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Speaker 1: A toddler got kicked out of a UK nursery for

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Speaker 1: being transphobic. I wasn't sure that toddlers could do that. Also,

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Speaker 1: turns out illegals are getting a lot more than we thought.

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Speaker 1: Actually no, we knew what was happening, but the Libs

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Speaker 1: said no, no, no, they're not getting social Security numbers. Elon

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Speaker 1: Musk unveiled that over the weekend. All that and more

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Speaker 1: coming up on this episode of Turning Points Tonight. My

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Speaker 1: name is Jobob. Thanks so much for tuning in. Together,

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Speaker 1: we are charging the course of America's cultural comeback. This

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Speaker 1: is Turning Point Tonight. Now, remember you can email the

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Speaker 1: show anytime you want. TPT at TPUSA dot com. You

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Speaker 1: can email us. Whether you agree with everything we're saying

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Speaker 1: or you're wrong, it doesn't matter. You can email. Glenna's

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Speaker 1: gonna read every single email that gets sent to that inbox,

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Speaker 1: so TPT at TPUSA dot com. Now, before we bring

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Speaker 1: our panel in, I want to talk about this almost

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Speaker 1: hilarious because of how ridiculous it is and completely ironic

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Speaker 1: story coming out of Wisconsin. There's a lot of talk

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Speaker 1: about tho Wisconsin Supreme Court, and this is one of

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Speaker 1: the reasons why that election is so important. Last year,

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Speaker 1: the Wisconsin Supreme Court, get this, said that Catholic charities

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Speaker 1: were not going to be exempt from paying state unemployment

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Speaker 1: tax because they, I'm not kidding, weren't religious enough. Yes,

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Speaker 1: the charities that operated under the umbrella of the Catholic

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Speaker 1: Church weren't religious enough, and therefore, the Wisconsin Supreme Court said,

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Speaker 1: their activities are secular in nature and they neither attempt

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Speaker 1: to imbue program participants, pince with the Catholic face, nor

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Speaker 1: supply any religious materials. In other words, the Wisconsin Supreme Court,

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Speaker 1: that is now run by Libs, in a four to

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Speaker 1: three majority, said, well, the Catholic Church, their charities aren't

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Speaker 1: religious enough. They're not disseminating religious information. Therefore they don't

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Speaker 1: get this tax exemption. Now in the Catholic Church's charity organization,

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Speaker 1: the charities in question are ones that deal with adults

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Speaker 1: with developmental delays and are open to all people and

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Speaker 1: not just Catholics. So, in effect, the state of Wisconsin

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Speaker 1: has basically said, well, you know, you don't have enough

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Speaker 1: doctrine in what you're doing as a charity. Instead, you know,

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Speaker 1: all you're doing is I don't know showing the love

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Speaker 1: of Christ, which, oh my gosh, that's such a terrible thing.

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Speaker 1: The ironic part about this is this is now in

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Speaker 1: front of the Supreme Court, and the Supreme Court says, well,

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Speaker 1: you know, they aren't actually displaying enough of their religious

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Speaker 1: affiliation in their nonprofits. These people in Wisconsin who hate

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Speaker 1: the church so much, might make it a legal requirement

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Speaker 1: for charities affiliate affiliated with Christian religious organizations to tell

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Speaker 1: people about Jesus. I'll give you a point on that.

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Speaker 1: I think we're gonna be cool with that. I think

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Speaker 1: that's gonna be okay. Here to come on that and

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Speaker 1: so much more. Is the host of a daily pop

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Speaker 1: Adriene Gray and Turning Point USA contributor Anthony Watson. Guys,

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Speaker 1: thanks so much for joining us, Thanks for having us on. Hey, Andrew,

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Speaker 1: we'll start with you. I think this is a super

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Speaker 1: interesting development in the way kind of the Supreme Court

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Speaker 1: looks at free speech and whether or not the Wisconsin

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Speaker 1: state libs can target Christian organizations. Now, in your sense, right,

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Speaker 1: the whole point is to help people, and whether or

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Speaker 1: not you know your Catholic symbol or cross symbol or

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Speaker 1: any religious symbol is affiliated with the charities. The whole

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Speaker 1: point is that it's a charity helping people. How weird

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Speaker 1: is this kind of decision by the Wisconsin Supreme Court.

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Speaker 2: Absolutely, this is completely odd. But this is exactly why

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Speaker 2: the race that's going on in Wisconsin is exactly so

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Speaker 2: important in this moment. The next thing they're going to

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Speaker 2: say is that the pope is just to secular motivational speaker.

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Speaker 3: This is a.

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Speaker 2: Dangerous path, as somebody who comes from a domer family,

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Speaker 2: you know, the University of Notre Dame better watch out

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Speaker 2: because if Catholic charitys is not Catholic, they're going to

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Speaker 2: have to get a rebrand that says the secular University

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Speaker 2: of South Bend. And like I said, that's not something

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Speaker 2: we want to see. It's very dangerous.

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Speaker 1: Yeah, and it'll be really interesting. Arguments were heard in

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Speaker 1: front of the Supreme Court today. It seemed like the

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Speaker 1: justices were leaning like, hey, yeah, you can't do this,

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Speaker 1: and it feels like you're targeting Christian organizations, which, Anthony's

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Speaker 1: what I'd love to ask you about. Kind of this

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Speaker 1: whole idea stems from a bunch of the Libs saying, well,

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Speaker 1: we need to get rid of religion. And Christianity specifically

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Speaker 1: in modern culture. Obviously there's pushback from the religious folks

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Speaker 1: out there, but at the same time, you know, they're

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Speaker 1: making headway in so many different ways. What do we

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Speaker 1: have to do to make sure we can maintain a

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Speaker 1: Judeo Christian value based society.

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Speaker 4: Well, the only way to maintain any type of Jujao

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Speaker 4: Christian value system is by being people that are involved

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Speaker 4: in the communities. Because what the left does they take

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Speaker 4: everything that they don't want, they rebrand it, redefine it,

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Speaker 4: and then try to push it with every kind of

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Speaker 4: resource behind it so that people not have to accept it,

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Speaker 4: because if you don't, you lose funding. If you don't,

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Speaker 4: you lose this nothing. This isn't the first time in

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Speaker 4: history that the church has been under attack and it's

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Speaker 4: still standing. These are the things that Christ told us

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Speaker 4: about when he said we're going to be facing persecution.

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Speaker 4: I really want to see now that they're attacking the

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Speaker 4: Catholic Church, if they're going to go as far as

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Speaker 4: to telling Black churches that that's not church service, it's

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Speaker 4: just cookouts and impeuse. We'll see what happens next. But overall,

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Speaker 4: the big thing that you see here is the church.

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Speaker 4: It shows that the church is pivotal in the communities

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Speaker 4: and how young people, how adults, and how families are shaped,

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Speaker 4: and not actually make a community that actually can withstand

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Speaker 4: all of the pushback that they're getting.

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Speaker 1: Now, yeah, that's a great point. I'd love for them

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Speaker 1: to go and do a Southern Black church and be like, hey,

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Speaker 1: you guys are not actually religious enough, which the response

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Speaker 1: would be like, oh, okay, we'll be more religious. I guess, like,

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Speaker 1: what do you want from us to do? So it's fascinating.

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Speaker 1: One of the other plans that the Libs used to

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Speaker 1: degrade society is this. Elon was at a rally in

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Speaker 1: Wisconsin talking about the same Wisconsin Supreme Court but an

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Speaker 1: election coming up that I'm sure everybody here already knows about.

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Speaker 1: But at that event he uncovered this, which I thought

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Speaker 1: was fascinating, regarding illegals getting Social Security numbers. Go ahead

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Speaker 1: and play this clip.

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Speaker 5: When we saw these numbers, we're like, what is this?

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Speaker 5: In twenty one you see two hundred and seventy thousand

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Speaker 5: people goes all the way to two point one million

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Speaker 5: and twenty four These are non citizens that are getting

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Speaker 5: social rate numbers.

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Speaker 6: Yeah, this is a mind blowing charge.

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Speaker 5: Yeah, just this, this literally blew us away, Like we

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Speaker 5: went there to find fraud and we found this by accident.

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Speaker 5: And this isn't political. By the way, my parents' immigrants, Yeah,

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Speaker 5: this has been great to us. My brother's sister all

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Speaker 5: born in Spain. I'm pro legal immigration. This is not

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Speaker 5: this is not political. Now, this is not political. This

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Speaker 5: is about America and the future of America.

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Speaker 1: Wow. So two point one million illegals got social Security

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Speaker 1: numbers just last year. But that that's so weird. I

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Speaker 1: feel like all the lips have been saying no, that

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Speaker 1: that's not happening. They're not getting driver's licenses or social

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Speaker 1: Security numbers or registering to vote Adrian. You know, at

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Speaker 1: what point do do the average American people kind of recognize, Hey,

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Speaker 1: this this has been going on a long time. They've

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Speaker 1: they said this is not going to happen, and then

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Speaker 1: it happens. They said it's not going to happen, and

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Speaker 1: then it happens. At what point do American people recognize

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Speaker 1: that and start saying, hey, you know, maybe maybe we

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Speaker 1: shouldn't be giving illegals social Security numbers.

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Speaker 7: Yeah.

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Speaker 2: I think that time is now and this is giving

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Speaker 2: social insecurity. If I'm going to be honest with you,

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Speaker 2: this is, in my opinion, diluting the American dream. Okay,

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Speaker 2: the American dream was built on hard work and success

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Speaker 2: and a legal pathway to do so, so it should

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Speaker 2: be insulting to all the Americans out there.

