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Speaker 1: W another another three hours of live radio coming your way,

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Speaker 1: I mean, Thursday night edition of the Midweek Crisis. I'm

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Speaker 1: Dan Carroll, Joe Waddell running the Big Board in the

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Speaker 1: seven hundred WIW command center. No guests the first hour,

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Speaker 1: so if you want to jump on board five one, three, nine, seven,

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Speaker 1: eight hundred, the big One. I've got Fox News on

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Speaker 1: over to my left, and their police are in Salem,

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Speaker 1: New Hampshire, and they have been looking in a in

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Speaker 1: a storage unit, you know, they're They're at one of

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Speaker 1: those storage places. And apparently Fox News is reporting that

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Speaker 1: they've got a report that says the suspected shooter at

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Speaker 1: Brown University has been found dead inside a storage unit

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Speaker 1: there in Salem, New Hampshire. So there we are awaiting

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Speaker 1: another news conference from Providence, Rhode Island, the police department there,

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Speaker 1: and we'll find out what the latest developments on that is.

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Speaker 1: What else do we got tonight? A couple of guests

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Speaker 1: in the in the ten o'clock hour, My buddy Joe

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Speaker 1: Hoft is going to be here. This is my last

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Speaker 1: nighttime show for twenty twenty five. Next week and the

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Speaker 1: week after that, I'll be doing afternoon shows filling in

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Speaker 1: for Eddie and Rocky all next week and the week

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Speaker 1: after that leading up to New Year. So it's my

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Speaker 1: last nighttime show. Joe Hoft is one of my great

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Speaker 1: guests that I have that I have on this show

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Speaker 1: on a recurring basis, and it's gonna be great to

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Speaker 1: talk to him. And then my buddy doctor Sheldon Roth.

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Speaker 1: Haven't spoken to him in a while, and he wrote

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Speaker 1: a book about Trump, about Trump's Beautiful Mind. And I

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Speaker 1: was listening to Chuck Schumer earlier today Chuck Schumer felt

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Speaker 1: compelled to go to the floor of the Senate and

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Speaker 1: speak on Trump and psychoanalyzed Trump, and we'll compare Chuck

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Speaker 1: Schumer's analysis of Trump and his mental state compared to

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Speaker 1: doctor Sheldon Roth. So I say, I think that that'll

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Speaker 1: be interesting. In the meantime, I want to follow up

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Speaker 1: on the last couple of days ever since the murder

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Speaker 1: of Rob Reiner in California, and that was terrible news

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Speaker 1: when that broke over the weekend. I considered Rob Ryan

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Speaker 1: to be a very talented individual. I've watched his movies

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Speaker 1: over the years, especially Princess Bride, and I mean there's

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Speaker 1: there's his ability to direct and the way he could

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Speaker 1: communicate a story and a message just the top knives.

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Speaker 1: The talent is undeniable, and so I was horrified learning

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Speaker 1: the details of what happened to him and his wife.

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Speaker 1: And so that is an absolutely tragic circumstance. If what

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Speaker 1: is alleged to have happened with his son stabbing them

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Speaker 1: to death, it's a terrible thing. And one of the

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Speaker 1: things that happened over the weekend was that Donald Trump

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Speaker 1: put out a statement and the first thing he said

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Speaker 1: it was very sad. But Donald Trump was no fan

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Speaker 1: of Rob Reiner. I disagreed in the most profound ways

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Speaker 1: possible with Rob Reiner when it came to political issues,

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Speaker 1: and he was quite prolific on his social media of

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Speaker 1: putting stuff out that was anti Trump and all the rest.

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Speaker 1: And he's and he's has been one of the loudest

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Speaker 1: voices when it comes to saying bad things about Donald Trump.

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Speaker 1: And so it seemed to me that it would not

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Speaker 1: be unexpected that Trump would not deviate from who he

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Speaker 1: is as a person to go out and just and

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Speaker 1: say nice things about Rob Reiner. And so Trump put

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Speaker 1: a statement out there that a lot of people didn't

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Speaker 1: care for, They didn't like it. I wasn't particularly and

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Speaker 1: crazy about it. Here's what I wrote on my x

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Speaker 1: feet about the about the statement that Trump put out there,

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Speaker 1: and I wrote this, Trump was staying true to who

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Speaker 1: he is, and some may find that distasteful. I'd prefer

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Speaker 1: it if his statement on Reiner was more artful crafted,

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Speaker 1: but overall it's fairly tame compared to statements that have

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Speaker 1: come from the left in similar circumstances. And I stand

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Speaker 1: by that. When I wrote that, I was reminded of

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Speaker 1: some of just just some of the most horrible statements,

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Speaker 1: just some of some of the most terrible things imaginable

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Speaker 1: that were put out there. And when we saw the

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Speaker 1: assassination of Charlie Kirk, and this would not be the

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Speaker 1: first time that we have had just some of the

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Speaker 1: worst statements imaginable after someone who was well known on

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Speaker 1: the right passes away, and the absolute joy that is

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Speaker 1: expressed by some of the people who put those statements out.

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Speaker 1: So there were some people who saw that that I

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Speaker 1: posted that on my x feed over the weekend, and

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Speaker 1: they tried to take me in a task for that,

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Speaker 1: saying that you know, I don't know what I'm talking about,

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Speaker 1: and that you know you did. Didn't your mom ever

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Speaker 1: tell you not to? You know, you can't see anything nice,

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Speaker 1: all that kind of stuff. And so I'm getting ready

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Speaker 1: for the show today and I see that Larry Elder,

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Speaker 1: who was a great talk show host in his own right,

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Speaker 1: he wrote a piece about Rob Reiner and as I said,

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Speaker 1: Donald Trump was no fan of Rob Reiner. And I remember,

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Speaker 1: oh gosh, it was had to be six seven years ago.

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Speaker 1: I did almost almost an entire show about something that

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Speaker 1: Rob Reiner wrote that was just just really terrible, and

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Speaker 1: I spent a lot of time. It was a it

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Speaker 1: was a Saturday show, but it was just some of

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Speaker 1: the some of the most terrible stuff, and I pretty

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Speaker 1: much dissected just about everything he had to say and

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Speaker 1: took issue with what he had to say. And I

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Speaker 1: just remembered that he could. He was perfectly capable of

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Speaker 1: saying horrible things in his own right. And so Larry

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Speaker 1: Elder wrote a piece about this, and he talks about

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Speaker 1: Donald Trump could have taken the high ground rather than

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Speaker 1: excoriating Rob Reiner. The actor, director, producer found stab to

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Speaker 1: death along with his wife. Reiner's son, Nick, has been

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Speaker 1: arrested in connection with the murders. Trump doubled down in

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Speaker 1: a true social post, telling reporters, I think he hurt

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Speaker 1: himself career wise. He became like a deranged person Trump

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Speaker 1: derangement syndrome. So I was not a fan of Rob

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Speaker 1: Ryder at all in any way, shape or form. I

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Speaker 1: thought he was very bad for our country. So why

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Speaker 1: would you expect, knowing what you know about Donald Trump,

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Speaker 1: for him to react any other way. If someone punches him,

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Speaker 1: he punches back harder. And there are certain things I

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Speaker 1: think that he lets go and doesn't hold on to.

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Speaker 1: But I don't think he was ever friends with Rob Reiner.

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Speaker 1: I don't think Yner ever reached out to him. I

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Speaker 1: don't think they certainly didn't reach out to each other.

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Speaker 1: But he just didn't care for and he wasn't going

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Speaker 1: to change that, even though he was murdered in his

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Speaker 1: own home. And Larry Elder goes on. Criticism about Trump's

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Speaker 1: harsh remarks even came from Trump supporters, But consider Rob

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Speaker 1: Reiner's actions against and statements about candidate and President Donald Trump.

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Speaker 1: Here we go. Reiner, months after Trump won the presidency

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Speaker 1: in twenty sixteen, co founded the Nonpartisan Committee to Investigate Russia.

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Speaker 1: Its mission said Reiner was to serve as a one

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Speaker 1: stop shop where people can come and be made aware

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Speaker 1: of what the breaking news stories are today, the various investigations,

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Speaker 1: what stages they are in, but also to understand the

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Speaker 1: history and what the Soviet Union and now Russia has

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Speaker 1: been trying to do for many, many years. My concern

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Speaker 1: is people don't understand the gravity of what they were

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Speaker 1: able to do. This committee's advisory board includes former Director

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Speaker 1: of National Intelligence James Clapper, We've all heard that name before,

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Speaker 1: former Director of the CIA, Michael Hayden, former Secretary of Defense,

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Speaker 1: director of the CIA, and former White House Chief of

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Speaker 1: Staff Leon Pennetta. Former acting Director of the CIA Michael Morrell.

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Speaker 1: They were among the fifty one senior former intelligence officials

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Speaker 1: who signed the letter claiming the Hunter Biden laptop story

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Speaker 1: has all the classic gear marks of a Russian information operation,

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Speaker 1: and I think we know how that turned out, do

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Speaker 1: we not. So Rob Reiner had what he believed to

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Speaker 1: be some very heavy hitters on this committee to keep

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Speaker 1: people up to date on what was happening with the Trumpster.

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Speaker 1: The Trump Russian collusion narratives has been debunked. The Russians

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Speaker 1: failed to change a single vote tally as to the

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Speaker 1: Russian interfere to help Trump narrative. Director of National Intelligence

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Speaker 1: Tulsea Gabbert stated the President Obama and his national security

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Speaker 1: Cabinet members manufactured and politicized intelligence to lay the groundwork

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Speaker 1: for what was essentially a year's long coup against President Trump,

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Speaker 1: and the Hunter Biden laptop story was not only true,

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Speaker 1: but it also revealed President Joe Biden clearly lied when

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Speaker 1: he denied knowing anything about his son's overseas business dealers.

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Speaker 1: In twenty seventeen, in an interview with Variety, Runn described

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Speaker 1: Trump as quote mentally unfit to serve as commander in

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Speaker 1: chief and called him the single most unqualified human being

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Speaker 1: to ever assume the presidency of the United States. In

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Speaker 1: another interview, Reiner said, I'm going to tell you the truth.

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Speaker 1: You have a complete and utter lying buffoon. He's a fraud.

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Speaker 1: He lies, he cheats people. Everything that comes out of

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Speaker 1: his mouth is virtually a lie. He's a con man,

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Speaker 1: and if you look at what he's done with his

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Speaker 1: career and how he's tricked people into things, it's abhorrent.

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Speaker 1: I never liked George W. Bush his policies, but I

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Speaker 1: didn't hate the guy. I hate this man, and Reiner

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Speaker 1: has been a continuous one stop shop for anti Trump insults.

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Speaker 1: Not only does he not understand this is a Hiner

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Speaker 1: quote here. Not only does he not understand how government works,

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Speaker 1: he has no interest and trying to find out how

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Speaker 1: it works. You have one candidate Trump who actually tells

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Speaker 1: you he's going to govern like an authoritarian. These are

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Speaker 1: again Reiner quotes. Do we want fascism or do we

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Speaker 1: want to continue the two hundred and forty eight years

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Speaker 1: of self rule? Do we want to continue democracy or

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Speaker 1: do we want to slip into fascism. He wants to

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Speaker 1: destroy the constitution, go after his political enemies, and turn

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Speaker 1: America into an autocracy. We see autocracy making us move

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Speaker 1: around the world, and so if we crumble, there's a

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Speaker 1: danger that the democracy crumbles around the world. It's really

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Speaker 1: gotten to a very scary place in this country. Senator

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Speaker 1: John Kennedy of Louisiana struck the right tone when asked

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Speaker 1: about Trump's condemnation of Reiner. Kennedy says, a wise man

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Speaker 1: once said nothing. Why because he's a wise man, I

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Speaker 1: think President Trump should have said nothing. Well, we can

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Speaker 1: all agree on that man. It appears Reiner made no

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Speaker 1: public comment about the Butler, Pennsylvania assassination attempt against Trump,

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Speaker 1: but saying, as Trump did about Reiner, I'm not a

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Speaker 1: fan is a far cry from saying that he hates him.

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Speaker 1: As Reiner said about Trump, the question is whether it's

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Speaker 1: fair and reasonable for Trump to show grace to someone

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Speaker 1: who never offered the slightest bit of grace to him.

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Speaker 1: And that's the writing of Larry Elder. So Rob Reiner

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Speaker 1: went out of his way to speak poorly of Trump,

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Speaker 1: to level false accusations against him, to go down the

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Speaker 1: fascist road, and inuation, go down the Hitler road. And

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Speaker 1: he said, I mean his own words, that he hates him.

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Speaker 1: And so when he's murdered in his own home, unfortunately tragically,

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Speaker 1: Trump all of a sudden is supposed to bend over

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Speaker 1: backwards and say nice things. I know it's ingrained in

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Speaker 1: a lot of us, and including myself, that you do

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Speaker 1: not speak ill of the dead, and I I tend

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Speaker 1: to agree with that. I would have rather that Trump

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Speaker 1: put out no statement at all compared to the one

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Speaker 1: that he did. But when you actually look at what

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Speaker 1: he said, it's fairly tame, fairly simply pointing out some

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Speaker 1: of the facts Trump staying true and really in the

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Speaker 1: in the in the long run, aren't we better off

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Speaker 1: having leadership, especially political leadership, really any kind of leadership,

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Speaker 1: whether it's private business, whether it's your own family, what,

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Speaker 1: any kind of leadership staying true to who they are,

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Speaker 1: being the person they are, instead of changing as the

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Speaker 1: wind blows to accommodate certain people or certain ideas or

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Speaker 1: whatever the fashion of the day. Is better off having

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Speaker 1: someone who's true to themselves, who's true to the people

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Speaker 1: that they're speaking to. So fine, you know you want

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Speaker 1: to take me to task for what I said about

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Speaker 1: Trump's comment, I mean, you're you are more than welcome

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Speaker 1: to and you're more than well welcome to pick up

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Speaker 1: the phone and call me five one, three, seven, four

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Speaker 1: nine seven eight hundred, the Big One. I'll be here

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Speaker 1: till midnight tonight if you would like to do that.

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Speaker 1: But I haven't spoken about it until now, so I

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Speaker 1: just wanted to get that out of the way, and

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Speaker 1: I got tons of other stuff I want to talk

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Speaker 1: about tonight as well, so we will do that as

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Speaker 1: we roll on till midnight tonight. It is the Thursday

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Speaker 1: night edition of the midweek Crisis Dan Carroll till midnight

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Speaker 1: tonight on seven hundred WLW seven hundred WLW nine thirty eight. Hey,

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Speaker 1: Joe Wattell, so can we find any Christmas music to

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Speaker 1: bump in with? Do you have do you have access

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Speaker 1: to any any If do you have some right there?

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Speaker 1: Can we you know, start this breakover again if you

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Speaker 1: find find another selection? You know, maybe some Charlie Brown

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Speaker 1: Christmas music would be great. And you know, I don't

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Speaker 1: know about you, and let me throw this question out there. Well,

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Speaker 1: I'm thinking about it. I'm just I'm not really feeling

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Speaker 1: the Christmas music this year. I mean, usually around this

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Speaker 1: time in the year, I got I've got a couple

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Speaker 1: of different Christmas CDs in my car and I you know,

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Speaker 1: Mike Carr was still I still played the CDs in

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Speaker 1: my car, I got CD player, and uh, just not,

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Speaker 1: I'm just just not into it this year.

