch and not. The

1032
00:53:55,600 --> 00:53:59,200
Speaker 1: other piece is like, again we've talked about those episodes

1033
00:53:59,200 --> 00:54:02,879
Speaker 1: with Malone and we had on Doctor Pisad, but it's

1034
00:54:02,920 --> 00:54:05,399
Speaker 1: also very selective. I mean, this is the other thing.

1035
00:54:05,440 --> 00:54:08,919
Speaker 1: It's like something we've talked about here. The right loves

1036
00:54:08,920 --> 00:54:11,200
Speaker 1: to claim Joe because they see his cultural power, and

1037
00:54:11,239 --> 00:54:14,160
Speaker 1: so anytime he says something they agree with, they amplify it.

1038
00:54:14,320 --> 00:54:17,680
Speaker 1: That's right. The left wants to pick out those same

1039
00:54:17,760 --> 00:54:20,640
Speaker 1: things to distance themselves from him, and it just creates

1040
00:54:20,640 --> 00:54:24,920
Speaker 1: this very skewed impression of who he actually is. The

1041
00:54:25,080 --> 00:54:26,960
Speaker 1: range of guests that he has on. I mean, if

1042
00:54:27,000 --> 00:54:29,000
Speaker 1: you were to watch the news media, you would only

1043
00:54:29,040 --> 00:54:32,600
Speaker 1: think you would think every episode was basically like anti

1044
00:54:32,680 --> 00:54:36,719
Speaker 1: vaxed cranks, just with false claim after false claim after

1045
00:54:36,760 --> 00:54:40,680
Speaker 1: false and that's just not reality, the man will talk

1046
00:54:40,719 --> 00:54:43,759
Speaker 1: to anyone across the political's back droves to him. On

1047
00:54:43,800 --> 00:54:45,759
Speaker 1: my drive in this morning, he was talking to some

1048
00:54:45,920 --> 00:54:48,359
Speaker 1: lady who is a lawyer and does spearfishing, and they

1049
00:54:48,360 --> 00:54:50,799
Speaker 1: were like both crying about the first time that they

1050
00:54:50,880 --> 00:54:53,719
Speaker 1: killed a white tail deer. Okay, that's what the Joe

1051
00:54:53,840 --> 00:54:59,759
Speaker 1: Rogan experience actually is. That group needs to be censored exactly.

1052
00:55:00,120 --> 00:55:02,600
Speaker 1: He's like emotionally telling the story of the first time

1053
00:55:02,840 --> 00:55:05,040
Speaker 1: that he had to kill a deer. Or you know,

1054
00:55:05,120 --> 00:55:08,160
Speaker 1: I mean obviously the comedians, many of whom I've loved

1055
00:55:08,360 --> 00:55:10,880
Speaker 1: and who have been introduced to the fitness you know,

1056
00:55:10,960 --> 00:55:15,040
Speaker 1: podcasts or whatever that guy recently had on knees overtes. Yeah,

1057
00:55:15,040 --> 00:55:18,480
Speaker 1: this is real dangerous information, teaching old people or young

1058
00:55:18,520 --> 00:55:20,839
Speaker 1: people like me who have knee problems to go and

1059
00:55:20,880 --> 00:55:23,480
Speaker 1: follow a guy on Instagram to learn how to do

1060
00:55:23,560 --> 00:55:26,920
Speaker 1: some exercises in order to heal your legs. Actually listen

1061
00:55:26,960 --> 00:55:29,000
Speaker 1: to the man before you know all of this stuff.

1062
00:55:29,040 --> 00:55:32,120
Speaker 1: But I gotta say I'm worried. Props of Spotify. Ye

1063
00:55:32,280 --> 00:55:34,080
Speaker 1: standing up. But you know, the next one could be

1064
00:55:34,120 --> 00:55:36,719
Speaker 1: a Taylor Swift. The next one could be I don't know,

1065
00:55:36,840 --> 00:55:40,319
Speaker 1: the chainsmokers or whatever, some brand that gets billions of

1066
00:55:40,400 --> 00:55:42,480
Speaker 1: views on Spotify, and then when it comes to that,

1067
00:55:42,880 --> 00:55:45,400
Speaker 1: I don't know how tough these people stand. Props to

1068
00:55:45,480 --> 00:55:48,200
Speaker 1: Daniel Elk on this one. I hope that he's beine.

1069
00:55:48,360 --> 00:55:51,480
Speaker 1: I was strong with the whole like yeah, I mean

1070
00:55:51,480 --> 00:55:55,520
Speaker 1: the initial backlash against Rogan on the Plaza coming from within,

1071
00:55:55,840 --> 00:55:58,319
Speaker 1: totally dismiss that as well. I mean, listen, here's what

1072
00:55:58,400 --> 00:56:00,799
Speaker 1: I'll say. Joe's not perfect, done, us are, But if

1073
00:56:00,800 --> 00:56:05,560
Speaker 1: the country was more followed Joe Rogan's cues towards listening,

1074
00:56:05,800 --> 00:56:11,800
Speaker 1: engaging debate, long nuanced conversations versus you know, the Twitter

1075
00:56:11,840 --> 00:56:15,799
Speaker 1: conversation or the CNNMSNBC, Fox News conversation, we'd be in

1076
00:56:15,800 --> 00:56:20,480
Speaker 1: a lot better place. That's really well said. All right, Sager,

1077
00:56:20,480 --> 00:56:22,600
Speaker 1: what are you looking at? Well? As Barry Weiss is

1078
00:56:22,600 --> 00:56:26,520
Speaker 1: apparently so controversial for saying an entire generation of young

1079
00:56:26,520 --> 00:56:30,000
Speaker 1: people will remember the ridiculous COVID restrictions we've seen over

1080
00:56:30,000 --> 00:56:33,200
Speaker 1: the last two years as a catastrophic moral crime. From

1081
00:56:33,320 --> 00:56:36,360
Speaker 1: decreased development and young children to the robbing of college

1082
00:56:36,400 --> 00:56:39,319
Speaker 1: students and young entry level professionals who have had some

1083
00:56:39,400 --> 00:56:42,279
Speaker 1: of the most important years of their lives taken away

1084
00:56:42,280 --> 00:56:45,719
Speaker 1: from them, and yet I still get messages every day

1085
00:56:45,719 --> 00:56:49,080
Speaker 1: from parents. But Sager, we simply don't know. You can't

1086
00:56:49,120 --> 00:56:52,160
Speaker 1: understand because you're not a parent, you're a heartless child killer.

1087
00:56:52,360 --> 00:56:55,440
Speaker 1: Perhaps it's true that I cannot empathize fully because I

1088
00:56:55,480 --> 00:56:57,440
Speaker 1: don't have kids, but I can at least try to

1089
00:56:57,480 --> 00:57:01,480
Speaker 1: convince you the championing restrictive policy for children is bad

1090
00:57:01,840 --> 00:57:04,919
Speaker 1: and not based upon my personal experience, but based upon

1091
00:57:05,080 --> 00:57:08,319
Speaker 1: actual data. Sometimes it takes a more neutral party to

1092
00:57:08,360 --> 00:57:11,120
Speaker 1: take the emotion out and to deliver a level headed case.

1093
00:57:11,280 --> 00:57:14,400
Speaker 1: So here we go on the force point is mortality.

1094
00:57:14,760 --> 00:57:17,040
Speaker 1: Every other day you see some story like this that

1095
00:57:17,080 --> 00:57:20,200
Speaker 1: goes viral about a kid who died of COVID. This

1096
00:57:20,480 --> 00:57:24,920
Speaker 1: is terribly tragic, and as usual, though it's almost certainly

1097
00:57:24,920 --> 00:57:27,240
Speaker 1: more to the story. Take this heart wrenching one from

1098
00:57:27,280 --> 00:57:29,160
Speaker 1: the Salt Lake Tribune about the last words of a

1099
00:57:29,160 --> 00:57:32,360
Speaker 1: three year old who died on a ventilator. That is horrific,

1100
00:57:32,680 --> 00:57:35,520
Speaker 1: But the headline is that COVID isn't so mild for kids.

1101
00:57:35,800 --> 00:57:38,640
Speaker 1: And yet in the very same story they tell you

1102
00:57:38,760 --> 00:57:43,120
Speaker 1: right there that the child who died also had asthma, pneumonia,

1103
00:57:43,360 --> 00:57:47,919
Speaker 1: and quote other illnesses. In other words, this child was very,

1104
00:57:48,120 --> 00:57:51,720
Speaker 1: very very ill and like almost everyone who dies from COVID,

1105
00:57:51,840 --> 00:57:55,160
Speaker 1: there were many, many other factors at play. Furthermore, a

1106
00:57:55,200 --> 00:57:58,600
Speaker 1: single story like that doesn't tell parents all of anything.

1107
00:57:58,880 --> 00:58:01,400
Speaker 1: What is the actual res of dying from COVID for

1108
00:58:01,560 --> 00:58:04,600
Speaker 1: my child? The media doesn't tell you that. Luckily, doctor

1109
00:58:04,600 --> 00:58:07,480
Speaker 1: Peter Atia actually crunched the numbers because the media is

1110
00:58:07,520 --> 00:58:10,520
Speaker 1: refusing to do so, and the results will literally shock you.

