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Speaker 1: Well, good evening, everyone, Welcome to Stinchfield. America needs a

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Speaker 1: giant wake up call. Blue state governance is literally hammering

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Speaker 1: away at the American taxpayer. We now have, let's call

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Speaker 1: it the fraud wars underway. What is the fraud capital

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Speaker 1: of the world. Is it Minnesota where we're seeing this crazy,

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Speaker 1: outrageous fraud from Nick Shirley, or is it California under

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Speaker 1: the governance of Gavin Newsom. We're going to cover both

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Speaker 1: of these today. I want to start in California. Though

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Speaker 1: a state auditor report, this is supposed to be a

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Speaker 1: nonpartisan auditor that works for the state, found that eight

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Speaker 1: agencies a high risk to the taxpayer of California because

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Speaker 1: the fraud is rampant, uncovering almost one hundred billion dollars

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Speaker 1: worth of fraud. Listen to how Congressman Kevin Kylie from

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Speaker 1: California spelled it out.

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Speaker 2: And all of this, by the way, comes on top

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Speaker 2: of the incredible fraud and waste in mismanagement that we

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Speaker 2: already knew about the high speed train where there's been

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Speaker 2: no track laid in seventeen years, spending eighteen billion dollars.

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Speaker 2: The thirty two billion dollars during COVID at a minimum

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Speaker 2: of uninsurance employment insurance fraud, the six hundred and fifty

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Speaker 2: million dollars on a canceled U nine to one one

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Speaker 2: next generation system that was canceled because the technology wasn't there.

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Speaker 2: And so California is absolutely, under this governor, the fraud

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Speaker 2: capital of the United States.

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Speaker 3: It most certainly could be.

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Speaker 1: Minnesota looks pretty bad, but I don't know, not even

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Speaker 1: close to California.

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Speaker 3: And nobody's talking about this.

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Speaker 1: Because the mainstream media doesn't want to make avenue some

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Speaker 1: look bad. Maybe the most effect is the twenty four

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Speaker 1: billion dollars spent on homelessness in California. You only to

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Speaker 1: see homelessness in that state rise. What's Gavin Nusom's response.

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Speaker 4: When I got here, the five years before I became governor,

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Speaker 4: fifty one point eight percent increase in that population, and

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Speaker 4: we've now started to significantly decrease that incline.

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Speaker 1: Hold on, we're decreasing the incline, meaning you're not decreasing

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Speaker 1: the homeless population. You're only decreasing the amount of extra

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Speaker 1: homeless people that come into your state every year.

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Speaker 3: Those are the excuses.

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Speaker 1: So this auditor's report, I actually believe if the mainstream

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Speaker 1: media would cover this story poses a great threat to

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Speaker 1: Gavin Neussom and his aspirations of becoming president of the

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Speaker 1: United States.

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Speaker 3: We found things.

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Speaker 1: Inside here, like during the COVID era where they spent

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Speaker 1: four point six million dollars on phones in state agency.

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Speaker 1: So these workers could have cell phones during COVID. First,

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Speaker 1: By the way, everybody that owns a cell phone knows

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Speaker 1: you get free data free calling. Just talk to my

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Speaker 1: friends at Patriot Mobile. Okay, free data free. The state

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Speaker 1: doesn't need to be paying for anybody's phone. It doesn't

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Speaker 1: cost an employee any extra to use it for work.

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Speaker 1: But five million dollars for that eighteen billion as we

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Speaker 1: heard on this high speed rail, and I don't think

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Speaker 1: there's a foot of track laid yet. So again this

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Speaker 1: is big news, maybe even bigger than in Minnesota. I

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Speaker 1: want to bring in now to discuss this. My good

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Speaker 1: friend host of the Morning Answer Out on AM eight seventy,

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Speaker 1: Jennifer Horn, is with me.

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Speaker 3: Jennifer is great to see you.

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Speaker 5: Merry Christmas, Happy New Year.

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Speaker 1: All right, jen Mary Christmas, A happy New Year to

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Speaker 1: you too. This is something you and I have been

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Speaker 1: talking about for years. This doesn't come as a surprise.

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Speaker 1: I guess the only surprise is that as state auditor

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Speaker 1: actually called out Gavin Newsom and the rest of California

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Speaker 1: for this.

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Speaker 5: Isn't it fun to watch Tim Walls and Gavin Newsom

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Speaker 5: try to out ding dong each other on who can

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Speaker 5: screw over the taxpayers worse? And I think the answer,

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Speaker 5: as bad as Tim Wallas is, is that because California

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Speaker 5: is a bigger state, the answer is Gavin Newsom is

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Speaker 5: doing it. When you look at this report, it says

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Speaker 5: that it's possible that seventy billion dollars could have been

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Speaker 5: could be lost in California, and you just did a

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Speaker 5: great job outlining it, from homelessness to the two hundred

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Speaker 5: and twenty four cell phones that are still being paid

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Speaker 5: for that five thousand of them aren't even in service anymore.

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Speaker 5: This is what happens in a state where there is

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Speaker 5: one party rule and there is no oversight, and there

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Speaker 5: is no curious news media that is actually going to

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Speaker 5: go through and ask the questions. And so what happens

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Speaker 5: People finally get sick and tired of paying all of

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Speaker 5: this money in taxes. They're tired of programs that don't work,

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Speaker 5: and so they leave the state. This year, two hundred

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Speaker 5: and sixteen thousand people have left California because they're not

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Speaker 5: getting the services that they were promised or that they

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Speaker 5: deserve for the high dollar that we pay to live here.

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Speaker 1: Jen, can you tell me about this high speed rail project?

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Speaker 1: Eighteen billion dollars spent on it? Is there any track laid?

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Speaker 1: And this has been going on for over a decade.

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Speaker 5: By the way, think about this, So eighteen billions spent

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Speaker 5: in eighteen years, so that means they've spent a billion

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Speaker 5: dollars a year. I'm no math major. That's what comes

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Speaker 5: out to on this project, where literally there is a

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Speaker 5: little bit of track like laid in Modesto, California, which

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Speaker 5: is in the middle of the state, it's going really nowhere.

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Speaker 5: The idea behind this was to connect Los Angeles to

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Speaker 5: San Francisco and to make it efficient for people to

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Speaker 5: get back and forth between these two major hubs. The

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Speaker 5: problem is that you can't even get the tracks into

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Speaker 5: LA because of all the property and the ownership issues.

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Speaker 5: So the closest they'll even get if they finished this

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Speaker 5: project is to about thirty miles outside of Los Angeles,

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Speaker 5: and I don't even know how they're going to get

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Speaker 5: it into San Francisco. So it's not going to work.

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Speaker 5: And even if it does, it's going to be more

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Speaker 5: expensive than flying. So why wouldn't you just fly overall

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Speaker 5: is going to cost one hundred and twenty eight billion

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Speaker 5: dollars if they ever even finished the project, which would

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Speaker 5: take another thirty years.

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Speaker 1: And much of the eighteen billion already spent a federal dollars.

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Speaker 3: They've been getting grant money from the feds.

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Speaker 5: Correct, And you remember, you know this is something that

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Speaker 5: Gavin Newsom never gets called out on, but I know

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Speaker 5: you'll remember this. During the first Trump administration. President Trump

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Speaker 5: was appalled by the amount of money that was spent

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Speaker 5: in federal dollars on this train that literally was going nowhere.

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Speaker 5: And by the way, they have these no big contracts.

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Speaker 5: So one of the people who made the most money

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Speaker 5: on this was Dianne Feinstein's husband, who was a big

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Speaker 5: developer in the state. He was able to get a

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Speaker 5: hold of this contract. He made a ton of money,

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Speaker 5: along with probably a lot of other cronies. And so

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Speaker 5: President Trump said, hey, we want to claw back that

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Speaker 5: federal money. And Gavin Newsom at that point had called

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Speaker 5: off the project. He said, you know, this isn't going well.

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Speaker 5: We're going to end the high speed rail. Well, when

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Speaker 5: President Trump asked for the money back grant, that's when

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Speaker 5: Gavin Newsom picked up the project again because he didn't

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Speaker 5: want to have to pay back the federal money even

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Speaker 5: though he himself had acknowledged it wasn't working.

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Speaker 1: All right, let me play you another clip of Kevin Kylie,

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Speaker 1: the congressman from northern California.

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Speaker 2: Yeah, so this came from the nonpartisan state Auditor, which

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Speaker 2: essentially christened to California the fraud capital of the United States,

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Speaker 2: with the number of agencies classified as high risk, meaning

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Speaker 2: there's a rampant fraud abuse mismanagement. It is double during

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Speaker 2: Gavin Newsom's tenure, from four agencies to eight agencies. So

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Speaker 2: we're talking about all kinds of fraud when it comes

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Speaker 2: to Medicaid, when it comes to snap benefits, when it

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Speaker 2: comes to uninsurance benefits.

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Speaker 1: All right, Jen, So my last question for you is

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Speaker 1: what does this do to Gavin Newsom and his career

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Speaker 1: as a future president?

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Speaker 3: Want to be anyway?

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Speaker 5: Well, thank god for you for bringing it up, because again,

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Speaker 5: the mainstream media is not going to talk about this

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Speaker 5: because he is the front runner right now for twenty

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Speaker 5: twenty eight. What this does, though, however, it puts California

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Speaker 5: at risk for losing federal dollars. It ruins our credit RN.

