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Speaker 1: Welcome to today's edition of the Clay Travis and Buck

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Speaker 1: Sexton Show podcast.

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Speaker 2: Third hour of Clay and Buck kicks off right now,

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Speaker 2: and we have a really interesting and very troubling story

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Speaker 2: to talk to you about here coming out of NYC.

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Speaker 2: I'm currently sitting here in NYC, my hometown. I love

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Speaker 2: this place. I will always love this place. But it's

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Speaker 2: got its challenges, that's for sure. And here's what you

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Speaker 2: need to know. The City of New York, under the

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Speaker 2: honestly destructive beyond anyone's imagination Bolshevik mayor Deblasio set aside

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Speaker 2: a fund for exactly what has just been announced, which

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Speaker 2: is a one point eight billion dollar settlement for the

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Speaker 2: City of New York that says that a teaching certification

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Speaker 2: test New York State teachers exam for the state.

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Speaker 1: Now, mind you on two point.

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Speaker 3: Eight billion buckets one billion with a point eight billion, yes, sir,

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Speaker 3: think about this for a second, folks.

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Speaker 2: This city is hemorrhaging people because of the taxes. This

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Speaker 2: city is hemorrhaging people because of their radical equity, communist

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Speaker 2: lunacy when it comes to public disorder, crime in the streets,

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Speaker 2: all this stuff.

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Speaker 1: And yet here we are being.

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Speaker 2: Told that the city is giving one point eight billion

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Speaker 2: dollars to over five thousand black and Hispanic recipients. Here

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Speaker 2: and let me tell you why the state of New

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Speaker 2: York had a test. I have seen simple questions from

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Speaker 2: this test, and it was, if you want to be

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Speaker 2: a public school teacher, you have to be able to

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Speaker 2: pass this basic skills exam. It's not that complicated, folks.

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Speaker 2: If you want to teach kids how to read and

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Speaker 2: write and teach them basic arithmetic, you have to be

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Speaker 2: able to do those things. That's why you're a teacher certification.

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Speaker 2: It's not that crazy. Same way we have testing of

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Speaker 2: kids to see if they're proficient, should they move on

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Speaker 2: to the next grade, they need to be held back

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Speaker 2: a year.

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Speaker 1: Well, what we have.

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Speaker 2: Found out is a series of federal judges now Manhattan.

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Speaker 2: This stretches from the nineties all the way up till

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Speaker 2: like twenty fourteen. There's five thousand people who are the

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Speaker 2: nineteen ninety four to twenty fourteen. You have a couple

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Speaker 2: hundred people have already been told play they're getting settlements

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Speaker 2: of a million dollars. One guy got a settlement of

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Speaker 2: two million, fifty five thousand dollars I want ever understand

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Speaker 2: this person took a basic skills test. I have seen

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Speaker 2: the questions. It is like an eighth grader should be

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Speaker 2: able to pass this test. I'm just gonna say it

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Speaker 2: is not complicated. It's not that hard. Maybe a really

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Speaker 2: you know, high achieving ninth grader. It's not that difficult.

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Speaker 2: And they've said that because they don't like the outcome

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Speaker 2: of who passed the test by race. This is a

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Speaker 2: racist test, that's what these federal judges are found. Is

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Speaker 2: there any actual racism in the test? Is there anything

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Speaker 2: in the test that is biased? No, they'd never even

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Speaker 2: but but they don't. They're not okay with They say

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Speaker 2: it is dey facto racism that I'm trying to find

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Speaker 2: the actual actual numbers here of who passed it and

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Speaker 2: what it was, just to give you the exact but

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Speaker 2: that a lot of Asian and white teachers or you know,

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Speaker 2: test takers passed this, and a much smaller percentage of

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Speaker 2: black and Latino test takers passed this. So Clay, they

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Speaker 2: take that as day they're giving. You know why they're

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Speaker 2: giving two million dollars or a million plus dollars to

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Speaker 2: all these different people. They're paying them for an entire

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Speaker 2: career in teaching, of back pay and benefits everything. I

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Speaker 2: mean it, it's I'm gonna find these numbers. But think

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Speaker 2: about this for a second play after the Supreme Court

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Speaker 2: decision we just had. This is blatant racism, It is Marxism,

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Speaker 2: It is wrong.

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Speaker 3: The Plaine Offfs lawyers here are first of all, probably

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Speaker 3: gonna take thirty five percent of this. So in a

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Speaker 3: budget that is already strained in a major way, to

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Speaker 3: give one point eight billion dollars to teachers who weren't

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Speaker 3: able to pass a what sounds like, based on the

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Speaker 3: way you're describing it buck fairly rudimentary. It is a

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Speaker 3: bit basic skills test, folks, Yes, how many questions? I mean,

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Speaker 3: this will be a fun test for you or I

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Speaker 3: to take. And you know, at as guys over forty

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Speaker 3: who haven't been in school in a long time. But

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Speaker 3: teachers unions have borne no consequences for the greatest failure

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Speaker 3: in any of our lives when it comes to the

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Speaker 3: education of children. The front page story last week, the

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Speaker 3: learning loss that was brought on by COVID school shutdown

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Speaker 3: shutdowns has not been altered. Right, In other words, we're

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Speaker 3: not picking back up these kids who didn't go to

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Speaker 3: school from March of twenty twenty in person, some of

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Speaker 3: them not back in school for two years, while teachers

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Speaker 3: were making their full salaries, while teachers were having to

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Speaker 3: do a fraction of the work that they would ordinarily

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Speaker 3: have been doing. And now for New York City, which

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Speaker 3: was among those places that shut down for so long,

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Speaker 3: and buck we did this show for a long time,

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Speaker 3: ridiculing the idea that kids had to go outside in

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Speaker 3: the cold and sit on buckets in separations, socially distancing

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Speaker 3: from one another to eat their school lunches. For this

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Speaker 3: payment to be taking place is an abject failure.

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Speaker 2: And we got to can I give you the numbers?

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Speaker 2: Can give you the numbers of severnders down, I want

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Speaker 2: to hear it. So this is on the lawsuit of

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Speaker 2: the test takers for this for this, you know, teaching

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Speaker 2: certification is an eighty question multiple choice and then an essay.

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Speaker 2: Portion of white test takers passed, so nine out of ten,

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Speaker 2: and I tried to find the number of Asian test takers.

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Speaker 2: I believe it's it's right, it's it's basically the same,

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Speaker 2: very similar. Nine out of ten of the black applicants

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Speaker 2: who took the test fifty three percent past and fifty

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Speaker 2: percent of the Latino applicants who took the test past

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Speaker 2: in the In the the judge's decision here Judge I

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Speaker 2: believe her name is Kimba Wood, appointed by you know,

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Speaker 2: a Democrat.

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Speaker 1: The whole thing.

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Speaker 2: Judge Wood took it as a disparate impact claim, effectively

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Speaker 2: by saying the test is racist because you have different

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Speaker 2: levels of people passing the test from different racial groups.

