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Speaker 1: Hey, guys, Saga and Crystal here.

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Speaker 2: So we had a Maha Surgeon General pick who was

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Speaker 2: taking a grilling yesterday in the Senate. So this is

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Speaker 2: Casey Means, who is a physician, but she is not

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Speaker 2: currently licensed and she also did not finish her surgical residency.

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Speaker 2: So those are things that came up in the hearings,

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Speaker 2: but also her views on a variety of subjects and

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Speaker 2: her apparent conflicts of interest. We're also very significant here.

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Speaker 2: She's sort of like a wellness influencer. She's also an entrepreneur.

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Speaker 2: She has this medical device that runs the company for

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Speaker 2: in any case. The first clip I want to show

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Speaker 2: you here is a Republican Senator Cassidy who is questioning

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Speaker 2: her intently, and he's a physician as well, who is

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Speaker 2: questioning her intently on her views regarding vaccines and whether

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Speaker 2: there is any vaccine link to autism. Let's take a

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Speaker 2: listen to that.

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Speaker 3: We've had an outbreak of whooping cough in Louisiana, vaccine

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Speaker 3: preventable disease. Children have actually died from it. Think about

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Speaker 3: it and a child, about the age of your child dying

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Speaker 3: from a vaccine preventable disease. And some have been scared

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Speaker 3: to vaccinate their children because they've been told incorrectly that

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Speaker 3: vaccines cause autism. Do you believe that vaccines, whether individually

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Speaker 3: are collectively, contribute to autism?

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Speaker 4: Centericassidy, your physician. I'm a physician. The reality is that

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Speaker 4: we have an autism crisis that is increasing, and this

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Speaker 4: is devastating to many families, and we do not know

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Speaker 4: as a medical community what causes autism. The administration has

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Speaker 4: just committed a huge amount of funning to look at

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Speaker 4: the exposome of all environmental factors that could be contributing

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Speaker 4: to autism, and until we have a clear understanding of

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Speaker 4: why kids are developing this at higher rates, I think

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Speaker 4: we should not leave any stones unturned.

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Speaker 3: There's been a lot of evidence showing that they're not implicated.

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Speaker 3: Do you not accept that evidence?

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Speaker 4: I do accept that evidence. I also think that science

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Speaker 4: has never settled, and I think there is I think

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Speaker 4: that the effort to look at comprehensive, cumulative exposures of

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Speaker 4: our exposome into what is causing autism is important and

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Speaker 4: I look forward to seeing those results and sharing the

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Speaker 4: best public health information with the American people.

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Speaker 2: So she obviously refuses there to rule out a link

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Speaker 2: between autism and vaccines. This theory is widely discredited, and

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Speaker 2: you know, oh my mind is open. You know, we've

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Speaker 2: got to continue to explore which it just you know,

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Speaker 2: it shows you kind of what corner of the health

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Speaker 2: and wellness universe she comes from. And he asked Ryan

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Speaker 2: a bunch of questions about various vaccines. You know, would

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Speaker 2: you recommend to a mother that her child get the

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Speaker 2: measles vaccine? And she couldn't just come out and say,

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Speaker 2: you know, she had to sort of spin and couldn't

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Speaker 2: give just like straightforward answers on any of this stuff.

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Speaker 5: Yeah, the measles one is killing me, Like we really do, Like,

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Speaker 5: come on, have we really forgotten that measles can be

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Speaker 5: you know, damaging and deadly? Like, yeah, what are we

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Speaker 5: doing here? So Chris Murphy went after her about those

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Speaker 5: conflicts of interest that you mentioned. Let's roll D one.

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Speaker 6: The document from the FDC says this, if you endorse

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Speaker 6: a product through social media, your endorsement message should make

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Speaker 6: it obvious when you have a relationship with the brand.

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Speaker 6: Are you familiar with that? So, as you know, there

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Speaker 6: is a pending complaint regarding your failure to adhere to

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Speaker 6: those guidelines. I'll give you an example. So there's a

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Speaker 6: prenatal vitamin called we Nadle. Your filings before this committee

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Speaker 6: show that you started receiving compensation in the spring of

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Speaker 6: twenty and twenty four, and yet in September of twenty

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Speaker 6: twenty four you posted a video saying that you had

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Speaker 6: no financial relationship to the company, just a big fan,

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Speaker 6: and then in October you said not sponsored, just love

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Speaker 6: these But in fact, you have documentation before this committee

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Speaker 6: that showed when you said those things, you had a

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Speaker 6: financial relationship. You had already started receiving money from that company,

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Speaker 6: So you weren't telling the truth when you said you

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Speaker 6: were just a fan, you were actually receiving money.

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Speaker 4: Correct If the in any post rights that I am

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Speaker 4: not receiving money, I had not been receiving money at

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Speaker 4: that time.

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Speaker 6: But you had received partnership fees for this particular prenatal vitamin.

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Speaker 6: In fact, prior to September and October, you had posted

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Speaker 6: partnership links in which you get compensated based upon clickthroughs.

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Speaker 5: Correct.

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Speaker 4: I'm happy to look at whatever documentation you're talking about,

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Speaker 4: but I do not this is it's incorrect and it's

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Speaker 4: a false representation.

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Speaker 7: Crystal.

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Speaker 5: What is Like? I don't understand how this is a

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Speaker 5: conversation Like if if she's revealed that she was taking

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Speaker 5: the money in the spring, by the fall said she

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Speaker 5: wasn't Like it sounds like you're caught. Yeah, I'm busted.

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Speaker 8: Like, how do you've got her dad to rights?

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Speaker 7: Here?

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Speaker 5: Are she sticking by her story?

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Speaker 2: He's got her dad to rights here and not just here?

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Speaker 2: There was an investigation and he presses her on war

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Speaker 2: of this stuff. Out of one hundred and forty times

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Speaker 2: where she promoted products on social media, she only disclosed.

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Speaker 2: She failed to disclose her financial relationship in seventy nine

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Speaker 2: of those times. And this is where I just this

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Speaker 2: whole crew utterly discuss me, because here's the thing. There

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Speaker 2: are big problems with our with our food system. There

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Speaker 2: are big problems with our pharmaceutical you know, testing regimes,

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Speaker 2: and like the corruption, and that's one of the things

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Speaker 2: they talk about, the like revolving door between the FDA. True,

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Speaker 2: but then you bring in these literal snake oil salesmen

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Speaker 2: who are worse and more dishonest than the existing system,

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Speaker 2: and so you're taking advantage of things that are real

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Speaker 2: problems that people are genuinely concerned about, and you look

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Speaker 2: around the country like the country is deeply unhealthy. And

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Speaker 2: then you put in a bunch of cranks who want

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Speaker 2: to undercut the things that actually do work, like you know,

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Speaker 2: measles vaccines, and then sell you a bunch of crap

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Speaker 2: that isn't actually tested under anything remotely approaching the standards

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Speaker 2: of the you know, the pharmaceuticals, Like these supplements and

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Speaker 2: crap they don't get They hardly are tested or have

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Speaker 2: to meet any sort of regulatory standard. They push this

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Speaker 2: stuff and act like they're a better alternative to what

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Speaker 2: we already have. You know, for me, the tell is

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Speaker 2: the fact that none of these people are interested in

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Speaker 2: universal healthcare, which would be the first place you would

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Speaker 2: start if you actually wanted to improve the quality of

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Speaker 2: care in this country. But none of them, you know,

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Speaker 2: they all have this very libertarian like, up by your bootstraps,

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Speaker 2: up by your you know, tallow oil or whatever beef

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Speaker 2: tallow approach to health, and then they're deeply dishonest about

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Speaker 2: their own financial times ties. I'll give you another one

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Speaker 2: with her. So her health tech company, it's called Levels.

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Speaker 2: It's a like glucose monitoring device and has probably already

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Speaker 2: benefited from the fact that RFK Junior has been pushing

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Speaker 2: this wearable tech. Now she claims if she's if she

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Speaker 2: attains this position of surgeon General, which I think is

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Speaker 2: a little bit of a question mark here, but anyway,

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Speaker 2: if she attains a position, she's going to like, you know,

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Speaker 2: not be involved in Levels, and she's going to divest

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Speaker 2: and blah blah blah. But we can already see the

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Speaker 2: track record of the way she's abused the trust of

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Speaker 2: you know, people who follow her who genuinely believes she

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Speaker 2: has this sort of new age approach and that she's

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Speaker 2: writing the wrongs of the traditional medical system, and so

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Speaker 2: that to me, that abuse of trust is just so gross.

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Speaker 5: Yeah, and so Angela also broke. Senator from Maryland also

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Speaker 5: pressed her on some of this. Let's roll D two.

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Speaker 9: In your newsletter number thirty three, you acknowledge that PEAK

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Speaker 9: has sponsored you. Now we're you're aware that this company

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Speaker 9: I was served notice under California's Proposition sixty five for

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Speaker 9: containing and failing to disclose it lead above the allowable

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Speaker 9: amounts of carcinogen in reproductive talksin was present. I just

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Speaker 9: want to repeat, I've worked with the Officer Government Ethics.

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Speaker 9: I'm not going to be taking anything but invation ones

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Speaker 9: you've already so this is what.

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Speaker 4: I think about conflicts, and I have been cleared by

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Speaker 4: the Officer Government Ethics through an exhaustive process. I have

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Speaker 4: signed a letter that I will be a fully compliant

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Speaker 4: and this is before, during, and after the term. I

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Speaker 4: take it very seriously and I'll work closer with them

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Speaker 4: to make sure there are no conflicts.

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Speaker 9: The point here is that you've received compensation from these companies,

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Speaker 9: including Daily Harvest, where this company was subject to an

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Speaker 9: investigation by the Food and Drug Administration, up to hundreds

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Speaker 9: became seriously ill after consuming the product. And these are

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Speaker 9: these are companies that you have received money from, they've

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Speaker 9: been investigated, and you are railing out against pharmaceutical companies

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Speaker 9: that you say are are advertising these products that mislead

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Speaker 9: the public. And yet you know you've received compensation from

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Speaker 9: companies and you've promoted them in your newsletter, and you're

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Speaker 9: doing the same thing the pharmaceutical companies are doing by

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Speaker 9: advertising and influencing people for these products that have been

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Speaker 9: deemed to be unsafe for the public.

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Speaker 5: And Christal I think this is actually the kind of

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Speaker 5: stuff that a lot of MAHA people might be even

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Speaker 5: willing to look past if they thought they were getting results.

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Speaker 5: They say, oh, this is the this is the mainstream media,

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Speaker 5: the corrupt media, you know, coming at people who are

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Speaker 5: trying to overturn the system. They didn't have a problem

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Speaker 5: when big pharma was doing this. They didn't have a

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Speaker 5: problem when the pesticide companies or the chemical companies were

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Speaker 5: engaged in the revolving door. All of a sudden, you know,

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Speaker 5: when our movement, you know, comes along. Now, now all

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Speaker 5: of a sudden, they get concerned about conflicts of interest

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Speaker 5: and corruption. I think they might be willing to even

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Speaker 5: indulge some of those arguments from people that they trust,

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Speaker 5: like Casey or r. F K Jr. But they're not

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Speaker 5: getting what they want either, and I think that is huge.

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Speaker 5: This was like a just a lightning bolt to the

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Speaker 5: Maha movement to put up D three here. The one

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Speaker 5: of the chief objections that the mahakrawd has is is

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Speaker 5: to round up, is to this carcinogenic pesticide or beside

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Speaker 5: that is that is used extraordinarily liberally on American cops,

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Speaker 5: I mean American crops and and that and that you

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Speaker 5: know a lot of you know, research suggests is carcinogenic.

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Speaker 5: It's at certain levels. It's one thing for that, you know.

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Speaker 5: And in fact RFK Junior, you know, successfully won a

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Speaker 5: multi hundred million dollar lawsuit against Monsanto, which is now

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Speaker 5: owned by Bear for you know, the way that it

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Speaker 5: was using and disclosing the risks around around.

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Speaker 7: Roundup and this gliph of sate.

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Speaker 5: Along comes the Trump administration and says, not only are

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Speaker 5: we not going to kind of go to war against

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Speaker 5: Roundup and glyph of state, but we are going to

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Speaker 5: use the Defense Production Act, which is a kind of

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Speaker 5: nineteen fifties era law that allows the Pentagon to legally

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Speaker 5: mandate that a business produced something. Hegseeth is threatening to

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Speaker 5: use the Defense Production Act on Anthropic to legally mandate

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Speaker 5: them to allow the Pentagon to use Claude for its

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Speaker 5: autonomous armed drones and for surveillance, like they're they're trying

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Speaker 5: to use this DPA on Claude. So, but they did

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Speaker 5: use the DPA on Bear and told Bear you must

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Speaker 5: produce uh, this product that the Mahamams you know think

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Speaker 5: is is killing people. And because they are mandating that

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Speaker 5: you produce it, then you're going to have some level

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Speaker 5: of legal immunity that's right for the production of this.

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Speaker 5: So not only are you not kind of going to

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Speaker 5: war against it, you are actively siding with them. This

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Speaker 5: came after you know, the EPA named chemical lobbyist to

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Speaker 5: one of its top positions, and and and and and

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Speaker 5: there were none a number of other glaring sirens that

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Speaker 5: the old industry was actually still in place here, but

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Speaker 5: this one has like this one has people absolutely freaking

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Speaker 5: out times. Quote it's a turning point USA, a MAHA

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Speaker 5: podcaster say saying like I'm done, Like, I can't. I

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Speaker 5: can't persuade these women to vote for Republicans in the

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Speaker 5: midterms when you're doing stuff like this. So that's my take,

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Speaker 5: Like that, I think they'd be willing to look past

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Speaker 5: all of the garbage and the corruption and the oh

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Speaker 5: there's lead in this vitamin that she was pushing.

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Speaker 7: It's like, yeah, it happens.

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Speaker 5: But to do this on top of all that, Like,

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Speaker 5: I'm sure it's check please for a lot of these women.

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Speaker 5: What do you think?

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Speaker 2: Yeah, I think that's right. I mean, I will say,

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Speaker 2: I think you're correct that they would be willing to

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Speaker 2: overlook or just not dig into and just feel like, oh,

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Speaker 2: this is just a smear campaign against her because she's

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Speaker 2: trying to overturn the system. I will say, as someone

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Speaker 2: who you know is in the overturned the system camp,

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Speaker 2: that one thing I have learned is that you actually

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Speaker 2: have to hold your people to a higher standard because

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Speaker 2: you can't expect that the media is going to be

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Speaker 2: even handed when it comes to insiders versus outsiders. So

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Speaker 2: you know, there may be a legitimate critique there that

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Speaker 2: you know, previous people who had various compromise interests with

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Speaker 2: the pharmaceutical industry or whatever. They didn't get the same

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Speaker 2: level of scrutiny. I'm not saying that's the case or not,

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Speaker 2: but I would certainly be open to that argument. But

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Speaker 2: I think if you are going to understand what is

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Speaker 2: required to actually make change to entrenched interests, whether it's

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Speaker 2: you know, big food or big chemicals or big pharma,

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Speaker 2: you are going to have to be Yes, You're going

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Speaker 2: to have to hold yourself to a higher standard. You

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Speaker 2: are going to have to meet a higher bar. You

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Speaker 2: are going to have to be perfect, just as Noora

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Speaker 2: and Momdani in the way that they're like, you know,

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Speaker 2: trying to turn a snowball fight into a scandal in

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Speaker 2: New York City, how aggressively they will come at you.

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Speaker 2: But putting that aside, you know, on this specific issue

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Speaker 2: of glyphasate, it kind of reminds me of like the

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Speaker 2: it's like the Epstein Files moment for the podcast pros.

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Speaker 2: It's sort of like that for the Moha Moms, where

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Speaker 2: it's just like, I can't come up with a colorable

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Speaker 2: rationale that's not just the same old standard issue industry corruption.

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Speaker 2: And then all of your heroes who five seconds ago

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Speaker 2: before they were actually RFKA Junior. I think there was

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Speaker 2: a report that even came out during this administration sounding

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Speaker 2: the alarm about glyphasate. But then the moment that Trump

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Speaker 2: says now we're doing this, they're like, okay, well we

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Speaker 2: understand and we get it, and we support it and

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Speaker 2: we stand by it. She got asked, Casey Means got

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Speaker 2: asked in this hearing, I think by Tim Kaine specifically

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Speaker 2: about this issue, and her answer was effectively like, well,

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Speaker 2: it's complicated, and you know, I don't think that's going

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Speaker 2: to satisfy anyone. It's very clear what's going on here.

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Speaker 2: You want the job, you want the access, you want

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Speaker 2: the power, you want whatever else that entails. And so

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Speaker 2: whatever principles you had previously, like many before you, like

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Speaker 2: Tolci Gabbard before you, you're willing to say, well, you know,

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Speaker 2: I see it differently now now it's before it was clear,

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Speaker 2: Now it's cloudy. Now it's complicated.

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Speaker 5: To make Casey Means an RFK junior defend roundup is

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Speaker 5: tantamount to when he made RFK Junior like eat McDonald's

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Speaker 5: on the airplants like gang initiation. The only thing that

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Speaker 5: you could be worse, like literally spraying round up on

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Speaker 5: the McDonald's.

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Speaker 8: Wasn't he very involved in like Hudson River?

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Speaker 2: Clean up ray the roundup on the McDonald's and throw

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Speaker 2: it in the Hudson River. And you can bet RFK

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Speaker 2: Junior and be there to be like I understand why, Yeah,

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Speaker 2: so I support this.

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Speaker 8: Now, this is fine. It's just no principle.

