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Speaker 1: And oh, well back down.

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Speaker 2: May Hey, everybody, thanks so much for joining us right

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Speaker 2: here on the right view tonight, we're joined by New

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Speaker 2: York Times best selling investigative journalist and president of the

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Speaker 2: Government Accountability Institute, whose new book, The Invisible Coup, How

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Speaker 2: American elites and foreign powers use immigration as a weapon,

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Speaker 2: debuted at number one, Peter Schweitzer. Peter, thanks so much

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Speaker 2: for joining us. I'm I'm such a fan of all

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Speaker 2: of your work and all that you've done.

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Speaker 1: This new book.

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Speaker 2: I find really interesting. What inspired this new book, and

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Speaker 2: I assume it probably builds on previous investigations that you've

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Speaker 2: done into political corruption and foreign influence and the like.

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Speaker 3: Yeah. No, it's a good question, you know. I was.

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Speaker 3: I've been interested in the issue about immigration for a while,

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Speaker 3: and we've been having this national debate in our country,

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Speaker 3: a good, necessary, healthy debate about how it affects wages,

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Speaker 3: crime on our streets, and that's very important, and that

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Speaker 3: really is what led I think to the ceiling of

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Speaker 3: the border, and rightfully so. But it seemed to me

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Speaker 3: that there are larger issues at play, meaning that it's

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Speaker 3: not just immigration as we had in the past, where

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Speaker 3: you know, the Irish came one hundred and twenty years ago.

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Speaker 3: What we're seeing is the weaponization of immigration. We're seeing

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Speaker 3: these foreign powers and actors using migration as a weapon

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Speaker 3: to undermine us politically, basically acts of subversion, that's the

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Speaker 3: way they describe it. So I thought we needed to

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Speaker 3: better understand fully what is going on here. And the

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Speaker 3: corruption part, yes, is real. I mean, there are financial

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Speaker 3: incentives and motives for people to be fueling this, but

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Speaker 3: they're also political ones as well. And it's not Laura

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Speaker 3: as if they sit down and they all conspire together,

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Speaker 3: it's a confluence of interest. They all get something out

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Speaker 3: of it. That's why they're all pursuing it well.

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Speaker 2: And of course then here we are is the United

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Speaker 2: States sort of like the punching bag for all of

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Speaker 2: this and the people who are suffering from all of this.

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Speaker 2: You described in the book immigration as the most powerful

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Speaker 2: political weapon ever aimed at the United States. You sort

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Speaker 2: of just alluded to that, but maybe you can break

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Speaker 2: that down a little bit deeper politically speaking.

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Speaker 1: What are we talking about here?

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Speaker 3: Yeah, So the federal government did a study in the

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Speaker 3: early two thousands where they looked at what were the

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Speaker 3: most successful attacks on the United States, and they came

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Speaker 3: to the conclusion that the top three were nine to eleven.

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Speaker 3: Of course, a lot of us remember that the attack

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Speaker 3: on Pearl Harbor and the third one was the Marriale

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Speaker 3: boat lift. This is when one hundred and twenty five

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Speaker 3: thousand Cubans came to the United States from Cuba in

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Speaker 3: nineteen eighty. It turned out that Fidel Castro had seeded

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Speaker 3: those refugees with psychopaths, criminals, criminal gangs, intelligence officers, he

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Speaker 3: immigration and they said that was the third most successful

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Speaker 3: attack on the United States from a foreign adversary. But

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Speaker 3: they went on to point out, Laura that you know

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Speaker 3: what happened here after nine to eleven, we went in

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Speaker 3: and destroyed al Qaeda. What happened after Pearl Harbor? We

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Speaker 3: went and we destroyed the Japanese Empire. What happened after

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Speaker 3: the Mariel boat lift? Nothing? What do you do? Who

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Speaker 3: do you attack?

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Speaker 1: What?

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Speaker 3: What military infrastructure can you do? Can you destroy if

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Speaker 3: you are faced with an immigration weapon and the weapon

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Speaker 3: and the basic truth is you can't. So it's a

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Speaker 3: very powerful tool because it's very hard for a country

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Speaker 3: like hours to respond. That's what makes it so powerful.

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Speaker 3: So you know, how does it manifest itself. It includes

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Speaker 3: China exploiting birthright citizenship on an industrial scale. Uh, you know,

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Speaker 3: we can talk about that more, but they have a

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Speaker 3: systematic plan that is designed to exploit birthright citizenship that

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Speaker 3: creates a massive vulnerability for us going forward. In the

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Speaker 3: case of Mexico, it's them actually encouraging mass migration to

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Speaker 3: the United States and seeing migrants as a political tool

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Speaker 3: or a weapon that they can use against us, and

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Speaker 3: developing an infrastructure in our country to do so to

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Speaker 3: the extent now that the Mexican government is trying to

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Speaker 3: sway political elections, they're involved in organizing these anti ice

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Speaker 3: protests on the street. So it manifests itself in all

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Speaker 3: kinds of different ways. But the root of it is

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Speaker 3: the notion that mass migration can be used and deployed

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Speaker 3: against us, and they're doing it very effectively.

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Speaker 2: Yeah, and it seems like there are so many in

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Speaker 2: our country who've sort of just been happy to let

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Speaker 2: it happen. And I think a lot of Americans wonder

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Speaker 2: about that, save for Donald Trump.

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Speaker 1: I mean, who knows.

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Speaker 2: Where we would be right now, Peter. It's kind of

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Speaker 2: a terrifying thought. You argue in the book that our

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Speaker 2: debates on immigration focus too much on what happens after

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Speaker 2: these immigrants arrive, rather than who sends them. And why

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Speaker 2: now you just explain China, You just explained to Mexico.

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Speaker 2: But this is something that the president has talked about

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Speaker 2: for a long time. I mean your example there with

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Speaker 2: Cuba in the eighties. I think that's very significant. President

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Speaker 2: Trump has received a lot of backlash for saying, look,

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Speaker 2: they're not sending their best people. Remember that's in twenty

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Speaker 2: fifteen when he announced his first run for president.

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Speaker 1: He got attacked for saying that.

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Speaker 2: He's consistently said, look, they're emptying out their jails. They're

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Speaker 2: sending bad people here to the United States. It sounds

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Speaker 2: like from what your research showed, Donald Trump has been

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Speaker 2: correct on immigration for a long time, despite the fact

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Speaker 2: that he's gotten a lot of pushback on it.

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Speaker 3: Yeah, no, one percent, and I think the facts are

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Speaker 3: very clear. I actually had a chance to spend about

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Speaker 3: fifty five minutes with him in the Oval Office before

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Speaker 3: the book came out, describing some of the details of

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Speaker 3: the book, and he had the Treasury Secretary A. Scott

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Speaker 3: Bessant and Marco Ruby of the Secretary of State there

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Speaker 3: and walked it through, and it was confirmation for what

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Speaker 3: he believed and what he had been arguing. But I

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Speaker 3: think we also revealed to the Trump administration methodologies that

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Speaker 3: our advisaris are using that they found surprising only because

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Speaker 3: it's so creative and so ingenious. So birthright citizenship. Again,

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Speaker 3: President Trump is shown great leadership here with his executive order.

