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

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

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

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

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

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

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

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

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

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Speaker 1: Christal indeed, we do. Nice to be back in the studio.

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Speaker 1: We had a wonderful time on the road though. Thank

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Speaker 1: you to New York and Boston everybody who came out.

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Speaker 1: It was great and we'll be posting some of those clips.

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Speaker 1: So whether you're premium, that's already the full thing live

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Speaker 1: from Boston, but we're going to post some of the

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Speaker 1: clips later on as well, so make sure you stay

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Speaker 1: tuned for that. Okay, In the show today, we got

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Speaker 1: a whole bunch of Twitter stuff, new threads that came out,

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Speaker 1: new Elon Musk tweets, new media reaction, We also have

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Speaker 1: something that is just breaking really this morning. Apparently Dave

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Speaker 1: Chappelle brought elon onto stage in San Francisco. It didn't

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Speaker 1: go all that well. We have some exclusive video, well

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Speaker 1: it's not exclusive guests, but some interesting video from inside

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Speaker 1: the room, so we'll show you that. We also have

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Speaker 1: some updates on that situation with the railroad workers. There's

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Speaker 1: still a chance for Joe Biden to sign an executive

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Speaker 1: order to give these workers be paid sick days that

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Speaker 1: they deserve as all workers do, so we will talk

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Speaker 1: to you about that. We also have some updates on

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Speaker 1: our friend Sam Bankman freed and whether or not he

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Speaker 1: will be testifying here in DC, potentially even this week.

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Speaker 1: We also have some crazy things, horrific tragic things that

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Speaker 1: are going on at the World Cup. We've now had

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Speaker 1: two journalists die suddenly, unexpected young guys. One of them

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Speaker 1: you all might remember we covered this here. He had

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Speaker 1: been turned away and actually detained for trying to wear

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Speaker 1: a rainbow shirt into the World Cup. He ended up,

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Speaker 1: like I said, dying suddenly. So we'll tell you everything

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Speaker 1: that we know about that. But let's go ahead and

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Speaker 1: jump in. We don't have any live shows to promote

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Speaker 1: anymore at the moment, for the time anymore nice. So

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Speaker 1: we'll get right into what's going on with Twitter. Okay,

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Speaker 1: let's start with the Twitter file. So the latest that

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Speaker 1: we have here were two drops since Thursday, both from

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Speaker 1: Matt Taiev and Michael Schellenberger, who works currently with Barry

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Speaker 1: Weiss's The Free Press. We wanted to start and focus

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Speaker 1: really on the Matt Tayib thread and in particular what

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Speaker 1: I believe to be the most significant story that's come

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Speaker 1: out really of the Twitter files so far. Let's put

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Speaker 1: it up there on the screen. What was essentially revealed

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Speaker 1: is that Joel Roth, the former head of Trust and Safety,

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Speaker 1: indicated in screenshots from Slack messages that he was having

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Speaker 1: weekly confabs with federal law enforcement agencies, specifically the FBI,

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Speaker 1: the DHS, and the Department of Justice. And in at

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Speaker 1: least one known instance, let's put a four up on

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Speaker 1: the screen there, guys. The next one. What's very important

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Speaker 1: is that and in this one instance, we know that

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Speaker 1: the FBI was actually sending reports about a pair of

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Speaker 1: tweets to Twitter, specifically asking for them to be taken down. Now,

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Speaker 1: the tweets in question, they certainly were bullshit. I mean,

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Speaker 1: they were about some fake mail in ballot claims from

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Speaker 1: the twenty twenty election. However, and I think that this

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Speaker 1: underscores the point. It is not the job of the

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Speaker 1: FBI actually to police misinformation on Twitter or elsewhere. And

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Speaker 1: they were clearly flagging tweets in a well established operation Crystal,

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Speaker 1: with weekly meetings with Yoel Roth and with the head

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Speaker 1: of Twitter CEOs and others, that indicate then a pattern

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Speaker 1: of trying to prepare the environment to get them to

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Speaker 1: take down anything that they wanted. Now remember also this

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Speaker 1: fits very neatly with the Mark Zuckerberg comments on Joe

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Speaker 1: Rogan in which he said that, well, you know, the

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Speaker 1: FBI came to us, they told us some sort of

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Speaker 1: like hack operation was coming. We thought that's what the

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Speaker 1: Hunter Biden story was. We waited a couple of days,

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Speaker 1: and in frankly, almost in an even more pernicious way,

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Speaker 1: they just simply made it impossible to find on their

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Speaker 1: platform while you could still technically click the link. They

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Speaker 1: didn't go as far as Twitter. But when you put

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Speaker 1: I think those two things together, look, did we know it, Yeah,

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Speaker 1: we knew it, But to see it, it's start writing

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Speaker 1: weekly messages in which he even alludes to his quote

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Speaker 1: like secret meetings, like very special meetings, almost as if

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Speaker 1: it's a joke. Actually it's not a joke and basically

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Speaker 1: confirms something that we all knew, but now we have

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Speaker 1: the proof right there in the pudding. And look, I mean,

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Speaker 1: I think that's the biggest takeaway from the Twitter files.

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Speaker 1: Yet I one hundred percent agree with that. Yeah, he

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Speaker 1: jokes about his like he's like, oh, I'm in favor

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Speaker 1: of calendar transparency, but he doesn't want to put on

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Speaker 1: his calendar literally every week meeting with the FBI again

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Speaker 1: for the hundredth time, I really want you all, however

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Speaker 1: you feel about these Twitter files, how you feel about

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Speaker 1: Elon Musk, however you feel about Joe Biden or Hunter

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Speaker 1: Biden or Donald Trump or the deep state or any

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Speaker 1: of this, I really want you to put aside your

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Speaker 1: sort of ideological inclinations and imagine it's whatever president or

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Speaker 1: whatever party you hate the most who's in power. And

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Speaker 1: the nefarious connection between the FBI and these social media

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Speaker 1: companies that have so much power, and there is no

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Speaker 1: transparency around how any of this has done. This is

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Speaker 1: the first real, like sort of real time glimpse we've

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Speaker 1: gotten into how all of these things ultimately operate. So

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Speaker 1: you know, there's been a lot of debate about like,

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Speaker 1: oh well, they've shown a lot of right wing exams,

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Speaker 1: not about a lot of left wing examples. To me,

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Speaker 1: it really doesn't matter which ideological inclination is being censored.

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Speaker 1: What matters is that this power exists. It's wholly unchecked,

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Speaker 1: and it can be wielded against any one, any idea,

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Speaker 1: any organization, at any time. And that's the thing as Americans,

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Speaker 1: regardless of what your ideology is, that's the thing that

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Speaker 1: you should be deeply, deeply concerned about it. And also remember,

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Speaker 1: I mean, I think what really underscores this is to

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Speaker 1: take it out of the Twitter files themselves and look

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Speaker 1: at the most recent example, the story that Ken clipp

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Speaker 1: has seen broke here on our show about the truth

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Speaker 1: cops about the Department of Homeland Security flagging things as

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Speaker 1: misinformation that include the withdrawal from Afghanistan as quote unquote misinformation. Look,

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Speaker 1: and I also here's another Twitter file I'm waiting for. Okay,

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Speaker 1: deep platform at the President. I get it. I think

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Speaker 1: it was very important. I want to know a lot

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Speaker 1: about COVID, about the initial lab leak blocks that were happening.

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Speaker 1: Who flagged that, what the ongoing meetings were between doctor Fauci,

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Speaker 1: the CDC and others. Also turns out that Fauci's daughter

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Speaker 1: actually worked for Twitter at a time during the pandemic.

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Speaker 1: That's interesting. I didn't actually know that would have been

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Speaker 1: an interesting act of journalism for somebody to flag that

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Speaker 1: for us. We only know it because it was deposed

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Speaker 1: in a lawsuit. So hm, that's actually there's a lot

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Speaker 1: happening here. And then furthermore, from the misinformation piece that

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Speaker 1: Ken Klippenstein put out, it shows you also that they

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Speaker 1: were flagging things which were directly bad politically for the

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Speaker 1: Biden administration, right like not just Afghanistan, but any sort

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Speaker 1: of not even questioning on the election on Biden and

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Speaker 1: criticism of him himself, flagging that to these social media companies.

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Speaker 1: And we know in this instance that Twitter was in

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Speaker 1: some cases flagging and taking things down on behalf of

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Speaker 1: the dj and the FBI. I also think a lot

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Speaker 1: of this crystal stems back to the war on Terror,

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Speaker 1: and I think all of us have to be honest

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Speaker 1: me specifically, Look, I mean, I think a lot of

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Speaker 1: us were okay with the idea that the FBI was

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Speaker 1: working deeply with Twitter to like take down isis, and

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Speaker 1: everyone's like, oh, that's a good thing, you know, we're

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Speaker 1: taking down these tweets. Well, it started to get real

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Speaker 1: sketchy in two thousand and like sixteen twenty seventeen, when

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Speaker 1: we were straight up going after American citizens and the

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Speaker 1: FBI was basically working with them to essentially entrap them

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Speaker 1: and put them in prison. Most people were fine with that,

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Speaker 1: but people like Glenn and many other civil libertarians were like,

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Speaker 1: you don't understand the apparatus which is being built here.

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Speaker 1: And I think many of us need to admit that

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Speaker 1: what happened there, while it seemed comfortable, those were people

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Speaker 1: and illegal infrastructure that was set up against them that

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Speaker 1: has now come to be expanded in a way that

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Speaker 1: nobody predicted. Yeah. I think there were a lot of

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Speaker 1: people and I will include myself in this, who felt

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Speaker 1: very uncomfortable with that power that was being claimed by

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Speaker 1: the executive branch under the Bush administration and felt a

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Speaker 1: lot more comfy with it under Obama. Yeah, because I

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Speaker 1: liked him better, and so I felt like, oh, well,

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Speaker 1: this isn't as bad, and you sort of forget that

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Speaker 1: they still retained those powers. I mean, you think about

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Speaker 1: Obama and the drone strike list and all of those things.

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Speaker 1: So this really isn't a partisan story because every president

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Speaker 1: that we have had has basically claimed these power and

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Speaker 1: use them for their own benefit. So again, to use

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Speaker 1: another sort of like counter example, right these examples, yes,

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Speaker 1: they focus on censorship predominantly of right wing accounts, which

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Speaker 1: again I think you should care about because you should

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Speaker 1: know that this power can be wielded against anyone at

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Speaker 1: any time. But imagine what Trump could have done with

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Speaker 1: these sorts of powers during the George Floyd protests and riots.

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Speaker 1: And we know that there was and this is again

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Speaker 1: reporting from Ken Clippenstein, we know there was an effort

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Speaker 1: within the Deep States to sort of track and surveil

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Speaker 1: Antifa activists. There were some takedowns of those accounts on

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Speaker 1: Twitter as well. So again, if you don't find you know,

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Speaker 1: the examples of libs of TikTok or whatever compelling, think

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Speaker 1: about these powers being used by someone like Donald Trump

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Speaker 1: that you know is untrustworthy in terms of his sort

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Speaker 1: of authoritarian tendencies, and what someone with those inclinations could

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Speaker 1: also do against their own ideological foes. You know, some

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Speaker 1: of the reportings suggest that again this sort of like

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Speaker 1: deep state apparatus, who are going to go after, who

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Speaker 1: they're going to track, who they're going to surveil, who

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Speaker 1: they're going to consider enemies. Some of that start to

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Speaker 1: be set up under Trump, and then the Biden administration

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Speaker 1: takes it and turns it towards the people that they

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Speaker 1: see as political adversaries. That's why I think it's so

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Speaker 1: important to take the ideology out of this and recognize

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Speaker 1: that this sort of power, total lack of transparency, it

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Speaker 1: really is an authoritarian type of system. And this evil

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Speaker 1: collaboration between the government and these social media tech companies

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Speaker 1: that have so much power in terms of our entire

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Speaker 1: democratic infrastructure. Everybody should be really troubled by this part.

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Speaker 1: And I do think that this is the most important

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Speaker 1: piece that we've seen come out of it. It is

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Speaker 1: confirming what the little glimpses that we've already gotten of

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Speaker 1: the way that this collaboration happens. We already know that

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Speaker 1: these tech companies also collaborate with other governments like Israel.

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Speaker 1: For example, Israel's very active at flagging Palestinian activists that

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Speaker 1: they think are out of bounds and need to be

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Speaker 1: censored or taken down as well. So it really is

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Speaker 1: an issue for us going forward as a society. There's

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Speaker 1: just no doubt. Let that be the takeaway. And look,

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Speaker 1: it also shows this is going on at all the

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Speaker 1: other social media companies. The only reason we know is

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Speaker 1: because Elon spent forty four billion dollars of his own

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Speaker 1: money and apparently doesn't care necessarily about recouping that investment,

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Speaker 1: although we'll see how that goes. And that actually brings

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Speaker 1: us to the next part. So part two here, let's start.

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Speaker 1: Let's put it up there on the screen. Elon is

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Speaker 1: making some big changes over at the Twitter platforms. He says, yes,

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Speaker 1: it is true. Twitter is set to increase characters from

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Speaker 1: two hundred and eighty two four thousand. Now I went

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Speaker 1: ahead and checked, it's not a typo, not to eighty

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Speaker 1: to four hundred to eighty two four thousand, and I

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Speaker 1: got to say, I think this may be the most

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Speaker 1: colossal mistake Crystal, that he has made yet, because what

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Speaker 1: did we learn with Trump over at truth Social Actually

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Speaker 1: the character limit was good for him. Trump's like rambling

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Speaker 1: truths which go on and on are awful, they're too long.

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Speaker 1: The concise edited nature of the short bites. There is

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Speaker 1: something to that format which I will not dispute, does

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Speaker 1: not necessarily quote add to better and healthier discourse. But

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Speaker 1: in terms of uh, in terms of like being punchy,

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Speaker 1: in terms of making a point, in terms of editing

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Speaker 1: down like what you're trying to say. Yeah, I have

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Speaker 1: always found it actually to be quite useful because if

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Speaker 1: you can't make a point like that, it's not really

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Speaker 1: necessarily one that's going to resonate with the pubblic well,

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Speaker 1: and you can always do a thread, yes, like if

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Speaker 1: you want to go on the character if you really

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Speaker 1: have something that needs to I mean like these freakin'

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Speaker 1: Twitter file threads, like you can go and you can

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Speaker 1: do your thirty tweet thread if you really feel like it.

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Speaker 1: But yeah, there's listen. This is what makes Twitter twitter. Yeah,

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Speaker 1: I mean you can change it, you can make it

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Speaker 1: four thousand words and you can still call it Twitter.

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Speaker 1: But the central innovation of this platform was the character limits.

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Speaker 1: That's the whole thing that made it. Really if I

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Speaker 1: even liked one, I liked back when it was one forty,

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Speaker 1: when it was half really, yeah, I sort of liked

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Speaker 1: that two eighty to be honest with you, but I

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Speaker 1: mean four thousand is like, I mean, we could post

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Speaker 1: our entire like multiple modelague and it's ridiculous like it

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Speaker 1: it becomes there is a space for obviously longer form writing.

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Speaker 1: That's what say substack is for. It's called a blog example, yeah,

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Speaker 1: or a blog. So I just feel like, I mean,

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Speaker 1: it might make the discourse less sort of snarky and

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Speaker 1: mean and ugly. It maybe, I don't know. It's hard

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Speaker 1: to say without actually trying it out, but it's just

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Speaker 1: it won't really be Twitter anymore. I agree. It's basically

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Speaker 1: the death of the central innovation of the platform. And

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Speaker 1: on top of that, the head of Twitter product. Let's

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Speaker 1: put this out there on the screen today. This underscore

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Speaker 1: all the Twitter files is let's not forget the entire

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Speaker 1: Twitter Blue saga. So Esther Crawford says, quote on Monday,

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Speaker 1: which is today, we are bringing back the ability to

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Speaker 1: subscribe to Twitter Blue. It'll be eight dollars a month

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Speaker 1: on the web and eleven dollars a month on the iOS. Well,

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Speaker 1: that's basically passing on the Apple tax to the consumer.

