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Speaker 1: A bunch of Libs got together and decided to sue

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Speaker 1: the Trump administration over something that pretty much everyone agrees on.

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Speaker 1: Harvard is trying desperately to not become the next Columbia

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Speaker 1: and lose a bunch of federal funding. And also TikTok

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Speaker 1: sale is fast approaching. Will the United States get that

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Speaker 1: deal done? A new player has jumped into the mix.

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Speaker 1: Deadline is Saturday. All that more coming up on this

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Speaker 1: episode of Turning Points Tonight. My name is Joe Bob.

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Speaker 1: Thanks so much for tuning in.

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Speaker 2: Together.

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

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

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Speaker 1: of those stories, this is something that I think every

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Speaker 1: American should know, especially if you care about where your

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Speaker 1: tax dollars are going and don't like to see the.

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Speaker 2: Libs lie and get away with it.

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Speaker 1: Libs constantly complain about cuts to well, pretty much anything.

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Speaker 1: They pretend that any cuts will hurt the poor, and

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Speaker 1: they have a better chance at winning that argument if

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Speaker 1: there are more poor people, Well, who gets to decide

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Speaker 1: who is poor and therefore who gets benefits. Well, for

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Speaker 1: the last couple decades, it's been the US Census. According

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Speaker 1: to the Wall Street Journal, the Census has overstated the

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Speaker 1: extent of poverty because, get this, it doesn't count about

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Speaker 1: eighty eight percent of income in transfer payments made to

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Speaker 1: households that are classified as low income. Okay, what does

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Speaker 1: that mean? Okay, Well, we often hear about this income gap.

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Speaker 1: But whatever we do, the libs leave out this massive

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Speaker 1: caveat when you talk about the income gap. The Census

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Speaker 1: Bureau doesn't count about ninety percent of the purchase power

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Speaker 1: given out to the lower income class, which means that

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Speaker 1: when you're measuring income, they don't include things like refundable

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Speaker 1: tax credits, food stamp, debit cards, Medicaid, and about one

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Speaker 1: hundred other federal, state and local transfer payment income programs.

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Speaker 1: In other words, the Census fails to account for about

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Speaker 1: two trillion dollars in government benefits that are given to

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Speaker 1: low income households to meet their needs. Now, because they

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Speaker 1: don't count those payments, the Census says, the average household

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Speaker 1: income that's in the bottom fifth or the bottom twenty

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Speaker 1: percent is only about seventeen, six hundred and fifty dollars. Again,

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Speaker 1: according to the Wall Street Journal, Now if you count

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Speaker 1: all of the money that the government gives to low

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Speaker 1: income people, well that number goes up to about sixty

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Speaker 1: five thousand dollars, which is about the median household income. So,

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Speaker 1: in other words, if you count all of the money

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Speaker 1: that goes to lower income people and don't just leave

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Speaker 1: it out, well there's less poor people. The CBO, the

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Speaker 1: Congressional Budgeting Office, put out a new poverty measure that

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Speaker 1: does factor in all of those transfer payments in January.

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Speaker 1: And when you do the estimates for the poverty rate

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Speaker 1: in the most recent year, which is twenty twenty one

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Speaker 1: instead of the eleven point six percent rate that the

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Speaker 1: census has, well is actually about zero point eight percent,

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Speaker 1: substantially lower. In other words, libs are fudging the numbers

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Speaker 1: in order to push their narrative that the United States,

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Speaker 1: the average United States family is way worse off than

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Speaker 1: they are and the poorest among us are disastrously worse

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Speaker 1: off than they really are because they leave out so

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Speaker 1: many important statistics. Here to talk about that and so

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Speaker 1: much more is comedian Dave Hahn and Turning Point Frontlines

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Speaker 1: reporter Brandon dra Guys, thanks so much for joining us today.

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Speaker 3: Thank you for having me on.

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Speaker 1: Brandon, I want to try that with you. Yeah, I

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Speaker 1: want to stay with you, Brandon this whole idea. You

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Speaker 1: see Bernie Sanders and AOC they're on like this big

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Speaker 1: tour where they actually are pulling some big audiences, and

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Speaker 1: all of their arguments really cater to the fact of

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Speaker 1: look at how many poor and impoverished people are, But

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Speaker 1: like you just said, they don't when they factor in

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Speaker 1: those numbers, they don't count any of the money that

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Speaker 1: the government all already gives. I guess the question is,

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Speaker 1: you know, how do we get people to recognize that

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Speaker 1: purchasing power is really what matters, and when it comes

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Speaker 1: to purchasing power, the bottom twenty percent of Americans aren't

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Speaker 1: as bad off as Bernie and folks like to make

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Speaker 1: it seem.

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Speaker 4: Yeah, I mean, I'm just surprised that people aren't talking

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Speaker 4: about this more. I mean, according to this article, it's

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Speaker 4: showing that America really isn't as poor as it seems.

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Speaker 4: So why are we pushing this narrative when we should

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Speaker 4: just be telling people to get back to work and

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Speaker 4: stop taking money from the government.

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Speaker 1: Yeah, it really is not a great look, David. So

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Speaker 1: when the Trump administration took over, they obviously have some

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Speaker 1: influence into the Census Bureau. Do you think that this

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Speaker 1: is gonna be a big enough thing? The Wall Street

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Speaker 1: Journal is trying to make it a big thing. I'm

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Speaker 1: trying to make it a big thing. But you think

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Speaker 1: it gets to bubble up to where people, you know,

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Speaker 1: want to adjust for all of the purchasing power that

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Speaker 1: we the taxpayer give to all these folks.

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Speaker 5: No, no, nonhing's gonna change. Nothing's gonna change. I don't

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Speaker 5: think people are interested in numbers. They are interested in

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Speaker 5: numbers that suit their their worldview.

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Speaker 3: So but here's the thing.

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Speaker 5: So I would think that the Democrats would want to push, uh,

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Speaker 5: you know, push this idea that transfer payments does reduce poverty. Yeah,

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Speaker 5: you it's it's a it's a way for them to

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Speaker 5: show that the programs work.

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Speaker 1: Right, Yeah, yeah, that should be the point, wouldn't they

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Speaker 1: wouldn't this be like a thing like, hey, look are

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Speaker 1: the property writ went down because of how much money

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Speaker 1: are they giving? But of course, yeah, that kind of

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Speaker 1: works against itself. If you have a bad idea, a

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Speaker 1: good point in that bad idea doesn't make the bad

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Speaker 1: idea go away. It still says, oh, yeah, they're well,

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Speaker 1: we need to keep we need to keep saying people

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Speaker 1: are more poor than they actually are, or else our

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Speaker 1: money will Speaking of people who don't want money to

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Speaker 1: dry up, Harvard doesn't want to get Columbia. We all

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Speaker 1: remember the story from last week or a couple of

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Speaker 1: weeks ago, where the Trump administration pulled up four hundred

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Speaker 1: million dollars in funding. On Monday or Tuesday of this week,

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Speaker 1: the administration was eyeing nine billion dollars that was going

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Speaker 1: to Harvard University and saying, hey, are you guys meeting

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Speaker 1: the standards now? In order to preempt that the new

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Speaker 1: I think he's an interim president of Harvard because Claudine

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Speaker 1: Gay had to resign last year, they have removed the Diversity,

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Speaker 1: Equity and Inclusion statement for faculty hiring. They've launched an

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Speaker 1: Intellectual Vitality program aimed at expanding open dialogue. They dismissed

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Speaker 1: some of the controversial Center for Middle Eastern Studies department people.

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Speaker 1: They've reinforced intellectual diversity guidelines across programs. They've done a

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Speaker 1: bunch of different things to preempt the Trump administration from

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Speaker 1: eliminating that. Brandon, is that enough? Do we need to

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Speaker 1: push harder? Or you know, is it so in fact

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Speaker 1: with woke ideology that even this sort of stuff doesn't

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Speaker 1: doesn't do a justice or doesn't isn't good enough.

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Speaker 4: I mean, they're gonna get money regardless, because they get

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Speaker 4: billions of dollars in endowment. So you know, we shouldn't

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Speaker 4: be funding any of this in general, because what are

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Speaker 4: they producing at the end of the day. They're producing

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Speaker 4: a bunch of lost children who take to the streets

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Speaker 4: and protest for things that they don't even know what

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Speaker 4: they're talking about or bleeding in. So, you know, I

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Speaker 4: think we should just cut the funding out all together

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Speaker 4: and let them figure it out on their own until

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Speaker 4: they want to start teaching, you know, ideas of free

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Speaker 4: markets and American values that are gonna make America really

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Speaker 4: prosperous in the future.

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Speaker 1: Yeah, it sounds like you're saying that it might be

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Speaker 1: not worth saving it. Hey, Dave, same question is this

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Speaker 1: Is this a step in the right direction that maybe

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Speaker 1: we can get the university systems back, because you know,

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Speaker 1: despite all of the woke craziness, they do have well

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Speaker 1: funded labs. They've got pretty smart people there doing stuff

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Speaker 1: that are outside of the political realm that might actually

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Speaker 1: benefit the taxpayer. Is it a you know, burn it

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Speaker 1: to the ground situation, or is it you know, something

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Speaker 1: that hey, this is this is progress at the very

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Speaker 1: least in the right direction.

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Speaker 5: Look, I don't think we should be funding universities just

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Speaker 5: in general. I mean, how how much money are we

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Speaker 5: giving them?

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Speaker 3: What is this?

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Speaker 5: Eight hundred million dollars? Is that the number for them?

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Speaker 2: For this is nine billion dollars?

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Speaker 5: Nine billion dollion dollars, have like a fifty billion dollar endowment.

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Speaker 5: Why does the taxpayer need to give them any money? Well,

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Speaker 5: that's the thing too, right, So you have the elite university,

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Speaker 5: All of these people are going to come out of there,

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Speaker 5: were there with pretty well paid jobs. They have an

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Speaker 5: over fifty billion dollar endowment. Like they don't they haven't

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Speaker 5: they have enough?

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Speaker 6: I don't.

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Speaker 5: I don't know why we need to give them nine

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Speaker 5: billion dollars.

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Speaker 1: Yeah, yeah, I mean there's obviously some complaines there, and

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Speaker 1: it'll be interesting to kind of see if that actually

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Speaker 1: works in the Trump administration says oh, yeah, you're you're

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Speaker 1: in the right direction. But I guess that kind of

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Speaker 1: remains to be seen depending on Trump. But you're you're

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Speaker 1: right to the extent. I think both of you hinted

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Speaker 1: at the fact that coming out of these universities or

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Speaker 1: a bunch of bunch of lib commis, and one thing

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Speaker 1: that we've found out that it's it's fascinating to me.

