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

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Speaker 2: the studio ad staff, give you, guys, the best independent

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Speaker 2: coverage that is possible. If you like what we're all about,

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Speaker 2: it just means the absolute world to have your support.

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Speaker 2: But enough with that, let's get to the show everything.

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Speaker 2: Good morning, everybody, Happy Tuesday. We have an amazing show

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Speaker 2: for everybody today.

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Speaker 3: What do we have, Chris sal.

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Speaker 1: Indeed, we do lots to get to you this morning.

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Speaker 1: Polls Polls pull some very interesting numbers coming out New

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Speaker 1: York Times on both the Democratic side and the Republican side.

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Speaker 1: Who's up, who's down? What does the race look like?

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Speaker 1: We will dig into all of that. We also had

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Speaker 1: some very interesting testimony here on Capitol Hill from a

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Speaker 1: former Hunter Biden business associate who is by the way,

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Speaker 1: facing jail time and is really undermining the story that

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Speaker 1: Biden has been going with. We've got some media cope

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Speaker 1: for you. We've got we got the whole thing with

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Speaker 1: regards to Hunter Biden. Also, big developments in terms of Ukraine.

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Speaker 1: You know, these drone strikes on Moscow are now becoming

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Speaker 1: just an absolutely regular occurrence. So we'll tell you about that,

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Speaker 1: some of the things that are going on there. Wild

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Speaker 1: story coming out of California. I honestly don't know what

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Speaker 1: to make of it. There was an unlicensed medical testing

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Speaker 1: lab that you know, authorities were able to get into.

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Speaker 1: They found all kinds of you know, viruses and all

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Speaker 1: kinds of like human biological substances. Very disturbing actually, and

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Speaker 1: some disturbing connections there as well. Sager's got an update

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Speaker 1: for us as well in terms of the UFO testimony

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Speaker 1: that we saw recently and some pushback that we're getting

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Speaker 1: drama breaks, some major drama there, So we will break

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Speaker 1: all of that down for you as well. But before

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Speaker 1: we get to any of that, thank you again to

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Speaker 1: all of the premiums describers.

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Speaker 4: So we've been really working hard.

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Speaker 1: To get some big guests in studio, and I know

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Speaker 1: you guys have really been responding to those interviews, so

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Speaker 1: thank you so much for your support.

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Speaker 3: Yeah, that's right.

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Speaker 2: So we've got more big guests that are coming down

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Speaker 2: the pipeline. We've been working and using extensively a lot

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Speaker 2: more resources. Thanks to everybody that's been able to sign

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Speaker 2: up breakingpoints dot com. You guys not only enable the

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Speaker 2: ability to actually get these done, all the man hours

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Speaker 2: that go into it, the after the production travel, et cetera.

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Speaker 3: That makes that possible.

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Speaker 2: So thank you all to those people, And of course,

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Speaker 2: as a thank you, we always release those interviews first

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Speaker 2: to our premium describers. So if you want the big

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Speaker 2: names and you want them first, then that's the reason

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Speaker 2: to sign up breakingpoints dot com if you are able.

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Speaker 2: But let's get to this big New York Times poll Crystal,

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Speaker 2: which is making big waves both.

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Speaker 3: On the Republican and on the Democratic side.

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Speaker 1: Really, yeah, that's right, So let's start with what's going

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Speaker 1: on with the Republicans.

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Speaker 4: Let's go ahead and put this up on the screen.

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Speaker 1: So Trump with a massive lead in terms of this

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Speaker 1: New York Times Siana poll, which is considered kind of

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Speaker 1: a gold standard. They spend a lot of money on

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Speaker 1: these things to try to make them as accurate as possible,

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Speaker 1: not that they always really succeed there, but this comports

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Speaker 1: with the trend that we have seen of Trump really

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Speaker 1: pulling away from the field.

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Speaker 4: So we have him at fifty.

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Speaker 1: Four, so more than majority DeSantis at seventeen, and then

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Speaker 1: everybody else is at either three, two or one percent.

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Speaker 1: You got Pence, Scott and Haley at three percent, Vivek

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Speaker 1: and Chris Christy at two percent.

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Speaker 4: So obviously, doing the basic.

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Speaker 1: Math year, even if you add up all of the

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Speaker 1: Trump opponents together, you still do not match what Trump has.

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Speaker 1: They did test the head to head Trump versus DeSantis,

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Speaker 1: and he was winning by a two to one margin.

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Speaker 1: So even in the fantasy world where everybody drops out

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Speaker 1: and everybody coalesces around Ron DeSantis, Donald Trump still with

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Speaker 1: a massive, massive lead. Let me read you a little

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Speaker 1: bit of the analysis here. They say that mister Trump

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Speaker 1: held decisive advantages across almost every demographic group and region

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Speaker 1: and in every ideological wing up the party, as Republican

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Speaker 1: voters waved away concerns about his escalating legal jeopardy, led

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Speaker 1: by wide margins among men, women, younger, older voters, moderates, conservatives,

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Speaker 1: those who went to college, those who didn't go to college, cities.

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Speaker 4: Suburbs, and rural areas.

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Speaker 1: And you can also see that there were additional ominous signs,

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Speaker 1: they say, from mister DeSantis, who performed weakest among some

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Speaker 1: of the Republican Party's biggest and most influential constituencies. He

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Speaker 1: earned nine percent DeSantis nine percent support among voters at

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Speaker 1: least sixty five years old, thirteen percent of those without

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Speaker 1: a college degree, so basically working class voters only thirteen

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Speaker 1: percent for DeSantis. And you know, in another science sager

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Speaker 1: that is very not so great for DeSantis. Republicans who

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Speaker 1: described themselves as very conservative favored Trump by a fifty

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Speaker 1: point margin.

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Speaker 4: Sixty five to fifteen.

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Speaker 1: And that's really where DeSantis has been trying to lean.

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Speaker 1: He's gotten to the right of Trump on a variety

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Speaker 1: of issues, hoping that he could pick up these very

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Speaker 1: conservative voters.

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Speaker 3: It is not working out for no, it is certainly

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Speaker 3: not working out at all.

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Speaker 2: Our own Amblin Dashinski actually flagged or really interesting some

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Speaker 2: takeaways I think from here. Let's go and put this

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Speaker 2: next one up there on the screen. This one, as

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Speaker 2: you can see here, is about one of the most

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Speaker 2: important things that they actually poll test in Trump feed.

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Speaker 2: DeSantis strong leader, gets things done, able to beat Joe Biden, fun,

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Speaker 2: likable and moral. So interestingly enough, Desanta is actually beating

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Speaker 2: Trump on likable and moral, but whenever it comes to

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Speaker 2: strong leader, Trump is crushing DeSantis sixty nine to twenty

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Speaker 2: two in terms of get things done, it's sixty seven

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Speaker 2: to twenty two. That's brutal for DeSantis because his entire

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Speaker 2: case is I'm the guy who actually gets things done

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Speaker 2: and not focused on the drama. But really, to me,

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Speaker 2: the one that actually just brought it all home was

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Speaker 2: the fun deficit, Crystal Chris is Trump fifty four percent fun,

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Speaker 2: DeSantis sixteen percent fun. That is actually the biggest delta

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Speaker 2: between the two. And look, politics is a show. Trump

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Speaker 2: he captive to these people. He gave meeting to their lives.

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Speaker 2: He gave them, he gave them the jolt that they

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Speaker 2: always wanted to see, somebody who pisses the people off that.

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Speaker 3: They hate more than anything on national television.

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Speaker 2: And he gave them that gift four years, every single day,

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Speaker 2: three hundred and sixty five, every tweet that was ever sent. DeSantis,

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Speaker 2: in many ways is almost undermining that ability because he

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Speaker 2: wants to be the guy who gets things done. He

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Speaker 2: doesn't want to focus on the drama. He doesn't want

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Speaker 2: to do silly season. And you know something we've maintained

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Speaker 2: here for a long time is that that's just a

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Speaker 2: very wrong reading of the GOP electorate. The GOP electorate

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Speaker 2: loves silly Season. They actually they love Trump. They think

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Speaker 2: it's hilarious. And that comes through dramatically really throughout all

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Speaker 2: of this. Because they don't think he's likable. They know

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Speaker 2: nobody's ever thought he's likable. They don't think he's moral,

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Speaker 2: but they think he's hilarious. They think he's funny, they

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Speaker 2: think he's strong, and they think he can beat Joe Biden.

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Speaker 4: You can't disagree with them.

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Speaker 3: I can't disagree with him either. That's the thing.

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Speaker 2: Can you really anyone who is honest, who is not

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Speaker 2: a self serious you know, it's not a self serious

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Speaker 2: like Cerebrole just like sitting there and be like, oh,

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Speaker 2: the democracy and all that.

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Speaker 3: On an objective basis, he's good at what he does.

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Speaker 3: He's a funny guys.

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Speaker 1: It's charismatic, and he's hilarious. It's terrific that he's such

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Speaker 1: a terrible person. But that is the report. And so

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Speaker 1: if you've got two guys who share basically the same

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Speaker 1: ideology and one of them is funny and the other

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Speaker 1: one is sort of like grading and not that fun

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Speaker 1: to listen to Yeah, I mean listen. I don't want

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Speaker 1: to be too hard on DeSantis, because I do think

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Speaker 1: that he basically read the electorate wrong in every key way.

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Speaker 1: I also don't think that there is really a way

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Speaker 1: to go head to head against Trump and come out

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Speaker 1: on top just because of where the Republican base is

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Speaker 1: right now. We'll get some more of those numbers in

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Speaker 1: just a second. Another way, though, in which DeSantis misread

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Speaker 1: the Republican electorate was on making wokeness the center, end all,

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Speaker 1: be all of his campaign. Only twenty four percent of

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Speaker 1: Republican voters said they would be more likely to support

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Speaker 1: the candidate focused on fighting quote woke issues. And they

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Speaker 1: did a bunch of tests of like wokeness versus you know,

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Speaker 1: other messaging, and in every instance the other messaging sort

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Speaker 1: of more of a focus on law and order and

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Speaker 1: border came out way on top over focusing on fighting

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Speaker 1: back against wokeness. They asked questions about the fight basically

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Speaker 1: that DeSantis is engaged in with Disney, and more people

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Speaker 1: were on the side of, hey, you know, you shouldn't

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Speaker 1: be using state power to go after private corporations, And

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Speaker 1: that was across demographic groups.

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Speaker 4: Across education groups.

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Speaker 1: So I understand why he put that at the center

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Speaker 1: because he has a very difficult challenge trying to stitch

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Speaker 1: together this coalition. And the one thing that does seem

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Speaker 1: to be a glue across a very divided Republican electorate

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Speaker 1: right now is concerns about quote unquote wokeness. But clearly

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Speaker 1: it's not enough of a concern. It doesn't feel like

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Speaker 1: it touches people's lives directly enough for this to be

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Speaker 1: sufficient for them to move off of Trump. Let's go

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Speaker 1: and put this next piece up on the screen that

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Speaker 1: shows some of the divide within the Republican park already

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Speaker 1: along really class lines. So at the top you see

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Speaker 1: you've got magabase that's like thirty seven percent.

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Speaker 4: Those are the people rock solid for Trump.

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Speaker 1: You've got thirty seven percent of persuadable voters who they

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Speaker 1: like Trump, but they could be maybe open to a

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Speaker 1: different candidate. And then you've got twenty five percent who

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Speaker 1: are not open to Trump. Across those different categories, you

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Speaker 1: have a very big class divide. So in the magabase

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Speaker 1: you have a much higher number who do not have

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Speaker 1: a college degree. You have then on the open to Trump,

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Speaker 1: you have a much higher number who do have a

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Speaker 1: college degree. It's a majority there that have a college degree.

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Speaker 1: You have near a majority there among the not open

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Speaker 1: to Trump who earn one hundred k or more. So

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Speaker 1: very clear classified in terms of which category these people

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Speaker 1: sort themselves into.

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Speaker 3: So on the.

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Speaker 1: Number who oppose immigration reform, you see huge split between

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Speaker 1: the magabase, it's seventy one percent no immigration reform. Among

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Speaker 1: the higher end income and college education group that are

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Speaker 1: not open to Trump, it's only thirty seven percent. You

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Speaker 1: see a big divide on opposing a to Ukraine, much

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Speaker 1: more popular position among the working class MAGA base. This

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Speaker 1: one was the most notable, though, perhaps among the MAGA base,

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Speaker 1: eighty percent say that America is in danger of failing.

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Speaker 1: Among the more affluent not open to Trump group, it

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Speaker 1: is only thirty seven percent who say America is in

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Speaker 1: danger of failing.

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Speaker 4: I mean, I guess it makes sense.

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Speaker 1: When you yourself are doing pretty well, you probably feel pretty

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Speaker 1: good about the direction that the country is heading in.

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Speaker 4: You don't feel an existential risk.

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Speaker 1: Whereas if you are in that non college educated, more

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Speaker 1: working class base, it makes sense that you would see

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Speaker 1: things quite a bit more dimly than the rest.

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Speaker 3: Yeah, that's right.

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Speaker 2: Let's put the next part up on their on screen,

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Speaker 2: because they have a very important sliding graphic here which

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Speaker 2: shows you that the MAGA base is already thirty seven percent.

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Speaker 2: Then amongst the so called persuadables, seventeen percent of those

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Speaker 2: people actually lean towards Trump. So now you just got

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Speaker 2: to an outright fifty percent amongst the rest, there are

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Speaker 2: twelve percent others, and then really only a very slight

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Speaker 2: crossover between persuadable and not open to Trump. So we've

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Speaker 2: always said it, you know, it's very difficult to try

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Speaker 2: and cobble these things together.

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Speaker 3: I've never really believed that.

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Speaker 2: The coalition really existed for Ron DeSantis, just given the

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Speaker 2: way that people feel about Trump, and this is just

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Speaker 2: a you know, a good confirmation of that, I think

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Speaker 2: in many ways, and the class divide at this point,

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Speaker 2: I almost think it's important just to stop talking about

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Speaker 2: even DeSantis many of these other people and just look

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Speaker 2: at the base as it exists. And that why I

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Speaker 2: think that they still look and favor Trump. I mean,

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Speaker 2: consider the Ukraine question. Sixty four percent of the MAGA

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Speaker 2: base opposes a to Ukraine. Fifty eight percent of these

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Speaker 2: persuadable voters also oppose a to Ukraine. Twenty six percent

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Speaker 2: don't In the not open to Trump the GOP lawmakers

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Speaker 2: who are vastly represented in Congress and in the Senate.

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Speaker 2: Whose side are they on. They're on the side of

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Speaker 2: the affluent, They're on the side of the small And

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Speaker 2: these people who are not open to Trump, these are

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Speaker 2: old time Republicans. These are Mitt Romney, small business owners,

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Speaker 2: you know, the multi millionaires, like the guys in Florida

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Speaker 2: on a nice boat and you know, like in the

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Speaker 2: in the Trump boat parade. But they don't do it

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Speaker 2: because they love Trump. They really just do it to

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Speaker 2: like flex the boat on the hill attacks. Yeah, these

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Speaker 2: guys are being Republicans for you know, for decades. It's

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Speaker 2: like those are the people that you need to really

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Speaker 2: persuade or really should be like act being working on

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Speaker 2: behalf of it. If you think about it in terms

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Speaker 2: of coalitions, this shows me again that like there it's Trump,

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Speaker 2: it's Marjorie, it's Matt Gates.

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Speaker 3: I can name. On the other hand, like maybe JD.

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Speaker 2: Evans At sometimes like Josh Holly, a few others, Like

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Speaker 2: that's basically it in terms of their coalition that's in Congress.

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Speaker 2: So no wonder that they feel so connected to Trump

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Speaker 2: because he is really the only even spokesperson in rhetoric

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Speaker 2: for so many of the things that they even come

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Speaker 2: to care about.

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Speaker 1: Although, to be honest with you, looking at these numbers,

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Speaker 1: what really comes across is it's more about the vibes

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Speaker 1: and specific policy issue because even pulled okay.

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Speaker 4: So what do you think about Ukraine? A to Ukraine?

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Speaker 1: And even among people who are like I support it,

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Speaker 1: and I support Ukraine and I want to be there,

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Speaker 1: you know, indefinitely, they still support Donald Trump, right, I mean,

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Speaker 1: on all of these among people who think that Social

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Speaker 1: Security shouldn't be cut, and among people who think it

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Speaker 1: should be cut, they all support Trump. So I think,

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Speaker 1: to me much more at the core is the fun

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Speaker 1: graphic of how people, how people feel. He's a strong

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Speaker 1: leader and I have a good time when I'm listening

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Speaker 1: to him.

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Speaker 4: That's what I'm really in it for.

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Speaker 1: And you know, I mean this is not to like

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Speaker 1: cast ex versions on the electro but part of how

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Speaker 1: DeSantis misread the Republican base is by thinking like, oh,

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Speaker 1: if I go down the issue list and I like

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Speaker 1: check off the boxes and I get to Trump's right,

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Speaker 1: and I find the right position on all of these

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Speaker 1: things and get the right answer, then people are going

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Speaker 1: to come into my camp.

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Speaker 4: It hasn't worked out that way.

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Speaker 1: In fact, the more that he has, you know, leaned

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Speaker 1: into his policy oriented message, the more people have moved

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Speaker 1: on to Donald Trump. So I really, you know, I

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Speaker 1: think what you're saying is important in the fact that

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Speaker 1: there is a failure of democracy in terms of representation

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Speaker 1: in Washington, the issues that are pushed by either major

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Speaker 1: party in Washington, what the actual policy incomes are. I

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Speaker 1: think that is incredibly important and essential, But I don't

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Speaker 1: actually think that's driving what the support is in the

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Speaker 1: Republican primary. There is a quote in here though, that

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Speaker 1: I think more gets to this point why people are

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Speaker 1: overwhelmingly backing Donald Trump in the Republican primary. Let's put

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Speaker 1: this up on the screen. This is from David Green,

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Speaker 1: sixty nine year old retail manager in Somersworth, New Hampshire.

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Speaker 1: He says of Trump and why he supports him. Quote,

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Speaker 1: he might say mean things and make all the men

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Speaker 1: cry because all the men are wearing your wife's underpants,

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Speaker 1: and you can't be a man anymore. You got to

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Speaker 1: be a little sissy and cry about everything. But at

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Speaker 1: the end of the day, you want results. Donald Trump's

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Speaker 1: my guy. He proved it on a national level. Much

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Speaker 1: more vibes that because I mean, DeSantis has leaned into

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Speaker 1: whatever shoes this man is gesturing at. He's very much

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Speaker 1: leaned into those policy issues.

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Speaker 4: But Trump, that makes the more like strong man kind

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Speaker 4: of case.

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Speaker 2: I love this guy because he just says it out loud.

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Speaker 2: He's right by the way in terms of like how

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Speaker 2: people view things, like that's it, that's what it takes away.

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Speaker 2: That's why I mean, look, I led with fun whenever

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Speaker 2: I said it explained everything. There are a few other

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Speaker 2: things that I do think you know, tangentially apply, but

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Speaker 2: fun the appears strong pissing the people off what I

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Speaker 2: hate the most.

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Speaker 3: That's pretty much always been it.

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Speaker 1: So anyway, man may have his own issues that he's

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Speaker 1: working there there. Your top issue is women's men wearing

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Speaker 1: women's underpants. Anyways, let's move on to the Biden side

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Speaker 1: of the aisle, because we just this morning got the

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Speaker 1: New York Times Siana poll on the Democratic side, and

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Speaker 1: it is also very interesting.

