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Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George

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Speaker 1: Washington Broadcast Center, Jack arms Strong, Joe Caddy.

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Speaker 2: Arm Strong and Jetty and now he Armstrong and Catty

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Speaker 2: Strong and Coruple loves these these rich Arab guys.

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Speaker 3: They set up a mobile McDonald's. There a little different

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Speaker 3: over there, the McDonald's. The happy meal toy is a

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Speaker 3: little bone.

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Speaker 2: Saw made me laugh? Did you write them that joke?

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Speaker 2: Here's the funniest thing I thought that happened on the

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Speaker 2: Saturday Night Live Open with the guy who does Trump.

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Speaker 3: He was talking about.

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Speaker 2: Anyway abidabbi abi dabbi abi dabbi do like the late

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Speaker 2: great friends Flintstone. I thought that was so funny, eh boy,

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Speaker 2: the late great Fred Flintstone. So I saw then news

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Speaker 2: yesterday that they were going to have a voting session

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Speaker 2: on the Big Beautiful Bill at ten o'clock Sunday night,

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Speaker 2: And because it's the weekend and I'm a normal human being,

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Speaker 2: I didn't like take a second to look into that,

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Speaker 2: because I thought, what the hell kind of a procedural

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Speaker 2: deal is a Sunday night at ten o'clock thingy? But

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Speaker 2: I just did see that the four holdouts went along

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Speaker 2: with whatever, and it passed.

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Speaker 3: So there you go. Yeah, the four holdouts went along

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Speaker 3: with whatever is a pretty good description of it. I

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Speaker 3: will be a bit more detailed. And this is the

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Speaker 3: reason I'm disgusted and embittered. This is the most sausagey

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Speaker 3: of sausage making. If you're familiar with the old reference

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Speaker 3: to politics, here's your headline from the I'm going to

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Speaker 3: read you just a little bit because it's kind of

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Speaker 3: revealing of at least a couple of things. Trump's tax

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Speaker 3: and immigration bill clears Hurtle after late night vote to

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Speaker 3: the House Budget Committee, passed a massive tax and immigration

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Speaker 3: package central President Trump's agenda late Sunday, overcoming opposition from

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Speaker 3: hardline conservatives, overspending four fiscal conservatives, all deficit hawks aligned

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Speaker 3: with the old truck conservative House Freedom Caucus, changed their

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Speaker 3: vote to present, allowing the legislative monstrosity. I injected that

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Speaker 3: package to be recommended favorably to the House by a

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Speaker 3: vote of seventeen to sixteen. But there hesitance to vote

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Speaker 3: for the one Big Beautiful Bill Act out of committee

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Speaker 3: is a reminder that the far right flank of the

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Speaker 3: Republican Conference remains skeptical. I think I see where you're

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Speaker 3: going here.

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Speaker 2: Yeah.

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Speaker 3: Now, it could just be your typical wah PO journalistic bias,

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Speaker 3: although the wa poe has improved somewhat lately a little bit. Anyway,

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Speaker 3: I think it's unfortunately closer to true that I'm comfortable

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Speaker 3: with that there are only a handful of like lunatic

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Speaker 3: hard liners who are against the following headlines. This is

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Speaker 3: from the Richard Ruben wrighting in the Wall Street Journal.

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Speaker 3: The stark math on the GOP tax planet doesn't cut

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Speaker 3: the deficit. It grows the deficit. The Republican Party, with

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Speaker 3: both Houses of Congress and the White House, are going

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Speaker 3: to grow the deficit. It's undeniable. Next headline, National Review,

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Speaker 3: Republicans should stay the course on reducing medicaid spending. They're

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Speaker 3: not going to. They're running in the other direction, partly

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Speaker 3: because the incredibly smart calculating what is he up to?

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Speaker 2: Josh Cawley of Missouri.

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Speaker 3: Is all of a sudden, this is the guy now

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Speaker 3: who led the charge to repeal Obamacare. He's now out

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Speaker 3: shumering Schumer, saying that the the party's Wall Street wing,

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Speaker 3: a noisy contingent of corporist Republicans want to slash health

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Speaker 3: insurance for the working poor. Yeah, we mentioned that.

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Speaker 2: On Friday, he wrote that op ed piece that the

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Speaker 2: Republicans need to back off cutting medicare.

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Speaker 3: Any Well, it's a reform of Medicaid. Any reforms are

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Speaker 3: a hidden tax on working poor people. This is and

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Speaker 3: he's referring to a thirty five dollars copay for able

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Speaker 3: bodied adults covered by Obamacare Medicaid for a visit to

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Speaker 3: the doctor. Thirty five dollars copay is some sort of

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Speaker 3: hidden tax on working poor people.

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Speaker 2: And that's just the calculation that Republicans are now the

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Speaker 2: party of the working class, and they feel like they

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Speaker 2: got enough a working class that are on Medicaid that

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Speaker 2: they Josh Holley at least doesn't want to mess with it.

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Speaker 3: And a yeah, now the party of pandering to and

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Speaker 3: writing checks to people to win their votes.

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Speaker 2: Yeah. I was going to say that it's interesting they

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Speaker 2: call these people ultra conservative of right wing when not

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Speaker 2: very many years ago you would have been the center

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Speaker 2: of the Republican Party. I mean that would have been

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Speaker 2: I mean as like what the Republican Party was. It was,

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Speaker 2: it was, it was a term you would have used

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Speaker 2: to define the party.

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Speaker 3: In fact, it was so intrinsic to the Republican Party

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Speaker 3: you'd feel silly even repeating what you just repeated. Right,

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Speaker 3: no need fisically conservative.

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Speaker 2: But I suppose in reality, given where most of the

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Speaker 2: party is, they are ultra a right wing or ultra

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Speaker 2: conservative because the bulk of the party doesn't care apparently

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Speaker 2: and apparently not voters.

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Speaker 3: So spending your children, grandchildren into tax and spend oblivion.

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Speaker 2: Well all right, Well this story got repeated a lot

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Speaker 2: over the weekend that we got downgraded on one of

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Speaker 2: our credit scores by one of the major organizations that

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Speaker 2: does that sort of thing, and U over the weekend

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Speaker 2: it kind of got put out there that it was

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Speaker 2: like a Trump thing because of tariffs or whatever. It

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Speaker 2: was basically around the fact that our debt is just

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Speaker 2: so high. It's just like would happen to you if

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Speaker 2: you go to the bank and they take a look

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Speaker 2: at your well you've got with your car payments. Now

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Speaker 2: you bought like eight cars and two houses and you're

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Speaker 2: just overmaxed.

