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Speaker 1: Apparently there's a company out there called crowd on Demand

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Speaker 1: that gives you a crowd for a protest, possibly even

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Speaker 1: a riot who knows on demand. Also, Margaret Brennan have

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Speaker 1: faced the nation is just about the dumbest person in

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Speaker 1: media nowadays. And the s fees happened last night ESPN's

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Speaker 1: Flagships Sports Award Show and some testy jokes were made.

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Speaker 1: We'll play some of that coming up. All that and

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Speaker 1: more on this episode of Turning Points Tonight.

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Speaker 2: My name is Joe Bob. Thanks so much for tuning in.

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Speaker 1: Together. We are charting the course of America's cultural comeback.

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Speaker 1: This is Turning Point Tonight. Now, before we get to

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Speaker 1: those stories and our fantastic panel, I want to briefly

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Speaker 1: set this up, because this passed the Senate and looks

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Speaker 1: like it's gonna be signed into lit by President Trump.

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Speaker 1: Wants to get to their house. Everybody kind of thinks

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Speaker 1: that's gonna happen. Signed on the desk, We're gonna defund NPR.

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Speaker 1: Conservatives have been clamoring for this for decades, literally decades,

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Speaker 1: and finally someone is going to do it. Now, why

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Speaker 1: on earth would we defund such a nonpartisan educational unit

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Speaker 1: like PBS and NPR, Well, why are they getting any

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Speaker 1: money in the first place. NBR consistently claims, yeah, we're

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Speaker 1: not really getting any money. It's very, very small percentage

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Speaker 1: coming directly from the federal government. We've done episodes before

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Speaker 1: as to how and why that's not true, but overall

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Speaker 1: it's okay. Well, if you're not getting any money, why

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Speaker 1: does it hurt so much that it's going away. Let's

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Speaker 1: bring in our panel right now, because I do want

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Speaker 1: to play this video. Bo Robertson and brought Bo Robinson

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Speaker 1: is a comedian. Aberduke is over at the Daily Caller. Guys,

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Speaker 1: thank you so much for joining us. Really appreciate you

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Speaker 1: taking the.

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Speaker 3: Time, Thanks for having thanks.

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Speaker 1: I want to get your opinion on this, but first

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Speaker 1: I want to play this video clip because the biggest

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Speaker 1: contention is, well, they're supposed to be non bias. There's

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Speaker 1: supposed to be nonpartisan, just educational content. Here's a clip

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Speaker 1: of Senator Kennedy kind of disproving the idea that you

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Speaker 1: know they're totally non non partisan and unbiased.

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Speaker 2: It's Katherine Mara. Then Senator Kennedy watched this, and we'll discuss.

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Speaker 4: As far as the accusations that were biased.

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Speaker 5: I would stand up and say, please show me a

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Speaker 5: story that concerns you, because we want to know and

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Speaker 5: we want to bring that conversation back to our newsroom.

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Speaker 6: I want to give you a few examples of stories

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Speaker 6: that NPR has published using taxpayer money. How racism became

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Speaker 6: a marketing tool for country music. Donald Trump's long embrace

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Speaker 6: of Vlatimer putin eating less beef is a climate solution.

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Speaker 6: There is no neutral. Nice white people can still be

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Speaker 6: complicit in Scientists debunk lab accident theory. The history of

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Speaker 6: policing and race in the United States are deeply interformed.

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Speaker 6: After Biden's debate performance, the presidential race is unchanged. A

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Speaker 6: brief history of how racism shaped interstate high What can

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Speaker 6: the White House do to confront the narrative around Biden's ability?

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Speaker 7: I just I love the fact that it just keeps

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Speaker 7: going and going and going.

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Speaker 1: Every Let's start with you here. My biggest contention is, hey,

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Speaker 1: if it's a funding thing, if you're saying, hey, only

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Speaker 1: only one percent comes directly from the federal government, which

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Speaker 1: of course is not true because there's a circumventing way

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Speaker 1: that they funnel money to each other. If it's not happening,

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Speaker 1: why are they so mad that we're taking it away?

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Speaker 8: Yeah, exactly.

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Speaker 9: They left x and other social media platforms because they

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Speaker 9: were angry that they were getting tagged as government funded

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Speaker 9: news sources, but now are claiming that they need this

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Speaker 9: funding from the government to be able to exist.

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Speaker 8: So which one is it?

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Speaker 10: Right?

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Speaker 9: Those two things are mutually exclusive. But Catherine Maher obviously

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Speaker 9: lives in a different reality. I means she testified to

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Speaker 9: Congress in the past year where she couldn't even remember

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Speaker 9: a series of insane left wing tweets that she had

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Speaker 9: sent from her own Twitter account, just claimed that it

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Speaker 9: never happen, and then when they were read back to her,

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Speaker 9: said she couldn't recall. There's this history of stories that

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Speaker 9: John Kennedy read out. But one of my favorites was

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Speaker 9: when they issued a statement explaining why they weren't covering

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Speaker 9: the Hunter Biden laptop scandal, and exercise possibly the worst

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Speaker 9: news judgment that would get anyone else at any other

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Speaker 9: news outlet fired by saying that it was not a story.

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Speaker 9: So this is long overdue. Look, if it's one percent,

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Speaker 9: then you all will be fine, right, no need to worry.

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Speaker 9: But American taxpayer should not be paying for this left.

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Speaker 1: To drivele Yeah, I like it wasn't. No, we don't

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Speaker 1: believe this story it was. This is not a big

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Speaker 1: enough story to cover, so we're just gonna avoid it

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Speaker 1: all entirely.

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Speaker 7: Up BO.

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Speaker 1: I think Senator Kennedy is doing a great job at

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Speaker 1: being a an artist in the discipline that we both

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Speaker 1: practice as a stand up comedy. I don't think he's

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Speaker 1: intentionally trying to be funny, but it's very, very funny.

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Speaker 2: Do you think. I don't know how big do.

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Speaker 1: You think the clamoring is going to be from the

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Speaker 1: Libs to try and figure out another avenue once this

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Speaker 1: bill goes through entire Well.

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Speaker 11: They're gonna have to make money, right, So I'm actually

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Speaker 11: looking forward to what they're about to do. Like is

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Speaker 11: NPR and PBS, I feel like they've been holding back.

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Speaker 11: Now they have a chance to go full MSNBC. They're

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Speaker 11: gonna start saying crazy things like men can have babies,

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Speaker 11: babies can have men, and Chris Christy is beautiful. So

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Speaker 11: I'm really looking forward at the future of them because

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Speaker 11: I think they've been holding back, so I can't wait

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Speaker 11: to see what they have to put forward.

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Speaker 1: Unfortunately Chris Christy coming in for a kicking there. Moving

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Speaker 1: on to this and this is I thought there were

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Speaker 1: several layers of this amber.

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Speaker 2: I got a ding on my phone.

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Speaker 1: I think it was from Fox News talking about a

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Speaker 1: CEO of an advocacy group denied a twenty million dollar

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Speaker 1: request to organize protests against President Trump. I was reading

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Speaker 1: that and that that's a headline in and of itself,

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Speaker 1: but as I was reading down further, it's this guy

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Speaker 1: named Adam Swart who's the CEO and founder of Crowds

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Speaker 1: on Demand, which I thought, wait, what that's that's a whole,

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Speaker 1: that's a group. The Wikipedia page says Crowds on Demand

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Speaker 1: is an American publicity firm that provides clients with hired

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Speaker 1: actors that poses fans, paparazzi, security guards, unpaid protesters, and

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Speaker 1: professional paid protesters. First things first, who's offering this guy

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Speaker 1: twenty million dollars?

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Speaker 2: I'll do it for half, by the way. Second, second,

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Speaker 2: this is an industry that exists.

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Speaker 1: I mean, we all kind of knew, but I thought

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Speaker 1: it was kind of more cloaked and closeted.

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Speaker 9: Not so.

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Speaker 2: Hey, this here's our website.

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Speaker 8: Yeah, I guess I'm not too surprised.

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Speaker 9: I mean, there's apps now where you can pay people

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Speaker 9: to wait in line for concert tickets for you, so

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Speaker 9: it's not you know, it stands to reason that people

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Speaker 9: would pay for professional protesters. But funny story, I once

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Speaker 9: was one of these paid.

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Speaker 8: Fans on accident.

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Speaker 9: So when I was in college, I was part of

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Speaker 9: College Republicans, and I was offered by a local consultant

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Speaker 9: to get free Seapac tickets for the College Republicans if

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Speaker 9: we went and cheered for Jeb Bush when he gave

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Speaker 9: his bet sepath. So I'm thinking free Seapac tickets. Heck, yeah,

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Speaker 9: let's go club. And of course we show up. They

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Speaker 9: give us Jeb shirts with a big exclamation point on them,

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Speaker 9: and they're like, just make sure that when the walkout

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Speaker 9: happens that you guys are standing and clapping.

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Speaker 8: Please clap for Seapack tickets.

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Speaker 7: I was just gonna make that reference. Did he stand

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Speaker 7: up there and say please clap?

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Speaker 2: You're like, hold on, is that us? Are we not?

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Speaker 8: In those words?

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Speaker 1: But yes, bo okay, we understand that politics is performative nowadays.

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Speaker 1: And then you know, for better or worse, good thing

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Speaker 1: or bad thing. I think it's a terrible thing, but

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Speaker 1: overall in general, again, kind of similar question. I didn't

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Speaker 1: know this was so out in the open. How is

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Speaker 1: this like not a bigger story? And why was the headline?

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Speaker 1: You know, the CEO denying, which is great, but why

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Speaker 1: wasn't the headline, Hey, all of these paid protesters, they're

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Speaker 1: out in the open. They've been a company since twenty twelve, Like, okay,

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Speaker 1: well that should be a pretty big deal.

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Speaker 11: It's been happening for a long time, which I'm kind

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Speaker 11: of surprised about. What really gets me is this guy

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Speaker 11: turned it down because he said that it wasn't going

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Speaker 11: to be a good look for him. So then he

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Speaker 11: goes on the news to tell the story about how

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Speaker 11: we turned it down because I think he feels that

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Speaker 11: that's a better.

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Speaker 10: Look for him.

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Speaker 2: It shocking that we didn't know about this until right now.

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Speaker 11: He's kind of letting the cat out of the bag,

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Speaker 11: so kind of kind of confirming what we've always thought

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Speaker 11: is everything's just like the vaccine fake you know.

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Speaker 2: Yeah.

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Speaker 1: Yeah, And I wonder too, of the many protests that

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Speaker 1: we've seen time and time again unfortunately since really George Floyd,

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Speaker 1: how many of those protesters were actually there because they

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Speaker 1: believed in the cause that they were fighting for, and

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Speaker 1: how many were just cashing checks probably from one mister Soros,

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Speaker 1: among many other interests.

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Speaker 2: So, guys, this.

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Speaker 1: Jarring trends, but also this, I feel like is a

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Speaker 1: we're kind of coming to the head here. Over the

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Speaker 1: weekend was the one year anniversary of President Trump barely

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Speaker 1: getting missed by an assassin's bullet.