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Speaker 1: There's a guy named James Lindsay. If people aren't familiar

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Speaker 1: with him, go look him up. He's hilarious and also

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Speaker 1: very very smart. He has reiterated so often that communists lie.

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Speaker 1: That's kind of like part of the whole thing in

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Speaker 1: order to bring apart this communist revolution, Well, you have

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Speaker 1: to lie about stuff, and so commies just lie. And

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Speaker 1: I think one of the bigger lies that have been

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Speaker 1: circulating around is the numerous attempts that the mainstream media

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Speaker 1: has tried to drive a wedge between President Trump and Elon.

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Speaker 1: There was a big scoop yesterday that Elon is resigning

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Speaker 1: from his post even I say reputable outlets. I happen

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Speaker 1: to think TMZ is a very reputable out but some

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Speaker 1: people might not agree. Even they were saying, yeah, Elon's done.

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Speaker 1: Pretty soon the White House and Elon responded, no, what

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Speaker 1: are you talking about? And I would imagine that the

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Speaker 1: whole story was completely and entirely fabricated. Brandon is somebody

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Speaker 1: who takes journalism and reporting seriously.

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Speaker 2: You know, what do you do.

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Speaker 1: About the fact that some people out there that call

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Speaker 1: themselves journalism reporters are just willing to flat out lie

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Speaker 1: about things.

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Speaker 4: Yeah, I mean it's so funny because when you look

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Speaker 4: when you click on this political journal's x account, she

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Speaker 4: has like three different titles, Capital Bureau Chiefs, senior Washington columnists,

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Speaker 4: contributing political correspondent, all touting some idea that she knows everything.

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Speaker 4: But when she puts out bogus stories like this and

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Speaker 4: gets debunked within hours of publishing, it's hilarious to watch

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Speaker 4: them say absolutely nothing to defend.

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Speaker 2: Their source or their scoop.

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Speaker 4: You know, when I was in college studying journalism, my

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Speaker 4: professor told us we're only as good of a reporter

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Speaker 4: as our sources, So I'll let that speak for itself.

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Speaker 4: I mean, we're living in the greatest timeline right now

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Speaker 4: where they put out these articles and for these unnamed sources,

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Speaker 4: and then they they just become completely false within minute.

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Speaker 4: It's it's quite the timeline that we're living in right now.

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Speaker 1: Yeah, it is really interesting that people just think they

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Speaker 1: can get up on and lie about things. Hey, Dave,

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Speaker 1: so somebody who kind of gets up on stage and

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Speaker 1: tells jokes. I know, comedy is not the journalism world.

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Speaker 1: But at the same time, you know, if you're just

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Speaker 1: flat out lying to an audience, you will hear it.

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Speaker 1: I don't know, maybe we should like form some sort

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Speaker 1: of arena where journalists have to get up there and

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Speaker 1: if they're lying, they get booed out of the building,

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Speaker 1: like you would if you're trying to bs your audience.

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Speaker 5: Well, you know, there's some embellishment there. There are some

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Speaker 5: parents to stand up.

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Speaker 7: You know.

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Speaker 5: I'm not that great of storyteller, so I can't just

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Speaker 5: make things up out of whole cloth. You know, there

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Speaker 5: has to be some some truth in the things the

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Speaker 5: things that I uh, but apparently to be a journalist, uh,

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Speaker 5: most of most of the time there there can be

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Speaker 5: zero truth and then you can get loud on the stuff.

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Speaker 5: And I have yet to see any journalists issues issue

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Speaker 5: any meoculpas or apologies for being completely wrong. And you

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Speaker 5: know this goes back in years more or more. I

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Speaker 5: mean this this was happening during the A Boom administration.

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Speaker 3: Anyway.

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Speaker 5: Anyways, Yeah, I just, uh, the fact of the matter

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Speaker 5: is they don't care about you don't they don't care

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Speaker 5: about lying, they don't care about being you know, hypocrites,

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Speaker 5: that none of that. And so, you know, as going

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Speaker 5: back to James Lindsay sort of, he just points out

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Speaker 5: that to them, it's it's just a means to an end,

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Speaker 5: So they could just tell a lie you get enough

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Speaker 5: people to believe it. It doesn't matter at that point

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Speaker 5: if it's proven to be false, because the people who

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Speaker 5: are gonna believe are gonna believe it.

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Speaker 2: So that's what they're doing.

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Speaker 3: They're just doing They're just lost though.

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Speaker 5: They can propagate it and then move on to the

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Speaker 5: next thing, as if what they just said, you know,

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Speaker 5: wasn't complempletely false.

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Speaker 2: Yeah, totally.

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Speaker 1: Yeah, Well it sounds it sounds like you've just eliminated

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Speaker 1: yourself from contention at the job at MSNBC since you

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Speaker 1: can't make things up and just promote them as truth.

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Speaker 1: So sorry that sorry that that happened. Brandon Dave will

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Speaker 1: be right back after the break to talk more about

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Speaker 1: the news of the day, and also we'll check in

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Speaker 1: with our White House correspondent, Monica Page right after the break.

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Speaker 1: Don't go aib be right back after this welcome back

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Speaker 1: to turning Point tonight, where we are charging the course

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Speaker 1: of America's cultural comeback. Let's check in with White House

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

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Speaker 1: news yesterday on the big announcements of all these teriffs.

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Speaker 1: Can you can you kind of give us an update

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Speaker 1: what the tariffs are, what people should expect, what the

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Speaker 1: President's saying, what the White House is saying.

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Speaker 2: Just run with it.

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Speaker 6: Yep, all the above.

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Speaker 7: Joe Bob, Well, we're here at a very windy White

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Speaker 7: House where the President just left to head off to

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Speaker 7: the mar A Lago and also to a live golf

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Speaker 7: dinner this weekend as well. But he said the markets

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Speaker 7: are going to boom. He was asked a question upon

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Speaker 7: his departure about the markets because they are seeing a

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Speaker 7: little bit of a slump after this huge tariff announcement

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Speaker 7: just this week from the Rose Garden. But he said, listen,

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Speaker 7: don't worry about what's happening right now. The markets are

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Speaker 7: going to boom. This is short term pain, long term games.

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Speaker 7: And I would do want to show you this handa

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Speaker 7: that they gave us yesterday. This is a short of

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Speaker 7: every country that is terriffing US.

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Speaker 6: This is page is long.

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Speaker 7: It's got to be about six or seven page long,

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Speaker 7: every single country, and they're teriffs that they implemented on

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Speaker 7: the United States and now we're implementing those teriffs back

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Speaker 7: onto them.

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Speaker 6: So it's not fully reciprocal.

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Speaker 7: This there's actually a baseline so if another country tries

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Speaker 7: to violate a trade agreement or something or other, these

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Speaker 7: numbers of the US is implementing on these other countries

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Speaker 7: can go up. So it's going to be very interesting

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Speaker 7: to see. And I know that Vietnam so far on

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Speaker 7: this list. In Israel has already canceled one hundred percent

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Speaker 7: of their tariffs on the United States, so that's a

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Speaker 7: good thing.

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Speaker 6: That's a start.

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Speaker 7: And now there's rumors that India and Thailand are going

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Speaker 7: to be removing their terriffs in the United States as well,

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Speaker 7: so we'll see what happens there.

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Speaker 6: But it's very interesting.

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Speaker 7: There's actually a country on this list called herd and

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Speaker 7: McDonald's Islands. This is a population of zero, but somehow

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Speaker 7: they have ten percent tariffs on US, and now we're

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Speaker 7: implementing ten percent tariffs on them. This island is inhabited

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Speaker 7: fully by penguins, believe it or not. And the reason

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Speaker 7: why President Trump is doing reciprocal tariffs on them is

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Speaker 7: because if another country decides, oh, well, I don't want

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Speaker 7: to move my company to the United States, I'm going

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Speaker 7: to go to this island completely inhabited by penguins. Trump says, yeah, well,

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Speaker 7: I'm going to get ahead of you in case you

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Speaker 7: want to do that, and I'm going to put tariffs

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Speaker 7: on you. So very interesting strategy here. But President Trump says, hey,

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Speaker 7: trust the process. This is only temporary, so trust the process.

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Speaker 1: Yeah, maybe that island is also an importer of tuxedos,

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Speaker 1: considering the penguin population. You know. Yeah, the whole process

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Speaker 1: is going to be fascinating to watch. It is really

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Speaker 1: interesting to see a lot of people just to innately

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Speaker 1: react to, oh my gosh, this is terrible because the

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Speaker 1: market is down. You know, you said it at first,

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Speaker 1: you know, short term pain for long term gain. Let's

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Speaker 1: hope that's how it works out. There are a bunch

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Speaker 1: of countries out there that are totally screwing the American

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Speaker 1: people when it comes to importing tariffs into their country.

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Speaker 1: And but the people that are super upset about that

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Speaker 1: are actually organizing. There is going to be a big protest,

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Speaker 1: or at least scheduled to be a big protest in Washington, DC,

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Speaker 1: but around the country. Tell us more about that.

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Speaker 6: Yeah, So it's called Hands Off twenty twenty five.

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Speaker 7: It's organized by a bunch of different groups, Women's March,

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Speaker 7: the pro Palestinian Movement, you name it. They will be here,

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Speaker 7: Anti Ice, anti deportations. They're all gathering on the National

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Speaker 7: Mall on Saturday from around twelve to three pm Eastern time,

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Speaker 7: and I guess they plan on coming around here at

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Speaker 7: the White House. And you know, Secret Services really clamping

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Speaker 7: down on this because there were supposed to be White

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Speaker 7: House guarden tours on Saturday all early morning and early afternoon,

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Speaker 7: but they've actually had to reschedule those tours to Sunday,

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Speaker 7: so now everyone has to come on Sunday because they're

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Speaker 7: that concern about the large amount of people that are

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Speaker 7: coming out to protest. They're protesting saying that Elon Musk

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Speaker 7: and President Trump are looting the government and you know,

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Speaker 7: they're wreaking havoc on the American people and they're stealing

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Speaker 7: from Americans, and that could not be further from the truth.

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Speaker 7: I mean, if you actually listen to President Trump has

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Speaker 7: to say in his policies and how they actually help

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Speaker 7: us at home domestically, they would feel much more, much different.

