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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: listen to the entire show ad free and uncut, an

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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: So what are you waiting for? Go to Breakingpoints dot

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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 we have Crystal. Indeed, we do a lot of

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Speaker 1: good stuff to get into today. First of all, some

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Speaker 1: scientists pushing back on the idea that every American needs

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Speaker 1: to get a third booster shot. We'll dig into the

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Speaker 1: science there. Doctor Fauci throwing his support behind a travel

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Speaker 1: ban for people who are unvaccinated. There's a new venture

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Speaker 1: being launched by some Kamala Harris alums that I think

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Speaker 1: you all are going to find very interesting and kind

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Speaker 1: of right on the nose with that one. Also a

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Speaker 1: weird moment in the hearing yesterday. Anthony blancoln Secretary of State,

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Speaker 1: was being pressed on the Afghan withdrawal and how things

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Speaker 1: went there, but one Republican congressman seemed to press him

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Speaker 1: very specifically on whether or not he'd been interviewed by

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Speaker 1: the FBI with regards to Hunter Biden. We're going to

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Speaker 1: dig into what that was all about. We've got Derek

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Speaker 1: Thompson and just wrote a fantastic piece about why Americans

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Speaker 1: are dying at much higher rates than any other developed nation.

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Speaker 1: But we wanted to start with the big California gubernatorial recall.

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Speaker 1: Today is the day, the last day for voters to

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Speaker 1: head to the polls to find out whether they're going

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Speaker 1: to keep Democratic Governor Gavin Newsom or go in another direction.

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Speaker 1: The top Republican candidate at this point has been Larry Elder.

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Speaker 1: He is a conservative, right wing radio host. Here's the

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Speaker 1: state of the polling averages. This is from five thirty

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Speaker 1: eight you can see and we've covered this and I

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Speaker 1: talked about it yesterday in my monologue. Back in early August,

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Speaker 1: this thing was tied. It was really close on the

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Speaker 1: question of whether or not to recall Gavin Newsom. Since then, effectively,

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Speaker 1: since Larry Elder became the clear alternative, things have changed

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Speaker 1: quite a bit. So at this point you've got about

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Speaker 1: a fifteen or sixteen point spread in favor of Gavin Newsom.

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Speaker 1: That means that even if you factor in the normal

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Speaker 1: poll bias of like eight points for a Republican, you're

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Speaker 1: still pretty well in the clear. Also, the turnout data

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Speaker 1: seems to back that up. Originally, Democrats very apathetic, Republicans

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Speaker 1: much more fired up. That was always the question mark,

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Speaker 1: is our Democrat's going to turn out to save Gavin

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Speaker 1: Newsom's bacon Because of course there are way more Democrats

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Speaker 1: in the state of California than there are Republicans. It

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Speaker 1: seems like Democrat turnout enthusiam as them has surged and

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Speaker 1: they are in fact going in casting those ballots, making

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Speaker 1: it very very difficult for Republicans at this point. Well,

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Speaker 1: our premium subscribers heard it. But you know, in our

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Speaker 1: discussion after your radar or meteloge sorry yesterday, what did

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Speaker 1: we talk about. We talked about exactly this, which is

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Speaker 1: that as long as it was a referendum on Newsome

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Speaker 1: with no clear alternative, the way that it kind of

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Speaker 1: was with Gray Davis back in two thousand and three. Yeah,

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Speaker 1: then people were like, I'm not voting for Gavin Newsom,

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Speaker 1: I can't stand him. But the sooner became became about

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Speaker 1: Larry Elder with about three weeks to go, just enough

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Speaker 1: time mail in ballots at the same time that we

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Speaker 1: have people who will be energized out to vote and

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Speaker 1: could be targeted. It wasn't a late surch type thing.

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Speaker 1: People said, Wait, I don't actually want some like Boomer

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Speaker 1: Republican to be the governor of California. So as much

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Speaker 1: as I hate Gavin Newsom, or I don't even like

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Speaker 1: Gavin Newsom, or I'm totally apathetic about Gavin Newsom, I

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Speaker 1: don't necessarily want somebody who opposes like the minimum wage

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Speaker 1: for example, for example, that's really the issue that I

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Speaker 1: think that Larry Elder is he let the race get

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Speaker 1: defined about him specifically, and it was never about Gavin.

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Speaker 1: But you pulled and look, you know, we try to

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Speaker 1: do as good of a job as we can to

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Speaker 1: like look into the absolute details of what's going on here.

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

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Speaker 1: La Times. It's really fascinating. So that piece on the right,

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Speaker 1: that graphic of California, just for those who are listening,

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Speaker 1: it shows the Google ads that were spent targeting both

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Speaker 1: Democrats and Republicans. So for Democrats on the left side

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Speaker 1: of the screen with the state of California highlighted, it

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Speaker 1: shows the majorly populated areas San Diego, Los Angeles, Sacramento, Oakland,

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Speaker 1: San Francisco, all of those. On the right side of

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Speaker 1: the screen you can see where Republicans and Larry Elder

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Speaker 1: groups spent a lot of their money, and it's basically

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Speaker 1: all of the rest of the part. So once again,

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Speaker 1: even inside the state of California, the recall election is

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Speaker 1: about what. It's about class, it's about geography, It's about

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Speaker 1: so much more educational divide, the downwardly mobile versus the

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Speaker 1: upwardly mobile. It really just goes to show you who

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Speaker 1: exactly they are trying to target and trying to drive

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Speaker 1: people out well. And it's interesting too because while you

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Speaker 1: look at when you look at those maps, it looks

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Speaker 1: like mirror image. It's like a puzzle pace. I mean,

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Speaker 1: they're truly speaking to totally different zip codes, totally different audiences,

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Speaker 1: and we're about to show you their messaging also to

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Speaker 1: those groups are radically different. The one area where there

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Speaker 1: was overlap, according to this La Times piece, was in

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Speaker 1: some of the majority black neighborhoods in some of the

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Speaker 1: big cities where Larry Elder thought that perhaps his background

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Speaker 1: and his sort of like up by the Bootstrap story

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Speaker 1: might appeal in those areas. He was marketing them with

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Speaker 1: messages about charter schools and stuff like that, but really

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Speaker 1: speaking to two very different constituencies, two very different ideologies.

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Speaker 1: That shows in the ad. Let's take a listen to

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Speaker 1: one of Larry Elder's closing ads here and what his

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Speaker 1: pitch was to Californians. People are leaving California for the

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Speaker 1: very first time in this state's history. The state is

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Speaker 1: one hundred and seventy years old, and people are leaving.

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Speaker 1: Why rising crime, rising homelessness, the outrageous cost of living,

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Speaker 1: the way this governor shut down this state in the

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Speaker 1: most severe way compared to the other forty nine states.

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Speaker 1: Vote to recall Gavin Newsom. I'm Larry Elder, and we

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Speaker 1: have a state to save. So you see Elder there

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Speaker 1: very much trying to localize the race. Let's talk about crime,

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Speaker 1: Let's talk about homelessness, Let's talk about local California issues.

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Speaker 1: Gavin Newsom, on the other hand, and I think successfully

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Speaker 1: wanted to nationalize this race. Make it about Donald Trump.

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Speaker 1: Make it about Republicans, the law that just passed in Texas,

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Speaker 1: tying Larry Elder, and justifiably because he has some really

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Speaker 1: out their views, but tying to Larry elders the most

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Speaker 1: extreme elements of the party, bringing in big influencers with

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Speaker 1: a lot of cachet, and the Democratic Party like Barack Obama,

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Speaker 1: who cut this ad for Gavin Newsom. Let's take a listen,

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Speaker 1: Hello Californians, You've got a big choice to make. By

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Speaker 1: September fourteenth, Governor Newsom has spent the past year and

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Speaker 1: a half protecting California communities. Now Republicans are trying to

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Speaker 1: recall him. From office and overturn common sense COVID safety

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Speaker 1: measures for healthcare workers and school staff. Your vote could

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Speaker 1: be the difference between protecting our kids and putting them

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Speaker 1: at risk, helping Californians recover, or taking us backwards protect

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Speaker 1: California by voting no on the Republican recall. A couple

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Speaker 1: things that are noteworthy about that ad. Number one for

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Speaker 1: those who are just listening. Picture there of Larry Elder

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Speaker 1: next to Donald Trump, which is like sponk him in

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Speaker 1: that ring, a mainstay of like every ad the Gavin

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Speaker 1: Newsom cut in this race. I have played a different

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Speaker 1: one yesterday that had that same picture of Larry Elder

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Speaker 1: and Trump. There's also another image there of January sixth

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Speaker 1: and the rioters at the Capitol, and then their messaging

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Speaker 1: is really around the coronavirus. They're leaning in actually to

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Speaker 1: some of the restrictions the vaccine requirements that Newsom has

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Speaker 1: put in place for teachers and healthcare workers, et cetera.

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Speaker 1: And I have to say, you know, as much as

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Speaker 1: some of these other issue homelessness, crime, et cetera, those

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Speaker 1: are things that are important of people. Delta variot in

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Speaker 1: COVID is still the number one defining issue, and in

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Speaker 1: the state of California in particular, Democrats are on the

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Speaker 1: right side of what people want with regards to that issue. Also, look,

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Speaker 1: here's the deal Biden won that stayed by twenty nine points,

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Speaker 1: and actually only ten years ago it was won by

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Speaker 1: a Republican by twelve points, so the margin doubled in

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Speaker 1: terms of the way the California continued to Yeah, so interestingly,

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Speaker 1: Trump picked up one point five million more votes last

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Speaker 1: time around than he did in twenty six. Very true.

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Speaker 1: And you know, there's a lot to be said exactly

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Speaker 1: who those people were Orange County, a lot of Latinos,

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Speaker 1: And you know, that's a discussion, I think for another day.

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Speaker 1: But if you see exactly what was President Biden's closing argument,

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Speaker 1: he was there, it was very late East Coast time.

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Speaker 1: But here's what he said last night at a Gavin

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Speaker 1: Newsom rally. Quote, you either keep Gavin Newsom as your

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Speaker 1: governor or you'll get Donald Trump. It's not a joke.

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Speaker 1: Don't take anything for granted. So there you go. Yeah,

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Speaker 1: classic Bidenism. It's a joke. It's not a joke. Folks

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Speaker 1: never think it is. But what do you say from

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Speaker 1: that it's all about Trump, Trump, Trump, Trump, Trump. And

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Speaker 1: you you know, talked a lot about this back in

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Speaker 1: the twenty twenty election, which is that for a lot

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Speaker 1: of Democrats that was all you have to say, He's

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Speaker 1: not Trump or it's all about Trump. Do you want

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Speaker 1: Trump back? This is as close to Trump as you're

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Speaker 1: gonna get. That's another thing that Biden said. Gavin Newsom said,

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Speaker 1: we defeated Trump, but we haven't defeated trump Ism. As

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Speaker 1: if Larry Elder is, you know, some paragon of trump Ism.

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Speaker 1: But whatever. It just goes to show you how Trump

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Speaker 1: himself is such a lightning rod in these races that

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Speaker 1: defining it around him is the best strategy that the

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Speaker 1: Democrats have. They do not want to talk about Gavin Newsom,

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Speaker 1: They don't want to talk about French laundry, and they

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Speaker 1: don't even want to talk about closing outdoor dining even

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Speaker 1: though it's la and there's no evidence of outdoor transmission.

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Speaker 1: And what does Trump do? Does he do the smart thing?

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Speaker 1: Does he sit out on the sidelines try to raise

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Speaker 1: money for Larry Elder his friend? Right? No, he does

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Speaker 1: the dumbest thing possible, exactly what he did back in Georgia.

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Speaker 1: Let's put this up there on the screen, puts out

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Speaker 1: a statement, goes ahead and says that even though the

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Speaker 1: election hasn't even happened yet, that the election is rigged. Quote,

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Speaker 1: does anybody really believe the California recall election isn't rigged?

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Speaker 1: Millions and millions of mail in ballots will make this

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Speaker 1: just another giant election scam, no different but less blatant

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Speaker 1: than the twenty twenty presidential election scam. Now in astute

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Speaker 1: observer might point out the fact that, oh, I don't know,

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Speaker 1: given the fact that most Republicans and twenty twenty actually

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Speaker 1: came out to vote on election day and didn't vote

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Speaker 1: in the mail in ballots, calling it rigged on the

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Speaker 1: day before the election, Mike just depressed turnout. Now, Mike Cernovich,

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Speaker 1: who is one of those Larry Elder supporters, actually lives

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Speaker 1: in California, was one of the only MAGA people that

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Speaker 1: I saw even be willing to point this out. Go

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Speaker 1: ahead and put this up there on the screen, he says. Quote.

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Speaker 1: Telling people on the elite eve of an election that

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Speaker 1: it's rigged is voter suppression. Trump is literally suppressing pro

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Speaker 1: recall votes. Unreal, So many of you idiots can't see

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Speaker 1: this unfollowing much respect to Mike, much respect to anybody

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Speaker 1: who can see the obvious truth. This is exactly what

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Speaker 1: happened in Georgia. If just the number of people in

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Speaker 1: the state of Georgia who voted by mail in the

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Speaker 1: Republican primary, in the primary in which Trump won obviously

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Speaker 1: not even a competitive primary, had then voted in the

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Speaker 1: general election, he would have won the state of Georgia

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Speaker 1: in the twenty twenty election. And if he had not

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Speaker 1: gone after mail in balloting, he explicitly would have won

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Speaker 1: the state of Georgia, no question. Then in terms of

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Speaker 1: the Georgia Senate races, it's the exact same thing. A

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Speaker 1: lot of people stayed home. He literally suppressed his own vote.

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Speaker 1: Lynn Wood and all those people talking about how the

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Speaker 1: election was stolen and they said, we're not going to

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Speaker 1: go out and vote for these Republican senators. Congrats, you

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Speaker 1: played yourselves. Now, Look, Larry Elder, was he probably gonna

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Speaker 1: lose anyway? Yeah? Maybe, But what is the what's the

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Speaker 1: margin now going to be? Like, it's gonna be probably

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Speaker 1: it could be like fifteen twenty points. Maybe it would

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Speaker 1: have been five if Larry Elder came within five seven,

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Speaker 1: I would say anything more than ten, that's still look

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Speaker 1: pretty scared. Like when Ted Cruz only won by two

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Speaker 1: points over Beto, a lot of people still took a

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Speaker 1: lot of notice of that. So once again, Trump is

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Speaker 1: probably the dumbest political operator of our generation. The only

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Speaker 1: person he seems to benefit is himself and destroys many

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Speaker 1: national Republicans. He's pretty decent about getting himself elected. That's

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Speaker 1: about it. It's like Obama, I was gonna say, very

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Speaker 1: obama esque. In fact, there is one other thing we

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Speaker 1: should say here, which is that this recall process is

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Speaker 1: extremely stupid, like the fact that so the way that

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Speaker 1: this works is voters get asked two questions. The first

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Speaker 1: question is just do you want to keep Gavin Newsom

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Speaker 1: or recall him? And then the next question is, okay,

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Speaker 1: who would you replace him with? So you're not putting

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Speaker 1: him head to head against who his likely opponent would be.

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Speaker 1: And that's why Republicans had a shot here to begin with.

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Speaker 1: So you could, in theory, have a situation where Gavin

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Speaker 1: Newsom effectively gets forty nine percent of the vote and

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Speaker 1: then loses to someone like Larry Elder, who gets like

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Speaker 1: thirty percent of the vote, right, So that's a stupid system.

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Speaker 1: And I think one of the things that we'll see

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Speaker 1: it's been in place for over one hundred years at

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Speaker 1: this point in California. One of the things that we're

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Speaker 1: likely to see out of this is I think that

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Speaker 1: Democrats are probably going to change this process because it

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Speaker 1: does not make a lot of sense. But look, you

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Speaker 1: can see in the polling Republicans had a shot here.

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Speaker 1: They had a shot because Democrats were kind of apathetic,

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Speaker 1: they'd gone back to brunch. They weren't really taking this seriously.

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Speaker 1: They weren't in love with Gavin Neuws although his approval

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Speaker 1: ratings haven't dipped below fifty percent during the course of

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Speaker 1: this recall election, so he wasn't that unpopular. He just

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Speaker 1: was kind of uninspiring. The minute that this became a

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Speaker 1: choice instead of a referendum on Gavin news and became

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Speaker 1: a choice between Newsome and Elder, the polls moved dramatically. Now, look, Poles,

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Speaker 1: who knows who knows this would be if it did

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Speaker 1: end up in a Larry Elder victory, it would be

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Speaker 1: even more of it would be like double the miscalculation,

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Speaker 1: the error of what we saw in twenty twenty. So

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Speaker 1: that's the level of myths that you would have to

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Speaker 1: have by you know who. I guess crazy crazier things

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Speaker 1: have happened. But today it looks pretty bad for the

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Speaker 1: GOP chances. Yeah, it certainly does. Trump of course, you know,

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Speaker 1: just pouring gas on the fire. Just never just helpful

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Speaker 1: as always, right, Saga, it really is all right, So

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Speaker 1: interesting news on those booster shots, Saga. Yeah, so I

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Speaker 1: mentioned some of this, a little bit of this news

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Speaker 1: about FDA officials within the government who resigned, and it

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Speaker 1: appeared that they had resigned over the Biden administrations. What

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Speaker 1: they saw is too speedy of an embrace of recommending

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Speaker 1: that all Americans get a booster shot after six months. Well,

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Speaker 1: they've now actually come out and specifically panned the Biden

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Speaker 1: administration's policy. Let's go ahead and put this up there

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Speaker 1: on the screen. The experts who resigned there say, quote,

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Speaker 1: the average person doesn't need a COVID nineteen booster yet.

