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

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

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Speaker 1: We took a big risk going independent to make this work.

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Speaker 1: We need your support to beat the corporate media CNN, Fox, MSNBC.

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Speaker 1: They are ripping this country apart. They are making millions

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Speaker 1: of dollars doing it. To help support our mission of

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Speaker 1: making all of us hate each other, less hate the

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

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

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

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

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

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

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

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Speaker 1: When do we have Crystal? Indeed, we do a lot

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Speaker 1: of big developments to get to. First of all, you

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Speaker 1: might have noticed Facebook, Instagram, WhatsApp all down for most

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Speaker 1: of yesterday in a gigantic collapse. Still don't have a

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Speaker 1: lot of answers about exactly what happened, but some new

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Speaker 1: indications there this morning. And that happened the same day

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Speaker 1: that the whistleblower who had brought forward lots of files

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Speaker 1: of the the Wall Street Journal. They've been doing a big

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Speaker 1: investigation into Facebook the same day that she was on

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Speaker 1: sixty minutes, so very interesting timing. There new report about

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Speaker 1: massive corruption at the FED. I cannot understate how important

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Speaker 1: this is of all of the actors that drive our economy. Economy.

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Speaker 1: I mean, the FED is literally responsible for who gets

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Speaker 1: money and who doesn't. The idea that these men and

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Speaker 1: women are corrupted in trading stocks and profiting off of

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Speaker 1: what they're doing is massive news, wildly undercovered. We're going

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Speaker 1: to bring you the details. Another big story out in California,

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Speaker 1: big oil spill, and new questions this morning about when

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Speaker 1: officials knew that this leak had happened and this spill

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Speaker 1: was occurring, and when they actually got their act together

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Speaker 1: to do something about it. In alert resonance. Give you

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Speaker 1: the details there. Iatzi, huge union representing basically, the crew

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Speaker 1: on movie and other productions. They have authorized a strike.

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Speaker 1: This is sixty thousand workers who would be impacted. Hollywood

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Speaker 1: could potentially come to a halt. Negotiations have restarted their

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Speaker 1: ongoing We'll bring you on the details there, but we

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Speaker 1: wanted to start this morning with the dumbest but realist

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Speaker 1: crisis in all of DC, which is the debt ceiling.

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Speaker 1: I did a monologue a while back laying out the

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Speaker 1: details of the debt ceiling, some of the potential solutions,

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Speaker 1: but I just want to go over some of the

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Speaker 1: basics here because there can be a little bit of

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Speaker 1: a misunderstanding. When you talk about the debt ceiling. It

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Speaker 1: sounds like it might have something to do with fiscal

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Speaker 1: responsibility and balancing your budget and those sorts of things.

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Speaker 1: So if you're into that, the debt ceiling has really

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Speaker 1: nothing to do with that. It is this arbitrary historical relic.

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Speaker 1: The spending has already been authorized, the debt has already

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Speaker 1: been incurred. This is just a question of Congress doing

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Speaker 1: its job to figure out whether they're actually going to

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Speaker 1: pay the bills that they voted to spend this money.

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Speaker 1: So it's a stupid crisis. No other country has the

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Speaker 1: same debt sealing situation, and yet the consequences of breaching

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Speaker 1: the debt ceiling, which are going to happen, which will

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Speaker 1: happen in mid October, are incredibly, incredibly serious. I'll get

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Speaker 1: to that in a moment. So there are a couple

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Speaker 1: of options in order to raise the debt ceiling. One

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Speaker 1: is Republicans could actually help Democrats and do this. McConnell

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Speaker 1: has said he's absolutely not going to do that. Two is,

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Speaker 1: Democrats could use the reconciliation process where they only need

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Speaker 1: to use their majority, they don't have to rely on Republicans.

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Speaker 1: They've been really reluctant because they feel like it might

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Speaker 1: be a political problem for them to do this on

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Speaker 1: their own, so they've been throwing up all sorts of

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Speaker 1: objections to doing that. And at this point it's late

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Speaker 1: in the process and it is a gamble to be

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Speaker 1: able to get this through the reconciliation process on time.

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Speaker 1: The other solution for which I am an advocate is

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Speaker 1: to do what's called minting the coin. There is a

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Speaker 1: provision in the law that would allow the Treasury to

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Speaker 1: mint a trillion dollar coin. It's effectively an accounting gimmick. Yes,

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Speaker 1: it's sound stupid, but it is a real solution that

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Speaker 1: actual smart people and members of Congress have floated and

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Speaker 1: have backed. Essentially moved assets from one part of the

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Speaker 1: federal government's balance sheet to another. There's no inflation, there's

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Speaker 1: no additional money to get us around this thing. I

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Speaker 1: personally think that that is the direction we should be

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Speaker 1: going in at this point. But all of the actors

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Speaker 1: involved have effectively ruled out every single one of those

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Speaker 1: potential solutions. So here is Joe Biden yesterday getting asked

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Speaker 1: about the debt sealing, and I think these remarks will

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Speaker 1: give you a sense of how dire the situation is

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Speaker 1: at this point. Falling on the dead would lead to

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Speaker 1: a self inflicted wound that takes our economy over a

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Speaker 1: cliff and risk jobs and retirement savings, social Security benefits,

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Speaker 1: salaries for service members, benefits for veterans. It's so much more.

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Speaker 1: A failure to raise the deadlminent will call into question

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Speaker 1: Congress's willingness to meet our obligations that we've already incurred,

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Speaker 1: not new ones we've already incurred. This is going to

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Speaker 1: undermine the safety of US Treasury securities and will threaten

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Speaker 1: the reserve status of the dollar as the world's currency

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Speaker 1: the world relies on. American credit rating will be downgraded.

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Speaker 1: Interest rates will rise for mortgages, auto loans, credit cards, borrowing.

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Speaker 1: Folks watching at home, you should know this is the

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Speaker 1: Republican position. Here's it is. They won't vote to raise

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Speaker 1: the debt limit to cover their own spending. Democrats vote

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Speaker 1: with them to cover that spend last four years the

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Speaker 1: previous four years. They say Democrats should do it alone.

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Speaker 1: But then they're threatening to use a procedural power called

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Speaker 1: the filibuster, meaning that we'd have to get sixty votes,

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Speaker 1: not fifty votes to increase the dead limit. This would

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Speaker 1: block the Democrats from meeting our obligations and responsibilities to

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Speaker 1: prevent Congress from raising the dead limit. So let's be clear,

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Speaker 1: not only are Republicans refusing to do their job, the

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Speaker 1: threatening to use the power their power to prevent us

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Speaker 1: from doing our job saving the economy from a catastrophic event.

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Speaker 1: I think, quite frankly hypocritical, dangerous, and disgraceful. Their obstruction

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Speaker 1: and irresponsibility knows absolutely no bounds. Excuse me, especially as

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Speaker 1: we're clawing our way out of this pandemic. So obviously

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Speaker 1: mcrat's strategy is to try to pressure and shame Republicans

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Speaker 1: into helping them. That's not going to work. Mitch McConnell

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Speaker 1: out with his latest statement, and listen, Republicans are certainly

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Speaker 1: at fault here as well. But in fairness, they have

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Speaker 1: been saying since July, we're not helping y'all with this,

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Speaker 1: and I don't know what would have made the Democrats

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Speaker 1: think otherwise. Let's throw Mitch McConnell's statement up here on

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Speaker 1: the screen. Is a long ladder, et cetera, et cetera,

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Speaker 1: But here's a key paragraph. He says, by Parson, is

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Speaker 1: not a light switch that Speaker Pelosi and Leader Shumer

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Speaker 1: may flip on to borrow money and flip off to

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Speaker 1: spend it. Again, that's not what the dead seiling is about, okay.

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Speaker 1: Put that aside. Republicans' position is simple. We have no

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Speaker 1: list of demands for two and a half months. We

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Speaker 1: have simply warned that since your party wishes to govern

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Speaker 1: alone and must handle the dead limit alone as well,

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Speaker 1: Republicans are not coming to the rescue on this. And

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Speaker 1: if we can throw the next element up here on

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Speaker 1: the screen, Biden is also saying, Hey, I don't think

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Speaker 1: the reconciliation route is going to work out here, So

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Speaker 1: you're essentially at a complete impasse. To read this, and

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Speaker 1: says Biden rejects McConnell's ass as using reconcilition for the

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Speaker 1: debt ceiling is an incredibly complicated, cumbersome process. He says

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Speaker 1: it would require a voterama with up to hundreds of votes.

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Speaker 1: He says the Senate should pass the clean House approved

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Speaker 1: debt limit extension. I think there's a cent sagur that

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Speaker 1: Washington is like the boy who cried Wolf. We've had

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Speaker 1: so many of these crises and governments shut down threats

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Speaker 1: and coming right up to the edge of the brink

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Speaker 1: of the debt ceiling and having to take extraordinary measures

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Speaker 1: to keep from breaching it, and in the end they

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Speaker 1: always figure out some way to do the bare minimum

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Speaker 1: of what is required of them. I think people still

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Speaker 1: have a sense that that is going to be the case.

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Speaker 1: But as of this morning, the three possible roots to

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Speaker 1: lifting the debt ceiling have effectively been ruled out. The

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Speaker 1: very latest is that Treasury Secretary Jenny Yellen is saying

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Speaker 1: she's trashing the coin right, the minting the coin idea.

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Speaker 1: So I don't know exactly how they're going to get

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Speaker 1: themselves out of this way. This isn't a joke. This

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Speaker 1: could be a real catastrophe. Yeah, it's really serious. And

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Speaker 1: you know, we've both seen I think multiple debt limit crises.

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Speaker 1: They generally do figure it out. But here's what people

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Speaker 1: don't seem to understand. Biden and the Democrats in particular,

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Speaker 1: they keep trying to go with, well, this was Trump spending. Listen,

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Speaker 1: nobody cares, like they know they're being hypocritical, and they

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Speaker 1: don't care. I was reading this morning that Jimmich McConnell

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Speaker 1: was talking about, how, you know what the number one

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Speaker 1: goal in all this it's not to win anything. It's chaos.

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Speaker 1: And I've said this here on the show, which is

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Speaker 1: that at the end of the day, the American people

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Speaker 1: generally were going to blame the person in charge, especially

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Speaker 1: the party in power, if they see an absolute catastrophe

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Speaker 1: economic crisis. You can say, oh, blame the Republicans all

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Speaker 1: you want, even though it is kind of true and

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Speaker 1: it's not gonna happen. Just I want to be very clear. Yeah,

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Speaker 1: two people are also completely weaponizing the debt ceiling. As

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Speaker 1: you point out, it's a complicated financial maneuver and archaic

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Speaker 1: thing that comes across, you know, technically from congressional power

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Speaker 1: of the purse. But here's the problem. If we breach

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Speaker 1: the debt ceiling, it actually would spark a constitutional crisis

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Speaker 1: because then the Treasury Department would be deciding what institutional

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Speaker 1: government programs to spend and not Congress has the power

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Speaker 1: of the purse. They decide what to spend money on

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Speaker 1: and what not to the Treasury Department should not have

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Speaker 1: the ability to discern what gets paid and what's not.

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Speaker 1: So that's one argument that's out of the question. Two

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Speaker 1: is they try to bring it back to spending irresponsible whatever.

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Speaker 1: Really what it is, this entire thing is it is

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Speaker 1: a gimmick that is related to accounting and on the

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Speaker 1: backs of which we have architected the global financial system. Now,

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Speaker 1: I don't want to scare you, but that is really

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Speaker 1: how fragile things are. One of the reasons why I'm

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Speaker 1: also totally in favor of minting the coin is and

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Speaker 1: I love this. People are like, there, how can a

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Speaker 1: conservative It has nothing to do with increasing circulation of money.

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Speaker 1: Even if you buy all of that nothing. It's not quantitative,

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Speaker 1: using nothing. It is simply moving federal accounting dollars from

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Speaker 1: one side of a balance sheet to the other, such

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Speaker 1: that the Treasury Department that can sell bonds such that

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Speaker 1: we can then pay our bills. That's it. That's nothing.

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Speaker 1: It's something that we do literally every single day. We

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Speaker 1: just relied on Congress to do this. And the Biden

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Speaker 1: administration and the Chuck Schumer, all of them are fools

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Speaker 1: because they seem to believe that they can use public

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Speaker 1: pressure to pressure the Republicans to cave. They're not going

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Speaker 1: to do it. Have you lived in Washington, but like

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Speaker 1: whatever made you think? Right? I mean, the biggest error

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Speaker 1: here was not putting the lifting of the debt limit,

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Speaker 1: the debt ceiling in the initial reconciliation exactly. And the

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Speaker 1: reason they didn't do it was because, and I think

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Speaker 1: that this political calculus is stupid too. They were worried

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Speaker 1: that this would be used as some talking point against

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Speaker 1: vulnerable Democrats, et cetera, et cetera. John Yarmouth, who's the

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Speaker 1: Chair of the House Budget canede what he's been suggesting

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Speaker 1: is just lifted to some ridiculous a google plex or whatever,

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Speaker 1: some ridiculous number, ridiculously high. So it's done and you

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Speaker 1: never have to deal with this again. And are they

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Speaker 1: really going to add run ads that say so and

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Speaker 1: so voted for a google plex of debt. It sounds stupid,

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Speaker 1: It sounds ridiculous, and ultimately, I just don't think that

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Speaker 1: that's what's going to be the lynchpin of Democrats being

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Speaker 1: able to hold the House next year, which they're not

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Speaker 1: going to be able to do anyway. So it's an

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Speaker 1: incredibly stupid series of events. There's no heroes here. Everyone's

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Speaker 1: to blame. And Joe Wisenthal, who if you want to understand,

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Speaker 1: he's been great about explaining these issues. He also is

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Speaker 1: a hashtagment the coin Advocate. He says, you can't believe

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Speaker 1: that the meteor is headed to crash into our economy,

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Speaker 1: which is what Potus said about the debt ceiling. He said,

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Speaker 1: it's so dire, it's like a meteor is headed to

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Speaker 1: crash into our economy. Wisenthal says, you can't believe that's

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Speaker 1: the case and then not be willing to go coin.

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Speaker 1: A meteor is crashing into the economy. We're all about

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Speaker 1: to be destroying. The ensuing dusty explosion that blots out

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Speaker 1: the sun. A simple law on the books would avert

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Speaker 1: the disaster if it were used, but norms so we can't.

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Speaker 1: It actually reminds him of I talked to Saroda last

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Speaker 1: week about this movie that he's involved co wrote with

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Speaker 1: Adam McKay. It's called Don't Look Up. That's coming out

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Speaker 1: this December, and the whole plot of the movie is

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Speaker 1: what if a meteor was actually crashing into the Earth

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Speaker 1: and were so dysfunctional that you actually can't even get

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Speaker 1: anyone to care or do anything about it. Definitely would

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Speaker 1: be the case. That's a reality show, yeah right, and

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Speaker 1: like here we are, this is like the real world

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Speaker 1: equivalent of it. It's over the dumbest possible thing, but

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Speaker 1: with these incredibly dire consequences. So it's a stupid and

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Speaker 1: arbitrary problem, but the consequences of breaching this thing are

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Speaker 1: incredibly incredibly serious. Janet Yellen said she would be certain

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Speaker 1: that this would lead to a recession within days or weeks.

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Speaker 1: Business Insider here's a headline with a report from Moody's.

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Speaker 1: I decided this in my monologue as well, could cost

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Speaker 1: Americans fifteen trillion dollars six million jobs. They also talk

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Speaker 1: about the stock market would be in free fall. And

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Speaker 1: then think of all of the people who depend for

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Speaker 1: their livelihood or for their basic subsistence on the federal government.

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Speaker 1: You're talking about people who depend on food stamps or

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Speaker 1: other assistance. You're also talking about service men and women.

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Speaker 1: Are they going to get their paychecks? All of civil servants?

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Speaker 1: Of course, will they get their paychecks? Social Security payments?

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Speaker 1: These are real people, serious gigantic medical issues. You know,

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Speaker 1: I could go on, right, I just imagine sending the

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Speaker 1: economy into a massive recession for really no reason over

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Speaker 1: dumb DC dysfunction, posturing game of chicken, and again, you know,

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Speaker 1: I think that they probably will figure out a way

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Speaker 1: to avert this because the consequences are so dire. But

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Speaker 1: I just have so little faith in any of these people,

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Speaker 1: and they keep ruling out every single possible avenue out

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Speaker 1: of it. So that's where we are. We deserve this crystal,

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Speaker 1: we really do, which is that we deserve the Republican

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Speaker 1: opposition that we have. We deserve the democratic leadership who

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Speaker 1: is like, we won't change the rules to avoid a

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Speaker 1: dramatic disaster. And look, you can even be for the fillbuster.

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Speaker 1: You can change the filibuster selectively on the debt ceiling.

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Speaker 1: They could change that tomorrow refusing they're refusing to do that.

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Speaker 1: By the way, everyone would be happy. Republicans always just

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Speaker 1: suspend the debt ceiling whenever they're in power. Okay, so nuked,

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Speaker 1: you know, fine, who cares. Oh, but we have to

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Speaker 1: preserve the rules on this particular one. Oh well, then

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Speaker 1: we could also do it in reconciliation. They're like, nah,

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Speaker 1: we don't want to do that because we don't want

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Speaker 1: to stay here and vote. That is literally the justification is, Oh,

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Speaker 1: but then we'd have to stay up all night and vote.

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Speaker 1: Oh but is it a crisis or not? So they say,

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Speaker 1: Mitch McConnell, you have to do it. Biden saying, actually, no,

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Speaker 1: I can't guarantee whatsoever that we will extend the debt ceiling.

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Speaker 1: The Dow Jones is already down a thousand points in

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Speaker 1: the last month. We've dropped three hundred yesterday, largely due

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Speaker 1: to the debt sealing crisis. Now, look, personally, if I

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Speaker 1: was the cynic, I think that's probably the only thing

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Speaker 1: that might save us is if Jamie Diamond and the

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Speaker 1: Goldman sacks guys, I'll start getting on the phone to

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Speaker 1: Mitch McConnell and they're like, listen, and you've got to

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Speaker 1: figure this thing out. Maybe. But even then, like I said,

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Speaker 1: an economic crash is great for the Republicans. And I'm

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Speaker 1: speaking crassly here. I do not wish this upon anyone

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Speaker 1: but pure politics. The shutdown against Obama that worked, the

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Speaker 1: shutdown against Trump that also worked. Democrats won whenever it

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Speaker 1: was Trump and Republicans one whenever it was Obama. People

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Speaker 1: blame the people in charge. They don't follow all this nonsense.

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Speaker 1: They don't even know what the debt ceiling is. And

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Speaker 1: you know what, they wouldn't be wrong to blai. They

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Speaker 1: wouldn't wait a hunred percent wrong here though, because the

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Speaker 1: Republicans are assholes like y'all know that. That's not a surprise.

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Speaker 1: Where have you been for the past decade? You thought

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Speaker 1: they were going to help you on your little problem here.

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Speaker 1: It's a ridiculous notion. Democrats had in their hands the

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Speaker 1: tools to deal with this, so we don't have this

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Speaker 1: period of uncertainty, potential chaos, potential massive recession. They had

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Speaker 1: the tools in their hand to do. They still have

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Speaker 1: the tools in their hand to do that. They're just

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Speaker 1: choosing not to use those tools because they like another

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Speaker 1: tool better. It is incredibly stupid. I think you're absolutely right. Politically,

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Speaker 1: Democrats are in charge of us, and see the Senate

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Speaker 1: in the House. Who do you think that American people

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Speaker 1: are going to blame you. They don't know what filmbuster is.

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Speaker 1: They don't care. You know, it's like this happens every

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Speaker 1: single time. And you know what I really think about

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Speaker 1: during our AMA last week, we had somebody write in

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Speaker 1: who was a nurse who was like, Hey, I dependent

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Speaker 1: on my four oh one k. Yeah, retire, I want

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Speaker 1: to retire. Yeah, these are that's what's happening here. They're

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Speaker 1: screwing around with your retirement with a lot of the

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Speaker 1: people who do are lucky enough or whatever to own

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Speaker 1: securities and stocks but don't have you know, the grand

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Speaker 1: whatever ability to sway the market. That's who's going to

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Speaker 1: get screwed. You drop a thousand points, it's going to

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Speaker 1: screw people's jobs, payments. They're four to oh one k's.

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Speaker 1: This is serious stuff. Yeah, well, and the consequences are

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Speaker 1: way beyond the stock market even I mean, you're talking

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Speaker 1: about massive job losses. You're talking about payments that aren't

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Speaker 1: going out. I mean, this is and of course, any

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Speaker 1: time the economy is sick, anytime we have a downturn,

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Speaker 1: always the people who get hit the hardest are those

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Speaker 1: who have the least working class Americans would bear the

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Speaker 1: brunt of the failures of the elite last once again,

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Speaker 1: and so that's what we're looking at this morning, and

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Speaker 1: again not a really clear path insight in terms of

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Speaker 1: how this ultimately gets involved. I remember people died during recessions,

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Speaker 1: A lot, a lot of people come in suicide. It's horrible.

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Speaker 1: I remember two thousand and eight was one of the

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Speaker 1: worst periods and actually spawned a significant increase in mortality.

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Speaker 1: So I want people to realize that that's what they're

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Speaker 1: doing here, and it's a damn shame. Let's get to

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Speaker 1: a much less serious story, but still pretty interesting and important. Nonetheless,

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Speaker 1: Facebook was down for six to seven hours yesterday. That

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Speaker 1: not just included Facebook dot Com, which is one of

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Speaker 1: the second most visited websites in the world. It also

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Speaker 1: included because they own it, WhatsApp and Instagram. Interesting little

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Speaker 1: monopolistic view, and also happened right after a sixty minutes special.

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Speaker 1: We have no idea if these two things are connected.

