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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: not exist anywhere else.

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

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

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

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

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Speaker 1: dot com. Good morning, everybody, Happy Thursday. We have an

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Speaker 1: amazing show for everybody to day.

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Speaker 2: What do we have, Crystal, indeed we do so. As

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Speaker 2: you probably know by now, the CEO of United Healthcare

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Speaker 2: was murdered in midtown Manhattan. That manhunt continues, as does,

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Speaker 2: of course, the online reaction, So we will get into

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Speaker 2: all of that. Trump packing his cabinet with billionaires. We

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Speaker 2: have new details about what that administration may look like

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Speaker 2: and what they are planning. Ram Emmanuel is being rehabbed

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Speaker 2: over on the Democratic side, planning what his future in

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Speaker 2: the democratic part. He may be making some pretty wild

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Speaker 2: comments given his own past history, so we'll take into

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Speaker 2: all of that. Also at morning, Joe once again in

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Speaker 2: meltdown mode after apparently David Frum now too spicy for them.

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Speaker 2: They had to like apologize after some of his comments.

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Speaker 1: This is the Iran Iraq war here.

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Speaker 2: Morning Joe Scarborough just this morning had some whole like

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Speaker 2: ran meltdown whatever. So we're going to bring you that.

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Speaker 2: I think you guys are going to enjoy and appreciate that. Also,

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Speaker 2: some news from overseas. Manuel Macroln's government has now collapsed,

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Speaker 2: is somewhat predicted, but leaves the French government a lot

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Speaker 2: of uncertainty and chaos, So we'll tell you all of

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Speaker 2: the details there. And Biden is considering pardnering a salw

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Speaker 2: of officials and Democratic politicians and Liz Cheney and all

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Speaker 2: kinds of people who could be targets of Trump's retribution.

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Speaker 2: And the view was reacting and arguing with Charlemagne about

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Speaker 2: many of these things.

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Speaker 1: Yes, that's right, that'll be fun. Doctor Fauci apparently needs

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Speaker 1: a pardon. Interesting Carl toldly he's never did anything wrong anyways.

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Speaker 1: a couple of long form interviews this week which were awesome,

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Speaker 2: Yeah, and thank you guys for the questions you sent

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Speaker 2: in for John Favreau. They were really helpful and you

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Speaker 2: guys had some really great questions, so it was very

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Speaker 2: much appreciated. Yeah. I thought that was a very interesting interview,

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Speaker 2: so I hope you guys enjoyed it.

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Speaker 2: And apparently people freaking loved the Dave Smith versus Vosh debate.

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Speaker 1: Our most shared episode of the year on Korean right

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Speaker 1: on You Cream Shocking. I honestly never would have predicted it.

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Speaker 1: You can't actually see. There's not a lot of good

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Speaker 1: metrics for podcasts, so Spotify Rapped is like the one

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Speaker 1: time that we actually get some deep insight into what

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Speaker 1: people do. Also, thank you to the one one hundred

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Speaker 1: and twenty two countries that Breaking Points was downloaded in

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Speaker 1: last year. I couldn't even name one hundred and twenty

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Speaker 1: two countries, So that you, We love you. All right,

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Speaker 1: Let's get to the United Healthcare CEO murder. This is

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Speaker 1: some shocking stuff. So we have some surveillance video that

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Speaker 1: has emerged of the killing itself. We've gone ahead and

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Speaker 1: edited it so you can't actually see it. But let's

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Speaker 1: go ahead and put this and play this for everybody

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Speaker 1: up on the screen so you can walk here. The

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Speaker 1: United CEO is walking there. He brought six forty five

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Speaker 1: am outside of a midtown hotel in Manhattan. You could

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Speaker 1: see the gunman there. He raised his gun and he

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Speaker 1: shot several times into the CEO. He went forward, walked

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Speaker 1: towards him, apparently basically make sure that the man was dead,

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Speaker 1: and then begins to flee across the street, where he

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Speaker 1: got onto a city bike and went uptown to this

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Speaker 1: day now, some twenty four hours later, he is not

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Speaker 1: currently in police custody. Although we have some of the details.

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Speaker 1: The NYPD itself broke down some of the details of

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Speaker 1: the crime. Let's get to it.

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Speaker 3: The suspect approached from behind fired several rounds, striking the

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Speaker 3: victim at least once in the back and at least

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Speaker 3: once in the right calf. Many people passed the suspect,

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Speaker 3: but he appeared to wait for his intended target. The

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Speaker 3: suspect fled first on foot, then on an e bike,

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Speaker 3: and was last seen in Central Park on Center Drive.

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Speaker 3: Early this morning, the victim was removed to Roosevelt's Hospital,

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Speaker 3: where he was pronounced. We've been in touch with his family,

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Speaker 3: his friends, and his colleagues, and they are very much

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Speaker 3: in our thoughts and prayers at this hour. The full

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Speaker 3: investigative efforts of the New York City Police Department are

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Speaker 3: well underway, and we will not rest until we identify

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Speaker 3: and apprehend the shooter in this case. The women and

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Speaker 3: men of the NYPD take enormous pride in the work

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Speaker 3: that they do each day and each night to drive

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Speaker 3: down crime and violence in our city. Right now, we

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Speaker 3: are asking the public for your help. Have any information

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Speaker 3: about this case, call crime Stoppers at eight hundred five

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Speaker 3: seven seven tips. We have increased the reward in this

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Speaker 3: case to ten thousand dollars. I want to be clear

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Speaker 3: at this time, every indication is that this was a premeditated,

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Speaker 3: pre planned, targeted attack.

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Speaker 1: That is really what all the details began to describe.

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Speaker 1: We've seen ballistic experts and other people who have come

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Speaker 1: out just to look at all the circumstances, and they

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Speaker 1: are genuinely shocking. I mean, this is one of the

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Speaker 1: busiest areas in all of Midtown Manhattan, six forty five am,

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Speaker 1: full on like pre work traffic and all of that.

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Speaker 1: It appears that he had either a suppressor or some

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Speaker 1: sort of pistol which was using subsonic ammunition to try

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Speaker 1: and to keep the sound as quiet as possible. From

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Speaker 1: ballistics experts in others that I have read, they just

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Speaker 1: show a couple of things that you can see in

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Speaker 1: the details of the crime. Number one, the photo that's

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Speaker 1: been released of the man so far shows him wearing

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Speaker 1: a face and a hood pulled up all over. It

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Speaker 1: appears he had a change of clothes in the backpack,

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Speaker 1: was able to immediately flee get onto a bike. Apparently

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Speaker 1: was waiting outside of the hotel some full five minutes

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Speaker 1: before he emerged. This United Healthcare CEO knew he was

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Speaker 1: staying there. He cased it out, was very he was

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Speaker 1: clearly very planned assassination. And that's what a lot of

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Speaker 1: the details around this and professionals as well. So just

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Speaker 1: before we get a reaction, this is the Felipe Rodriguez,

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Speaker 1: former NYPD detective, just talking about this thing. It's one

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Speaker 1: of the most detailed assassinations that he's ever seen. Let's

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Speaker 1: take a listen.

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Speaker 3: Is it possible that police may have to close the

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Speaker 3: bridges or how are they surveiling those areas at.

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Speaker 4: This point you know what's going to end up the

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Speaker 4: CCTV footage. But I'm telling you the way he planned

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Speaker 4: this out, I can see him having a change of clothes,

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Speaker 4: everything hidden somewhere in Central Park because he's aware of

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Speaker 4: the canvast. That's why, you know what he did have

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Speaker 4: that mask on. That's why he's trying to, you know,

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Speaker 4: hide his identity, trying to make sure that we don't

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Speaker 4: have any facial recognition in place. So once again, this

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Speaker 4: is one of the most detailed assassinate, you know, assassinations

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Speaker 4: I've ever seen.

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Speaker 1: Yeah, I mean, it's truly shocking. Take place downtown in

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Speaker 1: the middle of New York City. It appears the wife

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Speaker 1: says that mister Thompson had been receiving threats. Can we

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Speaker 1: put that tear sheet please up on the screen over

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Speaker 1: quote insurance woes in the details that she said, she

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Speaker 1: said something about denied coverage in terms of threats that

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Speaker 1: he had been receiving. And we also have some stuff

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Speaker 1: that broke just very late last night. NYPD detectives have

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Speaker 1: discovered the words quote, deny, defend, and depose, which were

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Speaker 1: written on shellcasings that were found at the scene. Deny, defend,

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Speaker 1: and depose is the title of a book which is

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Speaker 1: specifically about how insurance companies deny coverage to patients. So

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Speaker 1: it does appear to be an act of retribute or

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Speaker 1: appears to be some sort of act of retribution against

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Speaker 1: the United Healthcare CEO. The book itself here, I can

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Speaker 1: pull up the cover in front of me. Is delay, defend, delay, denied, defend,

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Speaker 1: Why insurance companies don't pay claims and what you can

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Speaker 1: do about it? Apparently it's a well known kind of

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Speaker 1: Moniker and a playbook that people have always talked about

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Speaker 1: these insurance companies. So does appear to be an active

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Speaker 1: revenge Crystal. And obviously that alludes also to kind of

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Speaker 1: the reaction around this, which has certainly run the gamut.

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Speaker 1: I guess we could say that.

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Speaker 2: I don't think it has run the gamut. I think

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Speaker 2: by and large, listen, let's let's all be adults here.

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Speaker 2: Nobody here condones murder and broad daylight, targeted assassinations, etc.

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Speaker 1: It's insane.

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Speaker 2: Yeah, yes, of course. But we also have at this

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Speaker 2: show made it clear when a powerful person who did

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Speaker 2: great evil in the world, we don't mince words when

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Speaker 2: that person dies, is killed, et cetera. And this is

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Speaker 2: a person who caused great harm, death, bankruptcy, debt, and

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Speaker 2: injury to probably millions of Americans. And so you know,

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Speaker 2: there was a lot of like, oh, the left is

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Speaker 2: like celebrating this viciously. Let me tell you it wasn't

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Speaker 2: just the left. We're going to show you later on.

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Speaker 2: If you go on Facebook, Facebook not exactly like the

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Speaker 2: bastion of the socialist revolution, and you look at the

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Speaker 2: reaction there, if you look at the reactions on TikTok,

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Speaker 2: I mean, it was across the board, and so I

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Speaker 2: think people should think like political class, executive class, billionaire class,

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Speaker 2: need to think really deeply about how people feel about

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Speaker 2: this disgusting, evil system that this person was a part of.

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Speaker 2: So we can put you know, up on the screen.

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Speaker 2: You talk about the motive. Obviously yesterday it was day

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Speaker 2: it was all speculation because obviously there would be many

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Speaker 2: people who would have a motive to do harm to

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Speaker 2: this individual. And quite frankly, you know again and this

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Speaker 2: is us being adults, he or not condoning, But it's

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Speaker 2: shocking that something like this hasn't happened before given the

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Speaker 2: amount of pain, death and suffering that this industry overall causes.

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Speaker 2: And this was a very you know, powerful person in

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Speaker 2: terms of that industry. You know, we've got we can

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Speaker 2: put a five up on the screen. In terms of

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Speaker 2: claim denial rates, United Healthcare was apparently the worst thirty

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Speaker 2: two percent of claims denied by this company. We also

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Speaker 2: know that you know, they are being sued right now

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Speaker 2: because they've been using this AI that, reportedly, according to

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Speaker 2: the lawsuit rejects has some ninety percent error rate to

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Speaker 2: reject people's claims. And you know, I mean, you're hard

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Speaker 2: pressed to find an American family that hasn't been negatively

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Speaker 2: impacted by this disgusting, horrible system. So, you know, if

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Speaker 2: people are shocked by the reaction that has sort of

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Speaker 2: flow down of the entire nation in response to this killing,

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Speaker 2: I don't think that you should be shocked, because most

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Speaker 2: people have some sort of story. I mean, in my

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Speaker 2: own family, like Kyle's dad very possibly would still be

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Speaker 2: alive and have been at our wedding if it wasn't

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Speaker 2: for o fucked up health insurance system. So you know,

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Speaker 2: there's a lot of anger and horror at what this

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Speaker 2: looks like in this country.

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Speaker 1: Yeah, the denied defend deposed gets to some patients in

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Speaker 1: terms of denial of coverage in the way that the

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Speaker 1: insurance companies are able to work that system. Yeah, I mean,

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Speaker 1: as you just said, let's all be real and adults

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Speaker 1: like murdering people in vigilante or not even vigilanti, just

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Speaker 1: like murdering people in cold blood in the middle of

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Speaker 1: New York City is bad. And ironically what we have

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Speaker 1: seen though, is honest, I'm even surprised by it, and

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Speaker 1: I've seen a lot of social analysts and others who

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Speaker 1: have reacted to the killing itself in terms of the

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Speaker 1: outcry from a lot of the public where there is

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Speaker 1: some deep seated rage here, and we can talk about

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Speaker 1: that just analytically in terms of, Look, we just had

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Speaker 1: an election, right, Donald Trump won the White House. People

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Speaker 1: are very a lot of rage there too the system. Yeah,

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Speaker 1: and I was thinking, I was actually thinking back to it.

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Speaker 1: Alex Berenson made the analysis. He's like, I don't think

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Speaker 1: anything like this has happened in the post World War

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Speaker 1: two era. I think he's right in terms of a

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Speaker 1: major targeted assassination of a CEO. But this really harkens

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Speaker 1: back to some of the violence and anarchist violence in

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Speaker 1: the period of like nineteen hundred Gilded in nineteen thirty seven. Yeah,

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Speaker 1: it's like post guild more like the latter age of

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Speaker 1: the Gilded Age, a lot of the violence around labor

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Speaker 1: and the you know, the relationship between the major company

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Speaker 1: and the citizen. But also just like literal anarchists and others,

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Speaker 1: theory of like we have to strike back through genuine

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Speaker 1: violence against people who are like this. You know, we

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Speaker 1: saw some of that. Actually, like you said on the

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Speaker 1: comments reacting to this, we can go ahead and put

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Speaker 1: nien please on the screen, and this was put out

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Speaker 1: in For example, some of the top comments people are like,

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Speaker 1: I'm sorry. Prior to authorization is required for thoughts and prayers,

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Speaker 1: sending prior authorization denied claims, collections and prayers to the family.

