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Speaker 1: Welcome in Friday edition Clay Travis buck Sexton Show. Congratulations,

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Speaker 1: you made it to Friday. You're about to be able

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Speaker 1: to roll into the weekend and we are going to

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Speaker 1: have some fun with all of you. Let me give

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Speaker 1: you a little bit of an idea where we're headed.

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Speaker 1: Marty McCarey, who is now the head of the FDA,

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Speaker 1: will be with us at the top of the next hour.

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Speaker 1: He has obviously been doing a ton of things and

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Speaker 1: was right on everything COVID, one of the few doctors

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Speaker 1: who was and I do think that slid a little

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Speaker 1: bit under the radar given all the other appointments, but

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Speaker 1: the Trump team has been zealous when it comes to

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Speaker 1: promoting people who did not favor lockdowns and all of

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Speaker 1: the COVID related insanity that took over our country about

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Speaker 1: five years ago. So doctor Martin McCay, a head of

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Speaker 1: the FDA, will be with us top the next hour.

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Speaker 1: Top of the third hour, that is the final hour

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Speaker 1: of the week, we will talk with Nicole Parker, former

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Speaker 1: FBI agent. She was listening to the show and she

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Speaker 1: was reacting to a lot of the Epstein revelation. She

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Speaker 1: was working in South Florida when really I think buck

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Speaker 1: and we'll talk with this some about her, but she

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Speaker 1: was texting us. The initial investigation that took place with

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Speaker 1: Acosta and led to a sweetheart prosecution deal and resolution

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Speaker 1: of the charges in South Florida, to me, is probably

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Speaker 1: the part of the Epstein story that still deserves to

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Speaker 1: be the most examined. So we will talk with her

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Speaker 1: about that in the third hour. But I wanted to

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Speaker 1: open and we'll talk about the ice ray that happened

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Speaker 1: in California and the discovery of underage children that were

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Speaker 1: being used to work there, and some of the dark,

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Speaker 1: seedy underbelly of the illegal immigrant experience. But I wanted

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Speaker 1: to begin with this because on Sunday will be officially

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Speaker 1: the one year anniversary of the near assassination of Donald

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Speaker 1: Trump and Butler, Pennsylvania. And they came out with news yesterday.

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Speaker 1: I believe that six different Secret Service officers had been

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Speaker 1: disciplined for the failures. I think it's fair to say,

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Speaker 1: basically all systems failure that occurred in Butler, Pennsylvania, almost

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Speaker 1: one year ago. Today it was a Saturday, for those

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Speaker 1: of you who remember, and Monday was the first day

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Speaker 1: of the Republican National Convention. From Milwaukee, and Trump came

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Speaker 1: within a quarter inch of having his head blown off

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Speaker 1: on live television. And we talked with Selena Selena Zito,

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Speaker 1: who's got her book out about Butler Pennsylvania. I've been

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Speaker 1: reading about that. We talked with her earlier this week.

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Speaker 1: And the extent to which that is an historic event,

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Speaker 1: I think it's going to continue to echo and reverberate.

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Speaker 1: But Trump is talking about that with special interviews that

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Speaker 1: he is doing, including with his daughter in law, Laura Trump.

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Speaker 1: And we have a cut from that that we would

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Speaker 1: like to play for all of you because it is

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Speaker 1: only by the grace of God if you think about

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Speaker 1: where we were one year ago today and how different

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Speaker 1: this country would look if that assassination attempt had been successful.

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Speaker 2: Here is Trump talking about that with Laura cut.

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Speaker 3: Well, it was unforgettable and no exactly what was going on.

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Speaker 3: I got whack, There's no question about that, and fortunately

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Speaker 3: got down quickly, and people were screaming, and I got

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Speaker 3: down quickly, fortunately because I think they shod eight bullets

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Speaker 3: and one got me, and one got another one, and

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Speaker 3: one got another one and one killed Corey the firefighter,

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Speaker 3: great guy. And we had a tremendous, massive crown. Tens

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Speaker 3: of thousands of people were there, and the hour sniper,

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Speaker 3: within less than five seconds, was able to get him

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Speaker 3: from a long distance with one shot. If he didn't

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Speaker 3: do that, you would have had an even worse situation.

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Speaker 1: And I do think Buck, sometimes you get lost. All

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Speaker 1: of us do in the day to day, twenty four

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Speaker 1: hour news cycle, and the question is what is this

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Speaker 1: going to still matter in a day? Is this going

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Speaker 1: to still matter in two days? A prediction this day

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Speaker 1: July thirteenth, and what happened on that day in President

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Speaker 1: Trump's response on that day.

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Speaker 2: I think one in the election.

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Speaker 1: People forget that Elon Musk voted against Trump in twenty sixteen,

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Speaker 1: he voted for Hillary Clinton, he voted for Joe Biden

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Speaker 1: in twenty twenty. It wasn't until July thirteenth, twenty twenty four,

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Speaker 1: and I saw one of your tweets about this when

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Speaker 1: Elon Musk got off the bench and suddenly said, for

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Speaker 1: the first time, I'm with Trump and people out there

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Speaker 1: listening to us right now. Some of you voted Trump

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Speaker 1: in sixteen, some of you voted Trump in twenty some

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Speaker 1: of you voted Trump in twenty four almost all of

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Speaker 1: them play almost all of them voted Trump in sixteen,

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Speaker 1: twenty and twenty four. But yes, I'm not eighty nine

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Speaker 1: in the primary in sixteen, like people came on the

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Speaker 1: Trump train talk in general election. Yeah, people came on

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Speaker 1: the Trump train at different times. Elon Musk was one

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Speaker 1: of the last joiners of the Trump train, and Jeff Bezos,

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Speaker 1: Mark Zuckerberg, guys who wo had otherwise been I would

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Speaker 1: say opposed to Trump quite quite honestly, saw that video,

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Speaker 1: and I think it changed something I really do. For

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Speaker 1: American men, I think that way. I know a lot

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Speaker 1: of women too, But for American men, I think that

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Speaker 1: was such a badass moment that it fundamentally altered the

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Speaker 1: trajectory of the nation in a way few events do

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Speaker 1: well think about. If you were to do a historical

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Speaker 1: what if and a list of the biggest historical what ifs,

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Speaker 1: I think it was a long time ago Winston Churchill

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Speaker 1: did a whole what if This would be right off

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Speaker 1: your alley clay. Historically speaking, what if General Lee had

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Speaker 1: won at Gettysburg? Right, what would America and the world

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Speaker 1: have looked like had the South actually won that war?

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Speaker 1: Now that's a very big what if in so far

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Speaker 1: as it would have been a whole battle going in

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Speaker 1: a different trajectory.

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Speaker 2: This is a historical what if.

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Speaker 1: What happened in Butler, Pennsylvania That was truly a matter

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Speaker 1: of you could just say an inch one inch different

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Speaker 1: in that projectile, and we're living in a different America

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Speaker 1: right now, one inch different in that five five, six

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Speaker 1: rounds trajectory, and you would have had I can't, I

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Speaker 1: can't recall has there ever been and sorry, this is

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Speaker 1: just something I haven't thought about.

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Speaker 2: So there might be an obvious answer.

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Speaker 1: A presidential assassination of a sorry, a presidential assassination in

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Speaker 1: this country during the campaign. I know there have been

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Speaker 1: assassinations obviously in McKinley or k.

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Speaker 2: R RFK RFK nineteen sixty eight.

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Speaker 1: But to your point, RFK had not yet become the

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Speaker 1: Democrat nominee.

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Speaker 2: It looked like he was going to be the nominee. Well,

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Speaker 2: so he wasn't actually the nominee necessary Trump?

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Speaker 1: Yeah, right, Trump had the nomination locked up, and again

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Speaker 1: remember he was going to accept it the next week.

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Speaker 1: And uh, well, this is what I mean about, because

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Speaker 1: now you're now you're talking about a historical situation where

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Speaker 1: God forbid. And as we know, Trump is fine and

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Speaker 1: it was all he was. Okay, it was a terrible day,

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Speaker 1: not just for the country politically and psychologically. But you know,

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Speaker 1: Corey contemporarily pardon me on the last name, I'm not

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Speaker 1: able to say it, but the guy who got killed

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Speaker 1: that day, comparatory is that in I think that's right, Yeah, comparatory. Uh,

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Speaker 1: but you know, he lost his life that day to

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Speaker 1: that shooter. And you sit here and you say how

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Speaker 1: different things would have been because you would have had

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Speaker 1: a country that wouldn't have accepted the eventual result based

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Speaker 1: on the fact that our candidate would have been stolen

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Speaker 1: from us by a bullet, you know, and it's even

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Speaker 1: it's that would have been even more of a psychic shock. Then,

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Speaker 1: as you said, RFK, okay, that's in a primary. But

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Speaker 1: was he going to be the candidate or not? Obviously

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Speaker 1: a terrible situation, a political assassination. And Trump isn't just

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Speaker 1: wasn't just the candidate. Trump is a is a political movement,

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Speaker 1: unto himself, was reshaped the Republican Party in the twenty

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Speaker 1: first century, the most consequential president probably of our lifetime.

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Speaker 1: You'd certainly have to go back to Reagan, or maybe

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Speaker 1: you could say Obama's consequential in destroying the country. But

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Speaker 1: that would have been an enormous change in the world

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Speaker 1: and certainly in the America that we live in today.

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Speaker 1: And I remember we're at We're at the RNC. There

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Speaker 1: was a feeling of surrealism with so we're just gonna

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Speaker 1: have this RNC now, and yeah, process the fact that

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Speaker 1: we almost lost our guy, we almost lost our president.

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Speaker 1: I think they are both short and long term implications

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Speaker 1: that are difficult to even comprehend. And I think it's

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Speaker 1: important to go back and think how fortunate we all

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Speaker 1: are with the way that turned out. A couple of

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Speaker 1: things here. One, Trump had not picked jd. Vance, So

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Speaker 1: it's not only just that he would have been killed.

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Speaker 1: They would have the RNC chair said they would have

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Speaker 1: canceled the RNC, so it would no one would have

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Speaker 1: gone to Milwaukee. There would have been a prolonged period

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Speaker 1: of mourning of some sort. There also would have been

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Speaker 1: a lot of glee, sadly on the left that somebody

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Speaker 1: killed terrifically.

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Speaker 2: Yes, yeah, there there.

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Speaker 1: Would have then had to be a new individual selected

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Speaker 1: as the nominee. And remember there would not have been

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Speaker 1: a VP selection at that point in time. And honestly,

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Speaker 1: one reason jd. Vance got picked, I think was because

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Speaker 1: Trump wanted somebody who was stiff in the spine maga

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Speaker 1: in the event that somebody else killed him, which doesn't

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Speaker 1: get talked about very much. Here's the other thing, Buck,

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Speaker 1: we still know nothing about the assassin.

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Speaker 2: I know the shooter.

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Speaker 1: I know nobody would be assassin. Nobody would have ever

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Speaker 1: believed and for the next for the rest of everyone

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Speaker 1: listening's life and for the next two hundred year, much

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Speaker 1: like with JFK's assassination, people would have said, this wasn't

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Speaker 1: a lone gunman. There's no way this ended up happening.

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Speaker 1: The fix was in. The government killed Trump. Here's the

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Speaker 1: other question. Does Biden still run? Do they elevate Kamala?

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Speaker 1: If the Republicans are scrambling to try to find a

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Speaker 1: new candidate, who is that candidate? I think it would

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Speaker 1: have been Ron DeSantis. That's my analysis of the Tea leaves.

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Speaker 1: But it would have been a huge mess, the likes

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Speaker 1: of which the country would never have recovered from. To

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Speaker 1: say nothing, Buck, think about this. What about the president

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Speaker 1: getting his head blown off on live television and the

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Speaker 1: psychic trauma that that creates for hundreds of millions of

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Speaker 1: people seeing that happen. You couldn't have had a fair

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Speaker 1: election afterwards. Correct, There's no such thing as a fair

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Speaker 1: election when you have somebody like Trump, who is a

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Speaker 1: former president, who is the leader of his party, and

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Speaker 1: as I said, is a one man political movement who

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Speaker 1: has reshaped the landscape politically of this country already against

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Speaker 1: some other candidate. Like, there's no there's no way that

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Speaker 1: you would be able to convince Trump voters in the

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Speaker 1: event that that terrible thing had happened, in the event

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Speaker 1: that it had been an assassination, that this election is legit.

