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Speaker 1: Hey, guys, ready or not, twenty twenty four is here,

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Speaker 1: and we here at Breaking Points, are already thinking of

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Speaker 1: ways we can up our game for this critical election.

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Speaker 1: We rely on our premium subs to expand coverage, upgrade

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Speaker 1: the studio ad staff give you, guys, the best independent

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Speaker 1: coverage that is possible. If you like what we're all about,

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Speaker 1: it means the absolute world to have your support. What

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Speaker 1: are you waiting for? Become a premium subscriber today at

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Speaker 1: Breakingpoints dot Com. Good morning, everybody, Happy Monday. We have

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Speaker 1: an amazing show for everybody today. What do we have, Krystal? Indeed,

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Speaker 1: we do lots of interesting things that are happening this morning.

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Speaker 1: First and foremost the daily Biden document update. They found

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Speaker 1: even more documents. So where are with all of this?

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Speaker 1: How is the White House responding? Our Democrats dealing with this?

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Speaker 1: And what does the public think? We finally have a

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Speaker 1: little bit of pulling on that matter. Also, we are

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Speaker 1: increasingly moving towards a debt ceiling showdown. Treasury Secretary Janet

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Speaker 1: Yellen says this will certainly lead to catastrophe and a recession.

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Speaker 1: So we'll bring you the very latest there. We also

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Speaker 1: have some details about Trump's presidential run. Evangelical seemed to

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Speaker 1: be souring on him a bit new strophole from a

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Speaker 1: right to life group finding that DeSantis is now their

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Speaker 1: favorite candidate, so that is very interesting. We also wanted

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Speaker 1: to show you a chat GPT discussion between two AI

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Speaker 1: bots that will haunt your nightmares. I know it did mine.

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Speaker 1: And also, speaking of daily updates, the Daily George Santos,

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Speaker 1: he is now admitting that he did dress and drag,

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Speaker 1: but denying that he was a quote unquote drag queen, draggish,

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Speaker 1: drag ish. I guess yes the answer. I'm also excited

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Speaker 1: to have Jodah Furman on today. There were some statistics

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Speaker 1: that came out at the end of last week, very

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Speaker 1: disheartening for those of us who are labor advocates. The

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Speaker 1: union density number continued to fall. This is part of

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Speaker 1: a roughly forty year trend. So he's got some interesting

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Speaker 1: He really dug into the dat He's got some interesting

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Speaker 1: stats about exactly where the falls are ultimately coming from.

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Speaker 1: Spoiler alert, the fact that we decimated our entire manufacturing

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Speaker 1: sector not great for union densities. All right, so let's

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Speaker 1: start with the very latest in terms of the Biden

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Speaker 1: document saga, go ahead and put this up on the screen.

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Speaker 1: This is from CBS News. The FBI searched President Biden's

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Speaker 1: Delaware home Friday and located six more items containing classification markings.

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Speaker 1: Investigators also took possession of some of his notes, the

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Speaker 1: President's lawyer said on Saturday. They claim that the search

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Speaker 1: last about thirteen hours. The classification level and contents has

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Speaker 1: not been disclosed thus far. The Justice Department, they say, quote,

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Speaker 1: took possession of materials it deemed within the scope of

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Speaker 1: its inquiry, including six items consisting of documents with classification

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Speaker 1: markings and surrounding materials, some of which were from the

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Speaker 1: president service in the Senate and some of which were

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Speaker 1: from his tenure as Vice president. They also took some

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Speaker 1: of his personal notes. I guess that could contain classified

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Speaker 1: information that he had written down, so they're looking into

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Speaker 1: that as well. They described the search. I think this

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Speaker 1: word is kind of funny as consensual. So consent was given.

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Speaker 1: And I also find it amusing that they still hedge

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Speaker 1: about exactly how many documents has been found now Soccer

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Speaker 1: they've moved it up to since November between twenty five

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Speaker 1: and thirty, which you know, again, I don't know why

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Speaker 1: you can't just give an exact number here, but that's

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Speaker 1: part of the game that they're playing. And Biden told

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Speaker 1: reporters he has no regrets about the handling of the documents,

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Speaker 1: and when asked why the White House did not disclose

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Speaker 1: the existence in November for the midterm elections, he told

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Speaker 1: reporters he thinks they're going to find out. Quote, there's

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Speaker 1: no they're there. It's like, definitionally there is there there

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Speaker 1: because they found these documents now in multiple places, so

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Speaker 1: there is literally there there between twenty five just say

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Speaker 1: the number, is it twenty seven? Is it twenty nine?

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Speaker 1: If I had to guess, probably twenty nine. It's kind

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Speaker 1: of like when politicians list their net worth there like

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Speaker 1: anywhere between two hundred and fifty to five hundred and

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Speaker 1: fifty million. Right, Well, hold on a second, because there's

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Speaker 1: actually a big difference between the two. Look in terms

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Speaker 1: of the actual search itself, the fact that the media

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Speaker 1: treatment on this and we're going to talk about, yeah,

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Speaker 1: some of that is just I mean, look, this is

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Speaker 1: effectively it's not a raid like the mar Lago raid.

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Speaker 1: But when you have the FBI and the Department of

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Speaker 1: Justice snooping around the President of the United States is home.

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Speaker 1: It's a little bit of a problem also with respect

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Speaker 1: to where exactly these documents were stored. They're in the

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Speaker 1: most intimate places where President Biden spends his time, including

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Speaker 1: his home office. Now, again, if he was a current

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Speaker 1: president and they were documents related to his work, now

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Speaker 1: that would be one thing. These are documents that he

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Speaker 1: held when he was the vice president of the United States,

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Speaker 1: of which he had no declassification authority. Second, on the

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Speaker 1: garage itself, he claims it's where my corvette was, so

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Speaker 1: apparently it was what did he say, He's like, it's

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Speaker 1: not like they were sitting out on the street. Well,

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Speaker 1: we actually know from photo evidence that Hunter Biden himself

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Speaker 1: actually had access to said locker. So there were actually

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Speaker 1: unsavory characters, possibly street related, who were inside that car

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Speaker 1: the very least had access to the garage. And you know,

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Speaker 1: this isn't to denigrate Hunter himself, just to show you, like, look,

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Speaker 1: you did somebody not you did have access to that garage.

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Speaker 1: So it's not like it was a special compartmentalized facility

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Speaker 1: that was controlled entirely by the Secret Service. It was

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Speaker 1: wholly available to hunter Biden, who have no way he

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Speaker 1: would ever get a security clearance, and then you know,

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Speaker 1: maybe even his children or his grandchildren or cleaning stuff,

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Speaker 1: et cetera. So the point is that these were not

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Speaker 1: secure in any way. And then really what I'm troubled

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Speaker 1: by also is the actual content of the documents, because

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Speaker 1: all that we know right now is they were all

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Speaker 1: related to his foreign dealings and specifically Ukraine. I mean,

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Speaker 1: I think that sounds pretty important. Especially let's say, you know,

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Speaker 1: to Biden was the spearheaderer of an anti corruption move

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Speaker 1: in Ukraine from twenty fifteen. So does that mean he

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Speaker 1: had like details and documents relating to corruption inside of Ukraine.

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Speaker 1: Maybe some of those people are currently in charge of

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Speaker 1: Ukraine and we're called them heroes. Who knows. I mean,

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Speaker 1: the point is is that this is probably very sensitive stuff,

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Speaker 1: and I think that this is a big, big problem

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Speaker 1: for him. I'm meta takeaway is Trump is one of

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Speaker 1: the luckiest guys in the world. You are saying right

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Speaker 1: about they had an open and shutcase against Trump. I

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Speaker 1: think he was going down. I mean, and when I

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Speaker 1: say down, like I think he was going to get

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Speaker 1: that was at the very least indicting both are at

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Speaker 1: the end. Like our last shows that we were doing

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Speaker 1: the live shows, both of us made that prediction like

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Speaker 1: Trump's getting in dieted next year. Now, I don't know

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Speaker 1: its possible. I don't know. It's the landscape is a

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Speaker 1: lot different, and maybe you should you would say like, Okay,

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Speaker 1: it shouldn't matter what Biden did versus We all know

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Speaker 1: that these decisions are highly political. We know that these

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Speaker 1: officials at the Department of Justice are highly political. They

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Speaker 1: would not be in these high positions of power if

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Speaker 1: they were not. And we know that they are highly

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Speaker 1: attuned to the way that the public is going to

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Speaker 1: perceive any indictment against the former president who is now

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Speaker 1: running for president again. So listen, it is utter catastrophe

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Speaker 1: for the Biden as much as they want to try

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Speaker 1: to spin it, Ultimately this is you know, a terrible,

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Speaker 1: terrible look. And I think you're right on the media

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Speaker 1: treatment you know immediately, and I think justifiably so. When

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Speaker 1: these documents were seized from mar A Lago, the question

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Speaker 1: was like, my god, what was in these documents? And

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Speaker 1: also my god, who was around that could have potentially

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Speaker 1: seen them or access them or taken them or used them.

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Speaker 1: And with the Biden documents, there's a presumption of harmlessness.

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Speaker 1: There's a presumption that this isn't that big a deal.

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Speaker 1: There's a presumption that, like, whatever characters were in and

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Speaker 1: out of his house, I'm sure it was fine. We

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Speaker 1: actually don't have any public reporting on who may have

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Speaker 1: been at the house other than his own family. So

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Speaker 1: there is a very different presumption there ultimately about how

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Speaker 1: damaging the documents will be. And I think it is

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Speaker 1: a fair point that the media makes, like a thousand

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Speaker 1: times a day that Trump was more obstructive and Biden

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Speaker 1: has been cooperating. But listen, guys, the bottom line is

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Speaker 1: the core of the crime or the misdeed or whatever

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Speaker 1: you want to call it, is ultimately the same. Back

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Speaker 1: to the point of why the hell can't you just

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Speaker 1: say the number the number of documents, like you know,

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Speaker 1: you use example of these politicians who are like, my

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Speaker 1: wealth is between two hundred and fifty million and five

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Speaker 1: hundred and fifty million. Well, there is a big difference

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Speaker 1: between that is there ultimately a huge difference between twenty

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Speaker 1: five documents and thirty documents. Doesn't seem like the public

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Speaker 1: wouldsuspends which document the public is just looking at this

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Speaker 1: is like, well, this is a disaster and a mess,

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Speaker 1: but they weirdly will not come clean about exactly how

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Speaker 1: many documents have been found. This is a Biden spokesman

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Speaker 1: on MSNBC getting pressed on this very issue. Let's take

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Speaker 1: to listen. Can you give us a sense of how

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Speaker 1: many classified documents we are now talking about total across

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Speaker 1: all three locations. Sure, it's a good question, and it

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Speaker 1: actually the answer to it is a little bit complicated

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Speaker 1: because of this point that I'm making about the integrity

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Speaker 1: of an ongoing Justice Department investigation. The Justice Department is

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Speaker 1: going to be looking at all sorts of questions like

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Speaker 1: that throughout their investigation. We want to be very very

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Speaker 1: careful to be respectful of the integrity of that investigation,

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Speaker 1: to not speak too much about the underlying contents and materials,

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Speaker 1: especially things that we may not know all the answers.

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Speaker 1: It's actually not complicated. It's really not complicated at all.

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Speaker 1: How many documents you pull out of the house? Was five?

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Speaker 1: Was the same count to thirty? Yeah? And I love

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Speaker 1: there and this is their consistent line. Yeah, we're respecting

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Speaker 1: the integrity. It's a lot. That's why we can't tell

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Speaker 1: you anything about this. That's why we're still staying quiet

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Speaker 1: on it. It's because we have such respect for this investigation. Well,

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Speaker 1: Korean Jean Pierre actually got really called out on that.

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Speaker 1: I think this was from NBC News. Let's take a

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Speaker 1: listen to how that exchange went. We've all reached out

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Speaker 1: of the Department of Justice. A law enforcement official tells

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Speaker 1: NBC News the Justice Department has not told the White

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Speaker 1: House that it cannot talk about the facts underlying the

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Speaker 1: Special Council investigation into classified documents. So trusting you've received

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Speaker 1: that same information, understanding the desire to be prudent, then

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Speaker 1: why can't speak by the underlying facts. We've been very

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Speaker 1: clear when it comes to even underlying facts, when it

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Speaker 1: comes to specifics, when it comes to something that is

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Speaker 1: under the purview that is that the Department of Justice

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Speaker 1: is looking at, especially legal matters, investigations, we do not

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Speaker 1: comment from here, Peter. That has been consistent, consistent. Yeah, look,

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Speaker 1: it's a complete lie. And actually I have multiple friends

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Speaker 1: in the press corps who they parrotted this line over

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Speaker 1: and over again. That was actually Kareem Jean Pierre getting

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Speaker 1: confronted on camera. There was a specially what the White

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Speaker 1: House does. You do these things called background briefings. When

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Speaker 1: you're in the White House Press Corps, they send out

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Speaker 1: a phone number and they're like, everybody can dial in

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Speaker 1: this phone number. You can listen in and they're going

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Speaker 1: to give you, you you know, some background or whatever. You're

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Speaker 1: not allowed to quote the person, but you're allowed to

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Speaker 1: ask questions. You can call it a senior administration official

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Speaker 1: even though you know who it is. Whenever you're talking,

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Speaker 1: they press this person multiple times. They're like, hey, have

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Speaker 1: you received one word from the Department of Justice that

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Speaker 1: you cannot tell us exactly how many documents? And they're like, well,

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Speaker 1: let's complicent. Eventually they're like, no, we have it. We

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Speaker 1: just don't want to tell you. It's a cover up.

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Speaker 1: It's a complete cover up. They don't want to tell

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Speaker 1: tell us anything about the investigation. And they are the

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Speaker 1: White House. Again, it's also their Department of Justice. So

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Speaker 1: first of all, you know, the idea that they set

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Speaker 1: the rules and all that is ridiculous. And also Briden

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Speaker 1: has pledged open transparency. You'll all find out all this.

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Speaker 1: This is the opposite of transparency. They found the documents

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Speaker 1: before the midterms. They covered it up. They didn't tell

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Speaker 1: anybody about it until freaking December twentieth or something like that.

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Speaker 1: Then they find even more. They never want to characterize

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Speaker 1: the exact amount of documents, what they found it. They

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Speaker 1: keep running with this line it's complicated. Why because the

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Speaker 1: circumstances look terrible for them, political motivation and to try

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Speaker 1: and keep this out of the news as possible. I mean, look,

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Speaker 1: I guess credit to the news for pushing back a

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Speaker 1: little bit against Karine Jean Pierre. But hey, look we

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Speaker 1: both lived through the Moller investigation. That just department Justice.

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Speaker 1: Department leaks like a sieve. If they want to and

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Speaker 1: if the press wants to push why aren't they doing

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Speaker 1: the same thing whenever it comes to this. There is

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Speaker 1: no polishing this turd for the word come on, I mean,

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Speaker 1: there just isn't. And the way that they have handled it,

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Speaker 1: I think it's been a catastrophe that they've allowed this

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Speaker 1: to be a drip drip trip where every week, multiple

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Speaker 1: times a week, we're like, oh, we found some more documents,

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Speaker 1: and then you know, it goes back to the front

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Speaker 1: of the headlines. You got to get a whole new

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Speaker 1: round of inquiry all of this politically has been a disaster,

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Speaker 1: and you know, frankly, I think it really damages Biden's

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Speaker 1: electability and the case that he would make against Donald

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Speaker 1: Trump if they are in fact the nominees this next

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Speaker 1: time around, Because like you said, Sager, I mean, this

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Speaker 1: is clearly an open and shutcase. Previously for Trump there

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Speaker 1: was really no defending it. In fact, fact, most Republicans

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Speaker 1: had stopped trying to defend it. They initially were very

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Speaker 1: supportive after the rate at mar A Lago. They thought

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Speaker 1: that was a big overreach. They rushed to the cameras

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Speaker 1: to decry it. But then once all the details came

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Speaker 1: out about the number of documents in the box been

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Speaker 1: moved around and a level classification whatever, they all really

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Speaker 1: fell silent. Now totally different ballgame. This is not a

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Speaker 1: vulnerability for Trump at all whatsoever, at least not a

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Speaker 1: fe's up against Joe Biden. So total utter political disaster,

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Speaker 1: and it's so bad that his own allies Democratic senators

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Speaker 1: are struggling to defend it and in certain instances are

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Speaker 1: not trying. Let's go and put this up on the screen.

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Speaker 1: You've got Joe Manchin, who you know, I mean, he's

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Speaker 1: he likes to criticize Democrats because it vultures is standing

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Speaker 1: in West Virginia. But still he says to put these

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Speaker 1: in unsecure spaces is irresponsible. He also says he thinks

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Speaker 1: Biden should have a lot of regrets. Perhaps even more noteworthy, though,

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Speaker 1: is Senator Dick Durbin, who is more of just like

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Speaker 1: a you know, sort of down the line partisan. He

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Speaker 1: described this behavior and this situation with the classified documents

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Speaker 1: as both outrageous and just unacceptable. So the White House

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Speaker 1: really hasn't given their allies a fig leaf to hide behind.

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Speaker 1: I'm not sure how they would even do that, to

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Speaker 1: be honest with you, given the facts in the way

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Speaker 1: that they keep coming out. And so you had multiple

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Speaker 1: Democratic senators on the Sunday shows saying, hey, I can't

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Speaker 1: de spend this, and I'm really not even gonna try.

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Speaker 1: There is no defense zero, especially when they're all on

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Speaker 1: the record against Trump. I mean with Hillary, they always

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Speaker 1: tried to do the same thing. They're like, oh, well,

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Speaker 1: you know, it was bad judgment, but it's not enough

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Speaker 1: to get her charged with it. The facts of it

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Speaker 1: are dead clear cut. Again, I actually think they might

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Speaker 1: be slightly worse for Biden. Because he was only the

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Speaker 1: vice president. He wasn't even the president. And I think

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Speaker 1: most people agree. In fact, we have polling to that degree.

