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Speaker 1: Hey, guys, thanks for listening to Breaking Points with Crystal

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Speaker 1: and Sager. We're going to be totally upfront with you.

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Speaker 1: We took a big risk going independent to make this work.

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Speaker 1: We need your support to beat the corporate media CNN, Fox, MSNBC.

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Speaker 1: They are ripping this country apart. They are making millions

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Speaker 1: of dollars doing it to help support our mission of

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Speaker 1: making all of us hate each other, less hate the

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Speaker 1: corrupt ruling class more support the show. Become a Breaking

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Speaker 1: hour early before everyone else. You get to hear our

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Speaker 1: reactions to each other's monologues. You get to participate and

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Speaker 1: weekly ask me any things, and you don't need to

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Speaker 1: hear our annoying voices pitching you like I am right now?

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Speaker 1: So what are you waiting for? Go to Breakingpoints dot

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Speaker 1: com become a Premium member today, which is available in

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Speaker 1: the show notes. Enjoy the show, guys, Good morning, everybody,

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Speaker 1: Happy Tuesday. We have an amazing show for everybody today.

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Speaker 1: What do we have, grissal Indeed, we do lots of

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Speaker 1: updates for you today. We've got an update on what

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Speaker 1: big tech is doing that you may be very concerned about.

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Speaker 1: We're certainly very concerned about it. An update on that

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Speaker 1: Freedom Lay strike workers did ratify a contract. We'll give

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Speaker 1: the details of that. Stephen Donziger, who has been completely

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Speaker 1: persecuted by Chevron. He won that landmark award against the

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Speaker 1: oil giant for polluting the Amazon rainforce, and they've been

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Speaker 1: trying to destroy him ever since. Update in his case,

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Speaker 1: some news about where exactly Trump is spending his money,

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Speaker 1: if he's spending it at all, or whether he's just

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Speaker 1: stockpiling it for a future presidential run rather than say

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Speaker 1: doing anything with it that he promised the people that

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Speaker 1: he raised it from. No surprise is there. But we

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Speaker 1: wanted to start with the absolute obsession with what is

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Speaker 1: going on with the January sixth Commission. Yeah, that's right,

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Speaker 1: and it's interesting. We had a moment yesterday we were

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Speaker 1: planning for the show. Chrystal went to the front page

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Speaker 1: of CNN and every single article was January sixth, January

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Speaker 1: sixth Commission, Adam Kissinger or all of this. And I

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Speaker 1: just can't imagine caring that much about this commission. But

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Speaker 1: the reason that we have to focus on the stories

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Speaker 1: because the ramifications of the derangement around January sixth are

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Speaker 1: now having far reaching consequences into all of our everyday lives,

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Speaker 1: concerns about privacy, and so much more. So, let's put

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Speaker 1: this up there on the screen, which is that Facebook

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Speaker 1: and tech giants are to target attacker manifestos and far

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Speaker 1: right militias in a database. Now, look, there's no sympathy

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Speaker 1: here for attacker manifestos or far right militias. However, the

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Speaker 1: problem here is that what they are saying is that

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Speaker 1: until now, something called the Global Internet Forum to counter

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Speaker 1: Terrorism Database has focused on videos and images from terrorist

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Speaker 1: groups on the United Nations list, namely things like the

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Speaker 1: Islamic State, al Qaeda, and the Taliban. Over the next

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Speaker 1: few months, however, the group is going to add attacker

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Speaker 1: manifestos and others that are flagged by something called the

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Speaker 1: UN Initiative Tech Against Terrorism and will use lists from

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Speaker 1: intelligent sharing groups that are developed by five Eyes. If

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Speaker 1: you don't know what five Eyes is, five Eyes is

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Speaker 1: the intelligent sharing network between the United States and four

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Speaker 1: of its closest allies. Its called the five Eyes Network

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Speaker 1: includes Australia, includes the United Kingdom, but all of that,

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Speaker 1: it goes to show that they are using the firms,

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Speaker 1: including Twitter, including Google, including YouTube, including all of the

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Speaker 1: big tech platforms, and compiling all of this stuff into

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Speaker 1: a single database. And I want you guys to remember

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Speaker 1: that you don't have to have any sympathy for the

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Speaker 1: Proud Boys, or the three percenters or all these people

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Speaker 1: I think you know mostly like terrible people. That being said,

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Speaker 1: there's always a question who gets to define domestic extremism,

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Speaker 1: And in almost all of these cases we have seen

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Speaker 1: the definition continued to be applied in places where it

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Speaker 1: absolutely has no business. There's a huge difference between a

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Speaker 1: bona fide, actual militia member and then some idiot who

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Speaker 1: like tweets something and he doesn't even know or he

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Speaker 1: might recall I did that whole thing on Rising about

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Speaker 1: the Jeopardy contestant, I forget his name, who gave the

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Speaker 1: symbol for three something like this or whatever because he

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Speaker 1: won three games. Yeah, somebody can go ahead and screen

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Speaker 1: grab that. Go go ahead and try and tarm me

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Speaker 1: as a white supremacist. He puts a puts a three

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Speaker 1: handsome up to say he won three games, and then

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Speaker 1: he was denounced as a white supremacist, oathkeeper, sympathizer or something.

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Speaker 1: He's like, I think his name is Kelly something, and

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Speaker 1: he was like, I have no idea what you are

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Speaker 1: talking about. And yet former Jeopardy contestants came out they

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Speaker 1: said he had to apologize, the show had to. This

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Speaker 1: is just continually moving in that direction. And so I

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Speaker 1: think that this database is very troubling. And don't forget

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Speaker 1: it literally includes I mean, Reddit, Snapchat, Instagram, Verizon Media, LinkedIn, Dropbox,

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Speaker 1: I mean almost the entire infrastructure of the modern Internet

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Speaker 1: being used in such a way that domestic extremism and

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Speaker 1: I guess is how it starts. But that definition being

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Speaker 1: up to the United States government, well, we've seen now

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Speaker 1: with the United States government and wants to push that

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Speaker 1: definition in a direction where they can criminalize American cit Well,

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Speaker 1: and keep in mind, guys, this is not like theoretical

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Speaker 1: that the number of people in groups etc. Can be

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Speaker 1: who can rapidly expand remember during the Trump administration, he

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Speaker 1: wanted to tag Antifa and their activity as domestic terrorism.

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Speaker 1: Under the Biden administration, obviously the focuses on these sort

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Speaker 1: of right wing militia groups or white supremacist groups, but

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Speaker 1: you know what it reminded me of Sager that we

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Speaker 1: covered here is jen Zaki made that comment that we're

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Speaker 1: all like wait what the other week where she said

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Speaker 1: that they really needed to figure out why if someone

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Speaker 1: gets banned from one platform, that they really should be

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Speaker 1: banned from all the platforms And I was like, well,

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Speaker 1: that's weird, Like, not only are you having the government

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Speaker 1: involved in who gets banned from what platform, but you

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Speaker 1: also now, if you mess up on one platform, you're

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Speaker 1: going to get banned from all the platforms? How does

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Speaker 1: that even work? And then this database that appears to

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Speaker 1: be how that would work, because that's the whole idea here,

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Speaker 1: is that the companies collaborate through these databases to expose

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Speaker 1: like certain content or certain individuals that they think are

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Speaker 1: posting bad material. And now you add in the layer

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Speaker 1: of five eyes is involved in helping them identify that content,

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Speaker 1: and you have a direct connection between the US government

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Speaker 1: and other governments and all of the tech companies collaborating

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Speaker 1: to define who gets to exist online, who gets to

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Speaker 1: speak online, and who doesn't. And again you can despise

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Speaker 1: three centers and Proud Boys and all of that. I

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Speaker 1: am also not fond of them whatsoever. But you got

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Speaker 1: to be comfortable with If you're comfortable with it under Biden,

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Speaker 1: you also got to be comfortable with it under a

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Speaker 1: Donald Trump administration. And to tie this back to one six,

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Speaker 1: that moment, which was terrible to watch, it was quite

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Speaker 1: shocking to us and to the nation writ large. That

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Speaker 1: is now being used to perpetuate the power of the

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Speaker 1: National security state to further expand their powers. And you

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Speaker 1: see increasing collaboration now between government and between these tech

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Speaker 1: monopolists to control speech on the Internet. That's a very

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Speaker 1: troubling trend that everybody should be paying attention to. No,

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Speaker 1: that's right, and this goes even farther than just speech.

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Speaker 1: They also include Airbnb and Mailchimp. So we're talking about

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Speaker 1: the very infrastructure of the Internet in terms of being

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Speaker 1: able to send email, having file sharing services, being able

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Speaker 1: to book something on Airbnb, YouTube, Twitter, Facebook, even Verizon

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Speaker 1: Media LinkedIn. I mean, it goes up and down the

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Speaker 1: entire chain, you know, of what it means to be

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Speaker 1: an Internet user. And we need to put all of

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Speaker 1: this into perspective. As you said, everyone was horrified by

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Speaker 1: January six. You can go watch our Rising show from

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Speaker 1: January seven and I couldn't believe it. I blamed Trump

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Speaker 1: one hundred percent. It was one of those things where

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Speaker 1: you couldn't even believe what you were seeing. I remember

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Speaker 1: watching it happen, and I was just so angry at

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Speaker 1: so many people who had, you know, played into this

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Speaker 1: conspiracy and just sparked a lot of people, you know,

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Speaker 1: who had nothing better to do, a lot of them

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Speaker 1: were losers, just to go and to storm the capitol.

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Speaker 1: We need to put it in perspective. Though it wasn't

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Speaker 1: nine to eleven, it wasn't something like that. It can

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Speaker 1: be a historical event without being the historical event. And

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Speaker 1: you know, Glenn Greenwald, he put, you know, in this

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Speaker 1: typical way. I think that he put this particularly well.

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Speaker 1: Liberals need one six to be some momentous event because

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Speaker 1: it gives them purpose and vindication. Journalists need it because

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Speaker 1: for many it was the most exciting and scary thing

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Speaker 1: they ever did. The security state loves it because it's

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Speaker 1: what justifies their power and budget. That's really the one

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Speaker 1: acting as if one six was some sort of serious

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Speaker 1: insurrection as pitiful. None of the defendants has been charged

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Speaker 1: with sedition, fomenting insurrection, attempted murder, or anything like that,

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Speaker 1: because it wasn't. It was a protest that turned into

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Speaker 1: a three hour riot. Two of the four people who

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Speaker 1: died on one six were Trump supporters who dropped out

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Speaker 1: of heart attacks. Another was a Trump supporter who died

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Speaker 1: of a speed overdoorse The fourth was an unarmed Trump

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Speaker 1: supporter shot point blank in the neck and still by

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Speaker 1: an armed agent of the state. Babbling over and over

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Speaker 1: about one to six is how Democrats in Congress distract

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Speaker 1: attention from all the things they're not providing, how journalists

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Speaker 1: tried to keep people paying attention, and how the FBI

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Speaker 1: and CIA keeps people scared it will never end for them.

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Speaker 1: And I think that that is exactly and very well

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Speaker 1: said by Glenn because once again you can you can believe,

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Speaker 1: and you can see that what happened on January sixth

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Speaker 1: was terrible. It was an important day in American history.

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Speaker 1: It probably should be an asterisk on Trump for the

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Speaker 1: rest of his life. You can also say it wasn't

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Speaker 1: the most momentous event in modern American history. Yeah, And

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Speaker 1: those two things can and should live side by side,

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Speaker 1: especially in a society. If you really want to move on,

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Speaker 1: if you really want to see you know, make sure

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Speaker 1: that this stuff doesn't happen again. Then let's go and

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Speaker 1: take a look at some of the biggest structural problems

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Speaker 1: in our country that make some crazy people. And you know,

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Speaker 1: I've talked endlessly about the pro public of profile, the

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Speaker 1: Obama voter, the guy who died of a heart attack

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Speaker 1: on January sixth, who lived with they believe it's from

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Speaker 1: Alabama Union person lost his job started, you know, saw

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Speaker 1: hope in Trump had his job shipped to China. Let's

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Speaker 1: talk about that, but nobody seems to want to. I

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Speaker 1: think that's the biggest problem we have. My monologue today

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Speaker 1: is about the fact that because those very conditions that

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Speaker 1: led to Donald Trump have remained unaddressed, we are very

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Speaker 1: likely to either get Donald Trump again, which is a

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Speaker 1: very real possibility, or potentially someone even worse than him.

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Speaker 1: On that point, Glenn's last point about how Democrats love

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Speaker 1: the one sixth Commission and talking about one six because

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Speaker 1: it distracts from everything else that they're not providing to

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Speaker 1: the people. That is really key, and by the way,

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Speaker 1: it's not conjecture. Do you guys remember a little while back,

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Speaker 1: Ryan Graham had this report at the intercept of leaked

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Speaker 1: audio of Joe Manchin talking to billionaire donors, and he

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Speaker 1: told them flat out, Joe Manchin is standing the way

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Speaker 1: of any sort of filibuster reform or change whatever doing

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Speaker 1: that would enable Democrats to do a whole lot more

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Speaker 1: and deliver on a lot more of their promises. He

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Speaker 1: told those donors, Hey, look, why don't you talk to

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Speaker 1: some of these Republicans and tell them to flip their

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Speaker 1: vote on the one sixth Commission, because then I can

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Speaker 1: give something to the base and show them like, oh, look,

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Speaker 1: we don't need filibuster reform, we don't need healthcare, we

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Speaker 1: don't need to do these other things because at least

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Speaker 1: you got your one sixth Commission. Okay, this is blatant.

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Speaker 1: It's been explicitly laid out by Joe Manchin. I promise

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Speaker 1: you he is not the only one who is thinking

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Speaker 1: in these terms. So look, Soccer and I spend almost

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Speaker 1: every show trying to actually talk about the issues that

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Speaker 1: led to an event like one to six, that led

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Speaker 1: to the political system and structure that we have right now.

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Speaker 1: Those are really really important questions. They may be the

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Speaker 1: most important questions facing this country right now. This commission.

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Speaker 1: Everybody in DC knows this is meant to be theater.

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Speaker 1: It's meant to be a messaging tactic. It's meant to

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Speaker 1: be a partisan way to show that Republicans are white

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Speaker 1: supremacist allies, etc. It's all surface level theater. They are

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Speaker 1: not going to uncover one thing that you do not

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Speaker 1: already know about the general contours of what happened on

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Speaker 1: that day. Oh and by the way, one of the

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Speaker 1: things I would actually like to know, which is how

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Speaker 1: many FBI agents were knew like who knew what and

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Speaker 1: who was actually in the building on that day who

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Speaker 1: were actually government agents that they have absolutely no interest

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Speaker 1: or curiosity about whatsoever. And let me further say that

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Speaker 1: if you do genuinely care for earnest reasons, which I

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Speaker 1: think a lot of people do, about this commission and

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Speaker 1: about their findings, you ought to really be outraged about

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Speaker 1: some of the people that they are involving in this commission.

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Speaker 1: If we can put this tear sheet up about the

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Speaker 1: CIA dude, So they pick this guy who was a

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Speaker 1: CIA former CIA inspector General, which already am sort of

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Speaker 1: like my eyebrowser raised. But then an independent report found

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Speaker 1: that this dude retaliated against a whistleblower. So you're the

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Speaker 1: CIA inspector General. You are supposed to be the person

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Speaker 1: that whistleblowers can go to and get protection, and instead,

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Speaker 1: when this whistleblower came to this dude, he retaliated against him,

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Speaker 1: essentially forced him out of the agency, stripped his security clearance,

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Speaker 1: and aggressively went after him and tried to sort of

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Speaker 1: like shame him and expose him as some wrongdoer. Again,

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Speaker 1: this is an independent report publicly reported that this guy

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Speaker 1: directly retaliated against a whistleblower. So, if you are someone

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Speaker 1: who actually cares about this commission getting to some sort

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Speaker 1: of facts and you know, exposing what really went on

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Speaker 1: and the planning and who knew what and when and

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Speaker 1: why they were so unprepared for the day, et cetera,

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Speaker 1: the very dude who should be handling this kind of

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Speaker 1: sensitive information coming in and protecting new whistleblowers with regard

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Speaker 1: to what happened on January sixth, has a documented history

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Speaker 1: of retaliating against these very sorts of courageous people. So

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Speaker 1: I don't know what to tell you. That is an

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Speaker 1: insane choice to me this, you know, only basically Yahoo

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Speaker 1: News even picked up this. This connection and the fact

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Speaker 1: that hey, maybe this guy isn't the right choice for

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Speaker 1: this commission. People should really be outraged about this. Who

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Speaker 1: genuinely care about getting to any answers on the one

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Speaker 1: undred percent? And you know, the first thing we had

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Speaker 1: accidentally showed you Eric ahead and put that Columbia Journalism

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Speaker 1: Review being up on the screen. Look, I wish that

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Speaker 1: you were hearing at least some sort of skepticism from

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Speaker 1: the media. But what we see here Columbia Journalism Review,

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Speaker 1: the gold standard in terms of media critiques, says the

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Speaker 1: absurd coverage of the January sixth committee, And we were like, oh, wow,

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Speaker 1: they actually did something good. But if you read it,

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Speaker 1: it's basically saying that the media has been too what

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Speaker 1: is it too? They have sympathetic to Republicans or not

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Speaker 1: been strong enough in condemning their stallwart, you know, stalling

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Speaker 1: of their stalling of the actual January sixth commission. So

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Speaker 1: their entire thing is that the media is not taking

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Speaker 1: January sixth seriously enough. Hence that's the absurd cover and

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Speaker 1: not taking the Democrats side aggressively enough. Color. I don't

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Speaker 1: doubt that Chuck Todd's coverage of this is moronic whatever

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Speaker 1: he's out there saying he stept off his cringe. But

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Speaker 1: across the board, I did find this amusing because I

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Speaker 1: was like, oh, maybe they're also saying, like, hey guys,

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Speaker 1: there's other stuff going on. No, no, no, they're just

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Speaker 1: saying you're not aggressively like cheerleading hard enough for the

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Speaker 1: Democratic Party, and you're not being hard you're not going

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Speaker 1: all in enough on the January sixth commission. So it's funny.

