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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 Tuesday. We have an amazing show for everybody today.

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Speaker 1: When do we have Christmas? Well indeed we do. That's

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Speaker 1: interesting stories that are cooking out there. Insider has done

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Speaker 1: a massive deep dive into the levels of shocking corruption

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Speaker 1: will maybe not so shocking at this point. I'm shocking

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Speaker 1: out a little. They are covered, yeah, among our lawmakers

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Speaker 1: and also their staff, which I actually think is a

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Speaker 1: really important aspect of this. We're going to leave the

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Speaker 1: show with that. But other stories that we want to

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Speaker 1: get to is an update on where the Build Back

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Speaker 1: Better plan is. Joe Manchin continues to be the big holdout,

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Speaker 1: Chuck Schumer wanting a vote before Christmas? Is that actually

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Speaker 1: going to happen? Is it ever going to happen? We'll

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Speaker 1: give you the latest. There also some new indicators about

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Speaker 1: some of what is going on in our labor force.

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Speaker 1: A lot of people are suffering out there, both with

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Speaker 1: mental and physical health challenges that are keeping them out

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Speaker 1: of the labor force. We've got some new numbers there. Also,

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Speaker 1: the Biden administration has announced, in spite of continued economic troubles,

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Speaker 1: they are going to restart student loan payments in the

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Speaker 1: new year. Very latest. There also a story about CNN.

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Speaker 1: I'm not even going to tease it. You just just

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Speaker 1: wait read the caption, wait to get the details of

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Speaker 1: this one, because it's really something. Also excited today to

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Speaker 1: talk to Lucas Kums. We've had him on the show before,

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Speaker 1: veteran who you know, was very supportive of our withdrawal

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Speaker 1: from Afghanistans, some really courageous things there. He's now running

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Speaker 1: for Senate in the Democratic primary in Missouri. It's an

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Speaker 1: open seat, so we're going to talk to him about

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Speaker 1: his campaign. He's really running, try to run as a

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Speaker 1: progressive populist. Yes, very very rare, not talking about this

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Speaker 1: politics at all. It's very very fascinating too, I think,

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Speaker 1: both of us. So if he can win, that would

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Speaker 1: be a big, big deal, especially in a state like Missouri.

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Speaker 1: I mean, even if he's able to outperform what Democrats

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Speaker 1: can do now in a state like Missouri, that would

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Speaker 1: be a very interesting piece of data. So I'm going

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Speaker 1: to talk to Lucas about his campaign, but we did

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Speaker 1: want to start with that deep dive from Insider into corruption.

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Speaker 1: They took a look at every member of the House,

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Speaker 1: every member of the Senate. They evaluated all of their

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Speaker 1: stock trades and their portfolios. They matched them up with

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Speaker 1: the committees that they sit on to see, you know,

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Speaker 1: where they might have special insight and be able to

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Speaker 1: direct policy and legislation. They also, as I mentioned before,

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Speaker 1: they looked at the staff because especially, I mean this

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Speaker 1: varies a lot member to member. Some members are more

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Speaker 1: like actually in charge in their office, and some are

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Speaker 1: you know, really influenced by the people that they have

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Speaker 1: around them, from their chief of staff to their legislative directors.

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Speaker 1: So it matters a lot what those staff members are

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Speaker 1: doing as well, which is why they were also included

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Speaker 1: in the Stock Act, which forces disclosure both for members

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Speaker 1: of Congress but also for their aids. Let's go ahead

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Speaker 1: and throw this tear sheet up on the screen. They say,

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Speaker 1: we rated every member of Congress on their financial conflicts

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Speaker 1: and transparency. Part of what they say is dozens of

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Speaker 1: federal lawmakers and at least one hundred and eighty two

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Speaker 1: top congressional staffers are violating a federal conflict of interest

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Speaker 1: law known as the Stock Act. Others are failing to

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Speaker 1: avoid clashes between their personal finances and public duties. So

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Speaker 1: the two pieces there are number one, some of these people,

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Speaker 1: a lot of these people actually are in violation of

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Speaker 1: the law of the Stock Act. Others, what they may

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Speaker 1: be doing is not illegal, but it probably should be

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Speaker 1: because of the conflicts of interest directly impacting the country,

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Speaker 1: impacting the trades that they're making here. This is obviously

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Speaker 1: something that we've tracked quite closely, so very interested to

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Speaker 1: see the results of this. What they say here is

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Speaker 1: in Washington, d C. A one bipartisan phenomenon is thriving.

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Speaker 1: Numerous members of Congress, both liberal and conservative, are united

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Speaker 1: in their demonstrated indifference toward a law designed to quash

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Speaker 1: corruption and curb conflicts of interest. Insider's new investigative reporting project,

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Speaker 1: Conflicted Congress, chronicles the myriad ways that members of the

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Speaker 1: US House and Senate have eviscerated their own ethical standards,

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Speaker 1: avoided consequences, and blinded Americans to the many moments when lawmakers'

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Speaker 1: personal finances clash with their public duties. Very strong language,

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Speaker 1: and what is uncovered is quite significant. Let's go ahead

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Speaker 1: and put who are the worst of the worst here?

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Speaker 1: They graded everybody, you can see the graphic there along

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Speaker 1: the left, Democrat, Republican, and independent. They graded everybody as solid,

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Speaker 1: borderline or danger. You can see the numbers between Dems

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Speaker 1: and Republicans. There's a few more Republicans, but really quite

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Speaker 1: a bipartisan phenomenon, and that's the picture there we have

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Speaker 1: fourteen members of Congress who are rated as danger. Dianne

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Speaker 1: Feinstein is there, Senator Senator Tommy Tuberville is also as

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Speaker 1: a Tuberville or tuberville Ille. I don't know. We'll go

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Speaker 1: to Tuberville showing that we don't watch football book. Yeah, totally.

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Speaker 1: Sean Patrick Maloney who is head of the d Triple C.

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Speaker 1: So number of members here that are sort of the

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Speaker 1: worst offenders in terms of violating the Stock Act or

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Speaker 1: not taking proactive steps to avoid potential conflicts of interest.

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Speaker 1: A lot of the excuses that these lawmakers give. I mean,

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Speaker 1: it's all the classic things that we've forget. Oh it's

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Speaker 1: my wife's stock. Oh, I have nothing to do with that. Oh,

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Speaker 1: you know, I had no idea, and of course I

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Speaker 1: uphold the highest of ethical standards. And oh I didn't

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Speaker 1: disclose that. I just forgot. I didn't get the information

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Speaker 1: from my husband or my trader whoever until it was

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Speaker 1: too late. So you know, the excuses are what they are.

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Speaker 1: But let's go ahead and throw this next piece up

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Speaker 1: on the screen. So they took this data and then

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Speaker 1: they broke it down into different individual articles, one of

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Speaker 1: them highly significant. Here is the pandemic ranged at least

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Speaker 1: seventy five lawmakers bought and sold stock in companies that

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Speaker 1: make COVID nineteen vaccines, treatments, and tests. They also track

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Speaker 1: fifteen lawmakers task with shaping US defense policy that actively

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Speaker 1: invest in military contractors. They caught a dozen environ more

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Speaker 1: than a dozen environmentally minded Democrats who are investing in

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Speaker 1: fossil fuel companies. I mean, it just exposes how full

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Speaker 1: of it these people are when they claim to be

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Speaker 1: public servants, when they claimed to be above the frame,

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Speaker 1: when they claim to be acting the public interest, and

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Speaker 1: even some of the positions that they claim to hold,

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Speaker 1: those are in direct conflict with some of the things

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Speaker 1: that they are investing in and making money off of. No, absolutely,

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Speaker 1: I think going through each of these things just gives

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Speaker 1: you a way in order to comprehend the scale. So

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Speaker 1: just one of these representative, Pat Follon, he was the

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Speaker 1: first one on that danger list. He had one hundred

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Speaker 1: and eighteen violations of the Stock Act with up to

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Speaker 1: nine million dollars in trades. The members said that they

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Speaker 1: paid any fines, but they did not provide any proof. Okay,

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Speaker 1: so that's just one. What about the next one. Whenever

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Speaker 1: we go when we look at Dianne Feinstein, I mean,

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Speaker 1: this is a person who had a late disclosure, but

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Speaker 1: totally thousands of dollars in terms of her Stock Act violation.

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Speaker 1: All of them, many of them are ones that you

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Speaker 1: haven't even heard of. But like you said, one of

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Speaker 1: these people is ahead of the d triple C. And

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Speaker 1: yet whenever you look at Sean Patrick Maloney, we're talking

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Speaker 1: about up to eight different trades that he also refused

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Speaker 1: to comment or didn't even respond on whether he had

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Speaker 1: done anything. I just gave you a small sampling of

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Speaker 1: the three of the thirteen. And you know, the other

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Speaker 1: thing that gets me is when you look at the

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Speaker 1: most popular stocks which are owned by Congress, this matters

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Speaker 1: a lot, right in terms of potential regulation. Well, what

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Speaker 1: do you guys think they are? Well, Apple, Microsoft, Google, Disney,

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Speaker 1: Johnson and Johnson, JP, Morgan and Chase, Pfizer, Berkshire, Hathaway, Exxon, Mobil,

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Speaker 1: Proctor and Gamble. I just read off technology, energy, secretor

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Speaker 1: and financial sector. Those are probably the three most intertwined

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Speaker 1: what sectors with government. In terms of what's before government

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Speaker 1: right now, it is absolutely are we going to do

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Speaker 1: anything about tech. What does that even mean? Are we

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Speaker 1: gonna do anything about energy, fosphuel, infrastructure bill, financial regulation?

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Speaker 1: I mean, that's a long standing tradition here in DC. Now,

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Speaker 1: you would have to be a fool to think that

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Speaker 1: your ownership in these companies is not gonna at least

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Speaker 1: in some way impact how you decide to vote. I mean,

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Speaker 1: does anybody truly believe that? And this isn't two cast

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Speaker 1: dispersions on them. This is to say they're normal human

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Speaker 1: beings most people. If you own something, well, when something

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Speaker 1: bad happens or you know, are you really gonna vote

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Speaker 1: directly against your financial interests. The whole point is, let's

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Speaker 1: not even let people get into that situation. And you know,

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Speaker 1: the more you look at this stuff like even Berkshire

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Speaker 1: Class B stock, like like high high net worth individuals.

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Speaker 1: Ali Baba is also on there, love that, you know,

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Speaker 1: Chinese corporation awesome for American American congressional members. And the

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Speaker 1: more I look into the list, what I'm just struck

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Speaker 1: by is just how bipartisan it all is, how it

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Speaker 1: also permeates basically every single sector. Like you said, fifteen

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Speaker 1: people who serve on the defense committees getting defense stock

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Speaker 1: seventy five lawmakers buying and selling stock in the COVID vaccines,

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Speaker 1: Democrats who are hailed as environmental champions who are buying

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Speaker 1: and selling fossil fuels, Members of Congress who publicly blast

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Speaker 1: Facebook but quietly invest all their savings in Facebook. I mean,

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Speaker 1: and one hundred and eighty two high ranking congressional staffers

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Speaker 1: have violated federal conflict of interest laws with overdue disclosure

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Speaker 1: of their personal stock trades. I have an idea. When

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Speaker 1: you work there, or whenever you serve there, you can't

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Speaker 1: sell stock. I know that sucks, but you know it's

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Speaker 1: a choice. Nobody forced you to do this. You signed

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Speaker 1: up and you ran for election in order to do this.

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Speaker 1: You don't have a constitutional right in order to day

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Speaker 1: trade stocks while you're a member of being on the

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Speaker 1: insider info you're getting as a public servant. I mean,

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Speaker 1: that's the thing that I always come back to, is

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Speaker 1: those words just become so meaningless, Like, yeah, it's no

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Speaker 1: big deal to ask somebody to sacrifice a small amount, right, Oh,

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Speaker 1: you can't day trade while you're in Congress, big deal

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Speaker 1: or even I mean, the other big thing is that

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Speaker 1: this is one aspect of it. The way that they're

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Speaker 1: profiting off of the knowledge they have sitting on these committees.

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Speaker 1: The other aspect of it is, of course, how they

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Speaker 1: line themselves up for whatever career they're going to do

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Speaker 1: after they leave Congress. When they feel entitled to enter

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Speaker 1: the elite point one percent and make tons of money

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Speaker 1: and cash in, they want to go live. Most of

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Speaker 1: them are already millionaires, and they want to continue going

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Speaker 1: and living the life that the that the donor class

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Speaker 1: is living. I mean, those are their closest friends, those

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Speaker 1: are the people they spend the most time with in Congress,

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Speaker 1: and that's the social set that they are a part

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Speaker 1: of and see themselves as continuing to be a part of.

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Speaker 1: And one thing that always we see with these is

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Speaker 1: even the wealthiest members who have millions, tens of millions,

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Speaker 1: and some instance hundreds of millions of dollars, it's never

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Speaker 1: enough for them. You've still got to trade based on

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Speaker 1: your knowledge of you know, what's going on in Congress.

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Speaker 1: You still got to be out there. They try trying

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Speaker 1: to maximize every market cycle. This is that's disgusting. And

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Speaker 1: so these very same people, many of them, they rightly

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Speaker 1: decry the erosion of our democracy and are concerned about

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Speaker 1: trust in our institutions. It's like, look in the mirror.

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Speaker 1: I mean, you're such a part of degrading anyone's faith

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Speaker 1: that you all are acting in the public interest. So yeah,

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Speaker 1: this exposes it exposes the corruption, it exposes the hypocrisy.

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Speaker 1: You know, the people who are saying they care about

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Speaker 1: climate change and then they're out there, you know, trade

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Speaker 1: and stock and exonmobil or whatever. The people who claim

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Speaker 1: that they hate the tech giants, etc. Etc. And they're

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Speaker 1: out there. Yeah, they're profiting off of whatever their tech

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Speaker 1: oligarchs are out there doing. It's exactly what you would expect,

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Speaker 1: and yet we cannot just accept it as business as usual.

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Speaker 1: And to your point about the incentives here, Look, whether

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Speaker 1: you're a good person or bad person, people are not

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Speaker 1: always aware of the way that their incentives are shaping

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Speaker 1: their behavior. Oftentimes they're sort of influenced by it. They

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Speaker 1: rationalize whatever decision it is that they're making their committee

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Speaker 1: without even necessarily being aware that it's because they have

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Speaker 1: a financial issues. They may swear to you up and

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Speaker 1: now it's nothing to do with it. But just like

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Speaker 1: we saw with the judges who were compromised, who had

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Speaker 1: financial investments affiliated with the companies or the entities that

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Speaker 1: they were then having to rule on and not disclosing

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Speaker 1: and not recusing themselves. Oh guess what, more times than not,

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Speaker 1: they were likely to rule in favor of their financial interests.

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Speaker 1: That's the whole point, which is that, look, on balance,

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Speaker 1: it obviously is going to have some sort of impact.

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Speaker 1: Is this the core root of the stasis corruption or

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Speaker 1: whatever in Washington? No? Does it contribute to it? Yeah,

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Speaker 1: And this is one of the things where nobody wants

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Speaker 1: to talk about it because it is so bipartisan. You

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Speaker 1: have a Republican senator, you have a Democratic senator. You

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Speaker 1: have the Speaker of the House whose husband is you know,

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Speaker 1: pulling multimillion dollar trades. You have some people on here

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Speaker 1: who consider themselves hardcore maga Republicans, Lance Godin and I'm

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Speaker 1: looking at you, mister drain the swamp and all this stuff.

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Speaker 1: Oh interesting ended up here on the list a lot

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Speaker 1: of twelve late disclosures totally sixty thousand dollars in Stock

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Speaker 1: Act violations. Seems a little swampy to me. I mean

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Speaker 1: every single thing that I'm looking at here. Yeah, they

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Speaker 1: could claim that they have an excuse or oh, I'm

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Speaker 1: sure you know I paid a fine, or oh I

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Speaker 1: disclosed it. In most cases they didn't even respond. You

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Speaker 1: know why because they know nobody's going to care. Right,

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Speaker 1: most people in their district not going to hear about it.

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Speaker 1: Most people in America also not going to hear about it.

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Speaker 1: That was the other thing that really struck me is

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Speaker 1: if it wasn't for Insider doing this deep dive, we

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Speaker 1: wouldn't even know. We would have no idea like who's

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Speaker 1: keeping track? I mean, this stuff is very complicated. People

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Speaker 1: need to understand is that because it's not like it

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Speaker 1: gets fed into a database. They have to compile each

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Speaker 1: individual members data, enter it into a database, then break

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Speaker 1: down the data by state representation all that, then look

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Speaker 1: for late violation, and then ask if they went ahead

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Speaker 1: and paid for it. It's like what I just described

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Speaker 1: to you would take I don't know what ten fifteen people,

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Speaker 1: like months of work. It's a lot of words. The

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Speaker 1: amount of data entry alone would be immense. And yeah,

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Speaker 1: like we wouldn't even know about this now that we do,

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Speaker 1: I mean, is it going to make a real difference?

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Speaker 1: Probably not. I saw a you know, rare for me

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Speaker 1: to defend AOC. But I saw her tweeting about, like, no,

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Speaker 1: I don't own any crypto because I don't think members

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Speaker 1: of Congress should be able to buy like fungible assets

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Speaker 1: while they serve in Congress, And it was like she

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Speaker 1: was getting ridiculed in DC to that idea. I was like, No,

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Speaker 1: that actually a really good idea. Obvious. Yeah, I'm like,

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Speaker 1: that's really principled. I'm like, that's on ironically, a very

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Speaker 1: very good idea. But that tells you a lot that

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Speaker 1: it's just a as far as I know, the only

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Speaker 1: member of Congress who's ever really spoken about it, at

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Speaker 1: least in recent times, and it's not going anywhere. For

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Speaker 1: them to change the law, they'd have to change it themselves.

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Speaker 1: That's the issue. That's another problem. That's another thing that

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Speaker 1: should be changed. We should be the ones, yeah, right,

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Speaker 1: governing the rules that it's sort of different. Yeah, there

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Speaker 1: needs to be some sort of check on Congress itself. Yeah,

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Speaker 1: that's the real issue. I think that is the real issue,

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Speaker 1: one of the real issues. Anyway, Okay, let's give you

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Speaker 1: an update on some of the workings of Congress. Let's

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Speaker 1: go ahead and throw this tear sheet up on the screen.

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Speaker 1: So we haven't talked about the Build Back Better bill

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Speaker 1: in a few days, and so we wanted to give

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Speaker 1: you an update. Although there isn't that much to say.

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Speaker 1: Mansion continues to be the big hold up here, or

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Speaker 1: he's worried about the debt, even though he doesn't seem

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Speaker 1: to worry about the debt when it comes to military

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Speaker 1: spending or any number of other things. But that's one

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Speaker 1: of his excuses. Of course, the inflation numbers are another

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Speaker 1: thing that he keeps pointing to. And so he's really

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Speaker 1: leaving the White House, and you know, Chuck Schumer in

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Speaker 1: the Senate Dems, he's really leaving them in limbo. I

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Speaker 1: don't think even they really know what his game is,

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Speaker 1: what his plans are. If he ever even attends to

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Speaker 1: vote for this thing, he's certainly dragging his heels. So

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Speaker 1: what they said he just met with Biden on Monday afternoon.

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Speaker 1: Manton said he was still engaged in discussions as he

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Speaker 1: left the capital. The key Democratic Cenaer mc cleary was

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Speaker 1: not ready to commit to voting for against a bill

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Speaker 1: Schumer wants actioned by Christmas. No telling whether that is

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Speaker 1: likely to happen. I think it is very unlikely. To happen.

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Speaker 1: So that's kind of where things are. Yeah, I think

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Speaker 1: the most important thing for people to understand is and

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Speaker 1: you know, per that discussion that you said, a lot

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Speaker 1: of people in Washington took notice of this. Joe Manchin

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Speaker 1: was here in DC, the President's in the White House.

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Speaker 1: The President invited him to the White House. Joe Manchin said,

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Speaker 1: let's do a phone call instead. If you want to

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Speaker 1: know how weak Joe Biden is. That's it. Can you

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Speaker 1: imagine Lyndon Baines Johnson allowing some senator to blow him

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Speaker 1: off while you're President of the United States and head

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Speaker 1: of your own party. Manchin knows there's only upside to

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Speaker 1: holding the middle finger up to Joe Biden. Back in

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Speaker 1: the home state of West Virginia and nationally, nobody likes Joe.

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Speaker 1: He's in such a poor position that the swing state

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Speaker 1: senators are doing better off by telling him to screw

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Speaker 1: off in public. That is how weak of a president

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Speaker 1: that we currently have. I mean, I know this type

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Speaker 1: of stuff doesn't seem like it matters, but this is

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Speaker 1: the President of the United States, I means, supposed to

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Speaker 1: be the most powerful person, the leader of the Democratic

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Speaker 1: Party at the very least supposed to have some sway

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Speaker 1: and that's just not the case whatsoever. And that's why

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Speaker 1: Joe Manchin feels like he can do whatever he wants.