1111
00:58:10,560 --> 00:58:13,200
Speaker 1: Put this up there on the screen. This chart shows

1112
00:58:13,240 --> 00:58:16,160
Speaker 1: the US death rate for age groups under thirty five

1113
00:58:16,400 --> 00:58:19,640
Speaker 1: as a multiple of the COVID death rate. Okay, so

1114
00:58:19,760 --> 00:58:23,320
Speaker 1: for children's ages zero to five, they are eleven times

1115
00:58:23,360 --> 00:58:26,280
Speaker 1: more likely to die in a car accident, nine point

1116
00:58:26,320 --> 00:58:29,720
Speaker 1: five times more likely to die of homicide, twelve times

1117
00:58:29,760 --> 00:58:32,760
Speaker 1: more likely to die from drowning. For ages five to

1118
00:58:32,800 --> 00:58:35,760
Speaker 1: fourteen years, these children are ten point five times more

1119
00:58:35,800 --> 00:58:38,320
Speaker 1: likely to die of a car accident, six point five

1120
00:58:38,320 --> 00:58:41,200
Speaker 1: times more likely to die of suicide, five times more

1121
00:58:41,320 --> 00:58:44,360
Speaker 1: likely to die of homicide. Do you guys get the idea?

1122
00:58:44,760 --> 00:58:47,400
Speaker 1: Childhood drowning is far more of a problem right now

1123
00:58:47,440 --> 00:58:50,160
Speaker 1: than children dying of COVID. We would actually be better

1124
00:58:50,160 --> 00:58:52,280
Speaker 1: off putting all of our current energy and school around

1125
00:58:52,320 --> 00:58:55,800
Speaker 1: school closures in masks into lifeguards and teaching kids how

1126
00:58:55,840 --> 00:58:58,200
Speaker 1: to swim. It would actually protect more children and save

1127
00:58:58,240 --> 00:59:01,840
Speaker 1: more lives. So is that is on the absolute risk side.

1128
00:59:01,880 --> 00:59:04,240
Speaker 1: But what else should we consider? Of course, the top

1129
00:59:04,240 --> 00:59:07,200
Speaker 1: responsibility of a society is to care and nurture its

1130
00:59:07,240 --> 00:59:09,760
Speaker 1: young for the future. How is nurturing going in the

1131
00:59:09,760 --> 00:59:13,600
Speaker 1: COVID era? As I have previously alluded to, it's a catastrophe.

1132
00:59:13,760 --> 00:59:16,880
Speaker 1: Infants born during the pandemic score lower on average on

1133
00:59:17,000 --> 00:59:20,800
Speaker 1: tests of gross motor, fine motor, and communication skills compared

1134
00:59:20,800 --> 00:59:23,120
Speaker 1: with those who were born before it. It didn't matter

1135
00:59:23,160 --> 00:59:25,880
Speaker 1: whether the parent was infected with COVID or not. In

1136
00:59:25,920 --> 00:59:29,360
Speaker 1: other words, it is a result of the pandemic environment

1137
00:59:29,640 --> 00:59:34,840
Speaker 1: and restrictions themselves. Furthermore, when looking at infants neurodevelopmental scores,

1138
00:59:34,880 --> 00:59:37,080
Speaker 1: it actually gets way worse. Go ahead and look at

1139
00:59:37,080 --> 00:59:42,520
Speaker 1: this chart. Pandemic born babies scored two standard deviations lower

1140
00:59:42,720 --> 00:59:45,240
Speaker 1: than those who were born before the pandemic on a

1141
00:59:45,280 --> 00:59:48,240
Speaker 1: suite of tests that measured development in a similar way

1142
00:59:48,320 --> 00:59:53,880
Speaker 1: to IQ tests. Two standard deviations is a catastrophe in

1143
00:59:53,920 --> 00:59:57,000
Speaker 1: science when you were talking about something as vital as

1144
00:59:57,160 --> 01:00:01,560
Speaker 1: infant neurodevelopment. In fact, any schools of thought believe that

1145
01:00:01,600 --> 01:00:04,040
Speaker 1: some of the first years of life are the most

1146
01:00:04,080 --> 01:00:08,240
Speaker 1: critical for forming relationships, setting the foundation of human interaction,

1147
01:00:08,440 --> 01:00:10,520
Speaker 1: for how you interact with the world and think about

1148
01:00:10,520 --> 01:00:12,600
Speaker 1: it for the rest of your life. The researcher who

1149
01:00:12,640 --> 01:00:15,360
Speaker 1: made that discovery believes that the number one cause of

1150
01:00:15,360 --> 01:00:18,600
Speaker 1: this level in developmental IQ and cognition is a drop

1151
01:00:18,680 --> 01:00:21,920
Speaker 1: in human to human interaction amongst children. On the motor

1152
01:00:21,960 --> 01:00:25,920
Speaker 1: skill side, the explanation is also obvious. A large portion

1153
01:00:26,000 --> 01:00:29,160
Speaker 1: of motor skill development for kids is developed through play

1154
01:00:29,360 --> 01:00:33,160
Speaker 1: in public on the playground, finding out what hurts, what doesn't,

1155
01:00:33,200 --> 01:00:35,880
Speaker 1: chasing after one another, and guess what is not happening

1156
01:00:35,960 --> 01:00:39,520
Speaker 1: during COVID restrictions, all of that. Furthermore, if I have

1157
01:00:39,640 --> 01:00:42,360
Speaker 1: not convinced you, let yet, let me make this case too.

1158
01:00:42,600 --> 01:00:44,640
Speaker 1: The number one thing I hear as a defense of

1159
01:00:44,720 --> 01:00:48,280
Speaker 1: all of this is it's okay kids are resilient. Well.

1160
01:00:48,400 --> 01:00:50,560
Speaker 1: Mary Catherine Ham put this very well in The Atlantic,

1161
01:00:51,080 --> 01:00:54,280
Speaker 1: where she writes, quote, It's not a kid's job to

1162
01:00:54,360 --> 01:00:58,080
Speaker 1: be resilient, It's a parent's job. To be resilient for them,

1163
01:00:58,360 --> 01:01:01,960
Speaker 1: to spare them from our years and worries. The longer

1164
01:01:02,000 --> 01:01:05,400
Speaker 1: we abdicate, the longer, the more damage we do. David

1165
01:01:05,440 --> 01:01:08,000
Speaker 1: Leonhardt also expanded on this in the New York Times.

1166
01:01:08,040 --> 01:01:11,920
Speaker 1: In effect, childhood masking and children restrictions are inflicting more

1167
01:01:12,000 --> 01:01:15,560
Speaker 1: harm to children in exchange for less harm to adults.

1168
01:01:15,960 --> 01:01:18,680
Speaker 1: That is the longest short of it all. Institutionalized in

1169
01:01:18,720 --> 01:01:22,440
Speaker 1: sanity continues to be weaponized by adults against kids. Take

1170
01:01:22,480 --> 01:01:25,240
Speaker 1: care in the DMB area where in Northern Virginia parents

1171
01:01:25,280 --> 01:01:27,880
Speaker 1: are sending their kids to school without mass as is

1172
01:01:27,920 --> 01:01:30,320
Speaker 1: their right per the governor's new executive order, and the

1173
01:01:30,360 --> 01:01:33,240
Speaker 1: school district is placing them in a form of detention

1174
01:01:33,560 --> 01:01:36,080
Speaker 1: for doing so. Take a listen. On Monday, these high

1175
01:01:36,120 --> 01:01:39,400
Speaker 1: school students went into school maskless, and they were sent

1176
01:01:39,480 --> 01:01:43,280
Speaker 1: to the auditorium with other maskless students. Several students and

1177
01:01:43,320 --> 01:01:45,840
Speaker 1: their parents told seven News they were bored and weren't

1178
01:01:45,880 --> 01:01:48,439
Speaker 1: given enough lessons or homework to fill the school day.

1179
01:01:48,680 --> 01:01:52,120
Speaker 1: Placing children basically in isolation and detention because their parents

1180
01:01:52,200 --> 01:01:54,479
Speaker 1: don't want them to wear masks. That is the same

1181
01:01:54,520 --> 01:01:57,680
Speaker 1: thing happening in New York State where chaos has engulfed

1182
01:01:57,760 --> 01:02:00,680
Speaker 1: children After a New York State judge struck down the

1183
01:02:00,680 --> 01:02:03,840
Speaker 1: governor's mass mandate for schools and public locations. That mass

1184
01:02:03,840 --> 01:02:07,240
Speaker 1: mandate was quickly put back in for effect after a

1185
01:02:07,320 --> 01:02:09,920
Speaker 1: judge granted a stay, but in the interim, parents who

1186
01:02:09,960 --> 01:02:12,080
Speaker 1: were very excited to send their kids to school without

1187
01:02:12,120 --> 01:02:14,800
Speaker 1: mass did so. What did the schools do? They were

1188
01:02:14,840 --> 01:02:17,560
Speaker 1: being met? The children were met with cruelty, despite no

1189
01:02:17,680 --> 01:02:20,320
Speaker 1: mask mandate legally not being the case for twenty four hours.