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Speaker 5: And if you have a good, strong candidate like perhaps

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Speaker 5: a JD. Vance or a Marco Rubio who might be

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Speaker 5: running together, he needs to be called out for this

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Speaker 5: because I still contend the people in Oklahoma, the people

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Speaker 5: in Kentucky do not want to see all of the

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Speaker 5: fraud that runs rampant and the failure in California across

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Speaker 5: our country. So I do think there's a chance that

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Speaker 5: we can use this against Gavin Newsom in twenty twenty eight,

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Speaker 5: but it's going to take strong candidates who know all

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Speaker 5: of this stuff so they can hold him accountable.

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Speaker 3: Well, this is exactly why we're doing this, because nobody

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Speaker 3: else is.

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Speaker 1: And we appreciate all your insight. Nobody knows California better

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Speaker 1: than you. Jen Horn at Jennifer Horn on the platform

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Speaker 1: X and of course on the radio out at AM

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Speaker 1: eight seventy every morning from six to nine am Pacific.

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Speaker 3: Jen, thank you for coming on.

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Speaker 5: I suffer so you don't have to.

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Speaker 3: There you go.

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Speaker 1: We love Avan jen On and the Happy New Year

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Speaker 1: to you Jen as well. Okay, now we move to Minnesota.

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Speaker 1: I'll tell you I don't know who wins, right, I'm

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Speaker 1: pretty sure Gavin Newsom has the record for the amount

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Speaker 1: of money, but the most egregious, in your face and

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Speaker 1: ignored fraud, the award may go to Tim Tampon Walls. Okay,

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Speaker 1: Governor Walls. We now have evidence of more Somali fraud

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Speaker 1: thanks to this independent journalist, Nick Shirley, who I've been

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Speaker 1: following for a long time on x and YouTube. He

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Speaker 1: did what the mainstream media wouldn't do. Notice I didn't

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Speaker 1: say couldn't do, I said wouldn't do.

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Speaker 3: He literally went.

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Speaker 1: Door to door trying to see where all the money

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Speaker 1: was going, from healthcare outlets to daycare centers, daycare centers

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Speaker 1: with no kids.

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Speaker 6: Watch well, this is actually two daycares are registered here.

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Speaker 6: One of them is Mako what you see on the sign.

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Speaker 6: The other one is Many Childcare Center. And between the

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Speaker 6: two of these childcare centers they're pulling in about three

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Speaker 6: million dollars a year and there are no children. Every facility,

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Speaker 6: as you go to, the windows will be blocked out

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Speaker 6: so you can't see and there's nobody here. You won't

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Speaker 6: see a single child at any of these facilities.

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Speaker 7: There are indeed no windows. All the windows are blocked

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Speaker 7: out right here. All right, let's go in. No, and

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Speaker 7: the childcare center is locked. Shooting the doorbell, try to

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Speaker 7: get in, rang the doorbell, nobody showed up. They're open

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Speaker 7: seventies a week at seventy en to ten pm, it

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Speaker 7: says here on their sign. Yet there's absolutely nobody here, and.

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Speaker 1: Yet allegedly they're receiving taxpayer money. I'd like to ask

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Speaker 1: them some questions. Are more than welcome to come on

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Speaker 1: this program and go on my website Granstonsfield dot com

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Speaker 1: reach out to me. But Nick Shirley couldn't get any answers.

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Speaker 1: He found one building with about thirty different healthcare agencies

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Speaker 1: in it, across the street from childcare agencies. Nobody wanted

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Speaker 1: to provide him healthcare. And with that building, by their estimate,

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Speaker 1: was pulling in sixty million.

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Speaker 3: Dollars worth of state funds.

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Speaker 7: Roll the next clip, these buildings should be operating as

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Speaker 7: they're receiving literally millions of dollars. I knocked on the door,

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Speaker 7: into my surprise, somebody actually answered the door Hello, can

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Speaker 7: we speak? I would like to check a child in

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Speaker 7: the daycare? Can I speak to a manager? Where can

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Speaker 7: I get paperwork to file for my son? I wanted

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Speaker 7: to put my son, Joey in daycare in After a

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Speaker 7: few questions, the lady went silent.

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Speaker 1: So you run a daycare center, but somebody wants to

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Speaker 1: talk to you about bringing a kid into the.

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Speaker 3: Daycare, but you don't talk to them.

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Speaker 1: What the world is going on with that? So you

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Speaker 1: want to know the governor's response. Tim Wallas's response to this.

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Speaker 1: His people put out a statement on accident reads that

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Speaker 1: he's worked years to crack down on fraud and now

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Speaker 1: he wants to ask the legislature for more authority to

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Speaker 1: do that. Are you kidding me, Governor wolves you've worked

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Speaker 1: years to crack down on fraud?

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Speaker 3: Is that an admission that.

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Speaker 1: Your work is ineptitude but you have no ability to

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Speaker 1: crack down on anything? Or you're simply lying in that tweet.

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Speaker 1: But it gets even worse because now the left answer

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Speaker 1: to the Somali fraud that's being exposed by others, including

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Speaker 1: Nick Shirley, is this.

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Speaker 8: This is what happens when your own federal government wages

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Speaker 8: war against you. This is what happens when they target

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Speaker 8: communities for their own benefit. This is what happens when

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Speaker 8: they scapegoat, And this is what say happens when they

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Speaker 8: no longer hide the idea of white supremacy. When you

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Speaker 8: hear the Vice President of the United States talk about

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Speaker 8: now white people won't have to apologize for being white.

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Speaker 3: White supremacy.

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Speaker 1: You've got daycare center after daycare center, empty health care

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Speaker 1: facility after healthcare facility.

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Speaker 3: That doesn't offer you any healthcare. It's not about white supremacy.

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Speaker 1: It's about making sure the taxpayer money is being spent properly.

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Speaker 3: Now, Somali's threatened to blame.

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Speaker 1: The state for engaging in racism if they continue to investigate.

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Speaker 1: Who do you think that's from The New York Times.

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Speaker 1: A couple weeks ago, the New York Times run an

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Speaker 1: article calling out the Democrats in Minnesota. The New York

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Speaker 1: Times said that they were threatened Governor Walls and others

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Speaker 1: that the Somalis would say, hey, you're racist if you investigate,

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Speaker 1: back off, And what did the government do?

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Speaker 3: They backed off?

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Speaker 1: Now, the reality is this has nothing to do with race.

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Speaker 1: It does have to do with the fact that the

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Speaker 1: largest engager, it appears of this behavior is the Somali community.

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Speaker 3: Listen to this.

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Speaker 6: This year they got one point nine million. Last year,

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Speaker 6: they got one point five million of your tax money

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Speaker 6: for nine to nine children. We just want to know

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Speaker 6: where are the kids?

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Speaker 2: Right?

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Speaker 3: Where are the children? I'll see them. I've been here

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Speaker 3: since twenty seventeen, see anybody.

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Speaker 7: And so you've never seen a child here for eight years?

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Speaker 3: Nope, not at all.

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Speaker 7: And how does that make you feel knowing that this

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Speaker 7: place is received a one point nine million.

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Speaker 3: Dollars discussing that?

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Speaker 1: So you know the other gentleman who was helping Nick

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Speaker 1: Shirley out there, the older man with white hair, his

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Speaker 1: name's David.

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Speaker 3: How did he get on this case?

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Speaker 1: Simply driving by working in the area, noticing that all

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Speaker 1: these daycare centers have no children. So we started doing

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Speaker 1: a freedom of information request to see where the money

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Speaker 1: was going. Again, these are independent what amounts to journalists,

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Speaker 1: And again the leftist media doesn't care about this. The

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Speaker 1: leftist media wants to ignore. They want to cover. Their

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Speaker 1: credibility is shot now just denounce it, but they can't.

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Speaker 3: Instead, we get this from a New York Times writer

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Speaker 3: cut eight.

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Speaker 9: But of course the The other factor here is that

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Speaker 9: because it looks like the Somali population in Minnesota, the

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Speaker 9: Somali immigrant population may have been at some involved in

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Speaker 9: some way, those people are being scapegoated, and that community

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Speaker 9: is being scapegoaded in a way that certainly serves the

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Speaker 9: far right.

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Speaker 3: Nobody's being scapegoated.

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Speaker 1: You're responsible for your own actions, and I swear as

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Speaker 1: God is my witness, if this was a Republican group

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Speaker 1: that was doing this, if they were light bad actors

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Speaker 1: doing it, if they were Asian bad actor, I would

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Speaker 1: call it out, because this is what we do on

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Speaker 1: this program.

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Speaker 3: We call out waste, fraud and abuse.

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Speaker 1: Now, Cash Battel says he's going to dispatch federal agents

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Speaker 1: into Minnesota and start investigating this at a very fast

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Speaker 1: and furious pace, and well he should.

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Speaker 3: That's the tweet from Cashptel right there. This is the

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Speaker 3: very tip of the large Iceberg. Well on with me

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Speaker 3: now to discuss this.

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Speaker 1: Vice president of research at the Government Accountability Institute and

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Speaker 1: author of Fraud how the Left plans to steal the

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Speaker 1: next election, Eric Eggers is with us.

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Speaker 3: Eric. Welcome to the program.

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Speaker 10: Hey Grant, it's great to be with you, and you're

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Speaker 10: exactly right. If there was a network of Christian homeschool

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Speaker 10: parents who were defrauding the government to the tune of

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Speaker 10: tens or hundreds of millions of dollars, it would be

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Speaker 10: leading every network broadcast in the country. Instead, because it's

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Speaker 10: a group of Somalis. The ops is true. Thank goodness

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Speaker 10: for your program to be able to shed light on

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Speaker 10: this incredibly important and expensive issue.

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Speaker 1: Well, I appreciate that, Eric, And the truth is, it

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Speaker 1: would be leading this program too, because if you're stealing

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Speaker 1: from taxpayers, I don't care who you are, it's wrong.