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Speaker 1: Whatsoever in which a whistleblower talked about Facebook's the way

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Speaker 1: it works inside, and what she thinks are some of

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Speaker 1: the social pathologies that it's unleashing upon the country. Let's

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Speaker 1: take a listen. Facebook is a one trillion dollar company

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Speaker 1: just seventeen years old. It has two point eight billion users,

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Speaker 1: which is sixty percent of all Internet connected people on Earth.

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Speaker 1: Francis Hogan plans to testify before Congress this week. She

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Speaker 1: believes the federal government should impose regulations Facebook is demonstrated

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Speaker 1: they cannot act independently. Facebook over and over again has

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Speaker 1: shown it chooses profit over safety. It is subsidizing, is

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Speaker 1: paying for its profits with our safety. I'm hoping that

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Speaker 1: this will have had a big enough impact on the

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Speaker 1: world that they get the fortitude and the motivation to

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Speaker 1: actually go put those regulations into place. That's my home,

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Speaker 1: so that's what we have here. She was talking about

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Speaker 1: algorithmic changes, a lot of these investigations in the Wall

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Speaker 1: Street Journal, and interestingly enough, Crystal that comes out and

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Speaker 1: then immediately we have a site wide blackout for several hours.

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Speaker 1: Anybody who's read a little bit about Mark Zuckerberg knows

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Speaker 1: that he was actually literally obsessed with creating the website

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Speaker 1: and keeping it online, saying every minute that we're down,

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Speaker 1: we're losing money, people are getting off. So you can

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Speaker 1: imagine him having a basically a brain a. In your

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Speaker 1: answer yesterday, it's fair to say it was so rough

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Speaker 1: that his competitor, Jack Dorsey dunked on him whenever Facebook

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Speaker 1: dot Com appeared for sale in some because it's DNS

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Speaker 1: wasn't working. Let's put us up there on the screen.

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Speaker 1: Check this out. The website itself was not working, and

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Speaker 1: what you can see there repeatedly is that Facebook dot

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Speaker 1: Com was opened for was literally for sale on the

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Speaker 1: open Internet, Jack Dorsey joking how much. And then people

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Speaker 1: literally could not get into the building because the Internet

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Speaker 1: of Things govern all of their stuff. And then those

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Speaker 1: who were in the building were not able to crystal

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Speaker 1: in order to get into the conference rooms because their

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Speaker 1: badges weren't work. So it was a total and complete collapse.

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Speaker 1: Other people pointed out that one of the reasons may

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Speaker 1: have taken so long in order to get back online

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Speaker 1: is because they would not be able to get into

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Speaker 1: the server room, and the server room is deeply you know,

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Speaker 1: it's secure cold storage like all of that. So that's

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Speaker 1: actually that was the last that I read this morning,

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Speaker 1: that that was in fact the case, that what they

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Speaker 1: had to do was We've got precious little details now

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Speaker 1: right now about exactly what all went wrong, but that

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Speaker 1: once they gained access to the server room and reset

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Speaker 1: the servers, they were good to go. So it was

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Speaker 1: literally like they needed to turn it off and turn

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Speaker 1: it on, but they had to get to the thing.

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Speaker 1: They didn't get to the plug at least. That's that.

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Speaker 1: Those are some of the details coming out this morning.

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Speaker 1: I want to say I was personally gravely impacted by

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Speaker 1: this outage. Brianna Joy Gray and I played pickleball yesterday.

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Speaker 1: We took a great photo. I really wanted to put

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Speaker 1: it on Instagram, and I was daid at least four

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Speaker 1: hours in my ability to to do that. So this

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Speaker 1: had devastating impact on me personally. But Kenning aside, WhatsApp

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Speaker 1: is not as popular in the US, but other countries

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Speaker 1: around the world, Latin America in particular. I mean, this

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Speaker 1: is the mode of communication. You have businesses that depend

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Speaker 1: on some of these services, Like there are places where

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Speaker 1: Facebook is still cool and used by everybody and actually matters,

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Speaker 1: I mean Instagram, their whole businesses run off. Absolutely, So

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Speaker 1: this had had real impacts. And I think a lot

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Speaker 1: of what you know, of course we've already realized this,

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Speaker 1: but a lot of what this makes you realize is, hey,

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Speaker 1: maybe it's not a great idea to allow these giant

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Speaker 1: tech monopolies to have complete control over multiple critical modes

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Speaker 1: of communication. Maybe that wasn't the best idea to let

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Speaker 1: that ultimately happen when you see how fragile apparently they

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Speaker 1: ultimately are. That they were trying to make some sort

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Speaker 1: of back end change. I'm not a tech person, I

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Speaker 1: have no idea what any of this means. But in

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Speaker 1: making that back end change, they screwed something up and

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Speaker 1: it brought the whole system crashing down and they could

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Speaker 1: not resolve it for seven hours or something like that. Well,

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Speaker 1: so I did some more reading on this, and actually

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Speaker 1: we got very lucky here because of Facebook shortage. Look

428
00:23:16,720 --> 00:23:19,800
Speaker 1: at the end of the day, Facebook's not critical infrastructure, right, Like, yes,

429
00:23:19,920 --> 00:23:22,800
Speaker 1: I agree, WhatsApp. I know many people in India, Asia,

430
00:23:23,160 --> 00:23:27,440
Speaker 1: Latin America, all across Europe, everybody uses WhatsApp, completely understand,

431
00:23:27,480 --> 00:23:29,800
Speaker 1: but that was you know, you still have the ability

432
00:23:29,840 --> 00:23:32,320
Speaker 1: to send an SMS or a text message. Here's what

433
00:23:32,359 --> 00:23:35,879
Speaker 1: would have happened if we had lost say Amazon Web Services.

434
00:23:36,240 --> 00:23:38,280
Speaker 1: They say that the costs would have been in the

435
00:23:38,400 --> 00:23:41,159
Speaker 1: hundreds of billions, if not trillions of dollars. And the

436
00:23:41,200 --> 00:23:43,000
Speaker 1: reason why is that we would not have been able

437
00:23:43,040 --> 00:23:46,439
Speaker 1: to process credit card transactions. So imagine that if we

438
00:23:46,520 --> 00:23:49,840
Speaker 1: saw single point of failure that just Amazon Web Services

439
00:23:49,880 --> 00:23:52,800
Speaker 1: and not even necessarily all of AWS, just the part

440
00:23:52,800 --> 00:23:56,199
Speaker 1: which houses those particular transactions or the ability for the

441
00:23:56,200 --> 00:23:58,239
Speaker 1: servers in order to have all that stuff. If that

442
00:23:58,320 --> 00:24:00,800
Speaker 1: went down, you could have lost it brillion dollars in

443
00:24:01,520 --> 00:24:04,719
Speaker 1: commerce in a single day. And it's this is our

444
00:24:04,880 --> 00:24:08,280
Speaker 1: the entire US economy, especially in the tech sector, huge

445
00:24:08,440 --> 00:24:11,679
Speaker 1: single points of failure, where if it goes down and

446
00:24:11,720 --> 00:24:14,560
Speaker 1: then they have all these redundancies built in because hey,

447
00:24:14,640 --> 00:24:16,359
Speaker 1: the servers are the most important things, so you've got

448
00:24:16,400 --> 00:24:19,280
Speaker 1: to protect them. But behind walls of security. Oh well,

449
00:24:19,320 --> 00:24:21,040
Speaker 1: then the whole thing goes down and now you can't

450
00:24:21,040 --> 00:24:23,359
Speaker 1: get into the room for the server. What are you

451
00:24:23,400 --> 00:24:25,879
Speaker 1: going to do now? They claim, And Facebook has claimed

452
00:24:25,880 --> 00:24:30,000
Speaker 1: they've probably spent billions of dollars on server farms. They

453
00:24:30,040 --> 00:24:33,840
Speaker 1: don't want any they don't want any reliance on other

454
00:24:34,000 --> 00:24:36,200
Speaker 1: networks that they have to contract out, so they run

455
00:24:36,240 --> 00:24:38,600
Speaker 1: it all in house and that's fine. So they've spent

456
00:24:38,680 --> 00:24:40,639
Speaker 1: a lot of money trying to build up the secure

457
00:24:40,680 --> 00:24:44,480
Speaker 1: thing specifically so that this situation never goes down. This

458
00:24:44,880 --> 00:24:48,160
Speaker 1: site short shutdown alone probably costs Facebook in the hundreds

459
00:24:48,200 --> 00:24:51,280
Speaker 1: of millions of dollars range basically rounding error actually if

460
00:24:51,320 --> 00:24:54,639
Speaker 1: you think about their trillion dollar value. But like I said,

461
00:24:54,760 --> 00:24:57,840
Speaker 1: it's a preview of how easy it would be in

462
00:24:57,960 --> 00:25:00,919
Speaker 1: order to shut down life in a single second. If

463
00:25:00,920 --> 00:25:03,600
Speaker 1: this had been Google, or if it has been Google,

464
00:25:03,600 --> 00:25:06,280
Speaker 1: People's phones won't work. People who have Android or rely

465
00:25:06,400 --> 00:25:09,000
Speaker 1: on the Google server Gmail. Imagine if Gmail went down

466
00:25:09,600 --> 00:25:13,520
Speaker 1: any of these very critical communications infrastructures that we have.

467
00:25:13,600 --> 00:25:16,040
Speaker 1: And you know, it's just it's a very scary reminder

468
00:25:16,280 --> 00:25:18,920
Speaker 1: of how reliant we are on the technology and what

469
00:25:19,000 --> 00:25:22,080
Speaker 1: monopolization in the space can and can look like and

470
00:25:22,160 --> 00:25:24,000
Speaker 1: can have an impact on your life, Like why should

471
00:25:24,000 --> 00:25:26,359
Speaker 1: you hear well, you know yesterday you keep it refreshing

472
00:25:26,400 --> 00:25:29,040
Speaker 1: your Instagram feed, You're not going to get anything. Monopolies

473
00:25:29,080 --> 00:25:34,200
Speaker 1: make our entire economy and society extremely fragile. That's that's

474
00:25:34,200 --> 00:25:37,240
Speaker 1: what you get that during COVID. I mean, this ultimately

475
00:25:37,400 --> 00:25:39,560
Speaker 1: wasn't the biggest deal in the world, but what it

476
00:25:39,600 --> 00:25:42,760
Speaker 1: reveals is that because we've allowed and not just in

477
00:25:42,800 --> 00:25:46,440
Speaker 1: the tech sector, effectively in every single sector of American society,

478
00:25:46,760 --> 00:25:50,920
Speaker 1: we've allowed these giant monopolies to flourish. And that makes

479
00:25:51,000 --> 00:25:54,399
Speaker 1: us extraordinarily fragile. It's part of why we're having some

480
00:25:54,440 --> 00:25:58,359
Speaker 1: of these supply chain issues. It's part of why farmers

481
00:25:58,480 --> 00:26:03,200
Speaker 1: are so screwed, family farmer across the country. It's part

482
00:26:03,200 --> 00:26:06,359
Speaker 1: of why you have, you know, critical modes of communication,

483
00:26:06,600 --> 00:26:10,200
Speaker 1: critical choke points in terms of economic activity. It makes

484
00:26:10,280 --> 00:26:13,960
Speaker 1: us really, really fragile. That's kind of the bottom line here. Also,

485
00:26:14,040 --> 00:26:15,520
Speaker 1: by the way, I think we've got a Bloomberg tear

486
00:26:15,560 --> 00:26:19,720
Speaker 1: sheet Zuckerberg again to his having a bad day. Zuckerberg

487
00:26:19,800 --> 00:26:24,160
Speaker 1: lost six billion dollars in just a few hours as

488
00:26:24,160 --> 00:26:27,120
Speaker 1: Facebook lone. Just I think he's gonna be okay, Yeah,

489
00:26:27,160 --> 00:26:31,399
Speaker 1: he'll be fine. It says he dropped to number five

490
00:26:31,680 --> 00:26:34,280
Speaker 1: on the list of the world's richest. Now he's below

491
00:26:34,359 --> 00:26:38,399
Speaker 1: Bill Gates. So rough day for him. But you know,

492
00:26:39,600 --> 00:26:43,800
Speaker 1: the other unfortunate impact of all of this for Facebook

493
00:26:43,920 --> 00:26:46,280
Speaker 1: is I do think it called even more attention to

494
00:26:46,640 --> 00:26:50,720
Speaker 1: this whistleblower and the files that she brought for and

495
00:26:50,760 --> 00:26:53,280
Speaker 1: what she said about the company, and I've been reading this.

496
00:26:53,359 --> 00:26:56,120
Speaker 1: I did a monologue on one aspect of what she revealed,

497
00:26:56,119 --> 00:27:01,159
Speaker 1: which is that they knowingly intentionally created a system to

498
00:27:01,359 --> 00:27:04,480
Speaker 1: let elites effectively post whatever they want on the platform

499
00:27:04,720 --> 00:27:08,560
Speaker 1: and face no consequences whatsoever, because they know that their

500
00:27:08,720 --> 00:27:12,359
Speaker 1: algorithm for censorship is so screwed up that they didn't

501
00:27:12,359 --> 00:27:16,320
Speaker 1: want to have some sort of high profile pr problem. Yeah,

502
00:27:16,400 --> 00:27:19,120
Speaker 1: if an elite gets censored for something stupid, So they

503
00:27:19,119 --> 00:27:21,560
Speaker 1: basically are just like, well, we'll just have this gigantic

504
00:27:21,600 --> 00:27:24,880
Speaker 1: class of people that don't really get treated the same

505
00:27:24,880 --> 00:27:27,960
Speaker 1: way as everybody else on the platform, which is different

506
00:27:28,160 --> 00:27:30,000
Speaker 1: than what they've said in public. I mean, they've lied

507
00:27:30,000 --> 00:27:33,439
Speaker 1: to the public about that. Another thing that she revealed.

508
00:27:33,720 --> 00:27:36,520
Speaker 1: It's easy to take from her comments like, oh, she's just,

509
00:27:36,640 --> 00:27:39,159
Speaker 1: you know, on the liberal side of more censorship, but

510
00:27:39,280 --> 00:27:42,280
Speaker 1: what she actually revealed was more interesting than that and

511
00:27:42,359 --> 00:27:44,639
Speaker 1: actually made me think a little bit harder about the

512
00:27:44,680 --> 00:27:47,159
Speaker 1: problem with Facebook and all of these social media companies

513
00:27:47,240 --> 00:27:52,520
Speaker 1: which Back in twenty eighteen, Facebook changed their algorithm. Their

514
00:27:52,560 --> 00:27:56,040
Speaker 1: business was not doing well. Profitability and all that stuff

515
00:27:56,119 --> 00:27:58,679
Speaker 1: was great, and they're gigantic and all of that, but

516
00:27:58,720 --> 00:28:03,400
Speaker 1: they could see their key metrics were plunging in terms

517
00:28:03,440 --> 00:28:06,919
Speaker 1: of people posting new content, in terms of people liking content,

518
00:28:07,000 --> 00:28:10,320
Speaker 1: in terms of people sharing content. Effectively, the platform was

519
00:28:10,359 --> 00:28:12,760
Speaker 1: getting kind of stale and old and dead, and people

520
00:28:12,800 --> 00:28:15,119
Speaker 1: were not using it. They were still on it, but

521
00:28:15,160 --> 00:28:17,040
Speaker 1: they weren't engaged with it. They were just sort of

522
00:28:17,040 --> 00:28:19,760
Speaker 1: like zombies sitting there scrolling and not really engaging with

523
00:28:19,800 --> 00:28:23,680
Speaker 1: the content. So they freaked out and they changed their algorithm.

524
00:28:24,000 --> 00:28:26,600
Speaker 1: And what they did in changing the algorithm was to

525
00:28:26,600 --> 00:28:29,520
Speaker 1: make sure that what you're seeing in your feed is

526
00:28:29,560 --> 00:28:36,080
Speaker 1: the most salacious content, the most sort of outrageous content

527
00:28:36,720 --> 00:28:39,880
Speaker 1: that would it's it would elicit an emotion from you

528
00:28:39,960 --> 00:28:42,440
Speaker 1: and make you angry, right, so that would make you

529
00:28:42,880 --> 00:28:45,280
Speaker 1: want to comment, want to dislike, want to share and

530
00:28:45,320 --> 00:28:48,520
Speaker 1: say this is outrageous, and all of that. And they

531
00:28:48,600 --> 00:28:52,760
Speaker 1: knew at Facebook that this was having profoundly negative consequences.

532
00:28:52,960 --> 00:28:56,800
Speaker 1: They even knew and this is really interesting that people

533
00:28:57,040 --> 00:29:01,560
Speaker 1: liked their Facebook experience less after these changes because they

534
00:29:01,560 --> 00:29:04,240
Speaker 1: didn't like that this was like super agitating them. It

535
00:29:04,280 --> 00:29:06,719
Speaker 1: was making people angry and upset when they're going on

536
00:29:06,720 --> 00:29:09,600
Speaker 1: Facebook instead of the sort of like warm fuzzies, let

537
00:29:09,600 --> 00:29:11,400
Speaker 1: me look at my old photos or whatever they used

538
00:29:11,400 --> 00:29:14,640
Speaker 1: to have on Facebook. But it did drive a lot

539
00:29:14,680 --> 00:29:18,280
Speaker 1: more engagement. And so part of what that made me

540
00:29:18,440 --> 00:29:22,480
Speaker 1: realize that so much of what has led to Facebook

541
00:29:22,720 --> 00:29:26,160
Speaker 1: being such a cesspool and the worst voices having the

542
00:29:26,240 --> 00:29:31,680
Speaker 1: largest platforms oftentimes is intentional changes that Facebook made to

543
00:29:31,760 --> 00:29:35,600
Speaker 1: their algorithm. They're not unique in this right, because effectively

544
00:29:36,160 --> 00:29:38,920
Speaker 1: all of these companies, by being driven solely by the

545
00:29:38,920 --> 00:29:42,200
Speaker 1: profit motive, which they're never going to not do, they

546
00:29:42,280 --> 00:29:47,040
Speaker 1: have leaned into promoting this sort of agitating worst case

547
00:29:47,120 --> 00:29:49,800
Speaker 1: material that has a lot of follow on effects. And

548
00:29:49,800 --> 00:29:52,120
Speaker 1: again they knew that this was the consequence. They knew

549
00:29:52,120 --> 00:29:54,680
Speaker 1: this was the consequence, and they put some safeguards in

550
00:29:54,720 --> 00:29:58,239
Speaker 1: place during the election, during the twenty twenty election that

551
00:29:58,280 --> 00:30:01,920
Speaker 1: they then immediately took off after twenty twenty election. And

552
00:30:01,960 --> 00:30:04,200
Speaker 1: so they knew that this was going on, they knew

553
00:30:04,200 --> 00:30:06,920
Speaker 1: it was having these terrible effects. They give an example

554
00:30:06,960 --> 00:30:09,760
Speaker 1: two of or the s whistleblower, who I think is

555
00:30:09,840 --> 00:30:13,760
Speaker 1: very courageous, actually, Francis Hogan. She gives an example of

556
00:30:14,040 --> 00:30:17,720
Speaker 1: the way that this ripples throughout society and throughout our

557
00:30:17,760 --> 00:30:24,600
Speaker 1: media ecosystem. BuzzFeed CEO had sent them a message saying, effectively,

558
00:30:24,680 --> 00:30:27,000
Speaker 1: like the stuff that used to get shared a lot

559
00:30:27,200 --> 00:30:30,680
Speaker 1: was like things about self care and wellness and these

560
00:30:30,680 --> 00:30:33,680
Speaker 1: sort of like fluffy pupuaah like that sort of stuff

561
00:30:33,760 --> 00:30:36,400
Speaker 1: used to go viral, and now what will go viral

562
00:30:36,680 --> 00:30:40,200
Speaker 1: is they use the example of what was it called

563
00:30:40,320 --> 00:30:43,200
Speaker 1: twenty one things that almost all white people are guilty

564
00:30:43,200 --> 00:30:46,640
Speaker 1: of saying that goes viral. And it's basically and this

565
00:30:46,680 --> 00:30:50,160
Speaker 1: is the email from Jonah Peretti, who's the CEO of BuzzFeed.

566
00:30:50,400 --> 00:30:53,200
Speaker 1: He says, mostly it's people just yelling at each other

567
00:30:53,280 --> 00:30:55,960
Speaker 1: in the comments about race, yelling at BuzzFeed for having

568
00:30:56,000 --> 00:30:58,440
Speaker 1: written in the first place. And it was that angry

569
00:30:58,520 --> 00:31:02,120
Speaker 1: comment frenzy that propelled the virality. So when you have

570
00:31:02,320 --> 00:31:05,600
Speaker 1: that sort of incentive structure within these social media platforms,

571
00:31:05,960 --> 00:31:08,240
Speaker 1: guess what media outlets are going to lean into because

572
00:31:08,240 --> 00:31:10,640
Speaker 1: they're also looking at the bottom line, so they're not stupid.

573
00:31:10,920 --> 00:31:13,520
Speaker 1: So BuzzFeed is going to do more things like that

574
00:31:13,520 --> 00:31:16,800
Speaker 1: that are tearing at people and poking and making them

575
00:31:16,800 --> 00:31:20,000
Speaker 1: angry at each other, making them hate each other. Effectively,

576
00:31:20,280 --> 00:31:24,160
Speaker 1: this change in the algorithm helped to fuel the insane

577
00:31:24,200 --> 00:31:26,880
Speaker 1: culture war that we face. Now that's part of the problem.

578
00:31:26,960 --> 00:31:29,920
Speaker 1: That's all social media, right, I mean, what is TikTok's innovation.

579
00:31:30,080 --> 00:31:33,880
Speaker 1: TikTok's innovation is time on platform. They've already surpassed Instagram. Really,

580
00:31:33,880 --> 00:31:36,760
Speaker 1: what they have is the most sophisticated algorithm machine learning

581
00:31:36,760 --> 00:31:39,360
Speaker 1: to see what keeps you going. And there have been

582
00:31:39,600 --> 00:31:43,680
Speaker 1: endless investigations about teenagers going down horrible rabbit holes and more.