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Speaker 1: We have added a review step before applying the blue

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Speaker 1: check mark to an account as one of our new

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Speaker 1: steps to combat impersonation, which is against Twitter rules. You

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Speaker 1: will start seeing gold check marks in your timeline. Those

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Speaker 1: are indicators for businesses. Soon afterwards you're going to see

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Speaker 1: great check marks, which are for government and multilateral accounts.

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Speaker 1: Big thanks to the Blue team for all of your

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Speaker 1: hard work. So I guess, Look, I'm conflicted on this one.

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Speaker 1: I don't like the fact that they're passing on the

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Speaker 1: Apple tax to the consumer eleven dollars a month on iOS,

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Speaker 1: basically making passing it on has kind of screw you

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Speaker 1: to Apple, which highlights the fact that they take thirty percent.

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Speaker 1: But beyond that, look, Twitter Blue verification itself has always

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Speaker 1: been about verifying the actual information on the platform. So

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Speaker 1: while sure, I guess it's good that businesses can't be impersonated,

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Speaker 1: what about people? And I don't even care about myself,

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Speaker 1: but like, there's a lot of other people whose musings

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Speaker 1: are noteworthy. Elon himself, remember whenever he tweeted about trying

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Speaker 1: to take Tesla private in the stock went haywire. There's

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Speaker 1: a lot of accounts like that. So how are you

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Speaker 1: going to trust Jeff Bezos or any other market movers,

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Speaker 1: whether they are going to actually pay for the blue

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Speaker 1: check or not plot twist. I don't think Bezos will

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Speaker 1: be paying for it. Also, whenever you look further the

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Speaker 1: great check marks for government and multilateral accounts, that one's

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Speaker 1: not bad. I think that one is good because that.

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Speaker 1: But again there's still then in the context of verifying

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Speaker 1: and trying to indicate some sort of status to government

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Speaker 1: and multilateral accounts, which is good, right, Like you definitely

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Speaker 1: want those to have some but it just highlights like

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Speaker 1: trying to create a scheme across all different ones. I

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Speaker 1: just don't think it's the right move. Well, there's two

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Speaker 1: different potential goals here. One is money making and the

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Speaker 1: other is actually making the platform better. And I think

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Speaker 1: more verification would be better. Yes, obviously the first rollout

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Speaker 1: of this had much less verification. I mean, I personally

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Speaker 1: really enjoyed the parody potash businesses in particular. That was

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Speaker 1: fun for a time. The Eli Lilly insulent incident comes

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Speaker 1: to mind. But you know, I don't know that they're

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Speaker 1: doing this in the way to really better the platform.

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Speaker 1: It seems more like a money making scheme. We'll see

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Speaker 1: how the rollout goes. We'll see if they have real

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Speaker 1: verification this time. I mean, the way to do this,

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Speaker 1: if you actually wanted to make the platform better, would

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Speaker 1: be to extend free verification to a broader group of people.

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Speaker 1: So it's not just like the special whoever's who get

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Speaker 1: the blue check marks, but anyone can go through a

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Speaker 1: process to basically get verified I am who I say

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Speaker 1: I am. That would be inherently a good thing. The

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Speaker 1: other question is, you know what else do you get

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Speaker 1: for that eight dollars? Does that mean that your tweets

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Speaker 1: are going to be surfaced or your replies are going

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Speaker 1: to be surfaced more, they're going to be favored by

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Speaker 1: the algorithm. That's again putting your thumb on the scale.

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Speaker 1: In terms of quote unquote free speech. It's the antithesis

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Speaker 1: of free speech. It's literally paying to have your speech elevated.

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Speaker 1: So I still have a lot of questions. And also

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Speaker 1: as of this morning, I mean, I'm looking, I'm looking

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Speaker 1: at the Twitter Blue Twitter account. I don't see any

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Speaker 1: indication this is actually rolled out today so far, it's

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Speaker 1: early in the day. We'll see, so I await the

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Speaker 1: execution of how this all works, but remain highly skeptical. Yeah,

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Speaker 1: lots of questions. Again, look, we'll see if it actually

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Speaker 1: comes out in terms of verifying the actual information on

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Speaker 1: the platform. That's the value of Twitter, that's why everybody

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Speaker 1: uses it, that's why they look for it and all that.

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Speaker 1: So anything that diminishes that it's not the best. And

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Speaker 1: I'm actually fine with verifying people who you know, don't

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Speaker 1: quote unquote meet Twitter standards, but I do think there

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Speaker 1: has to be some sort of scheme to make sure

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Speaker 1: that public and noteworthy figures, not just businesses and governments,

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Speaker 1: can't we can actually trust that their accounts are their accounts.

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Speaker 1: Same thing that you said, which is, whenever you're preferencing replies,

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Speaker 1: then by definition you're in you know, you're kind of

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Speaker 1: enacting a shadowman type regime. So that doesn't read as

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Speaker 1: free or fair speech either. And right Actually, like I

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Speaker 1: really dispute a lot of the whole like freedom of

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Speaker 1: reach stuff. I'm for freedom of reach. I think the

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Speaker 1: algorithm should be completely fair to everybody because then there's

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Speaker 1: no manipulation. And whenever you have it, as long as

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Speaker 1: it's consistent with the First Amendment, everybody can be reasonably

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Speaker 1: everybody can be reasonably trust to trust that when you

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Speaker 1: send a tweet or I send a tweet, that they

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Speaker 1: are treated exactly the same. Yeah, that's what actual engagement

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Speaker 1: on you know, a real town square, That's what it

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Speaker 1: would look like. Yes, yes, I totally agree. And that's

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Speaker 1: one piece that to me is notably absent from the

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Speaker 1: Twitter files revelations is there's nothing in here about the

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Speaker 1: way the algorithm operates, which types of accounts, which types

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Speaker 1: of content it elevates, how it's making these decisions, what

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Speaker 1: the overall impact on the platform has been. I think

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Speaker 1: that is almost as important. I mean, it is to

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Speaker 1: be as important as anything else, And maybe I'm particularly

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Speaker 1: sensitive to it because YouTube is so algorithmically driven at

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Speaker 1: this point that you really see on a day to

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Speaker 1: day basis how you know they can make anything just

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Speaker 1: arbitrarily super successful and get million plus views. They can

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Speaker 1: crush anything and suppress it, and you have no way

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Speaker 1: of really knowing. You can look at some of your

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Speaker 1: back end stats and say like, well, why is the

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Speaker 1: click through rate so high and the view count so low,

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Speaker 1: and you can sort of like piece together that the

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Speaker 1: algorithm screwed you over for whatever reason. But there continues

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Speaker 1: to be zero transparency around any of how this operates,

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Speaker 1: and I agree with you, Saga, the freedom of reach

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Speaker 1: stuff is incredibly, incredibly pernicious. I mean that amounts to

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Speaker 1: a shadow band as well. Where Yeah, if certain types

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Speaker 1: of content is propped up and put in front of

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Speaker 1: a bunch of people, of course it's going to go

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Speaker 1: further than if you're just like not displaying people's replies.

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Speaker 1: If you're not displaying their tweets, when you have that

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Speaker 1: algorithmically driven feed, that's as much of a problem to

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Speaker 1: me as anything else. Totally agree. All right. Finally, this

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Speaker 1: happened late last night. Dave Chappelle, performing at the Chase

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Speaker 1: Center in San Francisco, decides to bring Elon Musk on stage.

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Speaker 1: Let's just say the results were unexpected for mister Musk.

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Speaker 1: Let's take a listen, make some noise whether riches cheers

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Speaker 1: don't expecting VENs luio. It sounds like some of them

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Speaker 1: people fired in the audience. Who uh is acious pooing? Also,

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Speaker 1: just so you know, the original account that tweeted out

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Speaker 1: that video was deleted off of Twitter. Uh, nobody knows why.

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Speaker 1: We'll see as to whether Musk himself is a little

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Speaker 1: bit sensitive about that. I mean, look, it probably sucks

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Speaker 1: to get booed by thousands of people that said, I

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Speaker 1: don't really know why it would have been a good

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Speaker 1: idea for him to go on stage in San Francisco,

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Speaker 1: like we're talking here about Okay, First of all, who

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Speaker 1: can afford to go to a Dave Chappelle in downtown

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Speaker 1: San Francisco. Obviously only probably rich tech people in San Francisco,

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Speaker 1: and those people are probably friends. Dave was really onto

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Speaker 1: something when he was like, maybe some of the people

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Speaker 1: you fired are here in the audience. Maybe not them specifically,

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Speaker 1: but maybe some of their friends actually were in the audience.

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Speaker 1: So it was a mistake to think that he is

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Speaker 1: the San Francisco hero. Well, I think if he gone

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Speaker 1: up in what Miami or you know, any like not

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Speaker 1: even like Red State, like half and half type place,

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Speaker 1: I mean, he probably would have been fired, but maybe maybe.

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Speaker 1: I mean, this was going to be definitely the toughest audience,

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Speaker 1: because it is not far fetch to think that there

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Speaker 1: were literally people in the audience that he fired. Ye,

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Speaker 1: I mean, it's not crazy to think that whatsoever. I

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Speaker 1: was looking because I saw some pulling maybe like a

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Speaker 1: week or two ago. His approval rating used to be

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Speaker 1: really really high with the American public, and now I

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Speaker 1: mean his plummet had fallen off a cliff in terms

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Speaker 1: of personal popularity. And I also just saw this morning

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Speaker 1: actually Tesla as a company, their approval rating has now

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Speaker 1: dipped into negative territory for the first time. So I

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Speaker 1: don't know if he realizes the way that the public

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Speaker 1: is perceiving him right now, and just how like erratic

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Speaker 1: and all over the place his management style has been that.

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Speaker 1: I mean, whatever you think of him and his politics,

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Speaker 1: the terrible decision making Twitter blue, the rollout of that

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Speaker 1: was a disaster. The way all of this has been

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Speaker 1: going is just sort of like all over the place.

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Speaker 1: It has also taken some of the shine off the

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Speaker 1: idea that he's this you know, world historic genius and

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Speaker 1: he's this brilliant mastermind when all the decision making seems

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Speaker 1: so messy and chaotical. Yeah, honestly, I think it's really sad.

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Speaker 1: I mean, like the idea that Tesla's negative approval will go.

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Speaker 1: I mean, look, also probably too hard right now to

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Speaker 1: buy a Tesla anyway in terms of delivery, So maybe

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Speaker 1: it's a good thing for would be, but you know,

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Speaker 1: I'm taking it out on an electric car company, which

429
00:22:27,680 --> 00:22:30,879
Speaker 1: basically changed the game. Like that's a huge mistake. That said, like,

430
00:22:30,960 --> 00:22:35,240
Speaker 1: he is the CEO of Tesla and CEO of SpaceX,

431
00:22:35,280 --> 00:22:37,280
Speaker 1: and the last thing you actually want to do is

432
00:22:37,320 --> 00:22:39,720
Speaker 1: politicize electric cars. That was one of the things that

433
00:22:39,760 --> 00:22:42,640
Speaker 1: really bothered me about the Inflation Reduction Act when everybody

434
00:22:42,680 --> 00:22:45,720
Speaker 1: started attacking, for example, like the Ford F one fifty lightning.

435
00:22:45,720 --> 00:22:48,040
Speaker 1: I'm like, yo, we're in gen one here, Like this

436
00:22:48,160 --> 00:22:51,680
Speaker 1: is the frontier of the of the electric truck. I'm

437
00:22:51,720 --> 00:22:54,160
Speaker 1: not saying it's great that you know, the mile miles

438
00:22:54,320 --> 00:22:56,480
Speaker 1: is like eighty miles or whatever whenever you put a

439
00:22:56,520 --> 00:22:59,000
Speaker 1: real load, but it's you know, it would the first

440
00:22:59,160 --> 00:23:02,600
Speaker 1: It's something like that. It's not great that said. Look,

441
00:23:02,680 --> 00:23:04,679
Speaker 1: Model T wasn't a great car. Or if you go

442
00:23:04,760 --> 00:23:06,240
Speaker 1: back and if you look at some of the original

443
00:23:06,320 --> 00:23:08,760
Speaker 1: rules rooices from like nineteen ten and what you had

444
00:23:08,760 --> 00:23:10,680
Speaker 1: to do with the handspinning and even some of the

445
00:23:10,680 --> 00:23:12,639
Speaker 1: electric it was bad. It took a long time for

446
00:23:12,720 --> 00:23:14,360
Speaker 1: us to get to the point where we are now.

447
00:23:14,440 --> 00:23:19,960
Speaker 1: So I just let's not culture war and politicize breakthrough

448
00:23:20,000 --> 00:23:23,480
Speaker 1: technology which could genuinely change and even today. I mean, look, around.

449
00:23:23,520 --> 00:23:25,640
Speaker 1: How many tessels and electric cars do you see out there?

450
00:23:25,640 --> 00:23:28,439
Speaker 1: There's a lot that are on the road. That's a

451
00:23:28,440 --> 00:23:31,359
Speaker 1: real victory. That's a breakthrough, not even on climate like

452
00:23:31,400 --> 00:23:35,680
Speaker 1: in terms of our reliance on foreign oil and even

453
00:23:35,800 --> 00:23:39,520
Speaker 1: like our own domestic energy production. This let's keep these

454
00:23:39,560 --> 00:23:42,200
Speaker 1: things separate. Well, but a lot of the public doesn't

455
00:23:42,200 --> 00:23:43,960
Speaker 1: want self a lot more favors on that. I agree,

456
00:23:44,240 --> 00:23:47,040
Speaker 1: I know for real, And that is one area where

457
00:23:47,200 --> 00:23:49,920
Speaker 1: he needs to be really careful, which is my fear,

458
00:23:49,960 --> 00:23:53,240
Speaker 1: is that he will tarnish his genuine like engineering legacy.

459
00:23:53,560 --> 00:23:56,400
Speaker 1: Because you know, there's a great book, it's twenty seventeen

460
00:23:56,600 --> 00:24:00,199
Speaker 1: Elon Musk biography. It's well written because it's before he

461
00:24:00,240 --> 00:24:02,560
Speaker 1: was political in any way. This is the actual story

462
00:24:02,680 --> 00:24:06,359
Speaker 1: of PayPal, of SpaceX, of Tesla, and these are remarkable

463
00:24:06,400 --> 00:24:10,639
Speaker 1: engineering feats of which nobody ever expected to actually happen.

464
00:24:10,680 --> 00:24:13,199
Speaker 1: He's the first person to create like a genuine rocket

465
00:24:13,359 --> 00:24:16,800
Speaker 1: competitor to the Boeing and North I forget exactly what

466
00:24:16,800 --> 00:24:18,760
Speaker 1: it was. There's a monopoly that used to exist in

467
00:24:18,800 --> 00:24:21,040
Speaker 1: the space. We've reduced the price of satellites, like so

468
00:24:21,200 --> 00:24:24,720
Speaker 1: much actual good that has been done on that front,

469
00:24:24,760 --> 00:24:27,240
Speaker 1: and you know, not even ruining his legacy, but changing

470
00:24:27,240 --> 00:24:29,520
Speaker 1: his legacy into something else like that can have major

471
00:24:29,520 --> 00:24:32,439
Speaker 1: detrimental effects on his other not only sources of wealth,

472
00:24:32,440 --> 00:24:34,760
Speaker 1: but like really the genuine good that he has done

473
00:24:35,359 --> 00:24:39,840
Speaker 1: in the sphere of engineering. Personally, I am just irritated

474
00:24:39,880 --> 00:24:41,959
Speaker 1: because I want him to focus less time on like

475
00:24:42,080 --> 00:24:44,359
Speaker 1: trolling on Twitter and more time on making it so

476
00:24:44,400 --> 00:24:46,280
Speaker 1: that I can get Internet at my house. Yeah, that's right,

477
00:24:47,000 --> 00:24:50,480
Speaker 1: that's my starsonal beef. Get on top of starling for

478
00:24:50,560 --> 00:24:53,800
Speaker 1: the East Coast. It's long overdue. Make it so I

479
00:24:53,800 --> 00:24:56,720
Speaker 1: can record segments in my house, and then I will,

480
00:24:57,160 --> 00:24:59,280
Speaker 1: you know, I will overlook some other things, although I

481
00:24:59,280 --> 00:25:03,520
Speaker 1: will still be a so speaking of Elon boomer posting,

482
00:25:04,119 --> 00:25:07,040
Speaker 1: posting outside of normal, let's go to the next part here,

483
00:25:07,320 --> 00:25:10,399
Speaker 1: the Fauci one Elon out of the blue, almost a

484
00:25:10,480 --> 00:25:12,880
Speaker 1: year late to the cycle. Let's put this out there

485
00:25:12,920 --> 00:25:17,879
Speaker 1: on the screen. Tweets out quote my pronouns are prosecute slash.

