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Speaker 1: Why from ball Hartbeiner and the Crossroads of America.

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Speaker 2: It's Tony Katz today, Yes, it is Tony Kats today.

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Speaker 2: I am Mike Coolidge in for mister Kats. That's right.

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Speaker 2: It is the end of the week and there's a

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Speaker 2: lot of news. This is Matt. I don't know, maybe

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Speaker 2: the fourth or fifth time I've filled in for Tony Katz.

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Speaker 2: And it's never been a slow news day, they say,

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Speaker 2: in news, or in radio or in any sort of broadcasting.

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Speaker 2: There's no such thing as a slow news day. You

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Speaker 2: can make anything interesting, everybody knows, especially the you know,

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Speaker 2: times between holidays or between like Christmas and New Year,

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Speaker 2: for example. It is occasionally slow, right, there's not a

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Speaker 2: whole lot of press releases going out and things. But

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Speaker 2: when there's awful things that occur that can happen anytime, right.

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Speaker 2: And this murder that happened at Brown University and the

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Speaker 2: ensuing chaos that the officials there were conducting, as far

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Speaker 2: as reporting about it goes, talk about a comedy of

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Speaker 2: errors for something really serious. People were murdered, students were

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Speaker 2: murdered at Brown University, and the apparatus there at this

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Speaker 2: college purportedly supposedly the biggest group of intellectuals in the

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Speaker 2: world are at the Ivy League schools, right, Brown, Harvard, Princeton, Cornell.

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Speaker 2: I know there's some other Ivy Leagues that I'm that

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Speaker 2: I'm not remembering. I think Penn is in the Ivy League, right,

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Speaker 2: University of Pennsylvania, not Penn State. Uh, there's supposed to

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Speaker 2: be the smartest people on the planet, right. People have

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Speaker 2: come from all over to go to school there, and

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Speaker 2: the administrators there are you know super. I went to

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Speaker 2: college in Boston. I went to Boston University, not a

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Speaker 2: Ivy League school that was. That was very much pointed

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Speaker 2: out to us when we're up there, because you know,

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Speaker 2: we're with Harvard right across the Charles River and m

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Speaker 2: I T which is, you know, Harvard Caliber. Obviously Boston

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Speaker 2: College had its own you know, reputation and whatnot. Be

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Speaker 2: you was surprised Boston College and it's uh in its

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Speaker 2: reputation since since I left in the late nineties. But uh,

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Speaker 2: the the sort of snobbery that happens in New England,

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Speaker 2: especially in these towns that have the big universities and

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Speaker 2: the Ivy League universities. Oh yeah, yeah, I forgot about

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Speaker 2: Yale how can you forget Yale. They have a very

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Speaker 2: high opinion of themselves because they're known as like the

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Speaker 2: intellectuals throughout throughout the world, the Ivy leaguers, and in

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Speaker 2: the surrounding area of these universities. Yeah, the people who

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Speaker 2: are the mayors of these towns, they're supposed to be

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Speaker 2: that sort of caliber. You know, Well, didn't see a

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Speaker 2: whole lot of that when they were trying to catch

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Speaker 2: this killer. And the news today is that a forty

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Speaker 2: eight year old Portuguese national named Claudio Manuel Nevez Valente

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Speaker 2: is identified by authorities as the suspect in the deadly

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Speaker 2: shooting at Brown University in Providence, Rhode Island, that happened

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Speaker 2: on December thirteenth, And the news today, which we found

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Speaker 2: out last night, was that he took his own life,

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Speaker 2: This Claudio Manuel Nevez Valante, in a storage facility in

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Speaker 2: or near Brookline, Massachusetts. On December thirteenth, twenty twenty five,

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Speaker 2: gunman opened fire in the Barrison Holly Engineering Building during

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Speaker 2: a finals review session for an economics class, killing two students,

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Speaker 2: Muhammad Disease Who's Morokov eighteen years old and Ella Cook

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Speaker 2: nineteen years old. Injured nine others. Valente had a brief

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Speaker 2: prior connection to Brown University. He enrolled in a PhD

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Speaker 2: program in physics from fall two thousand to spring two

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Speaker 2: thousand and one, took a leave of absence, and formerly

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Speaker 2: withdrew in two thousand and three with no subsequent affiliation.

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Speaker 2: Authorities linked him to the fatal shooting of MIT physics

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Speaker 2: professor Nuno FG. Louriello or Lourierro at his home in Brookline, Massachusetts,

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Speaker 2: on December fifteenth, twenty twenty five. Blent Day and Loreno

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Speaker 2: attended the same undergraduate program in physics in Portugal from

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Speaker 2: nineteen ninety five to two thousand, though no personal relationship

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Speaker 2: is confirmed. After a multi day manhunt involving surveillance footage,

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Speaker 2: a rental car trace, and a citizen tip, Lente was

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Speaker 2: found dead yesterday in a storage unit. I'm sorry in Salem,

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Speaker 2: New Hampshire. I misspoke. It was not in Massachusetts. It

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Speaker 2: was in Salem, New Hampshire, from his self inflicted gunshot wound.

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Speaker 2: Two firearms were recover As far as we know right now,

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Speaker 2: he acted alone with no prior US criminal record. Investigators

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Speaker 2: have not established a clear motive as of today, describing

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Speaker 2: it as ongoing with many unknowns. Why target Brown now

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Speaker 2: or these specific victims. The case is considered closed following

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Speaker 2: his death, though no probes into motives continue. I don't know, uh,

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Speaker 2: I don't think if authorities conclude that this man did it,

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Speaker 2: that the investigation should conclude, because, like any time life

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Speaker 2: or death things occur, you would think that people would

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Speaker 2: have an investigation to decide what went wrong here? How

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Speaker 2: did this happen? How can it be prevented? Now? Obviously,

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Speaker 2: when someone is hell bent on murdering other people, and

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Speaker 2: as we found out with this guy, you know, if

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Speaker 2: he was indeed the killer, and that's what it looks like,

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Speaker 2: he was suicidal himself, so he didn't value his own life.

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Speaker 2: It's really hard to stop that kind of thing, right,

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Speaker 2: It's really hard, you can, you know, After anything like

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Speaker 2: this happens, there's the reflexive, knee jerk responses that people

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Speaker 2: often go to. They say, mental illness, We need more,

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Speaker 2: you know, help with mental illness. And then of course

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Speaker 2: the gun control nuts come out and say, we have

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Speaker 2: too many guns in this country. That's what did it there?

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Speaker 2: This this requires a little bit more scrutiny here because

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Speaker 2: the Keystone cops and really inept officials that have been

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Speaker 2: conducting these press conferences of the last couple of days,

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Speaker 2: not just the local officials, but the people in charge

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Speaker 2: of Brown University, the administrators and leaders and president there

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Speaker 2: and all that they have an Again, I put this

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Speaker 2: up there and I laid this out about them being

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Speaker 2: these quote unquote intellectuals, because you would think somebody with

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Speaker 2: really high IQs or people with really high IQ's, and

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Speaker 2: people who are really smart have good judgment, right, can

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Speaker 2: make wise decisions about things. Well, we've found out over

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Speaker 2: these crazy press conferences the last couple of days that

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Speaker 2: there were no cameras in the building where this murder occurred.

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Speaker 2: This double murder occurred. And again we shouldn't just say

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Speaker 2: two people were murdered. We should add too that nine

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Speaker 2: others were injured. Well comed a these Amroskough and Ella

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Speaker 2: Cook were the victims here. I mean, we can just

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Speaker 2: speculate that they were not targeted because of who they were.

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Speaker 2: I'm just going to speculate that because this guy was

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Speaker 2: forty eight years old and it's probably hard to imagine

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Speaker 2: that he was connected in some way to these two people.

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Speaker 2: They were probably innocent bystanders who were caught up in

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Speaker 2: whatever he whatever reason in his mind, whatever motive he

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Speaker 2: had to go into a university with a weapon. Could

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Speaker 2: have been a knife, could have been a grenade. In

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Speaker 2: his case, it was a gun. He was hell bent

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Speaker 2: on creating mayhem and killing people, and he did. He

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Speaker 2: was successful. And was there a way to this from happening?

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Speaker 2: And is there a way to prevent things like this

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Speaker 2: from happening in the future if neglect occurred, if idiotic

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Speaker 2: procedures or decisions were made by local authorities, particularly local

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Speaker 2: people in charge of Brown University, there should be consequences

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Speaker 2: for that. Right, Why were cameras not in this old building?

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Speaker 2: You can put that was the press conference earlier this week,

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Speaker 2: one of the ones I watched. One of the responses

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Speaker 2: was that the reason that there weren't cameras in the

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Speaker 2: building was because it was old or something. What kind

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Speaker 2: of an answer is that there's the age of a

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Speaker 2: building doesn't preclude it from having cameras in it, whether

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Speaker 2: it was built in you know, Brown's probably, I mean Harvard,

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Speaker 2: I know was in the sixteen hundreds. Harvard predates the

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Speaker 2: United States of America. Yale didn't come that far after.

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Speaker 2: I don't know when Brown University was made, but you know,

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Speaker 2: let's let's says it's two and a half. You know,

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Speaker 2: two h and fifty years old. That doesn't mean that

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Speaker 2: the buildings there can't have cameras in them. Now, there

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Speaker 2: was word that one of the reasons that there were

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Speaker 2: no cameras in the building was something to do with

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Speaker 2: the ANTSI ICE people. You know, places like Brown University

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Speaker 2: are infested with far far far leftist radicals running it,

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Speaker 2: and there was speculation that putting cameras in buildings might

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Speaker 2: help federal authorities like ICE do their job in a

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Speaker 2: costing and you know, when they find out that they're

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Speaker 2: in is there's an illegal migrant or an illegal alien

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Speaker 2: in their midst. They are charged to find those illegal

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Speaker 2: aliens and you know, arrest them and eventually deport them.

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Speaker 2: But cameras in the building might assist ICE people. Again,

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Speaker 2: this was speculation that the cameras were not in the building,

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Speaker 2: they were removed because it might help ICE identify illegal aliens.

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Speaker 2: And then there's some other really really weird things happening

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Speaker 2: or coming out about this, which we're going to get

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Speaker 2: to as the show develops, stuff to do with the

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Speaker 2: man who apparently there was some person who lived in

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Speaker 2: the building where this occurred, a homeless man who lived

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Speaker 2: in the building who is a graduate of Brown University.

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Speaker 2: So again, a really really smart person who happens to

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Speaker 2: be homeless and is living in the building. He gave

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Speaker 2: some tip that led to this, And that's the next

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Speaker 2: question is why are there homeless people living in Brown

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Speaker 2: University's buildings? Is that a what is that all about?

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Speaker 2: There's a lot to dig into here, and there's more

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Speaker 2: news coming out about it. I guess it's I don't

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Speaker 2: want to call it good news, but it's news that

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Speaker 2: leads to the conclusion that people aren't in danger there

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Speaker 2: anymore in the Providence, Rhode Island area that Brown University

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Speaker 2: is if the man who allegedly did this, Claudio Manuel Nevesvalande,

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Speaker 2: took his own life, so he's not on the loose

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Speaker 2: anymore and he's not a threat to the community because

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Speaker 2: he killed himself. But still we need some questions answered

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Speaker 2: about how he was able to do this, how he

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Speaker 2: was able to be not caught for as long as

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Speaker 2: he was, and what sort of things do people who

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Speaker 2: maybe were negligent in this situation, in this awful tragedy.

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Speaker 2: Is there some come up and some you know, holding

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Speaker 2: of accountability that needs to happen. Over the next couple

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Speaker 2: of days. We'll get into that and more on this

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Speaker 2: end of the week edition of Tony Kats Today. I

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Speaker 2: am Mike Coolidge in for Tony. We'll be right back.

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Speaker 2: We are back on Tony Katz today. Little Christmas music there, Yeah,

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Speaker 2: I am Mike Coolidge in for Tony Katz. I know

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Speaker 2: that our great friend Tony celebrates Tonica. Happy Panica to

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Speaker 2: all of our Jewish brethren out there. I am Christian.

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Speaker 2: I celebrate Christmas, and we also have the the you know,

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Speaker 2: secular holiday that is really Christmas. And I usually when

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Speaker 2: I am out and about, if I know someone's Jewish,

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Speaker 2: will say Happy Honkah and then the default though this

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Speaker 2: time of year I say, is Merry Christmas. I rarely

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Speaker 2: say the Happy Holidays. I know, I know it's a

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Speaker 2: big thing. I know it's a it's been a you know,

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Speaker 2: the war on Christmas for years. I was a participant

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Speaker 2: in that war on Christmas, not against it, for it.

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Speaker 2: I always say Merry Christmas. Two people. And I grew

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Speaker 2: up my first eighteen years of my life, I grew

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Speaker 2: up in New Jersey. I think Tony Katz has some

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Speaker 2: New Jersey past as well. And I have many friends

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Speaker 2: who were Jewish, so those that were Jewish, I said

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Speaker 2: happy Honkah too. I still a friend who are joys say, well,

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Speaker 2: you know, and I find out when it is. Sometimes

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Speaker 2: Hankah it's really early. It's like you know, starts in

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Speaker 2: late November. Sometimes it's past Christmas. I know this particular

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Speaker 2: time of year it is coinciding with Christmas, so it's

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Speaker 2: appropriate to say Merry Christmas and Happyanica. But when Hankah's over,

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Speaker 2: I just say Merry Christmas and then Happy New Year

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Speaker 2: when it is around. I don't like the dilution of Christmas,

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Speaker 2: although I know holiday technically stands for holiday. But it's

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Speaker 2: funny when you go to Great Britain or the UK,

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Speaker 2: they don't use that term happy holidays. It's a much

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Speaker 2: more secular country than the United States is, but it's

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Speaker 2: Happy Christmas and Merry Christmas there. They don't use the

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Speaker 2: happy holidays. Not a thing. I like that about Great Britain.

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Speaker 2: It's either Merry Christmas or Happy Christmas or Happy Onica.

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Speaker 2: Those are the only two holidays at this time, particularly

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Speaker 2: of year before New Year's Eve of course. All right.

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Speaker 2: Oh and by the way, I found out I'm gonna

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Speaker 2: be filling in views for mister Katz on New Year's

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Speaker 2: Eve and the Monday after New Year's Day, so I'll

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Speaker 2: be traveling in, out and about. But yeah, I'll be

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Speaker 2: joining the fantastic Tony Katz listeners in the new twenty

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Speaker 2: twenty six as well as the last day of twenty

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Speaker 2: twenty five. We might put together some kind of you know,

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Speaker 2: best of the year sort of news things. It'll be live,

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Speaker 2: have no fear, but it'll be a little bit and

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Speaker 2: we'll try to have fun. Today we're not having fun.

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Speaker 2: No fun today. Listen to this news conference about the

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Speaker 2: terrible double murder that happened at Brown University which killed

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Speaker 2: two people and nine and injured nine others. This is

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Speaker 2: a radio host there, fellow radio host asking one of

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Speaker 2: the only media people they're seeming to ask tough questions

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Speaker 2: to the authorities there, and listen to how the authorities

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Speaker 2: there handle it.

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Speaker 3: Okay, I'm gonna end with one last I'm gonna end

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Speaker 3: with one mantimoney.

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Speaker 4: It cost these investigations round one to reverse the money

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Speaker 4: to the city on the saying and she only get

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Speaker 4: some money to the gentlemen get the license, playing over

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Speaker 4: the whole a person.

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Speaker 2: So I think Ronn is so.

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Speaker 3: Thank you for the question. I will say I can't

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Speaker 3: speak for other agencies we have the City of Providence.

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Speaker 3: We have not yet assessed what the cost of this investigation.

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Speaker 3: Let me finish my answer.

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Speaker 5: We have not yet.

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Speaker 3: We have not yet assessed what the cost and all

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Speaker 3: that we're done. Okay, okay, listen, one last one, last one,

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Speaker 3: last positive announcement. As has been said multiple times, the

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Speaker 3: investigation continues. I know there's lots of questions around motive

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Speaker 3: and otherwise. The individuals here are still hard at work.

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Speaker 3: Yesterday we gave an update with respect to the survivors.

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Speaker 3: I'm happy to say that one condition was upgraded and

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Speaker 3: now all six survivors are in stable condition. It is

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Speaker 3: an important to not lose fact of the fact that

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Speaker 3: six people are still in the hospital who I know

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Speaker 3: would welcome our prayers. This has been a traumatic moment

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Speaker 3: for our community. I hope that today's announcement starts the

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Speaker 3: healing process and provides some closure for that. As the governor,

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Speaker 3: I think very eloquently stated lots of people are going

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Speaker 3: to leave town today, but the rest of us will

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Speaker 3: all still be here and we're going to have a

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Speaker 3: long road ahead.

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Speaker 2: Let's hope that they allow themselves to be asked the

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Speaker 2: tougher questions. So far they really haven't been. They shout

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Speaker 2: down the tough questions like that. This is Mike Coolidge

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Speaker 2: in for Tony Katz today. We will be right back.

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Speaker 2: Don't go anywhere.

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Speaker 6: I hope you aren't listening to the arys of that

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Speaker 6: little word about Santa Claus. There great song by the Kinks,

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Speaker 6: Father Christmas, Merry Christmas season.

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Speaker 2: And Happy Hanukah to all. I am Mike Coolidge. That

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Speaker 2: spelled with the K K O O l I d

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Speaker 2: g E. You can find me on X again. It's

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Speaker 2: spelled with a K, just like Tony Katz. I'm with

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Speaker 2: a K though K O L I d g E.

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Speaker 2: Follow me on the X and who knows I might

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Speaker 2: follow you back. We have two and a half more

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Speaker 2: hours of radio awesomeness to deliver you today. And if

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Speaker 2: you are one of those awesome listeners who listens to

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Speaker 2: all three hours, I know most people, don't you know

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Speaker 2: you might be on your way to the airport right now.

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Speaker 2: You might be coming back from the airport. You might

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Speaker 2: be driving in your car for fifteen minutes, and this

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Speaker 2: is the only fifteen minutes you'll hear if you happen

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Speaker 2: to be listening. In the second hour, we're gonna have

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Speaker 2: Kevin Jackson on. He's a radio host in his own right,

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Speaker 2: it's a friend of mine, and he is gonna chime

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Speaker 2: in on this viral story or i should say article

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Speaker 2: called the Lost Generation, and that even Vice President jd

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Speaker 2: Vance tweeted about this week's story of this guy who

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Speaker 2: was trying to make it in Hollywood for fifteen years

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Speaker 2: and chronicled the DEI extremism out there that consciously, openly,

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Speaker 2: proudly prevented a certain racial group and a certain gender

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Speaker 2: from succeeding and getting cast in things. Will try to

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Speaker 2: have you figure out what particular racial group that was

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Speaker 2: and gender, and I mean very open about it too.

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Speaker 2: But the Lost Generation, I've never seen It's been a

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Speaker 2: while since I've seen a piece like this go viral.

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Speaker 2: We're going to dig into that in the second hour

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Speaker 2: very deeply on this end of the week show. But

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Speaker 2: a little bit more about this Brown University news and

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Speaker 2: this will probably we go away out of the news cycle,

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Speaker 2: and honestly, in Providence, I'm sure it will continue. They're

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Speaker 2: gonna as they should keep the you know, mayor and

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Speaker 2: the police chief there and the administrators at Brown University accountable,

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Speaker 2: and they have a lot of answers uh to questions

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Speaker 2: you know that that that needs to there's a lot

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Speaker 2: of unanswered questions and they need to be held to

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Speaker 2: be held accountable to prevent something like this from happening again. Right, Uh,

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Speaker 2: But there are things we can learn, perhaps because these

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Speaker 2: killers who are hell bent on murdering people regardless of

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Speaker 2: what weapon they use. Could be a knife, could be

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Speaker 2: a grenade, could be a gun, could be a handgun,

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Speaker 2: could be a shotgun. I know, there's all sorts of

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Speaker 2: drills that schools do.

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Speaker 5: Uh.