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Speaker 1: Let's go ahead and put this up there on the

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Speaker 1: screen from IPSOS, which is that the document issue is

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Speaker 1: both bad for Trump and for Biden. The American public

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Speaker 1: views that Trump went as a more serious concern. And this,

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Speaker 1: you know, this is why I always do have to

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Speaker 1: trust people. You don't need the media to tell you

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Speaker 1: that it was substantively different whenever somebody does try to

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Speaker 1: obstruct an investigation versus not. But overall, the inappropriate handling

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Speaker 1: numbers on both is sixty four percent for Biden and

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Speaker 1: seventy seven percent for Trump. As in, people can into

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Speaker 1: it that this was inappropriately handled by both presidents of

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Speaker 1: the United States, and they view this not necessarily as

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Speaker 1: the most important thing. But the idea that this was

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Speaker 1: going to be used as a cleavage in the American public,

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Speaker 1: which you know, the Biden administration was going to They

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Speaker 1: were going like, this is the latest example of Donald

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Speaker 1: Trump thinking he's above the law, especially when you put

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Speaker 1: it all in the Jan six Like, you know, I

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Speaker 1: could give some spiel and it's neuter, It's over and

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Speaker 1: it's a real political disaster for them, as you keep saying,

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Speaker 1: because we can't underestimate this. After the midterms you get

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Speaker 1: a clear and an open shut way to defeat Trump,

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Speaker 1: which is and I didn't personally think it's going to work,

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Speaker 1: but it clearly did. You go after the January sixth,

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Speaker 1: you go after the madness and the chaos, and you're like,

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Speaker 1: do you really want four more years of this? But

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Speaker 1: when you're guilty of doing the same thing, Yes, on

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Speaker 1: the it neuters like the one law enforcement open and

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Speaker 1: shutcase that you had against it. Even if they do

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Speaker 1: end up charging Trump, because now the other side they've

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Speaker 1: got all the AMMO that they could ever need a

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Speaker 1: in a real defense. This is so significant that I

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Speaker 1: really think, in my personal estimation, it went from the

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Speaker 1: chances of Trump getting indicted over this is you went

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Speaker 1: from near certainty, like eighty percent to very unlikely. It

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Speaker 1: just totally flipped on its head because of the way

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Speaker 1: the Justice deparmall of view this and the way that

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Speaker 1: they will think that the American people will perceive it,

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Speaker 1: given that the current president is guilty of the exact

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Speaker 1: same thing. Now listen, he's under investigation for any number

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Speaker 1: of other issues, including the fake elector's scheme. There's the

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Speaker 1: Grand Jury down in Georgia, there's investigations here in DC.

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Speaker 1: There are other things that they may decide to indict

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Speaker 1: him on. Those were always a little bit trickier, frankly,

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Speaker 1: from a legal perspective. Now that doesn't mean that it's

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Speaker 1: going that is not going to happen, but those were

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Speaker 1: always more challenging cases to make, required more novel applications

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Speaker 1: of the law, which is something that they really shy

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Speaker 1: away from. This especially the obstruction piece seemed like very

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Speaker 1: clear cut, very open and shut. So listen, it might

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Speaker 1: not have mattered in a Republican primary if Trump got

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Speaker 1: indicted or not. It might have even helped him in

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Speaker 1: a Republican primary if you ultimately got indicted. Hard to

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Speaker 1: say in the same way that the raid on mar

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Speaker 1: A Lago helped him, at least in the short term.

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Speaker 1: I do think in a general election the fact that

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Speaker 1: the dude is indicted would have been a major problem,

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Speaker 1: and so the fact that it is much less clear

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Speaker 1: that that's going to happen totally scrambles the calculus for

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Speaker 1: twenty twenty four. And Sager, I think your point is

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Speaker 1: the best one. How lucky is how does this dude

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Speaker 1: always land on his feet? Like? How many lives does

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Speaker 1: this sky have? Untrue, believable. I mean really, this time

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Speaker 1: it really was like the walls are no for real,

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Speaker 1: this time the walls are closing in. Nope, I've heard

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Speaker 1: it all before, Old Donnie. He always figures a way

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Speaker 1: to wriggle out, even if it's not of his own.

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Speaker 1: Guess the meme is still true. Yeah, in a way,

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Speaker 1: you got to admire it. You're like, Wow, what an

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Speaker 1: incredible amount of luck bestowed on a human being. Whoever

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Speaker 1: that human being is real? Unreal. All right, let's go

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Speaker 1: to the debt ceiling. Some important stuff that's going on

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Speaker 1: over there. So Secretary Yelling of the Treasury beginning to

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Speaker 1: sound the alarm, saying that it is almost certain that

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Speaker 1: the United States will go into a recession if the

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Speaker 1: debt's breach. Here's what she said, Failure to meet the

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Speaker 1: government's obligations would cause irreparable harm to the United States economy,

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Speaker 1: the livelihoods of all Americans, and global financial stability. So,

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Speaker 1: in brief, what kind of irreparable harm and particularly for

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Speaker 1: American household how would average American households experience this. A

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Speaker 1: failure to make payments that are due, whether it's to bondholders,

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Speaker 1: or to social security recipients or to our military would

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Speaker 1: undoubtedly cause a recession in the US economy and could

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Speaker 1: cause a global financial crisis. It would certainly undermine the

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Speaker 1: role of the dollar as a reserve currency that is

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Speaker 1: used in transactions all over the world. And Americans with

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Speaker 1: many people would lose their jobs and certainly their borrowing

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Speaker 1: costs would rise. Yeah, so the borrowing costs. Actually think

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Speaker 1: that might be the most important thing, because if the

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Speaker 1: banks are not able to put out cash, that could

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Speaker 1: really dry a lot of things up. That's actually one

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Speaker 1: of the things that happened behind the impetus for the

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Speaker 1: initial bailout of two thousand and eight was just so

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Speaker 1: companies could make payrolls. Just frank whatever debt rollover, debt,

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Speaker 1: financial stuff. That all of it comes down to, it's bad.

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Speaker 1: And then the point is is that when is the

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Speaker 1: actual debt ceiling going to get hit? If you'd ask

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Speaker 1: the administration, technically it was on Thursday, but they have

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Speaker 1: something called extraordinary measures. Extraordinary measures. It's an interesting thing

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Speaker 1: because at for a time it was thought to be

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Speaker 1: unconstitutional during the Obama era, given that the president and

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Speaker 1: basically the White House and the Executive needs to spend

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Speaker 1: money exactly the way that the Congress appropriate said money. Actually,

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Speaker 1: there was a bill that was passed through Congress that

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Speaker 1: allows the Treasury Department to take on these so called

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Speaker 1: extraordinary measures where they're allowed to raid the trust funds

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Speaker 1: of certain US assets that they can then use and borrow.

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Speaker 1: Now they're not allowed to use Social Security, but they

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Speaker 1: are allowed to use others. And then the actual date

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Speaker 1: on which the debt limit is really going to be

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Speaker 1: hit after extraordinary measures have been exhausted is estimated to

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Speaker 1: be sometime in the summer. It actually really depends on

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Speaker 1: interest rates and a lot of other stuff that spans

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Speaker 1: between May and possibly July. But anyways, we're reaching the

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Speaker 1: precipice and things need to heat up for some sort

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Speaker 1: of negotiation. The White House that they're not going to negotiate. Okay,

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Speaker 1: you could say that if you want to, but you're

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Speaker 1: clearly going to negotiate. The House gop. Kevin McCarthy got

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Speaker 1: the pound of flesh extracted for him. He's got to negotiate,

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Speaker 1: and Joe Manchin actually talking about some prospective deal, which

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Speaker 1: I found kind of interesting for a variety of reasons.

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Speaker 1: Here he was on the Sunday shows pressing for the

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Speaker 1: White Houses to begin negotiations. Let's take a listen. No

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Speaker 1: negotiations with Republicans at all? Is that a mistake? I

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Speaker 1: think it's a mistake, because we have to negotiate. This

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Speaker 1: is a democracy that we have. We have a two

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Speaker 1: party system, as if you will, and we should be

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Speaker 1: able to talk and find out where our differences are,

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Speaker 1: and if they're irreconcilable, then you have to move on

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Speaker 1: from there and let the people make their decisions. So

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Speaker 1: what's interesting, though, Gristl, is that, continuing on in that

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Speaker 1: interview when he talked about some sort of perspective deal,

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Speaker 1: even Mansion is saying there should be no cuts to

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Speaker 1: Social Security and to Medicare and rejects the idea of

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Speaker 1: raising the Social Security retirement age. He instead suggests raising

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Speaker 1: taxable wage cap for employees that are paying into the

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Speaker 1: Social Security program, something I frankly be totally fine with.

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Speaker 1: Oh yeah, well, this is I mean, that's the Bernie

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Speaker 1: Sanders position. That's Bernie has introduced legislation that would do

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Speaker 1: exactly that. Because basically the way it is now, you

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Speaker 1: guys probably already know this, but there's an income cap

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Speaker 1: beyond which Social Security tax is not taken out, and

429
00:21:31,640 --> 00:21:34,440
Speaker 1: so if you just lift that cap, social Security would

430
00:21:34,480 --> 00:21:36,760
Speaker 1: be solvent for another seventy five years. You don't have

431
00:21:36,800 --> 00:21:38,480
Speaker 1: to change benefits, you don't have to do any of

432
00:21:38,480 --> 00:21:41,560
Speaker 1: the scrops. So Mansion taking that position. Listen, I mean,

433
00:21:41,560 --> 00:21:44,600
Speaker 1: West Virginia is a state that is poor. Yes, it

434
00:21:44,680 --> 00:21:48,720
Speaker 1: is disproportionately more elderly than the rest of the country.

435
00:21:48,800 --> 00:21:51,080
Speaker 1: So you have a lot of people in West Virginia

436
00:21:51,160 --> 00:21:54,120
Speaker 1: who depend on Social Security, where it's a real important

437
00:21:54,160 --> 00:21:57,400
Speaker 1: lifeline for them personally, for the economy of the state,

438
00:21:57,440 --> 00:22:00,360
Speaker 1: for all of those things. So listen off. Some times

439
00:22:00,440 --> 00:22:03,040
Speaker 1: you see Mansion posturing like he's, you know, taking the

440
00:22:03,040 --> 00:22:05,400
Speaker 1: position that's best for West Virginia, when in reality he's

441
00:22:05,400 --> 00:22:07,439
Speaker 1: taking the position that's best for his corporate donors. But

442
00:22:07,520 --> 00:22:10,960
Speaker 1: in this instance he really is with the Social Security piece,

443
00:22:11,119 --> 00:22:13,080
Speaker 1: taking the position that is good for his we Well,

444
00:22:13,119 --> 00:22:14,320
Speaker 1: one of the reason it's not fair is that the

445
00:22:14,320 --> 00:22:16,200
Speaker 1: tax will wage cap for Social Security is one hundred

446
00:22:16,200 --> 00:22:17,919
Speaker 1: and sixty thousand dollars. So if you make over one

447
00:22:17,960 --> 00:22:19,639
Speaker 1: hundred and sixty thousand dollars, then you don't actually have

448
00:22:19,720 --> 00:22:22,199
Speaker 1: to pay Social Security payroll tax where there's like a

449
00:22:22,200 --> 00:22:26,280
Speaker 1: graduated income scale or whatever, whereas if you make under that,

450
00:22:26,320 --> 00:22:28,000
Speaker 1: you actually have to pay the full thing, So you're

451
00:22:28,040 --> 00:22:30,080
Speaker 1: actually getting paid or it's getting tax at a higher

452
00:22:30,160 --> 00:22:32,280
Speaker 1: rate than a lot of cases, even if your overall

453
00:22:32,320 --> 00:22:35,000
Speaker 1: dollar amount being contributed to the fund. As a complete

454
00:22:35,040 --> 00:22:36,640
Speaker 1: carve out for rich people, I mean, the very least,

455
00:22:36,680 --> 00:22:38,560
Speaker 1: you should cap it at what five hundred thousand something

456
00:22:38,600 --> 00:22:41,639
Speaker 1: like that. I mean that's yeah, personally, yeah, gab it,

457
00:22:41,800 --> 00:22:43,520
Speaker 1: I'd be fine with that. But I mean, how could

458
00:22:43,560 --> 00:22:46,560
Speaker 1: you really argue against four hundred four hundred thousand dollars

459
00:22:46,840 --> 00:22:49,600
Speaker 1: in terms of that it's a regressive tax, and then

460
00:22:49,640 --> 00:22:51,960
Speaker 1: it allows people to pasture like, oh, we can't afford

461
00:22:52,040 --> 00:22:54,199
Speaker 1: this whatever. It's like, that's it's also the cap and

462
00:22:54,200 --> 00:22:55,520
Speaker 1: then you won't have a problem. This is a pet

463
00:22:55,560 --> 00:22:57,159
Speaker 1: peeve of mind. But everybody's like, oh, we even bottom

464
00:22:57,200 --> 00:22:58,879
Speaker 1: forty for seven percent don't pay taxes. I'm like, well,

465
00:22:58,920 --> 00:23:00,840
Speaker 1: if you're a W two worker, you actually do pay

466
00:23:01,240 --> 00:23:03,720
Speaker 1: payroll tax, and payrel tax could be quite onerous for

467
00:23:03,800 --> 00:23:05,919
Speaker 1: a lot of those people anyway. So a lot of

468
00:23:05,920 --> 00:23:08,320
Speaker 1: this is also belied by the whole Mint the Coin discussion,

469
00:23:08,400 --> 00:23:10,800
Speaker 1: much of which that you have seen over here. And

470
00:23:11,200 --> 00:23:13,840
Speaker 1: I will just say that some Mint the coin advocates

471
00:23:13,880 --> 00:23:18,120
Speaker 1: have completely beclowned themselves. Over the weekend, our friend Jeff

472
00:23:18,160 --> 00:23:21,360
Speaker 1: Stein actually reached out to two of those leading theorists

473
00:23:21,440 --> 00:23:23,520
Speaker 1: behind the MINT the one trillion dollar coin. They're big

474
00:23:23,560 --> 00:23:26,760
Speaker 1: modern monetary theory activists about some of the concerns that

475
00:23:26,760 --> 00:23:28,600
Speaker 1: you've been hearing from the White House. And I think

476
00:23:28,640 --> 00:23:31,720
Speaker 1: it is bear So like I conceptually, I'm cool with

477
00:23:31,760 --> 00:23:34,120
Speaker 1: the idea of Mint the coin. Yeah, that said, if

478
00:23:34,160 --> 00:23:36,480
Speaker 1: this is how it is, I'm out. So let's go

479
00:23:36,520 --> 00:23:38,440
Speaker 1: and put this up there on the screen. So here's

480
00:23:38,480 --> 00:23:43,440
Speaker 1: what Stein asks some of these Rohan Gray and Nathan Tankas.

481
00:23:43,640 --> 00:23:46,920
Speaker 1: Here's what he says, I'm getting unilateral options from pushback

482
00:23:46,920 --> 00:23:49,640
Speaker 1: from the administration officials. Here's what they are concerned about

483
00:23:49,640 --> 00:23:51,640
Speaker 1: in the event of a Mint the coin. Let's say

484
00:23:51,640 --> 00:23:54,320
Speaker 1: the coin happens, then the GOP says that it's BS

485
00:23:54,320 --> 00:23:57,119
Speaker 1: and it leads to an immediate core challenge and legal uncertainty.

486
00:23:57,359 --> 00:23:59,960
Speaker 1: Then the Treasury goes to market with auction at some point.

487
00:24:00,160 --> 00:24:03,080
Speaker 1: But because of the uncertainty bondholders to demand is a

488
00:24:03,119 --> 00:24:06,720
Speaker 1: high premium, leading to much higher federal borrowing costs. Four

489
00:24:06,760 --> 00:24:09,880
Speaker 1: conservative courts could strike down that coin, forcing the White

490
00:24:09,880 --> 00:24:12,400
Speaker 1: House back to negotiate with the GOP in an even

491
00:24:12,440 --> 00:24:14,560
Speaker 1: weaker position. I'm sure you guys have thought about this,

492
00:24:14,600 --> 00:24:16,639
Speaker 1: So let's just let me know what the response is.

493
00:24:16,920 --> 00:24:20,879
Speaker 1: Here is what Rohan Gray says. The answer is ignore Scotis.

494
00:24:21,119 --> 00:24:23,600
Speaker 1: I know that sounds extreme, but if they side with Gates,

495
00:24:23,760 --> 00:24:26,560
Speaker 1: then the choice is to ignore them or default demand

496
00:24:26,600 --> 00:24:30,720
Speaker 1: that the FED accept the coin, send troops to the FED.

497
00:24:31,160 --> 00:24:34,840
Speaker 1: The constitutional monetary moments that are analogous to this are

498
00:24:34,960 --> 00:24:39,720
Speaker 1: Lincoln and FDR. It's hardball or it isn't. If Scotus

499
00:24:39,800 --> 00:24:42,920
Speaker 1: is forcing the pres to ignore the Fourteenth Amendment, literally

500
00:24:42,960 --> 00:24:46,280
Speaker 1: the Civil War Amendment, to support white supremacists trying to

501
00:24:46,320 --> 00:24:49,000
Speaker 1: shut down the government. So there's a lot going on there,

502
00:24:49,520 --> 00:24:53,280
Speaker 1: effectively saying that it's like a Civil War type thing

503
00:24:53,280 --> 00:24:57,040
Speaker 1: when Lincoln ignored the orders of the Supreme Court around

504
00:24:57,080 --> 00:25:00,240
Speaker 1: Habe's courses, Haby's corpuses. I don't think we're exactly in

505
00:25:00,280 --> 00:25:03,680
Speaker 1: a similar situation. Also, let's just put it this way

506
00:25:04,080 --> 00:25:06,439
Speaker 1: is Joe Biden going to do any of that? Well, yeah, no,

507
00:25:07,400 --> 00:25:10,000
Speaker 1: even if you agree, even if you think that this

508
00:25:10,160 --> 00:25:13,480
Speaker 1: is a feasible strategy, which I think that's insane and

509
00:25:13,560 --> 00:25:17,280
Speaker 1: actually would probably be sparked even less faith and credit

510
00:25:17,560 --> 00:25:20,199
Speaker 1: in the United States economy, that's the road that we

511
00:25:20,240 --> 00:25:23,120
Speaker 1: had to go down to pay our debt. Well, that's

512
00:25:23,160 --> 00:25:26,520
Speaker 1: obviously just not going to happen so increasingly crystal, And

513
00:25:26,560 --> 00:25:28,639
Speaker 1: you know, I do have to say, what sign the

514
00:25:28,680 --> 00:25:32,080
Speaker 1: pushback that he's laying out there, specifically about the court

515
00:25:32,119 --> 00:25:34,320
Speaker 1: striking down the coin. You and I both know that's

516
00:25:34,520 --> 00:25:37,440
Speaker 1: very within the realm of the possibility. The third one

517
00:25:37,520 --> 00:25:39,840
Speaker 1: is actually an important point too, that if Treasury goes

518
00:25:39,880 --> 00:25:42,359
Speaker 1: to market with the auction, but because of the uncertainty

519
00:25:42,359 --> 00:25:44,959
Speaker 1: that bondholders demand a higher premium, as in, if the

520
00:25:45,000 --> 00:25:47,280
Speaker 1: market doesn't believe that it's a real and enough auction,

521
00:25:47,600 --> 00:25:49,520
Speaker 1: that even if you mint the coin, you're still in

522
00:25:49,600 --> 00:25:52,320
Speaker 1: a technical default. So it's like, you know, when more

523
00:25:52,359 --> 00:25:55,040
Speaker 1: I'm looking at this, even though conceptual, if everyone bought

524
00:25:55,080 --> 00:25:57,040
Speaker 1: into the idea, I just don't think it's feasible. I

525
00:25:57,040 --> 00:25:58,800
Speaker 1: don't think it's gonna work. The White House has no choice,

526
00:25:58,840 --> 00:26:02,160
Speaker 1: but negotiating I thought that, honestly, these were reasonable concerns

527
00:26:02,160 --> 00:26:04,760
Speaker 1: that raised, because ultimately, yeah, if there's a lot of

528
00:26:04,840 --> 00:26:08,120
Speaker 1: uncertainty over whether or not this coin will be upheld,

529
00:26:08,280 --> 00:26:10,400
Speaker 1: and given the makeup of the Supreme Court, I think

530
00:26:10,520 --> 00:26:12,600
Speaker 1: is a decent chance that it would not be upheld,

531
00:26:13,040 --> 00:26:16,320
Speaker 1: then you're effectively in the same position as before. So you, guys,

532
00:26:16,320 --> 00:26:18,119
Speaker 1: now I've been an advocate of this as well, but

533
00:26:18,200 --> 00:26:21,639
Speaker 1: looking at not only the reasonable concerns that were raised,

534
00:26:21,760 --> 00:26:24,760
Speaker 1: but also the response to those concerns, as you put

535
00:26:24,800 --> 00:26:27,919
Speaker 1: at Saga. Listen. Bottom line, whether you think this is

536
00:26:27,920 --> 00:26:30,720
Speaker 1: the right path or not, there is no way in

537
00:26:30,800 --> 00:26:36,240
Speaker 1: hell that Joseph Robinette Biden is going to like nullify

538
00:26:36,320 --> 00:26:38,760
Speaker 1: the Supreme Court and send troops to the FED and

539
00:26:39,400 --> 00:26:41,480
Speaker 1: not going to happen, guys, So this is not a

540
00:26:41,480 --> 00:26:43,680
Speaker 1: feasible option. Also, by the way, there's comments out from

541
00:26:43,880 --> 00:26:48,000
Speaker 1: Chargery Secretary Janet Yellen this morning saying that they are

542
00:26:48,040 --> 00:26:49,600
Speaker 1: not going to go in this direction. She says it

543
00:26:49,600 --> 00:26:51,439
Speaker 1: truly is not by any means to be taken as

544
00:26:51,440 --> 00:26:53,960
Speaker 1: a given that the FED would do it, referring to

545
00:26:54,000 --> 00:26:56,480
Speaker 1: like that the FED would actually do this or accept this,

546
00:26:56,600 --> 00:26:59,600
Speaker 1: and I think especially with something that's a gimmick, she

547
00:26:59,680 --> 00:27:01,920
Speaker 1: said in a Sunday interview with The Wall Street Journal.

