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

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

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

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

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

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Speaker 1: of dollars doing it to help support our mission of

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

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

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

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

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

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

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Speaker 1: What'll we have pristal? Indeed, we do lots of interesting

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Speaker 1: stories to get to you this morning. Lots of new

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Speaker 1: Biden pulling nut looking so good on literally any front

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Speaker 1: for him. Right now, we'll give you all the details there,

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Speaker 1: some movement on the reconciliation bills. Insight into the back

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Speaker 1: and forth with Mansion and Bernie, and he was in

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Speaker 1: Delaware this weekend and they are now floating maybe we

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Speaker 1: will do a billionaire attack. So we'll tell you about

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Speaker 1: all of that. Horrific tragedy on the scene of a

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Speaker 1: movie set where Alec Baldwin was filming this movie called Rust,

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Speaker 1: some horrific accident happened. He ends up discharging what was

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Speaker 1: supposed to be a weapon without any ammunition. Of course

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Speaker 1: around goes off, ends up killing cinematographer or injuring another individual.

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Speaker 1: There's some new details this morning that will bring you there.

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Speaker 1: Interesting moves from the FED on corruption, a story we've

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Speaker 1: been following closely. They are actually changing their rules pretty significantly.

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Speaker 1: We'll tell you about that. A new layer in the

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Speaker 1: back and forth between the CNN and Joe Rogan. Now

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Speaker 1: the Washington Post is moving is getting in on the story.

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Speaker 1: Kyle Condick will join us as well to talk about

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Speaker 1: why Obama was in Virginia trying to rescue Terry mccualiff.

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Speaker 1: But we did want to start with those new Biden

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Speaker 1: poll numbers. Yeah, some really interesting developments which are very

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Speaker 1: important in terms of conceiving of the Biden presidency. For

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Speaker 1: pretty much what last two years of American politics has

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Speaker 1: been ruled by COVID. How are you handling COVID the

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Speaker 1: economy being a second, Well, we are now seeing basically

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Speaker 1: a tie between the two. So let's put this up

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Speaker 1: there on the screen from CNBC. And there's a lot

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Speaker 1: to dig in here. As Josh Krashauwer points out, inflation

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Speaker 1: now ties with coronavirus as the biggest concern for Americans,

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Speaker 1: up sixteen points from the prior survey. Now, overall, Biden

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Speaker 1: actually saw his numbers drop by dropped to forty one

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Speaker 1: percent of public approval and critically crossed the majority fifty

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Speaker 1: two percent disapproval number. The other important thing there is

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Speaker 1: that you can see that economy and COVID are beginning

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Speaker 1: to become intertwined with the president. Now it's just fifty

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Speaker 1: percent with his COVID nineteen approval, And I think in general,

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Speaker 1: what you're seeing is that things are just beginning to

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Speaker 1: feel stagnant across the entire country. Chris are not somebody

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Speaker 1: I really respect. He's resumed his kind of tour of

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Speaker 1: the country and yeah, so he's going across talking to people.

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Speaker 1: And what he pointed out, and we've seen this consistently

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Speaker 1: in the data, is he's like, look, Biden at the

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Speaker 1: end of the day, was he was elected to bring

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Speaker 1: stuff back to normal, and it's not normal. And there's

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Speaker 1: a variety of reasons for that, supply chain crisis, inflation,

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Speaker 1: a price increase, COVID, the delta varat but in general,

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Speaker 1: people say, hey, man, you said you were going to

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Speaker 1: do something, and you just haven't done enough. And when

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Speaker 1: the president, you know, comes out maybe like once a

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Speaker 1: week and it's just not presenting any sort of real leadership,

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Speaker 1: I think that in general he's going to be getting

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Speaker 1: the blame for something which is already baked in without

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Speaker 1: any of the credit of seeming to actually do something.

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Speaker 1: You kind of see this over and over again, and

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Speaker 1: it was really evident Crystal in that town hall with

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Speaker 1: Anderson Cooper. A lot of bizarre moments, some of which

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Speaker 1: will cover, but the important one was he didn't really

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Speaker 1: seem to have a clue about what was actually going

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Speaker 1: on as to now what is what the number one

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Speaker 1: issue concerning Americans is, which is rising prices because of

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Speaker 1: the supply chain. Let's take a listen. I was able

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Speaker 1: to go to the private portion of all products coming

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Speaker 1: into the United States of America on the West coast,

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Speaker 1: go through Los Angeles, and I my id doing here.

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Speaker 1: It's a Long Beach, Long Beach, thank you, And I

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Speaker 1: know both the mayors. You probably know that Los Angeles

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Speaker 1: and yeah, Long Beach, California. It's I mean, right now, Crystal,

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Speaker 1: we are seeing more action on Twitter activism in terms

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Speaker 1: of changing the supply chain crisis. Then the United States government.

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Speaker 1: There was a Flexport CEO somebody who I also looked

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Speaker 1: to for analysis, who rented a boat and tweeted about

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Speaker 1: some of the backlogs and he ended up getting the

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Speaker 1: mayor of Long Beach in order to rescind like a

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Speaker 1: container stacking thing which was causing some backlog. So that

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Speaker 1: is kind of stunning to me. And I know you're

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Speaker 1: doing your monologue on the port workers as well. But

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Speaker 1: the government, the federal government is not doing all of

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Speaker 1: what it can and should be doing, and Americans are

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Speaker 1: taking notice and saying, hey, man, you need to be

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Speaker 1: doing something here. And it is. It's just it's difficult

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Speaker 1: to describe how well it is not going for him

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Speaker 1: in terms of where he started at the beginning of

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Speaker 1: his presidency. Yes, I think all of that is true,

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Speaker 1: and you know, it's kind of the backfiring of the

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Speaker 1: basement strategies. So when he was up against Trump, the

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Speaker 1: best thing he could do was kind of sit back

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Speaker 1: and let Trump hang himself. And that's exactly what happened.

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Speaker 1: Even though you know, Trump did everything he could and

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Speaker 1: still barely lost. Biden barely won the presidency by the

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Speaker 1: skin of his what do they say, skin of your

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Speaker 1: skin of your teeth, teeth, skin of your teeth. That

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Speaker 1: doesn't even make any sense anyway. So he wins the

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Speaker 1: presidency by the skin of his teeth from this basement strategy,

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Speaker 1: and he's sort of continued that strategy as president. And

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Speaker 1: that is not really what people want right now when

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Speaker 1: you have so much uncertainty. I mean, we're trying to

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Speaker 1: recover from coronavirus, the pandemic is still ongoing. People are

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Speaker 1: feeling unsafe, people are feeling there's you know, these tensions

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Speaker 1: around pandemic responses. All of that's going on. You have

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Speaker 1: a lot of economic chaos. You have some things that

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Speaker 1: are looking pretty good. Workers getting raises for the first

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Speaker 1: time in a long time, a tight labor market. We've

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Speaker 1: covered of course, the you know, the great resignation and

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Speaker 1: the labor strikes that are ongoing across the country, and

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Speaker 1: workers moving to form union. Some of that is good.

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Speaker 1: But then on the other hand, you have this supply

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Speaker 1: chain collapse. You haves rising so even workers who were

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Speaker 1: getting raises, they're not feeling it because inflation is going up.

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Speaker 1: And one of the things that they pointed to in

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Speaker 1: this poll, which I thought was really interesting, you now

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Speaker 1: have a plurality of the public that believes there will

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Speaker 1: be a recession in the next year. Wow, a plurality

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Speaker 1: of the public. So forty seven percent of the public

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Speaker 1: thinks we are headed into a recession. Rather than when

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Speaker 1: Biden came into office, people felt like, Okay, things are

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Speaker 1: going to get better, They're going to get back on track,

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Speaker 1: We're going to come back to whatever normal even means.

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Speaker 1: I think that's part of the issue is in some

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Speaker 1: ways promising a return to normal was like a nothing promise,

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Speaker 1: and in some ways it was a gigantic, unfulfillable promise

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Speaker 1: because what does that even mean to people to feel

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Speaker 1: like they're back to normal pre pandemic. I mean that

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Speaker 1: may not even really be possible given some of the

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Speaker 1: dramatic changes that happened in this country and around the

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Speaker 1: world as a result of the pandemic. But bottom line

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Speaker 1: is people are looking for leadership from Biden. They're not

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Speaker 1: really getting it. Even the things that they are doing,

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Speaker 1: like the you know, little moves they're trying to make

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Speaker 1: at the ports to make things move more efficiently. He

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Speaker 1: is either unable or unwilling to really get out and

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Speaker 1: sell these measures that are being taken. And then also

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Speaker 1: in this poll, the one bright spot was that the

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Speaker 1: reconciliation package, the Build Back Better Plan, it actually polls

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Speaker 1: really well. They're just not getting it done so and

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Speaker 1: I don't know how much juice they'll get from it anyway,

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Speaker 1: because at this point they've cut it back so much

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Speaker 1: that people are unlikely to really feel it and really

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Speaker 1: have you know, a positive experience of it. So it

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Speaker 1: just feels like another DC morass that isn't going to

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Speaker 1: really move the ball forward in a significant way. Yeah,

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Speaker 1: I think it's it's long been in Marass territory, and

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Speaker 1: especially I mean, look, some of the stuff in there,

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Speaker 1: These new billionaire taxes I think are good, and we

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Speaker 1: can cover that, and yeah, talk about extensively. But I

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Speaker 1: think the important point is that this is not just

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Speaker 1: some one off I mean, poll after poll after poll.

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Speaker 1: It's about the law of averages. Let's put the next

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Speaker 1: one up there. This is from Gallup, once again, pretty

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Speaker 1: row respected pollster. And what do you see there, which

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Speaker 1: is that even in polls, which again you should remember

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Speaker 1: that these dramatically overstated Biden's performance whenever it came to

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Speaker 1: the twenty twenty presidential election, are now finding him significantly

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Speaker 1: underwater with independent voters, and this has been the most

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Speaker 1: critical drop for the president. So in the Gallup poll alone,

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Speaker 1: Biden is down from sixty one percent in February to

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Speaker 1: thirty four percent at the nine month mark of his presidency,

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Speaker 1: with an overall approval rating of forty two percent. That is,

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Speaker 1: you know, an unequivocal disaster. And September really was a

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Speaker 1: big turning point. And I think I've been getting to

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Speaker 1: try and figure out why, which is that September was

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Speaker 1: both the height of kind of delta panic that was

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Speaker 1: where you know, people, whether you agree or not, vaccine

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Speaker 1: mandate or no. People were freaked out enough in order

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Speaker 1: to get mobilized on both sides because of Delta Afghanistan.

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Speaker 1: Obviously the media coverage as well. That's when this reconciliation

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Speaker 1: bill all got completely shot. It became very obvious by

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Speaker 1: mid September, you're like, oh, this thing is just a

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Speaker 1: nine and a a halfs. This is not going well. So

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Speaker 1: you have all three of these things culminating. Oh. Also

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Speaker 1: that is when we saw the single largest increase of

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Speaker 1: people quitting, but also the single largest increase in price.

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Speaker 1: So it's like and gas prices apparently in California are

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Speaker 1: like five dollars a gallon now, which is horrible, you

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Speaker 1: know for a lot of people who are working class. Wow,

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Speaker 1: I think if you put all that together, you are

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Speaker 1: making it so that it was the month alone, which

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Speaker 1: would sink him. And when you think about it, too,

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Speaker 1: it's not one thing you can just fix. There are

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Speaker 1: a multitude of problems that have all had a confluence

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Speaker 1: that have contributed to where they are right now. And

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Speaker 1: you know, the most important one We've mentioned it last time,

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Speaker 1: but this is very important, was the Grenelle Seltzer pole.

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Speaker 1: Let's put that up there. Came out last week again

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Speaker 1: in it showed a massive loss of support amongst independents

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Speaker 1: with concerns over economy, immigration, and coronavirus. The poll showed

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Speaker 1: just thirty seven percent of respondents approving of Biden's job.

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Speaker 1: Are you beginning to see a pattern here in the

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Speaker 1: thirty five to forty percent range, none of which you

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Speaker 1: would really want to be when you're president of the

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Speaker 1: United States. A bigger problem is that you can see

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Speaker 1: that in twenty twenty exit polling. So again, on the

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Speaker 1: day that Biden won the presidency, he won independent voters

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Speaker 1: by a fifty four to forty one percent margin. If

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Speaker 1: the election were held today, our poll would show former

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Speaker 1: president Trump winning that group forty five percent to twenty

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Speaker 1: eight So let that sink in fifty four percent on

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Speaker 1: election day to twenty eight percent today, So a near

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Speaker 1: halving of the independent support, which is obviously the group

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Speaker 1: that pushed him over the edge, either people who came

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Speaker 1: out to vote or people who switched, mostly married white

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Speaker 1: men from Trump to Biden. That is once again a

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Speaker 1: disaster for the current president, and you know, not good

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Speaker 1: for the midterm elections in particular. Yeah, I mean, I

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Speaker 1: think this is important because it's easy obviously to criticize

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Speaker 1: and to compare to like a theoretical, non existent politician

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Speaker 1: who would do a good job. But here they're actually

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Speaker 1: comparing to the dude that just left that we know

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Speaker 1: did a terrible job, and people are like, you know,

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Speaker 1: on second thought, I might go with that dude, that's

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Speaker 1: really really bad. It's a really bad sign. And as

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Speaker 1: you point out, all of these polls, even the best

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Speaker 1: among them, overstated Biden's support going into the election. So

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Speaker 1: however bad it looks for Biden in these polls, it's

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Speaker 1: likely a little bit worse than the what the pollsters

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Speaker 1: are able to gather, just because they've been really unable

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Speaker 1: to capture accurately the breadth of Republican sentiment and favorability

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Speaker 1: in the country over the past number of years. There

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Speaker 1: was one last piece here that I thought was kind

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Speaker 1: of interesting that shows it's not just obviously Republicans are

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Speaker 1: opposed to Biden. They're kind of locked in independence dramatic

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Speaker 1: shift away from Biden, but you also see some real

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Speaker 1: apathy among the Democratic base. And I thought that this

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Speaker 1: quote that sam Stein captured from a voter was pretty telling. Now,

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Speaker 1: this is about the idea that within the Reconciliation Bill,

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Speaker 1: which we're about to tell you a little bit more about,

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Speaker 1: that they're thinking of cutting the child tax credit means

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Speaker 1: testing it, only expanding it for a year. And what

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Speaker 1: this guy, Jake Wright, who's forty years old said, He says,

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Speaker 1: I've been a demcrat my entire adult life. But letting

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Speaker 1: a program expire or means testing it so that people

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Speaker 1: who will generally benefit from it will lose out on

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Speaker 1: much needed help infuriates me. It makes me wonder why

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Speaker 1: I bother supporting these people. So again, as we think

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Speaker 1: about moving into the midterms, as we think about what,

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Speaker 1: you know, the future power is going to look like

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Speaker 1: here in Washington, d C. One of the things that

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Speaker 1: we told you consistently is it really really matters who's energized,

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Speaker 1: not just you know, what's the overall approval rating and

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Speaker 1: how do people feel about the country. Those numbers are

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Speaker 1: already bad for Biden, but who's actually energized. And when

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Speaker 1: you have a sentiment like this where voters who are

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Speaker 1: lifelong Democrats are like, why do I bother with these people?

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Speaker 1: Like you've literally been promising me the prescription drug reform

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Speaker 1: things since two thousand and six. You've had complete control

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Speaker 1: of Washington several times during that period, and you still

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Speaker 1: haven't gotten it done. Like, what are we doing here?

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Speaker 1: Why am I bothering? That also is going to be

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Speaker 1: a massive drag on them. Some analysts are saying, I'm

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Speaker 1: not sure I buy this analysis, But is kind of

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Speaker 1: interesting that the Virginia race that's coming up, the goumernatorial

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Speaker 1: election that we're going to talk to Kyle Condick about today,

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Speaker 1: turns on Democrats being able to get something done in

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Speaker 1: Washington to kind of fire up their side and get

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Speaker 1: them to ultimately turn out. I'm not sure that I

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Speaker 1: really believe that. I think it's much more about who's

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Speaker 1: able to scare their base more. You know, does Terry

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Speaker 1: mccaulliff's pitch that Glenn Youngkin is basically electing Trump with

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Speaker 1: a mask on right? Or is youngkins pitch that Terry

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Speaker 1: mccaulliffe is some like, you know, race warrior who's gonna

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Speaker 1: force your kids to be segregated or whatever he's saying.

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Speaker 1: Is that the thing that ultimately wins the day. I

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Speaker 1: think it ultimately turns more on that. But overall, Democrats

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Speaker 1: cannot continue to promise a bunch of things that they

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Speaker 1: have no intention on ever delivering, and then be surprised

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Speaker 1: when people don't show out for them. So that's the

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Speaker 1: key point. You've got huge apathy amongst the Democratic base,

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Speaker 1: no real reason to try and come out. I mean,

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Speaker 1: it's twenty ten all over against the exact same thing.

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Speaker 1: Obama comes in, there's a big economic crisis, they pass

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Speaker 1: some middling stimulus package, that's the only thing. Then they

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Speaker 1: do this horror, you know, horrific monster of whatever Obamacare

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Speaker 1: actually turned out to be. Nobody really knew what it was.

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Speaker 1: All the Republicans have to do is promise I'm not Obama.

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Speaker 1: Massive swing in support. Dems were like, yeah, eh, this

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Speaker 1: doesn't seem that great. My wages continue to go down.

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Speaker 1: I still lost my job. The economy is still in

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Speaker 1: mild recession. I did get a new job, but it

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Speaker 1: pays me half of what it used to. Oh and

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Speaker 1: all the factories are shipping overseas, and what happens the

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Speaker 1: twenty ten red wave. I'm basically in this exact same scenario,

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Speaker 1: and it just seems very difficult now for Biden to

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Speaker 1: try and drag himself out of the hole. That being

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Speaker 1: said maybe Trump is stupid enough in order to make

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Speaker 1: maybe Trump is still so powerful. I have a motivator

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Speaker 1: to Democrats that it'll be enough. It's very possible, you

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Speaker 1: know that you can avoid some massive void. The real

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Speaker 1: test is going to be the Republican sorry, the test

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Speaker 1: here or in Virginia, because we are going to see

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Speaker 1: Terry mccauliffe has said nothing else but Glenn Youngkin is Trump.

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Speaker 1: If he wins, that's a very powerful validator for the

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Speaker 1: Trump strategy for Democrats. It could be enough in many

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Speaker 1: of these independent places. Personally, I'm banking that it's not

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Speaker 1: not necessarily in Virginia, but overall on the national level.

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Speaker 1: But who knows how many points it does count for

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Speaker 1: whenever Trump is off the ballot but still a boogeyman

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Speaker 1: to a lot of Democrats. Joe Biden won Virginia by

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Speaker 1: ten points. Yeah, it's a blue state, right, Okay. Democrats

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Speaker 1: control everything, they have both Senate seats, governor's mansion, House

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Speaker 1: of Delegates, state Senate. It should not be coming down

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Speaker 1: to the wire at all, and yet here we are.