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Speaker 2: And this is the way that a lot of people

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Speaker 2: in DC think because they view it like, Okay, but

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Speaker 2: if I don't play the game and like do this thing,

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Speaker 2: then whatever other plans Casey means has or RFK Junior

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Speaker 2: has or whatever, I'm not gonna have a chance to

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Speaker 2: do those. And ultimately it's just a road, especially under Trump,

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Speaker 2: who seems to delight in finding highly specific ways to

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Speaker 2: humiliate his underlings and force them to abandon any core

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Speaker 2: principles that they ever claim to hold that would give

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Speaker 2: them some sort of independence from him. Like that is

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Speaker 2: I think something that he very strategically, you know, attempts

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Speaker 2: to do Like he will he will identify, Okay, what

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Speaker 2: is this person's like if they have some sort of

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Speaker 2: principle they're trying to hold on to, how do I

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Speaker 2: destroy that? So that then are just nothing but a

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Speaker 2: loyalist to me because that's all he wants.

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Speaker 5: And also it's useless and illegal to use the Defense

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Speaker 5: Production Act for this purpose. He claimed that it's an emergency,

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Speaker 5: like a national security emergency, because we don't have enough

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Speaker 5: food in the United States. That that and that this

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Speaker 5: is to protect the food. That are you serious we're

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Speaker 5: starving here we're.

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Speaker 2: Doing We're okay, Like, yeah, you act many problems to

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Speaker 2: do this, that's not one of them.

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Speaker 8: Yeah.

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Speaker 2: Now, the quality of the food, we could talk about

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Speaker 2: the price of the food, we could certainly talk about,

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Speaker 2: but the just the quantity of it that it is

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Speaker 2: not an issue.

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Speaker 5: You got enough food. They andres Republican Congress is trying

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Speaker 5: to push through legislation that would give fair immunity around

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Speaker 5: these RFK Junior kind of led challenges that got pushed

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Speaker 5: back by environmental groups. They're now trying to put it

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Speaker 5: into the farm bill. Like this is like, this is crazy,

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Speaker 5: this is crazy, like and so the environmental groups to

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Speaker 5: the Mohammad was like what did you expect? Like this

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Speaker 5: is like this who they are, But you know RFK Junior.

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Speaker 5: He literally sued them, I don't blame them for believing

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Speaker 5: that this guy who sued them over this and one

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Speaker 5: actually would fight for it.

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Speaker 1: Yeah.

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Speaker 2: I mean, I think a lot of this really coalesced

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Speaker 2: around the COVID and vaccines, and you know that's where

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Speaker 2: the that energy really coalesced this movement and moved it

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Speaker 2: very quickly from you know, it used to be that

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Speaker 2: anti vac sentiment was more located on the left, and

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Speaker 2: you know that was some particular like left wing crank

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Speaker 2: grie around like like hippies and you know, wealthy liberals

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Speaker 2: in LA and stuff like that. And yeah, and now

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Speaker 2: they because of COVID, that all realigned like that crank

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Speaker 2: part of the liberal movement realigned into the right. And

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Speaker 2: so now it's say they're kind of like, I guess

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Speaker 2: they're up for grabs. You know, probably just kind of

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Speaker 2: nihilistic at this point, to be honest with you, But

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Speaker 2: I think there's an opening if you had a candidate

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Speaker 2: on the Democratic side who was embracing you know, medicare

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Speaker 2: for all and truly embracing changes to our food system

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Speaker 2: and made that a priority in health and fitness. Because

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Speaker 2: it's not that there's no point there, even with regard

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Speaker 2: to like medical autonomy. It's not that there's no point

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Speaker 2: there whatsoever. You know, I think obviously there's a bunch

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Speaker 2: of junk science around vaccines that's just utter and complete nonsense.

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Speaker 2: It's like you said, on like measles and stuff, and

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Speaker 2: it's just utterly destructive. And we're beginning to see the

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Speaker 2: devastating impact of more and more people opting out of

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Speaker 2: taking any of these vaccines. But so I guess there's

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Speaker 2: you know, there's an opening there. We'll see, we'll see

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Speaker 2: if anyone's able to with a more legitimate program capture

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Speaker 2: their imagination in the future.

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Speaker 7: And also, so we went a little bit long.

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Speaker 5: We're going to save the Save Act, the make American

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Speaker 5: Elections Great Again explainer. Maybe we'll hopefully get to that tomorrow.

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Speaker 5: But up next, I've got Dave Dayan and David Hogg

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Speaker 5: to talk about this incredible story of a candidate, a

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Speaker 5: Democratic candidate in North Carolina who swore off a PAC

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Speaker 5: money and yet is getting a PAC money anyway. We'll

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Speaker 5: explain the various loops and loopholes that we're able to

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Speaker 5: track this money through and getting into the race, which

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Speaker 5: now is ni alam versus value. If we share that,

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Speaker 5: I'll be to The election is on Tuesday, in North Carolina,

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Speaker 5: so I'll stick around for that. A Pack and AI

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Speaker 5: are both swamping House elections as we head into next

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Speaker 5: week will be the first. Next Tuesday will be the

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Speaker 5: first kind of primary of the twenty twenty sixth season.

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Speaker 5: To talk about that, we're going to be joined by

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Speaker 5: two David's, David Dan and David Hogg. David Daan is

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Speaker 5: the executive editor of The American Prospect. David Hogg is

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Speaker 5: the head of Leaders We Deserve, which is participating in

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Speaker 5: a lot of these primaries around the country. Day and

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Speaker 5: let's let's put a a two up there, just because

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Speaker 5: David Dan and I have been doing a bunch of

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Speaker 5: reporting on the kind of secret APAK primary effort going

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Speaker 5: on in Illinois, and we'll talk about that kind of

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Speaker 5: on the On the back half of this program, we're

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Speaker 5: also going to be joined by Nita Alam, who I

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Speaker 5: interviewed I did. I pre taped an interview yesterday with her.

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Speaker 5: We'll attach that to the end of this project. So

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Speaker 5: I want to start with actually Nita because it's it's

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Speaker 5: an incredible case here. Let's start with you, David Hogg,

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Speaker 5: because you guys have endorsed Nit Alam, so she ran

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Speaker 5: in twenty twenty two against Valerie Fushi. How do you

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Speaker 5: do you say it? Fushi or fushie Fushi? Fushi? Okay,

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Speaker 5: I've been doing Fushi. It's it's tough. So she ran

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Speaker 5: against Sushi in twenty twenty two. More than two million

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Speaker 5: dollars of a pac money comes into that race, and

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Speaker 5: a bunch of crypto money as well, I think from

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Speaker 5: Sam Bankman Freed, and she wins the race kind of close,

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Speaker 5: but I think nine points is a nine point yeah

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Speaker 5: march with a crowded field. Crowded field. Since then, there's

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Speaker 5: been a little redistricting, so it's actually a little bit

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Speaker 5: more progressive. And my understanding is that if that twenty

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Speaker 5: twenty two race were running this new district, she actually

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Speaker 5: wins so like and also, Fuhi has.

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Speaker 7: Done very little fund raising. I was checking last night.

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Speaker 5: I think she raised less than five hundred and fifty

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Speaker 5: thousand dollars for this cycle, which is for an incumbent.

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Speaker 5: She was out raised by nid Alam, who just launched

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Speaker 5: her race in December.

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Speaker 10: Yeah, I mean, Fushi is freaking out so much. I

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Speaker 10: got to text a screenshotted text from Fushi to another

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Speaker 10: member of Congress who's a friend of mine, where she's

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Speaker 10: saying this group leaders we Deserve is coming after me, please,

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Speaker 10: you know, help me out, send me money, And of

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Speaker 10: course that member wasn't going to but that was literally

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Speaker 10: less than a week ago that she is currently texting

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Speaker 10: members of Congress freaking out, And I think it shows

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Speaker 10: the weakness that some of these incumbents are in. When

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Speaker 10: you're propped up by Apak, you don't actually have to

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Speaker 10: be that strong of a campaigner to win a lot

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Speaker 10: of the time, especially if it's a crowded primary, and

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Speaker 10: you don't need to win by that much. In this case,

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Speaker 10: we're dealing with a different district but also has had

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Speaker 10: some of the most doge cuts of any congressional district

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Speaker 10: in the country, with a much.

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Speaker 5: More doorm area like yeah, probably.

435
00:23:11,680 --> 00:23:14,920
Speaker 10: Your ownlike area. And on top of that, the district

436
00:23:15,119 --> 00:23:17,800
Speaker 10: because of the redistricting, as you mentioned, is significantly more

437
00:23:17,800 --> 00:23:21,040
Speaker 10: South Asian than it was previously as well, and we're

438
00:23:21,080 --> 00:23:23,200
Speaker 10: dealing with an electric that is incredibly fed up with

439
00:23:23,240 --> 00:23:24,720
Speaker 10: the state of the party right now.

440
00:23:25,920 --> 00:23:29,639
Speaker 5: That's interesting that she is going from members of Congress

441
00:23:29,680 --> 00:23:31,280
Speaker 5: because that's like low hanging through.

442
00:23:31,160 --> 00:23:33,160
Speaker 10: Less than two weeks before her and two weeks well.

443
00:23:33,080 --> 00:23:36,080
Speaker 11: It wasn't as members, it was publicly. So you know, Fushi,

444
00:23:36,280 --> 00:23:41,280
Speaker 11: like many candidates, particularly ones who are desirous of super

445
00:23:41,320 --> 00:23:43,840
Speaker 11: pac money, has a red box. And you know what

446
00:23:43,880 --> 00:23:47,240
Speaker 11: a red box is. That's a section of their website

447
00:23:47,520 --> 00:23:50,080
Speaker 11: where they sort of the literal red box around where

448
00:23:50,119 --> 00:23:52,880
Speaker 11: they sort of soft coordinate with super PACs and say,

449
00:23:53,160 --> 00:23:56,399
Speaker 11: here's what voters need to know in this district. And

450
00:23:56,440 --> 00:24:01,040
Speaker 11: she changed the language on her red box right before

451
00:24:01,520 --> 00:24:06,120
Speaker 11: all this money came in, and previously it just had

452
00:24:06,320 --> 00:24:09,800
Speaker 11: sort of a generic message. And then you could almost

453
00:24:09,840 --> 00:24:12,520
Speaker 11: see the four alarm fire in the red box. It

454
00:24:12,600 --> 00:24:17,480
Speaker 11: was voters need to immediately here. Uh that they stopped waiting,

455
00:24:17,600 --> 00:24:21,359
Speaker 11: that Nita Alam is getting a million dollars from dark money,

456
00:24:21,440 --> 00:24:24,800
Speaker 11: and and and Valerie fus she won't be bought. Uh

457
00:24:24,920 --> 00:24:27,920
Speaker 11: it was, yeah, it was. It was like such an

458
00:24:28,119 --> 00:24:32,160
Speaker 11: urgent message. And now what we've seen in the week

459
00:24:32,280 --> 00:24:35,359
Speaker 11: since is that those super packs have delivered.

460
00:24:35,160 --> 00:24:37,960
Speaker 5: Valerie Foush, she won't be bought. Please dump millions of

461
00:24:38,000 --> 00:24:38,600
Speaker 5: dollars into this.

462
00:24:38,720 --> 00:24:41,080
Speaker 11: Please spend this money to tell people that I won't

463
00:24:41,119 --> 00:24:41,520
Speaker 11: be bought.

464
00:24:41,800 --> 00:24:43,960
Speaker 5: So we put up we can put up e one here.

465
00:24:44,280 --> 00:24:47,840
Speaker 5: This is a tweet from Dave Dave Dan where you

466
00:24:48,119 --> 00:24:51,840
Speaker 5: where you? You kind of spell out the how uh

467
00:24:52,560 --> 00:24:55,879
Speaker 5: how badly she was actually getting outspent, which is extremely

468
00:24:56,000 --> 00:24:59,760
Speaker 5: unusual for an incumbent until this AI quote AI Safety

469
00:24:59,760 --> 00:25:03,520
Speaker 5: super Pa, which is funded by anthropic came in. They've

470
00:25:03,560 --> 00:25:07,440
Speaker 5: now dropped one point three million dollars into the room

471
00:25:07,480 --> 00:25:10,040
Speaker 5: point six up to one point six every know, it

472
00:25:10,119 --> 00:25:13,280
Speaker 5: just keeps going one point six million dollars. And there's

473
00:25:13,320 --> 00:25:18,600
Speaker 5: another pack that is called the Article one pack that

474
00:25:18,680 --> 00:25:21,600
Speaker 5: has come in and looks like so far they're they've

475
00:25:21,720 --> 00:25:24,439
Speaker 5: publicly said that they're going to do six hundred thousand,

476
00:25:24,600 --> 00:25:27,480
Speaker 5: might might be more if they can, if they can

477
00:25:27,520 --> 00:25:31,119
Speaker 5: make it work. And so I wanted to talk about

478
00:25:31,119 --> 00:25:33,560
Speaker 5: this pack because this isn't this is an incredible one.

479
00:25:33,600 --> 00:25:37,080
Speaker 5: So Fushi in, you know, so she got the two

480
00:25:37,119 --> 00:25:40,439
Speaker 5: million dollars in a pac money. She then takes a

481
00:25:40,440 --> 00:25:44,400
Speaker 5: bit of a turn after the genocide starts in Gaza

482
00:25:45,240 --> 00:25:49,960
Speaker 5: and says that she's she she endorses the Block the

483
00:25:50,000 --> 00:25:52,280
Speaker 5: Bombs Act, which is kind of the Progressive Caucus is

484
00:25:52,520 --> 00:25:54,840
Speaker 5: kind of more mild version of conditioning.

485
00:25:54,320 --> 00:25:55,040
Speaker 7: Aid to Israel.

486
00:25:55,640 --> 00:25:57,439
Speaker 5: And then Lis Summer said she's not going to take

487
00:25:57,480 --> 00:25:58,200
Speaker 5: a pack money.

488
00:25:58,680 --> 00:26:02,640
Speaker 11: Yeah, I would not necessarily call it taking a turn,

489
00:26:02,880 --> 00:26:06,359
Speaker 11: as I would being turned. So there was a lot

490
00:26:06,440 --> 00:26:10,720
Speaker 11: of grassroots pressure in the district and the impetus for

491
00:26:10,760 --> 00:26:13,440
Speaker 11: her saying I reject this money was a town hall

492
00:26:13,920 --> 00:26:16,200
Speaker 11: in the district where she was confronted over meeting with

493
00:26:16,320 --> 00:26:21,560
Speaker 11: Nanyou on a congressional delegation and also the previous support

494
00:26:21,640 --> 00:26:25,520
Speaker 11: for APAC money in twenty twenty two, and she said, well, look,

495
00:26:26,400 --> 00:26:28,879
Speaker 11: I'm not doing that anymore. And I even heard behind

496
00:26:28,880 --> 00:26:32,680
Speaker 11: the scenes that she was discouraging APEX from doing unbranded

497
00:26:32,720 --> 00:26:36,520
Speaker 11: fundraisers for her, like she actually was, at least for

498
00:26:36,800 --> 00:26:39,280
Speaker 11: a time, probably when she thought she wasn't going to

499
00:26:39,320 --> 00:26:44,520
Speaker 11: have a primary candidate for a time, was really seem

500
00:26:44,640 --> 00:26:50,000
Speaker 11: sort of committed to this. And now we want you

501
00:26:50,000 --> 00:26:50,919
Speaker 11: to take us sto where we are to.

502
00:26:50,960 --> 00:26:52,960
Speaker 5: Well, before we do the reveal of how the APAC

503
00:26:53,000 --> 00:26:55,600
Speaker 5: money is getting into the district, now, why did you

504
00:26:55,640 --> 00:26:57,919
Speaker 5: guys get in? Like what made you get into this

505
00:26:58,000 --> 00:27:02,280
Speaker 5: particular race? Because as you're mapping out the limited resources

506
00:27:02,280 --> 00:27:04,600
Speaker 5: that you have, you no, it's sizable, but yeah, it's

507
00:27:04,640 --> 00:27:05,720
Speaker 5: not infinite.

508
00:27:06,240 --> 00:27:08,119
Speaker 7: What made you pick this one?

509
00:27:08,160 --> 00:27:11,359
Speaker 5: Because I've heard the argument from some people that like, hey, Fushi,

510
00:27:11,680 --> 00:27:14,959
Speaker 5: because she was able to be pressured at the grassroots

511
00:27:15,040 --> 00:27:17,840
Speaker 5: level and she got better, like we should reward that

512
00:27:18,720 --> 00:27:21,000
Speaker 5: by re electing her, and so that it tells other

513
00:27:21,080 --> 00:27:26,400
Speaker 5: candidates come our way and there will welcome you, rather

514
00:27:26,400 --> 00:27:29,240
Speaker 5: than you know what, we're going to take you out anyway.

515
00:27:29,720 --> 00:27:32,000
Speaker 10: Ultimately, Nida's going to be here for the long haul,

516
00:27:32,160 --> 00:27:35,080
Speaker 10: a lot longer than Fushi. Nida also in this district,

517
00:27:35,160 --> 00:27:37,600
Speaker 10: what we saw was that for us, it's not just

518
00:27:37,640 --> 00:27:40,159
Speaker 10: a matter of whether or not somebody's taking money from APAC.

519
00:27:40,240 --> 00:27:42,400
Speaker 10: Of course, we're going to support candidates who are against that,

520
00:27:42,520 --> 00:27:44,560
Speaker 10: like Nida, but it's also the fact that Fushi was

521
00:27:44,600 --> 00:27:46,359
Speaker 10: taking ridiculous amounts of corporate.

522
00:27:46,119 --> 00:27:47,359
Speaker 5: Money as a crypto style.