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Speaker 4: Let's put this up on the screen.

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Speaker 1: So Biden has somewhat improved his position among Democrats, although a.

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Speaker 4: Majority are still like, we'd rather have someone other than Biden.

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Speaker 1: But here's some of the analysis from the New York Times.

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Speaker 1: They say warning signs a bound for the president. Despite

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Speaker 1: his improved standing and a friendlier national environment, mister Biden

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Speaker 1: remains broadly unpopular among a voting public that is pessimistic

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Speaker 1: about the country's future, and his approval rating is a

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Speaker 1: mere thirty nine percent. Perhaps most worryingly for Democrats, the

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Speaker 1: poll found mister Biden in a neck and neck race

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Speaker 1: with former President Donald Trump, who held a commanding lead

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Speaker 1: among likely Republican primary voters as we were just discussing,

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Speaker 1: even as he faces two criminal indictments and more potential

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Speaker 1: charges on the horizon. Mister Biden and mister Trump were

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Speaker 1: tied at forty three percent a piece in a hypothetical

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Speaker 1: rematch in twenty twenty four, according to the poll. Now,

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Speaker 1: in terms of primary support, within this poll, Biden had

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Speaker 1: the backing of sixty four percent of Democratic primary voters

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Speaker 1: who were intending on participating in the party's primaries. Thirteen

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Speaker 1: percent were behind RFK Junior, and ten percent chose Mary

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Speaker 1: and Williamson. So even though you still have and They've

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Speaker 1: got some good quotes here. I'll read to you Voters

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Speaker 1: who are on the Democratics, they're not enthusiastic about Biden.

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Speaker 1: They feel like they have no real choice. I think

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Speaker 1: that the relentless message from the party leadership and from

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Speaker 1: corporate media aligned with the Democratic Party that listen, guys,

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Speaker 1: Biden is effectively the only candidate in the race, and

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Speaker 1: we're just gonna ignore.

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Speaker 4: These other two. I think that's worked.

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Speaker 1: You've got a couple of quotes here that I want

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Speaker 1: to share with you. One individual who has said about

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Speaker 1: Trump and Biden. I'm sorry, but both of them to

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Speaker 1: me are too old. Biden to me, seems less mentally

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Speaker 1: capable age wise. But Trump is just evil. He's done

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Speaker 1: horrible things. That is the case that the Democratic Party

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Speaker 1: is hoping is going to resonate with the American public. Like, listen,

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Speaker 1: you may not be in love with Jo'biden, but look

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Speaker 1: at the alternative.

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Speaker 2: You have.

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Speaker 1: A thirty eight year old woman government analyst from Atlanta

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Speaker 1: described herself as a political progressive not aligned with a party,

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Speaker 1: who said mister Biden's tax policy had been skewed to

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Speaker 1: favor the wealthy while the middle class paid more than

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Speaker 1: its fair share. Quote, we're kind of smushed in the middle.

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Speaker 1: We're taking the brunt of the taxes for everybody. She

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Speaker 1: did say she'd vote for Biden again, but added she

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Speaker 1: wouldn't do so with much gusto. It's basically like, I

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Speaker 1: don't have another choice because I don't feel comfortable not voting.

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Speaker 2: She said, Yeah, I mean on the Democratic side, it's

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Speaker 2: pathetic whenever you're only getting six two thirds or whatever

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Speaker 2: people to support you.

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Speaker 3: So let's just leave that aside.

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Speaker 2: The most the big headline to me was the Trump

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Speaker 2: I mean the actual head to head one versus him.

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Speaker 2: I mean he is actually tied in this pole crystal

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Speaker 2: at forty three percent a piece in a rematch in

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Speaker 2: twenty twenty four. That's a terrible position to be in

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Speaker 2: as an incumbent president, especially two years out. You know,

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Speaker 2: we really have not yet heard the full critique of

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Speaker 2: Donald Trump in an actual like media circus environment of

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Speaker 2: a full twenty twenty four campaign. He theoretically should be

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Speaker 2: stronger right now than he ever has been. The counter

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Speaker 2: to that could be, oh, well, Biden hasn't yet made

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Speaker 2: his case to the American people. I mean, my counter

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Speaker 2: would be, you're the president. You get to make your

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Speaker 2: case every day.

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Speaker 4: Yeah.

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Speaker 2: Also, you are getting older every day, which is part

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Speaker 2: of the problem as to why people are very skeptical

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Speaker 2: of you.

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Speaker 3: I mean, this really does confirm a couple of things.

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Speaker 2: Trump is still dramatically electable, as much as people want

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Speaker 2: to count him out. This New York Times poll I

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Speaker 2: saw CNN story yesterday kind of preparing the liberals just

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Speaker 2: being like, guys, Trump could actually win. And it's true.

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Speaker 2: I mean I've always said this. When you are the

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Speaker 2: nominee of a major party, you can win the presidency.

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Speaker 2: But then with Trump, he is always underestimated. Yes, I

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Speaker 2: understand twenty twenty two didn't go well.

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Speaker 3: It's true. Twenty eight two didn't go well either, But

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Speaker 3: he won the freaking presidency.

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Speaker 2: You can't deny it. He only lost forty four, five

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Speaker 2: hundred votes. And I just checked the twenty twenty poll

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Speaker 2: that came out October twenty twenty see in New York

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Speaker 2: Times Sienna is actually a poll historically biased against Trump

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Speaker 2: in terms of his favor They had Biden up fifty

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Speaker 2: one to forty two. Yeah, and the last poll of

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Speaker 2: October twenty twenty, so if they have him tied Trump Biden.

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Speaker 2: I'm giving Trump plus four. Historically, that's what it usually

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Speaker 2: has come down to. Didn't seem to work in twenty

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Speaker 2: twenty two, but to me, that was because Trump himself

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Speaker 2: wasn't on the ballot.

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Speaker 3: This man magician. I don't know what it exactly it is.

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Speaker 2: But in terms of getting people actually to the polls

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Speaker 2: to come out to vote, he seems singularly enabled to

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Speaker 2: do that as a politician. It's one of the rarest

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Speaker 2: things you'll ever see in politics.

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Speaker 1: So I have that cnnpiece from Harry Anton, who's like,

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Speaker 1: there are a guy analysis of the polls, and the

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Speaker 1: headline that he has here is the chance of Trump

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Speaker 1: winning another term is very real. And one of the

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Speaker 1: things he says that I think people really need to internalize.

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Speaker 1: Trump is not only in a historically strong position for

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Speaker 1: a non incumbent to win the Republican nomination, but he

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Speaker 1: is in a better position to win the general election

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Speaker 1: that at any point during the twenty twenty cycle, and

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Speaker 1: almost at any point during the twenty sixteen cycle. Keep

439
00:20:44,400 --> 00:20:47,600
Speaker 1: in mind, with Donald Trump in twenty sixteen, he was

440
00:20:47,640 --> 00:20:51,639
Speaker 1: almost always pulling behind Hillary. With Biden in twenty twenty,

441
00:20:51,720 --> 00:20:53,920
Speaker 1: it looked like it was going to be a blowout

442
00:20:54,000 --> 00:20:57,200
Speaker 1: if you were just looking at the polls. He has

443
00:20:57,520 --> 00:21:01,520
Speaker 1: very rarely been looking at poles where he was actually

444
00:21:01,560 --> 00:21:06,320
Speaker 1: in the poll itself tied with his Democratic opponent. So

445
00:21:06,720 --> 00:21:10,400
Speaker 1: now listen, he's facing a number of other charges. He's

446
00:21:10,440 --> 00:21:12,399
Speaker 1: going to be going to trial before this election.

447
00:21:12,560 --> 00:21:13,160
Speaker 4: He could be.

448
00:21:13,040 --> 00:21:16,040
Speaker 1: Facing prison time. That's a very real possibility, and I

449
00:21:16,080 --> 00:21:17,600
Speaker 1: have to think that that is not going to be

450
00:21:17,720 --> 00:21:19,840
Speaker 1: an easy thing for him to be able to overcome.

451
00:21:20,359 --> 00:21:22,600
Speaker 1: So there are a lot of wild cards out there,

452
00:21:22,640 --> 00:21:25,119
Speaker 1: but I think people need to take very seriously the

453
00:21:25,160 --> 00:21:29,920
Speaker 1: fact that Joe Biden is an extraordinarily weak Democratic nominee.

454
00:21:30,200 --> 00:21:32,719
Speaker 1: For all the people out there who are really concerned

455
00:21:32,720 --> 00:21:36,760
Speaker 1: about electability, you know, and if God forbid, in my opinion,

456
00:21:36,760 --> 00:21:38,919
Speaker 1: Donald Trump gets re elected, they need to take a

457
00:21:39,040 --> 00:21:43,760
Speaker 1: really really critical lens to the Democratic Party and the

458
00:21:43,760 --> 00:21:46,240
Speaker 1: fact that they shut this process out. They did not

459
00:21:46,400 --> 00:21:48,320
Speaker 1: allow voters to have a choice. They said, you have

460
00:21:48,400 --> 00:21:51,000
Speaker 1: to be stuck with this man that an overwhelming majority

461
00:21:51,040 --> 00:21:53,080
Speaker 1: of Americans are like, this guy's just tooling.

462
00:21:53,200 --> 00:21:55,840
Speaker 2: Yeah, I look, I mean it's been obvious from day one.

463
00:21:56,040 --> 00:21:58,199
Speaker 2: They're playing with fire, you know, if they believe that

464
00:21:58,200 --> 00:22:00,199
Speaker 2: Trump is an existential with which they say all the time.

465
00:22:00,240 --> 00:22:02,199
Speaker 3: Who knows if it's whether they believe it or not.

466
00:22:02,359 --> 00:22:05,479
Speaker 2: Well, if you lose, it's your fault, one hundred percent.

467
00:22:05,840 --> 00:22:08,000
Speaker 2: It's on you and more and more than I'm reading Crystal.

468
00:22:08,520 --> 00:22:10,840
Speaker 2: While stop the steal is a problem, while the criminal

469
00:22:10,880 --> 00:22:14,800
Speaker 2: cases are a problem. You know, everyone else can recite

470
00:22:14,880 --> 00:22:18,160
Speaker 2: the litany of problems. He's a strong politician, man. Yeah,

471
00:22:18,160 --> 00:22:20,880
Speaker 2: it comes like anytime we see like a very serious

472
00:22:20,960 --> 00:22:25,520
Speaker 2: look at his real support against Biden, specifically in the

473
00:22:25,600 --> 00:22:28,000
Speaker 2: swing states and all that, I always come away with

474
00:22:28,040 --> 00:22:31,520
Speaker 2: the same thought of this man, he's getting awful close

475
00:22:31,560 --> 00:22:34,000
Speaker 2: to the Oval office right now, especially when you peg

476
00:22:34,040 --> 00:22:35,919
Speaker 2: it to how the media and all these other people

477
00:22:36,160 --> 00:22:39,000
Speaker 2: are painting his chances, and so look, be a fool

478
00:22:39,040 --> 00:22:40,760
Speaker 2: and count him out if you want to. Yeah, you know,

479
00:22:40,960 --> 00:22:41,680
Speaker 2: I would not advise.

480
00:22:41,840 --> 00:22:43,560
Speaker 1: The one thing that I'll put on the other side

481
00:22:43,560 --> 00:22:46,800
Speaker 1: of that equation for Joe Biden is, you know, the

482
00:22:46,840 --> 00:22:49,879
Speaker 1: economy does seem to be improving, Inflation does seem to

483
00:22:49,920 --> 00:22:52,480
Speaker 1: be going down, although you know, if you ask American

484
00:22:52,560 --> 00:22:54,639
Speaker 1: voters they still learn not feeling it.

485
00:22:54,720 --> 00:22:55,000
Speaker 2: Really.

486
00:22:55,000 --> 00:22:57,520
Speaker 1: In terms of an improved economy, the mood is very,

487
00:22:58,119 --> 00:23:02,960
Speaker 1: very negative. But you know, my instinct is that the

488
00:23:03,280 --> 00:23:06,560
Speaker 1: charges and the criminal jeopardy for Trump, while it doesn't

489
00:23:06,600 --> 00:23:09,080
Speaker 1: matter in a Republican primary, could be damaging to him

490
00:23:09,119 --> 00:23:12,119
Speaker 1: in a general election. But on the other hand, I

491
00:23:12,160 --> 00:23:14,840
Speaker 1: mean as silent tepas, I don't know what he did

492
00:23:14,880 --> 00:23:17,919
Speaker 1: on January six, It's not like people don't know that

493
00:23:18,040 --> 00:23:22,159
Speaker 1: he's facing these charges, etc. So listen, it's a jumpall

494
00:23:22,240 --> 00:23:24,080
Speaker 1: right now. I think that's all we can say. And

495
00:23:24,240 --> 00:23:26,960
Speaker 1: I to me, yes, it speaks to the strength of

496
00:23:27,000 --> 00:23:31,280
Speaker 1: Trump as a politician. But for me, Trump's success and

497
00:23:31,400 --> 00:23:35,199
Speaker 1: very near success in twenty twenty has always been a

498
00:23:35,240 --> 00:23:39,359
Speaker 1: deep reflection of how weak the Democratic Party is and

499
00:23:39,400 --> 00:23:41,879
Speaker 1: how little they live up to their promises and actually

500
00:23:41,920 --> 00:23:44,639
Speaker 1: deliver for people. So I think it's pathetic, well they

501
00:23:44,640 --> 00:23:48,600
Speaker 1: should be in this position going into this election season.

502
00:23:51,600 --> 00:23:54,400
Speaker 1: Let's move on to another piece on the Democratic side,

503
00:23:54,440 --> 00:23:58,879
Speaker 1: which is continued questions and maybe answers about Hunter Biden

504
00:23:59,119 --> 00:24:01,960
Speaker 1: his business dealings and critically because it is the part

505
00:24:02,000 --> 00:24:05,399
Speaker 1: that really really matters the involvement of his father, the

506
00:24:05,400 --> 00:24:08,920
Speaker 1: President of the United States, Joe Biden. So yesterday, one

507
00:24:08,920 --> 00:24:11,720
Speaker 1: of Hunter's former business partners Devin Archer, who was involved

508
00:24:11,720 --> 00:24:15,040
Speaker 1: in the whole Bearisma situation. He was on Capitol Hill

509
00:24:15,119 --> 00:24:19,560
Speaker 1: to testify, and what he said directly undercut what Joe

510
00:24:19,560 --> 00:24:22,879
Speaker 1: Biden's line has always been about his lack of involvement

511
00:24:22,920 --> 00:24:25,919
Speaker 1: in Hunter Biden's busy. Said he never even talked to

512
00:24:26,000 --> 00:24:29,320
Speaker 1: Hunter about his business dealings. Well, Devin Archer has a

513
00:24:29,320 --> 00:24:32,720
Speaker 1: different story. He says Hunter would quite often, many times

514
00:24:32,880 --> 00:24:37,200
Speaker 1: put Joe on speakerphone with his business associates to try

515
00:24:37,200 --> 00:24:41,320
Speaker 1: to basically sell the Biden brand and leverage his famous,

516
00:24:41,359 --> 00:24:47,440
Speaker 1: powerful last name into his own business dealings. Democratic Representative

517
00:24:47,760 --> 00:24:51,640
Speaker 1: Dan Goldman was asked about this after the hearings. Let's

518
00:24:51,640 --> 00:24:54,560
Speaker 1: take a listen to how he spun those revelations.

519
00:24:54,800 --> 00:24:57,479
Speaker 5: It was clear that it was part of the daily

520
00:24:57,560 --> 00:25:02,959
Speaker 5: conversations that Hunter by and had with his father, And

521
00:25:03,080 --> 00:25:08,480
Speaker 5: it was and sounded like most of the time, now

522
00:25:08,520 --> 00:25:11,440
Speaker 5: President Biden didn't even know who the people he was

523
00:25:11,480 --> 00:25:14,440
Speaker 5: at dinner. He was just asked to say hello, uh,

524
00:25:14,480 --> 00:25:15,720
Speaker 5: and he would, you.

525
00:25:15,680 --> 00:25:17,600
Speaker 3: Know, talk about the way he described it.

526
00:25:17,600 --> 00:25:19,560
Speaker 5: Several times they asked over and over and over he

527
00:25:19,600 --> 00:25:24,360
Speaker 5: described what the weather was, how, how what's going on

528
00:25:24,359 --> 00:25:29,719
Speaker 5: on your end? He the witness was very, very consistent

529
00:25:30,400 --> 00:25:33,560
Speaker 5: that none of those conversations ever had to do with

530
00:25:34,000 --> 00:25:37,800
Speaker 5: any business dealings or transactions. They were purely what he

531
00:25:37,920 --> 00:25:39,560
Speaker 5: called casual conversations.

532
00:25:40,040 --> 00:25:44,360
Speaker 1: Oh okay, incredible, incredible, And we are expected to believe

533
00:25:44,520 --> 00:25:47,440
Speaker 1: in his telling of events that the President of the

534
00:25:47,520 --> 00:25:50,720
Speaker 1: United States is so naive that he doesn't know what's

535
00:25:50,760 --> 00:25:52,520
Speaker 1: going on in these conversations.

536
00:25:52,560 --> 00:25:53,880
Speaker 4: And they expect the American.

537
00:25:53,560 --> 00:25:56,920
Speaker 1: People to be so naive to buy this version of events.

538
00:25:57,160 --> 00:25:59,960
Speaker 1: And they also expect us to completely, like, you know,

539
00:26:00,240 --> 00:26:02,560
Speaker 1: erase our memories of Biden saying that none of this

540
00:26:02,640 --> 00:26:03,119
Speaker 1: ever happened.

541
00:26:03,240 --> 00:26:05,280
Speaker 2: So he said he never spoke to him once on

542
00:26:05,320 --> 00:26:07,840
Speaker 2: the phone. And this guy's like, oh, they were just

543
00:26:07,840 --> 00:26:10,080
Speaker 2: talking about the weather. You just said they talked for

544
00:26:10,160 --> 00:26:11,000
Speaker 2: how many times?

545
00:26:11,040 --> 00:26:14,240
Speaker 1: Story significantly completely changed the goalposts.

546
00:26:14,400 --> 00:26:16,800
Speaker 3: Put this up there on the screen. Also from Fox News.

547
00:26:16,800 --> 00:26:21,080
Speaker 2: Devin Archer actually whenever he was present in front of

548
00:26:21,160 --> 00:26:23,800
Speaker 2: the in front of the committee, unfortunately, was actually behind

549
00:26:23,800 --> 00:26:25,800
Speaker 2: closed doors. So I really would like to see the

550
00:26:25,800 --> 00:26:28,320
Speaker 2: transcript of that hearing. I am calling on them to

551
00:26:28,440 --> 00:26:31,439
Speaker 2: quote release the transcript. And look, I've always said this

552
00:26:31,440 --> 00:26:33,720
Speaker 2: too with Archer, he's an unsavory character.

553
00:26:33,760 --> 00:26:34,400
Speaker 3: In his own right.

554
00:26:34,600 --> 00:26:37,399
Speaker 2: He's facing jail time, but he was there at the

555
00:26:37,440 --> 00:26:39,639
Speaker 2: center of all of these deals. And one of the

556
00:26:39,680 --> 00:26:42,199
Speaker 2: reasons I feel like I'm growing nuts, Crystal is I

557
00:26:42,560 --> 00:26:45,280
Speaker 2: you know, I've been covering this for almost five years.