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Speaker 1: He's stringing him along. I also got to say, Crystal,

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Speaker 1: he's making those progressives in the House who voted for

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Speaker 1: the infrastructure bill look like absolute idiots. They were like, oh,

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Speaker 1: well tell you, President told me that I have their

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Speaker 1: word for it. I was like, are you are you

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Speaker 1: intentionally stupid? I mean, here's the thing, don't lie. Just

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Speaker 1: say I'm capitulating. It's over. You know, I've decided this

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Speaker 1: is probably the best that we can get, etc. But

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Speaker 1: they're liars, and so that's all that we have. The

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Speaker 1: president is week the House progressives who voted for this

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Speaker 1: thing literally lied to you about why. And Joe Manchin

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Speaker 1: every single time, this is what he was talking about

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Speaker 1: with talking about on Capitol Hill, giving all these reasons

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Speaker 1: not to vote for the bill. My money right now

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Speaker 1: is you probably not going to vote for it. Let's

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Speaker 1: take a listen, and Schumer says December thirty first, maybe

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Speaker 1: December that you'd like to see this or will it

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Speaker 1: be when you all time? I know people have been

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Speaker 1: in a hurry for a long time to do something.

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Speaker 1: But I think basically we're seeing things unfold that allows

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Speaker 1: us to prepare better, and that's what we should do.

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Speaker 1: Take advantage of what we're doing in a very letigitous

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Speaker 1: way of making sure what we do and how we

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Speaker 1: do it, for what period of time we do it

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Speaker 1: is something that we can maintain, manage. My grandfather used

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Speaker 1: to say, unmanaged debt will make a coward out of

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Speaker 1: the decisions you make. And we're now twenty nine sull

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Speaker 1: push you onto thirty trade. And I'm sure that mister

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Speaker 1: Powell with the FEDS that a they're going to make

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Speaker 1: some decisions pretty soon here, and I'm understanding that he

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Speaker 1: is considering the things that we've talked about. Quantitative easy

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Speaker 1: should be reduced or eliminated as quickly as possible. And

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Speaker 1: the interest rates going to affect all of us if

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Speaker 1: he has to increase interest to try to control. What

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Speaker 1: is your message going to be the President, Biden? No,

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Speaker 1: I'm messages. I basically go and have conversations. Whenever the

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Speaker 1: President calls me or wants to visit, We visit and

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Speaker 1: talk genuinely as person to person, as two people that

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Speaker 1: have had the experience of being in the Senate him

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Speaker 1: much longer than me, understanding this process, and being extremely

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Speaker 1: respectful and very friendly. He's been a friend. Kennator Griham

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Speaker 1: said on Friday that in conversations with you, you were done.

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Speaker 1: That was his quote. By this modified CBO report that

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Speaker 1: came out, Is that an accurate Well, I've seen the

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Speaker 1: pen Wharton report, pen Wharton report. We've been working with

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Speaker 1: a lot of different people getting sections of what really

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Speaker 1: was a true figure, and we've seen figures pretty high

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Speaker 1: on that. And then when the CBO came back and

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Speaker 1: confirmed that, yeah, CBO's figure was even a little bit higher,

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Speaker 1: I think it's very sobering. So there's a couple things

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Speaker 1: to dissect there. Number one was that new CBO report.

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Speaker 1: Basically what happened is that John Cornyn, the Senator, put

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Speaker 1: forth and asked the CBO Congressional Budget Office in order

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Speaker 1: to score, and what I mean by score is estimate

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Speaker 1: how much the bill was going to cost if the

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Speaker 1: provisions inside the bill were made permanent, which pushed the

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Speaker 1: price up to three trillion dollars, which was double what

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Speaker 1: the purported price tag is. Obviously, that's set Joe manchin

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Speaker 1: off but I think the truth, as you said, given

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Speaker 1: that the entire Congress just voted for a seven hundred

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Speaker 1: billion dollar defense NDA bill, which is a record defense number,

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Speaker 1: Joe Manson is looking for an excuse not to vote

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Speaker 1: for this thing. And that is what comes out very

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Speaker 1: clearly to me. I mean there's two things here. Sadly,

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Speaker 1: our politics are so just eaten by culture war that

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Speaker 1: the specifics of the bill don't really matter. Yea, even

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Speaker 1: though you know, if you look at the numbers on

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Speaker 1: this provision, that provision whatever, you'll get a majority support

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Speaker 1: in West Virginia. He is politically playing to his interest

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Speaker 1: just by opposing the Democratic president. But details don't matter.

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Speaker 1: I mean, that's what's so sad about how partisan and

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Speaker 1: tribal everything has ultimately become. The news media is total trash,

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Speaker 1: so they don't educate anybody about what's actually in these bills,

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Speaker 1: what's at stake any of that. The Democratic Party is

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Speaker 1: total trash, so they fixated on the top line number

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Speaker 1: versus what any of these programs ultimately mean, and so

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Speaker 1: then it just becomes like a who side are you on?

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Speaker 1: Kind of a game. And the other thing here is obvious,

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Speaker 1: which is that mansion is serving his donor's interests, which

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Speaker 1: is what his primary goal and concern is, and he's

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Speaker 1: able to couch it in this loan. I'm concerned about

428
00:22:48,440 --> 00:22:52,480
Speaker 1: the deficit, I'm concerned about the inflation, etc. Etc. And

429
00:22:52,600 --> 00:22:54,879
Speaker 1: to your point about progressives, it was always clear what

430
00:22:54,920 --> 00:22:56,600
Speaker 1: the game was going to be because it was always

431
00:22:56,640 --> 00:22:58,639
Speaker 1: contingent on like, oh, and we'll see what the CBO

432
00:22:58,720 --> 00:23:02,080
Speaker 1: score is. From the beginning, there was never any like, oh,

433
00:23:02,119 --> 00:23:03,919
Speaker 1: one hundred percent, we're gonna be on board with you,

434
00:23:04,000 --> 00:23:06,880
Speaker 1: So they always had given themselves an out of if

435
00:23:06,920 --> 00:23:09,320
Speaker 1: the CBO score comes in some way that we don't like,

436
00:23:09,480 --> 00:23:12,240
Speaker 1: which you have no control over, then ah, we don't

437
00:23:12,240 --> 00:23:14,399
Speaker 1: know if we can ultimately vote for this thing. What

438
00:23:14,720 --> 00:23:19,440
Speaker 1: really happened, the reason that progressives totally folded and capitulated

439
00:23:19,480 --> 00:23:24,120
Speaker 1: from their original position was because Gwennyonkin want in Virginia

440
00:23:24,640 --> 00:23:27,000
Speaker 1: and there was starting to be all this like, you know,

441
00:23:27,080 --> 00:23:30,320
Speaker 1: the media was moving to blame progressives for actually holding

442
00:23:30,359 --> 00:23:32,680
Speaker 1: the line on this thing, and as they always do,

443
00:23:32,840 --> 00:23:35,040
Speaker 1: they freaked out. They panicked. And that's where we are

444
00:23:35,119 --> 00:23:38,600
Speaker 1: because God forbid that, you know, Wolf Blitzer says something

445
00:23:38,640 --> 00:23:42,040
Speaker 1: critical of you. It's really really sad and pathetic. And

446
00:23:42,080 --> 00:23:44,040
Speaker 1: the other thing that sad and pathetic is I can't

447
00:23:44,080 --> 00:23:45,960
Speaker 1: even get that upset about it at this point because

448
00:23:46,000 --> 00:23:47,880
Speaker 1: there's not that much left in this thing to get

449
00:23:47,880 --> 00:23:50,720
Speaker 1: that upset about. I mean, even the one thing that

450
00:23:50,760 --> 00:23:52,639
Speaker 1: I was sort of like, Okay, well, this is a

451
00:23:53,000 --> 00:23:55,320
Speaker 1: this is a major step forward, the universal pre K.

452
00:23:55,880 --> 00:23:59,480
Speaker 1: It's anything but as Matt Brunan and others have dug

453
00:23:59,480 --> 00:24:02,040
Speaker 1: into the number. First of all, states can knopt down

454
00:24:02,040 --> 00:24:04,560
Speaker 1: of it, and many of them will will, and even

455
00:24:04,680 --> 00:24:07,200
Speaker 1: some Blue states are not sure that they're going to

456
00:24:07,240 --> 00:24:12,080
Speaker 1: take up the program because Oregon, because the funding is

457
00:24:12,160 --> 00:24:15,919
Speaker 1: so insufficient, and it's also just the funding mechanism is

458
00:24:16,080 --> 00:24:19,200
Speaker 1: really weird and strange and insufficient. So even some Blue

459
00:24:19,240 --> 00:24:21,479
Speaker 1: states are saying, I'm not sure we're on board with this.

460
00:24:21,800 --> 00:24:24,439
Speaker 1: The idea that this is universal pre K is a

461
00:24:24,480 --> 00:24:27,840
Speaker 1: complete farce. And then when you represent it as universal

462
00:24:27,920 --> 00:24:30,719
Speaker 1: pre K to the public and then it doesn't end

463
00:24:30,800 --> 00:24:33,360
Speaker 1: up being universal pre K, how do you think that's

464
00:24:33,400 --> 00:24:37,080
Speaker 1: going to go? So listen, as we said from the beginning,

465
00:24:37,400 --> 00:24:40,400
Speaker 1: Joe Mansion is a corrupt pain in the ass. Kirsten

466
00:24:40,480 --> 00:24:43,359
Speaker 1: Cinema is a corrupt pain in the ass. But Joe

467
00:24:43,359 --> 00:24:46,080
Speaker 1: Biden owns this because he could have come out of

468
00:24:46,119 --> 00:24:49,639
Speaker 1: the gates at the beginning when there was a major

469
00:24:49,680 --> 00:24:53,520
Speaker 1: political pressure in places like West Virginia and everywhere across

470
00:24:53,600 --> 00:24:56,480
Speaker 1: the country to get something done to deliver during the

471
00:24:56,520 --> 00:25:01,160
Speaker 1: pandemic some additional relief. He could have put major agenda

472
00:25:01,240 --> 00:25:04,200
Speaker 1: items on the table then and there. That was mistake

473
00:25:04,280 --> 00:25:07,880
Speaker 1: number one. Mistake number two was thinking that it mattered

474
00:25:08,080 --> 00:25:11,320
Speaker 1: to anyone outside of the Beltway whether you had a

475
00:25:11,320 --> 00:25:15,440
Speaker 1: few Biparson votes on the infrastructure deal or not. Everything

476
00:25:15,520 --> 00:25:19,600
Speaker 1: got bogged down once they separated these pieces out and

477
00:25:19,720 --> 00:25:22,920
Speaker 1: Mansin got what he want. He wanted the infrastructure deal

478
00:25:22,960 --> 00:25:25,480
Speaker 1: because the donor class wants that. He got that part.

479
00:25:25,800 --> 00:25:28,600
Speaker 1: So now what incentive does he have to play ball?

480
00:25:29,119 --> 00:25:32,600
Speaker 1: He holds all the cards and the Biden administration deserves

481
00:25:32,600 --> 00:25:34,920
Speaker 1: whatever they get. No, they absolutely do. It's their fault.

482
00:25:34,920 --> 00:25:37,159
Speaker 1: And just to show you how big of morons that

483
00:25:37,200 --> 00:25:39,560
Speaker 1: they are, guess who they sent to New Hampshire in

484
00:25:39,680 --> 00:25:42,080
Speaker 1: order to go sell this. Put this up there on

485
00:25:42,119 --> 00:25:45,199
Speaker 1: the screen. Buddhage Edge is in New Hampshire Monday to

486
00:25:45,640 --> 00:25:50,000
Speaker 1: cheer Manchester's development grant and commuter rail potential. That's in

487
00:25:50,119 --> 00:25:52,760
Speaker 1: order to hail the bipartisan infrastructure bill, but he was

488
00:25:52,800 --> 00:25:55,000
Speaker 1: also there to lobby for the Build Back Better bill.

489
00:25:55,240 --> 00:25:57,639
Speaker 1: There's just one problem though. Let's put the next one

490
00:25:57,720 --> 00:26:00,720
Speaker 1: up there on the screen, please, which is that uh

491
00:26:00,840 --> 00:26:03,920
Speaker 1: in the state of New Hampshire. Yeah, New New Hampshire.

492
00:26:03,920 --> 00:26:06,359
Speaker 1: New Journal poll finds Biden and the Build Back Better

493
00:26:06,600 --> 00:26:09,800
Speaker 1: bill underwater with the Granite state voter. She's hit this

494
00:26:09,880 --> 00:26:13,760
Speaker 1: thing language. I mean, up until very recently, the Build

495
00:26:13,800 --> 00:26:16,880
Speaker 1: Back Better poll actually very well. Then Infrastructure deal pulled well,

496
00:26:17,160 --> 00:26:20,479
Speaker 1: Build Back Better polled very well. But as they've allowed

497
00:26:20,480 --> 00:26:23,960
Speaker 1: it to languish and face attacks, and as his approval

498
00:26:24,000 --> 00:26:26,160
Speaker 1: rating has gone down, although it actually has ticked back

499
00:26:26,200 --> 00:26:28,800
Speaker 1: up a couple points here in the last couple of days,

500
00:26:29,200 --> 00:26:33,200
Speaker 1: but the whole program has suffered. Yeah, and his chat,

501
00:26:33,280 --> 00:26:35,560
Speaker 1: it's all Joe Biden's fault. Like I said, he's so

502
00:26:35,640 --> 00:26:38,280
Speaker 1: weak he can't get center in order to come visit

503
00:26:38,359 --> 00:26:40,639
Speaker 1: him at the White House. I really can't get over that.

504
00:26:40,720 --> 00:26:43,000
Speaker 1: I mean, that is just the pinnacle of showing that

505
00:26:43,040 --> 00:26:47,040
Speaker 1: you have zero that's like lame duck level, you know,

506
00:26:47,160 --> 00:26:49,440
Speaker 1: inability here in Washington. The next mansion is going to

507
00:26:49,480 --> 00:26:54,320
Speaker 1: force him to like write, come to Congress or something on. Ironically,

508
00:26:54,359 --> 00:26:56,280
Speaker 1: that might actually happen. You know, he's going to a

509
00:26:56,359 --> 00:26:58,760
Speaker 1: bag on his knees on the house boat mansion. Still

510
00:26:58,800 --> 00:27:01,560
Speaker 1: problem with a thing, and at this point he's probably

511
00:27:01,560 --> 00:27:03,720
Speaker 1: doing the political favor. I mean, nobody's going to care

512
00:27:03,960 --> 00:27:06,239
Speaker 1: if this thing passes. And it may sound callous, yes,

513
00:27:06,280 --> 00:27:08,399
Speaker 1: there may be elements in there that you like or not,

514
00:27:08,520 --> 00:27:10,960
Speaker 1: but look, I've watched this thing. It's a political dog.

515
00:27:11,080 --> 00:27:14,840
Speaker 1: It's probably as bad as Obamacare. Obamacare at least had

516
00:27:14,840 --> 00:27:17,560
Speaker 1: the pre existing conditions thing. This doesn't even have close

517
00:27:17,600 --> 00:27:20,160
Speaker 1: to the same type of popular provision within it. And

518
00:27:20,600 --> 00:27:23,800
Speaker 1: you know, the Democrats in particular, Biden in particular, sank

519
00:27:23,840 --> 00:27:26,720
Speaker 1: the whole country over the last couple of months. I

520
00:27:26,760 --> 00:27:29,680
Speaker 1: don't really see. I honestly don't think politically it matters

521
00:27:29,720 --> 00:27:31,359
Speaker 1: that much one way or the other. Weather it passed,

522
00:27:31,480 --> 00:27:33,800
Speaker 1: you might be right, yeah, I mean, listen, there's some

523
00:27:33,880 --> 00:27:37,000
Speaker 1: investment in climate change, there's some investment in preschool, there's

524
00:27:37,000 --> 00:27:40,480
Speaker 1: some investment in childcare. There are some marginal increases here

525
00:27:40,560 --> 00:27:43,600
Speaker 1: that are better than the state of you know, the

526
00:27:43,680 --> 00:27:46,600
Speaker 1: status quo. But is anyone really going to notice. Is

527
00:27:46,640 --> 00:27:49,280
Speaker 1: this going to be a game changer in terms of them? No,

528
00:27:49,320 --> 00:27:51,960
Speaker 1: not really. You know, I heard it put it this way.

529
00:27:52,000 --> 00:27:53,760
Speaker 1: They would have been better off going all in on

530
00:27:53,800 --> 00:27:56,240
Speaker 1: a single program for the same price tag, but because

531
00:27:56,320 --> 00:27:58,960
Speaker 1: they had to do reconciliation and please a bunch of

532
00:27:58,960 --> 00:28:01,760
Speaker 1: different coalitions interest groups, than what they ended up doing

533
00:28:01,840 --> 00:28:04,600
Speaker 1: is half ass measures across the board on everything. So

534
00:28:04,680 --> 00:28:07,080
Speaker 1: now nobody can point to a single thing like I

535
00:28:07,119 --> 00:28:09,359
Speaker 1: just did with Obamacare and say, well, at least it

536
00:28:09,359 --> 00:28:11,760
Speaker 1: has that one thing. It's like, no, this part expires,

537
00:28:11,960 --> 00:28:14,399
Speaker 1: that part expires. This is block grants to the states,

538
00:28:14,400 --> 00:28:16,120
Speaker 1: what they can opt in and out of. This could

539
00:28:16,160 --> 00:28:18,879
Speaker 1: actually make things more expensive. This has this part, but

540
00:28:18,960 --> 00:28:21,840
Speaker 1: it only applies. You know, this isn't Your eyes are

541
00:28:21,840 --> 00:28:23,480
Speaker 1: going to glaze over, and they should because it's just

542
00:28:23,480 --> 00:28:27,760
Speaker 1: so much bs. It's perfect. Actually, this is the perfect

543
00:28:27,800 --> 00:28:31,560
Speaker 1: example of what happens in Washington whenever you try to

544
00:28:31,600 --> 00:28:34,040
Speaker 1: do some things on a single up or down vote,

545
00:28:34,160 --> 00:28:37,199
Speaker 1: they just completely crash. And let me also say, I

546
00:28:37,240 --> 00:28:41,360
Speaker 1: mean part of that failure was deciding not to do

547
00:28:41,400 --> 00:28:45,280
Speaker 1: anything about the filibuster that forces them into the reconciliation process.

548
00:28:45,480 --> 00:28:51,440
Speaker 1: So that's another tactical strategic error. That's incredibly significant. But

549
00:28:51,480 --> 00:28:53,720
Speaker 1: the other thing I would say is, you know, these

550
00:28:53,760 --> 00:28:57,880
Speaker 1: people talk about existential threats to the country, existential threats

551
00:28:57,960 --> 00:29:00,760
Speaker 1: to the planet, and then they just dither. I mean,

552
00:29:00,800 --> 00:29:05,160
Speaker 1: they do not come even close to acting like there

553
00:29:05,200 --> 00:29:11,120
Speaker 1: are actual real challenges, let alone existential threats. And I

554
00:29:11,160 --> 00:29:14,520
Speaker 1: think that's you know, it's very obvious that they didn't

555
00:29:14,520 --> 00:29:17,200
Speaker 1: mean what they said when they were talking about those things. Yeah,

556
00:29:17,280 --> 00:29:22,160
Speaker 1: if you won't real proof there, it is. Okay, let's

557
00:29:22,160 --> 00:29:25,600
Speaker 1: move on to something which has been completely unexplored and

558
00:29:25,680 --> 00:29:27,600
Speaker 1: I did not even know. Wanted to make sure that

559
00:29:27,640 --> 00:29:29,880
Speaker 1: we went ahead and highlighted it to all of you.

560
00:29:29,960 --> 00:29:32,840
Speaker 1: We're obviously talking right now about the great resignation, about

561
00:29:33,080 --> 00:29:35,840
Speaker 1: how there is a labor shortage, about many people who

562
00:29:35,840 --> 00:29:37,920
Speaker 1: decided to drop out of the workforce for good in

563
00:29:37,960 --> 00:29:39,920
Speaker 1: many cases for good reasons, and want to spend more

564
00:29:39,960 --> 00:29:43,480
Speaker 1: time with their children, they wanted to pursue early retirement,

565
00:29:43,760 --> 00:29:47,560
Speaker 1: career change, education. Those are all great, fantastic things, even

566
00:29:47,560 --> 00:29:49,080
Speaker 1: if it means that we're going to have to deal

567
00:29:49,080 --> 00:29:51,440
Speaker 1: with some crunch in the short term. But some of

568
00:29:51,480 --> 00:29:54,640
Speaker 1: it is a big health problem, and there's some new data.