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Speaker 2: You know.

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Speaker 1: I'm usually saying some of the FM stations they got

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Speaker 1: all Christmas music all the time, but not so far

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Speaker 1: this year, I haven't done that. Have you found a

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Speaker 1: Christmas election yet? Joe? What we lay something on me?

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Speaker 1: I mean, I I don't know what you have access

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Speaker 1: to in there if you have, if you have something

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Speaker 1: a little christmasy, a little seasonal, you know, lift the

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Speaker 1: mood a little bit. I don't know what that was

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Speaker 1: he bumped in with there, but it didn't sound very

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Speaker 1: Christmas e to me. No, nothing, All right, let's not

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Speaker 1: worry about it. All right, Let's say Greg from Dayton

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Speaker 1: is on the line and we'll see what is on

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Speaker 1: Greg's minds. To Greg, you're on seven hundred w W

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Speaker 1: you guys get a ton of getting a ton of

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Speaker 1: rain up there at dating tonight?

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Speaker 3: Oh yeah, you know, there's nothing that will throw you

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Speaker 3: out of the Christmas smooth then to run be driving

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Speaker 3: through torrential rain and seeing the forty mile an hour

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Speaker 3: wind blowing Santa Reindeer and everything else all over the roads.

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Speaker 1: I was thinking, what if it was still cold like

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Speaker 1: it was last week, whether this be like a blizzard tonight,

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Speaker 1: wouldn't it?

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Speaker 3: Well believe we wouldn't be. We wouldn't be moving to

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Speaker 3: Eastern It'd be terrible. So I don't I don't want

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Speaker 3: to make light of the whole Rob Reiner situation. You know,

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Speaker 3: obviously a tragedy. You never, no matter what side of

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Speaker 3: the fence or the creek or whatever. You don't want

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Speaker 3: to see anything happen like this. That being said, I

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Speaker 3: just I wondered in my mind, how long will it

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Speaker 3: take for somebody with the AI capability to start showing

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Speaker 3: the Archie Bunker clips of Trump's head on Archie Bunker

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Speaker 3: dealing with meathead.

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Speaker 1: That's a good question. I would not be surprised if

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Speaker 1: they if they exist already, I have not seen one yet.

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Speaker 3: I haven't either, but you know, it's coming.

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Speaker 1: Probably it'll probably be out there. I mean, everything else

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Speaker 1: along those kind of lines is out there, So I

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Speaker 1: haven't seen it yet, but I'll keep an eye out

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Speaker 1: for it.

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Speaker 4: Well.

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Speaker 3: And I've seen, you know too obvious sayings that that

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Speaker 3: we can apply to this, you know from the media.

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Speaker 3: You know, don't don't poke the bear. They know what

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Speaker 3: they're doing. They know how to get Trump going. Uh

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Speaker 3: and if you don't want to hear it, then don't ask.

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Speaker 4: But they do.

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Speaker 3: They they this is what motivates them, you know, to

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Speaker 3: to get him going. And secondly, for for Trump, you know,

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Speaker 3: stop taking the bait. There has to be some point

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Speaker 3: that that he can put put his emotions in neutral

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Speaker 3: or or whatever and just stay silent. That would tickle

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Speaker 3: me to death. I'm a Trump supporter, but there are

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Speaker 3: times when he walks to the podium that I cringe

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Speaker 3: because I think, what's he going to say?

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Speaker 5: Now?

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Speaker 1: Man, My sense of it is is that he is

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Speaker 1: actually has been a bit more restrained this time around

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Speaker 1: than he was during his first term.

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Speaker 3: Oh yes, you're exactly right. I'm one in that camp

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Speaker 3: has been able to harness him a little bit.

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Speaker 1: I would imagine Susie Wiles, his chief of staff, has

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Speaker 1: had something to do with that. And I just think

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Speaker 1: he's got overall, he's got better people around him. But

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Speaker 1: look at Trump. Trump, he is who he is. I mean,

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Speaker 1: what what is He's seventy eight years old, seventy nine

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Speaker 1: years old. He is not going he is not going

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Speaker 1: to change. And essentially, all I said was that this

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Speaker 1: is And look, there are a lot of people who

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Speaker 1: immediately came out and said this is wrong. He shouldn't

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Speaker 1: have said that. He you know, it was an apology. Well,

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Speaker 1: I really I don't think any of that that is

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Speaker 1: Trump being it is. It is who he is, and

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Speaker 1: he might have been better off saying nothing at all,

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Speaker 1: but it's it's who he is and all and all

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Speaker 1: he said was he didn't think Rob Reiner was good

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Speaker 1: for the country, and he think Rob Rider had a

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Speaker 1: serious case of TVs, which if you look at what

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Speaker 1: he did, I mean, he was Rob Reiner. He came

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Speaker 1: out and he said he hated Trump, called him a fascist,

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Speaker 1: I mean, all the other stuff, and just when just

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Speaker 1: went down that rabbit hole of repeating stuff and believing

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Speaker 1: stuff that said that simply wasn't true. But Greg, I

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Speaker 1: appreciate the call tonight and the Merry Christmas shirt YouTube Christs.

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Speaker 1: All right, there you go. That's great. From dating. Let's

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Speaker 1: go to West Union. We'll say I haven't talk to

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Speaker 1: Steve in West Union for a little while. Then we

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Speaker 1: got Bradley and Yellow Springs. Steve seven hundred, ww.

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Speaker 2: Dan, how are you.

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Speaker 1: I'm good, Steve. Good to hear your voice.

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Speaker 2: I got a I got a list, Okay, I want

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Speaker 2: to I want to just read it, okay, mare Win

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Speaker 2: and at the end I will get in a summary.

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Speaker 1: Keep it clean, Keep it clean.

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Speaker 2: This is one of the worst years of my entire life.

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Speaker 2: I'm sixty four years old and this year has been

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Speaker 2: absolutely devastated. First, my wife is overcoming breast cats. Yes,

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Speaker 2: I'm disabled, veteran, so I'm kind of house down and

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Speaker 2: all that. All right, So we're getting there. Over that

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Speaker 2: December second, my favorite little girl, Don'gie Day, she died

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Speaker 2: and it's broke my heart. I can barely speak.

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Speaker 1: About it now. I had to put. I had to

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Speaker 1: put a couple of months ago, and it was it

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Speaker 1: was terrible. So I feel you there, brother.

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Speaker 2: Doctor told me I wasn't allowed to have testosterone anymore,

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Speaker 2: and that kind of messes with my whole love life.

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Speaker 2: And I asked him why, and he said, putting testosterone

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Speaker 2: on an issue with your prostate is like putting an

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Speaker 2: ape palm on fire. So I've been going without testosterone

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Speaker 2: when my test ozone level is lower than a girl.

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Speaker 2: So I can't hardly move, oh man, until they figure

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Speaker 2: it out, and then maybe with a little luck, I'll

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Speaker 2: get it. My son has decided to divorce his wife

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Speaker 2: for ten years. They lived two blocks down the road.

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Speaker 1: Oh boy.

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Speaker 2: I moved here to help them succeed, and all I

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Speaker 2: did was get burned a little bit. I love my son.

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Speaker 2: He's a good kid. He's a firefighter. He's actually saved

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Speaker 2: brad Winstrop's family a couple of times. But Anyway, he's

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Speaker 2: a good kid. He found he's true and now we're

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Speaker 2: dealing with that. He spends most of his time in Harrison, Ohio,

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Speaker 2: wherever the hell that is, and she is down the

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Speaker 2: block from me. Now, I've got a few other things

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Speaker 2: that I don't want to, you know, go overboard.

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Speaker 1: I was going to say, we get to the point

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Speaker 1: of this, Steve, what's the point of all this?

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Speaker 4: Is?

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Speaker 5: IM better?

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Speaker 2: It's Christmas. I have a I have a good heart.

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Speaker 2: I've done the best I can. And everybody out there

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Speaker 2: with troubles, uh, sometimes your troubles aren't as big as

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Speaker 2: your troubles you think. And and if you just trust

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Speaker 2: in the true meaning of Christmas, it'll all be okay.

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Speaker 1: Steve. But that is ah, that is a good outlook.

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Speaker 1: I uh. I sympathize with you for your the hardships

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Speaker 1: that you've had this year. I wish you nothing but

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Speaker 1: the best. I thank you for your service. Gotta get better,

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Speaker 1: gotta get better. You gotta gotta gotta gotta keep gotta

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Speaker 1: keep looking up and Steve, uh, and we thank you

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Speaker 1: very much for that call. So Steve is having his difficulties,

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Speaker 1: but he is going to choose to look at the

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Speaker 1: at the re and for the season. So I think

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Speaker 1: that's a that's a good idea. Let's go to Yellow Springs.

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Speaker 1: And this is Bradley Bradley seven hundred w w Hey,

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Speaker 1: how you doing. I'm good. I'm good, Bradley? How are

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Speaker 1: you tonight?

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Speaker 6: I'm doing all right? Yeah, that was a hard one

387
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Speaker 6: to follow. I just want to wish that Steve gentlemen,

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Speaker 6: you know, good vibes. I guess is like, I don't

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Speaker 6: really know what to say to that. That was a

390
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Speaker 6: hard one to come up on.

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Speaker 1: He's had He's had his share this year, so probably

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Speaker 1: more than his more than his share. So that's life.

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Speaker 1: Ain't always fair?

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Speaker 3: Brother?

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Speaker 6: You know the one thing I wanted to comment about

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Speaker 6: tonight and I've never called in, but I listen. Uh

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Speaker 6: is it? I know you have a video or audio

398
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Speaker 6: of things that he has said about Uh isn't it Trump?

399
00:27:03,000 --> 00:27:07,200
Speaker 6: But have you and I know your producer does has

400
00:27:07,240 --> 00:27:12,760
Speaker 6: the audio of what mister Reiner said when Charlie cook

401
00:27:13,680 --> 00:27:14,720
Speaker 6: Kirk was killed.

402
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Speaker 1: And how I don't think that. I don't I don't

403
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Speaker 1: recall making any any any statement or certainly not a

404
00:27:24,040 --> 00:27:29,480
Speaker 1: negative statement about Charlie Klie.

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Speaker 6: Well when he was a siding and you made it

406
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Speaker 6: very positive and and I mean just heartfelt that you know,

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Speaker 6: political violence is wrong.

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Speaker 1: You're right, You're right, that's yeah. When Charlie Kirk was killed, Yes,

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Speaker 1: Rob Ryder did say that he was I mean, he

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Speaker 1: was being interviewed on the Peers Morgan Show. Okay, yeah,

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Speaker 1: he talked about you know, he's and what he said

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Speaker 1: was paraphrasing here is that I don't care what side

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Speaker 1: of the political isol you're on. You know, this this

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Speaker 1: sort of let's say it's wrong. He called he called

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Speaker 1: it out. He said, he said it was wrong, and

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Speaker 1: uh he Uh. I think his words were very very

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Speaker 1: well taken at that point.

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Speaker 6: I agree, sir, But I just think that the way

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Speaker 6: the president handled the other side of it was a

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Speaker 6: bit classless. Uh yeah, the level of the presidency. I

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Speaker 6: don't believe you.

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Speaker 1: Can say that it was it was not. It was

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Speaker 1: not his best moment. But then again, he didn't come

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Speaker 1: out and he did he didn't say that he hated

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Speaker 1: Rob Reiner. He did, he didn't really speak ill of him.

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Speaker 1: He said he was not a Rob Reiner fan. And

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Speaker 1: then and that is simply the truth. And you know,

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Speaker 1: he said based on the things that Rob Reiner did

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Speaker 1: during the course of his life, in the course of

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Speaker 1: trumpeting in the in the Oval office, and he said

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Speaker 1: he didn't think Rober.

432
00:28:52,880 --> 00:28:58,000
Speaker 6: We all have a right to criticize the president and

433
00:28:58,080 --> 00:29:01,160
Speaker 6: it's not like illegal, pretty thing.

434
00:29:02,480 --> 00:29:05,480
Speaker 1: No, that's fine. No, criticize the president all you want,

435
00:29:06,120 --> 00:29:08,000
Speaker 1: but if you're gonna do it, at least try to

436
00:29:08,000 --> 00:29:11,560
Speaker 1: be at least try to be factual in your criticism.

437
00:29:12,400 --> 00:29:13,640
Speaker 6: I can understand that.

438
00:29:14,040 --> 00:29:15,480
Speaker 3: And then look, you.

439
00:29:15,440 --> 00:29:20,800
Speaker 1: Know, talking about the Russian collusion, talking about being a fascist, comparing.

440
00:29:22,040 --> 00:29:24,360
Speaker 6: Those are words that people throw around. But I mean

441
00:29:24,400 --> 00:29:28,160
Speaker 6: he's like, he's so mad at just like the late

442
00:29:28,240 --> 00:29:32,200
Speaker 6: night talk show hosts that literally just are throwing comedy

443
00:29:32,280 --> 00:29:36,960
Speaker 6: around about him, and it just drives him.

444
00:29:38,040 --> 00:29:43,960
Speaker 1: Well. I mean, one of the what's up do you find?

445
00:29:43,600 --> 00:29:43,640
Speaker 2: You?

446
00:29:43,840 --> 00:29:44,720
Speaker 5: Did you find.

447
00:29:48,200 --> 00:29:52,760
Speaker 6: On the President's Walk of you Gotta you Gotta he

448
00:29:53,320 --> 00:29:58,040
Speaker 6: wrote them himself and like you got you got a

449
00:29:58,160 --> 00:30:00,600
Speaker 6: bit of somebody. I don't understand the way you would

450
00:30:00,640 --> 00:30:03,400
Speaker 6: put it in bronze and the picture.

451
00:30:03,640 --> 00:30:07,080
Speaker 1: Yeah, I saw those, I saw. I know what you're

452
00:30:07,080 --> 00:30:07,680
Speaker 1: talking about.

453
00:30:08,360 --> 00:30:10,959
Speaker 6: Actually, I meant to talk about you know, I just

454
00:30:10,960 --> 00:30:13,440
Speaker 6: want to make that Clayer to you man, I meant

455
00:30:13,440 --> 00:30:14,280
Speaker 6: to talk about those.

456
00:30:15,080 --> 00:30:15,360
Speaker 7: Wow.

457
00:30:15,720 --> 00:30:16,360
Speaker 6: What the heck?

458
00:30:17,080 --> 00:30:20,400
Speaker 1: But Bradley, I appreciate the phone call, and Merry Christmas.

459
00:30:19,960 --> 00:30:22,120
Speaker 6: To you, you too, brother.

460
00:30:22,960 --> 00:30:26,600
Speaker 1: Year all right, Happy New Year, Bradley and Yellow Spring. Now,

461
00:30:26,600 --> 00:30:28,840
Speaker 1: if you haven't heard about this. At the White House,

462
00:30:30,120 --> 00:30:34,840
Speaker 1: there are a series of presidential portraits and underneath those

463
00:30:34,880 --> 00:30:42,200
Speaker 1: presidential portraits, Donald Trump has posted his own captions underneath

464
00:30:42,200 --> 00:30:46,000
Speaker 1: those presidential portraits. And let me see I had that.