523
00:27:47,760 --> 00:27:51,520
Speaker 10: And what happened here was when Fushi was pressured on

524
00:27:51,640 --> 00:27:53,680
Speaker 10: taking that corporate money. You know what her defense of

525
00:27:53,760 --> 00:27:56,280
Speaker 10: it was was, well, these are corporations that are in

526
00:27:56,320 --> 00:27:58,399
Speaker 10: my district, so I'm happy to take it, which is

527
00:27:58,480 --> 00:28:02,280
Speaker 10: an absurd you know, logic to use here, Like, let's

528
00:28:02,280 --> 00:28:04,400
Speaker 10: press this further. Let's say that there is an ice

529
00:28:04,480 --> 00:28:08,320
Speaker 10: detention center that Corusivic or Geogroup, you know, runs in

530
00:28:08,400 --> 00:28:10,320
Speaker 10: fu She's district. Is she going to start taking money

531
00:28:10,320 --> 00:28:13,440
Speaker 10: from private prisons? Yeah, Let's say that there is that

532
00:28:13,880 --> 00:28:15,960
Speaker 10: Smith and Wesson. Let's say that Smith and Western is

533
00:28:15,960 --> 00:28:18,560
Speaker 10: the same. Let's say that Smith and Wesson, the same

534
00:28:18,560 --> 00:28:21,800
Speaker 10: company that manufactured the AR fifteen used in Parkland, moves

535
00:28:21,840 --> 00:28:24,000
Speaker 10: to her district, the same AAR fifteens that are used

536
00:28:24,000 --> 00:28:27,359
Speaker 10: around the country by mass shooters. If they're in her district,

537
00:28:27,440 --> 00:28:29,000
Speaker 10: does that mean she's going to start taking money from

538
00:28:29,000 --> 00:28:31,080
Speaker 10: Smith and Wesson? Like, where where do you draw the

539
00:28:31,119 --> 00:28:33,440
Speaker 10: line here? Because if it's all of a sudden saying well,

540
00:28:33,480 --> 00:28:35,320
Speaker 10: you know, I'm not going to take money from APAC,

541
00:28:35,480 --> 00:28:38,040
Speaker 10: but I'm fine taking it from lockeed Martin, for example,

542
00:28:38,280 --> 00:28:39,880
Speaker 10: the people that are helping to make the arms that

543
00:28:39,880 --> 00:28:42,600
Speaker 10: are being used against children in Gaza. Is it really

544
00:28:42,640 --> 00:28:44,240
Speaker 10: that much different in the first place?

545
00:28:44,800 --> 00:28:47,880
Speaker 11: Can I say quick thing about the AI aspect of

546
00:28:47,920 --> 00:28:51,640
Speaker 11: this before we go into the Apec park. So Nita

547
00:28:51,680 --> 00:28:55,800
Speaker 11: Alam gets into the race in December righter ninth.

548
00:28:55,800 --> 00:28:56,320
Speaker 7: Very late.

549
00:28:56,480 --> 00:28:59,320
Speaker 11: We started working with her July about a March primary, right,

550
00:29:00,560 --> 00:29:04,560
Speaker 11: but almost at the exact same time, there is this

551
00:29:04,680 --> 00:29:09,719
Speaker 11: commission that Hakeem Jeffries puts together on AI and the

552
00:29:09,760 --> 00:29:14,200
Speaker 11: Innovation Economy December eleventh. Yeah, almost the exact same time

553
00:29:14,200 --> 00:29:15,760
Speaker 11: that December eleventh, she launched.

554
00:29:15,760 --> 00:29:17,960
Speaker 5: December ninth, he puts her on the commission.

555
00:29:17,960 --> 00:29:20,000
Speaker 11: But it was already, It's already people knew that she

556
00:29:20,040 --> 00:29:20,960
Speaker 11: was going to that she was going.

557
00:29:20,880 --> 00:29:21,239
Speaker 5: To get it.

558
00:29:21,600 --> 00:29:26,040
Speaker 11: And Jeffries appoints Fushi as one of the co chairs

559
00:29:26,080 --> 00:29:26,400
Speaker 11: just three.

560
00:29:26,480 --> 00:29:29,640
Speaker 10: Do you think it's because of her expertise in technology?

561
00:29:29,760 --> 00:29:32,640
Speaker 11: Well, she she represents the research trying. It's clearly a

562
00:29:32,720 --> 00:29:34,760
Speaker 11: high tech area, innovation heavy era.

563
00:29:35,000 --> 00:29:36,120
Speaker 7: But wait, so.

564
00:29:38,000 --> 00:29:40,680
Speaker 11: Then she's bumping along and she you know, there are

565
00:29:40,720 --> 00:29:44,480
Speaker 11: these packs that come out, you know, people, grassroots packs

566
00:29:44,520 --> 00:29:47,800
Speaker 11: like leaders we Deserve, but also this pack called American Priorities,

567
00:29:48,240 --> 00:29:52,680
Speaker 11: which we revealed is specifically designed to counter APAC influence

568
00:29:52,880 --> 00:29:55,400
Speaker 11: in a bunch of races. They put in almost eight

569
00:29:55,520 --> 00:29:56,400
Speaker 11: hundred thousand.

570
00:29:56,120 --> 00:30:00,280
Speaker 5: Dollars under this race backing Alum.

571
00:30:01,680 --> 00:30:06,240
Speaker 11: But last week, when Fushi is being outspent ten to one,

572
00:30:07,080 --> 00:30:10,280
Speaker 11: there's a poll that goes into the district. Public Policy Polling,

573
00:30:10,280 --> 00:30:12,520
Speaker 11: which is based in North Carolina, puts this poll out.

574
00:30:12,760 --> 00:30:14,560
Speaker 7: I've seen the screenshots of it.

575
00:30:14,560 --> 00:30:19,000
Speaker 11: It does head to head Alam versus Fushi, and those

576
00:30:19,040 --> 00:30:22,400
Speaker 11: functionally are the only two candidates in this primary. But

577
00:30:22,480 --> 00:30:27,280
Speaker 11: it also asks attitudes towards AI the among members of

578
00:30:27,320 --> 00:30:32,040
Speaker 11: the district, and we don't know who's spent, and it

579
00:30:32,120 --> 00:30:35,120
Speaker 11: has not been released, and I've asked Public Policy Polling

580
00:30:35,200 --> 00:30:37,000
Speaker 11: many times if they're going to release this poll.

581
00:30:37,480 --> 00:30:39,480
Speaker 7: But clearly the amount.

582
00:30:39,080 --> 00:30:42,640
Speaker 11: Of money being poured in, which has nothing to do

583
00:30:42,720 --> 00:30:47,120
Speaker 11: with AI, these ads, of course shows two things. Number one,

584
00:30:47,600 --> 00:30:50,320
Speaker 11: that poll probably showed some bad news for Valerie Fushi,

585
00:30:50,760 --> 00:30:53,640
Speaker 11: and number two, it probably showed some bad news on

586
00:30:53,840 --> 00:30:57,560
Speaker 11: attitudes towards AI, or otherwise they would have elevated that

587
00:30:57,600 --> 00:30:59,280
Speaker 11: she's the head of the II Commission, right.

588
00:30:59,320 --> 00:31:02,400
Speaker 5: And this is a good how Washington works story for

589
00:31:02,480 --> 00:31:06,160
Speaker 5: people like the House Financial Services Committee is referred to

590
00:31:06,200 --> 00:31:09,960
Speaker 5: internally as a as a money committee, for instance, because

591
00:31:10,080 --> 00:31:13,400
Speaker 5: you put people on there who are in vulnerable races

592
00:31:13,400 --> 00:31:16,120
Speaker 5: and need to raise a lot of money. And because

593
00:31:16,160 --> 00:31:19,440
Speaker 5: you're now regulating the banks and the private equity and

594
00:31:19,440 --> 00:31:22,840
Speaker 5: hedge funds, you can then go to the banks and

595
00:31:22,880 --> 00:31:26,520
Speaker 5: shake them down for money. And so what Keem Jefferies

596
00:31:26,520 --> 00:31:28,640
Speaker 5: did here is he created a task force that's going

597
00:31:28,720 --> 00:31:31,920
Speaker 5: to write democratic policy on AI puts her on it,

598
00:31:32,360 --> 00:31:35,239
Speaker 5: also put Josh Gotttheimer on it, who's a voracious like

599
00:31:35,240 --> 00:31:36,360
Speaker 5: his story, also.

600
00:31:36,160 --> 00:31:38,480
Speaker 7: Gotten money from the same AI base and.

601
00:31:38,440 --> 00:31:42,959
Speaker 5: As a Microsoft executive, so has those links. So's it's

602
00:31:43,000 --> 00:31:45,200
Speaker 5: a fun It's a signal like if you like give

603
00:31:45,280 --> 00:31:47,720
Speaker 5: money to this person. And I think you guys have

604
00:31:47,760 --> 00:31:51,800
Speaker 5: been vindicated in your analysis here by the two plus

605
00:31:51,800 --> 00:31:54,720
Speaker 5: million dollars that she's already taken. Because people were like, no,

606
00:31:54,840 --> 00:31:58,200
Speaker 5: she's doing better now, like leave her alone.

607
00:31:58,320 --> 00:32:00,840
Speaker 10: The real test is somebody's values is well, they're under pressure.

608
00:32:00,920 --> 00:32:03,000
Speaker 10: And we knew that if she was willing to accept

609
00:32:03,040 --> 00:32:04,800
Speaker 10: this money when she was running in her first race,

610
00:32:05,000 --> 00:32:06,760
Speaker 10: when she came under pressure, that there would be more

611
00:32:06,800 --> 00:32:10,200
Speaker 10: super PACs, specifically these super PACs like the AI one

612
00:32:10,880 --> 00:32:13,720
Speaker 10: you know, this article one, stuff, everything like that that

613
00:32:13,760 --> 00:32:16,000
Speaker 10: came in and supported her that if she really was

614
00:32:16,000 --> 00:32:17,760
Speaker 10: committed to that, she wouldn't be taking that money, and

615
00:32:17,800 --> 00:32:20,080
Speaker 10: she wouldn't be facing such ferocious attacks that wouldn't be

616
00:32:20,160 --> 00:32:22,480
Speaker 10: landing as much because it wouldn't be true.

617
00:32:23,560 --> 00:32:25,960
Speaker 11: So one of the thing on that is that there's

618
00:32:26,280 --> 00:32:30,640
Speaker 11: there's actually a live fight in the district around AI

619
00:32:30,720 --> 00:32:34,400
Speaker 11: and specifically around the AI data center in a city,

620
00:32:34,640 --> 00:32:38,959
Speaker 11: small town called Apex that would use as much electricity

621
00:32:39,000 --> 00:32:44,200
Speaker 11: as the entire town, and there's been a pretty vociferous

622
00:32:44,200 --> 00:32:47,440
Speaker 11: pushback on that, and in other parts of the district

623
00:32:47,440 --> 00:32:50,160
Speaker 11: where there's actually a moratorium in a place called Chatham County.

624
00:32:50,840 --> 00:32:54,760
Speaker 11: But in Apex, hundreds of constituents sent an open letter

625
00:32:54,800 --> 00:32:58,560
Speaker 11: to both candidates saying, will you oppose this data center?

626
00:32:58,680 --> 00:33:01,720
Speaker 11: Number one and number two? Will you not take any

627
00:33:01,760 --> 00:33:07,360
Speaker 11: money from AI? And Nida Alam signed that and Valory

628
00:33:07,400 --> 00:33:11,880
Speaker 11: Fushi did not right, and so I think there is

629
00:33:11,920 --> 00:33:15,680
Speaker 11: a potential for backlash here, at least among people in

630
00:33:15,760 --> 00:33:19,240
Speaker 11: Apex who are very agitated about the placement of this.

631
00:33:19,560 --> 00:33:21,040
Speaker 5: Do you have a sense of how much this data

632
00:33:21,040 --> 00:33:24,200
Speaker 5: center controversy in the district is playing in the race

633
00:33:24,240 --> 00:33:24,560
Speaker 5: so far?

634
00:33:24,640 --> 00:33:27,360
Speaker 10: I'm sure it play is a significant role. Obviously, when

635
00:33:27,400 --> 00:33:29,680
Speaker 10: we did our own polling in the race, we didn't

636
00:33:29,680 --> 00:33:31,880
Speaker 10: specifically ask about AI. We are trying to see, like,

637
00:33:31,920 --> 00:33:34,000
Speaker 10: what is the pathway to victory because for leaders we deserve,

638
00:33:34,520 --> 00:33:37,720
Speaker 10: we don't have an infinite amount of resources. We rely

639
00:33:37,760 --> 00:33:40,240
Speaker 10: on two hundred and forty thousand individual donors so that

640
00:33:40,280 --> 00:33:42,200
Speaker 10: our candidates don't have to take corporate money so that

641
00:33:42,240 --> 00:33:45,240
Speaker 10: we can truly back them and not have them unilaterally disarmed.

642
00:33:45,400 --> 00:33:47,560
Speaker 10: We saw a pathway for NIDA. We didn't ask about AI.

643
00:33:47,640 --> 00:33:49,520
Speaker 10: But what I will tell you I think is probably

644
00:33:49,560 --> 00:33:51,520
Speaker 10: having just as much, if not a bigger impact, is

645
00:33:51,520 --> 00:33:54,080
Speaker 10: the fact that you simultaneously are dealing with the district

646
00:33:54,120 --> 00:33:56,960
Speaker 10: where it has had some of the most doage cuts

647
00:33:57,000 --> 00:34:00,320
Speaker 10: of any district in the country, and it has a

648
00:34:00,680 --> 00:34:02,920
Speaker 10: very high number. It's one of the youngest congressional districts

649
00:34:02,920 --> 00:34:04,320
Speaker 10: in the country. It has a very high number of

650
00:34:04,400 --> 00:34:06,720
Speaker 10: recent college grads that we know right now have an

651
00:34:06,800 --> 00:34:10,040
Speaker 10: unemployment rate of around forty five percent. That feel like

652
00:34:10,440 --> 00:34:12,839
Speaker 10: and I'm sure that an AI data center is not

653
00:34:12,880 --> 00:34:15,200
Speaker 10: going to drive well with them or the people who

654
00:34:15,200 --> 00:34:17,040
Speaker 10: have their kids living at home right now after they

655
00:34:17,040 --> 00:34:19,840
Speaker 10: graduate from UNC or whatever other schools are in the

656
00:34:19,840 --> 00:34:23,480
Speaker 10: district because of automation and AI.

657
00:34:23,800 --> 00:34:26,160
Speaker 11: Interesting data point on that. In twenty twenty two they

658
00:34:26,239 --> 00:34:29,520
Speaker 11: moved the primary to May. It was after colleges had

659
00:34:29,640 --> 00:34:32,080
Speaker 11: let out for the summer. This time it's in March.

660
00:34:32,440 --> 00:34:35,799
Speaker 11: The college students will be there and likely be voting.

661
00:34:35,520 --> 00:34:37,040
Speaker 10: And that was one of our first questions when we

662
00:34:37,040 --> 00:34:39,239
Speaker 10: were looking at NITA back in June and July of

663
00:34:39,280 --> 00:34:41,839
Speaker 10: twenty twenty five was how do we time this so

664
00:34:41,880 --> 00:34:44,719
Speaker 10: that nobody else gets in the race, so that we

665
00:34:44,719 --> 00:34:47,520
Speaker 10: don't have another situation where the field is fractured and

666
00:34:47,560 --> 00:34:49,280
Speaker 10: then it's way harder to have a pathway to victory.

667
00:34:49,320 --> 00:34:52,960
Speaker 10: So it's just and on top of that, are the

668
00:34:52,960 --> 00:34:55,399
Speaker 10: college students actually going to be there, because we've seen

669
00:34:55,440 --> 00:34:58,040
Speaker 10: districts where you know, in the past, I've seen polling

670
00:34:58,040 --> 00:35:00,239
Speaker 10: where a candidate looks like they're going to win because

671
00:35:00,239 --> 00:35:02,040
Speaker 10: we account for a lot of college students turning out

672
00:35:02,040 --> 00:35:04,439
Speaker 10: and then it turns out, oh they're on spring bread

673
00:35:04,760 --> 00:35:06,799
Speaker 10: or oh, you know, it's summer break, and then they

674
00:35:06,840 --> 00:35:09,040
Speaker 10: don't turn out and then the candidate loses. In this case,

675
00:35:09,320 --> 00:35:11,120
Speaker 10: we looked at the polling, we looked at the redistricting,

676
00:35:11,120 --> 00:35:13,759
Speaker 10: and we saw a huge opportunity to show and send

677
00:35:13,760 --> 00:35:17,919
Speaker 10: a shockwaves through the electoral system that if Nido wins here,

678
00:35:18,200 --> 00:35:20,359
Speaker 10: I think will really send a chill down the spine

679
00:35:20,400 --> 00:35:22,360
Speaker 10: of a lot of people in the establishment who historically

680
00:35:22,560 --> 00:35:25,560
Speaker 10: have relied on corporations, relied on a pack and thought

681
00:35:25,600 --> 00:35:28,239
Speaker 10: that they were safe because of that, and ironically, the

682
00:35:28,280 --> 00:35:29,759
Speaker 10: thing that used to keep them the most safe is

683
00:35:29,760 --> 00:35:32,160
Speaker 10: now the thing that makes them most vulnerable. We as leaders,

684
00:35:32,160 --> 00:35:34,640
Speaker 10: we deserve our friends over at Justice, Democrats, at Sunrise

685
00:35:34,680 --> 00:35:37,440
Speaker 10: Movement and other groups and obviously you will too, are

686
00:35:37,760 --> 00:35:40,480
Speaker 10: working to make the biggest asset these groups have, which

687
00:35:40,520 --> 00:35:43,120
Speaker 10: is their money, their biggest liability. That gets harder with

688
00:35:43,120 --> 00:35:47,000
Speaker 10: the shell packs, obviously. But what I don't think people

689
00:35:47,040 --> 00:35:50,879
Speaker 10: like Hakeem Jeffries or Chuck Schumer realize is that Gen

690
00:35:51,000 --> 00:35:54,400
Speaker 10: Z and Millennials are increasingly We're almost a majority of

691
00:35:54,440 --> 00:35:58,520
Speaker 10: the electorate at this point. I don't think they understand

692
00:35:58,520 --> 00:36:00,920
Speaker 10: how much we vehemently hate politicians is that take corporate

693
00:36:00,960 --> 00:36:04,360
Speaker 10: money and appear to engage in insider trading. As a generation,

694
00:36:04,520 --> 00:36:06,719
Speaker 10: we feel like the entire system has been bought and

695
00:36:06,760 --> 00:36:10,000
Speaker 10: sold out from underneath us. And when these politicians take

696
00:36:10,000 --> 00:36:11,320
Speaker 10: corporate money, I think for a lot of them, like

697
00:36:11,360 --> 00:36:13,279
Speaker 10: Valerie Fushi, they're like, what thing in my district, It's

698
00:36:13,280 --> 00:36:15,879
Speaker 10: totally fine. They don't understand what that tells voters, which

699
00:36:15,920 --> 00:36:19,360
Speaker 10: is that you are effectively being bribed by these corporations.