486
00:25:18,040 --> 00:25:23,879
Speaker 1: Fauci replied this morning quote truth resonates again totally unprompted.

487
00:25:24,640 --> 00:25:29,639
Speaker 1: Also followed up with this is a true top tier

488
00:25:29,840 --> 00:25:32,640
Speaker 1: boomer meme. Let's go to the next one here from

489
00:25:32,760 --> 00:25:37,360
Speaker 1: Lord of the Rains, just one more lockedown, King of Fauci,

490
00:25:37,400 --> 00:25:41,200
Speaker 1: whispering into the cursed king whose mind has been taken

491
00:25:41,240 --> 00:25:43,560
Speaker 1: over it. There actually is quite a bit there again,

492
00:25:43,640 --> 00:25:47,520
Speaker 1: though literally a year late to the cycle. You know.

493
00:25:47,760 --> 00:25:51,119
Speaker 1: The funny thing is, though, is so many people also

494
00:25:51,560 --> 00:25:55,639
Speaker 1: cannot resist taking the bait like he's clearly trolling, and

495
00:25:55,720 --> 00:25:59,439
Speaker 1: yet the freak out on this Fauci tweet and also

496
00:25:59,560 --> 00:26:02,600
Speaker 1: on criticizing yoel Roth, which I'll get to in a

497
00:26:02,640 --> 00:26:05,159
Speaker 1: little bit. I have never It's like it broke. He

498
00:26:05,240 --> 00:26:08,400
Speaker 1: broke people's brains, almost secondary to the way Trump did.

499
00:26:08,440 --> 00:26:11,320
Speaker 1: For example, let's put this up there, doctor Peter Hotez,

500
00:26:11,800 --> 00:26:13,239
Speaker 1: who some of you might have remember from the Joe

501
00:26:13,320 --> 00:26:16,760
Speaker 1: Rogan broadcast. Doctor Fauchi has done nothing wrong except served

502
00:26:16,800 --> 00:26:19,520
Speaker 1: our nation. In the meantime, mister Mustard know two hundred

503
00:26:19,520 --> 00:26:22,120
Speaker 1: thousand Americans and EVEI lost their lives from COVID due

504
00:26:22,119 --> 00:26:25,440
Speaker 1: to this kind of anti science rhetoric and disinformation. It's

505
00:26:25,440 --> 00:26:28,480
Speaker 1: not anti science or disinformation to say you should prosecute Fvauchi.

506
00:26:28,480 --> 00:26:31,919
Speaker 1: That's actually a misusing of saying this. He also says, Elon,

507
00:26:32,000 --> 00:26:33,879
Speaker 1: I am asking you to take down this tweet the

508
00:26:33,960 --> 00:26:38,800
Speaker 1: sanctimony man again, like, who are you criticize the tweet? Whatever? Second,

509
00:26:39,080 --> 00:26:43,199
Speaker 1: I found Yoel roth who again we'll all remember the

510
00:26:43,240 --> 00:26:46,440
Speaker 1: former Trust safety head. He actually after he quit Elon

511
00:26:46,520 --> 00:26:49,080
Speaker 1: musk Twitter did interviews where he defended taking down one

512
00:26:49,119 --> 00:26:53,720
Speaker 1: hunter byden laptop story, defended banning the Babylon be basically

513
00:26:54,200 --> 00:26:58,040
Speaker 1: has been a complete front man for the entire censorship regime.

514
00:26:58,400 --> 00:27:00,879
Speaker 1: So there's like a back and forth going on. Elon

515
00:27:00,960 --> 00:27:05,760
Speaker 1: tweets a segment of his thesis from his PhD where

516
00:27:06,200 --> 00:27:10,280
Speaker 1: and look, some people are saying it's misquoted out of contented.

517
00:27:10,600 --> 00:27:13,560
Speaker 1: This going, okay, listen, go ahead and finish and that

518
00:27:13,680 --> 00:27:15,520
Speaker 1: I'll tell you my RESPONSEI people are one. I'm going

519
00:27:15,560 --> 00:27:18,960
Speaker 1: to defend Youoel roth On. Unfortunately, so Yoel in his

520
00:27:19,119 --> 00:27:23,160
Speaker 1: senior the or sorry, his PhD thesis was, I guess

521
00:27:23,359 --> 00:27:28,720
Speaker 1: arguing in a broader context around when and how teenagers

522
00:27:28,760 --> 00:27:32,160
Speaker 1: should appear on the gay app Grinder. Now you can dispute,

523
00:27:32,160 --> 00:27:34,600
Speaker 1: all right, Okay, here's what I said. It says on

524
00:27:34,760 --> 00:27:38,159
Speaker 1: Grinder there are teenagers and this is an issue because

525
00:27:38,280 --> 00:27:41,320
Speaker 1: this is, like you know, Grinder is oftentimes about queer

526
00:27:41,359 --> 00:27:45,520
Speaker 1: hookups and so he's saying that more effective than trying

527
00:27:45,560 --> 00:27:48,520
Speaker 1: to ban them from the platform, which isn't going to work.

528
00:27:48,800 --> 00:27:50,960
Speaker 1: What you need to do is figure out another way

529
00:27:51,000 --> 00:27:53,439
Speaker 1: for them to be safely on the platform, which, in

530
00:27:53,440 --> 00:27:56,240
Speaker 1: my view, there is nothing wrong with saying. Somebody else

531
00:27:56,440 --> 00:28:00,119
Speaker 1: also grabs some old tweet of his where again, and

532
00:28:00,440 --> 00:28:04,760
Speaker 1: it's he said he linked to an article arguing that

533
00:28:04,800 --> 00:28:09,480
Speaker 1: there is no instance in which high school students can

534
00:28:10,200 --> 00:28:13,560
Speaker 1: consent to sex with the teacher, and he basically like

535
00:28:14,680 --> 00:28:17,119
Speaker 1: agreed with that, but they took it out of context

536
00:28:17,200 --> 00:28:19,200
Speaker 1: and made it seem like he was questioned like, oh,

537
00:28:19,240 --> 00:28:23,840
Speaker 1: maybe students can so listen. Joel Roth was a completely

538
00:28:23,880 --> 00:28:26,080
Speaker 1: ideological actor. Yes, I mean that's the other thing that

539
00:28:26,119 --> 00:28:28,760
Speaker 1: comes out in the Twitter files is like there's a

540
00:28:28,760 --> 00:28:31,400
Speaker 1: lot of people, there's a lot of dysfunction. It's one

541
00:28:31,440 --> 00:28:35,200
Speaker 1: off decision making. Most people in any organization don't really

542
00:28:35,240 --> 00:28:37,399
Speaker 1: want to make decisions because they don't want to be

543
00:28:37,480 --> 00:28:40,400
Speaker 1: on this hot seat. You had Vijayagatti and Yoel Roth

544
00:28:40,440 --> 00:28:43,760
Speaker 1: who were ideological actors. They grabbed the reins. Jack was

545
00:28:43,800 --> 00:28:46,640
Speaker 1: like an absentee boss, and they just did whatever the

546
00:28:46,680 --> 00:28:48,760
Speaker 1: hell they wanted to do, and they came up with

547
00:28:48,880 --> 00:28:50,840
Speaker 1: justifications after the fact. I mean, that's the thing with

548
00:28:50,960 --> 00:28:53,680
Speaker 1: like the Trump stuff. They wanted to ban him, and

549
00:28:53,720 --> 00:28:56,600
Speaker 1: they came up with justifications after the fact to make

550
00:28:56,640 --> 00:28:59,640
Speaker 1: it so that they could justify it, even as they acknowledged, like,

551
00:28:59,680 --> 00:29:02,360
Speaker 1: this is not how we're treating other world leaders. So

552
00:29:03,000 --> 00:29:05,840
Speaker 1: I criticized your Ralph for that. I don't know why

553
00:29:05,920 --> 00:29:08,040
Speaker 1: you're trying to make this like whole like pretend like

554
00:29:08,080 --> 00:29:10,960
Speaker 1: he's some groomer weirdo like on that stuff point. So

555
00:29:11,120 --> 00:29:13,280
Speaker 1: I have an issue with that part of it. Criticize

556
00:29:13,280 --> 00:29:15,640
Speaker 1: you all, Roth, I just did it. He totally deserves

557
00:29:15,680 --> 00:29:18,960
Speaker 1: that scrutiny for his ideological acting at Twitter. This stuff

558
00:29:19,040 --> 00:29:22,920
Speaker 1: is like gross nonsense in my So anyway, Bloomberg came

559
00:29:22,960 --> 00:29:24,840
Speaker 1: out and put it up there on the screen, and

560
00:29:24,920 --> 00:29:27,440
Speaker 1: I just found this remarkable for the way that this

561
00:29:27,560 --> 00:29:29,840
Speaker 1: was phrase. This is from Danahol, who is actually the

562
00:29:29,840 --> 00:29:34,920
Speaker 1: Bloomberg reporter over covering Tesla and SpaceX in San Francisco.

563
00:29:35,000 --> 00:29:37,920
Speaker 1: She says, quote, I was not planning to work this Saturday,

564
00:29:37,920 --> 00:29:41,880
Speaker 1: but Elon Musk's attacks on Yoel cannot be ignored, almost

565
00:29:41,920 --> 00:29:46,160
Speaker 1: as if it's like a strange personal crusade and look,

566
00:29:46,360 --> 00:29:49,440
Speaker 1: I mean you can give your pushback, Crystal. I thought

567
00:29:49,440 --> 00:29:51,880
Speaker 1: it was a little weird what he wrote there that

568
00:29:52,040 --> 00:29:56,480
Speaker 1: said I don't understand and you know, you criticize it

569
00:29:56,800 --> 00:29:59,920
Speaker 1: or you're defending it. On the substance, there seems to

570
00:29:59,960 --> 00:30:05,720
Speaker 1: be be this deep personal connection between the Silicon Valley reporters,

571
00:30:05,760 --> 00:30:10,000
Speaker 1: the tech press, and the former Twitter sensors Vajia Goda

572
00:30:10,400 --> 00:30:12,400
Speaker 1: and yoel And I found this out the hard way.

573
00:30:12,480 --> 00:30:16,840
Speaker 1: Remember back whenever I tweeted my criticism of Vijia and

574
00:30:16,880 --> 00:30:19,480
Speaker 1: Elon replied, and then the Washington Post basically accused me

575
00:30:19,520 --> 00:30:24,120
Speaker 1: of inciting racist attacks against her, emailing James for a

576
00:30:24,200 --> 00:30:27,120
Speaker 1: producer at two am in the morning and being like,

577
00:30:27,160 --> 00:30:29,560
Speaker 1: why exactly did he tweet this? Like what was he

578
00:30:29,640 --> 00:30:33,920
Speaker 1: hoping to accomplish? All this completely bs attacks? And I

579
00:30:34,000 --> 00:30:35,560
Speaker 1: said it was off the record, so I won't go

580
00:30:35,600 --> 00:30:38,520
Speaker 1: into the full specifics of my conversation with that reporter,

581
00:30:38,640 --> 00:30:41,840
Speaker 1: but it was generally implied that there was a relationship

582
00:30:42,040 --> 00:30:45,520
Speaker 1: between the reporter and between Vigaia Goda, and I was like, oh,

583
00:30:45,640 --> 00:30:47,520
Speaker 1: that's what this is all about. I pissed off your

584
00:30:47,640 --> 00:30:50,520
Speaker 1: you because you're her friend, right and it's like you're

585
00:30:50,560 --> 00:30:54,720
Speaker 1: attacking me and Elon because you're personal friends with this lady. Again,

586
00:30:54,760 --> 00:30:57,520
Speaker 1: I won't give you the exact specifics, but that was

587
00:30:57,600 --> 00:31:00,600
Speaker 1: the general contours of what happened, and whenever I was

588
00:31:00,680 --> 00:31:04,880
Speaker 1: yelling at her for basically smearing me, listen for this

589
00:31:04,920 --> 00:31:07,320
Speaker 1: particular article, I'm going to say, I don't have a

590
00:31:07,320 --> 00:31:10,200
Speaker 1: problem with it because of the context that I just explained.

591
00:31:10,280 --> 00:31:13,640
Speaker 1: But your point stands, and no one should be surprised

592
00:31:13,880 --> 00:31:17,280
Speaker 1: that the journalists covering the tech sector or cozy with

593
00:31:17,360 --> 00:31:20,680
Speaker 1: some of the top officials in the tech sector, because

594
00:31:20,720 --> 00:31:23,560
Speaker 1: that's the way all of journalism apparently works at this point.

595
00:31:23,800 --> 00:31:26,680
Speaker 1: You know, it's about your access, it's about your coziness.

596
00:31:26,720 --> 00:31:28,920
Speaker 1: It's about your you know, ability to get into these

597
00:31:28,960 --> 00:31:32,160
Speaker 1: circles and network in them. That's how you get elevated

598
00:31:32,200 --> 00:31:34,960
Speaker 1: in terms of your career prospects, not from holding them

599
00:31:35,000 --> 00:31:38,320
Speaker 1: to account, but from like holding their hands. That's basically

600
00:31:38,360 --> 00:31:40,440
Speaker 1: the way that you get ahead in these industries. You

601
00:31:40,480 --> 00:31:42,880
Speaker 1: say the same thing with Sam bankmuin Freed, right. I

602
00:31:42,920 --> 00:31:45,200
Speaker 1: mean the way that you know, they felt like they

603
00:31:45,240 --> 00:31:47,000
Speaker 1: were buddies with him and they got him and he

604
00:31:47,040 --> 00:31:49,440
Speaker 1: was the cool kid of crypto, and so none of

605
00:31:49,480 --> 00:31:52,920
Speaker 1: the scrutiny that he deserved ultimately was there. And you

606
00:31:52,960 --> 00:31:55,160
Speaker 1: also have to say, like you know, a lot of

607
00:31:55,240 --> 00:32:00,400
Speaker 1: the reporters covering this beat, they are ideologically in saying

608
00:32:00,480 --> 00:32:03,719
Speaker 1: because they're journalists, they are ideologically in favor of censorship.

609
00:32:03,880 --> 00:32:08,440
Speaker 1: So they don't see what Joel Roth and Vijaya Gotti

610
00:32:08,640 --> 00:32:11,680
Speaker 1: were doing as problematic at all. They see them as

611
00:32:11,720 --> 00:32:14,320
Speaker 1: like heroes in this story, and so of course they

612
00:32:14,360 --> 00:32:17,600
Speaker 1: wouldn't apply critical lens because in their view, they're doing

613
00:32:17,640 --> 00:32:20,640
Speaker 1: the right thing. No, I think you're right. There's clearly

614
00:32:20,680 --> 00:32:23,000
Speaker 1: like a weird high school element to this. But the

615
00:32:23,000 --> 00:32:25,280
Speaker 1: reason it matters is these people are all very powerful

616
00:32:25,320 --> 00:32:27,840
Speaker 1: and look, I got my criticisms of the political press.