569
00:29:54,720 --> 00:29:56,760
Speaker 1: It actually shows us that, let's put this up there

570
00:29:57,080 --> 00:30:00,120
Speaker 1: on the screen, which is that a new survey actually

571
00:30:00,160 --> 00:30:02,640
Speaker 1: from McKinsey of all places. So it's not like, you know,

572
00:30:02,720 --> 00:30:05,200
Speaker 1: they wanted this to be, but they did a big

573
00:30:05,280 --> 00:30:08,240
Speaker 1: survey of workers and decided why I'd ask them, why

574
00:30:08,240 --> 00:30:12,000
Speaker 1: are you not working? Half of the currently unemployed Americans

575
00:30:12,280 --> 00:30:15,520
Speaker 1: say that health issues are the primary reason that they're

576
00:30:15,560 --> 00:30:18,240
Speaker 1: not working. So you got to drive even deeper into

577
00:30:18,280 --> 00:30:22,280
Speaker 1: what that means. So it's not just physical health, it's

578
00:30:22,280 --> 00:30:26,680
Speaker 1: physical health and mental health. Mental health problems in particular

579
00:30:27,000 --> 00:30:31,800
Speaker 1: have reached quote epidemic proportions. So the latest American Opportunity

580
00:30:31,880 --> 00:30:35,520
Speaker 1: Survey actually found that thirty seven percent of people been

581
00:30:35,560 --> 00:30:39,160
Speaker 1: diagnosed with mental health issues or sought treatment for their

582
00:30:39,160 --> 00:30:42,680
Speaker 1: mental health. Now, in between that, though, the survey also

583
00:30:42,760 --> 00:30:46,640
Speaker 1: found that sixteen percent of the people there were unemployed,

584
00:30:47,000 --> 00:30:50,479
Speaker 1: nine percent were looking for work, seven percent not looking.

585
00:30:50,760 --> 00:30:54,440
Speaker 1: That's actually way higher than the general population, which has

586
00:30:54,440 --> 00:30:57,800
Speaker 1: an unemployment rate of four point two percent. Now, go

587
00:30:57,880 --> 00:31:01,560
Speaker 1: even deeper into why people are on Floyd health is

588
00:31:01,640 --> 00:31:05,280
Speaker 1: the number one reason out of all because they're not working.

589
00:31:05,600 --> 00:31:08,760
Speaker 1: Thirty percent said that they're not working because of their

590
00:31:08,800 --> 00:31:12,200
Speaker 1: physical health. Fifteen percent said that it wasn't that it

591
00:31:12,240 --> 00:31:14,760
Speaker 1: was because of their mental health. You add that together,

592
00:31:14,960 --> 00:31:18,400
Speaker 1: that means forty five percent say that they're not looking

593
00:31:18,400 --> 00:31:21,960
Speaker 1: for work, particularly because of their health. You break it

594
00:31:22,000 --> 00:31:24,760
Speaker 1: down even more and you find that when you've got

595
00:31:24,840 --> 00:31:28,560
Speaker 1: nine million jobs lower than the pre tandic trend, and

596
00:31:28,640 --> 00:31:32,040
Speaker 1: only fifty nine percent of Americans are employed. That's down

597
00:31:32,360 --> 00:31:35,960
Speaker 1: from sixty one percent during the pre pandemic. And there

598
00:31:36,000 --> 00:31:38,600
Speaker 1: was actually a high of sixty four sixty five percent

599
00:31:38,640 --> 00:31:41,120
Speaker 1: almost in the year two thousand. So when you have

600
00:31:41,200 --> 00:31:44,640
Speaker 1: a six percent drop like that in the labor force, Yes,

601
00:31:44,920 --> 00:31:47,480
Speaker 1: some of it is age, you know, the boomers getting older,

602
00:31:47,720 --> 00:31:50,480
Speaker 1: nearing the retirement, but the whole point was they were

603
00:31:50,520 --> 00:31:52,440
Speaker 1: supposed to have enough young people to be able to

604
00:31:52,560 --> 00:31:56,520
Speaker 1: enter the workforce. Now we're seeing that this major health crisis,

605
00:31:56,760 --> 00:31:59,840
Speaker 1: mental health crisis as well as general health crisis, is

606
00:32:00,320 --> 00:32:03,120
Speaker 1: the conditions where a lot of people can't work. And

607
00:32:03,480 --> 00:32:05,600
Speaker 1: I think the worst part of all of this is

608
00:32:05,640 --> 00:32:09,360
Speaker 1: it's not like the pandemic made us more healthy. I mean, yes,

609
00:32:09,560 --> 00:32:11,640
Speaker 1: obviously that seems to be the case when you have

610
00:32:11,680 --> 00:32:14,760
Speaker 1: a respiratory viral infection, like when we have COVID, but

611
00:32:15,320 --> 00:32:17,920
Speaker 1: we also see that the conditions through which we've handled

612
00:32:17,920 --> 00:32:21,280
Speaker 1: this have made people a lot unhealthier. And I was

613
00:32:21,360 --> 00:32:24,080
Speaker 1: really struck by Washington Post piece. Let's put it up

614
00:32:24,120 --> 00:32:27,680
Speaker 1: there on the screen. Over half of young adults right

615
00:32:27,720 --> 00:32:31,520
Speaker 1: now are obese or overweight. So more than half of

616
00:32:32,000 --> 00:32:35,200
Speaker 1: fifty six percent of people between eighteen to twenty five

617
00:32:35,480 --> 00:32:38,960
Speaker 1: are overweight or obese. If you look at the data

618
00:32:39,000 --> 00:32:42,720
Speaker 1: from a nationally representative sample the average weights over the

619
00:32:42,760 --> 00:32:48,000
Speaker 1: past four decades, the population's average BMI has increased by

620
00:32:48,160 --> 00:32:52,280
Speaker 1: four point six points from twenty three, which is considered

621
00:32:52,320 --> 00:32:55,520
Speaker 1: a normal weight, to twenty seven point seven, which is

622
00:32:55,560 --> 00:32:59,400
Speaker 1: considered overweight. That means the median average American right now

623
00:32:59,640 --> 00:33:02,600
Speaker 1: is weight, and that if you shift the number of

624
00:33:02,680 --> 00:33:06,880
Speaker 1: overweight adults has gone up eighteen percent from the late

625
00:33:06,960 --> 00:33:11,720
Speaker 1: nineteen seventies to twenty four percent by twenty eighteen. So

626
00:33:11,920 --> 00:33:15,160
Speaker 1: the biggest spike in weight measurements right now, and this

627
00:33:15,240 --> 00:33:17,360
Speaker 1: is a much more recent phenomenon in the last couple

628
00:33:17,400 --> 00:33:20,480
Speaker 1: of years, is actually the prevalence in obesity. It used

629
00:33:20,480 --> 00:33:23,480
Speaker 1: to be that people were overnate and not obese, but

630
00:33:23,600 --> 00:33:26,560
Speaker 1: now we actually have a large percentage of young adults

631
00:33:26,600 --> 00:33:29,560
Speaker 1: even who are overweight, who are not just overweight but

632
00:33:29,680 --> 00:33:34,440
Speaker 1: are clinically obese, and obesity in COVID in particular. There's

633
00:33:34,440 --> 00:33:36,480
Speaker 1: a new study that just came out which shows that

634
00:33:36,560 --> 00:33:41,360
Speaker 1: COVID actually particularly attacks the fat cells in your body,

635
00:33:41,560 --> 00:33:44,080
Speaker 1: which makes it so that if you're obese, it can

636
00:33:44,160 --> 00:33:45,800
Speaker 1: actually make it so that you're gonna have a much

637
00:33:45,840 --> 00:33:49,719
Speaker 1: more severe reaction to COVID, not just because you're generally

638
00:33:49,760 --> 00:33:54,960
Speaker 1: mora unhealthy on basically every single metric, but because also

639
00:33:55,440 --> 00:33:58,960
Speaker 1: the actual fat cells within your body are harboring the

640
00:33:59,040 --> 00:34:01,719
Speaker 1: virus and making it more or virulent within you. So

641
00:34:01,880 --> 00:34:04,080
Speaker 1: that's one reason, you know, in order to look at

642
00:34:04,120 --> 00:34:05,880
Speaker 1: your health. But let me tell you guys something. I'll

643
00:34:05,920 --> 00:34:08,560
Speaker 1: you know, personal information. I just got my blood work

644
00:34:08,640 --> 00:34:11,920
Speaker 1: done and all of that and pretty much all of

645
00:34:11,960 --> 00:34:15,000
Speaker 1: the bad things in there are solved by losing weight.

646
00:34:15,040 --> 00:34:17,080
Speaker 1: I was like, all right, Doc, like, do I need

647
00:34:17,120 --> 00:34:20,120
Speaker 1: to change my diet? You know you would like He's like, listen,

648
00:34:20,280 --> 00:34:22,759
Speaker 1: lose fifteen pounds and you're good. Like that's it. It's

649
00:34:22,800 --> 00:34:25,719
Speaker 1: one of the most general health markers that can have

650
00:34:26,040 --> 00:34:27,799
Speaker 1: one of the most general best things you can do

651
00:34:27,840 --> 00:34:30,640
Speaker 1: in your life. Is reduce the amount of fat that

652
00:34:30,719 --> 00:34:33,319
Speaker 1: you have on your body and exercise more. It's a

653
00:34:33,320 --> 00:34:36,799
Speaker 1: literal miracle. Drug declines in all cause mortality, you know,

654
00:34:36,840 --> 00:34:40,600
Speaker 1: for exercise, for aerobic even weight training, strength training, all

655
00:34:40,640 --> 00:34:42,160
Speaker 1: of that. But I don't know, I think it's a

656
00:34:42,239 --> 00:34:44,440
Speaker 1: very important message right now, Crystal. We have a huge

657
00:34:44,440 --> 00:34:46,640
Speaker 1: problem right now with a labor force, so obviously it

658
00:34:46,680 --> 00:34:49,319
Speaker 1: has economic problems, but I don't even want to think

659
00:34:49,360 --> 00:34:52,360
Speaker 1: about it in that perspective. Look, being obese and overweight,

660
00:34:52,400 --> 00:34:54,480
Speaker 1: it is going to cost you years on your life.

661
00:34:54,600 --> 00:34:57,560
Speaker 1: It will cost you mental health, physical health, it will

662
00:34:57,560 --> 00:34:59,680
Speaker 1: make you feel worse, all of that. I just can't

663
00:34:59,719 --> 00:35:02,279
Speaker 1: a size it enough. With these lockdowns, you know, we

664
00:35:02,360 --> 00:35:06,879
Speaker 1: have seen young adults and even children childhood obesity go up.

665
00:35:07,120 --> 00:35:09,560
Speaker 1: Now we have the numbers for young adults and more.

666
00:35:09,600 --> 00:35:11,560
Speaker 1: We're setting ourselves up for a real disaster in the

667
00:35:11,600 --> 00:35:14,200
Speaker 1: coming years. Yeah. I mean you have the cost of

668
00:35:14,239 --> 00:35:17,720
Speaker 1: the lockdowns which impacted people's health in a certain way

669
00:35:18,239 --> 00:35:22,400
Speaker 1: with weight gain, with the severe stress and mental health

670
00:35:22,440 --> 00:35:26,920
Speaker 1: issues that have particularly also impacted young people. I remember

671
00:35:26,920 --> 00:35:29,960
Speaker 1: we looked at something recently with very high numbers of

672
00:35:30,000 --> 00:35:33,280
Speaker 1: young people who had had recurring thoughts of harming themselves

673
00:35:33,360 --> 00:35:36,600
Speaker 1: that said they were suffering from stress and anxiety. And

674
00:35:36,640 --> 00:35:39,160
Speaker 1: then of course you couple that with the pandemic itself,

675
00:35:39,480 --> 00:35:43,000
Speaker 1: which costs lives and compromised health and made a lot

676
00:35:43,000 --> 00:35:45,040
Speaker 1: of people sick in a way that they're still dealing

677
00:35:45,040 --> 00:35:48,640
Speaker 1: with and still recovering from. It's just a really sad

678
00:35:48,680 --> 00:35:51,440
Speaker 1: state of affairs when you look at these basic metrics

679
00:35:51,440 --> 00:35:54,560
Speaker 1: of how a society is doing, and it becomes clear

680
00:35:54,880 --> 00:36:00,960
Speaker 1: how sick, both literally and metaphorically the country. Ultimately, that's

681
00:36:00,960 --> 00:36:02,640
Speaker 1: one of the things we've tracked for a long time

682
00:36:02,680 --> 00:36:07,000
Speaker 1: with declining, with the way that mortality is declining, I mean,

683
00:36:07,360 --> 00:36:11,680
Speaker 1: how long people live. It's the most basic measure of

684
00:36:11,719 --> 00:36:15,719
Speaker 1: how a society is doing. And we're deeply sick. I

685
00:36:15,800 --> 00:36:18,200
Speaker 1: mean one of the things that I you know, it's

686
00:36:18,200 --> 00:36:20,920
Speaker 1: always a balance because obviously people have agency and choice,

687
00:36:20,920 --> 00:36:24,000
Speaker 1: and they can make different choices in their lives, improve

688
00:36:24,040 --> 00:36:27,000
Speaker 1: their health, improve their fitness. You work very, very hard

689
00:36:27,000 --> 00:36:28,759
Speaker 1: at that. I work a lot less hard at that,

690
00:36:29,160 --> 00:36:33,680
Speaker 1: but you also have to look at society wide trends

691
00:36:33,880 --> 00:36:37,560
Speaker 1: and say, this is a social This is not just like,

692
00:36:37,920 --> 00:36:41,760
Speaker 1: you know, shaming this individual person because they're not doing

693
00:36:41,960 --> 00:36:46,239
Speaker 1: X or Y or Z. This is a massive society

694
00:36:46,280 --> 00:36:50,040
Speaker 1: wide issue that results from a whole host of factors.

695
00:36:50,040 --> 00:36:52,160
Speaker 1: I mean, it results from the fact that that so

696
00:36:52,239 --> 00:36:55,719
Speaker 1: many people don't have good healthcare that they're not able

697
00:36:55,719 --> 00:36:57,279
Speaker 1: to go to the doctor. Results from the fact that

698
00:36:57,360 --> 00:37:01,200
Speaker 1: you have a for profit healthcare system that where they're incentive,

699
00:37:01,600 --> 00:37:05,160
Speaker 1: they're incentive, they make money off of people being chronically ill.

700
00:37:05,560 --> 00:37:08,799
Speaker 1: And so we shouldn't be surprised when that's exactly what

701
00:37:08,840 --> 00:37:12,160
Speaker 1: we end up with, a population that is chronically ill

702
00:37:12,600 --> 00:37:16,399
Speaker 1: and highly profitable to an industry that doesn't actually want

703
00:37:16,400 --> 00:37:18,640
Speaker 1: them to be well and healthy, wants them to be

704
00:37:19,239 --> 00:37:22,200
Speaker 1: sick but continue to live so they can continue to

705
00:37:22,400 --> 00:37:24,759
Speaker 1: you know, get their reimbursement rates as you're coming in

706
00:37:24,920 --> 00:37:28,360
Speaker 1: for care. So you have those incentives. You have the

707
00:37:28,440 --> 00:37:33,000
Speaker 1: way that big food has, you know, made the worst

708
00:37:33,360 --> 00:37:39,759
Speaker 1: things we could consume extraordinarily affordable and extraordinarily available. Our government,

709
00:37:39,880 --> 00:37:43,200
Speaker 1: through subsidies of corn in particular, you know, helps to

710
00:37:43,239 --> 00:37:48,000
Speaker 1: create that situation. We have cities and lifestyles that cater

711
00:37:48,120 --> 00:37:50,680
Speaker 1: to everybody just being in their car driving around and

712
00:37:50,719 --> 00:37:53,680
Speaker 1: not walking and moving their bodies in any of those things.

713
00:37:54,160 --> 00:37:57,640
Speaker 1: And so when you add all of those pieces together

714
00:37:58,280 --> 00:38:00,920
Speaker 1: and you compare us to you know, our peers in

715
00:38:00,960 --> 00:38:06,320
Speaker 1: the developed world. We have worse outcomes on almost every metric,

716
00:38:06,840 --> 00:38:09,520
Speaker 1: and it's because all of those pieces coming together, and

717
00:38:09,560 --> 00:38:11,359
Speaker 1: then you put the pandemic on top of it, and

718
00:38:11,400 --> 00:38:15,239
Speaker 1: it's just a really terrible and explosive combination. It's not

719
00:38:15,280 --> 00:38:17,800
Speaker 1: my intention whatsoever to shame anybody out there. I've struggled

720
00:38:17,800 --> 00:38:19,840
Speaker 1: with my weight since I was literally like a small child,

721
00:38:19,880 --> 00:38:22,160
Speaker 1: So like, listen, if you're out there, I've also fallen

722
00:38:22,200 --> 00:38:25,520
Speaker 1: for all the scams tried it. It never works. Really,

723
00:38:25,560 --> 00:38:28,799
Speaker 1: what it is is that the probably best way that

724
00:38:28,880 --> 00:38:30,719
Speaker 1: this is going to work is, like you said, is

725
00:38:30,800 --> 00:38:35,719
Speaker 1: designing and creating entire new systems and environments for yourselves. Unfortunately,

726
00:38:35,960 --> 00:38:38,640
Speaker 1: that's the hardest part. And look, I have the luxury

727
00:38:38,680 --> 00:38:41,440
Speaker 1: of being able to do that. Most people are so

728
00:38:41,520 --> 00:38:45,200
Speaker 1: bogged down in the ability to just provide food for

729
00:38:45,280 --> 00:38:49,000
Speaker 1: your kids or yourself. They do not have that ability.

730
00:38:49,120 --> 00:38:53,480
Speaker 1: I do not blame them whatsoever, because it is very convenient,

731
00:38:53,719 --> 00:38:56,880
Speaker 1: very cheap. All the incentives and structures are designed to

732
00:38:56,960 --> 00:39:00,840
Speaker 1: push you both towards activities and towards food, and towards

733
00:39:00,920 --> 00:39:04,120
Speaker 1: you know many other things in lifestyle which are terrible

734
00:39:04,120 --> 00:39:06,879
Speaker 1: for you, and actually, in many cases, the short term

735
00:39:06,880 --> 00:39:10,440
Speaker 1: reward that you get is an engaging and unhealthy behavior,

736
00:39:10,719 --> 00:39:13,520
Speaker 1: not the opposite. Same with medicine, because we have a

737
00:39:13,560 --> 00:39:16,279
Speaker 1: medical system right now in which you know, it's very

738
00:39:16,320 --> 00:39:18,720
Speaker 1: expensive for most people who go and visit the doctor,

739
00:39:18,920 --> 00:39:21,720
Speaker 1: they don't visit the doctor. They only go whenever something

740
00:39:21,760 --> 00:39:24,600
Speaker 1: is catastrophically wrong. You know, I learned this whenever I

741
00:39:24,640 --> 00:39:26,360
Speaker 1: got injured. By the time you have to go in

742
00:39:26,400 --> 00:39:29,520
Speaker 1: there for injury, you've been screwing up for months, if

743
00:39:29,560 --> 00:39:33,319
Speaker 1: not years. You could if you have regular checkups and

744
00:39:33,560 --> 00:39:35,440
Speaker 1: you know all of that, which is what a lot

745
00:39:35,440 --> 00:39:38,040
Speaker 1: of rich people do, is then they're like, hey, this

746
00:39:38,080 --> 00:39:40,279
Speaker 1: could become a problem three to five years from now.

747
00:39:40,920 --> 00:39:43,399
Speaker 1: Let's put you on a protocol right now in order

748
00:39:43,440 --> 00:39:45,719
Speaker 1: to make sure that you do this correctly. Or oh,

749
00:39:45,800 --> 00:39:48,279
Speaker 1: you know you're insulin you know right now, let's make

750
00:39:48,320 --> 00:39:49,759
Speaker 1: sure that you start eating right now. Is you don't

751
00:39:49,800 --> 00:39:52,560
Speaker 1: develop diabetes like twenty years from now. But most people

752
00:39:52,640 --> 00:39:55,480
Speaker 1: have no ability in order to have any of that.

753
00:39:55,640 --> 00:39:58,000
Speaker 1: So all of this is obviously just to say, look,

754
00:39:58,080 --> 00:40:01,560
Speaker 1: we can't change the system right now. You can change

755
00:40:02,040 --> 00:40:06,480
Speaker 1: some limited parts of yourself. I would really encourage anybody's

756
00:40:06,320 --> 00:40:08,399
Speaker 1: look the New Year's you know, resolution all that time,

757
00:40:08,440 --> 00:40:11,640
Speaker 1: it's always a good time. It's just this is a dire,

758
00:40:11,760 --> 00:40:15,240
Speaker 1: dire situation, especially with COVID. But it's not just COVID.

