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Speaker 1: Ahead on American Sunrise Early Edition. The video has now

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Speaker 1: been released of a Ukrainian refugee just looking to live

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Speaker 1: safely here in the US being murdered in complete cold

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Speaker 1: blood on a commuter train in North Carolina. This happened

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Speaker 1: in August, but it was suppressed and now politicians are

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Speaker 1: sort of talking about it. We'll talk about it here.

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Speaker 1: Hundreds of South Korean Hyundai plant workers here in America

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Speaker 1: illegally have learned their fate. But will the foreign corporations

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Speaker 1: setting up operations in the US learn their lesson? Speaking

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Speaker 1: of illegal aliens, the city of Chicago is reportedly bracing

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Speaker 1: for a big ice raid. But who was worried exactly?

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Speaker 1: And if it's just the illegal aliens, why is that bad?

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Speaker 1: Mayor Johnson and Governor Pritzker. Russia hits Ukraine with another

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Speaker 1: significant drone strike right in Kiev. Will President Trump respond

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Speaker 1: with new sanctions? And this woman became just about the

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Speaker 1: most unpopular person in America over the weekend. But is

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Speaker 1: she just a one off case or is she indicative?

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Speaker 1: Or she is in her hoodie? Is she indicative of

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Speaker 1: a growing national problem? American Sunrise Early Edition begins.

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Speaker 2: Now, Welcome to American Sunrise Early Edition. The show we're faith,

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Speaker 2: freedom and the values that built this nation takes centers.

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Speaker 3: To your good deeds and bad deeds. That's how we're

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Speaker 3: gonna judge you.

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Speaker 2: Join host Jake Novak because he breaks down the stories

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Speaker 2: that matter.

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Speaker 1: He will be letting the public know regularly what we

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Speaker 1: have found.

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Speaker 2: American Sunrise Early Edition with your host Jake Novak, starts now.

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Speaker 1: I am Jake Novak. Welcome to American Sunrise Early Edition.

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Speaker 1: Getting started with the new week here on a Monday,

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Speaker 1: and a lot of news over the weekend, including some

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Speaker 1: breaking news. Just in the last couple of hours. There

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Speaker 1: was a terrorist bus attack against people in a Jerusalem

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Speaker 1: bus in Israel, and that those shooters did apparently kill

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Speaker 1: four people, but it would have been much worse. You

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Speaker 1: know what I'm about to say. An armed young student,

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Speaker 1: a young Yeshiva student who was just trained and given

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Speaker 1: his gun license a year ago, helped neutralize at least

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Speaker 1: one of the attackers, one of the terrorists. So that's

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Speaker 1: a breaking story out this morning. Ambassador Mike Huckabee already

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Speaker 1: talking about it on social media, so I'm following that

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Speaker 1: for you. But we have a lot of other things

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Speaker 1: going on over the weekend. Joining me now to help

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Speaker 1: me with all of it is Daily Signal columnist Jared

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Speaker 1: Stepman And Jared, this is actually a story, and people

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Speaker 1: might be wondering, why are we talking about a murder

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Speaker 1: that actually happened last month. Well, because the story we're

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Speaker 1: about to tell you a Ukrainian refugee, twenty three year

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Speaker 1: old woman Irina Zaruska, was on a commuter light rail

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Speaker 1: train in Charlotte and murdered. We really hadn't heard about

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Speaker 1: this story. There was no real talk about it pretty much,

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Speaker 1: but the surveillance video came out of this horrific murder.

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Speaker 1: The politicians, including the mayor of Charlotte, and I'll talk

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Speaker 1: about that in a second after I get your first response,

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Speaker 1: finally had to comment about it, and Jared, of course,

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Speaker 1: this comes as the discussion about crime in our cities,

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Speaker 1: crimes on our streets and on our public transportation, is

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Speaker 1: so much at the forefront of this country because of

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Speaker 1: what President Trump is doing in Washington, d C. What

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Speaker 1: he's apparently planning on doing in Chicago. Jarrett, we can't

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Speaker 1: get the truth about crime in this country if the

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Speaker 1: mainstream media is going to continue to suppress stories like

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Speaker 1: this when the perpetrators aren't who they want the perpetrators

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Speaker 1: to be. In other words, if it isn't a white male,

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Speaker 1: preferably a Trump supporter, they're not interested in covering crime. Well,

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Speaker 1: most crimes are not committed by white male Trump supporters,

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Speaker 1: So I guess they're not going to tell us about crime, are.

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Speaker 3: They, jarret Yeah, absolutely not.

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Speaker 4: And I think that a big reason why they don't

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Speaker 4: like the stories because it fits very much the warnings

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Speaker 4: about the problem with crime in America, which most crime

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Speaker 4: in America, especially if filent crime, is committed by a

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Speaker 4: small number of individuals, who oftentimes.

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Speaker 3: Have a very, very long rap sheet.

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Speaker 4: Like this individual did. He's been in and out of

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Speaker 4: jail since he was under age through his twenties. This

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Speaker 4: is a man who had just been arrested the previous month.

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Speaker 4: Very clearly, this is an individual who was not being

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Speaker 4: reformed by.

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Speaker 3: The system, and yet he was out on the street out.

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Speaker 4: Maybe he was mentally ill, maybe he was simply evil,

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Speaker 4: but the fact is the reality is he should not

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Speaker 4: have been with the general population, and because of that,

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Speaker 4: an innocent person is dead. And I think that it

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Speaker 4: sparks a national conversation about crime and how this has

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Speaker 4: become a major problem perpetrated by again a small number

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Speaker 4: of people who have not been dealt with who should

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Speaker 4: be being dealt with by the criminal justice system.

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Speaker 3: Instead they're out in our streets.

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Speaker 1: Yeah, and we can have the conversation if most of

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Speaker 1: the news media, which still sadly is watched by about

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Speaker 1: half the country, isn't reporting on it at all. And

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Speaker 1: these people, it's like talking to people in an alternate reaction.

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Speaker 1: They just don't see these stories. Survey after survey has

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Speaker 1: been done. And the people who watch what some people

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Speaker 1: might call alternative news media, right wing news media, I like,

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Speaker 1: just just call it an honest news media. That's what

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Speaker 1: we're doing on this program. Are almost always more informed,

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Speaker 1: Like we know all the stories that the left's talking about,

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Speaker 1: but we also know our stories. They don't know our stories,

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Speaker 1: and this shouldn't be our story. This is everyone's story.

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Speaker 1: So that's one aspect of it. But it's also the

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Speaker 1: politicians and Jared I don't think the politicians literally want

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Speaker 1: to fight crime. It's almost like its combination of laziness

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Speaker 1: and an anti American sentiment among them. Because the mayor

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Speaker 1: of Charlotte finally did speak out about this on Saturday.

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Speaker 1: Her name is Vi Miles, and she said, first of all,

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Speaker 1: she made no condolence statement to the family of the victim, unbelievably.

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Speaker 1: And then she said, by the way, this whole story

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Speaker 1: proves that we can't arrest ourselves out of issues. You

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Speaker 1: can arrest yourself out of an issue. If you also

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Speaker 1: convict the person you arrest and put them in jail

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Speaker 1: for lengthy jail times for violent crime, you should spend

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Speaker 1: a long time behind bars, simply put. And he never did,

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Speaker 1: did he?

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Speaker 3: No?

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Speaker 4: He did, in fact that the way the mayor talked

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Speaker 4: about this issue in general, the statement she put out

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Speaker 4: that this was heartbreaking, and frankly, I was enraged when

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Speaker 4: I saw this.

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Speaker 5: This.

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Speaker 4: I didn't see this as a tragedy like somebody getting

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Speaker 4: hit by a bus. This was something that's enraging. This

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Speaker 4: is a deep injustice. These are the kind of injustices

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Speaker 4: that our leaders and politicians should be looking to stop.

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Speaker 3: I think.

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Speaker 4: Unfortunately, there's now a massive industry built up around criminal

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Speaker 4: justice reform that has unfortunately just turned into a large

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Speaker 4: jail break in this country. And now you have a

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Speaker 4: lot of big cities around America, and not just big cities,

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Speaker 4: a lot of smaller cities too, in which there are

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Speaker 4: a lot of bad people who should never have been

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Speaker 4: on the streets. Look, I've been on the subway, I've

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Speaker 4: been on the metro. I've been in situations where I've

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Speaker 4: been nervous about people who are acting bizarrely. Yes, in

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Speaker 4: many cases they don't commit murder, but in some cases

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Speaker 4: they do, like this one. It's a situation a lot

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Speaker 4: of people have felt their own personal fear. It's why politicians,

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Speaker 4: I don't think, can hide from this crime issues. So

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Speaker 4: a lot of Americans have seen this. They're fed up,

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Speaker 4: and this video just doubles down that. It makes us

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Speaker 4: a rage because this is something that could have happened

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Speaker 4: in our city.

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Speaker 1: Yeah, and by the way, we've seen this before. It

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Speaker 1: started in the late nineteen fifties, early sixties. At least

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Speaker 1: I can tell you what happened here in New York City.

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Speaker 1: And let me tell you what the next step is, Jared.

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Speaker 1: The next step is that the mainstream news media and

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Speaker 1: the establishment politicians will start to blame people like you

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Speaker 1: and me and basically say we don't care about crime,

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Speaker 1: and that's why it's too hard for them to fight it.

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Speaker 1: That's what led to one of the biggest lies in

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Speaker 1: American history, the Kitty Genevesi murder in nineteen sixty five

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Speaker 1: in New York City, when The New York Times ran

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Speaker 1: a story about how no one went to help her

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Speaker 1: and everyone just closed their windows. Not true. People did

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Speaker 1: run to help her. It was a lie, and the

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Speaker 1: reporter who reported it towards his death, almost before he died,

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Speaker 1: talked about how that he lied about it. Jared, Let's

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Speaker 1: talk about another story that the mainstream media is not

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Speaker 1: covering very much, just a little bit, and that is

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Speaker 1: what happened at that Hyundai battery plant in Georgia last week.

