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Speaker 1: Happy Friday, everybody. I hope you guys had a great week.

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Speaker 1: I missed you, guys. What did I miss on the show?

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Speaker 1: What's been going on in the world?

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Speaker 2: Have you ever heard of Signal?

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Speaker 1: I'm learning I'm hearing about it more and more, actually

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Speaker 1: hearing about it more and more.

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Speaker 2: Ran and Sucker argued a little bit. Yeah.

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Speaker 1: I actually, to be totally honest with you, I watched

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Speaker 1: every show because I was I mean, so this is

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Speaker 1: where I realized actually the value of our show because

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Speaker 1: there was nowhere else that I would have been able

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Speaker 1: to go to like get a rundown of all the

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Speaker 1: stories that we cover and like the particular perspective and whatever.

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Speaker 3: So I was I valued it as a consumer this week.

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Speaker 4: It is true. It's like, yeah, that's nobody else is

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Speaker 4: doing that.

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Speaker 3: Yeah.

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Speaker 4: Yeah, and you know, after the first say, you know,

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Speaker 4: five minutes, sometimes you can move on to the next

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Speaker 4: one kind of get where we're going. But yeah, there's

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Speaker 4: nowhere else that really is going to and also give

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Speaker 4: you that level of depth that Jefferson Morley one went

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Speaker 4: really great.

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Speaker 3: Yeah, you know he was. I saw him tweeting this morning.

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Speaker 5: Ryan.

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Speaker 1: I don't know if you saw that or maybe it

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Speaker 1: was from yesterday, but I saw it this morning. He

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Speaker 1: was like, you know, I did a bunch of interviews

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Speaker 1: with various right wing outlets, but the one that really

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Speaker 1: tells the story best is the one that I did

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Speaker 1: with He specifically shouted out you and breaking points.

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Speaker 4: Cool.

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Speaker 3: Yeah, which was really cool.

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Speaker 4: Sports called it a must read or a must watch,

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Speaker 4: and oh really that gave it a boost.

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Speaker 3: Oh that's awesome. Yeah, that's awesome.

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Speaker 1: No, I thought you guys coverage the whole signal thing

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Speaker 1: was like the most you know, insightful that I could

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Speaker 1: find anywhere. And of course we've got a bunch more

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Speaker 1: updates on that one. There's a bunch of kind of

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Speaker 1: really interesting election updates. At least Stephonic is that how

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Speaker 1: you say.

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Speaker 3: Your last name? I always so discoured us.

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Speaker 1: She had her nomination for you an ambassador pulled because

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Speaker 1: it seems like they're nervous about losing that seat, which

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Speaker 1: is like a very should be easy to hold for

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Speaker 1: Republican but apparently it's not. And then, uh, we've got

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Speaker 1: some moves with regard to RFK Junior and cutting ten

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Speaker 1: ten thousand jobs over at AJS, which I want to

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Speaker 1: talk about as well. But Ryan, Let's start with this

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Speaker 1: because you kind of called this so apparently so when

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Speaker 1: you guys were doing coverage, you were like, you know,

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Speaker 1: with this whole signal Gate thing, very possible that in

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Speaker 1: these messages they burned some human intel source on the ground.

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Speaker 1: And now we're finding out that that appears to not

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Speaker 1: only be true, but it was actually at least one

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Speaker 1: Israeli source that they may have that they may have burned. Here,

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Speaker 1: go ahead and talk a little bit about this, and

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Speaker 1: I'll pull it up.

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Speaker 3: You're talking.

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Speaker 4: It's the exchange where Mike Waltz says something completely inscrutable.

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Speaker 3: Uh.

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Speaker 4: Jd Vance says what and Mike Waltz says, sorry, typing fast.

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Speaker 4: We have you know, positive ID that this terrorist or

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Speaker 4: the senior hoothy figure turned away some you know, some

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Speaker 4: senior figure in the missile program for the houthies was

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Speaker 4: in the apartment building that we just collapsed, like, so

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Speaker 4: they had a positive idea of that. And yeah, what

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Speaker 4: I had said yesterday morning on the show is that

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Speaker 4: the most likely way you get a positive ID on

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Speaker 4: something like that is from a person who is there

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Speaker 4: and who told you, hey, dude is in the building,

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Speaker 4: because just flying a drone over top of the building

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Speaker 4: is very unlikely to be able to give you that

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Speaker 4: level of intelligence like you need gate analysis and like

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Speaker 4: like they just can't pull that off, and they wouldn't

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Speaker 4: and they're like.

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Speaker 3: You don't think paleers figure that out.

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Speaker 5: They have not.

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Speaker 4: And also there'd be like a seven there'd be like

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Speaker 4: a seven second window where the guy's going from like

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Speaker 4: his car into the building where the drone would have

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Speaker 4: to be perfectly positioned, and even then like capturing it

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Speaker 4: in anything other than a kind of grainy like this

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Speaker 4: this idea that we all have from Mission Impossible where

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Speaker 4: we're like computer enhance, like that doesn't boom all of

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Speaker 4: a sudden match with everyone in the world boom and

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Speaker 4: you got it like that that's not actually a real thing.

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Speaker 4: So the way they actually do this is you have

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Speaker 4: a guy who you're paying and he is like narking

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Speaker 4: out to somebody. In this case, it was to Israel,

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Speaker 4: and then Israel's relaying back to the United States. And

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Speaker 4: so that was from reading the signal chat that was

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Speaker 4: the most obvious like explanation that there was a human

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Speaker 4: source that they had there, which means now the who

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Speaker 4: these and everybody else you know, Iranians whoever else are

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Speaker 4: trying to figure out, Okay, who do we know who?

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Speaker 4: Like is in that area that would have had access

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Speaker 4: to this information? You know, there may be people getting tortured,

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Speaker 4: like as we speak, trying trying to divine the identity

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Speaker 4: of this person. And so I'm a moron, I have

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Speaker 4: no security clearance, I've never worked in national security and

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Speaker 4: just looking at the signal chat, I could we know

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Speaker 4: of Well, that's right, that's right. I would say that now,

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Speaker 4: I would say that so if I can figure that out, like,

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Speaker 4: how can our national security advisor not think, oh, that

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Speaker 4: that's actually not something we should expose. Jeffrey Goldberg had

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Speaker 4: already done them a huge favor by not publishing the

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Speaker 4: chat where they all celebrated the collapsing of a building,

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Speaker 4: right by not posting the chat where they talked about

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Speaker 4: having a basically a human source on the ground, and

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Speaker 4: they baited him into posting it by calling him a liar,

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Speaker 4: like they basically forced him.

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Speaker 3: So he was trying to do them every favor he

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Speaker 3: possibly could.

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Speaker 5: He really was.

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Speaker 4: And if you're guilty, and you know you're guilty, you

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Speaker 4: could just go back and read your chats one of

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Speaker 4: those people. It's four week disappearing messages, they still had

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Speaker 4: the chats. You just go back and look at them,

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Speaker 4: be like, oh, this would actually be really bad for

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Speaker 4: us and for our source if this gets out. So

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Speaker 4: we're gonna apologize for this, say it was a huge mistake,

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Speaker 4: and we're going to move on. Instead, they're like, this

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Speaker 4: guy's a hoax liar who hacked his way onto our

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Speaker 4: signal chat and there was nothing classified.

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Speaker 1: There as contact sucked into Mike Waltson's and so they forced, Hey,

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Speaker 1: when that happens, he did not want.

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Speaker 4: To post that stuff because he is in line. We

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Speaker 4: will talk about this in a second. Was the objective,

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Speaker 4: which is to bomb the Hoothies? Yeah, which is why

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Speaker 4: it works. Just bomb them.

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Speaker 1: I mean, that's why he's in Mike Waltz's phone, because

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Speaker 1: they are simpatico on a bunch of like their neocon

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Speaker 1: war aims, and so you know, as even though one

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Speaker 1: is technically a Republican, one is technically liberal in this

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Speaker 1: sort of stuff, they are very much aligned, which is

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Speaker 1: likely how his contact got sucked into Mike Wilson's phone.

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Speaker 1: I mean it also, Emily, it just makes it not

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Speaker 1: that it wasn't already utterly preposterous, but like, obviously this

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Speaker 1: information was classified, and it's just insulting to all of

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Speaker 1: our intelligence to pretend that it wasn't, given that how

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Speaker 1: much they classify and overclassify absolutely everything, and you think

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Speaker 1: that the you know, location of this is rarely human

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Speaker 1: intelligence source is not going to be classified information like

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Speaker 1: this would be some of the most highly sensitive and

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Speaker 1: protected information. And it also to me, you know, one

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Speaker 1: of the you guys covered this ably, I mean fantastically

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Speaker 1: this week, and I don't have any points to make

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Speaker 1: that weren't already made quite adequately by you know, you

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Speaker 1: guys and Shagara on the show this week.

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Speaker 2: But like even the.

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Speaker 1: Inclusion of someone like Scott Besson on this show, like

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Speaker 1: why does the Treasury Secretary need to know about this?

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Speaker 1: And to me, the whole thing just gives like children

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Speaker 1: playing war games basically, you know, the whole tenor of it.

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Speaker 1: The lack of any sort of consideration that this is

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Speaker 1: a civilian building and you know, civilians who you've just

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Speaker 1: killed in service of this, The lack of any This

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Speaker 1: was the part that's making me crazy is like they're

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Speaker 1: they're all high fiving and like you know, sending their

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Speaker 1: little emoji celebrations over because the bomb went boom without

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Speaker 1: a single word of consideration whether this policy is actually

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Speaker 1: going to accomplish a single thing, the reason being that

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Speaker 1: they know what's not going to so it's like, what

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Speaker 1: are we even doing here? What are we doing here?

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Speaker 2: Jeffrey Goldberg also, I think, ends up looking foolish for

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Speaker 2: trying to have like kept this information quiet and then

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Speaker 2: being because in his original story he says something's the

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Speaker 2: extent where he's like, it was too it's too sensitive

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Speaker 2: to release, so I won't, and then after being goaded,

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Speaker 2: it's like, oh, okay, actually I guess I can do it. So,

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Speaker 2: you know, it's at the same time, like that's actually

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Speaker 2: what gave the Trump administration the permission. They feel like

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Speaker 2: they got the permission to like not pressure Mike Waltz

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Speaker 2: to leave. Is like they all were sending press releases

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Speaker 2: about Goldberg then releasing the information and they're like, well,

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Speaker 2: we can now spend this as fake news, as an

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Speaker 2: attack from Jeffrey Bill.

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Speaker 4: They all had, they all had the chat like they

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Speaker 4: knew they were.

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Speaker 2: It's stupid. Yeah, I mean, it's stupid, but it's like

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Speaker 2: from a political perspective, they were like, oh, we can

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Speaker 2: now jump on this. And that's what's kept Mike Waltz

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Speaker 2: in the role because he's that unique figure that is

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Speaker 2: like trusted by the national security establishment but also has

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Speaker 2: friends in MAGA world, and there aren't many people like that.

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Speaker 2: So he's one of those that's like, protect him at

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Speaker 2: all costs if you're in the national security world, because

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Speaker 2: they don't. They don't really trust a lot of the

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Speaker 2: other people in those circles.

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Speaker 1: But you know, I do think if Goldberg had immediately

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Speaker 1: released everything, which you know, as a journalist, I think

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Speaker 1: he should have, then they would have made the story

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Speaker 1: about like, how could you compromise this, you know, intelligence.

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Speaker 3: Story, how to you on the hook?

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Speaker 1: And he would be on the hook. So, I mean,

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Speaker 1: I think that was so. I think they could have

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Speaker 1: more successfully actually made the story about him if he

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Speaker 1: had gone ahead and released what truly is sensitive national

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Speaker 1: you know, security intelligence information speak of Goldberg though, I mean,

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Speaker 1: this is so this, this is so on the nose,

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Speaker 1: So he gets asked about the actual contents, not the

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Speaker 1: like process of using signal, which I don't want to

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Speaker 1: downplay because obviously and this is this is part that

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Speaker 1: I don't think has gotten maybe enough attention, not that

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Speaker 1: no one said it, but I do think it's important,

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Speaker 1: Like this is not the only time they're using signal.

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Speaker 1: Even Pam BONDI just got asked, why are you going

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Speaker 1: to keep using signal and she's like, yes, basically we are.

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Speaker 1: And I think this was actually part of Project twenty

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Speaker 1: twenty five. The reason to use signal is because you

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Speaker 1: evade FOYA requirements. So the journalists like Ryan and Ken

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Speaker 1: Clippenstein or whoever else wants to get their hands on,

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Speaker 1: like what the hell is actually going on here will

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Speaker 1: never be able to because the messages disappear and they're lost,

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Speaker 1: and that's it. So it's an attempt, a systematic attempt

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Speaker 1: to evade scrutiny and the FOYA legal requirements, which I

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Speaker 1: know is very like Pollyanna at this point to expecting

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Speaker 1: these people to like care about what the law is.

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Speaker 1: But that part is not, you know, it's not insignificant.

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Speaker 1: But Goldberg is much less comfortable when he's outside of

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Speaker 1: talking about like the failures of the process here and

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Speaker 1: is asked about the actual substance. So you can see

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Speaker 1: here he gets asked by NPR about the fifty three

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Speaker 1: people that the US killed in Yemen, and they say,

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Speaker 1: there's little talk of the fact that this attack killed

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Speaker 1: fifty three people, as we mentioned, including women and children,

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Speaker 1: the civilian toll of these American strikes. Are we bearing

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Speaker 1: the lead here? Goldberg says, well, those unfortunately, those aren't

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Speaker 1: confirmed numbers. Those are provided by the Huthis and the

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Speaker 1: Hoofi Health Ministry. I guess, so we don't know that

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Speaker 1: for sure. Yeah, I mean, obviously we're well, I don't

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Speaker 1: know if we're bearing the lead because obviously huge breaches

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Speaker 1: and national security and safety of information. That's a very

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Speaker 1: very important story, obviously, and one of the reasons, you

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Speaker 1: know it's a very important story is that the Republicans

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Speaker 1: themselves consider that to be an important story when it's

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Speaker 1: Hillary Clinton joined the deed, right, So that's obviously hugely important.

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Speaker 1: But yeah, I think that covering what's going on in Yemen,

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Speaker 1: the Arab and Iran back ter rist organization, the Hohothis

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Speaker 1: that are that are firing missiles at Israel and disrupting

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Speaker 1: global shipping and occupy half of Yemen and all kinds

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Speaker 1: of other things. In the US, you know, and the

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Speaker 1: Trump administration criticizing the Biden's response, and Europe wants Trump

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Speaker 1: to do more. I mean, yeah, there's there's a huge

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Speaker 1: story in Yemen, but Yemen is, as you know, is

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Speaker 1: one of the more inaccessible places for Western journalists. So

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Speaker 1: maybe this becomes like a substitute for a discussion of Yemen.

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Speaker 1: I don't know, Ryan, your response to that very eloquate explanation.

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Speaker 4: I mean, we have a we have a journalist and

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Speaker 4: Sunnah Shoib almost mil MASSI it's not it's not inaccessible.

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Speaker 4: People can go there. What is it inaccessible? Is Gaza?

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Speaker 4: I mean Western journalists completely banned from there. For Jeffrey

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Speaker 4: Goldberg to call what the houthis and occupying power when

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Speaker 4: he like recoils at the term occupation for Israel's occupation

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Speaker 4: is also wild. But yeah, the whole thing shows like

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Speaker 4: how blind the blind he is on this entire question,

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Speaker 4: Like it never occurred to him that the collapse of

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Speaker 4: this apartment building is a war crime, right, It never

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Speaker 4: dawned on him that there actually isn't any point in

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Speaker 4: this bombing that it's not going to end the blockade.

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Speaker 4: It's just it's just going to blow some things up

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Speaker 4: and it doesn't occur to him that all of these

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Speaker 4: f eighteen's and all of these tomahawks can fly at

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Speaker 4: this poor country in the middle of the night. But

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Speaker 4: the claim that they might kill fifty three people is,

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Speaker 4: you know, a preposterous claim made by the Hoothy run

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Speaker 4: health ministry. Do you think missiles do? And what do

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Speaker 4: you think bombs do when they land in the middle on.

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Speaker 1: An apartment building that collapse? Because yeah, he's you know,

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Speaker 1: seeing his girlfriend there or whatever. And I I mean,

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Speaker 1: I also like the Hoothy led health ministry. It's the

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Speaker 1: exact same language that he used to crowdit the Palestinian

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Speaker 1: Civilian detl in Gaza as the Hamas led health ministry.

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Speaker 1: It can never just be like here's how many people

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Speaker 1: were killed Emily. Another aspect, I'm genuinely curious what you

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Speaker 1: guys think of this is.

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Speaker 3: Like Trump hovers over this signal chat but like.

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Speaker 1: In a very bizarre way, like you know, jd Vance

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Speaker 1: is trying to make this very milk toast argument about like, oh,

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Speaker 1: we're doing too much for the Europeans. I'm not sure

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Speaker 1: Trump realizes how this is dissonant from his messaging with

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Speaker 1: regard to Europe, but it seems like they're all sort

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Speaker 1: of freelancing and doing what they want without actually having Trump,

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Speaker 1: you know, total buy in, or they're sort of like

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Speaker 1: projecting onto Trump what they think that he should be thinking.

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Speaker 1: And we've had now this series of series of questions

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Speaker 1: aimed at Trump, where Hill at least claim maybe he's

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Speaker 1: just pretending that he's like, oh, this is the first

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Speaker 1: I've heard of. This is the first I've heard of

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Speaker 1: that I don't even know what's going on there.

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Speaker 3: I don't know.

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Speaker 1: It just feels to me more more like he really

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Speaker 1: is more checked out of his own presidency, except on

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Speaker 1: the things like terrorists, you know, the things that he's

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Speaker 1: like directly interested in, but he's outsourced so much of

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Speaker 1: his presidency to Elon Musk, And then in this chat group,

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Speaker 1: it also felt like he was sort of, you know,

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Speaker 1: removed from what I think would be an important part

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Speaker 1: of his Middle Eastern policy here.

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Speaker 2: Well, that's one of the things that I think resonated,

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Speaker 2: or one of the reasons I think this signal chat

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Speaker 2: resonated so much is that it's the weird, very familiar

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Speaker 2: I think, like rhythm. If for anybody who works in

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Speaker 2: an office of people who are trying to collaborate on

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Speaker 2: a job and are like in different places and don't

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Speaker 2: have time for like a full meeting together. Except applied

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Speaker 2: to life and death foreign policy, it's a very strange thing,

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Speaker 2: and it sounds like you're reading it without having all

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Speaker 2: of the context from the inside. It sounds like Hegseeth

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Speaker 2: and Waltz somehow secured byan from Trump and are just

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Speaker 2: executing the policy. And JD. Vance is saying, well, when

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Speaker 2: the President gave the green light, I don't think we

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Speaker 2: fully fleshed out the implications of this decision. And it

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Speaker 2: is true that the lead has been buried this entire week.

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Speaker 2: I interviewed Christian Parenti yesterday and he was talking about

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Speaker 2: how this is a significant departure from the foreign policy

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Speaker 2: that Donald Trump ran on. This is a war that

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Speaker 2: he explicitly came out against, and here you see, very

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Speaker 2: casually in a group chat, that war being perpetuated with

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Speaker 2: his blessing, but not with his direct involvement. Instead with

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Speaker 2: a direct involvement of Stephen Miller, Susy Wiles, and then

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Speaker 2: a sort of limp thumbs up from JD. Vance, who

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Speaker 2: buckles when he realizes that it's going to be a

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Speaker 2: big thing if he wants to be like the stick

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Speaker 2: in the mud or the like to actually like obstruct

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Speaker 2: this process. So it's very very strange to try and

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Speaker 2: figure out what role Trump exactly played in this debate,

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Speaker 2: if there was a debate at all. It does seem

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Speaker 2: like jd Vance is implying in his point that there

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Speaker 2: hasn't been a significant conversation that the President doesn't fully

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Speaker 2: realize his side of the argument, and that's very strange.