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Speaker 3: So you have eighty thousand dollars in credit card bills

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Speaker 3: and you only make ninety a year.

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Speaker 2: Right, right, So these dong grady because you just spend

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Speaker 2: more than you make. That's what happened that didn't happen

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Speaker 2: just in the last one hundred days under Trump. We've

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Speaker 2: been building this for a long time.

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Speaker 3: And the final reason I am completely embittered about the

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Speaker 3: Republican Party in politics and America and democracy and life

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Speaker 3: on Earth is the fact that, and it's a two

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Speaker 3: part horror show, Part number one is that there are

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Speaker 3: a bunch of swing district Republicans from big blue states

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Speaker 3: California and New York most notably, who are not only

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Speaker 3: trying to defend the idea of the salt deduction, the

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Speaker 3: state and local tax deduction, they want to raise it

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Speaker 3: from ten thousand dollars to at least thirty thousand dollars

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Speaker 3: and maybe fifty thousand dollars. Meaning if you live in

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Speaker 3: a tax and spend lunatic state like say California, all

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Speaker 3: of those incredibly high taxes you're paying you can deduct

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Speaker 3: from your federal tax return. So the other states will

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Speaker 3: subsidize the tax and spend lunacy of New York and California.

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Speaker 3: So my brothers in Kansas pay some of my taxes

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Speaker 3: because I live in California. That makes sense. Yeah, you

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Speaker 3: get a giant subsidy from the other states, you pay

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Speaker 3: a lower federal tax rate, significantly lower depending on how

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Speaker 3: much money you make than folks in fiscally responsible states,

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Speaker 3: and is indefensible morally. It's indefensible as for Republican reason,

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Speaker 3: not the party, but the idea of we have a

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Speaker 3: federal system than states, and the states can do what

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Speaker 3: they want, and they should what they want. You're fine,

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Speaker 3: if Massachusetts wants to have a sixty five percent income tax,

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Speaker 3: go ahead.

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Speaker 2: I'm not living there, but go ahead.

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Speaker 3: But then to transfer that profligacy to the other states

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Speaker 3: is it's a horror. And as a conservative slash Republican,

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Speaker 3: he says, trying not to vomit because of my embitteredness,

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Speaker 3: the idea that that is a plank of the Republican Party.

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Speaker 3: I'm done. It's it's hard to swallow.

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Speaker 2: I mean, you know, it would help Joe and I

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Speaker 2: if this happens financially, but it's awful, absolutely awful.

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Speaker 3: I believe you can't defend it. No, it's it's it's

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Speaker 3: I am horrified. I don't care how much it would

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Speaker 3: benefit me. God bless me. I have principles. It's really

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Speaker 3: held me back in life Jack too. I just I'm done.

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Speaker 3: I'm done. Yeah, it's well.

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Speaker 2: Like I said last week, Sarah Asger of The Dispatch,

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Speaker 2: I heard her on a podcast, They're having this discussion

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Speaker 2: about party and she said, there are no political parties.

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Speaker 3: What are we talking about here? Yeah? I need to

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Speaker 3: seek that out because I think she nailed.

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Speaker 2: Absolutely one hundred percent. There are no political parties. There's

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Speaker 2: just whoever emerges as the candidate, cycle by cycle, and

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Speaker 2: then whatever they believe, the party goes along with.

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Speaker 3: And it's through on both sides.

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Speaker 2: So the idea that there are parties that stand for something,

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Speaker 2: we need to all move past.

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Speaker 3: That. From my hero hl Menken, every election is a

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Speaker 3: sort of advance auction sale of stolen goods. That's always

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Speaker 3: been true. There was a time when a certain party

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Speaker 3: had certain principles that I admired. Do you have times passed?

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Speaker 3: You know what my high school sweetheart, college sweetheart, my

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Speaker 3: wife of forty years is. When she's not turning tricks,

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Speaker 3: she's killing people for the mob. Okay, she's not the one,

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Speaker 3: And I felt that this is by the way, fictional

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Speaker 3: illustration has nothing to do with my beloved bride, Judith.

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Speaker 3: She's not the person she was. You can forget it.

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Speaker 2: It's over, So move on, Get up, get an AI.

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Speaker 3: Girlfriend like a normal person and a love bond or

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Speaker 3: something I girlfriend like a normal person.

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Speaker 4: Face Jack Armstrong and Joe Gretty The Armstrong and Getty Show,

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Speaker 4: Jack Armstrong and Joe Getty The Armstrong and Getty Show.

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Speaker 3: Yet another one of these? Do they run this quarterly?

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Speaker 3: Is it some sort of requirement warning issue to anyone

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Speaker 3: using this smiley face emoji to older people, not gen Z.

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Speaker 3: A smile face means you're conveying that you're happy, Yeah,

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Speaker 3: but gen Z takes this grinning face to convey sarcasm

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Speaker 3: or irony. And then it has the inevitable twenty three

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Speaker 3: year old employee who says, at first I thought my

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Speaker 3: coarchers were being culled and sarcastic to me, And then

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Speaker 3: I realized when they send a thumbs up, they really

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Speaker 3: mean thumbs up, because he is it sarcastically and the

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Speaker 3: tone of the article is always Therefore, you you older

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Speaker 3: people really ought to be careful and they should.

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Speaker 2: Switch to the way we do it as opposed to

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Speaker 2: the other way around. Yes, I would.

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Speaker 3: Say to Hovey's at BESHI, twenty one year old intern.

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Speaker 3: Excuse me, I run this place. I own this place.

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Speaker 3: People like me run the world. So you figured it out.

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Speaker 2: My son sends me the emoji with the tears streaming

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Speaker 2: down the face. Yes, at what seemed to me inappropriate times.

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Speaker 2: It seems to mean something different to freshmen in high

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Speaker 2: school than all the other adults who ever send me

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Speaker 2: the emoji with tear streaming down the face? Yes, ka, Katie,

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Speaker 2: you're not old and bitter. Well, don't go that better.

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Speaker 5: But several of my younger friends send me that, which

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Speaker 5: usually would mean like you're crying legitimately fry, like you were.

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Speaker 2: Really touched by something, or you know my dog just died,

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Speaker 2: or I heard about your mom or whatever.

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Speaker 5: Yeah, it means something's hilarious now, like you're crying, you're laughing.

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Speaker 2: So okay, that's what I kind of picked up on.