617
00:32:27,880 --> 00:32:30,120
Speaker 1: Even they would be humiliated to act the way that

618
00:32:30,200 --> 00:32:32,400
Speaker 1: some of these tech journalists are. I think it's crazy,

619
00:32:32,480 --> 00:32:35,400
Speaker 1: like watching Kara Swisher and so some of these other

620
00:32:35,400 --> 00:32:39,200
Speaker 1: Bloomberg Washington Post lady who attacked me like they're basically

621
00:32:39,320 --> 00:32:41,120
Speaker 1: using their I mean, here's what I would say. The

622
00:32:41,160 --> 00:32:43,680
Speaker 1: Bloomberg White House team, I know they would never act

623
00:32:43,680 --> 00:32:46,560
Speaker 1: this way with the Biden team. There is something uniquely

624
00:32:46,720 --> 00:32:49,760
Speaker 1: bad about the Taylor Rens is the Ben Collins, the

625
00:32:49,760 --> 00:32:52,960
Speaker 1: Brandy whatever her name is over at NBC News, plus

626
00:32:53,040 --> 00:32:57,040
Speaker 1: the tech journals, where they are so ideologically committed to

627
00:32:57,120 --> 00:33:01,040
Speaker 1: the entire idea of censorship and misinformation and defending those

628
00:33:01,080 --> 00:33:03,840
Speaker 1: people at all costs. I find it insane because they

629
00:33:03,880 --> 00:33:07,120
Speaker 1: really don't realize how powerful that they actually are. Okay,

630
00:33:07,120 --> 00:33:09,760
Speaker 1: that's a conversation around the media. But let's get back

631
00:33:09,800 --> 00:33:14,160
Speaker 1: to what Elon was actually talking about with Fauci. Because Fauci,

632
00:33:14,520 --> 00:33:17,560
Speaker 1: as we've said, is retiring. This is actually his last month,

633
00:33:17,840 --> 00:33:20,520
Speaker 1: and he went out with a real bang in the

634
00:33:20,560 --> 00:33:22,680
Speaker 1: New York Times to put up there on the screen.

635
00:33:23,280 --> 00:33:25,920
Speaker 1: He says, doctor Anthony Fauci a message to the next

636
00:33:25,960 --> 00:33:29,920
Speaker 1: generation of scientists. I will just highlight what's not in

637
00:33:29,960 --> 00:33:34,840
Speaker 1: the message. Gain of function, anything about funding or researching

638
00:33:34,960 --> 00:33:40,920
Speaker 1: dangerous viruses in labs, anything about the lab league, anything

639
00:33:40,920 --> 00:33:44,160
Speaker 1: about being truthful with the American people. I read the

640
00:33:44,280 --> 00:33:47,920
Speaker 1: entire thing. It is really just like a hagiography to himself,

641
00:33:47,960 --> 00:33:49,880
Speaker 1: which shows you how much of an egotist he is.

642
00:33:50,320 --> 00:33:53,800
Speaker 1: About his long career fighting HIV AIDS by the way,

643
00:33:53,840 --> 00:33:56,000
Speaker 1: which there's a lot of criticis about the way that

644
00:33:56,040 --> 00:34:00,800
Speaker 1: he handled HIV aids and the whole was a some

645
00:34:00,840 --> 00:34:04,560
Speaker 1: of the initial clinical trials and essentially some of the

646
00:34:04,640 --> 00:34:08,240
Speaker 1: policies that he greenlit also at the time, but secondary

647
00:34:08,400 --> 00:34:13,040
Speaker 1: he does not address even once the criticism of himself

648
00:34:13,360 --> 00:34:17,839
Speaker 1: and also his conflation of himself with science, which was

649
00:34:18,080 --> 00:34:21,920
Speaker 1: perhaps the greatest blow to the scientific method and to

650
00:34:22,719 --> 00:34:26,760
Speaker 1: the scientific establishment itself in modern history. I mean, Vinet

651
00:34:26,840 --> 00:34:29,680
Speaker 1: Pissad is highlighted here. Many of the missteps and the

652
00:34:29,719 --> 00:34:34,080
Speaker 1: mistakes of the vaccination campaign are already killing polio vaccination

653
00:34:34,239 --> 00:34:37,839
Speaker 1: campaigns for children. You can expect measles to go through

654
00:34:37,840 --> 00:34:40,120
Speaker 1: the roof after this. A lot of people are going

655
00:34:40,200 --> 00:34:42,080
Speaker 1: to have a hell of a lot more questions around

656
00:34:42,160 --> 00:34:45,839
Speaker 1: child immunizations. They are going to not trust any sort

657
00:34:45,880 --> 00:34:48,640
Speaker 1: of Okay, let me ask you this. If they came

658
00:34:48,680 --> 00:34:50,520
Speaker 1: out and said you need to wear a mask again tomorrow,

659
00:34:50,560 --> 00:34:52,680
Speaker 1: which actually the CDC has come out and said and

660
00:34:52,760 --> 00:34:55,600
Speaker 1: is recommending masks during a holiday travel in the year

661
00:34:55,640 --> 00:34:59,000
Speaker 1: twenty twenty two. When you see that and nobody abides

662
00:34:59,040 --> 00:35:01,920
Speaker 1: by it, you've act actually diminished your own ability to

663
00:35:02,000 --> 00:35:04,960
Speaker 1: influence public opinion. And I think he was at the

664
00:35:04,960 --> 00:35:07,520
Speaker 1: center of it. You always talk about those interviews that

665
00:35:07,600 --> 00:35:09,800
Speaker 1: he gave where he talked about how he would change

666
00:35:10,080 --> 00:35:13,319
Speaker 1: his scientific facts and benchmarks based on what he thought

667
00:35:13,320 --> 00:35:16,680
Speaker 1: public opinion was. Yes, yeah, I mean there's one line

668
00:35:16,680 --> 00:35:19,800
Speaker 1: in here that really stood down to me. He says

669
00:35:20,000 --> 00:35:26,680
Speaker 1: that such truths about viruses may be uncomfortable or politically inconvenient,

670
00:35:26,760 --> 00:35:31,560
Speaker 1: because extraordinary things can happen when science and politics work

671
00:35:31,600 --> 00:35:34,960
Speaker 1: and in hand. I was like, this one comment is

672
00:35:35,040 --> 00:35:38,359
Speaker 1: kind of revealing. I mean, listen, at this point, you know,

673
00:35:38,600 --> 00:35:44,840
Speaker 1: the hagiography of Fauci, the lionizing of him, the making

674
00:35:44,920 --> 00:35:48,440
Speaker 1: him into a saint. I just don't understand how you

675
00:35:48,480 --> 00:35:51,839
Speaker 1: can still sustain it. I can imagine you saying, well,

676
00:35:51,880 --> 00:35:54,400
Speaker 1: I don't know that he deserves to be prosecuted. I

677
00:35:54,400 --> 00:35:56,400
Speaker 1: don't know that, you know, just pinning all the blame

678
00:35:56,440 --> 00:35:59,359
Speaker 1: on this one man that seems a little unhinged, Like, yes,

679
00:35:59,440 --> 00:36:02,520
Speaker 1: I think there is some Fauci derangement syndrome. But I

680
00:36:02,560 --> 00:36:04,320
Speaker 1: was actually I was just talking to a friend of

681
00:36:04,360 --> 00:36:06,960
Speaker 1: mine who's a nurse practitioner over the weekend, who is

682
00:36:07,080 --> 00:36:11,160
Speaker 1: a liberal, and she was telling me how damaging it was,

683
00:36:11,280 --> 00:36:14,640
Speaker 1: especially at the beginning of the pandemic, the straight out

684
00:36:14,719 --> 00:36:17,120
Speaker 1: lies that were going out from the government about how

685
00:36:17,120 --> 00:36:21,359
Speaker 1: many test kits were available, I mean those and that

686
00:36:21,800 --> 00:36:26,399
Speaker 1: was a huge, massive, embarrassing failure at the beginning of

687
00:36:26,480 --> 00:36:29,759
Speaker 1: this pandemic, where other you know, much less developed, much

688
00:36:29,840 --> 00:36:32,200
Speaker 1: less wealthy nations were able to get their acts together

689
00:36:32,239 --> 00:36:35,200
Speaker 1: on testing long before we did, and the government's trying

690
00:36:35,239 --> 00:36:38,040
Speaker 1: to cover it up. Oh, all the test kids are on. No, No,

691
00:36:38,320 --> 00:36:43,680
Speaker 1: they weren't. Obviously the uh of like just obvious lies

692
00:36:43,880 --> 00:36:46,319
Speaker 1: about masking that were the beginning of the pandemic. I

693
00:36:46,360 --> 00:36:48,040
Speaker 1: just don't know how you can look at these things.

694
00:36:48,040 --> 00:36:51,080
Speaker 1: The herd Immunity conference where you know the oh, the

695
00:36:51,120 --> 00:36:55,160
Speaker 1: percentage was constantly changing again based on what and Fauci

696
00:36:55,200 --> 00:36:57,640
Speaker 1: admitted this what he thought the public could handle at

697
00:36:57,680 --> 00:37:02,760
Speaker 1: the time. This to me, public health and politics shouldn't

698
00:37:02,800 --> 00:37:05,400
Speaker 1: be working hand in hand, at least in the person

699
00:37:05,560 --> 00:37:09,080
Speaker 1: of one individual. And he seemed to be trying to

700
00:37:09,719 --> 00:37:13,520
Speaker 1: massage the information or outright lie based on what he

701
00:37:13,960 --> 00:37:17,279
Speaker 1: thought the public could deal with. That is not your job.

702
00:37:17,400 --> 00:37:19,279
Speaker 1: Your job is to tell us what the facts are,

703
00:37:19,400 --> 00:37:22,600
Speaker 1: even if they're bad, even if they're difficult, even if

704
00:37:22,600 --> 00:37:26,040
Speaker 1: you're worried about how the American people will ultimately receive it.

705
00:37:26,120 --> 00:37:29,400
Speaker 1: And so at this late stage in the game, given

706
00:37:29,560 --> 00:37:33,960
Speaker 1: everything that we know, given his own admissions of the

707
00:37:33,960 --> 00:37:36,360
Speaker 1: way that he operated in this pandemic, I don't know

708
00:37:36,400 --> 00:37:40,040
Speaker 1: how you run a piece like this without any like

709
00:37:40,520 --> 00:37:44,040
Speaker 1: any edits, any criticism, anything other than this just sort

710
00:37:44,080 --> 00:37:47,479
Speaker 1: of like glowing portrait that he paints off. It really

711
00:37:47,520 --> 00:37:49,920
Speaker 1: is outrageous. And you know, look, let's put the next

712
00:37:49,920 --> 00:37:51,879
Speaker 1: one up there on the screen. Republicans say that they're

713
00:37:51,880 --> 00:37:55,399
Speaker 1: going to investigate doctor Fauci. We'll see, he's slippery little guy.

714
00:37:55,680 --> 00:37:58,480
Speaker 1: Whenever we were off Crystal, Emily and Ryan did a

715
00:37:58,480 --> 00:38:01,200
Speaker 1: great job of covering his depth position. And I just

716
00:38:01,239 --> 00:38:04,480
Speaker 1: want to read you again what he said whenever he

717
00:38:04,560 --> 00:38:07,200
Speaker 1: was asked about gain of function research. Quote. Gain of

718
00:38:07,239 --> 00:38:10,560
Speaker 1: function is a very potentially misleading terminology and one of

719
00:38:10,600 --> 00:38:13,160
Speaker 1: the reasons why years ago we made the determination it

720
00:38:13,200 --> 00:38:15,600
Speaker 1: would be much better to define the guardrails of experiments

721
00:38:15,640 --> 00:38:18,160
Speaker 1: that would require additional oversight, and we did a way

722
00:38:18,320 --> 00:38:21,760
Speaker 1: because it is very confusing and misleading. And he again

723
00:38:21,840 --> 00:38:25,200
Speaker 1: in this whole exchange, plays all these word games to

724
00:38:25,360 --> 00:38:28,840
Speaker 1: deny funding gain of function research by just changing the

725
00:38:28,920 --> 00:38:32,480
Speaker 1: definition of gain of function research. We have the documents

726
00:38:32,680 --> 00:38:36,000
Speaker 1: you funded it. No ifans or butts. You have funded

727
00:38:36,200 --> 00:38:39,719
Speaker 1: research at the Wuhan Lab and used your position under

728
00:38:39,760 --> 00:38:42,560
Speaker 1: the Trump administration to reverse the previous ban on doing so.

729
00:38:42,920 --> 00:38:47,080
Speaker 1: Then after all this, you still gave money to the

730
00:38:47,160 --> 00:38:51,880
Speaker 1: same organization which funded the Wuhan Lab for back coronavirus

731
00:38:52,000 --> 00:38:55,800
Speaker 1: research in twenty twenty two, of which we have documented

732
00:38:55,840 --> 00:39:00,520
Speaker 1: and shown on the show public record from actual from

733
00:39:00,600 --> 00:39:03,919
Speaker 1: avictual government documents showing the actual amount of funds being

734
00:39:03,960 --> 00:39:06,120
Speaker 1: dispersed by the National Institute of Health. Like we have

735
00:39:06,239 --> 00:39:09,560
Speaker 1: watched the full scale corruption of the science industry. I

736
00:39:09,560 --> 00:39:12,200
Speaker 1: think he's done a tremendous amount of damage on this front.

737
00:39:12,239 --> 00:39:14,120
Speaker 1: And you don't have to like Trump to agree with

738
00:39:14,239 --> 00:39:17,440
Speaker 1: anything that I'm saying. Just ask ask actual nurses as

739
00:39:17,480 --> 00:39:20,240
Speaker 1: you did ask actual doctors. They will tell you about

740
00:39:20,239 --> 00:39:23,680
Speaker 1: what where current like trust public trust is is in science.

741
00:39:23,719 --> 00:39:26,279
Speaker 1: And it's not people like us who are criticizing him.

742
00:39:26,320 --> 00:39:28,239
Speaker 1: It's not our fault that it got there. Like he

743
00:39:28,360 --> 00:39:30,320
Speaker 1: was the person who was in charge. He made himself

744
00:39:30,360 --> 00:39:33,400
Speaker 1: a lightning rod. He's proven lies now to the American

745
00:39:33,440 --> 00:39:35,960
Speaker 1: public and several times, and look, I think he'll get

746
00:39:35,960 --> 00:39:38,200
Speaker 1: away with it. I don't think he will ever have

747
00:39:38,320 --> 00:39:41,600
Speaker 1: any real reckoning that said, like, I hope we get

748
00:39:41,600 --> 00:39:44,279
Speaker 1: more of these types of depositions and or other things. Yeah,

749
00:39:44,360 --> 00:39:46,360
Speaker 1: I mean, I would like there to be a serious

750
00:39:46,480 --> 00:39:49,799
Speaker 1: investigation of the failures in this pandemic, of how we

751
00:39:49,920 --> 00:39:53,719
Speaker 1: ended up with this pandemic, of where our research dollars

752
00:39:53,840 --> 00:39:57,200
Speaker 1: are going towards in terms of preventing a future pandemic.

753
00:39:57,560 --> 00:40:01,160
Speaker 1: I would like to see a serious by partisan government

754
00:40:01,280 --> 00:40:03,440
Speaker 1: effort to accomplish that. I don't have a lot of

755
00:40:03,480 --> 00:40:06,000
Speaker 1: hope that's what we're ultimately going to get. Yeah. Absolutely.

