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

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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, Krystal. Indeed,

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Speaker 1: we do a lot of interesting stuffs to talk about

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Speaker 1: this morning, including we have a new Twitter files drop,

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Speaker 1: this one courtesy of Lefong of The Intercept, looking at

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Speaker 1: how left wing protesters were targeted by Big Pharma for censorship.

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Speaker 1: So that is an interesting one. We also have some

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Speaker 1: updates on exactly how the potential Republican primary field for

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Speaker 1: twenty twenty four is shaping up. Some very intriguing new

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Speaker 1: developments there. Updates out of Ukraine, digging into what exactly

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Speaker 1: we can expect as we head into the spring. This

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Speaker 1: is a fascinating story. So chat GPT is freaking out

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Speaker 1: a lot of university professors. They're sort of like upending

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Speaker 1: their syllabus syllabi sillaby, I believe, yes, figuring out how

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Speaker 1: to deal with this new technology. So we'll talk to

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Speaker 1: you about that. We've also got a little more airline

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Speaker 1: chaos and some insights into exactly what the hell happened

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Speaker 1: with that groundstop. Previously, great guests on to talk to

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Speaker 1: us about big food, something we have been digging into

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Speaker 1: this year. But before we get to any of that,

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Speaker 1: live show, Live show, put it up there on the screen,

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Speaker 1: Paramount Theater, February third, Austin, Texas. At this point, you

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Speaker 1: guys know the shpiel. The link for tickets is down

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Speaker 1: in the description of this video and or the podcast

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Speaker 1: if you are listening over there. We've got a great

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Speaker 1: show plan for all of you. Don't miss it. Only

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Speaker 1: a couple of tickets left. But with that, let's get

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Speaker 1: to the Twitter files. This is a very important story,

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Speaker 1: arguably one of the most important ones yet that has

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Speaker 1: come out from the Twitter file. Has been waiting a

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Speaker 1: lot about COVID vaccines. How exactly all of that came together?

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Speaker 1: Tweet Lefong of the intercept got full access. Just to

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Speaker 1: preclude this. He says that he had no guidance or

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Speaker 1: anything like that whatsoever. He had full scope in the

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Speaker 1: ability to search the Twitter files and the archives himself.

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Speaker 1: So let's put this up there on the screen. He's

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Speaker 1: just to be clear. He searched them. He put in

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Speaker 1: a request with the lawyer. The lawyer would provide the results.

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Speaker 1: And he also indicated he tried to do some additional

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Speaker 1: reporting to corroborate what he was given from a totally

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Speaker 1: lay anybody who's saying, oh, he was handed this, etc.

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Speaker 1: He says, Quote new Pace, a new piece from the

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Speaker 1: Twitter files, how the pharmaceutical industry lobbied social media to

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Speaker 1: shape content around vaccine policy. The push included direct pressure

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Speaker 1: from Pfizer partner Biotech to censor activists demanding low cost

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Speaker 1: generic vaccines for low income countries. In twenty twenty, it

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Speaker 1: was clear that the pandemic would require rapid innovation. Early on,

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Speaker 1: there was a push to make that solution equitable in

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Speaker 1: international partnership to share ideas, technology, and new forms of

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Speaker 1: medicine to solve the crisis. But global drug giants saw

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Speaker 1: the crisis as an opportunity for unprecedented profit behind closed doors,

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Speaker 1: Pharma launched a massive lobbying blitz to crush any effort

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Speaker 1: to share patents or ip for new COVID related medicine,

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Speaker 1: including therapeutics and vaccines. The lobbying group that represents biopharma,

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Speaker 1: including Moderna and Pfiser, wrote to the newly elected Biden

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Speaker 1: administration demanding any US government sanctioned country attempting to violate

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Speaker 1: patent rights and create generic, low cost COVID medicine or vaccines,

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Speaker 1: which brings us to Twitter. The global lobbying blitz included

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Speaker 1: direct pressure on social media. Biotech, which developed Pfizer's vaccine,

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Speaker 1: reached out to Twitter to request that Twitter directly censor

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Speaker 1: of users tweeting at them to ask for generic, low

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Speaker 1: costs vaccines. The reps responded quickly, and it was backed

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Speaker 1: up by the German government and a lobbyist in Europe

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Speaker 1: specifically asked the content moderation to censor the accounts of Pfiser,

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Speaker 1: Astrosenica and of activist hashtags. The potential fake accounts that

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Speaker 1: Twitter monitored for protesting Pfiser were actually real people. He

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Speaker 1: has one of those included of those he actually spoke to.

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Speaker 1: This gentleman. It's a seventy four year old retired bricklayer

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Speaker 1: in the United Kingdom. It's not yet clear what exactly

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Speaker 1: the actions that Twitter took on this particular quest. Several

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Speaker 1: employees actually said in subsequent messages that none of the

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Speaker 1: activism constituted abuse, but that the company continued to quote

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Speaker 1: monitor tweets. Additionally, Pfeiser and Maderna's lobbying group fully funded

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Speaker 1: a quote special content moderation campaign which was designed called

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Speaker 1: the Public Goods Project and worked with Twitter to set

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Speaker 1: content moderation specifically around quote COVID misinformation. They spent some

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Speaker 1: one point two million dollars on the campaign, according to

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Speaker 1: their own tax firm. The PGP campaign, which called Stronger,

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Speaker 1: helped Twitter create content moderation bots, select which public health

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Speaker 1: accounts got verification, helped crowdsource content takedowns, and many of

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Speaker 1: the tweets that they were focused on some were genuinely

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Speaker 1: like vaccine misinformation around micro trips, but others were in

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Speaker 1: a much grayer area, including vaccine passports, vaccine mandates, policies

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Speaker 1: that coerce vaccination, and Finally, the Maderna campaign included direct

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Speaker 1: regular emails actually with lists of tweets compiled by this

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Speaker 1: lobbying organization to takedown and others to verify an example

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Speaker 1: specifically of one of those emails included in the correspondence.

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Speaker 1: I mean, overall, Crystal, I don't know how you can't

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Speaker 1: say that this is one of the most evil things

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Speaker 1: yet that we have seen from big pharma. Like look,

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Speaker 1: even if you you know, dispute or whatever on the vaccine,

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Speaker 1: they clearly got together to try and make it so

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Speaker 1: that any discussion of low cost generic therapeutics ivermectin obviously

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Speaker 1: comes to mind efficacy regards wordless. At the time, it

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Speaker 1: was certainly up for debate, certainly along with generic low

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Speaker 1: cost vaccines that were trying to be utilized by third

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Speaker 1: world countries with generic pharmaceutical infrastructure like India, Pakistan and Bungladesh,

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Speaker 1: and specifically these companies to protect their own bottom line

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Speaker 1: profit with US government developed technology, worked with Twitter in

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Speaker 1: order to censor any discussion around That's something you cared

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Speaker 1: about quite a bit at the time. Yeah, I mean,

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Speaker 1: we covered this quite extensively, and part of what we

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Speaker 1: covered was the fact that the pharmaceutical companies were out

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Speaker 1: and out lying about what the impact of having you know,

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Speaker 1: no patents and the ability of other countries to be

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Speaker 1: able to manufacture these what that impact would be, and

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Speaker 1: their capability to be able to achieve that. I mean,

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Speaker 1: they were saying, oh, no, it's not possible, they don't

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Speaker 1: have the technology to do it. And meanwhile, there was

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Speaker 1: reporting in a number of outlets of like, no, no,

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Speaker 1: there's a factory sitting here ready that could spin up

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Speaker 1: millions of doses at low cost. They just need the recipe,

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Speaker 1: They just need the patents lifted in or to be

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Speaker 1: able to do that. Was any of that Big Pharma

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Speaker 1: misinformation flagged or taken down? No, it was not. And

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Speaker 1: that's part of what Lee lays out. If you put

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Speaker 1: up this next piece up on the screen and is

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Speaker 1: right up here for the intercept about how exactly this

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Speaker 1: all went down. This public goods project that was funded

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Speaker 1: by Big Pharma. Pharma said, oh, they just had a

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Speaker 1: broad mandate. Anything they saw that was misinformation they were

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Speaker 1: meant to flag. Well, I mean, first of all, it's

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Speaker 1: problematic that any of these groups has special access to

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Speaker 1: start with, So let's begin with that. But then when

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Speaker 1: you dig into what they were flagging, did they ever

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Speaker 1: in a single instance flag, the misinformation and the lies

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Speaker 1: that were coming from big pharma. Of course not, but

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Speaker 1: there was this effort to silence activists who were pushing

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Speaker 1: for low cost generic vaccines worldwide. And listen, you know,

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Speaker 1: all of these things exist on a spectrum. So I

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Speaker 1: don't think any of the should be censored. But there

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Speaker 1: are better and worse arguments that can be made for

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Speaker 1: you know, things that are just out and out false. Okay,

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Speaker 1: there's an argument to be Do I agree with that argument? No,

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Speaker 1: But there's an argument to be made things that are

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Speaker 1: in the gray areas Lee puts it about really policy debate.

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Speaker 1: I mean, I actually don't think that there is a

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Speaker 1: good argument that you can make about that. Something like

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Speaker 1: activists who are trying to hold powerful actors to account

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Speaker 1: and you're doing everything you can to silence them. That

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Speaker 1: is just I mean, there is no argument anyone could

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Speaker 1: make in good faith in that direction. Now, I do

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Speaker 1: want to say, Lee points out it's not clear what

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Speaker 1: actions Twitter did or did not take in response to

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Speaker 1: these requests, but he had a quote from a guy

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Speaker 1: named Nick Dearden from Global Justice Now about these efforts

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Speaker 1: to silence activists on lifting vaccine patents in particular, and

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Speaker 1: I thought he made a good point. He said, listen,

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Speaker 1: to try and stifle digital dissent during a pandemic, when

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Speaker 1: tweets and emails are some of the only forms of protest,

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Speaker 1: of vail to those locked in their homes is deeply sinister.

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Speaker 1: And I think that's a great point. These sorts of

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Speaker 1: efforts at any time are deeply sinister, but especially at

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Speaker 1: a time when you're limited in the forms of protest,

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Speaker 1: you're able to ultimately make that's all we had at

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Speaker 1: the time, I mean, and even today. You know the

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Speaker 1: idea that one of the reasons that Twitter even matters,

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Speaker 1: why do we cover it for you good people over there,

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Speaker 1: is because it has a massive impact on the debate,

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Speaker 1: on the way that public health authorities are thinking. It's

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Speaker 1: like a glee It's like a glass view into exactly

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Speaker 1: the hive mind of whatever the establishment is thinking. Being

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Speaker 1: able to penetrate that hive mind is deeply important. And

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Speaker 1: I will you know, we can't brush aside even the

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Speaker 1: policy debate because you have to consider this, which is

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Speaker 1: vaccine mandates have a direct, you know, bottom line benefit

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Speaker 1: to these vacs, to these vaccine manufacturers if they are

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Speaker 1: going to create COVID misinformation policy, against vaccine passports, against

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Speaker 1: vaccine mandates, and they're specifically advocating against policy which would

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Speaker 1: impact their bottom line. They look, all of this could

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Speaker 1: have been easily elaided. We could have probably had a

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Speaker 1: much better conversation if there was no profit even to

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Speaker 1: be had by the company, right, Okay, so that's number one.

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Speaker 1: So if profit is going to be introduced, then you

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Speaker 1: cannot be colluding with the Digital town Square in order

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Speaker 1: to make sure that you were taking off anything, even

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Speaker 1: policy that you claim was in the best interests of

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Speaker 1: your patients, your customers, really your customers, that's what all

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Speaker 1: of us are whenever you're interjecting yourself directly into a

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Speaker 1: policy debate. So I find this entirely despicable all the

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Speaker 1: way around. I really do believe this might be one

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Speaker 1: of the most important Twitter files aside from the very

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Speaker 1: first ones around FBI and government censorship. Why because it

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Speaker 1: just shows you directly, like a multi billion dollar industry

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Speaker 1: through the FEUs of government and lobbying campaigns, working with

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Speaker 1: these people to create the rules. The rules are everything.

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Speaker 1: That's the game in which all of us get to play,

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Speaker 1: and it's a game that we don't have even a

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Speaker 1: say of how it is, and I've never seen a

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Speaker 1: more perfect example of how systems can be rigged. And

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Speaker 1: you also have to take it. I think it even

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Speaker 1: stepped back further from there, which is what does a

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Speaker 1: true and honest, open COVID debate look like outside of

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Speaker 1: vaccine profits. We really have no idea, like how much

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Speaker 1: closer does paxlovid and therapeutics come to the fort Do

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Speaker 1: we even have discussions around vaccine mandates? I mean in

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Speaker 1: terms of the license for these doctors and others to

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Speaker 1: not feel silenced in putting out alternative therapies or really

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Speaker 1: just all kinds of experimentation, which frank again, is what

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Speaker 1: you want in the middle of a public health crisis.

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Speaker 1: I have no idea what that looks like, but I

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Speaker 1: think we can be fairly certain that this same regime

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Speaker 1: existed on Instagram. I know for sure anytime I used

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Speaker 1: to post anything about anything about COVID on instat even

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Speaker 1: to this day, actually still get flagged. My account also

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Speaker 1: hasn't gotten any followers al both of our accounts and

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Speaker 1: suspiciously kind of tracked, And I think there's no there.

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Speaker 1: We have to suspect that it had some sort of impact,

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Speaker 1: I think, on all the tech companies, and this is

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Speaker 1: just a clear view into what that looks like. Crystal.

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Speaker 1: I think this one is so important is because, I mean, look,

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Speaker 1: we're about to cover another story about the vaccines and

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Speaker 1: new data raising new questions. Mark like, science isn't just

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Speaker 1: a thing where it's like Okay, you get an answer

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Speaker 1: and that's it and it's over. End of story from

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Speaker 1: one study. I mean, this was an incredibly fluid changing

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Speaker 1: situation where you had new strains developing, you had a

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Speaker 1: variety of vaccines, you had different demographic cohorts, and what

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Speaker 1: might be right for one demographic may not be right

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Speaker 1: for another one. You layer on top of that a

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Speaker 1: very fraught policy debate, entirely legitimate whether whatever position you know,

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Speaker 1: you personally agreed with, I think the balancing of you know,

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Speaker 1: individual freedom and community responsibility. This was complex and entirely

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Speaker 1: legitimate source of debate. So for these gigantic companies to

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Speaker 1: the parameters of that debate, in being the arbiters of

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Speaker 1: what the medical facts were when things were very fluid

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Speaker 1: and very much still in debate over some of the

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Speaker 1: most contentious issues. You can see how this was one

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Speaker 1: of the most problematic roles that Twitter and other social

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Speaker 1: media companies ultimately filled. Yeah. Absolutely, that's actually a good segue.

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Speaker 1: Let's go to the second part here, and let's gohea

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Speaker 1: and put this up there on the screen. This has

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Speaker 1: been a big discussion in terms of COVID vaccination policy,

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Speaker 1: specifically with respect to the bivalent boosters and the current

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Speaker 1: recommendation of the CDC and the US government that you

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Speaker 1: go ahead and get a fourth or a fifth booster.

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Speaker 1: So currently there has been a quote flag signal. The

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Speaker 1: CDC and FDA have announced on Friday that the surveillance

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Speaker 1: system flagged a possible link between the new Phizer biotech

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Speaker 1: bivalent COVID nineteen vaccine and strokes in people that are

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Speaker 1: aged sixty five and over, specifically in the first twenty

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Speaker 1: one day period, raising a question in the surveillance mechanism

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Speaker 1: of whether that stroke risk was elevated as opposed to

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Speaker 1: day's twenty two to forty four post vaccination. According to

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Speaker 1: the CDC website, this is specifically from the CDC's own

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Speaker 1: data for everybody including YouTube who was listening out there.

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Speaker 1: CDC's vaccine safety data link met the criteria, warranting further

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Speaker 1: investigation into whether the bivalen peiser vaccine led to a

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Speaker 1: higher risk of a schemic stroke, which occurs when arteries

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Speaker 1: pumping blood to the brain are blocked by a blood clot.

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Speaker 1: Both Pfizer and Biotech said in a statement quote, there

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Speaker 1: is no evidence to conclude a schemic stroke is associated

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Speaker 1: with the use of the company's COVID nineteen vaccines. To

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Speaker 1: also be clear, immediately afterwards, the CDC put out a

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Speaker 1: statement let's go to the next one up here, please,

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Speaker 1: where they say that it is quote very unlikely that

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Speaker 1: the booster carries a stroke risk after launching a review. However,

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Speaker 1: that came just twenty four hours after all of this.

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Speaker 1: Why does any of this matter? This is a perfect

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Speaker 1: example of why lack of censorship around discussion around these

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Speaker 1: topics is very important, specifically with regards to the bivalent

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Speaker 1: booster vaccine. Like you can even put the original vaccine aside.

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Speaker 1: The case for the by valent booster was that it

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Speaker 1: would pacifically target omicron and provides you better protection. We

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Speaker 1: now know from a host of studies that have been

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Speaker 1: done independently, if you are questioning this. I've done a

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Speaker 1: monologue on it. Doctor Vine Pissad, who we've had on

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Speaker 1: the show, is written about this extensively. There is no

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Speaker 1: difference in the amount of coverage that the bivalent booster

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Speaker 1: provides people. Now, that doesn't mean necessarily that if you're old,

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Speaker 1: or if you're obese, or you have a pre existing

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Speaker 1: health condition and concentrational with your physician, that it may

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Speaker 1: not be a good idea to get it because COVID

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Speaker 1: could be particularly bad for you. But to then say,

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Speaker 1: as we have seen now multiple universities and colleges mandate

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Speaker 1: the young people receive in some cases a third or

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Speaker 1: a fourth shot just to be able to step foot

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Speaker 1: on campus is totally absurd whenever you consider even the

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Speaker 1: small risk signals that can be in there around mahrek carditis.

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Speaker 1: And I think discussion you were having right now, christ

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Speaker 1: or you and I are having right here with this

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Speaker 1: right now, we know that it's trepidacious even in the

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Speaker 1: current environment, and that's exactly what the problem is like.

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Speaker 1: As you said, look, you know these things change in

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Speaker 1: terms of the vaccine signal and its efficacy and all

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Speaker 1: of that. It was one thing when they released it,

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Speaker 1: and then the virus changed, and then well, it was

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Speaker 1: a whole other discussion around lack of prevention, what it

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Speaker 1: means can stop transmission. We have to have the ability

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Speaker 1: to have an open and honest conversation because I could

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Speaker 1: say with certainty that though the way that the vaccine

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Speaker 1: was sold is not how it ended up working out.

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Speaker 1: I don't know if it was malevalent, I don't know

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Speaker 1: if it was just lack of data. I'd like to

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Speaker 1: presume good faith in general. But the point is is

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Speaker 1: that even having that discussion, I remember very vividly at

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Speaker 1: the time, it was very difficult, you know, in order

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Speaker 1: to have with folks, especially after I got my quote

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Speaker 1: breakthrough case and I was like, well, you know, I

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Speaker 1: was like, I got some questions around what exactly is

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Speaker 1: going on here? And that's fine, that's normal. And also

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Speaker 1: reflected in the data, only four to five percent of

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Speaker 1: Americas have even received the bivalent booster after the US

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Speaker 1: government requested everybody get it. I mean, if ninety five

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Speaker 1: percent of people are telling you no to a quote

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Speaker 1: unquote government advice, that also shows a collapse of faith

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Speaker 1: in the overall architecture. I think people just have a

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Speaker 1: lot of questions about how much they're really gained from

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Speaker 1: this one, yes, like does this really is this really

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Speaker 1: worth it? And I think those questions are entirely legitimate.

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Speaker 1: A couple things to note about this early signal number one,

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Speaker 1: It is exactly that it's an early signal for further investigation.

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Speaker 1: It's not definitive or anything close to that. So I

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Speaker 1: think that's important to point out. They actually didn't see

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Speaker 1: this same warning signal in the Maderna vaccine. So if

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Speaker 1: you have concerns and you were thinking about getting the vaccine,

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Speaker 1: perhaps go with the Maderna one until they sort all

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Speaker 1: of this out. And then the other piece that I

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Speaker 1: think is important here that you're pointing to is the

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Speaker 1: problem with the public health officials the whole way was

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Speaker 1: that they really didn't trust the American people to actually

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Speaker 1: be presented with the data and the facts as it is,

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Speaker 1: whether it was with regards to face masks or heard

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Speaker 1: immunity or a number of other things, and be able

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Speaker 1: to cope with that in a reasonable way. And because

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Speaker 1: they sort of we'll say, massage the facts and at

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Speaker 1: times outright lied to the American people, then that did

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Speaker 1: degrade the trust the American people, and it became a

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Speaker 1: vicious cycle because then when the people didn't do what

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Speaker 1: the public health officials thought they should do because they

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Speaker 1: didn't trust the public health officials, then there was even

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Speaker 1: more of an effort to Okay, well we got to

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Speaker 1: clamp down even more and we can't trust this trust

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Speaker 1: these people even less, and it led to this sort

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Speaker 1: of vicious feedback loop. So what we know at this

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Speaker 1: point is number one, there's this early signal that they're

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Speaker 1: going to investigate. And number two, this was also you know,

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Speaker 1: something we covered here and doctor Pisad talked about and

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Speaker 1: you talked about as well, Soccer, is that these uh,

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Speaker 1: these particular boosters received very limited testing before they were

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Speaker 1: pushed down. Now that's not a different protocol than what

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Speaker 1: is normally used for boosters or other sort of like

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Speaker 1: related yeah, flu vaccines and other things like that. It

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Speaker 1: was the standard procedure. But I think it's worth as

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Speaker 1: we're having all of these things stress tests, to look

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Speaker 1: at the procedures and say was this appropriate here, is

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Speaker 1: it appropriate in other instances? Or is this creating unnecessary

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Speaker 1: risks that don't make sense. Am I the only guy

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Speaker 1: who's shocked that all they need is to show some

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Speaker 1: increase and eight mice in order to approve flu vaccine

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Speaker 1: for everybody. I mean, honestly, I was, look, maybe there

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Speaker 1: are much smarter doctors and immunologists than me that can

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Speaker 1: tell me about why exactly that's actually a totally fine procedure, etc.

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Speaker 1: But I mean, one thing that we all learned from

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Speaker 1: this our interview. Actually, I always recall with John Abramson

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Speaker 1: specifically talking about how peer reviewed studies are based on

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Speaker 1: data provided by pharmaceutical companies, and how they can even

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Speaker 1: hold back anything that they don't want necessarily to be

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Speaker 1: peer reviewed. And so that means that even the quote

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Speaker 1: peer reviewers in Science or Cell Journal or any of

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Speaker 1: these other precidious publications, they don't even have access to

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Speaker 1: the raw systems. I mean, the level of control that

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Speaker 1: I think that many of these companies had it was

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Speaker 1: one in which we all kind of presumed good faith

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Speaker 1: ish in general, people trust the doctors. The doctors like,

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Speaker 1: hey should get the flu vaccine. I'm like, okay, whatever,

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Speaker 1: you know, I don't think about it. They're like, but

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Speaker 1: then you know I'm reading this. I'm like, well hold on.