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Speaker 1: Was his trip to the er really emergent? And it's

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Speaker 1: crazy what my first thought was, and that I look

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Speaker 1: at the comments and realize that I am not alone

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Speaker 1: in my thoughts. So clearly there's a lot of people

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Speaker 1: who are out there who are very, very upset with

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Speaker 1: the healthcare system, you know. Even bringing it back to

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Speaker 1: just the crime, I saw some analysis where they're like,

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Speaker 1: this is an insane crime because there are twenty million

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Speaker 1: people who could be potential suspects in carrying this out.

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Speaker 1: And if you look at some of the if you

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Speaker 1: look at currently, the fact is is that when you

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Speaker 1: murder someone in New York City, actually pretty much you

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Speaker 1: can murder someone anywhere. It's not all that difficult to

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Speaker 1: narrow down the range of suspects, and especially New York

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Speaker 1: is one of the most surveiled countries in the world.

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Speaker 1: I mean in terms of not only police officers, this

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Speaker 1: is Midtown Manhattan, anybody'sho've been there. There are police everywhere

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Speaker 1: across Midtown Manhattan. You also have you also have cameras

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Speaker 1: blanketing the entire place. That surveillance footage is just like

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Speaker 1: private one in terms of what the NYPD has access

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Speaker 1: to and the NYPD counter Terrorism Bureau and all of that.

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Speaker 1: That entire city is like basically wired with cameras. So

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Speaker 1: the fact is is, while they have released a photo

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Speaker 1: of the suspect, they are probably able to track some

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Speaker 1: of his movements and others. For now, he has not

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Speaker 1: been apprehended, well not bypass, which is shocking.

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Speaker 2: They don't even have a person of interests.

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Speaker 1: They don't have a name a person of interest that

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Speaker 1: they have.

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Speaker 2: Nothing photos they put out. I mean you can't see anything.

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Speaker 1: You basically can see it. I think you can see

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Speaker 1: his eye color, yeah, and his nose, like that's that's

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Speaker 1: about it. It's like, I mean, he's a white male.

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Speaker 1: That's basically all you know. But that's all we know.

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Speaker 1: It's really crazy. There was a actually analyst who was

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Speaker 1: able to determine that which city bike was actually taken.

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Speaker 1: Can we put a six please on the screen. This

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Speaker 1: isn't uh, this looks like there was an analysis and

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Speaker 1: it says I am fairly confident here that United Healthcare

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Speaker 1: assassin was escaped on an electric city bike. It remains

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Speaker 1: unclear right now because NYPD told Lyft, which operates City Bike,

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Speaker 1: that their bikes don't appear to have been used in

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Speaker 1: the shooting. So it's a little bit up in the

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Speaker 1: air right now as to how exactly he was able

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Speaker 1: to get away, because there was some at least initially

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Speaker 1: there appeared like he was using some sort of electric

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Speaker 1: bicycle to get away from the scene. But it's a

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Speaker 1: little bit confusing in terms of whether this was correct

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Speaker 1: or well.

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Speaker 2: It's also like, I mean, if you're planning to do

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Speaker 2: a targeted assassination, you probably have your bike already out

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Speaker 2: of the dock, you know it run from another part

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Speaker 2: of the city or whatever. So I don't know, I

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Speaker 2: don't know if this is really relevant or not, but

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Speaker 2: it does illustrate the point that you were saying, Zager,

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Speaker 2: that like there's cameras on every corner, there's place everywhere,

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Speaker 2: especially in midtown minute Like just as you guys understand

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Speaker 2: if you aren't you know New York City people, like

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Speaker 2: this is very close to Times Square, It is the

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Speaker 2: tour's hub. Like I'm sure many people have stayed in

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Speaker 2: that Hilton that I mean, I know it very well.

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Speaker 2: I used to live very close to there. That is

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Speaker 2: really well known and completely centrally located, and there's all

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Speaker 2: kinds of police and surveillance and whatever around, And so

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Speaker 2: for him to have been able to do this, you know, yea,

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Speaker 2: I was kind of early in the morning, but in

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Speaker 2: basically broad daylight, and have the skill and the wherewithal

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Speaker 2: to get away, and still the police appear to have

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Speaker 2: very little to go on is quite quite astonishing. To

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Speaker 2: get back to some of the conversation about the reaction

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Speaker 2: you had, that TikTok reaction, I honestly was probably most

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Speaker 2: shocked by if we put a twelve up on the screen.

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Speaker 2: And of course Kenklippenstein going hard in the paints during

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Speaker 2: the pod, as he often does, but he he tweeted out,

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Speaker 2: people loathe our healthcare system. The pearl clutches should ask

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Speaker 2: themselves why what you're looking at? Here is the post

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Speaker 2: from United Health Group, the company that he was the

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Speaker 2: CEO of, on Facebook. Again, not an exactly bastion of

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Speaker 2: the socialist revolution. It's a lot of like Maga Grandmas

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Speaker 2: on Facebook frankly, and this was early on, the bulk

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Speaker 2: of the reaction was the laughing emoji, and it had

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Speaker 2: fifty five hundred people who had done that. The last

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Speaker 2: I saw it, just from like eight hours ago, it

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Speaker 2: was like eighteen thousand people who had posted the laughing emoji. So,

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Speaker 2: you know, I know, there's like a lot of especially

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Speaker 2: mainstream liberal journalists and politicians. I saw Dean Phillips, I

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Speaker 2: saw Richard trre As, I saw some others who were

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Speaker 2: kind of like, you know, tut tutting this reaction, and okay,

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Speaker 2: fair enough, but you all are the people in a

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Speaker 2: position of power to change this truly vile, destructive, damaging,

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Speaker 2: deadly system, And like, what have you done other than

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Speaker 2: many of you being complicit in blocking and quashing the

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Speaker 2: movement that was, you know, pushing to totally overturn the

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Speaker 2: system and make sure everybody has health care access like

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Speaker 2: every other developed nation in the entire world. I was

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Speaker 2: just looking up the stats just to check my memory.

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Speaker 2: Forty percent of all bankruptcies are because of medical debt.

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Speaker 2: Forty percent. You know what bankruptcy does? I mean that

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Speaker 2: is so devastating, Like putting the denial of care and

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Speaker 2: the sickness and the avoidable death to the side. Just

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Speaker 2: that kind of crushing debt destroys people's lives, pushes them

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Speaker 2: to suicide. So you know, this is this is a

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Speaker 2: horrible evil set and there's something too about there is

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Speaker 2: something about like the sort of banality of evil or

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Speaker 2: the fact that this is a system that we've sort

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Speaker 2: of accepted and the harm of it is kind of

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Speaker 2: depersonalized that makes you know, politicians feel like, oh, this

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Speaker 2: is you know, it's unacceptable to pin that blame on

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Speaker 2: this one person. But you know, again, this is someone

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Speaker 2: who was a powerful individual in an industry that has

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Speaker 2: caused unbelievable damage to American lives, health, well being, etc.

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Speaker 2: And so Democrats have effectively you know, I'm remember in

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Speaker 2: twenty sixteen, Trump ranal, I'm gonna give everybody healthcare, and

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Speaker 2: then he tries to repeal the Affordable Care Act. That

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Speaker 2: doesn't work. He has his own health care plans, like

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Speaker 2: a ten percent approve rating or whatever. He just gives up.

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Speaker 2: Publicans gave up completely on healthcare. Now they're trying to like,

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Speaker 2: you know, pretend like they care about legalizing raw milk

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Speaker 2: or you know, getting the toxins ount of the food products,

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Speaker 2: which seems unlikely that they're going to accomplish that. But

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Speaker 2: they don't really have anything to say about healthcare. The

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Speaker 2: Democrats have collapsed from They don't even talk about like

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Speaker 2: a public option anymore. I mean, Joe Biden ran on

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Speaker 2: a public option and as soon as the primary was over,

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Speaker 2: that gets dropped. He doesn't talk about it at all anymore,

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Speaker 2: never gets brought up during his tenure. And I think

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Speaker 2: partly because of this whole like popular theory, they're like, well,

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Speaker 2: if we lower the prescription drug prices on a few

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Speaker 2: drugs for seniors only too, by the way, you can

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Speaker 2: just run on that and that'll be enough. And I

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Speaker 2: think very clearly from this reaction that is not enough.

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Speaker 2: And so you know, not to turn everything into a

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Speaker 2: freaking political point, but there is a political point to

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Speaker 2: be made here, which is Democrats look at this energy

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Speaker 2: that's out there to upend the system, to have some

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Speaker 2: sort of something that approaches a more just and human

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Speaker 2: first versus profit first healthcare system that is all out

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Speaker 2: there for the taking. So as you wander in the

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Speaker 2: wilderness and wonder what you can do to get back

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Speaker 2: into political power, maybe try actually challenging powerful interests and

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Speaker 2: trying to improve people's lives. Maybe try to write the

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Speaker 2: injustices in a disgusting and vile healthcare system. Just a

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Speaker 2: thought there for you as you move forward.

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Speaker 1: It is I think it has now passed into the

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Speaker 1: realm of just even interesting in the group, which and

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Speaker 1: by the way, the crime itself is insane, right, is

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Speaker 1: now into a sociological I've seen a lot of analysts

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Speaker 1: and others just be like, hey, look like, you know,

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Speaker 1: nobody's condoning this, but you've got to go out and

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Speaker 1: take a look at some other response and just say like, wow,

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Speaker 1: this is pretty crazy. It can tell you a little

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Speaker 1: bit about something.

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Speaker 2: Yeah, and this isn't just like the dirtbag left. This

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Speaker 2: isn't just like the chopo guys.

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Speaker 1: I will say, there is a lot of like really

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Speaker 1: annoying just yeah, there's a lot of cosplay about there.

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Speaker 1: It's like, okay, guys, you know, like let's let's keep

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Speaker 1: it down a little bit.

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Speaker 2: But some shit posts.

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Speaker 1: Okay, look, you should post what you want. But then

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Speaker 1: people should rightfully just be like, oh, it's a really

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Speaker 1: interesting right in terms of what selective application of what

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Speaker 1: good violence is or not whatever. We can get into

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Speaker 1: that like a little bit later. And then, by the way,

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Speaker 1: how did it all work out? Whenever you were all

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Speaker 1: riot posting during BLM, the country was really with you,

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Speaker 1: wasn't they. The point is is that clearly sociologically the

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Speaker 1: response has been devastating. I would thank for the healthcare industry,

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Speaker 1: for the public itself, and even for trying to solve

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Speaker 1: the crime. That will be one where it like, I mean,

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Speaker 1: just imagintive they are able to apprehend this person. You

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Speaker 1: could imagine some sort of like trial by trial of

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Speaker 1: the century type, you know, stuff in terms of him,

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Speaker 1: you know, whoever this perfect trader is. Let's say he

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Speaker 1: had a relative or himself was affected by the healthcare

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Speaker 1: system trying to put them on Try, but it could

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Speaker 1: become like a real thing if that does happen, And

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Speaker 1: if they don't catch him, that's even more insane that

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Speaker 1: somebody was able to get away with this. So we're

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Speaker 1: some twenty four hours now post the shooting. NYPD basically

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Speaker 1: has gotten nothing from what we're The only clue they

433
00:22:22,480 --> 00:22:24,960
Speaker 1: have right now is that, you know, the carvings that

434
00:22:25,000 --> 00:22:28,320
Speaker 1: were put on the bullet casing. So we'll keep everybody updated.

435
00:22:28,720 --> 00:22:31,000
Speaker 1: But certainly you know, even when even when they do

436
00:22:31,080 --> 00:22:33,240
Speaker 1: catch somebody as well, Like, there's going to be a

437
00:22:33,240 --> 00:22:34,280
Speaker 1: lot of what's the.

438
00:22:34,280 --> 00:22:38,560
Speaker 2: Story, what led? What led to take this action?

439
00:22:38,680 --> 00:22:40,920
Speaker 1: Yeah? I mean this person put a ton of planning

440
00:22:41,160 --> 00:22:44,919
Speaker 1: and time and know how into executing this, taking the

441
00:22:44,920 --> 00:22:47,879
Speaker 1: time to literally etch things on a bullet that's some

442
00:22:47,880 --> 00:22:50,560
Speaker 1: stuff out of like peaky blinds for people want to

443
00:22:50,680 --> 00:22:52,720
Speaker 1: watch the show to send him out. Exactly. It's like

444
00:22:52,760 --> 00:22:55,719
Speaker 1: literal joker stuff. That's that's like what that's what this is?

445
00:22:55,760 --> 00:22:56,919
Speaker 1: So exactly what this is?

446
00:23:00,000 --> 00:23:02,959
Speaker 2: All right, let's move on to the latest from Trump.

447
00:23:03,240 --> 00:23:07,680
Speaker 2: We had actually a pretty positive pick for his cabinet.