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Speaker 3: The Supreme Court is going to be dealing with this issue.

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Speaker 3: What we expose in the book is the fact that

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Speaker 3: China has a program to exploit this on a massive scale,

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Speaker 3: this birth tourism industry, where Chinese elites will fly to

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Speaker 3: the United States give birth to a child. The child

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Speaker 3: is born here so it's granted US citizenship. They then

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Speaker 3: fly back to China where the child will be raised

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Speaker 3: in the CCP. But that child is a US citizen

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Speaker 3: and when they're eighteen, they're going to be able to vote.

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Speaker 3: And what we were able to show is that our

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Speaker 3: federal government doesn't know how often this happens because we

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Speaker 3: don't track the nationality of birth parents. A birth certificate

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Speaker 3: doesn't say where their parents are from, so we have

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Speaker 3: no clue how much how often this has been done.

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Speaker 3: The Chinese government says that they've been doing this for

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Speaker 3: thirteen years, and each and every year, roughly one hundred

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Speaker 3: thousand Chinese babies have been born in the United States

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Speaker 3: that are now being raised in China. That means more

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Speaker 3: than a million quote unquote US citizens. I'm going to

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Speaker 3: put that in air quotes are being raised in China, Laura.

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Speaker 3: They're going to be able to vote in our elections,

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Speaker 3: They're going to be able to donate to political campaigns,

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Speaker 3: and so I think that's a revelation that shows the

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Speaker 3: industrial size scale of how immigration is being weaponized and

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Speaker 3: used against us.

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Speaker 2: What about people here in the United States who are

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Speaker 2: collaborating to some extent to allow these things to happen.

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Speaker 2: I mean, it kind of feels like to a lot

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Speaker 2: of us that our own government let us down on

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Speaker 2: this whole front, right, Because again, I'll go back to

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Speaker 2: President Trump, who got a lot of flak for talking

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Speaker 2: about the fact the birthright citizenship was ridiculous. That you know,

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Speaker 2: whether it's Chinese who are sending people over here, whether

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Speaker 2: it's people coming up through the southern border here, you know,

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Speaker 2: from Mexico or wherever. You know, people come to America

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Speaker 2: to have these babies. They come from Russia, they come

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Speaker 2: from all over the world to have the baby, so

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Speaker 2: that they can obviously have the citizenship.

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Speaker 1: But on top of that, it seems like.

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Speaker 2: There have to be people here within the United States

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Speaker 2: who have advocated for this or at least assisted to

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Speaker 2: some extent to get us here. We know the Democrats

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Speaker 2: in large part really love illegal immigration. I mean, I

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Speaker 2: think from my standpoint at the RNC as the former

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Speaker 2: co chair, we know there was a reason, Peter they

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Speaker 2: didn't want Most Democrats do not want voter ID. They

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Speaker 2: want anyone to be able to walk up and vote.

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Speaker 2: You go to Minnesota, you can vouch for eight people,

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Speaker 2: doesn't matter who they are. You can just say these

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Speaker 2: people are good, they can vote. Crazy stuff like that.

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Speaker 2: So how is it that people here within the United

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Speaker 2: States have maybe assisted or collaborated to allow this to happen.

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Speaker 3: Yeah, no, that's a great question on the birthright citizenship stance.

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Speaker 3: The Obama administration really flung the gates wide open. The

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Speaker 3: instructions I talk about this in the book. The instructions

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Speaker 3: from the Obama administration to people at customs and Border

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Speaker 3: patrol was if somebody comes and they are pregnant, Do

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Speaker 3: not ask them whether they're having the child in the

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Speaker 3: United States. Just let them through. So what happens, Laura,

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Speaker 3: is that they show up and on your visa card

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Speaker 3: you're supposed to describe the purpose of your visit. If

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Speaker 3: you're going to have a medical procedure, they're going to

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Speaker 3: pull you aside and find out what's going on. What

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Speaker 3: Obama said is, do not ask that. So you had

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Speaker 3: pregnant women showing up and saying, I'm a tourist. I'm

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Speaker 3: here as on a tourist visa. The second thing that

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Speaker 3: he did was he created a ten year long visa

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Speaker 3: with China, which meant if you came one time you

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Speaker 3: got the visa, you flew through customs and border patrol

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Speaker 3: every other time you came. And the problem was that

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Speaker 3: you had members of the elite. We found one Chinese

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Speaker 3: military officer who has three children that were born through

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Speaker 3: birthright citizenship. His wife was never even stopped at customs

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Speaker 3: and Border patrol and just sort of waved through. So

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Speaker 3: they allowed this to happen. They encouraged it to happen.

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Speaker 3: And there's a whole section in the book on why

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Speaker 3: democrats need mass migration. It is key for them in

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Speaker 3: terms of their voter base, and the numbers are clear.

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Speaker 3: We got access to internal emails in the White House, Clinton, Biden,

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Speaker 3: and Obama. They're explicit about it. One of them even said,

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Speaker 3: we need to be careful because people are going to

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Speaker 3: think we're running voter mills, which is an effect what

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Speaker 3: they were doing. So they needed for that reason. Is

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Speaker 3: they also need it because of the way that we

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Speaker 3: count the census, right, we don't count citizens, we count

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Speaker 3: the general public. In the case of California, the estimate

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Speaker 3: is that they have at least four more congressional districts

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Speaker 3: than they ordinarily would because of illegal those four seats.

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Speaker 3: By the way, that's a larger congressional delegation for illegals

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Speaker 3: in California than thirteen other states in the United States.

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Speaker 3: So it's a massive, massive political win. That's why they're

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Speaker 3: fighting so hard to prevent these deportations.

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Speaker 1: Unbelievable.

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Speaker 2: Why did you feel like right now was the time

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Speaker 2: to write this book. I mean, obviously this sort of

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Speaker 2: thing has been happening for so long, but it feels

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Speaker 2: like people need to get involved, people need to understand

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Speaker 2: what's going on, and I encourage everybody go out there

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Speaker 2: and get this book, read it, educate yourself so that

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Speaker 2: you can have conversations with the true information whenever you

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Speaker 2: talk to people. Right, But Peter, what was the impetus

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Speaker 2: for right now to write this book?

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Speaker 3: Well, it's a great question.

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Speaker 2: You know.

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Speaker 3: The way I do books is I do them on

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Speaker 3: an every year, two year cycle, and I spend a

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Speaker 3: year and a half of that two years just doing research.

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Speaker 3: So this book was actually conceived in the early spring

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Speaker 3: of twenty twenty four. Presidential election was coming up. The

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Speaker 3: border was wide open. Yeah, so I thought it was

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Speaker 3: important to go and look at precisely the forces at work. Again,

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Speaker 3: we've been having this conversation about crime, about wages, all

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Speaker 3: the ways that it affects working people. I wanted to see,

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Speaker 3: is there something even deeper going on at its core?