558
00:26:45,320 --> 00:26:48,720
Speaker 2: I actually looked through my notes. I did a monologue

559
00:26:48,880 --> 00:26:54,080
Speaker 2: on Rising September twenty fourth, twenty twenty, which detailed every

560
00:26:54,160 --> 00:26:57,240
Speaker 2: single one of the allegations that Devin Archer made behind

561
00:26:57,440 --> 00:27:01,000
Speaker 2: the closed door at this hearing about the Russian billionaire

562
00:27:01,040 --> 00:27:04,000
Speaker 2: who transferred money there about it was actually the source

563
00:27:04,119 --> 00:27:07,880
Speaker 2: material was the twenty twenty GOP Overside Committee report, which

564
00:27:07,920 --> 00:27:10,480
Speaker 2: detailed all of this and which Joe Biden then denied

565
00:27:10,560 --> 00:27:13,600
Speaker 2: on September I believe it was twenty fifth somewhere around then,

566
00:27:13,800 --> 00:27:16,680
Speaker 2: at the very first presidential debate. This has been out

567
00:27:16,680 --> 00:27:19,879
Speaker 2: in the open for years. I mean, I actually so.

568
00:27:19,960 --> 00:27:22,520
Speaker 2: I also went back and checked. I did an interview

569
00:27:22,600 --> 00:27:25,600
Speaker 2: with Peter Schweizer, who wrote the book on Hunter Biden,

570
00:27:25,960 --> 00:27:31,840
Speaker 2: on March fourteenth, twenty nineteen, over at Rising, and every

571
00:27:31,960 --> 00:27:37,320
Speaker 2: single detail about BHD partners Devin Archer, China, Ukraine and

572
00:27:37,320 --> 00:27:40,120
Speaker 2: Bearisma is listed in that interview. So it's like this

573
00:27:40,160 --> 00:27:43,000
Speaker 2: has all been present in the public sphere before Joe

574
00:27:43,000 --> 00:27:46,480
Speaker 2: Biden was even a declared candidate, let alone the president.

575
00:27:46,520 --> 00:27:49,600
Speaker 3: So it's like, how are we still litigating.

576
00:27:49,119 --> 00:27:51,439
Speaker 2: This and never have gotten to the actual bottom of

577
00:27:51,480 --> 00:27:55,240
Speaker 2: it until now August one, twenty twenty three. Like that's

578
00:27:55,280 --> 00:27:57,600
Speaker 2: the absurd part to me, rather than the facts. I

579
00:27:57,640 --> 00:28:00,520
Speaker 2: mean Archer saying I put the guy on the phone,

580
00:28:00,720 --> 00:28:03,160
Speaker 2: like I put the guy. Of course you obviously did.

581
00:28:03,480 --> 00:28:08,400
Speaker 2: Archer testifying that BIZMA hired Hunter for the quote Biden brand,

582
00:28:08,440 --> 00:28:09,720
Speaker 2: and everyone's like, oh, what is shocking?

583
00:28:10,080 --> 00:28:10,680
Speaker 3: Is it shocking?

584
00:28:11,080 --> 00:28:13,880
Speaker 2: Like you need Devin Archer to testify to that? Yeah,

585
00:28:13,920 --> 00:28:16,200
Speaker 2: why does the guy get eighty three thousand dollars a month? Okay,

586
00:28:16,200 --> 00:28:19,560
Speaker 2: it's not shocking to anybody. We knew consistently that Biden

587
00:28:19,600 --> 00:28:22,320
Speaker 2: had met at the very least have been testified to

588
00:28:22,440 --> 00:28:25,359
Speaker 2: by eyewitnesses with business partners. So it's like, to me,

589
00:28:25,480 --> 00:28:28,280
Speaker 2: this is only confirmation of facts on the that we

590
00:28:28,359 --> 00:28:30,800
Speaker 2: have known for years at this point. So it's just

591
00:28:30,840 --> 00:28:33,720
Speaker 2: it's really repulsive to me to see Goldman and all

592
00:28:33,760 --> 00:28:35,800
Speaker 2: of them not admit the very basic truth.

593
00:28:35,800 --> 00:28:37,800
Speaker 3: I mean, there's only one honest interpretation of this.

594
00:28:38,080 --> 00:28:41,400
Speaker 2: Biden lied straight up on the debate stage on the

595
00:28:41,440 --> 00:28:44,320
Speaker 2: campaign trail as President of the United States, and White

596
00:28:44,360 --> 00:28:47,400
Speaker 2: House Press Secretary Jensaki and kream John Pierre both told

597
00:28:47,400 --> 00:28:49,880
Speaker 2: lies about Hunter's business dealings from the podium and the

598
00:28:49,920 --> 00:28:52,280
Speaker 2: story period. If we are to believe this testimony, not

599
00:28:52,320 --> 00:28:56,200
Speaker 2: only is testimony, multiple other corroborating reports, the text message

600
00:28:56,240 --> 00:28:58,160
Speaker 2: you know that has come out. It's like all of this,

601
00:28:58,360 --> 00:29:00,560
Speaker 2: It's just it's absurd that they can still try and

602
00:29:00,560 --> 00:29:01,840
Speaker 2: stick to their original.

603
00:29:01,720 --> 00:29:04,360
Speaker 1: I mean, it was always very plain on its face

604
00:29:04,440 --> 00:29:08,160
Speaker 1: that the most charitable interpretation of Hunter's business dealings is

605
00:29:08,160 --> 00:29:10,120
Speaker 1: that he was using the Biden. I mean, there was

606
00:29:10,240 --> 00:29:13,520
Speaker 1: never any other possible explanation, right, Remember how he was

607
00:29:13,520 --> 00:29:15,040
Speaker 1: like on the Amtrak board.

608
00:29:14,920 --> 00:29:16,360
Speaker 4: Of course, road trains.

609
00:29:16,680 --> 00:29:19,720
Speaker 1: He liked the train, Like okay, yeah, that's what that's

610
00:29:19,920 --> 00:29:23,160
Speaker 1: what gets you on that board. It was always really obvious,

611
00:29:23,240 --> 00:29:25,080
Speaker 1: and I'll never forget when we ask Congress and Ted

612
00:29:25,120 --> 00:29:27,360
Speaker 1: Low about these dealings and he's like, yeah, people will

613
00:29:27,360 --> 00:29:29,800
Speaker 1: sit on boards on the iron salaries as if, as

614
00:29:29,840 --> 00:29:34,240
Speaker 1: if that's totally fine. Now listen, that may not be illegal.

615
00:29:34,520 --> 00:29:38,080
Speaker 1: Although I do think some of his potential unregistered lobbying

616
00:29:38,160 --> 00:29:40,760
Speaker 1: for foreign governments is something that deserves a lot of

617
00:29:40,760 --> 00:29:45,320
Speaker 1: scrutiny and may be illegal, but you know, unfortunately, leveraging

618
00:29:45,360 --> 00:29:50,120
Speaker 1: your political connections and parlaying them into lucrative financial positions

619
00:29:50,240 --> 00:29:51,480
Speaker 1: may not be illegal.

620
00:29:51,600 --> 00:29:52,040
Speaker 4: Number one.

621
00:29:52,080 --> 00:29:54,200
Speaker 1: Number two, I'd like to see Republicans apply some of

622
00:29:54,200 --> 00:29:56,680
Speaker 1: the same scrutiny to their own activities and dealing with

623
00:29:56,840 --> 00:30:02,480
Speaker 1: those of Donald Trump. But Biden has really caught himself

624
00:30:02,520 --> 00:30:05,600
Speaker 1: here and backed himself into a corner by stating so

625
00:30:05,720 --> 00:30:08,040
Speaker 1: unequivocally that he never even spoke to Hunter about those

626
00:30:08,520 --> 00:30:11,400
Speaker 1: And it's just that part. It's gone like, it's very

627
00:30:11,440 --> 00:30:13,520
Speaker 1: clear that that's a lie. At this point, you got

628
00:30:13,520 --> 00:30:17,360
Speaker 1: this other piece. There was Devin Archer apparently, you know,

629
00:30:17,440 --> 00:30:22,400
Speaker 1: reportedly testified that Biden had met with this Russian oligarch

630
00:30:22,560 --> 00:30:29,240
Speaker 1: who was also involved in in potential business deals, and

631
00:30:29,520 --> 00:30:33,400
Speaker 1: there were questions about why this particular Russian oligarch did

632
00:30:33,400 --> 00:30:37,000
Speaker 1: not end up getting sanctioned. Karine Jean Pierre refused to

633
00:30:37,040 --> 00:30:39,120
Speaker 1: answer a question about this from the podium.

634
00:30:39,160 --> 00:30:40,000
Speaker 4: Let's take a listen to that.

635
00:30:40,240 --> 00:30:43,920
Speaker 6: Regarding Russia's sanctions, I'm wondering if you could share the

636
00:30:43,960 --> 00:30:48,120
Speaker 6: reason why President Biden hasn't sanctioned the Russian billionaires Vladimir

637
00:30:48,240 --> 00:30:50,719
Speaker 6: yet to Shenkov and Elena Vautarina.

638
00:30:51,720 --> 00:30:53,520
Speaker 3: How is he handling the conflict of interest there?

639
00:30:53,520 --> 00:30:56,000
Speaker 6: Giving his son was a business associated these two people,

640
00:30:56,200 --> 00:30:58,640
Speaker 6: and can you confirm that, as sitting vice president he

641
00:30:58,720 --> 00:31:00,000
Speaker 6: dined with that arena in Georgie.

642
00:31:00,320 --> 00:31:03,680
Speaker 3: I'm just not speaking to anything that's related to his

643
00:31:03,760 --> 00:31:04,360
Speaker 3: son from here.

644
00:31:04,440 --> 00:31:05,760
Speaker 2: If you want to have if you want to ask

645
00:31:05,760 --> 00:31:08,800
Speaker 2: a questions about Hunter Biden specifically, I would refer you

646
00:31:08,840 --> 00:31:09,520
Speaker 2: to his family.

647
00:31:09,840 --> 00:31:12,760
Speaker 4: So just continuing this done while here a complete bs.

648
00:31:13,080 --> 00:31:15,280
Speaker 2: Once again, I literally had the notes right here in

649
00:31:15,320 --> 00:31:17,440
Speaker 2: front of me as I wrote at that time, and

650
00:31:17,680 --> 00:31:20,400
Speaker 2: payment included a three point five million dollar wire transfer

651
00:31:20,440 --> 00:31:22,920
Speaker 2: from Ellena Butarina, the richest woman in all of Raschia,

652
00:31:23,000 --> 00:31:25,840
Speaker 2: conveniently the wife of the former mayor of Moscow. Business

653
00:31:25,880 --> 00:31:28,840
Speaker 2: associations with individuals who are linked to the Chinese Communist

654
00:31:28,840 --> 00:31:30,640
Speaker 2: Party and the People's Liberation.

655
00:31:30,440 --> 00:31:32,760
Speaker 3: Army of Chin it's all, it's all been in the

656
00:31:32,760 --> 00:31:33,400
Speaker 3: public record.

657
00:31:33,480 --> 00:31:36,560
Speaker 2: Yeah, everyone knows this, and it's like, you know, Stephen

658
00:31:36,920 --> 00:31:39,520
Speaker 2: friend of the show, a great reporter, you know at

659
00:31:39,600 --> 00:31:42,480
Speaker 2: least has the kahones to ask about this and to

660
00:31:42,480 --> 00:31:45,480
Speaker 2: get them on the record, but it's like the level

661
00:31:45,560 --> 00:31:48,400
Speaker 2: of obviousness of which what was testified here that the

662
00:31:48,440 --> 00:31:51,520
Speaker 2: Biden brand was being stocked by Bearisma of course, that

663
00:31:51,560 --> 00:31:54,320
Speaker 2: Biden had been on the phone now with Hunter Biden associates,

664
00:31:54,520 --> 00:31:57,480
Speaker 2: and the thing is about Dan Goldman is now Goldman

665
00:31:57,680 --> 00:32:00,920
Speaker 2: is dropping the only defense that the White House ever had.

666
00:32:01,160 --> 00:32:04,360
Speaker 2: I never talked to him about business, which was ridiculous

667
00:32:04,400 --> 00:32:07,280
Speaker 2: in a farce on its face, but never had any

668
00:32:07,320 --> 00:32:08,520
Speaker 2: real credible testimony.

669
00:32:08,760 --> 00:32:09,760
Speaker 3: Archer has been saying this.

670
00:32:10,080 --> 00:32:12,960
Speaker 2: Tony Bobolinski came forward in what I mean it was

671
00:32:12,960 --> 00:32:15,600
Speaker 2: October I believe of twenty twenty, and said, yeah, what

672
00:32:15,600 --> 00:32:16,320
Speaker 2: are you talking about?

673
00:32:16,400 --> 00:32:17,640
Speaker 3: I met with Joe Biden.

674
00:32:17,720 --> 00:32:21,080
Speaker 2: I literally all of this, all of the core allegation,

675
00:32:21,200 --> 00:32:25,000
Speaker 2: the facts, everything has been here now for years, and

676
00:32:25,360 --> 00:32:28,640
Speaker 2: you know, still the media is either is either downplaying

677
00:32:28,640 --> 00:32:30,440
Speaker 2: it or I mean, really what it was shocked me

678
00:32:30,440 --> 00:32:33,040
Speaker 2: with Goldman is like I'm like, wait, he just admitted it,

679
00:32:33,080 --> 00:32:35,760
Speaker 2: Like he said, he admitted the quiet part out loud,

680
00:32:35,800 --> 00:32:38,240
Speaker 2: like he says Biden talked to him on the phone,

681
00:32:38,480 --> 00:32:40,240
Speaker 2: and it's like you said, Crystal, even if they were

682
00:32:40,280 --> 00:32:42,360
Speaker 2: just talking about the weather, which I don't believe let's

683
00:32:42,360 --> 00:32:45,560
Speaker 2: say that they were. When you were able to dial

684
00:32:45,600 --> 00:32:48,840
Speaker 2: somebody up in a meeting to flex your relationship with

685
00:32:48,880 --> 00:32:51,520
Speaker 2: them and put them on the phone with business partners.

686
00:32:51,200 --> 00:32:53,480
Speaker 3: That's worth a lot of money. If he's trying to

687
00:32:53,520 --> 00:32:54,040
Speaker 3: close a dealer.

688
00:32:54,080 --> 00:32:55,800
Speaker 2: He says, yeah, I've got juice, and they're like, yeah,

689
00:32:55,800 --> 00:32:57,120
Speaker 2: well kind of juicy got And he goes, I can

690
00:32:57,120 --> 00:32:59,080
Speaker 2: get my dad on the phone anytime I want. And

691
00:32:59,120 --> 00:33:01,440
Speaker 2: you're sitting in a caf in China or you're seeing

692
00:33:01,480 --> 00:33:03,520
Speaker 2: in a cafe in Italy, which both of these happened,

693
00:33:03,520 --> 00:33:05,520
Speaker 2: just so you're aware. And he dials his dad up

694
00:33:05,560 --> 00:33:07,080
Speaker 2: in the middle of the night or whatever, and his

695
00:33:07,160 --> 00:33:09,320
Speaker 2: dad probably answers because he's terrified his son.

696
00:33:09,240 --> 00:33:10,840
Speaker 3: Is probably going on a crack bingch again.

697
00:33:11,160 --> 00:33:13,280
Speaker 2: But you're doing that to flex the fact that you

698
00:33:13,320 --> 00:33:16,040
Speaker 2: have such a deep relationship with the guy that's still corruption,

699
00:33:16,160 --> 00:33:18,640
Speaker 2: you know, regardless. And Biden, you know, he said he's

700
00:33:18,680 --> 00:33:21,080
Speaker 2: not stupid. He's been in the game for a long time.

701
00:33:21,160 --> 00:33:24,000
Speaker 2: He knew exactly what Hunter was doing when this was

702
00:33:24,040 --> 00:33:24,440
Speaker 2: all going on.

703
00:33:24,600 --> 00:33:26,920
Speaker 1: Yeah, I think I think there's no it's hard to

704
00:33:27,200 --> 00:33:31,800
Speaker 1: come up with another plausible explanation here. So we've got

705
00:33:31,800 --> 00:33:36,680
Speaker 1: some interesting media coverage of Devin Archer's testimony and what

706
00:33:36,760 --> 00:33:39,400
Speaker 1: this all means for Joe Biden. Let's take a listen

707
00:33:39,440 --> 00:33:41,200
Speaker 1: to how they are portraying the facts.

708
00:33:41,320 --> 00:33:44,920
Speaker 7: So Goldin is sort of explaining that Archer qualified the

709
00:33:44,960 --> 00:33:47,600
Speaker 7: topics of discussion on these phone calls as niceties, that

710
00:33:47,600 --> 00:33:50,840
Speaker 7: Biden sometimes didn't even know who was on the other

711
00:33:50,920 --> 00:33:53,120
Speaker 7: line with his son Hunter, and you know source in

712
00:33:53,120 --> 00:33:55,479
Speaker 7: the room telling scene. And now that Archer did not

713
00:33:55,560 --> 00:33:57,760
Speaker 7: point the finger directly at any sort of a connection

714
00:33:57,800 --> 00:34:00,960
Speaker 7: between Joe Biden and his son's form business dealings'd rather,

715
00:34:01,320 --> 00:34:04,560
Speaker 7: you know, said that he was that Hunter Biden was

716
00:34:04,560 --> 00:34:07,040
Speaker 7: selling the illusion of set access oris.

717
00:34:07,480 --> 00:34:10,319
Speaker 8: Really a stunning development, zech when you consider that Republicans

718
00:34:10,320 --> 00:34:13,160
Speaker 8: were selling this as a breakthrough that would link Hunter's

719
00:34:13,200 --> 00:34:17,920
Speaker 8: business dealings with his father. Instead, business was apparently never discussed,

720
00:34:18,000 --> 00:34:21,800
Speaker 8: according to Devin Archer. Zach Cohen, thanks much for the reporting.

721
00:34:21,600 --> 00:34:22,680
Speaker 3: Right, that's the takeaway.

722
00:34:22,840 --> 00:34:26,400
Speaker 1: Right, So we're either we're either supposed to believe that

723
00:34:26,440 --> 00:34:28,560
Speaker 1: the press of the United States is such a fool

724
00:34:29,400 --> 00:34:31,960
Speaker 1: that he had no idea what was going on with

725
00:34:32,040 --> 00:34:37,320
Speaker 1: these many phone calls with Hunter's business associates, or they're wildly,

726
00:34:37,400 --> 00:34:40,400
Speaker 1: you know, he lied, and they are still wildly misrepresenting

727
00:34:40,480 --> 00:34:44,359
Speaker 1: what really happened here. I mean, listen, have Republicans put

728
00:34:44,440 --> 00:34:48,640
Speaker 1: their finger on like Joe Biden directly financially benefiting from

729
00:34:48,719 --> 00:34:49,560
Speaker 1: Hunter's business.

730
00:34:49,600 --> 00:34:50,560
Speaker 4: No, they haven't.