448
00:23:07,680 --> 00:23:09,440
Speaker 2: I'm going to get to some not so positive ones,

449
00:23:09,440 --> 00:23:11,040
Speaker 2: but let's start with the good news here. Put this

450
00:23:11,200 --> 00:23:15,240
Speaker 2: up on the screen. He's nominated Gail Slater as Assistant

451
00:23:15,240 --> 00:23:18,320
Speaker 2: Attorney General for the Anti Trust Division at the Department

452
00:23:18,359 --> 00:23:21,040
Speaker 2: of Justice. This is the position currently held by Jonathan Cantor,

453
00:23:21,080 --> 00:23:23,560
Speaker 2: who's been a real warrior ally of Lena Khan in

454
00:23:23,640 --> 00:23:28,080
Speaker 2: terms of the new anti trust movement. He goes on

455
00:23:28,119 --> 00:23:30,360
Speaker 2: to say big tech has run wild for years, stifling

456
00:23:30,400 --> 00:23:32,960
Speaker 2: competition our most innovative sector, and as we all know,

457
00:23:33,359 --> 00:23:35,280
Speaker 2: using its market power to crack down on the rights

458
00:23:35,280 --> 00:23:37,680
Speaker 2: of so many Americans, as well as those of little tech.

459
00:23:38,000 --> 00:23:39,720
Speaker 2: I was proud to fight these abuses in my first

460
00:23:39,800 --> 00:23:42,120
Speaker 2: term and under a Department of Justices Anti Trust team

461
00:23:42,119 --> 00:23:45,160
Speaker 2: will continue that work under Gail's leadership. Gail previously served

462
00:23:45,160 --> 00:23:48,120
Speaker 2: at the FTC in my National Economic Council, most recently

463
00:23:48,160 --> 00:23:50,600
Speaker 2: advising JD Vance, so this is like a JD Vance

464
00:23:50,720 --> 00:23:54,040
Speaker 2: ally it appears in his Senate office. Gail's also worked

465
00:23:54,080 --> 00:23:55,919
Speaker 2: in the private sector in media at Fox, in the

466
00:23:55,920 --> 00:23:58,160
Speaker 2: tech sector at Roku, and our new role, Gale will

467
00:23:58,160 --> 00:24:02,000
Speaker 2: help ensure our competition laws our enforced both vigorously and fairly,

468
00:24:02,040 --> 00:24:04,960
Speaker 2: with clear rules that facilitate, rather than stifle, the ingenuity

469
00:24:05,000 --> 00:24:07,880
Speaker 2: of our greatest companies. Congrat scale. Together, we'll make America

470
00:24:07,960 --> 00:24:12,760
Speaker 2: competitive again. Is this someone that you had familiarity with previously, Sarka, I.

471
00:24:12,720 --> 00:24:14,440
Speaker 1: Personally day Gaale. I know a lot of people who

472
00:24:14,480 --> 00:24:16,480
Speaker 1: do know her. They speak very, very highly of her.

473
00:24:16,520 --> 00:24:20,320
Speaker 1: She's kind of been in the big conservative anti trust movement,

474
00:24:20,640 --> 00:24:24,040
Speaker 1: not a surprise by the way, that hated desperately by

475
00:24:24,080 --> 00:24:27,520
Speaker 1: a lot of the Heritage Foundation types and others, but

476
00:24:27,640 --> 00:24:30,520
Speaker 1: has been on the front market sign specifically on Google,

477
00:24:31,000 --> 00:24:33,120
Speaker 1: Facebook and others. You also should take a look at

478
00:24:33,119 --> 00:24:36,040
Speaker 1: the text there, which is very important of what Donald

479
00:24:36,080 --> 00:24:39,680
Speaker 1: Trump actually said in his release, and he was specifically

480
00:24:39,680 --> 00:24:43,280
Speaker 1: talking here about quote we will know big tech. Big

481
00:24:43,320 --> 00:24:46,359
Speaker 1: tech is run wild and using its power market power

482
00:24:46,400 --> 00:24:49,280
Speaker 1: to crack down on the rights of many Americans as

483
00:24:49,320 --> 00:24:52,080
Speaker 1: well of those of little tech. So little tech has

484
00:24:52,119 --> 00:24:55,760
Speaker 1: become an acronym kind of pushed forward by White Combinator

485
00:24:56,040 --> 00:24:59,040
Speaker 1: and a few others, which is about the emergence of

486
00:24:59,119 --> 00:25:02,400
Speaker 1: the startup eCos system and its inability to compete fairly

487
00:25:02,760 --> 00:25:05,560
Speaker 1: on grounds. The reason little tech is actually so important

488
00:25:05,560 --> 00:25:08,639
Speaker 1: I did a monologue about this previously with respect to AI,

489
00:25:09,119 --> 00:25:12,240
Speaker 1: is that AI itself naturally lends itself to people with

490
00:25:12,280 --> 00:25:14,720
Speaker 1: a shit ton of money, people like Amazon, Facebook and

491
00:25:14,720 --> 00:25:17,040
Speaker 1: other BECs. The server cost is so high. The problem

492
00:25:17,119 --> 00:25:18,920
Speaker 1: with that is that it means that whatever the next

493
00:25:18,960 --> 00:25:21,520
Speaker 1: innovation is is likely to be built in house by

494
00:25:21,520 --> 00:25:24,879
Speaker 1: these already massive giants. So what you want is actually

495
00:25:24,960 --> 00:25:28,440
Speaker 1: to create an open source ecosystem which allows the emergence

496
00:25:28,520 --> 00:25:31,680
Speaker 1: of new players and is not allowed to be totally captured.

497
00:25:31,720 --> 00:25:34,480
Speaker 1: That is something that little tech has really become an

498
00:25:34,480 --> 00:25:38,040
Speaker 1: important war in and actually it gets to Mark Andriesen,

499
00:25:38,240 --> 00:25:40,320
Speaker 1: who we talked about previously has been a big little

500
00:25:40,320 --> 00:25:42,200
Speaker 1: tech quote unquote fighter. But there are a lot of

501
00:25:42,280 --> 00:25:46,119
Speaker 1: other individuals out there, Gary Tan who I recommend people follow.

502
00:25:46,160 --> 00:25:48,840
Speaker 1: He's a head of y Combinator currently. Luther Lowe who

503
00:25:48,840 --> 00:25:51,879
Speaker 1: currently works for y Combinator. He previously worked at Yelp.

504
00:25:52,000 --> 00:25:54,840
Speaker 1: That guy's absolute anti trust warrior. People should go and

505
00:25:54,880 --> 00:25:56,840
Speaker 1: follow him on Twitter. There are a lot of people

506
00:25:56,880 --> 00:25:59,520
Speaker 1: here in DC and others who've been involved in this movement,

507
00:25:59,520 --> 00:26:01,760
Speaker 1: and I would say this is a major victory for them,

508
00:26:01,800 --> 00:26:04,560
Speaker 1: and it is interesting. It's an ideological fight. It also

509
00:26:04,720 --> 00:26:07,119
Speaker 1: will show you what the Titanic showdown of the century is,

510
00:26:07,200 --> 00:26:10,080
Speaker 1: because there's a reason that Mark Zuckerberg has his ass

511
00:26:10,080 --> 00:26:12,600
Speaker 1: down in ma A Lago and that Jeff Bezos yesterday

512
00:26:12,600 --> 00:26:14,840
Speaker 1: at the New York Times Deal Book conference was like,

513
00:26:14,920 --> 00:26:17,640
Speaker 1: Trump is great. He's really learned about how to quash regulations.

514
00:26:19,040 --> 00:26:23,800
Speaker 1: These people they know that this is probably the single

515
00:26:24,040 --> 00:26:27,359
Speaker 1: largest existential threat to their business, Like if you really

516
00:26:27,359 --> 00:26:30,119
Speaker 1: believe that AI is the future, which all of them do,

517
00:26:30,280 --> 00:26:33,520
Speaker 1: and all of them have poured Matt billions of dollars

518
00:26:33,840 --> 00:26:36,080
Speaker 1: of their profits into They don't have to do that.

519
00:26:36,119 --> 00:26:38,920
Speaker 1: If they didn't think it would be commercially viable, then

520
00:26:38,960 --> 00:26:42,840
Speaker 1: your inability to capture that future market would both kill

521
00:26:42,880 --> 00:26:45,159
Speaker 1: your current investment and possibly could put you out of

522
00:26:45,160 --> 00:26:47,760
Speaker 1: business in the future, or at the very least have

523
00:26:47,880 --> 00:26:50,439
Speaker 1: to compete. God forbid that they would have to do that.

524
00:26:50,560 --> 00:26:52,639
Speaker 1: So you have a lot of stuff going on right now.

525
00:26:52,840 --> 00:26:56,040
Speaker 1: There's a lot of ideas about splitting Google Search away

526
00:26:56,080 --> 00:26:59,000
Speaker 1: from Google Ads, or from the rest of the alphabet

527
00:26:59,280 --> 00:27:03,840
Speaker 1: company a Amazon, which Bezos of course used to helm

528
00:27:03,960 --> 00:27:06,840
Speaker 1: the ideas you would split like aws away from their

529
00:27:06,880 --> 00:27:09,960
Speaker 1: retail business. There's a lot of unfair competition that happens

530
00:27:10,240 --> 00:27:12,680
Speaker 1: in this sector. So anyway, I think it's I think

531
00:27:12,720 --> 00:27:14,960
Speaker 1: it will be. It could be one of the most

532
00:27:14,960 --> 00:27:17,320
Speaker 1: positive developments. And the fact that he picked her is

533
00:27:17,359 --> 00:27:18,000
Speaker 1: a very very good So.

534
00:27:18,160 --> 00:27:21,200
Speaker 2: I actually think this is a more important development than

535
00:27:21,240 --> 00:27:24,600
Speaker 2: while you were out. We covered the Labor secretary who

536
00:27:24,720 --> 00:27:26,760
Speaker 2: had like vote for the pro act, but then if

537
00:27:26,760 --> 00:27:28,360
Speaker 2: you look at the rest of her record, she only

538
00:27:28,440 --> 00:27:31,000
Speaker 2: has a ten percent record of voting with the AFLCIO,

539
00:27:31,119 --> 00:27:33,080
Speaker 2: So Like backing the pro act was an attempt to

540
00:27:33,119 --> 00:27:36,480
Speaker 2: win in the swing district. And also the Labor secretary

541
00:27:36,560 --> 00:27:38,399
Speaker 2: is in a lot of ways less powerful than whoever

542
00:27:38,440 --> 00:27:40,520
Speaker 2: you put in at the NLRB, So that one's still

543
00:27:40,640 --> 00:27:42,959
Speaker 2: very like I'm not sure how much we're getting out

544
00:27:42,960 --> 00:27:45,000
Speaker 2: of this one. This one, to me is more significant.

545
00:27:45,040 --> 00:27:46,919
Speaker 2: You know, I take my cues on anti drust from

546
00:27:46,920 --> 00:27:48,720
Speaker 2: Matt Stoller because he just knows way more about it

547
00:27:48,720 --> 00:27:49,639
Speaker 2: than I'll ever dream of me.

548
00:27:49,640 --> 00:27:51,760
Speaker 1: He's probably worked with you, and he.

549
00:27:51,640 --> 00:27:54,560
Speaker 2: Clearly knows who she is, probably has worked directly with her.

550
00:27:54,840 --> 00:27:57,200
Speaker 2: And it's funny because he had just tweeted like the

551
00:27:57,240 --> 00:28:02,160
Speaker 2: Trump administration has studiously avoided put any economic populist into

552
00:28:02,200 --> 00:28:05,320
Speaker 2: their administration, and then within minutes they made this pick.

553
00:28:05,680 --> 00:28:08,040
Speaker 2: So you know, we should have overstate it because there's

554
00:28:08,080 --> 00:28:11,160
Speaker 2: still very few people you would consider to be like JD.

555
00:28:11,280 --> 00:28:14,960
Speaker 2: Van's allies who've been put into the administration. And those

556
00:28:15,000 --> 00:28:17,960
Speaker 2: tensions you're talking about, I mean, that's not just outside

557
00:28:18,000 --> 00:28:21,720
Speaker 2: of the Trump world. The Zuckerbergs and the Sunda Pachai

558
00:28:21,760 --> 00:28:24,200
Speaker 2: who and Tim cook who or Tim Apple as Trump

559
00:28:24,320 --> 00:28:26,720
Speaker 2: likes to call him, who you know, called Trump and

560
00:28:26,800 --> 00:28:28,520
Speaker 2: are trying to get in good with him and trying

561
00:28:28,520 --> 00:28:31,080
Speaker 2: to reassure him and make sure that their companies don't

562
00:28:31,160 --> 00:28:34,000
Speaker 2: end up being targeted. But you know, obviously he has

563
00:28:34,040 --> 00:28:35,760
Speaker 2: and we're about to get to he has a lot

564
00:28:35,760 --> 00:28:40,360
Speaker 2: of billionaire, more libertarian minded people who are in his

565
00:28:40,400 --> 00:28:43,840
Speaker 2: administration or who are influential with his administration, who are

566
00:28:43,840 --> 00:28:48,640
Speaker 2: not interested in going in this particular direction. So you know,

567
00:28:48,760 --> 00:28:52,680
Speaker 2: those typical like Chamber of Commerce business interests still have

568
00:28:52,920 --> 00:28:56,040
Speaker 2: a lot of sway in the Republican Party in particular

569
00:28:56,120 --> 00:28:59,080
Speaker 2: and in Washington in general. So this will be quite

570
00:28:59,080 --> 00:29:02,400
Speaker 2: a battle to see how this all ultimately turns out.

571
00:29:02,760 --> 00:29:05,240
Speaker 2: And let's get to the next one. Speaking of, you know,

572
00:29:05,280 --> 00:29:08,960
Speaker 2: some of the ideological indications of this administration. This is

573
00:29:09,440 --> 00:29:12,520
Speaker 2: zero surprise but still worth taking note of. So the

574
00:29:12,560 --> 00:29:15,760
Speaker 2: current SEC Commissioner is a guy named Gary Gensler, who,

575
00:29:15,800 --> 00:29:21,080
Speaker 2: among other things, has believed that cryptocurrencies should be regulated

576
00:29:21,200 --> 00:29:24,760
Speaker 2: by the SEC, and the SEC, of the various financial

577
00:29:24,800 --> 00:29:28,800
Speaker 2: regulatory agencies, is the most aggressive in terms of enforcement.