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Speaker 1: I was like, I'm like, what's going on here, it's like,

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Speaker 1: is this how they all work? I'm what is actual efficacy?

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Speaker 1: And I think the crowdsourcing of questioning all of this

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Speaker 1: has made a lot of these people really uncomfortable because

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Speaker 1: it's shaken that trust. And then on an individual level,

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Speaker 1: there are many doctors out there. I'm sure. I'm sure

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Speaker 1: it's a pain in the ass. You know, I know

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Speaker 1: many doctors watch our show. I'm sure it's a paint

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Speaker 1: whenever people come to people like me or like, oh

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Speaker 1: what do you mean by that? Well, how does this work?

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Speaker 1: Et cetera. But you know, overall, like this is it's

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Speaker 1: not necessarily your fault. It's the fault of you know,

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Speaker 1: the people at the very top. But it's still a

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Speaker 1: problem that we all have to deal with. So anyway,

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Speaker 1: I think it's a it's a very important discussion topic.

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Speaker 1: This is one that will continue to watch. We're can

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Speaker 1: try and have doctor Pisad back here on the show

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Speaker 1: just to explain everything that is going on with regards

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Speaker 1: to policy and and all of this and why it

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Speaker 1: even matters. And the point is, though, is that from

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Speaker 1: the first segment you have to be able to have

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Speaker 1: these discussions because otherwise, I mean the breakdown right now

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Speaker 1: is social trust is catastrophic. Another key doctor prosadpoint. Already

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Speaker 1: people are wholesale rejecting the MMR vaccine for their kids.

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Speaker 1: Eaesels is out of control through the roof right now

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Speaker 1: because they don't trust vaccines period as a result of

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Speaker 1: a lot of the COVID policy. You could say they're idiots,

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Speaker 1: but you know that's not going to change their mind.

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Speaker 1: So we got to come to something here or we're

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Speaker 1: going to have even more catastrophic public health problems as

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Speaker 1: we go forward. So at the same time, there's a

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Speaker 1: lot unfolding on the political front as the twenty twenty

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Speaker 1: four field is starting to shape up on the Republican side.

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Speaker 1: Interesting moment over on Fox News, of course, we've been

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Speaker 1: covering many others as well. Is Trump in a week

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Speaker 1: in state is vulnerable to a primary challenge from of

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Speaker 1: course Sarah Hugby Standers, wh's actually now governor of Arkansas

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Speaker 1: and was previously Press secretary for President Trump and you know,

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Speaker 1: very like well known face of the Trump administration. Let's

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Speaker 1: say she got asked whether she is supporting former President

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Speaker 1: Trump for twenty twenty four and she would not say,

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Speaker 1: take a listen. Your bio on your official pagees Governor

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Speaker 1: describes you as a quot trusted confidante of President Trump.

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Speaker 1: Have you talked to him about his twenty four run?

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Speaker 1: Will you endorse him in that? My focus right now

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Speaker 1: has been on twenty twenty two, winning the election in November,

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Speaker 1: preparing through transition, and getting ready to take offices I

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Speaker 1: did this past week. I love the President, have a

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Speaker 1: great relationship with him. I know heurt country would be

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Speaker 1: infinitely better off if he was in office right now

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Speaker 1: instead of Joe Biden. But right now, my focus isn't

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Speaker 1: twenty twenty four. It's focusing here in Arkansas and doing

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Speaker 1: what we can to empower the people. What kind of

431
00:22:32,600 --> 00:22:34,040
Speaker 1: timeline would you have for making a decision? Do you

432
00:22:34,040 --> 00:22:35,640
Speaker 1: want to see who else gets into the primary? Will

433
00:22:35,640 --> 00:22:39,240
Speaker 1: you wait for the nominee? Again, my focus isn't on

434
00:22:39,280 --> 00:22:41,199
Speaker 1: twenty twenty four. It's on what we can deliver in

435
00:22:41,240 --> 00:22:45,560
Speaker 1: this legislative session. So just total stonewall, won't say. Let

436
00:22:45,600 --> 00:22:47,679
Speaker 1: me tell you Christle, I worked with her for a

437
00:22:47,720 --> 00:22:51,840
Speaker 1: long time. That lady knows exactly what she's saying. She

438
00:22:52,240 --> 00:22:56,360
Speaker 1: parses everywhere, single word. You could say what you want

439
00:22:56,480 --> 00:22:58,000
Speaker 1: I actually think she was quite good at her job.

440
00:22:58,359 --> 00:23:00,639
Speaker 1: She was put in a pretty impossible situation. She was

441
00:23:00,680 --> 00:23:02,760
Speaker 1: one of the only Trump people to ever face the press,

442
00:23:02,800 --> 00:23:05,639
Speaker 1: if you'll remember, in those regular press briefings, and she

443
00:23:06,040 --> 00:23:10,000
Speaker 1: was Look, she chooses every word extraordinary carefully. The fact

444
00:23:10,000 --> 00:23:14,119
Speaker 1: that she didn't say yes, absolutely and affirmatively tells you

445
00:23:14,280 --> 00:23:17,159
Speaker 1: a hell of a lot about what's happening. Yeah, I

446
00:23:17,280 --> 00:23:22,439
Speaker 1: also wonder if Asa Hutchinson, who's a former governor of

447
00:23:22,520 --> 00:23:27,440
Speaker 1: Arkansas senator of Arkansas, he has basically said he wants

448
00:23:27,480 --> 00:23:30,960
Speaker 1: to run. And you know, I mean, Asa Hutchinson is

449
00:23:30,960 --> 00:23:33,520
Speaker 1: a minor figure in terms of the national political scene,

450
00:23:33,520 --> 00:23:36,560
Speaker 1: but Sarah Huckby Sanders is now governor of Arkansas, and

451
00:23:36,640 --> 00:23:40,200
Speaker 1: those local political connections matter a lot. So I wonder

452
00:23:40,240 --> 00:23:43,040
Speaker 1: if that isn't also a factor in her you know,

453
00:23:43,160 --> 00:23:46,200
Speaker 1: holding her fire and you know, being unwilling to come

454
00:23:46,200 --> 00:23:49,879
Speaker 1: out full throated for Trump. But whatever is going on

455
00:23:49,960 --> 00:23:52,119
Speaker 1: behind the scenes, that is not a good sign for Trump.

456
00:23:52,200 --> 00:23:54,480
Speaker 1: On the other hand, there are some interesting other things

457
00:23:54,520 --> 00:23:58,359
Speaker 1: happening in this race. Axios had a report about how

458
00:23:58,400 --> 00:24:01,000
Speaker 1: the field is kind of frozen at the moment as

459
00:24:01,040 --> 00:24:04,360
Speaker 1: people wait to see what happens with Ron DeSantis, who,

460
00:24:04,359 --> 00:24:07,800
Speaker 1: of course is the most credible challenger to Trump. At

461
00:24:07,800 --> 00:24:12,239
Speaker 1: this point, they say, questions about his political resilience and

462
00:24:12,320 --> 00:24:14,560
Speaker 1: fears of going toe to toe with former President Trump

463
00:24:14,760 --> 00:24:17,560
Speaker 1: have all but frozen the twenty twenty four Republican field,

464
00:24:17,600 --> 00:24:20,480
Speaker 1: delaying most of the leading prospects timelines for entering the race.

465
00:24:21,200 --> 00:24:24,520
Speaker 1: Despite dominating polling among Republicans looking for a Trump alternative,

466
00:24:24,800 --> 00:24:27,720
Speaker 1: DeSantis has not been tested in the cleague lights of

467
00:24:27,720 --> 00:24:30,800
Speaker 1: a presidential election. His Republican detractors see him as a

468
00:24:30,800 --> 00:24:34,520
Speaker 1: paper tiger who lacks the charisma necessary of a national campaign.

469
00:24:35,280 --> 00:24:39,919
Speaker 1: Scott Jennings, Republican strategist affiliated with Mitch McConnell, says everyone

470
00:24:39,960 --> 00:24:41,960
Speaker 1: not named Desantas is having a hard time figure out

471
00:24:42,000 --> 00:24:43,760
Speaker 1: their way around him, so they're waiting for him to

472
00:24:43,760 --> 00:24:46,480
Speaker 1: screw up or fade, but so far he's doing neither.

473
00:24:47,200 --> 00:24:50,000
Speaker 1: Another advisor said that no one wants to take flings

474
00:24:50,000 --> 00:24:51,720
Speaker 1: and arrows from Trump. Where they get in earlier or

475
00:24:51,760 --> 00:24:53,960
Speaker 1: late isn't going to matter if they have a built

476
00:24:54,000 --> 00:24:57,040
Speaker 1: in network of donors. DeSantis himself unlikely to make a

477
00:24:57,040 --> 00:25:00,800
Speaker 1: final decision about running until at least May, after Florida's

478
00:25:00,880 --> 00:25:03,679
Speaker 1: legislative session ends, so you can see the bind that

479
00:25:03,720 --> 00:25:06,479
Speaker 1: they're in because they don't want to be the one

480
00:25:06,520 --> 00:25:09,720
Speaker 1: to jump in and take all of Trump's fire early on.

481
00:25:10,320 --> 00:25:12,080
Speaker 1: And at the same time, you know they're kind of

482
00:25:12,080 --> 00:25:14,040
Speaker 1: waiting to see, Okay, what does the Santis do. Let's

483
00:25:14,080 --> 00:25:16,560
Speaker 1: let him get in, Let's let him take the fire

484
00:25:16,680 --> 00:25:18,720
Speaker 1: and see how he fares, and maybe we can sort

485
00:25:18,760 --> 00:25:21,439
Speaker 1: of sleep slip in while all of that commotion is

486
00:25:21,480 --> 00:25:24,879
Speaker 1: going on and avoid scrutinies. So I think the basic

487
00:25:24,960 --> 00:25:28,240
Speaker 1: dynamics here are people are still afraid of Trump, bottom line,

488
00:25:28,400 --> 00:25:31,720
Speaker 1: and they're afraid to come in and be one on

489
00:25:31,720 --> 00:25:33,719
Speaker 1: one against him and go toe to toe with him

490
00:25:33,800 --> 00:25:35,959
Speaker 1: right now and take whatever he has to throw at them.

491
00:25:36,000 --> 00:25:37,600
Speaker 1: And I think that's a telling sign as well. I

492
00:25:37,600 --> 00:25:39,720
Speaker 1: think it's a correct move too. I mean this is

493
00:25:39,840 --> 00:25:42,800
Speaker 1: also why Chrystal Ifie remember after the mar A Lago raid,

494
00:25:42,840 --> 00:25:44,480
Speaker 1: we were like, look, if you're Trump, you should have

495
00:25:44,480 --> 00:25:47,320
Speaker 1: announced for president, Like right now, here are the party

496
00:25:47,680 --> 00:25:50,440
Speaker 1: entirely united against him. The fact too, that you can

497
00:25:50,480 --> 00:25:53,080
Speaker 1: take such a massive beating in the midterms, which was

498
00:25:53,119 --> 00:25:56,760
Speaker 1: a direct repudiation of Trump, stopped the steal not necessarily

499
00:25:56,800 --> 00:25:59,360
Speaker 1: like trump Ism or whatever whatever that means. It's such

500
00:25:59,359 --> 00:26:01,240
Speaker 1: a thing. But look, I mean, clearly it was not

501
00:26:01,440 --> 00:26:04,480
Speaker 1: good for Trump. And you can still announce your candidacy

502
00:26:04,680 --> 00:26:08,639
Speaker 1: and now have not a single person jump in against you. Well,

503
00:26:08,800 --> 00:26:10,639
Speaker 1: that's a lot of power. And you know, I was

504
00:26:10,680 --> 00:26:13,000
Speaker 1: reading on my friend Gabby Orr, she now works over

505
00:26:13,040 --> 00:26:16,080
Speaker 1: at CNN. We forgive her and what she writes, she's

506
00:26:16,119 --> 00:26:18,639
Speaker 1: a very good reporter, and what she specifically focuses on

507
00:26:18,680 --> 00:26:21,000
Speaker 1: the GOP and the twenty twenty four and she was like, look,

508
00:26:21,040 --> 00:26:23,400
Speaker 1: at this point, if you look back at the twenty

509
00:26:23,560 --> 00:26:26,960
Speaker 1: sixteen cycle, you had multiple candidates who had jumped all

510
00:26:27,000 --> 00:26:30,080
Speaker 1: into the race on the GOP and the Democratic side too.

511
00:26:30,160 --> 00:26:33,200
Speaker 1: If you consider after twenty twenty, so what is happening?

512
00:26:33,200 --> 00:26:36,160
Speaker 1: We are seeing a total freeze out. And the longer

513
00:26:36,240 --> 00:26:39,480
Speaker 1: that it goes, I mean, it's not a joke to

514
00:26:39,560 --> 00:26:42,119
Speaker 1: just run for president. You need to raise millions of dollars,

515
00:26:42,320 --> 00:26:44,280
Speaker 1: you have to hire a bunch of people, you need

516
00:26:44,320 --> 00:26:46,639
Speaker 1: to get a ground game together. Then you need to

517
00:26:46,640 --> 00:26:49,160
Speaker 1: come up with a strategy from Iowa and New Hat

518
00:26:49,240 --> 00:26:52,040
Speaker 1: whatever the calendar exactly will be in twenty twenty four,

519
00:26:52,080 --> 00:26:55,640
Speaker 1: it actually does take about two years to actually do properly.

520
00:26:55,760 --> 00:26:59,159
Speaker 1: And here's the other thing. There's been no exploratory committees

521
00:26:59,359 --> 00:27:02,399
Speaker 1: that have been for Ron DeSantis or any of those people.

522
00:27:02,440 --> 00:27:05,320
Speaker 1: Sure they might have outside super packs and all of that,

523
00:27:05,440 --> 00:27:07,520
Speaker 1: but it's not even close to the level of what

524
00:27:07,560 --> 00:27:10,000
Speaker 1: it looks like when somebody's actually going to run, and

525
00:27:10,119 --> 00:27:13,200
Speaker 1: it's because they're afraid, you know, their infrastructure. Is one

526
00:27:13,240 --> 00:27:15,919
Speaker 1: of those where it's going to just be very difficult

527
00:27:16,240 --> 00:27:18,960
Speaker 1: to take on Trump, especially when you're the it's like

528
00:27:19,000 --> 00:27:21,119
Speaker 1: a first out the gate problem. The first person is

529
00:27:21,160 --> 00:27:23,560
Speaker 1: going to draw the most amount of iron and you

530
00:27:23,640 --> 00:27:27,119
Speaker 1: have not yet seen any enough upside potential to actually

531
00:27:27,200 --> 00:27:30,479
Speaker 1: challenge him. Yeah, we saw those comments right after the

532
00:27:30,520 --> 00:27:33,840
Speaker 1: midterms where DeSantis got asked about, you know, the record

533
00:27:33,840 --> 00:27:35,560
Speaker 1: and Trump and the midterms and whatever, and he had

534
00:27:35,560 --> 00:27:37,720
Speaker 1: that comment that was like, we'll look at the scoreboard.

535
00:27:38,160 --> 00:27:41,760
Speaker 1: That's it. That's all he said. And I think that's

536
00:27:41,800 --> 00:27:45,040
Speaker 1: also very telling because again, look, the problem for DeSantis

537
00:27:45,200 --> 00:27:47,200
Speaker 1: is you know, him on his own doing his thing

538
00:27:47,359 --> 00:27:50,200
Speaker 1: and writing the culture war outrage of the day that

539
00:27:50,240 --> 00:27:53,040
Speaker 1: has served him very very well. That is a very

540
00:27:53,160 --> 00:27:57,399
Speaker 1: very different thing than actually going up against Trump. And

541
00:27:57,440 --> 00:28:00,000
Speaker 1: being able to pull that off clearly his real life.

542
00:28:00,320 --> 00:28:03,400
Speaker 1: I mean, there's just no other way to judge what's

543
00:28:03,400 --> 00:28:07,320
Speaker 1: happening right now. And the other thing is, look, maybe

544
00:28:07,359 --> 00:28:09,880
Speaker 1: Trump is going to hit another really difficult maybe if

545
00:28:09,880 --> 00:28:12,720
Speaker 1: he gets indicted, maybe that's another low point for him.

546
00:28:12,960 --> 00:28:15,360
Speaker 1: But to be honest with you, I actually think that

547
00:28:15,400 --> 00:28:17,359
Speaker 1: ball would bounce in the other direction of kind of

548
00:28:17,359 --> 00:28:20,120
Speaker 1: strengthening his hand, because again you can say, like, they're

549
00:28:20,160 --> 00:28:22,280
Speaker 1: not coming after me and it's a witch hunt whatever.

550
00:28:22,680 --> 00:28:25,040
Speaker 1: And just like when the raid of mar A Lago happened,

551
00:28:25,359 --> 00:28:28,399
Speaker 1: many of the would be challengers will be forced to

552
00:28:28,480 --> 00:28:31,320
Speaker 1: kind of bend the knee. He was in this uniquely

553
00:28:31,440 --> 00:28:34,840
Speaker 1: vulnerable moment right after the midterms. I mean, it was

554
00:28:34,880 --> 00:28:38,880
Speaker 1: as clear a repudiation of him as it could possibly be.

555
00:28:39,680 --> 00:28:44,640
Speaker 1: It was as a sort of bolstering of DeSantis as

556
00:28:44,640 --> 00:28:47,600
Speaker 1: it could possibly be. And the fact that they didn't

557
00:28:47,640 --> 00:28:51,160
Speaker 1: take that moment of unique vulnerability for Trump and do

558
00:28:51,360 --> 00:28:55,400
Speaker 1: anything with it may end up being a real missed opportunity.

559
00:28:55,480 --> 00:28:59,480
Speaker 1: But again, listen, I'm just guessing. Who knows. Like I said,

560
00:28:59,600 --> 00:29:02,800
Speaker 1: maybe there is more to come out, Maybe there's more

561
00:29:02,920 --> 00:29:05,960
Speaker 1: that weakens him. You do see Sarah Huckabee, Sanders and

562
00:29:06,000 --> 00:29:08,959
Speaker 1: others reluctant to actually affirmatively get on board. That is

563
00:29:09,040 --> 00:29:11,520
Speaker 1: a sign of weakness. He didn't move any votes really

564
00:29:11,520 --> 00:29:14,120
Speaker 1: in the whole Kevin McCarthy speaker saga, that also is

565
00:29:14,160 --> 00:29:16,440
Speaker 1: a sign of weakness. But I don't know. I think

566
00:29:16,480 --> 00:29:19,680
Speaker 1: they kind of let the moment pass without wounding him

567
00:29:19,720 --> 00:29:22,400
Speaker 1: in a way that would make it possible to ultimately

568
00:29:22,480 --> 00:29:25,800
Speaker 1: take him out. At the same time, Trump is potentially

569
00:29:25,920 --> 00:29:28,920
Speaker 1: using some of his proxies to go after DeSantis in

570
00:29:28,960 --> 00:29:31,720
Speaker 1: a way that's kind of interesting. So Christy Noam, who

571
00:29:31,800 --> 00:29:34,880
Speaker 1: is governor of South Dakota and has other her own

572
00:29:34,920 --> 00:29:39,880
Speaker 1: potential presidential or vice presidential ambitions, has been taking some

573
00:29:40,040 --> 00:29:43,800
Speaker 1: interesting shots at DeSantis. Let's put this up on the screen.

574
00:29:43,920 --> 00:29:46,400
Speaker 1: So this was sort of interesting. So the headline here

575
00:29:46,440 --> 00:29:49,080
Speaker 1: at Daily Bees inside the one way feud between Ron

576
00:29:49,120 --> 00:29:53,280
Speaker 1: DeSantis and Christy Noam. Basically earlier this month, No One's

577
00:29:53,280 --> 00:29:56,760
Speaker 1: press secretary kind of out and nowhere took this shot

578
00:29:56,840 --> 00:30:01,240
Speaker 1: at DeSantis over his stance on abortion. So this was

579
00:30:01,280 --> 00:30:04,200
Speaker 1: for an article in a National Review ostensibly about quote

580
00:30:04,280 --> 00:30:08,520
Speaker 1: the transgender lobby's outsize influence in South Dakota. And within

581
00:30:08,640 --> 00:30:12,200
Speaker 1: this article that again was about something completely different. Her

582
00:30:12,200 --> 00:30:15,400
Speaker 1: press secretary said Governor noahm was the only governor in

583
00:30:15,440 --> 00:30:19,400
Speaker 1: America on national television defending the Dobbs decision. Where was

584
00:30:19,440 --> 00:30:23,240
Speaker 1: Governor DeSantis hiding behind a fifteen week ban? Does he

585
00:30:23,320 --> 00:30:27,040
Speaker 1: believe that fourteen week old babies don't have a right

586
00:30:27,120 --> 00:30:30,160
Speaker 1: to live? Corty is three GOP sources behind the scenes

587
00:30:30,240 --> 00:30:34,479
Speaker 1: knowledge Noam has Trump's blessing to take some shots across

588
00:30:34,520 --> 00:30:37,080
Speaker 1: the Desanta's bow, and Noam's efforts have not been going

589
00:30:37,160 --> 00:30:41,560
Speaker 1: unnoticed as Trump continues filling out his VP shortlist. So

590
00:30:41,960 --> 00:30:45,040
Speaker 1: their reading of this situation is basically, she wants to

591
00:30:45,040 --> 00:30:48,120
Speaker 1: be Trump's VP. She's sort of doing some of his

592
00:30:48,240 --> 00:30:51,240
Speaker 1: dirty work right now, taking shots at Desanti's over a

593
00:30:51,360 --> 00:30:54,440
Speaker 1: potential vulnerability with him with the Republican base, which is

594
00:30:54,480 --> 00:30:56,760
Speaker 1: he is not gone certainly as far as a Mike

595
00:30:56,840 --> 00:30:59,480
Speaker 1: Pence or Christy Noam in terms of wanting to ban

596
00:30:59,560 --> 00:31:04,000
Speaker 1: abortion altogether, smarter positioning in terms of general electorate could

597
00:31:04,160 --> 00:31:08,520
Speaker 1: be challenging for him with the Republican primary electorate ultimately,

598
00:31:08,640 --> 00:31:11,800
Speaker 1: so some interesting like proxy fighting going on there. Yeah,

599
00:31:11,800 --> 00:31:13,640
Speaker 1: I don't know how that one works. Out. I really don't.