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Speaker 2: I thought, this is highly inappropriate. Does this mean you're

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Speaker 2: laughing to well? Yeah, I cracked.

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Speaker 3: You have a laughing till you're crying, right they do. Yeah.

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Speaker 5: I cracked a joke to one of my girlfriends and

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Speaker 5: I sent her that, and she sent me one of

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Speaker 5: those back, and I was like, did something just happen.

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Speaker 2: What's wrong? Like, that's exactly that what I have, And

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Speaker 2: I thought, oh, geez, I hurt somebody's feelings.

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Speaker 5: Yeah, that exact same thing came over me. I was like,

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Speaker 5: what did I do? No, that's just their laughing face.

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Speaker 3: Now are we talking about the tears streaming? See? We

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Speaker 3: used that my family a lot. Like I didn't get

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Speaker 3: the wordle.

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Speaker 2: So upset. Yeah, but you're you're you're you're you're being

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Speaker 2: sarcastic about how upset you are. Yes, exaggerating, Yeah, but

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Speaker 2: it's kind of the opposite meaning for my son. Okay,

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Speaker 2: now I get it. I'm laughing so hard, I'm crying

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Speaker 2: and though they've got one of those already.

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Speaker 3: My favorite texting story of all time and it will

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Speaker 3: be for the rest of my life, was the woman

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Speaker 3: who said, I'm sorry I didn't get back to you.

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Speaker 3: My mom just passed away, and her friend replied lol,

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Speaker 3: thinking it meant lots of love to me. They no

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Speaker 3: longer speak.

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Speaker 2: And I'm l O welling now is the ironic sorry?

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Speaker 3: Anyway?

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Speaker 2: So to get back like this, I feel like LOL

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Speaker 2: is like charity laugh or you know what is that

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Speaker 2: term where you you laugh? You know, somebody says simple

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Speaker 2: sympathy laugh at this point and I and then I

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Speaker 2: don't know how to respond with a that actually is

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Speaker 2: freaking funny.

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Speaker 3: Yeah, yeah, I will. I don't know.

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Speaker 2: I usually write out because I don't use emojis, because

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Speaker 2: I'm a grown up. I usually write out, I actually

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Speaker 2: laughed out loud at that.

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Speaker 3: That was very funny, like that much if it's something real.

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Speaker 5: Long and tedious, you're such a boomer, or you just

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Speaker 5: send the word funny with zero punctuations so you can't

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Speaker 5: tell if you're being serious or not.

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Speaker 3: I have done that. I will frequently respond ha, because

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Speaker 3: I was laughing lots of oz. Yeah.

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Speaker 2: So, but there's more.

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Speaker 3: Linguists studying emojis emoji, I think I'm supposed to say,

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Speaker 3: I'm not Japanese, all right. Have also pointed out that

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Speaker 3: the symbols new meetings can often emerge from slang that

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Speaker 3: older users might not be aware of. For example, older

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Speaker 3: social media users might see the skull emoji as a

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Speaker 3: literal symbol of death or a sign that someone is

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Speaker 3: figuratively dead. Isn't dead, tired or dead to me whatever,

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Speaker 3: But for the younger users, the skull is used to

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Speaker 3: say I'm dead, which means that they found something hilarious

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Speaker 3: and have died laughing.

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Speaker 2: Oh okay, the skull is that was really funny. I'm

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Speaker 2: gonna hit somebody I can. I can think of people

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Speaker 2: i'd hit with that today. It would be very confused.

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Speaker 3: While the sparkle emoji is frequently someone being sarcastic about

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Speaker 3: how something, how good something is, and too much sarcasm.

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Speaker 3: But here's the part I found really interesting.

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Speaker 2: So I like, I send to like. If somebody says, hey,

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Speaker 2: I got that promotion at work, I respond with an

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Speaker 2: eggplant and then sprays of water.

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Speaker 3: Is that the proper thing? Good Lord?

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Speaker 2: Yes, yes, do that? Yeah, that's perfect.

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Speaker 3: Oh my god. Or if you give a thumbs up

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Speaker 3: and a sparkle, they'll think you're mocking them, which is again,

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Speaker 3: we run the world. We old people run the world.

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Speaker 3: You adapt us. But is your youngster texting about cannabis,

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Speaker 3: for instance, sometimes known as pot or marijuana, the shamrock,

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Speaker 3: the leaf, the maple leaf, the lemon, the grape, the watermelon,

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Speaker 3: the strawberry, the cherry, the pineapple, the dog face, the candy,

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Speaker 3: the cake, the ice cream cone, and the cookie can

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Speaker 3: all be references.

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Speaker 2: To cannabis, understand it. The egg plant is the traditional

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Speaker 2: vegetable of success, and so if somebody has some good news.

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Speaker 5: Keep believing that jack and use it frequently.

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Speaker 2: Jack.

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Speaker 3: These emoji can be references to cocaine, a rocket ship,

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Speaker 3: a fish, a gas pump, a snowman or a snowflake.

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Speaker 3: They're all sorts of drugs, sexting, the peach, which looks

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Speaker 3: like God forgive me a woman's hindhand, or the eggplant,

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Speaker 3: the water you mentioned, or cherries. Let's see.

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Speaker 5: I was embarrassingly baffled the other day when I got

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Speaker 5: a text message from a friend that said kiss my

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Speaker 5: and then there was a peach emoji, and.

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Speaker 2: I'm going, this is my peach?

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Speaker 3: What do you mean?

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Speaker 2: I saw somebody with a cherries tattoo on them? What

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Speaker 2: does that mean?

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Speaker 3: You, Katie? Is that a girl? What's that mean?

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Speaker 2: Cherries were trendy.

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Speaker 5: Late nineties early two thousands, but I don't know if

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Speaker 5: that is meaning.

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Speaker 3: What was a message?

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Speaker 2: I had a delicious fruit.

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Speaker 3: It was just a cute package. Okay, So okay, it

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Speaker 3: didn't mean anything. All right, that's fine, doesn't need to

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Speaker 3: We're looking it up. Oh.

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Speaker 5: Often associated with sensuality, feminine power, innocence and use.

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Speaker 2: Okay, according to an Instagram post.

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Speaker 3: That's a stupid tattoo. Don't get that and if you haven't,

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Speaker 3: get it removed.

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Speaker 4: Arm Strong and Getty, the Armstrong and Getty Show.

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Speaker 2: To be honest.

