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Speaker 1: Ahead on an American Sentrise early edition, the Sound and the Fury,

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Speaker 1: signifying nothing. The Senate votes down both the Obamacare extension

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Speaker 1: bill from the Democrats and the Republican Obamacare replacement bill.

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Speaker 1: Now everything remains in limbo for millions of Americans. They're

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Speaker 1: going to be screaming about this all the way through

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Speaker 1: the midterms. Charlie Kirk's alleged assassin, Tyler Robinson, smiles and

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Speaker 1: smirks as he makes his first court appearance since the murder.

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Speaker 1: But secrecy around the proceedings remains a concern. We're not

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Speaker 1: seeing enough of these court proceedings. One tanker down, several

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Speaker 1: more to go. The Trump administration declares just about all

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Speaker 1: of the Venezuelan oil trade to be fair game in

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Speaker 1: the war against terrorism and narco terrorism.

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Speaker 2: It's also going after the.

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Speaker 1: Money flowing to Nicolas Madoro and his family directly. The

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Speaker 1: worm at the bottom of the tequila glass is turning.

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Speaker 2: Now.

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Speaker 1: It's mexicopping Taris on China, specifically China's cheap electric car imports.

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Speaker 1: I thought Mexico hated Tarris And what's the opposite of debunked?

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Speaker 1: Grab your dictionaries. While the evidence grows, proving that Congresswoman

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Speaker 1: Elon Omar indeed did marry your own brother to commit

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Speaker 1: citizenship fraud. Yes, that is gross. American Sunrise Early Edition begins.

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Speaker 3: Now, Welcome to American Sunrise Early Edition, the show where faith,

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Speaker 3: freedom and the values that built this nation takes centers to.

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Speaker 2: Your good deeths and bad deaths. That's how we're gonna judge.

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Speaker 4: You.

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Speaker 3: Join host Jake Novak because he breaks down the stories

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Speaker 3: that matter.

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Speaker 2: He will be letting the public know regularly what we

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Speaker 2: have found.

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Speaker 3: American Sunrise Early Edition with your host Jake Nobak starts.

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Speaker 1: Now, Welcome to this No Time Friday here on American

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Speaker 1: Sunrise Early Edition. And this is one of those mornings

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Speaker 1: where I'm really happy here in real America's voice that

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Speaker 1: we have three hours of American Sunrise First Early Edition

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Speaker 1: and then the American Sunrise Big Show, because there is

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Speaker 1: a lot to talk about, a lot that has changed

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Speaker 1: in the last twelve hours or so five six seven hours.

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Speaker 2: So I'm only going to be able to get to

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Speaker 2: some of it.

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Speaker 1: You got to watch the entire three hours here and

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Speaker 1: probably stay the rest of the day because frankly, there's

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Speaker 1: a lot to talk about since I put this program together.

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Speaker 1: In the middle of the night, we had President Trump

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Speaker 1: pardoning Tina Peters, the Colorado state employee who found that

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Speaker 1: evidence of irregularity in the twenty twenty election. Whether that

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Speaker 1: gets her out of prison or not, probably not in

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Speaker 1: the short term because she's in a state prison on

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Speaker 1: state charges. But this will help the process. It won't

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Speaker 1: hurt it, I don't think. So there's that to talk about.

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Speaker 1: Kilmer Abrego Garcia, the Mariland man, otherwise not as someone

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Speaker 1: who beat his wife, probably was a child trafficker, is

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Speaker 1: going to be released any moment and there's going to

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Speaker 1: be a rally for him. So that's going on as well.

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Speaker 1: So much to talk about. But joining us right now

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Speaker 1: is America Sunrise Early edition legal and political contributor doctor

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Speaker 1: James Nezo and Jim. I want to talk about a

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Speaker 1: little bit about the Monroe doctrine I had. I wrote

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Speaker 1: what I think. Listen, I cracked myself up.

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Speaker 2: Jim.

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Speaker 1: My favorite tweeter on Expost overnight was Monroe Doctrine.

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Speaker 2: Two, drug boat and oil boat boogoloo.

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Speaker 1: Because we're seizing oil tankers, We're going after the Maduro family.

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Speaker 2: Directly. To me, this is textbook stuff. All those people.

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Speaker 1: Complaining about US getting involved in foreign wars thousands of

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Speaker 1: miles away. This is our own sphere of influence ever since,

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Speaker 1: you know, basically delineated by James Monroe, President Monroe, and

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Speaker 1: I think this is something the actually the American people

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Speaker 1: for the most part, really support.

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Speaker 5: There was last week the release which happens once a term,

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Speaker 5: sometimes twice a term in every presidential term of office,

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Speaker 5: something called the National Security Doctrine, and it is a long,

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Speaker 5: multi page sort of analysis of how the United States

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Speaker 5: sees it stitle security. What was very interesting about this

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Speaker 5: was the pivot away from Europe as the centerpiece of

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Speaker 5: American foreign policy in many respects. What has happened is

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Speaker 5: that we pivoted back to a Monroe notion. Now we

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Speaker 5: can talk about Asia, and that is incredibly important too.

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Speaker 5: But when the selection of mister Rubio as Secretary Rubio,

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Speaker 5: that was a signal by the Trump administration, not merely

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Speaker 5: because Marco Rubio is a very gifted man, but also

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Speaker 5: because of his interest in dealing with Central and Latin America.

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Speaker 5: And we're seeing not only in Venezuela, but also there's

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Speaker 5: rhetoric now coming to Colombia as well from the President

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Speaker 5: that these two Narco states, as he calls them, are

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Speaker 5: on the hit list and he is going after them

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Speaker 5: with kinetic force.

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Speaker 1: And I think that's we have a live shot up

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Speaker 1: right now of Kilmer Abrigo Garcia, the.

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Speaker 2: Maryland man, an illegal alien.

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Speaker 1: Only in the liberal leftist America now can an illegal alien?

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Speaker 1: No one is denying that he was here illegally. Some

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Speaker 1: also no denying that he was once in court for

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Speaker 1: abusing and beating his wife. Can we have this person

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Speaker 1: celebrated as a hero. There's going to be a rally

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Speaker 1: for him here. I don't know if I can stomach

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Speaker 1: this town room. And of course there's someone with a

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Speaker 1: Palestinian scarf next to him, because of course Palestinians and

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Speaker 1: illegal aliens from Central America have everything in common. I mean,

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Speaker 1: this is just about being anti American, and there he

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Speaker 1: is standing there.

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Speaker 2: Jim, off the air, when I was telling you that

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Speaker 2: this was going to.

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Speaker 1: Happen, you talked about how this is really the result

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Speaker 1: of these judges who don't seem to care about endangering

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Speaker 1: the public.

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Speaker 2: This is like a hobbsy and dystopia, Jim.

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Speaker 5: It is horribly Hobbsym. There is a young woman who

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Speaker 5: is dead and from North Carolina. There's a number of

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Speaker 5: people in Illinois who have died because the judges have

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Speaker 5: decided that quote, we don't have room in our prisons

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Speaker 5: for people, so we're just going to toss these out,

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Speaker 5: and they have in the flimsiest of reasons. Unfortunately, our

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Speaker 5: system of government makes it extraordinarily difficult to remove these judges.

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Speaker 5: What I think ought to happen is a change in

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Speaker 5: the federal rules of criminal procedure which will allow prosecutors

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Speaker 5: to then go to appellate courts when something like this

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Speaker 5: occurs and asks for a stay, but they can't in

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Speaker 5: sentencing decisions like this which go against the government. That

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Speaker 5: basically ends all sort of discussion.

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Speaker 6: You can't.

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Speaker 5: Now the defendant can move up to an appellate court,

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Speaker 5: but the state cannot. And we are seeing people put felons,

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Speaker 5: put on the street, people in danger. There Again, as

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Speaker 5: I said, there are people who have been planted in

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Speaker 5: the ground because of decisions made by the judge.

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Speaker 2: Judiciary.

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Speaker 3: They are.

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Speaker 5: You know, there's a there's an old there's an old

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Speaker 5: joke about how God wishes that he was a federal

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Speaker 5: district Court judge.

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Speaker 1: Yeah, I mean it really, it's frustrating to be well,

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Speaker 1: let's stay with the coursers again.

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Speaker 2: We're just looking at this news conference.

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Speaker 1: Now, that's Kilmer Abrigo Garcia on the left again, someone

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Speaker 1: who is an illegal alien. These are these are accepted

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Speaker 1: facts an illegal aliens.

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Speaker 5: I wish we didn't even have to see his face.

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Speaker 5: I mean, the only good thing is that there are

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Speaker 5: going to be so many cameras around this guy in

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Speaker 5: the next couple of weeks before ultimately he gets re

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Speaker 5: arrested for some minor piccadillo that the guy probably can't

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Speaker 5: go out to go and pick up the newspaper on

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Speaker 5: the front lawn without having five or six cameras watching

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Speaker 5: his every step. He thought he was in jail. He's

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Speaker 5: not really in jail. He's called media jail.

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Speaker 2: Yeah, that's possible.

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Speaker 1: All right, let's get off that shot and talk about

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Speaker 1: more outrageous judicial malpractice and who the chief judge of

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Speaker 1: malpractice in America is.

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Speaker 2: Katani Brown Jackson, Supreme Court Justice.

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Speaker 1: By the way, the official title if unless you're the

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Speaker 1: chief justice is Associate Justice. Say that in your in

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Speaker 1: your classroom and see if anyone knows what you're talking about.

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Speaker 1: But she again embarrassed herself earlier this week when she

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Speaker 1: just said from the bench, from the bench in a

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Speaker 1: Supreme Court hearing, that she's happy to say that unelected

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Speaker 1: bureaucrats should be running this country with no accountability.

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Speaker 2: Now I don't know.

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Speaker 1: Again, every time she opens her mouth, the question is

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Speaker 1: is she just really really ignorant of decency and of

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Speaker 1: our American way and our American laws, or is she

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Speaker 1: basically she knows that this is all wrong, but she's

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Speaker 1: a partisan plant meant to undermine this country's democracy from within.

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Speaker 2: Either way, it's not good, is it.

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Speaker 5: Jim Well, First of all, why is it an or situation?

