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Speaker 1: Welcome in everybody. Monday edition of Clay and Bock kicks off.

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Speaker 2: Now, so much going on and last full week before

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Speaker 2: election day, almost seven days out from the big day,

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Speaker 2: so I cannot believe how fast it is all moving.

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Speaker 1: But here we are. We will have the latest for you,

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Speaker 1: the final duels of these campaigns going on, the last

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Speaker 1: ads making their way through the TVs and on the

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Speaker 1: radio airwaves and podcasts and everything else. We will dive

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Speaker 1: into that, take a look at where the polls stand.

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Speaker 1: How is it looking at this moment in time. But

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Speaker 1: some big things broke actually over the weekend, or some

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Speaker 1: noteworthy events happened over the weekend. First off, Donald Trump

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Speaker 1: sat down with Donald Trump sat down with Joe Rogan.

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Speaker 1: I listened to a bunch of it. He's very long,

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Speaker 1: so I did not have the time to listen to

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Speaker 1: all of it. Listen to a bunch of it. I

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Speaker 1: would just say Trump was Trump, and he was very

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Speaker 1: engaging and interesting and cordial and normal. So it's a

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Speaker 1: good look for him. Clay, with that audience, we can

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Speaker 1: dive into some of what he said there and any

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Speaker 1: of the major takeaways beyond that. Jd Vance I think

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Speaker 1: put on a particularly strong showing on some of the

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Speaker 1: Sunday shows, taking it right to some of the more

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Speaker 1: adepth Democrat propagandists who were out there, so we'll discuss

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Speaker 1: how that went down. We also have the final pitch

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Speaker 1: of the Kamala Harris campaign at this point, which seems

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Speaker 1: to be be terrified and the other people are Nazis

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Speaker 1: and they're horrible, which is not inspiring. I will say

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Speaker 1: I do not feel inspired by their message of vote

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Speaker 1: for Kamala even though she is deeply unimpressive and in

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Speaker 1: fact seems deeply incompetent, but vote for her because if

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Speaker 1: you don't, you're a Nazi. That is what That is

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Speaker 1: the final final push as I see it, and Clay

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Speaker 1: that came up a lot if with the media coverage

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Speaker 1: of Trump's Madison Square Garden rally. Uh, the the MSG

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Speaker 1: rally was. Did you get to watch some of it?

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Speaker 1: By the way, I watched Uh? I watched almost Yeah,

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Speaker 1: I watched the whole Trump's speech. I watched Trump's speech.

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Speaker 1: I saw some of Elon's speech, Tucker, you know, he

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Speaker 1: had the the the Trump All Stars, if you will,

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Speaker 1: gathered to do do their thing from it at Madison

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Speaker 1: Square garden, uh, electrifying in the room, all the stuff

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Speaker 1: that you would imagine. I am sure I wasn't there,

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Speaker 1: but everyone describing it said that it was quite a scene.

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Speaker 1: And Clay, really the media has gone all in on

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Speaker 1: comparing this rally to Hitler's Nazi rally, or to to

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Speaker 1: Hitler and to Nazism, and it's pretty appalling that this

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Speaker 1: is what they've got for us. But I guess everything

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Speaker 1: else that kind of run out of attacks. They've thrown

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Speaker 1: everything him, there's nothing left, so now they're just recycling

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Speaker 1: the original one.

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Speaker 3: I just don't see how this is going to remotely

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Speaker 3: work well for them. And I put up a poll

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Speaker 3: maybe we can share it. From Clay and Buck, I'm

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Speaker 3: more interested in the granular. Have you voted or have

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Speaker 3: you not voted yet? You and I both voted early.

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Speaker 3: Republicans are voting early in massive numbers. What do you

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Speaker 3: think this audience is fifty to fifty maybe having voted

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Speaker 3: early versus not voting early. What would you assess the

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Speaker 3: people listening to us right now? I think it's almost

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Speaker 3: one hundred percent voters fifty to fifty?

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Speaker 1: Is that fair? Or maybe i'd have to I don't

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Speaker 1: know that's a very good question.

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Speaker 3: I would love to know the data on this audience.

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Speaker 3: How many of you voted early We're going to share.

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Speaker 3: I put up a poll and early on the voting

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Speaker 3: was about fifty to fifty on whether or not you.

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Speaker 3: You guys have voted so far. But if you have

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Speaker 3: already voted, you're like you and me, Buck, where you're

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Speaker 3: kind of sitting back. Your vote's already cast and you're

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Speaker 3: waiting to see what the final results are. If you

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Speaker 3: you haven't voted, I don't understand how calling Trump hitler

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Speaker 3: and or being outrageously falsely. I think offended by a

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Speaker 3: joke that a comedian made is a closing argument that

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Speaker 3: is in any way going to benefit Kamala Harris. And

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Speaker 3: there was one thing that happened over the weekend, Buck,

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Speaker 3: that I think is probably slid under the radar for

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Speaker 3: a lot of people, but to me, it was emblematic

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Speaker 3: of kind of a panic that they're in the middle of.

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Speaker 3: I don't even know if you saw this. Tim Walls

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Speaker 3: on Sunday, they decided to have him play AOC in

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Speaker 3: Madden And what did.

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Speaker 1: You see this?

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Speaker 4: Like?

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Speaker 3: I saw clips of it. Yes, yes, I couldn't believe

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Speaker 3: that this was real. They are desperately trying to get

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Speaker 3: more of male voters, young male voters in particular, and

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Speaker 3: their outreach on Sunday was to have Tim Walls sitting

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Speaker 3: in a corner awkwardly having conversations with AOC about out

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Speaker 3: at football while playing Madden about like Project twenty twenty five,

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Speaker 3: and Walls looked buck so utterly defeated that I can't

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Speaker 3: even imagine this is while they're chanting tampon Tim at

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Speaker 3: Madison Square Garden. Tim Walls, who's supposed to be this

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Speaker 3: avatar of masculinity, the sort of sort of the front

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Speaker 3: lines of outreach to mail voters, is sitting there in

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Speaker 3: his stupid camo hat with a Harris Walls three quarter

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Speaker 3: zip jacket on and a bunch of weird looking placards

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Speaker 3: on the wall behind him, looking utterly defeated while playing

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Speaker 3: AOC in Madden in a way to try to reach voters.

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Speaker 3: And the contrast between that and the vibrancy of the

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Speaker 3: Trump Madison Square Garden rally where Hulk Hogan is coming

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Speaker 3: out where I'm sure you saw the photo where Trump

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Speaker 3: is like wrestling arm wrestling with Hulk Hogan, where you

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Speaker 3: just have so much fun and joy and vibrancy that

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Speaker 3: it's hard for me to imagine that there's anything left

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Speaker 3: for the Kamala campaign.

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Speaker 1: Just to give you a sense of how it went

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Speaker 1: with Trump, in case you didn't see it, this is

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Speaker 1: cut fifteen. And you know this morning the Democrats are

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Speaker 1: all saying and writing that it was nasty, racist, nazi, mean,

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Speaker 1: all this sort of stuff. If you actually watched the rally,

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Speaker 1: it seemed like everyone's having a great time and talking

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Speaker 1: about the greatness of America and taking care of all Americans.

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Speaker 1: This is what he said, play fifteen.

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Speaker 5: After all we have been through together, we stand on

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Speaker 5: the verge of the four greatest years in the history

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Speaker 5: of the USA. With your help, from now until election Day,

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Speaker 5: we will restore America's promise. We will put America first,

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Speaker 5: and we will take back the nation that we all love.

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Speaker 1: We believe the same blood, we share the same.

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Speaker 6: Home, and we salute the same great American flag. We

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Speaker 6: are one people, one family, and one glorious nation under God.

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Speaker 1: We will never give in. We will never give up.

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Speaker 5: We will never ever back down, and we will never

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Speaker 5: ever ever ever surrender.

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Speaker 1: Claike, I just say, if you took those two or

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Speaker 1: rather if you took that closing there and you said

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Speaker 1: to even democrats, but you just walk around and you

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Speaker 1: took those words you said, was this Donald Trump or

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Speaker 1: Ronald Reagan? I think you can tell the difference. Was

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Speaker 1: this Donald Trump or any number of GOP presidents. This

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Speaker 1: idea that they forward that somehow Trump is this menace,

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Speaker 1: this darkness, this evil is completely belied by the way

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Speaker 1: that he not only the way that he speaks when

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Speaker 1: you listen to it, but also by the way that

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Speaker 1: he governed for four years.

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Speaker 4: You know.

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Speaker 1: Elon Musk was on this point on X as well.

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Speaker 1: They're really trying to tell everybody, well, he wasn't hitler

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Speaker 1: the first time, but he's going to be hitler this time.

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Speaker 1: And I just think you have to be kind of

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Speaker 1: an emotionally damaged moron to believe that. I really do.

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Speaker 1: It makes no sense.

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Speaker 3: My parents over the weekend were telling me that they

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Speaker 3: were talking recently with a ninety eight year old World

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Speaker 3: War Two vet who lives in the neighborhood and that

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Speaker 3: he had gone and voted for Trump. And I saw

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Speaker 3: jd Vance share this question, and I think it's a

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Speaker 3: really good one. There are relatively few World War Two

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Speaker 3: veterans still alive. But of the people that fought in

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Speaker 3: World War Two, don't you think eighty that I mean

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Speaker 3: fought actual Nazis? Don't you think seventy five, eighty, maybe

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Speaker 3: ninety percent of them are voting for Trump? And doesn't

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Speaker 3: it seem so somewhat significant that the people who fought

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Speaker 3: actual Nazis are choosing to vote for Donald Trump in

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Speaker 3: the election over Kamala Harris. And for those out there

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Speaker 3: that have family, and I know we have a lot

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Speaker 3: of Jewish listeners, and I know New York City and

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Speaker 3: New York State Jewish vote can be different than let's say,

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Speaker 3: La where we also have a lot of listeners. If

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Speaker 3: you have family that went through the Holocaust, as virtually

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Speaker 3: every Jewish person listening to us right now may have

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Speaker 3: lost lives, certainly the trauma of living through the Holocaust

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Speaker 3: echoes through generations of your family. How demeaning is it

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Speaker 3: to try to argue that Trump is in any way

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Speaker 3: connected to the Nazi party that tried to destroy your

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Speaker 3: entire ethnic group. They committed genocide. I mean to make

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Speaker 3: an argument buck that somehow Trump's joyful Madison Square Garden

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Speaker 3: rally is a vodka of Nazism is so disconnected from

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Speaker 3: reality that it actually would be an insult to me

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Speaker 3: if I were Jewish.

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Speaker 1: Well, I think it is, and I think that people

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Speaker 1: who see this honestly, you know, to members of the

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Speaker 1: Jewish community. I mean there were there were Israeli flags

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Speaker 1: at the Trump Arazi rally as everyone was poorting. I mean,

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Speaker 1: this is the situation. And also they really want everyone

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Speaker 1: to forget that for four years, Trump governed in a

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Speaker 1: way that was you know, they'll always pick some word

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Speaker 1: or some joke or something. What did he actually do

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Speaker 1: as president? He did things that made the country stronger,

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Speaker 1: more prosperous, more secure for everyone. He didn't do some

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Speaker 1: you know, weaponization of law campaign against his enemies. Democrats

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Speaker 1: do that. They did it against him with Russia collusion.