583
00:31:43,880 --> 00:31:46,120
Speaker 1: And guess what that's like, you said, that's what guests

584
00:31:46,120 --> 00:31:48,960
Speaker 1: people engage. I look at this not as a Facebook problem,

585
00:31:48,960 --> 00:31:52,480
Speaker 1: a TikTok problem. TikTok has issues for other ones, but

586
00:31:53,120 --> 00:31:55,880
Speaker 1: Twitter elsewhere. This is society, like we actually have to

587
00:31:55,880 --> 00:31:58,280
Speaker 1: decide is this okay or willing to deal with this? Well,

588
00:31:58,320 --> 00:32:01,360
Speaker 1: it's I mean, frankly, it's a capit because just like

589
00:32:01,400 --> 00:32:05,400
Speaker 1: in the healthcare system, when profit maximization is the only

590
00:32:05,520 --> 00:32:09,040
Speaker 1: metric well healthcare, if you get decent healthcare, that's like

591
00:32:09,080 --> 00:32:11,760
Speaker 1: an accident, that's a side effect. And it's the same

592
00:32:11,800 --> 00:32:15,480
Speaker 1: thing here. If the only values profit maximization, then you're

593
00:32:15,520 --> 00:32:19,520
Speaker 1: not valuing like having a society where people can co exist.

594
00:32:19,920 --> 00:32:22,400
Speaker 1: That's not a value that's embedded in the system. So

595
00:32:22,440 --> 00:32:24,120
Speaker 1: the other thing that she said, which I thought was

596
00:32:24,160 --> 00:32:26,440
Speaker 1: an interesting and thought provoking point, is she was like,

597
00:32:26,800 --> 00:32:29,720
Speaker 1: don't break up Facebook, because what happens then is you

598
00:32:29,760 --> 00:32:32,760
Speaker 1: have even fewer resources to kind of deal with these problems.

599
00:32:33,080 --> 00:32:35,640
Speaker 1: Her suggestion is transparency, which I don't think would be

600
00:32:35,680 --> 00:32:39,280
Speaker 1: nearly enough. I mean, really, you have to either aggressively

601
00:32:39,360 --> 00:32:43,640
Speaker 1: regulate these companies to force them to value something other

602
00:32:43,720 --> 00:32:46,680
Speaker 1: than just profit maximization, which clearly is leading to a

603
00:32:47,320 --> 00:32:49,640
Speaker 1: possible scenario. You have to nationalize them. I mean, those

604
00:32:49,680 --> 00:32:52,480
Speaker 1: are really the solutions if you want to look at

605
00:32:52,520 --> 00:32:57,920
Speaker 1: creating a better mode of communication. And obviously, look, that's

606
00:32:58,160 --> 00:33:00,280
Speaker 1: very difficult to do, and we don't even have the

607
00:33:00,560 --> 00:33:03,360
Speaker 1: political will to not like default on our dead So

608
00:33:03,360 --> 00:33:05,680
Speaker 1: I'm not whole in my breath here. But the last

609
00:33:05,680 --> 00:33:07,280
Speaker 1: thing that I'll say about this, because I did find

610
00:33:07,280 --> 00:33:11,480
Speaker 1: this all really thought provoking, is Biden and Democrats and

611
00:33:11,520 --> 00:33:15,400
Speaker 1: the people who are really worried about misinformation on these platforms,

612
00:33:15,720 --> 00:33:18,880
Speaker 1: they tend to focus on like the specific actors. There's

613
00:33:18,920 --> 00:33:21,680
Speaker 1: that stat about like I don't know ten people share

614
00:33:21,680 --> 00:33:24,360
Speaker 1: the most vaccinamous information or whatever. So it's all focused

615
00:33:24,400 --> 00:33:27,760
Speaker 1: on these like individual human beings who are putting out

616
00:33:27,800 --> 00:33:30,040
Speaker 1: bad info, and then it leads to these witch hunts

617
00:33:30,040 --> 00:33:32,160
Speaker 1: of like you're wrong thinking and you said something that

618
00:33:32,200 --> 00:33:35,120
Speaker 1: I don't like or whatever. But I think what she

619
00:33:35,360 --> 00:33:37,959
Speaker 1: shows is that this is a lot more systemic. It's

620
00:33:37,960 --> 00:33:43,320
Speaker 1: a lot more Facebook's fault for elevating intentionally and putting

621
00:33:43,400 --> 00:33:45,600
Speaker 1: at the top of their platform and putting into your

622
00:33:45,640 --> 00:33:48,400
Speaker 1: news feed over and over and over again the worst

623
00:33:48,400 --> 00:33:53,320
Speaker 1: possible actors. They did that knowingly, and so again it's

624
00:33:53,320 --> 00:33:56,760
Speaker 1: a lot It's really easy to call out this individual

625
00:33:56,920 --> 00:34:01,760
Speaker 1: random mom or doctor or whatever. It's a lot harder

626
00:34:01,800 --> 00:34:06,640
Speaker 1: to say Facebook tech sector, like you did this intentionally.

627
00:34:07,080 --> 00:34:11,759
Speaker 1: You are fomenting the worst possible actors. Because every has

628
00:34:11,800 --> 00:34:14,440
Speaker 1: a right to like say whatever they think, and I'm

629
00:34:14,560 --> 00:34:18,080
Speaker 1: very much against this sort of censorship direction, but you

630
00:34:18,120 --> 00:34:21,000
Speaker 1: don't have a right to be promoted aggressively in the

631
00:34:21,080 --> 00:34:23,440
Speaker 1: algorithm so that you're served to millions and millions of

632
00:34:23,440 --> 00:34:29,120
Speaker 1: people above other content that may be less sort of agitating, aggravating,

633
00:34:29,239 --> 00:34:31,680
Speaker 1: and ultimately tear us apart. That's the problem there is

634
00:34:31,719 --> 00:34:34,279
Speaker 1: that I always hear liberals make that point and they're like,

635
00:34:34,320 --> 00:34:37,160
Speaker 1: that's why you should promote the Daily Coasts and you

636
00:34:37,200 --> 00:34:40,000
Speaker 1: know whatever, it just becomes a race to the bottom.

637
00:34:40,200 --> 00:34:42,240
Speaker 1: I agree. I mean, look, it's a big systemic problem

638
00:34:42,320 --> 00:34:44,759
Speaker 1: in the tech sector. They have one goal to keep

639
00:34:44,760 --> 00:34:47,040
Speaker 1: you on the platform so they can sell your data

640
00:34:47,120 --> 00:34:49,719
Speaker 1: to advertisers. That's it. Ye, period, So we have to

641
00:34:49,760 --> 00:34:53,480
Speaker 1: decide is I actually think transparency would lead to It's

642
00:34:53,520 --> 00:34:55,480
Speaker 1: not the perfect world, it's not the ideal. So so

643
00:34:55,640 --> 00:34:58,279
Speaker 1: how it would help dramatically in my opinion, because I

644
00:34:58,320 --> 00:35:02,000
Speaker 1: think that the abs elute ability right now for them

645
00:35:02,040 --> 00:35:04,040
Speaker 1: to not do everything in a black box and we

646
00:35:04,120 --> 00:35:06,200
Speaker 1: sit here and debate it. Yeah about oh this to

647
00:35:06,320 --> 00:35:08,759
Speaker 1: get promoted. That that's part of the issue. Well, so

648
00:35:08,920 --> 00:35:11,239
Speaker 1: let me let me say because it's not so much

649
00:35:11,360 --> 00:35:13,560
Speaker 1: like let me pick we're going to promote the Washington

650
00:35:13,600 --> 00:35:15,400
Speaker 1: Post and we're not going to promote the Daily Caller.

651
00:35:15,880 --> 00:35:18,319
Speaker 1: It's they made a choice to promote the thing that

652
00:35:18,400 --> 00:35:22,120
Speaker 1: made people the most angry, right, not a particular political

653
00:35:22,120 --> 00:35:24,960
Speaker 1: ideology or another. So you could make a difference. They

654
00:35:25,040 --> 00:35:28,160
Speaker 1: used to make a different choice about what it was

655
00:35:28,640 --> 00:35:30,880
Speaker 1: that ultimately, and it was more neutral in terms of

656
00:35:30,920 --> 00:35:33,680
Speaker 1: what got served up to people, and it wasn't we're

657
00:35:33,680 --> 00:35:37,640
Speaker 1: going to go for that emotion, whether it's uh, you know,

658
00:35:37,840 --> 00:35:41,320
Speaker 1: left right or center angreen making true or false thing.

659
00:35:42,320 --> 00:35:44,600
Speaker 1: So it's not so much about I'm going to pick

660
00:35:44,600 --> 00:35:47,279
Speaker 1: and prioritize these platforms over that platforms, because I have

661
00:35:47,280 --> 00:35:49,200
Speaker 1: a major issue with that as well. And obviously we

662
00:35:49,200 --> 00:35:51,520
Speaker 1: see what that does on YouTube. Trust me, It's about

663
00:35:51,560 --> 00:35:55,759
Speaker 1: the type of metrics that you're going for. And yeah,

664
00:35:55,800 --> 00:35:57,840
Speaker 1: as long as profit is at the center of this,

665
00:35:58,000 --> 00:36:00,319
Speaker 1: they're going to go for like, let's make this the

666
00:36:00,320 --> 00:36:03,000
Speaker 1: worst possible place we can because that's what they profit

667
00:36:03,080 --> 00:36:06,200
Speaker 1: off of. Terrible. Hey, so remember how we told you

668
00:36:06,280 --> 00:36:09,360
Speaker 1: how awesome premium membership was. Well, here we are again

669
00:36:09,440 --> 00:36:12,000
Speaker 1: to remind you that becoming a premium member means you

670
00:36:12,080 --> 00:36:14,640
Speaker 1: don't have to listen to our constant please for you

671
00:36:14,760 --> 00:36:17,360
Speaker 1: to subscribe. So what are you waiting for? Become a

672
00:36:17,400 --> 00:36:20,359
Speaker 1: premium member today by going to Breakingpoints dot com, which

673
00:36:20,400 --> 00:36:23,640
Speaker 1: you can click on in the show notes. Speaking of profit,

674
00:36:23,920 --> 00:36:27,680
Speaker 1: ill gotten gains and more. This is also tremendously important story.

675
00:36:27,760 --> 00:36:30,839
Speaker 1: So let's put this up there from public citizen, which

676
00:36:30,880 --> 00:36:33,600
Speaker 1: is that the Federal Reserve vice chair traded up to

677
00:36:33,800 --> 00:36:37,960
Speaker 1: five million dollars out of bonds and into stocks one

678
00:36:38,160 --> 00:36:43,640
Speaker 1: day before Chairman Jerome Powell signaled a major policy action. Now,

679
00:36:44,040 --> 00:36:46,200
Speaker 1: you can say a lot of things about this. You

680
00:36:46,239 --> 00:36:49,279
Speaker 1: could say that it is you could say that he

681
00:36:49,520 --> 00:36:53,600
Speaker 1: had an inkling. There's no direct evidence that he was

682
00:36:53,680 --> 00:36:57,440
Speaker 1: even knowledgeable of a situation. But at the very least

683
00:36:57,480 --> 00:37:00,600
Speaker 1: crystal the appearance of corruption, as we all always say,

684
00:37:00,680 --> 00:37:04,080
Speaker 1: is just as pernicious as real corruption itself. These people

685
00:37:04,120 --> 00:37:07,360
Speaker 1: should not be actively strading stocks and bonds. We already

686
00:37:07,360 --> 00:37:10,080
Speaker 1: had the Dallas Federal Reserve guy who had to resign

687
00:37:10,120 --> 00:37:13,240
Speaker 1: because he was making up to one million dollar trades

688
00:37:13,600 --> 00:37:18,480
Speaker 1: on information many information necessarily that he could have profited

689
00:37:18,520 --> 00:37:20,920
Speaker 1: from and knew he was going to profit from whenever

690
00:37:20,960 --> 00:37:24,600
Speaker 1: he made decisions. This is, again, the vice chairman of

691
00:37:24,640 --> 00:37:28,920
Speaker 1: the Federal Reserve up to five million in bonds and stocks.

692
00:37:29,200 --> 00:37:32,520
Speaker 1: And what also always galls me about these things is

693
00:37:32,520 --> 00:37:36,719
Speaker 1: that they are so brazen in their actions that they

694
00:37:36,760 --> 00:37:39,760
Speaker 1: disclose it. All of this has actually come from public

695
00:37:39,760 --> 00:37:44,000
Speaker 1: disclosure forms, from their active portfolios of buying and selling.

696
00:37:44,239 --> 00:37:46,200
Speaker 1: Now Look, I'm not going to say wealthy people or

697
00:37:46,200 --> 00:37:49,560
Speaker 1: whatever can't serve on the federal reserve. Of course, not fine, whatever,

698
00:37:49,840 --> 00:37:52,360
Speaker 1: But I think that at the very least, if you

699
00:37:52,400 --> 00:37:55,480
Speaker 1: were going to have a hand in steering monetary policy,

700
00:37:55,760 --> 00:37:58,880
Speaker 1: you should not be actively trading stocks and bonds whatever

701
00:37:59,120 --> 00:38:01,399
Speaker 1: something in a blind us. Even then, you know, it's

702
00:38:01,440 --> 00:38:05,080
Speaker 1: a little sketchy, as we've seen blind trust, get we

703
00:38:05,160 --> 00:38:08,920
Speaker 1: have seen blind trust be revoked or you know what

704
00:38:09,040 --> 00:38:12,760
Speaker 1: worked around many times in American history, especially amongst presidents

705
00:38:12,800 --> 00:38:15,799
Speaker 1: and elected officials. But at the very least, they don't

706
00:38:15,800 --> 00:38:18,920
Speaker 1: even try to hide what they've been doing. There up

707
00:38:18,960 --> 00:38:22,680
Speaker 1: to five million dollars on potentially non public information. When

708
00:38:22,719 --> 00:38:25,040
Speaker 1: you have a direct hand in shaping the market to

709
00:38:25,120 --> 00:38:28,240
Speaker 1: the tune of hundreds of billions, if not trillions of dollars. Yeah,

710
00:38:28,440 --> 00:38:31,160
Speaker 1: I mean it's hard to wrap your het around, especially

711
00:38:31,280 --> 00:38:33,880
Speaker 1: post two thousand and eight, just how powerful the FED is, yeah,

712
00:38:33,920 --> 00:38:38,520
Speaker 1: and how much it controls our economy. I mean, look,

713
00:38:38,719 --> 00:38:42,160
Speaker 1: central banks at the most basic level, most simplistic level,

714
00:38:42,320 --> 00:38:45,799
Speaker 1: they decide who gets money and how much money, And

715
00:38:46,280 --> 00:38:51,160
Speaker 1: especially after the financial crash, the FED has been extraordinarily aggressive,

716
00:38:51,280 --> 00:38:57,000
Speaker 1: extraordinarily involved extraordinarily important. There actually is not enough focus

717
00:38:57,560 --> 00:39:00,120
Speaker 1: on what the FED is doing or understanding of what

718
00:39:00,160 --> 00:39:03,480
Speaker 1: the FED is doing. Policy is, you know, policy is

719
00:39:03,520 --> 00:39:06,520
Speaker 1: also obviously extremely important and all of that, but on

720
00:39:06,560 --> 00:39:10,200
Speaker 1: a day to day basis, the dudes on Wall Street,

721
00:39:10,200 --> 00:39:13,280
Speaker 1: the CEOs in this country, they are watching every single

722
00:39:13,480 --> 00:39:17,640
Speaker 1: word and every single tiny move that the FED makes

723
00:39:17,800 --> 00:39:23,760
Speaker 1: because it's extraordinarily powerful. So they're supposed to be held

724
00:39:24,360 --> 00:39:28,480
Speaker 1: everyone involved is supposed to be held to extraordinarily high

725
00:39:28,760 --> 00:39:34,880
Speaker 1: standards to avoid even the potential appearance of corruption. So

726
00:39:34,960 --> 00:39:39,360
Speaker 1: when you're talking about moving money around the day before

727
00:39:39,880 --> 00:39:44,680
Speaker 1: a gigantic announcement is made, I mean, this is insane.

728
00:39:44,840 --> 00:39:46,920
Speaker 1: And as you point out, this comes on the heels

729
00:39:46,960 --> 00:39:54,160
Speaker 1: of revelations about two different regional FED presidents in Boston

730
00:39:54,360 --> 00:39:57,120
Speaker 1: and in Dallas. Now, the Boston guy says he resigned

731
00:39:57,120 --> 00:40:01,719
Speaker 1: because of health reasons, but it was right after it

732
00:40:01,760 --> 00:40:04,200
Speaker 1: came out that, you know, he was doing a lot

733
00:40:04,239 --> 00:40:06,720
Speaker 1: of things with regards to real estate, which is another

734
00:40:06,840 --> 00:40:09,200
Speaker 1: market that they can have a lot of influence over.

735
00:40:09,719 --> 00:40:12,880
Speaker 1: So Wall Street Journal revealed this, and next thing, you know,

736
00:40:12,960 --> 00:40:15,000
Speaker 1: he resigns. Again. He says it was health problems, but

737
00:40:15,200 --> 00:40:19,040
Speaker 1: clearly clearly there's a problem here. Clearly there's a big

738
00:40:19,080 --> 00:40:22,080
Speaker 1: problem here. And whether it's actual corruption or whether it's

739
00:40:22,120 --> 00:40:27,920
Speaker 1: just an appearance of corruption, it really doesn't ultimately matter. Apparently,

740
00:40:28,280 --> 00:40:30,759
Speaker 1: you know, Pal's announced is they're going to do an

741
00:40:30,800 --> 00:40:34,080
Speaker 1: investigation and they're going to look into this and what

742
00:40:34,400 --> 00:40:36,520
Speaker 1: else they can do to make sure that you don't

743
00:40:36,560 --> 00:40:40,400
Speaker 1: have these problems. Again, but this is a dramatic and

744
00:40:40,520 --> 00:40:44,560
Speaker 1: incredibly significant failure that will get very very little attention,

745
00:40:45,080 --> 00:40:48,680
Speaker 1: but again shows you the way that these elites just

746
00:40:48,760 --> 00:40:52,839
Speaker 1: think that they can do whatever they want, played by

747
00:40:52,840 --> 00:40:56,000
Speaker 1: a different set of rules. They you know, are quick

748
00:40:56,080 --> 00:41:01,200
Speaker 1: to condemn different segments of elite society, to condemn, you know,

749
00:41:01,320 --> 00:41:04,680
Speaker 1: people who aren't believing them or buying into whatever it

750
00:41:04,719 --> 00:41:06,960
Speaker 1: is that they're trying to sell. But then you have

751
00:41:07,040 --> 00:41:10,839
Speaker 1: instances like this where you go, well, every single how

752
00:41:10,880 --> 00:41:13,440
Speaker 1: is it that every single institution is completely corrupted? In

753
00:41:13,480 --> 00:41:16,880
Speaker 1: this regard that we talked about the judicial system and

754
00:41:16,920 --> 00:41:20,440
Speaker 1: all these judges that we had financial interest in the

755
00:41:20,480 --> 00:41:23,520
Speaker 1: cases that they were ruling on. Of course, Stephen Donziger

756
00:41:23,600 --> 00:41:26,920
Speaker 1: is the case a great case in point there. Obviously,

757
00:41:26,960 --> 00:41:29,320
Speaker 1: we know the way that members of Congress are buying

758
00:41:29,320 --> 00:41:31,440
Speaker 1: and selling stocks, and again, the FEED is supposed to

759
00:41:31,440 --> 00:41:33,440
Speaker 1: be held to not that members of Congress are held

760
00:41:33,480 --> 00:41:35,080
Speaker 1: a very high standard, but the FED is supposed to

761
00:41:35,080 --> 00:41:37,480
Speaker 1: be held to an even higher standard than that. So

762
00:41:37,600 --> 00:41:41,120
Speaker 1: this is just an absolutely dramatic failure. It's either way

763
00:41:41,120 --> 00:41:42,719
Speaker 1: to put it, no other way. It reminds, you know,

764
00:41:42,800 --> 00:41:45,080
Speaker 1: people have such little faith in our institutions. I saw

765
00:41:45,160 --> 00:41:47,839
Speaker 1: Wall Street Journal story about some TikTok kids who all

766
00:41:47,880 --> 00:41:50,640
Speaker 1: they do is follow the trades of Nancy Pelosi and

767
00:41:50,680 --> 00:41:53,480
Speaker 1: of other high profile really Congress and they're beating the market.

768
00:41:53,480 --> 00:41:56,360
Speaker 1: They're like a hedge fund. They're literally like making personal

769
00:41:56,400 --> 00:41:59,719
Speaker 1: trades on the exact same following the stock Disclosure Act

770
00:42:00,080 --> 00:42:01,880
Speaker 1: that many of these members of Congress are doing, and

771
00:42:01,920 --> 00:42:04,799
Speaker 1: apparently they're actually doing pretty well. What does that tell you?

772
00:42:04,840 --> 00:42:08,680
Speaker 1: They have zero faith whatsoever that any of this is happenstance,

773
00:42:09,000 --> 00:42:11,120
Speaker 1: They say, Hey, these people look like they're making a

774
00:42:11,160 --> 00:42:13,040
Speaker 1: lot of money. I might as well jump in on

775
00:42:13,080 --> 00:42:16,520
Speaker 1: the train. When you have that level of corruption, it

776
00:42:16,600 --> 00:42:20,000
Speaker 1: is not that far away from a kleptocracy where you

777
00:42:20,160 --> 00:42:22,799
Speaker 1: just have people openly you know, We're not that far

778
00:42:22,840 --> 00:42:26,279
Speaker 1: away from people openly just making a trade on something,

779
00:42:26,360 --> 00:42:28,239
Speaker 1: and especially when you have the culture war to the

780
00:42:28,320 --> 00:42:31,080
Speaker 1: ability to come to your side or not, or the media.