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Speaker 5: Why can't it be an end? And I think it

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Speaker 5: isn't any particulars in this particular case. Look, in the

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Speaker 5: nineteen seventies, President Nixon tried to sort of ram home

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Speaker 5: somebody into the Supreme Court, and one of the people

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Speaker 5: he brought in was this fellow boy Carswell and who

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Speaker 5: was a thoroughly maybe a decent man, and he's probably

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Speaker 5: passed on, So I don't want to speak ill of

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Speaker 5: the dead, but he was not the sharpest knife in

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Speaker 5: the drawer, and Senator Roman Hirska from Nebraska was famously

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Speaker 5: heard to say, well, why can't the mediocre also be

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Speaker 5: represented of the Supreme Court. Well, he didn't get it

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Speaker 5: with Carswell he has got it with Jackson. She is

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Speaker 5: thoroughly mediocre. What is fascinating is that there usually is

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Speaker 5: a great deal of difference between members of the court.

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Speaker 5: That's not happening anymore. He speaks, eyes visibly roll on

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Speaker 5: the bench even an oral argument. If you read the

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Speaker 5: rejection of her descents, they have a tone not just

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Speaker 5: of sort of anger or vitriol, but of almost a

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Speaker 5: weariness of having to explain to this person who ought

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Speaker 5: not to even have passed the first year law exams

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Speaker 5: along the bar about what the notion of the law

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Speaker 5: happens to be. She unfortunately, is a graduate of my

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Speaker 5: law school, and she is not one of those that

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Speaker 5: I would celebrate.

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Speaker 1: Finally, Jimmy, only have a bet a minute left. But

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Speaker 1: you tease this a little bit earlier about talking about Asia.

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Speaker 1: I know that you're a frequent visitor to Japan for business,

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Speaker 1: and a lot of people watching may not know that

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Speaker 1: China has really ramped up its pressure and it's vitriol

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Speaker 1: and some scary stuff against Japan lately. I know that

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Speaker 1: the US and Japan did a joint aerial exercise around

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Speaker 1: Taiwan and also over Japan recently, just to show China

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Speaker 1: that the United States stands strongly. President Trump really stands

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Speaker 1: strongly with Japan and his new prime minister. Tell us

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Speaker 1: about that prime minister because she has no wilting flower issue.

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Speaker 2: Jim Now.

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Speaker 5: As a matter of fact, she was named the third

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Speaker 5: most powerful woman in the world by one of the

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Speaker 5: major international magazines yesterday. This is a woman who has

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Speaker 5: completely transformed Japanese politics. For years, it's been sclerotic with

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Speaker 5: these old men who frankly are carbon copies of each other,

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Speaker 5: since Abei San passed away. She comes in and she

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Speaker 5: has flipped the script entirely. Before the average amount of

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Speaker 5: approval rating of our prime minister was in the low thirties,

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Speaker 5: even to the high twenties. Her last poll was seventy

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Speaker 5: five point eight percent, and if you look at young people,

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Speaker 5: it's over eight. They love what she is and what

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Speaker 5: she's been doing. Korea. Sorry, China made a catastrophic mistake

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Speaker 5: thinking that they could get her to back down. What

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Speaker 5: she's done is they've cemented in the Japanese mind that

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Speaker 5: here is a tough, hard hitting prime minister who they

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Speaker 5: can back, and they are economically. There's been no diminution

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Speaker 5: in terms of the Japanese economy by the withdrawal is

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Speaker 5: a matter of fact. What it's done, if you read

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Speaker 5: the Japanese newspapers, is it's gone and basically said to

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Speaker 5: Japan you don't have to be dependent on China economically.

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Speaker 5: You can diversify around the world and this will be

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Speaker 5: better for you both in the short and long term.

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Speaker 5: And they're doing that. This is going to red down

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Speaker 5: very very badly for she as yet another catastrophic mistake

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Speaker 5: that he has been making.

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Speaker 1: Thank you, well, I'll tell you something. Thank you, General

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Speaker 1: Douglas MacArthur. This was his dream when he insisted that

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Speaker 1: the Japanese give women the right to vote. He did

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Speaker 1: it because he knew that they would break up eventually,

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Speaker 1: the old boys club in Japan. And this is Prime

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Speaker 1: Minister Takeiichi doing that. Doctor James Nasa, thank you so

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Speaker 1: much for joining us.

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Speaker 2: Have a great weekend.

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Speaker 5: Thank you you too.

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Speaker 1: All right, coming up, the same Mexican government that's crying

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Speaker 1: about tarifs from the US is now slapping tarrifs on China. No,

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Speaker 1: it's real and it's spectacular, Thank you Mexico.

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Speaker 2: And the more the.

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Speaker 1: Mainstream media insists the story isn't true, the more likely

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Speaker 1: it seems to be true. And that's the case with

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Speaker 1: the doozy of a story about Congresswoman Elon Omar, that

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Speaker 1: story and more. When American Sunrise Early Edition continues, you

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Speaker 1: know when it comes to Christmas, like understated, No, just kidding,

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Speaker 1: that's Belajio in Las Vegas, and addie, I'm gonna get

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Speaker 1: understated in Las Vegas for Christmas or anything else. They

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Speaker 1: don't do anything small over there. All right, folks, welcome

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Speaker 1: back to American Sunrise Early Adition.

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Speaker 2: It's a no Time Friday. I'm Jake Novak.

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Speaker 1: You're there on Getter and Rumble and X and Substack,

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Speaker 1: commenting and having a good time while looking at all

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Speaker 1: this crazy news, all lots of cover today.

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Speaker 2: It's really good.

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Speaker 1: You get three hours worth of the entire American Sunrise package.

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Speaker 1: We need more, but three hours will work because there's

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Speaker 1: so many stories today. But I couldn't let this one go.

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Speaker 1: The so called debunked story I actually saw on a

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Speaker 1: lot of mainstream news media last week that it was

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Speaker 1: a debunked it wasn't true that elon Omar married her

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Speaker 1: own brother so that she could basically cheat the citizenship

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Speaker 1: such a process in this country.

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Speaker 2: Well, it's looking more and more true than ever.

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Speaker 1: Last week we got the document that shows looks sure's

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Speaker 1: looks like a marriage document showing her brother's name on it.

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Speaker 1: And now we have a Somali community leader, not somebody

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Speaker 1: on a blog, but a Somali community leader in Minnesota saying, yeah,

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Speaker 1: everybody knows she married her brother, and he feels that

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Speaker 1: he's got the evidence for it. Emily Finn joins us now.

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Speaker 1: But Emily, I want to bring you in not to

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Speaker 1: talk about the gross thing. I mean, look, I don't

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Speaker 1: think she actually like married him and went and lived

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Speaker 1: with him. You don't get I think it was just

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Speaker 1: on paper. Okay, I'm going to give her a pass

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Speaker 1: on that one. But I want to do a little

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Speaker 1: bit of journalism training here with Emily Finn. She and

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Speaker 1: I can train journalists because elean Omar appears on a

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Speaker 1: lot of mainstream news media outlets and I'm sorry, this

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Speaker 1: is journalism one oh one. The first question they should

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Speaker 1: ask her is can you just tell us yes or no.

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Speaker 1: Did you legally mar and make sure they say legally

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Speaker 1: because you could say no, I didn't really marry him

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Speaker 1: in spirit. Did you legally marry your brother to get

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Speaker 1: citizenship in this country for yourself or for him?

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Speaker 2: Yes or no? And if they don't ask you that question,

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Speaker 2: they're not real journalists.

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Speaker 7: Emily well Jag, She's never going to come on your

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Speaker 7: program because she never wants to answer that question. And

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Speaker 7: it is terrible that the mainstream media has been trying

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Speaker 7: to cover this. This is making me think of the

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Speaker 7: Hunter Biden laptop that was also debunked. Also wasn't real

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Speaker 7: until it was. Ilhan Omar is a literal fraud. She's

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Speaker 7: actual fraud. She has committed a crime of immigration fraud

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Speaker 7: by marrying her brother, and so there needs to be

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Speaker 7: consequences for this. President Trump was just talking about it

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Speaker 7: at a rally the other day, saying it's time to

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Speaker 7: throw her out. You know, no one is above the

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Speaker 7: law in this country, especially elected officials like ilhan Omar.

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Speaker 7: What a terrible, terrible example for the people of Minnesota

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Speaker 7: for her to be skirting.

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Speaker 4: Around the law like this.

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Speaker 1: Oh and guess what, Emily she's also skirting around Sharia law.

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Speaker 1: For those people who think that she's a paragon of Islam,

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Speaker 1: she's been in an open, non you know, out of

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Speaker 1: marital relationship with one of her basically like her allies,

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Speaker 1: but political allies, and who's been getting a lot of

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Speaker 1: money from organizations and takes a lot of the money

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Speaker 1: people when people donate to her campaigns. So she's also

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Speaker 1: not exactly miss Sharia Law of the year. This is

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Speaker 1: really to me, this is just an incredible she's a player,

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Speaker 1: she's supported by Cutter and Iran and a lot of

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Speaker 1: other organizations that really hate the United States of America.

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Speaker 1: And the fact that she may have married her brother,

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Speaker 1: and again it looks really like she did. He married

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Speaker 1: her brother on paper. Actually, how would you like this?

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Speaker 1: Marrying your brother on paper is the least of your offenses.

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Speaker 1: That's pretty scary.

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Speaker 6: That's pretty scary.

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Speaker 2: That is pretty scary.

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Speaker 7: Look, there does need to be consequences for the things

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Speaker 7: that ilan Omar has done. But I will ask where

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Speaker 7: is Tim Walls? Why is he not getting involved in this?

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Speaker 7: Why isn't he calling for an investigation? This is happening

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Speaker 7: under his watch in his state? Minnesota has so many

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Speaker 7: problems that they need to get under control.

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Speaker 2: Jake, Yes, and then.

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Speaker 1: The words of Mick Jones and the clash Sharia don't

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Speaker 1: like it all right.

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Speaker 2: Emily Finn, thank you so much for joining us.

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Speaker 1: We'll see you in the next couple of hours on

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Speaker 1: American Sunrise the Big Show, and I'm going to give

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Speaker 1: you an early Happy weekend.

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Speaker 4: Happy weekend, Jake, always great to see you all right.

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Speaker 1: There are a lot of politicians like elon Omar that

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Speaker 1: should be getting lumps of coal in their Christmas stockings.

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Speaker 1: And Birch Gold thinks that because you are a smart planner,

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Speaker 1: you deserve silver in your stocking. That's why for every

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Speaker 1: five thousand dollars you purchase between now and December twenty second,

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Speaker 1: Birch Gold will send you an ounce of silver, which

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Speaker 1: is up over sixty percent this year. You see smart

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Speaker 1: people diversify and have a hedge. That's why I encourage

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Speaker 1: you to buy gold from Birch Gold. With the rate

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Speaker 1: cuts from the Fed we got one this week and

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Speaker 1: more coming in twenty twenty six, the dollar will be

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Speaker 1: worth less. And what happens at the AI bubble bursts,

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Speaker 1: You gotta diversify. Let Birch Gold Group help you convert

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Speaker 1: an existing IRA or four one k into attack sheltered

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Speaker 1: IRA in physical gold, and for every five thousand dollars

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Speaker 1: you buy, you're going to get an ounce of silver

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Speaker 1: for your stocking or for your kids.