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Speaker 1: And I think even if Terry mccalff is ultimately able

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Speaker 1: to hang on and edge ount Glenn Youngkin. It's a

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Speaker 1: very bad sign ultimately for where Democrats stand across the country.

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Speaker 1: Let's talk about one of the things that is contributing

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Speaker 1: to their woes here, which is that reconciliation, build a

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Speaker 1: build back better plan. I really wish I know I

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Speaker 1: say it every time, but I really wish they'd come

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Speaker 1: up with a better names. This is so terrible. Okay,

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Speaker 1: so here's the very latest. Let's throw this tweet up

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Speaker 1: on the screen that we have. So last week there

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Speaker 1: was a bunch of commentary and visuals that came out.

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Speaker 1: There was this meeting between Joe Manchin and Bernie Sanders.

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Speaker 1: Will now we're getting some of the behind the scenes

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Speaker 1: details of what went on in that meeting. This is

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Speaker 1: Lena Treene. She said with Axios. She says, Scoop, Joe

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Speaker 1: Manchin and Bernie Sanders squabbled behind closed doors Wednesday, with

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Speaker 1: Manchin using a raised fist goose egg to tell his

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Speaker 1: colleagues he can live without any of President Biden's social

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Speaker 1: spending plan. If you click through to that piece they

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Speaker 1: talk about, they talk to another witness who was there

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Speaker 1: Center Chris Coon's very close ally of Joe Biden, who

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Speaker 1: said quote. There was a vigorous ten minute discussion. Bernie

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Speaker 1: said six trillion. Manchin said we shouldn't do it at all.

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Speaker 1: Coons recalled himself making that goose egg symbol as he

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Speaker 1: recounted the conversation. He said Manchin indicated it will contribute

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Speaker 1: to inflation. We've already passed the American Rescue Plan. We

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Speaker 1: should just pass the infrastructure bill and you know, pause

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Speaker 1: for six months. So even though there were a lot

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Speaker 1: of sort of amicable noises that came out of this meeting,

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Speaker 1: the reality is that behind closed stores, they were incredibly

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Speaker 1: far apart. And I think I don't know that Mansion

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Speaker 1: is bluffing here. I mean, yes, he and Cinema and

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Speaker 1: some of the other bad actors and the Democratic Party,

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Speaker 1: they do want the infrastructure bill to pass. It is

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Speaker 1: something that their corporate donors would like to see. But

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Speaker 1: I'm just not sure that it's as much of a

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Speaker 1: deal breaker for them to not get that infrastructure bill

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Speaker 1: as progressives or ultimately hoping. I don't think Mansin is

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Speaker 1: totally bluffing here that he'd be comfortable with at the

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Speaker 1: end of the day nothing getting through. So that's kind

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Speaker 1: of where the impass is there's some more details coming

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Speaker 1: out on the tax front, and this is interesting. So here'sin.

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Speaker 1: Cinema said she didn't want to lift the marginal tax

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Speaker 1: rate on high income individuals or on corporations, so it

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Speaker 1: was kind of back to the drawing board for Democrats.

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Speaker 1: What's a twist in the story is that those rates

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Speaker 1: are a little bit irrelevant, especially for super high wealth individuals.

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Speaker 1: So we covered last week that cliff Asnis piece talking

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Speaker 1: about the working rates. Now listen, I'm not going to

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Speaker 1: cry any tears for people who are making half a

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Speaker 1: million dollars a year and see their taxes go up.

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Speaker 1: I'm perfectly fine with that. But it is true that

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Speaker 1: up to this point, the tax plan that was offered

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Speaker 1: from Biden really didn't hit billionaires or super high wealth

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Speaker 1: individuals at all. It did not go after any of

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Speaker 1: their pet loopholes that they used to avoid taxes over

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Speaker 1: their entire lives. So now with Cinema ruling out the

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Speaker 1: marginal rate increases, they're actually thinking of doing a form

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Speaker 1: of a billionaire tax. I'll give you a little bit

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Speaker 1: of the details of that in a minute. But here's

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Speaker 1: what Speaker Pelosi had to say to Jake Tapper on

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Speaker 1: that topic. Senator Cinema, who was a key Arizona Democrat

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Speaker 1: vote in the Senate. Senator Cinema has said she will

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Speaker 1: not support raising the corporate tax rate raising the tax

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Speaker 1: on high wage earners, and President Biden has acknowledged that

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Speaker 1: might mean you can't pay for the rest of the

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Speaker 1: bill using those sources of revenue. Do you have an

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Speaker 1: alternate way? Yeah, we do because we were ready to

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Speaker 1: pay for three point five so we certainly can pay

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Speaker 1: for one point half of that. And are what is

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Speaker 1: that alternate way? Is it a billionaire's tax? Is it

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Speaker 1: a well millionaires for corporation? Is should we say it

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Speaker 1: has an appeal, but it doesn't produce that much money.

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Speaker 1: It's because the bill is not written yet. We hope

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Speaker 1: it will be written today and introduced tomorrow. Only then

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Speaker 1: can the Joint Tax Committee evaluate what it brings in.

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Speaker 1: We anticipate two hundred, two hundred and fifty billion dollars,

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Speaker 1: but we need closer to to trillion dollars. So we

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Speaker 1: have other things such as well, such as we have

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Speaker 1: enforcement and that's several hundred billion dollars. We have the

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Speaker 1: overseas harmonization of taxes and that's a few hundred billion dollars.

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Speaker 1: We have an array. We have an array, and I'm

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Speaker 1: not going to say what they are right here. So

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Speaker 1: they've also talked about this sort of global minimum tax

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Speaker 1: for corporations, a minimum tax corporations have to pay regardless

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Speaker 1: of all the exemptions. Frankly, would be better than the

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Speaker 1: current corporate tax rate. Correct, And that would be better

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Speaker 1: than even lifting the top margin plas because another big

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Speaker 1: corporations pay that anyway, it's a farce. The specific proposal

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Speaker 1: under consideration and why because she says like, well, ultimately

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Speaker 1: it wouldn't raise that much revenue, which is a little

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Speaker 1: bit of a headscar You're like, wait a second, So

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Speaker 1: almost all the wealth is held by the top one percent,

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Speaker 1: but a tax on the top one percent is what

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Speaker 1: it is raise that much. But the reason why maybe

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Speaker 1: the taxes right well, and the reason why is because

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Speaker 1: when she says a billionaire tax, they literally mean it

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Speaker 1: would only apply to billionaires, which is like a thousand people.

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Speaker 1: So the proposal under consideration comes from round why it

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Speaker 1: would impose an annual tax on unrealized capital gains on

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Speaker 1: liquid assets held by billionaires. I think that liquid assets

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Speaker 1: part also probably is why it wouldn't ultimately raise that

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Speaker 1: much money. But it's only opposed to affect people with

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Speaker 1: a billion dollars in assets or one hundred million dollars

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Speaker 1: in income for three consecutive years, So it would only

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Speaker 1: apply to about a thousand people, and that liquid assets part,

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Speaker 1: I have a feeling, really limits what they're able to

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Speaker 1: do with it too. Still, at least you're doing thinking

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Speaker 1: about doing something that would impact the billionaire class. I'm

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Speaker 1: just trying to get my mind around how exactly you

431
00:23:20,840 --> 00:23:25,199
Speaker 1: can tax How are liquid assets already not being taxed? Right? So, like,

432
00:23:25,480 --> 00:23:29,920
Speaker 1: what's your definition of liquid because if it's cash, then

433
00:23:29,960 --> 00:23:32,200
Speaker 1: you have right, I've already had to pay a tax

434
00:23:32,280 --> 00:23:34,399
Speaker 1: exactly right. I'm just trying to figure out what a

435
00:23:34,440 --> 00:23:37,199
Speaker 1: liquid asset which is non taxable even looks like. But

436
00:23:37,240 --> 00:23:39,479
Speaker 1: maybe that's why I'm not a billionaire. So there, I'm

437
00:23:39,560 --> 00:23:42,800
Speaker 1: sure there is some Sure there's some shelter or something. Yes,

438
00:23:43,160 --> 00:23:45,960
Speaker 1: But yeah, look, it clearly doesn't go far enough if

439
00:23:46,119 --> 00:23:48,359
Speaker 1: in terms of what it would actually look like, and

440
00:23:48,440 --> 00:23:50,880
Speaker 1: even in terms of actually legally it also does get

441
00:23:50,920 --> 00:23:55,040
Speaker 1: sketchy in terms of taxing unrealized capital gains in terms

442
00:23:55,040 --> 00:23:58,400
Speaker 1: of stocks, equities, and more, because it's like, well, if

443
00:23:58,400 --> 00:24:01,280
Speaker 1: you haven't realized it, does that mean then that they

444
00:24:01,280 --> 00:24:03,720
Speaker 1: can write off all their losses, which I think you

445
00:24:03,800 --> 00:24:06,600
Speaker 1: can to a certain extent, but it can get very sketchy,

446
00:24:07,080 --> 00:24:09,199
Speaker 1: as I understand it legally whenever you're trying to do

447
00:24:09,280 --> 00:24:12,160
Speaker 1: that given fluctuations. Really, what it is is that they're

448
00:24:12,240 --> 00:24:15,600
Speaker 1: still not going after Crystal, the carried interest loophole or

449
00:24:15,600 --> 00:24:18,760
Speaker 1: the step up basis, those are the two most basic ones.

450
00:24:18,920 --> 00:24:21,520
Speaker 1: Carried interest loophole alone is like one hundred and eighty

451
00:24:21,560 --> 00:24:25,200
Speaker 1: billion over ten years. Easy, I've got your money, Nancy,

452
00:24:25,320 --> 00:24:27,560
Speaker 1: it's right there. Oh you just don't want to do it.

453
00:24:27,760 --> 00:24:30,640
Speaker 1: I heard a black business exactly creating Well, yeah, you're right,

454
00:24:31,040 --> 00:24:33,879
Speaker 1: that's what El Sharpton tells. A step up basis is

455
00:24:34,080 --> 00:24:37,080
Speaker 1: untold hundreds of billions if you wanted to go after

456
00:24:37,119 --> 00:24:39,400
Speaker 1: that one once again. I mean, I just they go

457
00:24:39,480 --> 00:24:43,359
Speaker 1: after all of these convoluted schemes, which are difficult to understand.

458
00:24:43,640 --> 00:24:47,000
Speaker 1: I'm beginning to see people, you know, online pushback of like, wait,

459
00:24:47,080 --> 00:24:49,080
Speaker 1: they can go after our you know, like my bigcoin

460
00:24:49,160 --> 00:24:50,560
Speaker 1: or whatever. It's like, no, you're not unless you're a

461
00:24:50,600 --> 00:24:53,080
Speaker 1: bitcoin billionaire. I think you're problem. You're going to be okay. Yeah,

462
00:24:53,119 --> 00:24:55,600
Speaker 1: It's like, unless you made one hundred million dollars in

463
00:24:55,680 --> 00:24:59,280
Speaker 1: assets for three consecutive years, or you're worth an entire

464
00:24:59,440 --> 00:25:02,119
Speaker 1: one BILLI you are not going to be affected by this.

465
00:25:02,480 --> 00:25:06,280
Speaker 1: But regardless, they make it very difficult in order to

466
00:25:06,600 --> 00:25:09,400
Speaker 1: understand how exactly it would work. How are people even

467
00:25:09,440 --> 00:25:11,920
Speaker 1: supposed to know what that means? You're actually not even

468
00:25:11,960 --> 00:25:14,560
Speaker 1: really going after the majority of the wealth. Whenever it

469
00:25:14,560 --> 00:25:17,680
Speaker 1: comes to what's actually happening here and the easiest ways

470
00:25:17,720 --> 00:25:20,360
Speaker 1: to do it, you've ruled out because of your corporate donors.

471
00:25:20,640 --> 00:25:23,359
Speaker 1: Why are we playing all these kabuki theater games like

472
00:25:23,520 --> 00:25:26,240
Speaker 1: it's easy to figure out? I don't know. I mean,

473
00:25:26,320 --> 00:25:29,320
Speaker 1: did you mention that mansion was in Delaware? Right? So

474
00:25:29,359 --> 00:25:31,560
Speaker 1: there was there was a great summit, a meeting of

475
00:25:31,600 --> 00:25:34,560
Speaker 1: the minds. I would love to be on that wall

476
00:25:34,720 --> 00:25:40,080
Speaker 1: Schumer mansion and Biden in Delaware over the weekend. But

477
00:25:40,560 --> 00:25:44,399
Speaker 1: I believe, yeah, they certainly, let's put their tear sheet

478
00:25:44,720 --> 00:25:49,399
Speaker 1: up there. So Joe Manchin was there down there in Delaware.

479
00:25:49,560 --> 00:25:52,639
Speaker 1: But in terms of a statement that came out afterwards,

480
00:25:52,680 --> 00:25:55,920
Speaker 1: it was basically just word salad they're like they've meant

481
00:25:56,359 --> 00:26:00,520
Speaker 1: there was some developments, and uh, that's pretty much it.

482
00:26:00,640 --> 00:26:04,639
Speaker 1: You know, Mansion appears agreeable in terms of the leaks

483
00:26:04,680 --> 00:26:07,080
Speaker 1: that were put out from there on board with the

484
00:26:07,119 --> 00:26:10,040
Speaker 1: White House proposal for that billionaire at tax that you

485
00:26:10,119 --> 00:26:13,440
Speaker 1: talked about, and certain corporations, I think certain being the

486
00:26:13,520 --> 00:26:15,600
Speaker 1: key one. I'm sure Cole's probably getting a carve out

487
00:26:15,600 --> 00:26:19,560
Speaker 1: there to help pay for President biden snoop plan. But

488
00:26:20,480 --> 00:26:23,439
Speaker 1: in general, nobody knows what's in this thing. Nobody knows

489
00:26:23,480 --> 00:26:25,720
Speaker 1: whether it would affect them. The social spending ones in

490
00:26:25,800 --> 00:26:27,480
Speaker 1: terms of Mansion and the title tax rud in that

491
00:26:27,600 --> 00:26:31,679
Speaker 1: have not been resolved whatsoever. We are again repeating the

492
00:26:31,680 --> 00:26:35,359
Speaker 1: Obamacare playbook. The truth is is that there's no way

493
00:26:35,400 --> 00:26:37,520
Speaker 1: anything is actually gonna happen. What in the next couple

494
00:26:37,560 --> 00:26:40,840
Speaker 1: of weeks. I highly doubt that in terms of the

495
00:26:40,880 --> 00:26:45,280
Speaker 1: actual negotiations. Then it's Thanksgiving, right, everybody's gone for a week. Yeah,

496
00:26:45,320 --> 00:26:48,080
Speaker 1: And then it's early December. Last time I checked. This

497
00:26:48,160 --> 00:26:50,840
Speaker 1: town starts to go on holiday. The Christmas parties in

498
00:26:50,920 --> 00:26:53,720
Speaker 1: DC start in December. Second, Just so everybody knows, well,

499
00:26:53,760 --> 00:26:57,040
Speaker 1: so let me tell you what they're saying. I wouldn't

500
00:26:57,040 --> 00:26:58,520
Speaker 1: put a lot of stock in this, but I'll just

501
00:26:58,520 --> 00:27:00,639
Speaker 1: tell you what they're saying. They want to come up

502
00:27:00,680 --> 00:27:04,720
Speaker 1: with a top line number this week Thursday, okay, And

503
00:27:05,560 --> 00:27:09,240
Speaker 1: they've sort of invented this deadline for themselves of like

504
00:27:09,320 --> 00:27:13,480
Speaker 1: the highway transportation funding expires something like that expires at

505
00:27:13,520 --> 00:27:14,840
Speaker 1: the end of the month. So they're saying, oh, no,

506
00:27:14,880 --> 00:27:17,080
Speaker 1: we got to figure this out before then, not to

507
00:27:17,080 --> 00:27:18,760
Speaker 1: get it pass, but at least get a top line

508
00:27:18,800 --> 00:27:23,119
Speaker 1: number in the outlines. That's what they're saying. The last

509
00:27:23,160 --> 00:27:27,280
Speaker 1: piece that just emerged over the weekend is that you know,

510
00:27:27,520 --> 00:27:31,560
Speaker 1: we already covered last week how what the paired back

511
00:27:31,840 --> 00:27:36,119
Speaker 1: proposal looks like. And it sucks, right, it already sucked.

512
00:27:36,200 --> 00:27:38,520
Speaker 1: There's very little like about it. The one thing that

513
00:27:38,560 --> 00:27:40,880
Speaker 1: you can really hang your hat on is universal pre K.

514
00:27:41,359 --> 00:27:44,639
Speaker 1: That would be good, but even the childcare provision with

515
00:27:44,760 --> 00:27:48,760
Speaker 1: like massively raised costs for the mode class. They took

516
00:27:48,840 --> 00:27:50,480
Speaker 1: the paid leave and they're like, instead of twelve weeks,

517
00:27:50,480 --> 00:27:54,240
Speaker 1: how about four. Well, now they're thinking of getting rid

518
00:27:54,280 --> 00:27:56,760
Speaker 1: of the paid leave altogether. And then the other thing

519
00:27:56,800 --> 00:27:58,800
Speaker 1: that Progresses were kind of hanging their hat on was

520
00:27:58,800 --> 00:28:00,800
Speaker 1: all right, well, we still on the money for the

521
00:28:00,840 --> 00:28:05,440
Speaker 1: Medicare expansion, so we'd get vision, hearing, and maybe dental.

522
00:28:05,640 --> 00:28:08,760
Speaker 1: Well now they're saying we may not do any of that.