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Speaker 4: Yeah, yeah, the debate. The debate gets ended by Steven Miller,

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Speaker 4: who comes in and as Deputy chief of staff, like that,

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Speaker 4: he is the guy who, on behalf of the principle

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Speaker 4: in any office and including the presidency, you know, would

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Speaker 4: have the authority to like ended the debate by saying, hey, guys, ever,

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Speaker 4: glad to hear everybody's input. I've heard from the boss.

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Speaker 4: The boss says, this is the judgment call, Like that

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Speaker 4: is that's how these offices go. He didn't quite say that, though, Oops,

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Speaker 4: that's a Jordan Sheridan's livestream just started, So he didn't

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Speaker 4: quite say that. He said, my understanding from our conversation

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Speaker 4: with him basically was that this is a green light

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Speaker 4: and then everybody's like, Okay, well let's go. It reminded

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Speaker 4: me of there's this and producer Griffin, who's listening in here,

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Speaker 4: would would remember this story. There's this like scene early

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Speaker 4: in Lenin's Tyranny where he like crosses off a few

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Speaker 4: names on a list in a meeting. Okay, because they

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Speaker 4: were done, you know this story, because they were done

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Speaker 4: talking about them, yes, And like he moves the papers

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Speaker 4: over here. I think Berea or whoever his hit man

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Speaker 4: at the time was like collects these papers and he

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Speaker 4: sees these like names crossed off that night, rounds them

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Speaker 4: up and executes them. And the next day Lennon's like,

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Speaker 4: what happened where these people? He's like, you told me

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Speaker 4: to kill them? He's like, no, bro, Like I was

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Speaker 4: just like doodling on the paper.

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Speaker 3: Oh my god.

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Speaker 4: Which is why you need some processes in place when

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Speaker 4: you're going to kill people. It can't be Stephen Miller

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Speaker 4: divining what Trump might have been saying in a meeting,

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Speaker 4: like Trump needs to like be told direct, like, hey,

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Speaker 4: here are the plans, like choose one of them, press

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Speaker 4: the button sign here, like do this, so it's very

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Speaker 4: clear you guys all have all seen Trump speak for

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Speaker 4: forty years. He's not that clear, right, people can read

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Speaker 4: into what he's saying what they want to hear. Yeah,

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Speaker 4: so we could then kill people based on that. Based

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Speaker 4: on that is like Soviet level insane.

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Speaker 1: I can imagine, like if this was a e lait

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Speaker 1: chat from the Biden administration and you've got Sullivan and

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Speaker 1: Blincoln and whoever else.

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Speaker 3: You know, random members.

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Speaker 4: I think we think John.

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Speaker 1: Harris, you know, like I think he's misunderstanding this. No,

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Speaker 1: I think this is what he really wants. I mean,

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Speaker 1: you know, that would the way that would be interpreted,

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Speaker 1: and I think justly so is like this guy is

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Speaker 1: not really the president, like he's you know, these are

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Speaker 1: the people who are actually making the decisions.

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Speaker 3: They don't even.

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Speaker 1: They can't even really tell what he thinks, and don't

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Speaker 1: really care what he things. Ultimately, they're like making their

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Speaker 1: own calls in this very ad hoc signal chat group,

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Speaker 1: which to your point, Emily, you know, Telci Gabber gets

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Speaker 1: asked about, hey, where were you when this She's like,

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Speaker 1: I don't really remember, which is probably just a dodge

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Speaker 1: because she wants to dodge accountability.

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Speaker 3: But it definitely had the vibe of.

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Speaker 1: Like you're doing eight other things and washing the dishes

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Speaker 1: and like just you know, respect, like let me throw

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Speaker 1: an a emoji so they know that I'm like paying

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Speaker 1: attention to what's going on here. And we're talking about

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Speaker 1: collapsing an apartment building with fifty civilians in or however

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Speaker 1: many people were ultimately killed. And so that's the part

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Speaker 1: of it about it that to me is so it's

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Speaker 1: just deeply disturbing. And then Ryan, you were pointing out

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Speaker 1: this like the just insanity of them all being.

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Speaker 3: Oh, great job. Jd.

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Speaker 1: Van says, oh, excellent. That's when some like you know,

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Speaker 1: fift pound emojis come in or whatever. Once they found

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Speaker 1: out they collapse this apartment building, it's like, you know,

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Speaker 1: you accomplished nothing other than death. And to show you're

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Speaker 1: like patting yourselves on the back for this policy that

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Speaker 1: it's the same policy as the Biden administration, which we

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Speaker 1: already know doesn't work. Like we already know what does work,

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Speaker 1: which is the ceasefire, which you guys just greenlit Israel

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Speaker 1: to end and go back to total siege and complete bombardment.

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Speaker 3: So that's the part that too.

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Speaker 1: It's like, you know, these people have lost their minds

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Speaker 1: actually like to live in this delusion like you deserve

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Speaker 1: congratulations for this in any sort of way. Is the

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Speaker 1: part that I just keep coming back to as being

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Speaker 1: completely and utterly insane, not to mention just the you know,

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Speaker 1: full normalizing of there's no like, oh, well, how many

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Speaker 1: civilians are there nothing, It's just and I do think

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Speaker 1: this is partly a Gaza effect where murdering civilians, not

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Speaker 1: that we haven't murdered plenty of civilians.

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Speaker 3: In the past, et cetera.

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Speaker 1: I'm not trying to whitewash the war on terror and

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Speaker 1: how everything went in Iraq, in Afghanistan, et cetera. But

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Speaker 1: there's not even a thought of what is the collateral

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Speaker 1: damage here? And we all know how in the Osama

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Speaker 1: bin Lana raid, how they took a riskier maneuver in

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Speaker 1: order to avoid civilian collateral damage because those were things

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Speaker 1: that were at least considered at the time for a

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Speaker 1: vastly higher level target than whoever this dude you know

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Speaker 1: that they allegedly killed, was and and it's just it's

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Speaker 1: grotesque to see like the value of human life has

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Speaker 1: just been utterly discarded here.

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Speaker 4: Yeah, today they would just drop a nuke on a badabad.

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Speaker 4: That's right, and be like we think we killed him.

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Speaker 1: Yeah, that's that's exactly right, that's exactly right. The found

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Speaker 1: emoji American flag firectory.

436
00:22:36,640 --> 00:22:41,080
Speaker 2: Victory is ours always yeah, always relevant. But Ryan, when

437
00:22:41,080 --> 00:22:43,800
Speaker 2: you were pulling up that Intercept article you wrote about

438
00:22:43,800 --> 00:22:47,720
Speaker 2: Biden and the these, it just I was thinking, the

439
00:22:47,760 --> 00:22:52,360
Speaker 2: Trump administration campaigned on being sort of different from the

440
00:22:52,440 --> 00:22:57,880
Speaker 2: forever wars neo conservative foreign policy establishment, and what we

441
00:22:57,920 --> 00:23:04,840
Speaker 2: see in this incident is how dangerous. Yeah are they

442
00:23:04,880 --> 00:23:07,320
Speaker 2: stopping these No? Are they going to to continue?

443
00:23:07,520 --> 00:23:10,119
Speaker 1: Yes, which is very trumpy and honestly, you could hear

444
00:23:10,200 --> 00:23:11,000
Speaker 1: Trump saying that.

445
00:23:11,040 --> 00:23:14,680
Speaker 2: Right, oh yeah, oh yeah. But it's just like war

446
00:23:14,760 --> 00:23:19,000
Speaker 2: by drone is we've slipped into this era of war

447
00:23:19,080 --> 00:23:23,679
Speaker 2: by drone things so Obama, but uh, there's nothing different

448
00:23:23,800 --> 00:23:27,359
Speaker 2: about the Trump policy. There's nothing different about the way

449
00:23:27,440 --> 00:23:30,840
Speaker 2: that Pete hag Seth and Mike Waltz are approaching war

450
00:23:30,880 --> 00:23:34,800
Speaker 2: by drone. It's as casual and it's it's like, if

451
00:23:35,520 --> 00:23:37,160
Speaker 2: I don't know, I think that's what they campaigned against.

452
00:23:37,200 --> 00:23:40,719
Speaker 2: I think that's what brought you know, this like strange

453
00:23:40,720 --> 00:23:44,240
Speaker 2: coalition of people together, and it's just slipping into the

454
00:23:44,240 --> 00:23:45,080
Speaker 2: same routine.

455
00:23:45,240 --> 00:23:47,520
Speaker 3: Well, in the Hagstad point is an important one.

456
00:23:47,440 --> 00:23:50,760
Speaker 1: Because we were sold, oh, he is a different guy

457
00:23:51,280 --> 00:23:53,600
Speaker 1: than the one who was out there making his career

458
00:23:53,600 --> 00:23:56,680
Speaker 1: on cheerleading for the Rock War, the guy who was

459
00:23:56,760 --> 00:24:00,840
Speaker 1: cheerleading the Ukraine War, you know, the guy who came

460
00:24:00,920 --> 00:24:03,479
Speaker 1: around to opposing the Iraq War. Like I don't know,

461
00:24:03,520 --> 00:24:06,040
Speaker 1: five years ago, after Hillary Clinton and everybody else had

462
00:24:06,040 --> 00:24:08,560
Speaker 1: already changed their minds, he was still like, go Iraq War.

463
00:24:10,119 --> 00:24:12,359
Speaker 1: So we had been sold that he'd had this total

464
00:24:12,400 --> 00:24:16,800
Speaker 1: ideological remake. Well, it's very easy to oppose a war

465
00:24:16,960 --> 00:24:20,480
Speaker 1: after that war has become profoundly unpopular, either among the

466
00:24:20,480 --> 00:24:24,960
Speaker 1: broader public or with the Ukraine War among the Republican base.

467
00:24:25,400 --> 00:24:27,600
Speaker 1: It's a much different thing too in real time, when

468
00:24:27,600 --> 00:24:30,400
Speaker 1: it's difficult, when it's unpopular, say no, I don't think

469
00:24:30,400 --> 00:24:32,920
Speaker 1: that this serves, you know, from their perspective, like America first,

470
00:24:32,920 --> 00:24:35,080
Speaker 1: I don't think this serves American interests. What are we

471
00:24:35,160 --> 00:24:37,400
Speaker 1: doing here? This is not what we campaign on, etc.

472
00:24:38,160 --> 00:24:41,560
Speaker 1: And to me, what comes out in this chat is that, like,

473
00:24:41,640 --> 00:24:45,119
Speaker 1: the skepticism of his evolution is quite warranted. This is

474
00:24:45,160 --> 00:24:49,320
Speaker 1: still the guy who is totally ready to you know,

475
00:24:49,680 --> 00:24:52,919
Speaker 1: drop a bomb or go to war or whatever. Is

476
00:24:53,000 --> 00:24:55,280
Speaker 1: the sort of like, you know, popular.

477
00:24:54,840 --> 00:24:55,720
Speaker 3: Thing in the moment.

478
00:24:56,200 --> 00:24:58,679
Speaker 1: He is not the one who's going to be planning

479
00:24:58,680 --> 00:25:02,800
Speaker 1: a flag and making the difficult case because you know, again,

480
00:25:02,840 --> 00:25:06,560
Speaker 1: I think Jady Vans's argument here was sort of silly

481
00:25:06,720 --> 00:25:10,840
Speaker 1: and like besides the point and whatever, but he should

482
00:25:10,840 --> 00:25:14,720
Speaker 1: have had an ally in that chat in Pete Hagsatt saying,

483
00:25:14,720 --> 00:25:16,600
Speaker 1: you know, Jad makes some good points and here's some

484
00:25:16,640 --> 00:25:19,760
Speaker 1: other things to consider, et cetera. Instead, it's the total opposite.

485
00:25:19,880 --> 00:25:22,480
Speaker 1: Jady quickly realizes like, I'm the only one here who

486
00:25:22,520 --> 00:25:24,280
Speaker 1: has any qualms about it, so I'm just going to

487
00:25:24,400 --> 00:25:25,840
Speaker 1: immediately capitulate and stand out.

488
00:25:25,880 --> 00:25:29,119
Speaker 4: And and Tulsi and Joe Kent like there should have

489
00:25:29,160 --> 00:25:31,880
Speaker 4: been there should have been four, and.

490
00:25:31,880 --> 00:25:35,080
Speaker 3: Maybe Wick Cough, I mean maybe.

491
00:25:35,080 --> 00:25:37,760
Speaker 4: You know Wick Cough. Yeah, if he was like traveling

492
00:25:37,760 --> 00:25:39,360
Speaker 4: and checked out and it was.

493
00:25:39,280 --> 00:25:43,880
Speaker 2: A Moscow Ryan. I think we talked about this on Wednesday.

494
00:25:43,920 --> 00:25:47,440
Speaker 2: But it's interesting in the chat how Pete Hagsas says

495
00:25:47,480 --> 00:25:49,800
Speaker 2: his point of contact, which was originally the point of

496
00:25:50,240 --> 00:25:53,040
Speaker 2: the chat that Mike Waltz put together, was Dan Caldwell

497
00:25:53,080 --> 00:25:56,399
Speaker 2: and Dan Caldwell comes from the very like skeptical world

498
00:25:56,640 --> 00:26:01,520
Speaker 2: of Forever Wars, and so you have this strange I

499
00:26:01,520 --> 00:26:04,359
Speaker 2: guess it is just strange to see people who have

500
00:26:04,560 --> 00:26:08,800
Speaker 2: talked a lot of talk then come into the administration

501
00:26:09,080 --> 00:26:12,359
Speaker 2: and in a very early test, fall into old habits.

502
00:26:12,600 --> 00:26:15,359
Speaker 4: It shows the power of the war machine, the momentum

503
00:26:15,359 --> 00:26:18,639
Speaker 4: of the momentum of the war machine. It's like the

504
00:26:18,680 --> 00:26:22,040
Speaker 4: two parties now would be the Democrats, who like you know,

505
00:26:22,040 --> 00:26:24,199
Speaker 4: feel guilty about dropping the bombs and are doing it

506
00:26:24,200 --> 00:26:28,240
Speaker 4: for humanitarian purposes, and then the MAGA who's dropping the

507
00:26:28,240 --> 00:26:30,000
Speaker 4: bombs but is angry that they have to do it

508
00:26:30,040 --> 00:26:34,040
Speaker 4: for Europe. Really, those are those your choices?

509
00:26:34,280 --> 00:26:37,040
Speaker 3: Yes, choose wisely America.

510
00:26:37,119 --> 00:26:42,000
Speaker 1: Yes, So let's just quickly touch on the politics of this,

511
00:26:42,200 --> 00:26:44,480
Speaker 1: which is, you know, I mean, it's all of the

512
00:26:44,560 --> 00:26:47,439
Speaker 1: insane things that have happened in this administration, you know,

513
00:26:47,840 --> 00:26:54,400
Speaker 1: and doge and tariffs and inflation all everything, right, and

514
00:26:54,680 --> 00:26:57,160
Speaker 1: this seems to be the scandal that has like really

515
00:26:57,200 --> 00:27:02,400
Speaker 1: broken through for whatever reason. Harry Enton did a bit

516
00:27:02,520 --> 00:27:04,800
Speaker 1: on some of the polling around this, so let's go

517
00:27:04,800 --> 00:27:06,560
Speaker 1: ahead and take a listen to what he had to

518
00:27:06,560 --> 00:27:07,160
Speaker 1: say about it.

519
00:27:07,920 --> 00:27:10,520
Speaker 6: There's a lot of interest in this story, right. Google

520
00:27:10,560 --> 00:27:13,000
Speaker 6: searches this week versus last week for these topics. For

521
00:27:13,080 --> 00:27:15,720
Speaker 6: the Atlantic, how many people are searching for the Atlantic

522
00:27:15,840 --> 00:27:19,600
Speaker 6: up nine hundred percent, the highest on record since Google

523
00:27:19,600 --> 00:27:22,240
Speaker 6: searches began they started tracking them back in two thousand

524
00:27:22,240 --> 00:27:24,320
Speaker 6: and four. How about for Signal, of course, the app

525
00:27:24,320 --> 00:27:27,280
Speaker 6: on which this all occurred, up over one thousand percent,

526
00:27:27,480 --> 00:27:29,800
Speaker 6: again the highest on record.

527
00:27:29,880 --> 00:27:32,080
Speaker 5: It has gone up through the roof on. These were

528
00:27:32,160 --> 00:27:33,280
Speaker 5: two particular topics.

529
00:27:33,480 --> 00:27:35,639
Speaker 7: Whether or not people openly end up caring and it

530
00:27:35,720 --> 00:27:38,000
Speaker 7: changes their minds about the administration, that's one thing. But

531
00:27:38,080 --> 00:27:40,960
Speaker 7: the interest that this particular point is absolutely there.

532
00:27:41,000 --> 00:27:42,000
Speaker 5: People are interested in.

533
00:27:41,880 --> 00:27:44,280
Speaker 8: This story right beyond the interest their take on it.

534
00:27:44,760 --> 00:27:47,960
Speaker 8: You don't read that into Google search, but there is interest,

535
00:27:48,000 --> 00:27:52,280
Speaker 8: absolutely absolutely. Trump's cabinet, obviously, many of them are on

536
00:27:52,320 --> 00:27:54,920
Speaker 8: this group chat. Many of them are facing a lot

537
00:27:54,960 --> 00:27:59,000
Speaker 8: of scrutiny and questions right now. Trump's cabinet to this point,

538
00:27:59,040 --> 00:28:01,480
Speaker 8: before this, he was already on somewhat I don't know,

539
00:28:01,480 --> 00:28:02,280
Speaker 8: we call it finn Ice.

540
00:28:02,320 --> 00:28:05,880
Speaker 7: Yeah, the American people, yeah, absolutely, I mean here we go,

541
00:28:06,280 --> 00:28:10,159
Speaker 7: all right, disappointed with the administration appointments of these different presidents.

542
00:28:10,240 --> 00:28:13,240
Speaker 7: You might notice only one of these presidents, only one

543
00:28:13,240 --> 00:28:16,200
Speaker 7: of these terms that were a majority disappointed. Look at this,

544
00:28:16,320 --> 00:28:20,120
Speaker 7: in twenty twenty five, fifty two percent were already disappointed

545
00:28:20,119 --> 00:28:22,560
Speaker 7: with Donald Trump's picks for his administration.

546
00:28:22,760 --> 00:28:24,520
Speaker 5: That is the first time you get a majority.

547
00:28:24,640 --> 00:28:26,760
Speaker 7: Back in twenty seventeen, it was only forty four percent

548
00:28:26,760 --> 00:28:29,840
Speaker 7: for Donald Trump. Before that, you see sixteen seventeen fourteen,

549
00:28:30,160 --> 00:28:32,680
Speaker 7: Joe Biden's picks were not in fact pole but less

550
00:28:32,720 --> 00:28:35,359
Speaker 7: than forty percent disapproved in separate pu poland So the

551
00:28:35,400 --> 00:28:38,240
Speaker 7: bottom line is, even going into this, there was already

552
00:28:38,280 --> 00:28:41,880
Speaker 7: a lot of skepticism about Donald Trump's picks for his cabinet,

553
00:28:41,920 --> 00:28:44,400
Speaker 7: for his appointments. There's no doubt in my mind that

554
00:28:44,440 --> 00:28:47,240
Speaker 7: this number will almost certainly take a little bit upwards

555
00:28:47,360 --> 00:28:49,320
Speaker 7: because we already were dealing with the public that was

556
00:28:49,400 --> 00:28:50,160
Speaker 7: quite skeptical.

557
00:28:50,320 --> 00:28:51,880
Speaker 5: This story can only make things.

558
00:28:51,640 --> 00:28:53,400
Speaker 3: Worse, kake, So there you go.