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Speaker 2: Hey, what a great way to teach them about saving smartly.

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Speaker 1: Just text America to ninety eight ninety eight ninety eight

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Speaker 1: to claim your eligibility for this offer. Again, text America

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Speaker 1: to the number ninety eight ninety eight ninety eight today

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Speaker 1: Because Birch Gold's free silver with qualifying purchase ends on

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Speaker 1: December twenty second, text.

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Speaker 2: America to ninety eight ninety eight ninety eight. Coming up.

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Speaker 1: You're not going to believe the bad luck one guy

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Speaker 1: in Great Britain had when it comes to parking his car.

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Speaker 1: I mean, this is beyond unbelievable, but it happened, and

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Speaker 1: I'll show you when American Sunrise Early edition comes back.

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Speaker 2: Hey, let's take a look.

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Speaker 1: At where the markets are going to begin today. By

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Speaker 1: the way, Oh, I'm sorry. That is a Bryant Park

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Speaker 1: in New York City. That's right behind the New York

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Speaker 1: Public Library. By the way, talk about a great lesson

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Speaker 1: in capitalism versus socialism. Bryant Park used to be a

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Speaker 1: city owned and controlled park in New York City.

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Speaker 2: It was known as Crack File Park. It was very dangerous.

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Speaker 1: It's small, it's really not a large park, and it

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Speaker 1: was and they gave it over to a private company

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Speaker 1: to manage.

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Speaker 2: And ever since then it's been fantastic.

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Speaker 1: They have this temporary ice skating rink they put in

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Speaker 1: during the winter and Christmas season. It's a great safe

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Speaker 1: place to be in New York City because it is

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Speaker 1: owned and operated by a private company and they make

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Speaker 1: a lot of money off of it for themselves and

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Speaker 1: for the city in sales.

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Speaker 2: Taxes and things like that. Oh, we got one of

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Speaker 2: the skaters there actually did a pretty good move. This

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Speaker 2: is these aren't like amateurs here. Pretty good.

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Speaker 1: All right, Let's take a look at where the markets

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Speaker 1: are going to begin today, and again we have this

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Speaker 1: very interesting dichotomy in the market. This, by the way,

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Speaker 1: yesterday's trade I think was a very good sign for

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Speaker 1: the economy.

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Speaker 2: I'm going to explain.

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Speaker 1: But let's say, as you see, the Dow is up

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Speaker 1: one hundred, the Nasdaq is up more than down more

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Speaker 1: than one hundred, and I actually think this is a

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Speaker 1: good sign for the economy as we take a look

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Speaker 1: real quickly at bitcoin also, and you'll see that bitcoin

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Speaker 1: has been gaining, yeah, at ninety two thousand, so it's

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Speaker 1: starting to make a comeback. Yesterday on the markets, we

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Speaker 1: had a more than six hundred point gain for the

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Speaker 1: Dow and a slight loss for the Nasdaq. A lot

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Speaker 1: of the AI stocks lost money yesterday, and instead of

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Speaker 1: the people who were selling those stocks and taking that

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Speaker 1: cash and either keeping it in cash or buying bonds,

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Speaker 1: investors bought Dow industrial stocks, they bought oil stocks, they

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Speaker 1: bought manufacturing stocks, things like that. That's a very good

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Speaker 1: sign for the economy. They're basically saying, I don't think

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Speaker 1: the economy is crashing. I just think AI is a

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Speaker 1: little overpriced. I'm gonna take this money and I'm gonna

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Speaker 1: put it into something else. I'm gonna put it into

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Speaker 1: another stock. That's a very good sign for the traditional economy.

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Speaker 1: That it tells me that investors believe that in twenty

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Speaker 1: twenty six, when the big beautiful bill really kicks in,

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Speaker 1: when some more of these tax cuts come in, there's

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Speaker 1: going to be a lot more job and manufacturing jobs

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Speaker 1: coming in. Also because of the tariffs forcing manufacturing back

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Speaker 1: to the United States. I'm telling you, folks, yesterday's stock

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Speaker 1: market action was very positive for the economy. When things

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Speaker 1: sell off and you don't put it in cash, you

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Speaker 1: don't hide it in bonds, which is basically saying I'm

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Speaker 1: going to take a loss compared to inflation and just

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Speaker 1: hold on to this for now and hope for the best.

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Speaker 1: That's a really good sign. It's just a really good sign.

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Speaker 1: That means that they believe that AI's a little overpriced.

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Speaker 2: But we know it's very good.

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Speaker 1: It's a good thing to own it, but I'm going

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Speaker 1: to sell some of it and put it into something

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Speaker 1: more traditional in the economy because the economy is going

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Speaker 1: to grow.

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Speaker 2: I think that's very very interesting. I haven't seen that before.

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Speaker 1: Usually if the nasa Q sells off like that and

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Speaker 1: everything goes down, but that wasn't the case yesterday. Okay,

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Speaker 1: ladies and gentlemen, start your engines. This is Moving America

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00:22:31,800 --> 00:22:35,000
Speaker 1: sponsored by Artillery Tea Company, and as we're back to

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Speaker 1: talk about it in just a few minutes. If you

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Speaker 1: So I'm gonna be talking about that in a few moments,

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Speaker 1: but first let's get into our moving America car stories. Well, well, well,

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00:22:49,720 --> 00:22:51,919
Speaker 1: how the worm at the bottom of the tequila glass

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00:22:51,920 --> 00:22:55,080
Speaker 1: has turned. I'm playing a little Mexico joke there. Mexico

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Speaker 1: is now slapping fifty percent tariffs on Chinese autos. And

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Speaker 1: here's why they're doing it. Folks, we all know what

439
00:23:02,840 --> 00:23:06,520
Speaker 1: China's doing. They're selling super low cost electric cars, mostly

440
00:23:06,520 --> 00:23:09,119
Speaker 1: a company called buyd they're the leaders in this, and

441
00:23:09,160 --> 00:23:10,640
Speaker 1: they're doing something called dumping.

442
00:23:11,040 --> 00:23:12,399
Speaker 2: And this is what China can do. When you have

443
00:23:12,440 --> 00:23:13,480
Speaker 2: a communist.

444
00:23:13,000 --> 00:23:16,560
Speaker 1: Government that controls businesses, they can force businesses to sell

445
00:23:16,600 --> 00:23:20,400
Speaker 1: their products overseas at a loss. Too bad, You're gonna

446
00:23:20,400 --> 00:23:22,920
Speaker 1: lose money, that's your problem. And what that does is

447
00:23:22,960 --> 00:23:26,000
Speaker 1: it kills the local competition. This is how China cornered

448
00:23:26,040 --> 00:23:28,720
Speaker 1: the market, by the way, on rare earth mining. They

449
00:23:28,800 --> 00:23:32,040
Speaker 1: offered rare earth at ridiculously low prices so that American

450
00:23:32,080 --> 00:23:35,920
Speaker 1: companies and companies all over the world basically couldn't support

451
00:23:35,960 --> 00:23:38,560
Speaker 1: their own rare earth mining. They're trying to do this

452
00:23:38,600 --> 00:23:41,720
Speaker 1: with electric vehicles, and Mexico's saying, nope, we want to

453
00:23:41,720 --> 00:23:44,280
Speaker 1: have the evs that are made here in Mexico have

454
00:23:44,400 --> 00:23:47,240
Speaker 1: a fighting chance. So they're slapping a fifty percent tariff

455
00:23:47,480 --> 00:23:51,960
Speaker 1: on Mexico on a Chinese made and Chinese imported evs. Now,

456
00:23:52,000 --> 00:23:54,320
Speaker 1: maybe they understand why the United States is doing the

457
00:23:54,359 --> 00:23:56,240
Speaker 1: same thing to them. We're trying to work out a

458
00:23:56,280 --> 00:23:58,600
Speaker 1: deal with them, and I think we're getting close. But

459
00:23:58,920 --> 00:24:01,439
Speaker 1: all that crying about how tarists are bad and they're horrible,

460
00:24:01,560 --> 00:24:04,240
Speaker 1: Mexico's doing it too because they understand what China is

461
00:24:04,280 --> 00:24:07,399
Speaker 1: all about when it comes to dumping. So to me,

462
00:24:07,480 --> 00:24:10,199
Speaker 1: this is a very big vote of confidence and a

463
00:24:10,280 --> 00:24:13,360
Speaker 1: quiet Hey, you were right to President Trump. Here's something

464
00:24:13,400 --> 00:24:16,600
Speaker 1: that won't surprise you either. When it comes to car sales.

465
00:24:16,880 --> 00:24:20,200
Speaker 1: Here in the United States, EV sales fell to six

466
00:24:20,200 --> 00:24:22,359
Speaker 1: point nine percent of the total market of the market

467
00:24:22,440 --> 00:24:25,280
Speaker 1: share from seven point six percent a year earlier. Remember,

468
00:24:25,320 --> 00:24:27,159
Speaker 1: as you said, as I've told you many times on

469
00:24:27,160 --> 00:24:29,199
Speaker 1: this program, and I'm not a genius for saying this,

470
00:24:29,240 --> 00:24:31,640
Speaker 1: I don't think this is hard to get. We'll never

471
00:24:31,720 --> 00:24:33,960
Speaker 1: get more, in my opinion, than ten percent of the

472
00:24:33,960 --> 00:24:36,720
Speaker 1: market share for EV's in this country unless another Joe

473
00:24:36,720 --> 00:24:39,119
Speaker 1: Biden or Barack Obama comes along and says you have

474
00:24:39,200 --> 00:24:40,960
Speaker 1: to buy EV's or we'll throw you in jail, which

475
00:24:41,000 --> 00:24:43,960
Speaker 1: is probably what they'll try if they ever won another election. Anyway,

476
00:24:44,119 --> 00:24:46,679
Speaker 1: it's gone down, but there's an interesting caveat to this.

477
00:24:47,000 --> 00:24:50,520
Speaker 1: While the overall ev market share went down, Tesla's went

478
00:24:50,680 --> 00:24:54,440
Speaker 1: up in October. Tesla is making a very interesting comeback

479
00:24:54,520 --> 00:24:55,680
Speaker 1: as a company right now.