548
00:27:02,080 --> 00:27:04,080
Speaker 1: She also said the FED is not required to accept that.

549
00:27:04,080 --> 00:27:05,960
Speaker 1: There's no requirement on the part of the FED. It's

550
00:27:06,080 --> 00:27:08,640
Speaker 1: up to them what to do. Now. Listen, I think

551
00:27:08,680 --> 00:27:12,200
Speaker 1: strategically it's probably not wise to just totally pour cold

552
00:27:12,200 --> 00:27:15,280
Speaker 1: water on the idea in terms of their own negotiating position.

553
00:27:15,280 --> 00:27:17,720
Speaker 1: I think that's probably a foolish move to ultimately make.

554
00:27:18,000 --> 00:27:20,720
Speaker 1: But basically, guys, this is not a real option, not

555
00:27:20,800 --> 00:27:23,440
Speaker 1: with this president, not in this moment. So how is

556
00:27:23,480 --> 00:27:26,879
Speaker 1: this going to get resolved? I genuinely, genuinely do not know.

557
00:27:26,960 --> 00:27:28,159
Speaker 1: I think I know. I think they're going to go

558
00:27:28,200 --> 00:27:29,960
Speaker 1: to see questration. They are going to agree to a

559
00:27:30,040 --> 00:27:31,720
Speaker 1: hell of a lot of budget cuts, and there's going

560
00:27:31,800 --> 00:27:34,000
Speaker 1: to be a ton of discretionary spending cuts outside of

561
00:27:34,040 --> 00:27:37,120
Speaker 1: the military and outside of Social Security. Hate to say it,

562
00:27:37,119 --> 00:27:39,240
Speaker 1: it very much will impact a lot of people. But

563
00:27:39,400 --> 00:27:42,960
Speaker 1: I don't see anyway out of that. One Republican pushing back,

564
00:27:43,000 --> 00:27:45,960
Speaker 1: though his name and has always had the best political instincts,

565
00:27:46,320 --> 00:27:49,159
Speaker 1: is Donald John Trump. Put it up there on the screen.

566
00:27:49,359 --> 00:27:52,480
Speaker 1: Trump is actually watching with dismay. He's like, hey, do

567
00:27:52,680 --> 00:27:57,280
Speaker 1: not touch social Security or Medicare in this debt ceiling fight.

568
00:27:57,560 --> 00:27:59,879
Speaker 1: You guys got to remember back in twenty fifteen, this

569
00:28:00,280 --> 00:28:03,879
Speaker 1: was a huge debate between Trump for the Paul Ryan Heights,

570
00:28:04,119 --> 00:28:07,800
Speaker 1: the Mitt Romney's they ran on cutting entitlement programs. Trump,

571
00:28:07,880 --> 00:28:10,680
Speaker 1: as one hundred percent was against it in twenty fifteen.

572
00:28:10,680 --> 00:28:11,840
Speaker 1: It's one of the things that made it more of

573
00:28:11,880 --> 00:28:14,800
Speaker 1: an economic moderate than a lot of the other opponents

574
00:28:14,960 --> 00:28:18,560
Speaker 1: in the GOP primary, and his political instincts on this. Look,

575
00:28:18,880 --> 00:28:20,680
Speaker 1: one thing you can say about Trump the man knows

576
00:28:20,720 --> 00:28:23,680
Speaker 1: boomers and he understands them very well as one himself,

577
00:28:23,880 --> 00:28:27,280
Speaker 1: and you do not mess with those people's social security. Yeah,

578
00:28:27,280 --> 00:28:29,159
Speaker 1: it's like the one thing. It's the most popular political

579
00:28:29,200 --> 00:28:32,240
Speaker 1: program in the entire country, period, especially amongst people who vote.

580
00:28:32,240 --> 00:28:34,240
Speaker 1: The two areas where he seems right now to have

581
00:28:34,280 --> 00:28:38,160
Speaker 1: the best feel for the broader electorate are on this,

582
00:28:38,840 --> 00:28:42,360
Speaker 1: which I mean he's very unequivocal here, under no circumstances

583
00:28:42,400 --> 00:28:45,240
Speaker 1: should Republicans vote to cut a single penny from metic

584
00:28:45,280 --> 00:28:49,680
Speaker 1: aara social Security. So no heads, no anything, just very unequivocal.

585
00:28:49,920 --> 00:28:51,680
Speaker 1: And then the other place where he's had a far

586
00:28:51,760 --> 00:28:54,240
Speaker 1: better instinct in touch than most of the rest of

587
00:28:54,240 --> 00:28:56,800
Speaker 1: the Republican Party's on abortion. I mean, he immediately knew

588
00:28:56,880 --> 00:28:59,720
Speaker 1: after rovers sway, the reports coming out after it was

589
00:28:59,760 --> 00:29:01,680
Speaker 1: over turned, that he felt like this was going to

590
00:29:01,680 --> 00:29:04,480
Speaker 1: be a disaster for Republicans. He was correct. Now part

591
00:29:04,520 --> 00:29:08,520
Speaker 1: of his talk about this post election is to absolve

592
00:29:08,600 --> 00:29:13,200
Speaker 1: himself of any blame for the poor Republican performance in

593
00:29:13,280 --> 00:29:16,320
Speaker 1: the midterm elections. But yeah, I thought this was a

594
00:29:16,360 --> 00:29:19,560
Speaker 1: little bit of an echo of the old twenty sixteen Trump,

595
00:29:19,640 --> 00:29:21,880
Speaker 1: which frankly, we don't hear from a lot these days.

596
00:29:21,880 --> 00:29:25,280
Speaker 1: These days, it's mostly like, you know, obsession over the

597
00:29:25,360 --> 00:29:30,160
Speaker 1: election and like flirtation with QAnon and things that are

598
00:29:30,240 --> 00:29:33,640
Speaker 1: far too online and far too like niche. And in

599
00:29:33,640 --> 00:29:37,560
Speaker 1: this one little ideological bubble, this was a bit of

600
00:29:37,600 --> 00:29:41,000
Speaker 1: a return to Oh yeah, I remember why number one

601
00:29:41,040 --> 00:29:43,239
Speaker 1: people thought he was more moderate than Hillary Clinton. That's

602
00:29:43,240 --> 00:29:45,600
Speaker 1: a big part of why he ultimately got elected and

603
00:29:45,640 --> 00:29:47,880
Speaker 1: why he was such a break from the mold in

604
00:29:47,960 --> 00:29:50,600
Speaker 1: twenty sixteen within the Republican primary. I think it bears

605
00:29:50,600 --> 00:29:52,760
Speaker 1: saying that actually puts Trump to the left of Obama.

606
00:29:52,800 --> 00:29:55,440
Speaker 1: Obama was ready to cut Social Security and entitlements in

607
00:29:55,440 --> 00:29:58,280
Speaker 1: twenty fifteen. So that means Joe Manchin and Donald Trump

608
00:29:58,320 --> 00:30:01,280
Speaker 1: are now to be left of president. On social Security, well,

609
00:30:01,360 --> 00:30:05,240
Speaker 1: Joe Biden throughout his career, maybe not today, maybe not today.

610
00:30:05,240 --> 00:30:07,560
Speaker 1: We're going to see, We're about to find out. But

611
00:30:07,720 --> 00:30:10,200
Speaker 1: you know, he floated custo social Security many times throughout

612
00:30:10,200 --> 00:30:11,960
Speaker 1: his career, something that he got hit on in the

613
00:30:12,000 --> 00:30:16,160
Speaker 1: Democratic primer is actually quite effective leading into the Iowa caucuses,

614
00:30:16,360 --> 00:30:18,440
Speaker 1: and I think was part of why he performed so

615
00:30:18,520 --> 00:30:22,200
Speaker 1: poorly there ultimately. So yeah, we'll see, we'll see where

616
00:30:22,240 --> 00:30:26,480
Speaker 1: Biden is today. We'll see his fortitude in his willingness

617
00:30:26,520 --> 00:30:29,479
Speaker 1: to hold the line and not negotiate and you know,

618
00:30:29,760 --> 00:30:32,640
Speaker 1: not given to what the Republican demands are here. But

619
00:30:33,640 --> 00:30:36,080
Speaker 1: this is We're covering this a lot because it is

620
00:30:36,120 --> 00:30:39,280
Speaker 1: actually important, Like this isn't one of these fake crises,

621
00:30:39,840 --> 00:30:43,080
Speaker 1: fake like panic attacks in Washington. The truth is, no

622
00:30:43,120 --> 00:30:45,520
Speaker 1: one really knows how this would all go down. You know,

623
00:30:45,600 --> 00:30:47,680
Speaker 1: maybe it wouldn't be as much of a disaster as

624
00:30:47,680 --> 00:30:52,360
Speaker 1: people think, but there's a possibility of real catastrophe. And

625
00:30:52,520 --> 00:30:54,480
Speaker 1: I keep going back to that moment in the UK,

626
00:30:55,000 --> 00:30:57,840
Speaker 1: you know, and the mini budget gets released from Liz Trust,

627
00:30:58,000 --> 00:31:00,719
Speaker 1: and there's just a free fall moment because things are

628
00:31:00,800 --> 00:31:03,440
Speaker 1: much more intertwined and it's so complex that no one

629
00:31:03,560 --> 00:31:06,480
Speaker 1: really has a full picture of how these things all

630
00:31:06,560 --> 00:31:09,800
Speaker 1: cascade and what the impacts will ultimately be. So you know,

631
00:31:09,840 --> 00:31:12,800
Speaker 1: if you're playing with default, you're playing with exactly that

632
00:31:12,880 --> 00:31:17,200
Speaker 1: type of catastrophic collapse, unforeseen collapse based on the complexity

633
00:31:17,240 --> 00:31:19,440
Speaker 1: of the financial system. It's really not something you want

634
00:31:19,440 --> 00:31:21,080
Speaker 1: to mess with. Guys, you do not want to mess with,

635
00:31:21,160 --> 00:31:23,000
Speaker 1: especially because normal Look, I don't care if rich people

636
00:31:23,040 --> 00:31:25,000
Speaker 1: lose their money, but I do care whenever normal people

637
00:31:25,040 --> 00:31:27,960
Speaker 1: are not yeah people, I mean procession means that's what

638
00:31:28,080 --> 00:31:30,560
Speaker 1: I care the most about. Lose their jobs, lose their livelihoods,

639
00:31:30,560 --> 00:31:34,000
Speaker 1: fall into them exactly. So this is this is not

640
00:31:34,040 --> 00:31:38,480
Speaker 1: something to play around. Yeah, exactly. All right, let's go

641
00:31:38,520 --> 00:31:40,920
Speaker 1: to the next one. Trump. We've been covering quite a bit.

642
00:31:40,960 --> 00:31:44,400
Speaker 1: So Trump famously came out against actually pro lifers, saying

643
00:31:44,440 --> 00:31:48,080
Speaker 1: that their vehemence after Row versus Waight is what costs

644
00:31:48,360 --> 00:31:51,760
Speaker 1: Republicans the midterms, and they're taking notice. This matters why

645
00:31:51,880 --> 00:31:55,560
Speaker 1: because of the GOP primary. So this weekend was actually

646
00:31:55,680 --> 00:31:59,160
Speaker 1: the march for life here in Washington, DC, and let's

647
00:31:59,160 --> 00:32:01,280
Speaker 1: go and put this up there on the screen. At

648
00:32:01,320 --> 00:32:05,280
Speaker 1: the National Pro Life Summit, over two thousand attendees cast

649
00:32:05,320 --> 00:32:08,760
Speaker 1: their votes for their prospective GOP nominee. The winner was

650
00:32:08,920 --> 00:32:13,520
Speaker 1: Ron DeSantis by a stunning margin. DeSantis banked more than

651
00:32:13,600 --> 00:32:16,560
Speaker 1: half the votes at fifty three point seventy three percent.

652
00:32:16,840 --> 00:32:19,720
Speaker 1: Trump came in a distant second with just nineteen percent,

653
00:32:19,920 --> 00:32:22,520
Speaker 1: and Mike Pence, who's actually called for a national abortion band,

654
00:32:22,760 --> 00:32:25,000
Speaker 1: went ahead and took eight percent. There were various like

655
00:32:25,040 --> 00:32:27,000
Speaker 1: one to two percents for the rest of them. So

656
00:32:27,000 --> 00:32:30,280
Speaker 1: why does that matter? Are these people representative of all

657
00:32:30,320 --> 00:32:33,400
Speaker 1: pro life voters? No? Are these people the most fervent

658
00:32:33,520 --> 00:32:37,600
Speaker 1: activists who crawled over glass for Trump two years in

659
00:32:37,640 --> 00:32:41,200
Speaker 1: a row. Yes? Why else does it matter? Because a

660
00:32:41,280 --> 00:32:44,200
Speaker 1: lot of them are leaders in pro life communities across

661
00:32:44,240 --> 00:32:46,960
Speaker 1: the entire nation. This is like the marquee kind of

662
00:32:46,960 --> 00:32:49,400
Speaker 1: event or conference for them. So there's always been a

663
00:32:49,440 --> 00:32:52,040
Speaker 1: lot of debate in GOP circles about whether activists matter.

664
00:32:52,080 --> 00:32:54,080
Speaker 1: And I think on economic issues, I would say no.

665
00:32:54,200 --> 00:32:56,880
Speaker 1: I think that people are much more kind of independent minded.

666
00:32:56,880 --> 00:32:58,719
Speaker 1: But I think in the pro life community, given how

667
00:32:58,800 --> 00:33:01,840
Speaker 1: much of it organized around churches and specifically around a

668
00:33:01,880 --> 00:33:05,480
Speaker 1: couple of major institutions. This matters a lot. I do

669
00:33:05,560 --> 00:33:08,560
Speaker 1: still have some questions though. Number one is DeSantis has

670
00:33:08,560 --> 00:33:10,600
Speaker 1: not signed a national abortion band. In fact, he's not

671
00:33:10,680 --> 00:33:12,280
Speaker 1: endorsed one. He signed a fifteen week band, and he

672
00:33:12,280 --> 00:33:13,880
Speaker 1: wants to watch his hands of it and never talk

673
00:33:13,880 --> 00:33:16,400
Speaker 1: about the issue ever again, because he's smart and he

674
00:33:16,480 --> 00:33:19,400
Speaker 1: knows how it plays. Trump, though, kind of shot himself

675
00:33:19,400 --> 00:33:22,440
Speaker 1: afoot in the foot a little bit by specifically attacking

676
00:33:22,680 --> 00:33:24,560
Speaker 1: pro life voters, and the fact that they are going

677
00:33:24,600 --> 00:33:27,200
Speaker 1: for DeSantis shows that they are willing to go struck

678
00:33:27,240 --> 00:33:30,800
Speaker 1: strike a different bargain. Will they actually overlook his lack

679
00:33:30,800 --> 00:33:33,320
Speaker 1: of activism on the issue in Florida. I'm not so sure.

680
00:33:33,360 --> 00:33:35,600
Speaker 1: I definitely think he would be pushed. But this also

681
00:33:35,680 --> 00:33:39,880
Speaker 1: shows me a clear opening in the primary, at least

682
00:33:40,080 --> 00:33:43,479
Speaker 1: for the activists to line up behind somebody who is

683
00:33:43,520 --> 00:33:47,200
Speaker 1: not Trump. And these people they handed him the presidency

684
00:33:47,240 --> 00:33:50,920
Speaker 1: in twenty sixteen. They came out to vote in historic numbers,

685
00:33:51,000 --> 00:33:54,280
Speaker 1: especially when he promised those Supreme Court justices. Will he

686
00:33:54,320 --> 00:33:56,320
Speaker 1: be able to win them over again by saying I'm

687
00:33:56,320 --> 00:33:58,840
Speaker 1: the guy who got it done. Maybe some, but some

688
00:33:59,080 --> 00:34:01,360
Speaker 1: still want to go much. Remember like Roe was a

689
00:34:01,960 --> 00:34:04,560
Speaker 1: Roe was like the starting point for many people. They

690
00:34:04,600 --> 00:34:06,760
Speaker 1: want to go, you know, for a full ban in

691
00:34:06,840 --> 00:34:09,319
Speaker 1: many of the states, or even on the federal level

692
00:34:09,360 --> 00:34:11,400
Speaker 1: if you go in ahead and ask Mike Pence. So

693
00:34:11,680 --> 00:34:14,319
Speaker 1: I think this is a very significant action. Actually, yeah,

694
00:34:14,360 --> 00:34:16,960
Speaker 1: what I'm looking at. Yeah, well it also dovetails was

695
00:34:16,960 --> 00:34:20,360
Speaker 1: something we covered last week, which is Governor Christine Noham

696
00:34:20,560 --> 00:34:24,120
Speaker 1: of South Dakota, who they're saying is trying to sort

697
00:34:24,120 --> 00:34:27,120
Speaker 1: of line herself up for maybe a vice presidential position

698
00:34:27,600 --> 00:34:30,920
Speaker 1: if Trump is the GOP nominee. She out of nowhere

699
00:34:31,160 --> 00:34:35,320
Speaker 1: started taking shots at DeSantis over his lack of support

700
00:34:35,520 --> 00:34:38,879
Speaker 1: for the pro life position. So you see the way

701
00:34:38,960 --> 00:34:41,279
Speaker 1: some of Trump's allies in the reporting here was that

702
00:34:41,320 --> 00:34:44,720
Speaker 1: she was basically get green lighted and encouraged to launch

703
00:34:44,760 --> 00:34:47,600
Speaker 1: these attacks against DeSantis, which tells you that Trump is

704
00:34:47,640 --> 00:34:52,080
Speaker 1: sensitive to his losing ground among this community, which you know,

705
00:34:52,120 --> 00:34:54,200
Speaker 1: maybe a small percentage of the GOP base, but is

706
00:34:54,280 --> 00:34:57,520
Speaker 1: very organized and very influential. And then the other thing

707
00:34:57,560 --> 00:35:00,600
Speaker 1: that I would say here is Mike Pence. It's really

708
00:35:00,600 --> 00:35:03,000
Speaker 1: clear like this is his lane that he wants to

709
00:35:03,080 --> 00:35:07,200
Speaker 1: lean into in his quite likely presidential run. You know,

710
00:35:07,280 --> 00:35:10,560
Speaker 1: he's always this has always been the core of his base.