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Speaker 1: An ice raid netted about four hundred illegal aliens working there. Listen, Jarrett,

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Speaker 1: we love to have the foreign investment in this country.

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Speaker 1: If they're going to respond to Taris by setting up

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Speaker 1: plants here to sell us the products that we're buying

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Speaker 1: and propping up their companies, that's fine. But if they're

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Speaker 1: going to bring in hundreds of their own employees, that's

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Speaker 1: not so fine. That means they're not really making American jobs.

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Speaker 1: But at least at least, Jared, if you're going to

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Speaker 1: bring in hundreds of your own people for imported labor,

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Speaker 1: at least get their paperwork right. Apparently hundreds of these

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Speaker 1: workers were completely illegal and they're not even bothering to

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Speaker 1: do that. Do you think that some of these foreign

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Speaker 1: companies are going to learn their lesson now that they

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Speaker 1: can't go to scam us in this way?

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Speaker 3: Yeah, I really hope they are.

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Speaker 4: It's hard to believe that a multi billion dollar corporation

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Speaker 4: like Hyundai would have made this mistake with all these

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Speaker 4: people and they were stuffing them into a very tiny

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Speaker 4: housing facilities. Frankly, it does seem like it was very

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Speaker 4: intentional on that part. They've gotten away with this. I

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Speaker 4: wonder how many other companies have gotten away with this

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Speaker 4: as well. It sounds like there are people in the

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Speaker 4: local communityunderstood that something was happening here and back on Hyundai,

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Speaker 4: and it's very unfortunate. I mean, this is a company

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Speaker 4: that certainly the United States would like to work with.

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Speaker 4: The South Korea has been is going to be a

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Speaker 4: major help in rebooting the US shipbuilding program, but this

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Speaker 4: is not the way to do it, and this is frankly,

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Speaker 4: it hurts relations between the companies the countries, and President Trump,

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Speaker 4: I think you said on true socials said, look, I mean,

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Speaker 4: we welcome this into our country, but you have to

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Speaker 4: do this legally. We have to be hiring American workers,

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Speaker 4: training American workers. This is why we're doing these projects.

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Speaker 4: Hyundai didn't follow that, and I think the story will serve,

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Speaker 4: I hope, as an example to the other companies maybe

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Speaker 4: that have been doing things shady and illegally and undermining

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Speaker 4: our immigration laws, because that's what this is about.

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Speaker 1: Yeah, I mean, you want to bring in some of

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Speaker 1: your homegrown managers or some of the people who really

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Speaker 1: know how to use the machinery. If that's the situation,

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Speaker 1: I get it. But again, first of all, make sure

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Speaker 1: they're here legally. And you can't claim that you're doing

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Speaker 1: something for the American economy and bringing in jobs if

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Speaker 1: you're literally just going to bring in which and god

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Speaker 1: knows what those people were getting paid for all I know,

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Speaker 1: they were getting paid less sententimum wage. As you said,

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Speaker 1: they were being shoved into small housing facilities. This is

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Speaker 1: not the kind of thing we would want, even if

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Speaker 1: it weren't about American jobs. We wouldn't want a bunch

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Speaker 1: of underpaid people coming in and living in god knows

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Speaker 1: what kind of conditions. It's really not what we're looking for.

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Speaker 1: It's just amazing how these companies will go that far

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Speaker 1: out of their way simply not to hire Americans. It's

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Speaker 1: just really unfortunate. Finally, Jared, you have a new piece

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Speaker 1: out in the Daily Signal about how so called national

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Speaker 1: conservatism has changed the right in America. Can you tell

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Speaker 1: us a little bit more about what that's all about.

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Speaker 4: Yeah, this comes from I just attended the National Conservatism

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Speaker 4: Conference over the last week, which was an excellent conference.

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Speaker 4: I think it really changed the mindset of how a

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Speaker 4: lot of conservatives think about politics, being more engaged and

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Speaker 4: going after especially institutions that the left has controlled. And

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Speaker 4: I think that has been one of the biggest message

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Speaker 4: of this conference is to not simply surrender these institutions.

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Speaker 4: The left has made its long march through history. The

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Speaker 4: right needs to think institutionally, and I think it has done,

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Speaker 4: especially in terms of higher education America, instead of continuing

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Speaker 4: the gravy train and funding these institutions, pulling that support

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Speaker 4: and we've seen that under President Donald Trump, something that

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Speaker 4: no Republican has done in the past. Now we're actually

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Speaker 4: seeing that and I think that is one of the

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Speaker 4: reasons why the left right now is on the run

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Speaker 4: because these institutions that they control, that they've used to

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Speaker 4: control American society, they've controlled American media, are no longer

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Speaker 4: do their bidding because they're losing their funding, they're losing

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Speaker 4: their power. And so I think that change has been

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Speaker 4: a very positive one on the right, and I think

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Speaker 4: it's led to a lot of successes, certainly of this administration.

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Speaker 4: Of course President Donald Trump, who wants to do things differently,

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Speaker 4: and he certainly has in his second term.

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Speaker 1: Yeah, no sacred cows, especially if they've already been tainted

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Speaker 1: by leftist activism. I'd love to leave the politics out

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Speaker 1: of the universities. I'd love to leave it out of entertainment,

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Speaker 1: but the left has politicized it for so long that

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Speaker 1: it needs to be fumigated or at least put back

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Speaker 1: on a level playing field, and people need to understand

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Speaker 1: no sacred cows. And I hope that that continues to

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Speaker 1: be again politely and peacefully, but I hope that continues

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Speaker 1: to be a focus of national conservatism. Jared Steptman from

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Speaker 1: The Daily Signal, thank you so much for joining us.

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Speaker 1: Thank you and have a great week.

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Speaker 3: Thank you very much. Appreciate Jake okay On.

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Speaker 1: She's just about the most hated person in America right now.

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Speaker 1: After all, she went after a dad who grabbed a

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Speaker 1: home run ball for his kid at a ballgame. Didn't

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Speaker 1: grab it out of someone's hands, it was on the

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Speaker 1: ground anyway. Is she just one of a kind or

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Speaker 1: part of a new breed of spoiled, preachy and whiny Americans?

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Speaker 1: Emily Finn and I will discuss, but an American Sunrise Early

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Speaker 1: edition comes right back. Well, that's a beautiful morning in Baltimore, Maryland.

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Speaker 1: But the people in Baltimore are definitely not having a

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Speaker 1: beautiful morning after that stunning loss last night by the

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Speaker 1: Baltimore Ravens. They had that game completely under their control,

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Speaker 1: and somehow the Buffalo Bills beat them. That game was

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Speaker 1: played in Buffalo. But I think the water you're seeing

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Speaker 1: in the foreground of that shot of the tears of

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Speaker 1: the people of Baltimore. Hih, I'm Jake Novak. Welcome back

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Speaker 1: to American Sunrise Early Edition. Again. Thank you so much

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Speaker 1: for the folks watching us on all the different media platforms,

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Speaker 1: on Rumble, on x, all those great platforms on Substack

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Speaker 1: by the way, as well live on substack these days. Hey,

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Speaker 1: there was a lot of sports as we I just

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Speaker 1: told you about one of the games, one of the

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Speaker 1: stunning games. But I think that the one highlight or

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Speaker 1: low light from an American sports game this weekend was this.

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Speaker 1: This has to be the moment that made the most impact.

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Speaker 1: It was an incident at a Phillies game Friday night. Now,

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Speaker 1: for those of you who have been to baseball games

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Speaker 1: and don't live under a rock, when a ball is

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Speaker 1: sitting too the stands, it's fair game. It's on the ground,

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Speaker 1: it's on a chair. You grab it. You know, you're

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Speaker 1: not supposed to grab it out of someone else's hands.

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Speaker 1: I force it out of their hands. But that's not

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Speaker 1: what happened.

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Speaker 3: Here.

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Speaker 1: A dad got the ball. Yes, it landed in front

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Speaker 1: of somebody else, but he grabbed it and he gave

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Speaker 1: it to his son, and then this woman walks over

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Speaker 1: to him and berates him. About taking the ball. I

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Speaker 1: don't know I this woman had ever been to a

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Speaker 1: baseball gamer, and I know she's wearing a Phillies jersey,

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Speaker 1: but apparently she doesn't understand the rules and she guilted

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Speaker 1: him into giving him her the ball away from his

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Speaker 1: young son. Now, the Phillies made things right, and also

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Speaker 1: the visiting team, the Marlins, they all gave the boy

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Speaker 1: balls and other souvenirs, so that's really nice for him.

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Speaker 1: But this got everyone talking on the internet starting on

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Speaker 1: Saturday morning all the way through the weekend. Emily Finn

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Speaker 1: joins me right now, Real America's Voice contributor, Emily, here's

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Speaker 1: my question is this Is this woman one of a

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Speaker 1: kind or is there does she represent a certain breed

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Speaker 1: in this country? Right now as they say the word Karens, yes,

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Speaker 1: and they are they multiplying since COVID and things like that.

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Speaker 6: Well, I think she has just been crowned Queen of

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Speaker 6: the Karens after this incident at the baseball game. I mean,

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Speaker 6: how ridiculous, the haircut, the glasses, the pointing in the

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Speaker 6: other direction. This is not the first time that this

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Speaker 6: woman has done something like this. You know, she's pulled

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Speaker 6: this at her own kids baseball game before, you know,

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Speaker 6: online with a robot on customer service and censor food

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Speaker 6: back to a restaurant. This is that breed. This is

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Speaker 6: a Karen. You know, everyone was given this dad such

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Speaker 6: a hard time for, you know, giving in to the

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Speaker 6: Karen and actually giving her the baseball. But what was

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Speaker 6: he supposed to do. I would have done the same thing,

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Speaker 6: just like wanted to enjoy the game with my kid.

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Speaker 6: But you know, the internet, I guess that was the

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Speaker 6: karma that this woman needed. You know, they definitely, I

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Speaker 6: di'd heard they tried to, you know, be rate her online.