480
00:24:55,880 --> 00:24:57,720
Speaker 2: By the way, Tesla's.

481
00:24:57,240 --> 00:24:59,600
Speaker 1: Shares over the last three months are up more than

482
00:24:59,640 --> 00:25:02,120
Speaker 1: twenty y one percent. So for those of you who

483
00:25:02,119 --> 00:25:05,240
Speaker 1: are writing Tesla's obituary, you were wrong, all right. And

484
00:25:05,280 --> 00:25:08,560
Speaker 1: now another dispatch from the Democrat war on the poor.

485
00:25:09,119 --> 00:25:12,600
Speaker 1: California is moving closer and closer to slapping in either

486
00:25:12,680 --> 00:25:16,680
Speaker 1: two or four cent per mile tax for every mile

487
00:25:16,720 --> 00:25:19,919
Speaker 1: that you drive if you own an EV. Why are

488
00:25:19,920 --> 00:25:22,760
Speaker 1: they doing this Because the EV's don't use gas, and

489
00:25:22,840 --> 00:25:24,359
Speaker 1: when you go to the gas station, you pay a

490
00:25:24,359 --> 00:25:27,760
Speaker 1: big gas tax that goes to maintaining the roads. And

491
00:25:27,880 --> 00:25:30,119
Speaker 1: EV's are heavier and do a lot more damage to

492
00:25:30,119 --> 00:25:32,639
Speaker 1: the road. So I can understand finding some way to

493
00:25:32,720 --> 00:25:36,040
Speaker 1: tax evs for basically the damage they do to the

494
00:25:36,119 --> 00:25:37,399
Speaker 1: roads and the fact that they're not going to the

495
00:25:37,400 --> 00:25:41,280
Speaker 1: gas station. I get that but they're doing it by mileage,

496
00:25:41,720 --> 00:25:43,920
Speaker 1: which means that people who can't afford to live near

497
00:25:43,960 --> 00:25:46,959
Speaker 1: the job centers of central Los Angeles or central San

498
00:25:47,000 --> 00:25:49,760
Speaker 1: Francisco or Oakland and things like that are gonna have.

499
00:25:49,800 --> 00:25:50,400
Speaker 2: To pay more.

500
00:25:50,640 --> 00:25:53,040
Speaker 1: So you can't afford the rents close to your job,

501
00:25:53,119 --> 00:25:55,440
Speaker 1: you gotta live fifty miles away, and now you're gonna

502
00:25:55,440 --> 00:25:57,680
Speaker 1: have to pay even more. This is like congestion pricing.

503
00:25:57,760 --> 00:26:00,840
Speaker 1: This is a war on poorer workers, lower class workers,

504
00:26:00,920 --> 00:26:03,480
Speaker 1: plain and simple. All right, This next story is like

505
00:26:03,560 --> 00:26:05,800
Speaker 1: something out of a Benny Hill sketch. But I promise

506
00:26:05,840 --> 00:26:07,880
Speaker 1: you it's true. I've checked up on it. You're about

507
00:26:07,920 --> 00:26:10,320
Speaker 1: to see video of a poor guy who parked his

508
00:26:10,400 --> 00:26:13,399
Speaker 1: spot in a spot in Britain. It was a legal spot.

509
00:26:13,400 --> 00:26:16,080
Speaker 1: He just parked there, and while his car was parked,

510
00:26:16,359 --> 00:26:18,639
Speaker 1: the cops came, the meter maids came and turned it

511
00:26:18,680 --> 00:26:22,919
Speaker 1: and painted it into a handicap spot. While he was

512
00:26:22,960 --> 00:26:25,320
Speaker 1: parked there, they just changed it and over the course

513
00:26:25,359 --> 00:26:28,600
Speaker 1: of the evening he got four tickets. I mean, this

514
00:26:28,640 --> 00:26:30,480
Speaker 1: has got to be the worst luck I've ever seen.

515
00:26:30,760 --> 00:26:32,600
Speaker 1: But you think he got a good spot, and then

516
00:26:32,600 --> 00:26:34,639
Speaker 1: you come the next morning and suddenly there's new fresh

517
00:26:34,640 --> 00:26:36,840
Speaker 1: pain saying it's a andygas spot and you got four tickets.

518
00:26:37,359 --> 00:26:38,639
Speaker 2: There is a happy ending to this.

519
00:26:38,720 --> 00:26:41,479
Speaker 1: He did get the tickets removed, but he probably had

520
00:26:41,480 --> 00:26:43,040
Speaker 1: to go to court and fight it and lost a

521
00:26:43,040 --> 00:26:44,760
Speaker 1: couple of days worth of work.

522
00:26:45,240 --> 00:26:47,520
Speaker 2: But this is at the worst luck of parking I've

523
00:26:47,520 --> 00:26:48,240
Speaker 2: ever seen in my life.

524
00:26:48,240 --> 00:26:50,800
Speaker 1: All Right, let's talk about Artillery t Code because they

525
00:26:50,800 --> 00:26:53,400
Speaker 1: are the sponsors of this Lovely Moving America segment. Mike

526
00:26:53,440 --> 00:26:55,240
Speaker 1: Britton is one of the co founders. He joins us

527
00:26:55,240 --> 00:26:56,920
Speaker 1: a lot to tell us about cool things going on.

528
00:26:57,280 --> 00:26:58,840
Speaker 1: So I want you to tell us, Mike, what you've

529
00:26:58,840 --> 00:27:01,560
Speaker 1: got going for the holiday gifting season, because I know

530
00:27:01,600 --> 00:27:04,280
Speaker 1: some people who would really appreciate some Artillery tea in

531
00:27:04,320 --> 00:27:04,840
Speaker 1: my family.

532
00:27:06,280 --> 00:27:09,280
Speaker 8: Yeah, morning, Jake. So this year we put together something

533
00:27:09,480 --> 00:27:11,920
Speaker 8: a little different. We haven't done this yet, to put

534
00:27:11,960 --> 00:27:13,720
Speaker 8: together kind of a kit type thing. It's called the

535
00:27:13,760 --> 00:27:16,440
Speaker 8: Precision Brewing Starter Kit. So our tea is a little

536
00:27:16,440 --> 00:27:18,000
Speaker 8: different than the grocery store tea. What you get in

537
00:27:18,080 --> 00:27:20,560
Speaker 8: the grocery store is called tea dust or tea fennels.

538
00:27:20,560 --> 00:27:23,080
Speaker 8: It's the lowest grade you can get. Ours is whole

539
00:27:23,119 --> 00:27:26,600
Speaker 8: leaf that we pack into our biodegradable sachets that have

540
00:27:26,640 --> 00:27:28,679
Speaker 8: no plastic and no glue or anything. But because it's

541
00:27:28,720 --> 00:27:31,520
Speaker 8: whole leaf, you can brew it a little differently. So

542
00:27:31,720 --> 00:27:34,000
Speaker 8: black tea, green tea, herbal tea can brew at different

543
00:27:34,040 --> 00:27:37,240
Speaker 8: temperatures and steep for different times. And so we wanted

544
00:27:37,280 --> 00:27:39,560
Speaker 8: to put together a kit that is kind of an

545
00:27:39,600 --> 00:27:42,360
Speaker 8: all in one solution to this problem. We always say

546
00:27:42,400 --> 00:27:44,359
Speaker 8: you can get two tea or two cups of tea

547
00:27:44,359 --> 00:27:46,399
Speaker 8: excuse me, out of each one of our tea bags,

548
00:27:46,920 --> 00:27:49,000
Speaker 8: and we in this kit we give you the instructions

549
00:27:49,040 --> 00:27:51,919
Speaker 8: on exactly how to do that. So included is a

550
00:27:52,080 --> 00:27:55,040
Speaker 8: thermometer so that you can monitor the temperature for each

551
00:27:55,080 --> 00:27:57,919
Speaker 8: different kind of tea. And the main thing is a

552
00:27:58,000 --> 00:28:01,119
Speaker 8: magnet actually you can stick to your fridge somewhere easy

553
00:28:01,160 --> 00:28:04,920
Speaker 8: to reference that shows you exactly what temperature to brew

554
00:28:04,960 --> 00:28:07,200
Speaker 8: black tea, green tea, and herbal tea and exactly how

555
00:28:07,280 --> 00:28:10,800
Speaker 8: long to steep it in order to get two kind

556
00:28:10,840 --> 00:28:13,679
Speaker 8: of maximum flavorful cups out of each one of our

557
00:28:13,720 --> 00:28:17,480
Speaker 8: tea bags. And so you have the magnet, a thermometer,

558
00:28:17,720 --> 00:28:20,560
Speaker 8: and also an exclusive sticker that you can't get anywhere

559
00:28:20,600 --> 00:28:22,680
Speaker 8: else on our site there's a fifteen percent off discount

560
00:28:22,800 --> 00:28:25,320
Speaker 8: code in there for your next order. And then also

561
00:28:25,400 --> 00:28:29,639
Speaker 8: we have four sample packs of our most popular blends.

562
00:28:29,680 --> 00:28:32,800
Speaker 8: Each sample pack has three sachets in it, and so

563
00:28:32,840 --> 00:28:35,199
Speaker 8: you can get six cups out of each one of

564
00:28:35,200 --> 00:28:37,399
Speaker 8: those sample packs for a total of twenty four cups.

565
00:28:37,400 --> 00:28:40,400
Speaker 8: So again, all in one kit has everything you need

566
00:28:40,440 --> 00:28:42,920
Speaker 8: in it to be able to expertly brew Black Green

567
00:28:42,960 --> 00:28:47,000
Speaker 8: and Herbal Tea get the maximum volume out of the product.

568
00:28:47,720 --> 00:28:49,200
Speaker 1: All right, Mike, I want to make two points here.

569
00:28:49,240 --> 00:28:51,280
Speaker 1: First of all, look into the packaging that we were

570
00:28:51,320 --> 00:28:52,920
Speaker 1: just showing you. You know, like when you were a kid

571
00:28:53,240 --> 00:28:55,040
Speaker 1: and your parents got you a gift, you know, for

572
00:28:55,120 --> 00:28:57,920
Speaker 1: Christmas or your birthday, and you like the box better.

573
00:28:58,120 --> 00:28:59,920
Speaker 1: I mean, I think I'm gonna play with this box

574
00:29:00,120 --> 00:29:03,120
Speaker 1: here more than the actual That's one thing.

575
00:29:03,120 --> 00:29:04,480
Speaker 2: It's very it's naszy packaging.