700
00:36:19,400 --> 00:36:20,759
Speaker 7: You should talk about the article one thing.

701
00:36:20,880 --> 00:36:23,759
Speaker 5: Yeah, and I mentioned that she raised five hundred and

702
00:36:23,760 --> 00:36:26,880
Speaker 5: fifty thousand dollars more than two hundred fifty thousand. That

703
00:36:27,000 --> 00:36:29,319
Speaker 5: was packs corp. Mostly corporate packs, but some you know,

704
00:36:29,400 --> 00:36:30,359
Speaker 5: labor fishes as well.

705
00:36:30,360 --> 00:36:30,680
Speaker 7: Fushi.

706
00:36:31,040 --> 00:36:34,080
Speaker 5: Yeah, so yes, to your point, like even the tiny

707
00:36:34,120 --> 00:36:35,719
Speaker 5: amount of money she raised, most of it was from

708
00:36:36,160 --> 00:36:39,080
Speaker 5: corporate packs. But yeah, So let's get to the reveal

709
00:36:39,120 --> 00:36:41,640
Speaker 5: on this article. One thing, because this is this is incredible.

710
00:36:42,600 --> 00:36:46,239
Speaker 5: We reported in the past twenty twenty four a PAC

711
00:36:46,360 --> 00:36:48,920
Speaker 5: was using a PAC used a science a pro science

712
00:36:48,960 --> 00:36:52,960
Speaker 5: pack three fourteen action to like in Illinois. As as

713
00:36:53,040 --> 00:36:57,080
Speaker 5: Dan and I reported, they created these two fake packs,

714
00:36:57,520 --> 00:37:01,560
Speaker 5: brand new packs and election kago women big concern for

715
00:37:01,600 --> 00:37:07,399
Speaker 5: a pack girl boy, yes, and affordable affordable Chicago. Now

716
00:37:08,080 --> 00:37:12,200
Speaker 5: like a PAC literally biting off of mom Donnie's affordability.

717
00:37:12,680 --> 00:37:14,960
Speaker 10: That's unapologetic. They are where their money's come.

718
00:37:15,200 --> 00:37:18,320
Speaker 11: Yeah, and then there's and then they were coordinating donors

719
00:37:18,360 --> 00:37:23,239
Speaker 11: through these unbranded fundraisers. And if you looked at the

720
00:37:23,239 --> 00:37:26,880
Speaker 11: candidates they were supporting in these Illinois races, Laura Fine

721
00:37:27,000 --> 00:37:30,920
Speaker 11: in Illinois nine, Donna Miller in Illinois two, and Melissa

722
00:37:30,960 --> 00:37:35,360
Speaker 11: Being in Illinois eight. Uh, they were sharing one hundred doors.

723
00:37:35,719 --> 00:37:39,200
Speaker 11: Hundreds of donors also donated in the past.

724
00:37:38,920 --> 00:37:41,680
Speaker 5: To APAC just a coincidence that So that's how you

725
00:37:41,680 --> 00:37:44,759
Speaker 5: can figure out in Chicago and the Illinois area, you

726
00:37:44,760 --> 00:37:46,960
Speaker 5: know that A pack is actually the one that's behind us. Right,

727
00:37:46,960 --> 00:37:50,760
Speaker 5: they say they're unapologetic about their participation, which is completely

728
00:37:50,800 --> 00:37:53,440
Speaker 5: hiding it, which it's you know, it's totally legal to.

729
00:37:53,440 --> 00:37:54,680
Speaker 7: Participate in the political process.

730
00:37:54,680 --> 00:37:56,600
Speaker 5: All we're asking is just you know, do it your

731
00:37:56,640 --> 00:37:59,319
Speaker 5: chest out, like, stand behind what you believe in. So

732
00:37:59,360 --> 00:38:01,919
Speaker 5: that gets us to this article one Pack. So its

733
00:38:02,000 --> 00:38:06,520
Speaker 5: first spending was in New Jersey eleven, which is the

734
00:38:06,520 --> 00:38:10,040
Speaker 5: one that people probably remember. This is Ana Lilia Mahea

735
00:38:10,680 --> 00:38:13,800
Speaker 5: and Tom Malinowski and the Lieutenant governor of New Jersey,

736
00:38:14,080 --> 00:38:18,560
Speaker 5: ta Heesha Way. A Pack was behind Way, and so

737
00:38:18,640 --> 00:38:25,759
Speaker 5: APAC spent millions tearing down Malinowski, and as you know

738
00:38:25,840 --> 00:38:29,920
Speaker 5: from watching the show, they accidentally elected Mehia. Right, Article

739
00:38:29,960 --> 00:38:33,400
Speaker 5: one came in boosting Way and people are like, what

740
00:38:33,440 --> 00:38:34,439
Speaker 5: is this Article one Pack?

741
00:38:34,520 --> 00:38:35,600
Speaker 7: This is this is odd.

742
00:38:36,080 --> 00:38:39,040
Speaker 5: So the second time it has ever spent any money

743
00:38:39,040 --> 00:38:42,800
Speaker 5: is this six hundred thousand dollars on behalf of fushi.

744
00:38:44,280 --> 00:38:47,520
Speaker 5: Now I've been told by sources, some with direct knowledge

745
00:38:47,520 --> 00:38:51,600
Speaker 5: of this, that this is a hikem Jeffries pack that

746
00:38:51,680 --> 00:38:54,040
Speaker 5: Hakeem is guiding this.

747
00:38:53,600 --> 00:38:56,040
Speaker 11: And there were some signals of that during the New

748
00:38:56,120 --> 00:39:00,239
Speaker 11: Jersey race. If you look back at what how this

749
00:39:00,360 --> 00:39:03,160
Speaker 11: Article one pack was formed and who it's associated with.

750
00:39:03,200 --> 00:39:06,160
Speaker 11: A thing called Article one Victory that has ties to

751
00:39:06,200 --> 00:39:11,560
Speaker 11: the Democratic Congressional Campaign Committee, which is a leadership organization essentially,

752
00:39:12,200 --> 00:39:15,880
Speaker 11: and ties to a bunch of swing district members of

753
00:39:15,920 --> 00:39:18,480
Speaker 11: Congress who are the type of people who the D

754
00:39:18,560 --> 00:39:20,080
Speaker 11: Triple C supports.

755
00:39:22,560 --> 00:39:24,960
Speaker 5: Now, I've also been told by a source with knowledge

756
00:39:24,960 --> 00:39:27,680
Speaker 5: of this that it is funneling a PAC money. So

757
00:39:27,880 --> 00:39:31,560
Speaker 5: instead of using these elect Chicago women packs, Hakim Jeffries

758
00:39:31,600 --> 00:39:33,960
Speaker 5: is setting up a vehicle that is allowing a PAC

759
00:39:34,040 --> 00:39:37,520
Speaker 5: money to come through. And we know how they're doing

760
00:39:37,560 --> 00:39:41,160
Speaker 5: it thanks to Matthew EDI's reporting out of Chicago. So

761
00:39:41,239 --> 00:39:43,680
Speaker 5: we can put up E three here and so let's

762
00:39:43,680 --> 00:39:47,920
Speaker 5: follow along because this is fun to unpack. So Edy

763
00:39:48,160 --> 00:39:53,319
Speaker 5: obtained two emails that were privately sent by a pack

764
00:39:53,760 --> 00:39:56,480
Speaker 5: on August twenty first and then again on September fifteenth,

765
00:39:56,840 --> 00:40:00,000
Speaker 5: and what they were doing is they were raising money

766
00:40:00,600 --> 00:40:04,640
Speaker 5: for Laura Fine, who's running in this Illinois nine. This

767
00:40:04,640 --> 00:40:09,440
Speaker 5: is Chicago area district. And so the emails said, please

768
00:40:09,480 --> 00:40:12,719
Speaker 5: support Laura Fine. So now we know it's APAC because

769
00:40:12,760 --> 00:40:16,120
Speaker 5: APAK is saying please support Laura Fine, and do it

770
00:40:16,440 --> 00:40:19,840
Speaker 5: through this hidden web page. That's that's called the Quote

771
00:40:19,880 --> 00:40:23,319
Speaker 5: Pro Israel Network. So it's a link that you can't

772
00:40:23,320 --> 00:40:27,200
Speaker 5: really find unless APAC sends you directly there. So then

773
00:40:27,239 --> 00:40:30,319
Speaker 5: we put up put up this next, next, put up

774
00:40:31,440 --> 00:40:36,239
Speaker 5: E four here, So basically here here are the emails

775
00:40:37,440 --> 00:40:42,200
Speaker 5: they run through. He so this is him obtaining the

776
00:40:42,239 --> 00:40:44,239
Speaker 5: actual emails if you didn't believe him the first time.

777
00:40:45,280 --> 00:40:49,600
Speaker 5: And so put up E five here. And so then

778
00:40:49,640 --> 00:40:53,120
Speaker 5: you go through the FEC filings and he found that

779
00:40:53,520 --> 00:40:56,000
Speaker 5: more than one hundred and fifty of fines donations, which

780
00:40:56,000 --> 00:40:58,439
Speaker 5: are three hundred thousand dollars came.

781
00:40:58,640 --> 00:40:59,120
Speaker 7: It worked.

782
00:40:59,360 --> 00:41:02,400
Speaker 5: They they funnel the money to APEC.

783
00:41:02,640 --> 00:41:05,440
Speaker 11: Often it's on the same day, right, all this money

784
00:41:05,440 --> 00:41:09,880
Speaker 11: comes in because it's a virtual fundraiser. And often you know,

785
00:41:10,280 --> 00:41:13,400
Speaker 11: Fine and other candidates are bundled in these emails and

786
00:41:13,440 --> 00:41:15,520
Speaker 11: you see the same amount of money going to the

787
00:41:15,560 --> 00:41:17,759
Speaker 11: same candidates on the same day.

788
00:41:18,000 --> 00:41:20,560
Speaker 5: And so they're using and so you can put up

789
00:41:20,560 --> 00:41:22,839
Speaker 5: the next, put up the next element. So using this

790
00:41:22,840 --> 00:41:27,759
Speaker 5: thing called Democracy Engine LLC, which sometimes shows up in

791
00:41:27,800 --> 00:41:32,960
Speaker 5: the FEC to funnel to funnel the money through, right

792
00:41:33,320 --> 00:41:33,680
Speaker 5: and so.

793
00:41:35,000 --> 00:41:36,600
Speaker 11: And I've seen these too, by the way, and there

794
00:41:36,600 --> 00:41:40,520
Speaker 11: are dozens of these virtual fundraisers and this what they were.

795
00:41:40,520 --> 00:41:43,920
Speaker 11: So what this is generally being done for individual donations

796
00:41:43,960 --> 00:41:46,680
Speaker 11: to the candidate itself. What you're saying is that this

797
00:41:46,719 --> 00:41:48,520
Speaker 11: is a similar mechanism that is being used.

798
00:41:49,080 --> 00:41:50,959
Speaker 5: And we'll add this one in post because I didn't

799
00:41:50,960 --> 00:41:55,360
Speaker 5: put it into the rundown. And so what they're doing

800
00:41:55,960 --> 00:41:59,560
Speaker 5: is there they also a pac also sent directly to

801
00:41:59,640 --> 00:42:03,680
Speaker 5: Aki Jeffries through the same process and using this democracy engine,

802
00:42:03,719 --> 00:42:08,160
Speaker 5: so they funneled so that we have and we'll put

803
00:42:08,200 --> 00:42:13,760
Speaker 5: it up. We'll put it up here, the Jeffers Victory Fund.

804
00:42:14,440 --> 00:42:18,000
Speaker 5: A pack sends directly through this process to the Jeffreys

805
00:42:18,120 --> 00:42:18,800
Speaker 5: Victory Fund.

806
00:42:19,320 --> 00:42:22,480
Speaker 11: So then it raises and then Jeffries gives to Article

807
00:42:22,560 --> 00:42:25,440
Speaker 11: one pack and an Article one pack gives you know,

808
00:42:25,600 --> 00:42:28,520
Speaker 11: it donates it or there could there could be even

809
00:42:28,520 --> 00:42:32,040
Speaker 11: another intermediary before it gets well there is because I mean,

810
00:42:32,120 --> 00:42:36,480
Speaker 11: what we know is the three hundred and fifty thousand

811
00:42:36,480 --> 00:42:39,480
Speaker 11: that went to Tahisha Raise Raise was raised from something

812
00:42:39,520 --> 00:42:42,759
Speaker 11: called the Guzman Foundation, which no one's ever heard of

813
00:42:42,880 --> 00:42:46,319
Speaker 11: and no one knows anything about. So it could be

814
00:42:46,600 --> 00:42:48,719
Speaker 11: that could be the fourth link in that chain. Right,

815
00:42:48,800 --> 00:42:52,560
Speaker 11: So it's a fundraiser that goes to Jeffries. Jeffries then

816
00:42:52,600 --> 00:42:57,120
Speaker 11: gives the Guzman Foundation or something some other shell that

817
00:42:57,160 --> 00:42:59,440
Speaker 11: gives to Article one pack, and then that Article one

818
00:42:59,440 --> 00:43:02,279
Speaker 11: pack raises the money for the ads or does the ads.

819
00:43:02,280 --> 00:43:04,560
Speaker 10: It's a really dumb way of going about it, like

820
00:43:04,680 --> 00:43:07,560
Speaker 10: so over complicated and convoluted right in general.

821
00:43:07,280 --> 00:43:09,480
Speaker 11: And I thought it makes it hard to track and

822
00:43:09,560 --> 00:43:12,959
Speaker 11: hard for people like us to understand where the money

823
00:43:13,000 --> 00:43:13,759
Speaker 11: is actually coming from.

824
00:43:13,840 --> 00:43:14,280
Speaker 5: Absolutely.

825
00:43:14,360 --> 00:43:15,759
Speaker 10: I mean that's the whole point. One thing to note

826
00:43:15,760 --> 00:43:18,600
Speaker 10: too that I think people need to should understand about

827
00:43:18,640 --> 00:43:21,759
Speaker 10: why apacs can have such an effect as well when

828
00:43:21,800 --> 00:43:24,560
Speaker 10: they give, when they bundle money for candidates as they're

829
00:43:24,560 --> 00:43:27,000
Speaker 10: doing across Illinois, you know. And I got to say,

830
00:43:27,000 --> 00:43:30,400
Speaker 10: Illinois nine is getting a lot of attention. Obviously, Cat's amazing,

831
00:43:30,520 --> 00:43:34,480
Speaker 10: but there's also Robert Peters who's getting massively attacked on

832
00:43:34,600 --> 00:43:37,680
Speaker 10: all sides by all special interests. He's got the trifecta

833
00:43:37,680 --> 00:43:41,360
Speaker 10: of hell coming up. That's basically in Illinois too, and

834
00:43:41,400 --> 00:43:44,560
Speaker 10: in that district, what we see is that the polling

835
00:43:44,640 --> 00:43:48,080
Speaker 10: there that it's really interesting because you have Illinois nine

836
00:43:48,120 --> 00:43:51,239
Speaker 10: with an electorate with way more you know, people with

837
00:43:51,360 --> 00:43:54,400
Speaker 10: masters and pH like Evanstone, and then you have the

838
00:43:54,440 --> 00:43:57,920
Speaker 10: second district that is a lot lower income, you know,

839
00:43:58,000 --> 00:44:00,759
Speaker 10: less higher rates of education. In the polling moves much

840
00:44:00,840 --> 00:44:04,000
Speaker 10: faster after APAC comes in and spends than it does

841
00:44:04,160 --> 00:44:06,480
Speaker 10: in Illinois ninth Congressional district. But the point that I

842
00:44:06,480 --> 00:44:09,280
Speaker 10: wanted to get at is that this bundling of money

843
00:44:09,320 --> 00:44:11,799
Speaker 10: that they do, the reason it can have so much

844
00:44:11,840 --> 00:44:16,000
Speaker 10: of an impact is because candidates, when they're spending on TV,

845
00:44:16,680 --> 00:44:20,680
Speaker 10: get candidate rate that is legally required to be the

846
00:44:20,760 --> 00:44:22,960
Speaker 10: lowest rate. And correct me if I'm wrong with I understanding.

847
00:44:23,120 --> 00:44:26,320
Speaker 11: It has to be the lowest rate, even less sometimes

848
00:44:26,400 --> 00:44:28,480
Speaker 11: ten times is my butt for superpack.

