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Speaker 1: With Salem Media because a man also not sleeping the.

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Speaker 2: Color and that guy would like a word with you.

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Speaker 2: Many of you know him from as books for Damas.

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Speaker 3: Of course, that Kevin Show is going to be great.

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Speaker 2: The only thing that could be greater, of course, would

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Speaker 2: be That Donald Show, but we don't have that.

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Speaker 4: So we have That Kevin.

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Speaker 1: Show, featuring the music of Dick Tunney and the Dream.

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Speaker 2: In Color Orchestra.

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Speaker 1: And straight ahead everything you need to know about the

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Speaker 1: top headlines of the day and a perspective that will

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Speaker 1: give you some eternity to it, plus practical tips for

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Speaker 1: family life, spiritual life, and good old regular life. It's

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Speaker 1: Kevin McCullough Monday through Friday on That Keavin Show and

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Speaker 1: now from the Connors in Sullivan Podcast Studios. A man

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Speaker 1: who is not what he wants to be, but is

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Speaker 1: way grateful that is not who he used to be.

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Speaker 5: Here all right, Welcome in friends, Calvin McCullough. Couldn't be

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Speaker 5: happier than to have you with us. We are so

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Speaker 5: thrilled that weekdays now from two to four live on

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Speaker 5: the East Coast out of New York City, and for

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Speaker 5: those of you that get it, live two to four

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Speaker 5: every weekday we are with you, and then of course

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Speaker 5: wherever we get you at, if it's in the evening,

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Speaker 5: in the later evening, if it's some other time podcast.

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Speaker 5: Salem Podcastnetwork dot com grateful to have you tagging along

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Speaker 5: for that Kevin Show where we try on a daily

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Speaker 5: basis to bring a little bit of common sense, a

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Speaker 5: little bit of clarity, a little bit of help for

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Speaker 5: the biggest issues that you face day.

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Speaker 2: In and day out in your life.

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Speaker 5: And we want to be a resource too that Kevinshow

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Speaker 5: dot com without a paywall, without anything else. I don't

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Speaker 5: want you to ever have to pay to get the podcast,

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Speaker 5: the columns, any of the stuff. I know that some

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Speaker 5: of my colleagues make a lot of money charging you

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Speaker 5: for everything, but I want you to have access to

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Speaker 5: the sheer truth, common sense and help that we are

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Speaker 5: here to offer. And I'm just grateful that you make

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Speaker 5: the choice to be with us and you continue to

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Speaker 5: tell your friends five hundred and five radio stations nationwide.

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Speaker 5: I couldn't be more humbled than to be with you

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Speaker 5: on those outlets across the country, including the affiliate of

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Speaker 5: the week I'm celebrating this week, AM eight sixty The

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Speaker 5: Answer out of San Francisco. Thank you for having us

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Speaker 5: on there weeknights ten to midnight. Appreciate being part of

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Speaker 5: your great lineup with the entire team there at Salem,

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Speaker 5: San Francisco on AM eight sixty The answer. I also

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Speaker 5: love being on AM five seventy the mission in New

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Speaker 5: York Love. We love our hometown as well. Speaking of which,

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Speaker 5: how do we live? Doctor Keith Crosby's going to continue

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Speaker 5: our discussion on Ephesians four twenty nine today in the

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Speaker 5: next segment, and then from there we'll get into a

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Speaker 5: variety of things that I think are very important for

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Speaker 5: us to contemplate. The controversy in Minneapolis hasn't gone away.

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Speaker 5: The circumstances that you know, the country is facing in

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Speaker 5: terms of this ability to have the press tell them

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Speaker 5: things that are true is getting worse. And I have

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Speaker 5: a brand new guest that's going to join us for

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Speaker 5: the first time from a group called media Pedia. And

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Speaker 5: it's actually a resource and I want you to be

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Speaker 5: able to use it. But if you are reading something

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Speaker 5: online and you go, you know, this seems to have

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Speaker 5: a little bit of bias to it, grab that URL,

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Speaker 5: go over to media Pedia, drop it into the system.

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Speaker 5: There and then see what the bias ranking is for

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Speaker 5: the news that you're reading, because that's what media pedia

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Speaker 5: is doing for you. It's it's figuring out the amount

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Speaker 5: of bias, and really, if you know it's not being

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Speaker 5: you know, transparently revealed by the author, you know this

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Speaker 5: is going to be a tool that's going to help

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Speaker 5: you determine the trustworthiness of what you're reading. But I

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Speaker 5: want to start with a piece of news that happened

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Speaker 5: just as we were getting off the air yesterday, and

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Speaker 5: that is this President Trump announced he's going to cut

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Speaker 5: off funding to sanctuary cities. And I say absolutely, and

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Speaker 5: it's not a moment too soon, because what we're seeing

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Speaker 5: across jurisdictions that just openly shield criminality is not compassion,

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Speaker 5: it's not humanitarian, and it's certainly not sound governance. When

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Speaker 5: when cities decide to be sanctuary cities, they are deciding

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Speaker 5: to be lawlessness masquerading as activism. And I believe that

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Speaker 5: the consequences at that point stop being theoretical. They are measurable,

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Speaker 5: They are deadly, and they are devastating to the American family.

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Speaker 5: Sanctuary cities have basically declared themselves exempt from federal immigration law.

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Speaker 5: They proudly refuse to cooperate with ice. They released criminal

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Speaker 5: aliens back into the communities, and as we've seen in Minneapolis,

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Speaker 5: they ain't nice people. The people they've let loose, rapist, murderers,

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Speaker 5: child sodomizers. These cities posture morally, trying to be, you know,

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Speaker 5: the greater good, while simultaneously tying the hands of law enforcement.

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Speaker 5: And then they demand, this is the really insidious part.

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Speaker 5: They turn around and demand billions of dollars from the Feds,

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Speaker 5: from the very taxpayers that they are endangering by the

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Speaker 5: defiance of the federal law. And friends, that contradiction cannot continue.

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Speaker 5: So the presidents moved to cut off federal funding to

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Speaker 5: sanctuary cities and states. I don't think it's punitive. I

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Speaker 5: think it's corrective. It is accountability. If you refuse to

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Speaker 5: enforce federal law, you should not get federal money. How

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Speaker 5: is this difficult? That principle is not radical, it's not cruel,

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Speaker 5: it's common sense. Let me just give you us a

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Speaker 5: few examples. Trend to Agua, the Venezuelan criminal gang. You

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Speaker 5: remember last year when they were taking over high rise

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Speaker 5: apartment buildings in Colorado, Whole complexes it's a foreign criminal

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Speaker 5: gang taking control of American property. It's insane how they

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Speaker 5: view this. Criminal organizations seeking out sanctuary jurisdictions for one reason.

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Speaker 5: They know they're going to be safe there. They know

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Speaker 5: they're going to be given haven. Criminals know that the

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Speaker 5: police are forbidden from cooperating with the federal authorities, and

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Speaker 5: they know that the detainers will be ignored. They know

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Speaker 5: that the political leaders will side with their ideology over

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Speaker 5: enforcement of their removal. Sanctuary cities didn't stumble into this problem.

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Speaker 5: They engineered it, and it goes beyond the gangs. Fentonyl epidemic,

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Speaker 5: which is poisoned and killed hundreds of thousands of Americans,

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Speaker 5: is inseparable from this issue Sanctuary city policies. Traffickers exploit

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Speaker 5: porous systems, and sanctuary cities are one huge porous opening.

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Speaker 5: Sanctuary jurisdictions become distribution quarters. We'll just zip some over

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Speaker 5: to here. It'll be fine because nobody's going to pay

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Speaker 5: attention to them. Local leaders deny responsibility, and meanwhile families

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Speaker 5: just bury their kids. That's the cost friends of this

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Speaker 5: activism that so many leftists are embracing.

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Speaker 4: Then you've got.

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Speaker 5: Politicians who champion these policies, and they're portraying themselves as

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Speaker 5: defenders of immigrants. Well, emergency services are overwhelmed, crime spikes,

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Speaker 5: school strain under the population surges, housing collapses. The same

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Speaker 5: officials then demand more federal money, more money extracted from

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Speaker 5: communities that obey the law. And let's be clear about

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Speaker 5: what this is not. This is not about targeting people

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Speaker 5: based on race or nationality or cruelty. It is not

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Speaker 5: about mass round ups or hysteria. It's about enforcing the law,

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Speaker 5: particularly against aliens who commit crimes, and the need to

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Speaker 5: restore cooperation between local and federal authority. That's all the

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Speaker 5: president's trying to do. Sanctuary policies do the opposite. They

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Speaker 5: elevate ideology over safety. They instruct police departments to ignore

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Speaker 5: the law, They substitute political theater for public protection, and

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Speaker 5: when the predictable results occur, violence, drugs, exploitation, the same

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Speaker 5: leaders blame everyone but themselves. And we've seen where that

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Speaker 5: activism leads. It's reckless, it inflames tensions, it encourages confrontation.

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Speaker 5: The Renee Good tragic shooting is a result because Minneapolis

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Speaker 5: is a sanctuary city and they were harboring these rapists, murderers,

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Speaker 5: and child sodomizers, and in some cases deadly. The federal

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Speaker 5: government has the authority, but also the obligation to say

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Speaker 5: no more. Federal funding is leverage, and it should be used.

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Speaker 5: Taxpayer dollars should support cooperation, not sabotage. They should reinforce

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Speaker 5: public safety, not underwrite defiance. Cities and states that want

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Speaker 5: federal money should meet federal standards. That's how governance works. Now,

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Speaker 5: the left's going to screen lawsuits are going to fly.

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Speaker 5: Sanctuary leaders will insist that they are the victims here.

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Speaker 5: But the American people are no longer fooled by this.

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Speaker 5: They know what's what. They see the results in crime statistics,

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Speaker 5: overdose deaths, overwhelmed hospitals, destabilized neighborhoods. Sanctuary cities made a choice.

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Speaker 5: President Trump is simply responding to it. If you want

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Speaker 5: to ignore federal law, do so without federal funding, short

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Speaker 5: and sweet. You want to shield criminals, do it without

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Speaker 5: taxpayers paying for it. You want to posture politically, stop

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Speaker 5: sending the bill to Washington. This moment demands resolve, not retreat,

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Speaker 5: And mister President, you are right to draw the line.

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Speaker 5: Cut them off and the corruption and the defiance. Restore

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Speaker 5: the rule of law and put Americans safety back where

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Speaker 5: it belongs first and foremost. Kevin McCullough, how do we live?

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Speaker 4: Next? Here?

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Speaker 6: He is from New York that Kevin. Kevin McCullough.

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Speaker 2: All right, welcome. It is the Wednesday edition.

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Speaker 5: And as we continue to make our way through the week,

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Speaker 5: we continue at this time every day to ask the

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Speaker 5: same question, which is, how do we live? How do

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Speaker 5: we live in a culture that despises God, disdains his word,

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Speaker 5: and looks at people that want to obey him, want

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Speaker 5: to follow his guidance as some sort of strange, other

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Speaker 5: worldly creature. That is the context that the church lives

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Speaker 5: in in North America today and in some parts around

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Speaker 5: the world, and we're asking the question, how do we

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Speaker 5: live in light of that? That's the context, that's the

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Speaker 5: playing field. How do we live? Regardless? Doctor Keith Crosby

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Speaker 5: is back with us. He's senior pastor at Hillside Church

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Speaker 5: in San Jose, And we appreciate so much the week

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Speaker 5: that you've given us already, Doctor Cosby, because what we're

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Speaker 5: talking about here is an amazing deep dive in a

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Speaker 5: little bit of something that we may not always share

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Speaker 5: if ourselves so carefully on when I think of the

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Speaker 5: term unwholesome talk or corrupting talk, it comes in a

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Speaker 5: lot of different packages. And we've been unpacking this verse

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Speaker 5: Ephesians four twenty nine very carefully. But Keith, let's let's

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Speaker 5: let's delve back in, because there's another phrase here that

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Speaker 5: you want to bring our attention to.

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Speaker 3: Yeah, yeah, it's that you know, only such a word

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Speaker 3: that fits the occasion, and the New American standard translation

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Speaker 3: renders it.

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Speaker 4: According to the need of the moment.

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Speaker 3: And a lot of times we weigh in on something

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Speaker 3: as a Christian, we play into a cultural stereotype. We

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Speaker 3: come across as holier than thou. We fail to read

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Speaker 3: the room, we fail to read the situation, we fail

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Speaker 3: to read.

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Speaker 4: The person, and we sort of spout off.

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Speaker 3: And so we have to be very careful because we

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Speaker 3: represent Jesus Christ. And that's why I think in Proverbs

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Speaker 3: it says and has joy in an apt answer, how

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Speaker 3: good is a word spoken at the right time?

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Speaker 5: Well, you know, I think you're exactly right. And I

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Speaker 5: think one of the reasons because we we set this

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Speaker 5: up in the context is as to why the world

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Speaker 5: looks at us kind of cross eyed. Obviously, we have

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Speaker 5: a contrasting message to what the world offers. So that

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Speaker 5: is kind of like the like they're gonna they're going

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Speaker 5: to probably on some level rebuff that anyway. But then

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Speaker 5: if we do it with an within you know, an

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Speaker 5: ill timed word or an ill timed reaction, then we

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Speaker 5: we kind of push that non believer, that person that

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Speaker 5: we're trying to have influence with, we kind of end

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Speaker 5: up pushing them a little bit further away.

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Speaker 3: Well, that's true, and that's why we have to be

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Speaker 3: other oriented, and that's what we're supposed to be as

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Speaker 3: Christians anyway. You know, Paul talks about in Philippians to

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Speaker 3: consider other people more important than yourselves, not to look

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Speaker 3: out for your own interest with the interest of others.

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Speaker 3: And I think sometimes too, that's why the old saying

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Speaker 3: God gave us two ears in one mouth. You know,

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Speaker 3: we have to listen, we have to read the room,

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Speaker 3: you know. And it applies to coming home.

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Speaker 2: At the end of the day.

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Speaker 3: And when my wife had small children and I needed

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Speaker 3: to determine how she was doing, but she hadn't had

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Speaker 3: an adult conversation all day, and then here I come

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Speaker 3: home talking about work or something and not thinking about her.

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Speaker 3: And you know it says it's the elsewhere in proverbs,

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Speaker 3: even a fool scenes wise until he speaks. And so

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Speaker 3: these are the things that really serve us in every

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Speaker 3: aspect of our lives, whether we're dealing with an employer

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Speaker 3: who's not really happy and we want to ask him

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Speaker 3: a question and we should wait.

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Speaker 5: The interesting thing about this here is that I think

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Speaker 5: that there's a lot to take away regardless of your

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Speaker 5: communications style. I think that people that speak a lot

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Speaker 5: can learn something from this. You know, this little phrase.

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Speaker 5: I think those that don't speak up can also learn

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Speaker 5: something from this, because it really is I love the

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Speaker 5: phrase that you're using reading the room. I have three different,

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Speaker 5: very personalitied children. My oldest is my science math Latin nerd.

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Speaker 5: He loves all things technical and precise and very very exacting.

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Speaker 5: My baby is my performing artist daughter. She sings, she

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Speaker 5: takes ballet, she's very much into the essence of what

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Speaker 5: the arts are about. And my little guy in the middle,

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Speaker 5: he's my narrative. He's my Steven Spielberg. He wants to

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Speaker 5: make movies and comic books and write stories, and he's

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Speaker 5: always thinking and the three of them when they are together,

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Speaker 5: it is really really kind of remarkable because they have

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Speaker 5: very different opinions about who should speak, about how much

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Speaker 5: they should go on, and the oldest and the youngest

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Speaker 5: sometimes don't like the fact that the middle one just

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Speaker 5: seems to always be full of words and willing to talk.

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Speaker 5: And so we're working on how to read the room

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Speaker 5: and how to understand, you know, what I'm saying and

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Speaker 5: how it comes off. And sometimes my oldest may not

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Speaker 5: speak at all until he's had enough, and then it's

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Speaker 5: kind of over the top. He's like, that's it, We're

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Speaker 5: shutting it down, no more talk.

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Speaker 2: We need to.

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Speaker 5: Be you said, others focused. If we care about others,

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Speaker 5: we are going to be kind of constantly seeking how

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Speaker 5: do I best connect with them? How do I best

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Speaker 5: touch them with this word? How do I best do that?

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Speaker 5: And that requires a little bit of study of people,

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Speaker 5: doesn't it?

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Speaker 6: It?

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Speaker 4: Does it? Does you know?

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Speaker 3: When Jesus was dealing with people, unless he was dealing

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Speaker 3: with the Pharisees, who are you know, trying to trap

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Speaker 3: him or something, he consistently asked questions of others, and

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Speaker 3: people appreciate that you show concern for them. And that's

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Speaker 3: part of reading the room, or even just saying the

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Speaker 3: magic words. Is now a good time?

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Speaker 5: Well, you're making me think about a lot of personal

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Speaker 5: things because I was a lot like my middle child.

