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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 Tuesday. We have

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

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Speaker 1: we do lots of interesting stuff breaking this morning, including

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Speaker 1: we had to add a block into the show last night.

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Speaker 1: Apparently some classified documents we're found at a former office

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Speaker 1: space of President Biden. These were documents apparently from when

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Speaker 1: he was vice president. Break all of that down for you.

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Speaker 1: A little bit awkward, says a little bit of different. Yeah.

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Speaker 1: At the same time, the rules package passed the House

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Speaker 1: last night, and this was sort of the first big

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Speaker 1: test of Kevin McCarthy's new speakership that went through. I think,

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Speaker 1: you know, I think he won by like two votes

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Speaker 1: or something like that, so we only lost a few

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Speaker 1: votes in the Republican Caucus. And there is a surprising

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Speaker 1: advocate for some of the changes that are included in

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Speaker 1: this Kevin McCarthy speaker deal, so we'll tell you about that.

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Speaker 1: We also have some pretty stunning new polling revealing Americans priorities,

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Speaker 1: how they are feeling about the state of the country.

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Speaker 1: We've got some new Twitter files exposing big Pharma and

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Speaker 1: some major conflicts of interest with regard to media. Not

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Speaker 1: that you will be shocked there, Prince Harry is making

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Speaker 1: a shocking admission that somehow the media mostly ignored is

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Speaker 1: being completely ignored. Yeah, you get to it. Yeah, this

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Speaker 1: is an interesting one. And also you gotta love this.

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Speaker 1: How many years are we post twenty fifteen, twenty sixteen Russiagate?

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Speaker 1: The media is finally admitting that at least one aspect

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Speaker 1: of it was completely fake news. Amazing. Excited to have

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Speaker 1: you Grillo on the show. He's going to be giving

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Speaker 1: us a report on what exactly is going on in Mexico.

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Speaker 1: I am looking at the tech session and Soccer is

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Speaker 1: looking at Jordan Peterson. But before we get to any

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Speaker 1: of that live show, live show, put it up there

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Speaker 1: on the screen. Last couple of chances here, folks, February third.

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Speaker 1: Tickets are being booked, travel accommodations, all of that. Send

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Speaker 1: your food recommendations in We are coming. We have a

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Speaker 1: great show for all of you. We're gonna do some

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Speaker 1: fun stuff while we are down there in Austin, Texas. Okay,

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Speaker 1: let's start with Biden. So late news breaking last night, Well,

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Speaker 1: let's put it up there on the screen. It turns

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Speaker 1: out that ten classified documents were actually removed from Joe

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Speaker 1: Biden's presidential vice presidential office found at the Penn Biden

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Speaker 1: Center for Diplomacy and Global Engagement while he was moving

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Speaker 1: out of that office in twenty seventeen. The classified documents

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Speaker 1: were actually found by Biden's own team in an internal

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Speaker 1: review presumably Crystal. After the mar A Lago in November

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Speaker 1: and the general, you know, public consternation about it, the

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Speaker 1: Biden lawyers themselves were like, hey, maybe we should check

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Speaker 1: our own archives. They did so they found actually ten

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Speaker 1: documents with classified marketings on them that were inside of

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Speaker 1: their archives removed from the White House while Joe Biden

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Speaker 1: was the Vice President. Now, according to Biden and his team,

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Speaker 1: they have immediately returned those documents upon discovery to the

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Speaker 1: Department of Justice. However, the Department of Justice itself has

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Speaker 1: actually opened a review of the case, Attorney General Meyrick

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Speaker 1: Garland actually appointing a Trump appointee, a special prosecutor, to

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Speaker 1: actually review the entire case. So all of this a

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Speaker 1: bit awkward and frankly embarrassing for the Biden administration just

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Speaker 1: because they've made such a big deal of the Trump case.

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Speaker 1: I mean, I would have to say, of course, what

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Speaker 1: separates the two is not the possession of the classified

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Speaker 1: documents itself. But with Trump, there appears to be, you know,

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Speaker 1: a concerted effort by Trump, his lawyers and others to

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Speaker 1: simply just not return the documents, not necessarily out of malice,

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Speaker 1: but increasingly out of arrogance and incompetence, by basically say,

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Speaker 1: of these are my documents, which not really how presidential

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Speaker 1: records work. But I will say I think it does

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Speaker 1: validate one of the points that a lot of people

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Speaker 1: who had defended him said, putting the obstruction aside, They're like, hey,

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Speaker 1: I think a lot of these presidential libraries do have

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Speaker 1: at least some sensitive documents. It also does raise a

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Speaker 1: question broadly to me, why do these people get to

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Speaker 1: hang on to literally anything if they are matter right

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Speaker 1: of state? Why are they allowed to be at these

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Speaker 1: libraries at all? Should they not just be purely in

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Speaker 1: the possession of the National Archives. Maybe that's just a

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Speaker 1: crazy thought. Just because you're president, I don't think that

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Speaker 1: entitles you for all time to possession of your own file.

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Speaker 1: I think that's a good point. I think another point

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Speaker 1: is that, like obviously, overclassification is a massive issue. So

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Speaker 1: a lot of these I mean, I don't know what

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Speaker 1: these particular documents from Biden were, I don't know how

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Speaker 1: secret they were, what highest classification market, etc. Was on them.

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Speaker 1: But a lot of stuff that is technically classified is

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Speaker 1: totally available in the public sphere and really shouldn't be classified.

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Speaker 1: So that's an important thing to keep in mind here

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Speaker 1: as well. I think your point about the difference between

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Speaker 1: him and Trump's case is also you know, a valid one.

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Speaker 1: Probably the FAF Trump ends up being indicted on the

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Speaker 1: document issue, it is more likely to be because of

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Speaker 1: the obstruction than because he you know, accidentally or intentionally

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Speaker 1: or whatever held on to these documents. At this point,

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Speaker 1: there's all kinds of reporting about how they were going

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Speaker 1: back and forth with the National Archives for a while,

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Speaker 1: it was productive, and then basically he decided like, no,

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Speaker 1: these are my documents. I'm going to stonewall. They apparently

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Speaker 1: have some camera footage of him like moving boxes around

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Speaker 1: and trying to conceal them, So that is probably going

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Speaker 1: to be the bigger issue for Trump. But putting all

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Speaker 1: of that aside, obviously this is a very bad look

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Speaker 1: for the president, is very awkward given the concern consternation

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Speaker 1: about the documents that former President Trump was ultimately holding

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Speaker 1: on to. There's another thing that, you know, it's I

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Speaker 1: guess a little bit of a side story here, but

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Speaker 1: something that Ken Vogel pointing out which I think is

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Speaker 1: worth noting. So these documents were located were found by

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Speaker 1: Biden's own attorneys at the Penn Biden Center, and this

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Speaker 1: is where he had this cushy gig during the off

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Speaker 1: season when he was not vice president and was not

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Speaker 1: yet running for president, where he made nine hundred thousand

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Speaker 1: dollars over the course of just two years for a

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Speaker 1: vaguely defined role that involved no regular classes and about

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Speaker 1: twelve public appearances on campus. So this was a very

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Speaker 1: cushy gig for him where he apparently did basically nothing

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Speaker 1: and earned almost a million dollars and hung out with

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Speaker 1: some classified documents in an office is apparently what was

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Speaker 1: ultimately going on here. So there's a lot of layers

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Speaker 1: of exposing the political system in the whale of this

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Speaker 1: ultimately works at work in the story. Oh absolutely, It's

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Speaker 1: just again, I don't know how we created this weird

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Speaker 1: system where presidents and former officials feel entitled to their

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Speaker 1: matters of state while they leave office, even though they're

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Speaker 1: allegedly at least important to the American public, and then

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Speaker 1: are then just allowed to create these insane centers where

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Speaker 1: they get paid a ton of money and also, by

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Speaker 1: the way, get to solicit private donations this you know,

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Speaker 1: like the Jeff Bezos giving one hundred million dollars to

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Speaker 1: the Obama Library in Chicago. The fact that Obama, I believe,

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Speaker 1: is like in consternation with some community activists in order

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Speaker 1: to get some of the land for his own. But again,

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Speaker 1: I don't even want to make it about them. You know,

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Speaker 1: my hometown college station, the George HW. Bush Presidential Library

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Speaker 1: is there, and again like you'll go there and you'll

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Speaker 1: see like treasures, you know, pieces of the Berlin Wall

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Speaker 1: and jewels and other things that were given to President

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Speaker 1: Bush while he was in office. I was like, I

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Speaker 1: don't really understand, like why this stuff is all year,

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Speaker 1: like who actually owns it? There just seems to be

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Speaker 1: this quasi almost like a royal treatment that we give people,

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Speaker 1: and that really just needs to go away completely. There's

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Speaker 1: one last piece that I want to add on to this,

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Speaker 1: which is the timing of the disclosure that these documents

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Speaker 1: were located, because apparently the documents were actually found like

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Speaker 1: a week before the midterm Wow, they waited a couple

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Speaker 1: months until they, you know, secured their election situation for

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Speaker 1: this revelation to ultimately be made. I'm reading for a

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Speaker 1: New York Times story here they say the White House

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Speaker 1: statement said that it is cooperating with the Department of Justice,

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Speaker 1: but did not explain why mister Biden's team waited more

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Speaker 1: than two months to announce the discovery of the documents,

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Speaker 1: which came a week before the midterm congressional elections, when

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Speaker 1: the news would have been an explosive last minute development.

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Speaker 1: So also another little interesting note that so just the

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Speaker 1: level of corruption here listen, unbelievable. Lock them all up. Yeah, Yeah.

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Speaker 1: Just takeaway is, yeah, it is substantely different, at least legally,

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Speaker 1: you know, in terms of the way that it's being treated.

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Speaker 1: But you know, on the substance, clearly it did the

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Speaker 1: exact same thing. I guess, just didn't have an idiocy

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Speaker 1: to try and cover it up. And it's going to

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Speaker 1: be embarrassing for him regardless, especially if Trump does get indeted.

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Speaker 1: Expect to hear all about it on the Fox News channel,

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Speaker 1: yes and elsewhere. Yes, So get acquainted with the details.

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Speaker 1: You're well guy, and the time we're equal up. Fortunately

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Speaker 1: in terms of our coverage, we've got to cover it.

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Speaker 1: It's going to be an important story. Okay. So moving

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Speaker 1: on to the very latest in the new Republican House

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Speaker 1: majority drama. So there were some questions yesterday over whether

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Speaker 1: the quote unquote moderates in the Republican Caucus might bulk

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Speaker 1: over some of the concessions that were given up to

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Speaker 1: the Freedom Caucus members who were sort of, you know,

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Speaker 1: holding McCarthy's speakership hostage in order to obtain some things

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Speaker 1: that they wanted and frankly doing it very effectively. But

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Speaker 1: ultimately the conclusion was very undramatic. Let's go and put

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Speaker 1: this up on the screen from the New York Times.

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Speaker 1: That rules package was passed amid concerns about McCarthy's concessions.

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Speaker 1: So that happened yesterday, and you know that we've already

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Speaker 1: been over yesterday. We went over in detail what some

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Speaker 1: of this was. I mean, some of it really has

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Speaker 1: to do with power, with individual caucus members and individual

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Speaker 1: House members having more power in terms of the legislating process.

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Speaker 1: I think, you know, those shifts towards the way the

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Speaker 1: speakership was back in you know, historically weakening the speakership.

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Speaker 1: I think those are all potentially good. The parts I

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Speaker 1: have an issue with is obviously their goals in terms

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Speaker 1: of making these changes, which they've made it clear, and

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Speaker 1: they also extracted concessions from McCarthy that they would essentially

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Speaker 1: use the debt sealing to you know, force spending cuts

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Speaker 1: back to Tea Party era type tactics using budget government

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Speaker 1: shutdowns over budget fights to also try to force spending cuts.

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Speaker 1: But you know, it was interesting because back in the

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Speaker 1: Tea Party era, all of the talk was really about

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Speaker 1: social welfare spending and defense cuts. They didn't really want

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Speaker 1: to go there. They were reluctant to ultimately cut the

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Speaker 1: defense budget, even though once they made a deal and

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Speaker 1: then you had to say questration, there were some defense

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Speaker 1: budget cuts, but they were really more focused on the

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Speaker 1: social welfare spending. So it was like, oh, well, interesting

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Speaker 1: that they're actually floating defense budget cuts now. And the

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Speaker 1: other piece as a lefty that I found interesting and

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Speaker 1: you find interesting as well, and I think a lot

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Speaker 1: of people in a bipartisan fashion found relevant and important

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Speaker 1: as a potential church style commission where you would investigate

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Speaker 1: deep state abuses, the surveillance state, and what they describe

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Speaker 1: as the weaponization of the government against the people. Well,

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Speaker 1: those two potential changes and concessions have found an unlikely

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Speaker 1: ally in Squad member ilhan Omar. Let's take a listen.

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Speaker 1: The obviously cuts to the Pentagon budget is pretty exciting

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Speaker 1: for folks like me who are putting up amendments to

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Speaker 1: do so. I also think the church style committee that

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Speaker 1: they are thinking about to look into if there has

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Speaker 1: been any violations of First Amendment rights of Americans by

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Speaker 1: the FBI and others also interests me. So we'll see

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Speaker 1: what ends up happening and if Republicans are able to

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Speaker 1: actually be able to get anything done. So noteworthy that

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Speaker 1: she's saying that on MSBC. I'm sure it's not a

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Speaker 1: message they're really hearing from anyone else what And Yeah,

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Speaker 1: and you know, I give her a lot of credit

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Speaker 1: for she's willing to stake out some of these like

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Speaker 1: consistent principled positions on things like censorship and on these

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Speaker 1: issues as well. Unfortunately, I wouldn't be so confident that

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Speaker 1: this whole defense cut piece is actually going to come

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Speaker 1: to fruition because while I do think you have a

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Speaker 1: few people in the Republican Caucus who would genuinely like

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Speaker 1: to see the defense budget cut, immediately you had a

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Speaker 1: number of members from the caucus in prominent positions running

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Speaker 1: out to say no, no, no, the Republican Party will

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Speaker 1: never ever cut the military's budget. Let's take a listen

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Speaker 1: to a few of them making that case. And the

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Speaker 1: argument is this would affect defense spending, which I'm here

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Speaker 1: to tell you guys, Republicans will not impact defense spending

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Speaker 1: aside from efficiencies and waste. It's the domestic spending that

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Speaker 1: we're going to go after. Kongsen Mint Waltz, Republican from

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Speaker 1: a great state of Florida and a decorated combat veteran

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Speaker 1: joins me. Now, Congressman, should military spending cuts beyond the

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Speaker 1: table and put on the table by a Republican Well, look,

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Speaker 1: I agree with Jim Jordan that we are going to

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Speaker 1: carve out woke policies out of the military. We are

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Speaker 1: going to look at the out of whack ratio of generals.

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Speaker 1: I invite them to come on the Armed Services Committee

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Speaker 1: and work with us on that. But Stu, and by

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Speaker 1: the way, I'm all for a balanced budget. We've got

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Speaker 1: to get spending under control. But we are not going

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Speaker 1: to do it on the backs of our troops and

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Speaker 1: our military. So this is I mean, we can work

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Speaker 1: on report prioritizing defense spending, but that's really nibbling around

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Speaker 1: the margins. If we really want to talk about the

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Speaker 1: debt and spending, it's the entitlements program that's seventy percent

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Speaker 1: of our entire budget. As you know, if we don't

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Speaker 1: raise the debt ceiling, all we've got to do. Now,

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Speaker 1: this is tough, and this is difficult, and again it

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Speaker 1: takes courage, but what we've got to do is cut

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Speaker 1: discretion spending. So you can see they're clearly they're on

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Speaker 1: a bit of a different page. Happy to talk about

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Speaker 1: the wolf policies in the military. But you know the

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Speaker 1: second guy whose name I am I'm forgetting right now,

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Speaker 1: who's like, no, if we're going to balance the budget,

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Speaker 1: it's going to be quote unquote entitlements, that's social Security

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Speaker 1: and Medicare. He's actually the one that is being I

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Speaker 1: think the most honest and straightforward there that they have

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Speaker 1: no interest in really cutting the military budget. What they're

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Speaker 1: aimed at is social spending. That was Congressman Mike Wallas.

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Speaker 1: All three of those people were some of the holdouts.

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Speaker 1: Part of the reason why we went ahead and highlighted

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Speaker 1: them because they were the folks who might have been

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Speaker 1: amenable to defense cuts. I will say I did appreciate

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Speaker 1: his general's comment because he's actually totally correct about bloat

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Speaker 1: within the bureaucracy. Yeah. Bye, that that's where it just

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Speaker 1: all comes down to the question of like what how?

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Speaker 1: And the other problem is like, okay with entitlements, Like

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Speaker 1: you really have the votes to actually force entitlements cuts

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Speaker 1: on Medicare and Social Security. I don't even think that

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Speaker 1: exists even within the Republican Party. I mean, consider also

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Speaker 1: that much of these are not even discretionary spending. Having

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Speaker 1: been through so many of the the shutdown fights, you

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Speaker 1: and I know this thistle, which is that discretionary spending

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Speaker 1: that really the only places you can cut are social spending.

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Speaker 1: I mean, that's pretty much it, because the vast majority

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Speaker 1: of the federal budget is a federal spending is both

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Speaker 1: the military and these mandatory entitlement programs, which can only

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Speaker 1: be really changed by an Act of Congress, which is

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Speaker 1: far outside the realm of the normal budgeting process. The

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Speaker 1: normal budgeting process is genuine pittance outside of the defense spending.

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Speaker 1: So if you're serious about reining it in, and look,

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Speaker 1: I mean even with defend, I care a lot about

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Speaker 1: strong national defense. A point I've always tried to make

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Speaker 1: here is that there is tremendous amount of bloat and

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Speaker 1: ripoff happening within the defense budget, like if you actually

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Speaker 1: care about keeping safe. One of the segments we did

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Speaker 1: on our holiday is that the Pentagon literally failed it's

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Speaker 1: own audit for what like a fourth time or whatever

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Speaker 1: since twenty seventeen. I remember that I believe HR accounts

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Speaker 1: for approximately one hundred billion dollars of the entire Pentagon budget.

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Speaker 1: And it's not just they fail the audit. The percentage

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Speaker 1: of their budget that they can't even account for is

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Speaker 1: like sixty percent. The number is completely absurd. And yeah,

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Speaker 1: Congress passed this rule that every federal agency has to

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Speaker 1: go through an audit, which seems like a reasonable idea,

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Speaker 1: great idea, and they all seem to pass it except

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Speaker 1: the Pentagon, which is literally never once past the audit.

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Speaker 1: And then all that this lat ultimately created was a

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Speaker 1: whole other bureaucracy to perform the audit that never they

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Speaker 1: can never actually pull up, which cost additional like one

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Speaker 1: hundred million dollars spent on an audit that they never

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Speaker 1: pass and never seem to care to like clean it

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Speaker 1: up to be able to in any case, the whole

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Speaker 1: point is, there's a lot you could do if you

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Speaker 1: were actually serious about cutting defense spending. But the fact

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Speaker 1: that you have so many who were in the holdouts,

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Speaker 1: who were the negotiation in the negotiations, who were the

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Speaker 1: ones demanding concession, saying no, no, no, no, no no no,

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Speaker 1: we only care about the entitlements, we have no interest

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Speaker 1: in the defense spending tells you everything you need to

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Speaker 1: know about the likelihood that defense spending cuts are actually

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Speaker 1: going to pass. Maybe the most noteworthy one here is

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Speaker 1: from Congressmanship Roy, who was probably the most significant of

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Speaker 1: the holdouts in terms of actually coming to the deal.

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Speaker 1: Coming to a deal. He was the one that McCarthy

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Speaker 1: was negotiating with, I think the most, and he was

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Speaker 1: the one ultimately who brought along something like fourteen of

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Speaker 1: his colleagues among the holdowns that really sort of got

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Speaker 1: them at the doorstep and forced the others to ultimately concede.

