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Speaker 1: Welcome back to a numbers game with Ryan Grodowski. Thank

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Speaker 1: you guys for being here again. So I have some

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Speaker 1: big news to share with you, something that I've been

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Speaker 1: working on for about a year. For those who aren't

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Speaker 1: aware of my career and my history, back in twenty

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Speaker 1: twenty one, I got some's in school in the fourth grade,

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Speaker 1: and his teacher made his class we as zoomed. This

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Speaker 1: is during COVID during lockdown, read a book called Race

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Speaker 1: Cars about how police profile black cars and not white cars,

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Speaker 1: and having a whole conversation about police brutality, say was

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Speaker 1: highly inappropriate, especially in a room where a lot of

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Speaker 1: people's parents were police officers. So I became outraged, and

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Speaker 1: I called a local elected official and PTA and all

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Speaker 1: the rest of us, and I just wondered, how big

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Speaker 1: of a problem is this nationwide? And so I really

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Speaker 1: became determined then to create a school board super PACs

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Speaker 1: and I had never been done before, to get involved

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Speaker 1: in local elections and try to help candidates get elected

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Speaker 1: to office running for school board unconservative policies, and the

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Speaker 1: pack has become and I don't like to brag about myself,

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Speaker 1: but it's probably the most successful local government political action

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Speaker 1: committee in the country, especially on the right. There's no

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Speaker 1: question I don't think. I've helped elect hundreds of conservatives

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Speaker 1: for school board office across the country, and they've done

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Speaker 1: amazing things with what they've done since they've been elected.

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Speaker 1: After years of doing this, I would often hear back

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Speaker 1: from candidates after they were elected and saying, what do

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Speaker 1: we do? How do we what's the next steps? What

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Speaker 1: are some policy positions you can advise me on? What

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Speaker 1: are some things I should be doing differently? And I

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Speaker 1: didn't know the answer, and there were not a lot

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Speaker 1: of institutions that were spending the necessary time talking about

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Speaker 1: K through twelve, public education, sometimes in politics, and I'll

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Speaker 1: speak from a conservative stanpoint because I know it best,

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Speaker 1: but I know it's true on the progressive side, where

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Speaker 1: there is a lot of money in something, there is

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Speaker 1: a lot of interest because people pay for studies and

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Speaker 1: for lobbying and full the rest of it. But there's

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Speaker 1: a lot of money in school choice and in school

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Speaker 1: vouchers and not saying those things aren't good, they are

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Speaker 1: many times, but there is a lot of money. So too, Conservatives,

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Speaker 1: those ideas have become silver bullets that that's our solution

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Speaker 1: to all educational questions. Regardless of the fact that a

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Speaker 1: majority of kids go to public school and will go

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Speaker 1: to public school for the foreseeable future, and you have

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Speaker 1: to address where our kids are going, what they're doing.

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Speaker 1: You cannot wait until enough boucher programs are built. And also,

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Speaker 1: even though some kids are not going to public schools anymore,

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Speaker 1: they're going to private schools, they're going to charter schools,

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Speaker 1: the budgets for public schools still exists. They're affecting your

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Speaker 1: property value, they're affecting your taxes, They're affecting so much

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Speaker 1: they're still a whole unionized teachers' union in many states

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Speaker 1: that are having effects on our politics. You have to

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Speaker 1: address these issues. You can't just ignore them. So I said, okay,

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Speaker 1: we have to figure out something to do where we

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Speaker 1: are advising people in a nonpartisan way in case there

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Speaker 1: are moderates and even some progressives, are some Democrats who

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Speaker 1: want to know more about certain issues, that we could

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Speaker 1: sit there and fill that void. So last year I

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Speaker 1: created a foundation, a nonprofit cl the seventeen seventy six

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Speaker 1: Project Foundation, where we look at issues regarding public education,

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Speaker 1: AI technology, Singapore, math, phonics, history, budget, information, truancy, discipline.

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Speaker 1: These are real complicated issues. I always about schol district.

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Speaker 1: School districts are like snowflakes. They all look alike from afar,

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Speaker 1: but when you're under a microscope, they're all very, very different,

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Speaker 1: and their needs are different, and it's very important to

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Speaker 1: address them on an individual basis. Right, school board members

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Speaker 1: come to us say this is the issue, let's figure

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Speaker 1: out a solution. Now there may be a blueprint, but

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Speaker 1: they even modified that blueprint on this issue or for

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Speaker 1: this specificity or that specificity. So it's something we've been

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Speaker 1: working with and I tapped my colleague and my employee,

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Speaker 1: Aidan Bizetti to run it. He's brilliant, he's a really

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Speaker 1: hard work or. He's something I've really had a lot

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Speaker 1: of pleasure getting to know and call him a colleague.

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Speaker 1: It's one of the great things is meeting some certain people.

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Speaker 1: And Aiden's definitely, you know, a five star superstar. So anyway,

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Speaker 1: I had Aiden's run the foundation. Aiden sits there and

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Speaker 1: takes the job and he's doing great work. And so

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Speaker 1: it's building on this nonprofit. And one day him and

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Speaker 1: I were in California for some fundraising events and we're

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Speaker 1: on a work trip and we're in a car, and

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Speaker 1: I brought up a story to him that I had

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Speaker 1: remembered from years ago, from watching a local news show

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Speaker 1: from years ago in a state that I do not

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Speaker 1: live in. My brain is very strange, by the way,

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Speaker 1: because I will recall a local news channel doing it

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Speaker 1: like an investigation into Bigfoot or this story or whatever

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Speaker 1: the case is, but I won't know why I walk

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Speaker 1: into the kitchen like it's very I don't understand why,

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Speaker 1: you know why I have to certain things live rent

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Speaker 1: free in my head all the time, but things I

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Speaker 1: need to know, like there'll be a word of like

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Speaker 1: what is that word again? And I just completely blank

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Speaker 1: and then like seven hours later, I want to scream

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Speaker 1: at the air as I remember it. Anyway, So the

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Speaker 1: story that I remembered in that car with Aiden was

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Speaker 1: their school district in Los Angeles, in the neighborhood of

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Speaker 1: Silver Lake, if you know the Los Angeles area they were.

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Speaker 1: Their student population was changing pretty dramatically. Gentrification had really

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Speaker 1: brought a lot of white families into the district, and

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Speaker 1: Los Angeles School District has a rule that if a

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Speaker 1: district becomes thirty percent white or greater, they lose funding. Well.