600
00:31:13,680 --> 00:31:15,960
Speaker 1: I mean, with no, she is a narcissist. She's just

601
00:31:16,000 --> 00:31:18,360
Speaker 1: still very upset that she's been attacked by a lot

602
00:31:18,400 --> 00:31:20,440
Speaker 1: of the GOP base, and she always wanted to be

603
00:31:20,600 --> 00:31:23,360
Speaker 1: the DeSantis figure that DeSantis is right now. A lot

604
00:31:23,360 --> 00:31:25,360
Speaker 1: of that at frankly just political talent. But you know,

605
00:31:25,480 --> 00:31:28,080
Speaker 1: you also look at what she's doing and clearly the

606
00:31:28,120 --> 00:31:31,160
Speaker 1: proxy war itself, even that you know, it's all under

607
00:31:31,200 --> 00:31:33,960
Speaker 1: the radar, it's all just like veiled barbs. It's like

608
00:31:34,000 --> 00:31:35,680
Speaker 1: at a certain point you got to come out and

609
00:31:35,760 --> 00:31:37,440
Speaker 1: just do it, just say it. I think at the

610
00:31:37,560 --> 00:31:40,400
Speaker 1: same ultimately this is all just a sign of Trump's strength,

611
00:31:40,480 --> 00:31:44,400
Speaker 1: like he is the single north star, the overall orientation

612
00:31:44,800 --> 00:31:46,560
Speaker 1: he is winning. You know, by a mind we have

613
00:31:46,600 --> 00:31:48,320
Speaker 1: this poll, we can put it up there on the

614
00:31:48,360 --> 00:31:50,680
Speaker 1: screen from Morning Console for all the polls that show

615
00:31:50,920 --> 00:31:53,160
Speaker 1: DeSantis doing well. I mean, I wouldn't I wouldn't hate

616
00:31:53,160 --> 00:31:55,040
Speaker 1: to be DeSantis in this poll. But what does this

617
00:31:55,080 --> 00:31:57,280
Speaker 1: show you for those who are watching Donald Trump for

618
00:31:57,400 --> 00:32:01,080
Speaker 1: Morning Console latest want forty six percent of life Republican

619
00:32:01,160 --> 00:32:05,760
Speaker 1: primary voters, Ron DeSantis thirty three percent, Mike Pence at nine,

620
00:32:06,120 --> 00:32:09,160
Speaker 1: Liz Cheney at three, Nicky Haleott two, Ted Cruz at two,

621
00:32:09,400 --> 00:32:12,600
Speaker 1: and then various other candidates below that one. So who

622
00:32:12,640 --> 00:32:15,200
Speaker 1: would you rather be, honestly, I mean those top three

623
00:32:15,320 --> 00:32:17,960
Speaker 1: are all the three I would I mean Pence I

624
00:32:17,960 --> 00:32:20,040
Speaker 1: don't think has a chance in hell, but his nine

625
00:32:20,080 --> 00:32:22,760
Speaker 1: percent does just show you the strength still of the

626
00:32:22,800 --> 00:32:25,200
Speaker 1: evangelical base. If anything'd be good for Ron de Santas,

627
00:32:25,240 --> 00:32:27,920
Speaker 1: if he jumped in because he wouldn't have to, then

628
00:32:27,960 --> 00:32:31,600
Speaker 1: you know, go after the evangelical vote. However, with Trump himself,

629
00:32:31,640 --> 00:32:34,960
Speaker 1: I mean, his level of strength is just so. It's

630
00:32:35,000 --> 00:32:39,959
Speaker 1: so he's got such a sizeable portion with forty six percent. Now, look, clearly,

631
00:32:40,000 --> 00:32:41,680
Speaker 1: Mike Pence has a little bit of strength there with

632
00:32:41,720 --> 00:32:44,800
Speaker 1: the evangelicals. But Ron DeSantis the case is always very

633
00:32:44,800 --> 00:32:47,920
Speaker 1: difficult to make with Trump at forty six percent. Sure

634
00:32:47,920 --> 00:32:49,920
Speaker 1: we could see a scenario where Desanta is able to

635
00:32:49,960 --> 00:32:52,440
Speaker 1: cobble together and get over fifty, but he'd have to

636
00:32:52,480 --> 00:32:54,600
Speaker 1: be the only one that's in the race. Given how

637
00:32:54,720 --> 00:32:58,680
Speaker 1: much narsis these people are, there's no way that's gonna happen. Yeah,

638
00:32:59,120 --> 00:33:00,920
Speaker 1: you think they're just gonna all on their sword and

639
00:33:00,960 --> 00:33:03,400
Speaker 1: be like, yes, Ron, you're the chosen one. Look at

640
00:33:03,480 --> 00:33:05,800
Speaker 1: Kirsty No, She's like, no, it's my turn, Mike Pence, No,

641
00:33:05,920 --> 00:33:07,840
Speaker 1: it's my turn, Nick Liz Cheney. I get, you know,

642
00:33:07,880 --> 00:33:10,760
Speaker 1: good luck in that one. But the point is is

643
00:33:10,760 --> 00:33:12,960
Speaker 1: that the individual is almost like a prisoner's dilemma. It's

644
00:33:13,000 --> 00:33:16,040
Speaker 1: just always going to lead. I think to Trump's nomination

645
00:33:16,400 --> 00:33:18,560
Speaker 1: could be wrong, could be totally wrong, but he's a

646
00:33:18,600 --> 00:33:20,600
Speaker 1: lot of strength right now. Yeah. I think the fact

647
00:33:20,680 --> 00:33:23,680
Speaker 1: that they're all waiting and too afraid to dip their

648
00:33:23,720 --> 00:33:26,000
Speaker 1: toe in the water is very revealing. I'm actually talking

649
00:33:26,040 --> 00:33:28,680
Speaker 1: to my monologue today about some very clear signs. Glenn

650
00:33:28,680 --> 00:33:32,000
Speaker 1: Youngkin is planning to run and sort of like, you know,

651
00:33:32,120 --> 00:33:35,320
Speaker 1: he's he's not interested in Virginia politics, and Virginia governors

652
00:33:35,360 --> 00:33:38,240
Speaker 1: can't run for second terms anyway. Now, he could potentially

653
00:33:38,280 --> 00:33:39,960
Speaker 1: make a Senate bit or something like that, but he

654
00:33:40,000 --> 00:33:42,800
Speaker 1: clearly has his eyes on the national prize. So he's

655
00:33:42,840 --> 00:33:46,960
Speaker 1: another one who, you know, again, has sort of imagined

656
00:33:47,040 --> 00:33:49,800
Speaker 1: himself since he was able to win in Virginia, which

657
00:33:49,800 --> 00:33:52,360
Speaker 1: had become an increasingly blue state, that he might be

658
00:33:52,600 --> 00:33:55,120
Speaker 1: he might be the one. So these people are not

659
00:33:55,200 --> 00:33:57,160
Speaker 1: just going to ultimately go away. It is worth noting

660
00:33:57,160 --> 00:33:59,920
Speaker 1: in that morning Tracker console, Christy Nooam is at zero percent,

661
00:34:00,280 --> 00:34:04,160
Speaker 1: so exact play for VP might be the move for her.

662
00:34:05,080 --> 00:34:08,760
Speaker 1: This is interesting and this actually tracks with the Christy

663
00:34:08,840 --> 00:34:12,719
Speaker 1: Noam proxy war taking the shots at Disanta's over abortion.

664
00:34:14,160 --> 00:34:17,640
Speaker 1: Donald Trump went on with David Brodie and got asked

665
00:34:17,640 --> 00:34:23,040
Speaker 1: about evangelical voters and evangelical leaders, and he indicated that

666
00:34:23,120 --> 00:34:25,960
Speaker 1: he felt some of those leaders, after he put through

667
00:34:26,040 --> 00:34:28,919
Speaker 1: Supreme Court justices on the bench who ultimately were able

668
00:34:28,920 --> 00:34:31,440
Speaker 1: to overturn Roe versus Wade, that some of them are

669
00:34:31,440 --> 00:34:34,680
Speaker 1: showing a bit of disloyalty by not backing him immediately.

670
00:34:34,800 --> 00:34:37,240
Speaker 1: Let's take a listen to that. You were the ultimate fighter,

671
00:34:37,480 --> 00:34:40,080
Speaker 1: the ultimate counterpuncher, for sure, and that makes me think

672
00:34:40,120 --> 00:34:44,040
Speaker 1: of evangelicals why they loved you twice in those elections,

673
00:34:44,120 --> 00:34:47,399
Speaker 1: and you announced when you announce your candidacy. At least

674
00:34:47,440 --> 00:34:50,480
Speaker 1: as it stands now, some of these prominent evangelical leaders

675
00:34:50,480 --> 00:34:53,280
Speaker 1: who backed you last time, they're not yet willing to commit,

676
00:34:53,360 --> 00:34:56,360
Speaker 1: like Robert Jeffers is not some mothers. It seems like

677
00:34:56,480 --> 00:34:58,280
Speaker 1: many of them are waiting to see how the field

678
00:34:58,320 --> 00:35:03,279
Speaker 1: takes shape before back anyone. What is your message to them, Well,

679
00:35:03,320 --> 00:35:07,319
Speaker 1: I don't really care. Look, that's a side of disloyalty.

680
00:35:07,360 --> 00:35:09,960
Speaker 1: There's great disloyalty in the world of politics. And that's

681
00:35:09,960 --> 00:35:13,160
Speaker 1: the side of disloyalty because nobody, as you know, and

682
00:35:13,239 --> 00:35:15,200
Speaker 1: you would know better than anybody, because you do such

683
00:35:15,200 --> 00:35:18,040
Speaker 1: a great job. Nobody has ever done more for right

684
00:35:18,080 --> 00:35:21,640
Speaker 1: to life than Donald Trump. I put three Supreme Court

685
00:35:21,800 --> 00:35:24,919
Speaker 1: justices who all voted, and they got something that they've

686
00:35:24,920 --> 00:35:28,120
Speaker 1: been fighting for for sixty four years or many many years.

687
00:35:28,160 --> 00:35:30,839
Speaker 1: But nobody thought they could win it. You know, they

688
00:35:31,520 --> 00:35:35,319
Speaker 1: won Roe v. Wade. They won. They finally won, and

689
00:35:35,840 --> 00:35:39,120
Speaker 1: I was a little disappointed because I thought they could

690
00:35:39,120 --> 00:35:42,280
Speaker 1: have fought much harder during the election, during the twenty

691
00:35:42,280 --> 00:35:44,200
Speaker 1: two election, because you know, they won, and a lot

692
00:35:44,239 --> 00:35:48,319
Speaker 1: of them didn't fight or weren't really around to fight.

693
00:35:48,400 --> 00:35:52,200
Speaker 1: And it did energize the Democrats, but a lot of

694
00:35:52,200 --> 00:35:54,480
Speaker 1: the people that wanted and fought for years to get it,

695
00:35:55,160 --> 00:35:59,680
Speaker 1: they sort of they were there protesting and doing what

696
00:35:59,719 --> 00:36:02,560
Speaker 1: they could have done. But with all of that being said,

697
00:36:02,600 --> 00:36:05,040
Speaker 1: there's nobody that's said more for the movement than I have.

698
00:36:05,520 --> 00:36:09,560
Speaker 1: That's a very interesting answers loyalty that one's going to

699
00:36:09,640 --> 00:36:11,680
Speaker 1: hit home. I think with a lot of these, a

700
00:36:11,719 --> 00:36:14,040
Speaker 1: lot of these, especially after he came out and blamed

701
00:36:14,080 --> 00:36:16,680
Speaker 1: pro lifers for the midterm result. Don't forget that. We

702
00:36:16,760 --> 00:36:19,879
Speaker 1: covered that, I think a week or two ago. And look,

703
00:36:20,000 --> 00:36:23,600
Speaker 1: I mean Trump, He's in an interesting spot where at

704
00:36:23,600 --> 00:36:26,799
Speaker 1: the same time we shouldn't even evangelical leaders may not

705
00:36:26,920 --> 00:36:31,120
Speaker 1: endorse him. Evangelical voters have always loved Trump. In fact,

706
00:36:31,239 --> 00:36:35,239
Speaker 1: this is a huge thing on the evangelical like intelligencia right,

707
00:36:35,360 --> 00:36:38,920
Speaker 1: They're like evangelical voters have abandoned their principles for their

708
00:36:38,960 --> 00:36:41,640
Speaker 1: supportive trying in some cases. In twenty nineteen in Armored,

709
00:36:41,640 --> 00:36:44,400
Speaker 1: they were some of the most enthusiastic people. Yeah, back Trump,

710
00:36:44,560 --> 00:36:47,400
Speaker 1: will Trump's comments have a backtrack on them? I don't know,

711
00:36:47,480 --> 00:36:49,440
Speaker 1: you know, it really is one of those where without

712
00:36:49,480 --> 00:36:53,120
Speaker 1: the Row versus way remainding on the ballot effectively with

713
00:36:53,239 --> 00:36:55,680
Speaker 1: the Supreme Court, where they still come out and you know,

714
00:36:55,760 --> 00:36:58,920
Speaker 1: crawl across broken glass to vote for Trump, especially in

715
00:36:59,000 --> 00:37:00,960
Speaker 1: a primary. It's difficult to say, but he does have

716
00:37:01,000 --> 00:37:02,840
Speaker 1: a good case. He's like, I'm the one who delivered,

717
00:37:02,880 --> 00:37:04,399
Speaker 1: not Mike Pensis. I've got him on the bench. Any

718
00:37:04,440 --> 00:37:07,440
Speaker 1: of these people, I thought the way he framed these comments,

719
00:37:07,719 --> 00:37:11,080
Speaker 1: especially when you match him together with what Christin Noam's

720
00:37:11,160 --> 00:37:14,600
Speaker 1: press secretary said. Remember what she said was Governor Nohman

721
00:37:14,640 --> 00:37:18,080
Speaker 1: was the only governor America on national television defending the

722
00:37:18,160 --> 00:37:21,799
Speaker 1: Dobbs decision in kind of taking a shot at Ron DeSantis.

723
00:37:22,040 --> 00:37:23,719
Speaker 1: And you can hear an echo of that in what

724
00:37:23,760 --> 00:37:26,160
Speaker 1: Trump is saying here. He's like, I got it done,

725
00:37:26,480 --> 00:37:29,600
Speaker 1: and then you all didn't defend it, and so where

726
00:37:29,640 --> 00:37:32,920
Speaker 1: were you? The Democrats were way more aggressive, And so

727
00:37:33,200 --> 00:37:36,240
Speaker 1: this is his own spin on what happened in the election,

728
00:37:36,320 --> 00:37:38,759
Speaker 1: which of course, you know, denies any of his culpability

729
00:37:38,800 --> 00:37:41,600
Speaker 1: in this situation, but also frames him as both a

730
00:37:41,680 --> 00:37:44,320
Speaker 1: sort of like pro life warrior, but also blames people

731
00:37:44,600 --> 00:37:49,400
Speaker 1: like Ron DeSantis who for not ultimately defending the decision

732
00:37:49,600 --> 00:37:52,000
Speaker 1: once it came down. So I thought this was very

733
00:37:52,040 --> 00:37:54,719
Speaker 1: I would guess that we're going to hear more of

734
00:37:54,760 --> 00:37:58,520
Speaker 1: this line of attack from Trump of basically like, listen,

735
00:37:58,640 --> 00:38:01,200
Speaker 1: I got the thing done you all wanted done, and

736
00:38:01,280 --> 00:38:03,319
Speaker 1: then none of y'all went out in front of the

737
00:38:03,320 --> 00:38:06,040
Speaker 1: cameras to ultimately defend it. You ran ahead, and of

738
00:38:06,040 --> 00:38:09,440
Speaker 1: course we all know why because it was wildly unpopular,

739
00:38:09,600 --> 00:38:13,400
Speaker 1: and so that's why there were very few Republicans anywhere

740
00:38:13,400 --> 00:38:15,359
Speaker 1: who really wanted to touch it with a ten foot poll. Yes,

741
00:38:15,400 --> 00:38:18,200
Speaker 1: pay very close attention because if mac Pens does end

742
00:38:18,280 --> 00:38:20,359
Speaker 1: up running, you're going to be hearing this all day long,

743
00:38:20,440 --> 00:38:25,839
Speaker 1: and a lot of this on conservative media. Okay, let's

744
00:38:25,840 --> 00:38:28,160
Speaker 1: go ahead and move on to Ukraine. Some interesting developments

745
00:38:28,160 --> 00:38:31,160
Speaker 1: happening in Ukraine. There's long been a quote unquote Western

746
00:38:31,239 --> 00:38:34,440
Speaker 1: tank taboo. Ukraine has always been very upset by this.

747
00:38:34,560 --> 00:38:38,480
Speaker 1: They want armored tanks, armored vehicles, troop carriers and others

748
00:38:38,480 --> 00:38:41,120
Speaker 1: provided by the US and by the West. And it

749
00:38:41,239 --> 00:38:44,920
Speaker 1: seems that that taboo is breaking, not necessarily from the US,

750
00:38:44,960 --> 00:38:48,160
Speaker 1: of which we are providing some armored fighting vehicles, but

751
00:38:48,239 --> 00:38:52,480
Speaker 1: specifically the provision of tanks to Ukraine to be used

752
00:38:52,520 --> 00:38:56,000
Speaker 1: in their upcome offensive provided by the British government. We

753
00:38:56,080 --> 00:38:58,040
Speaker 1: have a little bit of voice over here. The British

754
00:38:58,080 --> 00:39:02,400
Speaker 1: government put out a video where they were showcasing their tank.

755
00:39:02,719 --> 00:39:04,839
Speaker 1: They had kind of a snarky tweet and they also

756
00:39:04,880 --> 00:39:07,320
Speaker 1: put together like a compilation I guess of a tank

757
00:39:07,400 --> 00:39:11,240
Speaker 1: being badass. It's the challenger too. I personally I love tanks.

758
00:39:11,239 --> 00:39:14,200
Speaker 1: I think they're really cool. From their inception onward. There

759
00:39:14,239 --> 00:39:16,160
Speaker 1: was a lot of discussion in the history of warfare

760
00:39:16,160 --> 00:39:19,480
Speaker 1: around whether tanks were obsolete, I would say, or never obsolete.

761
00:39:19,680 --> 00:39:21,640
Speaker 1: You can go look at the battlefield in Ukraine and

762
00:39:21,640 --> 00:39:25,120
Speaker 1: why they want them at here. However, geopolitically, why does

763
00:39:25,120 --> 00:39:27,239
Speaker 1: any of this matter, Because let's put this up there,

764
00:39:27,400 --> 00:39:30,319
Speaker 1: Rishie Sunak and the Conservative government over there are making

765
00:39:30,320 --> 00:39:33,480
Speaker 1: an affirmative choice to actually do two things. Number one

766
00:39:33,800 --> 00:39:38,400
Speaker 1: provide obviously a couple of tanks to Ukraine. But number

767
00:39:38,400 --> 00:39:42,480
Speaker 1: two is that these fourteen tanks are specifically being taken

768
00:39:42,840 --> 00:39:47,760
Speaker 1: away from the fighting capability of the Western NATO stock

769
00:39:47,960 --> 00:39:50,839
Speaker 1: something that the UK itself would use in battle if

770
00:39:50,920 --> 00:39:55,680
Speaker 1: called to, instead of stuff that we mostly have in storage, weapons, ammunition,

771
00:39:55,840 --> 00:39:59,440
Speaker 1: more things that can be resupplied much more easier. I

772
00:39:59,440 --> 00:40:01,640
Speaker 1: don't think it's genius to figure out that the supply

773
00:40:01,719 --> 00:40:03,920
Speaker 1: chain and creating a tank maintenance and all that is

774
00:40:03,920 --> 00:40:07,680
Speaker 1: actually incredibly difficult. Part of the reason why many countries

775
00:40:07,719 --> 00:40:10,600
Speaker 1: don't have the most advanced ones, even here our own

776
00:40:10,719 --> 00:40:13,560
Speaker 1: Abrams tanks. The question around this is is this a

777
00:40:13,600 --> 00:40:16,640
Speaker 1: symbolic gesture or is this going to make a major

778
00:40:16,680 --> 00:40:20,360
Speaker 1: strategic difference. Time will tell. I've seen a lot of

779
00:40:20,400 --> 00:40:23,240
Speaker 1: different military analysts. On the one hand, you got fourteen

780
00:40:23,280 --> 00:40:28,279
Speaker 1: Challenger two tanks. That's decent firepower. But we have to

781
00:40:28,280 --> 00:40:30,239
Speaker 1: talk about maintenance. What if one of them gets hit,

782
00:40:30,400 --> 00:40:32,120
Speaker 1: one of them gets hit by a mind what I

783
00:40:33,000 --> 00:40:34,400
Speaker 1: do you have the right mechanics to make sure these

784
00:40:34,400 --> 00:40:37,880
Speaker 1: are highly specialized pieces of equipment, the electronics, all of that. Obviously,

785
00:40:37,920 --> 00:40:40,440
Speaker 1: the Russians have a ton of materiall but a lot

786
00:40:40,480 --> 00:40:43,400
Speaker 1: of their stuff has been breaking down. Clearly, Ukraine's been

787
00:40:43,480 --> 00:40:46,000
Speaker 1: getting stuck in the mud, has not been utilized to

788
00:40:46,040 --> 00:40:48,800
Speaker 1: its most effect. There's also a big discussion right now

789
00:40:48,880 --> 00:40:52,440
Speaker 1: around tanks being provided by Poland. There's a big decision

790
00:40:52,480 --> 00:40:55,760
Speaker 1: point actually for the German government because the Germans providing

791
00:40:55,880 --> 00:40:57,879
Speaker 1: Poles with the tanks, and the Poles want to give

792
00:40:57,920 --> 00:41:00,000
Speaker 1: those tanks to the Ukrainians, but they can't do it

793
00:41:00,080 --> 00:41:02,760
Speaker 1: without the Germans. There was also a consternation in Germany

794
00:41:02,840 --> 00:41:05,640
Speaker 1: right now because their defense minister actually just resigned yesterday,

795
00:41:05,920 --> 00:41:08,440
Speaker 1: mostly over criticism of Ukraine. I'm not going to pretend

796
00:41:08,480 --> 00:41:11,560
Speaker 1: to be an expert. A lot of it is the

797
00:41:11,640 --> 00:41:13,840
Speaker 1: idea that she wasn't serious enough of a candidate to

798
00:41:13,840 --> 00:41:15,719
Speaker 1: be in the job, though she was very trusted by

799
00:41:15,800 --> 00:41:19,520
Speaker 1: the Chancellor. Overall, provides a big decision point also for

800
00:41:19,640 --> 00:41:23,920
Speaker 1: the United States, for France, and for other Western countries

801
00:41:23,920 --> 00:41:26,040
Speaker 1: which do have these tanks are they going to take

802
00:41:26,520 --> 00:41:29,399
Speaker 1: stock of, you know, vehicles and other things are which

803
00:41:29,440 --> 00:41:32,600
Speaker 1: are most would say are pretty critical to the readiness

804
00:41:32,600 --> 00:41:35,640
Speaker 1: of the US military, the UK military and directly provide

805
00:41:35,680 --> 00:41:39,200
Speaker 1: those to Ukraine on the battlefield. But the Ukrainians are

806
00:41:39,239 --> 00:41:43,080
Speaker 1: hailing this as a major victory because the ability to

807
00:41:43,120 --> 00:41:46,200
Speaker 1: have combined combined armed force combat and all that and

808
00:41:46,239 --> 00:41:49,680
Speaker 1: move as a unit. This would lengthen their ability to

809
00:41:49,800 --> 00:41:52,959
Speaker 1: break through in terms of Russian lines and take even

810
00:41:52,960 --> 00:41:56,080
Speaker 1: more territory. Right now, they're more limited by how much

811
00:41:56,080 --> 00:41:58,200
Speaker 1: they can walk. That's been something you know, kind of

812
00:41:58,200 --> 00:42:01,520
Speaker 1: a reversion to pre Worldorld War two type warfare and

813
00:42:01,560 --> 00:42:03,759
Speaker 1: a lot of the tactics that we developed for World

814
00:42:03,800 --> 00:42:05,800
Speaker 1: War Two and kind of onward in terms of battlefield

815
00:42:05,880 --> 00:42:08,880
Speaker 1: ones rely very much on tanks and armored vehicles in

816
00:42:08,960 --> 00:42:10,880
Speaker 1: order to break through a line and then take as

817
00:42:11,000 --> 00:42:14,880
Speaker 1: much territory of that as possible into the animust territory.

