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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 this 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 2: you'll access to our full shows, unedited, ad free, and

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Speaker 2: all put together for you every morning in your inbox.

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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 3: Good morning, and welcome to Breakingpoints. Emily, the guy in

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Speaker 3: charge of safety overheat Anthropic says that he is quitting

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Speaker 3: to go write.

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Speaker 4: Poetry and that we are all in peril.

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Speaker 3: So Steph wil I mean, we're not going to cover

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Speaker 3: that though today because we like to keep.

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Speaker 4: It light here.

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Speaker 5: Actually it'll be relevant to the job segment that it

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Speaker 5: will so this this job Big Job support will be

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Speaker 5: out by the time we talk about it. We're right

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Speaker 5: now as we tape this way and got it another

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Speaker 5: ten minutes. But that's actually going to be perfectly relevant

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Speaker 5: to whatever these numbers are.

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Speaker 4: Poetry jobs for very rich people are still doing. Okay,

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Speaker 4: though you.

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Speaker 6: Want to hear a secret, let's hear it.

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Speaker 5: I have a degree in creative writing with a concentration

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Speaker 5: in poetry.

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Speaker 4: That does not surprise me. Believe it or not.

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Speaker 6: It's pretty shameful.

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Speaker 3: Actually, so anyway, we're not going to talk about that.

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Speaker 3: We actually invited the guy on to do an interview.

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Speaker 3: He's like, no, no, no. I said that we're all

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Speaker 3: in peril as humanity, and I'm quitting to go do poetry,

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Speaker 3: not going to give any more details.

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Speaker 4: You're all in peril. Good luck.

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Speaker 5: This is not a show for poets. Ryan, Actually, we

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Speaker 5: welcome all post.

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Speaker 3: We are going to talk about Jeffrey Epstein, piano player, Yes, jordinaire.

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Speaker 3: We're going to talk about his interest in eugenics. That's

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Speaker 3: why it says eugenics underneath there.

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Speaker 7: We should actually we should like just ask um some

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Speaker 7: questions about you know, jobs report, the administration saying we

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Speaker 7: have to revise down our expectations.

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Speaker 3: You know, everybody always hopes that there are more jobs

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Speaker 3: in the jobs report, but work sucks, and so there

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Speaker 3: should be fewer jobs.

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Speaker 5: We've got a good clip. You're gonna want to stay

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Speaker 5: around for this block.

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Speaker 3: We're going to talk about the story and drop site

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Speaker 3: that we did about whether or not negotiations between Cuba

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Speaker 3: and the United States are actually happening as the US

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Speaker 3: is completely shutting down basically all things going into Cuba,

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Speaker 3: all things.

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Speaker 4: This spear is plaming their talks.

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Speaker 6: You broke some people's brains.

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Speaker 4: This is the weird story.

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Speaker 6: Yeah, we're gonna, We're gonna it.

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Speaker 5: Also, Netsagnahu moved up a trip. He's in town here

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Speaker 5: today meeting actually closed door for now with Donald Trump

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Speaker 5: around eleven a m. That's also as Trump is weighing

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Speaker 5: whether to keep escalating in Oran. Potentially what a second

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Speaker 5: aircraft carrier group on the table right now.

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Speaker 3: Yeah, Rock Revied called him up and he's like, man,

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Speaker 3: maybe I'll send another one.

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Speaker 4: So now that's news something.

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Speaker 3: This is who's seventh trip in Trump's second term and.

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Speaker 6: It's a we're a year in we're trips.

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Speaker 8: Yeah.

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Speaker 5: We also have a really odd new development in the

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Speaker 5: case of Nancy Guthrie. So that's Savannah Guthrie's mom obviously,

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Speaker 5: who appears to have been abducted. The FBI released new

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Speaker 5: photos and video of a suspect yesterday. Interestingly, though, some

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Speaker 5: of it is from a Nest camera, and it appears

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Speaker 5: that Nancy Guthrie did not have a Nest camera subscription.

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Speaker 5: So what does that mean, Well, it means that Nest

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Speaker 5: maybe recording constantly and saving the files whether or not

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Speaker 5: you have a subscription files on that creepy ring super

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Speaker 5: Bowl commercial. So we're going to talk about all of that.

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Speaker 5: And Ryan, you interviewed a candidate in New Jersey.

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Speaker 4: That's right.

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Speaker 3: Honor Lilia Mahia was yesterday declared the official victor in

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Speaker 3: New Jersey eleven because Tom Malinowski, or chief opponent who's

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Speaker 3: only behind by less than a thousand votes, conceded. This

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Speaker 3: is the race where APAX spent two plus million dollars

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Speaker 3: to stop Malinowski from winning and accidentally elected Mahea, who's

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Speaker 3: a Ernie, AOC wing Democrat who has been calling out

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Speaker 3: Israel's genocide and calling for all weapons shipments to be

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Speaker 3: stopped for two years, two plus years now, So big

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Speaker 3: l for APACK. So we'll talk to Aunt Lilia about

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Speaker 3: what she plans to do when she gets to Washington

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Speaker 3: and her reflections on the race.

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Speaker 4: Now that she's been declared the winner.

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Speaker 5: And don't forget to subscribe it if you haven't yet,

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Speaker 5: it's super helpful. You can go to Breakingpoints dot com

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Speaker 5: for a premium subscription. That's also where if you get

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Speaker 5: the premium subscription you get the show early in full

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Speaker 5: No problem if you can't just like comment and subscribe.

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Speaker 5: It helps us so much. Now, Ryan, let's get on

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Speaker 5: to the news that yesterday Representative Rocanna went and you

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Speaker 5: may be seeing more of this was able to view

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Speaker 5: unredacted Epstein files. Thomas Massey has been doing this as well,

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Speaker 5: and Rocana used his privilege of speaking on the House

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Speaker 5: floor to name the people who are in.

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Speaker 3: Carrazeus can't see a member of Congress for something they

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Speaker 3: say on the floor, which.

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Speaker 4: What's her name?

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Speaker 6: Nancy Mays?

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Speaker 3: Nancy Mays used for her own messy drama, Jkanna using

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Speaker 3: for the public for.

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Speaker 6: The public's massy drama. Very so let's go ahead and

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Speaker 6: roll this.

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Speaker 5: Uh, this is going to be a st of them

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Speaker 5: talking about who's behind these redactions.

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Speaker 9: Congressman Massey and I went to the Department of Justice

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Speaker 9: to read the unredacted Epstein files. We spent about two

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Speaker 9: hours there and we learned that seventy to eighty percent

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Speaker 9: of the files are still redacted. In fact, there were

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Speaker 9: six wealthy powerful men that the DOJ hid for no

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Speaker 9: apparent reason. When Congressman Massey and I pointed this out

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Speaker 9: to the Department of Justice, they acknowledged their mistake, and

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Speaker 9: now they have revealed the identity of these six powerful men.

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Speaker 9: These men are Salvator Novora, Zorab mikolads Leapig Leonor Nicola Kaputa,

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Speaker 9: Sultan Ahmed bin Soliam, CEO of Dubai Ports World, and

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Speaker 9: billionaire businessman Leslie Wexner.

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Speaker 5: Leslie Wexner, Oh, interesting, Ryan, who I believe is actually

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Speaker 5: going to sit for questions.

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Speaker 4: Yeah, we'll see, we'll see if he actually answers anything.

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Speaker 6: But yeah, unless yeah, you get.

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Speaker 4: Obviously he was subpoenaed by Congress.

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Speaker 6: Subpoena by Congress.

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Speaker 4: He just turned over his fortune to Jeffrey Epstein for

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Speaker 4: no reason.

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Speaker 5: And we can put the next element up on the screen.

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Speaker 5: This is from Aaron Parnas who said he spoke with Rocanna,

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Speaker 5: who quote confirmed that most of the unredacted files remain

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Speaker 5: redacted because the FBI scrubbed them in marsh and then

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Speaker 5: gave the DOJ redacted copies. Now the FBI is under

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Speaker 5: the DOJ, so kind of a processed question there about

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Speaker 5: what that means Ryan, but Parna says DOJ seemingly never

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Speaker 5: for new unredacted versions of those files.

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Speaker 6: Big names.

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Speaker 5: Now you you all at drop site have done reporting

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Speaker 5: on the Sultan, who plays a rather interesting role in

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Speaker 5: all of this.

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Speaker 3: I feel like they're going to throw him under the bus.

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Speaker 3: He's going to be a kind of sacrificial lambia a Sultan.

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Speaker 3: Sulium is a the chair of Dubai Ports World DP World,

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Speaker 3: which is an Emirodi company which is extremely impopular important

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Speaker 3: for you to understand how the world works. This is

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Speaker 3: a company that for decades has been you know, inserting

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Speaker 3: itself into the flow of commodities and oil throughout the world.

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Speaker 3: And Epstein has been friends with this guy for a

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Speaker 3: very long time. Like the you know, the ports are

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Speaker 3: the arteries of power. Like you control the ports, you

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Speaker 3: control the flow of diamond you know, diamonds out of

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Speaker 3: Angola where Epstein was operating or basically all commodities like that.

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Speaker 3: Epstein very fluidly understood power, and not just power at

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Speaker 3: a like cocktail circuit level, but how wealth actually moves

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Speaker 3: around the world and who controls it and how, and

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Speaker 3: so the Israelis and the Amorats also very deeply understand this,

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Speaker 3: and they are very closely allied.

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Speaker 4: Suliam was one of.

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Speaker 3: His seems like closest associates, deeply involved in all of

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Speaker 3: this like predatory, perverted stuff that they were doing, yes,

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Speaker 3: as you see in the emails, and so yeah, we

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Speaker 3: wrote about him mid January and his connection to Israel

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Speaker 3: and to Epstein. There's been further reporting now on him

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Speaker 3: since then, basically exposing him for being a creep. And

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Speaker 3: it's interesting to see the difference between the kind of

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Speaker 3: mainstream coverage of him and ours, which is like, we're

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Speaker 3: going to tell you how he and his company fit

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Speaker 3: into world power and also that he's a creep. The

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Speaker 3: rest of the media they're just going to like flag

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Speaker 3: that he's a creep and then they're going to eject him,

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Speaker 3: you know what they're gonna do then put another chairman

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Speaker 3: of of Byports World in there, right, who will continue

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Speaker 3: the same system that will be just as corrupt, right, No.

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Speaker 5: I think that's actually true of most of the drop

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Speaker 5: site covers. When you're contrasting it with.