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Speaker 5: I was the kid that ran off at the mouth.

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Speaker 5: In fact, my aunt once said to me after she

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Speaker 5: was done babysitting me one night when my parents had

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Speaker 5: been out.

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Speaker 2: My mom's sister, and.

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Speaker 5: I can kid her about this to this day, but

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Speaker 5: she said she looked at me one day and she said, Kevin,

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Speaker 5: if you make a living with your mouth, you will

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Speaker 5: never go hungry. And I've you know, that was it.

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Speaker 5: I always got marked down for talking in class and

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Speaker 5: doing that. So the controlling of speech is really something

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Speaker 5: that I've wanted to craft and do better at as

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Speaker 5: time has gone by. And I hope that in my

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Speaker 5: senile old age that I'm getting to the point where

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Speaker 5: I'm you know, less abrasive and more winsome. But how

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Speaker 5: important is it, doctor Crosby, for us to think about

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Speaker 5: how connected our speech is to our witness You keep

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Speaker 5: coming back to this word, and you used it every

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Speaker 5: day of surveillance. We are being watched, and we're being

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Speaker 5: watched not necessarily like an a nefarious way like the

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Speaker 5: CIA on a spy, but certainly in a very kind

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Speaker 5: of judgmental way. They want to see does the Christian

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Speaker 5: live up to what they profess.

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Speaker 3: Well, that said, everything we do, in one way or another,

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Speaker 3: accidentally or on purpose, bears witness to Christ.

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Speaker 4: And they want to.

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Speaker 3: See that we mean what we say, and what we

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Speaker 3: say it means what we say it means. And everybody

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Speaker 3: hates a hypocrite. The world hates a hypocrite. The Christians

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Speaker 3: don't like hypocrisy, and so people are watching, and people

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Speaker 3: are watching wanting to know. This is going to sound

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Speaker 3: kind of dramatic, but one of the people that I've

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Speaker 3: led to Christ in my life, I've spent twenty years

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Speaker 3: managing hotels on the east coast of Hilton Head and

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Speaker 3: places like that, and I had somebody who was like

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Speaker 3: my rival in the workplace. And at the end of

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Speaker 3: three years, they came to me and I was able

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Speaker 3: to lead them to Christ. They saw that, by God's grace,

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Speaker 3: you know, the fruits of the spirit, peaceful of joy, kindness,

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Speaker 3: self control, I was sincere And then after they had

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Speaker 3: prayed to receive Christ, they told me that they were

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Speaker 3: headed on to commit suicide that day, but they stopped

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Speaker 3: by my office instead. So you never know who's watching.

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Speaker 3: You never know how God is going to use you.

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Speaker 3: He has raised you up for such a time as this,

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Speaker 3: in this era, in this workplace, in this life.

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Speaker 5: Well, I want to drill down on that for just

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Speaker 5: a second, because in those three years, I doubt you

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Speaker 5: had only been the silent, living it out type. Had

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Speaker 5: you had opportunity to offer a word here or there

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Speaker 5: at times over those three years.

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Speaker 3: I had, and I have to say I never did

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Speaker 3: it perfectly. But the body of work, if you want

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Speaker 3: to call it that, the body of witness, was one

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Speaker 3: of sincerity, you know, And so I had opportunities to witness.

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Speaker 3: That wasn't an era where the laws were changing. Even

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Speaker 3: during that era, I was almost had a complaint filed

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Speaker 3: against me because I shared the Gospel with somebody and

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Speaker 3: they went to hr you know. So it is according

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Speaker 3: to the need of the moment.

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Speaker 2: Timing is everything.

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Speaker 3: But in the end, you know, God used all that,

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Speaker 3: you know, as I tried to live out my faith

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Speaker 3: in a sincere way.

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Speaker 5: Well, I think that that's a really good word for today.

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Speaker 2: Friend.

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Speaker 5: We're looking at Ephesians four twenty nine and we've drilled

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Speaker 5: down on this. Tomorrow we will take another peek at

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Speaker 5: this and talk about some practical application come Friday. But

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Speaker 5: doctor Keith Crosby, senior pastor at Hillside Church, you can,

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Speaker 5: by the way, find out more information at Hillside dot org.

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Speaker 6: Here he is from New York. That n Kevin McCulloch.

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Speaker 2: So glad to have you with us. Thank you for

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Speaker 2: being here.

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Speaker 5: You want anything related to the show podcast over at

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Speaker 5: salempodcastnetwork dot com, but you can also just get it

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Speaker 5: at that kevinshow dot com where.

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Speaker 2: We've got the column.

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Speaker 5: I've got a peace out today actually up at town hall.

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Speaker 5: It's uh Waltz and Frey from Minnesota. As I referred

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Speaker 5: in the in the opening, Uh, we choose violence, and

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Speaker 5: they did. They They came out and said yesterday get

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Speaker 5: out of our state, get out of the no no,

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Speaker 5: no no, saying maybe we should be doing something differently,

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Speaker 5: like obeying law enforcement. They said, they said, get out,

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Speaker 5: it's your problem, it's the law enforce I contend that

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Speaker 5: only works for a little while. You're gonna you're gonna

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Speaker 5: rue the day that you told people to ignore law enforcement.

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Speaker 5: Tends things tend to get worse when you justify ignoring

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Speaker 5: what law enforce if they're if they're giving you lawful orders.

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Speaker 5: I'm not saying do something that's illegal.

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Speaker 2: But if they say stop the car, you stop the car,

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Speaker 2: get out of the car.

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Speaker 4: Get out of the car.

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Speaker 2: You won't end up dead.

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Speaker 5: You try to run someone over, they may shoot you.

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Speaker 5: That's the way it works anyway. For much of the

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Speaker 5: rest of the show today, we're gonna return to this

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Speaker 5: very important issue that I also mentioned in the open.

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Speaker 5: But I feel so strongly about this, and I have

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Speaker 5: since I was like six years old. The first time

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Speaker 5: my parents took me to a political event of any kind,

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Speaker 5: and I blurted out to the people that were arguing

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Speaker 5: about it, don't be stupid, save the babies. Now, this

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Speaker 5: was nineteen seventy six, tensions ran high.

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Speaker 2: I was a kid.

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Speaker 5: It just spoke what came to mind. But I still

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Speaker 5: feel that way. But I know that it's a lot

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Speaker 5: more complex than that sometimes, And that's why I'm thankful

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Speaker 5: for Preborn, because they couple the initiative to try to

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Speaker 5: save unborn children with sharing of the gospel to women

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Speaker 5: who are in crisis, and the results are just incredible.

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Speaker 5: Scott Wilder's back with us from Preborn. In fact, Scott,

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Speaker 5: one of my favorite statistics that you bring to the

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Speaker 5: show each year is the number of people that get saved.

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Speaker 2: Through the work of Preborn.

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Speaker 5: We don't think of pre everyone is being an evangelistic ministry,

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Speaker 5: and yet there's hundreds every year that find Jesus because

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Speaker 5: of this.

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Speaker 4: Yeah, actually thousands. I mean if you look at the

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Speaker 4: actual numbers, and we're still ciphering calculating the numbers for

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Speaker 4: last calendar year twenty twenty five, but if I look

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Speaker 4: at the last twelve months that we have secured, I

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Speaker 4: can tell you the numbers the baby saved over twelve months,

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Speaker 4: sixty seven thousand, Wow, five hundred and fifty six sixty

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Speaker 4: seven thousand, five hundred and fifty six babies lives saved.

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Speaker 4: That is more than more than a thousand a week,

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Speaker 4: of course.

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Speaker 5: Yeah.

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Speaker 4: And then commitments to Christ first time commitments to Christ

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Speaker 4: for that calendar year, twelve month period eighty nine hundred

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Speaker 4: sixty Wow, eight thousand, nine hundred sixty three. I don't

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Speaker 4: know what that ends up being per week, but it's.

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Speaker 5: About it's a lot, it's a ton. Well, and think

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Speaker 5: about this, friends, those are you listening. If you've got

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Speaker 5: a major league football stadium in your area, you pro

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Speaker 5: that stadium will probably see sixty to eighty thousand people. Yeah,

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Speaker 5: that stadium will be full thirty years from now from

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Speaker 5: the babies that we saved last year.

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Speaker 4: Yeah, just one year. Yeah, I think about it. It's amazing.

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Speaker 4: So when you think about the baby saved, the souls saved,

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Speaker 4: the moms saved, the dads saved. And we'll talk a

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Speaker 4: little bit more about that. Some things I've found that

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Speaker 4: are recent center that I visited, a pre born center.

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Speaker 4: You can make a huge difference today just by giving

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Speaker 4: the ultrasound. Give the ultrasound and don't worry about the rest.

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Speaker 4: And honestly, it's not because I'm lazy, though it might be,

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Speaker 4: it's not that I'm lazy. I don't want to be

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Speaker 4: on the hook. I don't feel I don't feel certified.

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Speaker 4: I'm not qualified to do so many different things. And

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Speaker 4: you talked about the simplicity of all when you're a

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Speaker 4: kid and the fact that you life is kind of complicated.

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Speaker 4: It gets complicated. Life happens, and I get that. However,

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Speaker 4: you know what really when it gets really simple, really quickly,

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Speaker 4: is when you see the baby and hear the baby's

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Speaker 4: heart beat. The one thing that becomes really simple, really quick,

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Speaker 4: is that is a baby. That's it. So that part

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Speaker 4: is really simple. And then that changes everything, because what

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Speaker 4: would I do if it's not a baby. I might

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Speaker 4: do this, I might do that. I might have it,

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Speaker 4: I might not, I might keep it, i might put

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Speaker 4: it up for adoption. I'll wait until it really becomes

435
00:24:41,280 --> 00:24:43,760
Speaker 4: a baby, and then I'll decide. But it's right now,

436
00:24:44,280 --> 00:24:47,040
Speaker 4: it's not a baby. It's just a clump of sales.

437
00:24:48,280 --> 00:24:50,400
Speaker 4: That's right. So what I mean so, but of course

438
00:24:50,480 --> 00:24:53,600
Speaker 4: that's not true. Once they hear their baby's heart beat

439
00:24:53,960 --> 00:24:57,920
Speaker 4: and see the baby, now we have a starting point

440
00:24:58,160 --> 00:25:02,000
Speaker 4: and it is perfectly clear, and it's rather simple. Is

441
00:25:02,040 --> 00:25:05,480
Speaker 4: it a baby or is it not? And they know

442
00:25:05,520 --> 00:25:07,200
Speaker 4: that it's a baby. And what I mean to say is,

443
00:25:07,240 --> 00:25:10,399
Speaker 4: I'm a folk qualified, I'm not a doctor. I don't know,

444
00:25:10,440 --> 00:25:12,840
Speaker 4: and I'm a guy. So sometimes you think, well, you

445
00:25:12,880 --> 00:25:16,640
Speaker 4: know women who are pregnant and it's unplanned. I mean,

446
00:25:17,119 --> 00:25:19,959
Speaker 4: obviously somebody else was involved in that. Maybe that person

447
00:25:20,760 --> 00:25:23,440
Speaker 4: is not really interested in participating. Why would you listen

448
00:25:23,480 --> 00:25:26,520
Speaker 4: to another guy about what I think? You know? It

449
00:25:26,560 --> 00:25:29,760
Speaker 4: should be. But that's the thing. You just give the ultrasound.

450
00:25:30,600 --> 00:25:33,040
Speaker 4: That's it. Yeah, but you know you're not convincing anybody

451
00:25:33,080 --> 00:25:35,000
Speaker 4: of anything. You just give her the truth, and then

452
00:25:35,000 --> 00:25:37,199
Speaker 4: the truth is gonna take her, take her where it

453
00:25:37,240 --> 00:25:37,640
Speaker 4: takes her.

454
00:25:37,720 --> 00:25:41,040
Speaker 5: You could almost do the ultrasound, give her the picture

455
00:25:41,119 --> 00:25:44,720
Speaker 5: in the little three D video and leave the room

456
00:25:44,760 --> 00:25:47,320
Speaker 5: for ten minutes and not say a word and come

457
00:25:47,359 --> 00:25:49,960
Speaker 5: back and probably have the same type of response that

458
00:25:50,000 --> 00:25:53,880
Speaker 5: people are getting, because there's something about being confronted with

459
00:25:54,240 --> 00:25:57,920
Speaker 5: truth in a you know, a loving way, a gentle way,

460
00:25:58,000 --> 00:26:00,440
Speaker 5: but a way that is kind of unrelenting in terms

461
00:26:00,480 --> 00:26:03,400
Speaker 5: of not not giving you any wiggle room on the backside. Yeah,

462
00:26:03,440 --> 00:26:05,639
Speaker 5: it is a baby, it's not we're not we're not

463
00:26:05,680 --> 00:26:07,960
Speaker 5: being mean. But look look at this picture. This this

464
00:26:08,000 --> 00:26:10,119
Speaker 5: is gonna be a human that's gonna grow up and

465
00:26:10,359 --> 00:26:13,640
Speaker 5: resemble you, resemble you in some way. They may even

466
00:26:13,760 --> 00:26:15,760
Speaker 5: kind of look like you you as you grow up.

467
00:26:15,840 --> 00:26:18,760
Speaker 5: I mean, it's it's one of those things where you're right,

468
00:26:18,800 --> 00:26:22,199
Speaker 5: the clarity sets in almost immediately and there's not a

469
00:26:22,240 --> 00:26:26,440
Speaker 5: lot of other work. But friends that ultrasound preborn can

470
00:26:26,480 --> 00:26:30,120
Speaker 5: bank for twenty eight dollars and for twenty eight dollars

471
00:26:30,200 --> 00:26:33,120
Speaker 5: you could save a baby's life eight three three eight

472
00:26:33,160 --> 00:26:35,359
Speaker 5: five zero b a b y eight three three eight

473
00:26:35,480 --> 00:26:38,720
Speaker 5: five zero two two two nine, or that kevinshow dot com.

474
00:26:38,760 --> 00:26:40,840
Speaker 5: Please go and save a baby right now.

475
00:26:40,880 --> 00:26:59,640
Speaker 7: Stay with us here he is from New York.

476
00:27:00,520 --> 00:27:03,520
Speaker 6: That Kevin McCullough.

477
00:27:04,280 --> 00:27:07,520
Speaker 5: Welcome back to Times Square, Kevin McCullough, that Kevin Show

478
00:27:07,880 --> 00:27:10,480
Speaker 5: on the Salem Radio Network and Salem News Channel.

479
00:27:10,520 --> 00:27:11,360
Speaker 2: Always glad to have.

480
00:27:11,359 --> 00:27:11,800
Speaker 4: You with us.

481
00:27:12,400 --> 00:27:15,600
Speaker 5: You may remember last week, after the initial reports of

482
00:27:15,640 --> 00:27:20,000
Speaker 5: the Minneapolis shooting were published by the media, there were

483
00:27:20,000 --> 00:27:22,280
Speaker 5: a lot of us saying, I don't know. I think

484
00:27:22,320 --> 00:27:24,480
Speaker 5: they're kind of like only telling one side of the

485
00:27:24,520 --> 00:27:27,240
Speaker 5: story there. And no one felt that more than Vice

486
00:27:27,280 --> 00:27:30,560
Speaker 5: President jd. Vance, who then went to the White House

487
00:27:30,640 --> 00:27:35,600
Speaker 5: Press Conference and unleashed his feelings on the American media,

488
00:27:35,640 --> 00:27:37,440
Speaker 5: the White House Press correspondence at least.

489
00:27:38,000 --> 00:27:39,480
Speaker 2: But what does it all add up to?

490
00:27:39,760 --> 00:27:41,879
Speaker 5: And are we getting the straight story even as the

491
00:27:41,920 --> 00:27:46,600
Speaker 5: story continues to develop. Christine Schernizesski is with us from

492
00:27:46,720 --> 00:27:51,680
Speaker 5: Mediapedia dot org. It's a media watchdog group. Christine, first

493
00:27:51,680 --> 00:27:53,520
Speaker 5: time to be with us. Thank you for being here

494
00:27:53,680 --> 00:27:56,119
Speaker 5: and I'm going to ask you about your group and

495
00:27:56,160 --> 00:27:58,080
Speaker 5: what you guys do in just a second, but your

496
00:27:58,119 --> 00:28:03,320
Speaker 5: reaction to how the entire Minnesota episode has gone down

497
00:28:03,359 --> 00:28:05,119
Speaker 5: and how the media are responding to it.

498
00:28:05,400 --> 00:28:08,760
Speaker 8: This episode is a perfect example of why Americans don't

499
00:28:08,760 --> 00:28:16,160
Speaker 8: trust news. They see that the media immediately portrayed Renee

500
00:28:16,200 --> 00:28:20,639
Speaker 8: Good as the victim and the ice officer as the villain,

501
00:28:21,040 --> 00:28:24,440
Speaker 8: and they kind of worked backwards to support that narrative.