559
00:28:53,480 --> 00:28:56,440
Speaker 1: I mean, the interest in this has been really high,

560
00:28:56,480 --> 00:28:59,240
Speaker 1: and I do think it gets to what Emily was

561
00:28:59,280 --> 00:29:02,600
Speaker 1: saying about how in a sense it's kind of a

562
00:29:02,640 --> 00:29:08,280
Speaker 1: relatable scandal, but then with this like bizarrely dystopian, like,

563
00:29:08,800 --> 00:29:10,600
Speaker 1: you know, it just makes you realize like, oh, these

564
00:29:10,600 --> 00:29:14,560
Speaker 1: people are not really They're not doing some sophisticated, like

565
00:29:14,720 --> 00:29:18,680
Speaker 1: brilliant analysis. It's not really thought through. There's no like

566
00:29:18,800 --> 00:29:21,840
Speaker 1: gaming this out. They're approaching this the same way that

567
00:29:21,920 --> 00:29:24,320
Speaker 1: I approach like planning my kid the snacks for my

568
00:29:24,400 --> 00:29:26,800
Speaker 1: kid's soccer game or whatever, like what the hell is

569
00:29:26,840 --> 00:29:27,520
Speaker 1: going on here?

570
00:29:28,040 --> 00:29:30,360
Speaker 4: And accidentally adding people to the chat. And Emily, I

571
00:29:30,360 --> 00:29:33,480
Speaker 4: missed you on the show yesterday because I mentioned that

572
00:29:33,680 --> 00:29:37,160
Speaker 4: Andy Cohen made a joke about signal Gate on Watch

573
00:29:37,560 --> 00:29:41,640
Speaker 4: What Happens Live on Wednesday Night with no context because

574
00:29:41,680 --> 00:29:46,600
Speaker 4: he knew no context was needed. Everybody watching Bravo is

575
00:29:47,160 --> 00:29:50,480
Speaker 4: deeply familiar with what's going on. It's and that's that's

576
00:29:50,480 --> 00:29:55,360
Speaker 4: how you can measure full full like absorption into the public.

577
00:29:55,840 --> 00:30:00,680
Speaker 2: Jeffrey Goldberg did what some of the most his housewives

578
00:30:00,680 --> 00:30:03,360
Speaker 2: do at a reunion and printed out the text messages.

579
00:30:03,440 --> 00:30:13,240
Speaker 2: This essentially what Jeffrey Goldberg did, receipts text line screenshots. Yeah,

580
00:30:13,280 --> 00:30:16,720
Speaker 2: so yeah, he Maybe Jeffrey Goldberg watches. Maybe he that's

581
00:30:16,760 --> 00:30:18,720
Speaker 2: where he took his cue from when they were trying

582
00:30:18,720 --> 00:30:22,680
Speaker 2: to get to the Lucy Apple juice, the puppy and

583
00:30:22,760 --> 00:30:25,360
Speaker 2: Beverly Hills, and they printed out the text messages and

584
00:30:25,360 --> 00:30:27,320
Speaker 2: brought them to the reunion. We're very off track.

585
00:30:27,400 --> 00:30:30,440
Speaker 3: Now, you're completely losing me at this point. But more

586
00:30:30,680 --> 00:30:32,480
Speaker 3: much of the audience knows what you're talking about.

587
00:30:32,520 --> 00:30:41,920
Speaker 4: Even hold on, let me let me share this there

588
00:30:41,960 --> 00:30:42,520
Speaker 4: it is.

589
00:30:46,720 --> 00:30:48,160
Speaker 2: Receipts prove.

590
00:30:49,440 --> 00:30:49,920
Speaker 1: Time on.

591
00:30:55,440 --> 00:30:56,720
Speaker 2: I'm glad you did that, right.

592
00:30:56,800 --> 00:31:02,080
Speaker 3: That was perfect. That was perfect. Yeah, so I don't know.

593
00:31:02,280 --> 00:31:05,640
Speaker 1: It's just the other thing that the last thing I'll

594
00:31:05,640 --> 00:31:07,920
Speaker 1: say about it is like they have handled it in

595
00:31:07,920 --> 00:31:10,680
Speaker 1: the worst possible way. You know, if they had done

596
00:31:10,880 --> 00:31:13,400
Speaker 1: if they had just been like, yeah, we fucked up,

597
00:31:13,800 --> 00:31:17,800
Speaker 1: next question, you know, like then this would be over

598
00:31:18,240 --> 00:31:21,640
Speaker 1: because there's nothing interesting to a reporter after you've sort

599
00:31:21,680 --> 00:31:24,240
Speaker 1: of like admitted it, then everybody just moves on. There's

600
00:31:24,280 --> 00:31:26,320
Speaker 1: nothing more to like get you on, Like, oh, you

601
00:31:26,360 --> 00:31:28,880
Speaker 1: said you didn't know Jeffrey Goldwi, here's a picture of you.

602
00:31:28,960 --> 00:31:31,880
Speaker 1: Like Jeffrey Goldberg now has like I'm sure he could

603
00:31:31,880 --> 00:31:34,040
Speaker 1: come out with all sorts of other proof that they

604
00:31:34,080 --> 00:31:37,280
Speaker 1: knew each other, et cetera. And so it just like

605
00:31:37,400 --> 00:31:41,800
Speaker 1: it keeps them going, It keeps the story alive. And

606
00:31:42,120 --> 00:31:45,040
Speaker 1: if I fully think that even though this is a

607
00:31:45,080 --> 00:31:48,280
Speaker 1: totally insane thing to happen. Jeffrey Goldberg to Ryan Swoe,

608
00:31:48,400 --> 00:31:50,760
Speaker 1: was trying to protect them as best he could. He

609
00:31:50,840 --> 00:31:53,480
Speaker 1: did not want to release these things. If you had

610
00:31:53,520 --> 00:31:56,680
Speaker 1: just been like, we screwed up. We're gonna make sure

611
00:31:56,840 --> 00:31:59,480
Speaker 1: we lock it down. This will never happen again. And

612
00:31:59,520 --> 00:32:01,000
Speaker 1: by the way, you know, I mean, I do think

613
00:32:01,040 --> 00:32:03,600
Speaker 1: Mike Waltz should have should resign and be forced out,

614
00:32:03,720 --> 00:32:05,920
Speaker 1: Like it's such a big fuck up that if that happened,

615
00:32:05,920 --> 00:32:08,200
Speaker 1: I think it would be done over and everybody would

616
00:32:08,240 --> 00:32:13,080
Speaker 1: have moved on by now. But because they keep insisting

617
00:32:13,240 --> 00:32:15,960
Speaker 1: on making these ridiculous Oh that got sucked into my

618
00:32:16,000 --> 00:32:19,080
Speaker 1: phone and no, actually, like somehow Goldberg hacked in and

619
00:32:19,160 --> 00:32:22,040
Speaker 1: oh nothing was classified, and oh they weren't war plans,

620
00:32:22,080 --> 00:32:24,720
Speaker 1: they were attack plans whatever like it.

621
00:32:24,960 --> 00:32:26,760
Speaker 3: Just of course people are going to keep.

622
00:32:26,640 --> 00:32:31,280
Speaker 1: Digging and catching you in the brazen lies and insults

623
00:32:31,280 --> 00:32:33,120
Speaker 1: to all of our intelligences.

624
00:32:32,560 --> 00:32:37,040
Speaker 2: Here, Mike Waltz. I think what the reporting suggests is

625
00:32:37,040 --> 00:32:40,240
Speaker 2: that Waltz did not offer to resign, and Trump is

626
00:32:40,320 --> 00:32:42,400
Speaker 2: kind of on the fence and is frustrated about it.

627
00:32:42,440 --> 00:32:45,600
Speaker 2: But Walts didn't offer to resign. And it seems like

628
00:32:45,720 --> 00:32:48,600
Speaker 2: Walts does not want to take an L and that's

629
00:32:48,640 --> 00:32:53,040
Speaker 2: where the disastrous response probably starts and ends, because he

630
00:32:53,080 --> 00:32:57,000
Speaker 2: then goes on Laura Ingram looking pretty confident, feeling like

631
00:32:57,040 --> 00:33:01,080
Speaker 2: he can handle this, and Laura Ingram grills him because

632
00:33:01,280 --> 00:33:03,200
Speaker 2: what she's concerned about is what a lot of people

633
00:33:03,240 --> 00:33:05,800
Speaker 2: in Maga world are concerned about, who don't trust Mike

634
00:33:05,800 --> 00:33:08,560
Speaker 2: Waltz and never have t really fully trusted Mike Waltz.

635
00:33:08,600 --> 00:33:11,560
Speaker 2: They trust more than they trust Mike Pompeo and those types.

636
00:33:11,600 --> 00:33:14,080
Speaker 2: But they're like, well, why do you have this number

637
00:33:14,120 --> 00:33:17,080
Speaker 2: in your phone? And he has no good explanation for that.

638
00:33:17,600 --> 00:33:19,960
Speaker 2: There could be terrible explanations, by the way, from a

639
00:33:20,000 --> 00:33:22,480
Speaker 2: Maga perspective, maybe he's trying to shut down stories, maybe

640
00:33:22,560 --> 00:33:25,440
Speaker 2: Jeffrey Goldberg, Like there's all kinds of reasons that he

641
00:33:25,480 --> 00:33:27,360
Speaker 2: could have Jeffrey Goldberg's umber in his phone, but he

642
00:33:27,360 --> 00:33:30,200
Speaker 2: doesn't have a good answer for it, and so because

643
00:33:30,240 --> 00:33:32,960
Speaker 2: of that, he couldn't be honest. And you can't get

644
00:33:33,000 --> 00:33:36,680
Speaker 2: away with lying over and over again or trying to

645
00:33:36,760 --> 00:33:40,200
Speaker 2: evade the truth over and over again without looking foolish,

646
00:33:40,280 --> 00:33:42,640
Speaker 2: and he's ended up looking completely folish. He got caught

647
00:33:43,000 --> 00:33:46,760
Speaker 2: and the administration now has this albatross of Mike Waltz,

648
00:33:46,800 --> 00:33:49,880
Speaker 2: even though the neo cons are right it was Pete

649
00:33:49,880 --> 00:33:54,400
Speaker 2: Hegseeth who then started throwing all of this classified information

650
00:33:54,800 --> 00:33:57,880
Speaker 2: into the chats Like it wasn't just Mike Waltz, they

651
00:33:57,880 --> 00:34:00,720
Speaker 2: all And yet, by the way, the other thing to

652
00:34:00,840 --> 00:34:03,560
Speaker 2: the other point to make to this is nobody cared

653
00:34:03,640 --> 00:34:06,440
Speaker 2: that Pete Hegseth was sharing the classified information, right, Like,

654
00:34:06,480 --> 00:34:09,200
Speaker 2: if this was shocking to everybody and something they'd never

655
00:34:09,239 --> 00:34:11,600
Speaker 2: seen before, a lot of people would be like, hey,

656
00:34:11,719 --> 00:34:14,440
Speaker 2: let's hold But no, It's like, it's hard to actually

657
00:34:14,480 --> 00:34:17,920
Speaker 2: even blame Headseth because everyone was clearly accustomed to this

658
00:34:18,040 --> 00:34:20,400
Speaker 2: and normalized to it. It wasn't It didn't seem to

659
00:34:20,440 --> 00:34:23,680
Speaker 2: shock anybody or surprise anybody. They probably have been doing

660
00:34:23,680 --> 00:34:27,040
Speaker 2: this many other times that we just haven't seen. So yeah,

661
00:34:27,719 --> 00:34:29,759
Speaker 2: no heads are going to end up rolling. But I

662
00:34:29,760 --> 00:34:33,040
Speaker 2: mean maybe maybe Walts is forced to resign. His credibility

663
00:34:33,120 --> 00:34:36,840
Speaker 2: internally has been damaged beyond repair. He will never be

664
00:34:36,880 --> 00:34:40,000
Speaker 2: fully trusted by any like most people inside the administration. Again,

665
00:34:40,280 --> 00:34:42,359
Speaker 2: he looks stupid to a lot of people who will

666
00:34:42,360 --> 00:34:46,000
Speaker 2: have a hard time taking your national security advisor seriously

667
00:34:46,160 --> 00:34:49,680
Speaker 2: if he can't even keep a group chat locked down.

668
00:34:50,160 --> 00:34:53,319
Speaker 1: There was some DHS staffer who had accidentally included a

669
00:34:53,360 --> 00:34:58,160
Speaker 1: reporter on some information about like ice raids, and you know,

670
00:34:58,640 --> 00:35:04,560
Speaker 1: was immediately put on administrative leave, future in doubt at DHS,

671
00:35:04,600 --> 00:35:08,799
Speaker 1: like immediate consequences for what is ultimately a much lower

672
00:35:08,880 --> 00:35:12,200
Speaker 1: level fuck up than this fuck up. And you know,

673
00:35:12,280 --> 00:35:14,200
Speaker 1: this is something so you know, my dad worked as

674
00:35:14,239 --> 00:35:16,719
Speaker 1: a civilian scientist on a naval base for most of

675
00:35:16,760 --> 00:35:20,040
Speaker 1: his career, and he has a lifelong conservative, but now

676
00:35:20,080 --> 00:35:22,640
Speaker 1: he hates Donald Trump. But one of the things that

677
00:35:22,800 --> 00:35:27,880
Speaker 1: really bothered him about Trump was the cavalier, the you know,

678
00:35:27,960 --> 00:35:30,920
Speaker 1: the abuse of like classified material having him in his boxes.

679
00:35:31,200 --> 00:35:32,320
Speaker 3: Because my dad.

680
00:35:32,120 --> 00:35:36,160
Speaker 1: Had had to follow these incredibly strict process and procedure

681
00:35:36,239 --> 00:35:39,920
Speaker 1: of how you handle this classified information and to see

682
00:35:39,960 --> 00:35:43,279
Speaker 1: the complete disregard of that from people who are at

683
00:35:43,280 --> 00:35:45,560
Speaker 1: the you know, top of the food chain there, he

684
00:35:45,719 --> 00:35:48,960
Speaker 1: just that that thing really got to him. And you

685
00:35:49,000 --> 00:35:50,680
Speaker 1: see that some of the reaction. New York Times had

686
00:35:50,680 --> 00:35:52,960
Speaker 1: a story with some of the like airmen who would

687
00:35:53,000 --> 00:35:56,360
Speaker 1: be you know, on these types of missions who have

688
00:35:56,560 --> 00:35:59,520
Speaker 1: to follow like they can't even talk to each other

689
00:35:59,680 --> 00:36:02,080
Speaker 1: about what they're going to do. So to see these

690
00:36:02,120 --> 00:36:07,240
Speaker 1: plans being sent out across signal to this very broad list,

691
00:36:07,360 --> 00:36:12,200
Speaker 1: even putting aside Jeffrey Goldberg on there, even that was like, what,

692
00:36:12,520 --> 00:36:15,600
Speaker 1: like this is how you operate? This is insane, Like

693
00:36:15,680 --> 00:36:18,400
Speaker 1: any of us would be complete, you know, discharged, Like

694
00:36:18,440 --> 00:36:21,120
Speaker 1: it would be a major issue for us if this

695
00:36:21,239 --> 00:36:23,480
Speaker 1: is the way that we operated. So, I mean, I

696
00:36:23,480 --> 00:36:26,759
Speaker 1: think that's another another facet of the story. But in

697
00:36:26,800 --> 00:36:28,440
Speaker 1: any case, we could go ahead and move on to

698
00:36:28,960 --> 00:36:31,560
Speaker 1: some of the political news stories that are interesting right now,

699
00:36:31,560 --> 00:36:34,840
Speaker 1: including Emily, you're making a truck up to Wisconsin to

700
00:36:34,960 --> 00:36:38,239
Speaker 1: cover this state Supreme Court seat. So give us a

701
00:36:38,280 --> 00:36:40,799
Speaker 1: little bit of rundown of what's going on in this

702
00:36:40,920 --> 00:36:42,719
Speaker 1: race of why this has become such a lightning rod.

703
00:36:43,040 --> 00:36:48,320
Speaker 2: Yeah, here, let's pull up this article because interestingly, Elon

704
00:36:48,440 --> 00:36:52,720
Speaker 2: Musk has been involved both on the sort of aggressive side,

705
00:36:52,760 --> 00:36:55,279
Speaker 2: like on the offense and on the defense. Democrats have

706
00:36:55,400 --> 00:36:58,400
Speaker 2: made this race. So the way the Wisconsin Supreme Supreme

707
00:36:58,440 --> 00:37:01,560
Speaker 2: Court works is that they're not partisans. They're sort of

708
00:37:01,600 --> 00:37:06,640
Speaker 2: conservative or liberal, but Democrats everybody knows, help the liberal right. Yeah, yeah,

709
00:37:06,680 --> 00:37:09,000
Speaker 2: so you we can't call her like the Democrat judge

710
00:37:09,120 --> 00:37:15,000
Speaker 2: or the Republican judge, but basically we can. Yeah, I mean, yeah,

711
00:37:15,040 --> 00:37:17,520
Speaker 2: we basically can. So here, I'm opening up this article

712
00:37:17,560 --> 00:37:21,040
Speaker 2: because just what we learned is Elon Musk is now

713
00:37:21,040 --> 00:37:24,240
Speaker 2: getting even more involved than he already was in this election.

714
00:37:24,360 --> 00:37:27,239
Speaker 2: Democrats have tried to actually make this a referendum. My

715
00:37:27,239 --> 00:37:31,879
Speaker 2: New York Times is not loading here one second.

716
00:37:31,920 --> 00:37:35,359
Speaker 1: Everyone here, I got you can bet also actually got

717
00:37:35,400 --> 00:37:39,480
Speaker 1: the Elon tweet that he put out that I can

718
00:37:39,520 --> 00:37:42,719
Speaker 1: pull up here with. He's going to the state and

719
00:37:43,160 --> 00:37:47,759
Speaker 1: is is gonna do another of his million dollar giveaways.

720
00:37:47,800 --> 00:37:49,920
Speaker 1: He says on Sunday night, I'll give a talk in Wisconsin.

721
00:37:50,040 --> 00:37:51,960
Speaker 1: Entrance is limited to those who vote in the Supreme

722
00:37:52,000 --> 00:37:54,200
Speaker 1: Court election. I'll also personally hand over to checks for

723
00:37:54,200 --> 00:37:56,480
Speaker 1: a million dollars each in appreciation for you taking the

724
00:37:56,480 --> 00:37:57,000
Speaker 1: time to vote.

725
00:37:57,000 --> 00:37:58,080
Speaker 3: This is super important.

726
00:37:58,280 --> 00:38:01,319
Speaker 1: Again, as I said before, that anyone really cares that

727
00:38:01,440 --> 00:38:03,759
Speaker 1: you know things are legal or not when done by

728
00:38:03,760 --> 00:38:04,960
Speaker 1: the richest man on the planet.

729
00:38:04,960 --> 00:38:05,680
Speaker 3: At this point, but.

730
00:38:05,680 --> 00:38:09,400
Speaker 1: This is pretty brazenly election fraud like based on the

731
00:38:09,440 --> 00:38:14,040
Speaker 1: code both in Wisconsin and federally. Wisconsin law prohibits offering

732
00:38:14,080 --> 00:38:16,240
Speaker 1: anything of value to do someone to vote or register

733
00:38:16,320 --> 00:38:16,720
Speaker 1: to vote.

734
00:38:16,760 --> 00:38:18,160
Speaker 3: It's illegal to give.

735
00:38:18,040 --> 00:38:21,719
Speaker 1: Lend, or promise anything of value to influence voting behavior.

736
00:38:21,960 --> 00:38:25,560
Speaker 1: They cap incentives at one dollar and so you know,

737
00:38:25,680 --> 00:38:29,960
Speaker 1: million dollars little bit beyond that limit. But you know,

738
00:38:30,120 --> 00:38:33,680
Speaker 1: this is just again a very similar playbook to what

739
00:38:33,800 --> 00:38:36,880
Speaker 1: he used, especially in the state of Pennsylvania in the

740
00:38:36,920 --> 00:38:40,960
Speaker 1: presidential race. And you know, it's like goes without saying

741
00:38:41,000 --> 00:38:43,400
Speaker 1: if George Soros was doing this on behalf of the Democrats,

742
00:38:43,440 --> 00:38:45,239
Speaker 1: I think Republicans would probably have a little bit of

743
00:38:45,239 --> 00:38:47,759
Speaker 1: an issue with it. But with Elon Musk, so you know,

744
00:38:47,880 --> 00:38:48,520
Speaker 1: here we go.