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Speaker 3: We're telling you what's actually happening, yes, and where it

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Speaker 3: fits into the story of the world.

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Speaker 6: You could do both at the same time. You can.

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Speaker 3: It turns out you can, yes, well you cannot, which

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Speaker 3: is the other way of doing it.

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Speaker 5: Well, So speaking about power fits into the bigger picture.

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Speaker 5: Howard Lutnik was testifying Commerce Secretary Lutnik in front of

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Speaker 5: the Appropriations Committee yesterday and got some big questions about

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Speaker 5: what seems to be a massive golf between his earlier

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Speaker 5: explanation of any relationship with Jeffrey Epstein he may have

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Speaker 5: had and what is actually in the files.

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Speaker 3: Real quick, before we move to that, let's just give

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Speaker 3: Rocanna and Massy their flowers again. So, like, these are

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Speaker 3: the first two members of Congress where I'm like, I'm

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Speaker 3: kind of worried about these guys.

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Speaker 5: Like that's how that's a good point, Like that's how

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Speaker 5: stay out of guyana.

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Speaker 4: Hardcore they're being.

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Speaker 3: In their pursuit of this, And I'm like, oh, watch yourself, Row,

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Speaker 3: watch yourself, Thomas, I mean, and they're trying to get

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Speaker 3: my man. They're spending millions to get Massy out of office.

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Speaker 3: The oligarchs are trying to get Rocana out. They're are

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Speaker 3: they too late. We'll see, We'll see if they can

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Speaker 3: orchestrate that. But I'm even beyond that. Rocanna, more than

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Speaker 3: any other Democrat, has been paying attention to independent media

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Speaker 3: for the longest time. Everyone who watches this show knows this.

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Speaker 3: And it's not a coincidence. I don't think that he

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Speaker 3: had his finger on the pulse of where people were

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Speaker 3: on this issue long before his colleagues, because it's colleagues

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Speaker 3: are following the New York Times and CNN, and that's

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Speaker 3: where they're taking their cues. So they're like, oh, Epstein,

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Speaker 3: nobody cares about this. And Rocanna, he's following this show.

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Speaker 3: He's following the broad podcast or universe. He's like, Oh,

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Speaker 3: I see what people care about. And people come up

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Speaker 3: to him all over the country now because he's been

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Speaker 3: out on so much in the kind of media and

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Speaker 3: talked to him about stuff, so he has he like

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Speaker 3: he interestingly is like one of the more in touch

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Speaker 3: politicians because he's been able to because he's he kind

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Speaker 3: of chose like I'm going to see what this independent

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Speaker 3: media space is all about.

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Speaker 5: Yeah, and he learned quickly because he was He's told

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Speaker 5: us this before when he was going out to airports whatever.

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Speaker 5: People would say, oh my gosh, I've seen you on

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Speaker 5: breaking But that gives you a sense of like, really.

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Speaker 4: The people don't say that about CNN.

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Speaker 6: Probably not, probably not, probably not.

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Speaker 3: Dam Howard Lutnik guy can spin an amazing yard. He

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Speaker 3: did this incredible story one time about it the first

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Speaker 3: time he met Epstein, and he can really tell it.

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Speaker 4: Good story.

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Speaker 3: You imagine him at a dinner party today. And so

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Speaker 3: he told this incredible story about the first time he

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Speaker 3: met Epstein and he just had this visceral disgust at him.

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Speaker 3: Never saw him, never, never wanted to see him ever again,

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Speaker 3: cut him out of his life. So let's let's see

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Speaker 3: where that ended up.

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Speaker 10: Yeah, did you have a dinner in Epstein's New York

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Speaker 10: City home in two thousand and eleven? No, So the

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Speaker 10: information that suggests that there was a dinner with Woody

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Speaker 10: Allen and Woody Allen's spouse at the Epstein residence, that's

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Speaker 10: that's there's nothing to that, is that right?

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Speaker 11: I actually don't know what you're referring to, there was Look,

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Speaker 11: I looked through the millions of documents for my name,

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Speaker 11: just like everybody else, and what I found was there

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Speaker 11: was a document that says that I had a meeting

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Speaker 11: with him on in May, I think for an hour

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Speaker 11: for at five o'clock, not dinner or otherwise, for an

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Speaker 11: hour at five o'clock.

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Speaker 10: When you visited the private island. Did you see anything

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Speaker 10: inappropriate during that visit?

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Speaker 11: The only thing I saw with my wife and my

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Speaker 11: children and the other couple and their children was staff

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Speaker 11: who worked for mister Epstein on that island.

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Speaker 10: And you realized that this visit took place after he

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Speaker 10: had been convicted, right, I mean, you made a very

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Speaker 10: big point of saying that you sensed that this was

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Speaker 10: a bad person in two thousand and five, and then,

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Speaker 10: of course in two thousand and eight he was convicted

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Speaker 10: of soliciting prostitution of a minor, and yet you went

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Speaker 10: and had this trip and other interactions.

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Speaker 5: So it turns out Howard Lutnik claims cut off contacked.

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Speaker 5: In two thousand and five, these emails are released, and

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Speaker 5: lo and behold, there's a twenty twelve message showing that

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Speaker 5: Howard Lutnik obviously visited the island for lunch.

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Speaker 6: Ryan, that's a listen.

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Speaker 5: He's Canter Fitzgerald, he's jet setting going all over the world.

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Speaker 5: I don't know that he actually forgot about that one.

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Speaker 3: I feel bad for these billionaires, you know, they're just

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Speaker 3: getting busted for doing billionaire things. Look who hasn't been

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Speaker 3: out on their yacht in the Caribbean and stopped in

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Speaker 3: on Jeffrey Epstein's island for lunch and then forgotten about it. Now,

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Speaker 3: in his defense, I will say, if you went to

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Speaker 3: the island with your kids and your wife and you

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Speaker 3: had lunch and like there's nothing, there's no partying.

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Speaker 6: He actually was.

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Speaker 5: You can see in the emails a lot of messages

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Speaker 5: where Epstein is offering people to bring their families by

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Speaker 5: when they're on vacation in the Caribbean.

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Speaker 6: For whatever reason.

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Speaker 5: Oftentimes Epstein wasn't there was You can see him organizing

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Speaker 5: with his staff in these emails, obviously trying to ingratiate

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Speaker 5: himself with them.

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Speaker 4: Right.

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Speaker 3: So I don't so I don't think that Howard but

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Speaker 3: Nick participated in any of this bachanalia with children or

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Speaker 3: whatever it's like. But still to like say, that in

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Speaker 3: two thousand and five, this is his neighbor. By the

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Speaker 3: way that you sensed he was total creep and then

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Speaker 3: he gets convicted and then you bring your kids to

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Speaker 3: the island for lunch.

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Speaker 4: There's not I've never.

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Speaker 3: Like yachted around the Caribbean, so I don't know how

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Speaker 3: hard it is to find a lunch spot.

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Speaker 4: Maybe maybe that's a real.

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Speaker 3: Only place really, Yeah, everything else closed, or like half

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Speaker 3: an hour to get a table.

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Speaker 4: Yeah, Epstein's like, come on over Secondtail. It's one of

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Speaker 4: the only places pizza God serving pizza.

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Speaker 5: Yep Oh, Dark just picked up on that one. All right,

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Speaker 5: let's say, let's let's put this quote from Jimmy Raskin

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Speaker 5: up on the screen. He said yesterday that in the

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Speaker 5: unredacted Epstein files, Donald Trump's name came up quote more

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Speaker 5: than a million times, that is according to Axios. Now

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Speaker 5: important to note a lot of what is in the

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Speaker 5: DJ's Epstein files is from Trump's first presidency and subsequent years,

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Speaker 5: meaning people were calling in tips about high profile politicians,

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Speaker 5: including Donald Trump. So a lot of that is probably

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Speaker 5: from unredacted unredacted tips. But there are plenty of mentions

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Speaker 5: of Trump between Bannon and Epstein between and at one

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Speaker 5: point there's all kinds of word stuff obviously, as people

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Speaker 5: know already, but at one point they're talking about getting

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Speaker 5: Bannon to kind of woo Kushner to the populist side.

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Speaker 5: So there's conversations about policy, there's conversations about uh. I mean,

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Speaker 5: there's conversations about Trump that predate even his administration. So

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Speaker 5: it's not shocking. That number is actually not shocking to

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Speaker 5: me at all.

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Speaker 4: Right, I think that's right.

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Speaker 3: I would I'd call this a kind of a misleading

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Speaker 3: number in that sense, because if anybody sent an email

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Speaker 3: or called that BI at any point, even after Epstein

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Speaker 3: died and said, hey, I think Trump killed Epstein boom,

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Speaker 3: that would like go into the files and like that

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Speaker 3: doesn't actually tell us anything just some random person said that.

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Speaker 4: Other than that random person's.

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Speaker 3: Kind of being funny or like maybe they actually had

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Speaker 3: some information.

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Speaker 5: Yeah, And some of those tips, I mean, that's what's unfortunate.

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Speaker 5: Some of those tips are probably legitimate. Some of them

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Speaker 5: are clearly from mentally disturbed people, and that doesn't make

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Speaker 5: them legitimate, but it does make them, you know, you

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Speaker 5: take them with a grain of salt. When people are

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Speaker 5: talking about all kinds of different strange stuff that's mixed

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Speaker 5: up in this, and you can if you search the files,

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Speaker 5: you will find that immediately. If you're spending like a

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Speaker 5: half an hour, you'll see all kinds of tips like that.

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Speaker 3: It doesn't you probably get it a lot of these

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Speaker 3: two right, like just emails from the public, and you

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Speaker 3: can tell oftentimes that this is a mentally ill person

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Speaker 3: who's just who's making like wild allegations if out of context.

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Speaker 3: Somebody screenshot of that was like, look with this, per

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Speaker 3: look what this says. It's in FBI files, Like, well,

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Speaker 3: we'll hold on a second, yep Like easy, now, Well,

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Speaker 3: and there's a I'm defending Trump and Epstein.

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Speaker 5: It was I think it was Tucker who was floating

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Speaker 5: the theory that some of these tips are just getting

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Speaker 5: mixed into the files. I mean, there's still three million

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Speaker 5: files that haven't been released according to their own numbers.

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Speaker 5: So are these tips being mixed in intentionally to just

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Speaker 5: credit the entire bat Absolutely?

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Speaker 3: Absolutely, Because what the FBI could have done is released

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Speaker 3: them as unverified public allegations.

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Speaker 4: Every single one could be called that.