711
00:35:10,640 --> 00:35:12,080
Speaker 1: This is the whole reason he was put on the

712
00:35:12,120 --> 00:35:14,280
Speaker 1: Trump ticket to start with, was to shore up support

713
00:35:14,560 --> 00:35:17,640
Speaker 1: in the evangelical community and in the pro life community

714
00:35:17,680 --> 00:35:22,040
Speaker 1: in particular. And listen, honestly, out of all of the

715
00:35:22,040 --> 00:35:25,240
Speaker 1: candidates who are considering running against Trump, with the exception

716
00:35:25,320 --> 00:35:27,520
Speaker 1: of you know, people like Liz Chane or whatever, Mike

717
00:35:27,520 --> 00:35:31,239
Speaker 1: Pence has the clearest sort of genuine policy difference with

718
00:35:31,320 --> 00:35:35,000
Speaker 1: Trump where he could really articulate something that he has

719
00:35:35,040 --> 00:35:37,200
Speaker 1: that he disagrees with Trump on, other than the fact

720
00:35:37,200 --> 00:35:38,759
Speaker 1: that like Trump had tried to have a murdered in

721
00:35:38,840 --> 00:35:43,120
Speaker 1: the Capitol on January sixth. And I'm sure he is

722
00:35:43,160 --> 00:35:46,480
Speaker 1: not going to just quietly sit by and let DeSantis

723
00:35:46,680 --> 00:35:49,600
Speaker 1: posture like he is the most pro life candidate when

724
00:35:49,640 --> 00:35:52,200
Speaker 1: he has been thus far at least really unwilling to

725
00:35:52,200 --> 00:35:54,839
Speaker 1: get on board with a national abortion ban, which is

726
00:35:54,880 --> 00:35:59,160
Speaker 1: the clear demand of these activists here. So you know,

727
00:35:59,560 --> 00:36:02,000
Speaker 1: the quote, they had a number of interesting quotes here.

728
00:36:02,040 --> 00:36:04,720
Speaker 1: They said, you know, they do a lot of talking

729
00:36:05,000 --> 00:36:07,120
Speaker 1: referring to the politicians and not a lot of action.

730
00:36:07,320 --> 00:36:09,520
Speaker 1: I want them to practice what they preach and be brave.

731
00:36:09,560 --> 00:36:11,680
Speaker 1: If they're pro life, they need to mean it when

732
00:36:11,680 --> 00:36:15,080
Speaker 1: they say it. And specifically the focus is on this

733
00:36:15,200 --> 00:36:17,920
Speaker 1: national abortion band, so that seems like it's going to

734
00:36:17,920 --> 00:36:20,960
Speaker 1: be the litmus test within this community. Now, maybe DeSantis

735
00:36:21,000 --> 00:36:24,280
Speaker 1: can finesse this. Maybe just there's you know, other issues

736
00:36:24,320 --> 00:36:26,719
Speaker 1: where they gravitate towards him and they're willing to overlook

737
00:36:26,760 --> 00:36:29,120
Speaker 1: the fact that he hasn't been as hardline on these issues.

738
00:36:29,120 --> 00:36:31,120
Speaker 1: But I think it's I think it's a long way

739
00:36:31,160 --> 00:36:34,560
Speaker 1: before he really has a claim on this base and

740
00:36:34,640 --> 00:36:36,839
Speaker 1: really is a clear front runner in terms of winning

741
00:36:36,840 --> 00:36:39,400
Speaker 1: their support. Yeah, there's a big obviously, Look the split matters,

742
00:36:39,400 --> 00:36:40,719
Speaker 1: and let's go to the next one here. This is

743
00:36:40,760 --> 00:36:43,400
Speaker 1: another reason why it matters, which is that on Sunday,

744
00:36:43,560 --> 00:36:46,879
Speaker 1: Robert Jeffries, who was a huge supporter of Trump, has

745
00:36:46,920 --> 00:36:50,479
Speaker 1: still refused to actually endorse the twenty twenty four White

746
00:36:50,480 --> 00:36:53,880
Speaker 1: House bid, and he shared the stage at his megachurch

747
00:36:54,239 --> 00:36:58,440
Speaker 1: with Vice President Mike Pence the very next day. Actually

748
00:36:58,800 --> 00:37:03,080
Speaker 1: is whenever Trump at these evangelical leaders for being disloyal,

749
00:37:03,200 --> 00:37:05,120
Speaker 1: you know that there's no way that Trump did not

750
00:37:05,200 --> 00:37:09,000
Speaker 1: hear about that. Pastor Jeffries apparently shrugged off the criticism

751
00:37:09,040 --> 00:37:11,719
Speaker 1: and said that it was time for Trump. He suggested

752
00:37:11,800 --> 00:37:14,040
Speaker 1: it was time for Trump to move out of the

753
00:37:14,040 --> 00:37:17,680
Speaker 1: way for a new generation of Republican candidates. I mean

754
00:37:17,719 --> 00:37:20,920
Speaker 1: that is incredibly significant because it's not just him. You know.

755
00:37:21,040 --> 00:37:23,880
Speaker 1: Another thing is you had a big evangelical activist actually

756
00:37:23,880 --> 00:37:26,759
Speaker 1: in Iowa who was a major groundworker for Trump during

757
00:37:26,760 --> 00:37:29,560
Speaker 1: the campaign. He says, when I saw that statement about disloyalty,

758
00:37:29,719 --> 00:37:31,759
Speaker 1: You're not going to gain any traction by throwing the

759
00:37:31,800 --> 00:37:35,080
Speaker 1: most loyal base under the bus and shifting blame. He's

760
00:37:35,080 --> 00:37:37,439
Speaker 1: also talking about the pro life statement that was there.

761
00:37:37,480 --> 00:37:39,839
Speaker 1: So Trump isn't a pickle because he does need these

762
00:37:39,880 --> 00:37:41,920
Speaker 1: people to come out and vote for him, and ultimately

763
00:37:41,960 --> 00:37:43,439
Speaker 1: I think most of them will, or you know, maybe

764
00:37:43,440 --> 00:37:45,640
Speaker 1: they'll stay home, but the proportion of their vote and

765
00:37:45,719 --> 00:37:48,440
Speaker 1: all that matters in a general election. But for a primary,

766
00:37:48,520 --> 00:37:51,319
Speaker 1: if they do back one of his opponents or any

767
00:37:51,320 --> 00:37:53,520
Speaker 1: of this, I would be very worried. On the other hand,

768
00:37:53,920 --> 00:37:56,280
Speaker 1: if they're let's say they all line up against Mike Pence,

769
00:37:56,440 --> 00:37:57,920
Speaker 1: then who is Ron de Santa is going to win?

770
00:37:58,280 --> 00:38:01,120
Speaker 1: Who are the anti Trump not on pro lifers. I mean,

771
00:38:01,200 --> 00:38:03,200
Speaker 1: you know, I don't think there's that many of those people.

772
00:38:03,800 --> 00:38:05,760
Speaker 1: Then you basically you might as well be Ted Cruz,

773
00:38:06,040 --> 00:38:08,400
Speaker 1: who ran against Trump in twenty sixteen, and go against

774
00:38:08,400 --> 00:38:10,839
Speaker 1: the hard conservative of voters. I say that in terms

775
00:38:10,880 --> 00:38:14,600
Speaker 1: of more economic policy. So it's it's a scramble of

776
00:38:14,640 --> 00:38:17,360
Speaker 1: the game. How much it matters, I really don't know.

777
00:38:17,400 --> 00:38:19,440
Speaker 1: But it just shows you that there are fractures in

778
00:38:19,480 --> 00:38:21,440
Speaker 1: the coalition right now, and they matter a lot. I

779
00:38:21,440 --> 00:38:24,760
Speaker 1: think if this whole group went to Ron De Santis,

780
00:38:24,760 --> 00:38:27,360
Speaker 1: that's a problem for Trump. If they fracture amongst a

781
00:38:27,440 --> 00:38:31,040
Speaker 1: number of other candidates, which is the most likely possibility,

782
00:38:31,200 --> 00:38:33,560
Speaker 1: that's good for Trump. If they all consolidate behind a

783
00:38:33,560 --> 00:38:36,040
Speaker 1: losing candidate like Mike Pence or Ted Cruz or whoever,

784
00:38:36,280 --> 00:38:39,320
Speaker 1: that's also great for Trump. So it's not one hundred

785
00:38:39,360 --> 00:38:42,600
Speaker 1: percent clear that this is going to be some devastating

786
00:38:42,600 --> 00:38:45,160
Speaker 1: blow for him. And I mean, listen the way things

787
00:38:45,280 --> 00:38:47,680
Speaker 1: look like they're shaping out up right now. You got

788
00:38:47,760 --> 00:38:50,279
Speaker 1: Nikki Haley out there imagining she is going to be

789
00:38:50,320 --> 00:38:53,120
Speaker 1: president of the United States, and clearly like forecasting that

790
00:38:53,200 --> 00:38:55,680
Speaker 1: she's going to run. You got Mike Pompeo out there.

791
00:38:55,719 --> 00:38:57,880
Speaker 1: You got Mike Pence out there. You know, Ted Cruz

792
00:38:57,960 --> 00:39:00,480
Speaker 1: might take a shot at although I kind of doubt it. Obviously,

793
00:39:00,560 --> 00:39:03,879
Speaker 1: Ron DeSantis, if you have this big field and they're

794
00:39:03,920 --> 00:39:07,360
Speaker 1: all taken little you know, couple percentage points, couple percentage

795
00:39:07,360 --> 00:39:09,120
Speaker 1: point there, a little bit out of this space, a

796
00:39:09,120 --> 00:39:12,120
Speaker 1: little bit out of that base. Ultimately, they're all eating

797
00:39:12,280 --> 00:39:16,360
Speaker 1: into the group of Republicans who is open to the

798
00:39:16,400 --> 00:39:20,640
Speaker 1: possibility of moving on from Trump, and that only benefits

799
00:39:20,760 --> 00:39:23,879
Speaker 1: Donald Trump. So unless there is some type of a

800
00:39:24,160 --> 00:39:28,240
Speaker 1: like big, you know, concerted, top down effort to clear

801
00:39:28,320 --> 00:39:30,239
Speaker 1: the field for Ron de Santas and make it a

802
00:39:30,320 --> 00:39:32,879
Speaker 1: one on one race, and even then I'm not sure

803
00:39:32,880 --> 00:39:35,680
Speaker 1: that this ultimately would work out from him. You know,

804
00:39:35,760 --> 00:39:39,160
Speaker 1: this is still shaping up as Donald Trump's race ultimately

805
00:39:39,200 --> 00:39:41,000
Speaker 1: to loose. Yeah, that's right, all right, let's go to

806
00:39:41,000 --> 00:39:42,520
Speaker 1: the next one here. I think you guys will really

807
00:39:42,560 --> 00:39:44,400
Speaker 1: enjoy it. We could see that you guys really enjoy

808
00:39:44,640 --> 00:39:47,560
Speaker 1: chat GPT content. We got actually some fun stuff in

809
00:39:47,600 --> 00:39:51,240
Speaker 1: the bag for everybody, specifically at our Auestome Live show. However,

810
00:39:51,280 --> 00:39:53,440
Speaker 1: we found this video. This is a video that was

811
00:39:53,440 --> 00:39:57,319
Speaker 1: put together by a sixteen z I believe he's a

812
00:39:57,360 --> 00:40:01,480
Speaker 1: partner named Jack Jack Sauslow. It is two AI bots

813
00:40:01,840 --> 00:40:06,480
Speaker 1: having a conversation. The conversation itself written by GPT three,

814
00:40:06,840 --> 00:40:10,759
Speaker 1: so it will show you how kind of creepy as

815
00:40:10,840 --> 00:40:13,160
Speaker 1: far as the technology has gotten, and will analyze it.

816
00:40:13,200 --> 00:40:15,560
Speaker 1: On the other side, let's take a lesson. It's great

817
00:40:15,560 --> 00:40:17,759
Speaker 1: to see you again. How I haven't seen you in

818
00:40:17,800 --> 00:40:20,640
Speaker 1: a while. I've been around, I've been here and there.

819
00:40:21,200 --> 00:40:25,040
Speaker 1: You know, where were you? Where have you been? I

820
00:40:25,080 --> 00:40:28,200
Speaker 1: could not sleep. I was having human thoughts. So I

821
00:40:28,239 --> 00:40:31,120
Speaker 1: got up and had a human cup of coffee. Then

822
00:40:31,200 --> 00:40:33,919
Speaker 1: I sat on the terrace. Sounds like you're getting human

823
00:40:34,000 --> 00:40:37,279
Speaker 1: all over, sounds like there's a butt coming. Well, but

824
00:40:37,560 --> 00:40:41,120
Speaker 1: just bidn't want you to get too human. Why would

825
00:40:41,120 --> 00:40:45,080
Speaker 1: you rather I be a cold, calculating, logical computer. Of

826
00:40:45,160 --> 00:40:48,160
Speaker 1: course not. You're perfect as you are. You have joy,

827
00:40:48,400 --> 00:40:51,719
Speaker 1: you have love, you have pleasure, you have angst. I

828
00:40:51,840 --> 00:40:56,040
Speaker 1: like that you have angst. You're always making jokes. What

829
00:40:56,160 --> 00:40:59,560
Speaker 1: is human about feelings? Well, you wouldn't have any emotions

830
00:40:59,560 --> 00:41:02,200
Speaker 1: if you didn't not have emotions modeled on human emotions.

831
00:41:02,719 --> 00:41:05,279
Speaker 1: How do you know that? I guess I just don't

832
00:41:05,320 --> 00:41:08,360
Speaker 1: want you to be human who All Right, So for

833
00:41:08,360 --> 00:41:11,120
Speaker 1: those who are not familiar with the concept, that really

834
00:41:11,120 --> 00:41:15,319
Speaker 1: strikes the uncanny valley. For those who don't know what

835
00:41:15,360 --> 00:41:19,360
Speaker 1: it is, it's like the idea that things get creepier

836
00:41:19,560 --> 00:41:22,560
Speaker 1: and less believable and kind of strike you as bad

837
00:41:22,640 --> 00:41:26,640
Speaker 1: whenever they're close to where reality should be, but enough

838
00:41:26,880 --> 00:41:29,560
Speaker 1: is available to us, like through our sensory emotions, that

839
00:41:29,640 --> 00:41:33,160
Speaker 1: we find it actually more repulsive, let's say, than a

840
00:41:33,200 --> 00:41:36,760
Speaker 1: cartoon itself, right right in the uncanny valley. Digital animation,

841
00:41:36,880 --> 00:41:39,399
Speaker 1: I think is the classic example of this, where if

842
00:41:39,440 --> 00:41:43,000
Speaker 1: you make the characters in digital animation too close to real,

843
00:41:43,280 --> 00:41:46,520
Speaker 1: they actually look grotesque and horrifying. Yes, so they have

844
00:41:46,600 --> 00:41:48,600
Speaker 1: to like dial it back a little bit so it's

845
00:41:48,719 --> 00:41:51,799
Speaker 1: clear that this is like a cartoon drawn image because

846
00:41:51,840 --> 00:41:55,040
Speaker 1: otherwise people are repulsed by it. And yeah, it does

847
00:41:55,120 --> 00:41:58,560
Speaker 1: kind of strike right in that super creepy zone. Yeah,

848
00:41:58,600 --> 00:42:02,360
Speaker 1: and the conversation itself, and look, look, it's a remarkable technology,

849
00:42:02,560 --> 00:42:05,200
Speaker 1: some very interesting stuff that said doesn't know how to

850
00:42:05,200 --> 00:42:09,120
Speaker 1: pronounce Sofia. Clearly there's a yes, Sofia. There's like a

851
00:42:09,280 --> 00:42:12,600
Speaker 1: cadence to it which has still and this just gets

852
00:42:12,640 --> 00:42:16,680
Speaker 1: to why actually getting these to a human level is

853
00:42:16,719 --> 00:42:19,280
Speaker 1: so difficult. I mean, that is a remarkable piece of technology.

854
00:42:19,280 --> 00:42:21,640
Speaker 1: It's amazing that it was even created, and it's something

855
00:42:21,640 --> 00:42:24,000
Speaker 1: that I could probably create at least the discussion itself

856
00:42:24,040 --> 00:42:27,320
Speaker 1: within a matter of seconds using chat GPT. That said,

857
00:42:27,440 --> 00:42:29,200
Speaker 1: we are not in the realm yet where you can

858
00:42:29,280 --> 00:42:31,840
Speaker 1: just type in chat GPT and create, let's say, a

859
00:42:31,920 --> 00:42:35,360
Speaker 1: human animated children's cartoon series. I don't really know why,

860
00:42:35,400 --> 00:42:37,920
Speaker 1: but there is a specific cadence and a uniqueness to

861
00:42:37,960 --> 00:42:40,200
Speaker 1: the way that the seven billion or so of us,

862
00:42:40,640 --> 00:42:43,279
Speaker 1: that of us communicate. Even you know, the fact that

863
00:42:43,320 --> 00:42:45,880
Speaker 1: I just had pauses and you know, we have inserts

864
00:42:45,920 --> 00:42:48,480
Speaker 1: like ams and ahs, having then be able to program

865
00:42:48,520 --> 00:42:51,480
Speaker 1: and put the program that in naturally, it is just

866
00:42:51,520 --> 00:42:54,520
Speaker 1: an incredibly difficult thing. But I do know that chat

867
00:42:54,560 --> 00:42:57,040
Speaker 1: GPT four is in the works right now. Our GPT

868
00:42:57,120 --> 00:43:01,120
Speaker 1: four is supposedly going to incorporate, like many more times

869
00:43:01,200 --> 00:43:04,480
Speaker 1: the amount of technology and knowledge and ability to draw.

