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

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

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Speaker 2: and we are so excited about what that means for

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Speaker 2: the future of the show.

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Speaker 1: This is the only place where you can find honest

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Speaker 1: perspectives from the left and the right that simply does

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Speaker 1: not exist anywhere else.

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Speaker 2: So if that is something that's important to you, please

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Speaker 2: go to Breakingpoints dot com. Become a member today and

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Speaker 1: We need your help to build the future of independent

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Speaker 1: news media and we hope to see you at Breakingpoints

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Speaker 1: dot com.

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Speaker 2: Good morning, everybody, Happy Friday, and more importantly, happy Commy Takeover.

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Speaker 2: We even have a glorious victory that we can talk

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Speaker 2: about today.

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Speaker 3: That's right. Indeed, yes, we've banished the right wingers from

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Speaker 3: this program. Both sides, just one side.

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Speaker 2: That's right. That's that's right. It's like a DSA meeting.

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Speaker 3: That's right.

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Speaker 2: Still can have some vicious arguments, but you know, allegedly

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Speaker 2: all aligned. Yes, we do have a lot interesting to

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Speaker 2: get to and we're going to start with this New

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Speaker 2: Jersey race, which really kind of came out of nowhere,

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Speaker 2: a lefty win here and a total apac own goal.

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Speaker 2: We got a bunch of Epstein horror to get through,

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Speaker 2: including some new images from the prison the night that

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Speaker 2: he was that he was unlived however that occurred. We've

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Speaker 2: got economic numbers, we've got new Trump election comments in

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Speaker 2: the premium half, we've got the bitcoin drop, we've got

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Speaker 2: some really messy right wing drama that frankly I've been

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Speaker 2: could not take my eyes off of, and some very

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Speaker 2: very charming clips of Zora, Mum Dannie with some young children.

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Speaker 2: So definitely I want to be able to get access

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Speaker 2: to that. So if you're not a premium subscriber and

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Speaker 2: you're able to Breakingpoints dot com and then you get

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Speaker 2: the whole Friday Show and the AMAS and all that

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Speaker 2: good stuff.

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Speaker 4: So we go ahead and jump into this exciting news

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Speaker 4: out of New Jersey. Yes, so this was this was

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Speaker 4: a Tosh go ahead and throw out the results here.

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Speaker 4: But this was a total own goal from sort of

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Speaker 4: the establishment and also a major own goal from APA.

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Speaker 4: So these are the results that we have from New

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Speaker 4: Jersey's eleventh district right now, at least it's showing, and

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Speaker 4: I don't think we're at one hundred percent of the total.

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Speaker 4: It's still sitting at around ninety one point three percent

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Speaker 4: of the expected votes counted right now. But you can

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Speaker 4: see here twenty eight point seven percent by just a

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Speaker 4: couple hundred votes. We had Anna Lilia Mahia or a

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Speaker 4: Mehia who topped out over Tom Melanowski. And neither of

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Speaker 4: these candidates were actually the apac back to candidate who

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Speaker 4: came all the way in third place down here. But Ryan,

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Speaker 4: why don't you go ahead and break down the massive

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Speaker 4: own goal here by a pack and the establishment in this.

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Speaker 3: Yeah, And so the context is this is a super rich,

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Speaker 3: like northern New Jersey suburban district, Like a lot of

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Speaker 3: these people work in New York City. A lot of

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Speaker 3: them are actually like pharmaceutical industry, like pharmaceutical executives like

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Speaker 3: this is this a very kind of funny place for

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Speaker 3: a Bernie Sanders candidate to win?

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Speaker 5: Well?

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Speaker 2: And this was sorry, this was Mikey Cheryl's district. That's

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Speaker 2: the reason they're having this special election exactly. She's now

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Speaker 2: the governor of New Jersey. Now she sort of repositioned

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Speaker 2: herself as more of a populist, but she you know,

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Speaker 2: she very much like was a centrist style candidate, because

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Speaker 2: that was the thought of the type of candidate that

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Speaker 2: would win a Democratic primary and succeed in a general

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Speaker 2: election in this district.

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Speaker 3: Yeah, and so to Tom Malinowski was a former member

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Speaker 3: of Congress. He lost election. He got in some trouble

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Speaker 3: over his stock trading, but otherwise, you know, fairly standard.

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Speaker 3: He has had some background in the human rights world,

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Speaker 3: but other than that was a kind of fairly standard

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Speaker 3: Democrat Mahea longtime activists like this is the kind of

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Speaker 3: person that Chris you probably know her like I've known

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Speaker 3: her for very many years, just as somebody who's been

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Speaker 3: like in the like in the Working Families Party, Bernie Sanders,

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Speaker 3: you know world. She was a top aide to Bernie

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Speaker 3: Sanders during during the campaign, and so when she jumped

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Speaker 3: in kind of of all those people got behind her,

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Speaker 3: which gave her and got behind her early, and Elizabeth

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Speaker 3: Warren also got behind her. So it was like the

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Speaker 3: whole kind of faction was together, you know, AOC Bernie,

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Speaker 3: et cetera. But she had no money, like I think

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Speaker 3: she spent four hundred thousand dollars. And this is the

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Speaker 3: New York media market so you know that's gonna that's

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Speaker 3: going to buy you some mailers, and you know that's

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Speaker 3: you can have some staff. But Apak dropped more than

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Speaker 3: two million dollars, and so what they did they Malinowski.

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Speaker 3: They've supported him in the past, he's been fairly friendly

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Speaker 3: to Israel, but like all Democrats, he's getting a little

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Speaker 3: bit skittish about the relationship with Israel, and so he

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Speaker 3: said some mildly critical things and I think he might

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Speaker 3: have suggested that some weapons systems maybe you ought to

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Speaker 3: get some review at some point. And so they're like,

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Speaker 3: oh no, no.

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Speaker 2: Like what are radical?

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Speaker 3: This too radical? This will not fly. So they dropped

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Speaker 3: more than two million dollars on him at the very

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Speaker 3: end to try to try to crush him. The reason

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Speaker 3: that so many outlets called this in New Jersey for

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Speaker 3: Malinowski and then had to very embarrassingly retract their calls

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Speaker 3: is that he won the early vote fairly decisively. So,

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Speaker 3: in other words, before Apax money has really like landed

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Speaker 3: in the race, he's he's going to comfortably win this race,

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Speaker 3: this three person race. But he then in the election

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Speaker 3: day vote finished third in most places, so they knocked

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Speaker 3: him even behind the also ran APAC candidate, and you

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Speaker 3: started seeing Mahea winning by twenty thirty forty fifty points

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Speaker 3: on election day and it was enough then to overcome

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Speaker 3: the early And so this was something that Jewish insider

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Speaker 3: that recovered the race, they warned about it. Dave Dan

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Speaker 3: was like, and like people watching the race, I saw

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Speaker 3: Adam Green who runs PE Triple C this week, and

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Speaker 3: he was like, APAC might deliver this for us. So

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Speaker 3: this was like it was known that like APAC might

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Speaker 3: actually take Malinowski down far enough that it would allow Mahea,

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Speaker 3: with her ground game and her strong base of support,

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Speaker 3: to sneak through. And she did. Now the best part, Mac,

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Speaker 3: do you have the ad So when APAX spends in

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Speaker 3: these races, obviously they're not saying don't vote for Tom

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Speaker 3: Malanowski because he's too mean to Israel. He didn't support

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Speaker 3: our genocide, like he wants to restrict weapons that are

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Speaker 3: going to They don't. They don't say that. They pull

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Speaker 3: Malinowski and they figure out what are the things that

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Speaker 3: work against him and for him. They obviously did the

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Speaker 3: stock trading scandal that he had, but they led with

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Speaker 3: ice because he's a former member of Congress. He funded

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Speaker 3: Ice with votes back in like twenty nineteen, and so

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Speaker 3: they hammered him. Ironically, Apak is like, they love nobody

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Speaker 3: more than Trump, but they're like, Tom Malinowski stood with

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Speaker 3: Donald Trump to fund the evil Ice. You we can't

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Speaker 3: trust Tom Malinowski. And what's amazing These ads worked in

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Speaker 3: suburban rich New Jersey. Among Democratic primary voters. They were like, oh,

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Speaker 3: he funded Ice, get him out of here. So yeah,

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Speaker 3: let's let's let's queue one up. If you've got it.

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Speaker 5: Mag ICE's deportation force is out of control. Tom Melanowski

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Speaker 5: voted Trump to increase funding and that's not all. He

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Speaker 5: was caught cashing in on COVID related stocks while in Congress.

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Speaker 5: This is about having privileged information and using it to

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Speaker 5: your own personal advantage. You failed to disclose the stocks

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Speaker 5: rating as required by the law.

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Speaker 2: Tom Melanowski bought or sold up to a million dollars

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Speaker 2: worth of stock. We just can't trust Tom Melanowski. UTP

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Speaker 2: is responsible for the content of his amazing, absolutely amazing,

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Speaker 2: even the tagline he can't be trusted, Like, it makes

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Speaker 2: sense to me that you have a time. You're at

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Speaker 2: a point in time where the Democratic base is like

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Speaker 2: we got to figure out which of these Democratic electeds

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Speaker 2: we can trust that are going to like, actually have

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Speaker 2: some backbone and do the things we want them to do.

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Speaker 2: So even the tagline itself, you know, fits the mood

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Speaker 2: of where the Democratic base is and what their concerns are.

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Speaker 2: So thank you Apak.

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Speaker 4: Yeah, and Ice is Ice is a big litmus test

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Speaker 4: right now, so you know it's it's a good one

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Speaker 4: to hammer him on.

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Speaker 3: So if you're not think about it. So, if you're

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Speaker 3: a Democrat and you're just a Norman Democrat who's been

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Speaker 3: winning re election, you've been casting the votes that your

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Speaker 3: party wants you to cast. You've been trying to stay

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Speaker 3: on the right side of your voters. You have now

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Speaker 3: learned that there is a potential huge cost to pay

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Speaker 3: for supporting Ice. You get out there and you defend

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Speaker 3: Ice on TV or to your local news, that clip

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Speaker 3: is going to be used against you. Now you vote

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Speaker 3: to fund Ice, that's going to be used or it

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Speaker 3: could be used against you if you get a primary challenger.

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Speaker 3: Because Apak has done the extremely expensive focused groups and

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Speaker 3: polling for us and now they have road tests in

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Speaker 3: it in this district, and Apak has let us know

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Speaker 3: the best way to take out a sitting member of

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Speaker 3: Congress and Democratic primary is to hit them with the

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Speaker 3: Ice message. I mean it, and.

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Speaker 2: It comes as there are you know, going to be

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Speaker 2: these negotiations in the Senate about what are going to

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Speaker 2: be the additional restrictions put on you know, Ice and CBP,

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Speaker 2: et cetera. So it also comes at an important moment.

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Speaker 2: I mean, it does remind me in a certain way

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Speaker 2: of Zoran's victory because he showed like, no, no, even

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Speaker 2: in New York City, one of the most heavily Jewish

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Speaker 2: cities on the planet, where you know, the in a

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Speaker 2: Democratic primary, you probably will not get a more pro

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Speaker 2: Zionist Democratic primary electorate than New York City, and even

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Speaker 2: there Israel as poisonous, even there you can win as

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Speaker 2: an avowed like pro anti Zionist and be successful. And

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Speaker 2: so this is the type of district which would be

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Speaker 2: the least you would expect to be the least amenable

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Speaker 2: to the anti Ice messaging, right, and here they find

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Speaker 2: that it is the actually was the most powerful message

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Speaker 2: about this guy. And to your point, Ryan, seeing the

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Speaker 2: way the vote shifted from the early vote before the

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Speaker 2: ads drop and then the day of vote and there's

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Speaker 2: this you know, cataclysmic drop off for him. I mean,

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Speaker 2: that tells you, that tells you everything about just how

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Speaker 2: powerful and just how horrified the Democratic base is about Ice.

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Speaker 2: I Mean. The other funny thing here, obviously, is like,

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Speaker 2: how did with all their money and all of their

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Speaker 2: consultants and all of that, how did APAK not realize

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Speaker 2: they were playing with fire here? Like why didn't they

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Speaker 2: just throw you know, maybe like half a mill at

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Speaker 2: some or you know, another measly million dollars into the

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Speaker 2: race to also hit Antalila.

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Speaker 3: Yeah, the APAC candidate had put out an internal poll

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Speaker 3: showing her competitive, but nobody believed it, like no, no,

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Speaker 3: you're not you're not actually competitive, And they didn't spend

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Speaker 3: a lot of money boosting her, or they didn't spend

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Speaker 3: clearly enough. Now it's very it's so expensive, like that's

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Speaker 3: APEC does have some limits on what it can do,

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Speaker 3: believe it or not. And in the New York media market,

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Speaker 3: that's that's pretty tough. Their new cope is, oh, well,

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Speaker 3: maybe we'll beat her in the general election because she's

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Speaker 3: so radical, and it's like, well Harris won. That's so

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Speaker 3: the elections in mid April, Harris won this district by

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Speaker 3: eight points.

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Speaker 2: Forget about it, like it is going to win running

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Speaker 2: it's not going to be close and double digits.

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Speaker 3: Then their cope is, well, then maybe we can beat

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Speaker 3: her in November when she runs for reelection. Because this

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Speaker 3: is a special election, she'll she'll serve out the term.

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Speaker 3: But it's like it's still a Harris plus eight district

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Speaker 3: and people are still going to be mad in November.

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Speaker 3: There's some question mal and Awski, I think, has said

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Speaker 3: he will not run, and it's this it's a weird situation.

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Speaker 3: So the general election is in April, and then the

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Speaker 3: next primary is in June, like mid June for the

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Speaker 3: November election. So if the APAC candidate or Malinowski wants

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Speaker 3: to run, they have to endorse her for the general

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Speaker 3: election in April, you know, campaign with her, say let's

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Speaker 3: beat the Republican, and then immediately on April seventeenth they

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Speaker 3: have to turn around and start a campaign against her

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Speaker 3: for the June primary. So how do you do that?

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Speaker 3: How do you support someone for two months and then

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Speaker 3: run against them immediately for six weeks?