523
00:28:09,280 --> 00:28:12,560
Speaker 1: Apparently the dental is the most expensive and the most

524
00:28:12,600 --> 00:28:16,120
Speaker 1: complicated to implement, so there were already some questions over

525
00:28:16,160 --> 00:28:18,600
Speaker 1: whether that would get put in, and now they're saying, well,

526
00:28:18,600 --> 00:28:20,160
Speaker 1: we may just strip out the hearing of the vision

527
00:28:20,200 --> 00:28:25,199
Speaker 1: as well. So it's I mean, what's left really is

528
00:28:25,200 --> 00:28:27,399
Speaker 1: pretty pathetic. I mean, that's just the bottom line is

529
00:28:27,400 --> 00:28:30,320
Speaker 1: pretty pathetic. We know the Climate Change provision, the central

530
00:28:30,600 --> 00:28:33,160
Speaker 1: core of that was stripped out because Mansion was opposed

531
00:28:33,200 --> 00:28:36,680
Speaker 1: to it. We know they ruled out the best ways

532
00:28:36,680 --> 00:28:41,400
Speaker 1: of going after the ultra wealthies tax dodges. We know

533
00:28:41,600 --> 00:28:45,240
Speaker 1: community college free community college, which Biden said was one

534
00:28:45,240 --> 00:28:48,040
Speaker 1: of his top priorities, they stripped that out and they're like,

535
00:28:48,080 --> 00:28:50,600
Speaker 1: we're gonna give you some scholarships instead, and it was

536
00:28:50,720 --> 00:28:53,640
Speaker 1: killed by the college industry. People don't understand that. Yeah,

537
00:28:53,760 --> 00:28:58,160
Speaker 1: that's really important. So I mean, after corporate lobbyists and

538
00:28:58,240 --> 00:29:02,240
Speaker 1: they're paid apparatics like Heidi hike Camp got their hands

539
00:29:02,280 --> 00:29:06,840
Speaker 1: on this thing, it is a tattered mess. If any

540
00:29:06,880 --> 00:29:09,280
Speaker 1: of it even passes at all, which, as I said

541
00:29:09,400 --> 00:29:12,520
Speaker 1: last week, if you are progressive, you should be committing

542
00:29:12,560 --> 00:29:15,560
Speaker 1: to committed to making sure that in its present form

543
00:29:15,720 --> 00:29:18,760
Speaker 1: it does not pass because it is not worth it.

544
00:29:18,880 --> 00:29:21,320
Speaker 1: No one will ever take you seriously Again, all of

545
00:29:21,320 --> 00:29:24,000
Speaker 1: your priorities have been gutted, and if you just roll over,

546
00:29:24,360 --> 00:29:26,960
Speaker 1: I don't know what you're doing. Well, unfortunately that could

547
00:29:27,000 --> 00:29:29,440
Speaker 1: be the reality. Hey, so remember how we told you

548
00:29:29,520 --> 00:29:32,600
Speaker 1: how awesome premium membership was. Well, here we are again

549
00:29:32,680 --> 00:29:35,200
Speaker 1: to remind you that becoming a premium member means you

550
00:29:35,280 --> 00:29:37,880
Speaker 1: don't have to listen to our constant please for you

551
00:29:38,000 --> 00:29:40,600
Speaker 1: to subscribe. So what are you waiting for? Become a

552
00:29:40,640 --> 00:29:43,600
Speaker 1: premium member today by going to Breakingpoints dot com, which

553
00:29:43,640 --> 00:29:46,240
Speaker 1: you can click on in the show notes. Let's go.

554
00:29:46,360 --> 00:29:48,160
Speaker 1: This is a really tragic story. And I know there's

555
00:29:48,160 --> 00:29:49,880
Speaker 1: a lot of jokes. I was at a comedy show

556
00:29:49,880 --> 00:29:51,040
Speaker 1: this weekend and there were a lot of jokes to

557
00:29:51,080 --> 00:29:53,560
Speaker 1: be had, but in terms of the actual details, it

558
00:29:53,640 --> 00:29:56,680
Speaker 1: is very, very sad. So Alec Baldwin, you know that

559
00:29:56,720 --> 00:29:58,400
Speaker 1: we know the actor. He was on the set of

560
00:29:58,400 --> 00:30:01,040
Speaker 1: a movie called Rust that they were fit down in

561
00:30:01,200 --> 00:30:04,760
Speaker 1: New Mexico. Now, during the course of that filming, Alec Baldwin,

562
00:30:04,880 --> 00:30:07,360
Speaker 1: what we know as of this morning, was pointing a

563
00:30:07,440 --> 00:30:10,640
Speaker 1: gun at the camera. He was rehearsing a scene in

564
00:30:10,680 --> 00:30:13,560
Speaker 1: which the actor points a gun directly at the camera.

565
00:30:13,880 --> 00:30:16,200
Speaker 1: Now during the course of pointing, and we don't know

566
00:30:16,200 --> 00:30:18,640
Speaker 1: if he fired it, if he had triggered discipline, whatever,

567
00:30:18,640 --> 00:30:22,320
Speaker 1: We have no idea. The gun unsurprisingly went off during

568
00:30:22,320 --> 00:30:26,760
Speaker 1: the course of that and it killed the director of cinematography,

569
00:30:26,560 --> 00:30:32,000
Speaker 1: Halnia Hutchins, and wounded another member of the crew. Now

570
00:30:32,280 --> 00:30:35,120
Speaker 1: there's been a lot and there should be now scrutiny

571
00:30:35,240 --> 00:30:38,080
Speaker 1: of what the hell was going on here. And one

572
00:30:38,120 --> 00:30:39,800
Speaker 1: of the key things that a lot of people are

573
00:30:39,800 --> 00:30:42,600
Speaker 1: taking a look at is that the film set had

574
00:30:42,760 --> 00:30:48,720
Speaker 1: previous accidental gun discharges. People on the crew express concerns.

575
00:30:48,800 --> 00:30:50,920
Speaker 1: Let's put this up from the New York Times over

576
00:30:51,080 --> 00:30:55,560
Speaker 1: gun mishaps and working conditions just days before the shooting.

577
00:30:56,520 --> 00:31:00,440
Speaker 1: So there were at least two accidental gun district charges

578
00:31:00,480 --> 00:31:04,320
Speaker 1: on that set days before that Alec Baldwin fatally shot

579
00:31:04,520 --> 00:31:09,080
Speaker 1: this cinematographer. The discharges occurred on October sixteenth, so like

580
00:31:09,200 --> 00:31:11,960
Speaker 1: nine days ago. The former crew members said, prompting a

581
00:31:12,000 --> 00:31:15,240
Speaker 1: complaint to a supervisor about the safety practices on the

582
00:31:15,240 --> 00:31:18,200
Speaker 1: set right outside of Santa Fe. The crew members asked

583
00:31:18,280 --> 00:31:20,480
Speaker 1: not to be named because of, you know, their future

584
00:31:20,520 --> 00:31:22,560
Speaker 1: employment in the industry. And I can't believe that they're

585
00:31:22,560 --> 00:31:25,840
Speaker 1: afraid about being retaliated against after they complained about, you know,

586
00:31:26,080 --> 00:31:31,360
Speaker 1: gun discharges which ended up killing somebody. But several workers

587
00:31:31,440 --> 00:31:36,520
Speaker 1: quit just hours before the fatal shooting over complaints about

588
00:31:36,640 --> 00:31:40,760
Speaker 1: unpaid work and working conditions on the production. Now remember

589
00:31:40,760 --> 00:31:43,440
Speaker 1: this also comes during the midst of there ended up

590
00:31:43,480 --> 00:31:46,480
Speaker 1: not being a strike but IATZI, which represented many of

591
00:31:46,480 --> 00:31:48,920
Speaker 1: the people who actually work in the film industry. They

592
00:31:48,920 --> 00:31:51,720
Speaker 1: had been saying that given the backlog of production, they

593
00:31:51,760 --> 00:31:54,840
Speaker 1: were working twelve sixteen hour days, being treated like garbage,

594
00:31:54,920 --> 00:31:57,320
Speaker 1: not even getting paid necessarily what they needed to by

595
00:31:57,360 --> 00:32:00,760
Speaker 1: people with streaming and all of that renegotia. I believe

596
00:32:01,000 --> 00:32:03,800
Speaker 1: some sort of interim deal and that's what they're working towards.

597
00:32:03,840 --> 00:32:07,720
Speaker 1: But this highlights the fact that on the movie industry

598
00:32:07,880 --> 00:32:12,160
Speaker 1: sets themselves, working conditions have been very sparse, and whenever

599
00:32:12,200 --> 00:32:15,000
Speaker 1: you have that and you make it really intense, then

600
00:32:15,120 --> 00:32:17,760
Speaker 1: accidents can slip through the cracks. And clearly this was

601
00:32:17,800 --> 00:32:21,280
Speaker 1: just a confluence of a terrible series of events. Now,

602
00:32:21,640 --> 00:32:24,440
Speaker 1: what we're really learning from most of this is from

603
00:32:24,520 --> 00:32:28,480
Speaker 1: affidavits which are being filed in New Mexico in terms

604
00:32:28,520 --> 00:32:31,040
Speaker 1: of search warrants. So let's put this up there and again,

605
00:32:31,080 --> 00:32:32,600
Speaker 1: this is what we know. According to the people who

606
00:32:32,600 --> 00:32:35,680
Speaker 1: are on the set and spoke under penalty of perjury

607
00:32:35,960 --> 00:32:39,640
Speaker 1: to the Sheriff's office there in Santa fe Alec, Baldwin

608
00:32:39,800 --> 00:32:43,560
Speaker 1: was told that the gun in the shooting was safe. Now,

609
00:32:43,600 --> 00:32:47,920
Speaker 1: according to the affidavit, they shouted cold gun, which is

610
00:32:47,960 --> 00:32:51,360
Speaker 1: supposed to indicate that a gun does not have any

611
00:32:51,520 --> 00:32:55,040
Speaker 1: live rounds in it. Now, when Baldwin fired the gun,

612
00:32:55,560 --> 00:32:59,479
Speaker 1: what happened is that they did not know live rounds

613
00:32:59,520 --> 00:33:02,840
Speaker 1: were in side the prop gun. But again, this also

614
00:33:03,360 --> 00:33:07,400
Speaker 1: raises a lot of questions from people who I've spoken

615
00:33:07,440 --> 00:33:09,840
Speaker 1: to who are gun safety experts and more, which is

616
00:33:09,840 --> 00:33:12,320
Speaker 1: that if this is a gun which is firing blanks, Now,

617
00:33:12,360 --> 00:33:15,800
Speaker 1: blanks have injured people in the past, but in general sets,

618
00:33:16,120 --> 00:33:18,640
Speaker 1: guns that are used on set which can't fire blanks

619
00:33:18,960 --> 00:33:23,000
Speaker 1: are not supposed to be able to even fire live ammunition.

620
00:33:23,360 --> 00:33:26,120
Speaker 1: So how did this gun get there in the first place.

621
00:33:26,440 --> 00:33:29,280
Speaker 1: And the second thing is that armorers who work with

622
00:33:29,400 --> 00:33:32,320
Speaker 1: movie productions. Crystal said that there should never have even

623
00:33:32,360 --> 00:33:35,920
Speaker 1: been a gun with live ammo there in the first place.

624
00:33:36,240 --> 00:33:39,240
Speaker 1: And you would presume also there were three guns that

625
00:33:39,280 --> 00:33:42,280
Speaker 1: are apparently kept outside on a table that the safety

626
00:33:42,360 --> 00:33:45,680
Speaker 1: people were checking both the chamber and whether the gun

627
00:33:45,720 --> 00:33:48,120
Speaker 1: had any ammo in in the first place. Yeah, there

628
00:33:48,120 --> 00:33:51,600
Speaker 1: should be I mean series of checks going on here

629
00:33:51,720 --> 00:33:53,360
Speaker 1: with the guns. I don't know a lot about guns,

630
00:33:53,480 --> 00:33:57,239
Speaker 1: especially used, especially after you had two accidental discharges, so

631
00:33:57,480 --> 00:34:01,520
Speaker 1: already what is happening so right? And another red flag

632
00:34:01,560 --> 00:34:05,080
Speaker 1: that they raised because within the industry, the use of guns,

633
00:34:05,120 --> 00:34:07,360
Speaker 1: the way you handle them, the safety protocols that you

634
00:34:07,440 --> 00:34:11,560
Speaker 1: have to go through are very stringent. You all may

635
00:34:11,640 --> 00:34:14,520
Speaker 1: recall back in the nineties Brandon Lee was killed by

636
00:34:15,280 --> 00:34:17,319
Speaker 1: there was actually a live round that was stuck in

637
00:34:17,360 --> 00:34:20,960
Speaker 1: the chamber on the film set of The Crow. And

638
00:34:21,040 --> 00:34:23,680
Speaker 1: I think especially after that, they really beefed up their

639
00:34:23,719 --> 00:34:26,880
Speaker 1: protocol to make sure that guns would be handled safely

640
00:34:27,360 --> 00:34:29,719
Speaker 1: when they're used in a filming production like this. And

641
00:34:29,760 --> 00:34:32,520
Speaker 1: another red flag, this is from that New York Times piece.

642
00:34:33,000 --> 00:34:35,799
Speaker 1: Six experts in the use of firearms on film or

643
00:34:35,800 --> 00:34:38,560
Speaker 1: television sets said it was very unusual, and it was

644
00:34:38,600 --> 00:34:42,600
Speaker 1: against protocol for an assistant director to hand the gun

645
00:34:42,600 --> 00:34:44,279
Speaker 1: to an actor. And that's what they're saying happened that

646
00:34:44,320 --> 00:34:48,440
Speaker 1: the assistant producer handed the gun to Baldwin said cold gun.

647
00:34:49,520 --> 00:34:54,920
Speaker 1: They say it should be the armorer who is on

648
00:34:55,040 --> 00:34:57,880
Speaker 1: the set that should be handling the weapons and in

649
00:34:57,960 --> 00:35:01,360
Speaker 1: charge of them from beginning to end. So even the

650
00:35:01,400 --> 00:35:04,000
Speaker 1: fact that it was the assistant producer who handed the

651
00:35:04,000 --> 00:35:09,160
Speaker 1: gun to Baldwin they described as a red flag. But yeah,

652
00:35:09,440 --> 00:35:13,280
Speaker 1: the fact that you had crew resigning, six crew members

653
00:35:13,400 --> 00:35:17,080
Speaker 1: quitting on that day tells you that this thing was

654
00:35:18,840 --> 00:35:21,560
Speaker 1: vastly unfairly. A lot of the concerns that they raised

655
00:35:21,560 --> 00:35:25,279
Speaker 1: are concerns that we heard about when IATSI was considering

656
00:35:25,320 --> 00:35:30,000
Speaker 1: when they authorized that strike as part of their contract negotiations.

657
00:35:30,320 --> 00:35:34,520
Speaker 1: Things like incredibly long days and then they're not being

658
00:35:34,560 --> 00:35:37,319
Speaker 1: booked hotel rooms. They're having to drive after this long day,

659
00:35:37,360 --> 00:35:40,239
Speaker 1: having to drive an hour back, I think, to Santa Fe.

660
00:35:40,880 --> 00:35:44,200
Speaker 1: And so you're exhausted, you're falling asleep on the road,

661
00:35:44,239 --> 00:35:48,000
Speaker 1: you're coming in tired, and guess what. When that is

662
00:35:48,080 --> 00:35:54,280
Speaker 1: the case, horrific mistakes can ultimately happen horrific accidents can happen,

663
00:35:54,480 --> 00:35:57,399
Speaker 1: so obviously we're still learning all the details here. One

664
00:35:57,400 --> 00:36:00,880
Speaker 1: of the things that is complicated as well is that

665
00:36:00,920 --> 00:36:03,440
Speaker 1: Baldwin is not only an actor, he's also a producer,

666
00:36:03,640 --> 00:36:06,360
Speaker 1: and so he's involved in the management and should have

667
00:36:06,440 --> 00:36:08,359
Speaker 1: been aware of the safety issues, he claims. If that's

668
00:36:08,400 --> 00:36:10,919
Speaker 1: not the case, yeah, And look, I don't know enough

669
00:36:10,920 --> 00:36:12,560
Speaker 1: about the film industry to know when you have a

670
00:36:12,640 --> 00:36:15,080
Speaker 1: high level actor like that, you just get a producer credit,

671
00:36:15,120 --> 00:36:17,440
Speaker 1: but you're not really involved in the you know, in

672
00:36:17,480 --> 00:36:18,840
Speaker 1: the management. So I think it has something to do

673
00:36:18,880 --> 00:36:22,040
Speaker 1: with the money distribution to and of course the you know,

674
00:36:22,120 --> 00:36:25,560
Speaker 1: the the producers do say that listen, we take safety

675
00:36:26,080 --> 00:36:29,680
Speaker 1: very seriously and we didn't know about these issues, et cetera,

676
00:36:29,760 --> 00:36:32,960
Speaker 1: et cetera. But clearly there was a lot going on

677
00:36:33,080 --> 00:36:36,520
Speaker 1: there and it was a low budget film and ended

678
00:36:36,560 --> 00:36:40,440
Speaker 1: an absolute disaster. That's really hard to fathom how this

679
00:36:40,520 --> 00:36:43,480
Speaker 1: ultimately occurred. Like you said, how did a gun with

680
00:36:43,560 --> 00:36:45,960
Speaker 1: a live round, like, why was that ever on the

681
00:36:46,040 --> 00:36:49,520
Speaker 1: set at all? How would that happen? Because there's no

682
00:36:50,239 --> 00:36:53,720
Speaker 1: there's no scenario on a film set where you would

683
00:36:53,719 --> 00:36:57,200
Speaker 1: have a real gun with the live round so why

684
00:36:57,360 --> 00:36:59,520
Speaker 1: was that ever there in the first place. It's just

685
00:36:59,600 --> 00:37:02,279
Speaker 1: hard to head around. Yeah, it really is. And you know,

686
00:37:02,440 --> 00:37:04,840
Speaker 1: the other thing here is that the way they describe

687
00:37:04,880 --> 00:37:08,759
Speaker 1: it is really unclear, which is that Alec Baldwin. Again,

688
00:37:08,800 --> 00:37:10,480
Speaker 1: this is per the New York Times, And in terms

689
00:37:10,480 --> 00:37:14,120
Speaker 1: of what they're saying happened, was pointing the gun at

690
00:37:14,120 --> 00:37:18,719
Speaker 1: the camera. Now, it doesn't say that he pulled the trigger, right,

691
00:37:18,840 --> 00:37:22,840
Speaker 1: It just says rehearsing a scene pointing a revolver toward

692
00:37:22,920 --> 00:37:26,880
Speaker 1: the camera lens when the gun suddenly went off. Now again,

693
00:37:27,160 --> 00:37:29,480
Speaker 1: you know it could be I mean, look, the most

694
00:37:29,560 --> 00:37:31,879
Speaker 1: likely scenarios he did pull he pulled the trigger. But yeah,

695
00:37:31,880 --> 00:37:33,920
Speaker 1: it also doesn't say that that's necessarily the case. And

696
00:37:34,000 --> 00:37:37,960
Speaker 1: you know, things have happened. It's possible, like you said previously,

697
00:37:38,080 --> 00:37:40,040
Speaker 1: it could be that there could have been you know,

698
00:37:40,160 --> 00:37:43,240
Speaker 1: live ammo that was like lodged inside the gun. But

699
00:37:43,320 --> 00:37:46,040
Speaker 1: really what we're learning is with the people who walked

700
00:37:46,040 --> 00:37:48,720
Speaker 1: off the set, six people had walked off the set. Yeah,

701
00:37:48,760 --> 00:37:53,960
Speaker 1: two accidental gun discharges. Already, the chain of custody of

702
00:37:54,000 --> 00:37:56,560
Speaker 1: the gun itself should have been handed by the armor

703
00:37:56,960 --> 00:38:00,160
Speaker 1: instead of the assistant director. There clearly was something going

704
00:38:00,239 --> 00:38:02,600
Speaker 1: on on the set, and in terms of who's really

705
00:38:02,640 --> 00:38:05,520
Speaker 1: responsible for what happened here, it seems to me that

706
00:38:05,560 --> 00:38:08,600
Speaker 1: whoever was in charge of checking those guns and the

707
00:38:08,600 --> 00:38:11,960
Speaker 1: safety protocols and more are ultimately the people responsible which

708
00:38:12,040 --> 00:38:14,799
Speaker 1: led to this terrible trap. Yeah and yeah, that's just

709
00:38:14,840 --> 00:38:17,920
Speaker 1: the case here. One last chilling detail is that the

710
00:38:17,960 --> 00:38:22,279
Speaker 1: movie is actually about an accidental killing, which is just

711
00:38:22,560 --> 00:38:26,280
Speaker 1: I mean, another horrible and like I said, chilling detail.