465
00:30:47,000 --> 00:30:48,600
Speaker 1: Let me see if I can find this real quick,

466
00:30:49,040 --> 00:30:50,840
Speaker 1: because I know I had it last night, but I

467
00:30:51,600 --> 00:30:55,640
Speaker 1: ran out of time to talk about it. And he uh,

468
00:30:56,320 --> 00:31:00,600
Speaker 1: I mean, he's got Wayne Allen Root to piece and

469
00:31:00,600 --> 00:31:05,760
Speaker 1: I've got that talking about the portrait of Obama, and

470
00:31:05,800 --> 00:31:08,600
Speaker 1: Wayne Allen Root says that Trump was not hard enough

471
00:31:08,640 --> 00:31:14,720
Speaker 1: on Obama. And then he and under one of the

472
00:31:14,760 --> 00:31:17,240
Speaker 1: portraits it you know, it talks about and and the

473
00:31:17,320 --> 00:31:20,160
Speaker 1: and the and the The captions that he put underneath

474
00:31:21,400 --> 00:31:27,000
Speaker 1: are they look like these plaques you see on historical markers.

475
00:31:27,720 --> 00:31:32,200
Speaker 1: So it's it's really kind of you guy. If you

476
00:31:32,320 --> 00:31:34,240
Speaker 1: haven't seen him yet, you got to look him up.

477
00:31:35,320 --> 00:31:39,080
Speaker 1: You got to see him. Let's see. Yeah, So under

478
00:31:39,120 --> 00:31:41,960
Speaker 1: the picture of Joe Biden. I guess he you know,

479
00:31:42,040 --> 00:31:44,280
Speaker 1: he's still got the picture of the auto pen. Let

480
00:31:44,280 --> 00:31:46,560
Speaker 1: me see, I think he's still got the picture of

481
00:31:46,560 --> 00:31:54,800
Speaker 1: the autopen for for Joe Biden. And here's what he wrote, uh,

482
00:31:55,040 --> 00:31:57,800
Speaker 1: and underneath it read sleepy. Joe Biden was by far

483
00:31:58,680 --> 00:32:01,360
Speaker 1: the worst president in a Mayora and history. Taking office

484
00:32:01,360 --> 00:32:03,520
Speaker 1: as a result of the most corrupt election ever seen

485
00:32:03,560 --> 00:32:09,480
Speaker 1: in the United States, Biden oversaw a series of unprecedented

486
00:32:09,520 --> 00:32:11,920
Speaker 1: disasters that brought on nation to the brink of destruction.

487
00:32:12,520 --> 00:32:16,600
Speaker 1: His policies caused the highest inflation ever recorded, leading the

488
00:32:16,680 --> 00:32:18,840
Speaker 1: US dollar to lose more than twenty percent of its

489
00:32:18,880 --> 00:32:22,520
Speaker 1: value in four years. His Green News scam surrendered American

490
00:32:22,920 --> 00:32:26,520
Speaker 1: energy dominance, and by abolishing the Southern border, Biden let

491
00:32:26,560 --> 00:32:29,240
Speaker 1: twenty one million people in from all over the world

492
00:32:29,520 --> 00:32:33,360
Speaker 1: pour into the United States, including from prisons, jail's, mental institutions,

493
00:32:33,720 --> 00:32:37,680
Speaker 1: and insane asylums. His Afghanistan disaster was among the most

494
00:32:37,760 --> 00:32:41,320
Speaker 1: humiliating events in American history and resulted in the murder

495
00:32:41,360 --> 00:32:45,800
Speaker 1: of thirteen brave American service members, with many others gravely wounded.

496
00:32:46,480 --> 00:32:51,240
Speaker 1: Seeing Biden's devastating weakness, Russia invaded Ukraine and Hamas terrorists

497
00:32:51,280 --> 00:32:55,280
Speaker 1: launched the heinous October seventh attack on Israel. Nicknamed both

498
00:32:55,320 --> 00:32:58,720
Speaker 1: Sleepy and Crooked, Joe, Biden was dominated by his radical

499
00:32:58,800 --> 00:33:01,800
Speaker 1: left handlers. They and their allies in the fake news

500
00:33:01,880 --> 00:33:05,200
Speaker 1: media attempted to cover up his severe mental decline and

501
00:33:05,320 --> 00:33:09,440
Speaker 1: is unprinted unprecedented use of the auto pen. Following is

502
00:33:09,520 --> 00:33:13,760
Speaker 1: humiliating debate loss to President Trump in the Big June

503
00:33:13,760 --> 00:33:17,040
Speaker 1: twenty four debate, he was forced to withdraw his campaign

504
00:33:17,440 --> 00:33:22,040
Speaker 1: for re election in disgrace. Biden weaponized law enforcement against

505
00:33:22,040 --> 00:33:25,880
Speaker 1: his political opponent while also persecuting many other innocent people.

506
00:33:26,840 --> 00:33:30,600
Speaker 1: He left office issuing blanket pardons to radical Democrat criminals

507
00:33:30,600 --> 00:33:33,960
Speaker 1: and thugs, as well as members of the Biden crime family.

508
00:33:34,360 --> 00:33:38,120
Speaker 1: But despite it all, President Trump would get re elected

509
00:33:38,160 --> 00:33:43,000
Speaker 1: in a landslide and save America. And that's the caption

510
00:33:44,000 --> 00:33:48,920
Speaker 1: that you'll find under the Biden auto pen portrait at

511
00:33:48,920 --> 00:33:52,480
Speaker 1: the Wall of Fame, next to the rose Guard and

512
00:33:52,600 --> 00:33:57,240
Speaker 1: the other ones for a Clinton and who else I

513
00:33:57,280 --> 00:34:02,880
Speaker 1: think he's got Clinton, Reagan Bush equally entertaining nine to

514
00:34:02,880 --> 00:34:04,320
Speaker 1: fifty five. We got to get to a break news

515
00:34:04,400 --> 00:34:20,640
Speaker 1: coming up top of the on seven hundred WLW back

516
00:34:20,680 --> 00:34:23,839
Speaker 1: on the Big One, seven hundred WLW, Dan Carroll till

517
00:34:23,880 --> 00:34:28,440
Speaker 1: midnight tonight the Thursday night edition on the Midway crisis

518
00:34:29,560 --> 00:34:32,040
Speaker 1: and UH the phone lines are open five one three

519
00:34:33,640 --> 00:34:36,040
Speaker 1: under the Big One, having trouble reaching our guests Joe Hoft,

520
00:34:37,000 --> 00:34:39,920
Speaker 1: Joe Hoft of the UH, formerly of the Gateway Pundit,

521
00:34:39,960 --> 00:34:43,080
Speaker 1: now of Joe Hooff dot com. Guy does a great

522
00:34:43,160 --> 00:34:47,200
Speaker 1: job reporting the different stories. And I was gonna ask

523
00:34:47,280 --> 00:34:52,960
Speaker 1: him about UH the UH. The Colorado Governor Tina peters

524
00:34:53,920 --> 00:34:57,719
Speaker 1: Don Donald Trump pardoned her last week. She went to

525
00:34:57,800 --> 00:35:02,719
Speaker 1: jail for pointing out some election misdeeds that she that

526
00:35:02,840 --> 00:35:06,040
Speaker 1: she discovered. So we're going to try and reach Joe

527
00:35:06,080 --> 00:35:09,759
Speaker 1: Hoft and see if we can't. If we can't get

528
00:35:09,800 --> 00:35:11,400
Speaker 1: him on the show in the meantime, then let's go

529
00:35:11,440 --> 00:35:13,840
Speaker 1: to Florida. We'll say hey to Jeff, who's been on

530
00:35:13,880 --> 00:35:15,680
Speaker 1: hold for a little while. And Jeff, you're on seven

531
00:35:15,760 --> 00:35:16,799
Speaker 1: hundred WLW.

532
00:35:17,920 --> 00:35:21,640
Speaker 5: Hey, Dan, you're worth listening to, buddy. Thanks for taking

533
00:35:21,680 --> 00:35:22,120
Speaker 5: my call.

534
00:35:22,320 --> 00:35:24,759
Speaker 1: All right, well, thank you thanks for calling.

535
00:35:26,160 --> 00:35:29,879
Speaker 5: No problem. You're talking about all these bad things. Let's

536
00:35:29,960 --> 00:35:34,719
Speaker 5: let's get real recent. Are you aware today that I

537
00:35:34,719 --> 00:35:37,000
Speaker 5: don't know if it was the Senate or the House,

538
00:35:38,560 --> 00:35:42,720
Speaker 5: two hundred and thirty or two hundred and three Democrats

539
00:35:43,600 --> 00:35:49,080
Speaker 5: voted against a bill that was passed, thank goodness, that

540
00:35:49,239 --> 00:35:56,719
Speaker 5: will revoke Medicare Medicaid funding for butcher doctors that want

541
00:35:56,719 --> 00:35:59,520
Speaker 5: to cut some little kit up that's ten and eleven

542
00:35:59,560 --> 00:36:02,799
Speaker 5: and twelve years old. Whatever that he or she may think,

543
00:36:02,840 --> 00:36:07,360
Speaker 5: he's not what he or she is. What's your opinion

544
00:36:07,400 --> 00:36:08,359
Speaker 5: about that, old bud.

545
00:36:08,920 --> 00:36:10,719
Speaker 1: I've got it. I've got it here right in front

546
00:36:10,719 --> 00:36:15,120
Speaker 1: of me that it was. It was actually Marjorie. It

547
00:36:15,160 --> 00:36:19,520
Speaker 1: was actually Marjorie Taylor Green who sponsored this bill, this bill,

548
00:36:20,200 --> 00:36:26,279
Speaker 1: and uh it's uh, she got one last victory. The

549
00:36:26,320 --> 00:36:30,160
Speaker 1: House voted Wednesday last night to pass Green's bill. It

550
00:36:30,280 --> 00:36:35,920
Speaker 1: criminalizes child sex change procedures nationwide. And there were four

551
00:36:35,960 --> 00:36:42,760
Speaker 1: House Republicans that voted against this bill, Henry Weller, Vincent

552
00:36:42,840 --> 00:36:49,919
Speaker 1: Gonzalez of Texas, Don Davis of North Carolina. So you've

553
00:36:49,920 --> 00:36:52,399
Speaker 1: got well of those were those were the Democrats who

554
00:36:52,400 --> 00:36:56,680
Speaker 1: actually supported, uh, this this bill by Green. Yeah, but

555
00:36:57,480 --> 00:37:01,520
Speaker 1: you know, the look, the whole thing about protecting children

556
00:37:02,280 --> 00:37:05,319
Speaker 1: when it comes to these procedures, and not only that

557
00:37:06,400 --> 00:37:12,080
Speaker 1: but health and human services. Uh. But it was Robert

558
00:37:12,160 --> 00:37:18,000
Speaker 1: Kennedy today announced a series of proposed regulatory actions to

559
00:37:18,120 --> 00:37:21,360
Speaker 1: carry out Donald Trump's executive order directing Health and Human

560
00:37:21,400 --> 00:37:26,480
Speaker 1: Services to end the practice of sex rejecting procedures on kids.

561
00:37:27,080 --> 00:37:30,400
Speaker 1: So this whole notion, and you know, you've got the

562
00:37:30,440 --> 00:37:34,520
Speaker 1: American Academy of Pediatrics, and you've got all these influencers,

563
00:37:34,560 --> 00:37:40,279
Speaker 1: and you know, all these transtrans activists who call this

564
00:37:40,480 --> 00:37:46,480
Speaker 1: gender affirming care. And the previous yeah, the previous Undersecretary

565
00:37:46,960 --> 00:37:49,680
Speaker 1: of Health and Human Services that we had, Rachel Levin,

566
00:37:50,560 --> 00:37:53,239
Speaker 1: and she had all been out of shape because her

567
00:37:53,280 --> 00:37:55,720
Speaker 1: real name is you know, his real name is Richard.

568
00:37:56,280 --> 00:37:59,960
Speaker 1: And last week Trump put not Trump, but who's ever

569
00:38:00,080 --> 00:38:03,759
Speaker 1: in charge of Kennedy the Health of Human Services. They

570
00:38:03,760 --> 00:38:09,080
Speaker 1: put Richard's Levin name underneath the portrait over there at

571
00:38:09,080 --> 00:38:12,480
Speaker 1: the over there at the agency. And so Levin got

572
00:38:12,520 --> 00:38:15,800
Speaker 1: all bent out of shape about it. And I reminded people,

573
00:38:16,280 --> 00:38:20,320
Speaker 1: you know what Rachel Levin stood for. And Rachel Levin

574
00:38:21,000 --> 00:38:22,960
Speaker 1: went in front of the American people and said that

575
00:38:23,040 --> 00:38:27,480
Speaker 1: these surgeries are necessary, that they save lives, that kids needed.

576
00:38:27,560 --> 00:38:28,200
Speaker 5: A liar.

577
00:38:28,520 --> 00:38:32,239
Speaker 1: Of course, she's a liar, and she's a she's a

578
00:38:32,360 --> 00:38:33,440
Speaker 1: danger to kids.

579
00:38:33,680 --> 00:38:38,200
Speaker 5: Okay, just hold on that old body. I've got a background.

580
00:38:38,280 --> 00:38:44,040
Speaker 5: I understand the effects of physiological and psychological trauma on people.

581
00:38:44,080 --> 00:38:47,680
Speaker 5: I was well trained in the army. Okay, now you

582
00:38:47,880 --> 00:38:51,080
Speaker 5: can't tell me get somebody to look you in the

583
00:38:51,120 --> 00:38:56,400
Speaker 5: eye and go, oh yeah. A doctor cutting on a ten, eleven,

584
00:38:56,480 --> 00:39:00,440
Speaker 5: twelve year old kid that probably needs a psychia trists

585
00:39:02,360 --> 00:39:07,600
Speaker 5: is not violating the Hippocratics. I mean, it's common sense

586
00:39:07,800 --> 00:39:10,560
Speaker 5: that the you know, the last thing you want to

587
00:39:10,600 --> 00:39:14,440
Speaker 5: do is open somebody up. Okay, a lot of things

588
00:39:14,480 --> 00:39:18,960
Speaker 5: can go wrong. You don't do invasive stuff unless it's

589
00:39:19,000 --> 00:39:24,600
Speaker 5: extremely necessary. I know that from watching surgeons and getting

590
00:39:24,640 --> 00:39:27,520
Speaker 5: cut on a lot. But my point is, how in

591
00:39:27,600 --> 00:39:33,000
Speaker 5: the world could any doctor look anything in the eye

592
00:39:33,120 --> 00:39:36,400
Speaker 5: when he's taking the Hippocratic oath, which is first do

593
00:39:36,760 --> 00:39:39,720
Speaker 5: no harm, and he's going to cut on a little kid.

594
00:39:40,200 --> 00:39:43,120
Speaker 5: That's the solution. That's a bunch of baloney. You know what,

595
00:39:43,480 --> 00:39:45,200
Speaker 5: thought I was pretty good. I didn't curse.