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Speaker 7: So it'll be interesting to see what happens on Saturday.

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Speaker 7: I'll be there covering it on behalf of Turning Point

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Speaker 7: and Frontline, so I'll definitely putting out some content, So

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Speaker 7: definitely follow along.

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Speaker 6: You know.

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Speaker 1: It is fascinating, Monica, did the March for Life had

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Speaker 1: a bunch of security concerns?

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Speaker 2: Because it feels like when.

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Speaker 1: Conservatives protest, nobody's really concerned about looting or lighting the

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Speaker 1: White House on fire or cancing Rose Garden tours. It's

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Speaker 1: just when the Libs do that that there seems to

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Speaker 1: be massive security concerns. Fascinating. Yeah, Monica Page, Turning Points,

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Speaker 1: White House correspondent, Hey stay safe this weekend and we

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Speaker 1: will talk to you probably Monday.

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Speaker 6: Yep. Thanks guys, have a great rest of your weekend.

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Speaker 2: Thank you.

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Speaker 1: It's gonna be interesting to see how the Libs respond if,

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Speaker 1: in fact, things generally get better for American manufacturing, the

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Speaker 1: American people as a whole. Another thing that libs don't

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Speaker 1: like seeing is when well you do things that are

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Speaker 1: common sense, policy driven issues, and well, they just don't

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Speaker 1: like it. The most recent iteration of this is when

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Speaker 1: President Trump signed the executive order saying, Hey, you need

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Speaker 1: to be able to prove that you can vote, i e.

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Speaker 1: Be at you're a citizen in order to well vote. Shit,

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Speaker 1: that's pretty common sense. I think everybody agrees with that. Well,

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Speaker 1: it didn't take long before a bunch of Libs got

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Speaker 1: together and followed the lawsuit trying to stop that executive order.

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Speaker 2: Let's bring our.

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Speaker 1: Panel back in Brandon and Dave here talking about this

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Speaker 1: idea that well civil rights groups and cuting the NAACP

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Speaker 1: and I believe the acl you got together and said, no,

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Speaker 1: we don't need to have to prove things in order.

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Speaker 2: To be able to vote.

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Speaker 1: We don't need to prove the worst citizen in order

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Speaker 1: to vote. I thought this quote was particularly funny from

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Speaker 1: an attorney from the ACLU. We know that providing documentation

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Speaker 1: in general tends to fall more heavily on people who

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Speaker 1: are already having so many obstacles thrown at them in

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Speaker 1: their life. And if you're wondering where's the race part

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Speaker 1: of it, don't worry, it's coming. In the second site sentence,

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Speaker 1: these barriers. These are real barriers for populations that unfortunately

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Speaker 1: intersect very much with voters of color. Dave, I want

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Speaker 1: to start with you as a minority. I guess if

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Speaker 1: I'm looking at the screen accurately, what do we have

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Speaker 1: to do to get those dumb minorities to just be

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Speaker 1: able to get an ID because apparently the Libs think that,

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Speaker 1: you know, there, we're just so stupid that you can't

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Speaker 1: possibly have a verification of citizenship in order to be

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Speaker 1: able to vote.

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Speaker 5: Well, there just needs to be more liberal white hand holding,

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Speaker 5: if we if we could just want liberals to give

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Speaker 5: car rides to brown people to the d m V.

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Speaker 5: And here's the thing, man.

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Speaker 2: I'm kind of on their side.

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Speaker 5: I'm kind of on their side when it comes to uh,

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Speaker 5: how difficult it is to get to get ID and

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Speaker 5: and it all, it all rests on the fact that

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Speaker 5: you have to deal with the government to get these documentuments.

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Speaker 2: It really, it really is.

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Speaker 5: It's a pain to try and to try and guess

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Speaker 5: port I've been trying to get a real I D

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Speaker 5: for like for months now. They want me to they

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Speaker 5: want me for a real ID to come up with

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Speaker 5: all kinds of documents. I either need to have my

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Speaker 5: naturalization paper. I need to I need to ask port,

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Speaker 5: I need to have.

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Speaker 8: A phone bill.

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Speaker 5: I think I also, you know, maybe need to have

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Speaker 5: maybe the diaper aper that I've been when I.

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Speaker 2: Was eight months old.

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Speaker 5: All these things to get a real ID, real ID. Hell,

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Speaker 5: it's not racist for the state of California to require

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Speaker 5: you to do that in order to take domestic flight

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Speaker 5: flights somehow. Trump and look, I think Trump knows that

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Speaker 5: he can't just issue an executive order to change election law.

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Speaker 5: I think he knows this.

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Speaker 2: I think I think he just.

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Speaker 5: Has to troll the left to get them to lose

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Speaker 5: their minds over something that pretty much makes sense, right.

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Speaker 5: I mean, we know this, we know he can't do this. There,

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Speaker 5: He's just forcing them to lose their minds. And I

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Speaker 5: think that's sort of that's sort of a lot of

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Speaker 5: what his executive orders are. They're symbolic, and they're also

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Speaker 5: meant to trigger them in ways that sort of you know,

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Speaker 5: just them show their hand.

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Speaker 1: Yeah, that is a lot of interesting points there. Yeah,

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Speaker 1: I think everybody agrees with hey. Executive orders not how

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Speaker 1: you govern the country. But the only reason the presidents

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Speaker 1: have been doing that lately is because Congress won't do

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Speaker 1: their freaking job. And also that's.

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Speaker 2: An interesting argument there.

439
00:22:10,040 --> 00:22:12,240
Speaker 1: Yeah, the only problem with having an idea to votes

440
00:22:12,280 --> 00:22:15,359
Speaker 1: you have to deal with the freaking government that really

441
00:22:15,480 --> 00:22:18,919
Speaker 1: just sucks. Hey, Brandon, So I guess to that point,

442
00:22:19,200 --> 00:22:21,200
Speaker 1: you know, libs I feel like, are stepping in their

443
00:22:21,240 --> 00:22:25,879
Speaker 1: own mess lack of a better term, saying well, you

444
00:22:25,880 --> 00:22:27,639
Speaker 1: need an ID to vote, and it's super difficult to

445
00:22:27,640 --> 00:22:29,760
Speaker 1: get an ID. And also we're the reason, the big

446
00:22:29,800 --> 00:22:32,240
Speaker 1: government people of why it's super difficult to get an ID.

447
00:22:32,320 --> 00:22:34,600
Speaker 1: It kind of seems like a circular, kind of ironic

448
00:22:34,640 --> 00:22:36,080
Speaker 1: situation they got going on there.

449
00:22:37,960 --> 00:22:38,240
Speaker 9: Yeah.

450
00:22:38,359 --> 00:22:42,360
Speaker 4: I just the irony in all this is they come

451
00:22:42,440 --> 00:22:48,040
Speaker 4: off as the most racist people with their arguments they are.

452
00:22:48,280 --> 00:22:51,719
Speaker 4: You know, it's like a few years ago, was it

453
00:22:51,800 --> 00:22:55,640
Speaker 4: Kamala Vice President Kamala Harris said, you know, black people

454
00:22:55,720 --> 00:22:58,600
Speaker 4: don't know how to use computers, and then you see

455
00:22:58,600 --> 00:23:03,720
Speaker 4: these people on TikTok, you know, these black men on

456
00:23:03,760 --> 00:23:07,280
Speaker 4: TikTok parading around the computer trying to figure it out

457
00:23:07,320 --> 00:23:10,480
Speaker 4: like it's their Zoolander or something, and you know, they

458
00:23:10,560 --> 00:23:13,320
Speaker 4: just they say the most insulting things to these people,

459
00:23:13,359 --> 00:23:15,960
Speaker 4: like oh, we can't have voter ID because they don't

460
00:23:16,000 --> 00:23:18,000
Speaker 4: know how to get to the DMV. We can't have

461
00:23:18,080 --> 00:23:20,720
Speaker 4: voter ID because they don't know how to obtain an ID.

462
00:23:21,040 --> 00:23:24,959
Speaker 4: It's like, these are people that know how this world works.

463
00:23:25,119 --> 00:23:28,439
Speaker 4: So the more they say it, the more racist and

464
00:23:28,520 --> 00:23:29,359
Speaker 4: looney they look.

465
00:23:30,080 --> 00:23:33,359
Speaker 1: Yeah, I couldn't agree more. It's very a demeaning to

466
00:23:33,800 --> 00:23:36,040
Speaker 1: folks like me. Who I actually I figured it out.

467
00:23:36,320 --> 00:23:39,679
Speaker 1: It's I figured out how to prove my citizenship, So

468
00:23:40,040 --> 00:23:43,600
Speaker 1: I guess I'm I'm just one of the smarter ones

469
00:23:43,640 --> 00:23:46,920
Speaker 1: according to the libs. Uh So, this is actually interesting

470
00:23:47,000 --> 00:23:48,520
Speaker 1: and I would love to get both of your takes

471
00:23:48,560 --> 00:23:51,760
Speaker 1: on this. We got about a minute left here. TikTok

472
00:23:52,000 --> 00:23:54,399
Speaker 1: has a forced sale. The deadline is Saturday, and the

473
00:23:54,480 --> 00:23:57,119
Speaker 1: big new player that's jumped in is Amazon looking to

474
00:23:57,119 --> 00:24:00,199
Speaker 1: buy TikTok real quick, Dave, what do we think? Do

475
00:24:00,200 --> 00:24:03,400
Speaker 1: we trust Amazon over the Chinese Communist Party? I would

476
00:24:03,440 --> 00:24:05,760
Speaker 1: probably say so, but it doesn't mean I necessarily trust

477
00:24:05,760 --> 00:24:06,359
Speaker 1: them wholeheartedly.

478
00:24:06,480 --> 00:24:11,119
Speaker 5: Your thoughts, well, you know, it would be hypocritical for

479
00:24:11,160 --> 00:24:15,000
Speaker 5: me to say that I don't try Amazon, because I

480
00:24:15,160 --> 00:24:19,040
Speaker 5: purchased things from Amazon all the time time, and a

481
00:24:19,119 --> 00:24:21,080
Speaker 5: vast majority of those things are made in China, So

482
00:24:23,080 --> 00:24:25,760
Speaker 5: you know, I don't really care who purchases TikTok at

483
00:24:25,760 --> 00:24:29,520
Speaker 5: this At this point, I have a TikTok. I feel

484
00:24:29,520 --> 00:24:34,199
Speaker 5: shameful in it in that I just don't know what

485
00:24:34,280 --> 00:24:38,679
Speaker 5: I'm gonna do if TikTok get gets banned, and you know,

486
00:24:38,720 --> 00:24:42,240
Speaker 5: I can't make my bake my dop a month from

487
00:24:42,320 --> 00:24:44,000
Speaker 5: the terrible dances that I could.