576
00:29:04,720 --> 00:29:08,479
Speaker 1: Also, you know, look, this isn't just brewing up a

577
00:29:08,480 --> 00:29:11,840
Speaker 1: cup of tea anymore. You're like the potions master at Hogwarts.

578
00:29:12,080 --> 00:29:15,479
Speaker 1: We got the thermometer, we've got the instructions. Is this

579
00:29:15,560 --> 00:29:17,440
Speaker 1: like the Half Blood Princes book where we're gonna find

580
00:29:17,440 --> 00:29:19,960
Speaker 1: out all these special things we're gonna do is.

581
00:29:19,920 --> 00:29:22,560
Speaker 2: There a hack here, Mike? I mean, actually, what I

582
00:29:22,560 --> 00:29:23,600
Speaker 2: love about this is that.

583
00:29:23,640 --> 00:29:25,920
Speaker 1: It's more than just a passive exercise. It's kind of

584
00:29:25,960 --> 00:29:28,280
Speaker 1: like watching this program. I tell everyone, it's not passive

585
00:29:28,280 --> 00:29:30,800
Speaker 1: comment on get or comment on Rumble and X. This

586
00:29:30,640 --> 00:29:33,360
Speaker 1: is more of like an activity, you know, that you

587
00:29:33,360 --> 00:29:34,280
Speaker 1: can do with the loved one.

588
00:29:34,320 --> 00:29:34,760
Speaker 2: I love that.

589
00:29:35,880 --> 00:29:37,440
Speaker 8: Yeah, as you said, Harry Potter, I don't know if

590
00:29:37,440 --> 00:29:40,040
Speaker 8: the audience will get this reference, but I immediately thought, yes,

591
00:29:40,080 --> 00:29:43,960
Speaker 8: this is exactly like the Half Blood Prince's Potions book

592
00:29:44,000 --> 00:29:46,160
Speaker 8: that has all the tips and tricks to get to

593
00:29:46,720 --> 00:29:49,320
Speaker 8: exactly brew it the right way. And so that's exactly

594
00:29:49,360 --> 00:29:52,160
Speaker 8: what it is. And we're also doing a limited time

595
00:29:52,280 --> 00:29:54,960
Speaker 8: so it's already twenty dollars off. Right, it's a ninety

596
00:29:55,000 --> 00:29:57,280
Speaker 8: dollars value. We offer it for seventy dollars all the time,

597
00:29:57,360 --> 00:29:58,760
Speaker 8: free shipping on all these things.

598
00:29:59,040 --> 00:30:02,040
Speaker 2: But for next week or two we're.

599
00:30:01,840 --> 00:30:03,760
Speaker 8: Going to offer an extra ten percent off with that

600
00:30:03,840 --> 00:30:05,840
Speaker 8: code brew kit that you see on the screen there.

601
00:30:06,720 --> 00:30:09,400
Speaker 1: Oh my goodness, that's amazing, And thank you for getting

602
00:30:09,400 --> 00:30:13,280
Speaker 1: my Harry Potter references. I you know, by the way,

603
00:30:13,400 --> 00:30:15,560
Speaker 1: jk Rowling, I mean I already liked the Harry Potter books,

604
00:30:15,560 --> 00:30:18,120
Speaker 1: but JK. Rowling's public statements over the last few years

605
00:30:18,120 --> 00:30:20,720
Speaker 1: has made me love them even more. Mike, just before

606
00:30:20,760 --> 00:30:24,880
Speaker 1: we go, it's Christmas season, holiday season for everyone, new year.

607
00:30:25,800 --> 00:30:27,959
Speaker 1: Tell us what's been the most rewarding thing just this

608
00:30:28,080 --> 00:30:30,480
Speaker 1: year for you working working with this company that you

609
00:30:30,520 --> 00:30:31,120
Speaker 1: co founded.

610
00:30:32,080 --> 00:30:34,360
Speaker 8: Yeah, this will be the fourth calendar year for our company,

611
00:30:34,440 --> 00:30:36,440
Speaker 8: and so we're starting to get a little momentum with

612
00:30:36,520 --> 00:30:39,240
Speaker 8: our growth here. And one of the great things about that, Jake,

613
00:30:39,320 --> 00:30:42,200
Speaker 8: is that we're finally able to do more for veterans

614
00:30:42,200 --> 00:30:45,160
Speaker 8: and first responders that we wanted to do this whole time,

615
00:30:45,560 --> 00:30:48,800
Speaker 8: and so recently, actually just last week, I submitted the

616
00:30:48,840 --> 00:30:51,479
Speaker 8: finances for this. I've announced on the show before. We're

617
00:30:51,520 --> 00:30:54,560
Speaker 8: working with a nonprofit called Working Dogs for Vets, And

618
00:30:54,760 --> 00:30:58,000
Speaker 8: just last week we were able to finance a whole

619
00:30:58,040 --> 00:31:01,880
Speaker 8: service animal, a whole dog, the whole training program and

620
00:31:01,960 --> 00:31:03,959
Speaker 8: provide it to a veteran too, And so I just

621
00:31:03,960 --> 00:31:07,560
Speaker 8: did that last week. We're still waiting for details on

622
00:31:07,680 --> 00:31:10,440
Speaker 8: you know, witch dog Days and the veteran and his backstory,

623
00:31:10,440 --> 00:31:11,840
Speaker 8: and so I hope you'll be able to share that

624
00:31:11,880 --> 00:31:15,640
Speaker 8: with the rev family soon. But yeah, that's definitely been

625
00:31:15,680 --> 00:31:17,440
Speaker 8: by far the most rewarning thing we've been able to

626
00:31:17,480 --> 00:31:19,200
Speaker 8: do this year. Hope, hope to be able to do

627
00:31:19,240 --> 00:31:19,640
Speaker 8: it more.

628
00:31:21,080 --> 00:31:22,960
Speaker 1: That's a great story. All right, Mike Britten, the boy

629
00:31:22,960 --> 00:31:25,320
Speaker 1: who lived Artillery t Co. Thank you so much for

630
00:31:25,400 --> 00:31:27,680
Speaker 1: joining us. I know you'll be joining us pretty soon again.

631
00:31:27,800 --> 00:31:31,040
Speaker 1: And remember Artillery we talk. Artillerytco dot Com is something

632
00:31:31,040 --> 00:31:33,160
Speaker 1: you mentioned every day on this program, and I'm proud

633
00:31:33,200 --> 00:31:35,440
Speaker 1: to do it. If I don't see you before Christmas

634
00:31:35,440 --> 00:31:37,040
Speaker 1: in the new year, have at Mary Christmas and a

635
00:31:37,040 --> 00:31:37,640
Speaker 1: happy New Year.

636
00:31:38,480 --> 00:31:38,960
Speaker 6: Thanks Jake.

637
00:31:39,800 --> 00:31:43,760
Speaker 1: All Right, coming up AI is like a plagiarisim machine

638
00:31:44,640 --> 00:31:46,200
Speaker 1: and the New York Times is fuming.

639
00:31:46,240 --> 00:31:48,680
Speaker 2: Oh they're so upset. I'll have the latest and later.

640
00:31:49,480 --> 00:31:54,440
Speaker 1: Progressives like to make fun of parents in those hilarious commercials.

641
00:31:54,480 --> 00:31:57,160
Speaker 1: When I say progressives, I mean progressive insurance. You know

642
00:31:57,240 --> 00:31:59,720
Speaker 1: those don't become like your parents' commercials. But I think

643
00:31:59,760 --> 00:32:02,400
Speaker 1: there's a lesson to be learned from those commercials that

644
00:32:02,560 --> 00:32:05,040
Speaker 1: just dawned on me, and beyond just the humor.

645
00:32:05,520 --> 00:32:19,200
Speaker 2: American Sunrise Early Edition will be right back. It's Friday,

646
00:32:19,280 --> 00:32:20,040
Speaker 2: December twelfth.

647
00:32:20,040 --> 00:32:22,440
Speaker 1: Here. This morning's top story is the sound and the

648
00:32:22,480 --> 00:32:24,200
Speaker 1: fury signifying nothing.

649
00:32:24,240 --> 00:32:26,760
Speaker 2: That's Shakespeare. By the way, both.

650
00:32:26,720 --> 00:32:30,280
Speaker 1: The Obamacare extension bill and the Obamacare replacement bill were

651
00:32:30,320 --> 00:32:33,640
Speaker 1: both voted down in the Senate, and now we're going

652
00:32:33,720 --> 00:32:35,720
Speaker 1: to have the Democrats crying about this all the way

653
00:32:35,720 --> 00:32:38,960
Speaker 1: through the midterms. Gotta find some way around this. So far,

654
00:32:39,160 --> 00:32:44,440
Speaker 1: no success. Charlie Kirk's alleged assassin, Tyler Robinson, smiles and

655
00:32:44,520 --> 00:32:48,480
Speaker 1: smirks as he makes his first court appearance since that murder.

656
00:32:49,080 --> 00:32:51,560
Speaker 1: But there's still too much secrecy around the proceedings. This

657
00:32:51,640 --> 00:32:53,800
Speaker 1: was one of the rare times we've actually seen a

658
00:32:53,840 --> 00:32:56,880
Speaker 1: courtroom proceeding with this guy.

659
00:32:57,640 --> 00:32:59,600
Speaker 2: One tanker down, several more to go.

660
00:33:00,200 --> 00:33:03,000
Speaker 1: The Trump administration declaire, is just about all of the

661
00:33:03,080 --> 00:33:06,120
Speaker 1: Venezuelan oil out there to be fair game in the

662
00:33:06,160 --> 00:33:08,480
Speaker 1: war against terrorism and narco terrorism.

663
00:33:08,640 --> 00:33:09,320
Speaker 2: It's called the.

664
00:33:09,320 --> 00:33:12,320
Speaker 1: Monroe doctrine, folks, and we're going after the money flowing

665
00:33:12,320 --> 00:33:17,160
Speaker 1: to Nicolas Madoro and his family directly as well. And

666
00:33:17,240 --> 00:33:19,640
Speaker 1: the worm at the bottom of the tequila glass is

667
00:33:19,680 --> 00:33:25,440
Speaker 1: turning now. It's Mexico slapping tarrifs on China, specifically China's

668
00:33:25,480 --> 00:33:26,880
Speaker 1: chief electric car imports.

669
00:33:27,640 --> 00:33:29,920
Speaker 2: There's shine bound the president of Mexico.

670
00:33:29,960 --> 00:33:39,520
Speaker 1: American Sunrise early edition continues, Now, are there bars where

671
00:33:39,520 --> 00:33:41,400
Speaker 1: you can still get a worm at the bottom of

672
00:33:41,400 --> 00:33:42,200
Speaker 1: the tequila glass?