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Speaker 6: So that's what you get when you try to take

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Speaker 6: away such a beautiful moment from a kid. I mean,

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Speaker 6: I remember growing up going to the Detroit Tigers games.

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Speaker 6: That was always the dream to catch a ball at

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Speaker 6: a game. And so I don't know, I think this

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Speaker 6: kid has a lot of people have been sending him

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Speaker 6: presents and giving him a lot of positive recognition. So

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Speaker 6: I think that definitely learned his lesson to not be

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Speaker 6: a Karen one day.

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Speaker 1: Yeah yeah, and you know sometimes you know again they're

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Speaker 1: kind of beating up a little bit on the dad

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Speaker 1: too for giving in. But you know, when you're especially

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Speaker 1: in Philadelphia, when you're in the stands at a ballgame.

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Speaker 1: One of the things, sadly that really kind of lays

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Speaker 1: down the law is is kind of the threat of violence.

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Speaker 1: And this guy was a guy, and that was a woman.

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Speaker 1: I would never even hint at the threat of violence

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Speaker 1: if no matter how annoying the woman was being, unless

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Speaker 1: she had a weapon. So I really don't know if

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Speaker 1: the dad is at fault here. I think most people

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Speaker 1: are kind of seeing that this is this woman. Apparently

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Speaker 1: she's a school administrator. For people who work in school administration,

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Speaker 1: they're not surprised. I met a bunch of people tell

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Speaker 1: me who are teachers or are people who have worked

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Speaker 1: with score administrators. Again, I don't mean to paint it

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Speaker 1: with the broad brush, but there's just something wrong when

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Speaker 1: somebody like this can do this publicly and have no shame. Again,

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Speaker 1: it wasn't in her hands, it wasn't in the hands

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Speaker 1: of someone else. It was on the ground. And yes,

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Speaker 1: maybe at lands, it's not how it works. I don't Again,

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Speaker 1: I don't know if this person has ever been to

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Speaker 1: a ballgame, but that's not how it works. Emily, did

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Speaker 1: you ever end up catching a ball at at Tigers.

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Speaker 1: I once went to batting practice at the old Tiger

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Speaker 1: Stadium just so I could get a ball. I didn't

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Speaker 1: get one, but it was kind of cool.

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Speaker 6: I'm batting practice. I'm sure that was cool. No, never

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Speaker 6: did get to catch a ball. But I did hit

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Speaker 6: a home run once when I was in fourth grade.

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Speaker 6: My dad was the first base coach, and I just

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Speaker 6: remember jogging down to first you know, like, didn't really

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Speaker 6: take sports that seriously, and he was like, no, let's go,

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Speaker 6: let's run. So that was my I don't know my

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Speaker 6: claim to baseball fame. I did hit a home run once,

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Speaker 6: but man, I guess that this Karen probably would have

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Speaker 6: ran out to the outfield and grabbed the ball and said, no,

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Speaker 6: it's mine. Just a sad situation. And I think the

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Speaker 6: you know, the shame that she is getting on the

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Speaker 6: internet right now is definitely justified. I mean, once you

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Speaker 6: look at this video back again, this dad is so

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Speaker 6: proud to be giving the ball to his son, and

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Speaker 6: she taps him on the shoulder just to completely ruin

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Speaker 6: the moment. Definitely deserve some shame for the way that

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Speaker 6: she behaved.

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Speaker 1: Yeah, don't be like that woman, And I want an

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Speaker 1: autograph of that ball that she hit for home run.

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Speaker 7: Emily.

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Speaker 1: All right, Emily, thank you so much for joining us.

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Speaker 1: We'll see in the nine to ten am hours. Thank you.

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Speaker 6: Thanks Jake, always fun.

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Speaker 1: Okay? Is the continued divide between President Trump and the

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Speaker 1: Federal Reserve putting us behind the curve again? Can the

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Speaker 1: Fed take the right action at the right time or

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Speaker 1: are we looking to be in another economic slowdown? And

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Speaker 1: the Fed can't stay ahead of the curve for the country,

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Speaker 1: at least you can stay ahead for yourself. Coming up,

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Speaker 1: you might want to check with your mortgage broker this morning,

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Speaker 1: because we've had some big movements on that front since

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Speaker 1: the last time you watch this program. That story and more.

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Speaker 1: When American Sunrise Early Edition continues, it's a live look

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Speaker 1: at Philadelphia, Pennsylvania. If you see that woman trying to

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Speaker 1: get the baseball, let me know, just kidding. They're happy

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Speaker 1: in Philly right now. Baseball team is in first place.

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Speaker 1: Their football team won a nice game last a couple

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Speaker 1: of days ago. Here you go. Let's take a look

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Speaker 1: where the markets are meeting in today and see if

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Speaker 1: that brings a smile to your face. Looks like a

433
00:21:14,440 --> 00:21:16,520
Speaker 1: nice open for the Nasdaq and the S and P

434
00:21:16,560 --> 00:21:20,399
Speaker 1: five hundred modest higher opening on the Dow. Stocks fell

435
00:21:20,440 --> 00:21:22,119
Speaker 1: on Friday. We'll talk a little bit more about that

436
00:21:22,160 --> 00:21:24,440
Speaker 1: in a second. Crude oil is up, but it's still

437
00:21:24,480 --> 00:21:26,400
Speaker 1: only at sixty three dollars a barrow. You can see

438
00:21:26,400 --> 00:21:29,760
Speaker 1: it got under sixty two just over the weekend, so

439
00:21:30,080 --> 00:21:31,879
Speaker 1: we're really still very cheap on oil. It's take a

440
00:21:31,920 --> 00:21:35,119
Speaker 1: look at bitcoin. See if it's moving and it is

441
00:21:35,200 --> 00:21:37,040
Speaker 1: just a little bit at just below one hundred and

442
00:21:37,080 --> 00:21:40,520
Speaker 1: twelve thousand. Hey, the markets are now more worried than

443
00:21:40,520 --> 00:21:42,399
Speaker 1: they've been in a little while about the state of

444
00:21:42,440 --> 00:21:44,680
Speaker 1: the economy. That was because of the August jobs report.

445
00:21:44,720 --> 00:21:47,160
Speaker 1: For those of you who missed it on Friday, jobs

446
00:21:47,200 --> 00:21:50,320
Speaker 1: report showed only twenty two thousand net new jobs created

447
00:21:50,359 --> 00:21:53,600
Speaker 1: in August. Also, the June number was revised down to

448
00:21:53,640 --> 00:21:56,600
Speaker 1: a negative number. A lot of people talking about how

449
00:21:56,600 --> 00:21:59,800
Speaker 1: this is again more proof that the Fed too long

450
00:22:00,359 --> 00:22:02,680
Speaker 1: to cut interest rates. When companies have to spend more

451
00:22:02,720 --> 00:22:05,920
Speaker 1: money to borrow money because interest rates are high, that's

452
00:22:06,000 --> 00:22:07,840
Speaker 1: less money for them to use and go and hire

453
00:22:07,880 --> 00:22:10,920
Speaker 1: people and to expand their businesses. President Trump very angry

454
00:22:10,920 --> 00:22:13,240
Speaker 1: at the Fed when that job support came out. But

455
00:22:13,680 --> 00:22:16,399
Speaker 1: of course the silver lining is that now the belief

456
00:22:16,400 --> 00:22:19,600
Speaker 1: that the Fed will cut interest rates later this month,

457
00:22:19,600 --> 00:22:22,480
Speaker 1: September seventeenth and eighteenth, to be exact, is much higher.

458
00:22:22,560 --> 00:22:24,600
Speaker 1: There's another a bit of silver lining to all of

459
00:22:24,640 --> 00:22:26,800
Speaker 1: this I want to talk about, and that is mortgage rates.

460
00:22:27,320 --> 00:22:30,280
Speaker 1: Mortgage rates. As I said about nine o'clock a little

461
00:22:30,280 --> 00:22:32,119
Speaker 1: bit after the jobs work came out, I predicted that

462
00:22:32,280 --> 00:22:34,920
Speaker 1: mortgage rates would really drop on Friday. Boy did they ever.

463
00:22:35,160 --> 00:22:38,359
Speaker 1: They had their biggest one day drop in quite some time. Then,

464
00:22:38,440 --> 00:22:41,239
Speaker 1: now thirty year mortgage average, the average for thirty year

465
00:22:41,240 --> 00:22:43,840
Speaker 1: mortgage is now down to six point twenty nine percent.

466
00:22:44,240 --> 00:22:46,760
Speaker 1: Remember we were way up near about seven percent just

467
00:22:46,800 --> 00:22:49,080
Speaker 1: a couple of months ago. And as I've been saying

468
00:22:49,080 --> 00:22:51,159
Speaker 1: on this program for a number of months, if we

469
00:22:51,200 --> 00:22:53,959
Speaker 1: can just get that thirty year average below six percent,

470
00:22:54,080 --> 00:22:56,720
Speaker 1: even if it's five point nine to nine, it'll be

471
00:22:56,760 --> 00:23:01,240
Speaker 1: such a psychological green light for home buyers and home sellers.

472
00:23:01,280 --> 00:23:03,280
Speaker 1: It will really help the economy because not only will

473
00:23:03,320 --> 00:23:06,399
Speaker 1: homes be sold, but people will go to home Depot

474
00:23:06,480 --> 00:23:08,560
Speaker 1: and Lows and other places like that to do their

475
00:23:08,560 --> 00:23:11,280
Speaker 1: home improvements and things like that. It has a huge,

476
00:23:11,359 --> 00:23:14,119
Speaker 1: huge impact on the economy. I'm keeping my fingers crossed

477
00:23:14,160 --> 00:23:18,439
Speaker 1: about that. Okay, all of you Amazon Prime family members,

478
00:23:18,440 --> 00:23:20,400
Speaker 1: you know who you are, the ones who are related

479
00:23:20,400 --> 00:23:23,720
Speaker 1: to someone who pays for Amazon Prime, but you get

480
00:23:23,720 --> 00:23:27,480
Speaker 1: on their little family plan and you get free delivery. Also, well,

481
00:23:27,560 --> 00:23:31,879
Speaker 1: those days are about to end. Amazon is calling quits

482
00:23:31,920 --> 00:23:34,399
Speaker 1: to that policy. The good news is, though, if you

483
00:23:34,520 --> 00:23:36,440
Speaker 1: were on one of those plans, a family member who

484
00:23:36,480 --> 00:23:39,119
Speaker 1: was paying, and you were one of their invitees. You

485
00:23:39,160 --> 00:23:41,199
Speaker 1: will be able to get Amazon Prime for less than

486
00:23:41,280 --> 00:23:43,800
Speaker 1: fifteen dollars for a whole year for your first year.