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Speaker 3: And that's what I think I uncovered. So I wish

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Speaker 3: I could say that I arranged the timing and this

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Speaker 3: was perfect timing, because it does seem like it's fit

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Speaker 3: the news cycle, but it is. It's providential. That's really

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Speaker 3: the reason I didn't plan it to come out at

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Speaker 3: this time.

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Speaker 2: Well, it's pretty predictable whenever you have the border wide open,

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Speaker 2: whenever you see the way it's impacted, you know, as

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Speaker 2: you highlighted our country in such a negative way, whenever

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Speaker 2: it was such a big factor in the twenty twenty

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Speaker 2: four election, and then to see the pushback now that

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Speaker 2: you know immigration control and enforcement is getting from the left,

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Speaker 2: from the legacy media. You know, it's crazy, I think,

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Speaker 2: to a lot of people. And obviously there's this element

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Speaker 2: of emotion that gets injected into things whenever we're talking

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Speaker 2: about what we're watching on our TV and reading in

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Speaker 2: the newspapers right now. But people really are ill informed

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Speaker 2: on this entire subject. So I appreciate that you went

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Speaker 2: out of your way to write this book to educate people,

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Speaker 2: to inform us as to what it is that you're

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Speaker 2: never going to hear out there from the legacy media.

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Speaker 2: Last question for you, Peter, based on what you learned

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Speaker 2: after investigating and researching all of this, what immediate steps

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Speaker 2: do you think the Trump administration should be taking, maybe

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Speaker 2: in addition to what they're already doing to counter what

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Speaker 2: is really like an invisible coup.

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Speaker 3: Well, I think the first thing is they need to

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Speaker 3: continue to press this Supreme Court case. And I have

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Speaker 3: reason to believe that the information I presented about China's

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Speaker 3: exploitation on an industrial scale is going to be a

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Speaker 3: work its way into the Supreme Court arguments. I think

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Speaker 3: that's key what the administration can do. There are a

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Speaker 3: couple of very quick steps. One of the things I

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Speaker 3: highlight in the book is that we are in the

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Speaker 3: United States right now, not the government. Private flight schools

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Speaker 3: are training thousands of Chinese pilots every year, and the

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Speaker 3: best of those pilots are going to be flying for

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Speaker 3: the Chinese Air Force against US. We all remember nine

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Speaker 3: to eleven, right, the guys that didn't want to learn

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Speaker 3: how to land, they only wanted to learn how to fly. Well,

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Speaker 3: we banned people from terror sponsoring states from going to

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Speaker 3: private flight schools in the United States, we still allow

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Speaker 3: people from China. So there are thousands of pilots being

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Speaker 3: trained here. The Chinese government's paying for it. When they're

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Speaker 3: done with flight training, they go back to China. The

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Speaker 3: best pilots will get advanced military training. We should not

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Speaker 3: be subsidizing the Chinese military, and I think it would

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Speaker 3: be great if the Trump administration took direct action on

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Speaker 3: that front.

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Speaker 2: Yeah, well, we know that the Chinese have stolen our

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Speaker 2: fighter jet plans straight out from under us, so they're

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Speaker 2: prepared on that front for sure. Peter, again, thank you

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Speaker 2: so much for giving us this information, for going out

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Speaker 2: of your way to research to write this book. Everybody,

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Speaker 2: go out there, grab it up. Tell people where they

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Speaker 2: can find it. I assume anywhere books are sold.

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Speaker 3: Yeah, you should find it Amazon and any bookstores. It's

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Speaker 3: widely available, Okay.

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Speaker 1: The invisible coup.

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Speaker 2: Peter Schwicher, thank you so much for spending a little

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Speaker 2: bit of time with us. We appreciate it, and we

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Speaker 2: hope you'll come back soon.

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Speaker 3: Absolutely, thanks for having me. I enjoyed it.

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Speaker 1: Welcome to the show. Thank you so much for joining us.

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Speaker 2: You've had an amazing and successful career in America. Tell

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Speaker 2: me about your early experience as an immigrant and how

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Speaker 2: it shaped your drive and determination in pursuing education and

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Speaker 2: a career in tech.

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Speaker 4: Great. Thank you so much for having me. It's a

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Speaker 4: pleasure to be here. Yeah. I was sent to the

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Speaker 4: United States as a legal immigrant to join my older

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Speaker 4: brother and sister who are already in the US. You know,

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Speaker 4: I understood early the value of education. Obviously. I worked hard,

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Speaker 4: skipped a couple of grades after college. I joined Oracle

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Speaker 4: pretty much at the bottom of the organization and worked really,

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Speaker 4: really hard. The company was growing really fast, so in

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Speaker 4: my first five years, for example, we went from twenty

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Speaker 4: six million to a billion dollars in revenues, which is

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Speaker 4: just unbelievable. Yeah, it was.

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Speaker 2: It was.

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Speaker 4: It was a meritocracy, so if you worked hard, you've

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Speaker 4: got a lot of opportunities, and every few months, I

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Speaker 4: was getting a new department pretty much, and you know,

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Speaker 4: working eighteen hour days, seven days a week. I got

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Speaker 4: married during that time at a three day honeymoon. So

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Speaker 4: I ended up running all of finance and administration for

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Speaker 4: Oracle US at age twenty seven, which was amazing. And yeah,

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Speaker 4: Larry Ellison's just an unbelievable leader, and you know, ten

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Speaker 4: years working closely with him is an uncommon education.

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Speaker 1: Yeah, so where did you grow up? Machine?

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Speaker 2: I grew up in Iran, And tell me about you know,

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Speaker 2: coming here, as you said to your brother, was here.

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Speaker 1: You came here legally.

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Speaker 2: But I imagine growing up in another country looking at

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Speaker 2: the United States, you looked at it as a place

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Speaker 2: where you know, you only are limited by what you

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Speaker 2: can imagine and how hard you're willing to work and

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Speaker 2: to talk about, you know, a meritocracy, to work somewhere

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Speaker 2: where if you put in the time, the effort and

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Speaker 2: you have that tenacity, you do get promoted. How did

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Speaker 2: that impact your work ethic once you came here. I

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Speaker 2: imagine that people who immigrate to America look at us

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Speaker 2: very much in that way. And I actually wish more Americans,

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Speaker 2: people who are born here in the United States appreciated

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Speaker 2: that absolutely.

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Speaker 4: I mean, we look at the United States as the

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Speaker 4: as the ultimate land of opportunity, and that's what my

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Speaker 4: parents saw. That's why they sent me, and that's been

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Speaker 4: my experience. I always say, only in America could this happen.

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Speaker 4: Only in America can someone come in as a legal

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Speaker 4: immigrant and really have all this opportunity that is. I mean,

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Speaker 4: I was extremely lucky to have found Oracle. I sent

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Speaker 4: my resume to sixty companies and yeah, an Oracle called,

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Speaker 4: and like I said, I started. So I think if

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Speaker 4: you you know, it's always said if you work hard,

403
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Speaker 4: you get lucky. That's absolutely the case. And I couldn't

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Speaker 4: have joined a better team at a better moment. And

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Speaker 4: I think that happened because I was working so hard.