502
00:28:25,600 --> 00:28:30,760
Speaker 8: And once other media started to share some information about

503
00:28:30,800 --> 00:28:33,760
Speaker 8: what Renee Good was actually doing, there you got to

504
00:28:33,800 --> 00:28:36,400
Speaker 8: see the full picture. But because it was the legacy

505
00:28:36,480 --> 00:28:39,560
Speaker 8: media that started out with this portrayal of her as just,

506
00:28:39,880 --> 00:28:42,560
Speaker 8: you know, an innocent bystander who was trying to do

507
00:28:42,720 --> 00:28:45,080
Speaker 8: good or was in the wrong place at the wrong time,

508
00:28:46,680 --> 00:28:51,080
Speaker 8: they created a sense of distrust among the American public.

509
00:28:51,240 --> 00:28:53,920
Speaker 8: And so this is in fact why we have started

510
00:28:54,000 --> 00:28:58,920
Speaker 8: media Pedia, to give people information about the news that

511
00:28:58,920 --> 00:29:01,360
Speaker 8: they are seeing and hold journalists accountable.

512
00:29:02,080 --> 00:29:05,920
Speaker 5: How often in the work that you do, have you

513
00:29:07,040 --> 00:29:11,080
Speaker 5: noticed trends that trend like this, Because I think what

514
00:29:11,200 --> 00:29:15,960
Speaker 5: happened in Minneapolis was very simple. The media establishment and

515
00:29:16,040 --> 00:29:20,360
Speaker 5: the Democratic left and the activists that are opposing Ice.

516
00:29:20,400 --> 00:29:24,360
Speaker 5: They kind of all see this issue of Ice enforcing

517
00:29:24,640 --> 00:29:27,800
Speaker 5: immigration laws as being in some way not what they

518
00:29:27,840 --> 00:29:31,840
Speaker 5: would prefer to have, and so they've kind of banded

519
00:29:31,840 --> 00:29:35,520
Speaker 5: together and they all immediately started telling the same story,

520
00:29:35,880 --> 00:29:39,440
Speaker 5: kind of divorcing it of any facts or reality, because

521
00:29:39,440 --> 00:29:41,400
Speaker 5: I think that there was this idea that if they

522
00:29:41,400 --> 00:29:43,680
Speaker 5: could spin it a certain way, maybe they could influence

523
00:29:43,680 --> 00:29:46,400
Speaker 5: the American people to see it a certain way. And

524
00:29:46,480 --> 00:29:50,240
Speaker 5: I guess maybe we the schlubs across the country are

525
00:29:50,240 --> 00:29:52,680
Speaker 5: getting better at being a little more discerning because it

526
00:29:53,320 --> 00:29:56,080
Speaker 5: certainly didn't sweep the country as a majority viewpoint, and

527
00:29:56,400 --> 00:29:58,640
Speaker 5: now I would say, depending on who you ask, you

528
00:29:58,680 --> 00:30:01,560
Speaker 5: have a very divided view over how that incident went

529
00:30:01,600 --> 00:30:03,480
Speaker 5: down and what the response was and what the next

530
00:30:03,480 --> 00:30:04,160
Speaker 5: steps should be.

531
00:30:04,360 --> 00:30:07,120
Speaker 8: Well, this is a case of the legacy media acting

532
00:30:07,640 --> 00:30:14,040
Speaker 8: not as sort of the referees of journalism. They're activist journalists,

533
00:30:14,080 --> 00:30:18,240
Speaker 8: which is different. They're not, in fact, presiding both sides

534
00:30:18,240 --> 00:30:22,160
Speaker 8: of the story accurately. They're not painting an accurate picture

535
00:30:22,240 --> 00:30:25,560
Speaker 8: of the situation or of what good was doing there,

536
00:30:25,880 --> 00:30:28,760
Speaker 8: and so it creates this aura of mistrust, and it

537
00:30:28,840 --> 00:30:34,320
Speaker 8: forces people to go to alternative sources or to you know,

538
00:30:34,480 --> 00:30:38,600
Speaker 8: podcasters or the Internet to find out other details. And

539
00:30:38,680 --> 00:30:42,000
Speaker 8: so again you know, at media Pedia we are keeping

540
00:30:42,040 --> 00:30:44,400
Speaker 8: track of stories like this. It is in fact why

541
00:30:44,480 --> 00:30:48,000
Speaker 8: we were founded. But this was not an isolated incident.

542
00:30:48,040 --> 00:30:51,160
Speaker 8: As I said, this is exactly why there's a lack

543
00:30:51,200 --> 00:30:52,160
Speaker 8: of trust in the media.

544
00:30:52,360 --> 00:30:54,479
Speaker 2: Talk to me about how prevalent the problem is.

545
00:30:54,840 --> 00:30:57,600
Speaker 8: Oh, I think in any major story you can absolutely

546
00:30:57,600 --> 00:31:02,360
Speaker 8: find bias coming out of EP, Washington Post, New York Times.

547
00:31:02,800 --> 00:31:06,200
Speaker 8: And bias in and of itself isn't the problem as

548
00:31:06,240 --> 00:31:10,040
Speaker 8: long as you're transparent about it, right, But when you're pretend,

549
00:31:10,120 --> 00:31:12,920
Speaker 8: when you're acting as if you have no bias, you're

550
00:31:12,960 --> 00:31:16,640
Speaker 8: reporting objectively, that's when it becomes dangerous and that's where

551
00:31:16,640 --> 00:31:17,840
Speaker 8: the lack of trust occurs.

552
00:31:18,080 --> 00:31:21,720
Speaker 5: I don't mind bias, it's this pretend game that we

553
00:31:21,960 --> 00:31:25,280
Speaker 5: that we all play, that we're being truly objective about things.

554
00:31:25,640 --> 00:31:27,760
Speaker 2: I don't mind it. I just want to know where

555
00:31:27,760 --> 00:31:28,080
Speaker 2: it is.

556
00:31:28,440 --> 00:31:30,480
Speaker 8: Absolutely. That's what we're trying to call out is the

557
00:31:31,080 --> 00:31:35,200
Speaker 8: lack of transparency totally. Right in the eighteen hundreds, you

558
00:31:35,240 --> 00:31:40,440
Speaker 8: had muckbreakers and publications that were very clear about where

559
00:31:40,520 --> 00:31:43,880
Speaker 8: their bias stood. And then somewhere you know, in the

560
00:31:43,920 --> 00:31:48,440
Speaker 8: mid nineteen hundreds, possibly earlier than that, journalism became sort

561
00:31:48,480 --> 00:31:53,440
Speaker 8: of elitist and institutionalized, and there was this thought that

562
00:31:53,520 --> 00:31:57,080
Speaker 8: you could present things objectively, which is very hard to

563
00:31:57,160 --> 00:32:01,920
Speaker 8: do because everyone comes at things with a certain perspective,

564
00:32:02,120 --> 00:32:04,480
Speaker 8: just given that we all have different life you know,

565
00:32:04,720 --> 00:32:08,680
Speaker 8: life experiences. So I think I agree with you. It's

566
00:32:08,720 --> 00:32:10,440
Speaker 8: better if we could go back to those days where

567
00:32:10,440 --> 00:32:13,640
Speaker 8: people were just transparent about their bias, and then you

568
00:32:13,640 --> 00:32:16,520
Speaker 8: could say, Okay, I know where this person is coming from,

569
00:32:16,600 --> 00:32:18,960
Speaker 8: I know what their ideological leaning is.

570
00:32:19,880 --> 00:32:24,200
Speaker 5: For people that want to have an accurate understanding of everything,

571
00:32:24,240 --> 00:32:27,920
Speaker 5: what is your recommendation? Read both sides, Read a little

572
00:32:27,920 --> 00:32:29,680
Speaker 5: bit from the left, read a little bit from the right,

573
00:32:29,800 --> 00:32:32,200
Speaker 5: kind of get a sense of what everyone's saying.

574
00:32:32,320 --> 00:32:32,960
Speaker 2: Or are there.

575
00:32:32,880 --> 00:32:36,720
Speaker 5: Truly objective outlets that media pedia has uncovered.

576
00:32:37,560 --> 00:32:40,520
Speaker 8: Well, my first recommendation is, if there's any hint of

577
00:32:40,600 --> 00:32:43,400
Speaker 8: doubt or you just want some clarity, go to mediapedia

578
00:32:43,400 --> 00:32:46,080
Speaker 8: dot org. That is in fact why we were founded.

579
00:32:46,800 --> 00:32:50,560
Speaker 8: You can search our online database for journalists and find

580
00:32:50,560 --> 00:32:53,920
Speaker 8: out which way they lean because we have a proprietary

581
00:32:54,000 --> 00:32:58,360
Speaker 8: model in which we're able to measure what that reporter's

582
00:32:58,720 --> 00:33:02,680
Speaker 8: average biases they report, or you can find an article

583
00:33:02,880 --> 00:33:08,320
Speaker 8: and see where the bias is. We have eight criteria

584
00:33:08,360 --> 00:33:12,680
Speaker 8: that we use across every single reporter determine what their

585
00:33:12,680 --> 00:33:17,040
Speaker 8: bias is. And so for people who want more information

586
00:33:17,240 --> 00:33:21,280
Speaker 8: or want to be you know, they suspect something they're

587
00:33:21,320 --> 00:33:24,440
Speaker 8: reading has biased, go to media pedia dot org and

588
00:33:24,920 --> 00:33:28,080
Speaker 8: they can in fact verify whether or not that reporter

589
00:33:28,480 --> 00:33:31,240
Speaker 8: is leaning left, leaning right, or center. And yes, we

590
00:33:31,320 --> 00:33:34,760
Speaker 8: do see some reporters that are center, but man by

591
00:33:34,840 --> 00:33:38,240
Speaker 8: and large from legacy media, they lean left.

592
00:33:39,040 --> 00:33:42,920
Speaker 5: It's harder and harder for anyone to be truly neutral.

593
00:33:43,640 --> 00:33:47,840
Speaker 5: And I've watched this evolution on cable news specifically, because

594
00:33:47,880 --> 00:33:51,840
Speaker 5: even people that are slightly center left on places like

595
00:33:51,920 --> 00:33:54,960
Speaker 5: Newsmax or Fox, they end up kind of having to

596
00:33:55,680 --> 00:33:58,360
Speaker 5: kind of admit that they're not as extreme as some

597
00:33:58,400 --> 00:34:01,160
Speaker 5: of the other people that are in their party. They

598
00:34:01,160 --> 00:34:03,440
Speaker 5: wouldn't even be able to be associated with those networks

599
00:34:03,440 --> 00:34:06,640
Speaker 5: if they were. And so it's kind of like, you know,

600
00:34:06,840 --> 00:34:09,359
Speaker 5: the jig is up. Everybody kind of understands you play

601
00:34:09,360 --> 00:34:12,440
Speaker 5: a role in the situation that you're in.

602
00:34:12,480 --> 00:34:13,520
Speaker 4: But this is very.

603
00:34:13,400 --> 00:34:14,400
Speaker 2: Interesting and very helpful.

604
00:34:14,480 --> 00:34:16,959
Speaker 5: Mediapedia dot org friends, if you want to know more

605
00:34:17,040 --> 00:34:20,480
Speaker 5: and test what you're reading against what they have in

606
00:34:20,520 --> 00:34:24,360
Speaker 5: their research files. There and all the best and Christine,

607
00:34:24,480 --> 00:34:26,960
Speaker 5: great work. Keep up the good work and come back

608
00:34:26,960 --> 00:34:27,640
Speaker 5: and see us again.

609
00:34:27,880 --> 00:34:30,319
Speaker 8: Absolutely, we'd love to come back. Thanks for having me on.

610
00:34:30,440 --> 00:34:33,640
Speaker 5: You got it mediapedia dot org. Kevin McCollough coming back

611
00:34:33,680 --> 00:34:34,480
Speaker 5: from Times Square.

612
00:34:34,800 --> 00:34:35,640
Speaker 2: Don't change the dial.

613
00:34:36,440 --> 00:34:52,160
Speaker 9: Stick around for more of that Kevin next, serving it up.

614
00:34:52,480 --> 00:34:57,480
Speaker 9: That's a no drink mental. It's that Kevin show.

615
00:34:58,360 --> 00:35:00,319
Speaker 2: All right. I hear you, keV.

616
00:35:00,360 --> 00:35:04,520
Speaker 5: You keep saying ultrasounds and I've just been listening tacitly

617
00:35:04,560 --> 00:35:05,080
Speaker 5: in the background.

618
00:35:05,120 --> 00:35:06,400
Speaker 2: What are you talking about? Very simple.

619
00:35:06,800 --> 00:35:09,840
Speaker 5: We are on a journey to see how many babies

620
00:35:09,880 --> 00:35:15,120
Speaker 5: we can save in January of twenty twenty six. Our

621
00:35:15,200 --> 00:35:18,160
Speaker 5: goal is twelve hundred. We want to see twelve hundred

622
00:35:18,200 --> 00:35:22,000
Speaker 5: babies be given a brand new life and prevented from

623
00:35:22,400 --> 00:35:25,200
Speaker 5: being killed through abortion. We would like to see the

624
00:35:25,239 --> 00:35:28,520
Speaker 5: moms in those cases be helped in the times of

625
00:35:28,600 --> 00:35:32,160
Speaker 5: crisis that they're in, and a twenty eight dollars ultrasound

626
00:35:32,560 --> 00:35:36,239
Speaker 5: provided by Preborn for free to that mom begins that

627
00:35:36,320 --> 00:35:39,640
Speaker 5: relationship helps them make a better decision. And so when

628
00:35:39,680 --> 00:35:42,200
Speaker 5: you say, when we were talking about, you know, give

629
00:35:42,239 --> 00:35:44,080
Speaker 5: them the ultrasound, we're not meaning you got to drive

630
00:35:44,120 --> 00:35:45,960
Speaker 5: them to the clinic and do that. We're saying, if

631
00:35:46,000 --> 00:35:48,799
Speaker 5: you give your gift to preborn today, preborn will see

632
00:35:48,800 --> 00:35:51,799
Speaker 5: to it that they have an ultrasound prepaid so that

633
00:35:51,880 --> 00:35:54,240
Speaker 5: they don't have to spend the money. Maybe their insurance

634
00:35:54,239 --> 00:35:56,759
Speaker 5: plan doesn't even cover, maybe they don't have insurance. This

635
00:35:56,840 --> 00:35:59,840
Speaker 5: is one These are all pressures that go into why

636
00:36:00,520 --> 00:36:04,520
Speaker 5: some people are are convinced that they can't have the

637
00:36:04,640 --> 00:36:07,120
Speaker 5: child that God created in them at that time. And

638
00:36:07,160 --> 00:36:09,640
Speaker 5: what we're trying to do is remove those obstacles. So

639
00:36:09,880 --> 00:36:13,200
Speaker 5: an ultrasound does that in a huge way. And you

640
00:36:13,239 --> 00:36:15,440
Speaker 5: can give those for twenty eight dollars each eight three

641
00:36:15,520 --> 00:36:18,000
Speaker 5: three eight five zero b A B Y eight three

642
00:36:18,120 --> 00:36:20,680
Speaker 5: three eight five zero ba B Y and the goal

643
00:36:20,800 --> 00:36:23,440
Speaker 5: is twelve hundred babies saved by the end of January.

644
00:36:23,440 --> 00:36:25,520
Speaker 5: We need to do this. We need to save twelve

645
00:36:25,600 --> 00:36:27,440
Speaker 5: hundred babies, and I think that we can. You can

646
00:36:27,480 --> 00:36:30,640
Speaker 5: also give online at that kevinshow dot com. Scott Wilder

647
00:36:30,680 --> 00:36:33,439
Speaker 5: from Preborn is back with us and Scott, you know

648
00:36:33,640 --> 00:36:36,000
Speaker 5: the way this really gets done is a variety of

649
00:36:36,000 --> 00:36:39,240
Speaker 5: people doing different things. If someone can give fifteen thousand

650
00:36:39,239 --> 00:36:43,440
Speaker 5: dollars in support an ultrasound machine, that's incredible. If someone

651
00:36:43,480 --> 00:36:45,600
Speaker 5: can say, you know what, I can do a ten pack.

652
00:36:45,960 --> 00:36:48,919
Speaker 5: I could give twenty eight dollars a month for ten

653
00:36:48,960 --> 00:36:51,200
Speaker 5: months and give a ten pack, or a one time

654
00:36:51,239 --> 00:36:52,839
Speaker 5: gift of two hundred and eighty for a ten pack.

655
00:36:52,920 --> 00:36:55,319
Speaker 5: Or maybe I just want to start saving babies every

656
00:36:55,360 --> 00:36:56,840
Speaker 5: month and just make this kind of a part of

657
00:36:56,880 --> 00:36:59,120
Speaker 5: who I am and just give on a monthly basis,

658
00:36:59,120 --> 00:37:01,719
Speaker 5: twenty eight dollars preborn every month. That's twelve babies in

659
00:37:01,760 --> 00:37:02,319
Speaker 5: the next year.

660
00:37:02,719 --> 00:37:04,520
Speaker 4: Yeah, I like that. A lot of people have done that.