818
00:42:14,920 --> 00:42:17,840
Speaker 1: So it's a significant decision regardless, because it could pressage

819
00:42:17,880 --> 00:42:20,120
Speaker 1: even more tanks that go over to Ukraine. Yeah, I

820
00:42:20,120 --> 00:42:21,840
Speaker 1: think it's a real open question how much of a

821
00:42:21,840 --> 00:42:23,920
Speaker 1: difference this makes on the battlefield. I think what is

822
00:42:23,960 --> 00:42:26,200
Speaker 1: a lot clearer is a couple of things. Number One,

823
00:42:26,480 --> 00:42:29,799
Speaker 1: you know, we continue to up the anti in terms

824
00:42:29,880 --> 00:42:31,960
Speaker 1: of the types of weapons we are willing to ship.

825
00:42:32,320 --> 00:42:35,160
Speaker 1: This was a non starter at the beginning of this

826
00:42:35,400 --> 00:42:38,560
Speaker 1: six months ago. The idea of the you know, the

827
00:42:38,680 --> 00:42:41,640
Speaker 1: the NATO Alliance ship anyone in the NATO Alliance shipping

828
00:42:41,640 --> 00:42:44,960
Speaker 1: tanks was you know, something that was completely out of bounce.

829
00:42:45,440 --> 00:42:48,480
Speaker 1: We also are training Ukrainians, which we're going to get

830
00:42:48,520 --> 00:42:50,840
Speaker 1: to in a moment on our own Patriot missile system.

831
00:42:50,880 --> 00:42:52,520
Speaker 1: This was also something that at the beginning of this

832
00:42:52,600 --> 00:42:54,680
Speaker 1: conflict we're like, no, that's too far, It'd be too

833
00:42:54,719 --> 00:42:57,400
Speaker 1: much of a provocation for Russia. So we have seen

834
00:42:57,640 --> 00:43:01,239
Speaker 1: throughout this conflict the way we increase and increase and

835
00:43:01,320 --> 00:43:03,960
Speaker 1: increase what we are willing to do step by step

836
00:43:03,960 --> 00:43:07,680
Speaker 1: by step, and this is a particularly significant step that

837
00:43:07,760 --> 00:43:10,759
Speaker 1: we and our allies in the UK are taking here.

838
00:43:11,840 --> 00:43:15,120
Speaker 1: The other piece is, as you were pointing to Sagar

839
00:43:15,239 --> 00:43:17,640
Speaker 1: And there was a guy named Jack Waddling, senior Research

840
00:43:17,680 --> 00:43:20,960
Speaker 1: fellow for Land Warfare at the Royal United Services Institute,

841
00:43:21,080 --> 00:43:24,720
Speaker 1: who described this as a hard fork in the road.

842
00:43:25,280 --> 00:43:28,880
Speaker 1: Why because he writes, for months they have gifted equipment

843
00:43:28,920 --> 00:43:32,280
Speaker 1: that they have held in storage. Now, although these donations

844
00:43:32,280 --> 00:43:34,160
Speaker 1: have been expressed in dollar terms, few of them have

845
00:43:34,280 --> 00:43:37,920
Speaker 1: incurred heavy financial cost to donors. As donations begin to

846
00:43:37,960 --> 00:43:41,279
Speaker 1: push into critical fleets and stockpiles. However, Ukraine's partner's fees

847
00:43:41,320 --> 00:43:45,040
Speaker 1: the need to invest in regenerating their capabilities as well

848
00:43:45,080 --> 00:43:47,720
Speaker 1: as supporting Ukraine. Now, he is very much in favor

849
00:43:47,760 --> 00:43:50,000
Speaker 1: of this, He says, in a challenging financial environment, they

850
00:43:50,040 --> 00:43:52,000
Speaker 1: have tried to defer this decision, but if they want

851
00:43:52,120 --> 00:43:55,160
Speaker 1: Ukrainian victory, then they can defer it no longer. But

852
00:43:55,200 --> 00:43:57,880
Speaker 1: whether or not you agree with his analysis that this

853
00:43:58,000 --> 00:44:00,640
Speaker 1: is the right thing to do, he said, we're now

854
00:44:00,760 --> 00:44:03,200
Speaker 1: at this place where you're no longer just taking what

855
00:44:03,280 --> 00:44:05,719
Speaker 1: you had in storage and sending it over, okay. And

856
00:44:05,760 --> 00:44:08,520
Speaker 1: this also tracks with what Carlos del Toro, who's the

857
00:44:08,520 --> 00:44:11,279
Speaker 1: Secretary of the Navy said and then had to kind

858
00:44:11,320 --> 00:44:13,799
Speaker 1: of walk back about how this is starting to eat

859
00:44:13,800 --> 00:44:19,200
Speaker 1: into our own capabilities and our own stockpiles. So everyone

860
00:44:19,280 --> 00:44:22,240
Speaker 1: is looking forward to what's going to happen in the spring.

861
00:44:22,400 --> 00:44:24,560
Speaker 1: What sort of an offensive is Ukraine going to be

862
00:44:24,560 --> 00:44:27,600
Speaker 1: able to mount. What is Russia ultimately planning? You know,

863
00:44:27,680 --> 00:44:30,399
Speaker 1: are they going to have another round of conscription? Are

864
00:44:30,440 --> 00:44:32,440
Speaker 1: they going to be able to sort of get their

865
00:44:32,480 --> 00:44:35,279
Speaker 1: act together and push forward and reclaim some of the

866
00:44:35,400 --> 00:44:38,719
Speaker 1: territory that they had lost after they initially took it.

867
00:44:39,000 --> 00:44:41,440
Speaker 1: Those are really open questions, and the fact that Ukraine

868
00:44:41,480 --> 00:44:44,840
Speaker 1: has had a lot of the momentum for this entire

869
00:44:44,960 --> 00:44:48,680
Speaker 1: war does not mean that that will necessarily continue indefinitely. Yeah,

870
00:44:48,680 --> 00:44:50,240
Speaker 1: and let's go to the next one here. This fits

871
00:44:50,360 --> 00:44:53,880
Speaker 1: again with an affirmative decision to provide more advanced weaponry.

872
00:44:53,920 --> 00:44:57,960
Speaker 1: The Ukrainians actually just arrived in Fort Sill, Oklahoma, yesterday

873
00:44:58,360 --> 00:45:00,799
Speaker 1: to begin training on the Patriot miss system. Now, let's

874
00:45:00,800 --> 00:45:02,600
Speaker 1: also be clear, it's going to take a long time

875
00:45:02,640 --> 00:45:05,160
Speaker 1: for these troops to learn how to use the Patriots,

876
00:45:05,160 --> 00:45:07,279
Speaker 1: and there's also a lot of questions as to whether

877
00:45:07,320 --> 00:45:09,360
Speaker 1: they can even do it without the United States. One

878
00:45:09,400 --> 00:45:11,800
Speaker 1: of the original reasons we didn't want to provide Patriot

879
00:45:11,800 --> 00:45:16,160
Speaker 1: missile defense systems to the Ukrainians was because it was

880
00:45:16,280 --> 00:45:18,879
Speaker 1: said by the US military specifically, we wouldn't be able

881
00:45:18,880 --> 00:45:21,360
Speaker 1: to do so without having US troops on the ground

882
00:45:21,480 --> 00:45:23,799
Speaker 1: to operate them and in order to take care of them.

883
00:45:23,840 --> 00:45:26,880
Speaker 1: These are very sensitive pieces of equipment. Whether that rule

884
00:45:26,880 --> 00:45:29,239
Speaker 1: will remain the case or not, I think we'll all

885
00:45:29,360 --> 00:45:31,839
Speaker 1: keep our eyes very open. Let's go to the next

886
00:45:31,880 --> 00:45:34,000
Speaker 1: one here. Why does any of this matter? In terms

887
00:45:34,000 --> 00:45:36,520
Speaker 1: of the tanks and more. Ukraine is preparing for the

888
00:45:36,600 --> 00:45:39,920
Speaker 1: new offensive right now, as Russia and Belarus are beginning

889
00:45:40,200 --> 00:45:42,560
Speaker 1: joint drills. There's been a lot of questions around Belarus

890
00:45:42,560 --> 00:45:45,440
Speaker 1: about a potential draft, about potential massing of troops on

891
00:45:45,520 --> 00:45:48,680
Speaker 1: that side, and some sort of dual like an official

892
00:45:50,040 --> 00:45:54,520
Speaker 1: dual alliance against Ukraine, beyond just political support for the war.

893
00:45:54,600 --> 00:45:56,400
Speaker 1: It's complicated too by the fact that a lot of

894
00:45:56,400 --> 00:45:58,759
Speaker 1: Belarussians don't want anything to do with the war in Ukraine,

895
00:45:58,800 --> 00:46:01,480
Speaker 1: and they specifically don't want to have to fight into it.

896
00:46:01,520 --> 00:46:05,040
Speaker 1: Will putin force the government there in order to acquies

897
00:46:05,160 --> 00:46:07,240
Speaker 1: and to join him in some sort of Soviet Union

898
00:46:07,560 --> 00:46:10,680
Speaker 1: type thing. I have no idea how exactly that would do,

899
00:46:10,760 --> 00:46:13,280
Speaker 1: especially maybe to try and take some of the pressure

900
00:46:13,320 --> 00:46:15,759
Speaker 1: off of the front line where it is right now.

901
00:46:15,840 --> 00:46:17,799
Speaker 1: I think what we do know is very clearly the

902
00:46:17,840 --> 00:46:22,120
Speaker 1: Ukrainians are doing their absolute best. They're doing forest cleaning,

903
00:46:22,280 --> 00:46:25,040
Speaker 1: they're doing a lot of drills, but the most significant

904
00:46:25,040 --> 00:46:29,919
Speaker 1: thing that they remain is clamoring for as much firepower

905
00:46:29,960 --> 00:46:32,719
Speaker 1: as they can on the world stage. Celenski at Davos

906
00:46:33,000 --> 00:46:35,800
Speaker 1: this week, making the same case, more weapons, more weapons,

907
00:46:36,239 --> 00:46:39,320
Speaker 1: more weapons. Here he visited the US number one message,

908
00:46:39,320 --> 00:46:41,480
Speaker 1: I needed more, I need even more. You know, even

909
00:46:41,520 --> 00:46:44,680
Speaker 1: the patriots is not enough. Quite frankly, what he said

910
00:46:44,680 --> 00:46:47,360
Speaker 1: in his speech allegedly that's what he talked about only

911
00:46:47,600 --> 00:46:50,560
Speaker 1: with Biden in his meeting. So clearly they're going for

912
00:46:50,640 --> 00:46:53,920
Speaker 1: broke in two thousand and twenty three, whenever the fighting

913
00:46:53,960 --> 00:46:56,400
Speaker 1: season does come and the mud seems to go away,

914
00:46:56,400 --> 00:46:58,560
Speaker 1: and we're not that far away. We're only a couple

915
00:46:58,560 --> 00:47:01,880
Speaker 1: of months from seeing some of that behavior actually happened. Yeah,

916
00:47:01,920 --> 00:47:04,960
Speaker 1: there's a report this morning about how Ukraine and the

917
00:47:05,120 --> 00:47:08,520
Speaker 1: Russia's war in Ukraine is sort of dominating the discussions

918
00:47:08,520 --> 00:47:12,480
Speaker 1: at Davos World Economic Forum. Not only is a Lenski speaking,

919
00:47:12,640 --> 00:47:15,840
Speaker 1: the first lady I believe is there, along with a

920
00:47:15,880 --> 00:47:19,880
Speaker 1: top aid. So they're going full court press, as they

921
00:47:19,920 --> 00:47:22,560
Speaker 1: always do in terms of what can you give us?

922
00:47:22,560 --> 00:47:24,400
Speaker 1: We need more, we need more, we need more. Who

923
00:47:24,480 --> 00:47:27,439
Speaker 1: can blame them? But that is the sort of state

924
00:47:27,480 --> 00:47:30,759
Speaker 1: of affairs as we see what's going to come next

925
00:47:30,800 --> 00:47:33,160
Speaker 1: in terms of this war that has been going on

926
00:47:33,239 --> 00:47:37,120
Speaker 1: now almost a year, I mean with no one in sight, sadly,

927
00:47:37,400 --> 00:47:40,080
Speaker 1: So that's where we are as of today. Yeah, that's right.

928
00:47:40,160 --> 00:47:42,040
Speaker 1: Let's go to the next part here. This is some

929
00:47:42,080 --> 00:47:45,080
Speaker 1: interesting news that was broken by Branco Marcetic. Let's go

930
00:47:45,160 --> 00:47:47,640
Speaker 1: and put this up there on the screen. He actually

931
00:47:47,680 --> 00:47:52,760
Speaker 1: found some diplomatic cables previously unreported that showed that Russia

932
00:47:52,800 --> 00:47:56,000
Speaker 1: saw NATO expansion as a red line. Now, I want

933
00:47:56,000 --> 00:47:58,520
Speaker 1: to be very careful in the ways that I talk

934
00:47:58,560 --> 00:48:01,239
Speaker 1: about this. I am not saying in any way that

935
00:48:01,280 --> 00:48:04,960
Speaker 1: it is NATO's fault that the Ukraine War happened. The

936
00:48:05,040 --> 00:48:07,440
Speaker 1: Russians are the ones who invaded. They didn't have to

937
00:48:07,440 --> 00:48:11,000
Speaker 1: do it if they didn't want to. So that being said, okay,

938
00:48:11,160 --> 00:48:13,440
Speaker 1: let's take a step back though, as to what are

939
00:48:13,440 --> 00:48:17,160
Speaker 1: the precipitating strategic conditions through which the war broke out.

940
00:48:17,280 --> 00:48:19,399
Speaker 1: It's like when you talk about the First World War. Yes,

941
00:48:19,520 --> 00:48:22,080
Speaker 1: it started with the Archduke Ferdinand. It also started a

942
00:48:22,120 --> 00:48:24,920
Speaker 1: decade before whenever there was a German shipbuilding programs, And

943
00:48:24,960 --> 00:48:27,280
Speaker 1: you'd be an idiot if you didn't consider the latter.

944
00:48:27,400 --> 00:48:29,479
Speaker 1: Why does any of this matter? So what they say,

945
00:48:29,640 --> 00:48:34,719
Speaker 1: what Branco has found are multiple cables, let's say, from

946
00:48:34,840 --> 00:48:38,440
Speaker 1: NATO allies France, Germany, Italy, and Norway, all in Washington

947
00:48:38,760 --> 00:48:41,719
Speaker 1: in the early nineteen sixties and onward that showed that

948
00:48:41,760 --> 00:48:44,799
Speaker 1: the Russians believe that NATO expansion of any sort was

949
00:48:44,800 --> 00:48:49,359
Speaker 1: seen as a redline by the Russian government, specifically also

950
00:48:48,920 --> 00:48:53,800
Speaker 1: in the post Cold War environment at which NATO obviously

951
00:48:53,840 --> 00:48:58,120
Speaker 1: not only expanded beyond Germany, but you know, included former

952
00:48:58,200 --> 00:49:01,879
Speaker 1: Soviet republics and others in the Baltics. All of this

953
00:49:01,920 --> 00:49:05,160
Speaker 1: has long been a point of consternation. It's pointed as

954
00:49:05,239 --> 00:49:08,600
Speaker 1: one of the major breaks in the US Russian relationship.

955
00:49:08,840 --> 00:49:11,080
Speaker 1: You know, people forget we actually quite a good relationship

956
00:49:11,080 --> 00:49:13,560
Speaker 1: with Putin. In two thousand and one, he was one

957
00:49:13,560 --> 00:49:15,960
Speaker 1: of the first people to call President Bush after nine

958
00:49:16,000 --> 00:49:18,480
Speaker 1: to eleven he visited here. Bush famously said that he

959
00:49:18,520 --> 00:49:22,680
Speaker 1: saw his soul in his eyes. Throwback to our great

960
00:49:22,719 --> 00:49:25,520
Speaker 1: President George W. Bush. He really did well for us

961
00:49:25,560 --> 00:49:29,400
Speaker 1: all anyway, that's great, Yes, it's worked out great. And

962
00:49:29,440 --> 00:49:32,200
Speaker 1: actually the Bush administration is a critical turning point whenever

963
00:49:32,239 --> 00:49:35,080
Speaker 1: we think about the history, because that included not only

964
00:49:35,120 --> 00:49:37,239
Speaker 1: the expansion of NATO to the Baltic States, but that

965
00:49:37,400 --> 00:49:41,279
Speaker 1: was also a lot of people forget the Russian incursion

966
00:49:41,600 --> 00:49:44,279
Speaker 1: whatever you want to call it, into Georgia. Well that

967
00:49:44,440 --> 00:49:48,120
Speaker 1: was actually after the declaration that they wanted to include

968
00:49:48,239 --> 00:49:50,480
Speaker 1: Ukraine in Georgia in NATO. It was one of the

969
00:49:50,480 --> 00:49:52,839
Speaker 1: first times we had a declarative statement that they were

970
00:49:52,880 --> 00:49:56,759
Speaker 1: invited essentially into the NATO Alliance. And effectively, you know,

971
00:49:56,840 --> 00:50:00,399
Speaker 1: relations between our two countries have dropped off a cliff then.

972
00:50:00,440 --> 00:50:03,839
Speaker 1: But I thought that these cables were worth looking into

973
00:50:03,960 --> 00:50:06,600
Speaker 1: and more because when you write the history of this

974
00:50:06,680 --> 00:50:10,839
Speaker 1: war in one hundred years like this unquestionably is going

975
00:50:10,920 --> 00:50:13,960
Speaker 1: to be a key part of the discussion. As I said,

976
00:50:14,160 --> 00:50:17,480
Speaker 1: you know, for a decade or twenty years or so

977
00:50:17,560 --> 00:50:20,160
Speaker 1: after the First World War, nobody wanted to look back

978
00:50:20,200 --> 00:50:22,560
Speaker 1: at you know, the British Navy and the German navy,

979
00:50:22,640 --> 00:50:25,400
Speaker 1: and how you know, Austro Hungarians and all the macro

980
00:50:25,440 --> 00:50:27,920
Speaker 1: streat It took a long time before we were all

981
00:50:28,000 --> 00:50:30,920
Speaker 1: able to dispassionately sit back and be like, Okay, these

982
00:50:30,960 --> 00:50:34,480
Speaker 1: are the precipitating environment which created the conditions that war

983
00:50:34,520 --> 00:50:36,000
Speaker 1: could break out. And I think, right, you know, we're

984
00:50:36,000 --> 00:50:37,920
Speaker 1: trying to do the same thing here, just in real time,

985
00:50:37,920 --> 00:50:40,279
Speaker 1: which is why it's very difficult. Yes, well, and let

986
00:50:40,280 --> 00:50:43,480
Speaker 1: me also say a few things. Number one, I mean,

987
00:50:43,600 --> 00:50:46,520
Speaker 1: what comes out really clearly from these cables, which, by

988
00:50:46,520 --> 00:50:48,480
Speaker 1: the way, it's worth noting we're pulled from WikiLeaks. We

989
00:50:48,480 --> 00:50:51,240
Speaker 1: wouldn't know any of this without WikiLeaks and Julian Assange

990
00:50:51,360 --> 00:50:54,680
Speaker 1: side note. But what comes out really clearly is guess

991
00:50:54,719 --> 00:50:58,320
Speaker 1: what We were warned by a lot of people, including

992
00:50:58,360 --> 00:51:03,320
Speaker 1: our own officials, that this was that NATO expansion, especially

993
00:51:03,360 --> 00:51:07,360
Speaker 1: with regards to Ukraine, was a red line for Russia,

994
00:51:07,600 --> 00:51:10,720
Speaker 1: and we chose to cross it anyway. Now, of course,

995
00:51:11,480 --> 00:51:15,399
Speaker 1: with the Kremlin and Putin, they bear responsibility for this war.

996
00:51:15,760 --> 00:51:18,920
Speaker 1: But as we look at what's unfolding with China and

997
00:51:18,920 --> 00:51:21,799
Speaker 1: what they are laying out as their red lines in

998
00:51:21,880 --> 00:51:25,600
Speaker 1: terms of escalation, it is worth bearing in mind that

999
00:51:25,640 --> 00:51:29,319
Speaker 1: there were a lot of people that predicted exactly this

1000
00:51:29,520 --> 00:51:31,959
Speaker 1: sequence of events and that this would be the path

1001
00:51:32,000 --> 00:51:36,080
Speaker 1: we walk on to end up at another European land war.