849
00:44:29,040 --> 00:44:31,400
Speaker 10: But if it's a superpack where somebody says, Okay, I'm

850
00:44:31,400 --> 00:44:33,360
Speaker 10: going to give you one hundred thousand dollars to United

851
00:44:33,360 --> 00:44:38,120
Speaker 10: for Democracy Project whatever that money, those ads cost twice

852
00:44:38,120 --> 00:44:41,000
Speaker 10: as much if it's an independent expenditure on broadcast or

853
00:44:41,000 --> 00:44:42,799
Speaker 10: on TV a lot of the time, So that's why

854
00:44:42,880 --> 00:44:44,560
Speaker 10: it has so much of an impact with that bundling

855
00:44:44,560 --> 00:44:47,839
Speaker 10: of money, and it gives the candidates the plausible deniability

856
00:44:47,840 --> 00:44:49,120
Speaker 10: to be like, oh, I didn't know that this was

857
00:44:49,160 --> 00:44:52,480
Speaker 10: a pack, which is obviously bullshit, but it gives them

858
00:44:52,520 --> 00:44:55,120
Speaker 10: that ability because it's not apac directly giving them that money,

859
00:44:55,239 --> 00:44:56,600
Speaker 10: and it goes from further.

860
00:44:56,760 --> 00:44:59,160
Speaker 5: It also puts a dollar value on the secrecy that

861
00:44:59,280 --> 00:45:03,719
Speaker 5: a pack cherishes, because they what they could have done

862
00:45:04,120 --> 00:45:09,160
Speaker 5: is us democracy engine to send money directly to Valerie Fushi,

863
00:45:09,200 --> 00:45:12,759
Speaker 5: for instance, and then she needed the money, and then

864
00:45:12,800 --> 00:45:16,640
Speaker 5: she could have gotten the preferential ad rates and done

865
00:45:16,680 --> 00:45:17,759
Speaker 5: exactly how she wanted to do.

866
00:45:17,840 --> 00:45:19,560
Speaker 7: But she had pledged not to take ady back money.

867
00:45:19,560 --> 00:45:20,359
Speaker 7: And these are the things.

868
00:45:20,520 --> 00:45:24,279
Speaker 11: These are, these kinds of unbranded fund raisers are the

869
00:45:24,360 --> 00:45:26,720
Speaker 11: exact things that she apparently rejects.

870
00:45:26,719 --> 00:45:28,239
Speaker 5: She said, don't do that, That's what I was told.

871
00:45:28,320 --> 00:45:30,719
Speaker 5: So instead, because she was mindful of the backlash, right,

872
00:45:30,760 --> 00:45:33,440
Speaker 5: so that they found the Jeffries that's right, who then

873
00:45:33,440 --> 00:45:35,040
Speaker 5: loops it back around to article.

874
00:45:34,880 --> 00:45:38,080
Speaker 11: And so it's less impactful because it's it's more expensive

875
00:45:38,120 --> 00:45:41,640
Speaker 11: to run those ads, but it allows to keep this

876
00:45:41,840 --> 00:45:44,080
Speaker 11: wall of deniability up.

877
00:45:44,160 --> 00:45:46,239
Speaker 10: It's an important to note too, to think about what

878
00:45:46,280 --> 00:45:49,480
Speaker 10: this means from Jeffrey's position as well, this is, you know,

879
00:45:49,520 --> 00:45:51,719
Speaker 10: I think, of course there's the apac role here, as

880
00:45:51,719 --> 00:45:53,600
Speaker 10: there is in so many of these races around the country,

881
00:45:53,719 --> 00:45:55,680
Speaker 10: but you also got to put yourself in Jeffrey's shoes.

882
00:45:55,920 --> 00:45:58,160
Speaker 10: His job is to try to protect his members so

883
00:45:58,160 --> 00:46:00,000
Speaker 10: that he can keep his majority that he needs to

884
00:46:00,000 --> 00:46:03,799
Speaker 10: be able to get to continue to be Speaker of

885
00:46:03,840 --> 00:46:06,880
Speaker 10: the House. And I think, in combination with the attacks

886
00:46:06,880 --> 00:46:08,440
Speaker 10: on all of these incumbents, what he's trying to do

887
00:46:08,440 --> 00:46:10,719
Speaker 10: in this race. What's fascinating to me about it is

888
00:46:10,760 --> 00:46:13,879
Speaker 10: how late the spending is right now. It came in

889
00:46:13,960 --> 00:46:15,759
Speaker 10: so late. It didn't come in a month ago when

890
00:46:15,760 --> 00:46:17,440
Speaker 10: it could have actually had I think, way more of

891
00:46:17,440 --> 00:46:20,000
Speaker 10: an impact. It started coming in way later when it

892
00:46:20,080 --> 00:46:22,560
Speaker 10: presumably they saw Paulton that showed that Fushi was toast.

893
00:46:22,640 --> 00:46:25,279
Speaker 11: We're talking about two point two million dollars in the

894
00:46:25,320 --> 00:46:29,480
Speaker 11: final eleven days of the race. That's two hundred thousand dollars.

895
00:46:29,440 --> 00:46:31,600
Speaker 5: Nothing and nothing but these ads on TV.

896
00:46:32,200 --> 00:46:34,479
Speaker 10: I think what we're seeing here is Jeffrey is trying

897
00:46:34,520 --> 00:46:36,839
Speaker 10: to show his other members, look, I'm going to back

898
00:46:36,920 --> 00:46:39,160
Speaker 10: you so that even if Fushi does lose, they feel like, well,

899
00:46:39,160 --> 00:46:40,480
Speaker 10: I still want to vote for him because he's going

900
00:46:40,520 --> 00:46:43,279
Speaker 10: to help protect me, because once you're in theoretically he

901
00:46:43,560 --> 00:46:45,200
Speaker 10: wants to protect you if you're going to vote for him.

902
00:46:45,440 --> 00:46:48,239
Speaker 10: What's interesting about this whole dynamic, though, is if there

903
00:46:48,239 --> 00:46:50,799
Speaker 10: are so many people that end up getting defeated by

904
00:46:50,840 --> 00:46:53,360
Speaker 10: these incumbent challengers. Every one of our incoment challengers that

905
00:46:53,440 --> 00:46:56,440
Speaker 10: leaders we deserve a supporting outraise their opponent last quarter,

906
00:46:56,719 --> 00:46:58,719
Speaker 10: and Justin Pearson outraised his opponent. I think it was

907
00:46:58,840 --> 00:47:02,880
Speaker 10: nine to one against Steve Cohen. So that is obviously

908
00:47:02,920 --> 00:47:05,359
Speaker 10: getting their attention. But what will be interesting to see

909
00:47:05,360 --> 00:47:08,560
Speaker 10: how is two things. One of these incumbents who win,

910
00:47:08,840 --> 00:47:12,000
Speaker 10: how does Jeffries try to reconcile with them, right because

911
00:47:12,000 --> 00:47:14,080
Speaker 10: he obviously wants to continue being speaker, And how can

912
00:47:14,120 --> 00:47:16,320
Speaker 10: they use that potentially to try to fend off future

913
00:47:16,320 --> 00:47:20,120
Speaker 10: primary challenges from groups like APAC. Obviously there's a trade

914
00:47:20,160 --> 00:47:21,960
Speaker 10: to be made there, But on top of that, it's

915
00:47:21,960 --> 00:47:25,520
Speaker 10: also a question of with the VRA coming up with

916
00:47:25,600 --> 00:47:27,920
Speaker 10: that whole you know, Supreme Court case, how does that

917
00:47:28,040 --> 00:47:30,960
Speaker 10: end up changing Jeffrey's coalition. If a lot of these

918
00:47:30,960 --> 00:47:33,000
Speaker 10: districts that were created by the Voting Rights Act no

919
00:47:33,080 --> 00:47:33,880
Speaker 10: longer existing.

920
00:47:34,719 --> 00:47:37,760
Speaker 11: I just think the this is what makes the Alum

921
00:47:37,840 --> 00:47:42,480
Speaker 11: race so important because there's now a coalition. I mean,

922
00:47:42,560 --> 00:47:46,160
Speaker 11: ALAM in twenty twenty two got zero dollars in outside

923
00:47:46,160 --> 00:47:50,120
Speaker 11: spending from independent groups. This time she's got one point

924
00:47:50,160 --> 00:47:52,480
Speaker 11: five million. And it's sort of cobbled together with a

925
00:47:52,480 --> 00:47:53,839
Speaker 11: bunch of different organized.

926
00:47:53,480 --> 00:47:55,120
Speaker 5: Areas in there's coming together.

927
00:47:55,200 --> 00:47:59,520
Speaker 11: Yeah, Working Families, Party Justice, Democrats, this American Priorities Group leaders.

928
00:47:59,520 --> 00:48:02,520
Speaker 7: We deserve how much you drop in a couple of So.

929
00:48:02,480 --> 00:48:03,960
Speaker 10: I'm on the hard side. But last I checked in,

930
00:48:04,000 --> 00:48:06,040
Speaker 10: there is about two hundred and fifty thousand.

931
00:48:06,080 --> 00:48:09,960
Speaker 11: Right, so you know, uh, there's parody here. There's some

932
00:48:09,960 --> 00:48:13,600
Speaker 11: competitiveness here that we did not see in the last

933
00:48:13,640 --> 00:48:16,719
Speaker 11: two cycles. They're really it was just sort of you know,

934
00:48:16,880 --> 00:48:20,600
Speaker 11: lambs to the slaughter if you're talking about these these organizations,

935
00:48:20,600 --> 00:48:23,440
Speaker 11: and there was an attempt to do political education around

936
00:48:23,440 --> 00:48:25,160
Speaker 11: this money is coming from APEC and this is what

937
00:48:25,200 --> 00:48:26,760
Speaker 11: it means, or this money is coming from.

938
00:48:26,600 --> 00:48:30,359
Speaker 7: Crypto, but now it's there's still that.

939
00:48:30,719 --> 00:48:33,480
Speaker 11: But there's also and we we've got your back with

940
00:48:33,520 --> 00:48:36,560
Speaker 11: some actual firepower here. So that's why I think this

941
00:48:36,680 --> 00:48:40,279
Speaker 11: race is so important, and if Alum still prevails despite

942
00:48:40,640 --> 00:48:45,080
Speaker 11: this last minute rush, it really does change the understanding

943
00:48:45,120 --> 00:48:48,880
Speaker 11: and the conception of you know what these races are

944
00:48:48,880 --> 00:48:50,840
Speaker 11: going to look like, going for massively.

945
00:48:50,960 --> 00:48:53,399
Speaker 10: I mean it's I think that the entire the sense

946
00:48:53,440 --> 00:48:56,279
Speaker 10: of these incumbents have such a sense of entitlement. I

947
00:48:56,280 --> 00:48:59,320
Speaker 10: think it's actually a huge asset for the progressive movement. Ironically,

948
00:48:59,400 --> 00:49:02,719
Speaker 10: of these child because they are so self absorbed and

949
00:49:02,760 --> 00:49:05,319
Speaker 10: obsessed with themselves that they tell themselves, I'm so great

950
00:49:05,320 --> 00:49:07,200
Speaker 10: at being a member of Congress. I can't be defeated.

951
00:49:07,560 --> 00:49:10,560
Speaker 10: That's what then results in them getting cocky and not fundraising.

952
00:49:10,840 --> 00:49:13,239
Speaker 10: That's the results. That's what results in them going out

953
00:49:13,239 --> 00:49:15,040
Speaker 10: there and being like, oh, it's fine, like these challengers,

954
00:49:15,239 --> 00:49:17,120
Speaker 10: I don't really need to worry about them, and then

955
00:49:17,200 --> 00:49:19,040
Speaker 10: all of a sudden, people like Valerie if you have

956
00:49:19,080 --> 00:49:21,720
Speaker 10: a oh shit moment, you know, two weeks before the election,

957
00:49:21,760 --> 00:49:22,520
Speaker 10: are texting.

958
00:49:24,200 --> 00:49:24,640
Speaker 7: Exactly.

959
00:49:25,000 --> 00:49:30,279
Speaker 10: And what we're seeing too is because they're they're so

960
00:49:30,480 --> 00:49:34,080
Speaker 10: focused on themselves. We've seen people like Steve Cohen compared

961
00:49:34,200 --> 00:49:37,680
Speaker 10: Justin Pearson's challenge of him to Pearl Harbor, for example.

962
00:49:38,160 --> 00:49:40,040
Speaker 10: Right then we go out there and we see somebody

963
00:49:40,040 --> 00:49:42,800
Speaker 10: like Stephen Lynch go out there at a Doge protest

964
00:49:42,800 --> 00:49:45,520
Speaker 10: talking about all the Doge cuts against VA theoretically a

965
00:49:45,520 --> 00:49:45,839
Speaker 10: good thing.

966
00:49:45,920 --> 00:49:46,080
Speaker 7: Right.

967
00:49:46,400 --> 00:49:48,600
Speaker 10: When somebody helckles him and says says that you need

968
00:49:48,640 --> 00:49:51,080
Speaker 10: to do more to fight back against Donald Trump, he says,

969
00:49:51,160 --> 00:49:54,120
Speaker 10: I'm the member of Congress, not you me. If you

970
00:49:54,160 --> 00:49:56,680
Speaker 10: want to make that decision, you run for Congress. Leaders

971
00:49:56,680 --> 00:49:59,120
Speaker 10: who deserve is happy to answer that call and light

972
00:49:59,160 --> 00:50:01,840
Speaker 10: of fire under the assets of the Democratic establishment to

973
00:50:01,880 --> 00:50:03,480
Speaker 10: force our party to be better. And the great thing

974
00:50:03,520 --> 00:50:07,840
Speaker 10: about this moment is, unlike in twenty eighteen, when the

975
00:50:07,880 --> 00:50:10,120
Speaker 10: progressive movement was much more spread out, it was much

976
00:50:10,200 --> 00:50:13,080
Speaker 10: less coordinated. In many of these races, we are in

977
00:50:13,520 --> 00:50:16,560
Speaker 10: lock step and we have managed to grow enough small

978
00:50:16,560 --> 00:50:18,919
Speaker 10: dollars support from the movement. And when we do come together,

979
00:50:18,960 --> 00:50:21,640
Speaker 10: when Justice Dems comes in, when leaders comes in with

980
00:50:21,719 --> 00:50:24,839
Speaker 10: American when American Priorities comes in, when all these other

981
00:50:24,880 --> 00:50:28,160
Speaker 10: groups come together, and we carefully select these races, we're

982
00:50:28,160 --> 00:50:30,680
Speaker 10: not setting the precedent like, oh, progressives can't win. We're

983
00:50:30,680 --> 00:50:33,319
Speaker 10: setting the president that when we come together, we win,

984
00:50:33,440 --> 00:50:35,680
Speaker 10: and we are a real serious threat. So you better

985
00:50:35,719 --> 00:50:37,960
Speaker 10: not take corporate money. You better not take support for

986
00:50:38,000 --> 00:50:39,520
Speaker 10: APAK or you're going to have a hell of a

987
00:50:39,560 --> 00:50:40,960
Speaker 10: primary season ahead of you.

988
00:50:41,120 --> 00:50:42,880
Speaker 5: It's going to be an interesting race on Tuesday, that's

989
00:50:42,960 --> 00:50:45,120
Speaker 5: for sure. Last thing I want to ask you, guys about,

990
00:50:45,880 --> 00:50:50,560
Speaker 5: is this news that apparently the reason that the Democratic

991
00:50:50,640 --> 00:50:53,920
Speaker 5: National Committee doesn't want to release this autopsy that they

992
00:50:53,920 --> 00:50:56,160
Speaker 5: did of the twenty twenty four election is that it

993
00:50:56,280 --> 00:51:00,640
Speaker 5: found that the Democratic support for the jam siding guys,

994
00:51:00,640 --> 00:51:02,919
Speaker 5: I had a net negative effect. We don't know though,

995
00:51:04,239 --> 00:51:08,920
Speaker 5: whether or not that was considered to be decisive by

996
00:51:08,920 --> 00:51:11,160
Speaker 5: this autopsy or not, because they're not revealing it, so

997
00:51:11,239 --> 00:51:13,439
Speaker 5: we actually breaking points and drops. I would put it together.

998
00:51:13,480 --> 00:51:17,400
Speaker 5: Petition will put it down at the bottom of the

999
00:51:17,400 --> 00:51:20,080
Speaker 5: show notes here, just calling on the DNC just release

1000
00:51:20,160 --> 00:51:22,080
Speaker 5: this thing, like let us let us see it. Like

1001
00:51:22,280 --> 00:51:23,680
Speaker 5: I'm not telling you what to think about it, but

1002
00:51:24,280 --> 00:51:26,600
Speaker 5: let us let us see the autopsy. Preferably leak it

1003
00:51:26,600 --> 00:51:28,120
Speaker 5: to us first, but just make it.

1004
00:51:28,200 --> 00:51:28,840
Speaker 7: Make it public.

1005
00:51:29,080 --> 00:51:31,919
Speaker 5: Have you had any meetings with the DNC about this

1006
00:51:32,440 --> 00:51:34,560
Speaker 5: issue or this autopsy? What can you tell us about

1007
00:51:34,560 --> 00:51:38,240
Speaker 5: what you understand about this analysis and why they're keeping

1008
00:51:38,239 --> 00:51:39,000
Speaker 5: it private.

1009
00:51:39,320 --> 00:51:41,160
Speaker 10: Well, what I can tell you. Is two things. One,

1010
00:51:41,440 --> 00:51:45,239
Speaker 10: Ken Martin campaigned on releasing this, yeah, and you were

1011
00:51:45,320 --> 00:51:47,600
Speaker 10: his and I was share to him, like I know

1012
00:51:47,640 --> 00:51:49,320
Speaker 10: that because I heard him say it a million times

1013
00:51:49,320 --> 00:51:51,000
Speaker 10: that all of the million forms that we had to

1014
00:51:51,040 --> 00:51:52,719
Speaker 10: do when we were running his vice chairs and chairs

1015
00:51:52,719 --> 00:51:55,000
Speaker 10: and everything like that. So this is not something where

1016
00:51:55,000 --> 00:51:57,240
Speaker 10: it's like Ken said, I'm going to do. By the way,

1017
00:51:57,080 --> 00:51:59,919
Speaker 10: they always refuse to call it an autopsy report because

1018
00:52:00,160 --> 00:52:01,960
Speaker 10: not dead yet is what they would say. They called

1019
00:52:02,000 --> 00:52:03,040
Speaker 10: an after action report.