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Speaker 1: Let's go ahead and put his thread up on the

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Speaker 1: screen about this. So this is from this is I

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Speaker 1: guess his office. So they say Representative Roy and his

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Speaker 1: colleagues secured a commitment from Speaker McCarthy to enact the

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Speaker 1: biggest discretionary spending cut ever in f Y twenty twenty four,

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Speaker 1: and like clockwork, big spending neo cons and the military

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Speaker 1: industrial complex have claimed this means cutting defense spending in

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Speaker 1: all caps. That is a lie. Representative Roy and his

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Speaker 1: colleagues negotiating agreement that would reduce f y twenty twenty

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Speaker 1: four spending two the overall discretionary spending levels we saw

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Speaker 1: in twenty twenty two contacts. That's the same spending levels

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Speaker 1: we saw about ten days ago. But it would ultimately

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Speaker 1: mean cutting twenty twenty three spending levels by over one

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Speaker 1: hundred and thirty billion down to one point four to

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Speaker 1: seven trillion next fiscal year, And during negotiations, cuts to

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Speaker 1: defense were again in all caps, never discussed. In fact,

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Speaker 1: there was broad agreement spending cuts should focus on non

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Speaker 1: defense discretionary spending. This means cutting funding for the woken,

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Speaker 1: weaponized bureaucrats that receive massive increases under the one point

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Speaker 1: seven trillion dollar omnibus. And then in parentheses, this is

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Speaker 1: not Social Security and Medicare. I think that part is

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Speaker 1: rather dishonest, frankly, just because of the way that the

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Speaker 1: numbers work out. If you are really going to balance

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Speaker 1: the budget in ten years and do the things that

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Speaker 1: they claim they want to do, there is no way

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Speaker 1: that you do that without touching Social Security and Medicare,

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Speaker 1: which is a dramatically unpopular thing approach to take and

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Speaker 1: thing to do. Yeah, I mean, that's one of the

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Speaker 1: points where they try to have it both ways. You

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Speaker 1: can't rule out and entitlements, like literally one of them

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Speaker 1: has to give, and one of them is the We're

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Speaker 1: about to talk about this in the midterm polling, but

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Speaker 1: one of the top reasons that people even voted Democrat

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Speaker 1: in the midterm elections. Also, I mean, good luck in

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Speaker 1: a system where really only old people are the ones

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Speaker 1: who are the most reliable to vote. It's just not

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Speaker 1: going to happen. So that at that point, now you're

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Speaker 1: talking about what like the National Park Service budget, Okay,

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Speaker 1: you know, that's maybe one day of operation in the Pentagon. Literally,

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Speaker 1: like I think, less than one day of what the

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Speaker 1: war in Afghanistan used to cost. It's the math doesn't work.

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Speaker 1: I mean on all of this, I just think it's

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Speaker 1: incredibly likely, Crystal that we go back to seaquestration. I

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Speaker 1: don't see for people who don't understand what that is,

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Speaker 1: it's basically automatic triggers and cuts in the budgets across

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Speaker 1: the board without being able to reach some sort of agreement.

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Speaker 1: So instead of saying, well, we're going to carve out

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Speaker 1: on X y side, given the fact that the Democrats

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Speaker 1: do hold the Senate, they're not going to agree even

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Speaker 1: with some of the budgetary priorities of the House of Representatives.

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Speaker 1: It's almost the exact same scenario of what happened back

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Speaker 1: in two thousand and eleven at the beginning of seaquestration,

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Speaker 1: So I just think that's almost certainly going to come

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Speaker 1: back because that will trigger spending cuts victories for the

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Speaker 1: Freedom Caucus, and it also just gives at least a

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Speaker 1: quote fair blueprint for the type of spending cuts for

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Speaker 1: the Democrats in the Senate. The other alternatives we have

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Speaker 1: a straight up government shutdown, but you know we had

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Speaker 1: that last time around in the Bayer era and that's

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Speaker 1: ultimately what led to seaquestration. So I see you by

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Speaker 1: all roads just seemingly lead right back there. The first

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Speaker 1: fight is going to be overlifting the debt ceiling. And

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Speaker 1: you guys probably know this, but I mean, the debt

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Speaker 1: ceiling is just is this sort of like arbitrary thing.

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Speaker 1: It doesn't authorize more spending. It just says like, okay,

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Speaker 1: you can spend the things that you've already appropriated. So

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Speaker 1: it really should be eliminated altogether because all it's used

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Speaker 1: for at this point is these sort of like hostage

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Speaker 1: taking tactics. The expectation is that the debt ceiling will

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Speaker 1: need to be lifted in August. Now, the first thing

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Speaker 1: I want to say about this is that Democrats, when

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Speaker 1: they had control of the House and the Senate in

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Speaker 1: the White House probably should have done something about the

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Speaker 1: death dealing, and they just didn't bother to do it.

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Speaker 1: You know, you could wager a lot of different guesses

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Speaker 1: as to why that is, and competence, laziness, those are

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Speaker 1: always decent guesses. Another one could be that actually they

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Speaker 1: kind of like these fights because they make Republicans, you know,

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Speaker 1: expose themselves as being ridiculous and irresponsible and hostage shaking

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Speaker 1: and having all of these priorities that are like radically

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Speaker 1: out of step with the American people. And so, you know,

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Speaker 1: that would be my guess as to why Democrats didn't

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Speaker 1: ultimately deal with this, because they kind of like the

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Speaker 1: prospect of, you know, watching Republicans hold the nation hostage

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Speaker 1: over whatever things that they want to ultimately cut here.

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Speaker 1: Another alternative that many people have advocated for is to

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Speaker 1: hashtagment the coin, where it's kind of a budgetary gimmick,

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Speaker 1: but ultimately I think it would work where you just

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Speaker 1: mint this trillion dollar coin, you like, transfer it over

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Speaker 1: across the government balance sheets, and then you're able to

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Speaker 1: continue spending, and that would diffuse this debt sealing crisis

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Speaker 1: and basically diffuse all debt sealing crises in the future

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Speaker 1: because you know that they could just ultimately do that.

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Speaker 1: So that is ultimimately one That is also one possibility

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Speaker 1: of how this get all go down. And in some

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Speaker 1: ways the ball will be in the Democrats court because

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Speaker 1: the whole reason you ended up with sequestration is because

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Speaker 1: Obama was really very open to this balance the budget

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Speaker 1: deficit hawk talk. He tried to strike the Grand Bargain

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Speaker 1: that would have actually put social Security and Medicare cuts

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Speaker 1: on the table. So that's the other question is right

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Speaker 1: now it feels like, oh, I can't imagine the Democrats

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Speaker 1: going along with this, But Joe Biden was part of

432
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Speaker 1: that Obama administration. Joe Biden's a long time sort of

433
00:22:45,640 --> 00:22:48,160
Speaker 1: like deficit hawk type of a guy. He said many

434
00:22:48,200 --> 00:22:51,720
Speaker 1: times throughout his career that he wanted to cut Social Security.

435
00:22:52,240 --> 00:22:55,280
Speaker 1: So you know, I'm not one hundred percent confident that

436
00:22:55,440 --> 00:22:58,760
Speaker 1: ultimately some segment of Democrats won't cave to some of

437
00:22:58,800 --> 00:23:02,520
Speaker 1: these demands. We will see. The last piece that I

438
00:23:02,600 --> 00:23:04,840
Speaker 1: just want to mention here because we've covered obviously like

439
00:23:04,880 --> 00:23:08,119
Speaker 1: the abuses of stock trading in the House and the

440
00:23:08,119 --> 00:23:10,639
Speaker 1: Senate unusual Wales done a great job covering that exposing

441
00:23:10,680 --> 00:23:13,280
Speaker 1: that at a new report just recently showing how even

442
00:23:13,280 --> 00:23:15,480
Speaker 1: in a terrible market, these people were all able to

443
00:23:15,480 --> 00:23:17,720
Speaker 1: beat the market. I guess they're just trading geniuses. Who

444
00:23:17,760 --> 00:23:22,479
Speaker 1: knows well. One of the offices that the Congressional Ethics Office,

445
00:23:22,760 --> 00:23:26,560
Speaker 1: which has gone after members previously for violations of the

446
00:23:26,600 --> 00:23:30,640
Speaker 1: Stock Act, which requires disclosure. The new rules package also

447
00:23:30,880 --> 00:23:34,439
Speaker 1: guts that office, and this office I think is pretty

448
00:23:34,440 --> 00:23:38,400
Speaker 1: widely respected. They've gone after Republican members, They've actually there's

449
00:23:38,440 --> 00:23:42,240
Speaker 1: an ethics complaint on AOC that they're evaluating right now,

450
00:23:42,680 --> 00:23:45,919
Speaker 1: and the new rules would effectively gut the sort of

451
00:23:46,160 --> 00:23:49,800
Speaker 1: staffing and my understanding, the budget and ability of this

452
00:23:49,880 --> 00:23:52,480
Speaker 1: office to really function. So we'll make it a lot

453
00:23:52,520 --> 00:23:55,639
Speaker 1: harder for members who violate the Stock Act or whoever

454
00:23:55,840 --> 00:24:01,720
Speaker 1: other Congressional ethics violations like mister Santos potentially as one example,

455
00:24:02,400 --> 00:24:04,760
Speaker 1: It will make it more difficult for them to ultimately

456
00:24:04,760 --> 00:24:06,239
Speaker 1: hold them to account. So I think that's a big

457
00:24:06,359 --> 00:24:09,040
Speaker 1: loss here as well. That's a shame. Yeah. Okay, let's

458
00:24:09,040 --> 00:24:11,520
Speaker 1: move on to the American people and what they want

459
00:24:11,560 --> 00:24:13,840
Speaker 1: to see out of this Congress and how they are

460
00:24:13,840 --> 00:24:16,720
Speaker 1: feeling about things in general. Let's put this up on

461
00:24:16,760 --> 00:24:20,000
Speaker 1: the screen. That's the latest from CBS News, and they

462
00:24:20,000 --> 00:24:22,679
Speaker 1: have a comparison in this pool of how people are

463
00:24:22,680 --> 00:24:25,440
Speaker 1: feeling now versus how they felt back a year ago,

464
00:24:25,640 --> 00:24:30,040
Speaker 1: and people are feeling a little bit better. It's not great.

465
00:24:30,320 --> 00:24:34,560
Speaker 1: So back in January twenty twenty two, only twenty six

466
00:24:34,600 --> 00:24:37,240
Speaker 1: percent of Americans said things were going well. Now that

467
00:24:37,280 --> 00:24:39,959
Speaker 1: twenty six percent has moved up to thirty four percent,

468
00:24:40,280 --> 00:24:42,440
Speaker 1: so we're up over a third of Americans who say

469
00:24:42,480 --> 00:24:45,640
Speaker 1: things are going pretty well in terms of going badly.

470
00:24:45,920 --> 00:24:49,200
Speaker 1: Back a year ago, you had seventy three percent saying

471
00:24:49,240 --> 00:24:52,879
Speaker 1: things were going badly. Now you have that number taking

472
00:24:52,920 --> 00:24:55,960
Speaker 1: down to sixty five percent, So you're basically at third

473
00:24:55,960 --> 00:24:58,000
Speaker 1: of people saying now things are going well and two

474
00:24:58,040 --> 00:25:01,919
Speaker 1: thirds saying they are going badly. You also had some

475
00:25:02,040 --> 00:25:05,400
Speaker 1: interesting data here about, you know, specifics on how people

476
00:25:05,400 --> 00:25:08,680
Speaker 1: are feeling. It's kind of the same. On the economy,

477
00:25:08,880 --> 00:25:11,680
Speaker 1: things are still not good. People are still saying they're

478
00:25:11,680 --> 00:25:13,520
Speaker 1: not good, but they are a little bit higher than

479
00:25:13,560 --> 00:25:17,200
Speaker 1: before the fall midterm campaign. The job market stands out

480
00:25:17,280 --> 00:25:19,240
Speaker 1: as a bright spot in terms of how people feel,

481
00:25:19,320 --> 00:25:23,040
Speaker 1: even as concerns about inflation continue and fewer voters think

482
00:25:23,040 --> 00:25:26,920
Speaker 1: the economy's direction is getting worse than thought. So in October,

483
00:25:27,359 --> 00:25:30,920
Speaker 1: I think part of this soccer is, you know, during

484
00:25:30,920 --> 00:25:33,040
Speaker 1: a political campaign and you're getting a lot of ads

485
00:25:33,040 --> 00:25:37,480
Speaker 1: and a lot of commentary about how poor the economy

486
00:25:37,640 --> 00:25:40,879
Speaker 1: is leading into the midterms. I think that does affect

487
00:25:40,880 --> 00:25:42,800
Speaker 1: the number somewhat, although I think the biggest thing that

488
00:25:42,840 --> 00:25:45,320
Speaker 1: affects these numbers is the way people feel in their normal,

489
00:25:45,359 --> 00:25:47,560
Speaker 1: everyday life. Yeah. I mean, look, the midterms really just

490
00:25:47,560 --> 00:25:49,440
Speaker 1: gave us a lot to chew on because the truth

491
00:25:49,560 --> 00:25:51,720
Speaker 1: is that a lot of people cared about inflation, but

492
00:25:51,960 --> 00:25:54,359
Speaker 1: enough people were willing to say that they care about

493
00:25:54,520 --> 00:25:57,919
Speaker 1: much more intangible things than inflation. So even though the

494
00:25:58,000 --> 00:26:02,760
Speaker 1: going well number has slightly increased from now to the

495
00:26:02,800 --> 00:26:05,760
Speaker 1: first of twenty twenty two, the still vast majority think

496
00:26:05,880 --> 00:26:08,760
Speaker 1: it's going bad. But as we saw under Trump, that

497
00:26:08,800 --> 00:26:11,840
Speaker 1: didn't actually mean anything in terms of the vote split

498
00:26:11,960 --> 00:26:14,359
Speaker 1: the condition of the economy. People are willing to vote

499
00:26:14,359 --> 00:26:17,520
Speaker 1: it bad, and yet they're still really just don't care,

500
00:26:17,720 --> 00:26:20,520
Speaker 1: or they split on partisan in terms of the view

501
00:26:20,560 --> 00:26:22,399
Speaker 1: that it looks like so, or they didn't feel like

502
00:26:22,400 --> 00:26:25,000
Speaker 1: the Republicans had an answer that was gonna make sense

503
00:26:25,040 --> 00:26:26,960
Speaker 1: in terms of making the economy better. Yeah, it's very

504
00:26:26,960 --> 00:26:29,240
Speaker 1: interesting again to just look at all of this. I

505
00:26:29,280 --> 00:26:31,600
Speaker 1: will say, look on a broader love, this is not partisan.

506
00:26:31,640 --> 00:26:35,240
Speaker 1: Compared to a year ago. Is your family family faring financially?

507
00:26:35,480 --> 00:26:38,040
Speaker 1: Forty three percent either say worse off or about the same,

508
00:26:38,080 --> 00:26:40,159
Speaker 1: and only fifteen percent are better off. I'd like to

509
00:26:40,160 --> 00:26:43,080
Speaker 1: meet those people and in terms of feeling about things,

510
00:26:43,359 --> 00:26:45,160
Speaker 1: how they are in the US over the next year,

511
00:26:45,200 --> 00:26:48,280
Speaker 1: I am scared. Hope forty seven percent say hopeful, which

512
00:26:48,320 --> 00:26:50,880
Speaker 1: is kind of amazing, but the vast majority are either

513
00:26:50,920 --> 00:26:54,800
Speaker 1: scared or angry. So I mean, look, overall, Biden's approval

514
00:26:54,880 --> 00:26:57,280
Speaker 1: rating in this poll comes out to forty four percent.

515
00:26:57,480 --> 00:26:59,520
Speaker 1: That said, the fact that he was willing to was

516
00:26:59,600 --> 00:27:02,120
Speaker 1: able to pull off the midterm victory that they did

517
00:27:02,240 --> 00:27:06,000
Speaker 1: at approximately forty percent, maybe even thirty nine by some respects,

518
00:27:06,080 --> 00:27:08,720
Speaker 1: is not a terrible place to be. I'll never forget

519
00:27:08,840 --> 00:27:13,080
Speaker 1: Ron Klaine tweeting out Emmanuel mat Craul, Yes, President of France,

520
00:27:13,280 --> 00:27:16,119
Speaker 1: his approval ratings before he was re elected and they

521
00:27:16,160 --> 00:27:18,480
Speaker 1: were like in the thirties, and he was like, oh interesting.

522
00:27:18,520 --> 00:27:20,639
Speaker 1: He got reelected with an approval rating that was like

523
00:27:20,760 --> 00:27:23,760
Speaker 1: super low. Yeah, but he's right. Yeah, I mean that

524
00:27:23,840 --> 00:27:27,040
Speaker 1: clearly is their strategy. Like they don't they think they

525
00:27:27,080 --> 00:27:30,359
Speaker 1: can win. And you know, they were basically right in

526
00:27:30,359 --> 00:27:32,040
Speaker 1: the midterms, even though they lost the House and it

527
00:27:32,080 --> 00:27:35,080
Speaker 1: wasn't the grand celebration maybe that you know, they portrayed

528
00:27:35,080 --> 00:27:38,240
Speaker 1: it as. But they bucked historical trends in the midterms.

529
00:27:38,280 --> 00:27:40,320
Speaker 1: And I think Joe Biden does have a decent chance

530
00:27:40,400 --> 00:27:42,800
Speaker 1: to get reelected as it stands right now, even if

531
00:27:42,840 --> 00:27:45,679
Speaker 1: his approval rating remains in like the low forties. And

532
00:27:45,840 --> 00:27:47,840
Speaker 1: let's go to the next one, because this is very

533
00:27:47,840 --> 00:27:50,720
Speaker 1: interesting data as well in terms of the priorities of

534
00:27:50,760 --> 00:27:52,560
Speaker 1: those who voted Republican, we shouldn't forget, you know, in

535
00:27:52,600 --> 00:27:54,719
Speaker 1: terms of the popular vote, the Republicans did broadly win

536
00:27:54,760 --> 00:27:56,639
Speaker 1: the popular vote if you look at it on a

537
00:27:56,720 --> 00:28:00,439
Speaker 1: national scale. Lowering inflation was at eighty nine percent, securing

538
00:28:00,440 --> 00:28:02,920
Speaker 1: the border at eighty five. That actually explains why Biden

539
00:28:03,000 --> 00:28:05,359
Speaker 1: is paying so much attention to the border right now.

540
00:28:05,560 --> 00:28:08,879
Speaker 1: Third was increasing US energy production, and then fourth was

541
00:28:08,920 --> 00:28:12,320
Speaker 1: actually reducing crime. What was even more interesting is actually

542
00:28:12,320 --> 00:28:15,160
Speaker 1: if you look at the split in Maga Republicans, because

543
00:28:15,160 --> 00:28:19,040
Speaker 1: it does show you just how different the just how

544
00:28:19,080 --> 00:28:21,640
Speaker 1: different the split is between people who I self identify

545
00:28:21,880 --> 00:28:25,040
Speaker 1: as MAGA Republicans and what they actually view as being

546
00:28:25,040 --> 00:28:27,840
Speaker 1: loyal to Trump and their priorities over people who just

547
00:28:27,960 --> 00:28:29,760
Speaker 1: vote GOP at the top of the ticket. Let's go

548
00:28:29,760 --> 00:28:32,600
Speaker 1: to the next one that is there. They say, Republicans

549
00:28:32,600 --> 00:28:36,480
Speaker 1: being loyal to Trump is quote very important for thirty

550
00:28:36,480 --> 00:28:40,160
Speaker 1: five percent, thirty percent is somewhat important, twenty one percent

551
00:28:40,240 --> 00:28:42,840
Speaker 1: not too important, fourteen percent not important at all, So

552
00:28:42,920 --> 00:28:46,200
Speaker 1: the vast majority rating some importance. What's even more interesting

553
00:28:46,280 --> 00:28:49,520
Speaker 1: is that if you look even deeper within those MAGA

554
00:28:49,520 --> 00:28:53,240
Speaker 1: Republicans and their priorities Crystal, they say that investigating the

555
00:28:53,320 --> 00:28:57,360
Speaker 1: Hunter Biden laptop is actually more important than inflation. So

556
00:28:57,720 --> 00:29:01,280
Speaker 1: this actually shows you part of why the GOP Congress

557
00:29:01,600 --> 00:29:04,880
Speaker 1: is acting in the way that they are. Because remember,

558
00:29:05,120 --> 00:29:08,120
Speaker 1: the only threat that a sitting member of Congress really

559
00:29:08,160 --> 00:29:12,640
Speaker 1: has is primary. Within those primaries, only the crazy people vote,

560
00:29:12,960 --> 00:29:16,160
Speaker 1: really on both sides. It's very rare for normal people

561
00:29:16,360 --> 00:29:18,520
Speaker 1: to engage in a primary election or even frankly like

562
00:29:18,560 --> 00:29:21,960
Speaker 1: a midterm election. It's very very rare and statistically, so

563
00:29:22,040 --> 00:29:24,479
Speaker 1: what do they care about? They have to appease. There

564
00:29:24,600 --> 00:29:27,920
Speaker 1: are most ardent base not on policy. The thing that

565
00:29:27,960 --> 00:29:31,480
Speaker 1: they care literally the most about is investigating Joe Biden.