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Speaker 2: There's a there's a man in my neck of the

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Speaker 2: woods in northern Illinois. I'm only one one, uh one

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Speaker 2: stayed over from from Tony Katz. This man named Mark Dallas,

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Speaker 2: who was a security officer at a school where a

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Speaker 2: you look him up, it's a it's a it's a

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Speaker 2: great story because he stopped a school shooting from occurring

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Speaker 2: by stopping a kid who had a gun and was

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Speaker 2: gonna kill people out of school in Dixon, Illinois, and

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Speaker 2: this security officer stopped him. That that's the best case scenario.

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Speaker 2: And he was invited to watch the State of the

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Speaker 2: Union address during President Trump's first term. Mark Dallas really

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Speaker 2: really a hero. And you don't hear much about it

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Speaker 2: because nothing happened, you know, nobody. The kid was arrested

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Speaker 2: and went to jail, but nobody was hurt, nobody was killed,

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Speaker 2: Thank God. There are things we can do when if

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Speaker 2: you you know, see something, say something, something just looks

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Speaker 2: a little fishy, a little bit weird. But the person

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Speaker 2: that tipped the authorities off at this Brown University shooting.

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Speaker 2: This is from Kimberly Crusae in the Associated Press. This

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Speaker 2: just came out hours ago. Information from NBC Boston. Information

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Speaker 2: from a tipster who had a strange encounter with another

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Speaker 2: man on a sidewalk outside Brown University was key to

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Speaker 2: police identifying the suspect they believe killed two students at

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Speaker 2: the school and two days later gone down a MIT

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Speaker 2: professor known only as John in a Providence police affidavit.

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Speaker 2: The source is being hailed by investigators as the key

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Speaker 2: figure who gave law enforcement the details needed to determine

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Speaker 2: who is behind the Brown shooting, as well as the

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Speaker 2: killing of the MIT professor who shot in his Brookline

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Speaker 2: home on Monday. Ever since a shooter unloaded more than

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Speaker 2: forty rounds inside of Brown Engineering building, anxiety and frustration

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Speaker 2: has plagued Providence, Rhode Island, as police appeared no closer

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Speaker 2: to identifying the person yet. On the sixth day of

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Speaker 2: the investigation, the case gathered steam, ending with police announcing

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Speaker 2: late Thursday that they had found the suspected gunman dead

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Speaker 2: from self inflicted gunshot wound in New Hampshire. The tipster

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Speaker 2: John was the reason why he blew the case right open,

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Speaker 2: said Rhode Island Attorney General Peter Narana of the information

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Speaker 2: provided by the individual that resulted in finding the gunman

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Speaker 2: nearly twenty four hours after they received this information. When

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Speaker 2: you crack it, you crack it sounds a little self

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Speaker 2: congratulatory there, because this anonymous tipster came to them. He

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Speaker 2: didn't the authorities didn't find this guy. According to police,

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Speaker 2: John had several encounters. This is the tipster with forty

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Speaker 2: eight year old Claudio Manuel nvez Vlente before Saturday's attack.

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Speaker 2: As police posted images of a person of interest now

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Speaker 2: identified as the killer. John began posting on the social

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Speaker 2: media form Reddit that he recognized the person and theorized

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Speaker 2: that people should look into possibly a rental gray Nissan.

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Speaker 2: Reddit users urged him to tell the FBI, and John

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Speaker 2: said he did. The police APPI David said they learned

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Speaker 2: about the tip on December sixteenth, three days after the

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Speaker 2: shooting and a day after the tip line was created.

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Speaker 2: Up until that point, the police APPI David says officials

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Speaker 2: had not connected a vehicle to the possible shooter. That

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Speaker 2: detail led them to get more video of a Nissan

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Speaker 2: Sentra sedan with Florida plates and enabled Providence police officers

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Speaker 2: to tap into a network of more than seventy street

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Speaker 2: cameras operated around the city by surveillance company Flock Safety.

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Speaker 2: None of those cameras were in the building when this occurred.

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Speaker 2: There were no cameras in there, cameras everywhere else. It

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Speaker 2: seems right. I mean, we live in a society these

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Speaker 2: days where cameras are everywhere, and they're not just from

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Speaker 2: government surveillance, from people walking around with the phones. That's

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Speaker 2: the other thing that which didn't quite make the press

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Speaker 2: conference at all. There were dozens of eyewitnesses to this killing,

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Speaker 2: and he did yell stuff at the He yelled things

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Speaker 2: while he was shooting his rightfle his weapon that killed

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Speaker 2: two students. But no one knows what he said and

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Speaker 2: no one would report what he said. The abbidavit says

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Speaker 2: John the Tipster gave investigators additional critical details. He encountered

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Speaker 2: the killer in the bathroom of the engineering building just

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Speaker 2: hours before the attack, where John noted the suspect's clothing

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Speaker 2: was inappropriate and inadequate for the weather. John also bumped

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Speaker 2: into the outside mere blocks from the building, where John

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Speaker 2: the Tipster watched the killer suddenly turn around from the

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Speaker 2: Nissan when he saw John the Tipster. What ensued was

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Speaker 2: a game of cat and mouse, according to John's testimony,

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Speaker 2: where the two would encounter each other and the killer

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Speaker 2: would run away. At one point, John says he yelled out,

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Speaker 2: your car is back here. Why are you circling the block?

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Speaker 2: The suspect responded, I don't know you from nobody. Then

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Speaker 2: the suspect repeatedly asked, why are you harassing me? According

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Speaker 2: to the fi David John told police he eventually saw

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Speaker 2: Valente approach the Nissan Sidan once more and decided to

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Speaker 2: walk away. Respectfully. I have said all I have to

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Speaker 2: say on the matter to the right people, the tipster

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Speaker 2: wrote on read It. As of Thursday, it's on whether

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Speaker 2: John will receive the fifty thousand dollars reward. Ted Dox,

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Speaker 2: the Special Agent in charge of the FBI, said it

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Speaker 2: was possible when asked by reporters, it would be logical

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Speaker 2: to think that he's entitled to it, et cetera. Yeah,

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Speaker 2: so just a really odd situation that led to this killer,

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Speaker 2: not us not knowing right away what you know, he

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Speaker 2: looked like it was. The video surveillance footage was from

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Speaker 2: him outside the building, But if they had cameras in

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Speaker 2: the building, you know, we're not looking to see the

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Speaker 2: actual murder occurring, but could have probably had some nice

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Speaker 2: zoom in pictures of his face, could have maybe found

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Speaker 2: this guy a lot earlier. We could have maybe maybe

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Speaker 2: saved the life of the professor in Massachusetts at MIT

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Speaker 2: who he killed. I mean, if footage was put out

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Speaker 2: immediately after this occurred, that this guy is on the lamb,

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Speaker 2: somebody find him, Gray Nissan, he went, he could have

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Speaker 2: been pulled over, you know, that next day. Instead he

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Speaker 2: went and killed someone else and then killed himself at

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Speaker 2: a storage unit in New Hampshire. So I know these

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Speaker 2: kind of phrases become cliches in a situation like this,

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Speaker 2: but blood on your hands comes to light when you

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Speaker 2: don't do the things that you could do after something

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Speaker 2: awful like this occurs. Talking about local authorities, talking about

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Speaker 2: the police chief there, talking about the people running Brown University.

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Speaker 2: You know what a statistic I heard too that the

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Speaker 2: amount of administrators at Brown University are one for every

431
00:30:53,640 --> 00:30:58,320
Speaker 2: two students. This is kind of an aside, but you

432
00:30:58,360 --> 00:31:03,520
Speaker 2: know this is these IVY leagues multi billion dollar endowment. Okay,

433
00:31:03,560 --> 00:31:08,360
Speaker 2: they have a bottomless pit of money, and so they

434
00:31:08,440 --> 00:31:10,880
Speaker 2: just keep adding staff and adding staff and adding staff.

435
00:31:10,920 --> 00:31:13,560
Speaker 2: And this is how the uh I know this is.

436
00:31:13,640 --> 00:31:16,200
Speaker 2: This is separate from the murder. It's just in the side,

437
00:31:16,600 --> 00:31:19,880
Speaker 2: but it goes to so many other issues and problems

438
00:31:19,920 --> 00:31:25,720
Speaker 2: with this country, with how the tuition at not just

439
00:31:25,800 --> 00:31:28,040
Speaker 2: IVY League schools, but state schools, I mean the state

440
00:31:28,080 --> 00:31:30,600
Speaker 2: we live in. Illinois's tuition absolutely through the roof. So

441
00:31:30,680 --> 00:31:34,320
Speaker 2: much of it has to do with the administrators and

442
00:31:34,360 --> 00:31:41,040
Speaker 2: the staff of these colleges. Two administrators per student. I'm

443
00:31:41,080 --> 00:31:45,160
Speaker 2: sorry two students per administrator. So, however many people there

444
00:31:45,160 --> 00:31:47,040
Speaker 2: are at Brown University, Let's say that there's I don't know,

445
00:31:47,080 --> 00:31:52,680
Speaker 2: fifteen thousand. They've got seven thousand administrators, seven thousand employees there.

446
00:31:52,760 --> 00:31:56,040
Speaker 2: That's insane. That costs those costs a lot of money.

447
00:31:56,160 --> 00:31:59,720
Speaker 2: So seven thousand people. Again I'm pulling the numbers out,

448
00:32:00,520 --> 00:32:03,640
Speaker 2: but it's you know, half of the amount of students there.

449
00:32:03,640 --> 00:32:06,360
Speaker 2: It should be like, what, how many people do you

450
00:32:06,360 --> 00:32:10,560
Speaker 2: need to run a university of fifteen thousand students? One

451
00:32:10,640 --> 00:32:16,600
Speaker 2: hundred maybe two hundred seven thousand. That's a lot. And

452
00:32:16,920 --> 00:32:23,040
Speaker 2: among those seven thousand, none of them, you know, after

453
00:32:23,440 --> 00:32:27,720
Speaker 2: this awful thing occurred at least, And who knows, I

454
00:32:27,720 --> 00:32:32,440
Speaker 2: shouldn't jump to this conclusion. Maybe hopefully the people in

455
00:32:32,520 --> 00:32:35,800
Speaker 2: charge at Brian University are really getting hard questions answered

456
00:32:36,080 --> 00:32:39,640
Speaker 2: about this, because again you can't. There's only so much

457
00:32:39,680 --> 00:32:44,240
Speaker 2: you can do to stop someone who's hell bent on

458
00:32:44,360 --> 00:32:47,320
Speaker 2: murdering people from murdering people, especially if he doesn't value

459
00:32:47,360 --> 00:32:50,760
Speaker 2: his own life. You know, a suicide attack or a

460
00:32:50,920 --> 00:32:54,640
Speaker 2: you know, suicide by cop that killers do often, or

461
00:32:54,680 --> 00:32:56,720
Speaker 2: someone who is just you know, ready to take someone

462
00:32:56,760 --> 00:32:59,960
Speaker 2: else's life, they often take their own there's almost no

463
00:33:00,080 --> 00:33:02,360
Speaker 2: much you could do to stop that. But there are

464
00:33:02,520 --> 00:33:06,800
Speaker 2: things you can attempt to do, and there are things

465
00:33:06,800 --> 00:33:11,000
Speaker 2: you can do like the Mark Dallas hero I talked

466
00:33:11,040 --> 00:33:14,920
Speaker 2: about in Illinois who took proactive action to stop a

467
00:33:14,960 --> 00:33:18,160
Speaker 2: shooter from from killing people and Dixon Illinois years ago.

468
00:33:19,280 --> 00:33:22,360
Speaker 2: And then also if God forbid a killer is successful,

469
00:33:22,360 --> 00:33:25,080
Speaker 2: remember that was it? The was it? I forget which

470
00:33:25,680 --> 00:33:28,560
Speaker 2: killing it was. I think it was in Florida where

471
00:33:28,840 --> 00:33:31,560
Speaker 2: the people who went to the scene or the cops

472
00:33:31,640 --> 00:33:35,000
Speaker 2: just stayed outside for you know, an inordinate amount of

473
00:33:35,000 --> 00:33:40,000
Speaker 2: time before uh and and countless other people died. It

474
00:33:40,080 --> 00:33:45,400
Speaker 2: was just absolutely insane. But in any event, we are

475
00:33:45,400 --> 00:33:47,280
Speaker 2: going to take a break and we will be right back.

476
00:33:47,400 --> 00:33:49,800
Speaker 2: This is Tony Katz today. I am Mike Coolidge in

477
00:33:49,840 --> 00:33:53,120
Speaker 2: for Tony. Stay with us. We are back on Tony

478
00:33:53,240 --> 00:33:59,160
Speaker 2: Katz today. I am Mike Coolidge in for Tony Katz.

479
00:33:59,600 --> 00:34:02,120
Speaker 2: Coolidge spelled with a K K O O L I

480
00:34:02,320 --> 00:34:07,040
Speaker 2: d G E. Follow me on X and Merry Christmas

481
00:34:07,040 --> 00:34:10,520
Speaker 2: to you and yours and happy Hanukkah to those celebrating.

482
00:34:10,960 --> 00:34:14,960
Speaker 2: You might be on your way to the airport, and

483
00:34:15,520 --> 00:34:21,000
Speaker 2: if you are, I read a piece that said, Please,

484
00:34:21,640 --> 00:34:23,919
Speaker 2: for the love of all things holy, do not put

485
00:34:23,960 --> 00:34:28,399
Speaker 2: your coat in the overhead bin. That is a new

486
00:34:28,480 --> 00:34:32,600
Speaker 2: tip I've heard, hadn't heard it before, but being you know,

487
00:34:32,880 --> 00:34:39,719
Speaker 2: wintery coat time, people who want to save room in

488
00:34:39,760 --> 00:34:42,720
Speaker 2: their seats put the coat up there. Apparently those bins

489
00:34:42,760 --> 00:34:48,359
Speaker 2: are very rarely cleaned and it is annoying for people

490
00:34:48,400 --> 00:34:52,360
Speaker 2: who want to put their luggage up there. So the

491
00:34:52,440 --> 00:34:57,080
Speaker 2: tip is, either wear coat in the seat or put

492
00:34:57,080 --> 00:34:59,520
Speaker 2: it under the seat in front of you when you

493
00:34:59,520 --> 00:35:02,799
Speaker 2: sit down, but don't put it in the overhead bin.

494
00:35:04,200 --> 00:35:07,200
Speaker 2: That's that's a tip I heard. If you did that before,

495
00:35:07,680 --> 00:35:09,680
Speaker 2: or if you did it on the maybe you're driving

496
00:35:09,680 --> 00:35:11,400
Speaker 2: back from the airport right now, jame on you, what

497
00:35:11,960 --> 00:35:15,239
Speaker 2: were you thinking? But next time you won't do that,

498
00:35:15,320 --> 00:35:18,600
Speaker 2: right But uh yeah, if you're on your way to

499
00:35:18,640 --> 00:35:21,280
Speaker 2: the airport, and please do not put your coat.

500
00:35:21,120 --> 00:35:29,479
Speaker 1: In the overhead day We'll be right back. Why from

501
00:35:29,520 --> 00:35:40,760
Speaker 1: ball Hartby and the Crossroads of America. It's Tony Kats today.

502
00:35:43,120 --> 00:35:50,440
Speaker 2: Yes, welcome to Tony Kats Today. I am my Coolidge

503
00:35:50,640 --> 00:35:54,879
Speaker 2: in for Tony Katz. Coolidge is spelled with a K

504
00:35:55,239 --> 00:35:58,840
Speaker 2: K O O L I d G E, and Cats

505
00:35:58,880 --> 00:36:02,760
Speaker 2: is spelled with a K as well ka tz Tony

506
00:36:02,880 --> 00:36:05,960
Speaker 2: will be back. I don't know exactly. I will not

507
00:36:06,000 --> 00:36:08,680
Speaker 2: make that announcement. I will let the powers that be

508
00:36:08,920 --> 00:36:12,720
Speaker 2: make that announcement. But I will be back guest hosting

509
00:36:12,760 --> 00:36:16,160
Speaker 2: this radio program on New Year's Eve Day, which is

510
00:36:16,200 --> 00:36:20,840
Speaker 2: a Wednesday, and then January second, which is a Friday,

511
00:36:21,360 --> 00:36:26,240
Speaker 2: and by then I believe we're gonna know the next

512
00:36:26,360 --> 00:36:29,200
Speaker 2: round of the college football playoffs. Yes, yes, yes, the

513
00:36:29,320 --> 00:36:33,239
Speaker 2: Mighty Indiana has off, as does or Not has off

514
00:36:33,400 --> 00:36:39,640
Speaker 2: has a bye, as does my University of Georgia Bulldogs.

515
00:36:39,920 --> 00:36:43,399
Speaker 2: They are my team. That's all of my wife's side

516
00:36:43,400 --> 00:36:46,680
Speaker 2: of the family are bulldog people. And I last time

517
00:36:46,960 --> 00:36:49,120
Speaker 2: I was on the show reminded or told you this

518
00:36:49,200 --> 00:36:51,960
Speaker 2: story about my time watching the beat Alabama in the

519
00:36:52,040 --> 00:36:58,400
Speaker 2: National Championship in Indianapolis, Indiana, back in early two thousand

520
00:36:58,400 --> 00:37:02,120
Speaker 2: and twenty two. What a great night, what a great memory.

521
00:37:02,440 --> 00:37:04,400
Speaker 2: And I'll tell you right now, if it is Indiana

522
00:37:04,480 --> 00:37:08,120
Speaker 2: versus Georgia in the National Championship, which is what I

523
00:37:08,120 --> 00:37:10,799
Speaker 2: predicted is going to be, I will be rooting for Georgia.

524
00:37:10,840 --> 00:37:13,480
Speaker 2: But if I re Betty Man, every beting on Indiana,

525
00:37:13,600 --> 00:37:18,160
Speaker 2: Chris they're really really good. This whole hour are going

526
00:37:18,200 --> 00:37:26,120
Speaker 2: to get into this viral piece from Compact magazine called

527
00:37:26,160 --> 00:37:29,040
Speaker 2: The Lost Generation. I'm going to give you a brief

528
00:37:29,280 --> 00:37:35,800
Speaker 2: synopsis of it here before we welcome our guest coming

529
00:37:35,880 --> 00:37:39,319
Speaker 2: up this hour, Kevin Jackson, who's going to join us

530
00:37:39,480 --> 00:37:46,840
Speaker 2: here shortly. But something extraordinary happened to millennial white men

531
00:37:47,360 --> 00:37:52,280
Speaker 2: in professional America between the years twenty fourteen and twenty

532
00:37:52,320 --> 00:37:55,839
Speaker 2: twenty four. And this is I'm reading from a piece

533
00:37:55,840 --> 00:37:58,480
Speaker 2: from AMAC which is kind of a synopsis of this

534
00:37:58,560 --> 00:38:04,440
Speaker 2: Lost Generation piece. We're only now starting to talk about it, honestly,

535
00:38:04,960 --> 00:38:11,000
Speaker 2: and the numbers are staggering. White males dropped from forty

536
00:38:11,040 --> 00:38:15,760
Speaker 2: eight percent of entry level TV writers in twenty eleven

537
00:38:16,080 --> 00:38:19,359
Speaker 2: to eleven point nine percent by twenty twenty four, forty

538
00:38:19,400 --> 00:38:22,399
Speaker 2: eight percent to eleven point nine percent. In academia, they

539
00:38:22,440 --> 00:38:26,160
Speaker 2: fell from thirty nine percent of humanity's tenured track hires

540
00:38:26,160 --> 00:38:30,600
Speaker 2: at Harvard in twenty fourteen to eighteen percent ten years later.

541
00:38:30,920 --> 00:38:35,040
Speaker 2: How do you see, Irvine? Sixty four percent tenure track

542
00:38:35,120 --> 00:38:40,360
Speaker 2: professors were hired in humanities and social sciences since twenty

543
00:38:40,400 --> 00:38:44,359
Speaker 2: twenty Okay, sixty four Only three of them were white men.

544
00:38:45,719 --> 00:38:51,640
Speaker 2: This wasn't some gentle rebalancing. It was a generational purge

545
00:38:52,040 --> 00:38:56,760
Speaker 2: pressed up as progress. Here's what makes this particularly brutal.