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Speaker 3: But because they redact everything that gives it any context,

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Speaker 3: give it no additional context.

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Speaker 4: You look at it like, Department of Justice says, wow, like.

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Speaker 3: Yeah, you could also I think it is a deliberate

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Speaker 3: misinformation strategy.

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Speaker 5: Well, they're also keeping again like three million distance to themselves. Yes,

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Speaker 5: it's dis but they're also keeping like three million to

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Speaker 5: them So they could have just not released if they were.

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Speaker 5: If they're planning to not release things, the thing that

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Speaker 5: you would not release is the unvetted tips. Like, that's

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Speaker 5: pretty obvious. Meanwhile, crazy story here. This is a five

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Speaker 5: So local media in Ohio, this is their NBC affiliate

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Speaker 5: in Columbus said convicted sex offender Jeffrey Epstein paid Ohio

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Speaker 5: State University's head of gynecology quarterly payments of thousands of dollars.

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Speaker 5: Department of Justice file show. So this is what local

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Speaker 5: reporters found in the files. Mark Landon, a physician and

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Speaker 5: professor at OSU in the chair of the obstinate I

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Speaker 5: can ever pronounce that word obgi. N department received quarterly

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Speaker 5: payments of thousands of dollars from Epstein in the early

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Speaker 5: two thousands, records show.

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Speaker 6: According to release files, land And received as much as

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Speaker 6: twenty five thousand dollars. We're talking early.

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Speaker 5: Two thousands, twenty five thousand dollars to two every few months.

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Speaker 5: He told NBC four the payments were for quote consulting

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Speaker 5: work and he had no knowledge of Epstein's crimes. Ryan Columbus, Ohio,

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Speaker 5: Lex Wexner, Victoria's secret land.

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Speaker 3: Yeah, and the story that we're about to tell you

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Speaker 3: about the next segment is going to provide some useful

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Speaker 3: context that Emily and I and Moz wrote. But for yes,

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Speaker 3: for more contexts on the western part. As if you've

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Speaker 3: been following along with our reporting, you know that and

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Speaker 3: other people have done this reporting as well, that Jeffrey

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Speaker 3: Epstein brought the CIA's around Contra Airline. The plane they

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Speaker 3: were using the ship drugs and weapons and diamonds and everything.

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Speaker 3: When in the heat, you know, when the heat was on,

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Speaker 3: they needed laylo a little bit. Epstein moved the planes

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Speaker 3: to Columbus, Ohio to be used by Wexner for his

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Speaker 3: lingerie business. And that was this is in Columbus, Ohio.

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Speaker 3: Wexner is like the dawn of Ohio State University. So

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Speaker 3: it's not surprising that there would be links there. Now,

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Speaker 3: what Landon says he did, He said, I was a

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Speaker 3: paid consultant for the New York Strategy Group regarding potential

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Speaker 3: biotech investments from two thousand and one to two thousand

403
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Speaker 3: and five. I had no knowledge of any criminal activities.

404
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Speaker 3: I find them reprehensible, and I feel terrible for Epstein's victims.

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Speaker 3: That Epstein would have this guy on a consulting contract

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Speaker 3: looking at biotech investments from two thousand and two thousand

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Speaker 3: and five actually checks out fully and doesn't make what

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Speaker 3: Epstein was doing any less creepy. It actually makes it

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Speaker 3: much worse. But we'll talk about that in the next

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Speaker 3: in the next segment.

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Speaker 5: Well, and here's this New York Times in twenty nineteen

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Speaker 5: reported Epstein. Many people probably are familiar with this quote.

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Speaker 5: The wealthy financiers accused of sex trafficking had an unusual dream.

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Speaker 5: He hoped to seed the human race with his DNA

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Speaker 5: by impregnating women at his vast New Mexico ranch. Mister

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Speaker 5: Epstein over the years, confided to scientists and others about

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Speaker 5: his scheme. According to four people familiar with his thinking,

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Speaker 5: although there's no evidence that it ever.

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Speaker 6: Came to fruition. That's a hell of a line.

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Speaker 5: Or you're saying the human race has not been seated

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Speaker 5: with his DNA Elon.

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Speaker 4: Musk isn't even original on that one.

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Speaker 5: No, yeah, he's always just one step behind.

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Speaker 4: He is, uh, do the Trump thing real quick and

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Speaker 4: then and then move on. Yeah, let's say put up.

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Speaker 4: This is interesting. A six.

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Speaker 3: This is a heavily redacted document that appears to come

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Speaker 3: from the Palm Beach Police Department. This is a guess,

429
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Speaker 3: like we can't really tell because these jerks redact so much.

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Speaker 3: Palm Beach Police Department is not a victim here, So

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Speaker 3: on what grounds are you not letting us know whether

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Speaker 3: or not this is from the Palm Beach because if

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Speaker 3: it is from the Palm Beach Police Department, this is interesting.

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Speaker 3: And if it is, they say at the end that

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Speaker 3: Trump was somebody who called the Palm Beach Police after

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Speaker 3: they started investigating Epstein and said I'm.

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Speaker 4: Glad you got this guy.

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Speaker 3: He was a creepy and that you should look into

439
00:22:51,000 --> 00:22:55,919
Speaker 3: Glen because she's evil and even worse. But again, I

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Speaker 3: don't know, is this Palm Beach Police? Is this credible?

441
00:22:59,280 --> 00:23:03,080
Speaker 3: It like it's Palm Beach Police. But in this what

442
00:23:03,160 --> 00:23:05,320
Speaker 3: I think is a deliberate effort to confuse all of

443
00:23:05,400 --> 00:23:09,679
Speaker 3: us and make it impossible to grab onto anything. The

444
00:23:09,720 --> 00:23:15,480
Speaker 3: DJ is not explaining. I'm actually will ask Rocan and

445
00:23:15,560 --> 00:23:17,520
Speaker 3: Tom's Massy if they can actually look at this one

446
00:23:17,520 --> 00:23:18,840
Speaker 3: privately or some other members.

447
00:23:18,880 --> 00:23:21,000
Speaker 5: And so the actually the former police chief, his name

448
00:23:21,080 --> 00:23:25,639
Speaker 5: is Michael Ryder. He told the Miami Harold that the

449
00:23:25,720 --> 00:23:28,359
Speaker 5: call with Trump occurred in July of two thousand and six.

450
00:23:29,119 --> 00:23:30,560
Speaker 6: So I think he's Julie K. Brown that.

451
00:23:30,840 --> 00:23:35,320
Speaker 3: Yeah, so there is contemporaneous reporting to back up. That's

452
00:23:35,400 --> 00:23:36,960
Speaker 3: that's why we wanted to put this on there, because

453
00:23:36,960 --> 00:23:38,080
Speaker 3: it does appear to be credible.

454
00:23:38,440 --> 00:23:42,119
Speaker 5: Yes, it's a very interesting bit of information, like what

455
00:23:42,359 --> 00:23:43,800
Speaker 5: are you redacting the police chief there?

456
00:23:44,320 --> 00:23:46,520
Speaker 6: So completely ridiculous for whoever it is.

457
00:23:46,600 --> 00:23:51,399
Speaker 5: Yeah, let's move on to where eugenics block, which is

458
00:23:51,400 --> 00:23:54,120
Speaker 5: also an Epstein block, because Epstein, as it turns out,

459
00:23:54,600 --> 00:23:57,879
Speaker 5: we just covered this basically, it is very interested in eugenics. Ryan,

460
00:23:58,440 --> 00:24:04,639
Speaker 5: you and mas Orite did this incredible report and I

461
00:24:04,720 --> 00:24:06,600
Speaker 5: dropped in at the last minute and added like a

462
00:24:06,680 --> 00:24:10,200
Speaker 5: hundred words. But this was fantastic reporting. You guys went

463
00:24:10,240 --> 00:24:14,159
Speaker 5: back years and painted I think a really important piece

464
00:24:14,200 --> 00:24:16,119
Speaker 5: of this overall picture.

465
00:24:16,320 --> 00:24:19,600
Speaker 3: Yeah, team effort over a drop side though, Miles and

466
00:24:19,600 --> 00:24:24,560
Speaker 3: I slapping our names on it. The it's it's hard

467
00:24:24,600 --> 00:24:26,800
Speaker 3: to even explain what the heck is, what the heck

468
00:24:26,840 --> 00:24:30,560
Speaker 3: this guy's doing here, because it's it's so far kind

469
00:24:30,600 --> 00:24:36,280
Speaker 3: of advanced and advanced into like just like I keep

470
00:24:36,359 --> 00:24:40,359
Speaker 3: using the word creepy, but there isn't really there isn't

471
00:24:40,400 --> 00:24:45,400
Speaker 3: really a better one. This is somebody who was understood

472
00:24:45,400 --> 00:24:48,560
Speaker 3: that he himself was not of the kind of brilliant

473
00:24:48,560 --> 00:24:51,240
Speaker 3: mind that was going to understand and code break either

474
00:24:51,320 --> 00:24:55,479
Speaker 3: DNA or bitcoin or things like that, but he was

475
00:24:55,960 --> 00:24:58,320
Speaker 3: he understood it enough to understand who the people were

476
00:24:58,960 --> 00:25:01,439
Speaker 3: and to be able to connect them and to and

477
00:25:01,480 --> 00:25:04,639
Speaker 3: to finance them, and then to try to like I

478
00:25:04,640 --> 00:25:08,200
Speaker 3: think here he talks about wanting to have cloned himself.

479
00:25:08,600 --> 00:25:09,320
Speaker 6: Who among us?

480
00:25:09,400 --> 00:25:10,040
Speaker 4: Who among us?

481
00:25:10,880 --> 00:25:15,000
Speaker 3: And to do DNA experiments and like he and so

482
00:25:15,560 --> 00:25:18,800
Speaker 3: the headline of the article refers to how he wanted

483
00:25:18,840 --> 00:25:21,000
Speaker 3: to turn his new he built his new Mexico ranch,

484
00:25:21,040 --> 00:25:24,360
Speaker 3: he said, to be this Manhattan project for basically kind

485
00:25:24,400 --> 00:25:28,200
Speaker 3: of hacking the genome. Like so he wanted to connect

486
00:25:29,119 --> 00:25:34,840
Speaker 3: n SA hackers. Yes to biology. That's why I say

487
00:25:34,880 --> 00:25:37,680
Speaker 3: that in the last segment that this biotech research thing

488
00:25:37,720 --> 00:25:40,800
Speaker 3: actually tracks like this is the kind of thing that

489
00:25:40,880 --> 00:25:45,639
Speaker 3: he was into. He and he's arguing that once you

490
00:25:45,680 --> 00:25:48,520
Speaker 3: get into the world of code, you know, now you're

491
00:25:48,520 --> 00:25:51,879
Speaker 3: talking about math, and you actually can try to maybe

492
00:25:51,880 --> 00:25:53,800
Speaker 3: somebody can answer some of these questions, that maybe you

493
00:25:53,840 --> 00:25:59,680
Speaker 3: can get in there manipulate DNA and reshape humanity. And

494
00:26:00,119 --> 00:26:02,240
Speaker 3: like he was trying to do nothing less than that,

495
00:26:02,280 --> 00:26:05,280
Speaker 3: and had the resources and the connections to do it.