673
00:33:42,280 --> 00:33:43,880
Speaker 2: Let me know if you've been to one lately.

674
00:33:44,360 --> 00:33:46,600
Speaker 1: I'm not interested in that necessarily for myself, but I'd

675
00:33:46,600 --> 00:33:50,240
Speaker 1: like to know that people are still following traditions. But yes,

676
00:33:50,280 --> 00:33:53,160
Speaker 1: the worm has turned, with Mexico now slapping tarifs on China.

677
00:33:53,360 --> 00:33:54,720
Speaker 2: Come on, you knew this was gonna happen.

678
00:33:55,440 --> 00:33:57,400
Speaker 1: A lot of that news breaking overnight. Another thing I

679
00:33:57,400 --> 00:33:59,040
Speaker 1: wasn't able to get to yet on this hour, but

680
00:33:59,120 --> 00:34:00,280
Speaker 1: I know they're going to be talking about it in

681
00:34:00,280 --> 00:34:04,840
Speaker 1: an American Sunrise. Is President Trump pardoning Tina Peters, the

682
00:34:04,880 --> 00:34:08,399
Speaker 1: prisoner of conscience conscious in Colorado, who all she did

683
00:34:08,480 --> 00:34:12,200
Speaker 1: was access some records showing irregularities in the twenty twenty election,

684
00:34:12,480 --> 00:34:14,680
Speaker 1: and she's serving a nine year prison sentence for that.

685
00:34:14,800 --> 00:34:18,560
Speaker 1: Unbelievable Hopefully this pardon will start the process of actually

686
00:34:18,600 --> 00:34:22,800
Speaker 1: getting out of prison. But remember she's there on state charges,

687
00:34:23,320 --> 00:34:26,280
Speaker 1: and it's not clear whether a federal pardon for President

688
00:34:26,280 --> 00:34:27,600
Speaker 1: Trump will completely get her out.

689
00:34:27,640 --> 00:34:29,400
Speaker 2: It's going to be a legal battle. But this, I

690
00:34:29,400 --> 00:34:32,359
Speaker 2: think is a good development. Joining us right now that to.

691
00:34:32,320 --> 00:34:33,839
Speaker 1: Talk about some other things that we've got to get

692
00:34:33,840 --> 00:34:36,320
Speaker 1: to because it's a busy news day. Is tech expert

693
00:34:36,360 --> 00:34:39,200
Speaker 1: and the founder of AML Global and live shoots and

694
00:34:40,080 --> 00:34:43,680
Speaker 1: The New York Times is suing an AI startup. It's

695
00:34:43,680 --> 00:34:46,359
Speaker 1: called Perplexity because to me, this is to me, this

696
00:34:46,400 --> 00:34:49,359
Speaker 1: is a no brainer. You ask AI certain questions, AI

697
00:34:49,360 --> 00:34:52,239
Speaker 1: program certain questions and they give you this information word

698
00:34:52,280 --> 00:34:54,800
Speaker 1: for word from you know, listen, I don't love the

699
00:34:54,840 --> 00:34:55,359
Speaker 1: New York Times.

700
00:34:55,400 --> 00:34:57,160
Speaker 2: I haven't looked at it in years. I can't stand it.

701
00:34:57,320 --> 00:35:00,239
Speaker 1: But they're probably AI programs have probably taken me any

702
00:35:00,400 --> 00:35:02,680
Speaker 1: of the thousands of articles I've written before and just

703
00:35:02,760 --> 00:35:05,439
Speaker 1: taken it. I mean, that's just blatant plagiarism. I'm sorry,

704
00:35:05,640 --> 00:35:07,440
Speaker 1: I'm kind of rooting for the Times on this one.

705
00:35:09,960 --> 00:35:11,000
Speaker 4: Yeah, good morning, Jake.

706
00:35:11,120 --> 00:35:16,959
Speaker 9: So while AI is complicated technology and sophisticated technology, we're

707
00:35:17,000 --> 00:35:20,799
Speaker 9: dealing with straightforward copyright law here. Maybe complicated technology, but

708
00:35:20,800 --> 00:35:25,080
Speaker 9: it's very straightforward copyright law. So what Perplexity AI is

709
00:35:25,120 --> 00:35:29,600
Speaker 9: doing is instead of a search engine, they build themselves

710
00:35:29,640 --> 00:35:32,440
Speaker 9: as an answer engine, and they have technology that scrapes

711
00:35:32,480 --> 00:35:36,920
Speaker 9: the websites, copies that information and then analyzes it and

712
00:35:37,080 --> 00:35:40,360
Speaker 9: reproduces it in the form of answers. But the issue

713
00:35:40,360 --> 00:35:42,279
Speaker 9: here is we have to get into copyright law. So

714
00:35:42,320 --> 00:35:45,040
Speaker 9: copyright laws federal law. There's only one set of laws

715
00:35:45,080 --> 00:35:49,000
Speaker 9: in the United States. Federal copyright law gives exclusive rights

716
00:35:49,040 --> 00:35:52,280
Speaker 9: to the copyright holder. And one of those exclusive rights

717
00:35:52,480 --> 00:35:55,200
Speaker 9: is the right to copy work. And another exclusive right

718
00:35:55,320 --> 00:35:58,000
Speaker 9: is the right to reproduce the work. And only the

719
00:35:58,040 --> 00:35:59,200
Speaker 9: copyright holder.

720
00:35:58,920 --> 00:35:59,440
Speaker 4: Can do that.

721
00:36:00,239 --> 00:36:02,960
Speaker 9: It doesn't matter whether it's a business purpose, doesn't matter.

722
00:36:03,239 --> 00:36:04,920
Speaker 4: Only the copyright holder can do that.

723
00:36:05,560 --> 00:36:09,480
Speaker 9: And what the technology is doing in its process is

724
00:36:09,520 --> 00:36:12,440
Speaker 9: it's copying the work. And then when it is answering

725
00:36:12,440 --> 00:36:14,800
Speaker 9: the questions, the Times is saying some of this information

726
00:36:14,880 --> 00:36:19,040
Speaker 9: is verbatim, so it's reproducing the work. So the charges

727
00:36:19,160 --> 00:36:21,600
Speaker 9: are that they are violating the exclusive right of the

728
00:36:21,640 --> 00:36:24,799
Speaker 9: holder in terms of the right of reproduction and the

729
00:36:24,880 --> 00:36:30,120
Speaker 9: right of distribution. And in this case, in this case,

730
00:36:30,120 --> 00:36:32,600
Speaker 9: I'm actually surprised we haven't seen a lot more of

731
00:36:32,640 --> 00:36:35,440
Speaker 9: these lawsuits. This is actually the second major lawsuit that

732
00:36:35,920 --> 00:36:38,640
Speaker 9: New York Times is brought against an AI company. But

733
00:36:38,760 --> 00:36:40,840
Speaker 9: I'm surprised that we haven't seen a lot more. And

734
00:36:40,880 --> 00:36:42,200
Speaker 9: I think we'll see a lot more to come.

735
00:36:43,280 --> 00:36:45,280
Speaker 1: Well, maybe one of the reasons why is that apparently

736
00:36:45,320 --> 00:36:47,480
Speaker 1: AI is taking over all the jobs of first and

737
00:36:47,520 --> 00:36:50,080
Speaker 1: second year associates at all the fancy law firms, and

738
00:36:50,160 --> 00:36:51,839
Speaker 1: AI is not ratting itself out.

739
00:36:52,480 --> 00:36:53,120
Speaker 2: Maybe that's why.

740
00:36:53,520 --> 00:36:55,560
Speaker 1: But in all seriousness, and this reminds me of where

741
00:36:55,600 --> 00:36:57,479
Speaker 1: we were, I don't know. Was it ten years ago, twelve,

742
00:36:57,520 --> 00:37:00,560
Speaker 1: thirteen years ago when a lot of the websites, but

743
00:37:00,640 --> 00:37:02,200
Speaker 1: especially I think it was the Wall Street Journal that

744
00:37:02,239 --> 00:37:04,440
Speaker 1: really took the lead on this God have said about

745
00:37:04,440 --> 00:37:08,400
Speaker 1: Google and Google basically pawning stuff off as if it

746
00:37:08,440 --> 00:37:11,640
Speaker 1: was their own published material. Facebook had got in trouble

747
00:37:11,680 --> 00:37:16,880
Speaker 1: over this as well. Could we see a similar resolution, Well, a.

748
00:37:16,880 --> 00:37:20,160
Speaker 9: Little bit of a difference between how Google displays information

749
00:37:20,239 --> 00:37:23,000
Speaker 9: and how Perplexity AI is displaying information.

750
00:37:23,480 --> 00:37:25,120
Speaker 4: It's kind of the building of.

751
00:37:25,080 --> 00:37:29,600
Speaker 9: A search engine versus an answer engine, and the way,

752
00:37:29,920 --> 00:37:32,400
Speaker 9: you know, historically, the way Google displays information is it

753
00:37:32,400 --> 00:37:36,160
Speaker 9: gives you direct links to the information, whereas Perplexity AI

754
00:37:36,520 --> 00:37:40,440
Speaker 9: presents the information and presents the content and present and

755
00:37:40,719 --> 00:37:45,880
Speaker 9: therefore is both displaying it as content that is its own.

756
00:37:46,160 --> 00:37:50,279
Speaker 9: But there's a copying process, there's a distribution process when

757
00:37:50,280 --> 00:37:53,719
Speaker 9: it presents the answer that incorporates the information. So we

758
00:37:53,760 --> 00:37:59,880
Speaker 9: may see similarities, and we may see similarities in our

759
00:38:00,080 --> 00:38:02,120
Speaker 9: comes to the lawsuit, but we do have a different

760
00:38:02,160 --> 00:38:05,480
Speaker 9: function here, and I just want to separate that. When

761
00:38:05,520 --> 00:38:10,200
Speaker 9: we're looking at copyright violations in copyright lawsuits, those are

762
00:38:10,239 --> 00:38:13,240
Speaker 9: different than anti trust claims that might be brought.

763
00:38:13,640 --> 00:38:14,960
Speaker 2: All right, that's a good point.