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Speaker 1: That is it.

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Speaker 2: And we sit and we say, if this is now

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Speaker 2: the standard, if this disparate impact things a standard for

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Speaker 2: the way we judge public life, you have the destruction,

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Speaker 2: the entire destructure of meritocracy. That this comes after the

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Speaker 2: Supreme Court decision that said this is racist. You are

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Speaker 2: not allowed to do this where you give some to

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Speaker 2: some people because of skin color, another to other people

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Speaker 2: the test. But by the way they've done a new

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Speaker 2: version of the test, you know how much it's changed,

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Speaker 2: not very much.

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Speaker 3: Well, how could it test be racist? I mean because

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Speaker 3: in order to be racist, you would have to presume

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Speaker 3: a certain questioning that was a function of whiteness or asianness. Right,

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Speaker 3: So I don't even know what an example of that

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Speaker 3: would be but in order for a test to be racist,

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Speaker 3: there would have to be some basis of knowledge that

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Speaker 3: a white person or an Asian person would have that

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Speaker 3: is not testing. But the multiplication tables are or who

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Speaker 3: the president of a country was in the nineteen twenties,

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Speaker 3: and they have examples. I would just want to know

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Speaker 3: what these kinds were.

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Speaker 2: I mean, I saw one example was a question that

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Speaker 2: was asking you to tell which fraction is between four

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Speaker 2: other fractions.

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Speaker 1: Doesn't seem very racist to me.

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Speaker 2: Point in fact, I think that it's racist to think

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Speaker 2: that that's a racist question, right. I think that that's

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Speaker 2: really showing an expectation deficit from the white Libs who

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Speaker 2: are pushing this at the top level of the city bureaucracy.

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Speaker 2: People are making this from the teachers, unions everything else.

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Speaker 2: I think their motives here are very suspect. But here

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Speaker 2: you go. Here's this is from the New York Post

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Speaker 2: piece on this. One of the recipients, this guy Grim,

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Speaker 2: his last name is Grim. He's got I think he's

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Speaker 2: the one who got the two million dollar settlement. He said,

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Speaker 2: he's in disbelief, but the money can't come fast enough

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Speaker 2: because he's racked up debt in his home and credit cards.

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Speaker 2: He couldn't recite any example of why the test was biased,

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Speaker 2: but I can tell you how many times I took

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Speaker 2: them a lot, a lot because he failed many many times.

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Speaker 2: So even the test takers have no idea why the

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Speaker 2: test was racist.

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Speaker 3: Well, you understand the question, and I would love to

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Speaker 3: hear from people out there who could give me an example.

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Speaker 1: In order for a.

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Speaker 3: Test to be racist, there would have to be some

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Speaker 3: basis of the questions that white and Asian people would

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Speaker 3: have a benefit of that black and Hispanic test takers

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Speaker 3: would not have. And your question on math, I mean

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Speaker 3: it would be impossible, I would think for a math

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Speaker 3: test to be racist. So I'm trying to think what

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Speaker 3: basis of knowledge does whiteness or asianness have that is

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Speaker 3: so advantageous that if you're black or Hispanic you can't

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Speaker 3: pass it.

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Speaker 2: And you know, there's another news story that I want

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Speaker 2: to throw into the mix here, just because I think

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Speaker 2: it's indicative of what the mentality is here in Cambridge,

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Speaker 2: massachue u sits the school district. This just happens. I

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Speaker 2: saw this in the last forty eight hours. The school

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Speaker 2: district has gotten rid of advanced math classes. Why why

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Speaker 2: has the school district said no more higher level math

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Speaker 2: for these students not going to teach it. Too many

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Speaker 2: white and Asian kids, not enough Black and Latino kids.

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Speaker 2: So instead of saying, let's make sure the resources are

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Speaker 2: present to give every opportunity and help black and Latino

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Speaker 2: students that want to be able to achieve this level

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Speaker 2: of math to get there, which, to be clear, Harlem

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Speaker 2: Success Academy has shown this in New York City is

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Speaker 2: possible beating the state average in terms of math and suns.

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Speaker 2: But instead of looking at how this can be done,

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Speaker 2: they just say, nobody gets to learn this anymore. What

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Speaker 2: is that because people's feelings are hurt because they're not

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Speaker 2: good enough at math?

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Speaker 3: That this all comes down to the idea that every

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Speaker 3: race has to be similarly talented in everything. And this

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Speaker 3: is where I always this is in my new book

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Speaker 3: that's coming out in three weeks. This is where I

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Speaker 3: always say sports, which I still think is the ultimate meritocracy.

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Speaker 1: Buck.

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Speaker 3: Imagine if you said that, for instance, the US men's

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Speaker 3: basketball team, which is the best in the world right now,

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Speaker 3: and we got the Olympics coming up next year, what

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Speaker 3: if you said the US men's basketball team, which currently

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Speaker 3: is entirely black, which is really not very diverse at all.

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Speaker 3: Black people thirteen percent of the United States population. Every

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Speaker 3: member of the most recent US men's basketball team was black.

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Speaker 3: Imagine if you said that the men's basketball team had

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Speaker 3: to perfectly reflect the racial makeup of the country. So

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Speaker 3: you had seven white people, three Hispanic people, two black guys,

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Speaker 3: and one Asian kid. Right, you would end up taking

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Speaker 3: ten black jobs away, which would otherwise be deserved based

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Speaker 3: on excellence in basketball, in favor of having a perfectly

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Speaker 3: representative of the United States basketball team.

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Speaker 1: What would happen.

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Speaker 3: The team would be way worse because instead of using

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Speaker 3: the meritocracy and taking the most talented and the best

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Speaker 3: for purposes of a team, you would take the team

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Speaker 3: that looks like America, and god forbid, if you made

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Speaker 3: it half female too, it gets even worse.

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Speaker 2: I mean when you just also think about what's going

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Speaker 2: on here with the city of New York, and this

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Speaker 2: is build a Blasio on the way out another I mean,

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Speaker 2: he was just leaving behind even more stuff to just

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Speaker 2: trash the city. And he's such a nightmare. And I

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Speaker 2: mean even Democrats have figured out. You know, if they

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Speaker 2: want to be safe walking down the streets. You don't

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Speaker 2: want to build a Blasio in charge of anything.

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Speaker 1: But the McClay. Think about this.

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Speaker 2: If you were an Asian test taker and say the

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Speaker 2: year two thousand and you passed this exam, and you

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Speaker 2: worked as a full time teacher for twenty years for

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Speaker 2: your pay and benefits and salary the City of New York.

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Speaker 2: The other people that took the test, they had other jobs.

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Speaker 2: Some of the even went into teaching, but they were

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Speaker 2: given what an Asian or a white test taker who

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Speaker 2: passed was given for twenty years of work. The City

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Speaker 2: of New York is given to black and Latino test

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Speaker 2: takers who failed for free handing it to them. So

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Speaker 2: you can either work for twenty years and earn health

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Speaker 2: care for yourself and your family and do everything like

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Speaker 2: some of the test takers who passed did, or you

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Speaker 2: can fail, go do whatever other job you want and

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Speaker 2: then get a million or two million dollar pay day.