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Speaker 1: There was one other thing we wanted to show you,

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Speaker 1: which is also revealing for a number of reasons, which

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Speaker 1: is the approval rating of various Republicans who, some of

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Speaker 1: whom are involved in this commission is back and forth

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Speaker 1: and some of whom aren't. We can put that up

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Speaker 1: on the screen. Yeah, so you see here. Most popular

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Speaker 1: favorability you're in the party right now outside of Donald

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Speaker 1: Trump himself is Donald Trump Junior. Depressing Number two is

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Speaker 1: run to Santis. We've seen the way that his star

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Speaker 1: has really risen within the GOP. Kevin McCarthy is plus

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Speaker 1: twenty four two. Things I found really interesting here is

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Speaker 1: the media's other fixation has been Marjorie Taylor Green. There's

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Speaker 1: articles about our segments about her, this one member of

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Speaker 1: Congress every single day, and the whole idea and the

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Speaker 1: reason that the media spinds this narratives. They say, well,

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Speaker 1: she's phenomenally popular among the GOP base, and she's really

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Speaker 1: the future of what the party is going to look like.

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Speaker 1: She's only a plus plus eight, so not nearly as

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Speaker 1: pop even as Kevin McCarthy, who I don't think of

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Speaker 1: as being like a rock star within the party. Put

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Speaker 1: that back up on the screen though. And the other

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Speaker 1: one that's noteworthy here is Liz Cheney, who is on

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Speaker 1: the commission, is at minus forty three. And the thing

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Speaker 1: that we've seen with Liz Cheney and with other of

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Speaker 1: the Republicans who have, you know, decided to be against

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Speaker 1: Trump even as they have terrible policies, almost like completely

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Speaker 1: across the board, Liz Cheney obviously, like all of her

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Speaker 1: politics completely suck, except for this one small area where

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Speaker 1: she's like, we probably shouldn't, you know, like storm the

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Speaker 1: Capitol and lie about the election being Stolen's like the

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Speaker 1: only narrow area of agreement with her. Wildly popular among Democrats, though,

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Speaker 1: same thing with Mett Romney, he said, and you take

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Speaker 1: you way more polar Democrats, and amongst Democrats and Republicans,

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Speaker 1: with Democrats than with Republicans. And it once again just

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Speaker 1: shows you, like the way that Trump has become this

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Speaker 1: singular issue in America where everything else she can be like,

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Speaker 1: you know, a war criminal who was into torturing Iraqis

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Speaker 1: or whatever. And if you were willing to be like,

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Speaker 1: but I don't like Trump, then Democrats will love you,

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Speaker 1: Republicans will hate you, and there you go. Yeah, Trump

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Speaker 1: is the only dividing line in American politics. Kevin McCarthy

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Speaker 1: actually talked about this yesterday. Let's put him up there

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Speaker 1: on the screen. They were asking him. He called both

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Speaker 1: Adam Kissinger and Liz Cheney quote Pelosi Republicans, and I

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Speaker 1: saw a bunch of Hill reporters who were outraged because

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Speaker 1: they're like, does he not know about their conservative voting records?

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Speaker 1: And I was like, you idiots, I'm like, are you

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Speaker 1: still living in like twenty thirteen? There's only one issue

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Speaker 1: amongst Republics, are you with Trump or not? And if

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Speaker 1: you're not, you're basically not in the mainstream of the

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Speaker 1: Republican party. You can just ask me if you want to,

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Speaker 1: if you want to know how that's where going out

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Speaker 1: you're a Pelosi Republican now, cier No, I'm just one

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Speaker 1: of those peopleho can't stand anybody. And what's funny, though,

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Speaker 1: is that the ultimate goal. It's like, are the ultimate tests?

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Speaker 1: Are you with him or not? That's the only test

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Speaker 1: that actually matters. That's not just me saying that. The

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Speaker 1: actual voters are the ones who are saying that, and

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Speaker 1: a lot of people just need to get wise about

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Speaker 1: what the Republican Party is right now. It's about fealty

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Speaker 1: to Trump. If you're not with Trump, then you're out.

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Speaker 1: If you are, then you're in. And I wish it

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Speaker 1: wasn't that way. This is why I don't really defend

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Speaker 1: them or talk about them very much because I don't

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Speaker 1: have a lot of affinity for something that which acts

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Speaker 1: this way. But we have to be very honest about

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Speaker 1: what it is, including the people who are in it,

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Speaker 1: people like Liz Cheney and Adam Kissinger, and then they

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Speaker 1: should just admit it. They're not like, they're not Republicans today.

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Speaker 1: That's just how it is. And Democrats are based the

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Speaker 1: mirror image of that, which is they also are completely

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Speaker 1: defined by Donald Trump, and whether you're with it or

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Speaker 1: against him, and so doesn't matter what Mitt Romney or

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Speaker 1: Liz Cheney or Adam Kinzinger or any of these people,

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Speaker 1: Bill Crystal, any of them, what their actual issue positions

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Speaker 1: or histories, or the horrors that they have brought on

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Speaker 1: American society, none of that matters if they're willing to

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Speaker 1: say the Orange Man is bad. So this is how

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Speaker 1: I mean. Trump has really our political system already really

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Speaker 1: kind of sucked. He made it all so much worse

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Speaker 1: by completely pushing any sort of policy or issue focused

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Speaker 1: differences like the battle of ideas that a democracy is

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Speaker 1: supposed to be all about. It's just become a cult

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Speaker 1: of personality on one side and a cult, like an

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Speaker 1: anti cult of personality on the other side, or however

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Speaker 1: you want to put that. It's very, very sad. Another

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Speaker 1: interesting story with regard to big tech here that our

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Speaker 1: friend Rachel Bovart is highlighting. This is a fascinating story.

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Speaker 1: I've seen some of it bubble up from some of

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Speaker 1: my more Catholic friends. So let's put this up there

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Speaker 1: on the screen. So basically what happened is there was

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Speaker 1: this Catholic priest. Now the Catholic priest's name was Jeffrey Burrell.

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Speaker 1: He resigned his post as General Secretary of the US

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Speaker 1: Conference of Catholic Bishops in the wake of some new reporting.

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Speaker 1: Please keep this up there because I want people to understand.

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Speaker 1: What happened is that there's a Catholic news outlet called

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Speaker 1: The Pillar. Now the Pillar published a pretty bombshell accusation

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Speaker 1: against the priest, mister Jeffrey Burrell, saying that he was

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Speaker 1: using the gay dating app Grinder. And now how they

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Speaker 1: were able to determine this is what our friend Rachel

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Speaker 1: has done some investigation here, and what Rachel found is

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Speaker 1: that the Pillar used and I'm reading quote anonymous geolocation

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Speaker 1: data collected from Grinder to locate, identify, track, and out

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Speaker 1: the priest. Now this is really crazy, because that is

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Speaker 1: what Rachel shows you is that this shows the largely

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Speaker 1: lawless realm of data brokerage, where your minute in minute

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Speaker 1: individual details can be bought, sold, repackaged, and de anonymized

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Speaker 1: by private actors for various ends. So what Rachel points

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Speaker 1: to is that the Pillar, the Catholic news outlet, is

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Speaker 1: not saying how exactly it got this anonymous data, but

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Speaker 1: the likely chain of custody is that the data from

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Speaker 1: Grinder was sold anonymously to a data broker. Then somebody

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Speaker 1: bought the data brokerage. And what you can do is

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Speaker 1: you can cross reference location data from Grinder with other

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Speaker 1: publicly available information that can reveal your identity. So what

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Speaker 1: they did in this particular case, and this is what

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Speaker 1: they wrote, quote, a mobile device correlated to Bureau emitted

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Speaker 1: app data signals from the location based hookup Grinder on

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Speaker 1: a daily basis during parts of twenty eighteen, twenty nineteen,

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Speaker 1: and twenty and twenty, So even though they didn't have

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Speaker 1: his name, they could correlate the data showing that the

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Speaker 1: phone had also been represented at Catholic bishop staff residencies,

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Speaker 1: headquarters meetings attended by Burrell, as well as his family's

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Speaker 1: lake house, the homes of his family members, and at

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Speaker 1: an apartment that listed Burell as a resident. So, in

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Speaker 1: other words, they showed that you can use supposedly anonymous

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Speaker 1: and freely available data to track in individual's movements and

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Speaker 1: reveal their identity. And I think the way that she

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Speaker 1: puts this is really well, which is that basically you

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Speaker 1: are not anonymous, Your data is not anonymous as long

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Speaker 1: as somebody has it out for you and knows how

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Speaker 1: to use a spreadsheet. If you have a decent data

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Speaker 1: science background and you can go and cross reference, and

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Speaker 1: you know somebody's using an app, and you know that

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Speaker 1: you know, based on publicly available information where they live,

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Speaker 1: maybe two or three places where they might be, it's

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Speaker 1: actually not that hard to figure out what exactly is

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Speaker 1: going on. And I mean, no matter how you feel

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Speaker 1: about the priest, I mean, listen, you know it's up

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00:23:59,400 --> 00:24:02,600
Speaker 1: to Catholics police themselves. But what this does show me,

431
00:24:02,720 --> 00:24:05,040
Speaker 1: and what Rachel is pointing to, is that your data

432
00:24:05,280 --> 00:24:09,560
Speaker 1: is not anonymous, even close to how many people in

433
00:24:09,600 --> 00:24:11,880
Speaker 1: big tech are telling you that it is. So that's

434
00:24:11,920 --> 00:24:14,240
Speaker 1: the driving home to it. I wanted to bring into

435
00:24:14,240 --> 00:24:15,359
Speaker 1: all of you because just because I thought it was

436
00:24:15,359 --> 00:24:17,600
Speaker 1: completely insane, so we canna be used this way. I mean,

437
00:24:17,680 --> 00:24:21,080
Speaker 1: imagine how many other different ways. It's a wild story. Honestly,

438
00:24:21,119 --> 00:24:24,640
Speaker 1: I would not have realized that this type of specific

439
00:24:24,800 --> 00:24:28,000
Speaker 1: data would be just available on the open market. I

440
00:24:28,040 --> 00:24:30,960
Speaker 1: think it's really important to point out, like Rachel is Catholic,

441
00:24:31,320 --> 00:24:35,280
Speaker 1: she is, you know, socially conservative on a number of issues,

442
00:24:36,359 --> 00:24:40,879
Speaker 1: but she sees the danger of having this type of

443
00:24:41,000 --> 00:24:45,560
Speaker 1: data just out there for sale. I mean, who wants

444
00:24:45,600 --> 00:24:50,119
Speaker 1: to have all of their private information conversations? You know,

445
00:24:50,200 --> 00:24:53,760
Speaker 1: if you have some kind of embarrassing like weird sex kink,

446
00:24:53,880 --> 00:24:57,359
Speaker 1: or if you have embarrassing medical condition, whatever it is, like,

447
00:24:58,280 --> 00:25:01,840
Speaker 1: do you want all of that to be potentially available

448
00:25:01,920 --> 00:25:04,439
Speaker 1: to the wider world for use, you know, to be

449
00:25:04,520 --> 00:25:07,639
Speaker 1: weaponized against you by sketchy journalistic outlets. I don't know

450
00:25:07,680 --> 00:25:09,600
Speaker 1: anything about the Pillar, whether they're sketchy or not, but

451
00:25:09,640 --> 00:25:11,439
Speaker 1: to me, this is very sketchy thing to engage in.

452
00:25:11,960 --> 00:25:16,080
Speaker 1: So that is really the danger here. And yeah, the

453
00:25:16,119 --> 00:25:18,520
Speaker 1: way that they were able to do this is because

454
00:25:18,560 --> 00:25:22,080
Speaker 1: they got these app data singles signals from Grinder, and

455
00:25:22,080 --> 00:25:24,280
Speaker 1: then they were able to see that that phone was

456
00:25:24,320 --> 00:25:28,040
Speaker 1: going to Burle's family lake house, the homes of his

457
00:25:28,160 --> 00:25:31,160
Speaker 1: family members, an apartment that listed him as a resident,

458
00:25:31,800 --> 00:25:35,880
Speaker 1: to the church staff residences. They were able to say, ah,

459
00:25:36,040 --> 00:25:38,920
Speaker 1: we know who this is. We gotcha, and then write

460
00:25:38,920 --> 00:25:41,520
Speaker 1: the whole thing up. And I mean, really, look, whatever

461
00:25:41,520 --> 00:25:43,920
Speaker 1: you think of this guy, they've definitely destroyed his entire life.

462
00:25:44,080 --> 00:25:46,720
Speaker 1: He's done, he's you know, had to resign, he was

463
00:25:46,840 --> 00:25:49,159
Speaker 1: up for a prominent position, etcetera, etcetera. And look he

464
00:25:49,240 --> 00:25:51,200
Speaker 1: was laid in a double life. Is obviously a hypocrite

465
00:25:51,200 --> 00:25:54,040
Speaker 1: between what he was espousing when he was preaching and

466
00:25:54,080 --> 00:25:56,520
Speaker 1: what he was actually doing with his personal life. But

467
00:25:56,720 --> 00:26:01,560
Speaker 1: the bigger issue here is do you want any blogger,

468
00:26:01,720 --> 00:26:04,879
Speaker 1: news outlet, whoever to be able to have this kind

469
00:26:04,920 --> 00:26:07,680
Speaker 1: of information about you to use against you or even

470
00:26:07,720 --> 00:26:10,000
Speaker 1: more nefarious characters than that. I don't think any of

471
00:26:10,119 --> 00:26:11,560
Speaker 1: us wants to live in that world. And look, I

472
00:26:11,600 --> 00:26:14,560
Speaker 1: would actually defend the pillar. I think that the reporting

473
00:26:14,680 --> 00:26:17,800
Speaker 1: is fine. What I get sketched out by is what

474
00:26:17,920 --> 00:26:20,720
Speaker 1: Rachel points to, which is you don't know if there's

475
00:26:20,760 --> 00:26:23,639
Speaker 1: some anonymous third party with an agenda. Now look, I

476
00:26:23,680 --> 00:26:26,080
Speaker 1: generally err on the side of if it's newsworthy, you

477
00:26:26,119 --> 00:26:29,120
Speaker 1: should publish it. But more what I'm afraid of are

478
00:26:29,480 --> 00:26:31,879
Speaker 1: what did we see in the Harvey Weinstein case? What

479
00:26:31,960 --> 00:26:34,640
Speaker 1: have we seen with these recent NSO leaks? Like there

480
00:26:34,680 --> 00:26:39,040
Speaker 1: are a lot of sketchy private intelligence groups out there who,

481
00:26:39,160 --> 00:26:42,240
Speaker 1: let's say, Exon who were doing or sorry Chevron, who

482
00:26:42,240 --> 00:26:44,040
Speaker 1: we're doing a segment on? Ye, you know, has a

483
00:26:44,080 --> 00:26:46,800
Speaker 1: bone to pick with us. They've got billions of dollars

484
00:26:46,880 --> 00:26:50,200
Speaker 1: they can hire private investigators to go in compile our

485
00:26:50,320 --> 00:26:52,840
Speaker 1: geolocation data, and then they could go sell it to

486
00:26:52,880 --> 00:26:57,040
Speaker 1: some like you know what, mainstream CNN or MSNBC or whatever.