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Speaker 2: And then what does that do to the country?

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Speaker 4: Right?

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Speaker 2: How do you go forward when there's a very.

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Speaker 1: Real sense that a fair election was completely stolen from

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Speaker 1: the country but through violence, mind you, through through yeah,

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Speaker 1: the worst kind of of violence politically. So you know,

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Speaker 1: this is one thing, and I want to give I

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Speaker 1: think it was Fisher King, who is a Twitter account?

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Speaker 1: Do you follow Fisher King? I don't even know this

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Speaker 1: guy is. He's very He's got a very interesting account

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Speaker 1: on x very. You know a lot of you know,

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Speaker 1: I'm not endorsing everything he's written ever to saying the

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Speaker 1: guy writes some good, some smart stuff. And while people

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Speaker 1: have been very upset recently, and I am understand and

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Speaker 1: I don't want to get into it right now, and

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Speaker 1: I do agree that there are a lot of problems

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Speaker 1: and unanswered questions, and there's whiplash and all this people

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Speaker 1: have been so upset about. Epstein Kamala could have won

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Speaker 1: that election, everybody, and then we'd be in a country.

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Speaker 1: And he pointed this out on X which is what's

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Speaker 1: making me think of this. We're just talking about in

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Speaker 1: the context of what if that assassination attempt had been successful,

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Speaker 1: but just even think about how different the country would

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Speaker 1: be if just the election result had gone in a

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Speaker 1: different direction. We're now sitting here and rightly so, pushing

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Speaker 1: Trump for the best possible decisions and the most transparency

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Speaker 1: and all.

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Speaker 2: Of that we can get.

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Speaker 1: We could have been in a situation where all the

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Speaker 1: stuff that we've already seen in six months was going

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Speaker 1: in the other direction, where the border was still wide open, where.

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Speaker 2: I mean, just go down the list.

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Speaker 1: Well, I mean that's why I woke up this morning.

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Speaker 1: I saw that interview, and I just was thinking how

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Speaker 1: profoundly grateful all of us should be. And I hope

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Speaker 1: you take a moment to just think about it. What

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Speaker 1: would have happened if that bullet had been one quarter

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Speaker 1: inch closer to Trump and had killed him on that day.

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Speaker 1: We're in an incredible place right now, I think. Is

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Speaker 1: a country doesn't mean everything's perfect, doesn't mean you're gonna

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Speaker 1: agree with everything that's being done. There's always room for

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Speaker 1: improvement all of that. But I think a lot of

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Speaker 1: times in the day to day we don't pause and think, hey,

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Speaker 1: let's just look back a year. Man, what an incredible

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Speaker 1: year that has been, and how grateful for those of

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Speaker 1: us who are out there listening. We all should be

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Speaker 1: compared to where we could be. I'll just say catastrophism

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Speaker 1: and negativity. It's always the easy way. It's always the

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Speaker 1: easy way to get attention, always the easy way to

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Speaker 1: bring people into your sphere of influence. Everything is falling

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Speaker 1: apart all everything is terrible. We have challenges, there's some

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Speaker 1: stuff that needs to be fixed. We're focused on that.

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Speaker 1: We you know, we want accountability, we want more wins.

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Speaker 1: We are not tired of winning. But the mood of

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Speaker 1: the country overall, right, now. And this is where I think, Clay,

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Speaker 1: we bring it all full circle. The mood of the

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Speaker 1: country one year from where we were possibly on that

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Speaker 1: day in Butler should be one of tremendous thanks to

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Speaker 1: God and tremendous blessings for America that we are receiving.

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Speaker 1: And I know it's imperfect and it always will be.

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Speaker 1: And I understand there's a particular amount of frustration right now,

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Speaker 1: but could have been a lot worse, everybody, And you

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Speaker 1: know that's not you know, that's not somewhat about ism.

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Speaker 2: It almost was.

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Speaker 1: It was one inch away from being a very different

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Speaker 1: country in a much much darker place than we ever

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Speaker 1: could have imagined. So we are allowed to feel blessed.

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Speaker 1: And I thought this fourth of July, I think there

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Speaker 1: was there were a lot of people who truly were

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Speaker 1: celebrating on Independence Day weekend because the country's in a

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Speaker 1: good spot right now.

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Speaker 2: Overall.

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Speaker 1: It is I know people can yell at me, it

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Speaker 1: actually is in a good place right now relative to

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Speaker 1: what could have been and relative to what the options

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Speaker 1: were were. We're seeing some really positive developments happen, and

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Speaker 1: you should take stock of that as well. Otherwise you

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Speaker 1: just exhaust yourself with the with the constant sense that

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Speaker 1: nothing changes, it's all. It's all unit party, it all

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Speaker 1: falls apart, everything is screwed. No, that's never that's never

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Speaker 1: the way forward. So you know, if there's too much

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Speaker 1: optimism on this show, well that's the way it's going

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Speaker 1: to be. Sometimes when it comes to cell phone service,

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Speaker 1: how does pure Talk do it Well? Puretalk uses the

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Speaker 5: Making America great Again isn't just one map, It's many.

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Speaker 5: The team forty seven podcasts Sunday's at noon Eastern in

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Speaker 5: the Clay.

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Speaker 2: And Buck podcast feed.

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Speaker 5: Find it on the iHeartRadio app or wherever you get

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Speaker 5: your podcasts.

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Speaker 1: We are joined by doctor Marty McCarey. He is the

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Speaker 1: Commissioner of the Food and Drug Administration. Doctor McCarey, we

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Speaker 1: appreciate you, sir. We remember your truth teller in the

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Speaker 1: dark days of COVID madness, and now you are at

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Speaker 1: the FDA and part of the MAHA approach to America

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Speaker 1: make America healthy again. I saw your op ed in

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Speaker 1: the Washington Post on getting drugs approved much more quickly

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Speaker 1: and efficiently. That should be that would be helpful. But

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Speaker 1: let's just start with this is what is the top

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Speaker 1: of your agenda for MAHA. How are we going to

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Speaker 1: make America healthy again? Now that that is your portfolio.

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Speaker 6: Well, good to be with you guys. You know, we

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Speaker 6: are changing the entire approach to healthcare in the United

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Speaker 6: States under Secretary Kennedy. It's not just chemotherapy and insulin

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Speaker 6: and ozepic. We're now having research on root causes. At

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Speaker 6: the NIH, we're investing in the food side of the FDA.

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Speaker 6: People forget that the fn FDA stands for food, not federal,

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Speaker 6: and so we are focused on healthy food for kids.

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Speaker 6: We've got tremendous traction with the petroleum based food died ban.

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Speaker 6: We're going a step further looking at all the chemicals

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Speaker 6: and the food supply that are banned in other countries.

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Speaker 6: We are focused on the drug side and device side,

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Speaker 6: more cures for the American people. We'd love to see

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Speaker 6: a cure for certain kinds of cancer, stage four cancer,

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Speaker 6: drugs that melts away cancer. We want to see a

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Speaker 6: cure for type one diabetes, for Alzheimer's, we want to

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Speaker 6: see meaningful treatments for als. And we want to see

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Speaker 6: a universal flu shot so we don't have to play

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Speaker 6: a guessing game each year. And one of my personal

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Speaker 6: missions is to make sure that our veterans have a

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Speaker 6: rapid decision on treatments for PTSD.

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Speaker 1: I really appreciate you coming on with us and the

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Speaker 1: fact doctor McCarey, and I always want to go back

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Speaker 1: and re emphasize this that you were one of the

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Speaker 1: truth tellers during COVID and I'm curious now, as we

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Speaker 1: are working through the Maha movement. You have RFK Junior,

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Speaker 1: and you have you and doctor Bodicharia, and I'm sure

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Speaker 1: there's many many more people that we don't even know

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Speaker 1: the names of. Do you feel in many ways like

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Speaker 1: all of the sleans and arrows that you took and

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Speaker 1: that many of your colleagues took have been vindicated in

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Speaker 1: what you said, and feel as if, hey, this is

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Speaker 1: an opportunity to rectify a lot of the scientific wrongs

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Speaker 1: on a big picture that came from somebody like doctor

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Speaker 1: Fauci lecturing everyone and saying, I am the science. Don't

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Speaker 1: challenge science. It has to feel in some way vindicating

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Speaker 1: to be in the position that you are in now.

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Speaker 6: Well, I think this is a time for us to

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Speaker 6: demonstrate humility, the same humility we called for. When you

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Speaker 6: don't know something as a doctor, you just need to

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Speaker 6: say we don't know or we think this might be

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Speaker 6: the case. The absolutism that we saw during COVID, which

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Speaker 6: was not based on science, but it was under the

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Speaker 6: guise of listening to the experts and don't question us,

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Speaker 6: it did a lot of damage. I mean, ignoring natural immunity,

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Speaker 6: putting masks on toddlers for three years, insisting schools stay

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Speaker 6: shut for a year and a half. Somehow this became

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Speaker 6: partisan and it's really an ugly chapter. So we are

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Speaker 6: trying to demonstrate transparency and humility throughout our health agencies

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Speaker 6: and as role models, and I think you know, we're

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Speaker 6: making a lot of progress in that way. We for example,

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Speaker 6: put out a strong warning on myocarditis with the COVID vaccines.

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Speaker 6: We're not approving COVID vaccines for healthy children without a

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Speaker 6: clinical trial first. We're getting back to gold standard science

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Speaker 6: and we're using common sense.

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Speaker 2: Doctor mcarey.

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Speaker 1: What are some of the ways that we can see

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Speaker 1: improvements in the drug I mean, this is what you

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Speaker 1: wrote about in the Washington Post editorial, right getting faster

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Speaker 1: approval because one thing I know right now from the

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Speaker 1: look people think Pharma and a lot and and a

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Speaker 1: lot of people in the right in particular get you

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Speaker 1: know there they they bristle a little bit, But Farma

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Speaker 1: does make things like statins which save a lot of lives.

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Speaker 1: Pharma has incredible drugs that are helping with and create

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Speaker 1: with with rare types of cancer. We want, we want

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Speaker 1: there to be breakthroughs. We want there to be cures.

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Speaker 1: What are ways we can get to those cures faster?

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Speaker 1: And is artificial intelligence something that you see helping just

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Speaker 1: go through all the data and get to cures faster

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Speaker 1: for the diseases that we want to see left in

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Speaker 1: the past.

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Speaker 6: Absolutely. And look as a doctor at Johns Hopkins for

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Speaker 6: most of my career, I saw how drugs would cure

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Speaker 6: people and people got terrible diagnoses and they would ask,

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Speaker 6: is there anything promising out there? I think we have

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Speaker 6: to ask a big question that really hasn't been asked before,

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Speaker 6: and that is why does it take over ten years

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Speaker 6: for a new drug to come to market? We have

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Speaker 6: got to cut the red tape and these unnecessary delays,

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Speaker 6: all of the bureaucratic processes, and just get back to

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Speaker 6: our job of making a prompt decision on safety and efficacy.

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Speaker 6: And you know, if there's a drug where there's no

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Speaker 6: hope or there's a small population of affected, I believe

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Speaker 6: in both the spirit and the letter of right to

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Speaker 6: try that the President has put out there.

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Speaker 1: How much of what you deal with is fixable from

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Speaker 1: a cultural perspective, And let me build on that a

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Speaker 1: little bit. Make the question a little bit maybe more understandable.

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Speaker 1: One of the things we worry about. I think if

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Speaker 1: you're out there and you're a parent, like I am

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Speaker 1: and like Buck is is so much guidance is constantly shifting.

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Speaker 1: And if Trump is in office right now, we're very

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Speaker 1: thankful that you're the FDA commissioner. But let's say that

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Speaker 1: Kamala Harris, god forbid, had won, or that she wins

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Speaker 1: in twenty twenty nine, and we get a brand new

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Speaker 1: team of leadership at many of these agencies. If the

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Speaker 1: culture underneath is rotten, then it becomes very difficult to fix.

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Speaker 1: Can you fix the culture of the FDA? How would

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Speaker 1: you assess based on your time there so far the

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Speaker 1: culture actually is.