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Speaker 2: And this is what we're paying taxes for here. I mean,

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Speaker 2: it's enraging you. And the fact that the city, the

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Speaker 2: fact that the lives in this city are so brainwashed

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Speaker 2: that they don't see this for exactly what it is.

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Speaker 2: I just I think it's a disgrace. I think it's

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Speaker 2: an absolute disgrace. And the judge that pushed this through

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Speaker 2: is I mean, they're horrible, but it makes them feel good,

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Speaker 2: It makes them think that they're social justice advocates and

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Speaker 2: all the rest of it. So, you know, keep paying

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Speaker 2: those high taxes, New York, so you can give people

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Speaker 2: two million dollars for not doing anything, not suffering any discrimination.

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Speaker 2: But you know, maybe I don't know what else to

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Speaker 2: say if this is where the country's going and the

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Speaker 2: country's in big trouble. I know it's just New York City,

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Speaker 2: but this is this is a reflection of the Democrat

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Speaker 2: mindset here writ large. Look, there's a phrase in life

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Speaker 2: that is worth remembering. Nothing takes the place of preparation.

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Speaker 2: So if you're a gun owner and you love the

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Speaker 2: sport of target practice, you know how gratifying it is

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Speaker 2: to have a great day out of the range to

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Speaker 2: move that skill set along to get better. But like everything,

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Speaker 2: it takes practice, and I can't always get to the range.

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Speaker 2: You can't always get to the range, right. That's why

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Speaker 2: I train at home with a dry fire practice tool

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Speaker 2: called the mantis X. This is a firearms training system

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Speaker 2: that is a no AMMO all electronic way to improve

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Speaker 2: your shooting accuracy. You can use it anytime and keep

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Speaker 2: your skills sharper in the process. My mantis X attaches

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Speaker 2: to my firearm like a weapon weaponlight, rather than I

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Speaker 2: connect it to the mantis X on my iPhone. It

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Speaker 2: gives me drills and courses designed to improve my aim

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Speaker 2: in accuracy. Once you start using this, you're likely to

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Speaker 2: have the same kind of improvement that nearly everybody does.

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Speaker 2: Mantis X users see an improvement within twenty minutes. I mean,

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Speaker 2: try this thing at home. It's so cool. It gets

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Speaker 2: kind of addictive because as you're getting better and getting better,

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Speaker 2: and as your trigger pull is smoother and better, and

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Speaker 2: as your side alignment is improving, as all this comes together,

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Speaker 2: you're gonna want to use it more. Start improving your

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Speaker 2: shooting accuracy today. Get yours at mantisx dot com. That's

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Speaker 2: m A and tis x dot com.

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Speaker 4: Clay Travis and Buck Sexton Making Sense in an Insane World.

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Speaker 3: Welcome back in Play Travis buck Sexton show. As bad

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Speaker 3: as campaigns may be going out there in terms of expectations,

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Speaker 3: versus reality.

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Speaker 1: At least you aren't.

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Speaker 3: Asa Hutchinson, who at one point was the esteemed former

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Speaker 3: governor of Arkansas, decided, I don't know who told him this,

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Speaker 3: Hey you should run for president. There's a lot of

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Speaker 3: people out there. Was he ever esteemed Clay I think

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Speaker 3: in Arkansas people would have had a seam opinion esteemed.

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Speaker 3: I'm trying to be friendly, trying to be fair, and

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Speaker 3: you're not trying to pence the guy, that's for sure. Well,

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Speaker 3: I mean he's pencing himself. Listen to this. At Turning Point, USA,

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Speaker 3: Asa Hutchinson showed up to speak, he got absolutely obliterated

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Speaker 3: by Tucker Carlson in the event. I guess that was

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Speaker 3: Friday right in Iowa. Then he shows up at Turning

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Speaker 3: Point USA. We were talking earlier. He's given away free

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Speaker 3: pizza and only like is sad, only like three or

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Speaker 3: four people are showing up. I mean, if you're giving

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Speaker 3: away pizza and only three I remember Buck, when you

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00:16:37,680 --> 00:16:40,800
Speaker 3: were in college that that was the number one way

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Speaker 3: for a student group to get people to come to

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Speaker 3: their events. They would just give away pizza at the event.

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Speaker 3: I mean, if you're giving away pizza and you can

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Speaker 3: only get a handful of people to show up.

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Speaker 1: It's not a good sign.

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Speaker 3: Here is Hutchinson showing up at Turning Point, USA. This

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Speaker 3: is the crowd reaction from the Republicans there.

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Speaker 5: Welcome ever Boy, it's my I am delighted to be

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Speaker 5: here today to express my support for young people being

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Speaker 5: engaged in the political arena and fighting for the conservative cause.

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Speaker 1: I mean, Buck, everybody is just booing him that. That

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Speaker 1: is like.

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Speaker 3: It reminds me of what happens on The Simpsons when

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Speaker 3: Montgomery Burns tries to come out and talk at the picnic.

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Speaker 3: I mean, this should be his audience is not even Democrats.

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Speaker 1: I mean, what is he thinking? Can you imagine if

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Speaker 1: you walked down?

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Speaker 3: I mean I would enjoy it because it's a little

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00:17:38,880 --> 00:17:42,040
Speaker 3: bit like Vince McMahon walking into into it. But to

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Speaker 3: get booed by all of the people that you think

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Speaker 3: are going to be supportive of you, This is embarrassing.

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Speaker 3: What was as the Hutchinson ever thinking and who was

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Speaker 3: advising him? Well, anyway, that campaign's over. I gotta tell

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Speaker 2: Slay Travis and Buck Sexton the front lines of truth.

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00:19:02,400 --> 00:19:06,200
Speaker 2: So Clay brought this to my attention just a moment ago,

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Speaker 2: and I my first instinct was is this like deep

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Speaker 2: fake stuff or is this AI or no, No, it's

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00:19:14,760 --> 00:19:16,920
Speaker 2: it's real from what we understand.

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Speaker 1: But here it is. Here it is uh.

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Speaker 2: Trump because remember the promise of the Trump presidency is

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Speaker 2: he's going to get revenge on the government and those

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Speaker 2: who have wronged him. And here he is talking about

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Speaker 2: former enemy of MAGA world, Hillary Clinton.

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Speaker 1: Play it.

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Speaker 6: So I took the name Crooked away from Hillary and

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Speaker 6: we gave her a new name, Beautiful. I call it beautiful,

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Speaker 6: that's what. And but I took it away because I

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Speaker 6: wanted I don't believe in the same name for two people.

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Speaker 1: I don't like that.

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Speaker 6: And I've never done this before, you know, I haven't,

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Speaker 6: And you have to live with that name for the

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Speaker 6: rest of your life.