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Speaker 3: If you break the law, it's wrong.

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Speaker 1: Just as I call out congressmen and women who are

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Speaker 1: getting rich on the backs of the American taxpayer. I

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Speaker 1: don't care if you're Republican or Democrats. But that's not

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Speaker 1: how it is.

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Speaker 3: Eric. For the Democrats, it amazes me the lengths they

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Speaker 3: will go to defend this behavior and the Somali community

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Speaker 3: and the fraudsters engaging in this.

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Speaker 10: Eric, So think about this right, like of all the

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Speaker 10: different fraudulent programs that have existed in Minnesota. And by

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Speaker 10: the way, the Tim Waltz tweet is so fabricated it's ridiculous.

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Speaker 11: Not only has he been working to not expose the fraud.

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Speaker 10: He's been working with Democrats in the Minnesota legislature to

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Speaker 10: help cover it up. He actually worked to try to

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Speaker 10: prevent a bipartisan effort to create an independent Investigator General

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Speaker 10: to look into all this stuff to stop it.

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Speaker 11: But that's, you know, on aside.

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Speaker 10: The point is is that in Minnesota, just one of

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Speaker 10: the different aspects of fraud, autism centers. They went from

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Speaker 10: six six million dollars of autism spending to like one

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Speaker 10: hundred and ninety two million, something like a small number

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Speaker 10: of centers, fifty centers maybe to three hundred. If it

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Speaker 10: was anything else, it would be a public health crisis.

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Speaker 10: Why all of a sudden is everyone autistic? But instead,

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Speaker 10: because it's a Somali community and the money's flowing to

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Speaker 10: a reliable Democrat voting block, they look the other way.

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Speaker 10: These Simali business people met We have the secret audio

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Speaker 10: recording with the when they met with Attorney General Keith

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Speaker 10: Ellison a month before they were raided by the FEDS,

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Speaker 10: and they said, listen, the state authorities are investigating us.

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Speaker 10: They're asking us to provide too much information because they're racist.

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Speaker 10: They're picking on us because we're Somali. Will you please

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Speaker 10: help us? And Keith Ellison, because he's an elected statewide

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Speaker 10: Democrats said, of course, I'll help you.

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Speaker 11: I don't care about the blowback.

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Speaker 10: I put a white man in prison for what he

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Speaker 10: did with George Floyd. I'm certainly willing to stand up

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Speaker 10: on your behalf. And then a month later, the FEDS

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Speaker 10: came in and said, looking, all these guys are providing

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Speaker 10: and committing fraud.

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Speaker 11: It's a scandal, but that's.

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Speaker 10: The playbook they've been using for years in Minnesota and

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Speaker 10: getting away with it.

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Speaker 1: Eric, your organization is committed, uh to rooting out this

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Speaker 1: this kind.

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Speaker 3: Of waste, frawed abuse.

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Speaker 1: When you look at this case, how large do you

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Speaker 1: think it gets? Where do we go from here with this?

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Speaker 10: So here's what I'm concerned about, Grant. And you know,

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Speaker 10: I heard your guest earlier talking about the parallels with California,

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Speaker 10: and she's exactly right. You know, the similar are similarity's

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Speaker 10: actually quite striking. Tim Wawts is actually the vice presidential

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Speaker 10: nominee Gavin Newsom as a presumptive presidential front runner.

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Speaker 11: You've got one party rule. But think about this, Grant.

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Speaker 10: So Democrats have been in charge in Minnesota for the

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Speaker 10: last two decades. No Republican has won a statewide office

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Speaker 10: for twenty years. The person who's been in charge of

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Speaker 10: the Democrat Party in Minnesota for the last fifteen years

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Speaker 10: is Ken Martin. Well, he's not in charge the Democrat

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Speaker 10: Party in Minnesota anymore. You know why, because he's now

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Speaker 10: in charge of the Democrat Party for the country.

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Speaker 11: He's head of the DNZ.

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Speaker 10: So they've created this model of one party rule and

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Speaker 10: reliable kickbacks to voting constituencies of these migrogroups who hide

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Speaker 10: behind identity politics, so they're protective species. And then it's

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Speaker 10: this an unvirtuous cycle that's perpetuated in Minnesota. It's costing

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Speaker 10: maybe ten billion dollars, as you heard, in California it's

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Speaker 10: maybe one hundred million. But unfortunately, I believe this is

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Speaker 10: the model the Democrats want to replicate throughout the rest

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Speaker 10: of the country. So how big is it? It's big,

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Speaker 10: it's bad, it's been neglected. But if you allow Democrats

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Speaker 10: to go and checked, do they get even more power?

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Speaker 10: I think this one fortunately be a national scandal.

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Speaker 1: Well, let me play this clip for you, because it

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Speaker 1: backs up exactly what you're saying. About Democrat rule, especially

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Speaker 1: in Minnesota. This is Lieutenant Governor Peggy Flannagan. She's running

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Speaker 1: for United States Senate now in Minnesota. The pandering and

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Speaker 1: appeasement of the Somali community is stunning to me.

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Speaker 3: Check this out.

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Speaker 1: This is her in a hijab and she is not

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Speaker 1: a Muslim by the way, rolling.

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Speaker 12: Sale Meli koom.

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Speaker 13: My name's Peggy Flanagan. I am the Lieutenant governor of Minnesota,

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Speaker 13: and I'm really honored and humboldt.

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Speaker 5: To be here with all of you today.

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Speaker 13: I am incredibly clear that the Somali community is part

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Speaker 13: of the fabric of the state of Minnesota.

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Speaker 1: Eric, I mean it literally, Oh, I almost fall out

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Speaker 1: of my chair. I mean, I guess it's to be expected,

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Speaker 1: but my lord, your reaction.

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Speaker 11: My reaction is it was like a movie.

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Speaker 10: It's like from the people who brought you Gavin Newsom's

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Speaker 10: kwonsa tweet, comes Peggy flan again in a hit job.

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Speaker 10: Her name is Peggy Flanagan. Okay, Like you can't make

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Speaker 10: this up. But it's like a Saturday at Live commercial.

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Speaker 11: Only it's real.

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Speaker 10: And their motives are unfortunately so cynical and they're so

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Speaker 10: unself aware or they think so little of the Minnesota

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Speaker 10: people that they think that this is how you win votes,

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Speaker 10: and they have twenty years to back up that this

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Speaker 10: is a playbook that will be successful. I mean, the

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Speaker 10: one difference between Tim wats and Gavin Newsom. To go

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Speaker 10: back to your earlier question, Gavin Newsom has yet to

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Speaker 10: change the California flag to reflect the population that he's

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Speaker 10: pandering to, at least not yet. Let's give it a minute,

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Speaker 10: because he hasn't run for president officially. But Tim Waffs

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Speaker 10: did that right like he oversaw Minnesota had an awesome

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Speaker 10: flag and now it looks strikingly like the Somali flag.

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Speaker 10: It's insane. So you know, there's one hundred thousand people there.

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Speaker 10: You don't win statewide election if you're Tim Waltz, or

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Speaker 10: if you're Keith Ellison or even ilhan Omar, who, by

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Speaker 10: the way, appeared in a commercial feature in one of

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Speaker 10: the restaurants caught up in the feeding scandal that was

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Speaker 10: revolved around one hundred and twenty five fake meals in

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Speaker 10: Minnesota over COVID.

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Speaker 11: So like these people, they've been doing it for years.

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Speaker 10: It's shameless, but there's been no accountability, and they think

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Speaker 10: they're going to continue to get away with it, which

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Speaker 10: is why Peggy Flanagan is doing things like this.

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Speaker 3: In many respects, it's a shame.

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Speaker 1: We need groups like yours and independent guys like Nick

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Speaker 1: Shirley to go out banging on doors and start exposing

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Speaker 1: it all to get the coverage that it deserves. Eric Agers,

441
00:22:30,560 --> 00:22:31,720
Speaker 1: great having you on the program.

442
00:22:31,800 --> 00:22:33,080
Speaker 3: Thank you, sir. I appreciate you.

443
00:22:33,840 --> 00:22:34,080
Speaker 12: Grant.

444
00:22:34,080 --> 00:22:35,840
Speaker 11: It's pleasure to be with you in your audience. Thank you,

445
00:22:35,880 --> 00:22:36,440
Speaker 11: have a great night.

446
00:22:36,520 --> 00:22:37,439
Speaker 3: Absolutely, thank you.

447
00:22:38,160 --> 00:22:43,040
Speaker 1: Look, folks, this may have some positive repercussions for Republicans.

448
00:22:43,600 --> 00:22:47,960
Speaker 1: You know, we have a Senate race. The Republicans lost

449
00:22:47,960 --> 00:22:52,240
Speaker 1: by five points in twenty twenty in Minnesota. We could

450
00:22:52,240 --> 00:22:54,320
Speaker 1: win a Senate race if the people of Minnesota wake

451
00:22:54,400 --> 00:22:57,320
Speaker 1: up and see what leadership or so called leadership looks

452
00:22:57,400 --> 00:22:57,800
Speaker 1: like there.

453
00:22:58,119 --> 00:22:59,240
Speaker 3: With all of this fraud.

454
00:23:00,119 --> 00:23:03,919
Speaker 1: All right, a new, more virulent and severe flu strain

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465
00:23:42,720 --> 00:23:45,200
Speaker 1: The Supreme Court has blocked President Trump from using the

466
00:23:45,280 --> 00:23:49,560
Speaker 1: National Guard in Chicago, But what about New Orleans? We

467
00:23:49,680 --> 00:23:52,479
Speaker 1: have National Guard troops headed there as we speak.