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Speaker 6: I think it is a culture that can be influenced.

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Speaker 6: You know. I spend essentially every day on campus at

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Speaker 6: the FDA. It's a beautiful campus. I meet with the

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Speaker 6: reviewers and the scientists and the inspectors and the folks

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Speaker 6: that are working on childhood team vaping reduction, and all

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Speaker 6: of the people. You know, the FDA regulates twenty percent

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Speaker 6: of the US economy. I'm on the ground, and I

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Speaker 6: think when you're insulated as a leader, you can become

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Speaker 6: a villain. But when you're on the ground and people

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Speaker 6: see that, Hey, I'm a cancer surgeon from Johns Hopkins,

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Speaker 6: and I've got scientific credentials. I've published over three hundred

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Speaker 6: scientific peer review studies. All of a sudden, now you're

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Speaker 6: a scientific colleague and you're not some you know, caricature.

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Speaker 6: And so I've been on the ground. The culture at

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Speaker 6: the FDA is strong and getting stronger. The trains are

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Speaker 6: running on time, and so the FDA is going to

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Speaker 6: continue to be strong.

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Speaker 1: What are some of the air areas where you're hoping

437
00:24:01,280 --> 00:24:05,120
Speaker 1: we could see major breakthroughs. I mean broadly speaking, right,

438
00:24:05,200 --> 00:24:08,159
Speaker 1: not not asking about any particular thing that's you know,

439
00:24:08,200 --> 00:24:11,240
Speaker 1: in trials or but you know, people are hearing about

440
00:24:11,600 --> 00:24:16,000
Speaker 1: Chrisper technology. Obviously I brought up AI, and I do

441
00:24:16,119 --> 00:24:19,680
Speaker 1: know there's some people, doctor McCarey, in the biotechnology space

442
00:24:20,119 --> 00:24:23,040
Speaker 1: who think that we could be on the precipice of

443
00:24:23,400 --> 00:24:26,879
Speaker 1: a Goalden age of discoveries that will just help you know,

444
00:24:26,920 --> 00:24:30,159
Speaker 1: you said that you're changing the approach to healthcare overall. Right,

445
00:24:30,200 --> 00:24:33,399
Speaker 1: that's part of the mission. Where are some of the

446
00:24:34,119 --> 00:24:36,520
Speaker 1: likely discoveries in the near future, I mean over the

447
00:24:36,520 --> 00:24:39,200
Speaker 1: next four years, do you think that we could see

448
00:24:39,200 --> 00:24:43,000
Speaker 1: some pretty amazing things happen that either extend lives, save lives,

449
00:24:43,119 --> 00:24:47,280
Speaker 1: improve lives thanks to technology and research that's going on

450
00:24:47,400 --> 00:24:47,840
Speaker 1: right now.

451
00:24:49,040 --> 00:24:49,440
Speaker 7: I do.

452
00:24:49,760 --> 00:24:52,240
Speaker 6: I do, and let me tell you why, Clay, because

453
00:24:52,520 --> 00:24:54,879
Speaker 6: we're going to try to do everything possible during my

454
00:24:55,000 --> 00:24:59,560
Speaker 6: time at the FDA to cut the unnecessary delays, the

455
00:24:59,600 --> 00:25:03,800
Speaker 6: waiting around, the idle time, the time that drug developers

456
00:25:03,800 --> 00:25:07,520
Speaker 6: and inventors say where they're just doing guest work because

457
00:25:07,760 --> 00:25:10,560
Speaker 6: they can't talk to anyone at the FDA to find

458
00:25:10,600 --> 00:25:14,320
Speaker 6: out what they want in the application. We just announced

459
00:25:14,400 --> 00:25:17,960
Speaker 6: yesterday that all of our decision letters are going to

460
00:25:17,960 --> 00:25:21,240
Speaker 6: be public information, so companies are not going to have

461
00:25:21,280 --> 00:25:24,320
Speaker 6: to do guestwork to figure out how the FDA thinks

462
00:25:24,440 --> 00:25:28,680
Speaker 6: or what they want in an application. We're increasing communications

463
00:25:28,760 --> 00:25:31,360
Speaker 6: so a company can call us and ask a question

464
00:25:31,440 --> 00:25:34,360
Speaker 6: instead of doing guest work for a year. And we

465
00:25:34,440 --> 00:25:37,960
Speaker 6: have now a powerful AI tool that we just launched

466
00:25:38,240 --> 00:25:42,280
Speaker 6: across the FDA all of the centers where reviewers have

467
00:25:42,520 --> 00:25:49,560
Speaker 6: incredible computational power now to organize applications and to summarize

468
00:25:49,920 --> 00:25:53,960
Speaker 6: these giant, gnarly one hundred thousand page applications. We're getting

469
00:25:54,000 --> 00:25:56,520
Speaker 6: away from paper. We're doing a lot to cut the waste.

470
00:25:57,359 --> 00:26:00,840
Speaker 1: What should people know, doctor McCay, and he's the head

471
00:26:00,840 --> 00:26:03,440
Speaker 1: of the FDA, came on the show for years before

472
00:26:03,480 --> 00:26:05,439
Speaker 1: he was the head of the FDA. What is the

473
00:26:05,480 --> 00:26:09,440
Speaker 1: absolute latest on the COVID shot. I know there's been

474
00:26:09,920 --> 00:26:12,199
Speaker 1: I think you came on right after the decision was

475
00:26:12,240 --> 00:26:18,040
Speaker 1: made not to recommend it necessarily for young people that

476
00:26:18,200 --> 00:26:21,840
Speaker 1: is very young. Where are we now? I don't even

477
00:26:21,880 --> 00:26:24,400
Speaker 1: know what booster people are on. But for people out

478
00:26:24,400 --> 00:26:27,199
Speaker 1: there who have kids, I know there's a lot of

479
00:26:27,240 --> 00:26:29,679
Speaker 1: concern about the number of shots that they're getting, a

480
00:26:29,720 --> 00:26:32,199
Speaker 1: lot of examination of what is necessary what is not.

481
00:26:32,400 --> 00:26:34,600
Speaker 2: What would you say parents should know about that?

482
00:26:35,840 --> 00:26:39,399
Speaker 6: Well, eighty five percent of healthcare workers said no to

483
00:26:39,440 --> 00:26:41,880
Speaker 6: the last COVID booster last fall. And I should tell

484
00:26:41,920 --> 00:26:45,200
Speaker 6: you something. You know, maybe there's a high risk group

485
00:26:45,240 --> 00:26:49,680
Speaker 6: where it makes sense. We're gonna tell folks to talk

486
00:26:49,720 --> 00:26:52,439
Speaker 6: to their doctor. The government is not your doctor. But

487
00:26:52,560 --> 00:26:55,760
Speaker 6: are we going to just blindly rubber stamp COVID boosters

488
00:26:56,080 --> 00:27:00,600
Speaker 6: for young, healthy teenagers every year in perpetuity that a

489
00:27:00,760 --> 00:27:04,640
Speaker 6: ten year old girl today is going to get sixty

490
00:27:04,760 --> 00:27:07,359
Speaker 6: more COVID shots once every year for the rest of

491
00:27:07,359 --> 00:27:10,280
Speaker 6: our lifetime. No, we're not going to do that without

492
00:27:10,359 --> 00:27:14,120
Speaker 6: some clinical trials supporting that theory. So we're getting back

493
00:27:14,119 --> 00:27:17,119
Speaker 6: to gold standard science and I think people appreciate it.

494
00:27:17,160 --> 00:27:20,600
Speaker 6: We've outlined our whole framework for COVID vaccines in the

495
00:27:20,640 --> 00:27:23,760
Speaker 6: New England Journal of Medicine, and we're being very transparent

496
00:27:23,800 --> 00:27:26,600
Speaker 6: about it. It's not we're not doing deals with companies.

497
00:27:26,960 --> 00:27:29,760
Speaker 6: We're being very public and transparent about everything. And I

498
00:27:29,800 --> 00:27:32,560
Speaker 6: think if we can do this everything well, if we

499
00:27:32,640 --> 00:27:36,560
Speaker 6: can cut the red tape, be transparent, show humility, we

500
00:27:36,640 --> 00:27:41,680
Speaker 6: can see cures for type one diabetes and neurodegenerative disorders,

501
00:27:41,720 --> 00:27:45,040
Speaker 6: and we can get to a universal flu shot, for example,

502
00:27:45,080 --> 00:27:49,080
Speaker 6: which is something in the works in early development, so

503
00:27:49,119 --> 00:27:51,080
Speaker 6: we don't have to guess every year what the strain

504
00:27:51,200 --> 00:27:51,639
Speaker 6: is going to be.

505
00:27:52,840 --> 00:27:56,199
Speaker 1: Dodger McCarey, we appreciate the time and we appreciate all

506
00:27:56,240 --> 00:27:59,240
Speaker 1: the work that you're doing. Have a fantastic weekend and

507
00:27:59,560 --> 00:28:01,760
Speaker 1: we'll have you on again soon. Don't hesitate to reach

508
00:28:01,800 --> 00:28:03,920
Speaker 1: out anytime. We can help get the message out that

509
00:28:04,440 --> 00:28:05,280
Speaker 1: you think is important.

510
00:28:06,240 --> 00:28:08,080
Speaker 6: Great, good to be with you. Guys, thanks so much.

511
00:28:08,880 --> 00:28:11,199
Speaker 1: For sure, he's fantastic. I'm excited that he's in the

512
00:28:11,240 --> 00:28:13,440
Speaker 1: position that he is in. We come back, we'll take

513
00:28:13,480 --> 00:28:16,800
Speaker 1: some of your calls. More reaction pouring in after the

514
00:28:16,800 --> 00:28:20,880
Speaker 1: Axios story relating to the Epstein case. We'll dive into

515
00:28:20,960 --> 00:28:22,520
Speaker 1: that and more. But I want to tell you choosing

516
00:28:22,560 --> 00:28:24,959
Speaker 1: We're just talking with the head of the FDA. Choosing

517
00:28:24,960 --> 00:28:27,359
Speaker 1: the healthcare coverage and which plan is right for you

518
00:28:27,440 --> 00:28:30,480
Speaker 1: and your family one of the most challenging decisions out there,

519
00:28:30,560 --> 00:28:33,520
Speaker 1: especially if you're self employed, on something as important as

520
00:28:33,520 --> 00:28:35,720
Speaker 1: your healthcare insurance. You want to feel good about the

521
00:28:35,720 --> 00:28:38,880
Speaker 1: decision you make. Why settle for a government plan like

522
00:28:38,920 --> 00:28:42,360
Speaker 1: the Affordable Care Act when there's better options out there.

523
00:28:42,720 --> 00:28:46,320
Speaker 1: That's called Ease for Everyone. It offers affordable healthcare for

524
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Speaker 1: as low as two hundred and sixty two bucks a month.

525
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Speaker 1: You keep your doctor, never pay a deductible, access over

526
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Speaker 1: four hundred prescription drugs for free. Go online to their

527
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Speaker 1: website see which plan is right for you and your family.

528
00:28:59,000 --> 00:29:03,160
Speaker 1: Ease for Everyone was developed by knowledge and forward thinking

529
00:29:03,200 --> 00:29:07,520
Speaker 1: people out there in my hometown of Nashville. Visit easefor

530
00:29:07,640 --> 00:29:11,560
Speaker 1: Everyone dot com, slash Clay to join today. That's easefo

531
00:29:11,680 --> 00:29:14,000
Speaker 1: everyone dot com slash.

532
00:29:14,200 --> 00:29:20,360
Speaker 8: Clay Stories are freedom stories of America, inspirational stories that

533
00:29:20,400 --> 00:29:23,680
Speaker 8: you unite us all each day. Spend time with Clay

534
00:29:23,760 --> 00:29:27,800
Speaker 8: and find them on the free iHeartRadio app or wherever

535
00:29:27,880 --> 00:29:29,200
Speaker 8: you get your podcasts.

536
00:29:29,360 --> 00:29:30,680
Speaker 2: Okay, Welcome back in Clay.