731
00:34:50,600 --> 00:34:53,840
Speaker 1: They have not gotten any you know, smoking gun evidence

732
00:34:53,840 --> 00:34:57,000
Speaker 1: with regard to that. But do they have pretty clear

733
00:34:57,239 --> 00:35:00,440
Speaker 1: evidence that Joe Biden has lied to the America people

734
00:35:00,520 --> 00:35:02,719
Speaker 1: about how all this went down and you know, the

735
00:35:03,840 --> 00:35:08,280
Speaker 1: at least verbal involvement of him with his son's business dealings.

736
00:35:08,400 --> 00:35:10,719
Speaker 2: Yes, yeah, I mean this is where the semantics of

737
00:35:10,760 --> 00:35:14,120
Speaker 2: it just become absurd to me. If I have a

738
00:35:14,120 --> 00:35:17,480
Speaker 2: little sister, If my little sister was trading off my

739
00:35:17,600 --> 00:35:19,920
Speaker 2: name in the way that James Biden was trading off

740
00:35:19,960 --> 00:35:22,720
Speaker 2: of his and used one hundred thousand dollars slush fund

741
00:35:22,760 --> 00:35:25,200
Speaker 2: to buy herself a laptop, threw a deal with the

742
00:35:25,280 --> 00:35:28,280
Speaker 2: Chinese Communist Party, and not just buy herself a laptop,

743
00:35:28,320 --> 00:35:30,920
Speaker 2: but for all of my nieces and nephews and possibly

744
00:35:30,920 --> 00:35:33,360
Speaker 2: even my in conjunction by the way, with one of

745
00:35:33,360 --> 00:35:35,920
Speaker 2: my children. Yeah, I think I did financially benefit from that.

746
00:35:35,960 --> 00:35:40,399
Speaker 2: I mean, by any common understanding of family corruption, they

747
00:35:40,560 --> 00:35:44,480
Speaker 2: obviously benefited from it. So did Biden's actual bank account

748
00:35:44,760 --> 00:35:45,560
Speaker 2: get any money.

749
00:35:45,600 --> 00:35:47,880
Speaker 3: I don't know. I mean I actually still think it's possible.

750
00:35:47,880 --> 00:35:50,319
Speaker 2: But you know, in the I think we even said

751
00:35:50,320 --> 00:35:52,840
Speaker 2: this at the time, Crystal, it's almost very like third

752
00:35:52,920 --> 00:35:55,120
Speaker 2: world in the way that this entire thing went down.

753
00:35:55,480 --> 00:35:58,080
Speaker 2: Like the way that it works in a developing world is,

754
00:35:58,120 --> 00:36:00,600
Speaker 2: you know, you never pay. Sometimes you pay somebody off directly,

755
00:36:00,719 --> 00:36:02,719
Speaker 2: but usually it's like, ah, you pay my uncle, you

756
00:36:02,760 --> 00:36:06,080
Speaker 2: pay my cousin. The cousin will you know, facilitate. It's

757
00:36:06,080 --> 00:36:10,000
Speaker 2: like in Narcos Mexico, whenever the Defense Minister of Mexico,

758
00:36:10,080 --> 00:36:11,320
Speaker 2: he's like, you don't deal with me, you deal with

759
00:36:11,320 --> 00:36:14,080
Speaker 2: my nephew. The nephew is the one who is like

760
00:36:14,160 --> 00:36:17,240
Speaker 2: the bank transfer guy between the cartels and the government.

761
00:36:17,280 --> 00:36:20,680
Speaker 2: I mean, you know, with modern money laundering and FBI

762
00:36:20,760 --> 00:36:23,279
Speaker 2: stings and all of that, Like even in the rest

763
00:36:23,280 --> 00:36:25,399
Speaker 2: of the world, briefcases full of cation, all.

764
00:36:25,280 --> 00:36:26,520
Speaker 3: That stuff doesn't happen.

765
00:36:26,560 --> 00:36:30,120
Speaker 2: It's but it is still obvious in any familial like

766
00:36:30,239 --> 00:36:33,919
Speaker 2: network ties that if you are going to mansions paid

767
00:36:33,960 --> 00:36:37,280
Speaker 2: for with corrupt cash, you benefited from that. We understand

768
00:36:37,280 --> 00:36:40,160
Speaker 2: that right whenever it comes to private jets. But why

769
00:36:40,160 --> 00:36:42,759
Speaker 2: don't we understand it whenever your quality of life and

770
00:36:42,800 --> 00:36:45,840
Speaker 2: all the people around you is directly affected by this corruption,

771
00:36:45,960 --> 00:36:48,760
Speaker 2: then to me, and again in any common public understanding

772
00:36:48,800 --> 00:36:51,279
Speaker 2: of that, I understand not legally, then you clearly did

773
00:36:51,280 --> 00:36:52,920
Speaker 2: financially benefit from these transactions.

774
00:36:53,360 --> 00:36:56,520
Speaker 1: Republicans, you know they're doing this for political reasons. They

775
00:36:56,520 --> 00:36:59,080
Speaker 1: clearly don't really care about corruption on its face. Sure,

776
00:36:59,080 --> 00:37:01,160
Speaker 1: I don't say shit about Donald tr All of that

777
00:37:01,200 --> 00:37:03,520
Speaker 1: can be true, and it can also be true that

778
00:37:03,760 --> 00:37:05,680
Speaker 1: the conduct here from the President of United States is

779
00:37:05,719 --> 00:37:08,560
Speaker 1: a problem, and it's something that the mainstream press should

780
00:37:08,560 --> 00:37:12,080
Speaker 1: be digging into rather than trying to give excuses and

781
00:37:12,400 --> 00:37:15,399
Speaker 1: you know, spin this testimony yesterday, which was really bad

782
00:37:15,440 --> 00:37:18,440
Speaker 1: for the president and did reveal lies that he's told

783
00:37:18,440 --> 00:37:20,960
Speaker 1: the American people, try to spin this as like a

784
00:37:20,960 --> 00:37:25,120
Speaker 1: loss for Republicans. And also, I just you know, why

785
00:37:25,160 --> 00:37:27,839
Speaker 1: are you why play into their game where they want

786
00:37:27,840 --> 00:37:31,080
Speaker 1: this just to be about like scoring points against President

787
00:37:31,080 --> 00:37:33,160
Speaker 1: Biden in this like partisan battle.

788
00:37:33,760 --> 00:37:34,799
Speaker 4: Why play their game?

789
00:37:34,880 --> 00:37:37,440
Speaker 1: Why not just actually look at the facts when it

790
00:37:37,480 --> 00:37:39,400
Speaker 1: pertains to Trump, when it pertains to Biden.

791
00:37:39,520 --> 00:37:41,120
Speaker 4: I mean, that's certainly what we try to.

792
00:37:41,080 --> 00:37:42,200
Speaker 3: Do here obviously.

793
00:37:42,320 --> 00:37:44,240
Speaker 2: Yeah, and you know for all of the what ifs,

794
00:37:44,600 --> 00:37:49,800
Speaker 2: you can search breaking points Jared Kushner Saudi, if you're interested.

795
00:37:50,080 --> 00:37:52,640
Speaker 1: Was yesterday we were talking about Trump builking his orders

796
00:37:52,680 --> 00:37:54,920
Speaker 1: for sixty five million dollars in legal fear.

797
00:37:54,960 --> 00:38:01,319
Speaker 2: You are welcome to search Steve Minuchin, Trump, Saudi, Jared Saudi.

798
00:38:02,040 --> 00:38:05,480
Speaker 2: You know, like all of the America First Policies Institute,

799
00:38:05,840 --> 00:38:08,200
Speaker 2: you know, billionaires. I was like, we could go into

800
00:38:08,239 --> 00:38:11,200
Speaker 2: it forever, and that's that's the way that it should be. Okay,

801
00:38:11,280 --> 00:38:14,200
Speaker 2: let's go to the next part here. Some interesting developments

802
00:38:14,239 --> 00:38:17,799
Speaker 2: going on in Ukraine. Obviously Chrysill alluded to this. There

803
00:38:17,800 --> 00:38:20,360
Speaker 2: have been multiple drone strikes now by the Ukrainians on

804
00:38:20,400 --> 00:38:23,400
Speaker 2: the city of Moscow, kind of just becoming a routine development.

805
00:38:23,480 --> 00:38:25,920
Speaker 2: I guess us all just hope that, you know, they

806
00:38:26,080 --> 00:38:28,000
Speaker 2: continue to just strike buildings and you know, if they

807
00:38:28,000 --> 00:38:30,759
Speaker 2: don't kill the wrong guy and that way launches us

808
00:38:30,800 --> 00:38:34,040
Speaker 2: all into a massive conflict. But there was a piece

809
00:38:34,040 --> 00:38:37,800
Speaker 2: of news buried actually within a New York Times expose,

810
00:38:38,680 --> 00:38:41,000
Speaker 2: not even expose per se, more like a profile of

811
00:38:41,080 --> 00:38:44,680
Speaker 2: Elon Musk and of Starlink, which revealed not only the

812
00:38:44,800 --> 00:38:50,239
Speaker 2: Ukrainian reliance on starlink, but also Elon's personal intervention here

813
00:38:50,719 --> 00:38:53,800
Speaker 2: into the conflict, which does say a lot about our society.

814
00:38:53,840 --> 00:38:56,000
Speaker 2: So let's go and put this up there on the screen.

815
00:38:56,400 --> 00:39:01,080
Speaker 2: Elon apparently is personally intervening in the war and vetoing

816
00:39:01,160 --> 00:39:05,839
Speaker 2: access to its services for Ukrainian military to facilitate operations

817
00:39:05,880 --> 00:39:09,120
Speaker 2: that he personally does not approve of. So as an

818
00:39:09,120 --> 00:39:12,840
Speaker 2: example that they give here, they say that mister Musk

819
00:39:12,960 --> 00:39:15,279
Speaker 2: expressed fears that Ukraine would use starlink not just to

820
00:39:15,280 --> 00:39:18,160
Speaker 2: defend itself but also to conduct offensive operations to regain

821
00:39:18,280 --> 00:39:22,160
Speaker 2: territory seized by Russia, which would cause significant military casualties.

822
00:39:22,760 --> 00:39:26,400
Speaker 2: And this was actually personally intervened then by the Biden

823
00:39:26,400 --> 00:39:29,680
Speaker 2: administration to call him. Let's go to the next one

824
00:39:29,880 --> 00:39:33,600
Speaker 2: that actually shows you. Starlink access since then has quote

825
00:39:33,640 --> 00:39:36,760
Speaker 2: fluctuated depending on the movements of the war in Russia

826
00:39:36,840 --> 00:39:39,560
Speaker 2: as Russia won territory and Ukraine fought to take it back.

827
00:39:39,840 --> 00:39:42,759
Speaker 2: As battle line shifted, Musk has used a process called

828
00:39:42,800 --> 00:39:47,120
Speaker 2: geofencing to restrict where starlink is available on the front line.

829
00:39:47,239 --> 00:39:50,720
Speaker 2: SpaceX uses this location data by its service to enforce

830
00:39:50,760 --> 00:39:54,560
Speaker 2: then geofencing limits. This has caused problems when Ukrainian troops

831
00:39:54,600 --> 00:39:57,640
Speaker 2: tried retaking cities like Kirsan in the Russian controlled areas

832
00:39:57,640 --> 00:40:00,200
Speaker 2: in the fall, they needed internet access to community eight

833
00:40:00,560 --> 00:40:03,719
Speaker 2: members of the arm versus message mister Musk requests to

834
00:40:03,840 --> 00:40:07,480
Speaker 2: restore service and areas where the army was advancing. So

835
00:40:07,880 --> 00:40:11,200
Speaker 2: it's it's funny because there are several elements to this.

836
00:40:11,280 --> 00:40:12,880
Speaker 2: On the one hand, you could be like, oh, this

837
00:40:12,960 --> 00:40:16,600
Speaker 2: is capricious. On the other, Starlink is being provided for

838
00:40:16,600 --> 00:40:19,960
Speaker 2: free the Ukrainian military, and they call it the backbone

839
00:40:20,200 --> 00:40:23,799
Speaker 2: of their you know, of their military operations. So if

840
00:40:23,800 --> 00:40:26,520
Speaker 2: they want some terms of dictation or whatever with what's

841
00:40:26,560 --> 00:40:28,080
Speaker 2: going on, then you should pay for it.

842
00:40:28,520 --> 00:40:29,760
Speaker 3: That's number one too.

843
00:40:30,280 --> 00:40:32,560
Speaker 2: You know, you're welcome in many cases to go get

844
00:40:32,600 --> 00:40:36,160
Speaker 2: some ISR, which is intelligence and surveillance and reconnaissance of

845
00:40:36,200 --> 00:40:38,200
Speaker 2: your own. If you could afford it, you can't because

846
00:40:38,239 --> 00:40:40,800
Speaker 2: the US is the one who's paying all of your bills.

847
00:40:40,920 --> 00:40:44,040
Speaker 2: So I've seen Elon take a tremendous amount of criticism

848
00:40:44,080 --> 00:40:44,760
Speaker 2: for this crystal.

849
00:40:45,040 --> 00:40:46,080
Speaker 3: But if he.

850
00:40:45,920 --> 00:40:49,239
Speaker 2: Does personally own the company and they he's providing them

851
00:40:49,239 --> 00:40:52,640
Speaker 2: a service for free, then in my mind, it's like, well, okay,

852
00:40:52,719 --> 00:40:55,359
Speaker 2: well then why shouldn't his opinion matter, Like, if you're

853
00:40:55,360 --> 00:40:56,840
Speaker 2: paying for it, then that's one thing. You know, we

854
00:40:56,880 --> 00:40:59,440
Speaker 2: can have a negotiation here and still obviously he can

855
00:40:59,480 --> 00:41:01,440
Speaker 2: do what he wants. But they're not even paying for it.

856
00:41:01,600 --> 00:41:04,480
Speaker 2: They're literally forgetting it for free. And then you know,

857
00:41:05,040 --> 00:41:07,840
Speaker 2: the US military and apparently the Ukrainian military are so

858
00:41:08,000 --> 00:41:10,680
Speaker 2: wholly reliant in a single point of failure, which is

859
00:41:10,719 --> 00:41:13,120
Speaker 2: a private company in the whims of the guy who

860
00:41:13,280 --> 00:41:16,080
Speaker 2: changed freaking Twitter to X It's like, well, what are

861
00:41:16,080 --> 00:41:18,279
Speaker 2: you surprised by at this point in the conflict? Why

862
00:41:18,280 --> 00:41:20,799
Speaker 2: are you invested in something else? So that's a whole

863
00:41:20,840 --> 00:41:23,440
Speaker 2: other conversation. I think it's a big meta problem. It's

864
00:41:23,480 --> 00:41:24,120
Speaker 2: worth discussing.

865
00:41:24,200 --> 00:41:26,839
Speaker 1: It is a big meta problem, and I really would

866
00:41:26,920 --> 00:41:29,640
Speaker 1: like people to try to put aside how they specifically

867
00:41:29,640 --> 00:41:32,640
Speaker 1: feel about Elon Musk and how they specifically feel about

868
00:41:32,640 --> 00:41:35,480
Speaker 1: what the right or wrong policy is with regard to Ukraine.

869
00:41:36,000 --> 00:41:39,480
Speaker 1: We should not be outsourcing key sta functions to any

870
00:41:39,760 --> 00:41:43,360
Speaker 1: one person, period because, like you know, when when he

871
00:41:43,480 --> 00:41:47,759
Speaker 1: gave access to Ukraine to Starlink, like celebrated, but then

872
00:41:47,880 --> 00:41:50,880
Speaker 1: you didn't realize that you were then giving him a

873
00:41:50,920 --> 00:41:54,919
Speaker 1: say in the in what your foreign policy, as the

874
00:41:55,040 --> 00:41:57,959
Speaker 1: supposedly most powerful nation on the planet, what your foreign

875
00:41:58,040 --> 00:42:00,359
Speaker 1: policy is. I mean, you're basically like putting that in

876
00:42:00,360 --> 00:42:04,600
Speaker 1: his hands. That's insane, that is malpractice.

877
00:42:04,640 --> 00:42:05,360
Speaker 3: Yeah, that'sul.

878
00:42:05,760 --> 00:42:10,640
Speaker 1: So we should not be outsourcing key government state functions

879
00:42:10,719 --> 00:42:15,040
Speaker 1: of you know, state craft and warcraft to one person,

880
00:42:15,080 --> 00:42:17,120
Speaker 1: whether you like him or hat him, or feel indifferent

881
00:42:17,120 --> 00:42:18,879
Speaker 1: about him, or think he makes good decision a bad

882
00:42:18,920 --> 00:42:22,920
Speaker 1: decisions or whatever. So the part of this piece that

883
00:42:23,000 --> 00:42:27,319
Speaker 1: actually really struck home for me is they quoted this

884
00:42:27,360 --> 00:42:30,440
Speaker 1: tweet from Elon from back in April, where he says,

885
00:42:30,520 --> 00:42:34,920
Speaker 1: quote between Tesla, Starlink, and Twitter, I may have more

886
00:42:34,960 --> 00:42:39,760
Speaker 1: real time global economic data in one head than anyone ever.

887
00:42:40,600 --> 00:42:41,600
Speaker 4: That may be true.

888
00:42:41,719 --> 00:42:44,200
Speaker 1: I think he's right, and I really want us to

889
00:42:44,239 --> 00:42:47,680
Speaker 1: take in the fact that this one individual, again, however

890
00:42:47,719 --> 00:42:50,080
Speaker 1: you feel about him, and I certainly made my feelings

891
00:42:50,120 --> 00:42:52,560
Speaker 1: and you know, analysis of his business decisions clearer, how

892
00:42:52,560 --> 00:42:56,520
Speaker 1: are you feel about him? He is deeply integral to

893
00:42:57,280 --> 00:43:02,720
Speaker 1: at least three really key industries in our society. Tesla,

894
00:43:02,840 --> 00:43:05,799
Speaker 1: I mean the move towards ev vehicles. This is a

895
00:43:06,080 --> 00:43:09,960
Speaker 1: central component of the Biden administration pauses central push in

896
00:43:10,080 --> 00:43:12,560
Speaker 1: terms of people who care about climate change, and he

897
00:43:12,680 --> 00:43:15,600
Speaker 1: is huge market shared there. Starlink. I think this is

898
00:43:15,800 --> 00:43:19,200
Speaker 1: case in point of why he's got a huge number

899
00:43:19,200 --> 00:43:20,759
Speaker 1: of the number in here.

900
00:43:20,760 --> 00:43:21,160
Speaker 3: What is it.

901
00:43:21,200 --> 00:43:23,880
Speaker 1: He's got like more than half of the satellites that

902
00:43:23,920 --> 00:43:27,840
Speaker 1: are orbiting our earth are elon Musk satellites. That seems

903
00:43:27,880 --> 00:43:31,120
Speaker 1: like it's pretty significant. And Twitter, and now that he

904
00:43:31,320 --> 00:43:34,600
Speaker 1: or x whatever, you know, he has bought and now

905
00:43:34,640 --> 00:43:38,680
Speaker 1: controls a key part of our communications infrastructure and something

906
00:43:38,719 --> 00:43:42,160
Speaker 1: that is you know, bedrock to our democracy and our

907
00:43:42,200 --> 00:43:46,719
Speaker 1: town square, etcetera, etcetera. So this one individual has so

908
00:43:46,880 --> 00:43:48,520
Speaker 1: much power in so many sectors.

909
00:43:48,520 --> 00:43:49,959
Speaker 4: I'm not sure people have really wrapped the hudder.