1190
01:02:20,400 --> 01:02:23,280
Speaker 1: Schools literally turned away kids whose parents sent them there

1191
01:02:23,320 --> 01:02:27,160
Speaker 1: with mass. Other schools reportedly placed kids in some sort

1192
01:02:27,200 --> 01:02:30,520
Speaker 1: of holding room like convicts. Look, if you still don't

1193
01:02:30,520 --> 01:02:33,400
Speaker 1: believe me, fine, go ahead strap an N ninety five

1194
01:02:33,400 --> 01:02:35,000
Speaker 1: to your kid's face for the rest of your life,

1195
01:02:35,120 --> 01:02:38,480
Speaker 1: but do not inflict this madness and cruelty upon others.

1196
01:02:38,760 --> 01:02:41,720
Speaker 1: The moral crime of this new century will be reckoned

1197
01:02:41,760 --> 01:02:45,000
Speaker 1: with for years. Already. Speech pathologists say they are seeing

1198
01:02:45,040 --> 01:02:47,480
Speaker 1: an increase in cases of kids who have not learned

1199
01:02:47,480 --> 01:02:50,720
Speaker 1: to speak properly throughout the pandemic because of masking. Childs

1200
01:02:50,720 --> 01:02:53,600
Speaker 1: with psychologists are going to reckon with these effects for years,

1201
01:02:53,800 --> 01:02:57,439
Speaker 1: perhaps in entire generation will live their lives with psychological

1202
01:02:57,440 --> 01:03:00,640
Speaker 1: and physical scars, as many did from the grade. And

1203
01:03:00,680 --> 01:03:02,800
Speaker 1: I would say, I hope they forgive us, but they

1204
01:03:02,800 --> 01:03:06,200
Speaker 1: should not, because at this point we know enough to stop,

1205
01:03:06,360 --> 01:03:08,880
Speaker 1: and we simply won't the misery and the cruelty. At

1206
01:03:08,880 --> 01:03:11,720
Speaker 1: this point, they are all up to us to stand

1207
01:03:11,720 --> 01:03:14,360
Speaker 1: against it. I mean, look, Crystal, you look at that chart.

1208
01:03:14,600 --> 01:03:17,240
Speaker 1: It's clear as day. And if you want to hear

1209
01:03:17,480 --> 01:03:21,000
Speaker 1: my reaction to Sager's monologue, become a premium subscriber today

1210
01:03:21,080 --> 01:03:25,840
Speaker 1: at Breakingpoints dot Com. All right, Christal, what are you

1211
01:03:25,840 --> 01:03:27,840
Speaker 1: taking a look at? Well, guys, we track a lot

1212
01:03:27,880 --> 01:03:31,400
Speaker 1: of COVID outrages here on this show, discussing posturing of

1213
01:03:31,400 --> 01:03:33,800
Speaker 1: pundits who fake like they oppose Big Farman order to

1214
01:03:33,840 --> 01:03:37,040
Speaker 1: get anti vax clicks, but then are completely unwilling to

1215
01:03:37,080 --> 01:03:39,400
Speaker 1: do a single damn thing that would actually challenge farm

1216
01:03:39,480 --> 01:03:42,320
Speaker 1: of power. We've tracked liberals dancing on the graves of

1217
01:03:42,360 --> 01:03:45,160
Speaker 1: people who die from COVID because they wouldn't get vaccinated.

1218
01:03:45,240 --> 01:03:48,240
Speaker 1: We've tracked lying public health officials like doctor Fauci. We're

1219
01:03:48,240 --> 01:03:51,400
Speaker 1: more interested in manipulating the public and preserving their own

1220
01:03:51,400 --> 01:03:55,000
Speaker 1: careers than in actually telling the truth. But we must

1221
01:03:55,280 --> 01:03:58,480
Speaker 1: never lose sight of what is by far the greatest

1222
01:03:58,520 --> 01:04:02,320
Speaker 1: COVID crime that has been admitted. This real world conspiracy

1223
01:04:02,480 --> 01:04:07,360
Speaker 1: implicates Joe Biden, big pharma billionaire Bill Gates. That is

1224
01:04:07,400 --> 01:04:11,200
Speaker 1: the decision to allow pharmaceutical giants to deny life saving

1225
01:04:11,320 --> 01:04:14,760
Speaker 1: vaccines to the poor world. If you watch the show,

1226
01:04:14,840 --> 01:04:17,200
Speaker 1: you pretty much know the story. The beginning of the pandemic,

1227
01:04:17,240 --> 01:04:19,840
Speaker 1: everyone was all, it's a World War II style mobilization,

1228
01:04:19,920 --> 01:04:23,400
Speaker 1: We're all in it together. But after public funding helped

1229
01:04:23,440 --> 01:04:27,760
Speaker 1: produce life saving vaccines, suddenly in the message flipped. Now

1230
01:04:27,920 --> 01:04:31,800
Speaker 1: Maderna and Pfizer are using their socially developed medicines to

1231
01:04:31,840 --> 01:04:36,200
Speaker 1: produce record breaking private profits by reserving these vaccines for

1232
01:04:36,240 --> 01:04:39,160
Speaker 1: the rich world, where governments can afford a premium charge.

1233
01:04:39,440 --> 01:04:43,280
Speaker 1: They have held tight to their patent protections, preventing drug

1234
01:04:43,320 --> 01:04:46,640
Speaker 1: factories around the world from churning out their own, less

1235
01:04:46,640 --> 01:04:51,240
Speaker 1: expensive doses. Bill Gates provided cover to do this. He designed, spearheaded,

1236
01:04:51,240 --> 01:04:54,160
Speaker 1: and propped up the UN's COVAX program, which was supposed

1237
01:04:54,160 --> 01:04:57,080
Speaker 1: to purchase and distribute doses to the global South. This

1238
01:04:57,200 --> 01:05:01,720
Speaker 1: program has been a dramatic failure. Lfrica's vaccination rate today

1239
01:05:02,000 --> 01:05:05,600
Speaker 1: stands at around seven percent. Joe Biden is the one

1240
01:05:05,640 --> 01:05:08,000
Speaker 1: person really in a position to try to bring these

1241
01:05:08,040 --> 01:05:12,800
Speaker 1: pharmagiants to heal. Instead, his administration has actively blocked a

1242
01:05:12,880 --> 01:05:16,600
Speaker 1: World Trade Organization proposal to do exactly that. It is

1243
01:05:16,720 --> 01:05:20,400
Speaker 1: a crime, and it is a disgrace all the way around,

1244
01:05:21,000 --> 01:05:25,120
Speaker 1: and now an unlikely country is exposing the shameful behavior

1245
01:05:25,160 --> 01:05:28,080
Speaker 1: of the US government with regards to vaccinating the world.

1246
01:05:28,600 --> 01:05:32,240
Speaker 1: Cuba has been suffering under a US embargo for decades

1247
01:05:32,240 --> 01:05:34,680
Speaker 1: that has crippled their economy, made life very difficult for

1248
01:05:34,800 --> 01:05:37,600
Speaker 1: ordinary citizens, and sought to isolate that island nation from

1249
01:05:37,640 --> 01:05:40,720
Speaker 1: the rest of the world. In spite of this, Cuba

1250
01:05:40,760 --> 01:05:46,040
Speaker 1: has successfully developed multiple highly effective COVID vaccines of their own.

1251
01:05:46,040 --> 01:05:49,800
Speaker 1: That's pretty incredible. In fact, the Cuban biotech sector has

1252
01:05:49,840 --> 01:05:53,120
Speaker 1: produced five different COVID vaccines and according to them, after

1253
01:05:53,200 --> 01:05:56,640
Speaker 1: three doses, their vaccines are better than ninety percent effective

1254
01:05:56,760 --> 01:06:00,800
Speaker 1: at preventing symptomatic COVID. So anti VACI listen, if you

1255
01:06:00,800 --> 01:06:03,080
Speaker 1: hate big pharma and you don't trust them, go get

1256
01:06:03,120 --> 01:06:06,520
Speaker 1: the Cuban Jab. It is totally free of greedy corporate influence.

1257
01:06:06,720 --> 01:06:10,160
Speaker 1: But I digress. They have also basically succeeded in vaccinating

1258
01:06:10,200 --> 01:06:13,280
Speaker 1: their entire population. More than ninety three percent of the

1259
01:06:13,280 --> 01:06:17,200
Speaker 1: Cuban population, including kids, is fully or partially partially vaccinated.

1260
01:06:17,440 --> 01:06:19,680
Speaker 1: That's one of the highest rates in the entire world,

1261
01:06:19,720 --> 01:06:22,400
Speaker 1: and it's due to variety of factors. First, they had

1262
01:06:22,400 --> 01:06:24,520
Speaker 1: to know how to develop their own vaccines and not

1263
01:06:24,600 --> 01:06:28,200
Speaker 1: rely on anyone else, especially not us. Second, the public

1264
01:06:28,240 --> 01:06:31,400
Speaker 1: health system has outposts in virtually every community, making it

1265
01:06:31,480 --> 01:06:35,400
Speaker 1: accessible and making it trusted. In fact, Cuba has more

1266
01:06:35,440 --> 01:06:38,120
Speaker 1: doctors per capita than any other country in the world.