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Speaker 2: Yeah, So, well, the other storyline here is there was

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Speaker 2: another candidate. This was his name, Brendan Gill or something

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Speaker 2: like that, who got fourth place. Who he was the

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Speaker 2: one that was actually backed by the New Jersey Democratic

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Speaker 2: Party machine, which is one of the more powerful machines nationally.

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Speaker 2: And Steve Kornaki, who got a start in New Jersey

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Speaker 2: politics and has encyclopedic knowledge to this day of every

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Speaker 2: aspect of it. He was marveling at that that piece

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Speaker 2: because you know, in previous cycles, if you had the

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Speaker 2: backing of the New Jersey machine, it was just basically

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Speaker 2: like a FATA complete that you were going to be

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Speaker 2: the nominee, like it was a done deal. So yeah,

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Speaker 2: So here's Cornagie a couple of questions. If Maheia is

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Speaker 2: in fact the winner, well one of these candidates or

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Speaker 2: someone else challenger in the June primary for a full

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Speaker 2: time term. Remember tonight's primaries just for the special election

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Speaker 2: of Phil Mikey Cheryl's unexpired term. There's a major push

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Speaker 2: from outside groups, particularly Pro Israel, to take down Malanowski

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Speaker 2: in AO boost Tahisha Way. Would Way be interested in

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Speaker 2: a one on one shot at Mahea for a full term?

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Speaker 2: Would that outside support, outside support follow her? This is

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Speaker 2: a Democratic leaning district. Harris carried it by nine Cheryl

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Speaker 2: by fifteen in the governor's race last year. DEM's have

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Speaker 2: been over performing across the country in special elections of late,

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Speaker 2: but New Jersey eleven does also contain areas more favorable

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Speaker 2: to the pre Trump GOP and Republicans have nominated a

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Speaker 2: potentially appealing candidate Randolph Mayor Joe Hathaway. Could Mahea back

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Speaker 2: by AOC and Bernie Sanders be a tough sell at

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Speaker 2: all in that mashup. So I mean, I I think,

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Speaker 2: based on the special election results that we've seen across

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Speaker 2: the country, I don't think there's too much to worry about,

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Speaker 2: but hey, I guess you never know.

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Speaker 3: Yeah, we'll see. And speaking of the machine, they did

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Speaker 3: the exact same thing wrong in this race that they

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Speaker 3: did in twenty eighteen with Joe Crowley, which is there

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Speaker 3: Their idea is, let's make these elections as undemocratic as possible,

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Speaker 3: get as few people out to the polls as possible,

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Speaker 3: and then we'll be able to go to nursing homes

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Speaker 3: and get our fifteen thousand machine people out and will

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Speaker 3: win like that. And that's a flaw in the Death

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Speaker 3: Star because that means if you can yourself, find seventeen

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Speaker 3: thousand people in a district of seven hundred thousand, then

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Speaker 3: you can win. I don't know, mac if you have

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Speaker 3: the exact vote totals on there, but it's like nothing.

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Speaker 3: And notice that we're talking about this on a Friday.

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Speaker 3: Inn't that weird? Wait a minute, I thought in America

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Speaker 3: elections are on Tuesday. Now New Jersey stops at nothing

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Speaker 3: to try to depress turnout. So they even scheduled this

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Speaker 3: election for a Thursday to confuse people and make sure

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Speaker 3: that almost nobody came out and congratulations, you know, they

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Speaker 3: played themselves.

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Speaker 2: Yeah, yeah, there she that she's gonna win with fewer

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Speaker 2: than twenty thousand votes total. It's crazy, crazy, It is crazy,

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Speaker 2: which does mean that you know, you can you can

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Speaker 2: kind of bootstrap it, like that's a small enough number.

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Speaker 2: I know yours, Yeah, I know. Rocana was in the

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Speaker 2: district earlier this week for an event, like just with

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Speaker 2: the sort of star power of you know, Bernie and

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Speaker 2: AOC and Elizabeth Warren and Roe coming in and sporting her,

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Speaker 2: that was enough and so it didn't really require that

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Speaker 2: much money. I mean, it's extraordinary, you know. The other

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Speaker 2: the last thing to say about It is the reason

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Speaker 2: that well two things. Number one, I'm sure everybody noted

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Speaker 2: that ad we played. It doesn't say paid for by

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Speaker 2: a PAC. It says paid for by what was the

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Speaker 2: United Democracy Projects, Because I mean they know that for

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Speaker 2: you know, a PAC funds these things. But they know

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Speaker 2: their name is toxic, so they come up with these

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Speaker 2: like I love democracy, you know, type of names to

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Speaker 2: so you don't realize who's actually behind these attack ads.

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Speaker 2: That's number one. But number two, this a pack themselves

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Speaker 2: position this as a shot across the bout right. They

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Speaker 2: they know that Malinowski is not the most like anti

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Speaker 2: Israel guy, but they wanted to discipline the Democratic Caucus

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Speaker 2: and show like if you waiver even one, if you

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Speaker 2: have a moment of weakness watching us blow up babies

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Speaker 2: and are like, maybe we shouldn't think about maybe doing something. No, no,

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Speaker 2: you have to be lockstep or we're coming for you.

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Speaker 2: And so the fact that they failed on what they

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Speaker 2: wanted to be a demonstration of their strength and a

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Speaker 2: you know, a grab to discipline the Democratic Caucus and

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Speaker 2: get them back completely in line is also really noteworthy

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Speaker 2: and you know, quite extraordinary and significant.

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Speaker 3: Yeah, just a piece of trivia. They call that. I

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Speaker 3: was like, why on earth do they call And at

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Speaker 3: least this is their actual This is APA's actual super pac.

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Speaker 3: They didn't make up. What they do in a lot

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Speaker 3: of districts is they just make up a fake new

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Speaker 3: one that then doesn't have to disclose the donors until afterwards.

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Speaker 3: So this is their real one. I was like, why

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Speaker 3: is it called United Democracy Project? It makes no sense.

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Speaker 3: It goes back to their line that they're the only

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Speaker 3: democracy in the Middle East. Oh so god, we are uniting,

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Speaker 3: uniting the American democracy with the only democracy in the

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Speaker 3: Middle East. Right, So that's where that uh, that's where

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Speaker 3: that brand comes from.

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Speaker 2: Well, Trump is in a lot of ways trying to

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Speaker 2: make us more like that is really quote unquote democracy.

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Speaker 2: So I guess the name does make some sense there.

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Speaker 3: Yeah.

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Speaker 4: I mean my last thing on this, I mean, where

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Speaker 4: do you guys in the broader democratic you know party,

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Speaker 4: uh sort of space, where do you guys think APAX

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Speaker 4: stands right now? I mean, is it sort of like

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Speaker 4: a death knew almost of APAC. I mean, you know,

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Speaker 4: you guys both mentioned they can't even publicly endorse some

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Speaker 4: candidates right now because it's such a poison pill. Overwhelmingly,

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Speaker 4: the polls are showing that Democratic voters would rather have

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Speaker 4: a candidate that is not backed by the pro Israel

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Speaker 4: lobby than is backed by the Israel lobby. Majority of

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Speaker 4: Democrats think Israel committed a genocide like it has become

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Speaker 4: such an overwhelmingly toxic brand that these candidates can't even

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Speaker 4: associate themselves with the Israel lobby. And even then they

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Speaker 4: have workarounds and they, you know, APAC will tell their

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Speaker 4: individual donors to go donate directly, and they're trying to

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Speaker 4: figure out ways to still get the funding mechanisms in

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Speaker 4: there without attaching their brand directly. But it seems like

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Speaker 4: the issue has basically been one for the issue critic

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Speaker 4: crowd at a ground leveling. Yeah, the money still being there.

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Speaker 4: I'm working on a story with Dave Dayan over The Prospect,

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Speaker 4: which hopefully will be up today on these three house

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Speaker 4: races in Illinois where they're doing exactly what you describe mac.

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Speaker 4: One of the one of the fake super packs they

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Speaker 4: threw up, which we're going to demonstrate as effectively them,

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Speaker 4: is called elect Chicago Women, and I can't even remember

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Speaker 4: the name of Oh.

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Speaker 3: The other one's about affordability. They're like glomming onto mom Donnie.

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Speaker 3: It's like the you know, affordability now pack or something,

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Speaker 3: and it's like a PAC money, but that they're cloaking

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Speaker 3: it and kind of and sneaking it into these races

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Speaker 3: because it would be so toxic to even come in

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Speaker 3: with their official United Democracy Project pack and run other

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Speaker 3: things because then you get more news coverage. Oh and

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Speaker 3: then people just start to understand, oh, this is the

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Speaker 3: APAC candidate, and this is the candidate that APAC doesn't like,

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Speaker 3: and that is toxic and counterproductive for them.

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Speaker 2: Yeah, I mean, I think dempty party is here, right,

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Speaker 2: We're going to you know, we're coming into primary season.

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Speaker 2: There are going to be a bunch of results that

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Speaker 2: come out of nowhere that people are not expecting. And

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Speaker 2: you know, I mean, the circumstances here very unusual because

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Speaker 2: you've got this very divided field and this a PAC

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Speaker 2: money coming in against a different candidate, not the you know,

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Speaker 2: not the Bernie wing candidate of the party, but the

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Speaker 2: effectiveness of that anti Ice add in this district tells

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Speaker 2: you everything you need to know about where the Democratic

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Speaker 2: base and not just you know, one fact, no, the

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Speaker 2: entire Democratic base, how motivated they are by that particular

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Speaker 2: issue right now, and how you know how much trouble

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Speaker 2: and every incumbent Democrat has taken votes to fund Ice.

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Speaker 2: They all have, so presumably they're all vulnerable to a

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Speaker 2: similar message that was so devastatingly effective against Melanowski.

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Speaker 3: You hate to say it.

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Speaker 4: Yeah, all right, we go ahead and move on. Move

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Speaker 4: on here to the latest on the Epstein files.

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Speaker 2: All right, so maxwelled a bunch of newste I mean,

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Speaker 2: this is part of the latest Epstein files release. People

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Speaker 2: continue to come through obviously three million documents, so it's

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Speaker 2: going to take a long time for everybody to look

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Speaker 2: at everything. But we've got some new disturbing documents that

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Speaker 2: have been identified. And then also a bit surprisingly Barry

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Speaker 2: Weise's CBS with an investigation into what exactly happened the

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Speaker 2: night that Jeffrey Epstein ends up dead And Mack, you

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Speaker 2: want you want to set this up? What you got here?

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Speaker 4: Yeah, So I'll go ahead and put up the image

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Speaker 4: itself while while I talk about what this CBS News

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Speaker 4: article is talking about. So this is a portion of

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Speaker 4: the video or a screen grab of the video. The

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Speaker 4: headline here from CBS News is who entered Epstein's jail

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Speaker 4: tier the night of his death. Newly released video logs

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Speaker 4: appear to contradict official recounts accounts. So what are they

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Speaker 4: talking about here, they say? Newly released Department of Justice

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Speaker 4: documents show that investigators reviewing surveillance footage from the night

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Speaker 4: of Jeffrey Epstein's death observed an orange colored shape moving

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Speaker 4: up the staircase toward the isolated locked tier where his

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Speaker 4: cell was located, at approximately ten thirty nine PM on

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Speaker 4: August ninth, twenty nineteen. Now it's ten thirty nine PM.

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Speaker 4: Is also interesting because this was between the ten to

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Speaker 4: midnight period where supposedly these guards had fallen asleep or

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Speaker 4: weren't paying attention, so that's when this sort of orange

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Speaker 4: blob appears.

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Speaker 3: But they continue.

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Speaker 4: They say that entry into an observe observation log of

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Speaker 4: the video from the Metropolitan Correctional Center appears to suggest

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Speaker 4: something previously unreported by authorities, of a flash of orange

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Speaker 4: that looks to be going up again the l tier

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Speaker 4: stairs towards Epstein that could possibly be an inmate escorted

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Speaker 4: up to that tier. It also appears according to an

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Speaker 4: FBI memorandum that reviews by investigators, led to disparate conclusions

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Speaker 4: by the FBI and those examining the same video from

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Speaker 4: the Department of Justice's Office of Inspector General. The FBI

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Speaker 4: described it as possibly an inmate, and if you scroll

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Speaker 4: down here, you had the Inspector General saying it could

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Speaker 4: be an officer carrying orange linen or bedding, noting in

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Speaker 4: their final report as an unidentified corrections officer. Again, this

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Speaker 4: is the image that's in question here, but unidentified possible

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Speaker 4: corrections officer carrying linen's or unidentified inmate potentially going up

435
00:23:11,080 --> 00:23:13,520
Speaker 4: in that direction on the night of Epstein's death.

436
00:23:13,560 --> 00:23:14,680
Speaker 3: What do you guys make of this?

437
00:23:16,040 --> 00:23:18,760
Speaker 2: I mean, continue to be a lot of questions. There's

438
00:23:18,880 --> 00:23:21,919
Speaker 2: another line in this CBS news report which maybe this

439
00:23:22,080 --> 00:23:24,640
Speaker 2: was already known but I didn't know it. It says

440
00:23:24,680 --> 00:23:30,000
Speaker 2: the noose Epstein allegedly used has never been definitively identified.

441
00:23:30,240 --> 00:23:33,000
Speaker 2: According to Inspector General's report, a noose collected at the

442
00:23:33,040 --> 00:23:36,800
Speaker 2: scene was later determined not to be the ligature used

443
00:23:36,800 --> 00:23:41,280
Speaker 2: in Epstein's death. What do you mean that you never identified?

444
00:23:41,320 --> 00:23:43,959
Speaker 2: The news Like, what do you mean by that? Because

445
00:23:44,880 --> 00:23:48,800
Speaker 2: you have one jail cell, Like everything's right there it's

446
00:23:48,840 --> 00:23:51,640
Speaker 2: not too hard to secure that scene and ident this

447
00:23:51,720 --> 00:23:54,480
Speaker 2: is the one you know that was wrapped around his net.