661
00:37:04,560 --> 00:37:06,919
Speaker 4: I mean I see every sixty seconds all day long.

662
00:37:07,239 --> 00:37:09,120
Speaker 4: I can tell you a look at stuff across the country,

663
00:37:09,280 --> 00:37:11,480
Speaker 4: what people are deciding to do, what makes them intro

664
00:37:11,840 --> 00:37:13,000
Speaker 4: You know, at the end of the year, you might

665
00:37:13,040 --> 00:37:15,680
Speaker 4: have one kind of motivation. As you start a new year,

666
00:37:15,719 --> 00:37:18,840
Speaker 4: somebody might be saying, you know what, every single time

667
00:37:19,520 --> 00:37:22,680
Speaker 4: the calendar turns, I want this year to be a

668
00:37:22,760 --> 00:37:26,120
Speaker 4: year that I stood for life every single month. So January,

669
00:37:26,200 --> 00:37:29,279
Speaker 4: of course, it's sanctity of human life month, perfect time

670
00:37:29,320 --> 00:37:32,959
Speaker 4: to start the beginning of the year, a brand new year.

671
00:37:33,000 --> 00:37:34,600
Speaker 4: Maybe you want to do monthly. So I see an

672
00:37:34,640 --> 00:37:36,640
Speaker 4: awful lot of people say, and you know, I'm not

673
00:37:36,640 --> 00:37:38,400
Speaker 4: going to do a hundred dollars. I'm a half hundred dollars,

674
00:37:38,760 --> 00:37:41,000
Speaker 4: but I do less than a dollar a day. I

675
00:37:41,040 --> 00:37:44,120
Speaker 4: can do that. A lot of people do that. So

676
00:37:44,360 --> 00:37:45,960
Speaker 4: if you want to do that, I mean that is

677
00:37:46,000 --> 00:37:47,840
Speaker 4: a sort of a cool way, as you were saying,

678
00:37:48,360 --> 00:37:50,560
Speaker 4: to have it be more not just a thing that

679
00:37:50,600 --> 00:37:53,319
Speaker 4: you do, but part of who you are, just as

680
00:37:53,320 --> 00:37:56,200
Speaker 4: you're in your matter of course, as you are living.

681
00:37:56,600 --> 00:37:57,520
Speaker 4: This is part part of.

682
00:37:57,440 --> 00:37:59,040
Speaker 5: What you want thing to say on pro life, and

683
00:37:59,120 --> 00:38:00,279
Speaker 5: it's another thing to live it.

684
00:38:00,400 --> 00:38:02,560
Speaker 4: That's right, and it's on. It's only less than a

685
00:38:02,600 --> 00:38:05,399
Speaker 4: dollar a day, so it really is the change left

686
00:38:05,400 --> 00:38:08,239
Speaker 4: over from getting your coffee. It's not you will not

687
00:38:08,239 --> 00:38:11,280
Speaker 4: notice that it has gone. I promise you that. And

688
00:38:11,640 --> 00:38:14,240
Speaker 4: the end of six months, you would have saved six babies.

689
00:38:14,239 --> 00:38:18,080
Speaker 4: The end of twelve months, save twelve babies. Ultrasounds save

690
00:38:18,120 --> 00:38:21,640
Speaker 4: babies because ultrasounds share the truth and it doubles the

691
00:38:21,800 --> 00:38:24,600
Speaker 4: likelihood she'll choose life. So we're standing by for you

692
00:38:24,920 --> 00:38:25,359
Speaker 4: right now.

693
00:38:26,200 --> 00:38:28,879
Speaker 5: Eight three three eight five zero baby, eight three three

694
00:38:29,000 --> 00:38:32,120
Speaker 5: eight five zero b a b y. Those numbers are

695
00:38:32,160 --> 00:38:34,560
Speaker 5: eight three three eight five zero two two two nine

696
00:38:35,239 --> 00:38:37,680
Speaker 5: easy to remember though A three three eight five zero

697
00:38:37,760 --> 00:38:40,400
Speaker 5: baby And from your handheld device. You can also just

698
00:38:40,400 --> 00:38:43,799
Speaker 5: give online. Just go to that kevinshow dot com and

699
00:38:43,840 --> 00:38:45,840
Speaker 5: click the banner at the top of the page.

700
00:38:45,880 --> 00:38:46,920
Speaker 2: It's got a picture of.

701
00:38:46,920 --> 00:38:49,120
Speaker 5: A little cute little baby wrapped up in a blanket,

702
00:38:49,440 --> 00:38:51,759
Speaker 5: looks all warm and content and happy. That's what we're

703
00:38:51,760 --> 00:38:54,600
Speaker 5: trying to create, a bunch of content and happy healthy babies.

704
00:38:55,920 --> 00:38:58,600
Speaker 5: Go and give that at that kevinshow dot com. Click

705
00:38:58,719 --> 00:39:00,800
Speaker 5: right through there. Less in two minutes is what it

706
00:39:00,840 --> 00:39:02,520
Speaker 5: should take to give your gift, and then you can

707
00:39:02,560 --> 00:39:05,560
Speaker 5: be right back to your busy afternoon. But again, the goal,

708
00:39:05,640 --> 00:39:09,800
Speaker 5: twelve hundred babies, twelve hundred lives, twelve hundred little kids

709
00:39:09,880 --> 00:39:12,520
Speaker 5: running around next year, Well they wouldn't be run around yet,

710
00:39:12,520 --> 00:39:15,200
Speaker 5: but they would celebrate their first Christmas next year. And

711
00:39:15,320 --> 00:39:17,200
Speaker 5: think about how cool that would be to have twelve

712
00:39:17,239 --> 00:39:20,240
Speaker 5: hundred families that celebrate their first Christmas with their little

713
00:39:20,239 --> 00:39:22,960
Speaker 5: guy because you gave that gift. Eight three three eight

714
00:39:23,080 --> 00:39:26,080
Speaker 5: five zero two two two nine. Coming right back It's

715
00:39:26,120 --> 00:39:34,960
Speaker 5: That Kevin Show.

716
00:39:39,360 --> 00:39:42,640
Speaker 1: Somewhere in the vowels of the City that Never sleeps Kevin.

717
00:39:42,440 --> 00:39:46,200
Speaker 2: McCullough, radio host with sailing medium is a man also

718
00:39:46,480 --> 00:39:47,720
Speaker 2: not sleeping.

719
00:39:47,440 --> 00:39:48,640
Speaker 10: From the show.

720
00:39:48,680 --> 00:39:51,400
Speaker 2: That's Kevin and the Color and that guy would like

721
00:39:51,520 --> 00:39:53,839
Speaker 2: a word with you. Many of you know him whom

722
00:39:53,880 --> 00:39:56,440
Speaker 2: has votes for Damas. Of course, that Kevin Show is

723
00:39:56,440 --> 00:39:58,200
Speaker 2: going to be great. The only thing that could.

724
00:39:57,960 --> 00:39:59,839
Speaker 4: Be greater, of course, would be that Donald Show.

725
00:40:00,000 --> 00:40:00,440
Speaker 6: Don't have that.

726
00:40:00,560 --> 00:40:01,879
Speaker 11: So we have That Kevin.

727
00:40:01,600 --> 00:40:06,280
Speaker 1: Show featuring the music of Dick Tunney and the Dream

728
00:40:06,320 --> 00:40:19,600
Speaker 1: in Color Orchestra, straight ahead, everything you need to know

729
00:40:19,680 --> 00:40:22,959
Speaker 1: about the top headlines of the day and a perspective

730
00:40:23,120 --> 00:40:26,960
Speaker 1: that will give you some eternity to it, plus practical

731
00:40:27,000 --> 00:40:32,080
Speaker 1: tips for family life, spiritual life, and good old regular life.

732
00:40:33,040 --> 00:40:36,480
Speaker 1: It's Kenna McCullough Monday through Friday on.

733
00:40:36,680 --> 00:40:38,560
Speaker 2: That Kevin Show.

734
00:40:44,000 --> 00:40:48,000
Speaker 1: And now from the Connors in Sullivan Broadcast Studios. The

735
00:40:48,080 --> 00:40:51,000
Speaker 1: man who is not what he wants to be, but

736
00:40:51,239 --> 00:40:54,319
Speaker 1: is way grateful that is not who he used to be.

737
00:40:55,200 --> 00:40:56,640
Speaker 4: Here the.

738
00:41:00,080 --> 00:41:02,319
Speaker 2: Welcome back That Kevin Show. So pleased to have you

739
00:41:02,360 --> 00:41:02,680
Speaker 2: with us.

740
00:41:02,680 --> 00:41:05,280
Speaker 5: That kevinshow dot Com for everything related to the show.

741
00:41:05,360 --> 00:41:07,839
Speaker 5: One of the things that we like doing here at

742
00:41:07,840 --> 00:41:12,040
Speaker 5: that Kevin Show in January is making a difference in

743
00:41:12,080 --> 00:41:15,719
Speaker 5: people's lives, particularly for little ones. I'm a dad. I

744
00:41:15,760 --> 00:41:18,400
Speaker 5: love being a dad. I'm unapologetic about it. I've got

745
00:41:18,480 --> 00:41:21,480
Speaker 5: four kids, one adopted, three natural birth. They fill my

746
00:41:21,560 --> 00:41:24,600
Speaker 5: life with joy, and as I'm getting older, I'm beginning

747
00:41:24,640 --> 00:41:26,920
Speaker 5: to understand that I don't really take a lot of

748
00:41:26,960 --> 00:41:28,440
Speaker 5: joy out of other things. I mean, I used to

749
00:41:28,440 --> 00:41:30,960
Speaker 5: be a hardcore sports fan and golfer and all this

750
00:41:31,000 --> 00:41:33,840
Speaker 5: other stuff. If I can jettison all of that and

751
00:41:33,880 --> 00:41:37,319
Speaker 5: spend the afternoon with my with my young'uns, that's a

752
00:41:37,400 --> 00:41:40,920
Speaker 5: way better experience for me. And one of the reasons

753
00:41:40,960 --> 00:41:42,799
Speaker 5: why I don't really want them to grow up and

754
00:41:42,840 --> 00:41:45,120
Speaker 5: move out, but they're going to. But one of the

755
00:41:45,160 --> 00:41:49,200
Speaker 5: reasons that I'm so enthusiastic about Preborn is because we're

756
00:41:49,239 --> 00:41:53,319
Speaker 5: giving the opportunity for other parents to experience that joy.

757
00:41:53,360 --> 00:41:57,520
Speaker 5: We're saying to a mom, no, you can actually have

758
00:41:57,719 --> 00:42:00,840
Speaker 5: this wonderful experience of being a mom and and and

759
00:42:00,920 --> 00:42:04,080
Speaker 5: develop those relationships with those young UN's as they go along.

760
00:42:04,080 --> 00:42:06,640
Speaker 5: Scott Wilder is back with us from Preborn. A proud

761
00:42:06,719 --> 00:42:09,560
Speaker 5: dad himself, very very proud. All your kids are kind

762
00:42:09,600 --> 00:42:10,719
Speaker 5: of on the grown up side of me.

763
00:42:10,800 --> 00:42:12,600
Speaker 4: But I mean, I'm a dad and I'm a granddad.

764
00:42:12,920 --> 00:42:15,000
Speaker 5: Yeah, and and I see I haven't gotten to that

765
00:42:15,040 --> 00:42:17,800
Speaker 5: level yet. So it's that's another layer of fun that

766
00:42:17,840 --> 00:42:18,600
Speaker 5: I'm looking forward to.

767
00:42:18,640 --> 00:42:19,000
Speaker 4: Nice.

768
00:42:19,320 --> 00:42:19,960
Speaker 2: But it's true.

769
00:42:19,960 --> 00:42:21,880
Speaker 5: This is a gift that we give parents that are

770
00:42:21,880 --> 00:42:24,640
Speaker 5: involuntarire and to the to the fathers and the mothers.

771
00:42:24,800 --> 00:42:27,440
Speaker 4: Yeah, no, it is. And I think that when you

772
00:42:27,480 --> 00:42:29,160
Speaker 4: talk to a girl who goes in to get an

773
00:42:29,239 --> 00:42:33,799
Speaker 4: ultrasoun and and her attitude is no way, and she

774
00:42:33,920 --> 00:42:37,720
Speaker 4: means that she were typing it, she right, no period, way, period,

775
00:42:38,040 --> 00:42:41,759
Speaker 4: no way. I'm not having this baby, no way. And

776
00:42:41,800 --> 00:42:44,799
Speaker 4: that's that's her attitude walking in. But then walking out,

777
00:42:45,120 --> 00:42:47,120
Speaker 4: her attitude is, I can't wait.

778
00:42:48,880 --> 00:42:50,600
Speaker 2: No way, I'm not having this baby.

779
00:42:50,680 --> 00:42:53,399
Speaker 4: Yeah. Initially it's like and there's no way I'm having

780
00:42:53,480 --> 00:42:55,640
Speaker 4: this baby. Coming out, it's like, yeah, no way, I'm

781
00:42:55,640 --> 00:42:58,280
Speaker 4: not abby. Can I play Atlanta for you? I wanted

782
00:42:58,360 --> 00:43:01,640
Speaker 4: to hear Atlanta's testimony.

783
00:43:01,200 --> 00:43:03,680
Speaker 12: Before I got married. I was on a full scholarship

784
00:43:03,680 --> 00:43:06,319
Speaker 12: at George Mason University for lacrosse. I was also on

785
00:43:06,360 --> 00:43:09,440
Speaker 12: team Canada playing for the World Cup team, and so

786
00:43:09,520 --> 00:43:12,600
Speaker 12: I had all these dreams and hopes of pursuing professionally

787
00:43:12,640 --> 00:43:16,240
Speaker 12: as a lacrosse player, then developing into a Division one coach,

788
00:43:16,440 --> 00:43:18,960
Speaker 12: and I already had my full route planned out. So

789
00:43:18,960 --> 00:43:21,440
Speaker 12: we got married. My husband was on board and my

790
00:43:21,520 --> 00:43:24,480
Speaker 12: number one cheerleader saying yeah, that's awesome. And then we

791
00:43:24,480 --> 00:43:27,400
Speaker 12: got married and found out I was pregnant with Ethan

792
00:43:28,200 --> 00:43:31,120
Speaker 12: four months after we're married. And when I found out

793
00:43:31,160 --> 00:43:34,040
Speaker 12: I was pregnant as devastated, and it was crazy because

794
00:43:34,280 --> 00:43:36,719
Speaker 12: I was a new believer. I'm like, you know, this

795
00:43:36,760 --> 00:43:38,799
Speaker 12: is my body. I don't think we're ready for a kid.

796
00:43:38,840 --> 00:43:41,200
Speaker 12: We'll just have an abortion, you know. And it came

797
00:43:41,239 --> 00:43:43,319
Speaker 12: out just that simple. I was just like, yeah, we'll

798
00:43:43,320 --> 00:43:45,359
Speaker 12: just have an abortion. It'll be fine, you know, and

799
00:43:45,480 --> 00:43:47,640
Speaker 12: I'll just go on my route that I already had planned.

800
00:43:48,160 --> 00:43:52,000
Speaker 12: And my husband, he is a strong Christian man, was like, no,

801
00:43:52,160 --> 00:43:52,759
Speaker 12: like you.

802
00:43:52,840 --> 00:43:53,520
Speaker 10: Just got saints.

803
00:43:53,560 --> 00:43:56,280
Speaker 12: I was like, what's like, No, I have a plan.

804
00:43:56,200 --> 00:43:57,359
Speaker 11: Like this is what I'm going to do.

805
00:43:58,040 --> 00:44:01,320
Speaker 12: And I remember in the apartment we're living in Rosemary

806
00:44:01,400 --> 00:44:03,759
Speaker 12: Ridge apartment, singing in the bathroom, just.

807
00:44:04,360 --> 00:44:05,280
Speaker 10: All like crying.

808
00:44:05,320 --> 00:44:07,440
Speaker 12: My eyes out, thinking like what am I going to do?

809
00:44:07,960 --> 00:44:10,520
Speaker 12: And I just remember like almost like a slap in

810
00:44:10,520 --> 00:44:12,839
Speaker 12: the face, like suck it up. And it was God

811
00:44:12,960 --> 00:44:15,040
Speaker 12: saying like, you have to have faith in me. I

812
00:44:15,040 --> 00:44:17,719
Speaker 12: will take care of you, like this is what I have.