781
00:42:31,120 --> 00:42:35,120
Speaker 1: How many people reported on Nancy Pelosi's stock options trades

782
00:42:35,280 --> 00:42:38,600
Speaker 1: up to a million dollars on like Microsoft and semiconductor companies.

783
00:42:38,800 --> 00:42:41,319
Speaker 1: Yeah it was her husband. Oh okay, I guess that

784
00:42:41,360 --> 00:42:43,120
Speaker 1: makes it, you know, I guess she doesn't profit whatsoever

785
00:42:43,160 --> 00:42:45,799
Speaker 1: from R right Or how about yesterday we covered this

786
00:42:45,920 --> 00:42:51,320
Speaker 1: incredible CNN segment where Fashakir suggests very gently that maybe

787
00:42:51,360 --> 00:42:55,040
Speaker 1: Heidi Hikamp, who's been being paid to advocate for low

788
00:42:55,080 --> 00:42:57,560
Speaker 1: taxes for the rich, that maybe she has a financial

789
00:42:57,560 --> 00:43:00,640
Speaker 1: interest at stake here as well, and all the anchor

790
00:43:00,760 --> 00:43:04,680
Speaker 1: jumps in to rest for you. Yeah, she's oh, well, look, first,

791
00:43:04,800 --> 00:43:06,399
Speaker 1: I loved how she was like, don't let's not get

792
00:43:06,400 --> 00:43:09,680
Speaker 1: into inside baseball, inside baseball, let's talk about this. Is

793
00:43:09,760 --> 00:43:13,120
Speaker 1: like financial journalists, if you're talking about the money in Washington,

794
00:43:13,200 --> 00:43:16,080
Speaker 1: you are not talking about what's actually going on in Washington.

795
00:43:16,120 --> 00:43:20,160
Speaker 1: And then she rushes in to defend the good reputation

796
00:43:20,719 --> 00:43:23,640
Speaker 1: of Heidi hike Camp. Let's be clear, she's lost her

797
00:43:23,680 --> 00:43:28,080
Speaker 1: seat for taking a vote of conscience. I mean, that's

798
00:43:28,160 --> 00:43:30,720
Speaker 1: part of What the major problem is here is people

799
00:43:30,760 --> 00:43:32,880
Speaker 1: feel like they're not getting the real story. They feel

800
00:43:32,880 --> 00:43:35,399
Speaker 1: like they're not seeing what's really driving the decision making

801
00:43:35,400 --> 00:43:38,360
Speaker 1: here because they're not, because the whole system is architected

802
00:43:38,400 --> 00:43:41,000
Speaker 1: that you can't you can't even suggest that you can't

803
00:43:41,000 --> 00:43:44,160
Speaker 1: ask these uncomfortable questions. Oh, it's inside baseball. We're not

804
00:43:44,200 --> 00:43:46,080
Speaker 1: going to talk about the way that Nancy Pelosi is

805
00:43:46,120 --> 00:43:48,359
Speaker 1: profiting off or position. We're not going to talk away

806
00:43:48,480 --> 00:43:51,439
Speaker 1: about the way that these fed dudes are profiting off

807
00:43:51,680 --> 00:43:54,440
Speaker 1: of their potential inside knowledge. We can't talk about any

808
00:43:54,520 --> 00:43:57,719
Speaker 1: of the moneyed interests who have a lot at stake

809
00:43:57,800 --> 00:44:00,480
Speaker 1: in what happens with this reconciliation build. That would just

810
00:44:00,480 --> 00:44:03,160
Speaker 1: be too unseemly. And so people know that they're not

811
00:44:03,200 --> 00:44:05,279
Speaker 1: getting the real story of what's actually going on and

812
00:44:05,280 --> 00:44:07,880
Speaker 1: what's driving this decision because they're not. I mean, you know,

813
00:44:07,920 --> 00:44:10,560
Speaker 1: and this happens every time a Republican senator does it.

814
00:44:10,719 --> 00:44:13,919
Speaker 1: You know, Fox either stays silent or doesn't cover it.

815
00:44:14,840 --> 00:44:18,160
Speaker 1: Pelosi does it, Fox and Friends. Top thing everybody cares

816
00:44:18,160 --> 00:44:21,279
Speaker 1: about Richard Burr. Everybody ignores Nancy Pelosi. I mean, I

817
00:44:21,280 --> 00:44:23,880
Speaker 1: did that whole thing unusual whales. Guy from Twitter, I

818
00:44:24,120 --> 00:44:27,440
Speaker 1: you know, writes up always the how the Senate, how

819
00:44:27,440 --> 00:44:29,600
Speaker 1: the Senate's doing and stuff. They're being in a market

820
00:44:29,640 --> 00:44:32,399
Speaker 1: by ten to twenty percent. I mean, look, there are

821
00:44:32,400 --> 00:44:34,960
Speaker 1: hedge funds on Wall Street to charge people, you know,

822
00:44:35,000 --> 00:44:37,399
Speaker 1: two and twenty in order to do the exact same thing,

823
00:44:37,600 --> 00:44:40,200
Speaker 1: and they're not getting the same returns. So you tell

824
00:44:40,239 --> 00:44:42,959
Speaker 1: me what's going on here? The biggest geniuses, you see

825
00:44:42,960 --> 00:44:45,000
Speaker 1: how they speak. I met a lot of them. Let

826
00:44:45,000 --> 00:44:47,160
Speaker 1: me tell you they ain't a lot out there, Okay,

827
00:44:47,560 --> 00:44:50,720
Speaker 1: running their best. Yeah, they're not sending their best whenever

828
00:44:50,760 --> 00:44:54,040
Speaker 1: it comes to Congress. Same thing here, I mean, you're

829
00:44:54,080 --> 00:44:56,600
Speaker 1: really gonna tell me that they just had The guy

830
00:44:56,640 --> 00:44:59,840
Speaker 1: claims he was rebalancing his portfolio. Last time he did

831
00:44:59,920 --> 00:45:02,120
Speaker 1: it in April. This time he does it on February

832
00:45:02,120 --> 00:45:04,160
Speaker 1: twenty seven. Just happens to be the day before the

833
00:45:04,400 --> 00:45:07,360
Speaker 1: chairman makes a major announcement which has massive impact on

834
00:45:07,520 --> 00:45:11,799
Speaker 1: US policy. I mean, look, you know, guys got a rebalance, right,

835
00:45:11,840 --> 00:45:13,920
Speaker 1: it just had to be on that day, and they

836
00:45:13,960 --> 00:45:16,680
Speaker 1: have pousitible deniability. But the rest of us know what's

837
00:45:16,719 --> 00:45:19,440
Speaker 1: going on. We know what's going on here. Elizabeth Warren

838
00:45:19,440 --> 00:45:21,879
Speaker 1: and some others have called for an SEC investigation. Yes,

839
00:45:21,960 --> 00:45:25,000
Speaker 1: at the very least, we could have something like that.

840
00:45:25,200 --> 00:45:27,919
Speaker 1: Look if he truly was just a rebalance, and they've

841
00:45:27,920 --> 00:45:31,319
Speaker 1: got emails and stuff to prove it. Okay, fine, remarkable coincidence,

842
00:45:31,400 --> 00:45:33,960
Speaker 1: But the public deserves to know. We just public deserves

843
00:45:34,000 --> 00:45:36,239
Speaker 1: to know, and the public deserves for this to never

844
00:45:36,280 --> 00:45:38,680
Speaker 1: happen again. They should not be buying and selling stocks.

845
00:45:38,680 --> 00:45:41,080
Speaker 1: They should not be actively trading the market. In my opinion,

846
00:45:41,080 --> 00:45:43,880
Speaker 1: they shouldn't be even owning stocks while they are in

847
00:45:43,920 --> 00:45:47,400
Speaker 1: these positions of incredible power. We throw around the words

848
00:45:47,560 --> 00:45:50,440
Speaker 1: public servants. Public service is supposed to come with some

849
00:45:50,520 --> 00:45:54,040
Speaker 1: kind of sacrifice. This is the very least, the very

850
00:45:54,160 --> 00:45:56,799
Speaker 1: least that they could do in order to give the

851
00:45:56,800 --> 00:46:00,520
Speaker 1: public some confidence that their decision making is actually about

852
00:46:00,560 --> 00:46:03,000
Speaker 1: the public good and not about what they're going to

853
00:46:03,040 --> 00:46:07,080
Speaker 1: personally profit on. Another important story that I wanted to

854
00:46:07,080 --> 00:46:09,120
Speaker 1: make sure we cover here is there is a large

855
00:46:09,160 --> 00:46:13,560
Speaker 1: spill of oil. Large oil spill in California running up

856
00:46:13,560 --> 00:46:17,360
Speaker 1: onto Hunting and Beach in Orange County. Take a listen

857
00:46:17,400 --> 00:46:20,120
Speaker 1: to a little bit of what's going on there. All right,

858
00:46:20,160 --> 00:46:23,200
Speaker 1: We begin with breaking news out of southern California, where

859
00:46:23,200 --> 00:46:26,680
Speaker 1: a major oil spill off the coast is being called

860
00:46:26,680 --> 00:46:31,400
Speaker 1: a potential ecological disaster. The leak is about three miles

861
00:46:31,440 --> 00:46:34,759
Speaker 1: off the coast of Huntington Beach, and experts estimate as

862
00:46:34,840 --> 00:46:37,719
Speaker 1: much as one hundred and twenty six thousand gallons of

863
00:46:37,800 --> 00:46:42,320
Speaker 1: post production crude spilled out, apparently from an offshore oil

864
00:46:42,400 --> 00:46:47,080
Speaker 1: production site. The impacts to wildlife are already visible. Oil

865
00:46:47,239 --> 00:46:50,680
Speaker 1: has now started to wash ashore along with dead fish

866
00:46:50,880 --> 00:46:56,560
Speaker 1: and birds. Total disaster. We still don't know exactly what happened.

867
00:46:56,920 --> 00:46:59,319
Speaker 1: We've got some photos we can show you too of

868
00:46:59,360 --> 00:47:01,439
Speaker 1: some of the devis. Let's go ahead and throw those

869
00:47:01,560 --> 00:47:05,000
Speaker 1: up on the screen so people can see. You know,

870
00:47:05,040 --> 00:47:08,040
Speaker 1: you're talking about massive oil slick. You're talking about this

871
00:47:08,239 --> 00:47:11,720
Speaker 1: oil goo washing up on the beach. You're talking about

872
00:47:11,760 --> 00:47:16,879
Speaker 1: birds and fish. It's a terrible situation. And what we're

873
00:47:16,960 --> 00:47:19,759
Speaker 1: learning this morning that there are a lot of questions

874
00:47:20,040 --> 00:47:25,279
Speaker 1: about exactly when and how the government knew about what

875
00:47:25,400 --> 00:47:29,600
Speaker 1: was going on, versus when they actually responded and when

876
00:47:29,600 --> 00:47:32,720
Speaker 1: they informed. You know, this is a heavily populated area.

877
00:47:32,760 --> 00:47:34,880
Speaker 1: This is Orange County, California. It's not like we're out

878
00:47:34,880 --> 00:47:37,520
Speaker 1: in the middle of nowhere. When did they inform residents

879
00:47:37,560 --> 00:47:40,000
Speaker 1: and when did they actually know? Reading now from the

880
00:47:40,120 --> 00:47:42,640
Speaker 1: La Times, they have a headline this morning and says

881
00:47:42,680 --> 00:47:46,640
Speaker 1: officials knew about the oil off of the Orange County

882
00:47:46,640 --> 00:47:50,000
Speaker 1: coast Friday, sparking new questions about the response. California federal

883
00:47:50,040 --> 00:47:52,799
Speaker 1: officials had strong indications of oil on the water off

884
00:47:52,800 --> 00:47:56,319
Speaker 1: of Huntington Beach Coast Friday evening. Records were viewed by

885
00:47:56,360 --> 00:47:59,680
Speaker 1: the Time show more than ten hours before the operator

886
00:47:59,719 --> 00:48:03,040
Speaker 1: of an oil platform reported to authorities. That document raises

887
00:48:03,080 --> 00:48:05,239
Speaker 1: more questions about how the massive leak was handled in

888
00:48:05,280 --> 00:48:08,040
Speaker 1: its first hours. Residents have complained about the time it

889
00:48:08,040 --> 00:48:10,640
Speaker 1: took to alert the public about the scope of to catastrophe,

890
00:48:10,840 --> 00:48:14,000
Speaker 1: and that initial communications by government agencies said the situation

891
00:48:14,120 --> 00:48:17,640
Speaker 1: was under control and that oil would not reach land,

892
00:48:17,960 --> 00:48:21,840
Speaker 1: so effectively, residents were smelling the oil. They thought something

893
00:48:21,960 --> 00:48:24,839
Speaker 1: was going on, and the government first of all didn't

894
00:48:24,880 --> 00:48:27,440
Speaker 1: say anything and then said, oh, don't worry, it's not

895
00:48:27,480 --> 00:48:29,759
Speaker 1: going to reach the coastline. Well, now we know this

896
00:48:29,800 --> 00:48:36,120
Speaker 1: is a massive spell, extraordinarily significant, huge, huge environmental catastrophe,

897
00:48:36,360 --> 00:48:38,840
Speaker 1: and it looks like they were incredibly slow to respond

898
00:48:38,960 --> 00:48:41,040
Speaker 1: to alert people what was going on. Yeah, that's right,

899
00:48:41,080 --> 00:48:43,799
Speaker 1: and you know, the CEO or the chief executive amplified.

900
00:48:43,960 --> 00:48:46,160
Speaker 1: They said that their company did not know about that

901
00:48:46,280 --> 00:48:49,520
Speaker 1: leak until Saturday, and that they were unaware on Friday

902
00:48:49,960 --> 00:48:53,320
Speaker 1: of reports from Orange County that any of this was happening.

903
00:48:53,600 --> 00:48:55,759
Speaker 1: But then you go when you look at the US

904
00:48:55,880 --> 00:48:58,800
Speaker 1: Coast Guard is seeing if the company failed to notice

905
00:48:58,880 --> 00:49:01,839
Speaker 1: a drop of pressure sure in the pipeline, which would

906
00:49:01,920 --> 00:49:04,719
Speaker 1: then result in the response that allowed the oil to

907
00:49:04,840 --> 00:49:07,880
Speaker 1: flow for hours and again every single one of those hours.

908
00:49:07,920 --> 00:49:10,000
Speaker 1: It's hard to comprehend for people who don't know a

909
00:49:10,000 --> 00:49:12,400
Speaker 1: lot about oil rigs and oil business and more, every

910
00:49:12,440 --> 00:49:16,440
Speaker 1: hour we're talking about like potentially millions of gallons of oil.

911
00:49:16,560 --> 00:49:19,279
Speaker 1: I mean, just like it's hard to fathom. And I

912
00:49:19,280 --> 00:49:21,279
Speaker 1: remember covering and I grew up in Texas and I've

913
00:49:21,320 --> 00:49:25,080
Speaker 1: seen a lot of the offshore stuff, the BP oil spill.

914
00:49:25,120 --> 00:49:27,040
Speaker 1: I mean, people were saying, how did this amount of

915
00:49:27,040 --> 00:49:29,239
Speaker 1: oil escape? It's like, look, it doesn't even take that

916
00:49:29,320 --> 00:49:32,480
Speaker 1: long for a lot of this work, highly pressurized environment.

917
00:49:32,680 --> 00:49:35,200
Speaker 1: The way the pipeline works, the entire business is kind

918
00:49:35,200 --> 00:49:37,440
Speaker 1: of made so that you could get as much transported

919
00:49:37,440 --> 00:49:39,440
Speaker 1: as possible. So when there is a leak, it's a

920
00:49:39,480 --> 00:49:42,319
Speaker 1: total disaster. So if they had ten hours in which

921
00:49:42,360 --> 00:49:45,279
Speaker 1: they were basically ignoring it, that is I mean it's

922
00:49:45,400 --> 00:49:48,000
Speaker 1: hard to fathom. We don't yet know exactly how much

923
00:49:48,000 --> 00:49:50,520
Speaker 1: oil was there, but like you said, I mean, right

924
00:49:50,560 --> 00:49:53,279
Speaker 1: now we know that the slick is moving. So this

925
00:49:53,320 --> 00:49:56,480
Speaker 1: is Orange County, California. This is millions of people. Yeah,

926
00:49:56,600 --> 00:49:58,600
Speaker 1: I've never actually been to Huntington Beach, but I you know,

927
00:49:58,640 --> 00:50:00,560
Speaker 1: even I know it's a beach town. You know all

928
00:50:00,600 --> 00:50:03,960
Speaker 1: of that. So it could have an impact on local economy.

929
00:50:04,280 --> 00:50:07,879
Speaker 1: People are looking into what exactly caused this. A lot

930
00:50:07,880 --> 00:50:10,200
Speaker 1: of the residents are really pissed off because you know,

931
00:50:10,280 --> 00:50:14,160
Speaker 1: their home is basically covered in oil. Now the biodiversity,

932
00:50:14,440 --> 00:50:18,279
Speaker 1: you know, could be impacted. This also is remarkable because

933
00:50:18,280 --> 00:50:19,959
Speaker 1: when you told me, I was like, what oil spill?

934
00:50:20,000 --> 00:50:21,399
Speaker 1: I didn't even know what you were talking about. Well,

935
00:50:21,400 --> 00:50:23,840
Speaker 1: and that I think I was thinking about that because

936
00:50:24,000 --> 00:50:26,000
Speaker 1: I mean, look, I just played part of CNN report.

937
00:50:26,040 --> 00:50:28,520
Speaker 1: It's not that it gotten no coverage, but this has

938
00:50:28,560 --> 00:50:32,760
Speaker 1: definitely not been a big focus consciousness of national news,

939
00:50:32,960 --> 00:50:35,320
Speaker 1: and I sort of think it speaks to how shitty

940
00:50:35,360 --> 00:50:39,440
Speaker 1: everything is that something is significant as an oil spill,

941
00:50:39,560 --> 00:50:42,400
Speaker 1: which not that long ago. I mean, it's a major

942
00:50:42,440 --> 00:50:45,280
Speaker 1: oil spill that not that long ago would have gotten

943
00:50:45,800 --> 00:50:49,920
Speaker 1: significant coverage people on the ground, I mean segment after segment,

944
00:50:50,000 --> 00:50:52,040
Speaker 1: and people really concerned about what's going on, did you

945
00:50:52,080 --> 00:50:54,160
Speaker 1: get it under control, and what did officials know and

946
00:50:54,160 --> 00:50:58,960
Speaker 1: what like. I just feel like there's so much significant

947
00:50:59,239 --> 00:51:03,320
Speaker 1: bad news and catastrophes, quite a few of them climate related,

948
00:51:03,480 --> 00:51:05,759
Speaker 1: a lot of political system related. I mean, there's just

949
00:51:05,920 --> 00:51:09,080
Speaker 1: so much saturation of the news that people can't even

950
00:51:09,120 --> 00:51:14,040
Speaker 1: focus on yet another disaster. And then you know, then

951
00:51:14,080 --> 00:51:17,400
Speaker 1: you also have the news media would rather cover, you know,

952
00:51:17,600 --> 00:51:22,040
Speaker 1: January sixth and what's Trump doing to do my right exactly,

953
00:51:22,560 --> 00:51:25,480
Speaker 1: rather than these sorts of issues too, which this doesn't

954
00:51:25,480 --> 00:51:28,080
Speaker 1: have a Trump angle, it doesn't have a Biden angle.

955
00:51:28,440 --> 00:51:30,960
Speaker 1: And they really they you know, I don't want to

956
00:51:30,960 --> 00:51:33,160
Speaker 1: say they struggle to cover because they could cover it

957
00:51:33,160 --> 00:51:35,200
Speaker 1: if they wanted to, but they just don't think that

958
00:51:35,200 --> 00:51:37,600
Speaker 1: that's going to be the best thing ultimately for their ratings.

959
00:51:37,960 --> 00:51:40,399
Speaker 1: So I think that's an important thing to note about

960
00:51:40,440 --> 00:51:42,399
Speaker 1: the story. The other thing that I saw, and I'm

961
00:51:42,400 --> 00:51:43,920
Speaker 1: gonna pulled this up because I made a note of

962
00:51:43,960 --> 00:51:47,919
Speaker 1: it from the AP. So the operator of this pipeline

963
00:51:48,080 --> 00:51:51,680
Speaker 1: has been cited seventy two times in the past for

964
00:51:51,840 --> 00:51:56,279
Speaker 1: different violations. According to AP, the spill, of course, has

965
00:51:56,280 --> 00:51:58,919
Speaker 1: already spread roughly six miles, but official estimates it means

966
00:51:58,920 --> 00:52:01,680
Speaker 1: clothes pieches, suspense, and fishing in addition to long term

967
00:52:01,760 --> 00:52:07,520
Speaker 1: environmental destruction. So apparently the operator of this pipeline is

968
00:52:07,640 --> 00:52:10,600
Speaker 1: kind of a known bad or slop. Yeah, every time

969
00:52:10,760 --> 00:52:12,960
Speaker 1: it was the same with BP, we were cited for

970
00:52:13,040 --> 00:52:16,799
Speaker 1: all this stuff subcontractors, but they're just allowed to continue, right,

971
00:52:17,000 --> 00:52:19,759
Speaker 1: I mean, and again this is look, it's it's two

972
00:52:19,760 --> 00:52:23,000
Speaker 1: sets of rules. I mean, that's the consistent theme here, right,

973
00:52:23,360 --> 00:52:26,120
Speaker 1: the FED corruption with this. They can get away with

974
00:52:26,160 --> 00:52:28,000
Speaker 1: it because they have lots of money, They have lots

975
00:52:28,000 --> 00:52:29,920
Speaker 1: of I'm sure they have lots of lobbyists. I'm sure

976
00:52:29,920 --> 00:52:33,000
Speaker 1: they have lots of influence. And so they can break

977
00:52:33,040 --> 00:52:35,919
Speaker 1: the rules and be cited for violations time and time

978
00:52:35,960 --> 00:52:40,040
Speaker 1: and time again, and nothing's really done to change their behavior.