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Speaker 1: Yeah, it's interesting too. I remember last week on Brett

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Speaker 1: Behar's interview with Elon Musk and a bunch of his

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Speaker 1: DOGE team, they were saying, like forty percent of calls

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Speaker 1: into the Social Security Office are fraudulent or people trying

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Speaker 1: to steal Social Security numbers. So I don't understand the

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Speaker 1: idea that making Social Security more efficient is bad for

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Speaker 1: America in some way, shape or form. Anthony, So, in California,

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Speaker 1: registering to vote, you pretty much just need an address.

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Speaker 1: Actually you don't even need an address and a Social

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Speaker 1: Security number, which you also don't technically need in an

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Speaker 1: optional section when you registered to vote in the state

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Speaker 1: of California. How many of these people that got in

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Speaker 1: the country illegally and then social Security numbers specifically from

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Speaker 1: the Biden administration again two point one million just last

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Speaker 1: year do we think are actually in the voting system?

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Speaker 1: What I think I'm saying, is there's no way the

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Speaker 1: number is zero.

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Speaker 4: Right, Oh, it's definitely not zero. But I go even

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Speaker 4: further to say that even if it's just one voter

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Speaker 4: that's taking social Security illegally, one is how it starts

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Speaker 4: to now open the floodgates for everyone else to now

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Speaker 4: start getting on the train that now starts breaking the system.

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Speaker 4: I think President Trump said it in his debate when

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Speaker 4: Biden was saying like, oh, we're going to get everyone

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Speaker 4: on Social Security, and he was just like, yeah, he

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Speaker 4: beats social Security.

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Speaker 1: He beat it to death.

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Speaker 4: It doesn't mean anything. You have Americans that can't get

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Speaker 4: the paychecks that they need through Social Security because you

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Speaker 4: have an influx of people that are on it. And

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Speaker 4: the only reason that people brought people on there to

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Speaker 4: get on Social Security was to secure the election. And

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Speaker 4: it wasn't until the Supreme Court came out and last

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Speaker 4: summer and said, if you are not a citizen, it

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Speaker 4: is illegal for you to vote in our elections. That's

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Speaker 4: when everyone started campaigning, and that's when the trail started

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Speaker 4: shifting because now they couldn't rely on all the people

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Speaker 4: that they overloaded in sanctuary cities, that they put in

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Speaker 4: all the charity centers and community centers and inner cities

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Speaker 4: and all the pieces like New York City of all

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Speaker 4: where Mayor Adams came out and said, we don't have

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Speaker 4: the money to actually support everyone that's here. So it's

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Speaker 4: proven that it's not there and two point one million people.

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Speaker 4: It's just like that's just the tip of the iceberg

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Speaker 4: that they found, and like you heard it there. It's

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Speaker 4: like we stumbled on this by accident, but we're glad

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Speaker 4: that we found it. And so it was one of

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Speaker 4: those things that was swept under the rug until when

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Speaker 4: people opened the room that they actually had to start

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Speaker 4: cleaning out. They couldn't walk around it because they kept

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Speaker 4: tripping over it. And now it's out and exposed. So

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Speaker 4: now it's finally being dealt with and taken care of.

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Speaker 1: Yeah, and it's this kind of comes back on the

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Speaker 1: heels of that New York Supreme Court state ruling that said, well, no, no,

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Speaker 1: you can't. You have to be a citizen to vote

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Speaker 1: in New York City, because New York City was trying

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Speaker 1: to make it that anybody can vote in their election

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Speaker 1: so long as they lived in New York. Adrian Gray

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Speaker 1: Anthony Watson will be back to talk more news of

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Speaker 1: the day in just a little bit, including that story

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Speaker 1: about a toddler getting suspended from a UK nursery, which

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Speaker 1: is crazy. Also, we're gonna check in with White House

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Speaker 1: Cheat or White House News correspondent Monica Paid at the

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Speaker 1: White House. Don't go away, We'll be right back after this.

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Speaker 1: Welcome back to Turning Point tonight. We're together. We are

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Speaker 1: charting the course of America's cultural comeback. My name is

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Speaker 1: job Bob. Thanks so much for sticking with us. Right

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Speaker 1: now it is time to check in with Turning Points

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Speaker 1: White House correspondent Monica Page at the White House. Monica,

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Speaker 1: thanks for joining us.

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Speaker 8: Thanks so much for having me. Joe Bob as always

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Speaker 8: always left coming on.

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Speaker 1: So the tariff talk has been a huge topic of

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Speaker 1: conversation throughout the entire administration. Now there's big tariff set

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Speaker 1: to happen tomorrow or the day afterward. Actually, let let

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Speaker 1: our viewers know why it's not Tomorrow's specifically April first.

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Speaker 8: Well, hello from a very windy White House here right

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Speaker 8: outside of the Oval Office, where there is a marine

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Speaker 8: standing right outside, which means President Trump is in there.

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Speaker 8: He has been in there all morning, all afternoon, he's

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Speaker 8: getting ready for April second. Now you mentioned it's not

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Speaker 8: going to be April first. Now, President Trump said it

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Speaker 8: himself explicitly. He didn't want it to be on April first,

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Speaker 8: and via this announcement of these tariffs, because he didn't

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Speaker 8: want people to think it'd be an April fool's joke.

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Speaker 9: That is exactly what he said just a couple.

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Speaker 8: Months ago when he was kind of previewing the tariffs

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Speaker 8: were coming at some point within this administration, within the

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Speaker 8: first two hundred days of his administration. So it will

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Speaker 8: be on April second. He's also dubbed it as Liberation Day,

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Speaker 8: where we are going to be having more opportunities to

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Speaker 8: invest in America. And President Trump's blueprint has really been

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Speaker 8: simple when it comes to these tariffs. If you invest

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Speaker 8: in foreign countries, do you invest in a country that's

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Speaker 8: not America, it's going to cost a little bit more.

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Speaker 8: But if you invest here in the United States, the

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Speaker 8: President is giving a little bit more incentive for you

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Speaker 8: to do that through deregulations, through making things a little

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Speaker 8: bit cheaper made in America. You want to support the

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Speaker 8: country that you're living in. So I mean, these are

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Speaker 8: all positive things. No matter which way the media really

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Speaker 8: tries to spend it.

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Speaker 1: Yeah, it's fascinating to see. And I wonder too, we've

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Speaker 1: seen a lot of these tarifs kind of get pushed

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Speaker 1: to a later date. It kind of sounds like that's

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Speaker 1: not going to happen here. And also the whole tariff

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Speaker 1: conversation is made and some interesting bedfellows. The United Auto

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Speaker 1: Workers Union came out, who historically has not supported conservatives

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Speaker 1: at all. Can you kind of talk about how the

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Speaker 1: administration is kind of either either welcoming these new factions

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Speaker 1: or how are they handling that?

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Speaker 8: Sure, brevent Trump welcoming this with open arms. It's very interesting.

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Speaker 8: The United Auto Workers CEO Sean Fain came out and

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Speaker 8: in support of these tariffs.

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Speaker 9: It's a very good thing.

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Speaker 8: It's giving these companies initiative to invest and grow in

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Speaker 8: the United States. And god forbid, if something were to

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Speaker 8: hit the fan here in the United States, we could

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Speaker 8: rely on our own supply, our own resources in order

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Speaker 8: to keep things afloat, instead of relying on places like

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Speaker 8: China and relying on places overseas for maybe our resources

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Speaker 8: to make these cars or for cars in general. Because

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Speaker 8: the auto sector is huge when it comes to these

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Speaker 8: tariffs as well. So this will give so many opportunities

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Speaker 8: here small businesses as well, an opportunity to really succeed

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Speaker 8: and thrive.

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Speaker 3: Tax cuts.

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Speaker 8: The President has also been pushing here in the United

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Speaker 8: States if you want to start your business here, or

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Speaker 8: if you even want to grow in your business here

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Speaker 8: in the United States, so you don't. You not only

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Speaker 8: have the auto sector, but you have plenty of other

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Speaker 8: industries here in the United States. I was reading a

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Speaker 8: New York Post article Justice Afternoon regarding the fashion industry

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Speaker 8: and how a lot of our clothes are made cheaply

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Speaker 8: overseas because she and through timu no more of that.

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Speaker 8: Everything should be home, grow more, better, better for jobs,

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Speaker 8: better for our own economy, and really just boosting the

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Speaker 8: domestic growth itself.

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Speaker 1: Yeah, and also, people i think recognized to the products

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Speaker 1: made outside of the country. They're shipped and are usually crap.

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Speaker 1: They fall apart your close rip. It's just as garbage.

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Speaker 1: American made things are just just better in general. So

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Speaker 1: that's that'll be really interesting to see, you know, who

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Speaker 1: gets brought into the fold of Mega America with these tariffs.

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Speaker 1: And you know, obviously we'll probably talk about this more

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Speaker 1: as the we continues. Monica Page turning points, White House Correspondent,

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Speaker 1: thanks so much for joining us. Really appreciate it.

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Speaker 8: Thanks so much, Joebob, and definitely keep an eye on

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Speaker 8: for April second, President Trump making this big announcement from

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Speaker 8: the Rose Garden right here at the White House. We'll

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Speaker 8: be sure to share with you some of that important

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Speaker 8: news and definitely going to be a big day for

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Speaker 8: the country.

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Speaker 1: Not an April fool's joke. Monica. Thanks, Yes, it'll be

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Speaker 1: really interesting to see how those tariffs that are going

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Speaker 1: to be coming out over the course of this week

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Speaker 1: actually affect really everything that's going on. We'll obviously check

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Speaker 1: in with Monica as often as we can. You know,

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Speaker 1: this story I thought was fascinating. This is not happening

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Speaker 1: in the United States yet, and that is the problem.