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Speaker 1: So including the top two US regulators from the FDA

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Speaker 1: who left there, this published this in a scientific journal.

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Speaker 1: Here's what they said, even in populations with fairly high

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Speaker 1: vaccination rates, the unvaccinated are still the majority drivers of transmission, however,

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Speaker 1: and what they point to in the Lancet is that

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Speaker 1: intense scientific debate about who needs the booster and when

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Speaker 1: is not something that the US had followed through specifically

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Speaker 1: on before they kind of got ahead of their skis

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Speaker 1: and recommended that all Americans go ahead and get a booster.

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Speaker 1: Why does all of this matter? Public health communic number one?

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Speaker 1: Do you need a booster or not? Right? Is that

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Speaker 1: going to be part of one of the official government recommendations?

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Speaker 1: Would that become part of vaccine mandates, vaccine passports, all

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Speaker 1: that nonsense, you know, in terms of like, oh, are

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Speaker 1: we gonna get the like are you gonna be allowed

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Speaker 1: to eat in New York City if you don't have

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Speaker 1: your booster in six months? That's a big question. Right.

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Speaker 1: All of that, of course comes into play. But really

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Speaker 1: what it is is that the messaging around this, or

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Speaker 1: should I say the mess of the messaging around this,

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Speaker 1: dramatically undermines confidence in vaccines. One of the things that

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Speaker 1: you most common hear from anti vaxxers or people who

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Speaker 1: don't want to get the COVID shot is like, oh,

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Speaker 1: little piggy like lining up to get your ninth booster

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Speaker 1: or whatever once a month. And then they'll also point

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Speaker 1: to the fact that many people on the booster can

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Speaker 1: even really agree who needs one? What? Where does everybody

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Speaker 1: need one? And then when you pair that back, it

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Speaker 1: becomes an undermines confidence overall in the entire public health regime.

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Speaker 1: I pointed that data to you, chrisaul about the Johnson

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Speaker 1: and Johnson vaccine, that every single day leading up to

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Speaker 1: the pause in the Johnson and Johnson vaccine had seen

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Speaker 1: an exponential increase Melok. Obviously it was still early in

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Speaker 1: the process, but the moment that vaccination appointments began to

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Speaker 1: dip and never recovered critically, was exactly after that pause

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Speaker 1: over the blood clotting issue. It was such a dramatic mistake,

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Speaker 1: and I think is very much in the same thing

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Speaker 1: where you know, they got ahead of their skis. They

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Speaker 1: wanted to make sure that they could. They're like, we

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Speaker 1: want to project confidence over these rising delta variants and more.

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Speaker 1: But the actual science and specifically the scientists themselves within

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Speaker 1: the FDA did not agree. Resigned over the plan. Now

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Speaker 1: hitting back at them in the own pages of the Lancet,

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Speaker 1: which is you know, a Medical Journal, you know, didn't

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Speaker 1: exactly color itself in glory with the whole lab leak thing.

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Speaker 1: But still within the public health community, that's right. But

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Speaker 1: within the public health community who deeply respects all this stuff,

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Speaker 1: this is a very serious shot across the bout what

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Speaker 1: they've done. You know, I think it's dice to get

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Speaker 1: into the psychology of like, how are people going to

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Speaker 1: interpret it? And this is is this going to fuel

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Speaker 1: more vaccine resistance? Et cetera, et cetera. All I want

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Speaker 1: is to know whether the data justifies I agree, and

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Speaker 1: what it looks like. And what these scientists have also

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Speaker 1: seemed to indicate is that the Biden administration made a

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Speaker 1: decision here that was more political than based on data.

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Speaker 1: Now what they looked at that made them move in

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Speaker 1: this direction, they say, of booster shots for the general population,

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Speaker 1: not just the elderly, not just themmunal compromise. There are

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Speaker 1: populations where it's pretty clear at this point they would

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Speaker 1: benefit from a booster shot, but we're talking about for

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Speaker 1: the general population here. There was data that came out

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Speaker 1: of Israel where they saw for people who were sixty

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Speaker 1: or older, they had better results if they received that

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Speaker 1: booster shot, So that was what essentially they ceased on

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Speaker 1: to say, okay, well we should we should encourage booster

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Speaker 1: shots for the general population. But again that's really just

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Speaker 1: for people sixty and older, so again that's not the

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Speaker 1: entire population. Just isn't much in the way of data

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Speaker 1: supporting this otherwise, And in fact, we know that through

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Speaker 1: a billion trials around the world at this point that

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Speaker 1: the vaccines continue to be very effective with regards to

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Speaker 1: delta variant when it comes to hospitalization and death, which

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Speaker 1: are the big things that we ultimately care about here.

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Speaker 1: So what these scientists are arguing is that it is

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Speaker 1: really two things. Number One, there's a risk that if

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Speaker 1: you have rich countries like the US having booster shots

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Speaker 1: when much of the developed world hasn't gotten their first shot.

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Speaker 1: I saw a stat just this morning that I think

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Speaker 1: it's like twenty percent of lower income countries around the world,

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Speaker 1: only twenty percent of people in those nations have received

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Speaker 1: the full vaccination. So there's a risk that you're taking

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Speaker 1: away doses from people who really need them. And if

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Speaker 1: you're worried about new variants and all of that, that's

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Speaker 1: a major issue that you have to look at from

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Speaker 1: a global perspective. But the other thing that they're saying

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Speaker 1: here is that there may be a better case to

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Speaker 1: be made for altering, you know, as new variants emerge,

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Speaker 1: altering the vaccines to better match those new variants. Just

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Speaker 1: like the flu shot gets updated every single year to

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Speaker 1: better match that strain of flu that is predominant in

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Speaker 1: that year, that it might be better to wait until

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Speaker 1: they make those updates rather than just giving everybody another

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Speaker 1: booster of the same shots that have already been out there.

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Speaker 1: We also know that there's been a financial incentive for

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Speaker 1: Pfizer and Maderda. They've been pushing this for a while.

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Speaker 1: They've been pushing it. Yeah, and we covered a New

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Speaker 1: York Times article a while back that was like, you know,

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Speaker 1: Pfeiser says, yes, everybody needs booster shots, but scientists aren't

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Speaker 1: so sure. So they've got a profit motive that may

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Speaker 1: be infecting some of this process as well. Again, look,

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Speaker 1: I think it's dicey to get into the psychology, and

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Speaker 1: it may be the case that people would genuinely benefit

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Speaker 1: from a booster shot, but it seems pretty clear the

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Speaker 1: data to back that up just isn't there yet, and

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Speaker 1: that the Biden administration made more of a political decision

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Speaker 1: than they did a follow the science decision. We've seen

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Speaker 1: a little bit of crumbs of this inside the bureaucracy.

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Speaker 1: So this story back in September fourth really caught my eye.

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Speaker 1: Let's put it up there on the screen, and it

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Speaker 1: was health officials advised White House to scale back booster

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Speaker 1: plan for now. This didn't and flew a little bit

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Speaker 1: under the radar within the media, but it was a

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Speaker 1: big story, which is that the top federal health officials

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Speaker 1: inside the administration had actually told the White House to

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Speaker 1: scale back the booster shot, saying that regulators needed more

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Speaker 1: time to collect, review all the necessary data. And they

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Speaker 1: made that pitch specifically to Jeff Zience, who's the White

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Speaker 1: House pandemic coordinator. That came after, critically, after President Biden

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Speaker 1: had already come out with the booster plan, And I

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Speaker 1: think it gets to exactly what you've done, what you

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Speaker 1: were saying, what the biggest problem with the White House,

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Speaker 1: fauci and so much more. They moved the goalposts specifically

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Speaker 1: to try and calibrate where the public is. By doing that,

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Speaker 1: they undermine science itself and public confidence in the entire thing.

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Speaker 1: And so what has happened. Fauci used to say, oh, well,

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Speaker 1: we need seventy percent of Americans to get a shot.

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Speaker 1: Well we're almost there, so now what is it? Okay,

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Speaker 1: what's the problem. I'm talking specifically about adult Americans. And

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Speaker 1: he'd even admitted in the past that he adjusts the

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Speaker 1: level of where herd immunity needs to be based upon

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Speaker 1: where he thinks americans will will. Exactly, They're like, he's like, well,

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Speaker 1: it's fifty and then the next thing is like ninety

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Speaker 1: and it's like wait what. And it's all because he's

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Speaker 1: trying to calibrate via his appearances on the news that

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Speaker 1: is actually dramatically undermining the entire public health infrastructure, and

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Speaker 1: specifically this FDA story has made some of the media

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Speaker 1: I think literally uncomfortable because, like I said, there very

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Speaker 1: much they embraced it. I immediately already saw these pro

429
00:22:54,080 --> 00:22:57,880
Speaker 1: vaccine you know, doctors that apparently live on MSNBC and more.

430
00:22:57,880 --> 00:23:01,040
Speaker 1: They're like, you will not be considered fullyaccinated unless you've

431
00:23:01,040 --> 00:23:04,679
Speaker 1: had your third shot. And once again, all of this

432
00:23:04,840 --> 00:23:09,360
Speaker 1: comes back to inside of the administration itself. Per You're

433
00:23:09,400 --> 00:23:12,320
Speaker 1: what you're saying is that when the data was never

434
00:23:12,359 --> 00:23:15,679
Speaker 1: really clear, and again what we're saying is not you

435
00:23:15,680 --> 00:23:18,359
Speaker 1: don't need a booster if you're old. Maybe it looks

436
00:23:18,400 --> 00:23:21,840
Speaker 1: like it was working out pretty well in in Israel.

437
00:23:22,160 --> 00:23:25,800
Speaker 1: Same thing whenever it comes to you know, immunocompromise people

438
00:23:25,880 --> 00:23:28,600
Speaker 1: who people talk to your doctor. That's the number one,

439
00:23:28,720 --> 00:23:32,439
Speaker 1: you know, underlining thing that we would say. But recommending

440
00:23:32,480 --> 00:23:37,240
Speaker 1: a policy for all Americans without having the requisite data

441
00:23:37,240 --> 00:23:40,240
Speaker 1: there and then having again the top scientists within the

442
00:23:40,320 --> 00:23:43,160
Speaker 1: FDA resigning over this, and they're both on their way

443
00:23:43,160 --> 00:23:47,000
Speaker 1: out in October and in November, then publicly signing on

444
00:23:47,080 --> 00:23:51,160
Speaker 1: to a paper lambasting the administration itself. It's very bad.

445
00:23:51,200 --> 00:23:52,720
Speaker 1: I mean, you can imagine what would happen on the

446
00:23:52,720 --> 00:23:54,800
Speaker 1: Trump administration if something happened like that, they would lose

447
00:23:54,800 --> 00:23:58,560
Speaker 1: their mind. Trump, Yeah, you would know about it. You probably,

448
00:23:58,800 --> 00:24:01,240
Speaker 1: I don't know about it. I would at this abdator drum.

449
00:24:01,680 --> 00:24:04,480
Speaker 1: It would be leading the news cycle. You would know

450
00:24:04,520 --> 00:24:07,600
Speaker 1: all about it. And look, that's fine, but the same

451
00:24:07,640 --> 00:24:11,600
Speaker 1: thing should apply in this instance as well. There's a confusing,

452
00:24:11,760 --> 00:24:14,600
Speaker 1: sort of conflicting message here that I think is part

453
00:24:14,640 --> 00:24:18,080
Speaker 1: of the problem. Number one, and this is accurate. The

454
00:24:18,200 --> 00:24:22,800
Speaker 1: vaccines offer very good protection even against delta. Right, Yes,

455
00:24:22,840 --> 00:24:26,000
Speaker 1: breakthrough infections are a real phenomenon. We can attest to

456
00:24:26,040 --> 00:24:31,560
Speaker 1: that personally. However, I didn't get sick. Worked for me. Right,

457
00:24:32,080 --> 00:24:35,280
Speaker 1: So you know, you are still less likely to get

458
00:24:35,440 --> 00:24:38,479
Speaker 1: COVID at all. If you have the vaccine and you

459
00:24:38,560 --> 00:24:41,000
Speaker 1: have the confidence of knowing that you're very unlikely to

460
00:24:41,080 --> 00:24:43,680
Speaker 1: end up in hospital, you're very unlikely to end up dead.

461
00:24:44,119 --> 00:24:46,040
Speaker 1: That seems like a big deal. So on the one hand,

462
00:24:46,080 --> 00:24:49,359
Speaker 1: you have the messaging the vaccines work really, really well,

463
00:24:49,440 --> 00:24:51,919
Speaker 1: and all the evidence that we have says that is

464
00:24:51,960 --> 00:24:54,760
Speaker 1: in fact the case. But on the other hand, but

465
00:24:54,880 --> 00:24:56,600
Speaker 1: you might need to still get a booster because they

466
00:24:56,600 --> 00:24:59,480
Speaker 1: don't work that well. It's like, wait a second, I'm

467
00:24:59,520 --> 00:25:03,560
Speaker 1: confused by And it may be the case, as in Israel,

468
00:25:03,680 --> 00:25:06,560
Speaker 1: that for certain populations it does make sense because they

469
00:25:06,560 --> 00:25:09,520
Speaker 1: continue to be at risk they need that after eight months,

470
00:25:09,600 --> 00:25:12,600
Speaker 1: you need that additional shot. That may well be the case,

471
00:25:13,440 --> 00:25:17,520
Speaker 1: but it's what these scientists are arguing is that there

472
00:25:17,600 --> 00:25:21,000
Speaker 1: just isn't data to support the necessity of a booster

473
00:25:21,080 --> 00:25:24,840
Speaker 1: shot for the general population because in fact, the initial

474
00:25:24,880 --> 00:25:29,479
Speaker 1: doses of vaccine continue to be extremely effective against the

475
00:25:29,480 --> 00:25:31,359
Speaker 1: delta variant. And all of the other variants that are

476
00:25:31,440 --> 00:25:34,320
Speaker 1: out there. So that's good news. That's good news. And

477
00:25:34,320 --> 00:25:37,600
Speaker 1: by the way, there's been a decline in new cases

478
00:25:37,600 --> 00:25:40,119
Speaker 1: and hospitalizations. There are still places in the country that

479
00:25:40,160 --> 00:25:42,919
Speaker 1: are really bad. But we also should talk about the

480
00:25:42,960 --> 00:25:45,359
Speaker 1: fact that there is starting to be a small decline

481
00:25:45,720 --> 00:25:48,240
Speaker 1: in Delta varian across the country. That's really good news too.

482
00:25:48,320 --> 00:25:51,159
Speaker 1: California actually cases fell off a cliff yesterday, which was

483
00:25:51,200 --> 00:25:54,640
Speaker 1: having big trouble with Delta. Look, we have no way

484
00:25:54,720 --> 00:25:57,479
Speaker 1: of knowing exactly where we are within the curve. The

485
00:25:57,600 --> 00:26:00,880
Speaker 1: UK obviously had a dramatic spike in delta and then

486
00:26:01,080 --> 00:26:04,240
Speaker 1: completely collapse. So are we where the UK is? At

487
00:26:04,280 --> 00:26:07,080
Speaker 1: the same time, temperatures are beginning to drop. I was

488
00:26:07,080 --> 00:26:09,879
Speaker 1: in main recently. It's already cold up there, So okay,

489
00:26:09,920 --> 00:26:11,480
Speaker 1: what's going to happen? Are people going to begin to

490
00:26:11,480 --> 00:26:14,280
Speaker 1: congregate inside? Are we going to see another November December

491
00:26:14,280 --> 00:26:17,239
Speaker 1: spikes that we saw again? This is a speculation. I

492
00:26:17,320 --> 00:26:19,880
Speaker 1: literally have no idea. But really what it comes down

493
00:26:19,960 --> 00:26:23,840
Speaker 1: to we need clear communication from the government. We needed

494
00:26:23,840 --> 00:26:28,480
Speaker 1: to actually be backed by science, not expectations of where

495
00:26:28,560 --> 00:26:32,360
Speaker 1: the public is or not, and we should require serious

496
00:26:32,400 --> 00:26:35,440
Speaker 1: deliberation so that we can accomplish our number one goal,

497
00:26:35,680 --> 00:26:40,320
Speaker 1: which is let's keep elderly and the most compromised amongst

498
00:26:40,359 --> 00:26:43,040
Speaker 1: us out of the hospital and not dead, so that

499
00:26:43,080 --> 00:26:45,560
Speaker 1: we can all go back and live our lives. And

500
00:26:45,680 --> 00:26:47,800
Speaker 1: right now I think we're actually in the best position

501
00:26:48,040 --> 00:26:50,280
Speaker 1: to do that. I know that might be a controversial statement.

502
00:26:50,440 --> 00:26:52,840
Speaker 1: We have a vaccine. It works, It will protect you

503
00:26:53,000 --> 00:26:56,200
Speaker 1: from death generally, it will decrease the amount of infection

504
00:26:56,520 --> 00:26:58,879
Speaker 1: that you your chance of infection, both in getting it

505
00:26:59,119 --> 00:27:01,679
Speaker 1: and in spreading it. So I don't really see what

506
00:27:01,800 --> 00:27:04,360
Speaker 1: exactly the hold up is, but that you know, I'm

507
00:27:04,359 --> 00:27:06,360
Speaker 1: not in the government, So there we go. Yeah. Hey,

508
00:27:06,359 --> 00:27:09,920
Speaker 1: so remember how we told you how awesome premium membership was. Well,

509
00:27:09,960 --> 00:27:12,119
Speaker 1: here we are again to remind you that becoming a

510
00:27:12,160 --> 00:27:14,800
Speaker 1: premium member means you don't have to listen to our

511
00:27:14,880 --> 00:27:17,680
Speaker 1: constant please for you to subscribe. So what are you

512
00:27:17,720 --> 00:27:20,280
Speaker 1: waiting for? Become a premium member today by going to

513
00:27:20,400 --> 00:27:22,720
Speaker 1: Breakingpoints dot com, which you can click on in the

514
00:27:22,760 --> 00:27:25,679
Speaker 1: show notes. That being said, the people who are in

515
00:27:25,720 --> 00:27:28,560
Speaker 1: the government, let's get to our next segment here are

516
00:27:28,680 --> 00:27:31,239
Speaker 1: revising some of the things that they've said and This

517
00:27:31,320 --> 00:27:32,879
Speaker 1: is probably, I mean, in my view, one of the

518
00:27:32,880 --> 00:27:35,400
Speaker 1: most troubling things I've seen yet out from the administration.