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Speaker 1: We've already run this experiment, Trump v. Biden. Who was

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Speaker 1: better in the role. It's not even close. Donald Trump

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Speaker 1: is better than Joe Biden. Biden was who they wanted

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Speaker 1: to have instead of Kamala Harris. Because deep down in

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Speaker 1: their hearts are in their brain somewhere, Democrats know Biden

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Speaker 1: is even more capable than Harris with dementia what does

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Speaker 1: that tell you about Kamala Harris. So they are running

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Speaker 1: the person that they were desperate to avoid, running so

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Speaker 1: much so that they tried to sneak a dementia patient

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Speaker 1: past the electorate again. And even when that dementia patient

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Speaker 1: was in better mental shape, Donald Trump was a far

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Speaker 1: better president. So you said, you go, what are we

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Speaker 1: even really talking about? You know, it's so straightforward, and

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Speaker 1: this is why there's this ferocity, this viciousness, this oh,

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Speaker 1: it's all about Nazis. And they are demeaning the Holocaust.

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Speaker 1: They're demeaning the murder of six million Jews, the murder

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Speaker 1: and the death camps of eleven million people, a couple

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Speaker 1: million Polish Catholics, eleven million people total, six million of

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Speaker 1: them Jews. Who did Trump murder Trump? They're trying to

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Speaker 1: murder Trump. They've tried to as 'sascination attempts. He has

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Speaker 1: done violence against no Americans. And they sit here and

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Speaker 1: they say, what, there was a ride on January sixth,

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Speaker 1: and that's supposed to be the thing that you care

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Speaker 1: about more than anything else. They didn't kill anybody on

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Speaker 1: January sixth, Someone one of the rioters was killed.

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Speaker 3: Buck, What did you think maybe we can talk about

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Speaker 3: this a little bit when we come back as a

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Speaker 3: New Yorker to see Madison Square Garden filled up like that,

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Speaker 3: Because when I watched Trump speak, I thought, I mean,

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Speaker 3: he's obviously forty years older than you. But I do

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Speaker 3: think it mattered a lot to Trump to come back

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Speaker 3: to New York City. This was sort of the valid

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Speaker 3: dictory of his campaign, and the numbers are out there. Look,

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Speaker 3: I think Kamala is going to win the state of

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Speaker 3: New York. I want everybody in New York to go vote.

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Speaker 3: I want it to be as close as possible. But

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Speaker 3: the data is that Trump is going to do better

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Speaker 3: than any Republican in New York City since nineteen eighty eight.

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Speaker 1: So you have to go all the.

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Speaker 3: Way back to George hw Bush against Ducacus to find

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Speaker 3: a Republican who potentially is going to do as well

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Speaker 3: as Trump is in this route.

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Speaker 1: And this I also when you want to break down

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Speaker 1: their their Trump Nazism charge, which is a smear. And

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Speaker 1: there's a part of me that's frustrated that we even

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Speaker 1: talk about this. This is though this is mainstream Democrat

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Speaker 1: thought and opposition. I watched Morning Joe this morning all

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Speaker 1: about how it's Nazism, it's fascism. Who is Trump? Who's

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Speaker 1: Trump a Nazi against the state of Israel? Thinks that

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Speaker 1: Trump might be the most pro Israeli American president that

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Speaker 1: we've had in our lifetime. So I don't think that,

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Speaker 1: you know, the the great.

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Speaker 3: Friend were able to vote, Trump would win like seventy

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Speaker 3: five or eighty percent of the vote in the country

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Speaker 3: of Israel.

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Speaker 1: So so we're pretty clear. And also his son in law,

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Speaker 1: his grandchildren Jewish, goes to Jewish holy sites, friends with me.

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Speaker 1: He grew up in New York City. Everybody grows up

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Speaker 1: in New York City. Like a huge portion of your

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Speaker 1: friends are Jewish, A huge portion of people he did

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Speaker 1: business with, the same thing with me. You grow my

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Speaker 1: first girl from Jewish. Like, this is just the notion

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Speaker 1: that he's so So he's not an anti semit Okay,

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Speaker 1: that's insane. So then who's he a Nazi against the

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Speaker 1: black community? He bragged about all the great things he

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Speaker 1: was doing for the black community, employment wages, the first

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Speaker 1: step back, which, by the way, I actually disagree with

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Speaker 1: where that ended up going, but put that aside. He

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Speaker 1: was constantly trying to reach out to and assist and

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Speaker 1: took particular pride in trying to be a president that

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Speaker 1: would that would be doing things, getting thing.

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Speaker 3: He's going to grow all minority support, which is not

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Speaker 3: necessarily the foundation of the Nazi Party. I don't remember

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Speaker 3: Hitler having a lot of outreach too non stupid.

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Speaker 7: You know.

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Speaker 1: Hitler was never saying, you know, oh, look at all

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Speaker 1: the great things I've done for Jewish or Black or

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Speaker 1: or anyone's you know, wages that was in the targeted communities.

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Speaker 1: You sit here, it's just they are in emotional meltdown, everybody.

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Speaker 1: And I think for good reason, because I think this

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Speaker 1: is not going where they want to be.

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Speaker 3: But no, no, but it's never really good reason. Nobody

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Speaker 3: should freak out this. I don't want to just win

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Speaker 3: the electoral college. I want to win the popular vote.

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Speaker 3: We're going to dive into some of those numbers. By

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Speaker 3: the way, Don Junior, who was at the rally, is

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Speaker 3: going to join us at the bottom of this hour,

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Speaker 3: so we'll ask him what he thought about it. Maybe

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Speaker 3: you're tired though, maybe you're coming out of the weekend.

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Speaker 3: You're looking ahead, and you got man, I got the

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Speaker 3: grandkids on Halloween. I've got the thirty first man, it's

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Speaker 3: going to be a late night because Halloween is here.

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Speaker 3: Maybe you're like me and you had a somewhat late

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Speaker 3: just dragging around a little bit. Maybe you're working hard

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Speaker 3: to try to elect President Trump, volunteering with a lot

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Speaker 3: of your time. Maybe you just don't want to look

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Speaker 1: You ain't imagining it. The world has gone insane.

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Speaker 1: Welcome back into Clay and Buck. Our buddy Don Junior

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Speaker 1: is with us now. He was at the incredible, the electric,

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Speaker 1: the historic, and very happy and fun. I might add

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Speaker 1: America great making rally at Madison Squared Garden. Don. Great

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Speaker 1: to have you back on the show, Clayon. I couldn't

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Speaker 1: make it, But how was it? Tell everybody listening. We

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Speaker 1: probably have some New York wor listeners who were there,

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Speaker 1: but for everyone around the rest of the country, tell

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Speaker 1: us about this rally, what it meant to you and

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Speaker 1: what it felt like to actually be right there in

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Speaker 1: the mix.

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Speaker 4: It was incredible, guys, It was truly amazing. I drove

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Speaker 4: with my father down to the rally from Trump Tower

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Speaker 4: to MSG you know whatever. It is twenty five blocks

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Speaker 4: of New York City just lined with MAGA hats. You

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Speaker 4: sell out Madison Square Garden and I think they head

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Speaker 4: over seventy five thousand people overflow crowd hanging out outside

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Speaker 4: so just amazing. It just shows you the sign of

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Speaker 4: the times. I don't think I've been doing this for

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Speaker 4: a while now, and my third time around, I could

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Speaker 4: have never even imagined this in sixteen or in twenty.

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Speaker 4: It's just a very different world out there. People get it,

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Speaker 4: they understand what's happening, and they're sick of it.

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Speaker 3: So what what is this significance here as we come

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Speaker 3: down the home stretch. I know you spoke your dad.

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Speaker 3: I thought it was fantastic. I watched it elon. I mean,

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Speaker 3: there were a lot of great, great speakers, but I

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Speaker 3: believe they are going to be rallies. Unless I'm wrong,

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Speaker 3: you can correct me. New Mexico, Minnesota, Virginia, and New

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Speaker 3: Hampshire down the stretch. Those are states that aren't even

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Speaker 3: considered battlegrounds. How good do you expect to do on

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Speaker 3: early voting and election Day? And what did those places

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Speaker 3: tell us about what your dad seeing on the map?

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Speaker 4: I mean, the early voting numbers have been incredible, but

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Speaker 4: what's best about them is that it's not even our

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Speaker 4: high propensity voters. Those guys still haven't voted yet. You know,

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Speaker 4: they are the people that aren't going to vote on

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Speaker 4: election day or in the days prior. It's the guys

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Speaker 4: that are the lowest propensity voters or the mid propensity

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Speaker 4: voters that have been out there you know, basically you know,

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Speaker 4: putting their ballots in there. So it's not like we

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Speaker 4: just finished early. The numbers are all indicative of like

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Speaker 4: we're still going to have a really strong election day.

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Speaker 4: So when you're looking at these places where we're you know,

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Speaker 4: going into election, they or when early voting is starting

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Speaker 4: to end in some of these states and Republicans have

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Speaker 4: a lead in the early vote, but it's not even

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Speaker 4: our reliable voters that just feels really good. I mean,

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Speaker 4: people just have to get out there. They have to

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Speaker 4: bring their friends, you know. As I said last night,

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Speaker 4: basically you got to get out there and vote like

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Speaker 4: you're the third monkey in line for the arc and

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Speaker 4: it's starting to rain. Once you do that, you know,

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Speaker 4: bring all of your friends. It's so critical for the future, frankly,

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Speaker 4: of Western civilization, not even our country, just Western civilization,

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Speaker 4: the entire world. You know, that we win this. The

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Speaker 4: other side has made it very clear what they stand for,

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Speaker 4: what they believe, and it's none of the things that

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Speaker 4: America has stood for. Historically.

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Speaker 1: You know, Don you're a New York City guy born

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Speaker 1: and raised, so's your dad, and to go back to hometown.

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Speaker 1: I mean, there's something I don't know, if it's synchronicity

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Speaker 1: or just the full circle nature of coming back here

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Speaker 1: right before the election that I thought was particularly powerful.

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Speaker 1: But I have to say this stuff about oh, Donald

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Speaker 1: Trump is in Madison Square Garden. I mean, you know,

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Speaker 1: wasn't probably I don't know, Beyonce or Taylor Swift there

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Speaker 1: a few months ago, or you know. I mean, it's

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Speaker 1: like people are in Madison Square Garden all the time.

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Speaker 1: I don't understand. But this narrative, which is overwhelming that

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Speaker 1: it's a Nazi rally and that your dad, the former president,

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Speaker 1: who did a phenomenal job for four years and would

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Speaker 1: do a phenomenal job maybe even more so for the

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Speaker 1: next four years, is in any way connected to fascism

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Speaker 1: or Nazism. Like what do you just honestly, are they

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Speaker 1: just mentally ill? Are they lying? Like how do you

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Speaker 1: process that?

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Speaker 5: Well?

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Speaker 4: I mean, I think they're both mentally ill and lying

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Speaker 4: and they have nothing else. You know, that's the reality.

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Speaker 4: You saw what they tried doing with the Atlantic this

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Speaker 4: week and they're just creating lies because they have nothing

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Speaker 4: to campaign on it. It's not like they have successes.

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Speaker 4: They have no success economically, they have no success geopolitically.

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Speaker 4: They sail time and time again. If Kamala Harris was

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Speaker 4: going to change something, you know, you would have thought

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Speaker 4: you would have maybe started in the last four years

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Speaker 4: where she's been the vice president to the most absentee

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Speaker 4: president in the history of our country. They have nothing else,

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Speaker 4: so they're going to try to latch onto these insane things.