546
00:38:57,719 --> 00:39:01,719
Speaker 2: The older white men stayed exactly where they were. Gen

547
00:39:01,920 --> 00:39:04,040
Speaker 2: X guys. I'm a gen X guy for the record,

548
00:39:04,680 --> 00:39:07,280
Speaker 2: still run the New York Times magazine, still hold senior

549
00:39:07,320 --> 00:39:12,439
Speaker 2: positions across Hollywood, still dominate university departments. They implemented. They

550
00:39:12,719 --> 00:39:18,400
Speaker 2: implementing diversity mandates that fell entirely on entry level positions,

551
00:39:18,520 --> 00:39:23,160
Speaker 2: locking out the generation behind them while protecting their own purchase.

552
00:39:23,560 --> 00:39:27,960
Speaker 2: The timing was everything. If you were forty and established

553
00:39:27,960 --> 00:39:32,120
Speaker 2: in twenty fourteen, you were fine. If you were thirty

554
00:39:32,480 --> 00:39:36,680
Speaker 2: and trying to break in, were younger, you hit a wall.

555
00:39:36,880 --> 00:39:41,719
Speaker 2: One generation apart, completely different professional fates, and it was explicit.

556
00:39:42,680 --> 00:39:47,560
Speaker 2: Internal Hollywood agency documents from twenty seventeen show mandates for

557
00:39:48,360 --> 00:39:54,200
Speaker 2: writers rooms diverse women and diverse only emphasis on African American.

558
00:39:54,400 --> 00:39:59,279
Speaker 2: This is all quotes. These are quotes from documents from

559
00:39:59,400 --> 00:40:02,399
Speaker 2: twenty seven showing that this is what the mandates were

560
00:40:02,760 --> 00:40:05,839
Speaker 2: for different writing rooms. You know, these are people who

561
00:40:05,840 --> 00:40:08,759
Speaker 2: write the TV shows and the comedy shows and the

562
00:40:08,800 --> 00:40:13,080
Speaker 2: sitcoms and all that. The Disney writing program awarded one

563
00:40:13,200 --> 00:40:18,680
Speaker 2: hundred and seven fellowships over a decade. Zero went to

564
00:40:18,719 --> 00:40:23,120
Speaker 2: white men. This was not unconscious bias, It was policy.

565
00:40:23,640 --> 00:40:26,480
Speaker 2: Medical schools went from thirty one percent white male students

566
00:40:26,480 --> 00:40:30,000
Speaker 2: in twenty fourteen to twenty point five percent by twenty

567
00:40:30,040 --> 00:40:32,640
Speaker 2: twenty five. Law schools dropped from thirty one point two

568
00:40:33,760 --> 00:40:36,360
Speaker 2: to twenty five point seven in eight years. At Amazon,

569
00:40:36,440 --> 00:40:38,960
Speaker 2: mid level managers fell from fifty five point eight white

570
00:40:38,960 --> 00:40:42,080
Speaker 2: male in twenty fourteen to thirty three percent in twenty

571
00:40:42,120 --> 00:40:46,200
Speaker 2: twenty four. At Google, white men went from nearly half

572
00:40:46,239 --> 00:40:49,200
Speaker 2: the workforce to under a third. And these were not

573
00:40:49,360 --> 00:40:53,279
Speaker 2: mediocre guys getting passed over. They were watching less experienced

574
00:40:53,320 --> 00:40:58,360
Speaker 2: candidates with the right demographic profile leap past them. Journals

575
00:40:58,360 --> 00:41:02,800
Speaker 2: supplying to dozens of positions with zero callbacks, academics making

576
00:41:02,800 --> 00:41:06,879
Speaker 2: it to final interview rounds five times and never getting hired.

577
00:41:07,880 --> 00:41:12,279
Speaker 2: Screenwriters told point blank that rooms already had too many

578
00:41:12,320 --> 00:41:19,040
Speaker 2: white guys. The refuges these men found crypto podcasting substack

579
00:41:19,560 --> 00:41:26,400
Speaker 2: anywhere without institutional gatekeepers. For a decade, liberal institutions insisted

580
00:41:26,480 --> 00:41:29,840
Speaker 2: this was not happening, that any white man complaining was

581
00:41:29,880 --> 00:41:34,319
Speaker 2: just mediocre, just bitter, but the numbers do not lie.

582
00:41:34,480 --> 00:41:39,239
Speaker 2: An entire cohort got systematically locked out and they called

583
00:41:39,320 --> 00:41:46,800
Speaker 2: it justice. This piece is going viral right now, and

584
00:41:47,120 --> 00:41:51,879
Speaker 2: none other than jd Vance just retweeted this piece. It's

585
00:41:51,920 --> 00:41:55,719
Speaker 2: a really long slog, but man, is it good. And

586
00:41:56,000 --> 00:42:00,480
Speaker 2: it's by Jacob Savage. We're getting it into this more

587
00:42:00,640 --> 00:42:06,080
Speaker 2: and a possible solution to this with Kevin Jackson, former

588
00:42:06,080 --> 00:42:11,719
Speaker 2: Fox News contributor and co founder of Unified Solutions America.

589
00:42:11,840 --> 00:42:15,479
Speaker 2: This is Tony Katz today. I am Mike Coolidge. Don't

590
00:42:15,480 --> 00:42:16,000
Speaker 2: go anywhere.

591
00:42:16,200 --> 00:42:17,000
Speaker 5: Yes it is.

592
00:42:17,800 --> 00:42:22,480
Speaker 2: Let's hope right, everything's going to be cool his Christmas.

593
00:42:23,600 --> 00:42:26,440
Speaker 2: This is Tony Kats today. I am not Tony. I

594
00:42:26,480 --> 00:42:30,120
Speaker 2: am Mike Coolidge spelled with a K. You can follow

595
00:42:30,160 --> 00:42:34,880
Speaker 2: me on X a'ts k l I dge and I

596
00:42:35,080 --> 00:42:41,040
Speaker 2: thank you for joining us this afternoon, this Friday, this

597
00:42:41,120 --> 00:42:43,080
Speaker 2: end of the week before the break, we were reading

598
00:42:43,200 --> 00:42:47,560
Speaker 2: from some of this piece that has gone super viral

599
00:42:48,400 --> 00:42:55,239
Speaker 2: called The Lost Generation Compact magazine by Jacob Savage, and

600
00:42:55,440 --> 00:43:01,320
Speaker 2: he lays out how millennial white men have been intentionally

601
00:43:01,719 --> 00:43:08,799
Speaker 2: and systematically stopped prevented from getting into various fields over

602
00:43:08,800 --> 00:43:12,920
Speaker 2: the last ten years while Generation X, which I'm a

603
00:43:12,960 --> 00:43:16,520
Speaker 2: part of, and our next guest is as well, from

604
00:43:16,520 --> 00:43:19,400
Speaker 2: their purchase, they didn't change anything. We didn't change anything

605
00:43:19,400 --> 00:43:22,040
Speaker 2: from our purchase. But so this is a whole generation

606
00:43:22,560 --> 00:43:26,799
Speaker 2: of young white males who have not had their kind

607
00:43:26,800 --> 00:43:30,439
Speaker 2: of proverbial foot in the door joining us to talk

608
00:43:30,480 --> 00:43:35,240
Speaker 2: about this piece and also Unified Solutions America Kevin Jackson.

609
00:43:35,280 --> 00:43:38,279
Speaker 2: He's a former Fox News contributor and is the co

610
00:43:38,360 --> 00:43:42,080
Speaker 2: founder of Unified Solutions America. Kevin, Welcome on to the

611
00:43:42,120 --> 00:43:42,919
Speaker 2: Tony Katz Show.

612
00:43:43,719 --> 00:43:45,560
Speaker 5: Hey, glad to be with you. Mike. I got to

613
00:43:45,560 --> 00:43:46,839
Speaker 5: tell you that article.

614
00:43:47,080 --> 00:43:51,680
Speaker 4: Was really amazing, how he laid the author, laid out

615
00:43:51,800 --> 00:43:54,120
Speaker 4: the savage, laid out all the different issues, and what

616
00:43:54,239 --> 00:43:57,239
Speaker 4: struck me was it's really an attack on both the

617
00:43:57,320 --> 00:44:02,080
Speaker 4: media and academia, which are two two elements owned by

618
00:44:02,120 --> 00:44:05,920
Speaker 4: the left. And I don't know if the audience is

619
00:44:05,960 --> 00:44:07,920
Speaker 4: going to recognize this. I'm just going to admit this

620
00:44:08,080 --> 00:44:10,960
Speaker 4: up front. Happen to be a black guy. So even

621
00:44:11,000 --> 00:44:13,479
Speaker 4: though I'm Gen X, I'm a black guy who's looking

622
00:44:13,560 --> 00:44:15,319
Speaker 4: at this and because I can laugh all the way

623
00:44:15,400 --> 00:44:17,439
Speaker 4: to the bank at all of it, it doesn't matter

624
00:44:17,480 --> 00:44:20,600
Speaker 4: what Jen I'm from right, the world has been laid

625
00:44:20,640 --> 00:44:21,680
Speaker 4: out to be my oyster.

626
00:44:22,360 --> 00:44:22,799
Speaker 5: But what I.

627
00:44:22,880 --> 00:44:26,359
Speaker 4: Noticed about this article and what struck me most was

628
00:44:26,640 --> 00:44:30,000
Speaker 4: I looked at it as the emasculation of men in general,

629
00:44:30,080 --> 00:44:33,360
Speaker 4: But it's really the emasculation of white men and the

630
00:44:33,440 --> 00:44:35,640
Speaker 4: idea of taking you white guys.

631
00:44:35,360 --> 00:44:38,520
Speaker 5: Off your perch. And it's the younger generation of guys.

632
00:44:39,160 --> 00:44:43,359
Speaker 4: And look, I'm old school enough to know that when

633
00:44:43,480 --> 00:44:45,560
Speaker 4: and I'm going to use some vernacular, but when I

634
00:44:45,600 --> 00:44:46,959
Speaker 4: was growing up, we handled our.

635
00:44:46,880 --> 00:44:49,880
Speaker 5: Business in the street. We didn't rely on DEI.

636
00:44:49,960 --> 00:44:53,319
Speaker 4: We didn't call the NAACP. You know, you might get

637
00:44:53,360 --> 00:44:55,080
Speaker 4: your big brother to help if there was more than

638
00:44:55,120 --> 00:44:56,840
Speaker 4: one guy you were fighting, but you took care of

639
00:44:56,920 --> 00:45:00,640
Speaker 4: business on the street. Now these kids have been raised

640
00:45:00,719 --> 00:45:07,239
Speaker 4: with cry closets and you know, you know, little lineup spaces, yeah,

641
00:45:07,400 --> 00:45:10,040
Speaker 4: save spaces and all these different things, and they don't

642
00:45:10,080 --> 00:45:12,680
Speaker 4: know how to handle the situation. Let me put it

643
00:45:12,680 --> 00:45:17,200
Speaker 4: in another way, the generation that we're from, we didn't

644
00:45:17,200 --> 00:45:19,600
Speaker 4: allow it to happen because there was still a lot

645
00:45:19,680 --> 00:45:23,279
Speaker 4: of ogs, what we call the original gangsters, like myself,

646
00:45:23,600 --> 00:45:26,799
Speaker 4: who pushed back against it. I said, look, I saw

647
00:45:26,840 --> 00:45:28,719
Speaker 4: it happening to my white friends. I'd be like, man,

648
00:45:28,760 --> 00:45:31,359
Speaker 4: you're gonna let these people do this? Se you white guy,

649
00:45:31,360 --> 00:45:34,480
Speaker 4: what are you talking about? And the funniest thing about

650
00:45:34,520 --> 00:45:37,000
Speaker 4: all of this, And there's a joke in the black

651
00:45:37,040 --> 00:45:39,759
Speaker 4: community because people will say things like, well, Kevin, you're

652
00:45:39,800 --> 00:45:41,920
Speaker 4: black and you're siding with white people. And I'm like, no,

653
00:45:42,000 --> 00:45:45,160
Speaker 4: I'm siding with the winners. I'm siding with the dudes

654
00:45:45,200 --> 00:45:48,680
Speaker 4: who can land spaceships backwards, you know, And that's what

655
00:45:48,760 --> 00:45:52,240
Speaker 4: I'm siding with. We look at the creation of man

656
00:45:53,120 --> 00:45:57,520
Speaker 4: through the millennia and look at what white men have done,

657
00:45:57,800 --> 00:46:01,160
Speaker 4: and ask yourself, why would you want to dumb down

658
00:46:01,280 --> 00:46:04,720
Speaker 4: the rest of the world and say, oh, let's compete

659
00:46:04,760 --> 00:46:08,200
Speaker 4: at the level of women, let's compete at the level

660
00:46:08,239 --> 00:46:12,000
Speaker 4: of blacks, let's compete at the level of LGBT. White

661
00:46:12,120 --> 00:46:16,080
Speaker 4: men have contributed so much to the world. The real

662
00:46:16,160 --> 00:46:18,839
Speaker 4: question should be asked, why aren't we studying you?

663
00:46:20,520 --> 00:46:24,400
Speaker 2: Well, I mean this whole idea. I mean, there's a

664
00:46:24,400 --> 00:46:25,799
Speaker 2: bunch of things you said there. I want to I

665
00:46:25,840 --> 00:46:30,759
Speaker 2: want to dive into, you know, the Some people have

666
00:46:30,840 --> 00:46:34,680
Speaker 2: criticized this as you know, trying to take white men

667
00:46:34,719 --> 00:46:38,719
Speaker 2: off their perchase and The problem obviously that this guy

668
00:46:38,800 --> 00:46:41,120
Speaker 2: is pointing out, this Jacob Savage and this piece the

669
00:46:41,160 --> 00:46:44,960
Speaker 2: lost generation, is that they don't have They didn't even

670
00:46:45,000 --> 00:46:47,640
Speaker 2: get to the purchase. They didn't even they weren't able to.

671
00:46:48,120 --> 00:46:51,160
Speaker 2: They didn't even have the opportunity to climb up the

672
00:46:51,160 --> 00:46:55,000
Speaker 2: purchase or the trees, you know, right to get there,

673
00:46:55,160 --> 00:46:58,200
Speaker 2: and so they're on ramp was cut off. And another thing,

674
00:46:58,320 --> 00:47:03,760
Speaker 2: you know, you mentioned this idea of merit and rewarding

675
00:47:03,800 --> 00:47:08,600
Speaker 2: people for doing good work. It reminds me of a

676
00:47:08,719 --> 00:47:12,280
Speaker 2: joke I heard, not a joke, an anecdote that Bill

677
00:47:12,360 --> 00:47:20,080
Speaker 2: Maher talked about with Sanford and Son, the guy the

678
00:47:20,120 --> 00:47:23,759
Speaker 2: main character, Red Fox, when he had Sanford and Son.

679
00:47:24,280 --> 00:47:27,040
Speaker 2: This is in the seventies. You know, African American is

680
00:47:27,120 --> 00:47:31,919
Speaker 2: hugely popular comedian. He has this sitcom and his people say, hey,

681
00:47:31,920 --> 00:47:34,880
Speaker 2: you should just hire you know, your black friends to

682
00:47:35,239 --> 00:47:38,160
Speaker 2: write it. And he did that the second season a

683
00:47:38,200 --> 00:47:40,880
Speaker 2: couple of episodes, and this again is a recounting it

684
00:47:40,880 --> 00:47:44,800
Speaker 2: from Bill Maher. And he didn't like what they were doing,

685
00:47:45,040 --> 00:47:48,800
Speaker 2: and Red Fox said, bring me back the Jewish writers.

686
00:47:48,840 --> 00:47:51,520
Speaker 2: These guys are not funny, Like all he cared about

687
00:47:52,080 --> 00:47:56,799
Speaker 2: was funny people who wrote funny material, and in his

688
00:47:57,520 --> 00:47:59,520
Speaker 2: mind it was, you know, the Jewish writers or the

689
00:47:59,560 --> 00:48:02,600
Speaker 2: guys who have to be Jewish writing his material that

690
00:48:02,640 --> 00:48:05,200
Speaker 2: were way funnier than his friends who happen to be black.

691
00:48:06,000 --> 00:48:09,440
Speaker 2: But you know, and that whole generation, and that is

692
00:48:09,480 --> 00:48:13,759
Speaker 2: how you and I grew up was until really the

693
00:48:13,800 --> 00:48:16,960
Speaker 2: two thousands to the mid to late two thousands. Merit

694
00:48:17,080 --> 00:48:22,440
Speaker 2: for the most part was how you would succeed. But

695
00:48:22,520 --> 00:48:27,440
Speaker 2: everything changed for this generation, these millennials, and it's just

696
00:48:27,560 --> 00:48:30,920
Speaker 2: it's really really eye opening that so many of their

697
00:48:30,960 --> 00:48:31,720
Speaker 2: doors were shut.

698
00:48:32,560 --> 00:48:34,600
Speaker 4: Well I don't know if the doors were shut, it's just,

699
00:48:35,200 --> 00:48:39,760
Speaker 4: you know, things, you allow things to occur. If someone

700
00:48:39,880 --> 00:48:42,239
Speaker 4: gives you the easy way out, if you're if you

701
00:48:42,280 --> 00:48:44,520
Speaker 4: don't have to earn something and somebody gives it to

702
00:48:44,600 --> 00:48:45,839
Speaker 4: you and you take it.

703
00:48:45,880 --> 00:48:47,440
Speaker 5: Well, as far as I'm concerned, you're a.

704
00:48:47,360 --> 00:48:50,520
Speaker 4: Piker in my generation, you would have just gotten trampled.

705
00:48:50,960 --> 00:48:56,080
Speaker 4: Because if I'm a meritocracy and you're the average dude, well,

706
00:48:56,440 --> 00:48:57,960
Speaker 4: you know you're not going to get much spot on

707
00:48:57,960 --> 00:48:59,839
Speaker 4: the football team. You're not going to get much spot

708
00:48:59,880 --> 00:49:00,799
Speaker 4: on the debate team.

709
00:49:01,160 --> 00:49:02,839
Speaker 5: You know, I was going to make sure I made

710
00:49:02,840 --> 00:49:06,360
Speaker 5: a fool out of you. And not only that, everybody

711
00:49:06,360 --> 00:49:07,600
Speaker 5: else is going to ridicule you.

712
00:49:08,560 --> 00:49:10,680
Speaker 4: And you might think you were being bullied, but no,

713
00:49:10,840 --> 00:49:12,960
Speaker 4: you were being made to be better. I could look,

714
00:49:13,040 --> 00:49:17,879
Speaker 4: I could give this audience one hundred stories on where

715
00:49:17,920 --> 00:49:21,239
Speaker 4: somebody told me you can't do something because you're black,

716
00:49:21,320 --> 00:49:23,800
Speaker 4: or you're too short, or you're too pretty Kevin or whatever,

717
00:49:24,520 --> 00:49:26,600
Speaker 4: and I would go, oh, yeah, well hold my beer,

718
00:49:27,120 --> 00:49:29,800
Speaker 4: because this minute you told me I couldn't do something.

719
00:49:29,880 --> 00:49:32,040
Speaker 5: I was raised to prove you wrong.

720
00:49:32,719 --> 00:49:36,600
Speaker 4: We have a generation of people who accept it. My son,

721
00:49:36,760 --> 00:49:39,880
Speaker 4: my oldest son, told me this in the fifth grade.

722
00:49:40,080 --> 00:49:41,920
Speaker 5: He came home one day. We were talking about something,

723
00:49:42,120 --> 00:49:43,960
Speaker 5: a subject, and I said, well, why do you raise

724
00:49:43,960 --> 00:49:45,640
Speaker 5: your hand? He goes, it doesn't matter. I go, what

725
00:49:45,680 --> 00:49:45,960
Speaker 5: do you mean?

726
00:49:46,000 --> 00:49:48,680
Speaker 4: He goes, the teachers don't call on boys, and I go,

727
00:49:48,680 --> 00:49:50,200
Speaker 4: get out of here. He goes, No, they know that.

728
00:49:50,680 --> 00:49:53,520
Speaker 4: They the teacher said to us, boys always raise your hands.

729
00:49:53,520 --> 00:49:56,279
Speaker 4: You always know the answer. You're very boisterous. So they

730
00:49:56,280 --> 00:49:59,880
Speaker 4: stopped calling on him. So the boys stopped. Ultimately what happens,

731
00:50:00,080 --> 00:50:04,960
Speaker 4: stopped raising their hands. So you you essentially beat out.