756
00:40:11,600 --> 00:40:16,600
Speaker 1: We have a few updates on the averted rail strike situation,

757
00:40:16,920 --> 00:40:20,120
Speaker 1: so just I'm sure you guys probably recall, but railroad

758
00:40:20,120 --> 00:40:23,799
Speaker 1: workers very unhappy with the working conditions that they have

759
00:40:23,880 --> 00:40:27,200
Speaker 1: been laboring under with basically no paid sick leave or

760
00:40:27,680 --> 00:40:30,680
Speaker 1: real time off, and so they were ready to strike

761
00:40:31,200 --> 00:40:34,759
Speaker 1: because of the Railway Labor Act. Ultimately, Congress, at the

762
00:40:34,760 --> 00:40:37,640
Speaker 1: behest of Biden was able to come in and cram

763
00:40:37,800 --> 00:40:40,440
Speaker 1: down this deal that they a majority of the workers

764
00:40:40,520 --> 00:40:44,120
Speaker 1: voted against that have been struck between the rail bosses

765
00:40:44,239 --> 00:40:47,319
Speaker 1: and the union leaders. So I won't go into all

766
00:40:47,360 --> 00:40:49,719
Speaker 1: the needy gritty of how that went down. But basically,

767
00:40:50,120 --> 00:40:53,680
Speaker 1: end of story. This deal that has one extra day,

768
00:40:53,960 --> 00:40:57,239
Speaker 1: one day of paid sick leave, gets crammed down on them,

769
00:40:57,280 --> 00:41:00,480
Speaker 1: and that is where we stand. However, that does have

770
00:41:00,920 --> 00:41:03,120
Speaker 1: to be the end of the story. Let's go and

771
00:41:03,200 --> 00:41:06,080
Speaker 1: put this up on the screen. So this is from

772
00:41:06,160 --> 00:41:08,520
Speaker 1: common Dreams, they said, Biden is being urged to sign

773
00:41:08,560 --> 00:41:13,640
Speaker 1: an executive order which would guarantee rail workers paid sickle

774
00:41:14,040 --> 00:41:18,920
Speaker 1: Now here's the mechanics of this. Back under Obama, Obama

775
00:41:19,040 --> 00:41:22,920
Speaker 1: actually signed an executive order that would mandate at least seven,

776
00:41:22,960 --> 00:41:24,600
Speaker 1: which was the number of days that these workers were

777
00:41:24,600 --> 00:41:27,640
Speaker 1: asking for, as well, paid sick days for employees of

778
00:41:27,760 --> 00:41:32,360
Speaker 1: federal contractors. Now that should apply to rail workers because

779
00:41:32,400 --> 00:41:37,160
Speaker 1: all of these rail freight companies are in fact federal contractors. However,

780
00:41:37,200 --> 00:41:41,320
Speaker 1: when Obama signed this executive order, for some unknown reason,

781
00:41:41,719 --> 00:41:46,680
Speaker 1: he included a specific exclusion clause for rail workers. But

782
00:41:46,760 --> 00:41:50,640
Speaker 1: there is zero reason why President Biden could not sign

783
00:41:50,760 --> 00:41:54,000
Speaker 1: the exact same executive order, which would be a good thing,

784
00:41:54,239 --> 00:41:57,319
Speaker 1: you know, putting the rail workers aside, mandating at least

785
00:41:57,360 --> 00:42:00,920
Speaker 1: seven paid sick days, and not to have the exclusion

786
00:42:01,040 --> 00:42:05,240
Speaker 1: for rail workers this time around, and in fact urged

787
00:42:05,239 --> 00:42:08,759
Speaker 1: and encouraged by the unions themselves. Bernie, let's go and

788
00:42:08,840 --> 00:42:11,080
Speaker 1: put this next piece up on the screen. Is leading

789
00:42:11,080 --> 00:42:15,040
Speaker 1: seventy two House and Senate Democrats in urging President Biden

790
00:42:15,080 --> 00:42:18,879
Speaker 1: to sign an executive order that would do exactly that.

791
00:42:19,800 --> 00:42:22,600
Speaker 1: So this was their plan after the attempt to get

792
00:42:22,600 --> 00:42:25,680
Speaker 1: six days added through the legislative process. After that failed,

793
00:42:26,000 --> 00:42:29,080
Speaker 1: this is now the new push from union leaders. And

794
00:42:29,880 --> 00:42:33,680
Speaker 1: I just don't see any way, Like, what excuse can

795
00:42:33,719 --> 00:42:38,239
Speaker 1: you make for not doing this. The legal precedent already exists,

796
00:42:38,600 --> 00:42:42,040
Speaker 1: so it's not even a stretch of your legal authorities.

797
00:42:42,320 --> 00:42:45,359
Speaker 1: It's the exact same executive order of that Obama sign.

798
00:42:45,480 --> 00:42:47,319
Speaker 1: All you have to do is get rid of that

799
00:42:47,440 --> 00:42:50,840
Speaker 1: exclusion clause for rail workers, and there you go. You

800
00:42:50,920 --> 00:42:53,920
Speaker 1: have at least somewhat of a win for these workers.

801
00:42:53,960 --> 00:42:57,120
Speaker 1: When you know President Biden claims to be labor, claims

802
00:42:57,160 --> 00:43:00,160
Speaker 1: to be the most pro labor president in history, you

803
00:43:00,239 --> 00:43:04,000
Speaker 1: got a chance prove that you actually care about these

804
00:43:04,080 --> 00:43:06,439
Speaker 1: human beings and that you didn't just sell them down

805
00:43:06,440 --> 00:43:09,319
Speaker 1: the river at the first possible chance. So the next

806
00:43:09,320 --> 00:43:11,240
Speaker 1: one up there on the screen, because this is important.

807
00:43:11,320 --> 00:43:15,120
Speaker 1: The issue is that these people are federal contractors, and

808
00:43:15,160 --> 00:43:18,600
Speaker 1: that is why we have the authority. I actually fully

809
00:43:18,640 --> 00:43:22,759
Speaker 1: support the whole using government policy against federal contractors to

810
00:43:22,760 --> 00:43:25,400
Speaker 1: try and compel behavior because they can choose not to

811
00:43:25,400 --> 00:43:27,680
Speaker 1: do government with business with the government if they want,

812
00:43:27,880 --> 00:43:30,920
Speaker 1: and yet they aren't. And here what Ryan really outlaid

813
00:43:31,120 --> 00:43:34,360
Speaker 1: is that the way that many of these private companies

814
00:43:34,680 --> 00:43:38,560
Speaker 1: have leveraged their private status to boost profits, take government

815
00:43:38,680 --> 00:43:42,360
Speaker 1: and then also use their influence to go after the GOP.

816
00:43:42,520 --> 00:43:45,400
Speaker 1: And what Ryan reveals is that railroad workers were on

817
00:43:45,480 --> 00:43:48,640
Speaker 1: track to get the ten to eleven Senate Republican votes

818
00:43:48,680 --> 00:43:52,200
Speaker 1: for sick days. However, after the Chamber of Commerce came

819
00:43:52,239 --> 00:43:54,680
Speaker 1: out and said that it would quote score the vote,

820
00:43:54,920 --> 00:43:58,200
Speaker 1: four of the hard yes votes evaporated and they only

821
00:43:58,239 --> 00:44:00,200
Speaker 1: got six on the day of the vote. If they'd

822
00:44:00,239 --> 00:44:03,080
Speaker 1: gotten ten or eleven votes, Crystal, they would have actually

823
00:44:03,080 --> 00:44:06,800
Speaker 1: passed a sick leave measure. And so the railroad companies,

824
00:44:06,840 --> 00:44:09,799
Speaker 1: which again make billions of dollars and billions and more

825
00:44:09,880 --> 00:44:12,000
Speaker 1: in profits in the last ten years, and who have

826
00:44:12,080 --> 00:44:15,920
Speaker 1: basically bought the congressional system, used the Chamber of Commerce

827
00:44:15,960 --> 00:44:18,680
Speaker 1: as their lobbying organization to protect their profits. Yes, and

828
00:44:18,719 --> 00:44:22,080
Speaker 1: it's all really a corrupt scheme because the Republicans could

829
00:44:22,080 --> 00:44:25,080
Speaker 1: not afford or in their minds, could not afford getting

830
00:44:25,200 --> 00:44:28,120
Speaker 1: a bad vote scored by the Chamber of Commerce. It's

831
00:44:28,120 --> 00:44:30,399
Speaker 1: like it all rolls together, and I think it's why

832
00:44:30,440 --> 00:44:33,000
Speaker 1: it's important to lay out the exact context here. It

833
00:44:33,040 --> 00:44:36,279
Speaker 1: shows you how powerful the Chamber of Commerce continues to be.

834
00:44:37,160 --> 00:44:40,759
Speaker 1: It shows you how powerful capital in general continues to be.

835
00:44:41,480 --> 00:44:45,920
Speaker 1: Any sort of like pro worker rhetoric. Aside losing mansion, also,

836
00:44:46,160 --> 00:44:49,440
Speaker 1: I think over the Chamber of Commerce scoring just grotesque

837
00:44:49,480 --> 00:44:51,319
Speaker 1: was also a big blow to them. But you know,

838
00:44:51,440 --> 00:44:53,400
Speaker 1: Ryan goes through and I encourage you to read the

839
00:44:53,400 --> 00:44:56,320
Speaker 1: whole story because he really has the in depth breakdown

840
00:44:56,440 --> 00:44:58,640
Speaker 1: of what was happening on Capitol Hill and how these

841
00:44:58,680 --> 00:45:02,120
Speaker 1: negotiations were all unfolded. What the union leaders, and in

842
00:45:02,160 --> 00:45:04,879
Speaker 1: particular this one sort of like militant caucus of rank

843
00:45:04,880 --> 00:45:07,600
Speaker 1: and file workers, what they were pushing for in terms

844
00:45:07,600 --> 00:45:11,600
Speaker 1: of what they wanted legislators to ultimately do. And also

845
00:45:11,760 --> 00:45:16,879
Speaker 1: the deep, deep, and very justified sense of betrayal of

846
00:45:18,239 --> 00:45:21,080
Speaker 1: Biden and the Democrats because again they heard the rhetoric

847
00:45:21,120 --> 00:45:23,840
Speaker 1: about most pro labor president in history. There's a reason

848
00:45:23,840 --> 00:45:26,000
Speaker 1: why they waited until Biden was in the White House

849
00:45:26,040 --> 00:45:29,960
Speaker 1: to really make this move and push for more, and ultimately,

850
00:45:30,160 --> 00:45:34,040
Speaker 1: you know, they ended up with this Presidential Emergency Board proposal,

851
00:45:34,080 --> 00:45:36,799
Speaker 1: which was total shit. Then they end up with this

852
00:45:37,160 --> 00:45:40,600
Speaker 1: negotiation between Pete budhaj Ede and Marty Walsh's labor secretary

853
00:45:40,760 --> 00:45:43,719
Speaker 1: and the union leaders and the rail bosses, which was

854
00:45:43,760 --> 00:45:47,919
Speaker 1: only a moderate incremental improvement. And they said they kind

855
00:45:47,920 --> 00:45:50,920
Speaker 1: of knew from the beginning that they were ultimately going

856
00:45:50,960 --> 00:45:53,520
Speaker 1: to get a deal crammed down on them from Congress

857
00:45:53,560 --> 00:45:55,880
Speaker 1: because of the Railway Labor Act and the way that

858
00:45:55,920 --> 00:45:58,840
Speaker 1: hands so much power ultimately to the rail bosses, the

859
00:45:58,880 --> 00:46:01,960
Speaker 1: way it really strips them of any sort of ultimate leverage.

860
00:46:02,120 --> 00:46:04,680
Speaker 1: But they thought maybe with Biden the Democrats, they could

861
00:46:04,719 --> 00:46:07,520
Speaker 1: get a bit more than what they were ultimately able

862
00:46:07,600 --> 00:46:10,440
Speaker 1: to achieve here. And there were also a lot of

863
00:46:10,560 --> 00:46:15,319
Speaker 1: questions over whether the vote on paid six days that

864
00:46:15,360 --> 00:46:17,680
Speaker 1: went through, that that passed the House and then got

865
00:46:17,680 --> 00:46:19,759
Speaker 1: a majority votes in the Senate but failed because of

866
00:46:19,760 --> 00:46:22,920
Speaker 1: the filibuster in the Senate, whether this was just a

867
00:46:23,000 --> 00:46:26,319
Speaker 1: show vote, or whether they really thought that maybe this

868
00:46:26,400 --> 00:46:31,000
Speaker 1: had a chance to get through. And according to Ryan's reporting.

869
00:46:31,239 --> 00:46:34,000
Speaker 1: You know, there was some indication that they might actually

870
00:46:34,040 --> 00:46:35,799
Speaker 1: be able to get there. Now, I think they knew

871
00:46:35,800 --> 00:46:38,400
Speaker 1: it was a hail Mary. I think they knew their

872
00:46:38,440 --> 00:46:40,840
Speaker 1: goose was kind of cooked at that point because Biden

873
00:46:40,880 --> 00:46:43,319
Speaker 1: decided to side with the rail bosses in such a

874
00:46:43,320 --> 00:46:46,560
Speaker 1: heavy handed manner. But they really thought they had a

875
00:46:46,600 --> 00:46:49,000
Speaker 1: realistic shot at this. And now, like I said, to

876
00:46:49,280 --> 00:46:51,680
Speaker 1: start the block, the real play here is to try

877
00:46:51,680 --> 00:46:54,040
Speaker 1: to pressure Biden to sign this executive order, which there

878
00:46:54,120 --> 00:46:57,680
Speaker 1: is just literally no reason not to do it other

879
00:46:57,760 --> 00:47:01,520
Speaker 1: than just caving to corporate And if you've pulled this,

880
00:47:01,680 --> 00:47:05,280
Speaker 1: if you pulled the American people on this seven paid

881
00:47:05,640 --> 00:47:09,759
Speaker 1: sick days for federal employees of federal contractors, what would

882
00:47:09,800 --> 00:47:12,840
Speaker 1: it pull at seventy percent, eighty percent, I mean, it

883
00:47:12,880 --> 00:47:18,360
Speaker 1: would be overwhelming. This is the most basic of worker

884
00:47:18,680 --> 00:47:21,840
Speaker 1: rights that should be in place for every single worker

885
00:47:21,920 --> 00:47:24,319
Speaker 1: in the country. So if he doesn't do this, I mean,

886
00:47:24,360 --> 00:47:27,600
Speaker 1: it's just it's just already such a betrayal. And this

887
00:47:27,680 --> 00:47:30,319
Speaker 1: is ultimately completely pathetical and it is just straight up

888
00:47:30,360 --> 00:47:33,919
Speaker 1: discrimination against the rail workers because specifically excluded by law,

889
00:47:33,960 --> 00:47:36,120
Speaker 1: which should not be as a total carve out to

890
00:47:36,280 --> 00:47:39,440
Speaker 1: the companies and again, the companies they can do business elsewhere,

891
00:47:39,440 --> 00:47:41,160
Speaker 1: they don't have to do business with the federal government,

892
00:47:41,320 --> 00:47:44,520
Speaker 1: but they make billions in federal government contracts there go,

893
00:47:44,880 --> 00:47:47,320
Speaker 1: federal policy should be that you can't get a contract

894
00:47:47,360 --> 00:47:50,920
Speaker 1: unless you abide by X, Y, and Z work conditions.

895
00:47:51,360 --> 00:47:54,160
Speaker 1: Doesn't sound like crazy to me, not at all. And

896
00:47:54,200 --> 00:47:56,680
Speaker 1: this is a man who promised on the campaign trail

897
00:47:57,080 --> 00:48:00,680
Speaker 1: that he would not give federal contracts to un investors.

898
00:48:01,680 --> 00:48:04,440
Speaker 1: So he used that rhetoric on the trail of using

899
00:48:04,480 --> 00:48:08,080
Speaker 1: the federal government power of the purse in order to

900
00:48:08,120 --> 00:48:11,439
Speaker 1: make sure that companies were doing the basics and doing

901
00:48:11,520 --> 00:48:14,640
Speaker 1: right by their workers. So here's an opportunity to prove

902
00:48:14,680 --> 00:48:17,160
Speaker 1: you actually mean it, Joe Biden. And also, just as

903
00:48:17,160 --> 00:48:18,560
Speaker 1: another side note, I think we're going to talk to

904
00:48:18,640 --> 00:48:20,719
Speaker 1: Lever more about this because they broke the story over

905
00:48:20,880 --> 00:48:23,920
Speaker 1: on their site. But one of the big rail freight companies,

906
00:48:24,120 --> 00:48:28,200
Speaker 1: like immediately after this deal with crammed down workers Throats,

907
00:48:28,400 --> 00:48:32,160
Speaker 1: announced they were doing a big shareholder diffidend. So the

908
00:48:32,200 --> 00:48:34,920
Speaker 1: backstory of all of this, as you always point out, Zager,

909
00:48:35,120 --> 00:48:38,759
Speaker 1: is the record breaking amounts of profit that these companies,

910
00:48:38,760 --> 00:48:40,600
Speaker 1: one of which by the way, is owned by Warren

911
00:48:40,640 --> 00:48:44,960
Speaker 1: Buffett that they are raking in while they deny their

912
00:48:45,000 --> 00:48:49,840
Speaker 1: workers the very basics of Paisick leave. Yeah, I completely agree,

913
00:48:49,920 --> 00:48:51,799
Speaker 1: all right, guys. Nowother big thing that's happening here in

914
00:48:51,880 --> 00:48:55,920
Speaker 1: DC this week is it looks like Sam Bankman Freed

915
00:48:56,080 --> 00:49:00,000
Speaker 1: may testify in front of the House Financial Services Committee

916
00:49:00,080 --> 00:49:03,760
Speaker 1: at least in some sort of a potentially limited way tomorrow.