468
00:24:02,480 --> 00:24:03,399
Speaker 3: Welcome back everyone.

469
00:24:03,480 --> 00:24:05,639
Speaker 1: Right now, as we speak, about three hundred and fifty

470
00:24:05,720 --> 00:24:10,280
Speaker 1: National Guard troops are on their way to Louisiana, specifically

471
00:24:10,560 --> 00:24:15,400
Speaker 1: New Orleans. Why because of the heightened terror threat and

472
00:24:16,119 --> 00:24:19,360
Speaker 1: crime and everything that's about to unfold on New Year's Eve.

473
00:24:21,040 --> 00:24:25,479
Speaker 14: Only in security investigations FBI and other local law enforcement partners,

474
00:24:25,520 --> 00:24:28,760
Speaker 14: we did just foil a planned attack for New Year's

475
00:24:28,760 --> 00:24:31,760
Speaker 14: Eve where they're coordinated bombings by a very far left

476
00:24:31,840 --> 00:24:34,800
Speaker 14: terrorist organization. But that being said, I think what the

477
00:24:34,800 --> 00:24:37,480
Speaker 14: Trump administration has done so well is really breaking down

478
00:24:37,680 --> 00:24:39,440
Speaker 14: these silos and the intelligence community.

479
00:24:41,640 --> 00:24:45,560
Speaker 1: So this deployment to New Orleans comes after a six

480
00:24:45,680 --> 00:24:49,080
Speaker 1: to three Supreme Court decision that blocked President Trump's plan

481
00:24:50,000 --> 00:24:53,240
Speaker 1: to use National Guard troops to protect ICE agents and

482
00:24:53,280 --> 00:24:56,199
Speaker 1: federal property in Chicago.

483
00:24:56,960 --> 00:24:58,320
Speaker 3: Now it all comes.

484
00:24:58,040 --> 00:25:03,520
Speaker 1: Down to a term quote regular forces, and what that means.

485
00:25:04,320 --> 00:25:09,440
Speaker 1: And according to current law, constitutional law that President Trump

486
00:25:09,480 --> 00:25:13,119
Speaker 1: can only call up the National Guard if regular forces

487
00:25:14,160 --> 00:25:15,320
Speaker 1: can't do the job.

488
00:25:16,440 --> 00:25:18,960
Speaker 3: What does regular forces mean? This is the big question.

489
00:25:19,520 --> 00:25:23,320
Speaker 1: Supreme Court ruled that the National Guard is not regular forces.

490
00:25:23,359 --> 00:25:25,239
Speaker 1: Here's Constitutional Attorney John Yu.

491
00:25:26,040 --> 00:25:29,639
Speaker 15: The unintended consequence here might be that the president is

492
00:25:29,680 --> 00:25:32,320
Speaker 15: going to have to call the eighty second Airborne or

493
00:25:32,359 --> 00:25:35,040
Speaker 15: the Marines, or the one hundred and first Airbord Division,

494
00:25:35,200 --> 00:25:38,680
Speaker 15: as for example, President Eisenhower did after Brown versus Board

495
00:25:38,720 --> 00:25:42,160
Speaker 15: of Education in the South to enforce desegregation. President Trump

496
00:25:42,280 --> 00:25:45,000
Speaker 15: might have to do that first in order to protect

497
00:25:45,200 --> 00:25:48,720
Speaker 15: those federal buildings, those ICE agents, and then if they fail,

498
00:25:49,119 --> 00:25:52,680
Speaker 15: he can then call out the National Guard, all.

499
00:25:52,720 --> 00:25:55,080
Speaker 1: Right, because there's a difference between the National Guard and

500
00:25:55,200 --> 00:25:59,720
Speaker 1: active duty military under the command of the Pentagon before

501
00:25:59,800 --> 00:26:01,080
Speaker 1: being called up.

502
00:26:01,320 --> 00:26:04,840
Speaker 3: Okay, so all of this will have ramifications.

503
00:26:06,880 --> 00:26:10,760
Speaker 1: Chicago will be a more dangerous place because of the

504
00:26:10,800 --> 00:26:13,679
Speaker 1: limitations it's being put on President Trump and what do

505
00:26:13,760 --> 00:26:16,800
Speaker 1: you think. Brandon Johnson, the mayor of Chicago's response to

506
00:26:16,880 --> 00:26:19,320
Speaker 1: all of this is you think, all right, we'll flood

507
00:26:19,359 --> 00:26:20,360
Speaker 1: his own cops.

508
00:26:20,680 --> 00:26:22,200
Speaker 3: We'll make sure the people are safe.

509
00:26:23,160 --> 00:26:23,200
Speaker 16: No.

510
00:26:24,400 --> 00:26:28,000
Speaker 17: The second executive order that I have signed momentarily is

511
00:26:28,040 --> 00:26:32,679
Speaker 17: the executive order that is capping police overtime spending. The

512
00:26:32,800 --> 00:26:37,080
Speaker 17: order requires CPD to receive executive authorization and city Council

513
00:26:37,080 --> 00:26:43,040
Speaker 17: approvement for overtime spending which exceeds the budget the budgeted cap.

514
00:26:45,400 --> 00:26:50,199
Speaker 1: He's capping cops overtime. They already have fewer officers than

515
00:26:50,200 --> 00:26:53,200
Speaker 1: ever before in Chicago. He says he wants to give

516
00:26:53,240 --> 00:26:56,440
Speaker 1: the cops the rest they need. That's not what he's doing.

517
00:26:56,800 --> 00:26:58,960
Speaker 1: He's taking cops off the street to give criminals the

518
00:26:59,040 --> 00:27:02,119
Speaker 1: upper hand, because this is what radical leftists do. But

519
00:27:02,240 --> 00:27:04,560
Speaker 1: back to this idea that President Trump can't call up

520
00:27:04,560 --> 00:27:07,520
Speaker 1: the National Guard for these things, and he is now

521
00:27:07,520 --> 00:27:09,919
Speaker 1: calling up the National Guard in Louisiana.

522
00:27:11,920 --> 00:27:13,960
Speaker 3: Will play out with all of this, Well, I.

523
00:27:13,880 --> 00:27:18,160
Speaker 1: Want to bring in now constitutional attorney, active National guardsman.

524
00:27:18,480 --> 00:27:20,920
Speaker 1: It's also a Green Beret, I believe. West Virginia State

525
00:27:21,000 --> 00:27:24,800
Speaker 1: Senator and candidate for US Senate Tom Willis is with us. Senator,

526
00:27:24,840 --> 00:27:26,200
Speaker 1: Great to have you on the program.

527
00:27:26,920 --> 00:27:28,480
Speaker 12: Great to be with you, Thanks for having me Grant.

528
00:27:29,359 --> 00:27:33,240
Speaker 1: All right, so this is somewhat complicated. I was reading

529
00:27:33,359 --> 00:27:36,320
Speaker 1: a very long drawn out explanation of this and my

530
00:27:36,359 --> 00:27:40,560
Speaker 1: head started spinning. Can you simplify this for us and

531
00:27:41,000 --> 00:27:44,960
Speaker 1: explain why President Trump can call up the National Guard

532
00:27:45,000 --> 00:27:47,240
Speaker 1: to Louisiana but not to Chicago.

533
00:27:48,880 --> 00:27:51,480
Speaker 12: Well, let's focus on Chicago first.

534
00:27:51,600 --> 00:27:54,720
Speaker 18: So what happened was Trump federalized about three hundred National

535
00:27:54,720 --> 00:28:00,200
Speaker 18: guardsmen in October. The district court, Federal District Court put

536
00:28:00,200 --> 00:28:03,960
Speaker 18: a temporary restraining order on that deployment. The Appeals Court

537
00:28:04,000 --> 00:28:09,440
Speaker 18: for the Seventh Circuit confirmed that temporary restraining order. They

538
00:28:09,480 --> 00:28:12,600
Speaker 18: refused to grant the Trump administration a stay against that

539
00:28:12,640 --> 00:28:15,919
Speaker 18: temporary restraining order, and the Supreme Court affirmed the Seventh

540
00:28:15,960 --> 00:28:19,679
Speaker 18: Circuit's refusal to grant the government a stay.

541
00:28:20,080 --> 00:28:22,800
Speaker 12: So what this means is that the case isn't over.

542
00:28:23,000 --> 00:28:25,120
Speaker 18: It just goes back to the district court for full

543
00:28:25,160 --> 00:28:28,360
Speaker 18: litigation at this point, so it's still it's still it's

544
00:28:28,359 --> 00:28:30,160
Speaker 18: still going to be litigated. They're still going to duke

545
00:28:30,200 --> 00:28:33,320
Speaker 18: it out in the district court and we'll see you

546
00:28:33,359 --> 00:28:34,400
Speaker 18: know how it pans out.

547
00:28:34,720 --> 00:28:36,160
Speaker 12: But the Supreme Court.