712
00:38:26,719 --> 00:38:30,440
Speaker 1: And with the crow when Brandon Lee was killed, that

713
00:38:30,560 --> 00:38:34,240
Speaker 1: movie is also about a death and someone who's murdered

714
00:38:34,280 --> 00:38:38,640
Speaker 1: then prices from the dead, so very very weird and

715
00:38:38,800 --> 00:38:43,160
Speaker 1: horrible circumstances. In terms of there's obviously an ongoing investigation

716
00:38:44,120 --> 00:38:48,640
Speaker 1: so far no charges filed, but you know that's not definitive.

717
00:38:48,760 --> 00:38:51,840
Speaker 1: You could imagine if there was some sort of reckless

718
00:38:51,880 --> 00:38:55,560
Speaker 1: criminal negligence, you could imagine potentially a manslaughter charge, but

719
00:38:55,640 --> 00:38:58,680
Speaker 1: we're a long way from that and the investigation is ongoing. Course,

720
00:38:58,719 --> 00:39:01,400
Speaker 1: Alec Baldwin and everyone else says that they are cooperating

721
00:39:01,400 --> 00:39:03,560
Speaker 1: with the authorities, so we'll keep you updated. There. There

722
00:39:03,560 --> 00:39:08,120
Speaker 1: you go. Another story we've been following closely, corruption in general,

723
00:39:08,360 --> 00:39:12,040
Speaker 1: and corruption at the FED in particular. So there were

724
00:39:12,120 --> 00:39:15,840
Speaker 1: three individuals who, during a time, you know, during the

725
00:39:15,840 --> 00:39:21,000
Speaker 1: coronavirus pandemic, when the FED was extraordinarily active, extraordinarily involved

726
00:39:21,160 --> 00:39:24,120
Speaker 1: in what ultimately asset prices ended up being for any

727
00:39:24,200 --> 00:39:27,280
Speaker 1: number of things, you had three members that were making

728
00:39:27,400 --> 00:39:34,520
Speaker 1: big moves in their own stock portfolio. Two FED presidents

729
00:39:35,400 --> 00:39:38,520
Speaker 1: ended up resigning over those trades. You had a guy

730
00:39:38,560 --> 00:39:41,800
Speaker 1: named Kaplan another one named Rosengren. Rosengren says he resigned

731
00:39:41,800 --> 00:39:46,160
Speaker 1: for health reasons, but both traded stocks. Kaplan in millions

732
00:39:46,200 --> 00:39:49,319
Speaker 1: of dollars in individual stocks. Rosengren traded in real estate

733
00:39:49,360 --> 00:39:53,240
Speaker 1: tide securities while he was warning about problems in that market.

734
00:39:53,520 --> 00:39:57,320
Speaker 1: So they both resigned. Then you had the fed's vice chair,

735
00:39:57,560 --> 00:40:02,239
Speaker 1: Richard Clarita, who said he would rebalancing his profile. He

736
00:40:02,360 --> 00:40:05,880
Speaker 1: shifted between one million and five million dollars from a

737
00:40:06,080 --> 00:40:10,680
Speaker 1: broad based bond fund into a broad based stock fund

738
00:40:11,080 --> 00:40:14,120
Speaker 1: and then lowing the hole. The stock market went way up,

739
00:40:14,160 --> 00:40:16,719
Speaker 1: which was very surprising because you know, we're in the

740
00:40:16,760 --> 00:40:19,960
Speaker 1: middle of this like total economic collapse. But anyway, so

741
00:40:20,040 --> 00:40:22,000
Speaker 1: this has led to a lot of, we'll just put

742
00:40:22,040 --> 00:40:26,560
Speaker 1: it nicely, questions about whether individuals associated with the FED

743
00:40:26,600 --> 00:40:30,280
Speaker 1: and very very important positions of power. We're using insider

744
00:40:30,360 --> 00:40:33,879
Speaker 1: knowledge for their own personal profit. Jome Pal had come

745
00:40:33,960 --> 00:40:37,560
Speaker 1: under a lot of fire for this incredible at least

746
00:40:37,600 --> 00:40:42,160
Speaker 1: appearance of corruption, and so now we actually have some

747
00:40:42,320 --> 00:40:47,240
Speaker 1: movement here. They've announced some new rules for the FED

748
00:40:47,760 --> 00:40:50,520
Speaker 1: about what they can do, what type of stocks and

749
00:40:50,560 --> 00:40:52,640
Speaker 1: bonds they can own. Let's go ahead and throw this

750
00:40:52,680 --> 00:40:55,359
Speaker 1: tear sheet up on the screen. So the Federal Reserve

751
00:40:55,400 --> 00:40:59,720
Speaker 1: announced Thursday a wide ranging ban on officials owning individual

752
00:40:59,760 --> 00:41:02,719
Speaker 1: stock and bonds and limits on other activities as well.

753
00:41:03,280 --> 00:41:05,960
Speaker 1: That includes top policy makers, those who sit on the

754
00:41:05,960 --> 00:41:10,000
Speaker 1: FED Open Market Committee, along with senior staff. Future investments

755
00:41:10,040 --> 00:41:13,080
Speaker 1: will have to be confined to diversified assets such as

756
00:41:13,160 --> 00:41:17,600
Speaker 1: mutual funds, so very sort of like broad based boring funds.

757
00:41:18,280 --> 00:41:20,640
Speaker 1: Under the new rules, officials will have to provide forty

758
00:41:20,640 --> 00:41:23,520
Speaker 1: five days notice in advance of buying or selling any securities,

759
00:41:23,560 --> 00:41:26,160
Speaker 1: even those ones that are still allowed. They're going to

760
00:41:26,160 --> 00:41:28,319
Speaker 1: be required to hold the securities for at least a year,

761
00:41:28,880 --> 00:41:31,960
Speaker 1: and they can't buy or sell funds during quote heightened

762
00:41:31,960 --> 00:41:35,880
Speaker 1: financial market stress. They also are going any current holdings

763
00:41:35,920 --> 00:41:39,160
Speaker 1: they have are going to have to be divested, though

764
00:41:39,160 --> 00:41:42,919
Speaker 1: no timetable has been announced. So those are the details here.

765
00:41:42,960 --> 00:41:45,720
Speaker 1: So they're actually pretty stringent. This is a great policy.

766
00:41:45,760 --> 00:41:48,840
Speaker 1: I Yet, they're actually pretty stringent. They're going to have

767
00:41:48,840 --> 00:41:50,759
Speaker 1: to get rid of what they have. They are going

768
00:41:50,840 --> 00:41:54,640
Speaker 1: to be incredible disclosure rules rules about you know, very

769
00:41:54,800 --> 00:41:57,000
Speaker 1: limited what you're going to be able to hold at all,

770
00:41:57,480 --> 00:41:58,719
Speaker 1: and you're going to have to hold it for at

771
00:41:58,760 --> 00:42:00,919
Speaker 1: least a year. They're going to be lockdown periods where

772
00:42:00,920 --> 00:42:04,360
Speaker 1: you can't do anything with it. I mean, the obvious

773
00:42:04,400 --> 00:42:06,759
Speaker 1: thing to say is number one, what took you so long?

774
00:42:07,280 --> 00:42:09,440
Speaker 1: And number two, when is Congress going to do the

775
00:42:09,440 --> 00:42:11,640
Speaker 1: same day, I was going to say, Okay, let's go,

776
00:42:11,920 --> 00:42:14,600
Speaker 1: let's do the whole government, let's do I know there

777
00:42:14,600 --> 00:42:18,040
Speaker 1: are some regulations in terms of federal appointees, but the President,

778
00:42:18,080 --> 00:42:21,880
Speaker 1: the vice President, and Congress they are all completely exempted

779
00:42:21,880 --> 00:42:24,480
Speaker 1: from this rule. Remember before the Stocks Act, they could

780
00:42:24,520 --> 00:42:27,239
Speaker 1: do whatever they wanted. Now they just have to tell

781
00:42:27,320 --> 00:42:30,000
Speaker 1: us what they do a couple of months later, and

782
00:42:30,040 --> 00:42:32,560
Speaker 1: they don't even have to really tell us exactly what's

783
00:42:32,560 --> 00:42:35,399
Speaker 1: going on there. Now. What I have noticed is that

784
00:42:35,719 --> 00:42:38,319
Speaker 1: what I'm really heartened by is there seems to be

785
00:42:38,440 --> 00:42:42,360
Speaker 1: a growing pop culture awareness of how much the system

786
00:42:42,440 --> 00:42:46,080
Speaker 1: is rigged. And when I saw this by Dave Portnoy,

787
00:42:46,360 --> 00:42:48,800
Speaker 1: it was particularly important because I know he has a

788
00:42:48,800 --> 00:42:51,480
Speaker 1: lot of connections to the retail traders, robinhood all that

789
00:42:51,520 --> 00:42:53,920
Speaker 1: he's pretty famous guy. And what you can see there

790
00:42:53,960 --> 00:42:57,200
Speaker 1: he said, quote you all, if you are an elected official,

791
00:42:57,480 --> 00:43:00,080
Speaker 1: you and spouse and children shouldn't be allowed to own

792
00:43:00,080 --> 00:43:04,200
Speaker 1: individual stocks period. He adds, you also shouldn't be able

793
00:43:04,239 --> 00:43:07,479
Speaker 1: to profit off your position during or after no books paid,

794
00:43:07,480 --> 00:43:10,400
Speaker 1: speaking gigs. We truly see who wants to help and

795
00:43:10,440 --> 00:43:14,920
Speaker 1: who wants to use political office for personal gain here now, yeah,

796
00:43:15,520 --> 00:43:19,439
Speaker 1: right behind you, Dave, and I put that together with

797
00:43:19,600 --> 00:43:21,640
Speaker 1: this story which really disturbed me, even though I do

798
00:43:21,680 --> 00:43:23,960
Speaker 1: think it is funny. From NPR. We brought it to

799
00:43:24,000 --> 00:43:25,640
Speaker 1: you a couple of weeks ago. Let's put it up

800
00:43:25,640 --> 00:43:28,080
Speaker 1: there on the screen, which is that there were TikTokers

801
00:43:28,320 --> 00:43:31,960
Speaker 1: who are trading stocks just by copying what members of

802
00:43:32,000 --> 00:43:35,640
Speaker 1: Congress do and so what they're like, look systems rigged.

803
00:43:35,880 --> 00:43:38,239
Speaker 1: Shout out to Nancy Pelosi. He's like, we'll just do

804
00:43:38,760 --> 00:43:42,080
Speaker 1: exactly what Nancy Pelosi is doing. She appears psychic. She's

805
00:43:42,120 --> 00:43:44,680
Speaker 1: the queen of investing, and apparently they've actually been doing

806
00:43:44,719 --> 00:43:48,120
Speaker 1: quite well a lot of these TikTokers. But again, here

807
00:43:48,200 --> 00:43:51,879
Speaker 1: you have two pieces of pop culture phenomena where there

808
00:43:51,960 --> 00:43:55,440
Speaker 1: is an awareness that it is bs that people who

809
00:43:55,520 --> 00:43:59,640
Speaker 1: are on the Federal Open Markets Committee who literally drive

810
00:43:59,760 --> 00:44:03,239
Speaker 1: mark gets and assets the people who are able to

811
00:44:03,320 --> 00:44:06,640
Speaker 1: buy and trade stocks, and even worse are the people

812
00:44:06,680 --> 00:44:09,839
Speaker 1: who are literally making the laws. I mean, if you

813
00:44:10,080 --> 00:44:11,960
Speaker 1: are the Speaker of the House and you actually know

814
00:44:12,040 --> 00:44:14,399
Speaker 1: which way one way or the other, like elder care

815
00:44:14,520 --> 00:44:16,840
Speaker 1: or something is going, you think, maybe, you know, you

816
00:44:16,880 --> 00:44:19,440
Speaker 1: wouldn't want to buy some nursing home, you know, stock

817
00:44:19,560 --> 00:44:22,320
Speaker 1: or some stock and some health There's a myriad different

818
00:44:22,360 --> 00:44:25,319
Speaker 1: ways in which policy affects the way markets. Even the

819
00:44:25,360 --> 00:44:28,279
Speaker 1: fact that they would not do a billionaire tax. Let's say,

820
00:44:28,320 --> 00:44:30,400
Speaker 1: if you knew that an hour before and you sold

821
00:44:30,440 --> 00:44:33,040
Speaker 1: stock even on the general like S and P. Five hundred,

822
00:44:33,080 --> 00:44:36,640
Speaker 1: you could make a killing. Yeah. These are endless, you know,

823
00:44:36,719 --> 00:44:39,400
Speaker 1: in terms of the conflicts of interest, because we focus

824
00:44:39,400 --> 00:44:41,879
Speaker 1: a lot on the speaker, and we should, but look,

825
00:44:42,040 --> 00:44:45,240
Speaker 1: every congressman has privilege, has access to non public information.

826
00:44:45,560 --> 00:44:47,839
Speaker 1: They all sit on committees if you sit on AG

827
00:44:47,920 --> 00:44:50,200
Speaker 1: you could you know, buy or sell agstock, defend some

828
00:44:50,239 --> 00:44:52,799
Speaker 1: I mean, who knows, you know, in terms of the contractors,

829
00:44:52,840 --> 00:44:54,920
Speaker 1: you know, in terms of all of that, whether you

830
00:44:55,000 --> 00:44:56,600
Speaker 1: know a bill is even going to pass or not,

831
00:44:56,680 --> 00:44:58,800
Speaker 1: or even a delay in funding is worth hundreds of

832
00:44:58,840 --> 00:45:01,560
Speaker 1: billions of dollars on the open stock market. So it

833
00:45:01,640 --> 00:45:05,759
Speaker 1: is just extraordinarily clear that the federules should go into

834
00:45:05,800 --> 00:45:10,279
Speaker 1: place for the entire elected like all elected officials. That's

835
00:45:10,320 --> 00:45:12,799
Speaker 1: the bare minimum, that's where we should start in terms

836
00:45:12,840 --> 00:45:15,680
Speaker 1: of stamping out the appearance of corruption. But we know

837
00:45:15,960 --> 00:45:19,000
Speaker 1: Congress will never actually do it to itself. Yes, very

838
00:45:19,120 --> 00:45:22,239
Speaker 1: very true. This has been so successful that they say

839
00:45:22,239 --> 00:45:25,520
Speaker 1: in that MPR piece at least one financial services consultant

840
00:45:25,960 --> 00:45:29,080
Speaker 1: is planning to set up a financial instrument that automatically

841
00:45:29,160 --> 00:45:33,839
Speaker 1: tracks congressional stock picks, because in his view, lawmakers are

842
00:45:33,880 --> 00:45:36,760
Speaker 1: probably priving to more information than just the general public.

843
00:45:37,560 --> 00:45:41,080
Speaker 1: We know, because Unusual Wales has run the data that

844
00:45:41,120 --> 00:45:45,160
Speaker 1: they are in fact outpacing the market significantly. They're you know,

845
00:45:45,280 --> 00:45:47,360
Speaker 1: some of the most brilliant traders, I guess in the

846
00:45:47,400 --> 00:45:52,960
Speaker 1: country right here in Congress. Incredible incredible minds, and the

847
00:45:53,040 --> 00:45:55,640
Speaker 1: other thing that's interesting though, is so you've got the

848
00:45:55,960 --> 00:45:59,840
Speaker 1: corruption piece, but also because people just assume it's corrupt,

849
00:46:01,080 --> 00:46:04,080
Speaker 1: they there's some analysis to suggest that they actually move

850
00:46:04,160 --> 00:46:07,080
Speaker 1: markets with their pick Oh I bet yeah, because you know,

851
00:46:08,520 --> 00:46:11,279
Speaker 1: TikTokers aren't the only ones who are looking at saying, oh,

852
00:46:11,320 --> 00:46:14,320
Speaker 1: what's what's Pelosi and her husband doing. I have a

853
00:46:14,360 --> 00:46:16,399
Speaker 1: feeling those are probably going to end up working out

854
00:46:16,440 --> 00:46:20,040
Speaker 1: pretty well. So it distorts the whole the whole thing.

855
00:46:20,080 --> 00:46:22,319
Speaker 1: But of course the biggest problem is the corruption. And so,

856
00:46:22,680 --> 00:46:27,200
Speaker 1: uh it is in one sense it is heartening to

857
00:46:27,239 --> 00:46:30,799
Speaker 1: see the pop culture understanding of this. In another sense,

858
00:46:30,840 --> 00:46:33,760
Speaker 1: it's really dark. It's sad, you know, it's really dark

859
00:46:33,800 --> 00:46:38,600
Speaker 1: that people just like assume, and you know, obviously I'm

860
00:46:38,640 --> 00:46:40,840
Speaker 1: with them, that these trades are being made based on

861
00:46:40,920 --> 00:46:44,800
Speaker 1: inside info. Like there's just an assumption that every aspect

862
00:46:44,840 --> 00:46:49,040
Speaker 1: of our government is completely and thoroughly corrupt, to the

863
00:46:49,040 --> 00:46:53,640
Speaker 1: point that people are making significant financial decisions banking on

864
00:46:54,160 --> 00:46:57,000
Speaker 1: the corruption of that system. Yeah, and that really kind

865
00:46:57,000 --> 00:46:58,640
Speaker 1: of tells you where we are right now. Yeah, And

866
00:46:58,680 --> 00:47:00,400
Speaker 1: I think that's the problem, which is that when it

867
00:47:00,400 --> 00:47:03,839
Speaker 1: becomes such an open secret and whenever it becomes you know,

868
00:47:04,080 --> 00:47:06,719
Speaker 1: a direct knowledge, and people are like, Okay, well, if

869
00:47:06,719 --> 00:47:08,640
Speaker 1: it's just rigged, then I'm just going to follow the rigging.

