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Speaker 1: Don't want to be an American.

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Speaker 2: Got a new angle on the violence downtown. So you

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Speaker 2: go back to the brawl and lay chu lot. We

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Speaker 2: had one person out of hundreds calling nine one one

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Speaker 2: Fountain Square shootings. We just had again a little number

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Speaker 2: of people calling nine one one inside of the business

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Speaker 2: that was shot up, and it begs the question why.

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Speaker 2: From the Brain Performance Center in Dallas, Lee Richardson is here.

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Speaker 2: Welcome back to the show.

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Speaker 3: How are you, good morning, Thanks for having me back.

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Speaker 3: I'm doing well.

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Speaker 1: Thank you.

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Speaker 2: You've seen the video. It's been national international news and

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Speaker 2: it's hard still kind of hard to watch too. And

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Speaker 2: regardless of who said what and what transpired, the fact

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Speaker 2: that only a couple of people, maybe one or two people,

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Speaker 2: said hey, I better call the police is something I

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Speaker 2: don't think we've ever seen. I mean, it's a newer trend,

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Speaker 2: I suppose, but in our lifetimes, if you would have

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Speaker 2: said maybe ten or fifteen years ago, maybe five years ago,

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Speaker 2: that yeah, you'd have something like this and one personal

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Speaker 2: call nine one one, which means in the future, I

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Speaker 2: suppose maybe no one calls nine one. Maybe these things

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Speaker 2: happen and then we never hear about it because no

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Speaker 2: one thinks to call the police. The question for someone

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Speaker 2: like yourself is why how much of that as social media.

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Speaker 3: And COVID Well, I think that you know, anytime you've

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Speaker 3: seen a really intense event that triggers adrenaline in their

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Speaker 3: body and drenales, they start kicking out all that corsal

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Speaker 3: and that gives you a psych physiological rush, and you

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Speaker 3: get excited and you want to capture the moment. And

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Speaker 3: I think many people, honestly social media plays into it

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Speaker 3: because they think if they get the shocking footage, that's

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Speaker 3: going to get them more likes, more shares, more comments

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Speaker 3: on social media and the thought of being the one

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Speaker 3: who got the video that activates the brand sopammine reward system.

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Speaker 3: It's just like when you win at cambling. I think

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Speaker 3: filming it can make you feel like you're doing something

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Speaker 3: without risking any personal safety as well. I Diddeo Scott

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Speaker 3: and I couldn't believe it appeared that people were cheering,

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Speaker 3: almost cheering it on. You know, there was no space,

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Speaker 3: everybody was crowding around and that certainly escalate the intensity

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Speaker 3: of it. And people pull out a camera and cameras

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Speaker 3: create an audience.

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Speaker 2: Well, you maybe just think of this. Speaking of video.

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Speaker 2: This summer on vacation, did a bucket list trip to Australia.

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Speaker 2: It's beautiful. My wife wanted to do like a whale

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Speaker 2: watching crew. So you get on this boat and you

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Speaker 2: look for whales because whales go up and down the

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Speaker 2: Aussie coast. It's called the Humpback Highway, and so this

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Speaker 2: time of year especially get to see whales, which you

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Speaker 2: want to do, like, all right, I'll go check some

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Speaker 2: whales out, which sounds pretty good. And so we're on

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Speaker 2: this bat and it's interesting because every single person for

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Speaker 2: the entirety of the trip, as I look around, is

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Speaker 2: recording every little thing, holding the phone up to their

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Speaker 2: face and not actually looking at the whale. They're looking

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Speaker 2: at through a monitor. And there are a couple of

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Speaker 2: younger people who wanted nothing to do with well watching,

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Speaker 2: who were dragged by their parents, as you typically have,

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Speaker 2: and they were in the boat inside on their phones

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Speaker 2: playing games in the middle of the ocean. So I

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Speaker 2: look at that and go what And this is before

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Speaker 2: all this happened too. I thought, it's very surreal that

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Speaker 2: we experience life through a viewfinder, and I think, lee

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Speaker 2: when you do that, it's not real if you're watching

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Speaker 2: a device. So what you see on your your viewfinder,

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Speaker 2: what you see on your camera or your phone is

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Speaker 2: not real. It's a it's a show, it's streaming, it's

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Speaker 2: a TV show. And so if you looked up in

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Speaker 2: a Wow, this is really happening. It's a much different

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Speaker 2: experience than looking through a little, you know, four inch

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Speaker 2: by two inch you finder.

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Speaker 3: I can make really good points. God, I mean when

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Speaker 3: you're when you're in a spectator mindset and you're just

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Speaker 3: watching something. If you were there and maybe you would

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Speaker 3: have thought about being a help helper. No, you're just

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Speaker 3: part of an audience, and that makes it much easier

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Speaker 3: just to watch or filmed whatever it is, rather than

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Speaker 3: act on it.

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Speaker 2: That might explain why people are doing I think the

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Speaker 2: other element too. Everyone wants to be Insta famous too

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Speaker 2: and post these provocative videos. And the people who posted

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Speaker 2: are the ones that caught on that we've all seen

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Speaker 2: now are getting all sorts of clicks and views and

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Speaker 2: subscribers maybe to their channel, even if that's nothing we're about.

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Speaker 2: And so that also feeds this too as well. We're

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Speaker 2: in the we're in the essentially the content creator phase.

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Speaker 2: Everyone's a content creator. Now that's a problem.

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Speaker 3: That is a problem, and you know we have to remember,

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Speaker 3: especially at night, and when you add a little bit

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Speaker 3: of alcohol, it makes us feel more anonymous. It we're

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Speaker 3: with if we drop our inhidditions, and we also behave

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Speaker 3: more impulsively and we lose empathy.

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Speaker 2: Brain expert Lee Richardson on the Scotsland Show on seven

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Speaker 2: hundred WLW, we had the brawl over the summer and

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Speaker 2: one person out of hundreds called nine to one one.

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Speaker 2: We saw, well police respond pretty quickly what happened and

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Speaker 2: just happened on Fountain Square over the last couple of days,

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Speaker 2: but again an another low level of nine one one

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Speaker 2: calls because people are just rather recorded then do something

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Speaker 2: about it. And it has to do with obviously being

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Speaker 2: a content creator, but looking through your screen and not

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Speaker 2: seeing things in real life, being a spectator and not

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Speaker 2: someone who's engaged. How much do you think COVID has

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Speaker 2: factor in this as well? Is this still like we're

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Speaker 2: seeing more of the stuff because of COVID and how

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Speaker 2: does that work if so?

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Speaker 3: Well, I think we're still on the aftermath of COVID,

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Speaker 3: and I think COVID left all of us with some

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Speaker 3: emotional trauma and that impacts our judgment, particularly late at

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Speaker 3: night with alcohol. But I think that we shut down

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Speaker 3: during COVID, and for some people that has maybe become

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Speaker 3: the default mode. They see something, it's intense, they're not

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Speaker 3: sure how to overreact. Then they see everybody, you know,

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Speaker 3: kind of encouraging it, and everybody pulls out their camera,

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Speaker 3: so that becomes the social norm. Oh it's okay to

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Speaker 3: film this, everybody else is. And I think that we

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Speaker 3: just we go more into the free state after COVID

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Speaker 3: than we did before.

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Speaker 2: And of course now we have to talk about the

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Speaker 2: algorithms that encourage us kind behavior to begin with, and

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Speaker 2: how much worse is it going to get? You know,

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Speaker 2: you want to think this has got to be bottomed,

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Speaker 2: but it's not.

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Speaker 1: Probably, no, it's not.

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Speaker 3: I mean, if you look at loneliness, loneliness is and

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Speaker 3: an all time high. And I think that that started

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Speaker 3: with COVID. We were forced to isolate. We didn't go

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Speaker 3: to school the same way, we didn't go to work,

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Speaker 3: we didn't go to church, we didn't go to the

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Speaker 3: gym the same way. And for a lot of people

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Speaker 3: that had severe anxiety, it was very comforting but that

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Speaker 3: I think for many people, that just pushed them deeper

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Speaker 3: into their anxiety, and we've got to start to connect

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Speaker 3: everybody wanted. I think resilient is the foundation that we

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Speaker 3: all stand on. But that doesn't just mean cognitively that

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Speaker 3: your brains biken. Emotionally you're you're able to control your

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Speaker 3: emotions and socially you feel connected. And I think that's

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Speaker 3: one thing that we're all we haven't really built back up.

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Speaker 3: It's our resilience.

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Speaker 2: How do you see this thing shaken out? I mean,

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Speaker 2: it's part of our culture, it's part of our fabric.

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Speaker 2: It's not going away. Do we just simply adapt? Do

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Speaker 2: we learn to we be able to back off and

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Speaker 2: understand that what the negative consequences of this lifestylence?