759
00:40:15,280 --> 00:40:18,200
Speaker 1: It's all cause mortality. It's cancer, it's about you know,

760
00:40:18,560 --> 00:40:21,960
Speaker 1: it's it's from cancer, heart disease. Uh, you know when

761
00:40:22,000 --> 00:40:24,279
Speaker 1: you're old following you know, I didn't know this. One

762
00:40:24,280 --> 00:40:28,720
Speaker 1: of the most highly correlated things for whenever you whenever

763
00:40:28,880 --> 00:40:31,600
Speaker 1: old age and you die is grip strength. And it's

764
00:40:31,600 --> 00:40:33,800
Speaker 1: because if you don't lift weights, or if you don't

765
00:40:34,040 --> 00:40:36,120
Speaker 1: you know, go out there and really exercise and you

766
00:40:36,160 --> 00:40:38,680
Speaker 1: don't have grip strength, then if you fall when you're old,

767
00:40:38,760 --> 00:40:41,800
Speaker 1: it can actually be really deadly. So having that ability

768
00:40:41,880 --> 00:40:46,080
Speaker 1: declining and waiting off osteoporosis, a lot of these types

769
00:40:46,120 --> 00:40:49,000
Speaker 1: of things, this can have long cause effects. It's not

770
00:40:49,080 --> 00:40:50,799
Speaker 1: just about you, it's about your family. It's about the

771
00:40:50,800 --> 00:40:53,160
Speaker 1: people who are around you. So look, if that's you know,

772
00:40:53,239 --> 00:40:55,239
Speaker 1: anything you can take away from this, I hope that's

773
00:40:55,239 --> 00:40:57,200
Speaker 1: what it is. You know, take care of yourself, it's

774
00:40:57,200 --> 00:41:01,680
Speaker 1: really important. All right, let's move on. This is very similar. Actually,

775
00:41:01,800 --> 00:41:03,640
Speaker 1: if you want to talk about why we have mental

776
00:41:03,680 --> 00:41:07,279
Speaker 1: health problems and so much more, well, it's because I

777
00:41:07,320 --> 00:41:10,080
Speaker 1: would say this is obviously an upper class bias. You know,

778
00:41:10,120 --> 00:41:13,759
Speaker 1: we both went to college. No people predominantly who went

779
00:41:13,800 --> 00:41:16,040
Speaker 1: to four year college degree. I know a lot of

780
00:41:16,080 --> 00:41:18,319
Speaker 1: people with six figure student debt, and I am not

781
00:41:18,360 --> 00:41:21,040
Speaker 1: going to pretend that that is in any way the norm.

782
00:41:21,640 --> 00:41:24,880
Speaker 1: And yes, it is an elite problem. I would, however,

783
00:41:25,000 --> 00:41:28,800
Speaker 1: pair it with the general fact that working class people

784
00:41:29,160 --> 00:41:31,400
Speaker 1: also have a lot of debt. It just doesn't happen

785
00:41:31,440 --> 00:41:34,920
Speaker 1: to be student debt well, and people who are of

786
00:41:35,040 --> 00:41:38,479
Speaker 1: less means who go to college, they have the most debt,

787
00:41:38,680 --> 00:41:42,760
Speaker 1: and community college times elsewhere, they get completely screwed, especially

788
00:41:42,760 --> 00:41:45,600
Speaker 1: if you don't finish college well. Community college is are

789
00:41:45,640 --> 00:41:51,680
Speaker 1: a decent value. It's the for profit scam universities that

790
00:41:51,760 --> 00:41:55,160
Speaker 1: are the absolute worst. But there's just no doubt about Listen,

791
00:41:55,160 --> 00:41:58,480
Speaker 1: if mommy and daddy aren't fronting your college bill, you're

792
00:41:58,480 --> 00:42:02,360
Speaker 1: going to end up with a higher amount of debt,

793
00:42:02,719 --> 00:42:08,040
Speaker 1: and then that constrains what you do for your entire life. So,

794
00:42:08,600 --> 00:42:11,200
Speaker 1: Joe Biden, let's put this up there on the screen.

795
00:42:11,280 --> 00:42:14,200
Speaker 1: Joe Biden has said he will not extend student debt

796
00:42:14,200 --> 00:42:17,279
Speaker 1: relief and confirms that student loan payments are going to

797
00:42:17,320 --> 00:42:20,680
Speaker 1: restart on February first. Now, of course has already only

798
00:42:20,719 --> 00:42:23,520
Speaker 1: applied to federal loans, but for a lot of people

799
00:42:23,600 --> 00:42:26,760
Speaker 1: that actually meant a lot. The reason why this matters,

800
00:42:26,880 --> 00:42:30,320
Speaker 1: and we'll be doing this a segment later on, Crystal,

801
00:42:30,440 --> 00:42:33,319
Speaker 1: is that in many cases, the highest payments don't really

802
00:42:33,400 --> 00:42:36,400
Speaker 1: kick in until after these kids obviously graduate from school.

803
00:42:36,880 --> 00:42:40,040
Speaker 1: And we just have the latest data that's come in

804
00:42:40,320 --> 00:42:45,080
Speaker 1: that amongst twenty twenty gen Z graduates, only fifty percent

805
00:42:45,239 --> 00:42:50,600
Speaker 1: six months after graduating even have full time employment. Fifty

806
00:42:50,960 --> 00:42:54,480
Speaker 1: percent of people who graduated from college in twenty twenty

807
00:42:54,680 --> 00:42:59,160
Speaker 1: are completely unemployed. So how exactly are they supposed to

808
00:42:59,160 --> 00:43:02,680
Speaker 1: pay their debt? I understand, you know, these debt companies,

809
00:43:02,719 --> 00:43:04,680
Speaker 1: they come up with what you can pay or whatever.

810
00:43:04,800 --> 00:43:07,240
Speaker 1: Even if you can't pay, though, what's happening that interest

811
00:43:07,280 --> 00:43:09,880
Speaker 1: is racking up and it's not like you can discharge it.

812
00:43:10,160 --> 00:43:12,520
Speaker 1: Even if you die, they can go and garnish your

813
00:43:12,640 --> 00:43:14,839
Speaker 1: state or whatever. So this is just one of those

814
00:43:14,840 --> 00:43:17,799
Speaker 1: cases where the student loan debt, I mean, for a

815
00:43:17,840 --> 00:43:22,759
Speaker 1: while the Biden administration conversation was let's cancel some student debt, right,

816
00:43:23,200 --> 00:43:25,400
Speaker 1: you know, up to ten k or whatever, which I

817
00:43:25,400 --> 00:43:28,000
Speaker 1: actually do completely support because that would wipe out the

818
00:43:28,960 --> 00:43:32,160
Speaker 1: debt for the working class Americans in particular who have

819
00:43:32,320 --> 00:43:35,040
Speaker 1: that ten k following and actually the vast majority of

820
00:43:35,200 --> 00:43:37,360
Speaker 1: student debt at the highest highest levels for people with

821
00:43:37,480 --> 00:43:39,520
Speaker 1: graduate degrees. And I don't think it's fair to be

822
00:43:39,560 --> 00:43:42,160
Speaker 1: bailing out people at the very very top of the spectrum,

823
00:43:42,239 --> 00:43:45,240
Speaker 1: you know, who went to like Columbia University or whatever.

824
00:43:45,560 --> 00:43:48,200
Speaker 1: I actually thought that was a very reasonable program, especially

825
00:43:48,200 --> 00:43:50,200
Speaker 1: if you pair it with some sort of credit card

826
00:43:50,200 --> 00:43:52,680
Speaker 1: debt relief and more for working class young people that

827
00:43:52,760 --> 00:43:54,160
Speaker 1: we have right now, because it wouldn't be fair to

828
00:43:54,160 --> 00:43:56,839
Speaker 1: bail out the elites and not bail out everybody else.

829
00:43:57,080 --> 00:44:00,759
Speaker 1: But this is not just a This is not just

830
00:44:00,800 --> 00:44:03,799
Speaker 1: talking about not bailing out. This is what they call

831
00:44:03,840 --> 00:44:09,400
Speaker 1: a quote smooth transition back into repayment, and they consider

832
00:44:09,440 --> 00:44:13,640
Speaker 1: it quote a high priority for the administration for the

833
00:44:13,680 --> 00:44:17,200
Speaker 1: Department of Education in order to start getting repayments on

834
00:44:17,239 --> 00:44:21,240
Speaker 1: February first. Well, there's also this everybody is like wish

835
00:44:21,320 --> 00:44:25,439
Speaker 1: casting that the economy is great again, and for rich people.

836
00:44:25,560 --> 00:44:28,000
Speaker 1: Some for rich people, oh, forget about it. I mean

837
00:44:28,040 --> 00:44:30,920
Speaker 1: they're doing better than ever. Great, they're using the excuse

838
00:44:30,960 --> 00:44:34,880
Speaker 1: of inflation, you know, for corporations to jack up prices.

839
00:44:35,320 --> 00:44:39,960
Speaker 1: But there's new FED survey data that found finds that

840
00:44:40,040 --> 00:44:43,839
Speaker 1: thirty three percent of Americans say they're somewhat worse off

841
00:44:43,960 --> 00:44:47,359
Speaker 1: or much worse off financially than they were a year ago.

842
00:44:47,520 --> 00:44:50,920
Speaker 1: That is the largest share since April of twenty twenty,

843
00:44:50,960 --> 00:44:53,040
Speaker 1: which is right when you're in you know, the free

844
00:44:53,080 --> 00:44:58,880
Speaker 1: fall of of the pandemic. So yeah, there's it's no

845
00:44:59,040 --> 00:45:02,839
Speaker 1: surprise that the they pulled all of the pandemic supports.

846
00:45:03,520 --> 00:45:06,319
Speaker 1: We continue to have issues in terms of supply chain

847
00:45:06,360 --> 00:45:10,080
Speaker 1: disruptions and price increases and things that are eating into

848
00:45:10,120 --> 00:45:14,719
Speaker 1: people's paychecks and whatever savings that they ultimately have. And

849
00:45:14,840 --> 00:45:18,319
Speaker 1: so you have people saying I'm actually doing much worse

850
00:45:18,400 --> 00:45:20,880
Speaker 1: off than I was last year, a third of Americans

851
00:45:20,880 --> 00:45:23,759
Speaker 1: saying they're worse off than they were last year. And

852
00:45:23,840 --> 00:45:26,720
Speaker 1: yet the Biden administration is yet is like, Okay, that's great,

853
00:45:26,800 --> 00:45:30,080
Speaker 1: time to start paying again. I mean it's just I

854
00:45:30,120 --> 00:45:34,120
Speaker 1: think there's two things here. Number one is the utter

855
00:45:34,160 --> 00:45:38,879
Speaker 1: political stupidity. Of this Trump, Brionna points out all the time,

856
00:45:38,960 --> 00:45:41,960
Speaker 1: like Trump is the one who who paused the student

857
00:45:42,000 --> 00:45:44,080
Speaker 1: loan payments and you will they are going to be

858
00:45:44,120 --> 00:45:47,480
Speaker 1: the ones that restart it, and you don't cancel any debt,

859
00:45:47,600 --> 00:45:51,120
Speaker 1: Like what are you doing? So there's just the utter

860
00:45:51,200 --> 00:45:54,920
Speaker 1: political stupidity. But also just in terms of where we

861
00:45:54,960 --> 00:45:59,040
Speaker 1: are economically, people aren't where you're wishing that they would be.

862
00:45:59,680 --> 00:46:03,040
Speaker 1: There's a majority out there that say they expect things

863
00:46:03,120 --> 00:46:06,799
Speaker 1: to get worse for them economically. So the picture is

864
00:46:06,920 --> 00:46:10,120
Speaker 1: really not good in terms of how people are feeling

865
00:46:10,480 --> 00:46:15,040
Speaker 1: about their current financial circumstances. And yet you know you're

866
00:46:15,080 --> 00:46:19,759
Speaker 1: pushing forward to make sure that the debt collectors get theirs. Yeah,

867
00:46:19,800 --> 00:46:22,920
Speaker 1: it's pretty remarkable. And it's just like when you're talking,

868
00:46:23,040 --> 00:46:25,200
Speaker 1: I can't think of anything dumber that you could do

869
00:46:25,239 --> 00:46:28,799
Speaker 1: in order to depress like youth. Let's say, be purely cynical, right,

870
00:46:29,239 --> 00:46:30,680
Speaker 1: pay off the people who are going to come out

871
00:46:30,680 --> 00:46:34,719
Speaker 1: to vote for you. Young college grads are disproportionately democrat

872
00:46:34,760 --> 00:46:37,560
Speaker 1: by like eighty percent or something like that. So why

873
00:46:37,600 --> 00:46:40,799
Speaker 1: would you do this right before the midterm election? Yes,

874
00:46:40,840 --> 00:46:43,160
Speaker 1: and they come November right, and there's a group that

875
00:46:43,480 --> 00:46:46,440
Speaker 1: doesn't necessarily always turn out. Oh, actually almost never turns

876
00:46:46,440 --> 00:46:49,640
Speaker 1: out unless they really care. Like Obama two thousand and eight.

877
00:46:49,800 --> 00:46:53,759
Speaker 1: They also a group that voted for not just debt cancelation,

878
00:46:53,840 --> 00:46:57,760
Speaker 1: but also free college. Even after okay, Bernie's off the table,

879
00:46:57,800 --> 00:47:00,680
Speaker 1: we got Joe, there was still an expectation of like, oh,

880
00:47:00,719 --> 00:47:04,879
Speaker 1: maybe we'll do ten grand, maybe we'll get like free

881
00:47:04,960 --> 00:47:09,880
Speaker 1: community college or something. No, no, not at all that

882
00:47:09,920 --> 00:47:11,919
Speaker 1: I think in the build back Better plan, I think

883
00:47:11,920 --> 00:47:15,719
Speaker 1: there's some like a few dollars for additional scholarships or

884
00:47:15,719 --> 00:47:18,160
Speaker 1: something like that is what it came down Collgrans. Yeah,

885
00:47:18,160 --> 00:47:20,560
Speaker 1: that's right. Yeah, and we're gonna and we're gonna restart

886
00:47:20,600 --> 00:47:22,719
Speaker 1: your student loan payments also. But I've been thinking about it,

887
00:47:22,719 --> 00:47:24,560
Speaker 1: and if you're gen Z out there, think about how

888
00:47:24,680 --> 00:47:26,360
Speaker 1: terrible of a year you just had. It's like a

889
00:47:26,440 --> 00:47:29,080
Speaker 1: graduate from college barely could get a job, if you

890
00:47:29,120 --> 00:47:32,080
Speaker 1: could get a job at all. Oh, you want to

891
00:47:32,080 --> 00:47:34,560
Speaker 1: buy a house. Yeah, that's literally never going to happen.

892
00:47:34,680 --> 00:47:37,640
Speaker 1: Just ask your millennial brother who also still can't afford

893
00:47:37,640 --> 00:47:40,000
Speaker 1: a house. Now you have to kick in for your

894
00:47:40,040 --> 00:47:42,839
Speaker 1: student debt payments, which you thought you might have a

895
00:47:42,840 --> 00:47:45,840
Speaker 1: little bit of a break on. You had basically the

896
00:47:45,920 --> 00:47:48,520
Speaker 1: last year of college like robbed from your life, like

897
00:47:48,560 --> 00:47:52,000
Speaker 1: a very transformative experience. Or if you're an entry level

898
00:47:52,000 --> 00:47:54,799
Speaker 1: working class worker who didn't go to college, you had

899
00:47:54,880 --> 00:47:58,600
Speaker 1: probably an absolutely terrible time trying to re enter the

900
00:47:58,680 --> 00:48:01,880
Speaker 1: labor force or find you know, the job, or find

901
00:48:01,920 --> 00:48:04,799
Speaker 1: a place in order to acquire some skills you had

902
00:48:04,840 --> 00:48:07,760
Speaker 1: all this time and all this social stuff just completely

903
00:48:07,840 --> 00:48:11,319
Speaker 1: robbed from you. Now you're economically destroyed. I just I

904
00:48:11,360 --> 00:48:14,640
Speaker 1: can't think about how it makes me so depressed, especially

905
00:48:14,680 --> 00:48:17,240
Speaker 1: you know, in consideration of the previous segment. No wonder

906
00:48:17,280 --> 00:48:19,880
Speaker 1: people are so obese. I mean, like no, like what

907
00:48:19,880 --> 00:48:22,680
Speaker 1: are you supposed to do? You lean into comfort, you know,

908
00:48:23,040 --> 00:48:26,840
Speaker 1: you lean into the stuff that will dull your pain, drugs, food,

909
00:48:27,239 --> 00:48:30,040
Speaker 1: video games, you know, all this stuff. It's just all

910
00:48:30,160 --> 00:48:33,680
Speaker 1: sensory overload in order to make you just forget about

911
00:48:33,719 --> 00:48:35,880
Speaker 1: the stuff that's happening. So I don't just look at this,

912
00:48:35,960 --> 00:48:38,399
Speaker 1: you know, student dead as an issue on its own.

913
00:48:38,400 --> 00:48:41,440
Speaker 1: It's just symbolic to me about how so many of

914
00:48:41,480 --> 00:48:43,239
Speaker 1: the people who are young in this country are just

915
00:48:43,239 --> 00:48:47,359
Speaker 1: getting so screwed over and over and over again. And

916
00:48:47,520 --> 00:48:50,399
Speaker 1: it's like they don't believe in democracy? No, yeah, no,

917
00:48:50,480 --> 00:48:53,960
Speaker 1: wonder right right, Like, because where are their views and

918
00:48:54,000 --> 00:48:57,960
Speaker 1: their priorities and their concerns represented in government? You know?

919
00:48:58,120 --> 00:49:00,560
Speaker 1: I mean, and you know climate change is a top

920
00:49:00,560 --> 00:49:04,000
Speaker 1: issue for that generation as well, because they see where

921
00:49:04,040 --> 00:49:08,239
Speaker 1: things are headed and no seriousness there. Biden's opening up

922
00:49:08,280 --> 00:49:11,000
Speaker 1: more of the golf to oil drilling. I mean, it

923
00:49:11,200 --> 00:49:14,399
Speaker 1: just it feels like a total disconnect, even though quote

924
00:49:14,440 --> 00:49:16,960
Speaker 1: unquote their side in terms of the numbers for young

925
00:49:17,000 --> 00:49:20,640
Speaker 1: people one and still they're not represented in government. So yeah,

926
00:49:20,640 --> 00:49:22,799
Speaker 1: can you blame them if they go like, what does

927
00:49:22,840 --> 00:49:25,880
Speaker 1: it matter who I vote for? What? You know, it's

928
00:49:25,920 --> 00:49:28,560
Speaker 1: it seems like we get we get the same thing

929
00:49:28,840 --> 00:49:32,799
Speaker 1: over and over again. So it's just, as you said,

930
00:49:32,920 --> 00:49:36,960
Speaker 1: very symbolic of the lack of care and concern for

931
00:49:37,160 --> 00:49:40,759
Speaker 1: younger generations and also symbolic of the tone deafness about

932
00:49:40,760 --> 00:49:44,240
Speaker 1: where we actually are in economic recovery and how people

933
00:49:44,280 --> 00:49:47,520
Speaker 1: are actually doing financially, which is not you know, where

934
00:49:47,560 --> 00:49:51,680
Speaker 1: the Biden administration is wishcasting them to be. Okay, let's

935
00:49:51,719 --> 00:49:54,040
Speaker 1: move on. This is a really creamy story. Don't want

936
00:49:54,040 --> 00:49:56,600
Speaker 1: to just make it about CNN. It's actually amount a

937
00:49:56,680 --> 00:50:01,320
Speaker 1: much broader problem in media about whitewashing, child sex trafficking

938
00:50:01,360 --> 00:50:04,680
Speaker 1: and child sex abuse. So we'll start out with the

939
00:50:04,800 --> 00:50:07,239
Speaker 1: very basic facts, which is that, and let's put this

940
00:50:07,280 --> 00:50:13,200
Speaker 1: on the screen, please, CNN. Chris Cuomo obviously EXCNN Primetime

941
00:50:13,239 --> 00:50:18,600
Speaker 1: Talents producer was just charged by authorities with luring girls

942
00:50:18,719 --> 00:50:23,440
Speaker 1: for sexual training. Now. His name is John Griffin of Stanford, Connecticut.