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Speaker 2: Thank god.

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Speaker 1: By the way, the reports are now starting to come

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Speaker 1: out and people are kind of digging through them. There

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Speaker 1: was a Senate committee that dug really really into the

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Speaker 1: assassination attempt, and what they found is kind of shocking.

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Speaker 1: Amber the New York Post editorial board had had a

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Speaker 1: profile basically and said, well, is kind of incompetence, which

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Speaker 1: is very scary to me as a taxpayer who kind

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Speaker 1: of assumes that, Okay, well, the Secret Service, the FBI,

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Speaker 1: they've got things locked down, and sure sometimes things can happen,

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Speaker 1: but this kind of seemed, okay, Well, they can't tell

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Speaker 1: the local police department to do something that the local

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Speaker 1: police department doesn't want to do.

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Speaker 2: The local police department said it's too hot to cover

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Speaker 2: that roof.

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Speaker 1: They had just I'm not sure how new this information is,

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Speaker 1: but they'd mentioned they just found out. Are they've just

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Speaker 1: gotten counter snipers for this one round? And if they didn't,

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Speaker 1: holy cow, who knows what happened? What needs to happen

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Speaker 1: to instill or reinstill the confidence in these sorts of

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Speaker 1: institutions for the American people, because right now I'm kind

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Speaker 1: of looking at it and going, holy cow, how safe are

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Speaker 1: we really?

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Speaker 8: This report was wild.

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Speaker 9: It also said that there was a credible threat made

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Speaker 9: in the week prior to the Butler rally that the

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Speaker 9: Secret Service, or at least Trump's team, was not informed of.

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Speaker 9: And I've been very surprised at the President's response to this.

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Speaker 9: He says that he's satisfied with the investigation, and we

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Speaker 9: just learned that the punishment for some of the agents

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Speaker 9: involved in this security failure was merely a ten to

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Speaker 9: forty two day suspension and then reassignment to different jobs,

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Speaker 9: basically out of the field. I mean, if it were

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Speaker 9: me that got my ear hit by a bullet, I

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Speaker 9: would want all of them fired. I would want a

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Speaker 9: total leadership replacement at the top of the Secret Service.

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Speaker 9: And yet these people effectively got away with a slap

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Speaker 9: on the risk it's very disturbing, but in line with

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Speaker 9: what we've seen from our intelligence agencies, whether it's the

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Speaker 9: FBI missing school shooter after school shooter despite number, you know,

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Speaker 9: numerous people reporting those people as potential threats before these incidents,

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Speaker 9: or whether it's the Larry Nasser f up or the

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Speaker 9: Epstein plea deal. I mean, this just seems like a

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Speaker 9: long trend of a lack of mission focus really from

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Speaker 9: the people who are supposed to keep us safe.

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Speaker 1: Yeah, it's it's honestly shocking that it is this this

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Speaker 1: level of effectively incompetence at the highest levels.

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Speaker 2: Bo.

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Speaker 1: One of the things that was in that particular New

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Speaker 1: Post article was that the Secret Service had some tech

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Speaker 1: issues with what's going on there.

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Speaker 9: Now.

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Speaker 1: Tech issues happen, that's not something that you can avoid,

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Speaker 1: but apparently there was no backup plan with those tech

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Speaker 1: issues in place. When we do events, right, if you

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Speaker 1: have a big screen, there's always a backup plan. That's

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Speaker 1: an event, not necessarily, that's an event that that people

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Speaker 1: are putting on not keeping the former and future president

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Speaker 1: the United States safe, what happens to happen culturally to

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Speaker 1: be able to make sure that this stuff doesn't happen again.

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Speaker 2: I don't know. Try listening to like thirty people saying.

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Speaker 11: The sniper's right there, he's right there on that roof.

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Speaker 11: Like I love how they say it's a tech issue.

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Speaker 11: First it was a sloped roof issue. Now it's a

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Speaker 11: tech issue, and they keep forgetting that it's a dim issue.

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Speaker 11: And that's the part that I think rubs the American

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Speaker 11: people the wrong way. Just take some acceptance, realize you

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Speaker 11: guys messed up, and hold those that are accountable for it.

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Speaker 2: I think it's pretty slipt.

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Speaker 1: Yeah, no, that's unfortunately something you literally never see in politics.

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Speaker 1: Actually you're seeing it increasingly, but from people who are

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Speaker 1: being disingenuous about trying to be more genuine, which is

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Speaker 1: ironic in and of itself.

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Speaker 2: But that's a different conversation for a different time.

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Speaker 1: Amber and Bobby back after the break, Thanks guys to

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Speaker 1: discuss the SP's wow Freudian slip there that happened last

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Speaker 1: night as well as one of the flagship shows on

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Speaker 1: one of your big networks, and the main host is

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Speaker 1: just just an idiot.

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Speaker 2: Don't go away, will be wreck bag. After the break, got.

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Speaker 10: To admire what you've been able to do, not to weaponize,

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Speaker 10: but to organize on these college campuses.

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Speaker 3: At Turning Point USA. We've spent thirteen years building the machine,

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Speaker 3: and last year we sought payoff. Our grassroots army is

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Speaker 3: making a real difference. Help us keep the momentum going.

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Speaker 3: Donate today and keep TPUSA strong on campuses across America.

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Speaker 5: And for a gift of any amount, you'll receive your

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Speaker 5: big Gov sucks cooler claim yours today.

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Speaker 1: And welcome back to Turning Point Tonight. We're together. We

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Speaker 1: are charting the course of America's cultural comeback.

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Speaker 2: I want to a page.

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Speaker 1: Turning One's White House correspondent is off the day, so

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Speaker 1: let's get back to our panel at Amber Duke and

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Speaker 1: Bo Robinson. Guys, I think covering the coverage is not

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Speaker 1: exactly something that I like to do, but when the

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Speaker 1: coverage is this ridiculous, it's kind of like, well, you

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Speaker 1: have to point it out, especially when it's one of

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Speaker 1: your big, big outlets. Margaret Brennan, host to Face the

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Speaker 1: Nation over there at CBS, big platform, massive influence in

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Speaker 1: the Beltway, had an article that I'm just gonna read

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Speaker 1: you the headline Amber, and it blew me away literally,

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Speaker 1: despite a vow to remove the worst offenders. ICE data

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Speaker 1: shows then less than one percent of deporties had murder convictions.

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Speaker 1: Oh so it's fine then, because only a small percentage

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Speaker 1: to have murder convictions, they're being able to be removed

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Speaker 1: from the country. First of all, why are there people

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Speaker 1: with murder.

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Speaker 2: Convictions that are just out around the street, especially if.

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Speaker 1: They're here illegally? Overall, I mean, what is she trying

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Speaker 1: to pull by writing an article like this. She's already

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Speaker 1: got her show that everybody laughs at. She gets dunked

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Speaker 1: on any time Jade Vance goes on there.

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Speaker 2: But what's the goal here?

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Speaker 9: Amber It's even better when you read the text of

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Speaker 9: the article because it says only twenty four hundred sex

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Speaker 9: offenders have been rounded up by the Trump administration and

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Speaker 9: only seven hundred and fifty or so murderers have been

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Speaker 9: rounded up by the Trump administration just and only those

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Speaker 9: are obviously people who shouldn't have been here in the

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Speaker 9: first place. And they're also only talking about convictions, so

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Speaker 9: they're not considering people who might be have warrants for

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Speaker 9: their arrest back in their home countries, or have been

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Speaker 9: accused of these crimes but not convicted yet. It's some

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Speaker 9: faulty accounting, to be sure, but the point is one

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Speaker 9: is too many. They're obviously trying to paint the picture

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Speaker 9: that the Trump administration is going after otherwise law abiding

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Speaker 9: illegal aliens who are just for a better life for

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Speaker 9: their family. And it doesn't really matter because the reality

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Speaker 9: is Trump campaign on mass deportations. Mass deportations is what

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Speaker 9: the American people want. They don't really care whether it's

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Speaker 9: a murderer or someone who just crossed the border illegally

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Speaker 9: with their family. They still disrespected this country's laws. But

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Speaker 9: I do think we need to send Vance back to

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Speaker 9: Margaret Brennan so he can pull another one of his

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Speaker 9: perfect moments, whether it's I don't really care, Margaret, or

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Speaker 9: do you hear yourself? Andrea, when she tried to downplay

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Speaker 9: the number of apartment complexes that were taken over by

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Speaker 9: trendy Arragua and Colorado, Yeah.

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Speaker 1: Well it was only a couple apartment complexes that were

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Speaker 1: violently taken over by illegal criminal gangs.

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Speaker 2: It shouldn't be that big of a deal. Bo.

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Speaker 1: She goes on in the article to kind of list

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Speaker 1: the like basically what Amber was saying. Oh, yeah, only

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Speaker 1: a couple of them were sex offenders, Well, why did

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Speaker 1: we even need to get those people out of the

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Speaker 1: country in the first place. Why were they still here

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Speaker 1: to begin with? At what point? Because they are going

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Speaker 1: to have a messaging issue with you know, once, once

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Speaker 1: we've run out of all the criminals to get out

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Speaker 1: of the country, there is going to be messaging if

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Speaker 1: you issue on uh, okay, well we've got to continue

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Speaker 1: the deportations and maybe we can talk about a little

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Speaker 1: bit without that later. But what is the what do

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Speaker 1: you think the overall goal is for libs kind of

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Speaker 1: using these, in my opinion, ridiculous statistics to try and

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Speaker 1: spin a story of well, they're not doing what they

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Speaker 1: said they were going to do.

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Speaker 11: Well, I think they're going to do whatever they can

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Speaker 11: to make Trump look bad. I mean, for the for

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Speaker 11: the last you know what, eight nine years, they've been

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Speaker 11: doing that. And it's doesn't matter how many people he deports,

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Speaker 11: doesn't matter if it's less or more than other previous

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Speaker 11: presidents like Obama and Bush. But it's just that he's

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Speaker 11: doing it and they're going to make it look as

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Speaker 11: bad as possible. And that's the goal here, right because

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Speaker 11: they need their voters, like we all know, California's a

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Speaker 11: sanctuary state, and we all know that some people are

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Speaker 11: actually getting wrapped up for voting in the last election.

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Speaker 11: So is it maybe that they're trying to keep these

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Speaker 11: people here to swing the majority in their direction, you know,

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Speaker 11: for example, like the amount of delegates that are in office,

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Speaker 11: or the amount of people on for in Congress because

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Speaker 11: of population. You know, so all of these things I

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Speaker 11: think are coming into play.

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Speaker 1: Yeah, Amber, I kind of want to double back on

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Speaker 1: this because I'm curious about how you think the messaging

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Speaker 1: is going to work at this point in time. Margaret

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Speaker 1: Brennan was basically saying, well, they said they were going

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Speaker 1: after criminals, but they're going after people that aren't murderers too,

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Speaker 1: which is again ridiculous. However, there's about seven hundred thousand

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Speaker 1: people at least estimated wise that have committed crimes and

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Speaker 1: are still in the country illegally. There's about twenty million

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Speaker 1: estimated to be in the country illegally, and all.