537
00:29:30,760 --> 00:29:35,200
Speaker 1: Travis buck Sexton show Breaking News from Axios. And I'm

538
00:29:35,200 --> 00:29:37,200
Speaker 1: gonna lay this out Buck and I will tell you

539
00:29:37,280 --> 00:29:42,200
Speaker 1: what we think and analyze this. And I'm going to

540
00:29:42,280 --> 00:29:45,920
Speaker 1: read from some of this report. And this has to

541
00:29:45,960 --> 00:29:49,520
Speaker 1: do with the fallout of the Epstein investigation. And the

542
00:29:49,560 --> 00:29:55,960
Speaker 1: headline is FBI's Dan Bongino clashes with ag Bondi overhandling

543
00:29:56,120 --> 00:30:00,000
Speaker 1: of Epstein files. And I'm gonna read the opening paragraph.

544
00:30:00,240 --> 00:30:03,960
Speaker 1: FBI Director Deputy Director Dan Bongino took a day off

545
00:30:03,960 --> 00:30:07,680
Speaker 1: from work Friday after clashing at the White House with

546
00:30:07,760 --> 00:30:12,120
Speaker 1: Attorney General Pambondi over the handling of the Epstein files.

547
00:30:12,560 --> 00:30:18,240
Speaker 1: Four sources familiar with the conflict told Axios Bongino didn't

548
00:30:18,280 --> 00:30:21,080
Speaker 1: come back to work Friday, leading some insiders to believe

549
00:30:21,120 --> 00:30:24,480
Speaker 1: he'd quit, but administration officials say he's still on the job,

550
00:30:24,640 --> 00:30:28,080
Speaker 1: even as the internal tension over the Epstein case continues.

551
00:30:28,480 --> 00:30:33,040
Speaker 1: At the center of the argument basically is how has

552
00:30:33,160 --> 00:30:37,640
Speaker 1: the communication of the Epstein investigation and this is now

553
00:30:37,680 --> 00:30:41,280
Speaker 1: me talking, not the Axio story, how has the communication

554
00:30:41,520 --> 00:30:48,440
Speaker 1: surrounding the Epstein case investigation been handled internally, both from

555
00:30:48,520 --> 00:30:52,000
Speaker 1: the Attorney General Pambondi in her office and from the FBI.

556
00:30:52,480 --> 00:30:55,320
Speaker 1: And Buck, you tell me if you would agree. And again,

557
00:30:55,360 --> 00:30:57,640
Speaker 1: I'm trying to lay out the parameters and then we'll

558
00:30:57,640 --> 00:31:00,760
Speaker 1: get into the analysis the FBI.

559
00:31:01,640 --> 00:31:02,680
Speaker 2: I'm speaking generally.

560
00:31:03,200 --> 00:31:08,120
Speaker 1: The FBI office feels that Attorney General Pam Bondi has

561
00:31:08,160 --> 00:31:11,600
Speaker 1: been incredibly sloppy in the public commentary that she has

562
00:31:11,640 --> 00:31:16,280
Speaker 1: made about the investigation surrounding Jeffrey Epstein. They feel that

563
00:31:16,320 --> 00:31:20,320
Speaker 1: she has over promised and under delivered in terms of

564
00:31:20,360 --> 00:31:25,520
Speaker 1: what the actual evidence that the FBI has shows. Meanwhile,

565
00:31:25,920 --> 00:31:29,000
Speaker 1: now it appears to me Attorney General Pam Bondi is

566
00:31:29,040 --> 00:31:32,960
Speaker 1: pushing back. She is blaming the FBI and Bongino for

567
00:31:33,080 --> 00:31:38,760
Speaker 1: the release of the video inside of the gel where

568
00:31:38,920 --> 00:31:42,120
Speaker 1: the suicide of Jeffrey Epstein occurred. There was a one

569
00:31:42,200 --> 00:31:44,360
Speaker 1: minute lapse in the video based on the way it

570
00:31:44,400 --> 00:31:48,880
Speaker 1: was recorded, and she is blaming or the Attorney General's office.

571
00:31:48,960 --> 00:31:49,960
Speaker 2: Again we're talking.

572
00:31:49,720 --> 00:31:53,400
Speaker 1: Broadly, is blaming the FBI for the way that that

573
00:31:53,440 --> 00:31:57,040
Speaker 1: came out, and they're saying, actually, it's your miscommunication which

574
00:31:57,040 --> 00:32:01,880
Speaker 1: has created this larger issue. So basically you have two

575
00:32:01,920 --> 00:32:06,760
Speaker 1: different groups arguing about who's to blame for the fallout

576
00:32:06,920 --> 00:32:12,160
Speaker 1: surrounding the Epstein investigation communication so far as it's been publicly,

577
00:32:12,520 --> 00:32:14,480
Speaker 1: Is that a good Is that a good analysis?

578
00:32:14,560 --> 00:32:15,480
Speaker 2: From your perspective?

579
00:32:15,480 --> 00:32:17,800
Speaker 1: You sign on, I think so, and I know that

580
00:32:17,880 --> 00:32:20,000
Speaker 1: this is this is a far more serious issue, but

581
00:32:20,280 --> 00:32:23,640
Speaker 1: it does in terms of the personnel on the spot,

582
00:32:24,320 --> 00:32:26,600
Speaker 1: on the hot seat situation, it does remind me a

583
00:32:26,640 --> 00:32:29,800
Speaker 1: little bit of Trump in the boardroom of The Apprentice,

584
00:32:29,800 --> 00:32:32,000
Speaker 1: where people are saying, you know, he did this or

585
00:32:32,040 --> 00:32:33,640
Speaker 1: she did that, and you know, I.

586
00:32:35,160 --> 00:32:35,840
Speaker 2: You know what I'm saying.

587
00:32:35,880 --> 00:32:38,600
Speaker 1: This is the this is the moment where I think

588
00:32:39,240 --> 00:32:44,000
Speaker 1: accountability may be coming to a very high level Trump appointee,

589
00:32:44,440 --> 00:32:46,520
Speaker 1: and so people are going to lay it out there.

590
00:32:46,560 --> 00:32:50,040
Speaker 1: And some of that may be a little bit I

591
00:32:50,080 --> 00:32:52,440
Speaker 1: wouldn't go so far as to say dishonest, but people

592
00:32:52,480 --> 00:32:56,040
Speaker 1: are going to certainly give their version of things if

593
00:32:56,040 --> 00:32:58,040
Speaker 1: they want to stay in the role. So this is

594
00:32:58,120 --> 00:32:59,720
Speaker 1: this is turning into a little bit of a bureaucratic

595
00:32:59,800 --> 00:33:03,040
Speaker 1: knighte fight. That's really what's happening here. Uh, And it's

596
00:33:03,120 --> 00:33:08,400
Speaker 1: it's understandable. I think that tempers are are pretty high

597
00:33:08,400 --> 00:33:11,720
Speaker 1: on this one, considering the amount of public attention on

598
00:33:11,760 --> 00:33:14,920
Speaker 1: this issue. And look, people have been I was laughing.

599
00:33:14,960 --> 00:33:16,880
Speaker 1: I was talking to from this but I'm not laughing,

600
00:33:16,920 --> 00:33:18,360
Speaker 1: but I mean it's having a kind of a chuckle

601
00:33:18,400 --> 00:33:20,720
Speaker 1: about it. People have been a little bit mad at me,

602
00:33:20,760 --> 00:33:22,720
Speaker 1: a little bit mad at you this week, some of them,

603
00:33:23,040 --> 00:33:23,640
Speaker 1: to which I just.

604
00:33:23,680 --> 00:33:26,680
Speaker 2: Keep saying, what am I? What do you want me

605
00:33:26,760 --> 00:33:29,160
Speaker 2: to do? I'm not I'm not in charge.

606
00:33:29,200 --> 00:33:31,800
Speaker 1: Like Trump talked to me about running the CIA, he

607
00:33:31,880 --> 00:33:34,080
Speaker 1: didn't ask me to run at this time. Maybe that

608
00:33:34,200 --> 00:33:37,360
Speaker 1: was a mistake, buddy, Like I'm not in charge. I

609
00:33:37,400 --> 00:33:40,120
Speaker 1: don't accept that we've gotten all the answers about Epstein.

610
00:33:40,440 --> 00:33:43,120
Speaker 1: I saw this Dirshowitz clip that's floating around where he's

611
00:33:43,120 --> 00:33:46,960
Speaker 1: saying that he's bound by confidentiality, that he knows there's

612
00:33:47,000 --> 00:33:50,640
Speaker 1: more stuff. I don't think Professor dirsh is lying, Okay,

613
00:33:50,720 --> 00:33:53,760
Speaker 1: I think he's I think he's a guy who knows

614
00:33:53,760 --> 00:33:54,640
Speaker 1: what he's talking about.

615
00:33:54,640 --> 00:33:57,280
Speaker 2: And is so you know, I sit here and I

616
00:33:57,360 --> 00:33:59,320
Speaker 2: just want to what what am I?

617
00:33:59,720 --> 00:34:02,240
Speaker 1: Yeah, I think that there's problems with how this was handled,

618
00:34:02,280 --> 00:34:04,800
Speaker 1: and yeah, I think there's more that we could know

619
00:34:04,880 --> 00:34:07,840
Speaker 1: that we should know. I don't have the files, like

620
00:34:08,040 --> 00:34:09,360
Speaker 1: I can't you know neither do you?

621
00:34:09,600 --> 00:34:09,719
Speaker 2: Right?

622
00:34:09,760 --> 00:34:11,759
Speaker 1: So getting mad at us? I don't know why people

623
00:34:11,800 --> 00:34:13,479
Speaker 1: are getting mad at us. I don't worry.

624
00:34:13,520 --> 00:34:15,400
Speaker 2: What do you want me to do? Reading? So here's

625
00:34:15,440 --> 00:34:17,000
Speaker 2: me reading the tea leaves. Okay.

626
00:34:18,239 --> 00:34:22,520
Speaker 1: I think that Trump might, I stress, might have a

627
00:34:22,600 --> 00:34:27,279
Speaker 1: situation where he has to decide who am I going

628
00:34:27,360 --> 00:34:30,759
Speaker 1: to go with my FBI or my attorney general and

629
00:34:30,920 --> 00:34:34,359
Speaker 1: there may be a they leave or we leave kind

630
00:34:34,400 --> 00:34:38,400
Speaker 1: of my way or the highway dispute that has accelerated

631
00:34:38,760 --> 00:34:42,640
Speaker 1: because people are really angry about them taking the blame

632
00:34:42,800 --> 00:34:45,000
Speaker 1: for something that they feel like they didn't. Well up,

633
00:34:45,200 --> 00:34:48,040
Speaker 1: Let's just say this, Dan, Who we know? Dan Bongino.

634
00:34:48,239 --> 00:34:51,239
Speaker 1: I've known Dan. I'm trying to even remember. He's one

635
00:34:51,239 --> 00:34:52,640
Speaker 1: of these guys I've known so long that I can't

636
00:34:52,680 --> 00:34:54,520
Speaker 1: remember the first time I met him, but it was.

637
00:34:54,520 --> 00:34:58,080
Speaker 2: Yeh, at least over a decade ago.

638
00:34:58,120 --> 00:35:00,279
Speaker 1: I mean, I've known Dan certainly since twenty third teen

639
00:35:00,400 --> 00:35:04,040
Speaker 1: or something like that probably, and when he first when

640
00:35:04,040 --> 00:35:05,960
Speaker 1: he first filled in for Hannity on radio, and I

641
00:35:05,960 --> 00:35:07,759
Speaker 1: mean I was filling in for Rush around that time,

642
00:35:07,800 --> 00:35:10,759
Speaker 1: So that's how we knew each other. He has been

643
00:35:11,200 --> 00:35:13,640
Speaker 1: calling for accountability on this issue and has put a

644
00:35:13,680 --> 00:35:16,120
Speaker 1: lot out there and a lot on the line for this.