943
00:50:23,719 --> 00:50:27,480
Speaker 1: I'm just reading directly from this. Allegedly used messaging apps

944
00:50:27,520 --> 00:50:31,640
Speaker 1: to befriend and persuade moms of young girls, telling them

945
00:50:31,719 --> 00:50:34,480
Speaker 1: a woman is a woman regardless of her age, and

946
00:50:34,520 --> 00:50:37,160
Speaker 1: that he should be the one to quote train their

947
00:50:37,239 --> 00:50:41,000
Speaker 1: daughters sexually. According to an indictment from the US Attorney

948
00:50:41,280 --> 00:50:46,919
Speaker 1: of Vermont, Griffin, forty four, allegedly got at least one

949
00:50:47,000 --> 00:50:50,400
Speaker 1: mom of two daughters to bring a girl to his

950
00:50:50,840 --> 00:50:54,680
Speaker 1: Ludlow Ski getaway in June of twenty twenty. It was

951
00:50:54,760 --> 00:50:58,080
Speaker 1: then the mom's responsibility to see that her older daughter,

952
00:50:58,280 --> 00:51:04,240
Speaker 1: thirteen years old, was quote trained properly. Griffin, himself, a father,

953
00:51:04,800 --> 00:51:08,160
Speaker 1: sent the woman three thousand dollars for plane tickets so

954
00:51:08,200 --> 00:51:11,000
Speaker 1: they could fly from Nevada to Boston, where he picked

955
00:51:11,000 --> 00:51:13,960
Speaker 1: them up for a ride to Ludlow for mom. He's

956
00:51:13,960 --> 00:51:17,200
Speaker 1: been pictured, you know, many times with CNN's Chris Cuomo,

957
00:51:17,560 --> 00:51:21,439
Speaker 1: and it's very clear that he was directing that young

958
00:51:21,480 --> 00:51:26,600
Speaker 1: girl thirteen years old to direct engage in unlawful sexual activity.

959
00:51:26,760 --> 00:51:29,879
Speaker 1: He attempted to do this with two other children over

960
00:51:29,920 --> 00:51:33,200
Speaker 1: the Internet, and from the indictment, he used apps like

961
00:51:33,440 --> 00:51:36,320
Speaker 1: a Kick and Google Hangout, and in April twenty twenty,

962
00:51:36,480 --> 00:51:40,440
Speaker 1: he even suggested quote a virtual training session over a

963
00:51:40,560 --> 00:51:43,759
Speaker 1: video chat that would include him instructing a mother and

964
00:51:43,800 --> 00:51:46,759
Speaker 1: her fourteen year old daughter to remove their clothing and

965
00:51:46,880 --> 00:51:50,440
Speaker 1: touch each other. In June, he told another mom of

966
00:51:50,440 --> 00:51:52,959
Speaker 1: a sixteen year old that she would take a mother

967
00:51:53,080 --> 00:51:58,000
Speaker 1: daughter trip to his skihouse for sexual training involving the child. Okay,

968
00:51:58,040 --> 00:52:02,120
Speaker 1: I feel sick, by the way, who are these moms?

969
00:52:02,200 --> 00:52:06,000
Speaker 1: I hope they're going to jail to uh. Look, the government,

970
00:52:06,040 --> 00:52:07,759
Speaker 1: if it has one job on this earth, is under

971
00:52:07,840 --> 00:52:11,840
Speaker 1: lock people like this up forever. This problem, though, is

972
00:52:11,880 --> 00:52:15,880
Speaker 1: that these stories obviously celebrated by the right wing, you know,

973
00:52:15,920 --> 00:52:18,400
Speaker 1: in this case, but they will ignore many cases that

974
00:52:18,480 --> 00:52:20,320
Speaker 1: involve By the way, the due used to work with

975
00:52:20,400 --> 00:52:23,400
Speaker 1: Fox News. There you go, okay, good, So it's a

976
00:52:23,400 --> 00:52:28,040
Speaker 1: bipartisan problem. But what I have been really disturbed by

977
00:52:28,280 --> 00:52:32,839
Speaker 1: is this general idea that because it was a QAnon thing,

978
00:52:33,120 --> 00:52:36,160
Speaker 1: in order to believe that there was child sex trafficking,

979
00:52:36,480 --> 00:52:40,120
Speaker 1: that we should try to attack the idea that there's

980
00:52:40,320 --> 00:52:44,399
Speaker 1: child sex trafficking at all. And that came out from

981
00:52:44,480 --> 00:52:49,319
Speaker 1: the Atlantic almost immediately before this indictment dropped. Let's put

982
00:52:49,320 --> 00:52:52,440
Speaker 1: this up there on the screen. They write, quote the

983
00:52:52,560 --> 00:52:59,040
Speaker 1: great fake child sex trafficking epidemic dispatches from a moral panic,

984
00:52:59,320 --> 00:53:03,120
Speaker 1: And what they put point to are viral instances in

985
00:53:03,160 --> 00:53:06,080
Speaker 1: which people have been claimed to be abducted or more.

986
00:53:06,320 --> 00:53:10,560
Speaker 1: And they say that on average, save the Children posts

987
00:53:10,840 --> 00:53:14,840
Speaker 1: and others are a moral panic akin to Satanic worship

988
00:53:15,160 --> 00:53:18,479
Speaker 1: in the nineteen eighties. Number one, the numbers don't bear

989
00:53:18,520 --> 00:53:23,680
Speaker 1: that out whatsoever. Number two, Galaine Maxwell is literally on trial,

990
00:53:23,840 --> 00:53:27,880
Speaker 1: I mean, for running a child sex trafficking ring. So

991
00:53:28,200 --> 00:53:31,000
Speaker 1: you can't say that there's a moral panic whenever you

992
00:53:31,080 --> 00:53:33,480
Speaker 1: have one of the most high profile child sex trafficking

993
00:53:33,520 --> 00:53:37,080
Speaker 1: ring trials ever in modern American history at the exact

994
00:53:37,080 --> 00:53:39,800
Speaker 1: same time, if we're gonna have a moral panic about anything,

995
00:53:40,400 --> 00:53:43,800
Speaker 1: I love this. I'm good with that. I think we're okay.

996
00:53:43,920 --> 00:53:47,520
Speaker 1: I actually know, and I suspect you do too. I

997
00:53:48,000 --> 00:53:51,279
Speaker 1: know people who have been working in the you know,

998
00:53:51,360 --> 00:53:56,680
Speaker 1: to combat sex trafficking for for years, long before QAnon,

999
00:53:57,280 --> 00:54:00,560
Speaker 1: and you know, there are a lot of misconceptions about

1000
00:54:00,960 --> 00:54:05,719
Speaker 1: who is vulnerable and susceptible to ultimately being trafficked, and

1001
00:54:06,160 --> 00:54:07,840
Speaker 1: you know, used to be the idea is, oh, this

1002
00:54:07,920 --> 00:54:10,680
Speaker 1: only happens with you know, girls from other countries or

1003
00:54:10,719 --> 00:54:14,160
Speaker 1: in other places, et cetera. And the reality is a

1004
00:54:14,239 --> 00:54:18,880
Speaker 1: lot of young girls who are in traumatic or vulnerable

1005
00:54:18,920 --> 00:54:25,040
Speaker 1: situations and especially homeless or you know, in an unstable

1006
00:54:25,040 --> 00:54:28,959
Speaker 1: home situation, that those are people who are our most

1007
00:54:29,040 --> 00:54:32,400
Speaker 1: vulnerable here. So to pretend like it's not an issue,

1008
00:54:32,520 --> 00:54:36,120
Speaker 1: I mean, obviously, obviously we can see in front of

1009
00:54:36,160 --> 00:54:38,200
Speaker 1: our eyes right now at the trial that's going on,

1010
00:54:38,360 --> 00:54:41,280
Speaker 1: that this is something that is happening. It's happening here,

1011
00:54:41,360 --> 00:54:43,440
Speaker 1: and it's something that everyone it should not be a

1012
00:54:43,480 --> 00:54:49,399
Speaker 1: partisan issue to be disgusted by and outraged by. There

1013
00:54:49,480 --> 00:54:52,440
Speaker 1: is a weird thing going on with the Galaine Maxwell

1014
00:54:52,440 --> 00:54:54,759
Speaker 1: trial and the QAnon people, which just shows you, like

1015
00:54:54,800 --> 00:54:58,360
Speaker 1: the partisan brain worms, I guess, in fact, absolutely everybody

1016
00:54:58,480 --> 00:55:00,640
Speaker 1: is that. Of course, the QAnon people have been super

1017
00:55:00,640 --> 00:55:04,719
Speaker 1: focused on save the children and using the hashtag. And

1018
00:55:04,960 --> 00:55:07,760
Speaker 1: but the minute that in the trial they started the

1019
00:55:07,840 --> 00:55:09,880
Speaker 1: pilot set up by the way, Donald Trump was on

1020
00:55:09,920 --> 00:55:12,200
Speaker 1: the plane a number of times and they got very upset.

1021
00:55:12,239 --> 00:55:16,799
Speaker 1: Another witness was like, oh, another one of the victims

1022
00:55:17,160 --> 00:55:19,839
Speaker 1: had been introduced to Trump at mar A Lago then

1023
00:55:19,920 --> 00:55:22,040
Speaker 1: suddenly out, well, we're not as interested in this. So

1024
00:55:22,080 --> 00:55:25,360
Speaker 1: we even saw Lauren Bobert like trying to downplay you know,

1025
00:55:25,360 --> 00:55:28,080
Speaker 1: who's the most cuanon I guess of the members now

1026
00:55:28,120 --> 00:55:31,719
Speaker 1: trying to downplay the trial and whatever. So I don't know.

1027
00:55:32,040 --> 00:55:33,880
Speaker 1: It makes me sad for the country that you're in

1028
00:55:33,920 --> 00:55:37,120
Speaker 1: a place where you're trying to like have child sex

1029
00:55:37,160 --> 00:55:40,080
Speaker 1: trafficking somehow fit into you into the culture war. It

1030
00:55:40,120 --> 00:55:42,600
Speaker 1: also would be remiss if we didn't show you this.

1031
00:55:42,719 --> 00:55:45,560
Speaker 1: Let's put this up there on the screen. That article

1032
00:55:45,600 --> 00:55:48,640
Speaker 1: about how there is a moral panic was written in

1033
00:55:48,640 --> 00:55:51,200
Speaker 1: the Atlantic and before you for those who are you

1034
00:55:51,360 --> 00:55:54,359
Speaker 1: just listening, is an image of Loreen Powell Jobs, who

1035
00:55:54,480 --> 00:55:59,040
Speaker 1: is the majority stakeholder in the Atlantic, with Gullaine Maxwell

1036
00:55:59,360 --> 00:56:03,520
Speaker 1: hanging out seemingly pool side. It looks like, yeah, I'm

1037
00:56:03,560 --> 00:56:06,520
Speaker 1: just saying that happens to be you write an article

1038
00:56:06,560 --> 00:56:10,000
Speaker 1: about fake, fake moral panic, the owner of your company

1039
00:56:10,160 --> 00:56:13,960
Speaker 1: literally hanging out with Gallaine Maxwell. Loreen Powell Jobs is

1040
00:56:14,000 --> 00:56:17,839
Speaker 1: the widow of Steve Jobs, multi billionaire, obviously, and she's

1041
00:56:17,880 --> 00:56:21,040
Speaker 1: been investing in a lot of media organizations as well.

1042
00:56:21,080 --> 00:56:24,080
Speaker 1: I'm not implying anything about her personal conduct or whatever,

1043
00:56:24,400 --> 00:56:27,600
Speaker 1: but I think it just goes to show you that

1044
00:56:27,760 --> 00:56:29,839
Speaker 1: there are certain issues that they don't want to talk

1045
00:56:29,840 --> 00:56:33,920
Speaker 1: about because they implicate in many cases, not them and

1046
00:56:33,960 --> 00:56:38,000
Speaker 1: their personal behavior necessarily, but who they hang out with,

1047
00:56:38,400 --> 00:56:41,600
Speaker 1: and the morals of the people who are willing to

1048
00:56:41,680 --> 00:56:46,440
Speaker 1: overlook literal child sex trafficking and allegations. And in Epstein's case,

1049
00:56:46,520 --> 00:56:51,160
Speaker 1: you know, being actually convicted of abuse of a minor

1050
00:56:51,480 --> 00:56:55,040
Speaker 1: and still being accepted into the highest echelons of American

1051
00:56:55,040 --> 00:56:59,200
Speaker 1: social society Bill Gates obviously, and more so, look this

1052
00:56:59,320 --> 00:57:02,120
Speaker 1: CNN thing. You know, we're not trying to score chief

1053
00:57:02,160 --> 00:57:05,880
Speaker 1: points against anybody. I think the indictment is so repulsive

1054
00:57:05,960 --> 00:57:08,920
Speaker 1: and just goes to show that this person is a depraved,

1055
00:57:09,080 --> 00:57:14,160
Speaker 1: absolutely depraved, sick, evil individual. But it's part of us.

1056
00:57:14,280 --> 00:57:17,200
Speaker 1: It's a story that drops, you know, almost immediately after

1057
00:57:17,320 --> 00:57:21,320
Speaker 1: seemingly an elite campaign in order to whitewash the idea

1058
00:57:21,600 --> 00:57:24,680
Speaker 1: that there is child sex trafficking here in the United States.

1059
00:57:24,680 --> 00:57:26,840
Speaker 1: And this just goes to show you this could this

1060
00:57:26,880 --> 00:57:29,640
Speaker 1: is happening all over the country. Don't turn it into

1061
00:57:29,640 --> 00:57:32,800
Speaker 1: a culture war thing, and don't whitewash what's happening right now.

1062
00:57:32,840 --> 00:57:37,000
Speaker 1: It is just really sick. Indeed, christl what are you

1063
00:57:37,000 --> 00:57:40,160
Speaker 1: taking a look at? Well? Guys, around nine hundred employees

1064
00:57:40,320 --> 00:57:43,360
Speaker 1: of fintech mortgage company Beetter dot com. They were recently

1065
00:57:43,360 --> 00:57:46,640
Speaker 1: summoned to a zoom meeting with their CEO, Mishall Garg.

1066
00:57:47,200 --> 00:57:49,360
Speaker 1: Some of these employees would later tell reporters that they

1067
00:57:49,360 --> 00:57:52,480
Speaker 1: were just expecting another corporate town hall, but this was

1068
00:57:52,600 --> 00:57:56,840
Speaker 1: no typical zoom webinar. Instead, Garg logged into the zoom

1069
00:57:56,840 --> 00:57:59,440
Speaker 1: as employees were still trickling in and announced that quote,

1070
00:57:59,640 --> 00:58:01,360
Speaker 1: if you're you're on this call, you are part of

1071
00:58:01,400 --> 00:58:04,520
Speaker 1: the unlucky group that is being laid off. Little was

1072
00:58:04,520 --> 00:58:06,680
Speaker 1: offered in the way of rational The entire meeting lasted

1073
00:58:06,760 --> 00:58:09,960
Speaker 1: just three minutes. Employees frantically trying to figure out what

1074
00:58:10,000 --> 00:58:12,680
Speaker 1: the hell just happened. They were immediately locked out of

1075
00:58:12,720 --> 00:58:15,920
Speaker 1: their email, their slack channels, their company computers, their phones.

1076
00:58:16,480 --> 00:58:20,880
Speaker 1: In total, the mass Zoom firing affected at least ten

1077
00:58:20,920 --> 00:58:24,640
Speaker 1: percent of better dot COM's workforce, and in an especially

1078
00:58:24,640 --> 00:58:28,800
Speaker 1: brutal twist, came just before the holidays. Garg then assembled

1079
00:58:28,800 --> 00:58:31,800
Speaker 1: the remainder of the Beetter dot com workforce and threatened

1080
00:58:32,080 --> 00:58:34,840
Speaker 1: their jobs as well, informing them that the coming year

1081
00:58:34,880 --> 00:58:40,240
Speaker 1: would be a quote bloodbath, terrible, right, heartless, inhumane, cruel.

1082
00:58:40,640 --> 00:58:43,400
Speaker 1: That's how any normal human being, I think would process

1083
00:58:43,480 --> 00:58:46,480
Speaker 1: these events. But one host over at Fox News she

1084
00:58:46,560 --> 00:58:49,080
Speaker 1: had a very different take. To know that because maybe

1085
00:58:49,160 --> 00:58:52,440
Speaker 1: he'll quit, maybe he'll fire himself, Emily go to CNN.

1086
00:58:52,960 --> 00:58:55,920
Speaker 1: I loved this, Actually, I loved this so much. The

1087
00:58:55,960 --> 00:59:00,000
Speaker 1: productivity of those nine hundred individuals averaged two hours a day,

1088
00:59:00,120 --> 00:59:02,800
Speaker 1: even though they were paid for eight. And I understand

1089
00:59:02,840 --> 00:59:05,200
Speaker 1: the indelicate nature of this, but part of my role

1090
00:59:05,240 --> 00:59:07,160
Speaker 1: as a federal attorney when I was managing an acting

1091
00:59:07,160 --> 00:59:09,560
Speaker 1: director was terminating individuals, and I did it with the

1092
00:59:09,640 --> 00:59:11,880
Speaker 1: utmost respect and care, but I also had to do

1093
00:59:11,920 --> 00:59:14,040
Speaker 1: it with a lot of security measures in place. I

1094
00:59:14,120 --> 00:59:16,840
Speaker 1: love that for nine hundred people, he stayed safe and

1095
00:59:16,880 --> 00:59:19,880
Speaker 1: he let them know that their theft was no longer tolerated.

1096
00:59:19,920 --> 00:59:22,360
Speaker 1: So for me, good riddance, And I feel bad that

1097
00:59:22,400 --> 00:59:24,800
Speaker 1: he's now having to capitulate to the other execs that

1098
00:59:24,880 --> 00:59:27,560
Speaker 1: his company and apologize for it. Sorry guys, by for

1099
00:59:27,640 --> 00:59:30,800
Speaker 1: all of them, there's snowflakes. They're probably millennials and zs. Yeah,

1100
00:59:31,320 --> 00:59:34,240
Speaker 1: they need to learn work ethics. That's what Emily's tough.

1101
00:59:34,280 --> 00:59:39,320
Speaker 1: We're all the shit guys. And for those call who

1102
00:59:39,320 --> 00:59:43,480
Speaker 1: were the exceptions to accuse them of they all have lawsuits.

1103
00:59:43,880 --> 00:59:46,520
Speaker 1: I would Brian though, I mean they do. I mean,

1104
00:59:46,520 --> 00:59:48,720
Speaker 1: if he accused them of not doing what they're supposed

1105
00:59:48,760 --> 00:59:50,320
Speaker 1: to be doing and all that, and there were sipts,

1106
00:59:50,840 --> 00:59:52,880
Speaker 1: that's gonna be tough for him. Yeah. But this guy,

1107
00:59:52,760 --> 00:59:56,160
Speaker 1: I like the bravado, I like having the debate. I

1108
00:59:56,440 --> 00:59:59,240
Speaker 1: his pockets are deep. To Brian's point, though, this guy

1109
00:59:59,280 --> 01:00:01,360
Speaker 1: in court document, it was alleged that he wanted to

1110
01:00:01,440 --> 01:00:04,080
Speaker 1: staple someone to the wall or door, whatever it was.