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Speaker 3: Yeah.

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Speaker 2: I think it's so important to continue to instill work

408
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Speaker 2: ethic in our future generations. And it makes me very

409
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Speaker 2: nervous to think about the fact that there's so many

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Speaker 2: kids who are kind of a younger generation here in

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Speaker 2: America who are just kind of like, well, I'm entitled

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Speaker 2: to this stuff and somebody will figure it out for me.

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Speaker 2: I look at Actually, the President of the United States

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Speaker 2: is a great example as.

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Speaker 1: To what hard work will get you.

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Speaker 2: You know, there's a very famous commencement speech that the

417
00:22:05,920 --> 00:22:08,919
Speaker 2: President gave. This is probably twenty years ago now, and

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00:22:08,960 --> 00:22:12,080
Speaker 2: he talked about never giving up. He talked about working hard,

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Speaker 2: and he said, you know, I've seen some of the

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Speaker 2: most successful people in the world, just before they achieve

421
00:22:17,560 --> 00:22:20,399
Speaker 2: whatever their goal, they gave up, they stopped working for it.

422
00:22:20,480 --> 00:22:23,199
Speaker 2: You can never stop working. You can never you know,

423
00:22:23,280 --> 00:22:25,439
Speaker 2: give up on whatever it is you're trying to achieve.

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00:22:25,800 --> 00:22:29,840
Speaker 2: I mean that is a message that nushin I hope

425
00:22:29,880 --> 00:22:32,880
Speaker 2: that we are continuing to put out there for our

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Speaker 2: future generations. And a story like yours, I think is

427
00:22:36,520 --> 00:22:39,760
Speaker 2: so so important to continue to share with people as well,

428
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Speaker 2: because I don't know, what do you think about our

429
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Speaker 2: kind of young generations coming up? Do you have that

430
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Speaker 2: same concern?

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00:22:46,640 --> 00:22:51,200
Speaker 4: Yeah, I think there is, I mean success, it's hard

432
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Speaker 4: to drive when we are so successful, when our economy

433
00:22:54,320 --> 00:22:57,080
Speaker 4: is doing so well, when we are innovating, you know,

434
00:22:57,320 --> 00:23:01,160
Speaker 4: AI is our innovation, This is mhm. You know, when

435
00:23:01,160 --> 00:23:04,919
Speaker 4: we're contributing so much to the world, it is it

436
00:23:05,000 --> 00:23:07,520
Speaker 4: is you know, easy to rest on your laurels, but

437
00:23:08,200 --> 00:23:10,800
Speaker 4: you know a lot of people have worked so hard

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00:23:10,840 --> 00:23:13,120
Speaker 4: for us to get here, and it's our turn, it's

439
00:23:13,119 --> 00:23:15,720
Speaker 4: this generation's turn to work hard to pass it on

440
00:23:16,119 --> 00:23:18,720
Speaker 4: to the next generation. I know the kids these days

441
00:23:18,760 --> 00:23:22,760
Speaker 4: have some anxiety around AI had that would affect their job,

442
00:23:23,000 --> 00:23:25,199
Speaker 4: or will the American dream be there when you know

443
00:23:25,280 --> 00:23:29,400
Speaker 4: when it's their turn. But but the formula for this country,

444
00:23:29,280 --> 00:23:34,639
Speaker 4: the great American experiment, has kept paying off, and that

445
00:23:34,640 --> 00:23:39,880
Speaker 4: that great culture that we have, the culture of hard work,

446
00:23:39,960 --> 00:23:44,480
Speaker 4: the culture of innovation is very much present and alive

447
00:23:44,520 --> 00:23:48,720
Speaker 4: in America today, especially under this president. And I can't

448
00:23:48,760 --> 00:23:51,520
Speaker 4: be more optimistic than I am today. I mean, the

449
00:23:51,560 --> 00:23:53,560
Speaker 4: best and the brightest are going to government. We are

450
00:23:53,560 --> 00:23:56,800
Speaker 4: coming bringing back a lot of our industries that we're

451
00:23:57,080 --> 00:24:02,040
Speaker 4: that we're dying frankly, and and we are taking AI

452
00:24:02,320 --> 00:24:06,439
Speaker 4: very seriously as a factor that can you know, that

453
00:24:06,560 --> 00:24:11,280
Speaker 4: is a very core part of our competition, our geopolitical rivalry.

454
00:24:11,760 --> 00:24:15,520
Speaker 4: And I think so we're prioritizing the right things, and

455
00:24:15,800 --> 00:24:20,440
Speaker 4: we are working very hard, and we are investing. We're

456
00:24:20,440 --> 00:24:23,720
Speaker 4: making big, bold moves, we are investing in a lot

457
00:24:23,720 --> 00:24:27,639
Speaker 4: of industries. So I think we're very sober about this moment,

458
00:24:27,720 --> 00:24:31,800
Speaker 4: and I'm very excited about this moment, absolutely, and kids

459
00:24:31,800 --> 00:24:32,560
Speaker 4: should be as well.

460
00:24:33,000 --> 00:24:35,520
Speaker 2: They should be And I'm glad you brought up AI.

461
00:24:35,600 --> 00:24:38,080
Speaker 2: And it gives a lot of people a lot of anxiety,

462
00:24:38,400 --> 00:24:40,520
Speaker 2: you know, you talk about people worried that their job

463
00:24:40,600 --> 00:24:43,119
Speaker 2: is going to be overtaken by AI. I think people

464
00:24:43,160 --> 00:24:46,080
Speaker 2: are very unsure about the future as it relates to AI.

465
00:24:46,200 --> 00:24:49,920
Speaker 2: But we are in this race with of all countries,

466
00:24:49,960 --> 00:24:53,520
Speaker 2: probably China, and we have to win here. And I

467
00:24:53,600 --> 00:24:56,680
Speaker 2: want to talk about your company, January AI, because you

468
00:24:56,800 --> 00:25:00,640
Speaker 2: use AI and what I think is the most wonderful

469
00:25:00,680 --> 00:25:02,120
Speaker 2: way possible, in the way that I.

470
00:25:02,040 --> 00:25:04,200
Speaker 1: Think is really going to change our world for the better.

471
00:25:04,480 --> 00:25:08,840
Speaker 2: You use it to predict, prevent, and manage chronic diseases

472
00:25:09,080 --> 00:25:12,439
Speaker 2: like diabetes. So give us kind of an overview of that.

473
00:25:12,560 --> 00:25:15,960
Speaker 2: How does the technology work in very simple terms? Absolutely,

474
00:25:15,960 --> 00:25:18,280
Speaker 2: so those of us who are a little nervous about

475
00:25:18,280 --> 00:25:19,439
Speaker 2: AI can feel good about it.