870
00:47:08,920 --> 00:47:11,440
Speaker 1: That's when you start to really have people who lose

871
00:47:11,480 --> 00:47:14,760
Speaker 1: faith in you know, the sanctity of government, the information

872
00:47:14,800 --> 00:47:18,040
Speaker 1: people are being told what exactly is going on. I'm

873
00:47:18,160 --> 00:47:20,840
Speaker 1: applaud the FED for actually doing this. It probably should

874
00:47:20,840 --> 00:47:23,239
Speaker 1: not have taken that long, but we need to put

875
00:47:23,280 --> 00:47:26,360
Speaker 1: this in place for everybody in government, and it actually

876
00:47:26,360 --> 00:47:29,680
Speaker 1: could have a pretty significant impact. Absolutely. I mean, my god,

877
00:47:29,760 --> 00:47:31,560
Speaker 1: these people are rich on yeah, most these people are

878
00:47:31,640 --> 00:47:35,799
Speaker 1: millionaires anyway, Nancy Pelosi is extraordinarily wealthy. She's like a

879
00:47:35,800 --> 00:47:38,000
Speaker 1: third or fourth richest member of Congress. She says she

880
00:47:38,080 --> 00:47:39,880
Speaker 1: has nothing to do with the stock pic. It's all

881
00:47:39,880 --> 00:47:42,680
Speaker 1: her husband, and she doesn't tell him anything. That's that's

882
00:47:42,719 --> 00:47:46,080
Speaker 1: her defense. But listen, you look at the overall numbers,

883
00:47:46,160 --> 00:47:48,560
Speaker 1: you see them out performing the market, and you know

884
00:47:48,600 --> 00:47:51,040
Speaker 1: what's going on. I mean, it doesn't take a genius

885
00:47:51,080 --> 00:47:55,000
Speaker 1: to figure this out. So it's disgusting and I honestly

886
00:47:55,040 --> 00:47:59,680
Speaker 1: think it is one of the most corrosive aspects of Washington, DC,

887
00:48:00,239 --> 00:48:03,720
Speaker 1: the way that they just out and out seek every

888
00:48:03,840 --> 00:48:08,000
Speaker 1: possible way pub to profit off of their positions of

889
00:48:08,360 --> 00:48:10,960
Speaker 1: quote unquote service, and not just the stock trading, but

890
00:48:11,000 --> 00:48:13,680
Speaker 1: also the cashing in after the fact. I mean, just

891
00:48:13,719 --> 00:48:17,000
Speaker 1: look at what Kirsen Cinema's doing right now. You know. Look,

892
00:48:17,080 --> 00:48:18,960
Speaker 1: I can't get inside her head and no one hundred

893
00:48:18,960 --> 00:48:21,880
Speaker 1: percent what she's thinking and why she's positioning herself the

894
00:48:21,880 --> 00:48:24,799
Speaker 1: way she is. All I know is that she ran

895
00:48:24,880 --> 00:48:27,640
Speaker 1: on lawing prescription drug prices and then Pharma threw her

896
00:48:27,640 --> 00:48:29,680
Speaker 1: a bunch of cash, and now she's on the other

897
00:48:29,719 --> 00:48:32,400
Speaker 1: side of that issue. That's what I know. All I

898
00:48:32,440 --> 00:48:35,480
Speaker 1: know is that people in her own state overwhelmingly support

899
00:48:35,480 --> 00:48:39,600
Speaker 1: provisions that she's now wildly opposed to. And it certainly

900
00:48:39,600 --> 00:48:41,880
Speaker 1: seems like she has her eye not just on campaign

901
00:48:41,920 --> 00:48:43,719
Speaker 1: cash in the present day, but on what she may

902
00:48:43,800 --> 00:48:46,120
Speaker 1: cash in and do after the fact. And I am

903
00:48:46,120 --> 00:48:49,359
Speaker 1: one hundred percent certain that she is not the only one.

904
00:48:49,520 --> 00:48:52,040
Speaker 1: This also, by the way, applies not just to elected officials,

905
00:48:52,080 --> 00:48:55,640
Speaker 1: but you see the revolving door with these agencies and

906
00:48:55,760 --> 00:48:59,440
Speaker 1: agency heads and prominently placed people who they walk right

907
00:48:59,480 --> 00:49:03,120
Speaker 1: out from the regulatory agency into the industry that they

908
00:49:03,120 --> 00:49:05,920
Speaker 1: were supposed to be regulating. Sometimes it goes back the

909
00:49:06,000 --> 00:49:09,239
Speaker 1: other way too, where you'll place people from the industry

910
00:49:09,680 --> 00:49:12,319
Speaker 1: in those agencies so that they've gotten end so that

911
00:49:12,360 --> 00:49:14,640
Speaker 1: they can get rules written that are favorable to them.

912
00:49:15,040 --> 00:49:20,120
Speaker 1: I mean, it is incredibly destructive to our society into

913
00:49:20,239 --> 00:49:23,799
Speaker 1: just an underlying faith that anyone is out for the

914
00:49:23,840 --> 00:49:26,239
Speaker 1: public good rather than out for their own payday. And

915
00:49:26,840 --> 00:49:28,920
Speaker 1: so kudos to the FED. Got to give them credit

916
00:49:29,000 --> 00:49:31,480
Speaker 1: for putting in what looked like some pretty stringent rules.

917
00:49:31,680 --> 00:49:33,400
Speaker 1: Will certainly be on the lookout for if there are

918
00:49:33,400 --> 00:49:36,000
Speaker 1: any big loopholes that they left it for them to exploit. Yeah,

919
00:49:36,040 --> 00:49:38,799
Speaker 1: that's right. Okay, let's move on our fun segment. I

920
00:49:38,840 --> 00:49:40,960
Speaker 1: know it's not the most important story in the world,

921
00:49:41,280 --> 00:49:43,200
Speaker 1: but there is a lot of interest. But when you

922
00:49:43,239 --> 00:49:45,759
Speaker 1: dig down to it, there still remains a lot to

923
00:49:45,800 --> 00:49:49,640
Speaker 1: be said around the fracas between Joe Rogan and CNN.

924
00:49:50,000 --> 00:49:52,759
Speaker 1: Of course, for those who are just it's a great

925
00:49:52,760 --> 00:49:55,640
Speaker 1: word for those who are just catching up in terms

926
00:49:55,680 --> 00:49:59,759
Speaker 1: of what all this means. So, Joe Rogan obviously got sick,

927
00:50:00,120 --> 00:50:02,880
Speaker 1: COVID took a variety of medicines, one of them was iverravectin.

928
00:50:03,200 --> 00:50:05,880
Speaker 1: CNN consistently said that he was taking horse sea warmer

929
00:50:06,160 --> 00:50:09,680
Speaker 1: Rogan then has CNN Sanjay Gupta on Sanjay Gupta says

930
00:50:09,719 --> 00:50:12,200
Speaker 1: that they should not have said that. Then Don Lemon

931
00:50:12,320 --> 00:50:15,960
Speaker 1: brings Sanjay Gupta on his air and publicly flogs him

932
00:50:15,960 --> 00:50:18,880
Speaker 1: and says, no, no no, no, actually, we did absolutely nothing wrong.

933
00:50:19,160 --> 00:50:22,680
Speaker 1: Rogan responds, Now we are at the point where CNN

934
00:50:22,920 --> 00:50:26,319
Speaker 1: is issuing another statement in which they say they have

935
00:50:26,440 --> 00:50:30,880
Speaker 1: done absolutely nothing wrong. Their statement is so clownish and

936
00:50:30,960 --> 00:50:34,000
Speaker 1: dumb that the Washington Post is calling them out for it.

937
00:50:34,280 --> 00:50:36,680
Speaker 1: So let's put this on the screen. Here's what CNN

938
00:50:36,719 --> 00:50:39,560
Speaker 1: has said in its latest defense of its coverage quote.

939
00:50:40,239 --> 00:50:42,719
Speaker 1: The heart of this debate has been purposely confused and

940
00:50:42,800 --> 00:50:46,120
Speaker 1: ultimately lost. It's never been about livestock versus human doses

941
00:50:46,160 --> 00:50:48,520
Speaker 1: of ivermectin. The issue is that a powerful voice in

942
00:50:48,560 --> 00:50:51,440
Speaker 1: media who, by example, through his platform, so doubt in

943
00:50:51,480 --> 00:50:54,640
Speaker 1: the proven and approved science of vaccines while promoting the

944
00:50:54,719 --> 00:50:57,520
Speaker 1: use of an unproven treatment for COVID nineteen a drug

945
00:50:57,520 --> 00:51:00,720
Speaker 1: development to ward off parasites in farm animals. The only

946
00:51:00,880 --> 00:51:05,319
Speaker 1: thing CNN did wrong here was bruise the ego of

947
00:51:05,360 --> 00:51:10,200
Speaker 1: a popular podcaster who pushed dangerous conspiracy theories and risk

948
00:51:10,280 --> 00:51:13,080
Speaker 1: the lives of millions of people in doing so. So

949
00:51:13,160 --> 00:51:17,960
Speaker 1: this is important. After CNN Sanjay Guptas said the should

950
00:51:17,960 --> 00:51:20,319
Speaker 1: not have said that. That network in which he is

951
00:51:20,400 --> 00:51:25,799
Speaker 1: the chief medical advisor and chief medical person, the scientists

952
00:51:26,280 --> 00:51:30,000
Speaker 1: you know, in house extraordinaire, has said openly we should

953
00:51:30,040 --> 00:51:33,120
Speaker 1: not have said. The network has now put out a

954
00:51:33,160 --> 00:51:37,680
Speaker 1: statement saying, not only did we do nothing wrong, that

955
00:51:37,920 --> 00:51:40,239
Speaker 1: Joe Rogan is full of it, and we stand by

956
00:51:40,600 --> 00:51:45,520
Speaker 1: our original comments. And they point two a number of

957
00:51:45,719 --> 00:51:49,080
Speaker 1: their transcripts where they characterized it, and they say they

958
00:51:49,080 --> 00:51:53,520
Speaker 1: did it completely fine. There is a pattern here in

959
00:51:53,640 --> 00:51:57,560
Speaker 1: terms of how CNN operates. They make an open and

960
00:51:57,600 --> 00:52:00,759
Speaker 1: blatant mistake, everybody knows it not a mistake. They make

961
00:52:00,800 --> 00:52:03,719
Speaker 1: an open and blatant, you know, propagandistic effort. Then they

962
00:52:03,719 --> 00:52:06,840
Speaker 1: get everybody knows what they did was wrong, their own

963
00:52:06,920 --> 00:52:10,240
Speaker 1: person says what they did was wrong, and then after

964
00:52:10,320 --> 00:52:13,120
Speaker 1: it gets turned up, they say, no, not we didn't

965
00:52:13,120 --> 00:52:16,399
Speaker 1: do anything wrong. We stand by it one percent. And

966
00:52:16,440 --> 00:52:18,919
Speaker 1: what I love here is that even the Washington Post

967
00:52:19,040 --> 00:52:21,640
Speaker 1: Eric Wemple, who is like by no means a conservative

968
00:52:21,719 --> 00:52:24,759
Speaker 1: or whatever, here's what he says. CNN's statement sounds more

969
00:52:24,800 --> 00:52:27,800
Speaker 1: like the work of an advocacy group than a journalist outfit.

970
00:52:28,239 --> 00:52:31,600
Speaker 1: The issue actually begins and ends with the integrity of

971
00:52:31,719 --> 00:52:36,120
Speaker 1: CNN's content. Yes, if we take Rogan's prescription claim at

972
00:52:36,160 --> 00:52:39,680
Speaker 1: face value and CNN has not challenged it, then the

973
00:52:39,760 --> 00:52:44,120
Speaker 1: network's coverage was slanted in some cases and straight up

974
00:52:44,320 --> 00:52:48,440
Speaker 1: incorrect in others. So in this instance, you don't have

975
00:52:48,480 --> 00:52:52,000
Speaker 1: to endorse Rogan to abhorse CNN's coverage of the topic.

976
00:52:52,360 --> 00:52:55,640
Speaker 1: Here's a network, after all, that prides itself on impeccable

977
00:52:55,920 --> 00:52:59,919
Speaker 1: factual hygiene, a place where there's no conceptual hair to find,

978
00:53:00,080 --> 00:53:03,160
Speaker 1: to split, no political statement, to sprawling, to fly speck

979
00:53:03,640 --> 00:53:05,799
Speaker 1: flies beck, great word, I'm gonna see it. It's just

980
00:53:05,880 --> 00:53:09,160
Speaker 1: tough living by your own standards. If CNN wants to

981
00:53:09,200 --> 00:53:11,920
Speaker 1: describe by vermectin in a way that doesn't slime the

982
00:53:11,960 --> 00:53:14,920
Speaker 1: people who take it, the Guardian provides a fine template.

983
00:53:15,160 --> 00:53:19,759
Speaker 1: A drug used against parasites in humans and livestocks, thank you.

984
00:53:20,120 --> 00:53:22,640
Speaker 1: That's all they ever had to say. Even that, I

985
00:53:22,680 --> 00:53:25,720
Speaker 1: take a little bit of issue with because like lots

986
00:53:25,719 --> 00:53:28,759
Speaker 1: of drugs that humans can sruve for dual use, you

987
00:53:29,120 --> 00:53:33,200
Speaker 1: also have a veterinarian use. My dog was just prescribed

988
00:53:33,320 --> 00:53:35,960
Speaker 1: valium after she had a surgery. Are you going to

989
00:53:36,040 --> 00:53:39,280
Speaker 1: describe valium as a drug that humans use but also

990
00:53:39,360 --> 00:53:44,880
Speaker 1: dogs's HeartWare medicine is actually so I mean even that,

991
00:53:45,080 --> 00:53:48,320
Speaker 1: But yes, Wemple does obviously he sorts through these issues

992
00:53:48,320 --> 00:53:51,479
Speaker 1: in a much more clear headed way than CNN ultimately does,

993
00:53:52,000 --> 00:53:55,200
Speaker 1: because what is he getting at here? Ultimately? Joe Rogan

994
00:53:55,320 --> 00:53:58,880
Speaker 1: is a podcaster, Okay, he is a very popular podcast host.

995
00:53:59,239 --> 00:54:04,920
Speaker 1: Y'all are tending to be straight, fact based journalists. You

996
00:54:04,960 --> 00:54:09,200
Speaker 1: are holding Joe Rogan to a much higher standard than

997
00:54:09,239 --> 00:54:14,400
Speaker 1: you are holding yourselves. You are expecting absolutely no accountability

998
00:54:14,440 --> 00:54:17,960
Speaker 1: and accuracy and like sticking to the facts with your

999
00:54:17,960 --> 00:54:21,440
Speaker 1: own journalists. And what Wemple does is he went through

1000
00:54:22,080 --> 00:54:27,600
Speaker 1: any number of instances everybody from Anderson Cooper saying that

1001
00:54:27,719 --> 00:54:31,760
Speaker 1: ivermectin is more often used to deworm horses. Don Lemon

1002
00:54:31,840 --> 00:54:35,680
Speaker 1: of course, saying that he's taking that Rogan is taking

1003
00:54:35,680 --> 00:54:39,279
Speaker 1: a drug meant for deworming livestock. Bacari Sellers he's a

1004
00:54:39,360 --> 00:54:44,600
Speaker 1: commentator saying something similar Jim Acosta. I mean, time after

1005
00:54:44,680 --> 00:54:49,000
Speaker 1: time after time they frame it in the same incorrect way.

1006
00:54:49,400 --> 00:54:52,840
Speaker 1: And let me say again, at best iv remectin is

1007
00:54:52,920 --> 00:54:56,520
Speaker 1: unproven to treat COVID. At worst, it doesn't work at all.

1008
00:54:56,560 --> 00:54:59,239
Speaker 1: And of course there are people who because there's a

1009
00:54:59,239 --> 00:55:02,080
Speaker 1: shortage vibe and heaven, buying it from a livestock store.

1010
00:55:02,120 --> 00:55:04,880
Speaker 1: That is really dangerous and you should not do that.

1011
00:55:04,880 --> 00:55:07,239
Speaker 1: That is not what Joe Rogan did. And if you

1012
00:55:07,280 --> 00:55:10,920
Speaker 1: aren't saying that, then you are lying. It is really

1013
00:55:10,920 --> 00:55:13,200
Speaker 1: that simple. It's not a hard one to figure out

1014
00:55:13,520 --> 00:55:17,920
Speaker 1: the fact that they were so unequivocal and so like feisty.

1015
00:55:18,160 --> 00:55:21,040
Speaker 1: That's what gets me in their statement is really something.

1016
00:55:21,120 --> 00:55:24,440
Speaker 1: And if you're Sanjay Gupta, what's he saying about this?

1017
00:55:24,560 --> 00:55:26,719
Speaker 1: They just screwed. I mean they basically just had say,

1018
00:55:26,760 --> 00:55:29,680
Speaker 1: asanj screw you. What you spoke out of turn? You know,

1019
00:55:29,760 --> 00:55:33,640
Speaker 1: come BacT, cut him off at the knees, demandity, come on,

1020
00:55:33,800 --> 00:55:35,600
Speaker 1: and you know, have his little like you called it

1021
00:55:35,640 --> 00:55:39,279
Speaker 1: a struggle session with Don Levin. Then put out this

1022
00:55:39,360 --> 00:55:44,319
Speaker 1: statement saying, no, no, what our chief medical correspondent, the

1023
00:55:44,360 --> 00:55:48,600
Speaker 1: guy who we look to to to provide medical advice,

1024
00:55:48,880 --> 00:55:52,160
Speaker 1: That guy's wrong. Listen to us in our PR department.

1025
00:55:52,520 --> 00:55:55,920
Speaker 1: That's really something. Oh it's something. And again, why are

1026
00:55:55,960 --> 00:55:58,560
Speaker 1: we even covering this and everyone. You know, there's a

1027
00:55:58,560 --> 00:56:02,200
Speaker 1: lot of discussion, Oh, you know, this is just media beef.

1028
00:56:02,320 --> 00:56:05,959
Speaker 1: It's actually not because Joe got to the very core

1029
00:56:06,000 --> 00:56:08,520
Speaker 1: of it. Whenever he was talking with Sanjay, he was like,

1030
00:56:08,560 --> 00:56:11,080
Speaker 1: do you understand how when you lie about you know

1031
00:56:11,160 --> 00:56:14,560
Speaker 1: what he calls like some shithead comedian and some medicine

1032
00:56:14,719 --> 00:56:18,160
Speaker 1: that he takes that people aren't going to say and say, hey,

1033
00:56:18,200 --> 00:56:20,799
Speaker 1: I don't trust your reporting now on Syria, or I

1034
00:56:20,800 --> 00:56:23,799
Speaker 1: don't trust your reporting now on Hunter Biden, And you

1035
00:56:23,800 --> 00:56:26,600
Speaker 1: shouldn't actually on either of those subjects. But it's a

1036
00:56:26,640 --> 00:56:30,840
Speaker 1: good point as to whenever you see them lie about something,

1037
00:56:31,320 --> 00:56:33,959
Speaker 1: then defend the lie and now go through this whole

1038
00:56:33,960 --> 00:56:36,759
Speaker 1: public process of it and continue to stick by it.

