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

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Speaker 2: Independent media just played a truly massive role in this election,

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Speaker 1: dot com.

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Speaker 2: Good morning, everybody, Welcome to Breaking Points.

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Speaker 3: Sager is out.

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Speaker 2: I don't know if I can disclose the reason that

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Speaker 2: he's out.

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Speaker 3: We can, oh, we can need just a message.

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Speaker 2: Well, he just respond So he's recording with Tucker right

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Speaker 2: now in Maine, reacting actually to the interview that Tucker

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Speaker 2: just dropped with the President of Iran. So Sager will

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Speaker 2: be back on Wednesday. So we've got the wonderful and

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Speaker 2: brilliant Emily Tchishinski in today for Sager.

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Speaker 4: You're welcome everyone, No, I'm excited to hear all about

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Speaker 4: Sagers first. So I'm excited to listen to Sager's conversation

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Speaker 4: with Tucker and to hear all about what went on.

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Speaker 2: Yeah, indeed, And I'm going to try to get doctor

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Speaker 2: Parcion also to react to that interview once we've had

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Speaker 2: a chance to review it. But that certainly will be

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Speaker 2: in the show tomorrow a lot in the show today.

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Speaker 2: The death toll continues to rise after those horrific floods

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Speaker 2: in Texas, So we'll tell you the latest there, show

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Speaker 2: you some of the truly horrifying images and also all

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Speaker 2: of the questions over whether the response was impacted and

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Speaker 2: the death toll increased by those cuts made by Doge

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Speaker 2: at the beginning of this administration. Speaking of Elon, he

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Speaker 2: is officially launching the America Party, or at least he.

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Speaker 3: Says that he is. What will that mean politically?

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Speaker 2: We also have this is sort of an Elon linked

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Speaker 2: story as well. Trump says Emily there is no Epstein conspiracy,

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Speaker 2: the Trump DOJ saying there was no client list. He

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Speaker 2: definitely killed himself releasing some video and a report. We

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Speaker 2: can all just put that to bed. Nothing to see here.

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Speaker 4: We've now had what ten hours of video they released

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Speaker 4: last night. Yeah, so we'll get into it, but basically,

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Speaker 4: this was a Sunday night news dump to Axios for

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Speaker 4: some reason about how they're just fully closing the Epstein investigation. Yes,

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Speaker 4: six months into the Trump presidency. No, no information, everything's fine.

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Speaker 2: Right, No, no conspiracy, it's fine, it's fine. I don't

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Speaker 2: know why Glade Maxwell's in prison. Then if there was

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Speaker 2: no conspiracy, who was she trafficking to?

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Speaker 4: I wish we will. That's not what Trump said a

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Speaker 4: few years ago. Yeah, that's true.

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Speaker 3: Yeah, that's exactly what he said.

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Speaker 2: And it's elon Links of course, because back when they

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Speaker 2: originally had their big blow up, he said Trump is

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Speaker 2: in the Epstein files, and that was sort of like

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Speaker 2: the nuclear bomb. And so now they're feuding again and

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Speaker 2: this is coming out and bb Nan Yahoo is in town, which,

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Speaker 2: by the way, later in the show, we're going to

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Speaker 2: talk to Jeremy Scalhill about the implications the potential for

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Speaker 2: a ceasefire, what's going on with Iran as BBE comes

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Speaker 2: back to town. We're also going to take a look

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Speaker 2: at a couple of media stories. Zoran Mondani being attacked

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Speaker 2: by the New York Times really interesting story.

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Speaker 4: This one fascinating. Yeah, a lot of layers to peel back.

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Speaker 2: There are, indeed, and this is all over the boxes

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Speaker 2: he checked when he was applying to Columbia University School.

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Speaker 2: By the way, he didn't even get into but there's

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Speaker 2: a lot going on there. We also have Tim Dillon

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Speaker 2: and Joe Rogan unhappy with the Trump administration over immigration specifically.

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Speaker 2: Rogan also talking a bit about Gaza, so really interesting

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Speaker 2: always to dig into that. And then Emily and I

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Speaker 2: are going to do an AMA Live.

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Speaker 3: After this show.

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Speaker 2: For those of you who are not premium members, if

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Speaker 2: you want to become premium members and be able to

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Speaker 2: access all of those AMAS Breakingpoints dot com. We so

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Speaker 2: appreciate all of your support. And with that, let's go

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Speaker 2: ahead and jump into the very latest out of Texas,

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Speaker 2: where we can put some of these images of the

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Speaker 2: flooding and the aftermath of the flooding in Texas Hill

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Speaker 2: Country right near San Antonio up on the screen. As

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Speaker 2: of this morning, we know the death toll is at

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Speaker 2: least eighty one. This marks one of the deadliest floods

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Speaker 2: in this country in a century.

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Speaker 3: Now.

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Speaker 2: This is an area where flooding is not a known

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Speaker 2: but the rapidity and the extent of the flooding here

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Speaker 2: was absolutely catastrophic, made worse by the fact that you

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Speaker 2: had a lot of families on vacation in campers near

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Speaker 2: this river, and also tragically a girl's summer camp. You

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Speaker 2: can see here This is a father who is searching

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Speaker 2: amid the debris here for his eight year old daughter,

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Speaker 2: who continues to be missing. We know there are still

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Speaker 2: dozens of people who are unaccounted for, including ten from

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Speaker 2: this camp. I believe those were nine girls and one

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Speaker 2: camp counselor who continue to be missing from that camp.

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Speaker 2: And the death toll here obviously utterly devastating, and made

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Speaker 2: even more so by the fact that so many children

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Speaker 2: were impacted. We're going to get to some of the

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Speaker 2: political questions here, of course, and immediately people to into Hey,

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Speaker 2: you guys, Republican Trump administration, you just cut a bunch

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Speaker 2: of positions at the National Weather Service. You just cut

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Speaker 2: a bunch of positions at these local offices that are

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Speaker 2: not only supposed to handle the weather forecast but also

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Speaker 2: supposed to communicate with the community.

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Speaker 3: Is that part of why this death toll is so high?

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Speaker 2: But before we get to that, Emily just your reaction

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Speaker 2: to the horror coming out of Texas right now.

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Speaker 4: You know, I think, like a lot of people, I

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Speaker 4: spent the weekend basically trying to avoid these stories. The

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Speaker 4: father of the video of the father that we just

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Speaker 4: saw in particulars is still unimaginable. Yeah, that one just

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Speaker 4: stayed with me. We didn't hear it, but the audio

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Speaker 4: he says something to the extent of I know she

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Speaker 4: was here. And the fact that there are still ten

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Speaker 4: girls on accounting for, or ten people on accounted for

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Speaker 4: from the camp. Just thinking about what the families are

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Speaker 4: going through as you're sifting through debris from a flood

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Speaker 4: looking for little girls with the first responders whose job

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Speaker 4: it is to look for these little girls in the floodwaters.

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Speaker 4: Two of them, sisters were found clutching each other in

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Speaker 4: their arms. I mean, this is one of the worst,

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Speaker 4: one of the worst stories I think anyone can remember

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Speaker 4: reading in a long long time or living in a

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Speaker 4: long time.

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Speaker 2: Hopes are fading that they're going to find additional survivors

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Speaker 2: at this point, and the rescuers are concerned also because

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Speaker 2: there's war rain in the forecast, another significant rainfall in

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Speaker 2: the forecast for today, so you know, we are all

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Speaker 2: certainly thinking about those families who are impacted, those families

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Speaker 2: who are still holding out hope that their loved ones

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Speaker 2: will be found. And there was one remarkable rescue story

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Speaker 2: just recently, a young girl I think, who survived clinging

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Speaker 2: to a mattress, so you know, and there have been

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Speaker 2: obviously stories of absolute heroism from the rescuers. I know

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Speaker 2: one in particular rescue like one hundred and fifty girls

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Speaker 2: at this camp, so just absolutely horrific. At the same time,

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Speaker 2: as I said, you know a lot of questions here

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Speaker 2: what went wrong? And there's a lot of layers because

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Speaker 2: first of all, you have the question of, okay, the

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Speaker 2: forecast was wrong. The forecast underestimated the amount of rainfall

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Speaker 2: by about half, and so you're talking about very different

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Speaker 2: scenario when it's six inches of rain, still a lot

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Speaker 2: of rain, versus twelve inches, which is what ultimately fell.

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Speaker 2: You have questions about that, So that would be the

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Speaker 2: National Weather Service. You also have questions about, okay, well,

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Speaker 2: did the right warnings go out at the right time.

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Speaker 2: This was all complicated by the fact that this was

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Speaker 2: unfolding at nights, So of course you have people who

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Speaker 2: are asleep, so it may not necessarily be receiving all

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Speaker 2: of those alerts that are going out. And then the

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Speaker 2: other layer is okay, then you also have in these

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Speaker 2: local offices people whose job it is to communicate with

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Speaker 2: the community and make sure the community is prepared in

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Speaker 2: these events. So was that were those relationships still active?

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Speaker 2: Was that communication happening in the way that it could

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Speaker 2: so that the community community could fully prepare. Texas officials

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Speaker 2: came out pretty hot blasting the National Weather Service for

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Speaker 2: the inability to predict the amount of rainfall that actually

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Speaker 2: fell here. Let's go ahead and take a listen to

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Speaker 2: a little bit of fat.

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Speaker 5: Original forecast that we received on Wednesday from the National

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Speaker 5: Weather Service predicted three to six inches of rain in

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Speaker 5: the Concho Valley and four to eight inches of rain

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Speaker 5: in the Hill country. We worked with our own meteorologists

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Speaker 5: to fine tune that weather statement, and as many of

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Speaker 5: you know, and many of you in broadcast journalism indieurology,

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Speaker 5: you can go back and look at your own forecast,

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Speaker 5: and the amount of rain that fell in this specific

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Speaker 5: location was never in any of those forecasts.

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Speaker 6: This rain event sat on top of that and dumped

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Speaker 6: more rain than what was forecasted on both of those forks.

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Speaker 6: When we got the report, it was about seven feet

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Speaker 6: or so on the South Fork, and within a matter

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Speaker 6: of minutes it was up to twenty nine feet and

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Speaker 6: all of that converged at the Guadalupe and that's where

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Speaker 6: we saw those very quick rise and flood.

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Speaker 5: But listen, everybody got the forecast from the National Weather Service, right,

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Speaker 5: you all got it. You're all in media. You got

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Speaker 5: that forecast. It did not the amount of rain that

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Speaker 5: we saw.

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Speaker 3: So Emily.

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Speaker 2: Look, sometimes weather forecasters sometimes they get it wrong. But

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Speaker 2: you also can't help but look at the fact that

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Speaker 2: the National Weather Service took significant hits from DOGE and

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Speaker 2: asked the question, would they have been better able to

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Speaker 2: estimate the amount of rainfall if they had full capacity here?

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Speaker 2: So what is your you know, what is your reaction

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Speaker 2: to that from these Texas officials, who, by the way,

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Speaker 2: I mean many of these Texas officials are Republicans who

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Speaker 2: supported the cuts. So the blame shifting here is also

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Speaker 2: a little bit rich.

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Speaker 4: Yeah, And in times like this, I always like to

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Speaker 4: go to people in the area who have some like

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Speaker 4: for Matt Lands as a meteorologist, a Texas based meteorologist,

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Speaker 4: and he posted on x in response to the Homeland

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Speaker 4: Security twitter feed. They posted this long thread about twelve

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Speaker 4: hours ago saying the mainstream media is deliberately lying about

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Speaker 4: the events leading up to the catastrophic flooding in Texas.

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Speaker 4: He responds and says the quote MSM isn't lying, They're

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Speaker 4: doing their job by asking completely and crucial questions since

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Speaker 4: the admin has proposed ring out essentially all NA research

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Speaker 4: in the twenty twenty six budget and as fire taken

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Speaker 4: by out some hundreds of NWS and boys in recent months.

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Speaker 4: He though, has an interesting take. He says, while the

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Speaker 4: local NWS office did good work during this event, the

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Speaker 4: reality is that these questions are perfectly valid and reasonable

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Speaker 4: given the circumstances, and yes, the office is still understaffed,

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Speaker 4: if not comparable to worse offices. He expanded on this

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Speaker 4: in a super interesting substack where he has basically complicated

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Speaker 4: meteorological language broken down in a more understandable way about

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Speaker 4: how you had just this. You had such a I

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Speaker 4: don't know, I'm trying to avoid using the first perfect storm,

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Speaker 4: but like, really that's what you had for something between

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Speaker 4: one and four in the morning to escalate like it

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Speaker 4: did in ways that just you can predict. But it's

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Speaker 4: such a when you have an area that's so prone

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Speaker 4: to flooding, you have like eight out of ten times

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Speaker 4: you get a flash flood warning, and sometimes it's bad,

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Speaker 4: but it's never this bad. And so he says, did

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Speaker 4: budget cuts play a role role? No, in this particular case,

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Speaker 4: we have seen absolutely nothing to suggests that current staffing

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Speaker 4: or budget issues with NAA and NW has played any

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Speaker 4: role at all in this event. Then he goes on

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Speaker 4: to say, in fact, weather balloon launchers played a vital

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Speaker 4: role in forecast messaging on Thursday night as the event

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Speaker 4: was beginning to unfold. But he said, use this event

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Speaker 4: as a symbol of the value of NAA and NWS

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Speaker 4: bring to society understanding that it's horrific and as this is, yes,

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Speaker 4: it could have always been worse. So where I find

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Speaker 4: myself as sort of I think the questions are entirely valid,

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Speaker 4: especially because Christal you alluded to this just moments ago.

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Speaker 4: It now seems like where the focus should be is

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Speaker 4: on what happened after the forecasting and as these warnings

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Speaker 4: were starting to hit. It's one in the morning, people

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Speaker 4: are asleep there's summer camps, there are children along the

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Speaker 4: river banks, was the message conveyed in ways that were reasonable.

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Speaker 4: I think these like these are entirely, entirely legitimate questions.

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Speaker 4: So we'll see as this comes out exactly what happened.

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Speaker 4: But when Republicans talk about cutting the administrative state, when

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Speaker 4: people like me talk about cutting the administrative straight administrative state,

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Speaker 4: and events like this happen, you always have to own it.

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Speaker 4: I mean, you'll always have to own it. When it

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Speaker 4: looks like there's a correlation. I don't know. I'm not

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Speaker 4: convinced that there is in this case. And I don't

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Speaker 4: have any particular position on whether the National Weather Service

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Speaker 4: was overstaffed, no idea, but you always end up politically

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Speaker 4: on the hook.

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Speaker 2: Yeah, let's go ahead and put the New York Times

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Speaker 2: up on the specifics regarding those vacancies in the local offices.

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Speaker 2: So they said, as flood's hit key roles were vacant

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Speaker 2: at the weather surface, crucial positions at the local offices

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Speaker 2: in the National Weather Service were unfilled as severe rainfall

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Speaker 2: inundated parts of Central Texas. Their San Angelo office, which

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Speaker 2: is responsible for some of the area's hit hardest by

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Speaker 2: Friday's flooding, they were missing a senior hydrologist, a staff forecaster,

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Speaker 2: and a meteorologist in charge. According to the legislative director

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Speaker 2: for the National Weather Service Employees Organization, that is the

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Speaker 2: union that represents those workers. The nearby San Antonio office,

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Speaker 2: which covers other areas that were hit by the floods,

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Speaker 2: also had significant vacancies, including and this is the one

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Speaker 2: that people have really focused in on, specifically, a warning

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Speaker 2: coordination meteorologist and science officer. THEFF members in those positions

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Speaker 2: are meant to work with local emergency managers to plan

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Speaker 2: for floods, including when and how to warn local residents

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Speaker 2: and help them evacuate. That office's warning coordination meteorologists left

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Speaker 2: on April thirty after taking the early retirement package. So

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Speaker 2: that was the member of the fork in the Road

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Speaker 2: email that went out from Elon from DOJE.

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Speaker 3: So this guy took that offer.

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Speaker 2: They used that offer, of course, to reduce the number

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Speaker 2: of federal employees.

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Speaker 3: Overall, and they did not rehire.

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Speaker 2: Someone, they go on to say, under the Trump administration,

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Speaker 2: so overall, the Weather Service, like other federal agencies, has

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Speaker 2: been pushed to reduce its number of employee.