519
00:27:35,680 --> 00:27:37,680
Speaker 1: So let's put this up there on the screen. Doctor

520
00:27:37,720 --> 00:27:41,240
Speaker 1: Fauci in a new interview with the Skim, which I

521
00:27:41,240 --> 00:27:42,920
Speaker 1: didn't know was still around. It's like one of those

522
00:27:43,240 --> 00:27:47,960
Speaker 1: women's email newsletters that writes the news in a cringe anyway,

523
00:27:48,400 --> 00:27:51,639
Speaker 1: It's called the Skin. He says, quote, I would ladies

524
00:27:51,960 --> 00:27:56,080
Speaker 1: do in like a sasy way, kind of patronizing anyway. Yeah.

525
00:27:56,080 --> 00:27:58,000
Speaker 1: I was like, I don't really understand why news can't

526
00:27:58,040 --> 00:28:00,399
Speaker 1: just be news for everybody, But that's just me. Whatever.

527
00:28:00,560 --> 00:28:03,439
Speaker 1: Here's what he says, quote, I would support that if

528
00:28:03,480 --> 00:28:05,720
Speaker 1: you want to get on a plane and travel with

529
00:28:05,840 --> 00:28:09,399
Speaker 1: other people, that you should be vaccinated. So this is

530
00:28:09,440 --> 00:28:13,160
Speaker 1: something which we have not yet seen from fully embraced

531
00:28:13,240 --> 00:28:15,960
Speaker 1: by the Biden administration, but we have seen in the

532
00:28:16,000 --> 00:28:19,840
Speaker 1: past that doctor Fauci had spoken weeks before mass mandate

533
00:28:19,920 --> 00:28:22,800
Speaker 1: went back into effect on federal property that did become

534
00:28:22,880 --> 00:28:26,000
Speaker 1: national policy. The booster shot was something that doctor Fauci

535
00:28:26,040 --> 00:28:28,359
Speaker 1: had been talking and pushing quite a bit that became

536
00:28:28,720 --> 00:28:31,200
Speaker 1: national policy. And at the very least, if he feels

537
00:28:31,240 --> 00:28:33,760
Speaker 1: comfortable saying this out in public, it will become a

538
00:28:33,840 --> 00:28:36,959
Speaker 1: vector of pressure. Then in crystal on the Biden administration

539
00:28:37,119 --> 00:28:40,040
Speaker 1: say no doubt about it. Why do you disagree with

540
00:28:40,120 --> 00:28:42,840
Speaker 1: your top advisor that you don't have to have a

541
00:28:42,960 --> 00:28:46,400
Speaker 1: vaccine mandate whenever you travel? And I think this would personally,

542
00:28:46,480 --> 00:28:48,640
Speaker 1: I mean, for me, really just be a bridge too

543
00:28:48,720 --> 00:28:52,800
Speaker 1: far and across the rubicon moment, because and look, you know,

544
00:28:53,440 --> 00:28:57,840
Speaker 1: transmission in air travel is pretty you know, pretty scientifically

545
00:28:57,840 --> 00:28:59,959
Speaker 1: proven not to happen. That doesn't mean they can't have

546
00:29:00,120 --> 00:29:01,680
Speaker 1: and inside of an airport, which is actually where I

547
00:29:01,680 --> 00:29:05,200
Speaker 1: think I got COVID, but that's another different story. Really,

548
00:29:05,240 --> 00:29:07,520
Speaker 1: what it is is that when you look at this,

549
00:29:07,840 --> 00:29:11,360
Speaker 1: it comes towards a mindset which we have seen prevailing

550
00:29:11,680 --> 00:29:15,360
Speaker 1: throughout cable news and the elite intelligentsia, which is very

551
00:29:15,400 --> 00:29:17,680
Speaker 1: much like not even offering a testing, you know whatever.

552
00:29:17,680 --> 00:29:20,080
Speaker 1: It's just like you have to be vaccinated, you have

553
00:29:20,160 --> 00:29:21,520
Speaker 1: to be able to You don't have a right to

554
00:29:21,520 --> 00:29:24,400
Speaker 1: interstate travel, you don't have a right in order to

555
00:29:24,440 --> 00:29:26,600
Speaker 1: move about the country. And I think that you know,

556
00:29:26,760 --> 00:29:29,760
Speaker 1: cutting people off, you know, effectively putting them on a

557
00:29:29,760 --> 00:29:33,520
Speaker 1: no fly list is something which would really raise both

558
00:29:33,520 --> 00:29:36,040
Speaker 1: the temperature of the country, and I just think it's

559
00:29:36,080 --> 00:29:39,720
Speaker 1: just way too far in terms of the actual critical infrastructure.

560
00:29:39,960 --> 00:29:41,240
Speaker 1: What do we hear every time we have to bail

561
00:29:41,240 --> 00:29:43,600
Speaker 1: out the airlines, they're like the most critical part of

562
00:29:43,680 --> 00:29:45,479
Speaker 1: the US economy. Well, if it is, then I think

563
00:29:45,520 --> 00:29:47,800
Speaker 1: everybody's entitled to it. Yeah, and in fact, I mean

564
00:29:47,840 --> 00:29:51,680
Speaker 1: there is some judicial precedent or like you don't have

565
00:29:51,720 --> 00:29:55,120
Speaker 1: a right to air travel, but it being an essential

566
00:29:55,160 --> 00:29:57,160
Speaker 1: part of you know, day to day, I'm going to

567
00:29:57,240 --> 00:29:59,720
Speaker 1: drive human activity so you can go, you know, for

568
00:30:00,000 --> 00:30:03,880
Speaker 1: business or for weddings or for funerals or whatever it is.

569
00:30:03,960 --> 00:30:07,320
Speaker 1: I mean, that is where I have a problem, is

570
00:30:07,560 --> 00:30:10,959
Speaker 1: when there is a lack of compassion, a lack of

571
00:30:11,120 --> 00:30:14,520
Speaker 1: just sort of basic humanity. You know, when you have

572
00:30:14,520 --> 00:30:17,400
Speaker 1: people saying like they shouldn't be allowed to be the unvaccinated,

573
00:30:17,440 --> 00:30:21,000
Speaker 1: shouldn't be allowed to be in public, period, that's insane, Right,

574
00:30:21,040 --> 00:30:23,959
Speaker 1: that's insane. Now, what I would say with this is

575
00:30:24,720 --> 00:30:26,840
Speaker 1: this is kind of he is asked a question about

576
00:30:26,840 --> 00:30:29,320
Speaker 1: as kind of an offhand comment. If they did implement

577
00:30:29,360 --> 00:30:32,600
Speaker 1: something like this and it had the either your vaccine

578
00:30:32,680 --> 00:30:34,720
Speaker 1: or you get tested, I'd be okay with that. I

579
00:30:34,760 --> 00:30:37,280
Speaker 1: think to me, that is the balance that makes sense.

580
00:30:37,360 --> 00:30:39,640
Speaker 1: I think it makes sense of the workplace. I think

581
00:30:39,680 --> 00:30:42,240
Speaker 1: it makes sense you know, on airplanes and for travel

582
00:30:42,280 --> 00:30:44,440
Speaker 1: and all of those sorts of things, because look, it

583
00:30:44,520 --> 00:30:47,200
Speaker 1: is a problem if you have people traveling domestically or

584
00:30:47,240 --> 00:30:51,360
Speaker 1: traveling internationally that can fuel further spread. So it is

585
00:30:51,400 --> 00:30:53,440
Speaker 1: an issue, and there is a balance here. If you

586
00:30:53,720 --> 00:30:57,040
Speaker 1: just have an actual like no fly list for people

587
00:30:57,040 --> 00:30:59,920
Speaker 1: who are unvaccinated, that is definitely a bridge to far

588
00:31:00,120 --> 00:31:02,480
Speaker 1: and it's something that you know, liberals have understood in

589
00:31:02,480 --> 00:31:05,640
Speaker 1: the past, certainly when it came to Islamic extremists, the

590
00:31:05,640 --> 00:31:08,280
Speaker 1: War on Terror and Islamic extremism, and the fact that

591
00:31:08,320 --> 00:31:10,880
Speaker 1: you could have this just like randomist of people who

592
00:31:10,880 --> 00:31:15,600
Speaker 1: can't fly without requiring any sort of adjudication or rationalization.

593
00:31:15,760 --> 00:31:18,680
Speaker 1: Just if you're on the list, are you're screwed? You know,

594
00:31:18,720 --> 00:31:21,960
Speaker 1: this is a very troubling direction to ultimately move in.

595
00:31:22,560 --> 00:31:26,000
Speaker 1: And one of the more extreme voices on this has

596
00:31:26,080 --> 00:31:29,560
Speaker 1: been doctor Leanna when, who was formerly the head of

597
00:31:29,720 --> 00:31:32,600
Speaker 1: Planned Parenthood, who's been making the rounds at CNN in

598
00:31:32,640 --> 00:31:39,160
Speaker 1: particular with just very extreme and divisive and non compassionate.

599
00:31:39,240 --> 00:31:42,600
Speaker 1: I guess I would say views towards the unvaccinated and

600
00:31:42,640 --> 00:31:45,760
Speaker 1: really very strongly in favor of curtailing all of their rights,

601
00:31:45,760 --> 00:31:47,800
Speaker 1: saying they shouldn't be allowed to go in public at all.

602
00:31:48,000 --> 00:31:49,520
Speaker 1: Let's take a listen to what she had to say.

603
00:31:50,000 --> 00:31:52,480
Speaker 1: I absolutely think we should have that requirement. I think

604
00:31:52,480 --> 00:31:54,560
Speaker 1: it was a major oversight on the part of the

605
00:31:54,560 --> 00:31:58,120
Speaker 1: Biden administration to not issue this yesterday. And we have

606
00:31:58,200 --> 00:32:00,720
Speaker 1: to talk about the reason. The reason and isn't so

607
00:32:00,920 --> 00:32:03,880
Speaker 1: much that we need to keep our train travel and

608
00:32:03,920 --> 00:32:07,200
Speaker 1: plane travel even safer. They are pretty safe, although I

609
00:32:07,240 --> 00:32:09,520
Speaker 1: definitely think that having a vaccine requirement would make it

610
00:32:09,560 --> 00:32:13,000
Speaker 1: even safer and probably encourage many people who are vaccinated

611
00:32:13,080 --> 00:32:15,320
Speaker 1: or who have young kids and want to protect them.

612
00:32:16,000 --> 00:32:18,920
Speaker 1: Maybe it'll help to encourage those people to start traveling again.

613
00:32:19,200 --> 00:32:21,520
Speaker 1: But there's an even bigger reason too, which is I

614
00:32:21,600 --> 00:32:24,000
Speaker 1: think we really need to make it clear that there

615
00:32:24,000 --> 00:32:27,840
Speaker 1: are privileges associated with being an American, that if you

616
00:32:27,960 --> 00:32:31,360
Speaker 1: wish to have these privileges, you need to get vaccinated.

617
00:32:31,600 --> 00:32:34,320
Speaker 1: Travel and having the right to travel in our state.

618
00:32:34,800 --> 00:32:36,880
Speaker 1: It's not a constitutional right as far as I'm as

619
00:32:36,920 --> 00:32:41,080
Speaker 1: far as I know, to board a plane, and so

620
00:32:41,640 --> 00:32:44,920
Speaker 1: saying that If you want to stay unvaccinated, that's your choice.

621
00:32:44,920 --> 00:32:46,640
Speaker 1: But if you want to travel, you better go get

622
00:32:46,640 --> 00:32:50,160
Speaker 1: that vaccine. So again, travel is not a privilege. Is

623
00:32:50,200 --> 00:32:52,960
Speaker 1: it written in the constitution that you can get on

624
00:32:53,000 --> 00:32:55,920
Speaker 1: an airplane? No, it's not. But do people have basic

625
00:32:56,040 --> 00:33:01,160
Speaker 1: rights to move about the country? Yeah? They do, Yes,

626
00:33:01,200 --> 00:33:06,600
Speaker 1: they do. So look, it's to me it's balancing act.

627
00:33:06,720 --> 00:33:10,560
Speaker 1: There are principles intention here. But if you're just really

628
00:33:10,600 --> 00:33:13,280
Speaker 1: fully in favor of putting the unvaccinated on a no

629
00:33:13,400 --> 00:33:16,440
Speaker 1: fly list with no testing out, that to me is

630
00:33:16,560 --> 00:33:19,320
Speaker 1: way too far. But we should say actually, a lot

631
00:33:19,320 --> 00:33:22,480
Speaker 1: of the population is pretty on board with all of

632
00:33:22,520 --> 00:33:25,400
Speaker 1: the measures that the Biden administration has taken so far.

633
00:33:25,720 --> 00:33:28,560
Speaker 1: I mean, I am personally in favor, strongly in favor

634
00:33:28,720 --> 00:33:31,560
Speaker 1: of the announcements from last week, but we can put

635
00:33:31,600 --> 00:33:33,840
Speaker 1: up on the screen a lot of the public shares

636
00:33:33,840 --> 00:33:36,200
Speaker 1: that view. This is the first polling we've gotten with

637
00:33:36,280 --> 00:33:41,120
Speaker 1: regards to Biden's specific vaccine requirements. This is from Warning

638
00:33:41,160 --> 00:33:44,440
Speaker 1: consult and Politico. So they ask the question, do you

639
00:33:44,520 --> 00:33:47,720
Speaker 1: support requiring all employers with one hundred plus employees to

640
00:33:47,800 --> 00:33:51,960
Speaker 1: mandate vaccinations or testing? Fifty eight percent support that and

641
00:33:52,000 --> 00:33:55,160
Speaker 1: thirty six percent of pose do you support requiring federal

642
00:33:55,160 --> 00:33:58,720
Speaker 1: workers and contractors to be vaccinated? Fifty seven percent support,

643
00:33:58,800 --> 00:34:02,320
Speaker 1: thirty six percent post almost exactly the same numbers. Healthcare

644
00:34:02,360 --> 00:34:06,520
Speaker 1: workers even stronger support. You've got sixty percent support. Generally speaking,

645
00:34:06,520 --> 00:34:09,000
Speaker 1: though you're talking about like fifty six to thirty eight.

646
00:34:09,600 --> 00:34:12,239
Speaker 1: You've got a public at this point that is majority

647
00:34:12,400 --> 00:34:15,640
Speaker 1: at least vaccinated. You've got seventy three percent who have

648
00:34:15,640 --> 00:34:18,759
Speaker 1: had at least one dose. It's a minority at this

649
00:34:18,960 --> 00:34:24,200
Speaker 1: point that are totally unvaccinated. And so you do have

650
00:34:24,239 --> 00:34:26,960
Speaker 1: a population that's getting pretty frustrated with like, I did

651
00:34:26,960 --> 00:34:29,319
Speaker 1: the thing I'm supposed to do, and I'm sick of,

652
00:34:29,760 --> 00:34:32,040
Speaker 1: you know, being put at risk or having my life

653
00:34:32,080 --> 00:34:34,839
Speaker 1: interrupted by people who are unwilling to do it. So

654
00:34:35,239 --> 00:34:37,759
Speaker 1: there is a lot of public sentiment in favor of,

655
00:34:38,080 --> 00:34:41,080
Speaker 1: you know, pretty stringent vaccine requirements at this point. My

656
00:34:41,239 --> 00:34:44,480
Speaker 1: one caveat on always these polls is I also remember

657
00:34:44,719 --> 00:34:47,600
Speaker 1: the lockdown polling right before twenty twenty and then into

658
00:34:47,640 --> 00:34:50,439
Speaker 1: way it politically manifested. It wasn't like that at all,

659
00:34:50,520 --> 00:34:53,360
Speaker 1: like we saw that, you know, huge majorities of people

660
00:34:53,719 --> 00:34:56,200
Speaker 1: in the polling at least said that they supported lockdowns,

661
00:34:56,239 --> 00:34:58,880
Speaker 1: they said they supported masking, they said they supported all this,

662
00:34:58,920 --> 00:35:00,520
Speaker 1: and then a lot of them went out they for Trump.

663
00:35:00,520 --> 00:35:02,600
Speaker 1: So it was like, Okay, well, which one is it?

664
00:35:02,920 --> 00:35:05,320
Speaker 1: This is a little bit more robust than kind of

665
00:35:05,320 --> 00:35:08,239
Speaker 1: the lockdown polling that we saw, But I still just

666
00:35:08,400 --> 00:35:10,560
Speaker 1: air a little bit more on the side of I

667
00:35:10,680 --> 00:35:13,640
Speaker 1: just don't know whether this look maybe it is the

668
00:35:13,680 --> 00:35:17,600
Speaker 1: soft way that it expresses itself. For example, sixty percent

669
00:35:17,680 --> 00:35:21,239
Speaker 1: of Republicans are vaccinated, but only thirty two percent in

670
00:35:21,320 --> 00:35:24,560
Speaker 1: the same poll say they support a vaccine mandate. So

671
00:35:24,640 --> 00:35:28,040
Speaker 1: people who are themselves vaccinated are not saying that they

672
00:35:28,120 --> 00:35:31,240
Speaker 1: support the mandate itself. Yeah, so how does that express itself?