1039
00:56:37,160 --> 00:56:41,440
Speaker 1: How can you have confidence in the other facts that

1040
00:56:41,440 --> 00:56:43,479
Speaker 1: they are telling you? You know, I'm about to cover

1041
00:56:43,680 --> 00:56:46,720
Speaker 1: the lab leak in my monologue. But CNN's Brianna Keeler,

1042
00:56:46,760 --> 00:56:50,399
Speaker 1: who is now there like in House Cringebot recently put

1043
00:56:50,440 --> 00:56:52,720
Speaker 1: out like a whole thread on why she wasn't wrong

1044
00:56:52,760 --> 00:56:55,560
Speaker 1: whenever she made fun of rand Paul, because she's like,

1045
00:56:55,960 --> 00:56:59,000
Speaker 1: scientists should face questions, but rand Paul is not the

1046
00:56:59,040 --> 00:57:01,440
Speaker 1: person to ask those questions. I'm like, yeah, you're right,

1047
00:57:01,680 --> 00:57:04,319
Speaker 1: you are. And yet how many times has faut she

1048
00:57:04,400 --> 00:57:07,120
Speaker 1: been on your network or even on your show? Have

1049
00:57:07,239 --> 00:57:09,760
Speaker 1: you ever asked him one question about gain of function research?

1050
00:57:10,040 --> 00:57:12,120
Speaker 1: Will you ever ask him one question about gain and

1051
00:57:12,160 --> 00:57:15,520
Speaker 1: function research? We all know that's that she never will.

1052
00:57:15,760 --> 00:57:18,760
Speaker 1: So it's just a complete farce in terms of the

1053
00:57:18,760 --> 00:57:21,680
Speaker 1: way that they conduct themselves and the stuff that they

1054
00:57:21,720 --> 00:57:23,560
Speaker 1: say that they'll try to get to the bottom of

1055
00:57:24,280 --> 00:57:26,720
Speaker 1: at CNN, Bernie, thing that we covered this week, Yeah,

1056
00:57:26,760 --> 00:57:29,919
Speaker 1: that's the same thing. It's over and over again. Right,

1057
00:57:30,120 --> 00:57:33,440
Speaker 1: It's like they can do absolutely no wrong. It's actually

1058
00:57:33,440 --> 00:57:36,040
Speaker 1: the job, you know, the it's the fault of everybody

1059
00:57:36,040 --> 00:57:38,640
Speaker 1: else involved. You know, screw you. Actually we're you know,

1060
00:57:38,880 --> 00:57:42,720
Speaker 1: we're absolutely perfect. And also you know, our declining ratings

1061
00:57:42,720 --> 00:57:45,320
Speaker 1: have nothing to do with it. Her tweet to Bernie Sanders, Right,

1062
00:57:45,440 --> 00:57:48,600
Speaker 1: it's blamed the media a clock, and Bernie Sanders is

1063
00:57:48,720 --> 00:57:51,840
Speaker 1: right on time. And then of course when you actually

1064
00:57:51,840 --> 00:57:55,000
Speaker 1: go through the data, Bernie was one hundred percent correct

1065
00:57:55,040 --> 00:57:57,720
Speaker 1: and they were one hundred percent incorrect, just as they

1066
00:57:57,720 --> 00:57:59,960
Speaker 1: are in this instance. You might be noticing and consistent

1067
00:58:00,040 --> 00:58:02,800
Speaker 1: pattern here in house cringebot, let's get that trending. Wow,

1068
00:58:02,920 --> 00:58:04,960
Speaker 1: you guys must really like listening to our voices. While

1069
00:58:04,960 --> 00:58:07,000
Speaker 1: I know this is annoying, instead of making you listen

1070
00:58:07,000 --> 00:58:09,520
Speaker 1: to a Viagra commercial. When you're done, check out the

1071
00:58:09,560 --> 00:58:12,320
Speaker 1: other podcast I do with Marshall Kasloff called The Realignment.

1072
00:58:12,360 --> 00:58:14,400
Speaker 1: We talk a lot about the deeper issues that are

1073
00:58:14,440 --> 00:58:17,880
Speaker 1: changing realigning in American society. You always need more Crystal

1074
00:58:17,880 --> 00:58:21,120
Speaker 1: and zagour in your daily lives. Take care, guys, All right, Zager,

1075
00:58:21,160 --> 00:58:22,680
Speaker 1: what do you look at it? We've been talking about

1076
00:58:22,680 --> 00:58:24,440
Speaker 1: the Iraq War a lot here on the show lately,

1077
00:58:24,560 --> 00:58:27,080
Speaker 1: not just to relive the horror, but to remind you

1078
00:58:27,200 --> 00:58:30,400
Speaker 1: of how the media, the intelligence community, the government, all

1079
00:58:30,480 --> 00:58:33,440
Speaker 1: elite networks of power tasked with protecting us and informing

1080
00:58:33,520 --> 00:58:36,960
Speaker 1: us actually sold us out instead for a terrible war. Now,

1081
00:58:37,000 --> 00:58:40,480
Speaker 1: most importantly, we discuss it because the mechanisms through which

1082
00:58:40,520 --> 00:58:44,000
Speaker 1: that war were sold keep repeating in our elite culture

1083
00:58:44,160 --> 00:58:47,600
Speaker 1: again and again and again. The worst part is not

1084
00:58:47,720 --> 00:58:50,040
Speaker 1: that it was an accident, but that it appears now

1085
00:58:50,080 --> 00:58:52,840
Speaker 1: by design that the media and the people in power

1086
00:58:52,920 --> 00:58:56,120
Speaker 1: latch onto the stories of near complete fantasy and use

1087
00:58:56,200 --> 00:58:59,960
Speaker 1: their relative monopoly on cultural power in America to gaslight

1088
00:59:00,200 --> 00:59:03,240
Speaker 1: tens of millions of people from the truth. We saw

1089
00:59:03,400 --> 00:59:06,880
Speaker 1: Iraq WMD level screw ups in Russiagate. I didn't think

1090
00:59:06,920 --> 00:59:08,920
Speaker 1: I'd be lucky enough to see two of those in

1091
00:59:08,920 --> 00:59:11,919
Speaker 1: my lifetime now, let alone three, because it only took

1092
00:59:11,960 --> 00:59:14,880
Speaker 1: two years after Russiagate for the next one to arrive,

1093
00:59:15,080 --> 00:59:18,240
Speaker 1: And that is the lab Leak hypothesis. In many ways,

1094
00:59:18,280 --> 00:59:20,760
Speaker 1: the lab Leak developments are worse than Iraq on a

1095
00:59:20,800 --> 00:59:24,200
Speaker 1: purely media failure level. At least two years after the

1096
00:59:24,240 --> 00:59:27,640
Speaker 1: Iraq War, even the most warmongering journalists had to admit

1097
00:59:27,840 --> 00:59:31,400
Speaker 1: Sundam did not have weapons of mass destruction. Two years

1098
00:59:31,400 --> 00:59:34,280
Speaker 1: into Russiagate, the Mulla Report came out and we knew

1099
00:59:34,320 --> 00:59:37,160
Speaker 1: all of what was what. But right now, it's been

1100
00:59:37,200 --> 00:59:40,280
Speaker 1: over two years since the Wuhan Institute of Virology took

1101
00:59:40,360 --> 00:59:45,120
Speaker 1: its database of samples offline, indicating a possible accident. It

1102
00:59:45,200 --> 00:59:48,400
Speaker 1: is actually almost two years to the day right now

1103
00:59:48,560 --> 00:59:51,760
Speaker 1: since the first likely coronavirus cases began spreading from the

1104
00:59:51,800 --> 00:59:55,200
Speaker 1: Wuhan Institute of Virology, and today the public and the

1105
00:59:55,240 --> 00:59:59,880
Speaker 1: media still will not accept their failure. Perhaps unlike iraqta

1106
01:00:00,840 --> 01:00:04,840
Speaker 1: in this case, the media literally needs this to be true,

1107
01:00:05,080 --> 01:00:08,120
Speaker 1: that the lab leakue hypothesis didn't happen, because they would

1108
01:00:08,160 --> 01:00:11,160
Speaker 1: have validated a single thing that Donald Trump once said.

1109
01:00:11,840 --> 01:00:15,840
Speaker 1: And in their stupidity, they elevated doctor Anthony Fauci to prominence.

1110
01:00:16,080 --> 01:00:18,480
Speaker 1: Fauci and his connections to the Wuhan Lab at this

1111
01:00:18,600 --> 01:00:21,080
Speaker 1: point are very well known. He worked for nearly two

1112
01:00:21,120 --> 01:00:23,680
Speaker 1: years to cover up his complicity and funding gain of

1113
01:00:23,720 --> 01:00:27,160
Speaker 1: function research at that facility. He has done so much

1114
01:00:27,280 --> 01:00:30,560
Speaker 1: with such absolute impunity now to this day, because he

1115
01:00:30,760 --> 01:00:33,840
Speaker 1: knows that the mainstream media and the Dems will give

1116
01:00:33,920 --> 01:00:37,280
Speaker 1: him a free pass. There was no better evidence of

1117
01:00:37,320 --> 01:00:39,720
Speaker 1: that than one of his most recent trips to Capitol Hill,

1118
01:00:39,840 --> 01:00:43,040
Speaker 1: where he was confronted directly by Senator Rand Paul, who

1119
01:00:43,120 --> 01:00:46,120
Speaker 1: sneered back at him and told him a lie. Let's

1120
01:00:46,160 --> 01:00:49,280
Speaker 1: relive that for those who might have missed it. Doctor Fauci,

1121
01:00:49,440 --> 01:00:51,600
Speaker 1: knowing that it is a crime to lie to Congress,

1122
01:00:52,040 --> 01:00:54,520
Speaker 1: do you wish to retract your statement of May eleventh,

1123
01:00:54,520 --> 01:00:57,400
Speaker 1: where you claimed that the NIH never funded gain of

1124
01:00:57,440 --> 01:01:01,280
Speaker 1: function research in Wuhan. Senator Pull, I have never lied

1125
01:01:01,880 --> 01:01:05,880
Speaker 1: before the Congress, and I do not retract that statement.

1126
01:01:06,640 --> 01:01:10,480
Speaker 1: This paper that you were referring to was judged by

1127
01:01:10,600 --> 01:01:15,400
Speaker 1: qualified staff up and down the chain as not being

1128
01:01:15,520 --> 01:01:19,440
Speaker 1: gain of function. What was Let me finish, shake an

1129
01:01:19,440 --> 01:01:22,720
Speaker 1: animal virus and you increase the transibility to humans. Right,

1130
01:01:22,760 --> 01:01:25,320
Speaker 1: you're saying that's not gain of function. That is correct,

1131
01:01:25,400 --> 01:01:28,280
Speaker 1: And Senator Poule, you do not know what you are

1132
01:01:28,320 --> 01:01:32,040
Speaker 1: talking about, quite frankly, and I want to say that officially,

1133
01:01:32,480 --> 01:01:36,160
Speaker 1: you do not know what you are talking about. Okay,

1134
01:01:36,200 --> 01:01:40,360
Speaker 1: you get an from the nihl can I function. This

1135
01:01:40,480 --> 01:01:44,160
Speaker 1: is your definition that you guys wrote. It says that

1136
01:01:44,320 --> 01:01:50,040
Speaker 1: scientific research that increases the transmility about transmissibility among animals

1137
01:01:50,440 --> 01:01:54,160
Speaker 1: is gain of function. They took animal viruses that only

1138
01:01:54,200 --> 01:01:58,160
Speaker 1: occur in animals and they increase their transmissibility to humans.

1139
01:01:58,440 --> 01:02:00,960
Speaker 1: How you can say that is not? It is not.

1140
01:02:01,120 --> 01:02:04,000
Speaker 1: It's a dance, and you're dancing around this because you're

1141
01:02:04,040 --> 01:02:08,000
Speaker 1: trying to obscure responsibility for four million people dying around

1142
01:02:08,000 --> 01:02:12,200
Speaker 1: the world from a pandemic. Now, since early September, we

1143
01:02:12,280 --> 01:02:15,640
Speaker 1: have had definitive proof that Fauci lied in the exchange

1144
01:02:15,720 --> 01:02:19,520
Speaker 1: after the Intercept published documents revealing that Fauci funded gain

1145
01:02:19,520 --> 01:02:22,880
Speaker 1: of function research at the Wuhan Lab from twenty fourteen

1146
01:02:22,920 --> 01:02:25,840
Speaker 1: to twenty nineteen, that they knew they were doing so

1147
01:02:26,000 --> 01:02:29,800
Speaker 1: as defined by the federal policies in effect from twenty

1148
01:02:29,880 --> 01:02:33,720
Speaker 1: fourteen to twenty seventeen. That means, even with his congressional

1149
01:02:33,760 --> 01:02:36,400
Speaker 1: word solid and obvious games, he could not get out

1150
01:02:36,400 --> 01:02:38,800
Speaker 1: of the fact that he lied. Now, I, like most

1151
01:02:38,800 --> 01:02:41,600
Speaker 1: of you, did not actually expect anything to happen. It's Washington,

1152
01:02:41,720 --> 01:02:44,440
Speaker 1: after all, people lie all the time before Congress and

1153
01:02:44,440 --> 01:02:46,840
Speaker 1: they don't get prosecuted. And there's no way that the

1154
01:02:46,880 --> 01:02:49,360
Speaker 1: Democrats in power were actually going to do anything to him.

1155
01:02:49,560 --> 01:02:53,000
Speaker 1: But lucky for us, the National Institute of Health, after

1156
01:02:53,040 --> 01:02:56,240
Speaker 1: reviewing the records, was forced to put out a letter

1157
01:02:56,560 --> 01:03:00,240
Speaker 1: in which is explosive in its revelations. The NIA, in

1158
01:03:00,280 --> 01:03:03,800
Speaker 1: their most jargony way possible, corrected in the record and

1159
01:03:03,880 --> 01:03:08,120
Speaker 1: by noting that FAUCI did fund gain of function research

1160
01:03:08,240 --> 01:03:11,919
Speaker 1: at the Wuhan Lab, and even more explosively, they said

1161
01:03:11,960 --> 01:03:15,280
Speaker 1: that EcoHealth Alliance, the nonprofit who was the conduit for

1162
01:03:15,320 --> 01:03:18,840
Speaker 1: their funding, violated the terms of the grant at the

1163
01:03:18,880 --> 01:03:24,400
Speaker 1: time by funding research that enhanced back coronaviruses in humans

1164
01:03:24,640 --> 01:03:27,600
Speaker 1: at the Wuhan Institute. Of virology. This is where things

1165
01:03:27,600 --> 01:03:30,360
Speaker 1: get tricky. Both of the groups here are liars. They

1166
01:03:30,360 --> 01:03:32,200
Speaker 1: have a lot to lose by the slow dribble of

1167
01:03:32,200 --> 01:03:35,640
Speaker 1: evidence that coronavirus very likely leaked from the Wuhan Lab,

1168
01:03:35,960 --> 01:03:38,480
Speaker 1: and they both have actively covered up information in the

1169
01:03:38,520 --> 01:03:41,880
Speaker 1: past tying them to gain of function research. But in

1170
01:03:41,920 --> 01:03:45,560
Speaker 1: this case, EcoHealth Alliance also has some receipts. EcoHealth Alliance

1171
01:03:45,600 --> 01:03:49,480
Speaker 1: releases video right before you that they're from their organization

1172
01:03:49,720 --> 01:03:52,680
Speaker 1: uploading gain of function data to the National Institute of

1173
01:03:52,720 --> 01:03:55,920
Speaker 1: Health all the way back in twenty eighteen, claiming the

1174
01:03:56,000 --> 01:03:59,280
Speaker 1: NIH knew what they were doing the entire time, so

1175
01:04:00,120 --> 01:04:02,760
Speaker 1: telling truth it's hard to tell. But things do not

1176
01:04:02,880 --> 01:04:05,920
Speaker 1: stop here because that video raises a lot of questions.

1177
01:04:06,120 --> 01:04:08,760
Speaker 1: If the US government has been in possession of data

1178
01:04:08,880 --> 01:04:12,040
Speaker 1: that the NIH was funding gain of function research at

1179
01:04:12,080 --> 01:04:16,680
Speaker 1: the Wuhan Lab since twenty eighteen, then every single instance

1180
01:04:16,760 --> 01:04:19,680
Speaker 1: in which Fauci, the man who literally reviews the data

1181
01:04:19,760 --> 01:04:23,040
Speaker 1: and continues these grants, has denied this most basic fact

1182
01:04:23,360 --> 01:04:26,760
Speaker 1: has been a lie. It means that the information as

1183
01:04:26,760 --> 01:04:29,040
Speaker 1: to the key question of US government ties to the

1184
01:04:29,160 --> 01:04:33,360
Speaker 1: lab could have been answered since the beginning of the pandemic,

1185
01:04:33,720 --> 01:04:37,120
Speaker 1: and it raises the ultimate question, how much more is there?

1186
01:04:37,400 --> 01:04:39,959
Speaker 1: This is where the media comes into play. We need

1187
01:04:40,200 --> 01:04:44,760
Speaker 1: overwhelming pressure right now to draw out more of these people.

1188
01:04:44,960 --> 01:04:48,040
Speaker 1: We need journalists digging and instead, here's what we have.

1189
01:04:48,520 --> 01:04:51,360
Speaker 1: Look at how CNN covered the Fauci Ran poll exchange

1190
01:04:51,360 --> 01:04:55,880
Speaker 1: at the time Fauci excoriates Ran Paul. MSNBC played that

1191
01:04:55,920 --> 01:04:59,160
Speaker 1: clip on loop saying Senator Paul, you do not know

1192
01:04:59,200 --> 01:05:02,360
Speaker 1: what you are talking about. They even called Rand Paul's

1193
01:05:02,440 --> 01:05:06,400
Speaker 1: attack slander on July twenty first, as I just laid

1194
01:05:06,400 --> 01:05:09,520
Speaker 1: out who was actually telling the truth in that exchange.

1195
01:05:09,680 --> 01:05:12,440
Speaker 1: Will you see a single one of these networks correct

1196
01:05:12,440 --> 01:05:16,520
Speaker 1: the record or even cover the explosive release I just discussed, No,

1197
01:05:16,960 --> 01:05:21,160
Speaker 1: you will not. That's the problem the media, Fauci, the Democrats,

1198
01:05:21,240 --> 01:05:23,439
Speaker 1: they really need this one to go away. They need

1199
01:05:23,480 --> 01:05:26,560
Speaker 1: the mounting evidence to just ignore it, to cover up

1200
01:05:26,640 --> 01:05:29,320
Speaker 1: their own lives of the last two years. All we

1201
01:05:29,360 --> 01:05:32,120
Speaker 1: can do is keep pushing, as hopeless as it may seem.