578
00:29:29,160 --> 00:29:32,840
Speaker 2: That created all kinds of you know, conflicts and recriminations.

579
00:29:32,920 --> 00:29:35,520
Speaker 2: There was a whole fight about, okay, which agency should

580
00:29:35,560 --> 00:29:39,800
Speaker 2: really be regulating or not really regulating the crypto industry,

581
00:29:40,200 --> 00:29:42,760
Speaker 2: and to be honest with you, probably whether it was

582
00:29:42,800 --> 00:29:46,440
Speaker 2: Kamala or Trump, because the crypto industry has spent a

583
00:29:46,720 --> 00:29:50,680
Speaker 2: lot of money in our electoral system on both sides

584
00:29:50,680 --> 00:29:52,440
Speaker 2: of the aisle, you were going to get an se

585
00:29:52,520 --> 00:29:54,600
Speaker 2: cheric who was going to be, you know, much more

586
00:29:54,640 --> 00:29:57,480
Speaker 2: crypto friendly. And that is exactly what Trump has picked here.

587
00:29:57,520 --> 00:30:00,760
Speaker 2: He picked Paul Atkins to run the SEC. They describe

588
00:30:00,760 --> 00:30:04,560
Speaker 2: as a pro business conservative. He'd previously been an SEC

589
00:30:04,560 --> 00:30:08,000
Speaker 2: commissioner under George W. Bush. And what he is known

590
00:30:08,040 --> 00:30:11,400
Speaker 2: for is he's on the advisory board of securitized digital

591
00:30:11,400 --> 00:30:14,520
Speaker 2: asset firm that promotes the use of digital tokens. He's

592
00:30:14,600 --> 00:30:18,120
Speaker 2: considered to be very friendly to the crypto industry. Will

593
00:30:18,120 --> 00:30:21,720
Speaker 2: probably push the regulation of this over to one of

594
00:30:21,760 --> 00:30:24,480
Speaker 2: the other one of the other bodies that will do

595
00:30:24,560 --> 00:30:27,080
Speaker 2: a lot less in terms of enforcement. And then one

596
00:30:27,120 --> 00:30:28,800
Speaker 2: of the other big things they'll have to decide right

597
00:30:28,840 --> 00:30:31,320
Speaker 2: away that's pointed out in this article is the SEC

598
00:30:31,400 --> 00:30:35,880
Speaker 2: had filed charges against Coinbase, which is obviously a massive

599
00:30:35,880 --> 00:30:38,920
Speaker 2: crypto exchange. They charged the company with violating securities law.

600
00:30:38,960 --> 00:30:40,840
Speaker 2: We had covered this here by failing to register as

601
00:30:40,840 --> 00:30:43,320
Speaker 2: a broker, allowing unregistered crypto assets to be sold on

602
00:30:43,360 --> 00:30:46,840
Speaker 2: its platform. So that will be one of the first questions,

603
00:30:46,880 --> 00:30:49,960
Speaker 2: and it's one of the current SEC Commissioner Gary Gensler's

604
00:30:49,960 --> 00:30:54,360
Speaker 2: signature cases. Are they going to continue that high profile

605
00:30:54,520 --> 00:30:57,520
Speaker 2: enforcement action. I would say it is very unlikely.

606
00:30:57,840 --> 00:31:00,800
Speaker 1: Oh no, I mean listen for anybody he was paying attention,

607
00:31:01,280 --> 00:31:05,680
Speaker 1: Tyler Winklevoss and Cameron Winklevoss and who else, all of

608
00:31:05,720 --> 00:31:09,120
Speaker 1: the other the entire crypto industry. The Bitcoin conference. They

609
00:31:09,160 --> 00:31:11,920
Speaker 1: did not give one million dollars to Trump for free.

610
00:31:12,080 --> 00:31:15,640
Speaker 1: Donald Trump did not change his mind on crypto for free.

611
00:31:15,840 --> 00:31:17,720
Speaker 1: I actually remember when he was president because I freaked

612
00:31:17,720 --> 00:31:22,040
Speaker 1: out about it whenever he tweeted against bitcoin. Bitcoin itself, hilariously,

613
00:31:22,160 --> 00:31:24,280
Speaker 1: is actually a very counter to Donald Trump. Donald Trump

614
00:31:24,320 --> 00:31:27,320
Speaker 1: is obsessed with the strong dollar. That's why he loves tariffs,

615
00:31:27,320 --> 00:31:29,680
Speaker 1: and that's why he wants to impose tariffs on the

616
00:31:29,680 --> 00:31:32,800
Speaker 1: bricks countries who are pursuing an alternative currency. But the

617
00:31:32,840 --> 00:31:35,000
Speaker 1: truth is is that the immense amount of wealth and

618
00:31:35,040 --> 00:31:38,360
Speaker 1: bitcoin is now basically undeniable. As of this morning, bitcoin

619
00:31:38,400 --> 00:31:42,160
Speaker 1: officially crossed the one hundred thousand threshold, something I wouldn't

620
00:31:42,320 --> 00:31:45,040
Speaker 1: I never dreamed in a million years that I would

621
00:31:45,040 --> 00:31:48,160
Speaker 1: actually get to see this day. I was shit posting

622
00:31:48,520 --> 00:31:50,920
Speaker 1: memes about bitcoin goin to the moon when it was

623
00:31:50,960 --> 00:31:55,400
Speaker 1: at nine thousand dollars. Just for context, I bought, I

624
00:31:55,720 --> 00:31:58,479
Speaker 1: was talking about it. Should have listened, should have listened,

625
00:31:58,600 --> 00:32:01,280
Speaker 1: bought my verse bitcoin. I think think in twenty fifteen,

626
00:32:01,440 --> 00:32:03,680
Speaker 1: just four context, and I thought I was late. I

627
00:32:03,760 --> 00:32:05,400
Speaker 1: was like, there's no way and it's all going to

628
00:32:05,400 --> 00:32:07,880
Speaker 1: go to zero. So worked out. But the point is

629
00:32:07,880 --> 00:32:11,480
Speaker 1: is that with bitcoin itself, it has now become extra. Look,

630
00:32:11,520 --> 00:32:15,080
Speaker 1: I mean this is a multigajillion dollar industry because we're

631
00:32:15,120 --> 00:32:18,880
Speaker 1: not even talking about bitcoin. We're talking about platforms like Gemini,

632
00:32:18,960 --> 00:32:22,959
Speaker 1: which are owned by the Winklevy. Then you've forgot the

633
00:32:22,960 --> 00:32:26,160
Speaker 1: coin coin base itself, multi billion dollar company. I mean,

634
00:32:26,160 --> 00:32:28,240
Speaker 1: this is clearly here to say, there's just no getting

635
00:32:28,240 --> 00:32:31,680
Speaker 1: around it. You've got bitcoin ETFs now that have happened.

636
00:32:31,680 --> 00:32:34,480
Speaker 1: What the sec did just this is nerdy to stick

637
00:32:34,520 --> 00:32:37,320
Speaker 1: with me, is that they decided crypto should be regulated

638
00:32:37,360 --> 00:32:40,840
Speaker 1: as a security and that every transaction on the blockchain

639
00:32:41,040 --> 00:32:44,160
Speaker 1: would have to comply with securities laws. There's a specific

640
00:32:44,240 --> 00:32:47,760
Speaker 1: test that the Supreme Court has determined, or maybe some

641
00:32:47,880 --> 00:32:50,440
Speaker 1: other court. I forget for the financial guys can explain

642
00:32:50,480 --> 00:32:52,560
Speaker 1: it to me, but effectively, there's like a type of

643
00:32:52,640 --> 00:32:58,880
Speaker 1: regulation which goes into play legally that requires an immense

644
00:32:58,960 --> 00:33:01,959
Speaker 1: amount of compliance if you want to be able to

645
00:33:02,040 --> 00:33:06,120
Speaker 1: transact like that. Under the current SEC regime, it has

646
00:33:06,280 --> 00:33:10,480
Speaker 1: been the basically betmar of the crypto industry since that

647
00:33:10,520 --> 00:33:13,320
Speaker 1: went into place in twenty twenty two under Gary Gensler

648
00:33:13,480 --> 00:33:15,720
Speaker 1: to have that guidance reversed, and it was one of

649
00:33:15,760 --> 00:33:18,040
Speaker 1: the main reasons that a lot of these Teche people

650
00:33:18,160 --> 00:33:21,320
Speaker 1: decided to back Donald Trump. So again, they're going to

651
00:33:21,400 --> 00:33:24,480
Speaker 1: get what they paid, that's right, and you know they're

652
00:33:24,480 --> 00:33:26,040
Speaker 1: probably going to get some of it under Comblin they

653
00:33:26,080 --> 00:33:26,480
Speaker 1: were Yeah.

654
00:33:26,480 --> 00:33:29,840
Speaker 2: I mean you remember Mark Cuban was sweating himself for SEC.

655
00:33:30,040 --> 00:33:30,440
Speaker 1: That's why.

656
00:33:30,560 --> 00:33:33,280
Speaker 2: Yeah. And you know, it was clear like there was

657
00:33:33,440 --> 00:33:35,840
Speaker 2: a war on Gary Chenceler and that war had already

658
00:33:35,840 --> 00:33:39,480
Speaker 2: been won before this election. And one of the seminal

659
00:33:39,520 --> 00:33:41,760
Speaker 2: moments was because it's crazy because you have the whole

660
00:33:41,760 --> 00:33:45,920
Speaker 2: Sam Bankman free thing, right, this massive fraud is exposed

661
00:33:45,920 --> 00:33:47,640
Speaker 2: and how this was just like a house of cards

662
00:33:47,640 --> 00:33:50,080
Speaker 2: and a total Ponzi scheme. And he goes to prison

663
00:33:50,160 --> 00:33:53,200
Speaker 2: and you know, it's he's giving all kinds of money

664
00:33:53,240 --> 00:33:56,640
Speaker 2: publicly to Democrats and more secret leader Republicans, and so

665
00:33:56,680 --> 00:33:58,640
Speaker 2: you would have thought that that would have dealt a

666
00:33:58,680 --> 00:34:01,640
Speaker 2: blow to their influence in DC, but not at all.

667
00:34:01,760 --> 00:34:04,160
Speaker 2: On the contrary, you know, they sort of got smart

668
00:34:04,240 --> 00:34:08,719
Speaker 2: from there. They lobby and organize super packs just like

669
00:34:08,840 --> 00:34:12,759
Speaker 2: every other major interest. In fact, Crypto was one of,

670
00:34:13,120 --> 00:34:18,239
Speaker 2: if not the largest contributor to the twenty twenty four

671
00:34:18,280 --> 00:34:21,880
Speaker 2: elections by industry in this entire you know, in this

672
00:34:22,080 --> 00:34:24,680
Speaker 2: entire election. But one of the seminal moments in this

673
00:34:24,800 --> 00:34:28,680
Speaker 2: fight was Katie Porter, who had been you know, adversarial

674
00:34:28,719 --> 00:34:30,640
Speaker 2: to them. And it's not like they're like, oh, we

675
00:34:30,719 --> 00:34:32,279
Speaker 2: have to get rid of bitcoin. It's like we're going

676
00:34:32,320 --> 00:34:36,200
Speaker 2: to enforce you know, securities regulations Asaba was explaining, using

677
00:34:36,239 --> 00:34:39,360
Speaker 2: the sec and so they're more adversarial, is with Warren

678
00:34:39,400 --> 00:34:41,640
Speaker 2: being part of that wing as well. So in any case,

679
00:34:41,800 --> 00:34:46,080
Speaker 2: they dropped millions of dollars in Katie Porter's race and

680
00:34:46,160 --> 00:34:48,960
Speaker 2: they were able to defeat her, and that really sent

681
00:34:49,000 --> 00:34:53,360
Speaker 2: a chill across any legislator who had been more adversarial

682
00:34:53,360 --> 00:34:56,640
Speaker 2: to Crypto, and since then they've all just been folding

683
00:34:56,680 --> 00:34:58,800
Speaker 2: like a deck of cards on both sides.

684
00:34:58,560 --> 00:34:58,960
Speaker 1: Of the aisle.

685
00:34:59,320 --> 00:35:03,560
Speaker 2: So yeah, even before you know Trump made was able

686
00:35:03,560 --> 00:35:07,759
Speaker 2: to win, they had already basically locked in a more

687
00:35:07,760 --> 00:35:10,800
Speaker 2: friendly regime, whether it was Kamala or whether it was Trump.

688
00:35:10,960 --> 00:35:13,360
Speaker 2: And of course we can't forget Trump himself has his

689
00:35:13,480 --> 00:35:17,919
Speaker 2: own stupid crypto currency at this point as well, and

690
00:35:18,200 --> 00:35:21,520
Speaker 2: you know, there's a lot that's disturbing about that in

691
00:35:21,600 --> 00:35:24,640
Speaker 2: terms of the possibility for corruption. Last time in the

692
00:35:24,680 --> 00:35:27,440
Speaker 2: Trump administration, the way for people to get in good

693
00:35:27,480 --> 00:35:30,040
Speaker 2: with Trump was to stay at his hotel and like

694
00:35:30,239 --> 00:35:33,640
Speaker 2: very like, you know, demonstrably and performatively spas day at

695
00:35:33,640 --> 00:35:35,680
Speaker 2: his hotel and secure a large block of rooms and

696
00:35:35,680 --> 00:35:38,480
Speaker 2: spend lots and lots of money. Now they can just

697
00:35:38,840 --> 00:35:41,840
Speaker 2: buy a bunch of his crypto crypto coin what is it,

698
00:35:42,040 --> 00:35:44,000
Speaker 2: is it called trump coin, whatever it is called. Anyway,

699
00:35:44,040 --> 00:35:45,440
Speaker 2: they can do that. And there's already a lot of

700
00:35:45,440 --> 00:35:48,319
Speaker 2: indication that that's already happening, by the way, So yeah,

701
00:35:48,320 --> 00:35:49,160
Speaker 2: he's all in with them.