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Speaker 3: By this spring.

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Speaker 2: Through layoffs and retirements, the Weather Service had lost nearly

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Speaker 2: six hundred people. That's from a workforce that was only

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Speaker 2: four thousand, So six hundred down to four thousand is

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Speaker 2: a very significant cut. And so this individual in particular

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Speaker 2: who took the early retirement package, you know, I watch

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Speaker 2: videos of some of the local meteorologists talking about like,

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Speaker 2: this is the guy we know. This is the guy

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Speaker 2: we're constantly in communication with and talking about, you know,

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Speaker 2: and this is the person that the community knows. So

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Speaker 2: sometimes it is impossible to know what the impact is

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Speaker 2: ultimately of that person's departure, because even if you had

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Speaker 2: filled that slot, you don't have that individual who had

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Speaker 2: all of these relationships over all of those many years

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Speaker 2: and may have known to do something that was not

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Speaker 2: strictly inside of the protocol, but would have been thinking,

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Speaker 2: oh my god, this summer camp.

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Speaker 3: I got to let them know.

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Speaker 2: There's a lot of questions like that that I think

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Speaker 2: will probably forever be unanswered about the actual impact of

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Speaker 2: these cuts. Let's go ahead and put the local reporting

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Speaker 2: the next piece up on the screen here, just to

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Speaker 2: see how quickly this flooding escalated, which is horrifying. You

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Speaker 2: can see this chart here. This is from the Texas Tribune.

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Speaker 2: They say, in a Texas region prone to catastrophic floods,

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Speaker 2: questions grow about the lack of warning. And you can

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Speaker 2: see how quickly and how rapidly this escalated, with the

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Speaker 2: river reaching its peak of thirty six feet in height

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Speaker 2: at seven am on July fourth, leading to absolute devastation

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Speaker 2: and catastrophe. And so you know, Texas Tribune is not

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Speaker 2: just the New York Times and national outlets, it's also

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Speaker 2: you know, Texas Tribune that are asking some of these

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Speaker 2: same questions about whether or not these cuts played a

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Speaker 2: role in the absolutely devastating toll again worst one of

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Speaker 2: the worst floods in terms of death toll in a

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Speaker 2: century that unfolded here. And of course, you know there's

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Speaker 2: a climate change question to this as well, as we

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Speaker 2: see these catastrophic extreme weather events, these once in one

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Speaker 2: hundred year floods happening on now a decade by decade

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Speaker 2: more and more frequently. That's, you know, a big piece

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Speaker 2: of this.

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Speaker 3: And then the other.

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Speaker 2: Part as well is you have the Trump administration not

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Speaker 2: only cutting FEMA, or sorry not in cutting the National

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Speaker 2: Weather Service, but also wanting to cut FEMA so that

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Speaker 2: in the wake of these horrific tragedies, you also have

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Speaker 2: a lesson ability to help people who have survived and

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Speaker 2: helped communities be able to rebuild. Let's go ahead and

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Speaker 2: go to a four. Trump yesterday evening got asked some

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Speaker 2: of these questions, both about FEMA and about whether the

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Speaker 2: cuts impacted the response and you know, created more death

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Speaker 2: and destruction in the.

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Speaker 3: Wake of these floods. Let's go ahead and take a

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Speaker 3: listen to that. Are you investigating whether some of the

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Speaker 3: cuts to the federal.

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Speaker 1: Government left tea vacancies of the National Weather Service or

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Speaker 1: the emergency For me.

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Speaker 3: I did not.

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Speaker 6: I'll tell you if you look at that that water situation,

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Speaker 6: that all is and that was really Biden set up.

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Speaker 3: That was not our setup.

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Speaker 4: But I wouldn't blame Biden for it either.

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Speaker 5: I would just say, this is one hundred year catastrophe

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Speaker 5: and it's just so horrible to watch.

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Speaker 3: Are you still planning to phase out FEMA?

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Speaker 6: Well, FEMA is something we could talk about later, but

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Speaker 6: right now they're busy working, so we'll leave.

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Speaker 4: It at that.

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Speaker 2: Go ahead, and Emily, to me, it's particularly sick because

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Speaker 2: Trump ran aggressively on the response to Hurricane Helene, claiming

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Speaker 2: that the Biden administration didn't do enough there, which there

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Speaker 2: may well have been failures from the Biden administration, you know, FEMA.

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Speaker 2: I'm honestly not certain if there was more that they

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Speaker 2: could have done there or not. But he really positioned

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Speaker 2: himself in the closing days of the campaign as someone

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Speaker 2: who is going to be better on disaster preparedness and

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Speaker 2: disaster recovery, and then as soon as he gets in

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Speaker 2: office runs in the polar opposite direction. And not only

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Speaker 2: has he been talking about getting rid of FEMA altogether

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Speaker 2: and just sending it to the states, they're also diverting

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Speaker 2: FEMA funds too, for example building Alligator Alcatraz right now.

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Speaker 2: So again, you not only have the Doge chainsaw that

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Speaker 2: came in and cut the National Weather Service cut Noah,

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Speaker 2: this has been a long time Conservative priority. By the way,

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Speaker 2: it was in Project twenty twenty five. This didn't just

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Speaker 2: come out of nowhere. But not only do you have

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Speaker 2: the time, the way, Yeah, we can put that up

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Speaker 2: on the screen. This is something actually Soccer and I

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Speaker 2: were talking and I think you were talking about it too,

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Speaker 2: even before Trump got elected. When we were talking about

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Speaker 2: Project twenty twenty five. There's an ideological project, you know,

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Speaker 2: an attack here on the National Weather Service which comes

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Speaker 2: both out of an ideological commitment to just cutting the

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Speaker 2: government overall, but also out of ideological opposition to doing

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Speaker 2: anything about the climate crisis. And that's spelled on, you know,

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Speaker 2: quite clearly here that they feel the National Weather Service

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Speaker 2: is a key part of what they call the climate

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Speaker 2: change alarm industry. And so there was, you know, a

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Speaker 2: concerted effort to go after this, and so sometimes you know,

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Speaker 2: I think some of the Elon cuts, Doge cuts were

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Speaker 2: sort of random and haphazard. This one was planned out,

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Speaker 2: This one was messaged in advance, not that they talked

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Speaker 2: a lot about it on the campaign trail, but you know, Trump,

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Speaker 2: of course they're just shifting it to the side and saying, actually,

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Speaker 2: the water situation there is somehow Biden's fault.

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Speaker 4: What's interesting also about this is people remember the leaked

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Speaker 4: video of russ vote talking about how the goal was

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Speaker 4: to demoralize bureaucrats. So we talked about some of the

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Speaker 4: cuts Crystal earlier this year affecting tornado warnings, and I

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Speaker 4: pulled up an Associated Press article from May that said,

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Speaker 4: as of March some of the Weather Service offices issuing

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Speaker 4: tornado warnings Friday and Sunday were above the twenty percent

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Speaker 4: vacancy levels that outside experts have said as a critical threshold.

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Speaker 4: So those are offices with twenty five nine thirty two

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Speaker 4: percent vacancy rate and for example Wichita. And what's interesting

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Speaker 4: about that vacancy rate, that's positions that are unfilled that

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Speaker 4: they are trying to fill. That is not positions that

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Speaker 4: were cut, which is really the sort of public marketing

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Speaker 4: of DOGE is that we are slashing, kind of permanently slashing.

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Speaker 4: The idea was the size of the federal government. These

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Speaker 4: are people who were, in all likelihood to the point

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Speaker 4: that we were just talking about in the Kervel area,

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Speaker 4: they were driven out of the work. It took early retirements,

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Speaker 4: they decided to go work in the private sector. And

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Speaker 4: so I think it does crystal reflect on DOGE overall

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Speaker 4: when you say these are positions that are actually not

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Speaker 4: being cut, they're just vacant. They're just completely like they're

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Speaker 4: some of these If it's a vacancy, that implies that

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Speaker 4: they don't want to get rid of the position because

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Speaker 4: they're still actively filling the position, which is very different

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Speaker 4: from just slashing the size of the offices totally.

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Speaker 2: What also speaks to so for this individual in particular,

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Speaker 2: who was known for doing the local coordination and was

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Speaker 2: a veteran and took the early buyout.

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Speaker 3: It also speaks to the fact that a lot of

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Speaker 3: the people that.

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Speaker 2: Were pushed out were some of the most effective, some

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Speaker 2: of the people that you would actually want to keep

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Speaker 2: and prioritize keeping. So all the language about doj oh,

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Speaker 2: we need to get back to merit, et cetera, et cetera,

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Speaker 2: but then the actual program that they used to go

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Speaker 2: about doing this was almost tailor made to push out

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Speaker 2: some of the most senior and most valuable individuals throughout

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Speaker 2: the federal government who would be the most difficult to replace.

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Speaker 2: And I went and look this guy up. He's on LinkedIn.

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Speaker 2: He's now doing Yeah, private consulting. Who went to private industry. Yeah,

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Speaker 2: that's exactly what happened here. And so those vacancies continued

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Speaker 2: to remain, But there's a hiring freeze at the agency,

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Speaker 2: so it's not like they have the possibility of hiring

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Speaker 2: it to fill these positions. Even and then they also

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Speaker 2: things like the member there was that freeze on any

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Speaker 2: sort of expense reimbursement so that there was an inability

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Speaker 2: to travel, to coordinate between you know, from the state

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Speaker 2: office to the local communities, et cetera. So you know,

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Speaker 2: I was telling you I was watching the This is

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Speaker 2: going to seem like a total diversion, but I promise

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Speaker 2: it connects. I was watching the Titan Submersible right documentary

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Speaker 2: on Netflix, And when you see that dude's Docton Rush

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Speaker 2: who went down with the ship, the way he went

439
00:22:21,440 --> 00:22:25,520
Speaker 2: about doing things, and just like there was no cost

440
00:22:26,000 --> 00:22:28,800
Speaker 2: to all of the like I'm not going to get

441
00:22:28,880 --> 00:22:32,640
Speaker 2: my submersible classed and inspected by the federal government. I'm

442
00:22:32,640 --> 00:22:35,080
Speaker 2: not going to play by the rules. I'm an innovator.

443
00:22:35,320 --> 00:22:38,840
Speaker 2: And he talked about how he molded himself after Elon Musk.

444
00:22:39,400 --> 00:22:43,080
Speaker 2: There were so many personalities similarities there where it's just

445
00:22:43,119 --> 00:22:45,680
Speaker 2: like these guys think that none of this stuff matters,

446
00:22:45,960 --> 00:22:49,320
Speaker 2: Like there aren't going to be any real world impacts

447
00:22:49,720 --> 00:22:54,080
Speaker 2: of their willingness to cut corners and do things however

448
00:22:54,160 --> 00:22:55,520
Speaker 2: they want to do them. I mean, you see it

449
00:22:55,520 --> 00:22:57,760
Speaker 2: with Elon too, with like the USAAD cuts. He's in

450
00:22:57,760 --> 00:23:00,800
Speaker 2: total denial that that has impacted anyone's life lives. Obviously,

451
00:23:00,840 --> 00:23:04,359
Speaker 2: even if you're someone who doesn't like USAID, you have

452
00:23:04,440 --> 00:23:06,920
Speaker 2: to be honest and admit, of course, when you pull

453
00:23:07,560 --> 00:23:10,520
Speaker 2: funding for medicine away from kids who need it, that's

454
00:23:10,560 --> 00:23:14,000
Speaker 2: going to impact people's lives. And so there were huge

455
00:23:14,040 --> 00:23:19,480
Speaker 2: warnings here about what this could ultimately mean for life

456
00:23:19,520 --> 00:23:23,680
Speaker 2: and death. The living heads of the National Weather Service,

457
00:23:23,680 --> 00:23:25,960
Speaker 2: all of the previous heads, they put out an open letter.

458
00:23:26,000 --> 00:23:27,480
Speaker 2: We can put this up on the screen. This is

459
00:23:27,520 --> 00:23:31,919
Speaker 2: a seven warning of exactly this. They said that NWS

460
00:23:31,960 --> 00:23:34,480
Speaker 2: staff will have an impossible task to continue their current

461
00:23:34,520 --> 00:23:36,920
Speaker 2: level of service. Some forecast offices will be so short

462
00:23:36,920 --> 00:23:39,160
Speaker 2: staff they may be forced to go to part time services.

463
00:23:39,440 --> 00:23:42,040
Speaker 2: Not only are there fewer forecasters, there are fewer electronic

464
00:23:42,080 --> 00:23:45,280
Speaker 2: technicians who are responsible for maintaining the critical nextroad radars.

465
00:23:45,560 --> 00:23:47,560
Speaker 3: Our worst nightmare.

466
00:23:47,119 --> 00:23:49,840
Speaker 2: Is that weather forecast offices will be so understaffed there

467
00:23:49,880 --> 00:23:52,840
Speaker 2: will be needless loss of life. We know that's a

468
00:23:52,920 --> 00:23:55,600
Speaker 2: nightmare shared by those on the forecasting frontlines and by

469
00:23:55,640 --> 00:23:58,320
Speaker 2: the people who depend on their efforts.

470
00:23:58,640 --> 00:24:00,560
Speaker 3: So they weren't of this.

471
00:24:00,840 --> 00:24:03,560
Speaker 2: There was actually a warning from a Florida forecaster, again,

472
00:24:03,600 --> 00:24:07,480
Speaker 2: a veteran meteorologist down in South Florida. That went viral

473
00:24:07,520 --> 00:24:10,040
Speaker 2: at the time and is now going viral again because

474
00:24:10,080 --> 00:24:13,000
Speaker 2: he also is sounding the alarm about what these cuts

475
00:24:13,080 --> 00:24:16,480
Speaker 2: could mean as we had right now we're already into

476
00:24:16,680 --> 00:24:19,880
Speaker 2: hurricane season. Let's go ahead and take a listen to that.

477
00:24:20,359 --> 00:24:22,760
Speaker 7: When is it going to turn, John, It's not turning,

478
00:24:23,400 --> 00:24:24,640
Speaker 7: It's coming straight to us.

479
00:24:25,840 --> 00:24:26,880
Speaker 4: It's going to turn.

480
00:24:27,080 --> 00:24:32,320
Speaker 7: The turn will come Monday afternoon, Monday evening into Tuesday.

481
00:24:33,680 --> 00:24:35,679
Speaker 7: Remember that that was.

482
00:24:35,680 --> 00:24:36,600
Speaker 4: About six years ago.

483
00:24:36,640 --> 00:24:40,000
Speaker 7: That was Hurricane Dorian. As it was absolutely devastating the

484
00:24:40,200 --> 00:24:43,080
Speaker 7: northwest Bahamas as a Category five sat over that region

485
00:24:43,119 --> 00:24:47,080
Speaker 7: for two days. It was headed straight west. Lots of

486
00:24:47,119 --> 00:24:50,680
Speaker 7: people in Florida were concerned the hurricane was heading here. Confidently,

487
00:24:51,119 --> 00:24:53,160
Speaker 7: I went on TV and I told you it's going

488
00:24:53,200 --> 00:24:56,359
Speaker 7: to turn. You don't need to worry. It is going

489
00:24:56,400 --> 00:24:59,600
Speaker 7: to turn. And I am here to tell you that

490
00:24:59,680 --> 00:25:00,880
Speaker 7: I'm not sure I can do that.

491
00:25:00,880 --> 00:25:01,480
Speaker 4: This year.

492
00:25:03,200 --> 00:25:08,560
Speaker 7: Because of the gut cuts, the gutting, the sledgehammer attack

493
00:25:09,280 --> 00:25:12,960
Speaker 7: on science in general. And I could talk about that

494
00:25:13,000 --> 00:25:15,720
Speaker 7: for a long long time. Let's talk about the federal

495
00:25:15,760 --> 00:25:18,600
Speaker 7: government cuts to the National Weather Service and to Noah,

496
00:25:18,680 --> 00:25:21,880
Speaker 7: did you know that Central and South Florida National Weather

497
00:25:21,920 --> 00:25:26,320
Speaker 7: Service offices are currently basically twenty to forty percent understaffed

498
00:25:27,160 --> 00:25:31,320
Speaker 7: from Tampa to Key West, including the Miami office twenty

499
00:25:31,400 --> 00:25:35,679
Speaker 7: to forty percent understaffed. Now, this type of staffing shortage

500
00:25:35,760 --> 00:25:38,840
Speaker 7: is having impacts across the nation because there's been a

501
00:25:38,960 --> 00:25:42,919
Speaker 7: nearly twenty percent reduction in weather balloon releases launches that

502
00:25:43,000 --> 00:25:46,040
Speaker 7: carry those radio signs, and what we're starting to see

503
00:25:46,480 --> 00:25:49,560
Speaker 7: is that the quality of the forecasts is becoming degraded.