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Speaker 2: Of them have to go too.

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Speaker 1: What actually happens when we do pass that seven hundred

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Speaker 1: thousand threshold and all the criminal illegals are gone, because

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Speaker 1: it still got three and a half years, And how

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Speaker 1: does kind of the messaging, you think change in morph

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Speaker 1: in a way that still reminds people, Hey, we still

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Speaker 1: have tens of millions of people here illegally. Yes, we

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Speaker 1: got the criminals out, and that's what we said we

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Speaker 1: were going to do first, but it doesn't stop there. Yeah.

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Speaker 9: Well, I think the American people have made pretty clear

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Speaker 9: that they're not interested in amnesty. So the only alternative

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Speaker 9: to that is they have to go back, and they

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Speaker 9: have to come back the right way if they do

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Speaker 9: want to stay in the country. So I think it's

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Speaker 9: just about making the point about due process and rule

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Speaker 9: of law, and that this is a country that respects

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Speaker 9: rule of law. And the Democrats are intentionally conflating all

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Speaker 9: illegal immigrants with the criminals because they want to paint

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Speaker 9: the most sympathetic picture possible. It's why they had that

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Speaker 9: huge error on Abrigo Garcia. They thought he was just

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Speaker 9: a marilynd father because his idiot left wing lawyer tried

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Speaker 9: to make that case in his initial court filings, and

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Speaker 9: then the government quickly responded with the evidence that he

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Speaker 9: was actually a gang member who had been stopped on

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Speaker 9: human trafficking suspicion and had allegedly domestic violence accusations from

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Speaker 9: his wife. So they jumped the gun on that one,

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Speaker 9: and really I think crippled their little house of cars

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Speaker 9: that they were building up for the sympathetic legal immigrants,

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Speaker 9: kind of like how the complaints about Alligator alcot or

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Speaker 9: that the immigrants being detained there got ham sandwiches instead

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Speaker 9: of hot food. That's an actual line from a Washington

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Speaker 9: Post article I read this morning. So these claims, the

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Speaker 9: more that they do them, as the administration is rounding

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Speaker 9: up the criminals, the harder it's going to be for

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Speaker 9: them to paint this sympathetic picture when they do move

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Speaker 9: on to the ones who don't have past criminal records.

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Speaker 2: Interesting.

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Speaker 1: Yeah, and obviously I would say that, well, if you

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Speaker 1: came into the country illegally, not over state of visa

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Speaker 1: because it's technically a civil thing, but there's a bunch

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Speaker 1: of different delineations there. If you, Clint came in the

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Speaker 1: country I legally over the border, yeah, you also still

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Speaker 1: are a criminal. But I guess that doesn't fly in

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Speaker 1: the way that libs think about this. Last night, Guy's

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Speaker 1: was the Espies, ESPN's kind of flagship awards show, and

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Speaker 1: it was hosted by Shane Gillis. Who a bunch of

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Speaker 1: conservatives are big fans of because he tends to lean

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Speaker 1: a certain direction that we usually like. Now, not all

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Speaker 1: of his jokes were friendly to conservatives, but there are

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Speaker 1: a bit edgy, which I think is funny both Specifically,

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Speaker 1: I want.

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Speaker 2: To get your thoughts on this.

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Speaker 1: We're gonna play this one joke that has had the

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Speaker 1: Huffington Post just all riled up.

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Speaker 12: Watch this and we'll discuss when Caitlyn Clark retires from

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Speaker 12: the WNBA, she's going to work at a waffle house

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Speaker 12: so she can continue doing what she loves most fist

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Speaker 12: fighting black women.

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Speaker 1: And you hear people laughing there, And there was a

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Speaker 1: bunch of other jokes. In case you missed it, I

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Speaker 1: should have brought this on. He said, we're here welcoming

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Speaker 1: so and so. Who's an all four time NBAWNBA All

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Speaker 1: Star And he pointed to a woman and everybody cheered,

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Speaker 1: and he said, I'm just kidding. That's actually my friend's wife.

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Speaker 1: You guys don't watch the WNBA. But that, among many

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Speaker 1: other jokes, Huffington Post bo said, this ESB's host makes

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Speaker 1: black women the punchline literally in cringe. Caitlyn Clark joke.

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Speaker 1: So clearly we're now immediately, well, you can't make fun

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Speaker 1: of black women because they are a protected species in

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Speaker 1: this country. What do you think this says about culture

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Speaker 1: and the kind of the ever changing environment, the evolving

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Speaker 1: environment that comedians can exist in and kind of make

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Speaker 1: these edgy, punchy jokes.

439
00:22:14,640 --> 00:22:17,640
Speaker 11: Well, the first thing you said is that he's funny, right,

440
00:22:17,720 --> 00:22:20,080
Speaker 11: or that people find him interesting because he has a

441
00:22:20,080 --> 00:22:23,440
Speaker 11: conservative spin. I think people like Shane Gillis because he's funny.

442
00:22:23,880 --> 00:22:26,520
Speaker 11: Second of all, a lot of these jokes are approved

443
00:22:26,560 --> 00:22:27,440
Speaker 11: by the spist.

444
00:22:27,480 --> 00:22:28,480
Speaker 2: So somebody approved that.

445
00:22:28,920 --> 00:22:31,960
Speaker 11: And I'm gonna be honest, I don't think Shane Gillis

446
00:22:32,000 --> 00:22:32,800
Speaker 11: wrote that joke.

447
00:22:33,040 --> 00:22:34,480
Speaker 2: I think he wrote a different joke.

448
00:22:34,560 --> 00:22:36,280
Speaker 11: I think I know what he wrote wrote, and I

449
00:22:36,280 --> 00:22:37,840
Speaker 11: want to read it to you guys.

450
00:22:38,600 --> 00:22:41,760
Speaker 2: Is that all right? I don't get as kicked off

451
00:22:41,760 --> 00:22:42,639
Speaker 2: the air, but go ahead.

452
00:22:42,640 --> 00:22:43,040
Speaker 1: Oh no.

453
00:22:43,440 --> 00:22:45,680
Speaker 11: So, I think what the joke was supposed to say

454
00:22:45,720 --> 00:22:48,560
Speaker 11: is when Caitlin Clark retires from the WNBA, she's going

455
00:22:48,600 --> 00:22:50,640
Speaker 11: to work at a waffle house so she can continue

456
00:22:50,640 --> 00:22:53,360
Speaker 11: doing what she loves the most, fistfighting black men.

457
00:22:54,240 --> 00:22:57,640
Speaker 2: And I think they excused it for women. I think

458
00:22:57,680 --> 00:22:59,760
Speaker 2: that's the fun of your joke as a comedian, So

459
00:22:59,840 --> 00:23:01,080
Speaker 2: I like, no, we can't do that.

460
00:23:01,119 --> 00:23:03,439
Speaker 11: We gotta go for the women part. So you know,

461
00:23:05,560 --> 00:23:08,479
Speaker 11: I think Shane had something else intended and and it

462
00:23:08,560 --> 00:23:09,159
Speaker 11: is what it is.

463
00:23:09,240 --> 00:23:13,600
Speaker 7: So yeah, you know, neither can confirm nor deny that,

464
00:23:13,640 --> 00:23:16,760
Speaker 7: but that that also would have been another additional funny

465
00:23:16,760 --> 00:23:20,159
Speaker 7: punchline amber the There was a big, long article of

466
00:23:20,200 --> 00:23:25,439
Speaker 7: the Huffington Post that included this. WNBA players of color

467
00:23:25,480 --> 00:23:30,600
Speaker 7: have been a vocal target of of by targeted by racism,

468
00:23:31,160 --> 00:23:35,960
Speaker 7: hate speech, and aggressive internet trolls with unfair standards. WNBA

469
00:23:36,080 --> 00:23:38,679
Speaker 7: had to issue a statement, we are not a racist league.

470
00:23:39,000 --> 00:23:42,439
Speaker 2: Again. I just think it's a funny joke. What I

471
00:23:42,480 --> 00:23:45,119
Speaker 2: don't know. Do you see a light of the tunnel

472
00:23:45,119 --> 00:23:47,160
Speaker 2: of libs not getting their panties up in a bunch

473
00:23:47,440 --> 00:23:47,880
Speaker 2: over this?

474
00:23:48,800 --> 00:23:50,919
Speaker 9: Oh no, they love to be offended. It's like their

475
00:23:50,960 --> 00:23:54,480
Speaker 9: favorite currency. But the beautiful thing is that Shane Gillis

476
00:23:54,720 --> 00:23:57,800
Speaker 9: is indicative of the cultural shift. It wasn't that long

477
00:23:57,880 --> 00:24:00,960
Speaker 9: ago that he was fired from SNL for making some

478
00:24:01,160 --> 00:24:04,560
Speaker 9: edgy jokes about race, and he's since hosted SNL two

479
00:24:04,600 --> 00:24:06,359
Speaker 9: times and now is the host of the SBS.

480
00:24:06,440 --> 00:24:07,920
Speaker 8: So we've come a long way.

481
00:24:08,000 --> 00:24:10,440
Speaker 9: He also, you know, mentioning earlier you have your forty

482
00:24:10,520 --> 00:24:12,760
Speaker 9: and slip about Epstein versus Epsey's. He did have a

483
00:24:12,760 --> 00:24:15,639
Speaker 9: great Epstein joke about how he had a joke written

484
00:24:15,680 --> 00:24:18,800
Speaker 9: in his script, but it must have got deleted or wait,

485
00:24:19,080 --> 00:24:20,560
Speaker 9: it must have deleted itself.

486
00:24:22,480 --> 00:24:25,600
Speaker 2: Yeah. Overall, just I think great performance.

487
00:24:25,600 --> 00:24:27,920
Speaker 1: But again, I'm a Shane Gillis fan and I'm excited

488
00:24:27,960 --> 00:24:30,560
Speaker 1: to see that comedy is coming back. And that doesn't

489
00:24:30,600 --> 00:24:32,720
Speaker 1: mean that nobody's ever going to get offended again. That

490
00:24:32,880 --> 00:24:35,040
Speaker 1: just means, hey, you know you're pushing some boundaries. You're

491
00:24:35,040 --> 00:24:36,840
Speaker 1: gonna be a little bit edgy, and if you go

492
00:24:36,920 --> 00:24:39,720
Speaker 1: too far, which does happen, sometimes you can go, hey,

493
00:24:39,760 --> 00:24:43,120
Speaker 1: sorry about that, missed an opportunity, and you know, move

494
00:24:43,160 --> 00:24:45,280
Speaker 1: on from there. But none of this just cancel culture

495
00:24:45,320 --> 00:24:48,960
Speaker 1: for the sake of we don't like you, Amberdook, Bo Robinson, guys,

496
00:24:48,960 --> 00:24:50,760
Speaker 1: thank you so much for joining. Really appreciate you taking

497
00:24:50,800 --> 00:24:51,160
Speaker 1: the time.

498
00:24:51,800 --> 00:24:52,280
Speaker 8: Thank you.