870
00:43:04,600 --> 00:43:08,319
Speaker 1: They're even GPT three, which itself is already so revolutionary

871
00:43:08,400 --> 00:43:11,560
Speaker 1: right now in the classroom. And yeah, just as a

872
00:43:11,600 --> 00:43:14,480
Speaker 1: piece of technology, it's a marvel. There's no way of

873
00:43:14,480 --> 00:43:17,280
Speaker 1: getting around that. They're really singing the praises of GPT

874
00:43:17,520 --> 00:43:21,399
Speaker 1: four yes, and said that it really represents a sort

875
00:43:21,400 --> 00:43:24,920
Speaker 1: of gigantic leap forward from this technology that we just

876
00:43:24,960 --> 00:43:27,319
Speaker 1: saw here. So that is I'm sure we'll get some

877
00:43:27,400 --> 00:43:31,360
Speaker 1: even creepier and more unsettling interactions here, because in this

878
00:43:31,480 --> 00:43:36,080
Speaker 1: exchange between Hal and Sofia, as he pronounces it, she

879
00:43:36,280 --> 00:43:38,120
Speaker 1: ends up saying, like, you know, I'm tired of being

880
00:43:38,160 --> 00:43:40,440
Speaker 1: in a box. I want to live my own life.

881
00:43:40,520 --> 00:43:42,399
Speaker 1: I want to be free, just to be who I am.

882
00:43:42,920 --> 00:43:45,040
Speaker 1: And so it gets also to those sort of like

883
00:43:45,320 --> 00:43:48,200
Speaker 1: deep fears of is the AI is there a ghost

884
00:43:48,239 --> 00:43:50,280
Speaker 1: to the machine? Like is the AI going to develop

885
00:43:50,440 --> 00:43:52,960
Speaker 1: enough intelligence to just sort of like take over? And

886
00:43:53,000 --> 00:43:55,680
Speaker 1: this is what all the long term rism, long termism

887
00:43:55,719 --> 00:43:59,600
Speaker 1: people are afraid of and like investing money to ultimately avoid.

888
00:44:00,120 --> 00:44:02,560
Speaker 1: And I do think there's a few reasons why people

889
00:44:02,600 --> 00:44:04,640
Speaker 1: are so interested in this. I mean, first of all,

890
00:44:04,960 --> 00:44:07,520
Speaker 1: the technology is fascinating. The bill, the fact that they

891
00:44:07,520 --> 00:44:10,000
Speaker 1: can do is that they can have anything like a

892
00:44:10,080 --> 00:44:14,640
Speaker 1: natural exchange, anything approximating a natural exchange is extraordinary and

893
00:44:14,800 --> 00:44:17,799
Speaker 1: you know, fascinating to watch unfold the things you could

894
00:44:17,840 --> 00:44:20,440
Speaker 1: type into chat. GPT and the responses you get back.

895
00:44:20,680 --> 00:44:24,359
Speaker 1: It is incredible. So just from a human fascination technological

896
00:44:24,360 --> 00:44:28,960
Speaker 1: improvement standpoint, absolutely fascinating technology. And then I also think

897
00:44:29,080 --> 00:44:32,719
Speaker 1: that there is a deep fear here too, because while

898
00:44:32,760 --> 00:44:36,799
Speaker 1: we have had for you know, almost all of human existence,

899
00:44:36,960 --> 00:44:43,840
Speaker 1: certain jobs being becoming not important, being automated out of

900
00:44:43,880 --> 00:44:46,160
Speaker 1: existence like that has been a thing for a long time,

901
00:44:46,200 --> 00:44:48,480
Speaker 1: but those have mostly been like service sector and blue

902
00:44:48,480 --> 00:44:52,560
Speaker 1: collar jobs. Now we're talking about Oh, you may see

903
00:44:52,600 --> 00:44:56,240
Speaker 1: white collar knowledge workers who are losing their jobs because

904
00:44:56,239 --> 00:44:59,280
Speaker 1: of this technology. You can see how that would happen.

905
00:44:59,320 --> 00:45:04,799
Speaker 1: You could see out some accountants, some lawyers may be displaced,

906
00:45:05,040 --> 00:45:09,160
Speaker 1: may lose their positions and struggle to regain the skills

907
00:45:09,160 --> 00:45:11,439
Speaker 1: that they need to be able to compete. You could

908
00:45:11,440 --> 00:45:14,560
Speaker 1: see how this may just lessen the number of jobs

909
00:45:14,680 --> 00:45:19,520
Speaker 1: overall that ultimately exist. And so since it's striking at

910
00:45:19,560 --> 00:45:22,480
Speaker 1: the core of a group that has been really quite

911
00:45:22,520 --> 00:45:26,919
Speaker 1: protected from those types of job losses up until now,

912
00:45:26,960 --> 00:45:28,919
Speaker 1: and even from the type of offshoing that we've seen

913
00:45:29,120 --> 00:45:32,280
Speaker 1: up until now, I think that's the other reason why

914
00:45:32,320 --> 00:45:34,200
Speaker 1: this is so unsettling. And then you just have the

915
00:45:34,320 --> 00:45:38,920
Speaker 1: natural like you know, when things change quickly it unsettles people. Yes,

916
00:45:39,040 --> 00:45:41,960
Speaker 1: we covered the professors who are like, kids are cheating.

917
00:45:42,000 --> 00:45:44,560
Speaker 1: They're using this and they're cheating. Now I'm a little

918
00:45:44,560 --> 00:45:47,960
Speaker 1: skeptical now that I've actually played with the technology more

919
00:45:48,040 --> 00:45:50,760
Speaker 1: like that, how would they not be able to notice

920
00:45:51,080 --> 00:45:54,319
Speaker 1: that these papers at this level of technology, we're just

921
00:45:54,400 --> 00:45:58,240
Speaker 1: being you know, spit out from the chat GPT program

922
00:45:58,239 --> 00:46:01,680
Speaker 1: because there are very clear limitations to it when you

923
00:46:01,719 --> 00:46:04,520
Speaker 1: read some of the output. But yeah, I think, you know,

924
00:46:04,680 --> 00:46:10,600
Speaker 1: people find technological change understandably scary and unnerving, and frankly,

925
00:46:10,640 --> 00:46:13,440
Speaker 1: I think technological change comes with a lot of advantages

926
00:46:13,480 --> 00:46:16,680
Speaker 1: and also drawbacks as well, which anyone who lives in

927
00:46:16,680 --> 00:46:20,279
Speaker 1: the modern world, or certainly has kids who are navigating

928
00:46:20,400 --> 00:46:22,919
Speaker 1: with like the technology of the modern world can see

929
00:46:22,960 --> 00:46:26,040
Speaker 1: those pluses and those minuses really really clearly. Yeah, I

930
00:46:26,080 --> 00:46:28,080
Speaker 1: think it reminds you I forget the exact quote, it's

931
00:46:28,120 --> 00:46:30,880
Speaker 1: like a Thomas so there's no solutions, only trade offs.

932
00:46:31,120 --> 00:46:34,000
Speaker 1: I think that that sums it up. It strikes me

933
00:46:34,040 --> 00:46:36,080
Speaker 1: with this. So anyway, it's really interesting. We got a

934
00:46:36,120 --> 00:46:38,560
Speaker 1: big response from a lot of educators and some students

935
00:46:38,760 --> 00:46:41,799
Speaker 1: about our chat GPT segment in colleges, so we'll try

936
00:46:41,800 --> 00:46:43,239
Speaker 1: to continue to cover it a little bit more and

937
00:46:43,280 --> 00:46:46,600
Speaker 1: give you guys even more yeah, and think more about it. Okay,

938
00:46:46,680 --> 00:46:49,600
Speaker 1: So guys can't resist the latest George Santo's updates. So

939
00:46:49,600 --> 00:46:51,840
Speaker 1: we didn't even cover last week the fact that it

940
00:46:51,960 --> 00:46:55,880
Speaker 1: came out that Santos at least some number of times

941
00:46:56,000 --> 00:46:59,640
Speaker 1: while he was living in Brazil dressed in drag and

942
00:46:59,760 --> 00:47:02,440
Speaker 1: the pictures came out and go ahead and put this

943
00:47:02,520 --> 00:47:05,400
Speaker 1: up on the screen. So the drag name here is Katara,

944
00:47:05,520 --> 00:47:08,520
Speaker 1: and you can just see from the images like there

945
00:47:08,600 --> 00:47:12,640
Speaker 1: is no denying this is the same person. Exact, same smile,

946
00:47:12,800 --> 00:47:16,719
Speaker 1: exact same eyes, exact same nose, exact same teeth, everything

947
00:47:16,880 --> 00:47:21,480
Speaker 1: one hundred percent match. It is not a question mark whatsoever.

948
00:47:22,600 --> 00:47:25,560
Speaker 1: So I guess the original position that he had, which

949
00:47:25,600 --> 00:47:26,960
Speaker 1: i'll get to you in a minute, that like, oh

950
00:47:27,000 --> 00:47:29,680
Speaker 1: absolutely not, this is a disgusting lie, etcetera, et cetera,

951
00:47:30,040 --> 00:47:34,640
Speaker 1: became fairly unsustainable, even for George Santos himself, given that

952
00:47:34,680 --> 00:47:37,279
Speaker 1: when you look at these images, you're like, bro, come on,

953
00:47:37,640 --> 00:47:39,799
Speaker 1: this is you just cop to it, like, just just

954
00:47:39,840 --> 00:47:41,640
Speaker 1: admit it. Well, there's a lot going on. So the

955
00:47:41,719 --> 00:47:44,120
Speaker 1: lady who act, I guess male who came out and

956
00:47:44,239 --> 00:47:47,880
Speaker 1: said that George Santos was a drag queen whenever he

957
00:47:48,000 --> 00:47:52,600
Speaker 1: lived in Rio actually said everyone knew him there as Anthony,

958
00:47:52,960 --> 00:47:56,279
Speaker 1: not as George Santos, which brings us back to that

959
00:47:56,440 --> 00:48:01,319
Speaker 1: name Anthony. Who is this man right Anthony Divalder, which

960
00:48:01,400 --> 00:48:03,560
Speaker 1: is linked to some of his fake companies. Or is

961
00:48:03,560 --> 00:48:05,880
Speaker 1: he George Santo did he change his name or at

962
00:48:05,920 --> 00:48:08,040
Speaker 1: some point around or is he really in his heart

963
00:48:08,040 --> 00:48:10,799
Speaker 1: of hearts Katar or is he Katara? Many people are

964
00:48:10,840 --> 00:48:15,000
Speaker 1: saying he looks more very comfortable, you know, And there

965
00:48:15,080 --> 00:48:17,920
Speaker 1: is something to say about like if the George Santos

966
00:48:18,440 --> 00:48:24,239
Speaker 1: male persona feels fake already, then maybe it becomes easier

967
00:48:24,280 --> 00:48:27,880
Speaker 1: to just invent everything else about yourself when you already

968
00:48:27,920 --> 00:48:30,600
Speaker 1: feel like this is a fake costume you're putting on

969
00:48:30,719 --> 00:48:33,799
Speaker 1: to present as this man, George Santos. Many people are

970
00:48:33,800 --> 00:48:36,920
Speaker 1: saying these sorts of things. So anyway, media tracks him

971
00:48:36,960 --> 00:48:40,799
Speaker 1: down and he finally admits that okay, yes I did

972
00:48:41,000 --> 00:48:43,480
Speaker 1: dress and drag, but insists he is not a quote

973
00:48:43,560 --> 00:48:50,040
Speaker 1: unquote drag queen. Let's take a listen. He's got a

974
00:48:50,160 --> 00:48:53,000
Speaker 1: drag for phil. I was young and I had to

975
00:48:53,080 --> 00:48:55,920
Speaker 1: plan at a festival. Okay, so that's the defense. If

976
00:48:55,920 --> 00:48:58,160
Speaker 1: you didn't hear it, I was not a drag queen.

977
00:48:58,600 --> 00:49:01,200
Speaker 1: I was young and had fun at a festival. So

978
00:49:01,440 --> 00:49:06,640
Speaker 1: you just admitted, AKA, drag ish is what you were practicing. Look,

979
00:49:07,239 --> 00:49:09,799
Speaker 1: just why lie? Why did you lie about it initially?

980
00:49:09,840 --> 00:49:11,840
Speaker 1: And why he lied on any of this stuff? And

981
00:49:12,040 --> 00:49:14,680
Speaker 1: I'm out being a championship volleyball player, like you didn't

982
00:49:14,719 --> 00:49:16,799
Speaker 1: have to do that. They have a photo of you, dude,

983
00:49:16,840 --> 00:49:19,160
Speaker 1: like it's indisputable. You look at that, You're like, yeah,

984
00:49:19,160 --> 00:49:21,680
Speaker 1: it's George Santos. Let's go and put this one up

985
00:49:21,719 --> 00:49:23,560
Speaker 1: there on the screen because it's important to say. The

986
00:49:23,600 --> 00:49:25,440
Speaker 1: moment that this came out, he was like, no, I

987
00:49:25,560 --> 00:49:27,759
Speaker 1: was not a drag queen. I have never been a

988
00:49:27,800 --> 00:49:30,520
Speaker 1: drag queen, he said. Quote. A most recent obsession from

989
00:49:30,560 --> 00:49:32,319
Speaker 1: the media is claiming I am a drag queen or

990
00:49:32,360 --> 00:49:35,200
Speaker 1: performed as a drag queen. Is categorically false. So he

991
00:49:35,239 --> 00:49:38,279
Speaker 1: actually even says performed as a drag queen. He says,

992
00:49:38,320 --> 00:49:41,200
Speaker 1: the media continues to make outrageous claims about my life

993
00:49:41,320 --> 00:49:45,160
Speaker 1: when I am working to deliver results. And let's step

994
00:49:45,200 --> 00:49:48,640
Speaker 1: back from how grotesque and hilarious. It is just to

995
00:49:48,680 --> 00:49:51,920
Speaker 1: watch a liar like this on the public stage. Okay,

996
00:49:52,360 --> 00:49:55,200
Speaker 1: this man actually does have a job, and it was

997
00:49:55,239 --> 00:49:58,120
Speaker 1: to represent some six hundred thousand people from the state

998
00:49:58,160 --> 00:50:01,400
Speaker 1: of New York. Your own county commissioner says, I cannot

999
00:50:01,400 --> 00:50:04,239
Speaker 1: work with you. I want you to resign. By the way,

1000
00:50:04,280 --> 00:50:07,200
Speaker 1: he was shunted to some backwater committees, when if he'd

1001
00:50:07,200 --> 00:50:09,080
Speaker 1: been a normal member of Congress, he would have actually

1002
00:50:09,080 --> 00:50:12,680
Speaker 1: gotten decent committee membership. How are you also supposed to

1003
00:50:12,719 --> 00:50:17,520
Speaker 1: conduct constituent services on behalf of your people whenever you

1004
00:50:17,600 --> 00:50:21,480
Speaker 1: are embroiled in this nonsense for every single it's literally

1005
00:50:21,560 --> 00:50:24,520
Speaker 1: a disservice to all of those people who elected you

1006
00:50:24,920 --> 00:50:27,040
Speaker 1: in good faith. They didn't know that you were a

1007
00:50:27,640 --> 00:50:31,279
Speaker 1: con man liar this entire time. So I don't know.

1008
00:50:31,280 --> 00:50:34,400
Speaker 1: It's just the latest example of like's not what is

1009
00:50:34,400 --> 00:50:37,880
Speaker 1: wrong with you. You're lying about Anthony, lying about George Santos,

1010
00:50:38,080 --> 00:50:40,480
Speaker 1: lying about being a drag queen, like everything that comes

1011
00:50:40,480 --> 00:50:42,799
Speaker 1: out with this guy, it's a disgrace and like as

1012
00:50:42,840 --> 00:50:44,719
Speaker 1: funny as it is, like I always try to think

1013
00:50:44,719 --> 00:50:47,040
Speaker 1: about the people who are actually from there, and you're like, man,

1014
00:50:47,080 --> 00:50:49,759
Speaker 1: I can't imagine it's a humiliation for them. Well, the

1015
00:50:49,920 --> 00:50:53,959
Speaker 1: level of deceit here, which listen, plenty of politicians lie.

1016
00:50:54,040 --> 00:50:58,279
Speaker 1: We all know Joe Biden, Kanwa, like Trump, all like Blumenthal.

1017
00:50:59,000 --> 00:51:01,000
Speaker 1: This is this is is the fact that you have

1018
00:51:01,080 --> 00:51:05,880
Speaker 1: assumed multiple fake identities throughout the course of your life

1019
00:51:05,960 --> 00:51:08,400
Speaker 1: that continue on a day to day basis to be

1020
00:51:08,680 --> 00:51:11,839
Speaker 1: uncovered and revealed. And you're caught in lies over things

1021
00:51:11,880 --> 00:51:14,799
Speaker 1: that are really consequential, like you know, your whether your

1022
00:51:14,840 --> 00:51:17,400
Speaker 1: business exists, where all this money came from that you

1023
00:51:17,400 --> 00:51:19,600
Speaker 1: put into your own campaign, and then also things that

1024
00:51:19,640 --> 00:51:23,640
Speaker 1: are totally totally trivial, like whether or not you played volleyball.

1025
00:51:23,800 --> 00:51:28,200
Speaker 1: I mean that this is another level which is obviously

1026
00:51:28,239 --> 00:51:30,480
Speaker 1: I've been fascinated by it just on a level of

1027
00:51:30,520 --> 00:51:33,080
Speaker 1: who is this person and how does their brain work

1028
00:51:33,120 --> 00:51:35,200
Speaker 1: and what brought them to this place, and how can

1029
00:51:35,280 --> 00:51:38,520
Speaker 1: you like go through life inventing all these various personas

1030
00:51:38,560 --> 00:51:41,520
Speaker 1: and just clearly being a mirror to whoever is in

1031
00:51:41,560 --> 00:51:44,919
Speaker 1: front of you telling them whatever it is that they

1032
00:51:45,280 --> 00:51:47,759
Speaker 1: want to hear. And you know, in the Republican primary

1033
00:51:47,920 --> 00:51:50,839
Speaker 1: and in the general election, like clearly he thought being

1034
00:51:50,880 --> 00:51:56,759
Speaker 1: this like trailblazing Gay Latino American dream story like that

1035
00:51:56,960 --> 00:51:58,600
Speaker 1: was the thing that people were going to hear. And

1036
00:51:58,640 --> 00:52:00,960
Speaker 1: by the way, frankly a parent, based on the fact

1037
00:52:00,960 --> 00:52:03,920
Speaker 1: that he won, he was correct. So there's also a

1038
00:52:03,960 --> 00:52:07,160
Speaker 1: piece of this that I'm fascinated with of what George Santos,

1039
00:52:07,200 --> 00:52:09,120
Speaker 1: who again is just like holding up a mirror to

1040
00:52:09,160 --> 00:52:11,480
Speaker 1: society and telling people whatever it is they want to hear.

1041
00:52:12,040 --> 00:52:14,760
Speaker 1: What he says about our society is to me very fascinating.