504
00:25:50,280 --> 00:25:52,399
Speaker 7: There's also a chance because of some of these cuts

505
00:25:52,440 --> 00:25:55,919
Speaker 7: that NAWA Hurricane Hunter aircraft will not be able to

506
00:25:55,960 --> 00:25:59,080
Speaker 7: fly this year, and with less reconnaissance missions, we may

507
00:25:59,080 --> 00:26:03,040
Speaker 7: be flying blind and we may not exactly know how

508
00:26:03,080 --> 00:26:06,560
Speaker 7: strong a hurricane is before it reaches the coastline, like

509
00:26:06,880 --> 00:26:10,360
Speaker 7: happened a couple of years ago in Hurricane Otis in Acapulco, Mexico.

510
00:26:10,560 --> 00:26:12,320
Speaker 4: What you need to do is.

511
00:26:12,280 --> 00:26:16,040
Speaker 7: Call your representatives and make sure that these cuts are stopped.

512
00:26:16,720 --> 00:26:17,680
Speaker 3: So there you go.

513
00:26:18,280 --> 00:26:20,440
Speaker 2: Dire warning there that was I think back in February

514
00:26:20,480 --> 00:26:23,560
Speaker 2: from that South Florida forecaster, and you know the immediate

515
00:26:23,600 --> 00:26:26,119
Speaker 2: wake of these cuts, and there are a lot of

516
00:26:26,160 --> 00:26:28,840
Speaker 2: questions about what happened here. And I think it's fair

517
00:26:28,920 --> 00:26:31,000
Speaker 2: to say we don't know at this point whether the

518
00:26:31,040 --> 00:26:35,080
Speaker 2: cuts made a difference here or not, but a lot

519
00:26:35,080 --> 00:26:37,240
Speaker 2: of questions you can't help but ask, did the cuts

520
00:26:37,240 --> 00:26:40,240
Speaker 2: to the National Weather Service, these local offices, these vacancies,

521
00:26:40,280 --> 00:26:44,760
Speaker 2: these individuals who had longtime expertise in this community, longtime

522
00:26:44,800 --> 00:26:48,399
Speaker 2: relationships in this community. Could those people have made a

523
00:26:48,480 --> 00:26:52,120
Speaker 2: difference here if they hadn't been pushed out, if these

524
00:26:52,119 --> 00:26:56,600
Speaker 2: offices were not you know, understaffed, with these significant vacancies,

525
00:26:56,800 --> 00:27:00,440
Speaker 2: And it's horrifying to see. And certainly this won't be

526
00:27:00,480 --> 00:27:03,080
Speaker 2: the last time that these questions are raised, either with

527
00:27:03,119 --> 00:27:06,040
Speaker 2: regard to National Weather Service or anything else. And you know, Emily,

528
00:27:06,119 --> 00:27:08,560
Speaker 2: this is anecdotal, but I will say we were, you know,

529
00:27:08,600 --> 00:27:10,159
Speaker 2: we were at the beach last week. We try to

530
00:27:10,160 --> 00:27:12,800
Speaker 2: plan out like our daily schedule. The forecasts were the

531
00:27:12,840 --> 00:27:14,120
Speaker 2: worst I have ever seen.

532
00:27:14,359 --> 00:27:14,760
Speaker 3: They were.

533
00:27:15,080 --> 00:27:16,760
Speaker 2: I was looking on the weather app which gets all

534
00:27:16,760 --> 00:27:19,439
Speaker 2: of that information comes from the federal government, and it

535
00:27:19,520 --> 00:27:23,639
Speaker 2: was just like, wildly wrong every single day. Yeah, and

536
00:27:23,760 --> 00:27:26,679
Speaker 2: I look again, weather forecasts in the best of funding

537
00:27:26,760 --> 00:27:27,920
Speaker 2: times can be wrong.

538
00:27:28,440 --> 00:27:29,600
Speaker 3: But I look at them.

539
00:27:29,359 --> 00:27:32,080
Speaker 2: Like this could be doge, Like this could the reason

540
00:27:32,119 --> 00:27:34,719
Speaker 2: that this is all wrong could very well be that

541
00:27:34,760 --> 00:27:38,119
Speaker 2: they just don't have the resources to accurately forecast the

542
00:27:38,160 --> 00:27:41,720
Speaker 2: way that they used to and it's you know, contributes

543
00:27:41,760 --> 00:27:45,679
Speaker 2: to the sense of it. Also, like the loss of

544
00:27:45,720 --> 00:27:48,879
Speaker 2: life here is obviously the critical thing to focus on

545
00:27:48,960 --> 00:27:50,840
Speaker 2: in the fact that this is a major possibility again

546
00:27:50,840 --> 00:27:53,240
Speaker 2: as we head into like the worst of hurricane season.

547
00:27:53,240 --> 00:27:55,480
Speaker 2: I think this is a dire warning for the country

548
00:27:55,480 --> 00:27:56,480
Speaker 2: about the track we're on.

549
00:27:56,840 --> 00:27:59,200
Speaker 3: And it's also just this sense of decline.

550
00:27:58,760 --> 00:28:01,080
Speaker 2: Like things that we used to be to do, used

551
00:28:01,119 --> 00:28:02,919
Speaker 2: to be able to keep planes in there without like

552
00:28:03,000 --> 00:28:05,440
Speaker 2: you know, crashing into each other, crashing into a helicopter

553
00:28:05,520 --> 00:28:09,520
Speaker 2: or whatever. We can't forecast, we can't prepare the way

554
00:28:09,560 --> 00:28:12,440
Speaker 2: that we could even a decade ago. I mean that

555
00:28:12,600 --> 00:28:16,200
Speaker 2: is it's with horrifying and tragic consequences.

556
00:28:16,240 --> 00:28:19,800
Speaker 4: Well, and I'm very curious to see if this creeps

557
00:28:19,800 --> 00:28:22,600
Speaker 4: into the abundance conversation at all, given that Texas is

558
00:28:22,640 --> 00:28:26,199
Speaker 4: such a focal point of the debate between Texas California

559
00:28:26,280 --> 00:28:30,000
Speaker 4: as an argument for abundance. Because Mike Baker the New

560
00:28:30,080 --> 00:28:33,320
Speaker 4: York Times runs down. Yeah, see he's been running down.

561
00:28:33,320 --> 00:28:35,680
Speaker 4: He has a thread on X Ray. He's running down

562
00:28:35,760 --> 00:28:41,400
Speaker 4: all of the apparent, ostensible local cracks that led to

563
00:28:41,440 --> 00:28:45,200
Speaker 4: the situation that transpired on Friday, And it's pretty interesting.

564
00:28:45,880 --> 00:28:48,240
Speaker 4: You know, the people didn't want to, for example, pay

565
00:28:48,320 --> 00:28:52,240
Speaker 4: for what they saw is way too expensive warning signs

566
00:28:52,760 --> 00:28:56,959
Speaker 4: or warnings sirens. So there are a lot of I

567
00:28:56,960 --> 00:28:59,560
Speaker 4: think important questions that are going to be asked because

568
00:28:59,600 --> 00:29:03,000
Speaker 4: of all of this. The quick thought on the political

569
00:29:03,040 --> 00:29:05,840
Speaker 4: component that we were just talking about. I mean, I'm

570
00:29:05,880 --> 00:29:08,880
Speaker 4: sure that there are defensible cuts to the National Weather Service.

571
00:29:08,880 --> 00:29:10,480
Speaker 4: I have no idea how many they are. I don't

572
00:29:10,520 --> 00:29:12,240
Speaker 4: even know what they look like. I'm sure you can

573
00:29:12,280 --> 00:29:15,080
Speaker 4: find an argument that there would be a more efficient

574
00:29:15,360 --> 00:29:20,560
Speaker 4: NWS or Noah whatever with a couple of precise cuts scalpel,

575
00:29:20,720 --> 00:29:22,720
Speaker 4: not sledgehammers, and not. What they ended up saying is

576
00:29:22,800 --> 00:29:27,760
Speaker 4: those was sort of teetering on the brink. But the

577
00:29:27,840 --> 00:29:33,960
Speaker 4: must mentality has probably damaged the project of making a

578
00:29:33,960 --> 00:29:38,240
Speaker 4: more efficient federal government for a generation because now it

579
00:29:38,320 --> 00:29:44,480
Speaker 4: is inextricably emotionally viscerally linked with everything that happens afterwards.

580
00:29:44,480 --> 00:29:47,560
Speaker 4: Sometimes it'll be fair, sometimes it won't be fair. But

581
00:29:47,920 --> 00:29:51,200
Speaker 4: either way, these the way that he I just wanted

582
00:29:51,200 --> 00:29:54,360
Speaker 4: to make that point about Stockton Rush that you brought up,

583
00:29:54,400 --> 00:29:57,600
Speaker 4: I think that's super incisive because it's this people who

584
00:29:57,680 --> 00:30:01,640
Speaker 4: come from the tech world, who are super online and

585
00:30:02,000 --> 00:30:06,080
Speaker 4: or the highest echelons of business, and you know, they're airs.

586
00:30:06,120 --> 00:30:08,080
Speaker 4: I think Stockton Rush was an air, right, like yeah,

587
00:30:08,080 --> 00:30:12,520
Speaker 4: it was yeah right, and just tinkering with life and

588
00:30:12,560 --> 00:30:15,600
Speaker 4: death in a way that I think lacks the gravity

589
00:30:15,840 --> 00:30:19,960
Speaker 4: and the consequence of the decision making, and that I

590
00:30:19,960 --> 00:30:22,640
Speaker 4: don't know the project of like actually shrinking the scope

591
00:30:22,640 --> 00:30:25,000
Speaker 4: of the federal government will ever recover from, at least

592
00:30:25,000 --> 00:30:26,680
Speaker 4: in the next couple decades, not to mention.

593
00:30:27,040 --> 00:30:29,600
Speaker 2: I mean, Elan, I'll tell you, first of all, they

594
00:30:29,640 --> 00:30:32,600
Speaker 2: didn't save any money, no, no, none. They cost the

595
00:30:32,600 --> 00:30:34,760
Speaker 2: federal government money to make it worse. They made the

596
00:30:34,760 --> 00:30:38,120
Speaker 2: federal government worse and less efficient and it costs more money. Right,

597
00:30:38,520 --> 00:30:42,800
Speaker 2: And they just passed the big beautiful bill which is

598
00:30:42,800 --> 00:30:45,040
Speaker 2: going to blow up the den and the deficit. So

599
00:30:45,280 --> 00:30:48,240
Speaker 2: if there was any pretense of, oh, this is all

600
00:30:48,240 --> 00:30:50,840
Speaker 2: to get our spending under control, you know, because we

601
00:30:50,880 --> 00:30:54,320
Speaker 2: have such a large debt and deficit, I mean no,

602
00:30:54,440 --> 00:30:56,160
Speaker 2: you just you just made things worse.

603
00:30:56,280 --> 00:30:57,880
Speaker 3: That's it. That's what you accomplished.

604
00:31:00,480 --> 00:31:03,240
Speaker 4: That is the perfect segue into our next walk, which

605
00:31:03,280 --> 00:31:07,280
Speaker 4: is the America Party is now I guess official, Crystal.

606
00:31:07,320 --> 00:31:10,120
Speaker 4: We're going to learn more about filings and such in

607
00:31:10,240 --> 00:31:12,600
Speaker 4: the days ahead, but let's put the first element on

608
00:31:12,640 --> 00:31:15,479
Speaker 4: the screen. Elon Musk on the fourth of July tweeted

609
00:31:15,480 --> 00:31:17,200
Speaker 4: Independence Days of the perfect time to ask if you

610
00:31:17,240 --> 00:31:20,680
Speaker 4: want independence from the two party some would say uniparty system.

611
00:31:20,720 --> 00:31:23,280
Speaker 4: He started tweeting, like Trump, it's interesting, should we create

612
00:31:23,360 --> 00:31:24,440
Speaker 4: the America Party?

613
00:31:24,480 --> 00:31:26,760
Speaker 3: You know, because just a pause on that. Sorry.

614
00:31:27,800 --> 00:31:30,760
Speaker 2: One of my biggest pet peeves on the left, One

615
00:31:30,800 --> 00:31:33,040
Speaker 2: of my biggest pet paves is these people who all

616
00:31:33,080 --> 00:31:37,040
Speaker 2: will talk like Obama, Yes forever, Pete and Beato and

617
00:31:37,120 --> 00:31:39,520
Speaker 2: Corey Booker, and there's Josh Pier or whatever.

618
00:31:39,960 --> 00:31:40,640
Speaker 3: On the right.

619
00:31:41,640 --> 00:31:44,920
Speaker 2: The way everyone posts like Trump and tries to talk

620
00:31:45,000 --> 00:31:48,719
Speaker 2: like Trump is so annoying and grading, like can people

621
00:31:48,760 --> 00:31:50,240
Speaker 2: please have their own personality?

622
00:31:50,560 --> 00:31:54,280
Speaker 4: It's not only annoying and grading, it is also, I

623
00:31:54,280 --> 00:32:02,760
Speaker 4: don't know, Crystal, a little homo erotic. I see a post.

624
00:32:02,480 --> 00:32:04,920
Speaker 3: From how about all the Daddy posting about Trump? It's

625
00:32:04,920 --> 00:32:05,480
Speaker 3: how about that?

626
00:32:06,840 --> 00:32:10,360
Speaker 4: It's a lot sometimes, but sometimes you see a post

627
00:32:10,440 --> 00:32:14,160
Speaker 4: from like I don't know, Charlie Kirk. He's really bad

628
00:32:14,200 --> 00:32:18,200
Speaker 4: about it. He posts like when Trump started getting more

629
00:32:18,240 --> 00:32:20,600
Speaker 4: and more popular back like ten years ago. Now his

630
00:32:21,160 --> 00:32:25,880
Speaker 4: style changed so conspicuously on Twitter anyway, this is entirely

631
00:32:25,920 --> 00:32:29,200
Speaker 4: beside the point. But like Elon is playing that game

632
00:32:29,280 --> 00:32:32,920
Speaker 4: as well now. But his poll results on x This

633
00:32:33,000 --> 00:32:36,400
Speaker 4: is another super Trumpian thing, right, Chris Well. Remember when

634
00:32:36,440 --> 00:32:38,880
Speaker 4: Trump during the twenty fifteen to sixteen debates against other

635
00:32:38,920 --> 00:32:42,440
Speaker 4: Republican candidates would constantly be citing Twitter polls, like in

636
00:32:42,480 --> 00:32:44,120
Speaker 4: the debates and in media.

637
00:32:44,200 --> 00:32:46,280
Speaker 3: Does this time, remember he was citing that cat Turn poll.

638
00:32:46,640 --> 00:32:48,360
Speaker 4: Here you go by a factor of two to one.

639
00:32:48,360 --> 00:32:50,400
Speaker 4: You want a new political party, Elon Musk says, and

640
00:32:50,440 --> 00:32:52,960
Speaker 4: you shall have it because people who follow Elon Musk

641
00:32:53,040 --> 00:32:57,320
Speaker 4: on Twitter he apparently got one point two million votes,

642
00:32:57,840 --> 00:33:01,239
Speaker 4: said that they want a new political party. Now, that

643
00:33:01,400 --> 00:33:03,320
Speaker 4: is not a question that says they want an America

644
00:33:03,360 --> 00:33:05,880
Speaker 4: party necessarily, it says, you know, we live in a

645
00:33:05,880 --> 00:33:08,400
Speaker 4: one party system, not a democracy. So that could mean

646
00:33:08,440 --> 00:33:10,240
Speaker 4: a lot of different things. But it's really there's no

647
00:33:10,320 --> 00:33:14,480
Speaker 4: point in parsing the seriousness of this pole at social media.