487
00:23:43,840 --> 00:23:46,560
Speaker 1: That's a pretty good deal. Amazon trying to crack down

488
00:23:46,600 --> 00:23:49,320
Speaker 1: on this. And remember when Netflix did this a little

489
00:23:49,320 --> 00:23:51,000
Speaker 1: while back, when they stopped all the people who were

490
00:23:51,040 --> 00:23:56,160
Speaker 1: sharing passwords. Netflix survived more than just survived. They're doing

491
00:23:56,280 --> 00:23:58,800
Speaker 1: very well. So Amazon trying to copy that model. Let's

492
00:23:58,840 --> 00:24:01,439
Speaker 1: see if it works. That's their plan right now. So

493
00:24:01,480 --> 00:24:03,720
Speaker 1: get all your free stuff while you can. Okay, ladies

494
00:24:03,720 --> 00:24:18,080
Speaker 1: and gentlemen, start your engines. This is Moving America sponsored

495
00:24:18,119 --> 00:24:23,120
Speaker 1: by Artillery Tea Company artillerytcode dot com. Use promo code

496
00:24:24,000 --> 00:24:27,240
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497
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498
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499
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500
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501
00:24:40,480 --> 00:24:46,320
Speaker 1: responder charities. Artillerytcode dot Com promo code liberty for twenty

502
00:24:46,359 --> 00:24:51,960
Speaker 1: percent off your order. Hey, eight men in Dearborn, Michigan.

503
00:24:52,480 --> 00:24:55,520
Speaker 1: Most of them Arab American new immigrants have been charged

504
00:24:55,520 --> 00:24:59,920
Speaker 1: with stealing more than four hundred luxury vehicles and ship

505
00:25:00,200 --> 00:25:03,440
Speaker 1: them to the Middle East and Africa in a forty

506
00:25:03,680 --> 00:25:07,280
Speaker 1: million dollar theft ring. Now, the FBI says these stolen

507
00:25:07,320 --> 00:25:12,680
Speaker 1: car operations are often used to fund terrorist organizations. In fact,

508
00:25:12,720 --> 00:25:14,520
Speaker 1: this is something that's been going on in America for

509
00:25:14,560 --> 00:25:18,159
Speaker 1: a long time. Under the Obama administration, the FBI was

510
00:25:18,160 --> 00:25:21,879
Speaker 1: told to stand down on investigating these car theft rings

511
00:25:22,320 --> 00:25:26,160
Speaker 1: because they were helping Lesbollah and Fezbollah is controlled by Iran,

512
00:25:26,640 --> 00:25:29,320
Speaker 1: and the Obama administration wanted to be more friendly to Iran,

513
00:25:29,359 --> 00:25:31,800
Speaker 1: so they allowed your car to get stolen and shipped

514
00:25:31,800 --> 00:25:34,160
Speaker 1: over to Africa or in the Middle East for drug

515
00:25:34,200 --> 00:25:37,240
Speaker 1: money or other stuff to fund a terrorist organization. That

516
00:25:37,320 --> 00:25:39,520
Speaker 1: makes no sense to me, but that's exactly what's going on.

517
00:25:39,800 --> 00:25:42,960
Speaker 1: Looks like things have changed now. The defendants each face

518
00:25:43,280 --> 00:25:46,280
Speaker 1: a maximum penalty of ten years in prison and a

519
00:25:46,280 --> 00:25:49,520
Speaker 1: two hundred and fifty thousand dollars fine, But if they

520
00:25:49,560 --> 00:25:52,600
Speaker 1: are found to have strong terrorist ties, like very likely

521
00:25:52,640 --> 00:25:56,359
Speaker 1: in this case, their penalties could get a lot worse. Again,

522
00:25:56,359 --> 00:25:58,640
Speaker 1: this is a major major part of crime in America.

523
00:25:58,680 --> 00:26:02,000
Speaker 1: Also not reported by the mainstream media. But if you

524
00:26:02,040 --> 00:26:03,600
Speaker 1: want to do a little bit of a search online,

525
00:26:03,640 --> 00:26:05,679
Speaker 1: you can do Operation Cassandra. That was the name of

526
00:26:05,720 --> 00:26:08,680
Speaker 1: the operation that the FBI was doing trying to crack

527
00:26:08,720 --> 00:26:11,640
Speaker 1: down on this years ago, and then President Obama made

528
00:26:11,680 --> 00:26:14,280
Speaker 1: them stop. This has not ended. This is a big

529
00:26:14,320 --> 00:26:16,760
Speaker 1: way the terrorists get fund and it's not all oil money.

530
00:26:17,040 --> 00:26:20,240
Speaker 1: It's not all rich billionaires giving them money overseas. It's

531
00:26:20,280 --> 00:26:23,080
Speaker 1: also stuff like this, our property being stolen in America

532
00:26:23,200 --> 00:26:26,960
Speaker 1: being shipped overseas to fun terrorism and they like stealing cars.

533
00:26:27,320 --> 00:26:29,600
Speaker 1: All right, Well, at least he's going out on a

534
00:26:29,680 --> 00:26:32,879
Speaker 1: high note. I'm talking about Japanese Prime Minister Shabiro Eshiba.

535
00:26:33,320 --> 00:26:35,159
Speaker 1: He is stepping down. He's announcing he's going to be

536
00:26:35,160 --> 00:26:37,639
Speaker 1: stepping down any day now. Now. This is because his

537
00:26:37,720 --> 00:26:41,200
Speaker 1: party was walloped in a parliamentary election that was actually

538
00:26:41,280 --> 00:26:43,760
Speaker 1: last year, and he promised to make some changes. Ever

539
00:26:43,800 --> 00:26:45,560
Speaker 1: since then, he and his government have been what they

540
00:26:45,600 --> 00:26:47,840
Speaker 1: call like a minority government where they work together with

541
00:26:47,880 --> 00:26:50,520
Speaker 1: some other parties. It's been known that he's been a

542
00:26:50,600 --> 00:26:53,800
Speaker 1: lame duck ever since. But give him credit. He wanted

543
00:26:53,840 --> 00:26:56,080
Speaker 1: to do something major before he stepped down, and that

544
00:26:56,280 --> 00:26:59,600
Speaker 1: was apparently negotiating this deal with the Trump administration for

545
00:26:59,640 --> 00:27:03,320
Speaker 1: fifteen percent tariffs going both ways on Japanese cars that

546
00:27:03,359 --> 00:27:05,359
Speaker 1: are sent to the US and US cars that are

547
00:27:05,359 --> 00:27:07,520
Speaker 1: sent to Japan. It was actually a very big deal.

548
00:27:07,800 --> 00:27:10,200
Speaker 1: So we got that done and that's a big ciber

549
00:27:10,200 --> 00:27:12,479
Speaker 1: relief for a lot of Japanese automakers car dealers here

550
00:27:12,520 --> 00:27:14,800
Speaker 1: in this country. So Ishiba gets that done, and now

551
00:27:14,800 --> 00:27:17,960
Speaker 1: he's going to step down. We'll see who takes his place. Well,

552
00:27:17,960 --> 00:27:19,720
Speaker 1: you know, it's been a rough year for Tesla. I

553
00:27:19,760 --> 00:27:22,120
Speaker 1: don't have to tell you that their sales are down

554
00:27:22,200 --> 00:27:25,159
Speaker 1: all over the world. But speaking of Japan, Tesla is

555
00:27:25,200 --> 00:27:27,760
Speaker 1: about to make a very big, clear a very big

556
00:27:27,840 --> 00:27:30,359
Speaker 1: hurdle in Japan. Tesla is about to become the number

557
00:27:30,359 --> 00:27:35,240
Speaker 1: one EV seller in Japan. It's extremely unusual. They're gonna

558
00:27:35,480 --> 00:27:38,359
Speaker 1: eclipse Nissan. Nissan and the Nissan Leaf have been number

559
00:27:38,400 --> 00:27:41,000
Speaker 1: one with evs in Japan by far for a very

560
00:27:41,000 --> 00:27:44,040
Speaker 1: long time. But Tesla's about to outsell them in Japan.

561
00:27:44,119 --> 00:27:46,040
Speaker 1: That's a very very big deal. It's a big deal

562
00:27:46,040 --> 00:27:49,399
Speaker 1: in any foreign, non Japanese company in Japan for cars

563
00:27:49,400 --> 00:27:52,800
Speaker 1: and trucks out sells a Japanese company. That's very very rare.

564
00:27:53,080 --> 00:27:56,119
Speaker 1: But it's super rare considering the fact that Nissan was

565
00:27:56,160 --> 00:27:57,840
Speaker 1: such an innovator with the Leaf. This is a very

566
00:27:57,840 --> 00:28:01,440
Speaker 1: big deal. Hey, maybe it's because politics in Japan aren't

567
00:28:01,520 --> 00:28:04,200
Speaker 1: that centered around Elon Musk. We know that Europeans hate

568
00:28:04,200 --> 00:28:07,000
Speaker 1: Elon Musk because he was aligned with the Trump administration.

569
00:28:07,520 --> 00:28:09,359
Speaker 1: I don't think the Japanese cares much about that, and

570
00:28:09,400 --> 00:28:11,040
Speaker 1: so that might be why the Tesla is selling better

571
00:28:11,080 --> 00:28:14,120
Speaker 1: there we'll see a thirty six. This is the story.