499
00:24:53,359 --> 00:24:56,520
Speaker 1: Coming up next, Tucker Carlson speaks again with Alex Clark

500
00:24:56,560 --> 00:24:59,120
Speaker 1: on the Culture Apothecary podcast. Equip from that right after

501
00:24:59,119 --> 00:25:00,640
Speaker 1: the break, Don't go Away, be right back.

502
00:25:08,920 --> 00:25:11,879
Speaker 10: Got to admire what you've been able to do, not

503
00:25:11,920 --> 00:25:15,840
Speaker 10: to weaponize, but to organize on these college campuses.

504
00:25:15,600 --> 00:25:19,080
Speaker 3: At turning Point USA. We've spent thirteen years building the machine,

505
00:25:19,119 --> 00:25:21,960
Speaker 3: and last year we sought payoff. Our grassroots army is

506
00:25:21,960 --> 00:25:24,480
Speaker 3: making a real difference. Help us keep the momentum going.

507
00:25:24,680 --> 00:25:29,520
Speaker 3: Donate today and keep keep USA strong on campuses across America, and.

508
00:25:29,520 --> 00:25:31,760
Speaker 5: For a gift of any amount, you'll receive your big

509
00:25:31,760 --> 00:25:33,879
Speaker 5: Gov Sucks cooler claim yours today.

510
00:25:41,960 --> 00:25:45,080
Speaker 4: What do you think about this weird backpedaling with Epstein

511
00:25:45,119 --> 00:25:45,920
Speaker 4: and the Trump admint.

512
00:25:46,280 --> 00:25:50,320
Speaker 13: I think it's tragic. I mean, it's awful. It gives

513
00:25:50,359 --> 00:25:53,919
Speaker 13: the impression that the Trump administration is covering up for

514
00:25:53,960 --> 00:26:00,199
Speaker 13: an international blackmail ring, true or not. That's devastating. You know,

515
00:26:00,200 --> 00:26:03,600
Speaker 13: people who voted for Trump voted for him precisely, not

516
00:26:03,760 --> 00:26:06,840
Speaker 13: just on Ebstein as an issue, but more broadly because

517
00:26:07,520 --> 00:26:09,800
Speaker 13: they're out of political options. I mean, they figured out

518
00:26:09,840 --> 00:26:11,720
Speaker 13: that both the parties are aligned on the questions that

519
00:26:11,800 --> 00:26:14,760
Speaker 13: matter the war, foreign policy, and the economy. They have

520
00:26:14,800 --> 00:26:17,720
Speaker 13: identical views. You know, we tax labor at twice the

521
00:26:17,800 --> 00:26:18,439
Speaker 13: rate of capital.

522
00:26:18,440 --> 00:26:19,040
Speaker 3: Why do we do that?

523
00:26:19,119 --> 00:26:23,199
Speaker 13: Exactly? And we're happy to send troops around the world

524
00:26:23,200 --> 00:26:25,240
Speaker 13: at the behest of other nations. Why are we doing

525
00:26:25,240 --> 00:26:28,679
Speaker 13: this again? And so that's the consensus in Washington across

526
00:26:28,680 --> 00:26:30,840
Speaker 13: both parties, and Donald Trump was the option to that.

527
00:26:31,160 --> 00:26:34,280
Speaker 13: And so if he is seen as covering up the

528
00:26:34,359 --> 00:26:37,760
Speaker 13: crimes of the uniparty, of the deep state, of the people,

529
00:26:37,800 --> 00:26:40,200
Speaker 13: of the deep architecture of power that clearly runs the world,

530
00:26:41,000 --> 00:26:44,280
Speaker 13: then you know, that's kind of the end of his movement.

531
00:26:44,760 --> 00:26:47,879
Speaker 13: Were they actually doing that, I don't think they weren't

532
00:26:47,880 --> 00:26:50,840
Speaker 13: necessarily doing that. I mean, I'm confident the truth is

533
00:26:50,880 --> 00:26:54,879
Speaker 13: that they don't have a lot of evidence about Epstein's

534
00:26:54,880 --> 00:26:59,680
Speaker 13: sex crimes actually, and the reason they don't is because

535
00:27:00,040 --> 00:27:02,520
Speaker 13: the original search warrant in two thousand and seven six

536
00:27:02,600 --> 00:27:05,680
Speaker 13: or seven seven, I think, was crafted in such a

537
00:27:05,680 --> 00:27:09,119
Speaker 13: way to protect Epstein. So the cover up began with

538
00:27:09,200 --> 00:27:11,879
Speaker 13: the first arrest. And as a result of that, the

539
00:27:11,920 --> 00:27:14,280
Speaker 13: Apartment of Justice doesn't have some giant corpus of like

540
00:27:14,359 --> 00:27:17,720
Speaker 13: videotapes of Epstein having sex with children. In fact, I've

541
00:27:17,760 --> 00:27:20,920
Speaker 13: never heard it credibly alleged to Epstein had sex with anybody.

542
00:27:21,440 --> 00:27:21,840
Speaker 2: I think that.

543
00:27:22,920 --> 00:27:26,160
Speaker 13: Erotic massages maybe he did know, I don't know. I've

544
00:27:26,160 --> 00:27:28,439
Speaker 13: never even heard that alleged. I think what happened was

545
00:27:28,480 --> 00:27:32,199
Speaker 13: the Attorney General, for reasons that are not clear to me,

546
00:27:32,720 --> 00:27:35,080
Speaker 13: when on television and said a bunch of things that

547
00:27:35,160 --> 00:27:40,160
Speaker 13: were untrue and that she certainly couldn't support, and gave

548
00:27:40,200 --> 00:27:44,440
Speaker 13: the impression that they had thousands of videotapes of Epstein

549
00:27:44,480 --> 00:27:48,240
Speaker 13: and this associates having sex with minors. I can't imagine

550
00:27:48,240 --> 00:27:50,080
Speaker 13: why she would say something like that. I can't imagine

551
00:27:50,080 --> 00:27:52,160
Speaker 13: why she's still the Attorney in General after saying something

552
00:27:52,200 --> 00:27:52,560
Speaker 13: like that.

553
00:27:53,720 --> 00:27:56,520
Speaker 4: But she said that, do you agree with Candace Owens

554
00:27:56,560 --> 00:27:58,720
Speaker 4: that the reason we are not going to see the

555
00:27:58,760 --> 00:28:01,800
Speaker 4: client list is because Isel is implicated.

556
00:28:01,600 --> 00:28:04,800
Speaker 13: Israel is implicated. I'm just what's going to say that?

557
00:28:05,600 --> 00:28:07,280
Speaker 13: To what extent? I don't think we know.

558
00:28:07,440 --> 00:28:09,200
Speaker 4: But what would Israel have to do with Epstein?

559
00:28:09,480 --> 00:28:11,680
Speaker 13: Well, let me just let me just get to Zucknbert first.

560
00:28:11,720 --> 00:28:13,879
Speaker 13: I don't know that there is a client list. Okay,

561
00:28:14,160 --> 00:28:16,840
Speaker 13: the only list that I'm aware of is a list

562
00:28:17,119 --> 00:28:20,879
Speaker 13: held by attorneys of the twenty five men who have

563
00:28:21,359 --> 00:28:25,000
Speaker 13: settled with women who claim they were trafficked by Epstein.

564
00:28:25,040 --> 00:28:27,199
Speaker 13: So there have been a series of civil cases about this,

565
00:28:27,760 --> 00:28:29,840
Speaker 13: and I think some of this women represented by David Boyce,

566
00:28:29,840 --> 00:28:31,719
Speaker 13: who's one of the most famous lawyers in America. I mean,

567
00:28:31,720 --> 00:28:34,520
Speaker 13: this is all like on the internet, and there is

568
00:28:34,560 --> 00:28:36,919
Speaker 13: a list of the people who've settled. It's not public,

569
00:28:37,040 --> 00:28:39,720
Speaker 13: probably could be public. Is that the same thing, No,

570
00:28:39,920 --> 00:28:42,120
Speaker 13: that's not the same thing. Those are people who've settled

571
00:28:42,120 --> 00:28:44,280
Speaker 13: claims made against them which are true or not. I

572
00:28:44,280 --> 00:28:46,920
Speaker 13: don't know. This is a civil case. I don't believe

573
00:28:46,960 --> 00:28:49,000
Speaker 13: that there's a list, and I think if there was

574
00:28:49,040 --> 00:28:51,760
Speaker 13: a list, it would have been destroyed around the time

575
00:28:51,760 --> 00:28:56,960
Speaker 13: Epstein was first arrested almost twenty years ago. Was Israel involved? Absolutely?

576
00:28:57,400 --> 00:29:00,280
Speaker 13: I mean the former Prime Minister of Israel had Rock

577
00:29:00,680 --> 00:29:06,400
Speaker 13: lived at Epstein's townhouse on and off for years, and

578
00:29:06,480 --> 00:29:10,440
Speaker 13: so absolutely. What does that mean? I mean, the allegation

579
00:29:10,680 --> 00:29:15,960
Speaker 13: is that Epstein was running a blackmail operation against powerful

580
00:29:16,000 --> 00:29:19,960
Speaker 13: people where they would be videotaped having sex outside of

581
00:29:20,040 --> 00:29:23,960
Speaker 13: marriage or illegally with underage women, and that information would

582
00:29:23,960 --> 00:29:25,840
Speaker 13: be used against them to get them to comply with

583
00:29:25,880 --> 00:29:29,080
Speaker 13: whatever request that government wanted them to comply with. Is

584
00:29:29,120 --> 00:29:31,480
Speaker 13: that true? I don't know. That's the allegation. Did Epstein

585
00:29:31,520 --> 00:29:34,360
Speaker 13: have deep ties the Israeli government? Absolutely, that's public. In fact,

586
00:29:34,640 --> 00:29:37,480
Speaker 13: Benjamin Ettia has talked about it in public so far

587
00:29:37,480 --> 00:29:40,600
Speaker 13: as I know, as a way of criticizing a Hubroc

588
00:29:40,600 --> 00:29:43,280
Speaker 13: who is a political rival of his. There's so many topics.

589
00:29:43,520 --> 00:29:47,200
Speaker 13: As a regular traveler to Israel and a great appreciator

590
00:29:47,200 --> 00:29:49,000
Speaker 13: of Israel as a country, it's a cool country. If

591
00:29:49,040 --> 00:29:52,160
Speaker 13: you haven't been there, it's worth going. There's a lot

592
00:29:52,240 --> 00:29:54,600
Speaker 13: more freedom to talk about stuff like this in Israel

593
00:29:54,640 --> 00:29:56,480
Speaker 13: than there is here. Everyone here's like, oh, you can't

594
00:29:56,480 --> 00:30:00,240
Speaker 13: say that I'm attacking on anybody. It's a country, lots

595
00:30:00,280 --> 00:30:01,800
Speaker 13: of countries, you know what I mean. Like I could

596
00:30:01,840 --> 00:30:04,600
Speaker 13: get up and say the CIA was running Epstein. I

597
00:30:04,600 --> 00:30:06,720
Speaker 13: don't think they were right, and everyone be like, Okay,

598
00:30:06,960 --> 00:30:08,920
Speaker 13: if you get up and you say Masades running Epstein,

599
00:30:08,960 --> 00:30:10,720
Speaker 13: it's like you're a Nazi or something. Well, of course

600
00:30:10,760 --> 00:30:12,560
Speaker 13: I'm not a Nazi, and I don't know that they

601
00:30:12,560 --> 00:30:15,040
Speaker 13: were running Epstein, but I know that he had. We

602
00:30:15,040 --> 00:30:19,040
Speaker 13: shouldn't be embarrassed about having a straightforward conversation about the

603
00:30:19,040 --> 00:30:22,760
Speaker 13: facts about anything, including this, and we can say conclusively

604
00:30:22,760 --> 00:30:25,160
Speaker 13: he had extensive ties to the Israeli government. Were they Well,

605
00:30:25,160 --> 00:30:26,240
Speaker 13: they won't answer that question.