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Speaker 6: Elon Musk coming out and saying there is a huge

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Speaker 6: amount of fraud. I welcome that message completely because finally

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Speaker 6: someone is actually saying this.

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Speaker 2: Thank god. Sixty Minutes did this story last night, even

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Speaker 2: though they made me so angry. I was telling out

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Speaker 2: loud a couple of times. This story about fraud on

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Speaker 2: sixty Minutes, which we're going to spend a fair amount

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Speaker 2: of time on right here, is absolutely amazing. Coming up.

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Speaker 3: I want to bring my whole self to work has

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Speaker 3: turned to the beatings will continue until the morale improves.

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Speaker 3: And boy, that didn't take long. Stay tuned for that.

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Speaker 3: But getting back to sixty minutes, I think I know

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Speaker 3: what annoyed you so much, but I will tell you this.

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Speaker 3: They did a story on enormous government fraud, a significant

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Speaker 3: share of which you're about to hear, which would tend

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Speaker 3: to reinforce a fairly trumpy slash republican view of the world.

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Speaker 3: Shocked by that, then a great story on unbelievable scientific

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Speaker 3: advancements dealing with spinal injury, and then a nice piece

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Speaker 3: about Jimmy Lee Curtis in her career and blah blah blah.

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Speaker 3: It was not obnoxiously activistly left wing.

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Speaker 2: No, very classic sixty minutes last night. Yeah, and this

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Speaker 2: first story is so important, just roll on with the

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Speaker 2: next clip. There, Michael, is this woman who has been

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Speaker 2: screaming about fraud and government her whole career and getting

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Speaker 2: no attention.

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Speaker 6: I believe the government is losing between five hundred and

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Speaker 6: fifty billion and about seven hundred and fifty billion a year.

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Speaker 2: We're coming up.

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Speaker 6: Close to the one trillion dollar amount is lost every

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Speaker 6: year a fraud.

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Speaker 2: A year, a trillion dollars. We're coming up on a

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Speaker 2: trillion dollars a year of fraud.

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Speaker 3: I don't want to steal her thunder, but a lot

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Speaker 3: of the story had to do with, or at least

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Speaker 3: a significant amount with the fact that the safeguards are

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Speaker 3: pathetic and inadequate, and everybody knows it because it's just

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Speaker 3: not a priority. Yeah, you bust your ass to pay

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Speaker 3: your taxes, and yeah, we take your money from you,

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Speaker 3: or you go to jail. But yeah, once we have

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Speaker 3: your money, now we don't safeguarded at all. Not really.

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Speaker 2: This is a both party problem too, I mean, oh yes,

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Speaker 2: because if one party made this big deal of this

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Speaker 2: enough when they were in power, or they could do

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Speaker 2: something about it, I think just keep going, Michael.

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Speaker 7: When most people think of government fraud, I imagine they're thinking,

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Speaker 7: somebody is claiming disability benefits when they're not actually eligible,

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Speaker 7: somebody collecting food stamps when they're not actually eligible.

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Speaker 6: Are those the biggest defenders. Not at all, Not by

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Speaker 6: a long shot. What we're really talking about is nation

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Speaker 6: state actors. We're talking about organized crime rings. We're talking

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Speaker 6: about using vast amounts of stolen Americans' identities to monetize

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Speaker 6: them for criminal activity.

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Speaker 2: So when COVID happened and they were throwing around trillions

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Speaker 2: of dollars like crazy and opening up all these various programs,

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Speaker 2: lots of people jumped on it. It's similar to what

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Speaker 2: happened in California with the biggest fraud in California state history,

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Speaker 2: where prisoners from other states start applying for small business

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Speaker 2: handouts and everything like.

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Speaker 3: That and got them.

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Speaker 2: It's the tune of gazillions and gills millions of dollars.

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Speaker 2: This well, this next little clip from her will make

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Speaker 2: you mad.

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Speaker 7: In twenty twenty, Miller was appointed to an independent watchdog

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Speaker 7: committee that tracked how COVID relief money was spent, so.

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Speaker 6: We could tell right away it's like, oh, well, that's

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Speaker 6: all gonna get stolen.

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Speaker 2: You saw it coming.

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Speaker 6: Oh yeah, I mean it was like they threw money

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Speaker 6: in the air and just let people run around and

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Speaker 6: grab it.

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Speaker 2: Still in favorite tax increases, are you what that hang

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Speaker 2: there for a while. It's like they threw money up

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Speaker 2: in the air and let people run around and grab it.

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Speaker 2: What is it with lefties? I do not understand the whole.

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Speaker 2: I care about the down trow. I get caring about

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Speaker 2: the downtrodden, but I don't get the whole. I care

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Speaker 2: about the downtrodden, I'm willing to throw money at it

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Speaker 2: and then not pay the slightest bit of attention at

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Speaker 2: all ever to where the money goes or if it

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Speaker 2: does any good. I believe this in my heart. There

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Speaker 2: is a huge.

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Speaker 3: Motivator. Let me structure the sense like this self congratulations

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Speaker 3: may be the most important factor in good old American

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Speaker 3: left wing politics. I'm not talking about like Jade Guavera

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Speaker 3: Marxist politics. I'm talking about, you need to help the downtrodden.

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Speaker 3: Let's not blame the victims. We have to have programs

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Speaker 3: and plays, blah blah blah, well meaning folks, but their

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Speaker 3: own self congratulations is all they require. If they feel

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Speaker 3: that emotional feeling that they're looking for, they don't bother

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Speaker 3: with any follow up. They don't care about any follow up.

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Speaker 3: In fact, follow up ruins their buzz going through the

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Speaker 3: accounting and realizing, oh my god, there's waste, fraud and

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Speaker 3: abuse in this program. Holy cow, we got to roll

400
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Speaker 3: up our sleeves, take a deep breath and get to

401
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Speaker 3: work because this is bad.

402
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Speaker 2: No, that kills their buzz.

403
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Speaker 5: God.

404
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Speaker 2: We always talk about the spending is the point because

405
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Speaker 2: it goes to you know, connected people, cronies whatever, you know,

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Speaker 2: family members that are on fake boards. I'm surprised those

407
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Speaker 2: people don't out the fraud more like hey, you know

408
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Speaker 2: Biden families or whatever. It's say hey, hey, hey, that

409
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Speaker 2: million dollars went to some criminal in China. It's supposed

410
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Speaker 2: to go to my uncle who's on this fake board.

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Speaker 2: They're not keeping track of it.