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Speaker 1: You have a bunch of libs across the planet really

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Speaker 1: trying to force nonsense down everyone's throat, and that nonsense

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Speaker 1: well manifests itself in ways like this. A toddler, someone

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Speaker 1: aged two to three whose identity is specifically being withheld

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Speaker 1: for privacy reasons, which I totally understand, was expelled from

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Speaker 1: a nursery school in the UK. For the inability to

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Speaker 1: believe a transgender person is actually real male or female

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Speaker 1: according to the parents. Let's bring our panel back in

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Speaker 1: to discuss this. Adrian Gray and Anthony Watson are here

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Speaker 1: to talk with us. So this, I mean, at a

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Speaker 1: certain point, ridiculous becomes so ridiculous that it's it's I

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Speaker 1: don't want to say even almost funny, because that's my

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Speaker 1: natural inclination. But this is just just crazy. It's maddening

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Speaker 1: that a toddler, by the way, I have a toddler.

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Speaker 1: She don't know what anything is and well, actually, let

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Speaker 1: me let me rephrase that she knows what is and

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Speaker 1: doesn't have the capacity to understand what isn't. In other words,

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Speaker 1: if she sees a boy, she says boy. She sees

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Speaker 1: a girl, she says girl. Uh, Adriane, this is a

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Speaker 1: this is a level that I didn't know people could

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Speaker 1: sink to having a toddler being expelled from a school

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Speaker 1: because they weren't accepting of gender inclusivity.

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Speaker 2: Yeah, this is wild. As a boy mom myself, obviously

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Speaker 2: this struck a chord with me. But it's like peekaboo,

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Speaker 2: you're canceled. These kids should be focusing on learning the

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Speaker 2: ABC's not the lgbt Q A plus alphabet. You know,

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Speaker 2: we're supposed to be prioritizing these things, learning colors, counting,

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Speaker 2: But these butt hurt liberals are obsessed with transphobia. It's

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Speaker 2: their new hill that they're dying on, you know. But

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Speaker 2: children should be focused on playing with play though, and

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Speaker 2: not having these adults molding their young minds to fit

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Speaker 2: their ideologies and narrative. It's sick and they're obsessed.

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Speaker 1: I wonder, I wonder if in lib families they sing

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Speaker 1: lgbt Q I A two plus four six G twelve Z.

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Speaker 1: I don't know. I don't know the rest of the worlds.

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Speaker 1: That's the acronym is too long. But Anthony, your thoughts

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Speaker 1: again being around so you're you're around a lot of

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Speaker 1: students at turning Point students, which is which is fantastic,

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Speaker 1: But even at you know, some of these kids in

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Speaker 1: like YR even your elementary schools don't even understand the concept.

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Speaker 1: What does this mean to do this to a.

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Speaker 4: Toddler, oh Man, Because every toddler carefully crafts their socio

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Speaker 4: political ideologies between snack time and nap time. X. You're

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Speaker 4: gonna read out of the UK breaking news preschooler gets

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Speaker 4: expelled for insider trading with apple sauce. What you're seeing

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Speaker 4: right here is a well crafted attack on the family,

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Speaker 4: because now what this does is it forces parents like

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Speaker 4: yourselves to now garnish your child behind closed doors, to

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Speaker 4: be like, now, if you want to go to school,

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Speaker 4: you have to make sure that if Tommy says he's

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Speaker 4: a girl.

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Speaker 1: You have to call him she.

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Speaker 4: And what that happens now is that, like you know,

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Speaker 4: it puts pressure on the parents at home because now

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Speaker 4: their child may get kicked out of school, any school

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Speaker 4: that they want to enroller it into, that's going to

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Speaker 4: be on their record as some sort of crime. When

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Speaker 4: a kid literally at that young age doesn't know the

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Speaker 4: difference because there is no difference. It's male or female,

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Speaker 4: it's xx or x y, and it shouldn't be anything else.

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Speaker 4: All this LGBTQ plus ia the gaybc's whatever you want.

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Speaker 4: I want to mix this Molotov cocktail of frustration of

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Speaker 4: I ain't sipping.

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Speaker 1: The kool aid.

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Speaker 4: And so everybody else is now trying to play the

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Speaker 4: game just for societal pressures that literally in the end

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Speaker 4: start breaking the family apart, which is why you see

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Speaker 4: a bunch of teenagers and young adults now separated from

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Speaker 4: their family because of the peer pressure they get at

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Speaker 4: school because their home foundation isn't secure. You know, by

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Speaker 4: all means and by every means necessary, parents need to

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Speaker 4: now start at any cost, taking charge to make sure

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Speaker 4: that their kids are raised right.

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Speaker 1: It's not about growing up.

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Speaker 4: Growing up is when you take the influence from wherever

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Speaker 4: you find it relatable, even if it's bad for you.

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Speaker 4: But when you're raised, that's when you're parents, through all

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Speaker 4: the adversity, through all the challenges, through all the trials,

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Speaker 4: teach you the things that inevitably become a part of

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Speaker 4: your DNA that you don't change from it. And if it's

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Speaker 4: happening there, everyone over here is like, well, that'll never

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Speaker 4: happen here. But in certain ways it is. Look at

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Speaker 4: all the stories that happen with all the people in

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Speaker 4: daycares that were dressing up these little boys in dresses

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Speaker 4: just because they felt like trying them on, and they

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Speaker 4: didn't do it. When the parents came in and said,

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Speaker 4: don't you dare put my son in a dress. I

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Speaker 4: don't care what he said, I don't want that. And

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Speaker 4: if you do that again, this is what's gonna happen

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Speaker 4: to you and it needs to be more of that.

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Speaker 1: Yeah, yeah, you mentioned throwing a Molotov cocktail into reality.

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Speaker 1: Speaking of Molotov cocktails and the type of person that

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Speaker 1: would want the whole trans gender ideology crap put in schools,

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Speaker 1: are all the people that are probably attacking all of

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Speaker 1: these institutions that we have here in the States. A

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Speaker 1: GOP office in Albuquerque, New Mexico, was firebombed with a

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Speaker 1: Molotov cocktail over the weekend, and also Tesla showrooms continue

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Speaker 1: to see attack after attack after attack. Now, I really

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Speaker 1: don't want to make light about this because this is

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Speaker 1: in my opinion and in the opinion of the Attorney

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Speaker 1: General domestic terrorism, but I did want to show this

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Speaker 1: clip from a protest outside of a Tesla showroom. Anthony specifically,

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Speaker 1: I'd like you to watch, take notes, and then we'll

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Speaker 1: ask for your assessment after this. Watch this. No way

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Speaker 1: that Elon Musk can stand the power of a coordinated dance.

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Speaker 1: I also liked I didn't see this the first time

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Speaker 1: watching this, but the lady with literally the swashtika on

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Speaker 1: a sign doing the electric slide. Yeah, man, I wonder

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Speaker 1: if the allies had just done that, maybe we wouldn't

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Speaker 1: have needed to storm the beaches in Normandy. We could

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Speaker 1: have just danced the Germans out of France. Holy cow. Well, Anthony,

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Speaker 1: first of all, why do libs always have to resort

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Speaker 1: to dance battles? And two? As a dancer yourself, can

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Speaker 1: you can you critique their dance moves?

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Speaker 4: Well, I won't even I won't even desecrate the legacy

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Speaker 4: of the electric slide with that. That's the swastika shopper,

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Speaker 4: we'll call it. But what you see here is a

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Speaker 4: group of oxymorons that don't know the difference between reality

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Speaker 4: and what's fake. Because these are the same people that

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Speaker 4: were protesting for the Green New Deal and getting rid

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Speaker 4: of carbon emissions. And here came Tesla, and here they

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Speaker 4: are protesting in front of a Tesla shop. But yet,

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Speaker 4: if all of these green you know, like weed smoking hippies,

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Speaker 4: actually took a step into reality to actually see the

433
00:22:11,080 --> 00:22:14,439
Speaker 4: damage that one lithium battery can cause to hundreds of

434
00:22:14,480 --> 00:22:17,439
Speaker 4: acres of greenland around them, they wouldn't be supporting in

435
00:22:17,480 --> 00:22:19,520
Speaker 4: the first place. And these are the same people that

436
00:22:19,560 --> 00:22:23,560
Speaker 4: march for Palestine. And then you know, like they're saying

437
00:22:23,600 --> 00:22:26,400
Speaker 4: that Elon Musk is a Nazi. But if he's a Nazi,

438
00:22:26,480 --> 00:22:28,720
Speaker 4: shouldn't they be hand in hand as allies since they're

439
00:22:28,760 --> 00:22:31,280
Speaker 4: all against Israel? Right now, these are things that most

440
00:22:31,320 --> 00:22:33,720
Speaker 4: people don't really think about that actually end debates. And

441
00:22:33,840 --> 00:22:36,159
Speaker 4: you know, when you can't win over with words, you

442
00:22:36,240 --> 00:22:37,600
Speaker 4: win them over with your dance moves.

443
00:22:37,960 --> 00:22:41,159
Speaker 1: Yeah, maybe maybe, Adrian, in my thirty seconds I got

444
00:22:41,240 --> 00:22:44,399
Speaker 1: left here. Should conservatives take to the dance floor to

445
00:22:44,560 --> 00:22:47,640
Speaker 1: combat they woke ideology of the Libs? Is that gonna?

446
00:22:47,800 --> 00:22:49,280
Speaker 1: Is that gonna work out well in our favor?

447
00:22:50,440 --> 00:22:52,679
Speaker 2: I don't think so. I think we're just better at

448
00:22:52,720 --> 00:22:57,680
Speaker 2: winning debates and winning elections. But what Anthony said is

449
00:22:57,720 --> 00:23:00,000
Speaker 2: exactly right. And if I could just point out that

450
00:23:00,400 --> 00:23:03,159
Speaker 2: blowing up an evy battery is about the dumbest thing

451
00:23:03,200 --> 00:23:05,480
Speaker 2: you could do on Earth if you are for the environment,

452
00:23:05,520 --> 00:23:07,840
Speaker 2: we've learned how toxic that actually is.