1111
01:00:04,360 --> 01:00:06,720
Speaker 1: I mean, this kind has some pretty big issues, just

1112
01:00:08,720 --> 01:00:15,600
Speaker 1: maybe they were day from him. I really loved day this. Now,

1113
01:00:15,600 --> 01:00:17,800
Speaker 1: there are a few things I really enjoyed about Emily's

1114
01:00:17,800 --> 01:00:20,280
Speaker 1: comments there. First of all, she does that thing I'm

1115
01:00:20,320 --> 01:00:23,160
Speaker 1: just throwing together a bunch of conservative buzzwords and cultural

1116
01:00:23,200 --> 01:00:24,919
Speaker 1: tropes and hopes that her points are going to land

1117
01:00:24,920 --> 01:00:27,920
Speaker 1: with a Fox audience. The employees are a bunch of snowflakes,

1118
01:00:27,920 --> 01:00:30,240
Speaker 1: probably a bunch of millennials and z's. They need to

1119
01:00:30,320 --> 01:00:34,360
Speaker 1: learn work ethic. Nothing like pampered rich TV hosts lecturing

1120
01:00:34,400 --> 01:00:38,440
Speaker 1: the youths of America about work ethic. Also, snowflake discourse

1121
01:00:38,600 --> 01:00:41,320
Speaker 1: is so twenty sixteen. Emily should really have worked more

1122
01:00:41,320 --> 01:00:44,960
Speaker 1: contemporary references like the woke Mob into her justification of

1123
01:00:45,040 --> 01:00:49,200
Speaker 1: rich assholes behaving like rich assholes. Second, she just repeats

1124
01:00:49,240 --> 01:00:52,760
Speaker 1: this claim, which came directly from that CEO of the company,

1125
01:00:52,800 --> 01:00:55,400
Speaker 1: that the nine hundred fired workers were only working two

1126
01:00:55,400 --> 01:00:57,920
Speaker 1: hours per day. Garg had written as much on an

1127
01:00:57,920 --> 01:01:00,400
Speaker 1: Internet forum where he claimed that those employees were then

1128
01:01:00,520 --> 01:01:04,320
Speaker 1: stealing from the company. This appears to be categorically false,

1129
01:01:04,320 --> 01:01:07,760
Speaker 1: as Harris Faulkner sort of delicately suggests there employees who

1130
01:01:07,760 --> 01:01:10,360
Speaker 1: had just recently been praised for their work ethic and

1131
01:01:10,400 --> 01:01:13,800
Speaker 1: who had recently been promoted. They were terminated, and Garg

1132
01:01:13,840 --> 01:01:16,440
Speaker 1: apparently doesn't think much of the remaining staff either. By

1133
01:01:16,440 --> 01:01:20,160
Speaker 1: the way, he'd previously derided the entire workforce as quote

1134
01:01:20,320 --> 01:01:23,680
Speaker 1: dumb dolphins, and there was that whole threatening a bloodbath

1135
01:01:23,720 --> 01:01:27,040
Speaker 1: thing as well. In reality, the layoffs were not at

1136
01:01:27,040 --> 01:01:29,760
Speaker 1: all the fault of the workers. Better dot Com staffed

1137
01:01:29,800 --> 01:01:33,400
Speaker 1: up massively while mortgage lending was going gangbusters. Now that

1138
01:01:33,480 --> 01:01:35,880
Speaker 1: rates have started to tick back up a bit, the

1139
01:01:35,920 --> 01:01:39,240
Speaker 1: pace of new mortgages and refis has slowed, and that's

1140
01:01:39,280 --> 01:01:41,640
Speaker 1: left Better dot Com in a very tough spot as

1141
01:01:41,640 --> 01:01:44,640
Speaker 1: they moved towards a public offering. That's not the fault

1142
01:01:44,680 --> 01:01:47,160
Speaker 1: of the employees, but it does kind of suggest some

1143
01:01:47,240 --> 01:01:50,720
Speaker 1: poor planning on the part of management. Finally, I enjoy

1144
01:01:50,800 --> 01:01:53,200
Speaker 1: the discomfort of the other Fox hosts on set here

1145
01:01:53,280 --> 01:01:56,640
Speaker 1: is Kaylee Mcananey and Harris Faukner. At least gleeful and

1146
01:01:56,720 --> 01:02:00,360
Speaker 1: celebratory reaction is in some ways more honest, because if

1147
01:02:00,400 --> 01:02:02,840
Speaker 1: you truly buy into the glory of the full on

1148
01:02:03,040 --> 01:02:07,720
Speaker 1: unfettered capitalism program, mass capricious firings based on shifts and

1149
01:02:07,800 --> 01:02:10,280
Speaker 1: market wins, well that's exactly what you have to be

1150
01:02:10,360 --> 01:02:12,840
Speaker 1: down for. You have to be ready to celebrate, as

1151
01:02:12,880 --> 01:02:16,240
Speaker 1: Emily does, nine hundred jobs lost and lives destroyed because

1152
01:02:16,240 --> 01:02:18,920
Speaker 1: the mortgage rates happened to tick up half a point, or,

1153
01:02:18,920 --> 01:02:21,840
Speaker 1: in another example, the decimation of American small towns and

1154
01:02:21,880 --> 01:02:24,800
Speaker 1: cities because free trade demands it. You have to then

1155
01:02:24,920 --> 01:02:27,680
Speaker 1: turn around and argue that those who lost their livelihoods

1156
01:02:27,680 --> 01:02:29,840
Speaker 1: that they don't deserve any safety that or help getting

1157
01:02:29,840 --> 01:02:32,200
Speaker 1: back on their feet, let alone medical care. And if

1158
01:02:32,240 --> 01:02:34,440
Speaker 1: you're upset about any of these things, then you are

1159
01:02:34,480 --> 01:02:37,960
Speaker 1: a lazy snowflake. It's quite telling after all that while

1160
01:02:38,000 --> 01:02:41,000
Speaker 1: the CEO has been made to apologize for his insensitivity

1161
01:02:41,320 --> 01:02:43,600
Speaker 1: and take a leave of absence, while the board engages

1162
01:02:43,600 --> 01:02:47,320
Speaker 1: in some BS analysis of workplace culture, the layoffs are

1163
01:02:47,320 --> 01:02:49,960
Speaker 1: still going forward. The board didn't have an issue with

1164
01:02:50,000 --> 01:02:53,240
Speaker 1: the firings, They just had a problem with the indelicacy

1165
01:02:53,400 --> 01:02:56,600
Speaker 1: of how it was all done. They wanted nine hundred

1166
01:02:56,640 --> 01:02:59,520
Speaker 1: people to lose their jobs before Christmas. They just wanted

1167
01:02:59,560 --> 01:03:02,560
Speaker 1: it done with more decorum. I mean, does it really

1168
01:03:02,600 --> 01:03:05,040
Speaker 1: matter to you whether your job ending zoom call was

1169
01:03:05,080 --> 01:03:07,960
Speaker 1: done one on one with an HR professional in thirty

1170
01:03:08,000 --> 01:03:10,360
Speaker 1: minutes or in a mass meeting with the CEO in

1171
01:03:10,400 --> 01:03:14,360
Speaker 1: three minutes. Ultimately, the end result is the same. Now,

1172
01:03:14,360 --> 01:03:16,000
Speaker 1: there's a few other things that you should know about

1173
01:03:16,040 --> 01:03:18,400
Speaker 1: Better dot Com CEO. That speaks to the sort of

1174
01:03:18,400 --> 01:03:21,080
Speaker 1: people who succeed in our grand meritocracy here and those

1175
01:03:21,120 --> 01:03:24,280
Speaker 1: who get fired in mass zoom meetings. That also speaks

1176
01:03:24,320 --> 01:03:27,640
Speaker 1: to what exactly Emily is celebrating. Garg has been sued

1177
01:03:27,680 --> 01:03:31,720
Speaker 1: for fraud repeatedly by his business partners and his former friends.

1178
01:03:32,000 --> 01:03:36,120
Speaker 1: He's been accused of siphoning millions into his personal accounts

1179
01:03:36,120 --> 01:03:39,160
Speaker 1: and several different complex business deals involving shell companies in

1180
01:03:39,200 --> 01:03:42,280
Speaker 1: the Cayman Islands, and a deposition over one of these

1181
01:03:42,280 --> 01:03:45,320
Speaker 1: claims of betrayal in fraud, Garg turned to his former

1182
01:03:45,400 --> 01:03:48,440
Speaker 1: best friend and informed him he was going to staple

1183
01:03:48,560 --> 01:03:52,600
Speaker 1: him against an effing wall and burn him alive. In

1184
01:03:52,680 --> 01:03:55,520
Speaker 1: Garg's Disney version of Better dot COM's founding, he started

1185
01:03:55,520 --> 01:03:57,880
Speaker 1: the company when he and his fiance lost down on

1186
01:03:57,920 --> 01:04:01,160
Speaker 1: a home because of a cumbersome mortgage profits. According to

1187
01:04:01,160 --> 01:04:04,360
Speaker 1: the allegations of former associates, Better dot Com was actually

1188
01:04:04,480 --> 01:04:09,480
Speaker 1: launched with illicit money siphoned into Gark's accounts using stolen technology,

1189
01:04:09,880 --> 01:04:12,200
Speaker 1: and yet, in spite of all of that, or perhaps

1190
01:04:12,200 --> 01:04:15,400
Speaker 1: because of it, Garg is a billionaire. As John Steinbeck

1191
01:04:15,440 --> 01:04:20,600
Speaker 1: once wrote, the things we admire in men, kindness and generosity, openness, honesty, understanding,

1192
01:04:20,600 --> 01:04:24,120
Speaker 1: and feeling are the concommitments of failure in our system,

1193
01:04:24,520 --> 01:04:28,720
Speaker 1: and those traits we detest. Sharpness, greed, inquisitiveness, meanness, egotism,

1194
01:04:28,720 --> 01:04:31,400
Speaker 1: and self interest are the traits of success. And while

1195
01:04:31,440 --> 01:04:34,040
Speaker 1: men admire the quality of the first, they love the

1196
01:04:34,120 --> 01:04:37,760
Speaker 1: produce of the second. Emily's delight in these firings might

1197
01:04:37,800 --> 01:04:40,920
Speaker 1: have been unseemly to watch, but her ideology runs the country,

1198
01:04:41,120 --> 01:04:43,400
Speaker 1: elevates the liars, the thieves, and the cruel to the

1199
01:04:43,520 --> 01:04:46,320
Speaker 1: very top, and pretending that those who aren't willing to

1200
01:04:46,400 --> 01:04:48,760
Speaker 1: cheat their way to the point one percent are the

1201
01:04:48,800 --> 01:04:53,200
Speaker 1: ones with the moral failings. Pretty interesting comments there, Yeah,

1202
01:04:53,240 --> 01:04:55,720
Speaker 1: you know, just plan to like, just go and fall

1203
01:04:55,800 --> 01:04:58,920
Speaker 1: in on And if you want to hear my reaction

1204
01:04:59,080 --> 01:05:02,640
Speaker 1: to Crystal's model become a premium subscriber today at Breakingpoints

1205
01:05:02,680 --> 01:05:08,080
Speaker 1: dot Com. All right, Sager, what are you looking at? Well?

1206
01:05:08,520 --> 01:05:12,000
Speaker 1: Yesterday we react as specifically to Chris Wallace's shock announcement

1207
01:05:12,000 --> 01:05:15,840
Speaker 1: that he's leaving Fox News for CNN's streaming platform. I

1208
01:05:15,880 --> 01:05:18,439
Speaker 1: thought we were done, But honestly, the more I thought

1209
01:05:18,480 --> 01:05:20,880
Speaker 1: about it and the more information I read about corporate

1210
01:05:20,920 --> 01:05:23,040
Speaker 1: media and their plans to try and compete out here

1211
01:05:23,080 --> 01:05:25,720
Speaker 1: in the streaming world. The more I realized that we

1212
01:05:25,800 --> 01:05:28,960
Speaker 1: had a lot more to say. Wallace's departure from Fox

1213
01:05:29,000 --> 01:05:31,240
Speaker 1: News is not just a one on event. It is

1214
01:05:31,280 --> 01:05:34,240
Speaker 1: the beginning of a new war. As the Axios graph

1215
01:05:34,280 --> 01:05:36,320
Speaker 1: you can see in front of you shows, the number

1216
01:05:36,320 --> 01:05:39,600
Speaker 1: of people who are paying TV subscribers has dropped seven

1217
01:05:39,640 --> 01:05:42,440
Speaker 1: point three percent in just the last six years. As

1218
01:05:42,480 --> 01:05:45,280
Speaker 1: the boomer audiences of cable news began to age, the

1219
01:05:45,320 --> 01:05:48,040
Speaker 1: cable news networks have woken up. They're going in an

1220
01:05:48,080 --> 01:05:51,080
Speaker 1: all out battle for talent in the streaming wars. Chris

1221
01:05:51,080 --> 01:05:55,320
Speaker 1: Wallace will join Casey Hunt at CNN Plus for live programming,

1222
01:05:55,680 --> 01:05:58,400
Speaker 1: but that's just the tip of the iceberg. NBC News

1223
01:05:58,440 --> 01:06:01,720
Speaker 1: has now hired two hundred people to join its NBC

1224
01:06:01,800 --> 01:06:04,560
Speaker 1: News Now streaming service, and they've even launched a show

1225
01:06:04,600 --> 01:06:07,360
Speaker 1: with a guy named Joshua Johnson, who I've literally never

1226
01:06:07,360 --> 01:06:10,680
Speaker 1: heard of. Fox News after failing miserably with Fox Nation

1227
01:06:11,080 --> 01:06:14,600
Speaker 1: is adding weather programming to the online service, and CBS

1228
01:06:14,600 --> 01:06:17,120
Speaker 1: News is now going all in on a streamline version

1229
01:06:17,280 --> 01:06:21,360
Speaker 1: of online CBS. These people are pouring billions of dollars

1230
01:06:21,400 --> 01:06:25,040
Speaker 1: into this war. They're giving multimillion dollar contracts out before

1231
01:06:25,080 --> 01:06:28,480
Speaker 1: they've even launched. There's just one problem, why would anyone

1232
01:06:28,600 --> 01:06:32,280
Speaker 1: pay for literally any of this? Remember the original CNN

1233
01:06:32,320 --> 01:06:36,439
Speaker 1: plus announcement They're going to add stuff online, but none

1234
01:06:36,480 --> 01:06:40,680
Speaker 1: of the stuff that's actually valuable from CNN aka live

1235
01:06:40,840 --> 01:06:47,240
Speaker 1: news programming during breaking events. Why Because CNN, NBC, Fox,

1236
01:06:47,360 --> 01:06:51,560
Speaker 1: and others are currently embroiled in multi billion dollar deals

1237
01:06:51,760 --> 01:06:55,680
Speaker 1: with cable news carriers who have exclusive rights to their

1238
01:06:55,760 --> 01:06:59,640
Speaker 1: live programming for breaking news, meaning that when CNN or

1239
01:06:59,720 --> 01:07:02,560
Speaker 1: NBC News say they're going to be offering something live online,

1240
01:07:02,720 --> 01:07:06,840
Speaker 1: it's not the cool live programming, it's their live news

1241
01:07:07,000 --> 01:07:11,040
Speaker 1: panels or live commentary. And in that case, I think

1242
01:07:11,080 --> 01:07:13,280
Speaker 1: we could safely say go ahead and bring it on.

1243
01:07:13,720 --> 01:07:16,520
Speaker 1: The reason that Breaking Points and many other independent news

1244
01:07:16,560 --> 01:07:19,920
Speaker 1: organizations have succeeded in recent years is because we can

1245
01:07:19,960 --> 01:07:23,480
Speaker 1: compete on a relatively level playing field in the world

1246
01:07:23,640 --> 01:07:28,360
Speaker 1: of commentary and presentation aggregation and in domestic news consumption

1247
01:07:28,680 --> 01:07:34,120
Speaker 1: and gathering. That's a relatively low marginal cost business, meaning

1248
01:07:34,320 --> 01:07:38,360
Speaker 1: that the market determines who wins and loses. Cable news,

1249
01:07:38,360 --> 01:07:41,400
Speaker 1: though by definition, is a rigged market. There are only

1250
01:07:41,480 --> 01:07:44,960
Speaker 1: three major channels, but the Internet is endless, and in

1251
01:07:45,000 --> 01:07:48,320
Speaker 1: the world of endless options, who is going to pick

1252
01:07:48,360 --> 01:07:51,240
Speaker 1: a Chris Wallace to listen to or a Casey Hunt?

1253
01:07:51,400 --> 01:07:53,880
Speaker 1: Who amever this? Joshua Johnson and I no, no, no.

1254
01:07:54,440 --> 01:07:57,200
Speaker 1: In our world, you actually have to be attuned not

1255
01:07:57,240 --> 01:08:00,640
Speaker 1: only to what people want, but what they actually care about.

1256
01:08:01,320 --> 01:08:04,640
Speaker 1: For years, the inane and terrible cable news commentary has

1257
01:08:04,680 --> 01:08:08,160
Speaker 1: been subsidized by live news. People like to be able

1258
01:08:08,280 --> 01:08:11,360
Speaker 1: to switch on the TV and watch crazy stuff like

1259
01:08:11,560 --> 01:08:15,080
Speaker 1: nine to eleven or Riots or January sixth or COVID.

1260
01:08:15,440 --> 01:08:18,400
Speaker 1: The problem is that doesn't happen that often, so they

1261
01:08:18,439 --> 01:08:21,960
Speaker 1: fill the in between parts with Joan Reid or Chris

1262
01:08:22,000 --> 01:08:24,760
Speaker 1: Cuomo or any of the other terrible blather that has

1263
01:08:24,840 --> 01:08:28,680
Speaker 1: ruined our country's political discourse for years. They have benefited

1264
01:08:28,720 --> 01:08:32,519
Speaker 1: from a rigged game, and streaming is the unspooling of

1265
01:08:32,560 --> 01:08:34,720
Speaker 1: it all. Attention at the end of the day is

1266
01:08:34,800 --> 01:08:37,479
Speaker 1: zero sum. You either listen to someone or you don't.

1267
01:08:37,760 --> 01:08:40,120
Speaker 1: And in this world, they're about to have a very

1268
01:08:40,240 --> 01:08:43,640
Speaker 1: rude root awakening. But I don't want to take too

1269
01:08:43,760 --> 01:08:47,559
Speaker 1: much of a rosy picture and sugarcoated. The battle is

1270
01:08:47,640 --> 01:08:50,400
Speaker 1: really just beginning, because this fight will be just like

1271
01:08:50,439 --> 01:08:53,439
Speaker 1: the one for the Internet. The Internet started out as

1272
01:08:53,479 --> 01:08:56,920
Speaker 1: a free and prosperous place, a democratization of information that

1273
01:08:57,080 --> 01:08:59,519
Speaker 1: enables the little to fight against the small. The Internet

1274
01:08:59,560 --> 01:09:01,400
Speaker 1: of two thousand and six was the birthplace of the

1275
01:09:01,439 --> 01:09:04,679
Speaker 1: anti war movement and voices that sprang forward in response

1276
01:09:04,680 --> 01:09:09,520
Speaker 1: to the dominant media ecosystem. But slowly over time corporations

1277
01:09:09,560 --> 01:09:12,120
Speaker 1: realize the power of the Internet. They decided to exert

1278
01:09:12,160 --> 01:09:15,760
Speaker 1: pressure on the tech companies to seize control of all discourse,

1279
01:09:16,040 --> 01:09:19,280
Speaker 1: to rig the platforms in favor of the established players.

1280
01:09:20,080 --> 01:09:22,960
Speaker 1: This same war is coming to our space right now

1281
01:09:23,160 --> 01:09:25,799
Speaker 1: with streaming news. The same war is going to happen.

1282
01:09:26,080 --> 01:09:28,280
Speaker 1: First they ignored us, then they will become just as

1283
01:09:28,320 --> 01:09:31,800
Speaker 1: big as them. Now they're entering the space right now

1284
01:09:31,840 --> 01:09:35,120
Speaker 1: on YouTube, you see them already getting preferential treatment. They

1285
01:09:35,120 --> 01:09:37,280
Speaker 1: will try to do the same thing with streaming news,

1286
01:09:37,439 --> 01:09:41,760
Speaker 1: rigging podcast platforms and elsewhere to recommend their content over

1287
01:09:41,840 --> 01:09:44,280
Speaker 1: hours and many others of our friends in this space.

1288
01:09:44,640 --> 01:09:48,439
Speaker 1: Soon the drive to outright censor will materialize under the

1289
01:09:48,479 --> 01:09:51,559
Speaker 1: guys that because more people watch us than them, they

1290
01:09:51,600 --> 01:09:54,200
Speaker 1: need to fact check or control the quality of information.

1291
01:09:54,560 --> 01:09:57,120
Speaker 1: These dying suns are not going to go quietly into

1292
01:09:57,120 --> 01:09:59,719
Speaker 1: the night, and the more that they enter our sphere

1293
01:10:00,040 --> 01:10:03,040
Speaker 1: and realize how many of us despise them, the more

1294
01:10:03,120 --> 01:10:05,880
Speaker 1: vicious the battle for the future actually will be. The

1295
01:10:05,920 --> 01:10:08,840
Speaker 1: first version and promise of the Internet was lost, but

1296
01:10:08,880 --> 01:10:10,760
Speaker 1: I do still have some hope in all of you.

1297
01:10:11,320 --> 01:10:13,719
Speaker 1: A business can only be fake for so long before

1298
01:10:13,760 --> 01:10:17,400
Speaker 1: real people's preferences ultimately have to be taken into account.

1299
01:10:17,600 --> 01:10:20,120
Speaker 1: And as fake as the world has been, the Internet

1300
01:10:20,120 --> 01:10:23,360
Speaker 1: has still pushed us towards a place for consumer preference.

1301
01:10:23,720 --> 01:10:25,600
Speaker 1: All of this is just to say that we have

1302
01:10:25,680 --> 01:10:27,880
Speaker 1: to fight. What gives me life is the idea that

1303
01:10:27,920 --> 01:10:30,400
Speaker 1: people are actually starting to wake up and are done

1304
01:10:30,400 --> 01:10:33,639
Speaker 1: with the fake newsmongers over on cable news. But let's

1305
01:10:33,680 --> 01:10:36,400
Speaker 1: just make sure that they die with the medium in

1306
01:10:36,479 --> 01:10:39,400
Speaker 1: striving to take instead of trying to take over hours

1307
01:10:39,479 --> 01:10:41,840
Speaker 1: and the new frontier. That was the thing Christal as

1308
01:10:41,920 --> 01:10:44,559
Speaker 1: I was struck by the Chris Wallace thing is at

1309
01:10:44,560 --> 01:10:46,439
Speaker 1: first here you make fun of it and all of that,

1310
01:10:46,479 --> 01:10:48,800
Speaker 1: but I realize, oh no, this is going to be

1311
01:10:48,960 --> 01:10:52,120
Speaker 1: an all out vicious war. And if you want to

1312
01:10:52,160 --> 01:10:55,760
Speaker 1: hear my reaction to Sager's monologue. Become a premium subscriber

1313
01:10:55,800 --> 01:11:01,840
Speaker 1: today at Breakingpoints dot Com joining us. Now we have

1314
01:11:01,960 --> 01:11:05,120
Speaker 1: Lucas Koons. He is a Democrat running for Senate in

1315
01:11:05,160 --> 01:11:08,240
Speaker 1: the great state of Missouri. Also has been on Breaking

1316
01:11:08,240 --> 01:11:11,000
Speaker 1: Points before talking about the withdrawal from Afghanistan, was on

1317
01:11:11,160 --> 01:11:14,320
Speaker 1: Rising before that talking about China. Worked with our friend

1318
01:11:14,320 --> 01:11:18,439
Speaker 1: Matt Stoler on antitrust issues as well. Great to see Lucas, Yeah,

1319
01:11:18,520 --> 01:11:21,160
Speaker 1: great to be here. Thanks for having me. Absolutely so

1320
01:11:21,200 --> 01:11:23,759
Speaker 1: we've introduced you to our audience in any number of ways,

1321
01:11:23,760 --> 01:11:26,920
Speaker 1: but not so much as a political candidate. So just

1322
01:11:26,960 --> 01:11:29,880
Speaker 1: talk to us about why you decided to run. And look,

1323
01:11:29,920 --> 01:11:31,800
Speaker 1: it's tough sledding for a Democrat at this point in

1324
01:11:31,800 --> 01:11:33,559
Speaker 1: the state of Missouri. Why do you think you got

1325
01:11:33,600 --> 01:11:36,360
Speaker 1: a shot? Sure, let's do it. I mean I think

1326
01:11:36,360 --> 01:11:38,479
Speaker 1: I have a shot exactly because of the reason why

1327
01:11:38,479 --> 01:11:41,679
Speaker 1: I'm running, and that's that I truly believe that we

1328
01:11:41,800 --> 01:11:44,759
Speaker 1: need to fundamentally change who has power in our country.