476
00:25:20,359 --> 00:25:22,960
Speaker 4: Sure well, First of all, I think it's normal to

477
00:25:23,200 --> 00:25:26,080
Speaker 4: have fear. I understand it fear. You know, every major

478
00:25:26,440 --> 00:25:31,360
Speaker 4: technological change feels destabilizing at first, like electricity, like the internet.

479
00:25:31,800 --> 00:25:34,159
Speaker 4: But AI is our invention. We came up with it.

480
00:25:34,200 --> 00:25:39,040
Speaker 4: The foundational breakthroughs of modern AI came out of our research,

481
00:25:39,160 --> 00:25:43,200
Speaker 4: our papers, our universities and companies. So we have open markets,

482
00:25:43,240 --> 00:25:45,679
Speaker 4: we have rule of law. You know, we debate. So

483
00:25:45,960 --> 00:25:49,320
Speaker 4: I feel like what comes out of us is going

484
00:25:49,359 --> 00:25:53,040
Speaker 4: to be something to be greatly proud of. I am

485
00:25:53,080 --> 00:25:55,720
Speaker 4: afraid of what comes out of the other societies that

486
00:25:55,760 --> 00:25:59,040
Speaker 4: are not so open. They don't value liberty the way

487
00:25:59,080 --> 00:26:02,360
Speaker 4: that we do. So it is critically important that our

488
00:26:02,400 --> 00:26:07,280
Speaker 4: AI wins or that our AI gets deployed globally. And

489
00:26:07,359 --> 00:26:10,159
Speaker 4: so that's the competition that we have here. It's important

490
00:26:10,200 --> 00:26:13,159
Speaker 4: that we win the AI war or that we absolutely

491
00:26:13,440 --> 00:26:17,320
Speaker 4: hold our own So in terms about my company, yes,

492
00:26:17,400 --> 00:26:21,320
Speaker 4: so the issue that you mentioned chronic diseases. We spend

493
00:26:21,320 --> 00:26:25,720
Speaker 4: five point three billion dollars in this year on healthcare

494
00:26:26,080 --> 00:26:29,439
Speaker 4: and a good amount of that most of that money

495
00:26:30,200 --> 00:26:35,280
Speaker 4: goes to avoidable chronic conditions and like diabetes. So the

496
00:26:35,359 --> 00:26:40,520
Speaker 4: question we asked was, how can we use simple sensors

497
00:26:40,840 --> 00:26:42,840
Speaker 4: and simple tools that we have to get people to

498
00:26:42,920 --> 00:26:44,960
Speaker 4: understand the impact of the food they're going to eat

499
00:26:45,320 --> 00:26:48,240
Speaker 4: before they eat it. And so we started as an

500
00:26:48,240 --> 00:26:51,919
Speaker 4: air company in twenty eighteen twenty seventeen and started putting

501
00:26:52,400 --> 00:26:57,680
Speaker 4: continuous glucose monitors on healthy pre diabetes, diabetes, people with diabetes,

502
00:26:58,160 --> 00:27:03,359
Speaker 4: and we, over several years of doing AI research, developed

503
00:27:03,400 --> 00:27:06,840
Speaker 4: prediction models where we can essentially tell people before they

504
00:27:06,880 --> 00:27:10,440
Speaker 4: eat how food is going to affect them. We can

505
00:27:10,480 --> 00:27:12,479
Speaker 4: do this with a sensor. You can wear a sensor

506
00:27:13,440 --> 00:27:16,920
Speaker 4: train for a few days and remove it, or our

507
00:27:16,960 --> 00:27:20,120
Speaker 4: newer models which we've developed over many years. We have enough.

508
00:27:20,200 --> 00:27:22,600
Speaker 4: We have millions of data points from thousands of people,

509
00:27:23,720 --> 00:27:27,280
Speaker 4: and we can now give you that information without a sensor.

510
00:27:27,680 --> 00:27:30,320
Speaker 4: So we for this, so we've created the world's first

511
00:27:30,400 --> 00:27:35,959
Speaker 4: continuous glucose monitor that's virtual, so you don't actually have

512
00:27:36,000 --> 00:27:38,280
Speaker 4: to wear a sensor at all to get an idea

513
00:27:38,280 --> 00:27:40,199
Speaker 4: of how blood sugar is going to be impacted. You

514
00:27:40,240 --> 00:27:44,040
Speaker 4: can use our app, which has our most recent models

515
00:27:44,080 --> 00:27:46,680
Speaker 4: in it and get it. And so for this we've

516
00:27:46,720 --> 00:27:52,400
Speaker 4: been recognized by Moral Economic Forum, Wall Street Journal, Fast Company, Forbes, Inc.

517
00:27:52,560 --> 00:27:58,679
Speaker 4: Time you name it CES. But the idea is simple.

518
00:27:58,920 --> 00:28:01,320
Speaker 4: You can is the app, take a picture of a

519
00:28:01,359 --> 00:28:03,879
Speaker 4: food boop, you can see what's gonna happen to your

520
00:28:03,920 --> 00:28:06,600
Speaker 4: blood sugar. And we also have other We also have

521
00:28:06,640 --> 00:28:10,520
Speaker 4: other AI products that we are very proud of, Mirror Connects,

522
00:28:10,520 --> 00:28:12,320
Speaker 4: all your data points. But let me stay on point

523
00:28:12,320 --> 00:28:12,560
Speaker 4: with you.

524
00:28:13,480 --> 00:28:15,520
Speaker 2: Yeah, well, listen, I just think that this is this

525
00:28:15,600 --> 00:28:18,399
Speaker 2: is the good use of AI. I think that a

526
00:28:18,440 --> 00:28:22,879
Speaker 2: lot of people have a lot of very kind of uh,

527
00:28:23,119 --> 00:28:27,080
Speaker 2: nervous feelings when it comes to AI. But if used properly,

528
00:28:27,200 --> 00:28:30,160
Speaker 2: like you said, if used by a society, especially where

529
00:28:30,200 --> 00:28:34,080
Speaker 2: we value freedom and liberty, et cetera, and we model

530
00:28:34,119 --> 00:28:36,080
Speaker 2: it that way, then I think it can be a

531
00:28:36,119 --> 00:28:38,920
Speaker 2: great tool to make us all better. And I think

532
00:28:38,960 --> 00:28:41,640
Speaker 2: one of the spaces in which people are looking at

533
00:28:41,680 --> 00:28:45,320
Speaker 2: AI as maybe the future and hopefully the future, is

534
00:28:45,360 --> 00:28:48,680
Speaker 2: in healthcare and in you know, kind of rectifying some

535
00:28:49,560 --> 00:28:54,960
Speaker 2: previously uncurable and incurable issues. I know that I talked

536
00:28:54,960 --> 00:28:59,200
Speaker 2: with Elon Musk for my Fox show not too long ago,

537
00:28:59,280 --> 00:29:02,080
Speaker 2: and he talked about the fact that because of all

538
00:29:02,120 --> 00:29:06,920
Speaker 2: of this revolutionary technology, people who were born unable to

539
00:29:07,000 --> 00:29:09,920
Speaker 2: see are ultimately going to be able to see. People

540
00:29:09,920 --> 00:29:13,520
Speaker 2: who are have been paralyzed will probably one day have

541
00:29:13,640 --> 00:29:16,600
Speaker 2: the ability to walk in it is because of this technology,

542
00:29:16,600 --> 00:29:18,880
Speaker 2: which I think is so so impactful.