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Speaker 4: I mean, I'm seeing you know, you know, Israel flags

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Speaker 4: all over the arena. I'm seeing people of all walks

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Speaker 4: of life, people of all races. I mean, if last

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Speaker 4: night was a Nazi rally, it was literally the worst

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Speaker 4: Nazi rally of the history of Nazi rallies. It's so ridiculous,

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Speaker 4: you know, and frankly it's insulting. You know, they try

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Speaker 4: watching it on TV today. They're trying to compare it.

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Speaker 4: You know, you know who else wants drank a glass

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Speaker 4: of water like Trump drank last night, like Hitlers? I mean, look,

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Speaker 4: it's the same. I mean, you know, Hitler also breathed air.

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Speaker 4: They must be the same. It's a desperate attempt to

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Speaker 4: do anything. I'm watching the full weight and force of

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Speaker 4: the mainstream media go all in on this narrative again

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Speaker 4: because they have nothing else. It's not like they can

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Speaker 4: talk about how great Kamala Harris is every time they

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Speaker 4: put her out there. It's a major fail. It's a disaster.

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Speaker 4: I mean, our campaign would pay a lot of money.

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Speaker 4: Just keep putting her on the air, give her a mic,

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Speaker 4: let her speak. The American people hear it every time,

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Speaker 4: and they realize that this is not only an incompetent person,

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Speaker 4: this is not someone who you want picking up. That's

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Speaker 4: the phone at three o'clock in the morning, when something

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Speaker 4: serious is happening around the world.

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Speaker 3: We're talking to Donald Trump Junior. I know you're a

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Speaker 3: big sports fan like I am. I think you have

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Speaker 3: seen both of those. I know you saw at least one.

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Speaker 3: Texas Tech has a kicker, makes a kick and immediately

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Speaker 3: lifts his shirt to show that MAGA is written underneath

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Speaker 3: his uniform on the T shirt that he's wearing last night.

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Speaker 3: Huge game for the audience anyway. Dallas Cowboys against San

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Speaker 3: Francisco forty nine Ers Nick Bosa in the postgame interview,

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Speaker 3: star defensive lineman for the forty nine ers playing for

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Speaker 3: a San Francisco team, has his MAGA hat on.

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Speaker 1: It feels to me like.

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Speaker 3: Lots of athletes in particular, but I think it's just

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Speaker 3: directly connected to men are just over it and they're

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Speaker 3: not going to be silenced anymore. Do you feel that

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Speaker 3: because I can tell you you know this privately, A

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Speaker 3: lot of people in sports have come up to me

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Speaker 3: for a long time and said, hey, you're one hundred

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Speaker 3: percent right.

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Speaker 1: Trump's the guy.

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Speaker 3: You experience that too, But it feels like a lot

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Speaker 3: of dudes out there are just like, I'm over pretending

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Speaker 3: that I'm not for Trump, and it's becoming more explicit

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Speaker 3: in their endorsement.

435
00:23:19,240 --> 00:23:21,080
Speaker 1: Are you feeling that seeing it too?

436
00:23:22,080 --> 00:23:24,359
Speaker 4: One hundred percent? I mean, you know, it's not even like,

437
00:23:24,760 --> 00:23:26,960
Speaker 4: you know, there's not even the social consequence anymore. Like

438
00:23:27,000 --> 00:23:29,439
Speaker 4: guys are happy to be open about it. They're they're okay,

439
00:23:29,480 --> 00:23:31,760
Speaker 4: there's and it's not just happening in sports. I'm seeing it,

440
00:23:32,119 --> 00:23:35,320
Speaker 4: you know, on college campuses. I'm seeing it all over

441
00:23:35,359 --> 00:23:38,000
Speaker 4: the place. You know, demographics that it would have never otherwise,

442
00:23:38,280 --> 00:23:40,600
Speaker 4: you know, it would have never been a socially acceptable

443
00:23:41,119 --> 00:23:43,280
Speaker 4: to support Trump. Even if you were a Trump supporter.

444
00:23:43,680 --> 00:23:45,760
Speaker 4: They're just doing it out in the open right now.

445
00:23:46,560 --> 00:23:50,240
Speaker 4: You know, supporting Trump, you know, it's counterculture, it's and

446
00:23:50,280 --> 00:23:52,439
Speaker 4: now it's cool. You're you're you're a bad as if

447
00:23:52,480 --> 00:23:55,600
Speaker 4: you're actually doing these things. You know, these guys are

448
00:23:55,720 --> 00:23:58,840
Speaker 4: are stars. They don't care anymore because they understand what's

449
00:23:58,840 --> 00:24:01,879
Speaker 4: at stake. So again, it's not just the athletes. I

450
00:24:01,880 --> 00:24:03,960
Speaker 4: think that's been going on for quite some time. But

451
00:24:04,200 --> 00:24:06,960
Speaker 4: you know that they're willing to get vocal that college kids,

452
00:24:07,760 --> 00:24:10,119
Speaker 4: young demographics. I think some of our biggest gains have

453
00:24:10,160 --> 00:24:12,119
Speaker 4: been frankly with gen Z people. I was, you know,

454
00:24:12,160 --> 00:24:14,919
Speaker 4: college parties at ASU, fifteen hundred kids show up with

455
00:24:14,920 --> 00:24:19,959
Speaker 4: a Mada hat on. It's just an entirely different world.

456
00:24:20,480 --> 00:24:24,800
Speaker 4: It's amazing to see it. It's very palpable. It's not

457
00:24:24,960 --> 00:24:28,080
Speaker 4: just a select few, it's all over the place. So

458
00:24:28,280 --> 00:24:30,359
Speaker 4: it's really special to see this going on right now.

459
00:24:31,040 --> 00:24:31,119
Speaker 5: Now.

460
00:24:31,160 --> 00:24:33,120
Speaker 1: I don't want to count any chickens before they hatch.

461
00:24:33,160 --> 00:24:36,879
Speaker 1: We're speaking of Don Junior. Everybody Donald Trump Junior. But

462
00:24:37,480 --> 00:24:39,800
Speaker 1: let's assume for a second that the right decisions made here.

463
00:24:39,840 --> 00:24:42,199
Speaker 1: Your dad gets four more years. Can you just take

464
00:24:42,280 --> 00:24:45,880
Speaker 1: us a little bit into the selection of personnel this

465
00:24:45,960 --> 00:24:48,960
Speaker 1: time around and the team he's going to build around him.

466
00:24:48,960 --> 00:24:51,240
Speaker 1: And this is one area came up in the Rogan podcast.

467
00:24:51,560 --> 00:24:53,760
Speaker 1: You know, your dad said, I had some great picks,

468
00:24:53,800 --> 00:24:55,080
Speaker 1: I had some not so great picks. I had to

469
00:24:55,080 --> 00:24:56,960
Speaker 1: fire some people, I had to bring some new people on.

470
00:24:57,640 --> 00:25:02,240
Speaker 1: This time around, people say, you know, personnel is policy, right,

471
00:25:02,240 --> 00:25:05,200
Speaker 1: I mean this time around, what is that team formation

472
00:25:05,400 --> 00:25:07,040
Speaker 1: going to look like? And how do you think your

473
00:25:07,119 --> 00:25:11,800
Speaker 1: dad's focus is going to shift or hone in on

474
00:25:11,960 --> 00:25:14,680
Speaker 1: building the best team of top level people around him

475
00:25:14,680 --> 00:25:15,600
Speaker 1: for the second term.

476
00:25:16,200 --> 00:25:18,359
Speaker 4: Well, yeah, I mean listen, last time around, it was

477
00:25:18,440 --> 00:25:20,359
Speaker 4: I think it was you know, he the first night

478
00:25:20,400 --> 00:25:22,240
Speaker 4: he had ever spent in Washington, DC was when he

479
00:25:22,280 --> 00:25:24,080
Speaker 4: moved into the White House. You had no knowledge, you

480
00:25:24,119 --> 00:25:26,000
Speaker 4: had no institutional base, you had none of that.

481
00:25:26,680 --> 00:25:26,800
Speaker 1: Uh.

482
00:25:26,960 --> 00:25:29,320
Speaker 4: You know, this time around, that's very different. You know

483
00:25:29,359 --> 00:25:31,560
Speaker 4: who the guys are that are the guys that will

484
00:25:31,560 --> 00:25:34,240
Speaker 4: deliver for the president. The guys that don't just think

485
00:25:34,320 --> 00:25:36,680
Speaker 4: they know better. You know that there's some sort of

486
00:25:36,760 --> 00:25:39,359
Speaker 4: unelected official that's going to decide what they duly elected

487
00:25:39,400 --> 00:25:42,000
Speaker 4: president of the United States is thinking. And you know decide.

488
00:25:42,119 --> 00:25:43,760
Speaker 4: You know what, we don't agree with that, so we're

489
00:25:43,760 --> 00:25:46,439
Speaker 4: just going to do it our way. It's just so different.

490
00:25:46,480 --> 00:25:49,640
Speaker 4: So I think from a personnel standpoint, you know those

491
00:25:49,680 --> 00:25:52,000
Speaker 4: things that's gone. You know, I'm glad he said that

492
00:25:52,000 --> 00:25:53,919
Speaker 4: because I agree with what he said on Rogan. You

493
00:25:53,920 --> 00:25:55,800
Speaker 4: know that that was one of the mistakes last time.

494
00:25:55,800 --> 00:25:57,760
Speaker 4: But you wouldn't have known, right you had the place.

495
00:25:58,000 --> 00:26:00,320
Speaker 4: You know, thousands of people in jobs you assume because

496
00:26:00,320 --> 00:26:01,680
Speaker 4: they have an rn X to your name, they're gonna

497
00:26:01,680 --> 00:26:04,360
Speaker 4: be on your team. They're not this time around. That's

498
00:26:04,400 --> 00:26:06,159
Speaker 4: not gonna happen. But also this time around you have

499
00:26:06,160 --> 00:26:08,800
Speaker 4: to be totally unique, right You have uh, you know,

500
00:26:08,840 --> 00:26:11,040
Speaker 4: eat a guy like an Elon, because hey, I want

501
00:26:11,040 --> 00:26:13,920
Speaker 4: to work on government efficiency. I mean, a guy that's

502
00:26:13,960 --> 00:26:14,840
Speaker 4: like the Einstein.

503
00:26:15,119 --> 00:26:17,359
Speaker 1: Is he wait? Can I don I gotta Is he

504
00:26:17,440 --> 00:26:20,840
Speaker 1: really gonna if we get Trump in, is Elon really

505
00:26:20,840 --> 00:26:23,040
Speaker 1: gonna do this government efficiency thing? I mean? Is that

506
00:26:23,160 --> 00:26:24,000
Speaker 1: it sounds amazing?

507
00:26:24,160 --> 00:26:26,760
Speaker 4: I'm like then, I mean, like, who wouldn't want that?

508
00:26:26,800 --> 00:26:29,159
Speaker 4: My father certainly wants that. Elon's offered to do it.

509
00:26:29,760 --> 00:26:31,600
Speaker 4: You have that, you have a guy like an RSK

510
00:26:32,440 --> 00:26:34,240
Speaker 4: let him handle the health thing. We may not agree

511
00:26:34,280 --> 00:26:36,119
Speaker 4: with him on everything, but like in health, you know,

512
00:26:36,160 --> 00:26:39,159
Speaker 4: whether it's the FDA, whether it's ajas uh, you know,

513
00:26:39,200 --> 00:26:41,960
Speaker 4: all of these things, Like we can expose so much

514
00:26:42,040 --> 00:26:45,479
Speaker 4: of that corruption. I mean, this is a true unified party,

515
00:26:45,800 --> 00:26:48,640
Speaker 4: people from all walks of life, people from different political

516
00:26:48,680 --> 00:26:52,000
Speaker 4: alliances that do have really great skill sets on so much.

