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Speaker 1: Do you want to be in a Mexican All right,

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Speaker 1: here we go Scott's long back half of the week.

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Speaker 1: It's all good, seven hundred wlw is. The rain just

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Speaker 1: continues to hammer us right now. If your basement is

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Speaker 1: not not wet, you're lucky. You're lucky. Six days now

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Speaker 1: in the Iran War, more Americans disapprove than approve. The

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Speaker 1: MAGA coalition is fracturing, somewhat, Democrats are fracturing somewhat. Congress

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Speaker 1: is paralyzed. The White House still can't explain why we're

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Speaker 1: fighting in the first place. And the poll numbers aren't good.

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Speaker 1: So we'll do a little bit of a dive on

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Speaker 1: that one this morning with Kevin Burton. Kevin with Crosstown

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Speaker 1: Consulting here in Cincinnati. How are you, buddy, pretty good

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Speaker 1: by yourself. I'm doing fine. I'm doing fine. Yeah, your

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Speaker 1: basement's not the only thing underwater right now. So latest

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Speaker 1: poll numbers here, and this is impacting the midterm elections

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Speaker 1: and of course control of Congress, balance of power, all

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Speaker 1: those things. Fox News pulling shows the most favorable split

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Speaker 1: is only at fifty percent approval. Fifty percent approval rating,

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Speaker 1: you'll take it, right, But even than that. Within the

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Speaker 1: Fox News poll, there's only what only forty percent of

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Speaker 1: independence are on board with the war in Iran. CNN

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Speaker 1: shows a fifty nine percent disapproval rate, Augov dot Pole

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Speaker 1: shows a forty eight percent disapproval rate, only like three

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Speaker 1: at one and three approved in that poll. So overall,

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Speaker 1: nearly six and tens are over six and ten Americans

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Speaker 1: are against action in Iraq. And it's obviously a huge

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Speaker 1: partisan divide as well. So that is the lay of

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Speaker 1: the land right now. And we've got the Texas midterms

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Speaker 1: going on, which generally I don't pay too much attention

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Speaker 1: to because I live in Ohio, you live in Kentucky, Kevin.

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Speaker 1: But overall, right now, this is not a it's not

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Speaker 1: a good look for the White House. Polling shows this disapproval.

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Speaker 1: So does that typically harden or soften as a military

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Speaker 1: operation of folds because we're in the first few days

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Speaker 1: of this and we don't know how much longer it's

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Speaker 1: going to go. But do the numbers get worse from

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Speaker 1: this point out?

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Speaker 2: I mean, the only thing that we can look back

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Speaker 2: on is both you know, Biden pulling out from Afghanistan

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Speaker 2: and then George W. Bush, right, because both of those

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Speaker 2: are in recent memories, and both of those hurt both presidents.

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Speaker 2: Going forward, now, the one question is is this something

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Speaker 2: that is a three to four week operation or is

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Speaker 2: this something that's going to be a quagmire. You know,

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Speaker 2: like if if troops go, I think there's something around

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Speaker 2: like twelve to fifteen percent of Americans when actual sent troops. Uh,

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Speaker 2: then I think you're going to be looking at a

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Speaker 2: two thousand and eight style wipeout for the Republicans. If

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Speaker 2: this is just a quick operation, maybe no harm, no

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Speaker 2: foul yet.

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Speaker 1: Like Obama, Obama didn't hurt him. Obama came me boo boom, Morain,

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Speaker 1: we're out this. So it's if it's days, we're okay.

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Speaker 1: If it's weeks, different start, if it's months, forget about it.

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Speaker 2: Yes, exactly, that's that's the perfect way to say it.

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Speaker 3: Now.

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Speaker 1: And Trump is non committal on this whole thing, of course. Yeah,

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Speaker 1: that's and that's not good. Look, I think that's not

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Speaker 1: good if you're Republican. Right now, the Fox News poll

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Speaker 1: shows a more favorable flip than CNN, you gover the

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Speaker 1: other ones. Now, well, how do you explain that gap?

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Speaker 1: I mean, typically, well, it's because it's a right leading.

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Speaker 1: You know, they're going to make Trump look good, but

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Speaker 1: that's not always the case.

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Speaker 2: No, And also it's their sample size. So some poles

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Speaker 2: will do like five are roughly around five hundred. Other

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Speaker 2: poles will do thirteen hundred, Other poles will do twenty

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Speaker 2: seven hundred, which obviously if you do more people, the

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Speaker 2: pole is going to be better. You know, poles are random,

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Speaker 2: it's completely random, but like you will just randomly get a.

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Speaker 4: Bad sub section of poles.

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Speaker 2: So it's always important when you're looking at poles to

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Speaker 2: take the aggregate aggregate of all of them because that's

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Speaker 2: generally where it's going to lie most in the middle.

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Speaker 1: Yeah, and people will say, well, I mean Trump is

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Speaker 1: you know, he never was able to fit in that

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Speaker 1: bucket anyway, because trying to measure his supporters is really

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Speaker 1: really tough. But was more of was that more of

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Speaker 1: a one off or a couple times of post to

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Speaker 1: again of water always comes back to level, right, is

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Speaker 1: that the case?

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Speaker 5: Now?

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Speaker 1: It's like yeah, pretty much, Now we were pretty good

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Speaker 1: at measuring Trump supporters.

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Speaker 2: Well so Trump in twenty sixteen, they couldn't measure them

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Speaker 2: in twenty twenty. Remember it was Democrats have to be

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Speaker 2: up seven points nationally in the polls for that to

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Speaker 2: correlate to a.

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Speaker 5: General election will win.

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Speaker 2: The Harris poll was basically fifty to fifty the whole time,

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Speaker 2: give or take, so that one wasn't as shocking. So, yes,

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Speaker 2: polling has gotten better, but there still is the undercurrent

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Speaker 2: of rural America just pulling just hasn't quite figured that

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Speaker 2: out yet. Yes, they've gotten better. It's it's way better

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Speaker 2: than twenty fifteen, twenty sixteen. But at the end of

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Speaker 2: the day, independents are going to dictate who wins the

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Speaker 2: House the Senate later this.

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Speaker 1: Year, gotcha, all right? So we know that elections are

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Speaker 1: won in the middle Independent disapproval rating anywhere between fifty

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Speaker 1: five and near seventy percent, depending on the poll, And

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Speaker 1: that is the one that you've got to be looking

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Speaker 1: at and be really nervous about right now if you're

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Speaker 1: a Republican in those numbers. But do you see opportunity

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Speaker 1: there as a Democrat and can they capitalize not that's

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Speaker 1: a big question.

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Speaker 2: Well, I mean Democrats have kind of just been lost

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Speaker 2: in the wilderness for the last honestly decade trying to

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Speaker 2: figure out a strategy they just can't figure out Trump.

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Speaker 2: But the one thing that can think of presidency faster

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Speaker 2: than anything is an unpopular war decision, you KNOWLBJ add

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Speaker 2: to that with Biden. So if you're Democrats, But to

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Speaker 2: your point, roughly about twenty percent of Democrats actually support this,

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Speaker 2: So it's actually very fascinating why twenty three percent of

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Speaker 2: Republicans disapprove of this.

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Speaker 4: So it's it's still.

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Speaker 2: Very very early. I think there's a lot of people.

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Speaker 2: If you are a millennial, you grew up with the

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Speaker 2: Iraq and Afghanistan war, so you understand that. I think

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Speaker 2: if you're under thirty five, you don't probably really understand,

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Speaker 2: you know, watching the news every day, seeing you know,

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Speaker 2: soldiers and things that. So I think it's all is

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Speaker 2: this Obama Libya where you know, bomb bombomb quick over

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Speaker 2: no troops or is this the Iraq war?

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Speaker 1: George Bush, I think it's got to be fat right.

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Speaker 5: Is that okay? We we thought there.

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Speaker 1: I mean we've been talking about Iran getting nukes and

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Speaker 1: weaponizing since the nineties. I mean, is it clear and

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Speaker 1: present danger? I don't know if I buy that, but

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Speaker 1: I'm fine with them taking out Comani because of what

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Speaker 1: not only one of the people, but because of the

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Speaker 1: whole regime, and maybe you don't go and take the

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Speaker 1: country over and try and rebuild it in your own likeness,

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Speaker 1: because that doesn't work. We're horrible at regime change. We're

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Speaker 1: just terrible at it. But going and cutting the head

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Speaker 1: and decapitating it and then taking out these strategic sites,

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Speaker 1: making them start all over again, and instead of maybe

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Speaker 1: having nuclear power in ten years, it's you've set them

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Speaker 1: back a couple more decades at least. I think most

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Speaker 1: Americans are fine with that. It's just a protracted war.

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Speaker 1: We don't want if he winds up getting in getting out,

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Speaker 1: do we see those approval rating skyrocket then?

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Speaker 2: And that's the great unknown, you know, if this is

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Speaker 2: a quick successful operation, yeah, it's very possible. But I

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Speaker 2: think at this point with Trump, Tizer, Doug dug In,

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Speaker 2: you know, it's all about the independence. And so that's

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Speaker 2: about ten to fifteen percent of the voting Democrats aren't going

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Speaker 2: to move, Republicans aren't going to move on this a

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Speaker 2: lot so.

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Speaker 5: And it depends.

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Speaker 1: Yeah, So the MAGA coalition was built on anti interventionism

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Speaker 1: and other things too that Trump has like turned his

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Speaker 1: back on, and he looks like he's turning his back

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Speaker 1: here and you have defections from you know, people like

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Speaker 1: Megan Kelly and Tucker Calls and others that broke Trump.

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Speaker 5: How significant is that at this point?

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Speaker 2: You know, I mean, those are some key stakeholders that

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Speaker 2: are against it because you know, he did promise no

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Speaker 2: more wars and we are in a different war. It

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Speaker 2: seems like every other week.

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Speaker 3: You know.

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Speaker 2: I think Americans, especially like what we were just talking about.

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Speaker 2: If millennials or gen X, you've grown up with war

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Speaker 2: your whole entire life, you understand the magnitude of it

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Speaker 2: that it's not something that you take lightly, both with

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Speaker 2: the loss of life and financial I don't think, what

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Speaker 2: is it about ninety percent of Americans don't want to

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Speaker 2: send troops. So you know, we got to see what

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Speaker 2: the president and his team does. It's still very early.

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Speaker 2: We're six days in. You know, Yes, it was a

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Speaker 2: very successful thing to get rid of the ISA toola.

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Speaker 2: What does that translate to? And how many lives of

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Speaker 2: you know, American servicemen.

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Speaker 5: Does that dictate it?

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Speaker 1: It's still very very early, right, we had Congress of course,

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Speaker 1: striking out the warparwers our solution, Greg Landsman voted no

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Speaker 1: on that, and I'd imagine he's facing now more primary

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Speaker 1: threats from the left. And you look at that district,

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Speaker 1: but also overall, progressive groups are threatening to prim at

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Speaker 1: Democrats like Landsman who voted against war powers. So how

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Speaker 1: effective has that strategy historically been a changing incumbent voting behavior.

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Speaker 2: Well, so there was actually a very contested grace in

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Speaker 2: North Carolina really about this and about a PAC and

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Speaker 2: the incumbent barely held on.

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Speaker 5: But you're really seeing.

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Speaker 2: Democrats who have gotten donations from a PAC. They are

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Speaker 2: getting primary and they're being very contentious. You know, I

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Speaker 2: think democrats finally know that for primaries.

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Speaker 5: It's a negative thing. Yeah, if you.

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Speaker 2: Support Trump in any way, and I'm not saying that's good, bad,

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Speaker 2: or indifferent, but if you support Trump in a primary,

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Speaker 2: it's costly.

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Speaker 6: Mm.

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Speaker 1: We'll we'll see. Obviously it's a threat to from Republicans

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Speaker 1: as well. You know, the Texas primaries just happened, and

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Speaker 1: that should a massive Democratic turnout in a Surgeon and

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Speaker 1: Latino heavy counties there, and that's a demographic Trump made

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Speaker 1: pretty significant inroads with it in the last election cycle.

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Speaker 1: Is that a is that an inroad for Democrats there.

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Speaker 1: I mean, if you can, if you can flip to

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Speaker 1: parts of or Texas blue, that that's that's absolutely massive.

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Speaker 1: Is that durable or is that just a brief reaction

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Speaker 1: what's happening in Iran.

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Speaker 2: So Texas is the white whale for Democrats.

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Speaker 5: That always has been.

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Speaker 2: I think most people would agree, regardless of what you think.

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Speaker 2: James tel Rico is a very talented or it's ortator.

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Speaker 2: You know, he's smooth, he's organic, and authenticity is I

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Speaker 2: think the biggest thing that comes through with him, and

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Speaker 2: just generally I think with the American people, authenticity is

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Speaker 2: the number one thing that voters are looking for, regardless

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Speaker 2: of what you know. So people are tired of, you know,

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Speaker 2: growing up in the early two thousands nineties, it was

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Speaker 2: almost like a sitcom politician, you know, like no, people

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Speaker 2: just want someone who's authentic. So for Texas and the

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Speaker 2: Latina thing is it's a combination of ice, it's a

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Speaker 2: combination of rising prices and then also James Telerga talks

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Speaker 2: about faith, which the Latin community is usually more religious.

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Speaker 2: So for the Democrats to take back House, it's gonna

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Speaker 2: or the Senate, it's gonna be really really impossible. They

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Speaker 2: basically have to run the table. It's gonna be about

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Speaker 2: a forty five to forty nine breakdown. And then there's

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Speaker 2: six Senate races to watch, so Ohio, Texas, Michigan.

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Speaker 5: North Carolina foret to the other two.

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Speaker 2: But really those four they would have they would have

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Speaker 2: to win all four of these, and that's that's a

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Speaker 2: tall order because also fundraising for Democrats are lagging drastically

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Speaker 2: behind Republicans.

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Speaker 5: And the interesting thing.

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Speaker 2: Is Texas down is actually probably a better bet than

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Speaker 2: even Ohio with how the poll numbers are looking.

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Speaker 1: Gotcha, if Kevin Burton is here, he's with Crosstown Consulting

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Speaker 1: in northern Kentucky. He's an upholster and political analyst talking

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Speaker 1: about the poll numbers coming out of and you know,

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Speaker 1: at odds with we're talking about the Texas and of

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Speaker 1: course he wore in Iran right now and the most

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Speaker 1: favorable pullings from Fox it shows fifty percent approval rating

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Speaker 1: on this, but all the other ones he's Trump is

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Speaker 1: underwater on mainly with the you know, certainly a lot

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Speaker 1: of progressive all the progressives are you know, they're going

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Speaker 1: to vote, you know, how conservatives are but really underwater

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Speaker 1: with the middle and that's what wins and loses elections

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Speaker 1: right there. And part of this problem, though is the

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Speaker 1: messaging on Iran Kevin it's it's it's just incoherent. You know,

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Speaker 1: there's no clear endgame, the rationale shift, we have contradictory timelines.

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Speaker 1: It is an unmitigated mess. As far as the reason

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Speaker 1: why we're doing this now, Trump is saying one thing,

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Speaker 1: He's got Rubio saying another. No one knows up from

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Speaker 1: down in this How much is that really driving these numbers?

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Speaker 5: Well a lot.

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Speaker 2: I mean, you know, George W. Bush spent a year

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Speaker 2: laying out his case right for the Iraq war, and

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Speaker 2: when we went to Iraq there was a pretty big approval.

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Speaker 2: Then you look at Biden who just kind of pulled

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Speaker 2: the rug out and there was no plan and he

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Speaker 2: never recovered from that. So the American people understand that

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Speaker 2: if there is going to be a war, there needs

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Speaker 2: to be a there needs to be a game plan.

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Speaker 2: You can't be winged. And that's the number one thing.

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Speaker 7: You know, their.

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Speaker 2: Messaging has been all over the point so far. You know,

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Speaker 2: take a deep breath, collect your thoughts, orchestrate the narrative.

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Speaker 2: And then tell the American people, then it'll probably have

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Speaker 2: their poll numbers.

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Speaker 1: If this goes closer to November then March and it's

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Speaker 1: still ongoing, what does that tell you about the effect

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Speaker 1: on the House and Senate races and what might happen.

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Speaker 2: I mean, you don't have to be a political consultant

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Speaker 2: to know if we're if we're in a war and

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Speaker 2: it's a non popular war, it's going to be good.

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Speaker 6: For the Democrats.

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Speaker 4: It just is.

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Speaker 5: Yeah.

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Speaker 2: You know, if it's a quick rip the mandate off,

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Speaker 2: you can recover from that.

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Speaker 5: But if if this is a long war.

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Speaker 2: With troops and spending billions of dollars, you know, with

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Speaker 2: all the problems that Democrats have in their leadership, even

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Speaker 2: they probably can't screw that up.

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Speaker 6: Yeah.

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Speaker 1: Yeah, Well I wanted to leave our discussion Kevin Burton,

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Speaker 1: because you're a friend. I wanted to leave you with

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Speaker 1: a with an empty net goal or a layup if

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Speaker 1: it were to a nice easy one to end the conversation.

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Speaker 1: Kevin Burton at Crosstown Consulting in Northern Kentucky. Thanks again,

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Speaker 1: brother be will thank you for always all right, take care.

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Speaker 5: News on the way. At about five, the weather.

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Speaker 1: Continues, we got rain, rain and more rain, when will

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Speaker 1: if we will and maybe will we get a break?

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Speaker 5: Who knows?

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Speaker 1: Full forecast seconds away, And we'll continue to follow. What's

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Speaker 1: happening in Iran right now and Texas is a really

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Speaker 1: interesting indicator of how things may go in right now

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Speaker 1: now again in a few days versus a few months.

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Speaker 1: I think that is survival and probably what we should

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Speaker 1: be doing at this point. If this thing drags out

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Speaker 1: and God forbid we start going a well, we need to.

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Speaker 1: We need some expeditionary forces there, so they would call them.

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Speaker 1: You wonder how many people who voted for Trump who

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Speaker 1: continues the boredom but just simply turned their back on them.

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Speaker 1: I know quite a few people fall into that category.

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Speaker 1: A brief strike is fine, but dragging this thing out,

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Speaker 1: you're just absolutely bearing yourself. Scott Sloan Show, seven hundred W.

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Speaker 1: Wellda Sloany on the back half of the week with

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Speaker 1: you here, seven hundred WLW.

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Speaker 5: It is going to be wet for the next it

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Speaker 5: feels like maybe thirty years. I don't know.

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Speaker 1: I don't know if this rainal evergo. So you're looking

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Speaker 1: for something to do this weekend, it's gonna be inside.

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Speaker 1: I've got something for you Tomorrow and Saturday, two shows,

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Speaker 1: well four shows, but Friday and Saturday. It's Paul mercurio, comedian.

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Speaker 1: He's about to get fired from his gig get with Colbert.

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Speaker 1: He's a host, It's Tonight show, HBO specials. He's on,

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Speaker 1: he's everywhere all that. He's like like Kevin Hart to

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Speaker 1: a degree. Here he's gonna be at Gobin, as I

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Speaker 1: said on the six and seven. So next weekend, Paul

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Speaker 1: mccurio ready to get on his flight for Cincy.

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Speaker 5: What's going on?

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Speaker 7: My guy?

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Speaker 1: You good, good buddy? How are you doing good? I'm

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Speaker 1: doing good. So yeah, I can see why you're playing Cincinnati.

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Speaker 1: You're gonna be out of a job soon.

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Speaker 6: Yes, thank you.

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Speaker 1: I need you need the Why are you playing Cincinnati

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Speaker 1: on a Saturday? I need the money?

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Speaker 8: Can I just tell you something?

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Speaker 3: And everybody listening? Yeah, this interaction right now, everybody is

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Speaker 3: why Scott doesn't have any friends. Okay, this is how

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Speaker 3: a friend supports a friend.

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Speaker 6: I'm gonna be instance that I'm doing two things.

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Speaker 3: I will be cutting lawns as well to make the

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Speaker 3: extra money good, just to cover myself.

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Speaker 1: You tell your car walk your dog. Hey, you know

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Speaker 1: what twenty bucks is? Twenty bucks? It's worked for Kevin Hard,

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Speaker 1: hasn't it.

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Speaker 8: Yes, he's a poor guy.

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Speaker 6: He's just he's barely got two nickels to rub.

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Speaker 1: Yeh, poor poor guy. Like, who's the most over export

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Speaker 1: exposed comic in the world?

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Speaker 4: Is it?

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Speaker 5: Is it Kevin Hart?

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Speaker 9: Right now?

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Speaker 5: You think is anyone else?

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Speaker 7: More?

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Speaker 8: Might be, but it might be. But I think you

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Speaker 8: know he's.

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Speaker 6: A good guy.

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Speaker 3: Yeah, you commercial the good Yeah, but you know he

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Speaker 3: could throw a huge he could throw a few shekels

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Speaker 3: my way.

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Speaker 1: Yeah, right right, he's funny as hell too. I mean,

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Speaker 1: you know the spots he does with Lebron. Lebron is

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Speaker 1: very underrated, by the way, she should be doing stand up.

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Speaker 8: Yeah yeah, listen, I got enough competition.

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Speaker 6: Buddy, back off. Okay, I said she made it. It's difficult.

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Speaker 6: My mother.

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Speaker 8: I got my mother to deal with.

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Speaker 6: It's crazy.

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Speaker 2: Yeah.

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Speaker 5: How is your mom? By the way, she's.

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Speaker 3: You know, she just turned ninety five, right, and we

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Speaker 3: had to uh yeah, she will not go down. We

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Speaker 3: try everything, Uh, you know, sour milk, your trip her.

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Speaker 3: She bounces back off like a little Italian weebel. No,

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Speaker 3: you know, she's like, you have everybody out there as

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Speaker 3: a parent. That's like she's just a handful. She started

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Speaker 3: a business in nineteen sixty nine as a woman when

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Speaker 3: people were telling her she should stay home and cook

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Speaker 3: and clean, very progressive. She we just made her retire

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Speaker 3: and closed her business after sixty three years, and she's mad,

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Speaker 3: like she doesn't want to be retired.

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Speaker 6: She goes, what am I going to do?

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Speaker 3: I go on, man, you got some money, you could travel.

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Speaker 3: You could go to the senior center.

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Speaker 6: She goes, I'm not going to go there. Those people

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Speaker 6: are old, like they're old. Well, you're ninety six. What

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Speaker 6: are you gonna go skydiving with sailors with?

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Speaker 3: You're old and you can't like no matter, no matter

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Speaker 3: how comfortable these people get that from that generation. She

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Speaker 3: grew up in a depression. She would not spend money,

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Speaker 3: got to try to great. She finds stuff in the garbage,

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Speaker 3: Like on Sunday night, she'll be driving and she'll see

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Speaker 3: something in the garbage. She'll take it and she gesn't

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Speaker 3: a guy named Mario who fixes it. So she found

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Speaker 3: her hearing aid in the garbage. You take her for

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Speaker 3: a walk. Within three minutes, you have a pack of

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Speaker 3: dogs following you.

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Speaker 6: Okay.

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Speaker 8: So it's like and she had this way of running

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Speaker 8: her business.

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Speaker 6: It was like from another planet.

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Speaker 8: Right, So she you know, you have a business, you have.

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Speaker 3: Filing cabinet, you have paperwork. But no, no, no, she

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Speaker 3: don't want to spend money on filing cabinets. So she

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Speaker 3: has coolers gyrophone coolers that she bought at Walmart. And

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Speaker 3: then she writes on the outside with in the cooler

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Speaker 3: and she puts her different paperwork and like ten different cools.

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Speaker 3: When she gets audited, looks like she's going on a picnic. Okay,

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Speaker 3: It's just it's.

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Speaker 1: It's like I could just picture her office, Paul. It

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Speaker 1: looks like in everyone's office is this way. When the

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Speaker 1: like the FBI comes in to do a raid, it's

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Speaker 1: always in disarray.

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Speaker 5: Like if you watch those cops. You ever noticed, like

403
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Speaker 5: watching all of.

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Speaker 1: Those detective show where somebody gets murdered, I get down

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Speaker 1: rabbit holes and no one has like everyone who gets

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Speaker 1: murdered or murder has a clean house.

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Speaker 5: It's always an a.

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Speaker 6: God, how how do you know?

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Speaker 3: Like literally, she'd have like catalogs backed up of different furniture, right,

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Speaker 3: and she'd be like, oh, I think I know what

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Speaker 3: she's like. And then all of a sudden, like in

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Speaker 3: the middle of a stack, there's a ham sandwich from

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Speaker 3: five eight years ago.

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Speaker 6: Right, but man, you hit it on the head.

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Speaker 3: So this was our house growing up, right, because the

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Speaker 3: focus of our lives was this score.

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Speaker 6: So like you think of town, we're Italian.

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Speaker 3: Besides time you think Italian, you think you know the

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Speaker 3: super neat house, the plastic on the furniture, you know that.

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Speaker 1: Whole lot of gold, a lot of gold, a lot

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Speaker 1: of gold, a.

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Speaker 5: Lot, a lot of lot of gold.

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Speaker 1: I'm Italian. I get a lot of gold, a lot

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Speaker 1: of gold, a lot of garlic.

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Speaker 8: Smells everything smells the garlic.

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Speaker 5: There you go.

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Speaker 3: So so our house was the opposite. It was literally

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Speaker 3: like you just described, it was just like a Cso

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Speaker 3: I see, like this was insane.

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Speaker 1: And your mom still going, I think that's fantastic. Ninety

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Speaker 1: six years old, salute.

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Speaker 6: Oh come on stockeso, Oh my god. Yeah.

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Speaker 3: You go into a refrigerator you want to get like

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Speaker 3: some half and half to your carver.

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Speaker 6: What do I look to the right. The entire door

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Speaker 6: is filled with batteries, batteries, and I'm like, mom, what

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Speaker 6: are you doing.

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00:21:31,400 --> 00:21:34,480
Speaker 3: She goes, well, these new bet no, they're old batteries,

439
00:21:34,600 --> 00:21:37,399
Speaker 3: and she's trying to recharge them by putting them in

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Speaker 3: the refrigerator. She's like cryogenically freezing batteries until they come

441
00:21:42,920 --> 00:21:48,080
Speaker 3: back to life, like some mad scientists like she.

442
00:21:48,200 --> 00:21:49,920
Speaker 6: We had to take her license away. You want to

443
00:21:50,000 --> 00:21:52,160
Speaker 6: know why why she hit a tree with her car?

444
00:21:52,480 --> 00:21:53,439
Speaker 6: You know where the tree was?

445
00:21:53,560 --> 00:21:54,840
Speaker 8: In her own front yard?

446
00:21:55,000 --> 00:21:58,560
Speaker 6: Man, she hit a tree in her own front yard.

447
00:21:58,920 --> 00:22:03,880
Speaker 5: Okay, the fact your mom's ninety six.