673
00:35:31,239 --> 00:35:33,759
Speaker 1: Although they vote for in politics right right? Although I

674
00:35:33,760 --> 00:35:36,640
Speaker 1: would actually say the fact that given how polarized these

675
00:35:36,640 --> 00:35:39,360
Speaker 1: issues are, that you even have a third of Republicans

676
00:35:39,760 --> 00:35:43,920
Speaker 1: saying they're in favor of mandates, sure is telling. And

677
00:35:44,160 --> 00:35:49,160
Speaker 1: independance side with Democrats overwhelmingly on these issues. I would

678
00:35:49,160 --> 00:35:51,239
Speaker 1: also say in twenty two it's a little more complicated

679
00:35:51,239 --> 00:35:53,560
Speaker 1: than just you know, people turned out to be against

680
00:35:53,560 --> 00:35:57,480
Speaker 1: the lockdowns. Republicans had an economic message and Democrats had

681
00:35:57,560 --> 00:36:01,840
Speaker 1: some fuzzy like soul of americalah blah blah, and people

682
00:36:01,960 --> 00:36:04,520
Speaker 1: care about the economy, right, They want to have a job,

683
00:36:04,520 --> 00:36:06,680
Speaker 1: and they want to have economic prosperity for themselves of

684
00:36:06,719 --> 00:36:09,759
Speaker 1: their community, et cetera, et cetera. And Democrats really didn't

685
00:36:09,760 --> 00:36:13,680
Speaker 1: speak to that at all. Their entire messaging was around

686
00:36:14,080 --> 00:36:17,560
Speaker 1: safety and lockdowns and sort of like shutting things down

687
00:36:17,680 --> 00:36:20,880
Speaker 1: indefinitely to the extent that they had any messaging around

688
00:36:20,920 --> 00:36:24,400
Speaker 1: the economy whatsoever. But you know, I do think that

689
00:36:24,480 --> 00:36:27,400
Speaker 1: this is an important part of the story too. In California,

690
00:36:27,760 --> 00:36:32,320
Speaker 1: where you've seen a huge divergence in the polls, Newsom

691
00:36:32,360 --> 00:36:35,520
Speaker 1: has leaned into the vaccine requirements that he's had there.

692
00:36:35,800 --> 00:36:39,680
Speaker 1: Clearly Biden feels very confident politically and where he's standing

693
00:36:39,800 --> 00:36:42,920
Speaker 1: to see that very much. Though. Terry mccaulliff in Virginia,

694
00:36:42,960 --> 00:36:46,160
Speaker 1: which is, you know, a more closely matched state or

695
00:36:46,200 --> 00:36:49,439
Speaker 1: more sort of swing state than California, Terry mccalliff also

696
00:36:49,520 --> 00:36:52,839
Speaker 1: leaning into this similar messaging. So I do think Democrats

697
00:36:52,880 --> 00:36:56,880
Speaker 1: feel like they have a political winner, particularly in the

698
00:36:56,920 --> 00:36:59,239
Speaker 1: suburbs where there's been some concern that there might be

699
00:36:59,280 --> 00:37:03,200
Speaker 1: some erosion and back to Republicans around these issues now

700
00:37:03,239 --> 00:37:06,040
Speaker 1: again full caveat. Do I think Democrats are still screwed

701
00:37:06,040 --> 00:37:08,840
Speaker 1: in the midterms, Yes, I do, but on this particular issue.

702
00:37:09,080 --> 00:37:11,240
Speaker 1: And there has been some signs actually that Joe Biden's

703
00:37:11,239 --> 00:37:14,040
Speaker 1: approval writing has started to tick back up. That might

704
00:37:14,200 --> 00:37:18,040
Speaker 1: just be that the Afghanistan news cycle, where media all

705
00:37:18,760 --> 00:37:20,680
Speaker 1: trashed him for like the best thing he's ever done

706
00:37:20,719 --> 00:37:23,880
Speaker 1: in his life, is starting to be behind us and

707
00:37:23,960 --> 00:37:27,040
Speaker 1: people are starting to, you know, focus on other issues.

708
00:37:27,120 --> 00:37:29,759
Speaker 1: But I do think that that's an interesting indication. Yeah,

709
00:37:29,800 --> 00:37:32,920
Speaker 1: I'm really curious to see how it manifests itself politically. Yeah,

710
00:37:32,920 --> 00:37:35,600
Speaker 1: because that is going to be the ultimate test here. Yeah, Okay,

711
00:37:35,600 --> 00:37:37,799
Speaker 1: this is a fun one. You've found this. I love

712
00:37:37,840 --> 00:37:40,759
Speaker 1: the story. The story yeah too perfect? All right, throw

713
00:37:40,800 --> 00:37:43,880
Speaker 1: this Axios tear sheet up on the screen. A group

714
00:37:44,360 --> 00:37:48,400
Speaker 1: of Vice President Kamala Harris veterans is launching a firm

715
00:37:48,520 --> 00:37:53,719
Speaker 1: to protect CEOs from being canceled. Now, what exactly does

716
00:37:53,760 --> 00:38:00,160
Speaker 1: that entail? Well, effectively, they want to get paid to

717
00:38:00,320 --> 00:38:04,439
Speaker 1: advise companies on how they can make sure that they're

718
00:38:04,440 --> 00:38:09,560
Speaker 1: observing cultural norms and having enough diversity in their workforce

719
00:38:09,600 --> 00:38:16,120
Speaker 1: to avoid having any negative press consequences. You've got driving

720
00:38:16,160 --> 00:38:19,200
Speaker 1: the news. They say here from Axios. C Street Advisory Group,

721
00:38:19,280 --> 00:38:22,080
Speaker 1: led by CEO John Heenes, a former national campaign finance

722
00:38:22,120 --> 00:38:24,840
Speaker 1: chair for Harris's presidential campaign, will draw on the group's

723
00:38:24,960 --> 00:38:29,160
Speaker 1: broad political network to help corporate America diversify their workforce.

724
00:38:29,200 --> 00:38:32,400
Speaker 1: Isn't that nice of them? Sager? Whyat matters? I just

725
00:38:32,440 --> 00:38:33,520
Speaker 1: I have to read a bunch of parts of this

726
00:38:33,600 --> 00:38:36,080
Speaker 1: because it's amazing. Why it matters. C Street is entering

727
00:38:36,160 --> 00:38:40,080
Speaker 1: an emerging competitive market with financing from Antara Capital, a

728
00:38:40,120 --> 00:38:43,440
Speaker 1: hedge fund backed by Blackstone. Outside that, big financial firms

729
00:38:43,480 --> 00:38:47,799
Speaker 1: view the diversity field as a growing industry. So let

730
00:38:47,800 --> 00:38:49,960
Speaker 1: me just break down for you what's going on here.

731
00:38:50,320 --> 00:38:53,440
Speaker 1: They've formed a group, these Kamala Harris veterans, to basically

732
00:38:53,480 --> 00:38:55,799
Speaker 1: go to companies and be like, if you give us

733
00:38:55,840 --> 00:38:57,719
Speaker 1: some money, we're going to make sure we don't cause

734
00:38:57,719 --> 00:39:00,360
Speaker 1: any problems for you or the guards getting care anseled

735
00:39:00,440 --> 00:39:03,239
Speaker 1: or calling you out for your lack of diversity. That's

736
00:39:03,239 --> 00:39:05,840
Speaker 1: what's going on here. It also indicates in the article

737
00:39:05,840 --> 00:39:08,680
Speaker 1: that they're going to call on their contacts so to

738
00:39:09,000 --> 00:39:13,520
Speaker 1: help diversify these workforces, meaning getting plum gigs for the

739
00:39:13,560 --> 00:39:16,719
Speaker 1: people in their network while they're getting paid for it,

740
00:39:17,000 --> 00:39:20,759
Speaker 1: and Blackstone thinks that this is a great growth opportunity

741
00:39:20,800 --> 00:39:23,799
Speaker 1: for them to profit off of as well. Amazing. There's

742
00:39:23,840 --> 00:39:26,719
Speaker 1: no other way to describe this than high brow blackmail.

743
00:39:26,800 --> 00:39:29,320
Speaker 1: That's essentially what it is. You're like, hey, we control

744
00:39:29,360 --> 00:39:33,520
Speaker 1: the media, we control the calls for cancelation. Pay us

745
00:39:33,640 --> 00:39:36,600
Speaker 1: and you won't be canceled, period. And the people who

746
00:39:36,600 --> 00:39:41,520
Speaker 1: are all involved in this Clinton Foundation hedge fund, Goldman Sachs,

747
00:39:41,960 --> 00:39:46,319
Speaker 1: former advisors, former Kamala person, Mignon Moore who is a

748
00:39:46,360 --> 00:39:50,719
Speaker 1: longtime Clinton person too, they're banding together going to this

749
00:39:50,880 --> 00:39:54,160
Speaker 1: fortune five hundreds and say, if you pay us, we

750
00:39:54,239 --> 00:39:56,920
Speaker 1: can guarantee that you won't be canceled. And here's the thing.

751
00:39:57,280 --> 00:40:01,360
Speaker 1: In effect, they're mostly right. Go and look at Cuomo.

752
00:40:01,840 --> 00:40:04,720
Speaker 1: Look at how long he was able to withstand the pressure.

753
00:40:05,000 --> 00:40:07,960
Speaker 1: Why because he had the president of a human rights foundation,

754
00:40:08,080 --> 00:40:10,560
Speaker 1: the top like gay rights group here in Washington, DC

755
00:40:10,719 --> 00:40:14,400
Speaker 1: used to work for him, who helped leak information about

756
00:40:14,640 --> 00:40:18,120
Speaker 1: one of his accusers. You had the Times Up CEO,

757
00:40:18,280 --> 00:40:20,960
Speaker 1: the head of the Me Too organization itself, who was

758
00:40:21,040 --> 00:40:25,279
Speaker 1: doing the same thing, laundering information against one of his accusers,

759
00:40:25,520 --> 00:40:29,000
Speaker 1: he almost got away with it. Now Cuomo was a governor.

760
00:40:29,360 --> 00:40:31,399
Speaker 1: Most of these CEOs, they're not going to be under

761
00:40:31,400 --> 00:40:34,520
Speaker 1: the same sustained level of pressure. So if you have

762
00:40:34,600 --> 00:40:38,279
Speaker 1: that same political infrastructure, you have a relative confidence that

763
00:40:38,320 --> 00:40:41,560
Speaker 1: if anything ever comes out bad against you, these people

764
00:40:41,719 --> 00:40:44,120
Speaker 1: will handle it for you. And that is the most

765
00:40:44,120 --> 00:40:48,279
Speaker 1: disgusting part of it all. So it's a complete thing

766
00:40:48,320 --> 00:40:50,759
Speaker 1: I've ever seen. It's just literally, I mean, hush money

767
00:40:50,840 --> 00:40:52,239
Speaker 1: is what it is. That's what we're putting, what we

768
00:40:52,280 --> 00:40:55,279
Speaker 1: put in our bottom graphic. It's hush money. It's blackmail.

769
00:40:55,560 --> 00:40:58,799
Speaker 1: It is a professional attempt in order to weaponize and

770
00:40:58,960 --> 00:41:02,240
Speaker 1: create me too. And you know, all these other things

771
00:41:02,239 --> 00:41:04,239
Speaker 1: are like, oh, you're being canceled for saying this, or

772
00:41:04,239 --> 00:41:07,040
Speaker 1: of dressing up like whatever whenever you're in high school

773
00:41:07,200 --> 00:41:10,919
Speaker 1: and you're basically paying insurance like to a mob. Woke

774
00:41:11,000 --> 00:41:14,399
Speaker 1: mob is actually quite literally becoming the manifestation. And it's

775
00:41:14,440 --> 00:41:16,719
Speaker 1: sad because they do it in the name of who

776
00:41:16,880 --> 00:41:20,479
Speaker 1: marginalize people, abuse women because you're all just rich. They're

777
00:41:20,520 --> 00:41:22,760
Speaker 1: just rich folks who are looking to get even richer.

778
00:41:22,800 --> 00:41:25,960
Speaker 1: So it's disgusting. Yeah, they're just looking to like protect

779
00:41:26,200 --> 00:41:29,239
Speaker 1: their own financial interests and that of their friends and

780
00:41:29,280 --> 00:41:32,640
Speaker 1: their social circle. And do we think that you know,

781
00:41:32,680 --> 00:41:36,160
Speaker 1: they're going to pressure any of these multinational corporations to

782
00:41:36,280 --> 00:41:39,440
Speaker 1: like allow don't know, treat their workers well or you know,

783
00:41:39,600 --> 00:41:44,520
Speaker 1: allow them to unionize or anything like that. Of course not,

784
00:41:44,880 --> 00:41:48,000
Speaker 1: they're gonna They're gonna take the money to keep them

785
00:41:48,000 --> 00:41:50,920
Speaker 1: out of the press, you know, give them some surface

786
00:41:51,000 --> 00:41:53,200
Speaker 1: level diverse they look. It's not a bad thing, but

787
00:41:53,280 --> 00:41:56,719
Speaker 1: when it's content free, it ultimately becomes meaningless. Is it

788
00:41:56,760 --> 00:41:59,759
Speaker 1: any better that you know, you're getting ripped off by

789
00:42:00,280 --> 00:42:04,239
Speaker 1: Blackstone or job shipped over CC's by Blackstone when they

790
00:42:04,280 --> 00:42:07,360
Speaker 1: have a slightly more diverse board or c suite. That's

791
00:42:07,680 --> 00:42:10,840
Speaker 1: what this is really all about. And it's pretty amazing.

792
00:42:10,920 --> 00:42:13,680
Speaker 1: It's just so blatant and and I think it'll be

793
00:42:13,760 --> 00:42:16,040
Speaker 1: very effective. I think they'll make lots lot of money.

794
00:42:16,080 --> 00:42:17,840
Speaker 1: I think they'll make lots of money. I think for

795
00:42:17,920 --> 00:42:21,000
Speaker 1: these companies it's probably pretty good investment to keep protect

796
00:42:21,040 --> 00:42:23,160
Speaker 1: their brand and make sure that they're not you know,

797
00:42:23,440 --> 00:42:26,520
Speaker 1: the ones getting canceled on Twitter and taking that hit

798
00:42:26,600 --> 00:42:30,440
Speaker 1: to their to their pr And it just is an incredibly,

799
00:42:30,920 --> 00:42:35,719
Speaker 1: incredibly cynical weaponization of something that is actually real, which

800
00:42:35,760 --> 00:42:39,879
Speaker 1: is prejudice and racism and people being oppressed, and you're

801
00:42:39,920 --> 00:42:44,000
Speaker 1: going to use that to benefit yourself in the most

802
00:42:44,080 --> 00:42:47,200
Speaker 1: just blatant and cynical way possible. Yeah, we have pretty

803
00:42:48,120 --> 00:42:49,879
Speaker 1: on the nose. We have to do another segment which

804
00:42:49,880 --> 00:42:52,480
Speaker 1: somebody sent me this story about Hollywood. I'll just mention

805
00:42:52,520 --> 00:42:55,719
Speaker 1: it briefly. Where they're starting some show called The Activists

806
00:42:56,120 --> 00:42:58,040
Speaker 1: something like this. We're do a whole thing on this,

807
00:42:58,160 --> 00:43:01,440
Speaker 1: but like the TLDR on the entire thing is that

808
00:43:01,719 --> 00:43:04,839
Speaker 1: what is it. They'll have different people compete on their

809
00:43:04,880 --> 00:43:10,120
Speaker 1: reality show judge by like Usher and Priyanka Chopra about

810
00:43:10,320 --> 00:43:13,440
Speaker 1: how much engagement they get online and that that's how

811
00:43:13,480 --> 00:43:17,200
Speaker 1: the person wins. It is the same thing, the cynical,

812
00:43:17,680 --> 00:43:20,600
Speaker 1: you know, monetization of a lot of this, and I know,

813
00:43:20,719 --> 00:43:22,400
Speaker 1: personally I think that's where it was always headed. But

814
00:43:22,800 --> 00:43:25,600
Speaker 1: I pretty much saw this all from the beginning and

815
00:43:25,800 --> 00:43:29,520
Speaker 1: it's very revealing about who exactly controls the levers of

816
00:43:29,600 --> 00:43:31,080
Speaker 1: all of this, and they're all just getting paid and

817
00:43:31,080 --> 00:43:33,160
Speaker 1: they're making a whole lot of money. It's really gross.

818
00:43:33,239 --> 00:43:37,920
Speaker 1: It is extremely gross again using people's really good, genuine

819
00:43:38,040 --> 00:43:42,640
Speaker 1: desire for change, that helps regular people and just turning

820
00:43:42,640 --> 00:43:45,319
Speaker 1: that into a hijacking it for a giant grift. That's

821
00:43:45,360 --> 00:43:50,600
Speaker 1: what's going on here. Interesting little moment from the hearings

822
00:43:50,719 --> 00:43:53,759
Speaker 1: yesterday in Congress with Anthony Blincoln. Yeah, I wanted to

823
00:43:53,800 --> 00:43:56,080
Speaker 1: make sure we highlighted all of this. Given look Anthony

824
00:43:56,080 --> 00:44:00,280
Speaker 1: blinkn he was appearing before Congress yesterday to testify about Afghanistan.