517
00:26:52,280 --> 00:26:54,320
Speaker 4: You know, I want to unleash all of that. So

518
00:26:54,680 --> 00:26:57,280
Speaker 4: you know, we we can. We traded Liz and Dick

519
00:26:57,440 --> 00:27:03,600
Speaker 4: Cheney for Elon Musk, j Events, Telsea Gambard, Rsk Junior.

520
00:27:03,920 --> 00:27:06,560
Speaker 4: I mean, these guys can really change the world for

521
00:27:06,600 --> 00:27:09,920
Speaker 4: the better. So I think it's just an incredible opportunity. Frankly,

522
00:27:09,920 --> 00:27:12,960
Speaker 4: I think it's a once in a lifetime opportunity opportunity

523
00:27:13,000 --> 00:27:16,560
Speaker 4: politically to really bring in people who can effectuate real

524
00:27:16,640 --> 00:27:19,040
Speaker 4: change and who have the skill set to actually do it,

525
00:27:19,119 --> 00:27:21,000
Speaker 4: and with a guy like my father who's going to

526
00:27:21,040 --> 00:27:23,080
Speaker 4: empower them to do those things.

527
00:27:24,320 --> 00:27:27,080
Speaker 3: A couple of questions here to finish with you, we're

528
00:27:27,080 --> 00:27:29,280
Speaker 3: talking to Don Junior. Appreciate him taking the time after

529
00:27:29,320 --> 00:27:32,119
Speaker 3: speaking at Madison Square Garden. Where are you going to

530
00:27:32,160 --> 00:27:35,160
Speaker 3: be on election night? And if I gave you right now?

531
00:27:35,200 --> 00:27:38,040
Speaker 3: A magic wand and you can say I can see

532
00:27:38,440 --> 00:27:42,360
Speaker 3: I get to see one state's returns. What state would

533
00:27:42,400 --> 00:27:43,920
Speaker 3: that be? Would it be Pennsylvania?

534
00:27:44,000 --> 00:27:44,880
Speaker 1: What to you?

535
00:27:45,040 --> 00:27:47,480
Speaker 3: I know there's a lot of lynch pinned states out there,

536
00:27:47,800 --> 00:27:50,000
Speaker 3: but what would you want to be able to see

537
00:27:50,080 --> 00:27:51,920
Speaker 3: right now, eight days out if you could.

538
00:27:52,560 --> 00:27:55,719
Speaker 4: I mean, I've been Pennsylvania right now. That's where I'm

539
00:27:55,760 --> 00:27:58,640
Speaker 4: doing six events here today. So you know, obviously that's

540
00:27:58,760 --> 00:28:00,560
Speaker 4: you know, not just the keystone state and name. I

541
00:28:00,600 --> 00:28:03,080
Speaker 4: think it's a keystone state in this election. I think

542
00:28:03,160 --> 00:28:05,359
Speaker 4: that's so fundamentally critical. But you know the reality is

543
00:28:05,359 --> 00:28:07,000
Speaker 4: when I look at some of these early vote numbers,

544
00:28:07,040 --> 00:28:09,200
Speaker 4: I mean, you know, the stuff I'm seeing out of Arizona,

545
00:28:09,320 --> 00:28:11,359
Speaker 4: the stuff I'm seeing out of Nevada, the stuff I'm

546
00:28:11,359 --> 00:28:13,560
Speaker 4: saying George, I mean, all of these swing states. I mean,

547
00:28:13,880 --> 00:28:15,720
Speaker 4: it just looks really good. Now. I can't account for

548
00:28:15,720 --> 00:28:18,239
Speaker 4: the nonsense. I can't account for the games, the cheating, this,

549
00:28:18,320 --> 00:28:19,359
Speaker 4: that and the other. I mean, you know, I al

550
00:28:19,359 --> 00:28:20,800
Speaker 4: will say to win by one, we got to win

551
00:28:20,840 --> 00:28:23,080
Speaker 4: by five. You know, that's the reality, and that's how

552
00:28:23,080 --> 00:28:25,640
Speaker 4: the Democrats play, you know, and they're desperate. So I'm

553
00:28:25,640 --> 00:28:29,399
Speaker 4: sure they'll be playing extra hard this time around. But

554
00:28:29,440 --> 00:28:30,960
Speaker 4: I think, you know, if I have to pick one state, obviously,

555
00:28:30,960 --> 00:28:32,320
Speaker 4: I think Pennsylvania's priy that state.

556
00:28:33,200 --> 00:28:34,560
Speaker 3: And then are you going to be at mar A Lago?

557
00:28:34,640 --> 00:28:36,840
Speaker 3: What's the plan on election night? I can't even imagine

558
00:28:36,840 --> 00:28:39,080
Speaker 3: you some of your third different election night. I know,

559
00:28:39,160 --> 00:28:41,680
Speaker 3: the stress, the chaos, the craziness. What's your plan for

560
00:28:41,720 --> 00:28:42,120
Speaker 3: that night?

561
00:28:42,720 --> 00:28:44,640
Speaker 4: Yeah, I imagine I'll be on the road until the

562
00:28:44,720 --> 00:28:46,640
Speaker 4: very last second, until the last pole's closed, and then

563
00:28:46,680 --> 00:28:48,440
Speaker 4: I'll you know, somehow figure out how to get down

564
00:28:48,480 --> 00:28:50,400
Speaker 4: to mar A Lago. But you know, we're we're leaving

565
00:28:50,400 --> 00:28:52,000
Speaker 4: nothing on the field. We're going to be out there,

566
00:28:53,000 --> 00:28:59,120
Speaker 4: you know, entirely, you know, until the last second. We're

567
00:28:59,160 --> 00:29:01,120
Speaker 4: all in. We're to get this thing done. And yeah,

568
00:29:01,240 --> 00:29:03,080
Speaker 4: I'll end up there that night to be with my family.

569
00:29:03,880 --> 00:29:06,120
Speaker 4: But right now it's just divideed, conguer, we're split up,

570
00:29:06,120 --> 00:29:07,920
Speaker 4: We're all over the place. You know, we don't do

571
00:29:08,000 --> 00:29:09,280
Speaker 4: the Hey, I want to be red my dead so

572
00:29:09,320 --> 00:29:10,720
Speaker 4: I could be in the selfie for you know, some

573
00:29:11,120 --> 00:29:14,360
Speaker 4: picture later on. You know, we're splitting up and just

574
00:29:14,440 --> 00:29:16,800
Speaker 4: you know, covering everything as as a did you.

575
00:29:16,720 --> 00:29:20,200
Speaker 1: Guys make Baron ben down in family photos. Now I'm

576
00:29:20,240 --> 00:29:22,920
Speaker 1: just wondering, like he's like Kareem Abdul Jabbarhi.

577
00:29:23,960 --> 00:29:27,040
Speaker 4: Yeah, it's uh, you know, yeah, it's interesting. I'm like

578
00:29:27,040 --> 00:29:29,000
Speaker 4: the run to I'm six one one ninety five and

579
00:29:29,040 --> 00:29:31,040
Speaker 4: I'm like the runt in my family. It's it's kind

580
00:29:31,040 --> 00:29:35,680
Speaker 4: of embarrassing. Ah, No, it's all good. We're looking forward

581
00:29:35,760 --> 00:29:36,760
Speaker 4: to just being together for it.

582
00:29:37,360 --> 00:29:39,720
Speaker 3: Just one more time. You're in Pennsylvania right now. Your

583
00:29:39,800 --> 00:29:42,760
Speaker 3: dad is going to be at the huge Ohio State

584
00:29:42,840 --> 00:29:45,640
Speaker 3: penn State game, which, if you're a Big Ten football fan,

585
00:29:45,800 --> 00:29:47,640
Speaker 3: may be the biggest game of the year. I'm sorry

586
00:29:47,680 --> 00:29:50,560
Speaker 3: Michigan Wolverine fans, because you guys are not very good

587
00:29:50,560 --> 00:29:52,320
Speaker 3: this year. I think it's the biggest game in the

588
00:29:52,320 --> 00:29:55,920
Speaker 3: Big Ten this year. That should be an incredible atmosphere,

589
00:29:56,000 --> 00:29:57,520
Speaker 3: I would think, I know, he was just at the

590
00:29:57,560 --> 00:30:01,560
Speaker 3: Steeler game, but Saturday in Happy Valley, in the biggest

591
00:30:01,600 --> 00:30:04,360
Speaker 3: battleground state out there for the biggest game of the year,

592
00:30:04,600 --> 00:30:05,520
Speaker 3: that should be electric.

593
00:30:06,560 --> 00:30:08,520
Speaker 4: I think it's gonna be awesome. And and again you see it.

594
00:30:08,520 --> 00:30:10,320
Speaker 4: I mean you see it at at the Steelers game

595
00:30:10,360 --> 00:30:12,440
Speaker 4: this last weekend. You know, of course, you know the

596
00:30:12,520 --> 00:30:14,680
Speaker 4: major corporate media will try to cover it up. But

597
00:30:15,000 --> 00:30:16,760
Speaker 4: you know, the stadium in Pittsburgh, you know, this is

598
00:30:16,800 --> 00:30:18,959
Speaker 4: not exactly what we call the heart of you know, uh,

599
00:30:19,240 --> 00:30:21,280
Speaker 4: you know red part of Pennsylvania. I mean, this was

600
00:30:21,280 --> 00:30:25,040
Speaker 4: a very Democrat town and an entire stadium just going

601
00:30:25,120 --> 00:30:27,720
Speaker 4: nuts for Trump being there. You know, there's something going on.

602
00:30:27,800 --> 00:30:29,880
Speaker 4: There's something in there. You feel it, you see it.

603
00:30:29,960 --> 00:30:32,680
Speaker 4: Everyone knows it. You know, whatever games they're going to

604
00:30:32,720 --> 00:30:34,400
Speaker 4: try to play it, you know, I think a big

605
00:30:34,440 --> 00:30:36,720
Speaker 4: tenant of the Democrat and their games is that, you know,

606
00:30:36,760 --> 00:30:39,600
Speaker 4: people have to still believe that it's real, uh, when

607
00:30:39,640 --> 00:30:41,200
Speaker 4: when they're pulling off these things. I think that was

608
00:30:41,240 --> 00:30:42,719
Speaker 4: a big part of how they why they switched out

609
00:30:42,760 --> 00:30:45,760
Speaker 4: to Biden for Kamala Harris. They thought that maybe it'd

610
00:30:45,800 --> 00:30:47,640
Speaker 4: be more believable until they gave her the mic and

611
00:30:47,680 --> 00:30:51,640
Speaker 4: realized probably actually not the case. So I think that's

612
00:30:51,640 --> 00:30:53,080
Speaker 4: gonna be an awesome game, and I think it's gonna

613
00:30:53,080 --> 00:30:55,080
Speaker 4: be really cool to see if just the crowd response,

614
00:30:55,080 --> 00:30:57,800
Speaker 4: and again that's could be a young college crowd in

615
00:30:57,880 --> 00:31:01,160
Speaker 4: a college town, again not exactly a conservative place, and

616
00:31:01,160 --> 00:31:02,920
Speaker 4: I think you're gonna see them go absolutely wild. It

617
00:31:02,960 --> 00:31:03,600
Speaker 4: to be awesome.