917
00:49:03,920 --> 00:49:06,000
Speaker 1: So we'll be watching for how all of that goes down.

918
00:49:06,000 --> 00:49:07,520
Speaker 1: But let me give you the back and forth year

919
00:49:07,520 --> 00:49:09,680
Speaker 1: that led to this because it is kind of interesting.

920
00:49:10,000 --> 00:49:12,600
Speaker 1: God put this up on the screen from CNBC. So

921
00:49:12,680 --> 00:49:16,960
Speaker 1: the chair of the House Financial Services Committee is one

922
00:49:17,040 --> 00:49:22,040
Speaker 1: Maxine Waters, who has been pictured arms around Sam Bankman Freed.

923
00:49:22,760 --> 00:49:25,040
Speaker 1: There's a video of her like blowing him a kiss.

924
00:49:25,080 --> 00:49:29,480
Speaker 1: They were obviously very cozy. She had originally, according to

925
00:49:29,480 --> 00:49:34,279
Speaker 1: this report from CMBC, told Democrats on that committee that

926
00:49:34,360 --> 00:49:37,920
Speaker 1: she doesn't plan to subpoena former FDx CEO Sam Bankman

927
00:49:38,000 --> 00:49:41,800
Speaker 1: Freed to testify at the hearing tomorrow about the crypto

928
00:49:41,880 --> 00:49:45,880
Speaker 1: exchange is rapid demise. She informed committee members of that

929
00:49:45,920 --> 00:49:48,520
Speaker 1: decision at a private meeting, and she said she wants

930
00:49:48,520 --> 00:49:52,960
Speaker 1: committee staff to try to persuade Bankman free to voluntarily testify.

931
00:49:54,320 --> 00:49:57,319
Speaker 1: So she does this. She puts out this very nice, like,

932
00:49:57,400 --> 00:50:00,879
Speaker 1: we really appreciate the way you've been transported parent, how

933
00:50:00,880 --> 00:50:04,040
Speaker 1: you've been talking publicly about what happened at FTX. Can

934
00:50:04,040 --> 00:50:06,600
Speaker 1: you please, pretty please come and testify. Obviously those were

935
00:50:06,640 --> 00:50:10,840
Speaker 1: not her exact words. His initial response was basically like yeah, no.

936
00:50:11,600 --> 00:50:14,480
Speaker 1: He said, once I've finished learning and reviewing what happened,

937
00:50:14,480 --> 00:50:16,120
Speaker 1: I would feel like it was my duty to appear

938
00:50:16,160 --> 00:50:17,839
Speaker 1: before the committee and explained I'm not sure that will

939
00:50:17,840 --> 00:50:21,640
Speaker 1: happen by the thirteenth, but when it does, I will testify. However,

940
00:50:21,719 --> 00:50:23,239
Speaker 1: let's put this next piece up on the screen from

941
00:50:23,280 --> 00:50:25,839
Speaker 1: the New York Times. In an early morning post on

942
00:50:25,880 --> 00:50:29,239
Speaker 1: Twitter on Friday, he said he will now appear on

943
00:50:29,320 --> 00:50:32,960
Speaker 1: Tuesday before the House Committee on Financial Services, and it's

944
00:50:33,000 --> 00:50:35,680
Speaker 1: going to focus on the sudden collapse obviously of FTX,

945
00:50:36,200 --> 00:50:40,360
Speaker 1: the crypto exchange that he founded. There's a separate question

946
00:50:40,719 --> 00:50:43,480
Speaker 1: as to whether or not he's going to testify in

947
00:50:43,520 --> 00:50:47,360
Speaker 1: front of the Senate, the affiliated committee on the Senate

948
00:50:47,560 --> 00:50:49,880
Speaker 1: that is led by Shared Brown. He said in a

949
00:50:49,960 --> 00:50:52,839
Speaker 1: letter that if the cryptocurrency trader was unwilling to speak

950
00:50:52,840 --> 00:50:55,400
Speaker 1: to the committee. He was prepared to issue a subpoena

951
00:50:55,520 --> 00:50:58,920
Speaker 1: to compel his testimony. Obviously, this all really matters because

952
00:50:59,160 --> 00:51:02,400
Speaker 1: Sam Bankman Freed has been on this whole like media publicity,

953
00:51:02,480 --> 00:51:05,720
Speaker 1: weird tour, some of which we have covered, and actually

954
00:51:06,239 --> 00:51:07,920
Speaker 1: by the time this post, he may have done another

955
00:51:07,920 --> 00:51:10,960
Speaker 1: interview with Unusual Whales, which we'll be watching very closely

956
00:51:11,280 --> 00:51:14,480
Speaker 1: if it does in fact happen. But when you testify

957
00:51:14,520 --> 00:51:17,200
Speaker 1: in front of Congress, that's a different deal in terms

958
00:51:17,239 --> 00:51:19,840
Speaker 1: of the legal implication. So that's why this is so

959
00:51:19,880 --> 00:51:21,920
Speaker 1: significan yeah, exact, and that's the point. He's willing to

960
00:51:21,960 --> 00:51:24,920
Speaker 1: do interviews with anybody, except whenever it says it a

961
00:51:24,920 --> 00:51:30,959
Speaker 1: little squirrely, whenever you're testifying on under oath, what different day. Look,

962
00:51:31,000 --> 00:51:32,640
Speaker 1: I think we're probably going to get a lot of

963
00:51:32,719 --> 00:51:35,680
Speaker 1: I wasn't aware. I don't recall he seems to be

964
00:51:35,719 --> 00:51:37,120
Speaker 1: the master of that, and every single one of the

965
00:51:37,160 --> 00:51:40,160
Speaker 1: interviews that he's given so far, except for a few,

966
00:51:40,239 --> 00:51:42,640
Speaker 1: he really hasn't been caught on many of his lives.

967
00:51:42,640 --> 00:51:47,160
Speaker 1: And I don't personally trust Maxine Waters, especially like why

968
00:51:47,280 --> 00:51:49,560
Speaker 1: even rule the testimony out with subpoena out in the

969
00:51:49,560 --> 00:51:53,000
Speaker 1: first place. He obviously should be subpoena. That way they

970
00:51:53,080 --> 00:51:55,960
Speaker 1: get to set the conditions, and it's not voluntary. There's

971
00:51:55,960 --> 00:51:58,680
Speaker 1: a lot of questions to still remain, and whether he's

972
00:51:58,719 --> 00:52:01,880
Speaker 1: even actually going to show up, we don't know. He

973
00:52:01,960 --> 00:52:05,480
Speaker 1: says that he is set to testify at the House

974
00:52:05,560 --> 00:52:09,279
Speaker 1: hearing again, though he declined the Banking hearing because you know,

975
00:52:09,320 --> 00:52:10,680
Speaker 1: he said he would be tired or it would be

976
00:52:10,760 --> 00:52:14,840
Speaker 1: too much work, which is obviously ludicrous, and go forget

977
00:52:15,120 --> 00:52:17,400
Speaker 1: at the banking hearings in the Senate, they get a

978
00:52:17,440 --> 00:52:20,319
Speaker 1: lot more time. There's not a lot of time at

979
00:52:20,360 --> 00:52:23,560
Speaker 1: these House hearings whenever they ask questions, it's only a

980
00:52:23,600 --> 00:52:26,799
Speaker 1: few minutes. At the Senate hearings, their committee hearings, they

981
00:52:26,800 --> 00:52:29,160
Speaker 1: have much more leeway in order to not only ask

982
00:52:29,239 --> 00:52:31,799
Speaker 1: more questions, but they can actually do more follow up.

983
00:52:31,880 --> 00:52:34,160
Speaker 1: So I think there's a strategic reason, as he doesn't

984
00:52:34,160 --> 00:52:36,360
Speaker 1: have any real allies on the Senate Banking Committee, or

985
00:52:36,400 --> 00:52:38,720
Speaker 1: at least not the head of the Senate Banking Committee

986
00:52:38,719 --> 00:52:40,120
Speaker 1: the way that he does with the House. Well, and

987
00:52:40,160 --> 00:52:42,440
Speaker 1: you also just wonder what these members of Congress like,

988
00:52:42,719 --> 00:52:45,640
Speaker 1: how sophisticated are they going to be in their understanding,

989
00:52:45,800 --> 00:52:47,560
Speaker 1: how good are their questions going to be, how much

990
00:52:47,640 --> 00:52:50,799
Speaker 1: they really like just even comprehend what happened here and

991
00:52:50,840 --> 00:52:52,920
Speaker 1: what you know they should be prossing on and should

992
00:52:52,920 --> 00:52:55,640
Speaker 1: be asking. I just checked did a cursory glance at

993
00:52:55,640 --> 00:52:58,240
Speaker 1: the members of the House Financial Services Committee. It's unfortunate

994
00:52:58,320 --> 00:53:00,520
Speaker 1: that Katie Porter isn't on there, because she's one person

995
00:53:00,520 --> 00:53:03,080
Speaker 1: that I feel like job would actually do a good job,

996
00:53:03,160 --> 00:53:05,000
Speaker 1: like I feel confident would do a good job in

997
00:53:05,080 --> 00:53:07,839
Speaker 1: terms of questioning him. So we'll see. I think you're right,

998
00:53:08,600 --> 00:53:10,960
Speaker 1: just like in the interview with The New York Times

999
00:53:11,000 --> 00:53:14,239
Speaker 1: that we covered, where he was very evasive and suddenly, oh,

1000
00:53:14,280 --> 00:53:16,520
Speaker 1: he didn't know that they had bought his parents a

1001
00:53:16,560 --> 00:53:19,120
Speaker 1: multi multimillion dollar beach house, and he didn't really know

1002
00:53:19,160 --> 00:53:21,760
Speaker 1: what Alameda was doing, and he just was like barely

1003
00:53:21,800 --> 00:53:25,200
Speaker 1: aware that the company even existed. You'll get a lot

1004
00:53:25,239 --> 00:53:28,040
Speaker 1: of that deflection as well, no doubt about it. But

1005
00:53:28,080 --> 00:53:30,120
Speaker 1: it may still be revealing. You never know if he

1006
00:53:30,200 --> 00:53:33,400
Speaker 1: might slip up and let something out that he really shouldn't.

1007
00:53:33,440 --> 00:53:36,640
Speaker 1: We'll watch it closely. Indeed, all right, another thing we

1008
00:53:36,680 --> 00:53:38,920
Speaker 1: wanted to bring to you today since we've been covering

1009
00:53:39,360 --> 00:53:41,759
Speaker 1: some of what's going on at the World Cup. Is

1010
00:53:41,800 --> 00:53:48,120
Speaker 1: we now have had two separate journalists die collapse very

1011
00:53:48,280 --> 00:53:52,160
Speaker 1: you know, kind of out of nowhere within forty eight hours.

1012
00:53:52,600 --> 00:53:56,000
Speaker 1: So one of them you all may already be familiar with,

1013
00:53:56,080 --> 00:53:57,960
Speaker 1: is a man named Grant Wall. Let's go ahead and

1014
00:53:58,000 --> 00:54:01,239
Speaker 1: put this first piece up on the screen. So this

1015
00:54:01,480 --> 00:54:05,560
Speaker 1: was his I think final Substack post, or close to it.

1016
00:54:05,680 --> 00:54:09,640
Speaker 1: He's a well known journalist, in particular in the soccer world.

1017
00:54:09,680 --> 00:54:12,240
Speaker 1: He also was very well known for his writing about

1018
00:54:12,239 --> 00:54:15,799
Speaker 1: college basketball. He says, free to read what happened when

1019
00:54:15,880 --> 00:54:18,600
Speaker 1: Qatar World Cup security detained me for twenty five minutes

1020
00:54:18,600 --> 00:54:21,759
Speaker 1: for wearing a T shirt supporting LGBTQ rights forcibly took

1021
00:54:21,760 --> 00:54:23,959
Speaker 1: my phone and angrily demanded it removed my T shirt

1022
00:54:24,000 --> 00:54:26,000
Speaker 1: to enter the stadium. I refuse. So sorry. This isn't

1023
00:54:25,960 --> 00:54:29,080
Speaker 1: the last Substack post. This is. We covered this where

1024
00:54:29,280 --> 00:54:33,399
Speaker 1: he was detained for wearing this rainbow T shirt because

1025
00:54:33,400 --> 00:54:38,279
Speaker 1: obviously in Qatar, being gay or expressing support for gay

1026
00:54:38,360 --> 00:54:41,920
Speaker 1: rights is not allowed. They you know, haven't let the

1027
00:54:41,920 --> 00:54:44,880
Speaker 1: soccer players express anything like this, so they detained this journals.

1028
00:54:44,920 --> 00:54:47,640
Speaker 1: This got national media attention. We covered here as well

1029
00:54:47,840 --> 00:54:53,239
Speaker 1: an extraordinary action. And you know, his family really believes

1030
00:54:53,680 --> 00:54:58,880
Speaker 1: that this was ultimately foul play. They his brother, who

1031
00:54:59,200 --> 00:55:03,320
Speaker 1: is gay, who he says is the reason why Grant

1032
00:55:03,360 --> 00:55:07,600
Speaker 1: was ultimately wearing the shirt. He believes that Grant was killed.

1033
00:55:07,680 --> 00:55:09,120
Speaker 1: Let's take a listen to what he had to say.

1034
00:55:09,440 --> 00:55:13,000
Speaker 1: My name is Eric Wall. I live in Seattle, Washington.

1035
00:55:13,040 --> 00:55:18,040
Speaker 1: I am Grant Wall's brother. I am gay. I am

1036
00:55:18,080 --> 00:55:21,080
Speaker 1: the reason he wore the rainbow shirt to the World Cup.

1037
00:55:22,880 --> 00:55:27,080
Speaker 1: My brother was healthy. He told me he received death threats.

1038
00:55:29,880 --> 00:55:34,160
Speaker 1: I do not believe my brother just died. I believe

1039
00:55:34,239 --> 00:55:40,360
Speaker 1: he was killed, and I just beg for anyone horrible.

1040
00:55:40,440 --> 00:55:42,960
Speaker 1: So he says he didn't just die. He believes he

1041
00:55:43,040 --> 00:55:46,280
Speaker 1: was killed. You know, in addition to wearing the rainbow shirt,

1042
00:55:46,400 --> 00:55:50,839
Speaker 1: this is a journalist who was fearlessly critical of the

1043
00:55:50,960 --> 00:55:54,760
Speaker 1: Katari government and also in particular their treatment of migrant workers.

1044
00:55:54,960 --> 00:55:57,040
Speaker 1: Got put this last piece up on the screen. This

1045
00:55:57,160 --> 00:55:59,719
Speaker 1: is one of the final substack posts here. Let me

1046
00:55:59,760 --> 00:56:01,920
Speaker 1: read it little bit of the beginning. He says, the

1047
00:56:01,960 --> 00:56:04,239
Speaker 1: Supreme Committee in charge of Katar's World Cup does not

1048
00:56:04,400 --> 00:56:07,960
Speaker 1: care that a Filipino migrant worker died at Saudi Arabia's

1049
00:56:07,960 --> 00:56:10,360
Speaker 1: training resort. During the group stage, he suffered a fatal

1050
00:56:10,400 --> 00:56:12,920
Speaker 1: blow to the head during a fall in a forklift accident,

1051
00:56:13,200 --> 00:56:15,880
Speaker 1: information that was kept under wraps until being broken by

1052
00:56:15,920 --> 00:56:18,759
Speaker 1: the athletics Adam Crafton and he goes on to be

1053
00:56:19,520 --> 00:56:24,080
Speaker 1: you know, just very critical of the Kataris and their

1054
00:56:24,080 --> 00:56:26,719
Speaker 1: treatment of migrant workers. And this isn't the first post

1055
00:56:26,800 --> 00:56:30,360
Speaker 1: in this regard, so no doubt that they were unhappy

1056
00:56:30,480 --> 00:56:33,720
Speaker 1: with what he was saying. Here. We have no evidence

1057
00:56:33,800 --> 00:56:36,359
Speaker 1: other than that sort of circumstantial evidence of foul play.