825
00:44:00,440 --> 00:44:05,120
Speaker 1: But Congressman Scott Perry appeared to have some inside information

826
00:44:05,360 --> 00:44:07,920
Speaker 1: about some things that had been happening within the State

827
00:44:07,960 --> 00:44:11,440
Speaker 1: Department visa VI Hunter Biden. And so we know that

828
00:44:11,520 --> 00:44:15,000
Speaker 1: Hunter Biden, and we covered this previously obviously his dealings

829
00:44:15,040 --> 00:44:19,000
Speaker 1: with Barisma, the Ukrainian energy company, his trying to leverage

830
00:44:19,239 --> 00:44:22,320
Speaker 1: State Department contacts then at the time inside the Obama

831
00:44:22,360 --> 00:44:25,920
Speaker 1: administration to benefit his own bottom line had been the

832
00:44:25,960 --> 00:44:29,200
Speaker 1: subject of an FBI investigation. Now, we didn't actually know

833
00:44:29,239 --> 00:44:32,560
Speaker 1: that much about that investigation because Attorney General Bill Barr

834
00:44:32,600 --> 00:44:36,120
Speaker 1: actually barred the reporting on that investigation before the election

835
00:44:36,239 --> 00:44:38,520
Speaker 1: because he didn't want to pull a Hillary Clinton the

836
00:44:38,520 --> 00:44:41,600
Speaker 1: way that James Comey did. But now it seems that

837
00:44:41,640 --> 00:44:47,160
Speaker 1: the investigation has progressed that Congressman Perry hit Secretary Blincoln

838
00:44:47,320 --> 00:44:49,760
Speaker 1: with a number of questions and a reminder. Secretary Blincoln

839
00:44:49,800 --> 00:44:53,399
Speaker 1: is under oath, and he grills him repeatedly on whether

840
00:44:53,480 --> 00:44:56,080
Speaker 1: he's been interviewed by the FBI with respect to this

841
00:44:56,120 --> 00:44:59,680
Speaker 1: investigation and whether he's had to return over documents. Blincoln

842
00:44:59,800 --> 00:45:03,040
Speaker 1: is totally flustered and essentially confirms that it's all true.

843
00:45:03,080 --> 00:45:05,759
Speaker 1: It's a very very revealing exchange. Let's take a listen

844
00:45:05,800 --> 00:45:07,759
Speaker 1: to the whole thing. Ask you this. I just have

845
00:45:07,960 --> 00:45:10,719
Speaker 1: a couple more questions for you. A little off topic here,

846
00:45:10,719 --> 00:45:13,200
Speaker 1: but I think it's interesting. How long was your recent

847
00:45:13,320 --> 00:45:18,040
Speaker 1: interview with the FBI and was it a deposition? I'm sorry,

848
00:45:18,040 --> 00:45:19,959
Speaker 1: I don't know that what you're referring. Are you saying

849
00:45:19,960 --> 00:45:22,040
Speaker 1: that you have not had a recent interview with the

850
00:45:22,080 --> 00:45:30,600
Speaker 1: FBI since becoming Secretary of State. I'm not sure what

851
00:45:30,640 --> 00:45:33,319
Speaker 1: you're referring to, and I'm happy to take that up

852
00:45:33,360 --> 00:45:35,880
Speaker 1: with you offline. Did this Did the State Department turnover

853
00:45:35,960 --> 00:45:40,160
Speaker 1: documents to the FBI related to Hunter, Biden, Barisma and

854
00:45:40,440 --> 00:45:46,600
Speaker 1: or the Blue State Strategies Corporation. You'll have to so

855
00:45:46,719 --> 00:45:48,759
Speaker 1: you have no knowledge of this? You have had no

856
00:45:49,200 --> 00:45:51,000
Speaker 1: you don't you? Are you saying you have had not

857
00:45:51,080 --> 00:45:54,040
Speaker 1: had an interview, since it would not be appropriate for

858
00:45:54,120 --> 00:45:57,240
Speaker 1: me to comment in a public forum on any legal

859
00:45:57,280 --> 00:46:01,520
Speaker 1: proceedings that the Department. More, I'm not asking you to

860
00:46:01,560 --> 00:46:04,359
Speaker 1: comment on the legal proceedings of just asking if you've

861
00:46:04,400 --> 00:46:09,360
Speaker 1: been interviewed by the FBI since becoming Secretary of State. Again,

862
00:46:09,520 --> 00:46:11,719
Speaker 1: I'm not going to comment one way or another on

863
00:46:11,760 --> 00:46:15,319
Speaker 1: any legal proceedings or not that may or may not

864
00:46:15,360 --> 00:46:18,960
Speaker 1: have happened. Let me remind the gentlemen that the topic

865
00:46:19,000 --> 00:46:22,640
Speaker 1: of this hearing is Afghanistan. That's what I appreciate it,

866
00:46:22,680 --> 00:46:26,240
Speaker 1: mister Chairman, But the Secretary generally refuses to answer questions

867
00:46:26,320 --> 00:46:28,600
Speaker 1: about Afghanistan. So I've just figured we talked about something

868
00:46:28,600 --> 00:46:31,000
Speaker 1: you should be intimately familiar with. Have you sought to

869
00:46:31,040 --> 00:46:34,080
Speaker 1: alter any of your testimony from last year's Senate investigation

870
00:46:34,440 --> 00:46:40,560
Speaker 1: regarding this topic, mister Secretary, We are right, very interesting,

871
00:46:40,719 --> 00:46:44,120
Speaker 1: and so look, we're not sensationalizing this. Really, what we're

872
00:46:44,120 --> 00:46:46,720
Speaker 1: saying is there's clearly some stuff that's going on behind

873
00:46:46,719 --> 00:46:50,800
Speaker 1: the scenes, and obviously we're seeing some FBI tip offs

874
00:46:50,840 --> 00:46:54,239
Speaker 1: to the Congressman there. Now, I seem to recall a

875
00:46:54,320 --> 00:46:58,160
Speaker 1: time when the FBI and the intelligence community was tipping

876
00:46:58,200 --> 00:47:00,680
Speaker 1: off Adam Schiff and a lot of other members of Congress,

877
00:47:00,800 --> 00:47:02,880
Speaker 1: so everyone was cool with it. I'm actually kind of

878
00:47:02,880 --> 00:47:05,400
Speaker 1: okay with it, because the more leaks, the better getting

879
00:47:05,400 --> 00:47:09,359
Speaker 1: stuff out in public. I believe in transparency. Matthew Miller, though,

880
00:47:09,600 --> 00:47:12,319
Speaker 1: who is a MSNBC analyst and used to work at

881
00:47:12,320 --> 00:47:16,879
Speaker 1: the DOJA administration and was probably one of the top

882
00:47:16,960 --> 00:47:20,600
Speaker 1: Russia gators over at MSNBC, here's what he has to say.

883
00:47:20,719 --> 00:47:23,480
Speaker 1: Put this tweet up there because it's just amazing. Don't

884
00:47:23,520 --> 00:47:26,360
Speaker 1: know what was going on with Scott Perry's questioning of Blincoln,

885
00:47:26,680 --> 00:47:28,799
Speaker 1: but if he's getting leaks from the FBI about an

886
00:47:28,840 --> 00:47:33,160
Speaker 1: ongoing investigation, that is a very very bad look for Europe.

887
00:47:33,680 --> 00:47:37,799
Speaker 1: Oh my god, the last Miller has never gotten any

888
00:47:37,880 --> 00:47:41,319
Speaker 1: of those leaks himself. Can you believe? Can you believe this?

889
00:47:41,640 --> 00:47:44,520
Speaker 1: Come on? I mean, the thing to remember about these

890
00:47:44,600 --> 00:47:47,719
Speaker 1: leaks is always, like these individual agents, they have their

891
00:47:47,719 --> 00:47:51,280
Speaker 1: own political agendas, pissed off, they have their own either

892
00:47:51,440 --> 00:47:56,000
Speaker 1: political ideologies or you know, some sort of internal bureaucratic

893
00:47:56,160 --> 00:47:59,200
Speaker 1: infighting where they're looking for an angle in news. Always,

894
00:47:59,239 --> 00:48:02,040
Speaker 1: so look, when you see these leaks you should always

895
00:48:02,080 --> 00:48:05,280
Speaker 1: take them from with a grain assault because they're usually

896
00:48:05,320 --> 00:48:10,480
Speaker 1: not coming from a neutral, disinterested party. However, it's hilarious

897
00:48:10,520 --> 00:48:13,200
Speaker 1: for them to handring like, oh, I feel, how could

898
00:48:13,239 --> 00:48:15,520
Speaker 1: they how could they leak? They would never do that

899
00:48:15,640 --> 00:48:18,759
Speaker 1: when I mean, this is what this organization does. You

900
00:48:18,880 --> 00:48:22,360
Speaker 1: knew they manipulate the news cycle. They put on stories

901
00:48:22,400 --> 00:48:24,520
Speaker 1: that they want to put out to make people look

902
00:48:24,560 --> 00:48:27,200
Speaker 1: bad or to make people look good or whatever. So

903
00:48:27,320 --> 00:48:29,239
Speaker 1: you should always take it with a graint assault. That

904
00:48:29,360 --> 00:48:33,200
Speaker 1: being said, I mean Secretary Blincoln clearly very uncomfortable here,

905
00:48:33,480 --> 00:48:35,520
Speaker 1: did not want to answer the question, as you put it,

906
00:48:35,600 --> 00:48:38,920
Speaker 1: basically confirmed that there is something going on there that

907
00:48:38,960 --> 00:48:41,440
Speaker 1: he has sat for some sort of interview with the FBI.

908
00:48:41,719 --> 00:48:45,240
Speaker 1: Now does this turn out to be have any real legs?

909
00:48:45,400 --> 00:48:48,000
Speaker 1: Is it? You know, the type of corruption that sadly

910
00:48:48,160 --> 00:48:52,160
Speaker 1: is like completely legal with regard to Hunter and Barisma,

911
00:48:52,360 --> 00:48:55,040
Speaker 1: what we've seen so far that is, you know, ultimately

912
00:48:55,080 --> 00:48:56,919
Speaker 1: the case. It's the type of stuff that all kinds

913
00:48:56,920 --> 00:48:59,080
Speaker 1: of people engage in all the time in Washington. But

914
00:48:59,280 --> 00:49:02,239
Speaker 1: we'll see. Yeah, I'm very curious to see where it

915
00:49:02,280 --> 00:49:04,799
Speaker 1: all heads. But more importantly, I think it does go

916
00:49:04,880 --> 00:49:08,719
Speaker 1: to show that that last question. Remember Secretary Blinken in

917
00:49:08,760 --> 00:49:11,520
Speaker 1: them because they worked also in the Obama administration State Department.

918
00:49:11,560 --> 00:49:14,000
Speaker 1: He was a high ranking official there and actually had

919
00:49:14,040 --> 00:49:17,880
Speaker 1: some dealings with Joe Biden and the Ukraine policy, so

920
00:49:18,040 --> 00:49:21,440
Speaker 1: he actually had to give some testimony with respect to it.

921
00:49:21,719 --> 00:49:24,840
Speaker 1: We'll see whether a lot of that holds up stands

922
00:49:24,880 --> 00:49:27,520
Speaker 1: what they've seen, both on the laptop and speaking of

923
00:49:27,560 --> 00:49:31,040
Speaker 1: the laptop, this was very interesting. So you guys might

924
00:49:31,080 --> 00:49:34,880
Speaker 1: recall that Twitter actually blocked the entire Hunter Biden story

925
00:49:35,640 --> 00:49:39,080
Speaker 1: back during the election. I think it was in October. Yeah, Well,

926
00:49:39,200 --> 00:49:43,240
Speaker 1: that actual blocking was brought before the Federal Election Committee,

927
00:49:43,280 --> 00:49:48,439
Speaker 1: saying did Twitter essentially give an in kind donation to

928
00:49:48,600 --> 00:49:51,759
Speaker 1: the Biden campaign by blocking that story the spread to

929
00:49:51,920 --> 00:49:54,719
Speaker 1: billions and billions of people on the platform, or you know,

930
00:49:54,840 --> 00:49:58,480
Speaker 1: the potential spread from Twitter and more creating its own

931
00:49:58,480 --> 00:50:02,800
Speaker 1: subsequent news cycle. So the FEC rules against that contention.

932
00:50:02,920 --> 00:50:05,880
Speaker 1: They say they did not give an inkind donation, but

933
00:50:06,440 --> 00:50:11,319
Speaker 1: pay attention to The New York Times's language when describing

934
00:50:11,640 --> 00:50:13,680
Speaker 1: that information. Let's put this up there on the screen.

935
00:50:14,120 --> 00:50:18,520
Speaker 1: This is from Shane Goldmacher. The FBC has dismissed claims

936
00:50:18,520 --> 00:50:22,960
Speaker 1: that Twitter acted illegally when it blocked users from posting

937
00:50:23,160 --> 00:50:30,120
Speaker 1: an unsubstantiated Hunter Biden article. Now here's the thing. Inside

938
00:50:30,200 --> 00:50:33,719
Speaker 1: the New York Times story itself. They refer to the

939
00:50:33,800 --> 00:50:38,439
Speaker 1: Hunter Biden story as quote unsubstantiated that is actually fake

940
00:50:38,520 --> 00:50:43,759
Speaker 1: news because it's based on emails from his laptop that

941
00:50:43,880 --> 00:50:47,160
Speaker 1: he has never denied are real. And you'll remember at

942
00:50:47,200 --> 00:50:50,280
Speaker 1: the time they were like, oh, it's Russian propaganda. Oh

943
00:50:50,400 --> 00:50:53,800
Speaker 1: it's you know, a plant. This is all the horror

944
00:50:53,920 --> 00:50:59,040
Speaker 1: hallmarks of KG disinformation. Look, I mean, is it true

945
00:50:59,320 --> 00:51:01,680
Speaker 1: or is it not true? And if it's not true,

946
00:51:02,120 --> 00:51:04,400
Speaker 1: not a single one of those has been disputed yet

947
00:51:04,719 --> 00:51:08,040
Speaker 1: by Joe Biden or Hunter Biden, which means what the

948
00:51:08,120 --> 00:51:10,160
Speaker 1: laptop is real? Didn't he say? Even He's like, I

949
00:51:10,200 --> 00:51:12,919
Speaker 1: don't know if I dropped off my laptop, Well, weren't

950
00:51:12,920 --> 00:51:16,600
Speaker 1: there like three other laptops that he also lost it? Yeah,

951
00:51:16,719 --> 00:51:21,600
Speaker 1: I mean, obvious crack addict. It was. It was his laptop.

952
00:51:21,719 --> 00:51:24,520
Speaker 1: Now you could debate how like, you know, ultimately people

953
00:51:24,520 --> 00:51:27,240
Speaker 1: elected his dad anyway. Correct? And also I would say

954
00:51:27,640 --> 00:51:32,800
Speaker 1: that Twitter's actions in censoring this article drew it was

955
00:51:32,920 --> 00:51:37,080
Speaker 1: total striss hand aspect drew so much more attention to

956
00:51:37,200 --> 00:51:39,719
Speaker 1: this piece of news and this article that it was

957
00:51:39,760 --> 00:51:43,759
Speaker 1: going to get otherwise. So it's not like it really

958
00:51:43,800 --> 00:51:46,719
Speaker 1: worked out for them. But the SEC decision itself is

959
00:51:46,719 --> 00:51:50,719
Speaker 1: interesting because what they effectively ruled is that Twitter had

960
00:51:50,800 --> 00:51:55,120
Speaker 1: a commercial reason for censoring the article. And I guess

961
00:51:55,120 --> 00:51:58,320
Speaker 1: they'd been warned by the FBI or somebody that Hunter

962
00:51:58,480 --> 00:52:01,319
Speaker 1: might be the target of distipation or something like that,

963
00:52:02,080 --> 00:52:04,640
Speaker 1: so they ruled that they had a commercial reason that

964
00:52:04,760 --> 00:52:08,280
Speaker 1: was outside of a political reason. But I mean, social

965
00:52:08,280 --> 00:52:12,280
Speaker 1: media networks could always argue they have a commercial reason

966
00:52:12,400 --> 00:52:14,960
Speaker 1: because it is ultimately about now. They're worried about their

967
00:52:14,960 --> 00:52:17,359
Speaker 1: business model. They're worried about profit margin more than they

968
00:52:17,360 --> 00:52:22,160
Speaker 1: are any particular political ideology. So it basically means that

969
00:52:22,239 --> 00:52:25,080
Speaker 1: they have carte blanche to deal with these things whatever

970
00:52:25,080 --> 00:52:28,240
Speaker 1: they want. I think it's yeah, the decision itself is troubling.

971
00:52:28,320 --> 00:52:30,160
Speaker 1: The fact that the media still refers to it as

972
00:52:30,200 --> 00:52:34,000
Speaker 1: unsubstantiated troubling. But look, it does all link back maybe

973
00:52:34,120 --> 00:52:37,400
Speaker 1: to a bigger investigation. And when we saw that exchange,

974
00:52:37,440 --> 00:52:40,200
Speaker 1: I thought, wow, that's actually could be big, you know,

975
00:52:40,239 --> 00:52:43,640
Speaker 1: it could be something that might come out that being said.

976
00:52:43,840 --> 00:52:47,080
Speaker 1: You know, it could be nothing, who knows. Yeah, we'll

977
00:52:47,120 --> 00:52:49,200
Speaker 1: continue to watch it. Wow, you guys must really like

978
00:52:49,200 --> 00:52:51,160
Speaker 1: listening to our voices. Well, I know this is annoying

979
00:52:51,200 --> 00:52:53,839
Speaker 1: instead of making you listen to a Viagra commercial. When

980
00:52:53,840 --> 00:52:56,000
Speaker 1: you're done, check out the other podcast I do with

981
00:52:56,040 --> 00:52:58,640
Speaker 1: Martial Costsoff called The Realignment. We talk a lot about

982
00:52:58,640 --> 00:53:02,000
Speaker 1: the deeper issues that are changed realigning in American society.