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Speaker 1: Later on in the day, I spoke at an event

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Speaker 1: full of conservatives in Los Angeles. I brought this up,

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Speaker 1: and no one had heard about it. None of them

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Speaker 1: had ever heard this story. When I brought this up.

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Speaker 1: This is how their city functioned. This is how their

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Speaker 1: local unified public school district function So I got back

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Speaker 1: in the car with Aiden and we headed our way

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Speaker 1: to the airport, and I told him that this policy

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Speaker 1: is blatant racial discriminating against whites. It is absolute racial discrimination,

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Speaker 1: and we have to do something about it. Like no

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Speaker 1: one even knows about this, and thousands upon thousands of

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Speaker 1: kids are affected by this, not only even just white kids,

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Speaker 1: but also minority kids who are in a school district

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Speaker 1: that's too white. They're all affected by this. This is racism.

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Speaker 1: If we don't do it, no one's going to do it.

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Speaker 1: So it is. I'm very excited to announce that the

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Speaker 1: seventeen seventy six Project Foundation, which I founded, is suing

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Speaker 1: Los Angeles Unified School District for racial discrimination against white students.

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Speaker 1: We spoke to parents in the district, we spoke to

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Speaker 1: policy makers, we spoke to so many people to discuss

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Speaker 1: what was going on. And we've found plaintiffs and this

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Speaker 1: is a real lawsuit like we're really doing. We're suing

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Speaker 1: LA Unified for racial discrimination against white students. I know

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Speaker 1: this sounds redundant, but racial discrimination is wrong. It's wrong

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Speaker 1: when you do it against Black Americans, and it's wrong

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Speaker 1: when you do it against white Americans. Democrats like to

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Speaker 1: pat themselves on the back and believe that this law

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Speaker 1: there a great defenders against racial discrimination when they have

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Speaker 1: become their biggest champions. You saw it in the Harvard

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Speaker 1: case against Asian Americans with a firmative action. You're seeing

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Speaker 1: it now in Virginia, where a Democratic legislator named jayon

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Speaker 1: Ward I think he pronounced the name of is Geo Ward,

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Speaker 1: on her first day with a unified Democratic government, put

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Speaker 1: forward a bill to openly discriminate against white males who

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Speaker 1: want to work for the government as a contractor. The

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Speaker 1: bill said that for discretionary contracts under one hundred thousand dollars,

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Speaker 1: white men are barred from even being considered unless the

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Speaker 1: work is literally free, they're not getting any compensation for it,

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Speaker 1: or there's no competition. And even then, this bill allows

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Speaker 1: for agencies to award contracts to women or minority owned

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Speaker 1: firms that are five percent more expensive than the bid

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Speaker 1: from white business owners. It is discrimination. It's a tax

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Speaker 1: on being white and being male. And in the case

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Speaker 1: of Los Angeles Unified School District, this is the first

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Speaker 1: major education lawsuit regarding racial discrimination against white students in

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Speaker 1: the country. This is the first one against public schools

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Speaker 1: that are doing this. I mean this is this is

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Speaker 1: like the Harvard case, which is about Asian Americans for

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Speaker 1: white Americans, for white students who are being tax dollars

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Speaker 1: are being used to discriminate against them. It is my

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Speaker 1: deep concern that as time has come on that there

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Speaker 1: is this push by the far left to increasingly take

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Speaker 1: on this narrative of racial resentment against whites, and it

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Speaker 1: will only continue. And that is why it is so

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Speaker 1: important right now to take on these discriminary discriminatory laws

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Speaker 1: so that way more aren't created, so that way we

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Speaker 1: have you know, judicial precedent to plamp down on this,

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Speaker 1: to stop it and to hopefully end this kind of discrimination.

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Speaker 1: So yes, I'm very excited announce this. I've been working

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Speaker 1: on this for a year. It's been We are willing

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Speaker 1: to take this as far as possible. We are willing.

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Speaker 1: If they want to take this to the Supreme Court,

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Speaker 1: we are going to meet them at that. We are

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Speaker 1: going to take this anywhere it possibly can. We are

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Speaker 1: determined to get this law reversed. And if this, if

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Speaker 1: we find out more, where we find out more schools

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Speaker 1: are doing this, We're going to take it to them too.

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Speaker 1: We're going to use this to as the blueprint of

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Speaker 1: what the law defines as the racial discrimination, what is

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Speaker 1: discriminatory against white students, And we are going to be

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Speaker 1: there in this case and possibly more cases in the

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Speaker 1: future if they're brought to us. So I'm very excited

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Speaker 1: about this and I will keep you guys posted. So

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Speaker 1: coming up for this episode is the president of the

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Speaker 1: seventeen seventy six Project Foundation, my good friend, my employee,

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Speaker 1: my colleague, Aida and Bizetti. He's going to sit there

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Speaker 1: and tell everybody the marriage of this lawsuit. I'm very excited.

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Speaker 1: Stay tuned. Aiden Bizzetti is the president of the seventeen

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Speaker 1: seventy six Project Foundation, my colleague for the last four years. Aiden.

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Speaker 1: Thank you for coming on, not that you had that

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Speaker 1: much of a choice, but thank you for being here.

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Speaker 1: Thank you for having me on.

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Speaker 2: Ryan.

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Speaker 1: It's it's always a pleasure. And so before we go

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Speaker 1: into the actual lawsuit, what was your and I never

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Speaker 1: I want to know your actual thing because you worked

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Speaker 1: with me for a while. Now, what was your reaction

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Speaker 1: when I told you about this story.

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Speaker 2: I'm gonna be honest, I didn't really believe it. I

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Speaker 2: thought it was just one of the things that you say.

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Speaker 2: But but I mean it was.

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Speaker 1: It was. It was true things I say.

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Speaker 2: Yeah, I mean sometimes you say the craziest thing and

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Speaker 2: they're always true. By the way, like I did, I

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Speaker 2: didn't believe it.

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Speaker 1: Now, I didn't.

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Speaker 2: I didn't believe it, or I guess I thought it

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Speaker 2: was possible, but I didn't understand how explicit the program

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Speaker 2: actually was in the school district itself.

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Speaker 1: Well, when we went to go do that speaking event

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Speaker 1: later on the day, I brought it up and no

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Speaker 1: one believed it or have heard of it. Do you

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Speaker 1: remember that? Yes, it was.

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Speaker 2: There was like an audible gasp from people, and then

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Speaker 2: every single person that came up to you they were like,

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Speaker 2: oh my gosh, is this actually true?