1267
01:06:38,200 --> 01:06:41,200
Speaker 1: And finally, probably because of that trust and the lack

1268
01:06:41,240 --> 01:06:43,880
Speaker 1: of a profit motive to undermine that trust, Cuba does

1269
01:06:43,920 --> 01:06:46,920
Speaker 1: not have much vaccine hesitancy. But it is not just

1270
01:06:46,960 --> 01:06:49,320
Speaker 1: the Cuban people who stand to benefit here, because these

1271
01:06:49,400 --> 01:06:53,600
Speaker 1: vaccines do not rely on mRNA technology, but instead are

1272
01:06:53,640 --> 01:06:57,800
Speaker 1: what's called subunit protein vaccines. That means they're cheaper to produce,

1273
01:06:58,040 --> 01:07:00,240
Speaker 1: and they also don't require that super coold star SORG

1274
01:07:00,360 --> 01:07:03,440
Speaker 1: that makes the mRNA vaccines much more challenging to distribute

1275
01:07:03,520 --> 01:07:07,520
Speaker 1: in poor countries. Cuba's vaccines are right now being evaluated

1276
01:07:07,560 --> 01:07:10,560
Speaker 1: for World Health Organization approval, and the Global South is

1277
01:07:10,640 --> 01:07:14,320
Speaker 1: watching closely. They've given up on hoping that the US

1278
01:07:14,640 --> 01:07:18,080
Speaker 1: or Bill Gates or Kovacs or god forbid, Pfizer are

1279
01:07:18,080 --> 01:07:20,680
Speaker 1: going to save them. According to one Cuba expert, a

1280
01:07:20,680 --> 01:07:23,960
Speaker 1: professor in Scotland, the developing world has pinned their hopes

1281
01:07:24,000 --> 01:07:27,760
Speaker 1: on the Cuban vaccine. She tells CNBC. I think it

1282
01:07:27,800 --> 01:07:30,520
Speaker 1: is clear that many countries and populations in the Global

1283
01:07:30,560 --> 01:07:33,200
Speaker 1: South see the Cuban vaccine as their best hope for

1284
01:07:33,200 --> 01:07:36,480
Speaker 1: getting vaccinated by twenty twenty five, And in fact, now

1285
01:07:36,560 --> 01:07:39,760
Speaker 1: Cuba is announcing a massive push to help get these

1286
01:07:39,800 --> 01:07:41,800
Speaker 1: life saving vaccines to the people who need them, in

1287
01:07:41,840 --> 01:07:44,720
Speaker 1: a move that should be thoroughly humiliating to the Biden

1288
01:07:44,760 --> 01:07:47,640
Speaker 1: regime if they in fact had any sense of shame whatsoever.

1289
01:07:48,200 --> 01:07:51,560
Speaker 1: Cuba is pledging two hundred million vaccine doses to the

1290
01:07:51,560 --> 01:07:54,400
Speaker 1: Global South. That is more than what the US has

1291
01:07:54,440 --> 01:07:56,880
Speaker 1: delivered to all of the Middle East and to all

1292
01:07:56,920 --> 01:08:00,480
Speaker 1: of Africa, according to the Kaiser Family Foundation. A conference

1293
01:08:00,520 --> 01:08:04,520
Speaker 1: announcing this pledge, Cuban officials also announced number one solidarity

1294
01:08:04,560 --> 01:08:07,960
Speaker 1: prices for COVID nineteen vaccines for low income countries. Number

1295
01:08:08,000 --> 01:08:12,720
Speaker 1: two technology transfer where possible for production in low income countries,

1296
01:08:12,720 --> 01:08:16,440
Speaker 1: and number three, extending medical brigades to build medical capacity

1297
01:08:16,479 --> 01:08:20,240
Speaker 1: and training for vaccine distribution in those partner countries. All

1298
01:08:20,280 --> 01:08:23,520
Speaker 1: of these elements are totally crucial. They're planning to distribute

1299
01:08:23,560 --> 01:08:27,680
Speaker 1: inexpensive vaccines, they're planning to help build native capacity for

1300
01:08:27,840 --> 01:08:31,320
Speaker 1: production in low income countries, and they're also committing their

1301
01:08:31,360 --> 01:08:34,400
Speaker 1: own trained health workers to train local workers insteat of

1302
01:08:34,479 --> 01:08:38,839
Speaker 1: distributions so that those vaccines actually get into arms. How

1303
01:08:38,920 --> 01:08:41,559
Speaker 1: in the hell is it that Cuba, a country that's,

1304
01:08:41,640 --> 01:08:43,960
Speaker 1: let's be honest, is kind of falling apart, is doing

1305
01:08:44,000 --> 01:08:46,760
Speaker 1: this and we're not think of how shameful that is.

1306
01:08:47,200 --> 01:08:49,599
Speaker 1: We could have been the leader of a World War

1307
01:08:49,640 --> 01:08:52,720
Speaker 1: two style mobilization in support of curing the world. We

1308
01:08:52,840 --> 01:08:55,479
Speaker 1: could have used this moment to check the power of

1309
01:08:55,479 --> 01:08:57,799
Speaker 1: big pharma and shown that we care about a single

1310
01:08:57,880 --> 01:09:01,960
Speaker 1: thing other than corporate profits. Could have created huge amounts

1311
01:09:02,000 --> 01:09:05,080
Speaker 1: of goodwill and national pride by spearheading a mas global

1312
01:09:05,120 --> 01:09:09,000
Speaker 1: vaccination campaign, and from a purely selfish perspective, we would

1313
01:09:09,000 --> 01:09:11,960
Speaker 1: be protecting our own population by helping to vaccinate the

1314
01:09:12,000 --> 01:09:16,520
Speaker 1: world in getting ahead of new variants that could still emerge. Instead,

1315
01:09:16,880 --> 01:09:19,960
Speaker 1: we folded to the greed of the immoral capitalists, a

1316
01:09:20,040 --> 01:09:23,360
Speaker 1: big pharma Listen. Cuba's got a lot of problems. I'm

1317
01:09:23,360 --> 01:09:25,439
Speaker 1: not here to whitewash the repression of their government, but

1318
01:09:25,479 --> 01:09:27,800
Speaker 1: when it comes to these vaccines, there is zero doubt

1319
01:09:27,840 --> 01:09:31,400
Speaker 1: who occupies the world high ground. What a humiliating moment

1320
01:09:31,600 --> 01:09:35,479
Speaker 1: for a fading superpower. And just that contrast saga. When

1321
01:09:35,520 --> 01:09:38,360
Speaker 1: I saw it made me lose my mind. And if

1322
01:09:38,360 --> 01:09:41,120
Speaker 1: you want to hear my reaction to Crystal's monologue, become

1323
01:09:41,120 --> 01:09:47,439
Speaker 1: a premium subscriber today at Breakingpoints dot com. Join us

1324
01:09:47,479 --> 01:09:50,679
Speaker 1: now we have best selling author Johann Hari. His latest

1325
01:09:50,680 --> 01:09:54,599
Speaker 1: book is Stolen Focus, Why You Cannot Pay Attention, which

1326
01:09:54,880 --> 01:09:57,519
Speaker 1: landed pretty close to home for me. Johann, great to

1327
01:09:57,520 --> 01:10:00,080
Speaker 1: have you, Welcome to the show. Good to SEEZR. I

1328
01:10:00,160 --> 01:10:02,160
Speaker 1: love you. I love your show, so I'm so excited

1329
01:10:02,160 --> 01:10:03,840
Speaker 1: to be Really, it means a lot because I'm a

1330
01:10:03,840 --> 01:10:07,639
Speaker 1: longtime fan of your work as well. So I listened

1331
01:10:07,680 --> 01:10:10,160
Speaker 1: to your book on two point five time speed, which

1332
01:10:10,160 --> 01:10:12,120
Speaker 1: I felt a little bit guilty about. Some of the

1333
01:10:12,120 --> 01:10:14,439
Speaker 1: themes were like you should slow down and you need

1334
01:10:14,479 --> 01:10:17,479
Speaker 1: time for your brain to run while you're listening. But anyway,

1335
01:10:18,520 --> 01:10:20,720
Speaker 1: I still got a lot out of it. Why don't

1336
01:10:20,760 --> 01:10:23,439
Speaker 1: you just tell our listeners of viewers to start with,

1337
01:10:23,800 --> 01:10:27,800
Speaker 1: what brought you to this concern that our brains are

1338
01:10:27,840 --> 01:10:31,720
Speaker 1: actually changing and we're not able to focus in the

1339
01:10:31,760 --> 01:10:34,400
Speaker 1: ways that we perhaps were able to a generation ago.