448
00:23:54,880 --> 00:23:58,840
Speaker 2: That blew my mind as well. Have you guys seen

449
00:23:58,880 --> 00:24:00,960
Speaker 2: on the more conspiratorial level, have you guys seen this

450
00:24:01,000 --> 00:24:03,679
Speaker 2: thing about how one of his gamer accounts continues to

451
00:24:03,720 --> 00:24:06,200
Speaker 2: be active in Israel.

452
00:24:07,200 --> 00:24:08,600
Speaker 3: He's playing Fortnite in Israel?

453
00:24:08,680 --> 00:24:12,680
Speaker 2: Or I mean, they just couldn't give up like whatever,

454
00:24:12,840 --> 00:24:16,240
Speaker 2: you know, legacy like skins and tokens and progress he.

455
00:24:16,240 --> 00:24:21,520
Speaker 3: Had night even if you're dead that they've.

456
00:24:21,359 --> 00:24:25,199
Speaker 2: Just how addictive and he had hand and in the

457
00:24:25,359 --> 00:24:27,720
Speaker 2: some of the addictive nature of video games though it

458
00:24:27,760 --> 00:24:30,440
Speaker 2: would be you know, it does make a level of sense.

459
00:24:30,440 --> 00:24:33,240
Speaker 2: But no, I mean, listen, I think the fact that

460
00:24:33,720 --> 00:24:36,800
Speaker 2: they and they tried to say there was no one

461
00:24:37,080 --> 00:24:40,399
Speaker 2: in you know, in this video and accessing that uh

462
00:24:40,640 --> 00:24:42,400
Speaker 2: jails here, when you can clearly see it in the video,

463
00:24:42,480 --> 00:24:44,040
Speaker 2: and then they say, oh, well, maybe it's a corrections

464
00:24:44,080 --> 00:24:46,919
Speaker 2: officer carrying orange linen, and they've.

465
00:24:46,800 --> 00:24:49,800
Speaker 3: Said, no, that's definitely not well in either way.

466
00:24:49,800 --> 00:24:52,800
Speaker 4: They also say in the CBS report, like according to

467
00:24:52,840 --> 00:24:55,159
Speaker 4: the people who work in this jail facility, whether or

468
00:24:55,160 --> 00:24:57,000
Speaker 4: not it was an inmate or whether or not it

469
00:24:57,040 --> 00:24:57,680
Speaker 4: was an officer.

470
00:24:57,800 --> 00:25:00,520
Speaker 3: Either way, that would have been a breach of protocol at.

471
00:25:00,280 --> 00:25:03,920
Speaker 2: The time, right, yeah, Yeah, They said that inmates would

472
00:25:03,960 --> 00:25:06,600
Speaker 2: not be like walking around the person at this hour

473
00:25:06,680 --> 00:25:08,320
Speaker 2: of the night. That would not be a thing that

474
00:25:08,320 --> 00:25:10,639
Speaker 2: would typically happen. And so the other thing that we

475
00:25:10,800 --> 00:25:14,879
Speaker 2: got from this release is we learned that his defense

476
00:25:14,920 --> 00:25:17,640
Speaker 2: team was approaching the government in you know, a couple

477
00:25:17,680 --> 00:25:22,600
Speaker 2: of weeks before he ends up dead about cooperating, which

478
00:25:22,640 --> 00:25:25,720
Speaker 2: would mean, you know, that he was gonna He was saying, hey,

479
00:25:26,080 --> 00:25:28,200
Speaker 2: you know, I have some information that might be interesting

480
00:25:28,280 --> 00:25:31,600
Speaker 2: to you. And so I think that speaks not only

481
00:25:31,720 --> 00:25:34,840
Speaker 2: to potential motivation that you don't want this guy around anymore,

482
00:25:35,600 --> 00:25:40,399
Speaker 2: but it also speaks to his mentality where you know,

483
00:25:40,560 --> 00:25:44,639
Speaker 2: he hadn't given he still had avenues to pursue. You

484
00:25:44,720 --> 00:25:47,399
Speaker 2: know that he certainly if his defense team was exploring this,

485
00:25:47,520 --> 00:25:50,119
Speaker 2: he certainly felt like this was a potential avenue to pursue,

486
00:25:50,400 --> 00:25:52,479
Speaker 2: to be able to secure you know, a lesser sentence,

487
00:25:52,760 --> 00:25:55,000
Speaker 2: be able to get out of there. So I think,

488
00:25:55,119 --> 00:25:57,280
Speaker 2: you know, both of those things fly in the face

489
00:25:57,320 --> 00:26:00,200
Speaker 2: of the idea that he was so truly suicide and

490
00:26:00,240 --> 00:26:02,119
Speaker 2: wanting to kill himself. We also had, you know, we

491
00:26:02,200 --> 00:26:04,720
Speaker 2: also had indications he was afraid to return to his

492
00:26:04,880 --> 00:26:07,920
Speaker 2: jail cell because he had you know, had marks on

493
00:26:07,960 --> 00:26:11,520
Speaker 2: his neck and had been attacked previously. So you know, again,

494
00:26:11,640 --> 00:26:14,760
Speaker 2: if someone is suicidal and wanting to die, that's not

495
00:26:14,880 --> 00:26:17,359
Speaker 2: really consistent with, you know, a mentality of someone who

496
00:26:17,520 --> 00:26:19,200
Speaker 2: is apparently trying to preserve their life.

497
00:26:19,800 --> 00:26:23,159
Speaker 3: My favorite response to this question of who could the

498
00:26:23,240 --> 00:26:26,200
Speaker 3: video show going into Epstein's cell has been, I don't know,

499
00:26:26,440 --> 00:26:32,359
Speaker 3: the murderer could be, but and and to your point,

500
00:26:33,080 --> 00:26:38,440
Speaker 3: have you know Epstein is a person who has confronted

501
00:26:38,560 --> 00:26:44,119
Speaker 3: setbacks throughout his entire life, like you know, just you know,

502
00:26:44,280 --> 00:26:46,440
Speaker 3: rising up first of all through Coney Island and he

503
00:26:46,520 --> 00:26:50,520
Speaker 3: winds up at bear Sterns. They find out he you know,

504
00:26:51,240 --> 00:26:54,720
Speaker 3: was a total fraud. He overcomes that, he gets fired

505
00:26:54,720 --> 00:26:59,720
Speaker 3: from bear Sterns, uh, and he leverages that to this

506
00:27:00,200 --> 00:27:08,440
Speaker 3: like international tax financier position. He got caught, you know,

507
00:27:08,680 --> 00:27:14,560
Speaker 3: with the child prostitution thing in the two thousands, came

508
00:27:14,640 --> 00:27:18,119
Speaker 3: back again bigger than bigger than ever in the twenty tens.

509
00:27:18,560 --> 00:27:21,720
Speaker 3: This is a guy who believes in his ability to

510
00:27:21,840 --> 00:27:26,080
Speaker 3: overcome obstacles, which is one of the biggest reasons I

511
00:27:26,400 --> 00:27:28,760
Speaker 3: have such a hard time getting to a place where

512
00:27:28,760 --> 00:27:30,280
Speaker 3: he's like, you know what, I've overcome all of these

513
00:27:30,320 --> 00:27:32,240
Speaker 3: other things, and I have all of this leverage, and

514
00:27:32,280 --> 00:27:34,480
Speaker 3: I have all of these friends and all this information,

515
00:27:35,080 --> 00:27:38,159
Speaker 3: but I give up. He just does not strike me

516
00:27:38,240 --> 00:27:39,199
Speaker 3: the kind of guy that gives up.

517
00:27:39,560 --> 00:27:41,680
Speaker 2: I totally agree with that. He's not the kind of

518
00:27:41,720 --> 00:27:44,600
Speaker 2: guy that everything sees checkmated right. And you can see

519
00:27:44,640 --> 00:27:46,720
Speaker 2: that even in the email. You know that he preserves

520
00:27:46,760 --> 00:27:49,800
Speaker 2: to himself about Bill Gates. Right. Clearly Bill Gates had

521
00:27:49,800 --> 00:27:52,280
Speaker 2: said him, Wilson, my wife's on my ass. I can't

522
00:27:52,280 --> 00:27:54,200
Speaker 2: hang out with you anymore. We got to cut this off.

523
00:27:54,640 --> 00:27:56,920
Speaker 2: He's not taking note for an answer. He's like, no,

524
00:27:57,400 --> 00:27:59,240
Speaker 2: like you think you're done with me, I don't care,

525
00:27:59,400 --> 00:28:02,240
Speaker 2: Like I'm not with you. And so here's how I'm

526
00:28:02,240 --> 00:28:04,080
Speaker 2: going to keep you in the loop. Here's how I'm

527
00:28:04,119 --> 00:28:05,920
Speaker 2: going to keep you in the web. This is not

528
00:28:06,080 --> 00:28:08,080
Speaker 2: something you can just back away from. That's not how

529
00:28:08,160 --> 00:28:09,040
Speaker 2: this works. Right.

530
00:28:09,160 --> 00:28:11,720
Speaker 3: So saying with Leon black Leon Blacksley, I'm done with you,

531
00:28:12,119 --> 00:28:14,000
Speaker 3: He's like, no, I want my forty million a year, and.

532
00:28:14,160 --> 00:28:16,560
Speaker 2: This is how it's going to go that's exactly right. Yeah,

533
00:28:16,600 --> 00:28:19,480
Speaker 2: that's exactly right. And you know, and also like clearly

534
00:28:19,560 --> 00:28:22,399
Speaker 2: Epstein is a you know, a narcissist, thinks he's the

535
00:28:22,720 --> 00:28:24,840
Speaker 2: main character. I mean, people like this truly don't even

536
00:28:24,880 --> 00:28:26,960
Speaker 2: think the world can like go on if they aren't

537
00:28:27,000 --> 00:28:29,399
Speaker 2: part of it. So it's very I mean, it's just

538
00:28:29,560 --> 00:28:32,199
Speaker 2: psychologically very inconsistent with someone who'd be like, yeah, they

539
00:28:32,280 --> 00:28:34,639
Speaker 2: got me. I guess I'm out of here. But I mean, listen,

540
00:28:34,760 --> 00:28:37,200
Speaker 2: I guess. On the other hand, this is someone who's

541
00:28:37,200 --> 00:28:40,200
Speaker 2: accustomed to flying around the world and living in the

542
00:28:40,280 --> 00:28:42,400
Speaker 2: lab of luxury and having all of his you know,

543
00:28:42,960 --> 00:28:45,600
Speaker 2: horrific carnal desires met at every hour of the day

544
00:28:45,680 --> 00:28:49,680
Speaker 2: and whatever. So perhaps it was just too hard for

545
00:28:49,800 --> 00:28:53,040
Speaker 2: him to bear, even for a short time, to be

546
00:28:53,480 --> 00:28:57,960
Speaker 2: not living the lifestyle that you know, that he enjoyed living.

547
00:28:58,320 --> 00:29:00,520
Speaker 2: So there is that, but you know, they are just

548
00:29:01,280 --> 00:29:05,480
Speaker 2: there are just so many weird inconsistencies and questions that

549
00:29:05,720 --> 00:29:08,440
Speaker 2: remain that it's just, you know, it's it's very hard

550
00:29:08,480 --> 00:29:10,680
Speaker 2: for me to believe that the official story is truly

551
00:29:10,720 --> 00:29:11,120
Speaker 2: what happens.

552
00:29:11,440 --> 00:29:13,920
Speaker 4: And to the point of him feeling untouchable, you know,

553
00:29:14,000 --> 00:29:17,640
Speaker 4: you also rewind to the Acosta Sweetheart deal, like he

554
00:29:17,800 --> 00:29:19,680
Speaker 4: might have figured the same thing. If you buy into

555
00:29:19,720 --> 00:29:22,000
Speaker 4: the idea that Epstein in some way, shape or form

556
00:29:22,080 --> 00:29:24,479
Speaker 4: belonged to intelligence and that's sort of what got him

557
00:29:24,520 --> 00:29:26,720
Speaker 4: out of it the last time around, then you know,

558
00:29:26,880 --> 00:29:29,560
Speaker 4: maybe there's some inclination there in his mind that, Okay,

559
00:29:29,640 --> 00:29:32,320
Speaker 4: that'll probably get me out of this again. Right, They're

560
00:29:32,360 --> 00:29:34,160
Speaker 4: not gonna They're not gonna push me into a situation

561
00:29:34,200 --> 00:29:36,640
Speaker 4: where I feel like I'm forced to reveal all of

562
00:29:36,680 --> 00:29:40,200
Speaker 4: this incriminating information about these high profile, wealthy people around

563
00:29:40,200 --> 00:29:42,200
Speaker 4: the world that I have these connections to. So, you know,

564
00:29:42,280 --> 00:29:44,240
Speaker 4: he may have thought he still he still had a chance.

565
00:29:44,280 --> 00:29:46,640
Speaker 4: And to your point, Crystal, it seems like in the

566
00:29:46,840 --> 00:29:49,760
Speaker 4: days leading up to his death, they were still planning on,

567
00:29:50,080 --> 00:29:51,640
Speaker 4: you know, at least making some sort of a fight.

568
00:29:51,840 --> 00:29:56,280
Speaker 2: So yeah, yeah, exactly, Mack. You want to roll through

569
00:29:56,320 --> 00:29:58,400
Speaker 2: some of these other elements, because these were some other,

570
00:29:58,600 --> 00:30:02,520
Speaker 2: you know, significant discoveries contained within this document release.

571
00:30:02,760 --> 00:30:04,720
Speaker 4: Yeah, so let's go ahead and start off with this

572
00:30:04,840 --> 00:30:08,640
Speaker 4: one posted by Ed Krassenstein. So he says here and

573
00:30:08,720 --> 00:30:12,600
Speaker 4: al peers as though Jeffrey Epstein may have met with

574
00:30:12,880 --> 00:30:18,440
Speaker 4: Donald Trump Junior in twenty nineteen, just months before he died.

575
00:30:18,480 --> 00:30:20,760
Speaker 4: So if you look at this, wow, this email again,

576
00:30:20,920 --> 00:30:24,920
Speaker 4: this is from January twenty seventh, twenty nineteen. The email

577
00:30:25,000 --> 00:30:28,800
Speaker 4: here is from jee vacation Jeffrey Epstein. He says, can

578
00:30:28,920 --> 00:30:32,960
Speaker 4: we do coffee with Don Junior Thursday Friday only if easy?