488
00:24:43,800 --> 00:24:48,040
Speaker 1: Potentially Brandon, Uh, do you think Amazon is going to

489
00:24:48,080 --> 00:24:50,240
Speaker 1: be a would be a good purchaser if they were

490
00:24:50,280 --> 00:24:51,800
Speaker 1: able to secure that deal.

491
00:24:53,480 --> 00:24:57,359
Speaker 4: I mean, Amazon is obviously a successful business. Uh, so

492
00:24:57,640 --> 00:25:00,880
Speaker 4: there's no doubt that they'll be able to to sustain

493
00:25:00,960 --> 00:25:04,280
Speaker 4: it and you know, maybe even enhance it with security

494
00:25:04,280 --> 00:25:08,840
Speaker 4: measures or features or whatever. But you know, to hit

495
00:25:08,920 --> 00:25:11,680
Speaker 4: Dave's point, I don't really care who buys it either,

496
00:25:11,720 --> 00:25:14,639
Speaker 4: because at this point I just assume whether it be

497
00:25:14,720 --> 00:25:17,679
Speaker 4: the CCP or Amazon, or the US government or my

498
00:25:17,720 --> 00:25:21,080
Speaker 4: next door neighbor, they got all my information, so you know,

499
00:25:21,240 --> 00:25:24,960
Speaker 4: wherever they go, whichever way they decide, is fine with me.

500
00:25:25,560 --> 00:25:27,960
Speaker 1: It'll be really interesting to watch that play out over

501
00:25:27,960 --> 00:25:31,000
Speaker 1: the weekend. David Han Brandon, Dre thanks so much for

502
00:25:31,080 --> 00:25:34,280
Speaker 1: joining us, really appreciate you taking the time. Thank you

503
00:25:35,240 --> 00:25:37,359
Speaker 1: all right, Hey, Coming up next is a clip from

504
00:25:37,359 --> 00:25:41,480
Speaker 1: Alex Clark's Culture Apothecary podcast and also Throw Down Thursday.

505
00:25:41,680 --> 00:25:44,040
Speaker 1: Right after that, don't go, We'll be right back after this.

506
00:25:51,840 --> 00:25:54,720
Speaker 10: If you can afford it, is it actually important to

507
00:25:54,920 --> 00:25:58,240
Speaker 10: opt for the non GMO organic grass fed, grass finished

508
00:25:58,520 --> 00:25:59,879
Speaker 10: just meets for your pets.

509
00:26:00,040 --> 00:26:01,840
Speaker 3: It is, if you can afford it.

510
00:26:01,880 --> 00:26:05,880
Speaker 11: The only reason not to do that is it's astronomically expensive.

511
00:26:05,920 --> 00:26:07,600
Speaker 11: If you've been blessed enough to make money where you

512
00:26:07,600 --> 00:26:10,639
Speaker 11: can nourish your body in a chemical freeway, do it.

513
00:26:10,720 --> 00:26:14,800
Speaker 11: We have enough environmental exposure Otherwise. If you can't, then

514
00:26:15,000 --> 00:26:18,760
Speaker 11: by conventionally raised animals and produce and wash your produce

515
00:26:18,880 --> 00:26:20,720
Speaker 11: and do what you can. There are things that we

516
00:26:20,760 --> 00:26:22,800
Speaker 11: can do to help minimize the amount of glyphicate, you know,

517
00:26:22,840 --> 00:26:26,679
Speaker 11: coming into the body. So you're then pivoting towards conventionally

518
00:26:26,760 --> 00:26:29,639
Speaker 11: raised fresh fruits and veggies. But research is pretty clear

519
00:26:29,720 --> 00:26:32,639
Speaker 11: that even if you can't afford organic, free range, ethically

520
00:26:32,720 --> 00:26:36,520
Speaker 11: sourced and slaughtered everything, eating fresh and minimally processed foods,

521
00:26:36,560 --> 00:26:40,400
Speaker 11: that the levels of polyphenols and flavonoids antioxidants in those

522
00:26:40,440 --> 00:26:44,000
Speaker 11: fresh foods actually outweighs the potential risk of you know,

523
00:26:44,160 --> 00:26:46,879
Speaker 11: ingesting a water glyphisicate. If you're buying fresh fruits and veggies,

524
00:26:46,920 --> 00:26:49,160
Speaker 11: you can, you know, you can wash those fresh foods

525
00:26:49,160 --> 00:26:51,119
Speaker 11: and veggies in a way that helps reduce the amount

526
00:26:51,119 --> 00:26:53,280
Speaker 11: of environmental contamination that you're passing up the food chain.

527
00:26:53,880 --> 00:26:59,240
Speaker 11: But even conventionally raised fruits, vegetables, and livestock that then

528
00:26:59,320 --> 00:27:01,960
Speaker 11: become food for our dogs and cats, the quality is

529
00:27:02,040 --> 00:27:04,920
Speaker 11: substantially better than anything that you would be buying at

530
00:27:05,080 --> 00:27:06,080
Speaker 11: any big box store.

531
00:27:06,160 --> 00:27:08,479
Speaker 10: Okay, but even what you just said there is so

532
00:27:09,359 --> 00:27:12,080
Speaker 10: encouraging and gives so much grace to parents who are

533
00:27:12,119 --> 00:27:14,320
Speaker 10: already stressing about being really on a tight budget with

534
00:27:14,359 --> 00:27:16,160
Speaker 10: their family and trying to feed their kids.

535
00:27:16,240 --> 00:27:16,600
Speaker 3: Helpful.

536
00:27:17,119 --> 00:27:20,399
Speaker 10: Like what you just said about even conventionally raised, like

537
00:27:20,640 --> 00:27:24,200
Speaker 10: eating just real food is still going to outweigh the

538
00:27:24,240 --> 00:27:26,960
Speaker 10: potential risk of other stuff that that's still really important.

539
00:27:27,000 --> 00:27:29,359
Speaker 11: It's really important, and I think this sometimes the guilt

540
00:27:29,400 --> 00:27:31,240
Speaker 11: that we have, especially as moms.

541
00:27:31,000 --> 00:27:32,720
Speaker 3: Whether it's two legged kids or four legged.

542
00:27:32,880 --> 00:27:37,200
Speaker 11: Having information like eating fewer pesticides is a wise idea,

543
00:27:37,240 --> 00:27:39,919
Speaker 11: of course it is, but not being able to afford

544
00:27:40,000 --> 00:27:42,959
Speaker 11: to do that. That is an incredible stressor in our

545
00:27:43,000 --> 00:27:45,960
Speaker 11: hearts because we know better, we just can't afford to

546
00:27:46,000 --> 00:27:50,240
Speaker 11: do better. When we can afford to do better, do better.

547
00:27:50,600 --> 00:27:54,840
Speaker 11: So visit your local farmers' markets, check out food co ops.

548
00:27:54,920 --> 00:27:57,280
Speaker 11: I have some of the most amazing clients that are

549
00:27:57,280 --> 00:28:00,520
Speaker 11: on a really tight budget, a shoe string budget, And

550
00:28:00,560 --> 00:28:02,840
Speaker 11: it was important to me that when I started suggesting

551
00:28:02,880 --> 00:28:05,439
Speaker 11: homemade meals that I didn't make it seem like this

552
00:28:05,560 --> 00:28:08,560
Speaker 11: was an elitist way to feed that if you when

553
00:28:08,600 --> 00:28:11,080
Speaker 11: you are trimming the tops and bottoms of your carrots off,

554
00:28:11,400 --> 00:28:14,960
Speaker 11: you can recycle those into the roughage that can become

555
00:28:15,119 --> 00:28:18,240
Speaker 11: a homemade meal for your dog. When you are preparing

556
00:28:18,280 --> 00:28:21,320
Speaker 11: your two legged family's meals and you're trimming off excess,

557
00:28:21,880 --> 00:28:25,200
Speaker 11: dogs and cats don't need perfect cuts of meat, they

558
00:28:25,200 --> 00:28:27,440
Speaker 11: don't need perfectly flawless.

559
00:28:26,920 --> 00:28:27,720
Speaker 3: Fruits and veggies.

560
00:28:27,800 --> 00:28:32,639
Speaker 11: They can eat our human leftovers in a nutritionally complete

561
00:28:32,680 --> 00:28:35,800
Speaker 11: meal and do great with it, and the quality is

562
00:28:35,800 --> 00:28:38,480
Speaker 11: so much better than anything that they would be eating otherwise.

563
00:28:38,680 --> 00:28:41,760
Speaker 10: When you are feeding them raw meat, I'm assuming you're

564
00:28:41,800 --> 00:28:42,840
Speaker 10: thawing it first.

565
00:28:42,960 --> 00:28:44,720
Speaker 3: Yes, okay, so it's thawed.

566
00:28:44,840 --> 00:28:48,840
Speaker 10: And then how do you make a nutritionally complete raw

567
00:28:49,040 --> 00:28:50,360
Speaker 10: food meal for a pet.

568
00:28:50,240 --> 00:28:53,040
Speaker 11: You follow a recipe that says right on the recipe,

569
00:28:53,080 --> 00:28:57,080
Speaker 11: this food has been formulated to meet minimum nutrient requirements

570
00:28:57,120 --> 00:28:59,640
Speaker 11: for AFCO. AFCO is the American Association of Feed Control

571
00:28:59,640 --> 00:29:02,920
Speaker 11: off Fishing. That's the organization in the US that deems

572
00:29:02,960 --> 00:29:06,000
Speaker 11: this minimum amount of vitamins and minerals needed for dogs

573
00:29:06,000 --> 00:29:09,400
Speaker 11: and cats to sustain life. The reason that veterinarians around

574
00:29:09,400 --> 00:29:13,480
Speaker 11: the world discourage home cooking for pets is people just guess.

575
00:29:13,480 --> 00:29:15,479
Speaker 11: They're like, well, I've got some grouned beef, i have

576
00:29:15,520 --> 00:29:17,600
Speaker 11: some carrots and some veggies. I'm going to throw it together,

577
00:29:17,720 --> 00:29:20,000
Speaker 11: and my dog loves it. Of course, your dog loves it.

578
00:29:20,040 --> 00:29:22,480
Speaker 11: That's the freshest food that your dogger cat has ever eaten.