648
00:33:15,720 --> 00:33:21,840
Speaker 4: But Trump responded to this and this is our next element.

649
00:33:21,880 --> 00:33:25,719
Speaker 4: This is B one B with a very long post

650
00:33:25,880 --> 00:33:28,480
Speaker 4: on X where he says, I am saddened to watch

651
00:33:28,560 --> 00:33:31,400
Speaker 4: Elon Musk or on True Social Elon Musk go completely

652
00:33:31,480 --> 00:33:34,600
Speaker 4: off the rails, essentially becoming a train wreck over the

653
00:33:34,600 --> 00:33:37,200
Speaker 4: past five weeks. He even wants to start a third

654
00:33:37,240 --> 00:33:40,120
Speaker 4: political party, despite the fact that they have never succeeded

655
00:33:40,200 --> 00:33:44,000
Speaker 4: in the United States. The system seems not designed for them.

656
00:33:44,560 --> 00:33:46,480
Speaker 4: Seems yes, excellent.

657
00:33:46,240 --> 00:33:48,760
Speaker 3: Never is an overstatement that anyway, go ahead.

658
00:33:48,560 --> 00:33:54,400
Speaker 4: Yeah, he is from the Republican Party, which third parties. Yes,

659
00:33:55,720 --> 00:33:57,400
Speaker 4: and then he goes on, I mean this is like

660
00:33:57,480 --> 00:34:00,400
Speaker 4: a three hundred word post on True Social. He goes

661
00:34:00,440 --> 00:34:03,000
Speaker 4: on to talk about the ev mandate. He says, my

662
00:34:03,120 --> 00:34:08,120
Speaker 4: number one charge is to protect the American public. So

663
00:34:08,200 --> 00:34:13,479
Speaker 4: they were trading barbs all weekend basically. Musk then went

664
00:34:13,600 --> 00:34:16,560
Speaker 4: on to say the Republican Party has a clean sweep

665
00:34:16,560 --> 00:34:19,960
Speaker 4: of the executive, legislative and judicial branches and still has

666
00:34:19,960 --> 00:34:22,160
Speaker 4: the nerve to massively increase the size of the government,

667
00:34:22,360 --> 00:34:25,960
Speaker 4: expanding the national debt by a record five trillion dollars. So, Crystal,

668
00:34:26,360 --> 00:34:31,319
Speaker 4: this all happened as promised after Donald Trump on the

669
00:34:31,320 --> 00:34:35,560
Speaker 4: fourth of July, he got his perfect ceremonial moment signed

670
00:34:35,640 --> 00:34:38,560
Speaker 4: the one big Beautiful bill at the White House on

671
00:34:38,560 --> 00:34:40,719
Speaker 4: the fourth of July. That is what Elon Musk said,

672
00:34:40,719 --> 00:34:43,759
Speaker 4: basically would be the infantos for the America Party. And

673
00:34:43,880 --> 00:34:46,320
Speaker 4: just very quickly the next element he is now saying

674
00:34:46,600 --> 00:34:49,000
Speaker 4: that he could target just two to three Senate seats

675
00:34:49,000 --> 00:34:53,520
Speaker 4: in eight to ten house districts by basically as this

676
00:34:53,719 --> 00:34:57,840
Speaker 4: person he interacts with a lot on ex Mario Naffal, Yeah, says,

677
00:34:58,640 --> 00:35:02,680
Speaker 4: skipping the national circuit hit where margins are razor thin.

678
00:35:03,120 --> 00:35:05,960
Speaker 4: Now that's actually a very smart political strategy.

679
00:35:06,719 --> 00:35:07,960
Speaker 3: But it's a.

680
00:35:07,960 --> 00:35:10,680
Speaker 2: Smart political strategy if you want to hand Democrats those

681
00:35:10,760 --> 00:35:13,280
Speaker 2: two to three Senate stats in eight to ten house districts.

682
00:35:13,320 --> 00:35:16,399
Speaker 4: There it is, Yes, that's what you That's exactly what

683
00:35:16,520 --> 00:35:18,600
Speaker 4: will in all likelihood happen.

684
00:35:18,880 --> 00:35:19,640
Speaker 3: Yeah.

685
00:35:19,719 --> 00:35:22,359
Speaker 2: And by the way, Elon interacted with this post, which

686
00:35:22,400 --> 00:35:24,480
Speaker 2: gave me the sense that this was at least somewhat

687
00:35:24,480 --> 00:35:26,880
Speaker 2: in the ballpark of what is actually happening here. Because no,

688
00:35:27,000 --> 00:35:29,799
Speaker 2: Fall is not always the most reliable character and it

689
00:35:29,840 --> 00:35:32,799
Speaker 2: drives me crazy, like the so many digressions today, but

690
00:35:32,840 --> 00:35:36,879
Speaker 2: the downgrading of links in the Twitter algorithm has made

691
00:35:36,880 --> 00:35:39,400
Speaker 2: it so obnoxious so that you know, people like you

692
00:35:39,440 --> 00:35:42,520
Speaker 2: can't go and check easily what people are actually saying

693
00:35:42,960 --> 00:35:45,359
Speaker 2: with the used to be that you posted the links

694
00:35:45,360 --> 00:35:46,760
Speaker 2: so you can go actually see anyway.

695
00:35:46,800 --> 00:35:47,120
Speaker 4: Whatever.

696
00:35:48,520 --> 00:35:51,520
Speaker 3: So the Trump post is still very interesting to me.

697
00:35:51,719 --> 00:35:54,520
Speaker 2: Because yes it's long and goes after Elon and says

698
00:35:54,560 --> 00:35:57,560
Speaker 2: he's gone off the rails or whatever. It still feels

699
00:35:57,840 --> 00:36:01,920
Speaker 2: so mild to me to what he says about you know,

700
00:36:01,920 --> 00:36:06,000
Speaker 2: I remember how humiliated Ronda Santas came to me in tears.

701
00:36:06,040 --> 00:36:08,680
Speaker 2: It is us and he needs just like he knows

702
00:36:08,760 --> 00:36:13,279
Speaker 2: how to absolutely humiliate people, and he doesn't really do

703
00:36:13,360 --> 00:36:14,120
Speaker 2: that in fact.

704
00:36:14,360 --> 00:36:16,960
Speaker 3: To be honest with you, I'm.

705
00:36:17,000 --> 00:36:19,360
Speaker 2: I you know, I don't like either of these guys.

706
00:36:19,440 --> 00:36:22,000
Speaker 2: I hope both of them fail. The points he made

707
00:36:22,000 --> 00:36:24,640
Speaker 2: about Elon were pretty reasonable. He's like, oh, he's mad

708
00:36:24,640 --> 00:36:28,800
Speaker 2: about his EV subsidies and he's mad that he didn't

709
00:36:28,800 --> 00:36:32,200
Speaker 2: get his like handpicked guy in t NASA so that

710
00:36:32,280 --> 00:36:34,680
Speaker 2: he could get whatever he wanted for SpaceX like.

711
00:36:35,200 --> 00:36:37,600
Speaker 3: True, yeah, true, correct.

712
00:36:37,440 --> 00:36:40,839
Speaker 2: Perfectly reasonable points there, and so I don't know, it's

713
00:36:40,880 --> 00:36:42,600
Speaker 2: just interesting to me. And then this will tie into

714
00:36:42,680 --> 00:36:46,880
Speaker 2: the Epstein black too, since Elon had floated previously like hey,

715
00:36:46,960 --> 00:36:49,239
Speaker 2: Trump's on the you know, a pedo basically Trump's on

716
00:36:49,239 --> 00:36:53,200
Speaker 2: the Epstein clientless and then once they sort of like

717
00:36:53,520 --> 00:36:57,080
Speaker 2: calmed the waters, he deleted those posts and said he

718
00:36:57,120 --> 00:36:57,920
Speaker 2: had gone too far.

719
00:36:59,120 --> 00:37:02,120
Speaker 3: So I don't know. But in terms of the America Party.

720
00:37:03,080 --> 00:37:05,520
Speaker 2: Do I think this is going to be some successful

721
00:37:05,560 --> 00:37:08,640
Speaker 2: effort to supplant either of the two main parties, which

722
00:37:08,680 --> 00:37:10,839
Speaker 2: is what a third party actually has to do in

723
00:37:10,920 --> 00:37:13,200
Speaker 2: order to find significant success. No, I don't think so,

724
00:37:13,400 --> 00:37:17,239
Speaker 2: especially because what is it even, Like what is the

725
00:37:17,280 --> 00:37:22,440
Speaker 2: ideology here? I mean I got he's talking, yeah, deficit reduction, Okay,

726
00:37:22,640 --> 00:37:26,040
Speaker 2: then like what are the other pieces that go along

727
00:37:26,080 --> 00:37:30,120
Speaker 2: with that? And very unclear because Elon's ideology has been

728
00:37:30,640 --> 00:37:33,959
Speaker 2: kind of all over the place. I saw we could

729
00:37:33,960 --> 00:37:37,600
Speaker 2: put just to steal man the argument for this sort

730
00:37:37,640 --> 00:37:40,840
Speaker 2: of like neoliberal austerity direction of a third.

731
00:37:40,719 --> 00:37:42,560
Speaker 3: Party, which is not a new idea.

732
00:37:42,680 --> 00:37:44,600
Speaker 2: I mean, go talk to the no labels people, go

733
00:37:44,640 --> 00:37:46,560
Speaker 2: talk to the Third Way people like this is their

734
00:37:46,560 --> 00:37:50,920
Speaker 2: whole bag. And there's very little public support, while I

735
00:37:50,960 --> 00:37:53,600
Speaker 2: think there is massive public support for like, hey, we'd

736
00:37:53,640 --> 00:37:56,800
Speaker 2: like we're frustrated with this political system. We are frustrated

737
00:37:56,800 --> 00:37:59,480
Speaker 2: with these two political parties. We would like some options

738
00:37:59,560 --> 00:38:00,040
Speaker 2: other than.

739
00:38:00,360 --> 00:38:02,320
Speaker 3: D or R. That would be great.

740
00:38:02,719 --> 00:38:04,759
Speaker 2: But then when you actually get down to the details

741
00:38:04,800 --> 00:38:07,760
Speaker 2: of oh, it's going to be a neoliberal austerity party

742
00:38:07,840 --> 00:38:11,279
Speaker 2: run by and for a billionaire, then that seems like.

743
00:38:11,200 --> 00:38:14,200
Speaker 4: A little money in China, right, a little.

744
00:38:14,120 --> 00:38:17,719
Speaker 2: Right the America Party by a billionaire who makes this

745
00:38:17,840 --> 00:38:20,880
Speaker 2: money in China. I guess that is American actually, But

746
00:38:21,120 --> 00:38:23,839
Speaker 2: in any case, you know, the public support for that

747
00:38:24,080 --> 00:38:26,960
Speaker 2: starts to dwindle pretty quickly once you get into that territory,

748
00:38:27,000 --> 00:38:29,360
Speaker 2: especially at a time when Elon Musk has completely nuked

749
00:38:29,560 --> 00:38:33,520
Speaker 2: his own personal favorability ratings, certainly with Liberals but also

750
00:38:33,760 --> 00:38:37,200
Speaker 2: with Republicans, with Maga Republicans. At this point, Nate content

751
00:38:37,280 --> 00:38:40,160
Speaker 2: analysis saying, hey, you never know, this was from a

752
00:38:40,160 --> 00:38:40,759
Speaker 2: little while ago.

753
00:38:40,920 --> 00:38:42,439
Speaker 3: B five guys who could put this up.

754
00:38:42,320 --> 00:38:45,360
Speaker 2: On the street, saying again, to steal me in the

755
00:38:45,400 --> 00:38:48,560
Speaker 2: case this is Nate Code's analysis. He says, listen, if

756
00:38:48,600 --> 00:38:52,480
Speaker 2: the two major parties truly go in this more populist

757
00:38:52,520 --> 00:38:56,000
Speaker 2: direction where you know, you're doing tariffs and you're doing

758
00:38:56,120 --> 00:39:01,839
Speaker 2: industrial policy, and you're doing you know, big spending, and

759
00:39:02,080 --> 00:39:04,960
Speaker 2: you know maybe the Democrats actually go in a sort

760
00:39:05,000 --> 00:39:06,840
Speaker 2: of like Zoron AOC direction.

761
00:39:07,360 --> 00:39:08,160
Speaker 3: This was pree Zorn.

762
00:39:08,239 --> 00:39:10,759
Speaker 2: But anyway, maybe the Republicans, you know, they actually go

763
00:39:10,840 --> 00:39:14,640
Speaker 2: in this more populous nationalist stee Bannon type direction, and

764
00:39:14,680 --> 00:39:19,480
Speaker 2: then you're left with these neoliberal business market types who

765
00:39:19,520 --> 00:39:22,680
Speaker 2: don't really have a home. Then maybe there starts to

766
00:39:22,719 --> 00:39:28,160
Speaker 2: be some logic for this centrist third party. But you know,

767
00:39:28,239 --> 00:39:30,759
Speaker 2: to me where that analysis falls apart. It's like, I

768
00:39:30,800 --> 00:39:33,480
Speaker 2: think neoliberals already have two parties.

769
00:39:33,200 --> 00:39:34,480
Speaker 3: Yeah, that continue to serve them.

770
00:39:34,520 --> 00:39:36,880
Speaker 2: I mean, this giant bill that just passes a big

771
00:39:37,000 --> 00:39:39,520
Speaker 2: tax cut for the rich. You know, the tariffs have

772
00:39:40,120 --> 00:39:43,400
Speaker 2: ended up certainly not being the revolutionary change at this

773
00:39:43,480 --> 00:39:46,200
Speaker 2: point that Trump had originally advertised.

774
00:39:46,200 --> 00:39:47,880
Speaker 3: These backed off the most maximums.

775
00:39:47,560 --> 00:39:50,880
Speaker 2: Position, and that's very responsive to the needs and desires

776
00:39:50,920 --> 00:39:52,200
Speaker 2: of billionaire oligarchs.

777
00:39:52,560 --> 00:39:54,760
Speaker 4: By the way, Yeah, that was big news over the weekend,

778
00:39:55,320 --> 00:39:58,719
Speaker 4: right and it's unclear exactly what's going to happen as

779
00:39:58,719 --> 00:40:01,760
Speaker 4: of right now, but they moved the July ninth tariff

780
00:40:02,000 --> 00:40:06,239
Speaker 4: tariff deadline to August first, and they're saying many more

781
00:40:06,239 --> 00:40:07,960
Speaker 4: deals are going to come. So for they have the

782
00:40:08,040 --> 00:40:12,680
Speaker 4: UK Vietnam and China. But they right now are even

783
00:40:13,000 --> 00:40:16,319
Speaker 4: as we speak, actually like trying to do what they've

784
00:40:16,360 --> 00:40:18,400
Speaker 4: been doing since April at this point, right there was

785
00:40:18,400 --> 00:40:21,879
Speaker 4: a July ninth deadline, and now it's it's suddenly August first,

786
00:40:21,880 --> 00:40:24,680
Speaker 4: a couple of days beforehand. So it just underscores exactly

787
00:40:24,719 --> 00:40:25,200
Speaker 4: what you were saying.

788
00:40:25,320 --> 00:40:27,520
Speaker 2: Yeah, And then so there's both the fact that I think,

789
00:40:27,640 --> 00:40:31,080
Speaker 2: you know, neoliberals have plenty of places politically or not

790
00:40:31,120 --> 00:40:33,000
Speaker 2: politically homeless far from it.

791
00:40:33,600 --> 00:40:34,719
Speaker 3: And we'll see what happens the.

792
00:40:34,600 --> 00:40:37,160
Speaker 2: Democratic primary in twenty twenty eight, whether there is any

793
00:40:37,200 --> 00:40:38,080
Speaker 2: sort of significanthit.

794
00:40:38,120 --> 00:40:38,880
Speaker 3: I think it's possible.

795
00:40:39,200 --> 00:40:41,440
Speaker 2: I think there's a real rupture over a kind of

796
00:40:41,480 --> 00:40:45,960
Speaker 2: actually litmus test around Gaza that may end up shifting things.