702
00:35:49,200 --> 00:35:52,680
Speaker 1: Bristol is a Hawktua coin. Oh my god, she apparently

703
00:35:55,000 --> 00:35:56,040
Speaker 1: Look I am pro.

704
00:35:56,160 --> 00:35:57,920
Speaker 2: Look you kind of have to admire this lady for

705
00:35:57,960 --> 00:35:59,359
Speaker 2: the way she's capitalized on her.

706
00:36:00,560 --> 00:36:02,520
Speaker 1: I toltally about this morning. I've been involved in the

707
00:36:02,520 --> 00:36:04,400
Speaker 1: sports gambling fight, and by the way, I will do

708
00:36:04,440 --> 00:36:07,240
Speaker 1: a very long magnum opus about why sports gambling online

709
00:36:07,640 --> 00:36:09,920
Speaker 1: is very bad. But honestly, I am just resigned at

710
00:36:09,920 --> 00:36:12,640
Speaker 1: this point. Americans are obsessed with pissing their money away.

711
00:36:12,680 --> 00:36:14,640
Speaker 1: I just don't know what to do at this point.

712
00:36:14,760 --> 00:36:17,080
Speaker 1: Like they love weed, they are addicted to weed. They

713
00:36:17,080 --> 00:36:20,000
Speaker 1: want to send it all to OnlyFans, addicts whenever they

714
00:36:20,040 --> 00:36:23,880
Speaker 1: eventually win, only fans models when they win, they just

715
00:36:23,960 --> 00:36:27,600
Speaker 1: want to gamble and to buy meme shit coins. It's like,

716
00:36:27,680 --> 00:36:29,439
Speaker 1: I don't know what to do at a certain point.

717
00:36:29,480 --> 00:36:31,799
Speaker 1: It's like, you know, should we just should we stop

718
00:36:31,840 --> 00:36:33,799
Speaker 1: people from doing what they want at a certain point?

719
00:36:33,920 --> 00:36:36,040
Speaker 2: Like I just don't know you were gambling right?

720
00:36:36,120 --> 00:36:38,080
Speaker 1: No, But that's what I'm saying. I'm like, what what's

721
00:36:38,120 --> 00:36:39,920
Speaker 1: the point of the fight at this You know, the

722
00:36:40,000 --> 00:36:43,200
Speaker 1: token for Hawktua hit five hundred million dollars. That's how

723
00:36:43,239 --> 00:36:47,680
Speaker 1: much people pumped into the didn't force anybody, no, not for.

724
00:36:47,800 --> 00:36:50,520
Speaker 2: Like, but there have been a lot of like out

725
00:36:50,560 --> 00:36:51,520
Speaker 2: and out SCA.

726
00:36:51,840 --> 00:36:53,880
Speaker 1: I agree, but they want not people want.

727
00:36:53,680 --> 00:36:56,560
Speaker 2: To be people want to be I think they do.

728
00:36:56,680 --> 00:36:57,360
Speaker 1: I mean serious.

729
00:36:57,480 --> 00:37:00,719
Speaker 2: Then the promise of crypto was always is like you

730
00:37:00,760 --> 00:37:04,200
Speaker 2: know that, what is it? Fortune favors the.

731
00:37:04,160 --> 00:37:07,480
Speaker 1: Brave, Ohscrypto dot COM's yeah, that's not to be confused.

732
00:37:07,160 --> 00:37:09,600
Speaker 2: I know, But I'm just saying, that's like the ethos.

733
00:37:09,920 --> 00:37:12,360
Speaker 2: You have a bunch of people who, you know, we

734
00:37:12,440 --> 00:37:15,240
Speaker 2: have this society where it's impossible by a fucking house.

735
00:37:15,520 --> 00:37:18,600
Speaker 2: It's impossible to afford healthcare, not like you know, die

736
00:37:18,719 --> 00:37:21,960
Speaker 2: for one of coverage, et cetera. It's impossible ford an education.

737
00:37:22,480 --> 00:37:26,000
Speaker 2: All these things take so many more years, wages don't

738
00:37:26,040 --> 00:37:28,720
Speaker 2: keep up with inflation, and so this is like sold

739
00:37:28,760 --> 00:37:31,360
Speaker 2: as a chance to be one of the players, like

740
00:37:31,440 --> 00:37:32,600
Speaker 2: to have a shot. It's almost like a.

741
00:37:32,600 --> 00:37:34,880
Speaker 1: Lot of ticket, right, Yeah, it's like, I mean that's.

742
00:37:34,680 --> 00:37:35,160
Speaker 2: What it feels.

743
00:37:35,320 --> 00:37:35,520
Speaker 3: It is.

744
00:37:35,800 --> 00:37:37,560
Speaker 2: It is gamb I mean, it's gambling. It's not any

745
00:37:37,560 --> 00:37:40,040
Speaker 2: different really than the sports betting thing. It taps into

746
00:37:40,040 --> 00:37:43,640
Speaker 2: that same sense of like this at least gives me

747
00:37:43,719 --> 00:37:46,719
Speaker 2: a chance of being able to make it and have

748
00:37:46,760 --> 00:37:49,480
Speaker 2: the life that I envision for myself and my family.

749
00:37:49,840 --> 00:37:52,640
Speaker 2: And I think anytime you're tapping into that, you know,

750
00:37:52,800 --> 00:37:54,960
Speaker 2: it's I'm not saying I'm you know, more probably more

751
00:37:54,960 --> 00:37:57,200
Speaker 2: libertarian on these things than you are. Soccer, I'm gonna

752
00:37:57,200 --> 00:37:59,080
Speaker 2: say you should be banned, but it should be regulated.

753
00:37:59,160 --> 00:38:02,200
Speaker 2: It should definitely be regulated. And obviously we've seen in

754
00:38:02,239 --> 00:38:06,400
Speaker 2: our lifetimes how when a massive speculatory bubble emerges, how

755
00:38:06,480 --> 00:38:09,000
Speaker 2: can be absolutely devastating, not only for the people who

756
00:38:09,000 --> 00:38:10,839
Speaker 2: are directly implicable for the acconimulation.

757
00:38:10,920 --> 00:38:12,680
Speaker 1: So that's my point, and that's why I get annoyed

758
00:38:12,760 --> 00:38:15,480
Speaker 1: is everyone's like, let me gamble on my phone. It's like, okay, fine,

759
00:38:15,520 --> 00:38:18,120
Speaker 1: but then don't come crying to me whenever we have

760
00:38:18,200 --> 00:38:20,760
Speaker 1: to send police officers to your house because you're pissed

761
00:38:20,800 --> 00:38:23,000
Speaker 1: drunk and you're beating up your wife and by the way,

762
00:38:23,080 --> 00:38:26,480
Speaker 1: that's been happening tremendously all across the entire nation, or

763
00:38:26,560 --> 00:38:30,640
Speaker 1: whenever you know you, you know you, you drink yourself

764
00:38:30,880 --> 00:38:32,759
Speaker 1: near to death and we have to send EMTs and

765
00:38:32,760 --> 00:38:34,560
Speaker 1: we have to pay for your health care bills, or

766
00:38:34,719 --> 00:38:36,440
Speaker 1: I mean go on forever in terms of the social

767
00:38:36,440 --> 00:38:39,200
Speaker 1: services that all of this stuff is going to cost.

768
00:38:39,200 --> 00:38:41,840
Speaker 1: But people are addicted to it. I just I honestly

769
00:38:41,880 --> 00:38:44,719
Speaker 1: I feel very blackpilled today just with the response on

770
00:38:44,719 --> 00:38:48,160
Speaker 1: online gambling with you know this Hawkta thing, and it's

771
00:38:48,200 --> 00:38:51,040
Speaker 1: like how many RUG polls do we go throughree twenty twenty,

772
00:38:51,080 --> 00:38:53,160
Speaker 1: how many? And people are still doing it. I don't

773
00:38:53,160 --> 00:38:55,320
Speaker 1: know should we save people from themselves at this point?

774
00:38:55,320 --> 00:38:57,799
Speaker 1: Like what's the point. It's they're addicted to it. It's

775
00:38:57,920 --> 00:39:00,000
Speaker 1: like whatever, I'm sure SOMEONEI clip this out.

776
00:39:00,000 --> 00:39:01,680
Speaker 2: I think we should protect people from scammert.

777
00:39:01,840 --> 00:39:03,600
Speaker 1: I agree with you, But they don't want to. They

778
00:39:03,600 --> 00:39:04,120
Speaker 1: don't want it.

779
00:39:04,800 --> 00:39:08,200
Speaker 2: But nobody wants to be one wants to be scammed,

780
00:39:09,320 --> 00:39:09,879
Speaker 2: old lie.

781
00:39:10,040 --> 00:39:12,200
Speaker 1: Every time you bet a parlay bet on sports gambling,

782
00:39:12,280 --> 00:39:14,720
Speaker 1: you're getting scammed. Guess what the number one most profitable

783
00:39:14,719 --> 00:39:16,960
Speaker 1: and most bet thing on sports gambling parlay bet. What

784
00:39:16,960 --> 00:39:18,719
Speaker 1: are we supposed to do at a certain point, you know,

785
00:39:18,800 --> 00:39:20,560
Speaker 1: they like it, they think it's fun. You know, it

786
00:39:20,680 --> 00:39:23,040
Speaker 1: probably is whatever you put a little money into hawk

787
00:39:23,080 --> 00:39:25,520
Speaker 1: Tour or whatever. Also, to be fair, when I pought bitcoin,

788
00:39:25,600 --> 00:39:29,440
Speaker 1: it was specifically because of the the stateless promise. I

789
00:39:29,600 --> 00:39:33,200
Speaker 1: never thought it would become some etf like gold speculative asset.

790
00:39:33,239 --> 00:39:35,399
Speaker 1: Well I brought into the OG vision around the idea

791
00:39:35,400 --> 00:39:37,960
Speaker 1: of like getting around the state people in Argentina used

792
00:39:38,000 --> 00:39:39,280
Speaker 1: to buy houses.

793
00:39:39,080 --> 00:39:41,839
Speaker 2: And at this point, I mean that's just that. I mean,

794
00:39:41,880 --> 00:39:49,879
Speaker 2: that is a small percentage. It's just speculative, like you know, yeah,

795
00:39:49,920 --> 00:39:51,080
Speaker 2: it's just it's just scambling.

796
00:39:51,160 --> 00:39:53,400
Speaker 1: I think the promise of it is that now actually

797
00:39:53,440 --> 00:39:55,680
Speaker 1: now it is so much money that you actually could

798
00:39:56,040 --> 00:39:58,719
Speaker 1: start to use it. I mean, at this point, they're

799
00:39:58,800 --> 00:40:00,880
Speaker 1: I mean a sizable portion of the world billionaires are

800
00:40:00,880 --> 00:40:03,319
Speaker 1: now bitcoin billionaires. None of us will ever know who

801
00:40:03,360 --> 00:40:05,400
Speaker 1: they are. But I mean once you once bitcoin crossed

802
00:40:05,400 --> 00:40:08,440
Speaker 1: one hundred thousand, which it did in the last several hours,

803
00:40:08,440 --> 00:40:11,400
Speaker 1: that's genuinely like a shocking moment for the world economy.

804
00:40:11,400 --> 00:40:13,600
Speaker 1: If it ever passes five hundred thousand or a million,

805
00:40:13,640 --> 00:40:15,440
Speaker 1: that's when you're I think the majority of the world's

806
00:40:15,440 --> 00:40:18,560
Speaker 1: billionaires would be a bitcoin billionaires. So I don't know,

807
00:40:18,640 --> 00:40:21,120
Speaker 1: maybe it will change something. I still believe in some

808
00:40:21,160 --> 00:40:22,080
Speaker 1: of that thing.

809
00:40:22,120 --> 00:40:24,839
Speaker 2: Should be honest with the old days. I actually do too,

810
00:40:25,880 --> 00:40:29,040
Speaker 2: maybe from a somewhat different, not that different though, perspective

811
00:40:29,040 --> 00:40:31,920
Speaker 2: from you of like you know, using bitcoin to evade

812
00:40:32,360 --> 00:40:34,759
Speaker 2: US sanctions regime and things like that, But like that

813
00:40:35,480 --> 00:40:37,439
Speaker 2: part I support, you know, oh.

814
00:40:37,400 --> 00:40:40,120
Speaker 1: Yeah, but remember the Canadian truckers thing, and like that

815
00:40:40,280 --> 00:40:42,120
Speaker 1: was a real wake up call. Whenever they were still

816
00:40:42,120 --> 00:40:44,680
Speaker 1: able to go down on the on the on the

817
00:40:44,719 --> 00:40:47,839
Speaker 1: exchanges and be able to seize their crypto, there's still

818
00:40:47,840 --> 00:40:49,440
Speaker 1: a long way to go. The point is is that guys,

819
00:40:49,440 --> 00:40:51,000
Speaker 1: now we actually there's a ton of money out there.

820
00:40:51,040 --> 00:40:54,000
Speaker 1: If you bought bitcoin, you know early there, you're sitting

821
00:40:54,040 --> 00:40:56,520
Speaker 1: on some sizable profits. You could actually invest in some

822
00:40:56,560 --> 00:40:59,400
Speaker 1: of this alternative ecosystem like you were talking about with sanctions.