579
00:29:22,640 --> 00:29:25,600
Speaker 11: The downside is there's no vitamin, no vitaminin no calcay.

580
00:29:25,640 --> 00:29:27,640
Speaker 11: There's a bunch of things that can go wrong. Now,

581
00:29:27,720 --> 00:29:31,040
Speaker 11: a meal of nutritionally imbalanced food fine. We eat not

582
00:29:31,160 --> 00:29:34,800
Speaker 11: healthily regularly as humans. The body's resilient and strong. What

583
00:29:34,880 --> 00:29:37,240
Speaker 11: you don't want to do is put a growing puppy

584
00:29:37,320 --> 00:29:42,040
Speaker 11: or kitten on profoundly deficient meals day after day, and

585
00:29:42,200 --> 00:29:44,560
Speaker 11: even for adult animals. You want to make sure that

586
00:29:44,640 --> 00:29:48,400
Speaker 11: you are in the ballpark of generally meeting your pets

587
00:29:48,480 --> 00:29:51,760
Speaker 11: nutritional requirements on a pretty regular basis, and you do

588
00:29:51,840 --> 00:29:53,840
Speaker 11: that by following a recipe, okay.

589
00:29:53,600 --> 00:29:56,040
Speaker 12: And you can just google like raw pat food recipes

590
00:29:56,120 --> 00:29:56,640
Speaker 12: or book.

591
00:29:57,360 --> 00:30:00,280
Speaker 11: So what I would say is research shows this is

592
00:30:00,320 --> 00:30:04,280
Speaker 11: another arguing point that many conventional bets will bring up

593
00:30:04,320 --> 00:30:06,120
Speaker 11: to me, and they are right. Ninety percent of the

594
00:30:06,120 --> 00:30:10,400
Speaker 11: recipes that you find online are not nutritionally complete. There

595
00:30:10,440 --> 00:30:13,360
Speaker 11: are beautiful pet parents that say, my dog loves this recipe,

596
00:30:13,360 --> 00:30:14,080
Speaker 11: you should feed it.

597
00:30:14,440 --> 00:30:16,280
Speaker 3: So it's the qualifying statement.

598
00:30:16,400 --> 00:30:19,360
Speaker 11: How you know that the recipe that you're following is

599
00:30:19,480 --> 00:30:22,680
Speaker 11: probably meeting minimum nutritional requirements is it will say this

600
00:30:22,720 --> 00:30:27,120
Speaker 11: recipe has been formulated to meat afcminimum nutritional requirements and

601
00:30:27,640 --> 00:30:30,400
Speaker 11: it comes with a printout that has the breakdown of

602
00:30:30,440 --> 00:30:33,520
Speaker 11: all the amino acids, fatty acids, as well as vitamins

603
00:30:33,560 --> 00:30:36,120
Speaker 11: and minerals in that recipe. Okay, it's an easy way

604
00:30:36,160 --> 00:30:39,440
Speaker 11: to discern someone who's guessing with the homemade recipe and

605
00:30:39,680 --> 00:30:43,080
Speaker 11: a veterinary nutritionist or a qualified pet nutritionists that has

606
00:30:43,280 --> 00:30:45,440
Speaker 11: formulated the recipe to be nutritionally complete.

607
00:30:45,480 --> 00:30:45,720
Speaker 3: Okay.

608
00:30:45,720 --> 00:30:48,160
Speaker 10: So when it comes to raw dog food brands that

609
00:30:48,200 --> 00:30:50,800
Speaker 10: are making the little patties or scoops of meat and

610
00:30:50,840 --> 00:30:53,480
Speaker 10: everything for you that are supposed to be nutritionally complete,

611
00:30:53,840 --> 00:30:56,320
Speaker 10: which brands do you think are doing it right? You

612
00:30:56,480 --> 00:30:58,000
Speaker 10: like these and which ones are you like.

613
00:30:58,040 --> 00:31:00,440
Speaker 3: Stay away from? Just like the kibble industry.

614
00:31:00,480 --> 00:31:05,480
Speaker 11: Actually, across every category, whether it's kibbl freeze dried, dehydrated,

615
00:31:05,560 --> 00:31:09,400
Speaker 11: gently cooked, oven baked, air dried, or raw, there's all

616
00:31:09,440 --> 00:31:12,040
Speaker 11: of these different categories and pet food, you need to

617
00:31:12,160 --> 00:31:15,040
Speaker 11: call your manufacture and say, hey, I just listened to

618
00:31:15,120 --> 00:31:18,280
Speaker 11: a podcast. I was wondering if you would share with

619
00:31:18,360 --> 00:31:23,160
Speaker 11: me your complete nutritional analysis. It's over twenty one individual nutrients.

620
00:31:23,160 --> 00:31:25,920
Speaker 11: It's not five or six, it's over twenty five. Actually,

621
00:31:26,880 --> 00:31:29,960
Speaker 11: if your pet food company says that's proprietary, that's what

622
00:31:30,000 --> 00:31:31,960
Speaker 11: all the top five companies will say is, ooh, we

623
00:31:32,080 --> 00:31:33,560
Speaker 11: can't tell you what's in our food.

624
00:31:33,840 --> 00:31:36,560
Speaker 3: That's a secret. Can you imagine now?

625
00:31:36,680 --> 00:31:40,800
Speaker 11: Can you can you imagine like providing infant baby formula

626
00:31:40,880 --> 00:31:43,440
Speaker 11: for your human toddler calling the company and saying, hey,

627
00:31:43,440 --> 00:31:44,960
Speaker 11: I had to put my kid on formula. I'd like

628
00:31:45,000 --> 00:31:46,640
Speaker 11: to know what's in the formula and the company saying

629
00:31:46,960 --> 00:31:51,160
Speaker 11: that's proprietary. Absolutely not. And yet the top pet food

630
00:31:51,160 --> 00:31:54,480
Speaker 11: companies in the world refuse to even give veterinarians a

631
00:31:54,520 --> 00:31:56,880
Speaker 11: complete nutritional analysis. If I were to call Mars or

632
00:31:56,960 --> 00:31:58,840
Speaker 11: Periana right now and say, hey, could you just send

633
00:31:58,840 --> 00:32:00,880
Speaker 11: me what's in this brain of food, they will.

634
00:32:00,720 --> 00:32:02,560
Speaker 3: Say it's proprietary. Wow.

635
00:32:02,920 --> 00:32:06,040
Speaker 11: How you judge the transparency of a company and how

636
00:32:06,120 --> 00:32:07,920
Speaker 11: you know in your heart that you are meeting your

637
00:32:07,960 --> 00:32:11,920
Speaker 11: animals minimum nutrient requirements? Also not toxifying your animal with

638
00:32:11,960 --> 00:32:14,000
Speaker 11: too much copper and iron and some of those heavy

639
00:32:14,000 --> 00:32:17,160
Speaker 11: metals that are dumped into commercially available pet foods in

640
00:32:17,280 --> 00:32:20,720
Speaker 11: huge amounts. So we have a deficiency concern, yes, but

641
00:32:20,800 --> 00:32:22,880
Speaker 11: we also have an excess concern.

642
00:32:23,760 --> 00:32:24,480
Speaker 3: And how do we know?

643
00:32:25,400 --> 00:32:27,680
Speaker 11: Companies that are proud of the pet foods that they're

644
00:32:27,680 --> 00:32:31,480
Speaker 11: making will gladly email you a complete nutritional analysis, and

645
00:32:31,520 --> 00:32:35,080
Speaker 11: you can look and see companies that refuse to send

646
00:32:35,200 --> 00:32:37,560
Speaker 11: you a complete breakdown of what their food is. Don't

647
00:32:37,600 --> 00:32:40,240
Speaker 11: support those companies. Then it becomes crystal clear and really

648
00:32:40,280 --> 00:32:43,040
Speaker 11: easy to choose transparent companies that are proud of their

649
00:32:43,040 --> 00:32:48,200
Speaker 11: products versus companies that are hiding behind this whole proprietary excuse.

650
00:32:48,400 --> 00:32:50,360
Speaker 12: So let me tell you what I'm feeding Mochi and

651
00:32:50,400 --> 00:32:51,120
Speaker 12: then just tell me.

652
00:32:51,120 --> 00:32:52,840
Speaker 10: If I have a lot of work to do as

653
00:32:52,840 --> 00:32:54,840
Speaker 10: a dog mom, or like this is probably okay.

654
00:32:55,400 --> 00:32:58,160
Speaker 12: I'm doing two.

655
00:32:57,520 --> 00:33:04,840
Speaker 10: Small batch raw rabbit or turkey patties because the vet

656
00:33:04,920 --> 00:33:08,520
Speaker 10: said to me, my holistic vet said that Mochi runs hot,

657
00:33:08,920 --> 00:33:10,680
Speaker 10: so he needs to do cooler meats.

658
00:33:10,720 --> 00:33:11,520
Speaker 3: Just some pumpkin.

659
00:33:11,840 --> 00:33:14,360
Speaker 10: I do a little supplement from doctor Harvey's there's a

660
00:33:14,400 --> 00:33:15,480
Speaker 10: day one in a night one.

661
00:33:15,840 --> 00:33:16,360
Speaker 3: And then.

662
00:33:17,760 --> 00:33:19,680
Speaker 10: She told me I need to add some crunchy so

663
00:33:19,760 --> 00:33:23,200
Speaker 10: I put like some kind of organic little crunchy food

664
00:33:23,280 --> 00:33:26,040
Speaker 10: topper on there, and that's it. But I feel like

665
00:33:26,240 --> 00:33:28,320
Speaker 10: there's more I could be doing. So what is your

666
00:33:28,760 --> 00:33:29,800
Speaker 10: honest assessment?

667
00:33:30,160 --> 00:33:31,560
Speaker 3: So first of all, you're doing great.

668
00:33:31,720 --> 00:33:36,080
Speaker 11: Okay, that is significantly healthier than what the average dog

669
00:33:36,320 --> 00:33:37,440
Speaker 11: in America's eating.

670
00:33:37,520 --> 00:33:40,040
Speaker 3: So nicely done. Okay. What I will say.

671
00:33:39,880 --> 00:33:41,640
Speaker 11: Is just like the advice I would be giving if

672
00:33:41,680 --> 00:33:44,040
Speaker 11: you had a small kid, a toddler. YEA, the more

673
00:33:44,160 --> 00:33:46,959
Speaker 11: variety you can give your toddler, the better. So I

674
00:33:47,000 --> 00:33:47,760
Speaker 11: love small batch.