566
00:29:31,560 --> 00:29:33,560
Speaker 1: So you have that there, but then you also have

567
00:29:33,600 --> 00:29:35,680
Speaker 1: a broad swath of the public. It was like, hey,

568
00:29:36,200 --> 00:29:37,960
Speaker 1: you know, the economy really stucks right now, Like it

569
00:29:37,960 --> 00:29:40,080
Speaker 1: would just be nice if I could pay less at

570
00:29:40,200 --> 00:29:43,920
Speaker 1: the grocery store and even less at the pump. That's

571
00:29:43,960 --> 00:29:46,719
Speaker 1: what I mostly care about. So it's a major problem,

572
00:29:46,800 --> 00:29:49,240
Speaker 1: I think for the Republicans to be in this stuck

573
00:29:49,280 --> 00:29:51,840
Speaker 1: position where policy is what the vast majority of people

574
00:29:51,920 --> 00:29:54,440
Speaker 1: care about, but the actual people who can mostly control

575
00:29:54,480 --> 00:29:56,800
Speaker 1: their fate in Congress, that's not really what they care

576
00:29:56,840 --> 00:29:58,880
Speaker 1: about at all. Yeah, and you know, if you look

577
00:29:58,920 --> 00:30:01,000
Speaker 1: at the numbers two they had, I'm about, like, do

578
00:30:01,160 --> 00:30:04,760
Speaker 1: people want to see you standing by your principles or

579
00:30:05,120 --> 00:30:07,360
Speaker 1: working with the opposition to get things done? And this

580
00:30:07,440 --> 00:30:10,680
Speaker 1: is another area where like, you know, the hardcore Republican

581
00:30:10,720 --> 00:30:14,240
Speaker 1: base wants to see you basically doing what Matt Gates

582
00:30:14,280 --> 00:30:17,640
Speaker 1: and co. Did with the speakership fight, and a large

583
00:30:17,720 --> 00:30:21,240
Speaker 1: majority of independence in the general public wants to see

584
00:30:21,240 --> 00:30:24,400
Speaker 1: people like working together on you know, an infrastructure deal

585
00:30:24,520 --> 00:30:26,760
Speaker 1: or whatever. And so you see and you see this

586
00:30:26,880 --> 00:30:29,000
Speaker 1: in the way that Joe Biden is positioning himself to

587
00:30:29,080 --> 00:30:32,080
Speaker 1: run again going to Kentucky with being seen with Mitch

588
00:30:32,160 --> 00:30:35,960
Speaker 1: McConnell in, by the way, a swing portion of Kentucky.

589
00:30:35,920 --> 00:30:37,680
Speaker 1: I know, people don't think of Kentucky as a swing state,

590
00:30:37,720 --> 00:30:39,320
Speaker 1: but they actually have a governor's race on the ballot

591
00:30:39,320 --> 00:30:41,520
Speaker 1: this year and it's a Democrat who runs the state

592
00:30:41,600 --> 00:30:43,760
Speaker 1: right now, and he is one of the most popular

593
00:30:44,360 --> 00:30:47,200
Speaker 1: governors in the entire country, which is also very interesting.

594
00:30:47,240 --> 00:30:50,520
Speaker 1: So ide know, you guys know, I'm obsessed with Kentucky politics. Okay,

595
00:30:50,560 --> 00:30:53,640
Speaker 1: So that's the Republican side of the Ledger in terms

596
00:30:53,680 --> 00:30:56,000
Speaker 1: of what they want to see out of this Congress.

597
00:30:56,040 --> 00:30:59,640
Speaker 1: They also ask Democrats what their priorities are for this

598
00:30:59,680 --> 00:31:03,400
Speaker 1: next congress. Let's put this up on the screen. Number

599
00:31:03,480 --> 00:31:09,160
Speaker 1: one priority for Democrats for this Congress is protecting Social

600
00:31:09,160 --> 00:31:12,800
Speaker 1: Security and Medicare seventy eight percent. Refer back to our

601
00:31:12,840 --> 00:31:15,760
Speaker 1: previous segment about how you know, at least some Republicans

602
00:31:15,760 --> 00:31:18,680
Speaker 1: are being quite upfront about how quote unquote entitlements, which

603
00:31:18,720 --> 00:31:21,479
Speaker 1: is Social Security and Medicare are in their sites. And

604
00:31:21,520 --> 00:31:23,440
Speaker 1: you can see how unpopular this would be certainly with

605
00:31:23,480 --> 00:31:26,120
Speaker 1: the Democratic base, but this was also one of the

606
00:31:26,160 --> 00:31:29,120
Speaker 1: top priorities, so it's actually the second highest priority for

607
00:31:29,360 --> 00:31:34,160
Speaker 1: all voters overall. For Democrats, the second highest party is

608
00:31:34,160 --> 00:31:37,200
Speaker 1: addressing climate change, third highest is protecting abortion access, and

609
00:31:37,480 --> 00:31:42,680
Speaker 1: fourth highest is lowering inflation. Zoom ount to the general public,

610
00:31:43,160 --> 00:31:46,680
Speaker 1: and you have number one priority continues to be lower inflation.

611
00:31:46,760 --> 00:31:50,160
Speaker 1: Seventy six percent say that, Seventy one percent say protect

612
00:31:50,240 --> 00:31:52,960
Speaker 1: social security and medicare. So again, this is a challenge

613
00:31:53,000 --> 00:31:56,280
Speaker 1: for the Republican Party which has staked out an ideological

614
00:31:56,520 --> 00:31:59,800
Speaker 1: position which is directly at odds with what a overwhelming

615
00:31:59,800 --> 00:32:01,840
Speaker 1: with already of Americans want to see on this Congress.

616
00:32:02,240 --> 00:32:05,680
Speaker 1: And then sixty three percent say reduce crime. There was

617
00:32:05,720 --> 00:32:08,560
Speaker 1: another piece Sager here that I thought was interesting, which

618
00:32:08,600 --> 00:32:12,000
Speaker 1: is they asked about supporting aid to Ukraine. This is

619
00:32:12,040 --> 00:32:14,280
Speaker 1: one where they're starting to be a growing partisan split,

620
00:32:14,320 --> 00:32:18,520
Speaker 1: and especially a big split within the Republican parties, within

621
00:32:18,600 --> 00:32:22,120
Speaker 1: the general Republican voters and the what they define as

622
00:32:22,200 --> 00:32:26,400
Speaker 1: MAGA Republican voters, where the MAGA voters were basically split

623
00:32:26,520 --> 00:32:29,920
Speaker 1: on whether they support a to Ukraine or not. Overall,

624
00:32:29,960 --> 00:32:33,040
Speaker 1: you've got sixty four percent saying they support aid thirty

625
00:32:33,080 --> 00:32:35,920
Speaker 1: six percent opposed. I'd have to go back and look

626
00:32:35,920 --> 00:32:39,440
Speaker 1: at some previous numbers, but I believe that number of

627
00:32:39,640 --> 00:32:43,920
Speaker 1: support is trickling down over time and definitely softening ultimately

628
00:32:43,960 --> 00:32:46,000
Speaker 1: over time. Oh no, there's no question. At one point

629
00:32:46,000 --> 00:32:47,959
Speaker 1: it was almost eighty or ninety percent, I think at

630
00:32:47,960 --> 00:32:50,000
Speaker 1: the outbreak of the war. So, I mean it makes sense.

631
00:32:50,000 --> 00:32:51,880
Speaker 1: We're about a year in now, and so you're of

632
00:32:51,960 --> 00:32:54,000
Speaker 1: course going to start asked questions. But right now this

633
00:32:54,040 --> 00:32:55,760
Speaker 1: is all going to keep in Look, I mean, the

634
00:32:55,800 --> 00:32:58,200
Speaker 1: way the question is asked to me is outrageous, Like

635
00:32:58,200 --> 00:33:00,960
Speaker 1: do you support a to Ukraine? Nobody, very few people

636
00:33:00,960 --> 00:33:03,320
Speaker 1: are like zero ad to Ukraine. We're talking about the

637
00:33:03,360 --> 00:33:05,960
Speaker 1: type of aid to Ukraine in conjunction with what in

638
00:33:06,000 --> 00:33:09,280
Speaker 1: conjunction with the So don't let yourself get gas lit on.

639
00:33:09,400 --> 00:33:15,280
Speaker 1: You know. Over there's many there are many nuances to

640
00:33:15,440 --> 00:33:19,640
Speaker 1: this entire discussion which do not belie I support AGU. Yes,

641
00:33:19,640 --> 00:33:21,360
Speaker 1: do you want to send fighter jets? Do you want

642
00:33:21,360 --> 00:33:24,040
Speaker 1: to spend humanitarian air? Like? There's a lot of different

643
00:33:24,760 --> 00:33:27,280
Speaker 1: ways that you could slice. So within that context, what

644
00:33:27,560 --> 00:33:29,640
Speaker 1: can we learn from this all of this, which is

645
00:33:29,760 --> 00:33:33,280
Speaker 1: I think That's why the cutting the Social Security entitlement

646
00:33:33,280 --> 00:33:37,080
Speaker 1: program being pushed by the Freedom Caucus, it's going to

647
00:33:37,160 --> 00:33:40,160
Speaker 1: be a big problem for Republicans. I mean, we underrate

648
00:33:40,280 --> 00:33:44,040
Speaker 1: significantly how much Paul Ryan's addition to the Mitt Romney

649
00:33:44,360 --> 00:33:47,640
Speaker 1: ticket really hurt him in the general election, because it

650
00:33:47,680 --> 00:33:50,080
Speaker 1: wasn't just about painting Mitt Romney as like out of

651
00:33:50,120 --> 00:33:54,040
Speaker 1: touch rich elite. It was also like, Paul Ryan wants

652
00:33:54,080 --> 00:33:56,640
Speaker 1: to cut your medicare I mean, do we all remember

653
00:33:56,680 --> 00:33:59,440
Speaker 1: that famous video that Paul Ryan did with the charts

654
00:33:59,440 --> 00:34:04,200
Speaker 1: about the point yeah, power points. God, I'm really I

655
00:34:04,240 --> 00:34:07,320
Speaker 1: hate myself even remembering it, but it mattered a lot

656
00:34:07,360 --> 00:34:10,919
Speaker 1: to the American people. People resoundly rejected it. So over

657
00:34:10,960 --> 00:34:13,160
Speaker 1: and over again, we've had a situation where touching the

658
00:34:13,280 --> 00:34:16,800
Speaker 1: entitlement programs is just looked at as complete anathema, especially

659
00:34:16,840 --> 00:34:20,520
Speaker 1: whenever you're not willing to discuss cuts elsewhere, or especially

660
00:34:20,520 --> 00:34:23,360
Speaker 1: whenever you're trying to discuss in the context of removing

661
00:34:23,400 --> 00:34:26,360
Speaker 1: benefits away instead of trying to make it quote more sustainable.

662
00:34:26,360 --> 00:34:27,800
Speaker 1: And what they really mean by that is like pushing

663
00:34:27,800 --> 00:34:30,799
Speaker 1: retirement ages up or cutting benefits over the years, or

664
00:34:30,800 --> 00:34:33,920
Speaker 1: even worse, which is privatizing it. Yeah, something mister. By

665
00:34:33,920 --> 00:34:36,520
Speaker 1: the way, Blake Masters suffered at the polls, we also

666
00:34:36,560 --> 00:34:38,960
Speaker 1: from the rate that so you can see very clearly

667
00:34:39,040 --> 00:34:41,240
Speaker 1: in part of the reasons why people vote a Democrat

668
00:34:41,480 --> 00:34:43,520
Speaker 1: if you're going to have Medicare and Social Security spending

669
00:34:43,600 --> 00:34:46,040
Speaker 1: up there. This also shows you how difficult and how

670
00:34:46,080 --> 00:34:48,480
Speaker 1: bad the Rick Scott plan that was released to cut

671
00:34:48,480 --> 00:34:51,120
Speaker 1: social Security was because Biden just beat them over the

672
00:34:51,160 --> 00:34:52,839
Speaker 1: head with it, persa. I didn't think it was going

673
00:34:52,880 --> 00:34:55,480
Speaker 1: to break through, but clearly at least some of it did.

674
00:34:55,920 --> 00:34:57,960
Speaker 1: To you know, I always forget there's a lot of

675
00:34:58,000 --> 00:35:00,720
Speaker 1: old people in this country a ton and they vote,

676
00:35:00,800 --> 00:35:03,120
Speaker 1: and it's like the comedia and the politics and all

677
00:35:03,160 --> 00:35:05,279
Speaker 1: that that you and I consume the vast majority of

678
00:35:05,280 --> 00:35:07,839
Speaker 1: our audience cares about as well, is just totally out

679
00:35:07,840 --> 00:35:09,960
Speaker 1: of step. So for them, I mean, they probably you know,

680
00:35:10,200 --> 00:35:14,200
Speaker 1: view their AARP blasts and mailers, yeah, all this other stuff,

681
00:35:14,280 --> 00:35:16,160
Speaker 1: and I can't fault them. You know, they're the ones

682
00:35:16,160 --> 00:35:19,480
Speaker 1: who actually benefit when you look at seventy one percent

683
00:35:19,640 --> 00:35:22,440
Speaker 1: saying that protecting Social Security and Medicare has priority formed

684
00:35:22,480 --> 00:35:25,360
Speaker 1: this Congress, Like it's clearly beyond just the boomers and

685
00:35:25,400 --> 00:35:28,319
Speaker 1: the silent gen that is concerned about this. This is

686
00:35:28,440 --> 00:35:31,480
Speaker 1: these programs are really popular. People are proud of these programs.

687
00:35:31,520 --> 00:35:35,720
Speaker 1: They you know, they really believe in them. And obviously

688
00:35:35,800 --> 00:35:39,120
Speaker 1: the Republican Party has long ever since the programs were passed,

689
00:35:39,120 --> 00:35:41,080
Speaker 1: basically they've been trying to do whatever they can to

690
00:35:41,120 --> 00:35:44,080
Speaker 1: dismantle them. George W. Bush ran up against a brick

691
00:35:44,120 --> 00:35:47,440
Speaker 1: wall and this and his efforts to privatize Social Security.

692
00:35:47,560 --> 00:35:50,480
Speaker 1: So they've continued to try to tweak and find ways

693
00:35:50,520 --> 00:35:52,680
Speaker 1: that they can message this and you know, some way

694
00:35:52,719 --> 00:35:54,600
Speaker 1: that's going to be more palatable to the American people,

695
00:35:54,600 --> 00:35:57,680
Speaker 1: but people really really see through it, and it is,

696
00:35:57,840 --> 00:36:03,279
Speaker 1: you know, it is just insanely insane unpopular. One more

697
00:36:03,360 --> 00:36:05,239
Speaker 1: piece of data from here, and then I actually had

698
00:36:05,239 --> 00:36:07,120
Speaker 1: a question for you Stager and the Paul Ryan piece.

699
00:36:07,280 --> 00:36:10,680
Speaker 1: So they asked Republicans how they felt about how the

700
00:36:10,719 --> 00:36:13,399
Speaker 1: speaker fight was handled. And it was split pretty much

701
00:36:13,400 --> 00:36:15,799
Speaker 1: fifty to fifty. Fifty one percent went one way, forty

702
00:36:15,880 --> 00:36:17,919
Speaker 1: nine percent went the other way. I can't remember which

703
00:36:17,920 --> 00:36:20,200
Speaker 1: way it was divided, but basically fifty to fifty. Some

704
00:36:20,239 --> 00:36:24,080
Speaker 1: people have said this was great, half said this was terrible.

705
00:36:24,280 --> 00:36:26,920
Speaker 1: So divided in terms of how people felt about that.

706
00:36:26,960 --> 00:36:28,279
Speaker 1: But the question I was going to ask you is

707
00:36:28,320 --> 00:36:32,080
Speaker 1: you mentioned Paul Ryan, and a lot of the priorities

708
00:36:32,280 --> 00:36:35,880
Speaker 1: that are reflected in the concessions that the Freedom Caucus

709
00:36:36,040 --> 00:36:39,400
Speaker 1: was able to extract from Kevin McCarthy are very Paul

710
00:36:39,520 --> 00:36:43,160
Speaker 1: Ryan type priorities. And yet I know that they like

711
00:36:43,239 --> 00:36:46,439
Speaker 1: really hate Paul Ryan now and I don't really understand it. Well,

712
00:36:46,480 --> 00:36:48,440
Speaker 1: I mean, the whole knock on Paul Ryan is that

713
00:36:48,480 --> 00:36:50,360
Speaker 1: he was you know, he didn't it wasn't a fighter.

714
00:36:50,560 --> 00:36:52,480
Speaker 1: And I will say, like part of the reason he

715
00:36:52,560 --> 00:36:54,480
Speaker 1: got the speakership in the first place because he did

716
00:36:54,480 --> 00:36:56,759
Speaker 1: agree with them substantively on some of the spending cuts.

717
00:36:56,760 --> 00:36:58,920
Speaker 1: So it's not like that's why they didn't guess they

718
00:36:58,920 --> 00:37:00,919
Speaker 1: more view him as like a trade to Trump because

719
00:37:00,960 --> 00:37:03,480
Speaker 1: he kind of criticizes the movement. A lot of it

720
00:37:03,520 --> 00:37:06,000
Speaker 1: is like more meticultural in terms of the it's more

721
00:37:06,000 --> 00:37:08,279
Speaker 1: about the aesthetics, it's a lot more about it about

722
00:37:08,280 --> 00:37:10,440
Speaker 1: the ideality. Well, remember also Paul Ryan did hate them

723
00:37:10,440 --> 00:37:14,320
Speaker 1: and basically actively spoke out against him after he left office.

724
00:37:14,360 --> 00:37:16,399
Speaker 1: Part of the reason why they also hated him as well.

725
00:37:17,040 --> 00:37:19,360
Speaker 1: They never saw him as like a genuine ideology. A

726
00:37:19,400 --> 00:37:21,239
Speaker 1: lot of it comes down to whether you're willing to

727
00:37:21,320 --> 00:37:24,200
Speaker 1: quote fight or not. That's all that really matters. And

728
00:37:24,200 --> 00:37:27,200
Speaker 1: that's why I mean, look, if you're looking at that number,

729
00:37:27,360 --> 00:37:30,359
Speaker 1: fifty percent is a lot of Republicans who support what

730
00:37:30,520 --> 00:37:33,840
Speaker 1: only what twenty actually we're willing to do. So that

731
00:37:33,960 --> 00:37:36,719
Speaker 1: shows you they got a lot of support. Everything I've

732
00:37:36,760 --> 00:37:39,800
Speaker 1: read from Bayner and all of them is that they

733
00:37:40,080 --> 00:37:44,640
Speaker 1: were they despised Roger Ayles and Sean Hannity and Bill

734
00:37:44,640 --> 00:37:49,160
Speaker 1: O'Reilly because they always had Jim Jordan and Michelle Bachman

735
00:37:49,239 --> 00:37:51,320
Speaker 1: and many of the other Tea Party warriors. They're like,

736
00:37:51,360 --> 00:37:54,000
Speaker 1: you don't understand what stars you're making out of these

737
00:37:54,000 --> 00:37:56,160
Speaker 1: people on the amount of leverage that they have now

738
00:37:56,200 --> 00:37:59,439
Speaker 1: over my caucus. We're basically now ten years or even

739
00:37:59,480 --> 00:38:04,640
Speaker 1: more into that phenomenon, and just shows you that these people, look,

740
00:38:04,680 --> 00:38:07,480
Speaker 1: you can hate them, love them whatever. They really have

741
00:38:07,640 --> 00:38:11,080
Speaker 1: the pulse of the actual base of the party, or

742
00:38:11,120 --> 00:38:13,560
Speaker 1: at the very least like the people who have been there,

743
00:38:13,760 --> 00:38:16,239
Speaker 1: like Rock Red, not only just love Trump, but like

744
00:38:16,560 --> 00:38:19,319
Speaker 1: hate the establishment. Yeah, at a core level, the Jim

745
00:38:19,400 --> 00:38:21,440
Speaker 1: Jordan's and the Gates of the world, like they are

746
00:38:21,480 --> 00:38:24,560
Speaker 1: heroes for exactly this reason. And see it's funny you

747
00:38:24,560 --> 00:38:27,520
Speaker 1: could even mention Jim Jordan and Mattgate's in the same breath,

748
00:38:27,560 --> 00:38:31,520
Speaker 1: because ideologically they're actually quite a different total difference. But

749
00:38:31,760 --> 00:38:35,520
Speaker 1: I think what you're pointing to is they love the fight, yeah,

750
00:38:35,560 --> 00:38:38,560
Speaker 1: and the details of what it's over are less important.