572
00:28:14,119 --> 00:28:15,880
Speaker 1: You're not going to believe. A thirty six year old

573
00:28:15,880 --> 00:28:19,120
Speaker 1: Canadian man is suing nine people who he says beat

574
00:28:19,200 --> 00:28:21,720
Speaker 1: him up last year. Okay, that's not that unusual. Someone

575
00:28:21,760 --> 00:28:23,320
Speaker 1: beats you up, you want to sue them. I get it.

576
00:28:23,720 --> 00:28:26,000
Speaker 1: But here's the rest of the story. Those nine people

577
00:28:26,000 --> 00:28:28,960
Speaker 1: were beating him up when they caught him stealing one

578
00:28:28,960 --> 00:28:31,080
Speaker 1: of their cars in the parking lot of the store

579
00:28:31,080 --> 00:28:34,440
Speaker 1: where they all worked. Now what's he suing them for.

580
00:28:34,520 --> 00:28:36,520
Speaker 1: He's suing them for the fact that he can't get

581
00:28:36,560 --> 00:28:39,840
Speaker 1: work because of his injuries. Apparently his work was being

582
00:28:39,880 --> 00:28:43,360
Speaker 1: a thief. He's been arrested dozens of times for stealing

583
00:28:43,400 --> 00:28:45,959
Speaker 1: over a million dollars worth of merchandise in his life.

584
00:28:46,400 --> 00:28:48,640
Speaker 1: This is a thief who got beaten up by people

585
00:28:48,680 --> 00:28:51,160
Speaker 1: stopping him from stealing a car, and now he's suing

586
00:28:51,200 --> 00:28:54,160
Speaker 1: those people. I don't know if this could ever happen

587
00:28:54,200 --> 00:28:56,280
Speaker 1: in America would surprise me. Right now, it's happening in

588
00:28:56,280 --> 00:28:59,960
Speaker 1: Canada and Winnipeg. Unbelievable story. And because it is Canada,

589
00:29:00,160 --> 00:29:02,640
Speaker 1: I wouldn't be surprised if the judge finds in favor

590
00:29:02,680 --> 00:29:04,680
Speaker 1: of this career criminal. I'll keep an eye on this

591
00:29:04,760 --> 00:29:07,840
Speaker 1: story as it develops. Unbelievab All right, coming up, what

592
00:29:07,960 --> 00:29:11,600
Speaker 1: did we really learn from those Senate hearings with RFK Junior?

593
00:29:12,640 --> 00:29:15,440
Speaker 1: Did we learn anything? And what about Florida's move recently

594
00:29:15,800 --> 00:29:18,160
Speaker 1: to get rid of all vaccine mandates. I'm gonna ask

595
00:29:18,160 --> 00:29:20,959
Speaker 1: a former Trump administration health official when we come right

596
00:29:21,000 --> 00:29:23,680
Speaker 1: back here in an American Sunrise early edition and later later,

597
00:29:23,880 --> 00:29:26,520
Speaker 1: David Body and I will discuss that big story that

598
00:29:26,560 --> 00:29:31,560
Speaker 1: the mainstream media refuses to discuss. That Ukrainian refugee murdered

599
00:29:31,560 --> 00:29:33,920
Speaker 1: in cold blood on this video on a Charlotte light

600
00:29:34,040 --> 00:29:37,840
Speaker 1: rail train. It's all part of the sequestration, the suppression

601
00:29:38,440 --> 00:29:40,920
Speaker 1: of crime. News in America. I'll be right back. The

602
00:29:40,920 --> 00:30:00,200
Speaker 1: American Sunrise Early eddition continues. It's Monday, September eighth. This

603
00:30:00,200 --> 00:30:04,160
Speaker 1: morning's top stories. It's the video. It's now been released

604
00:30:04,160 --> 00:30:06,200
Speaker 1: as a video. So many have finally seen of a

605
00:30:06,320 --> 00:30:09,880
Speaker 1: Ukrainian refugee just looking to live her life peacefully here

606
00:30:09,880 --> 00:30:12,920
Speaker 1: in the US being murdered in complete cold blood on

607
00:30:12,960 --> 00:30:16,520
Speaker 1: a computer train by a career criminal in North Carolina,

608
00:30:16,600 --> 00:30:20,200
Speaker 1: and still the mainstream media hasn't even reported it. We

609
00:30:20,280 --> 00:30:24,880
Speaker 1: will hundreds of South Korea and Hyundai plant workers here

610
00:30:24,880 --> 00:30:28,680
Speaker 1: in America illegally have learned their faith. They're going back home.

611
00:30:29,160 --> 00:30:31,880
Speaker 1: But will the foreign corporations who are setting up operations

612
00:30:31,920 --> 00:30:36,600
Speaker 1: in the US learn their lesson? Speaking of illegal aliens,

613
00:30:36,600 --> 00:30:39,520
Speaker 1: the city of Chicago is reportedly quote bracing for a

614
00:30:39,520 --> 00:30:42,880
Speaker 1: big ice raid end quote But who exactly is worried?

615
00:30:43,520 --> 00:30:45,480
Speaker 1: And if it's just the illegal aliens, why is that

616
00:30:45,520 --> 00:30:50,560
Speaker 1: a bad thing? And this woman became just about the

617
00:30:50,560 --> 00:30:54,560
Speaker 1: most unpopular person in America over the weekend. But is

618
00:30:54,600 --> 00:30:56,840
Speaker 1: she just a one off case or indicative of a

619
00:30:56,880 --> 00:31:07,760
Speaker 1: growing national problem. American Sunrise Early Edition continues. Now, welcome

620
00:31:07,760 --> 00:31:10,360
Speaker 1: back to American Sunrise Early Edition. Is a Monday special.

621
00:31:10,360 --> 00:31:12,040
Speaker 1: Thank you to all of you who are joining us

622
00:31:12,080 --> 00:31:15,360
Speaker 1: on all they in the myriad social media platforms where

623
00:31:15,360 --> 00:31:18,400
Speaker 1: you can watch and comment on the show live platforms

624
00:31:18,440 --> 00:31:21,720
Speaker 1: like x Substack, Rumble. You know who you are. Thank

625
00:31:21,720 --> 00:31:24,040
Speaker 1: you so much for joining us. Also joining us right

626
00:31:24,080 --> 00:31:26,520
Speaker 1: now is Trump Administration or former Trump Administration and Health

627
00:31:26,520 --> 00:31:30,400
Speaker 1: official David mansdor For. He was the assistant he was

628
00:31:30,440 --> 00:31:34,280
Speaker 1: the deputy Assistant Secretary of Health, and Sir David, I

629
00:31:34,320 --> 00:31:36,840
Speaker 1: have to ask you before I get to Florida and

630
00:31:36,880 --> 00:31:39,520
Speaker 1: all those things about the vaccine policies. I want to

631
00:31:39,560 --> 00:31:42,760
Speaker 1: get your reaction to something that President Trump posted last week,

632
00:31:42,800 --> 00:31:46,040
Speaker 1: which I think was really incredibly unique in American history.

633
00:31:46,080 --> 00:31:49,280
Speaker 1: He posted this long post about how he was asking

634
00:31:49,320 --> 00:31:51,160
Speaker 1: an open question, and I think he was asking an

635
00:31:51,160 --> 00:31:56,800
Speaker 1: open and honest question about the efficacy and the legitimacy

636
00:31:56,880 --> 00:31:59,200
Speaker 1: of the COVID vaccines, basically saying he thought that there

637
00:31:59,240 --> 00:32:01,600
Speaker 1: was something being good done to this country when he

638
00:32:01,600 --> 00:32:05,120
Speaker 1: helped the fast track its development, but he wants to know, really,

639
00:32:05,200 --> 00:32:08,080
Speaker 1: really really what its effects were. I don't think we've

640
00:32:08,080 --> 00:32:10,080
Speaker 1: ever had a president, or even really a big time

641
00:32:10,120 --> 00:32:12,880
Speaker 1: politician talk about how he wants to get to the

642
00:32:12,880 --> 00:32:15,080
Speaker 1: bottom of something when they also don't say, hey, here's

643
00:32:15,080 --> 00:32:16,880
Speaker 1: exactly what it was. In other words, they don't really

644
00:32:16,880 --> 00:32:18,080
Speaker 1: want to get to the bottom of it. They just

645
00:32:18,120 --> 00:32:21,240
Speaker 1: want us to get to their conclusion. I honestly think

646
00:32:21,240 --> 00:32:23,560
Speaker 1: here the President Trump wants to find out and he

647
00:32:23,600 --> 00:32:26,080
Speaker 1: looks to He, along with the rest of us, wants

648
00:32:26,120 --> 00:32:29,800
Speaker 1: to get the and the real real evidence. I find

649
00:32:29,800 --> 00:32:32,240
Speaker 1: this to be very unique. Do you have confidence that

650
00:32:32,280 --> 00:32:33,960
Speaker 1: we will get the real story eventually?

651
00:32:35,680 --> 00:32:40,120
Speaker 5: Yes? I think President Trump and Secretary Kennedy actually want

652
00:32:40,160 --> 00:32:45,280
Speaker 5: to follow the science and actually look for the real

653
00:32:46,320 --> 00:32:49,880
Speaker 5: outcomes that we didn't know the data, we didn't know.

654
00:32:50,080 --> 00:32:54,000
Speaker 5: We were misled so many times during COVID that I

655
00:32:54,040 --> 00:32:56,720
Speaker 5: think President Trump is really what's doing what's best for

656
00:32:56,760 --> 00:33:00,320
Speaker 5: the American people. And asking an open ended quest question

657
00:33:00,840 --> 00:33:04,600
Speaker 5: which allows you to follow the data and follow the science,

658
00:33:05,560 --> 00:33:08,560
Speaker 5: I think is an incredible move by the President to

659
00:33:08,720 --> 00:33:10,440
Speaker 5: get to the heart of the issue.

660
00:33:11,680 --> 00:33:11,880
Speaker 3: Yeah.