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Speaker 3: Yeah, I mean they wouldn't say that out loud, but

413
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Speaker 3: you'd think, yeah, they'd become anti waste activists. Although they would,

414
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Speaker 3: they would be caught in their own web. I think,

415
00:23:26,000 --> 00:23:30,560
Speaker 3: so they can't a little more from Linda Miller, righteous

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Speaker 3: speaker of truth.

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Speaker 6: The most egregious part is that a lot of the

418
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Speaker 6: people who stole that money were foreign adversarial nation states.

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Speaker 2: So who are they? Who are you talking.

420
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Speaker 6: About We're talking about China, we're talking about Russia, impersonating

421
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Speaker 6: Americans in a lot.

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Speaker 3: Of cases, that's right. We are enriching shji In Pang

423
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Speaker 3: and vlad Putin and his goons and oligarchs even as

424
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Speaker 3: we're opposing them.

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Speaker 2: This FBI guy roll on.

426
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Speaker 8: These are arguably digital gangs in the twenty first century

427
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Speaker 8: that are built off of having safe haven stas meating

428
00:24:01,359 --> 00:24:03,800
Speaker 8: their governments are not going to interrupt their activity even

429
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Speaker 8: if it's illegal, and.

430
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Speaker 3: Then get a cut. The government's get a cut.

431
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Speaker 2: And then this I find this a particularly fantastic because

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Speaker 2: we all we hold on.

433
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Speaker 3: Sorry about the ball.

434
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Speaker 2: If we have to give our social Security number, we

435
00:24:23,320 --> 00:24:25,600
Speaker 2: look around, we make sure nobody hears it. If we

436
00:24:25,640 --> 00:24:27,520
Speaker 2: have to kee it into a pin, we put our

437
00:24:27,520 --> 00:24:30,639
Speaker 2: hand over the pin pad, so nobody possibly sees our

438
00:24:30,680 --> 00:24:33,240
Speaker 2: soci secrety. Because the most important thing you do, so

439
00:24:33,320 --> 00:24:35,840
Speaker 2: make sure nobody gets a hold of your social security number.

440
00:24:35,880 --> 00:24:36,800
Speaker 2: That's from sixty minutes.

441
00:24:37,000 --> 00:24:39,920
Speaker 7: Brian Vorandrin is head of the FBI's Cyber Division.

442
00:24:40,280 --> 00:24:41,880
Speaker 2: He says, these digital.

443
00:24:41,520 --> 00:24:44,960
Speaker 7: Gangs are armed with a very important weapon. Is it

444
00:24:45,119 --> 00:24:48,200
Speaker 7: true that the social security number of just about every

445
00:24:48,320 --> 00:24:51,520
Speaker 7: single American is available for sale on the dark web?

446
00:24:51,760 --> 00:24:52,840
Speaker 3: That is a truth tape.

447
00:24:53,119 --> 00:24:57,800
Speaker 8: All of our personal identifiable information, name data, birth, former addresses,

448
00:24:57,840 --> 00:25:00,600
Speaker 8: social security number is available in the dark netting can

449
00:25:00,720 --> 00:25:01,600
Speaker 8: likely be purchased.

450
00:25:01,800 --> 00:25:02,479
Speaker 2: That's chilling.

451
00:25:02,920 --> 00:25:05,840
Speaker 8: Yep, it's very much away of our lives so right now.

452
00:25:05,800 --> 00:25:08,880
Speaker 2: And purchased I hear for as little as two bucks apiece. Yep,

453
00:25:09,480 --> 00:25:11,639
Speaker 2: very affordable. What the hell?

454
00:25:14,359 --> 00:25:17,359
Speaker 3: If it can be hacked, it will be hacked, or

455
00:25:17,680 --> 00:25:21,240
Speaker 3: more likely has been hacked. What the hell?

456
00:25:22,119 --> 00:25:24,800
Speaker 2: And they had an example of an old couple and

457
00:25:25,160 --> 00:25:28,320
Speaker 2: who lost their home in the Palisades area of Los

458
00:25:28,359 --> 00:25:32,119
Speaker 2: Angeles and went to apply for their FEMA money, and

459
00:25:32,200 --> 00:25:36,560
Speaker 2: somebody had already grabbed it using their address, name, social

460
00:25:36,560 --> 00:25:38,960
Speaker 2: security number, all their data had already grabbed their money.

461
00:25:39,240 --> 00:25:41,440
Speaker 2: So they couldn't get their money. Now they're going through

462
00:25:41,480 --> 00:25:47,440
Speaker 2: the I can't imagine paperwork headache of trying to straighten

463
00:25:47,520 --> 00:25:50,520
Speaker 2: that out and get the money that they're owed by

464
00:25:50,520 --> 00:25:55,000
Speaker 2: these various programs that we support because some you know, Chinese, Russian,

465
00:25:55,040 --> 00:25:56,440
Speaker 2: whoever actors stole it.

466
00:26:00,040 --> 00:26:02,879
Speaker 3: Well. I don't mean to drive everybody to murderous rage.

467
00:26:02,920 --> 00:26:05,760
Speaker 3: But what's especially frustrating about all of this and all

468
00:26:05,760 --> 00:26:08,159
Speaker 3: of these dollar figures is that, remember, you got to

469
00:26:08,240 --> 00:26:11,879
Speaker 3: tack on interest because we're borrowing that money.

470
00:26:12,160 --> 00:26:14,800
Speaker 2: We didn't have it.

471
00:26:14,440 --> 00:26:16,160
Speaker 3: It wasn't in our wallets.

472
00:26:16,160 --> 00:26:18,400
Speaker 2: We've got to run to the bank and borrow it. Now,

473
00:26:20,840 --> 00:26:23,160
Speaker 2: one more clip and then we'll fill in some dots.

474
00:26:22,800 --> 00:26:23,399
Speaker 3: On this story.

475
00:26:23,880 --> 00:26:26,920
Speaker 7: Last year, the FBI unraveled one of the largest digital

476
00:26:27,000 --> 00:26:30,760
Speaker 7: fraud cases in US history, in which cyber criminals from

477
00:26:30,760 --> 00:26:34,760
Speaker 7: around the world use stolen identities to pocket six billion

478
00:26:34,840 --> 00:26:37,280
Speaker 7: dollars in pandemic unemployment funds.

479
00:26:37,760 --> 00:26:41,000
Speaker 8: Six billion dollars is an enormous, enormous amount of money.

480
00:26:41,119 --> 00:26:44,040
Speaker 7: Why is the government a target for this type of fraud?