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Speaker 1: I'll go over the different names.

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Speaker 6: But I won't because many of them are now friends

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Speaker 6: of mine.

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Speaker 2: Okay, so some of he's not saying Hillary. Okay, just

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00:20:06,760 --> 00:20:09,200
Speaker 2: to be clear, we got this one was a little bit.

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Speaker 2: Clay said that he was saying that Hillary, but he's

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Speaker 2: not saying Hillary was his friend. He's saying some people

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Speaker 2: he's given names to our his friend. But you know,

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Speaker 2: this is one of these moments where you play that SoundBite,

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Speaker 2: and you say to yourself, he's just funnier and more

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Speaker 2: engaging to the other options, and the value of that

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Speaker 2: in the current political environment, how do you even quantify that? Like,

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Speaker 2: he's he's legitimately funny, he's legitimately amusing, and he's not

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Speaker 2: saying Hillary's his friend. So, to be clear, I thought

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Speaker 2: that's what. That's why I thought it was an AI

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Speaker 2: or a fake because.

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Speaker 3: You know, I'm not the kind of guy to throw

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Speaker 3: the staff under the bus here, buck, That's just not me.

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Speaker 3: You know, I would never, but I'm totally gonna throw

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Speaker 3: up under the bus here. The headline is Trump says

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Speaker 3: Hillary is no longer crooked, crooked Hillary, but beautiful Hillary

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Speaker 3: because they are friends. That's the direct headline. Okay, So

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Speaker 3: but he was, but he joking. He was joking, just

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Speaker 3: so that's what.

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Speaker 2: Just to be clear, I thought it was AI or

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Speaker 2: I was like, what like, but no, he was making

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Speaker 2: a joke, which is why Trump is Trump.

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Speaker 3: Okay, So Trump there is to your point, you're one

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Speaker 3: hundred percent right, by far, the most entertaining person who

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Speaker 3: is running for president on the Republican side.

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Speaker 1: Entertaining not saying you agree.

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Speaker 3: With him I'm not saying that you have to approve

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Speaker 3: of everything that he says, but he is the most

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Speaker 3: entertaining person running on the Republican side.

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Speaker 1: What I don't think anybody.

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Speaker 2: Has just shown me is he the most entertaining person,

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Speaker 2: entertaining person who's ever been in politics in our lifetime.

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Speaker 2: I mean, maybe Reagan was as engaging.

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Speaker 3: But Jesse the Body Venturo is pretty ridiculous back but

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Speaker 3: for presidential candidates.

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Speaker 1: Oh but Jesse Venture is not funny. Trump is funny.

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Speaker 3: Oh, Jesse the Body Ventura was pretty funny. Really, I

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Speaker 3: hope is Jesse body Ventura still live?

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Speaker 5: We know?

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Speaker 1: I mean, I mean, you're put you on the spot, buddy.

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Speaker 3: I think he was pretty funny, but that's been a

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Speaker 3: long time ago. Ross Perrot was pretty funny back in

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Speaker 3: ninety two when he got nineteen percent.

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00:22:08,200 --> 00:22:10,560
Speaker 1: Laugh with him funny or laugh at him funny. I

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Speaker 1: think he was pretty funny.

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00:22:12,160 --> 00:22:15,000
Speaker 3: I remember him having a line like we got people

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00:22:15,040 --> 00:22:18,679
Speaker 3: at work and couldn't work at dairy, queen driving you

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00:22:18,680 --> 00:22:19,399
Speaker 3: know cadillacs.

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Speaker 2: Or he was in college. I was in kindergarten, so

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00:22:21,400 --> 00:22:25,080
Speaker 2: I don't remember this stuff as well. But what you've

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00:22:25,119 --> 00:22:28,679
Speaker 2: hit on is important. I have not, and so Trump

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Speaker 2: is at fifty percent. Let's say Trump's at fifty percent

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00:22:31,200 --> 00:22:33,359
Speaker 2: right now, which seems to be a rough approximation of

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Speaker 2: his of his tally. You are going to have to

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Speaker 2: out entertain Trump in order to.

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Speaker 3: End up the nominee. Let me repeat this, because I

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Speaker 3: don't think you aren't gonna out policy Trump. DeSantis is

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00:22:48,920 --> 00:22:54,000
Speaker 3: way more skilled at analyzing policy. Policy puts most people

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Speaker 3: to sleep. Now there are exceptions. You have to be able.

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00:22:57,920 --> 00:23:00,760
Speaker 3: So DeSantis has got this interview coming up with Jake Tapper.

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Speaker 3: If I were giving advice to Ron DeSantis, I would say,

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Speaker 3: you need to turn that interview with Jake Tapper into

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Speaker 3: a WWE wrestling match, and you need to pick him

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00:23:12,520 --> 00:23:17,239
Speaker 3: up and metaphorically body slam him during that interview, just

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00:23:17,280 --> 00:23:20,159
Speaker 3: to cut through the noise. Because I think DeSantis was

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Speaker 3: at his best. And you remember this buck during COVID

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00:23:24,520 --> 00:23:27,720
Speaker 3: when he was feuding with media that were asking questions

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00:23:27,720 --> 00:23:30,080
Speaker 3: and they were trying to set him up sixty minutes for.

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00:23:30,000 --> 00:23:32,000
Speaker 2: Instance, the best I was gonna say that, the best

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00:23:32,000 --> 00:23:36,320
Speaker 2: DeSantis moment in terms of you know, media cycle, I

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00:23:36,400 --> 00:23:39,639
Speaker 2: think other than winning Florida by twenty points, which was

439
00:23:39,720 --> 00:23:42,640
Speaker 2: pretty amazing. But the best moment he had was when

440
00:23:42,680 --> 00:23:47,280
Speaker 2: that reporter tried the oh, but you got money drid k.

441
00:23:47,480 --> 00:23:49,600
Speaker 1: From from public nothing, which is it?

442
00:23:49,960 --> 00:23:52,119
Speaker 2: And so that's why you rolled the vaccine out in

443
00:23:52,200 --> 00:23:55,240
Speaker 2: publics first or whatever, and he and he just he

444
00:23:55,320 --> 00:23:57,240
Speaker 2: put on a clinic with that one. Yes, it was

445
00:23:57,320 --> 00:24:00,200
Speaker 2: you know, I mean it was kind of trumpy. It's

446
00:24:00,240 --> 00:24:03,000
Speaker 2: kind of a trumpy moment. So that that's my thing.