675
00:33:47,800 --> 00:33:50,000
Speaker 3: It is human great. They do a great job of

676
00:33:50,080 --> 00:33:50,760
Speaker 3: being transparent.

677
00:33:50,880 --> 00:33:52,920
Speaker 11: You can call the company and they'll gladly send you

678
00:33:52,920 --> 00:33:55,840
Speaker 11: a complete nutrition analysis. Great customer service, but happy to

679
00:33:55,880 --> 00:33:57,680
Speaker 11: help you get the answers you need about their foods,

680
00:33:57,720 --> 00:34:01,080
Speaker 11: which I love. The more variety you can give your animal,

681
00:34:01,080 --> 00:34:04,520
Speaker 11: the better. Now I rotate proteins, I feed my animals

682
00:34:04,560 --> 00:34:06,800
Speaker 11: like I feed myself. I like to eat something different

683
00:34:06,840 --> 00:34:09,480
Speaker 11: every day. I really want to work on microbiome diversification.

684
00:34:09,680 --> 00:34:12,000
Speaker 11: I want to work on building a strong resilient gut

685
00:34:12,000 --> 00:34:13,440
Speaker 11: for myself and my animals.

686
00:34:14,080 --> 00:34:16,360
Speaker 3: So that's done through a lot of nutritional diversity.

687
00:34:16,440 --> 00:34:18,400
Speaker 11: So when I'm having snatchshout the day, if I've got

688
00:34:18,400 --> 00:34:20,239
Speaker 11: a raw almond, I'll share one with my dog. If

689
00:34:20,280 --> 00:34:23,440
Speaker 11: I'm chopping, if I'm eating raspberries, I'll share one with Homer.

690
00:34:23,800 --> 00:34:27,359
Speaker 11: Whatever I'm nibbling on except that limited three ingredient, no

691
00:34:27,360 --> 00:34:28,640
Speaker 11: no list, I'm sharing.

692
00:34:28,360 --> 00:34:31,680
Speaker 3: A bite with my dog. Every bite of fresh food.

693
00:34:31,440 --> 00:34:34,400
Speaker 11: That my dog gets is helping to nourish a specific

694
00:34:34,480 --> 00:34:36,440
Speaker 11: bug in his gut, which means I'm helping to build

695
00:34:36,440 --> 00:34:39,160
Speaker 11: gut resiliency in microbiome diversity. That's a great way to

696
00:34:39,200 --> 00:34:41,799
Speaker 11: build diversity, so you don't have to rotate every day.

697
00:34:42,160 --> 00:34:43,880
Speaker 3: Okay, but I would.

698
00:34:43,600 --> 00:34:48,239
Speaker 11: Tell you rotate flavors and brand periodically just for this

699
00:34:48,360 --> 00:34:49,680
Speaker 11: nutritional diversity aspect.

700
00:34:49,960 --> 00:34:52,040
Speaker 3: Now, crunchy foods don't.

701
00:34:51,840 --> 00:34:54,760
Speaker 11: Clean your dog's teeth anymore than eating crackers or granola

702
00:34:54,760 --> 00:34:57,000
Speaker 11: cleans your teeth. I do agree with your holistic that

703
00:34:57,120 --> 00:34:59,480
Speaker 11: your dog needs to chew, and trying to get a

704
00:34:59,520 --> 00:35:02,760
Speaker 11: Pekinese to like hold a raw bone and really scrape

705
00:35:02,760 --> 00:35:05,040
Speaker 11: plaque and tartar off his teeth, that could be a

706
00:35:05,080 --> 00:35:07,920
Speaker 11: task because part of him, his teeth doesn't even line up.

707
00:35:08,000 --> 00:35:10,239
Speaker 12: Well, that's a huge thing. We had to do a

708
00:35:10,520 --> 00:35:11,360
Speaker 12: massive surgery.

709
00:35:11,400 --> 00:35:14,640
Speaker 10: He had to get a time removed in January because

710
00:35:15,000 --> 00:35:17,120
Speaker 10: there was infections and things going on from before I

711
00:35:17,160 --> 00:35:19,640
Speaker 10: had gotten him a couple months ago, and so he

712
00:35:19,680 --> 00:35:20,600
Speaker 10: had to get a bunch removed.

713
00:35:20,640 --> 00:35:22,360
Speaker 12: And it's because of the way his teeth are. So

714
00:35:22,400 --> 00:35:23,200
Speaker 12: that's what she's trying to do.

715
00:35:23,239 --> 00:35:24,759
Speaker 10: And she did give me some cloths for him to

716
00:35:24,840 --> 00:35:27,200
Speaker 10: chew on to clean teeth or whatever. But as far

717
00:35:27,200 --> 00:35:29,600
Speaker 10: as food goes, that was her suggestion to help a little.

718
00:35:29,640 --> 00:35:31,160
Speaker 3: So you have a high maintenance bread.

719
00:35:31,200 --> 00:35:32,880
Speaker 11: When it comes to dentician, I mean, you're going to

720
00:35:32,960 --> 00:35:34,840
Speaker 11: have to work on his teeth because of the breed

721
00:35:34,880 --> 00:35:37,400
Speaker 11: that he is, he's naturally going to be prone to infections,

722
00:35:37,440 --> 00:35:39,000
Speaker 11: a lot of plaqu and tartar build up, as well

723
00:35:39,040 --> 00:35:41,080
Speaker 11: as bed breath just because he has a party in

724
00:35:41,080 --> 00:35:43,760
Speaker 11: his mouth and he's not even if he is given

725
00:35:43,760 --> 00:35:46,560
Speaker 11: a bone, he probably is not a huge cheer of

726
00:35:46,640 --> 00:35:49,719
Speaker 11: just wanting to hold a raw bone and naturally help

727
00:35:49,800 --> 00:35:52,640
Speaker 11: remove plac and tartar himself. So the more things that

728
00:35:52,719 --> 00:35:55,319
Speaker 11: you can work on and toys that he can chew on,

729
00:35:55,400 --> 00:35:57,359
Speaker 11: that will help reduce the amount of plac and tartar

730
00:35:57,360 --> 00:35:59,759
Speaker 11: that's building up on his teeth. You adding toppers, whole

731
00:35:59,760 --> 00:36:03,080
Speaker 11: food toppers are great. That's another great way to increase

732
00:36:03,280 --> 00:36:07,080
Speaker 11: microbiome diversity, especially if it has dehydrated fruits and veggies

733
00:36:07,120 --> 00:36:07,359
Speaker 11: in it.

734
00:36:07,520 --> 00:36:10,280
Speaker 3: That's the source of anti accidant polyphenols. Excellent.

735
00:36:10,360 --> 00:36:12,319
Speaker 12: Yeah, that's what this is. Crunchy organic food.

736
00:36:12,320 --> 00:36:14,839
Speaker 10: It has like strawberries, blueberries, It's something like that.

737
00:36:14,880 --> 00:36:17,959
Speaker 11: Great, and so that's a nice addition for microbiome maybe

738
00:36:18,000 --> 00:36:19,360
Speaker 11: a little bit of plack and tartar reduction.

739
00:36:19,880 --> 00:36:22,319
Speaker 3: And I love the brand of food that you're feeding, but.

740
00:36:22,560 --> 00:36:24,640
Speaker 11: Just like you probably have a favorite brand of human

741
00:36:24,760 --> 00:36:28,480
Speaker 11: organic food that you love. Only eating that food every

742
00:36:28,560 --> 00:36:30,279
Speaker 11: day for your whole life. Okay, even though it's a

743
00:36:30,320 --> 00:36:32,680
Speaker 11: great brand and you love it, the more diversity you

744
00:36:32,719 --> 00:36:33,520
Speaker 11: can cycle.

745
00:36:33,239 --> 00:36:33,640
Speaker 3: Through the back.

746
00:36:42,800 --> 00:36:45,040
Speaker 1: Welcome back to Turning Point Tonight. We're together, we are

747
00:36:45,120 --> 00:36:46,439
Speaker 1: charting the course of America's culture.

748
00:36:46,440 --> 00:36:47,880
Speaker 2: Will come back. My name is Jobob. Thanks so much

749
00:36:47,880 --> 00:36:48,480
Speaker 2: for sticking with us.

750
00:36:48,520 --> 00:36:51,440
Speaker 1: Remember you can always email the show TPT at tpusa

751
00:36:51,520 --> 00:36:54,680
Speaker 1: dot com. You can email anytime of day. Glenn reads

752
00:36:54,800 --> 00:36:57,760
Speaker 1: one percent of the email's top to bottom a front

753
00:36:57,760 --> 00:37:01,360
Speaker 1: to back whatever you send, tbut at tpusa dot com

754
00:37:01,560 --> 00:37:05,440
Speaker 1: loves to have it. Also, you can comment on Rumble, Facebook, YouTube, Instagram,

755
00:37:05,760 --> 00:37:08,200
Speaker 1: x all of the other social media platforms. We love

756
00:37:08,239 --> 00:37:10,920
Speaker 1: to hear from you. And if your comment or email

757
00:37:11,040 --> 00:37:13,520
Speaker 1: is vile and disgusting, there's actually a good chance that

758
00:37:13,560 --> 00:37:15,680
Speaker 1: we'll read on this show. But not today, because I

759
00:37:15,680 --> 00:37:17,120
Speaker 1: want to hit you to a couple things that you're

760
00:37:17,120 --> 00:37:19,799
Speaker 1: gonna want to know about. The Student Action Summit, the

761
00:37:19,920 --> 00:37:23,080
Speaker 1: Fantastic summer event the Turning Point puts on is happening

762
00:37:23,160 --> 00:37:26,680
Speaker 1: in Tampa, Florida, July eleventh through the thirteenth. You can

763
00:37:26,719 --> 00:37:29,480
Speaker 1: sign up find more information at tpusa dot com and

764
00:37:29,640 --> 00:37:33,200
Speaker 1: also the Young Women's Leadership Summit Why BOLS is happening

765
00:37:33,280 --> 00:37:37,200
Speaker 1: in Dallas June thirteenth through the fifteenth. Now, you cannot

766
00:37:37,280 --> 00:37:40,640
Speaker 1: go to the Young Women's Leadership Conference unless you are

767
00:37:40,680 --> 00:37:44,960
Speaker 1: a woman. That is a big, big you definitely can't

768
00:37:45,120 --> 00:37:48,759
Speaker 1: go there if you're a man, which speaking of is

769
00:37:49,040 --> 00:37:59,520
Speaker 1: what will perfectly lead us into today's throw down Thursday. Okay,

770
00:37:59,560 --> 00:38:01,920
Speaker 1: thank you so much. Thrown on Thursday, lady, watch this

771
00:38:02,040 --> 00:38:06,360
Speaker 1: clip of of somebody who cannot go to watch a WLS.