645
00:35:17,000 --> 00:35:19,839
Speaker 1: And I know his character. I know his temperament. He's

646
00:35:19,840 --> 00:35:21,640
Speaker 1: a fighter, and no one's going to push him into

647
00:35:21,719 --> 00:35:24,720
Speaker 1: a corner and make him do something or say something

648
00:35:24,760 --> 00:35:28,520
Speaker 1: that's against his ethics or morals on this, right. So

649
00:35:28,600 --> 00:35:30,920
Speaker 1: that's so people say, how do you know Bongino's not

650
00:35:30,960 --> 00:35:32,840
Speaker 1: flipped or something. That's how I know, because I know

651
00:35:32,920 --> 00:35:35,440
Speaker 1: the God, I know how we offer. I don't know

652
00:35:35,600 --> 00:35:38,520
Speaker 1: cash as well. I don't I've never even spoken to

653
00:35:38,560 --> 00:35:40,440
Speaker 1: ag Bondi, to be fair, and we haven't had her

654
00:35:40,480 --> 00:35:43,560
Speaker 1: on the show. I have no personal knowledge of her whatsoever.

655
00:35:43,960 --> 00:35:46,279
Speaker 1: So I'm laying this out just to be this is

656
00:35:46,320 --> 00:35:48,560
Speaker 1: like full disclosure, right, Yep. You know there are people

657
00:35:48,600 --> 00:35:50,520
Speaker 1: whose character I think I know at some level. And

658
00:35:50,560 --> 00:35:52,760
Speaker 1: I've had long talks with Dan in the past about

659
00:35:52,840 --> 00:35:54,719
Speaker 1: all kinds of things, right, So I know Dan a bit.

660
00:35:54,760 --> 00:35:57,960
Speaker 1: I know you do too, ag BONDI I don't know

661
00:35:58,000 --> 00:36:00,319
Speaker 1: it all, and so I have nothing personally for or

662
00:36:00,360 --> 00:36:02,480
Speaker 1: against her other than you know, people like her in

663
00:36:02,560 --> 00:36:05,960
Speaker 1: Florida and she's Trump's attorney general pick. There have been

664
00:36:06,719 --> 00:36:10,239
Speaker 1: clear mistakes made here, Okay, clear mistakes, and I'm just

665
00:36:10,239 --> 00:36:12,800
Speaker 1: talking on the messaging side. We can go even beyond

666
00:36:12,800 --> 00:36:15,799
Speaker 1: the messaging side too, if you think there's still cover

667
00:36:15,920 --> 00:36:21,319
Speaker 1: up going on, which is now you get into. Well, okay,

668
00:36:21,400 --> 00:36:23,239
Speaker 1: let's can I play the dirst clip. Let's just play

669
00:36:23,520 --> 00:36:25,880
Speaker 1: someone let me before we play a whole Let's just

670
00:36:25,880 --> 00:36:31,160
Speaker 1: say this full disclosure. It would actually benefit us professionally

671
00:36:31,840 --> 00:36:36,400
Speaker 1: to rip Bongino and say negative things about him, because

672
00:36:36,400 --> 00:36:37,279
Speaker 1: he did.

673
00:36:37,800 --> 00:36:38,920
Speaker 2: We are on competing here.

674
00:36:39,080 --> 00:36:41,040
Speaker 1: He has a big show, he's on daytime, he's a

675
00:36:41,040 --> 00:36:43,719
Speaker 1: big host. Of course, we're not going to play that

676
00:36:43,840 --> 00:36:46,840
Speaker 1: game because I the guy is. I'm just being honest

677
00:36:46,840 --> 00:36:49,359
Speaker 1: with you all. I believe one hundred percent that Dan

678
00:36:49,400 --> 00:36:53,080
Speaker 1: Bongino is a patriot. He gave up a seat talking

679
00:36:53,320 --> 00:36:56,200
Speaker 1: daily like we do to go because he wanted to

680
00:36:56,280 --> 00:36:59,160
Speaker 1: help make America great and he wanted to work for

681
00:36:59,239 --> 00:37:01,839
Speaker 1: Donald Trump. So I one of one of my one

682
00:37:01,880 --> 00:37:05,279
Speaker 1: of my hesitations even having spoken to the President, and

683
00:37:05,320 --> 00:37:07,880
Speaker 1: the President Trump spoke about this in front of Clay

684
00:37:08,000 --> 00:37:10,160
Speaker 1: and the team, so they know when we were talking

685
00:37:10,200 --> 00:37:11,840
Speaker 1: about maybe me going to work with him and An

686
00:37:12,080 --> 00:37:14,600
Speaker 1: and the d and I, you know, Calsey knows that

687
00:37:14,640 --> 00:37:17,840
Speaker 1: this was all up. Look, if called to serve, the

688
00:37:17,880 --> 00:37:19,960
Speaker 1: President asked you go do it. But I will say

689
00:37:19,960 --> 00:37:22,440
Speaker 1: that I'm not somebody who would want to get into

690
00:37:22,480 --> 00:37:24,359
Speaker 1: this kind of a bureaucratic knife fight. And I know

691
00:37:24,400 --> 00:37:26,360
Speaker 1: that this stuff happens, and this is just the nature

692
00:37:26,400 --> 00:37:30,799
Speaker 1: of DC unfortunately, and Dan, even having the role he did,

693
00:37:31,120 --> 00:37:33,640
Speaker 1: making the money he was making, said I'll do it.

694
00:37:34,000 --> 00:37:36,520
Speaker 2: That's right. So I respect that. I respect that.

695
00:37:37,040 --> 00:37:39,200
Speaker 1: And and look, I mean from our perspective, I can't

696
00:37:39,200 --> 00:37:41,640
Speaker 1: say we're going to get everything right. But part of

697
00:37:41,680 --> 00:37:44,680
Speaker 1: what you do in life is you assess the trustworthiness

698
00:37:44,719 --> 00:37:48,120
Speaker 1: of people. And I would say I would stand behind

699
00:37:48,200 --> 00:37:52,239
Speaker 1: Dan on on on him being an honest person, which

700
00:37:52,280 --> 00:37:55,120
Speaker 1: is what people got mad about me saying earlier like

701
00:37:55,160 --> 00:37:58,680
Speaker 1: this guy's not going to cover up child porn crimes.

702
00:37:58,719 --> 00:37:59,160
Speaker 2: He's just not.

703
00:37:59,760 --> 00:38:02,520
Speaker 1: And so look, there is now a knife fight, to

704
00:38:03,000 --> 00:38:07,120
Speaker 1: use Buck's term, a bureaucratic knife fight over who's responsible

705
00:38:07,200 --> 00:38:11,640
Speaker 1: for messaging errors which have created a cluster and I

706
00:38:11,640 --> 00:38:16,279
Speaker 1: think have deeply frustrated many people inside of the Trump administration,

707
00:38:16,360 --> 00:38:19,680
Speaker 1: potentially including Trump himself, like he's going to Texas right

708
00:38:19,719 --> 00:38:24,959
Speaker 1: now to go visit the flood victims and everything else there.

709
00:38:25,480 --> 00:38:26,279
Speaker 2: I separate out.

710
00:38:26,320 --> 00:38:30,640
Speaker 1: I mean, there's a difference between what you say when

711
00:38:30,680 --> 00:38:34,160
Speaker 1: you are somebody on the outside working in media about

712
00:38:34,200 --> 00:38:36,840
Speaker 1: issues like I don't have access. You don't have access.

713
00:38:36,840 --> 00:38:39,960
Speaker 1: We have not seen classified we have not you know,

714
00:38:40,360 --> 00:38:42,920
Speaker 1: I haven't in over a decade now. We don't have

715
00:38:42,960 --> 00:38:46,440
Speaker 1: access to the government's internal But once you're in that

716
00:38:46,480 --> 00:38:49,480
Speaker 1: position of power to have the access, you have to

717
00:38:49,520 --> 00:38:51,319
Speaker 1: be a little more cautious about what you say. I

718
00:38:51,360 --> 00:38:54,879
Speaker 1: bring this up because what, for example, Dan and Cash

719
00:38:54,960 --> 00:38:58,759
Speaker 1: were saying about this when they were private citizens and

720
00:38:58,880 --> 00:39:01,160
Speaker 1: had been for a while at least certainly the I mean,

721
00:39:01,239 --> 00:39:03,200
Speaker 1: Cash had been the government more recently, but Dan had

722
00:39:03,200 --> 00:39:05,880
Speaker 1: been out for a long time. That's different than Okay,

723
00:39:05,920 --> 00:39:08,600
Speaker 1: now I see this stuff, and I have an obligation

724
00:39:08,719 --> 00:39:12,120
Speaker 1: to speak a certain way about this information, bringing the

725
00:39:12,200 --> 00:39:14,360
Speaker 1: power of my office to it.

726
00:39:15,040 --> 00:39:15,880
Speaker 2: AG BONDI.

727
00:39:16,440 --> 00:39:21,080
Speaker 1: While AG has said some things that while Attorney General

728
00:39:21,400 --> 00:39:24,600
Speaker 1: that were not as squared away or as tightly as

729
00:39:25,000 --> 00:39:29,239
Speaker 1: I think clearly over promised and underdelivered. And all of

730
00:39:29,280 --> 00:39:31,320
Speaker 1: you out there that heard those quotes, and maybe we

731
00:39:31,360 --> 00:39:33,160
Speaker 1: need to pull them again and play them just to

732
00:39:33,160 --> 00:39:35,880
Speaker 1: be full context. All of you who heard those quotes

733
00:39:35,920 --> 00:39:39,359
Speaker 1: are rightly saying, wait a minute, she told us X,

734
00:39:39,560 --> 00:39:42,200
Speaker 1: and now she's telling us why those don't add up?

735
00:39:42,239 --> 00:39:45,160
Speaker 1: And I think that's a fair analysis of the commentary.

736
00:39:45,280 --> 00:39:50,080
Speaker 1: And even if you give the most charitable, favorable version

737
00:39:50,080 --> 00:39:52,640
Speaker 1: of events for the Attorney general here, that you could

738
00:39:53,880 --> 00:39:57,640
Speaker 1: messaging mistakes or mistakes too. Right, even if even if

739
00:39:57,680 --> 00:40:00,319
Speaker 1: she had said things that you know she's not, she's

740
00:40:00,360 --> 00:40:02,719
Speaker 1: not trying to hide the hide the football, so to speak,

741
00:40:02,760 --> 00:40:05,239
Speaker 1: or anything, there's still the way that public views it.

742
00:40:05,360 --> 00:40:07,680
Speaker 2: I do. I think this is important that the Deshwitz

743
00:40:07,719 --> 00:40:09,439
Speaker 2: play it quote, play it, Let's play this.

744
00:40:09,440 --> 00:40:12,680
Speaker 1: This is Alan Dershowitz on whether there's more information that

745
00:40:12,880 --> 00:40:14,320
Speaker 1: has been held back play eighteen.

746
00:40:14,600 --> 00:40:17,160
Speaker 4: I have seen Remember I was accused falsely, and they

747
00:40:17,160 --> 00:40:19,960
Speaker 4: have seen it, and ultimately I was completely cleared. The

748
00:40:20,000 --> 00:40:22,640
Speaker 4: woman admitted that she may have mistook me for somebody

749
00:40:22,640 --> 00:40:24,640
Speaker 4: else and withdrew all of her lawsuits and so from

750
00:40:24,719 --> 00:40:25,560
Speaker 4: day one, from the.

751
00:40:25,600 --> 00:40:26,440
Speaker 2: Day I was accused.

752
00:40:26,440 --> 00:40:28,359
Speaker 4: I said, I want every document out because I knew

753
00:40:28,360 --> 00:40:31,000
Speaker 4: every document would prove I was innocent. So let me

754
00:40:31,040 --> 00:40:33,640
Speaker 4: tell you. I know for a fact documents are being suppressed,

755
00:40:33,719 --> 00:40:36,440
Speaker 4: and they're being suppressed to protect individuals. I know the

756
00:40:36,520 --> 00:40:39,480
Speaker 4: names of the individuals. I know why they're being suppressed.

757
00:40:39,560 --> 00:40:43,160
Speaker 4: I know who's suppressing them. But I'm bound by confidentiality

758
00:40:43,320 --> 00:40:46,600
Speaker 4: from a judge and cases, and I can't disclose.

759
00:40:46,160 --> 00:40:46,560
Speaker 6: What I know.

760
00:40:46,719 --> 00:40:49,520
Speaker 4: But I hand to god, I know I know the

761
00:40:49,680 --> 00:40:53,120
Speaker 4: names of people whose files are being suppressed in order

762
00:40:53,239 --> 00:40:54,960
Speaker 4: to protect them. And that's wrong.