596
00:39:45,360 --> 00:39:48,400
Speaker 1: I've talked about this subject for years now, and I

597
00:39:48,520 --> 00:39:53,000
Speaker 1: have from the very beginning. I asked myself the same question,

598
00:39:53,080 --> 00:39:57,279
Speaker 1: How can anyone who calls himself a doctor actually go

599
00:39:57,400 --> 00:40:00,799
Speaker 1: through with a procedure like this, and one of the

600
00:40:00,800 --> 00:40:04,279
Speaker 1: best examples that I ever saw, one of the best

601
00:40:04,360 --> 00:40:08,759
Speaker 1: questions that's ever come up on this issue that if

602
00:40:08,880 --> 00:40:12,600
Speaker 1: if you're a doctor, it's different. You can look at

603
00:40:12,640 --> 00:40:15,040
Speaker 1: you can look at a human body and you can

604
00:40:15,040 --> 00:40:17,840
Speaker 1: see if there's cancer in there, you can see a tumor,

605
00:40:17,960 --> 00:40:22,239
Speaker 1: you can see, you know, a broken bone, and you

606
00:40:22,400 --> 00:40:25,920
Speaker 1: know that if nothing is done, then that cancer is

607
00:40:26,000 --> 00:40:28,120
Speaker 1: just going to get worse. That broken bone is not

608
00:40:28,200 --> 00:40:31,240
Speaker 1: going to heal itself, and so that sort of intervention

609
00:40:31,400 --> 00:40:34,440
Speaker 1: is needed. But when it comes to a procedure like this,

610
00:40:35,520 --> 00:40:40,160
Speaker 1: if if that, if you do nothing, if you do nothing,

611
00:40:40,600 --> 00:40:43,719
Speaker 1: what harm is done to the body? Absolutely, and.

612
00:40:45,440 --> 00:40:48,080
Speaker 5: So well, I tell you oil old, but just hold on, man.

613
00:40:48,640 --> 00:40:54,000
Speaker 5: I appreciate you having the hanging down things to voice

614
00:40:54,000 --> 00:40:56,239
Speaker 5: your opinion. I'm sure a lot of people think you're

615
00:40:56,320 --> 00:40:58,960
Speaker 5: goofy or in a box of rocks, but I tell

616
00:40:58,960 --> 00:41:00,880
Speaker 5: you what, I believe there's a lot more people to

617
00:41:01,000 --> 00:41:03,680
Speaker 5: think you're a pretty sharp guy. So God bless you

618
00:41:03,719 --> 00:41:05,239
Speaker 5: and take your next call or all that good.

619
00:41:05,280 --> 00:41:06,880
Speaker 1: So, Jef, thank you very much for the call. I

620
00:41:06,960 --> 00:41:09,319
Speaker 1: appreciate I hate that and no people that listen to

621
00:41:09,320 --> 00:41:11,440
Speaker 1: this show. They know I've been talking about this subject

622
00:41:11,440 --> 00:41:17,279
Speaker 1: for years, and thank god for Kennedy, and well you

623
00:41:17,280 --> 00:41:21,839
Speaker 1: had Marjorie Taylor Green who got this motion passed last night.

624
00:41:21,840 --> 00:41:23,480
Speaker 1: I don't know if it's what it's going to do

625
00:41:23,520 --> 00:41:28,520
Speaker 1: in the in the Senate, but today, you know, you

626
00:41:28,600 --> 00:41:36,399
Speaker 1: had Kennedy moved to create these regulatory actions that would

627
00:41:36,400 --> 00:41:42,200
Speaker 1: prevent these procedures from taking praise the sweeping proposals are

628
00:41:42,239 --> 00:41:45,000
Speaker 1: the most significant moves the Trump administration has taken so

629
00:41:45,120 --> 00:41:49,320
Speaker 1: far to restrict the use of puberty blockers, hormone therapy,

630
00:41:49,360 --> 00:41:55,200
Speaker 1: and surgical interventions for transgender children. He called so called

631
00:41:55,280 --> 00:42:00,359
Speaker 1: gender affirming care for children not medicine, but malpractice. He said,

632
00:42:00,480 --> 00:42:05,520
Speaker 1: HHS is done with junk science, driven by ideological pursuits,

633
00:42:06,600 --> 00:42:10,319
Speaker 1: not the well being of children. Kennedy said the moves

634
00:42:10,360 --> 00:42:13,280
Speaker 1: are guided by the gold Standards of science and anchored

635
00:42:13,280 --> 00:42:18,280
Speaker 1: in HHS peer reviewed a peer reviewed review of evidence

636
00:42:18,320 --> 00:42:23,279
Speaker 1: that the department published last month on pediatric gender dysphoria.

637
00:42:24,920 --> 00:42:28,320
Speaker 1: According to Health and Human Services, the department's actions include

638
00:42:28,400 --> 00:42:33,520
Speaker 1: two news centers for Medicare and Medicaid services, notices of

639
00:42:33,600 --> 00:42:39,160
Speaker 1: proposed rulemaking, one proposal with bar hospitals participating in Medicare

640
00:42:39,239 --> 00:42:44,680
Speaker 1: and Medicaid from performing sex rejection procedures on children under

641
00:42:44,719 --> 00:42:50,120
Speaker 1: the age of eighteen as a condition of participation. A

642
00:42:50,160 --> 00:42:54,640
Speaker 1: second proposal would prohibit federal Medicaid funding for such procedures

643
00:42:54,640 --> 00:42:58,719
Speaker 1: for those under eighteen, and would apply similarly similarly to

644
00:42:59,000 --> 00:43:03,200
Speaker 1: the Children's Health and Insurance Program for individuals under nineteen.

645
00:43:04,680 --> 00:43:08,480
Speaker 1: Press release said Kennedy signed a declaration finding these interventions

646
00:43:08,520 --> 00:43:14,640
Speaker 1: do not meet professionally recognize standards of healthcare, with practitioners

647
00:43:14,680 --> 00:43:21,120
Speaker 1: deemed out of compliance under that declaration. HHS further announced

648
00:43:21,160 --> 00:43:23,960
Speaker 1: that Food and Drug Administration is issuing warning letters to

649
00:43:24,000 --> 00:43:29,360
Speaker 1: twelve manufacturers and retailers over the illegal marketing of breast

650
00:43:29,560 --> 00:43:33,840
Speaker 1: binders to children for the purpose of treating gender dysphoria,

651
00:43:33,960 --> 00:43:38,880
Speaker 1: warning of possible enforcement actions. In addition, HHS said it

652
00:43:38,960 --> 00:43:42,920
Speaker 1: is moving to reverse a biden ear attempt to include

653
00:43:43,000 --> 00:43:46,520
Speaker 1: gender dysphoria within the definition of disability under section five

654
00:43:46,600 --> 00:43:51,520
Speaker 1: oh four of the Rehabilitation Act, seeking to reassure recipients

655
00:43:51,560 --> 00:43:55,680
Speaker 1: of HHS funds that policies limiting these procedures do not

656
00:43:55,840 --> 00:44:01,399
Speaker 1: violate federal disability non demonstration, demonstration, non discrimination, and requirements.

657
00:44:03,560 --> 00:44:10,000
Speaker 1: So Trump put out an executive order, and now these

658
00:44:10,080 --> 00:44:16,920
Speaker 1: regulatory tools are expected to aid in that order being

659
00:44:17,040 --> 00:44:25,680
Speaker 1: carried out. Let's see Thursday's announcement in perils access to

660
00:44:25,719 --> 00:44:28,680
Speaker 1: nearly two dozen states where drug treatments and surgical procedures

661
00:44:28,680 --> 00:44:33,320
Speaker 1: are mainly legal and funded by Medicaid, which includes federal

662
00:44:34,200 --> 00:44:37,560
Speaker 1: and state dollars. More than half of the US state's

663
00:44:37,600 --> 00:44:43,719
Speaker 1: already banned or restrict gender changing care. And the word

664
00:44:43,800 --> 00:44:47,080
Speaker 1: care should not be used with that because it is.

665
00:44:47,719 --> 00:44:53,640
Speaker 1: It's butchery. I mean, it really is. Let's see, and

666
00:44:53,680 --> 00:44:56,720
Speaker 1: then you've got this bill that was passed by Marjorie Taylor.

667
00:44:56,760 --> 00:45:03,360
Speaker 1: Green House voted Wednesday to pass greens bill criminalizing child

668
00:45:03,480 --> 00:45:11,880
Speaker 1: sex change procedures nationwide four Republicans. The four Republicans voted

669
00:45:11,880 --> 00:45:16,839
Speaker 1: against the bill are Gabe Evans of Colorado, Brian Fitzpatrick

670
00:45:16,880 --> 00:45:21,040
Speaker 1: of Pennsylvania, Mike Kennedy of Utah, and Mike Lawler of

671
00:45:21,080 --> 00:45:27,520
Speaker 1: New York. Green's bill, the Protect Children's Innocence Act, would

672
00:45:27,560 --> 00:45:30,200
Speaker 1: make it a Class C felony to perform child sex

673
00:45:30,280 --> 00:45:34,879
Speaker 1: change procedures and often an offense punishable up to ten

674
00:45:35,000 --> 00:45:38,600
Speaker 1: years in prison. Parents and those who assist minors in

675
00:45:38,640 --> 00:45:42,480
Speaker 1: gaining access to sex change procedures would also be subject

676
00:45:42,480 --> 00:45:47,280
Speaker 1: to punishment. The vote mark the first time legislation banning

677
00:45:47,320 --> 00:45:51,719
Speaker 1: puberty blockers, hormones, and surgeries for miners seeking to alter

678
00:45:51,880 --> 00:45:58,320
Speaker 1: their biological sex reach the House floor. Republicans showed today

679
00:45:58,360 --> 00:46:01,719
Speaker 1: they are as committed to detecting children as Democrats are

680
00:46:01,760 --> 00:46:06,280
Speaker 1: to disfiguring them, said Terry Shilling, president of the American

681
00:46:06,320 --> 00:46:10,759
Speaker 1: Principles Project. Democrats have been captured by an ideology that

682
00:46:10,880 --> 00:46:14,839
Speaker 1: is poisonous, that is as poisonous as it is profitable.

683
00:46:16,320 --> 00:46:18,880
Speaker 1: Green has sought to enact a nationwide ban on child

684
00:46:18,880 --> 00:46:23,680
Speaker 1: sex changes since twenty twenty two, but a floor vote

685
00:46:23,680 --> 00:46:26,560
Speaker 1: on her legislation has been elusive for a long time.

686
00:46:29,120 --> 00:46:35,560
Speaker 1: And so finally you've got people in Congress, and well,

687
00:46:35,560 --> 00:46:40,600
Speaker 1: Marjorie keep Taylor Green is leaving Congress, but you've got

688
00:46:40,600 --> 00:46:45,359
Speaker 1: people in Congress who are standing up against this sort

689
00:46:45,400 --> 00:46:49,400
Speaker 1: of butchery. It is. It is just an absolute shame

690
00:46:50,840 --> 00:46:53,440
Speaker 1: that this sort of thing exists in the United States.

691
00:46:55,080 --> 00:46:59,400
Speaker 1: But thanks to this administration, steps are being taken to

692
00:46:59,680 --> 00:47:04,360
Speaker 1: make sure that it never happens again. And all you

693
00:47:04,400 --> 00:47:07,440
Speaker 1: have to do is look at the pictures look at

694
00:47:07,480 --> 00:47:14,000
Speaker 1: the individuals who have been mutilated by these procedures, and

695
00:47:14,040 --> 00:47:16,959
Speaker 1: you look at that. And I have said it again

696
00:47:17,080 --> 00:47:19,279
Speaker 1: time and time again. You know what is wholesome or

697
00:47:19,360 --> 00:47:24,120
Speaker 1: uplifting or good about any of that? It's absolutely none

698
00:47:24,160 --> 00:47:30,600
Speaker 1: of it. You know, Are there kids who have difficulties

699
00:47:30,600 --> 00:47:32,600
Speaker 1: with this? Are the kids who are suffering with these

700
00:47:32,840 --> 00:47:38,480
Speaker 1: sort of ideations? Absolutely? But is the answer to acquiesce

701
00:47:38,600 --> 00:47:46,000
Speaker 1: to their to their thoughts that were most likely implanted

702
00:47:46,040 --> 00:47:54,040
Speaker 1: in their heads by activists, by individuals who for whatever

703
00:47:54,120 --> 00:47:59,080
Speaker 1: reason I want to see kids go through this sort

704
00:47:59,080 --> 00:48:03,760
Speaker 1: of thing? Is that? Is that the best way forward

705
00:48:04,120 --> 00:48:07,399
Speaker 1: dealing with these sorts of things. None of these kids

706
00:48:07,440 --> 00:48:11,200
Speaker 1: need compassion, They need real care. They need help with

707
00:48:11,239 --> 00:48:14,120
Speaker 1: what is going on between their ears, not between their legs.

708
00:48:17,440 --> 00:48:23,600
Speaker 1: Let's see the let me see what I mean. The

709
00:48:23,640 --> 00:48:29,439
Speaker 1: I mean. The thing is, you know when when these

710
00:48:29,520 --> 00:48:35,880
Speaker 1: kids come down with this kind of stuff, I mean,

711
00:48:36,360 --> 00:48:40,880
Speaker 1: it's you know, the kids, they aren't The vast majority

712
00:48:40,920 --> 00:48:47,160
Speaker 1: of these kids outgrow this. Advocates are transgender. This piece

713
00:48:47,200 --> 00:48:51,440
Speaker 1: by Tyler O'Neill in The Daily Signal. Advocates are transgender

714
00:48:51,480 --> 00:48:55,439
Speaker 1: medical interventions euphemistically refer to it as gender affirming care

715
00:48:55,600 --> 00:48:59,680
Speaker 1: often seek to silence critics rather than engage in a

716
00:48:59,719 --> 00:49:04,080
Speaker 1: debate on the science. One of the authors of the

717
00:49:04,239 --> 00:49:06,480
Speaker 1: Health and Human Services report on the issue says he

718
00:49:06,520 --> 00:49:10,160
Speaker 1: thinks he knows why. Health and Human Services published a

719
00:49:10,200 --> 00:49:13,279
Speaker 1: review of the evidence regarding medical transitions from minors back

720
00:49:13,320 --> 00:49:18,200
Speaker 1: in May, finding extremely weak evidence for any benefits from

721
00:49:18,320 --> 00:49:23,440
Speaker 1: gender affirming care. HHS sought peer reviews, submitting its report

722
00:49:24,120 --> 00:49:30,239
Speaker 1: to medical professional professionals in pro transgender health associations. Yet

723
00:49:30,280 --> 00:49:36,400
Speaker 1: two of those three pro transgender groups that were approached

724
00:49:36,400 --> 00:49:43,120
Speaker 1: by HHS refused to engage, and the remaining organizations appeared

725
00:49:44,160 --> 00:49:49,520
Speaker 1: not to have read the full report. HHS offered the

726
00:49:49,680 --> 00:49:54,000
Speaker 1: leading organizations advocating for these treatments an opportunity to have

727
00:49:54,200 --> 00:50:00,600
Speaker 1: their experts participate in a rigorous peer review process. And

728
00:50:00,840 --> 00:50:03,480
Speaker 1: if you're listening to me right now and you're in

729
00:50:03,520 --> 00:50:07,880
Speaker 1: the medical profession, isn't that an important step? Peer review

730
00:50:09,120 --> 00:50:16,000
Speaker 1: of your work. You have other professionals. Medical professionals look

731
00:50:16,000 --> 00:50:19,840
Speaker 1: at what treatment you're recommending. If you have a new treatment,

732
00:50:19,880 --> 00:50:23,520
Speaker 1: something that hasn't been tried before, you peer review the evidence.

733
00:50:24,440 --> 00:50:29,640
Speaker 1: You subject your findings to the most rigorous type of review.