618
00:31:03,920 --> 00:31:05,720
Speaker 3: I'll be there too. I think that's one hundred percent

619
00:31:05,800 --> 00:31:07,600
Speaker 3: day McCormick. We need to get him over the finish

620
00:31:07,680 --> 00:31:10,120
Speaker 3: line too. We appreciate the time. Great job yesterday at

621
00:31:10,120 --> 00:31:12,320
Speaker 3: the rally, and good luck over the next eight days.

622
00:31:12,800 --> 00:31:14,080
Speaker 4: Thanks a lot, guys, good talking to you.

623
00:31:14,680 --> 00:31:15,840
Speaker 1: That's Donald Trump Junior.

624
00:31:15,840 --> 00:31:17,840
Speaker 3: He was talking Buck about being at the Big ten

625
00:31:17,920 --> 00:31:21,120
Speaker 3: game between Ohio State UH and Penn State. I'm gonna

626
00:31:21,120 --> 00:31:23,240
Speaker 3: be up there helping Dave McCormick hopefully get over the

627
00:31:23,240 --> 00:31:26,640
Speaker 3: finish line. Unfortunately, Buck, I did not get us over

628
00:31:26,680 --> 00:31:29,880
Speaker 3: the finish line with Price Picks. Took it on the

629
00:31:30,000 --> 00:31:32,920
Speaker 3: chin every now and then it happens. We did not

630
00:31:33,080 --> 00:31:35,240
Speaker 3: get the win. But I'm gonna come back.

631
00:31:35,800 --> 00:31:38,080
Speaker 1: Wait, how manute you get right? You got to you

632
00:31:38,080 --> 00:31:40,640
Speaker 1: gotta eat your peas here, my friend. One for four,

633
00:31:42,320 --> 00:31:44,800
Speaker 1: one for four on the prize picks. Now, you wouldn't

634
00:31:44,840 --> 00:31:48,360
Speaker 1: have one entirely by fading me. But we took it

635
00:31:48,440 --> 00:31:51,400
Speaker 1: on the chin. This was a walloping, This was a shellacking.

636
00:31:51,840 --> 00:31:55,520
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637
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638
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639
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640
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641
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642
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645
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646
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647
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648
00:32:28,040 --> 00:32:31,760
Speaker 8: Get podcast extras in the Clay and Buck podcast feet find.

649
00:32:31,560 --> 00:32:34,520
Speaker 3: It on the iheartapp or wherever you get your podcasts.

650
00:32:34,960 --> 00:32:37,920
Speaker 1: All right, welcome back into Clay and Buck. A couple

651
00:32:37,960 --> 00:32:41,440
Speaker 1: of interesting things to keep on your radar here from

652
00:32:41,480 --> 00:32:46,920
Speaker 1: the news as it's breaking. Some some ballot boxes have

653
00:32:47,120 --> 00:32:51,840
Speaker 1: been blown up in Let me make sure I get

654
00:32:51,880 --> 00:32:55,960
Speaker 1: the places right, Portland and where else was it? I

655
00:32:56,000 --> 00:32:59,719
Speaker 1: think basically in Oregon and Washington State there have been

656
00:32:59,720 --> 00:33:03,680
Speaker 1: some ballot boxes blown up. Now I don't know anything

657
00:33:03,720 --> 00:33:05,720
Speaker 1: about this. Well, rather we don't, you know, when I

658
00:33:05,720 --> 00:33:07,560
Speaker 1: said don't know anything about this, we don't know who's

659
00:33:07,640 --> 00:33:11,680
Speaker 1: behind this. But I do think it's worth noting that

660
00:33:11,720 --> 00:33:14,880
Speaker 1: when you say, yeah, it's in Vancouver, Washington and Portland, Oregon.

661
00:33:15,280 --> 00:33:18,520
Speaker 1: By the way, Vancouver, Washington must get a lot. There

662
00:33:18,560 --> 00:33:21,280
Speaker 1: must be a lot of male meant for Vancouver, Canada

663
00:33:21,320 --> 00:33:23,720
Speaker 1: that ends up in Vancouver, Washington or something. I just

664
00:33:23,760 --> 00:33:26,960
Speaker 1: feel like you've got two cities near each other, different

665
00:33:26,960 --> 00:33:30,200
Speaker 1: countries though. What's up with that, Clay, tough break.

666
00:33:30,320 --> 00:33:34,680
Speaker 3: Vancouver, Canada one of the most beautiful places out there,

667
00:33:34,800 --> 00:33:38,720
Speaker 3: and so is Portland, and so is Washington, and they

668
00:33:38,720 --> 00:33:43,840
Speaker 3: have allowed themselves to be taken over by absolute maniacs.

669
00:33:43,520 --> 00:33:49,120
Speaker 1: The far left Antifa anarchists. Their homeland is the Pacific Northwest.

670
00:33:49,200 --> 00:33:51,160
Speaker 1: You have more of it in Portland and Seattle than

671
00:33:51,200 --> 00:33:55,680
Speaker 1: anywhere else in the country, and I particularly Portland, so

672
00:33:55,800 --> 00:33:58,200
Speaker 1: to me, you know, we don't know, but this looks

673
00:33:58,240 --> 00:34:01,640
Speaker 1: like anarchist loon stuff to me. And it's probably a

674
00:34:01,680 --> 00:34:03,320
Speaker 1: lot of Democrat votes in there, to be honest with you,

675
00:34:03,400 --> 00:34:05,400
Speaker 1: but you know who knows. We'll continue to look at

676
00:34:05,400 --> 00:34:08,880
Speaker 1: this and give you any updates as needed before we

677
00:34:08,880 --> 00:34:10,640
Speaker 1: get on the jd vance thing. To Clay, I just

678
00:34:10,640 --> 00:34:14,719
Speaker 1: wanted to hit on this that that Joe Biden isn't

679
00:34:15,160 --> 00:34:18,840
Speaker 1: campaigning with Kamala Harris is really is really Once you

680
00:34:18,880 --> 00:34:21,400
Speaker 1: think about it, you can't stop thinking about it. You go, Wow,

681
00:34:22,160 --> 00:34:26,360
Speaker 1: they have the incumbent president, and based on the campaign

682
00:34:26,400 --> 00:34:28,799
Speaker 1: of the last sixty days, you would never know it.

683
00:34:28,960 --> 00:34:30,799
Speaker 1: You wouldn't even know who the president is right now.

684
00:34:31,440 --> 00:34:34,680
Speaker 3: Well, also Axios reported and it now appears to be

685
00:34:34,719 --> 00:34:39,279
Speaker 3: true that Joe Biden has been asking to campaign with

686
00:34:39,360 --> 00:34:43,480
Speaker 3: Kamala Harris and they're refusing to allow him to attend

687
00:34:43,480 --> 00:34:44,360
Speaker 3: any of their events.

688
00:34:46,000 --> 00:34:49,279
Speaker 1: Think about how crazy this is. I mean, he's going

689
00:34:49,360 --> 00:34:52,440
Speaker 1: to remember this she loses. By the way, if she loses,

690
00:34:52,520 --> 00:34:55,680
Speaker 1: Clay Joe Biden, I think he is going to go

691
00:34:55,760 --> 00:34:58,080
Speaker 1: scorch short, because why wouldn't you. He doesn't have that

692
00:34:58,160 --> 00:35:00,160
Speaker 1: much time left. Let's be honest, right, I mean, he

693
00:35:00,200 --> 00:35:03,360
Speaker 1: goes another decade or so, God willing. But I'm just saying,

694
00:35:04,440 --> 00:35:06,759
Speaker 1: if I'm Joe Biden, I light it up over this thing. Oh,

695
00:35:06,880 --> 00:35:09,560
Speaker 1: I think Kama loses. I think it's gonna be Jill.

696
00:35:11,040 --> 00:35:14,840
Speaker 3: Jill never liked Kamala because she called Joe a racist

697
00:35:15,280 --> 00:35:18,839
Speaker 3: on the stage in her twenty twenty campaign, and there

698
00:35:18,840 --> 00:35:22,880
Speaker 3: have been reports that Jill has said before, out of everybody,

699
00:35:22,920 --> 00:35:25,520
Speaker 3: we could take, why in the world would we take her?

700
00:35:25,600 --> 00:35:30,319
Speaker 3: I'm paraphrasing and Jill, you know, Buck has tried to

701
00:35:30,400 --> 00:35:34,640
Speaker 3: protect Joe's mental collapse more than almost anyone out there,

702
00:35:35,360 --> 00:35:40,839
Speaker 3: and I think the final indignity is to not even

703
00:35:40,920 --> 00:35:45,240
Speaker 3: allow Joe Biden to go out in a fighting method.

704
00:35:45,280 --> 00:35:49,080
Speaker 3: You know, the gladiators back in the day, they said

705
00:35:49,120 --> 00:35:51,200
Speaker 3: I want to go out on my shield, and you'll

706
00:35:51,239 --> 00:35:54,880
Speaker 3: still hear boxers talk about that today, like, don't throw

707
00:35:54,920 --> 00:35:57,279
Speaker 3: in the towel for me if I get if I

708
00:35:57,320 --> 00:35:59,680
Speaker 3: get ko, let me go out on my like let

709
00:35:59,680 --> 00:36:02,360
Speaker 3: me go out as a man. Basically, the ancient Spartans

710
00:36:02,360 --> 00:36:06,279
Speaker 3: had this saying come back with your shield, meaning you've

711
00:36:06,320 --> 00:36:08,080
Speaker 3: won the battle or on it. And this goes to

712
00:36:08,120 --> 00:36:11,160
Speaker 3: the large heavy the hop lawn that they carried. You

713
00:36:11,200 --> 00:36:13,840
Speaker 3: couldn't run with that thing, so if you ran from battle,

714
00:36:13,880 --> 00:36:16,480
Speaker 3: you would be They actually had a disparaging term they

715
00:36:16,480 --> 00:36:20,200
Speaker 3: called people shield tosser in Greece, and that meant that

716
00:36:20,239 --> 00:36:23,480
Speaker 3: you threw your shield and were basically making a run

717
00:36:23,520 --> 00:36:25,560
Speaker 3: for it. So it was come back with your shielder

718
00:36:25,640 --> 00:36:28,359
Speaker 3: on it because one of the ways they carried dead bodies. Again,

719
00:36:28,440 --> 00:36:30,680
Speaker 3: the large shield, the hoplawn they had was to put

720
00:36:30,680 --> 00:36:32,920
Speaker 3: a body on it, and then the gladiators had, you know,

721
00:36:32,960 --> 00:36:35,759
Speaker 3: we were about to die, salute you. Same attitude of like,

722
00:36:36,920 --> 00:36:38,600
Speaker 3: let me go with my sword in my hand, let

723
00:36:38,680 --> 00:36:40,399
Speaker 3: me die on my feet, not on my knees kind

724
00:36:40,400 --> 00:36:42,840
Speaker 3: of a thing. And they're not gonna let Joe Biden

725
00:36:43,520 --> 00:36:48,799
Speaker 3: go out on his final campaign and actually make the

726
00:36:48,840 --> 00:36:52,360
Speaker 3: case that his career matters in a big way. It's insulting.

727
00:36:52,400 --> 00:36:54,720
Speaker 3: I mean, buck we talked about the start the show.