813
00:44:17,960 --> 00:44:20,080
Speaker 12: I already have your life planned out, this is why

814
00:44:20,120 --> 00:44:23,040
Speaker 12: I have planned trusted me, and I just like stood up,

815
00:44:23,120 --> 00:44:25,840
Speaker 12: like not stood up, but I just was like, oh, okay,

816
00:44:26,160 --> 00:44:29,479
Speaker 12: let's do this. Okay, We're never judging. They're always there,

817
00:44:29,600 --> 00:44:33,080
Speaker 12: open arm welping me. And of course they're two saying

818
00:44:33,120 --> 00:44:35,439
Speaker 12: like this is your decision, this is you like we're

819
00:44:35,480 --> 00:44:37,680
Speaker 12: just here to support you and just educate you. And

820
00:44:37,760 --> 00:44:40,200
Speaker 12: it was really cool not to be pressured like you

821
00:44:40,280 --> 00:44:43,080
Speaker 12: better keep this baby, or you're going to like someplace

822
00:44:43,160 --> 00:44:45,279
Speaker 12: you don't want to go. And it was just it

823
00:44:45,320 --> 00:44:48,160
Speaker 12: was really reassuring to know that again, no matter what

824
00:44:48,239 --> 00:44:50,759
Speaker 12: I decided, they were there. They just wanted to obviously

825
00:44:51,040 --> 00:44:53,960
Speaker 12: help guide me and show me what was available. And

826
00:44:54,239 --> 00:44:58,400
Speaker 12: ended up having Ethan March twenty fifth, two thousand and eleven.

827
00:44:58,600 --> 00:44:59,560
Speaker 12: And he was amazing.

828
00:44:59,560 --> 00:45:03,520
Speaker 4: He was per Now think about that, she's recalling that

829
00:45:03,600 --> 00:45:07,200
Speaker 4: from a long time ago, and isn't it fun? To

830
00:45:07,239 --> 00:45:09,399
Speaker 4: hear her even give the name of the apartment there.

831
00:45:09,440 --> 00:45:11,839
Speaker 4: I was in the Rosemary Ridge apartment. I mean, that's

832
00:45:11,880 --> 00:45:14,600
Speaker 4: the most remarkable thing to me about the story is

833
00:45:14,680 --> 00:45:17,560
Speaker 4: she is able to just pull those details out.

834
00:45:17,840 --> 00:45:21,959
Speaker 5: Well, you so, to your point, this stage of life

835
00:45:22,320 --> 00:45:25,560
Speaker 5: is full of memories, and so whatever you do in

836
00:45:26,120 --> 00:45:28,719
Speaker 5: that window, it's going to be memorable.

837
00:45:29,000 --> 00:45:30,759
Speaker 4: I know, you want it to be a positive one.

838
00:45:31,120 --> 00:45:33,279
Speaker 4: So she can recall all that. That's what I mean.

839
00:45:33,560 --> 00:45:35,520
Speaker 4: You know, something that was about ten years ago, but

840
00:45:35,600 --> 00:45:38,080
Speaker 4: the senior citizen, for her, that might have been forty

841
00:45:38,160 --> 00:45:40,040
Speaker 4: years ago. I got a note from a woman who

842
00:45:40,080 --> 00:45:43,360
Speaker 4: said we were talking about the value of the ultrasound

843
00:45:43,440 --> 00:45:46,560
Speaker 4: on a different radio station. And the note that she said,

844
00:45:47,080 --> 00:45:50,960
Speaker 4: she said, I wish that I had someone give me

845
00:45:51,640 --> 00:45:55,360
Speaker 4: the gift of an ultrasound forty seven years ago. Now,

846
00:45:55,440 --> 00:45:57,320
Speaker 4: let me just put a pause in that for a second.

847
00:45:57,840 --> 00:46:00,640
Speaker 4: Here's what I find interesting. She didn't I say almost

848
00:46:00,640 --> 00:46:05,040
Speaker 4: fifty years ago. She didn't say more than forty years ago.

849
00:46:05,280 --> 00:46:08,600
Speaker 4: She said forty seven years ago. You know why, because

850
00:46:08,600 --> 00:46:12,080
Speaker 4: she knows exactly when that happened. And next year she

851
00:46:12,080 --> 00:46:15,200
Speaker 4: would have said forty eight years ago. And the next

852
00:46:15,239 --> 00:46:18,799
Speaker 4: year she would say forty nine years ago. That's my point.

853
00:46:18,960 --> 00:46:23,799
Speaker 4: It really really sticks the decision that is made, and

854
00:46:23,880 --> 00:46:26,839
Speaker 4: we want to make sure that the best memories are

855
00:46:26,880 --> 00:46:29,080
Speaker 4: what they have and you can do that. You can

856
00:46:29,160 --> 00:46:31,560
Speaker 4: help do that by providing the ultrasound. When you provide

857
00:46:31,560 --> 00:46:34,479
Speaker 4: it today, that's the truth. And she needs the truth

858
00:46:34,520 --> 00:46:37,640
Speaker 4: and she needs a friend. So if you've been through

859
00:46:37,640 --> 00:46:41,800
Speaker 4: this before, you are uniquely qualified to know the value

860
00:46:41,840 --> 00:46:45,760
Speaker 4: of the ultrasound. Every woman who has ever given a gift,

861
00:46:46,080 --> 00:46:50,239
Speaker 4: or called or sent a text beyond giving and has

862
00:46:50,320 --> 00:46:54,120
Speaker 4: told a story about how she would do things differently

863
00:46:55,080 --> 00:46:58,080
Speaker 4: if she could go back in time, she is saying,

864
00:46:58,600 --> 00:47:02,400
Speaker 4: in her own way, I'm qualified to know the value

865
00:47:02,440 --> 00:47:06,400
Speaker 4: of this. If that had been given to me, my

866
00:47:06,640 --> 00:47:10,479
Speaker 4: whole life would be different. So, yeah, you're saving a baby,

867
00:47:10,520 --> 00:47:12,799
Speaker 4: you're saving a mom, you're saving a dad, saving a

868
00:47:12,840 --> 00:47:15,239
Speaker 4: mom and a dad from perhaps a lifetime of pain

869
00:47:15,320 --> 00:47:18,960
Speaker 4: and sorrow and regret. Certainly the moms, we assume the

870
00:47:19,040 --> 00:47:21,440
Speaker 4: dads will know, but sometimes the dads don't know. The

871
00:47:21,480 --> 00:47:24,520
Speaker 4: moms certainly know about the decision that she has made,

872
00:47:25,080 --> 00:47:27,040
Speaker 4: and we want to make sure that she has the

873
00:47:27,080 --> 00:47:30,600
Speaker 4: best memory a year from now. Believe me, a year

874
00:47:30,640 --> 00:47:33,560
Speaker 4: from now, she'll be thankful that you had given her

875
00:47:33,600 --> 00:47:37,600
Speaker 4: that ultrasound, or she'll have a different memory that we

876
00:47:37,640 --> 00:47:40,080
Speaker 4: could have made different if we just had provided an

877
00:47:40,160 --> 00:47:41,560
Speaker 4: ultrasound today.

878
00:47:42,120 --> 00:47:45,240
Speaker 5: Well, we know that there are at least twelve hundred

879
00:47:45,320 --> 00:47:48,239
Speaker 5: ultrasounds that we could produce just in January, friend, if

880
00:47:48,280 --> 00:47:52,080
Speaker 5: everybody listening went and did their part, twenty eight dollars apiece.

881
00:47:52,600 --> 00:47:55,279
Speaker 5: But that's how many that Preborn has said to that

882
00:47:55,400 --> 00:47:58,360
Speaker 5: Kevin show. This is the amount of ultrasounds that we need.

883
00:47:58,680 --> 00:48:00,680
Speaker 5: On top of that, we also need at least a

884
00:48:00,719 --> 00:48:06,440
Speaker 5: couple of those ultrasound machines, which are about fifteen thousand

885
00:48:06,440 --> 00:48:09,320
Speaker 5: to each. The ultrasounds are twenty eight dollars apiece, the

886
00:48:09,640 --> 00:48:12,600
Speaker 5: machines are fifteen thousand. But a combination of that, if

887
00:48:12,600 --> 00:48:15,480
Speaker 5: we got a couple of those machines and twelve hundred ultrasounds,

888
00:48:15,520 --> 00:48:18,279
Speaker 5: we would be able to help indefinitely a number of

889
00:48:18,320 --> 00:48:21,640
Speaker 5: women that are going to need the services. They're going

890
00:48:21,640 --> 00:48:25,520
Speaker 5: to need the help because life happens, and we're not perfect,

891
00:48:25,640 --> 00:48:28,840
Speaker 5: and we don't expect anybody else to be. But Preborn

892
00:48:28,960 --> 00:48:33,000
Speaker 5: is so wholly dedicated to the Gospel in word and deed,

893
00:48:33,120 --> 00:48:36,800
Speaker 5: They don't just say the words. They love on the woman.

894
00:48:36,960 --> 00:48:39,480
Speaker 5: They show them the truth. They give them the truth,

895
00:48:39,760 --> 00:48:42,440
Speaker 5: They help them through the difficulty of the birth. Up

896
00:48:42,480 --> 00:48:45,719
Speaker 5: to two years worth of a discipleship program that a

897
00:48:45,760 --> 00:48:48,040
Speaker 5: woman can go through, the dad can go through, the

898
00:48:48,040 --> 00:48:51,719
Speaker 5: the men's program, even lifestyle stuff. How to balance a

899
00:48:51,800 --> 00:48:53,360
Speaker 5: check book, how to do some of the things that

900
00:48:53,719 --> 00:48:57,440
Speaker 5: sometimes have escaped their opportunity. Here's the number eight three

901
00:48:57,560 --> 00:49:01,280
Speaker 5: three eight five zero baby three three eight five zero

902
00:49:01,320 --> 00:49:04,360
Speaker 5: two two two nine eight three three eight five zero

903
00:49:04,440 --> 00:49:06,600
Speaker 5: b a b y eight three three eight five zero

904
00:49:06,640 --> 00:49:09,959
Speaker 5: two two two nine Or go to that kevinshow dot

905
00:49:10,000 --> 00:49:11,560
Speaker 5: com and click the little banner at.

906
00:49:11,440 --> 00:49:12,160
Speaker 2: The top of the page.

907
00:49:12,160 --> 00:49:15,359
Speaker 5: You'll see a big smiling baby's face right there.

908
00:49:15,840 --> 00:49:17,480
Speaker 2: Click that. That'll take you right there.

909
00:49:17,640 --> 00:49:19,640
Speaker 5: Forty seconds later you should be on and off and

910
00:49:19,680 --> 00:49:21,480
Speaker 5: be able to go about your day. But thank you

911
00:49:21,800 --> 00:49:24,160
Speaker 5: for saving a life, thank you for helping a mom,

912
00:49:24,280 --> 00:49:26,960
Speaker 5: thank you for loving on those that need it, and

913
00:49:27,200 --> 00:49:27,640
Speaker 5: we hope to.

914
00:49:27,680 --> 00:49:30,000
Speaker 2: Change the world through it. Coming right back, Kevin mckella.

915
00:49:30,120 --> 00:49:44,480
Speaker 4: Don't go anywhere here.

916
00:49:44,520 --> 00:49:50,120
Speaker 6: He is from New York. Exact Kevin Kevin McCullough.

917
00:49:51,400 --> 00:49:53,399
Speaker 2: All right, Kevin McCullough, glad to have you with us.

918
00:49:53,800 --> 00:49:57,480
Speaker 5: You know that on Wednesdays we sometimes set the front

919
00:49:57,520 --> 00:50:01,040
Speaker 5: page of the newspaper down, not completely, but for a

920
00:50:01,080 --> 00:50:04,520
Speaker 5: little while, just to focus in on some issues related

921
00:50:04,520 --> 00:50:09,080
Speaker 5: to wellness and when when you're talking about long term

922
00:50:09,320 --> 00:50:14,240
Speaker 5: disease and prevention and improvement in some of the really

923
00:50:14,360 --> 00:50:17,640
Speaker 5: most I would I would say agonizing.

924
00:50:18,200 --> 00:50:20,560
Speaker 2: Diseases that we face. There.

925
00:50:20,600 --> 00:50:23,920
Speaker 5: There there is some very there are some very exciting

926
00:50:23,920 --> 00:50:26,879
Speaker 5: things happening on the research level and the trial level

927
00:50:27,080 --> 00:50:30,720
Speaker 5: that I'm always glad to speak with my next guest about,

928
00:50:31,120 --> 00:50:34,560
Speaker 5: partly because he is spending his life focusing on figuring

929
00:50:34,600 --> 00:50:36,960
Speaker 5: out how to do something about them. Quango is a

930
00:50:37,000 --> 00:50:41,920
Speaker 5: researcher and long time uh uh discoverer of.

931
00:50:43,680 --> 00:50:44,120
Speaker 2: Knowledge.

932
00:50:44,239 --> 00:50:45,560
Speaker 5: I guess it is the best way to put at

933
00:50:45,600 --> 00:50:49,799
Speaker 5: Kwang that you that you you want to in some

934
00:50:49,840 --> 00:50:53,280
Speaker 5: ways do something that no other medicine has done before,

935
00:50:53,320 --> 00:50:55,960
Speaker 5: and that is when we're talking about Alzheimer's or Parkinson's.

936
00:50:56,400 --> 00:50:59,279
Speaker 5: There's a lot of things on the market that have

937
00:50:59,719 --> 00:51:02,640
Speaker 5: kind of of made progress in reducing symptoms and those

938
00:51:02,680 --> 00:51:05,960
Speaker 5: types of things, but there's been very little advancement done

939
00:51:06,040 --> 00:51:09,319
Speaker 5: on the reversal of the actual disease or the curing

940
00:51:09,400 --> 00:51:12,399
Speaker 5: of the actual disease, and you've been involved in some

941
00:51:12,440 --> 00:51:15,359
Speaker 5: really exciting trials and some things related to that. We're

942
00:51:15,360 --> 00:51:16,680
Speaker 5: going to get into all of that in the next

943
00:51:16,719 --> 00:51:19,480
Speaker 5: few minutes. But thanks for coming back and being with us.

944
00:51:19,520 --> 00:51:20,160
Speaker 2: We appreciate it.

945
00:51:21,200 --> 00:51:22,359
Speaker 10: Kevin, thank you for having me back.

946
00:51:22,360 --> 00:51:23,600
Speaker 2: It's a pleasure always.

947
00:51:24,000 --> 00:51:26,680
Speaker 5: And our good friend doctor Mark Siegel again was the

948
00:51:26,680 --> 00:51:30,000
Speaker 5: one who introduced us. Let me ask you when we're

949
00:51:30,040 --> 00:51:34,840
Speaker 5: talking about neuro inflammation, which is something I'm hearing a

950
00:51:34,880 --> 00:51:39,480
Speaker 5: little bit more about in some of the mainstream medical

951
00:51:40,000 --> 00:51:45,000
Speaker 5: kind of annals that these conversations take place in. Inflammation

952
00:51:45,080 --> 00:51:48,120
Speaker 5: for a long time has been thought of, particularly by

953
00:51:48,200 --> 00:51:50,320
Speaker 5: nutritionists and people that are kind of in the holistic

954
00:51:50,360 --> 00:51:54,239
Speaker 5: side of health, as something that really is devastating to

955
00:51:54,480 --> 00:51:59,719
Speaker 5: long term health prospects. What's the difference in bodily inflammation

956
00:51:59,840 --> 00:52:02,239
Speaker 5: and kind of inflammation that they talk about and the

957
00:52:02,280 --> 00:52:06,720
Speaker 5: inflammation that is labeled neuro inflammation and what it does

958
00:52:06,880 --> 00:52:07,680
Speaker 5: inside the body?

959
00:52:08,719 --> 00:52:12,440
Speaker 10: Sure, inflammation is a very broad term that I think

960
00:52:12,480 --> 00:52:15,160
Speaker 10: we need to break down for a minute. First of all,

961
00:52:15,320 --> 00:52:19,320
Speaker 10: inflammation is part of the body's natural process for healing itself,

962
00:52:19,719 --> 00:52:22,880
Speaker 10: So for example, when we have an infection, but the

963
00:52:22,920 --> 00:52:26,319
Speaker 10: immune system kicks in and these immune cells go after

964
00:52:26,400 --> 00:52:29,520
Speaker 10: the infection, and as the immune cells do their work,

965
00:52:29,600 --> 00:52:33,040
Speaker 10: they create inflammation to release different side of kinds and

966
00:52:33,040 --> 00:52:36,640
Speaker 10: so forth to create and it creates the inflammation. But

967
00:52:36,840 --> 00:52:40,360
Speaker 10: after the infection or whatever it is that has been conquered,

968
00:52:40,680 --> 00:52:43,760
Speaker 10: the immune cells then subside and the inflammation goes away.