823
00:40:59,400 --> 00:41:02,120
Speaker 1: But I mean there's all use cases which on ironically

824
00:41:02,160 --> 00:41:04,759
Speaker 1: could be good and I would like to see some

825
00:41:04,880 --> 00:41:07,080
Speaker 1: of that, but unfortunately a lot of it has evolved

826
00:41:07,080 --> 00:41:10,120
Speaker 1: into ft X hawk to me, what was the other

827
00:41:10,160 --> 00:41:12,800
Speaker 1: one's Safe Moon? I think that was another favorite one

828
00:41:13,160 --> 00:41:15,839
Speaker 1: that people were talking about. So anyways, look, I don't know,

829
00:41:16,200 --> 00:41:18,279
Speaker 1: this is a long this is a more psychological thing.

830
00:41:18,320 --> 00:41:22,160
Speaker 1: But I'm just I am a stunned and amazed at

831
00:41:22,200 --> 00:41:26,680
Speaker 1: people's want an addiction to want to piss their money away.

832
00:41:26,880 --> 00:41:27,719
Speaker 1: I don't get it.

833
00:41:28,040 --> 00:41:30,200
Speaker 2: I do. I get it. It's because I mean it

834
00:41:30,200 --> 00:41:31,000
Speaker 2: does come out.

835
00:41:30,840 --> 00:41:33,120
Speaker 1: Of this like at a certain point, it's like.

836
00:41:33,160 --> 00:41:35,200
Speaker 2: There's a few I mean, there's a few things. There's

837
00:41:35,440 --> 00:41:37,640
Speaker 2: like I was saying this sense like I have no

838
00:41:37,760 --> 00:41:40,080
Speaker 2: other shot, Like this is my shot. You know. It's

839
00:41:40,160 --> 00:41:41,759
Speaker 2: the people that you see lined up at the gas

840
00:41:41,800 --> 00:41:45,360
Speaker 2: station buying a lotto tickets like, yeah, you know it's

841
00:41:45,400 --> 00:41:48,800
Speaker 2: this is this is my shot. It's that that same energy,

842
00:41:49,680 --> 00:41:52,320
Speaker 2: and then you know there's a lot of sophisticated scammers

843
00:41:52,360 --> 00:41:57,120
Speaker 2: out of there. Is definitely definitely part of it. And yeah,

844
00:41:57,200 --> 00:41:59,799
Speaker 2: I think I think that we have a responsibility as

845
00:42:00,000 --> 00:42:02,960
Speaker 2: society to at the very least try to regulate and

846
00:42:03,000 --> 00:42:05,440
Speaker 2: protect people from the most overt scams and try to

847
00:42:05,480 --> 00:42:08,120
Speaker 2: make them whole when they are scammed, rather than just

848
00:42:08,160 --> 00:42:10,280
Speaker 2: being like, oh, well, you're an idiot and you shouldn't

849
00:42:10,280 --> 00:42:13,160
Speaker 2: have gotten scammed, you know, because sometimes these things can

850
00:42:13,200 --> 00:42:16,160
Speaker 2: be very sophistic and be targeted at any number of

851
00:42:16,280 --> 00:42:19,719
Speaker 2: vulnerable groups who can be manipulated into thinking that this

852
00:42:19,840 --> 00:42:20,759
Speaker 2: is their right shot.

853
00:42:20,840 --> 00:42:23,239
Speaker 1: But even when it's regulated like lotto, they have to

854
00:42:23,280 --> 00:42:25,400
Speaker 1: tell you the odds, right, how many people when I

855
00:42:25,440 --> 00:42:27,480
Speaker 1: go to seven eleven to go buy a big gulp

856
00:42:27,560 --> 00:42:29,879
Speaker 1: die coke, by the way, how many people are right

857
00:42:29,920 --> 00:42:33,000
Speaker 1: next to me buying these scratch off lotto tickets. They

858
00:42:33,040 --> 00:42:35,160
Speaker 1: know the odds and they still play it. Yeah, I

859
00:42:35,239 --> 00:42:37,000
Speaker 1: just don't. If you ever come into a Union station

860
00:42:37,239 --> 00:42:39,879
Speaker 1: here in DC, they have a DC Lotto store, the

861
00:42:39,920 --> 00:42:42,320
Speaker 1: line is out the door. For people who are purchasing

862
00:42:42,360 --> 00:42:43,400
Speaker 1: these things, I don't know.

863
00:42:43,400 --> 00:42:45,840
Speaker 2: Man, at least those usually go to fund like education

864
00:42:45,920 --> 00:42:48,600
Speaker 2: in the state. Okay, you got to make likes. You

865
00:42:48,600 --> 00:42:49,960
Speaker 2: think the rich people richerd.

866
00:42:49,960 --> 00:42:52,239
Speaker 1: But think about how disgusting that is that Like here

867
00:42:52,280 --> 00:42:54,440
Speaker 1: in the city of Washington, if you bet line out

868
00:42:54,480 --> 00:42:56,319
Speaker 1: the door, half the guys are homeless. Okay, I mean

869
00:42:56,600 --> 00:42:59,040
Speaker 1: they're the ones who are paying for it so people

870
00:42:59,080 --> 00:42:59,680
Speaker 1: can go to school.

871
00:43:00,120 --> 00:43:02,200
Speaker 2: Your No, I agree with. I mean, it is a

872
00:43:02,280 --> 00:43:04,640
Speaker 2: tax on them poor, and that's why I think there

873
00:43:04,640 --> 00:43:07,520
Speaker 2: should be a lot of protections in place. But I mean,

874
00:43:07,560 --> 00:43:09,560
Speaker 2: do you have the same, Like do you think sports

875
00:43:09,560 --> 00:43:12,040
Speaker 2: gambling should be banned? No?

876
00:43:12,160 --> 00:43:14,040
Speaker 1: I think I don't think sports gambling online should be

877
00:43:14,120 --> 00:43:14,680
Speaker 1: legal period.

878
00:43:14,840 --> 00:43:16,840
Speaker 2: I don't think you don't think it should be legal.

879
00:43:16,960 --> 00:43:19,920
Speaker 1: No sports gambling online? So like the difference is that,

880
00:43:20,040 --> 00:43:21,959
Speaker 1: Look for vice, I have come to the terms. People

881
00:43:21,960 --> 00:43:23,439
Speaker 1: are going to do it. There's nothing you can get around.

882
00:43:23,560 --> 00:43:25,480
Speaker 1: You should have to go to a casino. A lot

883
00:43:25,520 --> 00:43:28,319
Speaker 1: of the in the UK and elsewhere they have like

884
00:43:28,400 --> 00:43:31,919
Speaker 1: physical shops in people's neighborhoods where you have to go

885
00:43:32,000 --> 00:43:34,359
Speaker 1: to place your bet. And one of the reasons why

886
00:43:34,520 --> 00:43:37,600
Speaker 1: is that online. First of all, the actual products that

887
00:43:37,640 --> 00:43:41,600
Speaker 1: are sold to people online are the most degenerate, like

888
00:43:41,880 --> 00:43:43,640
Speaker 1: horrible financial products that exist.

889
00:43:43,880 --> 00:43:45,960
Speaker 2: So you are but so you are in favor of

890
00:43:46,000 --> 00:43:47,400
Speaker 2: some level of protection from people.

891
00:43:48,840 --> 00:43:50,680
Speaker 1: I mean, but they don't want it. If you put

892
00:43:50,719 --> 00:43:53,000
Speaker 1: that on the ballot, it would go down by eighty percent.

893
00:43:53,080 --> 00:43:54,760
Speaker 1: People love on the phone.

894
00:43:54,800 --> 00:43:57,360
Speaker 2: I mean, but so, I mean, I'm just trying to

895
00:43:57,360 --> 00:43:59,680
Speaker 2: see what if the position is consistent here. So when

896
00:43:59,680 --> 00:44:01,080
Speaker 2: it comes to sports gambling, you want to have some

897
00:44:01,200 --> 00:44:02,839
Speaker 2: level of protection people can't do it on their own

898
00:44:02,960 --> 00:44:05,960
Speaker 2: right when it comes to like crypto gambling, which I

899
00:44:05,960 --> 00:44:07,120
Speaker 2: think is the same.

900
00:44:07,760 --> 00:44:10,160
Speaker 1: I'm pro regulation on a lot of this stuff. My

901
00:44:10,239 --> 00:44:13,719
Speaker 1: point is just that I feel at a complete resignation

902
00:44:14,160 --> 00:44:16,480
Speaker 1: of the fact is is that every single time this

903
00:44:16,560 --> 00:44:19,280
Speaker 1: comes to a test of the Vox popular Life, people

904
00:44:19,400 --> 00:44:22,439
Speaker 1: don't want more regulation. They want to be able to do,

905
00:44:22,640 --> 00:44:23,879
Speaker 1: you know, whatever they want.

906
00:44:23,960 --> 00:44:26,120
Speaker 2: I don't know about that. Soccer, I really don't know

907
00:44:26,160 --> 00:44:28,640
Speaker 2: about that because I don't think people want to just

908
00:44:28,680 --> 00:44:30,759
Speaker 2: be like fed to the wolves. You know, I think

909
00:44:30,760 --> 00:44:33,160
Speaker 2: they want their shot. I think, yes, they want to

910
00:44:33,160 --> 00:44:34,560
Speaker 2: be able to have that dream. And then it also

911
00:44:34,640 --> 00:44:38,320
Speaker 2: gets a deeper, like you know, social conversation similar to

912
00:44:38,320 --> 00:44:40,160
Speaker 2: the one we were having before, about how much of

913
00:44:40,200 --> 00:44:43,480
Speaker 2: our social contract here is centered around like consumption and

914
00:44:43,520 --> 00:44:46,680
Speaker 2: what that means, and also how difficult it is here

915
00:44:46,800 --> 00:44:49,799
Speaker 2: to be able to just like achieve a basic you know,

916
00:44:49,840 --> 00:44:54,520
Speaker 2: stability and like things like healthcare, and that contributes to

917
00:44:54,520 --> 00:44:56,719
Speaker 2: the sense of desperation that leads you to take what

918
00:44:56,760 --> 00:44:58,840
Speaker 2: would seemingly be irrational risks.

919
00:44:58,880 --> 00:45:01,400
Speaker 1: Maybe, Yeah, certainly, this is a much deeper thing. I

920
00:45:01,440 --> 00:45:03,560
Speaker 1: will do my magnum opus. I'm gonna ride it. It's

921
00:45:03,560 --> 00:45:06,120
Speaker 1: gonna be like thirty forty minutes long. At this point,

922
00:45:06,160 --> 00:45:08,120
Speaker 1: I've been thinking about it a lot. But you know,

923
00:45:08,320 --> 00:45:10,400
Speaker 1: just to give you an example, sorry to monopolize this,

924
00:45:10,440 --> 00:45:12,640
Speaker 1: I went on the Matt and Shane podcast, right, and

925
00:45:12,719 --> 00:45:15,520
Speaker 1: this is the Ultimate bro podcast, and I use it

926
00:45:15,560 --> 00:45:18,759
Speaker 1: intentionally as a platform to speak against the dangers of

927
00:45:18,800 --> 00:45:23,040
Speaker 1: weed and of gambling. I have never received more hate

928
00:45:23,120 --> 00:45:23,880
Speaker 1: in my life.

929
00:45:23,960 --> 00:45:25,280
Speaker 2: Yeah, but then the audience.

930
00:45:25,719 --> 00:45:27,600
Speaker 1: But that's why I did it. I did it with

931
00:45:27,719 --> 00:45:29,880
Speaker 1: that purpose. Is I wanted to go into the Lions

932
00:45:29,920 --> 00:45:31,600
Speaker 1: then yeah, and just be like, look, you're never gonna

933
00:45:31,600 --> 00:45:34,000
Speaker 1: hear this from anybody else, at least in the circles

934
00:45:34,200 --> 00:45:37,440
Speaker 1: that you people. Oh just oh, this is the fun police,

935
00:45:37,960 --> 00:45:41,279
Speaker 1: buzz Killington and all of it. It's like, okay, it's

936
00:45:41,320 --> 00:45:43,880
Speaker 1: like if if if your version of fun is coming

937
00:45:43,920 --> 00:45:47,200
Speaker 1: home from work from an underpaid job, pissing your money

938
00:45:47,200 --> 00:45:50,279
Speaker 1: away on alcohol and then getting on your phone to

939
00:45:50,400 --> 00:45:52,839
Speaker 1: watch the game and then throwing even more of your

940
00:45:52,840 --> 00:45:55,000
Speaker 1: money away on parlay bets, like what can I do

941
00:45:55,080 --> 00:45:57,319
Speaker 1: for you at a certain and then getting mad by

942
00:45:57,400 --> 00:46:01,400
Speaker 1: telling you you are losing money, you are wasting it away,

943
00:46:01,480 --> 00:46:05,000
Speaker 1: you are taking away your chances to build a better life.

944
00:46:05,120 --> 00:46:06,719
Speaker 1: I don't know. At a certain point, I don't know

945
00:46:06,760 --> 00:46:08,799
Speaker 1: what to do a response I got to that it

946
00:46:08,840 --> 00:46:11,600
Speaker 1: was shocking, it was hilarious. I mean, it is funny.

947
00:46:11,719 --> 00:46:13,480
Speaker 1: I'll be fine, you keep doing what you want to do.

948
00:46:13,760 --> 00:46:16,359
Speaker 1: But it's one of those where I don't know what

949
00:46:16,560 --> 00:46:18,719
Speaker 1: at a certain point, how can you help people who

950
00:46:18,960 --> 00:46:21,640
Speaker 1: actively want to participate in their own distruction?