764
00:38:14,960 --> 00:38:16,959
Speaker 1: All right, Let's get to something really sexy here, because

765
00:38:17,000 --> 00:38:20,160
Speaker 1: I think this is this bidding war for Warner Brothers Discovery,

766
00:38:20,200 --> 00:38:22,160
Speaker 1: because it's really this has taken me back to the

767
00:38:22,160 --> 00:38:25,200
Speaker 1: eighties and hostile takeovers again. I urge everyone to read

768
00:38:25,239 --> 00:38:27,800
Speaker 1: the book Barbarians at the Gate about the RJR Nabisco

769
00:38:28,160 --> 00:38:31,319
Speaker 1: takeover battle. This to me is really cool what's going on,

770
00:38:31,360 --> 00:38:32,920
Speaker 1: because it's just kind of fun how every single day

771
00:38:32,920 --> 00:38:34,440
Speaker 1: the bids are getting higher and stuff like that. But

772
00:38:34,480 --> 00:38:37,880
Speaker 1: you know what, maybe the winner will be the loser.

773
00:38:38,000 --> 00:38:40,960
Speaker 1: I can't help thinking about the big AOL Time Warner merger.

774
00:38:41,040 --> 00:38:43,239
Speaker 1: I was actually working at a Time Warner subsidiary at

775
00:38:43,239 --> 00:38:44,959
Speaker 1: the time, one.

776
00:38:44,880 --> 00:38:47,080
Speaker 2: Hundred billion dollars for them to buy AOL.

777
00:38:47,160 --> 00:38:50,160
Speaker 1: Had that work out, it actually wasn't a complete flob

778
00:38:50,200 --> 00:38:54,160
Speaker 1: because at least it created a marriage between content creators

779
00:38:54,160 --> 00:38:56,440
Speaker 1: and the Internet, which we know, of course is all

780
00:38:56,480 --> 00:38:59,920
Speaker 1: the rage now and has been ever since. Still from that,

781
00:39:00,080 --> 00:39:02,799
Speaker 1: for that corporation itself, it was not a winner. You know,

782
00:39:02,880 --> 00:39:06,320
Speaker 1: maybe a huge conglomerate of a Netflix and Warners together,

783
00:39:06,440 --> 00:39:09,280
Speaker 1: or a paramount and Warners together, maybe that actually won't

784
00:39:09,280 --> 00:39:11,680
Speaker 1: be a good thing. Maybe they shouldn't, maybe they should

785
00:39:11,680 --> 00:39:12,400
Speaker 1: be happy to lose.

786
00:39:14,200 --> 00:39:14,399
Speaker 2: Well.

787
00:39:14,520 --> 00:39:17,719
Speaker 9: So, so yeah, this has been an interesting story to read.

788
00:39:17,760 --> 00:39:20,160
Speaker 9: There's a lot been going on in media and media

789
00:39:20,239 --> 00:39:22,560
Speaker 9: mergers and it's kind of exciting and so on.

790
00:39:22,560 --> 00:39:25,640
Speaker 4: One aspect of this, you know, we have the bidding wars.

791
00:39:25,680 --> 00:39:27,960
Speaker 9: We have what's called a hostile you know, you know,

792
00:39:28,000 --> 00:39:31,040
Speaker 9: an attempt at a hostile takeover. That's where a company

793
00:39:31,080 --> 00:39:33,360
Speaker 9: a comes in and goes directly, it feels directly to

794
00:39:33,400 --> 00:39:36,319
Speaker 9: the shareholders and says, hey, this offer isn't good for you.

795
00:39:36,400 --> 00:39:39,960
Speaker 9: I understand that the border directors and corporate management as

796
00:39:40,000 --> 00:39:42,400
Speaker 9: elected to go with this at you know, with this buyer,

797
00:39:42,680 --> 00:39:45,200
Speaker 9: but this isn't the best value for shareholders, and we

798
00:39:45,239 --> 00:39:48,040
Speaker 9: want shareholders to reject it. So we've got the excitement

799
00:39:48,160 --> 00:39:51,880
Speaker 9: of the hostile takeover. But then on the other side,

800
00:39:52,560 --> 00:39:56,120
Speaker 9: the legal side of it is going to introduce a

801
00:39:56,160 --> 00:39:59,440
Speaker 9: lot of uncertainty here, So not only how what's the

802
00:39:59,480 --> 00:40:02,200
Speaker 9: outcome to be in terms of which company wins, but

803
00:40:02,440 --> 00:40:06,640
Speaker 9: there is a government review that will take place over

804
00:40:06,680 --> 00:40:11,040
Speaker 9: this merger or acquisition, whatever legal structure prevails. But it's

805
00:40:11,080 --> 00:40:15,880
Speaker 9: not just about whether it's going to be Skuiddance paramount,

806
00:40:15,960 --> 00:40:18,439
Speaker 9: or whether it's going to be Netflix, or whether about

807
00:40:18,520 --> 00:40:22,000
Speaker 9: it's this administration. There is a government review process that

808
00:40:22,440 --> 00:40:25,440
Speaker 9: is designed to look at these mergers and acquisitions to

809
00:40:25,560 --> 00:40:29,759
Speaker 9: protect consumer concerns. And specifically, we're gonna have a lot

810
00:40:29,800 --> 00:40:31,960
Speaker 9: of uncertainty on a lot for a long time as

811
00:40:31,960 --> 00:40:34,520
Speaker 9: to whether or not this acquisition and merger takes place

812
00:40:35,000 --> 00:40:37,320
Speaker 9: because there's something called the Clayton Act, and the Clayton

813
00:40:37,360 --> 00:40:40,840
Speaker 9: Act allows the FTC to step in and review these

814
00:40:41,200 --> 00:40:44,239
Speaker 9: to make sure that the merger isn't going to reduce competition,

815
00:40:44,680 --> 00:40:50,600
Speaker 9: create monopolies, create antitrust concerns for the American public, both

816
00:40:50,600 --> 00:40:52,480
Speaker 9: in terms of whether or not it's going to concentrate

817
00:40:52,480 --> 00:40:54,760
Speaker 9: a market in one hand, such as the streaming market,

818
00:40:55,200 --> 00:40:59,640
Speaker 9: or whether it directly affects consumers pricing or whether or not.

819
00:40:59,719 --> 00:41:01,400
Speaker 4: It's also going to impact.

820
00:41:00,960 --> 00:41:03,839
Speaker 9: Creator, you know, the creative industry and the creators and

821
00:41:04,040 --> 00:41:07,200
Speaker 9: provide them not enough competition in places to bring their content.

822
00:41:07,560 --> 00:41:10,840
Speaker 4: So we're going to have a lot of anti trust questions.

823
00:41:10,360 --> 00:41:13,640
Speaker 9: And a big review by the Federal Trade Commission as

824
00:41:13,680 --> 00:41:15,799
Speaker 9: to whether or not this full merger could take place.

825
00:41:15,840 --> 00:41:18,160
Speaker 9: Regardless of whoever ultimate wins the.

826
00:41:18,160 --> 00:41:20,799
Speaker 1: Bidding war, well, I'll say something. One of the things

827
00:41:20,840 --> 00:41:22,759
Speaker 1: they can do is win over the public. And if

828
00:41:22,800 --> 00:41:24,600
Speaker 1: your Netflix and your listening, if you want to buy

829
00:41:24,640 --> 00:41:28,000
Speaker 1: Warner Brothers, promise me that you'll do a fifteen episode

830
00:41:28,080 --> 00:41:31,160
Speaker 1: story about Yosemite, Sam, Daffy Duck and Bugs Bunny from

831
00:41:31,160 --> 00:41:33,160
Speaker 1: all those Warner Brothers looney tunes, and then maybe I'll

832
00:41:33,200 --> 00:41:36,960
Speaker 1: support it. All kidding aside, Actually I don't understand why

833
00:41:36,960 --> 00:41:38,879
Speaker 1: companies don't do that when they're in a hostile bidding war.

834
00:41:39,120 --> 00:41:41,160
Speaker 1: Show us what you're gonna give us when you merge,

835
00:41:41,160 --> 00:41:43,160
Speaker 1: and they don't actually do that, and liveshoots.

836
00:41:43,160 --> 00:41:44,279
Speaker 2: Thank you so much for joining us.

837
00:41:44,320 --> 00:41:46,759
Speaker 1: Have a great weekend, and hopefully you want to watch

838
00:41:46,800 --> 00:41:48,399
Speaker 1: too many cartoons this weekend, because I.

839
00:41:48,320 --> 00:41:52,200
Speaker 4: Will be have a great weekend. Thanks Jake, all.

840
00:41:52,160 --> 00:41:52,839
Speaker 2: Right coming up.

841
00:41:53,040 --> 00:41:55,919
Speaker 1: You know those progressive insurance ads that make a little

842
00:41:56,000 --> 00:41:59,640
Speaker 1: light fun of the annoying things our parents do. I'd

843
00:41:59,680 --> 00:42:01,719
Speaker 1: like to shore a heartwarming thought about them that just

844
00:42:01,760 --> 00:42:03,560
Speaker 1: came to me a couple of days ago. David Brodie's

845
00:42:03,600 --> 00:42:05,640
Speaker 1: gonna help me do that when American.

846
00:42:05,400 --> 00:42:07,040
Speaker 2: Sunrise Early edition comes right back.

847
00:42:26,800 --> 00:42:29,200
Speaker 1: You're looking at video of the lighting of the Rockefeller

848
00:42:29,280 --> 00:42:32,200
Speaker 1: Center Christmas Tree yesterday evening last evening.

849
00:42:33,640 --> 00:42:35,480
Speaker 2: Beautiful sight. A lot of people come to the city

850
00:42:35,520 --> 00:42:36,720
Speaker 2: for it, but you may.

851
00:42:36,600 --> 00:42:40,719
Speaker 1: Notice people are pretty far away from the actual tree.

852
00:42:41,239 --> 00:42:43,440
Speaker 2: They are pushing the crowds further and further away from

853
00:42:43,480 --> 00:42:44,200
Speaker 2: the actual.

854
00:42:43,920 --> 00:42:48,319
Speaker 1: Tree and display because they're worried about protesters vandalizing it.

855
00:42:49,320 --> 00:42:51,319
Speaker 2: Sooner or later, they might even just cancel the whole thing.

856
00:42:51,360 --> 00:42:53,319
Speaker 1: They do that in Europe, by the way, so that

857
00:42:53,320 --> 00:42:55,839
Speaker 1: they can make the terrorists feel better.

858
00:42:56,040 --> 00:42:59,280
Speaker 2: It's frustrating. There's a lot of news overnight.