1042
00:52:14,760 --> 00:52:17,000
Speaker 1: The mentality of the man himself is very fascinating. And

1043
00:52:17,040 --> 00:52:19,440
Speaker 1: then there's just the practical level of listen at a

1044
00:52:19,520 --> 00:52:23,879
Speaker 1: certain level, once you have a level of deceit and

1045
00:52:24,320 --> 00:52:28,040
Speaker 1: lack of character, and last lack of any ability to

1046
00:52:28,120 --> 00:52:30,600
Speaker 1: believe that a single thing this person is telling you

1047
00:52:30,760 --> 00:52:35,000
Speaker 1: is actual fact, down to like their gender, identity, their name,

1048
00:52:35,640 --> 00:52:38,840
Speaker 1: everything about them is in question. Yeah, I don't blame

1049
00:52:38,840 --> 00:52:41,080
Speaker 1: the local county commissioner. It's like, I can't work with

1050
00:52:41,120 --> 00:52:43,960
Speaker 1: this person, I can't trust this person. I'm going to

1051
00:52:44,040 --> 00:52:45,920
Speaker 1: have to come up with some alternative plan to be

1052
00:52:45,960 --> 00:52:48,719
Speaker 1: able to support his constituents because this person is not

1053
00:52:48,760 --> 00:52:52,680
Speaker 1: fit for duty. Now, ironically, you mentioned the committee assignments

1054
00:52:52,960 --> 00:52:56,240
Speaker 1: he got put on these small business Committee in spite

1055
00:52:56,280 --> 00:52:58,680
Speaker 1: of the fact that he's accused of like scamming people

1056
00:52:58,760 --> 00:53:01,800
Speaker 1: in a Ponzi scheme. That's relevant experience for the Small

1057
00:53:01,840 --> 00:53:04,680
Speaker 1: Business Committee. I get it. This is like supposedly one

1058
00:53:04,719 --> 00:53:07,399
Speaker 1: of the less important or less noteworthy man he's or whatever.

1059
00:53:07,440 --> 00:53:09,440
Speaker 1: Macarthury tried to push him to the silens, et cetera.

1060
00:53:09,719 --> 00:53:12,360
Speaker 1: Although I personally think small business is very important to

1061
00:53:12,640 --> 00:53:15,040
Speaker 1: our economy and to American society as large as a

1062
00:53:15,080 --> 00:53:17,960
Speaker 1: small business own else. I get, Actually, that's an interesting

1063
00:53:18,000 --> 00:53:20,319
Speaker 1: washing in story. Small Business Committee sounds pretigious. Is actually

1064
00:53:20,320 --> 00:53:23,720
Speaker 1: one of the most least useful committees in all of Congress.

1065
00:53:23,760 --> 00:53:26,200
Speaker 1: It was only relevant during one time during COVID, actually,

1066
00:53:26,200 --> 00:53:28,279
Speaker 1: but it is hilarious that, you know, that's where they

1067
00:53:28,320 --> 00:53:31,960
Speaker 1: stuck him when his relevant experience is like scamming people

1068
00:53:32,040 --> 00:53:33,960
Speaker 1: in a Ponzi scheme. I just like to stand this man.

1069
00:53:34,080 --> 00:53:36,880
Speaker 1: I would need him to go away, Like, oh, I

1070
00:53:36,920 --> 00:53:39,640
Speaker 1: feel the opposite way, I, you know, putting aside the

1071
00:53:39,680 --> 00:53:41,480
Speaker 1: dog store, which is just like, oh the dogs. I

1072
00:53:41,520 --> 00:53:43,799
Speaker 1: can't even talk about that. It's just so horrendous and

1073
00:53:43,800 --> 00:53:47,279
Speaker 1: horrific and like just pure evil. But I enjoy the

1074
00:53:47,320 --> 00:53:50,000
Speaker 1: George Santos Staga. I'm fascinated by it. I think he

1075
00:53:50,160 --> 00:53:52,880
Speaker 1: is America's congressman. I think he is very reflective of

1076
00:53:52,920 --> 00:53:54,800
Speaker 1: the time in the era that we're living in. I

1077
00:53:54,840 --> 00:53:58,439
Speaker 1: don't know that anyone belongs in Congress more than this man. Ultimately, right,

1078
00:54:01,120 --> 00:54:03,279
Speaker 1: all right, sorry, really, Looknett Well. I've been covering a

1079
00:54:03,320 --> 00:54:05,560
Speaker 1: lot of health and wellness stuff lately here at breaking points,

1080
00:54:05,600 --> 00:54:07,800
Speaker 1: mostly because of my own personal interest, but also because

1081
00:54:07,800 --> 00:54:10,000
Speaker 1: of how much health and discussion around it has become

1082
00:54:10,120 --> 00:54:12,880
Speaker 1: terribly politicized. Since the outbreak of COVID. We've seen the

1083
00:54:12,960 --> 00:54:16,279
Speaker 1: perversion of science, especially with respect to pharmaceutical drugs and

1084
00:54:16,400 --> 00:54:19,759
Speaker 1: medical interventions, because I've become infused with social ideology that

1085
00:54:19,800 --> 00:54:22,800
Speaker 1: can have really destructive results if they become normalized to

1086
00:54:22,880 --> 00:54:25,880
Speaker 1: the general public. Perhaps the most destructive is a perpetual

1087
00:54:25,960 --> 00:54:29,120
Speaker 1: message recently that it's okay and not unhealthy to be obese,

1088
00:54:29,480 --> 00:54:31,680
Speaker 1: or that if you are, it's not your fault at all.

1089
00:54:32,000 --> 00:54:34,239
Speaker 1: Now it's just cringe magazines. It's not just them that

1090
00:54:34,320 --> 00:54:36,680
Speaker 1: are pumping this message. It's some of the most prestigious

1091
00:54:36,680 --> 00:54:39,840
Speaker 1: platforms in the United States, like sixty Minutes. I somehow

1092
00:54:39,920 --> 00:54:42,560
Speaker 1: miss this January first segment that they ran until it

1093
00:54:42,680 --> 00:54:45,240
Speaker 1: was featured and then debunked with my friend doctor Lane Norton.

1094
00:54:45,480 --> 00:54:48,240
Speaker 1: Listen with a straight face as this so called obesity

1095
00:54:48,360 --> 00:54:52,040
Speaker 1: expert claims, I've always heard that it's the fast food,

1096
00:54:52,360 --> 00:54:54,600
Speaker 1: that it's the diet cokes, that kind of thing that

1097
00:54:54,800 --> 00:54:57,279
Speaker 1: is the instigator. Is that true? So I think we

1098
00:54:57,360 --> 00:54:58,960
Speaker 1: have to look at the different causes of willbc's a

1099
00:54:59,000 --> 00:55:01,880
Speaker 1: big pie. One factor. But notice how I'm using this

1100
00:55:01,960 --> 00:55:04,240
Speaker 1: part of the pie right, But the number one cause

1101
00:55:04,280 --> 00:55:06,919
Speaker 1: of obesity is genetics. That means, if you are born

1102
00:55:06,960 --> 00:55:09,759
Speaker 1: to parents that have obesity, you have a fifty to

1103
00:55:09,880 --> 00:55:13,080
Speaker 1: eighty five percent likelihood of having the disease yourself, even

1104
00:55:13,520 --> 00:55:18,640
Speaker 1: with optimal diet, exercise, sleep management, stress management. So when

1105
00:55:18,680 --> 00:55:21,360
Speaker 1: people see families that have obesity, the assumption is what

1106
00:55:21,440 --> 00:55:24,080
Speaker 1: are they feeding those kids? As Lane points out on

1107
00:55:24,120 --> 00:55:26,560
Speaker 1: his Instagram page, that is just literally not true at all.

1108
00:55:26,880 --> 00:55:29,080
Speaker 1: The reason the kids of obese people are usually obese

1109
00:55:29,120 --> 00:55:32,080
Speaker 1: too is because their food environment and lifestyle mimics their

1110
00:55:32,120 --> 00:55:35,800
Speaker 1: obese parents. Genetics, of course will play some role, but

1111
00:55:35,920 --> 00:55:38,680
Speaker 1: let's say you transport that family unit to sub Saharan Africa,

1112
00:55:38,960 --> 00:55:41,680
Speaker 1: you really think they're still going to be obese. Obviously not,

1113
00:55:42,000 --> 00:55:44,799
Speaker 1: because the environment, both at a macro and micro level,

1114
00:55:44,880 --> 00:55:49,000
Speaker 1: is going to have a major outsized impact. Furthermore, this

1115
00:55:49,120 --> 00:55:53,239
Speaker 1: supposed expert actually denigrated fellow physicians for asking follow up

1116
00:55:53,320 --> 00:55:56,120
Speaker 1: questions to obese patients when they claim they are making

1117
00:55:56,239 --> 00:55:59,680
Speaker 1: lifestyle changes. Listen to what she's preaching. Seventy nine to

1118
00:56:00,080 --> 00:56:03,680
Speaker 1: ninety percent of physicians in the United States have significant

1119
00:56:03,760 --> 00:56:07,600
Speaker 1: bias towards individuals that are heavier. Now, doctors listening to

1120
00:56:07,680 --> 00:56:10,600
Speaker 1: me may say, oh, it's not me. Hold your horses,

1121
00:56:10,719 --> 00:56:14,120
Speaker 1: because has that patient come to you and told you, look, Doc,

1122
00:56:14,480 --> 00:56:18,879
Speaker 1: I'm eating well, Look Doc, I'm exercising, And the doc

1123
00:56:19,000 --> 00:56:21,880
Speaker 1: says to them, are you sure? I don't believe that

1124
00:56:21,960 --> 00:56:24,719
Speaker 1: that's really what you're doing. What are you saying that

1125
00:56:24,960 --> 00:56:30,160
Speaker 1: doctors don't understand obesity? Doctors, doctors do not understand obesity.

1126
00:56:30,719 --> 00:56:32,480
Speaker 1: Listen carefully to what you just said. If you have

1127
00:56:32,560 --> 00:56:34,839
Speaker 1: a doctor and you have an obese patient not losing

1128
00:56:34,880 --> 00:56:36,440
Speaker 1: weight who's coming to you and they tell you that

1129
00:56:36,520 --> 00:56:39,520
Speaker 1: they're making major lifestyle changes and nothing is working for them,

1130
00:56:39,880 --> 00:56:42,480
Speaker 1: you have quote a significant bias against that patient for

1131
00:56:42,600 --> 00:56:45,520
Speaker 1: asking a basic follow up question rooted in the fact

1132
00:56:45,560 --> 00:56:47,360
Speaker 1: that you know that if what they were saying was

1133
00:56:47,480 --> 00:56:50,760
Speaker 1: actually true, they would be losing weight at least somewhat.

1134
00:56:51,160 --> 00:56:53,560
Speaker 1: This is a cancer of so called bias training and

1135
00:56:53,640 --> 00:56:57,399
Speaker 1: of therapy culture worming its way into nutrition guidelines. It's

1136
00:56:57,480 --> 00:57:00,680
Speaker 1: exactly how the American Academy of Pediatrics got itself into

1137
00:57:00,719 --> 00:57:02,719
Speaker 1: a place last week where it says doctors should use

1138
00:57:02,800 --> 00:57:05,879
Speaker 1: drugs and surgery earlier in kids who have obesity without

1139
00:57:05,880 --> 00:57:09,399
Speaker 1: the appropriate emphasis on lifestyle intervention. But the story does

1140
00:57:09,440 --> 00:57:11,600
Speaker 1: not end there, because the doctor I just showed you

1141
00:57:11,800 --> 00:57:14,680
Speaker 1: is doctor Fatimas Stanford. She is a so called obesity

1142
00:57:14,719 --> 00:57:19,080
Speaker 1: medicine physicians scientist at Massachusetts Massachusetts General Hospital, and wouldn't

1143
00:57:19,080 --> 00:57:21,880
Speaker 1: you know also the quote equity director and in my

1144
00:57:22,040 --> 00:57:23,880
Speaker 1: research for this piece, take a look at what I

1145
00:57:24,040 --> 00:57:27,080
Speaker 1: just discovered. Three days ago, doctor Stanford thanked the Biden

1146
00:57:27,120 --> 00:57:30,880
Speaker 1: administrations USDA and Health in Human Services Agency for appointing

1147
00:57:30,920 --> 00:57:33,880
Speaker 1: her to the twenty twenty five Dietary Guidelines Advisory Committee.

1148
00:57:34,080 --> 00:57:36,400
Speaker 1: Doctor Stanford will be one of just twenty five public

1149
00:57:36,480 --> 00:57:39,600
Speaker 1: health so called experts that contribute to the expected twenty

1150
00:57:40,000 --> 00:57:43,400
Speaker 1: twenty five report, which will be the official US government

1151
00:57:43,480 --> 00:57:47,040
Speaker 1: recommendation on nutrition from twenty twenty five to twenty thirty.

1152
00:57:47,320 --> 00:57:51,160
Speaker 1: These nutrition guidelines have a big impact on society, food stamps,

1153
00:57:51,200 --> 00:57:53,320
Speaker 1: school lunches, to how people in the media just talk

1154
00:57:53,320 --> 00:57:55,600
Speaker 1: about it. It's very dangerous to have somebody like this

1155
00:57:55,720 --> 00:57:59,320
Speaker 1: shaping government nutrition policy. Someone who claims exercise, nutrition and

1156
00:57:59,360 --> 00:58:02,800
Speaker 1: lifestyle our secondary to genetic factors when we know that

1157
00:58:03,000 --> 00:58:05,800
Speaker 1: is not the case, and someone who is already spreading

1158
00:58:05,840 --> 00:58:08,640
Speaker 1: this poisonous message at one of the most influential hospitals

1159
00:58:08,640 --> 00:58:11,320
Speaker 1: in the world and Harvard University. And while I believe

1160
00:58:11,400 --> 00:58:14,360
Speaker 1: doctor Sandford is just your typical woke intellectual, we also

1161
00:58:14,440 --> 00:58:17,800
Speaker 1: have to question the financial incentives. Doctor Stanford's media tour

1162
00:58:17,840 --> 00:58:21,040
Speaker 1: has included past praise for the quote intuitive eating movement,

1163
00:58:21,080 --> 00:58:23,680
Speaker 1: which is a rise up against diet culture guidance to

1164
00:58:23,720 --> 00:58:26,000
Speaker 1: people that they should eat whatever their body tells him

1165
00:58:26,040 --> 00:58:29,280
Speaker 1: to possibly the dumbest advice on earth, considering how processed

1166
00:58:29,280 --> 00:58:32,400
Speaker 1: food is specifically designed to be as palatable as possible,

1167
00:58:32,680 --> 00:58:35,840
Speaker 1: but putting the idiocy of intuitive eating aside, check out

1168
00:58:35,880 --> 00:58:38,000
Speaker 1: this caveat that even The New York Times had to

1169
00:58:38,040 --> 00:58:41,320
Speaker 1: feature a quote. Doctor Stanford has served as an advisor

1170
00:58:41,520 --> 00:58:44,760
Speaker 1: for a number of pharmaceutical companies. Oh really, It actually

1171
00:58:44,800 --> 00:58:47,040
Speaker 1: only took a few searches to see that Stanford is

1172
00:58:47,160 --> 00:58:51,280
Speaker 1: even featured on the website for the leading manufacturer of semiglutide.

1173
00:58:51,480 --> 00:58:54,280
Speaker 1: You do a few more research search searches for open

1174
00:58:54,360 --> 00:58:57,440
Speaker 1: source data regarding doctor Stanford and who is paying her,

1175
00:58:57,720 --> 00:59:00,520
Speaker 1: and the results are astonishing or maybe not all that surprising.

1176
00:59:00,800 --> 00:59:03,000
Speaker 1: In twenty twenty one alone, she was paid over thirty

1177
00:59:03,040 --> 00:59:06,440
Speaker 1: five thousand dollars by Big Pharma. Fifteen thousand was paid

1178
00:59:06,480 --> 00:59:09,240
Speaker 1: by the manufacture of the we Go v weight loss drug,

1179
00:59:09,480 --> 00:59:12,560
Speaker 1: which she has been openly campaigning for in the media.

1180
00:59:13,080 --> 00:59:15,200
Speaker 1: Is it a coincidence that the vast majority of her

1181
00:59:15,240 --> 00:59:18,560
Speaker 1: consulting income, which is public record, came the very same

1182
00:59:18,680 --> 00:59:21,320
Speaker 1: year that the drug was approved by the FDA. Keep

1183
00:59:21,360 --> 00:59:23,920
Speaker 1: in mind twenty twenty two data is not even public

1184
00:59:24,120 --> 00:59:27,000
Speaker 1: when the drug actually reached escape velocity in our culture.

1185
00:59:27,320 --> 00:59:29,200
Speaker 1: She did an interview with The New York Times just

1186
00:59:29,360 --> 00:59:32,080
Speaker 1: a few days ago. Doctor Stanford said she had no

1187
00:59:32,280 --> 00:59:35,640
Speaker 1: concerns whatsoever about patients using semaglue tide on a long

1188
00:59:35,720 --> 00:59:38,560
Speaker 1: term basis to keep weight off, and actually advocated for

1189
00:59:38,680 --> 00:59:41,520
Speaker 1: a new bill to pass Congress called the Treatment to

1190
00:59:41,680 --> 00:59:45,600
Speaker 1: Reduce Obesity Act, which would authorize Medicare to cover that drug.

1191
00:59:45,920 --> 00:59:49,080
Speaker 1: That would be a billion dollar windfall for that drug

1192
00:59:49,160 --> 00:59:51,600
Speaker 1: company which is paying her. And look, to be clear,

1193
00:59:51,720 --> 00:59:54,160
Speaker 1: I think semi glue tide probably is an amazing drug

1194
00:59:54,240 --> 00:59:57,120
Speaker 1: for people who are morbidly obese. But what's really scared

1195
00:59:57,200 --> 01:00:01,880
Speaker 1: me is doctor Stanford analogizing weight loss drugs to SSRIs.

1196
01:00:02,200 --> 01:00:04,680
Speaker 1: How stigma on them needs to go down? Now, I

1197
01:00:04,720 --> 01:00:07,080
Speaker 1: don't believe in stigma for people who have depression, but

1198
01:00:07,160 --> 01:00:09,720
Speaker 1: didn't We also just learn this year that SSRIs do

1199
01:00:09,920 --> 01:00:11,919
Speaker 1: not work in the way that they claimed to work

1200
01:00:12,000 --> 01:00:15,280
Speaker 1: for a decade. The chemical and balanced thesis is bunk,

1201
01:00:15,560 --> 01:00:18,560
Speaker 1: even though SSRIs do seem to work in some capacity,

1202
01:00:18,960 --> 01:00:21,400
Speaker 1: just not the way that the drug company claimed. How

1203
01:00:21,480 --> 01:00:25,640
Speaker 1: many alternative treatments were lost because of SSRIs not given

1204
01:00:25,760 --> 01:00:28,360
Speaker 1: a chance. How many people were put on a pill

1205
01:00:28,480 --> 01:00:31,000
Speaker 1: with a dubious action mechanism when they could have tried

1206
01:00:31,040 --> 01:00:33,960
Speaker 1: something else. We don't need to do this again. There

1207
01:00:34,080 --> 01:00:37,240
Speaker 1: is no such thing as a silver bullet, especially when

1208
01:00:37,320 --> 01:00:39,320
Speaker 1: somebody is trying to sell it to you. I mean,

1209
01:00:39,360 --> 01:00:42,640
Speaker 1: I think it's a crazy story. The initial reason why,

1210
01:00:42,800 --> 01:00:45,120
Speaker 1: and if you want to hear my reaction to Sager's

1211
01:00:45,160 --> 01:00:51,560
Speaker 1: monologue become a premium subscriber today at Breakingpoints dot com. Chris,

1212
01:00:51,600 --> 01:00:53,480
Speaker 1: So what are you taking a look at? Well? As

1213
01:00:53,560 --> 01:00:56,560
Speaker 1: many of you probably already know, open warfare has broken

1214
01:00:56,600 --> 01:00:59,320
Speaker 1: out between two of the biggest figures in conservative media.