951
00:46:21,719 --> 00:46:25,400
Speaker 2: But it's so like, I mean, these companies, they spend

952
00:46:25,440 --> 00:46:28,800
Speaker 2: so much money researching like how to tap into these

953
00:46:28,840 --> 00:46:32,839
Speaker 2: deep human inclinations I know, and manipulate you. I mean,

954
00:46:32,840 --> 00:46:35,080
Speaker 2: it's very similar with like, you know, the way that

955
00:46:35,120 --> 00:46:39,719
Speaker 2: everything's gamified and algorithmically generated on the phone, and how

956
00:46:39,719 --> 00:46:41,880
Speaker 2: impossible it feels as a parent to be able to

957
00:46:41,920 --> 00:46:44,759
Speaker 2: like pull your kids away from the concert. It's the

958
00:46:44,880 --> 00:46:48,560
Speaker 2: same like systems of dopamine that are just being manipulated

959
00:46:48,600 --> 00:46:52,239
Speaker 2: by these companies. So I don't know, I have like

960
00:46:52,360 --> 00:46:55,480
Speaker 2: I don't really get it myself. Gambling isn't something that

961
00:46:55,960 --> 00:46:58,520
Speaker 2: has a poll for me, but I know enough people

962
00:46:58,600 --> 00:47:01,680
Speaker 2: who for whom it it really does, had that pull,

963
00:47:01,760 --> 00:47:03,719
Speaker 2: and I have a lot of empathy for that.

964
00:47:03,760 --> 00:47:05,840
Speaker 1: I'm open about it. I like to go to casino

965
00:47:05,880 --> 00:47:07,759
Speaker 1: and amble. I have set limits and all these other

966
00:47:07,800 --> 00:47:09,560
Speaker 1: things around it. But you know what's so important about it.

967
00:47:09,680 --> 00:47:12,440
Speaker 1: You have to go physically. You have to be around

968
00:47:12,480 --> 00:47:15,240
Speaker 1: by the way other real degenerates. When you see people

969
00:47:15,320 --> 00:47:17,640
Speaker 1: who haven't showered in three days, seeing that is really

970
00:47:17,680 --> 00:47:19,120
Speaker 1: important because you're like, oh my god, I'm want to

971
00:47:19,160 --> 00:47:21,040
Speaker 1: end up like this person. But when you're on your phone,

972
00:47:21,080 --> 00:47:23,400
Speaker 1: you're the sucker. That's the thing. They don't tell you.

973
00:47:23,400 --> 00:47:25,839
Speaker 1: You have no idea how many other suckers that are

974
00:47:25,840 --> 00:47:28,240
Speaker 1: out there on top of you just talked about the algorithm.

975
00:47:28,400 --> 00:47:31,720
Speaker 1: It's very true. They use it specifically, like exactly imagine

976
00:47:31,880 --> 00:47:36,839
Speaker 1: Facebook adification applied to gambling. I mean the things that

977
00:47:36,880 --> 00:47:40,200
Speaker 1: the DraftKings and FANDU will get away with. They dream

978
00:47:40,480 --> 00:47:42,960
Speaker 1: in Las Vegas of being able to get away with

979
00:47:43,080 --> 00:47:46,279
Speaker 1: the quote unquote hold of what they do, except it

980
00:47:46,320 --> 00:47:49,480
Speaker 1: happens every day on the couch. I mean, I've talked

981
00:47:49,480 --> 00:47:54,920
Speaker 1: about this before. New Jersey betters lost two hundred million

982
00:47:55,080 --> 00:47:59,920
Speaker 1: in a single month betting online casino games on their phone. Total,

983
00:48:00,160 --> 00:48:02,839
Speaker 1: they lost about five hundred million in the month of

984
00:48:02,880 --> 00:48:06,400
Speaker 1: September just gambling. New Jersey is not a big state.

985
00:48:06,560 --> 00:48:09,880
Speaker 1: That is, it's like a giant suck hole, like like

986
00:48:10,680 --> 00:48:14,000
Speaker 1: of wealth predominantly from the least you know, what is

987
00:48:14,040 --> 00:48:17,719
Speaker 1: it from the least affluent part of society, Like I

988
00:48:17,719 --> 00:48:19,680
Speaker 1: don't know, you know, at a certain point, it just

989
00:48:20,400 --> 00:48:21,479
Speaker 1: we could talk about this more.

990
00:48:21,719 --> 00:48:24,279
Speaker 2: Yeah, little well, I just I would just actually I

991
00:48:24,320 --> 00:48:26,520
Speaker 2: actually think the idea of you have to go to

992
00:48:26,560 --> 00:48:28,640
Speaker 2: the casine. I don't think that's a bad idea. I'm

993
00:48:28,719 --> 00:48:31,200
Speaker 2: kind of open. I'm like a little ambivalent because I

994
00:48:31,200 --> 00:48:32,480
Speaker 2: got to think about it a little bit more, but

995
00:48:32,520 --> 00:48:34,560
Speaker 2: I'm kind of open to that. I just you know,

996
00:48:34,680 --> 00:48:37,279
Speaker 2: I also I feel a similar way about Like I

997
00:48:37,280 --> 00:48:40,920
Speaker 2: don't feel any different about crypto betting and gambling than

998
00:48:40,920 --> 00:48:43,120
Speaker 2: I do about online sports betting. I think it taps

999
00:48:43,160 --> 00:48:45,359
Speaker 2: into the exact same thing, which is why I think

1000
00:48:45,400 --> 00:48:47,480
Speaker 2: it was important what Gary Kensler was doing, just to

1001
00:48:47,520 --> 00:48:52,200
Speaker 2: bring it back to where we started conversation. So let's yeah, indeed,

1002
00:48:53,400 --> 00:48:58,319
Speaker 2: we're gonna save the Trump billionaire cabinet conversation for I

1003
00:48:58,360 --> 00:49:00,120
Speaker 2: will hold that for one for next and maybe I'll

1004
00:49:00,120 --> 00:49:02,960
Speaker 2: do a monologue about it. But in any case, there's

1005
00:49:03,000 --> 00:49:05,359
Speaker 2: a lot of billionaires in Trump's cabinet, and that's something

1006
00:49:05,400 --> 00:49:07,480
Speaker 2: that we should be thinking about and what their influence

1007
00:49:07,520 --> 00:49:09,600
Speaker 2: is going to be. Elon Musk being the most important,

1008
00:49:09,640 --> 00:49:12,000
Speaker 2: you know example there, since he's literally the richest man

1009
00:49:12,040 --> 00:49:17,040
Speaker 2: on earth. Let's go ahead and move over to the

1010
00:49:17,200 --> 00:49:20,840
Speaker 2: democratic side of the equation, though here with Rama Manuel,

1011
00:49:20,960 --> 00:49:24,359
Speaker 2: who you know, extremely important in the Obama era, but

1012
00:49:24,440 --> 00:49:27,080
Speaker 2: really with this guy, you could go back to any

1013
00:49:27,160 --> 00:49:30,360
Speaker 2: number of democratic crimes that were committed against this country,

1014
00:49:30,400 --> 00:49:33,760
Speaker 2: including Naviga was important advisor under Bill Clinton as well,

1015
00:49:34,040 --> 00:49:37,560
Speaker 2: and you can find Rama Manuel there. There's all kinds

1016
00:49:37,600 --> 00:49:40,560
Speaker 2: of stories about him during the Obama administration. Apparently he

1017
00:49:40,600 --> 00:49:44,319
Speaker 2: did not want Obama to try to reform healthcare at all.

1018
00:49:45,320 --> 00:49:48,680
Speaker 2: He pushed against that. He famously, you know, we went

1019
00:49:48,719 --> 00:49:51,560
Speaker 2: out and recruited all these quote unquote like moderates, neo

1020
00:49:51,640 --> 00:49:54,239
Speaker 2: liberals who were very pro corporate. That was his whole

1021
00:49:54,280 --> 00:49:58,440
Speaker 2: orientation when he was, you know, running effectively running the party.

1022
00:49:58,840 --> 00:50:03,080
Speaker 2: And so now he is, he's actually ambassador to Japan's

1023
00:50:03,120 --> 00:50:06,640
Speaker 2: where the Biden administration stuck him after being mayor of Chicago.

1024
00:50:06,760 --> 00:50:10,319
Speaker 2: Very controversial tenure as mayor of Chicago, and now he

1025
00:50:10,400 --> 00:50:13,080
Speaker 2: has come back out of the wilderness, so to speak.

1026
00:50:13,480 --> 00:50:17,600
Speaker 2: David Axod floated him for d NC chair. He's already

1027
00:50:17,640 --> 00:50:20,040
Speaker 2: sort of rolled down. He doesn't want that particular position,

1028
00:50:20,360 --> 00:50:23,440
Speaker 2: but he's clearly trying to position himself as an important

1029
00:50:23,520 --> 00:50:27,520
Speaker 2: voice in the party going forward and probably for some

1030
00:50:27,920 --> 00:50:31,680
Speaker 2: new elected position. So he went on CNN and he

1031
00:50:31,960 --> 00:50:35,520
Speaker 2: made some of the most extraordinary comments, given his own

1032
00:50:35,600 --> 00:50:43,040
Speaker 2: complicity in the rage that this country justifiably feels about

1033
00:50:43,080 --> 00:50:45,279
Speaker 2: both the lack of accountability on the Iraq War and

1034
00:50:45,320 --> 00:50:48,840
Speaker 2: the lack of accountability with regard to the financial collapse.

1035
00:50:49,080 --> 00:50:50,919
Speaker 2: Let's take a listen to what he had to say.

1036
00:50:51,280 --> 00:50:55,440
Speaker 5: In Iraq War, which American people were deceived, spent two

1037
00:50:55,440 --> 00:50:58,480
Speaker 5: millions of dollars, thousands of soldiers lost their lives, people

1038
00:50:58,600 --> 00:51:01,920
Speaker 5: named for life were deceived and led into a war,

1039
00:51:02,239 --> 00:51:05,759
Speaker 5: and not one person responsible for that deception ever was

1040
00:51:05,800 --> 00:51:10,360
Speaker 5: held accountable. Six years later, the financial industry lies to

1041
00:51:10,400 --> 00:51:14,840
Speaker 5: the American people. People lose their homes, their livelihood, and

1042
00:51:14,880 --> 00:51:16,560
Speaker 5: the bankers are screaming for their bonuses.

1043
00:51:17,200 --> 00:51:18,360
Speaker 1: Nobody held accountable.

1044
00:51:18,640 --> 00:51:23,000
Speaker 2: He's right, but rom who was going to hold them accountable?

1045
00:51:23,560 --> 00:51:27,000
Speaker 2: You were chief of staff to Barack Obama when the

1046
00:51:27,080 --> 00:51:31,680
Speaker 2: decision to not hold these people accountable when those all occurred,

1047
00:51:31,800 --> 00:51:34,520
Speaker 2: whether it was the Iraq War or whether it was

1048
00:51:34,600 --> 00:51:38,319
Speaker 2: the scamming, the mass scamming, we're just talking about this

1049
00:51:38,440 --> 00:51:41,439
Speaker 2: on Wall Street of ordinary people that led to ten

1050
00:51:41,520 --> 00:51:44,680
Speaker 2: million homeowners being kicked out of their homes in a

1051
00:51:44,760 --> 00:51:48,959
Speaker 2: near global economic collapse and catastrophe which we are still

1052
00:51:49,000 --> 00:51:51,879
Speaker 2: recovering from, by the way, and which has created the

1053
00:51:52,040 --> 00:51:55,200
Speaker 2: entire political era that we live in right now. So

1054
00:51:55,320 --> 00:51:57,440
Speaker 2: for him to go on CNN Socer and just like

1055
00:51:57,920 --> 00:52:01,600
Speaker 2: you know, be able to correctly identify the problem and

1056
00:52:01,680 --> 00:52:05,239
Speaker 2: absolve himself of any blame or complicity on This is

1057
00:52:05,400 --> 00:52:09,360
Speaker 2: really quite extraordinary, and it's also very clear what he's

1058
00:52:09,400 --> 00:52:11,680
Speaker 2: doing because you have to say some of these things

1059
00:52:11,719 --> 00:52:13,959
Speaker 2: at this point, it's just undeniable. You have to say

1060
00:52:13,960 --> 00:52:14,480
Speaker 2: some of these things.

1061
00:52:14,600 --> 00:52:16,080
Speaker 1: But it's Fife twenty years too late.

1062
00:52:16,360 --> 00:52:19,720
Speaker 2: Well, yes, that, but also it's an attempt to rehab

1063
00:52:19,960 --> 00:52:23,440
Speaker 2: himself and his political project. The very people who made

1064
00:52:23,440 --> 00:52:28,400
Speaker 2: these disastrous and evil ultimately decisions at the time to

1065
00:52:28,560 --> 00:52:32,800
Speaker 2: rehab them and pretend like they were not themselves the problem.

1066
00:52:33,000 --> 00:52:35,520
Speaker 1: Yeah, and David Sirota makes a good point. Let's put

1067
00:52:35,520 --> 00:52:38,160
Speaker 1: that one up on the screen from C two about

1068
00:52:38,680 --> 00:52:42,200
Speaker 1: Ram Emmanuel saying, quote, it's the corruption stupid and you

1069
00:52:42,200 --> 00:52:45,080
Speaker 1: can see here former mayor Rom Emmanuel spend six hundred

1070
00:52:45,080 --> 00:52:49,000
Speaker 1: thousand dollars on sendoffs for himself weighing quote third term

1071
00:52:49,000 --> 00:52:52,640
Speaker 1: Emmanuel relies on campaign donors who get city hall benefits.