487
00:26:57,200 --> 00:27:00,240
Speaker 1: It's our guts because we talk about their failures, and

488
00:27:00,240 --> 00:27:02,360
Speaker 1: then they could report it on us. I mean, it's

489
00:27:02,400 --> 00:27:04,719
Speaker 1: a free country. Yeah, it can do that. It's more

490
00:27:04,760 --> 00:27:07,240
Speaker 1: about a question of do you want there Do you

491
00:27:07,280 --> 00:27:09,280
Speaker 1: want some private group to be able to do that

492
00:27:09,359 --> 00:27:11,720
Speaker 1: in the first place? And I would say absolutely not.

493
00:27:12,320 --> 00:27:15,960
Speaker 1: Rachel's been talking a lot about data privacy, how Congress

494
00:27:16,000 --> 00:27:19,159
Speaker 1: needs to come in step in and ensure some rights

495
00:27:19,200 --> 00:27:21,560
Speaker 1: for Americans whenever it comes to this. Andrew Yang was

496
00:27:21,600 --> 00:27:23,160
Speaker 1: kind of ahead of his time. He talked a lot

497
00:27:23,160 --> 00:27:25,200
Speaker 1: about this as well. I think this is a perfect

498
00:27:25,240 --> 00:27:28,800
Speaker 1: highlighting situation on how Dystopian. This gets real quickly. Yeah. Well,

499
00:27:28,840 --> 00:27:31,199
Speaker 1: with regard to the pillar, there's no allegation here that

500
00:27:31,280 --> 00:27:33,679
Speaker 1: he was hurting anyone or harming anyone with his actions.

501
00:27:33,760 --> 00:27:36,679
Speaker 1: So to me, the idea that this is newsworthy, I

502
00:27:36,760 --> 00:27:40,679
Speaker 1: just don't see exposing the private details of someone's life

503
00:27:41,160 --> 00:27:43,920
Speaker 1: that are not hurting or harming anyone. I just don't

504
00:27:43,960 --> 00:27:46,080
Speaker 1: see that as newsworthy, is what I would say. Because

505
00:27:46,080 --> 00:27:49,760
Speaker 1: you're right, Look, people publish all kinds of newsworthy information

506
00:27:49,840 --> 00:27:52,600
Speaker 1: that comes drives from all kinds of quote unquote sketchy sources.

507
00:27:52,600 --> 00:27:56,480
Speaker 1: That happens all the time. It's fine to do, but again,

508
00:27:56,720 --> 00:27:59,200
Speaker 1: is a really newsworthy Number one and number two bigger

509
00:27:59,200 --> 00:28:01,960
Speaker 1: issue being this type of data is available in Congress

510
00:28:02,040 --> 00:28:04,640
Speaker 1: is doing absolutely nothing about it. That's where it is. Hey.

511
00:28:04,680 --> 00:28:08,240
Speaker 1: So remember how we told you how awesome premium membership was. Well,

512
00:28:08,280 --> 00:28:10,399
Speaker 1: here we are again to remind you that becoming a

513
00:28:10,440 --> 00:28:13,120
Speaker 1: premium member means you don't have to listen to our

514
00:28:13,160 --> 00:28:16,000
Speaker 1: constant please for you to subscribe. So what are you

515
00:28:16,000 --> 00:28:18,600
Speaker 1: waiting for? Become a premium member today by going to

516
00:28:18,680 --> 00:28:21,040
Speaker 1: Breakingpoints dot com, which you can click on in the

517
00:28:21,040 --> 00:28:24,960
Speaker 1: show notes. Wanted to bring you an update on the

518
00:28:25,000 --> 00:28:28,880
Speaker 1: workers who've been striking at Freedo Lay in Topeka, Kansas

519
00:28:28,920 --> 00:28:30,960
Speaker 1: over the past I think it's been three weeks now.

520
00:28:31,400 --> 00:28:35,159
Speaker 1: They have reached a contract deal. Let me give you

521
00:28:35,200 --> 00:28:39,400
Speaker 1: some of the details here because it's a little tough

522
00:28:39,440 --> 00:28:41,360
Speaker 1: to swallow frankly, I mean, what these workers have been

523
00:28:41,400 --> 00:28:46,240
Speaker 1: protesting on, you guys probably know, is primarily the insane

524
00:28:46,800 --> 00:28:50,600
Speaker 1: work schedules that so many of them have working for

525
00:28:50,800 --> 00:28:55,000
Speaker 1: months on end without a single day off, these shifts

526
00:28:55,040 --> 00:28:58,080
Speaker 1: that they call suicide shifts, where you work twelve hours,

527
00:28:58,720 --> 00:29:00,840
Speaker 1: then you get just eight hours, you have to be

528
00:29:00,920 --> 00:29:02,440
Speaker 1: back in the middle of the night at like three

529
00:29:02,560 --> 00:29:05,520
Speaker 1: am to do the next shift, and again not having

530
00:29:05,520 --> 00:29:07,480
Speaker 1: a choice in this, you're being forced to work these

531
00:29:07,480 --> 00:29:10,560
Speaker 1: overtime hours, You're being forced to come back. People were

532
00:29:10,560 --> 00:29:13,680
Speaker 1: getting divorced. There were reports that some had even committed

533
00:29:13,760 --> 00:29:17,520
Speaker 1: suicide because these type of hours and this type of

534
00:29:17,560 --> 00:29:19,840
Speaker 1: stress on your body. I mean, this just takes a

535
00:29:19,880 --> 00:29:24,120
Speaker 1: toll you cannot even imagine. So that's why hundreds of

536
00:29:24,160 --> 00:29:27,520
Speaker 1: workers at this plant had taken upon themselves to go

537
00:29:27,640 --> 00:29:32,320
Speaker 1: unstrike and demand something approaching humane working conditions. And they

538
00:29:32,360 --> 00:29:34,960
Speaker 1: also said, you know, they haven't really gotten significant pay

539
00:29:35,040 --> 00:29:39,080
Speaker 1: raises in years and years. Meanwhile, Fredo La, which owned

540
00:29:39,080 --> 00:29:44,200
Speaker 1: by Pepsi COO Banner year last year massive amounts of profits,

541
00:29:44,360 --> 00:29:47,560
Speaker 1: their net revenue and the quarter surge twenty percent to

542
00:29:47,720 --> 00:29:50,480
Speaker 1: nineteen point two billion dollars from a year earlier, So

543
00:29:50,800 --> 00:29:52,720
Speaker 1: huge amount of profits coming in and this is how

544
00:29:52,760 --> 00:29:55,600
Speaker 1: they're treating their workers. So in the contract that they

545
00:29:55,680 --> 00:30:00,800
Speaker 1: now have agreed to, it guarantees workers one day off

546
00:30:00,840 --> 00:30:04,920
Speaker 1: a week, one day off a week, and it does

547
00:30:04,960 --> 00:30:09,000
Speaker 1: away with forcing workers to take those suicide ships and

548
00:30:09,080 --> 00:30:13,680
Speaker 1: gives a very small wage increase. Fredo Lay said the

549
00:30:13,680 --> 00:30:16,760
Speaker 1: new two year contract includes a four percent wage increase

550
00:30:17,080 --> 00:30:21,720
Speaker 1: for all job classifications and quote additional opportunities for the

551
00:30:21,800 --> 00:30:24,920
Speaker 1: union to have input into staffing and overtime. New York

552
00:30:24,960 --> 00:30:27,640
Speaker 1: Times and I think we have either tairshooter or tweet

553
00:30:27,640 --> 00:30:29,840
Speaker 1: we can put up there on the screen from Stephen Greenhouse,

554
00:30:29,840 --> 00:30:33,719
Speaker 1: who great reporter over at the New York Times. So

555
00:30:34,600 --> 00:30:37,960
Speaker 1: one warehouse worker that they interviewed for this article, who's

556
00:30:37,960 --> 00:30:40,680
Speaker 1: been at the plant for roughly two decades, said there

557
00:30:40,720 --> 00:30:43,480
Speaker 1: was quote more disappointment than happiness with the contract. The

558
00:30:43,520 --> 00:30:46,640
Speaker 1: man who spoke on the condition of anonymite anonymity fearful

559
00:30:46,640 --> 00:30:49,720
Speaker 1: of retaliation from the company, said many workers who crossed

560
00:30:49,760 --> 00:30:52,600
Speaker 1: the picket line or voted to approve the contract did

561
00:30:52,640 --> 00:30:55,240
Speaker 1: so out of need. Quote A lot of people had

562
00:30:55,240 --> 00:30:58,000
Speaker 1: to vote yes because they were running out of money

563
00:30:58,240 --> 00:31:01,880
Speaker 1: and didn't have insurance. So on the one hand, you

564
00:31:01,960 --> 00:31:04,520
Speaker 1: have to celebrate this took a lot of courage to

565
00:31:04,600 --> 00:31:08,600
Speaker 1: step out to go on strike. They won significant concessions

566
00:31:08,600 --> 00:31:11,160
Speaker 1: that are going to make their lives better, right, it's

567
00:31:11,360 --> 00:31:13,360
Speaker 1: you know, at least you're getting one day off of

568
00:31:13,400 --> 00:31:15,640
Speaker 1: work a week, at least you're not having to do

569
00:31:15,760 --> 00:31:19,840
Speaker 1: those horrific suicide shifts. But my god, the fact that

570
00:31:19,880 --> 00:31:23,800
Speaker 1: you have to go on right for three weeks and

571
00:31:24,120 --> 00:31:26,320
Speaker 1: you know, lose the money that comes from working those

572
00:31:26,400 --> 00:31:28,520
Speaker 1: jobs and really put yourself out there and be fearful

573
00:31:28,520 --> 00:31:31,520
Speaker 1: of retaliation, which these companies do over and over again,

574
00:31:32,160 --> 00:31:35,520
Speaker 1: just to get one day off of work a week.

575
00:31:35,600 --> 00:31:41,240
Speaker 1: And by the way, mandatory overtime still in place. So it's,

576
00:31:41,360 --> 00:31:45,600
Speaker 1: you know, it's a real sad statement on where worker

577
00:31:45,640 --> 00:31:48,719
Speaker 1: power is in this country. And the fact that you know,

578
00:31:48,800 --> 00:31:51,360
Speaker 1: even with winning these concessions, ultimately they were sort of

579
00:31:51,400 --> 00:31:55,240
Speaker 1: forced back in because people just can't go for a

580
00:31:55,280 --> 00:31:58,240
Speaker 1: long period of time without getting paid, without having that

581
00:31:58,280 --> 00:32:01,520
Speaker 1: health insurance, and so the pressure increases and increases and

582
00:32:01,560 --> 00:32:04,480
Speaker 1: increases on the workers themselves until you have to take

583
00:32:04,520 --> 00:32:06,760
Speaker 1: whatever contract deal they're willing to offer you. That's what

584
00:32:06,800 --> 00:32:08,960
Speaker 1: a warehouse worker told The New York Times. You said, quote,

585
00:32:09,000 --> 00:32:10,800
Speaker 1: a lot of people had to vote yes because they're

586
00:32:10,880 --> 00:32:13,200
Speaker 1: run out of money and they didn't have insurance. And

587
00:32:13,600 --> 00:32:16,480
Speaker 1: you could see here that they had not they had

588
00:32:16,520 --> 00:32:18,920
Speaker 1: not had an increase in hourly pay of more than

589
00:32:18,960 --> 00:32:22,120
Speaker 1: twenty to forty cents in the past six to eight years,

590
00:32:22,160 --> 00:32:25,520
Speaker 1: So peg that against inflation, right, I mean, that's just

591
00:32:25,560 --> 00:32:28,840
Speaker 1: completely crazy. And to your point, they said that Pepsi,

592
00:32:28,880 --> 00:32:32,440
Speaker 1: Mountain Dew and Dorito's its net revenue in the quarter

593
00:32:32,600 --> 00:32:37,840
Speaker 1: surged by twenty point five percent to nineteen point two billion,

594
00:32:38,120 --> 00:32:41,880
Speaker 1: and these people had to pick it for twenty days.

595
00:32:42,160 --> 00:32:44,600
Speaker 1: I remember some of them saying that they would have

596
00:32:44,680 --> 00:32:47,320
Speaker 1: rather stood out in the ninety degree heat because it

597
00:32:47,360 --> 00:32:50,640
Speaker 1: was actually cooler than on the factory floor, which doesn't

598
00:32:50,680 --> 00:32:53,880
Speaker 1: have air conditioning. Nothing about that in the contract. And

599
00:32:53,880 --> 00:32:57,200
Speaker 1: there's a video done by more Perfect Union about a

600
00:32:57,200 --> 00:33:02,040
Speaker 1: particular worker there who was electrocuted and was not supported

601
00:33:02,120 --> 00:33:05,400
Speaker 1: whatsoever by this electrocuted on the job. Let's take a listen.

602
00:33:06,080 --> 00:33:07,840
Speaker 1: Let's take a listen. It's a longer video, but I

603
00:33:07,920 --> 00:33:09,920
Speaker 1: want to make sure you guys get all this. Let's go.

604
00:33:11,320 --> 00:33:15,720
Speaker 1: I was I had to call off the next day

605
00:33:16,400 --> 00:33:20,080
Speaker 1: as a sick day. I told you I was in pain.

606
00:33:20,160 --> 00:33:22,680
Speaker 1: I told you it hurts when I walked, And it

607
00:33:22,800 --> 00:33:26,480
Speaker 1: was like, okay, you know, are you going to be

608
00:33:26,520 --> 00:33:30,120
Speaker 1: here tomorrow. I was a site lead, and I know

609
00:33:30,240 --> 00:33:32,880
Speaker 1: what that entails. You're a leadership as the whole warehouse,

610
00:33:32,960 --> 00:33:34,960
Speaker 1: so if you have to fill in, you have to

611
00:33:35,000 --> 00:33:38,320
Speaker 1: fill in. I ask for some type of relief period

612
00:33:38,480 --> 00:33:43,880
Speaker 1: because I was still obligated to work, like picking cases

613
00:33:44,200 --> 00:33:49,160
Speaker 1: and unloading trucks or rotating product on a forklift. I

614
00:33:49,480 --> 00:33:51,360
Speaker 1: asked for a chair that I could probably that I

615
00:33:51,360 --> 00:33:53,880
Speaker 1: could sit in that would make me more comfortable while

616
00:33:53,920 --> 00:33:57,120
Speaker 1: I'm doing my office work. They denied it. You're either

617
00:33:57,160 --> 00:34:00,360
Speaker 1: one hundred percent or you can't work. Fe like they

618
00:34:00,440 --> 00:34:03,680
Speaker 1: was just trying to push me out. Eventually, I got

619
00:34:03,800 --> 00:34:06,600
Speaker 1: and then my ride by my primary doctor and he

620
00:34:06,720 --> 00:34:09,359
Speaker 1: showed that I had two herniated disk in my back

621
00:34:09,640 --> 00:34:12,160
Speaker 1: and he was like, you shouldn't be doing anything. They

622
00:34:12,200 --> 00:34:15,080
Speaker 1: could only fix it with surgery, and my husband still

623
00:34:15,120 --> 00:34:29,040
Speaker 1: had to work this whole entire time. They had to

624
00:34:29,120 --> 00:34:32,279
Speaker 1: remove to the disk in my neck because they were

625
00:34:32,640 --> 00:34:36,200
Speaker 1: bulging into my spinal cord. I wasn't getting enough fluid

626
00:34:36,239 --> 00:34:38,840
Speaker 1: to my brain if I didn't have the surgery. The

627
00:34:38,920 --> 00:34:43,360
Speaker 1: doctor said, any small fall or accident or something like that,

628
00:34:43,440 --> 00:34:45,439
Speaker 1: and I would have been paralyzed from the neck down

629
00:34:45,560 --> 00:34:47,840
Speaker 1: or dead. I still have to have surgery on my

630
00:34:47,920 --> 00:34:51,080
Speaker 1: lower lumbar spine. From the moment that he couldn't work

631
00:34:51,120 --> 00:34:55,280
Speaker 1: anymore and needed short term disability, freidol a abandoned us.

632
00:34:55,520 --> 00:34:58,239
Speaker 1: I had to file for short term disability and then

633
00:34:58,320 --> 00:35:02,000
Speaker 1: long term disability. Approved for long term disability, but that

634
00:35:02,160 --> 00:35:07,319
Speaker 1: was months later, So no income coming in. That's a

635
00:35:07,360 --> 00:35:13,200
Speaker 1: picture of the car. They require you to go to

636
00:35:13,239 --> 00:35:16,440
Speaker 1: the doctor so many times, and the doctor has to

637
00:35:16,480 --> 00:35:19,319
Speaker 1: say that you're in this condition over and over and over.