1020
00:52:03,120 --> 00:52:04,560
Speaker 5: Fine, after action right.

1021
00:52:04,920 --> 00:52:08,359
Speaker 10: So that's one thing. It's not like Cherry Martin went

1022
00:52:08,400 --> 00:52:10,000
Speaker 10: out there and said, I'm going to do this thing,

1023
00:52:10,000 --> 00:52:11,719
Speaker 10: but it's going to be kept private. He actually said

1024
00:52:11,800 --> 00:52:13,239
Speaker 10: I'm going to release this and we're going to know

1025
00:52:13,280 --> 00:52:16,480
Speaker 10: why we lost, So release it. Don't go out there

1026
00:52:16,480 --> 00:52:17,799
Speaker 10: and claim we're going to do one thing and then

1027
00:52:17,840 --> 00:52:20,120
Speaker 10: not do it. The second thing is I will tell

1028
00:52:20,160 --> 00:52:22,680
Speaker 10: you at our first meeting in the building of the

1029
00:52:22,800 --> 00:52:25,840
Speaker 10: DNC with all of the officers who were elected and everything,

1030
00:52:26,239 --> 00:52:29,040
Speaker 10: we're going through like basically some of the most preliminary

1031
00:52:29,080 --> 00:52:31,640
Speaker 10: findings of like why we lost the election, common sense

1032
00:52:31,680 --> 00:52:33,560
Speaker 10: things as you can imagine that we're in there and

1033
00:52:33,640 --> 00:52:35,040
Speaker 10: one thing that I brought up, and there was like

1034
00:52:35,120 --> 00:52:37,560
Speaker 10: I said, look, I know that you guys don't want

1035
00:52:37,560 --> 00:52:40,080
Speaker 10: to talk about this, almost certainly, but we have to

1036
00:52:40,120 --> 00:52:43,239
Speaker 10: acknowledge what happened with Gaza and the fact that tens

1037
00:52:43,239 --> 00:52:46,240
Speaker 10: of thousands, hundreds of thousands of people, especially young people

1038
00:52:46,280 --> 00:52:50,239
Speaker 10: on college campuses, were losing their minds incredibly. It's set

1039
00:52:50,440 --> 00:52:53,160
Speaker 10: understandably over what was happening, and I know you don't

1040
00:52:53,160 --> 00:52:55,200
Speaker 10: want to talk about it, but we have to. And

1041
00:52:56,000 --> 00:52:58,520
Speaker 10: I have to believe that if they're actually writing an

1042
00:52:58,560 --> 00:53:01,600
Speaker 10: autopsy report, right, they have to talk about that. There

1043
00:53:01,640 --> 00:53:03,160
Speaker 10: has to be some part of it and they should

1044
00:53:03,239 --> 00:53:05,680
Speaker 10: release it to have transparency. I mean, we're rock bottom

1045
00:53:05,719 --> 00:53:08,000
Speaker 10: right now. We just lost to Donald Trump for the

1046
00:53:08,080 --> 00:53:10,680
Speaker 10: second time. What else do we have to lose? We

1047
00:53:10,760 --> 00:53:12,600
Speaker 10: might as well give the transparency of our vote to

1048
00:53:12,640 --> 00:53:15,840
Speaker 10: our voters of what actually happened here. But here's the problem.

1049
00:53:17,000 --> 00:53:21,160
Speaker 10: Our party is addicted to losing our party. And what

1050
00:53:21,200 --> 00:53:24,239
Speaker 10: I mean by that in particular is that people like

1051
00:53:24,280 --> 00:53:27,720
Speaker 10: Hakeem Jefferies, people like Chuck Schumer, people I would argue

1052
00:53:27,719 --> 00:53:31,200
Speaker 10: like Ken Martin as well, would much rather keep basically

1053
00:53:31,239 --> 00:53:34,000
Speaker 10: everything as similar as possible, to keep themselves in their

1054
00:53:34,000 --> 00:53:35,759
Speaker 10: own positions of power, whether it's in the Senate or

1055
00:53:35,760 --> 00:53:37,759
Speaker 10: in the House, or the DNC or whatever else it is,

1056
00:53:38,200 --> 00:53:40,920
Speaker 10: instead of actually addressing who we are as a party

1057
00:53:41,600 --> 00:53:44,120
Speaker 10: to get us into a governing majority. Because if we

1058
00:53:44,160 --> 00:53:45,680
Speaker 10: want to win back the White House, if we want

1059
00:53:45,680 --> 00:53:47,000
Speaker 10: to win back the House, if we want to big

1060
00:53:47,080 --> 00:53:49,160
Speaker 10: that win back the Senate, there is no pathway to

1061
00:53:49,200 --> 00:53:52,239
Speaker 10: doing that without winning back young Americans that historically have

1062
00:53:52,320 --> 00:53:54,360
Speaker 10: voted for Democrats. And if we don't offer them something

1063
00:53:54,400 --> 00:53:56,759
Speaker 10: new and don't just change our messaging, but change who

1064
00:53:56,800 --> 00:53:59,440
Speaker 10: we are and address our courage problem as a party

1065
00:53:59,520 --> 00:54:01,960
Speaker 10: where we're just constantly afraid of our own shadow, we're

1066
00:54:02,000 --> 00:54:02,799
Speaker 10: not going to change that.

1067
00:54:02,960 --> 00:54:05,800
Speaker 11: I mean, you're talking about the iron law of institutions,

1068
00:54:05,920 --> 00:54:08,759
Speaker 11: where you know, your status within the institution is more

1069
00:54:08,800 --> 00:54:14,319
Speaker 11: important than the status of the institution within the broader ecosystem.

1070
00:54:14,560 --> 00:54:14,799
Speaker 7: You know.

1071
00:54:14,960 --> 00:54:21,960
Speaker 11: I think that the Democratic Party weirdly discounts authenticity and

1072
00:54:22,080 --> 00:54:25,759
Speaker 11: honesty as say, virtue and a value that voters might

1073
00:54:25,800 --> 00:54:29,440
Speaker 11: respond to. And this is a perfect example of just

1074
00:54:29,640 --> 00:54:32,320
Speaker 11: we don't want to be honest with ourselves, let alone

1075
00:54:32,440 --> 00:54:35,360
Speaker 11: honest with the rest of the electorate about our own failings,

1076
00:54:35,960 --> 00:54:43,320
Speaker 11: and it just breeds this notion that you have something

1077
00:54:43,360 --> 00:54:47,480
Speaker 11: to hide, and it becomes a bigger problem than if

1078
00:54:47,480 --> 00:54:49,319
Speaker 11: you just rip the band aid off and say, yes,

1079
00:54:49,400 --> 00:54:52,040
Speaker 11: this is why we had a problem and we need

1080
00:54:52,080 --> 00:54:52,880
Speaker 11: to be honest about this.

1081
00:54:53,360 --> 00:54:55,359
Speaker 10: Yeah, I mean, just release the damn report. Who knows

1082
00:54:55,400 --> 00:54:57,000
Speaker 10: how much of an impact it really will even have

1083
00:54:57,040 --> 00:54:59,040
Speaker 10: to But if you're going to say you're going to

1084
00:54:59,080 --> 00:55:00,919
Speaker 10: release it, and you know we have a trust problem

1085
00:55:00,920 --> 00:55:03,440
Speaker 10: in the party, just release it. We're already at rock bottom.

1086
00:55:03,760 --> 00:55:06,560
Speaker 10: Just show us what much like, how much worse can

1087
00:55:06,600 --> 00:55:08,520
Speaker 10: it get? The only way upward from here?

1088
00:55:08,800 --> 00:55:11,480
Speaker 11: Well, but but the obvious problem is that you know

1089
00:55:11,640 --> 00:55:16,480
Speaker 11: we have the uh presume if if Democrats win in November,

1090
00:55:16,520 --> 00:55:19,319
Speaker 11: Speaker of the House laundering money through a bunch of

1091
00:55:19,360 --> 00:55:22,840
Speaker 11: donors who don't want to report release Also that's what's going.

1092
00:55:22,680 --> 00:55:26,479
Speaker 5: On public and billionaire donors to right, that's incredible exactly, Yeah,

1093
00:55:26,520 --> 00:55:28,600
Speaker 5: that's the impact you're talking about it a lot of

1094
00:55:28,600 --> 00:55:32,640
Speaker 5: the there's a fascinating moment in the Laura Fine race

1095
00:55:32,960 --> 00:55:36,920
Speaker 5: where she was at a campaign forum and they asked

1096
00:55:36,920 --> 00:55:40,000
Speaker 5: the question, did you have you taken money from Trump donors?

1097
00:55:40,239 --> 00:55:42,160
Speaker 5: And of course everybody in the race is a very

1098
00:55:42,960 --> 00:55:48,040
Speaker 5: busy field, said no, and Laura fine, very cheap. Yeah,

1099
00:55:48,080 --> 00:55:50,680
Speaker 5: good for her, Yeah, honestly, all right, David's great to

1100
00:55:50,680 --> 00:55:53,560
Speaker 5: have you guys. Buy David dan executive out of an

1101
00:55:53,560 --> 00:55:57,080
Speaker 5: American Prospect, David Hogwood leaders we deserve in former oust

1102
00:55:57,120 --> 00:55:58,759
Speaker 5: A vice chair DNC.

1103
00:55:58,880 --> 00:55:59,840
Speaker 10: Coming back with a vengeance.

1104
00:56:00,200 --> 00:56:02,520
Speaker 5: Sure, sure are excellent. Well, great to have you guys

1105
00:56:02,560 --> 00:56:06,560
Speaker 5: both here. All right, thanks.

1106
00:56:06,800 --> 00:56:10,000
Speaker 2: So, Ryan a sort of perfect setup for your interview

1107
00:56:10,040 --> 00:56:11,040
Speaker 2: with the candidate herself.

1108
00:56:11,320 --> 00:56:14,439
Speaker 5: Yes, So if you're just coming to this fresh, there's

1109
00:56:14,440 --> 00:56:17,320
Speaker 5: a good conversation that we just had with David Dayan

1110
00:56:17,800 --> 00:56:22,640
Speaker 5: and David Hogg about this race and the dynamics around

1111
00:56:22,680 --> 00:56:26,560
Speaker 5: it and others throughout the country. You can also just

1112
00:56:26,760 --> 00:56:29,000
Speaker 5: listen to this interview. We taped it yesterday. Since we

1113
00:56:29,040 --> 00:56:31,399
Speaker 5: recorded this interview, I actually did a lot of more

1114
00:56:31,480 --> 00:56:35,279
Speaker 5: reporting about the money that we talk about in this conversation.

1115
00:56:35,400 --> 00:56:38,520
Speaker 5: But the gist of it is here. This is Nita

1116
00:56:38,520 --> 00:56:41,840
Speaker 5: alam running in North Carolina's fourth district. The election is

1117
00:56:41,880 --> 00:56:45,759
Speaker 5: this coming Tuesday. Joining us to discuss more of this

1118
00:56:45,880 --> 00:56:49,640
Speaker 5: is Nida Alama, Durham County Commissioner, who is up for

1119
00:56:49,960 --> 00:56:53,520
Speaker 5: election in North Carolina's fourth district this coming Tuesday. If

1120
00:56:53,560 --> 00:56:57,279
Speaker 5: I'm not mistaken, Nina, welcome to Breaking Points. Thanks for

1121
00:56:57,360 --> 00:56:57,759
Speaker 5: joining us.

1122
00:56:58,120 --> 00:56:59,560
Speaker 12: Yeah, thank you so much for having me back.

1123
00:56:59,560 --> 00:56:59,840
Speaker 7: Brian.

1124
00:57:00,520 --> 00:57:04,600
Speaker 5: Yeah. So, for folks who missed our conversation last time

1125
00:57:04,600 --> 00:57:09,640
Speaker 5: we spoke about, you've jumped into a second race against

1126
00:57:09,880 --> 00:57:13,520
Speaker 5: Valerie Fushi, who's now the incumbent. You and her squared

1127
00:57:13,560 --> 00:57:17,520
Speaker 5: off in twenty twenty two. In that election, A pack

1128
00:57:18,160 --> 00:57:20,720
Speaker 5: through I don't remember if they did. I think they

1129
00:57:20,720 --> 00:57:24,680
Speaker 5: did it through their main super PAC United Democracy Project

1130
00:57:24,720 --> 00:57:27,880
Speaker 5: put more than two million dollars into the race, and

1131
00:57:27,920 --> 00:57:31,720
Speaker 5: they ended they ended up pushing Valerie Fushi passed you

1132
00:57:32,160 --> 00:57:34,560
Speaker 5: by about four points or something like, so very very

1133
00:57:34,560 --> 00:57:38,280
Speaker 5: close race, how much nine oh nine points? I remember

1134
00:57:38,280 --> 00:57:39,920
Speaker 5: it being a little bit closer. Nine points is still

1135
00:57:39,920 --> 00:57:42,920
Speaker 5: pretty close for getting more than two million dollars dropped

1136
00:57:42,920 --> 00:57:45,560
Speaker 5: on your head down the stretch of the election. Now,

1137
00:57:46,080 --> 00:57:51,240
Speaker 5: so recently, Fushi has been named to this three person

1138
00:57:51,680 --> 00:57:57,200
Speaker 5: Democratic task Force that is charged with crafting what House

1139
00:57:57,280 --> 00:58:00,600
Speaker 5: democratic policy is supposed to look like. It comes to

1140
00:58:01,280 --> 00:58:04,400
Speaker 5: artificial intelligence, and the way that these kinds of things

1141
00:58:04,400 --> 00:58:08,640
Speaker 5: work is that when a new issue arises, you kind

1142
00:58:08,640 --> 00:58:10,960
Speaker 5: of go outside of the committee system. I don't know

1143
00:58:10,960 --> 00:58:13,919
Speaker 5: why they even still have committees. Maybe you can tell

1144
00:58:13,960 --> 00:58:15,600
Speaker 5: me if you get back to congres, if you get

1145
00:58:15,600 --> 00:58:17,800
Speaker 5: to Congress, you can tell me what committees even do.

1146
00:58:17,880 --> 00:58:21,200
Speaker 5: Because whenever anything comes up, they create a new committee,

1147
00:58:21,640 --> 00:58:24,040
Speaker 5: even though they've got ones that have been operating, you know,

1148
00:58:24,240 --> 00:58:27,520
Speaker 5: semi continuously for hundreds of years at this point. And

1149
00:58:27,600 --> 00:58:30,160
Speaker 5: so the three members on that committee are are Fushi

1150
00:58:30,160 --> 00:58:32,800
Speaker 5: and they're appointed by Hakeem draft Fees just UNI latterly,

1151
00:58:32,960 --> 00:58:37,160
Speaker 5: so it would be Fushi, Ted lu who's a progressive

1152
00:58:37,200 --> 00:58:42,000
Speaker 5: in California. Almost every California Democrat is pretty friendly to

1153
00:58:42,560 --> 00:58:46,600
Speaker 5: the AI industry. And Josh Gottheimer, who is a New

1154
00:58:46,680 --> 00:58:51,640
Speaker 5: Jersey Democrat who is kind of notorious for being friendly

1155
00:58:51,680 --> 00:58:54,880
Speaker 5: to you know, whatever industry it is that he's that

1156
00:58:54,960 --> 00:58:56,960
Speaker 5: he's regulating, whether he's you know, he's on the Financial

1157
00:58:57,000 --> 00:59:00,560
Speaker 5: Service Committee. He's taken more money from banks, hedge funds

1158
00:59:00,560 --> 00:59:03,000
Speaker 5: of private equi than anybody else. He's known as like

1159
00:59:03,040 --> 00:59:09,360
Speaker 5: almost comically voracious fundraiser. So two industry folks plus then

1160
00:59:09,360 --> 00:59:10,880
Speaker 5: a kind of what you would call it as a

1161
00:59:10,920 --> 00:59:16,120
Speaker 5: normal Democrat, Valerie Fushie. So all of a sudden Fushi

1162
00:59:16,600 --> 00:59:19,560
Speaker 5: started getting upwards of seven hundred thousand dollars in support

1163
00:59:19,600 --> 00:59:23,200
Speaker 5: from this superpack that is backed by Anthropic, which presents

1164
00:59:23,200 --> 00:59:27,000
Speaker 5: itself as the AI safety superpack, which kind of goes

1165
00:59:27,040 --> 00:59:32,080
Speaker 5: against I guess the AI Danger company is the ones

1166
00:59:32,080 --> 00:59:34,640
Speaker 5: who are a little bit more reckless Anthropic. Whenever you

1167
00:59:34,840 --> 00:59:37,120
Speaker 5: hear anything the AI world about some of the dangers,

1168
00:59:37,120 --> 00:59:41,040
Speaker 5: it's usually because Anthropic said, hey, look, be careful, like

1169
00:59:41,120 --> 00:59:43,760
Speaker 5: our AI just did this terrible thing, whereas the other

1170
00:59:43,760 --> 00:59:46,200
Speaker 5: Ais do the terrible thing and don't tell you about it.

1171
00:59:46,400 --> 00:59:48,720
Speaker 5: Gotdheimer himself used to work for used to be a

1172
00:59:48,720 --> 00:59:53,480
Speaker 5: Microsoft executive. But there's also a data center fight going

1173
00:59:53,480 --> 00:59:55,600
Speaker 5: on in North Carolina. So can you tell us first

1174
00:59:55,600 --> 01:00:00,720
Speaker 5: about about that. Who was trying to put this data

1175
01:00:00,760 --> 01:00:02,880
Speaker 5: center in the district? What is the status of it,

1176
01:00:02,960 --> 01:00:07,320
Speaker 5: and how relevant and how kind of resonant of an

1177
01:00:07,320 --> 01:00:10,560
Speaker 5: issue is this right now in the district for for

1178
01:00:10,680 --> 01:00:13,080
Speaker 5: your voters, both the county commission level but also in

1179
01:00:13,160 --> 01:00:14,000
Speaker 5: this in this race.