448
00:22:03,920 --> 00:22:07,040
Speaker 1: For guys, I don't know how because my people are

449
00:22:07,040 --> 00:22:11,800
Speaker 1: Italian too, and you look at the food that we eat, pizza, spaghetti,

450
00:22:12,000 --> 00:22:16,120
Speaker 1: and a lot of cheese and oil and more cheese,

451
00:22:16,359 --> 00:22:19,040
Speaker 1: and the lunch meat alone, right, more than Della, you

452
00:22:19,119 --> 00:22:19,760
Speaker 1: got pursued it.

453
00:22:19,880 --> 00:22:22,560
Speaker 5: You got all this fatty, high fat, color.

454
00:22:22,600 --> 00:22:25,119
Speaker 1: Awful food that tells you you're gonna die if you

455
00:22:25,119 --> 00:22:25,720
Speaker 1: eat this stuff.

456
00:22:25,720 --> 00:22:28,160
Speaker 5: And yet she's ninety six, God bless her.

457
00:22:28,720 --> 00:22:31,840
Speaker 1: I don't know how Italians, because you know you're you're

458
00:22:31,840 --> 00:22:36,040
Speaker 1: bringing back childhood memories here for me, how Italians live longer?

459
00:22:36,400 --> 00:22:38,520
Speaker 5: Like I can't believe we make it til sixteen.

460
00:22:39,040 --> 00:22:41,840
Speaker 1: Nice, It's like all the preservatives and just I don't

461
00:22:41,880 --> 00:22:42,520
Speaker 1: know what it is.

462
00:22:42,960 --> 00:22:45,560
Speaker 3: The cheeses and the fats, and then the bread, and

463
00:22:46,040 --> 00:22:48,360
Speaker 3: here have some bread with your bread and the pasta,

464
00:22:48,400 --> 00:22:50,600
Speaker 3: and then have pasta with your Like, how do you like?

465
00:22:51,119 --> 00:22:53,040
Speaker 3: My mother got a health kicked for a little while,

466
00:22:53,119 --> 00:22:56,080
Speaker 3: and she was like putting raisins and things like. She

467
00:22:56,280 --> 00:22:58,240
Speaker 3: was like she like put them in an apple pot,

468
00:22:58,440 --> 00:23:00,879
Speaker 3: and like we just eat it. You don't listen to me.

469
00:23:01,119 --> 00:23:03,280
Speaker 3: Here's the thing about raisins. You don't put raisins in

470
00:23:03,320 --> 00:23:05,679
Speaker 3: an oatmealk cookie. You don't put them in a muffin.

471
00:23:05,760 --> 00:23:06,960
Speaker 3: You know where you put them. You put them in

472
00:23:06,960 --> 00:23:10,640
Speaker 3: the toilet. Okay, they're raisin. Okay, think about it. What's

473
00:23:10,680 --> 00:23:13,080
Speaker 3: a raisin? A raisin is just a grape that couldn't

474
00:23:13,119 --> 00:23:16,760
Speaker 3: cut it as a grape. Okay, I mean right, I.

475
00:23:16,680 --> 00:23:19,359
Speaker 6: Didn't like you as a pretty red grape. I'm gonna

476
00:23:19,400 --> 00:23:20,960
Speaker 6: like you as a wrinkly brown raisin.

477
00:23:21,080 --> 00:23:22,320
Speaker 8: Come on, they put.

478
00:23:22,200 --> 00:23:24,159
Speaker 3: Them in that red box with that young girl on

479
00:23:24,200 --> 00:23:26,359
Speaker 3: the outside. You look inside. It's an old asi home

480
00:23:26,440 --> 00:23:27,680
Speaker 3: for fruit. That's all it is.

481
00:23:28,119 --> 00:23:34,040
Speaker 5: That's all it is. Oh that's good. I'm gonna steal that.

482
00:23:34,040 --> 00:23:37,480
Speaker 5: That's really that's You can't know it. Yeah, it's like yeah, right,

483
00:23:37,520 --> 00:23:39,480
Speaker 5: it's and the other thing.

484
00:23:39,800 --> 00:23:42,000
Speaker 3: The other thing my mother would do was like because

485
00:23:42,040 --> 00:23:44,040
Speaker 3: we had no money, like we had money, but she

486
00:23:44,119 --> 00:23:46,200
Speaker 3: pretended like we did. We were fine, like we were

487
00:23:46,240 --> 00:23:48,080
Speaker 3: you know, middle class, we had a business. We weren't

488
00:23:48,080 --> 00:23:50,320
Speaker 3: we're super rich, we refined. But she was always like

489
00:23:50,920 --> 00:23:54,879
Speaker 3: nickel and diamond, right, so Christmas, she or Bertha, she

490
00:23:54,960 --> 00:23:58,680
Speaker 3: would always like try to pass off something like cheap

491
00:23:58,760 --> 00:23:59,960
Speaker 3: as something like high end.

492
00:24:00,040 --> 00:24:02,520
Speaker 6: And so like one time she gave me she could go.

493
00:24:02,600 --> 00:24:04,720
Speaker 3: By the way and like didn't even care about sizes,

494
00:24:04,800 --> 00:24:07,600
Speaker 3: like she'd give you. She'd give you like a triple xcel.

495
00:24:07,720 --> 00:24:09,920
Speaker 3: It's like dragging on the floor for a sweater because

496
00:24:09,960 --> 00:24:11,320
Speaker 3: it was on sale at TJ.

497
00:24:11,480 --> 00:24:11,680
Speaker 4: Mack.

498
00:24:12,200 --> 00:24:16,720
Speaker 6: And so so she gives me, she goes, look I

499
00:24:16,720 --> 00:24:19,960
Speaker 6: got you. I got you a Ralph Laudden PULLU sweater.

500
00:24:20,000 --> 00:24:21,680
Speaker 3: And I'm like, oh wow, this is like the ruff

501
00:24:22,000 --> 00:24:24,320
Speaker 3: and I look closer in the you know, the little

502
00:24:24,320 --> 00:24:28,320
Speaker 3: emblem instead of like a jock on a horse with

503
00:24:28,440 --> 00:24:32,280
Speaker 3: like the mallet. It was a knockoff, okay it was.

504
00:24:32,520 --> 00:24:34,080
Speaker 3: It was an eight year old kid on a great

505
00:24:34,119 --> 00:24:39,440
Speaker 3: thing with a broom. Okay, that's what the emblem.

506
00:24:40,560 --> 00:24:43,720
Speaker 1: But it's about the mail you. It's it's oh, that's

507
00:24:43,800 --> 00:24:44,679
Speaker 1: all that is.

508
00:24:44,920 --> 00:24:46,040
Speaker 5: That's awesome, it is.

509
00:24:46,080 --> 00:24:48,560
Speaker 6: Don't tell me always like the thought that comes. No,

510
00:24:48,800 --> 00:24:49,800
Speaker 6: I want good gifts.

511
00:24:50,000 --> 00:24:54,240
Speaker 5: Okay, that's right, you got You're you're gonna be what Yeah, And.

512
00:24:54,440 --> 00:24:56,160
Speaker 8: I'm gonna and I'm yeah, I'm gonna.

513
00:24:56,320 --> 00:24:59,160
Speaker 3: I'm gonna like so why I'm my sister in law.

514
00:24:59,680 --> 00:25:02,720
Speaker 3: Whenever my birthday's coming, I know what I'm getting from

515
00:25:02,720 --> 00:25:05,920
Speaker 3: her because she's so she she gives me every birthday

516
00:25:05,960 --> 00:25:08,040
Speaker 3: and every Christmas, and she gives me she gives me

517
00:25:08,080 --> 00:25:12,920
Speaker 3: a two dollars lottery ticket, a two dollars lottery ticket. Okay, nothing,

518
00:25:13,280 --> 00:25:15,440
Speaker 3: Scott says, I care about you less than a one

519
00:25:15,440 --> 00:25:17,879
Speaker 3: in four hundred million chance of getting a gift.

520
00:25:19,520 --> 00:25:22,119
Speaker 6: And then and then she I'm not making this up.

521
00:25:22,160 --> 00:25:24,640
Speaker 6: She put it in a greeting card. And the greeting

522
00:25:24,680 --> 00:25:25,959
Speaker 6: card was eight dollars.

523
00:25:26,040 --> 00:25:26,880
Speaker 4: The card was.

524
00:25:26,880 --> 00:25:29,439
Speaker 3: Four times the price of the gift.

525
00:25:31,240 --> 00:25:32,160
Speaker 4: And people are fired.

526
00:25:32,280 --> 00:25:34,640
Speaker 1: I know people in my family they get the scratch offs,

527
00:25:34,680 --> 00:25:36,879
Speaker 1: and it's I don't get the scratch off thing to me.

528
00:25:36,920 --> 00:25:39,679
Speaker 5: I don't get It's just they're just messy, losing tickets.

529
00:25:39,680 --> 00:25:42,600
Speaker 3: You know what I mean, all you're doing is like,

530
00:25:43,040 --> 00:25:45,679
Speaker 3: here's something you probably won't get a gift out of it.

531
00:25:45,680 --> 00:25:47,800
Speaker 6: And if you do, I'm gonna sue you for half

532
00:25:47,880 --> 00:25:51,560
Speaker 6: of it. Like that's the gift. You're giving me a lawsuit.

533
00:25:51,920 --> 00:25:53,760
Speaker 6: You're giving me a frigging lawsuit.

534
00:25:55,640 --> 00:25:59,640
Speaker 5: Facts, absolute facts. That is fantastic.

535
00:26:00,960 --> 00:26:03,080
Speaker 1: All right, you're in New York. You're doing Colbert. That's

536
00:26:03,119 --> 00:26:06,600
Speaker 1: that's wrapping up. You screwed that up? Yeah, what's expect

537
00:26:06,720 --> 00:26:07,960
Speaker 1: You got any specials come up?

538
00:26:09,400 --> 00:26:09,600
Speaker 7: Yeah?

539
00:26:09,640 --> 00:26:10,560
Speaker 6: We're doing well.

540
00:26:10,600 --> 00:26:13,200
Speaker 3: I've got this Broadway off Broadway show that I've been doing,

541
00:26:13,240 --> 00:26:16,600
Speaker 3: directed by Frank Oz called Permission to Speak, that we're

542
00:26:16,600 --> 00:26:19,000
Speaker 3: taking out on tour. We were doing it in the

543
00:26:19,040 --> 00:26:22,040
Speaker 3: city and uh so that's the and and then also

544
00:26:22,240 --> 00:26:25,600
Speaker 3: going to bring it to uh to a platform, uh

545
00:26:26,040 --> 00:26:30,040
Speaker 3: probably Apple TV. It's looking like but we or Netflix

546
00:26:30,160 --> 00:26:33,000
Speaker 3: and it's been great, you know, and the city has

547
00:26:33,040 --> 00:26:36,720
Speaker 3: been They got this thing now with the city though, it's.

548
00:26:36,640 --> 00:26:40,120
Speaker 6: Just like bikes. Bloomberg was our mayor and he put

549
00:26:40,160 --> 00:26:42,680
Speaker 6: bike lanes in everywhere. I don't know if you've got

550
00:26:42,680 --> 00:26:43,800
Speaker 6: that in Cincinnati now.

551
00:26:44,040 --> 00:26:46,120
Speaker 8: A lot of yeah, okay, well, you know what here's

552
00:26:46,119 --> 00:26:46,480
Speaker 8: the thing.

553
00:26:46,359 --> 00:26:48,560
Speaker 3: About people on a bike. Okay, you know what, I

554
00:26:48,560 --> 00:26:51,240
Speaker 3: don't like you. I don't like you, and I'm never

555
00:26:51,280 --> 00:26:54,040
Speaker 3: gonna like you. And here's why. Because bikers are obnoxious.

556
00:26:54,080 --> 00:26:56,760
Speaker 3: They want it both ways. They want to violate every

557
00:26:56,800 --> 00:26:59,840
Speaker 3: traffic log. Go the wrong direction, go through on this,

558
00:27:00,200 --> 00:27:03,040
Speaker 3: you go through an intersection, okay, but god forbid, if

559
00:27:03,080 --> 00:27:05,720
Speaker 3: you're walking or you're driving and you like make one

560
00:27:05,880 --> 00:27:07,439
Speaker 3: little mistake, they scream at you.

561
00:27:07,520 --> 00:27:08,879
Speaker 6: Okay, I don't like you.

562
00:27:08,920 --> 00:27:11,760
Speaker 3: Want to buy And guys who ride bike, here's a

563
00:27:11,760 --> 00:27:15,080
Speaker 3: little tip for you. Stop wearing those sausage casing shorts

564
00:27:15,080 --> 00:27:18,720
Speaker 3: that are so tight okay that the fattest spilling over.

565
00:27:18,800 --> 00:27:21,840
Speaker 6: You're not lay its armstrong. Just wear loose shorts. Wear

566
00:27:21,920 --> 00:27:22,600
Speaker 6: loose shorts.

567
00:27:22,640 --> 00:27:25,879
Speaker 3: You're a middle Asian surance salesman who lives in the suburbs.

568
00:27:25,920 --> 00:27:28,200
Speaker 6: That's what you are. You're not going to be anythymore.

569
00:27:28,480 --> 00:27:30,560
Speaker 1: We have the problem with people no one hundred percent

570
00:27:30,600 --> 00:27:32,399
Speaker 1: about like when they want to be a bicycle, it's

571
00:27:32,440 --> 00:27:34,640
Speaker 1: then it's bicycle rules. But then sometimes like I'm gonna

572
00:27:34,640 --> 00:27:36,000
Speaker 1: be a car and go through that, you know, turn

573
00:27:36,080 --> 00:27:37,760
Speaker 1: right on red or whatever and cut out in the middle.

574
00:27:37,840 --> 00:27:39,400
Speaker 1: Driving down the L one hundred percent is like either

575
00:27:39,440 --> 00:27:40,320
Speaker 1: your a bike or your car.

576
00:27:40,400 --> 00:27:45,720
Speaker 5: Pick one. Yes, right, stay little, stay and stay in

577
00:27:45,720 --> 00:27:46,760
Speaker 5: you no abuddy.

578
00:27:46,920 --> 00:27:51,359
Speaker 1: Paul mccurio, nationally common actional turn comic, also a Colbert Shows.

579
00:27:51,359 --> 00:27:53,359
Speaker 1: We've been joking about it's gonna be a Go Banana.

580
00:27:53,400 --> 00:27:55,200
Speaker 1: So it's gonna be a wet weekend. It's wet in

581
00:27:55,200 --> 00:27:55,520
Speaker 1: New York.

582
00:27:55,520 --> 00:27:55,800
Speaker 5: It's wet.

583
00:27:55,840 --> 00:27:58,280
Speaker 1: It's wet everywhere right now, looking to do something inside

584
00:27:58,280 --> 00:28:01,080
Speaker 1: tomorrow and Saturday at Go Banana's.

585
00:28:01,200 --> 00:28:01,560
Speaker 7: Uh, go.

586
00:28:03,240 --> 00:28:06,280
Speaker 5: Banana? What the hell's the website? You're getting the right webtion?

587
00:28:07,200 --> 00:28:09,160
Speaker 8: Okay, this is how you host the show.

588
00:28:09,359 --> 00:28:11,800
Speaker 5: Really, you know, No, there's no one listening.

589
00:28:11,920 --> 00:28:19,560
Speaker 1: I think I don't even know if I'm it's really weird.

590
00:28:19,600 --> 00:28:21,480
Speaker 1: I mean you Here's the thing about stand up right

591
00:28:21,560 --> 00:28:25,480
Speaker 1: and having some experience doing it, is you get instant feedback. Right,

592
00:28:25,520 --> 00:28:28,960
Speaker 1: you say something that's funny or like make people gasp,

593
00:28:29,000 --> 00:28:31,320
Speaker 1: and you get this ray. I sit in a room

594
00:28:31,400 --> 00:28:33,840
Speaker 1: Paul by myself for three hours and I talk. I

595
00:28:33,880 --> 00:28:36,120
Speaker 1: have no idea if they even pay the electric bill,

596
00:28:36,160 --> 00:28:38,320
Speaker 1: like if this is going out on the stream or on.

597
00:28:38,280 --> 00:28:40,520
Speaker 5: The top whatever it is. I mean, I do this.

598
00:28:41,360 --> 00:28:42,400
Speaker 5: I don't. I don't know.

599
00:28:42,520 --> 00:28:44,120
Speaker 1: Maybe I get a phone call once in a while

600
00:28:44,160 --> 00:28:46,160
Speaker 1: to to validate myself, but generally I just sit here

601
00:28:46,160 --> 00:28:48,640
Speaker 1: in a boxer. It's the stupidest job for growing mad.

602
00:28:48,680 --> 00:28:52,120
Speaker 1: I mean, a complete dumb ass for like thirty years. No,

603
00:28:52,200 --> 00:28:53,240
Speaker 1: but you're great at it.

604
00:28:53,320 --> 00:28:56,960
Speaker 3: Com On, you know, listen, I know we you know,

605
00:28:57,000 --> 00:28:58,080
Speaker 3: we all feel bad for you.

606
00:28:58,160 --> 00:29:00,040
Speaker 6: So that's what you So.

607
00:29:00,120 --> 00:29:02,240
Speaker 1: I was like, well, you know you got your last

608
00:29:02,240 --> 00:29:04,520
Speaker 1: gut ba, I'll get Marcia. Okay, he'll do anything, You'll

609
00:29:04,560 --> 00:29:06,120
Speaker 1: do anything exactly anything, but.

610
00:29:06,120 --> 00:29:08,240
Speaker 8: You know, you know, I mean, the comedy is fine.

611
00:29:08,280 --> 00:29:11,120
Speaker 3: And then you know from from doing standing up and

612
00:29:11,160 --> 00:29:13,560
Speaker 3: stuff like some stuff you write and it takes forever,

613
00:29:13,640 --> 00:29:15,760
Speaker 3: and then stuff stuff, some stuff just comes to you

614
00:29:15,680 --> 00:29:18,680
Speaker 3: and you get lucky. Like I was thinking, like the

615
00:29:18,760 --> 00:29:21,280
Speaker 3: other day, I don't know, like I needed to use

616
00:29:21,320 --> 00:29:24,120
Speaker 3: some basoline and I'm like, and then it hit me, like,

617
00:29:24,720 --> 00:29:28,400
Speaker 3: how do people make vasoline make any money? I've had

618
00:29:28,440 --> 00:29:33,560
Speaker 3: the same tub of vasoline for like thirty right, think

619
00:29:33,600 --> 00:29:36,320
Speaker 3: of people listening right now, think about it, Like my

620
00:29:36,480 --> 00:29:39,560
Speaker 3: basoline was handed down to me by my grandfather in

621
00:29:39,640 --> 00:29:45,040
Speaker 3: a will. You've never heard this phrase uttered ever in

622
00:29:45,120 --> 00:29:46,280
Speaker 3: the history of mankind.

623
00:29:46,400 --> 00:29:50,120
Speaker 6: Honey, I'm going out to get more vasoline. You you could.

624
00:29:49,880 --> 00:29:52,840
Speaker 3: Go through thirty thousand bags of garbage. You're not going

625
00:29:52,920 --> 00:29:54,000
Speaker 3: to find one emptycause they.

626
00:29:54,000 --> 00:29:54,800
Speaker 6: Are a vassiline.

627
00:29:54,880 --> 00:29:55,120
Speaker 7: You're not.

628
00:29:55,360 --> 00:29:56,080
Speaker 5: Doesn't spoil it.

629
00:29:56,200 --> 00:29:59,520
Speaker 3: I greased my brakes with basoline. I still have eighty

630
00:29:59,560 --> 00:30:01,840
Speaker 3: percent containing which packs.

631
00:30:01,840 --> 00:30:03,640
Speaker 5: The question, how are they still in business? They don't

632
00:30:03,680 --> 00:30:04,440
Speaker 5: sell anything new?

633
00:30:05,480 --> 00:30:07,040
Speaker 6: Exactly right, it's.

634
00:30:06,920 --> 00:30:07,720
Speaker 5: Still you can go.

635
00:30:07,880 --> 00:30:10,640
Speaker 1: I'm sure there's vaseline and has anyone ever shopped for vasolene?

636
00:30:10,680 --> 00:30:11,600
Speaker 5: I don't think I ever have.

637
00:30:12,960 --> 00:30:15,440
Speaker 3: Mine has a brown label on it to go crinkly

638
00:30:15,560 --> 00:30:16,840
Speaker 3: and I'm falling off.

639
00:30:17,560 --> 00:30:18,960
Speaker 5: It's like that amber glass.

640
00:30:19,000 --> 00:30:22,000
Speaker 1: Like the apothecaries and have the drugs and they mister

641
00:30:22,080 --> 00:30:23,360
Speaker 1: Goward mix it up in the back.

642
00:30:23,440 --> 00:30:27,280
Speaker 6: It's like, what a great reference.

643
00:30:28,720 --> 00:30:30,640
Speaker 1: All right, Paul, I got you gotta I know you

644
00:30:30,640 --> 00:30:31,440
Speaker 1: gotta get going, buddy.

645
00:30:31,400 --> 00:30:36,000
Speaker 5: I appreciate you. Man have fun macurial kills. He's funny.

646
00:30:36,000 --> 00:30:38,280
Speaker 1: If you if you're looking for something to do Tomorrow

647
00:30:38,360 --> 00:30:41,360
Speaker 1: and Saturday night, go Banata Scott Sloan Show seven hundred

648
00:30:41,440 --> 00:30:45,840
Speaker 1: W Sloan Here, seven hundred W l W. The weekend

649
00:30:45,960 --> 00:30:47,960
Speaker 1: is insight a wet one to that as a matter

650
00:30:48,000 --> 00:30:50,480
Speaker 1: of fact, but hey, you got something to do.

651
00:30:50,520 --> 00:30:52,440
Speaker 5: They go to Coco. See my buddy, Paul.

652
00:30:52,320 --> 00:30:55,360
Speaker 1: Mccurial, thanks for our friends at Dorothy Lane Market. I've

653
00:30:55,400 --> 00:30:57,440
Speaker 1: told you about made right here. When it comes to

654
00:30:57,520 --> 00:30:59,960
Speaker 1: d l M, they have a new line of smoke

655
00:31:00,200 --> 00:31:03,040
Speaker 1: right here meats. They have in house pit masters. They

656
00:31:03,040 --> 00:31:05,040
Speaker 1: don't know, like farm this stuff out or have I

657
00:31:05,080 --> 00:31:06,840
Speaker 1: don't know, some high school kids do it. They actually

658
00:31:06,920 --> 00:31:11,880
Speaker 1: hire like real pizziolas to cook Napolitan Neapolitan style pizza.

659
00:31:11,920 --> 00:31:15,680
Speaker 1: They have real pitmasters and seafood experts and everything out.

660
00:31:15,760 --> 00:31:19,720
Speaker 1: So they smoked the food right there. They're doing pulled chicken,

661
00:31:19,840 --> 00:31:22,920
Speaker 1: which they brought in was absolutely fantastic. There are chilled

662
00:31:23,000 --> 00:31:26,080
Speaker 1: chicken smoked right here. Selections are in store at the

663
00:31:26,080 --> 00:31:29,680
Speaker 1: original location, of course in Dayton and the new one

664
00:31:30,120 --> 00:31:33,479
Speaker 1: at the Western RM Mason Montgomery in Mason. So the

665
00:31:33,480 --> 00:31:37,680
Speaker 1: green beans are excellent, and we crushed the crusty mac

666
00:31:37,760 --> 00:31:41,520
Speaker 1: and cheese and homestyle coleslaw as well. Also, they brought

667
00:31:41,520 --> 00:31:44,239
Speaker 1: in a apple pie Gramati Biaus apple pie, which, by

668
00:31:44,280 --> 00:31:47,280
Speaker 1: the way, I picked one of these things up. I

669
00:31:47,280 --> 00:31:50,320
Speaker 1: almost blow out a bicep. It is the heaviest pie.

670
00:31:50,440 --> 00:31:52,160
Speaker 1: I mean it's regular, what's a pie, nine inch pie,

671
00:31:52,160 --> 00:31:56,880
Speaker 1: crust warm, and you pick it up like weighs forty pounds.

672
00:31:57,000 --> 00:32:01,320
Speaker 1: It's insane and if you think that's saying, it tastes

673
00:32:01,320 --> 00:32:04,160
Speaker 1: insanely good too. So Dorothy Lane Market, thanks again Dorothy

674
00:32:04,240 --> 00:32:06,880
Speaker 1: Lane dot com if you haven't been there. It is

675
00:32:06,920 --> 00:32:08,800
Speaker 1: a treat for your mouth. A good thing to do

676
00:32:08,840 --> 00:32:11,920
Speaker 1: this weekend, perhaps too because it's inside, other than running

677
00:32:11,920 --> 00:32:14,600
Speaker 1: from the car to the inside. But you got your cover.

678
00:32:14,640 --> 00:32:15,040
Speaker 5: They're working.

679
00:32:15,040 --> 00:32:17,600
Speaker 1: I actually making it somehow when you walk from your car,

680
00:32:17,680 --> 00:32:19,480
Speaker 1: doesn't the rain doesn't hit you. I'm sure that'll be

681
00:32:19,480 --> 00:32:22,160
Speaker 1: the next great thing that they do. They're perfect in

682
00:32:22,200 --> 00:32:24,040
Speaker 1: every way. News on the wait about three here on

683
00:32:24,080 --> 00:32:28,960
Speaker 1: seven hundred WLW when a return. We've kind of got

684
00:32:28,960 --> 00:32:31,800
Speaker 1: a confluence of Our next hour is gonna be more

685
00:32:31,800 --> 00:32:34,440
Speaker 1: helpful it. I got Sonjay Shafercromani coming in our er

686
00:32:34,520 --> 00:32:37,200
Speaker 1: doc and he's at dine Well Dock and we're going

687
00:32:37,240 --> 00:32:39,320
Speaker 1: to talk about the protein curse. Specifically, we have the

688
00:32:39,360 --> 00:32:41,320
Speaker 1: burger wars that are out and just see this, we

689
00:32:41,400 --> 00:32:44,320
Speaker 1: have the war on Burgers happening. Well, that war on

690
00:32:44,320 --> 00:32:47,680
Speaker 1: Burger's war amongst burger. So it's McDonald's burger King, Wendy's

691
00:32:47,720 --> 00:32:51,600
Speaker 1: launching new products, and Mickey D's doing a fifty six

692
00:32:51,720 --> 00:32:55,760
Speaker 1: gram protein burger over a thousand calaries of that bad boy.

693
00:32:56,320 --> 00:32:58,800
Speaker 1: And of course we're in the protein craze. Remember back

694
00:32:58,840 --> 00:33:00,480
Speaker 1: in the day, it was sugar free. I think sugar

695
00:33:00,640 --> 00:33:02,240
Speaker 1: to get sugar free, but I rely sugar free, and

696
00:33:02,280 --> 00:33:07,000
Speaker 1: then we had the low carb and now it's more like, hey,

697
00:33:07,040 --> 00:33:08,760
Speaker 1: we're gonna push a lot of protein. There's always a

698
00:33:08,760 --> 00:33:10,880
Speaker 1: new health trend out there to sell you on how

699
00:33:10,960 --> 00:33:13,400
Speaker 1: much do you need and what sources do you need?