979
00:52:40,120 --> 00:52:43,480
Speaker 1: There's no real consequences which are ultimately paid. And then

980
00:52:43,520 --> 00:52:45,640
Speaker 1: the people that pay the price are you know, the

981
00:52:45,640 --> 00:52:48,319
Speaker 1: people who live in this area. And of course the

982
00:52:48,520 --> 00:52:50,720
Speaker 1: you know, environmental damage which is going to be years

983
00:52:50,719 --> 00:52:54,640
Speaker 1: to ultimately recover. It's a disaster. And when you have

984
00:52:54,880 --> 00:52:58,719
Speaker 1: a known sloppy or bad operator like this, it was

985
00:52:58,800 --> 00:53:02,040
Speaker 1: ultimately a preventable disaster, not just in those immediate hours

986
00:53:02,040 --> 00:53:05,400
Speaker 1: when government officials it looks like, didn't act, but over time,

987
00:53:06,000 --> 00:53:09,400
Speaker 1: Why weren't there consequences? Why wasn't there Why weren't they

988
00:53:09,400 --> 00:53:12,520
Speaker 1: either shut down or you know, significant changes made to

989
00:53:12,560 --> 00:53:15,160
Speaker 1: make sure that you're not vulnerable to something like this again. Yeah,

990
00:53:15,200 --> 00:53:16,920
Speaker 1: and you know I didn't. I was just reading this,

991
00:53:17,160 --> 00:53:19,879
Speaker 1: which is that they had an air show at the

992
00:53:20,080 --> 00:53:23,719
Speaker 1: Huntington Beach with one point five million people there on Saturday,

993
00:53:23,920 --> 00:53:26,440
Speaker 1: the day after the speech. There are a million five people.

994
00:53:26,640 --> 00:53:28,440
Speaker 1: Some of them were getting into the water. It was

995
00:53:28,480 --> 00:53:31,799
Speaker 1: an early, blazing hot Saturday. A lot of people were there,

996
00:53:32,040 --> 00:53:35,040
Speaker 1: people were enjoying themselves. I mean, look, just because the

997
00:53:35,040 --> 00:53:36,640
Speaker 1: oil is not there, it doesn't mean that there isn't

998
00:53:36,680 --> 00:53:38,759
Speaker 1: you know, trace bride product or whatever that could be

999
00:53:38,800 --> 00:53:41,839
Speaker 1: getting onto people. And this is a real scandal, and

1000
00:53:41,880 --> 00:53:44,359
Speaker 1: you know, we will continue to cover it overmind. One

1001
00:53:44,400 --> 00:53:46,520
Speaker 1: of these times, I remember BP was the same story.

1002
00:53:46,560 --> 00:53:49,759
Speaker 1: There's some subcontractor nobody got sighted. Everybody knew it was

1003
00:53:49,800 --> 00:53:51,640
Speaker 1: a disaster. Even the guys on the rig new it

1004
00:53:51,680 --> 00:53:53,600
Speaker 1: was a problem. Then it blew and then oh, all

1005
00:53:53,600 --> 00:53:56,120
Speaker 1: of a sudden, we just found out about it. The

1006
00:53:56,239 --> 00:53:59,319
Speaker 1: building that we covered the in Miami. Im forgetting what

1007
00:53:59,360 --> 00:54:02,279
Speaker 1: it's called. Oh, it's been cited. Everybody knew it was

1008
00:54:02,280 --> 00:54:07,759
Speaker 1: a problem. Now it collapses. Now, okay, what else? There

1009
00:54:07,760 --> 00:54:10,000
Speaker 1: are too many things that come to account. It's like

1010
00:54:10,239 --> 00:54:13,520
Speaker 1: these things stack up. Then the collapse happens. Everyone says, oh, well,

1011
00:54:13,520 --> 00:54:14,839
Speaker 1: there's no way we could have known. It's like, no,

1012
00:54:14,880 --> 00:54:17,360
Speaker 1: we actually could have known quite easily. And you know,

1013
00:54:17,360 --> 00:54:19,520
Speaker 1: the one point five million people who are attending this

1014
00:54:19,600 --> 00:54:22,560
Speaker 1: military air show in Huntington Beach, they had no idea.

1015
00:54:22,600 --> 00:54:25,920
Speaker 1: They weren't told. The government made the decision. Oh well

1016
00:54:25,920 --> 00:54:27,840
Speaker 1: the wind's blown that way, so we should be. It

1017
00:54:27,840 --> 00:54:30,560
Speaker 1: should be good, and the wind changed. See how it

1018
00:54:30,600 --> 00:54:34,800
Speaker 1: goes shocker, never does that, right? Okay. Significant news also

1019
00:54:34,840 --> 00:54:37,640
Speaker 1: coming out of California, out of Hollywood, although this effects

1020
00:54:37,880 --> 00:54:40,880
Speaker 1: workers across the country. So I ast see that's the

1021
00:54:40,920 --> 00:54:45,480
Speaker 1: main union representing uh sort of crew backstage talking to

1022
00:54:45,480 --> 00:54:48,759
Speaker 1: makeup artists. You're talking, you know, people who are doing

1023
00:54:48,800 --> 00:54:51,319
Speaker 1: the lighting, who are running the cameras, all those types

1024
00:54:51,360 --> 00:54:55,760
Speaker 1: of folks. They have voted sixty thousand members to authorize

1025
00:54:55,840 --> 00:54:58,439
Speaker 1: a strike. That doesn't mean that they are on strike yet,

1026
00:54:58,640 --> 00:55:03,080
Speaker 1: but they have authorized that strike. Incredibly significant, could grind

1027
00:55:03,160 --> 00:55:06,480
Speaker 1: Hollywood truly to a halt. Let me read a little

1028
00:55:06,520 --> 00:55:08,920
Speaker 1: bit from this NPR report. Go ahead and throw this

1029
00:55:09,040 --> 00:55:11,840
Speaker 1: up on the streen screen. Hollywood crews vote to authorize

1030
00:55:11,880 --> 00:55:15,719
Speaker 1: a strike for better pay and working conditions. Hollywood film

1031
00:55:15,760 --> 00:55:19,880
Speaker 1: and TV productions could soon shut down if contract negotiations

1032
00:55:19,920 --> 00:55:23,240
Speaker 1: are not resolved. They say. Members from thirteen local unions

1033
00:55:23,280 --> 00:55:25,080
Speaker 1: on the West Coast and twenty three other locals around

1034
00:55:25,120 --> 00:55:29,240
Speaker 1: the country totally sixty thousand workers voted overwhelmingly to authorize

1035
00:55:29,239 --> 00:55:33,000
Speaker 1: a strike if needed that could impact everyone from cinematographers, editors,

1036
00:55:33,040 --> 00:55:35,360
Speaker 1: makeup artist, food workers who feed the cast and crew.

1037
00:55:35,760 --> 00:55:38,240
Speaker 1: Many of them have complained of having work days longer

1038
00:55:38,239 --> 00:55:41,399
Speaker 1: than twelve hours, few breaks, race below eighteen an hour,

1039
00:55:41,520 --> 00:55:44,520
Speaker 1: and miserable working conditions. Some are asking for more compensation

1040
00:55:44,600 --> 00:55:48,359
Speaker 1: for productions that are streamed online and not released theatrically.

1041
00:55:49,040 --> 00:55:51,400
Speaker 1: Since May, the National Union has been trying to hammer

1042
00:55:51,440 --> 00:55:55,960
Speaker 1: out new basic agreements and effectively soccer. There's a I mean,

1043
00:55:55,960 --> 00:55:57,920
Speaker 1: there's a couple of things going on here. First, just

1044
00:55:57,960 --> 00:56:03,440
Speaker 1: at a baseline, these folks are wildly overworked long you know,

1045
00:56:03,719 --> 00:56:06,560
Speaker 1: the people who are in charge think nothing of making

1046
00:56:06,560 --> 00:56:11,080
Speaker 1: them work twelve fourteen, fifteen, eighteen hours, very little time

1047
00:56:11,120 --> 00:56:14,920
Speaker 1: for break. You've got huge inequality on these Hollywood sets.

1048
00:56:14,960 --> 00:56:18,200
Speaker 1: You've got the stars who are making millions, and then

1049
00:56:18,280 --> 00:56:21,680
Speaker 1: you have you know, the crew who, oftentimes, especially at

1050
00:56:21,680 --> 00:56:24,279
Speaker 1: the low levels, like in an expensive place like la

1051
00:56:24,760 --> 00:56:28,000
Speaker 1: are not even making enough really to ultimately survive. You

1052
00:56:28,040 --> 00:56:31,680
Speaker 1: also have a situation where because of the pandemic, Hollywood

1053
00:56:31,719 --> 00:56:35,120
Speaker 1: was effectively shut down, so they had a whole backlog

1054
00:56:35,320 --> 00:56:38,880
Speaker 1: of productions to get to and so now they are

1055
00:56:38,920 --> 00:56:42,839
Speaker 1: just working these crew members to the boat, I mean,

1056
00:56:42,920 --> 00:56:46,120
Speaker 1: grinding them into the ground with these work schedules. So

1057
00:56:46,160 --> 00:56:49,239
Speaker 1: that's creating an issue. And then the other part that's

1058
00:56:49,280 --> 00:56:52,800
Speaker 1: going on here is that originally, when these streaming services

1059
00:56:52,880 --> 00:56:56,000
Speaker 1: Netflix and stuff like that started to come online, they

1060
00:56:56,040 --> 00:56:59,200
Speaker 1: were given some concessions in these contracts so that workers

1061
00:56:59,200 --> 00:57:02,240
Speaker 1: didn't make the same rate working on these Netflix streaming

1062
00:57:02,280 --> 00:57:06,000
Speaker 1: shows and other online shows as they did in traditional

1063
00:57:06,160 --> 00:57:08,880
Speaker 1: TV or theatrical production because it was new and it

1064
00:57:08,920 --> 00:57:11,399
Speaker 1: was seen as sort of like lower budget, et cetera. Well,

1065
00:57:11,960 --> 00:57:17,439
Speaker 1: those services have now made more money than the studios, right, yeah, okay,

1066
00:57:17,640 --> 00:57:21,080
Speaker 1: they've made it. So what these workers are saying is like, hey, okay,

1067
00:57:21,120 --> 00:57:23,960
Speaker 1: we gave you this concession early on, but now we

1068
00:57:24,040 --> 00:57:27,000
Speaker 1: feel like these streaming services, y'all can pony up and

1069
00:57:27,040 --> 00:57:29,840
Speaker 1: pay a living wage and put us up to par

1070
00:57:29,960 --> 00:57:32,840
Speaker 1: with what these other productions are doing. So those are

1071
00:57:32,880 --> 00:57:36,000
Speaker 1: some of the dynamics here. Again because of the number

1072
00:57:36,040 --> 00:57:39,960
Speaker 1: of workers, because you know, we're all very addicted to

1073
00:57:40,120 --> 00:57:46,160
Speaker 1: our entertainment in this country, it's incredibly significant. I also

1074
00:57:46,640 --> 00:57:49,160
Speaker 1: wanted a feature. We've got more perfect. Union has been

1075
00:57:49,200 --> 00:57:52,040
Speaker 1: following what's going on here. They put out a great,

1076
00:57:52,760 --> 00:57:56,720
Speaker 1: great set of videos about the potential strike and featuring

1077
00:57:56,760 --> 00:58:00,400
Speaker 1: some of the workers involved and what they're concerns and are.

1078
00:58:00,440 --> 00:58:01,960
Speaker 1: Let's take a listen to a little bit of that.

1079
00:58:02,520 --> 00:58:06,520
Speaker 1: There's a hegemony of exploitation within the film industry. You

1080
00:58:06,640 --> 00:58:10,760
Speaker 1: have people who are multimillionaires, who have overall deals who

1081
00:58:10,880 --> 00:58:15,160
Speaker 1: are worth ten, twenty, thirty fifty million dollars. You have

1082
00:58:15,280 --> 00:58:19,000
Speaker 1: pas who if the minimum wage is fifteen, they're getting fifteen.

1083
00:58:19,000 --> 00:58:31,800
Speaker 1: If the minimum wage is ten, they're making ten. A

1084
00:58:31,840 --> 00:58:34,720
Speaker 1: film set is a place where you can basically see

1085
00:58:34,800 --> 00:58:37,720
Speaker 1: like a cross section of all class dynamics within a

1086
00:58:37,760 --> 00:58:40,680
Speaker 1: singular room. It's so messed up when you're in a

1087
00:58:40,800 --> 00:58:45,120
Speaker 1: zoom room and you have people talking about how they're

1088
00:58:45,160 --> 00:58:51,440
Speaker 1: renovating their vacation house and you're quietly thinking to yourself,

1089
00:58:53,000 --> 00:58:55,479
Speaker 1: if I cut back to eating one meal a day,

1090
00:58:56,080 --> 00:59:02,280
Speaker 1: can I afford to can't afford to pay my electricity

1091
00:59:02,320 --> 00:59:07,439
Speaker 1: bill this month. I started to accumulate so much debt

1092
00:59:07,680 --> 00:59:09,520
Speaker 1: in order to stick around on the job. And there

1093
00:59:09,560 --> 00:59:13,560
Speaker 1: is even a time during the pandemic where my unemployed

1094
00:59:13,600 --> 00:59:17,440
Speaker 1: friends who got laid off through COVID was earning more

1095
00:59:17,480 --> 00:59:21,600
Speaker 1: money than how much I was earning. My day is

1096
00:59:21,720 --> 00:59:26,600
Speaker 1: never not so I think they put it very well.

1097
00:59:26,680 --> 00:59:29,080
Speaker 1: I mean that class dynamic because it's easy to think

1098
00:59:29,120 --> 00:59:31,760
Speaker 1: of Hollywood as all glitz and gammer. No, these are

1099
00:59:31,760 --> 00:59:35,000
Speaker 1: the people the background that actually make this all work.

1100
00:59:36,240 --> 00:59:39,720
Speaker 1: And so negotiations have restarted. We'll see if there's actually

1101
00:59:39,760 --> 00:59:41,479
Speaker 1: a strikeer if they're able to work it out before

1102
00:59:41,480 --> 00:59:43,280
Speaker 1: it comes to that. But that's where we act. Yeah,

1103
00:59:43,320 --> 00:59:45,160
Speaker 1: it really is stunning, you know, I was reading here

1104
00:59:45,280 --> 00:59:48,840
Speaker 1: about how they routinely do not get meal breaks, they

1105
00:59:48,840 --> 00:59:52,520
Speaker 1: don't get break time, they have work for the lowest

1106
00:59:52,520 --> 00:59:55,240
Speaker 1: possible wages. One of the reasons that ninety eight percent

1107
00:59:55,360 --> 00:59:58,160
Speaker 1: voted to authorize a strike was because everybody's had to

1108
00:59:58,160 --> 00:59:59,959
Speaker 1: at one point be the low man on the totem pole.

1109
01:00:00,240 --> 01:00:02,800
Speaker 1: And currently, under the current system, the low man on

1110
01:00:02,800 --> 01:00:05,160
Speaker 1: the totem pold is not paid a living wage for

1111
01:00:05,200 --> 01:00:08,320
Speaker 1: the city of Los Angeles or Los Angeles County. So

1112
01:00:08,360 --> 01:00:10,160
Speaker 1: in many cases, you know, I was reading some of

1113
01:00:10,160 --> 01:00:13,160
Speaker 1: these guys a driving three four hours like into work,

1114
01:00:13,560 --> 01:00:15,240
Speaker 1: work in twelve fifteen hours. I mean, what do you

1115
01:00:15,320 --> 01:00:16,760
Speaker 1: do at that point? You've got to sleep in your

1116
01:00:16,840 --> 01:00:19,840
Speaker 1: car something, just to show up at work every day,

1117
01:00:19,840 --> 01:00:22,120
Speaker 1: and they'll work like a month on, you know, month off.

1118
01:00:22,280 --> 01:00:26,080
Speaker 1: The entire industry was decimated during COVID, but we know

1119
01:00:26,200 --> 01:00:29,520
Speaker 1: that these were the people who got actually hurt. Everybody

1120
01:00:29,520 --> 01:00:32,160
Speaker 1: else had plenty of money, the studios, the streaming giants

1121
01:00:32,200 --> 01:00:34,520
Speaker 1: who hasn't been watching more Netflix, right, they've been making

1122
01:00:34,520 --> 01:00:36,920
Speaker 1: more money than ever they actually got. They beat their

1123
01:00:36,960 --> 01:00:39,560
Speaker 1: expectations by I don't even know how much. I don't know,

1124
01:00:39,680 --> 01:00:41,920
Speaker 1: like all of you in probably glued, just like the

1125
01:00:41,920 --> 01:00:46,240
Speaker 1: squid game recently. So they've got all kinds of new

1126
01:00:46,400 --> 01:00:49,680
Speaker 1: subscriptions and money rolling in. They should not be paying

1127
01:00:49,920 --> 01:00:53,920
Speaker 1: lesser wages on those. It's not twenty ten anymore, right,

1128
01:00:54,000 --> 01:00:58,000
Speaker 1: Like if anything, Netflix, Amazon, Hbo Max, they are the

1129
01:00:58,000 --> 01:01:01,360
Speaker 1: future of the entertainment industry. And you know a lot

1130
01:01:01,400 --> 01:01:05,160
Speaker 1: of times what the companies and what management will argue

1131
01:01:05,160 --> 01:01:07,280
Speaker 1: with these strikes is like you know, we've been talking

1132
01:01:07,280 --> 01:01:11,120
Speaker 1: about the Alabama strike with the coal miners, and they'll say, well,

1133
01:01:11,160 --> 01:01:13,720
Speaker 1: this is kind of you know, times are tough. Coal

1134
01:01:13,720 --> 01:01:16,200
Speaker 1: industry is on decline. We just can't afford to pay

1135
01:01:16,200 --> 01:01:19,000
Speaker 1: the same thing you can afford to pay these people,

1136
01:01:19,160 --> 01:01:23,240
Speaker 1: like you're making money hand over fist. There is maybe

1137
01:01:23,560 --> 01:01:26,760
Speaker 1: not a more profitable industry, probably the pharmaceutical companies. There

1138
01:01:26,760 --> 01:01:28,600
Speaker 1: probably are some more profitable industry, but this is a

1139
01:01:28,680 --> 01:01:31,920
Speaker 1: highly profitable industry. If you want to pay your people

1140
01:01:32,240 --> 01:01:35,280
Speaker 1: so that they can live closer by, so that they

1141
01:01:35,320 --> 01:01:38,120
Speaker 1: can you know, have a break, like include that in

1142
01:01:38,160 --> 01:01:41,560
Speaker 1: your schedule. So many people there's an Instagram that's tracking

1143
01:01:41,600 --> 01:01:44,360
Speaker 1: the stories of these crew members. So many of them

1144
01:01:44,400 --> 01:01:48,080
Speaker 1: talked about like falling asleep on the way home, just

1145
01:01:48,320 --> 01:01:53,560
Speaker 1: insane at working twenty three hours straight and given, you know,

1146
01:01:53,680 --> 01:01:57,280
Speaker 1: with with no effectively like power to say no to that,

1147
01:01:58,120 --> 01:02:00,960
Speaker 1: because if you won't do it, then someone also come

1148
01:02:01,000 --> 01:02:03,960
Speaker 1: in and fill your spot. So that's why unions ultimately

1149
01:02:04,000 --> 01:02:05,920
Speaker 1: are so important. And I also want to highlight the

1150
01:02:05,920 --> 01:02:09,760
Speaker 1: bigger picture here, which is there are a lot of

1151
01:02:09,840 --> 01:02:14,360
Speaker 1: strikes and potential strikes right now in the country. I mean,

1152
01:02:14,480 --> 01:02:17,919
Speaker 1: it really does seem like a real wave of sort

1153
01:02:17,960 --> 01:02:25,040
Speaker 1: of worker agitation, labor militancy, renewed interest in unionization coming

1154
01:02:25,120 --> 01:02:29,200
Speaker 1: out of the COVID pandemic. Jonah Ferbin, who's with Labor Notes,

1155
01:02:29,560 --> 01:02:31,720
Speaker 1: put up a Facebook post that just had a list

1156
01:02:31,880 --> 01:02:34,640
Speaker 1: of what all's going on. He's got a union roundup

1157
01:02:34,680 --> 01:02:37,640
Speaker 1: that he puts out on strike. You've got two thousand

1158
01:02:37,680 --> 01:02:42,040
Speaker 1: Buffalo hospital workers, two thousand washing carpenters, one thousand Alabama minors,

1159
01:02:42,320 --> 01:02:46,360
Speaker 1: Massachusetts nurses, West Virginia steel workers, Kentucky with you workers,

1160
01:02:46,440 --> 01:02:51,320
Speaker 1: Denver janitors, LA aerospace manufacturers, Reno bus drivers, Pennsylvania teachers,

1161
01:02:51,600 --> 01:02:56,040
Speaker 1: San Antonio symphony musicians, West Virginia machinists. And then he's

1162
01:02:56,040 --> 01:02:58,920
Speaker 1: got a list of potential strikes including these sixty thousand

1163
01:02:58,960 --> 01:03:02,000
Speaker 1: film and TV workers, thirty seven thousand Kaiser healthcare workers,

1164
01:03:02,040 --> 01:03:05,440
Speaker 1: ten thousand John Deer manufacturing workers, and it goes on.