1072
00:52:52,640 --> 00:52:57,520
Speaker 1: Emmanuel was the quintessential Wall Street Democrat. I actually really

1073
00:52:57,560 --> 00:53:01,080
Speaker 1: recommend people go and read some early histories of the

1074
00:53:01,120 --> 00:53:03,560
Speaker 1: Obama era because rom is probably one of the most

1075
00:53:03,600 --> 00:53:07,800
Speaker 1: important people in that and he embodied the Clintonian machine.

1076
00:53:07,880 --> 00:53:10,879
Speaker 1: He worked for Bill Clinton and for Hillary Clinton. He

1077
00:53:10,920 --> 00:53:13,560
Speaker 1: was a bundler. He comes from a very powerful family.

1078
00:53:13,640 --> 00:53:16,880
Speaker 1: His brother Ari Emanuel is he's like the biggest superagent

1079
00:53:16,920 --> 00:53:20,360
Speaker 1: in Hollywood. He's like a he's like a billionaire, you know,

1080
00:53:20,400 --> 00:53:23,239
Speaker 1: head of wm E, etcetera. But the point is the.

1081
00:53:23,239 --> 00:53:24,840
Speaker 2: Other brother very involved in healthcare.

1082
00:53:25,040 --> 00:53:26,520
Speaker 1: Yeah, I was gonna say, so his other brother, what's

1083
00:53:26,520 --> 00:53:29,759
Speaker 1: his name, Zeke? I think seek Emmanuel is Uh. I

1084
00:53:29,800 --> 00:53:32,279
Speaker 1: think he was the head of CMS or something like that.

1085
00:53:32,440 --> 00:53:35,720
Speaker 1: One of the most powerful people in American healthcare. These people,

1086
00:53:36,320 --> 00:53:40,800
Speaker 1: in particular Rom I mean, embodied the Terry mccaulliffe ideal

1087
00:53:41,160 --> 00:53:44,520
Speaker 1: of like wheeling and dealing and raising big money. I

1088
00:53:44,560 --> 00:53:47,480
Speaker 1: once saw big Terry in action at the Palm, and

1089
00:53:47,520 --> 00:53:51,040
Speaker 1: I've never seen anybody in more at home in Washington

1090
00:53:52,239 --> 00:53:57,000
Speaker 1: handing r machine.

1091
00:53:57,000 --> 00:53:58,000
Speaker 2: He loves to work a room.

1092
00:53:58,640 --> 00:54:01,520
Speaker 1: He's a fundraising machine. He live there. I asked, They're like, oh, yeah,

1093
00:54:01,520 --> 00:54:03,919
Speaker 1: this guy. This is regular table here at the Palm

1094
00:54:04,000 --> 00:54:06,080
Speaker 1: here in Washington, which is like a god, I don't

1095
00:54:06,080 --> 00:54:07,560
Speaker 1: even know. It's not even that great of a restaurant.

1096
00:54:07,640 --> 00:54:11,959
Speaker 1: It's fine. But anyway, that's the tradition that he comes

1097
00:54:11,960 --> 00:54:14,799
Speaker 1: from and the background in the ninety two campaign, and

1098
00:54:14,840 --> 00:54:17,640
Speaker 1: he was built up by the Clintons. So Obama really

1099
00:54:17,680 --> 00:54:20,480
Speaker 1: picked him because he wanted a wheeler dealer kind of

1100
00:54:20,520 --> 00:54:23,560
Speaker 1: Chicago connection as well to be there and lo and behold,

1101
00:54:23,680 --> 00:54:26,240
Speaker 1: look at the decisions that were made, you know, both

1102
00:54:26,320 --> 00:54:29,920
Speaker 1: in advisory over healthcare, but actually even more importantly it

1103
00:54:29,960 --> 00:54:33,160
Speaker 1: is about bailouts and about the general political direction of

1104
00:54:33,239 --> 00:54:35,960
Speaker 1: the Obama administration on Iraq as well. I mean, he

1105
00:54:36,080 --> 00:54:38,720
Speaker 1: was the chief of staff to Barack Obama when Obama

1106
00:54:38,800 --> 00:54:42,040
Speaker 1: decided the half ass maneuvers in Afghanistan, the surge, and

1107
00:54:42,080 --> 00:54:45,560
Speaker 1: then the nonser I mean, everything that happened under that administration.

1108
00:54:45,960 --> 00:54:48,800
Speaker 2: If you wanted to pinpoint, if you wanted to blame

1109
00:54:48,840 --> 00:54:52,480
Speaker 2: on one person, why Obama goes from running on change

1110
00:54:52,480 --> 00:54:55,239
Speaker 2: and being a different sort of politician to just being

1111
00:54:55,239 --> 00:54:58,120
Speaker 2: a continuation of the Clinton era. Like Rama Manual would

1112
00:54:58,120 --> 00:55:00,000
Speaker 2: be a good person to situate that, I would just

1113
00:55:00,719 --> 00:55:04,040
Speaker 2: I mean, yes, of course, ultimately, but you know, this

1114
00:55:04,080 --> 00:55:05,520
Speaker 2: is the guy who was the chief of staff, so

1115
00:55:05,560 --> 00:55:08,040
Speaker 2: he's involved in all of the staffing decisions, the you know,

1116
00:55:08,160 --> 00:55:11,000
Speaker 2: direction the administration, like he is at the scene of

1117
00:55:11,040 --> 00:55:13,040
Speaker 2: the crime on all of the bad decisions that were

1118
00:55:13,040 --> 00:55:15,319
Speaker 2: made in the Obama administration. So for him to come

1119
00:55:15,320 --> 00:55:17,160
Speaker 2: out and be like, you know what, people should have

1120
00:55:17,200 --> 00:55:20,560
Speaker 2: been held account was like, Oh, yeah, you think where

1121
00:55:20,600 --> 00:55:23,560
Speaker 2: were you when people during the Obama administration were not

1122
00:55:23,640 --> 00:55:26,120
Speaker 2: being held accountable? Oh, that's right, you were in one

1123
00:55:26,160 --> 00:55:28,640
Speaker 2: of the most powerful and influential positions in the entire

1124
00:55:28,760 --> 00:55:31,800
Speaker 2: United States government. I do want to say, in fairness

1125
00:55:31,800 --> 00:55:35,760
Speaker 2: to as Recline, I read the transcript of the entire

1126
00:55:36,120 --> 00:55:38,800
Speaker 2: podcast that he did with Rom Emmanuel, and he actually

1127
00:55:38,880 --> 00:55:42,319
Speaker 2: raises a good number of these points with Rom, and

1128
00:55:42,680 --> 00:55:48,280
Speaker 2: Rom totally tries to reinvent history for himself and position

1129
00:55:48,440 --> 00:55:50,680
Speaker 2: himself as like, well, I was there behind the scenes

1130
00:55:50,719 --> 00:55:54,879
Speaker 2: saying that we need some quote Old Testament justice, that

1131
00:55:54,880 --> 00:55:57,600
Speaker 2: that's what we need in this moment. But he goes

1132
00:55:57,640 --> 00:56:00,960
Speaker 2: on to say not even in the form of it's

1133
00:56:01,040 --> 00:56:03,160
Speaker 2: kind of a slight of hand here because he says

1134
00:56:03,320 --> 00:56:07,080
Speaker 2: we need some Old Testament justice when it comes to reform.

1135
00:56:07,560 --> 00:56:09,040
Speaker 2: But you know, this was not someone who was for

1136
00:56:09,120 --> 00:56:11,640
Speaker 2: breaking up the big banks. And even in this rehap,

1137
00:56:11,719 --> 00:56:13,440
Speaker 2: he doesn't say that any of these bankers should have

1138
00:56:13,440 --> 00:56:15,600
Speaker 2: gone to prison. He's just saying like, oh, we should

1139
00:56:15,600 --> 00:56:18,000
Speaker 2: have had we should have been more aggressive about how

1140
00:56:18,000 --> 00:56:21,480
Speaker 2: we messaged about reform. Basically is his take here. So

1141
00:56:21,920 --> 00:56:23,879
Speaker 2: I don't know what he has planned. We can put

1142
00:56:23,880 --> 00:56:27,560
Speaker 2: this up on the screen the Chicago sometimes say he's

1143
00:56:27,719 --> 00:56:30,879
Speaker 2: ruled out being DNC chair, but as far from done

1144
00:56:30,960 --> 00:56:33,440
Speaker 2: with politics, do you think this man? I think he

1145
00:56:33,520 --> 00:56:35,560
Speaker 2: might have the arrogance to think he could run for president.

1146
00:56:35,640 --> 00:56:37,000
Speaker 1: Oh definitely, because the.

1147
00:56:37,000 --> 00:56:41,920
Speaker 2: Other logical thing would be governor of Illinois. JB. Pritzker

1148
00:56:42,120 --> 00:56:44,960
Speaker 2: is already in there, and I think he can run

1149
00:56:45,000 --> 00:56:47,160
Speaker 2: for reelection again, and I think is planning to. And

1150
00:56:47,239 --> 00:56:50,000
Speaker 2: rom has already said he'll be one hundred percent behind JB.

1151
00:56:50,120 --> 00:56:53,680
Speaker 2: Pritzker were he to run for governor again. But maybe

1152
00:56:53,680 --> 00:56:55,680
Speaker 2: that's what he has in mind, is that governor cee

1153
00:56:55,719 --> 00:56:57,760
Speaker 2: baby JB is thinking he's going to run for president.

1154
00:56:57,800 --> 00:57:00,120
Speaker 2: I don't know, but you definitely have not heard the

1155
00:57:00,200 --> 00:57:01,960
Speaker 2: last of ram A manuals.

1156
00:57:02,120 --> 00:57:04,160
Speaker 1: He never gave up. By the way, it's funny, I

1157
00:57:04,239 --> 00:57:06,840
Speaker 1: just came from Japan. He pissed a lot of people

1158
00:57:06,880 --> 00:57:09,400
Speaker 1: off in Japan. Oh really, as our ambassador, Yeah, he

1159
00:57:09,400 --> 00:57:13,719
Speaker 1: did some social meddling over there where. It's it's complicated,

1160
00:57:13,719 --> 00:57:16,880
Speaker 1: but basically they were there debating gay marriage in Japan,

1161
00:57:16,960 --> 00:57:19,920
Speaker 1: and Rama Manuel tried to insert himself and he actually

1162
00:57:19,920 --> 00:57:22,600
Speaker 1: tried to like pursue like a big media profile. It

1163
00:57:22,640 --> 00:57:26,040
Speaker 1: actually caused like a major diplomatic incident in the country

1164
00:57:26,240 --> 00:57:27,960
Speaker 1: in general. From what I heard when I was at Tokyo,

1165
00:57:28,000 --> 00:57:30,560
Speaker 1: he's not one of the most well liked ambassadors to

1166
00:57:30,560 --> 00:57:32,600
Speaker 1: ever be in the country. It was actually weird that

1167
00:57:32,640 --> 00:57:35,280
Speaker 1: he decided to go over there at all, especially because

1168
00:57:35,640 --> 00:57:37,320
Speaker 1: maybe it was a decision by Biden to get him

1169
00:57:37,320 --> 00:57:38,800
Speaker 1: out of the country very very possible.

1170
00:57:38,880 --> 00:57:41,240
Speaker 2: Yeah, well, we were all, remember we were tracking closely

1171
00:57:41,240 --> 00:57:43,680
Speaker 2: at the beginning of the Biden administration, like, oh my god,

1172
00:57:43,760 --> 00:57:46,080
Speaker 2: they're going to bring Rama Manuel back because he was

1173
00:57:46,080 --> 00:57:48,880
Speaker 2: floated for a lot of like actually influential position. I mean,

1174
00:57:48,880 --> 00:57:51,480
Speaker 2: not to like downplay ambassador in Japan. I'm sure that's

1175
00:57:51,560 --> 00:57:53,640
Speaker 2: important blah blah blah, but it's not that influential in

1176
00:57:53,680 --> 00:57:56,800
Speaker 2: terns of unfortunate actual policy setting. So we were all

1177
00:57:56,840 --> 00:57:58,880
Speaker 2: kind of relieved. We're like, all right, fine and rams

1178
00:57:58,880 --> 00:58:00,880
Speaker 2: in Japan, let them deal with And my guess it's a.

1179
00:58:00,840 --> 00:58:03,200
Speaker 1: Side thing, but it's really sad. Actually, have you seen

1180
00:58:03,240 --> 00:58:04,920
Speaker 1: that show the diplomat I've only watched it now. This

1181
00:58:05,000 --> 00:58:07,400
Speaker 1: is terrible in my like, realistically, it's awful. I don't

1182
00:58:07,400 --> 00:58:09,200
Speaker 1: know about the actual plot. I just couldn't get over

1183
00:58:09,480 --> 00:58:11,880
Speaker 1: the differences. But the biggest conceit of the show is

1184
00:58:11,880 --> 00:58:16,440
Speaker 1: the idea that the ambassador matters and guys ambassadors have

1185
00:58:16,520 --> 00:58:18,720
Speaker 1: not mattered since Peple can pick up the phone and

1186
00:58:18,720 --> 00:58:20,919
Speaker 1: talk to each other, like ever since that red line

1187
00:58:21,040 --> 00:58:23,240
Speaker 1: or what was it the red phone between John F.

1188
00:58:23,280 --> 00:58:27,960
Speaker 1: Kennedy and Khrushchev that killed great ambassadorships. That's why billionaires

1189
00:58:28,000 --> 00:58:29,720
Speaker 1: love it because they get to go over there and

1190
00:58:29,800 --> 00:58:32,439
Speaker 1: just live in the official rent residence in Galivant around

1191
00:58:32,480 --> 00:58:34,680
Speaker 1: the country for like four years. But that's an aside.

1192
00:58:34,720 --> 00:58:37,280
Speaker 1: So anyway, the Diplomat fake show, completely fakeness.