1180
01:00:14,880 --> 01:00:17,840
Speaker 12: Yeah, absolutely, And before I answered that, and also just

1181
01:00:17,840 --> 01:00:21,760
Speaker 12: want to note that like Anthropic is also known for

1182
01:00:22,000 --> 01:00:26,800
Speaker 12: its collaboration with Pallenteer and government contracts with Ice CVP

1183
01:00:27,360 --> 01:00:31,480
Speaker 12: and even in the United States legal evasion invasion into Venezuela,

1184
01:00:32,040 --> 01:00:34,280
Speaker 12: it was ptychology that was used.

1185
01:00:35,560 --> 01:00:40,160
Speaker 5: Right, And they they recently asked a question to the

1186
01:00:40,200 --> 01:00:44,160
Speaker 5: Pentagon about whether or not there UH technology was used

1187
01:00:44,200 --> 01:00:45,880
Speaker 5: in appeers as peer as it was in the in

1188
01:00:45,920 --> 01:00:50,560
Speaker 5: the kidnapping of Maduro, and they hinted that they they

1189
01:00:50,560 --> 01:00:52,520
Speaker 5: don't like that. And now the Pentagon is saying that

1190
01:00:52,560 --> 01:00:56,680
Speaker 5: they might call Anthropic a supply chain risk and not

1191
01:00:56,760 --> 01:00:59,720
Speaker 5: allow it to be used because Anthropic is saying, we

1192
01:00:59,760 --> 01:01:03,560
Speaker 5: don't want our technology be used for autonomous weaponized drones.

1193
01:01:04,840 --> 01:01:08,320
Speaker 5: But but they had they're already partners with Palenteer, which

1194
01:01:08,360 --> 01:01:12,160
Speaker 5: is one of the most m it's the whatever word

1195
01:01:12,200 --> 01:01:15,240
Speaker 5: you want to use for what Palenteer does. So it's

1196
01:01:15,320 --> 01:01:18,600
Speaker 5: kind of late to be drawing lines perhaps, but maybe

1197
01:01:18,680 --> 01:01:22,080
Speaker 5: they're saying it's not anyway exactly so they're the closest Palenteer.

1198
01:01:22,200 --> 01:01:24,360
Speaker 5: But go ahead. There's so much background here that we

1199
01:01:24,440 --> 01:01:25,080
Speaker 5: have to unpacked.

1200
01:01:25,480 --> 01:01:28,840
Speaker 12: And also the fact that two members of this AI

1201
01:01:28,960 --> 01:01:32,440
Speaker 12: task force that was just created in December and it

1202
01:01:32,600 --> 01:01:34,800
Speaker 12: was in Fushi was appointed like literally right at the

1203
01:01:34,800 --> 01:01:36,480
Speaker 12: same time that we launched our campaign.

1204
01:01:37,960 --> 01:01:40,640
Speaker 5: And now that is very interesting. Was it before or after?

1205
01:01:41,600 --> 01:01:44,320
Speaker 12: I think it was like a day or two before, right, but.

1206
01:01:44,320 --> 01:01:47,080
Speaker 5: People knew you were running, yeah at that point. So

1207
01:01:47,120 --> 01:01:50,720
Speaker 5: that's and we just to tell people why that's it.

1208
01:01:50,960 --> 01:01:53,080
Speaker 5: Just to tell people why that's interesting. The reason people

1209
01:01:53,120 --> 01:01:56,240
Speaker 5: often get put on these committees is because they're in

1210
01:01:56,280 --> 01:01:59,600
Speaker 5: need of fundraising help. And if you put them, say

1211
01:01:59,600 --> 01:02:02,680
Speaker 5: on the Financial Services Committee, then banks and hedge funds

1212
01:02:02,680 --> 01:02:04,560
Speaker 5: and privately they're going to shower them with money. So

1213
01:02:04,560 --> 01:02:08,320
Speaker 5: they always put the vulnerable freshmen and sophomores kind of

1214
01:02:08,320 --> 01:02:11,440
Speaker 5: on that committee. You put somebody on the task force

1215
01:02:11,880 --> 01:02:14,760
Speaker 5: that they become a magnet then for AI money. So

1216
01:02:14,760 --> 01:02:17,800
Speaker 5: if they're Fushi raised very little of her own money,

1217
01:02:17,800 --> 01:02:20,200
Speaker 5: so if she needed help in a reelection, putting her

1218
01:02:20,200 --> 01:02:22,200
Speaker 5: on this committee would be an excellent way to signal

1219
01:02:22,240 --> 01:02:24,280
Speaker 5: to the AI world you need to come in with

1220
01:02:24,440 --> 01:02:28,480
Speaker 5: hundreds of thousands of dollars and shower her down the stretch.

1221
01:02:29,000 --> 01:02:30,479
Speaker 5: Go ahead. That's interesting time.

1222
01:02:31,160 --> 01:02:34,840
Speaker 12: And like this lobby and this super pack, jobs and

1223
01:02:34,880 --> 01:02:40,360
Speaker 12: democracy were truly about regulation and protecting the individual consumer,

1224
01:02:40,440 --> 01:02:44,320
Speaker 12: an individual person from the dangers of AI, then why

1225
01:02:44,360 --> 01:02:47,400
Speaker 12: would they not be supporting the candidate in this race myself,

1226
01:02:47,680 --> 01:02:52,080
Speaker 12: who has actually been clear about my stance on national

1227
01:02:52,080 --> 01:02:55,480
Speaker 12: moratorium on AI data centers until we have proper regulations

1228
01:02:55,480 --> 01:02:58,600
Speaker 12: in place so that we don't have this uncontrolled growth

1229
01:02:59,120 --> 01:03:04,120
Speaker 12: that's only benefit tech billionaire's bottom line at the expense

1230
01:03:04,160 --> 01:03:06,360
Speaker 12: of our residents. And like you mentioned, there's one in

1231
01:03:06,400 --> 01:03:09,720
Speaker 12: this district itself in Apex that is being considered and

1232
01:03:09,760 --> 01:03:13,480
Speaker 12: brought forward to the Apex Town Council, and we don't

1233
01:03:13,520 --> 01:03:16,440
Speaker 12: even know which company, which tech company it is, that

1234
01:03:16,600 --> 01:03:19,200
Speaker 12: is going to be running this. The way that they

1235
01:03:19,240 --> 01:03:21,960
Speaker 12: come in is that they have this other company name

1236
01:03:22,560 --> 01:03:25,960
Speaker 12: as the Dipper, and then they try to get their permits,

1237
01:03:26,000 --> 01:03:29,080
Speaker 12: start to get the approvals everything, and then after it's built,

1238
01:03:30,000 --> 01:03:32,360
Speaker 12: the tech company, the tech giant comes in because they

1239
01:03:32,400 --> 01:03:35,440
Speaker 12: know it's going to be a lot harder for you know,

1240
01:03:35,600 --> 01:03:38,680
Speaker 12: Meta Google to be coming in and saying like, hey,

1241
01:03:38,680 --> 01:03:41,000
Speaker 12: we're going to have this massive data center that's gonna

1242
01:03:41,000 --> 01:03:44,640
Speaker 12: be the size of like multiple super walmarts coming into

1243
01:03:44,680 --> 01:03:50,720
Speaker 12: your backyard. And residents are terrified. They're coming out and

1244
01:03:50,720 --> 01:03:53,360
Speaker 12: they're speaking up against it. They're saying they don't want

1245
01:03:53,360 --> 01:03:56,760
Speaker 12: this in their backyard. And for our current representative to

1246
01:03:56,840 --> 01:04:00,720
Speaker 12: ignore those voices and in a response, take hundreds of

1247
01:04:00,760 --> 01:04:04,400
Speaker 12: thousands of dollars from the very same industry that her

1248
01:04:04,480 --> 01:04:10,560
Speaker 12: constituents and residents are rallying against. Is extremely disappointing to them.

1249
01:04:10,600 --> 01:04:14,280
Speaker 12: And we see residents across the district concerned about multiple

1250
01:04:14,320 --> 01:04:17,480
Speaker 12: factors of this data center. We're being told by Meta

1251
01:04:17,560 --> 01:04:19,880
Speaker 12: that's spending millions of dollars to convince us that these

1252
01:04:20,080 --> 01:04:22,480
Speaker 12: AI data centers are going to create jobs. We know

1253
01:04:22,600 --> 01:04:26,200
Speaker 12: that's false. AI is killing thousands of jobs across the country.

1254
01:04:26,560 --> 01:04:29,720
Speaker 12: We're seeing the amount of water usage. They're spending millions

1255
01:04:29,720 --> 01:04:32,439
Speaker 12: of gallons of water every single year, every single day,

1256
01:04:32,960 --> 01:04:36,760
Speaker 12: not every single day, to cool these systems. And then

1257
01:04:37,000 --> 01:04:42,240
Speaker 12: Duke Energy is already renegotiating and hiking up our electricity

1258
01:04:42,280 --> 01:04:47,480
Speaker 12: prices as consumers, as residents to accommodate the infrastructure needs

1259
01:04:47,520 --> 01:04:51,280
Speaker 12: and capacity for these data centers. Why are those costs?

1260
01:04:51,320 --> 01:04:53,400
Speaker 12: Why are residents having to pay an AI tax?

1261
01:04:53,920 --> 01:04:57,720
Speaker 5: You're a week away from the election, basically, and at

1262
01:04:57,800 --> 01:04:59,840
Speaker 5: least seven hundred thousand is coming from the AI company

1263
01:05:00,200 --> 01:05:02,040
Speaker 5: some other super PACs we can talk about in a moment.

1264
01:05:02,560 --> 01:05:05,000
Speaker 5: Throwing down again, it's like a repeat of twenty twenty Two,

1265
01:05:06,120 --> 01:05:09,080
Speaker 5: how do you get the messages that I've seen so

1266
01:05:09,160 --> 01:05:12,640
Speaker 5: far from this AI super pac are not in the

1267
01:05:12,680 --> 01:05:16,160
Speaker 5: democratic line of like, hey, here's why it would be

1268
01:05:16,200 --> 01:05:18,800
Speaker 5: good if we have a data center here, and here's

1269
01:05:18,800 --> 01:05:23,280
Speaker 5: why we need good regulations and federal regulations on a

1270
01:05:23,280 --> 01:05:26,000
Speaker 5: AI and this is why Valerie Fushi is good for

1271
01:05:26,600 --> 01:05:28,520
Speaker 5: us and good for you. Like that would be one

1272
01:05:28,560 --> 01:05:30,360
Speaker 5: thing if they were making the case on behalf of

1273
01:05:30,400 --> 01:05:33,440
Speaker 5: their own industry. They're actually the ads just seem to

1274
01:05:33,480 --> 01:05:36,880
Speaker 5: be saying nice things about Valerie Fushi so far. They

1275
01:05:37,160 --> 01:05:39,200
Speaker 5: doesn't seem like they've gone negative on you, but they're saying,

1276
01:05:39,560 --> 01:05:41,360
Speaker 5: vote for Valerie Fushi because she's a good you know,

1277
01:05:41,440 --> 01:05:43,160
Speaker 5: she'll be a good member of Congress, just kind of

1278
01:05:43,440 --> 01:05:46,200
Speaker 5: raising her popularity and her name identification and not but

1279
01:05:46,280 --> 01:05:50,040
Speaker 5: not telling you that it's an AI company, an AI

1280
01:05:50,080 --> 01:05:53,680
Speaker 5: coalition that is behind her. So, how how are you

1281
01:05:53,840 --> 01:05:57,880
Speaker 5: doing in getting the message out to people that says

1282
01:05:57,920 --> 01:05:59,280
Speaker 5: and how do you do this as a candidate in

1283
01:05:59,320 --> 01:06:02,840
Speaker 5: this era that says, okay, this is AI money, like

1284
01:06:02,920 --> 01:06:05,600
Speaker 5: this is like whatever they're saying is that's nice and interesting,

1285
01:06:05,640 --> 01:06:08,840
Speaker 5: but they have their own agenda and interests. Here are

1286
01:06:08,880 --> 01:06:12,320
Speaker 5: you able to get that message out. Are people following

1287
01:06:12,320 --> 01:06:15,400
Speaker 5: the race close enough that they're picking up what the

1288
01:06:15,400 --> 01:06:17,520
Speaker 5: AI Coalition is kind of putting down here.

1289
01:06:18,160 --> 01:06:20,760
Speaker 12: Absolutely, and we see this happening in with super pac

1290
01:06:20,800 --> 01:06:23,440
Speaker 12: spending all across the country, is that they never actually

1291
01:06:23,520 --> 01:06:26,240
Speaker 12: run their ads on the issue that they're lobbying for

1292
01:06:26,400 --> 01:06:30,040
Speaker 12: because they know that their issue is unpopular with the

1293
01:06:30,080 --> 01:06:32,800
Speaker 12: average person. We saw this in twenty twenty two with

1294
01:06:33,160 --> 01:06:37,400
Speaker 12: APAC and DMFI. They didn't run any ads about Israel

1295
01:06:37,480 --> 01:06:41,520
Speaker 12: or Palestine because they know that this is not kitchen

1296
01:06:41,520 --> 01:06:44,439
Speaker 12: table issues that folks are like, yeah, we want more

1297
01:06:44,480 --> 01:06:47,520
Speaker 12: taxpayer dollars to be going to fund war, just like

1298
01:06:47,680 --> 01:06:50,720
Speaker 12: residents now are not going to say, yes, we want

1299
01:06:51,320 --> 01:06:54,560
Speaker 12: to pay an AI tax to support these data centers.

1300
01:06:55,160 --> 01:06:58,400
Speaker 12: So they have to put messaging out there to just

1301
01:06:58,480 --> 01:07:01,280
Speaker 12: promote candidates that they know are going to be softer

1302
01:07:01,360 --> 01:07:04,360
Speaker 12: and easier on them or be supportive of their causes,

1303
01:07:04,400 --> 01:07:07,040
Speaker 12: even though it's against what their residents want. And the

1304
01:07:07,080 --> 01:07:09,560
Speaker 12: way that we're counteracting this is by we had a

1305
01:07:09,560 --> 01:07:12,960
Speaker 12: press conference on Saturday to call it out, and we

1306
01:07:13,000 --> 01:07:15,920
Speaker 12: actually had one of the leaders of the community members

1307
01:07:15,920 --> 01:07:19,400
Speaker 12: at APEX who came out and spoke at the press conference,

1308
01:07:19,480 --> 01:07:23,080
Speaker 12: and because there were over three hundred residents of Way

1309
01:07:23,120 --> 01:07:26,040
Speaker 12: County that's signed onto a letter calling on all us

1310
01:07:26,080 --> 01:07:32,000
Speaker 12: candidates in this district, Republican, Democrat, libertarian, everyone to take

1311
01:07:32,000 --> 01:07:34,360
Speaker 12: a pledge to not accept money from the AI lobby.

1312
01:07:35,080 --> 01:07:36,920
Speaker 12: And I'm the only candidate in this race that has

1313
01:07:36,960 --> 01:07:40,400
Speaker 12: taken that pledge. And in response to over three hundred

1314
01:07:40,400 --> 01:07:45,600
Speaker 12: residents or Representative Fushi's response has been, Hey, I'm going

1315
01:07:45,640 --> 01:07:48,240
Speaker 12: to take hundreds of thousands of dollars for them. And

1316
01:07:48,840 --> 01:07:52,280
Speaker 12: they said very clearly at the press conference. She said,

1317
01:07:53,160 --> 01:07:54,880
Speaker 12: if you take this money, we are not going to

1318
01:07:54,920 --> 01:07:59,600
Speaker 12: forget and residents even if you know hopefully she doesn't,

1319
01:07:59,640 --> 01:08:02,360
Speaker 12: but isn't it who she is victorious in this election

1320
01:08:03,400 --> 01:08:07,480
Speaker 12: her residence. She is not listening to them. She is

1321
01:08:07,520 --> 01:08:09,920
Speaker 12: going completely against what they are asking for right now.

1322
01:08:09,960 --> 01:08:12,320
Speaker 12: And so we are messaging making sure that residents know

1323
01:08:13,000 --> 01:08:15,160
Speaker 12: how this AI data center is going to impact them,

1324
01:08:15,520 --> 01:08:18,280
Speaker 12: what the AI tax means, how moratorium is going to

1325
01:08:18,360 --> 01:08:21,759
Speaker 12: help make sure that there's proper regulations put in place

1326
01:08:21,840 --> 01:08:22,519
Speaker 12: on big tech.

1327
01:08:23,000 --> 01:08:23,360
Speaker 7: And so.