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Speaker 1: Every single person. Yeah, it was. It was the one

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Speaker 1: thing that was kind of wild. And when I said

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Speaker 1: to you, like I want to see if we could,

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Speaker 1: I will credit aid and I sometimes I throw eight

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Speaker 1: in it almost impossible tasks, and nine times, ninety nine

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Speaker 1: times out of one hundred he gets them done. This

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Speaker 1: if you ever see like the Devil War's product, it

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Speaker 1: was very much get me a copy of the new

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Speaker 1: Harry Potter book moment. But I was like, let's toe

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Speaker 1: LA Unified. And I mean that was really like, I mean,

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Speaker 1: did you were you like Bryan's really lost his mind

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Speaker 1: at this moment, maybe only a little bit.

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Speaker 2: I was like, I was like, uh, how am I

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Speaker 2: supposed to do this? Figured it out luckily enough, but yeah,

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Speaker 2: it was.

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Speaker 1: A lawyer in like three months learning all of the

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Speaker 1: whole entire process. So okay, let's go into the actual lawsuit.

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Speaker 1: Is what does LA Unify do that is racially discriminatory?

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Speaker 2: So they have a program called the PHBO, which stands

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Speaker 2: for predominantly Hispanic, Asian, Black or other non Anglo. And

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Speaker 2: through that PHBO program, which comes from a decades old

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Speaker 2: order which we can get into in just a minute,

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Speaker 2: they use the racial makeup of their individual schools to

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Speaker 2: assign specific preferences to the schools that are designated PHBO,

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Speaker 2: which means that their student population is less than thirty

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Speaker 2: percent white, they get a set ratio for the class size.

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Speaker 2: They get more funding for teachers and administrators, they have

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Speaker 2: set parent teacher conferences, as well as more points in

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Speaker 2: their Magnet application system. So if you come from a

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Speaker 2: racially a racial minority background or from those schools, you

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Speaker 2: get additional points when you are applying to a Magnet program.

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Speaker 1: So so basically, if you as long as you don't

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Speaker 1: go to a school that is thirty percent white or greater,

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Speaker 1: you get all these benefits that are not that are

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Speaker 1: excluded from whites, and not even just whites, excluded from

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Speaker 1: non whites who happen to have one in three kids

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Speaker 1: in the same classroom. Being white extraordinarily discriminatory. Where does

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Speaker 1: this rule or like this not law, but I guess

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Speaker 1: this rule come from.

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Speaker 2: So it comes from a court order from the early eighties.

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Speaker 2: I believe it was nineteen eighty one. Actually stems originally

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Speaker 2: from a lawsuit in the sixties. In the sixties, Los

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Speaker 2: Angeles Unified was majority white, and so they had a lawsuit,

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Speaker 2: a desegregation lawsuit brought against the district. It took twenty

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Speaker 2: years to resolve, and in the nineteen eighty one order,

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Speaker 2: they basically commended that the school district they basically set

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Speaker 2: the ratio, so twenty five to one are there or

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Speaker 2: twenty seven to one or lower student teacher ratio for

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Speaker 2: the classrooms in majority non white schools. What they didn't

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Speaker 2: do was demand that the school district set a higher

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Speaker 2: ratio for what would be a quote unquote white school.

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Speaker 2: But the most striking thing in the court order which

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Speaker 2: really led us to proceed with this was that the

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Speaker 2: nineteen eighty one order, the judge said that the circumstances

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Speaker 2: the makeup of the district had no relevance to what

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Speaker 2: it was twenty years prior when the suit was first filed.

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Speaker 2: So in that twenty year period, the district went from

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Speaker 2: majority white to majority non white, and they just wanted

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Speaker 2: to end the lawsuits. So the judge wrote in the

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Speaker 2: order that they just needed to bring a resolution to

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Speaker 2: the case. So it was a ruling that they also

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Speaker 2: found no actual segregation in this sp school district, which

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Speaker 2: was one of the main reasons that it was filed.

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Speaker 2: So they basically suggested a bunch of solutions to the

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Speaker 2: district that over the last forty years has been more

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Speaker 2: f new a program that is actually discriminatory against white

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Speaker 2: students and Middle Eastern students as well.

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Speaker 1: Right, because I think this is a really important dealt.

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Speaker 1: What is considered white is ever changing. Right, Middle Easterners

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Speaker 1: are considered white, Persians are considered white. People from the

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Speaker 1: Caucuses are considered white. Certain Latin American countries are considered white.

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Speaker 1: There's no like strict terminology. It's this moving goalpost. And

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Speaker 1: it's funny. When we spoke to a few reporters and

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Speaker 1: journalists about this, their answer was like, oh, well, there

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Speaker 1: is in an imbalance, almost as if every school is

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Speaker 1: required to be twenty five twenty five, twenty five to

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Speaker 1: twenty five, like literally like perfect proportion, even with no change.

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Speaker 1: What makes it odd to me is if you're in

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Speaker 1: a city that is, you know, minority white, with the

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Speaker 1: student population and being extremely minority white, how is there

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Speaker 1: an expectation that you're going to have an even distribution

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Speaker 1: of a very small population like that makes no sense.

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Speaker 1: And the fact that a lot of these post civil

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Speaker 1: rights litigation and laws, they're for a country that doesn't

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Speaker 1: exist anymore, Like the populations aren't there. We used to

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Speaker 1: be a biracial country, We're now a multi racial country,

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Speaker 1: so that in itself is always kind of like strange

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Speaker 1: and daunting. How tell me about the process of reaching

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Speaker 1: out to parents and what they were afraid of join

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Speaker 1: this lawsuit.

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Speaker 2: Yeah, so when we started the process early on, we

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Speaker 2: worked obviously with parent groups, individual parents, trying to define

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Speaker 2: any connection to people who currently have student or children

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Speaker 2: in the school district, currently students or in some way

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Speaker 2: another head standing for this lawsuit. And there were a

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Speaker 2: couple of main roadblocks to it. The first was that

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Speaker 2: many of the parents who could afford to took their

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Speaker 2: children out of the public school system, So that alone

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Speaker 2: eliminated a number of parents and students because they simply

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Speaker 2: didn't believe in the public school system that it was

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Speaker 2: good anymore. That the second was for the people who

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Speaker 2: did have children, who did have standing, were members of

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Speaker 2: our organization, they were afraid of retaliation. So if you

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Speaker 2: look at our complaint, our plaintiffs are anonymous and we

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Speaker 2: are representing them. We are suing on their behalf, but

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Speaker 2: they requested anonymity because they are afraid of retaliation from

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Speaker 2: both the school district because they currently have students in

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Speaker 2: Los Angeles public schools, but also the community at large

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Speaker 2: is a very liberal community, and it's hard to tell

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Speaker 2: what the social ramifications will be. Talking to the parents

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Speaker 2: and one giving them the rundown of what's happening and

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Speaker 2: how they've been discriminated against them, and two convincing them

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Speaker 2: to take part in this lawsuit was I wouldn't say

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Speaker 2: it was a large challenge, but it did require many

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Speaker 2: extended conversations to give people assurance that they weren't going

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Speaker 2: to face the social consequences and austraization of their community

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Speaker 2: as a result of this.