751
00:38:38,920 --> 00:38:42,280
Speaker 1: So there's a contradiction here where we're talking about how

752
00:38:42,360 --> 00:38:45,200
Speaker 1: you know this priority and that priority and this tactic

753
00:38:45,640 --> 00:38:47,719
Speaker 1: that these things are going to be really unpopular, things

754
00:38:47,760 --> 00:38:50,800
Speaker 1: like going after Social Security and Medicare. But the fight

755
00:38:50,880 --> 00:38:53,760
Speaker 1: itself is very popular. People love to see it. People

756
00:38:53,800 --> 00:38:56,719
Speaker 1: love to see goober like Kevin McCarthy twisting the one.

757
00:38:56,840 --> 00:38:59,120
Speaker 1: I love to see it, right, So I think the

758
00:38:59,560 --> 00:39:03,520
Speaker 1: fight and the affect and the approach is extremely popular.

759
00:39:03,640 --> 00:39:07,600
Speaker 1: It's extremely satisfying. And it's only down the road when

760
00:39:07,640 --> 00:39:11,000
Speaker 1: you see what concessions wor shure what that actually means

761
00:39:11,120 --> 00:39:15,160
Speaker 1: and what their ideological priorities are, that the bloom kind

762
00:39:15,160 --> 00:39:16,920
Speaker 1: of comes off the roads and you end up, like

763
00:39:17,040 --> 00:39:20,080
Speaker 1: Mitt Romney and Paul Ryan and a lot of other Republicans,

764
00:39:20,200 --> 00:39:22,759
Speaker 1: finding out exactly how much appetite the American people have

765
00:39:22,920 --> 00:39:27,880
Speaker 1: for dismantling social security very true. All right, let's go

766
00:39:27,920 --> 00:39:30,239
Speaker 1: to the next one. Some Twitter files actually broke last night,

767
00:39:30,719 --> 00:39:33,600
Speaker 1: given over to Alex Berenson at his substack. So let's

768
00:39:33,600 --> 00:39:35,640
Speaker 1: go ahead and put this up there on the screen.

769
00:39:35,760 --> 00:39:38,720
Speaker 1: The headline from Alex's quote from the Twitter files. Pfizer

770
00:39:38,760 --> 00:39:42,680
Speaker 1: board member Scott Gottlieb secretly pressed Twitter to hide post

771
00:39:42,760 --> 00:39:47,560
Speaker 1: challenging his company's massively profitable COVID jabs to funnel his demands.

772
00:39:47,600 --> 00:39:50,479
Speaker 1: Gottlieb used the same Twitter lobbyist that the White House

773
00:39:50,520 --> 00:39:53,600
Speaker 1: did fresh evidence of an overlap between the companies selling

774
00:39:53,600 --> 00:39:56,720
Speaker 1: the mRNA shots and the government forcing them on the public.

775
00:39:56,960 --> 00:40:00,520
Speaker 1: What he specifically points to is that Scott doctors go. Gottlieb,

776
00:40:00,560 --> 00:40:03,719
Speaker 1: who previously headed the FDA under Donald Trump and then

777
00:40:03,840 --> 00:40:06,680
Speaker 1: later became a pro director on the board of Pfizer,

778
00:40:07,520 --> 00:40:10,280
Speaker 1: saw a tweet that he didn't like, and that tweet

779
00:40:10,560 --> 00:40:15,319
Speaker 1: explained specifically about natural immunity after COVID infection was at

780
00:40:15,360 --> 00:40:17,600
Speaker 1: the time being litigated as whether it was superior to

781
00:40:17,960 --> 00:40:20,960
Speaker 1: vaccination protection. It actually called on the White House that

782
00:40:21,000 --> 00:40:23,600
Speaker 1: tweet to quote, follow the science and exempt people with

783
00:40:23,719 --> 00:40:27,560
Speaker 1: natural immunity from upcoming vaccine mandates. Remember that we all

784
00:40:27,600 --> 00:40:30,080
Speaker 1: went through this big debate at the time as to

785
00:40:30,120 --> 00:40:34,160
Speaker 1: whether natural immunity should count, whether or not in any

786
00:40:34,200 --> 00:40:37,200
Speaker 1: sort of mandate type system in which you would have,

787
00:40:37,320 --> 00:40:39,800
Speaker 1: you know, almost like social credit, be able to board flights,

788
00:40:39,800 --> 00:40:41,640
Speaker 1: many of the things that were floated at the time

789
00:40:41,719 --> 00:40:45,920
Speaker 1: for interstate travel, etc. Anyway, by suggesting some people might

790
00:40:45,960 --> 00:40:49,080
Speaker 1: not need this vaccination, the tweet could raise questions about

791
00:40:49,080 --> 00:40:53,920
Speaker 1: the shots. So basically Scott Gottlieb reached out and used

792
00:40:54,160 --> 00:40:58,080
Speaker 1: a Twitter lobbyist to actually email the top point of

793
00:40:58,120 --> 00:41:01,320
Speaker 1: contact in the White House that the post was quote

794
00:41:01,360 --> 00:41:04,080
Speaker 1: corrosive and that would worried that it would quote end

795
00:41:04,160 --> 00:41:08,200
Speaker 1: up going viral and driving news coverage. So that email

796
00:41:08,600 --> 00:41:11,200
Speaker 1: was actually found in a search of records that they

797
00:41:11,200 --> 00:41:14,200
Speaker 1: were run over at Twitter last week as part of

798
00:41:14,560 --> 00:41:18,080
Speaker 1: the Twitter files. All of this also kind of involves

799
00:41:18,120 --> 00:41:21,800
Speaker 1: Alex himself, because we should all remember he was banned

800
00:41:22,000 --> 00:41:26,000
Speaker 1: from Twitter and then actually unbanned after he was effectively

801
00:41:26,040 --> 00:41:29,320
Speaker 1: able to prove through the discovery process way before Elon

802
00:41:29,480 --> 00:41:31,799
Speaker 1: even took over Twitter in the first place. That the

803
00:41:31,800 --> 00:41:35,279
Speaker 1: White House is specifically Andy Slavitt, who was working there

804
00:41:35,280 --> 00:41:39,120
Speaker 1: at the time, mentioned him in private communications on slack,

805
00:41:39,200 --> 00:41:42,360
Speaker 1: some of which I've covered here before. So anyway, a

806
00:41:42,400 --> 00:41:44,720
Speaker 1: lot more still needs to become from the Twitter files

807
00:41:44,719 --> 00:41:47,800
Speaker 1: on doctor Fauci and more. I believe Alex is working

808
00:41:48,040 --> 00:41:49,520
Speaker 1: on that right now. But this was one of the

809
00:41:49,520 --> 00:41:51,799
Speaker 1: first things Crystal that he decided to go and put

810
00:41:51,800 --> 00:41:54,200
Speaker 1: out there. Yeah. Well, the other piece of this is

811
00:41:55,360 --> 00:41:59,839
Speaker 1: doctor Gottlieb is a CNBC contributor. Yes, and he also

812
00:42:00,000 --> 00:42:03,040
Speaker 1: so it sits on the Pfeiser board of directors. Yeah,

813
00:42:03,080 --> 00:42:07,200
Speaker 1: that's the problem, and this is not disclosed. So when

814
00:42:07,239 --> 00:42:10,200
Speaker 1: he's doing his little like contributorship, let me just spend

815
00:42:10,520 --> 00:42:14,960
Speaker 1: pretending like he's just a neutral expert. Obviously, Pfeiser has

816
00:42:15,040 --> 00:42:19,520
Speaker 1: a deep financial stake in how people view the vaccines

817
00:42:19,640 --> 00:42:21,680
Speaker 1: and how they feel about, you know, getting a shot

818
00:42:21,719 --> 00:42:25,320
Speaker 1: every year and all of those things and the safety

819
00:42:25,320 --> 00:42:29,360
Speaker 1: of efficacy, et cetera. So that seems like something that

820
00:42:29,400 --> 00:42:33,000
Speaker 1: should be disclosed every single time that he's on air.

821
00:42:33,480 --> 00:42:36,440
Speaker 1: And this is par for the course with not just CNBC,

822
00:42:36,960 --> 00:42:40,080
Speaker 1: with CNN, with MSNBC, with Fox News, with all of them.

823
00:42:40,560 --> 00:42:44,000
Speaker 1: They'll have these people on, they'll portray portray them as

824
00:42:44,040 --> 00:42:47,120
Speaker 1: if they are just neutral experts, just calling balls and strikes.

825
00:42:47,160 --> 00:42:50,680
Speaker 1: Based on their expertise, and you dig, you do one

826
00:42:50,800 --> 00:42:53,840
Speaker 1: Internet search and you find out, Oh, they sit on

827
00:42:53,840 --> 00:42:56,520
Speaker 1: the board of Raytheon, Oh they sit on the board

828
00:42:56,520 --> 00:42:59,160
Speaker 1: of Boeing. Oh, they sit on the board of Pfeiser.

829
00:42:59,560 --> 00:43:03,440
Speaker 1: And so they're not just offering you their unbiased opinion.

830
00:43:04,000 --> 00:43:08,680
Speaker 1: They actually have a huge direct financial stake in the

831
00:43:08,840 --> 00:43:11,759
Speaker 1: commentary that they are ultimately providing. And this may be

832
00:43:11,840 --> 00:43:16,040
Speaker 1: one of the you know, grossest parts honestly of cable news.

833
00:43:16,120 --> 00:43:18,080
Speaker 1: It actually, I'll show you even more why it matters,

834
00:43:18,080 --> 00:43:21,520
Speaker 1: which is that internally within Twitter, after the complaint was

835
00:43:21,600 --> 00:43:25,480
Speaker 1: forwarded to this Twitter strategic response team, it was internally

836
00:43:25,520 --> 00:43:28,400
Speaker 1: Flagg saying quote, please see this report from the former

837
00:43:28,600 --> 00:43:36,200
Speaker 1: FDA commissioner, again ascribing him former FDA commissioner, not member

838
00:43:36,360 --> 00:43:41,280
Speaker 1: with the financial interest in the mRNA vaccine. And actually

839
00:43:41,320 --> 00:43:43,800
Speaker 1: what ended up happening is they ended up putting a quote,

840
00:43:43,800 --> 00:43:47,440
Speaker 1: you know, tag on the tweet itself, but it arose

841
00:43:47,600 --> 00:43:50,360
Speaker 1: all the way to that level. It actually happened again

842
00:43:50,480 --> 00:43:53,680
Speaker 1: one week later after this, where Gottlieb tried to actually

843
00:43:54,280 --> 00:43:58,080
Speaker 1: complain to the Twitter lobbyists who then forwarded it specifically

844
00:43:58,840 --> 00:44:03,480
Speaker 1: about a vaccine and lockdown skeptic saying, quote, sticks and

845
00:44:03,480 --> 00:44:05,680
Speaker 1: stones may break my bones, but a viral pathogen with

846
00:44:05,680 --> 00:44:08,479
Speaker 1: a mortality rate of less than zero percent has cost

847
00:44:08,640 --> 00:44:11,520
Speaker 1: or approximately zero percent, has cost our children nearly three

848
00:44:11,719 --> 00:44:15,160
Speaker 1: years of schooling. Now, I don't even know why mister

849
00:44:15,160 --> 00:44:17,759
Speaker 1: Gottlieb would even object to that, because that's just objectively

850
00:44:17,760 --> 00:44:20,960
Speaker 1: true in terms of both the mortality rate and schooling.

851
00:44:21,000 --> 00:44:23,600
Speaker 1: It's also clearly a policy dispute, and last I checked

852
00:44:23,600 --> 00:44:26,000
Speaker 1: that at least at the time, they didn't necessarily have

853
00:44:26,280 --> 00:44:30,360
Speaker 1: a financial interest in lockdowns, I guess outside of vaccination

854
00:44:30,520 --> 00:44:34,080
Speaker 1: in the process. But again shows you that they are

855
00:44:34,480 --> 00:44:38,880
Speaker 1: internally flagging these tweets at his behest, all the while

856
00:44:39,480 --> 00:44:44,399
Speaker 1: flagging them as done by former FDA commissioner Gottlieb, right,

857
00:44:44,480 --> 00:44:47,600
Speaker 1: not Pfizer board member. And that one was too far

858
00:44:47,680 --> 00:44:50,279
Speaker 1: even for Twitter there, yeah, even though you can't really

859
00:44:50,280 --> 00:44:52,680
Speaker 1: take this one down. But it's just part of the issue,

860
00:44:52,719 --> 00:44:56,000
Speaker 1: which is like, why is there this special program where

861
00:44:56,360 --> 00:45:00,319
Speaker 1: blessed individuals get to forward? You know. I don't also

862
00:45:00,440 --> 00:45:03,880
Speaker 1: even understand this mindset. I see dumb stuff on Twitter

863
00:45:04,160 --> 00:45:08,080
Speaker 1: all the time. I don't think I've ever flagged literally anything,

864
00:45:08,080 --> 00:45:10,279
Speaker 1: because I'm like whatever you know, like who are these

865
00:45:10,320 --> 00:45:12,280
Speaker 1: people get up on their high horse and like start

866
00:45:12,360 --> 00:45:14,840
Speaker 1: emailing powerful contact. I mean, I guess you know, I

867
00:45:14,880 --> 00:45:16,640
Speaker 1: know some people. I can probably forward it to them

868
00:45:16,640 --> 00:45:19,000
Speaker 1: and be like, elon, please ban this person. Like I

869
00:45:19,040 --> 00:45:22,839
Speaker 1: can't imagine the mindset. So there's two parts of it,

870
00:45:22,920 --> 00:45:26,080
Speaker 1: like maybe it's financially motivated, it's very possible giving his

871
00:45:26,120 --> 00:45:28,920
Speaker 1: own Vizor board membership, but also just the secret system

872
00:45:28,920 --> 00:45:30,960
Speaker 1: which you can just you know, email a guy, I

873
00:45:31,040 --> 00:45:34,040
Speaker 1: know a guy effectively content moderation, Like what kind of

874
00:45:34,040 --> 00:45:37,760
Speaker 1: system is that? And also you know, the larger level

875
00:45:37,840 --> 00:45:43,120
Speaker 1: conversation about some things were very clear about COVID and

876
00:45:43,360 --> 00:45:46,200
Speaker 1: the vaccine and some things weren't, and some things continue

877
00:45:46,239 --> 00:45:49,720
Speaker 1: to be subject to debate and different studies show different things.

878
00:45:50,280 --> 00:45:54,120
Speaker 1: And so to put yourself to assert yourself as Twitter

879
00:45:54,280 --> 00:45:58,879
Speaker 1: as like a definitive authority on COVID or any other

880
00:45:59,719 --> 00:46:04,120
Speaker 1: you know, medical information is very very dicey. Let's just

881
00:46:04,160 --> 00:46:07,560
Speaker 1: say place to ultimately be. And Alex does point out

882
00:46:07,600 --> 00:46:11,360
Speaker 1: with regards to Gottlieb flagging that tweet about kids and

883
00:46:11,920 --> 00:46:14,839
Speaker 1: school shutdowns, I think that was right before they were

884
00:46:14,840 --> 00:46:19,040
Speaker 1: getting ready to approve the vaccine for five to thirteen

885
00:46:19,120 --> 00:46:21,400
Speaker 1: year olds or whatever. So you know, there was a

886
00:46:21,440 --> 00:46:26,320
Speaker 1: potential interest in making sure people you know, we're interested

887
00:46:26,320 --> 00:46:28,319
Speaker 1: in that vaccine uptake. Although I will say, you know,

888
00:46:29,000 --> 00:46:32,279
Speaker 1: it's hard to separate out people's financial motivation and they're

889
00:46:32,320 --> 00:46:35,400
Speaker 1: just pure ideology. Yeah, because they very often go together.

890
00:46:35,480 --> 00:46:38,400
Speaker 1: This fits with the Freedom Caucus also, where you know

891
00:46:38,840 --> 00:46:41,360
Speaker 1: it is it because of their donors and what they want?

892
00:46:41,400 --> 00:46:46,680
Speaker 1: Maybe is it because they're just truly like hardcore ideological actors.

893
00:46:47,360 --> 00:46:51,440
Speaker 1: Sometimes it's the latter. Sometimes they're just like very radical,

894
00:46:51,520 --> 00:46:55,200
Speaker 1: hardcore believers. And doctor Gottlieb might have fallen into that

895
00:46:55,239 --> 00:46:56,680
Speaker 1: category as well. I don't want to put that off

896
00:46:56,680 --> 00:46:58,759
Speaker 1: the table. Yeah, look, well yeah don't I don't either.

897
00:46:59,040 --> 00:47:01,400
Speaker 1: All right, let's go to the next part here. C two.

898
00:47:01,520 --> 00:47:04,359
Speaker 1: Let's put it up there on the screen, because all

899
00:47:04,400 --> 00:47:08,400
Speaker 1: of this matters in what context. Well, Maderna, releasing the

900
00:47:08,400 --> 00:47:12,800
Speaker 1: news yesterday, plans to follow in Peiser's footsteps and charge

901
00:47:12,880 --> 00:47:16,560
Speaker 1: up to one hundred and thirty dollars for the COVID

902
00:47:16,640 --> 00:47:20,640
Speaker 1: vaccine here in the United States after they pivot from

903
00:47:20,680 --> 00:47:24,719
Speaker 1: a focus on government contract to commercial distribution centers. And

904
00:47:24,760 --> 00:47:26,400
Speaker 1: I have a lot of questions about this. First of all,

905
00:47:26,440 --> 00:47:29,000
Speaker 1: why would anyone even buy this vaccine at this point

906
00:47:29,200 --> 00:47:31,399
Speaker 1: in the future when it was literally free. I don't

907
00:47:31,400 --> 00:47:35,800
Speaker 1: really understand how that works. Same with Peiser and many

908
00:47:35,880 --> 00:47:37,640
Speaker 1: of the things that they have said about their own

909
00:47:37,719 --> 00:47:40,920
Speaker 1: vaccine efficacy in terms of preventing infection and all that,

910
00:47:40,960 --> 00:47:42,960
Speaker 1: which was a major selling point to most of the

911
00:47:43,000 --> 00:47:45,839
Speaker 1: people who even got the vaccine. For those who are

912
00:47:45,840 --> 00:47:48,560
Speaker 1: wondering why, I say that that was the main impetus.

913
00:47:48,800 --> 00:47:51,080
Speaker 1: Look at the number of people who are have their

914
00:47:51,160 --> 00:47:53,799
Speaker 1: fourth or fifth booster. I think it's like six or

915
00:47:53,880 --> 00:47:57,520
Speaker 1: seven percent of the entire US population in terms of

916
00:47:57,560 --> 00:48:00,440
Speaker 1: the belief in the vaccine efficacy, at least in the

917
00:48:00,440 --> 00:48:03,200
Speaker 1: way that it's being promised now itself. So first of all,

918
00:48:03,239 --> 00:48:05,520
Speaker 1: I don't see the commercial demand, but it also, you know,

919
00:48:05,600 --> 00:48:09,840
Speaker 1: this just shows you just how disgusting the entire price system.

920
00:48:09,960 --> 00:48:13,920
Speaker 1: Within all of this is US government technology is the

921
00:48:13,920 --> 00:48:17,280
Speaker 1: one that created this vaccine. The United States government literally

922
00:48:17,360 --> 00:48:19,600
Speaker 1: moved heaven and earth in order to make sure that

923
00:48:19,640 --> 00:48:23,440
Speaker 1: the vaccine was created. The FDA literally fast tracked and

924
00:48:23,560 --> 00:48:27,920
Speaker 1: emergency use authorized it, and then some states actually mandated

925
00:48:27,920 --> 00:48:32,000
Speaker 1: it for you know part basically participating in society. In

926
00:48:32,040 --> 00:48:34,880
Speaker 1: what world are they then allowed to turn around and

927
00:48:34,960 --> 00:48:38,520
Speaker 1: make even more profit because they've already made billions of

928
00:48:38,560 --> 00:48:41,440
Speaker 1: dollars in profit at this point, So how are we

929
00:48:41,560 --> 00:48:44,200
Speaker 1: possibly allowing this? Like, at the very least, the IP

930
00:48:44,360 --> 00:48:46,239
Speaker 1: belongs to the US government, and that's a good thing

931
00:48:46,280 --> 00:48:47,719
Speaker 1: because then we can have debates about it, we can

932
00:48:47,760 --> 00:48:50,200
Speaker 1: study it, you know, all this instead. You know, now

933
00:48:50,239 --> 00:48:52,960
Speaker 1: it belongs or not now it has always belonged to

934
00:48:53,080 --> 00:48:56,000
Speaker 1: modern identifizer, who now want to commercialize it across the

935
00:48:56,160 --> 00:48:59,080
Speaker 1: entire world. The amount of disgusting price gouging that happens

936
00:48:59,080 --> 00:49:01,640
Speaker 1: with big pharma is truly criminal, and yet we just

937
00:49:01,760 --> 00:49:03,680
Speaker 1: allow it to happen. I mean, the amount we pay

938
00:49:03,800 --> 00:49:07,600
Speaker 1: for any drug in the US versus every other country

939
00:49:07,600 --> 00:49:11,200
Speaker 1: in the world is astounding. Insulin is obviously the perfect example.