481
00:26:44,240 --> 00:26:46,680
Speaker 8: Because of the massive amount of money that exists in

482
00:26:46,720 --> 00:26:49,320
Speaker 8: the federal government and in the state government.

483
00:26:49,359 --> 00:26:52,239
Speaker 3: And the utter lack of interest in protecting it in

484
00:26:52,240 --> 00:26:54,879
Speaker 3: a significant way, especially if it gets in the way

485
00:26:55,080 --> 00:26:59,200
Speaker 3: of handing out steads of money and thereby winning votes.

486
00:27:00,440 --> 00:27:03,760
Speaker 2: So, just so you have this takeaway, this Linda Miller

487
00:27:03,760 --> 00:27:06,000
Speaker 2: person who's been doing this for her career and is

488
00:27:06,040 --> 00:27:09,160
Speaker 2: so frustrated that nobody's been paying any attention, says, we're

489
00:27:09,200 --> 00:27:14,640
Speaker 2: approaching three quarters of a trillion per year that gets stolen,

490
00:27:14,720 --> 00:27:18,520
Speaker 2: mostly by foreign countries, and just from the COVID relief money.

491
00:27:18,720 --> 00:27:21,320
Speaker 2: When that was just flying around, like she said, it's

492
00:27:21,359 --> 00:27:23,200
Speaker 2: like they threw it up in the air and anybody

493
00:27:23,240 --> 00:27:26,640
Speaker 2: could run and grab it, she says, is probably about

494
00:27:26,680 --> 00:27:32,800
Speaker 2: a trillion of it was stolen a trillion dollars, and

495
00:27:32,840 --> 00:27:34,840
Speaker 2: as the FBI guy said, we're never going to get

496
00:27:34,840 --> 00:27:41,280
Speaker 2: it back. There's no recovering this money, a trillion dollars.

497
00:27:42,920 --> 00:27:45,639
Speaker 3: If we had a king, the prisons would be full

498
00:27:45,800 --> 00:27:49,120
Speaker 3: of the bureaucrats who allowed this to happen. Monarchy. Now,

499
00:27:50,400 --> 00:27:53,280
Speaker 3: how is this story, let's just call it good?

500
00:27:53,560 --> 00:27:56,320
Speaker 2: How's this not like a big enough story for an

501
00:27:56,440 --> 00:27:58,320
Speaker 2: entire party to emerge around.

502
00:28:01,359 --> 00:28:03,080
Speaker 3: I just think the other side of the coin is

503
00:28:03,119 --> 00:28:06,600
Speaker 3: so attractive to people, particularly low information voters. We're gonna

504
00:28:06,640 --> 00:28:09,160
Speaker 3: give you stuff. That's the party for me. Right there,

505
00:28:09,240 --> 00:28:10,840
Speaker 3: that guy said he do you stuff.

506
00:28:11,320 --> 00:28:15,560
Speaker 2: My media nitpicking just to get it out of my system?

507
00:28:15,920 --> 00:28:16,359
Speaker 3: Is that.

508
00:28:18,200 --> 00:28:21,240
Speaker 2: Cecilia Vega woman right at the very beginning of the

509
00:28:21,280 --> 00:28:25,240
Speaker 2: story had to throw in Elon Musk over states how

510
00:28:25,320 --> 00:28:30,440
Speaker 2: much waste there is, doesn't he And the woman said, yeah,

511
00:28:30,600 --> 00:28:34,000
Speaker 2: he does. So they had to throw out this red

512
00:28:34,119 --> 00:28:38,160
Speaker 2: herring for their lefty viewer. Elon Musk isn't for the

513
00:28:38,240 --> 00:28:40,280
Speaker 2: We're not saying he's perfect or everything he.

514
00:28:40,240 --> 00:28:40,880
Speaker 3: Did was good.

515
00:28:41,200 --> 00:28:43,400
Speaker 2: Before we get to the biggest story you're going to

516
00:28:43,440 --> 00:28:46,680
Speaker 2: hear this weekend that a trillion dollars was stolen from

517
00:28:46,720 --> 00:28:49,520
Speaker 2: the gun of Elon Musk's numbers are fast and loose.

518
00:28:49,560 --> 00:28:52,200
Speaker 3: On the other hand, this story that's really barely related.

519
00:28:52,640 --> 00:28:54,960
Speaker 2: Nice red herring. You had to throw in there for

520
00:28:54,960 --> 00:29:00,720
Speaker 2: some reason to satisfy your lefty view What the hell

521
00:29:00,800 --> 00:29:02,600
Speaker 2: was that? That makes me so angry?

522
00:29:03,160 --> 00:29:05,840
Speaker 3: I wonder if they like edited the story together and

523
00:29:05,920 --> 00:29:09,880
Speaker 3: somebody said, hey, this really comes off as supporting road

524
00:29:10,080 --> 00:29:13,000
Speaker 3: and eliminating waste, fraud and abuse. We probably ought to

525
00:29:13,000 --> 00:29:17,880
Speaker 3: throw in something for our soft headed again self congratulatory

526
00:29:18,480 --> 00:29:21,680
Speaker 3: dumb ass viewers. So that was uncharitable, and I apologize

527
00:29:21,720 --> 00:29:23,000
Speaker 3: for it. That's what it was.

528
00:29:23,120 --> 00:29:25,560
Speaker 2: I got the thumbs down Friday from a girl in

529
00:29:25,600 --> 00:29:28,800
Speaker 2: the crosswalk in my university town. I was in my cyberbeast.

530
00:29:29,000 --> 00:29:30,400
Speaker 2: She's walking in front of me and she looks at

531
00:29:30,400 --> 00:29:32,920
Speaker 2: me and she gives me the two thumbs down and

532
00:29:33,080 --> 00:29:40,040
Speaker 2: she walks across. No disapproval. This privileged college girl at

533
00:29:40,080 --> 00:29:44,120
Speaker 2: an expensive university in an expensive town unhappy with Elon Musk.

534
00:29:44,200 --> 00:29:46,200
Speaker 2: So yeah, that's what had to do. They had to

535
00:29:46,200 --> 00:29:49,160
Speaker 2: throw in a little Elon's not perfect. But now back

536
00:29:49,200 --> 00:29:52,680
Speaker 2: to a very very big important story that everybody should know.

537
00:29:53,080 --> 00:29:55,640
Speaker 2: A trillion dollars got stolen.