763
00:40:56,040 --> 00:41:01,799
Speaker 1: That is a huge, huge, mushroom cloud level problem. Everybody

764
00:41:01,880 --> 00:41:04,919
Speaker 1: if and I don't, I don't know what we also,

765
00:41:05,280 --> 00:41:08,440
Speaker 1: I don't know Alan Dershowitz personally, but we've had him

766
00:41:08,440 --> 00:41:11,839
Speaker 1: on the show a bunch. I can't imagine that he

767
00:41:12,120 --> 00:41:16,640
Speaker 1: as an attorney. Again, speaking in the larger context now,

768
00:41:16,640 --> 00:41:19,200
Speaker 1: it is very convenient to say, hey, I know a lot,

769
00:41:19,239 --> 00:41:21,799
Speaker 1: but I'm bound by confidentiality, so I can't tell you

770
00:41:22,440 --> 00:41:24,319
Speaker 1: he is an attorney though, right, it's not like he's

771
00:41:24,360 --> 00:41:26,600
Speaker 1: just it's not like he's scorn on a decoder ring

772
00:41:26,680 --> 00:41:30,160
Speaker 1: or something. That's what I'm saying he doesn't look if

773
00:41:30,160 --> 00:41:33,600
Speaker 1: I know he's like eighty now, But Alan Dershowitz, for

774
00:41:33,680 --> 00:41:35,880
Speaker 1: much of the last twenty years, if you had told me, hey,

775
00:41:35,960 --> 00:41:38,680
Speaker 1: you're going to face serious criminal charges, who do you

776
00:41:38,800 --> 00:41:39,680
Speaker 1: want to rep you?

777
00:41:40,080 --> 00:41:43,200
Speaker 2: I mean Trump had Dershowitz repping him, I wouldn't. I mean,

778
00:41:43,280 --> 00:41:44,880
Speaker 2: even at eighty or whatever he is.

779
00:41:44,960 --> 00:41:48,959
Speaker 1: Well, here's here's what I would say, defense attorney, Here's

780
00:41:49,000 --> 00:41:51,719
Speaker 1: what I would say as we try. Why would he lie?

781
00:41:52,040 --> 00:41:55,200
Speaker 1: I think motivations are one of the most important ways

782
00:41:55,239 --> 00:41:59,520
Speaker 1: to evaluate anyone's actions, criminally non criminally. You know what's

783
00:41:59,560 --> 00:42:02,640
Speaker 1: the motivation here? Why would he lie about that right now?

784
00:42:03,120 --> 00:42:05,320
Speaker 1: Because he just needs more attend He's already very famous,

785
00:42:05,360 --> 00:42:08,120
Speaker 1: and he's got more money he's gonna spend like well

786
00:42:08,160 --> 00:42:11,160
Speaker 1: at this stage. So I don't believe he's lying, It's

787
00:42:11,200 --> 00:42:13,480
Speaker 1: my point. So then what does that mean? Where does

788
00:42:13,480 --> 00:42:14,160
Speaker 1: that leave us?

789
00:42:14,360 --> 00:42:15,400
Speaker 2: I it's a mess.

790
00:42:15,480 --> 00:42:18,200
Speaker 1: And again I think this is why this mushroom cloud

791
00:42:18,280 --> 00:42:22,520
Speaker 1: is not going away. And when Alan Dershowitz comes out

792
00:42:22,560 --> 00:42:26,080
Speaker 1: and says this, when Axios is reporting, Hey, the FBI

793
00:42:26,400 --> 00:42:30,239
Speaker 1: and the Attorney General's offices are not happy with each other,

794
00:42:30,280 --> 00:42:34,000
Speaker 1: and they're having yelling matches over communication. I mean, it's

795
00:42:34,000 --> 00:42:35,560
Speaker 1: a mess. And ultimately, you know who's going to have

796
00:42:35,600 --> 00:42:36,840
Speaker 1: to make the decision on how to clean him with

797
00:42:36,840 --> 00:42:39,200
Speaker 1: the mess, President Trump, because it's going to end up

798
00:42:39,239 --> 00:42:41,520
Speaker 1: on his desk and he's going to be, to your

799
00:42:41,560 --> 00:42:45,040
Speaker 1: point a Prentice style looking at this and saying, Okay,

800
00:42:45,080 --> 00:42:47,720
Speaker 1: which side of the equation of the ledger?

801
00:42:47,840 --> 00:42:49,000
Speaker 2: Am I waging? Pay you?

802
00:42:49,200 --> 00:42:52,480
Speaker 1: If you were the president all right and I was, well,

803
00:42:52,520 --> 00:42:54,720
Speaker 1: I guess now we're getting away from the mafia constantly everything.

804
00:42:54,760 --> 00:42:56,120
Speaker 1: If you were the president and I was your chief

805
00:42:56,120 --> 00:42:58,040
Speaker 1: of staff on this one, and you were like, what

806
00:42:58,080 --> 00:42:59,560
Speaker 1: has to happen? I feel like somebody's got to go?

807
00:43:00,800 --> 00:43:02,879
Speaker 1: I would I would say somebody's got to go. This

808
00:43:02,920 --> 00:43:05,960
Speaker 1: is there needs to be accountability already at this stage,

809
00:43:06,440 --> 00:43:09,080
Speaker 1: just for the bait and switch that has occurred here.

810
00:43:09,800 --> 00:43:14,680
Speaker 1: I would also say, release every frickin thing, And just

811
00:43:14,800 --> 00:43:17,760
Speaker 1: if I were if I were revising Trump politically not legally,

812
00:43:17,800 --> 00:43:21,200
Speaker 1: because those are two different things. Release every aspect of

813
00:43:21,280 --> 00:43:24,640
Speaker 1: evidence that you have. Throw it all out there. Let

814
00:43:24,719 --> 00:43:27,960
Speaker 1: everybody look at it and say this is it, Like

815
00:43:28,160 --> 00:43:32,040
Speaker 1: you know, what's the full kimono? Like everything's out there.

816
00:43:32,120 --> 00:43:33,880
Speaker 1: You get to look at it, you analyze it.

817
00:43:34,719 --> 00:43:34,959
Speaker 2: Look.

818
00:43:35,040 --> 00:43:38,080
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821
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822
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Speaker 8: Out with the guys on the Sunday Hang with Clay

837
00:44:34,200 --> 00:44:37,320
Speaker 8: and Buck podcast a new episode every Sunday.

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00:44:37,440 --> 00:44:40,799
Speaker 5: Find it on the iheartapp or wherever you get your podcasts.

839
00:44:40,840 --> 00:44:43,120
Speaker 2: Turn into a dark I started so well.

840
00:44:43,920 --> 00:44:46,440
Speaker 1: I was like, hey, it's two year anniversary almost of

841
00:44:46,520 --> 00:44:49,120
Speaker 1: Trump nearly getting killed. Let's just all be grateful for

842
00:44:49,200 --> 00:44:52,040
Speaker 1: how amazing we try it is that we're all here.

843
00:44:52,360 --> 00:44:58,480
Speaker 1: And then mushroom cloud surrounding the FBI DJ and the

844
00:44:58,640 --> 00:45:02,120
Speaker 1: Epstein mess and are we do we have like a

845
00:45:02,160 --> 00:45:06,759
Speaker 1: moment of positivity for people that are watching on video? Yes, Well,

846
00:45:06,800 --> 00:45:08,960
Speaker 1: if you become a YouTube subscriber, and many of you

847
00:45:09,719 --> 00:45:12,480
Speaker 1: have signed up, you go to YouTube dot com slash

848
00:45:12,520 --> 00:45:15,920
Speaker 1: at Clayandbuck, you'll see things like here we go. But

849
00:45:15,960 --> 00:45:18,560
Speaker 1: so you'd have to be a YouTube watcher to see this. Whoops,

850
00:45:18,920 --> 00:45:21,040
Speaker 1: make sure I got a good grip. We're just bringing

851
00:45:21,080 --> 00:45:24,600
Speaker 1: in a baby. So it's been a tough show. There's

852
00:45:24,680 --> 00:45:28,279
Speaker 1: lots of infighting, there's lots of mess going on, and

853
00:45:28,360 --> 00:45:29,040
Speaker 1: so Buck.

854
00:45:28,920 --> 00:45:32,520
Speaker 2: Was like, oh, that is an amazingly cute little baby. Here.

855
00:45:32,680 --> 00:45:37,200
Speaker 2: How old is James now? James James Speed is three

856
00:45:37,239 --> 00:45:38,640
Speaker 2: months old today.

857
00:45:38,719 --> 00:45:42,640
Speaker 1: Actually, so this is the if you're like, wait a minute,

858
00:45:43,280 --> 00:45:46,560
Speaker 1: you're just shifting stories. This is what babies are for.

859
00:45:46,960 --> 00:45:49,040
Speaker 1: They helped to make people happier. So we have just

860
00:45:49,120 --> 00:45:51,680
Speaker 1: brought in a three month old baby. By the way,

861
00:45:51,760 --> 00:45:53,960
Speaker 1: you will see this if you go subscribe at Clay

862
00:45:54,000 --> 00:45:56,919
Speaker 1: and Buck. A thousand of you yesterday went and did

863
00:45:56,960 --> 00:45:59,320
Speaker 1: this after Buck promised that you would get to see

864
00:46:00,200 --> 00:46:04,480
Speaker 1: his firstborn. Right there is a super cute, awesome little

865
00:46:04,520 --> 00:46:09,760
Speaker 1: baby boy. So is our relative the former attorney general.

866
00:46:10,120 --> 00:46:12,320
Speaker 1: Look at that under Abraham Lincoln.

867
00:46:12,360 --> 00:46:14,520
Speaker 2: So there you go. That is awesome.

868
00:46:14,600 --> 00:46:17,000
Speaker 1: So there you will see this on YouTube if you

869
00:46:17,280 --> 00:46:20,600
Speaker 1: probably will put it up at Clayanbuck dot com. As

870
00:46:22,239 --> 00:46:25,640
Speaker 1: we roll into the weekend, I think we just needed

871
00:46:25,680 --> 00:46:28,879
Speaker 1: we just needed a moment with a baby positivity. Bring

872
00:46:28,920 --> 00:46:33,080
Speaker 1: a baby, Okay, So on Trump. Trump is in Texas

873
00:46:33,880 --> 00:46:38,360
Speaker 1: dealing with the flood aftermath of the disaster which started

874
00:46:38,360 --> 00:46:43,719
Speaker 1: off this week. Maybe because this is a Friday, the

875
00:46:43,800 --> 00:46:47,480
Speaker 1: fact that everywhere is the report. Now, we started it

876
00:46:47,520 --> 00:46:48,919
Speaker 1: off about an hour and a half ago, I would

877
00:46:48,920 --> 00:46:50,800
Speaker 1: say we were probably ahead of the curve and letting

878
00:46:50,840 --> 00:46:52,840
Speaker 1: you know that this was potentially going to be an issue.

879
00:46:53,880 --> 00:46:55,600
Speaker 1: And if you just getting in your car, you're just

880
00:46:55,680 --> 00:46:57,960
Speaker 1: starting off your day, you haven't been paying attention to

881
00:46:58,040 --> 00:47:03,600
Speaker 1: the news reports that Deputy FBI Director Dan Bongino has said,

882
00:47:03,800 --> 00:47:09,520
Speaker 1: it's basically either me or Attorney General Pambondi over the

883
00:47:09,520 --> 00:47:16,160
Speaker 1: fallout surrounding the Epstein investigation. There's a belief that on

884
00:47:16,239 --> 00:47:19,799
Speaker 1: the side of the FBI that Attorney General Pambondy has

885
00:47:19,920 --> 00:47:24,040
Speaker 1: over promised and under delivered. And do we have the audio?