728
00:36:55,280 --> 00:36:57,840
Speaker 3: To me, when I watched that Madison Square Garden rally,

729
00:36:58,960 --> 00:37:03,640
Speaker 3: it felt almost And I know Trump is not renowned

730
00:37:03,640 --> 00:37:09,200
Speaker 3: for his nostalgia or his sense of the past, right,

731
00:37:09,360 --> 00:37:11,640
Speaker 3: And sometimes when you're very forward thinking, you don't spend

732
00:37:11,640 --> 00:37:14,399
Speaker 3: a lot of time reflecting. I think he's been more

733
00:37:14,480 --> 00:37:17,080
Speaker 3: reflective in this campaign, one because they tried to kill him,

734
00:37:17,360 --> 00:37:20,560
Speaker 3: and I think a brush with death very often causes

735
00:37:20,600 --> 00:37:23,120
Speaker 3: you to be more reflective about your own life than

736
00:37:23,160 --> 00:37:26,760
Speaker 3: you might otherwise be. But also, as I watched him speak,

737
00:37:27,360 --> 00:37:33,960
Speaker 3: it felt like it was a celebration of his experience

738
00:37:34,000 --> 00:37:38,600
Speaker 3: in New York and his entire trajectory of life that

739
00:37:39,040 --> 00:37:41,480
Speaker 3: in many does that make sense, and that's what I said.

740
00:37:41,280 --> 00:37:42,839
Speaker 1: Earlier, I kind of felt like, as a New York

741
00:37:43,040 --> 00:37:45,040
Speaker 1: I loved it. I got to tell you, it's honestly

742
00:37:45,080 --> 00:37:46,840
Speaker 1: to the embarrassment of New York City, which is a

743
00:37:46,840 --> 00:37:48,640
Speaker 1: place that I still love, as crazy as it is,

744
00:37:48,680 --> 00:37:52,000
Speaker 1: I always love New York City, but that this native

745
00:37:52,000 --> 00:37:55,280
Speaker 1: son of New York was the president and maybe president again,

746
00:37:55,400 --> 00:37:57,640
Speaker 1: and he is largely at least by the population of

747
00:37:57,680 --> 00:37:59,799
Speaker 1: the five boroughs, well, actually the four boroughs because state

748
00:37:59,800 --> 00:38:02,160
Speaker 1: and Iland. Trump is strong in stan Island, but the

749
00:38:02,160 --> 00:38:07,000
Speaker 1: other four boroughs largely shunned, shunned Donald Trump. And I

750
00:38:07,040 --> 00:38:08,719
Speaker 1: think it just goes to to how crazy they are.

751
00:38:08,840 --> 00:38:11,480
Speaker 1: I do want to get to JD vance, Jdvans v

752
00:38:11,600 --> 00:38:16,960
Speaker 1: Tapper on on just look. The best way we can

753
00:38:17,000 --> 00:38:19,280
Speaker 1: do this is let you hear how this goes. Tapper

754
00:38:19,360 --> 00:38:22,439
Speaker 1: is a Democrat operative works at CNN, okay, and he's

755
00:38:22,480 --> 00:38:25,520
Speaker 1: one of the smoother, slicker ones. He you know, he

756
00:38:25,719 --> 00:38:27,879
Speaker 1: he does his research. He's not one of these sort

757
00:38:27,920 --> 00:38:30,400
Speaker 1: of clowns who just cries and screams and shouts. But

758
00:38:30,560 --> 00:38:33,279
Speaker 1: he's a Democrat operative. He works at CNN, and here

759
00:38:33,320 --> 00:38:37,879
Speaker 1: he is trying to work his usual routine of I'm

760
00:38:37,880 --> 00:38:39,480
Speaker 1: just pointing at the quotes. I'm just pointing at the

761
00:38:39,560 --> 00:38:41,600
Speaker 1: facts and jd Vance this is how he handles to

762
00:38:41,680 --> 00:38:42,080
Speaker 1: play one.

763
00:38:42,360 --> 00:38:46,480
Speaker 7: Ask yourself a basic question about network integrity. You guys

764
00:38:46,600 --> 00:38:48,960
Speaker 7: talked about the Russia hoax NonStop.

765
00:38:49,080 --> 00:38:51,840
Speaker 1: The FBI was investigating it. The FBI was investigating it.

766
00:38:52,080 --> 00:38:55,000
Speaker 7: So we recovered that, and so you took the words

767
00:38:55,000 --> 00:38:57,520
Speaker 7: of unnamed FBI agents and put them on your network

768
00:38:57,560 --> 00:38:58,919
Speaker 7: as if they were the gospel truth.

769
00:38:58,960 --> 00:39:00,240
Speaker 1: You did it again and again.

770
00:39:00,360 --> 00:39:03,120
Speaker 7: A viewer of your network would have believed that Donald

771
00:39:03,120 --> 00:39:05,840
Speaker 7: Trump and Vladimir Putin conspired in twenty sixteen.

772
00:39:06,200 --> 00:39:09,080
Speaker 1: That was totally, im preposterously false. Now, well, that's what

773
00:39:09,120 --> 00:39:11,880
Speaker 1: you just said is false. We covered an FBI investigation.

774
00:39:11,960 --> 00:39:13,360
Speaker 9: I don't know why you want to talk about the

775
00:39:13,440 --> 00:39:14,320
Speaker 9: FBI investigation.

776
00:39:14,560 --> 00:39:17,120
Speaker 7: You covered it in a way that gave credence to

777
00:39:17,200 --> 00:39:21,680
Speaker 7: anonymous sources accusations. You did it yourself, Your network did it, Jake,

778
00:39:21,920 --> 00:39:25,759
Speaker 7: But again, can we talk about the issues that Americans.

779
00:39:25,239 --> 00:39:27,640
Speaker 9: Can I'm talking about things that Donald Trump has said.

780
00:39:27,840 --> 00:39:29,520
Speaker 7: Yes, if you haven't an issue.

781
00:39:29,239 --> 00:39:31,279
Speaker 9: With whether or not he's talking about the economy, enough,

782
00:39:31,400 --> 00:39:32,839
Speaker 9: that's between you and your running mate.

783
00:39:32,840 --> 00:39:35,480
Speaker 1: I'm talking about things he has said this. We every

784
00:39:35,600 --> 00:39:36,919
Speaker 1: single rally that he does.

785
00:39:36,960 --> 00:39:39,479
Speaker 7: He talks about how he wants to unleash American energy

786
00:39:39,560 --> 00:39:41,719
Speaker 7: so we can lower the cost of groceries. He talks

787
00:39:41,719 --> 00:39:44,520
Speaker 7: about the fact that housing has become unaffordable. He talks

788
00:39:44,520 --> 00:39:45,680
Speaker 7: about the wide open border.

789
00:39:45,760 --> 00:39:49,279
Speaker 1: Jake Clay can I just that's so it's interesting because

790
00:39:49,239 --> 00:39:52,080
Speaker 1: he obviously touched on a sore point there. CNN and

791
00:39:52,160 --> 00:39:54,640
Speaker 1: Tapper was very much involved with the laundering of the

792
00:39:54,680 --> 00:39:58,239
Speaker 1: dossier through law enforcement and Intel sources to pretend that

793
00:39:58,280 --> 00:40:04,720
Speaker 1: a Clinton campaign paid for document, a Clinton campaign opo document. Okay,

794
00:40:05,600 --> 00:40:08,680
Speaker 1: then got pushed to the Intel community, who then pretended

795
00:40:08,960 --> 00:40:13,040
Speaker 1: that this was somehow verified and vetted, and then ran

796
00:40:13,120 --> 00:40:17,280
Speaker 1: it back to CNN among others in BuzzFeed and pretended

797
00:40:17,280 --> 00:40:19,600
Speaker 1: like this was it was. The whole thing was a hoax.

798
00:40:19,640 --> 00:40:22,200
Speaker 1: It was a sham, and the notion that people didn't

799
00:40:22,520 --> 00:40:24,760
Speaker 1: because of the way they covered it, believed that Russia

800
00:40:24,880 --> 00:40:27,319
Speaker 1: stole the twenty sixteen election. I mean, go I just

801
00:40:27,320 --> 00:40:31,120
Speaker 1: pulled this up. I mean, there's there's polling data. Seventy

802
00:40:31,160 --> 00:40:34,480
Speaker 1: two percent of Democrats as of twenty twenty believed it

803
00:40:34,760 --> 00:40:37,960
Speaker 1: likely the twenty sixteen election outcome was changed by Russian

804
00:40:38,360 --> 00:40:42,680
Speaker 1: direct interference. Seventy two percent of Democrats believe Russia collusion

805
00:40:42,840 --> 00:40:45,400
Speaker 1: because on CNN it was always all but look at Putin,

806
00:40:45,440 --> 00:40:48,000
Speaker 1: look at Trump. Oh, they're playing this game all the time,

807
00:40:48,760 --> 00:40:50,600
Speaker 1: and now they want to lecture everybody and how Trump

808
00:40:50,640 --> 00:40:53,280
Speaker 1: is a fascist again. Jad Vance just not having it. Clay,

809
00:40:54,600 --> 00:40:56,960
Speaker 1: He's so much smarter than most of the people interviewing him.

810
00:40:57,640 --> 00:40:59,800
Speaker 3: You and I have said this for some time, and

811
00:41:00,080 --> 00:41:01,360
Speaker 3: some of you out there are gonna say, yeah, you

812
00:41:01,360 --> 00:41:05,480
Speaker 3: and Bucker morons. I would put this challenge out. I

813
00:41:05,520 --> 00:41:07,839
Speaker 3: think that if Buck and I had to go head

814
00:41:07,840 --> 00:41:12,040
Speaker 3: to head against any daily media show on the planet,

815
00:41:12,760 --> 00:41:15,640
Speaker 3: we would win, and in like a quiz bowl or

816
00:41:15,680 --> 00:41:16,759
Speaker 3: in like a not.

817
00:41:16,760 --> 00:41:19,160
Speaker 1: To be arrogant, it would be. It would be devastation

818
00:41:19,520 --> 00:41:21,480
Speaker 1: us versus the ladies of the view. I mean, they

819
00:41:22,000 --> 00:41:24,399
Speaker 1: could only ask us the questions in Spanish, which neither

820
00:41:24,440 --> 00:41:26,399
Speaker 1: of us speak, and we would still do better than them.

821
00:41:27,280 --> 00:41:31,000
Speaker 3: I so, but there are a lot of people out

822
00:41:31,040 --> 00:41:34,040
Speaker 3: there that are protected by their staffs, that have the

823
00:41:34,080 --> 00:41:37,080
Speaker 3: teleprompter in front of them, and I think what you

824
00:41:37,160 --> 00:41:41,880
Speaker 3: see with JD is he is the perfect robin to

825
00:41:41,960 --> 00:41:46,680
Speaker 3: Trump's Batman, by which I mean this Trump gets to

826
00:41:46,719 --> 00:41:51,000
Speaker 3: the right solution on almost everything. Buck right, he gets there,

827
00:41:51,680 --> 00:41:54,239
Speaker 3: but he is the proverbial bullet of China shop, and

828
00:41:54,280 --> 00:41:57,600
Speaker 3: he just breaks everything to get to the final result.

829
00:41:58,160 --> 00:42:00,520
Speaker 3: And usually if you go back and look at media coverage,

830
00:42:00,560 --> 00:42:03,520
Speaker 3: they don't even go after his final result. Positions are

831
00:42:03,680 --> 00:42:07,319
Speaker 3: very much anymore. It's all like, well, Trump said X,

832
00:42:07,520 --> 00:42:09,320
Speaker 3: and why is the actual number?

833
00:42:09,440 --> 00:42:11,400
Speaker 1: And they don't actually go to the end result.