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Speaker 1: You know, for people who are political and very political

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Speaker 1: involved in interested in politics and involved, it seems like

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Speaker 1: how could you not want to sit there and do this?

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Speaker 1: But for normal everyday people, it is like why would

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Speaker 1: you want to put yourself in the firing line. So

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Speaker 1: the parents that did come forward, I mean, are extremely

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Speaker 1: brave for getting involved in this. What are I mean

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Speaker 1: we're working now to try to do we file this

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Speaker 1: lawsuit in federal court? What are next steps? Let's say

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Speaker 1: I have a question, perfect question for you. Let's say

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Speaker 1: you're a parent listening to this and you have a

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Speaker 1: kidnewy unified. Is it possible sit they're and try to

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Speaker 1: join this lawsuit.

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Speaker 2: Yes, So as of the day that we filed it,

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Speaker 2: which would be Jare twentieth, we have I believe it's

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Speaker 2: between thirty to sixty days I think close to the

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Speaker 2: thirty side where we can make changes to the complaint

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Speaker 2: before we officially serve it to the school district. So

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Speaker 2: there's about a month window where parents could join as

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Speaker 2: plaintiffs on this lawsuit, or organizations that represent parents in

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Speaker 2: that area could do what we have done and ensue

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Speaker 2: or join this on behalf of their members. Once we

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Speaker 2: serve it to the district, then we start the whole

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Speaker 2: legal process. Where we serve it, they file a response,

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Speaker 2: probably try to get it dismissed. We respond to that,

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Speaker 2: and the back and forth continues, and they have and

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Speaker 2: the legal bills continuum, and the legal bills continue, and

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Speaker 2: the billable hours skyrocket and all of that fun stuff

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Speaker 2: for budgeting. But we have, yes, we have thirty days

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Speaker 2: before we serve it. Then they have I think twenty

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Speaker 2: days to respond. So we're looking at just for the

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Speaker 2: opening period of this case at least two to three

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Speaker 2: months before we really get into the meat of it.

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Speaker 1: Right, And I think the discovery part of it's going

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Speaker 1: to be very very interesting if they go there, and

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Speaker 1: if they go further. I think that this law stuit

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Speaker 1: is really important one because we're willing to take it

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Speaker 1: as far as we possibly can, you know, to make

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Speaker 1: sure this law has ramifications and has changed, but also

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Speaker 1: because it could serve as a model for other districts

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Speaker 1: that are doing discriminatory practices against I mean, it's primarily

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Speaker 1: it's there. There was such a pushback of the civil

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Speaker 1: rights laws against you know, discrimination against minorities that for

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Speaker 1: some reason, discrimination against whites became acceptable to certain people.

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Speaker 1: So I think this would become a good case study

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Speaker 1: for people for looking at other places that have discrimination

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Speaker 1: against white students that you know, that need to be changed. Certainly,

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Speaker 1: what are some other things the nonprofit seventy six Foundation

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Speaker 1: Project Foundation is working on right now.

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Speaker 2: So we've been working a lot actually on disciplinary policies

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Speaker 2: and artificial intelligence AI in particular is a real high

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Speaker 2: button issue for many many reasons. And many of the

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Speaker 2: school board members that we've been working with are split.

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Speaker 2: You know this of course, but on the pack side,

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Speaker 2: many of the people who were running for school board

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Speaker 2: during the pandemic were very much pro transparency. They were

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Speaker 2: anti lockdown, anti mask mandate. They were very skeptical of

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Speaker 2: technology in the classroom and just a lot of the

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Speaker 2: waste that comes along with it.

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Speaker 1: Yeah, learning by zoom, which proved in the end not

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Speaker 1: to be that effective.

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Speaker 2: And so many of these people have been fairly in

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Speaker 2: favor of cell phone bands. But now that AI has

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Speaker 2: rapidly become an issue, of course, people are saying to

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Speaker 2: them it's such an important tool. Kids need to know

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Speaker 2: how to use it to navigate the modern world and workforce,

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Speaker 2: which I think is a little bit overstated, but they've

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Speaker 2: been You know, many of these school districts have budgets

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Speaker 2: in the millions and billions, so they have a lot

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Speaker 2: of vendors come to them promising them miracle solutions and tools.

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Speaker 1: This is aig. This is that people do not understand

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Speaker 1: when it comes to education. You're like, how is there

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Speaker 1: so much waste? If you were running, if you were

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Speaker 1: a superintendent of a county wide school district, especially like

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Speaker 1: in Arizona or in Florida. When I Arizona, Florida, California, Nevada,

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Speaker 1: or a major school district outside of Dallas or outside

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Speaker 1: of New York, the amount of vendors who come to

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Speaker 1: you constantly, who throw parties, who throw retreats, whatever, and

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Speaker 1: just pedal stuff to you is wild. There was one

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Speaker 1: I remember this one school district in uside Dallas where

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Speaker 1: they found out they were doing they had three of

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Speaker 1: the same reading programs. Do you remember the story, Like

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Speaker 1: they were like the literal of the school this news

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Speaker 1: sintendent was like, this is crazy. And that's why one

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Speaker 1: of the women we work with, who was a school

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Speaker 1: board member at in Florida or she always says you

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Speaker 1: need to do audits immediately upon entering office becoming a

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Speaker 1: school board member, because the amount of like what kind

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Speaker 1: of swamp inside even school districts is immense as far

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Speaker 1: as just crazy spending.