496
00:26:05,280 --> 00:26:09,360
Speaker 3: It's like, you sound crazy even talking about it, but

497
00:26:09,400 --> 00:26:12,800
Speaker 3: that's what it happened. We can put up the first

498
00:26:12,880 --> 00:26:17,439
Speaker 3: element up here. It's from sorry that that's the headline

499
00:26:17,440 --> 00:26:17,879
Speaker 3: of the story.

500
00:26:18,200 --> 00:26:19,840
Speaker 4: You can put up the put up the next element.

501
00:26:19,920 --> 00:26:21,360
Speaker 4: Read a little bit from it.

502
00:26:21,720 --> 00:26:24,919
Speaker 3: Like many of his ultra wealthy peers, Jeffrey Epstein was

503
00:26:24,920 --> 00:26:28,800
Speaker 3: fascinated by gene therapy and life extension technology. He once

504
00:26:28,840 --> 00:26:32,160
Speaker 3: suggested to news anchor Katie Kurk, to her shock and disgust,

505
00:26:32,480 --> 00:26:35,399
Speaker 3: that he even planned to clone himself. But his interest

506
00:26:35,480 --> 00:26:38,520
Speaker 3: in genomics was more than a passing fancy. It was

507
00:26:38,560 --> 00:26:41,840
Speaker 3: an enduring obsession during the final decades of his life.

508
00:26:41,880 --> 00:26:44,200
Speaker 3: And that's the key point is that he's not alone

509
00:26:44,200 --> 00:26:47,440
Speaker 3: at all, Like there's something about this and you've got

510
00:26:47,480 --> 00:26:49,560
Speaker 3: you guys have seen it. You see it from Peter

511
00:26:49,640 --> 00:26:54,320
Speaker 3: Teel and all these other brain transhumanists, Like he was

512
00:26:54,440 --> 00:26:57,680
Speaker 3: way ahead of it, Like he was a pioneer in

513
00:26:57,760 --> 00:27:01,480
Speaker 3: creating this space that the Teals and the Johnson's have

514
00:27:01,560 --> 00:27:06,760
Speaker 3: kind of moved into toay and they're really making this

515
00:27:06,840 --> 00:27:09,440
Speaker 3: their obsession that they're going to live forever. Tim Dillon

516
00:27:09,480 --> 00:27:13,160
Speaker 3: has had a good couple bits on that, like why, Yeah,

517
00:27:13,000 --> 00:27:15,840
Speaker 3: your life, you want this life to go on? Don't

518
00:27:15,880 --> 00:27:19,040
Speaker 3: seem happy? Yeah, what are you doing? You want to

519
00:27:19,040 --> 00:27:20,320
Speaker 3: do the next Yeah.

520
00:27:20,640 --> 00:27:22,560
Speaker 6: Let's move on to the next element here, I'll read

521
00:27:22,560 --> 00:27:24,880
Speaker 6: from this. This is from the drop site story.

522
00:27:25,200 --> 00:27:27,600
Speaker 5: In December two thousand and six, before Epstein was jailed

523
00:27:27,600 --> 00:27:30,080
Speaker 5: for prostitution of a minor and Palm Beach, Glen Maxwell

524
00:27:30,119 --> 00:27:33,439
Speaker 5: invited who Google co founder Serge Brand and his then

525
00:27:33,480 --> 00:27:36,399
Speaker 5: girlfriend Annimal Jicky to Epstein's Little Saint James Island, according

526
00:27:36,400 --> 00:27:39,320
Speaker 5: to emails and Epstein's hacked Yahoo inbox about it and

527
00:27:39,320 --> 00:27:42,400
Speaker 5: published by a distributed denial of secrets, where Jiki had

528
00:27:42,480 --> 00:27:45,959
Speaker 5: founded a personal genomics startup called twenty three and Meter.

529
00:27:46,440 --> 00:27:48,879
Speaker 5: You may have heard of that, and Maxwell encouraged Epstein

530
00:27:48,960 --> 00:27:50,440
Speaker 5: to cultivate a relationship with her.

531
00:27:50,960 --> 00:27:53,000
Speaker 6: Be v nice to her, not stupid.

532
00:27:53,080 --> 00:27:57,320
Speaker 5: Maxwell wrote, She's interested in matvy, DNA, et ceter.

533
00:27:57,720 --> 00:28:01,840
Speaker 6: She is key, smiley face, she is key.

534
00:28:01,880 --> 00:28:04,639
Speaker 3: I mean it is interesting that her, his sort of

535
00:28:04,680 --> 00:28:08,440
Speaker 3: girlfriend best friend, has to remind him.

536
00:28:09,920 --> 00:28:13,080
Speaker 4: Look, we know that you're a disgusting.

537
00:28:12,520 --> 00:28:15,600
Speaker 6: Creature, so real a little bit.

538
00:28:15,800 --> 00:28:18,920
Speaker 3: Try not to be a disgusting creature around this particular woman,

539
00:28:19,800 --> 00:28:22,400
Speaker 3: because you need her for your other disgusting venture, which

540
00:28:22,440 --> 00:28:26,120
Speaker 3: is this hacking of the world's DNA.

541
00:28:26,280 --> 00:28:28,600
Speaker 6: She was so lucky to have everyone in his side

542
00:28:28,680 --> 00:28:30,080
Speaker 6: like that. Yeah, everyone needs a gallaine.

543
00:28:31,320 --> 00:28:33,080
Speaker 4: You can put up the next element here.

544
00:28:33,600 --> 00:28:38,000
Speaker 3: Epstein's interest in gene editing was not purely intellectual.

545
00:28:38,040 --> 00:28:38,840
Speaker 4: It was personal.

546
00:28:39,440 --> 00:28:44,040
Speaker 3: Joe Thikoria, Church's Harvard Medical School colleague, helped Epstein conduct

547
00:28:44,080 --> 00:28:47,240
Speaker 3: research on his own genome. In June twenty fourteen, The

548
00:28:47,320 --> 00:28:50,200
Speaker 3: Corea sent Epstein one hundred ninety three four hundred dollars

549
00:28:50,240 --> 00:28:54,800
Speaker 3: invoice for a package deal to mutate his adult stem

550
00:28:54,880 --> 00:28:58,080
Speaker 3: cells quote to increase longevity. Noting the quote, if we

551
00:28:58,200 --> 00:29:01,000
Speaker 3: do this, he liked, George would be one of very

552
00:29:01,080 --> 00:29:03,160
Speaker 3: few people in the world to have this done.

553
00:29:03,240 --> 00:29:03,760
Speaker 4: Unquote.

554
00:29:03,880 --> 00:29:06,080
Speaker 3: Later that year, Epstein tried to arrange a meeting between

555
00:29:06,120 --> 00:29:09,400
Speaker 3: Church and Bill Gates to discuss quote anti aging and

556
00:29:09,440 --> 00:29:14,680
Speaker 3: genetic fabrications. This is twenty fourteen. This is when this

557
00:29:14,960 --> 00:29:19,240
Speaker 3: is Brian Johnson's what in middle school? No he Jeffrey

558
00:29:19,280 --> 00:29:20,640
Speaker 3: Epstein walk Now.

559
00:29:20,560 --> 00:29:22,160
Speaker 6: He's going to be middle school in about twenty years.

560
00:29:22,200 --> 00:29:23,920
Speaker 4: Rian Johnson could do whatever it is he's doing.

561
00:29:24,080 --> 00:29:26,960
Speaker 5: Yeah, well, yeah, I mean you just see the levels

562
00:29:26,960 --> 00:29:30,160
Speaker 5: of people who are being wrapped into this big picture scheme.

563
00:29:30,240 --> 00:29:33,560
Speaker 5: And also to go to the links of having this

564
00:29:33,720 --> 00:29:37,480
Speaker 5: sprawling New Mexico ranch where you can work on these

565
00:29:37,520 --> 00:29:38,959
Speaker 5: things like it's a Manhattan project.

566
00:29:39,120 --> 00:29:40,719
Speaker 6: Is you can see it.

567
00:29:41,200 --> 00:29:42,880
Speaker 5: And that's why I think your story is so important.

568
00:29:42,920 --> 00:29:45,800
Speaker 5: You can see how important this was to Epstein's broader

569
00:29:45,840 --> 00:29:49,040
Speaker 5: project of wrapping up powerful people together. We can put

570
00:29:49,040 --> 00:29:51,360
Speaker 5: the next one up on the screen. Another thing here

571
00:29:51,400 --> 00:29:56,000
Speaker 5: from the report, where you guys say the files released

572
00:29:56,000 --> 00:29:58,600
Speaker 5: by the DOJ and Oversight Committee have shown Epstein deeply

573
00:29:58,600 --> 00:30:02,000
Speaker 5: preoccupied with theories of racial genetic superiority, and an anonymous essay

574
00:30:02,040 --> 00:30:05,480
Speaker 5: recovered from Epstein's files tyled Africa parasites intelligence.

575
00:30:05,480 --> 00:30:06,520
Speaker 6: The writer used that for.