1002
00:51:36,239 --> 00:51:38,839
Speaker 1: And guess what they were right. And here's the other

1003
00:51:38,880 --> 00:51:41,919
Speaker 1: piece that I think is really important. Note the way

1004
00:51:41,960 --> 00:51:46,680
Speaker 1: that we have been gas lit to extraordinary measures by

1005
00:51:46,760 --> 00:51:49,600
Speaker 1: the press and by the political class to pretend that

1006
00:51:49,800 --> 00:51:53,239
Speaker 1: none of this discussion ever happened, when we have it

1007
00:51:53,320 --> 00:51:57,399
Speaker 1: here clear as day. The number of officials and world

1008
00:51:57,480 --> 00:52:00,000
Speaker 1: leaders who were saying, we got to be really careful here,

1009
00:52:00,040 --> 00:52:02,960
Speaker 1: and this could end ultimately really badly. Let me read

1010
00:52:03,000 --> 00:52:06,440
Speaker 1: you one particular piece here, Bronco writes, in a particularly

1011
00:52:06,520 --> 00:52:09,880
Speaker 1: prophetic set of warnings, US officials were told that pushing

1012
00:52:09,920 --> 00:52:12,440
Speaker 1: for Ukrainian membership in NATO would not only increase the

1013
00:52:12,560 --> 00:52:16,160
Speaker 1: chance of Russia meddling in the country, which happened, but

1014
00:52:16,600 --> 00:52:20,560
Speaker 1: destabilizing the divided nation, which also happened, and that US

1015
00:52:20,600 --> 00:52:24,200
Speaker 1: and other NATO officials pressured Ukrainian leaders to reshape this

1016
00:52:24,360 --> 00:52:27,719
Speaker 1: unfriendly public opinion in response. All of this was told

1017
00:52:27,760 --> 00:52:29,960
Speaker 1: to US officials in both public and private, by not

1018
00:52:30,040 --> 00:52:31,880
Speaker 1: just Seed to Russian officials going all the way up

1019
00:52:31,880 --> 00:52:35,640
Speaker 1: to the presidency, but by NATO allies, various analysts, and experts,

1020
00:52:35,840 --> 00:52:39,240
Speaker 1: liberal Russian voices critical of Putin, and even sometimes US

1021
00:52:39,239 --> 00:52:46,120
Speaker 1: diplomats themselves. This is also really interesting, and we'll just

1022
00:52:46,160 --> 00:52:50,120
Speaker 1: say interesting. Many of these cables that Bronco was able

1023
00:52:50,160 --> 00:52:53,120
Speaker 1: to find were transmitted by then US Ambassador to Russia

1024
00:52:53,160 --> 00:52:58,360
Speaker 1: William Burns, who is today serving as Biden's CIA Director.

1025
00:52:58,800 --> 00:53:02,200
Speaker 1: Recounting his conversations with various Russian observers from both regional

1026
00:53:02,200 --> 00:53:05,120
Speaker 1: and US think tanks, Burns concluded in a March two

1027
00:53:05,160 --> 00:53:08,160
Speaker 1: thousand and seven cable that NATO enlargement and US missile

1028
00:53:08,160 --> 00:53:11,359
Speaker 1: defense deployments in Europe played to the classic Russian fear

1029
00:53:11,400 --> 00:53:15,960
Speaker 1: of encirclement. Ukraine and Georgia's entry represents an unthinkable predictment

1030
00:53:16,040 --> 00:53:19,280
Speaker 1: for Russia. He reported six months later, warning that Moscow

1031
00:53:19,280 --> 00:53:21,960
Speaker 1: would cause enough trouble in Georgia and counted on continued

1032
00:53:21,960 --> 00:53:24,680
Speaker 1: political disarray in Ukraine to halt it. In an especially

1033
00:53:24,719 --> 00:53:27,319
Speaker 1: Prussian set of cables, he summed up scholars views that

1034
00:53:27,360 --> 00:53:32,000
Speaker 1: the emerging Russia China relationship was largely quite quote the

1035
00:53:32,200 --> 00:53:36,479
Speaker 1: byproduct of bad US policies and was unsustainable quote and less.

1036
00:53:36,520 --> 00:53:41,000
Speaker 1: Continued NATO enlargement pushed Russia and China even closer together.

1037
00:53:41,360 --> 00:53:45,239
Speaker 1: So again they knew they were worn by Russians, they

1038
00:53:45,239 --> 00:53:47,080
Speaker 1: were worn by NATO allies, they were worn by their

1039
00:53:47,080 --> 00:53:49,600
Speaker 1: own ambassador of Russia, that these were red lines, and

1040
00:53:49,640 --> 00:53:52,680
Speaker 1: that there could be real consequences and this could create

1041
00:53:53,680 --> 00:53:57,840
Speaker 1: destabilization in Ukraine. It could lead to Russia feeling encircled

1042
00:53:57,960 --> 00:54:01,600
Speaker 1: and lashing out. Again, this is I'm not denying them culpability,

1043
00:54:02,040 --> 00:54:05,080
Speaker 1: but don't be gas lit into believing that none of

1044
00:54:05,120 --> 00:54:08,759
Speaker 1: this discussion was happening and that people didn't know that

1045
00:54:08,920 --> 00:54:13,160
Speaker 1: our actions were incredibly provocative. Yeah, and then immediately after

1046
00:54:13,200 --> 00:54:15,960
Speaker 1: the war we emit Sweden and Feeland and the NATO.

1047
00:54:16,080 --> 00:54:19,839
Speaker 1: So anyway, perhaps one day we will find out why

1048
00:54:19,920 --> 00:54:23,279
Speaker 1: is that decision was and perhaps we would have liked

1049
00:54:23,320 --> 00:54:25,640
Speaker 1: a little bit more discussion about it at the time

1050
00:54:25,719 --> 00:54:28,560
Speaker 1: before you end up in a general European war. Let's

1051
00:54:28,600 --> 00:54:31,080
Speaker 1: go to the next one, Chat GPT. This is a

1052
00:54:31,200 --> 00:54:33,200
Speaker 1: very important story. I know that many of you are

1053
00:54:33,280 --> 00:54:36,440
Speaker 1: very interested in it and the implications of chat GPT

1054
00:54:36,920 --> 00:54:39,720
Speaker 1: on our society. I have yet to see a major

1055
00:54:39,960 --> 00:54:43,120
Speaker 1: macro case or an institution that is bringing down except

1056
00:54:43,239 --> 00:54:45,800
Speaker 1: for higher education, and that's where we want to focus

1057
00:54:46,040 --> 00:54:48,400
Speaker 1: our energy. Today, let's put this up there on the

1058
00:54:48,400 --> 00:54:52,680
Speaker 1: screen from inside Higher edg And it's specifically about the

1059
00:54:52,800 --> 00:54:57,640
Speaker 1: major changes that chat GPT is having, both on the

1060
00:54:57,680 --> 00:55:01,279
Speaker 1: way that people are creating syllabi, but also in terms

1061
00:55:01,360 --> 00:55:06,040
Speaker 1: of how students themselves are using chat GPT and how

1062
00:55:06,040 --> 00:55:11,720
Speaker 1: it's revolutionizing homework assignments the way that they have essays written.

1063
00:55:12,360 --> 00:55:16,839
Speaker 1: There have been now multiple cheating scandals in which professors

1064
00:55:16,880 --> 00:55:20,320
Speaker 1: have suspected and have confirmed later that essays were written

1065
00:55:20,440 --> 00:55:24,680
Speaker 1: almost entirely by chat GPT. They've also, though, been used

1066
00:55:24,680 --> 00:55:28,360
Speaker 1: by students in order to try and generate outlines, and

1067
00:55:28,440 --> 00:55:32,120
Speaker 1: it raises a real question of like, what exactly is

1068
00:55:32,360 --> 00:55:35,920
Speaker 1: the what exactly is the okay way to do this?

1069
00:55:36,400 --> 00:55:38,680
Speaker 1: I don't know in my head, I don't know why,

1070
00:55:38,840 --> 00:55:41,080
Speaker 1: but creating an outline is just very different than writing

1071
00:55:41,120 --> 00:55:43,279
Speaker 1: the essay and then editing it. But is it, you know,

1072
00:55:43,280 --> 00:55:45,080
Speaker 1: at the end of the day, if you're outsourcing some

1073
00:55:45,120 --> 00:55:47,279
Speaker 1: of this work, but how is that different than previously

1074
00:55:47,320 --> 00:55:49,520
Speaker 1: whenever you would go read, you know, an example essay

1075
00:55:49,600 --> 00:55:52,160
Speaker 1: or whatever and then try and use that too for

1076
00:55:52,440 --> 00:55:54,840
Speaker 1: your college work. And I think it just brings a

1077
00:55:54,880 --> 00:55:58,680
Speaker 1: lot of really interesting questions, like what are the new standards,

1078
00:55:58,719 --> 00:56:01,880
Speaker 1: like what is cheating? It's not cheating. On the one hand,

1079
00:56:02,080 --> 00:56:04,080
Speaker 1: this is an incredibly helpful tool. People are using the

1080
00:56:04,080 --> 00:56:07,719
Speaker 1: first draft of their syllabi, they're getting bibliotical references, they're

1081
00:56:07,719 --> 00:56:09,839
Speaker 1: getting all this you know, busy work and stuff, which

1082
00:56:09,880 --> 00:56:12,759
Speaker 1: was just nonsense while you were in college. And on

1083
00:56:12,800 --> 00:56:14,799
Speaker 1: the other some people just don't want to do any

1084
00:56:14,840 --> 00:56:17,120
Speaker 1: work at all, Like how do we come to any

1085
00:56:17,160 --> 00:56:19,960
Speaker 1: sort of academic consensus as to what this means. This

1086
00:56:20,080 --> 00:56:23,239
Speaker 1: is the first field where I've seen major consternation on

1087
00:56:23,280 --> 00:56:25,279
Speaker 1: both sides and real grappling of like, oh my god,

1088
00:56:25,360 --> 00:56:27,840
Speaker 1: what does this actual open AI system mean? It is

1089
00:56:28,120 --> 00:56:31,439
Speaker 1: actually a really fascinating thing to think about. I mean,

1090
00:56:31,600 --> 00:56:33,799
Speaker 1: this is far from the first time that technology has

1091
00:56:33,800 --> 00:56:39,080
Speaker 1: made certain skills obsolete. You know, you think about taxi

1092
00:56:39,160 --> 00:56:41,360
Speaker 1: drivers as one example, where you know it used to

1093
00:56:41,400 --> 00:56:43,359
Speaker 1: be really critical you have the entire map in your

1094
00:56:43,400 --> 00:56:44,959
Speaker 1: head and you're able to get around on your own.

1095
00:56:45,040 --> 00:56:47,960
Speaker 1: Like now anyone can pull it up on Google Maps

1096
00:56:48,080 --> 00:56:51,400
Speaker 1: or whatever your map app of choice is, Ways or whatever,

1097
00:56:51,760 --> 00:56:55,520
Speaker 1: and no problem. You don't need to know any of that. Obviously,

1098
00:56:55,560 --> 00:56:58,959
Speaker 1: there's been tons of advances in automation that have made

1099
00:56:59,000 --> 00:57:03,920
Speaker 1: certain job categories holy obsolete. This is not a new story.

1100
00:57:04,520 --> 00:57:07,720
Speaker 1: Part of why I think there's a particular freak out

1101
00:57:07,760 --> 00:57:10,520
Speaker 1: over chat GPT, which for those of you who haven't

1102
00:57:10,520 --> 00:57:12,360
Speaker 1: played with it or haven't seen the discussion around this,

1103
00:57:12,400 --> 00:57:13,879
Speaker 1: basically you can give it a prompt and it will

1104
00:57:13,880 --> 00:57:15,520
Speaker 1: write a whole thing for you. So you can be like,

1105
00:57:15,960 --> 00:57:19,640
Speaker 1: write a saga and jetty monologue about chat GPT and

1106
00:57:19,720 --> 00:57:22,600
Speaker 1: it can do it and do like a fairly decent job,

1107
00:57:22,640 --> 00:57:24,960
Speaker 1: and do it really quickly. So that's what we're talking

1108
00:57:25,000 --> 00:57:26,720
Speaker 1: about here. Is still in the early phases, and it's

1109
00:57:26,760 --> 00:57:28,840
Speaker 1: not perfect, and you can read it and find some

1110
00:57:28,880 --> 00:57:31,880
Speaker 1: things that are like a little off. It has weaknesses

1111
00:57:31,920 --> 00:57:34,760
Speaker 1: in terms of, you know, if it's on a topic

1112
00:57:34,880 --> 00:57:37,400
Speaker 1: that is personal to you, or it's sort of esoteric

1113
00:57:37,440 --> 00:57:39,440
Speaker 1: and there isn't a lot of data research out there,

1114
00:57:39,440 --> 00:57:41,800
Speaker 1: it's going to struggle there. But you know, this is

1115
00:57:41,920 --> 00:57:45,080
Speaker 1: already a fairly powerful tool. And so to get back

1116
00:57:45,080 --> 00:57:46,960
Speaker 1: to my point, I think the reason why there's a

1117
00:57:46,960 --> 00:57:49,800
Speaker 1: particular freak out about this is because a lot of

1118
00:57:49,840 --> 00:57:55,080
Speaker 1: the automation previously had made obsolete either blue collar or

1119
00:57:55,120 --> 00:57:58,080
Speaker 1: service sector jobs. This one is kind of coming for

1120
00:57:58,320 --> 00:58:04,400
Speaker 1: the knowledge workers, and that's what is I think particularly

1121
00:58:04,480 --> 00:58:09,880
Speaker 1: making people uncomfortable. Now. Look, in my opinion, a lot

1122
00:58:09,880 --> 00:58:14,480
Speaker 1: of our technological advances come with huge upside, but they

1123
00:58:14,520 --> 00:58:17,840
Speaker 1: also come with some downsides as well. I mean, you know,

1124
00:58:18,040 --> 00:58:22,760
Speaker 1: we talk about teenagers and social media and is that

1125
00:58:22,840 --> 00:58:26,439
Speaker 1: fueling a crisis of loneliness where you're not really doing

1126
00:58:26,440 --> 00:58:29,240
Speaker 1: things in real life anymore, it's all just on social media,

1127
00:58:29,360 --> 00:58:31,920
Speaker 1: and that is that part of why you're having depression,

1128
00:58:31,920 --> 00:58:33,920
Speaker 1: why you're having more self harm, why you're having more

1129
00:58:33,920 --> 00:58:36,919
Speaker 1: suicide attempts. These are still open questions which are being

1130
00:58:36,960 --> 00:58:41,200
Speaker 1: research and debated. But you know, most new major technological

1131
00:58:41,240 --> 00:58:44,920
Speaker 1: advances come with big benefits and also some costs and

1132
00:58:44,960 --> 00:58:47,840
Speaker 1: some drawbacks. That's my guess of what this is all

1133
00:58:47,920 --> 00:58:50,479
Speaker 1: ultimately going to mean. I think the first that first

1134
00:58:50,480 --> 00:58:53,120
Speaker 1: piece that we had up there was actually very thoughtful

1135
00:58:53,560 --> 00:58:57,200
Speaker 1: in sorting through some of these complicated issues and basically

1136
00:58:57,240 --> 00:59:00,880
Speaker 1: pointing out this is going to change sort of skill

1137
00:59:00,920 --> 00:59:05,640
Speaker 1: sets that are valuable. So instead of you know, just

1138
00:59:05,680 --> 00:59:10,080
Speaker 1: being good at like churning out papers based on previous research,

1139
00:59:10,120 --> 00:59:12,720
Speaker 1: it's going to be more about knowing what questions to

1140
00:59:12,800 --> 00:59:16,960
Speaker 1: ask going beyond crowdsourced knowledge. So again, if it's not

1141
00:59:17,240 --> 00:59:21,360
Speaker 1: out there widespread already, chat GPT is going to struggle

1142
00:59:21,400 --> 00:59:23,320
Speaker 1: with it. So that's where a human being can have

1143
00:59:23,560 --> 00:59:28,480
Speaker 1: particular inside. They say, leverage AI generated insights into decisions

1144
00:59:28,520 --> 00:59:31,720
Speaker 1: and actions. So the AI can generate the paper. But

1145
00:59:31,760 --> 00:59:34,120
Speaker 1: then what you do with that in the real world, well,

1146
00:59:34,160 --> 00:59:37,040
Speaker 1: that's up to the human beings. They point out. Robots

1147
00:59:37,040 --> 00:59:39,960
Speaker 1: and automation did displace millions of members the industrial working class.

1148
00:59:40,000 --> 00:59:44,240
Speaker 1: Computerization eliminated large swaths of middle management jobs. The threat

1149
00:59:44,280 --> 00:59:46,840
Speaker 1: now is to the very knowledge workers who many assumed

1150
00:59:46,840 --> 00:59:50,560
Speaker 1: were invulnerable to technological change. And again, I think that

1151
00:59:51,080 --> 00:59:55,000
Speaker 1: is why this is particularly striking a nerve with people

1152
00:59:55,040 --> 00:59:58,360
Speaker 1: who have a lot of power and cultural cachet right now, Yeah, exactly,

1153
00:59:58,400 --> 00:59:59,720
Speaker 1: And actually, let's go and put this in New York

1154
00:59:59,720 --> 01:00:02,360
Speaker 1: Times piece up on the screen, because this example just

1155
01:00:02,360 --> 01:00:05,280
Speaker 1: shows you how how much the technology is changing. So

1156
01:00:05,440 --> 01:00:08,280
Speaker 1: a professor said that he read an essay which was

1157
01:00:08,320 --> 01:00:11,040
Speaker 1: easily the best paper. He said, a red flag went

1158
01:00:11,160 --> 01:00:14,440
Speaker 1: up instantly. He confronted his student, and the student confess

1159
01:00:14,520 --> 01:00:17,280
Speaker 1: to using chat GPT. He said that the best paper

1160
01:00:17,320 --> 01:00:21,280
Speaker 1: explored the morality of burka bands with clean paragraphs, fitting examples,

1161
01:00:21,280 --> 01:00:25,160
Speaker 1: and rigorous arguments. Alarmed by the discovery, the professor now

1162
01:00:25,200 --> 01:00:28,360
Speaker 1: has to transform essay writing. He now is going to

1163
01:00:28,400 --> 01:00:32,400
Speaker 1: have students have to write their first draft in the

1164
01:00:32,440 --> 01:00:38,680
Speaker 1: classroom using browsers that monitor and restrict your computer activity. Now,

1165
01:00:38,960 --> 01:00:42,680
Speaker 1: what's also happening is some professors are redesigning their courses,

1166
01:00:43,080 --> 01:00:49,440
Speaker 1: including oral exams, group work, and handwritten assignments instead of

1167
01:00:49,520 --> 01:00:52,120
Speaker 1: typed ones to make sure that you can't just copy

1168
01:00:52,160 --> 01:00:55,200
Speaker 1: and paste from chat GPT. It's like a reversion. These

1169
01:00:55,200 --> 01:00:57,680
Speaker 1: are just a couple of examples of how they are

1170
01:00:57,760 --> 01:01:01,720
Speaker 1: changing things, and some school networks are actually banning chat

1171
01:01:01,800 --> 01:01:06,280
Speaker 1: GBT on their Wi Fi. Many schools and others have

1172
01:01:06,400 --> 01:01:09,120
Speaker 1: no idea how to deal with this because it's such

1173
01:01:09,120 --> 01:01:11,560
Speaker 1: a new innovation. And it's like I was saying around

1174
01:01:11,600 --> 01:01:15,520
Speaker 1: the rules, why is an outline better than an essay?

1175
01:01:15,600 --> 01:01:17,560
Speaker 1: I mean, in some ways it's like if it's not

1176
01:01:17,600 --> 01:01:20,160
Speaker 1: your original work, then it is plagiarism, but you're not

1177
01:01:20,160 --> 01:01:23,600
Speaker 1: plagiarizing one person. You're plagiarizing like the brainchild of the

1178
01:01:23,760 --> 01:01:27,000
Speaker 1: entire Internet. A lot of this is ethics discussions as well,

1179
01:01:27,240 --> 01:01:29,200
Speaker 1: and I thought that the piece that we've put up

1180
01:01:29,200 --> 01:01:31,600
Speaker 1: there first, the inside higher ed one. I thought it

1181
01:01:31,640 --> 01:01:34,480
Speaker 1: was good. It was like, here's how we teach you know, creasoning,

1182
01:01:34,520 --> 01:01:36,960
Speaker 1: critical thinking skills, and all the other reasons why college

1183
01:01:37,000 --> 01:01:40,640
Speaker 1: ostensibly even should exist in the age of crowdsource information.

1184
01:01:40,760 --> 01:01:43,320
Speaker 1: But I can also see like college bureaucrats and all

1185
01:01:43,360 --> 01:01:46,520
Speaker 1: those just becoming very just. I really hate these things

1186
01:01:46,520 --> 01:01:48,080
Speaker 1: that I see college kids have to do. Right. I know,

1187
01:01:48,120 --> 01:01:49,880
Speaker 1: we have a lot of college kids who watch our show.

1188
01:01:49,920 --> 01:01:51,960
Speaker 1: I mean, I think it's insanity. You know, you have

1189
01:01:52,000 --> 01:01:53,640
Speaker 1: to keep the camera on you at all times, like

1190
01:01:53,680 --> 01:01:55,840
Speaker 1: you can't even go to the bathroom during this break,

1191
01:01:55,880 --> 01:01:58,120
Speaker 1: and then everybody, you know, here's the thing. All these kids,

1192
01:01:58,200 --> 01:02:00,000
Speaker 1: they're smarter, they know how to work around the rules.

1193
01:02:00,520 --> 01:02:02,440
Speaker 1: They only make cheat you know, in terms of the

1194
01:02:02,520 --> 01:02:05,840
Speaker 1: cheating and all that. It's just like kids will find

1195
01:02:05,960 --> 01:02:09,120
Speaker 1: a way. So you've got to design the course work

1196
01:02:09,160 --> 01:02:12,080
Speaker 1: in a way where it's not just rote memorization or

1197
01:02:12,080 --> 01:02:13,720
Speaker 1: anything like that. You got to design it in a

1198
01:02:13,760 --> 01:02:16,360
Speaker 1: way where it's more valuable for what they're actually taking away.

1199
01:02:16,400 --> 01:02:17,800
Speaker 1: But I don't think college has been like that for

1200
01:02:17,840 --> 01:02:19,640
Speaker 1: a long time. I think you have to ask some

1201
01:02:19,720 --> 01:02:22,280
Speaker 1: fundamental questions about what it is you want the student

1202
01:02:22,320 --> 01:02:25,480
Speaker 1: to get out of this experience. And I think the

1203
01:02:25,520 --> 01:02:30,000
Speaker 1: response that professors are having is understandable of saying, Okay, well,

1204
01:02:29,840 --> 01:02:32,240
Speaker 1: we don't want them just cheating and outsourcing THO to

1205
01:02:32,320 --> 01:02:34,120
Speaker 1: chat GPT, so we're going to force them to do

1206
01:02:34,200 --> 01:02:35,880
Speaker 1: in class. We're going to block it from the Wi FI.