834
00:42:12,000 --> 00:42:12,280
Speaker 4: JD.

835
00:42:12,440 --> 00:42:17,160
Speaker 3: Vance is a more polished Trump. He puts the arguments

836
00:42:17,200 --> 00:42:22,680
Speaker 3: into place an order and is devastating because then they

837
00:42:22,680 --> 00:42:24,799
Speaker 3: don't really have anything left to push back on. And

838
00:42:24,840 --> 00:42:27,640
Speaker 3: you actually heard Jake Tapper there to me, Buck kind

839
00:42:27,640 --> 00:42:29,440
Speaker 3: of lose it a little bit, right, like he was

840
00:42:29,480 --> 00:42:32,240
Speaker 3: sputtering a little bit of fulminating rage that you started

841
00:42:32,239 --> 00:42:34,680
Speaker 3: to seem known to get a little pissy sometimes, and

842
00:42:34,719 --> 00:42:38,399
Speaker 3: that was what was going on here. Let's keep going

843
00:42:38,400 --> 00:42:40,120
Speaker 3: with this because JD just did a phenomenal job this

844
00:42:40,200 --> 00:42:41,400
Speaker 3: continuation of this interview.

845
00:42:41,840 --> 00:42:44,440
Speaker 1: He really thinks he's gonna nail JD on the you

846
00:42:44,480 --> 00:42:46,800
Speaker 1: know Trump is a fascist, Like, listen to what he says,

847
00:42:46,800 --> 00:42:48,520
Speaker 1: and what about the general who said that Trump is

848
00:42:48,560 --> 00:42:50,839
Speaker 1: a fascist. And it's the same exactly what we heard

849
00:42:50,840 --> 00:42:53,000
Speaker 1: four years ago. I might d here you go, cut two,

850
00:42:53,200 --> 00:42:53,640
Speaker 1: play it.

851
00:42:53,760 --> 00:42:56,840
Speaker 7: Kamala Harris and her allies. You know it's interesting, Kamala

852
00:42:56,880 --> 00:42:57,960
Speaker 7: Harris and her media allies.

853
00:42:57,960 --> 00:42:59,640
Speaker 1: And I would put CNN in this category.

854
00:42:59,800 --> 00:43:02,400
Speaker 7: You guys, guys seem to tell I'll tell you that

855
00:43:02,400 --> 00:43:04,560
Speaker 7: they would. Well, they should watch your network more because

856
00:43:04,640 --> 00:43:08,400
Speaker 7: you guys seem to care more about Donald Trump's past

857
00:43:08,760 --> 00:43:11,640
Speaker 7: than the future of the American people. We're running this

858
00:43:11,800 --> 00:43:15,480
Speaker 7: campaign on making of the American dreams, specifically.

859
00:43:14,840 --> 00:43:17,520
Speaker 9: Asking about how Donald Trump is going to be president

860
00:43:17,600 --> 00:43:19,480
Speaker 9: in the future should he win. And then we're being

861
00:43:19,520 --> 00:43:21,880
Speaker 9: told we're going to pursue economic policies that lower the

862
00:43:21,880 --> 00:43:24,160
Speaker 9: cost of groceries and make life more affordable again. He

863
00:43:24,200 --> 00:43:26,640
Speaker 9: talks about it every single day on the campaign trail,

864
00:43:26,880 --> 00:43:29,520
Speaker 9: and so do I. What you're talking about is is

865
00:43:29,840 --> 00:43:35,040
Speaker 9: an anonymously sourced story or one guy who one guy, one.

866
00:43:34,840 --> 00:43:37,200
Speaker 7: Guy who is a disgruntled employee. I told her five

867
00:43:37,239 --> 00:43:40,239
Speaker 7: other people. Five other people pushed back against him and

868
00:43:40,320 --> 00:43:43,040
Speaker 7: said that what he said was dishonest. So why don't

869
00:43:43,080 --> 00:43:46,719
Speaker 7: we talk about the policy that's affecting American citizens and

870
00:43:46,760 --> 00:43:48,960
Speaker 7: not what Donald Trump allegedly said.

871
00:43:49,200 --> 00:43:51,200
Speaker 1: According to one guy who's pissed off because he got

872
00:43:51,239 --> 00:43:54,880
Speaker 1: fired by Donald Trump, that's how you got to handle it.

873
00:43:54,880 --> 00:43:56,759
Speaker 1: They're gonna they're gonna throw different things that you. One

874
00:43:56,760 --> 00:43:58,759
Speaker 1: of the favorite tactics of Democrats when they're in what

875
00:43:58,800 --> 00:44:01,440
Speaker 1: should be a debate or exchange is ask you about

876
00:44:01,440 --> 00:44:04,640
Speaker 1: one thing, and then when when you're dismantling it, say well,

877
00:44:04,640 --> 00:44:06,680
Speaker 1: why aren't you talking about this other thing? Like they

878
00:44:06,800 --> 00:44:10,400
Speaker 1: just shift the subject, make it about something else. I

879
00:44:10,440 --> 00:44:14,880
Speaker 1: think JD handled this very well, and I think Jad's

880
00:44:14,880 --> 00:44:17,040
Speaker 1: got I don't know. I think he's got a big future. Everybody.

881
00:44:17,080 --> 00:44:18,400
Speaker 1: I think JD's got a big future.

882
00:44:19,320 --> 00:44:21,680
Speaker 3: I think the big story here that's going to come

883
00:44:21,719 --> 00:44:24,600
Speaker 3: out of this election cycle. You know, you go back

884
00:44:24,600 --> 00:44:27,160
Speaker 3: in time. I'm a media nerd, buck, and you go

885
00:44:27,239 --> 00:44:30,960
Speaker 3: back and you say, Okay, FDR really realized the power

886
00:44:31,080 --> 00:44:34,160
Speaker 3: of radio with his fireside chats and how it could

887
00:44:34,360 --> 00:44:38,560
Speaker 3: events and change communication. I would submit to you that

888
00:44:38,719 --> 00:44:43,440
Speaker 3: in Ronald Reagan certainly understand how to communicate better on

889
00:44:43,520 --> 00:44:46,719
Speaker 3: television maybe than any president, but that Kennedy was the

890
00:44:46,719 --> 00:44:48,319
Speaker 3: first one to really benefit from it.

891
00:44:48,360 --> 00:44:49,959
Speaker 1: Obviously, nineteen sixty.

892
00:44:49,600 --> 00:44:53,120
Speaker 3: Debate, I would tell you twenty sixteen to me, Harold

893
00:44:53,160 --> 00:44:56,320
Speaker 3: did the rise of social media, and I thought Trump's

894
00:44:56,360 --> 00:45:00,600
Speaker 3: team handled that very well. Twenty twenty four buck to me,

895
00:45:01,200 --> 00:45:06,120
Speaker 3: the story of media is the disaggregation of the prime

896
00:45:06,840 --> 00:45:11,440
Speaker 3: distribution mechanisms, whether it's CNN, whether it's MSNBC. Fox News

897
00:45:11,480 --> 00:45:13,400
Speaker 3: still has a big audience, but I think.

898
00:45:13,480 --> 00:45:15,120
Speaker 1: You're seeing more and more.

899
00:45:15,320 --> 00:45:20,360
Speaker 3: Of a sort of different islands of outreach, and instead

900
00:45:20,360 --> 00:45:23,319
Speaker 3: of having the sort of voice of God broadcast, what

901
00:45:23,440 --> 00:45:27,040
Speaker 3: people are searching for is authenticity. And I think what

902
00:45:27,120 --> 00:45:30,000
Speaker 3: the Jake Tappers of the world are getting blown up

903
00:45:30,440 --> 00:45:34,680
Speaker 3: because they're inauthenticity In an era when Elon is allowing

904
00:45:35,080 --> 00:45:38,880
Speaker 3: full speech on social media can be cut and pasted

905
00:45:38,920 --> 00:45:42,600
Speaker 3: together in a way that did not exist before, and

906
00:45:42,719 --> 00:45:46,960
Speaker 3: the hypocrisy becomes more transparent. I mean, there's good evidence

907
00:45:47,000 --> 00:45:51,040
Speaker 3: of that. Remember Dana Perino, not Dana Prino, Dana Bash.

908
00:45:51,719 --> 00:45:53,640
Speaker 3: Dana Pirno does a great job with Fox News. But

909
00:45:53,719 --> 00:45:58,920
Speaker 3: Dana Bash interviewed jad Vance, and she interviewed Kamala and

910
00:45:59,000 --> 00:46:02,920
Speaker 3: Walls together and they just put a devastating cut of

911
00:46:02,960 --> 00:46:06,520
Speaker 3: her questions and the tone in which they were delivered,

912
00:46:07,000 --> 00:46:09,279
Speaker 3: and it was self evident that she was not, as

913
00:46:09,320 --> 00:46:13,600
Speaker 3: she claims, an unbiased journalist. In fact, her questioning was

914
00:46:13,680 --> 00:46:16,359
Speaker 3: totally different of the two parties, and I think that's

915
00:46:16,360 --> 00:46:19,239
Speaker 3: what's kind of blown up any legitimacy that they might

916
00:46:19,280 --> 00:46:19,800
Speaker 3: have left.

917
00:46:20,120 --> 00:46:23,279
Speaker 1: I do want to point out that. And there's a Okay,

918
00:46:23,360 --> 00:46:26,560
Speaker 1: I will tell you this. I know somebody who overheard

919
00:46:26,719 --> 00:46:29,960
Speaker 1: Jeff Zucker and his assistant during a phone call this

920
00:46:30,120 --> 00:46:34,000
Speaker 1: was written about. I know the guy who was there saying,

921
00:46:34,000 --> 00:46:36,000
Speaker 1: if Trump wants to go to war with CNN, CNN

922
00:46:36,040 --> 00:46:37,200
Speaker 1: is going to go to war with Trump. This is

923
00:46:37,200 --> 00:46:40,399
Speaker 1: back in twenty sixteen, Okay, And I just think it's

924
00:46:40,400 --> 00:46:42,640
Speaker 1: funny because that was from the very top. Zucker turned

925
00:46:42,680 --> 00:46:45,640
Speaker 1: CNN into he's now gone because he's ruined the network

926
00:46:45,680 --> 00:46:47,960
Speaker 1: for whatever it was. But he turned CNN into an

927
00:46:48,000 --> 00:46:54,560
Speaker 1: anti Trump machine, and Trump has basically broken CNN. It's official.

928
00:46:55,200 --> 00:46:56,520
Speaker 1: They don't know who they are, they don't know what

929
00:46:56,560 --> 00:46:59,760
Speaker 1: they're gonna do. Their ratings are trash Trump took on. Remember,

930
00:46:59,800 --> 00:47:02,400
Speaker 1: they were a much more dominant force in the news

931
00:47:02,480 --> 00:47:05,239
Speaker 1: in twenty sixteen than they are today. So it's really

932
00:47:05,680 --> 00:47:08,080
Speaker 1: it's like a shadow of their former self, not just

933
00:47:08,120 --> 00:47:09,920
Speaker 1: in terms of ratings, but really just in terms of

934
00:47:10,640 --> 00:47:13,560
Speaker 1: influence in the national political compete. It's kind of a joke.

935
00:47:13,880 --> 00:47:16,279
Speaker 1: It's a joke. Honestly. I don't take CNN seriously. I

936
00:47:16,320 --> 00:47:18,960
Speaker 1: don't think it's anchors or talented or interesting. And I

937
00:47:18,960 --> 00:47:23,080
Speaker 1: think the whole place needs a total revamp. Trump broke them.