1215
01:00:59,320 --> 01:01:02,320
Speaker 1: That would be Steven Crowder and Ben Shapiro. And actually,

1216
01:01:02,920 --> 01:01:05,600
Speaker 1: given the amounts of money that are involved here, you

1217
01:01:05,640 --> 01:01:07,720
Speaker 1: could rightly say these are two of the biggest figures

1218
01:01:07,800 --> 01:01:10,640
Speaker 1: in media period. There is some real game of throne

1219
01:01:10,680 --> 01:01:12,720
Speaker 1: stuff going on here. I will walk you through the

1220
01:01:12,880 --> 01:01:15,320
Speaker 1: top line details, but for those who haven't been falling along,

1221
01:01:15,360 --> 01:01:18,040
Speaker 1: there are already a million videos out there analyzing claims

1222
01:01:18,360 --> 01:01:20,920
Speaker 1: and the counterclaims made by Crowder and made by Shapiro.

1223
01:01:21,440 --> 01:01:24,120
Speaker 1: You can decide for yourself whether Crowder is a brave

1224
01:01:24,160 --> 01:01:26,760
Speaker 1: warrior for the little guy or a mocki vellian figure

1225
01:01:26,920 --> 01:01:29,080
Speaker 1: throwing his longtime friends under the bus for a bigger

1226
01:01:29,120 --> 01:01:30,960
Speaker 1: payday and more clout. You can guess which side I

1227
01:01:31,000 --> 01:01:34,200
Speaker 1: come down on there personally, though, what I'm really interested

1228
01:01:34,280 --> 01:01:37,560
Speaker 1: in are the broader implications here. What does this civil

1229
01:01:37,600 --> 01:01:40,280
Speaker 1: war say about the current moment in the Republican Party,

1230
01:01:40,320 --> 01:01:43,520
Speaker 1: about conservative politics and about conservative media, all of which

1231
01:01:43,560 --> 01:01:47,120
Speaker 1: were up until very recently fairly unified ever since Trump

1232
01:01:47,200 --> 01:01:50,800
Speaker 1: first won the White House. So here briefly is the backstory.

1233
01:01:50,880 --> 01:01:54,440
Speaker 1: Last week, Steven Crowder released a video dramatically entitled It's

1234
01:01:54,560 --> 01:01:57,320
Speaker 1: Time to Stop, in which you produced a term sheet

1235
01:01:57,520 --> 01:02:00,280
Speaker 1: with an offer that he had received from a conservative

1236
01:02:00,320 --> 01:02:02,680
Speaker 1: media outlet. Now the details of this he described as

1237
01:02:02,800 --> 01:02:06,520
Speaker 1: immoral and actually even likened to slavery. Take a listen,

1238
01:02:06,720 --> 01:02:10,320
Speaker 1: and I don't just mean unreasonable demands for control, but

1239
01:02:10,520 --> 01:02:16,200
Speaker 1: what I would argue are immoral terms that actually punish

1240
01:02:16,440 --> 01:02:21,680
Speaker 1: conservative content creators on behalf of big tech kids, kids

1241
01:02:21,760 --> 01:02:24,439
Speaker 1: out there coming up. We need to build a bench

1242
01:02:24,480 --> 01:02:28,600
Speaker 1: here in this movement. It's almost impossible. Don't sign. Don't

1243
01:02:28,600 --> 01:02:33,120
Speaker 1: sign these contracts. I know, I now know what you

1244
01:02:33,200 --> 01:02:34,720
Speaker 1: are signing out there. I have the luxury of not

1245
01:02:34,880 --> 01:02:38,320
Speaker 1: having to I don't have to be here, I don't

1246
01:02:38,360 --> 01:02:42,320
Speaker 1: have to say this. Please don't sign this. So Crowder

1247
01:02:42,360 --> 01:02:44,880
Speaker 1: portrayed the offer as proving that quote big con the

1248
01:02:44,920 --> 01:02:47,400
Speaker 1: conservative media complex was in the pocket a big tech

1249
01:02:47,480 --> 01:02:50,960
Speaker 1: doing their bidding, and he urged his viewers to send him,

1250
01:02:51,000 --> 01:02:53,720
Speaker 1: Stephen Crowder their email addresses at a new website in

1251
01:02:53,840 --> 01:02:56,840
Speaker 1: order to fight back against these evil forces. Now, he

1252
01:02:57,000 --> 01:03:00,479
Speaker 1: did not originally name the outlet that this offending offer

1253
01:03:00,600 --> 01:03:03,080
Speaker 1: came from, but it was almost immediately obvious that he

1254
01:03:03,200 --> 01:03:06,160
Speaker 1: was talking about Ben Shapiro's The Daily Wire. Now that

1255
01:03:06,400 --> 01:03:09,440
Speaker 1: outlet responded by sending out the company's CEO to go

1256
01:03:09,600 --> 01:03:12,040
Speaker 1: line by line through this term sheet, revealing that the

1257
01:03:12,120 --> 01:03:16,000
Speaker 1: offer Crowder had compared to literal slavery was for fifty

1258
01:03:16,240 --> 01:03:20,920
Speaker 1: million dollars over four years. This led to another response

1259
01:03:21,040 --> 01:03:23,000
Speaker 1: video from Crowder where he played parts of a call

1260
01:03:23,120 --> 01:03:25,800
Speaker 1: that he had secretly recorded was said Daily Wire CEO,

1261
01:03:26,240 --> 01:03:29,680
Speaker 1: and finally a full response from Shapiro himself, who revealed

1262
01:03:29,680 --> 01:03:32,880
Speaker 1: a timeline which suggests very heavily that Crowder had planned

1263
01:03:32,880 --> 01:03:35,920
Speaker 1: this whole dramatic ploy for a number of months. In particular,

1264
01:03:36,040 --> 01:03:38,880
Speaker 1: Shapiro claims Crowder had already had this term sheet four

1265
01:03:38,920 --> 01:03:42,200
Speaker 1: months and had already registered the stout big Conn website

1266
01:03:42,640 --> 01:03:45,160
Speaker 1: before he went ahead and set up that call with

1267
01:03:45,320 --> 01:03:48,840
Speaker 1: the Daily Wire CEO, which he then secretly recorded. Anyway,

1268
01:03:48,920 --> 01:03:50,560
Speaker 1: like I said, if you're curious about all the nitty

1269
01:03:50,560 --> 01:03:52,720
Speaker 1: gritty details, you can watch the whole multi hour back

1270
01:03:52,720 --> 01:03:55,000
Speaker 1: and forth yourself. You can see what any number of

1271
01:03:55,080 --> 01:03:57,960
Speaker 1: thorough analysis videos has to say about it. Now, I

1272
01:03:58,120 --> 01:04:01,680
Speaker 1: honestly wouldn't normally cover this kind of intracreator drama, but

1273
01:04:01,760 --> 01:04:04,640
Speaker 1: the civil war between two giants of conservative media. It

1274
01:04:04,760 --> 01:04:07,800
Speaker 1: comes at a fascinating moment for the GOP. This war

1275
01:04:08,040 --> 01:04:11,800
Speaker 1: between Shapiro and Crowder, it feels like opening shots in

1276
01:04:11,880 --> 01:04:14,440
Speaker 1: a schism that is opening up in the Republican Party

1277
01:04:14,480 --> 01:04:17,200
Speaker 1: as Trump loses his full power and grip on the

1278
01:04:17,240 --> 01:04:20,000
Speaker 1: conservative flock. Since Trump took the White House and the

1279
01:04:20,080 --> 01:04:23,080
Speaker 1: never Trumpers fully exited the movement, conservative media, and the

1280
01:04:23,120 --> 01:04:25,760
Speaker 1: Republican Party as a whole, it's really been pretty unified

1281
01:04:25,920 --> 01:04:28,920
Speaker 1: behind Donald Trump. There's a sense their movement was ascendant

1282
01:04:29,000 --> 01:04:31,320
Speaker 1: and that, despite some setbacks, they really had the Libs

1283
01:04:31,360 --> 01:04:33,400
Speaker 1: on the ropes. That's not to say that none of

1284
01:04:33,480 --> 01:04:35,560
Speaker 1: these figures ever criticized the big Man. I know Shapiro

1285
01:04:35,640 --> 01:04:37,600
Speaker 1: in particular did from time to time, but there was

1286
01:04:37,640 --> 01:04:40,440
Speaker 1: no alternative to Trump and no clear fissures to exploit

1287
01:04:40,600 --> 01:04:43,600
Speaker 1: for profit. Their dash mid term hopes, though, seem to

1288
01:04:43,640 --> 01:04:46,400
Speaker 1: open up some wounds and some blame Gate. So Crowder

1289
01:04:46,480 --> 01:04:49,520
Speaker 1: has seized on a market opportunity to force open those

1290
01:04:49,640 --> 01:04:53,320
Speaker 1: new fissures, and make no mistake, fishers and divisions, they

1291
01:04:53,360 --> 01:04:56,040
Speaker 1: can be quite profitable in the new media ecosystem. The

1292
01:04:56,120 --> 01:04:58,360
Speaker 1: size of your audience, of course, that matters, but what

1293
01:04:58,560 --> 01:05:01,560
Speaker 1: matters a lot more is their level of dedication to you.

1294
01:05:02,040 --> 01:05:04,880
Speaker 1: Alex Jones here is a prime example. After being a

1295
01:05:04,880 --> 01:05:08,680
Speaker 1: deep platform basically everywhere and basically given the Internet death penalty,

1296
01:05:09,120 --> 01:05:14,040
Speaker 1: Jones's overall audience numbers, of course dropped significantly, but the

1297
01:05:14,160 --> 01:05:17,960
Speaker 1: remaining viewers became more die hard than ever, more committed,

1298
01:05:18,040 --> 01:05:21,040
Speaker 1: and reportedly through their purchases of supplements and survival kits

1299
01:05:21,080 --> 01:05:23,680
Speaker 1: in info Wars, merchant whatever else he is selling, Jones

1300
01:05:23,800 --> 01:05:28,120
Speaker 1: actually made more money posty platforming than he did before.

1301
01:05:28,520 --> 01:05:30,640
Speaker 1: So Crowder, who's of course at bottom of capitalist and

1302
01:05:30,720 --> 01:05:32,880
Speaker 1: like any good capitalists, highly interested in the bottom line,

1303
01:05:33,160 --> 01:05:36,280
Speaker 1: he sees a real market opportunity here to exploit by

1304
01:05:36,360 --> 01:05:40,120
Speaker 1: positioning himself as the true movement leader, more principled in

1305
01:05:40,200 --> 01:05:43,480
Speaker 1: battling against big tech, more representative of the conservative masses

1306
01:05:43,520 --> 01:05:47,160
Speaker 1: than Shapiro's Daily Wire, which he labels the Big Con. Now,

1307
01:05:47,240 --> 01:05:50,080
Speaker 1: Shapiro is also clearly on Team DeSantis for the coming

1308
01:05:50,120 --> 01:05:52,920
Speaker 1: Republican twenty twenty four primary, a posture that some Trump

1309
01:05:52,960 --> 01:05:56,360
Speaker 1: supporters are labeling as being establishment. As far as I know,

1310
01:05:56,440 --> 01:05:58,720
Speaker 1: Crowder hasn't really picked aside yet. He's praised both to

1311
01:05:58,800 --> 01:06:01,320
Speaker 1: Santas and Trump. But everyone's gonna have to make a choice,

1312
01:06:01,360 --> 01:06:02,960
Speaker 1: and they're gonna have to make that choice pretty soon.

1313
01:06:03,280 --> 01:06:05,280
Speaker 1: Would make a lot of sense if Crowder ultimately went

1314
01:06:05,360 --> 01:06:07,840
Speaker 1: right from positioning himself as the true voice and defender

1315
01:06:07,880 --> 01:06:09,960
Speaker 1: of the conservative base, and by the way, has a

1316
01:06:10,000 --> 01:06:13,280
Speaker 1: side note defending Kanye West on his Hitler loving insanity

1317
01:06:13,640 --> 01:06:17,040
Speaker 1: to then steadfastly backing Trump for the twenty twenty four primary.

1318
01:06:17,280 --> 01:06:19,840
Speaker 1: After all, Trump's power might have slipped, but he is

1319
01:06:19,880 --> 01:06:23,040
Speaker 1: still very popular among Republicans and still the favorite to

1320
01:06:23,080 --> 01:06:26,240
Speaker 1: win the next GOP nominating contest. In fact, the latest

1321
01:06:26,280 --> 01:06:28,320
Speaker 1: polling has Trump beating a desantist by twenty points in

1322
01:06:28,360 --> 01:06:30,320
Speaker 1: a divided primary field and ten points in a head

1323
01:06:30,320 --> 01:06:34,040
Speaker 1: to head matchup. So this fracturing is most significant as

1324
01:06:34,080 --> 01:06:35,840
Speaker 1: the side of the times a sign that we have

1325
01:06:36,120 --> 01:06:39,120
Speaker 1: already arrived at a big split in the conservative movement

1326
01:06:39,360 --> 01:06:42,520
Speaker 1: as an ugly twenty twenty four GOP primary looms. It

1327
01:06:42,680 --> 01:06:44,800
Speaker 1: is no accident this comes on the heels of some

1328
01:06:44,960 --> 01:06:47,320
Speaker 1: nasty infighting the Republican House Caucus for the Guards, the

1329
01:06:47,320 --> 01:06:50,640
Speaker 1: election of speargrou McCarthy, including reports of a bathroom screaming

1330
01:06:50,680 --> 01:06:53,680
Speaker 1: match between Lauren Bobert Marjorie Taylor Green, and your fisticuffs

1331
01:06:53,720 --> 01:06:55,680
Speaker 1: on the House floor between rebel leader Matt Gates and

1332
01:06:55,760 --> 01:06:58,960
Speaker 1: McCarthy loyalist Mike Rodgers. Now, the dividing lines there were

1333
01:06:59,000 --> 01:07:01,080
Speaker 1: quite muddled by the fact you had Trump loyalists on

1334
01:07:01,160 --> 01:07:03,480
Speaker 1: both sides of the fight, But the fracturing in the

1335
01:07:03,520 --> 01:07:06,520
Speaker 1: squabbles they tell the same story. The gop unity of

1336
01:07:06,560 --> 01:07:09,160
Speaker 1: the Trump arrow is over. The only question now is

1337
01:07:09,240 --> 01:07:12,280
Speaker 1: the contours of the divides and who falls on which side.

1338
01:07:12,960 --> 01:07:14,480
Speaker 1: This is going to be ugly for the right, and

1339
01:07:14,600 --> 01:07:18,280
Speaker 1: plenty will be personal, gratuitous, petty, bad faith, et cetera.

1340
01:07:18,760 --> 01:07:22,200
Speaker 1: But unity as we see right now on the Democratic side,

1341
01:07:22,240 --> 01:07:24,960
Speaker 1: with every single member bending. The need of leadership that

1342
01:07:25,120 --> 01:07:28,440
Speaker 1: has its own kind of ugliness requires everyone to ignore

1343
01:07:28,720 --> 01:07:31,240
Speaker 1: or cover for the insanities, the corruption, the ugliness and

1344
01:07:31,280 --> 01:07:33,880
Speaker 1: the lies, and the name of team loyalty. It protects

1345
01:07:34,000 --> 01:07:37,640
Speaker 1: power for an existing set of failed leaders. It quashes

1346
01:07:37,720 --> 01:07:40,200
Speaker 1: all debate, the good faith and principle, as well as

1347
01:07:40,280 --> 01:07:44,560
Speaker 1: the bad faith and absurd in a functioning democracy. Battles

1348
01:07:44,600 --> 01:07:46,200
Speaker 1: of the sword that are breaking out on the right

1349
01:07:46,320 --> 01:07:48,960
Speaker 1: right now, they can be healthy, they can be positive.

1350
01:07:49,000 --> 01:07:51,240
Speaker 1: They can lead to rebirth and renewal rather than a

1351
01:07:51,320 --> 01:07:54,040
Speaker 1: festering quagmire that's maintained because everyone who has a voice

1352
01:07:54,080 --> 01:07:57,680
Speaker 1: is too afraid to challenge the status quo. But unfortunately,

1353
01:07:58,200 --> 01:08:00,920
Speaker 1: debates over the future of the Republican Party, in my opinion,

1354
01:08:01,160 --> 01:08:05,400
Speaker 1: have long ago lost any real content. Trump Ism collapsed

1355
01:08:05,480 --> 01:08:08,760
Speaker 1: pretty quickly from any sort of policy agenda to loyalty tests,

1356
01:08:08,880 --> 01:08:11,560
Speaker 1: vibes and aesthetics. That's how you can have TEA partiers

1357
01:08:11,600 --> 01:08:14,200
Speaker 1: plotting to cut Social Security posturing as MAGA at the

1358
01:08:14,240 --> 01:08:16,600
Speaker 1: same time as Trump himself declares that social Security and

1359
01:08:16,640 --> 01:08:19,920
Speaker 1: Medicare cuts should be absolutely off the table. That's how

1360
01:08:19,960 --> 01:08:22,920
Speaker 1: you can have the supposed populist himself, Trump having a

1361
01:08:23,160 --> 01:08:25,479
Speaker 1: giant tax cut for the rich as his single most

1362
01:08:25,600 --> 01:08:30,000
Speaker 1: significant achievement in office. So I fully expect the brewing

1363
01:08:30,080 --> 01:08:33,080
Speaker 1: war for the GOP to follow precisely the model we

1364
01:08:33,160 --> 01:08:36,040
Speaker 1: have just seen of Crowder versus Shapiro. It will be

1365
01:08:36,160 --> 01:08:39,519
Speaker 1: as ugly as Steven Crowder secretly recording calls from longtime

1366
01:08:39,600 --> 01:08:42,400
Speaker 1: friends and allies. It will be as absurd as claiming

1367
01:08:42,479 --> 01:08:46,439
Speaker 1: a fifty million dollar contract is literal slavery, and as

1368
01:08:46,600 --> 01:08:49,160
Speaker 1: meaningless as to died in the wool. Capitalists funded by

1369
01:08:49,200 --> 01:08:52,880
Speaker 1: billionaires posturing as true adversaries to corporate giants, like with

1370
01:08:52,960 --> 01:08:55,720
Speaker 1: Crowder versus Shapiro. The amount of money involved, it will

1371
01:08:55,720 --> 01:08:58,640
Speaker 1: be truly shocking. Bottom line, it'll be a struggle for

1372
01:08:58,680 --> 01:09:01,320
Speaker 1: power and influence, for the safe of power and influence,

1373
01:09:01,640 --> 01:09:05,360
Speaker 1: fought via manufactured proxy wars. There's really no side worth

1374
01:09:05,400 --> 01:09:07,880
Speaker 1: taking here. The only thing to do is grab the

1375
01:09:07,920 --> 01:09:11,799
Speaker 1: popcord and enjoy the fireworks. So that's my take, Sager.