548
00:28:35,960 --> 00:28:38,640
Speaker 18: Basically said in the Chicago case that there are two

549
00:28:38,640 --> 00:28:42,040
Speaker 18: criteria that the Trump administration needs to meet. One is

550
00:28:42,040 --> 00:28:45,600
Speaker 18: that there's a legal authority for regular military forces to

551
00:28:45,720 --> 00:28:48,880
Speaker 18: enforce the law, and then number two, they're unable to

552
00:28:48,960 --> 00:28:52,880
Speaker 18: do so. And only then can you mobilize the national

553
00:28:52,920 --> 00:28:55,400
Speaker 18: Guard to federalize the national Guard. And they hadn't met

554
00:28:55,400 --> 00:29:00,800
Speaker 18: those circumstances. So that's that was the ruling. Vana wrote

555
00:29:00,800 --> 00:29:03,000
Speaker 18: a concurrence and just said he would just focus on

556
00:29:03,040 --> 00:29:06,480
Speaker 18: the unable language. And then Alito wrote a dissent that

557
00:29:06,600 --> 00:29:09,480
Speaker 18: said there's a long tradition of using the National Guard

558
00:29:09,520 --> 00:29:13,120
Speaker 18: to protect federal property in personnel, and he disagreed with

559
00:29:13,120 --> 00:29:14,120
Speaker 18: the majority opinion.

560
00:29:15,240 --> 00:29:19,720
Speaker 1: And I believe Clarence Thomas, who also sided with Alito,

561
00:29:20,040 --> 00:29:23,480
Speaker 1: said that, hey, we made this decision, but arguments weren't

562
00:29:23,520 --> 00:29:25,760
Speaker 1: really be even been able to be made.

563
00:29:25,680 --> 00:29:27,120
Speaker 3: On President Trump's behalf.

564
00:29:27,240 --> 00:29:29,720
Speaker 1: This was just a Supreme Court stepping in and making

565
00:29:29,720 --> 00:29:32,560
Speaker 1: a ruling before they heard even any arguments.

566
00:29:32,680 --> 00:29:33,120
Speaker 3: Correct.

567
00:29:34,280 --> 00:29:35,440
Speaker 12: That's absolutely correct, Grant.

568
00:29:35,480 --> 00:29:37,880
Speaker 18: That was a large part of the dissenting opinion, the

569
00:29:37,880 --> 00:29:41,040
Speaker 18: fact that there were not full briefings that were not

570
00:29:41,040 --> 00:29:46,600
Speaker 18: full oral arguments, and the dissent, Alito Thomas Corsich, pointed

571
00:29:46,640 --> 00:29:49,400
Speaker 18: out that for such a critical issue like this that's

572
00:29:49,440 --> 00:29:51,640
Speaker 18: going to have not just short term ramifications under the

573
00:29:51,640 --> 00:29:56,040
Speaker 18: Trump administration, but long term ramifications for future presidencies, really

574
00:29:56,080 --> 00:29:59,560
Speaker 18: there should have been a full briefing, full oral arguments

575
00:29:59,600 --> 00:30:00,600
Speaker 18: to decide this case.

576
00:30:01,560 --> 00:30:05,480
Speaker 3: All right, Senator, so you're a green beret corrected.

577
00:30:05,080 --> 00:30:09,280
Speaker 1: Thank you for your service for that active duty National Guard.

578
00:30:09,840 --> 00:30:12,760
Speaker 1: What's your opinion about President Trump using the National Guard

579
00:30:12,760 --> 00:30:15,800
Speaker 1: in these situations, whether it's in Chicago or Louisiana, or

580
00:30:15,880 --> 00:30:18,080
Speaker 1: DC or California.

581
00:30:18,160 --> 00:30:23,960
Speaker 18: Your thoughts, Well, I'm a reservist National guardsman, I'm not

582
00:30:24,320 --> 00:30:27,800
Speaker 18: full time active duty, but you know, look to me, Grant,

583
00:30:27,840 --> 00:30:31,360
Speaker 18: it just goes back to a clear divide between Democrats

584
00:30:31,400 --> 00:30:34,240
Speaker 18: and Republicans, and it's one of the reasons why I'm

585
00:30:34,280 --> 00:30:36,200
Speaker 18: proud to be a part of the Republican Party. You

586
00:30:36,240 --> 00:30:40,240
Speaker 18: look at Democrat run cities and you see crime and insecurity,

587
00:30:40,280 --> 00:30:42,880
Speaker 18: and you look at the Republicans and we're the party

588
00:30:42,920 --> 00:30:45,920
Speaker 18: of law and order and safety and security. That's why

589
00:30:45,960 --> 00:30:47,960
Speaker 18: I'm proud to be running for US Senate as a

590
00:30:48,000 --> 00:30:52,600
Speaker 18: Republican candidate in West Virginia. Look, there, I agree with

591
00:30:52,680 --> 00:30:54,840
Speaker 18: with John you and the clip you just showed before.

592
00:30:54,880 --> 00:30:57,480
Speaker 18: There are a lot of unintended consequences here. It's almost

593
00:30:57,480 --> 00:30:59,840
Speaker 18: as if the Supreme Court is inviting the Trump administration

594
00:31:00,120 --> 00:31:03,680
Speaker 18: deploy active duty military, which you know, which is less

595
00:31:03,680 --> 00:31:07,040
Speaker 18: desirable than National Guard for obvious reasons. That's why the

596
00:31:07,040 --> 00:31:10,600
Speaker 18: Pascamatanas Act was passed after the Civil War. I think

597
00:31:10,600 --> 00:31:13,040
Speaker 18: you're going to have more lawlessness and Democrat run cities,

598
00:31:13,320 --> 00:31:16,600
Speaker 18: you know, which may help Republicans in the midterms. And frankly,

599
00:31:16,720 --> 00:31:20,720
Speaker 18: sometimes you need to let people feel the heart, reap

600
00:31:20,760 --> 00:31:23,320
Speaker 18: the harvest of the seeds that they sow. Sometimes those

601
00:31:23,360 --> 00:31:25,880
Speaker 18: are foolish seeds and you reap a harvest of foolishness.

602
00:31:26,600 --> 00:31:29,560
Speaker 18: So so there's gonna be some long term repercussions here.

603
00:31:29,560 --> 00:31:31,680
Speaker 18: We'll see, We'll see how it plays out. But you

604
00:31:31,680 --> 00:31:35,320
Speaker 18: asked previously about New Orleans. In Louisiana, that's a little

605
00:31:35,320 --> 00:31:38,120
Speaker 18: bit different case because in that situation, the governor asked,

606
00:31:38,480 --> 00:31:42,600
Speaker 18: actually requested the Trump administration to federalize National Guard and

607
00:31:42,680 --> 00:31:46,040
Speaker 18: to help out. And so whereas Governor Landry asked for help,

608
00:31:46,080 --> 00:31:50,120
Speaker 18: Governor Pritzker did not and and fighting it. And there's

609
00:31:50,160 --> 00:31:55,160
Speaker 18: a different legal status for for each of those scenarios

610
00:31:55,240 --> 00:31:58,280
Speaker 18: under the under federal law and the Insurrection Acts specifically.

611
00:31:59,680 --> 00:32:03,520
Speaker 1: And go figure, you have Republican leadership in Louisiana and

612
00:32:03,560 --> 00:32:07,440
Speaker 1: not so not so much in Illinois, and so Republicans

613
00:32:07,480 --> 00:32:11,040
Speaker 1: again asking for the help the other out all of this.

614
00:32:11,120 --> 00:32:12,280
Speaker 3: I guess Congress.

615
00:32:11,880 --> 00:32:14,880
Speaker 1: Could act and pass legislatively and give President Trump the

616
00:32:14,880 --> 00:32:17,840
Speaker 1: power to do this and then override the act that

617
00:32:17,880 --> 00:32:18,520
Speaker 1: you mentioned.

618
00:32:20,160 --> 00:32:21,920
Speaker 12: Certainly, that's that's a possibility.

619
00:32:21,960 --> 00:32:24,160
Speaker 18: Whether they could get something like that done in a

620
00:32:24,240 --> 00:32:27,160
Speaker 18: year with midterm elections coming up, you know, that's debatable.

621
00:32:27,520 --> 00:32:30,560
Speaker 18: I think they're probably going to boot kick kick the

622
00:32:30,600 --> 00:32:33,680
Speaker 18: can down the road and let the president deal with

623
00:32:33,720 --> 00:32:35,440
Speaker 18: this one on his own and the and the political

624
00:32:35,480 --> 00:32:36,400
Speaker 18: repercussions from it.

625
00:32:37,520 --> 00:32:38,440
Speaker 3: All right, So you're.

626
00:32:38,320 --> 00:32:40,880
Speaker 1: Running for a United States Senate seat in West Virginia.

627
00:32:40,960 --> 00:32:43,400
Speaker 1: Tom Willis, tell people where they can find you and

628
00:32:43,440 --> 00:32:43,960
Speaker 1: help you out.

629
00:32:45,080 --> 00:32:47,360
Speaker 18: I appreciate it, Grant, Thanks for having me on. You

630
00:32:47,360 --> 00:32:49,680
Speaker 18: can find out more about me at Tom Willis dot com.

631
00:32:50,680 --> 00:32:53,080
Speaker 1: All right, Tom, here, I'm gonna I'm gonna ask you

632
00:32:53,840 --> 00:32:56,440
Speaker 1: one one major question. I ask all of these candidates.

633
00:32:56,440 --> 00:33:00,000
Speaker 1: All right, Tom Willis dot com. If you win, don't

634
00:33:00,080 --> 00:33:02,240
Speaker 1: big time me and not come back on the show anymore.

635
00:33:02,440 --> 00:33:04,239
Speaker 1: All Right, we'll get you on a lot leading up

636
00:33:04,240 --> 00:33:05,760
Speaker 1: to the election, but if you win, you got to

637
00:33:05,800 --> 00:33:06,280
Speaker 1: come back on.

638
00:33:07,320 --> 00:33:10,600
Speaker 12: Give you my word, I'll be on alright.

639
00:33:10,160 --> 00:33:10,880
Speaker 3: Thank you, buddy.

640
00:33:11,120 --> 00:33:13,840
Speaker 1: I'm just teasing them a little bit, But actually I'm not.