538
00:29:55,880 --> 00:29:59,160
Speaker 3: Right right. I like how they sand I'm sorry, I'm

539
00:29:59,200 --> 00:30:01,720
Speaker 3: hung up on the cars. I like how the same

540
00:30:01,760 --> 00:30:05,040
Speaker 3: people who are keying SUVs five years ago are now

541
00:30:05,160 --> 00:30:09,360
Speaker 3: keying electric vehicles. Just the important part is they're an

542
00:30:09,520 --> 00:30:14,400
Speaker 3: angry activist and a revolutionary and they're going to fight

543
00:30:14,520 --> 00:30:16,960
Speaker 3: the power, and it'll be a different.

544
00:30:16,680 --> 00:30:19,160
Speaker 2: Power, completely opposite in five more years.

545
00:30:19,280 --> 00:30:20,920
Speaker 3: Because all I want to do is be angry is

546
00:30:21,000 --> 00:30:23,560
Speaker 3: self franchus. I can't think I'm stupid.

547
00:30:24,160 --> 00:30:26,080
Speaker 2: I wanted to roll down my window and say. You know,

548
00:30:26,200 --> 00:30:29,000
Speaker 2: I have no opinion on what you drive your whole life.

549
00:30:29,000 --> 00:30:33,560
Speaker 2: Whatever you drive doesn't make any difference to me whatsoever. Anyway, Fine,

550
00:30:34,480 --> 00:30:35,560
Speaker 2: make you right, I tell you what.

551
00:30:35,960 --> 00:30:38,640
Speaker 3: All right, Here's here's a little I had a slice

552
00:30:38,640 --> 00:30:41,000
Speaker 3: of key lime pie last night, and I love key

553
00:30:41,000 --> 00:30:43,840
Speaker 3: lime pie. Here's a little dessert for you. Michael, We're

554
00:30:43,880 --> 00:30:47,480
Speaker 3: going to go up to the rando section. Oh, this

555
00:30:47,680 --> 00:30:51,080
Speaker 3: is this is great. Here is a dad who does

556
00:30:51,080 --> 00:30:55,880
Speaker 3: a great Joe Biden and he's literally working on the

557
00:30:55,920 --> 00:30:59,320
Speaker 3: meat on the grill. This is clip fifteen. Michael and

558
00:30:59,360 --> 00:31:02,000
Speaker 3: his daughter come up to him and says he does

559
00:31:02,800 --> 00:31:04,760
Speaker 3: do an impression of Joe Biden.

560
00:31:05,080 --> 00:31:07,520
Speaker 7: Explaining the plot to Star Wars.

561
00:31:08,080 --> 00:31:12,200
Speaker 9: So there's a there's a galicy galaxy park on the

562
00:31:12,240 --> 00:31:15,200
Speaker 9: side of that. No, no, A long long time ago,

563
00:31:15,600 --> 00:31:23,040
Speaker 9: back back back when I was working full time. Anyway,

564
00:31:23,080 --> 00:31:25,640
Speaker 9: I was ahead of the embassy. It doesn't matter. Uh long,

565
00:31:26,800 --> 00:31:29,600
Speaker 9: far far away. There was galaxy and there were robots,

566
00:31:30,120 --> 00:31:33,280
Speaker 9: the robuts, they were not the droids.

567
00:31:33,280 --> 00:31:34,160
Speaker 6: You're really good for me.

568
00:31:36,440 --> 00:31:38,360
Speaker 3: Come on, that's pretty good.

569
00:31:39,760 --> 00:31:40,000
Speaker 1: Boy.

570
00:31:41,160 --> 00:31:51,080
Speaker 4: Jack Armstrong and Joe, The Armstrong and Getty Show, The

571
00:31:51,400 --> 00:31:53,600
Speaker 4: arm Strong and Geeddy Show.

572
00:31:53,720 --> 00:31:57,320
Speaker 3: Oh, this is gonna be my let me count one

573
00:31:57,440 --> 00:32:00,640
Speaker 3: hundred and thirty third jihad this topic.

574
00:32:01,680 --> 00:32:05,640
Speaker 2: Wow, I'm really gonna have to use AI to schedule it. Uh,

575
00:32:06,400 --> 00:32:07,800
Speaker 2: you know, rantings and ravings.

576
00:32:07,840 --> 00:32:10,440
Speaker 3: Why did I come across with AI yesterday?

577
00:32:10,440 --> 00:32:16,360
Speaker 2: Something AI that was just phenomenal around video stuff. Again,

578
00:32:16,840 --> 00:32:19,880
Speaker 2: that's where AI is clearly making a mark. I don't

579
00:32:19,880 --> 00:32:23,800
Speaker 2: know if it's going to take over the world in

580
00:32:24,040 --> 00:32:25,760
Speaker 2: a lot of the other ways that they've been claiming,

581
00:32:25,760 --> 00:32:28,600
Speaker 2: but man, the stuff it can do with video with

582
00:32:28,880 --> 00:32:33,120
Speaker 2: just you know, a couple of prompts is stunning, mind blowing.

583
00:32:33,760 --> 00:32:36,680
Speaker 2: So this is getting some mockery. Oh it was good.

584
00:32:36,720 --> 00:32:39,440
Speaker 2: There's an article in the New York Times, a hot

585
00:32:39,520 --> 00:32:43,640
Speaker 2: accessory at the intersection of faith and culture seen on influencers,

586
00:32:43,640 --> 00:32:46,840
Speaker 2: pop stars and White House staff. Cross necklaces are popping

587
00:32:46,960 --> 00:32:50,240
Speaker 2: up everywhere, and it's getting mockery from the parts of

588
00:32:50,280 --> 00:32:54,000
Speaker 2: the country where people been wearing cross necklaces forever. Like

589
00:32:54,640 --> 00:32:56,560
Speaker 2: I think every girl I've ever dated in my life

590
00:32:56,600 --> 00:33:01,040
Speaker 2: for across necklace at some point. So the idea that

591
00:33:01,040 --> 00:33:03,440
Speaker 2: the New York Times is acting like this is some

592
00:33:03,840 --> 00:33:08,280
Speaker 2: interesting intersection of faith and culture that has occurred is

593
00:33:08,680 --> 00:33:10,880
Speaker 2: just an example of how out of touch they are

594
00:33:11,080 --> 00:33:14,160
Speaker 2: with the giant chunk of America that, for instance, has

595
00:33:14,280 --> 00:33:15,640
Speaker 2: voted for Trump twice.

596
00:33:16,880 --> 00:33:17,800
Speaker 3: New York is.