700
00:33:13,680 --> 00:33:15,719
Speaker 1: Is red meat really that bad for you? He's got

701
00:33:15,760 --> 00:33:17,720
Speaker 1: the answers coming up at ten thirty five this morning

702
00:33:17,760 --> 00:33:20,160
Speaker 1: after the break after news, though, we will keep it

703
00:33:20,200 --> 00:33:24,640
Speaker 1: somewhat health related here, as OURFK has come out and

704
00:33:24,800 --> 00:33:27,719
Speaker 1: declared she had against Dunkin Donuts and Starbucks for all

705
00:33:27,720 --> 00:33:31,040
Speaker 1: the sugar in the coffees they sell you. Oddly enough,

706
00:33:31,120 --> 00:33:35,000
Speaker 1: I'm fine with that, Like, if I know how many

707
00:33:35,000 --> 00:33:37,880
Speaker 1: grams of sugar, how many calories are in a serving

708
00:33:37,920 --> 00:33:40,480
Speaker 1: of what or does they're trying to sell me? I

709
00:33:40,840 --> 00:33:43,200
Speaker 1: need to know that and it's pretty easy to find

710
00:33:43,200 --> 00:33:45,840
Speaker 1: that information out. I'm like years ago, but now it's

711
00:33:46,000 --> 00:33:51,440
Speaker 1: on the menu. It's pretty easy to find that information out.

712
00:33:52,040 --> 00:33:55,760
Speaker 1: There's tremendous backlash today though, that's coming out speaking of drinks,

713
00:33:55,800 --> 00:34:00,120
Speaker 1: sugary drinks, about Snap benefits. So if you're a SNAPS

714
00:34:00,520 --> 00:34:04,360
Speaker 1: as a recipient, that would be food stamps. The new

715
00:34:04,440 --> 00:34:06,680
Speaker 1: orders come out saying you're not allowed. You're not allowed

716
00:34:06,720 --> 00:34:11,720
Speaker 1: to use your Snap benefits public assistance to buy soda.

717
00:34:12,040 --> 00:34:16,520
Speaker 1: You can't buy pop anymore. And you know what, I'm

718
00:34:16,719 --> 00:34:18,960
Speaker 1: really really okay with this. So you're going, well, how that?

719
00:34:18,960 --> 00:34:23,640
Speaker 1: What world do you live in? You're against people using

720
00:34:23,680 --> 00:34:26,919
Speaker 1: SNAP benefits to buy the stuff that kids can go

721
00:34:27,080 --> 00:34:29,840
Speaker 1: and buy themselves with impunity at Starbucks, dug And it

722
00:34:29,840 --> 00:34:31,880
Speaker 1: doesn't make any sense. I will make sense of it

723
00:34:31,960 --> 00:34:35,040
Speaker 1: for you because I try to be consistent. My goal

724
00:34:35,120 --> 00:34:38,919
Speaker 1: is consistently logical in life, and I'll explain how that works.

725
00:34:38,920 --> 00:34:41,160
Speaker 1: Coming up next, Scott Sloan Show, Home of the Reds,

726
00:34:41,680 --> 00:34:44,239
Speaker 1: just slapping the hell out of Cue. Cuba's got to

727
00:34:44,520 --> 00:34:47,440
Speaker 1: tough days head. You get invaded by Florida Rednecks with

728
00:34:47,920 --> 00:34:51,560
Speaker 1: cruise ships. You got, you got the embargo, the crippling.

729
00:34:51,840 --> 00:34:54,560
Speaker 1: Now the Reds just beat the hell out of you yesterday.

730
00:34:55,000 --> 00:34:57,920
Speaker 1: I think it's bad being irand it's really bad being Cuba.

731
00:34:59,080 --> 00:35:01,160
Speaker 1: Hold the red seven WW, Cincinnati.

732
00:35:01,320 --> 00:35:03,440
Speaker 5: Do you want to be an American?

733
00:35:03,640 --> 00:35:07,080
Speaker 1: I know I am the Sloane Salmon. It feels like

734
00:35:07,120 --> 00:35:09,800
Speaker 1: swimming upstream. I just like I don't care if a

735
00:35:09,880 --> 00:35:13,239
Speaker 1: Republican Democrat, I don't care. I want less government in

736
00:35:13,280 --> 00:35:15,359
Speaker 1: my life used to be. That's the way Republicans were.

737
00:35:15,400 --> 00:35:19,040
Speaker 1: Not anymore. Compleat's completely gone out the window, and I

738
00:35:19,040 --> 00:35:22,279
Speaker 1: don't like it at all. So, first of all, welcome

739
00:35:22,320 --> 00:35:26,000
Speaker 1: Scott's loan show. Seven hundred WALLWW. Big issue today, it's

740
00:35:26,000 --> 00:35:28,440
Speaker 1: not even a big issue. Obviously, the born ramsay a

741
00:35:28,520 --> 00:35:31,440
Speaker 1: huge issue. This is another one of those things that

742
00:35:31,480 --> 00:35:34,240
Speaker 1: happens and people go, oh, okay, well it's fine, it's Trump,

743
00:35:34,280 --> 00:35:37,360
Speaker 1: it's good. It's not so the government wants to control

744
00:35:37,440 --> 00:35:43,439
Speaker 1: what is in your cup. Three stories broke this week

745
00:35:43,680 --> 00:35:46,160
Speaker 1: in just the last twenty four hours, and taken separately,

746
00:35:46,280 --> 00:35:49,160
Speaker 1: might seem they're unrelated, but I'll connect the dots and

747
00:35:49,160 --> 00:35:51,319
Speaker 1: you'll get a clear picture of where we're headed. So

748
00:35:51,760 --> 00:35:56,680
Speaker 1: ohhi was banning certain drinks, namely Pop for food Stamp recipients.

749
00:35:57,080 --> 00:36:00,160
Speaker 1: RFK Junior is demanding Duncan and Starbucks proved that our

750
00:36:00,200 --> 00:36:03,920
Speaker 1: ice coffees are not highly chloric, but rather safe to drink.

751
00:36:04,040 --> 00:36:05,280
Speaker 5: Well, I'm safe.

752
00:36:05,400 --> 00:36:08,800
Speaker 1: They've got to prove the product, the ingredients are safe,

753
00:36:09,760 --> 00:36:13,160
Speaker 1: and the FDA's ingredients self certification system is being blown up.

754
00:36:13,239 --> 00:36:16,319
Speaker 1: So it's not a coincidence. And I'll add into that

755
00:36:16,560 --> 00:36:20,080
Speaker 1: maybe a fourth thing here too, that McDonald's, Wendy's, Burger

756
00:36:20,160 --> 00:36:23,240
Speaker 1: King are all upping the burger war game to levels

757
00:36:23,239 --> 00:36:26,160
Speaker 1: we haven't seen probably since the nineteen eighties, and we're

758
00:36:26,160 --> 00:36:30,279
Speaker 1: talking some massive calories in some of these burgers. We

759
00:36:30,320 --> 00:36:32,919
Speaker 1: have a coordinated push to put the government in charge

760
00:36:32,960 --> 00:36:35,600
Speaker 1: of what Americans eat and drink. And the question that

761
00:36:35,680 --> 00:36:39,719
Speaker 1: you need to ask is simple, did will well we

762
00:36:39,880 --> 00:36:43,640
Speaker 1: vote for them to give them that kind of authority?

763
00:36:43,880 --> 00:36:46,200
Speaker 1: All right, So let's start in Ohio and this one

764
00:36:46,280 --> 00:36:50,000
Speaker 1: is already loss. So starting in October October first, Ohio

765
00:36:50,000 --> 00:36:52,839
Speaker 1: SNAP recipients are going to be prohibited from using their

766
00:36:52,880 --> 00:36:55,080
Speaker 1: benefits to buy soda and sugary drinks. So the USDA

767
00:36:55,160 --> 00:36:58,160
Speaker 1: signed off on it, and so it targets any beverage

768
00:36:58,160 --> 00:37:00,680
Speaker 1: that lists sugar cornsrip or high fructose cornshirper is a

769
00:37:00,719 --> 00:37:03,280
Speaker 1: primary or secondary green and you go, well, slow, that's everything.

770
00:37:03,360 --> 00:37:06,120
Speaker 1: So poor people can't eat no, no, no, They will

771
00:37:06,200 --> 00:37:09,359
Speaker 1: change the recipe because they want to sell stuff to

772
00:37:09,440 --> 00:37:12,480
Speaker 1: those people on SNAP benefits. And so the companies will

773
00:37:12,480 --> 00:37:14,800
Speaker 1: react to this because they want to make money. It'll

774
00:37:14,840 --> 00:37:18,479
Speaker 1: fix itself, and multiple states are doing this. I don't

775
00:37:18,480 --> 00:37:20,319
Speaker 1: have a problem with that. You go, well, wait a minute,

776
00:37:20,360 --> 00:37:23,000
Speaker 1: you just told me you're against government getting involved in

777
00:37:23,120 --> 00:37:26,200
Speaker 1: telling us regulating sugary drinks and cracking down a duncan.

778
00:37:26,320 --> 00:37:28,799
Speaker 1: And eventually what's going to happen is it's going to

779
00:37:28,800 --> 00:37:31,320
Speaker 1: be McDonald's, Burger King and Wendy's because of these new burgers.

780
00:37:32,280 --> 00:37:33,040
Speaker 5: Here's the difference.

781
00:37:34,480 --> 00:37:37,680
Speaker 1: If you are working, you are paying the taxes to

782
00:37:37,760 --> 00:37:44,240
Speaker 1: fund SNAP benefits food stamps. Okay, for a long time,

783
00:37:44,719 --> 00:37:47,600
Speaker 1: we should have cracked down on what you can buy

784
00:37:47,600 --> 00:37:51,120
Speaker 1: with said food stamps. It's kind of like Social Security

785
00:37:52,040 --> 00:37:55,440
Speaker 1: in a sense in that social Security is not designed

786
00:37:55,480 --> 00:37:58,319
Speaker 1: for you to live comfortably retired. So you can go

787
00:37:58,360 --> 00:38:00,520
Speaker 1: on two vacations a year and have a golf CLB membership.

788
00:38:00,560 --> 00:38:04,200
Speaker 1: Now that's not it's basically to keep you alive. It's

789
00:38:04,280 --> 00:38:09,400
Speaker 1: bare bones. Anything you make above that is meant for

790
00:38:09,600 --> 00:38:14,520
Speaker 1: those purposes. It's it's a bare minimum, same for snap

791
00:38:16,040 --> 00:38:18,600
Speaker 1: and it's not prison enough calories to keep you alive

792
00:38:18,680 --> 00:38:21,239
Speaker 1: per se. But I've for a long time event told

793
00:38:21,280 --> 00:38:22,920
Speaker 1: you about the government by the same ones ago you

794
00:38:22,960 --> 00:38:25,439
Speaker 1: shouldn't eat this, you shouldn't drink that. I should say, okay,

795
00:38:25,480 --> 00:38:28,880
Speaker 1: But my tax money, our tax money, goes to feed

796
00:38:28,920 --> 00:38:32,719
Speaker 1: people foods that will kill them, foods that will cause diabetes,

797
00:38:33,120 --> 00:38:36,840
Speaker 1: foods that will cause them to spend more money on medicine,

798
00:38:36,960 --> 00:38:41,120
Speaker 1: medical care that's already overwhelmed. That sucks for all of us,

799
00:38:41,239 --> 00:38:45,319
Speaker 1: regardless figure on public assistance. And it just makes the

800
00:38:45,320 --> 00:38:47,560
Speaker 1: crisis worse. So we complain about how bad the healthcare

801
00:38:47,600 --> 00:38:50,799
Speaker 1: system is, it's overburdened and overstressed, and yet are the

802
00:38:50,800 --> 00:38:54,200
Speaker 1: same tax money goes to give people provide people a

803
00:38:54,280 --> 00:38:58,560
Speaker 1: diet that puts them in harm's way medicinally speaking, Does.

804
00:38:58,440 --> 00:38:59,040
Speaker 5: That makes sense?

805
00:38:59,440 --> 00:39:02,520
Speaker 1: It's it's it's the dumbest thing ever. It's like we

806
00:39:02,560 --> 00:39:05,040
Speaker 1: complain about high froct torst cone shurep cours. We we

807
00:39:05,239 --> 00:39:07,319
Speaker 1: it's a horrible tobal thing, and then all our tax

808
00:39:07,360 --> 00:39:11,400
Speaker 1: money goes to farmers who produce the corn to keep

809
00:39:11,440 --> 00:39:13,640
Speaker 1: the corn brais low so they can make more high

810
00:39:13,640 --> 00:39:17,799
Speaker 1: for dose cards. Rup won't wait what Yeah, it's like

811
00:39:17,880 --> 00:39:21,160
Speaker 1: the government puts a humidifier in a dehumidifier against each

812
00:39:21,200 --> 00:39:22,919
Speaker 1: other and just turns it out and see who wins.

813
00:39:23,440 --> 00:39:27,279
Speaker 1: That's what it feels like. So yeah, I think we

814
00:39:27,320 --> 00:39:28,839
Speaker 1: should be doing it. I think it should be. Okay,

815
00:39:28,880 --> 00:39:30,520
Speaker 1: unless you can buy whole foods, you can buy this,

816
00:39:30,560 --> 00:39:32,880
Speaker 1: say you go, well, well, the problem is is the

817
00:39:32,920 --> 00:39:35,839
Speaker 1: convenience stores that are located in these poor neighborhoods, they

818
00:39:35,840 --> 00:39:39,360
Speaker 1: don't stalk that stuff. You're right, So do the people

819
00:39:39,400 --> 00:39:42,160
Speaker 1: starve if they can't eat cheetos and drink pop? Now,

820
00:39:42,160 --> 00:39:44,680
Speaker 1: what will happen is so someone will have be forced

821
00:39:44,680 --> 00:39:46,880
Speaker 1: them to open a store in there because we complain

822
00:39:46,880 --> 00:39:49,239
Speaker 1: about food deserts, and that would rectify the problem. The

823
00:39:49,239 --> 00:39:51,600
Speaker 1: fact that the government is fueling this whole food desert

824
00:39:51,600 --> 00:39:55,640
Speaker 1: thing is a huge issue. So what about Duncan the

825
00:39:55,719 --> 00:40:02,839
Speaker 1: Duncan and soon to be here burger chains. Okay, so

826
00:40:02,920 --> 00:40:04,480
Speaker 1: maybe you're in you're listening to go Okay, well that

827
00:40:04,560 --> 00:40:06,759
Speaker 1: that kind of makes sense. Why should taxpayer money pay

828
00:40:06,760 --> 00:40:10,959
Speaker 1: for Mountain do That's a fair instinct. The difference here, though,

829
00:40:11,000 --> 00:40:14,839
Speaker 1: when it comes to Snap benefits and dunkin Donuts, which

830
00:40:14,840 --> 00:40:17,240
Speaker 1: I don't think they take Snap I have no idea,

831
00:40:19,320 --> 00:40:21,840
Speaker 1: is the fact that this is money that you earned.

832
00:40:22,120 --> 00:40:24,920
Speaker 1: Now the see saying specifically kids and teenagers. But hold

833
00:40:24,960 --> 00:40:27,200
Speaker 1: on a second, that's money you earn. But by giving

834
00:40:27,239 --> 00:40:30,399
Speaker 1: your kids an allowance or saying hey, here's my credit card,

835
00:40:31,600 --> 00:40:34,399
Speaker 1: you give them license to spend that money on will

836
00:40:34,440 --> 00:40:37,600
Speaker 1: stuff like this. So that is a parental choice, like,

837
00:40:37,600 --> 00:40:39,319
Speaker 1: for example, if you allow your kid to be on

838
00:40:39,360 --> 00:40:42,400
Speaker 1: social media. Okay, we know the pitfalls and dangers of

839
00:40:42,480 --> 00:40:44,120
Speaker 1: social media. We were on the ad saying you want

840
00:40:44,160 --> 00:40:46,800
Speaker 1: to sue Facebook, here you go, here's our number calls

841
00:40:47,080 --> 00:40:49,160
Speaker 1: if your kid has ever done anything bad to themselves

842
00:40:49,400 --> 00:40:51,680
Speaker 1: because you want to blame it on social media. You,

843
00:40:51,760 --> 00:40:53,839
Speaker 1: as a parent, I as a parent, give our kids

844
00:40:53,840 --> 00:40:57,400
Speaker 1: a license to do that kind of stuff. And so

845
00:40:58,880 --> 00:41:01,080
Speaker 1: this isn't an eat of food rally in Austin, Texas,

846
00:41:01,160 --> 00:41:04,240
Speaker 1: Kennedy stood up and demanded Duncan and Starbucks produce safety

847
00:41:04,360 --> 00:41:07,239
Speaker 1: data proving it safe for a teenage girl to drink

848
00:41:07,239 --> 00:41:09,080
Speaker 1: an iced coffee with one hundred and fifteen grams of

849
00:41:09,120 --> 00:41:11,759
Speaker 1: sugar in it. That's a la sanje schev CREMANI our

850
00:41:11,920 --> 00:41:13,680
Speaker 1: yar guy, come up, it's just how much that is.

851
00:41:15,200 --> 00:41:18,279
Speaker 1: And he said, quite honestly, I don't think Starbucks and

852
00:41:18,360 --> 00:41:21,040
Speaker 1: Duncan are going to be able to do it. It's

853
00:41:21,080 --> 00:41:22,160
Speaker 1: not a controversial statement.

854
00:41:22,160 --> 00:41:22,560
Speaker 5: He's right.

855
00:41:23,120 --> 00:41:26,560
Speaker 1: No one's arguing that a venta kermel Freppa, well, whatever

856
00:41:26,600 --> 00:41:28,759
Speaker 1: the hell it is. I just usually drink coffee with

857
00:41:28,760 --> 00:41:30,160
Speaker 1: some cream in it. It's a health food.

858
00:41:30,160 --> 00:41:30,440
Speaker 5: It's not.

859
00:41:31,360 --> 00:41:34,080
Speaker 1: But what he's doing is as an agent of the government,

860
00:41:35,239 --> 00:41:38,320
Speaker 1: is something very different from consumer education. He's threatening private

861
00:41:38,320 --> 00:41:41,280
Speaker 1: companies with regulatory action if they can't prove their product

862
00:41:41,280 --> 00:41:44,160
Speaker 1: meets a certain safety standard. But by the way, until

863
00:41:44,200 --> 00:41:49,719
Speaker 1: this moment didn't exist, and if it's to be regulated,

864
00:41:51,320 --> 00:41:53,920
Speaker 1: this is in the purview of the FDA, which you

865
00:41:53,960 --> 00:41:58,200
Speaker 1: can throw then find regulate sugar. You know, when we're

866
00:41:58,239 --> 00:42:01,120
Speaker 1: worrying about marijuana and whether or not we should be

867
00:42:01,239 --> 00:42:05,160
Speaker 1: legalized or I'll even go back even be considered a

868
00:42:05,239 --> 00:42:09,560
Speaker 1: medicine before it was legalized for recreational use, the cry was, well,

869
00:42:09,560 --> 00:42:11,200
Speaker 1: it's a gateway dr gets a gateway, and that's been

870
00:42:11,239 --> 00:42:13,800
Speaker 1: disproven for a long time. But monument was not that

871
00:42:13,880 --> 00:42:15,960
Speaker 1: it was a gateway drug. Okay, finds greatway, dog. Then

872
00:42:16,000 --> 00:42:19,960
Speaker 1: what is the gateway to marijuana? Well, tobacco, that's bad too,

873
00:42:20,040 --> 00:42:21,880
Speaker 1: now okay, so what was the gateway to tobacco?

874
00:42:23,120 --> 00:42:24,439
Speaker 5: What are you talking about?

875
00:42:25,680 --> 00:42:31,480
Speaker 1: Sugar and then caffeine, and then nicotine and then maybe marijuana,

876
00:42:31,480 --> 00:42:33,440
Speaker 1: then heroin, then meth and then crack and oh my god,

877
00:42:34,440 --> 00:42:37,439
Speaker 1: that's where it starts. Like the first how you feel

878
00:42:37,480 --> 00:42:40,240
Speaker 1: as a kid was when you get a pixie stick

879
00:42:40,800 --> 00:42:45,920
Speaker 1: and knock about thirty of those back, right, Like I

880
00:42:46,000 --> 00:42:48,239
Speaker 1: remember those days. You're like, whooh, I'm all sugared up

881
00:42:48,560 --> 00:42:54,839
Speaker 1: Halloween Easter. Whoo, it's a drug. And we're giving our

882
00:42:54,880 --> 00:42:57,040
Speaker 1: kids drugs with a caffeine, whether it's a coke or

883
00:42:57,040 --> 00:43:02,239
Speaker 1: whether it's a Starbucks. And I'm sorry, but this whole

884
00:43:02,239 --> 00:43:04,440
Speaker 1: thing rf CA is doing. If this were a Democrat,

885
00:43:04,520 --> 00:43:07,360
Speaker 1: if this or Gavin Newsom, conservatives would be going nuts

886
00:43:07,360 --> 00:43:14,000
Speaker 1: about this, as we did when big city mayors went

887
00:43:14,040 --> 00:43:16,960
Speaker 1: to war on the size of beverages. Remember that that

888
00:43:17,160 --> 00:43:20,880
Speaker 1: was what twenty years ago. So they're going to regulate.

889
00:43:20,920 --> 00:43:24,600
Speaker 1: You can't sell an extra large pop anymore. Okay, fine,

890
00:43:24,640 --> 00:43:26,839
Speaker 1: I'll get a large one by two and actually wind

891
00:43:26,920 --> 00:43:29,799
Speaker 1: up drinking more pop. I mean, that's not in the

892
00:43:29,800 --> 00:43:32,520
Speaker 1: scope of what government should be doing. If sugar is,

893
00:43:32,560 --> 00:43:36,239
Speaker 1: indeed a product needs to be regulated that you how

894
00:43:36,280 --> 00:43:38,200
Speaker 1: to prove it safe, then that should be up to

895
00:43:38,200 --> 00:43:41,920
Speaker 1: the government, because again, we are giving farmers a hell

896
00:43:41,960 --> 00:43:46,680
Speaker 1: of a lot of our tax money for corn subsidy

897
00:43:47,440 --> 00:43:51,080
Speaker 1: high FORCT dose corn syrup. I mean, well, this is sugar,

898
00:43:51,080 --> 00:43:53,200
Speaker 1: then puts sugar in. They're putting high frictose corn syrup

899
00:43:53,200 --> 00:43:56,920
Speaker 1: in there. So that starts with you, guys, because you're

900
00:43:57,000 --> 00:44:03,400
Speaker 1: encouraging its use. And obviously, you know, the progressives in

901
00:44:03,440 --> 00:44:05,640
Speaker 1: Massachusetts are losing our minds because that's the Homa Dunkin

902
00:44:05,680 --> 00:44:10,799
Speaker 1: Donuts And basically they're now using the come and take

903
00:44:10,840 --> 00:44:13,319
Speaker 1: it flag, that don't tread on me flag. And it's

904
00:44:13,360 --> 00:44:16,160
Speaker 1: funny how we've gone from the Tea Party using that

905
00:44:16,239 --> 00:44:20,560
Speaker 1: to MAGA Republicans using that, and now Democrat liberal Democrats

906
00:44:20,560 --> 00:44:23,560
Speaker 1: are using that. That mean, it's hilarious don't and they're

907
00:44:23,560 --> 00:44:27,160
Speaker 1: calling it donut tread on me, which is actually really funny.

908
00:44:27,640 --> 00:44:32,000
Speaker 1: So so Maha, the offshoot of MAGA Make America Healthy Again.

909
00:44:34,239 --> 00:44:37,520
Speaker 1: Is he's closing the it's the grass loophole. It's GRAS

910
00:44:37,600 --> 00:44:40,600
Speaker 1: stands for generally Recognized as safe. It's been the FDA's

911
00:44:40,719 --> 00:44:44,320
Speaker 1: ingredient approval pathway for a decade. Companies itself certified that

912
00:44:44,360 --> 00:44:46,480
Speaker 1: their ingredients are safe. That's the deal. And yet over

913
00:44:46,480 --> 00:44:49,480
Speaker 1: ten that's it's been expanded way beyond its original intent.

914
00:44:50,080 --> 00:44:53,480
Speaker 1: Thousands of ingredients, ultra processed food, and that system has

915
00:44:53,480 --> 00:44:56,920
Speaker 1: real problems. But and this is critical, closing a loophole,

916
00:44:56,920 --> 00:44:59,680
Speaker 1: a regulatory loophole, is legitimate policy under that closure as

917
00:44:59,680 --> 00:45:02,319
Speaker 1: a weapon to go after Duncans and Starbucks is just

918
00:45:02,440 --> 00:45:03,200
Speaker 1: political theater.

919
00:45:03,360 --> 00:45:04,080
Speaker 5: It's grandstanding.

920
00:45:04,080 --> 00:45:06,200
Speaker 1: There's a difference between fixing a broken system and using

921
00:45:06,239 --> 00:45:08,880
Speaker 1: a broken system as a as a hammer, as a

922
00:45:08,880 --> 00:45:12,560
Speaker 1: sledgehammer against companies that sell you things you personally don't like.

923
00:45:13,040 --> 00:45:15,520
Speaker 1: And I think Kennedy crossed his that line this week,

924
00:45:15,560 --> 00:45:17,560
Speaker 1: and the story's buried because of what's going on Iran.

925
00:45:19,160 --> 00:45:20,160
Speaker 5: He noticed what he didn't say.

926
00:45:20,200 --> 00:45:22,240
Speaker 1: He didn't say, this is a it's a label recording,

927
00:45:22,280 --> 00:45:24,239
Speaker 1: here's a warrant, here's an age restriction. He said, you

928
00:45:24,320 --> 00:45:26,600
Speaker 1: have to prove it safe. Or we're coming after you.