797
00:40:46,000 --> 00:40:48,080
Speaker 2: But that's another conversation for another day.

798
00:40:48,280 --> 00:40:50,480
Speaker 3: But the other question is, like the public is done

799
00:40:50,520 --> 00:40:50,719
Speaker 3: with this.

800
00:40:51,600 --> 00:40:54,160
Speaker 2: So, yeah, you may have a lot of like rich

801
00:40:54,200 --> 00:40:56,360
Speaker 2: business people, and this has always been the thing with

802
00:40:56,520 --> 00:40:57,520
Speaker 2: Third Way and with no.

803
00:40:57,600 --> 00:40:58,360
Speaker 3: Labels and whatever.

804
00:40:58,520 --> 00:41:00,440
Speaker 2: The problem is not getting a bunch of rich business

805
00:41:00,480 --> 00:41:02,239
Speaker 2: people to be like, hey, let's have tax gets and

806
00:41:02,320 --> 00:41:05,680
Speaker 2: do regulation. The problem is that public support for that

807
00:41:05,840 --> 00:41:09,600
Speaker 2: at a time when the ideology of you know, standard

808
00:41:09,880 --> 00:41:13,799
Speaker 2: Reagan Clinton neoliberalism is so broken and failed, and what

809
00:41:13,840 --> 00:41:17,360
Speaker 2: people are desperately questing for is something different that is

810
00:41:17,400 --> 00:41:19,760
Speaker 2: actually going to work and be responsive to the concerns

811
00:41:19,760 --> 00:41:20,600
Speaker 2: of a modern age.

812
00:41:20,680 --> 00:41:23,240
Speaker 4: Well, and this is where I think Nate Cohn's analysis

813
00:41:23,239 --> 00:41:25,960
Speaker 4: the history of it was I think really helpful context.

814
00:41:26,040 --> 00:41:28,319
Speaker 4: But he says over the last few years a new

815
00:41:28,320 --> 00:41:30,520
Speaker 4: constituency has begun to emerge. For now does not have

816
00:41:30,560 --> 00:41:32,040
Speaker 4: a home in either party, and it's not clear that

817
00:41:32,040 --> 00:41:34,640
Speaker 4: either party will be able to easily accommodate its demands.

818
00:41:34,680 --> 00:41:38,640
Speaker 4: He says it favors things like deficit reduction, deregulation, free trade,

819
00:41:38,680 --> 00:41:41,919
Speaker 4: and high skilled immigration. And Chrystal, I do not think

820
00:41:42,000 --> 00:41:46,400
Speaker 4: that is a constituency that exists outside of Wall Street

821
00:41:46,560 --> 00:41:50,400
Speaker 4: and Silicon Valley, right, That is not a mass constituency.

822
00:41:50,560 --> 00:41:52,959
Speaker 4: And that's really the problem with quote unquote America Party.

823
00:41:53,000 --> 00:41:56,640
Speaker 4: It's not that most Americans are satisfied with the two

824
00:41:56,640 --> 00:42:00,560
Speaker 4: party system. Basically nobody is satisfied with the two party system.

825
00:42:00,640 --> 00:42:03,600
Speaker 4: That doesn't mean it's still the It doesn't win in

826
00:42:03,640 --> 00:42:06,320
Speaker 4: a lesser of two evils versus some type of different

827
00:42:06,440 --> 00:42:10,040
Speaker 4: system like UK or a lot of Europe. But at

828
00:42:10,040 --> 00:42:14,640
Speaker 4: the same time, this idea that there's a massive appetite

829
00:42:14,920 --> 00:42:19,640
Speaker 4: for what does keln say, deficit reduction, deregulation, free trade,

830
00:42:19,640 --> 00:42:22,840
Speaker 4: and high skilled immigration. This is also interesting because that's

831
00:42:22,880 --> 00:42:27,520
Speaker 4: basically the Republican Party that Donald Trump changed forever. Like,

832
00:42:27,560 --> 00:42:30,400
Speaker 4: if you can describe it like that deficit reduction, deregulation,

833
00:42:30,560 --> 00:42:32,520
Speaker 4: free trade, in high schilled immigration, that is what every

834
00:42:32,680 --> 00:42:37,000
Speaker 4: other twenty fifteen twenty sixteen Republican primary candidate was saying

835
00:42:37,040 --> 00:42:38,920
Speaker 4: that they were in favor of. Donald Trump created a

836
00:42:38,960 --> 00:42:42,760
Speaker 4: third party within the Republican Party essentially, and its success

837
00:42:42,880 --> 00:42:45,040
Speaker 4: is still post Trump up in the air, Like, we

838
00:42:45,080 --> 00:42:47,760
Speaker 4: actually don't know what's going to happen to the Republican

839
00:42:47,800 --> 00:42:50,759
Speaker 4: Party after Trump, and there's certainly no constituency for the

840
00:42:50,800 --> 00:42:54,200
Speaker 4: old Republican Party. So the idea that maybe a bunch

841
00:42:54,200 --> 00:42:58,560
Speaker 4: of billionaires, this is exactly what you're saying, could create AstroTurf,

842
00:42:58,600 --> 00:43:03,080
Speaker 4: another no labels or third way. Yeah, of course you can.

843
00:43:03,280 --> 00:43:05,160
Speaker 4: I mean you can pump a bunch of money into it.

844
00:43:05,560 --> 00:43:07,600
Speaker 4: You can maybe win a couple of Yeah, you can

845
00:43:07,640 --> 00:43:11,879
Speaker 4: win a couple of house races. Whatever. That doesn't mean

846
00:43:11,920 --> 00:43:14,839
Speaker 4: that he's breaking the third party system. I just think

847
00:43:14,840 --> 00:43:17,960
Speaker 4: that's the idea that that's actually gonna happen is obviously absurd,

848
00:43:18,000 --> 00:43:19,160
Speaker 4: but yeah, it's got a lot of money.

849
00:43:19,239 --> 00:43:20,160
Speaker 3: Yeah, no, he does.

850
00:43:20,640 --> 00:43:22,600
Speaker 2: And listen, my fondest hope would be for all of

851
00:43:22,600 --> 00:43:25,120
Speaker 2: the people that you mentioned to basically put themselves in

852
00:43:25,160 --> 00:43:27,960
Speaker 2: some fringe third party and consign themselves.

853
00:43:27,600 --> 00:43:30,760
Speaker 4: To a relegancy and elect Democrats in the process.

854
00:43:31,160 --> 00:43:32,320
Speaker 3: Do that to go ahead.

855
00:43:32,520 --> 00:43:35,440
Speaker 2: You gonna have Andrew Cuomo, you got Michael Bloomberg, you

856
00:43:35,480 --> 00:43:38,200
Speaker 2: have Mark Cuban. There's all speaking. Mark Cuban, put B

857
00:43:38,280 --> 00:43:40,040
Speaker 2: six up on the screen. He's very open to this.

858
00:43:41,719 --> 00:43:44,960
Speaker 2: Andrew Yang also, come on, Andrew, Andrew, Liz, I have

859
00:43:45,120 --> 00:43:49,239
Speaker 2: so much affection for Andrew m I absolutely do, and

860
00:43:49,280 --> 00:43:51,640
Speaker 2: I genuinely, you know, and I still still talk to

861
00:43:51,719 --> 00:43:55,920
Speaker 2: him like semi regularly, Like I genuinely think his focus

862
00:43:56,000 --> 00:43:58,080
Speaker 2: is like we need to change it, like this system

863
00:43:58,160 --> 00:44:00,200
Speaker 2: is not working. And so anybody who's like, let's let's

864
00:44:00,200 --> 00:44:02,319
Speaker 2: do with something different things is like, yes, let's do it.

865
00:44:03,520 --> 00:44:06,640
Speaker 2: But then Cuban, I mean, it's just too it's just

866
00:44:06,680 --> 00:44:08,920
Speaker 2: too perfect. Cuban is out there like, oh, I can

867
00:44:08,960 --> 00:44:10,280
Speaker 2: help you get ballid access.

868
00:44:10,480 --> 00:44:15,040
Speaker 3: Good, go for it, buddy, do it, do it well.

869
00:44:15,120 --> 00:44:17,799
Speaker 4: See, this is one of the problems that con identifies

870
00:44:18,040 --> 00:44:21,359
Speaker 4: is that typically people who are dissatisfied with the two

871
00:44:21,440 --> 00:44:25,000
Speaker 4: party system don't agree unmuch. Therefore, there's never a route

872
00:44:25,040 --> 00:44:28,680
Speaker 4: really towards a third party because to cobble together the

873
00:44:29,440 --> 00:44:32,400
Speaker 4: people upset about left and right, you have to also

874
00:44:32,520 --> 00:44:35,560
Speaker 4: have some type of thread. You have to have some

875
00:44:35,680 --> 00:44:38,040
Speaker 4: type of unifying factor other than we just don't like

876
00:44:38,080 --> 00:44:41,040
Speaker 4: the other two parties. And if Musk thinks that it's

877
00:44:41,080 --> 00:44:44,360
Speaker 4: the national debt, that's insane, Like it's another thing that

878
00:44:44,360 --> 00:44:47,640
Speaker 4: people are upset about, of course, but it's nobody's priority, right.

879
00:44:47,640 --> 00:44:49,800
Speaker 4: Like again, if you polled most Americans and said, is

880
00:44:49,840 --> 00:44:51,560
Speaker 4: the national debt a problem? And do you not like

881
00:44:51,600 --> 00:44:54,560
Speaker 4: the two party system right now? People would be like, yeah,

882
00:44:54,600 --> 00:44:56,560
Speaker 4: I've got like, yes, don't like the two party system.

883
00:44:56,680 --> 00:44:59,400
Speaker 4: National debt is a big deal. We're you know, we

884
00:44:59,400 --> 00:45:01,080
Speaker 4: wish that the name should have had its fiscal house

885
00:45:01,120 --> 00:45:03,520
Speaker 4: in order. Most Americans would absolutely agree with both of

886
00:45:03,520 --> 00:45:07,080
Speaker 4: those things. That doesn't mean that it's their top voting priority. Well,

887
00:45:07,200 --> 00:45:09,560
Speaker 4: that they're going to be coerced into voting for a

888
00:45:09,600 --> 00:45:12,080
Speaker 4: third party when other people are speaking to their priority,

889
00:45:12,160 --> 00:45:12,640
Speaker 4: not to mention.

890
00:45:12,920 --> 00:45:16,560
Speaker 2: Okay, yeah, in theory just like those was kind of

891
00:45:16,600 --> 00:45:17,840
Speaker 2: popular at the beginning.

892
00:45:18,040 --> 00:45:20,920
Speaker 3: Yeah. Oh, should we cut the spent sure?

893
00:45:21,120 --> 00:45:21,359
Speaker 6: Yes?

894
00:45:21,600 --> 00:45:22,840
Speaker 3: Should government be more efficient?

895
00:45:22,960 --> 00:45:23,280
Speaker 1: Sure?

896
00:45:24,239 --> 00:45:28,040
Speaker 2: Should we gut the National Weather Service and FEMA so

897
00:45:28,080 --> 00:45:30,480
Speaker 2: that you know, little girls die in a flood?

898
00:45:30,480 --> 00:45:31,160
Speaker 3: Should we do that?

899
00:45:31,360 --> 00:45:33,400
Speaker 4: Or should we push the most expense or the most

900
00:45:33,480 --> 00:45:35,759
Speaker 4: experienced people out out? Should we?

901
00:45:36,320 --> 00:45:38,319
Speaker 2: Do you want your Social Security cut? Do you want

902
00:45:38,360 --> 00:45:42,640
Speaker 2: your Medicare cut? Because Musk again is a gigantic federal

903
00:45:42,680 --> 00:45:45,840
Speaker 2: government contractor with the with the Pentagon, So it's not

904
00:45:45,880 --> 00:45:47,480
Speaker 2: going to be the military budget, I can tell you

905
00:45:47,520 --> 00:45:50,479
Speaker 2: that much, which also did not happen underdos that were cuts.

906
00:45:50,560 --> 00:45:53,680
Speaker 2: Yes to National Weather Service, No cuts the military.

907
00:45:53,440 --> 00:45:56,360
Speaker 4: We just put a bunch of money into the military.

908
00:45:56,480 --> 00:45:58,880
Speaker 2: Right, That's exactly right, Which is why just to go

909
00:45:58,960 --> 00:46:01,680
Speaker 2: back to your point about Trump, you know, I think

910
00:46:01,680 --> 00:46:05,080
Speaker 2: it is both fair to say to change the Republican

911
00:46:05,120 --> 00:46:07,520
Speaker 2: Party and fair to say that there are a lot

912
00:46:07,560 --> 00:46:11,760
Speaker 2: of just ramping up the previous Republican Party priorities in Trump.

913
00:46:11,800 --> 00:46:14,680
Speaker 2: And I think BBB is the perfect example of that.

914
00:46:14,760 --> 00:46:17,040
Speaker 2: The one big beautiful bill where you get you know,

915
00:46:17,200 --> 00:46:19,840
Speaker 2: cuss the Social safetyment, very Paul Ryan, us cuss the

916
00:46:19,880 --> 00:46:20,799
Speaker 2: social safety net.

917
00:46:21,040 --> 00:46:21,960
Speaker 3: You get very.

918
00:46:21,800 --> 00:46:25,680
Speaker 2: Paul Ryan tax CITs literally drafted by like Paul Ryan

919
00:46:25,719 --> 00:46:30,280
Speaker 2: and his accolyadtes tax cuts that predominantly benefit the wealthiest

920
00:46:30,320 --> 00:46:35,160
Speaker 2: among us. You get a massive escalation in the military budget. Again,

921
00:46:35,200 --> 00:46:39,040
Speaker 2: these are key Republican priorities, and you know, Republicans have

922
00:46:39,280 --> 00:46:44,919
Speaker 2: I think he has significantly upped the rhetoric and the

923
00:46:45,960 --> 00:46:50,000
Speaker 2: I would say cruelty surrounding the immigration and deportation program.

924
00:46:50,000 --> 00:46:53,440
Speaker 2: But that's also not entirely new to the Republican Party.

925
00:46:53,760 --> 00:46:55,520
Speaker 2: I think that is the part that maybe is the

926
00:46:55,520 --> 00:46:58,839
Speaker 2: biggest break from the Republican Party the past, because I mean,

927
00:46:58,920 --> 00:47:03,960
Speaker 2: making ICE the largest federal law enforcement agency, making that

928
00:47:04,040 --> 00:47:08,840
Speaker 2: budget larger than the military budget of many significant countries

929
00:47:08,920 --> 00:47:14,000
Speaker 2: like Brazil and Israel. Like that, I mean, that is

930
00:47:14,600 --> 00:47:17,360
Speaker 2: that is truly different now. I think things like the terriffs,

931
00:47:17,400 --> 00:47:21,520
Speaker 2: the difference different approach to China, those sorts of things

932
00:47:21,560 --> 00:47:24,560
Speaker 2: are a genuine break. But it also can be overstated

933
00:47:24,760 --> 00:47:28,279
Speaker 2: how much the Trumpian approach is truly a break from

934
00:47:28,320 --> 00:47:31,839
Speaker 2: the Republican pass When you've got cuts to social safety net,

935
00:47:31,840 --> 00:47:34,759
Speaker 2: tax cuts, for the rich and a giant national security state.

936
00:47:35,239 --> 00:47:38,520
Speaker 2: That seems pretty consistent with the you know, Reagan era

937
00:47:38,640 --> 00:47:40,440
Speaker 2: Republican Party all the way up till today.

938
00:47:40,520 --> 00:47:42,719
Speaker 4: But Trump voters are probably not going to be super

939
00:47:42,719 --> 00:47:45,080
Speaker 4: satisfied with it, and that'll be interesting to see how

940
00:47:45,120 --> 00:47:47,880
Speaker 4: the Republican Party deals with going.

941
00:47:47,719 --> 00:47:49,279
Speaker 3: Forward trying to get on board with it.

942
00:47:49,360 --> 00:47:51,080
Speaker 4: You know, Well, the Trump base is different, things like

943
00:47:51,120 --> 00:47:55,560
Speaker 4: the independence right, people who voted Trump or typical Republican

944
00:47:55,640 --> 00:47:58,160
Speaker 4: voter whatever it is, or people who went like Obama

945
00:47:58,400 --> 00:48:01,320
Speaker 4: Trump and are not big they're not going to the rallies.