910
00:43:50,160 --> 00:43:52,239
Speaker 2: Yeah, and then just don't be surprised then whenever that

911
00:43:52,320 --> 00:43:55,880
Speaker 2: individual flexes that power based upon their whims, especially when

912
00:43:55,920 --> 00:43:57,640
Speaker 2: you're not paying for it, you know, it's like that's

913
00:43:57,680 --> 00:44:00,600
Speaker 2: the one that really and it's especially great me. You know,

914
00:44:00,600 --> 00:44:02,840
Speaker 2: it's like like you said, he was celebrated whenever he

915
00:44:02,840 --> 00:44:04,279
Speaker 2: gave it to him for free, and then they didn't

916
00:44:04,320 --> 00:44:06,879
Speaker 2: realize that, you know, there is no such thing as

917
00:44:06,920 --> 00:44:10,360
Speaker 2: a free lunch. Meanwhile, obviously the war in Ukraine continues

918
00:44:10,400 --> 00:44:13,120
Speaker 2: to become brutal or Russians really showing us all who

919
00:44:13,160 --> 00:44:13,440
Speaker 2: they are.

920
00:44:13,520 --> 00:44:15,640
Speaker 3: Let's put this up there on the screen. Just a

921
00:44:15,680 --> 00:44:16,520
Speaker 3: barbaric attack.

922
00:44:16,640 --> 00:44:19,960
Speaker 2: Yesterday there was a missile strike actually on Zelenski's hometown,

923
00:44:20,000 --> 00:44:23,640
Speaker 2: which killed six civilians, including a ten year old girl

924
00:44:23,880 --> 00:44:25,920
Speaker 2: and her mother. It's always important just to remember that

925
00:44:25,960 --> 00:44:29,040
Speaker 2: this level of barbarism happens on a daily basis. Then,

926
00:44:29,080 --> 00:44:31,880
Speaker 2: of course, you know, Ukraine is retaliating, and then of

927
00:44:31,920 --> 00:44:36,440
Speaker 2: course that singular missile strike was done crystal because Zelenski

928
00:44:36,920 --> 00:44:40,960
Speaker 2: went on Twitter and issued effectively battle plans for retaking Crimea.

929
00:44:41,000 --> 00:44:43,160
Speaker 2: We're in a vicious you know cycle, and this was

930
00:44:43,200 --> 00:44:46,919
Speaker 2: meant to be a personal rebuke against President Zelenski as well.

931
00:44:47,520 --> 00:44:49,279
Speaker 3: Let's also not forget this. Let's put this up there

932
00:44:49,320 --> 00:44:49,840
Speaker 3: on the screen.

933
00:44:50,280 --> 00:44:53,480
Speaker 2: The Kremlin actually just yesterday threatened the use of nuclear

934
00:44:53,480 --> 00:44:57,400
Speaker 2: weapons in retaliation for the drone strike on Moscow skyscrapers.

935
00:44:57,480 --> 00:45:00,200
Speaker 3: They warned, quote, there is no other way out.

936
00:45:00,280 --> 00:45:03,759
Speaker 2: After attacks on the business district that closed Russian airspace

937
00:45:04,000 --> 00:45:07,080
Speaker 2: and left one injured. Closing Russian airspace, by the way,

938
00:45:07,239 --> 00:45:09,680
Speaker 2: is no joke. You know, I've just recently been taking

939
00:45:09,880 --> 00:45:12,799
Speaker 2: flights to India back and forth. The disruption over that

940
00:45:13,320 --> 00:45:16,520
Speaker 2: airspace is one of the most critical areas for specifically

941
00:45:16,560 --> 00:45:20,839
Speaker 2: European flights to East Asia and also the long haul

942
00:45:20,880 --> 00:45:23,439
Speaker 2: flights that come from the East coast of the United

943
00:45:23,440 --> 00:45:26,200
Speaker 2: States that usually fly over this. It's not only has

944
00:45:26,239 --> 00:45:29,520
Speaker 2: caused multiple cancelations, but the uncertainty and all of that.

945
00:45:29,600 --> 00:45:31,759
Speaker 2: I mean, we all know the Malay I forgot was

946
00:45:31,760 --> 00:45:34,439
Speaker 2: it Malayian flight for I forget that got shot down

947
00:45:34,640 --> 00:45:36,680
Speaker 2: over Ukraine, not I mean, not that long ago.

948
00:45:36,719 --> 00:45:37,680
Speaker 3: It's almost like I think it.

949
00:45:37,600 --> 00:45:41,759
Speaker 2: Was like about a decade ago, because some Russian separatists

950
00:45:41,840 --> 00:45:44,200
Speaker 2: thought that it was I forget exactly what they thought

951
00:45:44,200 --> 00:45:46,000
Speaker 2: it was. But the point being, you know, one hundreds

952
00:45:46,000 --> 00:45:49,400
Speaker 2: of civilians were killed. So it's creating a tremendous amount

953
00:45:49,440 --> 00:45:52,680
Speaker 2: of uncertainty in this entire conflict. We've got little kids

954
00:45:52,680 --> 00:45:55,800
Speaker 2: getting killed in apartment buildings, you know, in terms of

955
00:45:55,840 --> 00:45:59,000
Speaker 2: a retaliation, and then we've got you know, drone strikes

956
00:45:59,040 --> 00:46:02,919
Speaker 2: on them freaking business district in downtown Moscow. I mean,

957
00:46:03,120 --> 00:46:05,840
Speaker 2: that's what I said at the beginning of this entire discussion,

958
00:46:06,760 --> 00:46:08,799
Speaker 2: which is it only takes one guy to get killed

959
00:46:08,880 --> 00:46:10,280
Speaker 2: and things change completely.

960
00:46:10,600 --> 00:46:11,960
Speaker 3: They don't know who they're going to hit.

961
00:46:12,120 --> 00:46:14,240
Speaker 2: They could hit, you know, somebody who's like the cousin

962
00:46:14,320 --> 00:46:17,560
Speaker 2: of whatever, some person who's very special up in there,

963
00:46:17,560 --> 00:46:20,880
Speaker 2: and the whole conflict could change completely overnight. So anyway,

964
00:46:20,960 --> 00:46:22,680
Speaker 2: you know, it's always just a reminder that like there's

965
00:46:22,719 --> 00:46:25,400
Speaker 2: a tremendous amount of uncertainty and risk and you know,

966
00:46:25,560 --> 00:46:27,480
Speaker 2: trauma and all that that actually comes.

967
00:46:27,360 --> 00:46:28,879
Speaker 3: To a real war. It's not just a video game

968
00:46:28,920 --> 00:46:29,960
Speaker 3: that people playing on Twitter.

969
00:46:30,040 --> 00:46:32,040
Speaker 4: I mean, it's really a live fire exercise.

970
00:46:32,160 --> 00:46:35,479
Speaker 1: And so it appears that the Ukrainians have been trying

971
00:46:35,480 --> 00:46:39,399
Speaker 1: to target these sort of like symbolic targets ministries. You've

972
00:46:39,440 --> 00:46:42,319
Speaker 1: had little in the way of casualties in terms of

973
00:46:42,320 --> 00:46:44,759
Speaker 1: these attacks directly on Moscow right now. I mean, their

974
00:46:45,239 --> 00:46:47,840
Speaker 1: intent is to terrorize the citizen.

975
00:46:47,920 --> 00:46:48,120
Speaker 3: Ryan.

976
00:46:48,200 --> 00:46:49,680
Speaker 4: I think that's really the intent.

977
00:46:49,719 --> 00:46:51,640
Speaker 1: You can see some of the videos that people post,

978
00:46:51,680 --> 00:46:54,400
Speaker 1: and you know, I'm screaming in terrors they see drone

979
00:46:54,400 --> 00:46:58,640
Speaker 1: strikes on their city. And it's understandable when you consider

980
00:46:58,760 --> 00:47:03,879
Speaker 1: the horror that the Russians have inflicted on Ukrainian civilians,

981
00:47:04,840 --> 00:47:06,920
Speaker 1: you know. So I'm not saying that these are like

982
00:47:07,040 --> 00:47:10,000
Speaker 1: on the same level. But there's a lot going on

983
00:47:10,080 --> 00:47:13,839
Speaker 1: in Russia domestically right now, with moves being made by

984
00:47:13,840 --> 00:47:17,399
Speaker 1: their legislative bodies to try to you know, potentially have

985
00:47:18,000 --> 00:47:21,640
Speaker 1: martial law, to try to potentially have another round of recruitment.

986
00:47:21,680 --> 00:47:26,800
Speaker 1: And if Ukrainians, if Zelenski thinks that these drone strikes

987
00:47:26,840 --> 00:47:30,120
Speaker 1: on Moscow are going to you know, force the crumblin

988
00:47:30,160 --> 00:47:33,239
Speaker 1: to the table and you know, make the Russian population

989
00:47:33,440 --> 00:47:36,320
Speaker 1: really reject this this war, I think that's very foolish.

990
00:47:36,400 --> 00:47:38,520
Speaker 1: I don't think that that's likely to be the outcome.

991
00:47:38,680 --> 00:47:41,880
Speaker 1: So ultimately you're just playing with fire here and risking

992
00:47:41,920 --> 00:47:44,399
Speaker 1: a broader conflagration. And maybe that is the real point

993
00:47:44,400 --> 00:47:45,200
Speaker 1: for the Ukrainians.

994
00:47:45,280 --> 00:47:48,640
Speaker 2: Yeah, well that's smart and look, who knows. We'll continue

995
00:47:48,640 --> 00:47:53,839
Speaker 2: to keep everybody updated. Let's go to the next part.

996
00:47:54,120 --> 00:47:56,879
Speaker 2: This is a wild story, one that we actually spent

997
00:47:57,000 --> 00:47:58,680
Speaker 2: hours kind of try to digg In went.

998
00:47:58,640 --> 00:47:59,319
Speaker 4: Down this rabbit hole.

999
00:47:59,400 --> 00:48:01,440
Speaker 3: I was just like, what the hell is going on?

1000
00:48:01,600 --> 00:48:04,200
Speaker 2: Is this as osne as it appears on the surface,

1001
00:48:04,320 --> 00:48:06,680
Speaker 2: And the answer actually is yes, So let's put this

1002
00:48:06,760 --> 00:48:09,000
Speaker 2: up there. The first person to flag it to me

1003
00:48:09,440 --> 00:48:12,680
Speaker 2: was Kyle Bass, who put out this tweet, and we're

1004
00:48:12,680 --> 00:48:15,400
Speaker 2: going to go through some of the actual allegations in here.

1005
00:48:15,400 --> 00:48:19,560
Speaker 2: He says, quote, an illegal, secret Chinese bioagent lab has

1006
00:48:19,600 --> 00:48:22,800
Speaker 2: been raided by the FBI, the CDC, and California Public

1007
00:48:22,800 --> 00:48:28,000
Speaker 2: Health Department in Fresno County, California. The CDC's Division of

1008
00:48:28,120 --> 00:48:33,759
Speaker 2: Select Agents found infectious, infectious, bacterial and viral agents at

1009
00:48:33,760 --> 00:48:38,000
Speaker 2: the site, which was listed as an empty building. Bioagents

1010
00:48:38,000 --> 00:48:41,200
Speaker 2: included malaria, rebella, and HIV.

1011
00:48:41,680 --> 00:48:43,600
Speaker 3: He continues, Chlamydia E.

1012
00:48:43,760 --> 00:48:48,000
Speaker 2: Coli, numerous other types hepatitis B, and C herpes. One

1013
00:48:48,040 --> 00:48:51,480
Speaker 2: in five the lab had quote nine hundred genetically engineered

1014
00:48:51,560 --> 00:48:56,520
Speaker 2: mice designed to carry various COVID streams living in inhumane conditions,

1015
00:48:56,560 --> 00:49:01,200
Speaker 2: with another one hundred and seventy five that were actually

1016
00:49:01,239 --> 00:49:04,880
Speaker 2: found dead. Okay, so let's look at the actual details,

1017
00:49:04,920 --> 00:49:08,440
Speaker 2: and it appears actually that many of them do add ups.

1018
00:49:08,560 --> 00:49:11,280
Speaker 2: Let's go to the NBC News report. So the NBC

1019
00:49:11,320 --> 00:49:15,120
Speaker 2: News reports specifically did not put the they did not

1020
00:49:15,400 --> 00:49:18,360
Speaker 2: ascribe the origin and the connections to the Chinese Communist

1021
00:49:18,400 --> 00:49:22,800
Speaker 2: Party in this, but they do actually confirm something key one.

1022
00:49:22,880 --> 00:49:26,359
Speaker 2: This was an illegal, unlicensed laboratory full of lab mice,

1023
00:49:26,680 --> 00:49:29,719
Speaker 2: full of medical waste and full of hazardous material. The

1024
00:49:29,760 --> 00:49:33,320
Speaker 2: Fresno County Public Health Department quote, evaluate and assess the

1025
00:49:33,360 --> 00:49:36,960
Speaker 2: activities of this unlicensed lab. And what they found is

1026
00:49:37,000 --> 00:49:40,560
Speaker 2: that with multiple state and federal agencies determined biological and

1027
00:49:40,600 --> 00:49:47,520
Speaker 2: chemical contents that were actually on site, including coronavirus, HIV, hepatitis,

1028
00:49:47,520 --> 00:49:51,480
Speaker 2: and herpie So they actually confirmed some of the actual

1029
00:49:51,560 --> 00:49:54,600
Speaker 2: chemicals and the biological strange and many of the others

1030
00:49:54,760 --> 00:49:57,360
Speaker 2: that were present there on site. Then you have to

1031
00:49:57,360 --> 00:50:00,120
Speaker 2: go down like a bit of a deeper rabbit hole here,

1032
00:50:00,360 --> 00:50:04,600
Speaker 2: and this was a fascinating view actually from public local news.

1033
00:50:04,600 --> 00:50:06,520
Speaker 2: This is why we do still need local news, Crystal,

1034
00:50:06,800 --> 00:50:08,800
Speaker 2: because they have great investigations.

1035
00:50:08,920 --> 00:50:09,960
Speaker 3: Let's put this up there.

1036
00:50:10,120 --> 00:50:13,200
Speaker 2: They say, quote, I have never seen anything like this

1037
00:50:13,719 --> 00:50:16,919
Speaker 2: a legal medical lab discovered in Really this is from

1038
00:50:16,960 --> 00:50:20,920
Speaker 2: your Central Valley dot com. What they point to is

1039
00:50:21,239 --> 00:50:24,160
Speaker 2: the city manager actually of the property says that she's

1040
00:50:24,200 --> 00:50:26,640
Speaker 2: never seen this in her twenty six twenty six year

1041
00:50:26,680 --> 00:50:29,920
Speaker 2: career in the County of Fresno. We had eight hundred

1042
00:50:29,920 --> 00:50:32,879
Speaker 2: different types of chemicals and all of that which were

1043
00:50:33,080 --> 00:50:37,680
Speaker 2: on site. But eventually what comes through is that the

1044
00:50:37,800 --> 00:50:41,000
Speaker 2: tenant was a company called Prestige Biotech and this has

1045
00:50:41,040 --> 00:50:44,680
Speaker 2: now since been confirmed that was registered in Nevada but

1046
00:50:44,800 --> 00:50:49,080
Speaker 2: was actually unlicensed for business in California. So the company's

1047
00:50:49,160 --> 00:50:52,360
Speaker 2: president is a Chinese citizen who they were only able

1048
00:50:52,440 --> 00:50:56,040
Speaker 2: to speak with via emails which were actually included in

1049
00:50:56,080 --> 00:51:00,520
Speaker 2: the court documents. And quote other addresses provided as authorized

1050
00:51:00,560 --> 00:51:04,120
Speaker 2: agents for these empty offices were addresses in China that

1051
00:51:04,239 --> 00:51:08,680
Speaker 2: could not then be verified. Also, agents found thousands of

1052
00:51:08,719 --> 00:51:12,680
Speaker 2: package boxes, many with shipping labels from China, which were

1053
00:51:12,719 --> 00:51:16,440
Speaker 2: included in the court documents. Uh so, what was this

1054
00:51:16,560 --> 00:51:20,080
Speaker 2: lab doing in Fresno County, California?

1055
00:51:20,480 --> 00:51:21,319
Speaker 3: What's happening with this?

1056
00:51:21,920 --> 00:51:25,840
Speaker 2: And the craziest part, nobody knows, right, who is this company,

1057
00:51:26,160 --> 00:51:29,239
Speaker 2: who is this Chinese guy? Where are or how did

1058
00:51:29,280 --> 00:51:32,200
Speaker 2: they get a permit for all this stuff? Did it

1059
00:51:32,239 --> 00:51:35,560
Speaker 2: come through legally or illegally in customs? And then what

1060
00:51:35,600 --> 00:51:38,320
Speaker 2: were they studying in this? So this is one of

1061
00:51:38,400 --> 00:51:42,440
Speaker 2: the most bizarre odd things that has happened. You know,

1062
00:51:42,760 --> 00:51:45,920
Speaker 2: there's obviously been a lot of skepticism and allegation and

1063
00:51:46,200 --> 00:51:48,560
Speaker 2: discussion around Wuhan, but you know, at least that one

1064
00:51:48,640 --> 00:51:50,920
Speaker 2: was a level you know, it's the Level four safety

1065
00:51:50,960 --> 00:51:54,319
Speaker 2: bio lab run by the Chinese government. This is some

1066
00:51:54,360 --> 00:51:57,439
Speaker 2: sketchy company in the middle of Fresno doing god knows

1067
00:51:57,480 --> 00:52:01,120
Speaker 2: what with who knows the amount of unregulated chemicals, and

1068
00:52:01,280 --> 00:52:04,280
Speaker 2: the why question has still yet to be answered, despite

1069
00:52:04,520 --> 00:52:06,760
Speaker 2: multiple people in California trying to get to the bottom

1070
00:52:06,760 --> 00:52:08,080
Speaker 2: of the Yeah, from what I could read in the

1071
00:52:08,120 --> 00:52:09,000
Speaker 2: court documents, it's a.

1072
00:52:08,960 --> 00:52:12,560
Speaker 1: Wild story and they authorities just sort of stumbled upon this. Yeah,

1073
00:52:12,719 --> 00:52:15,239
Speaker 1: the city inspector saw a garden hose that was like

1074
00:52:15,280 --> 00:52:16,880
Speaker 1: in a place of garden hose that was supposed to

1075
00:52:16,920 --> 00:52:18,839
Speaker 1: be which I didn't really know that they regulated where

1076
00:52:18,880 --> 00:52:21,480
Speaker 1: garden hoses could be, but apparently they do this.

1077
00:52:21,880 --> 00:52:22,640
Speaker 3: They do billing.