641
00:33:14,000 --> 00:33:17,360
Speaker 1: That happens a lot, especially with senators. Not so much

642
00:33:17,400 --> 00:33:20,200
Speaker 1: with members of Congress, but senators, they'll we use this

643
00:33:20,320 --> 00:33:23,400
Speaker 1: all the time, and then they win and they disappear.

644
00:33:23,760 --> 00:33:28,080
Speaker 1: All right, folks, myth busted illegal aliens do commit crimes

645
00:33:28,560 --> 00:33:31,240
Speaker 1: at a higher rate than US citizens.

646
00:33:31,600 --> 00:33:41,840
Speaker 3: We we'll get into there next. Welcome back everyone.

647
00:33:42,360 --> 00:33:45,560
Speaker 1: President Trump deserves a big time salute and tip of

648
00:33:45,560 --> 00:33:48,840
Speaker 1: the cap. Crime is down and virtually all categories since

649
00:33:48,880 --> 00:33:51,440
Speaker 1: he has burst onto the scene. I think in large

650
00:33:51,480 --> 00:33:54,800
Speaker 1: part due to his mass deportation plan and of course

651
00:33:55,200 --> 00:33:58,240
Speaker 1: going out there and capturing criminals. From an FBI standpoint,

652
00:33:58,240 --> 00:34:01,720
Speaker 1: look at his graphic twenty three point two percent decrease

653
00:34:01,840 --> 00:34:07,240
Speaker 1: in motor vehicle theft, nineteen percent in murder eighteen percent, robbery,

654
00:34:07,360 --> 00:34:12,720
Speaker 1: fourteen percent, burglary twelve percent decrease in property crime, violent

655
00:34:12,800 --> 00:34:16,040
Speaker 1: crime down ten percent, theft and rape both down almost

656
00:34:16,120 --> 00:34:19,360
Speaker 1: nine percent, Aggravated assault down about seven and a half percent.

657
00:34:19,760 --> 00:34:22,239
Speaker 1: These folks are amazing numbers. And it goes back to

658
00:34:22,360 --> 00:34:26,160
Speaker 1: I believe the illegal aliens that are here in the

659
00:34:26,239 --> 00:34:29,320
Speaker 1: United States and the revolving door in our prison system.

660
00:34:29,360 --> 00:34:32,120
Speaker 3: Now, thanks to our friend John Lott over.

661
00:34:31,960 --> 00:34:36,040
Speaker 1: At the Crime Prevention Research Center, we figured out something

662
00:34:36,640 --> 00:34:38,400
Speaker 1: and we're figuring a lot more. We'll bring him on

663
00:34:38,480 --> 00:34:40,920
Speaker 1: to talk about it. But you know, Democrats love to

664
00:34:40,920 --> 00:34:44,040
Speaker 1: skew the numbers, so they'll tell you that immigrants to

665
00:34:44,120 --> 00:34:48,360
Speaker 1: the United States don't commit crimes, that they're law abiding.

666
00:34:49,000 --> 00:34:55,000
Speaker 1: The problem is they're including legal immigrants with illegal immigrants

667
00:34:55,080 --> 00:34:58,600
Speaker 1: and legal immigrants to their credit. Legal with an l

668
00:35:00,040 --> 00:35:03,160
Speaker 1: commit far fewer crimes than illegals do. So this brings

669
00:35:03,200 --> 00:35:05,560
Speaker 1: the number data. If you only include illegals, the number

670
00:35:05,840 --> 00:35:08,520
Speaker 1: goes through the roof. Joining me now to talk about

671
00:35:08,520 --> 00:35:10,239
Speaker 1: this is a man I just mentioned. The president of

672
00:35:10,239 --> 00:35:13,000
Speaker 1: the Crime Prevention Research Center, doctor John Lott, is with us.

673
00:35:13,400 --> 00:35:14,719
Speaker 3: John. It's great to have you back on.

674
00:35:15,719 --> 00:35:16,680
Speaker 19: It's great to talk to you.

675
00:35:16,880 --> 00:35:19,560
Speaker 3: Happy New Year, Happy New Year to you too.

676
00:35:19,719 --> 00:35:23,359
Speaker 1: So this is how they cherry pick numbers, lumping one

677
00:35:23,400 --> 00:35:26,360
Speaker 1: group in with a number, excus the data overall.

678
00:35:26,400 --> 00:35:28,040
Speaker 3: What did you find, John.

679
00:35:29,160 --> 00:35:31,759
Speaker 19: Well, what we looked at was the prison system and

680
00:35:31,880 --> 00:35:36,440
Speaker 19: jail system in New York State, and ICE has seven

681
00:35:37,080 --> 00:35:40,400
Speaker 19: one hundred and thirteen detainers for those who are currently

682
00:35:40,440 --> 00:35:43,600
Speaker 19: incarcerated in New York. And that turns out to be

683
00:35:43,960 --> 00:35:48,239
Speaker 19: fourteen percent of all those that are incarcerated. If you

684
00:35:48,320 --> 00:35:52,000
Speaker 19: compare that to the percentage of the general population, which

685
00:35:52,040 --> 00:35:55,959
Speaker 19: our illegal aliens is estimated about four percent, So that's

686
00:35:56,680 --> 00:36:01,680
Speaker 19: almost three and a half times more representation in terms

687
00:36:01,719 --> 00:36:05,520
Speaker 19: of those who are incarcerated compared to the general population.

688
00:36:05,960 --> 00:36:11,160
Speaker 1: John, I believe the number may even be bigger because

689
00:36:11,239 --> 00:36:15,759
Speaker 1: New York, if I'm correct, does not ask immigration status.

690
00:36:16,040 --> 00:36:18,480
Speaker 1: So these are only the ones that the federal government

691
00:36:18,480 --> 00:36:21,319
Speaker 1: actually knows. They could have a whole slow more and

692
00:36:21,440 --> 00:36:24,800
Speaker 1: probably do that they didn't even ask the immigration status self.

693
00:36:25,840 --> 00:36:28,200
Speaker 19: Right, I mean, there are multiple reasons for believing that

694
00:36:28,280 --> 00:36:29,520
Speaker 19: this is an underestimate.

695
00:36:29,560 --> 00:36:30,640
Speaker 3: You're raising. One.

696
00:36:31,120 --> 00:36:35,640
Speaker 19: Obviously, New York's not assisting ICE in evaluating whether these

697
00:36:35,920 --> 00:36:39,279
Speaker 19: the people in their jails and prisons are illegals or not.

698
00:36:39,920 --> 00:36:45,400
Speaker 19: But there's another problem that is many illegals are taken

699
00:36:45,400 --> 00:36:48,840
Speaker 19: into custody by ICE when they've been arrested for crimes

700
00:36:49,000 --> 00:36:53,040
Speaker 19: or charged with crimes or convicted, even before they get

701
00:36:53,080 --> 00:36:55,440
Speaker 19: to prison, and so they never show up. You know,

702
00:36:55,480 --> 00:36:58,920
Speaker 19: you have two robbers. One is an American who commits

703
00:36:58,920 --> 00:37:03,000
Speaker 19: a robbery going to prison. An illegal alien may be

704
00:37:03,160 --> 00:37:06,520
Speaker 19: removed before he gets to prison, and so looking at

705
00:37:06,560 --> 00:37:11,680
Speaker 19: the jail and prison populations will underestimate their share. Plus

706
00:37:12,120 --> 00:37:15,520
Speaker 19: in many cases, even when they are in prison, ICE

707
00:37:15,640 --> 00:37:18,759
Speaker 19: will go and deport them before the end of their

708
00:37:18,800 --> 00:37:22,760
Speaker 19: prison sentences. New York will not allow that to happen.

709
00:37:23,040 --> 00:37:27,960
Speaker 19: In fact, earlier this year, after January twentieth, they had

710
00:37:28,560 --> 00:37:34,520
Speaker 19: released almost seven thousand illegals, including murderers and child rapists

711
00:37:34,560 --> 00:37:38,520
Speaker 19: and other violent criminals and other crimes that they had

712
00:37:38,560 --> 00:37:43,240
Speaker 19: released and would not let ICE pick them up. Even

713
00:37:43,320 --> 00:37:45,839
Speaker 19: when they were released, they were just released back into

714
00:37:45,840 --> 00:37:49,680
Speaker 19: the general population there. And so there are multiple reasons

715
00:37:49,719 --> 00:37:55,320
Speaker 19: for believing that that fourteen percent dramatically underestimates the total.

716
00:37:56,239 --> 00:37:58,080
Speaker 19: Maybe not as much as it would if you were

717
00:37:58,120 --> 00:38:02,560
Speaker 19: to look at some other state like Texas, which works

718
00:38:03,480 --> 00:38:07,960
Speaker 19: closely with ICE in terms of deporting criminals, but would

719
00:38:08,040 --> 00:38:09,359
Speaker 19: still underestimate it.

720
00:38:10,960 --> 00:38:14,759
Speaker 1: So it looks to me that illegal aliens, according to

721
00:38:14,800 --> 00:38:17,359
Speaker 1: the data you saw in New York, commit crimes at

722
00:38:17,400 --> 00:38:20,520
Speaker 1: a much higher rate than other populations. Now, I don't

723
00:38:20,520 --> 00:38:22,880
Speaker 1: know whether it was intended or unintended, but one of

724
00:38:22,920 --> 00:38:27,040
Speaker 1: the other takeaways for me is something that I've been arguing,

725
00:38:27,520 --> 00:38:30,040
Speaker 1: I'm okay with legal immigration.