1202
01:05:32,160 --> 01:05:34,360
Speaker 1: Though it took us two years to get this much,

1203
01:05:34,520 --> 01:05:37,280
Speaker 1: maybe two years from now we'll finally have the smoking gun.

1204
01:05:37,480 --> 01:05:39,720
Speaker 1: I mean, I don't know what else we need. Crystal

1205
01:05:39,840 --> 01:05:42,160
Speaker 1: you got the report, They're like, oh yeah, actually for

1206
01:05:42,240 --> 01:05:45,680
Speaker 1: funding gain function the entire time. One more thing, I promise.

1207
01:05:46,080 --> 01:05:48,280
Speaker 1: Just wanted to make sure you knew about my podcast

1208
01:05:48,280 --> 01:05:51,120
Speaker 1: with Kyle Kolinski. It's called Crystal, Kyle and Friends, where

1209
01:05:51,120 --> 01:05:53,880
Speaker 1: we do long form interviews with people like Noam Chomsky,

1210
01:05:54,000 --> 01:05:57,280
Speaker 1: Cornell West, and Glenn Greenwald. You can listen on any

1211
01:05:57,320 --> 01:06:00,720
Speaker 1: podcast platform, or you can subscribe over on substack to

1212
01:06:00,720 --> 01:06:03,080
Speaker 1: get the video a day early. We're gonna stop bugging

1213
01:06:03,080 --> 01:06:07,000
Speaker 1: you now, enjoy Crystal. What are you taking a look at? Well, folks,

1214
01:06:07,160 --> 01:06:10,480
Speaker 1: the glue and scotch tape holding our nation's supply chain

1215
01:06:10,520 --> 01:06:14,160
Speaker 1: together has come apart, with catastrophic backups at every point

1216
01:06:14,160 --> 01:06:16,760
Speaker 1: along the way, leading, as you guys know, to shortages

1217
01:06:16,760 --> 01:06:20,080
Speaker 1: of goods ranging from everything from diapers to lumber. And

1218
01:06:20,120 --> 01:06:22,120
Speaker 1: if you dig into the problems for each one of

1219
01:06:22,120 --> 01:06:24,320
Speaker 1: these goods, you're gonna find a similar theme, a nation

1220
01:06:24,520 --> 01:06:28,200
Speaker 1: made fragile by an obsession with short term profits above

1221
01:06:28,320 --> 01:06:31,200
Speaker 1: everything else. Just check out our interview with Matt Stoller

1222
01:06:31,280 --> 01:06:33,880
Speaker 1: for a broad ranging discussion on how we've a lawed

1223
01:06:33,960 --> 01:06:37,880
Speaker 1: monopolist to cheat, price gouge and hollow out our domestic capacity.

1224
01:06:38,360 --> 01:06:40,400
Speaker 1: But I really wanted today to focus in on one

1225
01:06:40,480 --> 01:06:44,200
Speaker 1: very specific element of the overall supply chain picture. That

1226
01:06:44,240 --> 01:06:47,600
Speaker 1: would be the human beings, in particular the truckers who

1227
01:06:47,720 --> 01:06:50,440
Speaker 1: keep goods moving from ports to warehouses and rail yards

1228
01:06:50,600 --> 01:06:52,840
Speaker 1: so that the many, many, many items that we import

1229
01:06:52,840 --> 01:06:55,720
Speaker 1: from overseas might end up on a store shelf in

1230
01:06:55,760 --> 01:06:58,760
Speaker 1: your town. You might say that these workers are essential,

1231
01:06:59,000 --> 01:07:01,360
Speaker 1: and yet do we treat them and such? Of course not.

1232
01:07:01,880 --> 01:07:04,200
Speaker 1: There are not enough of these truckers, as it turns out,

1233
01:07:04,240 --> 01:07:07,320
Speaker 1: and there is a very very simple reason why, because

1234
01:07:07,320 --> 01:07:11,200
Speaker 1: they've been forced to work for free. Joe Wisenthal pointed

1235
01:07:11,240 --> 01:07:14,120
Speaker 1: the sound in a viral thread on Twitter. Port truckers

1236
01:07:14,160 --> 01:07:17,000
Speaker 1: must wait in long lines to pick up cargo, and

1237
01:07:17,040 --> 01:07:20,120
Speaker 1: they only get paid when they actually move the goods.

1238
01:07:20,600 --> 01:07:22,880
Speaker 1: So the longer the lineup at the ports, the more

1239
01:07:23,040 --> 01:07:26,520
Speaker 1: hours truckers have to work for free. According to one

1240
01:07:26,560 --> 01:07:30,360
Speaker 1: expert that's quoted by Bloomberg News quote, the truck driver

1241
01:07:30,440 --> 01:07:33,080
Speaker 1: for decades now has basically been the slack adjuster in

1242
01:07:33,120 --> 01:07:36,120
Speaker 1: the whole system. The entire system is built around free

1243
01:07:36,200 --> 01:07:39,880
Speaker 1: labor from truck drivers as they wait for containers. That's right,

1244
01:07:39,960 --> 01:07:42,520
Speaker 1: ladies and gentlemen. A critical part of our supply chain

1245
01:07:42,560 --> 01:07:44,760
Speaker 1: was premised on the idea that some workers would be

1246
01:07:44,800 --> 01:07:48,120
Speaker 1: so desperate that they would continue to work under conditions

1247
01:07:48,160 --> 01:07:51,800
Speaker 1: of literal indentured servitude. This is not a stretch, It

1248
01:07:51,880 --> 01:07:55,000
Speaker 1: is not an exaggeration. In fact, port trucking has been

1249
01:07:55,000 --> 01:07:58,840
Speaker 1: compared to modern day sharecropping, an arrangement that is less

1250
01:07:58,840 --> 01:08:01,720
Speaker 1: a job choice and more a crushing weight from which

1251
01:08:01,720 --> 01:08:04,560
Speaker 1: you can never escape. It's actually an issue that I've

1252
01:08:04,560 --> 01:08:06,600
Speaker 1: been falling for a long time now. USA Today did

1253
01:08:06,600 --> 01:08:09,000
Speaker 1: an incredible series on the conditions that these workers, who

1254
01:08:09,000 --> 01:08:12,560
Speaker 1: are often poor immigrants, actually face. In it, they document

1255
01:08:12,600 --> 01:08:15,280
Speaker 1: how workers are forced to lease trucks and they're put

1256
01:08:15,320 --> 01:08:18,320
Speaker 1: into debt by rapacious companies with the idea that, oh,

1257
01:08:18,320 --> 01:08:20,920
Speaker 1: one day you'll be able to own that truck and

1258
01:08:20,960 --> 01:08:23,040
Speaker 1: you'll have an asset that you can use to build

1259
01:08:23,040 --> 01:08:27,360
Speaker 1: solid middle class prosperity. That debt instead ends up hanging

1260
01:08:27,400 --> 01:08:30,479
Speaker 1: over them, forcing them to work for pennies. The promise

1261
01:08:30,520 --> 01:08:34,680
Speaker 1: of owning that truck never actually realized. In many instances,

1262
01:08:34,680 --> 01:08:37,760
Speaker 1: the terms are so abusive that after a long week

1263
01:08:38,000 --> 01:08:41,519
Speaker 1: of endless hours, we're talking sleeping in their truck truckers

1264
01:08:41,520 --> 01:08:44,840
Speaker 1: have been informed that they actually owe the company money.

1265
01:08:45,040 --> 01:08:47,320
Speaker 1: Here's the lead to that story from the USA Today.

1266
01:08:47,680 --> 01:08:51,400
Speaker 1: Samuel Talavera Junior did everything his boss's asked. Most days,

1267
01:08:51,400 --> 01:08:55,000
Speaker 1: the trucker would drive more than sixteen hours straight, hauling

1268
01:08:55,120 --> 01:08:59,720
Speaker 1: LG dishwashers and Como tires to warehouses around LA on

1269
01:08:59,720 --> 01:09:02,840
Speaker 1: their way to retail stores nationwide. He rarely went home

1270
01:09:02,880 --> 01:09:04,840
Speaker 1: to his family At night. He crawled into the back

1271
01:09:04,920 --> 01:09:07,160
Speaker 1: of his cab and slept in the company parking lot.

1272
01:09:07,520 --> 01:09:10,160
Speaker 1: For all of that, he took home as little as

1273
01:09:10,200 --> 01:09:13,839
Speaker 1: sixty seven cents a week. Then, in October twenty thirteen,

1274
01:09:14,080 --> 01:09:17,160
Speaker 1: the truck he leased from his employer QTS broke down.

1275
01:09:17,439 --> 01:09:20,240
Speaker 1: When Talavera could not afford repairs, the company fired him

1276
01:09:20,439 --> 01:09:24,000
Speaker 1: and seize the truck, along with seventy eight thousand dollars

1277
01:09:24,160 --> 01:09:26,920
Speaker 1: he had paid towards owning it. Now, that story's not

1278
01:09:26,960 --> 01:09:29,559
Speaker 1: a one off, it is typical. The abuses of these

1279
01:09:29,560 --> 01:09:32,840
Speaker 1: trucking companies are too numerous to recount here, everything from

1280
01:09:32,920 --> 01:09:35,679
Speaker 1: locking the gate so the truckers are forced to continue driving,

1281
01:09:35,920 --> 01:09:38,479
Speaker 1: to forcing them to falsify records showing they were driving

1282
01:09:38,680 --> 01:09:41,680
Speaker 1: way more hours than is permitted by law, and if

1283
01:09:41,720 --> 01:09:45,400
Speaker 1: at any step along the way the driver refuses, they're fired,

1284
01:09:45,600 --> 01:09:47,800
Speaker 1: and all that money they've paid in towards owning their

1285
01:09:47,800 --> 01:09:51,479
Speaker 1: truck is completely lost, with no recourse. The company then

1286
01:09:51,560 --> 01:09:54,760
Speaker 1: leases that truck to a new driver who'll be abused, exploited,

1287
01:09:54,800 --> 01:09:58,240
Speaker 1: and robbed in a similar fashion. It is a widespread

1288
01:09:58,320 --> 01:10:00,960
Speaker 1: and systemic problem. But by the way, way, it's not

1289
01:10:01,080 --> 01:10:03,760
Speaker 1: just no name trucking companies who are guilty here are

1290
01:10:03,840 --> 01:10:07,440
Speaker 1: nation's largest and most iconic retailers. They are all complicit

1291
01:10:07,680 --> 01:10:12,080
Speaker 1: in this illegal system of indentured servitude, target Walmart other

1292
01:10:12,120 --> 01:10:15,680
Speaker 1: Fortune five hundred retailers. They use shipping and logistics contractors

1293
01:10:15,840 --> 01:10:18,799
Speaker 1: who hire out to the lowest bidder, rewarding the companies

1294
01:10:18,800 --> 01:10:22,240
Speaker 1: that cut the most corners and have the most predatory practices.

1295
01:10:22,800 --> 01:10:26,040
Speaker 1: That's not all, though, They've also spent millions on lobbyists

1296
01:10:26,080 --> 01:10:29,200
Speaker 1: to keep drivers from having basic labor rights, including a

1297
01:10:29,240 --> 01:10:33,360
Speaker 1: minimum wage. In other words, folks, your low prices at

1298
01:10:33,360 --> 01:10:36,400
Speaker 1: the store come at a very high cost. The big

1299
01:10:36,439 --> 01:10:39,920
Speaker 1: companies pressure the logistics companies. The logistics companies pressure the

1300
01:10:39,960 --> 01:10:43,240
Speaker 1: trucking companies, and as usual, the ones who actually bear

1301
01:10:43,280 --> 01:10:45,800
Speaker 1: the cost are the human beings who are doing the

1302
01:10:45,880 --> 01:10:49,280
Speaker 1: work desperately grasping for a modicum of stability and a

1303
01:10:49,320 --> 01:10:52,720
Speaker 1: toe hold into the vaunted American dream. Now there are

1304
01:10:53,160 --> 01:10:55,720
Speaker 1: some signs of hope. Some drivers have been able to

1305
01:10:55,800 --> 01:10:59,120
Speaker 1: unionize under the Teamsters, winning better contracts and better conditions.

1306
01:10:59,360 --> 01:11:01,800
Speaker 1: In fact, those unionized drivers went on strike back in

1307
01:11:01,840 --> 01:11:06,920
Speaker 1: April to protest unfair labor practices and hazardous conditions during COVID. Also,

1308
01:11:07,000 --> 01:11:09,960
Speaker 1: workers have been fighting back collectively in court, and they've

1309
01:11:09,960 --> 01:11:13,080
Speaker 1: been winning. In the most recent case a huge trucking company,

1310
01:11:13,200 --> 01:11:16,719
Speaker 1: XPO Logistics, they settled a class action lawsuit alleging wage

1311
01:11:16,720 --> 01:11:20,439
Speaker 1: theft for thirty million dollars. It also, guys, it wasn't

1312
01:11:20,479 --> 01:11:23,960
Speaker 1: always this way. The trucking industry was famously deregulated by

1313
01:11:24,040 --> 01:11:27,120
Speaker 1: Ronald Reagan in nineteen eighty, transforming what was previously a

1314
01:11:27,240 --> 01:11:30,960
Speaker 1: largely unionized workforce with power and basic rights into the

1315
01:11:31,040 --> 01:11:34,640
Speaker 1: system of literal, indentured servitude that we have today. The

1316
01:11:34,720 --> 01:11:39,360
Speaker 1: promise of deregulation was efficiency. The actual result was fragility

1317
01:11:39,439 --> 01:11:43,759
Speaker 1: and extreme exploitation of the most vulnerable workers. But instead

1318
01:11:43,800 --> 01:11:47,200
Speaker 1: of realizing the air of our ways and nationally reregulating trucking,

1319
01:11:47,360 --> 01:11:50,600
Speaker 1: lifting the minimum wage, bolstering unions were more likely to

1320
01:11:50,600 --> 01:11:54,240
Speaker 1: get solutions like this one. Just look at this expanding

1321
01:11:54,400 --> 01:11:57,759
Speaker 1: child labor to deal with labor shortages that were actually

1322
01:11:57,840 --> 01:12:00,920
Speaker 1: caused by wage theft. In Wisconsin, thirteen year olds will

1323
01:12:00,920 --> 01:12:03,240
Speaker 1: be able to work until eleven PM to help plug

1324
01:12:03,280 --> 01:12:07,120
Speaker 1: that labor shortage. Hooray, our problems are solved. Look, guys,

1325
01:12:07,280 --> 01:12:10,280
Speaker 1: in reality, the solutions here are very simple. Make things

1326
01:12:10,280 --> 01:12:13,680
Speaker 1: in America, pay workers well, enforce the law so that

1327
01:12:13,800 --> 01:12:17,920
Speaker 1: exploitation is rare instead of standard operating procedure. It is

1328
01:12:17,960 --> 01:12:21,639
Speaker 1: not complicated, even if our corrupt elite makes these obvious

1329
01:12:21,680 --> 01:12:26,160
Speaker 1: answers impossible to achieve. And Sager, the conditions that these

1330
01:12:26,280 --> 01:12:29,080
Speaker 1: truckers have faced are so important. Yeah, I had no

1331
01:12:29,160 --> 01:12:32,519
Speaker 1: idea until recently actually joining us. Now we have Kyle Condick.

1332
01:12:32,600 --> 01:12:36,920
Speaker 1: He is managing editor for Larry Sabato's Crystal Ball. No

1333
01:12:37,040 --> 01:12:40,400
Speaker 1: relation to me. Great disease, sir, great, Great to have

1334
01:12:40,439 --> 01:12:42,519
Speaker 1: you on the program. Good to see Kyle. Thanks for

1335
01:12:42,560 --> 01:12:44,760
Speaker 1: having me. Of course, so we wanted to bring on

1336
01:12:44,840 --> 01:12:48,759
Speaker 1: specifically to talk about this Virginia gubernatorial election. Terry mccoff

1337
01:12:48,840 --> 01:12:51,160
Speaker 1: is the Democrat. He served one term as governor before

1338
01:12:51,200 --> 01:12:53,280
Speaker 1: and then he was termed womited down because Virginia is weird.

1339
01:12:53,479 --> 01:12:56,320
Speaker 1: They only let you serve one consecutive turn. He is

1340
01:12:56,439 --> 01:13:00,400
Speaker 1: running again against businessman Glenn Youngkin. The polls seem to

1341
01:13:00,400 --> 01:13:03,120
Speaker 1: indicate that the race is quite close. Just give us

1342
01:13:03,120 --> 01:13:05,680
Speaker 1: a little bit of a lay of the land, you know,

1343
01:13:05,880 --> 01:13:08,280
Speaker 1: the Virginia governor's race is one of the first big

1344
01:13:08,400 --> 01:13:12,040
Speaker 1: state level elections that happens after a presidential election. You know,

1345
01:13:12,080 --> 01:13:14,120
Speaker 1: most of the governor's races and the Senate races in

1346
01:13:14,200 --> 01:13:16,680
Speaker 1: the House races obviously happened in the mid term and

1347
01:13:16,760 --> 01:13:19,000
Speaker 1: even numbered years, but there are a handful of races

1348
01:13:19,040 --> 01:13:22,760
Speaker 1: in these odd numbered years. Virginia New Jersey specifically have

1349
01:13:23,000 --> 01:13:25,960
Speaker 1: gubernatorial and state legislative races. New Jersey doesn't seem as

1350
01:13:25,960 --> 01:13:29,479
Speaker 1: competitive as Virginia is, and Virginia has often sort of

1351
01:13:29,560 --> 01:13:31,639
Speaker 1: looked at as kind of a barometer as to where

1352
01:13:31,680 --> 01:13:33,760
Speaker 1: things are at, you know, basically at the halfway point

1353
01:13:33,760 --> 01:13:36,880
Speaker 1: between the presidential election and the midterm election. The Virginia

1354
01:13:36,880 --> 01:13:39,840
Speaker 1: governor's race often ends up going to the party that

1355
01:13:39,880 --> 01:13:43,080
Speaker 1: doesn't hold the White House. Since since the nineteen seventies,

1356
01:13:43,680 --> 01:13:46,679
Speaker 1: only once has a presidential party candidate won the Virginia

1357
01:13:46,720 --> 01:13:49,000
Speaker 1: governor's race, and that happened to beet Terry McAuliffe, the

1358
01:13:49,040 --> 01:13:53,080
Speaker 1: Democratic nominee in this time. He won in twenty thirteen

1359
01:13:53,120 --> 01:13:55,719
Speaker 1: by two and a half points, even though Barack Obama

1360
01:13:55,800 --> 01:13:59,519
Speaker 1: was in the White House and was relatively unpopular at

1361
01:13:59,520 --> 01:14:03,080
Speaker 1: that time, similar to how Joe Biden is now. Also,

1362
01:14:03,120 --> 01:14:06,519
Speaker 1: what you see is usually the however well or not

1363
01:14:06,680 --> 01:14:10,040
Speaker 1: well the presidential party did in Virginia in the presidential year,

1364
01:14:10,320 --> 01:14:14,240
Speaker 1: they do worse in the in the next jubernatorial election.