447
00:24:03,240 --> 00:24:06,200
Speaker 2: If you are going to get past Trump, I don't

448
00:24:06,280 --> 00:24:08,600
Speaker 2: buy the fact that you're gonna get past Trump by

449
00:24:08,640 --> 00:24:12,240
Speaker 2: being better than him at policy, especially now that he's

450
00:24:12,640 --> 00:24:15,679
Speaker 2: devoted and out to fifty percent. Buck, what is the

451
00:24:15,800 --> 00:24:20,480
Speaker 2: number one thing that Trump people love about Trump? He

452
00:24:20,520 --> 00:24:24,320
Speaker 2: will fight for them, they believe, whether whether it's accurate

453
00:24:24,440 --> 00:24:27,040
Speaker 2: or not. I would say the number one thing that

454
00:24:27,080 --> 00:24:31,240
Speaker 2: Trump does is he fights for them, and I'll build

455
00:24:31,240 --> 00:24:33,879
Speaker 2: on that in a way here, Buck, He not only

456
00:24:33,880 --> 00:24:37,080
Speaker 2: fights for them, he often does it in a funny way.

457
00:24:37,880 --> 00:24:40,840
Speaker 2: And this is what the left never has really gotten

458
00:24:40,880 --> 00:24:41,720
Speaker 2: about Trump.

459
00:24:42,600 --> 00:24:43,040
Speaker 1: The fun.

460
00:24:43,920 --> 00:24:47,520
Speaker 3: There is a large element of fun associated with the

461
00:24:47,560 --> 00:24:50,840
Speaker 3: Trump campaign. Who seems who's running against.

462
00:24:50,560 --> 00:24:51,320
Speaker 1: Trump right now?

463
00:24:51,400 --> 00:24:56,080
Speaker 2: Buck, and seems like they're having fun the vec Maybe

464
00:24:56,080 --> 00:25:00,480
Speaker 2: that's it. Yeah, it's it's important because it those two

465
00:25:01,240 --> 00:25:04,720
Speaker 2: movement building. I mean, there's infrastructure building for the campaign.

466
00:25:05,080 --> 00:25:08,480
Speaker 2: There's understanding the blocking and tackling and how you have

467
00:25:08,560 --> 00:25:11,080
Speaker 2: to move forward in a national campaign. And then there's

468
00:25:11,119 --> 00:25:14,040
Speaker 2: the sense that people want to be a part of something,

469
00:25:14,760 --> 00:25:18,360
Speaker 2: that there's a broader narrative, that there's a reason why

470
00:25:18,760 --> 00:25:21,320
Speaker 2: you're not just voting for a person, but you're an

471
00:25:21,359 --> 00:25:26,679
Speaker 2: evangelist for that political slate of ideas in your day

472
00:25:26,720 --> 00:25:29,399
Speaker 2: to day life, and that you want to show up

473
00:25:29,400 --> 00:25:32,960
Speaker 2: at parties. I mean the whole make America Great Again MAGA.

474
00:25:34,080 --> 00:25:34,840
Speaker 1: World.

475
00:25:35,080 --> 00:25:37,320
Speaker 2: And I remember I was living in DC when Trump

476
00:25:37,359 --> 00:25:39,800
Speaker 2: was in his for about two years when Trump was

477
00:25:40,080 --> 00:25:43,679
Speaker 2: in his first term, and there was a real sense

478
00:25:43,720 --> 00:25:47,240
Speaker 2: of you know, brotherhood and sisterhood among all Trump supporters.

479
00:25:47,760 --> 00:25:50,080
Speaker 2: There was a whole language that people would use to

480
00:25:50,119 --> 00:25:51,639
Speaker 2: talk about these things. There was a sense that you

481
00:25:51,680 --> 00:25:54,680
Speaker 2: could throw parties where you talk policy but people are

482
00:25:54,680 --> 00:25:58,439
Speaker 2: having fun and I mean political events, right, that it

483
00:25:58,480 --> 00:26:02,679
Speaker 2: was both of these things. So that's very that's very

484
00:26:02,680 --> 00:26:07,600
Speaker 2: appealing and very powerful to people. The policy level stuff one,

485
00:26:07,640 --> 00:26:08,960
Speaker 2: I don't think I think you're right that it doesn't

486
00:26:08,960 --> 00:26:11,280
Speaker 2: move the needle as much as some people might assume.

487
00:26:11,280 --> 00:26:14,840
Speaker 2: And then also there's a lot of policy is easy

488
00:26:14,840 --> 00:26:17,720
Speaker 2: to disagree on who's the most fun people feel that.

489
00:26:17,720 --> 00:26:20,160
Speaker 1: One one hundred percent they do buck.

490
00:26:20,320 --> 00:26:23,400
Speaker 3: And this is why the analogy I made for Trump

491
00:26:23,480 --> 00:26:26,199
Speaker 3: back in twenty sixteen was he reminded me of a rapper,

492
00:26:26,760 --> 00:26:29,199
Speaker 3: and a lot of people didn't get that, and you

493
00:26:29,240 --> 00:26:30,760
Speaker 3: even just kind of reacted to it.

494
00:26:31,119 --> 00:26:34,800
Speaker 1: But the way that I mean that is people who.

495
00:26:34,640 --> 00:26:38,399
Speaker 3: Are big fans of rap, they don't take everything that

496
00:26:38,440 --> 00:26:42,080
Speaker 3: a rapper says literally. And then people who are trying

497
00:26:42,119 --> 00:26:45,960
Speaker 3: to cancel rappers, they inevitably pull out rap lyrics and

498
00:26:46,000 --> 00:26:48,840
Speaker 3: they're like, but look at what he said here, and

499
00:26:48,920 --> 00:26:52,040
Speaker 3: what they miss is the word play and the fun

500
00:26:52,320 --> 00:26:55,919
Speaker 3: and the humor that often underlies the rapper. Whether we

501
00:26:56,000 --> 00:26:58,359
Speaker 3: use Eminem, which is someone that people know really well,

502
00:26:58,840 --> 00:27:02,920
Speaker 3: if you take everything that Eminem says literally, he's telling

503
00:27:02,960 --> 00:27:06,560
Speaker 3: you that he's gonna murder five thousand people in every album.

504
00:27:07,080 --> 00:27:10,440
Speaker 3: But it is a that there is an expressiveness of

505
00:27:10,480 --> 00:27:14,840
Speaker 3: the language that is not representative in the literal word choice.

506
00:27:15,240 --> 00:27:18,600
Speaker 3: And what I think that people who hate Trump miss

507
00:27:19,440 --> 00:27:22,760
Speaker 3: is that he is a rapper in that he speaks

508
00:27:22,960 --> 00:27:27,040
Speaker 3: hyperbolically but entertainingly. And it's not a surprise to me

509
00:27:27,160 --> 00:27:30,720
Speaker 3: that rappers loved Trump before he got into politics. Buck,

510
00:27:30,760 --> 00:27:33,280
Speaker 3: I don't know that anybody had been name dropped more

511
00:27:33,359 --> 00:27:37,040
Speaker 3: than Trump. I was last year at the Live Golf

512
00:27:37,040 --> 00:27:40,680
Speaker 3: event in Bedminster. Nelly came out and for those of

513
00:27:40,720 --> 00:27:43,920
Speaker 3: you who remember Nelly, Nelly back in the day was tough.

514
00:27:44,080 --> 00:27:45,560
Speaker 1: Some of them want to take a ride with you.