453
00:23:08,680 --> 00:23:11,600
Speaker 1: Yeah, that's the irony there is lost on them, But again,

454
00:23:11,720 --> 00:23:15,040
Speaker 1: so is reality. Adrian Gray, Anthony Watson, thank you guys

455
00:23:15,080 --> 00:23:17,200
Speaker 1: so much for joining us today here in turning point tonight.

456
00:23:17,240 --> 00:23:18,879
Speaker 1: We'll have you back as soon as we can. Thank you,

457
00:23:19,440 --> 00:23:23,080
Speaker 1: Thank you, thank you. Awesome Hey. Coming up here on

458
00:23:23,119 --> 00:23:25,320
Speaker 1: Turning Points tonight, We've got an awesome clip from Turning

459
00:23:25,320 --> 00:23:29,280
Speaker 1: Point and Alex Clark's Culture Apothecary podcast, as well as

460
00:23:29,359 --> 00:23:31,680
Speaker 1: Maga Monday coming up right after that. Don't go away,

461
00:23:31,720 --> 00:23:32,840
Speaker 1: We'll be right back after this.

462
00:23:42,160 --> 00:23:45,400
Speaker 10: What did you find, as a holistic veterinarian that owners

463
00:23:45,520 --> 00:23:49,200
Speaker 10: are doing on average to help their dogs live longer.

464
00:23:49,200 --> 00:23:50,440
Speaker 10: I mean, you brought up the diet and things, but

465
00:23:50,800 --> 00:23:53,640
Speaker 10: were there specific things like, oh, these dogs were really

466
00:23:53,720 --> 00:23:55,560
Speaker 10: high and like they ate a lot of beef or

467
00:23:55,800 --> 00:23:58,320
Speaker 10: chicken was really good for them, or always filtered water

468
00:23:58,640 --> 00:23:59,320
Speaker 10: or things like that.

469
00:23:59,560 --> 00:24:02,359
Speaker 3: So Bobby situation, and in fact, all of the dogs

470
00:24:02,400 --> 00:24:04,560
Speaker 3: in the Forever Dog book that Rodney interviewed, all of

471
00:24:04,600 --> 00:24:08,480
Speaker 3: those dogs were eating some fresh food, meaning human foods

472
00:24:08,720 --> 00:24:12,240
Speaker 3: that their owners were giving to them from the fridge,

473
00:24:12,440 --> 00:24:14,639
Speaker 3: not necessarily from the table, because you know, we're not

474
00:24:14,640 --> 00:24:17,160
Speaker 3: trying to create a bunch of begging dogs. But every

475
00:24:17,160 --> 00:24:20,439
Speaker 3: single dog that we researched, they had the ability to

476
00:24:20,480 --> 00:24:24,320
Speaker 3: consume fresh fruits, veggies, and fresh meats. In Bobby's situation,

477
00:24:24,920 --> 00:24:29,399
Speaker 3: he consumes fish almost daily. One of his meals is

478
00:24:29,640 --> 00:24:32,720
Speaker 3: very high dhaepa, and we know that dogs need a

479
00:24:32,760 --> 00:24:35,040
Speaker 3: lot of those long chain and Mega three fatty acids,

480
00:24:35,280 --> 00:24:37,080
Speaker 3: not just for a good skin and coat, but to

481
00:24:37,160 --> 00:24:41,440
Speaker 3: manage inflammation. And what's frustrating is that pet foods in

482
00:24:41,640 --> 00:24:45,360
Speaker 3: North America, they're not required to add DHA and EPA

483
00:24:45,600 --> 00:24:49,560
Speaker 3: to the food, So most dogs eating commercially available KIBBL

484
00:24:49,680 --> 00:24:51,840
Speaker 3: are a Mega three fatty acid deficient, and then that

485
00:24:51,880 --> 00:24:55,800
Speaker 3: plays into inflammation and immune health as well long term.

486
00:24:55,840 --> 00:24:58,320
Speaker 3: So yeah, I think that many of these dogs that

487
00:24:58,359 --> 00:25:02,200
Speaker 3: we looked at were eating fresh food diets that we're

488
00:25:02,280 --> 00:25:05,639
Speaker 3: low in complex carbohydrates, so not a lot of corn,

489
00:25:05,640 --> 00:25:08,800
Speaker 3: wheat rice. You know, dogs are scavenging carnivores and cats

490
00:25:08,800 --> 00:25:12,639
Speaker 3: are obligate carnivores, so their primary mainstay of their diets

491
00:25:12,880 --> 00:25:14,440
Speaker 3: are meat and clean meat.

492
00:25:14,560 --> 00:25:16,560
Speaker 10: Is the reason we're putting so much grain and corn

493
00:25:16,640 --> 00:25:19,439
Speaker 10: into conventional pet food in America is because we have

494
00:25:19,560 --> 00:25:21,919
Speaker 10: these subsidized crops and all this extra stuff we have

495
00:25:21,960 --> 00:25:22,680
Speaker 10: to put it somewhere.

496
00:25:22,800 --> 00:25:24,720
Speaker 9: Yeah, So it's interesting to me because like.

497
00:25:24,640 --> 00:25:27,560
Speaker 10: When I hear you talk about what is wrong the

498
00:25:27,600 --> 00:25:30,080
Speaker 10: pet food industry, so much of it to me mirror

499
00:25:30,080 --> 00:25:32,000
Speaker 10: is like what we talk about in the Maha movement.

500
00:25:32,040 --> 00:25:34,400
Speaker 10: You know the Make America Healthy Again movement for humans,

501
00:25:34,640 --> 00:25:36,400
Speaker 10: like we need to get these chemicals out of.

502
00:25:36,320 --> 00:25:38,919
Speaker 9: Our food, no more ultra processed food, et cetera.

503
00:25:39,200 --> 00:25:41,240
Speaker 10: So would you say we almost need like an arm

504
00:25:41,320 --> 00:25:42,920
Speaker 10: of maha for pets.

505
00:25:43,160 --> 00:25:47,119
Speaker 3: We absolutely need to be thinking about why our dogs

506
00:25:47,160 --> 00:25:51,919
Speaker 3: and cats are dyeing of chronic degenitive diseases at epidemic levels.

507
00:25:52,000 --> 00:25:54,720
Speaker 3: Dogs and cats are no longer dying of infectious diseases

508
00:25:54,760 --> 00:25:57,320
Speaker 3: where you know, we're not having these plagues like Parva

509
00:25:57,320 --> 00:26:00,600
Speaker 3: doesn't wipe out millions of dogs anymore, thank goodness. The

510
00:26:00,680 --> 00:26:03,520
Speaker 3: downside is the number one cause of death for dogs

511
00:26:03,560 --> 00:26:07,360
Speaker 3: in America cancer degenitive diseases. Right, We're seeing more allergies,

512
00:26:07,400 --> 00:26:10,479
Speaker 3: autommune disease, organ failure, cancer than ever before.

513
00:26:10,560 --> 00:26:13,520
Speaker 10: Okay, now, see this is juicy because how is it

514
00:26:13,600 --> 00:26:17,719
Speaker 10: that that is happening identical the chronic disease crisis exploding

515
00:26:17,760 --> 00:26:20,840
Speaker 10: with human Americans And it's also at the same time

516
00:26:20,880 --> 00:26:22,480
Speaker 10: you're saying exploding for pets.

517
00:26:22,760 --> 00:26:24,000
Speaker 1: Yes, it's the food.

518
00:26:24,320 --> 00:26:28,160
Speaker 3: It's the food, absolutely and even one step more horrible.

519
00:26:28,359 --> 00:26:31,359
Speaker 3: You talk a lot about why humans effect Every pediatrition,

520
00:26:31,480 --> 00:26:34,200
Speaker 3: every doctor, every common sense human knows that we should

521
00:26:34,240 --> 00:26:38,040
Speaker 3: be minimizing our consumption of ultra process foods. Veterinarians around

522
00:26:38,080 --> 00:26:40,399
Speaker 3: the world are the last group of health and wellness

523
00:26:40,480 --> 00:26:45,080
Speaker 3: professionals still advocating that the only thing we should be

524
00:26:45,119 --> 00:26:49,600
Speaker 3: feeding conventional Veterinarians are recommending only feeding ultra process foods

525
00:26:49,640 --> 00:26:54,200
Speaker 3: from birth till death. Veterinarians are beautiful humans with amazing hearts,

526
00:26:54,880 --> 00:26:58,600
Speaker 3: and they have gone to veterinary school, just like young

527
00:26:58,680 --> 00:27:01,879
Speaker 3: kids going to medical school, and they are taught that

528
00:27:02,000 --> 00:27:05,879
Speaker 3: the only safe food that has been nutritionally complete and

529
00:27:05,960 --> 00:27:09,080
Speaker 3: balanced for dogs and cats is ultra process food And

530
00:27:09,119 --> 00:27:12,760
Speaker 3: so they're just coming out of veterinary school as brand

531
00:27:12,800 --> 00:27:16,679
Speaker 3: new doctors and parroting what they were taught in school,

532
00:27:16,760 --> 00:27:18,920
Speaker 3: which is I don't know about homemade diets or fresh

533
00:27:18,920 --> 00:27:21,679
Speaker 3: food diets or raw meat diets, and I didn't learn

534
00:27:21,760 --> 00:27:24,359
Speaker 3: about that in school. I think we should just stick

535
00:27:24,400 --> 00:27:27,159
Speaker 3: with feeding ultra process foods from birth to death. So

536
00:27:27,359 --> 00:27:30,640
Speaker 3: there is, thankfully, in the last fifteen years, a growing

537
00:27:30,720 --> 00:27:33,840
Speaker 3: movement of wise, open minded veterinarians that are like, this

538
00:27:33,880 --> 00:27:35,760
Speaker 3: does not make sense for my body. This doesn't make

539
00:27:35,800 --> 00:27:38,240
Speaker 3: sense for my family's body. And now that I think

540
00:27:38,280 --> 00:27:41,000
Speaker 3: about it, it doesn't make sense for my patients. But

541
00:27:41,040 --> 00:27:43,479
Speaker 3: those are veterinarians that are evolving and learning and applying

542
00:27:43,520 --> 00:27:47,280
Speaker 3: what they learned after veterinary school. In the US there

543
00:27:47,280 --> 00:27:50,520
Speaker 3: are thirty three vet schools, all of them sponsored by

544
00:27:50,560 --> 00:27:51,680
Speaker 3: big kibble companies.