576
00:30:06,520 --> 00:30:10,600
Speaker 5: Africa the environmental factors parasites, disease known to exert a

577
00:30:10,720 --> 00:30:14,280
Speaker 5: strong negative effect on intelligence. Quote and what is special

578
00:30:14,280 --> 00:30:16,960
Speaker 5: about Jewish intelligence, the author asked, surely, it is that

579
00:30:17,000 --> 00:30:20,800
Speaker 5: it emerged a mercantile settings, natural home of numbers, logic,

580
00:30:20,880 --> 00:30:24,000
Speaker 5: and mathematics. You guys go and write calculations about the

581
00:30:24,000 --> 00:30:26,360
Speaker 5: long term viability of the Israeli state and anxieties about

582
00:30:26,400 --> 00:30:28,760
Speaker 5: the demographics of a Jewish people formed a backdrop to

583
00:30:28,840 --> 00:30:33,800
Speaker 5: Epstein and Barack Ahud Barack's engagement with Vladimir Putin. In

584
00:30:33,840 --> 00:30:36,400
Speaker 5: the last years of Epstein's life, Aho Barocks shared grave

585
00:30:36,480 --> 00:30:40,480
Speaker 5: concerns with Epstein about Israel's looming demographic crisis. During a

586
00:30:40,520 --> 00:30:42,840
Speaker 5: dinner at Epstein's New York mansion in February twenty thirteen,

587
00:30:42,880 --> 00:30:46,240
Speaker 5: Barock told former Obama economic advisor Larry Summers that Israel

588
00:30:46,320 --> 00:30:49,440
Speaker 5: needed to solve needs to solve its Jewish population shortage

589
00:30:49,520 --> 00:30:51,960
Speaker 5: quote before it's too late and stop the quote slippery

590
00:30:51,960 --> 00:30:55,800
Speaker 5: slope to a one state nation with an Arab majority.

591
00:30:56,040 --> 00:30:58,480
Speaker 3: And so yeah, So there you can see how Epstein's

592
00:30:58,600 --> 00:31:04,360
Speaker 3: kind of eugenics and and supremacy you know flow are

593
00:31:04,360 --> 00:31:06,400
Speaker 3: held and are shared by his good friends. So he

594
00:31:06,480 --> 00:31:09,280
Speaker 3: who Barock, former Prime Minister of Israel, that that's in

595
00:31:09,320 --> 00:31:15,160
Speaker 3: that three and a half hour conversation that that was

596
00:31:15,200 --> 00:31:18,560
Speaker 3: released by the Department of Justice. And Barack makes this

597
00:31:18,680 --> 00:31:23,640
Speaker 3: argument that right now it's too difficult for you to

598
00:31:23,720 --> 00:31:26,280
Speaker 3: convert to Judaism and then become an Israeli citizens. So

599
00:31:26,320 --> 00:31:30,040
Speaker 3: what they need to do is take control from the

600
00:31:30,120 --> 00:31:34,560
Speaker 3: rabbinical institutions that currently guide it and make it more

601
00:31:34,600 --> 00:31:37,280
Speaker 3: liberal so that you can then get a bunch of

602
00:31:37,360 --> 00:31:41,960
Speaker 3: Russians who are not Jewish but would rather he says,

603
00:31:42,000 --> 00:31:43,920
Speaker 3: like they'd rather be Jewish.

604
00:31:43,640 --> 00:31:45,000
Speaker 4: Than Russian or something like that.

605
00:31:45,000 --> 00:31:49,280
Speaker 3: That's a silly line that so you can leave Russia,

606
00:31:50,720 --> 00:31:57,320
Speaker 3: come to Israel, convert to Judaism and then that's that's

607
00:31:57,400 --> 00:32:02,800
Speaker 3: his counterweight to the Arab population. And he complains that

608
00:32:02,880 --> 00:32:06,800
Speaker 3: the early Zionist settlers had to rely on what you know,

609
00:32:06,840 --> 00:32:12,880
Speaker 3: the undesirable brown miss Rahi and Ethiopian other other Jews

610
00:32:12,960 --> 00:32:18,440
Speaker 3: from Africa in the Middle East, who well Jewish, so

611
00:32:18,600 --> 00:32:20,280
Speaker 3: like the Jewish state had to take them in. But

612
00:32:20,320 --> 00:32:24,440
Speaker 3: Barak is saying that's that's that was deeply unfortunate. The

613
00:32:24,520 --> 00:32:29,959
Speaker 3: Misrahi bigotry in Israel is that there's this undercurrent of it.

614
00:32:29,960 --> 00:32:33,640
Speaker 3: It's not discussed a lot, but there is a lot

615
00:32:33,680 --> 00:32:36,240
Speaker 3: of miss Rahi Jews in Israel complain about being treated

616
00:32:36,360 --> 00:32:42,400
Speaker 3: as as second class citizens there. And this shows that Barak,

617
00:32:42,400 --> 00:32:43,960
Speaker 3: who is considered to be like on the left of

618
00:32:44,000 --> 00:32:48,560
Speaker 3: the Israeli political spectrum, like completely holds that bigoted view

619
00:32:49,120 --> 00:32:53,800
Speaker 3: that they would rather have non Jews from Russia who

620
00:32:53,800 --> 00:32:57,040
Speaker 3: are white. But wait till he learns it, like, lots

621
00:32:57,080 --> 00:33:00,200
Speaker 3: of Russians are pretty brown. Maybe it's gonna make sure

622
00:33:00,280 --> 00:33:02,800
Speaker 3: they're like from the western part of Russia.

623
00:33:03,560 --> 00:33:07,240
Speaker 6: The entire state of Israel is supposed to be in

624
00:33:07,360 --> 00:33:11,440
Speaker 6: theory and anti eugenics Bulwark.

625
00:33:11,760 --> 00:33:15,520
Speaker 3: It's yes, every accusation is a confession. It's on and

626
00:33:15,560 --> 00:33:16,640
Speaker 3: on and on all the way down.

627
00:33:16,840 --> 00:33:18,880
Speaker 6: And Ryan finally take us to Ukraine here.

628
00:33:20,560 --> 00:33:22,560
Speaker 4: And so yeah, so last one here.

629
00:33:22,440 --> 00:33:24,520
Speaker 6: On our world tour of Epstein eugenics.

630
00:33:24,720 --> 00:33:27,640
Speaker 3: Yeah, so put the last one up. In the final year,

631
00:33:27,880 --> 00:33:30,000
Speaker 3: this will bring us to modern day. In the final

632
00:33:30,080 --> 00:33:32,920
Speaker 3: year before his death, Epstein supported a biolab in Ukraine

633
00:33:33,040 --> 00:33:37,240
Speaker 3: for the production of designer babies, led by Hacker Brian Bishop.

634
00:33:37,520 --> 00:33:39,880
Speaker 3: On July twenty first, twenty eighteen, Epstein wrote to Bishop,

635
00:33:39,920 --> 00:33:42,800
Speaker 3: I have no issue with investing. The problem is only

636
00:33:42,840 --> 00:33:46,520
Speaker 3: if I am seen to lead now, because already at

637
00:33:46,520 --> 00:33:48,320
Speaker 3: twenty eighteen, he's the heat is on him.

638
00:33:48,320 --> 00:33:49,520
Speaker 4: At this point, Bishop.

639
00:33:49,240 --> 00:33:52,280
Speaker 3: Wrote back, I have always envisioned there would be anonymity

640
00:33:52,320 --> 00:33:56,960
Speaker 3: requirements about babies. Obviously we can't publicly identify who these

641
00:33:57,000 --> 00:34:00,440
Speaker 3: are or their parents or benefactors. It would brand the

642
00:34:00,520 --> 00:34:03,840
Speaker 3: child as essentially and sadly a freak for life in

643
00:34:03,880 --> 00:34:08,799
Speaker 3: the media anyway. You know, Ukraine Biolabs well should make

644
00:34:09,320 --> 00:34:10,120
Speaker 3: designer babies.

645
00:34:10,160 --> 00:34:12,600
Speaker 5: And let us not forget a twenty thirteen email with

646
00:34:12,680 --> 00:34:15,840
Speaker 5: a redacted sender to Epstein that says, quote, you offered

647
00:34:15,840 --> 00:34:19,080
Speaker 5: to buy my baby six months into our relationship.

648
00:34:19,719 --> 00:34:21,680
Speaker 3: Yeah, and none of this would be worth talking about

649
00:34:21,680 --> 00:34:25,040
Speaker 3: if this guy wasn't operating at the very upper echelons

650
00:34:25,080 --> 00:34:28,759
Speaker 3: of elite global society. That's what you hear everything we

651
00:34:28,760 --> 00:34:30,440
Speaker 3: said for the last ten minutes, and you'd be like,

652
00:34:30,520 --> 00:34:32,279
Speaker 3: all right, this is a toll crank and kook.

653
00:34:32,560 --> 00:34:35,160
Speaker 6: Well I wish, yeah, I was gonna say.

654
00:34:35,160 --> 00:34:37,000
Speaker 5: I mean, the reason that I got into some of

655
00:34:37,040 --> 00:34:40,240
Speaker 5: these emails actually is because I was searching the DOJ

656
00:34:40,560 --> 00:34:43,200
Speaker 5: library for NSA I was just typing in all the

657
00:34:43,760 --> 00:34:46,960
Speaker 5: three letter agencies, and when I got to NSA, you

658
00:34:47,040 --> 00:34:51,680
Speaker 5: see the former White House counsul Kathy Rummler is talking

659
00:34:51,920 --> 00:34:55,400
Speaker 5: like there's a calendar invite for Kathy NSA Signal Intelligence.

660
00:34:55,840 --> 00:34:59,160
Speaker 5: There's some like fairly open conversation that seems to imply

661
00:34:59,239 --> 00:35:03,120
Speaker 5: Epstein is a way she's NSA or CIA affiliated. She

662
00:35:03,200 --> 00:35:07,840
Speaker 5: brags to him about getting a CIA award from John Brennan,

663
00:35:08,719 --> 00:35:11,920
Speaker 5: and so he's moving in intelligence circles. There's a former

664
00:35:11,920 --> 00:35:15,480
Speaker 5: CBS News producer named Dan Dubno in these emails who

665
00:35:15,520 --> 00:35:19,319
Speaker 5: Epstein meets in I think they formally meet in two

666
00:35:19,320 --> 00:35:21,560
Speaker 5: thousand and nine or their relationship begins in two thousand

667
00:35:21,560 --> 00:35:23,600
Speaker 5: and nine. You can see it in the emails. And

668
00:35:23,840 --> 00:35:27,360
Speaker 5: Epstein asked him to connect him to NSSAY code breakers

669
00:35:27,920 --> 00:35:32,000
Speaker 5: and Israeli hackers, and Dubno offers that up on a

670
00:35:32,000 --> 00:35:35,480
Speaker 5: silver platters. He's kind of a technologist, but a CBS

671
00:35:35,480 --> 00:35:38,479
Speaker 5: News producer I think a PBS producer as well. Emmy

672
00:35:38,520 --> 00:35:43,239
Speaker 5: Award winner goes into yeah, it goes into technology and

673
00:35:43,760 --> 00:35:48,439
Speaker 5: is openly trying to help Epstein in these emails get

674
00:35:48,440 --> 00:35:50,520
Speaker 5: connected to people at NSA and.