597
00:33:17,800 --> 00:33:21,040
Speaker 2: A fascinating place in so many ways.

598
00:33:21,240 --> 00:33:25,320
Speaker 3: I am pro New York, but New Yorker's self regard

599
00:33:25,640 --> 00:33:28,960
Speaker 3: has annoyed me since I was eleven years old, right,

600
00:33:29,080 --> 00:33:33,480
Speaker 3: no kidding. The rest of us are quite happy and

601
00:33:33,520 --> 00:33:37,600
Speaker 3: fascinated by life, and have many opportunities for art, culture,

602
00:33:37,680 --> 00:33:40,760
Speaker 3: the outdoors, et cetera. Whatever we prefer. We're fine. We're

603
00:33:40,840 --> 00:33:42,480
Speaker 3: not lesser being well. Right.

604
00:33:42,520 --> 00:33:44,840
Speaker 2: The thing that annoys me about New York and to

605
00:33:44,880 --> 00:33:47,480
Speaker 2: a certain extent, LA and lots of big cities really,

606
00:33:47,520 --> 00:33:51,240
Speaker 2: but in particular New York and LA is the people

607
00:33:51,240 --> 00:33:53,520
Speaker 2: who live there, their assumption that we all want to

608
00:33:53,560 --> 00:33:55,520
Speaker 2: be there. We just haven't figured out how to get

609
00:33:55,520 --> 00:33:58,720
Speaker 2: there yet. We're trying, we just haven't been successful enough

610
00:33:58,880 --> 00:34:02,880
Speaker 2: to live there, and you know there, And that's fine.

611
00:34:03,680 --> 00:34:07,240
Speaker 2: I belove New York and Los Angeles, but everybody doesn't

612
00:34:07,240 --> 00:34:09,400
Speaker 2: want to live there. There are some people, I know.

613
00:34:09,600 --> 00:34:10,040
Speaker 3: That's funny.

614
00:34:10,040 --> 00:34:11,799
Speaker 2: I was listening to Joonah Goldberg the other day on

615
00:34:11,840 --> 00:34:14,600
Speaker 2: a podcast, and he grew up on the Upper West Side.

616
00:34:15,200 --> 00:34:16,919
Speaker 2: You know, right next to Central Park. That's the way

617
00:34:16,920 --> 00:34:19,120
Speaker 2: he grew up. And he was saying some things that

618
00:34:19,160 --> 00:34:22,399
Speaker 2: I and he was just so wrong about. I wish

619
00:34:22,520 --> 00:34:24,640
Speaker 2: I could have had a conversation, like a loving conversation

620
00:34:24,680 --> 00:34:27,240
Speaker 2: with him, saying, dude, you just and I don't blame

621
00:34:27,280 --> 00:34:29,200
Speaker 2: you for not knowing you grew up with a completely

622
00:34:29,239 --> 00:34:31,840
Speaker 2: different lifestyle than I did. But I know plenty of

623
00:34:31,880 --> 00:34:35,439
Speaker 2: people who might kill themselves if they had to live

624
00:34:35,440 --> 00:34:39,640
Speaker 2: in New York. They would contemplate suicide if they had

625
00:34:39,640 --> 00:34:40,279
Speaker 2: to live in New.

626
00:34:40,239 --> 00:34:46,839
Speaker 3: York, right right, I'll and it's universal. I mean, we've

627
00:34:46,840 --> 00:34:49,440
Speaker 3: talked about this, having moved around the country, Fairmount. You

628
00:34:49,480 --> 00:34:52,840
Speaker 3: live in Kansas, they talk about how stupid Missourians, sure whatever,

629
00:34:52,920 --> 00:34:57,000
Speaker 3: And you're in France they say Belgians or morons. Just

630
00:34:57,040 --> 00:35:00,200
Speaker 3: everybody likes to, you know, say human foible. But I'll

631
00:35:00,200 --> 00:35:02,200
Speaker 3: never forget. I was having a conversation with a friend

632
00:35:02,200 --> 00:35:05,799
Speaker 3: in the San Francisco Bay area years ago, and at

633
00:35:05,800 --> 00:35:08,960
Speaker 3: the conclusion of a long conversation about his brutal commute

634
00:35:09,160 --> 00:35:14,560
Speaker 3: and it's awful taxes and is incomprehensible mortgage payments and

635
00:35:14,600 --> 00:35:17,960
Speaker 3: the rest of it. A town outside the Bay area

636
00:35:18,040 --> 00:35:22,480
Speaker 3: came up, and he was like, oh, poor bastards, right,

637
00:35:22,719 --> 00:35:27,040
Speaker 3: if only they could live in the Bay Area. I'm like, wow, okay,

638
00:35:27,600 --> 00:35:29,240
Speaker 3: never mind. Anyway.

639
00:35:29,360 --> 00:35:31,960
Speaker 2: One thing about moving my whole life and then as

640
00:35:31,960 --> 00:35:37,200
Speaker 2: an adult also is realizing that everybody loves where they're from,

641
00:35:37,360 --> 00:35:39,799
Speaker 2: and I wish just more people would understand. You like

642
00:35:39,840 --> 00:35:42,560
Speaker 2: where you're from. That's perfectly fine. You don't need to

643
00:35:42,600 --> 00:35:45,440
Speaker 2: hate on other places. You like where you're from because

644
00:35:45,440 --> 00:35:47,960
Speaker 2: it's what you're familiar with, your people, your friends, your stuff.

645
00:35:48,160 --> 00:35:49,239
Speaker 3: That's perfectly all right.

646
00:35:49,280 --> 00:35:51,600
Speaker 2: But you don't have to pretend that you have to

647
00:35:51,680 --> 00:35:53,200
Speaker 2: hate all the other places.

648
00:35:53,239 --> 00:35:56,480
Speaker 3: But everybody does. It's human nature, apparently, especially because we're

649
00:35:56,480 --> 00:35:58,680
Speaker 3: all Americans except for legal immigrants.

650
00:35:58,719 --> 00:36:00,120
Speaker 2: You're not get out except.

651
00:36:00,040 --> 00:36:01,560
Speaker 3: Twenty million illegal immigrants.

652
00:36:02,000 --> 00:36:05,920
Speaker 1: The Armstrong and Getty Show, Yea or Jack or Joe podcasts,

653
00:36:06,000 --> 00:36:07,000
Speaker 1: and our hot links

654
00:36:07,040 --> 00:36:08,600
Speaker 2: And Army dot Com