946
00:48:01,920 --> 00:48:04,319
Speaker 4: But then they realize the man who promised not to

947
00:48:04,320 --> 00:48:07,600
Speaker 4: cut Medicaid now has a plan in place that requires

948
00:48:07,640 --> 00:48:10,120
Speaker 4: them to jump through all these hoops. Plus they lose

949
00:48:10,120 --> 00:48:13,239
Speaker 4: their medication something like that. Yeah, we'll see, because I

950
00:48:13,239 --> 00:48:16,160
Speaker 4: think that's one of the biggest unanswered questions open questions

951
00:48:16,160 --> 00:48:19,120
Speaker 4: in politics, is what happens after Trump to the Republican Party.

952
00:48:19,160 --> 00:48:22,920
Speaker 4: What does it is just revert because one big, beautiful

953
00:48:22,920 --> 00:48:26,960
Speaker 4: bill suggests potentially reversion in the future. Now, on the

954
00:48:27,040 --> 00:48:29,919
Speaker 4: other hand, we got to roll this clip B three

955
00:48:30,560 --> 00:48:33,880
Speaker 4: of Steve Bannon because this gets to the question what

956
00:48:33,960 --> 00:48:36,480
Speaker 4: happens to the Republican Party after Donald Trump. One person

957
00:48:36,480 --> 00:48:39,359
Speaker 4: who's not going anywhere is Steve Bannon, and he has

958
00:48:39,400 --> 00:48:41,279
Speaker 4: a new nickname, and it's Elmo the Mook.

959
00:48:41,719 --> 00:48:42,839
Speaker 8: That's always human nature.

960
00:48:42,880 --> 00:48:44,360
Speaker 4: This is what we have here in the United States.

961
00:48:44,760 --> 00:48:48,840
Speaker 8: You have MAGA, you have the hardest core opposition to MAGA,

962
00:48:49,120 --> 00:48:50,360
Speaker 8: and you have a lot of people kind of in

963
00:48:50,360 --> 00:48:56,000
Speaker 8: the middle scene which way the buffoon, Elmo the Mook,

964
00:48:57,400 --> 00:49:02,400
Speaker 8: formerly known as Elon Musk, Elmo the Mock. He's today

965
00:49:03,520 --> 00:49:06,400
Speaker 8: in another smear and this only a foreigner could do this.

966
00:49:07,840 --> 00:49:09,759
Speaker 8: Think about it. He's got up on he's got up

967
00:49:09,760 --> 00:49:12,640
Speaker 8: on h on Twitter right now, a poll abt starting

968
00:49:12,680 --> 00:49:17,000
Speaker 8: an America Party, a non American starting an America party. No, brother,

969
00:49:17,080 --> 00:49:19,520
Speaker 8: you're not an American. You're a South African.

970
00:49:20,560 --> 00:49:22,560
Speaker 3: And if.

971
00:49:24,320 --> 00:49:26,839
Speaker 8: We take enough time and proved the facts of that,

972
00:49:26,920 --> 00:49:28,800
Speaker 8: you should be deported because there's a crime of what

973
00:49:28,960 --> 00:49:30,120
Speaker 8: you did among.

974
00:49:29,880 --> 00:49:32,759
Speaker 4: Many and so christ Oll Bannon, I would say, is

975
00:49:32,920 --> 00:49:38,120
Speaker 4: arguably more so than Trump, uh the sort of primary

976
00:49:38,840 --> 00:49:42,719
Speaker 4: gatekeeper champion of what the mega agenda should look like

977
00:49:42,960 --> 00:49:46,960
Speaker 4: based on his sense of the mega base. And he

978
00:49:47,040 --> 00:49:49,399
Speaker 4: has been critical of Dough, She's been critical of one

979
00:49:49,400 --> 00:49:54,480
Speaker 4: big beautiful bill and you know, ultimately trusts Donald Trump,

980
00:49:55,080 --> 00:49:57,640
Speaker 4: as he would say, But at the same time it

981
00:49:57,680 --> 00:50:01,600
Speaker 4: is sort of signaling waving the red flag, the warning

982
00:50:01,640 --> 00:50:05,719
Speaker 4: flags and being like this is veering off course. So

983
00:50:06,360 --> 00:50:08,080
Speaker 4: the idea that Elon Musk, I mean, it all is

984
00:50:08,120 --> 00:50:12,320
Speaker 4: so naive. And I think this is a fair criticism

985
00:50:12,320 --> 00:50:14,239
Speaker 4: that Andrew Yang has gotten over the years. Like a

986
00:50:14,239 --> 00:50:16,040
Speaker 4: bunch of Mark Cuban, there are a bunch of guys

987
00:50:16,040 --> 00:50:18,040
Speaker 4: in the business world who for years have said, like,

988
00:50:18,440 --> 00:50:19,960
Speaker 4: we just need to run the country a little bit

989
00:50:19,960 --> 00:50:21,960
Speaker 4: more like a business. We need a break from the past.

990
00:50:22,360 --> 00:50:26,200
Speaker 4: We can do this cash infusion and disrupt and all

991
00:50:26,239 --> 00:50:29,680
Speaker 4: of that. But it's it's like turning the Titanic around.

992
00:50:30,360 --> 00:50:33,600
Speaker 4: And Elon Musk thinking that because Donald Trump sort of

993
00:50:33,800 --> 00:50:38,480
Speaker 4: surgically attached him to MAGA, meant that the MAGA base

994
00:50:39,040 --> 00:50:44,440
Speaker 4: wanted to prioritize austerity and actually putting the debt first

995
00:50:44,440 --> 00:50:47,960
Speaker 4: and foremost above anything else. That was just that was

996
00:50:47,960 --> 00:50:50,360
Speaker 4: always crazy, Like the idea of the Republican Party was

997
00:50:50,400 --> 00:50:54,400
Speaker 4: ever going to actually cut the debt is completely insane.

998
00:50:54,520 --> 00:50:56,719
Speaker 2: Well, and here's the other thing is Elon Musk is

999
00:50:56,760 --> 00:50:58,719
Speaker 2: not genuine about this. He doesn't have any problem with

1000
00:50:58,760 --> 00:51:00,600
Speaker 2: his subsidies that he gets for the federal government.

1001
00:51:00,680 --> 00:51:02,359
Speaker 4: It says he does, but he doesn't, right.

1002
00:51:02,520 --> 00:51:06,960
Speaker 2: I mean, look, Obama rescued SpaceX and Tesla Tesla. Yeah,

1003
00:51:07,040 --> 00:51:09,879
Speaker 2: and you know Elon is Look, I think the EV

1004
00:51:10,000 --> 00:51:12,040
Speaker 2: credits are good. I think we should have the EV credits.

1005
00:51:12,080 --> 00:51:15,280
Speaker 2: I think we should be doing industrial policy around electric

1006
00:51:15,360 --> 00:51:17,920
Speaker 2: vehicles and the energy generation of the future.

1007
00:51:17,960 --> 00:51:18,839
Speaker 3: Like Elon and I.

1008
00:51:18,800 --> 00:51:22,719
Speaker 2: Are aligned on that. But you know, these guys don't

1009
00:51:22,760 --> 00:51:25,400
Speaker 2: actually want small government. They want a government that gives

1010
00:51:25,440 --> 00:51:27,800
Speaker 2: them what they want. And that is exactly the problem

1011
00:51:27,840 --> 00:51:30,560
Speaker 2: with the government is that is way too responsive to billionaires.

1012
00:51:30,560 --> 00:51:33,520
Speaker 2: It has created these billionaires who have been able to

1013
00:51:33,560 --> 00:51:36,040
Speaker 2: generate I mean most of these billionaires, they have been

1014
00:51:36,120 --> 00:51:39,080
Speaker 2: able to rig the system and create monopolies. So it's

1015
00:51:39,120 --> 00:51:42,520
Speaker 2: not like they really want a fair and competitive playing field.

1016
00:51:42,800 --> 00:51:46,520
Speaker 3: Quite the opposite. Many of these people absolutely despise.

1017
00:51:46,200 --> 00:51:51,440
Speaker 2: Lena Khan and her efforts to try to create actual

1018
00:51:51,520 --> 00:51:54,480
Speaker 2: market competition. And the other big problem at the core

1019
00:51:54,600 --> 00:51:57,080
Speaker 2: of this of this government that I'm talking about I'm

1020
00:51:57,120 --> 00:51:58,839
Speaker 2: not just talking about the Trump administration now, I'm talking

1021
00:51:58,880 --> 00:52:02,319
Speaker 2: about over decades, is that they have outsourced any sort

1022
00:52:02,320 --> 00:52:06,880
Speaker 2: of values and principles to market logic and thought that

1023
00:52:06,920 --> 00:52:09,400
Speaker 2: the markets would just figure it out for them, you know,

1024
00:52:09,520 --> 00:52:14,080
Speaker 2: to the like extent that even the FAA basically like

1025
00:52:14,120 --> 00:52:17,279
Speaker 2: the airlines regulate themselves. I mean, this is the sort

1026
00:52:17,320 --> 00:52:19,759
Speaker 2: of thing that happened during the neoliberal era. We went

1027
00:52:19,920 --> 00:52:22,440
Speaker 2: way too far in the direction of catering to the

1028
00:52:22,440 --> 00:52:26,120
Speaker 2: Elon Musks and the Mark Cubans of the world. So

1029
00:52:26,520 --> 00:52:29,680
Speaker 2: that's what people are revolving against. The idea you're going

1030
00:52:29,760 --> 00:52:32,920
Speaker 2: to have any sort of grassroots, like, you know, mass

1031
00:52:32,920 --> 00:52:36,359
Speaker 2: support for this type of effort. I think it's preposterous,

1032
00:52:36,400 --> 00:52:38,520
Speaker 2: but that doesn't None of this is to say that

1033
00:52:38,640 --> 00:52:42,680
Speaker 2: it can't have some significant impact when you're talking about Look,

1034
00:52:42,719 --> 00:52:44,240
Speaker 2: what's the House margin at this point.

1035
00:52:44,080 --> 00:52:46,560
Speaker 3: Is like three seats or something. It's very close. In

1036
00:52:46,600 --> 00:52:46,879
Speaker 3: the House.

1037
00:52:46,920 --> 00:52:50,040
Speaker 2: There's another retirement, a guy in what Tennessee is retiring

1038
00:52:50,080 --> 00:52:52,880
Speaker 2: something like that. Anyway, there's another House Republican retirement. It's

1039
00:52:52,960 --> 00:52:56,120
Speaker 2: very narrow in the House. The Senate is also fairly narrow,

1040
00:52:57,239 --> 00:52:59,640
Speaker 2: although there's a bit more of an edge for Republicans there.

1041
00:53:00,160 --> 00:53:03,279
Speaker 2: If you field some candidates in a couple of key

1042
00:53:03,320 --> 00:53:08,080
Speaker 2: seats that can absolutely be enough to take away let's say,

1043
00:53:08,080 --> 00:53:10,680
Speaker 2: four percent from the Republican Party and hand some seats

1044
00:53:10,680 --> 00:53:12,640
Speaker 2: to Democrats. So I'm not saying that it won't have

1045
00:53:12,719 --> 00:53:14,799
Speaker 2: any impact. What I am saying is that it will

1046
00:53:14,800 --> 00:53:18,000
Speaker 2: not have the impact that Elon Musk is purporting that

1047
00:53:18,040 --> 00:53:18,400
Speaker 2: it will have.

1048
00:53:18,600 --> 00:53:22,439
Speaker 4: If it has impact, it will be disproportionate to the

1049
00:53:22,480 --> 00:53:26,239
Speaker 4: actual national appetite for what he's calling for, because it'll

1050
00:53:26,280 --> 00:53:29,960
Speaker 4: be like massive cash infusions that throw races in one

1051
00:53:30,000 --> 00:53:33,640
Speaker 4: direction or the other, not that capture the imagination of

1052
00:53:33,880 --> 00:53:38,280
Speaker 4: millions of Americans who want the debt to be prioritized

1053
00:53:38,440 --> 00:53:40,560
Speaker 4: in their political lives.

1054
00:53:40,800 --> 00:53:40,960
Speaker 3: Right.

1055
00:53:40,960 --> 00:53:43,320
Speaker 4: And it's one of the saddest things about the situation

1056
00:53:44,400 --> 00:53:46,840
Speaker 4: our political leads have put us in is that you

1057
00:53:47,000 --> 00:53:50,719
Speaker 4: now have, for example, Trump voters who are on Medicaid

1058
00:53:51,880 --> 00:53:56,040
Speaker 4: who again, just as an example, let's say they think

1059
00:53:56,080 --> 00:53:59,919
Speaker 4: the national debt is way too high. But at the poll,

1060
00:54:00,280 --> 00:54:03,880
Speaker 4: you now have a billionaire demanding that they put this

1061
00:54:04,080 --> 00:54:06,680
Speaker 4: abstract question of the national debt, which you know, I

1062
00:54:06,719 --> 00:54:09,799
Speaker 4: agree with Elon Musk and others that it has a

1063
00:54:09,840 --> 00:54:13,319
Speaker 4: serious effect on inflation. I don't think you can really

1064
00:54:13,360 --> 00:54:15,760
Speaker 4: say it doesn't. It's like pretty obvious that the higher

1065
00:54:15,760 --> 00:54:18,560
Speaker 4: the debt goes, the more that our budget is like

1066
00:54:18,719 --> 00:54:22,680
Speaker 4: paying interest on the national debt. That yes, prices are

1067
00:54:22,719 --> 00:54:25,160
Speaker 4: higher because of all this, and that is a significant problem.

1068
00:54:25,200 --> 00:54:29,839
Speaker 4: But you're asking people then to table their immediate urgent interests.

1069
00:54:30,600 --> 00:54:33,319
Speaker 4: It's the billionaire who can afford us, you know, to

1070
00:54:33,360 --> 00:54:35,879
Speaker 4: feed his family even though it's massive, and put food

1071
00:54:35,960 --> 00:54:39,240
Speaker 4: on his table and pay all of his bills, saying

1072
00:54:39,280 --> 00:54:44,200
Speaker 4: that the American people should should table their immediate, every

1073
00:54:44,280 --> 00:54:48,120
Speaker 4: day kitchen table issues in the interest of this like

1074
00:54:48,160 --> 00:54:50,080
Speaker 4: abstract question of the national debt that just is not

1075
00:54:50,120 --> 00:54:51,440
Speaker 4: a constituency that exists.

1076
00:54:51,440 --> 00:54:53,839
Speaker 2: Well, and they're going to ask you to sacrifice they're

1077
00:54:53,840 --> 00:54:55,400
Speaker 2: not going to well, yeah, of course they're not going

1078
00:54:55,400 --> 00:54:58,640
Speaker 2: to sacrifice their federal government subsidies. They're not going to

1079
00:54:58,680 --> 00:55:01,000
Speaker 2: be willing to pay any more. In tact, it's all

1080
00:55:01,040 --> 00:55:03,080
Speaker 2: going to come out from the people who can afford

1081
00:55:03,160 --> 00:55:05,760
Speaker 2: it the least, which is why it's such a thoroughly

1082
00:55:06,320 --> 00:55:09,360
Speaker 2: should be a thoroughly discredited political project.

1083
00:55:09,360 --> 00:55:11,080
Speaker 4: And when they fuck up, they get bailed out. Silicon

1084
00:55:11,120 --> 00:55:14,360
Speaker 4: Valley Bank. I mean, it's absolutely over and over again. Yeah,

1085
00:55:14,440 --> 00:55:19,000
Speaker 4: so it's insane. Finally, Musk did complain, well, he's had

1086
00:55:19,040 --> 00:55:21,520
Speaker 4: some a couple of interesting moments of self awareness, like

1087
00:55:21,960 --> 00:55:23,880
Speaker 4: you could just see like a glimmer of self awareness.

1088
00:55:23,920 --> 00:55:26,520
Speaker 4: A couple of times since he's gone back to posting

1089
00:55:26,560 --> 00:55:29,399
Speaker 4: a bunch on X and one of them was him

1090
00:55:29,440 --> 00:55:33,520
Speaker 4: saying that the chainsaw in retrospect actually looked like it

1091
00:55:33,640 --> 00:55:38,080
Speaker 4: lacked empathy, no kidding, caancing around with the chainsaw at seapack.