1207
01:02:36,240 --> 01:02:39,560
Speaker 1: But I ultimately fundamentally think it's the wrong approach, And

1208
01:02:39,960 --> 01:02:43,000
Speaker 1: you can think about it with regards to like calculators,

1209
01:02:43,360 --> 01:02:45,840
Speaker 1: like calculators to not be a thing, and so it

1210
01:02:45,880 --> 01:02:48,080
Speaker 1: was really important that you know how to work out

1211
01:02:48,120 --> 01:02:52,560
Speaker 1: these long, complex calculations by hand. Now it still matters

1212
01:02:53,000 --> 01:02:55,680
Speaker 1: for young kids to be able to learn the basics

1213
01:02:55,720 --> 01:02:58,760
Speaker 1: of math and numerology and how this all fits together

1214
01:02:59,320 --> 01:03:03,720
Speaker 1: and have some conceptualizing of what these numbers are and

1215
01:03:03,800 --> 01:03:07,080
Speaker 1: what they do. But being able to work down all

1216
01:03:07,080 --> 01:03:10,520
Speaker 1: these long calculations by hand using a calculator isn't cheating

1217
01:03:10,680 --> 01:03:13,440
Speaker 1: if you're ultimately able to get the right answer and

1218
01:03:13,760 --> 01:03:16,960
Speaker 1: enables human performance. So I think it's a similar dynamic

1219
01:03:17,000 --> 01:03:20,360
Speaker 1: here where to try to fight against the technology and

1220
01:03:20,480 --> 01:03:23,360
Speaker 1: block it out is not ultimately going to be the

1221
01:03:23,440 --> 01:03:26,320
Speaker 1: right approach, Nor do I think it's ultimately the most

1222
01:03:26,320 --> 01:03:29,360
Speaker 1: sustainable approach. I think you have to ask yourself, what

1223
01:03:29,520 --> 01:03:32,120
Speaker 1: are the skills that you are trying to get your

1224
01:03:32,120 --> 01:03:35,640
Speaker 1: students to gain, what is going to be relevant in

1225
01:03:35,640 --> 01:03:39,440
Speaker 1: the modern world that they're ultimately entering, and then gear

1226
01:03:39,480 --> 01:03:42,240
Speaker 1: your coursework towards that. So, like I said, I think

1227
01:03:42,240 --> 01:03:46,960
Speaker 1: it's understandable that this is the short term reaction. Long term,

1228
01:03:47,840 --> 01:03:50,360
Speaker 1: they won't be able to sustain it. Bottom line, it's

1229
01:03:50,360 --> 01:03:52,760
Speaker 1: not going to make sense and will evolve and figure

1230
01:03:52,800 --> 01:03:55,440
Speaker 1: out what are those skill sets that are going to

1231
01:03:55,440 --> 01:03:58,760
Speaker 1: continue to be really valuable and where human beings have

1232
01:03:58,880 --> 01:04:02,280
Speaker 1: like uniquely something to add totally, I totally agree with you.

1233
01:04:02,560 --> 01:04:05,280
Speaker 1: All right, guys, we have a little more airline chaos

1234
01:04:05,440 --> 01:04:07,800
Speaker 1: that we wanted to bring you this audio just I mean,

1235
01:04:07,920 --> 01:04:12,560
Speaker 1: it's just really fascinating to listen to because you had

1236
01:04:12,600 --> 01:04:16,240
Speaker 1: a near miss at JFK Airport where air traffic control

1237
01:04:16,280 --> 01:04:19,400
Speaker 1: had to intervene, and we got ahold of the audio

1238
01:04:19,520 --> 01:04:22,160
Speaker 1: and actually someone put together a little animation so you

1239
01:04:22,200 --> 01:04:25,160
Speaker 1: could see where the aircraft, where the planes were as

1240
01:04:25,160 --> 01:04:27,880
Speaker 1: they're getting ready to taxi and take off, so very

1241
01:04:27,920 --> 01:04:30,680
Speaker 1: close to a collision here and they had to intervene.

1242
01:04:30,800 --> 01:04:32,360
Speaker 1: Let's take a listen on how this all went down.

1243
01:04:37,280 --> 01:04:43,240
Speaker 1: American hold decision, Mark WV hold decision, the nineteen forty

1244
01:04:43,240 --> 01:04:46,040
Speaker 1: three cancel take off Finch, So the nineteen forty three

1245
01:04:46,080 --> 01:04:50,880
Speaker 1: cancel take off Finch rejecting, So it's the nineteen forty

1246
01:04:50,920 --> 01:04:54,320
Speaker 1: three Shane tensions. Yeah, we're gonna have to go somewhere,

1247
01:04:54,400 --> 01:04:57,160
Speaker 1: run a couple of cleves, and probably make some vocal

1248
01:04:57,680 --> 01:05:01,800
Speaker 1: so you can hear some cursing there F bomb s bomb,

1249
01:05:01,840 --> 01:05:04,000
Speaker 1: and then they're real close to a collision there right

1250
01:05:04,040 --> 01:05:08,080
Speaker 1: on the runway. And listen. I'm not an aviation expert, however,

1251
01:05:08,120 --> 01:05:10,960
Speaker 1: I've learned a lot this year, but people who you know,

1252
01:05:11,000 --> 01:05:13,919
Speaker 1: where pilots are really familiar with the industry. We're looking

1253
01:05:13,920 --> 01:05:16,840
Speaker 1: at this and saying this is probably pilot error in

1254
01:05:16,960 --> 01:05:19,160
Speaker 1: terms of where this plane was going and where it

1255
01:05:19,240 --> 01:05:20,760
Speaker 1: was supposed to go. But it does raise a lot

1256
01:05:20,760 --> 01:05:23,200
Speaker 1: of questions how often is this happening and how easy

1257
01:05:23,280 --> 01:05:25,480
Speaker 1: is it for those errors to occur? What can we

1258
01:05:25,520 --> 01:05:29,240
Speaker 1: do to sort of mitigate these potential collisions. At the

1259
01:05:29,280 --> 01:05:31,760
Speaker 1: same time, we have some new reporting from our friends

1260
01:05:31,800 --> 01:05:35,120
Speaker 1: over the American Prospect about who exactly is to blame

1261
01:05:35,640 --> 01:05:40,720
Speaker 1: for that ground stoppage caused by a failed computer system.

1262
01:05:41,080 --> 01:05:42,920
Speaker 1: Let's go and put this up on the screen. They

1263
01:05:42,920 --> 01:05:45,280
Speaker 1: do such a good job. The question raised here what

1264
01:05:45,440 --> 01:05:50,120
Speaker 1: was behind last week's FAA breakdown Pete Bodhage's personal choices

1265
01:05:50,440 --> 01:05:55,480
Speaker 1: or certainly a factor. Basically, they go into who is

1266
01:05:55,560 --> 01:06:00,200
Speaker 1: running the FAA and again as a reminder, this whole

1267
01:06:00,240 --> 01:06:02,919
Speaker 1: situation unfolded where they had to have the groundstop because

1268
01:06:02,960 --> 01:06:07,280
Speaker 1: you had a key computer system that was down. So

1269
01:06:07,680 --> 01:06:09,640
Speaker 1: you know, a lot of people in the mainstream press.

1270
01:06:09,640 --> 01:06:11,720
Speaker 1: It wasn't really Pete's fall. What does he have to

1271
01:06:11,720 --> 01:06:15,440
Speaker 1: do with it? But lo and behold his management of

1272
01:06:15,480 --> 01:06:18,439
Speaker 1: the FAA in terms of who which personnel he put

1273
01:06:18,480 --> 01:06:20,640
Speaker 1: in place, could have been a key factor here. The

1274
01:06:20,800 --> 01:06:23,360
Speaker 1: FAA was left for a while with a vacancy at

1275
01:06:23,360 --> 01:06:26,240
Speaker 1: the top for the better part of a year. By statute,

1276
01:06:26,240 --> 01:06:28,400
Speaker 1: the deputy administrator is supposed to carry out the duties

1277
01:06:28,400 --> 01:06:31,000
Speaker 1: of the administration when the office is empty, but that's

1278
01:06:31,040 --> 01:06:34,040
Speaker 1: not how the Department of Transportation under Pete actually handled

1279
01:06:34,040 --> 01:06:38,920
Speaker 1: that vacancy. Instead, they passed over the deputy administrator, Bradley Mims,

1280
01:06:38,920 --> 01:06:42,000
Speaker 1: and instead appointed a dude named Billy Nolan, who was

1281
01:06:42,040 --> 01:06:44,920
Speaker 1: the Associate Administrator for Aviation Safety. So if you're falling along,

1282
01:06:45,120 --> 01:06:47,800
Speaker 1: they had this vacancy. Rather than following protocol of who

1283
01:06:47,840 --> 01:06:50,040
Speaker 1: the position was supposed to be filled by, they jumped

1284
01:06:50,080 --> 01:06:52,800
Speaker 1: to this other dukee. Well why did they do that?

1285
01:06:53,520 --> 01:06:57,200
Speaker 1: According to the piece quote, there's no real explanation for

1286
01:06:57,280 --> 01:07:01,480
Speaker 1: why Nolan was picked over Mimes. Both have decades of experience.

1287
01:07:01,600 --> 01:07:04,880
Speaker 1: The most noticeable difference between them is that Nolan is

1288
01:07:04,920 --> 01:07:09,000
Speaker 1: a former airline executive who also worked at Airlines for America,

1289
01:07:09,080 --> 01:07:12,320
Speaker 1: a powerful trade group. The other one, who should have

1290
01:07:12,400 --> 01:07:14,840
Speaker 1: been in line for the gig, worked in the public

1291
01:07:14,880 --> 01:07:19,440
Speaker 1: sector in advisory roles and largely worked in transportation consulting.

1292
01:07:19,560 --> 01:07:22,880
Speaker 1: So he went to the guy who used to lobby

1293
01:07:22,920 --> 01:07:25,760
Speaker 1: for the airlines to run the FAA. And Is Stoler

1294
01:07:25,800 --> 01:07:29,920
Speaker 1: pointed out, there's long been a really cozy relationship between

1295
01:07:29,920 --> 01:07:33,040
Speaker 1: the FAA and the airline industry. They have not served

1296
01:07:33,080 --> 01:07:38,640
Speaker 1: effectively as regulators and that's part of why potentially there

1297
01:07:38,760 --> 01:07:41,400
Speaker 1: wasn't money in order to rebuild this key system and

1298
01:07:41,480 --> 01:07:44,280
Speaker 1: make sure that we don't didn't have the groundstop that

1299
01:07:44,800 --> 01:07:46,600
Speaker 1: we watch unfold. Yeah, I mean, what I take away

1300
01:07:46,600 --> 01:07:49,200
Speaker 1: from the Prospect piece is Buddhajed just doesn't care that

1301
01:07:49,280 --> 01:07:52,760
Speaker 1: much about his job. He just hires cronies, and when

1302
01:07:52,800 --> 01:07:55,400
Speaker 1: you hire cronies, bad things happen. They specifically point to

1303
01:07:55,440 --> 01:07:58,800
Speaker 1: the fact that FAA has been very reluctant and Buddhajet

1304
01:07:58,880 --> 01:08:01,680
Speaker 1: specifically to take on many of the airlines. And I

1305
01:08:01,680 --> 01:08:03,360
Speaker 1: think we started with the clip to show you like,

1306
01:08:03,440 --> 01:08:05,800
Speaker 1: this is not a joke. You know, people can die

1307
01:08:05,920 --> 01:08:09,440
Speaker 1: one bad one wrong thing, and a lot of people

1308
01:08:09,560 --> 01:08:12,280
Speaker 1: who are totally innocent can lose their lives hundreds of

1309
01:08:12,280 --> 01:08:14,080
Speaker 1: millions of dollars of damage. And clearly this is one

1310
01:08:14,080 --> 01:08:16,160
Speaker 1: of the most critical systems that we use in the

1311
01:08:16,240 --> 01:08:19,679
Speaker 1: United States. It's highly regulated for a reason. Now, look,

1312
01:08:19,760 --> 01:08:22,040
Speaker 1: it is safe. There are of course always going to

1313
01:08:22,120 --> 01:08:24,240
Speaker 1: be missus and human error and all of that. But

1314
01:08:24,280 --> 01:08:27,040
Speaker 1: what they highlight here specifically is that Buddha Judge's lack

1315
01:08:27,439 --> 01:08:30,519
Speaker 1: or basically reluctance to put a strong person into the

1316
01:08:30,600 --> 01:08:33,639
Speaker 1: FAA was a personal choice that he made that has

1317
01:08:33,720 --> 01:08:36,960
Speaker 1: led to much of the airline chaos that we see

1318
01:08:37,040 --> 01:08:38,879
Speaker 1: in our system. You know, I just had somebody contact

1319
01:08:38,880 --> 01:08:42,840
Speaker 1: me yesterday about how Southwest Airlines was only going to

1320
01:08:43,479 --> 01:08:47,960
Speaker 1: reimburse them, like two hundred dollars of the seven hundred

1321
01:08:47,960 --> 01:08:50,559
Speaker 1: dollars that they had spent. Here here's what they said.

1322
01:08:50,560 --> 01:08:52,920
Speaker 1: Southwest canceled three consecutive flights. I had to drive from

1323
01:08:53,040 --> 01:08:55,960
Speaker 1: Chicago to Dallas in a rental after Christmas. Rental cost

1324
01:08:56,080 --> 01:08:58,680
Speaker 1: was over seven hundred dollars. They are only refunding me

1325
01:08:58,720 --> 01:09:02,919
Speaker 1: two hundred and one dollars despite providing receipts. I'm absolutely furious.

1326
01:09:03,120 --> 01:09:07,280
Speaker 1: They destroyed his vacation. Now they're only reimbursing him, you know,

1327
01:09:07,360 --> 01:09:10,160
Speaker 1: two sevens or whatever of the cost or five hundred

1328
01:09:10,400 --> 01:09:12,000
Speaker 1: out of pocket. How many people are going to keep

1329
01:09:12,000 --> 01:09:13,840
Speaker 1: fighting with the airline? You know, after something like that,

1330
01:09:14,040 --> 01:09:16,000
Speaker 1: most people are going to get pissed and then they're

1331
01:09:16,000 --> 01:09:18,080
Speaker 1: going to eat it. And that's not right. Most people

1332
01:09:18,080 --> 01:09:19,479
Speaker 1: in this country, by the way, don't even have five

1333
01:09:19,520 --> 01:09:22,519
Speaker 1: hundred dollars in saving. So how many people out there

1334
01:09:22,560 --> 01:09:25,160
Speaker 1: did this happen to? And the person who is supposed

1335
01:09:25,200 --> 01:09:29,479
Speaker 1: to have their back is pee Bootajidge and he has

1336
01:09:29,560 --> 01:09:33,439
Speaker 1: done next to nothing. They have a great line in here,

1337
01:09:33,479 --> 01:09:36,639
Speaker 1: they say, listen, this system was suffering from neglect, which

1338
01:09:36,680 --> 01:09:39,320
Speaker 1: resulted last week in that mass grounding Budhajije is not

1339
01:09:39,360 --> 01:09:42,800
Speaker 1: directly culpable for that specific failure, but he is responsible

1340
01:09:42,840 --> 01:09:45,559
Speaker 1: for the personnel decisions about who was overseeing the situation.

1341
01:09:45,680 --> 01:09:48,880
Speaker 1: He's also responsible for setting the tone of the interactions

1342
01:09:48,960 --> 01:09:52,400
Speaker 1: between the Department Transportation and an aviation industry that seemingly

1343
01:09:52,439 --> 01:09:57,000
Speaker 1: distributes dividends in a more timely manner than it transports Americans.

1344
01:09:57,520 --> 01:09:59,920
Speaker 1: He doesn't care about the job. He's bad at the job.

1345
01:10:00,240 --> 01:10:02,759
Speaker 1: He has done nothing to hold these airlines to account

1346
01:10:02,760 --> 01:10:04,960
Speaker 1: when they have failed over and over and over again

1347
01:10:05,000 --> 01:10:08,000
Speaker 1: and screwed over their passengers over and over and over again.

1348
01:10:08,520 --> 01:10:11,640
Speaker 1: Has to be the worst cabinet secretary or among the

1349
01:10:11,680 --> 01:10:14,320
Speaker 1: worst cabinet secretaries in the entire Biden ministries. And that's

1350
01:10:14,360 --> 01:10:17,200
Speaker 1: what happens when you use just like nepotism and cronyism

1351
01:10:17,320 --> 01:10:19,720
Speaker 1: to make these key personnel choices. Yeah exactly, I mean,

1352
01:10:19,720 --> 01:10:22,360
Speaker 1: I just think it's totally ridiculous. And we're not saying

1353
01:10:22,360 --> 01:10:26,439
Speaker 1: he's solely responsible. But when you oversee an agency, and

1354
01:10:26,520 --> 01:10:28,720
Speaker 1: you oversee and have one of the you have the

1355
01:10:28,760 --> 01:10:32,920
Speaker 1: biggest ground stop since nine to eleven in modern American history.

1356
01:10:33,000 --> 01:10:37,240
Speaker 1: Two weeks after the biggest airline meltdown in modern memory,

1357
01:10:37,280 --> 01:10:40,719
Speaker 1: and a year after the worst cancellation year in modern

1358
01:10:40,800 --> 01:10:44,479
Speaker 1: history on record, something's eventually got to be your fault

1359
01:10:44,640 --> 01:10:47,160
Speaker 1: for not doing anything about it. And do you see

1360
01:10:47,200 --> 01:10:50,600
Speaker 1: the aggression and the necessity and the urgency that we

1361
01:10:50,640 --> 01:10:52,960
Speaker 1: should need from the man who is solely responsible for

1362
01:10:53,040 --> 01:10:58,800
Speaker 1: running it. I know the answer to that. Indeed, all right, Sager,

1363
01:10:58,840 --> 01:11:00,720
Speaker 1: what are you looking at? Well, there is perhaps no

1364
01:11:00,880 --> 01:11:02,920
Speaker 1: area where Biden has been more feckless than on the

1365
01:11:02,960 --> 01:11:06,200
Speaker 1: issue of TikTok that we've now known for literally years

1366
01:11:06,240 --> 01:11:09,320
Speaker 1: that TikTok is Chinese spyware. It's popular before he took office,

1367
01:11:09,320 --> 01:11:11,240
Speaker 1: for sure, but in the last two years under him,

1368
01:11:11,280 --> 01:11:15,000
Speaker 1: it has absolutely exploded. Trump incompetently attempted to ban that app,

1369
01:11:15,120 --> 01:11:17,559
Speaker 1: did not succeed because he didn't take the government seriously,

1370
01:11:17,840 --> 01:11:21,599
Speaker 1: and Biden's core selling point was returned to normalcy and competence. Obviously,

1371
01:11:21,600 --> 01:11:23,560
Speaker 1: that has been revealed as a farce, especially in the

1372
01:11:23,640 --> 01:11:26,200
Speaker 1: light of his exact same classified document scandal from the

1373
01:11:26,240 --> 01:11:29,760
Speaker 1: previous president. But with TikTok, it might be worse than incompetence.

1374
01:11:29,960 --> 01:11:32,040
Speaker 1: It's both a reluctance to do something that is in

1375
01:11:32,080 --> 01:11:34,400
Speaker 1: the clear interest of America's youth in fear of a

1376
01:11:34,439 --> 01:11:37,679
Speaker 1: temporary backlash and an ongoing weak posture to the CCP.

1377
01:11:38,120 --> 01:11:41,000
Speaker 1: The latest gambit by TikTok is classic in their behavior

1378
01:11:41,080 --> 01:11:44,040
Speaker 1: under the Biden administration. TikTok does not even pretend anymore

1379
01:11:44,040 --> 01:11:46,759
Speaker 1: that they do not answer to Beijing. Their entire selling

1380
01:11:46,760 --> 01:11:49,240
Speaker 1: point to the Biden administration into the West about why

1381
01:11:49,240 --> 01:11:51,439
Speaker 1: it shouldn't be banned is that while yes, they're owned

1382
01:11:51,439 --> 01:11:54,840
Speaker 1: by Beijing, overall, they have all these fake corporate processes

1383
01:11:54,840 --> 01:11:57,759
Speaker 1: in place to make sure Americans data is totally separate.

1384
01:11:58,000 --> 01:12:00,559
Speaker 1: That's why they have a Singapore based CEO. They run

1385
01:12:00,600 --> 01:12:02,840
Speaker 1: their data through Oracle, and the key part of the

1386
01:12:02,840 --> 01:12:04,680
Speaker 1: deal that they appear on the verge of striking with

1387
01:12:04,720 --> 01:12:08,200
Speaker 1: the government allows them to continue operating under Chinese control

1388
01:12:08,800 --> 01:12:11,040
Speaker 1: in exchange is of outlined here many times in the past.

1389
01:12:11,160 --> 01:12:13,800
Speaker 1: Beijing just to keep running the show, we're getting even

1390
01:12:13,880 --> 01:12:17,280
Speaker 1: more contours of what that deal's looking look like. Negotiated

1391
01:12:17,320 --> 01:12:19,680
Speaker 1: in a latest proposal by TikTok, the crux of the

1392
01:12:19,720 --> 01:12:22,639
Speaker 1: plan is effectively to let the US based software company

1393
01:12:22,640 --> 01:12:25,519
Speaker 1: Oracle look at their algorithms on how they choose to

1394
01:12:25,560 --> 01:12:28,600
Speaker 1: serve up videos and how they identify which videos to

1395
01:12:28,640 --> 01:12:32,360
Speaker 1: delete Under the system, quote, third party monitors would also

1396
01:12:32,479 --> 01:12:35,360
Speaker 1: be involved. The third party monitors would then quote check

1397
01:12:35,439 --> 01:12:38,800
Speaker 1: the code for video recommendation algorithms to detect whether it's

1398
01:12:38,800 --> 01:12:41,719
Speaker 1: been manipulated by the Chinese government or other foreign actors

1399
01:12:41,760 --> 01:12:44,519
Speaker 1: who have access. They propose then that if you find

1400
01:12:44,560 --> 01:12:46,880
Speaker 1: such access, you can then flag it. But who do

1401
01:12:46,920 --> 01:12:48,920
Speaker 1: you flag it to. There are a host of other

1402
01:12:49,000 --> 01:12:51,400
Speaker 1: provisions within the deal that are just fake, lots of

1403
01:12:51,439 --> 01:12:53,920
Speaker 1: corporate speak about how the company will be totally separate,

1404
01:12:53,960 --> 01:12:56,920
Speaker 1: and they have all these processes except for one problem

1405
01:12:56,960 --> 01:13:00,719
Speaker 1: buried within the proposal was this, any proposal which TikTok

1406
01:13:00,760 --> 01:13:02,840
Speaker 1: would spin off and put all of its transparency in

1407
01:13:03,040 --> 01:13:05,920
Speaker 1: would literally have to be approved by the Chinese. In

1408
01:13:05,960 --> 01:13:08,479
Speaker 1: other words, they would have to have approval of any

1409
01:13:08,520 --> 01:13:10,639
Speaker 1: deal which is supposed to show how they're not controlled

1410
01:13:10,640 --> 01:13:14,679
Speaker 1: by China to be approved by China. It's farce. Luckily,

1411
01:13:14,680 --> 01:13:17,320
Speaker 1: people are actually beginning to catch on, and even Democrats

1412
01:13:17,320 --> 01:13:20,280
Speaker 1: in Washington cannot deny it anymore. Just a few weeks ago,

1413
01:13:20,320 --> 01:13:23,200
Speaker 1: President Biden signed into law a ban on TikTok for

1414
01:13:23,280 --> 01:13:27,080
Speaker 1: all US government issued cell phones and devices unanisically passed

1415
01:13:27,120 --> 01:13:29,960
Speaker 1: in the United States Senate. It actually specifically came after

1416
01:13:30,040 --> 01:13:33,240
Speaker 1: numerous reports that I have detailed here at nauseum how

1417
01:13:33,240 --> 01:13:36,400
Speaker 1: TikTok employees have pulled data on caesars who report bad

1418
01:13:36,439 --> 01:13:39,040
Speaker 1: things about them, and also how the app was specifically

1419
01:13:39,120 --> 01:13:42,280
Speaker 1: caught spying on American citizens and gathering intense data on

1420
01:13:42,320 --> 01:13:45,400
Speaker 1: them that had no commercial purpose but did have national

1421
01:13:45,400 --> 01:13:48,760
Speaker 1: security implications. The company itself has already admitted it has

1422
01:13:48,880 --> 01:13:53,240
Speaker 1: zero control over its domestic algorithm. One internal example, during

1423
01:13:53,280 --> 01:13:56,080
Speaker 1: the twenty twenty election, a tweak in the algorithm by

1424
01:13:56,120 --> 01:13:59,599
Speaker 1: Beijing reduced the amount of political content getting recommended by

1425
01:13:59,600 --> 01:14:02,120
Speaker 1: a full thirty to forty percent in the United States.