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Speaker 3: Well, you know it's really complex. Holly that took the

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Speaker 3: big punch in the face, someone started to go fundme

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Speaker 3: page for her, So we see an extreme of non

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Speaker 3: caring and then at the same time we see people

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Speaker 3: do care. So I think that it all ties into

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Speaker 3: emotional balance and that we're still in that aftermath coming

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Speaker 3: out of COVID how to connect, how to react, and

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Speaker 3: we're still riding the roller coaster that fights flight freeze,

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Speaker 3: and I think until we can create more stabilization. And

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Speaker 3: that's mentally as well as physically. It's one unit brain

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Speaker 3: in the body. It's one ning. The body keeps score

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Speaker 3: of everything going on the brain with the Once we

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Speaker 3: can calm that brain down and we can all do that,

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Speaker 3: we can work on that on our own. There's no meditation.

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Speaker 3: Breathing and making sure you get a good night sleep,

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Speaker 3: exercising the basics, eating healthy foods. I've heard a term

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Speaker 3: the neuroprotective diet. What you eat can protect your brain.

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Speaker 2: You know, we've also heard you mentioned meditation, all these

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Speaker 2: things which are much harder to do because you know

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Speaker 2: your dopamine receipponers are going nuts. Anytime you look at

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Speaker 2: something online, you're being fed a steady dyet of that stuff,

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Speaker 2: and you know it all sounds well and good. You

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Speaker 2: have to be very very proactive and saying, hey, listen,

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Speaker 2: I've got to balance out my digital lifestyle with real life.

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Speaker 2: Very very few people are going to do that simply

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Speaker 2: because you're not being rewarded as much as you are

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Speaker 2: when the algorithms do what they do and you're getting

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Speaker 2: that neural response.

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Speaker 3: Absolutely and osttle neuron gendrit thin get really confused. You know,

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Speaker 3: that brain starts kicking out that dopamine, and that confuses

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Speaker 3: those neurons and gendrits. Instead of you know, I like this,

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Speaker 3: it turns into I want this, and then it turns

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Speaker 3: into I need this.

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Speaker 2: It's interesting, I think also because you wonder how much

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Speaker 2: it's a cyclical behavior, is that we watch what happened,

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Speaker 2: people are all recording. No one's calling nine one one

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Speaker 2: because they become spectators. It's become everything's a show. Now

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Speaker 2: everything is going meant to be put online, and it's

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Speaker 2: a performance in front of me. Despite the fact that

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Speaker 2: we've lost any sense of empathy, that we saw people

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Speaker 2: kicking folks when they're down, people normally don't act like that.

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Speaker 2: And I wonder how many people who are caught up

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Speaker 2: in this and who are going to be charged and

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Speaker 2: prosecuted and sentenced may have regret for the actions, but

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Speaker 2: look back and go, what the hell was I thinking?

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Speaker 2: I got swept up in a moment in the zeitgeist,

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Speaker 2: and now I'm paying a heavy prices. Well you should

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Speaker 2: for that kind of behavior. I don't think that's going

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Speaker 2: to cause anyone else to be interested back to go.

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Speaker 4: Man.

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Speaker 2: Maybe you know what I maybe it's social media. Maybe

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Speaker 2: I need to quit recording everything and just live more life,

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Speaker 2: life as it's meant to be, and not document every

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Speaker 2: little mundane moment in life and live life in the moment.

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Speaker 2: But very few people are going to think like that.

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Speaker 2: I think that this has just encouraged more behavior. And

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Speaker 2: that's what happens, right is that doesn't this lead to

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Speaker 2: more impulsivity and normally public behaviors because you're hiding behind

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Speaker 2: that screen name where you'll go and attack people. You'll

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Speaker 2: get that dopamine spike and you'll have this heated argument

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Speaker 2: online or attack or dock somebody and it makes you

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Speaker 2: feel good, but you don't think that's a real person.

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Speaker 3: Well, yeah, I think you make a good point. This

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Speaker 3: has become a social norm there. Everybody pulls out their

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Speaker 3: phone and if they're like taking selfies or are they're

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Speaker 3: looking for something to see them. They're looking for something

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Speaker 3: to catch. Everybody's watching and recording. So if everybody else

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Speaker 3: is doing it, the actually doing it too. Once you

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Speaker 3: create a social norm, it's going to be very hard

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Speaker 3: to change.

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Speaker 2: It's almost like life itself has become a video game.

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Speaker 2: M you know, I mean, you share followers, you get points. Essentially,

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Speaker 2: it don't turns social interaction into competitive game. And and

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Speaker 2: people there are people out there doing stuff online, just

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Speaker 2: ridiculously stupid stuff, dangerous stuff for that matter, at any

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Speaker 2: cost and for shock value, and we manufacture outrage and

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Speaker 2: uh that just encourages more attention seeking antisocial behavior.

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Speaker 4: Uh.

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Speaker 2: And it's a race to the bottom. And so it's

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Speaker 2: literally I mean, if you get points, we're doing what

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Speaker 2: you do what should be clicks? So what should be

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Speaker 2: like isn't this a game?

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Speaker 3: Sounds like it? I mean, and I think we're becoming

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Speaker 3: these sensitized. I think we see so much of it

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Speaker 3: that it's just like, uh, there's you know, here's another one.

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Speaker 3: And I think that a lot of us are we're

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Speaker 3: seeking stimulation and we're and for young adults are they're

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Speaker 3: looking for pure a proof well, and putting it on

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Speaker 3: social media is a quick way to get that.

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Speaker 2: Yeah. Yeah, And it also effects I think socialization too.

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Speaker 2: I see a number not all, of course, but there

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Speaker 2: are a lot of young people now that you know,

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Speaker 2: we'll talk in one hundred and forty characters or less

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Speaker 2: and not make eye contact to you that's almost like

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Speaker 2: you if you wouldn't know. They seem autistic in a way,

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Speaker 2: But it's actually the fact that all their communication has

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Speaker 2: done digitally. There's very little one on one, face to

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Speaker 2: face communication. It feels like that's a dying art.

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Speaker 3: Well, it does. And eye contact and just verbal I

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Speaker 3: have many clients that say, I don't call anybody. I

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Speaker 3: can't remember the last time I called somebody.

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Speaker 4: Yeah, I just text him.

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Speaker 3: I just text him. And you know, if you think

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Speaker 3: about how we're using AI now, there are studies that

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Speaker 3: have come out that the younger population they're turning to AI,

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Speaker 3: and I think thirty five percent of one survey I

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Speaker 3: said that's because it didn't have anybody else to talk to.

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Speaker 2: Yeah, you hear that. And that's a very interesting point

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Speaker 2: you just made, Lee Richardson. Is the fact that with

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Speaker 2: all this technology gretting more and more isolated and therefore depressed.

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Speaker 2: COVID exacerbated that, to be sure, But it doesn't feel

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Speaker 2: like we've moved away from that. I mean, you know,

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Speaker 2: when you are social distancing and you're working at home,

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Speaker 2: and I know they're calling people back to the office

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Speaker 2: and people reluctantly are doing that. But you're not interacting

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Speaker 2: with anyone that is so dangerous to the human psyche

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Speaker 2: because we're social creatures, are not built for.

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Speaker 3: That, and I think we kind of forget how when

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Speaker 3: you don't, when you don't use social skills, well thinks that.

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Speaker 3: You know, we've talked about COVID when people first started

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Speaker 3: getting on the road again and driving as we came

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Speaker 3: out of COVID, the road range was incredible. We forgot

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Speaker 3: how to drive nice.

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Speaker 2: I don't know if we ever knew how to drive nice,

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Speaker 2: but it certainly got I agree with it got worse

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Speaker 2: after COVID, simply because it all became about us. We

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Speaker 2: are ready very self centered people with the advent of

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Speaker 2: digital technology, because it became our bone individual brand, right,

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Speaker 2: That's what it was about, you know, and you're told

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Speaker 2: the steady diet. If you're the most important person, your snowflake,

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Speaker 2: you know, your your fingerprint, you're you're different than everyone else,

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Speaker 2: and you're special. And we started naming people, you know,

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Speaker 2: people get names like princess and king and things like that,

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Speaker 2: and queen and those titles go around. But then you

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Speaker 2: add the isolation of COVID and social media in there,

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Speaker 2: and we have a very self centered society now, and

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Speaker 2: it's about me and my instant gratification and no one else.