732
00:50:05,160 --> 00:50:08,239
Speaker 4: The natural response of a young boy was.

733
00:50:09,680 --> 00:50:11,040
Speaker 5: Right, and wanting.

734
00:50:10,719 --> 00:50:13,359
Speaker 4: Attention and all these different things that make him into

735
00:50:14,120 --> 00:50:17,880
Speaker 4: a man who can attract a very beautiful woman because

736
00:50:17,880 --> 00:50:19,440
Speaker 4: why he flaunts himself.

737
00:50:19,440 --> 00:50:20,320
Speaker 5: He wants attention.

738
00:50:20,480 --> 00:50:24,200
Speaker 4: Look at nature and tell me that everything I'm telling

739
00:50:24,200 --> 00:50:25,760
Speaker 4: you is is a fraud.

740
00:50:25,840 --> 00:50:27,840
Speaker 5: It's this is exactly the way it works.

741
00:50:28,200 --> 00:50:28,279
Speaker 7: Ye.

742
00:50:28,440 --> 00:50:31,320
Speaker 5: What we've done is we've emaculated these kids.

743
00:50:31,560 --> 00:50:34,720
Speaker 2: Yeah, that is a great analogy what you just said

744
00:50:34,880 --> 00:50:37,960
Speaker 2: with you know, they stopped raising their hands. Because that's

745
00:50:38,000 --> 00:50:41,600
Speaker 2: what this Jacob Savage writer points out is that so

746
00:50:41,719 --> 00:50:45,600
Speaker 2: many of his cohorts just just stopped applying for stuff,

747
00:50:45,719 --> 00:50:48,560
Speaker 2: just stuff exactly right, putting their name out there to

748
00:50:48,680 --> 00:50:51,120
Speaker 2: get because they just kept getting turned down. And this

749
00:50:51,200 --> 00:50:55,960
Speaker 2: man who was dating a woman who eventually became his wife,

750
00:50:56,320 --> 00:50:59,080
Speaker 2: he wanted to provide for her. He wanted to, you know,

751
00:50:59,120 --> 00:51:00,960
Speaker 2: get a good job. He thought, you know, success was

752
00:51:01,000 --> 00:51:04,160
Speaker 2: right around the corner. But he was told repeatedly, we

753
00:51:04,400 --> 00:51:09,000
Speaker 2: don't want your kind in so many words, which was right, males,

754
00:51:09,360 --> 00:51:12,759
Speaker 2: and he had to delay having a family and have

755
00:51:13,239 --> 00:51:16,120
Speaker 2: to delay you know, you know, doing the things that

756
00:51:16,120 --> 00:51:19,200
Speaker 2: that are the next steps and next chapters in life

757
00:51:19,520 --> 00:51:21,759
Speaker 2: that so many of us aspire to do.

758
00:51:22,800 --> 00:51:25,920
Speaker 5: So I feel sort of blame the generation because.

759
00:51:28,600 --> 00:51:32,680
Speaker 2: Pardon me, like like you blame millennials, that generation specifically.

760
00:51:32,239 --> 00:51:35,600
Speaker 4: Blame that generation because look, real men say, oh you put.

761
00:51:35,520 --> 00:51:37,719
Speaker 5: Up a roadblock. I'm going to get around it.

762
00:51:38,040 --> 00:51:40,120
Speaker 4: You know, it's the same thing we say of women's

763
00:51:40,160 --> 00:51:42,239
Speaker 4: you know, the women's movement says, oh, we can't do

764
00:51:42,280 --> 00:51:44,759
Speaker 4: this or that, And I say to the average woman,

765
00:51:44,800 --> 00:51:47,560
Speaker 4: I go, what, you can't start your own company? In

766
00:51:47,600 --> 00:51:50,320
Speaker 4: other words, if a man's holding you back and something

767
00:51:50,440 --> 00:51:52,439
Speaker 4: you want to do, why don't you start your own?

768
00:51:52,840 --> 00:51:56,279
Speaker 4: I mean there's so many I say, it's my black cohorts. Oh,

769
00:51:56,360 --> 00:51:58,960
Speaker 4: the white man's keeping you down? Really, what's stopping you

770
00:51:59,000 --> 00:52:00,000
Speaker 4: from starting your own?

771
00:52:00,800 --> 00:52:02,040
Speaker 5: Oh? I don't like Hollywood?

772
00:52:02,080 --> 00:52:05,200
Speaker 4: There Oscar is so white, which he mentions in the thing,

773
00:52:05,560 --> 00:52:07,200
Speaker 4: all these different things that impact you.

774
00:52:07,800 --> 00:52:10,040
Speaker 5: If oscars are so white, why.

775
00:52:09,840 --> 00:52:12,960
Speaker 4: Don't you start a black version? It may be e

776
00:52:13,000 --> 00:52:15,320
Speaker 4: t bigger than what it is. Start your own label.

777
00:52:15,760 --> 00:52:18,920
Speaker 4: There's always an excuse. And the thing is, in the

778
00:52:19,040 --> 00:52:22,239
Speaker 4: old days, people just said, oh, you stop me from

779
00:52:22,280 --> 00:52:25,200
Speaker 4: doing that. I'll show you. That should be the words

780
00:52:25,239 --> 00:52:28,640
Speaker 4: that we that people learn to live by. I'll show you.

781
00:52:29,000 --> 00:52:31,759
Speaker 4: But they don't they don't have that in their mentality.

782
00:52:32,040 --> 00:52:33,839
Speaker 2: There's a great It reminds me of a quip from

783
00:52:33,840 --> 00:52:37,480
Speaker 2: Milton Burrell, which is, uh, you know, if if, if

784
00:52:37,520 --> 00:52:40,440
Speaker 2: the doors don't open to you on paraphrasing his create

785
00:52:40,440 --> 00:52:43,080
Speaker 2: your own door exactly, you know.

786
00:52:43,320 --> 00:52:45,920
Speaker 4: And so you know, you look at the I'm looking

787
00:52:45,960 --> 00:52:49,520
Speaker 4: at this and as I said, we're talking about me

788
00:52:49,840 --> 00:52:51,719
Speaker 4: because it wasn't just in Hollywood.

789
00:52:52,160 --> 00:52:55,880
Speaker 5: The article is about media as well. How the writers

790
00:52:56,200 --> 00:52:57,080
Speaker 5: have used to.

791
00:52:57,080 --> 00:53:00,400
Speaker 4: Be white guys, you know, had a certain percentage of

792
00:53:00,440 --> 00:53:03,360
Speaker 4: the writing jobs and I mean, I'm sorry, males and

793
00:53:03,440 --> 00:53:05,480
Speaker 4: in a certain number of whites, and it was dominated

794
00:53:05,520 --> 00:53:08,400
Speaker 4: by males and whites, and over time that curve has

795
00:53:08,480 --> 00:53:12,719
Speaker 4: dropped dramatically. Now it's mostly female and it's non white.

796
00:53:12,960 --> 00:53:14,839
Speaker 2: Well me, let me read some of your statistics here

797
00:53:14,880 --> 00:53:16,480
Speaker 2: real quick, because we have to. We're coming up on

798
00:53:16,520 --> 00:53:21,959
Speaker 2: a break. At Yale University's Humanities department, just six out

799
00:53:21,960 --> 00:53:26,400
Speaker 2: of seventy six tenure track professors hired since twenty eighteen

800
00:53:26,840 --> 00:53:30,400
Speaker 2: have been white men. That's seven point nine percent brown.

801
00:53:30,480 --> 00:53:33,680
Speaker 2: University in the News since twenty twenty two has hired

802
00:53:33,760 --> 00:53:37,720
Speaker 2: forty five tenure track professors in the humanities and social sciences.

803
00:53:37,800 --> 00:53:42,000
Speaker 2: Just three have been white American men, and in twenty fourteen,

804
00:53:42,080 --> 00:53:45,240
Speaker 2: white men were thirty one percent of American medical students.

805
00:53:45,239 --> 00:53:48,280
Speaker 2: By twenty twenty five that had dropped to just twenty

806
00:53:48,680 --> 00:53:52,560
Speaker 2: point five percent. That's kind of scary to note that

807
00:53:53,000 --> 00:53:56,799
Speaker 2: when you and I are our elderly men, Kevin, we

808
00:53:56,880 --> 00:53:59,759
Speaker 2: might be treated by a doctor in his forties that

809
00:54:00,000 --> 00:54:04,279
Speaker 2: maybe made it through medical school because of quota that

810
00:54:04,320 --> 00:54:06,840
Speaker 2: they had to fill a diversity thing, not because he

811
00:54:06,960 --> 00:54:11,440
Speaker 2: actually earned it. We're going to continue with Kevin Jackson

812
00:54:11,840 --> 00:54:15,560
Speaker 2: and talk about a solution to this, perhaps that Kevin

813
00:54:15,640 --> 00:54:21,120
Speaker 2: himself has come up with called Unified Solutions America, and

814
00:54:21,480 --> 00:54:25,080
Speaker 2: we're super excited to talk about that coming up in

815
00:54:25,320 --> 00:54:28,080
Speaker 2: our actually coming up on the other side of this break.

816
00:54:28,080 --> 00:54:31,719
Speaker 2: This is Tony Katz today. I am Mike Coolidge in

817
00:54:32,120 --> 00:54:37,640
Speaker 2: for Tony and I will be back again on January

818
00:54:38,080 --> 00:54:41,839
Speaker 2: seconds and New year Z but we will be right

819
00:54:41,880 --> 00:54:45,080
Speaker 2: back in three or four minutes. This is Tony Kats

820
00:54:45,120 --> 00:54:47,680
Speaker 2: today and Mike Coolidge will continue with Kevin Jackson. After that,

821
00:54:49,960 --> 00:54:54,600
Speaker 2: we're back on Tony Katz today. Mike Coolidge in for Tony.

822
00:54:55,120 --> 00:54:58,640
Speaker 2: We continue with Kevin Jackson. Who's a radio man in

823
00:54:58,680 --> 00:55:01,399
Speaker 2: his own right. You can find more info about Kevin

824
00:55:01,640 --> 00:55:07,520
Speaker 2: the Kevin Jackson Network dot com or kjradio dot com.

825
00:55:07,560 --> 00:55:11,400
Speaker 2: Before the break, we were talking about this super viral

826
00:55:11,560 --> 00:55:16,000
Speaker 2: piece called The Lost Generation by a guy named Jacob Savage,

827
00:55:16,000 --> 00:55:18,279
Speaker 2: this writer in Hollywood who's been trying to break in

828
00:55:18,760 --> 00:55:26,200
Speaker 2: for fifteen years and discovered that the door, the avenue

829
00:55:26,560 --> 00:55:31,000
Speaker 2: to get in, was being squeezed closer and closer together,

830
00:55:32,760 --> 00:55:38,399
Speaker 2: getting thinner and thinner, and intentionally so for his particular demographic,

831
00:55:38,480 --> 00:55:42,360
Speaker 2: which is white males. And it's because of this fever

832
00:55:42,880 --> 00:55:45,480
Speaker 2: that has existed in this country for the last decade

833
00:55:45,520 --> 00:55:50,200
Speaker 2: and a half, arguably longer, but really reached its peak

834
00:55:50,600 --> 00:55:53,239
Speaker 2: I would say, in about twenty twenty, and thankfully has

835
00:55:53,280 --> 00:55:57,319
Speaker 2: been on the slow downhill since. And that is the diversity,

836
00:55:57,440 --> 00:56:03,720
Speaker 2: equity and inclusion mania that has finally, I think, we hope,

837
00:56:04,080 --> 00:56:07,760
Speaker 2: sort of subsided. Our culture seems to be going back

838
00:56:07,840 --> 00:56:13,880
Speaker 2: to a meritocracy. And Kevin, anything else about this piece

839
00:56:13,920 --> 00:56:17,279
Speaker 2: that again you and this is about race, so we're

840
00:56:17,280 --> 00:56:19,360
Speaker 2: gonna just just lay it all out. You as a

841
00:56:19,400 --> 00:56:24,120
Speaker 2: black man reading this basically about a white man, a

842
00:56:24,200 --> 00:56:27,480
Speaker 2: younger white man, a millennial white man talking about the

843
00:56:29,080 --> 00:56:33,319
Speaker 2: very very narrow hallway that wasn't as big as it

844
00:56:33,440 --> 00:56:37,320
Speaker 2: was for you know, people our age, especially in his industry.

845
00:56:37,360 --> 00:56:40,560
Speaker 2: But anything else you want to mention about that article.

846
00:56:41,200 --> 00:56:45,319
Speaker 4: Yeah, I found a lot of things very interesting. Number One,

847
00:56:45,360 --> 00:56:48,520
Speaker 4: as I mentioned before, the break, media and academia are

848
00:56:48,520 --> 00:56:52,520
Speaker 4: two left is dominated industries, and they're the ones who

849
00:56:52,520 --> 00:56:55,959
Speaker 4: have put this thought walk out against young white men.

850
00:56:56,640 --> 00:56:57,600
Speaker 5: Number That's the first thing.

851
00:56:57,640 --> 00:57:00,040
Speaker 4: The second thing is this if you look at the

852
00:57:00,080 --> 00:57:04,680
Speaker 4: contributions of white men, Western men to society in general,

853
00:57:04,760 --> 00:57:07,680
Speaker 4: but particularly white men in America, and you look at

854
00:57:07,680 --> 00:57:11,720
Speaker 4: the guys like Elon Musk and Larry you know, the

855
00:57:11,760 --> 00:57:16,280
Speaker 4: people founded Oracle and Microsoft and various others. You look

856
00:57:16,320 --> 00:57:18,840
Speaker 4: at these guys and you say to yourself, who would

857
00:57:18,880 --> 00:57:21,560
Speaker 4: have done it? You know, I've asked this question. What

858
00:57:22,400 --> 00:57:25,760
Speaker 4: woman would have cracked the human genome? What woman would

859
00:57:25,800 --> 00:57:30,680
Speaker 4: look to colonize Mars? What black person? Africa has a

860
00:57:30,720 --> 00:57:34,120
Speaker 4: whole continent and there's not a black person on the

861
00:57:34,160 --> 00:57:36,880
Speaker 4: continent who says, I want to shoot a missile up

862
00:57:36,880 --> 00:57:40,720
Speaker 4: into space, put satellites up there, build a system called

863
00:57:40,760 --> 00:57:43,000
Speaker 4: starlingk And oh, by the way, I'm going to land

864
00:57:43,000 --> 00:57:45,320
Speaker 4: my rockets backwards, so I don't have to, you know,

865
00:57:45,400 --> 00:57:48,920
Speaker 4: redo them. That thought process has never hit anybody on

866
00:57:48,960 --> 00:57:50,000
Speaker 4: the continent of Africa.

867
00:57:50,560 --> 00:57:53,520
Speaker 5: So what I'm getting at is we're taking some of

868
00:57:53,560 --> 00:57:54,160
Speaker 5: the best and.

869
00:57:54,160 --> 00:57:59,200
Speaker 4: Brightest minds and we're dismissing them, We're emasculating them, or

870
00:57:59,280 --> 00:58:00,919
Speaker 4: we don't want them to raise their hands, we don't

871
00:58:00,920 --> 00:58:04,080
Speaker 4: want to voice their opinions. And we still believe we're

872
00:58:04,080 --> 00:58:07,360
Speaker 4: going to create some the excellence that America has created

873
00:58:07,760 --> 00:58:10,960
Speaker 4: over the last few decades. America has more patents than

874
00:58:11,080 --> 00:58:14,280
Speaker 4: any other country. I mean, look at the number of

875
00:58:14,280 --> 00:58:17,320
Speaker 4: people we have. We have more patents than the next

876
00:58:17,720 --> 00:58:22,480
Speaker 4: few countries combined. And yet we want to stifle that

877
00:58:22,680 --> 00:58:26,000
Speaker 4: level of creativity because we want to implement this silly

878
00:58:26,040 --> 00:58:30,320
Speaker 4: stuff called DEI. Ironically, in the country, it is the

879
00:58:30,360 --> 00:58:33,880
Speaker 4: most diverse, the most equitable, and the most inclusive than

880
00:58:33,880 --> 00:58:38,120
Speaker 4: any in the world. Now, if I sum the article

881
00:58:38,200 --> 00:58:39,920
Speaker 4: up in any particular piece.

882
00:58:39,880 --> 00:58:41,400
Speaker 5: That's it in a nutshell.

883
00:58:41,560 --> 00:58:45,280
Speaker 4: But I do recommend people read it because, as I said,

884
00:58:45,320 --> 00:58:48,440
Speaker 4: it is a condemnation of the two very things that

885
00:58:48,520 --> 00:58:50,480
Speaker 4: say we're just going to look at people for their

886
00:58:50,560 --> 00:58:52,960
Speaker 4: character and how good they are in all this, and

887
00:58:53,040 --> 00:58:56,400
Speaker 4: yet you can see the slow degradation and the attack

888
00:58:56,920 --> 00:59:00,960
Speaker 4: on the mail and in particularly in particularly the white male.

889
00:59:01,440 --> 00:59:04,600
Speaker 4: But they really are going after all males. But but

890
00:59:04,640 --> 00:59:06,920
Speaker 4: they're using the white male as sort of their their

891
00:59:07,040 --> 00:59:09,040
Speaker 4: muse for the time being. So yeah, those are my

892
00:59:09,240 --> 00:59:10,200
Speaker 4: observations from it.

893
00:59:10,320 --> 00:59:14,320
Speaker 2: Yeah. I there's this YouTube channel I watch uh nerd

894
00:59:14,440 --> 00:59:18,880
Speaker 2: Rotic and he, uh, he's a huge Star Wars fan

895
00:59:18,920 --> 00:59:21,760
Speaker 2: and he criticizes all the you know, Star Wars movies

896
00:59:21,760 --> 00:59:23,920
Speaker 2: and that was or the more recent ones and all

897
00:59:23,960 --> 00:59:28,440
Speaker 2: the shows and uh, for a while, they really really

898
00:59:29,000 --> 00:59:32,720
Speaker 2: uh leaned into future. Yeah, it was super woke. But

899
00:59:32,840 --> 00:59:35,920
Speaker 2: the future is female. They kept saying that the future

900
00:59:36,000 --> 00:59:38,120
Speaker 2: is female. And it seemed like even in a lot

901
00:59:38,120 --> 00:59:42,520
Speaker 2: of the the Star Wars sequel, it was like, we're

902
00:59:42,560 --> 00:59:47,000
Speaker 2: going to diminish the heroes from the previous movies. They're

903
00:59:47,040 --> 00:59:49,200
Speaker 2: not gonna do anything, and we're gonna make this the

904
00:59:49,680 --> 00:59:52,360
Speaker 2: you know, female lead, you know, the biggest things in

905
00:59:52,400 --> 00:59:55,120
Speaker 2: sliced spread. Meanwhile, if you watch the original Star Wars,

906
00:59:55,160 --> 00:59:58,040
Speaker 2: Princess Leah was a pretty strong character in her own right.

907
00:59:58,240 --> 01:00:02,200
Speaker 2: There have been plenty of female all strong leads in

908
01:00:02,280 --> 01:00:06,960
Speaker 2: movies like Sigourney Weaver, an alien and Aliens who is fantastic.

909
01:00:07,040 --> 01:00:10,840
Speaker 2: But there's this like history only began. It's the same,

910
01:00:11,040 --> 01:00:14,800
Speaker 2: the same cohort the millennials that seem to uh just

911
01:00:14,960 --> 01:00:20,000
Speaker 2: want to re configure how society is set up, and

912
01:00:20,520 --> 01:00:25,720
Speaker 2: they're going to focus on identitarianism over everything else. And

913
01:00:25,760 --> 01:00:29,240
Speaker 2: there's one particular demographic that uh that that that was

914
01:00:29,360 --> 01:00:32,320
Speaker 2: left behind for their particular generation. And I don't know what.