675
00:35:50,600 --> 00:35:52,000
Speaker 6: In Israeli hacker world.

676
00:35:52,080 --> 00:35:55,839
Speaker 5: So the odds that Epstein had also boris Nicolelch who

677
00:35:55,960 --> 00:35:59,360
Speaker 5: was working like a top Bill Gates advisor. This is

678
00:35:59,400 --> 00:36:04,680
Speaker 5: like Bill Gates top scientific advisor is offering to help

679
00:36:05,080 --> 00:36:09,600
Speaker 5: connect Epstein with NSA people. So the odds that he

680
00:36:09,600 --> 00:36:15,120
Speaker 5: actually was in connection with n s A people, although.

681
00:36:14,480 --> 00:36:16,080
Speaker 3: Yeah, but he needed help to get there, so he

682
00:36:16,160 --> 00:36:17,399
Speaker 3: clearly wasn't working for them.

683
00:36:17,520 --> 00:36:19,480
Speaker 5: But just just to say that, the odds that he

684
00:36:19,520 --> 00:36:22,479
Speaker 5: actually ended up having access to some folks in these

685
00:36:22,520 --> 00:36:23,640
Speaker 5: these spaces is high.

686
00:36:23,680 --> 00:36:25,319
Speaker 3: And what and as you read the story, you'll see

687
00:36:25,360 --> 00:36:29,360
Speaker 3: what his what his real key skill is he connects

688
00:36:30,000 --> 00:36:35,520
Speaker 3: MIT Gates and the Russian you know, the skull Nick

689
00:36:35,600 --> 00:36:39,360
Speaker 3: or Skullnolvic, whatever it's called. Basically the Russian MIT Russian

690
00:36:39,400 --> 00:36:45,440
Speaker 3: tech incubator for this technology transfer project that was that

691
00:36:45,560 --> 00:36:48,839
Speaker 3: was very influential and he's he's kind of key to that.

692
00:36:49,960 --> 00:36:54,480
Speaker 3: So anyway, worth worth the read job numbers are out,

693
00:36:54,480 --> 00:36:56,879
Speaker 3: We'll we'll talk about that later. One hundred and thirty

694
00:36:56,920 --> 00:37:01,759
Speaker 3: thousand jobs, which is beating expectations, which is actually going

695
00:37:01,800 --> 00:37:02,520
Speaker 3: to make Trump mad.

696
00:37:03,000 --> 00:37:04,239
Speaker 4: We'll talk about why that is.

697
00:37:04,640 --> 00:37:11,399
Speaker 5: Next much anticipated jobs report just out this morning and

698
00:37:11,440 --> 00:37:13,920
Speaker 5: beating expectations. We can put this headline up on the

699
00:37:13,920 --> 00:37:16,719
Speaker 5: screen from CNBC, which says US payrolls rose by one

700
00:37:16,800 --> 00:37:19,840
Speaker 5: hundred and thirty thousand in January, more than expected, unemployment

701
00:37:19,920 --> 00:37:23,359
Speaker 5: rate at four point three percent. Now quote more than

702
00:37:23,440 --> 00:37:26,879
Speaker 5: expected in the headline is doing some work because it

703
00:37:26,960 --> 00:37:34,840
Speaker 5: was the Trump administration explicitly trying to downplay the jobs

704
00:37:34,880 --> 00:37:39,279
Speaker 5: report to temper expectations and making an argument for why

705
00:37:39,320 --> 00:37:44,120
Speaker 5: people should temper their expectations about the job report just yesterday.

706
00:37:44,640 --> 00:37:47,960
Speaker 5: So we have the Trump administration reacting, now this is

707
00:37:47,960 --> 00:37:50,760
Speaker 5: going to be c one B guys to the jobs

708
00:37:50,760 --> 00:37:54,040
Speaker 5: report by saying this is the Trump economy. New job

709
00:37:54,080 --> 00:37:57,200
Speaker 5: growth surge in January, adding one hundred and thirty k

710
00:37:57,880 --> 00:37:59,759
Speaker 5: total non farm jobs and one hundred and seventy two

711
00:37:59,760 --> 00:38:03,120
Speaker 5: private sector job, shattering expectations once again. The unemployment rate

712
00:38:03,120 --> 00:38:05,480
Speaker 5: fel Waiters Groop federal employment is now at its lowest

713
00:38:05,560 --> 00:38:09,000
Speaker 5: level since nineteen sixty six. Okay, So before we get

714
00:38:09,040 --> 00:38:14,440
Speaker 5: analysis from Ryan grim Let's roll Peter Navarro just yesterday

715
00:38:15,080 --> 00:38:19,080
Speaker 5: responding to questions about what the administration expected to see

716
00:38:19,320 --> 00:38:22,440
Speaker 5: from the job support when it was released today, the.

717
00:38:22,640 --> 00:38:25,520
Speaker 12: Job supports coming to come out tomorrow. Yeah, we have

718
00:38:25,560 --> 00:38:30,600
Speaker 12: to revise our expectations down significantly for what a monthly

719
00:38:30,719 --> 00:38:33,000
Speaker 12: job number should look like. When we were letting in

720
00:38:33,040 --> 00:38:37,640
Speaker 12: two million illegal aliens, it just they're coming in, come in.

721
00:38:37,760 --> 00:38:41,000
Speaker 12: We had to produce two hundred thousand jobs a month

722
00:38:41,080 --> 00:38:43,759
Speaker 12: for steady State. And by the way, all of the

723
00:38:43,880 --> 00:38:46,759
Speaker 12: jobs that we were creating in Biden years, we're going

724
00:38:46,760 --> 00:38:50,439
Speaker 12: to illegals. Americans were going to the unemployment lines. That's

725
00:38:50,480 --> 00:38:54,480
Speaker 12: totally reversed, and now fifty thousand a month is going

726
00:38:54,520 --> 00:38:57,320
Speaker 12: to be more like what we need. So Pall Street,

727
00:38:57,360 --> 00:38:59,680
Speaker 12: when this stuff comes out, they can't they can't rain

728
00:38:59,760 --> 00:39:02,560
Speaker 12: on that parade. They have to adjust for the fact

729
00:39:02,719 --> 00:39:05,400
Speaker 12: that we're deporting millions of illegal that's a good point

730
00:39:05,440 --> 00:39:06,160
Speaker 12: for job market.

731
00:39:06,200 --> 00:39:10,200
Speaker 6: But it sounds like you're expecting a week number tomorrow. No,

732
00:39:10,440 --> 00:39:11,720
Speaker 6: not expecting a weak number.

733
00:39:11,800 --> 00:39:15,279
Speaker 12: I'm just saying that going forward, when we see a

734
00:39:15,360 --> 00:39:18,720
Speaker 12: number under one hundred thousand, we don't wring our hands.

735
00:39:18,760 --> 00:39:21,240
Speaker 12: We say, yeah, that's going to be steady State.

736
00:39:22,040 --> 00:39:27,239
Speaker 5: Okay, So Ryan today, then they're now saying this is

737
00:39:27,239 --> 00:39:30,040
Speaker 5: a great job support these expectations. This is the Trump economy.

738
00:39:30,080 --> 00:39:33,160
Speaker 5: They're the ones who set those expectations. Interestingly enough, I think.

739
00:39:33,040 --> 00:39:35,200
Speaker 3: They're going to regret saying this is the Trump economy.

740
00:39:36,120 --> 00:39:38,880
Speaker 3: But at some point you just have to own it anyway.

741
00:39:39,719 --> 00:39:43,239
Speaker 3: So digging digging into the numbers a little, a little

742
00:39:43,280 --> 00:39:45,600
Speaker 3: bit more, there are some there are some other positive

743
00:39:45,640 --> 00:39:49,759
Speaker 3: developments of Dean Baker flagging a few here. One of

744
00:39:49,800 --> 00:39:53,640
Speaker 3: the best ones in here the number of people who

745
00:39:53,680 --> 00:39:59,520
Speaker 3: are part time involuntary. In other words, they want more

746
00:39:59,560 --> 00:40:02,680
Speaker 3: work and they can get fell by four hundred and fifty

747
00:40:02,719 --> 00:40:03,680
Speaker 3: thousand people.

748
00:40:03,800 --> 00:40:04,880
Speaker 4: That's great, that's great. Yea.

749
00:40:05,000 --> 00:40:07,439
Speaker 3: That means people who are part time have been able

750
00:40:07,480 --> 00:40:11,200
Speaker 3: to get more work, says The share of job quitters

751
00:40:11,760 --> 00:40:15,240
Speaker 3: among the unemployed rose to thirteen points percent. You want

752
00:40:15,880 --> 00:40:18,640
Speaker 3: you want the unemployed to be people who quit their

753
00:40:18,719 --> 00:40:21,680
Speaker 3: jobs rather than people who got fired, like as for

754
00:40:21,760 --> 00:40:25,160
Speaker 3: somebody who wants to support workers, like you want people

755
00:40:25,200 --> 00:40:27,520
Speaker 3: to feel the confidence in an economy to be able

756
00:40:27,560 --> 00:40:29,040
Speaker 3: to quit and then find a new job. So the

757
00:40:29,080 --> 00:40:32,120
Speaker 3: fact that it rose slightly to thirteen point seven percent,

758
00:40:32,280 --> 00:40:36,120
Speaker 3: it's not high. That means like eighty plus percent. You know,

759
00:40:36,239 --> 00:40:39,799
Speaker 3: we're forced into joblessness, but to see that number go

760
00:40:39,960 --> 00:40:45,200
Speaker 3: up is good. And people holding multiple jobs. That number

761
00:40:45,200 --> 00:40:46,799
Speaker 3: fell back a little bit. So all those are all

762
00:40:46,840 --> 00:40:51,240
Speaker 3: good things. The negative, I would say is that eighty

763
00:40:51,280 --> 00:40:55,239
Speaker 3: six thousand of the jobs, which is two thirds of

764
00:40:55,280 --> 00:40:58,080
Speaker 3: the gain, are and this is if the numbers are

765
00:40:58,080 --> 00:41:00,000
Speaker 3: accurate and we can get all these revisions down the road,

766
00:41:01,280 --> 00:41:06,759
Speaker 3: are in healthcare. And healthcare is a very interesting component

767
00:41:06,920 --> 00:41:12,160
Speaker 3: of GDP. So my wife when she was going through treatment,

768
00:41:12,440 --> 00:41:14,520
Speaker 3: like one of the chemo sessions was one hundred and

769
00:41:14,560 --> 00:41:18,080
Speaker 3: seventeen thousand dollars' that's what they build the insurance. I

770
00:41:18,080 --> 00:41:20,920
Speaker 3: don't want the insurance eventually one session paying one session.