734
00:50:31,200 --> 00:50:33,399
Speaker 1: Why do you do that? Because you want to be right,

735
00:50:33,760 --> 00:50:36,560
Speaker 1: you want to know you're doing the right thing. And

736
00:50:36,680 --> 00:50:40,360
Speaker 1: yet these organizations that advocate for this kind of stuff,

737
00:50:40,400 --> 00:50:44,640
Speaker 1: they didn't want any part of it. HHS said, look,

738
00:50:44,680 --> 00:50:48,160
Speaker 1: here's our report, here's our work, look at it. Tell

739
00:50:48,239 --> 00:50:49,880
Speaker 1: us what you think, and that we're not going to

740
00:50:49,960 --> 00:51:00,839
Speaker 1: do that. AHHS offered the leading organizations advocating for these

741
00:51:00,880 --> 00:51:04,160
Speaker 1: treatments an opportunity to have their experts participate in peer

742
00:51:04,800 --> 00:51:12,400
Speaker 1: and rigorous peer review process. Le Or Sleeper, a senior

743
00:51:12,400 --> 00:51:15,280
Speaker 1: fellow at the Manhattan Institute, said one of the reviews,

744
00:51:16,920 --> 00:51:19,320
Speaker 1: and one of the reviews nine contributors told the Daily

745
00:51:19,360 --> 00:51:22,560
Speaker 1: Signal as a supplement clearly shows no such errors or

746
00:51:22,600 --> 00:51:25,440
Speaker 1: o emissions could be identified. Perhaps that's why advocates of

747
00:51:25,480 --> 00:51:31,840
Speaker 1: these controversial drugs and surgeries prefer silence, or preferred to

748
00:51:31,960 --> 00:51:37,880
Speaker 1: silence critics and engage in smear campaigns. So, I mean,

749
00:51:38,320 --> 00:51:42,200
Speaker 1: the whole thing is just as filthy, dirty and rotten

750
00:51:42,239 --> 00:51:46,440
Speaker 1: as it can be. And thank God for these people

751
00:51:46,440 --> 00:51:50,440
Speaker 1: that we have in the positions that they are now,

752
00:51:51,320 --> 00:51:54,560
Speaker 1: who are doing everything they can to bring a stop

753
00:51:54,600 --> 00:51:58,160
Speaker 1: to it. It's ten twenty five. We got to get

754
00:51:58,160 --> 00:51:59,880
Speaker 1: to a break news coming up to the bottom of

755
00:51:59,880 --> 00:52:02,640
Speaker 1: the hour, and we roll on till midnight tonight, Dan

756
00:52:02,680 --> 00:52:05,800
Speaker 1: Carroll the Thursday night edition of The Midweek Crisis on

757
00:52:05,920 --> 00:52:16,440
Speaker 1: seven hundred WW back on the Big One seven W

758
00:52:17,239 --> 00:52:19,520
Speaker 1: Joe Wandell, didn't I ask you to find some Christmas

759
00:52:19,600 --> 00:52:24,839
Speaker 1: music pumping with? Did you totally forget about that? I mean,

760
00:52:24,840 --> 00:52:30,680
Speaker 1: come on, man, oh man, no Christmas music? Oh way,

761
00:52:30,960 --> 00:52:33,560
Speaker 1: what are we going to do? All right? So last

762
00:52:33,600 --> 00:52:36,759
Speaker 1: night Donald Trump went in front of the went in

763
00:52:36,800 --> 00:52:42,200
Speaker 1: front of the nation and gave a gave an address

764
00:52:42,600 --> 00:52:45,360
Speaker 1: talking about where we have been, talking about what he

765
00:52:45,440 --> 00:52:49,759
Speaker 1: inherited from Joe Biden, talking about the economic progress that

766
00:52:49,840 --> 00:52:53,200
Speaker 1: he has been trying to make. And look, these things

767
00:52:53,239 --> 00:52:55,799
Speaker 1: they don't happen overnight. But all in all, I thought

768
00:52:55,840 --> 00:52:58,160
Speaker 1: it was a pretty good speech. And so during the

769
00:52:58,200 --> 00:53:01,440
Speaker 1: day today Chuck Schumer was so moved by that speech

770
00:53:01,520 --> 00:53:04,279
Speaker 1: that he felt compelled to go to the floor of

771
00:53:04,320 --> 00:53:09,279
Speaker 1: the Senate and provide a little analysis of the Trump

772
00:53:09,360 --> 00:53:15,960
Speaker 1: speech and then some psychoanalysis of the president himself. And

773
00:53:16,360 --> 00:53:19,680
Speaker 1: this is what Chuck Schumer sounded like today on the

774
00:53:19,680 --> 00:53:21,440
Speaker 1: floor of the Senate. Let's hear cut Number.

775
00:53:21,239 --> 00:53:25,480
Speaker 8: One mister president. Last night, Donald Trump gave a speech

776
00:53:25,520 --> 00:53:29,920
Speaker 8: about how supposedly great his first year has been. So

777
00:53:30,000 --> 00:53:32,960
Speaker 8: of course the speech was short because there's really not

778
00:53:33,080 --> 00:53:37,400
Speaker 8: much to say about how great Trump has been for

779
00:53:37,440 --> 00:53:43,399
Speaker 8: eighteen months, sorry for eighteen minutes. The President last night

780
00:53:43,480 --> 00:53:47,120
Speaker 8: tried to convince Americans the sky is green, that trees

781
00:53:47,160 --> 00:53:47,640
Speaker 8: can walk.

782
00:53:48,120 --> 00:53:49,720
Speaker 1: He yelled at the camera.

783
00:53:52,280 --> 00:53:55,719
Speaker 8: And said that things are somehow going great, even though

784
00:53:55,760 --> 00:54:00,439
Speaker 8: costs are up. He said he's doing a great job

785
00:54:00,440 --> 00:54:04,719
Speaker 8: in office, all of which is obviously false, and the

786
00:54:04,760 --> 00:54:10,040
Speaker 8: American people didn't buy it. It was clear watching the

787
00:54:10,080 --> 00:54:14,160
Speaker 8: speech that the President didn't want to be there. The

788
00:54:14,160 --> 00:54:17,120
Speaker 8: only thing Americans saw last night was a very rich

789
00:54:17,200 --> 00:54:21,520
Speaker 8: president trapped in a bubble, forced by his advisors to

790
00:54:21,520 --> 00:54:23,120
Speaker 8: give a speech he didn't want to give.

791
00:54:24,360 --> 00:54:25,920
Speaker 1: It's like your cousin who can't.

792
00:54:25,680 --> 00:54:29,640
Speaker 8: Sit still for a Christmas photo, only this is the

793
00:54:29,680 --> 00:54:31,440
Speaker 8: president of the United States.

794
00:54:31,560 --> 00:54:34,560
Speaker 1: So there's Chuck Schumer talking about Trump in a bubble,

795
00:54:35,600 --> 00:54:37,640
Speaker 1: forced to give a speech he didn't want to give.

796
00:54:37,640 --> 00:54:40,839
Speaker 1: Do you really think that Donald Trump is the kind

797
00:54:40,840 --> 00:54:44,160
Speaker 1: of guy that does things that he doesn't want to do?

798
00:54:45,200 --> 00:54:48,439
Speaker 1: Joining me now is a guy that it's been way

799
00:54:48,440 --> 00:54:52,120
Speaker 1: too long since I've had him on the show. Doctor

800
00:54:52,120 --> 00:54:57,120
Speaker 1: Sheldon Roth, MD is the author of Psychologically Sound, The

801
00:54:57,200 --> 00:55:00,799
Speaker 1: Mind of Donald J. Trump, and Doctor it is great

802
00:55:00,800 --> 00:55:02,640
Speaker 1: to have you back on the show today, sir. How

803
00:55:02,680 --> 00:55:02,920
Speaker 1: are you?

804
00:55:04,280 --> 00:55:07,640
Speaker 4: I'm well, thank you, and I trust you are and

805
00:55:07,719 --> 00:55:11,360
Speaker 4: I hope all your listeners are in this holiday season,

806
00:55:11,400 --> 00:55:14,320
Speaker 4: I wish everybody a good New Year and a happy holiday.

807
00:55:16,160 --> 00:55:19,240
Speaker 4: In terms of what the cut you just played, the

808
00:55:19,480 --> 00:55:24,400
Speaker 4: Chuck shows you could get any body on a street

809
00:55:24,440 --> 00:55:28,480
Speaker 4: corner to have the same kind of lack of insight

810
00:55:28,640 --> 00:55:33,640
Speaker 4: or understanding. All he did was cast dispersions without any

811
00:55:33,800 --> 00:55:41,359
Speaker 4: kind of data or understanding. And I thought the talk

812
00:55:41,480 --> 00:55:47,520
Speaker 4: last night was extremely significant importance and well done for

813
00:55:47,640 --> 00:55:52,160
Speaker 4: several different reasons, and if I could, then I'd like

814
00:55:52,239 --> 00:55:55,239
Speaker 4: to mention them. The first that I talk about would

815
00:55:55,239 --> 00:56:00,359
Speaker 4: be his psychology, the second is his stature as a present.

816
00:56:00,800 --> 00:56:05,919
Speaker 4: And then sired some of the actual content I, as

817
00:56:06,040 --> 00:56:10,640
Speaker 4: some other people have been, had been concerned of late

818
00:56:11,360 --> 00:56:14,720
Speaker 4: in that I thought there was a certain looseness about

819
00:56:14,880 --> 00:56:20,680
Speaker 4: his behavior that was beyond his usual uh A loose

820
00:56:21,560 --> 00:56:29,680
Speaker 4: jocular shenanigans, the uh inappropriate response to Rob Ryner the

821
00:56:30,080 --> 00:56:35,680
Speaker 4: talk in Pennsylvania in which he called affordability a hoax.

822
00:56:36,200 --> 00:56:39,319
Speaker 4: I wondered what had happened to this man. This is

823
00:56:39,360 --> 00:56:42,600
Speaker 4: a guy who used to go down from his office

824
00:56:42,640 --> 00:56:44,799
Speaker 4: at the end of the day on Fifth Avenue, walk

825
00:56:44,840 --> 00:56:48,520
Speaker 4: over to Lexington to a Korean grocery store, to his

826
00:56:48,600 --> 00:56:52,280
Speaker 4: own shopping, get some chips for dinner, talk to people

827
00:56:52,320 --> 00:56:52,960
Speaker 4: in the street.

828
00:56:53,840 --> 00:56:55,920
Speaker 5: Where had he had.

829
00:56:55,719 --> 00:57:01,320
Speaker 4: He lost contact? And I and and people so trade

830
00:57:01,800 --> 00:57:04,839
Speaker 4: to tell them their point of view for fear of

831
00:57:04,880 --> 00:57:08,759
Speaker 4: being seen as disloyal and then just thrown out of

832
00:57:08,800 --> 00:57:13,000
Speaker 4: the inner circle. Last night, I was reassured that I

833
00:57:13,040 --> 00:57:14,839
Speaker 4: have no need of fear.

834
00:57:14,600 --> 00:57:15,239
Speaker 5: Of any of that.

835
00:57:16,000 --> 00:57:19,560
Speaker 4: As a matter of fact, his capacity to hold that

836
00:57:19,640 --> 00:57:23,280
Speaker 4: thing down to eighteen minutes, although truck Schumer, if he

837
00:57:23,360 --> 00:57:26,040
Speaker 4: were a little more data conscious, would know it was

838
00:57:26,080 --> 00:57:31,960
Speaker 4: more like nineteen minutes. But he actually was able to

839
00:57:32,040 --> 00:57:35,840
Speaker 4: respond to his staff taking a different point of view

840
00:57:36,680 --> 00:57:42,560
Speaker 4: and not repeat the performances of his loose non teleprompter

841
00:57:44,000 --> 00:57:46,720
Speaker 4: off the cuff remarks that went off for ninety minutes

842
00:57:47,040 --> 00:57:52,720
Speaker 4: at several rallies. He was extremely organized, well focused, and

843
00:57:53,000 --> 00:57:56,760
Speaker 4: in a manner of eighteen nineteen minutes, managed to go

844
00:57:56,840 --> 00:58:01,120
Speaker 4: through about one hundred different points of view, and and

845
00:58:01,680 --> 00:58:05,360
Speaker 4: most of all, he was presidential and by that I

846
00:58:05,480 --> 00:58:10,520
Speaker 4: meant he offered hope to the United States and wanted

847
00:58:10,560 --> 00:58:14,720
Speaker 4: to help them understand that they should not be confused,

848
00:58:15,280 --> 00:58:20,720
Speaker 4: that economies don't turn on a dime, that everything he's

849
00:58:20,880 --> 00:58:25,200
Speaker 4: doing is in the interest of improving the everyday lives

850
00:58:25,200 --> 00:58:30,760
Speaker 4: of people. And if people doubted, for example, that his

851
00:58:30,920 --> 00:58:37,080
Speaker 4: tariffs were working, his ability to provide seventeen seventy six

852
00:58:37,200 --> 00:58:41,280
Speaker 4: that great number of dollars to the military, which he

853
00:58:41,320 --> 00:58:46,600
Speaker 4: ascribed to the tariff income as a first payoff, he's

854
00:58:46,640 --> 00:58:53,400
Speaker 4: showing the country this is actually paying off, citing gasoline prices,

855
00:58:53,880 --> 00:58:59,320
Speaker 4: and that he spoke the everyday needs. And he didn't falsify.

856
00:59:00,400 --> 00:59:05,640
Speaker 4: He talked to exaggerations, which he always does, because remember

857
00:59:06,160 --> 00:59:08,720
Speaker 4: I loved the combats that he made quite a while

858
00:59:08,720 --> 00:59:12,439
Speaker 4: ago about someone said, why do you always say you're

859
00:59:12,440 --> 00:59:15,840
Speaker 4: the first, you're the best, You're you're the top, you're

860
00:59:15,880 --> 00:59:18,720
Speaker 4: the height. He said, when was the last time you

861
00:59:18,800 --> 00:59:22,360
Speaker 4: ever went into a pizza store that had an advertisement

862
00:59:22,760 --> 00:59:29,200
Speaker 4: the fourth greatest pizza in the world. So you'll have

863
00:59:29,400 --> 00:59:33,040
Speaker 4: to give You have to give people something that they

864
00:59:33,080 --> 00:59:36,920
Speaker 4: could long for and that and that will work, and

865
00:59:37,000 --> 00:59:41,640
Speaker 4: so he took it on many everyday aspects of life.

866
00:59:42,840 --> 00:59:47,480
Speaker 4: If he secured the border, the border was secure, primarily

867
00:59:47,840 --> 00:59:52,400
Speaker 4: so that we could make sea streets safe again and

868
00:59:52,440 --> 00:59:56,400
Speaker 4: that crime was down, and indeed crime is down across

869
00:59:56,440 --> 01:00:01,160
Speaker 4: the whole nation. Or he talked about the Paul season schools,

870
01:00:01,960 --> 01:00:06,640
Speaker 4: breaking the hold of the radicals and hamas on school campuses,

871
01:00:08,160 --> 01:00:15,040
Speaker 4: and getting our trends women basically men out of sports

872
01:00:15,400 --> 01:00:18,400
Speaker 4: and speaking up for women. And he spoke like a

873
01:00:18,440 --> 01:00:23,320
Speaker 4: president who reminded everybody, this is a republic and he's

874
01:00:23,360 --> 01:00:28,080
Speaker 4: going to push power back back to the States, particularly

875
01:00:28,080 --> 01:00:33,760
Speaker 4: in regard to education. So every element that he picked

876
01:00:33,840 --> 01:00:37,320
Speaker 4: on was an element that would provide hope, and he

877
01:00:37,680 --> 01:00:40,360
Speaker 4: cut across many different angles.