915
01:00:32,400 --> 01:00:36,800
Speaker 2: One of the things that I admire about you and

916
01:00:36,800 --> 01:00:39,880
Speaker 2: and our mutual friend who I know co founded this

917
01:00:40,000 --> 01:00:42,600
Speaker 2: Unified Solutions America with you, and I found out about

918
01:00:42,600 --> 01:00:45,480
Speaker 2: it honestly on the radio. I was listening to our

919
01:00:45,520 --> 01:00:48,240
Speaker 2: friend Will Riley, who used to come on my radio

920
01:00:48,240 --> 01:00:51,800
Speaker 2: show regularly on on a show in Chicago, and he

921
01:00:51,880 --> 01:00:54,440
Speaker 2: was talking about this, uh, you know thing that you

922
01:00:54,440 --> 01:00:56,120
Speaker 2: guys put together, and so like, I want to I

923
01:00:56,120 --> 01:00:58,600
Speaker 2: want to get involved in this. This sounds awesome and

924
01:00:58,640 --> 01:01:00,720
Speaker 2: I'm on the again, full disclosure, I'm on the advisory

925
01:01:00,760 --> 01:01:04,120
Speaker 2: board of it. But this you why did you do this?

926
01:01:04,520 --> 01:01:08,600
Speaker 2: You saw obviously you created this well before this article

927
01:01:08,600 --> 01:01:11,400
Speaker 2: and this you know DEI stuff's been going on for years.

928
01:01:11,640 --> 01:01:14,640
Speaker 2: What was the impetus for you to say, you know what,

929
01:01:15,680 --> 01:01:20,160
Speaker 2: let's do something about this complete sickness that goes against

930
01:01:20,280 --> 01:01:23,960
Speaker 2: our ep lortibus unham motto of our country out of

931
01:01:24,000 --> 01:01:28,560
Speaker 2: many one instead this identitarianism. What was the ividus for

932
01:01:28,600 --> 01:01:30,520
Speaker 2: you to start this company?

933
01:01:31,160 --> 01:01:33,400
Speaker 4: So, as a matter of background, I was a management

934
01:01:33,440 --> 01:01:35,880
Speaker 4: consultant to the largest companies in the world before I

935
01:01:35,920 --> 01:01:39,160
Speaker 4: got into political punditry, and I wrote a book called

936
01:01:39,200 --> 01:01:42,760
Speaker 4: The Big Black Lie, my first book. Absolutely phenomenal book.

937
01:01:42,800 --> 01:01:44,479
Speaker 4: I'm not saying it because I wrote it. I'm telling

938
01:01:44,560 --> 01:01:48,600
Speaker 4: you it's phenomenal book. And it essentially talks about being

939
01:01:48,600 --> 01:01:51,959
Speaker 4: this young kid whose mother died before he turned five,

940
01:01:52,040 --> 01:01:55,280
Speaker 4: father in San Quentin prison, and being told all the

941
01:01:55,280 --> 01:01:57,640
Speaker 4: things I couldn't do as a young black kid growing

942
01:01:57,680 --> 01:01:58,880
Speaker 4: up in the sixties.

943
01:01:58,800 --> 01:02:00,920
Speaker 5: And I was like, this complete nonsense.

944
01:02:01,400 --> 01:02:05,360
Speaker 4: And so I've watched the infantilizing of the black culture

945
01:02:05,880 --> 01:02:09,320
Speaker 4: and this slow transition of black culture into what it

946
01:02:09,400 --> 01:02:12,360
Speaker 4: is today, which to me is unrecognizable from what I

947
01:02:12,360 --> 01:02:15,280
Speaker 4: grew up in. And I described it a bit earlier

948
01:02:15,280 --> 01:02:19,840
Speaker 4: in the first segment. So I believed in meritocracy period,

949
01:02:19,880 --> 01:02:22,520
Speaker 4: if somebody was better than you, you worked hard and

950
01:02:22,560 --> 01:02:24,880
Speaker 4: you tried to get better, or you found out, you

951
01:02:24,920 --> 01:02:27,520
Speaker 4: know what, I'm not an artist. Stop trying to be

952
01:02:27,520 --> 01:02:30,160
Speaker 4: an artist, Kevin. You drawing like you're drawing with your feet.

953
01:02:30,800 --> 01:02:32,760
Speaker 4: Go be in something else. Go be a football player,

954
01:02:32,840 --> 01:02:34,919
Speaker 4: Go be an accountant. Find out what.

955
01:02:34,800 --> 01:02:35,800
Speaker 2: You're good at.

956
01:02:35,920 --> 01:02:38,880
Speaker 4: And so then when I got into management consulting, and

957
01:02:38,920 --> 01:02:42,120
Speaker 4: I'm looking at these companies and I'm watching HR departments

958
01:02:42,120 --> 01:02:47,000
Speaker 4: grow from HR to fifty different flavors. Well, I'm the

959
01:02:47,200 --> 01:02:50,560
Speaker 4: HR person for LGBT and then no, I'm the HR.

960
01:02:50,360 --> 01:02:52,720
Speaker 5: Person for the L. I'm the HR person for the G,

961
01:02:52,960 --> 01:02:56,160
Speaker 5: the B, G, the Q, the eight, the plus, you.

962
01:02:56,120 --> 01:02:58,120
Speaker 4: Know, the blacks, the whites, or whatever is. And I'm going,

963
01:02:58,240 --> 01:03:01,120
Speaker 4: what are you guys doing? I'd asked at a company, Kevin,

964
01:03:01,160 --> 01:03:02,960
Speaker 4: do you want to be? When I was an electrical

965
01:03:03,000 --> 01:03:06,080
Speaker 4: design engineer designing supercomputers, Kevin, do you want to be

966
01:03:06,080 --> 01:03:08,680
Speaker 4: part of the Black Engineers Association? I said, what do

967
01:03:08,800 --> 01:03:11,160
Speaker 4: we design supercomputers for just black people? Or do we

968
01:03:11,200 --> 01:03:14,480
Speaker 4: design them for people? And so those are the things

969
01:03:14,560 --> 01:03:17,640
Speaker 4: I saw in the eighties and the nineties, and I said,

970
01:03:17,720 --> 01:03:18,400
Speaker 4: you know what.

971
01:03:18,280 --> 01:03:20,440
Speaker 5: I see where we're headed here.

972
01:03:20,560 --> 01:03:22,520
Speaker 4: We're going to be companies are going to be so

973
01:03:22,640 --> 01:03:26,960
Speaker 4: focused on do I have a cross sex cross you know,

974
01:03:27,320 --> 01:03:32,200
Speaker 4: dressing Guatemalan transsexual, you know, midget to put in this

975
01:03:33,080 --> 01:03:36,760
Speaker 4: box because I need to fill the box, versus do

976
01:03:36,840 --> 01:03:40,560
Speaker 4: I have somebody competent? And so it became sort of

977
01:03:40,600 --> 01:03:45,000
Speaker 4: this thing to put meritocracy, which is what black people

978
01:03:45,040 --> 01:03:45,720
Speaker 4: grew up with.

979
01:03:46,040 --> 01:03:48,320
Speaker 5: Look, white white folks.

980
01:03:48,400 --> 01:03:50,320
Speaker 4: If I said to you, who was the first white

981
01:03:50,480 --> 01:03:54,400
Speaker 4: boxing heavyweight champ or whatever, you may not know, I

982
01:03:54,560 --> 01:03:57,680
Speaker 4: know who the first black heavyweight boxing champion was, Jack Johnson.

983
01:03:58,040 --> 01:04:00,320
Speaker 4: Why do I know that? Because black folks.

984
01:04:00,120 --> 01:04:02,240
Speaker 5: We were proud of our first We were proud.

985
01:04:02,000 --> 01:04:06,160
Speaker 4: Of Arthur ash Whyomi Atthias Wilma, Rudolph Arthur I Am.

986
01:04:06,240 --> 01:04:08,760
Speaker 5: I mean I could go down the list of first

987
01:04:08,840 --> 01:04:11,960
Speaker 5: Jesse Owens right. We knew who they were because they.

988
01:04:11,920 --> 01:04:16,000
Speaker 4: Represented us, and they represented us in the best way possible.

989
01:04:16,320 --> 01:04:18,520
Speaker 5: And it was part of our.

990
01:04:18,000 --> 01:04:20,960
Speaker 4: DNA to say you better, you know, you better be

991
01:04:21,000 --> 01:04:23,400
Speaker 4: the Jackie Robinson or whatever you do, Kevin, you better

992
01:04:23,440 --> 01:04:26,560
Speaker 4: be this or that. We put that was so ingrained

993
01:04:26,560 --> 01:04:29,440
Speaker 4: in us, it was pathetic. Why are we not ingraining

994
01:04:29,480 --> 01:04:32,320
Speaker 4: that in people anymore? To be the best representative of

995
01:04:32,400 --> 01:04:35,160
Speaker 4: number one yourself, Number two your family number three, your

996
01:04:35,160 --> 01:04:39,800
Speaker 4: community number four, your state, you know, and it goes

997
01:04:39,800 --> 01:04:43,600
Speaker 4: out to being the best representative of your country, of

998
01:04:43,640 --> 01:04:44,440
Speaker 4: your culture.

999
01:04:45,040 --> 01:04:46,360
Speaker 5: And we don't do that anymore.

1000
01:04:46,560 --> 01:04:49,040
Speaker 4: And so when I look at businesses, I looked at

1001
01:04:49,040 --> 01:04:51,120
Speaker 4: the failing businesses, and I said, I can tell you

1002
01:04:51,200 --> 01:04:54,520
Speaker 4: exactly why you're failing. You don't care about your product.

1003
01:04:54,960 --> 01:04:59,040
Speaker 4: All you care about is meeting some DEI or ESG. Nonsense.

1004
01:04:59,200 --> 01:05:02,880
Speaker 4: That's zero, I mean zero to do with your product. Oh,

1005
01:05:03,200 --> 01:05:06,840
Speaker 4: our stuff was ethically sourced, so our chickens were you

1006
01:05:06,840 --> 01:05:08,520
Speaker 4: know what they call it free range.

1007
01:05:08,640 --> 01:05:10,480
Speaker 5: Let me tell you, a dead chicken is a dead chicken.

1008
01:05:10,480 --> 01:05:12,520
Speaker 5: I don't care what the free range there was raised

1009
01:05:12,720 --> 01:05:14,120
Speaker 5: and of saying.

1010
01:05:14,360 --> 01:05:16,240
Speaker 4: So at the end of the day, stop telling me

1011
01:05:16,280 --> 01:05:19,760
Speaker 4: what you're doing and start just making your product the best.

1012
01:05:19,840 --> 01:05:22,000
Speaker 5: Look at the people who make their products the best.

1013
01:05:22,000 --> 01:05:22,720
Speaker 5: Elon Musk.

1014
01:05:23,200 --> 01:05:26,800
Speaker 4: Nobody will debate that Elon Musk is making the best

1015
01:05:27,000 --> 01:05:32,680
Speaker 4: possible product. There is nobody that makes better telecommunications equipment.

1016
01:05:32,560 --> 01:05:35,360
Speaker 5: It makes better cars, it makes better earth moving equipment.

1017
01:05:35,400 --> 01:05:39,600
Speaker 4: These this core drilling machines, anything that guy touches, it

1018
01:05:39,680 --> 01:05:41,800
Speaker 4: is all about meritocracy.

1019
01:05:42,400 --> 01:05:44,000
Speaker 5: That's what we should be focused.

1020
01:05:43,640 --> 01:05:48,720
Speaker 2: On yes, and I'm all in on this. I think

1021
01:05:48,720 --> 01:05:52,439
Speaker 2: it is the wave of the future of you know,

1022
01:05:52,840 --> 01:05:56,120
Speaker 2: how companies and how institutions should be set up. Really,

1023
01:05:56,360 --> 01:05:59,720
Speaker 2: it's it's going it's not going backwards. It's progressing forward

1024
01:05:59,800 --> 01:06:04,520
Speaker 2: to unity, to yes, the melting pot sort of mentality

1025
01:06:04,880 --> 01:06:09,800
Speaker 2: and merit comes first. What you do and accomplish comes first.

1026
01:06:09,840 --> 01:06:12,400
Speaker 2: I don't care what the color of the skin is

1027
01:06:12,400 --> 01:06:15,640
Speaker 2: of the pilot of my plane. I hope and pray

1028
01:06:16,000 --> 01:06:19,560
Speaker 2: he's the best pilot he can possibly be and he

1029
01:06:19,640 --> 01:06:22,080
Speaker 2: beat out of a bunch of other people for that job.

1030
01:06:22,080 --> 01:06:24,919
Speaker 2: When I know that Unified Solutions of America is trying

1031
01:06:24,960 --> 01:06:28,840
Speaker 2: to help companies get to that get back to that merit,

1032
01:06:29,120 --> 01:06:34,120
Speaker 2: not the DEI junk science. Kevin, Unfortunately, we're out of time. Heck,

1033
01:06:34,160 --> 01:06:36,320
Speaker 2: we could have had you on all three hours. But

1034
01:06:36,400 --> 01:06:38,440
Speaker 2: anything else you'd like to add before we say goodbye,

1035
01:06:38,520 --> 01:06:40,200
Speaker 2: Kevin Jackson, No.

1036
01:06:40,360 --> 01:06:43,200
Speaker 4: Guys, look check out Unified Solutions of America.

1037
01:06:43,200 --> 01:06:45,400
Speaker 5: And also, I have a charity that does.

1038
01:06:45,280 --> 01:06:48,880
Speaker 4: The same thing, Seeking Educational Excellence dot org does it

1039
01:06:48,960 --> 01:06:52,000
Speaker 4: for education, So hopefully people will check those sites out.

1040
01:06:52,520 --> 01:06:56,560
Speaker 2: Seeking Educational Excellent Excellence dot org and Unified Solutions of America,

1041
01:06:56,640 --> 01:06:59,440
Speaker 2: Kevin Jackson, thanks so much for coming on Tony Katz today.

1042
01:06:59,480 --> 01:07:01,960
Speaker 2: This is my Coolie in for Tony. Will be right back,

1043
01:07:02,200 --> 01:07:07,560
Speaker 2: Yes he does. Welcome back. Tony Katz is today Mike

1044
01:07:07,560 --> 01:07:11,800
Speaker 2: Coolidge in for Tony k O L I DG E

1045
01:07:12,720 --> 01:07:19,800
Speaker 2: on X. This story is going viral and it reminds

1046
01:07:19,800 --> 01:07:22,200
Speaker 2: me of some other stories or this, this piece that

1047
01:07:22,320 --> 01:07:25,680
Speaker 2: this Jacob Savage wrote called the Lost Generation. Just look

1048
01:07:25,760 --> 01:07:28,920
Speaker 2: it up, Google the Lost Generation. It'll pop up right away.

1049
01:07:29,000 --> 01:07:32,760
Speaker 2: Jade Vance was tweeted about it earlier. It reminds me

1050
01:07:32,840 --> 01:07:35,640
Speaker 2: of I have an Asian friend, one of my best friends,

1051
01:07:35,880 --> 01:07:42,040
Speaker 2: who was very high up at a very well known corporation.

1052
01:07:42,800 --> 01:07:52,520
Speaker 2: And during the George Floyd Mania twenty one, he gets

1053
01:07:52,720 --> 01:07:55,360
Speaker 2: called into a zoom, you know, because people were all

1054
01:07:55,400 --> 01:07:59,360
Speaker 2: doing zoom then because it was the COVID era and he, uh,

1055
01:08:00,080 --> 01:08:03,000
Speaker 2: it's a special zoom that he was on for this

1056
01:08:03,080 --> 01:08:09,040
Speaker 2: you know, big corporation. And he when he joined the zoom,

1057
01:08:09,240 --> 01:08:12,960
Speaker 2: he knew right away, now I see what they're doing.

1058
01:08:13,520 --> 01:08:16,840
Speaker 2: Every single person, you know, his screen was filled with

1059
01:08:16,960 --> 01:08:19,600
Speaker 2: it was I don't know twenty people, and all of

1060
01:08:19,600 --> 01:08:24,560
Speaker 2: them were Asian. And he is conservative and he just

1061
01:08:24,640 --> 01:08:29,519
Speaker 2: kind of rolled his eyes immediately, and the facilitator said

1062
01:08:29,560 --> 01:08:33,240
Speaker 2: something to the effect of, Okay, so we have everyone

1063
01:08:33,280 --> 01:08:35,880
Speaker 2: of Asian descent in the in the s meeting here

1064
01:08:35,920 --> 01:08:39,840
Speaker 2: of this company, and so we just want to kind

1065
01:08:39,840 --> 01:08:42,160
Speaker 2: of use this as a sounding board, and I want

1066
01:08:42,200 --> 01:08:44,599
Speaker 2: you to express any sort of racism that you might

1067
01:08:44,640 --> 01:08:50,000
Speaker 2: have felt at this, you know, corporation. And he listens

1068
01:08:50,080 --> 01:08:52,800
Speaker 2: to a lot of people. Some of them, you know,

1069
01:08:53,000 --> 01:08:56,240
Speaker 2: said ridiculous things. Some people kind of questioned the point

1070
01:08:56,240 --> 01:08:57,760
Speaker 2: of it, and then he questioned the point of it too.

1071
01:08:58,520 --> 01:09:02,320
Speaker 2: He's like, what we're so we're searching for problems here

1072
01:09:02,360 --> 01:09:04,960
Speaker 2: where they don't exist. I haven't felt any racism at

1073
01:09:05,000 --> 01:09:07,799
Speaker 2: all anywhere ever about you know, in this particular company.

1074
01:09:08,920 --> 01:09:10,599
Speaker 2: Why do we waste Why are we wasting our time

1075
01:09:10,640 --> 01:09:13,240
Speaker 2: on this? Shouldn't we be focused on making X? I

1076
01:09:13,280 --> 01:09:14,680
Speaker 2: don't want to say what they make, but you know

1077
01:09:14,680 --> 01:09:18,200
Speaker 2: they're a big deal, you know, should I shouldn't we

1078
01:09:18,280 --> 01:09:20,160
Speaker 2: be focusing on Isn't this an absolute waste of time?

1079
01:09:20,520 --> 01:09:26,320
Speaker 2: And it is a microcosm of the larger waste of

1080
01:09:26,520 --> 01:09:31,000
Speaker 2: time that has occurred over the last ten years, waste

1081
01:09:31,040 --> 01:09:37,479
Speaker 2: of time and money billions and billions of dollars towards

1082
01:09:38,000 --> 01:09:44,679
Speaker 2: d e I at various institutions, corporations, and the federal government.

1083
01:09:45,240 --> 01:09:49,040
Speaker 2: I mean, the federal government during the entire Obama era

1084
01:09:50,880 --> 01:09:56,240
Speaker 2: leaned really, really into this, entire departments and department heads

1085
01:09:57,760 --> 01:10:04,600
Speaker 2: centered around DEI. There's a piece by Jay Batachara and

1086
01:10:04,720 --> 01:10:08,480
Speaker 2: Matthew Momoli how they cured DEI at the National Institutes

1087
01:10:08,600 --> 01:10:12,200
Speaker 2: of Health that I read that was really good, just

1088
01:10:12,240 --> 01:10:18,320
Speaker 2: talking about how they saw a problem, a waste of

1089
01:10:18,360 --> 01:10:21,439
Speaker 2: government money. I don't know if this was necessarily done

1090
01:10:21,479 --> 01:10:26,919
Speaker 2: with DOGE, but he just talked about how they're undoing

1091
01:10:26,960 --> 01:10:31,400
Speaker 2: it there getting more bang for your buck from American

1092
01:10:31,479 --> 01:10:34,880
Speaker 2: taxpayers to know that they're not wasting money on this

1093
01:10:35,080 --> 01:10:41,120
Speaker 2: DEI ridiculousness at the federal level. One department down, NIH,

1094
01:10:41,479 --> 01:10:45,240
Speaker 2: many many more to go as far as extricating from this.

1095
01:10:45,240 --> 01:10:47,080
Speaker 2: This is Tony Kats today. Up we'll be read.

1096
01:10:46,960 --> 01:10:57,800
Speaker 1: Back live from Dall Hartbeyer and the Crossroads of America.

1097
01:10:58,080 --> 01:11:09,400
Speaker 8: It's Tony Katz today, Tony Katz today. Mike Coolidge in

1098
01:11:09,560 --> 01:11:11,720
Speaker 8: for Tony Katz. That would be me.