1092
00:55:38,160 --> 00:55:41,080
Speaker 4: But another one was him saying that Trump was happy

1093
00:55:41,120 --> 00:55:43,400
Speaker 4: to have him when his poll numbers were higher, but

1094
00:55:43,520 --> 00:55:47,200
Speaker 4: now that they're lower and Musk is less popular, you know,

1095
00:55:47,239 --> 00:55:50,680
Speaker 4: Trump is less inclined to keep him around. And Nate

1096
00:55:50,719 --> 00:55:54,480
Speaker 4: Silver does have an interesting net favorability of chart of ELM.

1097
00:55:54,560 --> 00:55:56,920
Speaker 4: Muss dating back to before he endorsed Trump, starting in

1098
00:55:56,960 --> 00:55:59,920
Speaker 4: twenty twenty four, and he is he does have a

1099
00:56:00,120 --> 00:56:03,640
Speaker 4: higher net favorability. It was up around like at its

1100
00:56:03,680 --> 00:56:06,520
Speaker 4: highest in twenty twenty four seven plus seven percent. In

1101
00:56:06,600 --> 00:56:09,279
Speaker 4: January twenty twenty four, right before he endorses Trump, it's

1102
00:56:09,320 --> 00:56:13,920
Speaker 4: like plus four percent, and it actually though declines after

1103
00:56:14,080 --> 00:56:17,040
Speaker 4: the Trump term begins, so it sort of stabilizes between

1104
00:56:17,080 --> 00:56:19,640
Speaker 4: the endorsement and the election, but after Trump takes office

1105
00:56:19,680 --> 00:56:22,800
Speaker 4: and Doge becomes an actual government program, which it was

1106
00:56:22,840 --> 00:56:25,560
Speaker 4: only supposed to be this outside advisory council. It starts

1107
00:56:25,600 --> 00:56:28,719
Speaker 4: to dip precipitously, like that's when it starts. Is really

1108
00:56:28,719 --> 00:56:32,440
Speaker 4: when Doge becomes real. So Musk, you know, kind of

1109
00:56:32,480 --> 00:56:34,920
Speaker 4: has himself to blame for the situation he finds himself in.

1110
00:56:35,120 --> 00:56:36,840
Speaker 3: I would say so for sure.

1111
00:56:39,719 --> 00:56:41,760
Speaker 2: All right, So we talk about this latest with regard

1112
00:56:41,800 --> 00:56:44,560
Speaker 2: to Epstein, because this is just you can't make it up.

1113
00:56:44,600 --> 00:56:46,600
Speaker 2: And as I said before, it connects to Elin because

1114
00:56:46,600 --> 00:56:48,440
Speaker 2: he threw out there. Oh, by the way, Trump is

1115
00:56:48,440 --> 00:56:51,640
Speaker 2: on the Trump is in the Epstein files, which Trump

1116
00:56:51,680 --> 00:56:55,920
Speaker 2: and Epstein were friends. Trump was on Epstein's plane multiple times.

1117
00:56:56,080 --> 00:56:59,520
Speaker 2: Trump is pictured at parties with Jeffrey Epstein, so he

1118
00:56:59,719 --> 00:57:03,960
Speaker 2: is in Epstein files. Exactly what that entails maybe another matter.

1119
00:57:04,280 --> 00:57:07,520
Speaker 2: In any case, we now have gone from the Trump

1120
00:57:07,560 --> 00:57:11,320
Speaker 2: administration promising doing their big photo op with the influencers,

1121
00:57:11,400 --> 00:57:15,720
Speaker 2: remember this where they got their binders Epstein files Phase

1122
00:57:15,800 --> 00:57:19,080
Speaker 2: one and Pambondy out there saying I've got the client

1123
00:57:19,120 --> 00:57:22,120
Speaker 2: list on my desk, I'm reviewing thousands of hours of videos.

1124
00:57:22,200 --> 00:57:25,240
Speaker 2: We're going to get you the truth to Now let's

1125
00:57:25,240 --> 00:57:28,160
Speaker 2: put this up on the screen. They're saying, nothing to

1126
00:57:28,200 --> 00:57:31,880
Speaker 2: see here, nothing to see here whatsoever. The DOJ and

1127
00:57:31,920 --> 00:57:34,920
Speaker 2: the FBI conclude Epstein had no client list.

1128
00:57:35,160 --> 00:57:37,720
Speaker 4: There was no client list, no client list.

1129
00:57:37,880 --> 00:57:39,200
Speaker 3: He committed suicide.

1130
00:57:39,760 --> 00:57:43,760
Speaker 2: Absolutely no indication that he was killed and that he

1131
00:57:43,920 --> 00:57:48,600
Speaker 2: had any sort of black mare material on any powerful people.

1132
00:57:48,880 --> 00:57:53,640
Speaker 2: They sound say, specifically, investigators found quote no incriminating client

1133
00:57:53,640 --> 00:57:55,160
Speaker 2: list of Epstein's.

1134
00:57:54,720 --> 00:57:57,880
Speaker 4: Pause right there. Yeah, the language, this is written by

1135
00:57:57,920 --> 00:58:03,960
Speaker 4: lawyers the Department of Justice. No incriminating clientient list, which

1136
00:58:03,960 --> 00:58:07,280
Speaker 4: is not the same thing as no client list. Incriminating

1137
00:58:07,400 --> 00:58:10,560
Speaker 4: is a very subjective term, which could mean that there

1138
00:58:10,560 --> 00:58:13,880
Speaker 4: are a bunch of names in the Epstein book. Basically,

1139
00:58:13,920 --> 00:58:17,320
Speaker 4: we know this, and it's true that not all of

1140
00:58:17,320 --> 00:58:22,480
Speaker 4: those people are incriminated by Jeffrey Epstein mingling with them

1141
00:58:22,560 --> 00:58:26,800
Speaker 4: at a Harvard business fundraising lunch and taking their number down.

1142
00:58:26,840 --> 00:58:30,840
Speaker 4: Absolutely absolutely, that is a hell of a wiggle word,

1143
00:58:31,040 --> 00:58:31,439
Speaker 4: right there.

1144
00:58:32,880 --> 00:58:37,520
Speaker 2: So, no incriminating client list, no credible evidence that Epstein

1145
00:58:37,560 --> 00:58:41,280
Speaker 2: blackmailed prominent individuals, and no evidence that could predicate an

1146
00:58:41,280 --> 00:58:44,000
Speaker 2: investigation against uncharged third parties.

1147
00:58:44,640 --> 00:58:45,800
Speaker 3: And this there you go.

1148
00:58:46,080 --> 00:58:49,680
Speaker 4: As by the way, Pam Bondy said just a couple

1149
00:58:49,680 --> 00:58:53,080
Speaker 4: of months ago that the Epstein client list was on

1150
00:58:53,360 --> 00:58:57,000
Speaker 4: her desk. Now the DOJ is saying there is quote

1151
00:58:57,000 --> 00:58:59,960
Speaker 4: no incriminating client list, which has been interpreted as them

1152
00:59:00,080 --> 00:59:04,360
Speaker 4: saying there's no client list, understandably because you would think

1153
00:59:04,480 --> 00:59:08,600
Speaker 4: that a client of Epstein would be not just a

1154
00:59:08,880 --> 00:59:13,160
Speaker 4: financial client of Epstein. But it's implied when Pam Bondi

1155
00:59:13,240 --> 00:59:15,600
Speaker 4: says she has the quote unquote client list on her

1156
00:59:15,680 --> 00:59:18,720
Speaker 4: desk just a couple of months ago, that is sex

1157
00:59:18,760 --> 00:59:22,360
Speaker 4: trafficking clients of Jeffrey Epstein. That's what she was implying

1158
00:59:22,400 --> 00:59:24,840
Speaker 4: when she said it. So for the DOJ to now,

1159
00:59:24,920 --> 00:59:27,840
Speaker 4: just a couple of months later say there's no incriminating

1160
00:59:28,000 --> 00:59:32,800
Speaker 4: Epstein client list is an incredibly suspicious I don't even

1161
00:59:32,800 --> 00:59:36,200
Speaker 4: need to say it, but it's an incredibly suspicious flip

1162
00:59:36,240 --> 00:59:39,800
Speaker 4: flop that is being done with some careful language, and

1163
00:59:40,000 --> 00:59:45,040
Speaker 4: absolutely nobody is buying it. People in MAGA world are

1164
00:59:45,080 --> 00:59:47,560
Speaker 4: not buying it. Nobody is buying it. The question is

1165
00:59:47,600 --> 00:59:49,320
Speaker 4: how important it is to the people who are not

1166
00:59:49,400 --> 00:59:51,360
Speaker 4: buying it, And I think it's going to be pretty

1167
00:59:51,400 --> 00:59:54,280
Speaker 4: damn important. You think so, yes, I think so, based

1168
00:59:54,320 --> 00:59:55,919
Speaker 4: on what I've seen so far? What have you seen

1169
00:59:56,160 --> 01:00:00,000
Speaker 4: so Robbie Starbuck, Mike Cernovich. A lot of these online

1170
01:00:00,040 --> 01:00:02,720
Speaker 4: and MAGA influencers are absolutely furious. And of course they're

1171
01:00:02,720 --> 01:00:05,160
Speaker 4: taking it out more on Pam Bondy than they are

1172
01:00:05,200 --> 01:00:07,840
Speaker 4: on Donald Trump, more because Bondi has so far and

1173
01:00:07,840 --> 01:00:10,360
Speaker 4: some of that actually might be reasonable. Julie K. Brown,

1174
01:00:10,360 --> 01:00:14,640
Speaker 4: who has done some of the most important Epstein reporting,

1175
01:00:14,800 --> 01:00:17,920
Speaker 4: posted back in February. It's interesting to note that Pam

1176
01:00:18,040 --> 01:00:21,560
Speaker 4: Bondi was Florida's attorney general from twenty eleven to twenty nineteen,

1177
01:00:21,920 --> 01:00:24,960
Speaker 4: a period of time when Jeffrey Epstein's plane records became public,

1178
01:00:25,080 --> 01:00:27,800
Speaker 4: victim's lawsuits were filed, and a lot of new evidence

1179
01:00:27,840 --> 01:00:31,160
Speaker 4: against Epstein's surface. So questions should be asked about why

1180
01:00:31,280 --> 01:00:33,840
Speaker 4: she didn't take up the case or launch a probe

1181
01:00:34,040 --> 01:00:37,440
Speaker 4: when she was attorney general in Florida. And this is

1182
01:00:37,480 --> 01:00:41,600
Speaker 4: a persistent problem for the Trump administration. This happened, actually

1183
01:00:42,120 --> 01:00:45,560
Speaker 4: the suicide, the quote unquote suicide of Jeffrey Epstein happened

1184
01:00:45,600 --> 01:00:48,400
Speaker 4: on Trump. And by the way, Bill Barr's watch, Bill

1185
01:00:48,400 --> 01:00:52,080
Speaker 4: Barr's dad was the first person to give Jeffrey Epstein

1186
01:00:52,160 --> 01:00:54,840
Speaker 4: that job. At a private boarding school. Despite the very

1187
01:00:54,840 --> 01:00:58,360
Speaker 4: strange qualifications he would have very very strange. It happens

1188
01:00:58,400 --> 01:01:01,480
Speaker 4: on Bill Barr's watch. He is Attorney General of the

1189
01:01:01,560 --> 01:01:05,520
Speaker 4: United States. Alex Acosta, donald Trump's first labor secretary, was

1190
01:01:05,520 --> 01:01:08,800
Speaker 4: involved in the Sweetheart play deal in Florida and said

1191
01:01:08,840 --> 01:01:11,480
Speaker 4: at the time he was told Jeffrey Epstein belonged to

1192
01:01:11,680 --> 01:01:14,959
Speaker 4: intelligence and to leave it alone. Pam Bondi was ag

1193
01:01:15,160 --> 01:01:20,240
Speaker 4: from twenty eleven to twenty nineteen. Trump himself was obviously,

1194
01:01:20,240 --> 01:01:23,480
Speaker 4: as Crystal mentioned earlier, very friendly with Epstein.

1195
01:01:23,640 --> 01:01:25,880
Speaker 3: Epstein said they were besties for a decade.

1196
01:01:26,600 --> 01:01:32,360
Speaker 4: It's the evidence is to suggest that there's something deeper

1197
01:01:32,400 --> 01:01:35,120
Speaker 4: going on. My personal theory, Crystal is not that it's

1198
01:01:35,320 --> 01:01:38,120
Speaker 4: related to Donald Trump himself. I think it's very unlikely

1199
01:01:38,120 --> 01:01:42,200
Speaker 4: that Donald Trump himself was out there talking about how Epstein,

1200
01:01:42,320 --> 01:01:44,600
Speaker 4: openly talking about how Epstein like quote unquote likes him

1201
01:01:44,680 --> 01:01:48,200
Speaker 4: young and hanging out with him when NBC News was

1202
01:01:48,240 --> 01:01:52,520
Speaker 4: profiling Trump at man A Lago. And this is personally implicated.

1203
01:01:52,720 --> 01:01:55,720
Speaker 4: But the Bill Bar stuff goes way deep. I mean

1204
01:01:55,760 --> 01:02:00,200
Speaker 4: we're talking like way decades. That stuff goes decades back,

1205
01:02:01,160 --> 01:02:04,280
Speaker 4: So I think it might be more like Trump's orbit

1206
01:02:04,360 --> 01:02:07,040
Speaker 4: and people that he's protecting that he's hired because it

1207
01:02:07,040 --> 01:02:10,240
Speaker 4: comes back to him for having hired them, that it

1208
01:02:10,480 --> 01:02:13,840
Speaker 4: happened on his watch. That they just released what footage

1209
01:02:13,840 --> 01:02:17,400
Speaker 4: of surveillance cameras? I pulled up an Inspector General report

1210
01:02:17,440 --> 01:02:18,400
Speaker 4: from twenty twenty three, the.

1211
01:02:18,920 --> 01:02:20,280
Speaker 3: NB two up.

1212
01:02:20,320 --> 01:02:24,600
Speaker 2: This is the video from outside of Epstein's cell. They

1213
01:02:24,680 --> 01:02:26,800
Speaker 2: released like ten hours of video that shows no one

1214
01:02:26,880 --> 01:02:29,919
Speaker 2: going into the cell that is supposed to definitively prove

1215
01:02:29,960 --> 01:02:31,720
Speaker 2: that he did, in fact, quote unquote kill himself.

1216
01:02:31,760 --> 01:02:33,800
Speaker 4: And this is the available footage that again an Inspector's

1217
01:02:33,840 --> 01:02:36,120
Speaker 4: General report from twenty twenty three talked about. They said

1218
01:02:36,160 --> 01:02:39,160
Speaker 4: the available recorded video footage from the one SAHU camera

1219
01:02:39,240 --> 01:02:41,240
Speaker 4: captured a large part of the commentary of the Sahu

1220
01:02:41,320 --> 01:02:43,520
Speaker 4: and portions of the stairways leading to the different tiers,

1221
01:02:43,520 --> 01:02:47,800
Speaker 4: including Epstein's cell tier. Thus, anyone entering or attempting to

1222
01:02:47,880 --> 01:02:50,840
Speaker 4: enter Epstein's tier from the commonary would have been picked

1223
01:02:50,880 --> 01:02:53,400
Speaker 4: up by that video camera and Epstein's cell door was

1224
01:02:53,440 --> 01:02:56,640
Speaker 4: not in the camera's field of view. And reviewed the

1225
01:02:56,720 --> 01:02:59,280
Speaker 4: video and found that between approximately ten forty and six

1226
01:02:59,440 --> 01:03:02,480
Speaker 4: thirty no one was seen entering Epstein cells here from

1227
01:03:02,480 --> 01:03:04,840
Speaker 4: that commentary. So again, we've known this stuff since twenty

1228
01:03:04,880 --> 01:03:08,240
Speaker 4: twenty three. The question is if Epstein cell door is

1229
01:03:08,280 --> 01:03:10,720
Speaker 4: not on the camera's field of view, what is going on?