515
00:27:45,920 --> 00:27:47,520
Speaker 1: That's right, Buck very well said.

516
00:27:47,880 --> 00:27:52,080
Speaker 3: Do you remember there's a shout out to Trump in

517
00:27:52,119 --> 00:27:56,000
Speaker 3: that Air Force one Nelly song, And so Trump is

518
00:27:56,040 --> 00:27:59,680
Speaker 3: there watching Nelly perform as he gives the shout out

519
00:27:59,720 --> 00:28:02,199
Speaker 3: to Donald Trump talking about how wealthy he wants to be.

520
00:28:02,800 --> 00:28:06,400
Speaker 1: And so my point on this is the people who.

521
00:28:06,240 --> 00:28:11,840
Speaker 3: Hate Trump, interestingly often overlap with the people who who

522
00:28:12,520 --> 00:28:15,359
Speaker 3: also sometimes hate rap. But what they're missing is the

523
00:28:15,440 --> 00:28:19,480
Speaker 3: literal sense of the word versus the hypothetical sense of

524
00:28:19,480 --> 00:28:23,800
Speaker 3: the word, the hyperbole, and the fun. Who's having fun

525
00:28:23,840 --> 00:28:26,320
Speaker 3: on the campaign trail right now. You're not gonna beat

526
00:28:26,400 --> 00:28:27,800
Speaker 3: Trump by being serious.

527
00:28:28,200 --> 00:28:28,680
Speaker 1: You're just not.

528
00:28:29,280 --> 00:28:31,760
Speaker 3: You're gonna have to have fun. I'm not sure anybody

529
00:28:31,760 --> 00:28:33,800
Speaker 3: can beat him. Go listen to the first hour, but

530
00:28:33,880 --> 00:28:36,600
Speaker 3: I damn sure know nobody's gonna beat them by trying

531
00:28:36,600 --> 00:28:39,920
Speaker 3: to talk about how they're going to reformat Article two

532
00:28:40,000 --> 00:28:43,440
Speaker 3: of the Constitution. That ain't working all right, Just think

533
00:28:43,480 --> 00:28:45,680
Speaker 3: about it. I gotta tell you, no one's immune to

534
00:28:45,720 --> 00:28:48,080
Speaker 3: the prospect of a natural disaster of one kind or another.

535
00:28:48,120 --> 00:28:51,520
Speaker 3: We try to prepare, but sometimes not possible. Having a

536
00:28:51,560 --> 00:28:55,080
Speaker 3: proper supply of emergency food on hand before disaster strikes

537
00:28:55,080 --> 00:28:57,760
Speaker 3: is smart. You breathe easier knowing you can feed your

538
00:28:57,760 --> 00:29:01,240
Speaker 3: family in crisis. Go to prepare with com right now

539
00:29:01,240 --> 00:29:03,480
Speaker 3: to get a one week emergency food supply. Look, here's

540
00:29:03,520 --> 00:29:07,360
Speaker 3: the deal. We have this in the Travis household, right downstairs.

541
00:29:07,440 --> 00:29:09,480
Speaker 3: After I finished the shows, do a couple of calls

542
00:29:09,560 --> 00:29:13,000
Speaker 3: the advertisers. I'm gonna go downstairs, gonna go get my launch.

543
00:29:13,120 --> 00:29:15,880
Speaker 3: We'm gonna look there boom, one for me, one for

544
00:29:15,920 --> 00:29:18,520
Speaker 3: the wife, one for each of our kids. We got

545
00:29:18,520 --> 00:29:22,760
Speaker 3: five of them. It comes well stacked and you can

546
00:29:22,800 --> 00:29:25,840
Speaker 3: get hooked up right now at my Patriot Supply. They

547
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Speaker 3: are the largest food prepared in this company, millions of happy,

548
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Speaker 3: worry free customers. They made it easier and more economical

549
00:29:32,840 --> 00:29:35,960
Speaker 3: than the one month supply or even the three month supply. Hey,

550
00:29:36,320 --> 00:29:40,160
Speaker 3: maybe you just need a week, no skimping. They'll last

551
00:29:40,200 --> 00:29:42,680
Speaker 3: for a very long time and you can get hooked

552
00:29:42,760 --> 00:29:46,720
Speaker 3: up right now. Thirty dollars savings available this week only. Again,

553
00:29:46,760 --> 00:29:49,800
Speaker 3: it's a one week emergency food supply instead of a month.

554
00:29:49,840 --> 00:29:52,920
Speaker 3: Takes up less space one week. Take care of you.

555
00:29:53,240 --> 00:29:56,560
Speaker 3: Get hooked up today with Prepare with clayanbuck dot com.

556
00:29:56,640 --> 00:29:59,400
Speaker 1: Do what I did. Go to prepare with Clay and

557
00:29:59,480 --> 00:30:01,560
Speaker 1: Buck dot Keep.

558
00:30:01,400 --> 00:30:04,320
Speaker 2: Out with the guys on the Sunday Hang with Clay

559
00:30:04,320 --> 00:30:07,440
Speaker 2: and Buck podcast, a new episode every Sunday.

560
00:30:07,560 --> 00:30:11,960
Speaker 3: Find it where you get your past show. Appreciate all

561
00:30:12,000 --> 00:30:13,520
Speaker 3: of you hanging out with us. You're going to take

562
00:30:13,520 --> 00:30:16,200
Speaker 3: some of your calls, uh, as many of you are

563
00:30:16,240 --> 00:30:19,200
Speaker 3: weighing in a lot of different opinions flowing.

564
00:30:19,840 --> 00:30:20,040
Speaker 7: Uh.

565
00:30:20,040 --> 00:30:22,280
Speaker 3: And what has been I would say a pretty uh

566
00:30:22,400 --> 00:30:26,080
Speaker 3: fun show so far? Duff in Uh, he's a truck

567
00:30:26,200 --> 00:30:29,120
Speaker 3: driver in Connecticut. Duff, what's your advice for all the

568
00:30:29,120 --> 00:30:30,240
Speaker 3: suburban women out there?

569
00:30:31,280 --> 00:30:33,719
Speaker 8: Hey, how's the gallant? Listen? I really think all these

570
00:30:33,760 --> 00:30:36,080
Speaker 8: suburban women need to get off their high horse and

571
00:30:36,080 --> 00:30:38,680
Speaker 8: get over themselves, because whether they realize it or not,

572
00:30:39,120 --> 00:30:42,160
Speaker 8: they're either married to or Dayton. Donald Trump. That's why

573
00:30:42,200 --> 00:30:45,200
Speaker 8: we voted for him. All of us guys want a

574
00:30:45,240 --> 00:30:46,720
Speaker 8: man leading us just like him.