638
00:35:19,480 --> 00:35:22,919
Speaker 1: But guess what, you don't have any insurance anymore through

639
00:35:22,960 --> 00:35:26,719
Speaker 1: PepsiCo slash Freedo lay because they cut you off. I

640
00:35:26,760 --> 00:35:30,840
Speaker 1: had to pay for that out of pocket too. Didn't

641
00:35:30,880 --> 00:35:33,320
Speaker 1: have the money to do that, so I guess so what.

642
00:35:33,520 --> 00:35:37,400
Speaker 1: I borrowed money or use credit cards or whatever I could.

643
00:35:39,280 --> 00:35:50,680
Speaker 1: I even took money on my kids. Oh man, that's

644
00:35:51,080 --> 00:35:54,640
Speaker 1: I got no words on them. It's thoroughly I mean,

645
00:35:54,719 --> 00:35:57,799
Speaker 1: it's evil, like that's really the word for it. Think

646
00:35:57,840 --> 00:36:01,319
Speaker 1: of how much money Freedom Lasers making. Think of how

647
00:36:01,360 --> 00:36:04,200
Speaker 1: much of his life Brandon, who is by the way,

648
00:36:05,120 --> 00:36:09,399
Speaker 1: military service veteran, who served this country, who was by

649
00:36:09,440 --> 00:36:12,000
Speaker 1: all accounts, you know, incredible worker, at the plan. He

650
00:36:12,120 --> 00:36:15,040
Speaker 1: was a sight lead. Yeah, he was supervisor. Gave so

651
00:36:15,200 --> 00:36:18,239
Speaker 1: much of his life to these people. He gets electrocuted,

652
00:36:18,239 --> 00:36:21,720
Speaker 1: he pushed a button at the loading dock, gets electrocuted,

653
00:36:22,320 --> 00:36:27,719
Speaker 1: is disabled, possibly permanently. And not only do they, you know,

654
00:36:27,760 --> 00:36:31,200
Speaker 1: immediately push him out, cut him off, no help for him,

655
00:36:31,560 --> 00:36:35,439
Speaker 1: no help for the family, but then they actually sent

656
00:36:36,040 --> 00:36:40,680
Speaker 1: spies to track him and his family, his kid's plan,

657
00:36:40,800 --> 00:36:44,680
Speaker 1: his wife doing lawn work, all this recorded and revealed

658
00:36:44,680 --> 00:36:48,319
Speaker 1: through discovery process because Brandon is suing the company now,

659
00:36:49,040 --> 00:36:51,520
Speaker 1: and all to try to prove, oh, he's not really

660
00:36:51,600 --> 00:36:54,160
Speaker 1: as hurt as he says that he is, instead of

661
00:36:54,840 --> 00:36:57,840
Speaker 1: just do what's right, Just do what's right for this family.

662
00:36:57,880 --> 00:37:01,480
Speaker 1: That's it. It's not hard. Instead of trying to prove like, oh,

663
00:37:01,640 --> 00:37:03,800
Speaker 1: we don't really need to pay, it's not really our fault,

664
00:37:04,080 --> 00:37:07,000
Speaker 1: you're not really that hurt. Just I mean, they absolutely

665
00:37:07,000 --> 00:37:12,680
Speaker 1: destroyed this man's life and have done nothing, nothing to

666
00:37:12,760 --> 00:37:16,319
Speaker 1: help him. It's thoroughly unconsgionable. No, it really is. And

667
00:37:16,440 --> 00:37:20,160
Speaker 1: you can just see here where he was denied medical care.

668
00:37:20,960 --> 00:37:23,560
Speaker 1: According to him, he was stocked by company agents just

669
00:37:23,600 --> 00:37:26,600
Speaker 1: to cover our legal basis. Freedo says that that's not true,

670
00:37:27,400 --> 00:37:30,120
Speaker 1: and you know they're all contesting this stuff in court.

671
00:37:30,200 --> 00:37:32,040
Speaker 1: But look, if you want to help this guy out,

672
00:37:32,080 --> 00:37:33,800
Speaker 1: we're going to have a link down there in description

673
00:37:34,239 --> 00:37:36,080
Speaker 1: for him and his wife. They have a gofund me.

674
00:37:36,440 --> 00:37:38,840
Speaker 1: I just checked. They got sixty five thousand out of

675
00:37:38,840 --> 00:37:41,080
Speaker 1: the seventy thousand dollars goal. I'm going to be giving

676
00:37:41,120 --> 00:37:44,000
Speaker 1: some after this video. I encourage you guys all to

677
00:37:44,040 --> 00:37:45,680
Speaker 1: do the same, because we got to step up at

678
00:37:45,760 --> 00:37:47,840
Speaker 1: least for you know, when somebody nobody else can. And

679
00:37:47,840 --> 00:37:50,040
Speaker 1: I'm not saying this is the right system in America. Yes,

680
00:37:50,680 --> 00:37:53,920
Speaker 1: it's disgusting that Brandon and his family would have to

681
00:37:53,960 --> 00:37:59,440
Speaker 1: resort to GoFundMe in wealthy and successful nation like ours,

682
00:38:00,080 --> 00:38:04,480
Speaker 1: that that's the system we have is completely insane, but

683
00:38:04,520 --> 00:38:07,400
Speaker 1: that is the system that we have. So if you're able,

684
00:38:07,680 --> 00:38:12,160
Speaker 1: consider helping out Brandon and his family because they have

685
00:38:12,640 --> 00:38:15,400
Speaker 1: you know, they have suffered so much and they have

686
00:38:15,440 --> 00:38:18,319
Speaker 1: a tough road ahead of them. Still, that's right. We

687
00:38:18,400 --> 00:38:22,800
Speaker 1: have another unconsionable situation I speaking of. Yeah, bring you

688
00:38:22,840 --> 00:38:25,279
Speaker 1: an update on probably a lot of you have been

689
00:38:25,320 --> 00:38:28,120
Speaker 1: following the case of Stephen Donzinger. For those of you

690
00:38:28,160 --> 00:38:31,560
Speaker 1: who haven't. He was the human rights lawyer who won

691
00:38:31,640 --> 00:38:35,760
Speaker 1: a huge award for indigenous people down in Ecuador against Chevron,

692
00:38:35,880 --> 00:38:41,520
Speaker 1: multi billion dollar settlement, quite historic because Chevron polluted the

693
00:38:41,560 --> 00:38:46,480
Speaker 1: Amazon Rainforest. They're destroyed the lives literally of indigenous people

694
00:38:46,520 --> 00:38:50,880
Speaker 1: in this community, massive incidents of cancer, and all their

695
00:38:50,960 --> 00:38:53,680
Speaker 1: land completely ruined. All of that. So, in a very

696
00:38:53,840 --> 00:38:59,120
Speaker 1: very very rare win for indigenous people, Stephen Donzigger is

697
00:38:59,160 --> 00:39:02,400
Speaker 1: part of this case able to win the settlement against Chevron,

698
00:39:02,520 --> 00:39:05,360
Speaker 1: and ever since then they have made it their mission

699
00:39:06,040 --> 00:39:09,879
Speaker 1: to destroy him. They actually had a campaign against him

700
00:39:09,880 --> 00:39:15,360
Speaker 1: that internally was revealed as the Demonized Donzigger campaign, to

701
00:39:15,480 --> 00:39:18,200
Speaker 1: sort of paint him as like some corrupt, horrible person,

702
00:39:18,200 --> 00:39:22,080
Speaker 1: et cetera, et cetera. And unfortunately, the US legal system

703
00:39:22,120 --> 00:39:26,000
Speaker 1: has basically gone along with all of this. So the

704
00:39:26,120 --> 00:39:31,160
Speaker 1: latest situation is he was being charged with contempt for

705
00:39:31,400 --> 00:39:37,040
Speaker 1: some minor discovery dispute between him and Chevron, the type

706
00:39:37,080 --> 00:39:41,279
Speaker 1: of thing that happens between corporations and lawyers all the time,

707
00:39:41,360 --> 00:39:46,320
Speaker 1: this minor discovery dispute. The maximum penalty that has ever

708
00:39:46,560 --> 00:39:50,879
Speaker 1: the maximum sentence that has ever been issued for this

709
00:39:51,080 --> 00:39:55,800
Speaker 1: type of offense is I think two months in prison,

710
00:39:55,960 --> 00:39:58,680
Speaker 1: that's it. Okay, So this is a minor offense. In

711
00:39:58,719 --> 00:40:02,239
Speaker 1: the most extreme case, we're talking about two months in prison. Wow.

712
00:40:03,040 --> 00:40:06,920
Speaker 1: He has been now incarcerated in his home so on

713
00:40:07,080 --> 00:40:12,240
Speaker 1: home arrest for seven hundred and twenty days. The verdict

714
00:40:12,560 --> 00:40:15,759
Speaker 1: just came back in this supposed case, which I'll tell

715
00:40:15,760 --> 00:40:18,240
Speaker 1: you in a minute why it's complete. You know, Chevron

716
00:40:18,320 --> 00:40:23,640
Speaker 1: show trial. He's found guilty, sentenced to six months in

717
00:40:23,680 --> 00:40:28,840
Speaker 1: prison again for contempt. Okay, which even if and you know,

718
00:40:28,960 --> 00:40:31,600
Speaker 1: I think it's pretty flimsy, which Chevron and the court

719
00:40:31,680 --> 00:40:35,840
Speaker 1: is arguing here, but even if they're correct, again, this

720
00:40:36,000 --> 00:40:40,520
Speaker 1: sentence is wildly beyond what has ever been found for

721
00:40:40,680 --> 00:40:44,480
Speaker 1: anyone in a similar circumstance. And oh, by the way,

722
00:40:44,600 --> 00:40:48,360
Speaker 1: the other piece of this is that he was denied

723
00:40:48,360 --> 00:40:52,040
Speaker 1: a jury. The government prosecutor who should have been, you know,

724
00:40:52,080 --> 00:40:54,400
Speaker 1: the one handling the case and going after John Singer.

725
00:40:54,719 --> 00:40:57,359
Speaker 1: They looked at the details and were like we're no, yeah,

726
00:40:57,480 --> 00:41:00,239
Speaker 1: we're not doing We're not doing this whatsoever. So you

727
00:41:00,280 --> 00:41:01,719
Speaker 1: would think that would be the end of the case,

728
00:41:01,719 --> 00:41:07,120
Speaker 1: but no, they got another private prosecutor who happens to

729
00:41:07,200 --> 00:41:11,360
Speaker 1: have all these ties to Chevron to go forward with

730
00:41:11,400 --> 00:41:15,279
Speaker 1: the case. Oh and then the judge who issued this

731
00:41:15,440 --> 00:41:19,000
Speaker 1: ruling and the sentence also happens to be a leader

732
00:41:19,000 --> 00:41:22,239
Speaker 1: in the Federal of Society, which is funded by Chevron.

733
00:41:22,960 --> 00:41:26,040
Speaker 1: So Chevron has their hands in the judicial system at

734
00:41:26,120 --> 00:41:29,560
Speaker 1: every level. With regards to this case. Donzinger is going

735
00:41:29,640 --> 00:41:34,560
Speaker 1: to appeal, But this isn't a completely just blatant, outrageous

736
00:41:34,600 --> 00:41:39,720
Speaker 1: miscarriage of justice. He's effectively a political, corporate political prisoner

737
00:41:39,800 --> 00:41:42,600
Speaker 1: now for more than seven hundred and twenty days. It

738
00:41:42,719 --> 00:41:45,239
Speaker 1: boggles the mind that this goes on. And the last

739
00:41:45,239 --> 00:41:47,440
Speaker 1: thing I'll say is the Biden administration could do something

740
00:41:47,440 --> 00:41:49,760
Speaker 1: about this, but so far they hadn't. Nobody's done anything

741
00:41:49,760 --> 00:41:51,680
Speaker 1: about this. And I just want people to realize that

742
00:41:51,680 --> 00:41:53,960
Speaker 1: the contempt of court charge is one of them is

743
00:41:54,000 --> 00:41:56,560
Speaker 1: refusing to obey a court order to turn over his

744
00:41:56,680 --> 00:42:00,319
Speaker 1: laptop and cell phone his evidence. He says that doing

745
00:42:00,360 --> 00:42:04,279
Speaker 1: so would violate his legal client's privacy. And remember, all

746
00:42:04,320 --> 00:42:07,040
Speaker 1: of the stems from the fact that he secured a

747
00:42:07,280 --> 00:42:13,080
Speaker 1: nine point five billion dollar judgment against Chevron in Ecuador,

748
00:42:13,360 --> 00:42:16,640
Speaker 1: which is still the largest human rights in environmental court

749
00:42:16,719 --> 00:42:21,000
Speaker 1: judgment in history. Now, then a US Court ruled that

750
00:42:21,080 --> 00:42:25,560
Speaker 1: the judgment was unenforceable because it was obtained, according to them,

751
00:42:25,640 --> 00:42:28,839
Speaker 1: by fraud and racketeering. And then all of that stem

752
00:42:28,960 --> 00:42:32,719
Speaker 1: from an investigation into Donziger, who has now lived two

753
00:42:32,800 --> 00:42:36,440
Speaker 1: years under house arrest. So look, I think anybody can

754
00:42:36,480 --> 00:42:39,560
Speaker 1: take a look at this and say that what's happened

755
00:42:39,560 --> 00:42:42,239
Speaker 1: here is pretty ridiculous. The government wasn't even going to

756
00:42:42,280 --> 00:42:45,880
Speaker 1: prosecute him. Private prosecutors were involved. He's been inside locked

757
00:42:45,880 --> 00:42:48,840
Speaker 1: in his house for two years, which is completely nuts

758
00:42:49,000 --> 00:42:51,920
Speaker 1: for a contempt of court case, and still might have

759
00:42:52,040 --> 00:42:55,520
Speaker 1: to serve six months in jail. Now the appeals process

760
00:42:55,520 --> 00:42:57,440
Speaker 1: and all that is going to play itself out, but

761
00:42:57,520 --> 00:42:59,759
Speaker 1: he's still locked up in a New York City, a

762
00:42:59,800 --> 00:43:02,800
Speaker 1: part which he hasn't left in a long time. Mentally,

763
00:43:03,040 --> 00:43:05,640
Speaker 1: that's not such a good place to be. Steven seems

764
00:43:05,680 --> 00:43:07,200
Speaker 1: to be with it. But I can tell you I

765
00:43:07,239 --> 00:43:09,760
Speaker 1: probably wouldn't be if I was missing. I completely agree

766
00:43:09,800 --> 00:43:13,000
Speaker 1: with that, And I mean, just think about this. Chevron

767
00:43:13,600 --> 00:43:18,000
Speaker 1: drove to extinction five different indigenous nations in Ecuador. Okay,

768
00:43:18,120 --> 00:43:22,520
Speaker 1: poison the land gave people cancer. They still haven't paid

769
00:43:23,040 --> 00:43:25,120
Speaker 1: the judgment that was found against them. Yeah. I mean

770
00:43:25,200 --> 00:43:29,880
Speaker 1: there's been no accountability for them and for Steven Donziger,

771
00:43:30,040 --> 00:43:33,000
Speaker 1: who at the very like again, I think the charges

772
00:43:33,000 --> 00:43:35,520
Speaker 1: are completely bogused. But even if you take the most

773
00:43:35,520 --> 00:43:39,120
Speaker 1: malicious reading of it, like failed to turn over his laptop,

774
00:43:39,880 --> 00:43:43,320
Speaker 1: is in prison now for more than two years, potentially

775
00:43:43,320 --> 00:43:47,600
Speaker 1: facing six months more. This is this, It just exposes

776
00:43:47,600 --> 00:43:50,839
Speaker 1: what this is really about. He was able, in this

777
00:43:51,080 --> 00:43:56,560
Speaker 1: very rare instance, to achieve some small modica of accountability

778
00:43:56,560 --> 00:43:58,919
Speaker 1: against one of these oil giants who think that they

779
00:43:59,120 --> 00:44:03,000
Speaker 1: rule the world and they will never forget it, and

780
00:44:03,040 --> 00:44:06,480
Speaker 1: they will do everything they can to make an example

781
00:44:06,520 --> 00:44:09,319
Speaker 1: of him, so that in the future lawyers who think

782
00:44:09,360 --> 00:44:11,680
Speaker 1: about taking this case, they got to look at Stephen

783
00:44:11,719 --> 00:44:14,799
Speaker 1: Donziger and what's you know, what they've done to his life,

784
00:44:14,880 --> 00:44:18,080
Speaker 1: and go do I want that for myself? You know,

785
00:44:18,160 --> 00:44:22,400
Speaker 1: they've already succeeded in their mission of making an example

786
00:44:22,480 --> 00:44:26,799
Speaker 1: of him and creating a deterrent so that other high

787
00:44:26,920 --> 00:44:30,240
Speaker 1: level human rights lawyers won't take on similar cases, won't

788
00:44:30,280 --> 00:44:33,520
Speaker 1: push quite as hard, won't fight quite as aggressively for

789
00:44:33,600 --> 00:44:35,960
Speaker 1: people who have been wronged by these oil giants, and

790
00:44:36,000 --> 00:44:38,399
Speaker 1: those people exist all over this planet. By the way.