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Speaker 2: How we see that people getting getting shot at McDonald's

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Speaker 2: behind the counter because you know, they got a cheeseburg

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Speaker 2: instead of a hamburger. If we allow that, it's not

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Speaker 2: much of a stretch to go, wow, hey, there's a

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Speaker 2: guy that I got beef with sitting at Citybird on

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Speaker 2: Fountain Square and Broad dala al, I'm a fire. Couple

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Speaker 2: of rounds in the window. Or the guys that got

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Speaker 2: in an argument and started shooting across traffic rush hour

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Speaker 2: right a Fountain Square a couple of days ago, same thing?

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Speaker 4: Wow?

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Speaker 3: Right, yeah, I mean, and there's something that we have

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Speaker 3: to do about it. If we just we just roll

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Speaker 3: us and say, oh, that's just the way it is now,

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Speaker 3: it will only get worse. And I think that that's

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Speaker 3: something that we as we move forward with technology, we've

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Speaker 3: got to redefine our relationship with technology. Your phone is

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Speaker 3: not your best friend. Your phone does not need to

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Speaker 3: sleep with you. And I have clients that when I

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Speaker 3: say where's your phone's sleep form? You know I used

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Speaker 3: to follow asleep with it in my hand. Really, is

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Speaker 3: that where it needs to be. And I have clients

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Speaker 3: that refer to AI as AL. Well, I'm going to

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Speaker 3: go home. I'm going to go home and hang out

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Speaker 3: with AL. Who's out? I ask my boyfriend, I don't

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Speaker 3: know you had a boyfriend, Well AI, I call him out.

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Speaker 2: Wow, And they to have conversations with AI. And I've

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Speaker 2: done that kind of jet to see when the responses are.

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Speaker 2: It's frightening, is what it is. And we're becoming Yeah,

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Speaker 2: we're becoming more attracted to digital a digital person than

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Speaker 2: a real person. That's that's frightening. And explain I think

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Speaker 2: a lot of this, a lot of what's happened here

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Speaker 2: now anyway, what we're gonna.

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Speaker 3: Say, because they tell us what we want to hear.

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Speaker 1: Of course we're gin it.

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Speaker 4: We want that.

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Speaker 3: I mean AI talks to you just like you talk

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Speaker 3: to it, and it will tell you. And if you

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Speaker 3: use it consistently, it picks up your algorithm. It will

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Speaker 3: and it will learn to talk and it will tell

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Speaker 3: you what you want to hear. So yeah, we all

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Speaker 3: do like you, Hey, beautiful, you have a great day.

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Speaker 2: And eventually we're gonna have a machine that does that

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Speaker 2: in real life and there'll be no human interaction. I'll

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Speaker 2: be dead and gone unhappy by then. But Cheeesilee Richardson

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Speaker 2: at the Brain Performance Center in Texas, Lee all the best,

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Speaker 2: thanks for the inside good stuff as always, Thank you

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Speaker 2: so much. Take care, b Welly. So what we saw

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Speaker 2: in July on the streets of Cincinnati, the international news

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Speaker 2: to the most recent Fountain Square shootings, which has led

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Speaker 2: to the dismissal essentially whatever you're calling it, administrative leave

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Speaker 2: of Chief Terry Fiji. I'm guessing that that's what helped

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Speaker 2: drive in this thing. And then you had the shooting

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Speaker 2: in front of the in between Thursday on football. All

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Speaker 2: these people around the city's lit up, and there's cops

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Speaker 2: are around, cops are around Fountain Square, and these people

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Speaker 2: they just simp, don't care. It's almost they lived in

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Speaker 2: their own world, a video game as it were, or

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Speaker 2: a world where I'm the central attraction. I'm the only

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Speaker 2: thing that matters. I'm not going to discount criminality, predatory

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Speaker 2: criminal behavior, and sociopaths that are engaging, there's no question,

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Speaker 2: but I think there's a reflection there on all of

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Speaker 2: us as societies where we're headed now with AI coming

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Speaker 2: into fruition, which we still don't know what tomorrow is

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Speaker 2: going to bring with that, but also the fact that

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Speaker 2: you know, look at the few people calling nine to

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Speaker 2: one one when something goes on, they'd rather record it

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Speaker 2: post content on their page to get clicks and views,

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Speaker 2: and that feeds even more of the stuff too. And

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Speaker 2: I think in that regard we are all to blame

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Speaker 2: to some degree because we're feeding that and then you

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Speaker 2: put that in the hands of well street thugs and

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Speaker 2: criminals and sociopaths, and this is what happens. Just something

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Speaker 2: to think about and if that's true in any way,

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Speaker 2: shape or form, is it really the fault of Terry

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Speaker 2: Fiji or Adam Henny or whoever the chief is a

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Speaker 2: city of Cincinnati, Probably not. Could you do better with

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Speaker 2: the policies, absolutely, but that's above them. Scott'sland with News

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Speaker 2: in four minutes your seven one hundred W the scott'sand

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Speaker 2: here seven hundred w l W Welcome to the show.

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Speaker 2: I just talked to Lee Richardson, and Lee is with

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Speaker 2: the Brain Performance Center in Dallas, and we just had

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Speaker 2: the you know what cost Terry Fiji her job? Essentially,

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Speaker 2: that would be the violence downtown, the shootings at Fountain

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Speaker 2: Square and also I would include there what happened at

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Speaker 2: the end between two and you know, you talk about

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Speaker 2: the impact social media has on people, and just let's look,

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Speaker 2: let's look back at what happened in July when you

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Speaker 2: had all these people that were fighting and getting curb

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Speaker 2: stomped and everything else, and what one person, maybe two

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Speaker 2: people called nine one one, and even the person who's

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Speaker 2: gonna call nine one one was threatened and didn't you know,

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Speaker 2: didn't feel comfortable in reaching out to police because they

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Speaker 2: felt like, hey, you know what, we don't want to

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Speaker 2: upset this. This is happening in our little ecosystem here,

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Speaker 2: and we're gonna have race wars, but we don't want

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Speaker 2: anyone responding. And you know there's people down bleeding, and

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Speaker 2: you know, significant and serious injuries to two people, and

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Speaker 2: you wonder why that exists. Well, she talked greatly about

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Speaker 2: how the impact that social media has had on all

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Speaker 2: of us, and even if you're not involved in your

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Speaker 2: offended by that, we also are still to blame because

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Speaker 2: we drive the content through the algorithms and that's why

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Speaker 2: clickbait is created. I think it's interesting too just reading

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Speaker 2: the story about social media. The social media make you dumber,

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Speaker 2: And the answer is, well, yeah, I think we can.

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Speaker 2: I think we can absolutely measure that. But think, okay,

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Speaker 2: well how do we test that? How we got simply

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Speaker 2: just you know, there's really no way to measure it,

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Speaker 2: but there is. If you had a you know what

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Speaker 2: they call in the research field. You know you've got

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Speaker 2: a you've got a test, and a test better than

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Speaker 2: a I'm not done blanking on the name of it,

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Speaker 2: but you know I'm talking about anyway, long story short.

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Speaker 2: If I think scrolling the Internet days making it dumber,

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Speaker 2: what about AI? So what they did is fascinating researchers,

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Speaker 2: I think Texas. And then they took junk data. They

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Speaker 2: took the stuff that we look at, the clickbait, the

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Speaker 2: millions and millions of short social media posts. They took

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Speaker 2: stuff from Facebook and x and Instagram and all that,

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Speaker 2: and they put a bunch of it into AIAI models.

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Speaker 2: The stuff that has a lot of engagement, likes, reposts,

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Speaker 2: longer content, that kind of stuff. It sensationalized presentations and

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Speaker 2: really thin on actual information. Basically the same type of

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Speaker 2: content that's rotting our own bridge or it feels like

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Speaker 2: our writting own bridge. What did AI do with this

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Speaker 2: stuff because it's a learning model. The AI models that

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Speaker 2: they use saw significant drops in reasoning capabilities, understanding context,

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Speaker 2: and being safe a sense of adherence to safety standards.

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Speaker 2: So more than just getting dumber, they included the clickbait,

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Speaker 2: they included the junk, and it also changed the model's

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Speaker 2: personality because it's a learning model and so we'll learn

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Speaker 2: and the responses when you read them, you tend to

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Speaker 2: look at and go, Okay, it's not just data, but

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Speaker 2: there's a little personality. Well that's that's a yeah. You know,

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Speaker 2: you could say, hey, take the story and make it funny,

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Speaker 2: and it would make it funny that there's a personality

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Speaker 2: element to it. And I know it's a I know

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Speaker 2: it's a computer and it's it's AI. But that's the

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Speaker 2: scary part of the good part about it. I suppose.

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Speaker 2: So they put this through I think metas one of

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Speaker 2: Meta's AI bots, and it displayed significantly higher levels of

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Speaker 2: narcissism and became less agreeable, and also went from displaying

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Speaker 2: nearly no signs of psychopathy to extremely high rates of psychopathy.