1365
01:14:14,360 --> 01:14:16,360
Speaker 1: And so at the very least, Biden won the state

1366
01:14:16,400 --> 01:14:18,639
Speaker 1: by ten. You wouldn't expect a call to win by ten,

1367
01:14:18,720 --> 01:14:20,679
Speaker 1: and there's just a lot of questions whether he's gonna

1368
01:14:20,680 --> 01:14:24,000
Speaker 1: win at all. See this is where I'm really interested, Kyle.

1369
01:14:24,160 --> 01:14:27,640
Speaker 1: It's a ten point Biden state, and yet Terry mccauliffe

1370
01:14:27,680 --> 01:14:30,400
Speaker 1: is making this all about Trump. Every ad I've seen

1371
01:14:30,479 --> 01:14:33,040
Speaker 1: is about Trump. It's basically saying, Glenn youngin is you

1372
01:14:33,080 --> 01:14:35,280
Speaker 1: know Trump with the mask on, or something like that

1373
01:14:35,479 --> 01:14:39,000
Speaker 1: to that effect. How effective is that strategy likely to be?

1374
01:14:39,520 --> 01:14:42,559
Speaker 1: How do Virginians right now feel about Trump even though

1375
01:14:42,560 --> 01:14:45,160
Speaker 1: he's gone right now? Well, I don't think Trump is

1376
01:14:45,200 --> 01:14:48,120
Speaker 1: popular in Virginia, and I think that the Youngkin campaign

1377
01:14:48,160 --> 01:14:49,960
Speaker 1: is sort of telling us what they think about this

1378
01:14:50,080 --> 01:14:53,000
Speaker 1: By trying to keep Trump at arm's length. Young Kid

1379
01:14:53,040 --> 01:14:56,040
Speaker 1: is trying to kind of give little nods to the

1380
01:14:56,080 --> 01:14:58,320
Speaker 1: Trump folks, but also just hope that that those folks

1381
01:14:58,320 --> 01:15:01,120
Speaker 1: are going to turn out for him anyway because they're energized,

1382
01:15:01,439 --> 01:15:03,360
Speaker 1: and that he can sort of focus his message more

1383
01:15:03,400 --> 01:15:05,439
Speaker 1: on the suburbs. And so Youngkin has gone really heavy

1384
01:15:05,479 --> 01:15:08,920
Speaker 1: on education, for instance, as an issue down the stretch

1385
01:15:08,920 --> 01:15:11,600
Speaker 1: here and sort of trying to capitalize on something in

1386
01:15:11,680 --> 01:15:15,400
Speaker 1: the Calle said about renal involvement in schools during one

1387
01:15:15,439 --> 01:15:18,360
Speaker 1: of the one of the debates. But also, you know,

1388
01:15:18,400 --> 01:15:21,200
Speaker 1: governor's races are just different than federal races, and so

1389
01:15:21,360 --> 01:15:24,280
Speaker 1: you know, it's while I think every race is kind

1390
01:15:24,280 --> 01:15:27,000
Speaker 1: of federalized to some degree these days, you know, you

1391
01:15:27,040 --> 01:15:31,000
Speaker 1: do have democratic or Republican governors in Massachusetts and Vermont

1392
01:15:31,120 --> 01:15:35,360
Speaker 1: and Maryland. You do have democratic governors in places like Kansas, Kentucky,

1393
01:15:35,360 --> 01:15:38,640
Speaker 1: and Louisiana. And so for Virginia to elect a Republican

1394
01:15:38,680 --> 01:15:41,519
Speaker 1: governor would not be that crazy. And again, the state

1395
01:15:41,600 --> 01:15:44,720
Speaker 1: is blueish, but it's not you know, it's not California,

1396
01:15:44,760 --> 01:15:47,679
Speaker 1: it's not New York, it's not Illinois. So again it's

1397
01:15:47,720 --> 01:15:50,040
Speaker 1: it's it's I think it's trending democratic, and I don't

1398
01:15:50,040 --> 01:15:52,680
Speaker 1: think even if young can wins that necessarily changes the

1399
01:15:53,000 --> 01:15:56,320
Speaker 1: long term trajectory. But the state's competitive enough that Youngkin

1400
01:15:56,360 --> 01:15:58,840
Speaker 1: could win under the right circumstances. Yeah, and what are

1401
01:15:58,840 --> 01:16:01,960
Speaker 1: those right circumstances? Is look like I mean a lot

1402
01:16:01,960 --> 01:16:04,320
Speaker 1: of it looks like what's happening right now. You know,

1403
01:16:04,400 --> 01:16:08,720
Speaker 1: Biden's numbers are bad. He's his approval rating nationally is

1404
01:16:09,080 --> 01:16:11,800
Speaker 1: in the low to mid forties, depending on whatever poll

1405
01:16:11,920 --> 01:16:13,720
Speaker 1: you look at. You know, that's better than Trump was

1406
01:16:13,760 --> 01:16:16,519
Speaker 1: at this time of his presidency. But you know, Biden

1407
01:16:16,600 --> 01:16:19,439
Speaker 1: is still relatively weak and has been since since mid

1408
01:16:19,520 --> 01:16:22,800
Speaker 1: August or mid to late August. Uh and uh, you know,

1409
01:16:22,840 --> 01:16:25,320
Speaker 1: so the so I think that mccalloff once, you know,

1410
01:16:25,560 --> 01:16:27,680
Speaker 1: at one time saw Biden as an asset and now

1411
01:16:27,680 --> 01:16:30,439
Speaker 1: maybe sees him as an indurance. Mccauliffe has said as much,

1412
01:16:30,479 --> 01:16:33,760
Speaker 1: although Biden is also going to be campaigning with McAuliffe

1413
01:16:33,760 --> 01:16:37,800
Speaker 1: in Arlington on Tuesday evening. So Biden, you know, Biden

1414
01:16:37,880 --> 01:16:42,360
Speaker 1: is still showing up. But you know, fundamentally, uh McAuliffe

1415
01:16:42,400 --> 01:16:44,760
Speaker 1: is really trying to nationalize this race and Younkin is

1416
01:16:44,760 --> 01:16:46,920
Speaker 1: trying to kind of localize it. It's it's sort of

1417
01:16:46,960 --> 01:16:50,200
Speaker 1: a turnaround from what you might have expected in uh

1418
01:16:50,240 --> 01:16:52,519
Speaker 1: in a race like this, you know, during the Obama years,

1419
01:16:52,520 --> 01:16:56,080
Speaker 1: where Republicans are the ones, you know, nationalizing everything and

1420
01:16:56,120 --> 01:16:59,160
Speaker 1: Democrats are trying to localize. It's a it's an interesting reversal,

1421
01:16:59,200 --> 01:17:01,320
Speaker 1: but I think it tells us something about where Virginia is.

1422
01:17:01,320 --> 01:17:03,360
Speaker 1: And you know, sometimes that strategy works and sometimes it

1423
01:17:03,400 --> 01:17:05,920
Speaker 1: doesn't tells us a lot. So Kyle, who is the

1424
01:17:05,920 --> 01:17:09,679
Speaker 1: critical constituency of the Virginia gubernatorial race, Glenn Youngkin going

1425
01:17:09,720 --> 01:17:13,920
Speaker 1: hardcore after suburban parents, women in particular, who swung hard

1426
01:17:14,120 --> 01:17:16,679
Speaker 1: for Biden. Is that where Terry mccaulliff is laser focused.

1427
01:17:16,720 --> 01:17:19,679
Speaker 1: What's their turnout strategy if it works? I mean, look,

1428
01:17:19,720 --> 01:17:22,160
Speaker 1: I think that for McCall iff, you know, part of

1429
01:17:22,479 --> 01:17:24,120
Speaker 1: I think you can look at Virginia sort of a

1430
01:17:24,120 --> 01:17:27,400
Speaker 1: base mobilization state these days, and you know, there's always

1431
01:17:27,479 --> 01:17:30,599
Speaker 1: questions for Democrats about you know, turning out young voters,

1432
01:17:30,640 --> 01:17:34,200
Speaker 1: turning out people of color, specifically black voters, and so

1433
01:17:34,680 --> 01:17:37,479
Speaker 1: you know, Barack Obama was a richmon over the weekend.

1434
01:17:37,520 --> 01:17:40,759
Speaker 1: You know, that's an appearance targeted at making black voters

1435
01:17:40,800 --> 01:17:44,400
Speaker 1: aware of the race and getting them to vote. McCall's

1436
01:17:44,400 --> 01:17:46,920
Speaker 1: brought in a number of other surrogates. But yeah, I

1437
01:17:46,920 --> 01:17:49,240
Speaker 1: do think that, you know, Youngkin's strategy. I think to

1438
01:17:49,520 --> 01:17:52,120
Speaker 1: win the state is to get you know, big turnout

1439
01:17:52,280 --> 01:17:56,360
Speaker 1: and big margins in kind of the out state areas,

1440
01:17:56,400 --> 01:17:58,719
Speaker 1: you know, the western part of the state that aren't

1441
01:17:58,720 --> 01:18:00,240
Speaker 1: as populous, but a lot of those places is a

1442
01:18:00,280 --> 01:18:03,440
Speaker 1: really Republican outside of you know, college towns like Charlottesville

1443
01:18:03,600 --> 01:18:08,160
Speaker 1: in western western Virginia. But I also think that Young Cain,

1444
01:18:08,320 --> 01:18:11,000
Speaker 1: you know, base moobilization is not enough for Younkin because

1445
01:18:11,040 --> 01:18:13,960
Speaker 1: because Virginia has become a bluish state, and so I

1446
01:18:13,960 --> 01:18:16,080
Speaker 1: think those kind of swing voters in the suburbs are

1447
01:18:16,080 --> 01:18:19,640
Speaker 1: also important, not in kind of exurban northern Virginia that

1448
01:18:19,680 --> 01:18:22,200
Speaker 1: isn't quite as blue as sort of the closer to

1449
01:18:22,280 --> 01:18:25,640
Speaker 1: Washington d C. Core places like Virginia Beach, which is

1450
01:18:25,680 --> 01:18:29,360
Speaker 1: a big swing constituency that I think basically has to

1451
01:18:29,400 --> 01:18:32,400
Speaker 1: vote Republican for Republican win statewide. And also some of

1452
01:18:32,400 --> 01:18:35,400
Speaker 1: the suburban places around Richmond which used to be more

1453
01:18:35,479 --> 01:18:38,439
Speaker 1: Republican but then sort of a trended Democratic. But there

1454
01:18:38,439 --> 01:18:40,680
Speaker 1: can always end up being some sort of reversion back

1455
01:18:40,720 --> 01:18:43,880
Speaker 1: to Republicans. Do you see that and that's something to

1456
01:18:43,880 --> 01:18:48,799
Speaker 1: watch for. Yeah? Absolutely, And are there any interesting telltale

1457
01:18:48,840 --> 01:18:52,519
Speaker 1: signs of whose turnout operations working more effectively in terms

1458
01:18:52,520 --> 01:18:55,599
Speaker 1: of the early vote numbers, I would not take a

1459
01:18:55,600 --> 01:18:58,599
Speaker 1: ton from the early vote. Part of it is because

1460
01:18:58,920 --> 01:19:01,599
Speaker 1: early and mail in voting in Virginia is a relatively

1461
01:19:01,640 --> 01:19:04,439
Speaker 1: new phenomenon, at least a being widespread, you know, prior

1462
01:19:04,520 --> 01:19:06,719
Speaker 1: to some legal changes that were made in early twenty

1463
01:19:06,720 --> 01:19:09,200
Speaker 1: twenty actually pre pandemic, although it ended up working out

1464
01:19:09,200 --> 01:19:12,479
Speaker 1: well because of the pandemic, which you only had maybe

1465
01:19:12,760 --> 01:19:15,320
Speaker 1: five to ten percent of the Virginia vote being cast

1466
01:19:15,360 --> 01:19:18,599
Speaker 1: early and absentee by mail because you need an excuse

1467
01:19:18,840 --> 01:19:21,800
Speaker 1: to vote that way. Well, the legislature that Democrats took

1468
01:19:21,800 --> 01:19:24,880
Speaker 1: in twenty nineteen, they made it so you didn't have

1469
01:19:24,880 --> 01:19:26,840
Speaker 1: to have an excuse, and so about sixty percent of

1470
01:19:26,840 --> 01:19:30,719
Speaker 1: all the votes were cast early or absentee in twenty twenty.

1471
01:19:31,280 --> 01:19:33,519
Speaker 1: That's not going to be the case here in twenty

1472
01:19:33,560 --> 01:19:36,600
Speaker 1: twenty one. I'd say maybe about twenty maybe about a

1473
01:19:36,680 --> 01:19:38,639
Speaker 1: quarter of the vote has already been cast so far.

1474
01:19:39,360 --> 01:19:41,559
Speaker 1: You know, early voting continues this week. So in some

1475
01:19:41,600 --> 01:19:43,439
Speaker 1: ways you say, oh, well, early voting is way down

1476
01:19:43,520 --> 01:19:46,080
Speaker 1: from twenty twenty, but it's also way up from any

1477
01:19:46,280 --> 01:19:50,400
Speaker 1: other previous continion election. And Virginia voters are not necessarily

1478
01:19:50,800 --> 01:19:53,240
Speaker 1: you know, you don't have a long tradition of voting

1479
01:19:53,280 --> 01:19:55,360
Speaker 1: early and by mail like you do in states like

1480
01:19:55,400 --> 01:19:58,040
Speaker 1: Florida and California, so it's not it's hard to know

1481
01:19:58,080 --> 01:20:00,240
Speaker 1: exactly what kind of like the normal level of early

1482
01:20:00,280 --> 01:20:02,879
Speaker 1: voting in Virginia is because it's so it's a relatively

1483
01:20:02,880 --> 01:20:06,639
Speaker 1: new Instead, I think it's an excellent point there, Kyle,

1484
01:20:06,920 --> 01:20:08,320
Speaker 1: Can you make a prediction? What do you what do

1485
01:20:08,360 --> 01:20:12,679
Speaker 1: you think is going to happen? I mean, I guess

1486
01:20:12,720 --> 01:20:15,360
Speaker 1: I'd rather still be mcauliff than Youngkin just because of

1487
01:20:15,400 --> 01:20:18,880
Speaker 1: the way Virginia is now. But you know, I think

1488
01:20:18,880 --> 01:20:20,599
Speaker 1: I do think it's really close. All the indicators are

1489
01:20:20,600 --> 01:20:22,519
Speaker 1: really close. And let me also tell you this if

1490
01:20:22,560 --> 01:20:25,640
Speaker 1: you want to try to interpret this broad broader nationally,

1491
01:20:26,360 --> 01:20:28,640
Speaker 1: the difference the difference between a one point young can

1492
01:20:28,720 --> 01:20:31,200
Speaker 1: win and a one point. Mcaueff win. Shouldn't change your

1493
01:20:31,200 --> 01:20:35,920
Speaker 1: analysis saw that much, you know, whatever, whatever you know,

1494
01:20:36,040 --> 01:20:37,880
Speaker 1: not again, if you know, maybe mcallff wins by five

1495
01:20:37,920 --> 01:20:40,240
Speaker 1: and then that's a different story. But if it is

1496
01:20:40,320 --> 01:20:43,040
Speaker 1: really really close, you know, if you're looking at the

1497
01:20:43,160 --> 01:20:44,559
Speaker 1: you know, obviously it matters a lot of people living

1498
01:20:44,600 --> 01:20:46,200
Speaker 1: in Virginia, but if you're looking at it from a

1499
01:20:46,280 --> 01:20:49,520
Speaker 1: national perspective, it's still a significant drop off for Democrats

1500
01:20:49,680 --> 01:20:52,720
Speaker 1: even if mccauleff were eke it out. That's a fantastic point, Kyle.

1501
01:20:52,760 --> 01:20:54,360
Speaker 1: That's why we bring you on. Thank you so much, man.

1502
01:20:54,360 --> 01:20:56,040
Speaker 1: We really appreciate it. Great to see you. Thank you,

1503
01:20:56,560 --> 01:20:59,559
Speaker 1: thank you absolutely, Thank you guys so much for watching.

1504
01:20:59,800 --> 01:21:02,320
Speaker 1: We really appreciate it. It's been fun ride here. Met

1505
01:21:02,360 --> 01:21:04,840
Speaker 1: some premium subscribers over the weekend. Always fun, some of

1506
01:21:04,880 --> 01:21:08,799
Speaker 1: them on a plane can escape, but it's a cool thing. Listen.

1507
01:21:08,880 --> 01:21:11,240
Speaker 1: We really appreciate it your guys so much support. I mean,

1508
01:21:11,280 --> 01:21:14,479
Speaker 1: we have some great developments here in the works, technologically wise.

1509
01:21:14,520 --> 01:21:16,200
Speaker 1: I think you guys are going to be really excited.

1510
01:21:16,240 --> 01:21:19,599
Speaker 1: We're really beefing up our operation here. But to do

1511
01:21:19,640 --> 01:21:22,360
Speaker 1: that we need your support. We can't rely on YouTube.

1512
01:21:22,400 --> 01:21:24,160
Speaker 1: We just simply can't. That is the truth. If we

1513
01:21:24,240 --> 01:21:26,439
Speaker 1: try to, we literally wouldn't be able to pay our bills.

1514
01:21:26,640 --> 01:21:30,120
Speaker 1: Given like the weird and mass swings on demonetization or

1515
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Speaker 1: copyright or whatever. Our focus is on bring you the

1516
01:21:33,600 --> 01:21:36,600
Speaker 1: best show possible, Ramp up with the production, make the

1517
01:21:36,640 --> 01:21:39,040
Speaker 1: show as big as it can be for everybody, not

1518
01:21:39,280 --> 01:21:41,599
Speaker 1: just for the sake of us. So we really appreciate

1519
01:21:41,640 --> 01:21:43,479
Speaker 1: your support and link is down there in the description.

1520
01:21:43,760 --> 01:21:45,559
Speaker 1: Love you guys, have a fantastic day, and we will

1521
01:21:45,560 --> 01:22:02,080
Speaker 1: see you right back here tomorrow tomorrow. Thanks for listening

1522
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1523
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1524
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1526
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Speaker 1: premium membership. If you want to find out more, go

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Speaker 1: to Crystalansager dot com.