791
00:44:38,520 --> 00:44:42,400
Speaker 1: So just an absolute miscarriage of justice. The fact that

792
00:44:42,440 --> 00:44:44,840
Speaker 1: this has been allowed to persist within the American judicial

793
00:44:44,880 --> 00:44:47,560
Speaker 1: system is a disgusting outrage and a crime in and

794
00:44:47,600 --> 00:44:49,600
Speaker 1: of itself. Absolutely, And I hate to do this, but

795
00:44:49,680 --> 00:44:53,279
Speaker 1: to cover our legal basis, Chevron is like, no, we

796
00:44:53,320 --> 00:44:57,240
Speaker 1: didn't do that. And actually Donziger manufactured the evidence. Pressure

797
00:44:57,320 --> 00:45:01,080
Speaker 1: judges and go strit the final judgment case that's up

798
00:45:01,080 --> 00:45:03,440
Speaker 1: for dispute. You can ask Donziger about that if you

799
00:45:03,440 --> 00:45:06,560
Speaker 1: want to. Okay, Okay, all right, I hate to do it. Okay,

800
00:45:06,600 --> 00:45:08,920
Speaker 1: that's great, Thank you Trump. All right, let's put this

801
00:45:09,000 --> 00:45:12,479
Speaker 1: up there on the screen. So Trump's got a new pack.

802
00:45:12,760 --> 00:45:17,279
Speaker 1: It has raised seventy five million dollars this year, but

803
00:45:17,440 --> 00:45:21,320
Speaker 1: so far, the group has not put any money into

804
00:45:21,360 --> 00:45:24,880
Speaker 1: pushing for the twenty twenty ballot reviews that he raised

805
00:45:24,920 --> 00:45:28,000
Speaker 1: the money for. This is from the Washington Post. This

806
00:45:28,160 --> 00:45:31,279
Speaker 1: is chocking. The group has not devoted funds to help

807
00:45:31,320 --> 00:45:35,440
Speaker 1: finance the ongoing ballot review in Arizona or to push

808
00:45:35,680 --> 00:45:38,560
Speaker 1: for similar endeavors in other states. So you guys might

809
00:45:38,600 --> 00:45:40,760
Speaker 1: have heard all about the Arizona audit and then Georgia

810
00:45:40,760 --> 00:45:42,440
Speaker 1: audit and all of a sudden even Trump has been

811
00:45:42,440 --> 00:45:45,080
Speaker 1: talking about it, well, is not helping fund it. So

812
00:45:45,239 --> 00:45:48,399
Speaker 1: instead the Save America Leadership Pack. And by the way,

813
00:45:48,440 --> 00:45:51,279
Speaker 1: these packs, they have basically zero limits on how you

814
00:45:51,280 --> 00:45:54,560
Speaker 1: can spend that money, has paid for some of the

815
00:45:54,600 --> 00:45:59,520
Speaker 1: foreign presidents travel, legal costs, staff, along with expenses, and

816
00:46:00,080 --> 00:46:02,800
Speaker 1: the pack has held onto a lot of its cash.

817
00:46:03,120 --> 00:46:06,040
Speaker 1: So what's very interesting is that I love this sentence.

818
00:46:06,160 --> 00:46:08,879
Speaker 1: Even as he tracks attempts by his allies to cast

819
00:46:08,920 --> 00:46:11,839
Speaker 1: out on the integrity of last year's election, Trump has

820
00:46:11,920 --> 00:46:16,919
Speaker 1: been uninterested in personally bankrolling the efforts, relying on other

821
00:46:17,120 --> 00:46:22,600
Speaker 1: entities and supporters to fund the endeavors. The tactic allows

822
00:46:22,600 --> 00:46:24,960
Speaker 1: Trump to build up a war chess to use in

823
00:46:25,000 --> 00:46:28,560
Speaker 1: the twenty twenty two mid terms on behalf of candidates

824
00:46:28,560 --> 00:46:32,440
Speaker 1: that he favors, and to stockpile cash for another potential

825
00:46:32,680 --> 00:46:37,439
Speaker 1: White House run. So meanwhile, the audit in Arizona, which

826
00:46:37,440 --> 00:46:40,759
Speaker 1: has cost millions of dollars and is being paid for

827
00:46:40,920 --> 00:46:46,239
Speaker 1: primarily by nonprofit entities, mostly funded it seems by Overstock

828
00:46:46,320 --> 00:46:50,880
Speaker 1: CEO or former Overstock CEO Patrick burn a lawsuit and

829
00:46:50,920 --> 00:46:54,880
Speaker 1: seeking a Fulton County has also been financed by small

830
00:46:55,000 --> 00:46:59,960
Speaker 1: dollar donations and he has yet to do anything with it.

831
00:47:00,040 --> 00:47:03,160
Speaker 1: And this is what Pedro Gonzalez we've had on the

832
00:47:03,160 --> 00:47:06,000
Speaker 1: show before. He's a right winger, Okay, he's not some

833
00:47:06,160 --> 00:47:10,240
Speaker 1: never Trump person has pointed out that this is all

834
00:47:10,400 --> 00:47:15,279
Speaker 1: a grift. Is that millions of people believed Trump when

835
00:47:15,320 --> 00:47:18,160
Speaker 1: he said the election was stolen. Now I think that

836
00:47:18,320 --> 00:47:21,200
Speaker 1: isn't true. But those people don't listen to me. They

837
00:47:21,239 --> 00:47:23,840
Speaker 1: listen to Trump. That's their right, it's their money. But

838
00:47:23,960 --> 00:47:28,040
Speaker 1: what bugs me is when he raises millions and millions

839
00:47:28,040 --> 00:47:32,320
Speaker 1: of dollars and then touts all of these audits giving

840
00:47:32,360 --> 00:47:36,479
Speaker 1: them legitimacy, so that people throw money at groups which

841
00:47:36,560 --> 00:47:39,640
Speaker 1: are then funding the audits, and he doesn't put his

842
00:47:39,640 --> 00:47:42,319
Speaker 1: own cash on the line. Will That's how you know

843
00:47:42,360 --> 00:47:45,880
Speaker 1: whether it's real or not, if Trump himself is funding it.

844
00:47:46,160 --> 00:47:50,600
Speaker 1: Otherwise it's all just about ginning up the base and

845
00:47:50,640 --> 00:47:53,839
Speaker 1: all that to continue to keep his claims going and

846
00:47:53,960 --> 00:47:56,600
Speaker 1: money funneling into his pocket so he can use it

847
00:47:56,640 --> 00:47:59,759
Speaker 1: for however he wants. And what's that going to be?

848
00:48:00,160 --> 00:48:03,719
Speaker 1: I mean, you know, campaigning against Liz Cheney in Wyoming,

849
00:48:04,000 --> 00:48:09,040
Speaker 1: campaigning against Lisa Murkowski in Alaska. I think people should

850
00:48:09,040 --> 00:48:13,360
Speaker 1: pay real attention here to what exactly Trump himself is

851
00:48:13,400 --> 00:48:15,839
Speaker 1: spending his money on, and it has nothing to do

852
00:48:16,160 --> 00:48:19,000
Speaker 1: with any of these so called audits that are going on,

853
00:48:19,200 --> 00:48:21,879
Speaker 1: even though that is where the energy of the entire

854
00:48:21,920 --> 00:48:24,720
Speaker 1: base is. It's a total scam. He's running on millions

855
00:48:24,719 --> 00:48:28,719
Speaker 1: of people. Yeah, it really is disgusting, and you know,

856
00:48:28,800 --> 00:48:32,279
Speaker 1: abusing the trust that he has with this large group

857
00:48:32,320 --> 00:48:36,520
Speaker 1: of people who for whatever reason, believed in him, trusted him,

858
00:48:36,760 --> 00:48:41,279
Speaker 1: gravitated towards him, still puts undying faith in him. When

859
00:48:41,320 --> 00:48:44,040
Speaker 1: he says, well, you need money to fight against the

860
00:48:44,080 --> 00:48:47,480
Speaker 1: stolen election, they pony up some of them. You know,

861
00:48:47,480 --> 00:48:49,480
Speaker 1: it's comfortable for them, they can afford. I'm sure there's

862
00:48:49,480 --> 00:48:51,280
Speaker 1: plenty of people who kicked in there ten or twenty

863
00:48:51,280 --> 00:48:53,520
Speaker 1: bucks for whom it was a real stretch to give

864
00:48:53,560 --> 00:48:56,520
Speaker 1: this money as this happens on people's social Security checks

865
00:48:56,520 --> 00:48:59,319
Speaker 1: and stuff. Go toward this stuff and really thought that,

866
00:48:59,440 --> 00:49:01,640
Speaker 1: you know, they'll election was stolen and he's going to

867
00:49:01,800 --> 00:49:04,040
Speaker 1: use this money to make sure we're going to set

868
00:49:04,040 --> 00:49:06,480
Speaker 1: it right. And insteadies using it basically like fly around

869
00:49:06,480 --> 00:49:09,200
Speaker 1: and do with it whatever he wants, stockpilot for a

870
00:49:09,239 --> 00:49:12,640
Speaker 1: future run, or to you know, make his enemies mad

871
00:49:12,719 --> 00:49:15,040
Speaker 1: or embarrass them in the mid term elections. It really

872
00:49:15,160 --> 00:49:20,920
Speaker 1: is disgusting. And the way that he routinely lies to

873
00:49:21,320 --> 00:49:24,399
Speaker 1: his base and takes advantage of the trust that he's

874
00:49:24,440 --> 00:49:26,720
Speaker 1: placed in him is one of the things that really

875
00:49:26,840 --> 00:49:30,200
Speaker 1: discuss me the most about him. Your point about look

876
00:49:30,239 --> 00:49:32,440
Speaker 1: at what they're actually doing with the money rather than

877
00:49:32,440 --> 00:49:34,960
Speaker 1: whatever they're saying, is I think a really apt one.

878
00:49:35,040 --> 00:49:37,800
Speaker 1: It reminds me of when all the stop the steel

879
00:49:37,840 --> 00:49:41,680
Speaker 1: stuff originally happened, and we kept saying, look at the law,

880
00:49:41,800 --> 00:49:44,680
Speaker 1: look at what they're actually doing legally. Forget about the

881
00:49:44,719 --> 00:49:48,480
Speaker 1: press conferences and the tweets and the whatever. Look at

882
00:49:48,480 --> 00:49:51,759
Speaker 1: what they're actually doing with their time. Look at the

883
00:49:51,840 --> 00:49:55,439
Speaker 1: actual lawsuits that they've filed in court and what they

884
00:49:55,520 --> 00:49:59,200
Speaker 1: allege and what they're able to actually prove. Right, look

885
00:49:59,239 --> 00:50:02,640
Speaker 1: at the action versus the Twitter feed. And I feel

886
00:50:02,760 --> 00:50:06,240
Speaker 1: very much the same way here. He does not actually,

887
00:50:06,400 --> 00:50:09,160
Speaker 1: he definitely doesn't believe the election is going to be overturned,

888
00:50:09,480 --> 00:50:13,279
Speaker 1: doesn't believe that the election was stolen. He's using this

889
00:50:13,400 --> 00:50:16,040
Speaker 1: as a rhetorical device to keep people energized so that

890
00:50:16,080 --> 00:50:18,120
Speaker 1: he can run again in twenty twenty four. Yeah, that's

891
00:50:18,160 --> 00:50:20,160
Speaker 1: really what it is. And maybe even not, maybe it's

892
00:50:20,239 --> 00:50:22,560
Speaker 1: just to fund his travel and his political stuff all

893
00:50:22,600 --> 00:50:24,480
Speaker 1: the way up until twenty twenty three and then he's like,

894
00:50:24,480 --> 00:50:26,040
Speaker 1: actually I'm not going to run. But then he's got

895
00:50:26,080 --> 00:50:28,520
Speaker 1: millions of dollars in the bank. He can bankroll whomever

896
00:50:28,520 --> 00:50:30,400
Speaker 1: he wants. Yeah. Well, and you wouldn't be shocked to

897
00:50:30,480 --> 00:50:32,040
Speaker 1: learn that, you know, a lot of this is being

898
00:50:32,040 --> 00:50:35,600
Speaker 1: funneled to consulting companies of this friend or that friend,

899
00:50:35,680 --> 00:50:38,600
Speaker 1: or this child or relative or whatever. Certainly would not

900
00:50:38,640 --> 00:50:40,239
Speaker 1: be the first time that. Wait, there is there not

901
00:50:40,320 --> 00:50:43,440
Speaker 1: a lot of There are not a lot of strictures

902
00:50:43,440 --> 00:50:45,520
Speaker 1: on how he is allowed to spend this money. He

903
00:50:45,560 --> 00:50:49,000
Speaker 1: can basically do whatever he wants. And besides fundraising, just

904
00:50:49,040 --> 00:50:51,000
Speaker 1: so you guys know, if anybody's out there who does

905
00:50:51,040 --> 00:50:53,960
Speaker 1: donate to this stuff, Trump has been renting the massive

906
00:50:54,040 --> 00:50:58,040
Speaker 1: trove of data that is campaign amassed to other candidates

907
00:50:58,280 --> 00:51:02,080
Speaker 1: in exchange for a share of their fundraising revenue, which

908
00:51:02,120 --> 00:51:05,520
Speaker 1: could ultimately prove another valuable cash loow for him. So

909
00:51:05,600 --> 00:51:09,080
Speaker 1: not only is he taking people's money based on fighting

910
00:51:09,160 --> 00:51:11,920
Speaker 1: the election results, but he's then taking your data. So

911
00:51:11,960 --> 00:51:13,840
Speaker 1: he's taking your money and then he's taking your data

912
00:51:14,160 --> 00:51:17,400
Speaker 1: and then renting that out to other candidates who he

913
00:51:17,480 --> 00:51:21,560
Speaker 1: supports in exchange for their fundraising revenue to raise even

914
00:51:21,800 --> 00:51:24,560
Speaker 1: more money. So it's not even one of those cases

915
00:51:24,600 --> 00:51:26,920
Speaker 1: where if you're not paying for it, you are the product.

916
00:51:27,040 --> 00:51:30,160
Speaker 1: You're paying for it and and er the product. He

917
00:51:30,239 --> 00:51:31,880
Speaker 1: did do one good thing though, that I want to

918
00:51:31,880 --> 00:51:35,120
Speaker 1: give him credit. Oh yeah, said I don't know if

919
00:51:35,120 --> 00:51:38,040
Speaker 1: you remember this. Ken Clevenstein, of course, pointed this sound

920
00:51:38,080 --> 00:51:43,880
Speaker 1: on Twitter. George P. Bush. Oh, he like embarrassed himself.

921
00:51:43,920 --> 00:51:46,360
Speaker 1: If you're like, my family may hate Trump, but I

922
00:51:46,440 --> 00:51:50,600
Speaker 1: love Trump. I have unyielding loyalty to him. While Trump

923
00:51:50,680 --> 00:51:54,360
Speaker 1: just endorsed against him in history for Texas, ag endorsed

924
00:51:54,400 --> 00:51:56,880
Speaker 1: Ken Paxson. Now that I like Ken Paxson either, But

925
00:51:58,080 --> 00:52:00,360
Speaker 1: as Ken pointed out, his one redeeming quality is how

926
00:52:00,400 --> 00:52:03,400
Speaker 1: much he loves He despises the Bush dynasty to the

927
00:52:03,440 --> 00:52:05,920
Speaker 1: bitter end. That's true. That is well, and that is

928
00:52:05,960 --> 00:52:08,520
Speaker 1: the thing with him is like I do think a

929
00:52:08,560 --> 00:52:10,840
Speaker 1: big part of why people like him is because he

930
00:52:10,960 --> 00:52:13,799
Speaker 1: hates all of the right people. There's a lot of

931
00:52:13,840 --> 00:52:16,680
Speaker 1: power in that and drives them absolutely crazy. The bad

932
00:52:16,719 --> 00:52:19,840
Speaker 1: thing is that the very people that you know he

933
00:52:19,960 --> 00:52:22,440
Speaker 1: goes after the most aggressively. Those are also the people

934
00:52:22,440 --> 00:52:26,160
Speaker 1: who became the most prominent and got the most money

935
00:52:26,320 --> 00:52:30,440
Speaker 1: and accumulated the most power during his presidency. So it

936
00:52:30,480 --> 00:52:32,880
Speaker 1: may feel good to see him throwing those bombs of people.