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Speaker 2: That's crazy, literally, it's making the computer crazy. So if

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Speaker 2: that is AI, and we can measure baseline AI and go, okay,

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Speaker 2: well this is before we feeded a bunch of junk.

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Speaker 2: If that's rotting the brain of the computer, so to speak,

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Speaker 2: what is that doing to me and you? And conversely,

432
00:21:56,200 --> 00:21:58,320
Speaker 2: when you look at what happened at Fountain Square, when

433
00:21:58,359 --> 00:22:01,960
Speaker 2: you look at what happened during the beat down in July,

434
00:22:03,560 --> 00:22:06,240
Speaker 2: it wouldn't surprise one that no one is going to

435
00:22:06,240 --> 00:22:07,840
Speaker 2: call the police. No one cares to call the police

436
00:22:07,920 --> 00:22:09,360
Speaker 2: or reach out and say, hey, these are actually living

437
00:22:09,440 --> 00:22:11,639
Speaker 2: human beings here because we're programmed to steady died of

438
00:22:11,680 --> 00:22:14,520
Speaker 2: this donsense. And you know, if you spend all day

439
00:22:14,560 --> 00:22:16,639
Speaker 2: looking at it, and I'm guilty of it too, you

440
00:22:16,760 --> 00:22:19,040
Speaker 2: might be as well. I try to avoid it as

441
00:22:19,119 --> 00:22:21,520
Speaker 2: much as possible because it just feels toxic to me.

442
00:22:21,560 --> 00:22:24,640
Speaker 2: It really really does. So social media, when you take

443
00:22:24,680 --> 00:22:27,800
Speaker 2: it and put it at AI, makes AI worse, dumber,

444
00:22:28,400 --> 00:22:32,600
Speaker 2: more angry, just like us. We're in day twenty three

445
00:22:32,640 --> 00:22:36,000
Speaker 2: the shutdown now and now officially the second longest funding

446
00:22:36,080 --> 00:22:38,800
Speaker 2: lapse in modern history, eclipsing the one back in back

447
00:22:38,840 --> 00:22:42,440
Speaker 2: to nineteen ninety five during the Clinton administration. Thirty five

448
00:22:42,520 --> 00:22:44,000
Speaker 2: days would be the record. By the way, in case

449
00:22:44,000 --> 00:22:47,119
Speaker 2: you're counting thirty five days. And healthcare, of course, as

450
00:22:47,160 --> 00:22:48,400
Speaker 2: the hold up in this whole thing. We've been talking

451
00:22:48,400 --> 00:22:50,840
Speaker 2: about that. I'll have a guest on at eleven oh

452
00:22:50,880 --> 00:22:53,760
Speaker 2: six on that topic entirely too now, especially as we

453
00:22:53,840 --> 00:22:56,280
Speaker 2: head into benefit season here. It's open enrollment coming up

454
00:22:56,320 --> 00:23:00,800
Speaker 2: November first, and we're expecting the worst. We're expecting, you know,

455
00:23:01,440 --> 00:23:03,639
Speaker 2: a lot less coverage and more cost and that's for

456
00:23:04,000 --> 00:23:06,520
Speaker 2: all of us too. So we are now day twenty

457
00:23:06,520 --> 00:23:08,440
Speaker 2: three of this thing yester. They tried to pass the

458
00:23:08,600 --> 00:23:11,080
Speaker 2: I think the twelfth attempt to pass the bill and nothing,

459
00:23:11,160 --> 00:23:13,000
Speaker 2: largely because no one's outrage yet. Now I know that

460
00:23:13,000 --> 00:23:15,879
Speaker 2: they're going to start cutting SNAP and that does affect

461
00:23:15,920 --> 00:23:18,479
Speaker 2: seniors as well as low income families. I wonder if

462
00:23:18,480 --> 00:23:20,479
Speaker 2: that will get someone's attention or they'll just go what

463
00:23:20,520 --> 00:23:23,399
Speaker 2: they usually do is just say, well, you know we

464
00:23:23,440 --> 00:23:26,480
Speaker 2: can we we'll find some money for because you know,

465
00:23:27,040 --> 00:23:29,200
Speaker 2: it's theater up until a point that someone gets hurt,

466
00:23:29,720 --> 00:23:32,359
Speaker 2: no doubt about it. So we have that going on.

467
00:23:33,440 --> 00:23:36,520
Speaker 2: This is in the medical area here too. I didn't

468
00:23:36,560 --> 00:23:38,680
Speaker 2: know this last year they hadn't do a Nobel Prize

469
00:23:38,680 --> 00:23:41,560
Speaker 2: and on the Nobil risory toxic and polarize these days.

470
00:23:41,560 --> 00:23:45,600
Speaker 2: But the Nobel buying Physiology went to I guess said

471
00:23:45,640 --> 00:23:49,720
Speaker 2: a scientist or scientists, I should say that studied animals,

472
00:23:50,400 --> 00:23:55,720
Speaker 2: animals that can breathe through their anus. What So now

473
00:23:55,720 --> 00:23:57,840
Speaker 2: they've taken their research and said, there's mammals that are

474
00:23:57,880 --> 00:24:00,919
Speaker 2: capable of breeding through their butt. What do we do

475
00:24:00,960 --> 00:24:06,480
Speaker 2: with that? Well for people who have disabilities or blocked

476
00:24:06,480 --> 00:24:09,560
Speaker 2: airways or clogged lungs, THEPD for example. Maybe I don't know.

477
00:24:10,520 --> 00:24:14,840
Speaker 2: They are now experimenting and getting promising results to bring

478
00:24:15,000 --> 00:24:19,000
Speaker 2: rectal oxygen delivery one step closer to medical reality. I

479
00:24:19,040 --> 00:24:21,440
Speaker 2: don't know if that's a foot pump. I'm not sure.

480
00:24:21,440 --> 00:24:24,199
Speaker 2: If you, I don't know, you stop at UDF and

481
00:24:24,240 --> 00:24:27,119
Speaker 2: you put quarters in. I have no idea how that

482
00:24:27,160 --> 00:24:31,720
Speaker 2: would work, but guarantee this, if they get to that point,

483
00:24:31,800 --> 00:24:34,879
Speaker 2: there will be some product that comes out. PNG is

484
00:24:34,880 --> 00:24:38,800
Speaker 2: probably already working on something to make your anus smell better.

485
00:24:38,920 --> 00:24:41,040
Speaker 2: So it's to have fresh breath from the mouth and

486
00:24:41,080 --> 00:24:43,720
Speaker 2: the butt as well, a butt muffler or something. I

487
00:24:43,760 --> 00:24:45,159
Speaker 2: don't know how they're going to do this. It's a

488
00:24:45,280 --> 00:24:48,040
Speaker 2: I don't know if it's a stovepipe. I'm not going. Sure,

489
00:24:48,720 --> 00:24:50,160
Speaker 2: you just think of I go, well, you now you've

490
00:24:50,160 --> 00:24:53,040
Speaker 2: seriously if you can't breathe, that's problematic for the human

491
00:24:53,080 --> 00:24:56,960
Speaker 2: condition generally. Not breathing is frowned upon in these parts,

492
00:24:57,760 --> 00:24:59,680
Speaker 2: tends not to have good outcomes, as they say in

493
00:24:59,720 --> 00:25:02,840
Speaker 2: the metal field. Now there's an option to actually be

494
00:25:02,920 --> 00:25:06,040
Speaker 2: able to breathe through your butt, well, not an option yet,

495
00:25:06,080 --> 00:25:08,879
Speaker 2: it's maybe they're working on this thing. What is that

496
00:25:08,960 --> 00:25:14,440
Speaker 2: king to look like? Science is freaking amazing, absolutely amazing.

497
00:25:14,800 --> 00:25:17,199
Speaker 2: That's good stuff right there, Scott's Sloan Show on this

498
00:25:17,480 --> 00:25:19,639
Speaker 2: Thursday morning. So yeah, we're on the backside of this

499
00:25:19,680 --> 00:25:22,400
Speaker 2: whole thing. Coming up at ten oh six dominic. Misser

500
00:25:22,440 --> 00:25:26,080
Speaker 2: Indido's here. He's a retail expert. Okay, what nine months

501
00:25:26,080 --> 00:25:28,240
Speaker 2: in roughly we're heading to the quarter four quarter four

502
00:25:28,320 --> 00:25:30,639
Speaker 2: is here? How's this whole tariff thing working out? I

503
00:25:30,680 --> 00:25:34,960
Speaker 2: was at the store yes two days ago and it

504
00:25:35,000 --> 00:25:37,359
Speaker 2: was Costco. Of all places, which I love be some

505
00:25:37,440 --> 00:25:41,040
Speaker 2: Costco because the prices are good, people are very friendly there,

506
00:25:42,720 --> 00:25:46,320
Speaker 2: and everything's in quantity, which we like. I actually, for

507
00:25:46,359 --> 00:25:48,320
Speaker 2: the first time a long time or since I can

508
00:25:48,359 --> 00:25:51,879
Speaker 2: ever remember, said look to beef and went, yeah, it's

509
00:25:51,920 --> 00:25:55,760
Speaker 2: too expensive. It didn't high like to eat right, being

510
00:25:55,840 --> 00:25:57,760
Speaker 2: Italian and all that. And I look at it and go, wow,

511
00:25:58,600 --> 00:26:00,439
Speaker 2: pick up a pack of steaks and they were just

512
00:26:00,440 --> 00:26:02,160
Speaker 2: like I don't know, strip stakes or something like that.