745
00:38:48,840 --> 00:38:51,920
Speaker 2: Well, yeah, and so this race is Brad Shimmel, who's

746
00:38:51,920 --> 00:38:56,319
Speaker 2: a very well known kind of establishment conservative figure in Wisconsin,

747
00:38:56,640 --> 00:38:59,879
Speaker 2: and it comes out of those you know years where

748
00:39:00,000 --> 00:39:04,080
Speaker 2: Wisconsin has this very robust conservative movement internally because of

749
00:39:04,360 --> 00:39:07,520
Speaker 2: the Scott Walker momentum, and you have Franz Prebus and

750
00:39:07,600 --> 00:39:11,080
Speaker 2: Paul Ryan and Sean Duffy and Ron Johnson coming out

751
00:39:11,120 --> 00:39:13,640
Speaker 2: of that like really the twenty tens, and Brad Schimmel's

752
00:39:13,760 --> 00:39:17,480
Speaker 2: very much of that crowd. He is up against Susan Crawford,

753
00:39:17,840 --> 00:39:21,280
Speaker 2: the liberal justice. This is for control of the Supreme

754
00:39:21,280 --> 00:39:24,560
Speaker 2: Court in Wisconsin. Tesla does have business in front of

755
00:39:24,600 --> 00:39:27,640
Speaker 2: the Supreme Court and Wisconsin like actively has business in

756
00:39:27,640 --> 00:39:29,520
Speaker 2: front of the Supreme Court in Wisconsin. And so if

757
00:39:29,520 --> 00:39:34,320
Speaker 2: you're wondering why twenty million dollars is pouring into this race,

758
00:39:34,520 --> 00:39:37,480
Speaker 2: it's genuinely like an interesting question. You know, right now

759
00:39:37,480 --> 00:39:39,560
Speaker 2: everyone wants to make it a referendum on Elon Musk.

760
00:39:39,640 --> 00:39:42,279
Speaker 2: So you can understand, even from an ego perspective, why

761
00:39:42,760 --> 00:39:45,920
Speaker 2: Elon Musk would say it's a bad look for no.

762
00:39:46,000 --> 00:39:47,680
Speaker 2: I asked my parents and they were like, yep, these

763
00:39:47,680 --> 00:39:51,160
Speaker 2: ads are Elon focused on the state Supreme court race.

764
00:39:51,719 --> 00:39:54,560
Speaker 2: So that's why Elon Musk, even more than this one

765
00:39:54,600 --> 00:39:57,759
Speaker 2: Tesla case, may be interested is that he could end

766
00:39:57,880 --> 00:40:01,400
Speaker 2: up looking like a real albatross, like a electoral albatross

767
00:40:01,440 --> 00:40:04,880
Speaker 2: for Republicans heading into the midterms, because the entire country

768
00:40:04,960 --> 00:40:07,400
Speaker 2: is watching this election as like an early test case

769
00:40:07,480 --> 00:40:11,160
Speaker 2: as to his brand and how it could potentially motivate

770
00:40:11,239 --> 00:40:16,640
Speaker 2: Democratic Party voters. So twenty million dollars has flowed in here,

771
00:40:16,880 --> 00:40:20,480
Speaker 2: and it's just like for a state Supreme court likely

772
00:40:20,560 --> 00:40:24,520
Speaker 2: we're not even talking about a partisan Republican versus partisan

773
00:40:24,600 --> 00:40:28,520
Speaker 2: Democrat national race. It's not even a congressional seat, it's

774
00:40:28,560 --> 00:40:32,040
Speaker 2: the state Supreme Court. And so for this much attention

775
00:40:32,120 --> 00:40:35,719
Speaker 2: and money to come into it is like pretty significant,

776
00:40:35,800 --> 00:40:38,760
Speaker 2: and you can see why even beyond Tesla, Elon Musk

777
00:40:38,920 --> 00:40:43,160
Speaker 2: is concerned and trying maybe even the lower expectations already.

778
00:40:43,360 --> 00:40:46,560
Speaker 1: Well, Elon, I mean, he by putting so many millions

779
00:40:46,600 --> 00:40:49,879
Speaker 1: into the race, put himself at the center of the race,

780
00:40:50,440 --> 00:40:53,920
Speaker 1: especially given the fact that and made it into a

781
00:40:53,960 --> 00:40:57,440
Speaker 1: sort of referendum on him. I mean, it's possible that

782
00:40:57,480 --> 00:40:59,839
Speaker 1: the ads would have been about him at least tangentially,

783
00:41:00,239 --> 00:41:03,359
Speaker 1: even if he hadn't weighed in. But you know, by

784
00:41:03,440 --> 00:41:07,399
Speaker 1: dumping those millions, he has effectively made it a referendum

785
00:41:07,600 --> 00:41:09,160
Speaker 1: around Elon Musk.

786
00:41:09,560 --> 00:41:11,160
Speaker 3: Doge how you feel about the.

787
00:41:11,120 --> 00:41:13,920
Speaker 1: Direction of the federal government with him, you know, running

788
00:41:13,960 --> 00:41:17,080
Speaker 1: the show and the particular lawsuit that you're referring to,

789
00:41:17,120 --> 00:41:19,839
Speaker 1: Emily it's about. You know, Tesla is unique because all

790
00:41:19,880 --> 00:41:23,600
Speaker 1: of their dealerships, they're not individually owned, they're corporate. They're

791
00:41:23,600 --> 00:41:26,960
Speaker 1: all corporate, and there's laws in certain states, including Wisconsin,

792
00:41:27,360 --> 00:41:31,480
Speaker 1: that basically ban that structure, and so that's the interest,

793
00:41:31,800 --> 00:41:34,200
Speaker 1: the business interest that he has. And then as Ryan,

794
00:41:34,280 --> 00:41:37,120
Speaker 1: I'm sure, can you know explain and elaborate on there's

795
00:41:37,120 --> 00:41:39,800
Speaker 1: a whole bunch of ideological partisan interest here in terms

796
00:41:39,800 --> 00:41:43,160
Speaker 1: of drawing districts and then also ruling on things like

797
00:41:43,360 --> 00:41:46,920
Speaker 1: you know, pro choice, pro life issues, labor law, et cetera,

798
00:41:47,000 --> 00:41:49,480
Speaker 1: that just you know fits into the whole ideological Trump

799
00:41:49,520 --> 00:41:50,839
Speaker 1: Elon Musk package.

800
00:41:51,480 --> 00:41:54,480
Speaker 4: Yeah, those are the key things. And the money is

801
00:41:54,520 --> 00:41:58,560
Speaker 4: interesting because while obviously a candidate would have rather have

802
00:41:58,719 --> 00:42:01,440
Speaker 4: more money than the candidate who has less money, the

803
00:42:01,520 --> 00:42:06,200
Speaker 4: Democrat is going to have a lot of money, right Emily.

804
00:42:06,280 --> 00:42:09,200
Speaker 4: I mean, you're going to see plenty of ads from

805
00:42:09,239 --> 00:42:11,400
Speaker 4: the Democrat. So there's there's sort of like a threshold

806
00:42:11,440 --> 00:42:14,319
Speaker 4: situation where if you have no money and somebody else

807
00:42:14,360 --> 00:42:16,319
Speaker 4: has a ton, the person with a ton is going

808
00:42:16,400 --> 00:42:19,759
Speaker 4: to win one percent of the time. But if somebody

809
00:42:19,800 --> 00:42:21,080
Speaker 4: has a ton of money and you have like a

810
00:42:21,120 --> 00:42:24,960
Speaker 4: half ton, like you're you're in the ballgame. Yeah, And

811
00:42:25,040 --> 00:42:28,880
Speaker 4: sometimes that that money on the ton side can backfires

812
00:42:29,040 --> 00:42:33,600
Speaker 4: as people's mailboxes get completely filled with like these glossy mailers,

813
00:42:33,640 --> 00:42:35,640
Speaker 4: and in rural areas you have to pay to throw

814
00:42:35,680 --> 00:42:38,080
Speaker 4: those out that was that was like a huge problem

815
00:42:38,360 --> 00:42:41,080
Speaker 4: in Maine, you know, where they spent like thirty million

816
00:42:41,120 --> 00:42:44,480
Speaker 4: dollars each on these on like glossy mailers, and you're

817
00:42:44,480 --> 00:42:46,560
Speaker 4: just forcing all these royal people to then pay extra

818
00:42:46,600 --> 00:42:49,120
Speaker 4: money to take them to the dump. And so that

819
00:42:49,120 --> 00:42:52,480
Speaker 4: that does not engender you know, good good feelings toward

820
00:42:52,520 --> 00:42:53,000
Speaker 4: those people.

821
00:42:53,640 --> 00:42:53,759
Speaker 5: Uh.

822
00:42:53,880 --> 00:42:56,560
Speaker 4: And then a guy like Musk, who is not the

823
00:42:56,600 --> 00:43:01,600
Speaker 4: most attractive character to some uh, can then motivate the

824
00:43:01,800 --> 00:43:05,360
Speaker 4: opposition to come out and vote. So so there's a

825
00:43:05,680 --> 00:43:07,680
Speaker 4: limit to what money can do well.

826
00:43:07,719 --> 00:43:10,080
Speaker 2: And that's I think a really really important point because

827
00:43:10,080 --> 00:43:13,400
Speaker 2: one of the things that's tested in this election, probably

828
00:43:13,400 --> 00:43:15,359
Speaker 2: in the Florida election, which we're I know we're going

829
00:43:15,400 --> 00:43:18,280
Speaker 2: to talk about in a second as well, David Shore's

830
00:43:18,280 --> 00:43:22,360
Speaker 2: analysis that went megaviral last week about how low propensity voters,

831
00:43:22,640 --> 00:43:25,279
Speaker 2: if they had turned out at even higher levels, would

832
00:43:25,360 --> 00:43:29,200
Speaker 2: have given the election the victory margin for Trump a

833
00:43:29,239 --> 00:43:31,759
Speaker 2: boost like he actually and that's the opposite Democrats used

834
00:43:31,800 --> 00:43:33,400
Speaker 2: to always say, if we turned out that was the

835
00:43:33,400 --> 00:43:36,600
Speaker 2: whole like rock of the vote philosophy is that if

836
00:43:36,600 --> 00:43:39,600
Speaker 2: we can turn out as many low propensity voters as possible,

837
00:43:39,680 --> 00:43:41,920
Speaker 2: we will win because low propensity voters tend to be

838
00:43:42,000 --> 00:43:42,720
Speaker 2: on our side.

839
00:43:42,920 --> 00:43:46,000
Speaker 4: But voters yeah, yeah, yeah.

840
00:43:45,800 --> 00:43:49,440
Speaker 2: Right, And so now it's interesting that in a midterm cycle,

841
00:43:50,080 --> 00:43:54,799
Speaker 2: the low propensity voters are like the types of people

842
00:43:54,800 --> 00:43:57,400
Speaker 2: who would come out that Elon Musk desperately needs to

843
00:43:57,440 --> 00:44:00,560
Speaker 2: like draw out, and the in all likelihood this is

844
00:44:00,600 --> 00:44:03,000
Speaker 2: not going to have the same level of turnout as

845
00:44:03,040 --> 00:44:07,080
Speaker 2: the presidential election in Wisconsin or in Florida for Mike

846
00:44:07,120 --> 00:44:09,719
Speaker 2: Waltz's sleet, And so what this is testing is kind

847
00:44:09,760 --> 00:44:13,120
Speaker 2: of that theory of the case is if low propensity

848
00:44:13,200 --> 00:44:17,880
Speaker 2: voters are truly like, like, are they really with Musk?

849
00:44:17,960 --> 00:44:20,080
Speaker 2: If you don't get a lot of turnout, what does

850
00:44:20,120 --> 00:44:24,200
Speaker 2: that mean? I think that there are open questions that

851
00:44:24,280 --> 00:44:28,680
Speaker 2: we'll get some answers to in analyzing the turnout on Tuesday.

852
00:44:29,200 --> 00:44:31,879
Speaker 1: Yeah, and I just add up the polymarket odds. They

853
00:44:31,880 --> 00:44:35,440
Speaker 1: were at ninety percent that the liberal was going to win.

854
00:44:35,480 --> 00:44:38,680
Speaker 1: Now they've fallen to eighty three percent since Musk made

855
00:44:38,680 --> 00:44:40,560
Speaker 1: his announcement that he's going to the state and doing

856
00:44:40,600 --> 00:44:41,919
Speaker 1: his million dollar giveaway, etc.

857
00:44:42,239 --> 00:44:42,399
Speaker 3: Etc.

858
00:44:42,800 --> 00:44:44,480
Speaker 1: So I guess he's managed to shift the odds a

859
00:44:44,520 --> 00:44:47,680
Speaker 1: little bit in his favor. At least according to Polymarket.

860
00:44:48,040 --> 00:44:52,520
Speaker 1: But you know, look, Democrats are very energized. Like you

861
00:44:52,560 --> 00:44:54,759
Speaker 1: see it. You know, every town hall, you've got all

862
00:44:54,760 --> 00:44:56,920
Speaker 1: these people showing up, You've got all these tesla protests

863
00:44:56,920 --> 00:44:59,839
Speaker 1: across the country. You've got you know, them flooding there.

864
00:45:00,560 --> 00:45:05,839
Speaker 1: Senate and congressional representatives with calls and messages, and you know,

865
00:45:05,920 --> 00:45:12,000
Speaker 1: it's high, high level of energy, anger, concern, and not

866
00:45:12,120 --> 00:45:14,880
Speaker 1: a lot of channels to direct at at this point.

867
00:45:15,440 --> 00:45:19,080
Speaker 1: So you know, when you have these either off year

868
00:45:19,320 --> 00:45:22,480
Speaker 1: or special election situations, like this is the moment not

869
00:45:22,560 --> 00:45:24,600
Speaker 1: just for people in that state, but for people around

870
00:45:24,640 --> 00:45:26,120
Speaker 1: the country like, oh my god, here's the thing that

871
00:45:26,160 --> 00:45:30,440
Speaker 1: I can do. And especially since Elon is profoundly unpopular.

872
00:45:31,120 --> 00:45:33,240
Speaker 1: You know, Trump is unpopular at this point, but Elon

873
00:45:33,360 --> 00:45:36,040
Speaker 1: is way more unpopular he has.

874
00:45:35,960 --> 00:45:38,520
Speaker 2: And Dems are unpopular too, which is interesting. Like that's

875
00:45:38,520 --> 00:45:40,640
Speaker 2: what like, what's one of the more interesting things here

876
00:45:40,719 --> 00:45:42,759
Speaker 2: is like this is Democrats opportunity to test out a

877
00:45:42,800 --> 00:45:45,960
Speaker 2: new brand strategy, you know, because they're also like that's

878
00:45:46,000 --> 00:45:48,439
Speaker 2: why Wisconsin is not a red state. I am still

879
00:45:48,480 --> 00:45:51,839
Speaker 2: surprised that Trump won Wisconsin. Obviously I haven't lived there

880
00:45:51,840 --> 00:45:54,480
Speaker 2: in a while, but it's not a red state, and

881
00:45:54,600 --> 00:45:58,399
Speaker 2: right's very very very very close. So it's a test

882
00:45:58,440 --> 00:46:01,759
Speaker 2: of Democrats brand when Trump is sort of out of

883
00:46:01,800 --> 00:46:04,720
Speaker 2: the picture and now you're making it about must potentially

884
00:46:04,760 --> 00:46:05,600
Speaker 2: the future of the right.

885
00:46:05,680 --> 00:46:08,600
Speaker 1: Sorry, I just no, that's that's all a great point. Yeah,

886
00:46:08,600 --> 00:46:11,880
Speaker 1: and Elon has really made himself central to this story

887
00:46:12,640 --> 00:46:15,080
Speaker 1: a couple other political stories. I mean, this is kind

888
00:46:15,080 --> 00:46:18,319
Speaker 1: of wild. So at least Dephonic had been nominated to

889
00:46:18,360 --> 00:46:23,440
Speaker 1: be you an ambassador, and now Trump has decided that

890
00:46:23,560 --> 00:46:26,719
Speaker 1: he is going to ask her to pull to pull

891
00:46:26,760 --> 00:46:30,080
Speaker 1: out of that process. And the you know, the the

892
00:46:30,120 --> 00:46:32,000
Speaker 1: reading of this, which I think is correct, as they're

893
00:46:32,040 --> 00:46:36,279
Speaker 1: concerned she's a congressional representative in New York. They're concerned

894
00:46:36,719 --> 00:46:39,200
Speaker 1: that they may lose this seat in the special election

895
00:46:39,320 --> 00:46:42,440
Speaker 1: to replace her. So he says, as we advance our

896
00:46:42,480 --> 00:46:45,560
Speaker 1: America First agendas, essentially we maintain every Republican seat in

897
00:46:45,560 --> 00:46:48,239
Speaker 1: Congress must be unified accomplish our mission. Elast Dephonic has

898
00:46:48,239 --> 00:46:50,400
Speaker 1: been a vital part of our efforts from the very beginning.

899
00:46:50,640 --> 00:46:52,520
Speaker 1: I've asked Elise is one of my biggest allies to

900
00:46:52,560 --> 00:46:54,919
Speaker 1: remain in Congress to help me deliver historic tax cuts,

901
00:46:54,960 --> 00:46:59,239
Speaker 1: great jobs, record economic growth, secure border, et cetera, et cetera. So,

902
00:46:59,239 --> 00:47:01,759
Speaker 1: I mean the TLD are here is just like they're

903
00:47:01,760 --> 00:47:05,040
Speaker 1: afraid they're going to lose the seat. And obviously Republicans

904
00:47:05,040 --> 00:47:09,160
Speaker 1: have this very slim margin. They've already taken Mike Waltz

905
00:47:09,520 --> 00:47:12,000
Speaker 1: out as well, and apparently there's even a little bit

906
00:47:12,040 --> 00:47:15,160
Speaker 1: of concern we'll get to that about lose about losing

907
00:47:15,280 --> 00:47:17,560
Speaker 1: his seat, which he just won by I believe the

908
00:47:17,640 --> 00:47:22,319
Speaker 1: numbers thirty eight points. So Emily talked to us about

909
00:47:22,320 --> 00:47:26,560
Speaker 1: this elast Dephonics nomination being pulled because it does seem like,

910
00:47:26,719 --> 00:47:28,879
Speaker 1: you know, they're hitting the panic button here a little bit,

911
00:47:28,960 --> 00:47:32,000
Speaker 1: at least with regards to these special elections, which, again,

912
00:47:32,040 --> 00:47:34,960
Speaker 1: when you have low turn on elections, you have a

913
00:47:35,000 --> 00:47:38,720
Speaker 1: Democratic base that now consists more of high propensity voters

914
00:47:39,040 --> 00:47:42,400
Speaker 1: and they're super energized. You've got a kind of recipe

915
00:47:42,440 --> 00:47:44,560
Speaker 1: for disaster on the Republican side.

916
00:47:44,400 --> 00:47:49,480
Speaker 2: Well, and you want to pass a fairly controversial agenda

917
00:47:49,560 --> 00:47:51,960
Speaker 2: through Congress. So it's actually pretty hard to keep the

918
00:47:52,000 --> 00:47:55,799
Speaker 2: coalition together. They learned that lesson with Thomas Massey and

919
00:47:55,840 --> 00:47:58,560
Speaker 2: discovering that he was simply not going to Budge just

920
00:47:58,640 --> 00:48:01,680
Speaker 2: because the party needed him too. He's like, I'm not

921
00:48:01,680 --> 00:48:04,160
Speaker 2: gonna be a team player if the team is doing

922
00:48:04,200 --> 00:48:07,239
Speaker 2: something that I think is like disastrous, and have been

923
00:48:07,280 --> 00:48:09,680
Speaker 2: on the record for years saying I think is disastrous.