771
00:41:21,040 --> 00:41:23,640
Speaker 3: That's the antibodies and chemotherapy one day.

772
00:41:24,680 --> 00:41:26,479
Speaker 4: That is a.

773
00:41:26,440 --> 00:41:31,600
Speaker 3: Sign of a completely shattered economy. But to the GDP,

774
00:41:32,640 --> 00:41:36,399
Speaker 3: if the insurance company paid that entire amount, GDP would

775
00:41:36,440 --> 00:41:38,800
Speaker 3: reflect a growth of one hundred and seventeen thousand dollars.

776
00:41:39,200 --> 00:41:42,560
Speaker 3: But it's like, wait a minute, really, I'm not so

777
00:41:42,600 --> 00:41:47,120
Speaker 3: sure about that. That like not so sure that that's

778
00:41:47,200 --> 00:41:49,520
Speaker 3: what we think of when we think of economic growth,

779
00:41:50,000 --> 00:41:53,359
Speaker 3: and so we are in aging society. We're also to

780
00:41:53,400 --> 00:41:56,640
Speaker 3: his point, you know, if we have deported several million people,

781
00:41:56,719 --> 00:42:00,640
Speaker 3: we're mostly deporting people under forty and under thirty. So

782
00:42:00,840 --> 00:42:04,480
Speaker 3: not only are we seeing declining birth rates and an

783
00:42:04,480 --> 00:42:09,160
Speaker 3: aging population, our immigration policy would also tilt our numbers older,

784
00:42:10,080 --> 00:42:12,040
Speaker 3: which is going to me and you know, more and

785
00:42:12,080 --> 00:42:13,920
Speaker 3: more spending on healthcare.

786
00:42:14,920 --> 00:42:19,879
Speaker 4: As we go month to month. And so my point is.

787
00:42:19,800 --> 00:42:23,120
Speaker 3: That that's not really people's idea of a growing economy

788
00:42:23,840 --> 00:42:26,520
Speaker 3: spending more money taking care of sicker older people.

789
00:42:27,680 --> 00:42:31,880
Speaker 4: But it's good that there are more jobs.

790
00:42:32,360 --> 00:42:36,600
Speaker 5: Yeah, obviously true, but Ryan, this also included the annual

791
00:42:37,120 --> 00:42:41,120
Speaker 5: revisions to the.

792
00:42:40,239 --> 00:42:43,560
Speaker 3: Other staff from Dean So and then over the last year,

793
00:42:43,680 --> 00:42:47,520
Speaker 3: healthcare accounted for one and twenty two percent of job growth.

794
00:42:48,160 --> 00:42:52,000
Speaker 3: So other than healthcare, that means where we have lost

795
00:42:52,120 --> 00:42:55,239
Speaker 3: jobs over the last year. So if you're out there

796
00:42:55,239 --> 00:42:56,680
Speaker 3: and you don't work in healthcare and you're like, wait

797
00:42:56,719 --> 00:42:58,640
Speaker 3: a minute, jobs are booming, I don't know.

798
00:42:58,800 --> 00:42:59,719
Speaker 4: That doesn't make sense to me.

799
00:43:00,160 --> 00:43:02,920
Speaker 3: So well, jobs are actually down over the last year

800
00:43:03,320 --> 00:43:04,560
Speaker 3: except for healthcare.

801
00:43:05,880 --> 00:43:06,120
Speaker 6: Yeah.

802
00:43:06,160 --> 00:43:08,360
Speaker 5: Well, and what the Trump administration is obviously trying to

803
00:43:08,360 --> 00:43:11,239
Speaker 5: do with tariff policies, and Howard Lutnick, Commerce Secretary, was

804
00:43:11,280 --> 00:43:14,400
Speaker 5: not just asked about yeah Epstein yesterday in front of

805
00:43:14,520 --> 00:43:17,320
Speaker 5: the Preparations Committee, it was also getting questions about the

806
00:43:17,320 --> 00:43:20,440
Speaker 5: administration's tariff policies, which came up for a vote in

807
00:43:20,520 --> 00:43:22,879
Speaker 5: the House at the end of the day. We put

808
00:43:22,920 --> 00:43:24,799
Speaker 5: C six up on the screen to skip ahead here

809
00:43:24,920 --> 00:43:29,239
Speaker 5: because Mike Johnson tried to wrangle Republicans to block an

810
00:43:29,280 --> 00:43:34,440
Speaker 5: effort that would allow for Congress to vote on.

811
00:43:34,360 --> 00:43:38,800
Speaker 6: The tariff policies. It failed, spoiler, it failed.

812
00:43:39,280 --> 00:43:41,200
Speaker 5: This is from earlier in the day quote Johnson says,

813
00:43:41,239 --> 00:43:43,280
Speaker 5: it's full steam ahead on tariff vote.

814
00:43:43,280 --> 00:43:43,440
Speaker 10: Ban.

815
00:43:43,600 --> 00:43:47,560
Speaker 5: Well, three Republicans ended up voting with Democrats the Senate.

816
00:43:47,680 --> 00:43:49,640
Speaker 5: I think it's been four Republicans in the Senate who

817
00:43:49,640 --> 00:43:52,640
Speaker 5: have voted against the Trump administration's tariff policies. Now, this

818
00:43:52,680 --> 00:43:56,880
Speaker 5: is not veto proof majority space, so there's no legislative,

819
00:43:56,920 --> 00:44:02,760
Speaker 5: serious legislative will to overturn the Trump tariffs. But let's

820
00:44:02,760 --> 00:44:06,200
Speaker 5: listen to Howard Lutnik answering questions. Just yesterday in front

821
00:44:06,239 --> 00:44:09,040
Speaker 5: of the Appropriations Committee.

822
00:44:08,600 --> 00:44:12,200
Speaker 8: C five, President Trump ran on lowering folks costs, and

823
00:44:12,239 --> 00:44:14,759
Speaker 8: the cost of housing is not going down. We need

824
00:44:14,800 --> 00:44:18,759
Speaker 8: to build millions more homes, and the home building boom

825
00:44:18,840 --> 00:44:21,600
Speaker 8: we need is in part not happening because of tariffs

826
00:44:21,920 --> 00:44:26,160
Speaker 8: on lumber. Drywall, kitchen cabinets, bathroom vanities. I think the

827
00:44:26,160 --> 00:44:28,799
Speaker 8: homebuilders estimate they're raising the cost of a new home

828
00:44:28,840 --> 00:44:34,080
Speaker 8: by more than seventeen thousand dollars. Would you support legislation

829
00:44:34,400 --> 00:44:39,160
Speaker 8: to temporarily halt or provide for a tariff exemption process

830
00:44:39,480 --> 00:44:41,920
Speaker 8: for specific tariffs on home building supplies.

831
00:44:45,080 --> 00:44:48,399
Speaker 11: It's a broad, complex issue. If we want to make

832
00:44:48,480 --> 00:44:52,840
Speaker 11: furniture in America, you have to protect furniture makers. That

833
00:44:53,520 --> 00:44:57,000
Speaker 11: type of question is a very detailed and complex one

834
00:44:57,160 --> 00:44:59,440
Speaker 11: and worthy of discussion, and I'm glad to sit with

835
00:44:59,480 --> 00:45:01,920
Speaker 11: you in your to talk about it. What do we

836
00:45:01,960 --> 00:45:04,759
Speaker 11: want to make in America and whatever we don't want

837
00:45:04,800 --> 00:45:07,280
Speaker 11: to make in America we should try to do inexpensively

838
00:45:07,560 --> 00:45:08,520
Speaker 11: to the extent we can.

839
00:45:09,239 --> 00:45:11,680
Speaker 8: Well, thank you, I look forward to the conversation. My

840
00:45:12,000 --> 00:45:16,040
Speaker 8: concern is that overwhelmingly the supply of things like softwood

841
00:45:16,080 --> 00:45:19,360
Speaker 8: lumber from Canada and a wall board or gypsy board

842
00:45:19,480 --> 00:45:24,040
Speaker 8: from Mexico are being constrained by tariffs. These are close

843
00:45:24,080 --> 00:45:28,280
Speaker 8: allies that work with us through the USMCA framework. They've

844
00:45:28,320 --> 00:45:31,000
Speaker 8: pushed back hard on the tariffs that are being imposed

845
00:45:31,040 --> 00:45:34,120
Speaker 8: on their products that are exported into our market. Canada's

846
00:45:34,160 --> 00:45:37,719
Speaker 8: the largest export market from most American states. I think

847
00:45:37,760 --> 00:45:40,320
Speaker 8: at a time when there's very little we can actually

848
00:45:40,360 --> 00:45:43,160
Speaker 8: do in the short term to reduce the cost of housing,

849
00:45:43,400 --> 00:45:45,200
Speaker 8: this is something we might work together on.

850
00:45:45,800 --> 00:45:48,200
Speaker 5: This is actually pretty interesting exchange because obviously the Trump

851
00:45:48,200 --> 00:45:51,880
Speaker 5: administration's answer to that is they want to initiate a

852
00:45:51,920 --> 00:45:54,520
Speaker 5: transition period that might be painful.

853
00:45:55,480 --> 00:45:59,520
Speaker 3: But to what, We're going to grow more trees, Like

854
00:46:00,239 --> 00:46:04,080
Speaker 3: I this is the the like brain dead part of

855
00:46:04,120 --> 00:46:07,560
Speaker 3: it that kills me. It's like like tiffing maple syrup,

856
00:46:07,640 --> 00:46:09,080
Speaker 3: Like what are we going to Like We're gonna have

857
00:46:09,120 --> 00:46:13,560
Speaker 3: George just grow a bunch of like maple trees and

858
00:46:13,680 --> 00:46:16,480
Speaker 3: start making maple syrup like Verman's doing what it can

859
00:46:16,800 --> 00:46:20,000
Speaker 3: otherwise we're getting it from Canada. Same is true with lumber,

860
00:46:20,520 --> 00:46:23,800
Speaker 3: Like you want to just go through like the Rockies

861
00:46:23,840 --> 00:46:27,960
Speaker 3: and just chop down all the trees like and like

862
00:46:27,960 --> 00:46:34,160
Speaker 3: like what's the like domestic wood alternative that he's trying

863
00:46:34,200 --> 00:46:35,040
Speaker 3: to incubate here?