886
00:47:24,280 --> 00:47:27,160
Speaker 1: Did Greg pull the audio for us yet? Of these

887
00:47:27,239 --> 00:47:32,879
Speaker 1: clips that have gone megaviral of Pambondy saying basically, hey,

888
00:47:32,920 --> 00:47:35,720
Speaker 1: these files are on my desk and trying to walk

889
00:47:35,760 --> 00:47:38,239
Speaker 1: back what she has said. We know that they had

890
00:47:38,280 --> 00:47:43,600
Speaker 1: the binder surrounding everything that was that was put out there. Okay,

891
00:47:43,680 --> 00:47:46,120
Speaker 1: let me just play this. This is a flashback first

892
00:47:46,239 --> 00:47:50,840
Speaker 1: cut thirty three. Here, this is February twenty first, twenty

893
00:47:50,920 --> 00:47:55,640
Speaker 1: twenty five. Pambondy says, the Epstein client list is sitting

894
00:47:55,719 --> 00:47:59,480
Speaker 1: on my desk right now. This was on Fox News

895
00:47:59,600 --> 00:48:04,360
Speaker 1: America's newsroom, John Roberts asking the questions. She's tried to

896
00:48:04,400 --> 00:48:07,480
Speaker 1: say she didn't mean the actual list, but this is

897
00:48:07,520 --> 00:48:10,560
Speaker 1: what they talk about when they say over promise, under

898
00:48:10,560 --> 00:48:14,640
Speaker 1: deliver cut thirty three. Doj maybe releasing the list of

899
00:48:14,719 --> 00:48:16,280
Speaker 1: Jeffery Epstein's clients.

900
00:48:16,640 --> 00:48:17,520
Speaker 2: Well, that really happen.

901
00:48:17,840 --> 00:48:21,160
Speaker 9: It's sitting on my desk right now to review. That's

902
00:48:21,200 --> 00:48:23,239
Speaker 9: been a directive by President Trump.

903
00:48:23,320 --> 00:48:24,000
Speaker 2: I'm reviewing that.

904
00:48:24,120 --> 00:48:28,160
Speaker 9: I'm reviewing JFK files, MLK files. That's all in the

905
00:48:28,200 --> 00:48:30,279
Speaker 9: process of being reviewed because that was done at the

906
00:48:30,320 --> 00:48:32,640
Speaker 9: directive of the president from all of these agencies.

907
00:48:32,760 --> 00:48:34,960
Speaker 2: So so have you seen anything there? You said, Oh,

908
00:48:35,000 --> 00:48:36,279
Speaker 2: my gosh, not yet.

909
00:48:37,120 --> 00:48:40,200
Speaker 1: Okay, good follow up to be fair by John Roberts.

910
00:48:40,640 --> 00:48:44,120
Speaker 1: And again, the client list and the Epstein the list

911
00:48:44,160 --> 00:48:48,080
Speaker 1: and all these things. List is a very interesting phrase, right,

912
00:48:48,200 --> 00:48:52,040
Speaker 1: because what is the list consist of? Is it people

913
00:48:52,080 --> 00:48:55,960
Speaker 1: who flew on the airplane, which can be legal? Right,

914
00:48:56,080 --> 00:48:59,160
Speaker 1: A lot of people can have legally flown on the airplane,

915
00:49:00,000 --> 00:49:02,799
Speaker 1: which I read did six hundred trips a year or something.

916
00:49:02,880 --> 00:49:04,719
Speaker 1: I mean, this was a jet that he had that

917
00:49:04,760 --> 00:49:10,360
Speaker 1: flew everywhere. Was it client list? Meaning he invested with people,

918
00:49:10,840 --> 00:49:13,480
Speaker 1: many of whom may have known nothing about his private life.

919
00:49:14,400 --> 00:49:18,839
Speaker 1: So that's a mess. But it implicated and certainly implied

920
00:49:19,320 --> 00:49:21,239
Speaker 1: that there was going to be a release and that

921
00:49:21,239 --> 00:49:23,719
Speaker 1: there would be some consequences for people who might have

922
00:49:23,760 --> 00:49:27,040
Speaker 1: engaged in crimes. Alongside of Epstein. That was cut one.

923
00:49:27,160 --> 00:49:30,399
Speaker 1: That's February twenty first. She then said on our friend

924
00:49:30,440 --> 00:49:35,040
Speaker 1: Sean Hannity Show, this was in March, that the Epstein

925
00:49:35,120 --> 00:49:37,440
Speaker 1: client list was sitting on her desk and that it

926
00:49:37,520 --> 00:49:41,279
Speaker 1: was a truckload, a truckload of documents.

927
00:49:41,320 --> 00:49:42,520
Speaker 2: This is cut thirty four.

928
00:49:42,640 --> 00:49:45,279
Speaker 9: Listen, you're looking at these documents, going, these aren't all

929
00:49:45,280 --> 00:49:47,560
Speaker 9: the Epstein files. You know, there were flight logs, there

930
00:49:47,560 --> 00:49:50,520
Speaker 9: were names and victims' names, and we're going, where's the

931
00:49:50,600 --> 00:49:52,880
Speaker 9: rest of the stuff. And that's what the FBI had

932
00:49:52,920 --> 00:49:56,200
Speaker 9: turned over to us. And so a source said, oh,

933
00:49:56,760 --> 00:49:59,080
Speaker 9: all this evidence is sitting in the Southern District of

934
00:49:59,120 --> 00:50:02,200
Speaker 9: New York. Based on that, I gave them the deadline

935
00:50:02,400 --> 00:50:06,440
Speaker 9: Friday at eight, a truckload of evidence arrive. It's now

936
00:50:06,480 --> 00:50:09,200
Speaker 9: in the possession of the FBI. Cash is going to

937
00:50:09,239 --> 00:50:12,239
Speaker 9: get me and himself really a detailed report as to

938
00:50:12,320 --> 00:50:16,560
Speaker 9: why all these documents and evidence had been withheld, and

939
00:50:16,640 --> 00:50:18,399
Speaker 9: you know, we're going to go through it, go through

940
00:50:18,400 --> 00:50:20,799
Speaker 9: it as fast as we can, but go through it

941
00:50:20,920 --> 00:50:24,200
Speaker 9: very cautiously to protect all the victims of Eppstein, because

942
00:50:24,200 --> 00:50:25,440
Speaker 9: there are a lot of victims.

943
00:50:26,000 --> 00:50:29,680
Speaker 1: Okay, truckload of documents evidence sitting on my desk. And

944
00:50:29,719 --> 00:50:32,239
Speaker 1: then to your point, Buck, suddenly on Sunday they come

945
00:50:32,280 --> 00:50:36,400
Speaker 1: out and say, hey, yeah, there's no real prosecutable evidence

946
00:50:36,440 --> 00:50:39,040
Speaker 1: here and let's just move on. And a lot of

947
00:50:39,040 --> 00:50:43,160
Speaker 1: people have said, record scratch moment, what are you talking about.

948
00:50:43,200 --> 00:50:45,520
Speaker 1: We heard what you said in February. We heard what

949
00:50:45,560 --> 00:50:47,960
Speaker 1: you said in March. I'm talking about Attorney General Pam BONDI.

950
00:50:48,480 --> 00:50:51,160
Speaker 1: How in the world can you now tell us truckloads

951
00:50:51,200 --> 00:50:54,359
Speaker 1: of documents stuff sitting on your desk. Oh, there's nothing here.

952
00:50:54,480 --> 00:50:55,080
Speaker 1: It's a mess.

953
00:50:55,160 --> 00:50:58,000
Speaker 2: She over promised and has under delivered, and that is

954
00:50:58,040 --> 00:50:58,800
Speaker 2: a huge issue.

955
00:50:59,600 --> 00:51:02,520
Speaker 1: Well, we would say under any other circumstance that the

956
00:51:02,520 --> 00:51:07,359
Speaker 1: public's faith and trust in the Attorney General and more

957
00:51:07,400 --> 00:51:10,839
Speaker 1: broadly in the Department of Justice is important. It's not

958
00:51:11,000 --> 00:51:13,800
Speaker 1: just about making the right decision, it's about the perception

959
00:51:13,920 --> 00:51:17,200
Speaker 1: that the right decisions are being made and that and

960
00:51:17,719 --> 00:51:20,799
Speaker 1: can be trusted. Right, So there's what you do, and

961
00:51:20,840 --> 00:51:23,480
Speaker 1: there's also how the people feel about what's going on.

962
00:51:24,320 --> 00:51:27,600
Speaker 1: And uh, you know, the fact that all you have

963
00:51:27,680 --> 00:51:29,319
Speaker 1: to know is the fact that we've got as many

964
00:51:29,320 --> 00:51:31,440
Speaker 1: people as riled up as they are right now, And

965
00:51:31,480 --> 00:51:34,759
Speaker 1: I'm not disparaging it because I understand the frustration, and

966
00:51:34,800 --> 00:51:39,120
Speaker 1: I understand the sense of hiding the football or the

967
00:51:39,360 --> 00:51:42,080
Speaker 1: political whiplash, because it's there, it's real, and this has happened.

968
00:51:42,680 --> 00:51:42,759
Speaker 5: This.

969
00:51:42,920 --> 00:51:44,920
Speaker 1: I could not believe the Sunday memo when I read it,

970
00:51:45,280 --> 00:51:46,920
Speaker 1: and I mean, you can all see it's public record.

971
00:51:46,920 --> 00:51:49,200
Speaker 1: My first response was because they said there's no blackmail.

972
00:51:49,239 --> 00:51:50,920
Speaker 1: I'm like, I fundamentally do not believe that there was

973
00:51:50,960 --> 00:51:54,359
Speaker 1: no blackmail going on. I do not believe that I

974
00:51:54,400 --> 00:51:57,359
Speaker 1: think that he blackmailed people. Like by the way, there's

975
00:51:57,400 --> 00:52:01,640
Speaker 1: a difference between we don't have the evidence to prove something,

976
00:52:01,680 --> 00:52:04,480
Speaker 1: which I think this is so important. I think that

977
00:52:04,560 --> 00:52:07,359
Speaker 1: they walked into a mess here. I think there might

978
00:52:07,400 --> 00:52:10,440
Speaker 1: have been evidence in the past. You just heard Nicole

979
00:52:10,480 --> 00:52:13,440
Speaker 1: Parker talking about this the first prosecution. You and I

980
00:52:13,480 --> 00:52:16,160
Speaker 1: were talking about this off air. You know what, guy

981
00:52:16,239 --> 00:52:21,359
Speaker 1: is sleeping with underage kids, right, and you give him

982
00:52:21,400 --> 00:52:25,759
Speaker 1: thirteen months home confinement the first I'm talking about the

983
00:52:25,760 --> 00:52:29,200
Speaker 1: first punishment, which was twenty eighteen or whatever the heck

984
00:52:29,239 --> 00:52:29,600
Speaker 1: it was.

985
00:52:30,520 --> 00:52:33,080
Speaker 2: How does that happen? You got people you know this.

986
00:52:33,040 --> 00:52:36,520
Speaker 1: But like when I practice criminal law, I knew a

987
00:52:36,640 --> 00:52:39,960
Speaker 1: guy in the US Virgin Islands who slept with a

988
00:52:40,000 --> 00:52:42,719
Speaker 1: girl that pretended she was eighteen and she was like

989
00:52:42,840 --> 00:52:46,640
Speaker 1: seventeen or something. He was twenty two. He went to prison.

990
00:52:47,640 --> 00:52:50,480
Speaker 1: She lies, she had a fake ID. Everybody's like, what

991
00:52:50,800 --> 00:52:55,239
Speaker 1: bartender meets her like they sleep together. She lied about

992
00:52:55,320 --> 00:52:55,880
Speaker 1: who she was.

993
00:52:55,920 --> 00:52:57,560
Speaker 2: She lied. He went to prison.

994
00:52:57,719 --> 00:53:01,560
Speaker 1: One one interaction, and you're telling me this guy in

995
00:53:01,719 --> 00:53:05,520
Speaker 1: Florida is sleeping with lots of girls under the age

996
00:53:05,520 --> 00:53:07,280
Speaker 1: of eighteen, under the age of consent.

997
00:53:07,840 --> 00:53:10,680
Speaker 2: So some of them are some of them were hold on.

998
00:53:10,760 --> 00:53:12,960
Speaker 1: Some of them were also, like because I saw the

999
00:53:12,960 --> 00:53:16,560
Speaker 1: documentary about this and like thirteen or fourteen as well.