937
00:52:32,960 --> 00:52:36,400
Speaker 1: I enjoy it myself occasionally, but the reality is that's

938
00:52:36,440 --> 00:52:38,759
Speaker 1: had the exact opposite effect that you would actually want

939
00:52:38,760 --> 00:52:41,400
Speaker 1: it to. Yeah, I really just it makes me sad.

940
00:52:41,520 --> 00:52:43,640
Speaker 1: It makes me upset too. I remember I've talked about

941
00:52:43,680 --> 00:52:46,560
Speaker 1: it before, about this. Uh, this is when Limbaugh was

942
00:52:46,600 --> 00:52:49,760
Speaker 1: still alive. It was around like January before January sixth,

943
00:52:50,120 --> 00:52:52,719
Speaker 1: and there was this guy called into a show. He

944
00:52:52,800 --> 00:52:54,480
Speaker 1: was like in tears and he's like, I would die

945
00:52:54,520 --> 00:52:57,640
Speaker 1: for Trump. He's like, why aren't these Republicans doing anything?

946
00:52:57,680 --> 00:53:00,520
Speaker 1: Like this election was stolen from him? And he's like,

947
00:53:00,560 --> 00:53:03,120
Speaker 1: I've been putting all my money's and he literally is

948
00:53:03,160 --> 00:53:06,040
Speaker 1: like breaking down an emotional breakdown. He can make fun

949
00:53:06,080 --> 00:53:08,240
Speaker 1: of him if you want to. I choose to see

950
00:53:08,280 --> 00:53:13,640
Speaker 1: like person alienated from society old maybe believes only Trump

951
00:53:13,960 --> 00:53:17,160
Speaker 1: for somebody else, And in that situation, Trump is the

952
00:53:17,160 --> 00:53:20,360
Speaker 1: one to blame, right and Limbaugh frankly for pushing some

953
00:53:20,480 --> 00:53:23,520
Speaker 1: of this stuff and allowing that, and that's what causes

954
00:53:23,600 --> 00:53:26,680
Speaker 1: this mass flow of Social Security cash all the way

955
00:53:26,680 --> 00:53:29,360
Speaker 1: into the Trump campaign, coffers. And if you believe the

956
00:53:29,400 --> 00:53:31,799
Speaker 1: election was stolen. If you believe that, would you not

957
00:53:31,960 --> 00:53:34,840
Speaker 1: want Trump then to be fighting all out and funding

958
00:53:34,880 --> 00:53:37,799
Speaker 1: these efforts. He's not doing it, which tells you what

959
00:53:37,960 --> 00:53:41,040
Speaker 1: exactly is going on? Then yep, very Well said, yeah, wow,

960
00:53:41,200 --> 00:53:43,239
Speaker 1: you guys must really like listening to our voices. Well,

961
00:53:43,239 --> 00:53:45,240
Speaker 1: I know this is annoying. Instead of making you listen

962
00:53:45,280 --> 00:53:47,759
Speaker 1: to a Viagra commercial. When you're done, check out the

963
00:53:47,840 --> 00:53:50,600
Speaker 1: other podcast I do with Marshal Costoff called The Realignment.

964
00:53:50,640 --> 00:53:53,040
Speaker 1: We talk a lot about the deeper issues that are changing,

965
00:53:53,160 --> 00:53:56,200
Speaker 1: realigning in American society. You always need more Crystal and

966
00:53:56,239 --> 00:53:59,480
Speaker 1: Zag in your daily lives. Take care guys. Okay, Crystal,

967
00:53:59,520 --> 00:54:02,040
Speaker 1: what are you taking? What got today? Well? Trump chronicler

968
00:54:02,080 --> 00:54:05,040
Speaker 1: and self professed book salesman Michael Wolfe is out within

969
00:54:05,120 --> 00:54:08,480
Speaker 1: New York Times opat explaining why he is absolutely convinced

970
00:54:08,520 --> 00:54:11,040
Speaker 1: that Donald Trump will in fact run again for president

971
00:54:11,080 --> 00:54:14,000
Speaker 1: in twenty twenty four. So wolf writes that for Democrats

972
00:54:14,040 --> 00:54:16,040
Speaker 1: who seem exiled to mar a Lago, Stripped of his

973
00:54:16,080 --> 00:54:19,680
Speaker 1: key social media platforms and facing determined prosecutors, his future

974
00:54:19,719 --> 00:54:23,680
Speaker 1: may seem risable, if not pathetic. But this is Donald Trump,

975
00:54:23,760 --> 00:54:26,080
Speaker 1: always ready to strike back harder than he has been struck,

976
00:54:26,200 --> 00:54:29,200
Speaker 1: to blame anyone but himself, to silence, and he doubts,

977
00:54:29,200 --> 00:54:30,880
Speaker 1: with the sound of his own voice, to take what

978
00:54:30,960 --> 00:54:34,200
Speaker 1: he believes is his, and most of all, to seize

979
00:54:34,200 --> 00:54:39,880
Speaker 1: avail all available attention. Sound the alarm, guys, I buy it.

980
00:54:40,320 --> 00:54:43,279
Speaker 1: Trump has a clear and unchallenged grip on the Republican Party,

981
00:54:43,320 --> 00:54:46,200
Speaker 1: as we've been talking about today, the nomination. It's his

982
00:54:46,320 --> 00:54:49,400
Speaker 1: for the taking. What politician, when face with such a

983
00:54:49,480 --> 00:54:53,000
Speaker 1: clear path, ever walks away, And this, of course, is

984
00:54:53,040 --> 00:54:55,960
Speaker 1: not just any politician. This is the narcissist who end

985
00:54:55,960 --> 00:54:59,440
Speaker 1: all narcissist, Donald J. Trump himself. If he is alive

986
00:54:59,600 --> 00:55:02,600
Speaker 1: and if he in decent health, Donald Trump will likely

987
00:55:02,680 --> 00:55:06,120
Speaker 1: run for president, and what's more, he will likely win.

988
00:55:06,880 --> 00:55:09,640
Speaker 1: Not because Biden is dodding, although he is, or because

989
00:55:09,719 --> 00:55:13,440
Speaker 1: Kamala is unserious, although she is, but because the conditions

990
00:55:13,440 --> 00:55:16,320
Speaker 1: in this country are perfect for a Trump like figure,

991
00:55:16,680 --> 00:55:20,040
Speaker 1: and Biden appears to be unwilling to do what is necessary.

992
00:55:20,080 --> 00:55:23,879
Speaker 1: To change that reality. So take yourself out, if you can,

993
00:55:24,000 --> 00:55:26,520
Speaker 1: for a moment of the political specifics of these particular

994
00:55:26,520 --> 00:55:30,280
Speaker 1: democrats or these particular republicans. Zoom out to the macro level.

995
00:55:30,440 --> 00:55:33,720
Speaker 1: Pretend you are considering the political conditions in a foreign country,

996
00:55:34,080 --> 00:55:37,600
Speaker 1: and ask yourself this, what type of conditions create fertile

997
00:55:37,640 --> 00:55:40,160
Speaker 1: ground for demogogues and would be strong men con men

998
00:55:40,200 --> 00:55:43,000
Speaker 1: who poses populous but are in bed with elites. The

999
00:55:43,040 --> 00:55:46,520
Speaker 1: answer is obvious. The worst things get, the more fertile

1000
00:55:46,560 --> 00:55:50,160
Speaker 1: the ground for those types of political figures. When sectarian

1001
00:55:50,239 --> 00:55:54,680
Speaker 1: conflicts dominate, when crime rises, when addiction abounds, when the

1002
00:55:54,719 --> 00:55:57,080
Speaker 1: gulf between the haves and the have nots is an

1003
00:55:57,120 --> 00:56:01,080
Speaker 1: insurmountable chasm, do you think that the landscape leads to

1004
00:56:01,160 --> 00:56:05,480
Speaker 1: a reason to nuance, dialogue, to resounding confidence and established

1005
00:56:05,480 --> 00:56:09,040
Speaker 1: networks of political power. Of course it doesn't. It results

1006
00:56:09,080 --> 00:56:13,000
Speaker 1: in voters hurling the biggest fu that they can possibly find,

1007
00:56:13,040 --> 00:56:17,400
Speaker 1: and Trump is the biggest fu available. The sad truth

1008
00:56:17,600 --> 00:56:21,360
Speaker 1: is that Trump both made everything worse and also stands

1009
00:56:21,400 --> 00:56:25,200
Speaker 1: to benefit from everything being worse. It's an ideal situation

1010
00:56:25,320 --> 00:56:27,400
Speaker 1: for him and a sort of hell for everyone else.

1011
00:56:27,840 --> 00:56:32,280
Speaker 1: He oversaw a pandemic response that decimated the working classes finances,

1012
00:56:32,520 --> 00:56:36,280
Speaker 1: their medical health, their mental health, while also adding trillions

1013
00:56:36,320 --> 00:56:39,600
Speaker 1: to the wealth of the megabillionaire class and consolidating the

1014
00:56:39,719 --> 00:56:46,400
Speaker 1: power of political and financial monopolists. That response precisely the same, accelerated,

1015
00:56:46,440 --> 00:56:49,880
Speaker 1: precisely the same trends that made Trump an appealing choice

1016
00:56:49,920 --> 00:56:52,480
Speaker 1: to some segment of the electric in the first place,

1017
00:56:52,880 --> 00:56:54,960
Speaker 1: and by twenty twenty four he might well be able

1018
00:56:55,000 --> 00:56:57,640
Speaker 1: to recapture that twenty sixteen magic. So consider a few

1019
00:56:57,640 --> 00:57:00,320
Speaker 1: metrics here. We saw back in twenty sixteen teens that

1020
00:57:00,400 --> 00:57:03,680
Speaker 1: the number of opioid deaths in a region correlated with

1021
00:57:03,800 --> 00:57:07,120
Speaker 1: the amount of Trump support. Well, guess what, folks, Addiction

1022
00:57:07,400 --> 00:57:11,760
Speaker 1: is worse than it has ever been. Overdose deaths skyrocketed

1023
00:57:11,800 --> 00:57:14,759
Speaker 1: in twenty twenty during the pandemic, claiming some ninety four

1024
00:57:14,880 --> 00:57:19,520
Speaker 1: thousand lives. That was a thirty percent year over year increase.

1025
00:57:20,120 --> 00:57:23,400
Speaker 1: Not good. We also saw in twenty sixteen that places

1026
00:57:23,400 --> 00:57:26,960
Speaker 1: with severe economic distress and job loss were more likely

1027
00:57:27,000 --> 00:57:31,640
Speaker 1: to vote for Trump. Trump vested Hillary by spectacular marges margins,

1028
00:57:31,680 --> 00:57:35,040
Speaker 1: and the places most ravaged by offshoring or most fearful

1029
00:57:35,080 --> 00:57:38,440
Speaker 1: of coming job loss from automation. Of course, twenty twenty

1030
00:57:38,480 --> 00:57:41,120
Speaker 1: saw a horrific economic toll due to the pandemic and

1031
00:57:41,160 --> 00:57:45,000
Speaker 1: attendant lockdowns, but there are long lasting effects that are

1032
00:57:45,080 --> 00:57:48,320
Speaker 1: likely to be more profound and ultimately much more dire.

1033
00:57:48,760 --> 00:57:51,880
Speaker 1: Monopolists like Amazon, they grew by leaps and bounds, turning

1034
00:57:51,960 --> 00:57:54,840
Speaker 1: in record breaking profits and feasting off the carcasses of

1035
00:57:54,880 --> 00:57:58,000
Speaker 1: destroyed small businesses, plenty of which are never going to return.

1036
00:57:58,480 --> 00:58:01,520
Speaker 1: What Walmart did to downtown Amazon is now doing to

1037
00:58:01,600 --> 00:58:05,040
Speaker 1: the suburban mallscape at a pace that accelerated like say,

1038
00:58:05,080 --> 00:58:08,760
Speaker 1: a dick shaped rocket during the pandemic. The pandemic also

1039
00:58:08,800 --> 00:58:12,280
Speaker 1: pushed more companies toward automation, another source of job loss

1040
00:58:12,280 --> 00:58:15,240
Speaker 1: and erosion of worker power, and a World Economic survey

1041
00:58:15,280 --> 00:58:17,720
Speaker 1: of three hundred companies, forty three percent said they were

1042
00:58:17,720 --> 00:58:21,240
Speaker 1: turning to automation in order to hire fewer humans. An

1043
00:58:21,240 --> 00:58:24,640
Speaker 1: IMF working paper found that this job automation and manufacturing

1044
00:58:24,680 --> 00:58:27,640
Speaker 1: retail in the service sector would put inequality, which is

1045
00:58:27,720 --> 00:58:32,200
Speaker 1: already at record levels, in overdrive. Yes, folks, this economic

1046
00:58:32,280 --> 00:58:37,960
Speaker 1: anxiety does fuel trump Ism. Finally, a nationwide crime surge

1047
00:58:38,080 --> 00:58:40,600
Speaker 1: plays right into Trump's law and order. I alone will

1048
00:58:40,640 --> 00:58:43,600
Speaker 1: fix it. Messaging that was so powerful back in twenty sixteen,

1049
00:58:44,040 --> 00:58:47,040
Speaker 1: in twenty twenty four, urban violence may well sub in

1050
00:58:47,200 --> 00:58:50,000
Speaker 1: for build that Wall as the demagogue's issue of choice.

1051
00:58:50,320 --> 00:58:52,840
Speaker 1: It's hard to say exactly what is fueling this nationwide

1052
00:58:52,880 --> 00:58:55,880
Speaker 1: increase in violence. Surely, surely a year of lockdown misery

1053
00:58:55,920 --> 00:58:59,160
Speaker 1: did not help, nor does record breaking temperatures when research

1054
00:58:59,200 --> 00:59:01,560
Speaker 1: shows that the hotter the day, the more violence results.

1055
00:59:02,000 --> 00:59:04,520
Speaker 1: But we all know that Trump is gonna blame Democrat

1056
00:59:04,640 --> 00:59:07,600
Speaker 1: run cities and Black Lives Matter activists, and that the

1057
00:59:07,640 --> 00:59:09,840
Speaker 1: messaging is gonna land with plenty of voters who are

1058
00:59:09,960 --> 00:59:13,880
Speaker 1: justifiably concerned about their own personal safety. Finally, just like

1059
00:59:13,920 --> 00:59:16,959
Speaker 1: in twenty fifteen, you got a media flat on its back,

1060
00:59:17,280 --> 00:59:20,280
Speaker 1: desperate for something to rescue it from its ratings collapse

1061
00:59:20,320 --> 00:59:24,120
Speaker 1: and cultural irrelevance. They may want to resist Trump's allure

1062
00:59:24,240 --> 00:59:27,640
Speaker 1: right now, but I promise you they will be dying

1063
00:59:27,680 --> 00:59:30,920
Speaker 1: to hang on his every utterance, feigning outrage at his

1064
00:59:31,040 --> 00:59:34,880
Speaker 1: every act, in a symbiotic relationship that is great for Trump,

1065
00:59:34,960 --> 00:59:37,600
Speaker 1: and is great for the punditry class, and is terrible

1066
00:59:37,600 --> 00:59:40,960
Speaker 1: for America. Now, none of this is inevitable. It's not

1067
00:59:41,000 --> 00:59:43,240
Speaker 1: too late for Biden to write the ship, but it

1068
00:59:43,280 --> 00:59:46,080
Speaker 1: would take a dramatic turn about the sort that he

1069
00:59:46,120 --> 00:59:48,560
Speaker 1: has never shown an appetite for. It would take a

1070
00:59:48,560 --> 00:59:52,320
Speaker 1: truly FDR like performance. Also, look, Trump himself is kind

1071
00:59:52,320 --> 00:59:53,880
Speaker 1: of a mess, with a ton of baggage and an

1072
00:59:53,920 --> 00:59:56,880
Speaker 1: obsession with pretending he was robbed in twenty twenty, but

1073
00:59:57,000 --> 01:00:00,440
Speaker 1: the underlying trends are very worrying. Matt Lewis actually has

1074
01:00:00,440 --> 01:00:01,960
Speaker 1: a good piece up of The Daily Beasts that delves

1075
01:00:02,000 --> 01:00:04,840
Speaker 1: into the epidemic of loneliness in America and how much

1076
01:00:04,880 --> 01:00:07,200
Speaker 1: it fuels the Trump movement. He points out that in

1077
01:00:07,240 --> 01:00:10,600
Speaker 1: the twenty sixteen GOP primary, Trump found the strongest support

1078
01:00:10,600 --> 01:00:14,200
Speaker 1: in places where people were socially atomized and lonely. In Trump,

1079
01:00:14,280 --> 01:00:16,360
Speaker 1: they found a community, They found an in group that

1080
01:00:16,400 --> 01:00:19,160
Speaker 1: made them feel some sense of purpose and connection, he

1081
01:00:19,280 --> 01:00:23,240
Speaker 1: writes in that piece, human beings, especially those who feel marginalized,

1082
01:00:23,320 --> 01:00:26,400
Speaker 1: they want to belong to something, and as our geographic

1083
01:00:26,400 --> 01:00:31,160
Speaker 1: communities atomize and religious service attendance dwindles, this emotional void

1084
01:00:31,240 --> 01:00:36,360
Speaker 1: is even more pronounced and ripe for exploitation. Folks. Capitalism

1085
01:00:36,400 --> 01:00:39,200
Speaker 1: has bled our communities dry and attempts to measure meaning

1086
01:00:39,320 --> 01:00:43,600
Speaker 1: in profit and loss margins that leaves us desperate and vulnerable.