545
00:27:51,920 --> 00:27:56,919
Speaker 10: It's like exactly with human food, exactly the same in

546
00:27:56,960 --> 00:27:57,760
Speaker 10: an area, if.

547
00:27:57,680 --> 00:28:01,359
Speaker 3: Big Pharma we're sponsoring medical school school of pharmacology class. That

548
00:28:01,440 --> 00:28:03,159
Speaker 3: is a direct conflict of interest.

549
00:28:03,280 --> 00:28:05,120
Speaker 9: Oh, it is all this is happening.

550
00:28:05,280 --> 00:28:08,480
Speaker 3: And in veterinary schools, every single vet school is sponsored

551
00:28:08,480 --> 00:28:12,040
Speaker 3: by Purina or a Mars company, you know, a science diet.

552
00:28:12,119 --> 00:28:16,040
Speaker 3: They're sponsored by an ultra process pet food company, and

553
00:28:16,160 --> 00:28:18,800
Speaker 3: of course there's a conflict of interest. Every single one

554
00:28:18,840 --> 00:28:21,639
Speaker 3: of those ultra process pet food companies do not produce

555
00:28:21,720 --> 00:28:24,959
Speaker 3: any fresh, human grade, species appropriate living food diets. They

556
00:28:24,960 --> 00:28:28,040
Speaker 3: don't make those foods. They're too expensive to produce. They're

557
00:28:28,200 --> 00:28:31,960
Speaker 3: marketing to our next generation of veterinarians. And certainly, thirty

558
00:28:32,040 --> 00:28:34,520
Speaker 3: years ago when I went to vet school, the only

559
00:28:34,720 --> 00:28:37,720
Speaker 3: category of foods that was discussed in my six month

560
00:28:37,800 --> 00:28:40,880
Speaker 3: nutrition course, which in some veterinary schools can be elective.

561
00:28:41,200 --> 00:28:43,760
Speaker 3: You can graduate as a veterinarian never taking any course

562
00:28:43,800 --> 00:28:46,840
Speaker 3: in small animal nutrition. So as vets graduate, they're brilliant

563
00:28:46,920 --> 00:28:50,440
Speaker 3: kids who don't know anything about food, and they certainly

564
00:28:50,480 --> 00:28:53,360
Speaker 3: don't know anything about biologically appropriate foods because it's not

565
00:28:53,400 --> 00:28:54,440
Speaker 3: being taught in schools.

566
00:28:54,560 --> 00:28:57,440
Speaker 9: What are biologically appropriate foods for dogs?

567
00:28:57,560 --> 00:29:00,800
Speaker 3: Dogs and cats do not have a carbohydrate require They

568
00:29:00,800 --> 00:29:05,880
Speaker 3: have a fiber requirement, but they don't need corn, rice, soy.

569
00:29:06,120 --> 00:29:09,240
Speaker 3: They don't need this abundance of starchy, high carb high

570
00:29:09,240 --> 00:29:13,920
Speaker 3: glycemic foods. And yet when you look at the volume

571
00:29:13,960 --> 00:29:16,480
Speaker 3: the amount of carbohydrates in the vast majority of pet

572
00:29:16,480 --> 00:29:20,160
Speaker 3: foods in the US, they are fifty percent carbs, sixty

573
00:29:20,200 --> 00:29:23,360
Speaker 3: percent carbs, seventy percent carbs. And then you wonder why

574
00:29:23,440 --> 00:29:26,440
Speaker 3: all of our dogs and cats are fat lethargic. They're

575
00:29:26,480 --> 00:29:29,120
Speaker 3: struggling with obesity. Over sixty percent of dogs and cats

576
00:29:29,120 --> 00:29:30,920
Speaker 3: in the US are struggling with weight issues.

577
00:29:31,080 --> 00:29:31,840
Speaker 9: You are kidding.

578
00:29:32,040 --> 00:29:35,760
Speaker 3: It mirrors the human obesity epidemic. Yes, I didn't know

579
00:29:35,800 --> 00:29:39,040
Speaker 3: it was that hogh It is over sixty percent. That

580
00:29:39,200 --> 00:29:45,080
Speaker 3: is absurd. The frustration is fresh living, biologically appropriate foods

581
00:29:45,120 --> 00:29:49,719
Speaker 3: with a significantly lower glycemic index lean meats would be

582
00:29:49,760 --> 00:29:52,920
Speaker 3: the appropriate thing to nourish our dogs and cats with. Now,

583
00:29:52,960 --> 00:29:54,440
Speaker 3: do we want to make sure that we're following a

584
00:29:54,480 --> 00:29:57,480
Speaker 3: recipe to make sure that we are meeting our pets

585
00:29:57,960 --> 00:30:03,520
Speaker 3: individual needs for trace minerals, nutrients you know, dhaepa, calcium phospors,

586
00:30:03,560 --> 00:30:08,520
Speaker 3: of course. But to assume that the entire veterinary industry

587
00:30:09,240 --> 00:30:13,240
Speaker 3: is saying that pet parents owners are incapable of nourishing

588
00:30:13,320 --> 00:30:17,320
Speaker 3: their dogs and cats themselves is really untrue and takes

589
00:30:17,320 --> 00:30:19,920
Speaker 3: away our ability to make good choices because we're relying

590
00:30:19,960 --> 00:30:21,680
Speaker 3: then on the pet food industry to tell us the

591
00:30:21,680 --> 00:30:23,120
Speaker 3: truth about the products that they're making.

592
00:30:23,480 --> 00:30:25,840
Speaker 9: Is all commercial pet food bad? No?

593
00:30:26,080 --> 00:30:29,400
Speaker 3: In fact, thankfully, in the last fifteen years, we have

594
00:30:29,560 --> 00:30:34,680
Speaker 3: this flood in of fresher foods that are made with

595
00:30:34,960 --> 00:30:39,400
Speaker 3: USDA inspected in past ingredients that are biologically appropriate for

596
00:30:39,480 --> 00:30:43,720
Speaker 3: dogs and cats. Now, are they significantly more expensive than

597
00:30:43,880 --> 00:30:47,520
Speaker 3: they're rendered inappropriate car based ultra process little kibbles that

598
00:30:47,560 --> 00:30:49,960
Speaker 3: we're used to feeding. Yeah, a lot more, because we're

599
00:30:50,000 --> 00:30:54,200
Speaker 3: going from terrible quality food to excellent quality food. Just

600
00:30:54,360 --> 00:30:58,480
Speaker 3: like why is it that organic apples costs three times

601
00:30:58,480 --> 00:31:02,800
Speaker 3: what terrible junk food cast. It's frustrating. So pet parents

602
00:31:02,840 --> 00:31:05,640
Speaker 3: are not used to looking at the price tag associated

603
00:31:05,720 --> 00:31:09,280
Speaker 3: with really good quality, human grade, biologically appropriate food. They're

604
00:31:09,320 --> 00:31:11,440
Speaker 3: not used to it, which is why homemade diets are

605
00:31:11,480 --> 00:31:15,800
Speaker 3: becoming so popular. Veterinarians are very anti homemade diets because

606
00:31:15,800 --> 00:31:18,120
Speaker 3: people guess on recipes and they guess wrong. That's one

607
00:31:18,120 --> 00:31:20,320
Speaker 3: of the reasons that we wrote a cookbook is we

608
00:31:20,360 --> 00:31:22,480
Speaker 3: wanted to be able to give people nutritionally complete and

609
00:31:22,480 --> 00:31:25,600
Speaker 3: balance and recipes that are biologically appropriate that your vet

610
00:31:25,640 --> 00:31:27,880
Speaker 3: can look at the entire nutrition analysis and say, okay,

611
00:31:28,280 --> 00:31:31,120
Speaker 3: you're meeting your pet's minimum nutritional requirement needs. And that's

612
00:31:31,160 --> 00:31:33,520
Speaker 3: a possibility. We don't want people to guess in the kitchen,

613
00:31:34,080 --> 00:31:36,520
Speaker 3: but we also want people to be able to relax.

614
00:31:37,400 --> 00:31:39,160
Speaker 3: And when you open up that fridge and you see

615
00:31:39,160 --> 00:31:42,160
Speaker 3: those dented blueberries, of course you can pop one to

616
00:31:42,280 --> 00:31:45,040
Speaker 3: your dog. If you're cutting off little pieces of meat

617
00:31:45,120 --> 00:31:47,200
Speaker 3: and you have a kitty they're begging for meat, of

618
00:31:47,200 --> 00:31:50,040
Speaker 3: course you can share your human grade leftovers with your

619
00:31:50,080 --> 00:31:53,440
Speaker 3: dogs and cats. The number of foods that are truly

620
00:31:53,640 --> 00:31:57,440
Speaker 3: toxic for dogs and cats are very few. No grapes

621
00:31:57,480 --> 00:32:03,160
Speaker 3: and raisins, no onions, no macadamianus. Now macadamias don't have

622
00:32:03,200 --> 00:32:05,280
Speaker 3: a specific toxing, but they're high and fat, so they

623
00:32:05,280 --> 00:32:08,520
Speaker 3: can cust some gi upset and chocolate. Yeah, don't feed

624
00:32:08,600 --> 00:32:10,800
Speaker 3: those things to your dogs and cats. Everything else in

625
00:32:10,880 --> 00:32:14,040
Speaker 3: moderation is a great idea, and that's one of the

626
00:32:14,040 --> 00:32:16,880
Speaker 3: things that I'm really passionate about is helping pet parents

627
00:32:17,360 --> 00:32:21,520
Speaker 3: relax and have way less anxiety about feeding their animals

628
00:32:21,560 --> 00:32:25,320
Speaker 3: fresher foods because they have to be given permission to

629
00:32:25,360 --> 00:32:27,640
Speaker 3: be able to do that. There's so much misinformation between

630
00:32:27,680 --> 00:32:32,120
Speaker 3: websites and conventionally trained veterinarians that literally people are stuck

631
00:32:32,160 --> 00:32:35,600
Speaker 3: in fear, not wanting to feed anything other than ultra

632
00:32:35,600 --> 00:32:37,520
Speaker 3: process food for an animal's whole life. And what that

633
00:32:37,600 --> 00:32:40,120
Speaker 3: just denies them is the ability to experience what real

634
00:32:40,160 --> 00:32:43,280
Speaker 3: living foods can do for the body.