1340
01:10:36,160 --> 01:10:39,040
Speaker 1: So I noticed that with every year that passed, things

1341
01:10:39,080 --> 01:10:41,760
Speaker 1: that required deep focus, like things that are really deep

1342
01:10:41,760 --> 01:10:43,719
Speaker 1: to my sense of self, like reading a book, watching

1343
01:10:43,760 --> 01:10:46,599
Speaker 1: long movies, We're getting more and more like running up

1344
01:10:46,600 --> 01:10:48,400
Speaker 1: and down escalator, you know what I mean. I could

1345
01:10:48,439 --> 01:10:51,280
Speaker 1: do it, but it was getting harder and harder, and

1346
01:10:51,320 --> 01:10:53,000
Speaker 1: I noticed it was happening to a huge number of

1347
01:10:53,040 --> 01:10:55,639
Speaker 1: people around me. I was particularly worried about the young

1348
01:10:55,680 --> 01:10:57,920
Speaker 1: people in my life. A lot of them seem to

1349
01:10:57,920 --> 01:11:00,760
Speaker 1: be worrying at the speed of snapchat. So I was

1350
01:11:00,840 --> 01:11:03,400
Speaker 1: wary of looking into this. At first, I thought, well,

1351
01:11:03,720 --> 01:11:06,799
Speaker 1: every generation struggles with its attention, is anything new happening?

1352
01:11:07,200 --> 01:11:09,160
Speaker 1: And even very early on when I started looking at

1353
01:11:09,160 --> 01:11:11,680
Speaker 1: the evidence, you know, for every one child who was

1354
01:11:11,720 --> 01:11:15,040
Speaker 1: identified as having serious attention problems when I was seven

1355
01:11:15,120 --> 01:11:18,559
Speaker 1: years old, there's now one hundred children who've been identified

1356
01:11:18,560 --> 01:11:22,439
Speaker 1: with that problem. The average American office worker now focuses

1357
01:11:22,479 --> 01:11:25,240
Speaker 1: on any one task for only three minutes. So I thought, Okay,

1358
01:11:25,439 --> 01:11:27,000
Speaker 1: I'm going to try and understand this. So I use

1359
01:11:27,080 --> 01:11:29,799
Speaker 1: my training in the social sciences at Cambridge to travel

1360
01:11:29,920 --> 01:11:32,800
Speaker 1: all over the world. I interviewed over two hundred of

1361
01:11:32,800 --> 01:11:37,080
Speaker 1: the leading experts on attention and focus, from Miami to

1362
01:11:37,240 --> 01:11:41,120
Speaker 1: Moscow to Melbourne to Montreal, not just cities that begin

1363
01:11:41,160 --> 01:11:43,559
Speaker 1: with the letter M, and I delve really deeply into

1364
01:11:43,640 --> 01:11:47,200
Speaker 1: their science. And what I learned is there's scientific evidence

1365
01:11:47,240 --> 01:11:50,439
Speaker 1: for twelve factors that can make your attention better or

1366
01:11:50,479 --> 01:11:53,640
Speaker 1: can make it worse, and loads of the factors that

1367
01:11:53,680 --> 01:11:56,800
Speaker 1: can make your attention worse have been significantly increasing in

1368
01:11:56,840 --> 01:12:00,720
Speaker 1: recent years. So your attention didn't collapse. Your attention has

1369
01:12:00,760 --> 01:12:03,479
Speaker 1: been stolen from you by these big forces. And we're

1370
01:12:03,479 --> 01:12:05,280
Speaker 1: going to have to respond in two ways. We have

1371
01:12:05,360 --> 01:12:07,519
Speaker 1: to have defense and offense. We have to defend ourselves

1372
01:12:07,560 --> 01:12:09,720
Speaker 1: individually as much as possible, but we're going to have

1373
01:12:09,760 --> 01:12:12,280
Speaker 1: to go on the offense against the forces that are

1374
01:12:12,280 --> 01:12:15,840
Speaker 1: doing this to us. There, you're looking at a guy

1375
01:12:15,840 --> 01:12:17,920
Speaker 1: who hasn't read a real book in five years, but

1376
01:12:18,000 --> 01:12:20,880
Speaker 1: has probably listened to hundreds of books at three and

1377
01:12:20,920 --> 01:12:23,000
Speaker 1: a half speed. So I'm right there with you. I

1378
01:12:23,040 --> 01:12:26,360
Speaker 1: also find the same thing. I recently did Apocalypse Now

1379
01:12:26,439 --> 01:12:28,559
Speaker 1: the Reducts warn't it took me three days to get

1380
01:12:28,560 --> 01:12:30,560
Speaker 1: through a three hour movie because you know, you're constantly

1381
01:12:31,360 --> 01:12:33,640
Speaker 1: checking something. So what does going on offense look like?

1382
01:12:33,680 --> 01:12:35,439
Speaker 1: What should people like me and other people be doing.

1383
01:12:37,080 --> 01:12:38,840
Speaker 1: It's interesting because that thing that you just said it

1384
01:12:38,920 --> 01:12:40,960
Speaker 1: is a really good illustration of why I think this

1385
01:12:41,040 --> 01:12:44,400
Speaker 1: is so important. So just say to anyone watching, think

1386
01:12:44,439 --> 01:12:47,759
Speaker 1: about anything you've ever done that you're proud of, whether

1387
01:12:47,800 --> 01:12:51,920
Speaker 1: it's learning to play the guitar, writing a screenplay, being

1388
01:12:51,920 --> 01:12:54,920
Speaker 1: a good parent, whatever it might be. That thing that

1389
01:12:54,960 --> 01:12:58,240
Speaker 1: you're proud of is something that required deep focus and attention.

1390
01:12:59,040 --> 01:13:02,599
Speaker 1: And when attention break down, our ability to achieve our

1391
01:13:02,640 --> 01:13:06,000
Speaker 1: goals and our ability to solve our problems also breaks down.

1392
01:13:06,040 --> 01:13:07,920
Speaker 1: That's happening at an individual level. We could also see

1393
01:13:07,920 --> 01:13:10,800
Speaker 1: that's happening at a big collective level. So I think

1394
01:13:10,840 --> 01:13:12,720
Speaker 1: what we have to do first is understand what these

1395
01:13:12,760 --> 01:13:15,000
Speaker 1: twelve factors are. When I started doing the research, I

1396
01:13:15,000 --> 01:13:16,960
Speaker 1: thought this would be largely a book about big tech.

1397
01:13:17,320 --> 01:13:19,920
Speaker 1: Big tech is a huge factor in this massive one.

1398
01:13:20,040 --> 01:13:22,519
Speaker 1: I actually don't think it's the biggest The factors that

1399
01:13:22,520 --> 01:13:25,639
Speaker 1: are causing our attention to collapse range from the sleep

1400
01:13:25,680 --> 01:13:27,880
Speaker 1: we no longer get, to the food we eat. The

1401
01:13:27,920 --> 01:13:31,200
Speaker 1: food industry has ruined our brains. There's a whole array

1402
01:13:31,240 --> 01:13:33,280
Speaker 1: of these factors. But in terms of going on the

1403
01:13:33,280 --> 01:13:35,920
Speaker 1: our fence, I think what we've got to do is,

1404
01:13:36,680 --> 01:13:39,400
Speaker 1: I would argue there's a historical analogy that can help

1405
01:13:39,439 --> 01:13:41,680
Speaker 1: us to think about it. So I think we're all

1406
01:13:41,720 --> 01:13:43,040
Speaker 1: about the same match. That you guys are a little

1407
01:13:43,040 --> 01:13:45,680
Speaker 1: bit younger than me. Actually, so it used to be.

1408
01:13:45,720 --> 01:13:48,160
Speaker 1: I can just remember that it was normal that people

1409
01:13:48,160 --> 01:13:50,760
Speaker 1: put leaded gasoline in their cars. My mother used to

1410
01:13:50,760 --> 01:13:52,920
Speaker 1: do it. People used to paint their homes with leaded paint,

1411
01:13:53,680 --> 01:13:56,880
Speaker 1: and it was known for years that this profoundly damaged

1412
01:13:56,920 --> 01:13:59,800
Speaker 1: children's brains and in particularly their ability to focus and

1413
01:13:59,800 --> 01:14:02,439
Speaker 1: pay attention. But the lead industry funded a kind of

1414
01:14:02,680 --> 01:14:06,360
Speaker 1: pseudoscience to deny it, or they blamed individual mothers so

1415
01:14:06,479 --> 01:14:08,879
Speaker 1: they didn't dust their homes enough. But by the seventies

1416
01:14:08,920 --> 01:14:12,439
Speaker 1: the evidence was so overwhelming that there rose up a

1417
01:14:12,479 --> 01:14:16,920
Speaker 1: movement of ordinary people, mostly mothers, who just campaigned and said,

1418
01:14:17,080 --> 01:14:19,320
Speaker 1: why are we allowing our children's brains to be destroyed

1419
01:14:19,320 --> 01:14:21,479
Speaker 1: in this way, let's not allow it. And it's important

1420
01:14:21,479 --> 01:14:24,960
Speaker 1: to notice what they didn't say. They didn't say let's

1421
01:14:25,000 --> 01:14:28,000
Speaker 1: ban all paint. They didn't say let's ban all gasoline.