929
00:45:27,200 --> 00:45:31,359
Speaker 1: So it's it's basically prohibition. So we've got a we're

930
00:45:31,400 --> 00:45:35,600
Speaker 1: gonna have a sugary drink black market now, and I

931
00:45:35,600 --> 00:45:39,000
Speaker 1: would guess that now this is sugar Watch what happens

932
00:45:39,000 --> 00:45:41,520
Speaker 1: with McDonald's and Burger King and Wendy's as we have

933
00:45:41,640 --> 00:45:45,319
Speaker 1: reignited the burger wars this week, they just launched the

934
00:45:45,320 --> 00:45:48,319
Speaker 1: big arch McDonald's did, and it actually looks pretty damn

935
00:45:48,320 --> 00:45:53,160
Speaker 1: good their entry into the extra large burger market. And

936
00:45:53,200 --> 00:45:55,319
Speaker 1: so the CEO shows himself taking a bite. It look

937
00:45:55,400 --> 00:45:59,279
Speaker 1: kind of fabricated to me, like Burger controlled him. That

938
00:45:59,320 --> 00:46:01,920
Speaker 1: became a meme, and so we're off to the burger

939
00:46:01,960 --> 00:46:07,160
Speaker 1: Wars once again. But the big picture argument is these

940
00:46:07,200 --> 00:46:09,360
Speaker 1: three stories tell us something important about where the country's

941
00:46:09,360 --> 00:46:11,240
Speaker 1: headed on food and personal freedom. We have a federal

942
00:46:11,280 --> 00:46:15,920
Speaker 1: health secretary, an appointee targeting specific private companies by name

943
00:46:16,000 --> 00:46:20,320
Speaker 1: of a political railing. Doesn't that undermine the whole argument

944
00:46:20,360 --> 00:46:22,799
Speaker 1: that that the you know, the whole regulatory state needs

945
00:46:22,800 --> 00:46:25,520
Speaker 1: to be upended, that we need DOSEE to come in

946
00:46:25,560 --> 00:46:27,799
Speaker 1: and clean things out because government is just way too

947
00:46:27,840 --> 00:46:30,480
Speaker 1: intrusive in our daily lives. And that seems like that

948
00:46:30,520 --> 00:46:34,040
Speaker 1: seems like ten years ago. But now we're doing the

949
00:46:34,080 --> 00:46:37,000
Speaker 1: exact opposite of dose who's doing We're we're creating more regular,

950
00:46:37,200 --> 00:46:41,680
Speaker 1: more regulatory burdens on businesses. Look, no one's arguing that

951
00:46:41,800 --> 00:46:43,600
Speaker 1: sugar and that amount of sugar is good for you.

952
00:46:43,640 --> 00:46:45,839
Speaker 1: It's not good for you. My mom would say it's

953
00:46:45,840 --> 00:46:47,880
Speaker 1: gonna write your teeth out. Probably is, as well as

954
00:46:47,880 --> 00:46:50,360
Speaker 1: everything else. You'll be having the beat est by the

955
00:46:50,400 --> 00:46:53,879
Speaker 1: time you hit your sixteenth birthday if you keep that up.

956
00:46:54,280 --> 00:46:55,000
Speaker 5: And that's true.

957
00:46:57,040 --> 00:46:59,279
Speaker 1: But we have enough information and we do this all

958
00:46:59,280 --> 00:47:01,640
Speaker 1: the time where we make personal decisions that are bad

959
00:47:01,680 --> 00:47:05,400
Speaker 1: for us, sometimes good, but often bad for us, and

960
00:47:05,440 --> 00:47:09,760
Speaker 1: we weigh the potential outcomes. It's like why some people

961
00:47:09,840 --> 00:47:11,960
Speaker 1: drive one hundred and thirty miles an hour in a

962
00:47:11,960 --> 00:47:13,960
Speaker 1: motorcycle with no helmet, weaven or out of traffic. It

963
00:47:14,000 --> 00:47:16,719
Speaker 1: is a personal risk issue. If I choose not to

964
00:47:16,760 --> 00:47:19,800
Speaker 1: wear a seat belt, it is a personal risk issue.

965
00:47:20,200 --> 00:47:22,200
Speaker 1: You know, you can run all the public service campaigns

966
00:47:22,200 --> 00:47:24,759
Speaker 1: you want and telling me why you shouldn't do this,

967
00:47:24,840 --> 00:47:26,839
Speaker 1: and mainly it's not, well, you're not hurting other people,

968
00:47:26,840 --> 00:47:28,840
Speaker 1: Well you are, you're hurting your family. Well, maybe I

969
00:47:28,880 --> 00:47:33,879
Speaker 1: hate my family. Maybe I'm an orphan. Maybe I'm trying

970
00:47:33,880 --> 00:47:35,480
Speaker 1: to get away from them. Take a dirt net. I

971
00:47:35,480 --> 00:47:37,439
Speaker 1: don't know why you're riding a motorcycle like that without

972
00:47:37,440 --> 00:47:40,760
Speaker 1: a helmet, But in most cases you're only gonna hurt yourself.

973
00:47:42,400 --> 00:47:42,960
Speaker 5: Or the seat belt.

974
00:47:43,000 --> 00:47:44,960
Speaker 1: I mentioned seatbelts, right, it's same thing. It's like, well,

975
00:47:45,320 --> 00:47:48,320
Speaker 1: haven't wear my seat belt like in those public service

976
00:47:48,360 --> 00:47:51,600
Speaker 1: campaign It's like it just hurting me. Yeah, I might

977
00:47:51,600 --> 00:47:53,640
Speaker 1: get an accident. Does it matter if I'm wearing a

978
00:47:53,640 --> 00:47:55,160
Speaker 1: seat belt or not. It doesn't hurt me if I'm

979
00:47:55,760 --> 00:47:58,040
Speaker 1: either the the person who caused the accident, I'm the

980
00:47:58,080 --> 00:48:00,000
Speaker 1: victim of the accident. Whether you're a seat belt is now.

981
00:48:00,760 --> 00:48:03,120
Speaker 1: Unless you fly through your windshield and land in my lap.

982
00:48:03,160 --> 00:48:04,680
Speaker 1: That's the only time it's a problem, which is probably

983
00:48:04,719 --> 00:48:07,799
Speaker 1: pretty rare, you know what I'm saying. And nobody in

984
00:48:07,880 --> 00:48:11,439
Speaker 1: Washington wants answer. Where does this end? Because you vote

985
00:48:11,440 --> 00:48:13,560
Speaker 1: in your party that you support, you're like, wait a minute,

986
00:48:13,560 --> 00:48:17,240
Speaker 1: this is the stuff we voted against the first time around,

987
00:48:17,320 --> 00:48:21,080
Speaker 1: and now we're leaning into it, well because he's our guy. Like,

988
00:48:21,160 --> 00:48:24,120
Speaker 1: I don't get it, and I think you know RFK

989
00:48:25,120 --> 00:48:27,040
Speaker 1: Jerry's out in this guy. I like the idea that

990
00:48:27,040 --> 00:48:29,840
Speaker 1: we're finally talking about health in this country. But it

991
00:48:29,840 --> 00:48:32,960
Speaker 1: wasn't that long ago when remember when Michelle Obama proposed

992
00:48:33,080 --> 00:48:35,279
Speaker 1: I don't know, you know, more carrots are you know,

993
00:48:35,280 --> 00:48:37,080
Speaker 1: we had carrit and when my kids are going to Mason,

994
00:48:37,320 --> 00:48:39,439
Speaker 1: they have like a carrot vending machine that lasted about

995
00:48:39,440 --> 00:48:41,719
Speaker 1: two weeks because people, well carrots sucked by themselves and

996
00:48:41,760 --> 00:48:43,839
Speaker 1: they said, dip it in a ranch, which is the

997
00:48:43,840 --> 00:48:46,000
Speaker 1: only time ranch is acceptable, by the way, unless it's

998
00:48:46,000 --> 00:48:51,200
Speaker 1: on a wedge saddle with bacon, certainly not with wings. Well,

999
00:48:51,280 --> 00:48:52,960
Speaker 1: if we started this or what world are we in?

1000
00:48:53,000 --> 00:48:57,000
Speaker 1: Its blue cheese goes with wings. Nonetheless, that's it. And

1001
00:48:57,040 --> 00:48:58,319
Speaker 1: it was like, oh my god, here we go. We're

1002
00:48:58,360 --> 00:49:00,839
Speaker 1: going to regulate the food, and don't we just look

1003
00:49:00,880 --> 00:49:03,160
Speaker 1: at it and go, okay, fine, that's good, We're fine.

1004
00:49:03,200 --> 00:49:06,680
Speaker 1: Nothing to see here, nothing to see here. Okay, if

1005
00:49:06,719 --> 00:49:09,760
Speaker 1: you are on public assistance and food stamps, we should

1006
00:49:09,760 --> 00:49:12,640
Speaker 1: have a say in what you eat because if you

1007
00:49:12,719 --> 00:49:15,040
Speaker 1: eat and drink nothing but stuff, that's bad for you.

1008
00:49:15,080 --> 00:49:16,920
Speaker 1: And we've seen this because of the real issue of

1009
00:49:16,920 --> 00:49:21,960
Speaker 1: food deserts that you know, package safe or shelf safe

1010
00:49:22,080 --> 00:49:24,520
Speaker 1: safe foods are generally have a lot of chemicals as

1011
00:49:24,520 --> 00:49:27,200
Speaker 1: bad for you, and the health consequences are terrible, especially

1012
00:49:27,280 --> 00:49:30,600
Speaker 1: for those marginalized communities. And yeah, okay, more freshoots and

1013
00:49:30,640 --> 00:49:33,759
Speaker 1: vegetables would be awesome, but you don't you know all

1014
00:49:33,800 --> 00:49:37,279
Speaker 1: these years we've allowed people to buy those things. And

1015
00:49:37,360 --> 00:49:38,480
Speaker 1: so that's what conveniences are.

1016
00:49:38,480 --> 00:49:42,280
Speaker 5: A stock. If you say, hey, here you go, whole.

1017
00:49:42,040 --> 00:49:44,640
Speaker 1: Food like those stories are going to be forced to

1018
00:49:44,640 --> 00:49:47,440
Speaker 1: carry things, maybe perishables. You might see more grocery stores

1019
00:49:47,440 --> 00:49:49,920
Speaker 1: than the hood, and that would be good for everybody.

1020
00:49:50,080 --> 00:49:51,920
Speaker 1: We shouldn't be paying for that. And then the healthcare.

1021
00:49:52,080 --> 00:49:54,640
Speaker 1: You're telling me my kids shouldn't drink this. And yet

1022
00:49:55,360 --> 00:49:57,960
Speaker 1: the same government, at least until October, is fine with

1023
00:49:57,960 --> 00:50:01,000
Speaker 1: people who are on public assistance using the food coupons

1024
00:50:01,040 --> 00:50:03,600
Speaker 1: to do just that. I mean, these guys can't get

1025
00:50:03,600 --> 00:50:05,960
Speaker 1: out of their own way right at five, one, three, seven, nine,

1026
00:50:06,000 --> 00:50:08,360
Speaker 1: seven thousand, over to John on the Scott sloand show, Hey, John.

1027
00:50:09,400 --> 00:50:10,120
Speaker 7: Tony, how are you?

1028
00:50:10,239 --> 00:50:11,000
Speaker 5: I'm good?

1029
00:50:11,840 --> 00:50:14,520
Speaker 7: Hey, I agree with you about you know, if you're

1030
00:50:14,560 --> 00:50:18,960
Speaker 7: on public assistance or you know, you can't be buying

1031
00:50:18,960 --> 00:50:21,680
Speaker 7: this garbage. You know, when you're on public assistance. But

1032
00:50:22,320 --> 00:50:26,560
Speaker 7: you know this, this ebbs and flows right, regulation.

1033
00:50:26,160 --> 00:50:28,760
Speaker 8: On tobacco, right, Yeah, tobacco.

1034
00:50:28,480 --> 00:50:31,080
Speaker 7: Is a legal product. We have regulated that within an

1035
00:50:31,120 --> 00:50:32,160
Speaker 7: inch of its life.

1036
00:50:32,360 --> 00:50:32,560
Speaker 2: Right.

1037
00:50:32,640 --> 00:50:34,640
Speaker 7: I don't want to smoke it. I don't want any

1038
00:50:34,640 --> 00:50:37,040
Speaker 7: of my kids or families smoke it. But somebody chooses

1039
00:50:37,400 --> 00:50:38,240
Speaker 7: that's their business.

1040
00:50:38,320 --> 00:50:38,480
Speaker 1: Right.

1041
00:50:38,560 --> 00:50:41,960
Speaker 7: So this this ebbs and flows back and forth between

1042
00:50:42,040 --> 00:50:46,640
Speaker 7: political parties. I know MAHA right now and RFK. He's

1043
00:50:46,680 --> 00:50:49,200
Speaker 7: probably got some good ideas. He's a little quirky on

1044
00:50:49,280 --> 00:50:52,839
Speaker 7: some other things. But you know, again, this comes down

1045
00:50:52,880 --> 00:50:57,839
Speaker 7: to one thing and one thing only, being a good parent, right,

1046
00:50:58,239 --> 00:51:01,239
Speaker 7: raising your kids to make good decisions. But if you

1047
00:51:01,719 --> 00:51:06,200
Speaker 7: are on public assistance many times, not always, many times,

1048
00:51:06,200 --> 00:51:11,160
Speaker 7: you've probably made some bad decisions. But look, I agree

1049
00:51:11,160 --> 00:51:13,640
Speaker 7: with this. The sugar thing is out of control. I

1050
00:51:13,680 --> 00:51:14,879
Speaker 7: didn't used to believe it, but.

1051
00:51:15,120 --> 00:51:16,120
Speaker 8: Yeah, the sugar thing is.

1052
00:51:17,320 --> 00:51:19,640
Speaker 1: Yeah, it's it's in every every product that's all over

1053
00:51:19,640 --> 00:51:21,640
Speaker 1: the planet. I'm glad he's pointing out at least, but

1054
00:51:21,680 --> 00:51:23,960
Speaker 1: I don't want the government to citing that for me.

1055
00:51:24,040 --> 00:51:26,640
Speaker 1: I want the information to decide for myself.

1056
00:51:26,640 --> 00:51:27,120
Speaker 5: That's fair.

1057
00:51:28,400 --> 00:51:32,440
Speaker 7: Well, and and again there's that's fine, that's fine. But

1058
00:51:32,680 --> 00:51:34,919
Speaker 7: you know what's let's take you and I decide there's

1059
00:51:35,000 --> 00:51:38,080
Speaker 7: a heat all kinds of food with courts here, we

1060
00:51:38,200 --> 00:51:41,680
Speaker 7: become diabetic, we become eighty pounds overweight, right, and now

1061
00:51:41,719 --> 00:51:45,160
Speaker 7: we're burning on the healthcare system. Well, you know, now

1062
00:51:45,200 --> 00:51:47,600
Speaker 7: a lot of tax dollars got to go towards me

1063
00:51:47,760 --> 00:51:52,360
Speaker 7: because I'm stabled and i'm and now I'm using a

1064
00:51:52,360 --> 00:51:56,399
Speaker 7: lot of government healthcare dollars. Really where does it end? Right?

1065
00:51:56,520 --> 00:51:58,879
Speaker 7: Where does it end? Because if you're going to pay

1066
00:51:58,880 --> 00:52:02,560
Speaker 7: for your health care on your that's your business. If

1067
00:52:02,840 --> 00:52:04,920
Speaker 7: if we're paying taxpayer bilers to.

1068
00:52:07,000 --> 00:52:09,160
Speaker 1: One, that's why I draw the line, because yeah, we're okay,

1069
00:52:09,200 --> 00:52:11,120
Speaker 1: well snap, oh we get to snap. Okay, great, but

1070
00:52:11,120 --> 00:52:13,880
Speaker 1: we're allowing people to kill themselves because that's all I

1071
00:52:13,960 --> 00:52:17,200
Speaker 1: have and pop and fast food and then cut the

1072
00:52:17,239 --> 00:52:20,239
Speaker 1: supply off and we're doing that. That's a good thing.

1073
00:52:20,239 --> 00:52:22,960
Speaker 1: I think that's a great thing. But now we're telling okay,

1074
00:52:23,040 --> 00:52:24,719
Speaker 1: if I if I have money, what I can what

1075
00:52:24,800 --> 00:52:26,680
Speaker 1: I should be spending my own money on, or somehow

1076
00:52:26,840 --> 00:52:29,880
Speaker 1: sugar now is dangerous. Yeah, but your policies created the

1077
00:52:29,880 --> 00:52:32,759
Speaker 1: fact that we use hypertrossed corn syrup as opposed to

1078
00:52:32,760 --> 00:52:33,280
Speaker 1: real sugar.

1079
00:52:33,320 --> 00:52:35,040
Speaker 5: I'm not saying real sugar is that much better, but.

1080
00:52:35,040 --> 00:52:36,640
Speaker 1: You know what I'm saying is like, you guys are

1081
00:52:36,800 --> 00:52:39,000
Speaker 1: creating this whole corn syrup thing and now you're the

1082
00:52:39,200 --> 00:52:41,440
Speaker 1: Ways in a war on that, but you're continuing the

1083
00:52:41,440 --> 00:52:42,160
Speaker 1: farm subsidies.

1084
00:52:42,200 --> 00:52:44,120
Speaker 5: I don't get it, but I do get.

1085
00:52:44,000 --> 00:52:47,759
Speaker 1: It because it's about control, it's about hypocrisy, it's about

1086
00:52:47,800 --> 00:52:50,440
Speaker 1: hoping you don't go, hey, you know this is my team,

1087
00:52:50,440 --> 00:52:52,319
Speaker 1: but aren't you guys doing the same thing.

1088
00:52:52,320 --> 00:52:53,600
Speaker 5: We beat the hell out of the other guys for

1089
00:52:53,640 --> 00:52:54,360
Speaker 5: it for a long time.

1090
00:52:55,200 --> 00:52:57,840
Speaker 1: We'll continue to convo with Sanjay Shape Kromani e er

1091
00:52:57,960 --> 00:53:01,320
Speaker 1: doc and our resident health food fitness guy about protein

1092
00:53:01,400 --> 00:53:03,480
Speaker 1: and I'm gonna ask him about the sugar thing too.

1093
00:53:03,560 --> 00:53:06,080
Speaker 1: Coming up next here, Sloany, seven hundred WLW.

1094
00:53:07,200 --> 00:53:10,440
Speaker 5: Show, seven hundred WLW. It's on Thursday morning, and it's

1095
00:53:10,520 --> 00:53:13,280
Speaker 5: not Ways. Have our buddy in son Jay Shaper Jimani.

1096
00:53:13,320 --> 00:53:16,439
Speaker 1: He is an emergency medicine position and you can find

1097
00:53:16,600 --> 00:53:18,920
Speaker 1: at dinad well Doc. It's health, it's food, is fitness,

1098
00:53:18,960 --> 00:53:21,279
Speaker 1: It all comes together. Welcome to the show.

1099
00:53:21,360 --> 00:53:23,440
Speaker 5: How are you? I'm good, Sloan. I may see I

1100
00:53:23,560 --> 00:53:24,239
Speaker 5: made it through the rain.

1101
00:53:24,320 --> 00:53:28,480
Speaker 1: Somehow I made it through the driving rain before I

1102
00:53:28,520 --> 00:53:30,000
Speaker 1: wait with the time. But we're gonna talk a little

1103
00:53:30,000 --> 00:53:33,239
Speaker 1: bit about protein today. And it's funny because I bring

1104
00:53:33,320 --> 00:53:34,920
Speaker 1: this up because burger wars are But I don't know

1105
00:53:34,960 --> 00:53:36,160
Speaker 1: if you know this, but did you see the burger

1106
00:53:36,200 --> 00:53:39,120
Speaker 1: wars that are happening right now? McDonald's launches what's called

1107
00:53:39,160 --> 00:53:42,160
Speaker 1: the Big Arch. It's fourteen patties with thirty slices of

1108
00:53:42,239 --> 00:53:46,520
Speaker 1: cheese in fifteen It's like over a thousand calories, fifty

1109
00:53:46,560 --> 00:53:49,200
Speaker 1: six grams of protein. Go, this is a protein las Burger,

1110
00:53:49,400 --> 00:53:53,040
Speaker 1: so Burger Things responding, Wendy's responding, we have It's like

1111
00:53:53,080 --> 00:53:54,839
Speaker 1: the eighties all over again. We got the burger wars

1112
00:53:54,880 --> 00:53:57,360
Speaker 1: going on. Question as you hear that, you go, fifty

1113
00:53:57,400 --> 00:53:59,719
Speaker 1: six grams of protein, how much protein do you need?

1114
00:53:59,719 --> 00:54:00,880
Speaker 1: I want to I hit that in a second. But

1115
00:54:00,960 --> 00:54:03,759
Speaker 1: speaking of food briefly here because I like pulling news

1116
00:54:03,960 --> 00:54:07,360
Speaker 1: stories up and throwing a match. Here, OURFK. Junior is

1117
00:54:07,400 --> 00:54:10,719
Speaker 1: targeting sugary drinks. He's calling out Duncan, He's calling out Starbucks,

1118
00:54:11,120 --> 00:54:13,800
Speaker 1: saying they prove the safety of high sugar products like

1119
00:54:13,840 --> 00:54:16,400
Speaker 1: an iced coffee with one hundred and fifteen grams of sugar.

1120
00:54:17,280 --> 00:54:22,000
Speaker 1: How that's not dangerous for particularly young consumers. Thoughts on that,

1121
00:54:22,640 --> 00:54:26,400
Speaker 1: I mean, I politics aside. I think he's getting some

1122
00:54:26,520 --> 00:54:30,120
Speaker 1: points here. You know, I love coffee, but I don't

1123
00:54:30,360 --> 00:54:32,000
Speaker 1: want to have one hundred and fifteen grams of whole

1124
00:54:32,040 --> 00:54:32,480
Speaker 1: lot of sugar.

1125
00:54:32,520 --> 00:54:33,960
Speaker 10: And I looked it up after he said that. I

1126
00:54:34,080 --> 00:54:36,160
Speaker 10: was like, no, those drinks don't have and they do,

1127
00:54:36,960 --> 00:54:40,480
Speaker 10: and there's some with even more, and so I am interested.

1128
00:54:40,600 --> 00:54:42,520
Speaker 10: I mean, really, what he's saying is show me some

1129
00:54:42,640 --> 00:54:45,040
Speaker 10: research that it is helpful or at least not harmful.

1130
00:54:45,640 --> 00:54:48,080
Speaker 10: I'd be interested in that too, but you know, time

1131
00:54:48,120 --> 00:54:50,839
Speaker 10: will tell. But I can't imagine that's good for anybody. Well,

1132
00:54:51,320 --> 00:54:53,279
Speaker 10: I agree with it, it's not good for you.

1133
00:54:53,400 --> 00:54:55,040
Speaker 1: But at the same time, I'm also a libertarian in

1134
00:54:55,160 --> 00:54:58,399
Speaker 1: sense it's like, yeah, okay, then he's not talking about

1135
00:54:58,400 --> 00:55:01,759
Speaker 1: the Burger Wars talking about I don't know if you

1136
00:55:01,840 --> 00:55:05,080
Speaker 1: know this, but kids like sugar, adults like sugar.

1137
00:55:05,120 --> 00:55:05,960
Speaker 5: We like sugar.

1138
00:55:06,480 --> 00:55:08,800
Speaker 10: If you want to talk about a gateway drug, sugar

1139
00:55:08,920 --> 00:55:11,560
Speaker 10: is a gateway. And I'm guilty as charge. I mean,

1140
00:55:11,640 --> 00:55:13,880
Speaker 10: I will, I will drink it. I will feel like

1141
00:55:13,960 --> 00:55:16,960
Speaker 10: crap afterwards. I will I mean I'll happily ingest it

1142
00:55:17,000 --> 00:55:18,879
Speaker 10: at the time and then pay the price later.

1143
00:55:19,239 --> 00:55:21,080
Speaker 5: Yeah, one hundred percent. But I did the government picking

1144
00:55:21,120 --> 00:55:21,880
Speaker 5: winners will lose this thing.

1145
00:55:21,920 --> 00:55:24,400
Speaker 1: It's the same thing we did years ago with you know,

1146
00:55:25,400 --> 00:55:27,800
Speaker 1: I guess progressive mayors where they would go after the

1147
00:55:27,880 --> 00:55:29,960
Speaker 1: size of drinks, you know, fountain drinks. We got to

1148
00:55:29,960 --> 00:55:32,360
Speaker 1: put ban or new tax. Sounds like people are going

1149
00:55:32,440 --> 00:55:33,879
Speaker 1: to just drink two of them.

1150
00:55:34,080 --> 00:55:36,680
Speaker 10: Yeah, I think I think the best thing that in

1151
00:55:36,800 --> 00:55:38,440
Speaker 10: my mind that could come out of this is just

1152
00:55:38,600 --> 00:55:41,760
Speaker 10: more awareness of what, you know, what the sugar content

1153
00:55:41,880 --> 00:55:44,800
Speaker 10: is and drinks. I mean, everything's labeled with his protein contents.

1154
00:55:44,880 --> 00:55:48,040
Speaker 10: Now we should include that sugar content. I mean, you know,

1155
00:55:48,360 --> 00:55:51,600
Speaker 10: facts being facts. One one gram of sugar is four calories,

1156
00:55:52,000 --> 00:55:54,200
Speaker 10: So one hundred and fifteen calorie drink.

1157
00:55:54,239 --> 00:55:54,520
Speaker 6: What is that?

1158
00:55:54,560 --> 00:55:56,080
Speaker 5: Four hundred and sixty quick math?

1159
00:55:56,239 --> 00:55:58,279
Speaker 10: Four hundred and sixty calories just from sugar alone in

1160
00:55:58,400 --> 00:56:01,640
Speaker 10: that alf to So that's about all that's.

1161
00:56:01,520 --> 00:56:03,560
Speaker 5: My cai sugar. It's insane.

1162
00:56:03,640 --> 00:56:05,919
Speaker 10: Yeah, And that's just the sugar, so you know, Yeah,

1163
00:56:06,000 --> 00:56:07,440
Speaker 10: the rest of the drink, you put some foam on it,

1164
00:56:07,560 --> 00:56:10,200
Speaker 10: some heavy whip and game over mine as well, add

1165
00:56:10,200 --> 00:56:10,760
Speaker 10: the sprinkles.

1166
00:56:10,840 --> 00:56:13,000
Speaker 1: Yeah, you can't eat for another week. Oh, I got

1167
00:56:13,040 --> 00:56:14,800
Speaker 1: you can't, right, right, So you know it's good to

1168
00:56:14,840 --> 00:56:16,000
Speaker 1: have that awareness of for sure.

1169
00:56:17,120 --> 00:56:17,440
Speaker 4: All Right.

1170
00:56:17,480 --> 00:56:19,399
Speaker 1: So the burger war thing, it's interesting because they're pushing

1171
00:56:19,440 --> 00:56:22,000
Speaker 1: it as a protein. But if I'm if fifty six

1172
00:56:22,040 --> 00:56:24,560
Speaker 1: s grams of protein with the burger, but I'm also

1173
00:56:24,719 --> 00:56:26,880
Speaker 1: eating the bond, I'm probably also washing it down with

1174
00:56:26,960 --> 00:56:29,720
Speaker 1: some fries. I mean, if you think you're it's keto, it's.

1175
00:56:29,600 --> 00:56:32,920
Speaker 5: Not the opposite. Yeah, I mean, like you know, the

1176
00:56:33,000 --> 00:56:33,839
Speaker 5: question is what else?

1177
00:56:34,040 --> 00:56:36,680
Speaker 10: Yeah, they're they're going to make the protein number huge

1178
00:56:36,719 --> 00:56:38,040
Speaker 10: and all the rest of it's going to be I'm

1179
00:56:38,040 --> 00:56:40,040
Speaker 10: going to catch up on it, right Yeah. Yeah, you

1180
00:56:40,080 --> 00:56:42,040
Speaker 10: get the sugar in that, you got all the calories

1181
00:56:42,080 --> 00:56:44,600
Speaker 10: and the fats and everything, and they're not good fats

1182
00:56:45,160 --> 00:56:47,240
Speaker 10: that we're getting from from any of these places.