1165
01:03:06,200 --> 01:03:09,600
Speaker 1: So there's been no coverage of this, of course, of

1166
01:03:09,640 --> 01:03:13,600
Speaker 1: any of this, very very little in mainstream news. But

1167
01:03:13,800 --> 01:03:17,840
Speaker 1: it really seems like there is something significant bubbling here

1168
01:03:18,040 --> 01:03:20,760
Speaker 1: in terms of worker saying I'm not going to just

1169
01:03:20,840 --> 01:03:24,040
Speaker 1: accept that this is the way things are. I'm not

1170
01:03:24,120 --> 01:03:26,440
Speaker 1: going to just be out here on my own and

1171
01:03:26,480 --> 01:03:29,040
Speaker 1: not have the power of a union. I'm not going

1172
01:03:29,120 --> 01:03:32,840
Speaker 1: to just submit to endless work days and not having

1173
01:03:32,840 --> 01:03:36,720
Speaker 1: a livable wage. There's something going on across the country.

1174
01:03:37,440 --> 01:03:44,360
Speaker 1: I think it's an incredibly important and wildly underreported voting

1175
01:03:44,360 --> 01:03:47,320
Speaker 1: to authorize the strike. As you pointed, ninety eight percent

1176
01:03:48,040 --> 01:03:51,120
Speaker 1: and turnout with something like ninety something percent, So it

1177
01:03:51,160 --> 01:03:55,560
Speaker 1: was huge turnout and almost everybody voted to authorize this,

1178
01:03:55,840 --> 01:03:58,480
Speaker 1: authorize the strike. This is part of a larger story

1179
01:03:58,720 --> 01:04:02,040
Speaker 1: that's going on with workers across this country. Absolutely right. Wow,

1180
01:04:02,200 --> 01:04:04,200
Speaker 1: you guys must really like listening to our voices. Well,

1181
01:04:04,240 --> 01:04:06,240
Speaker 1: I know this is annoying. Instead of making you listen

1182
01:04:06,280 --> 01:04:08,800
Speaker 1: to a Viagra commercial. When you're done, check out the

1183
01:04:08,840 --> 01:04:11,560
Speaker 1: other podcast I do with Marshal Kasloff called the re Alignment.

1184
01:04:11,600 --> 01:04:14,040
Speaker 1: We talk a lot about the deeper issues that are changing,

1185
01:04:14,160 --> 01:04:17,200
Speaker 1: realigning in American society. You always need more Crystal and

1186
01:04:17,240 --> 01:04:20,760
Speaker 1: Zagur in your daily lives. Take care, guys, All right, Sager,

1187
01:04:20,840 --> 01:04:23,280
Speaker 1: what are you looking at? Well? At this point, it's

1188
01:04:23,320 --> 01:04:25,600
Speaker 1: a cliche take that during the course of this pandemic,

1189
01:04:25,640 --> 01:04:28,200
Speaker 1: for a variety of reasons, the phrase trust the science

1190
01:04:28,280 --> 01:04:31,400
Speaker 1: became more of a cultural statement and a media propaganda

1191
01:04:31,440 --> 01:04:35,040
Speaker 1: effort than it ever was about actually trusting the scientific

1192
01:04:35,080 --> 01:04:38,800
Speaker 1: process itself. No person embodies this tragic turn of events

1193
01:04:39,000 --> 01:04:41,800
Speaker 1: more than doctor Anthony Fauci. He entered the pandemic a

1194
01:04:41,880 --> 01:04:44,760
Speaker 1: trusted medical advisor to the President of the United States.

1195
01:04:45,000 --> 01:04:47,720
Speaker 1: He was above reproach and with whom his words could

1196
01:04:47,720 --> 01:04:50,840
Speaker 1: find comfort the American people at a time of crisis. Now,

1197
01:04:50,960 --> 01:04:53,360
Speaker 1: what can really be described today as nothing than a

1198
01:04:53,400 --> 01:04:56,600
Speaker 1: sneering clown. Fauci, over the course of the last two years,

1199
01:04:56,600 --> 01:04:59,680
Speaker 1: has sacrificed his trust for the American people to a

1200
01:04:59,720 --> 01:05:02,480
Speaker 1: much it's more important trust to him. That's trust with

1201
01:05:02,520 --> 01:05:06,320
Speaker 1: the mainstream media, the Democratic Party elites, and really with Hollywood.

1202
01:05:06,440 --> 01:05:09,520
Speaker 1: To turn himself into an icon all effectively to quash

1203
01:05:09,760 --> 01:05:13,360
Speaker 1: serious inquiry into his own conduct before the pandemic, his

1204
01:05:13,480 --> 01:05:15,680
Speaker 1: green lighting of grant money to the lab which may

1205
01:05:15,680 --> 01:05:18,600
Speaker 1: have caused a pandemic in the first place. That's gone

1206
01:05:18,800 --> 01:05:21,920
Speaker 1: ancient history. His consistent use of his platform and media

1207
01:05:21,960 --> 01:05:25,200
Speaker 1: trust to push his absurd and insane COVID policies which

1208
01:05:25,200 --> 01:05:28,480
Speaker 1: are ripping the country apart. And finally, now after literally

1209
01:05:28,520 --> 01:05:31,640
Speaker 1: having children's books being written about Fauci, after people in

1210
01:05:31,640 --> 01:05:34,960
Speaker 1: my neighborhood who have real signs erected that say thank you,

1211
01:05:35,040 --> 01:05:39,120
Speaker 1: doctor Fauci, after nearly a year of media treatment, Hollywood

1212
01:05:39,160 --> 01:05:43,320
Speaker 1: itself is explicitly stepping in Disney Plus using its ownership

1213
01:05:43,360 --> 01:05:47,560
Speaker 1: of National Geographic to make a hagiographic film about the man.

1214
01:05:48,000 --> 01:05:51,040
Speaker 1: Just take a look at this thing. When I think

1215
01:05:51,080 --> 01:05:55,160
Speaker 1: about my dad growing up, I certainly think about that seriousness,

1216
01:05:56,000 --> 01:05:59,720
Speaker 1: but very few people get to see him. He's funny,

1217
01:06:00,120 --> 01:06:06,640
Speaker 1: weird and really playful. God help us. In nineteen eighty one,

1218
01:06:06,880 --> 01:06:12,000
Speaker 1: the HIV AIDS was evolving rapidly and frighteningly. There was

1219
01:06:12,160 --> 01:06:15,760
Speaker 1: anger at the government's response when you got sick, you

1220
01:06:15,800 --> 01:06:22,520
Speaker 1: were gone best. It's affecting you, yeah, boy, post traumatic stress,

1221
01:06:22,560 --> 01:06:28,360
Speaker 1: and when COVID hit. He became this target. My dad said,

1222
01:06:28,480 --> 01:06:30,439
Speaker 1: we're going to get through this whole thing, and he's

1223
01:06:30,480 --> 01:06:32,960
Speaker 1: held back. You don't do it because you want to

1224
01:06:32,960 --> 01:06:35,120
Speaker 1: make money. You don't do it for the glory. You

1225
01:06:35,280 --> 01:06:38,120
Speaker 1: do it because you care. When you're involved in a

1226
01:06:38,280 --> 01:06:43,000
Speaker 1: race to stop a horrible disease, you're always feel you're

1227
01:06:43,040 --> 01:06:51,600
Speaker 1: not doing things quickly enough. Now I find this is

1228
01:06:51,600 --> 01:06:55,080
Speaker 1: pretty gross for several reasons. Number One, doctor Fauci's human being.

1229
01:06:55,200 --> 01:06:57,520
Speaker 1: He's not a god. He's never been elected to anything.

1230
01:06:57,800 --> 01:07:00,680
Speaker 1: As for so called PTSD. A lot of people actually

1231
01:07:00,680 --> 01:07:03,680
Speaker 1: involved in the AIDS epidemic are to this day actually

1232
01:07:03,680 --> 01:07:06,240
Speaker 1: pretty upset about his handling of that. You can go

1233
01:07:06,280 --> 01:07:11,000
Speaker 1: ask them. In other words, he's an official, not above reproach,

1234
01:07:11,360 --> 01:07:14,920
Speaker 1: and yet Hollywood and Disney want to create him into

1235
01:07:15,000 --> 01:07:18,360
Speaker 1: a hero. But here's why it's especially galling that National

1236
01:07:18,400 --> 01:07:22,880
Speaker 1: Geographic is doing this. National Geographic is the organization owned

1237
01:07:22,880 --> 01:07:26,560
Speaker 1: by Disney creating this documentary about Fauci is the exact

1238
01:07:26,640 --> 01:07:30,080
Speaker 1: place where Fauci actually told one of his most pernicious lies.

1239
01:07:30,360 --> 01:07:33,800
Speaker 1: In May of twenty twenty, Fauci definitively told Nat Geo

1240
01:07:34,120 --> 01:07:37,400
Speaker 1: there is no scientific evidence that coronavirus was made in

1241
01:07:37,400 --> 01:07:40,440
Speaker 1: a Chinese lab. Keep in mind that is five months

1242
01:07:40,440 --> 01:07:42,800
Speaker 1: after he received an email in January of twenty twenty

1243
01:07:42,960 --> 01:07:47,760
Speaker 1: saying that the coronavirus was quote not consistent with evolutionary theory. Now,

1244
01:07:47,800 --> 01:07:51,080
Speaker 1: Fauci's declarative statement on that day was taken with a

1245
01:07:51,080 --> 01:07:53,800
Speaker 1: whole lot more credibility at the time than anything he

1246
01:07:53,880 --> 01:07:56,440
Speaker 1: says today. Try and remember May of twenty twenty, we

1247
01:07:56,480 --> 01:07:59,320
Speaker 1: are still in lockdown. There was a lot of uncertainty

1248
01:07:59,320 --> 01:08:02,760
Speaker 1: about the corona virus. Fauci's declaration was considered not only

1249
01:08:02,800 --> 01:08:05,760
Speaker 1: headline news, but as the basis through which people were

1250
01:08:05,760 --> 01:08:08,640
Speaker 1: removed from social media for posting about it and for

1251
01:08:08,760 --> 01:08:12,400
Speaker 1: a number of fake fact checks from the mainstream media.

1252
01:08:12,560 --> 01:08:15,640
Speaker 1: It was only after Trump lost the election that more

1253
01:08:15,720 --> 01:08:19,080
Speaker 1: open inquiry into the laplague theory was even really allowed

1254
01:08:19,120 --> 01:08:21,160
Speaker 1: in the public square. And the state of the race

1255
01:08:21,240 --> 01:08:24,080
Speaker 1: right now is basically that media is ignoring it. So

1256
01:08:24,160 --> 01:08:27,920
Speaker 1: Number one nat GEO is doing a documentary hailing doctor

1257
01:08:27,960 --> 01:08:32,040
Speaker 1: Fauci after he literally lied on their platform. They are

1258
01:08:32,080 --> 01:08:36,400
Speaker 1: rewarding him with effectively billions of dollars in free reputational defense.

1259
01:08:36,680 --> 01:08:39,600
Speaker 1: But what's even worse than that. What's worse is that

1260
01:08:39,640 --> 01:08:42,400
Speaker 1: they are actually proving one of Fauci's most infamous moments,

1261
01:08:42,680 --> 01:08:45,400
Speaker 1: in which he declared that an attack on Fauci is

1262
01:08:45,439 --> 01:08:48,599
Speaker 1: an attack on science itself. Just remember that one as

1263
01:08:48,680 --> 01:08:53,280
Speaker 1: attacks on me, quite frankly, are attacks on science, because

1264
01:08:53,400 --> 01:08:56,640
Speaker 1: all of the things that I have spoken about consistently

1265
01:08:56,720 --> 01:09:00,639
Speaker 1: from the very beginning, have been fundamentally based on science.

1266
01:09:01,240 --> 01:09:05,960
Speaker 1: Sometimes those things were inconvenient truths for people, and there

1267
01:09:06,040 --> 01:09:09,200
Speaker 1: was pushback against me. So if you are trying to

1268
01:09:10,320 --> 01:09:14,120
Speaker 1: get at me as a public health official and a scientist,

1269
01:09:14,600 --> 01:09:17,680
Speaker 1: you're really attacking not only doctor Anthony Fauci, you are

1270
01:09:17,720 --> 01:09:22,360
Speaker 1: attacking science, and anybody that looks at what's going on

1271
01:09:23,240 --> 01:09:27,360
Speaker 1: clearly sees that you have to be asleep not to

1272
01:09:27,479 --> 01:09:31,320
Speaker 1: see that that is what's going on. Science and the

1273
01:09:31,479 --> 01:09:37,559
Speaker 1: truth are being attacked Hollywood news media before them, much

1274
01:09:37,600 --> 01:09:40,200
Speaker 1: of the public. They have now made Fauci the incarnate

1275
01:09:40,240 --> 01:09:43,479
Speaker 1: of science itself. Now you might say, who cares, let's

1276
01:09:43,520 --> 01:09:46,400
Speaker 1: just not listen to him anymore. Hey, listen, I agree.

1277
01:09:46,600 --> 01:09:49,200
Speaker 1: Here's the problem. The government of the United States, and

1278
01:09:49,240 --> 01:09:52,439
Speaker 1: the Biden administration in particular, is held hostage by Fauci,

1279
01:09:52,640 --> 01:09:55,320
Speaker 1: because Biden voters trust Fauci a hell of a lot

1280
01:09:55,360 --> 01:09:58,240
Speaker 1: more than they even trust Biden himself. If the Biden

1281
01:09:58,240 --> 01:10:01,120
Speaker 1: administration were to run count or to the public advice

1282
01:10:01,160 --> 01:10:04,280
Speaker 1: of Fauci, they would face backlash. And the more famous

1283
01:10:04,280 --> 01:10:07,400
Speaker 1: that the guy gets, the more hagiographic treatment, the more

1284
01:10:07,400 --> 01:10:10,439
Speaker 1: he's turned into a living god, the more all of

1285
01:10:10,479 --> 01:10:13,920
Speaker 1: our institutions will be held hostage by him. Let's say,

1286
01:10:13,920 --> 01:10:16,679
Speaker 1: for instance, that Fauci says it's too early to tell

1287
01:10:16,880 --> 01:10:19,519
Speaker 1: if we can gather for Christmas, something that he said

1288
01:10:19,840 --> 01:10:22,160
Speaker 1: I don't know two days ago that anyone in the

1289
01:10:22,200 --> 01:10:25,320
Speaker 1: government who is now facing consequences if they say, well,

1290
01:10:25,360 --> 01:10:28,000
Speaker 1: hold on, doctor Fauci. We have a vaccine that works

1291
01:10:28,040 --> 01:10:30,640
Speaker 1: pretty well. COVID cases are down thirty five percent in

1292
01:10:30,680 --> 01:10:33,000
Speaker 1: the last month, and all things considered, it looks pretty

1293
01:10:33,000 --> 01:10:35,920
Speaker 1: clear that COVID will be relatively endemic for the foreseeable future.

1294
01:10:36,280 --> 01:10:38,040
Speaker 1: We could live with it with the protection we have.

1295
01:10:38,479 --> 01:10:41,120
Speaker 1: You would be attacking science itself if he said those things,

1296
01:10:41,439 --> 01:10:43,960
Speaker 1: even though they're all facts. Fauci's status as a hero

1297
01:10:44,040 --> 01:10:47,680
Speaker 1: has precluded many honest conversations in media around what is

1298
01:10:47,760 --> 01:10:51,960
Speaker 1: acceptable pandemic response and the more he is venerated, celebrated,

1299
01:10:52,120 --> 01:10:54,840
Speaker 1: the more power he wields within the government. That is

1300
01:10:54,960 --> 01:10:57,920
Speaker 1: bad for science. It is actually bad for anyone who

1301
01:10:58,000 --> 01:11:00,439
Speaker 1: is actually looking for answers as to the question of

1302
01:11:00,479 --> 01:11:03,640
Speaker 1: what exactly went down in the Wuhans Institute of Virology.

1303
01:11:03,960 --> 01:11:06,800
Speaker 1: What role did doctor Anthony Fauci play, What role did

1304
01:11:06,840 --> 01:11:09,200
Speaker 1: the National Institute of Health play? What did we know

1305
01:11:09,320 --> 01:11:12,280
Speaker 1: certain facts? When did he not? It doesn't matter at

1306
01:11:12,280 --> 01:11:15,080
Speaker 1: this point. Fauci could literally admit on TV he funded

1307
01:11:15,120 --> 01:11:17,120
Speaker 1: the Wuhan Lab that he knew it was gain of

1308
01:11:17,160 --> 01:11:21,280
Speaker 1: Function Research and National Geographic and MSNBC would probably do

1309
01:11:21,360 --> 01:11:24,080
Speaker 1: segments about how really it was the big bag GOP

1310
01:11:24,600 --> 01:11:28,599
Speaker 1: or bad independent shows like Breaking Points. We're spreading fake news.

1311
01:11:28,960 --> 01:11:32,160
Speaker 1: That's the unfortunate reality that we found ourselves living in

1312
01:11:32,360 --> 01:11:34,360
Speaker 1: and we will be paying the price for this for

1313
01:11:34,400 --> 01:11:37,479
Speaker 1: many years to come. I mean, could you not help

1314
01:11:37,600 --> 01:11:40,120
Speaker 1: but roll your eyes up the glory thing? He doesn't

1315
01:11:40,160 --> 01:11:42,240
Speaker 1: do it for this one more thing, I promise. Just

1316
01:11:42,280 --> 01:11:44,439
Speaker 1: wanted to make sure you knew about my podcast with

1317
01:11:44,520 --> 01:11:47,320
Speaker 1: Kyle Kolinski. It's called Crystal, Kyle and Friends, where we

1318
01:11:47,360 --> 01:11:50,840
Speaker 1: do long form interviews with people like Nom Chomsky, Cornell West,

1319
01:11:50,880 --> 01:11:54,400
Speaker 1: and Glenn Greenwald. You can listen on any podcast platform,

1320
01:11:54,640 --> 01:11:57,000
Speaker 1: or you can subscribe over on substack to get the

1321
01:11:57,080 --> 01:11:59,240
Speaker 1: video a day early. We're going to stop bugging you

1322
01:11:59,280 --> 01:12:02,720
Speaker 1: now enjoy Crystal. What are you taking a look at? Well?

1323
01:12:02,760 --> 01:12:05,800
Speaker 1: The Daily Beast has taken aim at comedian, actor and

1324
01:12:05,840 --> 01:12:08,880
Speaker 1: podcaster Russell Brand and a new piece. They say he

1325
01:12:08,920 --> 01:12:13,160
Speaker 1: has become a powerful voice for anti vaxers. They accused

1326
01:12:13,240 --> 01:12:16,519
Speaker 1: him of quote going down the rabbit hole. But what's more,

1327
01:12:16,680 --> 01:12:20,360
Speaker 1: they contacted YouTube in an apparent effort to get him

1328
01:12:20,439 --> 01:12:23,040
Speaker 1: banned from the platform or at least have his content centered.

1329
01:12:23,080 --> 01:12:25,320
Speaker 1: So they really went the extra mile here. These are

1330
01:12:25,360 --> 01:12:27,720
Speaker 1: pretty serious charges. So let's take a look at the

1331
01:12:27,840 --> 01:12:32,200
Speaker 1: evidence that they offer. Here is charge number one. Quote. Recently,

1332
01:12:32,240 --> 01:12:34,920
Speaker 1: Brand has found a loyal fan base in right wing

1333
01:12:35,000 --> 01:12:38,599
Speaker 1: conservatives and anti vaxers, who have flocked to his YouTube

1334
01:12:38,600 --> 01:12:40,760
Speaker 1: and Facebook accounts, hailing the forty six year old as

1335
01:12:40,760 --> 01:12:43,479
Speaker 1: a so called voice of reason. He's played heavy to

1336
01:12:43,560 --> 01:12:46,920
Speaker 1: this fan base, interviewing right wing trolls Ben Shapiro and

1337
01:12:47,000 --> 01:12:50,000
Speaker 1: Candice Owens, although he does agree disagree with them on

1338
01:12:50,040 --> 01:12:52,840
Speaker 1: certain points. In June, he asked his watchers if he

1339
01:12:52,840 --> 01:12:55,920
Speaker 1: should accept Fox News' invitation to appear on the network.

1340
01:12:56,000 --> 01:12:59,320
Speaker 1: Most agreed he should. I would suggest Tucker he's very fair.

1341
01:12:59,760 --> 01:13:04,360
Speaker 1: One fan commented, so in this paragraph, the crimes of

1342
01:13:04,400 --> 01:13:08,160
Speaker 1: brand are that he hasn't purged his audience of all

1343
01:13:08,200 --> 01:13:12,000
Speaker 1: possible conservatives or anti vaxxers, that he dared to speak

1344
01:13:12,040 --> 01:13:15,519
Speaker 1: with prominent conservatives on his show, and that one person

1345
01:13:15,680 --> 01:13:19,800
Speaker 1: commented in the comments section that Tucker Carlson is fair.

1346
01:13:20,400 --> 01:13:22,880
Speaker 1: There is maybe nothing I hate more than this type

1347
01:13:22,880 --> 01:13:25,920
Speaker 1: of analysis, this idea that you're somehow responsible for whatever

1348
01:13:25,960 --> 01:13:29,439
Speaker 1: YouTube commenter has to say, or somehow endorsing every view

1349
01:13:29,479 --> 01:13:31,840
Speaker 1: of the people you bring on your show. Now, I

1350
01:13:31,880 --> 01:13:33,840
Speaker 1: would say, if you invite someone like Candas Owarns or

1351
01:13:33,840 --> 01:13:36,280
Speaker 1: Ben Shapir on your show and you've got significant disagreements,

1352
01:13:36,320 --> 01:13:38,880
Speaker 1: then you've probably got an obligation to challenge him. But

1353
01:13:39,160 --> 01:13:42,200
Speaker 1: he does that. In fact, he did a superb job

1354
01:13:42,240 --> 01:13:46,439
Speaker 1: dismantling Candas's ridiculous zombie Reagan talking points. Just watch and

1355
01:13:46,479 --> 01:13:48,680
Speaker 1: judge for yourself. Think of animals in the while, you

1356
01:13:48,640 --> 01:13:50,120
Speaker 1: even have to go to humanity. We can just think

1357
01:13:50,120 --> 01:13:52,360
Speaker 1: about animals in the wile. What is our human instinct. Okay,

1358
01:13:52,640 --> 01:13:54,760
Speaker 1: are you going to make sure that everyone on this

1359
01:13:54,840 --> 01:13:56,720
Speaker 1: block is fed before you feed yourself? Do you go

1360
01:13:56,760 --> 01:13:58,599
Speaker 1: around and say, hey, have you had breakfast this morning?