726
00:38:30,200 --> 00:38:32,439
Speaker 3: Providing your coming from a country.

727
00:38:32,120 --> 00:38:34,960
Speaker 1: Where you can be vetted and we know who's coming,

728
00:38:35,320 --> 00:38:39,759
Speaker 1: I'm all for legal immigration. This proves that legal immigrants

729
00:38:40,960 --> 00:38:43,680
Speaker 1: do not really commit crimes in a very big way.

730
00:38:43,760 --> 00:38:44,399
Speaker 3: Correct. Job.

731
00:38:45,600 --> 00:38:48,960
Speaker 19: Well, this data really doesn't break it down by legal

732
00:38:49,080 --> 00:38:52,000
Speaker 19: versus illegal. I mean, doesn't tell me anything about the

733
00:38:52,040 --> 00:38:55,040
Speaker 19: number of legal immigrants. I just know the number of

734
00:38:55,080 --> 00:38:58,719
Speaker 19: people here who are here illegally, and as we say,

735
00:38:58,719 --> 00:39:01,840
Speaker 19: that's an underestimate. One thing that we found that was

736
00:39:01,880 --> 00:39:05,480
Speaker 19: interesting is just the costs. You know, the most conservative

737
00:39:05,600 --> 00:39:08,239
Speaker 19: estimate for the state of New York is that it

738
00:39:08,280 --> 00:39:12,040
Speaker 19: costs about a billion dollars, at least a billion dollars

739
00:39:12,080 --> 00:39:16,960
Speaker 19: a year to go and house these criminals in jails

740
00:39:16,960 --> 00:39:19,480
Speaker 19: and prisons in the state. You know, that's a billion

741
00:39:19,520 --> 00:39:22,319
Speaker 19: dollars that they could save if they would just let

742
00:39:22,400 --> 00:39:25,840
Speaker 19: ice go and deport those individuals that they have locked

743
00:39:25,920 --> 00:39:27,799
Speaker 19: up and have convicted of crimes.

744
00:39:28,480 --> 00:39:30,200
Speaker 3: Is that a billion just for New York?

745
00:39:30,280 --> 00:39:33,719
Speaker 19: John, that's just for New York. And that's a very

746
00:39:33,760 --> 00:39:39,320
Speaker 19: conservative estimate because we don't know what portion of those

747
00:39:39,920 --> 00:39:42,960
Speaker 19: individuals are in jails and what portion are in prisons.

748
00:39:43,960 --> 00:39:47,719
Speaker 19: Prisons tend to cost less for housing people than the

749
00:39:47,800 --> 00:39:50,680
Speaker 19: jails do, and so if you just assume all of

750
00:39:50,760 --> 00:39:53,280
Speaker 19: them were in prison, which is obviously not the case,

751
00:39:54,480 --> 00:39:57,759
Speaker 19: you would get a lower number. And that's where the

752
00:39:58,239 --> 00:40:00,520
Speaker 19: one billion is. It could be as high is one

753
00:40:00,560 --> 00:40:01,799
Speaker 19: point four billion a year.

754
00:40:02,760 --> 00:40:05,640
Speaker 1: Wow, it's amazing stuff. I know you wrote a piece

755
00:40:05,680 --> 00:40:07,200
Speaker 1: for the New York Post. I urge everyone to go

756
00:40:07,239 --> 00:40:09,319
Speaker 1: out there and read it. It's always fascinating when you

757
00:40:09,320 --> 00:40:12,040
Speaker 1: break down the numbers for us, doctor John Lott, Crime

758
00:40:12,080 --> 00:40:13,080
Speaker 1: Prevention Research Center.

759
00:40:13,080 --> 00:40:14,680
Speaker 3: We appreciate you coming on. Make sure you have a

760
00:40:14,680 --> 00:40:16,799
Speaker 3: happy New Year, John, Happy new Year.

761
00:40:16,840 --> 00:40:19,680
Speaker 19: People can find the piece and everything else, said our

762
00:40:19,719 --> 00:40:24,239
Speaker 19: website at crimeresearch dot org. Crimeresearch dot org G. Thank

763
00:40:24,280 --> 00:40:24,640
Speaker 19: you very.

764
00:40:24,600 --> 00:40:27,879
Speaker 3: Much, absolutely, John, Crimeresearch dot org.

765
00:40:28,520 --> 00:40:31,120
Speaker 1: Check it out all right, folks, It is time to

766
00:40:31,280 --> 00:40:34,800
Speaker 1: trade the quick fix for a sustainable solution.

767
00:40:35,600 --> 00:40:38,560
Speaker 3: We talk about your health in the new year. That's next.

768
00:40:47,600 --> 00:40:49,400
Speaker 1: Listen up, folks, how many times you made a New

769
00:40:49,480 --> 00:40:52,520
Speaker 1: Year's resolution You'll lose the way you start working out.

770
00:40:52,560 --> 00:40:56,480
Speaker 1: You're gonna go on this diet and you fail. I'll

771
00:40:56,480 --> 00:40:58,880
Speaker 1: bet you a lot if you're like me, It's happened

772
00:40:59,080 --> 00:41:00,840
Speaker 1: until I found energized health.

773
00:41:01,160 --> 00:41:01,600
Speaker 3: Watch this.

774
00:41:02,239 --> 00:41:04,920
Speaker 16: I am tickled to death. I feel better than I

775
00:41:05,000 --> 00:41:08,239
Speaker 16: have in years. I went from being on nozempic for

776
00:41:08,320 --> 00:41:12,319
Speaker 16: thirteen years and having lost all my body strength, my

777
00:41:12,480 --> 00:41:16,680
Speaker 16: digestive systems working properly again. Things are back to normal

778
00:41:16,760 --> 00:41:19,279
Speaker 16: and I can't believe I'm getting my life back. That

779
00:41:19,440 --> 00:41:22,200
Speaker 16: was my biggest goal. When I did the five five five.

780
00:41:22,320 --> 00:41:25,200
Speaker 16: We had a long conversation. You told me that you

781
00:41:25,200 --> 00:41:26,840
Speaker 16: could help me, and you have.

782
00:41:27,239 --> 00:41:29,919
Speaker 20: Thank God, brother that we got connected, because now you're

783
00:41:29,920 --> 00:41:31,880
Speaker 20: going to live a long, powerful life.

784
00:41:31,960 --> 00:41:34,640
Speaker 16: I'm finally off of it, and that's what I wanted

785
00:41:34,680 --> 00:41:35,040
Speaker 16: to do.

786
00:41:37,320 --> 00:41:39,919
Speaker 3: I'm gonna tell you something right now, folks, No matter

787
00:41:39,960 --> 00:41:44,280
Speaker 3: what you take away today, this ozempic, these GLP ones,

788
00:41:44,360 --> 00:41:47,719
Speaker 3: they are bad news. They eat your muscle away. Not good.

789
00:41:47,920 --> 00:41:50,279
Speaker 1: And I'll tell you this New Year's resolutions are great.

790
00:41:50,320 --> 00:41:52,160
Speaker 1: You got to find a way to stick to one.

791
00:41:52,280 --> 00:41:55,000
Speaker 1: I have a solution for you. It is energized health.

792
00:41:55,040 --> 00:41:57,520
Speaker 1: I lost fifteen pounds in two weeks, an eighty eight

793
00:41:57,640 --> 00:42:00,720
Speaker 1: day program that literally changed my life and has continued

794
00:42:00,760 --> 00:42:03,040
Speaker 1: to change my life. I want to bring in the founder,

795
00:42:03,160 --> 00:42:05,440
Speaker 1: our good friend, John Jubilee is with us. John, welcome

796
00:42:05,480 --> 00:42:14,480
Speaker 1: to the program. All right, John, so a sustainable solution.

797
00:42:14,760 --> 00:42:17,960
Speaker 1: I'm sure you got plenty of clients who said, you

798
00:42:18,000 --> 00:42:20,359
Speaker 1: know what, I tried every fad diet out there. None

799
00:42:20,360 --> 00:42:22,360
Speaker 1: of them worked, or they worked for a few weeks.

800
00:42:22,400 --> 00:42:26,000
Speaker 1: But you have the answer. Tell me about it.

801
00:42:26,920 --> 00:42:30,080
Speaker 20: Well, well, Graat, and I want to encourage people today

802
00:42:30,160 --> 00:42:33,520
Speaker 20: that listen, every one of us, every one of us

803
00:42:33,520 --> 00:42:37,160
Speaker 20: has made New Year's resolutions, and we've failed our New

804
00:42:37,200 --> 00:42:40,879
Speaker 20: Year's resolution year after year after year after year. That

805
00:42:41,080 --> 00:42:43,880
Speaker 20: is ninety nine percent of every one of us in

806
00:42:43,920 --> 00:42:46,279
Speaker 20: the United States of America.

807
00:42:46,320 --> 00:42:48,160
Speaker 3: But I got some good news for you today.

808
00:42:48,200 --> 00:42:52,759
Speaker 20: You know, how would you like to make one last

809
00:42:53,200 --> 00:42:56,759
Speaker 20: last New Year's resolution? Because I'm going to encourage you

810
00:42:56,800 --> 00:42:59,760
Speaker 20: today if you'll join us, if you'll join us January

811
00:42:59,760 --> 00:43:02,000
Speaker 20: fifth for a five to five to five challenge, this

812
00:43:02,040 --> 00:43:05,680
Speaker 20: will be the last New Year's resolution that you ever make.