1078
00:52:22,800 --> 00:52:24,680
Speaker 1: They were like, you can have the garden hose there,

1079
00:52:24,760 --> 00:52:27,400
Speaker 1: what else is going on? And then they go into

1080
00:52:27,440 --> 00:52:31,480
Speaker 1: this supposedly empty warehouse building and find all of this

1081
00:52:31,600 --> 00:52:37,480
Speaker 1: crazy stuff they In terms of what the owner of

1082
00:52:37,920 --> 00:52:42,600
Speaker 1: this company, Prestige Biotech, is saying, he told officials that

1083
00:52:42,800 --> 00:52:47,120
Speaker 1: Prestige Biotech moved assets that were that belonged to a

1084
00:52:47,160 --> 00:52:52,480
Speaker 1: defunct company called Universal Meta Tech, Inc. To that warehouse

1085
00:52:52,480 --> 00:52:58,000
Speaker 1: from Fresno after that other company went under. Prestige Biotech

1086
00:52:58,120 --> 00:53:01,319
Speaker 1: was a creditor to that other company and identified as

1087
00:53:01,360 --> 00:53:05,600
Speaker 1: its successor. According to court documents, officials were unable to

1088
00:53:05,600 --> 00:53:08,080
Speaker 1: get any California based address for either company except for

1089
00:53:08,120 --> 00:53:10,839
Speaker 1: the previous resident location from which you m I had

1090
00:53:10,880 --> 00:53:15,560
Speaker 1: been evicted. So basically the story from the owner of

1091
00:53:15,600 --> 00:53:20,719
Speaker 1: this sketchy biotech company is that they had acquired this

1092
00:53:20,800 --> 00:53:25,160
Speaker 1: other defunct biotech company, that these were the assets from

1093
00:53:25,280 --> 00:53:26,440
Speaker 1: that one and they just were.

1094
00:53:26,320 --> 00:53:29,720
Speaker 4: Sort of like storing them there randomly. Is basically the idea.

1095
00:53:29,760 --> 00:53:33,360
Speaker 1: But I mean you think like live mice included in this,

1096
00:53:33,600 --> 00:53:35,880
Speaker 1: I don't know, it's it is a wild one. I

1097
00:53:35,920 --> 00:53:37,799
Speaker 1: have no idea what's going on with this, but it

1098
00:53:37,880 --> 00:53:38,520
Speaker 1: is really weird.

1099
00:53:38,640 --> 00:53:40,839
Speaker 2: Yeah, I mean I think what has kind of come

1100
00:53:41,000 --> 00:53:43,359
Speaker 2: through is that clearly. I mean, the thing is too,

1101
00:53:43,480 --> 00:53:45,680
Speaker 2: is that the pictures like you could see, can we

1102
00:53:45,680 --> 00:53:47,319
Speaker 2: throw the first one up there just so people get

1103
00:53:47,600 --> 00:53:50,120
Speaker 2: an idea? I mean this all I mean, I would

1104
00:53:50,120 --> 00:53:53,239
Speaker 2: have believed if they had told me that it was

1105
00:53:53,360 --> 00:53:55,640
Speaker 2: like a meth lab or some sort of drug lab.

1106
00:53:55,680 --> 00:53:57,919
Speaker 2: As you can see from I mean, it's filthy, there's

1107
00:53:57,960 --> 00:54:01,960
Speaker 2: stuff everywhere. Clearly, it's not clean gloves just hanging out,

1108
00:54:02,000 --> 00:54:03,640
Speaker 2: you know, beakers and all this stuff. I mean, it

1109
00:54:03,719 --> 00:54:06,960
Speaker 2: genuinely does look like it could come out of a

1110
00:54:07,040 --> 00:54:09,399
Speaker 2: drug denner, out of a movie. And yet you find

1111
00:54:09,400 --> 00:54:12,320
Speaker 2: out that we're talking about like viral agents, infectious bacterial

1112
00:54:12,560 --> 00:54:16,640
Speaker 2: filthy mice in conditions. And then you know, the why

1113
00:54:16,760 --> 00:54:19,399
Speaker 2: question is the one that just continues to abound from

1114
00:54:19,400 --> 00:54:22,920
Speaker 2: all of this. So, yeah, like you said, they stumbled

1115
00:54:22,920 --> 00:54:26,360
Speaker 2: across it somehow. I mean, what's really actually kind of

1116
00:54:26,440 --> 00:54:28,480
Speaker 2: terrifying to me is that none of this was flagg

1117
00:54:28,480 --> 00:54:32,080
Speaker 2: through customs because allegedly all of we are supposed to

1118
00:54:32,160 --> 00:54:36,440
Speaker 2: have very stringent regulation on age, you know, chemical agents,

1119
00:54:36,760 --> 00:54:39,480
Speaker 2: viral agents, bacteria and all this stuff that comes into

1120
00:54:39,520 --> 00:54:42,720
Speaker 2: the United States, and it's especially supposed to be.

1121
00:54:42,719 --> 00:54:43,640
Speaker 3: Very high on China.

1122
00:54:43,840 --> 00:54:46,040
Speaker 2: Now, the problem is that China makes the vast majority

1123
00:54:46,040 --> 00:54:47,920
Speaker 2: of inputs for a lot of our drugs, but they

1124
00:54:47,920 --> 00:54:50,560
Speaker 2: do come in via a relatively regulated process. One of

1125
00:54:50,560 --> 00:54:52,520
Speaker 2: the reasons why they we're supposed to look very hard

1126
00:54:52,760 --> 00:54:55,960
Speaker 2: at the unregulated market is a Chinese fentanyl is probably

1127
00:54:56,000 --> 00:54:58,680
Speaker 2: responsible for the vast majority of opioid debts here in

1128
00:54:58,719 --> 00:55:01,000
Speaker 2: the United States. And that's the reason why the drug

1129
00:55:01,000 --> 00:55:04,080
Speaker 2: cartels they don't make those drugs here in America. They

1130
00:55:04,120 --> 00:55:06,719
Speaker 2: make it in Mexico, where the export controls. It's much

1131
00:55:06,719 --> 00:55:09,640
Speaker 2: more corrupt effectively in order to get it into the country.

1132
00:55:09,960 --> 00:55:12,600
Speaker 2: That's the whole point. So then my question is like, well,

1133
00:55:12,640 --> 00:55:14,760
Speaker 2: how the hell did they even get this Well.

1134
00:55:14,600 --> 00:55:17,480
Speaker 1: But we don't necessarily know that it came from that.

1135
00:55:17,520 --> 00:55:18,760
Speaker 1: The materials came from.

1136
00:55:18,640 --> 00:55:21,040
Speaker 2: Too, well, the shipping boxes came from China, so I mean, yeah,

1137
00:55:21,080 --> 00:55:23,080
Speaker 2: you're right, maybe they shipped to Mexico and they drove

1138
00:55:23,080 --> 00:55:23,800
Speaker 2: it across the border.

1139
00:55:23,800 --> 00:55:25,840
Speaker 1: I mean, we've generated we have no idea where this

1140
00:55:25,840 --> 00:55:28,640
Speaker 1: stuff was acquired from whatsoever. I mean, that could be

1141
00:55:28,719 --> 00:55:31,239
Speaker 1: too that it was shipped. We just don't know. And

1142
00:55:31,360 --> 00:55:34,040
Speaker 1: the thing to me that doesn't pass the sniff test

1143
00:55:34,080 --> 00:55:37,440
Speaker 1: about the story that this was. You know, they're basically

1144
00:55:37,480 --> 00:55:40,759
Speaker 1: just storing this stuff here after this other company went

1145
00:55:40,800 --> 00:55:43,480
Speaker 1: to funked or whatever. When you look at those pictures,

1146
00:55:43,520 --> 00:55:46,160
Speaker 1: I mean, this isn't just like things in storage boxes.

1147
00:55:46,360 --> 00:55:48,000
Speaker 4: You've got a whole lab set up there.

1148
00:55:48,000 --> 00:55:50,440
Speaker 1: You got the gloves there, you've got things and beakers,

1149
00:55:50,480 --> 00:55:52,520
Speaker 1: you've got stuff that's on the table. I don't know,

1150
00:55:52,600 --> 00:55:54,399
Speaker 1: it doesn't look like you were just like, oh, let

1151
00:55:54,400 --> 00:55:57,160
Speaker 1: me put it in storage and then I don't know,

1152
00:55:57,320 --> 00:55:59,160
Speaker 1: dispose of it somehow do something with it.

1153
00:55:59,160 --> 00:55:59,879
Speaker 4: It's a weird one.

1154
00:56:00,239 --> 00:56:03,759
Speaker 2: Also, the you know, creating front companies and all that

1155
00:56:03,880 --> 00:56:07,040
Speaker 2: in order to justify legal export import. That's a time

1156
00:56:07,200 --> 00:56:09,879
Speaker 2: honored kind of Chinese tradition for you know, I've read,

1157
00:56:09,920 --> 00:56:12,279
Speaker 2: I've read and done some dives into Chinese men in

1158
00:56:12,320 --> 00:56:12,720
Speaker 2: all business.

1159
00:56:12,760 --> 00:56:14,160
Speaker 3: It's almost exactly the same in.

1160
00:56:14,160 --> 00:56:16,080
Speaker 2: Terms of like, oh, you have a defunct company a

1161
00:56:16,160 --> 00:56:18,640
Speaker 2: fake address in China. In terms whenever you're trying to,

1162
00:56:18,840 --> 00:56:20,600
Speaker 2: you know, trace it back and be like where did

1163
00:56:20,640 --> 00:56:21,040
Speaker 2: this company.

1164
00:56:21,040 --> 00:56:24,480
Speaker 1: It's not a Chinese specific phenomenon. That's what sketchy businessmen

1165
00:56:24,600 --> 00:56:26,759
Speaker 1: do all around the world, including here in the good

1166
00:56:26,760 --> 00:56:27,480
Speaker 1: old US of A.

1167
00:56:28,600 --> 00:56:30,440
Speaker 2: Maybe they probably stole it from They probably stole the

1168
00:56:30,480 --> 00:56:32,960
Speaker 2: tactic from us. So you know, don't don't let anyone

1169
00:56:32,960 --> 00:56:35,120
Speaker 2: say that they didn't steal the best. Uh, let's go

1170
00:56:35,200 --> 00:56:37,600
Speaker 2: to the next part here. Crystal being very gracious in

1171
00:56:37,640 --> 00:56:42,080
Speaker 2: allowing me to give everyone an update on the UFO phenomenon,

1172
00:56:42,320 --> 00:56:45,040
Speaker 2: So we updated everybody about the hearing about what happened.

1173
00:56:45,120 --> 00:56:48,040
Speaker 2: Dave Grush came forward and make some extraordinary allegations Chrystal.

1174
00:56:48,080 --> 00:56:50,000
Speaker 2: One of the things that you asked me was what

1175
00:56:50,000 --> 00:56:51,319
Speaker 2: do you think of all this? Like, what what are

1176
00:56:51,320 --> 00:56:53,000
Speaker 2: we to make of all this? Yeah, And what I

1177
00:56:53,040 --> 00:56:56,640
Speaker 2: said is it's important, uh, for to get this on

1178
00:56:56,680 --> 00:56:59,480
Speaker 2: the record and to create a binary. I think creating

1179
00:56:59,480 --> 00:57:02,080
Speaker 2: the binary the most important thing. Is it true or

1180
00:57:02,120 --> 00:57:04,279
Speaker 2: is it not true? He's entered this under oath in

1181
00:57:04,320 --> 00:57:07,520
Speaker 2: the congressional record. We also have a previous director of

1182
00:57:07,600 --> 00:57:11,600
Speaker 2: the program, the ARROW program, coming forward and saying there's

1183
00:57:11,640 --> 00:57:14,440
Speaker 2: no evidence of extraterrestrials, there's no evidence of any of

1184
00:57:14,440 --> 00:57:16,560
Speaker 2: these hidden craft retrieval sides, any of the stuff that

1185
00:57:16,600 --> 00:57:19,520
Speaker 2: Dave Grush has alleged before. Just to give people a

1186
00:57:19,560 --> 00:57:22,560
Speaker 2: flashback to that, that was doctor Sean Kirkpatrick, who is

1187
00:57:22,600 --> 00:57:24,520
Speaker 2: directly at odds now with Grush's testimony.

1188
00:57:24,640 --> 00:57:26,760
Speaker 3: Here's what he said a couple of months ago before

1189
00:57:26,880 --> 00:57:27,520
Speaker 3: to Congress.

1190
00:57:27,800 --> 00:57:30,080
Speaker 9: I should also state clearly for the record that in

1191
00:57:30,160 --> 00:57:33,680
Speaker 9: our research, ARROW has found no credible evidence thus far

1192
00:57:33,880 --> 00:57:38,240
Speaker 9: of extraterrestrial activity off world technology or objects that defy

1193
00:57:38,760 --> 00:57:42,640
Speaker 9: the known laws of physics. In the event sufficient scientific

1194
00:57:42,760 --> 00:57:46,760
Speaker 9: data wherever attained that a UAP encountered can only be

1195
00:57:46,840 --> 00:57:50,600
Speaker 9: explained by extraterrestrial origin. We are committed to working with

1196
00:57:50,680 --> 00:57:54,960
Speaker 9: our interagency partners at NASA to appropriately inform US government's

1197
00:57:55,040 --> 00:57:56,360
Speaker 9: leadership of its findings.

1198
00:57:56,560 --> 00:57:57,160
Speaker 3: So Crystal.

1199
00:57:57,600 --> 00:58:01,000
Speaker 2: After Dave Grush caave testimony at that hearing which directly

1200
00:58:01,000 --> 00:58:03,280
Speaker 2: contradicted what he said and which he said that Grush

1201
00:58:03,280 --> 00:58:06,320
Speaker 2: also said that he had brought forward these allegations to Kirkpatrick,

1202
00:58:06,640 --> 00:58:10,160
Speaker 2: a very odd letter began to circulate. It appears that

1203
00:58:10,240 --> 00:58:17,000
Speaker 2: Kirkpatrick circumvented Pentagons the pentagons like official framework for releasing statements,

1204
00:58:17,440 --> 00:58:20,400
Speaker 2: and released a statement of his own accord on his

1205
00:58:20,480 --> 00:58:23,680
Speaker 2: LinkedIn page respond very odd. This does not happen in

1206
00:58:23,680 --> 00:58:25,800
Speaker 2: the government, and does not happen in the Department of Defense,

1207
00:58:25,840 --> 00:58:28,160
Speaker 2: of which I used to cover. I've never seen anything

1208
00:58:28,240 --> 00:58:31,479
Speaker 2: like this in my entire career. So here's the letter

1209
00:58:31,520 --> 00:58:34,400
Speaker 2: that he put out. Again, he is saying quote, they'd

1210
00:58:34,400 --> 00:58:37,720
Speaker 2: either his personal observations and opinions and do not represent

1211
00:58:37,960 --> 00:58:41,920
Speaker 2: the DoD or the IC positions, IC being the intelligence community.

1212
00:58:42,280 --> 00:58:45,080
Speaker 2: Long letter here effectively saying that he's very proud of

1213
00:58:45,120 --> 00:58:48,640
Speaker 2: his team, and he says, quote, I cannot let yesterday's

1214
00:58:48,640 --> 00:58:50,400
Speaker 2: hearing pass without sharing.

1215
00:58:50,160 --> 00:58:51,280
Speaker 3: How insulting it was.

1216
00:58:51,320 --> 00:58:53,720
Speaker 2: To the officers of the Department of Defense an intelligence

1217
00:58:53,720 --> 00:58:58,360
Speaker 2: committee who chose to join ARROW many not unreasonable anxieties

1218
00:58:58,360 --> 00:59:01,600
Speaker 2: about the careerists that this would entail. So he specifically

1219
00:59:01,720 --> 00:59:04,720
Speaker 2: in this letter calls Grush a liar. He says, contrary

1220
00:59:04,800 --> 00:59:07,800
Speaker 2: to assertions made in hearing, the central source of those

1221
00:59:07,800 --> 00:59:12,560
Speaker 2: allegations has refused to speak with ARROW. Furthermore, some information

1222
00:59:12,840 --> 00:59:16,560
Speaker 2: were purportedly provided to Congress has not been provided to ARROW,

1223
00:59:16,880 --> 00:59:20,240
Speaker 2: raising additional questions about the true commitment to transparency by

1224
00:59:20,320 --> 00:59:23,640
Speaker 2: some Congressional elements. So I'm going to zero in on

1225
00:59:23,720 --> 00:59:26,040
Speaker 2: that and kind of let all of the other stuff go,

1226
00:59:26,320 --> 00:59:29,880
Speaker 2: because the important thing that has comed out from here

1227
00:59:30,320 --> 00:59:35,440
Speaker 2: is he is claiming very matter of factly, not necessarily

1228
00:59:35,480 --> 00:59:39,439
Speaker 2: under oath, remember that, and also not through the official meeting,

1229
00:59:39,480 --> 00:59:40,760
Speaker 2: so through the official process.

1230
00:59:40,800 --> 00:59:41,840
Speaker 3: So I don't really know what to.

1231
00:59:41,760 --> 00:59:45,280
Speaker 2: Make of it, but he effectively is saying Dave Grush

1232
00:59:45,360 --> 00:59:48,520
Speaker 2: is lying. Because Grush said at the hearing that he

1233
00:59:48,600 --> 00:59:52,240
Speaker 2: had provided materials, evidence and all of that to the program,

1234
00:59:52,240 --> 00:59:54,800
Speaker 2: to the ARROW program that was reviewing the past record

1235
00:59:55,040 --> 00:59:58,600
Speaker 2: of UFO knowledge files and all that stuff, and that

1236
00:59:58,680 --> 01:00:02,240
Speaker 2: the reason he became a whistleblower is because it was

1237
01:00:02,240 --> 01:00:04,120
Speaker 2: not taken seriously and that it was buried.

1238
01:00:04,480 --> 01:00:07,520
Speaker 3: So we're basically we're in.

1239
01:00:07,800 --> 01:00:11,000
Speaker 2: Now an almost total like yes or no question, Like

1240
01:00:11,200 --> 01:00:13,720
Speaker 2: one of these people is lying and lied to Congress.

1241
01:00:13,920 --> 01:00:15,480
Speaker 4: What did you make of this part?

1242
01:00:15,600 --> 01:00:18,520
Speaker 1: At the very end, he says in this statement on

1243
01:00:18,560 --> 01:00:21,000
Speaker 1: his LinkedIn Also, to be clear, none of the whistleblowers

1244
01:00:21,040 --> 01:00:23,600
Speaker 1: from yesterday's hearing ever worked for Arrow or was ever

1245
01:00:23,680 --> 01:00:27,160
Speaker 1: a representative to Arrow, contrary to statements made in testimony

1246
01:00:27,200 --> 01:00:30,720
Speaker 1: and in the media. So he's also, am I right

1247
01:00:30,760 --> 01:00:33,560
Speaker 1: asserting that Grush is even lying about what positions he held.

1248
01:00:33,760 --> 01:00:36,240
Speaker 2: From what I read, there are some technicalities in terms

1249
01:00:36,240 --> 01:00:40,000
Speaker 2: of the way that Grush described his attachment to the program.

1250
01:00:40,040 --> 01:00:40,800
Speaker 3: Not necessarily we.

1251
01:00:40,760 --> 01:00:43,240
Speaker 1: Didn't like director the program, So they're using some sort

1252
01:00:43,280 --> 01:00:44,520
Speaker 1: of legalistic language here.

1253
01:00:44,600 --> 01:00:45,720
Speaker 3: There's two ways to read it, you know.