938
00:47:23,520 --> 00:47:25,319
Speaker 1: And this is the thing. And some of the old

939
00:47:25,360 --> 00:47:27,200
Speaker 1: timers who have been there a long time, who missed

940
00:47:27,239 --> 00:47:29,600
Speaker 1: the glory days of being treated so seriously and getting

941
00:47:29,600 --> 00:47:33,799
Speaker 1: their big paychecks and everything else while they did Democrat propaganda,

942
00:47:34,040 --> 00:47:35,080
Speaker 1: Trump crushed their spirit.

943
00:47:35,120 --> 00:47:37,520
Speaker 3: Dude, It's true, buck, This is one of the big

944
00:47:37,600 --> 00:47:41,200
Speaker 3: lessons of life. Don't allow yourself to become what you hate.

945
00:47:42,400 --> 00:47:45,600
Speaker 3: Yeah right, I mean they claim that Trump was going

946
00:47:45,640 --> 00:47:50,080
Speaker 3: to destroy the media. Instead their pursuit of Trump destroyed them.

947
00:47:50,520 --> 00:47:54,000
Speaker 3: And he's going to get re elected president, I believe,

948
00:47:54,120 --> 00:47:56,800
Speaker 3: and CNN's audience is going to continue to dwindle in

949
00:47:56,840 --> 00:47:59,479
Speaker 3: their legitimacy and prestige is on a scrap heap.

950
00:48:00,160 --> 00:48:03,000
Speaker 1: I got to give you an important reminder, which is

951
00:48:03,000 --> 00:48:06,520
Speaker 1: that there's no worst feeling that any of us can have,

952
00:48:06,600 --> 00:48:08,239
Speaker 1: and just sort of our day to day when it

953
00:48:08,280 --> 00:48:12,799
Speaker 1: comes to our data information than when you feel like

954
00:48:12,880 --> 00:48:14,719
Speaker 1: you've been exposed and you could be at risk for

955
00:48:14,800 --> 00:48:18,400
Speaker 1: identity theft. Oh my gosh, think of all the financial

956
00:48:18,440 --> 00:48:21,799
Speaker 1: implications of this, the hours you're going to spend, the

957
00:48:22,160 --> 00:48:24,840
Speaker 1: damage you can do to your name online too. Identity

958
00:48:24,840 --> 00:48:28,520
Speaker 1: thieves are everywhere. I've had identity theft issues in the past,

959
00:48:28,520 --> 00:48:30,400
Speaker 1: so many of you have too. I get text messages

960
00:48:30,480 --> 00:48:34,399
Speaker 1: day in and day out from very sophisticated hackers trying

961
00:48:34,400 --> 00:48:38,359
Speaker 1: to fish for my information. You need someone watching your back.

962
00:48:38,400 --> 00:48:42,480
Speaker 1: That's where the LifeLock comes in. Become a LifeLock member today,

963
00:48:42,560 --> 00:48:46,440
Speaker 1: easy to do. You'll immediately start receiving Lifelocks identity theft protection.

964
00:48:46,760 --> 00:48:49,080
Speaker 1: Their systems track hundreds of millions of data points per

965
00:48:49,120 --> 00:48:51,480
Speaker 1: second to detect and alert you to a wide range

966
00:48:51,480 --> 00:48:55,160
Speaker 1: of identity threats detected in their system. You want comprehensive

967
00:48:55,160 --> 00:48:58,000
Speaker 1: identity protection from cyber criminals and real peace of mind,

968
00:48:58,280 --> 00:49:01,680
Speaker 1: you need Lifelocks help. Start protecting your identity today with

969
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Speaker 1: a thirty day free trial at LifeLock dot com. Use

970
00:49:04,800 --> 00:49:07,799
Speaker 1: my name Buck as your promo code. Terms apply.

971
00:49:09,239 --> 00:49:13,240
Speaker 8: News and politics, but also a little comic relief. Clay

972
00:49:13,320 --> 00:49:17,360
Speaker 8: Travis and Buck Sexton find them on the free iHeartRadio

973
00:49:17,400 --> 00:49:19,960
Speaker 8: app or wherever you get your podcasts.

974
00:49:20,520 --> 00:49:23,160
Speaker 1: Welcome in to Clay and Buck. We're going to dive

975
00:49:23,200 --> 00:49:28,200
Speaker 1: into some good stuff concerning stuff all election related here

976
00:49:28,239 --> 00:49:32,360
Speaker 1: coming up in the next hour, including JD Vance putting

977
00:49:32,360 --> 00:49:35,160
Speaker 1: on a clinic with how to deal with the fake

978
00:49:35,520 --> 00:49:39,080
Speaker 1: of fake news media that come after JD Vance JD

979
00:49:39,880 --> 00:49:43,560
Speaker 1: defeats them. It's beautiful thing, beautiful watching JD crush fake

980
00:49:43,680 --> 00:49:47,360
Speaker 1: news media. You love it. But we'll get into that

981
00:49:47,440 --> 00:49:50,239
Speaker 1: here coming up in a moment. But Clay, this is

982
00:49:50,239 --> 00:49:53,560
Speaker 1: a little bit, a little bit concerning. So this just

983
00:49:53,640 --> 00:49:59,400
Speaker 1: came down today. Nevada Supreme Court upheld the lower court ruling,

984
00:50:00,239 --> 00:50:04,920
Speaker 1: saying that mail in ballots without postmarks received by election

985
00:50:05,120 --> 00:50:09,040
Speaker 1: day would be counted in the days after the election.

986
00:50:10,000 --> 00:50:13,240
Speaker 1: There is then a four day period after the election

987
00:50:13,440 --> 00:50:18,879
Speaker 1: day when clerks can accept the postmark ballots and process them.

988
00:50:18,880 --> 00:50:21,319
Speaker 1: Nevada state law requires all mail in ballots to be

989
00:50:21,360 --> 00:50:26,480
Speaker 1: mailed in postmarked by election day, so if the ballot

990
00:50:26,520 --> 00:50:30,200
Speaker 1: does not have a postmark, county clerks can process ballots

991
00:50:30,280 --> 00:50:33,240
Speaker 1: up to three days after the election. This is from

992
00:50:33,560 --> 00:50:37,080
Speaker 1: I don't know local news in the KLAS in Las

993
00:50:37,200 --> 00:50:42,760
Speaker 1: Vegas Clay. This is a This is an invitation to cheating.

994
00:50:43,200 --> 00:50:45,719
Speaker 1: This is an invitation to what am I missing here?

995
00:50:45,960 --> 00:50:46,399
Speaker 1: Right now?

996
00:50:46,560 --> 00:50:49,640
Speaker 3: It's gonna be It's gonna be a mess. And this

997
00:50:49,719 --> 00:50:51,200
Speaker 3: is why it has to be too big to rig.

998
00:50:52,920 --> 00:50:57,760
Speaker 3: Right now, Republicans have a thirty thousand vote lead roughly

999
00:50:58,320 --> 00:51:02,040
Speaker 3: in early voting in Nevada, which is unheard of, and

1000
00:51:02,120 --> 00:51:06,279
Speaker 3: you and Nevada are turning out in unbelievable numbers. They

1001
00:51:06,320 --> 00:51:10,880
Speaker 3: are going to do everything they can to try and

1002
00:51:11,000 --> 00:51:15,319
Speaker 3: get as many ballots harvested as they possibly can, up

1003
00:51:15,360 --> 00:51:19,160
Speaker 3: to and maybe beyond the rule of law. And if

1004
00:51:19,200 --> 00:51:23,399
Speaker 3: you're wondering why that is, I mean, it's because they

1005
00:51:23,440 --> 00:51:26,960
Speaker 3: recognize that their candidate does not have any enthusiasm and

1006
00:51:27,000 --> 00:51:31,360
Speaker 3: they're bringing these these cases preemptively, right They're trying to

1007
00:51:31,440 --> 00:51:34,200
Speaker 3: go ahead and pave the way for this to occur.

1008
00:51:34,880 --> 00:51:38,960
Speaker 3: And look, we could probably get and maybe we should

1009
00:51:39,520 --> 00:51:43,160
Speaker 3: some of the experts in Nevada elections to come on.

1010
00:51:43,360 --> 00:51:46,480
Speaker 3: I mean, they also allow you to cure arrant ballots

1011
00:51:46,520 --> 00:51:50,759
Speaker 3: buck so if you somehow screw up your ballot, they

1012
00:51:50,800 --> 00:51:53,920
Speaker 3: can go door to door with you to allow you

1013
00:51:54,000 --> 00:51:56,520
Speaker 3: to get your ballot cured. And this is why, like

1014
00:51:56,560 --> 00:51:59,279
Speaker 3: for instance, Laxalt would say, who lost I think by

1015
00:51:59,280 --> 00:52:04,280
Speaker 3: eight thousand vote in Nevada, get out and vote early. Also,

1016
00:52:04,719 --> 00:52:08,000
Speaker 3: you've got to have a huge buffer, right. This is

1017
00:52:08,040 --> 00:52:10,120
Speaker 3: not one of those situations where you can be only

1018
00:52:10,200 --> 00:52:11,440
Speaker 3: up a couple of thousand votes.

1019
00:52:11,760 --> 00:52:15,319
Speaker 1: But it's concerning because you have a situation where on

1020
00:52:15,360 --> 00:52:18,040
Speaker 1: election day and even for a couple of days after,

1021
00:52:18,680 --> 00:52:22,560
Speaker 1: if you got into a really tight situation, one side,

1022
00:52:22,719 --> 00:52:26,960
Speaker 1: the Democrats will know what the deficit is, and then

1023
00:52:27,280 --> 00:52:32,160
Speaker 1: unpostmarked ballots can be counted. You know, it's one thing

1024
00:52:32,239 --> 00:52:34,560
Speaker 1: if you don't know how far behind you are. If

1025
00:52:34,600 --> 00:52:38,760
Speaker 1: you know we're only behind by seven thousand votes in Nevada,

1026
00:52:38,840 --> 00:52:41,799
Speaker 1: it's a lot easier to generate you know, seventy three

1027
00:52:41,880 --> 00:52:44,879
Speaker 1: hundred votes or something that are on postmark that show

1028
00:52:44,960 --> 00:52:47,040
Speaker 1: up if you don't know the margins, it's all being

1029
00:52:47,120 --> 00:52:49,799
Speaker 1: count an election day. Like I said, the bigger the

1030
00:52:49,840 --> 00:52:52,960
Speaker 1: margin of shenanigans, or you know, the bigger the scale

1031
00:52:52,960 --> 00:52:55,759
Speaker 1: of the shenanigans, the harder it is to hide. I

1032
00:52:55,800 --> 00:52:59,800
Speaker 1: just can't imagine why Nevada and Supreme Well, I can't imagine, unfortunately,

1033
00:52:59,880 --> 00:53:02,160
Speaker 1: but it's to me it's just indefensible.

1034
00:53:02,480 --> 00:53:04,920
Speaker 3: This is why every state needs to have the same policy,

1035
00:53:05,000 --> 00:53:09,040
Speaker 3: says Florida on election night. Buck within about two hours

1036
00:53:09,040 --> 00:53:11,839
Speaker 3: of all the Florida polls closing, will know exactly what

1037
00:53:11,920 --> 00:53:12,640
Speaker 3: the tally is.

1038
00:53:12,760 --> 00:53:15,040
Speaker 1: It should be that way for every single state.