661
00:33:11,920 --> 00:33:16,000
Speaker 1: I mean, look, there's the idea that everybody I think

662
00:33:16,240 --> 00:33:18,280
Speaker 1: that's one of the biggest things that's always bothered me.

663
00:33:18,800 --> 00:33:22,080
Speaker 1: Excuse me, since I don't have COVID, it's always bothered

664
00:33:22,120 --> 00:33:24,840
Speaker 1: me since the beginning of this story. Is that everyone

665
00:33:24,840 --> 00:33:28,280
Speaker 1: seems to know for sure exactly everything. Oh I know this,

666
00:33:28,360 --> 00:33:29,760
Speaker 1: I know the vaccines are great, or I know the

667
00:33:29,800 --> 00:33:32,760
Speaker 1: vaccines are completely evil. I mean, honestly, we need to

668
00:33:32,800 --> 00:33:35,400
Speaker 1: have more evidence before we know for sure. It's the

669
00:33:35,400 --> 00:33:38,120
Speaker 1: people walking around who was telling us, especially the beginning

670
00:33:38,120 --> 00:33:40,800
Speaker 1: of the pandemic, that they knew exactly what kind of

671
00:33:40,840 --> 00:33:43,160
Speaker 1: mask to wear, and that we were evil if we didn't,

672
00:33:43,840 --> 00:33:46,200
Speaker 1: or on and on down the line. It's the know

673
00:33:46,320 --> 00:33:48,320
Speaker 1: what all factor that really really bothered me. And that

674
00:33:48,400 --> 00:33:51,840
Speaker 1: was why I was so encouraged by that President Trump

675
00:33:51,880 --> 00:33:55,760
Speaker 1: certainly not a shy person, certainly not someone who kicks

676
00:33:55,800 --> 00:33:58,000
Speaker 1: himself and things like that, for him to admit that

677
00:33:58,040 --> 00:34:00,040
Speaker 1: he doesn't know something and wants to find out. But

678
00:34:00,320 --> 00:34:02,200
Speaker 1: I hope that more people. I mean, if President Trump

679
00:34:02,240 --> 00:34:04,240
Speaker 1: can do it, I don't see why more people can't

680
00:34:04,240 --> 00:34:06,680
Speaker 1: do it. I would like everyone watching and everyone who

681
00:34:06,720 --> 00:34:09,120
Speaker 1: is especially on the left, is telling us everything that

682
00:34:09,160 --> 00:34:11,239
Speaker 1: they think they know. Why don't you have a little

683
00:34:11,280 --> 00:34:13,920
Speaker 1: humility the president does in this case? You might want

684
00:34:13,960 --> 00:34:16,160
Speaker 1: to try it. I mean, is this something that I mean,

685
00:34:16,480 --> 00:34:18,239
Speaker 1: could you were you also kind of taken aback by

686
00:34:18,280 --> 00:34:22,120
Speaker 1: everyone who even if they were scientists going outside of

687
00:34:22,200 --> 00:34:26,000
Speaker 1: all their careers training and deciding that they just knew. Oh,

688
00:34:26,040 --> 00:34:27,440
Speaker 1: by the way, you can't get COVID if you go

689
00:34:27,480 --> 00:34:29,799
Speaker 1: to a George Floyd Riot, but you can if you

690
00:34:30,040 --> 00:34:31,719
Speaker 1: if you go to a grocery store or church.

691
00:34:33,600 --> 00:34:36,719
Speaker 5: Well, we all know that public health has become a

692
00:34:36,840 --> 00:34:42,759
Speaker 5: group think religion when it comes to how they drive

693
00:34:42,800 --> 00:34:46,760
Speaker 5: their ideology against the people. And so it doesn't surprise

694
00:34:46,800 --> 00:34:51,280
Speaker 5: me whatsoever that we were misled a number of times

695
00:34:51,360 --> 00:34:54,719
Speaker 5: during COVID. But what's exciting to me is that we

696
00:34:54,840 --> 00:34:57,520
Speaker 5: have a president and we have a secretary that are

697
00:34:57,520 --> 00:35:01,000
Speaker 5: willing to challenge and disrupt the status quo of public health.

698
00:35:01,040 --> 00:35:01,839
Speaker 3: And we've seen that.

699
00:35:01,920 --> 00:35:04,200
Speaker 5: We saw that on Capitol Hill last week, and we

700
00:35:04,239 --> 00:35:07,000
Speaker 5: continue to see that in all of their actions in Washington,

701
00:35:07,080 --> 00:35:07,320
Speaker 5: d C.

702
00:35:08,719 --> 00:35:12,920
Speaker 1: Yeah, let's talk about that. I'm talking to David mansdor for,

703
00:35:12,920 --> 00:35:15,840
Speaker 1: a former Trump administration health official. We're also in the

704
00:35:15,880 --> 00:35:18,840
Speaker 1: midst of a CDC and Health Department revolt of sorts

705
00:35:19,280 --> 00:35:23,560
Speaker 1: against Secretary Kennedy. Secretary Robert F. Kennedy Junior. What's happening

706
00:35:23,560 --> 00:35:25,600
Speaker 1: here exactly? Why are they revolting against him?

707
00:35:27,160 --> 00:35:33,080
Speaker 5: Well, he is upsetting the status quo. CDC has been

708
00:35:33,160 --> 00:35:36,640
Speaker 5: in long need of reform. In fact, both parties have

709
00:35:36,719 --> 00:35:39,600
Speaker 5: tried to reform CDC a number of times and it's

710
00:35:39,640 --> 00:35:42,680
Speaker 5: never really stuck. This time, we have a disruptor in

711
00:35:42,760 --> 00:35:46,040
Speaker 5: chief and the president and a disruptor and Secretary Kennedy.

712
00:35:46,320 --> 00:35:49,400
Speaker 5: They are actually getting to the root cause of many

713
00:35:49,440 --> 00:35:54,160
Speaker 5: of the systemic difficulties that CDC has faced over the

714
00:35:54,280 --> 00:35:58,200
Speaker 5: last few decades. So what we're seeing is we're seeing

715
00:35:58,600 --> 00:36:02,839
Speaker 5: natural pushback from folks that were way too comfortable in

716
00:36:02,880 --> 00:36:06,720
Speaker 5: an organization that needed serious reform.

717
00:36:06,880 --> 00:36:11,160
Speaker 1: Yeah, the pushback on our k Junior last week, there

718
00:36:11,200 --> 00:36:12,520
Speaker 1: was so much of it that I think that this

719
00:36:12,560 --> 00:36:15,279
Speaker 1: one exchange really said it all. We know that there

720
00:36:15,320 --> 00:36:19,040
Speaker 1: was that contentious hearing in the Senate Committee and that

721
00:36:19,120 --> 00:36:21,600
Speaker 1: was on Thursday. There was a lot of grand standing,

722
00:36:21,600 --> 00:36:23,759
Speaker 1: But again, I think this was one exchange with the

723
00:36:23,760 --> 00:36:27,920
Speaker 1: senator from Minnesota who simply decided to misquote Kennedy and

724
00:36:28,000 --> 00:36:30,000
Speaker 1: run with it. Really as indicative of what we're dealing

725
00:36:30,000 --> 00:36:31,040
Speaker 1: with in America. Check it out.

726
00:36:31,760 --> 00:36:35,040
Speaker 8: In the days after the tragic shooting at Annunciation Catholic

727
00:36:35,080 --> 00:36:37,440
Speaker 8: School in my home state of Minnesota, you went on

728
00:36:37,520 --> 00:36:44,560
Speaker 8: Fox News blaming school shootings on antidepressantsls of that because

729
00:36:44,600 --> 00:36:46,400
Speaker 8: you have no evidence of a connection.

730
00:36:47,760 --> 00:36:50,480
Speaker 7: You want to talk You're just saying something. You're just

731
00:36:50,520 --> 00:36:51,080
Speaker 7: making stuff.

732
00:36:51,280 --> 00:36:53,239
Speaker 8: You know, this is what you say, right, So, Jerry

733
00:36:53,320 --> 00:36:56,600
Speaker 8: Kennedy one presents you with information that does not fit.

734
00:36:56,760 --> 00:36:58,600
Speaker 2: I did not blame that shooting you.

735
00:36:59,000 --> 00:37:02,480
Speaker 7: I have no idea whether I have no idea, and

736
00:37:02,560 --> 00:37:06,319
Speaker 7: I would I never said that. You're making it up. Interesting, Yeah,

737
00:37:06,360 --> 00:37:07,600
Speaker 7: you are.

738
00:37:07,360 --> 00:37:10,520
Speaker 8: You want to talk about mental health and guns.

739
00:37:10,560 --> 00:37:13,480
Speaker 1: You're working in this country. If you want to talk about.

740
00:37:13,200 --> 00:37:15,600
Speaker 8: Mental health and gun violence in this country, we should

741
00:37:15,600 --> 00:37:18,200
Speaker 8: be talking about that, because that's what the talia.

742
00:37:18,840 --> 00:37:21,319
Speaker 7: You don't want to talk to our harang and you

743
00:37:21,360 --> 00:37:24,680
Speaker 7: want to be soolitically. You want to have partisan politics.

744
00:37:25,080 --> 00:37:27,280
Speaker 7: That is, I want to actually solve these problems.