543
00:29:18,880 --> 00:29:19,360
Speaker 1: So I want to.

544
00:29:19,360 --> 00:29:22,000
Speaker 2: Commend you for all that you've been able to do

545
00:29:22,160 --> 00:29:25,120
Speaker 2: in this space and all that your company is doing.

546
00:29:25,800 --> 00:29:28,640
Speaker 2: You know, when you talk about the I brought up

547
00:29:28,800 --> 00:29:32,240
Speaker 2: China a moment ago, and you talk about this US

548
00:29:32,400 --> 00:29:36,720
Speaker 2: China rivalry, it certainly is on the AI front, but

549
00:29:37,080 --> 00:29:40,760
Speaker 2: you actually have described it as an economic cold war.

550
00:29:40,960 --> 00:29:43,920
Speaker 2: So maybe you can expand on what you meant by

551
00:29:43,960 --> 00:29:46,160
Speaker 2: that and why you think it's so important to focus

552
00:29:46,160 --> 00:29:46,480
Speaker 2: on this.

553
00:29:46,600 --> 00:29:50,000
Speaker 4: Well, it was actually your father in law who first

554
00:29:50,440 --> 00:29:54,800
Speaker 4: framed the competition with China in economic terms. Yeah, I

555
00:29:54,840 --> 00:29:57,400
Speaker 4: mean he described it not just as military but also

556
00:29:57,960 --> 00:30:00,840
Speaker 4: on economic you know, and economic contact, which is which

557
00:30:00,880 --> 00:30:05,280
Speaker 4: it really is. So yeah, I think every day we

558
00:30:05,400 --> 00:30:08,600
Speaker 4: are making deals out in the world, you know, China

559
00:30:08,640 --> 00:30:11,560
Speaker 4: and Africa and South America and in the Middle East,

560
00:30:12,280 --> 00:30:15,480
Speaker 4: et cetera. Every day our countries go out, our two

561
00:30:15,480 --> 00:30:18,360
Speaker 4: countries or our rivals go out and try to get deals.

562
00:30:18,840 --> 00:30:21,520
Speaker 4: And I think it's really really important that we measure

563
00:30:21,800 --> 00:30:25,120
Speaker 4: how we're doing. And so China measures relentlessly. You know,

564
00:30:25,200 --> 00:30:30,080
Speaker 4: they measure everything from their manufacturing capacity, their their semiconduct production.

565
00:30:30,200 --> 00:30:32,560
Speaker 4: They look at like how many deals they're closing, and

566
00:30:32,640 --> 00:30:34,240
Speaker 4: not just how many deals they are closing, but how

567
00:30:34,240 --> 00:30:38,880
Speaker 4: many projects they've actually delivered. We have under President Trump,

568
00:30:38,920 --> 00:30:43,600
Speaker 4: we have a tremendous opportunity. Where countries are promising investment

569
00:30:43,680 --> 00:30:46,960
Speaker 4: in the United States, we are, we are, They're giving

570
00:30:47,080 --> 00:30:51,760
Speaker 4: us opportunities in their countries. There's a lot of you know, collaborate,

571
00:30:52,080 --> 00:30:54,960
Speaker 4: a lot of collaboration that is that is happening both ways.

572
00:30:55,000 --> 00:30:58,800
Speaker 4: And I think it's really important to keep close measure

573
00:30:59,080 --> 00:31:01,240
Speaker 4: of this collaboration and to make sure we're winning, you know,

574
00:31:01,360 --> 00:31:05,360
Speaker 4: not just hoping we're winning, but we're actually winning deal

575
00:31:05,400 --> 00:31:07,680
Speaker 4: by deal. And so yeah. An off Ed I put

576
00:31:07,680 --> 00:31:11,160
Speaker 4: out recently in time talks about the importance of looking

577
00:31:11,200 --> 00:31:13,960
Speaker 4: at our AI footprint, you know, how much how well

578
00:31:14,000 --> 00:31:17,840
Speaker 4: our companies are doing versus Chinese companies globally, and to

579
00:31:17,880 --> 00:31:20,480
Speaker 4: try to do that with the way that you would

580
00:31:20,520 --> 00:31:24,120
Speaker 4: think of, you know, getting military intelligence. Let's just develop

581
00:31:24,640 --> 00:31:33,080
Speaker 4: a new dashboard, new KPIs for measuring economic intelligence, or rather,

582
00:31:33,200 --> 00:31:37,120
Speaker 4: let's collect economic intelligence. Let's have new dashboard and KPIs

583
00:31:37,160 --> 00:31:43,760
Speaker 4: for for for measuring economic wins and economic progress in

584
00:31:43,840 --> 00:31:45,760
Speaker 4: this rivalry that we have with China. I think it's

585
00:31:45,760 --> 00:31:47,880
Speaker 4: really important. You know, if you don't measure it, it

586
00:31:47,920 --> 00:31:50,480
Speaker 4: doesn't happen by itself. We need to know, and we

587
00:31:50,520 --> 00:31:55,880
Speaker 4: need to know as it's happening before it's happening, not retroactively.

588
00:31:56,160 --> 00:31:58,239
Speaker 4: We need to we need to know. You know, we

589
00:31:58,360 --> 00:32:01,680
Speaker 4: already measure tremendousnumber of things in this country. You know,

590
00:32:01,720 --> 00:32:05,240
Speaker 4: we are a very metric rich countries, so we are

591
00:32:05,280 --> 00:32:07,760
Speaker 4: measuring quite a few things against China, but they're generally

592
00:32:08,240 --> 00:32:11,680
Speaker 4: more threat driven as opposed to opportunity driven. I think

593
00:32:11,800 --> 00:32:15,360
Speaker 4: we want to be very real time with this, and

594
00:32:15,400 --> 00:32:20,240
Speaker 4: not just in terms of the current measures that we keep,

595
00:32:20,240 --> 00:32:24,880
Speaker 4: but new KPIs that really focus on economic rivalry.

596
00:32:25,680 --> 00:32:28,200
Speaker 2: Well, I just am personally grateful that we have a

597
00:32:28,240 --> 00:32:31,120
Speaker 2: president who's been able to recognize what a threat in

598
00:32:31,160 --> 00:32:34,680
Speaker 2: so many ways China has been to this country, how

599
00:32:34,680 --> 00:32:38,120
Speaker 2: truly honestly detrimental China has been to America, has been

600
00:32:38,160 --> 00:32:40,960
Speaker 2: able to call it out and has drawn attention to

601
00:32:41,040 --> 00:32:44,720
Speaker 2: a space where you're seen a lot of previous leaders

602
00:32:44,760 --> 00:32:48,600
Speaker 2: of America just sort of ignored totally. And so it's

603
00:32:48,640 --> 00:32:52,080
Speaker 2: important to call it out, to identify it, to address it,

604
00:32:52,320 --> 00:32:54,040
Speaker 2: and then to keep track of it, like you're saying,

605
00:32:54,080 --> 00:32:56,240
Speaker 2: because that's really the way that we're going to win

606
00:32:56,280 --> 00:32:56,680
Speaker 2: this thing.