969
00:52:44,160 --> 00:52:46,680
Speaker 10: So that is just a natural part of how the

970
00:52:46,719 --> 00:52:51,279
Speaker 10: body works. But the problem today in our lives is

971
00:52:51,280 --> 00:52:55,200
Speaker 10: that we constantly expose the body to situations such as

972
00:52:55,840 --> 00:52:58,280
Speaker 10: that needs to be fended off, so we put ourselves

973
00:52:58,360 --> 00:53:03,120
Speaker 10: in harm's way different toxins. Obesity is a real issue,

974
00:53:03,880 --> 00:53:06,520
Speaker 10: right and so forth. That means that the body is

975
00:53:06,719 --> 00:53:11,359
Speaker 10: constantly mounting an immune response one way or another, and

976
00:53:11,440 --> 00:53:14,279
Speaker 10: it leads to a situation that we call chronic low

977
00:53:14,320 --> 00:53:19,160
Speaker 10: grade inflammation, where inflammation just exists all the time. And

978
00:53:19,320 --> 00:53:22,360
Speaker 10: chronic low grade inflammation is the starting point for a

979
00:53:22,400 --> 00:53:26,280
Speaker 10: lot of things going wrong in the body. It initiates

980
00:53:26,320 --> 00:53:30,560
Speaker 10: a cascade of downstream factors that's been associated with a

981
00:53:30,640 --> 00:53:34,080
Speaker 10: large number of disease. And we think of inflammation as

982
00:53:34,280 --> 00:53:36,800
Speaker 10: can be systemic or peripheral, so it's in the bodies,

983
00:53:36,880 --> 00:53:40,240
Speaker 10: it's circulating around in the bloodstream, but it could also

984
00:53:40,320 --> 00:53:43,759
Speaker 10: be a problem up in the brain. Right, So when

985
00:53:44,000 --> 00:53:46,839
Speaker 10: it involves inflammation in the CNS or in the brain,

986
00:53:46,960 --> 00:53:52,280
Speaker 10: it's called neural inflammation, which then it's been associated with Parkinson's, Alzheimer's,

987
00:53:52,560 --> 00:53:55,120
Speaker 10: and so forth. Because the brain is the brain, right,

988
00:53:55,120 --> 00:53:58,279
Speaker 10: there's just one organ, and whenever you have inflammation there,

989
00:53:58,360 --> 00:54:01,719
Speaker 10: whatever may have been this, any point of an injury there,

990
00:54:01,760 --> 00:54:05,120
Speaker 10: it just gets magnified. And that's why inflammation is associated

991
00:54:05,160 --> 00:54:07,800
Speaker 10: with so many different CNS diseases.

992
00:54:08,440 --> 00:54:10,440
Speaker 5: Want to I want to hit pause on that for

993
00:54:10,520 --> 00:54:13,160
Speaker 5: just a second, because you talk about the fact that

994
00:54:13,280 --> 00:54:16,759
Speaker 5: our bodies are just kind of constantly under this this

995
00:54:16,920 --> 00:54:24,000
Speaker 5: stress that creates the inflammation. Is that primarily dietary? Is it?

996
00:54:24,040 --> 00:54:28,680
Speaker 5: Is it dietary? And lifestyle? Is it? Fitness levels?

997
00:54:28,800 --> 00:54:29,160
Speaker 2: Is I mean?

998
00:54:29,200 --> 00:54:32,080
Speaker 5: What is because was this the way it was when

999
00:54:32,120 --> 00:54:35,040
Speaker 5: the pioneers were rolling covered wagons across the country.

1000
00:54:36,040 --> 00:54:39,120
Speaker 10: No, probably not. It is certainly all of the above. Right,

1001
00:54:39,440 --> 00:54:43,640
Speaker 10: We put ourselves into environments that has various toxins and

1002
00:54:43,719 --> 00:54:46,239
Speaker 10: harms to it, right, So I think that's one contributor.

1003
00:54:46,719 --> 00:54:50,239
Speaker 10: But obese is a major issue, right. It could be

1004
00:54:50,280 --> 00:54:52,920
Speaker 10: our diet, could be the lack of exercise, all of

1005
00:54:52,960 --> 00:54:58,399
Speaker 10: which contributes to obesity. And as fat cells die, they

1006
00:54:58,480 --> 00:55:04,480
Speaker 10: essentially create this massive immune respont which then triggers the

1007
00:55:04,600 --> 00:55:07,279
Speaker 10: clearing of the dead fat cells. Right, just to put

1008
00:55:07,320 --> 00:55:10,480
Speaker 10: it very simple, right, and that is what causes the inflammation.

1009
00:55:12,120 --> 00:55:14,919
Speaker 2: Well, what kills the fat cells.

1010
00:55:16,000 --> 00:55:19,000
Speaker 10: It's just natural sinescence process. These cells just kind of

1011
00:55:19,040 --> 00:55:22,880
Speaker 10: go through a natural life cycle and they get generated

1012
00:55:22,920 --> 00:55:24,439
Speaker 10: to do the function than they die.

1013
00:55:25,719 --> 00:55:29,920
Speaker 5: Okay, when we lose weight, when we're involved in weight loss,

1014
00:55:31,320 --> 00:55:33,719
Speaker 5: are we killing those fat cells? Are we creating more

1015
00:55:33,760 --> 00:55:38,480
Speaker 5: inflammation through the removal of those fat cells to so

1016
00:55:38,640 --> 00:55:39,120
Speaker 5: we said.

1017
00:55:38,960 --> 00:55:41,319
Speaker 10: We are because we're removing the fat cells. So fat

1018
00:55:41,400 --> 00:55:45,200
Speaker 10: cells to get removed, right, But by losing weight, that

1019
00:55:45,280 --> 00:55:48,840
Speaker 10: also leads to other good factories, right, because there won't

1020
00:55:48,880 --> 00:55:52,360
Speaker 10: be more fat veels generated, which then needs to be

1021
00:55:52,440 --> 00:55:53,680
Speaker 10: killed off in the future.

1022
00:55:54,360 --> 00:56:01,239
Speaker 5: How does how does neuroinflation inflammation rather neuroinflammation measure here

1023
00:56:01,280 --> 00:56:05,080
Speaker 5: in the US as opposed to say places like Italy

1024
00:56:05,320 --> 00:56:08,160
Speaker 5: or Israel or some places in Europe where you have

1025
00:56:08,280 --> 00:56:13,319
Speaker 5: more of a pedestrian lifestyle and people are you know,

1026
00:56:14,000 --> 00:56:17,480
Speaker 5: moving more out of force of how to live their

1027
00:56:17,520 --> 00:56:21,200
Speaker 5: life than what the US is kind of mile famous for,

1028
00:56:21,239 --> 00:56:23,440
Speaker 5: where we drive everywhere and we sit all day and

1029
00:56:23,480 --> 00:56:26,320
Speaker 5: we you know, we just do it very differently.

1030
00:56:27,600 --> 00:56:30,080
Speaker 10: Well, I think the obesity rate is the closest proxy

1031
00:56:30,160 --> 00:56:32,640
Speaker 10: that you're going to get to that answer. We just

1032
00:56:32,719 --> 00:56:35,680
Speaker 10: have a greater portion of the population in the usobs

1033
00:56:35,719 --> 00:56:38,120
Speaker 10: compared to other places around the world. So I think

1034
00:56:38,160 --> 00:56:40,319
Speaker 10: that is a key factor.

1035
00:56:40,000 --> 00:56:44,840
Speaker 5: In this, and that would mirror than the neuroinflation. Inflammation

1036
00:56:45,280 --> 00:56:49,719
Speaker 5: issue has been what has been done previously to try

1037
00:56:49,760 --> 00:56:53,560
Speaker 5: to treat neuroinflammation or has it been on the radar screen?

1038
00:56:53,600 --> 00:56:56,920
Speaker 5: How long have we been tracking it as as a

1039
00:56:56,960 --> 00:56:58,680
Speaker 5: problem that needs to be taken note of.

1040
00:57:00,120 --> 00:57:03,200
Speaker 10: Well, it's been known for quite some time that inflammation

1041
00:57:03,360 --> 00:57:06,440
Speaker 10: is a factor in many diseases, but frankly, there's not

1042
00:57:06,560 --> 00:57:09,560
Speaker 10: been a lot of work done on it. Right, you

1043
00:57:09,680 --> 00:57:14,400
Speaker 10: take something like Alzheimer's. We believe that Alzheimer's is a

1044
00:57:14,440 --> 00:57:18,520
Speaker 10: critical driver of Alzheimer's is neuroinflammation and dis sociate insular resistance.

1045
00:57:18,960 --> 00:57:22,400
Speaker 10: But over the past four or five decades, the medical

1046
00:57:22,480 --> 00:57:27,600
Speaker 10: establishment has really focused on amyloid beta and amyloid and

1047
00:57:27,760 --> 00:57:32,160
Speaker 10: tal pathologies, which we believe is a it is a

1048
00:57:32,200 --> 00:57:35,520
Speaker 10: wild good chase, goose chase. It's the symptoms, it's the

1049
00:57:35,640 --> 00:57:38,840
Speaker 10: byproduct of us going on with Alzheimer's, and it's not

1050
00:57:38,880 --> 00:57:42,280
Speaker 10: really the cause of Alzheimer's in my opinion. Right so,

1051
00:57:42,360 --> 00:57:45,680
Speaker 10: I think we have been chasing the wrong marker, and

1052
00:57:45,720 --> 00:57:47,440
Speaker 10: I think people are beginning.

1053
00:57:47,000 --> 00:57:47,960
Speaker 4: To realize that now.

1054
00:57:48,040 --> 00:57:52,439
Speaker 10: So I think there's more exploration of alternative mechanisms going

1055
00:57:52,440 --> 00:57:54,560
Speaker 10: on right now, and inflammation is one of them. I

1056
00:57:54,600 --> 00:57:58,200
Speaker 10: think there's right now there's probably two handsful of company

1057
00:57:58,960 --> 00:58:02,600
Speaker 10: working in inflammation for various CNS diseases, and we happen

1058
00:58:02,680 --> 00:58:06,320
Speaker 10: to have one of the furthest along molecules out there

1059
00:58:06,360 --> 00:58:09,680
Speaker 10: for Parkinson's and long COVID and Alzheimer's.

1060
00:58:09,760 --> 00:58:12,040
Speaker 5: Yeah, we're going to talk about that in the next segment.

1061
00:58:12,120 --> 00:58:15,680
Speaker 5: And it's it's exciting because you and I started talking

1062
00:58:16,400 --> 00:58:18,880
Speaker 5: very early on the journey when this was being developed

1063
00:58:19,360 --> 00:58:22,360
Speaker 5: to see the progress that has taken place there. If

1064
00:58:22,360 --> 00:58:25,000
Speaker 5: people want to know more about your research before we

1065
00:58:25,000 --> 00:58:27,240
Speaker 5: go to this first break, Quwang, how do they how

1066
00:58:27,240 --> 00:58:29,480
Speaker 5: do they get a hold of what you've done and

1067
00:58:29,520 --> 00:58:31,760
Speaker 5: how can they pass it on to their friends?

1068
00:58:32,680 --> 00:58:36,400
Speaker 10: Everything can be found in our website, which is biovpharma

1069
00:58:36,680 --> 00:58:39,320
Speaker 10: dot com. There you can find all of our presentation

1070
00:58:39,480 --> 00:58:43,240
Speaker 10: or scientific publications and so forth in my various podcasts

1071
00:58:43,240 --> 00:58:44,120
Speaker 10: and presentations.

1072
00:58:44,240 --> 00:58:47,120
Speaker 5: Yeah, biov is spelled b I O V I E

1073
00:58:47,320 --> 00:58:52,600
Speaker 5: bio v pharma dot com, biov pharma dot com. And

1074
00:58:53,280 --> 00:58:54,800
Speaker 5: when we do come back from this break, we're going

1075
00:58:54,840 --> 00:58:59,760
Speaker 5: to talk about on some level the very real impact

1076
00:58:59,840 --> 00:59:05,640
Speaker 5: that neuroinflammation has in the kind of the connection between

1077
00:59:05,680 --> 00:59:08,160
Speaker 5: what he just mentioned in terms of long COVID and

1078
00:59:08,280 --> 00:59:13,240
Speaker 5: also Parkinson's, because there are some really amazing things that

1079
00:59:13,280 --> 00:59:16,560
Speaker 5: are beginning to be learned and discovered through what we

1080
00:59:16,600 --> 00:59:20,360
Speaker 5: are discussing today. My guest is Quwangdo. He is the

1081
00:59:20,400 --> 00:59:24,280
Speaker 5: president and chief executive officer of biov It's a clinical

1082
00:59:24,320 --> 00:59:28,800
Speaker 5: stage company developing innovative therapies for the treatment of neurological

1083
00:59:29,200 --> 00:59:33,360
Speaker 5: and neurodegenerative disorders and advanced liver disease. I wasn't aware

1084
00:59:33,400 --> 00:59:35,040
Speaker 5: of that part of Kwang will have to talk about

1085
00:59:35,080 --> 00:59:37,840
Speaker 5: that as well, because with the amount of alcohol that

1086
00:59:37,880 --> 00:59:41,280
Speaker 5: Americans are consuming, I'm sure that we have needs for

1087
00:59:41,320 --> 00:59:45,960
Speaker 5: that as well. But he's also a highly experienced life

1088
00:59:45,960 --> 00:59:48,560
Speaker 5: science as executive who has served in various leadership roles

1089
00:59:48,880 --> 00:59:52,680
Speaker 5: and now just spending his days trying to make people healthier.

1090
00:59:52,720 --> 00:59:54,680
Speaker 5: And we are grateful for that. And if you miss

1091
00:59:54,680 --> 00:59:56,360
Speaker 5: any part of this conversation, by the way, friends, go

1092
00:59:56,480 --> 01:00:00,680
Speaker 5: to the Salem Podcast Network. Kevin McCullough. That Kevin Show

1093
01:00:01,000 --> 01:00:04,720
Speaker 5: easy to find and just look for the episode that

1094
01:00:04,760 --> 01:00:07,040
Speaker 5: we are having today where we're talking with Quang Do.

1095
01:00:07,440 --> 01:00:10,240
Speaker 5: Kevin McCullough coming back from Times Square. Glad you're with us.

1096
01:00:10,240 --> 01:00:13,080
Speaker 5: Don't go anywhere. It's that Kevin Show and online at

1097
01:00:13,080 --> 01:00:21,560
Speaker 5: that kevinshow dot com.

1098
01:00:22,320 --> 01:00:52,040
Speaker 9: Let's stick around for more of that Kevin next.

1099
01:00:42,760 --> 01:00:44,640
Speaker 6: Here he is from New York.

1100
01:00:45,480 --> 01:00:46,560
Speaker 4: That Kevin.

1101
01:00:47,680 --> 01:00:48,520
Speaker 6: Kevin McCullough.

1102
01:00:48,920 --> 01:00:51,080
Speaker 5: Welcome back to Times Square. Kevin mccallaugh. Glad to have

1103
01:00:51,120 --> 01:00:53,720
Speaker 5: you with us on Wednesdays. You know, we focus in

1104
01:00:53,760 --> 01:00:56,400
Speaker 5: a little more on the wellness issue than some other days,

1105
01:00:56,480 --> 01:00:58,160
Speaker 5: and glad to do so.

1106
01:00:58,800 --> 01:01:00,600
Speaker 2: Quang Do is with us.

1107
01:01:00,640 --> 01:01:04,840
Speaker 5: He is the president and chief executive officer of biov

1108
01:01:05,360 --> 01:01:09,120
Speaker 5: Incorporated and very excited to talk about some of the

1109
01:01:09,160 --> 01:01:13,160
Speaker 5: development of a molecule KWOG. You started telling me about this,

1110
01:01:13,520 --> 01:01:15,480
Speaker 5: I think it was about three years ago now, just

1111
01:01:15,920 --> 01:01:19,640
Speaker 5: after we were coming out of COVID, but explain for

1112
01:01:19,760 --> 01:01:22,160
Speaker 5: my larger audience, and we're on five hundred and five

1113
01:01:22,200 --> 01:01:25,439
Speaker 5: stations now instead of the just few out of New York.

1114
01:01:25,920 --> 01:01:28,840
Speaker 5: Talk to us about what your company has been in

1115
01:01:28,880 --> 01:01:32,640
Speaker 5: the process of having put on trial and what's been

1116
01:01:32,640 --> 01:01:33,440
Speaker 5: the result so far.

1117
01:01:35,080 --> 01:01:39,200
Speaker 10: Thank you, Kevin. Our lead compound is a product called

1118
01:01:39,320 --> 01:01:44,240
Speaker 10: BESISTERM which blocks inflammation and the associated insulin resistance, and

1119
01:01:44,280 --> 01:01:48,440
Speaker 10: in various clinent files, we have shown that Parkinson's patients

1120
01:01:48,440 --> 01:01:52,800
Speaker 10: have improved muscle control, Alzheimer's patients have seen a sixty

1121
01:01:52,840 --> 01:01:56,400
Speaker 10: eight percent slowing of cognitive client compared to PACEBO and

1122
01:01:56,440 --> 01:01:59,960
Speaker 10: everybody has experienced a slowing of what's called DNA metal,

1123
01:02:00,400 --> 01:02:04,280
Speaker 10: which essentially is a modulation of the biological aging process.