1099
01:11:12,720 --> 01:11:16,120
Speaker 2: Last name is spelled K O L I d G E.

1100
01:11:16,280 --> 01:11:22,560
Speaker 2: That's also my handle on X at koo l I

1101
01:11:22,640 --> 01:11:26,160
Speaker 2: d g E. Feel free to follow me there and

1102
01:11:26,200 --> 01:11:29,200
Speaker 2: you'll see a pinned tweet at the top if you

1103
01:11:29,240 --> 01:11:32,040
Speaker 2: see that. I think it was called tweeting still no, No,

1104
01:11:32,120 --> 01:11:34,120
Speaker 2: I think it was X by the time I tweeted

1105
01:11:34,120 --> 01:11:39,040
Speaker 2: this anyway. This was during the campaign last year I

1106
01:11:39,240 --> 01:11:45,679
Speaker 2: posted a piece about or I wrote this explanation about

1107
01:11:45,760 --> 01:11:51,040
Speaker 2: the different levels of combat service in the military because

1108
01:11:51,120 --> 01:11:57,439
Speaker 2: Tim Walls, the governor of Minnesota, lied and insinuated that

1109
01:11:57,520 --> 01:12:02,720
Speaker 2: he served in combat zone numerous times when he was

1110
01:12:02,760 --> 01:12:05,680
Speaker 2: both running for Congress and when he was running for

1111
01:12:05,800 --> 01:12:08,800
Speaker 2: governor and when he won for governor.

1112
01:12:08,960 --> 01:12:09,360
Speaker 4: And.

1113
01:12:11,280 --> 01:12:13,720
Speaker 2: Some people didn't think it was a big deal. And

1114
01:12:14,280 --> 01:12:17,320
Speaker 2: I laid out as somebody who served in the military

1115
01:12:17,560 --> 01:12:21,479
Speaker 2: and was in a combat zone for a year and

1116
01:12:21,560 --> 01:12:25,840
Speaker 2: also processed like paperwork and metals for people who did

1117
01:12:26,200 --> 01:12:30,080
Speaker 2: different things. I have a little bit of an insight

1118
01:12:30,240 --> 01:12:33,280
Speaker 2: to this, and I don't. For whatever reason the post

1119
01:12:33,360 --> 01:12:37,599
Speaker 2: went viral, I think it was because no one who

1120
01:12:38,200 --> 01:12:43,160
Speaker 2: no one broke down the different levels of combat service

1121
01:12:43,240 --> 01:12:44,640
Speaker 2: like I had in the way I did, which was

1122
01:12:44,840 --> 01:12:50,080
Speaker 2: very kind of layman's terms. You know, when you say

1123
01:12:50,240 --> 01:12:54,080
Speaker 2: you served in combat, is that the same as serving

1124
01:12:54,080 --> 01:12:59,640
Speaker 2: in a combat zone. And when you say or in

1125
01:12:59,680 --> 01:13:03,880
Speaker 2: sin weight, that you served in war, like Tim Walls

1126
01:13:03,880 --> 01:13:08,240
Speaker 2: did numerous times, or if you did something even worse

1127
01:13:08,280 --> 01:13:12,400
Speaker 2: than that, like Senator Blumenthal in Connecticut who said he

1128
01:13:12,520 --> 01:13:15,760
Speaker 2: served in the Vietnam War and never left the country.

1129
01:13:15,960 --> 01:13:18,479
Speaker 2: Tim Walls at least served overseas, never in a combat zone.

1130
01:13:18,479 --> 01:13:21,000
Speaker 2: What overseas he did, but then insinuated that he served

1131
01:13:21,040 --> 01:13:24,559
Speaker 2: in a combat zone he did not, which is really, really,

1132
01:13:24,600 --> 01:13:28,519
Speaker 2: really a bad thing. If you're a veteran like you lose,

1133
01:13:28,960 --> 01:13:33,519
Speaker 2: it's a very dishonorable thing. Anyway, I only I'm not

1134
01:13:33,560 --> 01:13:36,519
Speaker 2: bringing this up to talk about a post I that

1135
01:13:36,560 --> 01:13:38,960
Speaker 2: went viral. You can read it on X if you want.

1136
01:13:39,720 --> 01:13:45,080
Speaker 2: But Tim Walls is continuing to be in the news

1137
01:13:45,479 --> 01:13:49,120
Speaker 2: for just being really, really really bad at his job.

1138
01:13:49,280 --> 01:13:53,320
Speaker 2: And again, this is why we have this vetting process

1139
01:13:53,520 --> 01:13:58,120
Speaker 2: for politicians. It's called campaigns. Right when someone runs for

1140
01:13:58,240 --> 01:14:03,920
Speaker 2: office and and they are exposed as a liar or

1141
01:14:04,000 --> 01:14:10,679
Speaker 2: a huge embellisher, you're being really charitable if you said

1142
01:14:10,720 --> 01:14:14,360
Speaker 2: he merely embellished his military resume, No, he lied about it.

1143
01:14:15,439 --> 01:14:18,000
Speaker 2: He insinuated numerous times that he served in a comment zone,

1144
01:14:18,040 --> 01:14:21,200
Speaker 2: he did not. That's probably a good indication that you

1145
01:14:21,240 --> 01:14:24,600
Speaker 2: shouldn't vote for them, you shouldn't hire them to the

1146
01:14:24,640 --> 01:14:32,040
Speaker 2: position that they're running for because and some electorates do

1147
01:14:32,120 --> 01:14:34,599
Speaker 2: it anyway. They did in Minnesota, and they did for

1148
01:14:35,320 --> 01:14:38,360
Speaker 2: Bloomenthal in Connecticut. I know Connecticut is a very blue state,

1149
01:14:38,760 --> 01:14:41,599
Speaker 2: but that should have been a disqualifier. You lie about

1150
01:14:41,640 --> 01:14:44,720
Speaker 2: serving in Vietnam and you didn't serve in Vietnam, that

1151
01:14:44,720 --> 01:14:46,679
Speaker 2: should be like, no, what are you doing this again?

1152
01:14:47,080 --> 01:14:50,479
Speaker 2: Which is the importance of having a good, solid Republican party,

1153
01:14:50,760 --> 01:14:57,200
Speaker 2: even in blue states, is important because sometimes when a

1154
01:14:57,240 --> 01:15:01,599
Speaker 2: Democrat politician falls flat on their face, there's enough rational

1155
01:15:01,640 --> 01:15:04,840
Speaker 2: people in the electorate, even Democrats, who might say, no,

1156
01:15:05,000 --> 01:15:07,680
Speaker 2: that's a bridge too far, you can't do that. We're

1157
01:15:07,720 --> 01:15:10,120
Speaker 2: gonna vote for the Republican this time, because you know

1158
01:15:10,760 --> 01:15:15,280
Speaker 2: you're insulting our intelligence here and you're clearly an unethical person.

1159
01:15:15,840 --> 01:15:16,120
Speaker 5: Uh.

1160
01:15:16,160 --> 01:15:18,240
Speaker 2: Well, that happened with Tim Walls, and that happened with

1161
01:15:18,920 --> 01:15:23,080
Speaker 2: Senator Blumenthal. But they still voted for them and elected

1162
01:15:23,120 --> 01:15:26,040
Speaker 2: them into office. Well, Uh, there's not a whole lot

1163
01:15:26,080 --> 01:15:28,439
Speaker 2: of damage. You can do a lot more damage as

1164
01:15:28,479 --> 01:15:32,200
Speaker 2: a governor than you can as a senator. I'll lay

1165
01:15:32,200 --> 01:15:35,000
Speaker 2: that out there right now, little civics, lesson uh for

1166
01:15:35,280 --> 01:15:40,679
Speaker 2: for y'all, And most people know this. A senator simply

1167
01:15:41,000 --> 01:15:43,200
Speaker 2: represents a state with the other senator.

1168
01:15:43,280 --> 01:15:43,439
Speaker 5: Right.

1169
01:15:43,760 --> 01:15:47,240
Speaker 2: You write legislation, you pass legislation. You're not really in

1170
01:15:47,360 --> 01:15:51,559
Speaker 2: charge of anything other than your own staff. You have

1171
01:15:51,680 --> 01:15:54,519
Speaker 2: a lot of say in what laws are passed and

1172
01:15:54,560 --> 01:15:57,200
Speaker 2: what laws are gotten rid of in the country, but

1173
01:15:57,320 --> 01:16:00,840
Speaker 2: you're not a leader and executive in the same way

1174
01:16:00,880 --> 01:16:04,280
Speaker 2: that a president is where a mayor is, where a

1175
01:16:04,360 --> 01:16:08,320
Speaker 2: governor is. Governors are have a lot of power. I mean,

1176
01:16:08,320 --> 01:16:11,120
Speaker 2: they're in charge of the national Guard. They in many

1177
01:16:11,120 --> 01:16:16,519
Speaker 2: ways have a direct line to the federal government as

1178
01:16:16,520 --> 01:16:20,160
Speaker 2: far as what federal funds come in and what state

1179
01:16:20,200 --> 01:16:23,840
Speaker 2: government programs are funded properly and how they're run. I mean,

1180
01:16:23,840 --> 01:16:28,559
Speaker 2: they're in charge of the whole state's government. Right. Well,

1181
01:16:29,320 --> 01:16:33,920
Speaker 2: if you hire an incompetent buffoon like Tim Walls, you're

1182
01:16:33,920 --> 01:16:40,120
Speaker 2: gonna get bad governing. You're gonna waste a lot of money,

1183
01:16:40,760 --> 01:16:43,920
Speaker 2: tax payer money, your money. They'll waste your money. Here

1184
01:16:44,000 --> 01:16:51,120
Speaker 2: is here is here's a quick little story from a

1185
01:16:51,240 --> 01:16:56,840
Speaker 2: news guy in Minnesota who is laying out and this

1186
01:16:56,880 --> 01:17:00,360
Speaker 2: is again this is this is a mainstream news. This

1187
01:17:00,400 --> 01:17:05,840
Speaker 2: isn't some conservative in Minnesota laying out this scandal here

1188
01:17:05,840 --> 01:17:10,160
Speaker 2: with the Somali things. This is a well, let's just

1189
01:17:10,200 --> 01:17:16,240
Speaker 2: play it. This is from ABC five in Minnesota.

1190
01:17:17,280 --> 01:17:20,719
Speaker 7: More questionable spending of your tax dollars.

1191
01:17:20,880 --> 01:17:22,360
Speaker 2: I'm investigative reporter Ryan.

1192
01:17:22,240 --> 01:17:24,439
Speaker 7: Raise, and you are not going to believe what we

1193
01:17:24,520 --> 01:17:29,320
Speaker 7: found This time a Minnesota nonprofit kept receiving state grants

1194
01:17:29,479 --> 01:17:34,320
Speaker 7: hundreds of thousands of your tax dollars, even after the

1195
01:17:34,479 --> 01:17:38,320
Speaker 7: board share was charged in a massive fraud case. The

1196
01:17:38,439 --> 01:17:43,839
Speaker 7: organization is Kajog, once celebrated nonprofit that helps Somali kids.

1197
01:17:44,400 --> 01:17:47,120
Speaker 7: Two years ago, it's board share was charged with a

1198
01:17:47,160 --> 01:17:50,840
Speaker 7: group of men accused of stealing nine million dollars from

1199
01:17:50,920 --> 01:17:56,200
Speaker 7: DHS's Personal Care Assistance program, yet another medicaid program. Despite

1200
01:17:56,200 --> 01:18:00,559
Speaker 7: those charges, I found DHS kept sending Kajog more than

1201
01:18:00,640 --> 01:18:05,479
Speaker 7: six hundred thousand dollars. This had some wallmakers fired up.

1202
01:18:05,479 --> 01:18:07,920
Speaker 5: With the Department of Human Services. Appears to be asleep

1203
01:18:07,960 --> 01:18:08,400
Speaker 5: at the wheel.

1204
01:18:09,400 --> 01:18:14,360
Speaker 2: Yeah, the Department of Human Services talking about the Department

1205
01:18:14,400 --> 01:18:17,720
Speaker 2: of Human Services in Minnesota, who's ultimately in charge of that?

1206
01:18:18,160 --> 01:18:22,599
Speaker 2: Tim Walls six hundred Grand again. I know, I don't

1207
01:18:22,600 --> 01:18:25,880
Speaker 2: think there's any Tony Kats Show listeners Tony CAATs Today

1208
01:18:25,880 --> 01:18:29,040
Speaker 2: Show listeners in Minnesota. I'm just saying this, if you

1209
01:18:29,080 --> 01:18:31,400
Speaker 2: live in Indiana, or you live in Illinois like I do,

1210
01:18:31,760 --> 01:18:35,679
Speaker 2: or any state, if you have a doesn't matter. Even

1211
01:18:35,720 --> 01:18:39,439
Speaker 2: if he's a Republican or a Democrat as your governor,

1212
01:18:40,600 --> 01:18:45,799
Speaker 2: and he or she is a terrible stoared of your

1213
01:18:45,960 --> 01:18:49,599
Speaker 2: state tax dollars, you need to fire him. And if

1214
01:18:49,600 --> 01:18:53,200
Speaker 2: he's really bad, like Tim Wallas, you need to demand

1215
01:18:53,240 --> 01:18:57,920
Speaker 2: that he resigned. So now the Trump administration is saying,

1216
01:18:57,960 --> 01:19:01,040
Speaker 2: you know what, You're not going to get more federal

1217
01:19:01,200 --> 01:19:06,600
Speaker 2: tax dollars, Minnesota, because you are a terrible steward of

1218
01:19:06,640 --> 01:19:10,000
Speaker 2: the money we've given you already clearly. And here's Tim

1219
01:19:10,000 --> 01:19:12,799
Speaker 2: Wallas's response to that in a press conference.

1220
01:19:14,120 --> 01:19:16,679
Speaker 5: It's one of I don't want to say the number.

1221
01:19:16,720 --> 01:19:19,439
Speaker 9: It's countless numbers. Every night I get an update on

1222
01:19:19,520 --> 01:19:22,559
Speaker 9: this of the threats to our federal money on everything

1223
01:19:22,600 --> 01:19:24,760
Speaker 9: we do, because look, right now, it's very clear the

1224
01:19:24,880 --> 01:19:29,719
Speaker 9: entire federal government is weaponized against Minnesota and the issues

1225
01:19:29,720 --> 01:19:32,360
Speaker 9: of things that should be states right states to control.

1226
01:19:32,560 --> 01:19:34,880
Speaker 9: They're threatening us with this, and this is what happens

1227
01:19:34,920 --> 01:19:37,240
Speaker 9: when you have a floundering presidency, and it is about

1228
01:19:37,280 --> 01:19:39,920
Speaker 9: those ballrooms and everything else. Now we're back on transgender

1229
01:19:40,120 --> 01:19:40,559
Speaker 9: folks and.

1230
01:19:40,600 --> 01:19:43,840
Speaker 2: The what the heck is he talking about ballrooms and

1231
01:19:43,880 --> 01:19:50,439
Speaker 2: transgender folks? Folks, it's always folks. Here's the thing, whatever

1232
01:19:50,439 --> 01:19:53,680
Speaker 2: state you live in, you pay federal taxes, right, they

1233
01:19:53,680 --> 01:19:56,479
Speaker 2: go to DC and then they get dished out to

1234
01:19:56,600 --> 01:20:02,000
Speaker 2: all the other states. So you who are paying for

1235
01:20:02,560 --> 01:20:06,360
Speaker 2: a lot of these government programs in Minnesota through your

1236
01:20:06,360 --> 01:20:11,559
Speaker 2: federal tax dollars. And President Trump and the Trump administration said,

1237
01:20:11,560 --> 01:20:16,880
Speaker 2: whoa slow down. You guys have been clearly mismanaging this,

1238
01:20:17,160 --> 01:20:22,440
Speaker 2: maybe criminally maybe, So yeah, we're cutting you off, thankfully.

1239
01:20:23,520 --> 01:20:26,080
Speaker 2: And he's whining about that and saying, oh, it's political.

1240
01:20:26,080 --> 01:20:29,719
Speaker 2: I have something to do with Trump. I hope we

1241
01:20:30,360 --> 01:20:34,400
Speaker 2: find out in the coming news cycles that Tim Walls

1242
01:20:34,439 --> 01:20:38,760
Speaker 2: resigns in disgrace. I do not respect him at all

1243
01:20:38,880 --> 01:20:41,479
Speaker 2: because of the aforementioned things about how he lied about

1244
01:20:42,520 --> 01:20:44,880
Speaker 2: serving in a combat zone, insinuated that he did and

1245
01:20:44,920 --> 01:20:49,960
Speaker 2: he didn't, and he was a complete joke in the

1246
01:20:50,000 --> 01:20:53,759
Speaker 2: presidential campaign last year. Can you imagine if Kamala Harris

1247
01:20:53,800 --> 01:20:57,519
Speaker 2: had won and he had somehow been second in command.

1248
01:20:57,680 --> 01:20:59,560
Speaker 2: God something happen to Kama Harris, this Scuy would have

1249
01:20:59,560 --> 01:21:04,280
Speaker 2: been president on the United States Paris the thought thankfully

1250
01:21:04,360 --> 01:21:07,360
Speaker 2: that didn't happen though, But that just shows you how

1251
01:21:07,680 --> 01:21:12,760
Speaker 2: close you and how bad things can get if you

1252
01:21:12,880 --> 01:21:16,240
Speaker 2: let people like this get close to power. This is

1253
01:21:16,320 --> 01:21:19,320
Speaker 2: Tony Katz today. I am Mike Coolidge in for Tony.

1254
01:21:19,520 --> 01:21:22,240
Speaker 2: Will be right back. We're back on Tony Kats today,

1255
01:21:22,280 --> 01:21:26,120
Speaker 2: Mike Coolidge in for Tony Man. I do miss being

1256
01:21:26,120 --> 01:21:30,080
Speaker 2: on the radio every day. It was fun and this

1257
01:21:30,320 --> 01:21:33,519
Speaker 2: was then continues to be my favorite time of the year.

1258
01:21:34,160 --> 01:21:40,080
Speaker 2: And Christmas music, Christmas music bumpers. I would rotate them

1259
01:21:40,120 --> 01:21:46,120
Speaker 2: out on the Michael Coolidge Show every week, like different

1260
01:21:46,200 --> 01:21:48,880
Speaker 2: music bumpers that were Christmas Eve so that I could

1261
01:21:49,200 --> 01:21:53,480
Speaker 2: fit in all my favorite ones. And the waitresses Christmas

1262
01:21:53,600 --> 01:21:58,040
Speaker 2: Rapping definitely one of the best ones ever, especially of

1263
01:21:58,080 --> 01:22:04,599
Speaker 2: the Gen X generation. So another thing that radio hosts

1264
01:22:04,640 --> 01:22:10,959
Speaker 2: do is try to for their listeners talk about things

1265
01:22:11,920 --> 01:22:15,720
Speaker 2: that we think are relevant and that you might find interesting.

1266
01:22:16,240 --> 01:22:22,200
Speaker 2: And it's easy sometimes, especially in this day and age

1267
01:22:22,200 --> 01:22:27,439
Speaker 2: of just media consumption non stop and ex consumption non stop,

1268
01:22:27,439 --> 01:22:30,479
Speaker 2: and things just float by and then they go away.

1269
01:22:30,560 --> 01:22:32,240
Speaker 2: A news story comes and then it goes wait, wait,

1270
01:22:32,240 --> 01:22:34,679
Speaker 2: should we've talked about that a little bit more? Oh no, no, no, wait,

1271
01:22:34,760 --> 01:22:37,720
Speaker 2: oh no, there's a there's a mass killing somewhere. We

1272
01:22:37,720 --> 01:22:41,320
Speaker 2: got to talk about that. Oh no, we got we

1273
01:22:41,360 --> 01:22:43,200
Speaker 2: got we got to dial in on this for a second.

1274
01:22:43,720 --> 01:22:50,519
Speaker 2: This thing that happened in Fulton County, Georgia in twenty twenty.