924
00:48:09,719 --> 00:48:12,880
Speaker 2: So if you're not offsetting tax cuts and if you're

925
00:48:12,920 --> 00:48:16,279
Speaker 2: throwing all kinds of stuff into the reconciliation, you know,

926
00:48:16,320 --> 00:48:18,960
Speaker 2: as a party, you can see we're for Republicans that

927
00:48:19,040 --> 00:48:21,560
Speaker 2: make sense, and you can see if you're Republican leadership,

928
00:48:21,560 --> 00:48:23,239
Speaker 2: that's their job is to keep the team on the

929
00:48:23,280 --> 00:48:26,680
Speaker 2: same page. But it's going to be tough to keep

930
00:48:26,719 --> 00:48:29,360
Speaker 2: everybody on the same page, and they can't lose many votes.

931
00:48:29,440 --> 00:48:32,200
Speaker 2: So at least the phonic one on Hannity, which was

932
00:48:32,200 --> 00:48:35,040
Speaker 2: being guest hosted by Kaylee mcaaey last night and basically

933
00:48:35,080 --> 00:48:39,120
Speaker 2: confirmed your reading of this Crystal that it's exactly because

934
00:48:39,239 --> 00:48:44,360
Speaker 2: they're concerned. They're dancing around that obviously, but they're saying, basically,

935
00:48:44,360 --> 00:48:46,160
Speaker 2: we just can't take the risk. We can't take the risk.

936
00:48:46,160 --> 00:48:49,239
Speaker 2: It's too much of a risk. But it's a seriously

937
00:48:49,480 --> 00:48:53,200
Speaker 2: tight margin. There's so little room of air, the little

938
00:48:53,239 --> 00:48:57,320
Speaker 2: room for error, and there's so much opportunity for error

939
00:48:57,520 --> 00:49:00,560
Speaker 2: that you know, they're definitely panicking, was it.

940
00:49:00,640 --> 00:49:04,960
Speaker 4: Yeah, this is Makowski that said, like they're just figured

941
00:49:04,960 --> 00:49:05,480
Speaker 4: this out out.

942
00:49:05,560 --> 00:49:08,040
Speaker 3: Yeah, yeah, that's exactly right.

943
00:49:08,719 --> 00:49:11,240
Speaker 1: She's like, you just realize is now at least defining

944
00:49:11,520 --> 00:49:14,160
Speaker 1: this is According to Grok, she won with sixty to

945
00:49:14,160 --> 00:49:16,960
Speaker 1: sixty two percent of the vote last time in this district,

946
00:49:17,000 --> 00:49:20,600
Speaker 1: so she had like a thirty six percent margin that

947
00:49:20,680 --> 00:49:23,720
Speaker 1: she won by, Like she this is not shouldn't be close,

948
00:49:23,760 --> 00:49:25,879
Speaker 1: which is why they felt confident putting her in there, like, oh,

949
00:49:25,920 --> 00:49:28,560
Speaker 1: surely we'll be able to win this seat back. And

950
00:49:28,600 --> 00:49:31,880
Speaker 1: so to have to pull the fire alarm on a

951
00:49:31,920 --> 00:49:34,880
Speaker 1: district that is this red is you know, it's a

952
00:49:35,000 --> 00:49:39,200
Speaker 1: very significant indicator of where the sort of energy is, especially,

953
00:49:39,200 --> 00:49:41,520
Speaker 1: like I said, in these sort of like special elections.

954
00:49:41,560 --> 00:49:42,920
Speaker 3: Did you pull up the Murkowski thing?

955
00:49:44,200 --> 00:49:48,520
Speaker 4: There was also some concern among Republicans that that Democrats

956
00:49:48,520 --> 00:49:50,719
Speaker 4: wouldn't hold the election in time and would hold it

957
00:49:50,760 --> 00:49:56,239
Speaker 4: open longer than they're supposed to, which would you leave

958
00:49:56,280 --> 00:49:58,239
Speaker 4: them half of you know, it's half a vote rather

959
00:49:58,280 --> 00:50:04,359
Speaker 4: than a vote lost. Basically, Ohio Mike DeWine did that

960
00:50:04,400 --> 00:50:09,120
Speaker 4: to Democrats back in twenty eighteen when Marcia Fudge stepped

961
00:50:09,120 --> 00:50:14,560
Speaker 4: down then became HUD secretary. Like they kept that was

962
00:50:14,600 --> 00:50:17,400
Speaker 4: the Nina Turnery Chantel Brown race. They kept that seat

963
00:50:17,440 --> 00:50:19,960
Speaker 4: empty for like eighteen months or something. Insane. They did

964
00:50:19,960 --> 00:50:24,640
Speaker 4: that to the Detroit several years ago as well, when

965
00:50:25,000 --> 00:50:28,319
Speaker 4: John Conyers died, basically left Detroit without a congressman for

966
00:50:28,320 --> 00:50:30,480
Speaker 4: like two years. So I think Republicans were like, what

967
00:50:30,480 --> 00:50:31,879
Speaker 4: if they do to us what we do to them?

968
00:50:32,160 --> 00:50:34,919
Speaker 1: Yeah, yeah, it would be some of that could be too.

969
00:50:35,880 --> 00:50:38,080
Speaker 1: This also, you know, relates to this. So they've got

970
00:50:38,120 --> 00:50:43,600
Speaker 1: to fill down in Florida Mike Waltz's seat, and their

971
00:50:44,360 --> 00:50:47,919
Speaker 1: oxeo's got their hands on an internal poll of the

972
00:50:48,080 --> 00:50:51,239
Speaker 1: race to replace him. And this again is a seat,

973
00:50:51,239 --> 00:50:53,839
Speaker 1: I mean, this is a red district. Walts won it

974
00:50:53,840 --> 00:50:57,040
Speaker 1: by thirty plus points. I think Trump wanted by thirty points.

975
00:50:57,040 --> 00:51:01,120
Speaker 1: This should be a layup. And they have a recent

976
00:51:01,200 --> 00:51:04,600
Speaker 1: survey by Tony Fabrizio, who was a chief strategist for Trump,

977
00:51:04,920 --> 00:51:09,120
Speaker 1: had the Republican down by three points after leading by

978
00:51:09,200 --> 00:51:12,880
Speaker 1: twelve in February. According to a person familiar with the data.

979
00:51:13,200 --> 00:51:16,240
Speaker 1: One thing that's kind of funny about I mean that's wild.

980
00:51:16,400 --> 00:51:20,200
Speaker 1: First of all, that Democrats would even have any kind

981
00:51:20,239 --> 00:51:22,880
Speaker 1: of a prayer in this race. Now, they go on

982
00:51:22,920 --> 00:51:26,000
Speaker 1: to say, both Republicans and Democrats still expect Fine, who

983
00:51:26,080 --> 00:51:28,239
Speaker 1: apparently I didn't really wasn't really familiar with them, is

984
00:51:28,239 --> 00:51:31,600
Speaker 1: apparently like a controversial figure in Florida, kind of like

985
00:51:31,640 --> 00:51:34,359
Speaker 1: bombastic and those all kinds of like wild and crazy things.

986
00:51:34,400 --> 00:51:34,800
Speaker 3: Whatever.

987
00:51:35,040 --> 00:51:38,680
Speaker 1: Anyway, apparently both sides sort of still expect him to win,

988
00:51:39,120 --> 00:51:42,920
Speaker 1: but the fact that it's close is again like huge,

989
00:51:43,360 --> 00:51:47,640
Speaker 1: huge alarms going off because of this. In fact, one

990
00:51:47,680 --> 00:51:49,239
Speaker 1: of the people they quote says, you know, if the

991
00:51:49,239 --> 00:51:52,880
Speaker 1: Democrat can even come within ten to fifteen points, that

992
00:51:52,920 --> 00:51:57,200
Speaker 1: would be in a real red flag for Republicans about

993
00:51:57,239 --> 00:51:59,279
Speaker 1: the energy that is going against them here.

994
00:51:59,560 --> 00:52:00,479
Speaker 3: And it was funny.

995
00:52:00,480 --> 00:52:02,080
Speaker 1: I don't know if this is what happened, but in

996
00:52:02,120 --> 00:52:05,320
Speaker 1: the original reporting of this, Axios had said had flipped

997
00:52:05,320 --> 00:52:08,520
Speaker 1: the numbers, had said that find the Republican was only

998
00:52:08,600 --> 00:52:11,560
Speaker 1: up by three. In reality, the poll actually has him

999
00:52:11,800 --> 00:52:14,520
Speaker 1: down by three. But I think that result was just

1000
00:52:14,560 --> 00:52:17,400
Speaker 1: like so unbelievable that they were like that can that

1001
00:52:17,480 --> 00:52:20,280
Speaker 1: can't be Like you meant the Republicans up by three, right.

1002
00:52:21,400 --> 00:52:22,360
Speaker 4: Wow, that's amazing.

1003
00:52:22,640 --> 00:52:28,000
Speaker 2: Yeah, Well, I mean, maybe maybe the poll will turn

1004
00:52:28,040 --> 00:52:30,680
Speaker 2: out to be inaccurate, but you can see for Republicans

1005
00:52:30,719 --> 00:52:34,080
Speaker 2: where they are not doing town halls anymore because people

1006
00:52:34,120 --> 00:52:37,360
Speaker 2: are motivated enough to come out and show up. Meaning

1007
00:52:37,440 --> 00:52:39,439
Speaker 2: those are the types of people who are motivated enough

1008
00:52:39,440 --> 00:52:43,880
Speaker 2: to canvas and to make phone banking calls and like

1009
00:52:43,960 --> 00:52:48,480
Speaker 2: do that sort of work. If your grassroots activists are motivated,

1010
00:52:49,000 --> 00:52:54,240
Speaker 2: then you know, that's significant and that makes a difference.

1011
00:52:54,280 --> 00:52:57,320
Speaker 2: We're not saying that it's like everyone is super angry

1012
00:52:57,360 --> 00:53:00,160
Speaker 2: and you know, the regular voters are just flooding to

1013
00:53:00,200 --> 00:53:02,280
Speaker 2: the town halls. There's some of that, but it matters

1014
00:53:02,280 --> 00:53:05,400
Speaker 2: even if it's just the activist grassrootspace, and that's definitely

1015
00:53:05,400 --> 00:53:06,880
Speaker 2: what's happening. And those are the people who make the

1016
00:53:06,920 --> 00:53:09,080
Speaker 2: calls and knock on the doors and send the small checks.

1017
00:53:10,000 --> 00:53:12,920
Speaker 2: So you can see the combination of curious polling in

1018
00:53:12,960 --> 00:53:16,719
Speaker 2: a close district that shouldn't really be that close, you know,

1019
00:53:17,040 --> 00:53:18,880
Speaker 2: or in a district that looks close that shouldn't be

1020
00:53:18,960 --> 00:53:22,440
Speaker 2: that close, and what they're seeing on the ground, you

1021
00:53:22,440 --> 00:53:25,080
Speaker 2: can see why that would be making them quite nervous.

1022
00:53:25,880 --> 00:53:28,399
Speaker 1: I wanted to play uh one on Josh Wiel that's

1023
00:53:28,440 --> 00:53:31,319
Speaker 1: a Democrat in the race, one of his ads. I mean,

1024
00:53:31,320 --> 00:53:34,680
Speaker 1: I think mostly this is just reflective of like national dynamics,

1025
00:53:34,680 --> 00:53:36,359
Speaker 1: but I also thought it was interesting to see how

1026
00:53:36,400 --> 00:53:39,480
Speaker 1: he's making the pitch here in this ride district and

1027
00:53:39,480 --> 00:53:41,920
Speaker 1: what he thinks, you know, is landing with voters and

1028
00:53:41,960 --> 00:53:43,400
Speaker 1: causing them to move to his side.

1029
00:53:43,400 --> 00:53:48,640
Speaker 3: Sell themon go ahead and pull this up, this message.

1030
00:53:48,960 --> 00:53:53,600
Speaker 9: Randy Fine a violent, corrupt politician, so radical and dangerous.

1031
00:53:53,719 --> 00:53:56,239
Speaker 9: He supports the effort to cut eight hundred and eighty

1032
00:53:56,360 --> 00:54:01,040
Speaker 9: billion for Medicaid, devastating disabled children and those in nursing homes.

1033
00:54:01,239 --> 00:54:04,680
Speaker 9: Fine is so unhinged and anti American. He supports the

1034
00:54:04,760 --> 00:54:07,920
Speaker 9: idea that social Security is the biggest Ponzi scheme of

1035
00:54:07,960 --> 00:54:11,440
Speaker 9: all time. He wants to cut seven hundred billion, stealing

1036
00:54:11,560 --> 00:54:15,800
Speaker 9: from your retirement. Randy Fine, unhinged, Unamerican.

1037
00:54:16,640 --> 00:54:19,160
Speaker 1: So the unhinged reference to some of his antics, but

1038
00:54:19,239 --> 00:54:22,359
Speaker 1: then really drilling down Ryan on the Medicaid and then

1039
00:54:22,560 --> 00:54:25,319
Speaker 1: backing this idea that Elon Musk has been promoting that

1040
00:54:25,440 --> 00:54:27,759
Speaker 1: social Security is a Ponzi scheme and.

1041
00:54:28,239 --> 00:54:31,919
Speaker 4: With communists like iconography behind it.

1042
00:54:32,360 --> 00:54:34,600
Speaker 3: I didn't even know that, wasn't it.

1043
00:54:34,560 --> 00:54:35,960
Speaker 4: Like, Yeah, that's what it looked like.

1044
00:54:36,719 --> 00:54:37,960
Speaker 2: Friends like, hell, yah.

1045
00:54:39,480 --> 00:54:39,920
Speaker 3: Right away?

1046
00:54:40,320 --> 00:54:41,680
Speaker 4: How dare you smear him with that?

1047
00:54:43,800 --> 00:54:44,040
Speaker 9: Yeah?

1048
00:54:44,080 --> 00:54:46,000
Speaker 4: Elon Musk is the one who called it the biggest

1049
00:54:46,120 --> 00:54:48,919
Speaker 4: Ponzi scheme of all time. Elon Musk is going after

1050
00:54:49,000 --> 00:54:53,359
Speaker 4: Social Security as we speak, shutting down offices, calling it

1051
00:54:54,040 --> 00:54:56,839
Speaker 4: rife with fraudy. Like the other day yesterday he said,

1052
00:54:57,560 --> 00:55:00,640
Speaker 4: you know, shock, like forty of the halls that come

1053
00:55:00,640 --> 00:55:04,040
Speaker 4: into Solid Security offices or scams Like I don't. I

1054
00:55:04,040 --> 00:55:07,319
Speaker 4: guess Elon Musk doesn't have a phone, because if he did,

1055
00:55:07,360 --> 00:55:10,680
Speaker 4: he would realize that more than forty percent of all

1056
00:55:10,760 --> 00:55:14,839
Speaker 4: calls that come into your phone are scams. Like, if

1057
00:55:14,880 --> 00:55:17,799
Speaker 4: you're getting a call, it's probably a scam. Why would

1058
00:55:17,800 --> 00:55:20,719
Speaker 4: the Solid Security office be different? So okay, therefore we

1059
00:55:20,719 --> 00:55:25,799
Speaker 4: should like cut the spending on our on the administration

1060
00:55:25,880 --> 00:55:28,920
Speaker 4: of Sold Security because we're getting so many fraud calls.

1061
00:55:29,800 --> 00:55:33,320
Speaker 4: So yes, I think you're going to see Democrats running

1062
00:55:33,320 --> 00:55:37,239
Speaker 4: against Elon Musk and against what he's doing to Medicaid

1063
00:55:37,280 --> 00:55:41,520
Speaker 4: and to Solid security. Republicans think we're gonna cut medicaid.

1064
00:55:41,560 --> 00:55:44,839
Speaker 4: It's just it's just poor people. The reference to nursing

1065
00:55:44,920 --> 00:55:50,440
Speaker 4: homes was brilliant. That's how basically everybody pays for nursing homes.

1066
00:55:51,239 --> 00:55:54,239
Speaker 4: And that matters not just to the people in the

1067
00:55:54,320 --> 00:55:58,600
Speaker 4: nursing homes, but it matters almost even more to the children,

1068
00:55:58,840 --> 00:56:03,200
Speaker 4: the adult children, adult kids of the people in nursing homes.

1069
00:56:04,280 --> 00:56:06,280
Speaker 4: On American you love to see.

1070
00:56:06,080 --> 00:56:08,520
Speaker 3: It, Emily.

1071
00:56:08,760 --> 00:56:13,400
Speaker 1: I think this also comes before they have even passed

1072
00:56:13,480 --> 00:56:17,520
Speaker 1: these Medicaid cuts, right, and you referenced a you know

1073
00:56:17,800 --> 00:56:20,799
Speaker 1: how this is agenda's very controversial, you know, I mean

1074
00:56:20,840 --> 00:56:23,960
Speaker 1: the Medicaid cuts part of is not particularly controversial really

1075
00:56:24,000 --> 00:56:27,720
Speaker 1: among Republicans, but certainly controversial. It's not even controversial among

1076
00:56:27,760 --> 00:56:30,040
Speaker 1: the public. Its just like a blanket opposed by and

1077
00:56:30,160 --> 00:56:33,040
Speaker 1: largage by the public. But you know they're running the

1078
00:56:33,040 --> 00:56:37,680
Speaker 1: sad before that even occurs. Imagine the sort of grist

1079
00:56:37,760 --> 00:56:41,359
Speaker 1: for the mill. After those cuts are actually codified and

1080
00:56:41,400 --> 00:56:44,719
Speaker 1: the impacts become real rather than theoretical.

1081
00:56:45,360 --> 00:56:48,600
Speaker 2: Well, and it could become controversial just with the influence

1082
00:56:48,640 --> 00:56:53,640
Speaker 2: of Steve Bannon. And Steve Bannon is like extremely opposed politically,

1083
00:56:54,280 --> 00:56:57,080
Speaker 2: and I think it's for him become ideological too, because

1084
00:56:57,120 --> 00:57:00,799
Speaker 2: I think he's so deeply upset with what's happened with

1085
00:57:00,880 --> 00:57:03,879
Speaker 2: the tech takeover, So that could I mean genuinely put

1086
00:57:03,880 --> 00:57:06,040
Speaker 2: a lot of pressure on some of the guys who

1087
00:57:06,040 --> 00:57:08,919
Speaker 2: are having to take a vote for what is going

1088
00:57:08,960 --> 00:57:11,800
Speaker 2: to be billed as quote reform and not a cut.

1089
00:57:11,880 --> 00:57:16,040
Speaker 2: Many such, many such cases, as they say. But that's

1090
00:57:16,480 --> 00:57:21,520
Speaker 2: another test here, is whether Republicans can They're very very

1091
00:57:22,160 --> 00:57:26,960
Speaker 2: and it's actually interesting, they're very high on selling cuts

1092
00:57:27,080 --> 00:57:29,280
Speaker 2: right now. Right they think now is the time that

1093
00:57:29,440 --> 00:57:32,959
Speaker 2: Republicans can actually sell cuts. They've never really been able

1094
00:57:32,960 --> 00:57:35,000
Speaker 2: to do that before. So it feels like they have

1095
00:57:35,080 --> 00:57:39,080
Speaker 2: generational momentum to talk about slashing and burning, because nobody

1096
00:57:39,120 --> 00:57:41,280
Speaker 2: has the political will other than Donald Trump and Elon

1097
00:57:41,400 --> 00:57:44,160
Speaker 2: Musk to actually like say this is what we're doing.