1422
01:14:28,160 --> 01:14:30,680
Speaker 1: They said let's ban the lead in the paint and

1423
01:14:30,720 --> 01:14:33,240
Speaker 1: the gasoline. And in a similar way, for all of

1424
01:14:33,280 --> 01:14:35,120
Speaker 1: the twelve factors that I write about in my book

1425
01:14:35,160 --> 01:14:37,640
Speaker 1: Stolen Focus, there are lots of things we can do

1426
01:14:37,720 --> 01:14:41,920
Speaker 1: as isolated individuals to protect ourselves and our kids. I'm

1427
01:14:41,960 --> 01:14:44,680
Speaker 1: passionately in favor of individual action, but we've got a

1428
01:14:44,720 --> 01:14:47,479
Speaker 1: level with people at the moment. It's like somebody is

1429
01:14:47,520 --> 01:14:50,320
Speaker 1: pouring itching powder over us all day, and then they're

1430
01:14:50,360 --> 01:14:53,400
Speaker 1: leaning forward and going, hey, buddy, you might want to

1431
01:14:53,439 --> 01:14:55,679
Speaker 1: learn how to meditate, then you wouldn't scratch so much,

1432
01:14:55,960 --> 01:14:58,160
Speaker 1: to which the obvious response is, Okay, I'll learn to meditate.

1433
01:14:58,160 --> 01:14:59,920
Speaker 1: But we need to stop you pouring itching powder on

1434
01:15:00,640 --> 01:15:02,800
Speaker 1: and we need to do that in targeted ways. So

1435
01:15:02,840 --> 01:15:05,800
Speaker 1: I can explain, for example, this specific aspect of the

1436
01:15:05,800 --> 01:15:08,799
Speaker 1: way our tech currently works that is invading our attention

1437
01:15:09,200 --> 01:15:11,719
Speaker 1: that we can change if we want to, through collective action.

1438
01:15:14,080 --> 01:15:17,640
Speaker 1: Different factors, and certainly tech is one of them, and

1439
01:15:17,720 --> 01:15:20,400
Speaker 1: just you know, my own personal experience actually sort of

1440
01:15:20,439 --> 01:15:25,360
Speaker 1: blamed my lack of focus and ability to like hold

1441
01:15:25,400 --> 01:15:27,800
Speaker 1: one thought in my head for a sustained period of time.

1442
01:15:27,840 --> 01:15:29,920
Speaker 1: I sort of blame my kids on it, because when

1443
01:15:29,960 --> 01:15:32,519
Speaker 1: I started having kids was about the same time that

1444
01:15:32,560 --> 01:15:34,880
Speaker 1: I think all of these tech platforms really started invade

1445
01:15:34,920 --> 01:15:37,400
Speaker 1: my life and takeover a lot of space. So I thought, oh,

1446
01:15:37,439 --> 01:15:40,040
Speaker 1: this is just mommy brain, Like I have too many

1447
01:15:40,040 --> 01:15:41,800
Speaker 1: slots of my brain are filled with like where my

1448
01:15:41,880 --> 01:15:44,320
Speaker 1: kid's shoes are and when the next ballet lesson is,

1449
01:15:44,360 --> 01:15:46,760
Speaker 1: And that's why my focus has been lost. And I

1450
01:15:46,840 --> 01:15:49,080
Speaker 1: still think that's probably a part of it. But you've

1451
01:15:49,080 --> 01:15:50,880
Speaker 1: helped me to understand some of the other things that

1452
01:15:50,920 --> 01:15:53,320
Speaker 1: are going on, and also to give myself a little

1453
01:15:53,320 --> 01:15:55,880
Speaker 1: bit less of a hard time about some of those

1454
01:15:55,960 --> 01:15:59,720
Speaker 1: brain failures that I experience all the time. But you know,

1455
01:16:00,040 --> 01:16:02,479
Speaker 1: as I look at all these different factors, doesn't it

1456
01:16:02,560 --> 01:16:04,960
Speaker 1: just really come down to one factor, which is capitalism.

1457
01:16:05,040 --> 01:16:07,720
Speaker 1: I mean, when you talk about big tech and their

1458
01:16:07,760 --> 01:16:10,280
Speaker 1: profit motives, when you talk about big food and their

1459
01:16:10,320 --> 01:16:12,559
Speaker 1: profit motives, when you talk about the companies that are

1460
01:16:12,560 --> 01:16:17,080
Speaker 1: polluting the environment that has tremendously negative effects on our children,

1461
01:16:17,160 --> 01:16:19,400
Speaker 1: for example, or even you get into the fact that

1462
01:16:19,840 --> 01:16:23,800
Speaker 1: the fact that we sleep less is even because of

1463
01:16:23,880 --> 01:16:27,040
Speaker 1: this profit motive, because if you're asleep, you're not making

1464
01:16:27,080 --> 01:16:29,840
Speaker 1: anybody any money. And if you're only focused on one

1465
01:16:29,880 --> 01:16:32,640
Speaker 1: screen instead of five, then that's also less ability to

1466
01:16:32,680 --> 01:16:36,920
Speaker 1: sort of bombard you with money making profit making potential.

1467
01:16:37,320 --> 01:16:41,080
Speaker 1: So isn't the real problem here sort of that profit making,

1468
01:16:41,320 --> 01:16:43,280
Speaker 1: you know, being central to our lives and all of

1469
01:16:43,320 --> 01:16:47,599
Speaker 1: these different spheres. It's a big part of it. This

1470
01:16:47,640 --> 01:16:51,200
Speaker 1: is a big systemic problem, and there are key aspects

1471
01:16:51,200 --> 01:16:54,639
Speaker 1: of how capitalism is currently functioning that are profoundly damaging

1472
01:16:54,640 --> 01:16:57,280
Speaker 1: our attention. Just like everyone watching your show knows from

1473
01:16:57,320 --> 01:17:00,320
Speaker 1: your brilliant coverage that the way capitalism works is us

1474
01:17:00,320 --> 01:17:03,360
Speaker 1: beyond our ecological limits, the way it currently works is

1475
01:17:03,400 --> 01:17:06,599
Speaker 1: also pushing us beyond our attentional limits. So that has

1476
01:17:06,600 --> 01:17:08,000
Speaker 1: had a bit fancy and grand. So I give you

1477
01:17:08,080 --> 01:17:10,400
Speaker 1: a very clear example. I went to interview one of

1478
01:17:10,439 --> 01:17:12,519
Speaker 1: the leading experts in the world's or whether the leading

1479
01:17:12,600 --> 01:17:15,639
Speaker 1: neuroscientists in the world, professor Earl Miller. He's at MIT,

1480
01:17:16,120 --> 01:17:18,080
Speaker 1: and he said to me, look, there's one thing you've

1481
01:17:18,120 --> 01:17:20,840
Speaker 1: got to understand more than anything else about the human brain.

1482
01:17:21,600 --> 01:17:24,559
Speaker 1: You can only think about one or two things consciously

1483
01:17:24,600 --> 01:17:27,240
Speaker 1: at a time. That's it. This is a fundamental limit

1484
01:17:27,280 --> 01:17:29,720
Speaker 1: of the human brain. Hasn't changed in forty thousand years.

1485
01:17:29,760 --> 01:17:31,400
Speaker 1: It's not going to change on any times. Girl, we're

1486
01:17:31,439 --> 01:17:34,040
Speaker 1: going to see. But what's happened is, partly as a

1487
01:17:34,040 --> 01:17:36,960
Speaker 1: result of the dynamics you're describing, we've fallen for a

1488
01:17:37,120 --> 01:17:40,080
Speaker 1: mass illusion. The average teenager now believes they can follow

1489
01:17:40,240 --> 01:17:42,920
Speaker 1: six or seven forms of media at the same time.

1490
01:17:43,200 --> 01:17:45,160
Speaker 1: So when scientists get people into labs and they get

1491
01:17:45,200 --> 01:17:47,640
Speaker 1: them to think they're multitasking, they study them and what

1492
01:17:47,720 --> 01:17:49,640
Speaker 1: they discover is when you try and do lots of

1493
01:17:49,680 --> 01:17:51,360
Speaker 1: things at the same time, you're in fact not doing

1494
01:17:51,400 --> 01:17:53,879
Speaker 1: lots of things at the same time. You're very rapidly

1495
01:17:54,000 --> 01:17:56,240
Speaker 1: juggling between them. What was that on WhatsApp? What did

1496
01:17:56,280 --> 01:17:58,280
Speaker 1: she just ask me? What was that on Facebook? Wait?

1497
01:17:58,320 --> 01:18:01,200
Speaker 1: What did the TV screen just say? And that comes

1498
01:18:01,800 --> 01:18:04,760
Speaker 1: with a really big cost. The technical term for it

1499
01:18:05,160 --> 01:18:07,439
Speaker 1: is the switch cost effect. When you try and do

1500
01:18:07,560 --> 01:18:10,240
Speaker 1: more than one thing at a time, you will do

1501
01:18:10,600 --> 01:18:14,320
Speaker 1: everything you're trying to do less competently, You'll make more mistakes,

1502
01:18:14,560 --> 01:18:17,479
Speaker 1: you'll remember less of what you do, you'll be less creative.

1503
01:18:17,520 --> 01:18:19,720
Speaker 1: This might sound like a small effect, it's really big.