1058
00:56:36,440 --> 00:56:38,239
Speaker 1: I do also want to say that he was on

1059
00:56:38,400 --> 00:56:41,239
Speaker 1: a podcast that week and said that he had been sick,

1060
00:56:41,920 --> 00:56:45,640
Speaker 1: he'd had bronchitis, some sort of respiratory ailment, So could

1061
00:56:45,680 --> 00:56:48,480
Speaker 1: it have been you know, complications from that. Ultimately we

1062
00:56:48,560 --> 00:56:51,080
Speaker 1: don't know. But then the update this morning is that

1063
00:56:51,400 --> 00:56:55,200
Speaker 1: a Katari journalist, actually Katari photojournalist, named Khalid al Maslam,

1064
00:56:55,440 --> 00:56:59,640
Speaker 1: he also died. We know very little about the circumstances

1065
00:56:59,640 --> 00:57:03,959
Speaker 1: around his death. But now you have two journalists within

1066
00:57:04,000 --> 00:57:07,160
Speaker 1: forty eight hours who just dropped out out of nowhere

1067
00:57:07,200 --> 00:57:08,839
Speaker 1: at the Katari World Cup, and a lot of people

1068
00:57:08,880 --> 00:57:10,720
Speaker 1: with a lot of questions. Yeah, with Grant. He said,

1069
00:57:10,800 --> 00:57:13,200
Speaker 1: I have three weeks of little sleep, high stress, lots

1070
00:57:13,200 --> 00:57:14,840
Speaker 1: of work can do that to you. Have been a

1071
00:57:14,880 --> 00:57:17,200
Speaker 1: cold over the last ten days turned into something more severe.

1072
00:57:17,520 --> 00:57:19,440
Speaker 1: I could feel my upper chest take on a new

1073
00:57:19,480 --> 00:57:21,800
Speaker 1: level of pressure and discomfort. I went to the medical

1074
00:57:21,800 --> 00:57:23,680
Speaker 1: clinic at the main media center and they said I

1075
00:57:23,720 --> 00:57:26,400
Speaker 1: probably have bronchitis. They gave me a course of antibiotics.

1076
00:57:26,560 --> 00:57:28,560
Speaker 1: So look, I don't know. I mean he was sick.

1077
00:57:28,600 --> 00:57:31,120
Speaker 1: His brother has since now said I can now update

1078
00:57:31,160 --> 00:57:33,640
Speaker 1: that Grant did go to the hospital in an ambulance.

1079
00:57:33,680 --> 00:57:36,720
Speaker 1: Colleagues followed him in an uber. There was no available

1080
00:57:36,800 --> 00:57:39,000
Speaker 1: AED on site, though it sounds as though it may

1081
00:57:39,040 --> 00:57:40,760
Speaker 1: not have made a difference. If my understanding of the

1082
00:57:40,800 --> 00:57:43,960
Speaker 1: medical situation is correct, his body will come home tomorrow.

1083
00:57:44,120 --> 00:57:47,280
Speaker 1: There will be a proper autopsy here in the United States.

1084
00:57:47,440 --> 00:57:50,600
Speaker 1: The family will then release a statement after that, regardless

1085
00:57:50,640 --> 00:57:53,360
Speaker 1: of the outcome. I have nothing to apologize for. Thoroughly

1086
00:57:53,360 --> 00:57:56,880
Speaker 1: corrupt people and organizations remain thoroughly corrupt. Organizations must always

1087
00:57:56,920 --> 00:57:59,240
Speaker 1: be held to scrutiny an account. This World Club never

1088
00:57:59,240 --> 00:58:02,040
Speaker 1: should have taken place where it did. So that is

1089
00:58:02,080 --> 00:58:05,000
Speaker 1: where Grant is, or that's where Eric is right now

1090
00:58:05,720 --> 00:58:07,880
Speaker 1: as to whether he stands by his accusation of foul

1091
00:58:07,880 --> 00:58:10,280
Speaker 1: play or not kind of up in the air. Seems

1092
00:58:10,280 --> 00:58:13,280
Speaker 1: to accept some level of medical situation, but we don't know.

1093
00:58:13,320 --> 00:58:15,480
Speaker 1: And then when you couple it also with the second one,

1094
00:58:15,560 --> 00:58:18,680
Speaker 1: it's very strange about what's happening there. Although apparently there

1095
00:58:18,720 --> 00:58:21,280
Speaker 1: is a COVID outbreak in Doha. That's what a lot

1096
00:58:21,280 --> 00:58:23,440
Speaker 1: of people have been talking about online as well. Just

1097
00:58:23,480 --> 00:58:28,160
Speaker 1: obviously gathering people from not a surprise, who knows, who knows,

1098
00:58:28,360 --> 00:58:32,200
Speaker 1: who knows, but scary stuff, very scary. You know, hearts

1099
00:58:32,200 --> 00:58:34,840
Speaker 1: go out, obviously, the families of these two men with

1100
00:58:34,960 --> 00:58:38,440
Speaker 1: these sudden losses, and you know, it just raised a

1101
00:58:38,440 --> 00:58:40,000
Speaker 1: lot of eyebrows when he had someone who was so

1102
00:58:40,120 --> 00:58:46,520
Speaker 1: prominent as a dissident journalist ultimately meeting such an untimely end. Yeah,

1103
00:58:46,560 --> 00:58:49,000
Speaker 1: waiting for that autopsy, I think that will answer all

1104
00:58:49,040 --> 00:58:53,440
Speaker 1: the questions that we have. All Right, Tager, what are

1105
00:58:53,440 --> 00:58:55,360
Speaker 1: you looking at? Well? One of the better parts of

1106
00:58:55,360 --> 00:58:57,760
Speaker 1: the holidays is that things start to slow down, inviting

1107
00:58:57,800 --> 00:59:00,600
Speaker 1: some reflection on the last year. It's always with reflection,

1108
00:59:00,720 --> 00:59:02,640
Speaker 1: the question is what do you do with that information?

1109
00:59:02,840 --> 00:59:05,360
Speaker 1: You can wallow. You can feel sorry, you'd be despondent,

1110
00:59:05,600 --> 00:59:07,560
Speaker 1: or you can look at the hopeful highlights from the

1111
00:59:07,640 --> 00:59:10,200
Speaker 1: last year, strung together a theme, and then use it

1112
00:59:10,240 --> 00:59:12,760
Speaker 1: to help yourself in the coming months. So I thought

1113
00:59:12,800 --> 00:59:15,120
Speaker 1: for my first monologue back after our awesome live shows

1114
00:59:15,120 --> 00:59:17,320
Speaker 1: in Boston, New York, I would expand on a theme

1115
00:59:17,320 --> 00:59:20,200
Speaker 1: from those shows. It's been a terrible year for media

1116
00:59:20,280 --> 00:59:23,720
Speaker 1: institutions and a great one for the independent minded. I could,

1117
00:59:23,720 --> 00:59:26,120
Speaker 1: of course talk about CNN plus failing, how they just

1118
00:59:26,160 --> 00:59:29,000
Speaker 1: spent three hundred million dollars to shut down after two days,

1119
00:59:29,160 --> 00:59:31,320
Speaker 1: how their ratings are at an all time low. But

1120
00:59:31,440 --> 00:59:33,720
Speaker 1: the way that you know they're really feeling the pain

1121
00:59:34,080 --> 00:59:36,600
Speaker 1: was the recent news that they're laying off ten percent

1122
00:59:36,720 --> 00:59:39,920
Speaker 1: of their entire workforce, including many of their contributors and

1123
00:59:39,920 --> 00:59:43,160
Speaker 1: their low IQ talent like Chris Solissa. That admission by

1124
00:59:43,200 --> 00:59:47,000
Speaker 1: CNN CEO Chris Lickt was very stark. The firings were

1125
00:59:47,000 --> 00:59:51,400
Speaker 1: happening to quote grow audiences for our core news programming

1126
00:59:51,480 --> 00:59:54,600
Speaker 1: and products. In and of itself, it's an amazing statement

1127
00:59:54,640 --> 00:59:57,960
Speaker 1: of failure. It's an admission that hiring brain dead resistance

1128
00:59:58,000 --> 01:00:02,280
Speaker 1: liberal for CNN contributor and then former CIA operatives that

1129
01:00:02,320 --> 01:00:05,720
Speaker 1: they tanked the core brand established in the a's and

1130
01:00:05,800 --> 01:00:08,680
Speaker 1: they have a huge hole to dig themselves out of now.

1131
01:00:08,720 --> 01:00:11,560
Speaker 1: But CNN aside, they are just a broader symptom of

1132
01:00:11,600 --> 01:00:15,440
Speaker 1: a disease, which is Cable itself. Comcast, the parent company

1133
01:00:15,480 --> 01:00:18,600
Speaker 1: for NBC Universal, which of course heads up NBC News,

1134
01:00:18,760 --> 01:00:22,720
Speaker 1: MSNBC and CNBC, also had major cuts to his businesses. Here.

1135
01:00:22,840 --> 01:00:26,439
Speaker 1: The most famous casualty was Shepsmith from CNBC, of whom

1136
01:00:26,520 --> 01:00:29,800
Speaker 1: nobody cared about at all, and it showed that CNBC's

1137
01:00:29,840 --> 01:00:33,560
Speaker 1: foray into political news was also a huge dud. Again,

1138
01:00:33,720 --> 01:00:35,960
Speaker 1: the admission was stark, we have to move back to

1139
01:00:36,040 --> 01:00:39,960
Speaker 1: core programming. Why because the combined revolution of the Internet

1140
01:00:40,080 --> 01:00:43,600
Speaker 1: and the total abolishment of journalistic standards has done untold

1141
01:00:43,680 --> 01:00:47,040
Speaker 1: damage to their overall hierarchy of brands. As far as

1142
01:00:47,080 --> 01:00:50,320
Speaker 1: digital media startups, it was also a dismal year. The recount,

1143
01:00:50,320 --> 01:00:54,120
Speaker 1: which raised some thirty million dollars in twenty twenty, officially

1144
01:00:54,120 --> 01:00:56,280
Speaker 1: folded this month. Their pitch was they were going to

1145
01:00:56,320 --> 01:00:59,320
Speaker 1: be a punchy video news startup that speaks to millennials

1146
01:00:59,320 --> 01:01:01,600
Speaker 1: and the Internet a but they tried to do it

1147
01:01:01,760 --> 01:01:05,880
Speaker 1: by hiring people who are already beloved by legacy media.

1148
01:01:06,040 --> 01:01:09,920
Speaker 1: Barely anyone even noticed or cared when it folded. Vice News,

1149
01:01:10,080 --> 01:01:12,800
Speaker 1: once the hallmark of a generation. They are cutting costs

1150
01:01:12,800 --> 01:01:16,600
Speaker 1: by fifteen percent, laying off employees. The point is legacy

1151
01:01:16,640 --> 01:01:21,440
Speaker 1: brands are suffering terribly and the legacy backed startups are failing.

1152
01:01:21,720 --> 01:01:23,800
Speaker 1: But out here in the internet sphere, it's a different

1153
01:01:23,840 --> 01:01:27,440
Speaker 1: story entirely. Just compare it to this week, Glenn Greenwell's

1154
01:01:27,440 --> 01:01:29,800
Speaker 1: got a new show on Rumble. It's debuting. Both Glenn

1155
01:01:29,840 --> 01:01:32,240
Speaker 1: and Matt Tayebe's substacks are two of the most popular

1156
01:01:32,280 --> 01:01:34,640
Speaker 1: in the entire country, and in fact, one of the

1157
01:01:34,680 --> 01:01:37,680
Speaker 1: major stories of this year. Just broke Who broke it?

1158
01:01:37,840 --> 01:01:40,800
Speaker 1: Matt Tyebe at his substack, Barry Weis and her independent

1159
01:01:40,800 --> 01:01:44,000
Speaker 1: team over at the Free Press. All independent media right

1160
01:01:44,040 --> 01:01:46,880
Speaker 1: now is actually thriving if you care to look for it,

1161
01:01:47,120 --> 01:01:50,760
Speaker 1: and it's not just anti establishment forces people forget. One

1162
01:01:50,760 --> 01:01:54,080
Speaker 1: of the top earners on political substack is resistance liberal

1163
01:01:54,080 --> 01:01:57,960
Speaker 1: professor Heather Cox Richardson, to which I'd say great. I

1164
01:01:58,000 --> 01:02:00,160
Speaker 1: find it cringe, but as long as it's coming from

1165
01:02:00,240 --> 01:02:02,960
Speaker 1: a different source, I don't care. I want everyone to

1166
01:02:02,960 --> 01:02:05,080
Speaker 1: have a voice. The problem in the past is that

1167
01:02:05,280 --> 01:02:09,320
Speaker 1: not everybody did. By the way, contrast cable News, we

1168
01:02:09,360 --> 01:02:12,040
Speaker 1: didn't fire anyone this year. We hired more people, we

1169
01:02:12,120 --> 01:02:15,160
Speaker 1: added an entire new show, we increased our views, our business,

1170
01:02:15,160 --> 01:02:17,240
Speaker 1: and we have major expansion plans thanks to the way

1171
01:02:17,240 --> 01:02:20,080
Speaker 1: that we fund our business. The point is, it's not

1172
01:02:20,120 --> 01:02:23,360
Speaker 1: just about what's going on here. It's a way bigger ecosystem,

1173
01:02:23,560 --> 01:02:25,920
Speaker 1: which you were all a part of. That's what excites

1174
01:02:25,960 --> 01:02:29,360
Speaker 1: me though. And it's not just news, it's legacy entertainment itself,

1175
01:02:29,560 --> 01:02:33,280
Speaker 1: which is really losing its grips on entertainment. The Walt

1176
01:02:33,320 --> 01:02:37,960
Speaker 1: Disney Company, Netflix, Paramount Global, other major players, and Legacy Entertainment.

1177
01:02:38,120 --> 01:02:42,400
Speaker 1: They had a brutal year. Each is getting crushed by

1178
01:02:42,440 --> 01:02:45,440
Speaker 1: the cost of streaming wars where one to twenty projects

1179
01:02:45,440 --> 01:02:47,880
Speaker 1: appears to actually be worth it and is actually good.

1180
01:02:48,120 --> 01:02:50,560
Speaker 1: But look to the frontiers of entertainment. You're seeing a

1181
01:02:50,560 --> 01:02:54,120
Speaker 1: whole new ecosystem emerge. What really struck me was actually

1182
01:02:54,200 --> 01:02:57,560
Speaker 1: a comedian Mark Normandy was speaking on the Joe Rogan podcast.

1183
01:02:57,800 --> 01:03:00,840
Speaker 1: In a recent episode. They were musing about specials. He

1184
01:03:00,920 --> 01:03:03,640
Speaker 1: actually said, having put out a special on YouTube and

1185
01:03:03,640 --> 01:03:07,200
Speaker 1: one on Netflix, he would probably choose YouTube next because

1186
01:03:07,240 --> 01:03:10,040
Speaker 1: he didn't feel that enough people saw it on Netflix.