940
00:49:11,280 --> 00:49:14,840
Speaker 1: But yeah, I'm reading here, you know, Yahoo Finance report

941
00:49:14,960 --> 00:49:18,080
Speaker 1: on Maderna and their prospects for twenty twenty three, and

942
00:49:18,120 --> 00:49:21,280
Speaker 1: it all hinges on the vaccine you know, they made

943
00:49:21,440 --> 00:49:26,120
Speaker 1: in twenty twenty two. They made some eighteen point four

944
00:49:26,160 --> 00:49:29,920
Speaker 1: billion dollars on this thing. So this has been phenomenally

945
00:49:29,920 --> 00:49:32,520
Speaker 1: profitable for them, and we were the ones. You know,

946
00:49:32,600 --> 00:49:35,239
Speaker 1: our taxpayer dollars that funded the original research in the

947
00:49:35,280 --> 00:49:38,560
Speaker 1: original technology. And guess what, guys, Farma loves to tell

948
00:49:38,600 --> 00:49:41,240
Speaker 1: you a story about all of the life saving drugs

949
00:49:41,239 --> 00:49:44,040
Speaker 1: they're developing, et cetera, et cetera. It's all total bullshit.

950
00:49:44,600 --> 00:49:47,880
Speaker 1: Every new drug molecule has been developed by in the

951
00:49:47,880 --> 00:49:52,280
Speaker 1: past decade has been developed with US tax payer dollars.

952
00:49:52,600 --> 00:49:56,839
Speaker 1: This whole system is disgusting, it's corrupt, it's insane, and

953
00:49:57,480 --> 00:50:00,680
Speaker 1: you know the media outlets and social medi media companies

954
00:50:00,719 --> 00:50:02,719
Speaker 1: are all in on it. Well, I mean that's you know.

955
00:50:02,760 --> 00:50:05,680
Speaker 1: Something Rogan actually always talks about is the level of

956
00:50:05,719 --> 00:50:09,800
Speaker 1: television advertising some like seventy years vast majority of television

957
00:50:10,200 --> 00:50:13,239
Speaker 1: advertising that you see. Look, I don't watch cable news,

958
00:50:13,280 --> 00:50:15,560
Speaker 1: but you know, on the rare occasions that I'm at

959
00:50:15,560 --> 00:50:18,160
Speaker 1: my girlfriend's house or parents have it on, I'm like,

960
00:50:18,280 --> 00:50:21,719
Speaker 1: oh my god, Like I've asked my doctor about asked

961
00:50:21,719 --> 00:50:24,160
Speaker 1: her doctor about this drug, and I'm like, well, hold

962
00:50:24,200 --> 00:50:25,719
Speaker 1: on a second, like if I need the drug, like

963
00:50:25,800 --> 00:50:27,680
Speaker 1: the doc will just say that you need this, like

964
00:50:27,800 --> 00:50:32,920
Speaker 1: watching asking him anything about the maybe I have restless

965
00:50:32,960 --> 00:50:35,759
Speaker 1: leg syndrome or something like, or you can just tell

966
00:50:35,760 --> 00:50:37,879
Speaker 1: me it sounds like I have wrestless like syndrome. Here's

967
00:50:37,920 --> 00:50:40,319
Speaker 1: what it is for that. Yeah, I mean, it's it

968
00:50:40,400 --> 00:50:42,040
Speaker 1: really is crazy, and it's a world that you know,

969
00:50:42,080 --> 00:50:44,200
Speaker 1: obviously we don't live in, and most of our viewers

970
00:50:44,239 --> 00:50:46,080
Speaker 1: don't live in because we don't even consume a lot

971
00:50:46,080 --> 00:50:48,200
Speaker 1: of this stuff. But you know, it's rereference to my

972
00:50:48,239 --> 00:50:51,359
Speaker 1: previous You do not underestimate the millions of people that

973
00:50:51,400 --> 00:50:55,360
Speaker 1: do consume network and cable television and they are bombarded

974
00:50:55,400 --> 00:50:57,080
Speaker 1: with the stuff twenty four to seven. By the way,

975
00:50:57,160 --> 00:51:01,400
Speaker 1: remember how we talked about that Alzheimer's drug was just approved.

976
00:51:01,400 --> 00:51:03,759
Speaker 1: It there was a lot of question about whether this

977
00:51:03,800 --> 00:51:08,000
Speaker 1: thing really worked. The cost of it was astronomical. It

978
00:51:08,120 --> 00:51:11,400
Speaker 1: was causing just this one drug alone being added into

979
00:51:11,640 --> 00:51:14,839
Speaker 1: Medicare's coverage plan was increasing premiums for seniors. I mean,

980
00:51:14,840 --> 00:51:16,480
Speaker 1: it was just it was this whole big deal. And

981
00:51:16,520 --> 00:51:19,399
Speaker 1: there was actually an investigation that found there was improper

982
00:51:19,680 --> 00:51:24,920
Speaker 1: coordination between the FDA approval Board and the company. So

983
00:51:25,480 --> 00:51:27,600
Speaker 1: there are problems at all levels. So one thing I

984
00:51:27,600 --> 00:51:30,319
Speaker 1: do want to say is a lot of people understandably

985
00:51:30,360 --> 00:51:32,960
Speaker 1: look at this disgusting corp system were like, let me

986
00:51:33,040 --> 00:51:38,239
Speaker 1: then pursue like alternative medicine remedies. That stuff is even

987
00:51:38,400 --> 00:51:43,520
Speaker 1: less regulaz it depends more corrupt. There is no regulatory

988
00:51:43,560 --> 00:51:47,160
Speaker 1: regime covering like these supplements and whatever and all of

989
00:51:47,200 --> 00:51:50,080
Speaker 1: these like chiropractors and all this stuff that and there's

990
00:51:50,200 --> 00:51:53,640
Speaker 1: it's very u loosely regulated in terms of what sort

991
00:51:53,680 --> 00:51:56,160
Speaker 1: of results they can ultimately promise. A lot of these

992
00:51:56,200 --> 00:51:57,799
Speaker 1: pills that you buy in the store, you don't even

993
00:51:57,880 --> 00:52:00,839
Speaker 1: know what's in Nobody is checking to see that these

994
00:52:00,880 --> 00:52:03,319
Speaker 1: supplements actually have in them what they claim to have

995
00:52:03,400 --> 00:52:05,280
Speaker 1: in them, or that they're going to provide the benefit

996
00:52:05,320 --> 00:52:06,879
Speaker 1: that they are supposed to be. No, that's definitely true,

997
00:52:06,960 --> 00:52:09,200
Speaker 1: especially on supplements. The supplement industry in the US is

998
00:52:09,239 --> 00:52:12,000
Speaker 1: completely under It's totally insane. There's actually a very I

999
00:52:12,040 --> 00:52:15,719
Speaker 1: forget the documentary It's Escaping Me at the time that

1000
00:52:15,880 --> 00:52:18,280
Speaker 1: really goes into it is actually Orrin Hatch, the Cenator

1001
00:52:18,320 --> 00:52:20,640
Speaker 1: from Utah, where a lot of these things are manufacturing.

1002
00:52:20,920 --> 00:52:22,640
Speaker 1: Led to the fact that they don't have to be

1003
00:52:22,640 --> 00:52:24,640
Speaker 1: evaluated by the FDA. All they have to do is

1004
00:52:24,640 --> 00:52:26,520
Speaker 1: put on the bottom of these statements have not been

1005
00:52:26,560 --> 00:52:29,600
Speaker 1: evaluated by the FDA. Another reason Actually, you have to

1006
00:52:29,640 --> 00:52:31,400
Speaker 1: do a lot of due diligence. I take a lot

1007
00:52:31,440 --> 00:52:33,480
Speaker 1: of supplements every day, and you have to do it

1008
00:52:33,520 --> 00:52:36,000
Speaker 1: a lot to try and find companies which actually test

1009
00:52:36,040 --> 00:52:38,879
Speaker 1: their stuff. Is what you're saying is actually in it,

1010
00:52:38,920 --> 00:52:44,360
Speaker 1: and anyway, it is a absolutely out of control industry

1011
00:52:44,400 --> 00:52:46,840
Speaker 1: in its own right. That said, I will speak up

1012
00:52:46,840 --> 00:52:49,600
Speaker 1: for some alternative medicine, some like old wives tales, and

1013
00:52:49,600 --> 00:52:51,839
Speaker 1: all those things are actually true. That doesn't mean though,

1014
00:52:51,880 --> 00:52:54,640
Speaker 1: that what you're being sold for them is what you're

1015
00:52:54,640 --> 00:52:56,880
Speaker 1: getting at this store. So that is a problem in

1016
00:52:56,920 --> 00:52:58,920
Speaker 1: and of itself. Yeah, I'm saying I think a lot

1017
00:52:58,920 --> 00:53:01,359
Speaker 1: of people understand and to believe. They're like, okay, well

1018
00:53:01,360 --> 00:53:04,160
Speaker 1: this is corrupt. True, but at least there are some

1019
00:53:04,560 --> 00:53:07,760
Speaker 1: like clinical trials and some sort of government regulatory body

1020
00:53:07,880 --> 00:53:10,560
Speaker 1: alternate medicine overa there's like basically none of that. So

1021
00:53:10,719 --> 00:53:13,200
Speaker 1: just keep that in mind as your do your own research,

1022
00:53:13,600 --> 00:53:15,480
Speaker 1: et cetera, et cetera. Do your own research. All right,

1023
00:53:15,560 --> 00:53:19,840
Speaker 1: let's go to the This is something our producer Griffin

1024
00:53:20,200 --> 00:53:22,399
Speaker 1: reminded us of, and the more I think about it,

1025
00:53:22,640 --> 00:53:25,440
Speaker 1: I can't get over it. Prince Harry, of course, is

1026
00:53:25,480 --> 00:53:28,319
Speaker 1: in the news there's all these discussions about how he

1027
00:53:28,400 --> 00:53:31,200
Speaker 1: lost his virginity to an older woman, how he got

1028
00:53:31,239 --> 00:53:34,799
Speaker 1: into an altercation with Prince William, whether or not he

1029
00:53:34,920 --> 00:53:39,880
Speaker 1: called the Royal family racist. Nobody apparently is focusing on

1030
00:53:40,000 --> 00:53:43,920
Speaker 1: the most insane part of his interview and of his book,

1031
00:53:44,160 --> 00:53:50,040
Speaker 1: where he admits and discusses killing twenty five people in Afghanistan.

1032
00:53:50,120 --> 00:53:52,040
Speaker 1: Let's get to it. I was able to refocus on

1033
00:53:52,160 --> 00:53:54,440
Speaker 1: purpose larger than myself, to be wearing the same uniform

1034
00:53:54,480 --> 00:53:56,040
Speaker 1: as everybody else if you're a normolf the first time

1035
00:53:56,040 --> 00:53:58,480
Speaker 1: in my life, and accomplish some of the biggest challenges

1036
00:53:58,480 --> 00:54:00,640
Speaker 1: that I have A had, austraya becoming apoty to pilot.

1037
00:54:00,960 --> 00:54:02,960
Speaker 1: You don't get a posse with any prints. The Apache

1038
00:54:02,960 --> 00:54:05,280
Speaker 1: doesn't give a crap that that you're There's no Prince

1039
00:54:05,280 --> 00:54:07,520
Speaker 1: Aulto pilot button that you can press and just takes

1040
00:54:07,560 --> 00:54:10,640
Speaker 1: your way. I was a really good candidate for the military.

1041
00:54:10,680 --> 00:54:14,400
Speaker 1: I was a young man in my twenties suffering from shock.

1042
00:54:14,560 --> 00:54:16,600
Speaker 1: But I was now in the front seat of on Apache,

1043
00:54:16,640 --> 00:54:20,319
Speaker 1: shooting it, flying it, monitoring four radios simultaneously, and being

1044
00:54:20,400 --> 00:54:23,960
Speaker 1: there to save and help anybody that was on the ground.

1045
00:54:23,960 --> 00:54:26,239
Speaker 1: With the radio, screaming, we need to support, we need

1046
00:54:26,280 --> 00:54:30,160
Speaker 1: a support. That was my calling. I felt healing from that.

1047
00:54:30,440 --> 00:54:32,920
Speaker 1: So let's get now to the actual excerpt from his

1048
00:54:32,960 --> 00:54:35,520
Speaker 1: book where he discusses killing twenty five people. Let's put

1049
00:54:35,520 --> 00:54:37,959
Speaker 1: it up there on the screen. Our graphics team made

1050
00:54:38,200 --> 00:54:40,520
Speaker 1: an excellent one here, and he says, quote, while in

1051
00:54:40,560 --> 00:54:43,279
Speaker 1: the heat of fog and combat, I did not think

1052
00:54:43,320 --> 00:54:46,000
Speaker 1: of those twenty five as people. You can't kill people

1053
00:54:46,080 --> 00:54:48,319
Speaker 1: if you think of them as people. You can't harm

1054
00:54:48,360 --> 00:54:50,160
Speaker 1: people if you think of them as people. They are

1055
00:54:50,239 --> 00:54:53,840
Speaker 1: chess pieces removed from the board, bads taken away before

1056
00:54:53,880 --> 00:54:56,919
Speaker 1: they could kill goods. I'd been trained to otherise them,

1057
00:54:57,000 --> 00:54:59,840
Speaker 1: trained well on some level. I recognize this learned to

1058
00:55:00,000 --> 00:55:02,520
Speaker 1: bach as problematic, but I also saw it as an

1059
00:55:02,640 --> 00:55:07,160
Speaker 1: unavoidable part of soldiering. Now he's probably right about that, Crystal,

1060
00:55:07,200 --> 00:55:09,360
Speaker 1: but it seems like one of those things that somebody

1061
00:55:09,400 --> 00:55:12,799
Speaker 1: should just really never say, especially whenever they're in a

1062
00:55:12,880 --> 00:55:18,560
Speaker 1: prominent position, because, as predicted, his flippant discussions here aren't

1063
00:55:18,560 --> 00:55:22,080
Speaker 1: just damaging the royal family. They're actually causing problems for

1064
00:55:22,239 --> 00:55:26,080
Speaker 1: the British Army and for Afghanistan. So put this up

1065
00:55:26,120 --> 00:55:29,920
Speaker 1: there there's actually been mass anger and protest that broke

1066
00:55:29,960 --> 00:55:34,399
Speaker 1: out in southern Afghanistan after Prince Harry specifically talked about

1067
00:55:34,480 --> 00:55:39,040
Speaker 1: killing twenty five people. He's even been quote clapped back

1068
00:55:39,480 --> 00:55:43,080
Speaker 1: by Taliban spokespeople who are like, our soldiers were not

1069
00:55:43,120 --> 00:55:46,200
Speaker 1: simply chess pieces and ponds that were on the board.

1070
00:55:46,440 --> 00:55:49,839
Speaker 1: And then actually in the UK, people who are in

1071
00:55:49,920 --> 00:55:53,239
Speaker 1: the British military are denouncing Prince Harry, saying this is

1072
00:55:53,239 --> 00:55:56,080
Speaker 1: not how we teach our soldiers to behave while they're

1073
00:55:56,080 --> 00:55:58,759
Speaker 1: in combat. This is not the way that somebody who

1074
00:55:58,840 --> 00:56:01,759
Speaker 1: served in combat should be speaking about it. You're not

1075
00:56:01,800 --> 00:56:03,920
Speaker 1: talking about it in a respectful way, like you're actually

1076
00:56:04,000 --> 00:56:07,000
Speaker 1: denigrating the service that was made at the time. And

1077
00:56:07,080 --> 00:56:10,799
Speaker 1: actually it belies some crazy kind of war propaganda that

1078
00:56:10,840 --> 00:56:14,000
Speaker 1: also happened at the time in the UK, where Prince

1079
00:56:14,000 --> 00:56:16,960
Speaker 1: Harry and William were like genuinely hailed as heroes and

1080
00:56:17,000 --> 00:56:19,080
Speaker 1: it was one of the ways that the war effort

1081
00:56:19,280 --> 00:56:22,680
Speaker 1: was sold to the British public. So anyway, all of

1082
00:56:22,680 --> 00:56:26,560
Speaker 1: this put together, the point is is that him flippantly

1083
00:56:26,640 --> 00:56:29,879
Speaker 1: talking after his Mushrooms trip about you know, twenty five

1084
00:56:30,520 --> 00:56:33,200
Speaker 1: people getting killed, and all that is being totally ignored

1085
00:56:34,920 --> 00:56:37,880
Speaker 1: and the actual problems that anyways now causing for the

1086
00:56:37,920 --> 00:56:40,719
Speaker 1: British military in this entire I find the whole thing

1087
00:56:40,800 --> 00:56:43,440
Speaker 1: just kind of insane because I literally checked the Daily

1088
00:56:43,480 --> 00:56:45,719
Speaker 1: Mail and all that this morning. It's all just about

1089
00:56:45,760 --> 00:56:50,560
Speaker 1: Prince Harry and whether Megan effectively called them racists or

1090
00:56:50,840 --> 00:56:53,320
Speaker 1: did not call them racists or not. I'm like, look,

1091
00:56:54,080 --> 00:56:55,920
Speaker 1: I guess I care about some of that, but like,

1092
00:56:56,000 --> 00:56:59,200
Speaker 1: not even close to you know, an actual geopolitical problem

1093
00:56:59,400 --> 00:57:01,799
Speaker 1: that the Prince is now created. Here. I mean, the

1094
00:57:01,840 --> 00:57:05,400
Speaker 1: words here, to go back to them, are truly disturbing.

1095
00:57:05,719 --> 00:57:07,759
Speaker 1: You can't really harm people if you think of them

1096
00:57:07,760 --> 00:57:10,600
Speaker 1: as people. They were chess pieces removed from the board,

1097
00:57:11,200 --> 00:57:15,839
Speaker 1: bads taken away before they could kill goods. I'd been

1098
00:57:15,880 --> 00:57:19,800
Speaker 1: trained to otherwise them trained well. And you know, at

1099
00:57:19,800 --> 00:57:24,480
Speaker 1: this point, we know how many Afghan civilians, including children,

1100
00:57:24,920 --> 00:57:30,440
Speaker 1: were murdered during our occupation of Afghanistan, and it was

1101
00:57:31,240 --> 00:57:35,040
Speaker 1: I'm sure enabled by exactly this type of mindset and

1102
00:57:35,160 --> 00:57:37,880
Speaker 1: type of thinking, where you know, a lot of this

1103
00:57:37,920 --> 00:57:41,320
Speaker 1: would be different. Neighbors have a grievance and they go, oh,

1104
00:57:41,360 --> 00:57:43,960
Speaker 1: this one's Taliban, and the next thing you know, you know,

1105
00:57:44,040 --> 00:57:47,520
Speaker 1: you're doing a night rate and killing some family on

1106
00:57:47,640 --> 00:57:51,080
Speaker 1: our way out, which I supported the withdrawal from Afghanistan,

1107
00:57:51,120 --> 00:57:53,000
Speaker 1: as did you. We advocated for it here and that

1108
00:57:53,120 --> 00:57:55,280
Speaker 1: we took a lot of heat and you know, back

1109
00:57:55,360 --> 00:57:58,560
Speaker 1: Biden on it. But on their way out, in order

1110
00:57:58,640 --> 00:58:01,440
Speaker 1: to show they're like tough guys credentials, they do this

1111
00:58:01,600 --> 00:58:05,040
Speaker 1: final drone strike on what was supposed to be this

1112
00:58:05,240 --> 00:58:09,360
Speaker 1: terrorist militant, et cetera. Turns out it was an AID

1113
00:58:09,440 --> 00:58:13,240
Speaker 1: worker and his family and his young babies in the

1114
00:58:13,280 --> 00:58:17,880
Speaker 1: middle of a busy residential area in Cobble. So we

1115
00:58:17,960 --> 00:58:21,760
Speaker 1: know that this fairy tale that he's continuing to tell

1116
00:58:21,800 --> 00:58:24,800
Speaker 1: here about how, oh well I only murdered bads that

1117
00:58:24,880 --> 00:58:27,720
Speaker 1: were taken away before they could hurt the goods is

1118
00:58:27,880 --> 00:58:33,000
Speaker 1: complete and utter bullshit. The fact that it just goes

1119
00:58:33,040 --> 00:58:35,640
Speaker 1: by without a care shows you that it's not just

1120
00:58:36,320 --> 00:58:39,680
Speaker 1: you know, people like Harry who were trained to otherwise

1121
00:58:39,760 --> 00:58:43,480
Speaker 1: Afghanis civilians. It's the entire media, It's the entire you know,

1122
00:58:44,040 --> 00:58:47,160
Speaker 1: us public, just okay public, et cetera. You know, it's like,

1123
00:58:47,400 --> 00:58:50,600
Speaker 1: you should not be talking so flippantly about especially in

1124
00:58:50,640 --> 00:58:53,600
Speaker 1: a public and bragging about it then on national television

1125
00:58:53,600 --> 00:58:56,000
Speaker 1: and look, just to give you guys a taste of like, wow,

1126
00:58:56,080 --> 00:58:58,440
Speaker 1: this is really being received. Put this up there on

1127
00:58:58,440 --> 00:59:01,200
Speaker 1: the screen. This These are all the main takeaways for

1128
00:59:01,320 --> 00:59:03,840
Speaker 1: most of these people. Prince Harry says the UK Royals

1129
00:59:03,840 --> 00:59:07,440
Speaker 1: got into bed yet him literally calling Prince Charles's wife

1130
00:59:07,440 --> 00:59:10,600
Speaker 1: the Queen Consort Camilla quote of the villain. Prince Harry

1131
00:59:10,640 --> 00:59:13,720
Speaker 1: says his abusers he still hopes to reconcile with, accuses

1132
00:59:13,760 --> 00:59:17,000
Speaker 1: the Royal family of being complicit in Megan's pain and suffering,

1133
00:59:17,000 --> 00:59:20,880
Speaker 1: and Anderson Cooper asking him about Megan Markele and reconciliation

1134
00:59:21,200 --> 00:59:24,479
Speaker 1: with the Royal family like this is the actual important part,

1135
00:59:24,520 --> 00:59:27,560
Speaker 1: and a while ago you would think that it probably

1136
00:59:27,720 --> 00:59:30,720
Speaker 1: would have caused a stir so anyway, this is what

1137
00:59:30,720 --> 00:59:34,600
Speaker 1: the tabloid press is focused on, all of the wrong stuff.