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Speaker 2: Goes exactly, and with a a lot of these AI

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Speaker 2: tools are kind of insane actually relevant. The LA Unified

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Speaker 2: School District spent several million dollars on a chatbot within

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Speaker 2: the last two years, and they had a huge scandal

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Speaker 2: because the startup that they used to build a chat

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Speaker 2: bot broke the law and they process student data overseas,

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Speaker 2: which is I mean, it violates existing federal privacy laws

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Speaker 2: among other things that are contract with the district. But

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Speaker 2: the superintendent went on a huge media tour talking about

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Speaker 2: this custom chatbot and you know, lo and behold it.

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Speaker 2: It puts student privacy at risk. So there are a

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Speaker 2: lot of things with this technology that board members and

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Speaker 2: superintendents are still trying to grapple with, and so we

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Speaker 2: hosted an AI working group retreat with school board members

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Speaker 2: in October and we've been working with them to craft

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Speaker 2: and pass AI policies in school districts at large. We've

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Speaker 2: been taking a middle ground approach where basically between grades

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Speaker 2: one through in elementary school, no technology, no AI. In

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00:24:33,280 --> 00:24:37,000
Speaker 2: middle school, we've actually had school districts adopt AI ethics

436
00:24:37,119 --> 00:24:41,119
Speaker 2: courses so they learn how to engage with AI and chatbots,

437
00:24:41,119 --> 00:24:44,200
Speaker 2: hopefully in a more responsible way, and then maybe allowing

438
00:24:44,240 --> 00:24:47,080
Speaker 2: some experimentation in the high school level, depending on what

439
00:24:47,119 --> 00:24:49,760
Speaker 2: the schools want to do. But we've been helping set

440
00:24:49,800 --> 00:24:52,960
Speaker 2: up that framework. We've had a few school boards pass it.

441
00:24:53,040 --> 00:24:53,320
Speaker 1: Now.

442
00:24:53,960 --> 00:24:57,480
Speaker 2: We've also been pushing a two hundred and fiftieth resolution.

443
00:24:57,600 --> 00:25:00,280
Speaker 2: It is the semi quens centennial in the US. We

444
00:25:00,320 --> 00:25:03,640
Speaker 2: have over twenty school districts that have passed a resolution

445
00:25:03,800 --> 00:25:07,639
Speaker 2: that celebrates the Semiquin centennial and instructs the superintendents and

446
00:25:07,720 --> 00:25:12,240
Speaker 2: principles to host civic events and bring in speakers and

447
00:25:12,359 --> 00:25:15,720
Speaker 2: talk about our founding principles and our documents. So I'm

448
00:25:15,800 --> 00:25:18,920
Speaker 2: very excited to actually see those start to play out.

449
00:25:18,960 --> 00:25:21,600
Speaker 2: Some of them happen as early as April, and as

450
00:25:21,800 --> 00:25:23,920
Speaker 2: some even continue the next year, depending.

451
00:25:23,600 --> 00:25:24,680
Speaker 1: On what the Boar wants to do.

452
00:25:24,760 --> 00:25:27,200
Speaker 2: So we've been working on those projects and they've been

453
00:25:27,320 --> 00:25:29,920
Speaker 2: we've had an amazing response from school ward members so far.

454
00:25:30,480 --> 00:25:33,639
Speaker 1: Yeah, it's you've got you've done. The Foundation's only a

455
00:25:33,760 --> 00:25:36,639
Speaker 1: year old and it's done really incredible work because you

456
00:25:37,040 --> 00:25:39,959
Speaker 1: run in your year star, So thank you so much

457
00:25:40,000 --> 00:25:41,960
Speaker 1: for doing this podcast. We're going to go to donate

458
00:25:42,000 --> 00:25:45,159
Speaker 1: to the foundation tax deductible or I just visit and

459
00:25:45,200 --> 00:25:46,960
Speaker 1: see what the law, what we're up to and with

460
00:25:47,040 --> 00:25:47,880
Speaker 1: the losses up to.

461
00:25:48,440 --> 00:25:52,800
Speaker 2: They should go to Foundation one seven seven six dot org.

462
00:25:52,840 --> 00:25:54,920
Speaker 2: We're going to be posting updates there. You can also

463
00:25:54,960 --> 00:25:57,119
Speaker 2: become a member of our organization and we'll be sending

464
00:25:57,119 --> 00:25:59,560
Speaker 2: out regular updates on what's happening in LA.

465
00:26:00,680 --> 00:26:06,240
Speaker 1: Thank you for coming this podcast. Thank you now it's

466
00:26:06,240 --> 00:26:08,919
Speaker 1: time for asking me anything. Guys. I'm so happy I

467
00:26:08,920 --> 00:26:11,879
Speaker 1: told you guys my inbox was empty because you filled it,

468
00:26:11,960 --> 00:26:14,080
Speaker 1: so I appreciate that so much. I have plenty of

469
00:26:14,160 --> 00:26:16,159
Speaker 1: questions to get to. If you want a part of

470
00:26:16,200 --> 00:26:18,000
Speaker 1: Asking Me Anything, I will get to all your questions.

471
00:26:18,040 --> 00:26:19,879
Speaker 1: By the way, if you're a part of Asking Me Anything,

472
00:26:19,880 --> 00:26:24,040
Speaker 1: only ryanat Numbers Gamepodcast dot com. Ryan at Numbers, Numbers

473
00:26:24,040 --> 00:26:27,000
Speaker 1: gamepodcast dot com. This makes it the whole show. I

474
00:26:27,040 --> 00:26:29,960
Speaker 1: love Ask Me Anything. First question was actually a YouTube

475
00:26:30,000 --> 00:26:34,439
Speaker 1: comment by a guy named Randy Hurlzoman. He writes about

476
00:26:34,560 --> 00:26:36,920
Speaker 1: the last episode where I talked about ICE deporting so

477
00:26:36,960 --> 00:26:39,920
Speaker 1: many people at places. We're losing congressional districts, district states.