1183
00:56:47,320 --> 00:56:49,799
Speaker 5: Again, I'd love me a good burger. Probably a good

1184
00:56:49,800 --> 00:56:50,280
Speaker 5: as burger.

1185
00:56:50,400 --> 00:56:53,560
Speaker 10: Yeah, absolutely probably, although well we won't comment on the

1186
00:56:53,640 --> 00:56:55,520
Speaker 10: CEO's video because he didn't make it look that.

1187
00:56:57,239 --> 00:56:59,759
Speaker 5: But wes he weighs like ninety eight pounds, like people

1188
00:56:59,880 --> 00:57:00,920
Speaker 5: like you don't eat that.

1189
00:57:01,280 --> 00:57:03,399
Speaker 10: No, and he's not drinking thee hundred fifteen gram sugar

1190
00:57:03,440 --> 00:57:06,680
Speaker 10: you drink either, right, But you know it'll it'll be

1191
00:57:06,800 --> 00:57:10,200
Speaker 10: interesting how this plays out. Again, protein is all the rage.

1192
00:57:10,239 --> 00:57:12,000
Speaker 10: If you want to sell something, you just put protein

1193
00:57:12,040 --> 00:57:13,840
Speaker 10: on the front of it and people will buy it.

1194
00:57:14,440 --> 00:57:16,480
Speaker 10: But the question is the what else and what has

1195
00:57:16,560 --> 00:57:17,920
Speaker 10: gone into that? Protein gotcha?

1196
00:57:17,960 --> 00:57:18,280
Speaker 5: All right?

1197
00:57:18,320 --> 00:57:20,800
Speaker 1: So it's about I guess, quality protein. So you hear

1198
00:57:20,880 --> 00:57:22,520
Speaker 1: fifty six grams like, oh, that's a lot of pre

1199
00:57:22,720 --> 00:57:23,720
Speaker 1: how much protein you need?

1200
00:57:23,960 --> 00:57:26,240
Speaker 10: So current recommendations are one point two to one point

1201
00:57:26,360 --> 00:57:28,960
Speaker 10: six grams for kilograms, So I can't do the quick

1202
00:57:29,000 --> 00:57:31,280
Speaker 10: math on that on anybody. But what I'm shooting for

1203
00:57:31,760 --> 00:57:33,600
Speaker 10: really is around one hundred and twenty to one hundred

1204
00:57:33,640 --> 00:57:35,920
Speaker 10: and fifty grams of protein a day, okay, which is

1205
00:57:36,480 --> 00:57:40,560
Speaker 10: you know, sizable. A single serving of chicken is about

1206
00:57:40,600 --> 00:57:43,040
Speaker 10: thirty grams of protein, so we're talking about, you know,

1207
00:57:43,160 --> 00:57:45,720
Speaker 10: the equivalent of five servings of chicken per day, which

1208
00:57:46,040 --> 00:57:48,200
Speaker 10: you know exactly, it's a lot.

1209
00:57:48,720 --> 00:57:50,320
Speaker 5: But we can get those protein sources.

1210
00:57:50,480 --> 00:57:53,760
Speaker 10: Fortunately, everything in the supermarket has protein now, so you

1211
00:57:53,800 --> 00:57:55,640
Speaker 10: can get it from a lot of different sources. But

1212
00:57:55,720 --> 00:57:58,040
Speaker 10: that's what I'm shooting for personally, but again, if you

1213
00:57:58,080 --> 00:57:59,760
Speaker 10: want to do the math on yourself, one point two

1214
00:57:59,800 --> 00:58:02,160
Speaker 10: to one point six grams per kilogram per day.

1215
00:58:02,200 --> 00:58:06,160
Speaker 1: Yeah, you go into i don't know, like a casino

1216
00:58:06,200 --> 00:58:08,480
Speaker 1: and they're pumping the oxygen, but the oxygen has protein

1217
00:58:08,520 --> 00:58:10,280
Speaker 1: in it now, so you're yeah, yeah, exactly what not

1218
00:58:10,400 --> 00:58:10,920
Speaker 1: jack casino?

1219
00:58:10,960 --> 00:58:11,360
Speaker 3: And you do that.

1220
00:58:12,480 --> 00:58:14,360
Speaker 1: Okay, So that's the simple math and how much you need.

1221
00:58:14,400 --> 00:58:16,240
Speaker 1: But I was like, yeah, rule of thumb because you're

1222
00:58:16,240 --> 00:58:18,240
Speaker 1: not bringing a scale with you need. Basically, it's like

1223
00:58:18,560 --> 00:58:20,600
Speaker 1: if you eat a size of a deck of cards

1224
00:58:20,640 --> 00:58:22,440
Speaker 1: of protein, that's a that's a portion.

1225
00:58:22,360 --> 00:58:23,160
Speaker 5: Right, that's about a portion.

1226
00:58:23,280 --> 00:58:25,640
Speaker 10: Yeah, we're talking about three and a half or so

1227
00:58:25,840 --> 00:58:29,240
Speaker 10: three to four ounces is a portion of meat in general.

1228
00:58:29,400 --> 00:58:31,760
Speaker 10: So you know, if you if you think about going

1229
00:58:31,840 --> 00:58:34,080
Speaker 10: out for a steak and you're getting a fourteen ounce

1230
00:58:35,400 --> 00:58:38,760
Speaker 10: you know strip, which is my favorite, you know, I'm

1231
00:58:38,840 --> 00:58:42,760
Speaker 10: doing three or four servings right there, which is great

1232
00:58:42,800 --> 00:58:44,800
Speaker 10: from the protein content, but the rest of the content

1233
00:58:44,920 --> 00:58:47,720
Speaker 10: also you know. Again, and we can talk about red

1234
00:58:47,760 --> 00:58:48,560
Speaker 10: meat as well.

1235
00:58:48,440 --> 00:58:51,600
Speaker 5: And yeah, because I like red meat. Red meat sounds amazing.

1236
00:58:52,600 --> 00:58:54,880
Speaker 1: Pros and cons are red meat because it's like an

1237
00:58:54,880 --> 00:58:55,920
Speaker 1: egg's got a bad rap and.

1238
00:58:55,920 --> 00:58:58,080
Speaker 5: I'm like, no, eggs are fine, it's actually good. They're

1239
00:58:58,120 --> 00:58:59,760
Speaker 5: good for you. So we're now back on the egg band.

1240
00:58:59,800 --> 00:58:59,920
Speaker 6: WI.

1241
00:59:00,200 --> 00:59:02,160
Speaker 5: Why are we on red meat? Red meat is a

1242
00:59:03,120 --> 00:59:04,160
Speaker 5: it depends who you ask.

1243
00:59:04,680 --> 00:59:04,800
Speaker 3: Uh.

1244
00:59:05,200 --> 00:59:08,280
Speaker 10: You know, we've gone kind of anti red meat now

1245
00:59:08,440 --> 00:59:10,320
Speaker 10: a lot of people are pro meat red meat, and

1246
00:59:11,080 --> 00:59:13,360
Speaker 10: the answer is always is somewhere in between. So in

1247
00:59:13,440 --> 00:59:17,760
Speaker 10: twenty fifteen, it was released that you know, red meats

1248
00:59:17,800 --> 00:59:21,320
Speaker 10: are carcinogens, so they can cause cancer. Now that that

1249
00:59:21,560 --> 00:59:25,720
Speaker 10: really goes for mainly processed red meat as opposed to

1250
00:59:25,880 --> 00:59:28,680
Speaker 10: just natural, unprocessed red meat. And that's kind of where

1251
00:59:28,720 --> 00:59:31,800
Speaker 10: the main definition occurs. But we're also where the confusion happens.

1252
00:59:31,840 --> 00:59:33,960
Speaker 1: All right, So we'll start with like, okay, so bacon,

1253
00:59:34,040 --> 00:59:37,680
Speaker 1: which we're gonna have bacon, sausage, hot dogs, that kind.

1254
00:59:37,600 --> 00:59:40,280
Speaker 10: Of stuff exactly. So those are those are processed. And

1255
00:59:40,360 --> 00:59:43,200
Speaker 10: the unfortunate part is everything gets lumped in together, so

1256
00:59:43,680 --> 00:59:47,000
Speaker 10: processed includes just basic cured meat. So the finest pershudo

1257
00:59:47,200 --> 00:59:50,520
Speaker 10: from Italy is still going to be considered a processed meat.

1258
00:59:50,560 --> 00:59:52,840
Speaker 5: Now, is that as bad as hot dogs? Well, the

1259
00:59:52,880 --> 00:59:53,960
Speaker 5: studies haven't come out.

1260
00:59:53,840 --> 00:59:56,400
Speaker 10: But I can guess you know you're doing okay if

1261
00:59:56,440 --> 00:59:58,479
Speaker 10: you're having some perscudo every now and then, but maybe

1262
00:59:58,520 --> 00:59:59,200
Speaker 10: not doing so okay.

1263
00:59:59,200 --> 01:00:00,760
Speaker 5: If you're having a hot dog with it, hot dog

1264
01:00:00,800 --> 01:00:01,640
Speaker 5: every day, it's a problem.

1265
01:00:01,800 --> 01:00:05,880
Speaker 10: Yeah, And and that comes down to both cardiovascular risk

1266
01:00:05,960 --> 01:00:08,200
Speaker 10: and the cancer risk, so both of those, how it

1267
01:00:08,200 --> 01:00:12,320
Speaker 10: affects your heart and brain and also you know, cognitive function.

1268
01:00:12,480 --> 01:00:15,280
Speaker 10: So even dementia has been recently linked in a study

1269
01:00:15,480 --> 01:00:19,800
Speaker 10: just two months ago to increased processed red meat intake.

1270
01:00:20,000 --> 01:00:23,280
Speaker 1: Okay, so what about unprocessed red meat? What about a steak?

1271
01:00:23,680 --> 01:00:27,960
Speaker 1: So about pork, it's still they're still developing it. And

1272
01:00:28,120 --> 01:00:31,280
Speaker 1: so really what it looks like is you can tolerate

1273
01:00:32,240 --> 01:00:35,600
Speaker 1: higher amounts of unprocessed red meat, so natural red meat,

1274
01:00:35,640 --> 01:00:39,320
Speaker 1: say ground beef or steak, and you can have a

1275
01:00:39,400 --> 01:00:42,320
Speaker 1: higher amount of that per day. So what the studies

1276
01:00:42,360 --> 01:00:46,400
Speaker 1: have shown is about fifty grams of processed red meat

1277
01:00:46,800 --> 01:00:49,440
Speaker 1: is enough to cause an increase in cancer of about

1278
01:00:49,480 --> 01:00:53,440
Speaker 1: eighteen percent. Now that's a relative increase. That's not like saying, well,

1279
01:00:53,600 --> 01:00:55,920
Speaker 1: my risk because I don't eat red meat is twenty percent,

1280
01:00:56,000 --> 01:00:58,880
Speaker 1: and if I ate processed red meat's thirty Is that

1281
01:00:59,000 --> 01:01:02,520
Speaker 1: a day? It every day day and so what that

1282
01:01:02,600 --> 01:01:04,840
Speaker 1: amounts to fifty grams is like two strips of bacon,

1283
01:01:04,880 --> 01:01:07,080
Speaker 1: So it's not a ton. If you're having bacon every morning,

1284
01:01:07,440 --> 01:01:09,520
Speaker 1: that could increase your risk about you know.

1285
01:01:09,640 --> 01:01:10,280
Speaker 5: Eighteen percent.

1286
01:01:10,360 --> 01:01:12,320
Speaker 10: What does that mean if you had a five percent

1287
01:01:12,440 --> 01:01:15,560
Speaker 10: risk of cancer colorectal cancer before it becomes six percent.

1288
01:01:15,880 --> 01:01:18,200
Speaker 10: So it's not huge, but it's definitely a link there.

1289
01:01:18,280 --> 01:01:21,720
Speaker 10: And so that's fifty grams. If you want to talk

1290
01:01:21,760 --> 01:01:24,760
Speaker 10: about unprocessed meat, that's one hundred grams per day of

1291
01:01:24,840 --> 01:01:27,760
Speaker 10: intake that will increase the risk of heart disease and cancer.

1292
01:01:27,880 --> 01:01:30,080
Speaker 1: All right, So bottom line it for me, son Jay,

1293
01:01:31,400 --> 01:01:35,240
Speaker 1: once a week on the process, yeah, or on whatever.

1294
01:01:35,960 --> 01:01:38,919
Speaker 10: You can actually have unprocessed red meat probably a couple

1295
01:01:39,320 --> 01:01:41,920
Speaker 10: times about the week, two or three times. Now you

1296
01:01:42,040 --> 01:01:45,240
Speaker 10: obviously want to have other protein sources, those protein sources

1297
01:01:45,320 --> 01:01:47,960
Speaker 10: that are better for you. Fish seems to be winning

1298
01:01:48,840 --> 01:01:51,000
Speaker 10: mainly because they'll make a three fatty acids that go

1299
01:01:51,080 --> 01:01:54,080
Speaker 10: along with the chicken. Chicken is also a great one

1300
01:01:54,120 --> 01:01:57,480
Speaker 10: because it's lean. The main problems, you know, we can

1301
01:01:57,760 --> 01:02:00,800
Speaker 10: divide it into the fat and then the cancer got

1302
01:02:00,840 --> 01:02:02,160
Speaker 10: it and so fat.

1303
01:02:02,400 --> 01:02:04,640
Speaker 5: You know, it depends on your cut of steak.

1304
01:02:04,720 --> 01:02:07,520
Speaker 10: If you're having just a filet mignon, that's actually pretty

1305
01:02:07,560 --> 01:02:10,800
Speaker 10: low and fat rib other end of the spectrum.

1306
01:02:11,400 --> 01:02:12,439
Speaker 5: But I love me a good.

1307
01:02:12,400 --> 01:02:15,120
Speaker 10: Ribby, right, I slid having one more than once a month,

1308
01:02:15,200 --> 01:02:19,320
Speaker 10: you know. Yeah, chicken, turkey, those are all nice middle

1309
01:02:19,320 --> 01:02:24,000
Speaker 10: ground there, right, yeah, and so those are those are

1310
01:02:24,040 --> 01:02:29,320
Speaker 10: good middle grounds. Again, ribbis are delicious brown, Yeah.

1311
01:02:29,240 --> 01:02:29,760
Speaker 4: You want to go.

1312
01:02:29,960 --> 01:02:31,720
Speaker 10: I mean, the lenus is like a ninety three seven,

1313
01:02:31,800 --> 01:02:34,240
Speaker 10: which really just tastes like stuff.

1314
01:02:34,320 --> 01:02:38,800
Speaker 5: That's that's literally what I feed my dog eighty twenty.

1315
01:02:38,920 --> 01:02:40,600
Speaker 10: You know you're gonna grill awful lot of that, so

1316
01:02:40,880 --> 01:02:43,600
Speaker 10: you know, at the end of the day it isn't bad.

1317
01:02:43,880 --> 01:02:46,880
Speaker 10: But again to two servings, two to three servings a

1318
01:02:46,960 --> 01:02:50,520
Speaker 10: week is probably okay on that. Just be careful with

1319
01:02:50,720 --> 01:02:54,520
Speaker 10: the process. Mean, and again it's it's bacon, it's uh sausage,

1320
01:02:54,720 --> 01:02:56,720
Speaker 10: it's hot dogs, stuff like gotcha all right?

1321
01:02:56,920 --> 01:02:59,400
Speaker 1: Also, I will say pork, like pork is really lean

1322
01:02:59,480 --> 01:03:02,120
Speaker 1: these days, right, like a center cut chop or tender loin.

1323
01:03:02,240 --> 01:03:04,200
Speaker 5: Is that closer to chicken or closer to a steak.

1324
01:03:04,440 --> 01:03:06,919
Speaker 10: So you know that that whole thing from twenty thirty

1325
01:03:07,000 --> 01:03:08,880
Speaker 10: years ago where they called it the other white meat.

1326
01:03:08,920 --> 01:03:11,880
Speaker 10: It's actually a red meat. And it's really how that's

1327
01:03:11,920 --> 01:03:15,000
Speaker 10: defined as the amount of maya globin, which is a

1328
01:03:15,080 --> 01:03:17,919
Speaker 10: certain thing in the meat that is carried in the meat,

1329
01:03:18,000 --> 01:03:22,240
Speaker 10: and so it is leaner though than pork, sorry, than

1330
01:03:22,280 --> 01:03:22,880
Speaker 10: beef in general.

1331
01:03:22,960 --> 01:03:25,520
Speaker 1: Gotcha, that's very medical. That's a certain thing in beef

1332
01:03:25,560 --> 01:03:28,840
Speaker 1: that's in the beef, very exactly. I'm an er doc,

1333
01:03:29,560 --> 01:03:33,800
Speaker 1: I'm not. I got to bring it down enough of

1334
01:03:33,840 --> 01:03:37,920
Speaker 1: a trade jack trade master. Always the smartest gedder Sanji

1335
01:03:38,000 --> 01:03:40,520
Speaker 1: Shava Karmani here's a our physician as you mentioned too,

1336
01:03:40,600 --> 01:03:43,680
Speaker 1: but also health food fitness talking about well, we have

1337
01:03:43,800 --> 01:03:47,120
Speaker 1: the new burger wars coming out now. McDonald's, Wendy's, Burger

1338
01:03:47,200 --> 01:03:49,800
Speaker 1: King all fighting. Mickey D's rolls out this dud big

1339
01:03:49,920 --> 01:03:52,560
Speaker 1: arch which has twelve billion calories and at fifteen thousand

1340
01:03:52,600 --> 01:03:57,160
Speaker 1: slices of cheese, forty eight million slices of beef patties

1341
01:03:57,160 --> 01:03:59,320
Speaker 1: in there, and it's fifty six grams of protein a

1342
01:03:59,360 --> 01:04:02,280
Speaker 1: well over one thousand calories and things. Okay, well, should

1343
01:04:02,320 --> 01:04:04,120
Speaker 1: we visit the issue on red meat. We're learning we

1344
01:04:04,280 --> 01:04:08,120
Speaker 1: learn more about eggs and things like that. Yeah, it's

1345
01:04:08,480 --> 01:04:10,560
Speaker 1: it's you know, red meat and moderate She said two

1346
01:04:10,600 --> 01:04:12,600
Speaker 1: three times a week, lean red meat maybe once a week.

1347
01:04:12,640 --> 01:04:14,200
Speaker 1: If you're gonna do like a hot dog or bacon

1348
01:04:14,280 --> 01:04:16,440
Speaker 1: or processed foods like that, it's fine. I'm more of

1349
01:04:16,480 --> 01:04:18,280
Speaker 1: a bacon crumble kind of guy, So it's like a

1350
01:04:18,320 --> 01:04:19,640
Speaker 1: little bit of a time here and there in a

1351
01:04:19,720 --> 01:04:20,560
Speaker 1: salad or something like that.

1352
01:04:20,760 --> 01:04:21,720
Speaker 5: So I'm good.

1353
01:04:21,800 --> 01:04:24,760
Speaker 1: But who doesn't like some bacon? What plant based diets,

1354
01:04:24,800 --> 01:04:26,360
Speaker 1: of course, have been the rage for a long time.

1355
01:04:26,920 --> 01:04:30,680
Speaker 1: Is a science strong enough now to recommend we move

1356
01:04:30,680 --> 01:04:33,400
Speaker 1: away from animal protein and just do like the plant protein.

1357
01:04:33,480 --> 01:04:35,880
Speaker 1: I mean, you're you're probably a protein supplement guy with

1358
01:04:36,000 --> 01:04:38,800
Speaker 1: the you know, there's different ones. You've got rice protein,

1359
01:04:38,880 --> 01:04:41,480
Speaker 1: soy protein. It's there's a million different kinds. What what

1360
01:04:41,560 --> 01:04:42,120
Speaker 1: do you need there?

1361
01:04:42,440 --> 01:04:45,000
Speaker 10: I mean, if you're again looking at the data, a

1362
01:04:45,120 --> 01:04:48,200
Speaker 10: vegetarian diet does seem to have a lot more health

1363
01:04:48,240 --> 01:04:51,920
Speaker 10: benefits than a meat diet. But I also want to live,

1364
01:04:52,920 --> 01:04:54,800
Speaker 10: and so it's you know, how much do you want

1365
01:04:54,880 --> 01:04:57,400
Speaker 10: to take? You know, as far as how strict do

1366
01:04:57,480 --> 01:04:59,480
Speaker 10: I want to be with my diet? And also you know,

1367
01:04:59,560 --> 01:05:01,920
Speaker 10: if you just enjoy vegetables, great, and if you can

1368
01:05:02,080 --> 01:05:04,560
Speaker 10: get enough protein content. And that's great if you want

1369
01:05:04,560 --> 01:05:07,439
Speaker 10: to have some meat, though, as long as you're getting

1370
01:05:07,440 --> 01:05:10,160
Speaker 10: a balanced diet eating real food, which is again the

1371
01:05:10,600 --> 01:05:12,320
Speaker 10: current administration stands.

1372
01:05:12,400 --> 01:05:14,880
Speaker 5: Yes, that seems to be the most important part.

1373
01:05:14,960 --> 01:05:16,800
Speaker 10: So they do have a point with that, Like the

1374
01:05:16,920 --> 01:05:19,760
Speaker 10: less processed foods you have, the less additives in there

1375
01:05:19,880 --> 01:05:22,800
Speaker 10: like nitrates and nitrites and you know, your jerky and

1376
01:05:22,840 --> 01:05:23,360
Speaker 10: stuff like that.

1377
01:05:24,360 --> 01:05:26,800
Speaker 5: The better off you'll be. Okay, No, that makes sense.

1378
01:05:26,880 --> 01:05:30,320
Speaker 1: And you know, if you're taking a protein supplement, powdered

1379
01:05:30,360 --> 01:05:33,560
Speaker 1: protein generally is going to be organic and also vegan.

1380
01:05:33,840 --> 01:05:35,400
Speaker 5: Yeah, so you don't and.

1381
01:05:35,480 --> 01:05:37,320
Speaker 10: Most of them, I mean you do want to check

1382
01:05:37,480 --> 01:05:39,760
Speaker 10: the back and make sure there's not too many additives

1383
01:05:39,800 --> 01:05:41,840
Speaker 10: in there. But there are a lot of clean kind

1384
01:05:41,880 --> 01:05:45,000
Speaker 10: of protein powders. I use one that has minimal ingredients

1385
01:05:45,040 --> 01:05:47,280
Speaker 10: in it, and I supplement my diet daily with that.

1386
01:05:47,520 --> 01:05:47,960
Speaker 5: Yeah. Good.

1387
01:05:48,760 --> 01:05:52,480
Speaker 1: There's also a growing bunch of research down protein and longevity.

1388
01:05:52,840 --> 01:05:54,880
Speaker 1: And does it seemed that like that is the trend

1389
01:05:54,920 --> 01:05:57,120
Speaker 1: that that's actual good science. Now we enough data, that's

1390
01:05:57,160 --> 01:05:57,680
Speaker 1: good science.

1391
01:05:57,760 --> 01:06:00,600
Speaker 10: I mean, we all want to have the protein intake,

1392
01:06:00,680 --> 01:06:04,840
Speaker 10: which ultimately amounts to muscle mass. The more muscle mass

1393
01:06:04,920 --> 01:06:06,760
Speaker 10: we have in our body. It does a few things

1394
01:06:07,640 --> 01:06:09,960
Speaker 10: we you know, we talked about last week grip strength

1395
01:06:10,040 --> 01:06:12,840
Speaker 10: being important. So the more the more muscle you have

1396
01:06:13,000 --> 01:06:15,400
Speaker 10: on you, the less falls you'll have, the more things

1397
01:06:15,440 --> 01:06:17,280
Speaker 10: you can do in life, So both the quantity and

1398
01:06:17,400 --> 01:06:19,680
Speaker 10: the quality of your life will increase. And then what

1399
01:06:19,760 --> 01:06:21,920
Speaker 10: we're finding is also the amount of muscle you have

1400
01:06:22,080 --> 01:06:26,040
Speaker 10: on you also helps with you know, sugar metabolism, and

1401
01:06:26,200 --> 01:06:28,720
Speaker 10: so the more muscle you have, if you have a

1402
01:06:28,800 --> 01:06:30,560
Speaker 10: sugar emeal, if you have one hundred and fifteen gram

1403
01:06:30,640 --> 01:06:33,200
Speaker 10: coffee drink, your body will be able to do more

1404
01:06:33,240 --> 01:06:35,440
Speaker 10: with that so it doesn't end up becoming fat, so

1405
01:06:35,600 --> 01:06:39,880
Speaker 10: you don't end up insulin resistance insulin resistant in developing diabetes.

1406
01:06:40,000 --> 01:06:43,000
Speaker 1: Yeah, all right, that makes sense also to you know,

1407
01:06:43,120 --> 01:06:45,720
Speaker 1: I know you are are big on other supplements to

1408
01:06:45,800 --> 01:06:49,760
Speaker 1: in addition to the protein, You're putting different types of

1409
01:06:50,200 --> 01:06:51,160
Speaker 1: I guess mixes in there.

1410
01:06:51,320 --> 01:06:53,880
Speaker 5: What else? What else do you recommend with a cretine preteine?

1411
01:06:53,920 --> 01:06:56,120
Speaker 10: Yeah, you know, there have been some links and I'm

1412
01:06:56,200 --> 01:06:58,200
Speaker 10: currently not doing creatine because I'm trying to cut a

1413
01:06:58,240 --> 01:07:00,960
Speaker 10: little bit coming into summer, and it does cause a

1414
01:07:01,000 --> 01:07:03,560
Speaker 10: little bit of weight gain, but through muscle gain as well. Yeah,

1415
01:07:03,880 --> 01:07:06,880
Speaker 10: but it seems to have some neuroprotective benefits too, so

1416
01:07:07,200 --> 01:07:10,880
Speaker 10: you know, decreasing the risk of dementia too, which is

1417
01:07:10,920 --> 01:07:13,480
Speaker 10: near and dear to my heart with a father with dementia.

1418
01:07:13,600 --> 01:07:16,920
Speaker 10: So that is an important one that seems to be

1419
01:07:17,000 --> 01:07:19,960
Speaker 10: coming out and playing out in the literature and so creating.

1420
01:07:20,240 --> 01:07:22,880
Speaker 10: I'm pro creating for the most part.

1421
01:07:22,760 --> 01:07:26,800
Speaker 1: Not during not right exactly. All right, So vanity, in

1422
01:07:26,920 --> 01:07:29,960
Speaker 1: your opinion is vanity is greater than health.

1423
01:07:30,080 --> 01:07:32,040
Speaker 10: Everything I do is to look good, Scott, And I'm

1424
01:07:32,080 --> 01:07:34,280
Speaker 10: having enough of a hard time with that right now.

1425
01:07:34,560 --> 01:07:37,080
Speaker 5: You know, be asking what grilla You're like, it's sixty

1426
01:07:37,160 --> 01:07:39,480
Speaker 5: minutes over here. Yeah, exactly, poor guy.