1138
00:59:34,640 --> 00:59:37,880
Speaker 1: Like this to me is the absolute top takeaway, especially

1139
00:59:37,880 --> 00:59:39,880
Speaker 1: given the fact that it's causing problems, that the people

1140
00:59:39,880 --> 00:59:42,000
Speaker 1: in the British military are very pissed at him for

1141
00:59:42,120 --> 00:59:45,160
Speaker 1: talking this way and actually almost encouraging this type of

1142
00:59:45,200 --> 00:59:47,880
Speaker 1: like machismo behavior in the way that you talk about

1143
00:59:48,000 --> 00:59:52,320
Speaker 1: conflict afterwards, and then in Afghanistan itself also causing mass

1144
00:59:52,320 --> 00:59:55,280
Speaker 1: protests after it. So it's a funny episode and it

1145
00:59:55,360 --> 00:59:58,320
Speaker 1: just shows you like, for some reason, the stuff that

1146
00:59:58,360 --> 01:00:01,840
Speaker 1: they go for is like the least consequential when you know,

1147
01:00:01,880 --> 01:00:04,240
Speaker 1: anyone watching that is like, oh my wait, hold on

1148
01:00:04,280 --> 01:00:06,680
Speaker 1: a second. What Also, what with Anderson Cooper, You're like,

1149
01:00:06,920 --> 01:00:09,040
Speaker 1: he's like glory. I mean, look, pactges are cool. I'm

1150
01:00:09,080 --> 01:00:10,880
Speaker 1: not going to deny it as a helicopter and the

1151
01:00:10,880 --> 01:00:14,120
Speaker 1: people who fly them are legitimately impressive. But he should

1152
01:00:14,120 --> 01:00:16,520
Speaker 1: probably should have asked a couple more following questions along

1153
01:00:16,600 --> 01:00:18,680
Speaker 1: yeah about the mission, being like, well, are you sure

1154
01:00:18,720 --> 01:00:20,480
Speaker 1: who you killed? Were like, did you ever do an

1155
01:00:20,480 --> 01:00:22,480
Speaker 1: after action thing? Like did you find out about what

1156
01:00:22,520 --> 01:00:24,880
Speaker 1: exactly it was? What do you think about the withdrawal

1157
01:00:24,880 --> 01:00:26,880
Speaker 1: from Afghanistan instead of you know, the rest of the

1158
01:00:26,920 --> 01:00:29,640
Speaker 1: crap that they end up focusing on. Yeah, just classic, indeed,

1159
01:00:29,840 --> 01:00:33,000
Speaker 1: absolute classic. All right, media segment here became classic media

1160
01:00:33,040 --> 01:00:35,400
Speaker 1: move This is one of the most classics. So it

1161
01:00:35,400 --> 01:00:38,960
Speaker 1: has now been seven years since twenty sixteen, although it

1162
01:00:39,000 --> 01:00:41,720
Speaker 1: feels like it literally never ends, I guess since or

1163
01:00:41,720 --> 01:00:46,560
Speaker 1: something years since the actual November election twenty sixteen. Let's

1164
01:00:46,600 --> 01:00:48,240
Speaker 1: go and put this up there on the screen. The

1165
01:00:48,320 --> 01:00:51,880
Speaker 1: Washington Post now out with the report put out yesterday saying, quote,

1166
01:00:51,920 --> 01:00:55,120
Speaker 1: Russian trolls on Twitter had little influence on the twenty

1167
01:00:55,200 --> 01:00:59,040
Speaker 1: sixteen election, on twenty sixteen voters specifically, And yet in

1168
01:00:59,080 --> 01:01:02,320
Speaker 1: February of two thousand eighteen, what exactly did they publish

1169
01:01:02,360 --> 01:01:06,000
Speaker 1: timeline quote how Russian trolls allegedly tried to throw the

1170
01:01:06,040 --> 01:01:10,680
Speaker 1: twenty sixteen election to Trump. And the actual story itself

1171
01:01:10,760 --> 01:01:14,400
Speaker 1: is a masterpiece in just the delay of how long

1172
01:01:14,440 --> 01:01:17,960
Speaker 1: it took, it says quote. A study finds minimal impact

1173
01:01:17,960 --> 01:01:21,480
Speaker 1: from Russian influence operations on Twitter and the Trump Clinton

1174
01:01:21,760 --> 01:01:25,360
Speaker 1: presidential election. The study, which New York University Center for

1175
01:01:25,400 --> 01:01:28,720
Speaker 1: Social Media and Politics helms, explores the limits of Russian

1176
01:01:28,720 --> 01:01:32,160
Speaker 1: disinformation and misinformation. My personal sense coming out of this

1177
01:01:32,440 --> 01:01:34,920
Speaker 1: is that it got way over hyped, one of the

1178
01:01:35,000 --> 01:01:39,400
Speaker 1: reports author says about the meaningfulness of Russian tweets. We're

1179
01:01:39,440 --> 01:01:42,520
Speaker 1: looking back on the data, we now see how concentrated

1180
01:01:42,520 --> 01:01:46,000
Speaker 1: this was in one small portion of the population, and

1181
01:01:46,040 --> 01:01:48,360
Speaker 1: how the fact that people who were being exposed were

1182
01:01:48,400 --> 01:01:51,960
Speaker 1: really already very likely to vote for Trump anyways. And

1183
01:01:52,000 --> 01:01:54,240
Speaker 1: then we have this data to show that we can't

1184
01:01:54,280 --> 01:01:59,400
Speaker 1: find any relationship between being exposed to these tweets and

1185
01:01:59,440 --> 01:02:02,680
Speaker 1: people's changeian attitudes. Now, I did not need a study

1186
01:02:02,840 --> 01:02:06,320
Speaker 1: to say that a weird meme of a bear with

1187
01:02:06,400 --> 01:02:09,680
Speaker 1: Trump's face on it was going to influence the election

1188
01:02:09,760 --> 01:02:15,280
Speaker 1: broken Yeah, with like I you know, love Donald J. Trump,

1189
01:02:15,720 --> 01:02:19,240
Speaker 1: with the like what or these? I remember looking back,

1190
01:02:19,280 --> 01:02:21,520
Speaker 1: and I encourage all of you to go and look

1191
01:02:21,600 --> 01:02:23,760
Speaker 1: through some of the old memes, like or even some

1192
01:02:23,800 --> 01:02:26,440
Speaker 1: of the trolls are broken English. They were terrible. They

1193
01:02:26,440 --> 01:02:29,520
Speaker 1: were really, I mean, they're not influential really in any way.

1194
01:02:29,560 --> 01:02:31,480
Speaker 1: And I also remember at the time the way that

1195
01:02:31,520 --> 01:02:33,920
Speaker 1: they would talk about this. They'd be like seven billion

1196
01:02:33,960 --> 01:02:36,600
Speaker 1: people scrolled past or Russian meme. You're like, oh my god.

1197
01:02:37,080 --> 01:02:39,280
Speaker 1: But it's like, okay, how much bullshit do you scroll past?

1198
01:02:39,520 --> 01:02:41,520
Speaker 1: Literally every single day? Yeah, how much of it has

1199
01:02:41,560 --> 01:02:44,880
Speaker 1: an actual impact not only on you on that day,

1200
01:02:45,080 --> 01:02:48,320
Speaker 1: on when you're going to vote In twenty and sixteen.

1201
01:02:48,560 --> 01:02:52,080
Speaker 1: It was a ludicrous story that was pushed at the beginning,

1202
01:02:52,160 --> 01:02:54,760
Speaker 1: of which a lot of people really believed. I've always thought,

1203
01:02:54,760 --> 01:02:58,840
Speaker 1: Crystal that the cope with the whole Russian troll influential

1204
01:02:58,880 --> 01:03:01,400
Speaker 1: thing is that a lot of liberals just cannot fathom

1205
01:03:01,440 --> 01:03:03,440
Speaker 1: that any person would vote for Trump, like in a

1206
01:03:03,480 --> 01:03:05,760
Speaker 1: normal way. They're like, no, it's not possibly. They had

1207
01:03:05,760 --> 01:03:07,400
Speaker 1: to be fooled, They had to be tricked. Remember, they

1208
01:03:07,440 --> 01:03:10,800
Speaker 1: also used it to discredit Bernie. Yes, they're saying like

1209
01:03:10,920 --> 01:03:14,480
Speaker 1: the supporters were all influenced by these like Russian Bernie

1210
01:03:14,480 --> 01:03:17,320
Speaker 1: Bro memes or whatever. So here's some of the findings

1211
01:03:17,320 --> 01:03:21,040
Speaker 1: of the report. One percent of Twitter users accounted for

1212
01:03:21,080 --> 01:03:23,880
Speaker 1: seventy percent of the exposure accounts that Twitter identified as

1213
01:03:23,960 --> 01:03:26,880
Speaker 1: Russian troll accounts. Highly partisan Republicans were exposed to nine

1214
01:03:26,880 --> 01:03:28,880
Speaker 1: times more posts than non Republicans. So again, these were

1215
01:03:28,920 --> 01:03:32,040
Speaker 1: people who were already Trump fans and going to vote

1216
01:03:32,040 --> 01:03:35,040
Speaker 1: for Donald Trump. Content from the news media and US

1217
01:03:35,120 --> 01:03:38,640
Speaker 1: politicians dwarfed the amount of Russian influence content that electorate

1218
01:03:38,720 --> 01:03:41,120
Speaker 1: was exposed to during the twenty sixteen race. There was

1219
01:03:41,200 --> 01:03:45,640
Speaker 1: no measurable impact on political attitudes, polarization, and vote preferences

1220
01:03:45,640 --> 01:03:50,360
Speaker 1: and behavior from the Russian accounts and posts. Again, anyone

1221
01:03:50,400 --> 01:03:54,200
Speaker 1: who was really thinking this through at the time could realize,

1222
01:03:54,440 --> 01:03:58,920
Speaker 1: you have these campaigns that are spending billions of dollars.

1223
01:03:59,040 --> 01:04:01,640
Speaker 1: Oh yeah, it's super pac money. In there. It's like

1224
01:04:01,640 --> 01:04:04,880
Speaker 1: tens of bills to try to influence and persuade people.

1225
01:04:05,240 --> 01:04:10,400
Speaker 1: You really think some like like half asked bad Russian

1226
01:04:10,480 --> 01:04:13,680
Speaker 1: memes that was the thing, Like they're just so and

1227
01:04:13,720 --> 01:04:15,520
Speaker 1: this got you know, this played into the hole like

1228
01:04:15,560 --> 01:04:18,280
Speaker 1: putin the puppet gesture and the mastermind and it's just

1229
01:04:18,280 --> 01:04:21,880
Speaker 1: so really like manipulating us like puppets or whatever. And

1230
01:04:22,040 --> 01:04:24,400
Speaker 1: it turns out none of this mattered at all, and

1231
01:04:24,440 --> 01:04:29,200
Speaker 1: it's just too perfect that it comes so many years

1232
01:04:29,280 --> 01:04:33,000
Speaker 1: later and they finally are like, by the way, that

1233
01:04:33,080 --> 01:04:35,360
Speaker 1: whole thing we sold you for years and years and

1234
01:04:35,440 --> 01:04:37,720
Speaker 1: years and told you that was like explained all of

1235
01:04:37,760 --> 01:04:41,000
Speaker 1: our politics. Turns out that was totally fake. I had

1236
01:04:41,000 --> 01:04:43,800
Speaker 1: a Russian professor in graduate school, I think kind of

1237
01:04:43,840 --> 01:04:45,880
Speaker 1: the beginning, like when some of this was going down,

1238
01:04:46,040 --> 01:04:47,640
Speaker 1: and I won't say too much about him because he

1239
01:04:47,640 --> 01:04:50,320
Speaker 1: was an interesting guy, but something that he said was

1240
01:04:50,360 --> 01:04:52,880
Speaker 1: he said, you do not imagine how much power that

1241
01:04:52,960 --> 01:04:56,360
Speaker 1: you people have given putin by being able to portray

1242
01:04:56,440 --> 01:04:59,560
Speaker 1: himself to enemies of the West as the great puppet

1243
01:04:59,560 --> 01:05:02,880
Speaker 1: master to elect the president of the United States, when

1244
01:05:02,880 --> 01:05:05,800
Speaker 1: in reality he had nothing to do with it. They

1245
01:05:05,800 --> 01:05:08,160
Speaker 1: were like that is the greatest victory that you could

1246
01:05:08,200 --> 01:05:11,640
Speaker 1: ever give a former KGB operative. It is one of

1247
01:05:11,680 --> 01:05:14,680
Speaker 1: those things that bolsters actually his image as a strong

1248
01:05:14,720 --> 01:05:17,320
Speaker 1: man and a tough guy in Russia and gives him

1249
01:05:17,800 --> 01:05:20,600
Speaker 1: way too much credit than he actually deserves. Well, and

1250
01:05:20,640 --> 01:05:24,240
Speaker 1: that's the irony is it wasn't the post themselves that

1251
01:05:24,320 --> 01:05:30,080
Speaker 1: influenced our politics. It was the hysterical Russian derangement that

1252
01:05:30,120 --> 01:05:33,680
Speaker 1: then infected all of our politics. That now that has

1253
01:05:33,720 --> 01:05:36,960
Speaker 1: definitely manipulated public opinion and changed the way people view

1254
01:05:37,080 --> 01:05:39,920
Speaker 1: world affairs. That I mean, just look through you know

1255
01:05:39,960 --> 01:05:42,160
Speaker 1: the hunter Biden who it has all the hallmarks of

1256
01:05:42,240 --> 01:05:47,520
Speaker 1: Russian disinformation that reverberated throughout our politics and elite figures

1257
01:05:47,600 --> 01:05:51,240
Speaker 1: and media and has had a massive impact. But the

1258
01:05:51,400 --> 01:05:55,680
Speaker 1: actual posts and means themselves nothing, No, not so amazing,

1259
01:05:55,760 --> 01:06:00,280
Speaker 1: Well said Crystal, what are you taking a look at? Well?

1260
01:06:01,000 --> 01:06:04,400
Speaker 1: Learn to code. For years this was the condescending mantra

1261
01:06:04,520 --> 01:06:07,520
Speaker 1: chanted at downwardly mobile workers suffering from the devastation of

1262
01:06:07,600 --> 01:06:10,960
Speaker 1: bad trade deals and disastrous dealings with China. The idea

1263
01:06:11,200 --> 01:06:13,080
Speaker 1: was that while the old middle class jobs might have

1264
01:06:13,120 --> 01:06:15,800
Speaker 1: been destroyed, there was a new, glistening industry with plentiful,

1265
01:06:15,920 --> 01:06:18,160
Speaker 1: high baying jobs if you were just willing to obtain

1266
01:06:18,320 --> 01:06:21,400
Speaker 1: the necessary skills i e. Coding. Now, the claim was

1267
01:06:21,400 --> 01:06:24,040
Speaker 1: always questionable, both from a number's perspective there were never

1268
01:06:24,200 --> 01:06:27,120
Speaker 1: enough tech jobs to ultimately fill the gap, and also

1269
01:06:27,120 --> 01:06:29,680
Speaker 1: from a practical standpoint. Not everyone wants to be a

1270
01:06:29,680 --> 01:06:32,880
Speaker 1: programmer and letting people find deep fulfillment in working with

1271
01:06:32,920 --> 01:06:35,720
Speaker 1: their hands or working with people. But the tech path

1272
01:06:35,760 --> 01:06:40,200
Speaker 1: to prosperity did seem to exist at least Now tech

1273
01:06:40,280 --> 01:06:42,240
Speaker 1: is looking a little less like a promised land and

1274
01:06:42,240 --> 01:06:45,280
Speaker 1: a little more like a wasteland. Overall, job creation in

1275
01:06:45,280 --> 01:06:47,360
Speaker 1: the economies actually remained strong, with two hundred and twenty

1276
01:06:47,360 --> 01:06:49,880
Speaker 1: three thousand jobs added in December. That was led by

1277
01:06:49,880 --> 01:06:53,040
Speaker 1: growth in healthcare and in hospitality. But while jobs in

1278
01:06:53,120 --> 01:06:56,200
Speaker 1: those sectors were on the rise, the tech industry has

1279
01:06:56,200 --> 01:06:59,480
Speaker 1: been in the middle of a complete bloodbath. An independent

1280
01:06:59,480 --> 01:07:03,360
Speaker 1: website called Layoffs Fyi tracks these tech layoffs, and the

1281
01:07:03,440 --> 01:07:07,000
Speaker 1: numbers are really pretty stunning. Meta is cutting eleven thousand jobs,

1282
01:07:07,040 --> 01:07:10,400
Speaker 1: Amazon is slashing eighteen thousand jobs, Salesforce is cutting eight

1283
01:07:10,480 --> 01:07:13,560
Speaker 1: thousand jobs, Cisco is cutting forty one hundred, Twitter is

1284
01:07:13,600 --> 01:07:17,320
Speaker 1: slashing thirty seven hundred. All told, more than one thousand

1285
01:07:17,360 --> 01:07:20,040
Speaker 1: tech companies have laid off more than two hundred and

1286
01:07:20,080 --> 01:07:23,720
Speaker 1: sixty eight thousand workers. Stunning come down for a sector

1287
01:07:23,760 --> 01:07:27,320
Speaker 1: that was flying high, amassing unbelievable fortunes for billionaire founders

1288
01:07:27,720 --> 01:07:29,800
Speaker 1: just a couple of years ago. And of course it's

1289
01:07:29,800 --> 01:07:32,280
Speaker 1: not just in layoffs where the sector has taken a hit.

1290
01:07:32,600 --> 01:07:35,640
Speaker 1: Companies from Netflix to Uber to all the crypto players,

1291
01:07:35,800 --> 01:07:38,960
Speaker 1: they have all seen their market caps collapse in recent months.

1292
01:07:39,320 --> 01:07:41,160
Speaker 1: Check out this chart with the stock returns from a

1293
01:07:41,200 --> 01:07:44,120
Speaker 1: bunch of big tech players. You got Apple, Alphabet, Amazon

1294
01:07:44,160 --> 01:07:47,320
Speaker 1: all here. The green positive bars those are their stock

1295
01:07:47,360 --> 01:07:50,560
Speaker 1: returns in twenty twenty one. The red that you see

1296
01:07:50,560 --> 01:07:54,280
Speaker 1: there is how they fared in twenty twenty two. Everyone

1297
01:07:54,560 --> 01:07:57,840
Speaker 1: was down about twenty percent or even more. Come down

1298
01:07:57,920 --> 01:07:59,960
Speaker 1: is being felt already in the San Francisco and Silicon

1299
01:08:00,040 --> 01:08:03,040
Speaker 1: Valley housing markets. I won't say that they've returned to earth,

1300
01:08:03,200 --> 01:08:06,240
Speaker 1: but San Francisco posted some of the biggest drops in

1301
01:08:06,280 --> 01:08:08,560
Speaker 1: the country last year in terms of housing prices, and

1302
01:08:08,600 --> 01:08:11,360
Speaker 1: they are projected to see the largest housing price declines

1303
01:08:11,640 --> 01:08:14,400
Speaker 1: in twenty twenty three in the entire country. That is

1304
01:08:14,440 --> 01:08:16,960
Speaker 1: a big change from the breakneck pace of housing price

1305
01:08:16,960 --> 01:08:19,439
Speaker 1: inflation that has been the norm there for years and

1306
01:08:19,560 --> 01:08:23,160
Speaker 1: years and years, a clear indicator of the changing fortunes

1307
01:08:23,200 --> 01:08:25,760
Speaker 1: that we are witnessing in the tech sector now. There

1308
01:08:25,760 --> 01:08:27,680
Speaker 1: are two things going on here. I think one is

1309
01:08:27,720 --> 01:08:30,240
Speaker 1: cyclical and one might be with us for the long term.