1329
01:11:44,960 --> 01:11:47,640
Speaker 1: And so, you know, like for me, I've seen my

1330
01:11:47,720 --> 01:11:51,880
Speaker 1: state Missouri just get absolutely stripped for parts by you know,

1331
01:11:51,880 --> 01:11:54,000
Speaker 1: a set of people who've been buying off our politicians,

1332
01:11:54,040 --> 01:11:55,680
Speaker 1: and I'm tired of it. You know, I joined the

1333
01:11:55,680 --> 01:11:59,960
Speaker 1: Marine Corps. I did thirteen years in the Marine Corps Iraq, Afghanistan,

1334
01:12:00,120 --> 01:12:02,760
Speaker 1: and thinking that, you know, this was the best way

1335
01:12:02,800 --> 01:12:04,560
Speaker 1: to serve the community I grew up, and this was

1336
01:12:04,600 --> 01:12:07,080
Speaker 1: the way to pay them back for helping us out

1337
01:12:07,120 --> 01:12:09,719
Speaker 1: when we went bankrupt for my little sister's medical bills

1338
01:12:09,760 --> 01:12:12,240
Speaker 1: and a bunch of other stuff. And then, you know,

1339
01:12:12,280 --> 01:12:14,640
Speaker 1: I just come home again and again. During those deployments

1340
01:12:14,720 --> 01:12:16,880
Speaker 1: or after those deployments, I see the first house I

1341
01:12:16,920 --> 01:12:19,559
Speaker 1: lived in, bulldoze down, the corner store boarded up, the

1342
01:12:19,600 --> 01:12:22,000
Speaker 1: one I joined the Marine Corps out of, just kind

1343
01:12:22,000 --> 01:12:24,839
Speaker 1: of falling apart. And it's just, you know, the reason

1344
01:12:24,920 --> 01:12:26,880
Speaker 1: for that is that we have a lot of people

1345
01:12:26,920 --> 01:12:30,520
Speaker 1: at the top who are again pairing up with our politicians,

1346
01:12:30,520 --> 01:12:33,760
Speaker 1: buying off our politicians to strip communities like the one

1347
01:12:34,240 --> 01:12:36,439
Speaker 1: that I grew up in for parts. And you know what,

1348
01:12:36,640 --> 01:12:39,519
Speaker 1: Missouri is the front lines for that battle. And I'm

1349
01:12:39,520 --> 01:12:42,600
Speaker 1: bringing to the house, Lucas, I'm curious, I mean to

1350
01:12:42,680 --> 01:12:45,599
Speaker 1: be blunt, Joe Biden is not doing well. His approval

1351
01:12:45,640 --> 01:12:49,760
Speaker 1: rating is low. What is your estimation as to why

1352
01:12:49,800 --> 01:12:52,320
Speaker 1: the national mood of the country is. And since you

1353
01:12:52,360 --> 01:12:55,080
Speaker 1: are in the same party as the president, many politics

1354
01:12:55,120 --> 01:12:57,080
Speaker 1: are national right now, how are you going to distinguish

1355
01:12:57,160 --> 01:13:00,400
Speaker 1: yourself from the president of the United States. Look, people

1356
01:13:00,479 --> 01:13:03,600
Speaker 1: don't believe in institutions anymore. I mean that's what we

1357
01:13:03,640 --> 01:13:05,880
Speaker 1: see all across the state, and they feel like they

1358
01:13:05,920 --> 01:13:09,000
Speaker 1: have no power, and so like, like for me, what

1359
01:13:09,080 --> 01:13:11,360
Speaker 1: I see is I don't see anything that meets the

1360
01:13:11,400 --> 01:13:16,479
Speaker 1: needs of everyday people in in this power dynamic. And

1361
01:13:16,520 --> 01:13:19,000
Speaker 1: so what I mean by that is, you know, wherever

1362
01:13:19,080 --> 01:13:20,840
Speaker 1: I go in Missouri, like people often ask me what

1363
01:13:20,880 --> 01:13:22,559
Speaker 1: does it feel like when you go around the state,

1364
01:13:22,680 --> 01:13:24,840
Speaker 1: and like what are people feeling and what's the mood?

1365
01:13:24,880 --> 01:13:28,000
Speaker 1: And like the mood is that no matter what they do,

1366
01:13:28,120 --> 01:13:30,640
Speaker 1: no matter what who they vote for, no matter you know,

1367
01:13:31,280 --> 01:13:35,479
Speaker 1: what happens, they just never have any power and the

1368
01:13:35,520 --> 01:13:37,920
Speaker 1: system is broken and it's never going to change. And

1369
01:13:37,960 --> 01:13:40,080
Speaker 1: so so like one of the things I hear about

1370
01:13:40,080 --> 01:13:42,320
Speaker 1: the infrastructure bill is you know, I hear the administration

1371
01:13:42,400 --> 01:13:44,919
Speaker 1: talking about oh 'or put finally putting money into the country.

1372
01:13:45,120 --> 01:13:48,200
Speaker 1: It's going to create all these good jobs. And it's like, yeah, great,

1373
01:13:48,200 --> 01:13:50,559
Speaker 1: it's going to create a decent number of good union jobs,

1374
01:13:50,560 --> 01:13:53,639
Speaker 1: which is super but like, here's the deal. We all

1375
01:13:53,680 --> 01:13:56,599
Speaker 1: watched US spend six point four trillion dollars in Iraq

1376
01:13:56,600 --> 01:13:59,920
Speaker 1: in Afghanistan for nothing. Then we watched everybody in DC

1377
01:14:00,240 --> 01:14:03,400
Speaker 1: squabble over every single nickel they were going to spend. Here,

1378
01:14:03,520 --> 01:14:05,759
Speaker 1: we got a fraction of that money to go through.

1379
01:14:06,160 --> 01:14:08,120
Speaker 1: And the worry is when I go around the state

1380
01:14:08,200 --> 01:14:10,680
Speaker 1: that like, you know, maybe this is mission started, but

1381
01:14:10,720 --> 01:14:13,839
Speaker 1: we're acting like it's mission accomplished when we haven't actually

1382
01:14:13,960 --> 01:14:16,679
Speaker 1: seen if that money's going to help normal everyday people.

1383
01:14:16,720 --> 01:14:18,760
Speaker 1: Because you know, people in our state have been told

1384
01:14:18,760 --> 01:14:20,880
Speaker 1: that the money spent in Iraq and Afghanistan, you know,

1385
01:14:20,920 --> 01:14:22,439
Speaker 1: it was worth it, it was going to be good

1386
01:14:22,479 --> 01:14:24,200
Speaker 1: for them. Well it turned out to be a big,

1387
01:14:24,240 --> 01:14:26,839
Speaker 1: fat waste. They were told that the Wall Street bailout

1388
01:14:26,920 --> 01:14:28,720
Speaker 1: money was good, it was going to help them out.

1389
01:14:28,920 --> 01:14:32,080
Speaker 1: Well guess what. Everybody got foreclosed on Missouri anyway, and

1390
01:14:32,160 --> 01:14:36,520
Speaker 1: housing stock prices went down, down, down, when frankly, Democrats

1391
01:14:36,600 --> 01:14:39,320
Speaker 1: nationwide we're saying they'd saved the housing economy. So like

1392
01:14:39,840 --> 01:14:42,080
Speaker 1: Missouri is the show me state. People have to actually

1393
01:14:42,160 --> 01:14:44,280
Speaker 1: see how this is going to help them, and right now,

1394
01:14:44,320 --> 01:14:46,920
Speaker 1: like there's no indication that it's not going to be

1395
01:14:47,000 --> 01:14:49,400
Speaker 1: captured by the people at the top, the same people

1396
01:14:49,439 --> 01:14:52,559
Speaker 1: who capture money every single time. That never works out

1397
01:14:52,560 --> 01:14:56,880
Speaker 1: for everybody else. Why do you think that Democrats have

1398
01:14:57,080 --> 01:15:02,400
Speaker 1: fallen so precipitously in popularity in your home state? You know,

1399
01:15:02,840 --> 01:15:05,880
Speaker 1: Democrats used to be the party of working people. It's

1400
01:15:05,880 --> 01:15:08,320
Speaker 1: the roots of the party. We should still be there.

1401
01:15:08,360 --> 01:15:10,360
Speaker 1: But I mean, I hate to say it, but like

1402
01:15:11,400 --> 01:15:15,080
Speaker 1: our party's leadership decided at one point that money was

1403
01:15:15,120 --> 01:15:18,040
Speaker 1: what mattered most to them. They went for Wall Street,

1404
01:15:18,080 --> 01:15:21,240
Speaker 1: they went for big tech money. They sold out, and

1405
01:15:21,400 --> 01:15:26,080
Speaker 1: the results, you know, they hit Missouri hard. I mean, globalization, consolidation,

1406
01:15:26,280 --> 01:15:29,320
Speaker 1: Wall Street, ship and stuff overseas, corporate boards moving things

1407
01:15:29,360 --> 01:15:32,400
Speaker 1: out for quarter early profits like this gutted our state.

1408
01:15:32,840 --> 01:15:36,880
Speaker 1: And Democrats sold out just as much as Republicans. And

1409
01:15:36,880 --> 01:15:39,559
Speaker 1: and that was really our bread and butter. You know,

1410
01:15:39,600 --> 01:15:42,360
Speaker 1: Republicans never claimed that. So there wasn't this sort of

1411
01:15:42,720 --> 01:15:45,880
Speaker 1: like loss of trust in quite the same way. And

1412
01:15:46,120 --> 01:15:47,599
Speaker 1: I mean, I give you a couple of good examples

1413
01:15:47,640 --> 01:15:49,920
Speaker 1: of just just going around the state here in Missouri.

1414
01:15:50,040 --> 01:15:52,720
Speaker 1: So yeah, go ahead, do it, Yeah, super so so,

1415
01:15:53,080 --> 01:15:55,599
Speaker 1: and I'll give you one on a farm and one

1416
01:15:55,600 --> 01:15:57,559
Speaker 1: in the inner city. And so, you know, I'm at

1417
01:15:57,600 --> 01:16:00,640
Speaker 1: this farm in paul Myra, Missouri, where where you know,

1418
01:16:00,680 --> 01:16:04,439
Speaker 1: these farmers have seen ninety percent of their fellow small

1419
01:16:04,439 --> 01:16:09,000
Speaker 1: family hog farmers just absolutely destroyed by a corporate monopoly

1420
01:16:09,120 --> 01:16:12,960
Speaker 1: called Smithfield in just a generation. So you know, we've

1421
01:16:12,960 --> 01:16:15,720
Speaker 1: lost ninety percent of Missouri hog farmers. I meet with

1422
01:16:15,760 --> 01:16:18,960
Speaker 1: about a forty or fifty farmers at a farm in Palmyra.

1423
01:16:19,439 --> 01:16:21,400
Speaker 1: They're talking about how upset they are about it, how

1424
01:16:21,400 --> 01:16:24,160
Speaker 1: oppressive it is, how they lost all their neighbors. And

1425
01:16:24,280 --> 01:16:28,640
Speaker 1: then how the Missouri state legislature. Well, so then how

1426
01:16:28,840 --> 01:16:31,479
Speaker 1: China or Smithfield wanted to sell itself to China in

1427
01:16:31,479 --> 01:16:34,679
Speaker 1: twenty thirteen, but they weren't allowed to do that because

1428
01:16:34,720 --> 01:16:37,200
Speaker 1: Missouri had a law on the books that said there'd

1429
01:16:37,280 --> 01:16:40,120
Speaker 1: be no foreign ownership of agricultural land in Missouri. And

1430
01:16:40,200 --> 01:16:42,360
Speaker 1: so then this is where you really get to the

1431
01:16:42,400 --> 01:16:45,760
Speaker 1: loss of power. Smithfield went and they gave a lot

1432
01:16:45,840 --> 01:16:49,080
Speaker 1: of money to Democrats and Republicans in the Missouri state

1433
01:16:49,160 --> 01:16:52,360
Speaker 1: legislature to change that law. And the Missouri state legislature

1434
01:16:52,360 --> 01:16:55,120
Speaker 1: did that. They changed the law Smithfield, this company that

1435
01:16:55,240 --> 01:16:58,240
Speaker 1: killed all over hog farmers and runs the profit off

1436
01:16:58,280 --> 01:17:01,720
Speaker 1: of Missouri land, now sold itself to China because the

1437
01:17:01,720 --> 01:17:04,519
Speaker 1: state legislature changed the law to make that happen. And

1438
01:17:04,560 --> 01:17:06,800
Speaker 1: now these guys see like all the profits from their

1439
01:17:06,880 --> 01:17:09,920
Speaker 1: land going overseas. And so for them, it's just this

1440
01:17:10,520 --> 01:17:14,360
Speaker 1: idea that you know, their state legislature, Democrat and Republican,

1441
01:17:14,720 --> 01:17:17,600
Speaker 1: would sell out in a position where they had absolutely

1442
01:17:17,600 --> 01:17:19,880
Speaker 1: no power, like the normal people, had no power other

1443
01:17:19,920 --> 01:17:22,160
Speaker 1: than what their legislature would give them. And you know

1444
01:17:22,240 --> 01:17:24,559
Speaker 1: they sold them out anyway, and now the profits go

1445
01:17:24,600 --> 01:17:27,479
Speaker 1: to China, and you know, the land is getting treated

1446
01:17:27,520 --> 01:17:29,559
Speaker 1: worse than ever and everything else. And so for them

1447
01:17:29,960 --> 01:17:32,519
Speaker 1: it's just like why would I ever have faith in

1448
01:17:32,560 --> 01:17:36,679
Speaker 1: anyone anymore? The system is broken, Massive monopolies control my life,

1449
01:17:37,040 --> 01:17:39,320
Speaker 1: and like even worse, it goes to people that they

1450
01:17:39,360 --> 01:17:42,479
Speaker 1: say is our adversary. And then I was, And then

1451
01:17:42,479 --> 01:17:46,040
Speaker 1: I was in urban Saint Louis at a place called

1452
01:17:46,080 --> 01:17:48,840
Speaker 1: the south Side Wellness Center where the person who runs it,

1453
01:17:48,880 --> 01:17:53,320
Speaker 1: so this is a retirement home and health center in

1454
01:17:53,439 --> 01:17:56,680
Speaker 1: an all black community, and so it's been run by

1455
01:17:56,680 --> 01:17:59,240
Speaker 1: this family for about forty years. She's got all these

1456
01:17:59,280 --> 01:18:02,160
Speaker 1: pictures going back taking care of people, and she comes

1457
01:18:02,160 --> 01:18:04,640
Speaker 1: to me with a similar message, and that's that, you

1458
01:18:04,680 --> 01:18:07,160
Speaker 1: know what, if there's one thing that I could ask

1459
01:18:07,200 --> 01:18:10,160
Speaker 1: you to do for me, it's this. For many years,

1460
01:18:10,400 --> 01:18:13,080
Speaker 1: we bought all our food locally. We had a chef here,

1461
01:18:13,120 --> 01:18:16,800
Speaker 1: we prepared everything and made good meals for everybody. And

1462
01:18:16,840 --> 01:18:20,200
Speaker 1: then a massive corporation came in. They bought off our

1463
01:18:20,280 --> 01:18:23,479
Speaker 1: politicians and they convinced them that it was important for

1464
01:18:23,520 --> 01:18:26,280
Speaker 1: them to have a contract for all medicaid food. And

1465
01:18:26,320 --> 01:18:29,400
Speaker 1: she said, so, now I can't buy locally anymore. I

1466
01:18:29,479 --> 01:18:32,320
Speaker 1: have to buy from a single monopolistic company that comes

1467
01:18:32,320 --> 01:18:33,760
Speaker 1: out of I don't know, it was like Florida or

1468
01:18:33,800 --> 01:18:36,360
Speaker 1: something like that, way out of state. They send us

1469
01:18:36,400 --> 01:18:39,360
Speaker 1: this crappy food. It's over, it's got too much sodium

1470
01:18:39,360 --> 01:18:42,040
Speaker 1: on it. It's increasing everyone's blood pressure. And now where

1471
01:18:42,080 --> 01:18:44,320
Speaker 1: I used to be able to keep the money in

1472
01:18:44,360 --> 01:18:46,640
Speaker 1: the community, in the black community here, now I have

1473
01:18:46,720 --> 01:18:48,960
Speaker 1: to send it away and my people get worse food

1474
01:18:49,200 --> 01:18:51,200
Speaker 1: and they're worse off health wise. She's like, if there's

1475
01:18:51,320 --> 01:18:54,439
Speaker 1: just something you can do about this, I feel so helpless.

1476
01:18:54,479 --> 01:18:56,760
Speaker 1: I feel like I have no power, and so you

1477
01:18:56,920 --> 01:19:00,000
Speaker 1: just I mean, there's example after example. You know, people

1478
01:19:00,160 --> 01:19:03,120
Speaker 1: talking about the insulin cartel that's taken the price of

1479
01:19:03,160 --> 01:19:05,839
Speaker 1: insulin from twenty five dollars to two hundred and seventy

1480
01:19:05,840 --> 01:19:08,320
Speaker 1: five dollars a dose. I mean, I met someone the

1481
01:19:08,320 --> 01:19:10,920
Speaker 1: other day who's like, you know what, I'm insured, I

1482
01:19:10,960 --> 01:19:14,080
Speaker 1: have a decent job, and here's what happened. My fridge,

1483
01:19:14,160 --> 01:19:18,840
Speaker 1: my refrigerator broke. My insoluent bad. The insurance company won't

1484
01:19:18,880 --> 01:19:21,519
Speaker 1: give you more insulin, They just give you the amount

1485
01:19:21,520 --> 01:19:23,080
Speaker 1: that you can have. And she's like, it cost me

1486
01:19:23,160 --> 01:19:26,400
Speaker 1: fifty five hundred dollars. I had to borrow money from

1487
01:19:26,400 --> 01:19:28,760
Speaker 1: my son's grandmother in order to get insulin for him,

1488
01:19:28,960 --> 01:19:30,640
Speaker 1: because there was no other way that I could just

1489
01:19:30,640 --> 01:19:32,920
Speaker 1: pay fifty five hundred dollars to get insulin. And it's

1490
01:19:33,000 --> 01:19:36,000
Speaker 1: just like again, it's this feeling of I have no power,

1491
01:19:36,080 --> 01:19:39,040
Speaker 1: I have no control over my own life, and these

1492
01:19:39,080 --> 01:19:42,680
Speaker 1: massive forces are buying off our politicians so that the

1493
01:19:42,760 --> 01:19:46,200
Speaker 1: laws don't work for us and they hurt us. Luke.

1494
01:19:46,240 --> 01:19:47,760
Speaker 1: It's just so people can get a sense of kind

1495
01:19:47,760 --> 01:19:49,760
Speaker 1: of where you fall in the political spectrum of the

1496
01:19:49,760 --> 01:19:52,360
Speaker 1: Democratic Party. Who did you back, which Canada did you

1497
01:19:52,439 --> 01:19:55,800
Speaker 1: back in the twenty twenty primary? And why so? I

1498
01:19:55,880 --> 01:19:57,760
Speaker 1: was still in the Marine Corps then, and so I

1499
01:19:57,800 --> 01:20:00,920
Speaker 1: didn't get involved in partisan politics and I and I didn't.