478
00:26:39,960 --> 00:26:42,919
Speaker 1: We're losing congressional districts for the twenty thirty reapportionment. He

479
00:26:43,000 --> 00:26:46,280
Speaker 1: writes interesting analysis for the electoral college implications. Is there

480
00:26:46,280 --> 00:26:48,840
Speaker 1: any reason to believe that ICE is deporting more people

481
00:26:48,840 --> 00:26:52,520
Speaker 1: from blue states than red Seems like big red agricultural

482
00:26:52,520 --> 00:26:54,800
Speaker 1: states have a lot to lose too. That is a

483
00:26:54,800 --> 00:26:58,320
Speaker 1: great question. And no, they're actually deporting more people from

484
00:26:58,320 --> 00:27:02,040
Speaker 1: red states than blue but it doesn't matter. And let

485
00:27:02,040 --> 00:27:04,120
Speaker 1: me tell you first. The reason they're deporting more people

486
00:27:04,119 --> 00:27:07,199
Speaker 1: from red states than blue states is because the states

487
00:27:07,240 --> 00:27:10,600
Speaker 1: are complying with federal immigration law. So when someone is

488
00:27:10,720 --> 00:27:15,119
Speaker 1: arrested for a DUI and they're illegally here on the country,

489
00:27:15,480 --> 00:27:17,760
Speaker 1: a detainer is put out for them, they're picked up

490
00:27:17,800 --> 00:27:20,639
Speaker 1: by ICE, and then they are deported. That is not

491
00:27:20,720 --> 00:27:23,879
Speaker 1: happening in Blue states and Blue states. They are arresting

492
00:27:23,920 --> 00:27:26,560
Speaker 1: them and then releasing them, even with an ICE detainer,

493
00:27:26,600 --> 00:27:28,440
Speaker 1: to make sure that ICE cannot picked up and deport them.

494
00:27:28,480 --> 00:27:31,600
Speaker 1: Blue states are openly re releasing criminals back into communities.

495
00:27:32,600 --> 00:27:36,000
Speaker 1: The states with the most ICE arrests as of October

496
00:27:36,080 --> 00:27:38,159
Speaker 1: the fifteenth, which is the last state the federal government

497
00:27:38,160 --> 00:27:41,720
Speaker 1: has updated, was Texas with forty six thousand, six hundred

498
00:27:41,720 --> 00:27:45,200
Speaker 1: and thirty two ICE arrests, Florida with twenty thousand, one

499
00:27:45,320 --> 00:27:49,440
Speaker 1: hundred and eighteen, California with seventeen thousand, six hundred and

500
00:27:49,480 --> 00:27:52,920
Speaker 1: thirty seven, Georgia with eight thousand, three hundred and sixty five,

501
00:27:53,040 --> 00:27:55,280
Speaker 1: New York with seven thousand, two hundred and three, and

502
00:27:55,440 --> 00:27:58,800
Speaker 1: Arizona with five thousand, eight hundred and sixty eight. The

503
00:27:58,920 --> 00:28:02,480
Speaker 1: difference is those red states that I listed can afford

504
00:28:03,160 --> 00:28:08,160
Speaker 1: mass deportation because of so many Americans moving to those states.

505
00:28:08,359 --> 00:28:11,000
Speaker 1: Right even though Texas lost forty six thousand. I guess

506
00:28:11,040 --> 00:28:13,560
Speaker 1: people would be counted in a census for the purposes

507
00:28:13,600 --> 00:28:18,400
Speaker 1: of reapportionment. They're gaining well more than that because Americans

508
00:28:18,440 --> 00:28:21,600
Speaker 1: want to live in a no tax state with less regulations.

509
00:28:22,640 --> 00:28:27,439
Speaker 1: California losing seventeen thousand, six hundred people cannot afford to

510
00:28:27,440 --> 00:28:30,119
Speaker 1: lose people because they're already losing native born Americans. So no,

511
00:28:30,240 --> 00:28:33,080
Speaker 1: Red states are getting more people deported and arrested by

512
00:28:33,119 --> 00:28:36,359
Speaker 1: ice than blue states are, but blue states are Blue

513
00:28:36,400 --> 00:28:38,720
Speaker 1: states have more to lose because less Americans want to

514
00:28:38,760 --> 00:28:43,160
Speaker 1: move there. Okay, Emily writes short time listener, first time caller,

515
00:28:43,480 --> 00:28:47,120
Speaker 1: I just wanted to say, hi, Emily, a long time

516
00:28:47,280 --> 00:28:49,880
Speaker 1: speaker now, but I'm happy you're here. I just want

517
00:28:49,920 --> 00:28:51,720
Speaker 1: to say I think you truly hit the nail on

518
00:28:51,800 --> 00:28:54,360
Speaker 1: the head on how you answered your Famil question on

519
00:28:54,440 --> 00:28:57,760
Speaker 1: Friday's episode. It's almost like your thought was in my head.

520
00:28:57,840 --> 00:28:59,680
Speaker 1: I have been able to personally put into words about

521
00:28:59,680 --> 00:29:01,600
Speaker 1: how we are all children of God and it's and

522
00:29:01,840 --> 00:29:05,240
Speaker 1: us verst them where orange bad dynamic is really impacting

523
00:29:05,240 --> 00:29:07,360
Speaker 1: our communities in society. I feel like how you answer

524
00:29:07,440 --> 00:29:10,120
Speaker 1: your question is extremely clippable. For social media reels. I

525
00:29:10,120 --> 00:29:12,200
Speaker 1: should probably clip it. I'd never thought of that, and

526
00:29:12,240 --> 00:29:15,840
Speaker 1: it's really the kind of consciousness that I personally think

527
00:29:15,840 --> 00:29:18,080
Speaker 1: we should all be exposed to, for everyone to take

528
00:29:18,200 --> 00:29:20,960
Speaker 1: a step back and truly remember our humanity. I don't

529
00:29:20,960 --> 00:29:22,880
Speaker 1: have a question right now, but I'm excited to keep listening,

530
00:29:22,960 --> 00:29:25,840
Speaker 1: especially when you cover New Jersey. I'd highly recommend you

531
00:29:25,880 --> 00:29:28,920
Speaker 1: interviewing Congress and Jeff ran Drew some times represents South

532
00:29:29,040 --> 00:29:32,080
Speaker 1: Jersey that he was a Democrat became a Republican. Yes,

533
00:29:32,280 --> 00:29:35,120
Speaker 1: thank Emily, thank you so much for saying that. That's

534
00:29:35,200 --> 00:29:38,640
Speaker 1: really nice of you. I get very nervous talking about religion.

535
00:29:38,760 --> 00:29:41,400
Speaker 1: I don't like talking about it. It's just it's, you know,

536
00:29:41,560 --> 00:29:45,520
Speaker 1: so many people I so many people are preachy, and

537
00:29:45,560 --> 00:29:47,880
Speaker 1: I don't want to be I want to be relatable

538
00:29:47,920 --> 00:29:50,040
Speaker 1: the best I possibly can. I want to tell you

539
00:29:50,160 --> 00:29:53,840
Speaker 1: how I'm personally trying to get to a better place.