606
00:30:26,440 --> 00:30:29,240
Speaker 4: Well, as we're recording this, Dan Bongino is threatening to

607
00:30:29,360 --> 00:30:33,160
Speaker 4: resign if Pambondi does not resign as ag What does

608
00:30:33,200 --> 00:30:35,120
Speaker 4: that tell us in your opinion.

609
00:30:35,040 --> 00:30:38,800
Speaker 13: Well, it tells us that Dan Bongino got shafted, completely shafted.

610
00:30:38,920 --> 00:30:40,680
Speaker 13: And I'm saying this as a friend of his and

611
00:30:40,720 --> 00:30:42,959
Speaker 13: someone who respects and likes him, but also just as

612
00:30:42,960 --> 00:30:46,800
Speaker 13: an observer, an informed observer of it. So Pambondi, who's

613
00:30:46,880 --> 00:30:49,880
Speaker 13: by the way, I don't hate Pambondi. She totally nice person.

614
00:30:50,280 --> 00:30:51,800
Speaker 13: She was here you would enjoy if I don't know

615
00:30:51,800 --> 00:30:53,440
Speaker 13: if you know her, but she's a very nice person.

616
00:30:53,960 --> 00:30:57,120
Speaker 13: Not against Pambondi in the slightest. But the fact is

617
00:30:57,240 --> 00:30:59,600
Speaker 13: she got on television on Fox News and started saying stuff,

618
00:30:59,640 --> 00:31:01,840
Speaker 13: I've got the client list on my desk and actually, no,

619
00:31:01,960 --> 00:31:07,160
Speaker 13: you don't. And I've got thousands of videos of Epstein

620
00:31:07,200 --> 00:31:09,640
Speaker 13: having sex with kids. Will actually know you don't. Most

621
00:31:09,640 --> 00:31:12,440
Speaker 13: of the material was commercial porn taking off his computer

622
00:31:12,560 --> 00:31:14,880
Speaker 13: Like that's just not true. Why did she say that?

623
00:31:14,920 --> 00:31:16,920
Speaker 13: Probably because she's insecure and she's trying to please the

624
00:31:16,960 --> 00:31:18,160
Speaker 13: audience I would expect.

625
00:31:18,240 --> 00:31:20,560
Speaker 4: Do you think Dan is upset because his integrity is

626
00:31:20,600 --> 00:31:22,200
Speaker 4: being questioned now over her mistakes.

627
00:31:22,560 --> 00:31:23,240
Speaker 14: Oh my gosh.

628
00:31:23,680 --> 00:31:26,880
Speaker 13: So you're Dan and you're a media figure and you've

629
00:31:26,880 --> 00:31:29,200
Speaker 13: got one of the biggest podcasts in the country, and

630
00:31:29,320 --> 00:31:31,880
Speaker 13: you're making tons of money and you're having a great time,

631
00:31:31,880 --> 00:31:34,320
Speaker 13: which he was. You just built this brand new studio

632
00:31:34,360 --> 00:31:36,160
Speaker 13: in Florida, you work with your wife, who you really

633
00:31:36,200 --> 00:31:38,320
Speaker 13: like what she does, and you get the call saying

634
00:31:38,320 --> 00:31:40,560
Speaker 13: you'd be deputy FBI director, and you're like, I love

635
00:31:40,640 --> 00:31:43,040
Speaker 13: Donald Trump, I love this country. I will, you know,

636
00:31:43,440 --> 00:31:46,880
Speaker 13: cut my pay by into a tenth of what it was,

637
00:31:47,400 --> 00:31:49,680
Speaker 13: and I will leave my house and move to DC,

638
00:31:49,840 --> 00:31:52,360
Speaker 13: which is a kind of prison sentence itself, and I

639
00:31:52,400 --> 00:31:54,120
Speaker 13: will do this because I love the President, I love

640
00:31:54,120 --> 00:31:56,600
Speaker 13: the country. And you're there a few months and all

641
00:31:56,600 --> 00:31:59,480
Speaker 13: of a sudden, everybody thinks you're covering up Epstein's crimes

642
00:32:00,240 --> 00:32:02,280
Speaker 13: and it kind of recks Dan's career, like he can't

643
00:32:02,320 --> 00:32:04,520
Speaker 13: go back. It's going to be very hard at this point.

644
00:32:04,520 --> 00:32:07,320
Speaker 13: I mean things may change, but as of today, pretty

645
00:32:07,320 --> 00:32:09,640
Speaker 13: hard for Dan to go back to his podcast audience

646
00:32:09,640 --> 00:32:11,120
Speaker 13: and be like, I'm telling you the truth when they

647
00:32:11,160 --> 00:32:13,320
Speaker 13: all think he's covering up for Epstein, who did that.

648
00:32:13,560 --> 00:32:16,960
Speaker 13: Pam BONDI did that, And I don't know that she

649
00:32:17,040 --> 00:32:18,920
Speaker 13: did it on purpose. I'm assuming not. I don't think

650
00:32:18,960 --> 00:32:21,800
Speaker 13: she's a mean person. I've never gotten that sense. But

651
00:32:22,400 --> 00:32:24,960
Speaker 13: for whatever reason, she went out there and said things

652
00:32:24,960 --> 00:32:26,960
Speaker 13: that were not true that she could not back up,

653
00:32:27,400 --> 00:32:29,480
Speaker 13: and then they issued this memo thinking that it would

654
00:32:29,520 --> 00:32:30,440
Speaker 13: clear everything up.

655
00:32:30,800 --> 00:32:31,640
Speaker 4: That was embarrassing.

656
00:32:31,680 --> 00:32:34,920
Speaker 13: And I guess they're just so dumb. They didn't realize

657
00:32:34,960 --> 00:32:38,800
Speaker 13: that if you tell everybody you have the tapes of

658
00:32:38,840 --> 00:32:41,000
Speaker 13: these crimes, and then you issue a memo saying you're

659
00:32:41,000 --> 00:32:43,280
Speaker 13: not going to prosecute anybody for the crimes, what are

660
00:32:43,280 --> 00:32:46,440
Speaker 13: you saying, I'm covering up for the perpetrators of these crimes.

661
00:32:47,120 --> 00:32:48,479
Speaker 2: Duh.

662
00:32:48,880 --> 00:32:50,760
Speaker 13: They have no one with an IQ over eighty of

663
00:32:50,760 --> 00:32:52,600
Speaker 13: there to read the memos? Are you kidding?

664
00:32:52,960 --> 00:32:53,120
Speaker 9: You know?

665
00:32:53,120 --> 00:32:54,800
Speaker 13: I'm not exactly sure how that happened, but I do

666
00:32:54,880 --> 00:32:56,560
Speaker 13: know that it leaves a guy like Dan in a

667
00:32:56,640 --> 00:33:00,240
Speaker 13: horrible position. Yeah, and he loves Trump, and I don't

668
00:33:00,240 --> 00:33:02,760
Speaker 13: think Trump had any knowledge of any of this at

669
00:33:02,760 --> 00:33:06,520
Speaker 13: the detailed level, and so he doesn't. I mean, what

670
00:33:06,560 --> 00:33:08,440
Speaker 13: do you do if you're Dan Bongino? I just really

671
00:33:08,520 --> 00:33:11,160
Speaker 13: I feel feel for him. What is Trump going to do.

672
00:33:11,200 --> 00:33:13,160
Speaker 13: I don't know. I do think that they're going to

673
00:33:13,920 --> 00:33:16,840
Speaker 13: I think they know that they have to do something.

674
00:33:19,040 --> 00:33:22,280
Speaker 13: I think it's absolutely fair to ask to what extent

675
00:33:22,400 --> 00:33:26,760
Speaker 13: was Epstein involved in a foreign intelligence operation on our soul?

676
00:33:26,800 --> 00:33:28,400
Speaker 13: This is our country. This country doesn't belong to any

677
00:33:28,400 --> 00:33:31,480
Speaker 13: foreign country. Okay, this is our country. I was born here,

678
00:33:31,880 --> 00:33:34,320
Speaker 13: I pay taxes here. So if some foreign country, I

679
00:33:34,320 --> 00:33:35,880
Speaker 13: don't care if you claim it's our ally or not,

680
00:33:36,440 --> 00:33:39,160
Speaker 13: is running an intel operation on my soil, I have

681
00:33:39,200 --> 00:33:41,040
Speaker 13: a right to know what that was. And don't makebe

682
00:33:41,040 --> 00:33:42,840
Speaker 13: me feel like I'm some kind of Nazi for asking.

683
00:33:43,080 --> 00:33:45,040
Speaker 13: I'm an American. I have an absolute right to know that,

684
00:33:45,920 --> 00:33:48,680
Speaker 13: and they're clearly that is what is being covered up

685
00:33:48,680 --> 00:33:50,360
Speaker 13: because it makes everyone so uncomfortable.

686
00:33:50,600 --> 00:33:53,760
Speaker 4: Well, speaking of people leaving the Trump admin, what is

687
00:33:53,800 --> 00:33:54,560
Speaker 4: wrong with Elon?

688
00:33:54,880 --> 00:33:56,720
Speaker 13: Well, well that's awesome. As far as I'm concerned, I

689
00:33:56,720 --> 00:33:58,920
Speaker 13: wouldn't put a NEURALI chip in my brain. I'll tell

690
00:33:58,920 --> 00:34:01,640
Speaker 13: you that it's like the bottom of my to do list.

691
00:34:01,800 --> 00:34:04,000
Speaker 4: You don't think he lost it with all that?

692
00:34:04,360 --> 00:34:06,600
Speaker 13: No, I mean, well, I just like Elon, you know,

693
00:34:06,880 --> 00:34:09,560
Speaker 13: and Trump liked Elon too. For the record, Yeah, a

694
00:34:09,600 --> 00:34:12,839
Speaker 13: lot and what was that about. Probably about a lot

695
00:34:12,880 --> 00:34:15,400
Speaker 13: of different things, but fundamentally I think it was I

696
00:34:15,480 --> 00:34:17,000
Speaker 13: have a lot of dogs. Do you love dogs? I

697
00:34:17,000 --> 00:34:18,879
Speaker 13: have one dog, You have one dog. Okay, So when

698
00:34:18,920 --> 00:34:21,680
Speaker 13: you get to the pack level with dogs, there's the

699
00:34:21,719 --> 00:34:24,000
Speaker 13: alpha dog. I have a female at the alpha bitch

700
00:34:24,000 --> 00:34:26,719
Speaker 13: in my house and there can be only one. And

701
00:34:26,760 --> 00:34:28,319
Speaker 13: if one of my kids brings a dog over. My

702
00:34:28,400 --> 00:34:31,200
Speaker 13: children have dogs, they bring a grand dog over and

703
00:34:31,239 --> 00:34:32,000
Speaker 13: there's a battle.