1361
01:13:59,200 --> 01:14:01,120
Speaker 1: You had brekfast this morning? Hey, are you going to

1362
01:14:01,200 --> 01:14:02,519
Speaker 1: make sure you're eating if you have and if you

1363
01:14:02,600 --> 01:14:04,880
Speaker 1: have an excess? Of course you're going to do the

1364
01:14:04,920 --> 01:14:07,600
Speaker 1: human the human condition, and our incentives are going to

1365
01:14:07,600 --> 01:14:10,479
Speaker 1: be want to help people to one axis. The richest

1366
01:14:10,640 --> 01:14:13,880
Speaker 1: fifteen people on the planet have got as much accumulative

1367
01:14:13,920 --> 01:14:19,120
Speaker 1: wealth as the poorest five billion. But that's an exit. Okay,

1368
01:14:19,120 --> 01:14:22,679
Speaker 1: excuse me, first and foremost, you're talking about literally point

1369
01:14:22,840 --> 01:14:25,519
Speaker 1: zero zero zero zero one percent of the world's what

1370
01:14:25,600 --> 01:14:28,240
Speaker 1: you're talking about. Okay, But and what are and what

1371
01:14:28,280 --> 01:14:30,640
Speaker 1: are they preaching? What do they want socialism? So that

1372
01:14:30,680 --> 01:14:32,639
Speaker 1: nobody else is the opportunity to become what they've become.

1373
01:14:32,800 --> 01:14:37,559
Speaker 1: They're the ones that are pushing. Are you kidding? George

1374
01:14:37,560 --> 01:14:40,479
Speaker 1: Soros doesn't want socialist policies. Jeff Bezos, the richest man

1375
01:14:40,520 --> 01:14:42,880
Speaker 1: in the world, doesn't want socialist policies. They want to

1376
01:14:42,920 --> 01:14:44,560
Speaker 1: make sure that no one else has the opportunity to

1377
01:14:44,560 --> 01:14:46,640
Speaker 1: get to They to discuss our language, me and you

1378
01:14:46,720 --> 01:14:50,559
Speaker 1: because what here's what my socialism looks like. Take Jeff

1379
01:14:50,600 --> 01:14:54,080
Speaker 1: Bezos as well. From him except for a reasonable stipper

1380
01:14:54,120 --> 01:14:55,920
Speaker 1: in for him to live on something like you know,

1381
01:14:55,920 --> 01:14:57,439
Speaker 1: and that you can have ten million a year or

1382
01:14:57,439 --> 01:15:04,160
Speaker 1: something tax Amazon to the Bezos as a socialist. That

1383
01:15:04,280 --> 01:15:06,880
Speaker 1: is hilarious. Anyway, I think it is clear this was

1384
01:15:06,920 --> 01:15:09,720
Speaker 1: not exactly some softball Candice Own's love fest pandering to

1385
01:15:09,760 --> 01:15:13,559
Speaker 1: a right wing audience. Okay, so the initial evidence that

1386
01:15:13,600 --> 01:15:17,440
Speaker 1: Brand should be censored is complete bullshit. Let's see what's next. Quote.

1387
01:15:17,840 --> 01:15:21,120
Speaker 1: Brand has also take an issue with the vaccine, casting

1388
01:15:21,200 --> 01:15:24,360
Speaker 1: doubt on the trustworthiness of the FDA, asking vaccine mandates

1389
01:15:24,439 --> 01:15:27,680
Speaker 1: art assault on people's bodily freedoms, calling the vaccine a

1390
01:15:27,720 --> 01:15:30,840
Speaker 1: gold rush, and pondering whether people could trust Bill Gates.

1391
01:15:30,840 --> 01:15:33,720
Speaker 1: Most recently, Brand declared that there was a vaccine apartheid

1392
01:15:34,000 --> 01:15:36,960
Speaker 1: going after CNN anchor Don Lemon after he called out

1393
01:15:37,000 --> 01:15:40,640
Speaker 1: people who refused to get vaccinated. All right, I'm going

1394
01:15:40,680 --> 01:15:42,599
Speaker 1: to take the time to break down each of these

1395
01:15:42,640 --> 01:15:46,160
Speaker 1: claims in turn. First, they say, Russell casts doubt on

1396
01:15:46,240 --> 01:15:49,960
Speaker 1: the trustworthiness of the FDA. Here's the segment that they

1397
01:15:49,960 --> 01:15:52,600
Speaker 1: are talking about. Let's take a listen. The FDA, the

1398
01:15:52,640 --> 01:15:56,439
Speaker 1: Food and Drug Administration, is the agency that regulates big

1399
01:15:56,439 --> 01:16:01,400
Speaker 1: pharmaceutical companies, and it's funded by those same big pharmaceutical companies.

1400
01:16:01,680 --> 01:16:05,479
Speaker 1: Can you see any potential problems in the FDA being

1401
01:16:05,520 --> 01:16:09,080
Speaker 1: funded by the big farmer companies that is regulating The

1402
01:16:09,120 --> 01:16:12,960
Speaker 1: FDA used to be funded entirely by taxpayers, meaning it

1403
01:16:13,040 --> 01:16:15,920
Speaker 1: was sort of a public funded body, and I'm sure

1404
01:16:15,920 --> 01:16:18,320
Speaker 1: there was some room for corruption or whatever, but ultimately

1405
01:16:18,479 --> 01:16:22,599
Speaker 1: the FDA saw of was housed within governmental authority. Now

1406
01:16:22,640 --> 01:16:27,080
Speaker 1: it is increasingly funded by the institutions and corporations so

1407
01:16:27,120 --> 01:16:30,400
Speaker 1: that it regulates. What kind of problems could you imagine

1408
01:16:30,439 --> 01:16:33,000
Speaker 1: that might lead to The FDA has moved from an

1409
01:16:33,120 --> 01:16:36,120
Speaker 1: entirely taxpayer funded entity a one increasingly funded by a

1410
01:16:36,280 --> 01:16:39,799
Speaker 1: user fees paid by manufacturers that are being regulated. User

1411
01:16:39,920 --> 01:16:44,000
Speaker 1: fees this is our fee for using you. Today, close

1412
01:16:44,040 --> 01:16:46,120
Speaker 1: to forty five percent of its budget comes from these

1413
01:16:46,240 --> 01:16:48,479
Speaker 1: user fees that companies pay when they apply for approval

1414
01:16:48,520 --> 01:16:52,439
Speaker 1: of a medical device or drug. All right, guys, I

1415
01:16:52,560 --> 01:16:56,320
Speaker 1: double checked. Russell Brand is absolutely correct here. The FDA

1416
01:16:56,479 --> 01:16:59,040
Speaker 1: is increasingly funded by the drug companies, and that is

1417
01:16:59,080 --> 01:17:02,760
Speaker 1: in fact deeply considered learning pointing out uncomfortable facts is

1418
01:17:02,800 --> 01:17:06,160
Speaker 1: not a crime. In fact, it's what actual journalists are

1419
01:17:06,240 --> 01:17:09,519
Speaker 1: meant to do. Here is a Forbes article, by the way,

1420
01:17:09,760 --> 01:17:12,479
Speaker 1: calling attention to this very issue and asking whether this

1421
01:17:12,560 --> 01:17:15,800
Speaker 1: drug company user fee support might be an issue. Guess

1422
01:17:15,920 --> 01:17:20,080
Speaker 1: Forbes is down the rabbit hole fueling anti vaxers as well.

1423
01:17:20,160 --> 01:17:23,040
Speaker 1: All right. The next claim is that Russell said that

1424
01:17:23,120 --> 01:17:27,040
Speaker 1: vaccine mandates are an assault on people's bodily freedom. Now, look,

1425
01:17:27,200 --> 01:17:29,920
Speaker 1: I am not ideologically exactly in the same place as

1426
01:17:30,000 --> 01:17:32,880
Speaker 1: Russell and vaccine mandates. For example, as you know, I

1427
01:17:32,920 --> 01:17:35,200
Speaker 1: think the Biden solution of giving folks the option of

1428
01:17:35,240 --> 01:17:38,720
Speaker 1: opting into testing instead is a good balancing of the

1429
01:17:38,720 --> 01:17:43,320
Speaker 1: competing principles of collective responsibility in individual liberties. But Russell's

1430
01:17:43,360 --> 01:17:47,840
Speaker 1: perspective here is perfectly legitimate that down the rabbit hole

1431
01:17:47,920 --> 01:17:52,040
Speaker 1: bash of anti vaxxers. The New York Times recently ran

1432
01:17:52,080 --> 01:17:56,120
Speaker 1: an opbed from libertarian Robbisuave that made a very similar argument.

1433
01:17:56,240 --> 01:18:00,000
Speaker 1: In fact, Russell quotes extensively from that New York Time

1434
01:18:00,080 --> 01:18:03,759
Speaker 1: to ed in laying out his own case. The idea

1435
01:18:03,760 --> 01:18:06,120
Speaker 1: that such a view is radical or deserves to be

1436
01:18:06,240 --> 01:18:10,519
Speaker 1: censored is in itself a radical and dangerous view. All right,

1437
01:18:11,320 --> 01:18:15,240
Speaker 1: the next Daily Beasts claim is really disingenuous. You're ready

1438
01:18:15,240 --> 01:18:18,320
Speaker 1: for this one. Next they lament that Russell called the

1439
01:18:18,400 --> 01:18:21,439
Speaker 1: vaccines a gold rush and question whether you can trust

1440
01:18:21,720 --> 01:18:25,640
Speaker 1: Bill Gates in doing so. They completely leave on the

1441
01:18:25,640 --> 01:18:28,840
Speaker 1: context of his comments, and that context was that he

1442
01:18:28,920 --> 01:18:32,920
Speaker 1: was doing a segment blasting Pharma for keeping vaccines from

1443
01:18:32,960 --> 01:18:36,519
Speaker 1: the global selth. He specifically called out Gates for his

1444
01:18:36,640 --> 01:18:41,040
Speaker 1: complicity in protecting Pharma's patent protection. In other words, it

1445
01:18:41,280 --> 01:18:46,280
Speaker 1: was a pro vaccine segment, and Bill Gates has in

1446
01:18:46,280 --> 01:18:49,519
Speaker 1: fact been one of the primary villains in keeping vaccines

1447
01:18:49,520 --> 01:18:52,760
Speaker 1: from getting to poor populations around the world. Now full

1448
01:18:52,800 --> 01:18:54,720
Speaker 1: disclosure here, Russell played a little bit of my own

1449
01:18:54,760 --> 01:18:58,160
Speaker 1: monologue on that exact topic to make the point. So again,

1450
01:18:58,600 --> 01:19:02,040
Speaker 1: the Daily Beest twisted a pro vaccine segment to make

1451
01:19:02,080 --> 01:19:04,920
Speaker 1: the case that Russell was a quote powerful voice for

1452
01:19:05,000 --> 01:19:08,560
Speaker 1: anti vaxxers. It's impressive, which brings me finally to the

1453
01:19:08,640 --> 01:19:12,519
Speaker 1: Daily Beasts outrage at Russell's great crime of criticizing Don Lemon.

1454
01:19:13,000 --> 01:19:15,799
Speaker 1: How dare you Russell? Now? He did so in reaction

1455
01:19:16,000 --> 01:19:18,800
Speaker 1: to this commentary. I think we have to stop coddling

1456
01:19:18,840 --> 01:19:22,360
Speaker 1: people when it comes to this and the vaccine saying, oh,

1457
01:19:22,439 --> 01:19:25,160
Speaker 1: you can't shame them, you can't call them stupid, you

1458
01:19:25,160 --> 01:19:28,080
Speaker 1: can't call them still good. Yes they are. The people

1459
01:19:28,080 --> 01:19:30,320
Speaker 1: who ate it and avetted Trump are stupid because they

1460
01:19:30,360 --> 01:19:33,800
Speaker 1: believed his big lie. The people who are not getting vaccines,

1461
01:19:34,240 --> 01:19:37,400
Speaker 1: who are believing the lies on the internet instead of science,

1462
01:19:37,760 --> 01:19:40,200
Speaker 1: It's time to start shaming them. What else or leave

1463
01:19:40,240 --> 01:19:45,360
Speaker 1: them behind? Now you all know, I think that type

1464
01:19:45,360 --> 01:19:48,760
Speaker 1: of attitude from Lemon and commentary which demonizes people and

1465
01:19:48,800 --> 01:19:53,240
Speaker 1: demands retribution is disgraceful. I think deserves to be called out.

1466
01:19:53,560 --> 01:19:56,559
Speaker 1: Good on Russell brand for doing it. Not to mention

1467
01:19:56,640 --> 01:19:59,240
Speaker 1: that Lemon goes on to pretend that the only unvaccinated

1468
01:19:59,280 --> 01:20:02,080
Speaker 1: people are Trump's because of course that's convenient for his

1469
01:20:02,200 --> 01:20:05,960
Speaker 1: narrative of shame and punishment. This punching down for media

1470
01:20:06,000 --> 01:20:09,080
Speaker 1: figures is also very convenient because it lets our failed

1471
01:20:09,080 --> 01:20:11,479
Speaker 1: elites off the hook for bringing our society to a

1472
01:20:11,479 --> 01:20:14,839
Speaker 1: place where so many would be distrustful of the media,

1473
01:20:14,960 --> 01:20:19,479
Speaker 1: of the government, and of the pharmaceutical companies. Maybe, just maybe,

1474
01:20:19,840 --> 01:20:22,160
Speaker 1: if some of the issues of corruption that Russell points

1475
01:20:22,200 --> 01:20:25,640
Speaker 1: to were actually talked about and then actually addressed you

1476
01:20:25,680 --> 01:20:28,559
Speaker 1: wouldn't find yourself in this place to start with. Look,

1477
01:20:28,640 --> 01:20:31,960
Speaker 1: as I already said, I've got my ideological disagreements with Russell.

1478
01:20:32,000 --> 01:20:34,120
Speaker 1: I'm not trying to sanction all of his views. In

1479
01:20:34,120 --> 01:20:37,040
Speaker 1: my opinion, he's also too equivocal about the efficacy of

1480
01:20:37,080 --> 01:20:39,160
Speaker 1: the vaccine. We know it works, and that could be

1481
01:20:39,200 --> 01:20:42,280
Speaker 1: stated a lot more clearly. But this hatchet job said

1482
01:20:42,360 --> 01:20:45,960
Speaker 1: a lot less about any issues with russell brand and

1483
01:20:46,000 --> 01:20:49,559
Speaker 1: a whole lot more about the insecurities and authoritarian mindset

1484
01:20:49,640 --> 01:20:53,920
Speaker 1: of the establishment media. They are failing, their view counts

1485
01:20:53,960 --> 01:20:57,120
Speaker 1: and their ratings are collapsing. Russell, on the other hand,

1486
01:20:57,360 --> 01:21:00,559
Speaker 1: is succeeding. Millions of people watch his YouTube vide his

1487
01:21:00,680 --> 01:21:04,120
Speaker 1: podcast is very, very successful. It can't be that he's

1488
01:21:04,200 --> 01:21:06,479
Speaker 1: just doing a better job than they are. No, it

1489
01:21:06,560 --> 01:21:09,400
Speaker 1: has to be something nefarious. He's got to be down

1490
01:21:09,479 --> 01:21:13,040
Speaker 1: the rabbit hole, fueling misinformation, grifting in some as of

1491
01:21:13,200 --> 01:21:16,760
Speaker 1: yet undefined way. The Daily Beast, they're all over it,

1492
01:21:16,960 --> 01:21:22,000
Speaker 1: supposed journalists calling the manager at YouTube to demand more censorship.

1493
01:21:22,320 --> 01:21:24,360
Speaker 1: I guess it's understandable, since it may well get to

1494
01:21:24,400 --> 01:21:26,960
Speaker 1: the point where people will only read their trash and

1495
01:21:27,080 --> 01:21:30,880
Speaker 1: watch their shows if they've got no other options. Sager

1496
01:21:31,400 --> 01:21:33,920
Speaker 1: this whole thing. The more I dug into it, the

1497
01:21:33,960 --> 01:21:37,280
Speaker 1: more pissed off I got, because, honestly, a troubling trend

1498
01:21:37,520 --> 01:21:39,519
Speaker 1: that we've seen all across the nation. Let's put us

1499
01:21:39,560 --> 01:21:41,599
Speaker 1: up there on the screen. We've seen a violent crime

1500
01:21:41,680 --> 01:21:44,840
Speaker 1: spike by about thirty percent with an overall decrease. Yet

1501
01:21:44,880 --> 01:21:48,839
Speaker 1: in property crime, we've also seen hate crime increase and more. Obviously,

1502
01:21:48,840 --> 01:21:50,839
Speaker 1: it is probably one of the most politically charged debates

1503
01:21:51,080 --> 01:21:53,080
Speaker 1: that exists. Charles Leeman, he's a friend of mine over

1504
01:21:53,120 --> 01:21:56,719
Speaker 1: at the Manhattan Institute, and he's very a very sober

1505
01:21:56,800 --> 01:21:59,479
Speaker 1: minded person whenever it comes to looking at the data. Charles,

1506
01:21:59,479 --> 01:22:02,680
Speaker 1: thank you so much joining us. We really appreciate it. Yeah, absolutely,

1507
01:22:02,680 --> 01:22:04,680
Speaker 1: thank you so much for having me on. Charles, tell

1508
01:22:04,760 --> 01:22:07,200
Speaker 1: us a little bit about specifically what we saw. There

1509
01:22:07,200 --> 01:22:09,599
Speaker 1: were a lot of narratives out there. Just break down

1510
01:22:09,680 --> 01:22:12,920
Speaker 1: the actual data itself is out. Where are their increase,

1511
01:22:13,000 --> 01:22:15,840
Speaker 1: where are their decreases? What are some myths that have inenbusted,

1512
01:22:16,000 --> 01:22:19,000
Speaker 1: what are somes that have been confirmed? Yeah? Absolutely, so,

1513
01:22:19,320 --> 01:22:22,120
Speaker 1: you know, the top line, the FBI is the major

1514
01:22:22,240 --> 01:22:25,439
Speaker 1: entity that tracks this stuff. They look at a bunch

1515
01:22:25,439 --> 01:22:27,439
Speaker 1: of different figures, but sort of the standard way that

1516
01:22:27,439 --> 01:22:29,200
Speaker 1: we talk about this is that there are seven crimes,

1517
01:22:29,200 --> 01:22:32,400
Speaker 1: seven major crimes that they try to track consistently over time.

1518
01:22:32,479 --> 01:22:35,360
Speaker 1: And what we saw last year twenty twenty versus twenty

1519
01:22:35,439 --> 01:22:38,640
Speaker 1: nineteen is that there was a dramatic increase in homicide

1520
01:22:38,640 --> 01:22:43,320
Speaker 1: about thirty order thirty percent, smaller but still significantly increases

1521
01:22:43,360 --> 01:22:47,519
Speaker 1: off of a higher base in aggravated assaults and grand

1522
01:22:47,600 --> 01:22:50,360
Speaker 1: theft auto, which are both about eleven twelve percent, and

1523
01:22:50,400 --> 01:22:56,160
Speaker 1: then declines in other classes of property crime robbery, burglary, larceny,

1524
01:22:56,240 --> 01:22:59,280
Speaker 1: so Robert Berkeley order two to three percent, larscitie increases

1525
01:22:59,320 --> 01:23:02,280
Speaker 1: big actually I think increases like eight percent, a decreased

1526
01:23:02,360 --> 01:23:05,320
Speaker 1: like eight percent, largeity fail something like ten percent. So

1527
01:23:05,360 --> 01:23:08,920
Speaker 1: you know, the big synthetic picture that we saw in

1528
01:23:08,960 --> 01:23:11,719
Speaker 1: the FBI's data confirmed what we saw in city level

1529
01:23:11,760 --> 01:23:15,000
Speaker 1: data and state level data. There was a big increase

1530
01:23:15,040 --> 01:23:18,760
Speaker 1: in violence last year as measured by shootings and homicides.

1531
01:23:19,000 --> 01:23:22,680
Speaker 1: There was a notable precipitous decline in property offending last year,

1532
01:23:22,720 --> 01:23:26,040
Speaker 1: except with the exception of grand theft auto, which also

1533
01:23:26,160 --> 01:23:32,120
Speaker 1: rose substantially. How do these numbers overall, and the geographic

1534
01:23:32,200 --> 01:23:36,880
Speaker 1: distribution of these numbers compare to like the crack epidemic

1535
01:23:36,960 --> 01:23:42,439
Speaker 1: in the late eighties and early nineties. Yeah, so the

1536
01:23:42,479 --> 01:23:47,519
Speaker 1: to answer break parts. Geographically, crime is less focused in

1537
01:23:47,560 --> 01:23:50,360
Speaker 1: certain cities than it used to be the majority of

1538
01:23:50,360 --> 01:23:52,439
Speaker 1: the Old Woman Jordan. Crime still habits in large cities.