540
00:29:54,080 --> 00:29:56,760
Speaker 1: But what I'm doing is not what everyone should be doing.

541
00:29:56,800 --> 00:29:58,840
Speaker 1: And I, you know, if it's a journey, it's not

542
00:29:58,840 --> 00:30:00,800
Speaker 1: a guilt trip. I'm not trying to make you, you know,

543
00:30:00,920 --> 00:30:03,400
Speaker 1: do what I do or say what I say. I

544
00:30:03,400 --> 00:30:08,760
Speaker 1: hope that I can try through, you know, through trial

545
00:30:08,800 --> 00:30:11,720
Speaker 1: and error to learn to be an example for people

546
00:30:11,840 --> 00:30:13,560
Speaker 1: like that's especially people I have to deal with day

547
00:30:13,640 --> 00:30:15,160
Speaker 1: and day out. Like you know, I have a lot

548
00:30:15,200 --> 00:30:18,600
Speaker 1: of all my employees are men in their twenties, and

549
00:30:18,640 --> 00:30:21,040
Speaker 1: there's like eight of them now and eight or nine.

550
00:30:21,080 --> 00:30:24,000
Speaker 1: I forget on the samony, but I want to. I

551
00:30:24,080 --> 00:30:28,560
Speaker 1: think about this all the time because I think about

552
00:30:28,840 --> 00:30:31,920
Speaker 1: how I have to be an example even in a

553
00:30:31,960 --> 00:30:34,960
Speaker 1: workplace setting. Not only for just how you conduct yourself

554
00:30:35,000 --> 00:30:38,320
Speaker 1: as far as being professional goes, because I fail that,

555
00:30:38,520 --> 00:30:40,959
Speaker 1: you know more times than I succeed, but how to

556
00:30:41,160 --> 00:30:45,920
Speaker 1: be professional, to how to show ethics and how to

557
00:30:45,960 --> 00:30:48,560
Speaker 1: show ethics in what you do, and to work ethically.

558
00:30:49,480 --> 00:30:53,640
Speaker 1: There's a fashion designer named Brunello Cucinelli, and he makes

559
00:30:53,720 --> 00:30:57,400
Speaker 1: very expensive clothes, but he has brilliant videos about the

560
00:30:57,520 --> 00:31:01,600
Speaker 1: ethics of work and ethics of an employer. And I've

561
00:31:01,600 --> 00:31:04,800
Speaker 1: gotten a lot out of him saying that and what

562
00:31:04,920 --> 00:31:08,200
Speaker 1: he says and what he believes, and I try. He's

563
00:31:08,200 --> 00:31:12,960
Speaker 1: a very big example for me that I've tried to

564
00:31:13,400 --> 00:31:17,200
Speaker 1: repeat and tried to say, Okay, how do I provide

565
00:31:17,200 --> 00:31:20,800
Speaker 1: dignity to somebody that we are in a contract there

566
00:31:20,800 --> 00:31:23,240
Speaker 1: my employee. How do I make them feel like they

567
00:31:23,280 --> 00:31:27,040
Speaker 1: are respected and they are dignity and the dignity of

568
00:31:27,080 --> 00:31:30,640
Speaker 1: all people. It's very you know, esoteric and woo woo

569
00:31:30,640 --> 00:31:33,560
Speaker 1: and all the rest of it. But I think about

570
00:31:33,600 --> 00:31:35,480
Speaker 1: a lot, and I'm not perfect at it, but I

571
00:31:35,560 --> 00:31:39,280
Speaker 1: try and so I am using whatever little things I've

572
00:31:39,320 --> 00:31:42,680
Speaker 1: learned along the way as I approach thirty nine years

573
00:31:42,720 --> 00:31:45,280
Speaker 1: old that I can pass along and see if I

574
00:31:45,280 --> 00:31:46,880
Speaker 1: could do it. So thank you and Jeff Andrew. I

575
00:31:46,880 --> 00:31:49,440
Speaker 1: would love to have Jeff Andrew on. I think he's

576
00:31:49,480 --> 00:31:52,560
Speaker 1: a very interesting congressman. He's very popular in South Jersey,

577
00:31:53,760 --> 00:31:56,120
Speaker 1: and I think he's the only Republican who is like

578
00:31:56,160 --> 00:31:59,360
Speaker 1: one hundred percent nay rale, which is the pro abortion

579
00:32:00,560 --> 00:32:03,239
Speaker 1: nonprofits rating. I think that, you know, I think it's

580
00:32:03,240 --> 00:32:05,240
Speaker 1: an interesting guy. He was a Democrat for a long time.

581
00:32:05,240 --> 00:32:07,680
Speaker 1: I would love to talk to him. Okay, last question

582
00:32:07,720 --> 00:32:10,040
Speaker 1: for the episode, Ryan, Big Bangers Show. Been listening since

583
00:32:10,080 --> 00:32:12,320
Speaker 1: the beginning. First became aware of you through your page,

584
00:32:12,320 --> 00:32:16,800
Speaker 1: your joke on CNN and appearance on Claim Buck Great.

585
00:32:17,400 --> 00:32:20,600
Speaker 1: That's uh, just listen to your latest show, and you

586
00:32:20,640 --> 00:32:22,800
Speaker 1: talked about the books you've read, wanted to get your

587
00:32:22,800 --> 00:32:24,880
Speaker 1: take on Atlas Shrug and The fountain Head and how

588
00:32:25,040 --> 00:32:27,880
Speaker 1: prescient they are for our times. Atlas Shrug in particular,

589
00:32:27,880 --> 00:32:30,200
Speaker 1: I read Atlas Shrug and graduate school. I don't think

590
00:32:30,200 --> 00:32:32,640
Speaker 1: I've ever read or listened to anything more impactful or

591
00:32:32,680 --> 00:32:35,120
Speaker 1: clarifying in my mind for the differences we see today

592
00:32:35,160 --> 00:32:40,560
Speaker 1: between liberals, the moochers and conservatives, the producers. The kind regards, Ryan, Ryan,

593
00:32:40,720 --> 00:32:44,240
Speaker 1: thank you one amazing name. Two, thank you for listening.

594
00:32:44,680 --> 00:32:49,000
Speaker 1: I have never read Atlas Shrugged or The fountain Head,

595
00:32:49,520 --> 00:32:52,520
Speaker 1: and I have not read a lot of books I

596
00:32:52,560 --> 00:32:56,120
Speaker 1: should have. I was a horrible student in high school, horrible,

597
00:32:56,600 --> 00:33:01,920
Speaker 1: I cut class, I was always just was rebelling. And

598
00:33:01,960 --> 00:33:04,719
Speaker 1: then in college I kind of started picking up on reading.