1427
01:07:39,920 --> 01:07:44,280
Speaker 1: Or I didn't sign up for this nonsense swim shut up,

1428
01:07:44,360 --> 01:07:47,400
Speaker 1: Tom Brady. But he's looking at you. Got one gray hair,

1429
01:07:47,440 --> 01:07:50,400
Speaker 1: It's over, That's how it works. Or to get married

1430
01:07:50,640 --> 01:07:52,600
Speaker 1: for God crying out love, for God's sakes, it's over.

1431
01:07:52,680 --> 01:07:54,640
Speaker 5: Give it up. Got to fit into my suit? Yeah, yeah,

1432
01:07:54,720 --> 01:07:55,600
Speaker 5: And I think that's.

1433
01:07:55,440 --> 01:07:57,680
Speaker 1: An important thing to the health and dementia portion of

1434
01:07:57,760 --> 01:08:00,640
Speaker 1: it is, especially as you get older. Right, I've been

1435
01:08:00,680 --> 01:08:02,720
Speaker 1: taking greteen for a little while now, so because of that,

1436
01:08:02,800 --> 01:08:04,440
Speaker 1: it just seems like it's a good supplement to have.

1437
01:08:04,600 --> 01:08:06,439
Speaker 10: It seems to be a good thing. Brain, body, they're

1438
01:08:06,440 --> 01:08:08,360
Speaker 10: all tied and together. And the more we find out,

1439
01:08:08,400 --> 01:08:09,600
Speaker 10: the more we realize that's true.

1440
01:08:09,680 --> 01:08:12,960
Speaker 1: Yeah, So what about glp ones the factor in this too.

1441
01:08:13,040 --> 01:08:16,479
Speaker 1: Now you know it reduces your appetite, but are you

1442
01:08:16,720 --> 01:08:18,960
Speaker 1: at risk of serious protein undertake?

1443
01:08:19,400 --> 01:08:22,360
Speaker 10: You are, And so the problem is in general the

1444
01:08:22,479 --> 01:08:25,400
Speaker 10: glp ones will make you obviously lose weight, but is

1445
01:08:25,520 --> 01:08:28,880
Speaker 10: to decrease you know, appetite. And so the less you're eating,

1446
01:08:29,320 --> 01:08:31,360
Speaker 10: the more you have to focus on what are you

1447
01:08:31,439 --> 01:08:34,080
Speaker 10: actually putting in your body? Are you are you eating

1448
01:08:34,160 --> 01:08:37,320
Speaker 10: real foods in the limited quantities that you're taking in

1449
01:08:37,479 --> 01:08:41,560
Speaker 10: And so it's it's almost most important for patients and

1450
01:08:41,640 --> 01:08:44,519
Speaker 10: people on GLP ones to focus and make sure they're

1451
01:08:44,560 --> 01:08:46,840
Speaker 10: getting that protein intake and one hundred You know, if

1452
01:08:46,880 --> 01:08:48,680
Speaker 10: you have to take one hundred and fifty grams of

1453
01:08:48,720 --> 01:08:51,080
Speaker 10: protein in a day, that is tough enough as it is,

1454
01:08:51,280 --> 01:08:53,360
Speaker 10: let alone all the other stuff you want to be eating.

1455
01:08:54,080 --> 01:08:55,920
Speaker 10: You know, vegetables will fill you up quickly, that's what

1456
01:08:56,120 --> 01:08:59,920
Speaker 10: makes them so good. But you know, really focusing on

1457
01:09:00,080 --> 01:09:02,640
Speaker 10: that protein and take because as we you know, as

1458
01:09:02,720 --> 01:09:05,760
Speaker 10: we learn, you lose as much protein or muscle as

1459
01:09:05,800 --> 01:09:08,480
Speaker 10: you do fat and in the same amount of proportions.

1460
01:09:08,560 --> 01:09:11,040
Speaker 10: But you really want to keep that muscle on board

1461
01:09:11,120 --> 01:09:12,240
Speaker 10: while you're losing your fat.

1462
01:09:12,400 --> 01:09:14,360
Speaker 1: No, that makes a that makes a lot of sense.

1463
01:09:14,400 --> 01:09:16,280
Speaker 1: So you know, bounced out. So you're learning something here

1464
01:09:16,360 --> 01:09:18,559
Speaker 1: too from Sonjay, and that is you know, red meat

1465
01:09:18,640 --> 01:09:20,120
Speaker 1: is not the worst thing. Or you once or twice

1466
01:09:20,120 --> 01:09:22,599
Speaker 1: a week for the unprocessed once once a week if

1467
01:09:22,640 --> 01:09:24,800
Speaker 1: it's a hot dog, bacon, things like that. Pork is

1468
01:09:25,200 --> 01:09:27,360
Speaker 1: certainly a red meat in this category, and you don't

1469
01:09:27,439 --> 01:09:30,240
Speaker 1: have to take unless you want to. The protein based supplements,

1470
01:09:30,720 --> 01:09:32,479
Speaker 1: although I know plenty of body build as you do too,

1471
01:09:32,479 --> 01:09:33,800
Speaker 1: it's like, well here's what's recommended for you.

1472
01:09:33,840 --> 01:09:35,840
Speaker 10: Wait and they take three times that. Oh yeah, you know,

1473
01:09:36,000 --> 01:09:37,720
Speaker 10: so there're gonna be problems with that too. I mean,

1474
01:09:37,760 --> 01:09:38,920
Speaker 10: you better be staying hydrated.

1475
01:09:39,000 --> 01:09:39,600
Speaker 5: Yeah you doing that?

1476
01:09:39,760 --> 01:09:39,800
Speaker 6: What?

1477
01:09:40,120 --> 01:09:42,439
Speaker 1: By the way, what happens if you if you creteine

1478
01:09:42,479 --> 01:09:45,639
Speaker 1: also you have to you have to hydrate. What happens

1479
01:09:45,720 --> 01:09:47,240
Speaker 1: your body if you don't drink enough water?

1480
01:09:47,360 --> 01:09:49,120
Speaker 10: You really want to metabolize it. So you want to

1481
01:09:49,120 --> 01:09:51,120
Speaker 10: push things through your body and water will help you

1482
01:09:51,200 --> 01:09:53,560
Speaker 10: do that. And if things start sledging down, you know,

1483
01:09:53,640 --> 01:09:56,000
Speaker 10: there can be problems with the kidneys, especially it's a

1484
01:09:56,040 --> 01:09:59,080
Speaker 10: lot of burden on the kidneys to process that much

1485
01:09:59,720 --> 01:10:00,840
Speaker 10: prot teamed through them.

1486
01:10:01,120 --> 01:10:01,320
Speaker 5: Yeah.

1487
01:10:01,439 --> 01:10:04,840
Speaker 1: Yeah, for years, you know, professional bodybuilds and others said,

1488
01:10:04,880 --> 01:10:07,000
Speaker 1: now we way more protein than your body needs and

1489
01:10:07,120 --> 01:10:08,360
Speaker 1: it seems to work, I guess, and.

1490
01:10:08,880 --> 01:10:11,360
Speaker 10: It works in that degree. But they're also probably you know,

1491
01:10:12,080 --> 01:10:14,320
Speaker 10: drinking a ton of water every day just to kind

1492
01:10:14,360 --> 01:10:15,439
Speaker 10: of move things along.

1493
01:10:15,520 --> 01:10:18,040
Speaker 1: Yeah, exactly, all right, Sonjay, appreciate you so much. Sanjay

1494
01:10:18,080 --> 01:10:21,400
Speaker 1: Schaeffer caramani E our physician also our resident health food

1495
01:10:21,439 --> 01:10:24,280
Speaker 1: fitness guy. You can find him at Dine Well Dock

1496
01:10:24,320 --> 01:10:27,000
Speaker 1: and of course he's at Revived Strength in Oakley. All

1497
01:10:27,000 --> 01:10:29,880
Speaker 1: the best thanks to Scott's Flunshow with News in minutes.

1498
01:10:29,920 --> 01:10:31,040
Speaker 1: Here seven hundred w A to.

1499
01:10:31,240 --> 01:10:34,880
Speaker 5: You want to be an American Scott's Flung Show. This

1500
01:10:34,960 --> 01:10:36,360
Speaker 5: is seven hundred w ALW.

1501
01:10:36,560 --> 01:10:40,320
Speaker 1: We had nationally a twenty four percent drop in overdose

1502
01:10:40,400 --> 01:10:43,840
Speaker 1: destinationwide and that sounds like good news. But a drug

1503
01:10:43,960 --> 01:10:46,360
Speaker 1: four to ten times more potent than fentanyl, I said,

1504
01:10:46,400 --> 01:10:48,679
Speaker 1: four to time ten, four to ten times more potent

1505
01:10:48,720 --> 01:10:51,760
Speaker 1: in fedil has been found in Hamlin County. Should he

1506
01:10:51,840 --> 01:10:55,360
Speaker 1: be worried about this this morning? It's lack to Marco.

1507
01:10:55,520 --> 01:10:59,400
Speaker 1: She is a corner of Hamilton County and she's on

1508
01:10:59,520 --> 01:10:59,760
Speaker 1: the show.

1509
01:10:59,840 --> 01:11:01,080
Speaker 5: Now what's going on? How are you?

1510
01:11:02,240 --> 01:11:03,040
Speaker 6: I'm great? How are you?

1511
01:11:03,240 --> 01:11:05,320
Speaker 1: I'm doing fine. Just trying to get everything working this morning.

1512
01:11:05,320 --> 01:11:07,320
Speaker 1: I think that's all the waters like, screw my equipment

1513
01:11:07,400 --> 01:11:07,640
Speaker 1: up here.

1514
01:11:08,439 --> 01:11:09,439
Speaker 5: I know you had a pressure.

1515
01:11:09,439 --> 01:11:10,960
Speaker 11: I told you it took three cups of.

1516
01:11:10,960 --> 01:11:11,760
Speaker 6: Coffee this morning.

1517
01:11:13,880 --> 01:11:16,120
Speaker 5: Today's definitely an extra coffee and then a nap kind

1518
01:11:16,160 --> 01:11:17,840
Speaker 5: of thing. I know you've got.

1519
01:11:17,880 --> 01:11:20,160
Speaker 1: You just rolled a website out, a new website because

1520
01:11:20,320 --> 01:11:21,720
Speaker 1: of the transparency.

1521
01:11:21,720 --> 01:11:22,400
Speaker 5: I think it's interesting.

1522
01:11:22,400 --> 01:11:24,040
Speaker 1: I don't think that guy's much covers as you should

1523
01:11:24,080 --> 01:11:26,560
Speaker 1: with the war and all this other news. But the

1524
01:11:26,640 --> 01:11:28,280
Speaker 1: fact that you want to be more transparent in the

1525
01:11:28,320 --> 01:11:28,960
Speaker 1: Corner's office.

1526
01:11:30,280 --> 01:11:33,479
Speaker 11: You know, that's always been I've said from the very beginning.

1527
01:11:33,720 --> 01:11:36,880
Speaker 11: This is an office that's supported by the tax payers

1528
01:11:37,080 --> 01:11:40,680
Speaker 11: and and the voters, and they they have a right

1529
01:11:40,760 --> 01:11:43,080
Speaker 11: to know the information. That's why I've always been as

1530
01:11:43,120 --> 01:11:45,400
Speaker 11: transparent as I possibly can, whether it's.

1531
01:11:45,560 --> 01:11:46,719
Speaker 8: Good news bad news.

1532
01:11:47,280 --> 01:11:50,080
Speaker 11: You know, things we did great or mistakes that we made.

1533
01:11:50,360 --> 01:11:52,920
Speaker 11: I think that, you know, the public has a right

1534
01:11:53,000 --> 01:11:56,040
Speaker 11: to know, and that's why I've always tried to present

1535
01:11:56,120 --> 01:11:58,759
Speaker 11: it that way and you know, not put any personal

1536
01:11:58,840 --> 01:12:01,320
Speaker 11: biases on it, and to the facts and stick to

1537
01:12:01,400 --> 01:12:01,920
Speaker 11: the science.

1538
01:12:02,520 --> 01:12:02,800
Speaker 6: You don't.

1539
01:12:02,840 --> 01:12:04,720
Speaker 1: I mean, it's not crazy, like you don't have live

1540
01:12:04,800 --> 01:12:06,800
Speaker 1: cams on your slabs while you're working, right, you can't

1541
01:12:06,880 --> 01:12:07,760
Speaker 1: like live stream You're.

1542
01:12:07,720 --> 01:12:12,920
Speaker 11: Absolutely it's okay, so far you can go well, and

1543
01:12:13,040 --> 01:12:15,120
Speaker 11: you know what if people we you know, we've never

1544
01:12:15,439 --> 01:12:17,599
Speaker 11: before we moved into our new building, you know, we didn't.

1545
01:12:17,720 --> 01:12:20,040
Speaker 11: We really couldn't do tours in the old building because

1546
01:12:20,040 --> 01:12:24,400
Speaker 11: we couldn't separate the working spaces from public spaces. But

1547
01:12:24,760 --> 01:12:27,160
Speaker 11: one of the things that you know, we wanted to achieve.

1548
01:12:27,240 --> 01:12:29,360
Speaker 11: One of my goals in the new building was I

1549
01:12:29,439 --> 01:12:31,840
Speaker 11: want to be able to provide tours for the public

1550
01:12:31,960 --> 01:12:35,160
Speaker 11: so that they can see what we're doing here, so

1551
01:12:35,280 --> 01:12:37,360
Speaker 11: that they can understand, and so that kids can be

1552
01:12:37,479 --> 01:12:40,400
Speaker 11: inspired by the work that's being done. There's so much

1553
01:12:40,439 --> 01:12:44,400
Speaker 11: interest in forensics, sure, but you know, kids are going

1554
01:12:44,479 --> 01:12:48,080
Speaker 11: into physics class or chemistry going oh my god, this

1555
01:12:48,280 --> 01:12:50,680
Speaker 11: is so boring. But then you come out to the

1556
01:12:50,760 --> 01:12:53,000
Speaker 11: crime lab and you see how that's being used on

1557
01:12:53,120 --> 01:12:56,360
Speaker 11: a daily basis to solve crimes and to help people,

1558
01:12:56,439 --> 01:12:59,960
Speaker 11: And then it becomes something more tangible and something more interesting.

1559
01:13:00,280 --> 01:13:01,960
Speaker 1: I got to say, I passed by there not too

1560
01:13:02,040 --> 01:13:05,080
Speaker 1: long ago. That new building is absolutely spectacular.

1561
01:13:04,560 --> 01:13:06,720
Speaker 6: And blue ash well, come out for a tour.

1562
01:13:06,840 --> 01:13:07,160
Speaker 4: I need to.

1563
01:13:07,240 --> 01:13:08,559
Speaker 1: I need to come in. I need to, I need

1564
01:13:08,600 --> 01:13:10,080
Speaker 1: to check it out. So I was like, oh, yeah,

1565
01:13:10,120 --> 01:13:11,599
Speaker 1: I kind of wave bit you when you're driving by.

1566
01:13:11,840 --> 01:13:13,840
Speaker 1: Let's so, what kind of stuff would be available on

1567
01:13:13,880 --> 01:13:17,599
Speaker 1: the website like for people to that our interests?

1568
01:13:17,640 --> 01:13:20,040
Speaker 5: I guess, is it is it case information? Is it?

1569
01:13:20,120 --> 01:13:20,160
Speaker 7: What?

1570
01:13:20,360 --> 01:13:22,840
Speaker 5: What's the transparency at so?

1571
01:13:23,600 --> 01:13:27,960
Speaker 11: Case information we don't provide on individual cases on the website.

1572
01:13:29,240 --> 01:13:33,920
Speaker 11: If something is adjudicated and somebody wanted some information, that's

1573
01:13:34,040 --> 01:13:39,559
Speaker 11: public records. But when a case is being investigated, of course,

1574
01:13:39,640 --> 01:13:43,840
Speaker 11: we really can't share information until everything is done. What

1575
01:13:43,960 --> 01:13:48,080
Speaker 11: we have on the website is more information whether you're

1576
01:13:48,280 --> 01:13:52,000
Speaker 11: a student wanting to go into forensics and wanting links

1577
01:13:52,120 --> 01:13:55,719
Speaker 11: for places to go, you know, opportunities available other sites

1578
01:13:55,760 --> 01:13:59,880
Speaker 11: where they can get more information. We have the biggest

1579
01:14:00,040 --> 01:14:02,880
Speaker 11: part of what I presented yesterday, and which I thought

1580
01:14:03,080 --> 01:14:06,960
Speaker 11: was important for everybody to have is we're constantly asked

1581
01:14:07,120 --> 01:14:12,280
Speaker 11: about numbers statistics. You know, how many homicides, how many suicides,

1582
01:14:12,280 --> 01:14:16,120
Speaker 11: how many naturals, how many and so we keep all

1583
01:14:16,200 --> 01:14:20,760
Speaker 11: that and it's not like we keep it up to

1584
01:14:20,880 --> 01:14:25,440
Speaker 11: date every thirty days because cases take time to be certified,

1585
01:14:25,960 --> 01:14:27,519
Speaker 11: so there's always going to be a little bit of

1586
01:14:27,560 --> 01:14:31,040
Speaker 11: a like like for example, for our twenty twenty five statistics,

1587
01:14:31,720 --> 01:14:35,080
Speaker 11: we still have about nine cases that we're certifying because

1588
01:14:35,080 --> 01:14:38,000
Speaker 11: there's information that we're waiting for that's been sent off

1589
01:14:38,080 --> 01:14:42,160
Speaker 11: to other labs, or we found out some extra information

1590
01:14:42,280 --> 01:14:46,639
Speaker 11: we're looking into the backgrounds. So but we're talking nine

1591
01:14:46,720 --> 01:14:50,360
Speaker 11: cases out of over twelve hundred cases that we are

1592
01:14:50,439 --> 01:14:54,400
Speaker 11: top seeds. Okay, so it's just a very small percentage,

1593
01:14:54,680 --> 01:14:56,760
Speaker 11: you know. And we normally have them done by the

1594
01:14:56,800 --> 01:14:59,479
Speaker 11: first quarter, so we should have those cleared in the

1595
01:14:59,560 --> 01:15:04,040
Speaker 11: next week or so. But otherwise we've had statistics there

1596
01:15:04,160 --> 01:15:07,679
Speaker 11: from twenty thirteen on and I was just mentioning tomorrow

1597
01:15:08,400 --> 01:15:11,320
Speaker 11: is my fourteenth anniversary in the office.

1598
01:15:11,640 --> 01:15:16,800
Speaker 1: Wow, congratulations fourteen. What I believe that's for meldehyde, I

1599
01:15:16,840 --> 01:15:24,040
Speaker 1: think is the fourteenth anniversary is a gift, I believe,

1600
01:15:24,160 --> 01:15:24,679
Speaker 1: I'm not sure.

1601
01:15:24,720 --> 01:15:28,920
Speaker 11: I've got to look it up for the anniversary in

1602
01:15:29,080 --> 01:15:32,680
Speaker 11: the in the office. And you know, so we have

1603
01:15:33,120 --> 01:15:36,320
Speaker 11: we have track statistics. I started in twenty twelve and

1604
01:15:37,760 --> 01:15:42,800
Speaker 11: the first year I was there, our overdose number was

1605
01:15:43,040 --> 01:15:48,080
Speaker 11: two hundred and nine and last year twenty twenty five,

1606
01:15:48,160 --> 01:15:51,280
Speaker 11: it went down to one hundred ninety four. And but

1607
01:15:51,479 --> 01:15:53,840
Speaker 11: in between, you know, we had a peak of five

1608
01:15:53,960 --> 01:15:59,920
Speaker 11: hundred and sixty seven in twenty seventeen, and you know,

1609
01:16:00,200 --> 01:16:03,639
Speaker 11: we started seeing in twenty thirteen. We had two cases

1610
01:16:03,680 --> 01:16:08,880
Speaker 11: of fentanyl two two in twenty thirteen two so, and

1611
01:16:09,040 --> 01:16:12,680
Speaker 11: then since that time it's gone up, right, and then

1612
01:16:12,720 --> 01:16:14,840
Speaker 11: we started seeing more of it on the street. So

1613
01:16:15,400 --> 01:16:18,400
Speaker 11: all the statistics are available on the website. They go

1614
01:16:18,560 --> 01:16:23,840
Speaker 11: by year, they're broken down by manner of death by

1615
01:16:24,880 --> 01:16:27,360
Speaker 11: We also have additional statistics that aren't on there yet,

1616
01:16:27,439 --> 01:16:30,000
Speaker 11: but that will be shortly about the different types of

1617
01:16:30,120 --> 01:16:33,439
Speaker 11: drugs that we're seeing. And the pie charts showing you

1618
01:16:35,280 --> 01:16:37,800
Speaker 11: what we see most of and second and so forth,

1619
01:16:37,880 --> 01:16:40,960
Speaker 11: and then if you hover over the little pieces of

1620
01:16:41,000 --> 01:16:44,120
Speaker 11: the pie, it'll actually give you numbers, not just percentages.

1621
01:16:44,560 --> 01:16:46,920
Speaker 1: Okay, so what you're saying is in fourteen years of

1622
01:16:46,920 --> 01:16:49,479
Speaker 1: your anniversary tomorrow. These are the lowest o D rates

1623
01:16:49,520 --> 01:16:49,880
Speaker 1: you've seen.

1624
01:16:51,240 --> 01:16:54,320
Speaker 11: These are the lowest overdose rates we have seen since

1625
01:16:54,360 --> 01:16:55,480
Speaker 11: I've been in office.

1626
01:16:56,400 --> 01:16:58,320
Speaker 1: In a decade and a half, that almost decade of

1627
01:16:58,360 --> 01:17:00,640
Speaker 1: that is that's incredible. Attribute that to.

1628
01:17:02,720 --> 01:17:06,200
Speaker 11: Well, I think if you remember, everybody was scratching their

1629
01:17:06,240 --> 01:17:10,080
Speaker 11: heads in twenty sixteen and seventeen when carpentanel hit our

1630
01:17:10,120 --> 01:17:13,479
Speaker 11: streets and so many people were dying, and we had

1631
01:17:13,520 --> 01:17:17,960
Speaker 11: such a huge number of overdose sets, and we were thinking,

1632
01:17:18,479 --> 01:17:20,600
Speaker 11: how are we going to get our arms around this

1633
01:17:20,680 --> 01:17:25,519
Speaker 11: situation and try and help these people, and there was

1634
01:17:25,560 --> 01:17:28,160
Speaker 11: a full core press. I think on Ohio just led

1635
01:17:28,200 --> 01:17:30,200
Speaker 11: the way, but even more so, I think Hamilton County

1636
01:17:30,280 --> 01:17:33,639
Speaker 11: led the way on number one, recognizing the problem too,

1637
01:17:34,320 --> 01:17:37,960
Speaker 11: acknowledging the problem and making sure that it's no longer

1638
01:17:38,040 --> 01:17:42,840
Speaker 11: a stigma, and actually talking about it being a health

1639
01:17:42,920 --> 01:17:46,639
Speaker 11: condition like any other health conditions, and trying to get

1640
01:17:46,680 --> 01:17:49,560
Speaker 11: people helped so that they're not ashamed to go to

1641
01:17:49,720 --> 01:17:53,280
Speaker 11: a clinic or a center, gets clean needles, et cetera.

1642
01:17:54,400 --> 01:17:57,640
Speaker 11: And then we started looking into well, where can we

1643
01:17:57,720 --> 01:17:59,920
Speaker 11: get the dollars to set up treatment centers because we

1644
01:18:00,040 --> 01:18:04,000
Speaker 11: hardly had any treatment centers when this hit. And so

1645
01:18:04,600 --> 01:18:08,439
Speaker 11: you know when the hero and Coalition form ten years ago,

1646
01:18:09,120 --> 01:18:12,360
Speaker 11: and that was true the Hamilton County Chiefs, the Police Association,

1647
01:18:12,439 --> 01:18:15,280
Speaker 11: where we recognize that we have to do something, and

1648
01:18:15,479 --> 01:18:19,120
Speaker 11: we were all in on this. And when that started,

1649
01:18:20,160 --> 01:18:23,640
Speaker 11: we started making some inroads and started making some connections

1650
01:18:24,240 --> 01:18:28,120
Speaker 11: and started working with the FEDS in the US Attorney's

1651
01:18:28,160 --> 01:18:33,360
Speaker 11: Office as far as trying to enforce the laws and

1652
01:18:33,479 --> 01:18:35,920
Speaker 11: also get the drugs off the street and making the

1653
01:18:36,040 --> 01:18:42,040
Speaker 11: punishments more meaningful so that people were it would be

1654
01:18:42,600 --> 01:18:44,840
Speaker 11: it would be more onerous if you choose that road.

1655
01:18:45,360 --> 01:18:48,439
Speaker 11: And then on the other hand, we started looking into

1656
01:18:48,680 --> 01:18:51,360
Speaker 11: how do we get prevention information out there, how do

1657
01:18:51,479 --> 01:18:55,280
Speaker 11: we make sure people understand how dangerous this really is.

1658
01:18:55,640 --> 01:18:58,840
Speaker 11: This is not you know, the pot of thirty years ago,

1659
01:18:59,000 --> 01:19:02,439
Speaker 11: This is not the crack of the nineteen eighties and nineties,

1660
01:19:02,560 --> 01:19:06,280
Speaker 11: This is not you know, the cocaine and the mess

1661
01:19:06,520 --> 01:19:09,600
Speaker 11: that people had been using. This is this was just

1662
01:19:09,680 --> 01:19:12,920
Speaker 11: a very different class of drugs and the danger was

1663
01:19:13,040 --> 01:19:13,519
Speaker 11: much higher.

1664
01:19:14,000 --> 01:19:14,960
Speaker 6: So as that.

1665
01:19:15,160 --> 01:19:17,800
Speaker 11: Moved along, and as we got more support i think

1666
01:19:17,840 --> 01:19:20,240
Speaker 11: in the community, and as we got more treatment centers.

1667
01:19:20,479 --> 01:19:23,479
Speaker 11: I mean the jail has a treatment pod now even

1668
01:19:23,520 --> 01:19:27,799
Speaker 11: they held the county justice. I think that as people

1669
01:19:28,000 --> 01:19:30,320
Speaker 11: got their minds around the idea of this is in

1670
01:19:30,439 --> 01:19:32,600
Speaker 11: our community, this is something we have to deal with.

1671
01:19:32,960 --> 01:19:35,800
Speaker 11: This is something that people are seeing at the zoo

1672
01:19:35,960 --> 01:19:38,479
Speaker 11: or at the ballpark, and you know, this is this

1673
01:19:38,680 --> 01:19:41,320
Speaker 11: is something that we all need to address. And I

1674
01:19:41,520 --> 01:19:46,120
Speaker 11: think that as more resources were used to set these

1675
01:19:46,240 --> 01:19:50,040
Speaker 11: things up, it was you know, it's three pillars. It's prevention,

1676
01:19:50,200 --> 01:19:55,280
Speaker 11: it's enforcement, and its treatments. And I think as things

1677
01:19:55,800 --> 01:19:59,840
Speaker 11: moved along and they became you know, you might have

1678
01:20:00,080 --> 01:20:02,599
Speaker 11: put more on treatment and one time more on prevention,

1679
01:20:02,720 --> 01:20:06,679
Speaker 11: at other times more on enforcement. But as those things happened,

1680
01:20:06,720 --> 01:20:11,839
Speaker 11: I think that we started seeing people maybe use less.