864
00:46:35,239 --> 00:46:37,680
Speaker 5: What are they doing to to the other part of

865
00:46:37,719 --> 00:46:42,000
Speaker 5: that is what are they doing to potentially nurture the

866
00:46:42,080 --> 00:46:47,680
Speaker 5: domestic production of industry X, Y and Z, And is

867
00:46:47,719 --> 00:46:48,719
Speaker 5: the method right?

868
00:46:48,719 --> 00:46:51,160
Speaker 3: And if it's raw materials like wood, it's like do

869
00:46:51,200 --> 00:46:52,360
Speaker 3: you either have it or we don't?

870
00:46:52,760 --> 00:46:53,839
Speaker 6: And and if it's the.

871
00:46:53,880 --> 00:46:56,400
Speaker 4: Rock grown bananas and like Seattle.

872
00:46:56,120 --> 00:46:58,160
Speaker 5: Well and if we need it too, like and this

873
00:46:58,200 --> 00:47:00,719
Speaker 5: is why, Yeah, like they eased what do they use tariffs?

874
00:47:01,440 --> 00:47:05,120
Speaker 3: Yes, because it's like we have wayan coffee. Like that's it,

875
00:47:05,239 --> 00:47:08,080
Speaker 3: Like we're not Yeah, Soccer said, there's like one guy

876
00:47:08,120 --> 00:47:11,400
Speaker 3: in California who tried to go California grow coffee in

877
00:47:11,440 --> 00:47:12,840
Speaker 3: California was terrible.

878
00:47:13,000 --> 00:47:13,719
Speaker 6: Doesn't sound good.

879
00:47:13,800 --> 00:47:15,480
Speaker 3: So it's like, what do you like stop Like we're

880
00:47:15,480 --> 00:47:19,920
Speaker 3: not going to have a like continental US coffee industry.

881
00:47:20,120 --> 00:47:20,960
Speaker 4: It's not going to happen.

882
00:47:21,400 --> 00:47:24,520
Speaker 5: There's another broad economic indicator to bring in here, Holiday

883
00:47:24,520 --> 00:47:25,400
Speaker 5: retail sales.

884
00:47:25,760 --> 00:47:28,000
Speaker 6: This is C four, which should put this up on

885
00:47:28,120 --> 00:47:28,760
Speaker 6: the screen.

886
00:47:29,680 --> 00:47:35,240
Speaker 5: Actually kind of interesting holiday retail sales according to Lisa A. Brahma,

887
00:47:35,320 --> 00:47:41,040
Speaker 5: which was were the highest consumer delinquencies since twenty seventeen.

888
00:47:41,239 --> 00:47:43,479
Speaker 5: Those paints, she says, a bleak picture for lower income

889
00:47:43,520 --> 00:47:46,759
Speaker 5: and younger Americans. So you have disappointing holiday retail shit

890
00:47:46,880 --> 00:47:51,840
Speaker 5: sales and then highest consumer delinquencies since twenty seventeen, according

891
00:47:52,320 --> 00:47:56,760
Speaker 5: to Commerce Apartment numbers that just came out, So again

892
00:47:57,120 --> 00:48:00,000
Speaker 5: piece of the puzzle about where the economy really is

893
00:48:00,719 --> 00:48:04,440
Speaker 5: the Trump world spin. This is from EJ and Tony,

894
00:48:04,560 --> 00:48:08,839
Speaker 5: who was the Heritage guy plucked to run BLS and

895
00:48:08,880 --> 00:48:11,960
Speaker 5: then was kind of kicked out of the administration. He says,

896
00:48:11,960 --> 00:48:14,440
Speaker 5: the real story of today's jobs reports quote Trump was

897
00:48:14,480 --> 00:48:16,640
Speaker 5: handed in economy that was losing private sector jobs and

898
00:48:16,640 --> 00:48:19,319
Speaker 5: adding government payrolls. But he successfully flipped the script and

899
00:48:19,360 --> 00:48:22,760
Speaker 5: one year later it's all private sector growth, well cutting

900
00:48:22,880 --> 00:48:26,520
Speaker 5: government jobs. But Ryan, where they want private sector growth

901
00:48:26,960 --> 00:48:29,839
Speaker 5: is the key question, and that's the question that comes

902
00:48:29,880 --> 00:48:33,320
Speaker 5: to the table when Lutnik is talking to Chris Koons,

903
00:48:33,360 --> 00:48:35,800
Speaker 5: because do they want private sector growth all in healthcare?

904
00:48:35,920 --> 00:48:37,480
Speaker 6: Or do they want it in manufacturing?

905
00:48:37,840 --> 00:48:41,280
Speaker 5: Do they want it in particular industries that they're trying

906
00:48:41,320 --> 00:48:44,120
Speaker 5: to revitalize And what's their timetable for that right?

907
00:48:44,160 --> 00:48:45,759
Speaker 3: And if you want to do that, why are you

908
00:48:45,880 --> 00:48:48,520
Speaker 3: making the cost of their inputs go up?

909
00:48:49,200 --> 00:48:50,200
Speaker 5: Yeah?

910
00:48:50,360 --> 00:48:53,840
Speaker 3: Like I'm not against helping American manufacturers. I think it'd

911
00:48:54,040 --> 00:48:57,719
Speaker 3: be great. They're hurting them, Like what do you do?

912
00:48:57,960 --> 00:49:02,960
Speaker 6: Like, we'll say that's their I mean meatheads.

913
00:49:03,680 --> 00:49:07,200
Speaker 5: The process disentangling the process too from the end goal,

914
00:49:08,600 --> 00:49:11,880
Speaker 5: which actually I think almost all of us, Ryan, you,

915
00:49:12,480 --> 00:49:16,000
Speaker 5: Crystal Sager, and I are all fairly protectionist on an

916
00:49:16,160 --> 00:49:21,160
Speaker 5: ideological level. But so the end goal being separated from

917
00:49:21,160 --> 00:49:24,720
Speaker 5: the process is important. In Trump's process has been wacky,

918
00:49:24,960 --> 00:49:28,200
Speaker 5: to say the very least, to say the very least,

919
00:49:28,480 --> 00:49:30,160
Speaker 5: so interesting numbers today interesting.

920
00:49:30,400 --> 00:49:31,080
Speaker 4: Oh what I was saying.

921
00:49:31,080 --> 00:49:33,719
Speaker 3: The reason Trump could be upset by this is that

922
00:49:34,160 --> 00:49:35,600
Speaker 3: you're already seeing interest.

923
00:49:35,360 --> 00:49:36,560
Speaker 4: Rates go up a little bit.

924
00:49:36,680 --> 00:49:37,759
Speaker 6: This is a good point.

925
00:49:37,520 --> 00:49:42,279
Speaker 4: Because the FED wants to the FED is let. The

926
00:49:42,320 --> 00:49:44,920
Speaker 4: FED is expected by the markets to be less likely

927
00:49:45,000 --> 00:49:46,320
Speaker 4: to reduce interest rates.

928
00:49:46,960 --> 00:49:49,319
Speaker 3: You're already seeing ten year notes are up, thirty years

929
00:49:49,360 --> 00:49:52,320
Speaker 3: up a little bit because they're saying, all the economy

930
00:49:52,360 --> 00:49:54,960
Speaker 3: is actually pretty good, so we don't want to cut

931
00:49:55,120 --> 00:49:58,160
Speaker 3: interest rates because the economy is good. And Trump's like,

932
00:49:58,200 --> 00:50:01,799
Speaker 3: this is the greatest economy ever. You should well, those

933
00:50:01,800 --> 00:50:06,319
Speaker 3: things are in conflict with dogmatic nor conventional understanding of

934
00:50:06,360 --> 00:50:08,160
Speaker 3: how the economy is supposed to operate.

935
00:50:08,280 --> 00:50:10,640
Speaker 5: Yeah, and just final point on all of this is

936
00:50:10,760 --> 00:50:12,800
Speaker 5: you mentioned at the top of the show the Dario

937
00:50:14,760 --> 00:50:19,160
Speaker 5: the Daria mode essay that was super viral, twenty thousand

938
00:50:19,160 --> 00:50:22,680
Speaker 5: word essay and There's another one that's going superviral right

939
00:50:22,719 --> 00:50:26,000
Speaker 5: now from a guy in AI called Matt Schumer. He

940
00:50:26,120 --> 00:50:28,439
Speaker 5: just titled it something Big is happening. It's like it's

941
00:50:28,480 --> 00:50:31,279
Speaker 5: linked everywhere. And Andrew Yang has a new post on

942
00:50:31,280 --> 00:50:34,520
Speaker 5: his subset called the AI Meltdown. So this is the

943
00:50:34,520 --> 00:50:37,239
Speaker 5: Trump administration that has been paddled to the metal on

944
00:50:37,480 --> 00:50:41,359
Speaker 5: the AI boom and is now in the middle of

945
00:50:41,640 --> 00:50:46,919
Speaker 5: a generational, by its own description, historic trade war. All

946
00:50:46,960 --> 00:50:51,280
Speaker 5: of that is happening against the backdrop of a labor

947
00:50:51,320 --> 00:50:56,239
Speaker 5: revolution that is accelerating literally by the day, and is

948
00:50:56,320 --> 00:50:59,480
Speaker 5: going to accelerate to proportions. I don't think anybody fully

949
00:50:59,520 --> 00:51:02,120
Speaker 5: yet under stands through the rest of the Trump administration.

950
00:51:02,360 --> 00:51:04,800
Speaker 5: And so you have the trade war and the AI

951
00:51:04,920 --> 00:51:08,319
Speaker 5: revolution happening at the same time that I don't think

952
00:51:08,360 --> 00:51:11,520
Speaker 5: anybody is prepared for for, let alone this administration, and

953
00:51:11,560 --> 00:51:14,440
Speaker 5: it's happening in the backdrop right now. Moving very quickly

954
00:51:14,520 --> 00:51:18,560
Speaker 5: to the foreground, people are about to graduate from annual

955
00:51:18,600 --> 00:51:21,719
Speaker 5: college graduations coming up in a few months, likely to

956
00:51:21,760 --> 00:51:25,560
Speaker 5: see historic levels of unemployment among recent college graduates who

957
00:51:25,600 --> 00:51:26,319
Speaker 5: are already seeing that