1000
00:53:16,600 --> 00:53:19,880
Speaker 1: I mean, really age of consent is eighteen in Florida,

1001
00:53:19,960 --> 00:53:22,720
Speaker 1: so well under the age of consent. And he got

1002
00:53:23,239 --> 00:53:26,920
Speaker 1: home confinement. That is a record scratch moment. Now that

1003
00:53:26,960 --> 00:53:29,520
Speaker 1: happened all the way back in eighteen right, and it

1004
00:53:29,600 --> 00:53:32,240
Speaker 1: was not am I correcting that it was two thousand,

1005
00:53:32,560 --> 00:53:32,960
Speaker 1: Maybe it was.

1006
00:53:32,960 --> 00:53:33,880
Speaker 2: Even earlier than that.

1007
00:53:34,440 --> 00:53:35,960
Speaker 1: I want to make sure I get the year right

1008
00:53:36,040 --> 00:53:40,680
Speaker 1: of the initial prosecution. Then he was re arrested after

1009
00:53:40,719 --> 00:53:44,000
Speaker 1: he had already served the home confinement penalty. Well, he

1010
00:53:44,040 --> 00:53:46,880
Speaker 1: was rearrested because the Miami Herald actually did an investigation

1011
00:53:47,320 --> 00:53:50,319
Speaker 1: and it became more public what was going on. And

1012
00:53:50,360 --> 00:53:52,359
Speaker 1: then I think they looked into it and realized, not

1013
00:53:52,400 --> 00:53:58,160
Speaker 1: only did he get off with a shockingly light approach

1014
00:53:58,200 --> 00:54:02,120
Speaker 1: the first time, he kept doing stuff. Yeah, that's right

1015
00:54:02,239 --> 00:54:05,840
Speaker 1: doing it so sorry my apology question. There was a

1016
00:54:05,840 --> 00:54:08,520
Speaker 1: massive failure of justice of the DOJ system here, by

1017
00:54:08,560 --> 00:54:11,960
Speaker 1: the way, I want to correct the year. So the

1018
00:54:12,160 --> 00:54:14,719
Speaker 1: second arrest, he was arrested a second time, and I

1019
00:54:14,719 --> 00:54:18,120
Speaker 1: know Nicole ran through this, but in twenty nineteen, in

1020
00:54:18,200 --> 00:54:22,799
Speaker 1: two thousand and five, they started the investigation. So, I mean,

1021
00:54:22,840 --> 00:54:26,400
Speaker 1: who was president two thousand and freaking five, George W. Bush, Right,

1022
00:54:26,440 --> 00:54:29,279
Speaker 1: I mean we're talking about something twenty years ago that

1023
00:54:29,440 --> 00:54:33,280
Speaker 1: was initially investigated. He pled guilty, Sorry, I said, twenty eighteen,

1024
00:54:33,320 --> 00:54:37,839
Speaker 1: two thousand and eight to Florida State Court and just

1025
00:54:37,880 --> 00:54:43,560
Speaker 1: got thirteen months as a basically home confinement work release

1026
00:54:44,280 --> 00:54:46,600
Speaker 1: that was going on. I mean, that's nothing. And then

1027
00:54:46,640 --> 00:54:49,359
Speaker 1: he got rearrested in the middle of the me too.

1028
00:54:49,560 --> 00:54:51,680
Speaker 1: After people went back and looked and said, what in

1029
00:54:51,680 --> 00:54:54,160
Speaker 1: the world, how did this guy get such favorable treatment.

1030
00:54:54,239 --> 00:54:57,720
Speaker 1: So again, the first investigation the one that happened twenty

1031
00:54:57,800 --> 00:55:01,839
Speaker 1: years ago. How does that happen? How does a guy

1032
00:55:02,239 --> 00:55:07,600
Speaker 1: dead to rights get off on that level of lenient treatment.

1033
00:55:07,920 --> 00:55:10,720
Speaker 1: That's a question that I think goes to the essence now.

1034
00:55:10,880 --> 00:55:13,359
Speaker 1: But the problem I think buck is by the time

1035
00:55:13,440 --> 00:55:18,680
Speaker 1: these guys get into office, Bondi, Bongino Cash, I don't

1036
00:55:18,680 --> 00:55:21,160
Speaker 1: think there's very much there. I think they're telling the

1037
00:55:21,200 --> 00:55:24,680
Speaker 1: truth because if this were this is not an argument

1038
00:55:24,800 --> 00:55:28,279
Speaker 1: over hey, one person wants to arrest eight people and

1039
00:55:28,320 --> 00:55:31,480
Speaker 1: the other person is saying no. It's just an argument

1040
00:55:31,600 --> 00:55:35,040
Speaker 1: about the communication. That has made this a bigger mushroom

1041
00:55:35,080 --> 00:55:37,200
Speaker 1: cloud than it would have been if they had come

1042
00:55:37,200 --> 00:55:39,120
Speaker 1: out and just said what I said to you, Hey,

1043
00:55:39,120 --> 00:55:41,200
Speaker 1: we don't think there's much here, and I'm sorry, and

1044
00:55:41,239 --> 00:55:43,239
Speaker 1: I don't know what happened and they screwed this up

1045
00:55:43,239 --> 00:55:45,800
Speaker 1: and we just walked into this mess. I think people

1046
00:55:45,920 --> 00:55:49,080
Speaker 1: would have been more likely to accept it. Then Wow,

1047
00:55:49,400 --> 00:55:51,520
Speaker 1: here you go. This is cut thirty five the CNN

1048
00:55:51,600 --> 00:55:53,640
Speaker 1: data analyst. You know, maybe the left is going to

1049
00:55:53,680 --> 00:55:56,600
Speaker 1: realize this is actually a big deal on the right

1050
00:55:56,680 --> 00:55:59,399
Speaker 1: and they're going to start trying to create more divisions here.

1051
00:55:59,560 --> 00:56:03,040
Speaker 1: That's something to be aware of But CNN's data guy

1052
00:56:03,120 --> 00:56:04,400
Speaker 1: looking at what.

1053
00:56:04,280 --> 00:56:06,440
Speaker 2: This has done to Google searches this week. This is

1054
00:56:06,480 --> 00:56:07,760
Speaker 2: cut thirty five play.

1055
00:56:07,840 --> 00:56:13,200
Speaker 7: What a massive unforced error by the Trump administration. Donald

1056
00:56:13,239 --> 00:56:16,400
Speaker 7: Trump would love this story to go away, but in

1057
00:56:16,480 --> 00:56:20,240
Speaker 7: fact interest is climbing hire and hire to quote Jackie Wilson,

1058
00:56:20,239 --> 00:56:20,600
Speaker 7: look at this.

1059
00:56:20,680 --> 00:56:22,440
Speaker 2: Google searches for Epstein.

1060
00:56:22,320 --> 00:56:27,359
Speaker 7: Up twelve hundred percent this week versus last and get this.

1061
00:56:27,480 --> 00:56:31,000
Speaker 7: It is currently the top the top topic search with

1062
00:56:31,160 --> 00:56:35,880
Speaker 7: Trump on Google, alongside his presidency. So Donald Trump normally,

1063
00:56:35,920 --> 00:56:39,160
Speaker 7: you know, leans in, leans in the stories in which

1064
00:56:39,160 --> 00:56:42,200
Speaker 7: there's controversy, like Taris for example. This is a story

1065
00:56:42,200 --> 00:56:45,200
Speaker 7: in which he's trying to get away from basically saying

1066
00:56:45,280 --> 00:56:46,480
Speaker 7: why is anyone still.

1067
00:56:46,239 --> 00:56:47,120
Speaker 2: Interested in this story?

1068
00:56:47,280 --> 00:56:50,719
Speaker 7: But the bottom line is people are very interested in

1069
00:56:50,760 --> 00:56:52,920
Speaker 7: this story to historic degrees.

1070
00:56:55,239 --> 00:56:58,000
Speaker 2: I mean, there you go, that's the idea.

1071
00:56:58,239 --> 00:57:02,080
Speaker 1: People are interested in it to historic agrees. And again,

1072
00:57:02,160 --> 00:57:05,000
Speaker 1: I think to your point, they're not going to get

1073
00:57:05,000 --> 00:57:08,839
Speaker 1: people mad at Trump because he is out there and

1074
00:57:08,880 --> 00:57:11,319
Speaker 1: he is arresting people. You know, they're trying to say, oh,

1075
00:57:11,640 --> 00:57:14,640
Speaker 1: Ice is too powerful. We voted for this. I think

1076
00:57:14,680 --> 00:57:17,360
Speaker 1: a lot of people said I voted for Jeffrey X

1077
00:57:17,400 --> 00:57:22,040
Speaker 1: Epstein's victims to be prosecuted. And so this mess I

1078
00:57:22,080 --> 00:57:25,880
Speaker 1: think is actually more destructive inside of the Trump his

1079
00:57:25,960 --> 00:57:29,200
Speaker 1: co conspirator, his co conspirators to be prosecuted, to get

1080
00:57:29,280 --> 00:57:32,080
Speaker 1: justice for the victims. Yes, but inside of the Trump

1081
00:57:32,160 --> 00:57:35,240
Speaker 1: voting base, this is actually a mess for Trump.

1082
00:57:35,400 --> 00:57:36,600
Speaker 2: Ice raids and.

1083
00:57:38,240 --> 00:57:40,560
Speaker 1: Tax cuts and things like that, by and large are

1084
00:57:40,600 --> 00:57:42,880
Speaker 1: not If I had told you two months ago that

1085
00:57:42,920 --> 00:57:48,400
Speaker 1: the Trump administration's B two bomber strikes on Iranian nuclear

1086
00:57:48,440 --> 00:57:52,680
Speaker 1: facilities would be a two day story and the DOJ's

1087
00:57:52,800 --> 00:57:58,080
Speaker 1: handling Epstein files would be a five alarm fire at

1088
00:57:58,160 --> 00:58:01,160
Speaker 1: least online in the New Side for an entire week,

1089
00:58:01,600 --> 00:58:02,960
Speaker 1: we just said that's not possible.

1090
00:58:03,040 --> 00:58:05,800
Speaker 2: I agree. Here we are here. I wouldn't believed it here.

1091
00:58:05,840 --> 00:58:07,440
Speaker 1: You want a positive, buck as I get ready to

1092
00:58:07,480 --> 00:58:09,440
Speaker 1: read this, let me give you a positive. Well, you

1093
00:58:09,480 --> 00:58:11,720
Speaker 1: know what, I'm going to save the positive. I want

1094
00:58:11,720 --> 00:58:13,400
Speaker 1: to give you good news going into the weekend. I've

1095
00:58:13,400 --> 00:58:16,040
Speaker 1: got a good news story for everybody as we headed

1096
00:58:16,040 --> 00:58:18,440
Speaker 1: into the weekend. But first I want to tell you, look,

1097
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Speaker 1: how much do you want to protect and preserve the

1098
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Speaker 1: memories that you and your family have created over the years.

1099
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Speaker 1: I bet you do a lot. We just had July fourth.

1100
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Speaker 1: How many July fourths have you had? Great cookouts, great barbecues,

1101
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Speaker 1: great fireworks, celebrations. How many of those are on vhs?

1102
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Speaker 1: How many of those are old school on pictures? How

1103
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1104
00:58:43,200 --> 00:58:45,680
Speaker 1: And how many of them Well, frankly, they aren't on

1105
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Speaker 1: digital at all, and they aren't easy to share. That's

1106
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Speaker 1: the business question that led to the creation of legacy Box.

1107
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Speaker 1: Legacy Box can help to preserve your family memories forever

1108
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Speaker 1: million of them, have already relied on legacy Box to

1110
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Speaker 1: digitally transfer all the memories you can easily watch, share

1111
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Speaker 1: and be allowed you to share them online, allow them,

1112
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Speaker 1: you to text them to friends and family. Visit legacybox

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Speaker 1: one more time. Legacybox dot Com slash Clay.

1117
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Speaker 5: Cheep up with the biggest political comeback in world history.

1118
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Speaker 5: On the Team forty seven podcast clay In Book, Highlight Trump,

1119
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Speaker 5: free plays from the week, Sundays at noon Eastern. Find

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Speaker 5: it on the iHeartRadio app or wherever you get your podcasts.