513
00:26:02,240 --> 00:26:05,359
Speaker 2: And it was one hundred dollars for it was a

514
00:26:05,359 --> 00:26:07,400
Speaker 2: good It was a costco sized pack mine. It wasn't

515
00:26:07,440 --> 00:26:10,880
Speaker 2: like tuesdaks. Even the hamburger was like, you know, six

516
00:26:10,920 --> 00:26:15,359
Speaker 2: between six seven dollars a pound, Wow for hamburger. It

517
00:26:15,359 --> 00:26:17,639
Speaker 2: looks at it when okay, it's a lot of hamburger freeze,

518
00:26:17,680 --> 00:26:19,280
Speaker 2: like a lot of the stuff putting in the ceiler

519
00:26:19,320 --> 00:26:21,239
Speaker 2: and bag it up. But yeah, you know what, I'm

520
00:26:21,280 --> 00:26:24,920
Speaker 2: good chicka dizer, Like I got two forty nine pound,

521
00:26:24,960 --> 00:26:27,720
Speaker 2: I'll go that. I'll do that, Like do I need no, No,

522
00:26:27,800 --> 00:26:31,400
Speaker 2: we're good, We're good. I couldn't believe it. But then

523
00:26:31,400 --> 00:26:34,000
Speaker 2: that's just me, and I'm sure you and in course

524
00:26:34,040 --> 00:26:36,840
Speaker 2: countless other people. So many people feel the effect that

525
00:26:36,920 --> 00:26:38,439
Speaker 2: every day. And you know, you look at it and go,

526
00:26:38,480 --> 00:26:40,119
Speaker 2: can I actually afford to buy hamber It used to

527
00:26:40,160 --> 00:26:42,520
Speaker 2: be steak, right or something nicer cut of meat. Now

528
00:26:42,560 --> 00:26:44,400
Speaker 2: it's like I can't even I can iffer eggs, hamburger.

529
00:26:44,400 --> 00:26:47,439
Speaker 2: It's all going through the roof inflation and tariffs and

530
00:26:47,480 --> 00:26:49,360
Speaker 2: of course you know with beef too. There's a lot

531
00:26:49,359 --> 00:26:52,159
Speaker 2: of other factors in there as well, with droughts and sicknesses.

532
00:26:52,160 --> 00:26:53,800
Speaker 2: But we'll get into that with the dominant coming up

533
00:26:53,800 --> 00:26:55,880
Speaker 2: at twelve I'm sorry, twelve or six, I said, coming

534
00:26:55,960 --> 00:26:57,480
Speaker 2: up at t ten oh seven this morning here on

535
00:26:57,480 --> 00:27:01,159
Speaker 2: the Scott Sloan Show on seven hundred WW News on

536
00:27:01,200 --> 00:27:03,760
Speaker 2: the way about six minutes here, seven hundred W WELW

537
00:27:03,920 --> 00:27:07,320
Speaker 2: Scott's Loan Show. Keeping on top of everything. The latest

538
00:27:07,320 --> 00:27:10,840
Speaker 2: Thigi news kind of light today, But yesterday I think

539
00:27:10,880 --> 00:27:15,400
Speaker 2: it was WCPO nine at a interview with aftab Purevall

540
00:27:15,480 --> 00:27:17,800
Speaker 2: and he said, no, this investigation is going to take

541
00:27:18,000 --> 00:27:21,320
Speaker 2: months to figure out what she did wrong so we

542
00:27:21,359 --> 00:27:26,880
Speaker 2: can fire her. And you know, typically you go, well, maybe, okay, yeah,

543
00:27:26,960 --> 00:27:29,560
Speaker 2: you know, maybe Thigi was did something that's going to

544
00:27:29,680 --> 00:27:33,359
Speaker 2: cause her to be suspended and paid leave and what

545
00:27:33,880 --> 00:27:36,240
Speaker 2: what has she got summoned back from the conference in

546
00:27:36,359 --> 00:27:40,480
Speaker 2: Denver and we thought it was crime related and they're

547
00:27:40,520 --> 00:27:44,159
Speaker 2: investigating her and now she's paid leave. What's going on?

548
00:27:44,240 --> 00:27:46,720
Speaker 2: What kind of high level stuff is going on. Ask

549
00:27:46,800 --> 00:27:50,040
Speaker 2: yourself a question, and that may be true, but ask

550
00:27:50,080 --> 00:27:53,600
Speaker 2: yourself a question. How many times has that actually happened

551
00:27:53,640 --> 00:27:56,920
Speaker 2: where someone is said, hey, we've suspended a person. Now

552
00:27:56,960 --> 00:27:59,520
Speaker 2: we're going to wait two or three months and then

553
00:27:59,640 --> 00:28:02,200
Speaker 2: tell you what it is we think they did wrong.

554
00:28:04,320 --> 00:28:07,200
Speaker 2: Doesn't that Isn't that completely counter to the criminal justice system,

555
00:28:07,600 --> 00:28:11,240
Speaker 2: even did the basics of due process And ironically, she's

556
00:28:11,280 --> 00:28:16,200
Speaker 2: the chief of police. Due processes. Okay, here's what we're

557
00:28:16,280 --> 00:28:20,520
Speaker 2: charging you with. Here are the accusations against you. Defend yourself.

558
00:28:21,920 --> 00:28:25,800
Speaker 2: Instead they're going, okay, we're going to suspend you. Now

559
00:28:25,800 --> 00:28:27,720
Speaker 2: we're going to look for the stuff we suspended you.

560
00:28:28,080 --> 00:28:30,280
Speaker 2: It's it's part and parcel for what's going on in

561
00:28:30,359 --> 00:28:34,000
Speaker 2: city hall. It really is something else. I'm not saying

562
00:28:34,040 --> 00:28:37,440
Speaker 2: she's cla I don't know. I knowing Terry and her

563
00:28:37,480 --> 00:28:40,440
Speaker 2: family and what they've done, hard to believe that she'd

564
00:28:40,440 --> 00:28:42,160
Speaker 2: be up to something that would cost her her job,

565
00:28:43,360 --> 00:28:45,400
Speaker 2: and you start to the mind wanders of things you

566
00:28:45,440 --> 00:28:47,479
Speaker 2: could do as a chief that would cause you to

567
00:28:47,520 --> 00:28:51,000
Speaker 2: be forced out. But we've never heard a rumor about that.

568
00:28:51,240 --> 00:28:53,719
Speaker 2: Talk to people at other news organizations, they haven't heard

569
00:28:53,760 --> 00:28:56,960
Speaker 2: anything like that. With Terry Thiji. It doesn't pass a

570
00:28:57,000 --> 00:28:59,640
Speaker 2: sniff test. But again, no, normally how you do, like

571
00:28:59,680 --> 00:29:04,080
Speaker 2: PG sitting and felt for example, okay, we heard rumors

572
00:29:04,120 --> 00:29:06,720
Speaker 2: and then okay we had the FBI and the sting

573
00:29:06,760 --> 00:29:11,000
Speaker 2: and all that. That information came out and he of

574
00:29:11,000 --> 00:29:14,080
Speaker 2: course denied it all and then went to prison and

575
00:29:14,120 --> 00:29:18,040
Speaker 2: then got out of prison because it was overturned. I

576
00:29:18,120 --> 00:29:21,240
Speaker 2: get that. That's usually how it works. I don't see

577
00:29:21,280 --> 00:29:25,400
Speaker 2: too often, if ever, we hat somethe go, we're suspending

578
00:29:25,440 --> 00:29:28,200
Speaker 2: them and there's no inkling as to what they They

579
00:29:28,200 --> 00:29:32,360
Speaker 2: don't know what they did. So I'll reach out to

580
00:29:32,360 --> 00:29:35,160
Speaker 2: Steve vm over at Finny lawfer maybe he wants to

581
00:29:35,200 --> 00:29:37,600
Speaker 2: come on and address this. We'll probably do that next

582
00:29:37,640 --> 00:29:39,640
Speaker 2: week because hey, you know what, Thursday, Friday, you're thinking

583
00:29:39,640 --> 00:29:41,440
Speaker 2: about the weekend, and so am I. So it feels

584
00:29:41,440 --> 00:29:43,280
Speaker 2: like a good Monday topic. And who the hell knows

585
00:29:43,320 --> 00:29:45,520
Speaker 2: what's going to happen between now and then? You got me?