1098
00:57:44,640 --> 00:57:47,600
Speaker 2: So does that I mean, do they overplay their hand

1099
00:57:48,040 --> 00:57:50,760
Speaker 2: to the point where the benefits start getting touched and

1100
00:57:50,840 --> 00:57:52,840
Speaker 2: you're not able to sell it as reform which is

1101
00:57:52,880 --> 00:57:56,280
Speaker 2: what Republicans always try to sell it as medicare and whatever.

1102
00:57:56,760 --> 00:57:59,000
Speaker 2: They try to say. This is just we're reforming the system,

1103
00:57:59,200 --> 00:58:03,439
Speaker 2: we're cutting out. But if everyone sees like, well, that's

1104
00:58:03,480 --> 00:58:06,320
Speaker 2: interesting because as we're about to talk about in a second,

1105
00:58:06,360 --> 00:58:09,000
Speaker 2: you just fired ten thousand people from HHS, You just

1106
00:58:09,160 --> 00:58:12,920
Speaker 2: cut these DEI grants you cut X, Y, and Z.

1107
00:58:13,040 --> 00:58:16,240
Speaker 2: It seems like you're actually just cutting. So you're telling

1108
00:58:16,240 --> 00:58:18,680
Speaker 2: me that this is just plain reform. That's a hard

1109
00:58:18,680 --> 00:58:19,040
Speaker 2: thing to.

1110
00:58:19,000 --> 00:58:21,200
Speaker 1: Do, right, I mean with the Social Security it's like

1111
00:58:21,240 --> 00:58:24,960
Speaker 1: becoming really clear, right, cutting Social Security administration, it's not

1112
00:58:25,000 --> 00:58:27,360
Speaker 1: making things better, it's making things worse. It's making so

1113
00:58:27,440 --> 00:58:30,160
Speaker 1: that fewer people are able to access the benefits that

1114
00:58:30,160 --> 00:58:33,160
Speaker 1: they're entitled to with that program. And I will we

1115
00:58:33,200 --> 00:58:35,760
Speaker 1: can go ahead, like you said, emilis does dovetail well

1116
00:58:35,760 --> 00:58:39,400
Speaker 1: with the next story, which is RK Junior just announced

1117
00:58:39,400 --> 00:58:43,960
Speaker 1: that he's planning ten thousand cuts over at HHS. So

1118
00:58:44,040 --> 00:58:46,080
Speaker 1: this is Wall Street Journal, they say. And he announced

1119
00:58:46,080 --> 00:58:48,520
Speaker 1: this in a video on x changes would reshape the

1120
00:58:48,600 --> 00:58:52,680
Speaker 1: nation's health agencies, closed regional offices. He said he would

1121
00:58:52,680 --> 00:58:55,920
Speaker 1: act ten thousand full time employees spread across agencies, tasks

1122
00:58:55,920 --> 00:59:00,640
Speaker 1: with responding to disease outbreaks, approving new drugs, providing insurance

1123
00:59:00,720 --> 00:59:03,200
Speaker 1: for the poorest Americans, and more. The cuts are in

1124
00:59:03,240 --> 00:59:06,360
Speaker 1: addition to roughly ten thousand employees who already chose to

1125
00:59:06,440 --> 00:59:11,360
Speaker 1: leave the department through voluntary separation officers offers since Trump

1126
00:59:11,400 --> 00:59:14,040
Speaker 1: took office. Cour to the department. Together, the cuts would

1127
00:59:14,040 --> 00:59:17,240
Speaker 1: eliminate about one quarter of a workforce that would shrink

1128
00:59:17,320 --> 00:59:20,320
Speaker 1: to sixty two thousand. And they have a quote here

1129
00:59:20,400 --> 00:59:23,520
Speaker 1: from RFK Junior says, we're going to eliminate an entire

1130
00:59:23,560 --> 00:59:28,280
Speaker 1: alphabet soup of departments and agencies while preserving their core function.

1131
00:59:28,400 --> 00:59:31,360
Speaker 1: And I guess that's the part that is highly questionable.

1132
00:59:31,440 --> 00:59:35,080
Speaker 1: I guess we'll say to say the least, because you know,

1133
00:59:35,160 --> 00:59:39,240
Speaker 1: if you're slashing these are agencies, like the FDA is

1134
00:59:39,360 --> 00:59:42,720
Speaker 1: already truly understaffed, like in terms of being able to

1135
00:59:42,760 --> 00:59:46,200
Speaker 1: get regulatory approvals through, to be able to make sure

1136
00:59:46,320 --> 00:59:49,040
Speaker 1: that our food supply is safe, you know, something that

1137
00:59:49,080 --> 00:59:52,479
Speaker 1: MAHA should be really interested in. There are already too

1138
00:59:52,560 --> 00:59:56,600
Speaker 1: few inspectors to be able to really adequately do the job.

1139
00:59:57,040 --> 01:00:01,120
Speaker 1: And so now you're talking about slashing that fun and

1140
01:00:01,360 --> 01:00:05,400
Speaker 1: you know, any sort of new drug approvals, medical device approvals,

1141
01:00:05,800 --> 01:00:08,200
Speaker 1: any sort of you know, access issues you have with

1142
01:00:08,280 --> 01:00:11,560
Speaker 1: regard to medicaid. This is all being slashing is on

1143
01:00:11,720 --> 01:00:16,880
Speaker 1: the chopping block, and you know, ryan to to believe

1144
01:00:17,040 --> 01:00:18,560
Speaker 1: that it's not going to have the same impact that

1145
01:00:18,600 --> 01:00:21,080
Speaker 1: it's having a social security where already wait times are

1146
01:00:21,120 --> 01:00:24,200
Speaker 1: astronomical and field offices have lines on the door, and

1147
01:00:24,240 --> 01:00:26,479
Speaker 1: they're trying to cut telephone service and all these sorts

1148
01:00:26,480 --> 01:00:29,160
Speaker 1: of things. Like we've seen the way they operate. It's

1149
01:00:29,240 --> 01:00:32,800
Speaker 1: just very difficult to buy at this point, right.

1150
01:00:32,720 --> 01:00:35,600
Speaker 4: And for for for what advantage. You're not going to

1151
01:00:37,400 --> 01:00:39,920
Speaker 4: see a reduction in the deficit as a result of this.

1152
01:00:40,080 --> 01:00:43,240
Speaker 4: You're not going to see interest rates come down. Like

1153
01:00:43,280 --> 01:00:46,880
Speaker 4: the way you would actually reduce the deficit is you

1154
01:00:46,920 --> 01:00:52,840
Speaker 4: know through uh you know, congressional action, where you increase

1155
01:00:52,920 --> 01:00:56,160
Speaker 4: revenues and reduce spending. Instead, they're probably going to have

1156
01:00:56,200 --> 01:01:00,440
Speaker 4: the lowest revenues in a very very long time because

1157
01:01:00,440 --> 01:01:04,040
Speaker 4: they're slashing away at the I R S and they're

1158
01:01:04,080 --> 01:01:07,400
Speaker 4: gonna they're gonna hit the debt ceiling a lot faster. Yeah,

1159
01:01:07,600 --> 01:01:11,160
Speaker 4: it's a yeah, that's a tax cut that hits that

1160
01:01:11,400 --> 01:01:14,760
Speaker 4: you know for corporations, you know, particularly for corporations and

1161
01:01:14,800 --> 01:01:17,320
Speaker 4: the very rich who can afford the best accountants, Like

1162
01:01:17,360 --> 01:01:21,240
Speaker 4: they're going to push the envelope on on the legality

1163
01:01:21,280 --> 01:01:23,640
Speaker 4: of what they have tax breaks, assuming that they can

1164
01:01:24,160 --> 01:01:28,560
Speaker 4: fend off or not get audited. The working people are

1165
01:01:28,640 --> 01:01:31,640
Speaker 4: going to you know, pay the same or actually more

1166
01:01:31,680 --> 01:01:35,440
Speaker 4: because the I R S. It's much easier for the

1167
01:01:35,480 --> 01:01:38,200
Speaker 4: I R S to come after regular people than it

1168
01:01:38,240 --> 01:01:39,800
Speaker 4: is for them to come after rich people because of

1169
01:01:40,520 --> 01:01:41,600
Speaker 4: enforcement is designed.

1170
01:01:41,680 --> 01:01:42,520
Speaker 3: That's exactly right.

1171
01:01:42,600 --> 01:01:47,280
Speaker 4: Yeah, So firing ten thousand, firing ten thousand HHS people,

1172
01:01:47,280 --> 01:01:49,520
Speaker 4: it makes up for like one billionaire that is going

1173
01:01:49,600 --> 01:01:51,520
Speaker 4: to rip off the I R S as a result

1174
01:01:51,600 --> 01:01:53,160
Speaker 4: of these cuts.

1175
01:01:53,280 --> 01:01:56,560
Speaker 2: Cost fighting an audit is like twelve hundred dollars. It's

1176
01:01:56,640 --> 01:01:58,320
Speaker 2: really high.

1177
01:01:57,960 --> 01:02:00,600
Speaker 4: And they don't let they don't you to use a

1178
01:02:00,600 --> 01:02:02,680
Speaker 4: credit card statement like you have to have the actual

1179
01:02:02,720 --> 01:02:06,680
Speaker 4: physical receipts since like you're a regular person up against

1180
01:02:06,680 --> 01:02:07,160
Speaker 4: the IRS.

1181
01:02:07,280 --> 01:02:08,120
Speaker 1: Is ft.

1182
01:02:08,880 --> 01:02:12,240
Speaker 2: I mean, I actually think there's probably an argument that

1183
01:02:12,920 --> 01:02:16,520
Speaker 2: there's blow that can be cut from places like HHS

1184
01:02:16,520 --> 01:02:20,200
Speaker 2: and responsibly and in a way that actually makes the

1185
01:02:20,480 --> 01:02:24,480
Speaker 2: organization way way more efficient. I guess it's just a

1186
01:02:24,520 --> 01:02:28,360
Speaker 2: matter of trusting that the trusting the process, as they say,

1187
01:02:28,360 --> 01:02:30,560
Speaker 2: and I don't think a lot of people have trust

1188
01:02:30,600 --> 01:02:31,600
Speaker 2: in the process right now.

1189
01:02:31,640 --> 01:02:34,080
Speaker 1: Well, not to mention, I pulled this article like there's

1190
01:02:34,120 --> 01:02:39,080
Speaker 1: already there's already problems because they've already ten thousand people

1191
01:02:39,120 --> 01:02:41,200
Speaker 1: have already been sort of like pushed toward the exit

1192
01:02:41,280 --> 01:02:42,520
Speaker 1: and decided to take the fork in.

1193
01:02:42,480 --> 01:02:43,760
Speaker 3: The road or whatever offer.

1194
01:02:44,240 --> 01:02:47,960
Speaker 1: And already they are struggling to meet these, you know,

1195
01:02:48,200 --> 01:02:53,120
Speaker 1: mandated deadlines for how fast product reviews are supposed to

1196
01:02:53,200 --> 01:02:56,760
Speaker 1: go through with regard to medical devices and some new

1197
01:02:56,800 --> 01:02:59,760
Speaker 1: tobacco products, apparently, and some of the new people that

1198
01:02:59,800 --> 01:03:03,800
Speaker 1: they had brought in, according to this article, had sort

1199
01:03:03,840 --> 01:03:08,000
Speaker 1: of these technical skills with regard to evaluating some new

1200
01:03:08,080 --> 01:03:13,000
Speaker 1: e cigarettes are doing age verification, and so some of

1201
01:03:13,040 --> 01:03:14,800
Speaker 1: the people who were kind of at the leading edge

1202
01:03:14,840 --> 01:03:17,640
Speaker 1: of regulating these things, they were in the probationary period,

1203
01:03:17,800 --> 01:03:21,520
Speaker 1: so they are out. But this also includes reviews on

1204
01:03:21,720 --> 01:03:26,320
Speaker 1: medical devices, etc. And so you know, this is before

1205
01:03:26,960 --> 01:03:30,680
Speaker 1: we get the mass cuts that Kennedy is planning. Here

1206
01:03:30,720 --> 01:03:33,640
Speaker 1: the additional ten thousand mass cuts that he's planning. And

1207
01:03:33,720 --> 01:03:37,800
Speaker 1: we also know that they had to scramble and rehire

1208
01:03:38,240 --> 01:03:41,240
Speaker 1: a bunch of people that they had fired over medical

1209
01:03:41,240 --> 01:03:42,280
Speaker 1: devices was one piece.

1210
01:03:42,320 --> 01:03:43,920
Speaker 3: Another piece was we have.

1211
01:03:43,960 --> 01:03:49,080
Speaker 1: This massive bird flu epidemic that has been spreading like wildfire,

1212
01:03:49,520 --> 01:03:52,200
Speaker 1: and some of the people that were tracking that were fired,

1213
01:03:52,440 --> 01:03:54,040
Speaker 1: and then they're like, oh my god, maybe we need

1214
01:03:54,080 --> 01:03:54,479
Speaker 1: those people.

1215
01:03:54,560 --> 01:03:55,320
Speaker 3: Let's bring them back.

1216
01:03:55,840 --> 01:03:59,040
Speaker 1: So you know, how many more instances of that are

1217
01:03:59,040 --> 01:04:01,720
Speaker 1: there going to be, and how many instances where they

1218
01:04:01,720 --> 01:04:04,320
Speaker 1: don't realize these people were important, they don't get rehired,

1219
01:04:04,440 --> 01:04:08,160
Speaker 1: and they're effectively playing with fire here Ryan that you

1220
01:04:08,160 --> 01:04:13,200
Speaker 1: could have some completely disastrous situation that falls directly into

1221
01:04:13,480 --> 01:04:14,040
Speaker 1: their lap.

1222
01:04:15,040 --> 01:04:18,240
Speaker 4: And while they're trying to root out waste forrau an abuse,

1223
01:04:18,400 --> 01:04:23,280
Speaker 4: they're probably engaged in one of the most wasteful government

1224
01:04:23,320 --> 01:04:26,240
Speaker 4: practices in the history of the government. Like they are,

1225
01:04:26,680 --> 01:04:29,400
Speaker 4: they've taken tens of thousands of people and put them

1226
01:04:29,400 --> 01:04:32,160
Speaker 4: on administrative leave first for a very long time before

1227
01:04:32,240 --> 01:04:36,320
Speaker 4: firing them. So that means that the time but doing nothing, yeah,

1228
01:04:36,320 --> 01:04:40,040
Speaker 4: bitting them, not working. The rest of the people are

1229
01:04:40,080 --> 01:04:44,200
Speaker 4: then scrambling to develop these new plans to lay off,

1230
01:04:44,880 --> 01:04:48,600
Speaker 4: you know, more people going forward. They're spending a non

1231
01:04:48,600 --> 01:04:51,040
Speaker 4: trivial amount of their time doing their five bullets, which

1232
01:04:51,080 --> 01:04:54,640
Speaker 4: adds extra bureaucratic paperwork. If you work for the federal government,

1233
01:04:54,960 --> 01:04:59,080
Speaker 4: you do too much bureaucracy already, too much filling in

1234
01:04:59,160 --> 01:05:03,040
Speaker 4: five buckets whatever, right like that, that's the problem with

1235
01:05:03,120 --> 01:05:06,240
Speaker 4: the federal government. Layering another one on top of that,

1236
01:05:07,920 --> 01:05:09,880
Speaker 4: you know, just creates more and then and then they're

1237
01:05:09,960 --> 01:05:12,800
Speaker 4: meeting about these reorganization plans, and then like you said,

1238
01:05:12,840 --> 01:05:16,840
Speaker 4: they're going back and then rehiring people who they who

1239
01:05:16,880 --> 01:05:20,760
Speaker 4: they fired hastily. And that's before we get to the

1240
01:05:20,800 --> 01:05:23,720
Speaker 4: I R S, which, of course is you know, every

1241
01:05:23,840 --> 01:05:27,120
Speaker 4: dollar you cut, there is many dollars that you're that

1242
01:05:27,160 --> 01:05:30,360
Speaker 4: you're not getting getting in. So you know, dog is

1243
01:05:31,360 --> 01:05:34,640
Speaker 4: really you know, producing an enormous amount of waste, fraud,

1244
01:05:34,640 --> 01:05:35,080
Speaker 4: and abuse.

1245
01:05:37,200 --> 01:05:39,720
Speaker 2: Well, I mean, this is one of the tough things.

1246
01:05:39,760 --> 01:05:41,000
Speaker 2: I don't know if you guys saw the clip that's

1247
01:05:41,040 --> 01:05:44,440
Speaker 2: going around of Ezra Cline explaining like a very bureaucratic

1248
01:05:44,600 --> 01:05:47,439
Speaker 2: process for I think this is for broadband to John

1249
01:05:47,480 --> 01:05:49,320
Speaker 2: Stewart and John Stuar is just losing his mind. It's

1250
01:05:49,320 --> 01:05:52,720
Speaker 2: like a fourteen step process and it is laughable and infuriating.

1251
01:05:52,960 --> 01:05:55,520
Speaker 2: And that's like, genuinely, one of the tough things about

1252
01:05:55,520 --> 01:05:59,800
Speaker 2: all of this is that there is there's a desperate

1253
01:06:00,400 --> 01:06:05,640
Speaker 2: to actually reform the American bureaucracy. And on the right

1254
01:06:05,840 --> 01:06:08,680
Speaker 2: it's like who else is going to do this? I mean,

1255
01:06:08,720 --> 01:06:10,880
Speaker 2: they like nobody else ever wants to do this because

1256
01:06:10,920 --> 01:06:13,280
Speaker 2: there are a lot of special interests that protect every

1257
01:06:13,360 --> 01:06:16,720
Speaker 2: layer of the American bureaucracy and influence every layer of

1258
01:06:16,720 --> 01:06:21,160
Speaker 2: the American bureaucracy. It's lobbyists, it's you know, unions, and

1259
01:06:21,200 --> 01:06:23,760
Speaker 2: like this this does happen. There are a lot of

1260
01:06:23,760 --> 01:06:25,960
Speaker 2: special interests that have made our process the way that

1261
01:06:26,000 --> 01:06:29,400
Speaker 2: it is. And it sucks. And it's like, is this

1262
01:06:29,520 --> 01:06:32,560
Speaker 2: really the guy because it doesn't have to be him.

1263
01:06:32,960 --> 01:06:35,720
Speaker 4: If they were trying to do that, great, but there's

1264
01:06:35,760 --> 01:06:38,920
Speaker 4: no there's no there's no sense that that's the direction

1265
01:06:38,960 --> 01:06:41,080
Speaker 4: they're going. And I agree, like right in my neighborhood,

1266
01:06:41,640 --> 01:06:44,480
Speaker 4: we moved here in twenty twelve, and this giant grocery

1267
01:06:44,520 --> 01:06:46,840
Speaker 4: store closed then, and they said they were going to

1268
01:06:46,880 --> 01:06:50,800
Speaker 4: replace it with like condos at the top and then

1269
01:06:50,960 --> 01:06:53,160
Speaker 4: you know, grow another grocery store and shops underneath. It

1270
01:06:53,200 --> 01:06:57,680
Speaker 4: going to be a big development. They just started construction today.

1271
01:06:57,680 --> 01:07:01,440
Speaker 4: It's twenty twenty five. It took thirteen years. China built

1272
01:07:01,440 --> 01:07:05,760
Speaker 4: probably twenty five cities between that time and now, and

1273
01:07:06,040 --> 01:07:08,760
Speaker 4: my neighborhood couldn't build you know, one hundred and seventy

1274
01:07:08,760 --> 01:07:12,000
Speaker 4: two condos or whatever whatever the number is. So it

1275
01:07:12,080 --> 01:07:15,240
Speaker 4: is a problem. But just going in and like firing

1276
01:07:15,320 --> 01:07:19,400
Speaker 4: half of the Noah scientists is not the solution.

1277
01:07:20,160 --> 01:07:22,520
Speaker 1: In fact, if you want to deal with that problem,

1278
01:07:22,840 --> 01:07:25,680
Speaker 1: you need to both cut some of the you know,

1279
01:07:25,800 --> 01:07:30,880
Speaker 1: regulations that are unnecessary and timely and build government capacity.