1087
01:00:43,680 --> 01:00:47,600
Speaker 1: And we have never been a lonelier or more disconnected

1088
01:00:47,680 --> 01:00:51,920
Speaker 1: nation than we are right now. Conditions are ripe. As

1089
01:00:51,960 --> 01:00:55,320
Speaker 1: Michael Wolfe said, sound the alarm so really just hit

1090
01:00:55,320 --> 01:00:57,360
Speaker 1: me yesterday, Sager, as I was thinking about all of

1091
01:00:57,400 --> 01:00:59,960
Speaker 1: these trends that we've been trying. One more thing, I promise.

1092
01:01:00,400 --> 01:01:02,600
Speaker 1: Just wanted to make sure you knew about my podcast

1093
01:01:02,640 --> 01:01:05,439
Speaker 1: with Kyle Kolinski. It's called Crystal, Kyle and Friends, where

1094
01:01:05,480 --> 01:01:08,240
Speaker 1: we do long form interviews with people like Noam Chomsky,

1095
01:01:08,320 --> 01:01:11,600
Speaker 1: Cornell West, and Glenn Greenwald. You can listen on any

1096
01:01:11,640 --> 01:01:15,040
Speaker 1: podcast platform, or you can subscribe over on substack to

1097
01:01:15,040 --> 01:01:17,360
Speaker 1: get the video a day early. We're gonna stop bugging

1098
01:01:17,440 --> 01:01:20,680
Speaker 1: you now. Enjoy all right, Socger, what are you looking at? Well?

1099
01:01:20,800 --> 01:01:23,880
Speaker 1: Every time I see doctor Fauci before Congress lying about

1100
01:01:24,000 --> 01:01:26,720
Speaker 1: gain and function research and his own possible role in

1101
01:01:26,760 --> 01:01:30,360
Speaker 1: starting the pandemic, I really find myself asking how the

1102
01:01:30,400 --> 01:01:33,160
Speaker 1: hell does this guy get away with it? Intellectually I

1103
01:01:33,240 --> 01:01:36,000
Speaker 1: know the answer. Fauci was built up by cable news

1104
01:01:36,040 --> 01:01:39,000
Speaker 1: as the hero, while Trump was the villain. The Democratic

1105
01:01:39,040 --> 01:01:42,200
Speaker 1: base loves him. Democratic senators thus protect him, and the

1106
01:01:42,280 --> 01:01:44,520
Speaker 1: media stays silent, hoping all of us will just move

1107
01:01:44,560 --> 01:01:47,680
Speaker 1: on from questions around gain and function research. But as

1108
01:01:47,720 --> 01:01:50,560
Speaker 1: time marches on, as more evidence rolls in supporting the

1109
01:01:50,640 --> 01:01:54,680
Speaker 1: lap league hypothesis, the more outwardly transparent Fauci has been

1110
01:01:54,960 --> 01:01:57,960
Speaker 1: in his lies and in his ultimate aims as to

1111
01:01:58,040 --> 01:02:00,680
Speaker 1: why he covered up his own involvement and funding the

1112
01:02:00,720 --> 01:02:03,560
Speaker 1: Wuhan lab in the first place. For those who aren't

1113
01:02:03,720 --> 01:02:08,440
Speaker 1: entirely familiar, here is a very brief reminder. Doctor Fauci

1114
01:02:08,520 --> 01:02:13,800
Speaker 1: is the head of the NIAID. The NIAID is the

1115
01:02:13,920 --> 01:02:18,480
Speaker 1: largest granting organization in public health. Fauci greenlit a grant

1116
01:02:18,680 --> 01:02:22,960
Speaker 1: from the NIAID to a group called Eco Health Alliance,

1117
01:02:23,160 --> 01:02:26,920
Speaker 1: which then funded the Wuhan Institute of Virology, which was

1118
01:02:27,040 --> 01:02:31,920
Speaker 1: conducting something called gain of function research on bat coronaviruses.

1119
01:02:32,160 --> 01:02:35,960
Speaker 1: Gain of function research basically means engineering viruses to be

1120
01:02:36,040 --> 01:02:38,919
Speaker 1: more powerful than they are naturally, with the theory being

1121
01:02:39,120 --> 01:02:42,160
Speaker 1: that the research will allow scientists to be prepared in

1122
01:02:42,200 --> 01:02:45,480
Speaker 1: case that virus ever naturally mutates and becomes more powerful

1123
01:02:45,480 --> 01:02:48,000
Speaker 1: in the future, and then we could fight it from research.

1124
01:02:48,160 --> 01:02:52,120
Speaker 1: That's the theory. Evidence from Fauci's own emails shows that

1125
01:02:52,200 --> 01:02:55,320
Speaker 1: as early as January of twenty twenty, researchers found that

1126
01:02:55,440 --> 01:03:00,680
Speaker 1: coronavirus is quote not consistent with evolutionary theory. But for

1127
01:03:00,720 --> 01:03:03,240
Speaker 1: a variety of reasons, the media and the public health

1128
01:03:03,280 --> 01:03:06,920
Speaker 1: community covered up questions about the lab leak theory to

1129
01:03:07,040 --> 01:03:10,560
Speaker 1: both own trump but for the public health people to

1130
01:03:10,720 --> 01:03:14,800
Speaker 1: conceal their own role in possibly sparking this entire pandemic.

1131
01:03:15,120 --> 01:03:18,720
Speaker 1: But concealing their own role was not everything. The problem

1132
01:03:18,800 --> 01:03:21,320
Speaker 1: for the public health community is if the lab leak

1133
01:03:21,360 --> 01:03:24,480
Speaker 1: theory turns out to be true, it would dry up

1134
01:03:24,520 --> 01:03:29,400
Speaker 1: their entire funding architecture. Now, the NIAD is the largest

1135
01:03:29,440 --> 01:03:33,560
Speaker 1: granting institution in public health. Fauci controls the money role,

1136
01:03:33,920 --> 01:03:37,880
Speaker 1: so he and everyone else who gets the money needs

1137
01:03:37,920 --> 01:03:41,480
Speaker 1: to keep this gravy train going. Hence why Fauci made

1138
01:03:41,480 --> 01:03:44,240
Speaker 1: a fool out of himself before Congress recently when he

1139
01:03:44,320 --> 01:03:47,240
Speaker 1: lied and he twisted his words repeatedly when being pressed

1140
01:03:47,280 --> 01:03:49,480
Speaker 1: by doctor Rand Paul. Let's take a listen to that

1141
01:03:49,520 --> 01:03:52,000
Speaker 1: again in case you missed it, and you're dancing around

1142
01:03:52,000 --> 01:03:55,520
Speaker 1: this because you're trying to obscure a responsibility for four

1143
01:03:55,560 --> 01:03:58,680
Speaker 1: million people dying around the world. From a pandemic and

1144
01:03:59,040 --> 01:04:01,280
Speaker 1: let's send doctor fact I have to Well, now you're

1145
01:04:01,280 --> 01:04:04,440
Speaker 1: getting into something. If the point that you were making

1146
01:04:05,040 --> 01:04:08,800
Speaker 1: is that the grant that was funded as a sub

1147
01:04:08,840 --> 01:04:13,760
Speaker 1: award from eco Health to WUHAN created saus COVID two,

1148
01:04:14,360 --> 01:04:17,240
Speaker 1: that's where you are getting Let me finish. We don't

1149
01:04:17,240 --> 01:04:20,840
Speaker 1: know the lab, but all the evidence is pointing that

1150
01:04:20,880 --> 01:04:22,720
Speaker 1: it came from the lab you and there will be

1151
01:04:22,840 --> 01:04:27,120
Speaker 1: responsibility for those who funded the lab, including yourself. I totally,

1152
01:04:29,600 --> 01:04:34,280
Speaker 1: I totally resent the law that you are now propagating, Senator,

1153
01:04:34,960 --> 01:04:39,440
Speaker 1: because if you look at the viruses that were used

1154
01:04:39,640 --> 01:04:44,400
Speaker 1: in the experiments that were given in the annual reports

1155
01:04:44,880 --> 01:04:49,920
Speaker 1: that were published in the literature, it is molecularly impossible.

1156
01:04:50,040 --> 01:04:55,960
Speaker 1: No one's saying those Fauci, as Rand Paul says, is

1157
01:04:55,960 --> 01:04:59,959
Speaker 1: obscuring the truth. Nobody is saying the EcoHealth Alliance grant

1158
01:05:00,200 --> 01:05:04,080
Speaker 1: itself is what caused the pandemic, only where we were

1159
01:05:04,200 --> 01:05:07,560
Speaker 1: funding a lab where some shady research was going on.

1160
01:05:08,000 --> 01:05:10,920
Speaker 1: Now Fauci continues to hide behind word games to claim

1161
01:05:10,920 --> 01:05:14,480
Speaker 1: he never funded gain and function research, that the specific

1162
01:05:14,560 --> 01:05:18,320
Speaker 1: grant can't be responsible for COVID, and more to protect

1163
01:05:18,360 --> 01:05:22,960
Speaker 1: his end goal more funding for gain of function research

1164
01:05:23,040 --> 01:05:24,840
Speaker 1: in the future. And if you want to see how

1165
01:05:24,920 --> 01:05:27,280
Speaker 1: bonkers he really is, take a listen to this. It

1166
01:05:27,320 --> 01:05:30,000
Speaker 1: was from Sunday, a little noticed clip when Jake Tapper

1167
01:05:30,040 --> 01:05:32,760
Speaker 1: actually pressed Fauci on whether he's going to continue to

1168
01:05:32,800 --> 01:05:35,720
Speaker 1: push funding to the Wuhan lab. We were trying to

1169
01:05:35,720 --> 01:05:39,280
Speaker 1: find out how you could prevent this from happening again.

1170
01:05:39,400 --> 01:05:42,840
Speaker 1: But going forward, like a peer review is looking those

1171
01:05:42,880 --> 01:05:45,200
Speaker 1: are doctors and scientists looking at the work of doctors

1172
01:05:45,200 --> 01:05:49,160
Speaker 1: and scientists without kind of factoring in the fact that

1173
01:05:49,160 --> 01:05:53,880
Speaker 1: you have an oppressive Chinese government that won't allow transparency

1174
01:05:53,960 --> 01:05:59,280
Speaker 1: going forward? Are you still prue from him? But going

1175
01:05:59,320 --> 01:06:02,800
Speaker 1: forward always going to be very very careful, go through

1176
01:06:02,840 --> 01:06:07,640
Speaker 1: all kinds of review, including the risk benefit ratio. So

1177
01:06:07,800 --> 01:06:11,000
Speaker 1: I mean, if your question, Jake is looking forward, are

1178
01:06:11,040 --> 01:06:13,560
Speaker 1: going to be very careful about the research that we

1179
01:06:13,680 --> 01:06:17,280
Speaker 1: do well? We have always been very careful, and looking forward,

1180
01:06:17,880 --> 01:06:22,640
Speaker 1: we will continue to be very careful in what we do. Translation.

1181
01:06:22,880 --> 01:06:25,440
Speaker 1: We will continue to fund a lab known to be

1182
01:06:25,560 --> 01:06:29,280
Speaker 1: cited for multiple safety violations. We will continue to circumvent

1183
01:06:29,400 --> 01:06:32,840
Speaker 1: our own reporting protocols, and will ignore the mounting evidence

1184
01:06:32,880 --> 01:06:36,800
Speaker 1: that COVID nineteen likely came from the Wuhan Lab. At first,

1185
01:06:36,920 --> 01:06:39,600
Speaker 1: I couldn't really understand all of this, why is he

1186
01:06:39,720 --> 01:06:42,600
Speaker 1: so adamant? But then a New York Times story dropped

1187
01:06:42,680 --> 01:06:46,880
Speaker 1: yesterday and it puts the entire thing into perspective. Fauci's

1188
01:06:46,960 --> 01:06:50,600
Speaker 1: master plan to respond to future pandemics is to ask

1189
01:06:50,680 --> 01:06:56,160
Speaker 1: Congress for billions more dollars to create quote, prototype vaccines

1190
01:06:56,280 --> 01:07:00,640
Speaker 1: against twenty families of viruses, the theory bearing that more

1191
01:07:00,720 --> 01:07:04,680
Speaker 1: research can create the underlying technology such that when a

1192
01:07:04,720 --> 01:07:09,400
Speaker 1: future virus emerges, vaccine production can be sped up. Now,

1193
01:07:09,400 --> 01:07:11,920
Speaker 1: whether this requires gain of function research or not, it's

1194
01:07:12,000 --> 01:07:14,320
Speaker 1: unclear to me right now at this time of the writing,

1195
01:07:14,560 --> 01:07:17,720
Speaker 1: But the underlying power structure tells me everything I need

1196
01:07:17,760 --> 01:07:22,240
Speaker 1: to know. Fauci is asking Congress to give him the NIAID,

1197
01:07:22,640 --> 01:07:27,440
Speaker 1: the NIH billions more dollars to dole out to university

1198
01:07:27,480 --> 01:07:30,360
Speaker 1: grants and research and more at the exact time that

1199
01:07:30,440 --> 01:07:35,080
Speaker 1: compelling evidence exists right now that Fauci himself personally reversed

1200
01:07:35,160 --> 01:07:38,840
Speaker 1: US government policy on funding gain of function research, and

1201
01:07:38,920 --> 01:07:42,960
Speaker 1: further that he has lied, obfuscated, and manipulated the media

1202
01:07:43,000 --> 01:07:47,160
Speaker 1: away from the truth surrounding his own granting projects. I

1203
01:07:47,240 --> 01:07:49,880
Speaker 1: have no idea whether this program is a good idea

1204
01:07:50,160 --> 01:07:53,480
Speaker 1: or not. Maybe it is, maybe not, But I know

1205
01:07:53,720 --> 01:07:56,040
Speaker 1: that I sure as hell do not trust doctor Anthony

1206
01:07:56,040 --> 01:07:59,120
Speaker 1: Fauci and Francis Collins, the head of the NIH, two

1207
01:07:59,200 --> 01:08:02,360
Speaker 1: figures whom he may have been intimately involved in developing

1208
01:08:02,440 --> 01:08:07,600
Speaker 1: dangerous gain of function research to spearhead any future pandemic preparedness.