878
01:00:40,920 --> 01:00:41,360
Speaker 2: So the.

879
01:00:43,200 --> 01:00:48,320
Speaker 4: Appeal to young women in sports was matched by the

880
01:00:48,360 --> 01:00:53,680
Speaker 4: cutting down of drug prices, particularly for seniors. He gave

881
01:00:53,760 --> 01:00:58,680
Speaker 4: the people. The newspapers have criticized him that he's super

882
01:00:58,720 --> 01:01:03,400
Speaker 4: involved in foreign powers. There was actually very little foreign

883
01:01:03,480 --> 01:01:10,120
Speaker 4: policy per se that was in that speech except mention

884
01:01:10,280 --> 01:01:14,400
Speaker 4: that he is for peace. He's not a warmonger, which

885
01:01:14,440 --> 01:01:18,040
Speaker 4: has been ascribed to him of late because of the

886
01:01:18,120 --> 01:01:23,400
Speaker 4: Venezuela incidents. So even in that example.

887
01:01:23,720 --> 01:01:25,600
Speaker 5: He was trying to.

888
01:01:27,120 --> 01:01:31,760
Speaker 4: Give the people that America is first, and that he's

889
01:01:31,800 --> 01:01:37,600
Speaker 4: not preoccupied beyond, beyond the beyond the average citizens. So

890
01:01:37,880 --> 01:01:41,000
Speaker 4: as a matter of fact, I was concerned that he

891
01:01:41,320 --> 01:01:45,640
Speaker 4: could he possibly, as Schumer said, get himself caught in

892
01:01:45,720 --> 01:01:48,840
Speaker 4: a bubble in which he was only in an echo

893
01:01:48,920 --> 01:01:53,600
Speaker 4: chamber and hearing himself back. But once he ended that speeches,

894
01:01:53,680 --> 01:01:57,439
Speaker 4: I understand it. He turned to Susie Wilds and he said, well,

895
01:01:57,480 --> 01:02:00,280
Speaker 4: did I do good? I kept it under twenty minutes.

896
01:02:00,400 --> 01:02:05,160
Speaker 4: In other words, Susie Wiles, despite the fact that people

897
01:02:05,240 --> 01:02:10,360
Speaker 4: have been very critical of her for the Vanity Fair article. Incidentally,

898
01:02:10,480 --> 01:02:14,160
Speaker 4: no conservative should ever look themselves to be interviewed by

899
01:02:14,520 --> 01:02:18,840
Speaker 4: a liberal a liberal organ. They're going to be put

900
01:02:18,960 --> 01:02:22,760
Speaker 4: to the grinder. So he is responsive to the people

901
01:02:22,800 --> 01:02:26,440
Speaker 4: around him, which I had been concerned about, and I

902
01:02:26,480 --> 01:02:29,560
Speaker 4: couldn't I think, three weeks ago, I couldn't imagine him

903
01:02:30,280 --> 01:02:35,920
Speaker 4: putting together or talk like that so are concise and

904
01:02:35,960 --> 01:02:40,960
Speaker 4: so condensed. Most people, of course, thought that he was

905
01:02:41,000 --> 01:02:46,280
Speaker 4: going to wind up talking about war on Venezuela. I

906
01:02:46,360 --> 01:02:51,400
Speaker 4: heard one cynic h suggests that the reason the White

907
01:02:51,440 --> 01:02:55,080
Speaker 4: House to let that rumor go out was so that ABC,

908
01:02:55,360 --> 01:03:00,560
Speaker 4: CBS and NBC would carry the talk otherwise otherwise they

909
01:03:00,880 --> 01:03:05,280
Speaker 4: would ignore it, and indeed, you know, liberal newspapers to

910
01:03:05,480 --> 01:03:09,440
Speaker 4: ignore it. I happened to peruse every day the Los

911
01:03:09,440 --> 01:03:13,400
Speaker 4: Angeles Times, the Washington Post, the Boston Globe, and the

912
01:03:13,440 --> 01:03:16,760
Speaker 4: New York Times. Well do you know that the Los

913
01:03:16,800 --> 01:03:21,000
Speaker 4: Angeles Times, on a front page had about fifteen different

914
01:03:21,520 --> 01:03:25,360
Speaker 4: news items sided Not one of them was about the

915
01:03:25,400 --> 01:03:29,000
Speaker 4: President of the United States, and you know, were the

916
01:03:29,040 --> 01:03:34,440
Speaker 4: same for the Boston Globe. Not one mentioned on the

917
01:03:34,440 --> 01:03:38,040
Speaker 4: front pages of the of those magazines. And when the

918
01:03:38,120 --> 01:03:42,280
Speaker 4: Times covered it, it was actually just a couple of paragraphs,

919
01:03:42,680 --> 01:03:46,800
Speaker 4: most of which were negative. Has stunned at the inability

920
01:03:46,840 --> 01:03:50,680
Speaker 4: of people who call themselves journalists did not report on

921
01:03:50,760 --> 01:03:54,240
Speaker 4: the fact that the President of the United States gave

922
01:03:54,280 --> 01:03:57,360
Speaker 4: an address to the nation the night before. But of

923
01:03:57,400 --> 01:04:01,760
Speaker 4: course we've been suffering from that long time and will

924
01:04:01,760 --> 01:04:05,720
Speaker 4: continue to suffer from that. So I was reassured about

925
01:04:05,720 --> 01:04:10,200
Speaker 4: his psychology because let's remember, you know, his father died

926
01:04:11,440 --> 01:04:16,439
Speaker 4: of dementia, and that started in his late eighties, and

927
01:04:16,520 --> 01:04:19,720
Speaker 4: towards the end, his mother was slightly demented, but not

928
01:04:19,840 --> 01:04:22,520
Speaker 4: as much as the father. So far as I know

929
01:04:22,680 --> 01:04:27,840
Speaker 4: his uncle John, who was who's the father's brother, renowned

930
01:04:27,840 --> 01:04:33,920
Speaker 4: professor at MIT, brilliant, brilliant man. I never suffered from dementia,

931
01:04:34,520 --> 01:04:36,960
Speaker 4: but that was always in the back of my mind,

932
01:04:37,120 --> 01:04:43,200
Speaker 4: and I was reassured about it by his behavior and

933
01:04:43,280 --> 01:04:47,720
Speaker 4: his ability to stick to the task. And whether you

934
01:04:47,800 --> 01:04:51,480
Speaker 4: agree with those statistics or not, he used them. It

935
01:04:51,640 --> 01:04:57,320
Speaker 4: wasn't all. Nothing was off the cuff. Everything was. Everything was.

936
01:04:57,760 --> 01:04:59,040
Speaker 5: I have data on this.

937
01:04:59,280 --> 01:05:02,160
Speaker 4: You can disagree with it, but I have day though

938
01:05:02,320 --> 01:05:06,120
Speaker 4: I'm not like Chuck Schumer was talking like some guy

939
01:05:06,160 --> 01:05:08,680
Speaker 4: in a candy store in Brooklyn. I mean, he said

940
01:05:08,720 --> 01:05:13,720
Speaker 4: absolutely nothing. But Trump was filled with facts. Although I

941
01:05:13,720 --> 01:05:15,919
Speaker 4: could tell you one fact then you know, he talked

942
01:05:15,920 --> 01:05:19,600
Speaker 4: about how gas is coming down. Yes, I filled them

943
01:05:19,640 --> 01:05:23,560
Speaker 4: back car today in LA it was five dollars a gallon.

944
01:05:23,720 --> 01:05:26,800
Speaker 1: Well, well, California is a special case when it comes

945
01:05:26,880 --> 01:05:32,080
Speaker 1: to when it comes to gasoline, so it can be right.

946
01:05:32,840 --> 01:05:35,800
Speaker 1: It did. It was two thirty nine today when I

947
01:05:35,840 --> 01:05:38,760
Speaker 1: put gas in my tank today, so it uh, yeah,

948
01:05:38,760 --> 01:05:40,000
Speaker 1: We're we're doing pretty good here.

949
01:05:40,360 --> 01:05:40,520
Speaker 2: You know.

950
01:05:40,520 --> 01:05:43,040
Speaker 1: I'm glad you mentioned his comments about Rob Reiner and

951
01:05:43,040 --> 01:05:45,960
Speaker 1: we've only got a couple of minutes here, uh, doctor Roth.

952
01:05:46,280 --> 01:05:49,440
Speaker 1: But I commented on that I didn't think it was

953
01:05:49,600 --> 01:05:52,040
Speaker 1: I didn't think it was his finest hour. I didn't

954
01:05:52,080 --> 01:05:54,720
Speaker 1: think it was you know that that it was his

955
01:05:54,800 --> 01:05:57,200
Speaker 1: greatest thing. But overall I thought it was fair. I

956
01:05:57,200 --> 01:05:59,640
Speaker 1: thought it was it was Trump. It was Trump being

957
01:05:59,720 --> 01:06:03,360
Speaker 1: true to himself. And Rob Reiner has a history of

958
01:06:03,400 --> 01:06:06,160
Speaker 1: saying some of the he he Rob Ronner said he

959
01:06:06,240 --> 01:06:09,120
Speaker 1: hates Trump, he called he's called him a fascist, He's

960
01:06:09,120 --> 01:06:11,640
Speaker 1: called him a Nazi, talked about how he wanted to

961
01:06:11,680 --> 01:06:14,840
Speaker 1: destroy them other so Trump is is no fan of

962
01:06:14,960 --> 01:06:18,680
Speaker 1: Rob Reiner, and and he said so and so just

963
01:06:18,720 --> 01:06:22,120
Speaker 1: because I mean, and it look that the death is horrible.

964
01:06:22,360 --> 01:06:25,160
Speaker 1: I disagree with Rob Reiner in all sorts of ways,

965
01:06:25,200 --> 01:06:27,800
Speaker 1: but I mean, God, I mean, God bless him. I mean,

966
01:06:27,960 --> 01:06:30,920
Speaker 1: there's no way anything like that should ever happen. But

967
01:06:31,720 --> 01:06:34,600
Speaker 1: I think when you can compare some of the stuff

968
01:06:34,600 --> 01:06:37,760
Speaker 1: that came out after the Charlie Kirk assassination and things

969
01:06:37,840 --> 01:06:40,320
Speaker 1: like that, I think that statement was really was really

970
01:06:40,360 --> 01:06:43,360
Speaker 1: pretty tame, and it was Trump being Trump.

971
01:06:43,120 --> 01:06:46,800
Speaker 4: And Rob, would you say, Dan, I was discussing this

972
01:06:46,920 --> 01:06:50,760
Speaker 4: with my wife and she said, what I believe she said,

973
01:06:50,800 --> 01:06:54,360
Speaker 4: that's why people vote for him. He says what people think.

974
01:06:54,760 --> 01:06:57,640
Speaker 4: But I'm not allowed to say that.

975
01:06:58,040 --> 01:06:58,560
Speaker 5: A lot of.

976
01:06:58,520 --> 01:07:02,120
Speaker 4: People feel the way you about the things that Rob

977
01:07:02,200 --> 01:07:08,560
Speaker 4: Ryner has expressed and anyway prompt of the package like

978
01:07:08,680 --> 01:07:14,600
Speaker 4: most other people in life. And he has his super virtues,

979
01:07:14,920 --> 01:07:19,840
Speaker 4: and he has his questionable liabilities, and you have to

980
01:07:19,880 --> 01:07:23,040
Speaker 4: take him as a package. And it's a mistake if

981
01:07:23,080 --> 01:07:27,160
Speaker 4: you land on one particular aspect to negate him. Just

982
01:07:27,280 --> 01:07:30,800
Speaker 4: like you with any other person in life, people are

983
01:07:30,840 --> 01:07:42,160
Speaker 4: a complete package. We're complicated creatures. So I think many

984
01:07:42,200 --> 01:07:47,240
Speaker 4: people feel I heard Luke Gingrich's comments on Fox News

985
01:07:47,280 --> 01:07:49,880
Speaker 4: about the talk. He thought it was one of the

986
01:07:49,920 --> 01:07:54,800
Speaker 4: best presidential addresses he had heard, and he thought only

987
01:07:54,840 --> 01:07:59,480
Speaker 4: in future years, well, people will actually appreciate what he said,

988
01:08:00,720 --> 01:08:03,680
Speaker 4: particularly with the tariffs. They have to play out.

989
01:08:04,080 --> 01:08:06,960
Speaker 1: They have to play out. Yeah, no, no, I agree,

990
01:08:07,000 --> 01:08:09,840
Speaker 1: and the and the I thought the the idea of

991
01:08:09,880 --> 01:08:12,480
Speaker 1: giving one thousand, seven hundred and seventy six dollars to

992
01:08:13,000 --> 01:08:16,320
Speaker 1: members of the armed services was a great move as well.

993
01:08:16,560 --> 01:08:19,320
Speaker 1: But doctor Roth, before I let you go, I want

994
01:08:19,320 --> 01:08:22,639
Speaker 1: to give you an assignment, Okay, I want to give

995
01:08:22,640 --> 01:08:27,839
Speaker 1: you an assignment. I saw yesterday where a documentary about

996
01:08:29,040 --> 01:08:35,120
Speaker 1: about Donald Trump's wife is going to come out, Okay,

997
01:08:35,760 --> 01:08:38,080
Speaker 1: and uh and and I want you to watch that,

998
01:08:38,720 --> 01:08:40,640
Speaker 1: and I want and then I want to discuss that

999
01:08:41,760 --> 01:08:44,599
Speaker 1: after you watch it. So that's gonna co. I don't

1000
01:08:44,600 --> 01:08:48,719
Speaker 1: know it's coming out. I think maybe right after the holiday.

1001
01:08:48,840 --> 01:08:50,480
Speaker 4: I think it's coming out in January.

1002
01:08:50,760 --> 01:08:53,840
Speaker 1: Yeah, in January. So I want you to watch that

1003
01:08:53,920 --> 01:08:58,440
Speaker 1: because I want to know how much of an influence

1004
01:08:59,200 --> 01:09:01,519
Speaker 1: she is on the White House and how much of

1005
01:09:01,560 --> 01:09:06,160
Speaker 1: an influence she is on a regular basis on Donald Trump.

1006
01:09:06,160 --> 01:09:10,360
Speaker 1: I think it's going to be fascinating to see this,

1007
01:09:10,360 --> 01:09:12,600
Speaker 1: this documentary. So I want you to watch that, and

1008
01:09:12,640 --> 01:09:15,160
Speaker 1: then we will set up a time for us to

1009
01:09:15,200 --> 01:09:16,880
Speaker 1: talk about it here on the radio. But for now,

1010
01:09:17,560 --> 01:09:21,439
Speaker 1: doctor Roth, we've got to run. I always appreciate the time.