983
00:53:02,160 --> 00:53:04,440
Speaker 1: You always need more Crystal and Zager in your daily lives.

984
00:53:04,560 --> 00:53:07,320
Speaker 1: Take care, guys, All right, Sager, what are you looking at? Well?

985
00:53:07,360 --> 00:53:09,239
Speaker 1: As you all know, I've long been obsessed with the

986
00:53:09,280 --> 00:53:11,839
Speaker 1: case of Epstein. I see it as a window into

987
00:53:11,880 --> 00:53:14,560
Speaker 1: just how corrupt the American elite is, how they can

988
00:53:14,600 --> 00:53:17,480
Speaker 1: be manipulated, how the systems of justice and power that

989
00:53:17,520 --> 00:53:20,040
Speaker 1: we have in this country literally stop at nothing to

990
00:53:20,080 --> 00:53:23,360
Speaker 1: advance themselves, even if it means protecting and convorting with

991
00:53:23,440 --> 00:53:26,160
Speaker 1: the worst monsters in our society. And as you also

992
00:53:26,200 --> 00:53:30,319
Speaker 1: all know, Epstein did jot. He did not just ensnare democrats.

993
00:53:30,640 --> 00:53:34,600
Speaker 1: He had a relationship with the power elite of finance, science,

994
00:53:34,880 --> 00:53:39,560
Speaker 1: technology princes, former Presidents Bill Clinton, and Donald Trump. Now

995
00:53:39,600 --> 00:53:43,200
Speaker 1: we're learning it seems also one of Trump's closest advisors

996
00:53:43,360 --> 00:53:47,880
Speaker 1: Steve Bannon Get this. A bombshell revelation dropped yesterday in

997
00:53:47,920 --> 00:53:51,799
Speaker 1: The New York Times revealing that provocateur Michael Wolfe got

998
00:53:51,800 --> 00:53:55,320
Speaker 1: his hands on a transcript of hours of on camera

999
00:53:55,480 --> 00:53:59,680
Speaker 1: interaction between Steve Bannon and Jeffrey Epstein in the last

1000
00:53:59,760 --> 00:54:04,000
Speaker 1: day of Jeffrey Epstein's life. Bannon, in the reported interaction,

1001
00:54:04,440 --> 00:54:08,600
Speaker 1: appeared to be coaching Epstein before a scheduled sixty minutes

1002
00:54:08,680 --> 00:54:13,000
Speaker 1: interview that never ended up happening. He told the pedophile, quote,

1003
00:54:13,040 --> 00:54:17,319
Speaker 1: you're engaging, you're not threatening, You're natural, you're friendly, you

1004
00:54:17,440 --> 00:54:21,560
Speaker 1: don't look at all creepy. You're a sympathetic figure. Wolfe

1005
00:54:21,640 --> 00:54:24,640
Speaker 1: describes the session as a quasi interview in which Bannon

1006
00:54:25,080 --> 00:54:29,719
Speaker 1: was supposedly providing quote media training to mister Epstein. Per

1007
00:54:29,760 --> 00:54:33,840
Speaker 1: Michael Wolfe, Bannon repeatedly tells Epstein he has one message

1008
00:54:33,880 --> 00:54:37,560
Speaker 1: to convey that he is not a pedophile, and said

1009
00:54:37,560 --> 00:54:41,680
Speaker 1: that he was impressed by his progress. Bannon disputes that characterization.

1010
00:54:41,800 --> 00:54:44,960
Speaker 1: He told The New York Times that actually he interviewed

1011
00:54:45,000 --> 00:54:48,319
Speaker 1: Epstein over the course of hours, and they were conducted

1012
00:54:48,600 --> 00:54:52,600
Speaker 1: for an unannounced documentary series which is supposed to show

1013
00:54:52,600 --> 00:54:57,399
Speaker 1: Epstein's quote perversions and depravity towards young women were part

1014
00:54:57,440 --> 00:55:00,319
Speaker 1: of a life that was systematically supported in courage and

1015
00:55:00,360 --> 00:55:03,600
Speaker 1: rewarded by global establishment that dined off of his money

1016
00:55:03,600 --> 00:55:07,719
Speaker 1: and his influence. Now, if that's legit, look sign me up.

1017
00:55:07,880 --> 00:55:10,680
Speaker 1: But I still have a lot of questions. Those interviews

1018
00:55:10,719 --> 00:55:14,400
Speaker 1: took place over two years ago in early twenty nineteen.

1019
00:55:14,840 --> 00:55:17,879
Speaker 1: What is Steve Bannon waiting for interviews in the very

1020
00:55:17,960 --> 00:55:21,759
Speaker 1: last months of Epstein's life are the definition of newsworthy?

1021
00:55:22,120 --> 00:55:25,560
Speaker 1: How is it We're only hearing about this now? And look,

1022
00:55:25,719 --> 00:55:28,440
Speaker 1: I know it's Michael Wolf, but Bannon did not dispute

1023
00:55:28,440 --> 00:55:32,280
Speaker 1: the legitimacy of that transcript at all. Per Wolf, Epstein

1024
00:55:32,360 --> 00:55:36,920
Speaker 1: himself seemed to believe Bannon was coaching him in practice interviews.

1025
00:55:37,160 --> 00:55:39,759
Speaker 1: So whatever the truth is, we need to learn about it.

1026
00:55:40,040 --> 00:55:43,200
Speaker 1: More importantly, we got to see those tapes like now

1027
00:55:43,320 --> 00:55:46,400
Speaker 1: as soon as possible. Interviews with Epstein right before he

1028
00:55:46,440 --> 00:55:49,680
Speaker 1: was imprisoned and ultimately died are a wealth of information.

1029
00:55:49,960 --> 00:55:53,839
Speaker 1: I simply refuse to believe something so incredibly explosive could

1030
00:55:53,880 --> 00:55:56,600
Speaker 1: sit in a vault for more than two years unless

1031
00:55:56,600 --> 00:55:59,800
Speaker 1: there's a really good reason or other factors at play

1032
00:56:00,600 --> 00:56:03,560
Speaker 1: Beyond the specifics of the case. It's a reminder how

1033
00:56:03,600 --> 00:56:06,800
Speaker 1: much Epstein cavorted and sought advice or seemed to become

1034
00:56:06,960 --> 00:56:10,400
Speaker 1: entangled with nearly anyone whose name that you would recognize

1035
00:56:10,400 --> 00:56:14,040
Speaker 1: from a newspaper, scientists and presidents, the richest man in

1036
00:56:14,080 --> 00:56:18,040
Speaker 1: the world, Bill Gates, the Princes Prince Andrew, you'll recall,

1037
00:56:18,200 --> 00:56:20,800
Speaker 1: he's effectively been in hiding now for the last two years,

1038
00:56:21,000 --> 00:56:24,600
Speaker 1: ever since his disastrous BBC interview in twenty nineteen where

1039
00:56:24,600 --> 00:56:27,200
Speaker 1: he denied that it was him in a photograph with

1040
00:56:27,280 --> 00:56:30,160
Speaker 1: his arm around a young woman named Virginia Guffray. She

1041
00:56:30,320 --> 00:56:32,800
Speaker 1: was accused Epstein of sexually trafficking her as a miner,

1042
00:56:32,960 --> 00:56:36,359
Speaker 1: and specifically leveled at Andrew himself took advantage of her

1043
00:56:36,520 --> 00:56:39,320
Speaker 1: when she was under age. Well, it seems the Prince's

1044
00:56:39,360 --> 00:56:43,160
Speaker 1: attempts at hiding haven't worked fully. According to Virginia Gufray's

1045
00:56:43,239 --> 00:56:46,440
Speaker 1: legal team, Prince Andrew was served with legal papers at

1046
00:56:46,480 --> 00:56:51,440
Speaker 1: his house. This matters because the legal proceedings against Andrew

1047
00:56:51,719 --> 00:56:56,560
Speaker 1: can't actually begin until he's been physically served with papers. Now,

1048
00:56:56,600 --> 00:56:58,680
Speaker 1: given the fact that he's a prince and he has

1049
00:56:58,760 --> 00:57:01,600
Speaker 1: guards to keep a keep him from a public It's

1050
00:57:01,640 --> 00:57:06,000
Speaker 1: obviously a little difficult, so get this. According to Gufrey's

1051
00:57:06,120 --> 00:57:10,799
Speaker 1: legal team, Prince Andrew's security team rejected the attempts to

1052
00:57:10,880 --> 00:57:14,520
Speaker 1: serve them with papers, saying they quote were instructed not

1053
00:57:14,640 --> 00:57:18,439
Speaker 1: to accept service of any court process. Her legal team

1054
00:57:18,520 --> 00:57:21,120
Speaker 1: was later told that if they gave the papers to

1055
00:57:21,200 --> 00:57:24,520
Speaker 1: a police officer, they would then be considered served. But

1056
00:57:24,640 --> 00:57:27,920
Speaker 1: Andrew was not at the residence and his shadowy whereabouts

1057
00:57:27,960 --> 00:57:31,360
Speaker 1: are difficult to track. So all of this matters because

1058
00:57:31,400 --> 00:57:34,920
Speaker 1: Andrew's plan is not to dispute the charges leveled against

1059
00:57:35,000 --> 00:57:38,480
Speaker 1: him by Goufray, though he denies any wrongdoing, it's to

1060
00:57:38,600 --> 00:57:41,480
Speaker 1: challenge that he was ever served at all in New

1061
00:57:41,600 --> 00:57:45,800
Speaker 1: York State Court, where the civil suit is taking place. Furthermore,

1062
00:57:46,080 --> 00:57:49,160
Speaker 1: after that, the Prince and his legal team are charging

1063
00:57:49,160 --> 00:57:52,720
Speaker 1: that the US doesn't even have any jurisdiction over this case. Now,

1064
00:57:52,760 --> 00:57:55,000
Speaker 1: none of this would matter if Prince Andrew just met

1065
00:57:55,040 --> 00:57:58,160
Speaker 1: with FBI agents and sat down for an interview with them, except,

1066
00:57:58,160 --> 00:58:01,400
Speaker 1: of course, he refuses to do that. The man is

1067
00:58:01,480 --> 00:58:04,840
Speaker 1: literally in hiding. The Queen retired him from public life.

1068
00:58:04,960 --> 00:58:07,640
Speaker 1: He has not spoken in public in two years, he

1069
00:58:07,720 --> 00:58:10,960
Speaker 1: hides behind great, big walls, and he literally has the

1070
00:58:10,960 --> 00:58:15,200
Speaker 1: police intercepting summons for him to be served in a

1071
00:58:15,280 --> 00:58:19,760
Speaker 1: legal proceeding where he's accused of grave sexual misconduct. Do

1072
00:58:19,840 --> 00:58:23,400
Speaker 1: you need any more evidence of how the powerful are protected?

1073
00:58:23,760 --> 00:58:26,400
Speaker 1: If only you and I had literal guards to shield

1074
00:58:26,480 --> 00:58:28,920
Speaker 1: us all the time, Just imagine how much more convenient

1075
00:58:28,920 --> 00:58:31,760
Speaker 1: life would be. I pair these two things together because

1076
00:58:31,800 --> 00:58:34,600
Speaker 1: they're fitting questions that were raised in this case. What

1077
00:58:34,960 --> 00:58:38,439
Speaker 1: exactly is the deal? How did he ensnare so many

1078
00:58:38,480 --> 00:58:42,360
Speaker 1: people it seems? Why does every headline never actually answer

1079
00:58:42,440 --> 00:58:45,760
Speaker 1: the final question? Gaalaine Maxwell has literally been sitting in

1080
00:58:45,800 --> 00:58:48,960
Speaker 1: prison for over a year. What's going on? Why have

1081
00:58:49,080 --> 00:58:52,120
Speaker 1: no names actually come out from the case. So many

1082
00:58:52,200 --> 00:58:54,640
Speaker 1: of you asked me to do updates on Epstein, and look,

1083
00:58:54,840 --> 00:58:57,600
Speaker 1: I would love to. Here's the truth, though the case

1084
00:58:57,680 --> 00:59:00,160
Speaker 1: is just like this. It lives in the shadow, those

1085
00:59:00,440 --> 00:59:03,520
Speaker 1: little tidbits they dribble out from time to time, month

1086
00:59:03,560 --> 00:59:05,960
Speaker 1: after month, and I doubt the full truth will ever

1087
00:59:06,000 --> 00:59:08,800
Speaker 1: come out. But look, if something ever does, we'll keep

1088
00:59:08,800 --> 00:59:11,440
Speaker 1: you updated. I mean that Bannon thing, Crystal, I have

1089
00:59:11,480 --> 00:59:15,200
Speaker 1: fast question totally nuts. So what one more thing? I

1090
00:59:15,280 --> 00:59:17,600
Speaker 1: promise just wanted to make sure you knew about my

1091
00:59:17,720 --> 00:59:20,880
Speaker 1: podcast with Kyle Kolinski. It's called Crystal, Kyle and Friends,

1092
00:59:20,880 --> 00:59:23,880
Speaker 1: where we do long form interviews with people like Nom Chomsky,

1093
00:59:23,960 --> 00:59:27,240
Speaker 1: Cornell West, and Glenn Greenwald. You can listen on any

1094
00:59:27,280 --> 00:59:30,680
Speaker 1: podcast platform, or you can subscribe over on substack to

1095
00:59:30,680 --> 00:59:32,680
Speaker 1: get the video a day early. We're going to stop

1096
00:59:32,720 --> 00:59:35,520
Speaker 1: bugging you now enjoy Crystal. What do you take a

1097
00:59:35,560 --> 00:59:39,200
Speaker 1: look at? Well? Back in twenty nineteen, Brazilian soccer star

1098
00:59:39,520 --> 00:59:42,320
Speaker 1: Neaymar was accused of rape. In response, he took to

1099
00:59:42,320 --> 00:59:45,960
Speaker 1: Facebook and also to Instagram, recording videos that revealed nude

1100
00:59:46,040 --> 00:59:48,760
Speaker 1: photos of his accuser and an attempt to smear her

1101
00:59:48,840 --> 00:59:52,360
Speaker 1: and protect himself. Now, ordinarily, such an action would constitute

1102
00:59:52,360 --> 00:59:55,240
Speaker 1: a blatant violation of Facebook's terms of service and would

1103
00:59:55,280 --> 00:59:58,520
Speaker 1: lead to a very clear outcome. Not only would that

1104
00:59:58,560 --> 01:00:02,959
Speaker 1: content be immediately removed, but the user's entire account would

1105
01:00:03,000 --> 01:00:07,160
Speaker 1: be deleted for posting non consensual news. But in this instance,

1106
01:00:07,560 --> 01:00:10,720
Speaker 1: for some strange reason, no action was taken. For more

1107
01:00:10,760 --> 01:00:13,760
Speaker 1: than twenty four hours that content was allowed to remain

1108
01:00:13,880 --> 01:00:17,160
Speaker 1: up while it racked up more than fifty six million

1109
01:00:17,280 --> 01:00:22,760
Speaker 1: views from his one hundred and fifty million followers. Why well,

1110
01:00:22,920 --> 01:00:25,160
Speaker 1: we are now learning, according to documents obtained by The

1111
01:00:25,200 --> 01:00:28,400
Speaker 1: Wall Street Journal, that this lack of action was no error,

1112
01:00:28,560 --> 01:00:32,480
Speaker 1: but part of an intentional system of protection for elite

1113
01:00:32,600 --> 01:00:36,400
Speaker 1: users on Facebook. So while Zuckerberg and other Facebook executives

1114
01:00:36,440 --> 01:00:39,160
Speaker 1: have always insisted that all users of Facebook and Instagram

1115
01:00:39,200 --> 01:00:44,920
Speaker 1: are treated equally, in reality, VIPs receive explicit special treatment

1116
01:00:45,120 --> 01:00:48,479
Speaker 1: through a program internally named Crosscheck. Here's the Wall Street

1117
01:00:48,520 --> 01:00:52,000
Speaker 1: Journal quote. The program was initially intended as a quality

1118
01:00:52,000 --> 01:00:56,640
Speaker 1: control measure for actions taken against high profile accounts, including celebrities, politicians,

1119
01:00:56,640 --> 01:01:01,720
Speaker 1: and journalists. Today, it shields millions of VIP users from

1120
01:01:01,760 --> 01:01:05,680
Speaker 1: the company's normal enforcement process. The documents show some users

1121
01:01:05,720 --> 01:01:09,400
Speaker 1: are quote whitelisted, rendered immune from enforcement actions, while others

1122
01:01:09,440 --> 01:01:12,560
Speaker 1: are allowed to post rule violating material pending Facebook employee

1123
01:01:12,560 --> 01:01:16,640
Speaker 1: reviews that often never come. So here's how it all works.

1124
01:01:16,920 --> 01:01:20,760
Speaker 1: Facebook identifies a whole list of elite athletes, journalists, politicians,

1125
01:01:20,800 --> 01:01:24,240
Speaker 1: other influencers who they deem as posing a pr risk

1126
01:01:24,360 --> 01:01:26,959
Speaker 1: for the company by dint of their fame, their money,

1127
01:01:27,080 --> 01:01:31,480
Speaker 1: or their power. Those elites are then whitelisted and exempted

1128
01:01:31,480 --> 01:01:35,960
Speaker 1: from the normal process of automated enforcement. In theory, human

1129
01:01:35,960 --> 01:01:39,560
Speaker 1: beings are supposed to review any potential violations by those

1130
01:01:39,600 --> 01:01:45,080
Speaker 1: whitelisted elites, but in practice that human enforcement rarely actually occurs.