579
00:30:33,480 --> 00:30:37,000
Speaker 4: As you know, I like people that are funny. So

580
00:30:37,680 --> 00:30:40,080
Speaker 4: what are we supposed to make of this? In terms

581
00:30:40,160 --> 00:30:43,680
Speaker 4: of the timeline from which Donald Trump said that he

582
00:30:43,760 --> 00:30:46,680
Speaker 4: completely cut off his relation with Jeffrey Epstein in the

583
00:30:46,760 --> 00:30:49,440
Speaker 4: early two thousands to now, we've had sort of multiple

584
00:30:49,520 --> 00:30:51,840
Speaker 4: things that have come out in this recent batch of

585
00:30:51,920 --> 00:30:55,320
Speaker 4: files that indicate, Okay, at least within his inner circle

586
00:30:55,400 --> 00:30:58,120
Speaker 4: or maybe even his immediate family, that probably was not

587
00:30:58,240 --> 00:30:58,600
Speaker 4: the case.

588
00:30:59,320 --> 00:31:02,160
Speaker 2: Yeah, there were was an email Soccer and I covered

589
00:31:02,200 --> 00:31:05,560
Speaker 2: where he was Similarly, actually, right before he was inaugurated

590
00:31:05,640 --> 00:31:08,960
Speaker 2: for the first time, Epstein was claiming that he was

591
00:31:09,520 --> 00:31:11,760
Speaker 2: hanging out with what he described as the Trump Boys,

592
00:31:11,800 --> 00:31:14,000
Speaker 2: which you would assume is you know, Eric and Don Junior.

593
00:31:14,520 --> 00:31:18,560
Speaker 2: And even if you buy their denials, and these meetups

594
00:31:18,640 --> 00:31:21,640
Speaker 2: never happened, or Epstein was just blustering and bragging and

595
00:31:21,720 --> 00:31:24,680
Speaker 2: name dropping, and he wasn't really getting together with you know,

596
00:31:24,800 --> 00:31:28,520
Speaker 2: Trump or Trump Junior or whoever. Clearly he had direct

597
00:31:28,520 --> 00:31:32,360
Speaker 2: connectivity to the administration, as we see through the extensive

598
00:31:32,840 --> 00:31:36,480
Speaker 2: Steve Bannon relationship, and Bannon especially first term Trump and

599
00:31:36,560 --> 00:31:37,920
Speaker 2: Ryan you can speak to this more than I can,

600
00:31:38,000 --> 00:31:41,240
Speaker 2: but especially first term Trump. He's in the administration to

601
00:31:41,280 --> 00:31:44,040
Speaker 2: start with, and he's deeply influential. You know, I think

602
00:31:44,040 --> 00:31:48,120
Speaker 2: he continues to be influential in Trump world as both

603
00:31:48,200 --> 00:31:50,840
Speaker 2: you know, an outside force and someone who knows all

604
00:31:50,880 --> 00:31:54,000
Speaker 2: the players on the inside as well. So you see

605
00:31:54,160 --> 00:31:57,480
Speaker 2: Epstein and Bannon going back and forth on you know

606
00:31:57,640 --> 00:32:01,800
Speaker 2: who on Supreme Court picks right on world events, and

607
00:32:02,080 --> 00:32:04,720
Speaker 2: Epstein is offering his take and Bannon's you know, yeah,

608
00:32:04,760 --> 00:32:06,920
Speaker 2: I help get John Bolton in there, but he's controlled

609
00:32:06,920 --> 00:32:09,200
Speaker 2: by Sheldon Adelson. But maybe we can you know, work

610
00:32:09,240 --> 00:32:11,600
Speaker 2: with him in this way or that way. So whether

611
00:32:11,720 --> 00:32:14,440
Speaker 2: or not he was directly talking to Trump or Trump

612
00:32:14,520 --> 00:32:18,600
Speaker 2: Junior or family members, clearly he was having a direct

613
00:32:18,720 --> 00:32:22,040
Speaker 2: impact on the decision making of the Trump administration.

614
00:32:23,280 --> 00:32:27,960
Speaker 3: Yeah. Absolutely. And Bannon is this unusual figure who kind

615
00:32:28,000 --> 00:32:30,440
Speaker 3: of loves to talk to the left, like the fact

616
00:32:30,480 --> 00:32:33,800
Speaker 3: that he was talking to Chomsky. He gabs with the

617
00:32:33,840 --> 00:32:36,920
Speaker 3: reporters in ways that you know a lot of the

618
00:32:37,040 --> 00:32:42,040
Speaker 3: mega types don't do. And I think he saw Epstein

619
00:32:42,080 --> 00:32:46,640
Speaker 3: as this like entree into this Clinton world, you know,

620
00:32:46,760 --> 00:32:49,280
Speaker 3: of you know, endless amounts of intel on the on

621
00:32:49,360 --> 00:32:54,200
Speaker 3: the Clinton world, his enemies. So yeah, that and Bannon

622
00:32:54,280 --> 00:32:57,720
Speaker 3: and Don Junior are very close. So that that's a

623
00:32:57,840 --> 00:33:00,400
Speaker 3: direct line if if Epstein ever wanted it.

624
00:33:00,920 --> 00:33:03,720
Speaker 2: Well, I also have to think that Bannon partly wanted

625
00:33:03,760 --> 00:33:07,160
Speaker 2: to manage the relationship with Epstein because he knew that

626
00:33:07,280 --> 00:33:10,719
Speaker 2: Trump had this long standing relationship with Epstein. I mean,

627
00:33:10,800 --> 00:33:15,480
Speaker 2: reportedly Bannon had said allegedly that Epstein was the one

628
00:33:15,600 --> 00:33:18,320
Speaker 2: guy who could keep Trump from the presidency, who could

629
00:33:18,360 --> 00:33:20,600
Speaker 2: ruin it all for him, And so, you know, I

630
00:33:20,680 --> 00:33:23,280
Speaker 2: think there was also a sense of like, let me

631
00:33:23,400 --> 00:33:26,200
Speaker 2: keep this guy close so I can you know, kind

632
00:33:26,240 --> 00:33:29,160
Speaker 2: of control this situation and maybe find out what there

633
00:33:29,280 --> 00:33:31,360
Speaker 2: is to be found out so that you know, I

634
00:33:31,440 --> 00:33:33,040
Speaker 2: can protect my guy over here.

635
00:33:33,720 --> 00:33:36,560
Speaker 3: Yeah, there was that one email or text message where

636
00:33:36,600 --> 00:33:39,840
Speaker 3: he's like it kills Trump that you know, it would

637
00:33:39,880 --> 00:33:41,600
Speaker 3: kill Trump to know that you and I are so tight.

638
00:33:42,520 --> 00:33:45,920
Speaker 2: There was something like he said at one point Epstein.

639
00:33:46,000 --> 00:33:48,960
Speaker 2: Now you know why Trump lies awake at night knowing

640
00:33:49,080 --> 00:33:52,280
Speaker 2: that I'm that I'm still out there. And actually that

641
00:33:52,440 --> 00:33:56,000
Speaker 2: email was sent, like I don't know, very soon before

642
00:33:56,080 --> 00:33:57,960
Speaker 2: he goes to prison and ends up dead.

643
00:33:58,320 --> 00:34:02,920
Speaker 4: Yeah, interesting stuff. We also had a couple more things

644
00:34:02,960 --> 00:34:05,560
Speaker 4: that I wanted to bring up here. So on the

645
00:34:05,880 --> 00:34:10,160
Speaker 4: censorship angle, right, obviously, there's been widespread criticism on both sides,

646
00:34:10,200 --> 00:34:13,239
Speaker 4: both in terms of a lack of censorship of some

647
00:34:13,360 --> 00:34:16,000
Speaker 4: of the potential victims as well as over censoring on

648
00:34:16,280 --> 00:34:19,800
Speaker 4: people who could be, you know, potentially implicated in Jeffrey

649
00:34:19,800 --> 00:34:24,319
Speaker 4: Epstein's deeds. But we had this as well, pointed out

650
00:34:24,360 --> 00:34:27,160
Speaker 4: here by quad Carl that seems to be sort of

651
00:34:27,280 --> 00:34:31,480
Speaker 4: like a slip up on some sort of automated redacting

652
00:34:32,080 --> 00:34:34,120
Speaker 4: by the Trump administration. So if you see here, in

653
00:34:34,160 --> 00:34:37,600
Speaker 4: this seemingly innocuous sentence, this person says, I was going

654
00:34:37,680 --> 00:34:41,759
Speaker 4: to take polo lessons in Calgary, but I redacted think

655
00:34:41,840 --> 00:34:43,600
Speaker 4: my body can handle it. Now, I think it's pretty

656
00:34:43,640 --> 00:34:47,120
Speaker 4: reasonable to assume that this person says I don't think

657
00:34:47,520 --> 00:34:49,799
Speaker 4: my body can handle it, but probably had some sort

658
00:34:49,840 --> 00:34:53,600
Speaker 4: of a typo that and said, don my dawn think

659
00:34:53,960 --> 00:34:56,839
Speaker 4: my body can handle it, So could be some sort

660
00:34:56,840 --> 00:35:00,279
Speaker 4: of an indication here that there was sweeping censorship and

661
00:35:00,360 --> 00:35:04,080
Speaker 4: redactions on many things having to do with keywords like

662
00:35:04,320 --> 00:35:07,680
Speaker 4: don or Donald or Trump or Donald Trump or whatever

663
00:35:07,760 --> 00:35:09,840
Speaker 4: else the case may be. So, you know, even with

664
00:35:10,239 --> 00:35:13,240
Speaker 4: the shocking stuff that we have gotten from these files,

665
00:35:13,280 --> 00:35:16,400
Speaker 4: it seems like it's still a tiny fraction of what

666
00:35:16,480 --> 00:35:17,480
Speaker 4: actually exists out there.

667
00:35:17,640 --> 00:35:18,920
Speaker 2: What do you make of this, Ryan, Because on the

668
00:35:18,960 --> 00:35:21,120
Speaker 2: other hand, we just saw an email where Don Junior

669
00:35:21,200 --> 00:35:22,200
Speaker 2: was in there unredacted.

670
00:35:22,360 --> 00:35:27,719
Speaker 3: Mm hmm. Seem it's it's sloppy. You know, they you know,

671
00:35:27,760 --> 00:35:32,000
Speaker 3: they were wrecked by Doge, So like this is still

672
00:35:32,040 --> 00:35:36,120
Speaker 3: a human enterprise, Like they have to like actually execute it.

673
00:35:36,600 --> 00:35:39,000
Speaker 2: Well, and they could have assigned down different batches to

674
00:35:39,280 --> 00:35:42,160
Speaker 2: you know, different different working on it. So this one

675
00:35:42,280 --> 00:35:45,279
Speaker 2: sensored Don, this one screwed up and didn't sensor don Or.

676
00:35:45,320 --> 00:35:45,680
Speaker 2: Who knows.

677
00:35:45,760 --> 00:35:47,880
Speaker 3: And there's one I was that was really telling to

678
00:35:47,960 --> 00:35:49,359
Speaker 3: me that I was looking out the other day. That's

679
00:35:49,440 --> 00:35:52,640
Speaker 3: it's an exchange between Epstein and Scaramoucci, And it's very

680
00:35:52,680 --> 00:35:56,279
Speaker 3: clearly Scaramouci because he's saying, I'm doing want to do

681
00:35:56,320 --> 00:35:58,080
Speaker 3: a CNBC hit and then at the end, he sends

682
00:35:58,120 --> 00:36:00,000
Speaker 3: a Twitter link and if you type in that Twitter

683
00:36:00,200 --> 00:36:04,319
Speaker 3: link into Twitter, it's it's the Mooch is CNBC hit.

684
00:36:04,440 --> 00:36:07,799
Speaker 3: So it's the mooch and he's redacted. It's like, Mooch

685
00:36:07,920 --> 00:36:09,520
Speaker 3: is not a survivor of Epstein abuse?

686
00:36:09,840 --> 00:36:12,480
Speaker 2: Like that, we know, why are we protecting this way?

687
00:36:13,200 --> 00:36:16,560
Speaker 3: Why is the mooch getting protection here like your your

688
00:36:16,600 --> 00:36:20,480
Speaker 3: eight days and the administration earn you like the protection

689
00:36:20,640 --> 00:36:24,520
Speaker 3: of the of the censors here. So it's just there

690
00:36:24,640 --> 00:36:27,160
Speaker 3: clearly are a lot of sensors going through this who

691
00:36:27,560 --> 00:36:30,480
Speaker 3: feel like it's their job to protect anybody who's friendly

692
00:36:31,440 --> 00:36:32,640
Speaker 3: to Trump or to their movement.

693
00:36:33,480 --> 00:36:35,400
Speaker 2: Yeah, and isn't isn't he doing a bit of a

694
00:36:35,520 --> 00:36:38,120
Speaker 2: right wing turn at the moment. Separating from my dis

695
00:36:38,160 --> 00:36:42,080
Speaker 2: touch knowers of whatever, anyway, I mean, I just there's

696
00:36:42,280 --> 00:36:45,520
Speaker 2: a disgusting level of all the men who are involved

697
00:36:45,560 --> 00:36:50,960
Speaker 2: here being redacted and protected and then many victims being exposed.

698
00:36:51,560 --> 00:36:54,040
Speaker 2: And you know, I think that that in and of

699
00:36:54,120 --> 00:36:56,640
Speaker 2: itself speaks to their their priorities here.