1504
01:18:20,000 --> 01:18:22,880
Speaker 1: One study found just receiving eight text messages an hour

1505
01:18:23,439 --> 01:18:27,520
Speaker 1: lowers your mental performance by thirty percent. If you're interrupted

1506
01:18:27,560 --> 01:18:30,040
Speaker 1: by something as small as a text message, it takes you,

1507
01:18:30,200 --> 01:18:32,479
Speaker 1: on average twenty three minutes to get back to the

1508
01:18:32,560 --> 01:18:35,559
Speaker 1: level of focus that you had before you were interrupted.

1509
01:18:35,720 --> 01:18:38,120
Speaker 1: But many of us are never getting twenty three minutes

1510
01:18:38,120 --> 01:18:40,360
Speaker 1: without being interrupted. Now, partly that's because someone's got kids.

1511
01:18:40,439 --> 01:18:42,800
Speaker 1: I understand entirely why that's happening to you, but there's

1512
01:18:42,840 --> 01:18:45,880
Speaker 1: been an extra layer of interruption that's been layered onto

1513
01:18:45,960 --> 01:18:48,800
Speaker 1: all of us because, and it's important to understand, the

1514
01:18:48,880 --> 01:18:51,320
Speaker 1: way big tech want us to think about this is

1515
01:18:51,400 --> 01:18:53,720
Speaker 1: are you pro tech or anti tech? And that just

1516
01:18:53,840 --> 01:18:56,320
Speaker 1: induces a kind of fatalism, because we're not going to

1517
01:18:56,360 --> 01:18:58,559
Speaker 1: all go and join the Armish. No disrespect to any

1518
01:18:58,640 --> 01:19:00,479
Speaker 1: armies you're watching. I think it's unlikely if they are.

1519
01:19:00,760 --> 01:19:03,160
Speaker 1: We're not going to do that, nor should we, And

1520
01:19:03,640 --> 01:19:05,439
Speaker 1: we want our tech, so of course that induces are

1521
01:19:05,439 --> 01:19:06,720
Speaker 1: fatal as and we think, well, I'll just have to

1522
01:19:06,760 --> 01:19:09,120
Speaker 1: be protech. Then the question is not are you pro tech?

1523
01:19:09,200 --> 01:19:12,479
Speaker 1: Or anti tech. The question is what tech working for?

1524
01:19:12,600 --> 01:19:15,680
Speaker 1: Whose purpose is with what goals? And we can get

1525
01:19:15,760 --> 01:19:17,600
Speaker 1: to a different kind of tech and with all of

1526
01:19:17,680 --> 01:19:20,560
Speaker 1: the eleven other factors that are invading our attention that

1527
01:19:20,640 --> 01:19:23,080
Speaker 1: I write about install and focus, we can change these

1528
01:19:23,080 --> 01:19:25,880
Speaker 1: factors because you're absolutely right, Crystal that at the moment,

1529
01:19:27,120 --> 01:19:30,240
Speaker 1: all of these apps are designed around one thing. It's

1530
01:19:30,400 --> 01:19:33,000
Speaker 1: very simple. The business model is the more frequently you

1531
01:19:33,080 --> 01:19:36,200
Speaker 1: pick up your phone and the longer you scroll, the

1532
01:19:36,320 --> 01:19:38,360
Speaker 1: more money they make. That's it. Just like the head

1533
01:19:38,360 --> 01:19:40,920
Speaker 1: of KFC wants you to eat fried chicken. All of

1534
01:19:41,000 --> 01:19:43,799
Speaker 1: these companies, all of their algorithms, all of their engineering

1535
01:19:43,880 --> 01:19:46,240
Speaker 1: power is built very simply, and they admit this. Some

1536
01:19:46,400 --> 01:19:48,840
Speaker 1: of them around getting you to pick up your phone

1537
01:19:48,880 --> 01:19:51,000
Speaker 1: more often and scroll longer, and they have developed a

1538
01:19:51,320 --> 01:19:54,600
Speaker 1: genius array of techniques to make us do that. So

1539
01:19:54,760 --> 01:19:57,160
Speaker 1: what we've got to do is go after that particular

1540
01:19:57,240 --> 01:20:01,880
Speaker 1: business model what Shashana Zubob, Professor Shoshana zu calls surveillance capitalism.

1541
01:20:02,240 --> 01:20:04,280
Speaker 1: We've got to just ban it. Right, we banned lead

1542
01:20:04,400 --> 01:20:07,040
Speaker 1: in paint. We can ban that business model. We can

1543
01:20:07,160 --> 01:20:09,760
Speaker 1: force these companies to move to different business models that

1544
01:20:09,880 --> 01:20:11,880
Speaker 1: can begin to respect your attention. I go through this

1545
01:20:11,880 --> 01:20:13,760
Speaker 1: so much more detail in the book, and with all

1546
01:20:13,880 --> 01:20:15,560
Speaker 1: of these factors, think about the fact the way we

1547
01:20:15,920 --> 01:20:20,040
Speaker 1: eat is profoundly damaging our ability to focus and attention

1548
01:20:20,360 --> 01:20:22,639
Speaker 1: because of the food industry. And I go through lots

1549
01:20:22,680 --> 01:20:25,080
Speaker 1: of ways this is happening. But give you just one example.

1550
01:20:25,439 --> 01:20:28,519
Speaker 1: Imagine you have the standard American British breakfast what I

1551
01:20:28,600 --> 01:20:30,720
Speaker 1: grew up eating. I'm pretty sure you guys, did you know,

1552
01:20:31,000 --> 01:20:34,200
Speaker 1: sugary cereal and white bread. What that does is it

1553
01:20:34,280 --> 01:20:36,639
Speaker 1: releases not together that would be weird. What that does

1554
01:20:36,880 --> 01:20:39,240
Speaker 1: is it releases a huge amount of glucose very quickly

1555
01:20:39,320 --> 01:20:42,240
Speaker 1: into your brain, huge energy surge. You feel like you've

1556
01:20:42,280 --> 01:20:44,920
Speaker 1: woken up. It's great. And then a couple of hours later,

1557
01:20:44,960 --> 01:20:46,800
Speaker 1: you're sitting at your desk or your kid is sitting

1558
01:20:46,800 --> 01:20:50,040
Speaker 1: at their desk, and you get a huge energy slump

1559
01:20:50,320 --> 01:20:52,240
Speaker 1: and you get brain fog where you just can't think

1560
01:20:52,360 --> 01:20:55,200
Speaker 1: very clearly until you have another sugary carb snack. The

1561
01:20:55,360 --> 01:20:58,800
Speaker 1: diet we eat puts us on a roller coaster of

1562
01:20:59,120 --> 01:21:02,479
Speaker 1: energy spikes, energy crashes, which causes patches of brain bog

1563
01:21:02,560 --> 01:21:05,400
Speaker 1: throughout the day. The way one leading nutritionist Dale Pinic

1564
01:21:05,439 --> 01:21:08,360
Speaker 1: put it to me, it's like we're putting rocket fuel

1565
01:21:08,439 --> 01:21:10,760
Speaker 1: into a mini. It'll go really fast for five minutes,

1566
01:21:10,800 --> 01:21:12,160
Speaker 1: then it will just stop. This is one of many

1567
01:21:12,200 --> 01:21:16,880
Speaker 1: ways the way we eat is damaging our attention. And again,

1568
01:21:17,120 --> 01:21:21,600
Speaker 1: this is highly unusual. No humans have ever eaten the

1569
01:21:21,680 --> 01:21:23,800
Speaker 1: way we eat. If you eat food that releases energy

1570
01:21:23,840 --> 01:21:27,360
Speaker 1: steadily throughout the day, as almost all humans before us did,

1571
01:21:27,800 --> 01:21:29,920
Speaker 1: you'll be able to pay attention in a better way.

1572
01:21:30,200 --> 01:21:32,519
Speaker 1: But you're right, and so much of your show is

1573
01:21:32,560 --> 01:21:36,400
Speaker 1: about exposing these corporate forces. One of the things that

1574
01:21:36,439 --> 01:21:38,960
Speaker 1: worries me is when people hear that about food, oftenly think, oh,

1575
01:21:39,200 --> 01:21:43,719
Speaker 1: I'm doing something wrong. No, the entire food supply industry

1576
01:21:43,800 --> 01:21:47,160
Speaker 1: has changed in a way that harms our attention. More

1577
01:21:47,200 --> 01:21:51,120
Speaker 1: eighteen month old children know what the McDonald's means than

1578
01:21:51,200 --> 01:21:53,560
Speaker 1: know their own last name. We've got to take on

1579
01:21:53,720 --> 01:21:56,320
Speaker 1: these big forces and argue in the book that just

1580
01:21:56,439 --> 01:21:58,719
Speaker 1: like we needed, and of course still need, a feminist

1581
01:21:58,760 --> 01:22:02,519
Speaker 1: movement to read claim women's bodies and lives, we need

1582
01:22:02,600 --> 01:22:05,200
Speaker 1: an attention movement to reclaim our minds, and we need

1583
01:22:05,240 --> 01:22:07,320
Speaker 1: to shift that consciousness. We need to stop doing what

1584
01:22:07,520 --> 01:22:09,360
Speaker 1: I did and what you did, which is when we

1585
01:22:09,439 --> 01:22:12,960
Speaker 1: can't focus primarily blaming ourselves is to say to myself, Oh,

1586
01:22:13,000 --> 01:22:15,599
Speaker 1: you don't have enough willpower, You're not strong enough, you're

1587
01:22:15,640 --> 01:22:18,479
Speaker 1: not good enough. No, this is being done to all

1588
01:22:18,520 --> 01:22:21,080
Speaker 1: of us. Professor Joel Nig, one of the leading experts

1589
01:22:21,120 --> 01:22:23,840
Speaker 1: on children's attention problems, said to me, we need to

1590
01:22:23,920 --> 01:22:26,000
Speaker 1: ask if we're living in what we called an intentional

1591
01:22:26,280 --> 01:22:29,880
Speaker 1: pathogenic environment when where all of us are struggling with this,

1592
01:22:30,240 --> 01:22:32,160
Speaker 1: and to deal with that, we've got to change our psychology.