704
00:34:32,320 --> 00:34:33,520
Speaker 4: And that's what happened, you think with Trump.

705
00:34:33,560 --> 00:34:35,640
Speaker 13: And you can't have two alpha bitches in the same kitchen.

706
00:34:35,880 --> 00:34:37,719
Speaker 13: I just had that actually over the fourth of July,

707
00:34:38,200 --> 00:34:39,480
Speaker 13: you know what I mean. I mean you see this

708
00:34:39,560 --> 00:34:43,480
Speaker 13: in families when you have a patriarchal figure who's you know,

709
00:34:43,520 --> 00:34:45,960
Speaker 13: and then sometimes he's got tension with his son. I mean,

710
00:34:46,000 --> 00:34:49,520
Speaker 13: it's it's hard for dominant men to share the stage.

711
00:34:49,600 --> 00:34:51,760
Speaker 13: That's just a fact. That's not an attack on anybody.

712
00:34:51,760 --> 00:34:56,080
Speaker 13: And I think, you know, there's a series of layers

713
00:34:56,120 --> 00:35:00,319
Speaker 13: of specifics I think there, but fundamentally I think that's

714
00:35:00,480 --> 00:35:02,799
Speaker 13: what it is. But nobody's going to convince me that

715
00:35:02,840 --> 00:35:06,160
Speaker 13: Elon is a bad guy. Elon is I know Elon

716
00:35:06,200 --> 00:35:08,440
Speaker 13: well and he's a great guy, and he has all

717
00:35:08,520 --> 00:35:10,560
Speaker 13: kinds of views that I disagree with, some I think

718
00:35:10,560 --> 00:35:12,840
Speaker 13: are kind of kooky. Again, I'm not putting a freaking

719
00:35:12,920 --> 00:35:15,800
Speaker 13: neuralink chip in my head. No, I'm not going to

720
00:35:15,880 --> 00:35:19,160
Speaker 13: meld to the machine. No, I totally disagree with that.

721
00:35:19,320 --> 00:35:21,080
Speaker 13: But I really like him, and I think that he

722
00:35:21,200 --> 00:35:26,680
Speaker 13: has given this country something irreplaceably important, which is free speech,

723
00:35:26,680 --> 00:35:28,880
Speaker 13: which is our birthrate, given to us by God, protected

724
00:35:28,880 --> 00:35:31,120
Speaker 13: by the US government. But we didn't have it because

725
00:35:31,120 --> 00:35:33,120
Speaker 13: we had no outlet for speech. And X was the

726
00:35:33,120 --> 00:35:35,560
Speaker 13: beginning of the resurgence of free speech. And I just

727
00:35:35,719 --> 00:35:38,879
Speaker 13: pray that it remains open. But Elon did that single handedly. Yeah,

728
00:35:38,960 --> 00:35:42,680
Speaker 13: some foreigner who moved here, a naturalized citizen who gets America,

729
00:35:43,440 --> 00:35:45,120
Speaker 13: understands that the Bill of Rights is the core of

730
00:35:45,160 --> 00:35:48,479
Speaker 13: our country and defended it when no one else would.

731
00:35:49,360 --> 00:35:51,879
Speaker 13: And so I don't care what Elon does. I don't care.

732
00:35:52,000 --> 00:35:53,960
Speaker 13: I don't care if he robs a dozen banks in

733
00:35:54,000 --> 00:35:57,480
Speaker 13: Michigan next week. I won't support that, but I will

734
00:35:57,520 --> 00:36:02,840
Speaker 13: always be grateful to him. Yeah, for opening up.

735
00:36:05,600 --> 00:36:09,640
Speaker 10: Gotta admire what you've been able to do, not to weaponize,

736
00:36:09,719 --> 00:36:12,640
Speaker 10: but to organize on these college campuses.

737
00:36:12,320 --> 00:36:15,800
Speaker 3: At Turning Point USA. We've spent thirteen years building the machine,

738
00:36:15,840 --> 00:36:18,680
Speaker 3: and last year we sought payoff. Our grassroots army is

739
00:36:18,680 --> 00:36:21,200
Speaker 3: making a real difference. Help us keep the momentum going.

740
00:36:21,400 --> 00:36:26,239
Speaker 3: Donate today and keep TPUSA strong on campuses across America, and.

741
00:36:26,239 --> 00:36:28,480
Speaker 5: For a gift of any amount, you'll receive your big

742
00:36:28,520 --> 00:36:35,400
Speaker 5: Gov sucks cooler claim yours today.

743
00:36:38,920 --> 00:36:41,799
Speaker 10: You've got to admire what you've been able to do,

744
00:36:41,920 --> 00:36:46,080
Speaker 10: not to weaponize, but to organize on these college campuses.

745
00:36:45,760 --> 00:36:49,240
Speaker 3: At Turning Point USA. We've spent thirteen years building the machine,

746
00:36:49,239 --> 00:36:52,120
Speaker 3: and last year we sought payoff. Our grassroots army is

747
00:36:52,120 --> 00:36:54,640
Speaker 3: making a real difference. Help us keep the momentum going.

748
00:36:54,840 --> 00:36:59,399
Speaker 3: Donate today and keep TPUSA strong on campuses across America,

749
00:36:59,520 --> 00:36:59,799
Speaker 3: and for.

750
00:36:59,760 --> 00:37:02,120
Speaker 5: A gut of any amount, you'll receive your big Gov

751
00:37:02,239 --> 00:37:04,040
Speaker 5: sucks cooler claim yours today.

752
00:37:07,280 --> 00:37:10,560
Speaker 1: Doesn't get much better than that TPUSA dot com.

753
00:37:10,600 --> 00:37:11,960
Speaker 2: Make any donation, any amount and.

754
00:37:11,920 --> 00:37:13,880
Speaker 1: Get a free cooler. There's a couple of people that

755
00:37:13,960 --> 00:37:17,880
Speaker 1: submitted emails that said free cooler, Yes please, you know

756
00:37:17,920 --> 00:37:19,759
Speaker 1: who you are. You gotta go to the TPSA dot

757
00:37:19,800 --> 00:37:22,320
Speaker 1: com and actually donate to make sure that that cooler

758
00:37:22,760 --> 00:37:26,680
Speaker 1: becomes a reality. Make your Cooler Dreams of Reality TPUSA

759
00:37:26,800 --> 00:37:29,160
Speaker 1: dot com. There's also where you can go to learn

760
00:37:29,200 --> 00:37:31,439
Speaker 1: all of the different updates. The Turning Point has where

761
00:37:31,440 --> 00:37:33,360
Speaker 1: they're going to be at college campus wise of the

762
00:37:33,360 --> 00:37:36,480
Speaker 1: tour going on that front, the Believer Summit that's happening,

763
00:37:36,520 --> 00:37:39,279
Speaker 1: and Believe in October America Fest's happening in December. So

764
00:37:39,400 --> 00:37:41,880
Speaker 1: much that you can learn at tpusa dot com. You

765
00:37:41,880 --> 00:37:44,000
Speaker 1: can also email the show anytime you want tpt at

766
00:37:44,000 --> 00:37:46,840
Speaker 1: tpusa dot com give you emailt whether you agree or

767
00:37:46,880 --> 00:37:50,040
Speaker 1: whether you're wrong. Actually got a funny email cartoon. I

768
00:37:50,040 --> 00:37:54,120
Speaker 1: think I think this is a hand drawn cartoon slash meme,

769
00:37:54,360 --> 00:37:57,600
Speaker 1: which is kind of difficult to differentiate between the two nowadays,

770
00:37:57,640 --> 00:38:00,320
Speaker 1: what used to be kind of comic book cartoon tunes

771
00:38:00,360 --> 00:38:03,840
Speaker 1: are now memes and then vice versa. But this is

772
00:38:03,840 --> 00:38:06,680
Speaker 1: from Mike graphic Wood. Here has this just kind of

773
00:38:06,719 --> 00:38:08,440
Speaker 1: funny little doodle. I don't know if this is on

774
00:38:08,520 --> 00:38:10,920
Speaker 1: a napkin or a piece of cardboard, but it's two kids.

775
00:38:10,920 --> 00:38:11,359
Speaker 2: If you're just.

776
00:38:11,280 --> 00:38:13,239
Speaker 1: Listening to the podcast, two kids just sitting in the

777
00:38:13,640 --> 00:38:16,560
Speaker 1: outside the principal's office. The guy says, what did you do?

778
00:38:16,880 --> 00:38:20,160
Speaker 1: Says I used the wrong pronoun? It says, what the

779
00:38:20,280 --> 00:38:21,560
Speaker 1: bleep is a pronoun?

780
00:38:22,200 --> 00:38:22,680
Speaker 2: You got me?

781
00:38:22,760 --> 00:38:27,839
Speaker 1: I don't know, which highlights the ridiculousness of the trans ideology,

782
00:38:27,880 --> 00:38:32,680
Speaker 1: but also, unfortunately maybe also the grammar learning of America's

783
00:38:32,719 --> 00:38:35,279
Speaker 1: students not knowing what a pronoun is. Now again, I

784
00:38:35,400 --> 00:38:38,040
Speaker 1: understand in the context the zezer zim all of that.

785
00:38:38,160 --> 00:38:40,680
Speaker 1: I don't know what that is, but you should know

786
00:38:40,680 --> 00:38:42,320
Speaker 1: what pronouns are. And I don't know if that was

787
00:38:42,360 --> 00:38:45,839
Speaker 1: what the artist was trying to depict, but also could

788
00:38:45,880 --> 00:38:48,920
Speaker 1: be read out of that situation. I also thought this

789
00:38:49,000 --> 00:38:52,560
Speaker 1: was interesting too, because I think this is where the

790
00:38:53,000 --> 00:38:58,920
Speaker 1: mentality and how you understand things can go wrong, especially

791
00:38:58,920 --> 00:39:03,799
Speaker 1: if you're continually being inundated with nonsense about race and

792
00:39:03,960 --> 00:39:06,160
Speaker 1: gender and all that sort of garbage. At the end

793
00:39:06,239 --> 00:39:10,040
Speaker 1: of the day, your decisions are what make your outcomes

794
00:39:10,320 --> 00:39:14,120
Speaker 1: what they are. It has nothing to do with race,

795
00:39:14,400 --> 00:39:18,040
Speaker 1: your your gender, your your whatever. All of the immutable

796
00:39:18,120 --> 00:39:22,520
Speaker 1: characteristics that you have your your decisions will dictate your outcomes.

797
00:39:22,640 --> 00:39:23,200
Speaker 2: Uh.