1280
01:07:31,640 --> 01:07:34,880
Speaker 1: Like I mean, that's the FDA example is a perfect one.

1281
01:07:35,160 --> 01:07:37,560
Speaker 1: Like they didn't get rid of any of the regulations.

1282
01:07:37,840 --> 01:07:40,919
Speaker 1: You just now have fewer regulators to actually go through

1283
01:07:40,960 --> 01:07:45,000
Speaker 1: that process. And so now your medical device approval process

1284
01:07:45,120 --> 01:07:48,720
Speaker 1: is going to take longer, which is why, like I

1285
01:07:48,720 --> 01:07:53,400
Speaker 1: don't even want to, you know, tolerate these this discussion

1286
01:07:53,400 --> 01:07:54,560
Speaker 1: of oh, this is about efficiency.

1287
01:07:54,600 --> 01:07:57,480
Speaker 3: It's not about efficiency. There is zero evidence that they

1288
01:07:57,560 --> 01:07:59,320
Speaker 3: care about quote unquote efficiency.

1289
01:07:59,480 --> 01:08:02,080
Speaker 1: In fact, they fired the people or forced out the

1290
01:08:02,080 --> 01:08:06,280
Speaker 1: people who were at the digital service thing that they

1291
01:08:06,320 --> 01:08:10,240
Speaker 1: took over, who were actually working on efficiency. Ask the

1292
01:08:10,280 --> 01:08:13,880
Speaker 1: Social Security recipients who now cannot get someone on the phone,

1293
01:08:14,240 --> 01:08:16,439
Speaker 1: or have to wait hours and hours, or have to

1294
01:08:16,439 --> 01:08:19,120
Speaker 1: go into a field office that is being closed, whether

1295
01:08:19,200 --> 01:08:22,360
Speaker 1: their process is now more efficient, right, it's not.

1296
01:08:22,840 --> 01:08:23,559
Speaker 3: What's there?

1297
01:08:23,960 --> 01:08:28,519
Speaker 4: Yeah, social Security has wildly way less fraud than any

1298
01:08:28,560 --> 01:08:33,519
Speaker 4: private payment platform. There's nothing comparable to Social Security but

1299
01:08:34,160 --> 01:08:38,000
Speaker 4: multi billion dollar payment platforms or or other you know,

1300
01:08:38,000 --> 01:08:42,639
Speaker 4: social security like organizations around the world. Our social security

1301
01:08:42,760 --> 01:08:44,840
Speaker 4: is way better than that. And part of that is

1302
01:08:44,840 --> 01:08:48,000
Speaker 4: because we have this Social Security Inspector General's office that

1303
01:08:48,080 --> 01:08:52,519
Speaker 4: is well staffed and takes takes it deeply seriously because

1304
01:08:52,520 --> 01:08:55,880
Speaker 4: they know if anybody ever misses a check like this

1305
01:08:55,960 --> 01:08:59,840
Speaker 4: country will burn. And so they are deeply dedicated to

1306
01:08:59,840 --> 01:09:02,439
Speaker 4: making sure checks go out at the right time and

1307
01:09:02,479 --> 01:09:04,320
Speaker 4: they go to the right people. In fact, one of

1308
01:09:04,360 --> 01:09:07,440
Speaker 4: the things they gotten criticized for is being too aggressive.

1309
01:09:08,000 --> 01:09:12,040
Speaker 4: If somebody dies and they get like two months worth

1310
01:09:12,040 --> 01:09:16,280
Speaker 4: of checks after that, social Security will pretty relentlessly go

1311
01:09:16,360 --> 01:09:20,040
Speaker 4: after the estate to get the like five thousand dollars back,

1312
01:09:20,479 --> 01:09:22,400
Speaker 4: and the family is like, come on, man, like what

1313
01:09:23,160 --> 01:09:26,880
Speaker 4: are you doing right? Relax And Congress even was like, guys,

1314
01:09:27,160 --> 01:09:30,320
Speaker 4: relax a little bit, give a thirty day grace after

1315
01:09:30,360 --> 01:09:33,360
Speaker 4: they die. Soal Security, He's like, no, zero, we want

1316
01:09:33,600 --> 01:09:37,120
Speaker 4: absolutely zero fraud. What is Musk done. He's tried to

1317
01:09:37,160 --> 01:09:41,960
Speaker 4: fire twenty percent of the IG's office, aimed that has

1318
01:09:42,000 --> 01:09:48,080
Speaker 4: so successfully made this a pretty fraud free program and

1319
01:09:48,200 --> 01:09:52,680
Speaker 4: instead pretended that it's rife with fraud. He said that

1320
01:09:52,680 --> 01:09:55,040
Speaker 4: there were millions of people you know, getting you know,

1321
01:09:55,120 --> 01:09:57,920
Speaker 4: checks who are two hundred years old. They looked into

1322
01:09:57,960 --> 01:09:59,320
Speaker 4: it and they found that there were I think were

1323
01:09:59,360 --> 01:10:03,240
Speaker 4: two hundred and one people who were dead who were

1324
01:10:03,240 --> 01:10:08,320
Speaker 4: still getting checks out of hundreds, like what hundreds of

1325
01:10:08,360 --> 01:10:10,719
Speaker 4: millions of people who've gotten solid security over the last

1326
01:10:11,320 --> 01:10:15,960
Speaker 4: almost one hundred years. And so like to cut when

1327
01:10:15,960 --> 01:10:19,200
Speaker 4: you're cutting the igs whose job it is to cut

1328
01:10:19,200 --> 01:10:21,760
Speaker 4: out fraud and who have successfully done it done so

1329
01:10:22,920 --> 01:10:25,080
Speaker 4: you're not serious about cutting it out fraud.

1330
01:10:24,920 --> 01:10:26,960
Speaker 3: It's not the goal, Like that is not the goal.

1331
01:10:27,080 --> 01:10:28,559
Speaker 3: There are a number of different goals.

1332
01:10:28,840 --> 01:10:31,879
Speaker 1: One of them is to destroy government capacity to regulate

1333
01:10:31,880 --> 01:10:35,639
Speaker 1: big business. They've dropped a quarter of all enforcement cases,

1334
01:10:35,640 --> 01:10:38,960
Speaker 1: gutt to the CFPB, you know, totally defenestray the SEC,

1335
01:10:39,360 --> 01:10:42,360
Speaker 1: gutted the IRS so they can't you know, collect taxes

1336
01:10:42,400 --> 01:10:43,400
Speaker 1: of billionaires, et cetera.

1337
01:10:43,560 --> 01:10:44,719
Speaker 3: Like that's one goal.

1338
01:10:45,400 --> 01:10:48,559
Speaker 1: Another goal is just like an ideological anti government project.

1339
01:10:48,800 --> 01:10:51,599
Speaker 1: So if government doesn't work, then that justifies more cuts

1340
01:10:51,640 --> 01:10:55,320
Speaker 1: to government. Another goal is being able to make available

1341
01:10:55,439 --> 01:10:58,000
Speaker 1: more cash for you know, tax cuts and subsidies for

1342
01:10:58,160 --> 01:11:01,280
Speaker 1: people like Elon Musk. Another is for him to be

1343
01:11:01,400 --> 01:11:05,960
Speaker 1: able to have direct control over agencies that have tried

1344
01:11:06,000 --> 01:11:09,439
Speaker 1: to regulate his businesses or investigated his businesses, or to

1345
01:11:09,479 --> 01:11:12,600
Speaker 1: be able to gobble up any sort of contracts of subsidies,

1346
01:11:12,720 --> 01:11:14,200
Speaker 1: screw over his competitors, et cetera.

1347
01:11:14,439 --> 01:11:17,080
Speaker 3: Those are the goals. Like efficiency is not a goal.

1348
01:11:17,280 --> 01:11:21,000
Speaker 1: Efficiency is the packaging, but it is has nothing to

1349
01:11:21,080 --> 01:11:24,800
Speaker 1: do with the project that they are actually engaged at.

1350
01:11:24,840 --> 01:11:26,640
Speaker 1: If you look at not what they say, but what

1351
01:11:26,720 --> 01:11:29,360
Speaker 1: they are actually doing in the impact that it's having

1352
01:11:29,360 --> 01:11:31,400
Speaker 1: on got rhy. I mean, you know, to to just

1353
01:11:31,439 --> 01:11:34,639
Speaker 1: take it back real quick to the abundance discourse. Here,

1354
01:11:35,600 --> 01:11:39,840
Speaker 1: they killed this project that was ready to go or

1355
01:11:39,880 --> 01:11:41,800
Speaker 1: had already run. You know the details of this, these

1356
01:11:41,840 --> 01:11:45,439
Speaker 1: EV chargers that were already like being installed, like this

1357
01:11:45,640 --> 01:11:48,679
Speaker 1: was you know, building out they were abundant style away

1358
01:11:48,720 --> 01:11:49,320
Speaker 1: and they're.

1359
01:11:49,120 --> 01:11:52,920
Speaker 4: Like they took the Trump administration took EV chargers that

1360
01:11:52,960 --> 01:11:55,760
Speaker 4: were in on federal land and in federal buildings that

1361
01:11:55,760 --> 01:12:00,320
Speaker 4: were already installed and rip them out, took just took

1362
01:12:00,400 --> 01:12:05,320
Speaker 4: them out, spent money to destroy infrastructure that was already created. Yeah,

1363
01:12:05,479 --> 01:12:07,879
Speaker 4: So if they don't like evs.

1364
01:12:07,560 --> 01:12:10,640
Speaker 1: Or whatever, if the idea is like I mean, the

1365
01:12:10,640 --> 01:12:13,479
Speaker 1: abundance idea, which I have issues with putting this at

1366
01:12:13,479 --> 01:12:15,800
Speaker 1: the center democratic discourse, whatever, But to be fair to them,

1367
01:12:15,800 --> 01:12:17,799
Speaker 1: their idea is like we need to make it easier

1368
01:12:17,800 --> 01:12:20,519
Speaker 1: to build. That is not what's going on here. They're

1369
01:12:20,560 --> 01:12:23,160
Speaker 1: making it easier for robber barons to steal from the

1370
01:12:23,200 --> 01:12:26,800
Speaker 1: public purse and get away with crimes that they're making

1371
01:12:26,840 --> 01:12:29,639
Speaker 1: it easier to do, but to actually like build out

1372
01:12:29,720 --> 01:12:33,520
Speaker 1: infrastructure or some sort of like capacity or government ability

1373
01:12:33,560 --> 01:12:36,280
Speaker 1: to respond to challenge and No, that is the polar

1374
01:12:36,280 --> 01:12:37,719
Speaker 1: opposite of what is going on here.

1375
01:12:41,240 --> 01:12:42,679
Speaker 2: I gets.

1376
01:12:45,560 --> 01:12:48,720
Speaker 4: Somebody shared China is like by twenty thirty they're going

1377
01:12:48,760 --> 01:12:50,679
Speaker 4: to have some fusion fission nuclear reactor.

1378
01:12:50,880 --> 01:12:53,160
Speaker 1: Yeah, or no was writing about that. Yeah, that would

1379
01:12:53,160 --> 01:12:55,519
Speaker 1: be like you know, I mean that China is just

1380
01:12:55,760 --> 01:12:58,599
Speaker 1: like we like to pretend that like, oh, we still

1381
01:12:58,600 --> 01:13:00,679
Speaker 1: got the edge, but they're like nipping at our heels.

1382
01:13:00,840 --> 01:13:03,080
Speaker 1: I mean, they're just kicking our ass at this point, right,

1383
01:13:03,080 --> 01:13:06,200
Speaker 1: it's not close. The real AI arms race is probably

1384
01:13:06,240 --> 01:13:09,240
Speaker 1: going to be between different companies in China. The real

1385
01:13:09,280 --> 01:13:13,680
Speaker 1: EB arms race is between companies different companies in China.

1386
01:13:13,760 --> 01:13:16,040
Speaker 2: I do think it's like it's one of the things

1387
01:13:16,040 --> 01:13:20,280
Speaker 2: that it's frustrating, and I don't like when people on

1388
01:13:20,320 --> 01:13:26,720
Speaker 2: the right just completely enjoy the left wandering through the wilderness,

1389
01:13:26,760 --> 01:13:29,480
Speaker 2: because if we had a healthy political climate, your options

1390
01:13:29,520 --> 01:13:34,080
Speaker 2: wouldn't be the Biden administration's insane fourteen step process to

1391
01:13:34,120 --> 01:13:36,960
Speaker 2: put in broadband and Elon Musk like, we have the

1392
01:13:37,000 --> 01:13:39,000
Speaker 2: worst of both worlds right now, and so people are

1393
01:13:39,000 --> 01:13:43,040
Speaker 2: being asked to choose between a Democratic party that defends

1394
01:13:43,120 --> 01:13:47,639
Speaker 2: this process and Elon Musk, who doesn't give a damn

1395
01:13:47,840 --> 01:13:53,280
Speaker 2: about whether the ends go to the right means. So it's, yeah,

1396
01:13:53,520 --> 01:13:54,480
Speaker 2: everything sucks.

1397
01:13:55,520 --> 01:13:57,479
Speaker 1: I got one last last one to put up here

1398
01:13:57,479 --> 01:13:59,559
Speaker 1: that just, you know, I think demonstrates the kind of

1399
01:13:59,600 --> 01:14:04,439
Speaker 1: short like penny wise pound foolish approach here and maybe

1400
01:14:04,520 --> 01:14:07,840
Speaker 1: have a different view, Emily, But US is ending money

1401
01:14:07,880 --> 01:14:12,160
Speaker 1: for this vaccine fund to help get kids inoculated around

1402
01:14:12,240 --> 01:14:14,920
Speaker 1: the world, and you know, in the grand scheme of

1403
01:14:14,960 --> 01:14:18,439
Speaker 1: the federal budget, this is like literally pennies but has

1404
01:14:18,760 --> 01:14:22,800
Speaker 1: massive impact on millions and millions of people. It says

1405
01:14:22,800 --> 01:14:25,599
Speaker 1: the Trump administration tends to terminate the US financial support

1406
01:14:25,600 --> 01:14:28,240
Speaker 1: for Gaviy, the organization that's helped purchase critical vaccines for

1407
01:14:28,320 --> 01:14:30,519
Speaker 1: kids in developing countries, saving millions of lives of the

1408
01:14:30,520 --> 01:14:33,559
Speaker 1: past quarter century, and to significantly scale back support for

1409
01:14:33,600 --> 01:14:36,760
Speaker 1: efforts to combat malaria, one of the biggest killers globally.

1410
01:14:36,840 --> 01:14:38,559
Speaker 1: And it's just like, I don't know. I look at

1411
01:14:38,560 --> 01:14:40,679
Speaker 1: this ry and I'm like, do we think we don't

1412
01:14:40,680 --> 01:14:43,040
Speaker 1: also live in this world? Like do we think that

1413
01:14:43,120 --> 01:14:45,680
Speaker 1: none of this has any Like did we not just

1414
01:14:45,760 --> 01:14:49,040
Speaker 1: live through a pandemic and see very clearly how the

1415
01:14:49,080 --> 01:14:51,080
Speaker 1: things that happen on the other side of the world

1416
01:14:51,320 --> 01:14:53,720
Speaker 1: lo and behold can have an impact on us too.

1417
01:14:54,280 --> 01:14:57,200
Speaker 3: And so it seems to me both just like cruel

1418
01:14:57,360 --> 01:14:58,400
Speaker 3: and foolish.

1419
01:14:58,439 --> 01:15:03,519
Speaker 1: And we'll have zero wrote impact whatsoever on our debt

1420
01:15:03,560 --> 01:15:05,960
Speaker 1: and our deficit if that was indeed any sort of

1421
01:15:05,960 --> 01:15:06,920
Speaker 1: real priority for them.

1422
01:15:07,360 --> 01:15:10,240
Speaker 4: Yeah, And the compromise here has always been that the

1423
01:15:10,280 --> 01:15:16,519
Speaker 4: world will allow us to continue with this draconian patent

1424
01:15:16,600 --> 01:15:23,200
Speaker 4: system that takes very easily producible medicines and vaccines and

1425
01:15:23,479 --> 01:15:27,000
Speaker 4: makes them unaffordable for half or more of the world,

1426
01:15:27,720 --> 01:15:34,680
Speaker 4: and in exchange, we will provide very affordable access for

1427
01:15:35,160 --> 01:15:38,040
Speaker 4: not half the world, but the poorest of the poor.

1428
01:15:38,760 --> 01:15:41,519
Speaker 4: So that's sort of the balancing act. Like we we

1429
01:15:41,640 --> 01:15:43,760
Speaker 4: over here in the United States will get to get

1430
01:15:44,360 --> 01:15:47,559
Speaker 4: we being the pharmaceutical companies, get to get very and

1431
01:15:47,640 --> 01:15:51,559
Speaker 4: new Jersey, we'll get to get very rich, and we'll

1432
01:15:51,560 --> 01:15:55,400
Speaker 4: make sure that as a product of that, we're not

1433
01:15:55,479 --> 01:15:59,200
Speaker 4: killing hundreds of millions of people from present preventable illnesses.

1434
01:16:00,040 --> 01:16:02,200
Speaker 4: And some people will die of preventable illnesses, but it

1435
01:16:02,200 --> 01:16:04,920
Speaker 4: won't be hundreds of millions, and just be maybe hundreds

1436
01:16:04,960 --> 01:16:08,719
Speaker 4: of thousands, and and we'll call that charity and foreign aid.

1437
01:16:09,800 --> 01:16:12,840
Speaker 4: And when what it is, of course, is propping up

1438
01:16:12,840 --> 01:16:15,639
Speaker 4: our unequal system that keeps us rich and keeps them poor.

1439
01:16:16,560 --> 01:16:19,759
Speaker 4: So we're now ripping that up. And so we're telling

1440
01:16:19,800 --> 01:16:22,600
Speaker 4: the world that the deal is we are going to

1441
01:16:22,600 --> 01:16:27,160
Speaker 4: get fabulously rich. We're going to artificially keep the price

1442
01:16:27,240 --> 01:16:31,760
Speaker 4: of these medicines and vaccines at such extraordinary levels and

1443
01:16:31,920 --> 01:16:36,000
Speaker 4: at the at the barrel of a gun that hundreds

1444
01:16:36,000 --> 01:16:39,679
Speaker 4: of millions of people could die, millions, tens, millions, hundreds,

1445
01:16:39,680 --> 01:16:41,640
Speaker 4: like enormous numbers of people could die from these very

1446
01:16:41,680 --> 01:16:46,799
Speaker 4: treatable illnesses, and pretend that those that that that won't

1447
01:16:46,800 --> 01:16:48,880
Speaker 4: come over here and hurt the United States. That's this

1448
01:16:48,920 --> 01:16:52,600
Speaker 4: is even a separate question. And we're daring the world

1449
01:16:53,040 --> 01:16:58,080
Speaker 4: to not revolt against that. And we're doing it while

1450
01:16:58,240 --> 01:17:01,520
Speaker 4: Russi and China are both you know, becoming more influential

1451
01:17:01,560 --> 01:17:06,240
Speaker 4: around the world. And so I would say that like that,

1452
01:17:06,400 --> 01:17:09,639
Speaker 4: we cut that bar We cut that bargain for a reason,

1453
01:17:10,439 --> 01:17:12,640
Speaker 4: Like our elites cut that bargain for a reason. We

1454
01:17:12,720 --> 01:17:17,240
Speaker 4: thought it was beneficial to keeping inequality alive and well

1455
01:17:17,280 --> 01:17:21,360
Speaker 4: around the world and keeping us rich. We didn't. Our

1456
01:17:21,400 --> 01:17:24,240
Speaker 4: elites did not cut that bargain because they're soft hearted.

1457
01:17:26,280 --> 01:17:28,480
Speaker 3: Yeah right, so okay.