575
00:30:46,880 --> 00:30:48,560
Speaker 2: Can I just throw something out there, Duff? You know,

576
00:30:48,560 --> 00:30:50,880
Speaker 2: I haven't married very long, but it has been my

577
00:30:51,000 --> 00:30:54,040
Speaker 2: experience that as you say, tell women to get over themselves,

578
00:30:54,480 --> 00:30:57,200
Speaker 2: it's like telling your wife to calm down or something,

579
00:30:57,480 --> 00:31:00,640
Speaker 2: or you know, it's no big deal marriage. It's not

580
00:31:00,680 --> 00:31:01,440
Speaker 2: as easy as that.

581
00:31:01,680 --> 00:31:03,920
Speaker 1: Yeah, I was bad.

582
00:31:03,920 --> 00:31:06,160
Speaker 8: For twelve years, was divorced.

583
00:31:06,520 --> 00:31:10,080
Speaker 3: I was gonna I just I think, thank you for

584
00:31:10,120 --> 00:31:10,720
Speaker 3: the call, Duff.

585
00:31:10,720 --> 00:31:13,040
Speaker 1: That was it. I just when Dove said we got

586
00:31:13,040 --> 00:31:13,480
Speaker 1: to tell.

587
00:31:13,360 --> 00:31:17,360
Speaker 3: All these ways, I knew immediately either Duff was divorced

588
00:31:17,400 --> 00:31:20,800
Speaker 3: presently or on like wife number three or four. You

589
00:31:20,800 --> 00:31:22,560
Speaker 3: ever hear a guy talking, you're like, yeah, this guy's

590
00:31:22,560 --> 00:31:24,160
Speaker 3: probably not still in the first marriage.

591
00:31:24,680 --> 00:31:26,280
Speaker 1: Honestly, you could hear Trump talk and.

592
00:31:26,200 --> 00:31:29,720
Speaker 3: Be like, yeah, probably not still still the first marriage.

593
00:31:30,200 --> 00:31:31,680
Speaker 3: I knew as soon as he said you got to

594
00:31:31,720 --> 00:31:34,120
Speaker 3: tell these women up that the guy has not been

595
00:31:34,120 --> 00:31:37,000
Speaker 3: married very long. I'm just gonna toss it out. I'm

596
00:31:37,040 --> 00:31:38,760
Speaker 3: gonna defer. You know, you've you've been in this game

597
00:31:38,800 --> 00:31:40,680
Speaker 3: a long time, and I'm a rookie. You know, I'm

598
00:31:40,720 --> 00:31:42,680
Speaker 3: still I'm still trying to trying to get off my

599
00:31:42,800 --> 00:31:44,680
Speaker 3: rookie jersey and make you know, make it onto the

600
00:31:44,840 --> 00:31:48,080
Speaker 3: Uh you're trying to get the second contract. Yeah, exactly,

601
00:31:48,200 --> 00:31:51,280
Speaker 3: trying to exactly. I'll be nineteen years in next month.

602
00:31:51,440 --> 00:31:54,760
Speaker 3: Dan in Oregon. By the way, Uh, Dan, are you married?

603
00:31:56,880 --> 00:31:57,160
Speaker 9: Hello?

604
00:31:57,480 --> 00:31:58,760
Speaker 1: Dan? Yeah, sir, what's up?

605
00:31:59,480 --> 00:32:01,960
Speaker 9: Yeah? Just Dan, And I'm glad to get it on

606
00:32:02,000 --> 00:32:02,360
Speaker 9: the show.

607
00:32:02,680 --> 00:32:03,760
Speaker 10: Thanks for taking my call.

608
00:32:05,400 --> 00:32:08,800
Speaker 9: Well, what I wanted to say is that Trump he's

609
00:32:08,840 --> 00:32:12,720
Speaker 9: a humorous guy, and there's there's something to be said

610
00:32:12,720 --> 00:32:15,600
Speaker 9: for that because we live in glum times, but also

611
00:32:15,640 --> 00:32:17,280
Speaker 9: living in the times that we live in, there's a

612
00:32:17,320 --> 00:32:20,520
Speaker 9: lot of serious issues that are out there, and some

613
00:32:20,640 --> 00:32:24,080
Speaker 9: have a lot to do with policy, and I just

614
00:32:24,280 --> 00:32:26,840
Speaker 9: I just think that, uh, he's going to have a

615
00:32:26,880 --> 00:32:30,200
Speaker 9: hard time winning. Some people say.

616
00:32:30,000 --> 00:32:32,800
Speaker 10: That, some people don't agree with it. But how is

617
00:32:32,840 --> 00:32:35,160
Speaker 10: he going to get back the suburban women that he

618
00:32:35,240 --> 00:32:38,760
Speaker 10: lost last time? Simply because he's too arrogant to learn

619
00:32:38,840 --> 00:32:40,840
Speaker 10: how to debate and he wants to come out of

620
00:32:40,880 --> 00:32:43,440
Speaker 10: the debate stage and he bullied him all in the

621
00:32:43,560 --> 00:32:47,080
Speaker 10: in the Republican primaries, he bullied an old man Joe Biden,

622
00:32:47,120 --> 00:32:48,560
Speaker 10: that he should have been able to beat on his

623
00:32:48,600 --> 00:32:52,040
Speaker 10: record and start with thousands of people, including including YouTube,

624
00:32:52,040 --> 00:32:55,280
Speaker 10: that could have wiped them, wiped the table with with

625
00:32:55,480 --> 00:32:59,600
Speaker 10: by just using his record. But instead he goes out

626
00:32:59,640 --> 00:33:01,960
Speaker 10: there and he bullies this old man and right there

627
00:33:02,360 --> 00:33:05,240
Speaker 10: he lost them. Plus we you know, somebody, we need

628
00:33:05,280 --> 00:33:09,760
Speaker 10: somebody intelligent to deal with the abortion issue and from

629
00:33:09,920 --> 00:33:12,560
Speaker 10: from a perspective to try to make the left at

630
00:33:12,640 --> 00:33:16,400
Speaker 10: least understand why the Republican is prologue.

631
00:33:16,560 --> 00:33:17,800
Speaker 1: Okay, thank you for the call.

632
00:33:17,920 --> 00:33:21,760
Speaker 3: Let me say this. I actually think Trump on abortion

633
00:33:23,040 --> 00:33:26,760
Speaker 3: is maybe the best of the Republican candidates so far.

634
00:33:26,800 --> 00:33:28,080
Speaker 1: And some of you are going to say, what in

635
00:33:28,080 --> 00:33:28,840
Speaker 1: the world you mean?

636
00:33:28,920 --> 00:33:32,280
Speaker 2: You mean the most effective politically, not the most pro life.

637
00:33:32,400 --> 00:33:36,760
Speaker 3: Correct, because he has two things. Buck One, he got

638
00:33:36,880 --> 00:33:40,080
Speaker 3: Roe v. Wade overturned. So that's like the gold star.

639
00:33:40,280 --> 00:33:42,960
Speaker 3: All right, Trump has got the gold star. Everybody else

640
00:33:42,960 --> 00:33:45,280
Speaker 3: said what they would do. He put the three judges

641
00:33:45,320 --> 00:33:47,080
Speaker 3: on the Supreme Court that overturned Roe v.