700
00:36:56,680 --> 00:37:00,319
Speaker 3: And then they're they're using they're then using their own

701
00:37:00,400 --> 00:37:03,880
Speaker 3: screw ups to then justify mass kind of withdrawing of

702
00:37:04,040 --> 00:37:06,879
Speaker 3: documents from the public, Like, there's this one email where

703
00:37:07,600 --> 00:37:09,560
Speaker 3: somebody who a woman who seems to be in pretty

704
00:37:09,560 --> 00:37:12,920
Speaker 3: good terms with Epstein, a grown woman, sends him a

705
00:37:12,960 --> 00:37:17,080
Speaker 3: bunch of like nude picks, and they shouldn't have but

706
00:37:17,200 --> 00:37:19,239
Speaker 3: they did. They posted all of those, like all of

707
00:37:19,320 --> 00:37:23,440
Speaker 3: those picks. Then they go and they're like, oh, we

708
00:37:24,200 --> 00:37:28,400
Speaker 3: we accidentally included a lot of child sex abuse material,

709
00:37:28,400 --> 00:37:29,799
Speaker 3: a lot of sea SAM was put in. So we're

710
00:37:29,840 --> 00:37:33,280
Speaker 3: pulling back all of this stuff. It's like, no, you didn't,

711
00:37:34,320 --> 00:37:37,960
Speaker 3: you didn't, actually do you? You erroneously posted this woman's

712
00:37:38,040 --> 00:37:42,480
Speaker 3: nude photos and you should withdraw those. But she's an adult.

713
00:37:42,840 --> 00:37:47,160
Speaker 3: And so they're using the sea SAM claims because the

714
00:37:47,200 --> 00:37:49,480
Speaker 3: public is like, oh see Sam, don't I don't want

715
00:37:49,480 --> 00:37:51,640
Speaker 3: to be anywhere near it, and yeah, just wildly so.

716
00:37:52,200 --> 00:37:55,239
Speaker 3: But they're lying about what's in there, right claim because

717
00:37:55,320 --> 00:37:56,840
Speaker 3: because nobody's gonna then call them on it.

718
00:37:57,280 --> 00:37:59,720
Speaker 4: And in the in the days after these the initial

719
00:37:59,719 --> 00:38:02,520
Speaker 4: back which was dropped, if you did certain keyword searches

720
00:38:02,600 --> 00:38:05,880
Speaker 4: on specific names, you could see the amount of results

721
00:38:06,080 --> 00:38:08,480
Speaker 4: that came up would drop slowly over time. It would

722
00:38:08,520 --> 00:38:10,440
Speaker 4: go from five thousand to oh now it's forty seven

723
00:38:10,560 --> 00:38:13,320
Speaker 4: hundred now it's forty three hundred or whatever over successive

724
00:38:13,360 --> 00:38:15,080
Speaker 4: days as they were removing some of it.

725
00:38:15,680 --> 00:38:18,280
Speaker 2: Well, you guys got them all over at a jmail.

726
00:38:18,000 --> 00:38:23,880
Speaker 3: Right, Yes, I think we do. I think we have

727
00:38:24,239 --> 00:38:26,879
Speaker 3: I think we have them. Like we're constantly to cat

728
00:38:26,880 --> 00:38:29,759
Speaker 3: and mouse game with their posting and withdrawing, but I

729
00:38:29,800 --> 00:38:30,719
Speaker 3: think we've got them. Yeah.

730
00:38:30,920 --> 00:38:34,239
Speaker 2: Yeah. So another reason why you should check out that

731
00:38:34,600 --> 00:38:37,560
Speaker 2: tool if you're wanting to do some journalism here yourselves,

732
00:38:37,600 --> 00:38:39,440
Speaker 2: and you know, just get a sense for how these

733
00:38:39,520 --> 00:38:42,719
Speaker 2: networks operated and what their day to day exchanges were like,

734
00:38:42,840 --> 00:38:46,839
Speaker 2: because it is an extraordinary and horrifying window. And I mean,

735
00:38:46,920 --> 00:38:51,640
Speaker 2: I don't know about you, Ryan, Like when I thought

736
00:38:51,760 --> 00:38:54,719
Speaker 2: about the way the world worked and like these networks

737
00:38:54,760 --> 00:38:58,840
Speaker 2: of power and you know, how this all operated, I

738
00:38:58,920 --> 00:39:02,040
Speaker 2: thought it was a little more diffuse, Like it's just

739
00:39:02,320 --> 00:39:07,080
Speaker 2: so incredibly direct. Like the most I guess, most cynical

740
00:39:07,560 --> 00:39:11,239
Speaker 2: view I possibly could have had of how the how

741
00:39:11,400 --> 00:39:15,319
Speaker 2: power networks operate like was maybe not even cynical enough

742
00:39:16,000 --> 00:39:18,719
Speaker 2: based on you know, based on these emails and these

743
00:39:18,760 --> 00:39:21,280
Speaker 2: exchanges and the way that you know they're all insider

744
00:39:21,320 --> 00:39:23,839
Speaker 2: trading with each other, they're all protecting each other. They're

745
00:39:23,880 --> 00:39:29,239
Speaker 2: all bonded together through these like heinous acts and yeah,

746
00:39:29,480 --> 00:39:29,840
Speaker 2: I don't know.

747
00:39:30,120 --> 00:39:32,080
Speaker 3: Yeah, my colleague Mas and I were in New York

748
00:39:32,080 --> 00:39:36,880
Speaker 3: Wednesday and Thursday filming a video around Epstein's neighborhood. And

749
00:39:38,040 --> 00:39:43,839
Speaker 3: what really is so striking about being there is how

750
00:39:43,920 --> 00:39:47,200
Speaker 3: tight of a social set this is. Like it's all

751
00:39:47,320 --> 00:39:51,120
Speaker 3: of these super elite rich people, like we understand that

752
00:39:51,200 --> 00:39:54,040
Speaker 3: they travel in the same professional circles. And for people

753
00:39:54,080 --> 00:39:58,320
Speaker 3: who live on the Upper East Side, like they understand

754
00:39:59,360 --> 00:40:00,960
Speaker 3: the social scene there. But for those of us that

755
00:40:01,040 --> 00:40:04,919
Speaker 3: don't like being there is like, oh, like this person

756
00:40:05,000 --> 00:40:06,920
Speaker 3: lives here, this person lives here, this person lives here.

757
00:40:07,120 --> 00:40:11,160
Speaker 3: Woody Allen's here, Jeffrey Epstein's here, Donald Trump's the Plaza

758
00:40:11,200 --> 00:40:15,399
Speaker 3: is here, Trump's building is here, The UN's right here.

759
00:40:15,680 --> 00:40:19,399
Speaker 3: Like it's all happening in a few blocks, and all

760
00:40:19,480 --> 00:40:21,480
Speaker 3: the wealth that like is pouring into the United States

761
00:40:21,600 --> 00:40:24,400
Speaker 3: is like just staying like right in those few blocks.

762
00:40:24,680 --> 00:40:27,839
Speaker 3: And they're all hanging out with each other all the time, yep.

763
00:40:28,280 --> 00:40:31,120
Speaker 3: And so it brings home how go.

764
00:40:31,200 --> 00:40:33,520
Speaker 2: Into the Hamptons this time of year, Palm Beach that

765
00:40:33,640 --> 00:40:36,480
Speaker 2: time they go to these restaurants in the Upper east Side,

766
00:40:36,640 --> 00:40:40,640
Speaker 2: leaving these neighborhoods go to their kids go to these schools. Absolutely.

767
00:40:41,200 --> 00:40:43,120
Speaker 3: Yeah, So it really does bring home your point about

768
00:40:43,120 --> 00:40:47,040
Speaker 3: how tight this really is. And it's because and it's

769
00:40:47,120 --> 00:40:48,960
Speaker 3: very easy to understand what you get there. It's like, oh,

770
00:40:49,160 --> 00:40:51,680
Speaker 3: we all understand these social circles. They just happen to

771
00:40:51,760 --> 00:40:52,600
Speaker 3: be running the world.

772
00:40:53,160 --> 00:40:55,960
Speaker 2: Yeah. I think the other thing that I've been thinking

773
00:40:56,000 --> 00:40:59,960
Speaker 2: a lot about is like they use these are not

774
00:41:00,880 --> 00:41:04,279
Speaker 2: people who have any sort of like patriotic loyalty. Their

775
00:41:04,320 --> 00:41:07,240
Speaker 2: loyalty is only to themselves in their class, like truly.

776
00:41:07,840 --> 00:41:10,440
Speaker 2: And so the episode that spells that out, I mean

777
00:41:10,480 --> 00:41:14,239
Speaker 2: there's a number of them. The email exchange, where is

778
00:41:14,320 --> 00:41:17,640
Speaker 2: it Peter Tiel that Epstein is talking to when he's like,

779
00:41:18,320 --> 00:41:21,600
Speaker 2: you know, zero interest rates were too high and we

780
00:41:21,880 --> 00:41:24,680
Speaker 2: need more chaos because it's easier to like, you know,

781
00:41:25,160 --> 00:41:29,399
Speaker 2: to profit when there's death and destruction and collapse than

782
00:41:29,719 --> 00:41:32,239
Speaker 2: trying to find a good deal during ordinary times. You know,

783
00:41:32,280 --> 00:41:35,080
Speaker 2: I'm butchering the language, but that was what he was saying.

784
00:41:35,480 --> 00:41:37,560
Speaker 2: I mean, that's you know, I mean, it's deeply not

785
00:41:37,719 --> 00:41:42,600
Speaker 2: just not patriotic, and it's like deeply anti human. Yeah,

786
00:41:42,719 --> 00:41:46,560
Speaker 2: anti social, anti creation, anti human and then also the

787
00:41:47,040 --> 00:41:52,200
Speaker 2: revelations about Lord Mandelssohn where he's plotting with Epstein against

788
00:41:52,280 --> 00:41:56,920
Speaker 2: the UK and like let's get Jamie Diamond in here,

789
00:41:57,239 --> 00:41:59,920
Speaker 2: you know, to bully the government so that this bank

790
00:42:00,040 --> 00:42:02,200
Speaker 2: grobonus thing we don't want doesn't go through and he

791
00:42:02,280 --> 00:42:05,040
Speaker 2: can like threaten them, you know with exor y or z.

792
00:42:05,719 --> 00:42:09,480
Speaker 2: So again it's like it's actually treasonous behavior, which part

793
00:42:09,480 --> 00:42:11,879
Speaker 2: of why it's that's a scandal in the UK because

794
00:42:11,920 --> 00:42:16,000
Speaker 2: you're plotting with this financier against the government, against the

795
00:42:16,080 --> 00:42:21,239
Speaker 2: will of the people directly, so and jail that guy

796
00:42:21,320 --> 00:42:23,000
Speaker 2: might actually go to jail. I mean, he's it's a

797
00:42:23,040 --> 00:42:25,040
Speaker 2: pretty clear cut, like the insider trading part of that

798
00:42:25,239 --> 00:42:27,279
Speaker 2: is like pretty clear cut. You know, he's instantly and

799
00:42:27,360 --> 00:42:28,960
Speaker 2: this is crazy, Like you're in the midst of the

800
00:42:29,760 --> 00:42:32,600
Speaker 2: crash in two thousand and eight and what you're thinking

801
00:42:32,680 --> 00:42:35,440
Speaker 2: of doing is like I just got this information, let

802
00:42:35,520 --> 00:42:38,959
Speaker 2: me forward it to Jeffrey Epstein, Like that's your first move.

803
00:42:39,600 --> 00:42:43,440
Speaker 2: That's insane. That's insane. But it just shows you like

804
00:42:43,520 --> 00:42:46,040
Speaker 2: Epstein didn't need to be some sort of like absolute

805
00:42:46,080 --> 00:42:50,000
Speaker 2: financial wizard because the network was everything right and he

806
00:42:50,200 --> 00:42:53,000
Speaker 2: had certainly, and I mean he was a knowledgeable person about,

807
00:42:53,120 --> 00:42:55,560
Speaker 2: you know, financial innerwork. He was very early to bitcoin.

808
00:42:55,640 --> 00:42:58,000
Speaker 2: There's a lot of questions about that too, of just

809
00:42:58,120 --> 00:43:00,960
Speaker 2: how involved he was in the early days a bitcoin

810
00:43:01,000 --> 00:43:03,239
Speaker 2: and how beneficial that was to him. And I'm sure

811
00:43:03,280 --> 00:43:06,800
Speaker 2: he instantly understood this is a useful network for my

812
00:43:06,960 --> 00:43:10,480
Speaker 2: criminal behavior, as many people did do and did with

813
00:43:10,640 --> 00:43:13,680
Speaker 2: crypto et cetera. But in any case, he didn't have

814
00:43:13,800 --> 00:43:15,640
Speaker 2: to be a financial wizard. If you have that kind

815
00:43:15,680 --> 00:43:19,239
Speaker 2: of insider information, it's easy. You get the tip, Oh,

816
00:43:19,360 --> 00:43:22,360
Speaker 2: we're going to do a five hundred euro bailout. You

817
00:43:22,440 --> 00:43:24,799
Speaker 2: know that's coming. Okay, well, let's let's do this. There

818
00:43:24,840 --> 00:43:26,440
Speaker 2: was one actually, do we have this one about the

819
00:43:26,800 --> 00:43:29,080
Speaker 2: shorting the ruble mac Yeah, yeah, we do put that

820
00:43:29,120 --> 00:43:32,440
Speaker 2: one up because that's very relevant to this. He was

821
00:43:32,480 --> 00:43:35,520
Speaker 2: short shorting the ruble just before they what invated CRIMEA

822
00:43:35,760 --> 00:43:37,600
Speaker 2: isn't that the timing of it five days before?

823
00:43:38,280 --> 00:43:40,000
Speaker 3: Yeah, let's check the dates, and this person might have

824
00:43:40,040 --> 00:43:41,799
Speaker 3: had the time off a little bit, but yeah, he.

825
00:43:43,320 --> 00:43:45,560
Speaker 4: So the date the day from this email from epscene

826
00:43:45,640 --> 00:43:49,120
Speaker 4: is on March thirteenth, twenty fourteen, So I think that

827
00:43:49,360 --> 00:43:50,840
Speaker 4: is about seven or.

828
00:43:50,800 --> 00:43:53,360
Speaker 3: So days before the official annexation.

829
00:43:54,200 --> 00:43:58,360
Speaker 2: So why that move right suddenly? You know?