745
00:37:29,719 --> 00:37:32,279
Speaker 1: David Manser for what Rgate Junior said, By the way,

746
00:37:32,280 --> 00:37:33,839
Speaker 1: what he really said was that he wanted to look

747
00:37:33,840 --> 00:37:36,880
Speaker 1: into the effects of antidepress and drugs and see if

748
00:37:37,000 --> 00:37:39,200
Speaker 1: if they may have played a role not only in

749
00:37:39,239 --> 00:37:41,920
Speaker 1: this shooting, in that shooting, but in other shootings and

750
00:37:41,960 --> 00:37:45,640
Speaker 1: other incidents across the country. That's what he said. We

751
00:37:45,719 --> 00:37:48,360
Speaker 1: can't improve our healthcare in this country or get to

752
00:37:48,360 --> 00:37:50,719
Speaker 1: the bottom of what drugs are doing. If we're going

753
00:37:50,800 --> 00:37:53,480
Speaker 1: to have people senators of states where there was a shoot,

754
00:37:53,520 --> 00:37:54,880
Speaker 1: I mean, you would think this one would want to

755
00:37:54,920 --> 00:37:57,520
Speaker 1: be a little bit more sensitive because there were people

756
00:37:57,520 --> 00:37:59,560
Speaker 1: in our own state, our own constituencies or are still

757
00:37:59,760 --> 00:38:02,680
Speaker 1: so constituents who are still mourning the shooting, and she's

758
00:38:02,719 --> 00:38:06,400
Speaker 1: decided to deliberately miscoding. I mean, it's very easy. Anyone

759
00:38:06,440 --> 00:38:07,920
Speaker 1: can go to the tape and see that he didn't

760
00:38:07,920 --> 00:38:10,399
Speaker 1: say this was because of antidepressants, and yet she did

761
00:38:10,400 --> 00:38:14,480
Speaker 1: it anyway because the mainstream media is not gonna take

762
00:38:14,520 --> 00:38:16,839
Speaker 1: her to task. The New York Times is gonna say, hey,

763
00:38:16,840 --> 00:38:18,920
Speaker 1: the senator lies, She shouldn't have done that. So they

764
00:38:18,920 --> 00:38:20,720
Speaker 1: feel involved in to do almost anything.

765
00:38:22,560 --> 00:38:26,040
Speaker 5: Yeah, there's a significant double standard when it comes to

766
00:38:26,280 --> 00:38:29,600
Speaker 5: what this administration says versus what the last administration says.

767
00:38:30,719 --> 00:38:34,200
Speaker 5: And what's interesting about that is, yes, there's actually a

768
00:38:34,239 --> 00:38:36,920
Speaker 5: lot of data and evidence out there that SSRI over

769
00:38:37,000 --> 00:38:41,600
Speaker 5: prescription is a really difficult and thing in America. But

770
00:38:42,040 --> 00:38:46,120
Speaker 5: what Secretary Kennedy said and has continued to do is

771
00:38:46,239 --> 00:38:49,640
Speaker 5: try to drive to the heart of why we are.

772
00:38:49,560 --> 00:38:51,160
Speaker 3: Seeing many of these issues.

773
00:38:51,280 --> 00:38:54,919
Speaker 5: And so when you see exchanges like this on Capitol Hill.

774
00:38:55,280 --> 00:38:58,440
Speaker 5: You're absolutely right. It's not about the issues, it's about

775
00:38:58,440 --> 00:39:01,440
Speaker 5: the politics behind it, because it again you look at it,

776
00:39:01,640 --> 00:39:04,840
Speaker 5: they don't want Secretary Kennedy reforming there. They don't like

777
00:39:04,920 --> 00:39:09,279
Speaker 5: Secretary Kennedy taking on the public employee unions at HHS.

778
00:39:09,600 --> 00:39:12,000
Speaker 5: So what they're doing is trying to make light of

779
00:39:12,040 --> 00:39:16,399
Speaker 5: every specific and little issue that they possibly can, even

780
00:39:16,440 --> 00:39:17,960
Speaker 5: to the point where they're making stuff up.

781
00:39:19,040 --> 00:39:22,120
Speaker 1: Yeah, I mean, just that's a tough one. I mean,

782
00:39:22,239 --> 00:39:25,760
Speaker 1: so close to the shooting to just blatantly lie like that. Okay,

783
00:39:26,000 --> 00:39:28,439
Speaker 1: David Manser, let's get to the heart of the matter here.

784
00:39:28,480 --> 00:39:30,920
Speaker 1: This major issue in Florida with the Surgeon General of

785
00:39:30,960 --> 00:39:34,800
Speaker 1: Florida decided to say last week that Florida is going

786
00:39:34,840 --> 00:39:38,880
Speaker 1: to get rid of all vaccine mandates, including for school children,

787
00:39:39,040 --> 00:39:41,920
Speaker 1: even President Trump talking about how maybe he's not so

788
00:39:41,960 --> 00:39:45,680
Speaker 1: sure about this. I wonder what your take on this is.

789
00:39:45,680 --> 00:39:48,160
Speaker 1: Is this being portrayed correctly, because as I understand it,

790
00:39:48,600 --> 00:39:52,280
Speaker 1: actually the Surgeon General Florida can't do this unilaterally. Apparently

791
00:39:52,320 --> 00:39:55,440
Speaker 1: the local communities have to each, one by one go

792
00:39:55,520 --> 00:39:58,680
Speaker 1: for this. But nevertheless, is this something that is mandated

793
00:39:58,719 --> 00:40:00,680
Speaker 1: you think or are you going to be like President

794
00:40:00,680 --> 00:40:02,600
Speaker 1: Trump and openly say hey, I'm not so sure. Let's

795
00:40:02,600 --> 00:40:04,440
Speaker 1: get the data. How do you feel about this?

796
00:40:06,040 --> 00:40:09,200
Speaker 5: Well, one of the things that I do appreciate with

797
00:40:09,239 --> 00:40:12,840
Speaker 5: the Secretary the Surgeon General of Florida is doing is

798
00:40:12,880 --> 00:40:16,600
Speaker 5: that he is trying to restore trust in public health.

799
00:40:17,080 --> 00:40:22,080
Speaker 5: Now we have seen a significant increase in distrust since COVID.

800
00:40:22,600 --> 00:40:23,879
Speaker 3: That's absolutely right.

801
00:40:24,239 --> 00:40:27,920
Speaker 5: But when it comes to the childhood immunionization schedule, there

802
00:40:27,960 --> 00:40:31,800
Speaker 5: are vaccines that work, and I do side with President

803
00:40:31,800 --> 00:40:35,279
Speaker 5: Trump that there are things that are public health and

804
00:40:35,360 --> 00:40:39,279
Speaker 5: evidence based. But what is being done in Florida is

805
00:40:39,360 --> 00:40:46,399
Speaker 5: also helping swing the pendulum back to informed consents and

806
00:40:46,520 --> 00:40:51,120
Speaker 5: actually requiring patients to have conversations with their doctors about

807
00:40:51,239 --> 00:40:54,280
Speaker 5: the different things that they are giving to their kids

808
00:40:54,480 --> 00:40:58,319
Speaker 5: and even receiving themselves. So I figure I'm somewhere in

809
00:40:58,320 --> 00:41:02,000
Speaker 5: the middle of this because I see complete value on

810
00:41:02,280 --> 00:41:04,520
Speaker 5: what the Surgeon General in Florida is doing, because I

811
00:41:04,600 --> 00:41:07,240
Speaker 5: do think it is a step to start to restore

812
00:41:07,280 --> 00:41:10,160
Speaker 5: public health. But I also very much agree with the

813
00:41:10,200 --> 00:41:12,719
Speaker 5: President that there's a lot of evidence that.

814
00:41:12,719 --> 00:41:14,960
Speaker 3: Many of these vaccines actually do work.

815
00:41:15,239 --> 00:41:19,000
Speaker 5: But what we don't know is we've seen a significant

816
00:41:19,000 --> 00:41:22,759
Speaker 5: increase in the number of vaccines given to children over

817
00:41:22,800 --> 00:41:23,880
Speaker 5: the last two decades.

818
00:41:24,080 --> 00:41:26,799
Speaker 3: Do they all work? Do they all work together? There's

819
00:41:26,840 --> 00:41:28,239
Speaker 3: a lot of data that I.

820
00:41:28,200 --> 00:41:31,759
Speaker 5: Think Secretary Kennedy is actually going to look at that

821
00:41:31,880 --> 00:41:35,440
Speaker 5: will determine what the answer to that question is.

822
00:41:36,640 --> 00:41:40,279
Speaker 1: Yeah, and that explosion in the number of vaccines correlates

823
00:41:40,280 --> 00:41:43,319
Speaker 1: with an explosion or an increase in the legal immunity

824
00:41:43,760 --> 00:41:46,120
Speaker 1: of the companies that make them. That doesn't sound like

825
00:41:46,160 --> 00:41:49,200
Speaker 1: a good correlation. Don't want a bunch of tort lawyers

826
00:41:49,200 --> 00:41:52,520
Speaker 1: suing companies every left and right all the time. But

827
00:41:52,560 --> 00:41:54,520
Speaker 1: it does seem like the legal immunity to some of

828
00:41:54,520 --> 00:41:57,120
Speaker 1: these vaccine makers went a little too far. And that

829
00:41:57,160 --> 00:41:58,799
Speaker 1: it has never been a time in human history when

830
00:41:58,800 --> 00:42:00,719
Speaker 1: someone says, hey, we're going to let you do whatever

831
00:42:00,760 --> 00:42:04,120
Speaker 1: you want, and everyone just does better when they're told that.

832
00:42:04,160 --> 00:42:06,799
Speaker 1: It's kind of like tenure. It's basically it's not the

833
00:42:06,840 --> 00:42:08,840
Speaker 1: greatest thing. We need to re examine some of the

834
00:42:08,840 --> 00:42:12,280
Speaker 1: stuff without telling everyone to do nothing or to do everything.