1131
01:01:45,440 --> 01:01:48,720
Speaker 1: Only ten percent of cross check posts were subjected to

1132
01:01:48,760 --> 01:01:52,920
Speaker 1: review for enforcement at all. Facebook's own internal analysis of

1133
01:01:52,960 --> 01:01:56,960
Speaker 1: the program and the special treatment afforded VIPs was absolutely scathing.

1134
01:01:57,320 --> 01:02:01,880
Speaker 1: A company document said the program was quote not publicly defensible,

1135
01:02:02,240 --> 01:02:05,560
Speaker 1: adding we are not actually doing what we say we

1136
01:02:05,640 --> 01:02:09,080
Speaker 1: do publicly. In other words, Facebook has been blatantly lying

1137
01:02:09,080 --> 01:02:12,160
Speaker 1: about their policies, lying to the public, lying to Congress,

1138
01:02:12,160 --> 01:02:15,760
Speaker 1: and even lying to their own oversight board. Just as

1139
01:02:15,760 --> 01:02:18,880
Speaker 1: significant as the revelation that Facebook exempts millions of users

1140
01:02:18,880 --> 01:02:22,200
Speaker 1: from normal protocols is the reason why they do it.

1141
01:02:22,680 --> 01:02:26,600
Speaker 1: Facebook's special enforcement system for VIP users arose from the

1142
01:02:26,640 --> 01:02:29,880
Speaker 1: fact that it's human and automated content enforcement systems that

1143
01:02:29,960 --> 01:02:34,360
Speaker 1: are normally used regularly flubbed calls. They know that they

1144
01:02:34,400 --> 01:02:37,080
Speaker 1: screw up all the time, and so they instituted a

1145
01:02:37,080 --> 01:02:40,240
Speaker 1: system in an attempt to minimize the pr backlash of

1146
01:02:40,280 --> 01:02:44,680
Speaker 1: such screw ups. Clearly, Facebook does not actually care about consistency.

1147
01:02:44,720 --> 01:02:47,280
Speaker 1: They don't actually care about getting things right they care

1148
01:02:47,320 --> 01:02:49,640
Speaker 1: about someone with a big following being able to make

1149
01:02:49,640 --> 01:02:53,520
Speaker 1: the public aware of their many frequent screwups, because if

1150
01:02:53,560 --> 01:02:55,600
Speaker 1: that happened, it would be all too easy for the

1151
01:02:55,600 --> 01:02:58,800
Speaker 1: public to see just what an absolutely dreadful idea it

1152
01:02:58,880 --> 01:03:02,080
Speaker 1: is to outsource your CLVI discourse, your fact checking, and

1153
01:03:02,120 --> 01:03:07,520
Speaker 1: your medical science adjudication to any soulis multinational monopoly. Now,

1154
01:03:07,520 --> 01:03:11,080
Speaker 1: there are real consequences to this codified favoritism too. As

1155
01:03:11,240 --> 01:03:14,360
Speaker 1: just one small example, Facebook is often central to the campaigns,

1156
01:03:14,360 --> 01:03:18,840
Speaker 1: in particular of upstart anti establishment candidates. AOC was able

1157
01:03:18,840 --> 01:03:20,920
Speaker 1: to oust a long time incumbent thanks in part to

1158
01:03:20,960 --> 01:03:24,880
Speaker 1: her savvy use of Facebook targeting. But while crosscheck whitelist's

1159
01:03:24,960 --> 01:03:29,280
Speaker 1: most sitting politicians, it excludes their opponents, who are subject

1160
01:03:29,360 --> 01:03:32,840
Speaker 1: to the normal, bumbling, automated censorship of the masses on

1161
01:03:32,880 --> 01:03:36,760
Speaker 1: a platform as important and as pervasive as Facebook. This

1162
01:03:36,880 --> 01:03:41,680
Speaker 1: type of political favoritism is actual election interference. One set

1163
01:03:41,680 --> 01:03:44,400
Speaker 1: of rules for the politicians in power, and another set

1164
01:03:44,440 --> 01:03:47,479
Speaker 1: of rules for those on the outside seeking to oust them.

1165
01:03:47,880 --> 01:03:50,400
Speaker 1: In fact, in related news that we mentioned earlier, the

1166
01:03:50,480 --> 01:03:53,640
Speaker 1: FVC just ruled that Twitter was justified in their unprecedented

1167
01:03:53,640 --> 01:03:55,760
Speaker 1: decision to block that sharing of the New York Post

1168
01:03:55,800 --> 01:03:58,600
Speaker 1: article on the contents of Hunter Biden's laptop back in

1169
01:03:58,600 --> 01:04:01,280
Speaker 1: the run up to twenty twenty, The Federal Election Commission

1170
01:04:01,360 --> 01:04:04,680
Speaker 1: ruled that twitter censorship of this legitimate political story was

1171
01:04:04,720 --> 01:04:07,520
Speaker 1: fine because it was based on a commercial purpose, not

1172
01:04:07,560 --> 01:04:11,120
Speaker 1: a political purpose. Of course, every action taken by these

1173
01:04:11,160 --> 01:04:14,560
Speaker 1: companies is first and foremost about a commercial purpose. It's

1174
01:04:14,560 --> 01:04:17,480
Speaker 1: about protecting their profit margins. It's just that their pursuit

1175
01:04:17,520 --> 01:04:22,160
Speaker 1: of profits rather inconveniently screws our political system, creating biases,

1176
01:04:22,320 --> 01:04:25,760
Speaker 1: stifling debate, and censoring descent. All of this is to

1177
01:04:25,800 --> 01:04:28,480
Speaker 1: say that cheering for Twitter and Facebook and other tech

1178
01:04:28,520 --> 01:04:31,800
Speaker 1: monopolies to have more powers of censorship and more avenues

1179
01:04:31,840 --> 01:04:35,640
Speaker 1: for manipulation is pure insanity. Just look at the lies

1180
01:04:35,680 --> 01:04:38,720
Speaker 1: they'll tell, the wild errors that they make, and know

1181
01:04:38,800 --> 01:04:42,200
Speaker 1: that they make the codified bias that applies one set

1182
01:04:42,200 --> 01:04:44,440
Speaker 1: of rules to those in power and another set to

1183
01:04:44,600 --> 01:04:47,560
Speaker 1: everyone else. I guess in that way, these companies are

1184
01:04:47,560 --> 01:04:50,920
Speaker 1: really just like the rest of American society, explicitly crafted

1185
01:04:50,920 --> 01:04:54,160
Speaker 1: to protect and serve elites. In this case, that elite

1186
01:04:54,200 --> 01:04:56,760
Speaker 1: agenda has been enabled by the useful dupes whose good

1187
01:04:56,760 --> 01:05:00,160
Speaker 1: intentions of opposing hatred and bigotry have been manipulated to

1188
01:05:00,360 --> 01:05:04,120
Speaker 1: justify handing more power to the already powerful. Just another

1189
01:05:04,200 --> 01:05:07,760
Speaker 1: mask off moment for the entire rigged game. And Zager's

1190
01:05:07,760 --> 01:05:12,600
Speaker 1: pretty incredible, Like, I mean, they just blatantly lie joining us.

1191
01:05:12,640 --> 01:05:15,400
Speaker 1: Now we have staff writer at The Atlantic, Derek Thompson.

1192
01:05:15,440 --> 01:05:18,479
Speaker 1: He's out with a new piece why Americans die so much.

1193
01:05:18,680 --> 01:05:21,320
Speaker 1: US life spans, which have fallen behind those in Europe,

1194
01:05:21,360 --> 01:05:24,480
Speaker 1: are telling us something important about American society. Derek. It's

1195
01:05:24,480 --> 01:05:26,880
Speaker 1: so great to see you, great to be back. Thank

1196
01:05:26,880 --> 01:05:29,520
Speaker 1: you appreciate Derek. Let's just start with the facts here.

1197
01:05:30,240 --> 01:05:33,680
Speaker 1: Something we've tracked closely, certainly at this show over years

1198
01:05:33,720 --> 01:05:36,720
Speaker 1: at this point is the fact that mortality is declining

1199
01:05:36,760 --> 01:05:39,120
Speaker 1: in the US. But I actually hadn't thought to really

1200
01:05:39,120 --> 01:05:41,280
Speaker 1: compare it to Okay, well, how are we doing versus

1201
01:05:41,280 --> 01:05:43,480
Speaker 1: the rest of the developed world. That's what you take

1202
01:05:43,720 --> 01:05:46,600
Speaker 1: a look at here. What did you find, Derek, There's

1203
01:05:46,640 --> 01:05:49,640
Speaker 1: two really interesting points about this new study that came

1204
01:05:49,680 --> 01:05:52,240
Speaker 1: out just last week. The first point is that in

1205
01:05:52,360 --> 01:05:55,320
Speaker 1: nineteen ninety American life spans are basically the same as

1206
01:05:55,320 --> 01:05:57,520
Speaker 1: every country in Western Europe, the same as Germany, same

1207
01:05:57,520 --> 01:06:00,000
Speaker 1: as UK, same as Spain, and in the last thirty years,

1208
01:06:00,000 --> 01:06:03,479
Speaker 1: there's something has happened. There has been this divergence between

1209
01:06:03,560 --> 01:06:07,000
Speaker 1: Western Europe, where almost every country is average lifespan over

1210
01:06:07,040 --> 01:06:09,360
Speaker 1: eighty and the US where we sort of hit seventy

1211
01:06:09,440 --> 01:06:11,120
Speaker 1: nine and then it started to fall back from that.

1212
01:06:11,960 --> 01:06:14,560
Speaker 1: So that's the dark side of this story. But there's

1213
01:06:14,560 --> 01:06:17,120
Speaker 1: a light side too in this in this finding, which

1214
01:06:17,160 --> 01:06:19,600
Speaker 1: is that you know, historically there has always been this

1215
01:06:19,880 --> 01:06:22,880
Speaker 1: large black white gap, this difference between the average life

1216
01:06:22,880 --> 01:06:25,320
Speaker 1: span of a black American and a white American. But

1217
01:06:25,480 --> 01:06:29,120
Speaker 1: interestingly and almost kind of like paradoxically, that has fallen

1218
01:06:29,560 --> 01:06:32,640
Speaker 1: in the last thirty years. The black white gap has

1219
01:06:32,680 --> 01:06:35,720
Speaker 1: actually fallen by fifty percent. And so the way that

1220
01:06:35,800 --> 01:06:38,200
Speaker 1: I sort of think about twinning these two stories that

1221
01:06:38,240 --> 01:06:40,400
Speaker 1: seems to pull apart, like America is doing well but

1222
01:06:40,480 --> 01:06:44,440
Speaker 1: America's doing horribly, is that the way that we're falling

1223
01:06:44,520 --> 01:06:47,959
Speaker 1: behind Europe, the reasons we're falling behind Europe might be

1224
01:06:48,040 --> 01:06:51,400
Speaker 1: fixed if we pay attention to exactly why we've been

1225
01:06:51,440 --> 01:06:56,520
Speaker 1: successful at raising black longevities relative to white longevity in

1226
01:06:56,520 --> 01:06:59,040
Speaker 1: the last thirty years. That has to do with Medicaid expansion.

1227
01:06:59,280 --> 01:07:02,840
Speaker 1: It has to do funndamentally with policy. Lifespan I think

1228
01:07:03,000 --> 01:07:06,160
Speaker 1: is a policy choice, and we need to make more

1229
01:07:06,280 --> 01:07:09,160
Speaker 1: right choices rather than wrong ones. So what happened there?

1230
01:07:09,560 --> 01:07:11,680
Speaker 1: I mean, I hate to open up this can of worms,

1231
01:07:11,720 --> 01:07:16,040
Speaker 1: but is it basically that we prioritized like minority healthcare

1232
01:07:16,280 --> 01:07:20,920
Speaker 1: over like majority healthcare. What exactly were the specific policy

1233
01:07:21,000 --> 01:07:24,640
Speaker 1: choices that created both a collapse in the divergence but

1234
01:07:24,800 --> 01:07:29,720
Speaker 1: overall an increase in the death rate of the country. Right, So,

1235
01:07:29,920 --> 01:07:32,760
Speaker 1: I think it's important to point out that Americans on

1236
01:07:32,840 --> 01:07:35,440
Speaker 1: average live longer than they did in nineteen ninety. It

1237
01:07:35,520 --> 01:07:39,440
Speaker 1: is that our growth of lifespan hasn't been anything like

1238
01:07:39,480 --> 01:07:42,200
Speaker 1: Europe's growth, right, Okay, And so you're thinking, Okay, why

1239
01:07:42,280 --> 01:07:45,520
Speaker 1: is that the case? Why are we falling behind in progress?

1240
01:07:45,880 --> 01:07:49,640
Speaker 1: The answer, I think comes down to equality. There is

1241
01:07:49,680 --> 01:07:54,240
Speaker 1: something about treating everyone's life as if it is equal

1242
01:07:54,400 --> 01:07:57,200
Speaker 1: at the national health care level, it seems to be

1243
01:07:57,240 --> 01:08:00,360
Speaker 1: better for everybody's outcome. You know, some people who were

1244
01:08:00,560 --> 01:08:04,480
Speaker 1: against egalitarian policy sometimes say, well, yes, Europe has more

1245
01:08:04,600 --> 01:08:09,920
Speaker 1: equal policies, but it's all one big, mediocre muddle. Well, actually,

1246
01:08:10,560 --> 01:08:14,000
Speaker 1: rich Europeans live longer than rich Americans. That was one

1247
01:08:14,040 --> 01:08:18,640
Speaker 1: of the really fascinating findings of this study. So the

1248
01:08:18,760 --> 01:08:21,160
Speaker 1: answer to your question, I think is that starting in

1249
01:08:21,200 --> 01:08:23,519
Speaker 1: the nineteen nineties, we did a couple of things that

1250
01:08:23,600 --> 01:08:26,320
Speaker 1: made a really big difference, I think in black longevity.

1251
01:08:26,800 --> 01:08:30,320
Speaker 1: We expanded medicaid so that we had much better outcomes

1252
01:08:30,320 --> 01:08:34,360
Speaker 1: for pregnant women and minority infants. We expanded the earned

1253
01:08:34,360 --> 01:08:36,559
Speaker 1: income tax credit and the child tax credit, and that

1254
01:08:36,680 --> 01:08:40,599
Speaker 1: reduced various measures of poverty among both white and non

1255
01:08:40,680 --> 01:08:43,440
Speaker 1: white Americans. And that was really good for increasing longevity

1256
01:08:44,080 --> 01:08:47,160
Speaker 1: in low income areas. But we're not doing it enough.

1257
01:08:47,320 --> 01:08:49,960
Speaker 1: We still don't have perfectly universal health care. We still

1258
01:08:50,040 --> 01:08:53,240
Speaker 1: have the most inequality in the OECD, we still have

1259
01:08:53,320 --> 01:08:56,519
Speaker 1: the highest poverty rates in the OECD. And so the

1260
01:08:56,560 --> 01:08:59,519
Speaker 1: big blaring lesson that I took from this paper is

1261
01:09:00,160 --> 01:09:04,920
Speaker 1: keep going, keep moving toward the kind of social democracy

1262
01:09:05,200 --> 01:09:10,040
Speaker 1: that we see in Europe, producing these extraordinarily longer lifespans,

1263
01:09:10,240 --> 01:09:13,200
Speaker 1: not only for the poor but also for the rich.

1264
01:09:13,520 --> 01:09:15,720
Speaker 1: This is a kind of free lunch that we can

1265
01:09:15,800 --> 01:09:19,639
Speaker 1: have that social democracy can help everybody live longer, whether

1266
01:09:19,680 --> 01:09:22,960
Speaker 1: they live in the poorest counties or the richest and Derek,

1267
01:09:23,000 --> 01:09:25,679
Speaker 1: I think people will actually find this kind of shocking

1268
01:09:25,880 --> 01:09:28,920
Speaker 1: because in America, we take it for granted that rich

1269
01:09:28,960 --> 01:09:31,719
Speaker 1: people live longer than poor people. We just assume that's

1270
01:09:31,760 --> 01:09:35,000
Speaker 1: just the way it is. That's not the case in Europe.

1271
01:09:35,040 --> 01:09:38,559
Speaker 1: You right here that Europe's mortality rates are actually very

1272
01:09:38,680 --> 01:09:42,440
Speaker 1: very similar between the richest community and the poorest communities.

1273
01:09:42,560 --> 01:09:45,720
Speaker 1: Just dig into that data. I think you summarize it

1274
01:09:45,800 --> 01:09:50,320
Speaker 1: very well. In the US, where you live determines when

1275
01:09:50,360 --> 01:09:52,880
Speaker 1: you'll die to a certain extent, people who live in

1276
01:09:52,920 --> 01:09:56,200
Speaker 1: high poverty areas die years and years before people who

1277
01:09:56,200 --> 01:09:58,600
Speaker 1: live in low poverty areas. In Europe, that's just not

1278
01:09:58,720 --> 01:10:00,960
Speaker 1: the case. And this is really surprising me as someone

1279
01:10:01,000 --> 01:10:02,920
Speaker 1: who's born in America lives in America, and I guess

1280
01:10:02,960 --> 01:10:05,800
Speaker 1: has sort of internalized various American truths that like, of

1281
01:10:05,880 --> 01:10:08,000
Speaker 1: course the rich tend to live longer, it's not a

1282
01:10:08,040 --> 01:10:10,120
Speaker 1: good thing, but they tend to live longer than the poor.