1011
01:09:21,520 --> 01:09:23,160
Speaker 1: I love having you on. I could listen to you

1012
01:09:23,240 --> 01:09:25,840
Speaker 1: talk all night. So thank you so much for the time,

1013
01:09:25,920 --> 01:09:28,519
Speaker 1: and I certainly look forward to the next time we

1014
01:09:28,560 --> 01:09:29,599
Speaker 1: get a chance to talk again.

1015
01:09:30,320 --> 01:09:32,360
Speaker 4: Thank you, Dan. I'm a happy New Year to you

1016
01:09:32,439 --> 01:09:33,320
Speaker 4: and your listeners.

1017
01:09:33,400 --> 01:09:35,600
Speaker 1: Thank you, doctor Sheldon Roth. All the best to you

1018
01:09:35,720 --> 01:09:40,400
Speaker 1: and your family, sir. Thank you so much. I just

1019
01:09:41,080 --> 01:09:42,439
Speaker 1: I don't know what it is about that guy. I

1020
01:09:42,479 --> 01:09:44,960
Speaker 1: could just listen to him talk all night. Ten fifty six,

1021
01:09:45,000 --> 01:09:53,439
Speaker 1: We've got to get to a break on seven hundred WLW.

1022
01:09:55,080 --> 01:09:57,759
Speaker 1: I'm back on the Big One, seven hundred WLW eleven

1023
01:09:57,800 --> 01:10:01,439
Speaker 1: O seven. This is the Thursday night edition of the

1024
01:10:01,479 --> 01:10:04,400
Speaker 1: Midweek Crisis. I'm Dan Carroll. Thank you so much for

1025
01:10:04,439 --> 01:10:07,240
Speaker 1: being here. I I'm always glad to be here. Joe

1026
01:10:07,280 --> 01:10:10,040
Speaker 1: Waddell is running the big board in the seven hundred

1027
01:10:10,080 --> 01:10:12,160
Speaker 1: WLW command center. Joe, let's go ahead and open the

1028
01:10:12,200 --> 01:10:15,599
Speaker 1: phone lines five, one, three, seven, four, nine, seven thousand

1029
01:10:15,600 --> 01:10:18,760
Speaker 1: and one, eight hundreds, the Big One, and a lot

1030
01:10:18,760 --> 01:10:20,479
Speaker 1: of different things I want to touch on here. But

1031
01:10:20,520 --> 01:10:24,400
Speaker 1: I earlier in the show tonight, we were supposed to

1032
01:10:24,400 --> 01:10:27,160
Speaker 1: speak with my buddy Joe Hoft, and we were not

1033
01:10:27,240 --> 01:10:30,080
Speaker 1: able to make contact with him. So I hope everything's

1034
01:10:30,080 --> 01:10:31,880
Speaker 1: all right with him. But one of the things that

1035
01:10:31,960 --> 01:10:34,920
Speaker 1: Joe and I talked about initially, and the reason I

1036
01:10:34,960 --> 01:10:38,360
Speaker 1: had him on as a guest, is because he was

1037
01:10:38,720 --> 01:10:40,760
Speaker 1: there was no one who was more on top of

1038
01:10:41,280 --> 01:10:43,960
Speaker 1: the election fraud of twenty twenty than he was. He

1039
01:10:44,200 --> 01:10:47,679
Speaker 1: wrote three different books about it, so he knows this

1040
01:10:48,040 --> 01:10:52,879
Speaker 1: inside and out. And I mean, he knows what happened

1041
01:10:53,280 --> 01:10:56,720
Speaker 1: in Wisconsin, he knows what happened in Michigan, he knows

1042
01:10:56,720 --> 01:10:59,840
Speaker 1: what happened in Arizona, he knows what happened in the

1043
01:11:00,840 --> 01:11:04,360
Speaker 1: he knows what happened in Georgia, he knows what happened

1044
01:11:04,400 --> 01:11:07,960
Speaker 1: in Pennsylvania. And as I was getting ready for the

1045
01:11:07,960 --> 01:11:13,479
Speaker 1: show today, I found this piece in the Federalist, and

1046
01:11:13,760 --> 01:11:17,439
Speaker 1: it's talking about what happened in Fulton County. Fulton County, Georgia,

1047
01:11:19,080 --> 01:11:26,280
Speaker 1: and in Fulton County, Georgia. They have admitted that approximately

1048
01:11:26,360 --> 01:11:31,320
Speaker 1: three hundred and fifteen thousand early votes from the twenty

1049
01:11:31,520 --> 01:11:36,920
Speaker 1: twenty election were illegally certified, but were nonetheless still included

1050
01:11:37,280 --> 01:11:41,720
Speaker 1: in the final results of that election. The admission came

1051
01:11:41,800 --> 01:11:47,240
Speaker 1: during a hearing last week before the Georgia State Election Board,

1052
01:11:48,080 --> 01:11:50,880
Speaker 1: stepping from a challenge filed by David Cross, a local

1053
01:11:50,880 --> 01:11:57,639
Speaker 1: election integrity activist. He filed a challenge with the state

1054
01:11:57,640 --> 01:12:03,880
Speaker 1: Election Board back in March of twenty two, alleging the

1055
01:12:03,880 --> 01:12:08,639
Speaker 1: Fulton County violated a Georgia statute in handling of advanced

1056
01:12:08,720 --> 01:12:13,040
Speaker 1: voting ahead of the November twenty twenty election, counting hundreds

1057
01:12:13,040 --> 01:12:15,720
Speaker 1: of thousands of votes even though polling workers failed to

1058
01:12:15,760 --> 01:12:22,320
Speaker 1: sign off on vote tabulation tapes critical to the certification process,

1059
01:12:22,880 --> 01:12:27,600
Speaker 1: and now Fulton County has admitted to it. And Brumbaugh,

1060
01:12:27,640 --> 01:12:33,040
Speaker 1: an attorney for Fulton County, told the told the board

1061
01:12:33,080 --> 01:12:35,120
Speaker 1: and the hearing that while she has not seen the

1062
01:12:35,120 --> 01:12:38,679
Speaker 1: tapes herself, the county does not dispute that the tapes

1063
01:12:38,720 --> 01:12:41,360
Speaker 1: were not signed. It was a violation of the rule.

1064
01:12:43,880 --> 01:12:46,320
Speaker 1: Since twenty twenty, we have new leadership and a new

1065
01:12:46,320 --> 01:12:49,960
Speaker 1: building and a new board and a new standard. Since then,

1066
01:12:50,000 --> 01:12:52,920
Speaker 1: the training has been enhanced, but we don't dispute the

1067
01:12:53,000 --> 01:13:01,160
Speaker 1: allegations from the twenty twenty election. Georgia law requires that

1068
01:13:01,240 --> 01:13:05,400
Speaker 1: election officials have each ballot scanner print these closing tapes

1069
01:13:05,439 --> 01:13:08,479
Speaker 1: at the end of each voting day. Poll workers must

1070
01:13:08,560 --> 01:13:12,560
Speaker 1: sign these tapes or include a documented reason for refusal.

1071
01:13:13,560 --> 01:13:16,479
Speaker 1: Voting laws require poll workers to begin each day of

1072
01:13:16,560 --> 01:13:21,240
Speaker 1: voting by printing and signing a zero tape showing that

1073
01:13:21,280 --> 01:13:25,800
Speaker 1: the voting machines are starting at zero votes. If there's

1074
01:13:25,840 --> 01:13:28,240
Speaker 1: no record of whether the tabulator was set at zero

1075
01:13:28,280 --> 01:13:30,439
Speaker 1: at the start of the polling, there is no way

1076
01:13:30,439 --> 01:13:34,080
Speaker 1: of telling whether ballots from a previous election or ballots

1077
01:13:34,080 --> 01:13:36,759
Speaker 1: from a test run were left on the memory card

1078
01:13:36,920 --> 01:13:42,480
Speaker 1: and might later be counted. Notably, this happened in Montana,

1079
01:13:43,160 --> 01:13:46,439
Speaker 1: where officials discovered more votes than were cast and believe

1080
01:13:46,520 --> 01:13:49,479
Speaker 1: the votes were left over sample data that had not

1081
01:13:49,560 --> 01:13:57,040
Speaker 1: been cleared. So these machines that count the votes and

1082
01:13:58,040 --> 01:14:00,599
Speaker 1: do all this stuff, it just seems to me they're

1083
01:14:00,760 --> 01:14:05,400
Speaker 1: unnecessarily complicated, and you've got to jump through so many hoops,

1084
01:14:05,400 --> 01:14:08,439
Speaker 1: and then the more moving parts you've got going on

1085
01:14:09,840 --> 01:14:12,560
Speaker 1: to my way of thinking, the easier it is to

1086
01:14:12,600 --> 01:14:16,479
Speaker 1: get in there and fiddle around with it. And so

1087
01:14:16,640 --> 01:14:22,719
Speaker 1: Joe Hoff has been one of the very rare individuals

1088
01:14:23,200 --> 01:14:27,480
Speaker 1: who looked at the twenty twenty election, saw the irregularities,

1089
01:14:27,640 --> 01:14:31,000
Speaker 1: saw the fraud, and spoke out about it, and continues

1090
01:14:31,040 --> 01:14:34,160
Speaker 1: to speak out about it. And now one by one

1091
01:14:34,240 --> 01:14:38,439
Speaker 1: it's all coming to light that there was so much

1092
01:14:38,520 --> 01:14:44,439
Speaker 1: fraudulent voting going on in the twenty twenty election, and

1093
01:14:44,479 --> 01:14:48,479
Speaker 1: that you will you will never convince me that Joe

1094
01:14:48,560 --> 01:14:52,000
Speaker 1: Biden got eighty one million votes and beat Trump in

1095
01:14:52,040 --> 01:14:57,240
Speaker 1: that election. And how we looking now, how are you

1096
01:14:57,400 --> 01:15:01,120
Speaker 1: enjoying this Trump compared to the Trump you might have

1097
01:15:01,240 --> 01:15:05,479
Speaker 1: had in twenty twenty if you wouldn't have screwed around

1098
01:15:05,479 --> 01:15:08,920
Speaker 1: with that election, who knows how different things would be,

1099
01:15:10,360 --> 01:15:15,160
Speaker 1: How different would things be? There was an update on

1100
01:15:15,479 --> 01:15:19,200
Speaker 1: the Minnesota fraud as it relates to the Somalian community

1101
01:15:19,200 --> 01:15:24,040
Speaker 1: there in Minneapolis, and it's getting so bad now even

1102
01:15:24,080 --> 01:15:28,360
Speaker 1: the Associated Press had to do a story on this,

1103
01:15:31,040 --> 01:15:34,679
Speaker 1: and the Assodio Associated Press writes a half or more

1104
01:15:34,760 --> 01:15:40,479
Speaker 1: of the roughly eighteen billion dollars in federal funds that

1105
01:15:40,600 --> 01:15:44,720
Speaker 1: supported fourteen Minnesota run programs since twenty eighteen may have

1106
01:15:44,800 --> 01:15:57,519
Speaker 1: been stolen. Okay, half or more of eighteen billion in

1107
01:15:57,640 --> 01:16:03,360
Speaker 1: fourteen different Minnesota run programs may have been stolen. That's

1108
01:16:03,439 --> 01:16:12,280
Speaker 1: nine billion dollars. First Assistant US Attorney Joe Thompson talked

1109
01:16:12,280 --> 01:16:16,960
Speaker 1: about the scale of the fraud, and we've got a

1110
01:16:17,000 --> 01:16:19,559
Speaker 1: SoundBite of him, and I want to play that. Now

1111
01:16:19,600 --> 01:16:26,599
Speaker 1: here's a US attorney. Oh you know what I don't

1112
01:16:26,760 --> 01:16:32,240
Speaker 1: This is a different scam. Wait a second, Wait a second,

1113
01:16:32,240 --> 01:16:35,960
Speaker 1: wait a second. Oh yeah, Matt, that's a different one. No,

1114
01:16:36,080 --> 01:16:39,240
Speaker 1: I don't have the sound from this one, but this

1115
01:16:39,400 --> 01:16:42,719
Speaker 1: US attorney Joe Thompson said the scale of the fraud

1116
01:16:42,720 --> 01:16:46,479
Speaker 1: puts services at risk for people who need them, and

1117
01:16:46,520 --> 01:16:50,719
Speaker 1: including adults leaving addiction treatment centers who need help finding

1118
01:16:50,720 --> 01:16:53,800
Speaker 1: a stable place to live, children with autism, children who

1119
01:16:53,840 --> 01:17:00,639
Speaker 1: really have autism, not the fake autism that was part

1120
01:17:00,680 --> 01:17:03,920
Speaker 1: of this scam. So you had the feeding the hungry scam,

1121
01:17:03,920 --> 01:17:07,559
Speaker 1: you had the autism scam, and you had the finding

1122
01:17:07,600 --> 01:17:10,240
Speaker 1: homes for people with addiction and people at risk and

1123
01:17:10,280 --> 01:17:17,599
Speaker 1: the elderly and all that sort of thing. Prosecutors typically

1124
01:17:17,640 --> 01:17:22,599
Speaker 1: see fraud manifest as providers over billing. Thompson said during

1125
01:17:22,640 --> 01:17:27,360
Speaker 1: a news conference in Minneapolis that companies have been created

1126
01:17:27,400 --> 01:17:31,280
Speaker 1: to provide zero services, whilst of many claims to medicate

1127
01:17:31,360 --> 01:17:36,960
Speaker 1: and pocketing federal funds for international travel, luxury vehicles, lavish lifestyles,

1128
01:17:37,960 --> 01:17:41,160
Speaker 1: and we know there's a strong likelihood that some of

1129
01:17:41,160 --> 01:17:45,080
Speaker 1: that money went to back to Somalia and while wind

1130
01:17:45,160 --> 01:17:54,519
Speaker 1: up supporting a terrorist organization, Boko Haram. Investigators new findings

1131
01:17:54,520 --> 01:17:58,240
Speaker 1: may bolster Donald Trump and his claims that Minnesota is

1132
01:17:58,280 --> 01:18:02,439
Speaker 1: a quote hub of fraudulent any laundering activity under Governor

1133
01:18:02,479 --> 01:18:09,280
Speaker 1: Tim Walls, who was the Democrat vice presidential nominee in

1134
01:18:09,439 --> 01:18:16,240
Speaker 1: last year's election. I mean, think about that, if Tim

1135
01:18:16,280 --> 01:18:18,600
Speaker 1: Walls was the vice president right now, would we be

1136
01:18:18,640 --> 01:18:23,840
Speaker 1: hearing about any of this? And Kamala Harris is out

1137
01:18:23,840 --> 01:18:28,479
Speaker 1: there on her book tour talking about how she's laying

1138
01:18:28,520 --> 01:18:32,360
Speaker 1: the groundwork for another presidential run, how great she was

1139
01:18:32,439 --> 01:18:37,360
Speaker 1: as vice president, how qualified she is to be the

1140
01:18:37,360 --> 01:18:43,040
Speaker 1: president of the United States. And she goes in and

1141
01:18:43,080 --> 01:18:46,679
Speaker 1: she goes on all these friendly interviews. Do you think

1142
01:18:46,720 --> 01:18:49,000
Speaker 1: one person's going to say, hey, well look at what

1143
01:18:49,040 --> 01:18:52,519
Speaker 1: Tim for look at with Tim Walls, jazz hands, let

1144
01:18:52,600 --> 01:18:58,680
Speaker 1: go on right under his nose. The AP article goes

1145
01:18:58,720 --> 01:19:02,040
Speaker 1: on to talk about Trump, how he's capitalized on fraud cases,

1146
01:19:02,080 --> 01:19:06,719
Speaker 1: the target the Somalia dysporia in Minnesota, the largest Somali

1147
01:19:06,800 --> 01:19:11,599
Speaker 1: population in the US. Eighty two of ninety two defendants

1148
01:19:11,600 --> 01:19:15,840
Speaker 1: and the child nutrition, housing services, and autism program scheme

1149
01:19:15,920 --> 01:19:21,280
Speaker 1: are Somali. But you know, it's not right to call it.