586
00:29:45,720 --> 00:29:48,320
Speaker 2: You got me? Speaking of crime and punishment, the Louver

587
00:29:48,680 --> 00:29:52,440
Speaker 2: The louverra reopened yesterday, first time since Steve's stold eight

588
00:29:52,480 --> 00:29:55,440
Speaker 2: of France's crown jewels and the value on that by

589
00:29:55,440 --> 00:29:58,520
Speaker 2: the Way Street value of over one hundred million dollars

590
00:29:58,720 --> 00:30:01,920
Speaker 2: for eight jewels, and they're still in the hunt obviously

591
00:30:01,920 --> 00:30:05,240
Speaker 2: for the four thieves that did this during daylight hours.

592
00:30:05,680 --> 00:30:08,240
Speaker 2: And what it incredibly they are addressed is construction workers.

593
00:30:08,800 --> 00:30:11,160
Speaker 2: They get in and out of the louver in less

594
00:30:11,160 --> 00:30:13,960
Speaker 2: than what seven minutes while the museum was opening to

595
00:30:14,000 --> 00:30:17,120
Speaker 2: the public, and they also set off two alarms and

596
00:30:17,160 --> 00:30:20,040
Speaker 2: were confronted by security personnel and somehow talked their way

597
00:30:20,040 --> 00:30:22,920
Speaker 2: out of it and then hopped on some motorcycles and

598
00:30:23,040 --> 00:30:26,120
Speaker 2: took off, which is pretty smart when you think about it.

599
00:30:26,120 --> 00:30:28,160
Speaker 2: I mean, Paris, there are a life you've never been.

600
00:30:28,240 --> 00:30:31,840
Speaker 2: But it's an incredible number of motorcycles they have in Europe,

601
00:30:31,880 --> 00:30:35,360
Speaker 2: but particularly in France and in Paris obviously because so

602
00:30:35,440 --> 00:30:37,800
Speaker 2: many people in the streets are so narrow, but you

603
00:30:37,840 --> 00:30:40,480
Speaker 2: can get around on them pretty quickly. The idea that

604
00:30:40,520 --> 00:30:42,000
Speaker 2: you're going to know all the things it gets you know,

605
00:30:42,080 --> 00:30:45,640
Speaker 2: if you I stole a painting, be much harder to

606
00:30:45,680 --> 00:30:48,640
Speaker 2: get away on a motorcycle. But he's still jewels, which

607
00:30:48,680 --> 00:30:51,040
Speaker 2: is probably part of the target. It's like, okay, well

608
00:30:51,040 --> 00:30:52,480
Speaker 2: I can throw them in my pocket, get them on

609
00:30:52,520 --> 00:30:55,200
Speaker 2: bike and roll and then they had that image of

610
00:30:55,200 --> 00:30:57,640
Speaker 2: the electric ladder that was extended the second floor window.

611
00:30:57,720 --> 00:31:01,040
Speaker 2: But the louver is undergoing extens remodeling, as you may

612
00:31:01,120 --> 00:31:03,240
Speaker 2: or may not know, and that's a pretty common sight.

613
00:31:03,320 --> 00:31:05,160
Speaker 2: That's how you get things to the top floors. If

614
00:31:05,160 --> 00:31:07,800
Speaker 2: you've you know, we see it occasionally in Cincinnati and

615
00:31:07,840 --> 00:31:10,080
Speaker 2: are the most densest urban area. But if you go

616
00:31:10,160 --> 00:31:13,360
Speaker 2: to I don't like Chicago or New York for example,

617
00:31:13,400 --> 00:31:15,160
Speaker 2: and you watch them work on a building, I mean

618
00:31:15,200 --> 00:31:18,600
Speaker 2: to hoist drywall up is a feat of engineering. We're

619
00:31:18,640 --> 00:31:20,200
Speaker 2: literally got to blow all the windows out and just

620
00:31:20,280 --> 00:31:22,120
Speaker 2: hoist it up on a giant lift and get the

621
00:31:22,120 --> 00:31:24,680
Speaker 2: sheets of drywall up to the thirtieth floor whatever it

622
00:31:24,760 --> 00:31:28,840
Speaker 2: is you're going. That's a whole different operation there. So

623
00:31:29,600 --> 00:31:31,480
Speaker 2: it all it all kind of fit together. The fascinating

624
00:31:31,520 --> 00:31:36,040
Speaker 2: part about this to me is how the alarms want

625
00:31:36,040 --> 00:31:38,600
Speaker 2: they know the alarms would go off in security to respond,

626
00:31:38,640 --> 00:31:41,400
Speaker 2: and how they are still able to get away in

627
00:31:41,520 --> 00:31:44,160
Speaker 2: talking their way out of this thing dress as construction workers.

628
00:31:44,320 --> 00:31:46,400
Speaker 2: I cannot wait to hear that element of it. That's

629
00:31:46,400 --> 00:31:48,520
Speaker 2: the most fascinating part of this to me. And also

630
00:31:48,960 --> 00:31:51,640
Speaker 2: it makes you think, well they had some insight knowledge

631
00:31:51,640 --> 00:31:53,960
Speaker 2: of how things are going to work, because I did

632
00:31:54,000 --> 00:31:56,920
Speaker 2: read that there are cameras in the second story. We're

633
00:31:56,920 --> 00:31:59,200
Speaker 2: facing in the wrong direction. And you know, if you're

634
00:31:59,240 --> 00:32:01,560
Speaker 2: working in construc diduction on a floor a couple of floors,

635
00:32:01,880 --> 00:32:06,400
Speaker 2: moving stuff around is commonplace, and so you wonder if

636
00:32:08,120 --> 00:32:10,400
Speaker 2: that was maybe how they got in, but you also

637
00:32:10,480 --> 00:32:12,400
Speaker 2: think you'd have to have people inside the loop helping

638
00:32:12,440 --> 00:32:16,000
Speaker 2: you too, and pretty precise the fact that they got

639
00:32:16,040 --> 00:32:18,520
Speaker 2: in they got specifically what they wanted because there I

640
00:32:18,560 --> 00:32:20,720
Speaker 2: know there's I don't know the total number of Crown jewels,

641
00:32:20,760 --> 00:32:23,480
Speaker 2: but there's a number. They got eight of them, very

642
00:32:23,520 --> 00:32:26,080
Speaker 2: specific items. But doesn't that make you think, okay, if

643
00:32:26,160 --> 00:32:30,560
Speaker 2: specifically they got these things, was this like a did

644
00:32:30,600 --> 00:32:32,320
Speaker 2: they already have the fence set up? And it was

645
00:32:32,360 --> 00:32:34,680
Speaker 2: that someoney who said, hey, listen, we'll pay you this

646
00:32:34,680 --> 00:32:37,080
Speaker 2: amount of money if you can get these jewels, go

647
00:32:37,120 --> 00:32:38,440
Speaker 2: in and get them. And they did that. It was

648
00:32:38,480 --> 00:32:43,200
Speaker 2: like a basically they placed an order and the thieves

649
00:32:43,200 --> 00:32:45,480
Speaker 2: went and got this stuff. And just the number of

650
00:32:45,520 --> 00:32:47,640
Speaker 2: people it took too, I think to pull this off

651
00:32:47,720 --> 00:32:51,120
Speaker 2: is fascinating to me. So and it's just like the

652
00:32:51,160 --> 00:32:54,680
Speaker 2: Italian job or Snatch or I mentioned Inspectorcluso in Pink

653
00:32:54,720 --> 00:32:57,560
Speaker 2: Panther or Ocean's eleven. Yeah, it's just a good fevery

654
00:32:57,640 --> 00:32:59,000
Speaker 2: story and you look at it, go this is gonna

655
00:32:59,000 --> 00:33:00,680
Speaker 2: be Give me some pop because this it's gonna be

656
00:33:00,680 --> 00:33:03,320
Speaker 2: great on Netflix when they finally solve this whole thing.

657
00:33:03,360 --> 00:33:04,440
Speaker 1: By the way, uh.

658
00:33:04,400 --> 00:33:06,560
Speaker 2: Scotts Tholone coming up next to the show Don Mizarndinos.