1124
01:02:04,720 --> 01:02:08,000
Speaker 10: And that's the reason why I believe that inflammation is

1125
01:02:08,080 --> 01:02:11,600
Speaker 10: the root for many things going wrong in the body,

1126
01:02:11,640 --> 01:02:15,280
Speaker 10: and in one molecule we're able to address a number

1127
01:02:15,280 --> 01:02:17,760
Speaker 10: of different conditions. That's why we're in the clinic right

1128
01:02:17,760 --> 01:02:21,960
Speaker 10: now for Parkinson's and long COVID, and we'll hopefully get

1129
01:02:21,960 --> 01:02:24,360
Speaker 10: back into the clinic with Alzheimer's proctibly soon.

1130
01:02:25,680 --> 01:02:29,720
Speaker 5: Talk to me about that sixty eight percent number you

1131
01:02:29,760 --> 01:02:33,400
Speaker 5: know it's a it's a genuinely frustrating thing for the

1132
01:02:33,480 --> 01:02:37,160
Speaker 5: patient to feel out of control of the movement of

1133
01:02:37,200 --> 01:02:37,880
Speaker 5: their own body.

1134
01:02:39,400 --> 01:02:42,720
Speaker 10: Yes, absolutely well. It's been known for some time now

1135
01:02:42,800 --> 01:02:45,120
Speaker 10: that two conditions need to be present at the same

1136
01:02:45,160 --> 01:02:48,400
Speaker 10: time for a person to develop Parkinson's symptoms. The first

1137
01:02:48,520 --> 01:02:52,200
Speaker 10: is you need inflammation, neuroinflammation the associated insulin resistance in

1138
01:02:52,200 --> 01:02:55,800
Speaker 10: the brain, and you need low dopamine levels in the brain.

1139
01:02:56,280 --> 01:02:59,919
Speaker 10: If you can just somehow reverse the insulin resistance neuroinflammation

1140
01:03:00,000 --> 01:03:02,120
Speaker 10: and the body is then able to make use of

1141
01:03:02,160 --> 01:03:04,880
Speaker 10: the dopamine levels that are there, but no one has

1142
01:03:04,920 --> 01:03:07,200
Speaker 10: been able to do that. There's been nothing that's practical

1143
01:03:07,400 --> 01:03:11,680
Speaker 10: in reversing inflammation and insulin resistance in the brain. That's

1144
01:03:11,760 --> 01:03:14,960
Speaker 10: why the drug leave Dopa remains the standard of care

1145
01:03:15,080 --> 01:03:18,520
Speaker 10: for Parkinsons five decades after it was introduced. No Leve

1146
01:03:18,600 --> 01:03:23,240
Speaker 10: Dopa is a terrific drunk right. It helps patients restore

1147
01:03:23,360 --> 01:03:27,080
Speaker 10: muscle control, but it does have several deficiencies, one of

1148
01:03:27,120 --> 01:03:29,160
Speaker 10: which is it has a short half life, so you

1149
01:03:29,200 --> 01:03:31,960
Speaker 10: need to take it very frequently, which is problematic overnight

1150
01:03:32,440 --> 01:03:34,840
Speaker 10: right when you people don't typically wake up a couple

1151
01:03:34,840 --> 01:03:38,040
Speaker 10: of times overnight, just detective medication. And then the other

1152
01:03:38,360 --> 01:03:42,320
Speaker 10: is that its effect wanes over time, so that the

1153
01:03:42,400 --> 01:03:45,040
Speaker 10: longer you take it, you have to increase the dose,

1154
01:03:45,360 --> 01:03:48,360
Speaker 10: and as you get into higher dosage levels, it causes

1155
01:03:48,400 --> 01:03:53,400
Speaker 10: something called lev dopa induced discognesia, which is the tremor,

1156
01:03:53,560 --> 01:03:56,960
Speaker 10: the trembling that you see many Parkinson's patients have. And

1157
01:03:57,040 --> 01:03:59,320
Speaker 10: when the discognesia is present, all you can do is

1158
01:03:59,400 --> 01:04:03,680
Speaker 10: reduce the dose of levedopa until the tremor passes. But

1159
01:04:03,760 --> 01:04:06,720
Speaker 10: while you do that, you loose muscle controls. You're rigid,

1160
01:04:06,760 --> 01:04:07,400
Speaker 10: you can't move.

1161
01:04:07,920 --> 01:04:08,280
Speaker 4: So it's a.

1162
01:04:08,320 --> 01:04:12,280
Speaker 10: Terrible situation that made parkinson'spaceship space, and we believe we

1163
01:04:12,320 --> 01:04:16,520
Speaker 10: have a solution for that because in our preclinical studies,

1164
01:04:16,960 --> 01:04:21,520
Speaker 10: we found that Bezi's theream alone was equally effective as

1165
01:04:21,600 --> 01:04:26,480
Speaker 10: levedopa in restoring muscle control in rodents and non human primates.

1166
01:04:26,640 --> 01:04:28,880
Speaker 10: That's a huge comment because no other drug has been

1167
01:04:28,920 --> 01:04:31,840
Speaker 10: able to say that over the decades. But what we

1168
01:04:31,880 --> 01:04:34,400
Speaker 10: also found is that when you give it together in

1169
01:04:34,560 --> 01:04:39,360
Speaker 10: combination of leve dopa, you saw maximum muscle control. So

1170
01:04:39,440 --> 01:04:43,360
Speaker 10: based upon that information, we went into the clinic. We

1171
01:04:43,560 --> 01:04:48,080
Speaker 10: enrolled forty part mile there's like forty moderate to severe

1172
01:04:48,160 --> 01:04:51,560
Speaker 10: Parkinson's patients in a clinical trial where we gave half

1173
01:04:51,600 --> 01:04:55,160
Speaker 10: of them a placebo and levedopa, so essentially just leve doopa,

1174
01:04:55,640 --> 01:04:57,680
Speaker 10: and then the other half we gave the combination of

1175
01:04:57,720 --> 01:05:00,840
Speaker 10: Bezi's them and levedopa. And what we found, those that

1176
01:05:00,960 --> 01:05:05,440
Speaker 10: have the tet the combination experience greater muscle control. So

1177
01:05:05,480 --> 01:05:08,800
Speaker 10: it establishes in humans the proof of concept that you

1178
01:05:08,840 --> 01:05:13,400
Speaker 10: can use BESISTERHAM with levadopa to help moderate to severe

1179
01:05:13,480 --> 01:05:17,760
Speaker 10: Parkinson's patients improve their muscle control. And it establishes the

1180
01:05:17,800 --> 01:05:20,320
Speaker 10: first half of what we want to do with Parkinson's.

1181
01:05:20,560 --> 01:05:23,440
Speaker 10: And right now we are conducting a clinical trial to

1182
01:05:23,520 --> 01:05:27,120
Speaker 10: show the second half, which is we can use We're

1183
01:05:27,160 --> 01:05:32,560
Speaker 10: trying to use BESISTERM alone at an earlier stage, so

1184
01:05:32,640 --> 01:05:35,480
Speaker 10: we are enrolling. In fact, we have just announced that

1185
01:05:35,480 --> 01:05:39,560
Speaker 10: we have fully enrolled our trial of sixty patients, half

1186
01:05:39,600 --> 01:05:42,160
Speaker 10: of whom are given a placebo and then the other

1187
01:05:42,240 --> 01:05:47,040
Speaker 10: half is given just BESISTERM. And these are Parkinson's patients

1188
01:05:47,080 --> 01:05:49,080
Speaker 10: who need to go into medication for the first time

1189
01:05:49,120 --> 01:05:52,680
Speaker 10: to address their symptoms. And indus trial and then subsequent trials.

1190
01:05:52,720 --> 01:05:56,160
Speaker 10: What we're trying to show is that BEZISTERM could slow

1191
01:05:56,400 --> 01:06:00,040
Speaker 10: the progression of the disease, hopefully slow the progression of

1192
01:06:00,080 --> 01:06:02,480
Speaker 10: the muscle loss. And if we can show that and

1193
01:06:02,840 --> 01:06:06,920
Speaker 10: demonstrate disease modification, this will be a major breakthrough in

1194
01:06:06,960 --> 01:06:09,120
Speaker 10: the field of Parkinson's and this would be the first

1195
01:06:09,120 --> 01:06:13,800
Speaker 10: disease modificed disease modifying drug in Parkinson's and become the

1196
01:06:13,840 --> 01:06:17,080
Speaker 10: first new therapy in Parkinson's in five decades. We're not

1197
01:06:17,120 --> 01:06:20,280
Speaker 10: there yet, but the current trial is underway. We expect

1198
01:06:20,360 --> 01:06:25,320
Speaker 10: data in May, and then subsequent trial hopefully will allow

1199
01:06:25,400 --> 01:06:27,400
Speaker 10: us to register and get out to the market.

1200
01:06:28,480 --> 01:06:31,280
Speaker 5: That's significantly further along than where it was when we

1201
01:06:31,320 --> 01:06:35,640
Speaker 5: first started having these conversations, QUO, based on what you're seeing,

1202
01:06:36,560 --> 01:06:39,439
Speaker 5: do you think it's possible that we're going to get to.

1203
01:06:39,360 --> 01:06:40,640
Speaker 2: The point where.

1204
01:06:42,520 --> 01:06:47,240
Speaker 5: Where symptoms are able to be not only you know, slowed,

1205
01:06:47,760 --> 01:06:51,680
Speaker 5: but actually see a reversal in the in the impact

1206
01:06:51,760 --> 01:06:53,720
Speaker 5: of what these diseases do to the humans.

1207
01:06:55,240 --> 01:06:58,720
Speaker 10: I don't know about reversal, but what I'm really focused

1208
01:06:58,760 --> 01:07:01,800
Speaker 10: on right now is can we halt or slow the

1209
01:07:01,840 --> 01:07:04,440
Speaker 10: progression of the disease, and if we can do that

1210
01:07:04,600 --> 01:07:07,640
Speaker 10: at an early stage of the disease. We will substantially

1211
01:07:07,640 --> 01:07:08,000
Speaker 10: improve that.

1212
01:07:08,160 --> 01:07:11,160
Speaker 5: To be clear, Stern is showing potential at the earliest

1213
01:07:11,160 --> 01:07:13,640
Speaker 5: stage of any treatment that's been put out there.

1214
01:07:14,400 --> 01:07:16,800
Speaker 10: Absolutely, that's what we're that's what we're seeing, and that's

1215
01:07:16,800 --> 01:07:17,560
Speaker 10: what we're hoping to show.

1216
01:07:18,160 --> 01:07:21,520
Speaker 5: If you want more information, friends, check out bio vpharma

1217
01:07:22,000 --> 01:07:24,360
Speaker 5: dot com. Biov is spelled b I O v I

1218
01:07:24,440 --> 01:07:28,280
Speaker 5: E pharma dot com. And uh, we're going to continue

1219
01:07:28,280 --> 01:07:30,040
Speaker 5: with our discussion with Kwangdo right after this.

1220
01:07:30,080 --> 01:07:31,920
Speaker 2: Stay here old.

1221
01:07:42,560 --> 01:07:48,360
Speaker 6: Here he is from New York. That Kevin Kevin McCullough.

1222
01:07:49,000 --> 01:07:51,600
Speaker 2: Okay, glad you're with us. Kevin McCullough. On Wednesdays, we

1223
01:07:51,920 --> 01:07:53,160
Speaker 2: do take a little bit of time to.

1224
01:07:53,120 --> 01:07:56,200
Speaker 5: Talk about wellness because it's something that I feel like

1225
01:07:56,320 --> 01:07:59,320
Speaker 5: is important. And as I set out the kind of

1226
01:07:59,320 --> 01:08:01,200
Speaker 5: the mission of the show at the beginning of the

1227
01:08:01,200 --> 01:08:04,800
Speaker 5: month of January. This month, I really am interested in

1228
01:08:04,840 --> 01:08:10,000
Speaker 5: trying to elevate people's minds, people's way of life, people's communication.

1229
01:08:11,400 --> 01:08:12,960
Speaker 5: We have to talk about the news, we have to

1230
01:08:13,000 --> 01:08:15,560
Speaker 5: talk about what's going on. We have to be aware

1231
01:08:15,720 --> 01:08:19,280
Speaker 5: and have you information that we're able to use in

1232
01:08:19,320 --> 01:08:22,120
Speaker 5: our day to day life. But I believe that one

1233
01:08:22,160 --> 01:08:24,479
Speaker 5: of the areas that we want to do as much

1234
01:08:24,520 --> 01:08:29,000
Speaker 5: elevating as we can is helping people be healthier. And

1235
01:08:29,040 --> 01:08:32,160
Speaker 5: that's why I'm really excited about what Kwangdo and the

1236
01:08:32,160 --> 01:08:36,960
Speaker 5: team at biov Pharma are sharing with us today because

1237
01:08:37,280 --> 01:08:41,080
Speaker 5: it is going to be a breakthrough of significant ways,

1238
01:08:41,920 --> 01:08:45,120
Speaker 5: not just for Parkinson's as we were just talking about

1239
01:08:45,439 --> 01:08:50,200
Speaker 5: in Alzheimer's patients. But Kuwang, I know you're particularly passionate

1240
01:08:50,280 --> 01:08:53,799
Speaker 5: about the impact this has had on long COVID patients,

1241
01:08:53,840 --> 01:08:57,759
Speaker 5: and I will just say, you know, I still see

1242
01:08:58,240 --> 01:09:00,519
Speaker 5: a few people wearing masks every now, and I still

1243
01:09:00,560 --> 01:09:03,280
Speaker 5: hear of people that say I'm still struggling with the

1244
01:09:03,320 --> 01:09:06,720
Speaker 5: after effects of COVID. And of course COVID comes back

1245
01:09:06,800 --> 01:09:10,080
Speaker 5: kind of cyclically where people are getting it, you know,

1246
01:09:10,200 --> 01:09:14,760
Speaker 5: year after year because of strains of it still circulating

1247
01:09:14,800 --> 01:09:18,760
Speaker 5: out there. So, first of all, how present is long

1248
01:09:18,800 --> 01:09:23,280
Speaker 5: COVID in our culture now, and what is being done?

1249
01:09:23,320 --> 01:09:28,120
Speaker 5: And why is Bessie Sturham showing some you know, success

1250
01:09:28,200 --> 01:09:29,679
Speaker 5: with the effects of long COVID.

1251
01:09:31,080 --> 01:09:33,639
Speaker 10: You know, the world has moved on, and rightfully so,

1252
01:09:34,320 --> 01:09:37,480
Speaker 10: from the aftermath of COVID. It was terrible for everybody

1253
01:09:37,800 --> 01:09:40,519
Speaker 10: all around the world, and so we just think that

1254
01:09:40,600 --> 01:09:42,640
Speaker 10: it's behind us. But the reality is that there are

1255
01:09:42,680 --> 01:09:45,880
Speaker 10: thousands of people getting in fact with COVID every single

1256
01:09:45,960 --> 01:09:49,160
Speaker 10: day now, and that's of now. There are seventeen million

1257
01:09:49,200 --> 01:09:54,679
Speaker 10: Americans who still suffer from the lingering effect of long covid, right,

1258
01:09:54,760 --> 01:09:58,439
Speaker 10: which is essentially what happens to the body well after

1259
01:09:58,560 --> 01:09:59,920
Speaker 10: the COVID fact.

1260
01:10:00,439 --> 01:10:01,920
Speaker 5: Well, I was going to ask you that is long

1261
01:10:01,960 --> 01:10:06,679
Speaker 5: covid a separate condition or a different condition than COVID itself.

1262
01:10:07,840 --> 01:10:08,479
Speaker 6: Yes, it is.