1310
01:08:30,479 --> 01:08:32,680
Speaker 1: The first is that a lot of companies boom during

1311
01:08:32,720 --> 01:08:35,160
Speaker 1: the pandemic as people stayed home, worked on Zoom Order,

1312
01:08:35,280 --> 01:08:39,200
Speaker 1: Uber Eats, Wash, Netflix, and shopped on Amazon CEOs like salesforces.

1313
01:08:39,240 --> 01:08:41,920
Speaker 1: Mark Benioff and Mette Zuckerberg have admitted that they over

1314
01:08:42,040 --> 01:08:44,280
Speaker 1: hired during that time and are now dealing with the

1315
01:08:44,400 --> 01:08:48,000
Speaker 1: post pandemic reality. I'm sure their heartfelt apologies are cold

1316
01:08:48,040 --> 01:08:51,200
Speaker 1: comfort to the workers who were hired and then summarily terminated.

1317
01:08:51,560 --> 01:08:53,760
Speaker 1: But the other factor here is the Fed's actions to

1318
01:08:53,800 --> 01:08:56,720
Speaker 1: lift interest rates. The fed's policy of zero interest rates

1319
01:08:56,800 --> 01:08:59,240
Speaker 1: during the twenty tens created a lot of fakeness in

1320
01:08:59,280 --> 01:09:03,320
Speaker 1: the economy. Tech valuations that were wildly inflated cheap cash

1321
01:09:03,360 --> 01:09:06,559
Speaker 1: that could be used to finance unprofitable companies. This easy

1322
01:09:06,600 --> 01:09:10,000
Speaker 1: money financed a lot of tech industry bloat and an

1323
01:09:10,040 --> 01:09:13,559
Speaker 1: irrational expectation that everything in the stock market would always

1324
01:09:13,640 --> 01:09:15,800
Speaker 1: just go up. The feed is now trying to let

1325
01:09:15,880 --> 01:09:18,400
Speaker 1: the air out of the bubble that they themselves created.

1326
01:09:18,479 --> 01:09:20,519
Speaker 1: Of course, their one tool of hiking interest rates is

1327
01:09:20,520 --> 01:09:23,120
Speaker 1: bound to create massive pain for ordinary people who do

1328
01:09:23,160 --> 01:09:25,960
Speaker 1: not deserve to be collateral damage from a recession caused

1329
01:09:25,960 --> 01:09:28,960
Speaker 1: by the cleanup of elite failures. Now, what does all

1330
01:09:29,000 --> 01:09:31,080
Speaker 1: of this mean for the country and for our workforce?

1331
01:09:31,360 --> 01:09:34,559
Speaker 1: While one welcome development is it has already taken a

1332
01:09:34,680 --> 01:09:37,520
Speaker 1: massive bite out of the fortunes of many tech billionaires.

1333
01:09:37,840 --> 01:09:40,800
Speaker 1: Elon Musk's net worth took a historic hit last year,

1334
01:09:40,960 --> 01:09:44,719
Speaker 1: but Bezo Suckerberg and other tech billionaire suffered inconceivably large

1335
01:09:44,760 --> 01:09:47,960
Speaker 1: losses as well. Don't worry, though, their net worths continues

1336
01:09:48,000 --> 01:09:51,000
Speaker 1: to be inconceivably large, so they will be just fine.

1337
01:09:51,160 --> 01:09:53,040
Speaker 1: Where the blow is going to be felt the hardest

1338
01:09:53,160 --> 01:09:55,439
Speaker 1: is in the upper middle class, which has really been

1339
01:09:55,479 --> 01:09:58,280
Speaker 1: built and seeing its fortunes separate from the lower middle

1340
01:09:58,320 --> 01:10:01,360
Speaker 1: class on the backs of tech job growth. And it

1341
01:10:01,439 --> 01:10:04,639
Speaker 1: is this segment of society that much of our entire

1342
01:10:04,720 --> 01:10:10,120
Speaker 1: economy has been built around. Pleasing hospitality, service and retail sectors.

1343
01:10:10,160 --> 01:10:12,479
Speaker 1: They have all been designed to cater to the taste

1344
01:10:12,479 --> 01:10:15,280
Speaker 1: and interest of this affluent but not quite rich group

1345
01:10:15,640 --> 01:10:18,759
Speaker 1: that a blow to their fortunes could have big cultural

1346
01:10:18,840 --> 01:10:22,519
Speaker 1: and economic implications, could be a huge psychological impact here

1347
01:10:22,520 --> 01:10:26,160
Speaker 1: as well. For a long time, a major dividing line

1348
01:10:26,160 --> 01:10:28,080
Speaker 1: in the workforce has been those who are cater to

1349
01:10:28,360 --> 01:10:30,679
Speaker 1: treated as human beings and those who are just treated

1350
01:10:30,720 --> 01:10:34,200
Speaker 1: as basically interchangeable meat sacks by corporate bosses. Well, now

1351
01:10:34,200 --> 01:10:37,080
Speaker 1: the tables are kind of turned retail and service sector workers,

1352
01:10:37,120 --> 01:10:40,600
Speaker 1: they're in huge demand. Tech workers, meanwhile, are facing unemployment,

1353
01:10:40,840 --> 01:10:42,960
Speaker 1: and Mark Benningoff might be very deeply sorry that he

1354
01:10:43,000 --> 01:10:46,040
Speaker 1: has to lay you off. But ultimately, when market conditions changed,

1355
01:10:46,360 --> 01:10:49,120
Speaker 1: tech industry workers were just as likely to be treated

1356
01:10:49,120 --> 01:10:51,719
Speaker 1: as interchangeable meat sacks as their blue collar and service

1357
01:10:51,760 --> 01:10:54,840
Speaker 1: sector brothers and sisters. Not a single wage earner is

1358
01:10:54,920 --> 01:10:57,240
Speaker 1: protected from the whims of the market in their bosses.

1359
01:10:57,320 --> 01:11:00,160
Speaker 1: So suddenly worker rights and protections that white collar werek

1360
01:11:00,320 --> 01:11:02,639
Speaker 1: kind of took for granted, those might seem a little

1361
01:11:02,680 --> 01:11:05,320
Speaker 1: bit more relevant than they did just a year earlier.

1362
01:11:05,560 --> 01:11:08,040
Speaker 1: And finally, while I expect tech to rebound and to

1363
01:11:08,120 --> 01:11:10,160
Speaker 1: of course continue to be a really important part of

1364
01:11:10,160 --> 01:11:13,360
Speaker 1: the US economy, for the foreseeable future. Those who offer

1365
01:11:13,439 --> 01:11:15,560
Speaker 1: the industry as a panacea for the woes of the

1366
01:11:15,600 --> 01:11:19,200
Speaker 1: American worker have now been thoroughly repudiated. Some jobs of

1367
01:11:19,200 --> 01:11:21,080
Speaker 1: the future will be in tech, but plenty more are

1368
01:11:21,080 --> 01:11:24,360
Speaker 1: going to be in healthcare, retail service, and hopefully a

1369
01:11:24,439 --> 01:11:27,400
Speaker 1: new reshoring movement and green energy movement that will bring

1370
01:11:27,479 --> 01:11:31,200
Speaker 1: back an American industrial base, making all of those jobs

1371
01:11:31,600 --> 01:11:35,720
Speaker 1: good jobs, with living wages, with healthcare, with worker protections.

1372
01:11:35,920 --> 01:11:38,479
Speaker 1: That is a much better answer for workers than learn

1373
01:11:38,560 --> 01:11:41,280
Speaker 1: to code. Ever, was and sagre this is one of

1374
01:11:41,320 --> 01:11:42,640
Speaker 1: the stories that I kind of have my eye on.

1375
01:11:42,800 --> 01:11:45,599
Speaker 1: And if you want to hear my reaction to Crystal's monologue,

1376
01:11:45,600 --> 01:11:52,120
Speaker 1: become a premium subscriber today at Breakingpoints dot com. All right, saga,

1377
01:11:52,160 --> 01:11:53,840
Speaker 1: were you looking at it? Well? About a year ago

1378
01:11:54,320 --> 01:11:57,679
Speaker 1: before times, before the Russian invasion of Ukraine, the biggest story,

1379
01:11:57,880 --> 01:11:59,960
Speaker 1: one of the biggest in the country was the Canadian

1380
01:12:00,240 --> 01:12:04,160
Speaker 1: Freedom protesters and the government's response. The response included the

1381
01:12:04,200 --> 01:12:07,559
Speaker 1: smearing them as racist, financial warfare, including the closure of

1382
01:12:07,600 --> 01:12:12,000
Speaker 1: their bank accounts, seizing cryptocurrency donations, the implementation of the

1383
01:12:12,040 --> 01:12:14,600
Speaker 1: most Chinese style social credit course system that we have

1384
01:12:14,720 --> 01:12:18,840
Speaker 1: seen in the West, especially since Australia's response to the coronavirus.

1385
01:12:19,120 --> 01:12:22,439
Speaker 1: This story mattered for many reasons. First and foremost is

1386
01:12:22,600 --> 01:12:25,559
Speaker 1: it's Canada. The whole thing is that they're nice, But

1387
01:12:25,640 --> 01:12:28,240
Speaker 1: the real point was it's real close to home. We

1388
01:12:28,320 --> 01:12:30,320
Speaker 1: have a lot in common, and if it can happen there,

1389
01:12:30,520 --> 01:12:32,920
Speaker 1: how soon can it happen here. That's why what's happening

1390
01:12:33,000 --> 01:12:35,479
Speaker 1: right now with author Jordan Peterson of The Daily Wire

1391
01:12:35,560 --> 01:12:38,360
Speaker 1: is actually crazy because it's happening in Canada in a

1392
01:12:38,400 --> 01:12:40,720
Speaker 1: system that could easily rear its ugly head here in

1393
01:12:40,760 --> 01:12:44,880
Speaker 1: the US very soon. The Ontario College of Psychologists, which

1394
01:12:44,880 --> 01:12:47,880
Speaker 1: is the regulatory body through which the profession of psychology

1395
01:12:47,960 --> 01:12:51,479
Speaker 1: is licensed, is currently mandating that Peterson subject himself to

1396
01:12:51,560 --> 01:12:55,160
Speaker 1: a literal re education course in social media communications. After

1397
01:12:55,200 --> 01:12:59,479
Speaker 1: a quote investigation into his behavior. Peterson, luckily, I guess

1398
01:12:59,560 --> 01:13:02,800
Speaker 1: for our say, actually uploaded the entire complaint against him,

1399
01:13:02,960 --> 01:13:06,479
Speaker 1: since deleting it. Though so called transgressions are reviewed, and

1400
01:13:06,600 --> 01:13:09,600
Speaker 1: if you review them, they're crazy. The first allegation is

1401
01:13:09,640 --> 01:13:12,960
Speaker 1: that Peterson made a joke about suicide directed at someone

1402
01:13:13,000 --> 01:13:15,120
Speaker 1: on Twitter. The exact incidents right in front of you

1403
01:13:15,200 --> 01:13:18,200
Speaker 1: was an anonymous tweeter raising a concern about overpopulation, to

1404
01:13:18,240 --> 01:13:21,719
Speaker 1: which he replied, quote, you're free to leave at any point. Frankly,

1405
01:13:21,760 --> 01:13:23,559
Speaker 1: not even that good of a joke. But I guess

1406
01:13:23,600 --> 01:13:26,519
Speaker 1: if you're real, is it really telling someone to kill themselves? Like?

1407
01:13:26,640 --> 01:13:29,440
Speaker 1: Come on? The second is even more absurd an allegation

1408
01:13:29,520 --> 01:13:33,040
Speaker 1: that Peterson undermined the ability for psychologists to encourage children

1409
01:13:33,160 --> 01:13:37,160
Speaker 1: be removed by their parents. However, specifically, he was criticizing

1410
01:13:37,320 --> 01:13:40,800
Speaker 1: the Canadian government's attempts to forcibly remove children from the

1411
01:13:40,800 --> 01:13:43,880
Speaker 1: Freedom protesters area. The exact tweet is in front of

1412
01:13:43,920 --> 01:13:46,880
Speaker 1: you right now. It's a statement of opinion against the

1413
01:13:46,920 --> 01:13:50,799
Speaker 1: exact policy in this instance or against the practice in general.

1414
01:13:51,000 --> 01:13:54,400
Speaker 1: Ask that question. It is obviously a disagreement in policy.

1415
01:13:54,600 --> 01:13:57,000
Speaker 1: In no way does it imply that it's sometimes not

1416
01:13:57,120 --> 01:14:00,880
Speaker 1: appropriate to remove children from the care of parents. Next up,

1417
01:14:00,880 --> 01:14:02,839
Speaker 1: and this is really not a joke, is that Peterson

1418
01:14:02,960 --> 01:14:06,560
Speaker 1: violated the standards of the profession because he called a

1419
01:14:06,640 --> 01:14:09,920
Speaker 1: key AID to Justin Trudeau a quote prick and continued

1420
01:14:09,920 --> 01:14:13,160
Speaker 1: his criticism of the AID as corrupt. He also called

1421
01:14:13,200 --> 01:14:16,439
Speaker 1: Trudeau a puppet. All of the tweets in question occurred

1422
01:14:16,560 --> 01:14:19,960
Speaker 1: during those Freedom protests. There are many other complaints in

1423
01:14:20,000 --> 01:14:23,880
Speaker 1: the included against Peterson saying that including him saying a

1424
01:14:23,880 --> 01:14:27,240
Speaker 1: plus size model was not beautiful. But the most egregious

1425
01:14:27,320 --> 01:14:30,760
Speaker 1: is this action against him for violating the so called

1426
01:14:30,840 --> 01:14:34,240
Speaker 1: COVID misinformation policy. It included a direct call for an

1427
01:14:34,320 --> 01:14:37,920
Speaker 1: end to COVID mandates on January twenty fourth, twenty twenty two,

1428
01:14:38,240 --> 01:14:41,040
Speaker 1: and an end to mass mandates and lockdowns in December

1429
01:14:41,040 --> 01:14:44,000
Speaker 1: of twenty twenty one. Keep this in mind, this is

1430
01:14:44,200 --> 01:14:48,240
Speaker 1: months after the vaccine was rolled out, well within the

1431
01:14:48,280 --> 01:14:51,160
Speaker 1: bounds of acceptable debate at the time. So there you

1432
01:14:51,200 --> 01:14:53,080
Speaker 1: have it. I left out some of the most cringe

1433
01:14:53,080 --> 01:14:55,920
Speaker 1: complaints about him for misgendering individuals, but of course that

1434
01:14:56,000 --> 01:14:58,720
Speaker 1: makes an appearance in there as well. Take this in totality,

1435
01:14:58,920 --> 01:15:01,720
Speaker 1: what do we have if Peterson having the temerity to

1436
01:15:01,760 --> 01:15:04,679
Speaker 1: express an opinion. Look, even if you don't like demand

1437
01:15:04,760 --> 01:15:07,320
Speaker 1: and think he is cringe, which I very often do,

1438
01:15:07,800 --> 01:15:10,760
Speaker 1: why should any of it matter? Why should the profession

1439
01:15:10,880 --> 01:15:15,240
Speaker 1: of psychology litigate literally any of this? Because consider the

1440
01:15:15,240 --> 01:15:18,320
Speaker 1: standards that they are setting. Having political opinions against the

1441
01:15:18,320 --> 01:15:22,080
Speaker 1: Canadian establishment and against the COVID regime is a violation

1442
01:15:22,240 --> 01:15:26,240
Speaker 1: of the field of psychology itself. Furthermore, the actual sentence

1443
01:15:26,320 --> 01:15:28,559
Speaker 1: is even crazier than it sounds. Not only does he

1444
01:15:28,600 --> 01:15:31,439
Speaker 1: have to subject himself to quote re education on social media,

1445
01:15:31,640 --> 01:15:34,120
Speaker 1: but there is no set number of hours at his

1446
01:15:34,240 --> 01:15:36,360
Speaker 1: own expense. You have to take as many hours as

1447
01:15:36,360 --> 01:15:39,280
Speaker 1: they see fit until he has been sufficiently re educated

1448
01:15:39,439 --> 01:15:42,639
Speaker 1: almost out of nineteen eighty four. It's an indeterminate sentence.

1449
01:15:42,920 --> 01:15:45,600
Speaker 1: Luckily Peterson, I guess, seems like he's doing fine. But

1450
01:15:46,040 --> 01:15:48,439
Speaker 1: what about people out there who are not rich? How

1451
01:15:48,520 --> 01:15:51,000
Speaker 1: is this not a very chilling warning to anyone in

1452
01:15:51,000 --> 01:15:54,080
Speaker 1: the profession in all of Canada keep your mouth shut

1453
01:15:54,120 --> 01:15:57,400
Speaker 1: about the regime or we will come after you. Furthermore,

1454
01:15:57,600 --> 01:16:01,000
Speaker 1: consider this, how is this not proceeding itself a blow

1455
01:16:01,080 --> 01:16:04,400
Speaker 1: to science itself? How exactly are people going to practice

1456
01:16:04,439 --> 01:16:07,240
Speaker 1: experiment determine what is the cutting edge and mental health

1457
01:16:07,360 --> 01:16:10,839
Speaker 1: if they are so cowd they cannot express a contradictory opinion.

1458
01:16:11,080 --> 01:16:13,720
Speaker 1: Ask yourself if any of the psychologists in Canada who

1459
01:16:13,760 --> 01:16:18,320
Speaker 1: pushed let's say SSRIs on patients despite faulty and objectionable science,

1460
01:16:18,479 --> 01:16:21,479
Speaker 1: will be subject to re education on that policy, or

1461
01:16:21,520 --> 01:16:24,840
Speaker 1: any psychologists who encourage cracking down on freedom protesters or

1462
01:16:24,880 --> 01:16:28,200
Speaker 1: praise Justin Trudeau. Think about the inverse. We now know

1463
01:16:28,280 --> 01:16:31,600
Speaker 1: that masks were highly ineffective against omicron and mostly completely

1464
01:16:31,800 --> 01:16:34,800
Speaker 1: against COVID unless it was properly fitted n. Ninety five.

1465
01:16:35,120 --> 01:16:38,920
Speaker 1: Those aren't Why aren't the psychologists who advocated for them

1466
01:16:38,920 --> 01:16:42,680
Speaker 1: in Canada guilty then of spreading medical and misinformation. I

1467
01:16:42,720 --> 01:16:45,200
Speaker 1: don't even want them to be re educated as satisfying.

1468
01:16:45,200 --> 01:16:47,200
Speaker 1: I guess as it would be, because the profession of

1469
01:16:47,240 --> 01:16:50,680
Speaker 1: psychology should be focused on psychology. If they happen to

1470
01:16:50,680 --> 01:16:53,280
Speaker 1: have opinions elsewhere, so be it. That's what it means

1471
01:16:53,320 --> 01:16:55,680
Speaker 1: to be a citizen in a supposedly free country. And

1472
01:16:55,720 --> 01:16:58,360
Speaker 1: don't think this can happen here. Already the American Academy

1473
01:16:58,360 --> 01:17:01,360
Speaker 1: of Pediatrics, the American medicalisation are singing the same tune

1474
01:17:01,360 --> 01:17:04,120
Speaker 1: on gender ideology. It probably won't be long till this

1475
01:17:04,200 --> 01:17:08,000
Speaker 1: exact same type of occupational censorship worms its way into America.

1476
01:17:08,240 --> 01:17:11,760
Speaker 1: From medicine, the bar association, and law many areas of

1477
01:17:11,800 --> 01:17:16,320
Speaker 1: American life. Ideological takeover of higher institution is rupturing trust

1478
01:17:16,479 --> 01:17:19,960
Speaker 1: and will have actually the opposite intended effect. Ask yourself,

1479
01:17:20,160 --> 01:17:22,960
Speaker 1: after two years, do you trust the science more or

1480
01:17:23,000 --> 01:17:25,320
Speaker 1: do you distrust it more than ever? I know which

1481
01:17:25,320 --> 01:17:28,120
Speaker 1: camp I fall in. I suspect there are millions more

1482
01:17:28,200 --> 01:17:30,880
Speaker 1: just like me, with every more action just like this.