1254
01:00:45,960 --> 01:00:48,080
Speaker 2: And again this is not a vetted statement by the Pentagon,

1255
01:00:48,480 --> 01:00:50,560
Speaker 2: you know, it's not officially. This is just him something

1256
01:00:50,560 --> 01:00:52,840
Speaker 2: that he put out on his LinkedIn page. But he's

1257
01:00:52,880 --> 01:00:55,360
Speaker 2: basically saying, I don't know this guy. He never brought

1258
01:00:55,360 --> 01:00:57,520
Speaker 2: any this stuff forward. He's a liar, he never made

1259
01:00:57,560 --> 01:00:59,680
Speaker 2: any of the clearity, didn't even work for me. I mean,

1260
01:00:59,720 --> 01:01:02,280
Speaker 2: each one of those is extraordinary in itself. I mean,

1261
01:01:02,280 --> 01:01:05,240
Speaker 2: he's effectively the only place where he's not given himself

1262
01:01:05,240 --> 01:01:07,680
Speaker 2: out is saying that he was never shared those materials.

1263
01:01:07,920 --> 01:01:10,840
Speaker 2: Because now it's straight up like did Grush lie or not?

1264
01:01:11,360 --> 01:01:13,600
Speaker 2: And listen, we really have no way of knowing. This

1265
01:01:13,640 --> 01:01:16,640
Speaker 2: is why it's so difficult actually to look at these

1266
01:01:16,640 --> 01:01:19,200
Speaker 2: two things, because remember that the Grush report.

1267
01:01:19,240 --> 01:01:20,600
Speaker 3: I mean, it's not like he just came forward to

1268
01:01:20,600 --> 01:01:21,400
Speaker 3: the New York Times.

1269
01:01:21,520 --> 01:01:25,320
Speaker 2: He went through the internal whistleblower process in the Department

1270
01:01:25,360 --> 01:01:28,520
Speaker 2: of Defense, which the Inspector General of the Intelligence Community

1271
01:01:28,720 --> 01:01:32,280
Speaker 2: said that they found credible and urgent and bearing investigation.

1272
01:01:32,600 --> 01:01:36,320
Speaker 2: So it was vetted at the very least in some way,

1273
01:01:36,560 --> 01:01:38,920
Speaker 2: you know, at least from what we're seeing, much of

1274
01:01:38,960 --> 01:01:41,360
Speaker 2: what he said even at the hearing was set in

1275
01:01:41,400 --> 01:01:45,320
Speaker 2: an unclassified setting, of which has been cleared by the Department,

1276
01:01:45,360 --> 01:01:47,919
Speaker 2: but of which has not been restricted from saying out

1277
01:01:48,240 --> 01:01:51,520
Speaker 2: in the open. He says that he provided, you know,

1278
01:01:51,720 --> 01:01:57,120
Speaker 2: all of these materials to Congress for investigation into the

1279
01:01:57,160 --> 01:02:00,560
Speaker 2: specific allegations about these programs and all of us. So

1280
01:02:00,880 --> 01:02:03,400
Speaker 2: I mean, I'm I'm like, even though I thought that

1281
01:02:03,440 --> 01:02:06,120
Speaker 2: this was an incredibly bizarre event. I'm happy that it

1282
01:02:06,200 --> 01:02:09,960
Speaker 2: happened because and you know, it probably sucks for Grush

1283
01:02:10,000 --> 01:02:11,400
Speaker 2: and many of these other people to be called liar

1284
01:02:12,200 --> 01:02:15,280
Speaker 2: is because now we actually really have to find out

1285
01:02:15,280 --> 01:02:18,520
Speaker 2: because you know, he Kirkpatrick had given himself some outs

1286
01:02:18,520 --> 01:02:20,240
Speaker 2: in the past. He said, oh, we don't have any evidence.

1287
01:02:20,440 --> 01:02:20,560
Speaker 3: All.

1288
01:02:20,560 --> 01:02:22,120
Speaker 2: This is a lot of different ways that you could

1289
01:02:22,120 --> 01:02:24,240
Speaker 2: spend that you know, whether he lied to Congress or not,

1290
01:02:24,360 --> 01:02:26,640
Speaker 2: but this one is such a direct and a personal

1291
01:02:26,680 --> 01:02:30,400
Speaker 2: statement saying he's a liar. And let's put this Daily

1292
01:02:30,400 --> 01:02:33,200
Speaker 2: Mail piece up on the screen. Because this included also

1293
01:02:33,600 --> 01:02:38,200
Speaker 2: quotes from very confused members of Congress who actually saw it. So,

1294
01:02:38,360 --> 01:02:41,400
Speaker 2: for example, Anna Paulina Luna, who is one of the

1295
01:02:41,720 --> 01:02:45,479
Speaker 2: congresswomen who has been really at the side of Tim

1296
01:02:45,480 --> 01:02:49,320
Speaker 2: Burchett on all of this, here's what she said. She said,

1297
01:02:49,360 --> 01:02:52,080
Speaker 2: it's crazy to me that they would try to discredit them.

1298
01:02:52,320 --> 01:02:54,800
Speaker 2: The fact that Kirkpatrick just tried to discredit Also the

1299
01:02:54,840 --> 01:02:58,200
Speaker 2: other two witnesses that were legitimate pilots for the military

1300
01:02:58,400 --> 01:03:00,680
Speaker 2: that had the gimbal and the tic TAC video we're

1301
01:03:00,680 --> 01:03:03,320
Speaker 2: confirmed by DoD is exact reason why I think people

1302
01:03:03,360 --> 01:03:06,240
Speaker 2: don't trust Arrow. The evidence was brought forward by multiple

1303
01:03:06,320 --> 01:03:09,120
Speaker 2: veterans who had confirmed the video footage of the tiktak

1304
01:03:09,160 --> 01:03:11,920
Speaker 2: and the gimbal of advanced technologies that does exist. The

1305
01:03:12,000 --> 01:03:15,520
Speaker 2: DD even admitted it, like what are you talking about that? Actually,

1306
01:03:15,760 --> 01:03:17,840
Speaker 2: you know, highlights what you said, you know, the very

1307
01:03:17,840 --> 01:03:20,160
Speaker 2: odd part at the end whenever he's like, well, none

1308
01:03:20,160 --> 01:03:22,520
Speaker 2: of these three witnesses worked for us, and it's like, well,

1309
01:03:22,600 --> 01:03:24,760
Speaker 2: let's put Grush aside. The other two never claimed to

1310
01:03:24,800 --> 01:03:27,080
Speaker 2: ever work for the program. They were just like, yeah,

1311
01:03:27,120 --> 01:03:30,560
Speaker 2: I flew planes and I had a UFO encounter.

1312
01:03:30,720 --> 01:03:33,040
Speaker 4: Yeah, So this was very much aimed at Grush.

1313
01:03:33,080 --> 01:03:36,120
Speaker 2: This was absolutely aimed at Grush, Which was why I

1314
01:03:36,120 --> 01:03:38,720
Speaker 2: thought it was bizarre that he also tried to kind

1315
01:03:38,760 --> 01:03:41,800
Speaker 2: of take umbrage at Fravor and at graves testimony. Who

1316
01:03:42,000 --> 01:03:45,000
Speaker 2: I mean, they didn't even really say anything about Arrow anyway.

1317
01:03:45,080 --> 01:03:46,800
Speaker 2: The reason why I wanted to highlight it is just

1318
01:03:46,840 --> 01:03:50,320
Speaker 2: that clearly we are in a situation now where one

1319
01:03:50,320 --> 01:03:52,720
Speaker 2: of these individuals is telling the truth, and it's actually,

1320
01:03:52,760 --> 01:03:55,440
Speaker 2: frankly should be easier now at this point to figure

1321
01:03:55,480 --> 01:03:58,680
Speaker 2: it out. And I implore these members of Congress, like,

1322
01:03:58,880 --> 01:04:01,880
Speaker 2: please find out and update us in a very you know,

1323
01:04:02,040 --> 01:04:05,560
Speaker 2: speedy manner, because enough, you know, public interest has been

1324
01:04:05,560 --> 01:04:08,400
Speaker 2: given now to the non human biologics, to the you know,

1325
01:04:08,440 --> 01:04:12,440
Speaker 2: the all of the just incredible allegations made by Grush.

1326
01:04:12,640 --> 01:04:14,840
Speaker 2: But we have enough now to where he at the

1327
01:04:14,960 --> 01:04:16,400
Speaker 2: very least, like he said it under oath, that he's

1328
01:04:16,400 --> 01:04:19,360
Speaker 2: provided materials to them. And we've also got some documents

1329
01:04:19,400 --> 01:04:22,000
Speaker 2: that are provided by George Knapp, which makes some really

1330
01:04:22,040 --> 01:04:25,840
Speaker 2: crazy allegations that were entered into the congressional record. It's like,

1331
01:04:26,160 --> 01:04:29,040
Speaker 2: look investigated and just tell if it's true or not true.

1332
01:04:29,120 --> 01:04:31,080
Speaker 1: I mean, it's going to be very difficult to get

1333
01:04:31,120 --> 01:04:34,000
Speaker 1: any kind of answers about some of the extraordinary claims

1334
01:04:34,000 --> 01:04:36,200
Speaker 1: that were made in testimony. But some of the stuff

1335
01:04:36,240 --> 01:04:40,400
Speaker 1: that is laid down in this personal statement seems more provable.

1336
01:04:40,560 --> 01:04:44,040
Speaker 1: Exactly did he actually provide the material that he said

1337
01:04:44,040 --> 01:04:46,240
Speaker 1: he did or not, Like that seems like something we

1338
01:04:46,280 --> 01:04:49,320
Speaker 1: could potentially get to the bottom of, you know, what

1339
01:04:49,480 --> 01:04:52,160
Speaker 1: is the reality of who we work for and whether

1340
01:04:52,280 --> 01:04:55,800
Speaker 1: he technically worked for Arrow or not. And while those

1341
01:04:55,800 --> 01:04:59,120
Speaker 1: things don't provide us conclusive evidence of you know, what's

1342
01:04:59,160 --> 01:05:01,920
Speaker 1: going on with these they do provide you with a

1343
01:05:01,960 --> 01:05:05,840
Speaker 1: little bit of information about the credibility of these various No.

1344
01:05:05,880 --> 01:05:07,120
Speaker 3: I think that's incredibly well said.

1345
01:05:07,360 --> 01:05:09,919
Speaker 2: That gives us, This gives us actually quite a lot

1346
01:05:10,160 --> 01:05:12,480
Speaker 2: more to work with. And bizarrely enough, I found it

1347
01:05:12,560 --> 01:05:15,600
Speaker 2: ignored by the media just because as a headline itself,

1348
01:05:15,640 --> 01:05:18,920
Speaker 2: it's like UFO whistleblower called liar by head of the

1349
01:05:18,960 --> 01:05:21,720
Speaker 2: Pentagon program. I mean, that's extraordinary to me. And then

1350
01:05:21,960 --> 01:05:25,400
Speaker 2: not again, not done through the official Dood process. So

1351
01:05:25,520 --> 01:05:27,840
Speaker 2: that's the breakdown from the best of what I've been

1352
01:05:27,880 --> 01:05:31,040
Speaker 2: able to gather on it covering this topic. You know,

1353
01:05:31,160 --> 01:05:34,360
Speaker 2: things always just seem nothing I guess, is ever done

1354
01:05:34,400 --> 01:05:39,120
Speaker 2: in the ordinary fashion. Crystal, what are you taking a

1355
01:05:39,120 --> 01:05:39,480
Speaker 2: look at?

1356
01:05:39,560 --> 01:05:43,200
Speaker 1: Whatever you think of Barbenheimer, the explosion of cultural fascination

1357
01:05:43,320 --> 01:05:46,000
Speaker 1: with both films is basically a testament to our love

1358
01:05:46,000 --> 01:05:49,720
Speaker 1: affair with human creativity. For once, studios took a risk

1359
01:05:49,760 --> 01:05:51,520
Speaker 1: on a few things that were truly new and different,

1360
01:05:51,760 --> 01:05:54,720
Speaker 1: and they were rewarded with massive audiences and a flood

1361
01:05:54,720 --> 01:05:58,200
Speaker 1: of national discourse that has briefly recreated a monocultural event

1362
01:05:58,520 --> 01:06:00,440
Speaker 1: the likes of which I really thought we might never

1363
01:06:00,480 --> 01:06:04,480
Speaker 1: see again. Ironically, this moment of delight in human imagination

1364
01:06:04,840 --> 01:06:07,560
Speaker 1: comes at a time when the very essence of creativity

1365
01:06:07,720 --> 01:06:11,160
Speaker 1: is actually under threat. Big tech, in order to monopolize

1366
01:06:11,160 --> 01:06:13,520
Speaker 1: the new world of AI, is attempting to feed their

1367
01:06:13,520 --> 01:06:17,160
Speaker 1: models with the whole world of human ingenuity, scraping every

1368
01:06:17,200 --> 01:06:20,760
Speaker 1: bit of language, articulated vision, and novel innovation that they

1369
01:06:20,760 --> 01:06:22,880
Speaker 1: can get their hands on so that their machines might

1370
01:06:22,880 --> 01:06:26,920
Speaker 1: impersonate a bastardized version of the human spark. These so

1371
01:06:27,040 --> 01:06:30,440
Speaker 1: called large language models can't create anything new, but by

1372
01:06:30,480 --> 01:06:34,240
Speaker 1: harvesting our musings, our pictures, our conversations, our stories, companies

1373
01:06:34,240 --> 01:06:36,440
Speaker 1: are hoping that the bots can be trained to mimic

1374
01:06:36,520 --> 01:06:37,840
Speaker 1: us well enough.

1375
01:06:37,920 --> 01:06:40,560
Speaker 4: That we will accept their AI derived products.

1376
01:06:40,920 --> 01:06:43,320
Speaker 1: Basically, they're trying to eat our souls and then sell

1377
01:06:43,360 --> 01:06:46,160
Speaker 1: them back to us. But increasingly artists and creatives are

1378
01:06:46,200 --> 01:06:48,320
Speaker 1: refusing to be food for bots.

1379
01:06:47,960 --> 01:06:49,120
Speaker 4: That would replace them.

1380
01:06:49,400 --> 01:06:52,000
Speaker 1: Part of this resistance, of course, is located in Hollywood,

1381
01:06:52,000 --> 01:06:54,200
Speaker 1: where rules around AI use are at the center of

1382
01:06:54,240 --> 01:06:56,960
Speaker 1: the actors and Writers' strike. Studios want to be able

1383
01:06:57,040 --> 01:07:00,600
Speaker 1: to scan actors and use their likeness forever for whatever

1384
01:07:00,640 --> 01:07:04,280
Speaker 1: they want, obliterating the livelihoods of many actors, including extras

1385
01:07:04,600 --> 01:07:07,040
Speaker 1: Studios also want to be able to use AI to

1386
01:07:07,120 --> 01:07:10,640
Speaker 1: write first drafts of new shows and films, bringing writers

1387
01:07:10,680 --> 01:07:12,720
Speaker 1: in at the end just to polish.

1388
01:07:12,440 --> 01:07:14,160
Speaker 4: Those scripts at a lower pay rate.

1389
01:07:14,640 --> 01:07:17,160
Speaker 1: Both of these things, of course, are assaults on workers pay,

1390
01:07:17,280 --> 01:07:19,760
Speaker 1: and that is really crucial. But they're also an assault

1391
01:07:19,800 --> 01:07:22,800
Speaker 1: on the very essence of human creativity. Instead of a

1392
01:07:22,880 --> 01:07:26,320
Speaker 1: human vision board of whatever collection of experiences brought that

1393
01:07:26,360 --> 01:07:29,840
Speaker 1: particular person to that particular moment, studios want to use

1394
01:07:29,880 --> 01:07:33,680
Speaker 1: AI to barf up a regurgitated amalgamation of the creativity

1395
01:07:33,760 --> 01:07:36,920
Speaker 1: that it has pilfered from humanity. A pure embodiment of

1396
01:07:36,920 --> 01:07:39,880
Speaker 1: this struggle is coming from an unexpected place, the world

1397
01:07:39,920 --> 01:07:43,600
Speaker 1: of fan fiction writers. Now, these authors delight in expanding

1398
01:07:43,600 --> 01:07:44,480
Speaker 1: the universes of.

1399
01:07:44,440 --> 01:07:46,320
Speaker 4: Their favorite shows, books, characters.

1400
01:07:46,520 --> 01:07:49,600
Speaker 1: They take inspiration from another human spark and let their

1401
01:07:49,640 --> 01:07:53,760
Speaker 1: own imaginations run wild. They create communities around these expanded visions.

1402
01:07:54,040 --> 01:07:57,480
Speaker 1: They author stories primarily for the sheer joy of creativity,

1403
01:07:57,520 --> 01:08:00,760
Speaker 1: since copyright laws keep them from directly monetiged their work,

1404
01:08:01,160 --> 01:08:04,760
Speaker 1: and many were horrified to see their works scraped and

1405
01:08:04,920 --> 01:08:08,000
Speaker 1: ingested by AI. And the way these authors figured out

1406
01:08:08,040 --> 01:08:09,760
Speaker 1: their work had been fed to the machines. It's actually

1407
01:08:09,800 --> 01:08:12,000
Speaker 1: kind of interesting in and of itself. One of the

1408
01:08:12,000 --> 01:08:15,720
Speaker 1: bots exhibited detailed knowledge of something called the omegaverse, which

1409
01:08:15,760 --> 01:08:18,880
Speaker 1: is apparently a specific sexual dynamic that only exists in

1410
01:08:18,920 --> 01:08:19,760
Speaker 1: the fan fiction world.

1411
01:08:19,800 --> 01:08:21,040
Speaker 4: That's all I really know about it.

1412
01:08:21,360 --> 01:08:23,280
Speaker 1: There was no way the bots could have known about

1413
01:08:23,280 --> 01:08:25,320
Speaker 1: the omega Verse if they had not been trained on

1414
01:08:25,479 --> 01:08:29,320
Speaker 1: reams of fan fiction. Rather than accepting this unauthorized pilfering

1415
01:08:29,320 --> 01:08:32,800
Speaker 1: of their labors of love, fan fiction writers state a revolt.

1416
01:08:32,840 --> 01:08:35,559
Speaker 1: Some decided they would no longer post their stories publicly,

1417
01:08:35,600 --> 01:08:38,559
Speaker 1: and instead sending to private lists or taking other steps

1418
01:08:38,600 --> 01:08:41,120
Speaker 1: to keep their work private and walled off from the machines.

1419
01:08:41,520 --> 01:08:44,479
Speaker 1: They've also been pushing popular fan fiction sites to ban

1420
01:08:44,640 --> 01:08:48,640
Speaker 1: AI generated content. A number also mounted a unique protest

1421
01:08:48,680 --> 01:08:52,280
Speaker 1: of small scale sabotage. Authors banded together for a ritathon

1422
01:08:52,360 --> 01:08:55,000
Speaker 1: in which they attempted to produce as much garbage fanfic

1423
01:08:55,040 --> 01:08:57,879
Speaker 1: as they possibly could in an attempt to confuse the machines.

1424
01:08:58,120 --> 01:09:01,280
Speaker 1: Actually love the ingenuity of this approach. Creative community using

1425
01:09:01,320 --> 01:09:04,360
Speaker 1: creative misshift to mess with the bots. It's quite beautiful, actually.