1426
01:14:02,360 --> 01:14:05,120
Speaker 1: Why was that done? Who was suppressed? How can we

1427
01:14:05,160 --> 01:14:07,600
Speaker 1: have any confidence it wasn't done at the behalse of

1428
01:14:07,640 --> 01:14:11,720
Speaker 1: the Chinese government? Obviously we cannot. The federal government banned too,

1429
01:14:11,840 --> 01:14:14,240
Speaker 1: is only the tip of the iceberg. Nearly half the

1430
01:14:14,280 --> 01:14:17,120
Speaker 1: states in the entire country have banned TikTok right now,

1431
01:14:17,280 --> 01:14:21,280
Speaker 1: including those run by Democrats like Wisconsin. In nearly every case,

1432
01:14:21,439 --> 01:14:24,320
Speaker 1: the state government cite the FBI warning of security risks

1433
01:14:24,360 --> 01:14:27,040
Speaker 1: to their devices as well as to their public networks,

1434
01:14:27,240 --> 01:14:30,960
Speaker 1: including now at major public universities across the United States.

1435
01:14:31,120 --> 01:14:34,400
Speaker 1: The momentum is actually moving every single day in this direction.

1436
01:14:34,680 --> 01:14:37,280
Speaker 1: And consider that a year ago, not one state had

1437
01:14:37,320 --> 01:14:40,240
Speaker 1: even banned TikTok. We are now in half. Biden has

1438
01:14:40,280 --> 01:14:43,240
Speaker 1: a choice. He can be the person who will be

1439
01:14:43,320 --> 01:14:46,240
Speaker 1: drug across the finish line well after it has established

1440
01:14:46,240 --> 01:14:49,240
Speaker 1: massive market share like now embedded itself into the socio

1441
01:14:49,240 --> 01:14:52,080
Speaker 1: cultural life of America's youth. Or you can just nip

1442
01:14:52,120 --> 01:14:53,640
Speaker 1: it in the bud and we can all move on.

1443
01:14:53,880 --> 01:14:56,800
Speaker 1: Elon's been talking about bringing back vine. We'll see, maybe

1444
01:14:56,800 --> 01:14:59,360
Speaker 1: that's a solution. In India, where TikTok has been banned

1445
01:14:59,400 --> 01:15:02,000
Speaker 1: for some time now, now clones immediately sprang up and

1446
01:15:02,040 --> 01:15:04,640
Speaker 1: nobody there seems to care at all. The innovation of

1447
01:15:04,680 --> 01:15:08,320
Speaker 1: TikTok is easily replicable. There is zero, I repeat zero

1448
01:15:08,439 --> 01:15:10,639
Speaker 1: reason why we should allow it to be controlled by

1449
01:15:10,640 --> 01:15:12,920
Speaker 1: one of our major adversaries. And I will end to

1450
01:15:13,000 --> 01:15:15,960
Speaker 1: address the most common rebuttal but soager, all social media

1451
01:15:16,000 --> 01:15:18,800
Speaker 1: companies are black holes. What makes this different? First of all,

1452
01:15:18,960 --> 01:15:21,360
Speaker 1: you're not wrong, and I would change that certainly if

1453
01:15:21,400 --> 01:15:24,439
Speaker 1: I could. But the US based social comedia companies as

1454
01:15:24,439 --> 01:15:26,760
Speaker 1: bad as they are, at least they are subject to

1455
01:15:26,880 --> 01:15:29,960
Speaker 1: our laws. We can subpoena them, Our oligarchs can buy

1456
01:15:30,000 --> 01:15:32,679
Speaker 1: them and reveal their secrets. They can tell the government

1457
01:15:32,840 --> 01:15:35,120
Speaker 1: to screw off if they want to, and have many

1458
01:15:35,160 --> 01:15:39,360
Speaker 1: times in China. None of that exists. Their companies, their oligarchs,

1459
01:15:39,400 --> 01:15:43,040
Speaker 1: everything are property of the state, subject entirely to their control.

1460
01:15:43,280 --> 01:15:46,719
Speaker 1: They can ban social media apps specifically because they actually

1461
01:15:46,720 --> 01:15:49,800
Speaker 1: ban ours specifically because they believe we would use them

1462
01:15:49,960 --> 01:15:53,160
Speaker 1: to swing their public opinion. Should we be so naive

1463
01:15:53,160 --> 01:15:55,320
Speaker 1: then to think that they aren't doing the exact same

1464
01:15:55,320 --> 01:15:57,800
Speaker 1: to us, all these deals that don't either force a

1465
01:15:57,920 --> 01:16:01,840
Speaker 1: sale or ban TikTok outright complete and total bs and

1466
01:16:02,000 --> 01:16:04,600
Speaker 1: do not let them or the Biden administration try and

1467
01:16:04,640 --> 01:16:06,400
Speaker 1: tell you otherwise. I feel like I have to do

1468
01:16:06,439 --> 01:16:08,240
Speaker 1: this once a month, because once a month they try

1469
01:16:08,280 --> 01:16:10,839
Speaker 1: their chicanery. And if you want to hear my reaction

1470
01:16:10,880 --> 01:16:14,560
Speaker 1: to Sager's monologue, become a premium subscriber today at Breakingpoints

1471
01:16:14,600 --> 01:16:19,840
Speaker 1: dot com, Crystal, what do you take a look at? Well, guys,

1472
01:16:19,840 --> 01:16:22,400
Speaker 1: I'm tracking a revealing new move from a potential Trump

1473
01:16:22,439 --> 01:16:26,120
Speaker 1: twenty twenty four rival, Virginia Governor Glenn Youngkit. Here are

1474
01:16:26,120 --> 01:16:28,920
Speaker 1: the details. Virginia was apparently in the running to be

1475
01:16:28,960 --> 01:16:32,759
Speaker 1: the new location for a Ford electric battery plant. Needless

1476
01:16:32,800 --> 01:16:35,080
Speaker 1: to say, governors go to great lengths in order to

1477
01:16:35,160 --> 01:16:38,160
Speaker 1: attract these types of jobs into their own states. But

1478
01:16:38,280 --> 01:16:41,280
Speaker 1: here Governor Youngkin has gone in the total opposite direction,

1479
01:16:41,400 --> 01:16:44,280
Speaker 1: in what, at first blush might seem a surprising move.

1480
01:16:44,520 --> 01:16:47,680
Speaker 1: Here's the Washington Post quote. Governor Glenn Youngkin said this

1481
01:16:47,720 --> 01:16:51,080
Speaker 1: week that he had rejected efforts by Ford Motor Company

1482
01:16:51,120 --> 01:16:54,679
Speaker 1: to consider locating an electric battery plant in Virginia over

1483
01:16:54,800 --> 01:17:00,120
Speaker 1: concerns that the automaker's partnership with China created a security risk. Quote.

1484
01:17:00,240 --> 01:17:02,040
Speaker 1: We felt that the right thing to do was to

1485
01:17:02,080 --> 01:17:04,679
Speaker 1: not recruit Ford as a front for China to America,

1486
01:17:04,760 --> 01:17:07,840
Speaker 1: Youngkin said Wednesday night to reporters after delivering his State

1487
01:17:07,880 --> 01:17:11,360
Speaker 1: of the Commonwealth speech to the General Assembly. So basically,

1488
01:17:11,479 --> 01:17:14,439
Speaker 1: here's the backstory. Ford has been ramping up ev production

1489
01:17:14,560 --> 01:17:17,080
Speaker 1: to meet new demand and has a new financial incentive

1490
01:17:17,080 --> 01:17:19,759
Speaker 1: to do so with the passage of the Inflation Reduction Act.

1491
01:17:20,200 --> 01:17:22,880
Speaker 1: One of their partners in bottery production is China based

1492
01:17:22,880 --> 01:17:27,679
Speaker 1: Contemporary Amperrex Technology or CATL now in order to obtain

1493
01:17:27,880 --> 01:17:30,640
Speaker 1: the Inflation Reduction Act credits, though Ford is working on

1494
01:17:30,680 --> 01:17:32,519
Speaker 1: a structure though, put their name on the plant and

1495
01:17:32,520 --> 01:17:34,919
Speaker 1: retain one hundred percent ownership of the building and equipment,

1496
01:17:35,240 --> 01:17:38,040
Speaker 1: but CATL would run the plant and they would own

1497
01:17:38,200 --> 01:17:40,960
Speaker 1: the tech. Now listen, as I just discussed with Sager,

1498
01:17:41,040 --> 01:17:43,040
Speaker 1: I am actually sympathetic to some of the national security

1499
01:17:43,040 --> 01:17:45,919
Speaker 1: concerns around China and key tech, especially with regards to TikTok,

1500
01:17:46,120 --> 01:17:48,599
Speaker 1: But this one seems like a bit of a stretch.

1501
01:17:48,920 --> 01:17:51,840
Speaker 1: With TikTok, there are clear issues around the Chinese government

1502
01:17:51,840 --> 01:17:55,160
Speaker 1: spying on American citizens. In this instance, with Ford, it's

1503
01:17:55,200 --> 01:17:58,000
Speaker 1: a bit harder to see what the real national security

1504
01:17:58,080 --> 01:18:00,880
Speaker 1: risk actually is. First of all, this plan's going to

1505
01:18:00,880 --> 01:18:03,360
Speaker 1: be built either way, whether it's in Michigan or in Virginia.

1506
01:18:03,479 --> 01:18:06,639
Speaker 1: Second of all, this company, c ATL, clearly already knows

1507
01:18:06,640 --> 01:18:08,679
Speaker 1: how to make electric batteries, so it's not like they'd

1508
01:18:08,720 --> 01:18:12,000
Speaker 1: be really gaining any sort of groundbreaking technical expertise that

1509
01:18:12,120 --> 01:18:15,200
Speaker 1: China doesn't already possess, and frankly isn't ahead of the

1510
01:18:15,240 --> 01:18:18,559
Speaker 1: game on us visa our own competence. When pressed on

1511
01:18:18,560 --> 01:18:22,120
Speaker 1: these questions, Youngkin's chief legal counsel offered a world word

1512
01:18:22,200 --> 01:18:26,479
Speaker 1: sale and answer that the battery plan involved quote national

1513
01:18:26,520 --> 01:18:32,280
Speaker 1: security risk type technology, and he stopped that. Real persuasive there, buddy.

1514
01:18:32,600 --> 01:18:35,040
Speaker 1: The truth is the decision to block this factory, which

1515
01:18:35,080 --> 01:18:38,839
Speaker 1: could have provided up to twenty five hundred good jobs

1516
01:18:39,080 --> 01:18:41,840
Speaker 1: in Southside Virginia distress part of the state where people

1517
01:18:41,880 --> 01:18:46,040
Speaker 1: are desperate for solid, middle income income income jobs, makes

1518
01:18:46,160 --> 01:18:48,960
Speaker 1: little sense from a national security perspective, and it makes

1519
01:18:49,040 --> 01:18:51,280
Speaker 1: absolutely no sense at all if you're concerned with your

1520
01:18:51,320 --> 01:18:54,200
Speaker 1: political future in state of Virginia. These types of high

1521
01:18:54,240 --> 01:18:57,880
Speaker 1: profile job creating deals are what gubernatorial approval ratings are

1522
01:18:58,200 --> 01:19:01,320
Speaker 1: made of. But it makes a lot of sense if

1523
01:19:01,360 --> 01:19:03,720
Speaker 1: Young Kin is angling to run for president in a

1524
01:19:03,720 --> 01:19:07,560
Speaker 1: party that is extremely hawkish towards China right now, especially

1525
01:19:07,920 --> 01:19:11,400
Speaker 1: since Youngkin himself ari has a lot of vulnerabilities when

1526
01:19:11,439 --> 01:19:14,120
Speaker 1: it comes to his own business dealings with the nation

1527
01:19:14,240 --> 01:19:16,360
Speaker 1: of China. When you couple that with the fact that

1528
01:19:16,360 --> 01:19:19,000
Speaker 1: the factory would be associated with a Biden passed deal,

1529
01:19:19,040 --> 01:19:22,120
Speaker 1: the Inflation Reduction Act, you can see why politically, Youngkin

1530
01:19:22,200 --> 01:19:24,920
Speaker 1: decided to throw the possibility of twenty five hundred good

1531
01:19:25,000 --> 01:19:28,400
Speaker 1: jobs out the window in order to posture politically. Now,

1532
01:19:28,439 --> 01:19:30,840
Speaker 1: there's another factor here that's relevant as well, which is

1533
01:19:30,840 --> 01:19:33,560
Speaker 1: that Young can seize China as a key political vulnerability

1534
01:19:33,600 --> 01:19:36,720
Speaker 1: given his own business record. Remember, Young Cain became an

1535
01:19:36,760 --> 01:19:40,280
Speaker 1: extremely wealthy man from his time running private equity firm

1536
01:19:40,400 --> 01:19:43,479
Speaker 1: the Carlisle Group, and like all good private equity goals,

1537
01:19:43,720 --> 01:19:47,120
Speaker 1: he became fabulously wealthy by shipping a lot of American

1538
01:19:47,200 --> 01:19:51,919
Speaker 1: jobs overseas. One particularly noteworthy deal from twenty sixteen included

1539
01:19:51,960 --> 01:19:56,240
Speaker 1: buying a controlling stake in the Chinese outsourcing business VXI

1540
01:19:56,360 --> 01:20:00,320
Speaker 1: Global Solutions Business LLC and proceeding to ship that of

1541
01:20:00,360 --> 01:20:04,519
Speaker 1: American jobs to foreign shores. This record obviously opens him

1542
01:20:04,600 --> 01:20:06,640
Speaker 1: up to a devastating attack of the sort that the

1543
01:20:06,680 --> 01:20:09,920
Speaker 1: Obama team used to destroy Mitt Romney, but didn't come

1544
01:20:09,920 --> 01:20:13,320
Speaker 1: on much in his run for governor of Virginia. Why well,

1545
01:20:13,479 --> 01:20:17,360
Speaker 1: because his Democratic opponent Clinton Sickaphan Terry McAuliffe was an

1546
01:20:17,400 --> 01:20:21,719
Speaker 1: investor with Carlile Group himself. But Trump, he's already hinted

1547
01:20:21,720 --> 01:20:24,120
Speaker 1: that he will have no problem attacking Youngkin over his

1548
01:20:24,240 --> 01:20:27,920
Speaker 1: China times tys in what seemed like a bizarre, out

1549
01:20:27,960 --> 01:20:30,800
Speaker 1: of nowhere attack. Trump wrote recently on true social that

1550
01:20:30,880 --> 01:20:34,280
Speaker 1: Young Kin's name quote sounds Chinese. An attack that makes

1551
01:20:34,320 --> 01:20:37,000
Speaker 1: a lot more sense once you know these key pieces

1552
01:20:37,040 --> 01:20:41,479
Speaker 1: about Youngkin's record at Carlisle. Here is that truth from Trump,

1553
01:20:41,560 --> 01:20:45,240
Speaker 1: he said, quote young Kin, Now that's an interesting take.

1554
01:20:45,439 --> 01:20:48,880
Speaker 1: Sounds Chinese, doesn't it. In Virginia, couldn't have won without me.

1555
01:20:49,080 --> 01:20:51,920
Speaker 1: I endorsed him, get a very big Trump rally for him, telephonically,

1556
01:20:51,920 --> 01:20:54,040
Speaker 1: got Maggat to vote for him, or he couldn't have

1557
01:20:54,080 --> 01:20:56,439
Speaker 1: come close to winning. But he knows that and admits it,

1558
01:20:56,479 --> 01:20:58,800
Speaker 1: besides having a hard time with the Dems in Virginia.

1559
01:20:58,880 --> 01:21:02,679
Speaker 1: But he'll get it done. Classic Trump. So basically, Youngkin's

1560
01:21:02,680 --> 01:21:04,479
Speaker 1: move to block this plant really has nothing to do

1561
01:21:04,560 --> 01:21:07,080
Speaker 1: with his concern for national security and everything to do

1562
01:21:07,160 --> 01:21:10,200
Speaker 1: with his concern for his own political career. In fact,

1563
01:21:10,600 --> 01:21:13,320
Speaker 1: in a telling moment, Young Cain even tried to spend

1564
01:21:13,360 --> 01:21:16,439
Speaker 1: his time at Carlisle working with China to outsource American

1565
01:21:16,520 --> 01:21:20,120
Speaker 1: jobs as a positive. He told reporters, quote, I think

1566
01:21:20,160 --> 01:21:23,599
Speaker 1: I'm uniquely positioned to understand how the Chinese Communist Party

1567
01:21:23,640 --> 01:21:26,360
Speaker 1: works because I dealt with it, and I understand what

1568
01:21:26,520 --> 01:21:28,800
Speaker 1: they're doing. I doubt, though, that Trump is going to

1569
01:21:28,840 --> 01:21:31,160
Speaker 1: let him wriggle out of his record as easily as

1570
01:21:31,280 --> 01:21:34,519
Speaker 1: mccauliffe and the Democrats ultimately did. Now, one last thing

1571
01:21:34,560 --> 01:21:36,439
Speaker 1: to note here is how the decision to block a

1572
01:21:36,479 --> 01:21:39,679
Speaker 1: high profile job creating factory reflects the triumph of vibes

1573
01:21:39,680 --> 01:21:43,080
Speaker 1: and aesthetics in politics over any sort of substance in reality.

1574
01:21:43,960 --> 01:21:46,880
Speaker 1: In a sane political world, the judgment of voters in

1575
01:21:46,920 --> 01:21:49,400
Speaker 1: the state you're running would be a thing that matters

1576
01:21:49,479 --> 01:21:52,559
Speaker 1: for national political ambitions. And there is just no doubt

1577
01:21:52,720 --> 01:21:56,080
Speaker 1: that as far as local Virginia voters in rural Virginia

1578
01:21:56,240 --> 01:21:59,719
Speaker 1: are concerned, Youngkin's decision is a terrible move. In fact,

1579
01:22:00,200 --> 01:22:03,719
Speaker 1: right now, over in Kentucky, Governor Andy Basher, who happens

1580
01:22:03,760 --> 01:22:06,040
Speaker 1: to be a Democrat and very red state, has earned

1581
01:22:06,080 --> 01:22:09,280
Speaker 1: one of the highest gubernatorial approval ratings in the entire

1582
01:22:09,600 --> 01:22:14,400
Speaker 1: country off of attracting Ford Battery plants to the Bluegrass state.

1583
01:22:14,640 --> 01:22:17,400
Speaker 1: Basher is literally right now the most popular Democratic governor

1584
01:22:17,439 --> 01:22:19,160
Speaker 1: in the whole country. Again, in spite of the fact

1585
01:22:19,200 --> 01:22:22,240
Speaker 1: that Kentucky has shifted hard read in recent years. That

1586
01:22:22,360 --> 01:22:25,280
Speaker 1: is how powerful this type of job creation can be.

1587
01:22:25,680 --> 01:22:29,320
Speaker 1: He actually, Bashir has the approval of nearly half of

1588
01:22:29,400 --> 01:22:33,439
Speaker 1: all self identified Republicans in the state of Kentucky. But

1589
01:22:33,479 --> 01:22:36,040
Speaker 1: Andy Basheer is trying to get re elected governor, while

1590
01:22:36,040 --> 01:22:39,040
Speaker 1: Glenn Youngkin wants to get elected president, and so instead

1591
01:22:39,080 --> 01:22:41,800
Speaker 1: of delivering for home state voters, Youngkin is delivering for

1592
01:22:41,840 --> 01:22:44,479
Speaker 1: the shallow commentary of Fox News pundits who won't get

1593
01:22:44,520 --> 01:22:47,400
Speaker 1: past a simplistic China bad talking point. Is it going

1594
01:22:47,439 --> 01:22:50,719
Speaker 1: to work well? His reincarnation as a chinahawk, after selling

1595
01:22:50,720 --> 01:22:53,000
Speaker 1: the American people out for fun and profit for years,

1596
01:22:53,240 --> 01:22:56,800
Speaker 1: will not sell a Republican presidential primary. Remember that young

1597
01:22:56,880 --> 01:22:59,120
Speaker 1: Kin basically had the field cleared for him in the

1598
01:22:59,200 --> 01:23:01,760
Speaker 1: Virginia GOP primary, and he was able to walk a

1599
01:23:01,800 --> 01:23:04,880
Speaker 1: careful line on what exactly he thought about Trump and

1600
01:23:05,000 --> 01:23:07,559
Speaker 1: any number of other issues. I don't think this man

1601
01:23:07,600 --> 01:23:10,120
Speaker 1: has any clue what awaits him when he actually has

1602
01:23:10,160 --> 01:23:11,920
Speaker 1: to go toe to toe with Trump and the other

1603
01:23:11,960 --> 01:23:15,080
Speaker 1: Republican would be contenders here, but hey, you never know.