1458
01:17:28,160 --> 01:17:31,640
Speaker 4: Now you're going to rip that up. See how it

1459
01:17:31,680 --> 01:17:32,599
Speaker 4: goes for us?

1460
01:17:33,040 --> 01:17:36,120
Speaker 2: Yeah, I mean, I think I do have a slightly

1461
01:17:36,160 --> 01:17:38,960
Speaker 2: different perspective on this. I think this will be a gap.

1462
01:17:39,040 --> 01:17:42,120
Speaker 2: They're already private, like Mark Cuban is already trying to

1463
01:17:42,320 --> 01:17:45,080
Speaker 2: make up the difference with private funding for a lot

1464
01:17:45,080 --> 01:17:48,960
Speaker 2: of these programs that the United States used as foreign

1465
01:17:49,040 --> 01:17:52,840
Speaker 2: policy tools but were actually the call is they would

1466
01:17:52,840 --> 01:17:56,840
Speaker 2: call charitable, but we're actually using and deploying selectively as

1467
01:17:56,880 --> 01:17:59,720
Speaker 2: foreign policy tools in a way that wasn't actually all

1468
01:17:59,720 --> 01:18:02,519
Speaker 2: that well, probably did some really wonderful things, clearly did

1469
01:18:02,560 --> 01:18:04,519
Speaker 2: some really wonderful things, and still does do some really

1470
01:18:04,520 --> 01:18:07,080
Speaker 2: wonderful things, but was being deployed in a sort of

1471
01:18:07,080 --> 01:18:10,160
Speaker 2: cynical and selective way for the sake of the American Empire,

1472
01:18:10,400 --> 01:18:14,639
Speaker 2: and so I do expect that you know, American charity

1473
01:18:14,760 --> 01:18:18,160
Speaker 2: will probably make up the gap. And the COVID example,

1474
01:18:18,160 --> 01:18:21,800
Speaker 2: to me is actually an interesting one because we framed

1475
01:18:22,040 --> 01:18:26,400
Speaker 2: our wonderful grant to the Wuhan Laboratory, as you know,

1476
01:18:26,439 --> 01:18:30,680
Speaker 2: being in the name of academic personage in research. Yeah, exactly.

1477
01:18:30,760 --> 01:18:34,880
Speaker 2: And so I mean that this stuff doesn't bother me

1478
01:18:35,000 --> 01:18:39,839
Speaker 2: quite as much, assuming that they already there are already

1479
01:18:39,840 --> 01:18:42,080
Speaker 2: people in place who will make up the difference.

1480
01:18:42,120 --> 01:18:45,880
Speaker 4: But I also see, I say, more likely you know, Russia, China,

1481
01:18:45,920 --> 01:18:49,320
Speaker 4: India and generics will just be like, you know what,

1482
01:18:49,640 --> 01:18:52,519
Speaker 4: we don't respect this copyright system of yours anymore. You

1483
01:18:52,600 --> 01:18:56,559
Speaker 4: made these drugs, we're stealing the copyright. It's also you

1484
01:18:56,600 --> 01:19:00,680
Speaker 4: are pirates, you are scoundrels. F off, We're just we're

1485
01:19:00,720 --> 01:19:03,519
Speaker 4: stealing it. We're going to make them ourselves, and we're

1486
01:19:03,560 --> 01:19:06,360
Speaker 4: going to sell them for pennies around Africa, and we're

1487
01:19:06,360 --> 01:19:08,400
Speaker 4: going to sell them in exchange for nickel and cobalt

1488
01:19:08,439 --> 01:19:12,680
Speaker 4: and other rare earths. And you all can just go

1489
01:19:12,720 --> 01:19:15,840
Speaker 4: sit and spin, you know, since and we're also going

1490
01:19:15,920 --> 01:19:19,439
Speaker 4: to buy stuff from Canada because you've like pissed off

1491
01:19:19,479 --> 01:19:21,679
Speaker 4: Canada for god knows why.

1492
01:19:22,520 --> 01:19:26,480
Speaker 2: Yeah, it's decades of like emotional blackmail from the imperialists

1493
01:19:26,520 --> 01:19:28,519
Speaker 2: that have built up and people in the third world

1494
01:19:28,560 --> 01:19:30,759
Speaker 2: are caught in the middle, and it's like the American

1495
01:19:30,760 --> 01:19:33,960
Speaker 2: people are like, well, this is cynical and selective, and

1496
01:19:34,000 --> 01:19:36,280
Speaker 2: so much of it is done under the surface, and

1497
01:19:36,320 --> 01:19:38,599
Speaker 2: then the people in the third world are the ones

1498
01:19:38,640 --> 01:19:41,839
Speaker 2: who continue to get screwed because of the American political process.

1499
01:19:42,360 --> 01:19:45,439
Speaker 1: To me, it's another instance of like taking a system

1500
01:19:45,479 --> 01:19:47,360
Speaker 1: that's bad in the ways that you guys both lay

1501
01:19:47,400 --> 01:19:49,400
Speaker 1: out and just making it worse. So it's like, oh,

1502
01:19:49,400 --> 01:19:51,679
Speaker 1: we're going to keep our patents, we're going to keep

1503
01:19:51,840 --> 01:19:54,160
Speaker 1: you know, we're going to keep blackmailing you in this way,

1504
01:19:54,240 --> 01:19:57,640
Speaker 1: and now you're just like instead of us making this

1505
01:19:57,720 --> 01:20:00,439
Speaker 1: deal where now these kids will be safe, didn't have

1506
01:20:00,520 --> 01:20:04,960
Speaker 1: vaccines and not die from easily preventable diseases, now they're

1507
01:20:05,040 --> 01:20:06,800
Speaker 1: just going to die and we're going to get rich.

1508
01:20:07,320 --> 01:20:09,439
Speaker 1: So that's you know, it seems to me the theme

1509
01:20:10,040 --> 01:20:13,000
Speaker 1: of a lot of what the Trump administration has done

1510
01:20:13,080 --> 01:20:14,559
Speaker 1: and the way that they've sold it, because they can

1511
01:20:14,600 --> 01:20:16,400
Speaker 1: point to these things that are like, oh, you know,

1512
01:20:16,600 --> 01:20:18,160
Speaker 1: I mean, they wouldn't. I don't think they'd explain it

1513
01:20:18,160 --> 01:20:19,960
Speaker 1: the way we're in did because they don't care about

1514
01:20:20,000 --> 01:20:22,040
Speaker 1: the like they're in favor of the profits and the

1515
01:20:22,040 --> 01:20:24,760
Speaker 1: patents and the exploitation and all of that. But they

1516
01:20:24,800 --> 01:20:27,320
Speaker 1: can certainly point to the way that USAID has been

1517
01:20:27,560 --> 01:20:31,720
Speaker 1: cynically weaponized on behalf of empire while also building their

1518
01:20:31,720 --> 01:20:35,760
Speaker 1: own imperial projects. Yeah, and threatening Greenland and you know,

1519
01:20:35,960 --> 01:20:39,800
Speaker 1: Canada and planning a war with Mexico and you know,

1520
01:20:39,880 --> 01:20:42,920
Speaker 1: bombing the Hoofis and all these sorts of things. Yeah,

1521
01:20:44,160 --> 01:20:46,000
Speaker 1: anything else you guys are taking a look at today

1522
01:20:46,040 --> 01:20:46,920
Speaker 1: before we wrap here.

1523
01:20:47,360 --> 01:20:48,760
Speaker 2: No, I just wanted to say I spoke to two

1524
01:20:48,760 --> 01:20:52,559
Speaker 2: different groups of students this week, and it's insane how

1525
01:20:52,720 --> 01:20:54,400
Speaker 2: like it's just cool they come up to like they're

1526
01:20:54,439 --> 01:20:56,439
Speaker 2: the og hipsters of breaking points. So they'll be like,

1527
01:20:56,439 --> 01:20:59,960
Speaker 2: we've been watching since Rising. I feel like, you know.

1528
01:21:01,320 --> 01:21:03,720
Speaker 1: Yeah, I feel like everybody always says like, oh, we've

1529
01:21:03,720 --> 01:21:06,320
Speaker 1: been watching guys and rides. Surely not everybody has been

1530
01:21:06,320 --> 01:21:08,400
Speaker 1: watching us since Rising. But I do feel like they

1531
01:21:08,439 --> 01:21:10,120
Speaker 1: love to claim that, which is cool.

1532
01:21:10,520 --> 01:21:13,320
Speaker 2: No, it's cool, like the students just it's cool to

1533
01:21:13,360 --> 01:21:16,519
Speaker 2: be around college students who have kind of grown up

1534
01:21:16,600 --> 01:21:19,559
Speaker 2: with the show and just wanted to shout out all

1535
01:21:19,560 --> 01:21:22,559
Speaker 2: those guys because we appreciate them and appreciate them watching.

1536
01:21:23,040 --> 01:21:25,560
Speaker 1: Did you get any vibes from them, Emily about like

1537
01:21:25,600 --> 01:21:28,519
Speaker 1: the campus crackdown staff and the arrests that are happening.

1538
01:21:29,120 --> 01:21:31,720
Speaker 2: Yeah, you know, it was interesting because I feel like

1539
01:21:31,760 --> 01:21:33,920
Speaker 2: the pendulum is sort of swinging, or it's like conservative

1540
01:21:33,960 --> 01:21:36,800
Speaker 2: students ten years ago. I graduated college ten years ago,

1541
01:21:36,800 --> 01:21:40,160
Speaker 2: it was like it was hard to talk on campuses

1542
01:21:40,200 --> 01:21:42,600
Speaker 2: and like be comfortable and all of that. And I

1543
01:21:42,760 --> 01:21:44,320
Speaker 2: sort of feel like the kids on the left are

1544
01:21:44,360 --> 01:21:46,840
Speaker 2: the ones that are really experiencing that now. They used

1545
01:21:46,840 --> 01:21:48,800
Speaker 2: to be sort of in control of the crackdown and

1546
01:21:48,840 --> 01:21:51,120
Speaker 2: now they are sort of losing that because there's so

1547
01:21:51,200 --> 01:21:55,320
Speaker 2: much focus on Gaza and that's one issue that they

1548
01:21:55,360 --> 01:21:57,200
Speaker 2: just it's hard to speak freely.

1549
01:21:58,000 --> 01:22:02,400
Speaker 1: Well, yeah, I mean people are literally being disappeared and arrested,

1550
01:22:02,520 --> 01:22:07,040
Speaker 1: kidnapped off the street by masked officers, unidentified officers of

1551
01:22:07,040 --> 01:22:09,800
Speaker 1: the state for you know, with no arrest ward or

1552
01:22:09,960 --> 01:22:12,160
Speaker 1: charges or anything. So yeah, I would say that would

1553
01:22:12,160 --> 01:22:12,960
Speaker 1: have a chilling effect.

1554
01:22:13,600 --> 01:22:14,120
Speaker 2: Definitely.

1555
01:22:15,280 --> 01:22:17,040
Speaker 3: Anything you're looking at Ryan, before we wrap.

1556
01:22:18,439 --> 01:22:26,360
Speaker 4: No, just you know, the world's falling apart. Yeah, yeah, yeah, cool, Yeah,

1557
01:22:26,360 --> 01:22:28,160
Speaker 4: I don't know if Yeah, I know a lot of

1558
01:22:28,200 --> 01:22:32,000
Speaker 4: people have been asking about a walker. People may have

1559
01:22:32,600 --> 01:22:36,439
Speaker 4: noticed he posted, you know, he posts a day like

1560
01:22:36,520 --> 01:22:40,800
Speaker 4: his family is now contemplating they're going to going back

1561
01:22:40,800 --> 01:22:44,280
Speaker 4: to pet food and he's already he's already malnourished.

1562
01:22:44,880 --> 01:22:47,840
Speaker 1: Was he able to get you know, the treatment that

1563
01:22:47,880 --> 01:22:50,000
Speaker 1: he needed for his Oh my god?

1564
01:22:50,160 --> 01:22:53,840
Speaker 4: Now, and you know, we've we've we've got doctors at

1565
01:22:53,840 --> 01:22:55,760
Speaker 4: the hospitals that were in touch with calling around all

1566
01:22:55,760 --> 01:22:59,120
Speaker 4: the pharmacies. There's there's nothing, there's nothing. In god, it's

1567
01:22:59,120 --> 01:23:02,600
Speaker 4: been since March second since anything was allowed to get in.

1568
01:23:02,680 --> 01:23:05,559
Speaker 4: And when you have you know, almost two million people

1569
01:23:06,120 --> 01:23:08,040
Speaker 4: just you know, consuming food and medicine.

1570
01:23:08,840 --> 01:23:09,080
Speaker 5: You know that.

1571
01:23:09,160 --> 01:23:11,439
Speaker 4: I think they're they're a week or two away that

1572
01:23:12,120 --> 01:23:14,040
Speaker 4: un said, they're a week or two away from running

1573
01:23:14,040 --> 01:23:17,800
Speaker 4: out of you cook cooking oil and food basically for

1574
01:23:17,960 --> 01:23:26,120
Speaker 4: even for their charitable kitchens. It's quite it's quite quite bleak. Yeah,

1575
01:23:26,439 --> 01:23:29,519
Speaker 4: it's uh, And I don't don't know where the end

1576
01:23:29,760 --> 01:23:32,800
Speaker 4: is in sight. We Russia. Abu Jalal, one of our

1577
01:23:32,840 --> 01:23:38,240
Speaker 4: reporters in Gaza wrote a piece yesterday that people should read.

1578
01:23:38,280 --> 01:23:40,960
Speaker 4: It's not it's not that long, but it's it's it's

1579
01:23:40,960 --> 01:23:44,080
Speaker 4: good and it's poignant, and it really gets to the heir.

1580
01:23:44,240 --> 01:23:47,200
Speaker 4: Actually I have it right here, really gets really really

1581
01:23:47,240 --> 01:23:51,760
Speaker 4: put it really puts you there. So people just go

1582
01:23:51,840 --> 01:23:54,040
Speaker 4: find that piece. It's just just wild.

1583
01:23:56,040 --> 01:23:57,520
Speaker 3: I can't imagine.

1584
01:23:58,840 --> 01:24:04,479
Speaker 1: As a mom, even just not just but not being

1585
01:24:04,520 --> 01:24:07,920
Speaker 1: able to provide your kids with enough to eat, right,

1586
01:24:08,360 --> 01:24:12,360
Speaker 1: like just imagining the pain of that, let alone everything

1587
01:24:12,400 --> 01:24:16,960
Speaker 1: else that you know, is the torture these people are

1588
01:24:16,960 --> 01:24:21,320
Speaker 1: being put through. Like even that to me is overwhelmingly unimaginable.

1589
01:24:22,080 --> 01:24:25,599
Speaker 1: So and I mean, you know, I watched your coverage

1590
01:24:25,600 --> 01:24:32,200
Speaker 1: of your colleague who was assassinated and his sense that

1591
01:24:33,000 --> 01:24:35,000
Speaker 1: his theory that you know, if the world just knew

1592
01:24:35,040 --> 01:24:38,400
Speaker 1: what was going on, surely they wouldn't let this happen.

1593
01:24:38,960 --> 01:24:43,639
Speaker 1: And how his you know, his connection to that hope

1594
01:24:43,720 --> 01:24:47,479
Speaker 1: was increasingly fading. And it's hard to see it any

1595
01:24:47,479 --> 01:24:50,559
Speaker 1: other way because we all we can all see what's happening,

1596
01:24:50,760 --> 01:24:53,679
Speaker 1: like we we have, you know, we've seen it every day.

1597
01:24:53,960 --> 01:24:58,000
Speaker 1: And now it feels like I think with the Trump

1598
01:24:58,040 --> 01:25:01,120
Speaker 1: administration and now that you know the Israel destroying the

1599
01:25:01,120 --> 01:25:03,960
Speaker 1: ceasefire and being greenlit by the Trump administration, et cetera.

1600
01:25:05,880 --> 01:25:08,559
Speaker 3: Like what hope is there? I don't know. I genuinely

1601
01:25:08,640 --> 01:25:09,160
Speaker 3: don't know.

1602
01:25:09,240 --> 01:25:13,000
Speaker 1: Because it just feels like everybody's sort of given up

1603
01:25:13,080 --> 01:25:16,680
Speaker 1: on being able to do anything different. And you know,

1604
01:25:16,760 --> 01:25:19,439
Speaker 1: now Trump's floated this, say let's ethnic cleanse it, and

1605
01:25:19,479 --> 01:25:21,800
Speaker 1: the Israelis are like, cool, let's do it. That's been

1606
01:25:21,840 --> 01:25:23,439
Speaker 1: our fever dream for a long time. We're going to

1607
01:25:23,520 --> 01:25:25,519
Speaker 1: put together an agency to develop a plan, and that's

1608
01:25:25,560 --> 01:25:27,040
Speaker 1: what's going to happen. We're going to go back to

1609
01:25:27,080 --> 01:25:29,200
Speaker 1: bombing and starving, et cetera. And the world is just like,

1610
01:25:30,080 --> 01:25:33,280
Speaker 1: you know, it's just a shrug, and it cheapens. I mean,

1611
01:25:33,680 --> 01:25:38,920
Speaker 1: the immediate is, of course, the horror that palaestinities are

1612
01:25:38,920 --> 01:25:41,360
Speaker 1: being put through. But it truly does cheap in human

1613
01:25:41,360 --> 01:25:43,960
Speaker 1: life everywhere, it really does, you know. I mean that

1614
01:25:44,000 --> 01:25:47,600
Speaker 1: I mentioned that in the the Yemen bombing, like civilians

1615
01:25:47,600 --> 01:25:50,160
Speaker 1: in an apartment building. It's not even a consideration, not

1616
01:25:50,280 --> 01:25:52,720
Speaker 1: even a considerate, not a mention, not a care, not

1617
01:25:52,840 --> 01:25:55,760
Speaker 1: a concern. And again I'm not like trying to be

1618
01:25:55,880 --> 01:25:59,040
Speaker 1: Pollyanna about the US war machine and the number of

1619
01:25:59,040 --> 01:26:02,559
Speaker 1: civilians that we've killed, et cetera. But it's just like

1620
01:26:02,680 --> 01:26:05,240
Speaker 1: this is just normal operating procedure now to collapse an

1621
01:26:05,400 --> 01:26:08,920
Speaker 1: entire apartment building in order to get one like not

1622
01:26:09,040 --> 01:26:10,800
Speaker 1: that special military target.

1623
01:26:10,880 --> 01:26:13,960
Speaker 4: Ultimately, yeah, yeah, the next week or two is going

1624
01:26:14,040 --> 01:26:18,320
Speaker 4: to be really critical as as supplies you know, fully

1625
01:26:18,400 --> 01:26:21,880
Speaker 4: dwindle like this can't go on.

1626
01:26:23,080 --> 01:26:27,479
Speaker 3: Something has to give, something has to give.

1627
01:26:28,000 --> 01:26:30,800
Speaker 1: Yeah, well, Ryan, thank you so much for filling in

1628
01:26:30,840 --> 01:26:33,120
Speaker 1: for me this week and always this is always for you. Pleasure,

1629
01:26:33,280 --> 01:26:36,360
Speaker 1: extraordinary reporting. Me and Saga great together. It was fun

1630
01:26:36,400 --> 01:26:38,840
Speaker 1: to fun to watch from the outside, and you know,

1631
01:26:38,880 --> 01:26:42,639
Speaker 1: thanks family. She had to run to another thing this morning,

1632
01:26:42,760 --> 01:26:45,519
Speaker 1: but always great catching up with her and hearing her

1633
01:26:45,560 --> 01:26:46,240
Speaker 1: thoughts on things.

1634
01:26:46,320 --> 01:26:48,880
Speaker 3: And hope you guys have a fantastic weekend.

1635
01:26:49,000 --> 01:26:52,160
Speaker 1: I will be back normal shows all that stuff next week,

1636
01:26:52,240 --> 01:26:54,679
Speaker 1: so I will see you then see soon