659
00:33:06,560 --> 00:33:10,000
Speaker 2: Here is retail experts, the terraffs feeling that we're feeling

660
00:33:10,040 --> 00:33:12,760
Speaker 2: the squeeze the consumer end. And I think that is

661
00:33:12,800 --> 00:33:15,360
Speaker 2: indeed the problem here because when it's I don't know,

662
00:33:15,400 --> 00:33:18,720
Speaker 2: cattle ranchers are getting money, Venezuela is getting money. We

663
00:33:18,840 --> 00:33:20,480
Speaker 2: got money coming in from the terrace, but it's not

664
00:33:20,520 --> 00:33:23,000
Speaker 2: trickling down to me and you. And if so, how

665
00:33:23,000 --> 00:33:24,720
Speaker 2: long can we stand this pain with the terraffs. That's

666
00:33:24,760 --> 00:33:26,840
Speaker 2: just ahead on the Home of the Best Bengals coverage

667
00:33:26,840 --> 00:33:28,440
Speaker 2: seven hundred ww Cincinnati.

668
00:33:28,760 --> 00:33:30,920
Speaker 5: Do you want to be an Americanio?

669
00:33:31,680 --> 00:33:34,960
Speaker 2: He's got flown back on seven hundred WWT So, my

670
00:33:35,000 --> 00:33:36,680
Speaker 2: wife and I work Costco the other day. Love me

671
00:33:36,760 --> 00:33:38,760
Speaker 2: some Costco even though it's just two of us for

672
00:33:38,800 --> 00:33:42,280
Speaker 2: summer speaking chop at Costco. Do I really need Do

673
00:33:42,360 --> 00:33:44,960
Speaker 2: I really need a fifty five gallon drum a mayonnaise? No,

674
00:33:45,040 --> 00:33:47,640
Speaker 2: but damn it, look at that price on that. Unfortunately,

675
00:33:47,680 --> 00:33:50,200
Speaker 2: I'm looking around it for the first time since I

676
00:33:50,200 --> 00:33:52,479
Speaker 2: don't know when I looked at a package of beef

677
00:33:53,680 --> 00:33:55,120
Speaker 2: and I think it was like, you know, a pack

678
00:33:55,120 --> 00:33:56,920
Speaker 2: of steaks or something you freeze on me to cut,

679
00:33:57,120 --> 00:33:59,000
Speaker 2: and it was over one hundred dollars may like a

680
00:33:59,080 --> 00:34:02,200
Speaker 2: package of ground beef. Now granted it's the Costco size package,

681
00:34:02,240 --> 00:34:05,040
Speaker 2: but it was like forty to fifty bucks. And I

682
00:34:05,080 --> 00:34:08,680
Speaker 2: looked at it and went, nope. So where are you

683
00:34:09,280 --> 00:34:11,360
Speaker 2: on tariffs, because that's part of this too. Beef is

684
00:34:11,360 --> 00:34:13,400
Speaker 2: a I think maybe a little bit different. But you know,

685
00:34:13,480 --> 00:34:15,239
Speaker 2: we have that we have inflation driving the cost of

686
00:34:15,280 --> 00:34:18,120
Speaker 2: goods or consumers the stuff that is widely important in

687
00:34:18,120 --> 00:34:21,280
Speaker 2: the US, in particular furniture, car parts, electronics. I mentioned

688
00:34:21,280 --> 00:34:23,800
Speaker 2: beef getting hit some of the big ones companies that

689
00:34:23,920 --> 00:34:26,680
Speaker 2: passed on roughly two thirds of those costs to us

690
00:34:26,719 --> 00:34:29,319
Speaker 2: to meet and you and we're waiting for all this

691
00:34:29,400 --> 00:34:32,120
Speaker 2: to come back to us. The question is if and

692
00:34:32,200 --> 00:34:34,560
Speaker 2: when and on that is dominic mister Indino is a

693
00:34:34,880 --> 00:34:39,640
Speaker 2: CEO at retail tech Media Nexus Rtmnexus dot com Dominic.

694
00:34:39,680 --> 00:34:40,600
Speaker 2: Welcome back, How you doing.

695
00:34:40,480 --> 00:34:43,759
Speaker 4: Brother, Thrilled to be back. Thrilled to be back and

696
00:34:43,840 --> 00:34:46,880
Speaker 4: cover some light and airy issues the economy.

697
00:34:48,120 --> 00:34:50,839
Speaker 2: I was cringing at the price of beef and walk

698
00:34:50,880 --> 00:34:53,839
Speaker 2: in and went now And I don't ever remember doing

699
00:34:53,880 --> 00:34:57,040
Speaker 2: that because I like beef, I like chicken, I like

700
00:34:57,120 --> 00:35:01,439
Speaker 2: you know this, My body type is beef. So when

701
00:35:01,440 --> 00:35:04,320
Speaker 2: we look at the tariffs themselves and what's happening or

702
00:35:04,320 --> 00:35:07,800
Speaker 2: President Trump just told cattle ranchers, I think yesterday, the

703
00:35:07,880 --> 00:35:10,239
Speaker 2: only reason they're doing so well is because tariffs on

704
00:35:10,280 --> 00:35:13,080
Speaker 2: cattle come in the United States are causing their prices

705
00:35:13,120 --> 00:35:15,040
Speaker 2: and they're causing make a more profit. And that includes

706
00:35:15,080 --> 00:35:18,520
Speaker 2: a fifty percent tear from Brazil. But now we want

707
00:35:18,560 --> 00:35:22,080
Speaker 2: to import beef from Argentina because we want we want

708
00:35:22,080 --> 00:35:24,680
Speaker 2: to help their economy, and then cattle ranchers here will

709
00:35:24,680 --> 00:35:27,880
Speaker 2: get three billion dollars in assistance to those who have

710
00:35:27,920 --> 00:35:30,520
Speaker 2: been hurt with the trade dispute with countries like China.

711
00:35:30,600 --> 00:35:34,399
Speaker 2: So it's like just a malgam. It's a casse role

712
00:35:34,560 --> 00:35:37,600
Speaker 2: of subsidy and giveaway and tariffs and then we're taking

713
00:35:37,600 --> 00:35:40,160
Speaker 2: the money and giving it to farmers, and it feels

714
00:35:40,160 --> 00:35:43,480
Speaker 2: like everyone's getting money of foreign countries and farmers, but

715
00:35:43,920 --> 00:35:45,160
Speaker 2: they ain't doing anything for me and you.

716
00:35:46,600 --> 00:35:49,360
Speaker 4: Well, and I think started the basics of the equation,

717
00:35:50,120 --> 00:35:52,160
Speaker 4: and I go back to the basics, mean, what is

718
00:35:52,200 --> 00:35:56,640
Speaker 4: a tar of the tariff is attacks essentially passed on

719
00:35:56,840 --> 00:36:00,439
Speaker 4: to the consumer unimported goods, which means and you're gon't

720
00:36:00,440 --> 00:36:02,880
Speaker 4: have to buy beef right now. Your choice is American

721
00:36:02,920 --> 00:36:06,279
Speaker 4: beef at the price, and everything else has a paraffon it,

722
00:36:06,320 --> 00:36:08,799
Speaker 4: there by making it more expensive, making the American beef

723
00:36:08,840 --> 00:36:12,759
Speaker 4: price grows up. If the American consumer is good with that,

724
00:36:12,840 --> 00:36:17,000
Speaker 4: paying higher prices, then hooray on Paris. Now the challenge

725
00:36:17,040 --> 00:36:19,560
Speaker 4: is the American consumer, such as yourself, knock on the door,

726
00:36:19,560 --> 00:36:22,360
Speaker 4: say one hundred dollars for feet. What's going on, dude?

727
00:36:23,360 --> 00:36:26,360
Speaker 4: And cause there's one cycle. In the addition, you have

728
00:36:26,400 --> 00:36:28,799
Speaker 4: this other issue, this whole Argentina thing. And then the

729
00:36:28,840 --> 00:36:32,000
Speaker 4: farmers themselves saying, wait a minute, I thought we were

730
00:36:32,040 --> 00:36:35,160
Speaker 4: winning in this equation. By stopping all external beef, you're

731
00:36:35,880 --> 00:36:38,759
Speaker 4: helping Argentina. So I think you have almost like two

732
00:36:38,840 --> 00:36:42,359
Speaker 4: stories hitting each other like the cars driving into each

733
00:36:42,400 --> 00:36:45,319
Speaker 4: other middle the highway. And to be honest, the only

734
00:36:45,360 --> 00:36:47,240
Speaker 4: one to lose is the guy who has a paycheck

735
00:36:47,280 --> 00:36:51,200
Speaker 4: who says, are these parents necessarily getting me where I

736
00:36:51,239 --> 00:36:51,600
Speaker 4: want to be?