1150
01:19:21,280 --> 01:19:23,280
Speaker 1: It's not right to call it out and say that

1151
01:19:23,320 --> 01:19:27,519
Speaker 1: it's the Somalian community involved in this. That's really it's

1152
01:19:27,600 --> 01:19:33,880
Speaker 1: just unfair. Eighty two of ninety two defendants are in

1153
01:19:33,880 --> 01:19:40,360
Speaker 1: the Somali community. See Tim Wallas said we will not

1154
01:19:40,479 --> 01:19:50,679
Speaker 1: tolerate fraud. That's funny. Let's see The announcement Thursday follows

1155
01:19:50,800 --> 01:19:54,719
Speaker 1: years of investigation that began with the three hundred million

1156
01:19:56,560 --> 01:19:59,680
Speaker 1: Feeding Our Future scheme, for which fifty seven defendants have

1157
01:19:59,720 --> 01:20:04,639
Speaker 1: been victed. Prosecutor said Feeding our Future nonprofit was at

1158
01:20:04,640 --> 01:20:10,000
Speaker 1: the center of the country's largest COVID nineteen related fraud scam,

1159
01:20:12,000 --> 01:20:14,360
Speaker 1: roughly two dozen or so. Feeding our Future defendants for

1160
01:20:14,439 --> 01:20:17,800
Speaker 1: getting money from autism clinics. That's how we learned about

1161
01:20:17,840 --> 01:20:22,160
Speaker 1: the autism fraud. I mean, think of me. It's absolutely amazing,

1162
01:20:22,360 --> 01:20:29,479
Speaker 1: all connected. But this prosecutor was out there talking today,

1163
01:20:29,920 --> 01:20:32,880
Speaker 1: and that's my bet. I thought i'd cut up his

1164
01:20:32,960 --> 01:20:34,479
Speaker 1: sound bite and put it on here, But he talked.

1165
01:20:34,880 --> 01:20:38,280
Speaker 1: He said, this is He says, this is not a

1166
01:20:38,320 --> 01:20:41,960
Speaker 1: handful of bad actors. It's a staggering, industrial scale fraud.

1167
01:20:42,600 --> 01:20:50,520
Speaker 1: That is swamps Minnesota. Let's see. And he says fourteen

1168
01:20:50,560 --> 01:20:55,320
Speaker 1: flag programs. Found those programs a cost Medicaid eighteen billions.

1169
01:20:55,360 --> 01:20:59,200
Speaker 1: It's twenty eighteen, including more than three and a half

1170
01:20:59,240 --> 01:21:05,840
Speaker 1: billion in twenty twenty four alone. Let's see. And so

1171
01:21:06,000 --> 01:21:08,599
Speaker 1: they all the details of all these different people out there.

1172
01:21:08,600 --> 01:21:10,960
Speaker 1: But I mean, it just keeps getting huge, going bigger

1173
01:21:11,000 --> 01:21:16,240
Speaker 1: and bigger and bigger, and then we have this. We

1174
01:21:16,320 --> 01:21:23,759
Speaker 1: know what that SNAP is, the Supplemental Nutrition Assistance program,

1175
01:21:24,040 --> 01:21:27,800
Speaker 1: and so there was a it's not in Minnesota. Hold on,

1176
01:21:27,840 --> 01:21:31,720
Speaker 1: I think it's in Boston. Hold on, hold on, hold on?

1177
01:21:31,720 --> 01:21:37,000
Speaker 1: What did I do with that? Let me see, Yeah,

1178
01:21:37,400 --> 01:21:43,800
Speaker 1: two Haitian migrants. Federal prosecutors charged two Hatian migrants in

1179
01:21:43,880 --> 01:21:51,519
Speaker 1: Massachusetts with a seven million dollar scam that was getting

1180
01:21:51,560 --> 01:21:57,040
Speaker 1: money out of the out of SNAP. And federal prosecutors

1181
01:21:57,120 --> 01:22:01,320
Speaker 1: unsealed a major fraud indictment wednesday, charging two Haitian immigrants

1182
01:22:01,320 --> 01:22:06,400
Speaker 1: of operating a seven million dollar supplemental nutrition assistance program.

1183
01:22:08,000 --> 01:22:12,160
Speaker 1: It's a benefit tracking scheme out of two small retail

1184
01:22:12,240 --> 01:22:20,080
Speaker 1: storefronts in Boston's at Tapping neighborhood. And of course that

1185
01:22:20,120 --> 01:22:23,880
Speaker 1: may or of Boston is a real winner. Total lib

1186
01:22:24,000 --> 01:22:29,240
Speaker 1: total radical leftist, totally hates Trump, all in favor of

1187
01:22:29,320 --> 01:22:35,800
Speaker 1: illegal aliens hanging out in Boston. And you want to

1188
01:22:35,840 --> 01:22:38,160
Speaker 1: see the pictures of these so called grocery stores, I

1189
01:22:38,160 --> 01:22:43,040
Speaker 1: mean they it. The one is smaller, they call it

1190
01:22:43,080 --> 01:22:45,800
Speaker 1: a grocery store. It's smaller than the room I'm sitting

1191
01:22:45,800 --> 01:22:48,479
Speaker 1: in right now. And that that is, that is not

1192
01:22:48,560 --> 01:22:54,120
Speaker 1: a joke. That is no lie. And it looks it's

1193
01:22:54,240 --> 01:23:00,440
Speaker 1: it's filthy, it looks disease ridden. There there's open conas

1194
01:23:00,479 --> 01:23:03,679
Speaker 1: of stuff. I really don't see anything that you could

1195
01:23:04,360 --> 01:23:06,360
Speaker 1: call groceries in there. But they said this was a

1196
01:23:06,360 --> 01:23:07,360
Speaker 1: grocery store.

1197
01:23:09,560 --> 01:23:10,200
Speaker 5: And uh.

1198
01:23:10,640 --> 01:23:14,599
Speaker 1: And they ran seven million dollars with a fraud through

1199
01:23:14,640 --> 01:23:18,080
Speaker 1: this grocery store. And this is the US attorney talking

1200
01:23:18,120 --> 01:23:21,519
Speaker 1: about this, and she was pretty good on this. Let's

1201
01:23:21,520 --> 01:23:24,320
Speaker 1: hear cut number two. This is on the Snap grocery

1202
01:23:24,320 --> 01:23:26,200
Speaker 1: store scam fail.

1203
01:23:26,400 --> 01:23:30,519
Speaker 9: Bonner and Saul at least may for large scale Snap

1204
01:23:30,560 --> 01:23:34,720
Speaker 9: benefit trafficking, a scheme that turned a program designed to

1205
01:23:34,760 --> 01:23:40,880
Speaker 9: feed families into a multi million dollar criminal enterprise. Stap

1206
01:23:40,920 --> 01:23:45,000
Speaker 9: benefits are also known as food stamps. The defendants are

1207
01:23:45,080 --> 01:23:48,479
Speaker 9: charged with one count of food stamp fraud. As allegend

1208
01:23:48,520 --> 01:23:51,400
Speaker 9: in the charging documents, these men abuse one of the

1209
01:23:51,479 --> 01:23:56,040
Speaker 9: government's most critical safety net programs for their own financial gain.

1210
01:23:56,760 --> 01:23:57,439
Speaker 7: This is a tax.

1211
01:23:57,560 --> 01:24:01,240
Speaker 9: This is taxpayer money meant to keep people from going hungry.

1212
01:24:01,880 --> 01:24:04,600
Speaker 7: These defendants decided to take it for themselves.

1213
01:24:05,160 --> 01:24:09,559
Speaker 9: These defendants exchanged SNAP benefits for cash, which they pocketed.

1214
01:24:10,720 --> 01:24:13,920
Speaker 7: Bonner rational national.

1215
01:24:14,000 --> 01:24:18,799
Speaker 9: Naturalized US citizen, from Haiti owned the Jessuela Variety store.

1216
01:24:19,479 --> 01:24:22,960
Speaker 9: At least may a lawful permanent resident, also from Haiti

1217
01:24:23,320 --> 01:24:27,480
Speaker 9: owned the Saoul Mache mix A store. These two businesses

1218
01:24:27,760 --> 01:24:31,320
Speaker 9: were co located within a single storefront in Boston.

1219
01:24:32,040 --> 01:24:35,559
Speaker 7: To be certain, these were not supermarkets. They were not

1220
01:24:35,720 --> 01:24:37,080
Speaker 7: full service groceries.

1221
01:24:37,720 --> 01:24:40,000
Speaker 9: It would be a huge stretch to even call them

1222
01:24:40,160 --> 01:24:43,920
Speaker 9: convenience stores. In fact, the only thing convenient about these

1223
01:24:43,960 --> 01:24:47,679
Speaker 9: stores was how easy it was to commit snap benefit fraud.

1224
01:24:48,560 --> 01:24:51,960
Speaker 7: To put this in perspective, the Jusuela Variety.

1225
01:24:51,520 --> 01:24:54,400
Speaker 9: Store is less than one hundred and fifty square feet

1226
01:24:54,479 --> 01:24:59,639
Speaker 9: in size, smaller than some bathrooms. The Saoul Mache mix

1227
01:24:59,680 --> 01:25:02,719
Speaker 9: A store was approximately five hundred square feet in space.

1228
01:25:03,560 --> 01:25:07,280
Speaker 9: By contrast, a supermarket can be twenty thousand to sixty

1229
01:25:07,320 --> 01:25:08,479
Speaker 9: thousand square feet.

1230
01:25:08,240 --> 01:25:10,280
Speaker 7: In size, have a dozen or more.

1231
01:25:10,200 --> 01:25:15,320
Speaker 9: Registers, and employ numerous employees. Both a Jsuela Variety and

1232
01:25:15,400 --> 01:25:20,280
Speaker 9: sal Mache mix A stores had one register, no carriages,

1233
01:25:20,760 --> 01:25:25,200
Speaker 9: no hand baskets, and very little food for sale. One

1234
01:25:25,280 --> 01:25:29,439
Speaker 9: legitimate supermarket in the same area as these stores Redeems

1235
01:25:29,479 --> 01:25:34,360
Speaker 9: approximately eighty thousand dollars in snap benefits per month over

1236
01:25:34,400 --> 01:25:38,640
Speaker 9: the last twenty months. The Jusuela Variety store was redeeming

1237
01:25:38,880 --> 01:25:43,839
Speaker 9: between three and six times that amount monthly, with nowhere

1238
01:25:43,840 --> 01:25:48,479
Speaker 9: near the space, inventory, customers, or infrastructure to support it.

1239
01:25:49,000 --> 01:25:52,679
Speaker 9: The sal Mache mix A store redeemed over one hundred

1240
01:25:52,760 --> 01:25:56,719
Speaker 9: twenty thousand dollars in Snap benefits in the last six months.

1241
01:25:57,200 --> 01:26:02,240
Speaker 9: Simply put, there is no plausible way SNAP eligible.

1242
01:26:01,800 --> 01:26:06,080
Speaker 7: Food could have been purchased from these stores for this long.

1243
01:26:06,880 --> 01:26:10,560
Speaker 9: Yet these two stores are alleged to have illicitly trafficked

1244
01:26:10,800 --> 01:26:13,800
Speaker 9: nearly seven million dollars in Snap benefits.

1245
01:26:14,320 --> 01:26:17,120
Speaker 7: The fraud was shocking and glaring.

1246
01:26:19,200 --> 01:26:22,960
Speaker 1: So there you go. And I mean, and you want

1247
01:26:22,960 --> 01:26:26,960
Speaker 1: to say that. The pictures of these stores, they're out

1248
01:26:26,960 --> 01:26:28,400
Speaker 1: there on the internet. You can look them up if

1249
01:26:28,400 --> 01:26:35,960
Speaker 1: you want. This one dude bon Air allegedly applied for

1250
01:26:36,040 --> 01:26:39,439
Speaker 1: Snap benefits for himself, claiming he had zero income despite

1251
01:26:39,479 --> 01:26:43,360
Speaker 1: owning a business raking in hundreds of thousands of dollars

1252
01:26:43,400 --> 01:26:50,439
Speaker 1: a month in Snap redemptions. Investigators say he falsely claimed

1253
01:26:50,479 --> 01:26:55,599
Speaker 1: no income other than Social Security, collected over ten eight

1254
01:26:55,680 --> 01:27:00,200
Speaker 1: hundred dollars in Snap benefits. Every single Snap transaction on

1255
01:27:00,320 --> 01:27:04,360
Speaker 1: his personal EBT card was conducted at his own store.

1256
01:27:06,439 --> 01:27:09,400
Speaker 1: The other dude allegedly ran a similar operation out of

1257
01:27:09,400 --> 01:27:13,120
Speaker 1: a slightly larger but still minuscule store about five hundred

1258
01:27:13,160 --> 01:27:20,040
Speaker 1: square feet, which is probably smaller than your garage if

1259
01:27:20,080 --> 01:27:23,840
Speaker 1: you have a garage at home, I mean thing you

1260
01:27:23,840 --> 01:27:26,559
Speaker 1: think about that, Could you run a grocery store out

1261
01:27:26,560 --> 01:27:32,479
Speaker 1: of your garage? I don't know. Despite minimal inventory un

1262
01:27:32,479 --> 01:27:35,479
Speaker 1: limited eligible food items, the store reportedly trafficked over one

1263
01:27:35,520 --> 01:27:38,880
Speaker 1: hundred and twenty one thousand dollars of SNAP benefits in

1264
01:27:39,000 --> 01:27:43,160
Speaker 1: just a few months it opened to twenty twenty five.

1265
01:27:45,080 --> 01:27:50,120
Speaker 1: So yeah, I'm very industrious. Of these two, one dude

1266
01:27:50,200 --> 01:27:54,400
Speaker 1: is like seventy something years old, the other dude's seventy four,

1267
01:27:55,600 --> 01:27:59,040
Speaker 1: and the other dude's twenty one. So this guy was

1268
01:27:59,640 --> 01:28:03,599
Speaker 1: learning from his mentor and how to rip off the government.

1269
01:28:06,200 --> 01:28:10,439
Speaker 1: So then good work by those US attorneys. Seven million

1270
01:28:10,520 --> 01:28:16,639
Speaker 1: dollars in Snap from the from the Boston area, another

1271
01:28:16,800 --> 01:28:21,960
Speaker 1: liberal Democrat, and the corruption just goes on eleven twenty

1272
01:28:22,000 --> 01:28:24,439
Speaker 1: five news coming up at the bottom of the hour.

1273
01:28:24,560 --> 01:28:27,920
Speaker 1: We rolled till midnight tonight five one, three, seven, four, nine,

1274
01:28:27,960 --> 01:28:30,840
Speaker 1: seven thousand, eight hundred, the big one on seven hundred

1275
01:28:30,960 --> 01:28:31,400
Speaker 1: wom