1275
01:22:51,120 --> 01:22:54,200
Speaker 2: News came out about it today or this week. We

1276
01:22:54,240 --> 01:23:00,280
Speaker 2: should say that's a really big deal. Brianna Lyman in

1277
01:23:00,320 --> 01:23:06,000
Speaker 2: The Federalist wrote this piece about three hundred and fifteen

1278
01:23:06,560 --> 01:23:12,920
Speaker 2: thousand votes lacking poll workers' signatures in the twenty twenty election. Now, again,

1279
01:23:13,000 --> 01:23:16,800
Speaker 2: I want to put this out there that, like I'm

1280
01:23:16,840 --> 01:23:21,439
Speaker 2: not a I think the twenty twenty election was definitely rigged.

1281
01:23:21,680 --> 01:23:23,800
Speaker 2: And when I say it was rigged, I say it

1282
01:23:23,840 --> 01:23:27,960
Speaker 2: was rigged in the sense that there was the massive

1283
01:23:28,040 --> 01:23:31,240
Speaker 2: news story that we know for sure would have changed

1284
01:23:31,280 --> 01:23:36,160
Speaker 2: the election, the Hunter Biden laptop story that pulling afterwards

1285
01:23:36,160 --> 01:23:40,200
Speaker 2: said Democrats and Independence would have changed their votes if

1286
01:23:40,200 --> 01:23:43,799
Speaker 2: they had known that the president or the vice president

1287
01:23:43,840 --> 01:23:46,040
Speaker 2: at the time of the United States was you know,

1288
01:23:46,560 --> 01:23:51,040
Speaker 2: on the hook or on the take, basically with Ukrainian

1289
01:23:51,080 --> 01:23:55,559
Speaker 2: olagarks and Chinese communists, which this Hunter Biden laptop had

1290
01:23:55,600 --> 01:23:58,679
Speaker 2: evidence of, you know, the big guy, mister ten percent

1291
01:23:59,520 --> 01:24:03,600
Speaker 2: Joe Biden we're talking about. Yeah, that news story was

1292
01:24:03,800 --> 01:24:07,679
Speaker 2: squashed in the most massive way that any news story

1293
01:24:07,720 --> 01:24:12,120
Speaker 2: has ever been squashed. Ever, nothing even comes close. They

1294
01:24:12,240 --> 01:24:18,800
Speaker 2: deplatformed entire websites Parlor, which was like this alternative to

1295
01:24:18,840 --> 01:24:21,599
Speaker 2: Twitter at the time that was gaining steam. A lot

1296
01:24:21,640 --> 01:24:23,400
Speaker 2: more people were going on. I think Dan Bongino had

1297
01:24:23,439 --> 01:24:26,400
Speaker 2: something to do with it, and they just completely like

1298
01:24:26,560 --> 01:24:30,479
Speaker 2: the entity that it was on, the platform was on

1299
01:24:30,760 --> 01:24:35,080
Speaker 2: they got rid of. They said, you can't you're you're

1300
01:24:35,120 --> 01:24:39,960
Speaker 2: off the internet basically, and the only place that was

1301
01:24:39,960 --> 01:24:41,840
Speaker 2: talking about it was the New York Posts website. I mean,

1302
01:24:41,880 --> 01:24:43,840
Speaker 2: you couldn't even search for it on Google and would

1303
01:24:43,880 --> 01:24:48,800
Speaker 2: pop up. It was insane. And that alone was you know,

1304
01:24:48,840 --> 01:24:51,599
Speaker 2: Donald Trump would have won the election. But there are

1305
01:24:51,600 --> 01:24:55,679
Speaker 2: a lot of other election discrepancies, let's say that were

1306
01:24:55,720 --> 01:24:59,360
Speaker 2: eyebra raising, to say the least, and so much of

1307
01:24:59,360 --> 01:25:03,439
Speaker 2: it had to do with laws not being followed. Okay,

1308
01:25:03,760 --> 01:25:09,400
Speaker 2: talking about laws in Pennsylvania, talking about laws in Georgia.

1309
01:25:09,800 --> 01:25:14,639
Speaker 2: That's right, Georgia, and this one in particular, we just

1310
01:25:14,920 --> 01:25:18,800
Speaker 2: came out today. They're like hard evidence, black and white

1311
01:25:18,840 --> 01:25:25,960
Speaker 2: evidence that Donald Trump likely should have won Georgia and

1312
01:25:26,040 --> 01:25:29,040
Speaker 2: would have been the president in twenty one and he

1313
01:25:29,080 --> 01:25:31,840
Speaker 2: would no longer be president right now. Actually, who knows

1314
01:25:31,880 --> 01:25:36,720
Speaker 2: who it would be if they followed the law in

1315
01:25:36,760 --> 01:25:42,120
Speaker 2: Georgia the Federalists. Earlier this month, Fulton County admitted that

1316
01:25:42,160 --> 01:25:45,240
Speaker 2: approximately three hundred and fifteen thousand early votes from the

1317
01:25:45,280 --> 01:25:49,679
Speaker 2: twenty twenty election were illegally certified, but were nonetheless still

1318
01:25:49,720 --> 01:25:52,920
Speaker 2: included in the final results of the election. This is

1319
01:25:53,320 --> 01:25:57,960
Speaker 2: hard news. This isn't from some like conspiracy website or

1320
01:25:58,000 --> 01:26:01,479
Speaker 2: some underground deep web thing. No, this is black and

1321
01:26:01,520 --> 01:26:05,400
Speaker 2: white facts. The admission came during the December ninth hearing

1322
01:26:05,439 --> 01:26:08,559
Speaker 2: before the Georgia State Election Board, stemming from a challenge

1323
01:26:08,600 --> 01:26:12,919
Speaker 2: filed by David Cross, a local election integrity activist. Cross

1324
01:26:13,000 --> 01:26:16,479
Speaker 2: filed a challenge with the State Board of Elections or

1325
01:26:16,520 --> 01:26:19,479
Speaker 2: State Election Board in March of twenty twenty two. Cross

1326
01:26:19,520 --> 01:26:23,240
Speaker 2: elects that Fulton County violated Georgia statute in the handling

1327
01:26:23,400 --> 01:26:28,519
Speaker 2: of advanced voting ahead of November twenty election, counting hundreds

1328
01:26:28,560 --> 01:26:32,920
Speaker 2: of thousands of votes even though polling workers failed to

1329
01:26:33,040 --> 01:26:38,120
Speaker 2: sign off on the vote tabulation tapes critical to the

1330
01:26:38,120 --> 01:26:42,040
Speaker 2: certification process. Now, before you say, oh, well, I mean

1331
01:26:42,360 --> 01:26:45,640
Speaker 2: what some election worker didn't like initial a ballot, I

1332
01:26:45,640 --> 01:26:49,800
Speaker 2: mean they were legally cast ballots, right, and people I'm

1333
01:26:49,840 --> 01:26:53,240
Speaker 2: sure just voted normally, and you know you're talking about

1334
01:26:53,240 --> 01:26:56,280
Speaker 2: like a formality here, but you can't. I got to

1335
01:26:56,320 --> 01:27:01,000
Speaker 2: count those votes, right, No, stand by, let me keep reading.

1336
01:27:02,000 --> 01:27:09,120
Speaker 2: Fulton County admitted in this hearing that they were supposed

1337
01:27:09,160 --> 01:27:13,720
Speaker 2: to not count these votes at all because of this

1338
01:27:14,040 --> 01:27:18,519
Speaker 2: extremely important signature that needed to be on every single

1339
01:27:18,560 --> 01:27:22,040
Speaker 2: ballot by an election official. Ad Brumbaugh, attorney for the

1340
01:27:22,120 --> 01:27:25,439
Speaker 2: Fulton County Board Registration and Elections, told the State Election

1341
01:27:25,520 --> 01:27:27,439
Speaker 2: Board in the hearing that while she has not seen

1342
01:27:27,479 --> 01:27:30,160
Speaker 2: the tapes herself, the county does not dispute that the

1343
01:27:30,200 --> 01:27:34,559
Speaker 2: tapes were not signed. Quote it is, it was a

1344
01:27:34,720 --> 01:27:38,559
Speaker 2: violation of the rule. We since twenty twenty, again, we

1345
01:27:38,600 --> 01:27:40,639
Speaker 2: have new leadership and a new building, a new board,

1346
01:27:40,680 --> 01:27:44,360
Speaker 2: and a new standard operating procedure, and since then the

1347
01:27:44,400 --> 01:27:47,920
Speaker 2: training has been enhanced. But we do not dispute the

1348
01:27:47,960 --> 01:27:53,080
Speaker 2: allegation from the twenty twenty election. Georgia's Secretary of State

1349
01:27:53,120 --> 01:27:56,320
Speaker 2: office investigated the elected failure to sign tabulation tapes and

1350
01:27:56,400 --> 01:28:01,120
Speaker 2: substantiated the findings at the Fulton County of findings that

1351
01:28:01,160 --> 01:28:05,639
Speaker 2: Fulton County quote violated official election record document processes when

1352
01:28:05,680 --> 01:28:10,000
Speaker 2: it discovered that thirty six out of thirty seven precincts

1353
01:28:10,439 --> 01:28:13,800
Speaker 2: and Fulton County failed to sign the tabulation tapes. Now,

1354
01:28:13,880 --> 01:28:17,120
Speaker 2: let's talk about these tabulation tapes again, getting in the

1355
01:28:17,120 --> 01:28:20,960
Speaker 2: weeds here, but this is important. And wherever you live

1356
01:28:21,680 --> 01:28:23,720
Speaker 2: in whatever state you live in, where you're listening to

1357
01:28:23,720 --> 01:28:28,320
Speaker 2: this right now, go make sure that your county Board

1358
01:28:28,320 --> 01:28:31,360
Speaker 2: of Election or your county we call it in Illinois

1359
01:28:31,439 --> 01:28:38,000
Speaker 2: we call it the county clerk. Make sure that the

1360
01:28:38,000 --> 01:28:44,320
Speaker 2: county clerk is doing it right. Georgia law requires thetion

1361
01:28:44,479 --> 01:28:48,599
Speaker 2: officials have each ballot scanner print three closing tapes at

1362
01:28:48,640 --> 01:28:50,880
Speaker 2: the end of each voting day. Poll workers must sign

1363
01:28:50,960 --> 01:28:55,600
Speaker 2: these tapes or include a documented reason for refusal to

1364
01:28:55,640 --> 01:28:59,559
Speaker 2: sign these tapes voting law. Voting laws also require poll

1365
01:28:59,600 --> 01:29:02,120
Speaker 2: workers in Georgia to begin each day of voting by

1366
01:29:02,120 --> 01:29:06,160
Speaker 2: printing and signing a zero tape showing that voting machines

1367
01:29:06,200 --> 01:29:10,559
Speaker 2: are starting at zero votes. Right, this is important. Right

1368
01:29:11,400 --> 01:29:13,880
Speaker 2: day starts with early voting, with a stupid early We

1369
01:29:13,920 --> 01:29:16,920
Speaker 2: shouldn't do early voting anywhere. But that's a whole different topic.

1370
01:29:17,520 --> 01:29:20,000
Speaker 2: But you know, when you have these multiple days of voting,

1371
01:29:20,600 --> 01:29:24,120
Speaker 2: you on one day, let's say in precinct, you know,

1372
01:29:24,160 --> 01:29:26,640
Speaker 2: I have six hundred people in the precinct I live in.

1373
01:29:26,680 --> 01:29:28,760
Speaker 2: I'm a precinct committeement for the Republican Party, malls and

1374
01:29:28,760 --> 01:29:32,040
Speaker 2: the chairman of it locally, They at the end of

1375
01:29:32,080 --> 01:29:36,360
Speaker 2: the day say, okay, four hundred people voted in this precinct. Okay,

1376
01:29:36,760 --> 01:29:40,120
Speaker 2: So then if it's early voting the next day, if

1377
01:29:40,120 --> 01:29:43,000
Speaker 2: it's before you know, the final election day, how many

1378
01:29:43,080 --> 01:29:46,000
Speaker 2: people it's at zero?

1379
01:29:46,120 --> 01:29:46,280
Speaker 4: Now?

1380
01:29:46,400 --> 01:29:49,559
Speaker 2: Right, See, if you have you know, three hundred votes

1381
01:29:49,600 --> 01:29:54,320
Speaker 2: for Harris and one hundred for Trump, the next day,

1382
01:29:54,479 --> 01:29:57,320
Speaker 2: it should be at zero. It shouldn't still say from

1383
01:29:57,320 --> 01:29:59,960
Speaker 2: the previous day three hundred for Harris, hundred for Trump. Right,

1384
01:30:00,680 --> 01:30:03,519
Speaker 2: can't extra count that. We'll continue with this, trust me.

1385
01:30:03,600 --> 01:30:06,920
Speaker 2: This gets fishier after this on the Tony Kats Today

1386
01:30:07,040 --> 01:30:32,519
Speaker 2: Show on Mike Coolidge, We'll be right back. We're back

1387
01:30:32,920 --> 01:30:36,800
Speaker 2: on Tony Katz today. I am my Coolidge and for

1388
01:30:36,960 --> 01:30:40,120
Speaker 2: Tony Coolidge just felled with the K K O O

1389
01:30:40,240 --> 01:30:41,920
Speaker 2: L I D G E. You can find me on

1390
01:30:42,360 --> 01:30:45,840
Speaker 2: X there before the break we were talking about this

1391
01:30:46,280 --> 01:30:51,360
Speaker 2: bombshell news out of Georgia. Yes, it is bombshell. We're

1392
01:30:51,360 --> 01:30:54,960
Speaker 2: not going back, obviously, we're not saying, Okay, let's redo

1393
01:30:55,040 --> 01:30:59,840
Speaker 2: the election of twenty twenty. Here this is a call

1394
01:30:59,840 --> 01:31:06,360
Speaker 2: it public service announcement to make sure that your local

1395
01:31:06,680 --> 01:31:10,599
Speaker 2: election authorities are doing things properly and that we never

1396
01:31:11,040 --> 01:31:15,759
Speaker 2: ever conduct elections the way we did in twenty twenty

1397
01:31:16,080 --> 01:31:21,680
Speaker 2: ever again throughout the United States of America. The Constitution's

1398
01:31:21,680 --> 01:31:28,719
Speaker 2: the most brilliantly written government document ever. Nothing even comes close.

1399
01:31:29,040 --> 01:31:30,920
Speaker 2: Do you also know this is the oldest constitution in

1400
01:31:30,960 --> 01:31:33,800
Speaker 2: the world. When you know Europeans talk about America, you

1401
01:31:33,880 --> 01:31:35,840
Speaker 2: guys are old. We've been around, well, you know, for

1402
01:31:36,000 --> 01:31:38,000
Speaker 2: money longer than you. Yeah, well, how come none of

1403
01:31:38,000 --> 01:31:41,479
Speaker 2: you have a constitution older than ours. There's a reason

1404
01:31:41,520 --> 01:31:44,760
Speaker 2: that it wrote that it has lasted as long as

1405
01:31:44,800 --> 01:31:47,720
Speaker 2: it has, I should say, a constitution that you know

1406
01:31:47,840 --> 01:31:50,800
Speaker 2: is still in existence. There's countries that are older than

1407
01:31:50,800 --> 01:31:54,920
Speaker 2: the United States obviously, but every single one of their

1408
01:31:56,400 --> 01:31:59,519
Speaker 2: you know, countries documents that they go their version of

1409
01:31:59,520 --> 01:32:03,000
Speaker 2: the constantution is younger than the United States Constitution. So

1410
01:32:03,040 --> 01:32:06,799
Speaker 2: I love a constitution obviously, but it is not the Bible,

1411
01:32:07,400 --> 01:32:11,200
Speaker 2: and it needs to be. It's not in errants. It

1412
01:32:11,520 --> 01:32:16,320
Speaker 2: needs to be amended every once in a while. And

1413
01:32:17,080 --> 01:32:21,120
Speaker 2: one of my amendments would be because one of the

1414
01:32:21,160 --> 01:32:26,720
Speaker 2: things that I say maybe the Constitution could could have

1415
01:32:26,720 --> 01:32:30,320
Speaker 2: been written better about is elections. They left elections up

1416
01:32:30,320 --> 01:32:34,080
Speaker 2: to the states. That's why. And I'm a big advocate

1417
01:32:34,160 --> 01:32:37,360
Speaker 2: of her vote or should there should only be one

1418
01:32:37,400 --> 01:32:41,160
Speaker 2: election day and we should have to show ID throughout

1419
01:32:41,200 --> 01:32:46,400
Speaker 2: the country and there should be no absentee ballots except

1420
01:32:46,400 --> 01:32:51,120
Speaker 2: for overseas military and federal government workers who are working overseas.

1421
01:32:51,400 --> 01:32:54,160
Speaker 2: That's it. Everyone else is to show up in person

1422
01:32:54,600 --> 01:32:59,559
Speaker 2: vote on election day and show an ID. No early voting.

1423
01:32:59,680 --> 01:33:01,280
Speaker 2: I mean, if you really want to stretch it, or

1424
01:33:01,280 --> 01:33:03,880
Speaker 2: do you want to compromise, maybe two days of voting,

1425
01:33:04,000 --> 01:33:06,599
Speaker 2: a Monday and a Tuesday. Yes, all four it making

1426
01:33:06,680 --> 01:33:10,960
Speaker 2: it a federal holiday. And yes, the government even though

1427
01:33:11,240 --> 01:33:13,720
Speaker 2: we're all in debt up to our eyeballs or way

1428
01:33:13,720 --> 01:33:16,240
Speaker 2: past our eyeballs. What is it forty trunion yet it's

1429
01:33:16,240 --> 01:33:20,200
Speaker 2: getting closed. Government should even pay for your idea if

1430
01:33:20,240 --> 01:33:22,640
Speaker 2: you don't have one. But that's the way it should be.

1431
01:33:22,640 --> 01:33:27,479
Speaker 2: But here's the problem. The Constitution says elections are run

1432
01:33:27,479 --> 01:33:32,400
Speaker 2: by states, so you can't have unless we have an

1433
01:33:32,439 --> 01:33:37,599
Speaker 2: amendment to the Constitution that says federal elections are governed

1434
01:33:37,680 --> 01:33:43,640
Speaker 2: by federal law, like you know, President and Congress and

1435
01:33:43,760 --> 01:33:49,080
Speaker 2: US Senate. Those elections have to have ID, have to

1436
01:33:49,160 --> 01:33:52,040
Speaker 2: vote in person on election day, and there's no early voting,

1437
01:33:52,080 --> 01:33:55,599
Speaker 2: and only absentee value for overseas military or federal workers overseas.

1438
01:33:55,600 --> 01:34:00,720
Speaker 2: That's it before that amendment. Heck, I'd be for an

1439
01:34:00,720 --> 01:34:03,880
Speaker 2: amendment which over seventy five percent of the country, between

1440
01:34:03,920 --> 01:34:05,760
Speaker 2: seventy and seventy five percent of the country believes you

1441
01:34:05,800 --> 01:34:09,400
Speaker 2: should show an ID to vote. And that's all you

1442
01:34:09,520 --> 01:34:12,400
Speaker 2: need to pass an amendment to the Constitution, because you

1443
01:34:12,400 --> 01:34:14,920
Speaker 2: need two thirds of Congress and three quarters of the states.