642
00:33:47,160 --> 00:33:47,320
Speaker 5: Way.

643
00:33:47,800 --> 00:33:52,600
Speaker 3: But simultaneously Trump is saying, I don't want to have

644
00:33:53,400 --> 00:33:56,120
Speaker 3: and everybody can have different opinions, but a three, four,

645
00:33:56,320 --> 00:34:01,640
Speaker 3: five six week abortion you know, like DeSantis, I think

646
00:34:01,680 --> 00:34:05,080
Speaker 3: it strengthens him maybe in the Republican primary a bit

647
00:34:05,480 --> 00:34:08,080
Speaker 3: to have signed a six week abortion band in Florida.

648
00:34:08,320 --> 00:34:13,640
Speaker 3: I don't think that plays very well in Arizona, in Pennsylvania,

649
00:34:14,040 --> 00:34:18,160
Speaker 3: in Michigan, in Wisconsin. I understand again, people have really

650
00:34:18,160 --> 00:34:22,680
Speaker 3: strong opinions here. I'm talking entirely politically. Trump can say

651
00:34:22,760 --> 00:34:25,279
Speaker 3: I got Roe v. Wade overturn, but we need and

652
00:34:25,320 --> 00:34:27,680
Speaker 3: he said that in his Caitlin Collins interview with CNN,

653
00:34:27,719 --> 00:34:31,799
Speaker 3: he said we need a rational abortion policy. And so

654
00:34:31,880 --> 00:34:33,719
Speaker 3: far he can say, look, I got it overturned, I

655
00:34:33,719 --> 00:34:35,920
Speaker 3: got it sent back to the states. Every state can

656
00:34:35,960 --> 00:34:39,359
Speaker 3: decide we don't need a federal abortion policy. I think

657
00:34:39,440 --> 00:34:43,840
Speaker 3: that is an abortion policy that could could actually appeal

658
00:34:43,880 --> 00:34:44,680
Speaker 3: to suburban women.

659
00:34:46,239 --> 00:34:51,440
Speaker 2: Possibly. Yeah, let's see what we get here from hold

660
00:34:51,480 --> 00:34:55,600
Speaker 2: On Jacqueline in Brooklyn, New York. Jacqueline, You've got some

661
00:34:55,680 --> 00:34:58,279
Speaker 2: thoughts here in NYC. What's going on?

662
00:34:58,840 --> 00:35:01,399
Speaker 7: Yes, gentlemen, I just want to correct one of your

663
00:35:01,440 --> 00:35:04,759
Speaker 7: previous callers from a while back. He was saying he

664
00:35:04,800 --> 00:35:08,400
Speaker 7: was bashing President Trump about his handling of the COVID situation,

665
00:35:08,880 --> 00:35:11,640
Speaker 7: and I want to just remind that gentleman that President

666
00:35:11,640 --> 00:35:15,600
Speaker 7: Trump assigned Mike Pence to handle the COVID situation. So

667
00:35:15,640 --> 00:35:18,399
Speaker 7: if there's any finger pointing to be made and any

668
00:35:18,480 --> 00:35:21,880
Speaker 7: blame to be had, that lies with Mike Pence.

669
00:35:22,040 --> 00:35:25,240
Speaker 3: And I think I appreciate the call. When you're the president,

670
00:35:25,400 --> 00:35:27,280
Speaker 3: ultimately you get all the blame and all the credits.

671
00:35:27,320 --> 00:35:30,120
Speaker 3: The bus stops with Trump, you could say, And you

672
00:35:30,160 --> 00:35:31,960
Speaker 3: guys who listen to this show know that I am

673
00:35:31,960 --> 00:35:35,480
Speaker 3: no great fan of Mike Pence. I do think blaming

674
00:35:35,600 --> 00:35:39,719
Speaker 3: Mike Pence for the federal government's response under Trump, I mean.

675
00:35:39,640 --> 00:35:42,680
Speaker 2: I think we would say Jacqueline is correct on the facts,

676
00:35:42,719 --> 00:35:45,879
Speaker 2: but on the analysis of who blame lies with their

677
00:35:46,960 --> 00:35:51,000
Speaker 2: But look, I'll say this, a lot of people they

678
00:35:51,320 --> 00:35:55,440
Speaker 2: feel like they give Trump a pass on what happened

679
00:35:55,440 --> 00:35:57,799
Speaker 2: in twenty twenty because it was so you know, they

680
00:35:57,800 --> 00:35:59,480
Speaker 2: give him a pass on a lot of things with

681
00:35:59,640 --> 00:36:02,759
Speaker 2: regard to the COVID situation, because it was the once

682
00:36:02,760 --> 00:36:05,400
Speaker 2: in a century, the six trillion dollars of spending that

683
00:36:05,440 --> 00:36:07,960
Speaker 2: happened under Trump. It's one of the reasons why inflation

684
00:36:08,120 --> 00:36:10,520
Speaker 2: wasn't such a big liability for Biden when he came

685
00:36:10,560 --> 00:36:13,160
Speaker 2: into office, even though it started really badly when Biden

686
00:36:13,200 --> 00:36:13,920
Speaker 2: took office, so.

687
00:36:14,880 --> 00:36:18,160
Speaker 1: You know it is what it is. Buck.

688
00:36:18,239 --> 00:36:21,920
Speaker 3: I started off the show saying that I think Trump

689
00:36:22,120 --> 00:36:25,960
Speaker 3: has opened a commanding league. Doesn't mean he can get caught,

690
00:36:28,239 --> 00:36:30,280
Speaker 3: but I'm finding it increasingly difficult.

691
00:36:30,320 --> 00:36:33,240
Speaker 1: The more the lead you get, you can.

692
00:36:33,160 --> 00:36:36,440
Speaker 3: Play poorly early on right, but at some point, if

693
00:36:36,480 --> 00:36:38,960
Speaker 3: you watch the horse racing, analogy gets used all the

694
00:36:39,000 --> 00:36:42,560
Speaker 3: time in the world of politics. Right, Trump has opened

695
00:36:42,640 --> 00:36:45,799
Speaker 3: up a big gap between him and everybody else on

696
00:36:45,880 --> 00:36:50,640
Speaker 3: the race track. At some point that gap needs to

697
00:36:50,760 --> 00:36:54,280
Speaker 3: be narrowed, and I think it has to happen really,

698
00:36:54,360 --> 00:36:54,959
Speaker 3: really soon.

699
00:36:55,360 --> 00:37:00,600
Speaker 1: It's getting late early. I like to caution and call

700
00:37:00,640 --> 00:37:05,280
Speaker 1: for patients and Buck Sexton on the front lines of truth.

701
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723
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724
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Speaker 1: Double meta share works.

729
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741
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Speaker 11: The podcast The Girlfriends tells the story of Caroly and Mindy,

742
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743
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