1681
01:20:13,560 --> 01:20:15,680
Speaker 5: And okay, yeah, yeah, that makes sense.

1682
01:20:16,200 --> 01:20:18,439
Speaker 1: Doctor Lakshmi Schimarco is on the show this morning on

1683
01:20:18,479 --> 01:20:20,680
Speaker 1: seven hundred W She's a Hamling kunt of Corner and

1684
01:20:21,160 --> 01:20:23,280
Speaker 1: kind of a break of news here she's going to

1685
01:20:23,320 --> 01:20:26,600
Speaker 1: celebrate fourteen years in office. Lowest O D rates she

1686
01:20:26,760 --> 01:20:30,000
Speaker 1: has seen since she has been Hamlin County Corner, which

1687
01:20:30,080 --> 01:20:34,240
Speaker 1: is absolutely incredible. And there's different, of course, ways to

1688
01:20:34,360 --> 01:20:37,320
Speaker 1: examine why that is right now, and you know, sadly

1689
01:20:37,320 --> 01:20:39,320
Speaker 1: I don't. We're never going to win the war on drugs.

1690
01:20:39,360 --> 01:20:41,759
Speaker 1: It's not a winnable thing. It's just pivots and it shifts.

1691
01:20:42,080 --> 01:20:44,360
Speaker 1: How much do you attribute that to? Also, people are

1692
01:20:44,400 --> 01:20:47,080
Speaker 1: aware the fentanyl's out there, and I mean kids now

1693
01:20:47,240 --> 01:20:49,680
Speaker 1: will go to clubs and bring test trips with them

1694
01:20:49,720 --> 01:20:51,559
Speaker 1: to make sure what they're using as a party drug

1695
01:20:51,640 --> 01:20:52,599
Speaker 1: is not laced with fentanyl.

1696
01:20:53,680 --> 01:20:53,840
Speaker 6: Right.

1697
01:20:54,120 --> 01:20:56,599
Speaker 11: So that's that's the kind of stuff that I'm talking

1698
01:20:56,640 --> 01:21:00,160
Speaker 11: about that was created in the last few years to

1699
01:21:00,320 --> 01:21:05,479
Speaker 11: help people and taking the stigma away, you know, from

1700
01:21:05,600 --> 01:21:09,320
Speaker 11: drug un to start treatment, and to raising awareness and

1701
01:21:09,720 --> 01:21:13,320
Speaker 11: the prevention aspect of it, especially at a kid level,

1702
01:21:13,360 --> 01:21:17,320
Speaker 11: the young young adult level. And the fact that it's

1703
01:21:17,400 --> 01:21:20,000
Speaker 11: totally normal to take a strip with you. You know

1704
01:21:20,120 --> 01:21:21,840
Speaker 11: that nobody's going to say, hey, what is that word

1705
01:21:21,880 --> 01:21:24,040
Speaker 11: thing you're hearing with you, but actually it's, hey, that's

1706
01:21:24,080 --> 01:21:27,400
Speaker 11: a smart thing to do. And all of those things

1707
01:21:27,439 --> 01:21:31,080
Speaker 11: I think contributed to this. Now you'll notice as Sentinel

1708
01:21:31,200 --> 01:21:34,559
Speaker 11: is being stopped at the border lately, which I'm very

1709
01:21:34,600 --> 01:21:37,720
Speaker 11: grateful for the fact that we're keeping it out of

1710
01:21:37,760 --> 01:21:46,040
Speaker 11: our community. Cocaine production has tripled, and we are seeing

1711
01:21:46,360 --> 01:21:49,760
Speaker 11: more cocaine. We have been the last two years, have

1712
01:21:49,880 --> 01:21:52,479
Speaker 11: been seeing more cocaine on the streets of fact. In

1713
01:21:52,560 --> 01:21:57,400
Speaker 11: the twenty twenty five overdose death certificate staffs it was

1714
01:21:57,840 --> 01:22:01,640
Speaker 11: thirty five percent due to opia. Actually not not the

1715
01:22:01,720 --> 01:22:09,479
Speaker 11: death stats, sorry, actual seizure stats opioids thirty four percent cocaine.

1716
01:22:10,080 --> 01:22:10,240
Speaker 5: Huh.

1717
01:22:11,280 --> 01:22:14,439
Speaker 1: Yeah, it's it's cyclical, right, Cocaine will come back, Heroin

1718
01:22:14,439 --> 01:22:17,479
Speaker 1: will come back, some methyl cove and it just it's

1719
01:22:17,800 --> 01:22:19,559
Speaker 1: a rinse and repeat kind of cycle. And you're always

1720
01:22:19,600 --> 01:22:22,240
Speaker 1: kind of like playing Poppable with this in your office.

1721
01:22:22,280 --> 01:22:23,720
Speaker 1: There's a new one out And I mentioned at the

1722
01:22:23,760 --> 01:22:27,479
Speaker 1: beginning here all actually somarco uh that is a chlor uh.

1723
01:22:27,600 --> 01:22:31,960
Speaker 1: Cyclophine is what it's called. Yeah, detected in around here

1724
01:22:32,040 --> 01:22:35,479
Speaker 1: I think last August, according to Tom Signing and the

1725
01:22:35,760 --> 01:22:38,840
Speaker 1: great work that they do. How concerned should we be?

1726
01:22:38,920 --> 01:22:41,040
Speaker 1: I mean, are you starting to see that at your

1727
01:22:41,160 --> 01:22:42,080
Speaker 1: end as a corner?

1728
01:22:43,160 --> 01:22:43,320
Speaker 7: Right?

1729
01:22:43,600 --> 01:22:49,080
Speaker 11: So cyclophine the name is actually en propia nitral chlorophine.

1730
01:22:50,600 --> 01:22:54,559
Speaker 11: It's a class of drugs that we started seeing last

1731
01:22:54,680 --> 01:22:57,680
Speaker 11: summer in very small amounts. We saw it in the

1732
01:22:57,840 --> 01:23:01,000
Speaker 11: drug section. So in other words, not that's college section

1733
01:23:01,080 --> 01:23:03,880
Speaker 11: where we're pulling it out of bodies, but actually on

1734
01:23:04,000 --> 01:23:05,360
Speaker 11: the streets when they're being.

1735
01:23:05,280 --> 01:23:05,880
Speaker 6: Seized, and.

1736
01:23:07,800 --> 01:23:08,120
Speaker 7: It is.

1737
01:23:09,720 --> 01:23:13,200
Speaker 11: Estimated to be between four and ten times more potents

1738
01:23:13,240 --> 01:23:17,439
Speaker 11: and sentinel, but you know, considerably less potent than car funnel, which,

1739
01:23:17,520 --> 01:23:19,040
Speaker 11: by the way, we are still seeing. I mean, we

1740
01:23:19,080 --> 01:23:23,679
Speaker 11: had nine cases of that last year, but total since

1741
01:23:23,800 --> 01:23:27,479
Speaker 11: last summer through the end of February, we've had fifty

1742
01:23:27,520 --> 01:23:34,320
Speaker 11: two cases and that were in the fifty two actual

1743
01:23:35,040 --> 01:23:38,920
Speaker 11: cases that has been found in mixtures. And that's out

1744
01:23:38,960 --> 01:23:42,200
Speaker 11: of over eighty three hundred mixtures that we evaluated last year.

1745
01:23:42,200 --> 01:23:45,479
Speaker 1: Wow, eighty three hundred different types of formulations designed to

1746
01:23:45,600 --> 01:23:46,400
Speaker 1: will kill people.

1747
01:23:47,400 --> 01:23:50,640
Speaker 11: Yeah, so the drug section, you know, evaluated they had

1748
01:23:50,800 --> 01:23:53,360
Speaker 11: over eighty three hundred cases and this popped up in

1749
01:23:53,520 --> 01:23:59,400
Speaker 11: fifty two. So we're aware of it. We know that

1750
01:23:59,479 --> 01:24:03,080
Speaker 11: our neighbor states down in Tennessee in particular, have had

1751
01:24:04,240 --> 01:24:08,320
Speaker 11: they've attributed to multiple deaths to it. We have not

1752
01:24:08,920 --> 01:24:13,880
Speaker 11: certified any depth due to cyclophene in our office because

1753
01:24:13,920 --> 01:24:18,240
Speaker 11: we've never seen it in large amounts, even in mixtures,

1754
01:24:18,560 --> 01:24:22,280
Speaker 11: and we've never seen it isolated. So it's always in

1755
01:24:22,400 --> 01:24:27,240
Speaker 11: mixtures and there's usually a much larger amount of sentinel

1756
01:24:27,280 --> 01:24:27,960
Speaker 11: mixed in with that.

1757
01:24:28,400 --> 01:24:30,440
Speaker 5: Is this coming in from out of country.

1758
01:24:32,160 --> 01:24:37,759
Speaker 11: As far as I know, because it is a synthetic opioid,

1759
01:24:37,840 --> 01:24:40,840
Speaker 11: it could be made anywhere, but more than likely it

1760
01:24:40,960 --> 01:24:42,479
Speaker 11: is coming in from out of the country.

1761
01:24:42,720 --> 01:24:42,960
Speaker 5: Yeah.

1762
01:24:43,240 --> 01:24:44,920
Speaker 4: Yeah, And that's the thing.

1763
01:24:44,880 --> 01:24:47,240
Speaker 11: About heroin we were talking about, you know, heroin's and

1764
01:24:47,320 --> 01:24:50,080
Speaker 11: organic compounds. You have to worry about the weather, you

1765
01:24:50,200 --> 01:24:52,479
Speaker 11: have to worry about the poppies, you know, the growth

1766
01:24:52,520 --> 01:24:58,599
Speaker 11: your crops. Well, sentyl and sentyl variants and cyclophenes, these

1767
01:24:58,640 --> 01:25:00,800
Speaker 11: are all synthetics. They can made in a laugh.

1768
01:25:02,439 --> 01:25:04,920
Speaker 1: Laxhay Schamarco is the hemliconic corner of the news at

1769
01:25:05,200 --> 01:25:08,639
Speaker 1: lowest levels of OD deaths. She's seen in her fourteen

1770
01:25:08,720 --> 01:25:10,880
Speaker 1: year career as the corner of Hamlin County, which is

1771
01:25:10,920 --> 01:25:12,760
Speaker 1: great news. Now we're seeing new drugs come in all

1772
01:25:12,760 --> 01:25:17,320
Speaker 1: the time, like cychlorophine, which is stronger than a fentanyl,

1773
01:25:17,400 --> 01:25:19,840
Speaker 1: not as bad as car fentyl, but still that's the

1774
01:25:19,920 --> 01:25:22,639
Speaker 1: thing is these people who create these products are looking

1775
01:25:22,720 --> 01:25:25,120
Speaker 1: for different ways around the well, not around the law,

1776
01:25:25,200 --> 01:25:27,799
Speaker 1: but to get under the radar. And there's different traps

1777
01:25:27,840 --> 01:25:29,639
Speaker 1: out there, of course. And now we're seeing a spike

1778
01:25:29,680 --> 01:25:31,760
Speaker 1: in the amount of cocaine, and so i'd assume at

1779
01:25:31,800 --> 01:25:35,000
Speaker 1: some point cocaine will be laced with cychlorophine or something else.

1780
01:25:35,360 --> 01:25:38,200
Speaker 1: If we're not seeing that already, We've we.

1781
01:25:38,320 --> 01:25:42,240
Speaker 11: Have seen in some of the mixtures fentanyl and cocaine

1782
01:25:42,520 --> 01:25:43,960
Speaker 11: and other things mixed together.

1783
01:25:44,080 --> 01:25:45,080
Speaker 6: We have seen that.

1784
01:25:46,920 --> 01:25:48,680
Speaker 1: You've been tracking the epidemic for a years, seeing the

1785
01:25:48,720 --> 01:25:51,360
Speaker 1: waves shift all over. Does this to you feel like

1786
01:25:51,439 --> 01:25:53,200
Speaker 1: because you've seen this pattern before, does it feel like

1787
01:25:53,280 --> 01:25:55,200
Speaker 1: the beginning of another wave or is it too early

1788
01:25:55,360 --> 01:25:56,080
Speaker 1: or don't you think so?

1789
01:25:57,080 --> 01:25:59,519
Speaker 11: Honestly, we've been we were just talking about that in

1790
01:25:59,560 --> 01:26:05,720
Speaker 11: our manner, just meaning we've seen over the last you know, seven, eight,

1791
01:26:05,800 --> 01:26:08,840
Speaker 11: ten years, we've seen different spikes of different things that

1792
01:26:08,920 --> 01:26:10,920
Speaker 11: we thought, oh now he's got another one we got

1793
01:26:11,000 --> 01:26:13,559
Speaker 11: to worry about, you know, and this happens all the time.

1794
01:26:14,160 --> 01:26:15,760
Speaker 6: Like you said, it's a bit like whack a mole.

1795
01:26:18,680 --> 01:26:21,679
Speaker 11: You know the fact that we haven't had any cases

1796
01:26:23,040 --> 01:26:25,479
Speaker 11: recently showing up in any of the drugs. You know,

1797
01:26:25,600 --> 01:26:28,639
Speaker 11: maybe it's just maybe it's the supply and demand thing.

1798
01:26:28,800 --> 01:26:31,639
Speaker 11: Maybe it's just something they experimented with and maybe it'll

1799
01:26:31,720 --> 01:26:37,000
Speaker 11: go away. We're sort of cautious and we just keep

1800
01:26:37,000 --> 01:26:39,200
Speaker 11: an eye on these things to see if they become

1801
01:26:39,280 --> 01:26:42,680
Speaker 11: an issue. So far, we're just keeping an eye. We

1802
01:26:43,200 --> 01:26:48,680
Speaker 11: haven't seen anything particularly alarming in the trends, so we'll

1803
01:26:48,760 --> 01:26:50,560
Speaker 11: just keep watch on it. And you know, we have

1804
01:26:50,640 --> 01:26:52,679
Speaker 11: people in our drug section that are really good about

1805
01:26:53,760 --> 01:26:57,240
Speaker 11: scouring the social media bikes and reddits, spikes and whatnot.

1806
01:26:57,360 --> 01:27:00,160
Speaker 11: And you know, when something news starts popping out up

1807
01:27:00,240 --> 01:27:03,479
Speaker 11: and even before it hits our lab, they're already aware

1808
01:27:03,520 --> 01:27:03,680
Speaker 11: of it.

1809
01:27:04,880 --> 01:27:06,880
Speaker 5: It's about time we had a good news story.

1810
01:27:06,880 --> 01:27:08,439
Speaker 1: I think this is like a good news story, right,

1811
01:27:08,800 --> 01:27:12,439
Speaker 1: the fact that overdose deaths are they like, I think

1812
01:27:12,600 --> 01:27:13,680
Speaker 1: the only one talking about this.

1813
01:27:14,280 --> 01:27:16,240
Speaker 5: You know, it's doom and gloom in the news. It's

1814
01:27:16,240 --> 01:27:18,240
Speaker 5: a great story, you know.

1815
01:27:18,360 --> 01:27:20,439
Speaker 11: And I've been saying that for quite a while. The

1816
01:27:21,320 --> 01:27:24,439
Speaker 11: news usually covers the doom and gloom, and everybody seems

1817
01:27:24,479 --> 01:27:30,400
Speaker 11: to be, you know, inordinately interested in murders and you know, bombings.

1818
01:27:29,920 --> 01:27:30,719
Speaker 5: And everything else.

1819
01:27:31,120 --> 01:27:33,920
Speaker 11: Like you hardly ever get any good news. And the

1820
01:27:34,040 --> 01:27:37,920
Speaker 11: good news about this is is it, you know, keep

1821
01:27:38,040 --> 01:27:40,120
Speaker 11: up the good work. I mean, that's the message for me,

1822
01:27:40,600 --> 01:27:44,280
Speaker 11: is that what you're doing is working. So take heart

1823
01:27:44,360 --> 01:27:47,200
Speaker 11: in the fact that you know we are saving lives.

1824
01:27:47,280 --> 01:27:49,640
Speaker 11: It is not a well, this is an endless thing.

1825
01:27:49,680 --> 01:27:51,640
Speaker 11: We're never going to get our hands on it. No,

1826
01:27:51,880 --> 01:27:54,600
Speaker 11: we are never going to get rid of drugs in

1827
01:27:54,680 --> 01:27:57,479
Speaker 11: our community, in the United States and in the world.

1828
01:27:57,600 --> 01:28:01,120
Speaker 11: I mean they're out there. People have choices to make.

1829
01:28:01,840 --> 01:28:05,400
Speaker 11: It's educating people to make smarter choices. That's what we're

1830
01:28:05,479 --> 01:28:09,000
Speaker 11: trying to do. And the fact that we're saving lives

1831
01:28:09,160 --> 01:28:10,880
Speaker 11: means that it's working.

1832
01:28:11,080 --> 01:28:14,880
Speaker 1: It is congratulations on that, but especially fourteen years is

1833
01:28:14,920 --> 01:28:17,720
Speaker 1: our corner doc, the one doc you never want to see.

1834
01:28:17,920 --> 01:28:19,559
Speaker 1: But I guess if you saw you you wouldn't even

1835
01:28:19,600 --> 01:28:21,240
Speaker 1: know it. So happy anniversary.

1836
01:28:22,120 --> 01:28:23,720
Speaker 5: It's the viewing's stay right.

1837
01:28:23,760 --> 01:28:25,080
Speaker 1: I don't want to be a You don't want to

1838
01:28:25,080 --> 01:28:28,120
Speaker 1: be a patient, is what I'm saying, because not a

1839
01:28:28,200 --> 01:28:28,799
Speaker 1: good outcome.

1840
01:28:29,280 --> 01:28:31,160
Speaker 5: All the best you congratulations, will talk to some and

1841
01:28:31,240 --> 01:28:33,640
Speaker 5: be well, okay, thanks so much. All right, take care.

1842
01:28:33,760 --> 01:28:34,000
Speaker 7: There you go.

1843
01:28:34,080 --> 01:28:36,840
Speaker 1: A lexpismarco our corner on the Scotsland Show celebrating some

1844
01:28:36,920 --> 01:28:38,240
Speaker 1: good news today seven hundred w.

1845
01:28:38,360 --> 01:28:39,080
Speaker 5: Weldom for sale.

1846
01:28:39,200 --> 01:28:42,000
Speaker 9: This question, is it really worth holding on to that

1847
01:28:42,120 --> 01:28:44,439
Speaker 9: time share that you know you need to get rid of.

1848
01:28:44,800 --> 01:28:48,080
Speaker 9: Here's the truth. The average maintenance fee just went up

1849
01:28:48,120 --> 01:28:51,120
Speaker 9: over seventeen percent. That could have been one hundred and

1850
01:28:51,280 --> 01:28:54,200
Speaker 9: seventeen percent, and there's nothing you can do about it.

1851
01:28:54,400 --> 01:28:56,360
Speaker 9: When you buy a times here, you give them a

1852
01:28:56,479 --> 01:29:00,719
Speaker 9: blank check for annual maintenance and assessment fees. Up McDowell,

1853
01:29:00,840 --> 01:29:04,040
Speaker 9: founder of Wesley Financial Group for fifteen years, I've helped

1854
01:29:04,080 --> 01:29:07,840
Speaker 9: over fifty thousand families cancel their tom share, not sell it,

1855
01:29:08,160 --> 01:29:11,400
Speaker 9: not transfer it, cancel it. Did you buy Tomshare because

1856
01:29:11,439 --> 01:29:13,760
Speaker 9: they told you it was a great investment and your

1857
01:29:13,840 --> 01:29:14,959
Speaker 9: maintenance fees would.

1858
01:29:14,800 --> 01:29:16,360
Speaker 4: Never go up? That's a law.

1859
01:29:16,680 --> 01:29:19,559
Speaker 9: Are you ready to get rid of your time share

1860
01:29:19,840 --> 01:29:22,519
Speaker 9: once and for all? Simply call us and I'll send

1861
01:29:22,560 --> 01:29:25,839
Speaker 9: you our Tomshare exit kit that explains all your options

1862
01:29:25,920 --> 01:29:26,720
Speaker 9: for cancelation.

1863
01:29:27,040 --> 01:29:29,519
Speaker 12: Call Wesley now for your time Share exit kit. Eight

1864
01:29:29,600 --> 01:29:31,840
Speaker 12: hundred eight five one five seventeen seventy one. That's eight

1865
01:29:31,960 --> 01:29:34,559
Speaker 12: hundred five one five seventeen seventy one. Eight hundred eight

1866
01:29:34,560 --> 01:29:40,719
Speaker 12: five one five seventeen seventy one. Jeff Wellernissan dot Com, Cheez,

1867
01:29:40,840 --> 01:29:46,080
Speaker 12: the Princess of Property, the Queen of closings. Fuck touch

1868
01:29:46,160 --> 01:29:46,920
Speaker 12: us out deals.

1869
01:29:48,040 --> 01:29:52,240
Speaker 9: It's a realistic Time with Michelle Sloan All hell, the

1870
01:29:52,439 --> 01:29:55,320
Speaker 9: bestest Remax time agent I've ever met.

1871
01:29:55,840 --> 01:29:59,920
Speaker 5: On seven hundred WLW Hello, wait for it, Wait for it?

1872
01:30:00,200 --> 01:30:01,680
Speaker 5: Wait for it? Do you hear that? Do you hear it?

1873
01:30:02,280 --> 01:30:02,320
Speaker 6: No?

1874
01:30:02,600 --> 01:30:02,640
Speaker 7: What?

1875
01:30:03,000 --> 01:30:03,320
Speaker 4: Wayne?

1876
01:30:03,439 --> 01:30:06,760
Speaker 5: Listen? Listen what waiting for the some pump noise to

1877
01:30:06,840 --> 01:30:07,320
Speaker 5: kick back on?

1878
01:30:07,520 --> 01:30:12,280
Speaker 13: Oh my gosh, every thirteen seconds or less. Yeah, that's

1879
01:30:12,320 --> 01:30:15,160
Speaker 13: some pump is an oldver drive. And there's a lot

1880
01:30:15,240 --> 01:30:17,320
Speaker 13: of wet basements unfortunately this morning.

1881
01:30:17,439 --> 01:30:19,519
Speaker 1: No daughter just texted me her basement's a little wet,

1882
01:30:19,640 --> 01:30:21,360
Speaker 1: so good day for our friends at the basement.

1883
01:30:21,439 --> 01:30:21,759
Speaker 5: Doctor.

1884
01:30:22,720 --> 01:30:26,439
Speaker 1: Yeah, call Bobby Miles. Bobby's Bobby. His crews are working

1885
01:30:26,479 --> 01:30:28,439
Speaker 1: non stop right now. Guarantee you got a wet basement.

1886
01:30:28,479 --> 01:30:29,519
Speaker 1: That's the people you want to call.

1887
01:30:29,600 --> 01:30:29,960
Speaker 5: They won't.

1888
01:30:30,479 --> 01:30:32,160
Speaker 1: That's a good deal. They'll take care of you. They'll

1889
01:30:32,200 --> 01:30:35,360
Speaker 1: hook you up, fair price, great job, warranted, that's what

1890
01:30:35,439 --> 01:30:35,760
Speaker 1: you want.

1891
01:30:36,160 --> 01:30:39,040
Speaker 13: But understand, I'm going to say you have to be

1892
01:30:39,200 --> 01:30:42,400
Speaker 13: patient because there are so many people. I was just

1893
01:30:42,520 --> 01:30:47,040
Speaker 13: looking peruising my Facebook page and there's like all kinds

1894
01:30:47,080 --> 01:30:49,280
Speaker 13: of help help.

1895
01:30:52,160 --> 01:30:54,639
Speaker 12: Oh full of water.

1896
01:30:56,280 --> 01:30:59,240
Speaker 13: Yeah, it is an ugly few days and the plumbers

1897
01:30:59,280 --> 01:31:01,400
Speaker 13: are going to be working over time.

1898
01:31:01,439 --> 01:31:03,639
Speaker 1: Yeah, we warned you about making sure that some pump

1899
01:31:03,760 --> 01:31:06,600
Speaker 1: was working. It's too late now, yeah it is. It

1900
01:31:06,760 --> 01:31:09,280
Speaker 1: was too late. So yeah, we moved a new house

1901
01:31:09,320 --> 01:31:12,240
Speaker 1: over the summer. And uh, it's funny because you know

1902
01:31:12,320 --> 01:31:16,320
Speaker 1: the some pump well, and the pump itself is like

1903
01:31:16,400 --> 01:31:19,200
Speaker 1: right over the right under our bedroom. So every time

1904
01:31:19,240 --> 01:31:21,400
Speaker 1: it goes off, it like wakes you up in the

1905
01:31:21,400 --> 01:31:23,240
Speaker 1: middle of night, like I gotta I gotta get.

1906
01:31:23,120 --> 01:31:25,000
Speaker 5: Some sound insulation done there. I'll get around to it

1907
01:31:25,040 --> 01:31:25,439
Speaker 5: at some point.

1908
01:31:25,520 --> 01:31:27,160
Speaker 13: Although you know what, it's a little bit of a

1909
01:31:27,200 --> 01:31:29,840
Speaker 13: peace of mind because every time checks on and checks out,

1910
01:31:30,080 --> 01:31:32,799
Speaker 13: yeah yeah, yeah, yeah.

1911
01:31:32,680 --> 01:31:34,080
Speaker 1: But then you think like, oh my god, is it

1912
01:31:34,200 --> 01:31:35,719
Speaker 1: is it gonna ever gonna turn off? Is it gonna

1913
01:31:35,720 --> 01:31:37,639
Speaker 1: turn on? Is it flooding right now? I don't want

1914
01:31:37,640 --> 01:31:39,719
Speaker 1: to be reminded of it. I know, I know it's working,

1915
01:31:39,760 --> 01:31:41,160
Speaker 1: but I don't want to know it's working.

1916
01:31:42,200 --> 01:31:42,439
Speaker 10: I do.

1917
01:31:43,240 --> 01:31:44,799
Speaker 4: I like to know that it's working.

1918
01:31:45,000 --> 01:31:48,720
Speaker 5: Yeah. Yeah. Before we get into your topic here, which

1919
01:31:48,760 --> 01:31:48,920
Speaker 5: is what.

1920
01:31:50,160 --> 01:31:54,280
Speaker 13: It's tax time and what what kind of tax items

1921
01:31:54,400 --> 01:31:55,760
Speaker 13: in your home and around your home?

1922
01:31:55,880 --> 01:31:58,240
Speaker 4: Can you possibly right off?