1263
01:10:08,800 --> 01:10:13,519
Speaker 10: COVID itself is an infection from the virus, and so

1264
01:10:13,680 --> 01:10:18,080
Speaker 10: the body melts in an immune response and gets rid

1265
01:10:18,200 --> 01:10:24,639
Speaker 10: of the infection. But for some people, fragments of the

1266
01:10:24,680 --> 01:10:29,120
Speaker 10: spike protein and the capsule protein still circulates around in

1267
01:10:29,160 --> 01:10:33,040
Speaker 10: their bloodstream, and as a result, their immune system believes

1268
01:10:33,080 --> 01:10:36,479
Speaker 10: that there is still an infection underway. So those people

1269
01:10:36,520 --> 01:10:41,360
Speaker 10: are constantly mounting an immune response believing that there is

1270
01:10:41,400 --> 01:10:46,360
Speaker 10: still an infection, and that causes inflammation. And seventeen million

1271
01:10:46,360 --> 01:10:49,760
Speaker 10: Americans have the problem. Three million Americans have it so

1272
01:10:50,000 --> 01:10:52,920
Speaker 10: badly that they have had to quit their jobs or

1273
01:10:53,040 --> 01:10:56,160
Speaker 10: change their jobs simply because they can no longer keep

1274
01:10:56,240 --> 01:10:59,320
Speaker 10: up with the physical demands of the role right, many

1275
01:10:59,360 --> 01:11:01,559
Speaker 10: of these people can not stay out of bed for

1276
01:11:01,640 --> 01:11:03,400
Speaker 10: more than two or three hours at a time because

1277
01:11:03,439 --> 01:11:06,880
Speaker 10: of the extreme fatigue and malaise, and others have difficulty

1278
01:11:07,000 --> 01:11:10,120
Speaker 10: thinking straight because of brain thought. Now you may ask,

1279
01:11:10,160 --> 01:11:12,200
Speaker 10: what does any of this thing have to do with

1280
01:11:12,479 --> 01:11:16,400
Speaker 10: Alzheimer's and parkins where biov does its work. Well, it

1281
01:11:16,479 --> 01:11:21,320
Speaker 10: turns out that long COVID acts through exactly the same

1282
01:11:21,439 --> 01:11:27,960
Speaker 10: mechanisms that create in the reason why experts pointed us

1283
01:11:28,000 --> 01:11:31,960
Speaker 10: into this direction. We applied for and received a thirteen

1284
01:11:32,040 --> 01:11:35,880
Speaker 10: million dollar grant to conduct the clinical trial to see

1285
01:11:35,920 --> 01:11:41,160
Speaker 10: if bezi'sterum could help address the long COVID symptoms. Here

1286
01:11:41,200 --> 01:11:43,400
Speaker 10: where in fact, the only company that has received a

1287
01:11:43,439 --> 01:11:46,360
Speaker 10: grant to test the therapeutic for long COVID. So we

1288
01:11:46,439 --> 01:11:49,200
Speaker 10: are in the middle of enrolling a trial of two

1289
01:11:49,280 --> 01:11:54,160
Speaker 10: hundred plus patients where we're giving half a placebo and

1290
01:11:54,200 --> 01:11:56,439
Speaker 10: then the other half bezi Sterham, and we're hoping to

1291
01:11:56,520 --> 01:12:01,000
Speaker 10: show that those that are taking Bezisterham gets improvements on

1292
01:12:01,160 --> 01:12:06,120
Speaker 10: their brain fog and their fatigue and malaise. That trial

1293
01:12:06,240 --> 01:12:10,000
Speaker 10: is underway, we hope to have it fully enrolled by

1294
01:12:10,160 --> 01:12:13,720
Speaker 10: late February. Early March. That sets us up to have

1295
01:12:13,880 --> 01:12:15,360
Speaker 10: top line data read out this summer.

1296
01:12:16,200 --> 01:12:18,479
Speaker 5: What would the steps be beyond the top line of

1297
01:12:19,400 --> 01:12:23,719
Speaker 5: trial before it would be available to the consumer markets.

1298
01:12:25,200 --> 01:12:29,600
Speaker 10: Well, we obviously need to conduct confirmatory studies should we

1299
01:12:29,720 --> 01:12:33,280
Speaker 10: get positive results here, but there is a scenario that

1300
01:12:33,320 --> 01:12:36,040
Speaker 10: we are molling in our minds, which is if we

1301
01:12:36,080 --> 01:12:40,080
Speaker 10: get statistically significant data showing that this works in this trial,

1302
01:12:40,560 --> 01:12:42,479
Speaker 10: we will go and sit down with the FDA and

1303
01:12:42,520 --> 01:12:47,440
Speaker 10: have a conversation about emergency use authorization or accelerated approval

1304
01:12:47,840 --> 01:12:51,439
Speaker 10: for the drug while we conduct our confirmatory study. And

1305
01:12:51,479 --> 01:12:54,400
Speaker 10: that's as you may know, all of the COVID vaccines,

1306
01:12:54,439 --> 01:12:58,240
Speaker 10: the COVID drugs, those were all approved through an emergency

1307
01:12:58,320 --> 01:13:01,040
Speaker 10: used authorization and it's how they got to market. And

1308
01:13:01,120 --> 01:13:04,759
Speaker 10: since there's absolutely nothing available for these thirteen million Americans

1309
01:13:04,760 --> 01:13:08,720
Speaker 10: out there, we believe this is the exact reason why

1310
01:13:08,760 --> 01:13:12,200
Speaker 10: the emergency Use authorization was created to begin with, and

1311
01:13:12,240 --> 01:13:14,840
Speaker 10: we fit that role if you will be the reason

1312
01:13:14,880 --> 01:13:15,720
Speaker 10: for why using it.

1313
01:13:15,840 --> 01:13:21,240
Speaker 5: Have you had early conversations with Marty McCarey or Secretary

1314
01:13:21,360 --> 01:13:26,720
Speaker 5: Kennedy or the FDA formally to alert them to what

1315
01:13:26,760 --> 01:13:29,400
Speaker 5: you're working on because I would think if there's nothing,

1316
01:13:29,600 --> 01:13:33,920
Speaker 5: if there's nothing for those that are suffering from these symptoms,

1317
01:13:34,040 --> 01:13:36,559
Speaker 5: there would be an eagerness to try to find relief

1318
01:13:36,560 --> 01:13:37,480
Speaker 5: for them.

1319
01:13:38,160 --> 01:13:40,680
Speaker 10: We hope that is the case, but fundamentally we are

1320
01:13:40,760 --> 01:13:43,880
Speaker 10: driven by data and facts instead of opinions. So what

1321
01:13:43,960 --> 01:13:47,240
Speaker 10: we the path that we are taking is we're waiting

1322
01:13:47,280 --> 01:13:50,200
Speaker 10: for the data to show that it works right, and

1323
01:13:50,240 --> 01:13:52,400
Speaker 10: once we have the data, we then will go and

1324
01:13:52,439 --> 01:13:55,559
Speaker 10: talk to the various the authorities about the next steps

1325
01:13:55,600 --> 01:13:57,000
Speaker 10: to get it out to the patients we need.

1326
01:13:57,200 --> 01:14:01,760
Speaker 5: Yeah, well it's very exciting and friends, I don't I'm

1327
01:14:01,800 --> 01:14:03,960
Speaker 5: a little bit biased on all of this because I

1328
01:14:04,040 --> 01:14:09,120
Speaker 5: had a grandmother who struggled with Parkinson's and had a

1329
01:14:09,200 --> 01:14:11,400
Speaker 5: really long life, but the end of her life was

1330
01:14:11,520 --> 01:14:15,559
Speaker 5: of a very poor quality. And if we can ease

1331
01:14:15,600 --> 01:14:20,760
Speaker 5: the suffering of others through some of these amazing developments,

1332
01:14:20,840 --> 01:14:25,720
Speaker 5: I am happy to recommend and to promote what we

1333
01:14:25,760 --> 01:14:27,320
Speaker 5: can do to help that because I think it makes

1334
01:14:27,360 --> 01:14:29,840
Speaker 5: a huge difference. Quang Do, thank you for all that

1335
01:14:29,880 --> 01:14:33,160
Speaker 5: you're doing to help people be healthier. And if people

1336
01:14:33,160 --> 01:14:37,280
Speaker 5: want more information again, you can go to bio v Pharma.

1337
01:14:37,760 --> 01:14:40,680
Speaker 5: That's b io VI I E Pharma, p h A

1338
01:14:40,920 --> 01:14:44,000
Speaker 5: r m A dot com biov Pharma and see for

1339
01:14:44,080 --> 01:14:50,640
Speaker 5: yourself the data, the studies, the presentations. It's easy to

1340
01:14:50,680 --> 01:14:53,400
Speaker 5: access and I hope that is encouraging to you as well.

1341
01:14:53,840 --> 01:14:57,400
Speaker 5: And Kwang, thanks for giving us this update. We look

1342
01:14:57,439 --> 01:15:00,640
Speaker 5: forward around May hearing more good news. Hope fully some

1343
01:15:00,680 --> 01:15:02,559
Speaker 5: of these trials turn out quite positive.

1344
01:15:03,840 --> 01:15:07,040
Speaker 10: Thank you for having me here and anticipate. I'm eagerly

1345
01:15:07,080 --> 01:15:08,240
Speaker 10: anticipating May as well.

1346
01:15:08,280 --> 01:15:08,559
Speaker 4: Thank you.

1347
01:15:08,600 --> 01:15:09,360
Speaker 2: Kay very good.

1348
01:15:10,040 --> 01:15:12,920
Speaker 5: Kevin McCollough. We are in New York in Times Square

1349
01:15:12,920 --> 01:15:14,800
Speaker 5: and we're coming right back. So glad you're with us

1350
01:15:15,120 --> 01:15:15,880
Speaker 5: that Kevin Show.

1351
01:15:19,520 --> 01:15:34,080
Speaker 11: Let's stick around for more of that Kevin. Next, I'm

1352
01:15:34,280 --> 01:15:37,439
Speaker 11: serving it up with a no drink minute.

1353
01:15:38,360 --> 01:15:40,080
Speaker 6: It's neat Kevin Show.

1354
01:15:41,560 --> 01:15:43,920
Speaker 5: All right, final a few minutes, Kevin mccallaugh. Glad to

1355
01:15:43,920 --> 01:15:46,920
Speaker 5: have you with us that kevinshow dot com for all

1356
01:15:47,000 --> 01:15:49,280
Speaker 5: things related to what you hear on the air.

1357
01:15:51,439 --> 01:15:53,320
Speaker 2: You know, yesterday we spoke with.

1358
01:15:55,080 --> 01:15:59,559
Speaker 5: Alexandra Bauer of Moms for Liberty and she had been

1359
01:15:59,600 --> 01:16:03,160
Speaker 5: at the Supreme Court as they had their arguments three

1360
01:16:03,200 --> 01:16:05,880
Speaker 5: and a half hours of arguments over whether or not

1361
01:16:06,360 --> 01:16:09,240
Speaker 5: men should be allowed to compete in women's sports. And

1362
01:16:09,240 --> 01:16:12,639
Speaker 5: it's pretty interesting because there's a kind of a side

1363
01:16:12,640 --> 01:16:15,599
Speaker 5: story here. It looks like the Supreme based on the questioning,

1364
01:16:16,200 --> 01:16:18,880
Speaker 5: I feel pretty good about how the Court's going to

1365
01:16:18,960 --> 01:16:22,000
Speaker 5: rule on this. It seems like they understood the assignment.

1366
01:16:22,400 --> 01:16:27,519
Speaker 5: And I'm hopeful that even the more progressive wing of

1367
01:16:27,560 --> 01:16:30,680
Speaker 5: the Court will look at this from the perspective of

1368
01:16:30,720 --> 01:16:34,599
Speaker 5: the woman, because that's really whose rights are at stake here.

1369
01:16:35,360 --> 01:16:39,000
Speaker 5: They lose the scholarships, they lose the places on the team,

1370
01:16:39,720 --> 01:16:44,639
Speaker 5: they lose the records and the milestones, all the rest

1371
01:16:44,680 --> 01:16:48,479
Speaker 5: of it. But what's really funny is that yesterday before

1372
01:16:48,760 --> 01:16:54,400
Speaker 5: the Justices, the ACLU lawyer could not answer question of

1373
01:16:54,400 --> 01:16:57,000
Speaker 5: what a woman was. Justice Alito said, and what is

1374
01:16:57,040 --> 01:16:59,840
Speaker 5: that definition for equal protection purposes? What does it mean

1375
01:16:59,840 --> 01:17:01,960
Speaker 5: to be a boy or a girl, or a man

1376
01:17:02,040 --> 01:17:06,280
Speaker 5: or a woman? The ACLU lawyer, sorry, I misunderstood your question,

1377
01:17:07,920 --> 01:17:09,880
Speaker 5: she because we don't have a definition for the court,

1378
01:17:09,920 --> 01:17:12,679
Speaker 5: and we don't take issue with the We're not disputing

1379
01:17:12,680 --> 01:17:15,200
Speaker 5: the definition here. What we're saying is that the way

1380
01:17:15,200 --> 01:17:18,839
Speaker 5: it applies in practice is to exclude birth sex males

1381
01:17:19,360 --> 01:17:23,800
Speaker 5: categorically from women's teams. What's a birth sex male. It's

1382
01:17:23,840 --> 01:17:26,519
Speaker 5: a male, the lawyer went on to say, and that

1383
01:17:26,560 --> 01:17:29,680
Speaker 5: there's a subset of those birth sex males where it

1384
01:17:29,680 --> 01:17:32,639
Speaker 5: doesn't make sense to do so to the state's own interest.

1385
01:17:33,720 --> 01:17:36,679
Speaker 5: Trying to argue that the state's own interest is best

1386
01:17:36,720 --> 01:17:39,799
Speaker 5: served if you let the boy play in the girl sports.

1387
01:17:41,479 --> 01:17:46,719
Speaker 5: Justice Alito responds, well, how can a court determine whether

1388
01:17:46,760 --> 01:17:50,000
Speaker 5: there's discrimination of the on the basis of sex without

1389
01:17:50,040 --> 01:17:55,960
Speaker 5: knowing what sex means? For equal protection purposes? It's a

1390
01:17:55,960 --> 01:17:58,920
Speaker 5: pretty legit question. Are you ever going to be able

1391
01:17:58,920 --> 01:18:01,880
Speaker 5: to decide who's being discriminated against if you can't simply

1392
01:18:01,880 --> 01:18:05,439
Speaker 5: define what a woman is? And do you remember Justice

1393
01:18:05,479 --> 01:18:12,080
Speaker 5: Katani Brown Jackson, she could not tell you what a

1394
01:18:12,080 --> 01:18:15,080
Speaker 5: woman was in her confirmation hearings, and she is one.

1395
01:18:15,960 --> 01:18:20,840
Speaker 5: And this was her response yesterday, she said, And so

1396
01:18:21,120 --> 01:18:23,759
Speaker 5: to the extent that you have an individual who says,

1397
01:18:23,840 --> 01:18:26,200
Speaker 5: what is happening in this law is that it is

1398
01:18:26,240 --> 01:18:29,800
Speaker 5: treating someone's transgender but who does not have because of

1399
01:18:29,800 --> 01:18:32,360
Speaker 5: the medical interventions and the things that have been done,

1400
01:18:32,760 --> 01:18:37,240
Speaker 5: does not have the same threat to physical competition and safety,

1401
01:18:37,280 --> 01:18:40,040
Speaker 5: And all the reasons the state puts forward that's actually

1402
01:18:40,080 --> 01:18:44,120
Speaker 5: a different class, says this individual, So you're not treating

1403
01:18:44,160 --> 01:18:46,200
Speaker 5: the class the same, And how do you respond to that?

1404
01:18:46,840 --> 01:18:52,479
Speaker 5: Nobody understood what Katani Brown Jackson was saying yesterday because she.

1405
01:18:52,479 --> 01:18:53,400
Speaker 2: Doesn't know what she's saying.

1406
01:18:55,439 --> 01:19:00,920
Speaker 5: The pretzel that you have to work yourself into to

1407
01:19:01,160 --> 01:19:04,720
Speaker 5: even say the things they're trying to say, because they

1408
01:19:04,720 --> 01:19:08,120
Speaker 5: refuse to say that it's a male playing in a

1409
01:19:08,160 --> 01:19:10,960
Speaker 5: female sport. They refuse to say that it's a boy

1410
01:19:11,160 --> 01:19:14,080
Speaker 5: playing on a girl's team. One of the authors at

1411
01:19:14,120 --> 01:19:19,400
Speaker 5: Red States said, what but perhaps that's not coming surprising

1412
01:19:19,479 --> 01:19:21,640
Speaker 5: coming from someone who couldn't find what a woman was

1413
01:19:22,000 --> 01:19:25,440
Speaker 5: during her confirmation hearing because she wasn't, quote a biologist.

1414
01:19:27,400 --> 01:19:29,679
Speaker 5: You know who doesn't you know who's not confused about

1415
01:19:29,680 --> 01:19:33,639
Speaker 5: the biology of this matter. Every father of daughters across

1416
01:19:33,680 --> 01:19:36,760
Speaker 5: the country, I happen to be one. But if you're

1417
01:19:36,760 --> 01:19:39,320
Speaker 5: the father of daughters, you're not confused about what they're

1418
01:19:39,400 --> 01:19:41,880
Speaker 5: arguing about, and you have a very strong opinion about

1419
01:19:41,920 --> 01:19:44,840
Speaker 5: whether or not boys should be on that team. And

1420
01:19:44,920 --> 01:19:47,439
Speaker 5: if you're a father who's okay with letting boys being

1421
01:19:47,680 --> 01:19:51,240
Speaker 5: in your daughter's locker room, you should have your kids

1422
01:19:51,280 --> 01:19:52,040
Speaker 5: taken away from you.

1423
01:19:52,720 --> 01:19:53,559
Speaker 2: That's what we used to do.

1424
01:19:53,600 --> 01:19:57,679
Speaker 5: By the way, for people that put boys in girls

1425
01:19:57,720 --> 01:20:02,240
Speaker 5: private spaces, we consider that dangerous and we charged them

1426
01:20:02,280 --> 01:20:05,360
Speaker 5: with crimes from that. And now that's the public school

1427
01:20:05,479 --> 01:20:10,599
Speaker 5: in your neighborhood, in many instances, tragic. Kevin McCullough, we'll

1428
01:20:10,600 --> 01:20:11,320
Speaker 5: see you next time.