1593
01:22:32,800 --> 01:22:36,240
Speaker 1: We are not medieval peasants begging at the court of

1594
01:22:36,320 --> 01:22:39,519
Speaker 1: King Zuckerberg for a few little crumbs of attention from

1595
01:22:39,600 --> 01:22:43,000
Speaker 1: his table. We are the free citizens of democracies, and

1596
01:22:43,120 --> 01:22:45,559
Speaker 1: we own our own minds and we can take them

1597
01:22:45,600 --> 01:22:48,160
Speaker 1: back from the forces that are corrupting our minds and

1598
01:22:48,280 --> 01:22:50,280
Speaker 1: our kids' minds. But we're going to have to fight

1599
01:22:50,360 --> 01:22:52,280
Speaker 1: for it because we're in a race. Right on the

1600
01:22:52,360 --> 01:22:54,600
Speaker 1: one hand, you've got all these forces that are on

1601
01:22:54,680 --> 01:22:58,200
Speaker 1: the current trajectory only going to become more powerful. Paul Graham,

1602
01:22:58,240 --> 01:23:01,240
Speaker 1: one of the biggest investors in silicon on Bali, said

1603
01:23:01,280 --> 01:23:03,479
Speaker 1: the world will become more addictive in the next forty

1604
01:23:03,560 --> 01:23:05,719
Speaker 1: years than it was in the last forty Think about

1605
01:23:05,760 --> 01:23:07,800
Speaker 1: how much more addictive TikTok is to a child than

1606
01:23:08,120 --> 01:23:11,559
Speaker 1: the Facebook was. Right, that's one trajectory. That's one side

1607
01:23:11,600 --> 01:23:13,680
Speaker 1: of the race. On the other side, there's got to

1608
01:23:13,720 --> 01:23:16,040
Speaker 1: be all of us who, like in the historical precedent

1609
01:23:16,080 --> 01:23:19,840
Speaker 1: with lead, say no, no, you don't get to do

1610
01:23:19,960 --> 01:23:21,760
Speaker 1: this to us. You don't get to do this to

1611
01:23:21,840 --> 01:23:23,400
Speaker 1: our children. We don't want to live this way. We

1612
01:23:23,479 --> 01:23:25,760
Speaker 1: don't want to have lives where the average office worker

1613
01:23:25,840 --> 01:23:28,000
Speaker 1: only focuses for three minutes. We don't want to have

1614
01:23:28,040 --> 01:23:30,760
Speaker 1: a life deprived of depth, deprived of the ability to

1615
01:23:30,840 --> 01:23:34,400
Speaker 1: achieve our goals to think. No, we choose a different life.

1616
01:23:34,680 --> 01:23:36,240
Speaker 1: But we're only going to get that if we fight

1617
01:23:36,320 --> 01:23:40,320
Speaker 1: for it. Wow. Really I feel inspired. I hope everybody

1618
01:23:40,360 --> 01:23:42,240
Speaker 1: else can do. Look, we're going to have a link

1619
01:23:42,280 --> 01:23:44,280
Speaker 1: down there in the description. Yohan, thank you so much

1620
01:23:44,280 --> 01:23:46,439
Speaker 1: for joining us. You've just laid out the case so well.

1621
01:23:46,800 --> 01:23:48,559
Speaker 1: Thank you so much, Johan, Thank you for your time.

1622
01:23:48,720 --> 01:23:51,400
Speaker 1: Ed are you. I understand you've graciously agreed to also

1623
01:23:51,479 --> 01:23:54,720
Speaker 1: join me again with my other co host Calcolins in

1624
01:23:54,880 --> 01:23:58,960
Speaker 1: this as well. So strong man, Thank you. I can

1625
01:23:59,200 --> 01:24:01,760
Speaker 1: never have yeah, I can never have too much of you,

1626
01:24:01,840 --> 01:24:04,760
Speaker 1: so don't worry. I'm thank you on the side guy,

1627
01:24:05,000 --> 01:24:06,519
Speaker 1: And anyone wants to know where to get the book,

1628
01:24:06,520 --> 01:24:08,840
Speaker 1: they can just go to starleofocusbook dot com as well.

1629
01:24:09,200 --> 01:24:11,400
Speaker 1: Thank you guys so much for having me. Absolutely we'll

1630
01:24:11,400 --> 01:24:13,280
Speaker 1: have a link in the description. Thank you guys so

1631
01:24:13,400 --> 01:24:15,799
Speaker 1: much for watching. We really appreciate it all the support.

1632
01:24:15,880 --> 01:24:17,479
Speaker 1: It means a lot. We got some messages being like,

1633
01:24:17,520 --> 01:24:20,160
Speaker 1: don't worry so much about the technical difficulties. No, listen,

1634
01:24:20,240 --> 01:24:22,960
Speaker 1: it's going to drive me crazy until because you guys

1635
01:24:23,040 --> 01:24:25,320
Speaker 1: pay for our product and you support us, and we

1636
01:24:25,560 --> 01:24:27,160
Speaker 1: have made a commitment to you. So, like we said,

1637
01:24:27,400 --> 01:24:30,240
Speaker 1: we will deliver you that longer AMA over the weekend.

1638
01:24:30,280 --> 01:24:32,760
Speaker 1: We're gonna do ten questions instead of five to make

1639
01:24:32,840 --> 01:24:35,160
Speaker 1: up for not having the reactions to the rest of you.

1640
01:24:35,439 --> 01:24:38,240
Speaker 1: We appreciate you guys so much in your support. You know, Chris,

1641
01:24:38,360 --> 01:24:41,160
Speaker 1: I don't I saw this. I did that whole monologue

1642
01:24:41,200 --> 01:24:43,519
Speaker 1: on the Great Reset narrative or whatever. They put some

1643
01:24:43,720 --> 01:24:46,479
Speaker 1: fact check underneath and we're like, this is what the

1644
01:24:46,960 --> 01:24:49,320
Speaker 1: thing really is. Sobody, who are you? Why are you

1645
01:24:49,400 --> 01:24:51,760
Speaker 1: looking to Wikipedia under my art? You don't need to

1646
01:24:51,800 --> 01:24:53,720
Speaker 1: do that. It's well researched, like I have all my

1647
01:24:54,040 --> 01:24:56,360
Speaker 1: sources there. So look, this is what we're dealing with.

1648
01:24:56,760 --> 01:24:59,599
Speaker 1: I was telling you. In one of the breaks, somebody

1649
01:24:59,760 --> 01:25:02,640
Speaker 1: was just banned from YouTube, Dan Bongino. Like I'm not

1650
01:25:02,760 --> 01:25:04,760
Speaker 1: like a big Dan Bongino fan, but like the guy

1651
01:25:04,920 --> 01:25:08,240
Speaker 1: was banned for saying or got strike whatever for saying

1652
01:25:08,320 --> 01:25:10,760
Speaker 1: that cloth masks don't work against COVID. This is something

1653
01:25:10,840 --> 01:25:13,160
Speaker 1: the CDC and also some them out and said stupid

1654
01:25:13,200 --> 01:25:17,200
Speaker 1: technicality of like he was right. He posted on another

1655
01:25:17,360 --> 01:25:19,280
Speaker 1: channel that he has and that was part of it

1656
01:25:19,360 --> 01:25:22,080
Speaker 1: as well. I mean, it just shows you like this,

1657
01:25:22,240 --> 01:25:24,080
Speaker 1: you can be gone in an instant. This is the

1658
01:25:24,120 --> 01:25:26,120
Speaker 1: whole reason why we set things up the way that

1659
01:25:26,200 --> 01:25:28,240
Speaker 1: we did, so we wouldn't have to worry about the

1660
01:25:28,280 --> 01:25:30,280
Speaker 1: whims of these people and who decides they have it

1661
01:25:30,360 --> 01:25:33,439
Speaker 1: out for you or not true. Thank you for those

1662
01:25:33,479 --> 01:25:35,799
Speaker 1: who support us. We take it very very very seriously

1663
01:25:36,400 --> 01:25:38,519
Speaker 1: those of you do. And we'll see you guys next week.

1664
01:25:38,680 --> 01:25:40,519
Speaker 1: All right, guys, enjoy the weekend. We'll see you next week.