835
00:42:12,480 --> 00:42:14,360
Speaker 1: David Mansdorf for thank you so much for joining us,

836
00:42:14,400 --> 00:42:18,520
Speaker 1: have a great rest of your week. Thank you coming up,

837
00:42:18,640 --> 00:42:21,600
Speaker 1: David Brodie and I will talk about what I consider

838
00:42:21,680 --> 00:42:23,880
Speaker 1: to be the top story in America. Dada, the sickening

839
00:42:24,040 --> 00:42:29,560
Speaker 1: two tiered meteor, rules for covering stories, especially crimes, and

840
00:42:29,600 --> 00:42:33,479
Speaker 1: why it's more dangerous than you think. American Sunrise early

841
00:42:33,600 --> 00:42:59,080
Speaker 1: edition will be right back. There's a lash out of

842
00:42:59,120 --> 00:43:00,920
Speaker 1: New York City this morning. No, we still don't have

843
00:43:00,960 --> 00:43:03,439
Speaker 1: good pro football teams. Both the Giants and the Jets lost,

844
00:43:03,480 --> 00:43:06,520
Speaker 1: although I think the Jets played pretty well, but there

845
00:43:06,560 --> 00:43:10,520
Speaker 1: are no moral victories. There's also no morality in the

846
00:43:10,560 --> 00:43:13,319
Speaker 1: news media, the mainstream news media. The murder of a

847
00:43:13,400 --> 00:43:16,800
Speaker 1: Ukrainian woman in North Carolina, and the mainstream media is

848
00:43:16,840 --> 00:43:20,279
Speaker 1: complete suppression of the story. Well, they might not be

849
00:43:20,280 --> 00:43:23,400
Speaker 1: able to suppress it anymore. They'll try now. This murder

850
00:43:23,440 --> 00:43:25,880
Speaker 1: actually happened last month, but we've got the video of it,

851
00:43:25,960 --> 00:43:29,600
Speaker 1: the surveillance video. It does stop before the stabbing starts.

852
00:43:29,600 --> 00:43:33,239
Speaker 1: This man sitting behind this Ukrainian woman, twenty three year

853
00:43:33,280 --> 00:43:36,680
Speaker 1: old war refugee. The video is going to stop before

854
00:43:36,719 --> 00:43:38,880
Speaker 1: you actually see here there you see it freezes, but

855
00:43:38,960 --> 00:43:42,160
Speaker 1: he starts to stab her repeatedly. The video came out

856
00:43:42,160 --> 00:43:43,960
Speaker 1: and so finally people had to talk about it, at

857
00:43:44,040 --> 00:43:45,879
Speaker 1: least in Charlotte. This was on a light rail train

858
00:43:45,920 --> 00:43:48,720
Speaker 1: in Charlotte, North Carolina. The mayor talked about it finally,

859
00:43:49,120 --> 00:43:51,839
Speaker 1: but nothing yet from the mainstream news media, and David

860
00:43:51,840 --> 00:43:54,680
Speaker 1: Brody joins us, Now, now that would be an outrage

861
00:43:54,680 --> 00:43:57,960
Speaker 1: in it of itself. But remember Daniel Penny and how

862
00:43:58,000 --> 00:44:01,520
Speaker 1: the news media tried to deem any him for saving

863
00:44:01,960 --> 00:44:03,840
Speaker 1: you know, God knows how many lives on a subway

864
00:44:03,880 --> 00:44:06,960
Speaker 1: from someone who was being very violent, and that was

865
00:44:07,000 --> 00:44:09,680
Speaker 1: a huge story. They decided to make him a villain.

866
00:44:10,160 --> 00:44:12,720
Speaker 1: But no reporting on this story from them even today.

867
00:44:13,000 --> 00:44:19,720
Speaker 1: People keep searching the New York Times and other media outlets, CNN, MSNBC, nothing, ABC,

868
00:44:19,840 --> 00:44:24,200
Speaker 1: CBS News nothing. And I think it's basically making up

869
00:44:24,640 --> 00:44:26,880
Speaker 1: making us, bringing us to this place here in America

870
00:44:26,920 --> 00:44:30,600
Speaker 1: where President Trump talking about cracking down on crime. Of course,

871
00:44:30,640 --> 00:44:34,040
Speaker 1: the troops in the streets in DC. You know, they

872
00:44:34,040 --> 00:44:35,960
Speaker 1: think they're having a debate about this. You can't have

873
00:44:36,000 --> 00:44:37,920
Speaker 1: a debate, David, if they're going to suppress God knows

874
00:44:37,920 --> 00:44:39,719
Speaker 1: how many other stories like this they're suppressing.

875
00:44:40,719 --> 00:44:43,239
Speaker 9: Yeah, so here's the thing, right, there's a template for

876
00:44:43,280 --> 00:44:45,839
Speaker 9: all of this, a media template, and this doesn't fit

877
00:44:45,880 --> 00:44:46,720
Speaker 9: the media template.

878
00:44:46,760 --> 00:44:47,480
Speaker 1: It's just that simple.

879
00:44:47,520 --> 00:44:50,160
Speaker 9: And what's the template exactly, Well, the template has to

880
00:44:50,160 --> 00:44:52,520
Speaker 9: do with the narrative, and the narrative is is that

881
00:44:52,840 --> 00:44:57,920
Speaker 9: President Trump is just this horrible, awful dictator who is

882
00:44:57,960 --> 00:45:00,760
Speaker 9: bringing in the National Guard to clean up up cities,

883
00:45:01,080 --> 00:45:04,520
Speaker 9: even though there really isn't it really isn't that bad.

884
00:45:05,040 --> 00:45:05,600
Speaker 1: Well, that.

885
00:45:07,600 --> 00:45:10,479
Speaker 9: Story right there, which should be making national headlines, would

886
00:45:10,480 --> 00:45:13,160
Speaker 9: go against that narrative. And so you know, if you

887
00:45:13,239 --> 00:45:14,200
Speaker 9: inject truth.

888
00:45:13,960 --> 00:45:16,760
Speaker 1: Serum into newsrooms around the country.

889
00:45:16,960 --> 00:45:19,080
Speaker 9: That's exactly what they would tell you. Of course they

890
00:45:19,080 --> 00:45:21,480
Speaker 9: won't tell you that because truth serum. They don't operate

891
00:45:21,520 --> 00:45:22,400
Speaker 9: in truth serum.

892
00:45:22,520 --> 00:45:23,440
Speaker 1: But that is the truth.

893
00:45:23,600 --> 00:45:25,960
Speaker 9: And Jakie, you know this, and I've.

894
00:45:25,760 --> 00:45:27,200
Speaker 1: Been at many morning meetings.

895
00:45:27,200 --> 00:45:29,759
Speaker 9: It's the old nine am, nine thirty am, whatever you

896
00:45:29,760 --> 00:45:31,839
Speaker 9: want to call it, morning meeting where they talk about

897
00:45:31,880 --> 00:45:33,600
Speaker 9: the stories of the day. That's where a lot of

898
00:45:33,600 --> 00:45:36,680
Speaker 9: this media bias starts. Yes, it's in the writing. Yes,

899
00:45:36,719 --> 00:45:39,319
Speaker 9: it's in the headlines. Yes, it's in the anchors in

900
00:45:39,400 --> 00:45:42,160
Speaker 9: terms of them putting in their opinions when they should

901
00:45:42,160 --> 00:45:42,960
Speaker 9: be putting in facts.

902
00:45:42,960 --> 00:45:43,560
Speaker 1: It's all of that.

903
00:45:44,120 --> 00:45:46,920
Speaker 9: But what the media bias is really all about, ultimately,

904
00:45:46,920 --> 00:45:49,600
Speaker 9: at the end of the day is story selection and

905
00:45:49,719 --> 00:45:52,479
Speaker 9: the stories that they actually decide they want to cover

906
00:45:52,760 --> 00:45:53,640
Speaker 9: and are going to give.

907
00:45:53,560 --> 00:45:57,319
Speaker 1: Ink and lift and oxygen to. And this is a

908
00:45:57,360 --> 00:45:58,880
Speaker 1: great example, really exhibit a.

909
00:45:58,880 --> 00:45:59,920
Speaker 9: If you will.

910
00:46:00,280 --> 00:46:03,120
Speaker 1: Yeah, I mean, you know, listen and somebody might say, well,

911
00:46:03,280 --> 00:46:05,239
Speaker 1: why should they make such a big and yes, this

912
00:46:05,320 --> 00:46:07,479
Speaker 1: is a sad story, But they can't make this into

913
00:46:07,520 --> 00:46:10,360
Speaker 1: a big national story. Yes they can. They made Trayvon

914
00:46:10,440 --> 00:46:13,680
Speaker 1: Martin into a national story. They made Kyle Rittenhouse into

915
00:46:13,719 --> 00:46:16,040
Speaker 1: a national story. They made the boy in the Make

916
00:46:16,200 --> 00:46:19,080
Speaker 1: America Great Again hat who was being yelled at by

917
00:46:19,120 --> 00:46:22,279
Speaker 1: a crazy protester on the March for Life into a

918
00:46:22,360 --> 00:46:24,560
Speaker 1: national story, and on and on down the line. It's

919
00:46:24,560 --> 00:46:26,400
Speaker 1: a complete They can do this if they wanted to,

920
00:46:26,520 --> 00:46:29,080
Speaker 1: And this would be an easy one. We're talking about Ukraine, Ukraine,

921
00:46:29,120 --> 00:46:31,000
Speaker 1: Ukraine all the time. This would have been one. I mean,

922
00:46:31,040 --> 00:46:33,400
Speaker 1: that's by the way. That's the kicker. They do stuff

923
00:46:33,480 --> 00:46:36,000
Speaker 1: like this not only to hurt us politically and morally,

924
00:46:36,160 --> 00:46:37,880
Speaker 1: but it hurts their own ratings. This would have been

925
00:46:37,920 --> 00:46:41,200
Speaker 1: a ratings grabber for ABC in the New York Times

926
00:46:41,200 --> 00:46:43,239
Speaker 1: and other places, and they still won't do it right.

927
00:46:43,280 --> 00:46:44,160
Speaker 1: I mean, it's just incredible.

928
00:46:44,360 --> 00:46:47,320
Speaker 9: Bias bias first rating, Bias first rating.

929
00:46:47,360 --> 00:46:51,399
Speaker 1: You'll go bias every time. Yeah, yeah, it's suicidal. All right,

930
00:46:51,520 --> 00:46:53,680
Speaker 1: Stay with us here on Real America's Voice. You have

931
00:46:53,719 --> 00:46:56,560
Speaker 1: a great two hours coming up with American Sunrise, American

932
00:46:56,600 --> 00:46:58,320
Speaker 1: Sunrise Early Edition, and we'll be back tomorrow