798
00:39:23,280 --> 00:39:26,520
Speaker 1: This interesting, this Interestingly enough, I did have some sympathy

799
00:39:26,520 --> 00:39:28,400
Speaker 1: here until the very very end.

800
00:39:28,520 --> 00:39:31,320
Speaker 2: Watch this clip one, So Mark.

801
00:39:31,200 --> 00:39:33,560
Speaker 14: Car just got Repo while I was at the front office.

802
00:39:34,000 --> 00:39:37,600
Speaker 14: I don't have a job. I'm trying to start a

803
00:39:37,640 --> 00:39:46,359
Speaker 14: hair bas hoss and take content creation serious. Brant is

804
00:39:46,640 --> 00:39:52,480
Speaker 14: to do like and I was doordashing to make it.

805
00:39:55,320 --> 00:39:56,640
Speaker 14: This is the life of a black woman.

806
00:39:57,880 --> 00:40:00,560
Speaker 1: Yeah, all right, you had me there. In terms of

807
00:40:00,560 --> 00:40:03,440
Speaker 1: sympathy wise until the very end there, I can be

808
00:40:03,640 --> 00:40:06,320
Speaker 1: sympathetic towards people are struggling to make ends meet. I

809
00:40:06,960 --> 00:40:10,320
Speaker 1: totally get that. And as a person who does content

810
00:40:10,360 --> 00:40:13,320
Speaker 1: creation seriously, I get that I'm super lucky and fortunate

811
00:40:13,320 --> 00:40:14,960
Speaker 1: to be able to do this, and thank you to

812
00:40:14,960 --> 00:40:18,480
Speaker 1: all the people that make that happen and has nothing

813
00:40:18,480 --> 00:40:19,799
Speaker 1: to do with the fact that you're a black woman.

814
00:40:20,360 --> 00:40:22,040
Speaker 2: That's just the reality of it.

815
00:40:22,120 --> 00:40:24,000
Speaker 1: If I was in a different position, I also would

816
00:40:24,040 --> 00:40:25,799
Speaker 1: be hustling, and I also would be kind of in

817
00:40:25,800 --> 00:40:28,680
Speaker 1: that situation of Look, you have to make ends meet,

818
00:40:28,719 --> 00:40:32,120
Speaker 1: and sometimes that's really difficult, especially with the last administration

819
00:40:32,200 --> 00:40:32,600
Speaker 1: that just.

820
00:40:33,160 --> 00:40:35,000
Speaker 2: Blew inflation through the roof.

821
00:40:35,160 --> 00:40:37,200
Speaker 1: Like we get all of that, and I understand that

822
00:40:37,239 --> 00:40:39,960
Speaker 1: it's difficult for people, and I understand that governance also

823
00:40:40,080 --> 00:40:42,120
Speaker 1: dictates whether or not it's going to be easier or

824
00:40:42,120 --> 00:40:45,680
Speaker 1: more difficult. Charlie made a big speech about that at SaaS,

825
00:40:45,760 --> 00:40:48,560
Speaker 1: which I think you're going to see our conversation tomorrow.

826
00:40:48,600 --> 00:40:52,200
Speaker 1: Me and Charlie's talking about how the government can facilitate

827
00:40:52,480 --> 00:40:57,239
Speaker 1: better outcomes for people of all types of just Americans

828
00:40:57,280 --> 00:41:03,120
Speaker 1: as a whole, considering how they're doing after the past administration.

829
00:41:03,120 --> 00:41:05,440
Speaker 1: While there's a lot in there, the bottom line is

830
00:41:05,760 --> 00:41:08,640
Speaker 1: I can be sympathetic for people having difficult times. I

831
00:41:08,760 --> 00:41:12,160
Speaker 1: understand the hustle, I get it. It also has nothing

832
00:41:12,160 --> 00:41:15,960
Speaker 1: to do with your razor gender. That just is nothing

833
00:41:16,000 --> 00:41:20,000
Speaker 1: to do there, and you lost my sympathy entirely after that.

834
00:41:20,719 --> 00:41:23,719
Speaker 1: Sucks that rent is higher than it should be. Probably

835
00:41:24,280 --> 00:41:26,239
Speaker 1: sucks that your car got repotd. I don't know what

836
00:41:26,320 --> 00:41:27,879
Speaker 1: kind of cars you drove. Maybe it was a car

837
00:41:27,960 --> 00:41:31,480
Speaker 1: that you probably had no business driving. You know, who knows.

838
00:41:32,040 --> 00:41:33,840
Speaker 1: But at the end of the day, this is the

839
00:41:33,880 --> 00:41:34,839
Speaker 1: life of a black woman.

840
00:41:34,960 --> 00:41:36,560
Speaker 2: Give me a break with that.

841
00:41:36,680 --> 00:41:39,880
Speaker 1: If you want to ensure me not having any sympathy,

842
00:41:40,480 --> 00:41:43,160
Speaker 1: go ahead and throw that last part in there at

843
00:41:43,160 --> 00:41:45,040
Speaker 1: the end. Anyways, that's gonna do it for us here

844
00:41:45,040 --> 00:41:47,640
Speaker 1: at turning points tonight. Charlie's gonna take us out tomorrow

845
00:41:47,800 --> 00:41:50,400
Speaker 1: We're gonna have a fun montage of all of the

846
00:41:50,880 --> 00:41:53,080
Speaker 1: some of the different SaaS clips of our interviews with

847
00:41:53,160 --> 00:41:55,840
Speaker 1: Charlie Kirk among other people. Would love to see you

848
00:41:55,880 --> 00:41:57,760
Speaker 1: then see the same time, same place tomorrow.

849
00:41:57,840 --> 00:42:36,480
Speaker 15: God bless America.

850
00:42:21,880 --> 00:42:23,400
Speaker 2: Donald Trump Junior, everybody.

851
00:42:26,400 --> 00:42:32,880
Speaker 7: What's going on, guys, man Charlie. I remember when we

852
00:42:32,880 --> 00:42:34,239
Speaker 7: were starting these out and.

853
00:42:34,560 --> 00:42:36,719
Speaker 3: It was that like that, you know, it was like this.

854
00:42:36,840 --> 00:42:39,040
Speaker 3: It was like it was like your average three roads.

855
00:42:39,080 --> 00:42:40,799
Speaker 7: It was like your average political meeting where there was

856
00:42:40,800 --> 00:42:44,239
Speaker 7: like twelve people in a room and this is this

857
00:42:44,320 --> 00:42:45,840
Speaker 7: is awesome, and there were no young people.

858
00:42:46,800 --> 00:42:49,279
Speaker 3: And now we have thousands and thousands of young people

859
00:42:49,360 --> 00:42:50,520
Speaker 3: from all across the country.

860
00:42:52,960 --> 00:42:55,759
Speaker 7: No, it's it's amazing, and thank you guys for doing

861
00:42:55,760 --> 00:42:59,440
Speaker 7: all of it. I know it's summer vacation and doesn't

862
00:42:59,440 --> 00:43:02,400
Speaker 7: seem like there's for a vacation anymore. Its it's always

863
00:43:02,440 --> 00:43:05,280
Speaker 7: nuts out there. But it's amazing to see you guys

864
00:43:05,280 --> 00:43:09,480
Speaker 7: as involved as you are, watching what's going on, being vocal,

865
00:43:09,600 --> 00:43:13,040
Speaker 7: Having that next generation in there is so fundamentally important.

866
00:43:13,080 --> 00:43:15,000
Speaker 7: So I just love seeing you guys out there. So

867
00:43:15,120 --> 00:43:17,320
Speaker 7: thank you for all of that. It really makes a

868
00:43:17,320 --> 00:43:19,960
Speaker 7: big difference. And was obviously huge last November.

869
00:43:20,560 --> 00:43:23,440
Speaker 3: Yeah, and the themeal. What we're talking about is fulfilling

870
00:43:23,480 --> 00:43:27,360
Speaker 3: the mandate, especially for the younger voters in this audience.

871
00:43:27,480 --> 00:43:30,040
Speaker 3: Last week, the One Big Beautiful Bill was finally passed

872
00:43:30,360 --> 00:43:34,640
Speaker 3: and signed into law. And one of the components of

873
00:43:34,680 --> 00:43:37,680
Speaker 3: the One Big Beautiful Bill, the most important, is fully

874
00:43:37,719 --> 00:43:42,960
Speaker 3: funding ICE, fully funding the deportation effort. What would your appearance,

875
00:43:42,960 --> 00:43:45,680
Speaker 3: what would your perspective be? Your father has said no

876
00:43:45,920 --> 00:43:50,279
Speaker 3: amnesty under any circumstances whatsoever. Talk about the need for

877
00:43:50,360 --> 00:43:53,120
Speaker 3: mass deportations, and how we will not put up with

878
00:43:53,160 --> 00:43:54,480
Speaker 3: any amnesty whatsoever.

879
00:43:55,040 --> 00:43:55,440
Speaker 2: Listene.

880
00:43:55,680 --> 00:43:58,000
Speaker 7: It's so fundamentally critical. I mean, it was really the

881
00:43:58,120 --> 00:44:01,440
Speaker 7: number one issue we all campaigned on. We see what

882
00:44:01,560 --> 00:44:04,520
Speaker 7: it happened, what it did to so much of America,

883
00:44:04,840 --> 00:44:07,360
Speaker 7: it did to so many communities, and honestly, what it

884
00:44:07,360 --> 00:44:09,239
Speaker 7: did to so many of the low income communities in

885
00:44:09,280 --> 00:44:12,000
Speaker 7: this country where people were just sweeping those jobs and

886
00:44:12,080 --> 00:44:16,920
Speaker 7: ultimately everyone's potential American dream was getting wiped away. And

887
00:44:16,960 --> 00:44:21,000
Speaker 7: so the Big Beautiful Bill, the funding of the wall,

888
00:44:21,360 --> 00:44:25,520
Speaker 7: the funding of ICE, is so fundamentally important to actually

889
00:44:25,560 --> 00:44:27,399
Speaker 7: getting these things done right. We saw what we could

890
00:44:27,400 --> 00:44:30,520
Speaker 7: do about just the border itself. But now you have

891
00:44:30,600 --> 00:44:35,239
Speaker 7: twenty million people probably imagine they don't even know just

892
00:44:35,320 --> 00:44:37,960
Speaker 7: getting in there. They're getting all the benefits, you know,

893
00:44:38,000 --> 00:44:41,520
Speaker 7: the benefits that you guys pay for for yourselves, that

894
00:44:41,600 --> 00:44:44,040
Speaker 7: your parents probably paid for for all of you guys.