1483
01:17:31,360 --> 01:17:33,240
Speaker 1: That's like I said, Chrystl. Do I have be on

1484
01:17:33,320 --> 01:17:35,680
Speaker 1: Peterson and if you want to hear my reaction to

1485
01:17:35,720 --> 01:17:39,519
Speaker 1: Sagre's monologue, become a premium subscriber today at Breakingpoints dot

1486
01:17:39,560 --> 01:17:45,559
Speaker 1: Com got a great guest standing by Joan Grillo. He's

1487
01:17:45,560 --> 01:17:48,599
Speaker 1: been living in Mexico and reporting on narco politics. He's

1488
01:17:48,640 --> 01:17:50,320
Speaker 1: got a great substack. Let's go and put it up

1489
01:17:50,360 --> 01:17:55,200
Speaker 1: there on the screen, discussing AMLO's government, recapturing El Chappo's son,

1490
01:17:55,520 --> 01:17:58,600
Speaker 1: slaying the demon of El Kolia Khan. So we have

1491
01:17:58,720 --> 01:18:00,559
Speaker 1: him to join us now to talk or not only

1492
01:18:00,600 --> 01:18:03,840
Speaker 1: about this the cartel violence, but also President Biden's visit

1493
01:18:03,880 --> 01:18:05,800
Speaker 1: to Mexico. Joan, thanks so much for coming back on

1494
01:18:05,840 --> 01:18:08,800
Speaker 1: the show. We appreciate it. Great to see you. Yeah,

1495
01:18:08,880 --> 01:18:11,200
Speaker 1: great to be here. Thanks. So, why don't you give

1496
01:18:11,280 --> 01:18:14,400
Speaker 1: us the context of the capture of l Chappo's son

1497
01:18:14,880 --> 01:18:18,479
Speaker 1: right ahead of Joe Biden's visit to Mexico, his first

1498
01:18:18,920 --> 01:18:21,720
Speaker 1: visit as president of the United States, and also what

1499
01:18:21,800 --> 01:18:24,760
Speaker 1: the AMLOG government is trying to accomplish with all of this.

1500
01:18:24,840 --> 01:18:27,439
Speaker 1: There's been a lot of careful stage managing happening behind

1501
01:18:27,479 --> 01:18:31,120
Speaker 1: the scenes. Yeah, well, the timing, it's always hard to

1502
01:18:31,160 --> 01:18:34,840
Speaker 1: believe this coincidence. There's a history in Mexico of every

1503
01:18:34,920 --> 01:18:38,400
Speaker 1: time you know, a Mexican president meets an American president,

1504
01:18:38,840 --> 01:18:41,680
Speaker 1: capture a big narco, make a big seizure, and when

1505
01:18:41,680 --> 01:18:45,040
Speaker 1: they're having these conversations, and Biden was particularly going down

1506
01:18:45,560 --> 01:18:48,000
Speaker 1: with a mandate of saying, I'm going to ask about fentanyl,

1507
01:18:48,080 --> 01:18:50,920
Speaker 1: because why is it that so much ventanyl is coming

1508
01:18:50,920 --> 01:18:54,439
Speaker 1: through Mexico right now? Then AML can answer release, well,

1509
01:18:54,520 --> 01:18:56,840
Speaker 1: we're fighting, you know, we're capturing these guys what we

1510
01:18:56,880 --> 01:19:00,800
Speaker 1: did last Thursday, and we're even taking casualties doing this now.

1511
01:19:00,920 --> 01:19:04,760
Speaker 1: The particular importance of Obiliogu's man is really he became

1512
01:19:04,800 --> 01:19:08,120
Speaker 1: a symbol after twenty nineteen when there was an attempt

1513
01:19:08,120 --> 01:19:11,400
Speaker 1: to arrest him by soldiers in an anti narcotics unit

1514
01:19:11,439 --> 01:19:14,240
Speaker 1: in twenty nineteen and they pinned him down in a

1515
01:19:14,320 --> 01:19:18,840
Speaker 1: luxury house in Kolia Khan and seven hundred gunmen came

1516
01:19:18,880 --> 01:19:21,479
Speaker 1: to his rescue. There was fighting on the streets of

1517
01:19:21,479 --> 01:19:24,599
Speaker 1: the city of Kuliaka and Sinala with seven hundred government

1518
01:19:24,640 --> 01:19:27,919
Speaker 1: against three hundred and fifty soldiers, and after four hours

1519
01:19:27,960 --> 01:19:30,920
Speaker 1: the government let him go, and so he became really

1520
01:19:30,920 --> 01:19:34,000
Speaker 1: a symbol of impunity and in symbol of the gangsters

1521
01:19:34,400 --> 01:19:37,519
Speaker 1: running things, and people would use this against the president

1522
01:19:37,560 --> 01:19:40,559
Speaker 1: of saying well, you're either weak or you're corrupt or both.

1523
01:19:41,320 --> 01:19:44,759
Speaker 1: Now what happened last Thursday was you had a much

1524
01:19:45,040 --> 01:19:49,840
Speaker 1: more sleek operation. They went and they got Obideogu's man

1525
01:19:49,960 --> 01:19:53,639
Speaker 1: in a small village, so it's not a tight urban area,

1526
01:19:54,200 --> 01:19:56,640
Speaker 1: and they went in early in the morning was the

1527
01:19:56,680 --> 01:19:58,479
Speaker 1: first of twenty nineteen, into the middle of the day.

1528
01:19:58,479 --> 01:20:00,479
Speaker 1: It was early in the morning when it was still dark.

1529
01:20:01,080 --> 01:20:03,639
Speaker 1: They got him. Instead of beers gun battle, they got him,

1530
01:20:03,920 --> 01:20:05,599
Speaker 1: They got him out and they flew him to Mexico

1531
01:20:05,680 --> 01:20:09,040
Speaker 1: City before the hit men took to the streets. Now

1532
01:20:09,040 --> 01:20:11,559
Speaker 1: there was still a lot of crazy fighting. The official

1533
01:20:11,680 --> 01:20:16,080
Speaker 1: numbers were twenty nine dead, including ten soldiers, so a

1534
01:20:16,080 --> 01:20:18,479
Speaker 1: lot of live cost of lives, and it could be

1535
01:20:18,479 --> 01:20:21,679
Speaker 1: a lot more because in many cases the gunmen will

1536
01:20:23,520 --> 01:20:27,160
Speaker 1: will take away the bodies of their people are taking themselves.

1537
01:20:27,240 --> 01:20:31,120
Speaker 1: They won't be going to in the official count talk

1538
01:20:31,160 --> 01:20:34,280
Speaker 1: to me about you know, Amlow. This was obviously embarrassing

1539
01:20:34,320 --> 01:20:36,200
Speaker 1: for him when he had to back down and they

1540
01:20:36,240 --> 01:20:40,160
Speaker 1: had to let a video go. But he is incredibly popular.

1541
01:20:40,200 --> 01:20:42,920
Speaker 1: I mean, by some metrics, he's the most popular world

1542
01:20:42,960 --> 01:20:46,200
Speaker 1: leader on the planet. What is it that people have

1543
01:20:46,360 --> 01:20:52,400
Speaker 1: really respected about him and appreciated about his leadership? Yeah,

1544
01:20:52,520 --> 01:20:57,720
Speaker 1: I would say Amlo plays a kind of populist game

1545
01:20:57,840 --> 01:21:01,519
Speaker 1: quite well, and a lot of you know, he uses

1546
01:21:02,120 --> 01:21:05,240
Speaker 1: in some ways the same way that like a leader

1547
01:21:05,360 --> 01:21:08,160
Speaker 1: like Trump did or some other populist, but he kind

1548
01:21:08,160 --> 01:21:12,040
Speaker 1: of has a broader support. I would say the Trump

1549
01:21:12,120 --> 01:21:14,800
Speaker 1: or the country is not quite as fiercely divided as

1550
01:21:14,840 --> 01:21:19,200
Speaker 1: in the case of Trump, and in some ways he's

1551
01:21:19,240 --> 01:21:24,120
Speaker 1: had a certain steady hand of leadership. Now, some of

1552
01:21:24,120 --> 01:21:25,840
Speaker 1: his critics will disagree with this, and you know, some

1553
01:21:25,880 --> 01:21:28,439
Speaker 1: of his critics do think he's the kind of is

1554
01:21:28,560 --> 01:21:30,360
Speaker 1: really doing a lot of these bad things. But if

1555
01:21:30,400 --> 01:21:34,800
Speaker 1: you look at Mexico the last four years and through

1556
01:21:34,840 --> 01:21:37,599
Speaker 1: the pandemic, it was a very very difficult time. There's

1557
01:21:37,600 --> 01:21:39,960
Speaker 1: been a certain steady hand of leadership, and it's still

1558
01:21:40,000 --> 01:21:44,799
Speaker 1: this kind of playing up of certain ideas of regaining

1559
01:21:44,800 --> 01:21:47,240
Speaker 1: the nationalism of Mexico, which appeals to a lot of people.

1560
01:21:47,840 --> 01:21:50,600
Speaker 1: So I wouldn't say I don't think the figure of

1561
01:21:50,600 --> 01:21:52,880
Speaker 1: the most popular in the world, but certainly maintained a

1562
01:21:53,000 --> 01:21:56,479
Speaker 1: level of popularity in a very difficult time. I was

1563
01:21:56,520 --> 01:21:59,040
Speaker 1: just in Mexico. There was some discussion about hugs not

1564
01:21:59,120 --> 01:22:01,840
Speaker 1: Bullets kind of being the original doctor, and you've actually

1565
01:22:01,880 --> 01:22:05,240
Speaker 1: written about that on your substack. What does this usher in,

1566
01:22:05,400 --> 01:22:07,640
Speaker 1: like a new era for how AMMO is going to

1567
01:22:07,680 --> 01:22:10,920
Speaker 1: treat the drug cartels, especially with so much pressure from

1568
01:22:11,160 --> 01:22:13,800
Speaker 1: the Biden administration? Is he abandoning that? Was it a front?

1569
01:22:14,000 --> 01:22:15,599
Speaker 1: Like what do you make of the way that he's

1570
01:22:15,600 --> 01:22:18,800
Speaker 1: handled the cartels the last couple of years. Yeah, so

1571
01:22:18,840 --> 01:22:21,880
Speaker 1: I think that the Hugs not Bullets has basically gone

1572
01:22:21,920 --> 01:22:25,800
Speaker 1: now in most ways. Really was it was a notion

1573
01:22:25,960 --> 01:22:28,400
Speaker 1: at the beginning, when he first was running for presidency

1574
01:22:28,920 --> 01:22:33,599
Speaker 1: in twenty eighteen. It was this idea of, Okay, we've

1575
01:22:33,600 --> 01:22:37,280
Speaker 1: been had this horrific war the last fifteen years, We're

1576
01:22:37,280 --> 01:22:39,760
Speaker 1: going to have to have a reconciliation. We're going to

1577
01:22:39,840 --> 01:22:43,040
Speaker 1: need to make up to violence is over now. In

1578
01:22:43,080 --> 01:22:45,920
Speaker 1: some ways, there's a certain point to that. I don't

1579
01:22:46,000 --> 01:22:48,920
Speaker 1: understand this. I mean, you've seen this horrible violence and

1580
01:22:49,000 --> 01:22:51,080
Speaker 1: trying to end this whole kind of war on drugs thing.

1581
01:22:51,560 --> 01:22:53,960
Speaker 1: The problem is is the reality of what do actually

1582
01:22:54,120 --> 01:22:57,880
Speaker 1: do And the reality is that the cartels they're not

1583
01:22:58,120 --> 01:23:00,880
Speaker 1: when they're trafficking drugs and making billions of dollars and

1584
01:23:00,880 --> 01:23:04,120
Speaker 1: that's funding them and financing But they're financing them then,

1585
01:23:04,400 --> 01:23:06,879
Speaker 1: but they're also in a whole bunch of different rackets.

1586
01:23:06,880 --> 01:23:10,320
Speaker 1: They're also involved in humans smuggling, with the migrants and

1587
01:23:10,360 --> 01:23:15,840
Speaker 1: the border, with theft of oil, with arms trafficking, with prostitution,

1588
01:23:16,560 --> 01:23:19,840
Speaker 1: with illegal mining, and with all of these things. And

1589
01:23:19,880 --> 01:23:22,000
Speaker 1: you can't really just kind of go back and give

1590
01:23:22,040 --> 01:23:24,679
Speaker 1: them space or just to allow these gags to operate.

1591
01:23:25,280 --> 01:23:27,759
Speaker 1: So I think he kind of already gradually moved away

1592
01:23:27,800 --> 01:23:30,240
Speaker 1: from the hugs not bullets kind of gradual thing, didn't

1593
01:23:30,280 --> 01:23:34,719
Speaker 1: really have many concrete policies for that. And the flip side,

1594
01:23:35,200 --> 01:23:39,400
Speaker 1: he's moved more and more towards supporting the military and

1595
01:23:39,479 --> 01:23:41,479
Speaker 1: building up He built up this new force called the

1596
01:23:41,560 --> 01:23:46,120
Speaker 1: National Guard, and then he handed that to the military effectively,

1597
01:23:46,640 --> 01:23:49,639
Speaker 1: and so you've got a more bolsted and powerful military

1598
01:23:49,640 --> 01:23:52,679
Speaker 1: in the country as well. Do these as a practical matter, though,

1599
01:23:53,080 --> 01:23:55,719
Speaker 1: do these tactics actually work? So if you take out

1600
01:23:55,760 --> 01:23:57,519
Speaker 1: a leader and lock them up, if you have a

1601
01:23:57,560 --> 01:24:01,599
Speaker 1: big seizure, and you know, our introduct a bunch of drugs,

1602
01:24:01,880 --> 01:24:06,040
Speaker 1: does it actually slow the flow of drugs across the border?

1603
01:24:06,200 --> 01:24:08,880
Speaker 1: Does it decrease the supply that's ultimately available here in

1604
01:24:08,880 --> 01:24:12,479
Speaker 1: the US? It was, yeah, I mean you've really kind

1605
01:24:12,520 --> 01:24:15,080
Speaker 1: of hit the point there, Crystal with the you know,

1606
01:24:15,320 --> 01:24:16,960
Speaker 1: it doesn't. And that's one of the one of the

1607
01:24:17,000 --> 01:24:19,200
Speaker 1: issues that they come around. I mean, especially with your

1608
01:24:19,280 --> 01:24:22,720
Speaker 1: Videoical's man he's one of four of these brothers in

1609
01:24:22,760 --> 01:24:25,560
Speaker 1: this one faction of the Cinela cartel, and this in

1610
01:24:25,680 --> 01:24:28,840
Speaker 1: Lacarte is one of many cartels. So still many people

1611
01:24:28,880 --> 01:24:32,080
Speaker 1: are moving drugs now with the issue of fentanyl, and

1612
01:24:32,120 --> 01:24:34,639
Speaker 1: I was over at the Port of Man Senior recently

1613
01:24:35,080 --> 01:24:37,320
Speaker 1: on the Pacific coast, where a lot of the fentanyl

1614
01:24:37,400 --> 01:24:40,280
Speaker 1: comes in from China or the ingredients coming from China,

1615
01:24:41,000 --> 01:24:43,680
Speaker 1: and yeah, I mean there's huge amounts coming through. And

1616
01:24:43,720 --> 01:24:48,599
Speaker 1: there's other big issues like corruption in the people running

1617
01:24:48,600 --> 01:24:52,040
Speaker 1: the ports, corruption in the officials of the military itself

1618
01:24:52,800 --> 01:24:55,760
Speaker 1: moving these drugs as well, so that you know, I

1619
01:24:55,840 --> 01:24:58,800
Speaker 1: don't think just this kind of taking down Kingpins does

1620
01:24:59,560 --> 01:25:04,160
Speaker 1: now I've been coming for twenty years, this war on drugs,

1621
01:25:04,280 --> 01:25:06,040
Speaker 1: and many things have often been a critic of the

1622
01:25:07,000 --> 01:25:10,560
Speaker 1: fundamentals of the war on drugs. However, with the severity

1623
01:25:10,600 --> 01:25:13,360
Speaker 1: of fentanyl, with the level of deaths you're seeing right

1624
01:25:13,439 --> 01:25:15,800
Speaker 1: now in the United States, and it really is I

1625
01:25:15,800 --> 01:25:18,759
Speaker 1: mean one hundred and seven thousand overdose deaths in twenty

1626
01:25:18,840 --> 01:25:21,639
Speaker 1: twenty one, I mean that really is a mind bopping

1627
01:25:21,720 --> 01:25:24,200
Speaker 1: number the way it's gone up. And I really don't

1628
01:25:24,280 --> 01:25:28,360
Speaker 1: know what you do really about fenteryl and crystal meth

1629
01:25:28,720 --> 01:25:32,040
Speaker 1: that are causing so much harm. Interesting and so then broadly,

1630
01:25:32,360 --> 01:25:35,040
Speaker 1: do you anticipate more cartel violence in the months to

1631
01:25:35,080 --> 01:25:38,320
Speaker 1: come after a relative lull, I guess in the last

1632
01:25:38,360 --> 01:25:40,920
Speaker 1: couple of years, Like, is this the opening shot as

1633
01:25:40,960 --> 01:25:47,000
Speaker 1: a result of US pressure? Well, I would say yes,

1634
01:25:47,120 --> 01:25:49,759
Speaker 1: a drug cartel violence will continue. I mean, I wouldn't

1635
01:25:49,800 --> 01:25:51,920
Speaker 1: say there's really been a relative love of the last

1636
01:25:51,920 --> 01:25:53,960
Speaker 1: couple of years. I mean it's been I mean, this

1637
01:25:54,160 --> 01:25:58,000
Speaker 1: last few we've seen a slight reduction of murders compared

1638
01:25:58,040 --> 01:25:59,519
Speaker 1: to the year before. But still if you look at

1639
01:25:59,560 --> 01:26:03,400
Speaker 1: the last few Mexico in every year is regtering official

1640
01:26:03,479 --> 01:26:07,240
Speaker 1: numbers of over thirty thousand murders. Wow, I mean very

1641
01:26:07,320 --> 01:26:12,080
Speaker 1: very levels of bden set. Yeah, an important point, and

1642
01:26:12,360 --> 01:26:15,080
Speaker 1: we really appreciate your reporting. You're literally on the ground,

1643
01:26:15,160 --> 01:26:17,240
Speaker 1: been covering this for a long time. We're gonna plug

1644
01:26:17,240 --> 01:26:20,040
Speaker 1: your substack. It's right in the description of this video

1645
01:26:20,120 --> 01:26:22,240
Speaker 1: encourage you guys to go ahead and subscribe. Some of

1646
01:26:22,240 --> 01:26:24,439
Speaker 1: the best reporting from actually on the ground and a

1647
01:26:24,520 --> 01:26:26,720
Speaker 1: very knowledgeable person. So we appreciate you joining us. Thank you, sir.

1648
01:26:26,760 --> 01:26:29,960
Speaker 1: Great to see Yeah, great to be here. Thanks much,

1649
01:26:31,040 --> 01:26:33,760
Speaker 1: our pleasure. Thank you guys so much for watching. Really

1650
01:26:33,800 --> 01:26:36,080
Speaker 1: appreciate it. Love being back here in the studio, Crystal,

1651
01:26:36,120 --> 01:26:39,599
Speaker 1: and it's pleasure to say Counterpoints is tomorrow. The graphic

1652
01:26:39,680 --> 01:26:42,640
Speaker 1: is fixed. Uh, We've got some fun announcements and all

1653
01:26:42,680 --> 01:26:44,960
Speaker 1: that coming up of course the live show as well,

1654
01:26:45,000 --> 01:26:48,040
Speaker 1: and we'll be teasing and introducing some new things for

1655
01:26:48,160 --> 01:26:50,839
Speaker 1: our premium subscribers that you guys can vote to improve

1656
01:26:50,920 --> 01:26:53,439
Speaker 1: on and build out from the set and et cetera.

1657
01:26:53,680 --> 01:26:55,920
Speaker 1: So I think you guys will really really enjoy that.

1658
01:26:55,960 --> 01:26:59,200
Speaker 1: But Counterpoints tomorrow, regular show Thursday. Other than that, I

1659
01:26:59,280 --> 01:27:01,559
Speaker 1: think that's it. We love you guys, yep love y'all,

1660
01:27:01,560 --> 01:27:02,080
Speaker 1: See you soon.