813
00:43:05,800 --> 00:43:09,239
Speaker 20: So we have tens of thousands of people just like

814
00:43:09,320 --> 00:43:13,680
Speaker 20: what you said. Every year they tried every kind of diet,

815
00:43:13,840 --> 00:43:17,319
Speaker 20: every kind of program, every kind of supplement. Nothing was

816
00:43:17,400 --> 00:43:22,520
Speaker 20: ever sustainable until they did the energized health protocol and

817
00:43:22,560 --> 00:43:25,640
Speaker 20: then they got their best health and they lost all

818
00:43:25,680 --> 00:43:27,320
Speaker 20: their pat.

819
00:43:26,840 --> 00:43:28,640
Speaker 1: All right, what I love right now is at the

820
00:43:28,680 --> 00:43:31,120
Speaker 1: beginning of the year, you have this my five to

821
00:43:31,239 --> 00:43:31,480
Speaker 1: five to.

822
00:43:31,600 --> 00:43:32,840
Speaker 3: Five challenge coming up.

823
00:43:32,880 --> 00:43:35,680
Speaker 1: You don't always do them, but this is a five

824
00:43:35,800 --> 00:43:40,839
Speaker 1: day health reset, five days, five dollars, five pounds guaranteed.

825
00:43:42,480 --> 00:43:43,800
Speaker 3: Why is this so important?

826
00:43:43,840 --> 00:43:45,799
Speaker 1: And it seems to me like it's a great way

827
00:43:45,840 --> 00:43:48,400
Speaker 1: to get off on the right foot coming off of

828
00:43:48,400 --> 00:43:49,360
Speaker 1: the holiday season.

829
00:43:50,239 --> 00:43:52,799
Speaker 20: Well, what's so great about it is, Look, guys, my

830
00:43:52,880 --> 00:43:54,799
Speaker 20: wife and I will be with you about forty five

831
00:43:54,840 --> 00:43:56,200
Speaker 20: minutes a day for five days.

832
00:43:56,239 --> 00:43:57,760
Speaker 3: We walked through all this science.

833
00:43:58,760 --> 00:44:02,360
Speaker 20: Why did you fail on every other diet, every other expert?

834
00:44:02,480 --> 00:44:06,280
Speaker 20: Why did you fail? What is the science behind failing?

835
00:44:06,719 --> 00:44:09,280
Speaker 20: And what is the science that will cause you to succeed?

836
00:44:09,400 --> 00:44:12,279
Speaker 20: So will help you learn what not to ever do

837
00:44:12,400 --> 00:44:15,120
Speaker 20: again and what to do for the rest of your life.

838
00:44:15,560 --> 00:44:17,600
Speaker 20: And when you heard this gentleman say, he had a

839
00:44:17,640 --> 00:44:20,840
Speaker 20: conversation with me. If you guys up level to the VIP,

840
00:44:21,719 --> 00:44:24,320
Speaker 20: you get to have one on one conversations with Chelsea

841
00:44:24,360 --> 00:44:27,160
Speaker 20: and I in that VIP and we fed x you

842
00:44:27,400 --> 00:44:30,680
Speaker 20: a scale and Grant has this scale. It measures your

843
00:44:30,719 --> 00:44:35,000
Speaker 20: metabolic gauge, your visceral, your subcutaneous fat, but most importantly

844
00:44:35,080 --> 00:44:38,040
Speaker 20: it measures your hydration, so you know where you are.

845
00:44:38,080 --> 00:44:40,239
Speaker 20: And guys, it's less than a hundred bucks. So I

846
00:44:40,239 --> 00:44:43,839
Speaker 20: would really encourage you get yourself in the VIP. Make

847
00:44:43,920 --> 00:44:47,040
Speaker 20: this your last New Year's resolution that you ever do.

848
00:44:48,000 --> 00:44:50,600
Speaker 20: But if the most you're investing either five dollars or

849
00:44:50,680 --> 00:44:53,160
Speaker 20: ninety nine dollars if you want all the extra time

850
00:44:53,400 --> 00:44:56,799
Speaker 20: and the medical device that will measure all of your

851
00:44:56,840 --> 00:44:58,160
Speaker 20: health markers that you need to know.

852
00:44:59,000 --> 00:45:01,360
Speaker 1: Well, you know I've told you many times before. I

853
00:45:01,480 --> 00:45:05,680
Speaker 1: use that device every day to measure all those markers

854
00:45:05,760 --> 00:45:08,120
Speaker 1: because it really gives me a good indication of where

855
00:45:08,160 --> 00:45:11,879
Speaker 1: I'm going. So that makes sense. And look coming away

856
00:45:11,920 --> 00:45:15,040
Speaker 1: with losing five pounds in five days, you can't go wrong. John,

857
00:45:15,040 --> 00:45:16,200
Speaker 1: I'll give you the last word here.

858
00:45:17,760 --> 00:45:19,960
Speaker 20: Well again, listen, I just want to encourage you, guys,

859
00:45:20,360 --> 00:45:23,880
Speaker 20: if you want to have your best health, your best energy,

860
00:45:24,000 --> 00:45:27,440
Speaker 20: your best strength, and have something that sustainable.

861
00:45:28,400 --> 00:45:30,280
Speaker 3: You know, do a little bit of research. Guys.

862
00:45:30,320 --> 00:45:35,360
Speaker 20: We have tens of thousands of documented successful people that

863
00:45:35,440 --> 00:45:39,200
Speaker 20: they had tried everything, but this is what changed their life.

864
00:45:39,600 --> 00:45:41,640
Speaker 20: So come on, you got nothing to lose, you got

865
00:45:41,680 --> 00:45:43,720
Speaker 20: everything to gain. We put our money where.

866
00:45:43,560 --> 00:45:44,120
Speaker 3: Our mouth is.

867
00:45:44,160 --> 00:45:46,840
Speaker 20: We one hundred percent money back guarantee everything we do

868
00:45:46,880 --> 00:45:47,880
Speaker 20: at Energize Health.

869
00:45:48,800 --> 00:45:52,080
Speaker 1: Well, it's so great, and John, I'll back them up.

870
00:45:52,080 --> 00:45:53,759
Speaker 1: They can go do all the research they want. But

871
00:45:53,800 --> 00:45:55,800
Speaker 1: if they are members in Shield's Army and they're watching

872
00:45:55,840 --> 00:45:57,680
Speaker 1: this program, just trust me.

873
00:45:57,920 --> 00:45:58,600
Speaker 3: I went through it.

874
00:45:58,640 --> 00:46:01,319
Speaker 1: I went through the whole program and I'm still utilizing

875
00:46:01,360 --> 00:46:04,399
Speaker 1: the Energized Health program. And you asked me a fifty six,

876
00:46:04,480 --> 00:46:08,680
Speaker 1: I look pretty good, John, I forget sixty something, sixty

877
00:46:08,760 --> 00:46:12,600
Speaker 1: five maybe sixty sixty to five and looking good.

878
00:46:12,760 --> 00:46:14,800
Speaker 3: So that's what it can do for you. John, Happy

879
00:46:14,840 --> 00:46:15,400
Speaker 3: New Year to you.

880
00:46:15,520 --> 00:46:18,040
Speaker 1: Thanks for your support of this program and helping so

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00:46:18,160 --> 00:46:19,920
Speaker 1: many of us get healthy.

882
00:46:21,200 --> 00:46:24,160
Speaker 20: Well, thank you again, Grant, and I'm looking forward. Grant,

883
00:46:24,239 --> 00:46:27,480
Speaker 20: Let's get Stitchfield's Army right. It'll be like going to

884
00:46:27,680 --> 00:46:30,040
Speaker 20: come on, guys, be the easiest basic training you ever

885
00:46:30,120 --> 00:46:32,840
Speaker 20: did that myfive five five challenge dot com.

886
00:46:33,719 --> 00:46:36,200
Speaker 3: I love it, Thanks John. All Right, here's what you do, folks.

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00:46:36,840 --> 00:46:40,200
Speaker 1: To start this five day health reset with energized health,

888
00:46:40,440 --> 00:46:43,560
Speaker 1: go to my five five five challenge dot com. For

889
00:46:43,640 --> 00:46:46,000
Speaker 1: only five dollars, you can be guaranteed to lose five

890
00:46:46,000 --> 00:46:50,320
Speaker 1: pounds of five days. The next session begins January fifth.

891
00:46:50,680 --> 00:46:54,360
Speaker 1: That's my five five five challenge dot com.

892
00:46:54,640 --> 00:46:54,880
Speaker 3: All right.

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00:46:54,920 --> 00:46:57,320
Speaker 1: One hundred and four year old World War two vet

894
00:46:57,719 --> 00:47:13,480
Speaker 1: shows off his outstanding patriotism. It's next, folks, I want

895
00:47:13,480 --> 00:47:17,879
Speaker 1: you to check this out. Dominic Critelli, one hundred and

896
00:47:17,920 --> 00:47:23,000
Speaker 1: four years old performs the national anthem at the New

897
00:47:23,080 --> 00:47:25,680
Speaker 1: York Islanders game. One hundred and four years old. He's

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00:47:25,719 --> 00:47:29,080
Speaker 1: a World War Two veteran. God bless him. There are

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00:47:29,120 --> 00:47:32,680
Speaker 1: not many of them left, not many playing the national

900
00:47:32,680 --> 00:47:36,359
Speaker 1: anthem on a saxophone either way. To go, Dominic, God

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00:47:36,440 --> 00:47:40,280
Speaker 1: bless you, my friend. That's gonna do it for us tonight.

902
00:47:40,400 --> 00:47:43,239
Speaker 1: Stinsfield's Army Roles. Thanks to all of you. Happy New

903
00:47:43,360 --> 00:47:45,440
Speaker 1: Year everybody. We'll see you back here tomorrow night