635
00:32:47,720 --> 00:32:49,720
Speaker 1: Welcome back to turning point tonight. We're together. We are

636
00:32:49,800 --> 00:32:51,960
Speaker 1: charting the course of America's culturalill comeback. My name is

637
00:32:52,000 --> 00:32:55,000
Speaker 1: Joe Bob. Thank you so much for tuning in. So

638
00:32:55,760 --> 00:33:00,840
Speaker 1: we get so many emails and texts and Instagram, Facebook,

639
00:33:00,920 --> 00:33:04,719
Speaker 1: YouTube rumble comments that's sometimes difficult to go through, but

640
00:33:04,760 --> 00:33:08,600
Speaker 1: like I said, Glenn goes through every single comment message

641
00:33:08,920 --> 00:33:13,520
Speaker 1: anything of these literally several hundred thousand that we've gotten

642
00:33:14,080 --> 00:33:16,560
Speaker 1: in the course of the last couple of months. So

643
00:33:16,800 --> 00:33:19,440
Speaker 1: you can email us TPT at TPUSA dot com or

644
00:33:19,480 --> 00:33:23,440
Speaker 1: comment on Facebook YouTube wherever you're watching this, you should

645
00:33:23,440 --> 00:33:26,080
Speaker 1: be on the RAB website or x but you know

646
00:33:26,360 --> 00:33:29,320
Speaker 1: people watching different fashions, So anywhere you were looking at

647
00:33:29,440 --> 00:33:32,600
Speaker 1: US TPT at t BUSA dot com. You can email.

648
00:33:32,640 --> 00:33:34,880
Speaker 1: Whether you agree or whether you're wrong, doesn't matter. If

649
00:33:34,880 --> 00:33:37,480
Speaker 1: your emails disgusting and gross, there's a good chance we'll

650
00:33:37,480 --> 00:33:41,000
Speaker 1: actually read on the show. Today's email comes from Sorry,

651
00:33:41,000 --> 00:33:42,760
Speaker 1: I actually think this was a YouTube comment comes from

652
00:33:42,840 --> 00:33:47,000
Speaker 1: Denise saying, is AOC really the Democrats choice for the

653
00:33:47,040 --> 00:33:51,480
Speaker 1: next presidential election? She's been touring with Bernie drawing huge crowds.

654
00:33:51,640 --> 00:33:54,520
Speaker 1: Really question mark question mark question mark, question mark question mark,

655
00:33:54,720 --> 00:33:58,600
Speaker 1: and the question marks go on probably to infinity. To that,

656
00:33:58,760 --> 00:34:02,280
Speaker 1: I would say, gosh, I hope so. Not because I

657
00:34:02,280 --> 00:34:05,400
Speaker 1: think AOC has any good ideas. I don't think that.

658
00:34:05,760 --> 00:34:09,120
Speaker 1: What I think is if AOC were the actual presidential

659
00:34:09,160 --> 00:34:13,400
Speaker 1: candidate for the Democrat Party, whoever the conservative candidate was,

660
00:34:13,440 --> 00:34:17,399
Speaker 1: if it was it was a stool, they would probably win.

661
00:34:17,560 --> 00:34:20,719
Speaker 1: And that I think is good news for Conservatives. Now,

662
00:34:20,719 --> 00:34:24,200
Speaker 1: I don't necessarily want to us to underestimate the energy

663
00:34:24,320 --> 00:34:26,040
Speaker 1: in that movement, because if you haven't seen this, we

664
00:34:26,040 --> 00:34:28,840
Speaker 1: haven't really talked about it. A Ton Bernie and AOC

665
00:34:28,960 --> 00:34:32,640
Speaker 1: are pulling really big crowds in some really interesting places.

666
00:34:32,680 --> 00:34:36,000
Speaker 1: So we shouldn't just completely ignore it because there is

667
00:34:36,160 --> 00:34:39,480
Speaker 1: actual momentum there. But at the same time, considering the

668
00:34:39,600 --> 00:34:44,800
Speaker 1: policies of the far left versus even the center left,

669
00:34:44,880 --> 00:34:48,160
Speaker 1: they are so far outside of the realm of possibility

670
00:34:48,239 --> 00:34:51,719
Speaker 1: for average everyday Libs that I you know, I think

671
00:34:52,120 --> 00:34:55,560
Speaker 1: the conservative candidate wins fifty states if AOC is at

672
00:34:55,560 --> 00:34:57,120
Speaker 1: the top of the ticket. Actually, you know what, put

673
00:34:57,160 --> 00:34:59,239
Speaker 1: AOC at the top of the ticket, then go with David Hogg,

674
00:34:59,600 --> 00:35:02,360
Speaker 1: the guy who says he's too extreme for American politics

675
00:35:02,560 --> 00:35:05,480
Speaker 1: and is now the vice chair of the DNC. That's

676
00:35:05,520 --> 00:35:09,520
Speaker 1: a great idea, Libs. Before we get to MAGA Monday,

677
00:35:09,560 --> 00:35:12,320
Speaker 1: I do have to say I will be in Dallas,

678
00:35:12,360 --> 00:35:14,839
Speaker 1: Texas tomorrow at the University of Texas Dallas with our

679
00:35:14,880 --> 00:35:15,960
Speaker 1: awesome turning Point chapter.

680
00:35:16,000 --> 00:35:16,160
Speaker 4: There.

681
00:35:16,160 --> 00:35:19,680
Speaker 1: I believe we start at five PM chat conversation about

682
00:35:19,719 --> 00:35:21,120
Speaker 1: what's going on in the world. I think we're gonna

683
00:35:21,120 --> 00:35:22,920
Speaker 1: have some fun there. So if you're in the Dallas area,

684
00:35:23,680 --> 00:35:26,399
Speaker 1: Dallas University of Texas Dallas will be there at five

685
00:35:26,440 --> 00:35:29,480
Speaker 1: pm tomorrow and also doing our show from Dallas tomorrow,

686
00:35:29,600 --> 00:35:32,000
Speaker 1: so we will see you then. So, without further Ado,

687
00:35:32,800 --> 00:35:36,120
Speaker 1: let's get to Maga Monday. First up in Maga Monday

688
00:35:36,280 --> 00:35:39,280
Speaker 1: is this clip that you know all of these clips

689
00:35:39,280 --> 00:35:42,160
Speaker 1: are great, You're gonna love all of them. Clip number one. Well,

690
00:35:42,239 --> 00:35:43,920
Speaker 1: let's let's play this and discuss.

691
00:35:46,040 --> 00:35:49,319
Speaker 7: Harry, do you trust Trump's national security team to keep

692
00:35:49,400 --> 00:35:52,279
Speaker 7: our work plans top secret? Do you trust your mother

693
00:35:52,400 --> 00:35:54,640
Speaker 7: every night to fix your hot pockets and make sure

694
00:35:54,680 --> 00:35:55,880
Speaker 7: your game boys turned on?

695
00:35:58,680 --> 00:36:01,919
Speaker 1: That's Tim Burchett to get costed by a guy who

696
00:36:01,960 --> 00:36:07,080
Speaker 1: I think he thinks he's doing some serious investigative journalist work, Sir,

697
00:36:07,239 --> 00:36:12,399
Speaker 1: Do you trust the Trump administration to no like we're

698
00:36:12,400 --> 00:36:16,719
Speaker 1: not We're not playing games here, kiddo. Go make sure

699
00:36:16,760 --> 00:36:20,080
Speaker 1: your mom's got those hot pockets ready unless you don't

700
00:36:20,080 --> 00:36:22,000
Speaker 1: trust her, Unless you don't trust your mom to make

701
00:36:22,000 --> 00:36:26,280
Speaker 1: the hot pockets at an adequate temperature and fashion. Hopefully

702
00:36:26,320 --> 00:36:28,480
Speaker 1: your mom does the oven baked, because we all know

703
00:36:28,560 --> 00:36:32,800
Speaker 1: microwaved hot pockets are not as good as oven baked

704
00:36:33,000 --> 00:36:35,200
Speaker 1: hot pockets, which I'm sure there are several of you

705
00:36:35,280 --> 00:36:38,560
Speaker 1: nodding your head out there. I'm appreciative that you understand

706
00:36:38,600 --> 00:36:41,279
Speaker 1: that reference. But the game boy being turned on is

707
00:36:41,320 --> 00:36:43,920
Speaker 1: actually a pretty big issue for folks like that. I

708
00:36:43,920 --> 00:36:46,680
Speaker 1: would imagine that his mom does limit him to game

709
00:36:46,719 --> 00:36:50,200
Speaker 1: boy hours, and if he has surpassed the allotted game

710
00:36:50,239 --> 00:36:53,040
Speaker 1: boy time for the day, well, it might be a

711
00:36:53,040 --> 00:36:56,719
Speaker 1: bad evening for that young gentleman. Bag of Monday rolls

712
00:36:56,760 --> 00:36:57,799
Speaker 1: on watch the next one.