830
00:43:58,600 --> 00:44:00,399
Speaker 4: No, there was another one here that puts it more

831
00:44:00,440 --> 00:44:03,279
Speaker 4: into kind of explicit picture for the framework of what

832
00:44:03,360 --> 00:44:05,560
Speaker 4: you're describing here a crystal. So this is an email

833
00:44:05,640 --> 00:44:10,319
Speaker 4: between Epstein and a Rothschild here, and she says, Hi, Jeff,

834
00:44:10,480 --> 00:44:13,120
Speaker 4: very long day sitting on the bank board. Numbers are okay,

835
00:44:13,200 --> 00:44:15,319
Speaker 4: but not satisfactory to me, and I'm putting them. I'm

836
00:44:15,320 --> 00:44:18,040
Speaker 4: being put under pressure to be more innovative about asset

837
00:44:18,120 --> 00:44:20,960
Speaker 4: management funds while restructuring. I'm in a dinner with a client,

838
00:44:21,120 --> 00:44:23,640
Speaker 4: fed up. I miss our talks and hope that you're well,

839
00:44:23,920 --> 00:44:26,320
Speaker 4: will be home tomorrow night, will you be free? And

840
00:44:26,440 --> 00:44:29,879
Speaker 4: let's discuss Ukraine. And this was after Epstein had said

841
00:44:30,239 --> 00:44:36,000
Speaker 4: Ukraine upheaval should provide many opportunities many yeah, you know,

842
00:44:36,160 --> 00:44:39,120
Speaker 4: similar And also one more example of that here is

843
00:44:39,360 --> 00:44:41,080
Speaker 4: real quick is it reminds me of this drop site

844
00:44:41,120 --> 00:44:44,080
Speaker 4: reporting here from y'all Ryan where And this is in

845
00:44:44,160 --> 00:44:46,960
Speaker 4: the piece on Kotovar and him working with edhud Barack

846
00:44:47,040 --> 00:44:49,719
Speaker 4: to set up some sort of a security agreement. So

847
00:44:50,040 --> 00:44:54,480
Speaker 4: this was an email between Epstein and Edhud Barock, the

848
00:44:54,520 --> 00:44:57,160
Speaker 4: former Prime Minister and Defense Minister of Israel. He said,

849
00:44:57,360 --> 00:45:01,359
Speaker 4: with civil unrest exploding and the desp of those in power,

850
00:45:01,600 --> 00:45:04,839
Speaker 4: isn't this perfect for you? And then Barack replied, you're

851
00:45:04,920 --> 00:45:06,960
Speaker 4: right in a way, but it's not simple to transform

852
00:45:07,040 --> 00:45:09,400
Speaker 4: it into a cash flow. So like, this is the

853
00:45:09,480 --> 00:45:13,120
Speaker 4: sort of mentality that they had with with chaos and

854
00:45:13,239 --> 00:45:16,080
Speaker 4: disruption and destabilization around the world, is how can we

855
00:45:16,600 --> 00:45:18,719
Speaker 4: use this for our own power games? How can we

856
00:45:18,840 --> 00:45:21,399
Speaker 4: use this to transform it into a cash flow?

857
00:45:21,920 --> 00:45:24,960
Speaker 2: Yeah, which, again, like you know, this is disaster capitalism,

858
00:45:25,040 --> 00:45:27,840
Speaker 2: this is you know, these are concepts that obviously we

859
00:45:28,239 --> 00:45:30,800
Speaker 2: are very familiar with, but to just see it so

860
00:45:31,400 --> 00:45:37,640
Speaker 2: overt and so naked, like oh war, yay, goodie, amazing

861
00:45:37,719 --> 00:45:40,800
Speaker 2: opportunities for us to get even richer and more powerful.

862
00:45:41,400 --> 00:45:44,280
Speaker 3: Yeah, And they use of cash flow as an interesting,

863
00:45:44,480 --> 00:45:48,360
Speaker 3: like little bit of daylight between at Barack and Epstein,

864
00:45:48,360 --> 00:45:51,120
Speaker 3: because Epstein's like, hey, chaos, like, let's go in and

865
00:45:51,239 --> 00:45:54,400
Speaker 3: make you know, seventy five million dollars like tomorrow, and

866
00:45:54,719 --> 00:45:57,799
Speaker 3: Barack is thinking, okay, but I also I just want

867
00:45:57,880 --> 00:46:01,360
Speaker 3: I just want millions flowing in constantly and all of

868
00:46:01,400 --> 00:46:04,600
Speaker 3: this chaos like makes the flow part of it tricky.

869
00:46:05,200 --> 00:46:06,640
Speaker 3: He just wants to sit back and just let it

870
00:46:06,719 --> 00:46:11,120
Speaker 3: flow in, whereas Epstein's more of a parapatetic, like, let's

871
00:46:11,160 --> 00:46:13,120
Speaker 3: just bounce around the world and like stash what we can.

872
00:46:15,239 --> 00:46:17,799
Speaker 3: But you know, you can do both if you work

873
00:46:17,840 --> 00:46:18,480
Speaker 3: hard enough at it.

874
00:46:19,000 --> 00:46:21,480
Speaker 2: Yeah, apparently. Yeah. I mean there's an extraordinary email about

875
00:46:21,520 --> 00:46:25,319
Speaker 2: Libya as well, where they're like, here's you know, here's

876
00:46:25,360 --> 00:46:27,799
Speaker 2: how much natural resources they have. I think we could

877
00:46:27,800 --> 00:46:30,520
Speaker 2: skim this much off of it. And this is before we,

878
00:46:30,840 --> 00:46:34,239
Speaker 2: you know, came in and took out Goodafi. So you know,

879
00:46:34,360 --> 00:46:38,400
Speaker 2: that's that's the way that they think. And so you know,

880
00:46:38,480 --> 00:46:41,480
Speaker 2: going back to the point about how about nationalism, Like

881
00:46:41,920 --> 00:46:46,640
Speaker 2: they see nation states and they see nationalistic sentiment as

882
00:46:46,800 --> 00:46:50,360
Speaker 2: like a tool to be exploited as well, like a

883
00:46:50,600 --> 00:46:54,480
Speaker 2: you know, a rubish understanding of the world while they're

884
00:46:54,640 --> 00:46:58,160
Speaker 2: operating at the level that action really happens, which is

885
00:46:58,360 --> 00:47:03,239
Speaker 2: using the entire globe as their plaything and you know,

886
00:47:03,760 --> 00:47:07,319
Speaker 2: moving the pieces around such that it benefits them even

887
00:47:07,400 --> 00:47:09,279
Speaker 2: as it and miserates the world. And the other thing

888
00:47:09,360 --> 00:47:11,840
Speaker 2: that I keep coming back to is there's an extraordinary

889
00:47:11,840 --> 00:47:14,560
Speaker 2: exchange where he's talking about. He sort of has contempt

890
00:47:14,560 --> 00:47:16,800
Speaker 2: for Bill Gates because Gates is doing all this charity

891
00:47:16,840 --> 00:47:19,440
Speaker 2: work in Africa and keeps asking Epstein like, Hey, do

892
00:47:19,480 --> 00:47:21,960
Speaker 2: you want to like contribute to whatever extra y ors

893
00:47:21,960 --> 00:47:24,680
Speaker 2: e global health initiative I'm doing in Africa. And Epstein

894
00:47:24,800 --> 00:47:28,279
Speaker 2: is very irritated by this because he says, he's got

895
00:47:28,360 --> 00:47:32,160
Speaker 2: this Catholic notion that all humans are are equally worth,

896
00:47:32,280 --> 00:47:34,759
Speaker 2: you know, are worth equal amounts, like that they're of

897
00:47:34,880 --> 00:47:37,160
Speaker 2: equal value. And he just thinks that this is so

898
00:47:37,400 --> 00:47:42,719
Speaker 2: preposterous and naive because he has this supremacist ideology and

899
00:47:42,960 --> 00:47:46,880
Speaker 2: overtly eugenicist ideology that he talks about openly and is

900
00:47:46,920 --> 00:47:49,440
Speaker 2: trying to put into practice through his like breeding ranch

901
00:47:49,520 --> 00:47:52,560
Speaker 2: in New Mexico, where you know, he wants to see

902
00:47:52,719 --> 00:47:57,239
Speaker 2: the world with his superior his superior offspring. And it's

903
00:47:57,360 --> 00:48:00,880
Speaker 2: very similar to the ideology of Elon Musk for example,

904
00:48:01,000 --> 00:48:03,000
Speaker 2: or there was like a Chinese billionaire who was doing

905
00:48:03,200 --> 00:48:07,360
Speaker 2: the same thing. These It's very natural for these wealthy,

906
00:48:07,520 --> 00:48:12,719
Speaker 2: powerful men to have supremacist and eugenicist ideologies because it

907
00:48:12,960 --> 00:48:16,560
Speaker 2: justifies their place in the hierarchy. It allows them to

908
00:48:17,680 --> 00:48:21,799
Speaker 2: fully embrace disaster capitalism and exploiting war and not giving

909
00:48:21,880 --> 00:48:24,239
Speaker 2: shit about all of the tremendous horror and harm that

910
00:48:24,239 --> 00:48:26,359
Speaker 2: they're causing around the world. Because those people aren't really

911
00:48:26,440 --> 00:48:28,800
Speaker 2: people the way that we are. They don't deserve to

912
00:48:29,280 --> 00:48:30,440
Speaker 2: have the lives that we live.

913
00:48:33,400 --> 00:48:35,440
Speaker 4: All right, Shall we go ahead and move on over

914
00:48:35,480 --> 00:48:36,160
Speaker 4: to ECON now?

915
00:48:36,719 --> 00:48:37,000
Speaker 5: All right?

916
00:48:37,040 --> 00:48:39,879
Speaker 3: So the economy really sucks, mac. We've got a couple

917
00:48:39,880 --> 00:48:43,520
Speaker 3: of stories to go through here, and the data is

918
00:48:43,600 --> 00:48:46,880
Speaker 3: starting to really put some meat on the bones of

919
00:48:46,960 --> 00:48:50,480
Speaker 3: what people have been feeling for a very long time,

920
00:48:50,600 --> 00:48:55,520
Speaker 3: which is that there are no jobs to be had.

921
00:48:55,800 --> 00:48:59,560
Speaker 3: Like it's this weird situation where we're seeing we're starting

922
00:48:59,600 --> 00:49:04,200
Speaker 3: to see a significant number of layoffs. It's but it's

923
00:49:04,320 --> 00:49:07,800
Speaker 3: not as if you're getting a that's the biggest problem

924
00:49:07,920 --> 00:49:10,800
Speaker 3: has been that they're just aren't job opening. So like

925
00:49:10,840 --> 00:49:14,160
Speaker 3: if you wind up unemployed, you're in a it's very

926
00:49:14,280 --> 00:49:16,600
Speaker 3: very hard to find a new job. Though people aren't.

927
00:49:16,640 --> 00:49:18,640
Speaker 3: People are starting to get fired and laid off in

928
00:49:18,719 --> 00:49:22,520
Speaker 3: a pretty rapid at a pretty rapid clip. But what

929
00:49:22,680 --> 00:49:27,640
Speaker 3: has led into this and has been this this absolute

930
00:49:27,719 --> 00:49:33,160
Speaker 3: like just lack of any jobs opening. Politico has an

931
00:49:33,200 --> 00:49:38,600
Speaker 3: interesting lead here which is just let's roll. Well, just

932
00:49:38,640 --> 00:49:41,280
Speaker 3: read what they say here say President Donald Trump's economy

933
00:49:41,360 --> 00:49:44,279
Speaker 3: is boom booming, But if you're looking for a job,

934
00:49:44,600 --> 00:49:48,000
Speaker 3: good luck. The Labor Department reported on Thursday that job

935
00:49:48,080 --> 00:49:52,680
Speaker 3: openings in December unexpectedly dropped to their lowest level since

936
00:49:52,760 --> 00:49:56,440
Speaker 3: mid twenty twenty, during the heart of the COVID nineteen pandemic.

937
00:49:56,440 --> 00:49:59,400
Speaker 3: It's a sign that companies have cooled on hiring despite

938
00:49:59,400 --> 00:50:02,680
Speaker 3: an economic expansion that the White House has framed as

939
00:50:02,719 --> 00:50:04,440
Speaker 3: the dawn of a new golden age. So we have

940
00:50:04,560 --> 00:50:08,520
Speaker 3: this weird situation where we are not at all technically

941
00:50:08,560 --> 00:50:16,920
Speaker 3: in a recession because GDP is growing, but there's all

942
00:50:17,400 --> 00:50:20,279
Speaker 3: of this insane you know, tariff chaos that has been

943
00:50:20,840 --> 00:50:24,640
Speaker 3: sending uncertainty into the market. But people are also then

944
00:50:24,840 --> 00:50:29,000
Speaker 3: wondering how much of this is AI every So I

945
00:50:29,280 --> 00:50:33,040
Speaker 3: talked to a lot of managers and executives at major

946
00:50:33,080 --> 00:50:35,080
Speaker 3: companies around the world, and what they all tell me,

947
00:50:35,960 --> 00:50:37,920
Speaker 3: I'm curious if you guys have had any conversations with

948
00:50:37,920 --> 00:50:41,160
Speaker 3: people that are similar to this. It's like, when somebody

949
00:50:41,239 --> 00:50:45,000
Speaker 3: leaves a job now at a company, the first thing

950
00:50:45,080 --> 00:50:48,200
Speaker 3: they do is it used to be when as the

951
00:50:48,239 --> 00:50:52,040
Speaker 3: economy is rolling, all right, this person left the job,

952
00:50:52,080 --> 00:50:55,120
Speaker 3: we need to hire someone to replace them. Now it

953
00:50:55,280 --> 00:50:59,840
Speaker 3: is we need to look very hard at can we

954
00:51:00,440 --> 00:51:04,040
Speaker 3: do their job using the productivity gains we're getting from

955
00:51:04,080 --> 00:51:09,040
Speaker 3: AI to spread to spread the work to other humans

956
00:51:10,120 --> 00:51:14,200
Speaker 3: who can be more productive because they've got you know,

957
00:51:14,320 --> 00:51:18,279
Speaker 3: these AI capabilities. In other words, if somebody leaves, can

958
00:51:18,360 --> 00:51:20,840
Speaker 3: we just not hire somebody? And the answer that so

959
00:51:20,960 --> 00:51:24,560
Speaker 3: many managers are coming back with is is yes, we

960
00:51:24,920 --> 00:51:28,000
Speaker 3: do not need to hire for this role. And there

961
00:51:28,000 --> 00:51:30,600
Speaker 3: are a lot of these, you know, Fortune Fortune five

962
00:51:30,680 --> 00:51:35,320
Speaker 3: hundred companies are are forecasting that this process of attrition

963
00:51:36,239 --> 00:51:40,520
Speaker 3: is going to lead to massive reductions in their workforces

964
00:51:40,560 --> 00:51:44,120
Speaker 3: over the years. So some of it is this uncertainty

965
00:51:45,400 --> 00:51:50,000
Speaker 3: sparked by Trump's kind of incessant need to like own

966
00:51:50,080 --> 00:51:52,480
Speaker 3: goal like the economy, but some of it is also

967
00:51:52,840 --> 00:51:56,680
Speaker 3: these companies saying, do we actually need people to fill

968
00:51:56,760 --> 00:51:58,399
Speaker 3: this role? Maybe we don't.