772
00:38:06,560 --> 00:38:07,480
Speaker 2: Check it out.

773
00:38:07,560 --> 00:38:08,880
Speaker 13: So what is a woman?

774
00:38:09,520 --> 00:38:12,239
Speaker 2: I dude, I don't know that. That one's hard.

775
00:38:12,360 --> 00:38:14,360
Speaker 8: That's yeah, I know that's your dude, that's your line,

776
00:38:14,719 --> 00:38:16,120
Speaker 8: and I think that's hard to say.

777
00:38:16,160 --> 00:38:17,680
Speaker 2: Man, I don't know. But what do you think is

778
00:38:17,719 --> 00:38:18,000
Speaker 2: a woman?

779
00:38:18,239 --> 00:38:20,440
Speaker 13: Well, a woman is an adult female XX chromosome. It's

780
00:38:20,440 --> 00:38:23,560
Speaker 13: not difficult, right, I don't think so. But if you disagree,

781
00:38:23,600 --> 00:38:25,640
Speaker 13: why but then what is your alternative? Oh?

782
00:38:25,680 --> 00:38:26,120
Speaker 2: I don't know.

783
00:38:26,520 --> 00:38:27,440
Speaker 6: So you disagree with that?

784
00:38:27,480 --> 00:38:28,800
Speaker 13: You disagree with that an alternative?

785
00:38:28,920 --> 00:38:29,160
Speaker 7: Yeah?

786
00:38:29,239 --> 00:38:31,600
Speaker 8: Yeah, okay, Well, I mean I think that's I think

787
00:38:31,600 --> 00:38:32,680
Speaker 8: that's a fair thing to say.

788
00:38:32,960 --> 00:38:35,040
Speaker 13: But you can disagree, but you must have some opinion.

789
00:38:35,040 --> 00:38:36,279
Speaker 13: What is your opinion of what a woman.

790
00:38:36,400 --> 00:38:39,080
Speaker 8: I really don't know. I think that's a it's a gender.

791
00:38:39,280 --> 00:38:41,319
Speaker 8: I think it's a gender more than a sex. I

792
00:38:41,320 --> 00:38:46,400
Speaker 8: think sex is female and then a woman is like gender. Yeah,

793
00:38:46,440 --> 00:38:47,239
Speaker 8: that's what I would say.

794
00:38:47,280 --> 00:38:51,239
Speaker 13: A civilization that can't define very basic biological terms and

795
00:38:51,320 --> 00:38:54,560
Speaker 13: stay close to them is a civilization and moral chaos.

796
00:38:57,320 --> 00:39:00,520
Speaker 1: I'm sorry. And again those of you who send your

797
00:39:00,760 --> 00:39:03,200
Speaker 1: your emails that are very upset that we showed you

798
00:39:03,280 --> 00:39:07,399
Speaker 1: something that unfortunately may cause eye bleeding, like that dude

799
00:39:07,440 --> 00:39:11,719
Speaker 1: in that dress, I apologize greatly. But yeah, that guy

800
00:39:11,760 --> 00:39:14,320
Speaker 1: can't come to YWLS as he is not a woman

801
00:39:14,680 --> 00:39:17,440
Speaker 1: and is apparently dumb enough to not know what a

802
00:39:17,520 --> 00:39:21,759
Speaker 1: woman is the whole Uh, what's an adult female human being?

803
00:39:21,840 --> 00:39:21,920
Speaker 7: That?

804
00:39:22,040 --> 00:39:24,000
Speaker 1: Yes, that is what a that is what a woman is.

805
00:39:24,239 --> 00:39:26,840
Speaker 1: And the making the argument of well, it's a gender

806
00:39:26,880 --> 00:39:29,920
Speaker 1: and gender is a social construct, No, it's not.

807
00:39:30,120 --> 00:39:31,160
Speaker 2: It's just reality.

808
00:39:31,320 --> 00:39:35,840
Speaker 1: Get out of your your crazy college professor classes that

809
00:39:35,880 --> 00:39:38,160
Speaker 1: are telling you all of this nonsense. It's not gonna

810
00:39:38,160 --> 00:39:40,719
Speaker 1: help you in life going forward. If you can't identify

811
00:39:40,840 --> 00:39:44,160
Speaker 1: things for what they are, it's not gonna work out

812
00:39:44,239 --> 00:39:46,040
Speaker 1: very well. If someone says, hey, I want to paint

813
00:39:46,080 --> 00:39:48,480
Speaker 1: my front door and you show up with a frying

814
00:39:48,600 --> 00:39:50,759
Speaker 1: pan and a diesel motor.

815
00:39:51,040 --> 00:39:52,279
Speaker 2: And not not gonna work.

816
00:39:52,400 --> 00:39:54,960
Speaker 1: You have to people identify things for what they are,

817
00:39:55,160 --> 00:39:57,440
Speaker 1: or else you're gonna be lost and confused. Speaking of

818
00:39:57,480 --> 00:39:59,040
Speaker 1: lost and confused, all of you are about to go

819
00:39:59,120 --> 00:40:01,480
Speaker 1: into a state of lost confusionists when turning points tonight

820
00:40:01,520 --> 00:40:03,440
Speaker 1: and Charlie's gonna take us out, and then you know

821
00:40:03,480 --> 00:40:05,040
Speaker 1: who knows what you're gonna do. You should stick around

822
00:40:05,040 --> 00:40:06,600
Speaker 1: and watch the Charlie kirkshow but that's gonna do it

823
00:40:06,640 --> 00:40:09,279
Speaker 1: for us here tonight. We'll see you tomorrow, same time,

824
00:40:09,320 --> 00:40:11,640
Speaker 1: same place with a really actually awesome fun interview that

825
00:40:11,680 --> 00:40:13,760
Speaker 1: you're all gonna love. We will see you then, God

826
00:40:13,840 --> 00:40:23,880
Speaker 1: bless America.

827
00:40:24,239 --> 00:40:26,080
Speaker 13: We have gone into great detail on this program on

828
00:40:26,120 --> 00:40:28,040
Speaker 13: what is a tariff, where to tariffs come from, why

829
00:40:28,080 --> 00:40:30,400
Speaker 13: do certain countries embrace them, and why do they not?

830
00:40:31,680 --> 00:40:34,040
Speaker 13: When you are the income and economic power, tariffs can

831
00:40:34,040 --> 00:40:36,440
Speaker 13: be a tool to bring more money, more investment, and

832
00:40:36,520 --> 00:40:39,799
Speaker 13: more capital back to the homeland. However, in order to

833
00:40:39,960 --> 00:40:42,360
Speaker 13: use tariffs, you have to be willing to look the

834
00:40:42,480 --> 00:40:45,080
Speaker 13: markets in an eye and say, I know you might

835
00:40:45,120 --> 00:40:47,400
Speaker 13: be a little ugly, I know you might be a

836
00:40:47,400 --> 00:40:51,120
Speaker 13: little mean, but I am willing to persevere. I'm willing

837
00:40:51,200 --> 00:40:55,120
Speaker 13: to push through the instant pain so that we can

838
00:40:55,160 --> 00:40:58,759
Speaker 13: have long term success. As we've said many times on

839
00:40:58,760 --> 00:41:02,160
Speaker 13: this program, the West was built thanks to delayed gratification,

840
00:41:02,719 --> 00:41:10,640
Speaker 13: not instant gratification, but instead delaying the inevitable payoff. We

841
00:41:10,680 --> 00:41:13,359
Speaker 13: have wanted to play this piece of tape a couple times.

842
00:41:13,480 --> 00:41:15,480
Speaker 13: I did play it a few weeks ago on this program,

843
00:41:15,520 --> 00:41:17,600
Speaker 13: and it's very important. It's one of my.

844
00:41:17,760 --> 00:41:18,919
Speaker 2: Favorite pieces of tape.

845
00:41:18,920 --> 00:41:21,359
Speaker 13: And credit to the Jesse Water Show for compiling it,

846
00:41:21,400 --> 00:41:24,240
Speaker 13: because I think this piece of tape sets the tone

847
00:41:24,480 --> 00:41:27,120
Speaker 13: from what President Trump announced in the Rose Garden. It

848
00:41:27,239 --> 00:41:29,799
Speaker 13: sets the tone as to what we are doing here.

849
00:41:29,840 --> 00:41:31,759
Speaker 13: And I'll be very honest with you. As I was

850
00:41:31,840 --> 00:41:34,839
Speaker 13: watching the Rose Garden speech and all the networks took it,

851
00:41:36,680 --> 00:41:40,760
Speaker 13: I was getting a little bit emotional. Not emotional because

852
00:41:40,800 --> 00:41:42,799
Speaker 13: of what President Trump was doing at the markets, but

853
00:41:43,719 --> 00:41:49,600
Speaker 13: when I saw a group of fifty five year old

854
00:41:50,440 --> 00:41:56,319
Speaker 13: auto workers, the white working class, with their hard hats on,

855
00:41:57,680 --> 00:42:00,560
Speaker 13: I thought of the countless Maga rallies that I spoke at.

856
00:42:02,480 --> 00:42:06,839
Speaker 13: I thought it the countless political events that I went

857
00:42:06,880 --> 00:42:12,280
Speaker 13: to and I and President Trump, of President Trump and myself,

858
00:42:12,280 --> 00:42:15,560
Speaker 13: I should say, and myself as proxy, would look these

859
00:42:15,560 --> 00:42:17,880
Speaker 13: guys in the eyes, and we would make a promise

860
00:42:17,920 --> 00:42:23,080
Speaker 13: to them. We would say, to these white working class men,

861
00:42:23,520 --> 00:42:25,920
Speaker 13: elect us, and we are going to fight for you.

862
00:42:26,040 --> 00:42:28,760
Speaker 13: We're going to do mass deportations. We're going to stop

863
00:42:28,800 --> 00:42:31,360
Speaker 13: the stem on the southern borders, the flow of illegal

864
00:42:31,400 --> 00:42:34,400
Speaker 13: immigration and drugs, and we are going to use tariffs.