1500
01:20:01,120 --> 01:20:03,920
Speaker 1: I didn't back I didn't back anybody. And so, but

1501
01:20:03,960 --> 01:20:08,160
Speaker 1: who would you? I think? So people ask this question

1502
01:20:08,200 --> 01:20:10,200
Speaker 1: a lot, like who do you like? And uh? And

1503
01:20:10,280 --> 01:20:13,320
Speaker 1: for me, like, I don't really consider myself a left

1504
01:20:13,400 --> 01:20:15,840
Speaker 1: right politician. Everybody's like, oh, we're on the spectrum. Do

1505
01:20:15,880 --> 01:20:19,160
Speaker 1: you fall from? You know, Bernie Standers to Chuck Schumer

1506
01:20:19,960 --> 01:20:22,080
Speaker 1: or Joe Manchin or something like that, and like my

1507
01:20:22,120 --> 01:20:24,639
Speaker 1: answer is just like, look, I grew up in Missouri.

1508
01:20:25,000 --> 01:20:28,120
Speaker 1: The guy that I that I appreciate is Harry Truman.

1509
01:20:28,160 --> 01:20:29,519
Speaker 1: If you want me to pick a center and who

1510
01:20:29,560 --> 01:20:31,160
Speaker 1: I would like, or you want to pick me a

1511
01:20:31,200 --> 01:20:33,680
Speaker 1: president and who I liked, it's that guy, Like he

1512
01:20:33,840 --> 01:20:37,200
Speaker 1: was a true populist, Like I believe in populism. I

1513
01:20:37,240 --> 01:20:40,679
Speaker 1: believe that we need to have normal, everyday people having

1514
01:20:40,760 --> 01:20:42,960
Speaker 1: power again, not the set of elites that are taking

1515
01:20:42,960 --> 01:20:46,800
Speaker 1: control like and and so for me, it's just this

1516
01:20:46,840 --> 01:20:49,839
Speaker 1: is a top bottom race and I don't necessarily associate

1517
01:20:49,880 --> 01:20:53,000
Speaker 1: with myself with anyone directly and you know, people ask, well,

1518
01:20:53,000 --> 01:20:55,000
Speaker 1: who would you pick in leadership if you're in the Senate,

1519
01:20:55,040 --> 01:20:57,240
Speaker 1: Then it's like, well, you know what, I'm not taking

1520
01:20:57,240 --> 01:20:59,360
Speaker 1: any corporate pack money. And the first thing that I'm

1521
01:20:59,400 --> 01:21:01,960
Speaker 1: going to do is i want whoever leaves the US

1522
01:21:02,040 --> 01:21:05,240
Speaker 1: Senate to not take money from corporate packs. Let me

1523
01:21:05,280 --> 01:21:07,960
Speaker 1: ask you this then, Lucas, which is that you Trump

1524
01:21:08,040 --> 01:21:12,400
Speaker 1: won your state by fifteen point four percent in twenty twenty,

1525
01:21:12,600 --> 01:21:14,759
Speaker 1: So for you to win, you would have to model

1526
01:21:14,800 --> 01:21:20,080
Speaker 1: yourself after From my estimation, there's only one Senator, Joe

1527
01:21:20,120 --> 01:21:22,479
Speaker 1: Manchin in the US Senate, So who has won a

1528
01:21:22,560 --> 01:21:26,720
Speaker 1: state with a similar Trump margin? So what separates you

1529
01:21:26,960 --> 01:21:30,080
Speaker 1: from Joe Manchin? And what's your tactic to try and

1530
01:21:30,120 --> 01:21:32,880
Speaker 1: repeat what has only been done one time in the

1531
01:21:33,000 --> 01:21:35,920
Speaker 1: US Senate in terms of the margin through which Trump

1532
01:21:36,000 --> 01:21:39,160
Speaker 1: is actually won for a Democrat. Yeah, So, like, I'm

1533
01:21:39,160 --> 01:21:41,640
Speaker 1: not interested in being anything like Joe Manchin, Like the

1534
01:21:41,640 --> 01:21:43,720
Speaker 1: guy takes all of his money. I mean, if you

1535
01:21:43,720 --> 01:21:47,960
Speaker 1: want to talk about spectrum, you know I'm raising all

1536
01:21:47,960 --> 01:21:50,479
Speaker 1: my money without corporate pack money. I'm not taking fossil

1537
01:21:50,520 --> 01:21:54,080
Speaker 1: fuel executive money, not taking pharmaceutical executive money, not taking

1538
01:21:54,120 --> 01:21:57,000
Speaker 1: money from a lot of places. Those are the only

1539
01:21:57,080 --> 01:22:00,680
Speaker 1: places Joe Manchin takes money. So like, we have complete

1540
01:22:00,720 --> 01:22:04,400
Speaker 1: grassroots campaign. You know, everybody goes to lucaskoons dot com

1541
01:22:04,400 --> 01:22:08,519
Speaker 1: and donates like that is how our campaign is being run.

1542
01:22:08,800 --> 01:22:11,639
Speaker 1: And and so like last quarter and the quarter before that,

1543
01:22:11,760 --> 01:22:15,439
Speaker 1: people will be shocked by this. Well last I'll just

1544
01:22:15,439 --> 01:22:17,559
Speaker 1: go with last quarter. You know, we outraised every single

1545
01:22:17,640 --> 01:22:20,800
Speaker 1: Republican in the field, and we did it with the

1546
01:22:20,880 --> 01:22:24,719
Speaker 1: highest percentage of grassroots donations of any candidate in the country.

1547
01:22:24,800 --> 01:22:28,280
Speaker 1: What Bernie Sanders, Elizabeth Warren, John Fetterman, we had a

1548
01:22:28,360 --> 01:22:32,160
Speaker 1: higher percentage of grassroots donations than anybody. Joe Manchin is

1549
01:22:32,200 --> 01:22:35,960
Speaker 1: the complete opposite. He had the lowest amount of grassroots donations.

1550
01:22:36,080 --> 01:22:39,519
Speaker 1: And so like, I'm nothing like that guy. Our state

1551
01:22:39,840 --> 01:22:42,200
Speaker 1: I don't even I don't know West Virginia enough to say,

1552
01:22:42,479 --> 01:22:44,960
Speaker 1: but our state might be very different than West Virginia.

1553
01:22:45,040 --> 01:22:47,960
Speaker 1: I mean, you know, Trump won by actually seventeen points

1554
01:22:48,000 --> 01:22:51,720
Speaker 1: in twenty sixteen, but Jason kandor another veteran like me

1555
01:22:52,120 --> 01:22:54,479
Speaker 1: was the Democratic nominee for the for this same US

1556
01:22:54,560 --> 01:22:57,599
Speaker 1: Senate seat and he only lost by two point eight percent.

1557
01:22:57,760 --> 01:23:00,720
Speaker 1: That's true, Like, people here are will. I mean that's

1558
01:23:00,760 --> 01:23:03,479
Speaker 1: you know, that's a fifteen point swing on its own.

1559
01:23:03,840 --> 01:23:06,439
Speaker 1: So people here are willing to make that swing. When

1560
01:23:06,439 --> 01:23:10,559
Speaker 1: Claire mccaskell lost in twenty eighteen to Josh Holly, our

1561
01:23:10,600 --> 01:23:12,920
Speaker 1: state order, who is a Democrat, won by the exact

1562
01:23:12,920 --> 01:23:16,360
Speaker 1: same percentage that she lost by. Like, people here are independent,

1563
01:23:16,400 --> 01:23:20,240
Speaker 1: they're individuals, but they truly believe that the system is broken.

1564
01:23:20,360 --> 01:23:23,440
Speaker 1: Unless they see someone who's going to change that broken system,

1565
01:23:23,600 --> 01:23:25,120
Speaker 1: they're not going to go for them. And so they

1566
01:23:25,160 --> 01:23:28,040
Speaker 1: believe that was Donald Trump. I do not think there

1567
01:23:28,080 --> 01:23:30,519
Speaker 1: is any way they would ever believe that was Joe Manchin.

1568
01:23:30,520 --> 01:23:33,000
Speaker 1: I think Joe Manchin would lose worse here than anybody

1569
01:23:33,040 --> 01:23:37,040
Speaker 1: else because he is he is completely opposite on breaking

1570
01:23:37,080 --> 01:23:39,559
Speaker 1: that system, and that's what I want to do well,

1571
01:23:39,840 --> 01:23:42,160
Speaker 1: And you may be going up against some people are

1572
01:23:42,360 --> 01:23:44,679
Speaker 1: comparing him to sort of todd ache and style candidate,

1573
01:23:44,720 --> 01:23:47,080
Speaker 1: which is how Claire mccaskell was able to hang on

1574
01:23:47,360 --> 01:23:49,200
Speaker 1: as long as you did. And Eric Briden's who's the

1575
01:23:49,200 --> 01:23:51,360
Speaker 1: former governor. You guys can go look up the scandal

1576
01:23:51,360 --> 01:23:54,439
Speaker 1: and judge for yourselves. Finally, Lucas, just a couple of

1577
01:23:54,760 --> 01:23:57,760
Speaker 1: questions about where you stand on issues. You know, what

1578
01:23:57,800 --> 01:24:00,240
Speaker 1: do you think about medicare for all? What do you

1579
01:24:00,240 --> 01:24:03,240
Speaker 1: think the minimum wage should be? Where do you stand

1580
01:24:03,280 --> 01:24:07,479
Speaker 1: on free college? So these are these are populist issues

1581
01:24:07,680 --> 01:24:09,720
Speaker 1: in my mind. And so this is where you know,

1582
01:24:10,200 --> 01:24:13,040
Speaker 1: people ask me, well, you know, Josh Holly's a populist,

1583
01:24:13,040 --> 01:24:14,720
Speaker 1: how are you different than him? It's like, you know

1584
01:24:14,760 --> 01:24:17,280
Speaker 1: that dude is a faker. Right, he comes in, he

1585
01:24:17,280 --> 01:24:19,679
Speaker 1: says he wants to change the system, but he won't

1586
01:24:19,680 --> 01:24:22,160
Speaker 1: do anything about the minimum wage. He's against raising it.

1587
01:24:22,240 --> 01:24:24,639
Speaker 1: He votes for every corporate judge that comes in front

1588
01:24:24,640 --> 01:24:27,559
Speaker 1: of him. He does. He's not for universal health care,

1589
01:24:27,640 --> 01:24:30,280
Speaker 1: something that will empower everyday people. And he doesn't care

1590
01:24:30,280 --> 01:24:32,120
Speaker 1: who goes to college as long as him and as

1591
01:24:32,240 --> 01:24:34,479
Speaker 1: kids do. And so so for me, you know, I

1592
01:24:34,520 --> 01:24:36,840
Speaker 1: got to go to college for free at Yale. I

1593
01:24:36,880 --> 01:24:38,840
Speaker 1: grew up. I went on a pell grant. You know,

1594
01:24:38,880 --> 01:24:40,400
Speaker 1: we didn't grow up with a lot of money, and

1595
01:24:40,400 --> 01:24:42,800
Speaker 1: we qualified for that and a bunch of other financial aid.

1596
01:24:42,840 --> 01:24:45,960
Speaker 1: And with that I was able to serve our community

1597
01:24:46,320 --> 01:24:48,519
Speaker 1: in a beautiful way. You know, thirteen years in the

1598
01:24:48,520 --> 01:24:53,920
Speaker 1: Marine Corps Iraq Afghanistan, I let arms control negotiations with Russia.

1599
01:24:54,000 --> 01:24:56,960
Speaker 1: Like that is how my talent was developed and how

1600
01:24:57,000 --> 01:24:58,879
Speaker 1: I was able to do great things for our country.

1601
01:24:59,000 --> 01:25:01,240
Speaker 1: I think everybody should have that opportunity. We need to

1602
01:25:01,240 --> 01:25:04,320
Speaker 1: make that possible for people who can't afford it, universal

1603
01:25:04,320 --> 01:25:07,559
Speaker 1: health care. Like for me, this is about everyday people

1604
01:25:07,720 --> 01:25:11,439
Speaker 1: having freedom again, right and so like I mentioned before

1605
01:25:11,600 --> 01:25:14,200
Speaker 1: that my family went bankrupt for medical bills when I

1606
01:25:14,240 --> 01:25:16,439
Speaker 1: was a kid, and my dad was actually at the

1607
01:25:16,479 --> 01:25:18,879
Speaker 1: time in the first job he'd ever taken out of college,

1608
01:25:18,960 --> 01:25:22,519
Speaker 1: and he was never able to leave that job. Smartest

1609
01:25:22,520 --> 01:25:24,599
Speaker 1: man I know, smartest man I've ever met, is my father,

1610
01:25:24,760 --> 01:25:28,280
Speaker 1: and he was stuck in the exact same job for

1611
01:25:28,360 --> 01:25:31,120
Speaker 1: thirty years, twenty five whatever it was before he retired

1612
01:25:31,360 --> 01:25:34,680
Speaker 1: because he could never leave because his little girl needed insurance. Like,

1613
01:25:34,680 --> 01:25:36,920
Speaker 1: the man had no freedom, He was completely trapped. He

1614
01:25:36,960 --> 01:25:39,680
Speaker 1: always wanted to start a business, he was super innovative,

1615
01:25:39,720 --> 01:25:41,479
Speaker 1: and he wasn't able to do that because his little

1616
01:25:41,520 --> 01:25:43,200
Speaker 1: girl would have died if he didn't, if he didn't

1617
01:25:43,200 --> 01:25:45,599
Speaker 1: stay in the job. So for me, like, we have

1618
01:25:45,680 --> 01:25:48,400
Speaker 1: to have universal health care so that people have freedom again,

1619
01:25:48,439 --> 01:25:51,280
Speaker 1: so that small business owners can run a business without

1620
01:25:51,320 --> 01:25:53,680
Speaker 1: having to worry about being a health care provider so

1621
01:25:53,720 --> 01:25:56,280
Speaker 1: that employees don't have to worry about you know, maybe

1622
01:25:56,320 --> 01:25:58,479
Speaker 1: my employer's believes don't agree with mine, and I'm not

1623
01:25:58,520 --> 01:26:00,479
Speaker 1: going to get the coverage that I need. Like it

1624
01:26:00,560 --> 01:26:02,719
Speaker 1: is how it is how we focus on our mission

1625
01:26:02,760 --> 01:26:05,040
Speaker 1: and keep everything going. I mean, you know, in the military,

1626
01:26:05,080 --> 01:26:07,680
Speaker 1: we had trycare, which is everyone gets healthcare. You go

1627
01:26:07,720 --> 01:26:09,880
Speaker 1: down to the treatment facility, you get taken care of

1628
01:26:10,120 --> 01:26:12,240
Speaker 1: so that you can focus on your mission. And you know,

1629
01:26:12,360 --> 01:26:16,799
Speaker 1: every American's mission is to is to just take their skills,

1630
01:26:16,880 --> 01:26:20,400
Speaker 1: take their abilities, and put them towards whatever opportunity they can.

1631
01:26:20,560 --> 01:26:22,439
Speaker 1: And without universal health care, they're never going to be

1632
01:26:22,439 --> 01:26:24,840
Speaker 1: able to do that. They will be in a tough situation.

1633
01:26:25,640 --> 01:26:32,639
Speaker 1: And so the third thing you asked was minimum wage college. Yeah,

1634
01:26:33,320 --> 01:26:36,519
Speaker 1: so yeah, we talked college in healthcare. Like minimum wage

1635
01:26:37,640 --> 01:26:41,120
Speaker 1: is again it's a way that we give every day

1636
01:26:41,240 --> 01:26:45,960
Speaker 1: people power and and I just I mean, fifteen dollars

1637
01:26:46,000 --> 01:26:47,559
Speaker 1: to me is a minimum. So we have to have

1638
01:26:47,560 --> 01:26:50,840
Speaker 1: a minimum fifteen dollars. We should have a wage that

1639
01:26:50,920 --> 01:26:52,880
Speaker 1: people can get by on. They don't have to work

1640
01:26:52,920 --> 01:26:55,200
Speaker 1: two jobs. I mean, we should all be able to

1641
01:26:55,200 --> 01:26:58,759
Speaker 1: in this country if we work hard, and do our best.

1642
01:26:58,920 --> 01:27:02,120
Speaker 1: We should not have to live paycheck to paycheck or

1643
01:27:02,120 --> 01:27:05,320
Speaker 1: one disaster from bankruptcy. And I mean, I know that's

1644
01:27:05,560 --> 01:27:07,920
Speaker 1: what that's like, because that's how I grew up. You know,

1645
01:27:08,400 --> 01:27:11,240
Speaker 1: I remember my parents, my mom writing a check at

1646
01:27:11,240 --> 01:27:14,720
Speaker 1: the grocery store and asking the manager not to cash

1647
01:27:14,720 --> 01:27:16,479
Speaker 1: it till the end of the month so that we

1648
01:27:16,479 --> 01:27:18,840
Speaker 1: can thank it. And you know, like, I think the

1649
01:27:18,920 --> 01:27:22,439
Speaker 1: saddest thing about our country, and particularly like where I

1650
01:27:22,479 --> 01:27:25,600
Speaker 1: go back to in jeff City, is that you know,

1651
01:27:25,640 --> 01:27:28,280
Speaker 1: that corner store is gone now. People are going to

1652
01:27:28,320 --> 01:27:30,479
Speaker 1: like a dollar General store or Walmart, and the way

1653
01:27:30,479 --> 01:27:32,839
Speaker 1: that they get through the month now is a payday

1654
01:27:32,880 --> 01:27:36,519
Speaker 1: loan three hundred and sixty percent interest or whatever it is.

1655
01:27:36,680 --> 01:27:40,639
Speaker 1: And so I mean that's bad for society. My family

1656
01:27:40,680 --> 01:27:44,040
Speaker 1: would have gone bankrupt way more than one time if

1657
01:27:44,040 --> 01:27:47,080
Speaker 1: we had to rely on payday loans to get through. Yeah.

1658
01:27:47,200 --> 01:27:49,400
Speaker 1: Not to mention all that revenue then gets sucked down

1659
01:27:49,479 --> 01:27:53,160
Speaker 1: to other places that doesn't stay local in the community. Lucas,

1660
01:27:53,320 --> 01:27:55,559
Speaker 1: it all goes up and out. Yeah, Lucas, thank you

1661
01:27:55,560 --> 01:27:57,679
Speaker 1: so much for your time today. Let people know where

1662
01:27:57,680 --> 01:28:00,160
Speaker 1: they can learn more about your campaign. Yeah, you can

1663
01:28:00,240 --> 01:28:03,320
Speaker 1: learn more about me at Lucascoons dot com it's k

1664
01:28:03,520 --> 01:28:07,880
Speaker 1: u Ncee and at Lucas Koons mo on Twitter or Instagram.

1665
01:28:08,040 --> 01:28:10,839
Speaker 1: There you go, Thanks Lucas. We're intrigued by our campaign.

1666
01:28:10,880 --> 01:28:15,360
Speaker 1: We'll be watching absolutely, get you soon. Absolutely, Thank you

1667
01:28:15,400 --> 01:28:17,680
Speaker 1: guys so much for watching. We really appreciate it, you know,

1668
01:28:17,680 --> 01:28:19,920
Speaker 1: it's just been amazing. At the holiday season, I mentioned

1669
01:28:20,200 --> 01:28:22,519
Speaker 1: you can buy a gift subscription for somebody if you like.

1670
01:28:22,560 --> 01:28:24,599
Speaker 1: I've been told to remind people of that. So many

1671
01:28:24,600 --> 01:28:26,800
Speaker 1: people have actually asked for it, so hey, if you

1672
01:28:26,840 --> 01:28:29,720
Speaker 1: want to give the greatest gift, you can go for it.

1673
01:28:30,439 --> 01:28:33,599
Speaker 1: In all seriousness, though, you are supporting our work here

1674
01:28:33,920 --> 01:28:36,160
Speaker 1: as our ability, and we continue in order to have

1675
01:28:36,200 --> 01:28:38,280
Speaker 1: conversations every single day how we're going to scale up,

1676
01:28:38,320 --> 01:28:39,880
Speaker 1: how we're going to build a show, make it a

1677
01:28:39,920 --> 01:28:43,040
Speaker 1: powerhouse in the midterms that Lucas was actually running in

1678
01:28:43,120 --> 01:28:45,040
Speaker 1: and so to do that, you know, we need your support.

1679
01:28:45,080 --> 01:28:47,439
Speaker 1: That's what my monologue was about today. There's a war

1680
01:28:47,479 --> 01:28:50,240
Speaker 1: that's coming with the corporate media, and we want to

1681
01:28:50,240 --> 01:28:52,360
Speaker 1: get as big as we possibly can before they try

1682
01:28:52,560 --> 01:28:54,680
Speaker 1: to come after us. So we really appreciate all of

1683
01:28:54,680 --> 01:28:56,880
Speaker 1: those who you can there's a premium link down there

1684
01:28:56,880 --> 01:28:59,680
Speaker 1: in description, and we love you guys, Happy holidays, Love

1685
01:28:59,720 --> 01:29:00,479
Speaker 1: you guys. Season