1230
01:03:11,200 --> 01:03:13,800
Speaker 4: The question is why If you look at the letter

1231
01:03:13,840 --> 01:03:17,720
Speaker 4: that the DOJ put out, they say that they are

1232
01:03:17,760 --> 01:03:21,120
Speaker 4: not going to release any of the allegedly thousands They

1233
01:03:21,160 --> 01:03:24,680
Speaker 4: say they have thousands of videos of Jeffrey Epstein and images,

1234
01:03:25,200 --> 01:03:28,000
Speaker 4: some of which involve victims. They say they're not putting

1235
01:03:28,040 --> 01:03:32,080
Speaker 4: any of it out because it would be inappropriate to

1236
01:03:32,120 --> 01:03:36,760
Speaker 4: put basically this disgusting material into the public view, retraumatizing victims.

1237
01:03:36,800 --> 01:03:40,600
Speaker 4: Absolutely true. But to say that we are literally closing

1238
01:03:40,680 --> 01:03:43,960
Speaker 4: the case and you are not getting a single shred

1239
01:03:44,200 --> 01:03:46,920
Speaker 4: of evidence from this trove that we apparently have, some

1240
01:03:46,960 --> 01:03:49,320
Speaker 4: of which is just Epstein, I guess talking to a camera.

1241
01:03:50,040 --> 01:03:52,680
Speaker 4: That's insane. Right, We don't even need to say that

1242
01:03:52,720 --> 01:03:55,280
Speaker 4: it's insane, but it's worth saying, like, this is so insane.

1243
01:03:55,480 --> 01:03:58,080
Speaker 2: Well, okay, so we've got a few things going on here.

1244
01:03:58,160 --> 01:04:02,800
Speaker 2: We've got number one, the Trump Epstein connections, which you know, look,

1245
01:04:02,840 --> 01:04:05,000
Speaker 2: Steve Bannon himself said he thought that Jeffrey Epstein was

1246
01:04:05,000 --> 01:04:07,520
Speaker 2: the only person who could take Trump down. So there

1247
01:04:07,880 --> 01:04:12,600
Speaker 2: you know, long relationship who knows okay, And you have

1248
01:04:12,720 --> 01:04:16,600
Speaker 2: as Emily very effectively put out all of these different

1249
01:04:16,600 --> 01:04:19,680
Speaker 2: Epstein connected people in the first Strump administration and in

1250
01:04:19,720 --> 01:04:23,920
Speaker 2: this one. And you also have so you've got the

1251
01:04:24,240 --> 01:04:27,360
Speaker 2: battle with Elon Musk erupting again and Elon had threatened

1252
01:04:27,400 --> 01:04:29,600
Speaker 2: previously basically like oh, by the way, Trump's in the

1253
01:04:29,600 --> 01:04:33,480
Speaker 2: Epstein files accusing him of being a pedophile. And then

1254
01:04:34,240 --> 01:04:38,280
Speaker 2: you have baby Nottanyahu in town exactly. And there are

1255
01:04:38,520 --> 01:04:42,360
Speaker 2: a lot of suggestions that what Epstein was really up

1256
01:04:42,400 --> 01:04:46,760
Speaker 2: to is he wasn't just freelancing as you know, horrifying

1257
01:04:46,920 --> 01:04:52,120
Speaker 2: sex trafficking, pedophile monster, but he was linked to masads

1258
01:04:52,160 --> 01:04:57,280
Speaker 2: specifically and was trying to gather information about various powerful

1259
01:04:57,320 --> 01:04:59,960
Speaker 2: people so it could be used to coerce and inflow

1260
01:05:00,760 --> 01:05:04,320
Speaker 2: American policy and foreign policy around the world. We know that,

1261
01:05:04,440 --> 01:05:08,000
Speaker 2: you know, he had connections with Ahod Barock, invested in

1262
01:05:08,000 --> 01:05:13,320
Speaker 2: some Israeli defense startup. Glene Maxwell's father appears to have

1263
01:05:13,320 --> 01:05:17,640
Speaker 2: been linked to massades. So there's that's always been sort

1264
01:05:17,680 --> 01:05:21,080
Speaker 2: of I mean, the part about what powerful people were

1265
01:05:21,120 --> 01:05:25,120
Speaker 2: in stare obviously that's important. This like criminal mass enterprise,

1266
01:05:25,200 --> 01:05:28,680
Speaker 2: obviously that's important. But even more significant in terms of

1267
01:05:28,680 --> 01:05:32,720
Speaker 2: our ongoing foreign policy and the type of tactics that

1268
01:05:32,880 --> 01:05:36,560
Speaker 2: be deployed would be information around whether he was, in

1269
01:05:36,560 --> 01:05:40,520
Speaker 2: fact and a massad asset, who was, you know, trying

1270
01:05:40,560 --> 01:05:43,400
Speaker 2: to entrap people and coerce them and be able to

1271
01:05:43,520 --> 01:05:46,720
Speaker 2: drive American foreign policy. So it was also not lost

1272
01:05:46,760 --> 01:05:51,320
Speaker 2: on me that this nothing to see here, no incriminating

1273
01:05:51,320 --> 01:05:56,440
Speaker 2: client list case closed comes the night before ving Yahu

1274
01:05:56,680 --> 01:05:59,440
Speaker 2: arrives into town and at the time that he is

1275
01:05:59,480 --> 01:06:04,720
Speaker 2: having this with Elon Musk. That timing seems so incredibly suspicious.

1276
01:06:04,800 --> 01:06:07,560
Speaker 4: It is also quite interesting that on a Sunday night

1277
01:06:07,720 --> 01:06:11,800
Speaker 4: they gave Axios the exclusive on the story. It is

1278
01:06:11,960 --> 01:06:16,760
Speaker 4: beyond bizarre. Alex Eisenstadt obviously good for him forgetting the scoop,

1279
01:06:16,840 --> 01:06:19,240
Speaker 4: But on a Sunday night, the administration gives a memo

1280
01:06:19,360 --> 01:06:23,000
Speaker 4: saying they're just closing up the Epstein file. To Axios,

1281
01:06:23,480 --> 01:06:26,040
Speaker 4: they just have their big victory, one big beautiful bill,

1282
01:06:26,160 --> 01:06:29,880
Speaker 4: generational piece of Republican legislation as they see it, that

1283
01:06:29,960 --> 01:06:31,520
Speaker 4: they sign on the fourth of July. A couple of

1284
01:06:31,560 --> 01:06:35,760
Speaker 4: days earlier, they have Netta Yahu coming on Monday. What

1285
01:06:35,880 --> 01:06:39,200
Speaker 4: a great time if you're a political strategist to bury

1286
01:06:39,280 --> 01:06:41,080
Speaker 4: a piece of news like this, or to attempt to

1287
01:06:41,120 --> 01:06:43,520
Speaker 4: bury a piece of news like this, and the Masad

1288
01:06:43,600 --> 01:06:48,240
Speaker 4: connections cannot be understated. I'm reading from the Times of

1289
01:06:48,480 --> 01:06:53,760
Speaker 4: Israel here. The Times of Israel mentioned that Robert Maxwell,

1290
01:06:53,840 --> 01:06:55,880
Speaker 4: who many people actually think was killed by Massad. But

1291
01:06:55,880 --> 01:06:58,040
Speaker 4: we don't have to even go down that rabbit hole.

1292
01:06:58,240 --> 01:07:00,760
Speaker 4: He's buried on Jerusalemsmount of Olives. Many members of the

1293
01:07:00,800 --> 01:07:05,440
Speaker 4: Israeli intelligence community attended his funeral, so did Yitzak Shamir.

1294
01:07:05,560 --> 01:07:09,360
Speaker 4: Israel's then Prime Minister. Shmir eulogized the British tycoon for

1295
01:07:09,360 --> 01:07:12,520
Speaker 4: the political connections he brought to Israel during the nineteen

1296
01:07:12,560 --> 01:07:14,800
Speaker 4: eighties and for the money he invested in it. That's

1297
01:07:14,840 --> 01:07:18,040
Speaker 4: obviously Gillian Maxwell's father, as Crystal noted, is someone that

1298
01:07:18,080 --> 01:07:19,360
Speaker 4: Jeffrey Epstein knew.

1299
01:07:19,520 --> 01:07:20,440
Speaker 7: Well.

1300
01:07:20,600 --> 01:07:21,240
Speaker 3: Yeah.

1301
01:07:21,280 --> 01:07:23,840
Speaker 2: And for people out there who would say, okay, well,

1302
01:07:23,840 --> 01:07:28,040
Speaker 2: if there's anything anything bad about Trump in this information,

1303
01:07:28,520 --> 01:07:31,480
Speaker 2: why wouldn't the Democrats, why wouldn't have Joe Biden have put.

1304
01:07:31,280 --> 01:07:32,200
Speaker 3: This out previously?

1305
01:07:32,560 --> 01:07:35,560
Speaker 2: This is the answer is because they also I mean

1306
01:07:35,600 --> 01:07:37,560
Speaker 2: First of all, it's a bipartisan affair, like we know

1307
01:07:37,560 --> 01:07:40,680
Speaker 2: about Bill Clinton being on the plane and whatever as well, right,

1308
01:07:41,000 --> 01:07:45,840
Speaker 2: But second of all, no Republican or Democratic administration is

1309
01:07:45,880 --> 01:07:47,640
Speaker 2: going to want to reveal the truth if the truth

1310
01:07:47,760 --> 01:07:51,240
Speaker 2: is in fact that Jeffrey Epstein is a Masad asset

1311
01:07:51,320 --> 01:07:55,400
Speaker 2: or was a Masad asset. So I don't know, guys.

1312
01:07:55,520 --> 01:08:00,760
Speaker 2: I mean it just to me too, just the political stupidity.

1313
01:08:00,880 --> 01:08:05,680
Speaker 2: It's so so suspicious to be like on Eva bb Net,

1314
01:08:05,720 --> 01:08:07,960
Speaker 2: noawho coming to town while I'm having this fight with Elon

1315
01:08:08,040 --> 01:08:12,400
Speaker 2: and after my base has been really very interested in

1316
01:08:12,440 --> 01:08:14,480
Speaker 2: this whole case, to just be oh, nothing to see here,

1317
01:08:14,520 --> 01:08:16,680
Speaker 2: case closes, we're not giving you any evidence, and we're

1318
01:08:16,680 --> 01:08:19,479
Speaker 2: moving on after. By the way, we didn't play this up,

1319
01:08:19,479 --> 01:08:22,880
Speaker 2: but Pam Bonni had literally said just months ago, I

1320
01:08:23,000 --> 01:08:25,559
Speaker 2: had the Epstein client list on my desk.

1321
01:08:25,640 --> 01:08:26,839
Speaker 4: She said it on Fox News.

1322
01:08:27,000 --> 01:08:30,960
Speaker 2: On Fox News she says this, and you know, it

1323
01:08:31,040 --> 01:08:33,880
Speaker 2: indicates she's going through thousands of hours of material and

1324
01:08:33,920 --> 01:08:37,799
Speaker 2: it's all going to be revealed in the influencer Binder situation.

1325
01:08:37,920 --> 01:08:39,720
Speaker 2: That was just phase one, and she's going to get

1326
01:08:39,760 --> 01:08:42,439
Speaker 2: to it. And now she's gone from client list on

1327
01:08:42,479 --> 01:08:45,400
Speaker 2: my desk to there was no client list actually.

1328
01:08:45,280 --> 01:08:51,360
Speaker 4: And Cash Btel and Dan Bongino were pretty vocal members

1329
01:08:51,600 --> 01:08:55,559
Speaker 4: of the oh yeah, MAGA community, insisting that there was

1330
01:08:55,560 --> 01:08:58,840
Speaker 4: something weird about Epstein going on and that if they

1331
01:08:58,880 --> 01:09:03,240
Speaker 4: were putting government implications, that will come in and we'll

1332
01:09:03,840 --> 01:09:05,800
Speaker 4: be We're going to reveal the truth a parent and yeah,

1333
01:09:05,840 --> 01:09:06,839
Speaker 4: tell the public.

1334
01:09:06,920 --> 01:09:10,800
Speaker 2: Even though Trump himself was always very very squeamish, true

1335
01:09:10,880 --> 01:09:12,559
Speaker 2: country yes question.

1336
01:09:12,760 --> 01:09:16,120
Speaker 4: Rachel Campos Duffy asked him that question on Fox News,

1337
01:09:16,200 --> 01:09:18,800
Speaker 4: and you could see the squeamishist from Trump at that

1338
01:09:18,880 --> 01:09:21,040
Speaker 4: point where he said he was going to be open

1339
01:09:21,040 --> 01:09:24,800
Speaker 4: about RFK files and JFK files and MLK files and

1340
01:09:24,840 --> 01:09:27,920
Speaker 4: then Epstein, well, they will take a look at it.

1341
01:09:28,160 --> 01:09:30,000
Speaker 4: You'd have to go back and watch the video, but

1342
01:09:30,080 --> 01:09:32,439
Speaker 4: it was conspicuous at the time, and they.

1343
01:09:32,400 --> 01:09:34,120
Speaker 2: Edited it to make it look like he was just

1344
01:09:34,160 --> 01:09:37,840
Speaker 2: like yeah, but he goes, yeah, well we have to

1345
01:09:37,920 --> 01:09:40,200
Speaker 2: look and private people may be involved, and that's a

1346
01:09:40,200 --> 01:09:40,800
Speaker 2: tougher one.

1347
01:09:40,880 --> 01:09:41,599
Speaker 3: That's a tougher one.

1348
01:09:41,640 --> 01:09:43,920
Speaker 4: And he also people remember, as we're just like listing

1349
01:09:43,960 --> 01:09:46,840
Speaker 4: all of the interesting moments and connections from Trump World

1350
01:09:46,880 --> 01:09:51,840
Speaker 4: and Epstein world, he wished Gallaine Maxwell well when he

1351
01:09:51,880 --> 01:09:55,000
Speaker 4: got a question about her being in prison. This was

1352
01:09:55,040 --> 01:09:57,360
Speaker 4: I want to say, this was early twenty twenty, around

1353
01:09:57,400 --> 01:09:57,800
Speaker 4: that time.

1354
01:09:57,880 --> 01:09:59,960
Speaker 3: It was towards the end of his first administration.

1355
01:10:00,200 --> 01:10:03,000
Speaker 4: And then you have Cash Hotel going on, Joe Rogan

1356
01:10:03,479 --> 01:10:05,680
Speaker 4: and Dan Bungeno and Cash Hotel doing that joint. I

1357
01:10:05,680 --> 01:10:07,880
Speaker 4: think it was a Farm's News interview together looking like

1358
01:10:08,000 --> 01:10:13,280
Speaker 4: they were ash and faced and pale and just insisting

1359
01:10:13,800 --> 01:10:17,200
Speaker 4: that they absolutely there was nothing to see. No, they're there.

1360
01:10:18,120 --> 01:10:21,880
Speaker 4: I mean, it's just it's Chris. You started this spot

1361
01:10:21,920 --> 01:10:24,880
Speaker 4: by saying you couldn't write this. Technically, you could write this.

1362
01:10:24,960 --> 01:10:27,040
Speaker 4: It's just that everyone would be like they couldn't. They

1363
01:10:27,040 --> 01:10:29,840
Speaker 4: wouldn't be that dumb, right, It couldn't.

1364
01:10:29,479 --> 01:10:31,960
Speaker 3: Be that I do a little bit, a little bit

1365
01:10:31,960 --> 01:10:32,479
Speaker 3: better than this.

1366
01:10:32,920 --> 01:10:35,360
Speaker 4: You would think the strategy would just be to like

1367
01:10:35,520 --> 01:10:38,120
Speaker 4: not just say you're working on it. Yeah, just over

1368
01:10:38,160 --> 01:10:40,200
Speaker 4: and over say you're working on it, and it'll wear thin.

1369
01:10:40,479 --> 01:10:43,839
Speaker 4: But it's not a two term administration in all likelihood,

1370
01:10:45,200 --> 01:10:47,360
Speaker 4: just try to run out the clock. From a political

1371
01:10:47,520 --> 01:10:51,680
Speaker 4: cynical political strategy perspective, I can't even do that incredible

1372
01:11:02,080 --> 01:11:03,559
Speaker 4: boot to put