1604
01:23:15,360 --> 01:23:18,599
Speaker 1: Seems pretty clear though he intends to try. So that's

1605
01:23:18,600 --> 01:23:20,960
Speaker 1: a big takeaway digging into this thing. And there was

1606
01:23:21,000 --> 01:23:23,080
Speaker 1: a reporting this morning about exactly and if you want

1607
01:23:23,080 --> 01:23:26,000
Speaker 1: to hear my reaction to Crystal's monologue become a premium

1608
01:23:26,000 --> 01:23:32,200
Speaker 1: subscriber today at breakingpoints dot com, we've been talking a

1609
01:23:32,200 --> 01:23:34,600
Speaker 1: lot about health and fitness and about big food, his

1610
01:23:34,800 --> 01:23:37,720
Speaker 1: influence and his corruption of higher institutions. So we got

1611
01:23:37,720 --> 01:23:40,120
Speaker 1: a great guest standing by Callie Means, he's the co

1612
01:23:40,200 --> 01:23:43,040
Speaker 1: founder of Truemed. Really caught our eye with a viral

1613
01:23:43,040 --> 01:23:47,160
Speaker 1: Twitter thread about how he personally actually helped to lobby

1614
01:23:47,520 --> 01:23:50,320
Speaker 1: the NAACP and other groups in order to try and

1615
01:23:50,360 --> 01:23:54,080
Speaker 1: include sugar subsidies in the food stamp program. Let's put

1616
01:23:54,080 --> 01:23:55,680
Speaker 1: that up there on the screen. I even did a

1617
01:23:55,720 --> 01:23:58,160
Speaker 1: monologue on some of us, but Cali, we wanted to

1618
01:23:58,200 --> 01:24:00,920
Speaker 1: sit and talk with you a bit about this. So

1619
01:24:01,120 --> 01:24:03,720
Speaker 1: first of all, why are you coming forward now? Why

1620
01:24:03,840 --> 01:24:06,320
Speaker 1: is this something that you want to talk about? What

1621
01:24:06,400 --> 01:24:09,840
Speaker 1: has inspired you in order to begin this discussion and

1622
01:24:09,920 --> 01:24:12,439
Speaker 1: to really become a fighter for exposing some of the

1623
01:24:12,680 --> 01:24:15,960
Speaker 1: inequities and inadequacies in our food system right now? In

1624
01:24:16,000 --> 01:24:19,519
Speaker 1: political corruption? Honestly, I had several experiences that I think

1625
01:24:19,520 --> 01:24:21,679
Speaker 1: a lot of Americans deal with a close family member

1626
01:24:22,120 --> 01:24:25,000
Speaker 1: died of cancer and digging into that several years ago,

1627
01:24:25,000 --> 01:24:28,280
Speaker 1: my mother pa greatic cancer is highly tied to blood triguters,

1628
01:24:28,320 --> 01:24:30,200
Speaker 1: regulation highly tied to food. She was one of the

1629
01:24:30,240 --> 01:24:32,719
Speaker 1: fifty percent of Americans who was pre diabetic or diabetic.

1630
01:24:33,280 --> 01:24:37,320
Speaker 1: And when you peel back the onion, diabetes, heart disease, dementia, depression,

1631
01:24:37,800 --> 01:24:40,679
Speaker 1: many of these elements that are hobbling the American people

1632
01:24:40,760 --> 01:24:43,639
Speaker 1: are highly tied to our broken food system. Become very

1633
01:24:43,640 --> 01:24:46,439
Speaker 1: passionate about that issue and working to change that. And

1634
01:24:46,720 --> 01:24:48,960
Speaker 1: that really brought me back early in my career, you know,

1635
01:24:49,000 --> 01:24:51,760
Speaker 1: working in politics, which inevitably leads you to consulting after

1636
01:24:51,800 --> 01:24:54,640
Speaker 1: the campaigns, and sitting around the table with some of

1637
01:24:54,640 --> 01:24:58,040
Speaker 1: these food executives, some of these farm executives, and it

1638
01:24:59,040 --> 01:25:01,320
Speaker 1: brought back some memories I wanted to speak out about

1639
01:25:01,320 --> 01:25:05,000
Speaker 1: because I believe our food system is rigged, and our

1640
01:25:05,080 --> 01:25:08,680
Speaker 1: healthcare system stands buyingprofits from that, they stand silent. I

1641
01:25:08,680 --> 01:25:10,960
Speaker 1: think that's all very well said. Let's just start with

1642
01:25:11,000 --> 01:25:15,639
Speaker 1: the basics. What does research tell us about sugar and

1643
01:25:16,040 --> 01:25:18,680
Speaker 1: the amount of sugar that the typical American consumes and

1644
01:25:18,680 --> 01:25:22,040
Speaker 1: what impact it has on their health. Well, an average

1645
01:25:22,120 --> 01:25:25,880
Speaker 1: child right now is eating one hundred times more sugar

1646
01:25:25,880 --> 01:25:28,920
Speaker 1: than they did one hundred years ago. This is evolutionarily unprecedented,

1647
01:25:29,560 --> 01:25:33,040
Speaker 1: and you know the foundation of our diet and it's

1648
01:25:33,040 --> 01:25:34,560
Speaker 1: really taken me a while to even understand this. We

1649
01:25:34,600 --> 01:25:37,280
Speaker 1: know our diets bad, but the foundation is added sugar.

1650
01:25:37,479 --> 01:25:40,120
Speaker 1: It's processed grains, and processed grains didn't exist until a

1651
01:25:40,160 --> 01:25:42,800
Speaker 1: hundred years ago. The processing totally changes. It takes the

1652
01:25:42,840 --> 01:25:45,679
Speaker 1: fiber off, you know, so it shelf stable, but there's

1653
01:25:45,680 --> 01:25:48,400
Speaker 1: almost no nutritional value. That turns into glucose in the

1654
01:25:48,439 --> 01:25:50,840
Speaker 1: blood as well. It's hidden sugar, so it becomes addictive,

1655
01:25:51,240 --> 01:25:53,439
Speaker 1: you know, and very metabolical and healthy. And then the

1656
01:25:53,479 --> 01:25:56,320
Speaker 1: third thing is seed oils. You look at any label

1657
01:25:56,320 --> 01:25:58,639
Speaker 1: of any food, even if it's organic, healthy food, it's

1658
01:25:58,640 --> 01:26:01,479
Speaker 1: canol oil, soybean oil. These were also invented the last

1659
01:26:01,479 --> 01:26:04,840
Speaker 1: one hundred years, really propped up by grain subsidies and

1660
01:26:04,840 --> 01:26:09,040
Speaker 1: the food subsidies, highly inflammatory, highly processed. So our diet

1661
01:26:09,040 --> 01:26:11,679
Speaker 1: has become much cheaper. We spent about half on food

1662
01:26:11,880 --> 01:26:15,320
Speaker 1: as other developed countries, and you know a lot of

1663
01:26:15,400 --> 01:26:18,160
Speaker 1: processes that are illegal in other countries. You know, this

1664
01:26:18,200 --> 01:26:20,360
Speaker 1: isn't from a free market, it's from a rigg market,

1665
01:26:20,840 --> 01:26:24,120
Speaker 1: and that's leading to twenty five percent childhood pre diabetes.

1666
01:26:24,160 --> 01:26:27,439
Speaker 1: Fifty percent. As I mentioned adult pre diabetes, diabetes, ninety

1667
01:26:27,439 --> 01:26:30,840
Speaker 1: three percent of Americans right now, I've metabolic dysfunction, and

1668
01:26:30,880 --> 01:26:33,599
Speaker 1: that's the basis of disease and why we're seeing an

1669
01:26:33,600 --> 01:26:36,839
Speaker 1: increase in so many conditions, both large like fatigue and depression.

1670
01:26:37,000 --> 01:26:39,040
Speaker 1: You know, twenty five percent of Americans right now are

1671
01:26:39,040 --> 01:26:41,479
Speaker 1: on a mental health health medication, which is just kind

1672
01:26:41,479 --> 01:26:43,919
Speaker 1: of hard to wrap your head around up until increases

1673
01:26:43,920 --> 01:26:46,760
Speaker 1: and you know, heart disease, diabetes, there's things that are

1674
01:26:46,920 --> 01:26:49,920
Speaker 1: actually leading to a lowered life expecdency. For the longest

1675
01:26:49,960 --> 01:26:53,320
Speaker 1: period since eighteen sixty in America, we're actually dramatically seeing

1676
01:26:53,680 --> 01:26:56,280
Speaker 1: you know, life expensing lower right now, which doesn't make

1677
01:26:56,320 --> 01:26:58,760
Speaker 1: any sense. Yes, exactly, and it's like not just a

1678
01:26:58,760 --> 01:27:01,200
Speaker 1: COVID story. It's been happening now quite some time. Been

1679
01:27:01,240 --> 01:27:03,280
Speaker 1: tracking it here for a while. Can you talk specifically

1680
01:27:03,400 --> 01:27:06,880
Speaker 1: about the political machinations that big food used, You know,

1681
01:27:06,920 --> 01:27:10,640
Speaker 1: you can talk specifically about the NAACP example, that was

1682
01:27:10,680 --> 01:27:13,400
Speaker 1: one from quite a while ago, but there's an ongoing

1683
01:27:13,439 --> 01:27:17,080
Speaker 1: problem right now in terms of big food leveraging political

1684
01:27:17,120 --> 01:27:20,600
Speaker 1: conditions to try and create subsidies for government programs and

1685
01:27:20,680 --> 01:27:24,920
Speaker 1: dupe the American public. Yeah, well, I think my experience

1686
01:27:24,960 --> 01:27:27,599
Speaker 1: in twenty twelve really actually ties very well today. So

1687
01:27:27,800 --> 01:27:29,719
Speaker 1: just real quick. The playbook I saw in twenty twelve,

1688
01:27:29,800 --> 01:27:32,160
Speaker 1: as you pointed out a couple of days ago, was

1689
01:27:32,160 --> 01:27:34,160
Speaker 1: there's a three part playbook. We went directly to the

1690
01:27:34,200 --> 01:27:38,000
Speaker 1: NAACP and the Hispanic Federation, very respected civil rights groups,

1691
01:27:38,200 --> 01:27:40,160
Speaker 1: and it was a quid pro quoill Coke paid them

1692
01:27:40,200 --> 01:27:43,240
Speaker 1: millions of dollars and they labeled the opponent's racist. There's

1693
01:27:43,240 --> 01:27:45,360
Speaker 1: a tweet in the New York Times that I that

1694
01:27:45,400 --> 01:27:47,600
Speaker 1: I put out for Contemporary from twenty twelve where I

1695
01:27:47,640 --> 01:27:50,519
Speaker 1: talked about this and that shuts down debate and then

1696
01:27:50,680 --> 01:27:53,360
Speaker 1: conservative think tanks. You know, I grew up conservative, you know,

1697
01:27:54,200 --> 01:27:56,400
Speaker 1: wanting to change the world. I interned at the Heritage Foundation,

1698
01:27:56,479 --> 01:27:58,960
Speaker 1: like a good young conservative does, and I was despondent

1699
01:27:59,000 --> 01:28:01,639
Speaker 1: to see that we would walk in with soda executives,

1700
01:28:01,640 --> 01:28:04,960
Speaker 1: farmer executives the Heritage Foundation and ordering a slanted study

1701
01:28:05,040 --> 01:28:07,760
Speaker 1: was very transactional. And then the most important I think

1702
01:28:07,840 --> 01:28:11,360
Speaker 1: is research institutions coc and processed foods spend eleven times

1703
01:28:11,400 --> 01:28:15,280
Speaker 1: more funding nutrition research than the NIH and that's led

1704
01:28:15,320 --> 01:28:18,320
Speaker 1: to Harvard studies saying sugar doesn't cause obesity that led

1705
01:28:18,320 --> 01:28:21,000
Speaker 1: to the disastrous food pyramid, but it actually ties to

1706
01:28:21,000 --> 01:28:24,040
Speaker 1: today now the pre eminent study from the NIH and

1707
01:28:24,160 --> 01:28:29,280
Speaker 1: Tough Nutrition School, you know, it says that lucky charms

1708
01:28:29,360 --> 01:28:33,240
Speaker 1: are three times more healthy than beef and systemically overrates

1709
01:28:33,439 --> 01:28:36,679
Speaker 1: processed food versus whole food. And that's going into childhood

1710
01:28:36,720 --> 01:28:39,920
Speaker 1: nutrition guidelines today. And I think where this circle is

1711
01:28:40,160 --> 01:28:44,120
Speaker 1: completely finished is you have farmer profiting now. Of course,

1712
01:28:44,160 --> 01:28:47,040
Speaker 1: you have Pharma who in the health industry who said

1713
01:28:47,080 --> 01:28:50,280
Speaker 1: nothing about ten percent of food stamps funding going to

1714
01:28:50,320 --> 01:28:55,360
Speaker 1: diabetes water now pushing the American people to pay for

1715
01:28:55,720 --> 01:29:00,000
Speaker 1: an injection, a weekly miracle obese cure for forty percent

1716
01:29:00,439 --> 01:29:02,920
Speaker 1: of US teams. Forty of teens right now are a

1717
01:29:02,960 --> 01:29:06,280
Speaker 1: beast according to the CDC, and we're being told by

1718
01:29:06,600 --> 01:29:10,080
Speaker 1: all of our elite medical apparatusus that we need to

1719
01:29:10,120 --> 01:29:13,160
Speaker 1: give them this miracle CURL, which is a weekly injection

1720
01:29:13,520 --> 01:29:15,280
Speaker 1: for the rest of their lives. They're not able to

1721
01:29:15,320 --> 01:29:18,040
Speaker 1: stop it. Of course, that won't stop the meeting inflammatory

1722
01:29:18,080 --> 01:29:20,519
Speaker 1: food which damaged theirselves and will inevitably do a lot

1723
01:29:20,520 --> 01:29:24,880
Speaker 1: of other diseases. What do you think our solutions here.

1724
01:29:25,360 --> 01:29:28,000
Speaker 1: I remember back a while ago in New York City,

1725
01:29:28,000 --> 01:29:30,439
Speaker 1: there was an effort, I believe, under Michael Bloomberg to

1726
01:29:30,560 --> 01:29:34,280
Speaker 1: just like ban large vessels of soda, like the big

1727
01:29:34,320 --> 01:29:37,799
Speaker 1: gulp level of soda outright. There was a big public

1728
01:29:37,880 --> 01:29:41,320
Speaker 1: education campaign. They had all these like very provocative sort

1729
01:29:41,360 --> 01:29:44,920
Speaker 1: of ads on the subway and other places showing how

1730
01:29:44,920 --> 01:29:47,920
Speaker 1: bad for you soda ultimately was. But what do you

1731
01:29:48,040 --> 01:29:51,840
Speaker 1: see as a potential solution, because I mean his effort

1732
01:29:51,960 --> 01:29:56,280
Speaker 1: to ban big gulps led to this huge culture war

1733
01:29:56,400 --> 01:29:59,320
Speaker 1: backlash and nanny state conversation and all of that. So

1734
01:29:59,360 --> 01:30:01,320
Speaker 1: do you think that's the right approach or do you

1735
01:30:01,360 --> 01:30:06,240
Speaker 1: have other approaches in mind? No, I listen, our kids

1736
01:30:06,240 --> 01:30:08,680
Speaker 1: are are really interest I think any parents sees that,

1737
01:30:08,760 --> 01:30:11,400
Speaker 1: and and that's why this tweet resonated. Now there's a

1738
01:30:11,400 --> 01:30:13,759
Speaker 1: couple of things that I think are absolutely by no brainers,

1739
01:30:13,760 --> 01:30:15,639
Speaker 1: and I think this is the Bypowerson issue of our time.

1740
01:30:16,040 --> 01:30:18,519
Speaker 1: So first on, not even in the political sphere. I

1741
01:30:18,520 --> 01:30:20,600
Speaker 1: think Bill Lackman, you know, has spoken out about this,

1742
01:30:20,720 --> 01:30:22,479
Speaker 1: retweeted what I what I put, and said, you know,

1743
01:30:22,520 --> 01:30:25,559
Speaker 1: billionaires need to start funding you know, class action lawsuit

1744
01:30:25,600 --> 01:30:27,559
Speaker 1: because you know, the only difference between what the soda

1745
01:30:27,600 --> 01:30:29,599
Speaker 1: companies done and the cigarette companies have done is soda

1746
01:30:29,640 --> 01:30:32,000
Speaker 1: is an order of magnitude worse. I mean, what these

1747
01:30:32,000 --> 01:30:35,640
Speaker 1: companies have knowingly done and the devastation they brought on

1748
01:30:35,960 --> 01:30:38,559
Speaker 1: really just the cells of our of our children, which

1749
01:30:38,560 --> 01:30:40,840
Speaker 1: has led to a mass dysfunction. So I think that's

1750
01:30:40,880 --> 01:30:44,360
Speaker 1: a that's a private sector route. I think you I've

1751
01:30:44,600 --> 01:30:47,679
Speaker 1: interestingly been contacted by members of Congress on the left

1752
01:30:47,720 --> 01:30:49,200
Speaker 1: and the right. I think you have both on the

1753
01:30:49,280 --> 01:30:51,720
Speaker 1: left and the right, this new crop of members of

1754
01:30:51,760 --> 01:30:54,000
Speaker 1: Congress who are arnest tied to special interest, a little

1755
01:30:54,040 --> 01:30:56,759
Speaker 1: bit more on the populist wing, and and they're actually

1756
01:30:56,880 --> 01:30:59,479
Speaker 1: joining the ad Committee and joining, you know, really passionate

1757
01:30:59,479 --> 01:31:01,519
Speaker 1: about this issue and want to call Coke and PEPSI

1758
01:31:01,560 --> 01:31:05,240
Speaker 1: executives in and then before we even talk about taxes,

1759
01:31:05,280 --> 01:31:07,360
Speaker 1: before we talk about bands. I'm actually a libertarian. I

1760
01:31:07,360 --> 01:31:10,000
Speaker 1: think all drugs should be legal, but for most. But

1761
01:31:10,080 --> 01:31:12,160
Speaker 1: I don't think we should be paying tens of billions

1762
01:31:12,160 --> 01:31:14,760
Speaker 1: to stell dollars to subsidize them for kids, which is

1763
01:31:14,800 --> 01:31:17,440
Speaker 1: what we're doing. So let's reform food stamps again. That's

1764
01:31:17,439 --> 01:31:20,120
Speaker 1: a program that fifteen percent of Americans depend on for nutrition.

1765
01:31:20,320 --> 01:31:23,360
Speaker 1: Ten percent of it goes to sugar water. Right, and

1766
01:31:23,439 --> 01:31:25,880
Speaker 1: let's talk about the grain subsidies. The grain substies are

1767
01:31:25,920 --> 01:31:29,200
Speaker 1: the absolutely, I believe, most evil and nonsensical public policy

1768
01:31:29,200 --> 01:31:32,479
Speaker 1: in America. We are subsidizing, right, the grains and the

1769
01:31:32,520 --> 01:31:35,040
Speaker 1: corn which turns into high food to scorn sugar. That's

1770
01:31:35,080 --> 01:31:38,400
Speaker 1: weaponizing our food. That's directly leading to trillions of dollars

1771
01:31:38,439 --> 01:31:41,200
Speaker 1: of downstream medical costs of the the American taxpayer. So it's

1772
01:31:41,720 --> 01:31:43,960
Speaker 1: like we're paying for it and then literally paying trillions

1773
01:31:43,960 --> 01:31:45,439
Speaker 1: of dollars to the point that it's literally going to

1774
01:31:45,479 --> 01:31:47,679
Speaker 1: bankrupt our country. You know, it's twenty percent of healthcare

1775
01:31:47,680 --> 01:31:50,880
Speaker 1: spinning now. But healthcare is the fastest growing and largest

1776
01:31:50,880 --> 01:31:53,320
Speaker 1: industry in the United States and that's not slowing down,

1777
01:31:53,320 --> 01:31:56,040
Speaker 1: and we're subsidizing that. And the last thing, just real

1778
01:31:56,120 --> 01:31:59,040
Speaker 1: quick is we've got to just ask from an incentive perspective.

1779
01:32:00,479 --> 01:32:03,559
Speaker 1: The problem with healthcare is that ninety five percent of

1780
01:32:03,600 --> 01:32:06,840
Speaker 1: costs are interventions on people that are sick. That's how

1781
01:32:06,840 --> 01:32:11,120
Speaker 1: healthcare works right now, every single institution is incentivized for

1782
01:32:11,280 --> 01:32:13,599
Speaker 1: more Americans to be sicker for a longer periods of time. Now,

1783
01:32:13,600 --> 01:32:15,160
Speaker 1: I don't think there are that many evil people in

1784
01:32:15,200 --> 01:32:17,679
Speaker 1: the system, but that's exactly what's happening, and sintif speak,

1785
01:32:17,720 --> 01:32:20,160
Speaker 1: it's larger than any one person. So you know, my

1786
01:32:20,320 --> 01:32:24,160
Speaker 1: company is interested in this. FSAHSSA. These tax free accounts

1787
01:32:24,160 --> 01:32:26,759
Speaker 1: give consumers choice. You can actually use those for healthy

1788
01:32:26,760 --> 01:32:29,880
Speaker 1: food and exercise, which is where we need to get to.

1789
01:32:30,000 --> 01:32:33,320
Speaker 1: We need to actually, you know, subsidize and incentivize with

1790
01:32:33,439 --> 01:32:38,240
Speaker 1: healthcare policy, real root cause cures. So I think reforming

1791
01:32:38,280 --> 01:32:41,680
Speaker 1: and expanding HSA, this consumer choice and steering people to

1792
01:32:42,240 --> 01:32:45,080
Speaker 1: do root cause solutions is very important too. Yeah, well,

1793
01:32:45,080 --> 01:32:47,559
Speaker 1: we really appreciate Joinings Cali is very informative segment and

1794
01:32:47,760 --> 01:32:51,160
Speaker 1: we appreciate it very much. Thanks man, Thanks all lot. Okay, guys,

1795
01:32:51,200 --> 01:32:52,800
Speaker 1: thank you so much for watching. We really appreciate it.

1796
01:32:52,800 --> 01:32:54,640
Speaker 1: We've got a great Counterpoints show for all of you

1797
01:32:54,680 --> 01:32:57,519
Speaker 1: tomorrow than Breaking Points on Thursday. Don't forget about the

1798
01:32:57,560 --> 01:33:00,320
Speaker 1: live show, tickets and all of that, and enjoy the show.

1799
01:33:00,320 --> 01:33:03,200
Speaker 1: It's fun to have Counterpoints on Wednesdays. I like it. Yeah, indeed,

1800
01:33:03,280 --> 01:33:21,200
Speaker 1: love you guys. We'll see you Thursday.