865
00:42:35,960 --> 00:42:40,680
Speaker 13: And these polite, mild mattern mid what mattered Midwestern patriots

866
00:42:41,960 --> 00:42:47,640
Speaker 13: that work for Ford or General Motors, that work in

867
00:42:48,239 --> 00:42:52,759
Speaker 13: manufacturing plants, those that still exist, would applaud as if

868
00:42:52,760 --> 00:42:55,000
Speaker 13: it was a lifeline. As we say on this program,

869
00:42:55,080 --> 00:42:57,600
Speaker 13: they're the ones that shower before work, and they shower

870
00:42:57,719 --> 00:42:59,759
Speaker 13: after work. And I got a little emotional watching that

871
00:43:00,200 --> 00:43:04,080
Speaker 13: Garden speech. And as those very same guys that we

872
00:43:04,120 --> 00:43:09,520
Speaker 13: have campaigned for can say that we voted for this,

873
00:43:10,800 --> 00:43:13,880
Speaker 13: Donald Trump won the heartland because of these swing voters.

874
00:43:14,080 --> 00:43:18,080
Speaker 13: These are the Reagan Democrats. These are the Obama Democrats

875
00:43:18,120 --> 00:43:20,360
Speaker 13: that voted for Obama, and some of them even voted

876
00:43:20,360 --> 00:43:23,120
Speaker 13: for Joe Biden in twenty twenty, and they came back

877
00:43:23,120 --> 00:43:25,920
Speaker 13: home and you look right there, on screen. These are

878
00:43:25,920 --> 00:43:30,560
Speaker 13: the garbage truck drivers, the UAW members, And I thought

879
00:43:30,600 --> 00:43:34,319
Speaker 13: to myself, it is very unique to see a politician

880
00:43:34,760 --> 00:43:38,400
Speaker 13: do what he said he was going to do, regardless

881
00:43:38,440 --> 00:43:43,040
Speaker 13: of what the media and the institutions of power threaten

882
00:43:43,280 --> 00:43:46,400
Speaker 13: him with. So I want to just set the tone,

883
00:43:46,440 --> 00:43:50,080
Speaker 13: to set the vibe of our conversation around this historic

884
00:43:50,239 --> 00:43:57,920
Speaker 13: Liberation Day speech with why we are here. This is Jonestown,

885
00:43:58,000 --> 00:44:01,600
Speaker 13: Pennsylvania before I was born. This started this sequence. This

886
00:44:01,760 --> 00:44:03,800
Speaker 13: right here we're about to play is what President Trump

887
00:44:04,000 --> 00:44:07,160
Speaker 13: is aiming to solve in the Rose Garden. Thirty two

888
00:44:07,200 --> 00:44:11,880
Speaker 13: years of managed decline, thirty two years, thirty five years,

889
00:44:11,880 --> 00:44:15,680
Speaker 13: you could say, forty years of the slipping of American

890
00:44:15,719 --> 00:44:20,400
Speaker 13: manufacturing dominance. It's a very difficult clip to watch and

891
00:44:20,520 --> 00:44:23,920
Speaker 13: multiply it by sixty thousand. Play cut one twenty.

892
00:44:23,640 --> 00:44:28,960
Speaker 14: Three forageous Hot Molten steel has been the likeeblood of Johnstown,

893
00:44:29,280 --> 00:44:33,279
Speaker 14: vigorously pumping dollars and jobs through the city's veins. But

894
00:44:33,440 --> 00:44:36,680
Speaker 14: now the pulse of the community is in cardiac or rest.

895
00:44:36,920 --> 00:44:40,719
Speaker 14: Bethlehem officials aren't making any more comments than what's contained in.

896
00:44:40,640 --> 00:44:41,560
Speaker 3: This press release.

897
00:44:41,880 --> 00:44:43,280
Speaker 6: They're sorry, but it's.

898
00:44:43,120 --> 00:44:46,360
Speaker 14: Simply not cost effective to run the mill any longer.

899
00:44:46,719 --> 00:44:48,960
Speaker 2: It does hurt, and there's a dramatic spin off.

900
00:44:48,960 --> 00:44:51,600
Speaker 13: It's going to come from that, and there's going to

901
00:44:51,600 --> 00:44:53,440
Speaker 13: be a lot of problems that have to be solved.

902
00:44:53,640 --> 00:44:57,760
Speaker 14: In part, Bethlehem cites fierce foreign competition and the national

903
00:44:57,800 --> 00:45:01,959
Speaker 14: economy for their demise. For some Ethlham employees, it's hard

904
00:45:02,000 --> 00:45:03,720
Speaker 14: to look past the shocking news.

905
00:45:03,880 --> 00:45:06,600
Speaker 4: You go, don't rely on the corporation that don't want

906
00:45:06,640 --> 00:45:09,680
Speaker 4: you in a sense, and they don't care you know,

907
00:45:10,120 --> 00:45:11,239
Speaker 4: you only in number.

908
00:45:11,840 --> 00:45:17,040
Speaker 13: Jobs left and drugs came in, factories closed, and communities shattered.

909
00:45:18,320 --> 00:45:19,960
Speaker 13: We thought we were getting the better end of the deal,

910
00:45:20,040 --> 00:45:22,480
Speaker 13: free trade, our leaders told us. George H. W. Bush

911
00:45:22,520 --> 00:45:26,960
Speaker 13: was president when that happened, and William Clinton took off

912
00:45:26,960 --> 00:45:31,480
Speaker 13: as soon after in January of nineteen ninety three. Neither

913
00:45:31,600 --> 00:45:37,160
Speaker 13: actually decided to fix the raping of the heartland. Jd

914
00:45:37,320 --> 00:45:40,880
Speaker 13: Vance ran for the US Senate and eventually became the

915
00:45:40,960 --> 00:45:44,000
Speaker 13: Vice president. Because he is a son of the forgotten

916
00:45:45,000 --> 00:45:48,680
Speaker 13: family of the Midwest, he has a son of the

917
00:45:48,680 --> 00:45:53,760
Speaker 13: forgotten worker of the UAW. Jd Vance understands the shared

918
00:45:53,800 --> 00:45:59,960
Speaker 13: lived experience of the factory workers of Appalachia when Psdent

919
00:46:00,000 --> 00:46:01,960
Speaker 13: Trump was doing in the Rose Garden. He did not

920
00:46:02,160 --> 00:46:03,680
Speaker 13: have to do this. He could have done what every

921
00:46:03,680 --> 00:46:06,840
Speaker 13: politician did. Oh, I'm in my second term. I'm not

922
00:46:07,000 --> 00:46:10,880
Speaker 13: running again. Forget this. I don't actually have to deliver

923
00:46:11,000 --> 00:46:12,480
Speaker 13: on the promise. Is what I said I was going

924
00:46:12,560 --> 00:46:15,439
Speaker 13: to do. He could have coasted like Obama. He could

925
00:46:15,440 --> 00:46:16,560
Speaker 13: have coasted like George W.

926
00:46:16,640 --> 00:46:16,879
Speaker 3: Bush.

927
00:46:17,000 --> 00:46:20,360
Speaker 13: But let's go through the list. Reagan he opened up

928
00:46:20,400 --> 00:46:24,080
Speaker 13: free trade, which destroyed the heartland. It's true Reagan was

929
00:46:24,080 --> 00:46:25,640
Speaker 13: good with a lot of stuff. He was terrible with this.

930
00:46:25,920 --> 00:46:29,279
Speaker 13: He did some terrorists, but not nearly enough. Bill Clinton accelerated.

931
00:46:29,280 --> 00:46:30,719
Speaker 13: George A. W. Bush was terrible.

932
00:46:30,840 --> 00:46:31,279
Speaker 2: George W.

933
00:46:31,360 --> 00:46:34,200
Speaker 13: Bush was awful. Barack Obama terrible. Joe Biden. He's the

934
00:46:34,239 --> 00:46:38,960
Speaker 13: first president in the post World War Two based order

935
00:46:39,160 --> 00:46:44,640
Speaker 13: to say enough. Because President Donald Trump feels an obligation

936
00:46:44,680 --> 00:46:46,600
Speaker 13: with the people that actually put him into office. He

937
00:46:46,680 --> 00:46:49,960
Speaker 13: made a promise, He made a pledge, and to fulfill

938
00:46:50,040 --> 00:46:54,760
Speaker 13: that pledge, and to fulfill that promise requires moral clarity

939
00:46:54,800 --> 00:46:58,719
Speaker 13: that we have not seen from an American president since

940
00:46:58,760 --> 00:47:00,000
Speaker 13: probably Dwight the Guisenhower.

941
00:47:01,760 --> 00:47:02,279
Speaker 2: This is JD.

942
00:47:02,360 --> 00:47:05,799
Speaker 13: Vance, who understands the ramifications, the weight, and the heaviness

943
00:47:06,160 --> 00:47:11,000
Speaker 13: of exactly what President Trump was contesting for in the

944
00:47:11,040 --> 00:47:13,440
Speaker 13: Rose Garden speech known as Liberation Day play cut one

945
00:47:13,520 --> 00:47:13,960
Speaker 13: twenty one.

946
00:47:15,239 --> 00:47:18,319
Speaker 9: There were two conceits that our leadership class had when

947
00:47:18,320 --> 00:47:22,719
Speaker 9: it came to globalization. The first is assuming that we

948
00:47:22,800 --> 00:47:25,720
Speaker 9: can separate the making of things from the design of things.

949
00:47:26,239 --> 00:47:29,680
Speaker 9: The idea of globalization was that rich countries would move

950
00:47:29,719 --> 00:47:32,839
Speaker 9: further up the value chain while the poor countries made

951
00:47:32,920 --> 00:47:36,360
Speaker 9: the simpler things. You would open an iPhone box and

952
00:47:36,400 --> 00:47:40,000
Speaker 9: it would say designed in Cupertino, California. Now the implication,

953
00:47:40,239 --> 00:47:43,400
Speaker 9: of course, is that it would be manufactured, enginein or

954
00:47:43,440 --> 00:47:46,880
Speaker 9: somewhere else. And yeah, some people might lose their jobs

955
00:47:46,920 --> 00:47:50,200
Speaker 9: in manufacturing, but they could learn to design, or, to

956
00:47:50,280 --> 00:47:53,480
Speaker 9: use a very popular phrase, learn to code. But I

957
00:47:53,520 --> 00:47:55,759
Speaker 9: think we got it wrong. It turns out that the

958
00:47:55,800 --> 00:47:59,360
Speaker 9: geographies that do the manufacturing get awfully good at the

959
00:47:59,400 --> 00:48:00,360
Speaker 9: designing of things.