1209
01:08:07,760 --> 01:08:10,560
Speaker 1: I think we've had enough from them both In America

1210
01:08:10,960 --> 01:08:14,840
Speaker 1: always follow this simple maxim follow the money. In this case,

1211
01:08:14,960 --> 01:08:18,760
Speaker 1: the money stems from a power obsessed doctor Fauci protecting

1212
01:08:18,800 --> 01:08:21,839
Speaker 1: his reputation and the funding scheme of all of his friends,

1213
01:08:22,040 --> 01:08:25,519
Speaker 1: gaslighting the media and the public into making people believe

1214
01:08:25,760 --> 01:08:28,320
Speaker 1: he is some kind of hero, then using that hero

1215
01:08:28,439 --> 01:08:32,120
Speaker 1: status to increase his power in the scientific community and

1216
01:08:32,240 --> 01:08:35,439
Speaker 1: get even more dollars into his pockets that he gets

1217
01:08:35,439 --> 01:08:38,720
Speaker 1: to dole out on researching. God knows what. I have

1218
01:08:38,800 --> 01:08:42,000
Speaker 1: an idea before Congress hands Fauci billions of dollars to

1219
01:08:42,000 --> 01:08:44,280
Speaker 1: spend on whatever the hell he wants. As if that

1220
01:08:44,439 --> 01:08:46,920
Speaker 1: didn't end badly the first time, how about we have

1221
01:08:47,040 --> 01:08:50,960
Speaker 1: a Wuhan commission declassify everything related to the Wuhan Lab

1222
01:08:51,160 --> 01:08:54,439
Speaker 1: gain of function research the EcoHealth Alliance. If they find

1223
01:08:54,479 --> 01:08:56,920
Speaker 1: he's clean, so be it, give him the money. But

1224
01:08:56,960 --> 01:08:59,000
Speaker 1: if they give him the money without probing his pass,

1225
01:08:59,200 --> 01:09:00,880
Speaker 1: then I fear we will all be a hell of

1226
01:09:00,880 --> 01:09:04,639
Speaker 1: a lot less safer than we are right now. And really, Chrystal,

1227
01:09:04,760 --> 01:09:06,840
Speaker 1: it takes following the story for months and months to

1228
01:09:06,840 --> 01:09:08,720
Speaker 1: be able to put it all together. All right, we

1229
01:09:08,760 --> 01:09:10,600
Speaker 1: got a great guest to talk about where we are

1230
01:09:10,640 --> 01:09:13,599
Speaker 1: with the infrastructure package and who is looking to profit

1231
01:09:13,720 --> 01:09:17,040
Speaker 1: off of building our nation's infrastructure. Executive editor at The

1232
01:09:17,080 --> 01:09:20,240
Speaker 1: American Prospect, David Dan Great, see David, see you, David.

1233
01:09:20,320 --> 01:09:23,920
Speaker 1: Good to be here first time. Yeah, absolutely, welcome to

1234
01:09:23,920 --> 01:09:28,519
Speaker 1: Breaking Points, new old friend of the show. So talk

1235
01:09:28,520 --> 01:09:30,680
Speaker 1: to us first about just where we are with the

1236
01:09:30,840 --> 01:09:35,000
Speaker 1: bipartisan infrastructure package. Seemed like it was close and ready

1237
01:09:35,000 --> 01:09:36,040
Speaker 1: to go, and now it sort of seems like the

1238
01:09:36,080 --> 01:09:40,880
Speaker 1: wheels of fallen off. Yeah, I mean, we get conflicting reports.

1239
01:09:42,000 --> 01:09:45,880
Speaker 1: You hear that they're ninety percent there or ninety five

1240
01:09:45,920 --> 01:09:48,920
Speaker 1: percent there, and then you also hear things like that

1241
01:09:49,000 --> 01:09:55,760
Speaker 1: it's completely done except for the part of the mass transit, highways, bridges,

1242
01:09:56,360 --> 01:10:02,240
Speaker 1: broadband and wages. So except for everything they've got it covered,

1243
01:10:03,320 --> 01:10:09,439
Speaker 1: so I don't know exactly where we're going to be.

1244
01:10:09,680 --> 01:10:12,400
Speaker 1: I know there's sort of a soft deadline in the

1245
01:10:12,439 --> 01:10:15,800
Speaker 1: next twenty four to forty eight hours. One of the

1246
01:10:15,840 --> 01:10:20,679
Speaker 1: problems is that Democrats need to know whether this bill

1247
01:10:20,840 --> 01:10:24,760
Speaker 1: is going to go before they run their budget resolution,

1248
01:10:25,400 --> 01:10:29,920
Speaker 1: which will be the prelude to the reconciliation bill, because

1249
01:10:29,960 --> 01:10:33,040
Speaker 1: that bill has a number attached to it. The idea

1250
01:10:33,160 --> 01:10:38,200
Speaker 1: is if the bipartisan bill happens, then the reconciliation bill

1251
01:10:38,240 --> 01:10:41,600
Speaker 1: will be at three point five trillion, But if it

1252
01:10:41,640 --> 01:10:45,280
Speaker 1: doesn't happen, they will fold all of that spending into

1253
01:10:45,800 --> 01:10:48,439
Speaker 1: the reconciliation bill. And you simply need to know ahead

1254
01:10:48,439 --> 01:10:52,840
Speaker 1: of time what the upper limit for spending is on

1255
01:10:52,960 --> 01:10:57,240
Speaker 1: that reconciliation bill in order to pass the budget resolution.

1256
01:10:57,360 --> 01:11:01,559
Speaker 1: That sets the stage. So that's why Schumer, I think,

1257
01:11:01,600 --> 01:11:04,439
Speaker 1: has been speeding up this or trying to speed up

1258
01:11:04,479 --> 01:11:09,400
Speaker 1: this process, and that's going to come to a head

1259
01:11:10,160 --> 01:11:12,599
Speaker 1: pretty soon. One of the things that you've been pointing

1260
01:11:12,600 --> 01:11:15,240
Speaker 1: to and we want to cover is specifically how private

1261
01:11:15,320 --> 01:11:19,800
Speaker 1: equity is eyeing some of the benefits within this bill.

1262
01:11:19,880 --> 01:11:22,439
Speaker 1: Can you go through what we have We have one

1263
01:11:22,479 --> 01:11:25,200
Speaker 1: of them specifically, it's the second tear sheet that we

1264
01:11:25,200 --> 01:11:27,000
Speaker 1: built here. Go ahead and put that up there on

1265
01:11:27,040 --> 01:11:31,839
Speaker 1: the screen, eyeing federal infrastructure windfall, private equity courts, public utilities.

1266
01:11:31,840 --> 01:11:34,000
Speaker 1: Tell us about that, David. Yeah, well, this was a

1267
01:11:34,040 --> 01:11:37,559
Speaker 1: great piece by our new writing fellow Lee Harris, who

1268
01:11:37,720 --> 01:11:42,599
Speaker 1: talked to this company called Bernhard Capital that has for

1269
01:11:42,680 --> 01:11:47,280
Speaker 1: a little while now tried to approach mid size cities,

1270
01:11:47,640 --> 01:11:52,640
Speaker 1: usually poor cities in the Southeast, that have crumbling infrastructure

1271
01:11:52,680 --> 01:11:55,800
Speaker 1: systems and offer them a deal. Say, we'll front you

1272
01:11:56,000 --> 01:11:58,320
Speaker 1: a bunch of money. All you have to do is

1273
01:11:58,479 --> 01:12:02,400
Speaker 1: give us a long term lease on your public power

1274
01:12:03,080 --> 01:12:06,200
Speaker 1: or water system and let us run it for thirty years,

1275
01:12:06,240 --> 01:12:11,000
Speaker 1: seventy five years and keep all the profits. So this

1276
01:12:11,280 --> 01:12:14,920
Speaker 1: is a considered strategy on the part of Bernhard Capital

1277
01:12:14,960 --> 01:12:20,639
Speaker 1: and perhaps other private equity firms, and the particulars, particularly

1278
01:12:20,720 --> 01:12:25,679
Speaker 1: of the Bipartisan Infrastructure Bill, might facilitate that because one

1279
01:12:25,720 --> 01:12:31,120
Speaker 1: of the so called payfores in that bill is public

1280
01:12:31,160 --> 01:12:36,840
Speaker 1: private partnerships, and something called asset recycling. Public private partnerships

1281
01:12:36,920 --> 01:12:42,120
Speaker 1: just means exactly what I said, leasing out the management

1282
01:12:42,200 --> 01:12:47,120
Speaker 1: and operations of a public asset, an infrastructure asset like

1283
01:12:47,640 --> 01:12:51,040
Speaker 1: a utility or a water system or something like that.

1284
01:12:51,320 --> 01:12:55,840
Speaker 1: There will be incentives I guess in the bill for that.

1285
01:12:56,080 --> 01:13:01,360
Speaker 1: And the other asset recycling is essentially selling off older

1286
01:13:01,400 --> 01:13:06,439
Speaker 1: infrastructure to pay for newer infrastructure. And I guess the

1287
01:13:06,479 --> 01:13:09,479
Speaker 1: way this would work in the federal bill is that

1288
01:13:09,520 --> 01:13:12,080
Speaker 1: there would be an incentive for a city to sell

1289
01:13:12,120 --> 01:13:15,759
Speaker 1: off their water system the way that Bernhard Capital wants,

1290
01:13:16,320 --> 01:13:21,360
Speaker 1: and the federal government would give a small incentive cash

1291
01:13:21,400 --> 01:13:24,760
Speaker 1: incentive to the city in order to do that. So

1292
01:13:24,840 --> 01:13:28,960
Speaker 1: instead of the government having to pay for a new

1293
01:13:29,080 --> 01:13:34,160
Speaker 1: highway in that city, they would just give ten percent

1294
01:13:35,680 --> 01:13:38,320
Speaker 1: as a boost to the money that the city is

1295
01:13:38,360 --> 01:13:41,759
Speaker 1: going to generate by selling off their own infrastructure. And

1296
01:13:42,240 --> 01:13:45,840
Speaker 1: what you get in that process is the potential for

1297
01:13:46,000 --> 01:13:48,920
Speaker 1: higher rates in terms of whether it's rate paying and

1298
01:13:49,080 --> 01:13:53,040
Speaker 1: utilities or toll roads or things like that. You lose

1299
01:13:53,160 --> 01:13:58,839
Speaker 1: democratic control over that asset. Often maintenance SAgs, labor SAgs

1300
01:13:58,880 --> 01:14:02,280
Speaker 1: because now it's a four profit business, and any cuts

1301
01:14:02,400 --> 01:14:06,879
Speaker 1: to the spending side show up in the profit side.

1302
01:14:07,200 --> 01:14:11,639
Speaker 1: So it's really really dangerous and it's easily the most

1303
01:14:11,720 --> 01:14:15,120
Speaker 1: dangerous part of this bipartisan package. Well and Trump had

1304
01:14:15,120 --> 01:14:19,040
Speaker 1: proposed something similar as you pointed out, and there were

1305
01:14:19,040 --> 01:14:21,759
Speaker 1: a lot of voices raised in upset over that proposal

1306
01:14:21,760 --> 01:14:25,439
Speaker 1: when it came from Trump. Haven't heard much concerned this

1307
01:14:25,560 --> 01:14:28,840
Speaker 1: time around. And it strikes me as relevant to another

1308
01:14:28,880 --> 01:14:31,400
Speaker 1: piece that you all just published about how Joe Biden

1309
01:14:31,520 --> 01:14:34,640
Speaker 1: defanged the left by basically giving them access but then

1310
01:14:34,760 --> 01:14:36,760
Speaker 1: not really doing any of the things that they wanted

1311
01:14:36,840 --> 01:14:39,160
Speaker 1: him to do. Just talk about that a little bit. Yeah,

1312
01:14:39,200 --> 01:14:42,680
Speaker 1: Alex Samon wrote that piece for our upcoming issue. We

1313
01:14:42,840 --> 01:14:48,840
Speaker 1: released it on Monday, But yeah, I wouldn't characterize it

1314
01:14:48,880 --> 01:14:51,840
Speaker 1: as similar to the Trump proposal. I would characterize it

1315
01:14:51,880 --> 01:14:56,360
Speaker 1: as the same as the Trump proposal. This is what

1316
01:14:56,560 --> 01:15:02,200
Speaker 1: infrastructure was envisioned like under uh Donald Trump. In fact,

1317
01:15:02,760 --> 01:15:08,240
Speaker 1: Lee Harris talked to DJ Gribbon, who was Donald Trump's

1318
01:15:08,240 --> 01:15:14,800
Speaker 1: infrastructure guy, who was praising the the the Bipartisan Infrastructure

1319
01:15:14,840 --> 01:15:19,040
Speaker 1: Framework and saying that things like the Tennessee Valley Authority

1320
01:15:19,520 --> 01:15:25,800
Speaker 1: were quote historical aberrations that that the federal government should

1321
01:15:25,880 --> 01:15:31,080
Speaker 1: never get involved in publicly providing these kinds of of

1322
01:15:31,080 --> 01:15:36,479
Speaker 1: of of assets. So this is really very very similar.

1323
01:15:36,600 --> 01:15:42,200
Speaker 1: And you have this situation where uh, the professional groups

1324
01:15:42,240 --> 01:15:47,800
Speaker 1: on the left have been very tied into discussions and

1325
01:15:48,000 --> 01:15:51,960
Speaker 1: access with the Biden White House, and and that that

1326
01:15:52,000 --> 01:15:54,840
Speaker 1: has been seen as a way to play cape those

1327
01:15:54,920 --> 01:15:59,879
Speaker 1: groups who have then it's not like they're being told

1328
01:16:00,400 --> 01:16:04,280
Speaker 1: to censor themselves or not like they're being told to

1329
01:16:04,400 --> 01:16:07,960
Speaker 1: quiet any kind of dissension. They're just doing it. They're

1330
01:16:07,960 --> 01:16:10,120
Speaker 1: just doing it on their own. It's a form of

1331
01:16:10,479 --> 01:16:16,800
Speaker 1: I guess, self censorship. So that that is going to

1332
01:16:16,840 --> 01:16:21,120
Speaker 1: be make it difficult to see real changes on the

1333
01:16:21,120 --> 01:16:23,200
Speaker 1: progressive side. Now. I mean, you know, the Biden White

1334
01:16:23,240 --> 01:16:26,479
Speaker 1: House contains multitudes, and there have been some advances and

1335
01:16:26,560 --> 01:16:30,400
Speaker 1: some very good I think progressive advances in certain areas.

1336
01:16:31,240 --> 01:16:36,519
Speaker 1: But until there's sort of a sustained outcry and real

1337
01:16:36,560 --> 01:16:39,400
Speaker 1: pressure from the left, I think that's going to inevitably

1338
01:16:39,520 --> 01:16:42,479
Speaker 1: be limited. Yeah. Well, then the only pressure is coming

1339
01:16:42,479 --> 01:16:47,320
Speaker 1: from like private equity and corporate America and conservative Democrats.

1340
01:16:47,800 --> 01:16:50,200
Speaker 1: This is you end up with, you know, dystopian things

1341
01:16:50,240 --> 01:16:52,760
Speaker 1: like asset recycling. David, thank you so much for your

1342
01:16:52,800 --> 01:16:55,000
Speaker 1: terrific reporting on this and for being on the show today.

1343
01:16:55,000 --> 01:16:57,120
Speaker 1: We appreciate it. Thanks David. All right, thanks a lot,

1344
01:16:57,680 --> 01:17:01,040
Speaker 1: our pleasure. Okay, guys, thank you guys for watching that.

1345
01:17:01,160 --> 01:17:03,439
Speaker 1: Recorded an interview. We loved talking to David. Hope you

1346
01:17:03,479 --> 01:17:05,960
Speaker 1: enjoy those beautiful new bricks behind this and you can

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01:17:06,000 --> 01:17:09,400
Speaker 1: become a premium subscriber today link down there description get

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01:17:09,400 --> 01:17:12,519
Speaker 1: the show an hour early watch, listen support our work here.

1349
01:17:12,560 --> 01:17:14,720
Speaker 1: We really appreciate We've got some fun improvements that are

1350
01:17:14,720 --> 01:17:17,160
Speaker 1: coming here on the show, which is one hundred percent

1351
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Speaker 1: powered by all of you. So we cannot thank you

1352
01:17:19,560 --> 01:17:22,400
Speaker 1: guys enough. We're at five hundred thousand subscribers on YouTube.

1353
01:17:22,439 --> 01:17:24,439
Speaker 1: Who the hell knew that that was going to happen.

1354
01:17:24,479 --> 01:17:27,000
Speaker 1: Definitely do not think that was having that fast. I

1355
01:17:27,040 --> 01:17:30,360
Speaker 1: definitely thought it would take a while rebuild where we

1356
01:17:30,560 --> 01:17:33,000
Speaker 1: were with rising, but you guys came through really quickly

1357
01:17:33,040 --> 01:17:35,679
Speaker 1: for us, so we are so grateful for that. Everybody,

1358
01:17:35,720 --> 01:17:37,639
Speaker 1: have a fantastic day and we will see you back

1359
01:17:37,640 --> 01:17:54,400
Speaker 1: here on Thursday. Thanks for listening to the show, guys,

1360
01:17:54,400 --> 01:17:56,960
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