607
00:32:57,080 --> 00:32:57,680
Speaker 1: Ultimately.

608
00:32:58,280 --> 00:33:01,440
Speaker 2: Before we let you go, you've said, when you build

609
00:33:01,520 --> 00:33:05,320
Speaker 2: something that does not yet exist. You are operating on faith.

610
00:33:05,400 --> 00:33:08,240
Speaker 2: You commit resources before outcomes are guaranteed.

611
00:33:08,640 --> 00:33:09,800
Speaker 1: You preserve.

612
00:33:11,000 --> 00:33:14,720
Speaker 2: Through sorry persevere through uncertainty. You believe in a future

613
00:33:15,040 --> 00:33:19,560
Speaker 2: you cannot yet see. That is faith in action. Parenting

614
00:33:19,880 --> 00:33:23,880
Speaker 2: requires even more. Tell me a little bit about your philosophy.

615
00:33:23,240 --> 00:33:26,040
Speaker 4: There, Yes, of course, well, parenting, you know, when you

616
00:33:26,040 --> 00:33:28,600
Speaker 4: get a child, you don't know, you know, you find

617
00:33:28,600 --> 00:33:31,960
Speaker 4: out years later sort of you know the resource in

618
00:33:32,080 --> 00:33:35,719
Speaker 4: it the results of your work. So I think I

619
00:33:35,760 --> 00:33:39,440
Speaker 4: think that you know, our job as parents is to

620
00:33:39,600 --> 00:33:42,720
Speaker 4: develop agency in our children, is to learn to help

621
00:33:42,760 --> 00:33:45,000
Speaker 4: them discover who they are, and for us to learn

622
00:33:45,040 --> 00:33:48,240
Speaker 4: who they are and to help them develop agency and

623
00:33:48,320 --> 00:33:51,600
Speaker 4: develop personal responsibility. It's not our job to do things

624
00:33:51,760 --> 00:33:55,360
Speaker 4: for our children. It is our job to help them

625
00:33:55,440 --> 00:33:57,320
Speaker 4: learn how to do things for themselves. And I think

626
00:33:57,400 --> 00:34:00,920
Speaker 4: it takes a lot of faith and confidence in your

627
00:34:01,040 --> 00:34:04,080
Speaker 4: child to to do that and not to just jump

628
00:34:04,120 --> 00:34:06,800
Speaker 4: in and make everything happen for them, because I think

629
00:34:07,040 --> 00:34:09,160
Speaker 4: a lot of people really think that the best way

630
00:34:09,160 --> 00:34:11,920
Speaker 4: to parents is to do everything for your child, and

631
00:34:11,960 --> 00:34:16,160
Speaker 4: it really isn't. And I think that you know, I

632
00:34:16,200 --> 00:34:19,680
Speaker 4: have two very thriving kids, and I think that the

633
00:34:19,719 --> 00:34:22,319
Speaker 4: biggest thing I celebrate about them is their agency. They

634
00:34:22,360 --> 00:34:26,800
Speaker 4: really are, you know, masters of their own faith and faith,

635
00:34:26,880 --> 00:34:31,240
Speaker 4: and they are really thriving because they're pursuing their passions.

636
00:34:31,560 --> 00:34:34,359
Speaker 4: They are good to the community around them, They do

637
00:34:34,440 --> 00:34:38,799
Speaker 4: acts of service, They you know, they stay work not

638
00:34:39,000 --> 00:34:41,880
Speaker 4: just for themselves, but also for a higher meaning. And

639
00:34:41,920 --> 00:34:46,280
Speaker 4: I think, you know, developing faith in or helping children

640
00:34:46,320 --> 00:34:50,719
Speaker 4: develop faith and be faithful and be believers is a

641
00:34:50,760 --> 00:34:53,280
Speaker 4: great way to get them to be able to self

642
00:34:53,280 --> 00:34:56,000
Speaker 4: regulate and to actually build agency in them because they

643
00:34:56,040 --> 00:34:58,799
Speaker 4: know that it's not just what they see on social media.

644
00:34:58,840 --> 00:35:01,440
Speaker 4: It's not it's it's you know, it's between them and

645
00:35:01,520 --> 00:35:09,360
Speaker 4: a much higher, higher, higher source of grace. So yeah,

646
00:35:09,400 --> 00:35:12,839
Speaker 4: so I think help them develop agency and also help

647
00:35:12,880 --> 00:35:18,200
Speaker 4: them develop faith in God because that helps them be maintained,

648
00:35:18,280 --> 00:35:21,080
Speaker 4: you know, be contained, be self regulated, be happy.

649
00:35:21,200 --> 00:35:25,919
Speaker 2: Ultimately, I agree, And you know what it's so it's

650
00:35:25,960 --> 00:35:29,640
Speaker 2: so antithetical to I think how we want to act

651
00:35:29,640 --> 00:35:32,000
Speaker 2: as parents. We want to be there to do everything

652
00:35:32,080 --> 00:35:35,320
Speaker 2: for our kids. And look, when they're babies, when they're infants,

653
00:35:35,680 --> 00:35:39,040
Speaker 2: that's one thing, you know, they're they're completely unable to

654
00:35:39,080 --> 00:35:40,160
Speaker 2: do those things for themselves.

655
00:35:40,160 --> 00:35:41,160
Speaker 1: They're relying on us.

656
00:35:41,400 --> 00:35:43,120
Speaker 2: But once they get to a certain age, You're right,

657
00:35:43,160 --> 00:35:45,680
Speaker 2: I think you have to let them have some agency

658
00:35:45,719 --> 00:35:48,200
Speaker 2: and what they do and teach them how to do things,

659
00:35:48,320 --> 00:35:49,600
Speaker 2: not do things for them.

660
00:35:49,840 --> 00:35:51,160
Speaker 1: How are your kids machine?

661
00:35:51,360 --> 00:35:53,279
Speaker 4: My kids are twenty six to twenty eight, But they

662
00:35:53,360 --> 00:35:57,000
Speaker 4: started work pretty early. They started with service very very early.

663
00:35:57,120 --> 00:36:00,040
Speaker 4: I used to take them with me, you know, and

664
00:36:00,120 --> 00:36:03,480
Speaker 4: we did volunteering work. We did huge amount of volunteering

665
00:36:03,600 --> 00:36:07,080
Speaker 4: through their schools. And they both had jobs. One of

666
00:36:07,120 --> 00:36:09,200
Speaker 4: them started at twelve, one of them at thirteen. And

667
00:36:09,200 --> 00:36:11,960
Speaker 4: I know it's illegal, it's not legal in California for

668
00:36:12,000 --> 00:36:14,680
Speaker 4: people to have jobs before they're sixteen. So we were

669
00:36:14,719 --> 00:36:17,120
Speaker 4: able to get friends and others to give them jobs.