1187
01:03:10,440 --> 01:03:13,600
Speaker 1: Think about how crazy that is. Rogan himself has also

1188
01:03:13,600 --> 01:03:16,480
Speaker 1: discussed his possibility. Instead of taking money up front from

1189
01:03:16,480 --> 01:03:19,160
Speaker 1: a streaming platform where the presumption was that people would

1190
01:03:19,160 --> 01:03:21,400
Speaker 1: see it, the assumption now is that if you put

1191
01:03:21,400 --> 01:03:23,680
Speaker 1: something out for free, or if you use some sort

1192
01:03:23,680 --> 01:03:26,520
Speaker 1: of hybrid release model like Andrew Schultz did with his special,

1193
01:03:26,840 --> 01:03:30,040
Speaker 1: you will actually be bigger than ever. That is a

1194
01:03:30,160 --> 01:03:33,320
Speaker 1: titanic change in the comedy world. It didn't even exist

1195
01:03:33,360 --> 01:03:35,760
Speaker 1: five years ago. Many of the comedians I just mentioned

1196
01:03:35,800 --> 01:03:38,080
Speaker 1: are doing better than they ever have in their lives

1197
01:03:38,200 --> 01:03:41,960
Speaker 1: while the broader entertainment business is crumbling. Why because those

1198
01:03:42,000 --> 01:03:45,520
Speaker 1: idiots are signing major deals with Barack Obama and Harry

1199
01:03:45,520 --> 01:03:49,000
Speaker 1: and Megan, only to find out nobody cares. The fact

1200
01:03:49,080 --> 01:03:51,600
Speaker 1: is we're living through a moment where your eyes and

1201
01:03:51,640 --> 01:03:54,520
Speaker 1: ears are actually more powerful than the ideas of high

1202
01:03:54,560 --> 01:03:57,160
Speaker 1: placed executives on what they think your eyes and ears

1203
01:03:57,280 --> 01:04:00,200
Speaker 1: should be attuned to. There are still many challenge is

1204
01:04:00,200 --> 01:04:02,320
Speaker 1: ahead for the independent space. Do not get me wrong,

1205
01:04:02,600 --> 01:04:04,560
Speaker 1: but take a look at the story I just sketched

1206
01:04:04,560 --> 01:04:06,880
Speaker 1: out and tell me that they're doing better today than

1207
01:04:06,920 --> 01:04:09,320
Speaker 1: ever before, and I take great joy in that, and

1208
01:04:09,400 --> 01:04:11,160
Speaker 1: I hope it's going to be an even better one

1209
01:04:11,240 --> 01:04:13,840
Speaker 1: for everybody in twenty twenty three. I think it's interesting,

1210
01:04:13,920 --> 01:04:15,800
Speaker 1: Christel when you kind of strange and if you want

1211
01:04:15,840 --> 01:04:18,920
Speaker 1: to hear my reaction to Sagres's monologue, become a premium

1212
01:04:18,920 --> 01:04:24,480
Speaker 1: subscriber today at Breakingpoints dot com, Cristal, what do you

1213
01:04:24,480 --> 01:04:27,160
Speaker 1: take a look at? Well, guys, the American people have

1214
01:04:27,200 --> 01:04:30,560
Speaker 1: been waiting nearly six decades for the truth about what

1215
01:04:30,680 --> 01:04:33,680
Speaker 1: happened to President John F. Kevin Kennedy on that faithful

1216
01:04:33,720 --> 01:04:37,760
Speaker 1: day in November fifty nine years ago. After all that time,

1217
01:04:38,000 --> 01:04:40,560
Speaker 1: under the weight of countless lies and cover ups, the

1218
01:04:40,560 --> 01:04:43,160
Speaker 1: government has never been able to persuade the American people

1219
01:04:43,200 --> 01:04:45,480
Speaker 1: that they have actually gotten the whole story. In fact,

1220
01:04:45,760 --> 01:04:49,960
Speaker 1: polls have consistently shown that majorities reject the official conclusion

1221
01:04:50,080 --> 01:04:53,440
Speaker 1: of the Warren Commission that Lee Harvey Oswald acted alone

1222
01:04:53,600 --> 01:04:56,760
Speaker 1: on that day. Only around thirty percent right now believe

1223
01:04:56,880 --> 01:04:59,240
Speaker 1: that official government narrative, and at times that number has

1224
01:04:59,240 --> 01:05:02,680
Speaker 1: been as low as ten percent. Well, this week, after

1225
01:05:03,160 --> 01:05:07,600
Speaker 1: years of obfuscation, we may get new stunning answers to

1226
01:05:07,720 --> 01:05:11,280
Speaker 1: some of the thornious questions around this case. Thanks to

1227
01:05:11,320 --> 01:05:14,120
Speaker 1: a law passed unanimously by Congress back in nineteen ninety two,

1228
01:05:14,200 --> 01:05:17,800
Speaker 1: President Biden is under a December fifteenth deadline to release

1229
01:05:18,080 --> 01:05:22,760
Speaker 1: thousands more long secret documents about the JFK assassination. So

1230
01:05:23,320 --> 01:05:26,000
Speaker 1: what could be released this week? While researchers at the

1231
01:05:26,000 --> 01:05:30,000
Speaker 1: Mary Farrell Foundation, the largest private repository of assassination records,

1232
01:05:30,240 --> 01:05:33,080
Speaker 1: they believe this release could include what they describe as

1233
01:05:33,200 --> 01:05:37,600
Speaker 1: quote smoking gun evidence that the CIA not only knew

1234
01:05:37,680 --> 01:05:40,960
Speaker 1: and had closely tracked Lee Harvey Oswald, but that Oswald

1235
01:05:41,000 --> 01:05:44,760
Speaker 1: had been involved in a CIA operation prior to the assassination,

1236
01:05:44,840 --> 01:05:47,440
Speaker 1: during his time with the Fair Play for Cuba organization.

1237
01:05:47,920 --> 01:05:51,600
Speaker 1: So here is Mary Farrell Foundation Vice president Jefferson Morley

1238
01:05:51,640 --> 01:05:54,600
Speaker 1: describing what could be revealed this week. But it is

1239
01:05:54,640 --> 01:05:58,520
Speaker 1: a representative sample. What the CIA is hiding is what

1240
01:05:58,560 --> 01:06:01,040
Speaker 1: they've always hid, which is their sources and methods as

1241
01:06:01,120 --> 01:06:04,280
Speaker 1: relate to Lee Harvey Oswald. By sources and methods, I

1242
01:06:04,400 --> 01:06:10,400
Speaker 1: mean in spy techniques, infiltration, deception, psychological warfare, wiretapping, and

1243
01:06:10,440 --> 01:06:15,560
Speaker 1: the like. That's been the story since nineteen sixty three.

1244
01:06:15,680 --> 01:06:17,720
Speaker 1: But we can answer that question, what are they hiding

1245
01:06:17,760 --> 01:06:20,520
Speaker 1: with more specificity now, And this is the result of

1246
01:06:20,800 --> 01:06:22,880
Speaker 1: a lot of work by me and other researchers associated

1247
01:06:22,880 --> 01:06:25,760
Speaker 1: with the Mary Farrell Foundation. What the CIA is hiding

1248
01:06:26,120 --> 01:06:29,600
Speaker 1: is a covert operation that involved Lee Harvey Oswald used

1249
01:06:29,640 --> 01:06:32,800
Speaker 1: him for intelligence purposes in the summer of nineteen sixty three,

1250
01:06:33,160 --> 01:06:38,040
Speaker 1: three months before President Kennedy was killed. This is an

1251
01:06:38,080 --> 01:06:43,440
Speaker 1: extraordinarily serious claim and it has profound implications for the

1252
01:06:43,440 --> 01:06:45,840
Speaker 1: official story. The CIA knew far more about the Lone

1253
01:06:45,840 --> 01:06:48,960
Speaker 1: Gunman than they are admitting even today. So this story

1254
01:06:48,960 --> 01:06:51,920
Speaker 1: deserves the closest possible scrutiny. That's why the Mary Farrell

1255
01:06:51,920 --> 01:06:53,800
Speaker 1: Foundation is bring it to the attention of the press

1256
01:06:53,840 --> 01:06:56,600
Speaker 1: and the public. Morley then goes on to argue that

1257
01:06:56,760 --> 01:06:59,960
Speaker 1: personnel files related to the former head of the Psychological

1258
01:07:00,240 --> 01:07:04,320
Speaker 1: Warfare branch of the CIA in Miami would reveal details

1259
01:07:04,360 --> 01:07:08,920
Speaker 1: of this CIA operation involving Oswald, specifically how the CIA

1260
01:07:09,040 --> 01:07:13,240
Speaker 1: intentionally engineered the legend of Oswald communist Fidel Castro fan

1261
01:07:13,400 --> 01:07:16,200
Speaker 1: which become so crucial to pinning a motive on him

1262
01:07:16,240 --> 01:07:19,520
Speaker 1: as the lone killer. Remember, the visial narrative was that

1263
01:07:19,560 --> 01:07:22,120
Speaker 1: Oswald was a notorious member of the Fair Play for

1264
01:07:22,200 --> 01:07:25,640
Speaker 1: Cuba Committee, and his hatred of JFK's anti communist Cuba

1265
01:07:25,640 --> 01:07:28,400
Speaker 1: policy was the reason for his solo decision to murder

1266
01:07:28,520 --> 01:07:32,360
Speaker 1: the president. This public record of his pro Castro radicalism

1267
01:07:32,520 --> 01:07:36,400
Speaker 1: would not exist were not for publicized interactions with an

1268
01:07:36,480 --> 01:07:40,680
Speaker 1: anti Castro organization which was run by Joe Needes and

1269
01:07:40,880 --> 01:07:43,680
Speaker 1: the CIA. Now we have already learned in previous releases

1270
01:07:43,720 --> 01:07:46,240
Speaker 1: that the Fair Play for Cuba Committee itself had been

1271
01:07:46,280 --> 01:07:50,440
Speaker 1: infiltrated by the CIA, so effectively it took two CIA

1272
01:07:50,560 --> 01:07:54,080
Speaker 1: involved Cuba organizations to create the public record of Oswald,

1273
01:07:54,280 --> 01:07:57,120
Speaker 1: communist sympathizer, which the media would be fed and run

1274
01:07:57,160 --> 01:08:00,760
Speaker 1: with as explanation for why he shot Kennedy. This obviously

1275
01:08:00,840 --> 01:08:03,440
Speaker 1: raises a whole lot of questions. We already know from

1276
01:08:03,480 --> 01:08:06,320
Speaker 1: prior releases that the CIA lied to the Warren Commission,

1277
01:08:06,360 --> 01:08:09,600
Speaker 1: the government's official fact finding body, about how much they

1278
01:08:09,680 --> 01:08:13,200
Speaker 1: knew personally about Oswald. But if we learned this week

1279
01:08:13,360 --> 01:08:16,840
Speaker 1: that not only did they know who Oswald was and

1280
01:08:16,960 --> 01:08:19,879
Speaker 1: were they tracking him, but that he was actively involved

1281
01:08:19,880 --> 01:08:22,879
Speaker 1: in a CIA operation, that would indeed be a bombshell

1282
01:08:22,920 --> 01:08:26,160
Speaker 1: revelation and a huge key in understanding what really happened

1283
01:08:26,160 --> 01:08:28,880
Speaker 1: on that day, what else might still be hidden? While

1284
01:08:28,920 --> 01:08:31,760
Speaker 1: the JFK Records Act of nineteen ninety two mandated that

1285
01:08:31,800 --> 01:08:34,120
Speaker 1: all of these files be released in twenty five years

1286
01:08:34,160 --> 01:08:37,519
Speaker 1: time with few exceptions, in spite of that and estimated

1287
01:08:37,640 --> 01:08:40,840
Speaker 1: sixteen thousand documents related to the killing are still being

1288
01:08:40,920 --> 01:08:44,559
Speaker 1: hidden by the government After all these years, we deserve

1289
01:08:44,640 --> 01:08:47,880
Speaker 1: the full truth, and an overwhelming majority seventy percent of

1290
01:08:47,960 --> 01:08:52,160
Speaker 1: Americans want these records revealed now. Trump punted on his

1291
01:08:52,280 --> 01:08:54,840
Speaker 1: legal obligation under this law, and Biden has so far

1292
01:08:54,920 --> 01:08:58,400
Speaker 1: largely done the same. Last year, he released an underwhelming

1293
01:08:58,600 --> 01:09:02,320
Speaker 1: limited batch of documents delayed a more fulsome release, blaming

1294
01:09:02,360 --> 01:09:05,800
Speaker 1: the delay on the COVID pandemic, a risable claim that

1295
01:09:05,920 --> 01:09:08,280
Speaker 1: led to the administration being sued by the Mary Farrell

1296
01:09:08,320 --> 01:09:11,320
Speaker 1: Foundation for failing to comply with the ninety two law.

1297
01:09:11,680 --> 01:09:14,759
Speaker 1: Last year's memo, however, only bought Biden a year's time,

1298
01:09:14,960 --> 01:09:18,160
Speaker 1: and that year is up on Thursday of this week.

1299
01:09:18,479 --> 01:09:21,080
Speaker 1: Will he choose to continue the path of secrecy and lies,

1300
01:09:21,200 --> 01:09:24,479
Speaker 1: or will he finally give us the answers that we deserve.

1301
01:09:24,880 --> 01:09:27,759
Speaker 1: Here is Morley again on what it all means. Only

1302
01:09:27,800 --> 01:09:31,200
Speaker 1: full disclosure on December fifteenth can resolve this question. The

1303
01:09:31,280 --> 01:09:33,400
Speaker 1: joint of these files constitute a clear and simple test

1304
01:09:33,439 --> 01:09:36,200
Speaker 1: for President Biden's order. Will these forty four records be

1305
01:09:36,240 --> 01:09:39,240
Speaker 1: released next week? The Mary Farrell Foundation certainly hopes and

1306
01:09:39,280 --> 01:09:41,960
Speaker 1: expects that they will. We filed our lawsuit to complete

1307
01:09:41,960 --> 01:09:45,280
Speaker 1: the historical record of JFK's assassination as soon as possible.

1308
01:09:46,400 --> 01:09:48,360
Speaker 1: This story is just one example of why we took

1309
01:09:48,439 --> 01:09:51,040
Speaker 1: legal action. There's a lot of talk these days about

1310
01:09:51,080 --> 01:09:54,839
Speaker 1: conspiracy theories and misinformation and a lack of trust in government.

1311
01:09:55,080 --> 01:09:57,880
Speaker 1: But how can we possibly trust our government when the

1312
01:09:57,880 --> 01:10:02,120
Speaker 1: facts surrounding a critical point in American history continue to

1313
01:10:02,160 --> 01:10:06,160
Speaker 1: be concealed decades after the fact. The government is all

1314
01:10:06,240 --> 01:10:09,160
Speaker 1: out of excuses if there is really nothing to hide

1315
01:10:09,600 --> 01:10:13,559
Speaker 1: prove it, and Sager, I just don't know at this point.

1316
01:10:13,640 --> 01:10:15,920
Speaker 1: Listen and if you want to hear my reaction to

1317
01:10:16,040 --> 01:10:22,800
Speaker 1: Crystal's monologue. Become a premium subscriber today at Breakingpoints dot Com.

1318
01:10:22,920 --> 01:10:24,639
Speaker 1: Thank you guys so much for watching. It was really

1319
01:10:24,680 --> 01:10:27,160
Speaker 1: great to be back here at the desk after our

1320
01:10:27,160 --> 01:10:29,200
Speaker 1: live shows. Thanks to everybody who came out into all

1321
01:10:29,200 --> 01:10:31,960
Speaker 1: of our premium subs We've got big expansion plans for

1322
01:10:32,000 --> 01:10:34,519
Speaker 1: twenty twenty three, which we teased at the premium shows,

1323
01:10:34,520 --> 01:10:36,200
Speaker 1: and I think we'll do another one of the year

1324
01:10:36,200 --> 01:10:39,000
Speaker 1: in review for our premiums to show you uh yeah, yeah,

1325
01:10:39,040 --> 01:10:40,600
Speaker 1: we should definitely do that, what we did, what we

1326
01:10:40,600 --> 01:10:43,080
Speaker 1: spent more money on over the last year, some of

1327
01:10:43,120 --> 01:10:46,080
Speaker 1: the big expansions that we have and are in discussions

1328
01:10:46,080 --> 01:10:48,639
Speaker 1: with right now. Won't continue to tease it, We'll save

1329
01:10:48,680 --> 01:10:50,280
Speaker 1: it for the premiums. If you want to join us

1330
01:10:50,280 --> 01:10:51,839
Speaker 1: and help us out, link us down in the description.

1331
01:10:52,040 --> 01:10:55,040
Speaker 1: Thanks for supporting Counterpoints and all the other expansion efforts here.

1332
01:10:55,160 --> 01:10:57,080
Speaker 1: We love you, and we'll see you all tomorrow. See

1333
01:10:57,120 --> 01:11:07,040
Speaker 1: all tomorrow.