713
00:36:58,920 --> 00:37:01,040
Speaker 11: I really like you sure, I'd like to talk about

714
00:37:01,400 --> 00:37:04,520
Speaker 11: where you think there's waste within your department.

715
00:37:05,239 --> 00:37:06,400
Speaker 3: Where dot.

716
00:37:08,160 --> 00:37:11,319
Speaker 4: What exactly will you be cutting and how much of it?

717
00:37:11,400 --> 00:37:13,200
Speaker 11: And can I want you to do it while eating

718
00:37:13,280 --> 00:37:16,680
Speaker 11: pork crack ones. Okay, you need to understand that just

719
00:37:16,719 --> 00:37:19,279
Speaker 11: to keep this town afloat, we probably have to cut

720
00:37:19,280 --> 00:37:23,680
Speaker 11: the budget of every department by forty or fifty percent. Okay, Well,

721
00:37:23,920 --> 00:37:26,160
Speaker 11: but Chris said that you just had to, you know,

722
00:37:26,480 --> 00:37:29,160
Speaker 11: tinker with things. Yeah, he said that, because that sounds

723
00:37:29,200 --> 00:37:30,840
Speaker 11: a lot better than we're going to cut it with

724
00:37:30,880 --> 00:37:32,160
Speaker 11: a machete.

725
00:37:37,280 --> 00:37:39,560
Speaker 1: If you're unfamiliar with that show, that's Parks and rec

726
00:37:39,920 --> 00:37:43,239
Speaker 1: and you should watch it just for the character of

727
00:37:43,600 --> 00:37:46,600
Speaker 1: Ron Swanson, who is played by Nick Oferman, who ironically

728
00:37:46,680 --> 00:37:51,040
Speaker 1: is this huge lib But Ron Swanson hates the government

729
00:37:51,400 --> 00:37:53,800
Speaker 1: and the way that they do things more than anyone

730
00:37:53,840 --> 00:37:56,880
Speaker 1: in the show, and again ironically and hilariously works for

731
00:37:56,960 --> 00:38:00,359
Speaker 1: the government. But that that pretty much that interaction much

732
00:38:00,360 --> 00:38:03,160
Speaker 1: depicts how I feel and I'm sure number of you feel.

733
00:38:03,640 --> 00:38:06,800
Speaker 1: But yeah, well, trimming down it is just a nicer

734
00:38:06,840 --> 00:38:09,680
Speaker 1: way of saying gutting with a machete, which is what

735
00:38:09,960 --> 00:38:12,320
Speaker 1: needs to happen. By the way, again, we're not really

736
00:38:12,520 --> 00:38:14,680
Speaker 1: talking about what you want and what you don't want.

737
00:38:14,719 --> 00:38:17,920
Speaker 1: It's what math will allow. We will go bankrupt if

738
00:38:17,960 --> 00:38:20,000
Speaker 1: we continue on the path that we're on. That is

739
00:38:20,040 --> 00:38:22,920
Speaker 1: why Elon is so important. And speaking of Elon, uh,

740
00:38:22,960 --> 00:38:26,080
Speaker 1: he is our last clip here that we will watch.

741
00:38:26,400 --> 00:38:28,600
Speaker 1: Go ahead, and Maga Munday wraps up with Elon muss

742
00:38:28,640 --> 00:38:29,040
Speaker 1: checked out.

743
00:38:29,719 --> 00:38:34,680
Speaker 6: Yeah, I mean, I mean, isn't it isn't it shocking

744
00:38:34,960 --> 00:38:38,560
Speaker 6: how much violence and hatred is coming from the left.

745
00:38:41,080 --> 00:38:43,239
Speaker 6: I mean, isn't this supposed isn't it supposed to be

746
00:38:43,440 --> 00:38:46,000
Speaker 6: the party they claim to be the party of empathy

747
00:38:46,480 --> 00:38:50,000
Speaker 6: and yet they're burning the burning Tesla's and shooting up

748
00:38:50,040 --> 00:38:53,719
Speaker 6: dealerships and calling for the death of the president and me,

749
00:38:54,239 --> 00:38:58,239
Speaker 6: I'm like, guys, you know this is this is insane,

750
00:38:58,480 --> 00:39:02,480
Speaker 6: Like they are totally gone sight. I mean, it's really like,

751
00:39:03,640 --> 00:39:06,120
Speaker 6: I totally understand if somebody doesn't want to buy a product.

752
00:39:06,200 --> 00:39:06,920
Speaker 1: Yeah, it's up to you.

753
00:39:06,960 --> 00:39:08,879
Speaker 6: It's free country, you know, but you don't have to.

754
00:39:08,840 --> 00:39:09,560
Speaker 1: Burn it down.

755
00:39:10,440 --> 00:39:15,120
Speaker 6: Okay, but much that's somebody else's car, leave it alone.

756
00:39:16,120 --> 00:39:23,799
Speaker 1: Thanks, guys, I I love that. And he's He's totally right.

757
00:39:23,880 --> 00:39:28,680
Speaker 1: The Libs preach tolerance and then you know, I'm only

758
00:39:28,760 --> 00:39:31,920
Speaker 1: tolerant of you if you agree exactly with everything I say.

759
00:39:32,480 --> 00:39:34,120
Speaker 1: Says all the Libs. But he hit on something that

760
00:39:34,160 --> 00:39:37,319
Speaker 1: I think it should be talked about more because all

761
00:39:37,360 --> 00:39:39,520
Speaker 1: across the internet, if you haven't seen this, the libs

762
00:39:39,520 --> 00:39:42,320
Speaker 1: are saying, well, what about bud Light or what about

763
00:39:42,400 --> 00:39:46,200
Speaker 1: Target when you guys boycotted them. Yeah, the difference is,

764
00:39:46,880 --> 00:39:50,360
Speaker 1: did anyone go to the bud like brewing facility and

765
00:39:50,480 --> 00:39:55,080
Speaker 1: burn it to the ground? Did anybody go and attack Target? When? Sorry,

766
00:39:55,120 --> 00:39:57,920
Speaker 1: I guess I guess the BLM folks did, But that

767
00:39:57,920 --> 00:39:59,640
Speaker 1: that's not us, So that's a different thing.

768
00:40:00,080 --> 00:40:00,279
Speaker 8: But did.

769
00:40:00,400 --> 00:40:03,839
Speaker 1: Nobody actually did any sort of physical violence, and if

770
00:40:03,880 --> 00:40:06,719
Speaker 1: they did, we would condemn them roundly for it. The

771
00:40:06,840 --> 00:40:12,040
Speaker 1: difference between boycotting a product and then torching civilians private

772
00:40:12,120 --> 00:40:16,480
Speaker 1: property should be abundantly evidently clear to everyone, but it

773
00:40:16,560 --> 00:40:20,120
Speaker 1: is not to several of the libs. So wild times

774
00:40:20,120 --> 00:40:21,440
Speaker 1: that we are living in. That's going to do it

775
00:40:21,480 --> 00:40:22,919
Speaker 1: for us today. Hope to see you tomorrow if you're

776
00:40:22,920 --> 00:40:24,960
Speaker 1: in the Dallas, Texas area. Charlie's going to take it out.

777
00:40:24,960 --> 00:40:27,279
Speaker 1: We will be here tomorrow, same time, same place. God

778
00:40:27,400 --> 00:40:39,400
Speaker 1: bless America.

779
00:40:40,040 --> 00:40:44,399
Speaker 7: It's called Liberation Day coming up on April second, that

780
00:40:44,520 --> 00:40:50,600
Speaker 7: is later this week, on Wednesday. President Donald Trump has

781
00:40:50,640 --> 00:40:52,560
Speaker 7: said that there is going to be a liberation in

782
00:40:52,600 --> 00:40:57,960
Speaker 7: this country. There will be tariffs put on every country

783
00:40:57,960 --> 00:41:01,360
Speaker 7: that has tariffs against us. There will be reciprocity, and

784
00:41:01,400 --> 00:41:04,360
Speaker 7: there will be tariffs across the board. The Trump administration

785
00:41:04,600 --> 00:41:08,600
Speaker 7: is planning its biggest round of tariffs yet this Wednesday. Now,

786
00:41:08,719 --> 00:41:11,880
Speaker 7: do not look at your stock portfolio. Do not do

787
00:41:12,000 --> 00:41:15,080
Speaker 7: that this week. Make a promise to yourself. Take the

788
00:41:15,120 --> 00:41:18,200
Speaker 7: app off your phone, do not look at your stock portfolio.

789
00:41:18,640 --> 00:41:21,400
Speaker 7: Say this week and maybe for a couple of weeks,

790
00:41:21,440 --> 00:41:23,960
Speaker 7: I Am not going to look at it because it's

791
00:41:24,000 --> 00:41:26,360
Speaker 7: gonna get a little bit bumpy. We're in for some

792
00:41:26,520 --> 00:41:30,520
Speaker 7: turbulence now. We already have tariffs on Canada and Mexico,

793
00:41:30,920 --> 00:41:33,239
Speaker 7: but what we're getting now is a big wave of

794
00:41:33,920 --> 00:41:38,080
Speaker 7: reciprocal tariffs. These are tariffs that President Trump is imposing

795
00:41:38,400 --> 00:41:42,280
Speaker 7: as retaliation for similar tariffs that have imposed on American

796
00:41:42,280 --> 00:41:46,719
Speaker 7: goods in other countries. For example, Indian India has a

797
00:41:46,800 --> 00:41:51,080
Speaker 7: huge tariff on Harley Davidson's just stuff like this big

798
00:41:51,120 --> 00:41:54,080
Speaker 7: screen TV tariffs in Japan. If we are going to

799
00:41:54,080 --> 00:41:57,239
Speaker 7: be tariffed, then we will tariff back. Last year of

800
00:41:57,239 --> 00:41:59,200
Speaker 7: the US trade deficit with the rest of the planet

801
00:41:59,200 --> 00:42:03,600
Speaker 7: passed one point to trillion dollars. That's a record, and

802
00:42:03,680 --> 00:42:06,319
Speaker 7: there are no signs of things getting better unless we

803
00:42:06,400 --> 00:42:10,000
Speaker 7: took dramatic action. America has been becoming a country that

804
00:42:10,040 --> 00:42:15,560
Speaker 7: produces nothing and only buys that ends in national bankruptcy.