599
00:33:04,880 --> 00:33:07,440
Speaker 1: But it wasn't even until after college I started trying

600
00:33:07,480 --> 00:33:09,920
Speaker 1: to become a reader. And everyone has always said to

601
00:33:09,960 --> 00:33:13,400
Speaker 1: me that I Ran was a terrible writer, like actually

602
00:33:13,520 --> 00:33:16,320
Speaker 1: as a talent, as being a writer, I don't know.

603
00:33:16,520 --> 00:33:18,840
Speaker 1: I've never read them, so I can't sit there and say, oh,

604
00:33:18,840 --> 00:33:20,960
Speaker 1: that was you know, she's a terrible writer or whatnot.

605
00:33:21,120 --> 00:33:23,640
Speaker 1: But everyone's always said skip it, don't bother reading it,

606
00:33:23,920 --> 00:33:25,760
Speaker 1: because there's nothing worse. When you're like, Okay, I'm going

607
00:33:25,800 --> 00:33:30,320
Speaker 1: to dedicate my time to reading an old classic, which involves,

608
00:33:30,440 --> 00:33:34,280
Speaker 1: you know, which a lot of contemporary fiction books, they

609
00:33:34,680 --> 00:33:37,520
Speaker 1: they're men for contemporary audiences, so they like grab you

610
00:33:37,560 --> 00:33:39,680
Speaker 1: when you're like, oh my gosh, this was an incredible

611
00:33:39,720 --> 00:33:42,400
Speaker 1: book from like the get go I read. I read

612
00:33:42,400 --> 00:33:46,400
Speaker 1: a few recently that I thought were incredible. Wait a second,

613
00:33:46,440 --> 00:33:48,680
Speaker 1: I'll tell you guys too. If you guys like fiction,

614
00:33:49,000 --> 00:33:51,360
Speaker 1: which I try really hard to sit there and spend

615
00:33:51,360 --> 00:33:53,920
Speaker 1: some time to read fiction, you know, because I think

616
00:33:53,920 --> 00:33:56,240
Speaker 1: it's good to change it up a little bit. The

617
00:33:56,360 --> 00:33:58,920
Speaker 1: two that I read I really like was The Great

618
00:33:59,000 --> 00:34:03,600
Speaker 1: Believers Becca Mackay. I thought that book was absolutely incredible

619
00:34:03,720 --> 00:34:06,480
Speaker 1: and gosh, now I'm blanking the other one. I will

620
00:34:06,520 --> 00:34:08,080
Speaker 1: come back on my next episode. I will tell you

621
00:34:08,120 --> 00:34:09,600
Speaker 1: guys the other book, the fiction book that I read

622
00:34:09,640 --> 00:34:11,600
Speaker 1: that I thought was really really good, Great Believe it

623
00:34:11,680 --> 00:34:13,439
Speaker 1: was just happened to be right here modern day take

624
00:34:13,480 --> 00:34:16,399
Speaker 1: on David Copperfield. It was I will get into you, guys,

625
00:34:16,480 --> 00:34:19,080
Speaker 1: I promise. I rarely should have prepaired for that answer anyway.

626
00:34:19,480 --> 00:34:23,600
Speaker 1: So their memphic typer audiences, they're very very good. Demon Copperhead,

627
00:34:23,880 --> 00:34:25,520
Speaker 1: that's the name of it. See, this show is not

628
00:34:25,560 --> 00:34:28,319
Speaker 1: always pre written. I mean Demon Copperhead, which I thought

629
00:34:28,360 --> 00:34:31,040
Speaker 1: was really really good, could have the last and then

630
00:34:31,040 --> 00:34:32,440
Speaker 1: could have been a little shorter. I thought it was

631
00:34:32,440 --> 00:34:34,000
Speaker 1: getting a little redundant at the end, but it was

632
00:34:34,000 --> 00:34:37,480
Speaker 1: a great book. So my point is is that if

633
00:34:37,520 --> 00:34:39,560
Speaker 1: you're going to spend the time to read a classic,

634
00:34:39,600 --> 00:34:41,200
Speaker 1: and you're going to read a C. S. Lewis, you're

635
00:34:41,239 --> 00:34:43,800
Speaker 1: going to read Mark Twain, You're going to read books

636
00:34:43,840 --> 00:34:47,640
Speaker 1: that are extremely brilliantly written, but they are written for

637
00:34:47,680 --> 00:34:49,279
Speaker 1: an audience at a certain time, and they take a

638
00:34:49,280 --> 00:34:51,000
Speaker 1: lot of energy to sit there and read it. You

639
00:34:51,040 --> 00:34:53,960
Speaker 1: wanted to at least be written very well. And everyone said,

640
00:34:53,960 --> 00:34:55,840
Speaker 1: always told me that iin Ram was not an actual

641
00:34:55,880 --> 00:34:58,200
Speaker 1: good writer, although the stories and the concepts were good.

642
00:34:58,640 --> 00:35:01,240
Speaker 1: I should get around to it. Try. I will try.

643
00:35:01,280 --> 00:35:03,680
Speaker 1: I promise. I have a bunch of books now on

644
00:35:03,719 --> 00:35:05,360
Speaker 1: my to do list is last year I was not

645
00:35:05,520 --> 00:35:08,640
Speaker 1: doing great. I'm reading a biography of William F. Buckley,

646
00:35:09,120 --> 00:35:12,160
Speaker 1: which decent. It's a decent book so far. I'm almost

647
00:35:12,200 --> 00:35:14,440
Speaker 1: done with it, but it's it's long, and I think

648
00:35:14,480 --> 00:35:16,560
Speaker 1: at some points a little uh you can tell that

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Speaker 1: the author is a bit of a liberal because there's

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Speaker 1: a lot of focus on how William F. Buckley lead

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Speaker 1: out race, which like, okay, it's not the sum of

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Speaker 1: his entire parts. Anyway, Thank you so much for listening

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Speaker 1: to this podcast. I really hope you enjoyed it. If

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Speaker 1: you want to learn more about the lawsuit, you can

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Speaker 1: go and check out our website. And if you like

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Speaker 1: more about this podcast, please like and subscribe to the

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Speaker 1: iHeartRadio app Apple podcast where every get your podcast. I

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Speaker 1: will talk to you guys next episode