1923
01:31:58,560 --> 01:31:59,960
Speaker 1: Okay, before we get into that, I want to play

1924
01:32:00,080 --> 01:32:03,519
Speaker 1: this audio here if you have cause my I'll sit

1925
01:32:03,560 --> 01:32:05,880
Speaker 1: and watch like murder shows or war and my wife

1926
01:32:05,880 --> 01:32:09,040
Speaker 1: will sit on her phone and scroll Instagram and she's like, oh,

1927
01:32:09,080 --> 01:32:09,720
Speaker 1: you got to see this.

1928
01:32:10,280 --> 01:32:11,080
Speaker 5: This is audio of it.

1929
01:32:11,479 --> 01:32:13,920
Speaker 1: Because we always rip on hoas and just how insane

1930
01:32:14,000 --> 01:32:17,040
Speaker 1: this is. But this is great audio of a guy

1931
01:32:17,120 --> 01:32:21,400
Speaker 1: who got called before his Hoa's Homework Association about his

1932
01:32:22,040 --> 01:32:23,320
Speaker 1: light temperature.

1933
01:32:23,439 --> 01:32:28,160
Speaker 14: Listen, No, we're dressing while your house looks like a

1934
01:32:28,240 --> 01:32:31,479
Speaker 14: gas station at two am. You have five thousand kelvin, Carl,

1935
01:32:32,479 --> 01:32:35,240
Speaker 14: But cool light isn't neighborly and isn't who you want

1936
01:32:35,280 --> 01:32:35,400
Speaker 14: to be.

1937
01:32:35,760 --> 01:32:37,880
Speaker 4: We are a warm light community.

1938
01:32:41,960 --> 01:32:45,120
Speaker 1: Yeah, Carl, Yeah, Carl, get you put it together. It

1939
01:32:45,240 --> 01:32:49,839
Speaker 1: looks like a gas station. We're a warm light, We're neighboring.

1940
01:32:49,880 --> 01:32:52,599
Speaker 1: We're a warm light community. You got that's a problem

1941
01:32:52,680 --> 01:32:54,960
Speaker 1: with HOA. Busy bodies and I know they have a

1942
01:32:55,080 --> 01:32:56,680
Speaker 1: role and it's important, and you want to make sure

1943
01:32:56,760 --> 01:32:58,880
Speaker 1: maintain neighborhood standards and keep your property valves.

1944
01:32:59,000 --> 01:32:59,760
Speaker 5: You know, you don't want to.

1945
01:33:01,520 --> 01:33:05,160
Speaker 1: A semi parked in your front driveway all day long.

1946
01:33:05,200 --> 01:33:07,120
Speaker 1: You know, if if that's you and you need a park,

1947
01:33:07,160 --> 01:33:08,880
Speaker 1: your semi then you know, you can't have an h

1948
01:33:08,920 --> 01:33:11,720
Speaker 1: O A. But man, and some of these people are like,

1949
01:33:11,840 --> 01:33:14,160
Speaker 1: now we've got the light temperature police out there.

1950
01:33:14,240 --> 01:33:15,400
Speaker 5: You know what light temperature is.

1951
01:33:15,479 --> 01:33:18,040
Speaker 1: It's like, you know, fluorescent lights are at a certain

1952
01:33:18,479 --> 01:33:20,559
Speaker 1: they call temperature, and you may go, yeah, it's kind

1953
01:33:20,600 --> 01:33:22,960
Speaker 1: of bright in here. Well, warm light is the nice

1954
01:33:23,000 --> 01:33:25,800
Speaker 1: soft you know yellow light bulbs and the more bright

1955
01:33:25,880 --> 01:33:26,880
Speaker 1: ones are more like daylight.

1956
01:33:26,960 --> 01:33:28,040
Speaker 5: And that's what they're talking about.

1957
01:33:28,080 --> 01:33:31,360
Speaker 1: But they're actually measuring how how much And it's measured

1958
01:33:31,400 --> 01:33:33,240
Speaker 1: in kelvin by the way, k E l v I

1959
01:33:33,439 --> 01:33:34,599
Speaker 1: N they're measuring.

1960
01:33:34,640 --> 01:33:37,479
Speaker 5: They're out there measuring the neighbors light temperature. That's insane.

1961
01:33:38,160 --> 01:33:40,280
Speaker 13: It is insane. Are you able to play that again?

1962
01:33:40,320 --> 01:33:41,559
Speaker 13: Because it's just precious.

1963
01:33:41,880 --> 01:33:44,920
Speaker 5: It is so it is so good. It is just

1964
01:33:45,040 --> 01:33:45,479
Speaker 5: so good.

1965
01:33:46,200 --> 01:33:48,160
Speaker 4: All right, a gas station.

1966
01:33:48,040 --> 01:33:48,719
Speaker 9: At two am?

1967
01:33:48,840 --> 01:33:52,800
Speaker 14: You want five thousand kelvin, Carl, the cool light isn't

1968
01:33:52,840 --> 01:33:54,560
Speaker 14: neighborly and isn't who you want to be.

1969
01:33:54,880 --> 01:33:56,519
Speaker 4: We are a warm light community.

1970
01:33:57,680 --> 01:34:00,960
Speaker 1: It is a neighborly Curl. It's not who you want, Curl.

1971
01:34:01,000 --> 01:34:04,240
Speaker 1: It's five thousand. It's five thousand, Calvin Curl, he's old beats.

1972
01:34:05,400 --> 01:34:06,160
Speaker 8: Oh my god.

1973
01:34:06,479 --> 01:34:08,200
Speaker 13: When I heard that, I had to play it like

1974
01:34:08,360 --> 01:34:10,360
Speaker 13: four times because I'm like, and then I had to

1975
01:34:10,400 --> 01:34:10,720
Speaker 13: share it.

1976
01:34:10,720 --> 01:34:14,640
Speaker 1: With Howling, just absolutely howling at that. It's got to

1977
01:34:14,640 --> 01:34:16,800
Speaker 1: be Florida. That's that's got Florida all over it. Right,

1978
01:34:16,960 --> 01:34:20,240
Speaker 1: she was one serious though I know it sounded like

1979
01:34:20,280 --> 01:34:23,519
Speaker 1: a bit. It did sound like a bit. I think

1980
01:34:23,600 --> 01:34:28,960
Speaker 1: the whole h O a channel with the crazies that

1981
01:34:29,080 --> 01:34:31,320
Speaker 1: could probably be like a whole segment at some point

1982
01:34:31,439 --> 01:34:34,040
Speaker 1: because it's just funny. Nothing you can do about it.

1983
01:34:34,080 --> 01:34:37,280
Speaker 1: You signed the deed. Well, I don't think in the

1984
01:34:37,760 --> 01:34:40,360
Speaker 1: it's indeed restriction. You signed the contract, right, I don't.

1985
01:34:40,160 --> 01:34:44,679
Speaker 13: Think in the HOA rules it says what your Calvin

1986
01:34:44,840 --> 01:34:45,960
Speaker 13: has to be for your.

1987
01:34:47,360 --> 01:34:52,720
Speaker 1: It's Calvin is our nephew. Calvin is okay Calvin. Yeah,

1988
01:34:52,760 --> 01:34:56,519
Speaker 1: but it's something you don't need to know about. But

1989
01:34:56,560 --> 01:34:59,479
Speaker 1: I will say that wormlight is it's friendlier and in

1990
01:34:59,600 --> 01:35:01,600
Speaker 1: certainly if you have some. We had a neighbor that

1991
01:35:01,760 --> 01:35:04,639
Speaker 1: had put I don't know the CFC, remember those old

1992
01:35:04,720 --> 01:35:08,000
Speaker 1: curly que light bulbs in and it looked like CBG

1993
01:35:08,720 --> 01:35:10,479
Speaker 1: in their living room. But I'm like, I can shut

1994
01:35:10,520 --> 01:35:12,160
Speaker 1: my blinds. It doesn't bother me at all. But I

1995
01:35:12,200 --> 01:35:13,960
Speaker 1: don't know how you're living. It's given me a headache

1996
01:35:13,960 --> 01:35:14,760
Speaker 1: from this far away.

1997
01:35:14,800 --> 01:35:15,439
Speaker 7: But a.

1998
01:35:17,320 --> 01:35:19,800
Speaker 13: Lot of led lights there, they tend to be bright.

1999
01:35:19,880 --> 01:35:23,439
Speaker 13: I mean you you are complaining, old man about people

2000
01:35:23,560 --> 01:35:26,880
Speaker 13: driving with their headlights on and blinding you.

2001
01:35:27,760 --> 01:35:29,840
Speaker 4: You think that they have their brights on. But I

2002
01:35:29,920 --> 01:35:31,120
Speaker 4: think it's just a new.

2003
01:35:31,160 --> 01:35:34,120
Speaker 5: Yeah, it's a new ball. Some of them are right outrageous.

2004
01:35:34,160 --> 01:35:37,519
Speaker 1: But yeah, all right, let's talk about tax time here

2005
01:35:37,840 --> 01:35:40,880
Speaker 1: and deductions and everything else. If you're doing your own stuff.

2006
01:35:41,520 --> 01:35:41,920
Speaker 4: That's right.

2007
01:35:42,160 --> 01:35:45,840
Speaker 13: So while I'm not a tax advisor, many money god,

2008
01:35:46,240 --> 01:35:49,439
Speaker 13: thank goodness, right this time of year is you're swamped

2009
01:35:49,439 --> 01:35:49,880
Speaker 13: if you are.

2010
01:35:50,479 --> 01:35:51,599
Speaker 4: But there's so many.

2011
01:35:52,120 --> 01:35:56,240
Speaker 13: One in five, it's estimated one in five people in

2012
01:35:56,320 --> 01:35:59,680
Speaker 13: the Cincinnati area actually work from home or have a

2013
01:35:59,760 --> 01:36:03,479
Speaker 13: side business, a side hustle where they work from home,

2014
01:36:03,680 --> 01:36:06,840
Speaker 13: and they have the opportunity not for sure you got

2015
01:36:06,920 --> 01:36:09,160
Speaker 13: to talk to a tax person that's not me, But

2016
01:36:09,880 --> 01:36:12,400
Speaker 13: you may have the opportunity to write it off, Jerry,

2017
01:36:12,840 --> 01:36:17,040
Speaker 13: and have some write offs that will give you some

2018
01:36:17,120 --> 01:36:21,200
Speaker 13: tax benefits. And that's what we're talking about today. First

2019
01:36:21,240 --> 01:36:24,679
Speaker 13: and foremost, and the biggest one is the home office

2020
01:36:25,280 --> 01:36:28,400
Speaker 13: and the home office space has to be a space

2021
01:36:28,479 --> 01:36:33,640
Speaker 13: in your home that is dedicated to ninety percent of

2022
01:36:33,720 --> 01:36:37,040
Speaker 13: the time you do work in that space. So it

2023
01:36:37,120 --> 01:36:38,719
Speaker 13: can be an office, it can be a second bedroom,

2024
01:36:38,760 --> 01:36:41,120
Speaker 13: it can be a portion of your lower level. It

2025
01:36:41,200 --> 01:36:44,600
Speaker 13: can't just be the corner of your couch where you

2026
01:36:45,240 --> 01:36:48,960
Speaker 13: watch TV and get on your laptop. That doesn't count.

2027
01:36:49,760 --> 01:36:54,519
Speaker 13: And so homes with dedicated areas. Again, if you get

2028
01:36:54,560 --> 01:36:59,680
Speaker 13: a W two, you're probably not. You're probably not. It's

2029
01:36:59,720 --> 01:37:02,760
Speaker 13: not go to work for you. But just talk to

2030
01:37:02,880 --> 01:37:06,640
Speaker 13: your tax accountant. You have to also itemize, so if

2031
01:37:06,680 --> 01:37:09,800
Speaker 13: you do the easy thing, you're not going to be

2032
01:37:09,840 --> 01:37:13,000
Speaker 13: able to get these kinds of write offs. And it's

2033
01:37:13,040 --> 01:37:15,599
Speaker 13: interesting because if you do have a home based business

2034
01:37:15,680 --> 01:37:17,880
Speaker 13: and a lot of people they work from home, ei're

2035
01:37:17,920 --> 01:37:20,599
Speaker 13: fifty percent of the time, sixty percent of the time,

2036
01:37:20,760 --> 01:37:24,800
Speaker 13: or even more, you have an opportunity to write that

2037
01:37:24,920 --> 01:37:28,320
Speaker 13: off and not just the space. And with the space

2038
01:37:28,400 --> 01:37:30,559
Speaker 13: I think I have it, Yeah, five dollars per square

2039
01:37:30,600 --> 01:37:34,280
Speaker 13: foot of office space you could write off. And if

2040
01:37:34,320 --> 01:37:37,360
Speaker 13: you have a you know, a space of three hundred

2041
01:37:37,360 --> 01:37:40,280
Speaker 13: square feet or five hundred square feet, that's a write off.

2042
01:37:40,880 --> 01:37:44,759
Speaker 13: And then a portion of your utilities, Internet, homeowners insurance,

2043
01:37:45,320 --> 01:37:49,600
Speaker 13: and some repairs in that office may also be applicable.

2044
01:37:49,800 --> 01:37:51,839
Speaker 4: So you have to keep really good records.

2045
01:37:51,880 --> 01:37:54,880
Speaker 13: You can't just say you just can't, you know, give

2046
01:37:54,920 --> 01:38:00,160
Speaker 13: a number, just eyeball it, ballpark it, whatever. You have

2047
01:38:00,240 --> 01:38:03,640
Speaker 13: to have the data and the receipts to back it up.

2048
01:38:03,720 --> 01:38:06,200
Speaker 13: But if you have a good CPA, that can help

2049
01:38:06,280 --> 01:38:08,880
Speaker 13: you through that. The other item that a lot of

2050
01:38:08,920 --> 01:38:13,760
Speaker 13: people definitely have is your mortgage interest. They have not

2051
01:38:13,880 --> 01:38:16,439
Speaker 13: taken that away from us yet. There's been a lot

2052
01:38:16,520 --> 01:38:21,400
Speaker 13: of talk government talk about taking away the tax benefits

2053
01:38:21,600 --> 01:38:24,560
Speaker 13: of your mortgage interest. And your mortgage interest is that

2054
01:38:24,800 --> 01:38:28,280
Speaker 13: extra that you pay on top of your mortgage and

2055
01:38:28,479 --> 01:38:32,560
Speaker 13: usually you're paying cheese. You're paying mostly interest for the

2056
01:38:32,720 --> 01:38:36,920
Speaker 13: first five to seven years ten years of the mortgage itself.

2057
01:38:37,280 --> 01:38:39,559
Speaker 13: So it's a big write off and it's really good

2058
01:38:39,720 --> 01:38:43,760
Speaker 13: for younger homeowners, and that's something that you definitely want

2059
01:38:43,800 --> 01:38:47,000
Speaker 13: to use. Your property taxes can still be written off

2060
01:38:47,040 --> 01:38:49,519
Speaker 13: to a certain extent. And then this is the other

2061
01:38:49,600 --> 01:38:53,120
Speaker 13: one that I think is really important. And let's say

2062
01:38:53,120 --> 01:38:55,479
Speaker 13: you didn't do it last year, but you're thinking about

2063
01:38:56,280 --> 01:39:00,439
Speaker 13: doing some energy efficient upgrades in your home. You want

2064
01:39:00,520 --> 01:39:04,280
Speaker 13: to think about solar or a high efficiency heating and

2065
01:39:04,360 --> 01:39:07,840
Speaker 13: cooling system. Maybe you want to add new windows. It's

2066
01:39:07,880 --> 01:39:10,840
Speaker 13: time to add new windows, get the energy efficient ones.

2067
01:39:11,520 --> 01:39:15,080
Speaker 13: Talk to your accountant, talk to the people who are

2068
01:39:15,120 --> 01:39:19,639
Speaker 13: in installing them. Save your paperwork. That's really really important.

2069
01:39:20,040 --> 01:39:24,719
Speaker 13: And then insulation. Just adding insulation could be a potential

2070
01:39:24,800 --> 01:39:27,000
Speaker 13: for a tax benefit because it's going to cost you

2071
01:39:27,520 --> 01:39:30,320
Speaker 13: hundreds of dollars, maybe thousands of dollars, depending on what

2072
01:39:30,520 --> 01:39:32,320
Speaker 13: kind of insulation you add to your home.

2073
01:39:32,800 --> 01:39:34,439
Speaker 5: I thought on some of that went away. It didn't

2074
01:39:34,439 --> 01:39:34,600
Speaker 5: go in.

2075
01:39:35,720 --> 01:39:36,759
Speaker 4: There's always there.

2076
01:39:36,680 --> 01:39:41,280
Speaker 13: Are still some benefits. Yeah, that usually they and again

2077
01:39:41,360 --> 01:39:45,240
Speaker 13: the government it changes every single year, so you want

2078
01:39:45,280 --> 01:39:47,519
Speaker 13: to keep keep your eyes on that if you're doing

2079
01:39:47,640 --> 01:39:51,000
Speaker 13: some kind of upgrades, not only for your taxes, but

2080
01:39:51,280 --> 01:39:54,599
Speaker 13: for the valuation of your home. When I come into

2081
01:39:54,640 --> 01:39:57,599
Speaker 13: your home and try to get the value of your home,

2082
01:39:58,200 --> 01:40:01,280
Speaker 13: I'm looking at how old is your I'm looking at

2083
01:40:01,439 --> 01:40:05,080
Speaker 13: how old is your HVAC system. You know, again, those

2084
01:40:05,120 --> 01:40:09,160
Speaker 13: aren't sexy items necessarily, but they are very very important

2085
01:40:09,200 --> 01:40:13,080
Speaker 13: to new buyers. It's important for your insurance company, it's

2086
01:40:13,120 --> 01:40:16,000
Speaker 13: important for the value of your home. And when we

2087
01:40:16,160 --> 01:40:19,160
Speaker 13: always talk about, yeah, let's update our kitchens and bathrooms.

2088
01:40:19,200 --> 01:40:23,639
Speaker 13: Well that's important too, but some of these other energy

2089
01:40:23,720 --> 01:40:27,640
Speaker 13: efficient upgrades could also help you with your taxes and

2090
01:40:27,960 --> 01:40:29,760
Speaker 13: also increase the value of your home.

2091
01:40:29,880 --> 01:40:31,880
Speaker 1: Speaking of the roof thing, the older your roof is,

2092
01:40:31,960 --> 01:40:33,599
Speaker 1: the more cost you and homeowners insurance.

2093
01:40:34,439 --> 01:40:35,120
Speaker 4: That is true.

2094
01:40:35,760 --> 01:40:38,800
Speaker 13: That is true, and a lot of insurance companies are

2095
01:40:39,040 --> 01:40:42,320
Speaker 13: really cracking down and they want to know when you

2096
01:40:42,479 --> 01:40:44,840
Speaker 13: buy a new home, they want to know how old

2097
01:40:44,920 --> 01:40:48,439
Speaker 13: that roof is. And if let's say it's a twenty

2098
01:40:48,520 --> 01:40:50,920
Speaker 13: year old roof, your rates are going to be a

2099
01:40:51,000 --> 01:40:55,320
Speaker 13: lot higher. And you're only going to get now. It

2100
01:40:55,479 --> 01:40:58,320
Speaker 13: used to beckon, I'm going to date myself now. I

2101
01:40:58,360 --> 01:41:01,760
Speaker 13: think we had two thousand, two thousand and eight too

2102
01:41:01,800 --> 01:41:05,920
Speaker 13: that we had like a hurricane come through Cincinnati and

2103
01:41:06,439 --> 01:41:09,000
Speaker 13: it blew everybody's roof off, and so there were entire

2104
01:41:09,120 --> 01:41:12,559
Speaker 13: neighborhoods that were getting new roofs and it was mostly

2105
01:41:12,840 --> 01:41:13,839
Speaker 13: insurance claims.

2106
01:41:14,560 --> 01:41:17,720
Speaker 4: And with that, you know, that was a good thing.

2107
01:41:18,040 --> 01:41:21,240
Speaker 13: But a lot of a lot of insurance companies are saying, okay, well,

2108
01:41:21,320 --> 01:41:24,320
Speaker 13: if that roof was ten years old, I'm only going

2109
01:41:24,360 --> 01:41:27,880
Speaker 13: to give the value of a ten year old. I'm

2110
01:41:27,920 --> 01:41:30,160
Speaker 13: going to amortize it or what is the word I want?

2111
01:41:30,280 --> 01:41:30,640
Speaker 7: Is that right?

2112
01:41:30,720 --> 01:41:31,680
Speaker 4: It's not amortized.

2113
01:41:32,240 --> 01:41:32,839
Speaker 5: To appreciate.

2114
01:41:33,320 --> 01:41:35,360
Speaker 4: That's it. You're going to get the appreciation.

2115
01:41:35,640 --> 01:41:39,320
Speaker 5: I appreciate what. I'd appreciate you so much. Thanks for

2116
01:41:39,400 --> 01:41:39,680
Speaker 5: what you do.

2117
01:41:40,400 --> 01:41:41,599
Speaker 4: Thank you. You're welcome.

2118
01:41:44,280 --> 01:41:45,920
Speaker 5: Did you in a home office deductions?

2119
01:41:46,000 --> 01:41:46,200
Speaker 7: Yeah?

2120
01:41:47,360 --> 01:41:50,640
Speaker 1: I did, Yeah, home on we're talking about you're not

2121
01:41:50,720 --> 01:41:52,760
Speaker 1: paying attention to I was trying to figure out what

2122
01:41:52,880 --> 01:41:54,559
Speaker 1: this leak is here in this room in the studio

2123
01:41:54,640 --> 01:41:54,880
Speaker 1: right now.

2124
01:41:55,000 --> 01:41:59,800
Speaker 13: So oh my gosh, yeah, home office deductions, it is

2125
01:42:00,040 --> 01:42:03,760
Speaker 13: out and one out of five it's that's really high.

2126
01:42:03,840 --> 01:42:05,920
Speaker 4: I didn't know that it was. That's high, right, I.

2127
01:42:05,960 --> 01:42:10,120
Speaker 1: Mean, that's a surprisingly high number that it was probably

2128
01:42:10,160 --> 01:42:12,760
Speaker 1: higher in Cobb's, much higher in COVID. But for those

2129
01:42:12,800 --> 01:42:14,719
Speaker 1: people doing the return to work to return to office

2130
01:42:14,760 --> 01:42:18,120
Speaker 1: thing rt O, I don't think every one hundred percent

2131
01:42:18,240 --> 01:42:19,479
Speaker 1: back to office if you can do work.

2132
01:42:19,920 --> 01:42:22,519
Speaker 5: My brother works remotely, for crying out.

2133
01:42:22,439 --> 01:42:25,360
Speaker 4: Loud, now goes into the office one day a week.

2134
01:42:25,520 --> 01:42:25,760
Speaker 5: That's it.

2135
01:42:26,080 --> 01:42:28,040
Speaker 4: So the rest of the week, whether he's on the

2136
01:42:28,120 --> 01:42:29,040
Speaker 4: road or he's.

2137
01:42:28,960 --> 01:42:34,840
Speaker 13: On working in his basement, whatever, he's office but yeah,

2138
01:42:35,120 --> 01:42:37,960
Speaker 13: nearly one in five workers have worked from home. Uh,

2139
01:42:38,360 --> 01:42:40,320
Speaker 13: if you're an entrepreneur, if you have a side gig,

2140
01:42:40,479 --> 01:42:42,479
Speaker 13: I mean, it doesn't have to be your full time job.

2141
01:42:42,560 --> 01:42:44,799
Speaker 13: That's the other thing that a lot of people don't understand.

2142
01:42:45,120 --> 01:42:48,040
Speaker 13: It can just be a side gig and you're spending

2143
01:42:48,479 --> 01:42:54,120
Speaker 13: hours in wherever, in a specific room. You can potentially

2144
01:42:54,400 --> 01:42:56,880
Speaker 13: write that off and have a tax benefit, and so

2145
01:42:57,080 --> 01:43:01,600
Speaker 13: that can help you with Uh. It's really it's fascinating

2146
01:43:02,520 --> 01:43:05,920
Speaker 13: what you can and can't do. And because the tax

2147
01:43:06,040 --> 01:43:10,200
Speaker 13: code is like monstrous, you really want to get somebody

2148
01:43:10,200 --> 01:43:13,439
Speaker 13: who knows what they're doing, because the one thing that

2149
01:43:13,640 --> 01:43:17,439
Speaker 13: nobody wants is, oh, well I use this office to

2150
01:43:17,640 --> 01:43:20,240
Speaker 13: work from home, but I'm a W two employee and

2151
01:43:20,320 --> 01:43:23,439
Speaker 13: I have an office at work. Then you probably can't

2152
01:43:23,479 --> 01:43:26,840
Speaker 13: write off your home office, got it. And that's the

2153
01:43:26,920 --> 01:43:29,080
Speaker 13: one thing you better. You don't want the I R. S.

2154
01:43:29,479 --> 01:43:33,320
Speaker 13: Got it to come after you for for any kind

2155
01:43:33,360 --> 01:43:33,680
Speaker 13: of no.

2156
01:43:33,920 --> 01:43:36,120
Speaker 1: No, no that that is that behavior is frowned upon

2157
01:43:36,160 --> 01:43:39,639
Speaker 1: in this room, this leaky, leaky room. I'm sorry, I'm

2158
01:43:39,640 --> 01:43:46,240
Speaker 1: distracted by the flood here. I thought it's a dripover.

2159
01:43:46,280 --> 01:43:47,600
Speaker 1: I'm just trying to figure it out right now, I

2160
01:43:47,720 --> 01:43:52,479
Speaker 1: got my You are on the sixth floor remodeling hat

2161
01:43:52,560 --> 01:43:55,160
Speaker 1: on now at this point, so it's probably it's probably not.

2162
01:43:55,320 --> 01:43:57,400
Speaker 1: That's probably just the bodies up on seven. I don't know,

2163
01:43:57,960 --> 01:44:01,040
Speaker 1: all right. So my wife Michelle Sloan's ownsals Holmes dot

2164
01:44:01,120 --> 01:44:04,640
Speaker 1: com openhouse show. That's via the iHeartRadio app and the

2165
01:44:04,720 --> 01:44:07,639
Speaker 1: podcast and of course on YouTube as well. At Remax

2166
01:44:07,760 --> 01:44:10,600
Speaker 1: time in Mainville. Good luck keeping that basement dry. I

2167
01:44:10,640 --> 01:44:12,280
Speaker 1: love you, gotta go, gotta go, gotta go. We got

2168
01:44:12,320 --> 01:44:14,080
Speaker 1: Willy on the way twelve oh six today and the

2169
01:44:14,200 --> 01:44:16,560
Speaker 1: Reds just keep rolling. Baby, just hammered the hell on

2170
01:44:16,640 --> 01:44:18,800
Speaker 1: the Cuban national team yesterday here on the Home of

2171
01:44:18,800 --> 01:44:20,080
Speaker 1: the Red seven hundred w dowt.

2172
01:44:20,160 --> 01:44:20,400
Speaker 6: Since that