1444
01:34:15,320 --> 01:34:18,160
Speaker 2: That's the checks. Three quarters is seventy five percent, So

1445
01:34:18,479 --> 01:34:20,920
Speaker 2: it is a feasible thing to do. But man, it

1446
01:34:20,960 --> 01:34:23,439
Speaker 2: would take a lot of work to get done to

1447
01:34:23,520 --> 01:34:26,680
Speaker 2: have the voting ID. But until that happens. That's a

1448
01:34:26,840 --> 01:34:30,439
Speaker 2: that's a very difficult task to accomplish. You have to

1449
01:34:30,560 --> 01:34:33,800
Speaker 2: petition your own states to make sure that they run

1450
01:34:33,840 --> 01:34:40,600
Speaker 2: their elections correctly. And you, as a citizen of Illinois

1451
01:34:40,680 --> 01:34:45,480
Speaker 2: or Indiana or Missouri or wherever you're listening to this, Louisiana,

1452
01:34:45,479 --> 01:34:47,719
Speaker 2: I think. I think Tony Cassaday is on a station

1453
01:34:47,800 --> 01:34:53,120
Speaker 2: in Indiana, and Louisiana could be wrong. You as a

1454
01:34:53,120 --> 01:34:57,000
Speaker 2: citizen have the ability to talk to your local county

1455
01:34:57,040 --> 01:34:59,400
Speaker 2: officials and make sure that they're doing things properly, because

1456
01:34:59,400 --> 01:35:02,920
Speaker 2: they weren't in Georgia and Fulton County, this one little

1457
01:35:02,960 --> 01:35:06,639
Speaker 2: county in George. It's not that little, but it's a county, right,

1458
01:35:07,040 --> 01:35:09,320
Speaker 2: and that one county, if they did things properly in

1459
01:35:09,360 --> 01:35:13,559
Speaker 2: twenty twenty, Trump would have won Georgia and he would

1460
01:35:13,560 --> 01:35:17,120
Speaker 2: have won the twenty twenty election. So he's in a

1461
01:35:17,120 --> 01:35:20,720
Speaker 2: federalists today. That proves that. And again, this isn't like

1462
01:35:21,080 --> 01:35:25,040
Speaker 2: the end of some long conspiracy theory string that was

1463
01:35:25,080 --> 01:35:27,559
Speaker 2: finally being pulled. This is just new news that just

1464
01:35:27,680 --> 01:35:32,679
Speaker 2: came out, all right, And this is worth talking about

1465
01:35:32,760 --> 01:35:34,800
Speaker 2: one if you're getting it into some debate with one

1466
01:35:34,800 --> 01:35:37,080
Speaker 2: of your liberal friends and they say, oh, you're not

1467
01:35:37,120 --> 01:35:40,080
Speaker 2: one of these crazy conspiracy theoriss A twenty twenty election

1468
01:35:40,200 --> 01:35:44,479
Speaker 2: was stolen, do you This is add another talking point too.

1469
01:35:44,560 --> 01:35:47,960
Speaker 2: It'll say, well, the Hunter Biden laptop story was squelched

1470
01:35:48,040 --> 01:35:51,519
Speaker 2: by the government and by the media and the people

1471
01:35:51,520 --> 01:35:53,160
Speaker 2: in the government, i should say, and the media at

1472
01:35:53,200 --> 01:35:57,760
Speaker 2: the time to squelch that. So that happened. For sure,

1473
01:35:57,920 --> 01:35:59,960
Speaker 2: Trump would have won if that story was not squelched.

1474
01:36:00,120 --> 01:36:04,240
Speaker 2: We know that from pulling afterwards and the election irregularities.

1475
01:36:04,240 --> 01:36:07,240
Speaker 2: And I'm talking about voting machines. I'm talking about election

1476
01:36:08,120 --> 01:36:11,000
Speaker 2: laws that were not followed. We know for a fact

1477
01:36:11,000 --> 01:36:13,080
Speaker 2: that they were not followed in Pennsylvania. With a lot

1478
01:36:13,080 --> 01:36:14,800
Speaker 2: of things is ballot caring and that kind of thing.

1479
01:36:14,840 --> 01:36:17,800
Speaker 2: But this is as clear cut and easy to understand

1480
01:36:17,920 --> 01:36:23,839
Speaker 2: as you can. Will continue with this federalist bombshell this week.

1481
01:36:25,120 --> 01:36:28,639
Speaker 2: Georgia law requires that election officials have each ballot scanner

1482
01:36:28,680 --> 01:36:30,840
Speaker 2: print three closing tapes at the end of each day.

1483
01:36:31,120 --> 01:36:35,040
Speaker 2: Poll workers must sign these tapes or included documented reason

1484
01:36:35,120 --> 01:36:37,840
Speaker 2: for refusal to sign the tapes. They can because it's

1485
01:36:37,880 --> 01:36:40,920
Speaker 2: multiple day law, multiple day voting, which it shouldn't be.

1486
01:36:41,000 --> 01:36:41,559
Speaker 5: But it is.

1487
01:36:43,000 --> 01:36:46,320
Speaker 2: Each day. You want to make sure that it's a zero,

1488
01:36:46,720 --> 01:36:50,080
Speaker 2: that you're not counting the votes from the previous day

1489
01:36:50,360 --> 01:36:54,679
Speaker 2: in the grand total, right everyone following, So the poll

1490
01:36:54,680 --> 01:36:58,200
Speaker 2: worker has to sign the tape, said yep I. Hereby

1491
01:36:58,360 --> 01:37:01,120
Speaker 2: declare under penalty of perjure and going to jail that

1492
01:37:01,720 --> 01:37:06,400
Speaker 2: the vote totals are back down to zero for today,

1493
01:37:06,600 --> 01:37:09,200
Speaker 2: showing that the voting machine are starting at zero. If

1494
01:37:09,200 --> 01:37:12,080
Speaker 2: there is no record of whether the tabulator was set

1495
01:37:12,160 --> 01:37:14,360
Speaker 2: at zero at the start of the polling on a

1496
01:37:14,360 --> 01:37:17,880
Speaker 2: new day, there's no way of telling whether ballots from

1497
01:37:17,880 --> 01:37:21,679
Speaker 2: a previous election or ballots from a test run were

1498
01:37:21,800 --> 01:37:25,360
Speaker 2: left on the memory card of the voting machine and

1499
01:37:25,479 --> 01:37:30,479
Speaker 2: might later be counted. Notably, this happened in Montana, where

1500
01:37:30,479 --> 01:37:34,280
Speaker 2: officials discovered more votes than were cast and believe the

1501
01:37:34,360 --> 01:37:37,960
Speaker 2: votes were left over sample data that had not been cleared. Now,

1502
01:37:38,040 --> 01:37:39,960
Speaker 2: no one talked about that because Montana is a super

1503
01:37:40,000 --> 01:37:43,320
Speaker 2: red state and went to Trump and it didn't make

1504
01:37:43,320 --> 01:37:48,080
Speaker 2: any difference in the electoral college total. But it still

1505
01:37:48,160 --> 01:37:53,800
Speaker 2: happened there and that should still alarm people. Yes, in Montana, Like,

1506
01:37:54,040 --> 01:37:57,680
Speaker 2: just because it didn't affect the election shouldn't mean that

1507
01:37:57,800 --> 01:38:01,800
Speaker 2: you don't care about it. Your local officials work for you.

1508
01:38:02,320 --> 01:38:05,400
Speaker 2: If they're not doing things according to the law and

1509
01:38:05,520 --> 01:38:11,400
Speaker 2: the rules, that should be held accountable. These tapes are

1510
01:38:11,439 --> 01:38:15,440
Speaker 2: the sole legal certification that the reported totals are authentic.

1511
01:38:17,880 --> 01:38:21,759
Speaker 2: Cross told the SEB at the December ninth hearing Fulton

1512
01:38:21,800 --> 01:38:32,679
Speaker 2: County produced zero signed tabulator tapes in early voting. Cross

1513
01:38:32,720 --> 01:38:37,519
Speaker 2: stated that he obtained seventy seven megabytes of data. And yes,

1514
01:38:37,680 --> 01:38:40,240
Speaker 2: you're wondering who Crosses. This is the guy who filed

1515
01:38:40,400 --> 01:38:45,920
Speaker 2: the lawsuit. He's a local election integrity activist. He filed

1516
01:38:45,960 --> 01:38:49,160
Speaker 2: a lawsuit and this is what this all brought up,

1517
01:38:49,760 --> 01:38:53,800
Speaker 2: and or this is what this was all discovered. He

1518
01:38:53,840 --> 01:38:58,960
Speaker 2: obtained seventy seven megabytes of election records from Fulton County

1519
01:38:59,439 --> 01:39:02,759
Speaker 2: through an open Record's request that cost fifteen thousand dollars.

1520
01:39:03,400 --> 01:39:05,960
Speaker 2: According to Cross, these included one hundred and thirty four

1521
01:39:06,360 --> 01:39:11,360
Speaker 2: tabulator tapes representing three hundred and fifteen thousand votes. Each

1522
01:39:11,800 --> 01:39:17,400
Speaker 2: signature block on these tapes was blank, meaning that nobody

1523
01:39:17,439 --> 01:39:19,160
Speaker 2: signed them at the beginning of the day, to show

1524
01:39:19,160 --> 01:39:21,880
Speaker 2: that there were no votes already from the previous day

1525
01:39:21,960 --> 01:39:25,559
Speaker 2: or from a testron. Cross also highlighted additional irregularities such

1526
01:39:25,560 --> 01:39:29,680
Speaker 2: as polling locations being open at impossibly late hours like

1527
01:39:29,800 --> 01:39:33,720
Speaker 2: two oh nine am in Fulton County. He also said

1528
01:39:33,720 --> 01:39:37,080
Speaker 2: that he found duplicated scanner serial numbers where the memory

1529
01:39:37,080 --> 01:39:40,120
Speaker 2: devices were removed from one scanner and printed on an

1530
01:39:40,160 --> 01:39:45,440
Speaker 2: alternate scanner. These are not clerical errors, these are catastrophic

1531
01:39:45,600 --> 01:39:52,040
Speaker 2: breaks in chain of custody and certification. Cross said because

1532
01:39:52,080 --> 01:39:54,680
Speaker 2: note tape was ever legally certified, Fulton County had no

1533
01:39:54,760 --> 01:39:58,720
Speaker 2: lawful authority to certify its advanced voting results at up

1534
01:39:58,760 --> 01:40:02,320
Speaker 2: to the Secretary of State, Yet it did. It did

1535
01:40:02,360 --> 01:40:07,439
Speaker 2: certify him. Secretary Rafus Perger, who was apparently running for

1536
01:40:07,520 --> 01:40:12,719
Speaker 2: governor of Georgia. Now we're a republican quote unquote, accepted

1537
01:40:12,760 --> 01:40:16,960
Speaker 2: and folded these uncertified numbers into Jordi, Georgia's official total

1538
01:40:17,160 --> 01:40:21,360
Speaker 2: without questioning them. This is not partisan, This is statuary.

1539
01:40:21,640 --> 01:40:25,080
Speaker 2: This is the law. When the law demands three signatures

1540
01:40:25,160 --> 01:40:28,479
Speaker 2: on tabulator tapes and the county fails fails to follow

1541
01:40:28,520 --> 01:40:31,920
Speaker 2: the rules, those three hundred and fifteen thousand votes are

1542
01:40:32,320 --> 01:40:40,040
Speaker 2: by definition uncertified. Kevin mankla An Intection, an election integrity

1543
01:40:40,080 --> 01:40:43,640
Speaker 2: activist who has been at the forefront of these challenges,

1544
01:40:44,000 --> 01:40:46,880
Speaker 2: estimates the number is likely higher than three hundred and

1545
01:40:46,880 --> 01:40:50,760
Speaker 2: fifteen thousand. The man who filed this lawsuit cross as

1546
01:40:50,800 --> 01:40:54,519
Speaker 2: asking the state Election for to impose sanctions on Fulton County,

1547
01:40:54,800 --> 01:40:58,639
Speaker 2: have them publicly acknowledge their violations, and for the state

1548
01:40:58,720 --> 01:41:03,800
Speaker 2: to decertify Forlton County's twenty twenty advanced voting results. It's

1549
01:41:04,040 --> 01:41:06,200
Speaker 2: not to change who sits in the White House or

1550
01:41:06,200 --> 01:41:09,719
Speaker 2: what the score was, because that's too late, but instead

1551
01:41:11,120 --> 01:41:14,920
Speaker 2: to place an indelible and permanent asterisk on the record

1552
01:41:15,000 --> 01:41:20,920
Speaker 2: and finally force accountability. Brianna Lyman is a woman in

1553
01:41:20,960 --> 01:41:23,960
Speaker 2: the Federalists who wrote this. The Federalists inquired with the

1554
01:41:24,000 --> 01:41:28,200
Speaker 2: Georgia Secretary of State's office as to who was responsible

1555
01:41:28,360 --> 01:41:32,600
Speaker 2: for accepting Fulton County's tabulator tapes despite there being no

1556
01:41:32,680 --> 01:41:35,960
Speaker 2: signatures at all. The office did not return or request

1557
01:41:36,040 --> 01:41:42,200
Speaker 2: for comment at the time of publication. Surprise, surprise. This

1558
01:41:43,280 --> 01:41:46,479
Speaker 2: is why people say you get the government you deserve.

1559
01:41:47,880 --> 01:41:52,320
Speaker 2: That's what all this is about. Really, the government messes up,

1560
01:41:52,439 --> 01:41:58,200
Speaker 2: it screws up, it does terrible things, and people don't

1561
01:41:58,200 --> 01:42:01,040
Speaker 2: pay attention. That's all right, Well, well, it's kind of

1562
01:42:01,040 --> 01:42:04,880
Speaker 2: moot now right. I mean, we're all happy President Trump

1563
01:42:04,920 --> 01:42:07,160
Speaker 2: is president. Now. He gets to be president during the

1564
01:42:07,560 --> 01:42:10,400
Speaker 2: two hundred fiftieth anniversary of the country. He gets to

1565
01:42:10,439 --> 01:42:16,240
Speaker 2: be president for the World Cup and the Olympics. You know,

1566
01:42:16,800 --> 01:42:19,880
Speaker 2: he's meant to be president right now. All that's true.

1567
01:42:20,240 --> 01:42:24,960
Speaker 2: But if the people who mess this up don't face accountability,

1568
01:42:25,640 --> 01:42:29,519
Speaker 2: mark my words, it is going to happen again, maybe

1569
01:42:29,640 --> 01:42:32,519
Speaker 2: in the county you live in. We'll be right back

1570
01:42:32,560 --> 01:42:36,040
Speaker 2: on Tony Katz today. I am Mike Coolidge in for Tony.

1571
01:42:36,280 --> 01:42:39,240
Speaker 2: Stay with us. We're back on the Michael Coolidge Show.

1572
01:42:40,120 --> 01:42:45,559
Speaker 2: I never was a DJ. Never, never spun records though occasionally,

1573
01:42:45,560 --> 01:42:49,759
Speaker 2: and I'm sure Tony Katz gets this, gets this question

1574
01:42:49,880 --> 01:42:53,120
Speaker 2: sometimes when people say, oh, aren't you DJ. No, not

1575
01:42:53,160 --> 01:42:57,639
Speaker 2: a DJ, only a talk show host. But I love

1576
01:42:57,920 --> 01:43:01,960
Speaker 2: commenting on the awesome that we keep hearing in the

1577
01:43:02,040 --> 01:43:07,320
Speaker 2: breakstats Joan Jet doing the Little Drummer Boy her version

1578
01:43:07,439 --> 01:43:10,400
Speaker 2: of it from like forty years ago, but really good version.

1579
01:43:10,600 --> 01:43:12,920
Speaker 2: We're back on Tony Kats today, Mike Coolich in for

1580
01:43:13,240 --> 01:43:18,519
Speaker 2: Tony Kats. The final segment, there were two moments I

1581
01:43:18,560 --> 01:43:23,120
Speaker 2: think that changed everything in the last five years, as

1582
01:43:23,120 --> 01:43:27,400
Speaker 2: far as I want to say, guaranteed Donald Trump becoming

1583
01:43:27,439 --> 01:43:35,280
Speaker 2: president again, but definitely were the key moments. The first

1584
01:43:35,280 --> 01:43:40,360
Speaker 2: one I would say was even bigger, an even bigger

1585
01:43:40,400 --> 01:43:43,960
Speaker 2: deal than Donald Trump winning. I said, this literally changed

1586
01:43:43,960 --> 01:43:48,120
Speaker 2: the course of human history. And that is Elon Musk

1587
01:43:48,320 --> 01:43:54,600
Speaker 2: buying Twitter and changing it into x. He single handedly

1588
01:43:55,120 --> 01:44:01,040
Speaker 2: saved freedom of speech in the world. Really, but specifically

1589
01:44:01,080 --> 01:44:03,920
Speaker 2: and especially in the United States of America. There will

1590
01:44:03,920 --> 01:44:08,679
Speaker 2: be times, you know, you'll tell your grandkids or grand

1591
01:44:08,760 --> 01:44:14,960
Speaker 2: nieces and nephews if about a time where for a

1592
01:44:15,000 --> 01:44:18,000
Speaker 2: couple of years in the United States you couldn't say

1593
01:44:18,040 --> 01:44:23,559
Speaker 2: things publicly on the Internet without it being taken down

1594
01:44:24,360 --> 01:44:27,720
Speaker 2: and you could get in trouble for it. And in

1595
01:44:27,800 --> 01:44:32,439
Speaker 2: Great Britain and in other countries in Europe they're sending

1596
01:44:32,479 --> 01:44:36,439
Speaker 2: people to jail for things they post on x or

1597
01:44:36,479 --> 01:44:42,680
Speaker 2: on Twitter, and innocuous things like complaining about rape. You

1598
01:44:42,680 --> 01:44:46,519
Speaker 2: can go to jail for in Great Britain, but the

1599
01:44:46,560 --> 01:44:52,400
Speaker 2: people actually committing the rape face less penalties than the

1600
01:44:52,400 --> 01:44:55,599
Speaker 2: people who are commenting on an online It's absolutely insane. Anyway,

1601
01:44:55,680 --> 01:44:58,479
Speaker 2: Thankfully we have the First Amendment here in the United States.

1602
01:44:58,560 --> 01:45:04,000
Speaker 2: It's being respected than protected by our federal government. But

1603
01:45:04,120 --> 01:45:07,240
Speaker 2: the other thing, it wasn't just so that was an

1604
01:45:07,320 --> 01:45:10,479
Speaker 2: absolutely key moment, and it helped the freedom of speech

1605
01:45:10,520 --> 01:45:13,479
Speaker 2: will have the express to get President Trump back in

1606
01:45:13,520 --> 01:45:15,800
Speaker 2: the White House. The other thing was the raid on

1607
01:45:15,960 --> 01:45:19,440
Speaker 2: Moral Lago, on mar A Lago by the Biden administration.

1608
01:45:19,960 --> 01:45:24,920
Speaker 2: There's FBI. There's new emails out this week that show

1609
01:45:25,280 --> 01:45:30,759
Speaker 2: that the FBI was pressured by the Biden Justice Department.

1610
01:45:30,800 --> 01:45:33,040
Speaker 2: I'm not the biggest fan of Christopher Ray at all.

1611
01:45:33,080 --> 01:45:36,519
Speaker 2: He was the FBI head at the time, but he

1612
01:45:37,720 --> 01:45:42,800
Speaker 2: looks kind of better here than people give him credit for,

1613
01:45:42,920 --> 01:45:45,240
Speaker 2: because he was actually standing up to the Biden administration.

1614
01:45:45,640 --> 01:45:48,360
Speaker 2: Because the Kims Trestle and the Wall Street Journal winn't

1615
01:45:48,360 --> 01:45:49,560
Speaker 2: have time to read it, but I encourage you to

1616
01:45:49,600 --> 01:45:50,840
Speaker 2: read it if you were a subscribed to the Wall

1617
01:45:50,840 --> 01:45:55,439
Speaker 2: Street Journal. There's emails that prove this week that the

1618
01:45:55,560 --> 01:45:58,320
Speaker 2: FBI said, we don't have enough to raid a former

1619
01:45:58,360 --> 01:46:02,360
Speaker 2: president of the United States home for quote unquote classified

1620
01:46:02,520 --> 01:46:05,400
Speaker 2: documents that he might have, Like, we don't have the

1621
01:46:05,960 --> 01:46:09,360
Speaker 2: authority to do that, And the Biden administration said back,

1622
01:46:09,400 --> 01:46:14,879
Speaker 2: I'm paraphrasing, too bad, do it anyway? That changed everything

1623
01:46:14,920 --> 01:46:19,040
Speaker 2: when we saw that a former president didn't have the

1624
01:46:19,320 --> 01:46:24,280
Speaker 2: respect from the current president and current candidate to not

1625
01:46:24,360 --> 01:46:29,280
Speaker 2: have his home rated. People said that is a bridge

1626
01:46:29,280 --> 01:46:30,840
Speaker 2: too far. We're voting for Trump and we're putting it

1627
01:46:30,840 --> 01:46:33,200
Speaker 2: back to the White House. This is Tony Casterday and

1628
01:46:33,240 --> 01:46:34,360
Speaker 2: my cool jeverorvery weekend