895
00:44:44,400 --> 00:44:46,799
Speaker 7: They get that with no contribution to the system. And

896
00:44:46,840 --> 00:44:51,040
Speaker 7: that was by design under the Biden administration, so to

897
00:44:51,080 --> 00:44:54,680
Speaker 7: have the funding to a start the mass deportations, but

898
00:44:54,719 --> 00:44:58,120
Speaker 7: more importantly the parts of the bill that literally cut

899
00:44:58,200 --> 00:45:02,760
Speaker 7: off all of the freebies that we're just draining our callers,

900
00:45:02,840 --> 00:45:06,120
Speaker 7: but more importantly, we're a calling card to the rest

901
00:45:06,120 --> 00:45:07,839
Speaker 7: of the world, be like, you know, come here, we'll

902
00:45:07,880 --> 00:45:10,760
Speaker 7: give you everything. You know, the healthcare that you got

903
00:45:11,120 --> 00:45:13,799
Speaker 7: gets diluted because you get to pay for thousands of

904
00:45:13,800 --> 00:45:16,320
Speaker 7: others that millions of others, tens of millions of others

905
00:45:16,960 --> 00:45:19,640
Speaker 7: who will likely never even pay into the system. It

906
00:45:19,680 --> 00:45:22,239
Speaker 7: doesn't work. It doesn't work in any other country. And

907
00:45:22,280 --> 00:45:24,319
Speaker 7: there's a reason no other country was doing it. So,

908
00:45:24,960 --> 00:45:27,359
Speaker 7: you know, that was a fundamental aspect of the big

909
00:45:27,400 --> 00:45:30,040
Speaker 7: beautiful bill to now actually have the funding to do this.

910
00:45:30,200 --> 00:45:33,359
Speaker 7: And it was sort of amazing to me how much

911
00:45:33,400 --> 00:45:36,400
Speaker 7: even reluctance there was from so many you know, allegedly

912
00:45:36,520 --> 00:45:40,319
Speaker 7: on our side. Well, it's just controversial. You're gonna you're

913
00:45:40,320 --> 00:45:43,320
Speaker 7: gonna have to deport someone that you know, listen, there's

914
00:45:43,360 --> 00:45:45,400
Speaker 7: gonna be good people that this happens too, too. But

915
00:45:45,800 --> 00:45:48,600
Speaker 7: there are millions of criminals. And this is Joe Biden's heis.

916
00:45:48,640 --> 00:45:51,280
Speaker 7: I mean when I saw the statistics, I literally couldn't

917
00:45:51,320 --> 00:45:56,560
Speaker 7: believe that a civilization could survive when you you know,

918
00:45:56,680 --> 00:46:01,359
Speaker 7: our Western values, our culture, the civilization itself when they

919
00:46:01,440 --> 00:46:04,080
Speaker 7: literally admitted and you know, this is biden Ice stats.

920
00:46:04,120 --> 00:46:07,720
Speaker 7: So this is probably diluted a lot, but six hundred

921
00:46:07,760 --> 00:46:11,640
Speaker 7: thousand criminals, thirteen thousand murderers, I mean, think about that.

922
00:46:11,880 --> 00:46:14,879
Speaker 7: Thirteen thousand murderers were let into the country. They knew

923
00:46:14,920 --> 00:46:17,680
Speaker 7: they were murderers and they let them into the country.

924
00:46:18,080 --> 00:46:22,640
Speaker 7: Sixteen thousand rapists. Okay, add those together, you go, what

925
00:46:22,800 --> 00:46:26,280
Speaker 7: thirty thousand let's call it thirty thousand murderers and rapists.

926
00:46:26,320 --> 00:46:29,480
Speaker 7: There's about four thousand counties in America. Imagine you spread

927
00:46:29,480 --> 00:46:33,239
Speaker 7: them out, you know, evenly throughout that. Yeah, we'll throw

928
00:46:33,880 --> 00:46:37,840
Speaker 7: seven murderers or rapists and do every county in America

929
00:46:37,840 --> 00:46:38,680
Speaker 7: how's that going to work?

930
00:46:39,640 --> 00:46:41,120
Speaker 2: Wait, what's the endgame there?

931
00:46:41,160 --> 00:46:42,160
Speaker 7: And that's what was going on.

932
00:46:42,239 --> 00:46:45,360
Speaker 3: The endgame is Lake and Riley, and the endgame is

933
00:46:45,440 --> 00:46:48,160
Speaker 3: rachel Morn, which is dead people all across the country

934
00:46:48,200 --> 00:46:49,440
Speaker 3: because of the open border.

935
00:46:49,680 --> 00:46:53,359
Speaker 7: Yeah, so you know that has to stop. They got

936
00:46:53,360 --> 00:46:55,040
Speaker 7: to get rid of that, and they have to also

937
00:46:56,200 --> 00:46:58,640
Speaker 7: do a lot more because they have to enable the

938
00:46:58,680 --> 00:47:00,680
Speaker 7: Americans to have a chance. We have to be able

939
00:47:00,680 --> 00:47:04,080
Speaker 7: to innovate, grow be productive enough to create the wages

940
00:47:04,160 --> 00:47:07,080
Speaker 7: necessary in a lot of these businesses that Americans will

941
00:47:07,120 --> 00:47:08,960
Speaker 7: actually work there. We've seen what happens when some of

942
00:47:09,000 --> 00:47:10,560
Speaker 7: these plays are oh it's going to be a disaster.

943
00:47:10,680 --> 00:47:13,239
Speaker 7: Oh wow, there's a line of Americans ready to do

944
00:47:13,320 --> 00:47:14,240
Speaker 7: some of these jobs.

945
00:47:15,320 --> 00:47:15,560
Speaker 13: You know.

946
00:47:16,040 --> 00:47:18,799
Speaker 7: A big part of it was also, you know, from

947
00:47:18,840 --> 00:47:21,799
Speaker 7: the corporate tax cut standpoint, right, that's great. I mean,

948
00:47:21,920 --> 00:47:24,520
Speaker 7: I'm a business guy. I love the corporate tax cuts.

949
00:47:25,120 --> 00:47:28,040
Speaker 7: But I think what was really unique about the BBB

950
00:47:28,800 --> 00:47:32,880
Speaker 7: was how much time, energy, and political capital my father

951
00:47:33,000 --> 00:47:37,880
Speaker 7: put into making sure those tax cuts translate down to

952
00:47:38,000 --> 00:47:40,960
Speaker 7: working class Americans. Okay, when you have the no tax

953
00:47:41,000 --> 00:47:46,880
Speaker 7: on tips, all of these ideas, they're going to benefit Americans.

954
00:47:46,920 --> 00:47:50,239
Speaker 7: So greatly. The original tax plan from the first administration.

955
00:47:50,640 --> 00:47:52,760
Speaker 7: It did just that. Everyone said, oh, it's just corporate,

956
00:47:52,760 --> 00:47:54,279
Speaker 7: it's just corporate. But I think the stats were like

957
00:47:54,280 --> 00:47:59,040
Speaker 7: close to ninety percent of Americans, like regular people, got

958
00:47:59,360 --> 00:48:02,960
Speaker 7: thousands and thousands of dollars in real benefits to them.

959
00:48:03,000 --> 00:48:05,799
Speaker 7: And that's the idea. I mean, his fundamental purpose is

960
00:48:05,840 --> 00:48:08,919
Speaker 7: to make sure that those real Americans, the hard work

961
00:48:09,320 --> 00:48:12,560
Speaker 7: Americans who've seen their wages diminished with inflation. We're getting

962
00:48:12,560 --> 00:48:15,600
Speaker 7: that under control too, but that we're really struggling for

963
00:48:15,640 --> 00:48:19,480
Speaker 7: the last few years, actually get to see the benefits

964
00:48:19,520 --> 00:48:21,799
Speaker 7: of these cuts. And again, it's one of those things

965
00:48:21,800 --> 00:48:23,319
Speaker 7: where my father had to go way out of his

966
00:48:23,400 --> 00:48:25,439
Speaker 7: way because you know, the Republican client. Wow, we're gonna

967
00:48:25,440 --> 00:48:27,160
Speaker 7: do it for corporations, and maybe some of that will

968
00:48:27,160 --> 00:48:31,960
Speaker 7: triggle down. No, it's gonna be about the Americans, about

969
00:48:32,000 --> 00:48:34,600
Speaker 7: getting them the most benefit out of this, and that's

970
00:48:34,600 --> 00:48:35,480
Speaker 7: how everyone wins.

971
00:48:35,920 --> 00:48:38,839
Speaker 3: And so this last week President Trump has been in

972
00:48:38,880 --> 00:48:42,759
Speaker 3: a feud with California over the transgender sports thing. We're

973
00:48:42,800 --> 00:48:47,000
Speaker 3: both fathers of daughters. Your daughter is a very good golfer.

974
00:48:47,360 --> 00:48:49,720
Speaker 3: What this whole like men in female sports?

975
00:48:50,600 --> 00:48:51,040
Speaker 9: Wow?

976
00:48:51,360 --> 00:48:52,840
Speaker 3: I told you she had a lot of fans.

977
00:48:52,880 --> 00:48:53,040
Speaker 14: Yeah.

978
00:48:53,120 --> 00:48:54,520
Speaker 2: Yeah, I tried.

979
00:48:54,239 --> 00:48:55,640
Speaker 10: To tell you.

980
00:48:54,640 --> 00:48:58,120
Speaker 7: You know, it's funny. I was like, Don and he's like,

981
00:48:58,480 --> 00:49:00,719
Speaker 7: I don't want to say we created among but by

982
00:49:01,400 --> 00:49:03,840
Speaker 7: chance that's sort of happened almost. I mean, it'll be

983
00:49:03,880 --> 00:49:07,200
Speaker 7: a year ago in two days. I was with her

984
00:49:08,360 --> 00:49:11,520
Speaker 7: on July thirteenth when my father was shot, and I

985
00:49:11,520 --> 00:49:15,920
Speaker 7: got the unusual call from my daughter that morning saying, hey,

986
00:49:15,960 --> 00:49:17,960
Speaker 7: I want to go fishing. Which you know, if you

987
00:49:17,960 --> 00:49:20,720
Speaker 7: have a teenage daughter or you guys are teenage daughters

988
00:49:20,800 --> 00:49:23,120
Speaker 7: or some yeah, you're not often calling dad to go

989
00:49:23,160 --> 00:49:25,879
Speaker 7: do something. So when you call dad, she's noting. She's like, yep,

990
00:49:26,200 --> 00:49:28,080
Speaker 7: when you call dad, he's gonna do it right, It

991
00:49:28,080 --> 00:49:28,600
Speaker 7: doesn't matter.

992
00:49:33,960 --> 00:49:36,960
Speaker 10: Got to admire what you've been able to do, not

993
00:49:37,000 --> 00:49:40,920
Speaker 10: to weaponize, but to organize on these college campuses.

994
00:49:40,680 --> 00:49:44,120
Speaker 3: At Turning Point USA, we've spent thirteen years building the machine,

995
00:49:44,160 --> 00:49:47,000
Speaker 3: and last year we sought payoff. Our grassroots army is

996
00:49:47,040 --> 00:49:49,520
Speaker 3: making a real difference. Help us keep the momentum going.

997
00:49:49,719 --> 00:49:53,560
Speaker 3: Donate today and keep tp USA strong on campuses across

998
00:49:53,560 --> 00:49:54,279
Speaker 3: America

999
00:49:54,440 --> 00:49:56,600
Speaker 5: And for a gift of any amount, you'll receive your

1000
00:49:56,600 --> 00:49:58,920
Speaker 5: big GOV sucks cooler claim yours today,