670
00:36:17,120 --> 00:36:20,080
Speaker 4: But yeah, my kids, My kids were working at twelve

671
00:36:20,080 --> 00:36:23,919
Speaker 4: to thirteen every summer, and you know, they were working

672
00:36:23,960 --> 00:36:27,600
Speaker 4: in tech jobs, in nonprofit jobsment government jobs. They had,

673
00:36:27,640 --> 00:36:29,640
Speaker 4: you know, they had many jobs. Actually, one of them

674
00:36:29,680 --> 00:36:33,919
Speaker 4: worked with the great David Eagleman, who works on brain,

675
00:36:34,000 --> 00:36:36,279
Speaker 4: computer and action. You mentioned people being able to do

676
00:36:36,320 --> 00:36:38,200
Speaker 4: things that they weren't born to be able to do,

677
00:36:38,320 --> 00:36:43,640
Speaker 4: so David's David works on helping deaf people be able

678
00:36:43,640 --> 00:36:47,800
Speaker 4: to hear using technology. So my son worked on BCI

679
00:36:47,880 --> 00:36:50,879
Speaker 4: with David Eagleman one summer, and then he worked at

680
00:36:50,880 --> 00:36:56,080
Speaker 4: carnegiem Mellen with with a BCI scientist there for a summer.

681
00:36:56,160 --> 00:37:00,640
Speaker 4: So it's so important that kids start doing things early,

682
00:37:01,040 --> 00:37:04,600
Speaker 4: and they get their hands dirty early, and they start

683
00:37:04,680 --> 00:37:07,440
Speaker 4: finding out what they're all about. This is all critical

684
00:37:07,960 --> 00:37:11,680
Speaker 4: part of them developing agency and being in awe. You know,

685
00:37:11,719 --> 00:37:15,120
Speaker 4: we have so many great things happening in this country.

686
00:37:15,200 --> 00:37:17,600
Speaker 4: They are there's so much to do and and I think,

687
00:37:17,920 --> 00:37:20,680
Speaker 4: you know, well, I I was a professional mother, so

688
00:37:20,719 --> 00:37:23,120
Speaker 4: I spent I comeschooled my kids and I sent them

689
00:37:23,160 --> 00:37:25,720
Speaker 4: to school for for a period of time, but I

690
00:37:25,760 --> 00:37:30,480
Speaker 4: their education was foremost in our mind. I considered their education,

691
00:37:30,800 --> 00:37:34,279
Speaker 4: you know. I was considered myself their primary teacher throughout.

692
00:37:34,480 --> 00:37:37,200
Speaker 4: So they did end up going to university. They went

693
00:37:37,239 --> 00:37:41,200
Speaker 4: to Georgetown and Stanford, and but they you know, it

694
00:37:41,239 --> 00:37:43,799
Speaker 4: was a it was a great journey, ended up taking

695
00:37:43,840 --> 00:37:46,760
Speaker 4: him to over one hundred countries and they learned about

696
00:37:47,200 --> 00:37:52,239
Speaker 4: everything from you know, genocide as an experience of you know,

697
00:37:52,320 --> 00:37:55,040
Speaker 4: being at Auschwitz and berken out. So you can't just

698
00:37:55,120 --> 00:37:57,040
Speaker 4: teach a kid, you know, never again you have to

699
00:37:57,120 --> 00:38:00,880
Speaker 4: kind of give them context because kids don't have kids

700
00:38:00,880 --> 00:38:03,960
Speaker 4: don't really have contacts, they don't have no history, so

701
00:38:04,120 --> 00:38:06,960
Speaker 4: they can't really they don't really know what you mean. So,

702
00:38:07,520 --> 00:38:10,120
Speaker 4: you know, just reading books to them is absolutely wonderful,

703
00:38:10,200 --> 00:38:15,040
Speaker 4: but also experiential learning can be very important in building agency.

704
00:38:15,440 --> 00:38:20,719
Speaker 2: Wow, what an incredible you know, sheet of accomplishments you

705
00:38:20,760 --> 00:38:25,360
Speaker 2: already have, new Sheine. You're incredible to your personal accomplishments

706
00:38:25,360 --> 00:38:29,359
Speaker 2: in terms of you know, your your work that you've

707
00:38:29,400 --> 00:38:32,200
Speaker 2: done and sort of your history there, and then on

708
00:38:32,239 --> 00:38:35,520
Speaker 2: top of that, to be an incredible mother who clearly

709
00:38:35,640 --> 00:38:39,680
Speaker 2: has done an amazing job at raising great kids. We

710
00:38:39,840 --> 00:38:42,359
Speaker 2: all are fortunate to be able to learn a lot

711
00:38:42,400 --> 00:38:45,239
Speaker 2: from you, and I appreciate you taking time to come

712
00:38:45,239 --> 00:38:47,600
Speaker 2: on here with us and share a little bit about

713
00:38:47,640 --> 00:38:51,520
Speaker 2: what you do, what you've done, and hopefully inspire all

714
00:38:51,560 --> 00:38:54,479
Speaker 2: of us, because this is something I'll take My kids

715
00:38:54,480 --> 00:38:57,359
Speaker 2: are six and eight, and Eric and I talk all

716
00:38:57,400 --> 00:39:00,239
Speaker 2: the time about how important it is that when they

717
00:39:00,280 --> 00:39:03,399
Speaker 2: are of an age where they can work, they absolutely

718
00:39:03,440 --> 00:39:06,080
Speaker 2: will work. And so I'm taking a lot of that

719
00:39:06,160 --> 00:39:08,840
Speaker 2: from you today as well, and I appreciate you sharing

720
00:39:08,840 --> 00:39:09,319
Speaker 2: it with us.

721
00:39:09,360 --> 00:39:11,720
Speaker 1: So so Thank you so much.

722
00:39:11,640 --> 00:39:15,200
Speaker 2: Nushin Hashani care your time today for joining us here

723
00:39:15,239 --> 00:39:15,920
Speaker 2: on the Right View.

724
00:39:15,960 --> 00:39:17,280
Speaker 1: We appreciate it very much.

725
00:39:17,600 --> 00:39:19,319
Speaker 4: It's my pleasure, all right.

726
00:39:19,440 --> 00:39:21,719
Speaker 2: Everybody at home is always make sure you like subscribe,

727
00:39:21,760 --> 00:39:23,520
Speaker 2: Sharon follow. We'll see you back here next time for

728
00:39:23,600 --> 00:39:24,600
Speaker 2: more of the Right View.

729
00:39:25,560 --> 00:39:28,200
Speaker 1: And oh well back down

730
00:39:32,080 --> 00:39:35,560
Speaker 3: By man, there ain no way