1283
01:10:10,600 --> 01:10:14,080
Speaker 1: In Europe, by contrast with this, research found is that

1284
01:10:14,120 --> 01:10:17,120
Speaker 1: if you divvy up the countries of you know, Germany

1285
01:10:17,160 --> 01:10:21,840
Speaker 1: and France in the UK by high and low poverty,

1286
01:10:22,240 --> 01:10:25,320
Speaker 1: the people who grow up and live in low poverty

1287
01:10:25,360 --> 01:10:28,360
Speaker 1: areas live about the exact same amount of time as

1288
01:10:28,360 --> 01:10:31,360
Speaker 1: those who live in the high poverty areas. Again, not

1289
01:10:31,439 --> 01:10:35,439
Speaker 1: only does the US have higher poverty than Europe, but

1290
01:10:35,600 --> 01:10:40,320
Speaker 1: also poverty impacts death more in the US than it

1291
01:10:40,400 --> 01:10:43,639
Speaker 1: does in Europe. So again back to the thesis statement,

1292
01:10:44,000 --> 01:10:49,599
Speaker 1: The big picture here is that equal egalitarian policies seem

1293
01:10:49,640 --> 01:10:52,799
Speaker 1: to be better for everyone when we think about life,

1294
01:10:52,840 --> 01:10:55,400
Speaker 1: and that really is what you know, modern welfare states

1295
01:10:55,400 --> 01:10:57,559
Speaker 1: should be about, or modern government should be about. How

1296
01:10:57,600 --> 01:11:00,799
Speaker 1: do we increase how do we keep our citizens alive?

1297
01:11:01,040 --> 01:11:03,320
Speaker 1: Europe seems to be much better at it, not just

1298
01:11:03,360 --> 01:11:05,840
Speaker 1: in COVID, but over the last thirty years. Well, and

1299
01:11:05,880 --> 01:11:09,599
Speaker 1: this is also interesting because it's not we're also not

1300
01:11:09,640 --> 01:11:12,200
Speaker 1: doing that well by our rich people, who aren't living

1301
01:11:12,240 --> 01:11:15,360
Speaker 1: as long as the rich people in Europe. So I

1302
01:11:15,400 --> 01:11:18,320
Speaker 1: also had this sort of assumption that, you know, you

1303
01:11:18,400 --> 01:11:22,120
Speaker 1: have this rich poor gap in terms of life expectancy,

1304
01:11:22,240 --> 01:11:24,760
Speaker 1: But surely are rich people because they have everything at

1305
01:11:24,800 --> 01:11:27,479
Speaker 1: their disposal and the best doctors are the best food

1306
01:11:27,560 --> 01:11:30,200
Speaker 1: and all of this stuff, surely they would be doing

1307
01:11:30,240 --> 01:11:33,519
Speaker 1: as well as their global counterparts. But that's actually not

1308
01:11:33,600 --> 01:11:36,680
Speaker 1: even the case. So what's going on there? Right, So

1309
01:11:36,720 --> 01:11:38,760
Speaker 1: what this mostly has to do with you know, one

1310
01:11:38,760 --> 01:11:40,839
Speaker 1: way you can sort of look at these mortality statistics,

1311
01:11:40,880 --> 01:11:42,559
Speaker 1: and I won't make this sort of two ganular is

1312
01:11:42,560 --> 01:11:44,120
Speaker 1: you can sort of break it up by age. Right.

1313
01:11:44,280 --> 01:11:47,360
Speaker 1: You can say, in the US versus Europe, are babies

1314
01:11:47,520 --> 01:11:50,280
Speaker 1: more or less likely to live to five, our teenagers

1315
01:11:50,320 --> 01:11:52,799
Speaker 1: more or less likely to live to twenty, are adults

1316
01:11:52,800 --> 01:11:55,160
Speaker 1: more or less likely to live to sixty five? And

1317
01:11:55,400 --> 01:12:01,400
Speaker 1: in all of those buckets, Europeans beat Americans, and Europeans

1318
01:12:01,720 --> 01:12:06,080
Speaker 1: be rich Americans. So the only advantage or equality of

1319
01:12:06,120 --> 01:12:08,320
Speaker 1: the US seems to have with Europe is that if

1320
01:12:08,360 --> 01:12:11,559
Speaker 1: you make it to seventy, then the outcomes for rich

1321
01:12:11,600 --> 01:12:13,519
Speaker 1: Americans seem to be basically the same as the outcomes

1322
01:12:13,520 --> 01:12:16,600
Speaker 1: for rich Europeans. But it's getting to seventy that is

1323
01:12:16,600 --> 01:12:19,040
Speaker 1: so much more equal. And you can throw in a

1324
01:12:19,080 --> 01:12:22,160
Speaker 1: bunch of stuff into our sort of explanatory jumbalaya. Right,

1325
01:12:22,240 --> 01:12:24,960
Speaker 1: we can say, well, you know, of course, Americans more

1326
01:12:25,000 --> 01:12:26,479
Speaker 1: likely to die of gun deaths because there are more

1327
01:12:26,520 --> 01:12:29,959
Speaker 1: guns in America. Americans more likely to die in traffic accidents,

1328
01:12:30,000 --> 01:12:32,920
Speaker 1: not because we have a higher fatality rate per mile driven,

1329
01:12:33,280 --> 01:12:36,639
Speaker 1: but because we drive more miles. There's just way more

1330
01:12:36,640 --> 01:12:39,360
Speaker 1: cars in America and way more driving from the suburbs.

1331
01:12:40,000 --> 01:12:42,559
Speaker 1: But you really, I think, need to look at the

1332
01:12:42,600 --> 01:12:45,200
Speaker 1: big picture of egalitarian policy to be able to explain

1333
01:12:45,320 --> 01:12:47,679
Speaker 1: all of this at once. There seems to be something

1334
01:12:47,760 --> 01:12:51,240
Speaker 1: very special about these sort of social democratic outlook on

1335
01:12:51,320 --> 01:12:54,720
Speaker 1: healthcare and poverty, such that it's not just that it

1336
01:12:54,800 --> 01:12:57,400
Speaker 1: helps the low income. In the middle income, it helps

1337
01:12:57,680 --> 01:13:00,920
Speaker 1: all of us. This is a policy which we all

1338
01:13:01,040 --> 01:13:04,799
Speaker 1: can win. How do you rule out cultural explanations, for example,

1339
01:13:05,000 --> 01:13:08,680
Speaker 1: like they eat differently, drink differently, you know, eat rich

1340
01:13:08,760 --> 01:13:12,200
Speaker 1: or poor. That kind of comes across the income gap.

1341
01:13:12,240 --> 01:13:15,080
Speaker 1: And more opioid deaths is another thing that we have

1342
01:13:15,160 --> 01:13:18,439
Speaker 1: to contend with. How do you arrive so confidently at

1343
01:13:18,479 --> 01:13:22,040
Speaker 1: the healthcare explanation and not a lot of these other things.

1344
01:13:22,120 --> 01:13:25,280
Speaker 1: Fantastic question. So you can't rule out these sort of

1345
01:13:25,720 --> 01:13:29,559
Speaker 1: hail differences if you only look at lower income Americans

1346
01:13:29,560 --> 01:13:32,639
Speaker 1: and Europeans where the differences are largest. Right, I'm not

1347
01:13:32,720 --> 01:13:34,639
Speaker 1: just saying that low income Americans are the only ones

1348
01:13:34,680 --> 01:13:37,240
Speaker 1: who eat young food. It's just that low income people

1349
01:13:37,240 --> 01:13:39,559
Speaker 1: around the world are more likely to consume certain kinds

1350
01:13:39,560 --> 01:13:41,599
Speaker 1: of food and have certain kinds of habits and what

1351
01:13:41,680 --> 01:13:46,240
Speaker 1: you see in But you can't necessarily make that same

1352
01:13:46,280 --> 01:13:49,120
Speaker 1: point about rich Americans and rich Europeans. Right. There are

1353
01:13:49,240 --> 01:13:53,880
Speaker 1: a lot of rich American health nuts in America, but overall,

1354
01:13:54,280 --> 01:13:57,639
Speaker 1: rich Americans in the lowest poverty areas do not live

1355
01:13:57,720 --> 01:14:01,200
Speaker 1: longer than rich Europeans the lowest poverty areas. And that

1356
01:14:01,280 --> 01:14:04,639
Speaker 1: suggests to me, because of the universality of these findings

1357
01:14:04,680 --> 01:14:11,360
Speaker 1: across ages and across income levels, that a national explanation

1358
01:14:11,720 --> 01:14:15,520
Speaker 1: at the government level is more likely than a behavioral explanation,

1359
01:14:15,760 --> 01:14:18,040
Speaker 1: which is more likely to be stratified by income. In

1360
01:14:18,040 --> 01:14:21,479
Speaker 1: the US, Derek, are other nations experiencing the same rise

1361
01:14:21,560 --> 01:14:26,439
Speaker 1: in death of despair as we are initially know? They

1362
01:14:26,439 --> 01:14:29,680
Speaker 1: were not? But my understanding is that as of more recently,

1363
01:14:30,720 --> 01:14:34,360
Speaker 1: opioid deaths seem to be rising in places like Western Europe,

1364
01:14:34,400 --> 01:14:36,479
Speaker 1: but nothing like they are in the US. To be

1365
01:14:36,520 --> 01:14:40,320
Speaker 1: totally honest, I'm not an expert on a sort of

1366
01:14:40,320 --> 01:14:44,240
Speaker 1: contemporary European changes in deaths of despair, for I don't

1367
01:14:44,240 --> 01:14:47,840
Speaker 1: want to go too far down that road. But I

1368
01:14:47,920 --> 01:14:51,040
Speaker 1: recall reading pretty confidently. Recall reading this is a trend

1369
01:14:51,040 --> 01:14:53,240
Speaker 1: that started in America, and like so many other things

1370
01:14:53,240 --> 01:14:57,200
Speaker 1: that start in America, seems to be mildly exported across

1371
01:14:57,200 --> 01:15:00,200
Speaker 1: the Atlantic. Well, look, a lot of lessons here are

1372
01:15:00,240 --> 01:15:02,280
Speaker 1: really where you are on the spatinating the rich part

1373
01:15:02,280 --> 01:15:04,920
Speaker 1: in particular, really drove it home to me. So thank you, Derek.

1374
01:15:05,120 --> 01:15:07,200
Speaker 1: Great piece. But we also understand you've got a book

1375
01:15:07,280 --> 01:15:10,320
Speaker 1: coming out, so could you tell us both The book

1376
01:15:10,360 --> 01:15:13,120
Speaker 1: is called title where people can pre order all of that,

1377
01:15:14,880 --> 01:15:16,880
Speaker 1: I'm certain and I think that was it. So I

1378
01:15:16,960 --> 01:15:19,759
Speaker 1: just went on book leave, okay, and I am writing

1379
01:15:19,800 --> 01:15:23,320
Speaker 1: a book about how to solve the world's biggest problems faster.

1380
01:15:23,920 --> 01:15:26,000
Speaker 1: I think it's going to be great, but it probably

1381
01:15:26,040 --> 01:15:28,680
Speaker 1: won't come out till twenty twenty three. Okay. So you

1382
01:15:28,720 --> 01:15:31,120
Speaker 1: know everyone just murked their calendar at the end of

1383
01:15:32,479 --> 01:15:35,120
Speaker 1: and I'm so excited you to buy my book. Awesome. Well,

1384
01:15:35,439 --> 01:15:37,240
Speaker 1: we can't wait to read it. It's going to be

1385
01:15:37,280 --> 01:15:39,880
Speaker 1: a long wait. Thanks Derek, Thanks Derek. Great to see

1386
01:15:39,880 --> 01:15:44,320
Speaker 1: you all right, everybody, Thank you so much for watching.

1387
01:15:44,320 --> 01:15:46,400
Speaker 1: We really appreciate it. If you guys could help us

1388
01:15:46,400 --> 01:15:50,040
Speaker 1: out become a premium subscriber today, link is down there. Description. Look,

1389
01:15:50,040 --> 01:15:52,920
Speaker 1: we don't often open up the curtain on this. But

1390
01:15:53,000 --> 01:15:56,360
Speaker 1: we were talking about this yesterday Crystal our segments on

1391
01:15:56,880 --> 01:16:00,599
Speaker 1: nine to eleven, Epstein lab leak a lot of this stuff.

1392
01:16:00,680 --> 01:16:05,840
Speaker 1: It gets completely demonetized, even on Elizabeth Holmes, Try Too

1393
01:16:06,200 --> 01:16:10,439
Speaker 1: Because or anything regarding me too times up, organization protecting Cuomo,

1394
01:16:10,600 --> 01:16:14,400
Speaker 1: like almost all of these topics are routinely getting to monitor. Yes,

1395
01:16:14,520 --> 01:16:17,240
Speaker 1: Like I want people to understand, here's the thing. We

1396
01:16:17,280 --> 01:16:20,560
Speaker 1: cover the news. The news is not always pretty. Vaccine

1397
01:16:20,840 --> 01:16:26,160
Speaker 1: booster shots, Fauci lab leak nine to eleven. I mean, like,

1398
01:16:26,479 --> 01:16:30,080
Speaker 1: you can't live in an environment where you're covering the

1399
01:16:30,120 --> 01:16:33,439
Speaker 1: news and you have to avoid certain topics. Now we

1400
01:16:33,479 --> 01:16:36,680
Speaker 1: are pledged absolutely we're never going to do that. You know,

1401
01:16:36,760 --> 01:16:39,280
Speaker 1: it will never impact our coverage. But this is the

1402
01:16:39,320 --> 01:16:41,880
Speaker 1: only way that we can support the production. So it

1403
01:16:42,000 --> 01:16:44,320
Speaker 1: means a lot. That's with the link down in the description,

1404
01:16:44,640 --> 01:16:46,920
Speaker 1: and obviously we try to give as much premium benefits.

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01:16:46,960 --> 01:16:48,599
Speaker 1: You know, you get the show a now early listen

1406
01:16:48,640 --> 01:16:50,800
Speaker 1: to it. All of that, but I want you who

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01:16:50,840 --> 01:16:53,080
Speaker 1: support us, and for those of you who watch the

1408
01:16:53,120 --> 01:16:56,320
Speaker 1: show just to understand, like what we have to deal

1409
01:16:56,360 --> 01:17:00,760
Speaker 1: with whenever it comes to really bringing you the information

1410
01:17:00,960 --> 01:17:04,479
Speaker 1: we think is the most important, because that is always

1411
01:17:04,520 --> 01:17:07,240
Speaker 1: what the chief goal of this program is going to be.

1412
01:17:07,439 --> 01:17:09,559
Speaker 1: And this is what it's like. You know, we're not

1413
01:17:09,720 --> 01:17:12,639
Speaker 1: bloggers out there like poland pranks. We have to cover

1414
01:17:12,800 --> 01:17:18,479
Speaker 1: serious stuff. Yeah, serious stuff apparently doesn't really fit controversial. Yeah,

1415
01:17:18,600 --> 01:17:22,960
Speaker 1: you guys, support means that when we see that demonetization

1416
01:17:23,080 --> 01:17:25,680
Speaker 1: is just like, eh, whatever, we'll be fine, you know,

1417
01:17:25,840 --> 01:17:28,680
Speaker 1: because that way, it doesn't even get into the back

1418
01:17:28,760 --> 01:17:30,720
Speaker 1: of your head about I don't know if we want

1419
01:17:30,720 --> 01:17:33,160
Speaker 1: to do this segment because we're human beings, And if

1420
01:17:33,200 --> 01:17:37,479
Speaker 1: your entire model and ability to continue was based on

1421
01:17:37,520 --> 01:17:40,120
Speaker 1: the YouTube revenue and whether or not the YouTube gods

1422
01:17:40,160 --> 01:17:42,599
Speaker 1: are going to let you monetize certain content or not,

1423
01:17:42,880 --> 01:17:45,160
Speaker 1: there's no doubt that that would have some impact and

1424
01:17:45,400 --> 01:17:49,560
Speaker 1: incentivize you to voiding topics. But just imagine the insanity

1425
01:17:49,920 --> 01:17:54,719
Speaker 1: of demonetizing every segment to do with nine to eleven.

1426
01:17:54,880 --> 01:17:57,160
Speaker 1: I know, what are we supposed to do the Saudi papers?

1427
01:17:57,200 --> 01:18:01,320
Speaker 1: Obviously we can't do anything like crazy. Your conspiratorial was

1428
01:18:01,360 --> 01:18:04,479
Speaker 1: just like, you know, remembering what happened, and here's some

1429
01:18:04,520 --> 01:18:08,200
Speaker 1: new information that was here's an AP article about a

1430
01:18:08,280 --> 01:18:11,640
Speaker 1: new document that's been released, but just having nine to

1431
01:18:11,680 --> 01:18:14,360
Speaker 1: eleven and the headline is enough for them to say no,

1432
01:18:14,479 --> 01:18:17,080
Speaker 1: we can't do that. So anyway, all a long way

1433
01:18:17,120 --> 01:18:19,840
Speaker 1: of saying that we're so grateful for you guys and

1434
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Speaker 1: the support that you've given us. If you're able to

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Speaker 1: sign up as a premium subscriber, it is really important

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Speaker 1: to just help us maintain our complete independence here. We

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Speaker 1: love you guys so much. Have a fantastic weekend, and

1438
01:18:31,200 --> 01:18:34,479
Speaker 1: we will see you. Wait a second, see you Thursday.

1439
01:18:34,600 --> 01:18:37,160
Speaker 1: I'm getting ahead of my fee out Thursday. I have

1440
01:18:37,160 --> 01:18:53,639
Speaker 1: a good one. Thanks for listening to the show, guys,

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01:18:53,640 --> 01:18:56,200
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