805
00:42:16,880 --> 00:42:22,640
Speaker 7: We are seeing a geopolitical restructuring on our terms. We

806
00:42:22,719 --> 00:42:25,719
Speaker 7: have a choice. We could ignore what is obviously the

807
00:42:25,800 --> 00:42:29,359
Speaker 7: rebalancing of the international world order and continue be a

808
00:42:29,520 --> 00:42:35,160
Speaker 7: consumer economy. If you are strictly a consumer economy, you

809
00:42:35,200 --> 00:42:40,800
Speaker 7: are subservient held hostage to the internationalist and globalist forces.

810
00:42:42,320 --> 00:42:45,120
Speaker 7: We are tired of being cheated, and President Trump has

811
00:42:45,200 --> 00:42:51,600
Speaker 7: talked about this issue for decades. We have one shot,

812
00:42:51,800 --> 00:42:55,680
Speaker 7: and one shot only to fix this. We have one opportunity.

813
00:42:56,760 --> 00:43:00,000
Speaker 7: While we are still the wealthiest nation on the world,

814
00:43:00,239 --> 00:43:03,960
Speaker 7: in the world and the incumbent economic player. We have

815
00:43:04,160 --> 00:43:07,399
Speaker 7: one chance to do this. You see, post World War

816
00:43:07,440 --> 00:43:11,000
Speaker 7: Two and the World War two based order, America decided

817
00:43:11,280 --> 00:43:14,560
Speaker 7: to become a consumer economy. We don't really make much

818
00:43:14,600 --> 00:43:19,880
Speaker 7: in this country anymore. We make mobile apps, we build homes,

819
00:43:20,960 --> 00:43:24,160
Speaker 7: and we have a banking sector that is robust and

820
00:43:24,200 --> 00:43:28,120
Speaker 7: the best on the planet. For now, what else do

821
00:43:28,200 --> 00:43:31,800
Speaker 7: we actually physically make Now? There is some small manufacturing

822
00:43:31,800 --> 00:43:36,280
Speaker 7: companies that have still persisted. But we signed a series

823
00:43:37,560 --> 00:43:43,000
Speaker 7: of trade agreements, the North Atlantic Free Trade Agreement NAFTA.

824
00:43:43,520 --> 00:43:46,120
Speaker 7: We allowed China to go into WTO in the late

825
00:43:46,200 --> 00:43:51,120
Speaker 7: nineteen nineties. We also have decided to get rid of

826
00:43:51,120 --> 00:43:53,960
Speaker 7: almost all tariffs over the last thirty to forty years

827
00:43:54,000 --> 00:43:58,440
Speaker 7: because we believed that free trade would make us richer. Now,

828
00:43:58,480 --> 00:44:01,480
Speaker 7: while free trade has a lot us to get more stuff,

829
00:44:02,520 --> 00:44:04,919
Speaker 7: has it actually made us a richer country? I had

830
00:44:04,960 --> 00:44:09,839
Speaker 7: this debate with a strict libertarian on campus. He called

831
00:44:09,880 --> 00:44:14,240
Speaker 7: himself a libertarian economist, and I said, the political question

832
00:44:14,320 --> 00:44:17,680
Speaker 7: is not just whether or not we are getting economically wealthier.

833
00:44:18,000 --> 00:44:20,840
Speaker 7: It's whether or not our communities are strong, our families

834
00:44:20,880 --> 00:44:23,840
Speaker 7: are staying formed. It's whether or not an average worker

835
00:44:24,440 --> 00:44:27,920
Speaker 7: can afford to have his or her part of the

836
00:44:27,960 --> 00:44:33,360
Speaker 7: American dream. It's whether or not we have a vibrant

837
00:44:33,440 --> 00:44:39,120
Speaker 7: and connected culture in our country. We have lost five

838
00:44:39,239 --> 00:44:43,520
Speaker 7: million manufacturing jobs in the last twenty years, five million.

839
00:44:45,320 --> 00:44:48,240
Speaker 7: And what we have learned is that when we lose

840
00:44:48,280 --> 00:44:53,360
Speaker 7: those manufacturing jobs, when those factories are closed, there is

841
00:44:53,400 --> 00:44:57,560
Speaker 7: a wage reduction for that worker by eleven to twenty

842
00:44:57,640 --> 00:45:01,440
Speaker 7: two percent. This was a bipartisan study done by Congress.

843
00:45:01,719 --> 00:45:04,880
Speaker 7: So when a factory worker is no longer building a

844
00:45:04,960 --> 00:45:08,680
Speaker 7: dishwasher or a big screen TV or a pickup truck

845
00:45:09,040 --> 00:45:12,000
Speaker 7: and they find a replacement job, there is a wage

846
00:45:12,040 --> 00:45:14,520
Speaker 7: reduction of eleven to twenty two percent.

847
00:45:16,840 --> 00:45:17,360
Speaker 1: Wages.

848
00:45:17,719 --> 00:45:20,840
Speaker 7: Since the World Trade Organization entrance of China into this

849
00:45:21,040 --> 00:45:24,440
Speaker 7: compact and since NAFTA was passed, wages for the bottom

850
00:45:24,480 --> 00:45:27,919
Speaker 7: ten percent have only rows four percent. Over the last

851
00:45:27,920 --> 00:45:36,160
Speaker 7: thirty years. We have closed sixty thousand factories in the

852
00:45:36,200 --> 00:45:44,239
Speaker 7: last twelve years, sixty thousand factories. We call them the

853
00:45:44,320 --> 00:45:46,920
Speaker 7: muscular class on this country, and the muscular class has

854
00:45:46,920 --> 00:45:54,560
Speaker 7: been completely and totally decimated, eliminated. In nineteen eighty five,

855
00:45:55,560 --> 00:46:00,440
Speaker 7: it took thirty weeks of work to support a family

856
00:46:01,120 --> 00:46:06,720
Speaker 7: of four. Thirty weeks of work to be able to

857
00:46:06,960 --> 00:46:11,839
Speaker 7: have housing, healthcare, send your kids to school, get a car,

858
00:46:11,880 --> 00:46:15,279
Speaker 7: and that means you could save money. That means your

859
00:46:15,400 --> 00:46:18,719
Speaker 7: wife did not have to go into the workforce. She

860
00:46:18,800 --> 00:46:21,440
Speaker 7: could if she wanted to, but if she wanted to

861
00:46:21,480 --> 00:46:26,000
Speaker 7: be a stay at home mom, it was perfectly made

862
00:46:26,000 --> 00:46:34,400
Speaker 7: financial sense. Now, it takes sixty two weeks of work

863
00:46:35,600 --> 00:46:38,560
Speaker 7: for an average worker to be able to support a

864
00:46:38,600 --> 00:46:43,280
Speaker 7: family of four. Sixty two weeks of work, which means

865
00:46:43,280 --> 00:46:45,720
Speaker 7: that one of two things have to happen. The family

866
00:46:45,719 --> 00:46:47,920
Speaker 7: has to go into debt to just support a family

867
00:46:47,960 --> 00:46:51,400
Speaker 7: of four, or the wife has to go into the workforce,

868
00:46:51,400 --> 00:46:53,160
Speaker 7: which then means the kid has to go to day care.

869
00:46:53,760 --> 00:46:57,600
Speaker 7: And if you have to do daycare, that's obviously necessary

870
00:46:57,600 --> 00:47:00,120
Speaker 7: for a lot of people, but it's not ideal for

871
00:47:00,160 --> 00:47:03,040
Speaker 7: many families. Many moms would prefer to be with their

872
00:47:03,160 --> 00:47:06,439
Speaker 7: kids when they're two, three, four, five, six, seven years old,

873
00:47:07,040 --> 00:47:08,879
Speaker 7: they would prefer to be stay at home moms during

874
00:47:08,920 --> 00:47:15,400
Speaker 7: those formative years. Free trade absolutism has hurt our nuclear families.

875
00:47:16,920 --> 00:47:20,360
Speaker 7: It has weakened our communities. So we have one shot

876
00:47:20,400 --> 00:47:23,719
Speaker 7: to do this. We have one shot, and there is

877
00:47:23,800 --> 00:47:26,799
Speaker 7: going to be a hardware renaissance the same way that

878
00:47:26,840 --> 00:47:31,960
Speaker 7: we have seen a software renaissance. Advanced robotics and advanced

879
00:47:32,000 --> 00:47:35,279
Speaker 7: manufacturing is going to be the new economic growth curve.

880
00:47:37,600 --> 00:47:40,800
Speaker 7: Where are these tools of the future going to be built?

881
00:47:41,760 --> 00:47:45,120
Speaker 7: The hardware renaissance to build the rockets and the potential

882
00:47:45,160 --> 00:47:49,520
Speaker 7: flying cars and the autonomous vehicles. President Trump understands that

883
00:47:49,600 --> 00:47:53,600
Speaker 7: there is this window, there is this momentary window where

884
00:47:53,600 --> 00:47:58,520
Speaker 7: we can finally rebalance and course correct the mistakes of

885
00:47:58,560 --> 00:48:02,680
Speaker 7: the last forty or fifty years.

886
00:48:01,840 --> 00:48:02,040
Speaker 3: Eight