1426
01:09:04,880 --> 01:09:07,759
Speaker 1: More mainstream artists are also mounting resistance of their own

1427
01:09:08,000 --> 01:09:12,000
Speaker 1: using the legal system and demands for payment. Thousands of authors,

1428
01:09:12,040 --> 01:09:15,559
Speaker 1: including James Patterson, sign an open letter demanding permission and

1429
01:09:15,600 --> 01:09:18,839
Speaker 1: compensation for the use of their work. Comedian Sarah Silverman

1430
01:09:18,880 --> 01:09:20,880
Speaker 1: is among a growing number of creatives who have filed

1431
01:09:20,960 --> 01:09:24,160
Speaker 1: lawsuits against big tech companies for the unauthorized use of

1432
01:09:24,200 --> 01:09:27,320
Speaker 1: their work to train AI models. The news industry has

1433
01:09:27,360 --> 01:09:29,879
Speaker 1: also been fighting to get paid for use of their archives,

1434
01:09:29,920 --> 01:09:31,720
Speaker 1: and the AP has actually reached some sort of a

1435
01:09:31,760 --> 01:09:35,000
Speaker 1: deal with open AI to license their news content. Well,

1436
01:09:35,000 --> 01:09:37,080
Speaker 1: I can imagine the big boys, like The New York Times,

1437
01:09:37,160 --> 01:09:39,880
Speaker 1: let's say, cutting deals with AI companies. Who's going to

1438
01:09:39,880 --> 01:09:42,840
Speaker 1: look out for the product of smaller scale creators, Because

1439
01:09:42,840 --> 01:09:45,519
Speaker 1: while you may not see yourself as a creator, to

1440
01:09:45,600 --> 01:09:48,920
Speaker 1: be human is to create, to tell stories, to share thoughts,

1441
01:09:48,960 --> 01:09:52,160
Speaker 1: to build, to find delight in sparks of inspiration. AI

1442
01:09:52,240 --> 01:09:55,080
Speaker 1: will never be able to actually do these things. But

1443
01:09:55,120 --> 01:09:57,639
Speaker 1: I think the attempt to vacuum up as much human

1444
01:09:57,680 --> 01:10:00,400
Speaker 1: creative content as possible, from works of art to Facebook

1445
01:10:00,479 --> 01:10:04,040
Speaker 1: musing should be properly seen as an existential threat. The

1446
01:10:04,080 --> 01:10:07,440
Speaker 1: goal of these tech oligarchs is to make AIS regurgitated

1447
01:10:07,479 --> 01:10:11,360
Speaker 1: derivative products good enough that these products come to dominate

1448
01:10:11,360 --> 01:10:15,520
Speaker 1: the cultural landscape and certainly the marketplace, devaluing human creativity

1449
01:10:15,880 --> 01:10:19,640
Speaker 1: and squeezing it down into increasingly cramped corners of our society.

1450
01:10:20,160 --> 01:10:23,240
Speaker 1: Technology which was supposed to bring the marvel of human

1451
01:10:23,240 --> 01:10:27,080
Speaker 1: creativity to global audiences instead being used to quash human

1452
01:10:27,120 --> 01:10:30,439
Speaker 1: creativity centrality to our own society. It's not that the

1453
01:10:30,520 --> 01:10:33,000
Speaker 1: drive to create will be extinguished, of course, not. If

1454
01:10:33,000 --> 01:10:35,400
Speaker 1: you can make a living from artistic expression, then the

1455
01:10:35,479 --> 01:10:38,040
Speaker 1: day job is certainly going to take precedence if AI

1456
01:10:38,160 --> 01:10:40,759
Speaker 1: is creating our music and our movies because it's cheaper

1457
01:10:40,800 --> 01:10:44,120
Speaker 1: than paying real human beings, or basically marking an endpoint

1458
01:10:44,240 --> 01:10:46,920
Speaker 1: for the advance of human creativity on a national or

1459
01:10:46,960 --> 01:10:51,280
Speaker 1: international scale, because AI cannot create anything new, only recycle

1460
01:10:51,360 --> 01:10:54,160
Speaker 1: the old, leaving us in an endless cultural loop living

1461
01:10:54,160 --> 01:10:57,640
Speaker 1: off the scraps of recombined Friends episodes and Star Wars spinoffs.

1462
01:10:58,080 --> 01:11:00,840
Speaker 1: Tech Giant's vacuuming up every quean and labor of love,

1463
01:11:01,000 --> 01:11:04,080
Speaker 1: flight of fancy creative spark, and lots of driveling and

1464
01:11:04,439 --> 01:11:08,160
Speaker 1: drivell and mundane meanderings, besides all to train AI models

1465
01:11:08,240 --> 01:11:10,200
Speaker 1: to serve their own profit making purposes.

1466
01:11:10,240 --> 01:11:11,719
Speaker 4: I mean, guys, what could go wrong here?

1467
01:11:12,080 --> 01:11:14,360
Speaker 1: In other words, you might have liked Barbie, but are

1468
01:11:14,439 --> 01:11:15,880
Speaker 1: you really going to like Barbie five?

1469
01:11:16,160 --> 01:11:17,320
Speaker 4: Brought to you by the bots?

1470
01:11:17,600 --> 01:11:20,320
Speaker 1: Perhaps better to reflect on Oppenheimer, where we track how

1471
01:11:20,400 --> 01:11:24,040
Speaker 1: humanity invents the tools of our own destruction. And Sager,

1472
01:11:24,200 --> 01:11:26,360
Speaker 1: you know it really got to me the fan things.

1473
01:11:26,439 --> 01:11:29,200
Speaker 2: And if you want to hear my reaction to Crystal's monologue,

1474
01:11:29,200 --> 01:11:34,800
Speaker 2: become a premium subscriber today at Breakingpoints dot com.

1475
01:11:34,840 --> 01:11:36,000
Speaker 4: All right, Sager, what are you looking at?

1476
01:11:36,080 --> 01:11:38,480
Speaker 2: I'll worry a lot here on Breaking Points about polarization

1477
01:11:38,760 --> 01:11:41,559
Speaker 2: red versus blue. It's the easiest form to discuss, but

1478
01:11:41,640 --> 01:11:44,759
Speaker 2: in reality, the way that polarization really affects our lives

1479
01:11:45,080 --> 01:11:47,000
Speaker 2: is all the little ways that we start to hate

1480
01:11:47,040 --> 01:11:49,880
Speaker 2: each other, from dating preferences to where you will live,

1481
01:11:49,960 --> 01:11:51,680
Speaker 2: to the type of car that you will buy, to

1482
01:11:51,720 --> 01:11:54,960
Speaker 2: which school you will send your kids to. Polarization actually

1483
01:11:54,960 --> 01:11:57,320
Speaker 2: divides us in a more fundamental way than we often

1484
01:11:57,360 --> 01:12:00,639
Speaker 2: tend to realize. And I often said that polarize today

1485
01:12:00,720 --> 01:12:03,719
Speaker 2: is best understood by a single question, did you attend

1486
01:12:03,760 --> 01:12:06,920
Speaker 2: a four year college degree or not? The answer to

1487
01:12:06,960 --> 01:12:10,240
Speaker 2: that question is probably the single best determinant of how

1488
01:12:10,240 --> 01:12:12,800
Speaker 2: you voted in twenty twenty. If you did, statistically are

1489
01:12:12,880 --> 01:12:14,760
Speaker 2: much more likely to vote Democrat, and if you didn't,

1490
01:12:14,760 --> 01:12:18,480
Speaker 2: statistically more likely to support Trump. Where there are important exceptions,

1491
01:12:18,520 --> 01:12:20,640
Speaker 2: and overall it's good as good as we got. But

1492
01:12:20,680 --> 01:12:23,360
Speaker 2: increasingly another factor is actually beginning to emerge that could

1493
01:12:23,400 --> 01:12:24,080
Speaker 2: really hurt us.

1494
01:12:24,320 --> 01:12:25,280
Speaker 3: What gender are you?

1495
01:12:25,560 --> 01:12:28,360
Speaker 2: As you could actually see from those maps, if only

1496
01:12:28,520 --> 01:12:32,200
Speaker 2: women voted, Democrats would win by a huge margin. If

1497
01:12:32,240 --> 01:12:35,120
Speaker 2: only men voted, the same would happen for Republicans. So

1498
01:12:35,240 --> 01:12:37,800
Speaker 2: once again, there are important exceptions to this rule. But

1499
01:12:37,880 --> 01:12:40,200
Speaker 2: the more true that it becomes, the bigger problems we

1500
01:12:40,280 --> 01:12:42,320
Speaker 2: are going to have. In fact, the more that I'm

1501
01:12:42,320 --> 01:12:45,160
Speaker 2: looking at emerging data, I'm realizing we've never actually been

1502
01:12:45,240 --> 01:12:47,679
Speaker 2: less racially polarized as a country, which.

1503
01:12:47,439 --> 01:12:48,200
Speaker 3: Is not a bad thing.

1504
01:12:48,479 --> 01:12:52,040
Speaker 2: But within races we are actually polarizing amongst very different lines.

1505
01:12:52,240 --> 01:12:55,680
Speaker 2: Take Latino voters, for example, The two big predictors of

1506
01:12:55,720 --> 01:12:58,639
Speaker 2: whether a Latino voted for Trump in twenty twenty are

1507
01:12:58,840 --> 01:13:00,000
Speaker 2: did you attend college or not?

1508
01:13:00,400 --> 01:13:02,280
Speaker 3: And are you a man or a woman. The same

1509
01:13:02,360 --> 01:13:03,479
Speaker 3: is true for white voters.

1510
01:13:03,640 --> 01:13:06,559
Speaker 2: Increasingly we see signs of this trend even amongst black voters.

1511
01:13:07,080 --> 01:13:10,879
Speaker 2: Andrew Breitbart once famously said politics is downstream of culture

1512
01:13:11,200 --> 01:13:13,679
Speaker 2: in this divide, I think it's becoming even more clear

1513
01:13:14,000 --> 01:13:15,880
Speaker 2: what stun mean was not just that this is true

1514
01:13:15,920 --> 01:13:19,040
Speaker 2: for adults, but it appears true even for the emerging

1515
01:13:19,120 --> 01:13:22,439
Speaker 2: generation of teenagers, who much has been talked and written

1516
01:13:22,439 --> 01:13:24,280
Speaker 2: about as the great liberal hope.

1517
01:13:24,439 --> 01:13:26,840
Speaker 3: If you're talking about just women, that might be true.

1518
01:13:27,080 --> 01:13:30,320
Speaker 2: But some new data unearthed by Daniel Deviz at The Hill,

1519
01:13:30,680 --> 01:13:33,639
Speaker 2: buried within the Monitoring the Future survey from the University

1520
01:13:33,680 --> 01:13:36,840
Speaker 2: of Michigan, finds that the political identities of twelfth grade

1521
01:13:36,840 --> 01:13:40,759
Speaker 2: boys differs starkly from the political identities of twelfth grade girls.

1522
01:13:41,000 --> 01:13:44,439
Speaker 2: The Michigan survey finds, quote, twelfth grade boys are nearly

1523
01:13:44,479 --> 01:13:48,040
Speaker 2: twice as likely to identify as conservative versus liberal. Now,

1524
01:13:48,040 --> 01:13:51,519
Speaker 2: it's important that many people don't identify as anything. Important

1525
01:13:51,600 --> 01:13:55,559
Speaker 2: to note that conservative standing still only is approximately one quarter.

1526
01:13:55,800 --> 01:13:57,240
Speaker 3: Liberal is a thirteen percent.

1527
01:13:57,520 --> 01:14:00,639
Speaker 2: But it's important designator whenever you put it up against women.

1528
01:14:00,920 --> 01:14:03,200
Speaker 2: For girls, it could actually be more different, as the

1529
01:14:03,240 --> 01:14:06,280
Speaker 2: survey finds, quote, the share of twelfth grade girls who

1530
01:14:06,360 --> 01:14:10,000
Speaker 2: identifies liberal rose from nineteen percent in twenty twelve to

1531
01:14:10,240 --> 01:14:13,280
Speaker 2: thirty percent in twenty twenty two. Only twelve percent of

1532
01:14:13,280 --> 01:14:16,800
Speaker 2: girls identified as conservative in last year's survey, so effectively

1533
01:14:16,880 --> 01:14:19,840
Speaker 2: the polar opposite of what's going on with boys. What's

1534
01:14:19,880 --> 01:14:22,519
Speaker 2: interesting is not the divide, but how actually new the

1535
01:14:22,560 --> 01:14:23,200
Speaker 2: divide is.

1536
01:14:23,479 --> 01:14:24,320
Speaker 3: As they know quote.

1537
01:14:24,320 --> 01:14:28,560
Speaker 2: As recently as late two thousands, liberal boys occasionally outnumbered conservatives,

1538
01:14:28,600 --> 01:14:30,640
Speaker 2: and back in the car To era, both boys and

1539
01:14:30,680 --> 01:14:34,040
Speaker 2: girls were leaning towards liberal. As researcher Gene Twine actually

1540
01:14:34,040 --> 01:14:38,200
Speaker 2: founded a new book published Generations, the difference in attitudes

1541
01:14:38,240 --> 01:14:42,000
Speaker 2: between twelfth graders has never been bigger than today. What's

1542
01:14:42,040 --> 01:14:44,880
Speaker 2: really interesting is that over a five year period, girls

1543
01:14:44,920 --> 01:14:49,040
Speaker 2: became slightly more liberal, but it's boys in particular who

1544
01:14:49,040 --> 01:14:52,720
Speaker 2: became much more conservative. So this explains actually a lot

1545
01:14:52,760 --> 01:14:55,200
Speaker 2: about today, a lot of trends like Liver King and

1546
01:14:55,200 --> 01:14:59,160
Speaker 2: Andrew Tate phenomenons, online shit posting, Reddit culture. As the

1547
01:14:59,200 --> 01:15:03,719
Speaker 2: overall culture becomes dramatically more hostile to traditional masculinity, especially

1548
01:15:03,760 --> 01:15:06,400
Speaker 2: during the Trump years, the new data on high schoolers

1549
01:15:06,439 --> 01:15:09,920
Speaker 2: in particular will have profound consequences for our society, culture,

1550
01:15:09,920 --> 01:15:13,439
Speaker 2: and our demographics as the years progress. We're already seeing

1551
01:15:13,439 --> 01:15:15,679
Speaker 2: what happens when this is applied to college. For example,

1552
01:15:15,880 --> 01:15:18,280
Speaker 2: the more colleges coded as left wing and for women

1553
01:15:18,360 --> 01:15:20,560
Speaker 2: and gays, the more that boys are just going to

1554
01:15:20,600 --> 01:15:23,639
Speaker 2: drop out. That's something that I've covered here repeatedly. Boys

1555
01:15:23,680 --> 01:15:26,160
Speaker 2: who are fleeing college by the millions in this higher

1556
01:15:26,280 --> 01:15:29,200
Speaker 2: education soon will have a gender gap nearly equal to

1557
01:15:29,240 --> 01:15:32,040
Speaker 2: the electoral gap that we are seeing right now. It

1558
01:15:32,120 --> 01:15:34,400
Speaker 2: is really as if worlds are colliding. And to once

1559
01:15:34,439 --> 01:15:37,360
Speaker 2: again answer the question, why should you even care about

1560
01:15:37,360 --> 01:15:41,200
Speaker 2: gender gaps and politics or in education, because it profoundly

1561
01:15:41,320 --> 01:15:44,360
Speaker 2: influences who dates who, and thus who is going to

1562
01:15:44,400 --> 01:15:48,000
Speaker 2: reproduce or even if that's attainable. A college graduate, for example,

1563
01:15:48,000 --> 01:15:51,160
Speaker 2: on average forty three percent less likely to date someone

1564
01:15:51,200 --> 01:15:53,960
Speaker 2: who is quote a Republican than the average American. It

1565
01:15:54,040 --> 01:15:56,639
Speaker 2: jumps up to sixty five percent for the term quote

1566
01:15:56,760 --> 01:15:59,960
Speaker 2: is a Trump Supporter. Dating in political polarization amongst gender

1567
01:16:00,600 --> 01:16:04,200
Speaker 2: creates a dramatic mismatch in the availability of mates both

1568
01:16:04,280 --> 01:16:06,840
Speaker 2: genders as they age up to the point where they

1569
01:16:06,880 --> 01:16:08,080
Speaker 2: desire a permanent partner.

1570
01:16:08,280 --> 01:16:09,440
Speaker 3: And while I support.

1571
01:16:09,080 --> 01:16:11,360
Speaker 2: People's right to be single, of course if they want to,

1572
01:16:11,680 --> 01:16:14,160
Speaker 2: the data tells us that people who are single longer

1573
01:16:14,200 --> 01:16:17,120
Speaker 2: and throughout their lives are less happy, less likely to

1574
01:16:17,120 --> 01:16:20,240
Speaker 2: report satisfaction in life, more likely to suffer from health problems,

1575
01:16:20,320 --> 01:16:23,920
Speaker 2: suffer worse overall lifetime earnings, and suffer on a myriad

1576
01:16:23,920 --> 01:16:26,559
Speaker 2: of other key quality of life metrics. So what can

1577
01:16:26,640 --> 01:16:29,599
Speaker 2: we do about this? I honestly don't know. Richard Reeves

1578
01:16:29,600 --> 01:16:31,680
Speaker 2: has some great ideas in his book about how to

1579
01:16:31,720 --> 01:16:33,879
Speaker 2: stop gender imbalances in schools and higher.

1580
01:16:33,800 --> 01:16:36,040
Speaker 3: Education, but I think it goes way deeper than that.

1581
01:16:36,320 --> 01:16:38,600
Speaker 2: Culture is telling men that they are not wanted, and

1582
01:16:38,640 --> 01:16:42,280
Speaker 2: they're responding accordingly by becoming both less desirable as mates

1583
01:16:42,320 --> 01:16:45,000
Speaker 2: and becoming more self loathing and angry with the Internet

1584
01:16:45,040 --> 01:16:48,400
Speaker 2: as a vehicle. Andrew Tait was a symptom of this disease.

1585
01:16:48,640 --> 01:16:51,040
Speaker 2: Liver King and many other scam artists to come and go.

1586
01:16:51,240 --> 01:16:54,640
Speaker 2: Since step one at least is acknowledging that we have

1587
01:16:54,720 --> 01:16:57,120
Speaker 2: a problem. It's okay to be a man, and it's

1588
01:16:57,120 --> 01:17:00,639
Speaker 2: also okay to care about men. So I'm clear curious

1589
01:17:00,640 --> 01:17:01,799
Speaker 2: what you thought, Chris.

1590
01:17:01,560 --> 01:17:03,800
Speaker 1: All about that, And if you want to hear my

1591
01:17:03,960 --> 01:17:07,400
Speaker 1: reaction to Cyber's monologue, become a Premium subscriber today at

1592
01:17:07,479 --> 01:17:08,799
Speaker 1: Breakingpoints dot Com.

1593
01:17:11,600 --> 01:17:13,719
Speaker 2: We're gonna have a great show for everybody on Thursday.

1594
01:17:13,840 --> 01:17:14,680
Speaker 2: Enjoy Counterpoints.

1595
01:17:14,720 --> 01:17:17,679
Speaker 3: Tomorrow. Ryan will be where's he coming in from? From France.

1596
01:17:18,000 --> 01:17:21,280
Speaker 2: We're jealous of him here at Breaking Points, so anyway,

1597
01:17:21,400 --> 01:17:23,040
Speaker 2: enjoy the show. Thank you to all of our premium

1598
01:17:23,040 --> 01:17:25,360
Speaker 2: subscribers who've been signing up, and we're working on some big,

1599
01:17:25,400 --> 01:17:28,240
Speaker 2: big guests just to explain the current apps and so

1600
01:17:28,280 --> 01:17:29,080
Speaker 2: we'll see you guys later