859
00:42:59,440 --> 00:43:01,239
Speaker 1: As I said, the of the program can't cover it

860
00:43:01,280 --> 00:43:03,040
Speaker 1: all just in this program, So please stay tuned for

861
00:43:03,080 --> 00:43:06,200
Speaker 1: the next couple of hours of American Sunrise, because one

862
00:43:06,200 --> 00:43:07,720
Speaker 1: thing I didn't even get to is that the Indiana

863
00:43:07,800 --> 00:43:11,920
Speaker 1: legislator decided not to do the redistricting plan that President

864
00:43:11,920 --> 00:43:14,640
Speaker 1: Trump and everyone else wanted. So a victory for the

865
00:43:14,640 --> 00:43:18,080
Speaker 1: Democrats there because a couple of Republicans cross party lines.

866
00:43:18,120 --> 00:43:19,839
Speaker 1: So we'll get to that too. A lot of things

867
00:43:19,840 --> 00:43:21,640
Speaker 1: to talk about, but I want to end this hour

868
00:43:21,760 --> 00:43:26,400
Speaker 1: on a non manufactured, non phony, heartwarming note because this

869
00:43:26,440 --> 00:43:28,319
Speaker 1: came to me very organically over the week.

870
00:43:28,360 --> 00:43:28,640
Speaker 2: Folks.

871
00:43:28,680 --> 00:43:31,239
Speaker 1: You know those ads for Progressive Insurance. I think they

872
00:43:31,239 --> 00:43:33,400
Speaker 1: are the funniest ads on television where they talk about

873
00:43:33,440 --> 00:43:36,840
Speaker 1: how becoming owner might make you turn into your parents

874
00:43:37,080 --> 00:43:39,279
Speaker 1: and you take on some of their annoying, our little

875
00:43:39,320 --> 00:43:41,879
Speaker 1: quirky habits. There's one and it's the doctor Rick. That's

876
00:43:41,880 --> 00:43:43,400
Speaker 1: the name of the character who goes and tries.

877
00:43:43,239 --> 00:43:43,759
Speaker 2: To help them.

878
00:43:44,239 --> 00:43:46,239
Speaker 1: Something dawned on me during the week though, that, you

879
00:43:46,280 --> 00:43:47,560
Speaker 1: know what, we should be so lucky.

880
00:43:47,600 --> 00:43:50,239
Speaker 2: Almost every behavior, as David Brody.

881
00:43:50,040 --> 00:43:53,279
Speaker 1: Joins us, almost every behavior they make fun of in

882
00:43:53,960 --> 00:43:59,160
Speaker 1: those commercials is a heartwarming, outgoing friendly behavior. Usually it's

883
00:43:59,200 --> 00:44:02,319
Speaker 1: the homeowner going and talking to someone a little bit

884
00:44:02,320 --> 00:44:05,040
Speaker 1: too much, maybe offering a little bit too much friendship,

885
00:44:06,000 --> 00:44:07,600
Speaker 1: basically being friendlier.

886
00:44:08,040 --> 00:44:10,319
Speaker 2: And you know what, in this day when we're pretending to.

887
00:44:10,239 --> 00:44:12,000
Speaker 1: Talk to each other on our phones, because that's not

888
00:44:12,040 --> 00:44:14,279
Speaker 1: real when you're texting and things like that. You know what,

889
00:44:14,320 --> 00:44:16,400
Speaker 1: we should be so lucky if our parents are the

890
00:44:16,440 --> 00:44:18,400
Speaker 1: kinds of people who were friendly to strangers, offer them

891
00:44:18,400 --> 00:44:20,400
Speaker 1: a little advice about what to order at a restaurant,

892
00:44:20,520 --> 00:44:22,520
Speaker 1: tried to help the guy who ordered his coffee get it.

893
00:44:22,640 --> 00:44:24,759
Speaker 2: You know, that should be our biggest sin. David, I'm sorry,

894
00:44:24,800 --> 00:44:25,640
Speaker 2: I'm just a softie.

895
00:44:26,280 --> 00:44:28,400
Speaker 6: I think I think you're absolutely right. You are a

896
00:44:28,440 --> 00:44:29,120
Speaker 6: softy jake.

897
00:44:29,520 --> 00:44:32,440
Speaker 10: By the way, mister softy, Now I need to get

898
00:44:32,480 --> 00:44:33,200
Speaker 10: some ice cream.

899
00:44:34,040 --> 00:44:35,600
Speaker 6: So a couple of a couple of things.

900
00:44:35,880 --> 00:44:39,080
Speaker 10: First of all, reality and humor always work, right, I mean,

901
00:44:39,360 --> 00:44:42,759
Speaker 10: in other words, this hits two subsets right in their

902
00:44:42,760 --> 00:44:43,720
Speaker 10: advertising campaign.

903
00:44:43,719 --> 00:44:45,520
Speaker 6: It hits the parents, older.

904
00:44:45,239 --> 00:44:47,880
Speaker 10: Folks who go, oh yeah, that's me and they.

905
00:44:47,840 --> 00:44:48,480
Speaker 6: Kind of chuckle.

906
00:44:48,640 --> 00:44:51,520
Speaker 10: And then they hit the younger folks that go, oh yeah,

907
00:44:51,560 --> 00:44:53,879
Speaker 10: that's totally my dad, that's totally my mom.

908
00:44:54,120 --> 00:44:57,560
Speaker 6: So it hits both insurance groups, if you will.

909
00:44:57,840 --> 00:45:00,759
Speaker 10: That's the reality, and of course it's humor as well.

910
00:45:01,080 --> 00:45:05,200
Speaker 10: And look, I mean family friendly, right, I mean the

911
00:45:05,280 --> 00:45:08,279
Speaker 10: coke thing with where was it I like to teach

912
00:45:08,320 --> 00:45:09,080
Speaker 10: the world to sing?

913
00:45:09,160 --> 00:45:09,279
Speaker 2: Right?

914
00:45:09,360 --> 00:45:11,239
Speaker 10: That was that whole big thing in the seventies, right,

915
00:45:11,280 --> 00:45:13,080
Speaker 10: you know, bringing family in that case, it was like,

916
00:45:13,120 --> 00:45:14,280
Speaker 10: I think the world together.

917
00:45:14,880 --> 00:45:16,520
Speaker 6: But what about State Farm?

918
00:45:16,640 --> 00:45:19,280
Speaker 10: Like a good neighbor, everybody knows the next part State

919
00:45:19,320 --> 00:45:19,960
Speaker 10: Farm is there?

920
00:45:20,520 --> 00:45:22,200
Speaker 6: So right? I mean, you just know this.

921
00:45:22,239 --> 00:45:24,840
Speaker 10: Type of stuff because it is family friendly.

922
00:45:24,880 --> 00:45:26,360
Speaker 6: Even the Wendy's Where's the Beef?

923
00:45:26,440 --> 00:45:26,600
Speaker 2: Right?

924
00:45:26,640 --> 00:45:29,320
Speaker 6: That was funny, ha ha, But Where's the Beef?

925
00:45:29,400 --> 00:45:29,480
Speaker 9: Was?

926
00:45:29,480 --> 00:45:33,600
Speaker 10: What your your grandmother who's like kinda no, she wasn't

927
00:45:33,640 --> 00:45:36,360
Speaker 10: senile there in Weny's in the Wendy's commercial, but she

928
00:45:36,480 --> 00:45:39,680
Speaker 10: was like, okay, grandma, stop, you know, just you know, serve,

929
00:45:39,800 --> 00:45:40,880
Speaker 10: serve the mashed potatoes.

930
00:45:41,239 --> 00:45:44,319
Speaker 2: But her name was Clara Pell. David, the woman that

931
00:45:44,320 --> 00:45:45,120
Speaker 2: where is the Beef? Woman?

932
00:45:45,120 --> 00:45:46,880
Speaker 1: Her name was Clara Pell, And I remember that story

933
00:45:46,920 --> 00:45:49,160
Speaker 1: really well because she became a hit. She was a

934
00:45:49,239 --> 00:45:52,680
Speaker 1: national sensation in nineteen eighty three, that's when that ad

935
00:45:52,760 --> 00:45:55,360
Speaker 1: first ran, and I remember they interviewed her and she said,

936
00:45:55,640 --> 00:45:57,440
Speaker 1: you know, a lot of my friends are jealous in

937
00:45:57,520 --> 00:45:59,680
Speaker 1: the a nursing home or the old age home. And

938
00:45:59,719 --> 00:46:02,279
Speaker 1: I said, well, there was an open audition. You all

939
00:46:02,280 --> 00:46:04,719
Speaker 1: could have gone, and so don't be angry at me.

940
00:46:04,960 --> 00:46:07,720
Speaker 1: I went, you know, good for her, and I remember

941
00:46:07,719 --> 00:46:09,280
Speaker 1: my mom looking at me like, you see, you gotta

942
00:46:09,280 --> 00:46:12,120
Speaker 1: be outgoing, so you know, you learn things from your elders,

943
00:46:12,480 --> 00:46:13,880
Speaker 1: are even their funny behaviors.

944
00:46:14,560 --> 00:46:16,279
Speaker 10: I should also point out, and it's trying to do

945
00:46:16,320 --> 00:46:18,360
Speaker 10: some research as point on those Doctor Rick commercials for

946
00:46:18,480 --> 00:46:22,040
Speaker 10: Progressive And though the information is proprietary as you might

947
00:46:22,040 --> 00:46:24,040
Speaker 10: imagine in terms of ad sales, what they do say

948
00:46:24,360 --> 00:46:27,080
Speaker 10: and you can see specifically is that there's an extremely

949
00:46:27,160 --> 00:46:31,200
Speaker 10: high engagement online, which is obviously a telltale sign that

950
00:46:31,320 --> 00:46:32,200
Speaker 10: things are going well.

951
00:46:32,239 --> 00:46:33,560
Speaker 6: And by the way, it's been around.

952
00:46:33,360 --> 00:46:35,440
Speaker 10: For a few years obviously, and they keep doing new

953
00:46:35,440 --> 00:46:37,360
Speaker 10: commercials and that says everything you need to know.

954
00:46:38,320 --> 00:46:40,440
Speaker 1: That's my happiest moment when they have the new commercial ad,

955
00:46:40,520 --> 00:46:43,399
Speaker 1: especially especially during the NFL games. All right, David Brody,

956
00:46:43,440 --> 00:46:45,040
Speaker 1: you're going to be joining us for all that news

957
00:46:45,040 --> 00:46:46,800
Speaker 1: that some of it I couldn't get to in the

958
00:46:46,840 --> 00:46:49,520
Speaker 1: next couple of hours on American Sunrise. American Sunrise Early

959
00:46:49,640 --> 00:46:51,920
Speaker 1: Edition will be back for you on Monday.

960
00:46:52,280 --> 00:46:53,480
Speaker 2: Please have a good weekend.

961
00:46:53,719 --> 00:46:54,359
Speaker 6: I'll see you then.