1539
01:23:52,479 --> 01:23:54,880
Speaker 1: That's a phenomenon of where population is. The more people

1540
01:23:54,920 --> 01:23:58,120
Speaker 1: you have in one place, the more crime is going

1541
01:23:58,160 --> 01:23:59,640
Speaker 1: to happen in that place, for both just sort of

1542
01:23:59,680 --> 01:24:02,360
Speaker 1: popular relation number of reasons, and also for concentration of

1543
01:24:02,400 --> 01:24:05,320
Speaker 1: people reasons. But it is the case that we saw

1544
01:24:05,400 --> 01:24:10,400
Speaker 1: increases in rural and suburban areas. In violent crime, it

1545
01:24:10,600 --> 01:24:13,240
Speaker 1: increases as part as retelling. Big cities was bigger in

1546
01:24:13,280 --> 01:24:16,920
Speaker 1: overall magnitude, but crime is overall less concentrated in the

1547
01:24:16,960 --> 01:24:19,240
Speaker 1: biggest cities than it used to be. In terms of

1548
01:24:19,439 --> 01:24:23,360
Speaker 1: sort of historical context. In violent crime, we remain below

1549
01:24:23,439 --> 01:24:25,840
Speaker 1: where we were in the sort of peak of violence

1550
01:24:26,120 --> 01:24:29,760
Speaker 1: nineteen eighties and early nineteen nineties. There has been so

1551
01:24:29,800 --> 01:24:32,639
Speaker 1: you know, we saw this dramatic crime decline between nineteen

1552
01:24:32,720 --> 01:24:35,960
Speaker 1: ninety one and ninety four and really two thousand and eight,

1553
01:24:36,000 --> 01:24:38,280
Speaker 1: tw thousand, nineteeny ten, and then there's really a leveling

1554
01:24:38,280 --> 01:24:41,680
Speaker 1: off in violent crime. So on the one hand, we're

1555
01:24:41,680 --> 01:24:44,599
Speaker 1: still were well below where we were a generation ago.

1556
01:24:45,000 --> 01:24:47,959
Speaker 1: On the other hand, last year's homicide increase in particular

1557
01:24:48,439 --> 01:24:51,160
Speaker 1: was the largest in terms of absolute numbers and percentage

1558
01:24:51,200 --> 01:24:54,400
Speaker 1: wise record, and we were much closer to where we

1559
01:24:54,400 --> 01:24:56,200
Speaker 1: were in the nineteen eighties and nineteen nineties. I think

1560
01:24:56,200 --> 01:24:58,960
Speaker 1: there's a conversation we had about whether we should expect

1561
01:24:59,000 --> 01:25:01,960
Speaker 1: a reversion to that, but it's certainly the case that

1562
01:25:02,000 --> 01:25:05,200
Speaker 1: we are close to the sort of height closer to

1563
01:25:05,240 --> 01:25:09,000
Speaker 1: those sort of worst years of violent crime in recent memory. So, Charles,

1564
01:25:09,160 --> 01:25:11,400
Speaker 1: one thing that has in a lot of people's minds

1565
01:25:11,520 --> 01:25:15,240
Speaker 1: is COVID. People freaked out during COVID in many ways.

1566
01:25:15,360 --> 01:25:17,000
Speaker 1: I mean, one of the things that was a hallmark

1567
01:25:17,280 --> 01:25:20,000
Speaker 1: of twenty twenty is you can't buy any ammunition, and

1568
01:25:20,040 --> 01:25:22,080
Speaker 1: it was very difficult to buy gun because there were

1569
01:25:22,120 --> 01:25:24,840
Speaker 1: lines that were out the door. Now I've actually seen

1570
01:25:25,120 --> 01:25:27,639
Speaker 1: both side of this argument. Many people are saying, see

1571
01:25:27,640 --> 01:25:30,640
Speaker 1: increase in gun sales led to more homicides. The other

1572
01:25:30,680 --> 01:25:32,960
Speaker 1: one was, well, there's more homicides, so people feel the

1573
01:25:33,040 --> 01:25:36,680
Speaker 1: need or people just feel really angry because of lockdowns

1574
01:25:36,680 --> 01:25:38,680
Speaker 1: and more. Can you disaggregate any of that? What do

1575
01:25:38,720 --> 01:25:41,320
Speaker 1: we know about that? Yeah, let me talk about COVID

1576
01:25:41,360 --> 01:25:43,839
Speaker 1: and guns separately, because I think they're two different stories.

1577
01:25:44,600 --> 01:25:46,839
Speaker 1: On the one hand, it's hard to suggest that COVID

1578
01:25:46,880 --> 01:25:49,880
Speaker 1: played no role in the relative increase. I mean just

1579
01:25:49,920 --> 01:25:53,240
Speaker 1: sort of in general, if something weird happened in twenty twenty,

1580
01:25:53,640 --> 01:25:55,320
Speaker 1: there has to have been some role for the biggest

1581
01:25:55,320 --> 01:25:57,559
Speaker 1: weirdest thing that happened in twenty twenty and determining that.

1582
01:25:58,280 --> 01:26:00,639
Speaker 1: And so I think it is improbable that COVID had

1583
01:26:00,680 --> 01:26:04,440
Speaker 1: no effect. Among other things, COVID led to large skilled decarcerations,

1584
01:26:04,680 --> 01:26:06,920
Speaker 1: just like letting offenders out of jail is going to

1585
01:26:07,000 --> 01:26:08,559
Speaker 1: have an impact. You could say it was worth it,

1586
01:26:08,560 --> 01:26:10,920
Speaker 1: but I just gonna have an impact. That said, I

1587
01:26:10,960 --> 01:26:13,680
Speaker 1: think there's some questions about if COVID can explain all

1588
01:26:13,720 --> 01:26:16,720
Speaker 1: of it. Most other developed countries did not experience a

1589
01:26:16,760 --> 01:26:21,200
Speaker 1: homicide increase last year. Similarly, violent countries like Mexico or

1590
01:26:21,240 --> 01:26:24,920
Speaker 1: Honduras did not experience a homicide increase last year. Similarly,

1591
01:26:25,040 --> 01:26:27,160
Speaker 1: armed countries did not experience a homset increase last year.

1592
01:26:27,200 --> 01:26:30,200
Speaker 1: They were all affected, often worse, by COVID than we were,

1593
01:26:30,240 --> 01:26:32,000
Speaker 1: So it has to be something unique about the United

1594
01:26:32,000 --> 01:26:36,479
Speaker 1: States that isn't you know, isn't adequately explained by COVID.

1595
01:26:36,640 --> 01:26:40,160
Speaker 1: Because the guns. There was a historic increase in gun

1596
01:26:40,200 --> 01:26:43,320
Speaker 1: purchasing last year. March twenty twenty is I think the

1597
01:26:44,280 --> 01:26:48,720
Speaker 1: most single month background checks since the guy started keeping track.

1598
01:26:48,800 --> 01:26:52,320
Speaker 1: This is like a lot of guns purchased. That said,

1599
01:26:52,840 --> 01:26:54,519
Speaker 1: we know a couple of things. We know that it

1600
01:26:54,560 --> 01:26:57,880
Speaker 1: takes a long time for illicitly purchased guns to move

1601
01:26:57,960 --> 01:27:00,679
Speaker 1: from the hands of listen owners to coming to learners.

1602
01:27:00,720 --> 01:27:04,080
Speaker 1: The ATF estimates is about seven years on average. And

1603
01:27:04,120 --> 01:27:06,839
Speaker 1: we know that there isn't a correlation between the states

1604
01:27:06,840 --> 01:27:09,479
Speaker 1: that saw the most gun purchase increases and the states

1605
01:27:09,479 --> 01:27:13,040
Speaker 1: of so the largest homicide increases. There is some evidence

1606
01:27:13,120 --> 01:27:15,479
Speaker 1: that there was an increase in gun carrying last year,

1607
01:27:15,520 --> 01:27:19,400
Speaker 1: that people were like walking on with guns more. I

1608
01:27:19,400 --> 01:27:22,080
Speaker 1: think it is it is plausible that that also played

1609
01:27:22,080 --> 01:27:25,559
Speaker 1: a role in the violence increase. Although sort of understanding

1610
01:27:25,600 --> 01:27:27,600
Speaker 1: why people did that sort of you know, pushes but

1611
01:27:27,680 --> 01:27:29,800
Speaker 1: who's the goalplace lived, It's like, why did people make

1612
01:27:29,840 --> 01:27:32,599
Speaker 1: that change? That makes sense, Charles. One of the things

1613
01:27:32,640 --> 01:27:35,880
Speaker 1: that's difficult about this data is, first of all, a

1614
01:27:35,960 --> 01:27:39,559
Speaker 1: saga alluded to. Everyone projects their own sort of like

1615
01:27:39,680 --> 01:27:43,400
Speaker 1: political inclinations onto it. So if you're on the left,

1616
01:27:43,479 --> 01:27:46,000
Speaker 1: you may be more likely to point to, you know,

1617
01:27:46,080 --> 01:27:48,800
Speaker 1: you had this massive economic crash, you had COVID, you

1618
01:27:48,840 --> 01:27:51,479
Speaker 1: had these huge life disruptions. If you're on the right,

1619
01:27:51,720 --> 01:27:53,839
Speaker 1: you may be more likely to point to the social

1620
01:27:54,000 --> 01:27:57,439
Speaker 1: justice protests that we had in the backlash against police

1621
01:27:57,439 --> 01:28:00,000
Speaker 1: shootings and what that may have done. You know, honestly,

1622
01:28:00,080 --> 01:28:02,360
Speaker 1: there was very little policy change in terms of policing,

1623
01:28:02,400 --> 01:28:04,679
Speaker 1: but what that may have done to police officer morale

1624
01:28:04,760 --> 01:28:07,840
Speaker 1: and those sorts of things. So very easy to project

1625
01:28:07,960 --> 01:28:11,479
Speaker 1: whatever your favorite hypothesis is onto this sort of data,

1626
01:28:12,040 --> 01:28:14,120
Speaker 1: and it seems to me very hard to actually get

1627
01:28:14,120 --> 01:28:17,000
Speaker 1: at the answers. I mean, people are still debating why

1628
01:28:17,040 --> 01:28:19,919
Speaker 1: you had these massive spikes and then even more critically,

1629
01:28:20,040 --> 01:28:22,479
Speaker 1: why you ultimately had a massive decline that you pointed

1630
01:28:22,479 --> 01:28:25,360
Speaker 1: to around nineteen ninety four. There are all sorts of

1631
01:28:25,400 --> 01:28:29,799
Speaker 1: different competing explanations here. So is it even really possible

1632
01:28:29,840 --> 01:28:32,519
Speaker 1: with these sets of data to actually come to an

1633
01:28:32,600 --> 01:28:36,160
Speaker 1: answer about what happened? Why did we have this spike

1634
01:28:36,200 --> 01:28:38,960
Speaker 1: in this year? And now it seems like things are

1635
01:28:39,000 --> 01:28:42,599
Speaker 1: trending in a better direction in twenty twenty one. You know,

1636
01:28:42,720 --> 01:28:45,200
Speaker 1: why is that the case? Is it even really possible

1637
01:28:45,240 --> 01:28:48,040
Speaker 1: to sort of figure those things out? Yeah, I mean

1638
01:28:48,240 --> 01:28:50,280
Speaker 1: the answer is at the highest level. No, it's not.

1639
01:28:51,600 --> 01:28:54,400
Speaker 1: At the highest level of certainty. We can't know because

1640
01:28:54,439 --> 01:28:58,120
Speaker 1: so many different events happened simultaneously. It's and this is

1641
01:28:58,120 --> 01:29:01,160
Speaker 1: true across the board. Disentangling the effects of COVID from

1642
01:29:01,200 --> 01:29:04,280
Speaker 1: the effects of protests, from the effects of you know,

1643
01:29:04,320 --> 01:29:07,360
Speaker 1: policies of a cosmic COVID is impossible, certainly with the

1644
01:29:07,439 --> 01:29:11,160
Speaker 1: degree of certainty that econd of metrition social scientists want.

1645
01:29:11,600 --> 01:29:15,240
Speaker 1: That said, I think you can get suggestive evidence, you

1646
01:29:15,280 --> 01:29:18,040
Speaker 1: can say, you know what, I tend to think that

1647
01:29:18,320 --> 01:29:22,200
Speaker 1: there's a significant role played by depolicing in general, by

1648
01:29:22,200 --> 01:29:26,360
Speaker 1: a decline in police levels and the police activity that

1649
01:29:26,560 --> 01:29:31,040
Speaker 1: was related to the protests that you alluded to. I

1650
01:29:31,040 --> 01:29:32,800
Speaker 1: think that for a couple of reasons. One is that

1651
01:29:32,920 --> 01:29:36,400
Speaker 1: there really are in many large cities immediate dramatic spikes

1652
01:29:36,479 --> 01:29:39,600
Speaker 1: in violence just after the protests begin. The sort of

1653
01:29:39,640 --> 01:29:41,800
Speaker 1: timing is very suggestive. And another is that we have

1654
01:29:41,920 --> 01:29:45,679
Speaker 1: seen together in large cities, dramatic declines in police stopping

1655
01:29:45,760 --> 01:29:48,519
Speaker 1: levels and in police activity. I think that's not a

1656
01:29:48,520 --> 01:29:51,840
Speaker 1: just positive explanation, and you can't ever, You're right, you

1657
01:29:51,880 --> 01:29:54,479
Speaker 1: can't say because the other piece is that because the

1658
01:29:54,479 --> 01:29:57,879
Speaker 1: other pieces that you know, this happened across the country,

1659
01:29:58,120 --> 01:30:01,720
Speaker 1: so it's widely geographically the distributed, so it's hard to

1660
01:30:01,760 --> 01:30:05,000
Speaker 1: say that's the whole of what was going on here, right, Yeah,

1661
01:30:05,040 --> 01:30:07,920
Speaker 1: And I think the most persuasive story is going to

1662
01:30:07,960 --> 01:30:10,880
Speaker 1: be multi causal. That again, I think it is hard

1663
01:30:10,880 --> 01:30:13,360
Speaker 1: to say that COVID had no effect. We have no

1664
01:30:13,479 --> 01:30:17,120
Speaker 1: good estimates of what deincarceration as a COVID policy had.

1665
01:30:17,160 --> 01:30:19,240
Speaker 1: We have no idea because we don't have great measures

1666
01:30:19,280 --> 01:30:22,200
Speaker 1: of how many people are in jail on any single day.

1667
01:30:22,960 --> 01:30:24,599
Speaker 1: We don't have a good estimate of what the different

1668
01:30:24,600 --> 01:30:28,080
Speaker 1: COVID policies did. So I think it is the best

1669
01:30:28,160 --> 01:30:30,000
Speaker 1: and most persuasive story is going to be a multi

1670
01:30:30,000 --> 01:30:32,160
Speaker 1: causal one where we say to a bunch of different

1671
01:30:32,160 --> 01:30:34,280
Speaker 1: factors and it's hard to entangle them, but we have

1672
01:30:34,320 --> 01:30:37,120
Speaker 1: suggestive evidence for what is more and less important. My

1673
01:30:37,200 --> 01:30:40,080
Speaker 1: last question, Charles, is about where things are trending, and

1674
01:30:40,160 --> 01:30:43,880
Speaker 1: so we had a terrible year in twenty twenty. What

1675
01:30:44,000 --> 01:30:47,240
Speaker 1: does the city state level data look like right now?

1676
01:30:47,240 --> 01:30:49,280
Speaker 1: Are we going to continue to have the same level spike?

1677
01:30:49,840 --> 01:30:52,080
Speaker 1: Is it going to return to the baseline somewhere in

1678
01:30:52,080 --> 01:30:55,200
Speaker 1: the middle. What do things look like? So, based on

1679
01:30:55,280 --> 01:30:58,920
Speaker 1: what we know so far, rates of homicide and violent

1680
01:30:58,960 --> 01:31:04,000
Speaker 1: crime are still elevated above twenty nineteen. They're slightly elevated

1681
01:31:04,000 --> 01:31:06,519
Speaker 1: above or slightly below where they were in twenty twenty.

1682
01:31:06,520 --> 01:31:10,960
Speaker 1: So basically, you know, the we're about where we were

1683
01:31:11,040 --> 01:31:14,400
Speaker 1: last year, which is not great by comparison to the baseline.

1684
01:31:14,880 --> 01:31:17,439
Speaker 1: If that's going to revert long term, that's an open question.

1685
01:31:17,560 --> 01:31:20,000
Speaker 1: You know, we saw a becom a side spike twenty

1686
01:31:20,000 --> 01:31:22,720
Speaker 1: fifteen twenty sixteen, and then we were there was there,

1687
01:31:22,760 --> 01:31:26,160
Speaker 1: was me and reversion. I would guess that the same

1688
01:31:26,160 --> 01:31:28,120
Speaker 1: thing will happen in twenty twenty two. You know, I

1689
01:31:28,200 --> 01:31:30,280
Speaker 1: think we're not. My guess is we're not going to

1690
01:31:30,280 --> 01:31:32,559
Speaker 1: see another crime wave for the simple reason that you know,

1691
01:31:32,600 --> 01:31:36,160
Speaker 1: demographic factors and structural factors militate against it. But I

1692
01:31:36,160 --> 01:31:38,240
Speaker 1: would not be surprised if twenty twenty one is as

1693
01:31:38,320 --> 01:31:40,439
Speaker 1: bad as twenty twenty and then we sort of see

1694
01:31:40,439 --> 01:31:42,800
Speaker 1: a return to normal that's my least worst guest at

1695
01:31:42,800 --> 01:31:45,880
Speaker 1: this time. Interesting. Thank you so much Charles for helping

1696
01:31:45,960 --> 01:31:47,400
Speaker 1: us sort through the data and make sense of it.

1697
01:31:47,400 --> 01:31:50,559
Speaker 1: We're really grateful. Thank you, Charles, absolutely, thank thanks having

1698
01:31:50,560 --> 01:31:53,599
Speaker 1: me on. All right, everybody, thank you guys so much

1699
01:31:53,680 --> 01:31:56,759
Speaker 1: for watching. We really appreciate it. Christal, we literally already

1700
01:31:56,800 --> 01:31:59,040
Speaker 1: got the news that one of our segments has been demonetized.

1701
01:31:59,080 --> 01:32:01,439
Speaker 1: The show's not even over, but our production team is

1702
01:32:01,520 --> 01:32:04,080
Speaker 1: uploading stuff kind of as we go. I was checking

1703
01:32:04,120 --> 01:32:07,639
Speaker 1: my email in between, and it's already there. So look,

1704
01:32:07,800 --> 01:32:10,040
Speaker 1: here's the deal. The only way that we can make

1705
01:32:10,080 --> 01:32:11,960
Speaker 1: sure that we do the show exactly the way that

1706
01:32:12,000 --> 01:32:14,439
Speaker 1: we need to is if you guys support us become

1707
01:32:14,439 --> 01:32:17,280
Speaker 1: a premium subscriber. I mean, it makes it so that

1708
01:32:17,360 --> 01:32:20,880
Speaker 1: we don't have to worry about both customer experience and

1709
01:32:21,400 --> 01:32:23,600
Speaker 1: in terms of what's important what's not. We're going to

1710
01:32:23,680 --> 01:32:26,160
Speaker 1: pick the topics that we need to. Or let's say,

1711
01:32:26,160 --> 01:32:27,719
Speaker 1: if we want to play a clip but we're worried

1712
01:32:27,720 --> 01:32:30,160
Speaker 1: about copyright or something, we should play the clip to

1713
01:32:30,200 --> 01:32:32,800
Speaker 1: make sure that everybody's getting the most important news of

1714
01:32:32,800 --> 01:32:36,440
Speaker 1: the day, rather than us having to gain some monetization

1715
01:32:36,479 --> 01:32:39,040
Speaker 1: algorithm yeah, one hundred percent. I mean, you know, one

1716
01:32:39,040 --> 01:32:41,280
Speaker 1: thing we talk a lot about on the show is incentives,

1717
01:32:41,360 --> 01:32:43,640
Speaker 1: the way they shape behavior, and we want all of

1718
01:32:43,640 --> 01:32:47,040
Speaker 1: our incentives to be aligned in just providing you the

1719
01:32:47,120 --> 01:32:49,840
Speaker 1: content that we think is important, that we think needs

1720
01:32:50,200 --> 01:32:53,400
Speaker 1: sorting through, and you know, bringing that to you in

1721
01:32:53,560 --> 01:32:56,960
Speaker 1: as direct and straightforward away as possible. And so we

1722
01:32:57,000 --> 01:33:01,640
Speaker 1: intentionally created this particular model to help enable us to

1723
01:33:01,680 --> 01:33:04,559
Speaker 1: do that. So you guys are the best. Thank you

1724
01:33:04,600 --> 01:33:06,320
Speaker 1: for being there for us. I'm actually so I'm looking

1725
01:33:06,360 --> 01:33:08,880
Speaker 1: at the segments. I'm like, what got to you monetize I?

1726
01:33:09,000 --> 01:33:10,720
Speaker 1: You know, normally I don't have it or don't have

1727
01:33:10,760 --> 01:33:13,519
Speaker 1: it here? Which things are an edgy? Yeah? Which things

1728
01:33:13,560 --> 01:33:15,800
Speaker 1: are edgy? And which might be you know, they might

1729
01:33:15,800 --> 01:33:18,200
Speaker 1: find like, oh you've said the word siia, I can't

1730
01:33:18,200 --> 01:33:21,040
Speaker 1: have that or whatever. Nine to eleven. I don't even

1731
01:33:21,120 --> 01:33:23,040
Speaker 1: know with this one. So all right, find out. But

1732
01:33:23,200 --> 01:33:25,080
Speaker 1: thank you guys for being there for us. We love you,

1733
01:33:25,280 --> 01:33:27,000
Speaker 1: have a great day, and we'll see you back here

1734
01:33:27,040 --> 01:33:43,960
Speaker 1: on Thursday. See Thursday. Thanks for listening to the show, guys,

1735
01:33:44,000 --> 01:33:46,519
Speaker 1: we really appreciate it. To help other people find the show,

1736
01:33:46,600 --> 01:33:48,559
Speaker 1: go ahead and leave us a five star rating on

1737
01:33:48,640 --> 01:33:52,120
Speaker 1: Apple Podcasts or wherever you get your podcasts really helps

1738
01:33:52,160 --> 01:33:55,439
Speaker 1: other people find the show as always special. Thank you

1739
01:33:55,479 --> 01:33:58,840
Speaker 1: to super Cast for powering our premium membership. If you

1740
01:33:58,880 --> 01:34:02,080
Speaker 1: want to find out more, to Crystalansager dot com