1328
01:08:25,200 --> 01:08:28,400
Speaker 5: You have a fairly engaged district if you know right,

1329
01:08:28,439 --> 01:08:29,680
Speaker 5: I mean, you got a lot of people who are

1330
01:08:29,720 --> 01:08:32,840
Speaker 5: paying close attention, so maybe maybe it will get out,

1331
01:08:32,880 --> 01:08:37,080
Speaker 5: like maybe people are engaged enough. Last night, President Trump

1332
01:08:37,160 --> 01:08:39,360
Speaker 5: raised the salience of the issue again. He talked about

1333
01:08:39,360 --> 01:08:42,200
Speaker 5: this in the in the State of the Union. He

1334
01:08:42,280 --> 01:08:44,680
Speaker 5: seems to recognize the political peril that he's in with

1335
01:08:45,120 --> 01:08:47,880
Speaker 5: the amount of money that he's shoveled at AI and

1336
01:08:48,240 --> 01:08:50,760
Speaker 5: the backlash to the data centers, and he said, I

1337
01:08:50,800 --> 01:08:53,360
Speaker 5: promise you from now on, you know, these data centers

1338
01:08:53,360 --> 01:08:55,439
Speaker 5: are going to produce their own power. But to me,

1339
01:08:56,320 --> 01:08:59,519
Speaker 5: if you're in a rural area and somebody tells you, hey,

1340
01:08:59,520 --> 01:09:02,639
Speaker 5: there's gonna put this gigantic data center in your backyard,

1341
01:09:02,800 --> 01:09:05,040
Speaker 5: be like, I don't know about that. And you say, oh,

1342
01:09:05,040 --> 01:09:07,080
Speaker 5: well wait, we're gonna make it even better. We're gonna

1343
01:09:07,080 --> 01:09:12,240
Speaker 5: put a power plant right next to it. Like oh,

1344
01:09:12,280 --> 01:09:15,639
Speaker 5: I mean, okay, I'm glad that I'm that doesn't sound better.

1345
01:09:15,680 --> 01:09:19,439
Speaker 5: I don't want a power plant also, uh so, And they're.

1346
01:09:19,360 --> 01:09:22,880
Speaker 12: Using like these centers are using these backup diesel generators

1347
01:09:23,400 --> 01:09:26,479
Speaker 12: that are emitting toxic fumes that are polluting our water

1348
01:09:26,640 --> 01:09:29,840
Speaker 12: and airways. And they're happening not just in rural communities.

1349
01:09:30,280 --> 01:09:33,000
Speaker 12: The one in Apex is like literally in the backyard

1350
01:09:33,360 --> 01:09:37,080
Speaker 12: of our residents. So they are family members that they're

1351
01:09:37,360 --> 01:09:39,920
Speaker 12: scared of, how it's going to impact the air quality

1352
01:09:39,920 --> 01:09:42,080
Speaker 12: for their children, how it can to impact the water

1353
01:09:42,240 --> 01:09:45,240
Speaker 12: quality that is coming into their taps.

1354
01:09:45,560 --> 01:09:49,759
Speaker 5: And so so what about APAC so valary foods she's

1355
01:09:50,000 --> 01:09:54,160
Speaker 5: she after getting that two plus million dollars had been

1356
01:09:54,200 --> 01:09:58,400
Speaker 5: has been critical of Israel. She she endorsed the back

1357
01:09:58,439 --> 01:10:01,400
Speaker 5: of the bombs to which is the Progressive Caucus has

1358
01:10:01,400 --> 01:10:04,720
Speaker 5: built that still allows significant amount of weapons to go

1359
01:10:05,400 --> 01:10:08,280
Speaker 5: to Israel, but does block did I say back the bounds,

1360
01:10:08,320 --> 01:10:10,720
Speaker 5: block the bombs until it does block you know, some

1361
01:10:10,760 --> 01:10:13,160
Speaker 5: weapons and is something of a red line for APAC

1362
01:10:13,280 --> 01:10:16,240
Speaker 5: like your a pack is not somebody who comes in

1363
01:10:16,320 --> 01:10:19,280
Speaker 5: and is okay with some nuance on the question. Like

1364
01:10:19,560 --> 01:10:22,680
Speaker 5: they say they want unconditional aid and they mean it,

1365
01:10:22,720 --> 01:10:25,519
Speaker 5: and if you don't support unconditional aid, they'll come after you.

1366
01:10:25,520 --> 01:10:28,200
Speaker 5: Tom Malinowski for a member of Congress who said there

1367
01:10:28,200 --> 01:10:31,839
Speaker 5: should be some modest conditions on some aid, some military

1368
01:10:31,880 --> 01:10:35,160
Speaker 5: aid Israel. They spent millions of dollars in New Jersey

1369
01:10:35,160 --> 01:10:41,160
Speaker 5: against him and accidentally or perhaps elected a progressive Lilia

1370
01:10:41,240 --> 01:10:44,000
Speaker 5: Mahea instead. It seems like that same super pac is

1371
01:10:44,439 --> 01:10:48,679
Speaker 5: interested in your race. Now, what is there enough time

1372
01:10:48,720 --> 01:10:51,320
Speaker 5: for them to you know, impact the race? And what

1373
01:10:51,360 --> 01:10:53,719
Speaker 5: are you seeing from this shadowy superpack.

1374
01:10:55,000 --> 01:10:57,240
Speaker 12: Now we're seeing that, you know, money is starting to

1375
01:10:57,320 --> 01:11:00,200
Speaker 12: drop in at the last minute, and it's showing what

1376
01:11:00,240 --> 01:11:02,800
Speaker 12: we've known is that this race is going to be

1377
01:11:02,880 --> 01:11:06,080
Speaker 12: very close, and quite frankly, the establishment in the status

1378
01:11:06,120 --> 01:11:09,479
Speaker 12: quo is scared because they see that the electorate is

1379
01:11:09,520 --> 01:11:13,559
Speaker 12: sick and tired of being told to wait for change,

1380
01:11:13,640 --> 01:11:16,559
Speaker 12: to wait for relief. They're sick and tired of their

1381
01:11:16,560 --> 01:11:19,840
Speaker 12: tax payer dollars being used to fundel endless wars, to

1382
01:11:19,920 --> 01:11:23,320
Speaker 12: have to pay an AI tax. This district is working families,

1383
01:11:23,360 --> 01:11:26,519
Speaker 12: just like a majority, fast vast majority of this country is.

1384
01:11:27,120 --> 01:11:29,240
Speaker 12: And so these super PACs are dumping in the last

1385
01:11:29,280 --> 01:11:33,639
Speaker 12: minute money because it's a desperate hail Mary to try

1386
01:11:33,680 --> 01:11:38,000
Speaker 12: to save this seat for the establishment. And we're countering

1387
01:11:38,040 --> 01:11:41,360
Speaker 12: that by making sure that you know, people know who

1388
01:11:41,439 --> 01:11:44,040
Speaker 12: is behind this money that is coming in, making sure

1389
01:11:44,080 --> 01:11:46,320
Speaker 12: that folks know that the only reason this money is

1390
01:11:46,320 --> 01:11:51,080
Speaker 12: coming in is because they're scared of us, as working families,

1391
01:11:51,400 --> 01:11:55,880
Speaker 12: as individuals, stepping up and having our voices be heard

1392
01:11:55,920 --> 01:11:59,400
Speaker 12: and taking on these corporate interests and taking on the

1393
01:11:59,439 --> 01:12:04,479
Speaker 12: big tech, the war machine. And unfortunately we're seeing the

1394
01:12:04,520 --> 01:12:07,880
Speaker 12: same entities and the shady tactics that were used in

1395
01:12:08,000 --> 01:12:11,960
Speaker 12: New Jersey. They were they're being used in Illinois coming

1396
01:12:12,040 --> 01:12:15,360
Speaker 12: into this district, the safest blue seat in North Carolina.

1397
01:12:16,360 --> 01:12:18,960
Speaker 5: And are they going negative on you or are they

1398
01:12:19,040 --> 01:12:23,200
Speaker 5: boosting Valerie? At this point that the New Jersey apac

1399
01:12:23,400 --> 01:12:24,800
Speaker 5: looking superpack.

1400
01:12:25,040 --> 01:12:28,280
Speaker 12: So none of the packs have gone negative on me. Unfortunately.

1401
01:12:28,600 --> 01:12:32,240
Speaker 12: Representative Fushie herself, her campaign ran a negative attack ad

1402
01:12:32,320 --> 01:12:35,160
Speaker 12: yesterday that we had to actually issue our own cease

1403
01:12:35,160 --> 01:12:36,639
Speaker 12: and desist, and they took.

1404
01:12:36,439 --> 01:12:38,320
Speaker 5: It down, which is extremely unusual.

1405
01:12:38,800 --> 01:12:42,000
Speaker 12: Yes, CBS seventeen took it down. I don't believe the other.

1406
01:12:42,120 --> 01:12:43,720
Speaker 12: I'm not sure if the other stations have taken it

1407
01:12:43,760 --> 01:12:48,040
Speaker 12: down yet. The Representative Fushie still has her messaging false

1408
01:12:48,040 --> 01:12:52,360
Speaker 12: messaging attacking me on her website as last time I

1409
01:12:52,439 --> 01:12:54,280
Speaker 12: checked it, and they.

1410
01:12:54,240 --> 01:12:56,200
Speaker 5: Are the weird false message, the false message which was

1411
01:12:56,240 --> 01:12:59,760
Speaker 5: claiming you didn't file a financial disclosure when you did so.

1412
01:12:59,840 --> 01:13:02,160
Speaker 5: It's like it's a strange.

1413
01:13:02,280 --> 01:13:05,200
Speaker 12: It's also it goes to know that there's not much

1414
01:13:05,200 --> 01:13:08,120
Speaker 12: that they can or anything they can use against me.

1415
01:13:08,120 --> 01:13:10,120
Speaker 5: And she can do her paperwork properly. Oh oh wait,

1416
01:13:10,240 --> 01:13:11,000
Speaker 5: actually she did.

1417
01:13:11,360 --> 01:13:14,799
Speaker 12: Yeah, And if you look at my paperwork. What's terrifying

1418
01:13:14,800 --> 01:13:17,679
Speaker 12: about it is something that's terrifying to all residents. It's

1419
01:13:17,720 --> 01:13:21,160
Speaker 12: full of student debt. And that's what most people in

1420
01:13:21,200 --> 01:13:23,719
Speaker 12: this country are dealing with. And if you are looking

1421
01:13:23,760 --> 01:13:26,479
Speaker 12: at my generation in the next we are more likely

1422
01:13:26,600 --> 01:13:28,240
Speaker 12: to be living with student debt for the rest of

1423
01:13:28,240 --> 01:13:30,439
Speaker 12: our lives than we are to be able to have

1424
01:13:30,479 --> 01:13:34,000
Speaker 12: a mortgage, to be able to achieve the American dream

1425
01:13:34,040 --> 01:13:36,000
Speaker 12: that we were raised was possible.

1426
01:13:35,680 --> 01:13:40,760
Speaker 5: For us, especially Durham, I would suspect now on the

1427
01:13:40,760 --> 01:13:43,519
Speaker 5: flip side, what makes this race unusual is that you

1428
01:13:43,600 --> 01:13:49,760
Speaker 5: have a shadowy superpack that launched on your side. It

1429
01:13:49,800 --> 01:13:51,920
Speaker 5: appears from the reporting I've been able to do that

1430
01:13:52,200 --> 01:13:56,120
Speaker 5: this is a kind of Bernie Sanders adjacent not from

1431
01:13:56,160 --> 01:13:59,400
Speaker 5: Bernie Sanders himself, but people in the Bernie Sanders kind

1432
01:13:59,400 --> 01:14:02,519
Speaker 5: of aoc of the party have raised, you know, millions

1433
01:14:02,560 --> 01:14:04,400
Speaker 5: of dollars to do their own super packs to come

1434
01:14:04,479 --> 01:14:06,720
Speaker 5: in and try to defend people who are getting hit

1435
01:14:06,800 --> 01:14:09,920
Speaker 5: by super PACs from the other direction. The last I

1436
01:14:09,960 --> 01:14:13,840
Speaker 5: saw that they had spent half a million or were

1437
01:14:13,880 --> 01:14:15,360
Speaker 5: planning to spend half a million in the race. I

1438
01:14:15,360 --> 01:14:17,280
Speaker 5: don't know if they've they've come in with any more

1439
01:14:17,760 --> 01:14:20,160
Speaker 5: since then, But is that is that help?

1440
01:14:20,600 --> 01:14:20,920
Speaker 6: Have you?

1441
01:14:21,080 --> 01:14:22,640
Speaker 5: Have you gotten much of a word on who is

1442
01:14:22,680 --> 01:14:26,160
Speaker 5: that who? That is what they want? And is it

1443
01:14:26,200 --> 01:14:29,120
Speaker 5: having an effect on the ground. Are you noticing that

1444
01:14:29,200 --> 01:14:32,479
Speaker 5: having that cavalry come in and defend you on the

1445
01:14:32,479 --> 01:14:35,599
Speaker 5: other side is changing people's understanding of the race?

1446
01:14:36,840 --> 01:14:40,040
Speaker 12: Yeah, I mean, I don't know who the individual numbers

1447
01:14:40,080 --> 01:14:43,679
Speaker 12: are since we don't collaborate with these i e. Groups,

1448
01:14:44,120 --> 01:14:46,479
Speaker 12: But I've seen the same reporting that you have that

1449
01:14:46,520 --> 01:14:48,600
Speaker 12: they release. I believe it was like last Thursday that

1450
01:14:48,760 --> 01:14:50,840
Speaker 12: said that these were individuals who were coming up and

1451
01:14:51,200 --> 01:14:56,879
Speaker 12: supporting candidates who are against endless funding of wars, who

1452
01:14:56,920 --> 01:14:58,720
Speaker 12: stand up and want to take a stance because they're

1453
01:14:58,720 --> 01:15:03,160
Speaker 12: sick and tired of seeing corporation and writing, specially enterst

1454
01:15:03,200 --> 01:15:08,200
Speaker 12: groups like APAC buying seats and electing people who are

1455
01:15:08,240 --> 01:15:11,639
Speaker 12: just going to be yes men for war and corporate

1456
01:15:11,680 --> 01:15:15,400
Speaker 12: tax breaks and cuts instead of for the average working people.

1457
01:15:16,439 --> 01:15:19,400
Speaker 12: So and these are groups and donors who, from what

1458
01:15:19,439 --> 01:15:23,240
Speaker 12: I've seen from the reporting, have supported progressive candidates all

1459
01:15:23,240 --> 01:15:27,080
Speaker 12: across the country. And you know, I'm grateful for the

1460
01:15:27,160 --> 01:15:30,639
Speaker 12: organizations like Justice Democrats, Working Families, Party leaders, we deserve

1461
01:15:30,800 --> 01:15:34,080
Speaker 12: Sunrise Movement who have been leading the charge and lifting

1462
01:15:34,200 --> 01:15:38,559
Speaker 12: up progressive voices. And it's sad that we unfortunately live

1463
01:15:38,560 --> 01:15:41,479
Speaker 12: in this political system that endless amounts of money have

1464
01:15:41,520 --> 01:15:44,679
Speaker 12: to be spent. And it's sad that in the safest

1465
01:15:44,680 --> 01:15:48,360
Speaker 12: blue seat, our representative is taking money from the same

1466
01:15:48,439 --> 01:15:52,160
Speaker 12: folks who fund Trump. You know where she's running this

1467
01:15:52,240 --> 01:15:53,960
Speaker 12: campaign saying that she's going to take on Trump and

1468
01:15:54,000 --> 01:15:56,800
Speaker 12: his authoritarianism. How are you going to do that when

1469
01:15:56,840 --> 01:15:59,160
Speaker 12: you're accepting and cashing checks from the very same people

1470
01:15:59,160 --> 01:16:01,600
Speaker 12: who put them into office. If we truly want to

1471
01:16:01,640 --> 01:16:04,920
Speaker 12: hold Trump accountable, then we need to hold the corporations

1472
01:16:05,040 --> 01:16:07,360
Speaker 12: and these right wing billionaires and these I mean special

1473
01:16:07,360 --> 01:16:10,280
Speaker 12: interest groups that put them into office accountable and get

1474
01:16:10,320 --> 01:16:12,479
Speaker 12: them out of our political systems, because as long as

1475
01:16:12,520 --> 01:16:15,519
Speaker 12: they have us and our US government in a chokehold,

1476
01:16:17,160 --> 01:16:19,920
Speaker 12: Trump is not going to be the end of our nightmare.

1477
01:16:20,960 --> 01:16:23,040
Speaker 12: That's just the first step for them, all right.

1478
01:16:23,040 --> 01:16:25,719
Speaker 5: Well, Nitta Lam County Commissioner running in North Carolina's fourth

1479
01:16:25,760 --> 01:16:29,479
Speaker 5: district of mail and voting has already started. The election

1480
01:16:29,560 --> 01:16:34,160
Speaker 5: will be next tuesdays at March first, at March fourth third.

1481
01:16:33,960 --> 01:16:37,400
Speaker 12: So early voting and Saturday on the twenty eighth, and

1482
01:16:37,439 --> 01:16:39,360
Speaker 12: then election day is on March third.

1483
01:16:40,120 --> 01:16:43,880
Speaker 5: All right, well we'll be following this and we'll be

1484
01:16:43,920 --> 01:16:47,200
Speaker 5: back in touch on election the other day after. But

1485
01:16:47,240 --> 01:16:49,160
Speaker 5: thank you so much for joining us.

1486
01:16:49,640 --> 01:16:50,280
Speaker 12: I appreciate it.

1487
01:16:50,360 --> 01:16:52,479
Speaker 8: Right, all right, that does it for us.

1488
01:16:52,920 --> 01:16:55,200
Speaker 2: We will be back tomorrow for I think it's going

1489
01:16:55,280 --> 01:16:57,720
Speaker 2: to be yet another comedy takeover tomorrow because Emily is

1490
01:16:57,800 --> 01:16:59,600
Speaker 2: unavailable with Sager is unavailable.

1491
01:16:59,720 --> 01:17:02,920
Speaker 8: So prepare yourselves, comrades.

1492
01:17:02,560 --> 01:17:05,120
Speaker 5: People, people come here for both sides. You're going to

1493
01:17:05,160 --> 01:17:08,599
Speaker 5: get the Bolshevik side and the Menshevik side, and we're

1494
01:17:08,640 --> 01:17:10,360
Speaker 5: gonna be You're gonna be totally fair.

1495
01:17:10,640 --> 01:17:13,800
Speaker 2: Yeah, all right, guys, have a great day.

1496
01:17:13,800 --> 01:17:25,880
Speaker 8: We'll see you then, kay,