969
00:51:58,920 --> 00:52:04,759
Speaker 2: When what is your estimation of how these tech oligarchs

970
00:52:04,960 --> 00:52:07,800
Speaker 2: think this is all going to work out? Because you know,

971
00:52:07,880 --> 00:52:10,279
Speaker 2: I mentioned this yesterday. Chris has had this viral tweet

972
00:52:10,280 --> 00:52:12,600
Speaker 2: where he's like, I need you people to understand billionaires

973
00:52:12,600 --> 00:52:14,120
Speaker 2: are trying to do to white collar workers what they

974
00:52:14,160 --> 00:52:16,560
Speaker 2: already did to blue collar workers. Like that's where we're heading.

975
00:52:17,800 --> 00:52:20,760
Speaker 2: As you've pointed out in the past. Now the bulk

976
00:52:20,800 --> 00:52:23,640
Speaker 2: of consumer spending is with again the you know, top

977
00:52:23,960 --> 00:52:26,880
Speaker 2: several percentile in the country. So don't really need your

978
00:52:26,880 --> 00:52:30,279
Speaker 2: consumer dollars anymore. They don't need your labor, They don't

979
00:52:30,280 --> 00:52:33,279
Speaker 2: need your consumer dollars, Like they don't need you even

980
00:52:33,440 --> 00:52:36,440
Speaker 2: to send is meat into the grinder for their wars

981
00:52:36,520 --> 00:52:41,600
Speaker 2: increasingly with like AI warfare and the use of special operations.

982
00:52:42,200 --> 00:52:45,839
Speaker 2: So what is there, Like, what do you think they're

983
00:52:45,920 --> 00:52:48,000
Speaker 2: planning how this is going to work out?

984
00:52:48,520 --> 00:52:50,440
Speaker 3: What they what they will tell you is a version

985
00:52:50,480 --> 00:52:53,719
Speaker 3: of Sam Altman's and Elon Musk's explanation for why they're

986
00:52:53,760 --> 00:52:58,279
Speaker 3: doing AI. They will say, I agree with you and

987
00:52:58,440 --> 00:53:01,360
Speaker 3: I and I actually fear for what this is producing

988
00:53:01,640 --> 00:53:03,959
Speaker 3: in the country and in the world, and I fear

989
00:53:04,719 --> 00:53:07,719
Speaker 3: what it's going to leave to the world that my

990
00:53:07,880 --> 00:53:10,960
Speaker 3: children are going to inherit. But my job as a

991
00:53:11,000 --> 00:53:15,759
Speaker 3: corporate executive is to do what the company needs to

992
00:53:15,800 --> 00:53:17,360
Speaker 3: do to get ahead. And if I don't do it,

993
00:53:18,760 --> 00:53:21,279
Speaker 3: my competitor is going to do it. And we're going

994
00:53:21,360 --> 00:53:23,520
Speaker 3: to and we'll and then we will fail and we

995
00:53:23,560 --> 00:53:24,200
Speaker 3: will lose to them.

996
00:53:24,239 --> 00:53:24,400
Speaker 2: Like that.

997
00:53:24,880 --> 00:53:26,840
Speaker 3: That is that is what all of them say. And

998
00:53:26,920 --> 00:53:31,800
Speaker 3: it is a genuine collective action problem in a decentralized

999
00:53:32,719 --> 00:53:38,359
Speaker 3: capitalistic economy like this, where you don't have a kind

1000
00:53:38,400 --> 00:53:42,160
Speaker 3: of state that's able to say no, Like, these are

1001
00:53:42,200 --> 00:53:45,560
Speaker 3: the forces that we're seeing, but from a social perspective,

1002
00:53:45,640 --> 00:53:49,320
Speaker 3: this is how we want to direct those forces. And we,

1003
00:53:49,840 --> 00:53:53,720
Speaker 3: as a you know, self governing democratic you know, polity,

1004
00:53:54,080 --> 00:53:56,080
Speaker 3: are going to do that that we don't have that.

1005
00:53:56,360 --> 00:54:00,520
Speaker 3: What we have as are our companies who have quarterly

1006
00:54:00,560 --> 00:54:05,640
Speaker 3: earnings reports coming up and they need and now are

1007
00:54:06,560 --> 00:54:09,360
Speaker 3: starting to be measured by you know, the levels of

1008
00:54:09,400 --> 00:54:12,479
Speaker 3: attrition that they can they can pull off, the number

1009
00:54:12,520 --> 00:54:15,200
Speaker 3: of the number the amount of people that they can

1010
00:54:15,280 --> 00:54:16,040
Speaker 3: replace with AI.

1011
00:54:16,760 --> 00:54:20,240
Speaker 2: Yeah. Well, and I mean my answer societally because obviously

1012
00:54:20,400 --> 00:54:23,319
Speaker 2: this you know, off to the race's AI pushes coming

1013
00:54:23,400 --> 00:54:26,759
Speaker 2: from the Trump administration. You know, this is really their

1014
00:54:26,960 --> 00:54:30,719
Speaker 2: big bet on the economy. You know, it's not like

1015
00:54:30,880 --> 00:54:34,080
Speaker 2: Trump thinks tariffs are fun, but the real big bet

1016
00:54:34,280 --> 00:54:36,680
Speaker 2: is on we're going to take off all the guardrails

1017
00:54:37,239 --> 00:54:40,560
Speaker 2: and we're going to flood, the like AI tech oligarchs,

1018
00:54:40,840 --> 00:54:45,320
Speaker 2: go go go, no holds barred, And I think you

1019
00:54:45,480 --> 00:54:48,600
Speaker 2: see in their budget priorities the way they're thinking about

1020
00:54:48,600 --> 00:54:50,960
Speaker 2: how this is going to go. That's why they're funding

1021
00:54:51,040 --> 00:54:54,960
Speaker 2: the largest law enforcement agency in history in Ice, you know,

1022
00:54:55,280 --> 00:54:59,799
Speaker 2: better funded the immigration enforcement operations, better funded than any

1023
00:55:00,000 --> 00:55:02,560
Speaker 2: military on the planet except for two ours in China.

1024
00:55:03,480 --> 00:55:08,520
Speaker 2: So they need this massive domestic police state, equipped with

1025
00:55:08,640 --> 00:55:11,399
Speaker 2: the surveillance state and all of that stuff. And then

1026
00:55:12,440 --> 00:55:15,200
Speaker 2: you also have him asking for one point five trillion

1027
00:55:15,280 --> 00:55:20,040
Speaker 2: dollar defense budget. So that's their view. And they only,

1028
00:55:20,520 --> 00:55:25,080
Speaker 2: like they foolishly only believe in hard power, right, That's

1029
00:55:25,320 --> 00:55:27,120
Speaker 2: what you see in the way that they operate in

1030
00:55:27,200 --> 00:55:30,719
Speaker 2: the world. They are delusional enough to think it's enough

1031
00:55:30,960 --> 00:55:34,000
Speaker 2: just to you know, to hold people in place using

1032
00:55:34,960 --> 00:55:37,800
Speaker 2: guns and hard power. And so I think that's I

1033
00:55:37,880 --> 00:55:40,759
Speaker 2: think that's their plan. I mean, just judging by their

1034
00:55:40,800 --> 00:55:45,200
Speaker 2: budget priorities and where they're shifting resources and focus and money.

1035
00:55:46,200 --> 00:55:46,279
Speaker 5: Ye.

1036
00:55:46,400 --> 00:55:49,000
Speaker 4: Yeah, I mean, Ryan to your point earlier, like, there

1037
00:55:49,120 --> 00:55:50,920
Speaker 4: is a way that we could be going about this

1038
00:55:51,560 --> 00:55:54,600
Speaker 4: that actually does serve the needs and then could improve

1039
00:55:54,680 --> 00:55:58,040
Speaker 4: the lives of average Americans. But it's it's impossible to

1040
00:55:58,080 --> 00:56:01,640
Speaker 4: do that under a capital structure like we have in

1041
00:56:01,719 --> 00:56:06,040
Speaker 4: this country. It seems like AI technology is almost the

1042
00:56:06,320 --> 00:56:10,160
Speaker 4: most in term, the most extreme example of a race

1043
00:56:10,239 --> 00:56:15,239
Speaker 4: towards monopoly under capitalism, because it's so rapidly advancing and

1044
00:56:15,400 --> 00:56:18,279
Speaker 4: consolidating and eventually we're going to have one company that

1045
00:56:18,640 --> 00:56:22,759
Speaker 4: ends up getting that major, big breakthrough moving forward. And

1046
00:56:22,840 --> 00:56:25,480
Speaker 4: so you know, under the structure that we have right now,

1047
00:56:25,560 --> 00:56:27,960
Speaker 4: the no holds bar trump, let's let it all rip.

1048
00:56:28,640 --> 00:56:30,640
Speaker 4: Where is this going to end up other than just

1049
00:56:30,800 --> 00:56:35,520
Speaker 4: with monopolistic sort of like a techno feudal society where

1050
00:56:35,840 --> 00:56:38,680
Speaker 4: we have a handful of people who control the entirety

1051
00:56:38,800 --> 00:56:41,319
Speaker 4: of the most powerful technology that's ever been wielded by

1052
00:56:41,400 --> 00:56:44,319
Speaker 4: human human beings, and then everybody else is just sort

1053
00:56:44,320 --> 00:56:47,520
Speaker 4: of left to rot. I mean what, it doesn't even

1054
00:56:47,560 --> 00:56:52,040
Speaker 4: seem like they hypothetically have a sustainable plan for the

1055
00:56:52,120 --> 00:56:55,040
Speaker 4: next ten to fifteen to twenty future, twenty years down

1056
00:56:55,080 --> 00:56:56,400
Speaker 4: the line in the future.

1057
00:56:56,960 --> 00:57:01,239
Speaker 3: Now corporate executives are talking to them is some it's

1058
00:57:01,239 --> 00:57:04,640
Speaker 3: some of the source of the greatest doomerism. Like they're

1059
00:57:04,680 --> 00:57:08,160
Speaker 3: there and you can judge them, you know, for being

1060
00:57:08,200 --> 00:57:12,200
Speaker 3: the ones like foot soldiering and carrying it out. But

1061
00:57:12,440 --> 00:57:15,840
Speaker 3: they're they're as there as like they're even more frightened

1062
00:57:16,800 --> 00:57:20,080
Speaker 3: that shocking shockingly than like the average public, because they're

1063
00:57:20,120 --> 00:57:22,000
Speaker 3: seeing it like happening now.

1064
00:57:22,520 --> 00:57:25,919
Speaker 2: Which is why they're like building bunkers and planning escape.

1065
00:57:26,360 --> 00:57:30,200
Speaker 3: These are the types of people who make like, let's say,

1066
00:57:30,240 --> 00:57:34,120
Speaker 3: eight hundred thousand dollars a year rather than eighty million

1067
00:57:34,160 --> 00:57:37,320
Speaker 3: dollars a year. They're they're very rich and doing well

1068
00:57:37,320 --> 00:57:40,280
Speaker 3: and they'll be fine and they can probably make sure

1069
00:57:40,280 --> 00:57:45,240
Speaker 3: their kids are fine ish, but they also care about

1070
00:57:45,280 --> 00:57:47,320
Speaker 3: the world, and there's but there's you know, they're stuck

1071
00:57:47,360 --> 00:57:50,000
Speaker 3: in there. They're in these jobs and they're like what

1072
00:57:50,440 --> 00:57:55,040
Speaker 3: we're seeing like unfold around us. You know, we're gonna

1073
00:57:55,080 --> 00:57:56,680
Speaker 3: you know, our head count's going to go by drop

1074
00:57:56,840 --> 00:58:01,640
Speaker 3: by thirty, fifty eighty percent, like over the next year, three, four,

1075
00:58:01,800 --> 00:58:07,040
Speaker 3: five years, and you do that across the board, Like

1076
00:58:07,400 --> 00:58:10,280
Speaker 3: what are these people going to do? Yeah, and like

1077
00:58:10,720 --> 00:58:15,160
Speaker 3: how do you support a show like this when yeah, yeah,

1078
00:58:15,200 --> 00:58:19,360
Speaker 3: tens of thousands more of our like paying subscribers are

1079
00:58:19,440 --> 00:58:22,080
Speaker 3: laid off, Like it's a it is a very dark

1080
00:58:23,640 --> 00:58:26,000
Speaker 3: time that we're like that we're heading into and the

1081
00:58:26,160 --> 00:58:29,040
Speaker 3: oligarchs have nothing beyond UBI at this point. Like, yeah,

1082
00:58:29,280 --> 00:58:32,640
Speaker 3: that was their vision because they saw this comp They're like,

1083
00:58:32,760 --> 00:58:36,120
Speaker 3: if we succeed in what we're trying to do, we're

1084
00:58:36,160 --> 00:58:40,400
Speaker 3: going to desiccate society, and so we need then universal

1085
00:58:40,440 --> 00:58:43,640
Speaker 3: banked basic income. Like that was their answer. I haven't

1086
00:58:43,640 --> 00:58:45,640
Speaker 3: seen them come up with anything.