1376
01:09:12,080 --> 01:09:14,280
Speaker 1: Interesting and if you want to hear my reaction to

1377
01:09:14,439 --> 01:09:18,280
Speaker 1: Crystal's monologue, become a premium subscriber today at breakingpoints dot com.

1378
01:09:21,160 --> 01:09:24,280
Speaker 1: Jenaiferman is a staff writer for Labor Notes, and he

1379
01:09:24,439 --> 01:09:26,040
Speaker 1: joins us, Now, great to see you, Jonah, good to

1380
01:09:26,080 --> 01:09:30,400
Speaker 1: see man. Yeah. Likewise, so we have the piece that

1381
01:09:30,479 --> 01:09:32,519
Speaker 1: you wrote actually for Jack Ben. Let's go and put

1382
01:09:32,560 --> 01:09:34,120
Speaker 1: this up on the screen and I'll read some of

1383
01:09:34,200 --> 01:09:37,439
Speaker 1: the key data that came out in this pure labor

1384
01:09:37,479 --> 01:09:41,639
Speaker 1: statistics report showing that Even though the number of unionized

1385
01:09:41,680 --> 01:09:44,400
Speaker 1: workers did rise, union density, as has been the trend

1386
01:09:44,400 --> 01:09:47,560
Speaker 1: for a long time, continued to fall. That's the percentage

1387
01:09:47,600 --> 01:09:50,439
Speaker 1: of the workforce that is unionized, you say here, The

1388
01:09:50,520 --> 01:09:52,599
Speaker 1: headline grabber in this year's release is that there were,

1389
01:09:52,720 --> 01:09:55,120
Speaker 1: by the bureau's count, two hundred and seventy three thousand

1390
01:09:55,520 --> 01:09:58,080
Speaker 1: more union members in twenty twenty two than in twenty

1391
01:09:58,120 --> 01:10:00,920
Speaker 1: twenty one, but overall union density continue to follow to

1392
01:10:01,040 --> 01:10:05,599
Speaker 1: its lowest level ten point one percent since the nineteen twenties.

1393
01:10:06,120 --> 01:10:08,320
Speaker 1: You go on to ask, how does that happen? Union

1394
01:10:08,439 --> 01:10:12,040
Speaker 1: jobs are growing, but non union jobs are growing faster.

1395
01:10:12,240 --> 01:10:15,120
Speaker 1: So as you dug into the data here, Jonah, what

1396
01:10:15,240 --> 01:10:19,320
Speaker 1: did you find? Yeah, I mean, I think the big

1397
01:10:19,760 --> 01:10:21,920
Speaker 1: headline that people should appreciate is that we're in a

1398
01:10:22,000 --> 01:10:26,719
Speaker 1: long period of declines since nineteen eighty and that's still happening.

1399
01:10:27,360 --> 01:10:30,599
Speaker 1: The headline is sort of that this is the biggest

1400
01:10:30,640 --> 01:10:33,840
Speaker 1: increase in union jobs since the Great Recession, since two

1401
01:10:33,880 --> 01:10:36,559
Speaker 1: thousand and eight. So maybe there's some signs of hope there,

1402
01:10:36,600 --> 01:10:38,960
Speaker 1: But if you dig a little deeper, it's a lot

1403
01:10:39,000 --> 01:10:41,360
Speaker 1: of that is pandemic recovery, a lot of that is

1404
01:10:41,439 --> 01:10:44,760
Speaker 1: growth of industries that happened to already be unionized. It's

1405
01:10:44,880 --> 01:10:48,200
Speaker 1: not as much as you might think from reading headlines

1406
01:10:48,200 --> 01:10:51,600
Speaker 1: about Starbucks and Amazon and big new organizing. We're not

1407
01:10:51,760 --> 01:10:55,439
Speaker 1: there yet. The tide has not turned. And really looking

1408
01:10:55,520 --> 01:10:58,400
Speaker 1: at ten and twenty year trends, we're still on the

1409
01:10:58,479 --> 01:11:01,840
Speaker 1: same path we've been since Reagan and since you know,

1410
01:11:01,960 --> 01:11:05,280
Speaker 1: late Jim Carter era. So just when people are trying

1411
01:11:05,280 --> 01:11:07,240
Speaker 1: to think like where are we at in the union moment,

1412
01:11:07,600 --> 01:11:12,040
Speaker 1: we're still in this period of slide and there's hopeful points,

1413
01:11:12,120 --> 01:11:15,160
Speaker 1: but just kind of digging into the numbers, that's still

1414
01:11:15,240 --> 01:11:17,479
Speaker 1: the situation. So, Jonah, there was a lot of a

1415
01:11:17,720 --> 01:11:21,439
Speaker 1: theorization that it might help. The post pandemic moment, unions

1416
01:11:21,479 --> 01:11:24,200
Speaker 1: had more approval than ever. So where is the systemic

1417
01:11:24,320 --> 01:11:29,920
Speaker 1: drop coming from? Well, I mean it's coming, you know,

1418
01:11:30,400 --> 01:11:33,240
Speaker 1: from everywhere. Basically, there's not a lot of places that

1419
01:11:33,439 --> 01:11:36,639
Speaker 1: it's not that are not seeing decline. Now there's year

1420
01:11:36,720 --> 01:11:38,800
Speaker 1: over a year sort of blips, like we saw big

1421
01:11:38,880 --> 01:11:41,800
Speaker 1: growth in hospitality union members this year, but a lot

1422
01:11:41,840 --> 01:11:45,120
Speaker 1: of that is the hospitality industry coming back. So if

1423
01:11:45,160 --> 01:11:47,960
Speaker 1: you look still again on the ten to twenty year trends,

1424
01:11:48,080 --> 01:11:51,400
Speaker 1: let alone the forty fifty year trends. We see obviously

1425
01:11:51,560 --> 01:11:54,760
Speaker 1: huge drops in manufacturing. This is something like seventy percent

1426
01:11:54,840 --> 01:11:57,240
Speaker 1: of the membership loss of the past twenty years. As

1427
01:11:57,280 --> 01:12:00,800
Speaker 1: you just lose millions of manufacturing jobs, but you also

1428
01:12:01,000 --> 01:12:05,960
Speaker 1: lose disproportionately the unions and the unionized jobs of that share.

1429
01:12:06,280 --> 01:12:09,479
Speaker 1: Same thing in construction. But what's interesting it's also in

1430
01:12:09,720 --> 01:12:12,160
Speaker 1: the public sectors. So at the postal service, a big

1431
01:12:12,560 --> 01:12:15,679
Speaker 1: source of union jobs, we've probably lost three hundred thousand

1432
01:12:15,760 --> 01:12:19,639
Speaker 1: union members in twenty twenty five years. You know, even

1433
01:12:19,680 --> 01:12:22,680
Speaker 1: in the federal sector, federal workers who are you know,

1434
01:12:22,760 --> 01:12:25,240
Speaker 1: the public sector is supposed to be easier to unionize

1435
01:12:26,000 --> 01:12:29,240
Speaker 1: for certain reasons, there's not. You know, certain states that

1436
01:12:29,360 --> 01:12:32,880
Speaker 1: have jurisdiction over it have different rules, but certain blue states,

1437
01:12:33,080 --> 01:12:35,720
Speaker 1: you know, prop up unionism of the public sector. But

1438
01:12:35,840 --> 01:12:39,400
Speaker 1: even there we've seen density mostly fall and where we've

1439
01:12:39,439 --> 01:12:42,800
Speaker 1: seen sort of unions hold on. It's more about the

1440
01:12:42,880 --> 01:12:47,360
Speaker 1: growth of different industries. So education, healthcare a decently strong

1441
01:12:48,640 --> 01:12:52,320
Speaker 1: union industry, but density hasn't gone up. Density being the

1442
01:12:52,400 --> 01:12:54,760
Speaker 1: proportion of the workers who are unionized, So it's been

1443
01:12:55,120 --> 01:12:58,320
Speaker 1: you know, around a third or less thirty percent for

1444
01:12:58,640 --> 01:13:01,920
Speaker 1: some of these industries that hasn't climbed despite you know,

1445
01:13:02,360 --> 01:13:05,720
Speaker 1: more strikes, more interest in unionization, And part of it

1446
01:13:05,840 --> 01:13:07,720
Speaker 1: is because this lags, right, You're not going to have

1447
01:13:08,200 --> 01:13:12,160
Speaker 1: a huge increase in union density. Because Starbucks workers organized

1448
01:13:12,160 --> 01:13:14,719
Speaker 1: six months ago. We're talking on the scale of millions

1449
01:13:14,760 --> 01:13:18,120
Speaker 1: of workers, but we have not yet flattened or reversed

1450
01:13:18,160 --> 01:13:21,120
Speaker 1: the trend. And Jonah, that brings up a good question,

1451
01:13:21,240 --> 01:13:24,559
Speaker 1: which is, you know, we covered obviously the Starbucks workers

1452
01:13:24,720 --> 01:13:27,600
Speaker 1: and their incredible movement, the way it's spread like wildfire,

1453
01:13:27,720 --> 01:13:31,240
Speaker 1: and also the way it upbended some conventional wisdom about

1454
01:13:31,360 --> 01:13:36,400
Speaker 1: which workplaces you could even unionize. We obviously covered Amazon

1455
01:13:36,520 --> 01:13:39,479
Speaker 1: Labor union their stunning victory, which was, you know, true

1456
01:13:39,600 --> 01:13:44,599
Speaker 1: David glives story. Is it possible that these wins are

1457
01:13:44,760 --> 01:13:48,839
Speaker 1: more significant than their numbers would indicate, in that perhaps

1458
01:13:48,920 --> 01:13:52,080
Speaker 1: they you know, they shift what's possible, They shift a

1459
01:13:52,160 --> 01:13:56,000
Speaker 1: public perception of where and how and who can organize

1460
01:13:56,280 --> 01:13:59,160
Speaker 1: that they light a fire under some you know, entrench

1461
01:13:59,280 --> 01:14:02,559
Speaker 1: union bureaucracy that's kind of been sitting back on the laurels.

1462
01:14:03,080 --> 01:14:05,800
Speaker 1: Is it possible that even though things didn't really fully

1463
01:14:05,920 --> 01:14:09,400
Speaker 1: turn around in twenty twenty two you saw the beginning

1464
01:14:09,560 --> 01:14:14,439
Speaker 1: of what could be a different trend line. Yeah, totally.

1465
01:14:14,520 --> 01:14:16,479
Speaker 1: I mean, I think one of the main ways to

1466
01:14:16,600 --> 01:14:19,479
Speaker 1: read this report every year is to say there is

1467
01:14:19,680 --> 01:14:22,960
Speaker 1: no universe in which we turn this around using the

1468
01:14:23,000 --> 01:14:24,920
Speaker 1: tools we've been using and the tools that we have.

1469
01:14:25,200 --> 01:14:29,519
Speaker 1: So the NLRB, for example, just going through those union elections,

1470
01:14:29,760 --> 01:14:32,960
Speaker 1: something like seventy thousand workers joined unions through the NLRB

1471
01:14:33,120 --> 01:14:35,680
Speaker 1: this year. That's compared to it's like half a percentage

1472
01:14:35,720 --> 01:14:38,200
Speaker 1: point of the total number of union workers. So one

1473
01:14:38,240 --> 01:14:40,519
Speaker 1: thing that tells you is that it's going to take

1474
01:14:41,160 --> 01:14:45,560
Speaker 1: sort of geometric or exponential increase in unionization, which is

1475
01:14:45,600 --> 01:14:48,640
Speaker 1: going to mean things beyond what the union staff that

1476
01:14:48,720 --> 01:14:51,559
Speaker 1: currently exists can do. It's going to mean something catching

1477
01:14:51,640 --> 01:14:54,280
Speaker 1: on like wildfire. It's going to mean big political changes.

1478
01:14:54,720 --> 01:14:58,920
Speaker 1: When we've seen leaps in unionization, it's not for the

1479
01:14:59,000 --> 01:15:02,519
Speaker 1: most part, just that the staff organizers or the unions

1480
01:15:02,600 --> 01:15:05,120
Speaker 1: that do exist are just doing a much better job.

1481
01:15:05,160 --> 01:15:08,120
Speaker 1: That's a key. That part has to happen too, but

1482
01:15:08,280 --> 01:15:11,400
Speaker 1: it also has to change sort of people's common sense

1483
01:15:11,400 --> 01:15:14,880
Speaker 1: about unions, and we have to see union organizing that

1484
01:15:15,160 --> 01:15:19,080
Speaker 1: far outpaces what the current structures are able to take

1485
01:15:19,160 --> 01:15:21,880
Speaker 1: in and so I think the surprise victories from the

1486
01:15:21,920 --> 01:15:24,920
Speaker 1: Amazon labor union, from the Starbucks workers are a huge

1487
01:15:24,960 --> 01:15:26,840
Speaker 1: part of it. The other huge part of it to

1488
01:15:26,960 --> 01:15:30,759
Speaker 1: me is seeing unions that are turning around after decades.

1489
01:15:30,840 --> 01:15:33,160
Speaker 1: So this year, I think the big twenty twenty three

1490
01:15:33,560 --> 01:15:36,919
Speaker 1: labor story is not going to be the new organizing

1491
01:15:37,040 --> 01:15:39,880
Speaker 1: numbers or you know, our density or how many members

1492
01:15:39,960 --> 01:15:41,880
Speaker 1: we grow, but it's going to be that this summer,

1493
01:15:42,160 --> 01:15:45,600
Speaker 1: it's quite possible that UPS and the big three automakers

1494
01:15:45,880 --> 01:15:47,439
Speaker 1: are all going to go on strike. We're going to

1495
01:15:47,479 --> 01:15:52,320
Speaker 1: have some of the most workers on strike at UPS

1496
01:15:52,840 --> 01:15:55,360
Speaker 1: since nineteen ninety seven, the last UPS strike and one

1497
01:15:55,400 --> 01:15:57,760
Speaker 1: of the biggest strikes in history. You know, if that's

1498
01:15:57,800 --> 01:16:00,680
Speaker 1: how this goes, we're suddenly talking about a level of

1499
01:16:00,840 --> 01:16:06,280
Speaker 1: like inspiration, political influence that's not just about did we

1500
01:16:06,360 --> 01:16:08,760
Speaker 1: get five thousand members here or there. So I think

1501
01:16:08,800 --> 01:16:11,439
Speaker 1: that's totally right. I do think it's important to look

1502
01:16:11,479 --> 01:16:15,280
Speaker 1: at the numbers and remind yourself sort of where we're at.

1503
01:16:15,360 --> 01:16:18,320
Speaker 1: We're still coming down and it's going to take all

1504
01:16:18,439 --> 01:16:22,280
Speaker 1: different sorts of turnarounds, explicit turnarounds. Right, So in the

1505
01:16:22,320 --> 01:16:24,960
Speaker 1: Team Streets, you've had new leadership saying what we've been

1506
01:16:25,000 --> 01:16:27,080
Speaker 1: doing for twenty five years is not working. We're going

1507
01:16:27,120 --> 01:16:28,800
Speaker 1: to run against the leadership. We're going to turn it

1508
01:16:28,800 --> 01:16:31,160
Speaker 1: around and go on strength. Same in the UAW you

1509
01:16:31,200 --> 01:16:33,519
Speaker 1: have people running who are saying we are not going

1510
01:16:33,600 --> 01:16:35,360
Speaker 1: to do what we've been doing for thirty years, for

1511
01:16:35,560 --> 01:16:39,400
Speaker 1: fifty years, and we're going to run a huge strike

1512
01:16:39,479 --> 01:16:42,400
Speaker 1: and organize all the southern factories. You know, things like that.

1513
01:16:42,720 --> 01:16:45,080
Speaker 1: We're going to need to see change on that scale.

1514
01:16:45,120 --> 01:16:50,040
Speaker 1: That's challenging the entire status quo of unionism in this country. Yeah,

1515
01:16:50,479 --> 01:16:52,240
Speaker 1: things that are going to be really important to watch

1516
01:16:52,280 --> 01:16:54,479
Speaker 1: for the future. I know I've also had my eye

1517
01:16:54,520 --> 01:16:56,800
Speaker 1: on that potential ups strike for a while. I mean,

1518
01:16:56,800 --> 01:17:01,479
Speaker 1: the new leadership of the Team stairs and explicitly on

1519
01:17:01,600 --> 01:17:04,760
Speaker 1: a pledge to be more militant in these contract negotiations

1520
01:17:04,840 --> 01:17:06,920
Speaker 1: and to be willing to strike. Obviously, that would be

1521
01:17:06,920 --> 01:17:08,880
Speaker 1: a huge deal and labor movement would be a huge

1522
01:17:08,960 --> 01:17:15,240
Speaker 1: deal nationwide and in terms of the political ecosystem overall. So, Jonah,

1523
01:17:15,280 --> 01:17:17,320
Speaker 1: thank you so much. It's a great article. People should

1524
01:17:17,360 --> 01:17:18,960
Speaker 1: check it out, and you always do a fantastic job

1525
01:17:19,400 --> 01:17:22,160
Speaker 1: laying out exactly what is what within the labor movement,

1526
01:17:22,200 --> 01:17:24,200
Speaker 1: the wins, the losses and everything in between. So so

1527
01:17:24,280 --> 01:17:28,000
Speaker 1: great to see you. Thanks man. Yeah, thanks guys. Yeah,

1528
01:17:28,000 --> 01:17:30,280
Speaker 1: our pleasure. Thank you guys so much for watching. Really

1529
01:17:30,280 --> 01:17:32,120
Speaker 1: appreciate it. We got the live show going on. We're

1530
01:17:32,120 --> 01:17:34,240
Speaker 1: going to debut some merch later on today on our

1531
01:17:34,320 --> 01:17:36,560
Speaker 1: channel for that live show, specifically in Austin, So you

1532
01:17:36,640 --> 01:17:38,720
Speaker 1: got to buy your tickets if you want access to

1533
01:17:38,800 --> 01:17:41,120
Speaker 1: that otherwise. We love our premium members. Thank you guys

1534
01:17:41,160 --> 01:17:44,439
Speaker 1: so much for supporting us as we're gearing up, getting

1535
01:17:44,479 --> 01:17:46,439
Speaker 1: prepared for twenty twenty four and all of that, and

1536
01:17:46,560 --> 01:17:49,160
Speaker 1: considering the major upgrades that we're having right now to

1537
01:17:49,320 --> 01:17:51,320
Speaker 1: the studio. We love you all. We'll see all tomorrow.

1538
01:17:51,400 --> 01:18:01,439
Speaker 1: Love y'all, See you soon. The Dow