1087
00:58:46,400 --> 00:58:49,080
Speaker 2: And then you also have this sort of concentration camps.

1088
00:58:49,280 --> 00:58:51,800
Speaker 2: I mean, we're I mean, I hate to be really dark,

1089
00:58:51,920 --> 00:58:55,480
Speaker 2: but we're ice is building out. You know, they're buying

1090
00:58:55,560 --> 00:59:00,840
Speaker 2: fields and installing warehouses and you know, and and it's

1091
00:59:00,960 --> 00:59:05,520
Speaker 2: this massive police state that is being funded. We already

1092
00:59:05,600 --> 00:59:07,240
Speaker 2: know that it's not just for immigrants. I mean, we

1093
00:59:07,280 --> 00:59:09,160
Speaker 2: already see that people are clashing with in the streets

1094
00:59:09,200 --> 00:59:12,880
Speaker 2: are mostly white liberals. So I don't think it's too

1095
00:59:13,080 --> 00:59:15,840
Speaker 2: crazy to think that that is part of the plan,

1096
00:59:16,360 --> 00:59:19,479
Speaker 2: at least enough to like scare people into to line

1097
00:59:19,560 --> 00:59:24,040
Speaker 2: into control movement and control opposition, et cetera. So I mean,

1098
00:59:24,120 --> 00:59:26,720
Speaker 2: I think that's from the political class. I think that's

1099
00:59:26,800 --> 00:59:29,000
Speaker 2: the way they're that's the way they're thinking about it

1100
00:59:29,040 --> 00:59:31,600
Speaker 2: because they don't need you anymore. Right, the only reason

1101
00:59:31,640 --> 00:59:33,760
Speaker 2: they need you is for your labor, and if they

1102
00:59:33,800 --> 00:59:35,680
Speaker 2: don't need your labor, they don't need you anymore.

1103
00:59:36,520 --> 00:59:39,360
Speaker 4: Yeah, And I also wonder like with this sort of

1104
00:59:39,720 --> 00:59:43,200
Speaker 4: like transhumanism mindset, or even in some cases seemingly like

1105
00:59:43,440 --> 00:59:47,920
Speaker 4: anti human perspectives, like how pervasive is that amongst the

1106
00:59:48,520 --> 00:59:51,480
Speaker 4: upper levels of some of these these tech companies where

1107
00:59:51,600 --> 00:59:53,640
Speaker 4: they might just like not, I mean, you remember that

1108
00:59:53,760 --> 00:59:55,760
Speaker 4: that Peter Teele clip I think it was Peter Teel

1109
00:59:55,800 --> 00:59:57,280
Speaker 4: from a while back, where he was asked like, is

1110
00:59:57,360 --> 01:00:01,240
Speaker 4: it important that human civilization continues or that human beings

1111
01:00:01,280 --> 01:00:04,040
Speaker 4: continue into the future, and he like legitimately had to

1112
01:00:04,160 --> 01:00:08,360
Speaker 4: pause and think about whether or not he thought that

1113
01:00:08,480 --> 01:00:10,520
Speaker 4: that was something that needed to happen moving forward. So

1114
01:00:10,880 --> 01:00:14,120
Speaker 4: I think for some of them, there's an acceptance or

1115
01:00:14,960 --> 01:00:17,800
Speaker 4: a willingness to just sort of blindly go down this

1116
01:00:17,960 --> 01:00:23,400
Speaker 4: path that even they know will lead to civilizational destruction

1117
01:00:23,640 --> 01:00:25,720
Speaker 4: or mass suffering or whatever it ends up being.

1118
01:00:26,640 --> 01:00:29,920
Speaker 2: There is a view in Siliconvie. I don't know how pervasive,

1119
01:00:30,440 --> 01:00:33,760
Speaker 2: but there is a view that having an attachment to

1120
01:00:34,000 --> 01:00:38,840
Speaker 2: human beings is speciest and so that true enlightenment, enlightenment

1121
01:00:38,960 --> 01:00:42,040
Speaker 2: comes from not caring that the robots take over and

1122
01:00:42,120 --> 01:00:46,520
Speaker 2: crushes like ants if they're you know, furthering their civilization

1123
01:00:46,840 --> 01:00:49,080
Speaker 2: and able to come up with, you know, these incredible

1124
01:00:49,120 --> 01:00:51,840
Speaker 2: technological solutions, Like we should all be in favor of that,

1125
01:00:52,440 --> 01:00:54,919
Speaker 2: and that for us to be sentimentally attached to human

1126
01:00:55,000 --> 01:00:57,000
Speaker 2: beings is very small minded thinking of us.

1127
01:00:57,880 --> 01:01:00,800
Speaker 3: Yeah, just stbic stuff. Mac, do you want to put

1128
01:01:00,840 --> 01:01:05,600
Speaker 3: up this CNBC one? Sure? Because this is so I

1129
01:01:05,760 --> 01:01:09,080
Speaker 3: was saying, like, the big problem with the economy has

1130
01:01:09,240 --> 01:01:12,200
Speaker 3: not been layoffs up until now. It has more been

1131
01:01:12,720 --> 01:01:15,240
Speaker 3: when people leave they can't find a job, that there's

1132
01:01:15,320 --> 01:01:17,920
Speaker 3: no there's no new job openings. Now we're getting a

1133
01:01:17,960 --> 01:01:21,760
Speaker 3: double whammy. Layoffs in January were the highest to start

1134
01:01:21,800 --> 01:01:24,680
Speaker 3: a year since two thousand and nine, according to Challenger,

1135
01:01:24,760 --> 01:01:29,800
Speaker 3: which which which measures these hundred and eight thousand layoffs

1136
01:01:30,640 --> 01:01:34,680
Speaker 3: for the month which they have up, which they have

1137
01:01:34,800 --> 01:01:37,440
Speaker 3: doubling from more than doubling from the same period a

1138
01:01:37,520 --> 01:01:40,560
Speaker 3: year ago, up up two hundred was it two hundred

1139
01:01:40,560 --> 01:01:45,840
Speaker 3: and five percent from last month? Like that's wow, insane wow,

1140
01:01:46,280 --> 01:01:49,080
Speaker 3: And they say at the same time, companies announced just

1141
01:01:49,320 --> 01:01:54,120
Speaker 3: five thousand, three hundred and six new hires, the lowest

1142
01:01:54,360 --> 01:01:58,000
Speaker 3: UH since January of two thousand and nine. If you

1143
01:01:58,080 --> 01:02:01,120
Speaker 3: weren't around for January of two thousand and nine, that

1144
01:02:01,280 --> 01:02:04,120
Speaker 3: was the darkest time in the American economy since the

1145
01:02:04,200 --> 01:02:10,040
Speaker 3: Great Depression. So like, and this is going on while

1146
01:02:10,040 --> 01:02:12,400
Speaker 3: Trump is talking about a boom, and while GDP is

1147
01:02:12,480 --> 01:02:14,880
Speaker 3: growing like GDP is still maybe it's gonna be down

1148
01:02:14,920 --> 01:02:20,200
Speaker 3: in the next quarter, but still growing ish like, So

1149
01:02:20,360 --> 01:02:23,880
Speaker 3: this is the thing. The wheels are coming off, is

1150
01:02:23,960 --> 01:02:25,680
Speaker 3: basically what these numbers are showing.

1151
01:02:26,520 --> 01:02:29,439
Speaker 2: Before we jump to the premium half. Ryan Rocco question

1152
01:02:29,560 --> 01:02:33,280
Speaker 2: for you, what do you make of the bitcoin drop?

1153
01:02:34,320 --> 01:02:35,440
Speaker 2: What do you think is going on there?

1154
01:02:36,240 --> 01:02:41,000
Speaker 3: I don't know. I don't know, Like it's some I

1155
01:02:41,080 --> 01:02:48,640
Speaker 3: saw somewhere that like an early whale dumped billions. I so,

1156
01:02:48,960 --> 01:02:53,880
Speaker 3: and you know, the now getting all of these the

1157
01:02:54,040 --> 01:02:57,240
Speaker 3: bitco the bitcoin crowd really wanted all these institutions like

1158
01:02:57,360 --> 01:03:01,920
Speaker 3: banks and others to like get in on the on

1159
01:03:02,080 --> 01:03:04,560
Speaker 3: the rush. So you know, yeah, the more buyers, the

1160
01:03:04,680 --> 01:03:07,240
Speaker 3: more you push the price up getting them in. Though

1161
01:03:07,840 --> 01:03:11,280
Speaker 3: you know, if they're on margin and it hits a

1162
01:03:11,320 --> 01:03:15,560
Speaker 3: certain level, you know as it crash is this could

1163
01:03:15,600 --> 01:03:18,720
Speaker 3: the crash becomes self fulfilling because you know, if you

1164
01:03:18,840 --> 01:03:21,200
Speaker 3: have to sell at seventy thousand, and that now it

1165
01:03:21,320 --> 01:03:23,200
Speaker 3: crashed and it hits seventy thousand. Now you've got to

1166
01:03:23,200 --> 01:03:26,560
Speaker 3: sell your entire position, and you selling your position moves

1167
01:03:26,600 --> 01:03:29,400
Speaker 3: it to sixty nine thousand, and now other people who

1168
01:03:29,480 --> 01:03:31,560
Speaker 3: had to sell at sixty nine to cover their margins

1169
01:03:31,960 --> 01:03:35,080
Speaker 3: have to sell and that so so some of it

1170
01:03:35,280 --> 01:03:38,760
Speaker 3: is like the more people you get in who are

1171
01:03:38,960 --> 01:03:42,760
Speaker 3: leveraged like that, the more volatility you're going to get.

1172
01:03:42,760 --> 01:03:46,000
Speaker 3: It was already an insanely volatile thing. I'm sure a

1173
01:03:46,040 --> 01:03:47,440
Speaker 3: bunch of people are out there buying the dip.

1174
01:03:48,680 --> 01:03:51,880
Speaker 2: Well it says right now Bitcoin narrowly avoids falling under

1175
01:03:51,960 --> 01:03:54,320
Speaker 2: sixty thousand as it bounces off of lows. So it

1176
01:03:54,360 --> 01:03:56,080
Speaker 2: looks like there's a bit of a recovery going on

1177
01:03:56,280 --> 01:03:59,200
Speaker 2: right now. But you know, the hope was that as

1178
01:03:59,400 --> 01:04:03,360
Speaker 2: the weekends and you know, people move away from it

1179
01:04:03,440 --> 01:04:07,120
Speaker 2: as the safe harbor and world reserve currency that quote

1180
01:04:07,160 --> 01:04:10,040
Speaker 2: unquote digital gold, which is what they you know, what

1181
01:04:10,160 --> 01:04:12,840
Speaker 2: they want bitcoin to be, that that would be the

1182
01:04:12,960 --> 01:04:15,440
Speaker 2: thing that would you know, the new flight to safety

1183
01:04:15,440 --> 01:04:17,920
Speaker 2: would be bitcoin. But what we've seen instead is that

1184
01:04:18,040 --> 01:04:20,959
Speaker 2: it's you know, it's more precious metals, it's like, actually.

1185
01:04:20,800 --> 01:04:24,320
Speaker 3: It's ways significantly below what it was when Trump was

1186
01:04:26,400 --> 01:04:29,680
Speaker 3: came into office, which he's the crypto president. He's the

1187
01:04:29,720 --> 01:04:31,440
Speaker 3: guy if it was ever going to do and shoot

1188
01:04:31,480 --> 01:04:34,160
Speaker 3: to the moon, then his coin's good. Yeah, I mean

1189
01:04:34,160 --> 01:04:35,640
Speaker 3: I don't know what it's done the last couple of days,

1190
01:04:35,680 --> 01:04:37,520
Speaker 3: but like he's up. Yeah, he's up.

1191
01:04:38,320 --> 01:04:41,800
Speaker 2: Basically, UA or Saudi or whoever is going to make

1192
01:04:41,840 --> 01:04:43,920
Speaker 2: sure that that continues to be the case whenever they

1193
01:04:44,000 --> 01:04:45,560
Speaker 2: need some deal done with the government.

1194
01:04:45,840 --> 01:04:47,160
Speaker 4: Yeah, and it's kind of it is kind of funny

1195
01:04:47,200 --> 01:04:50,520
Speaker 4: to call it the digital gold kind of skirts around,

1196
01:04:50,960 --> 01:04:53,720
Speaker 4: like the entire reason why gold has value in the

1197
01:04:53,760 --> 01:04:55,600
Speaker 4: first place, or silver has value in the first place

1198
01:04:55,680 --> 01:04:59,400
Speaker 4: because of its physical limited nature in reality, I.

1199
01:04:59,400 --> 01:05:03,440
Speaker 2: Mean technically limited, you know, because of the way and

1200
01:05:03,560 --> 01:05:06,640
Speaker 2: so you have to mine it. So that's why they said, well,

1201
01:05:06,680 --> 01:05:09,320
Speaker 2: that's the scarcity that's built into this that makes it

1202
01:05:09,360 --> 01:05:11,200
Speaker 2: akin to gold.

1203
01:05:11,520 --> 01:05:13,960
Speaker 3: Well that's not going too well right now.

1204
01:05:14,720 --> 01:05:18,040
Speaker 2: Yeah, all right, should we should we move over to

1205
01:05:18,160 --> 01:05:20,560
Speaker 2: the premium portion. I've got We've got some we I

1206
01:05:20,680 --> 01:05:22,440
Speaker 2: have to we have to play these mum donni clips.

1207
01:05:22,440 --> 01:05:24,440
Speaker 2: They're just too charming of him with these little children.

1208
01:05:24,680 --> 01:05:27,000
Speaker 2: They're absolutely adorable. We have to get to the right

1209
01:05:27,040 --> 01:05:30,280
Speaker 2: wing mess. Take a few AMA questions, So if you

1210
01:05:30,360 --> 01:05:33,000
Speaker 2: want to get the whole thing, guys breakingpoints dot com.

1211
01:05:33,160 --> 01:05:35,840
Speaker 2: If not, we totally get it. Appreciate all of you,

1212
01:05:36,120 --> 01:05:37,439
Speaker 2: and we'll see you on the other side.