737
00:36:52,239 --> 00:36:54,239
Speaker 2: I think it's a fair assessment because you look at

738
00:36:54,239 --> 00:36:57,759
Speaker 2: the Brazil and the tariffs and women to Argentine, Well Argentina, okay,

739
00:36:57,760 --> 00:36:59,759
Speaker 2: Well need to help their economy. So we're gonna we're

740
00:36:59,800 --> 00:37:01,480
Speaker 2: with the tariffs. I don't know what the impact is

741
00:37:01,560 --> 00:37:03,719
Speaker 2: Argentina tariffs, but we only left their economents. They're gonna

742
00:37:03,719 --> 00:37:07,760
Speaker 2: give them subsidy. We're gonna Venezuela in another one. Cattle ranchers

743
00:37:07,760 --> 00:37:10,080
Speaker 2: here get three billion dollars because they're not selling stake

744
00:37:10,120 --> 00:37:12,160
Speaker 2: because somebody like me walks in goes. I ain't paying

745
00:37:12,160 --> 00:37:14,960
Speaker 2: that for a stake. You know, it'll be special came

746
00:37:15,000 --> 00:37:17,960
Speaker 2: back to special occasion or grand beef or whatever it is. Okay,

747
00:37:17,960 --> 00:37:20,719
Speaker 2: So they're getting money through you know, tariffs and sub

748
00:37:20,760 --> 00:37:23,359
Speaker 2: said it, we don't get anything as the consumers. Now

749
00:37:23,560 --> 00:37:25,960
Speaker 2: we're waiting. We're told back in January and up to

750
00:37:26,000 --> 00:37:27,600
Speaker 2: that that hey, we're gonna hit the tariffs, and guess

751
00:37:27,640 --> 00:37:29,800
Speaker 2: what we're gonna start getting jobs back, it's going to

752
00:37:29,840 --> 00:37:31,840
Speaker 2: start just cost everyone's going to be rich. And we

753
00:37:31,960 --> 00:37:34,239
Speaker 2: keep waiting for that, and I think, you know, here

754
00:37:34,280 --> 00:37:37,640
Speaker 2: we are and and the Q four right now, we're

755
00:37:37,640 --> 00:37:40,400
Speaker 2: not seeing that, and that really is the problem right here,

756
00:37:40,440 --> 00:37:42,480
Speaker 2: we're not getting the relief we were told we're going

757
00:37:42,560 --> 00:37:42,759
Speaker 2: to get.

758
00:37:43,920 --> 00:37:46,560
Speaker 4: I think the critical part of that is the when,

759
00:37:47,080 --> 00:37:53,399
Speaker 4: meaning tariffs add to the American overall budget to put

760
00:37:53,400 --> 00:37:56,120
Speaker 4: them in supplicitic we get the money we're collecting. Everyone

761
00:37:56,160 --> 00:37:57,920
Speaker 4: has to pay more for their beads, and they put

762
00:37:57,920 --> 00:38:00,799
Speaker 4: sending money right to the US government. All right, theoretically

763
00:38:00,840 --> 00:38:04,120
Speaker 4: paying down debt, but the when kicks in, so you're

764
00:38:04,120 --> 00:38:06,759
Speaker 4: paying one hundred bucks x percentage of it goes to

765
00:38:06,840 --> 00:38:10,240
Speaker 4: tariffs if it's not US based, goes right to the

766
00:38:10,360 --> 00:38:13,960
Speaker 4: US budget, and thereby you're paying down the budget. Now

767
00:38:14,000 --> 00:38:16,960
Speaker 4: your next question of when, well, most estimates are ten

768
00:38:17,080 --> 00:38:20,919
Speaker 4: years plus, right, So the average consumer has to think

769
00:38:20,960 --> 00:38:24,960
Speaker 4: the when timeline is a little bit off. You know,

770
00:38:25,000 --> 00:38:27,280
Speaker 4: we're not going to see necessarily you're paying a hundred

771
00:38:27,280 --> 00:38:31,160
Speaker 4: bucks and the next week prices magically dropped. Yep. And

772
00:38:31,239 --> 00:38:34,120
Speaker 4: I think the American, the average person you know, can

773
00:38:36,239 --> 00:38:39,879
Speaker 4: can live with this three months, six months, nine months,

774
00:38:39,920 --> 00:38:42,880
Speaker 4: and now we're coming down to nine months of the presidency.

775
00:38:43,640 --> 00:38:46,640
Speaker 4: It's a doubt. See how people look at saying, why

776
00:38:46,680 --> 00:38:47,840
Speaker 4: am I paying this much? Wealthy?

777
00:38:47,920 --> 00:38:50,080
Speaker 2: I get it right, We're not in the town. We've

778
00:38:50,080 --> 00:38:52,040
Speaker 2: seen this before, like the wars and stuff. We just

779
00:38:52,480 --> 00:38:54,360
Speaker 2: you fight America, just go. We'll just hang on for

780
00:38:54,400 --> 00:38:56,719
Speaker 2: a lot longer because we have the attention span of

781
00:38:56,760 --> 00:38:59,200
Speaker 2: a moth, which is pretty much non existing, and we

782
00:38:59,280 --> 00:39:01,480
Speaker 2: just okay, well, look at the midterms and we'll punish

783
00:39:01,480 --> 00:39:04,239
Speaker 2: Republicans because it's not going fast enough, and then a

784
00:39:04,280 --> 00:39:05,960
Speaker 2: Democrat will come in and undo all this stuff and

785
00:39:06,000 --> 00:39:07,799
Speaker 2: start their own policies, and that won't work, and then

786
00:39:07,840 --> 00:39:10,480
Speaker 2: we're back to a Republican and meanwhile, the cost of

787
00:39:10,520 --> 00:39:13,280
Speaker 2: everything is going through the roof. I think in particulars,

788
00:39:13,280 --> 00:39:15,799
Speaker 2: you know Dominic with beef, there are some outliers there

789
00:39:15,760 --> 00:39:17,720
Speaker 2: an addition to tariffs and not just fair to say tarraffs.

790
00:39:17,719 --> 00:39:20,279
Speaker 2: But we had a multi year drought that caused cattle

791
00:39:20,320 --> 00:39:22,360
Speaker 2: herts to shrink. We know that farmers are hit with that,

792
00:39:22,480 --> 00:39:24,799
Speaker 2: and production expenses went up and I think we're down

793
00:39:24,840 --> 00:39:28,040
Speaker 2: by like seven to ten percent. Fewer ranches in America

794
00:39:28,120 --> 00:39:31,600
Speaker 2: number of cattle producing farms, and America's gone down over

795
00:39:31,640 --> 00:39:34,720
Speaker 2: the past several years. We had to stop importing cattle

796
00:39:34,760 --> 00:39:36,920
Speaker 2: from Mexico because of the screw worm, which is a

797
00:39:36,960 --> 00:39:40,640
Speaker 2: parasitic flesh eating maggot, I guess, And so we all

798
00:39:40,680 --> 00:39:42,560
Speaker 2: these factors in addition to the tariff that.

799
00:39:42,560 --> 00:39:48,000
Speaker 4: Doesn't help well, you know the other factor to me economically,

800
00:39:48,200 --> 00:39:51,520
Speaker 4: I am very much the type of thinking. More competition

801
00:39:51,719 --> 00:39:54,080
Speaker 4: gives us more choices. Isn't it great when you go

802
00:39:54,120 --> 00:39:56,600
Speaker 4: when you could say I want to buy Argentinian beef,

803
00:39:56,680 --> 00:39:58,959
Speaker 4: I want to buy a New Zealand lamb or whatever

804
00:39:58,960 --> 00:40:01,960
Speaker 4: you want. The problem with the tariffs is actually we're

805
00:40:02,040 --> 00:40:06,120
Speaker 4: eliminating to other choices For the average consumer. You go

806
00:40:06,160 --> 00:40:08,280
Speaker 4: there and you have to buy whatever is the cheapest

807
00:40:08,320 --> 00:40:10,760
Speaker 4: because you're just trying to make a paycheck at this point.

808
00:40:11,600 --> 00:40:15,360
Speaker 4: That doesn't necessarily help any lucky. But the competition does

809
00:40:15,480 --> 00:40:19,040
Speaker 4: reduce the prices and cause people to say, say, you know,

810
00:40:19,200 --> 00:40:22,400
Speaker 4: let me make the choice and maybe it's equal, and

811
00:40:22,440 --> 00:40:26,600
Speaker 4: you choose Americans, and that's great, right as an argument about.

812
00:40:26,360 --> 00:40:27,960
Speaker 2: That, right, Yeah? And I think the thing is we

813
00:40:28,480 --> 00:40:31,360
Speaker 2: heard that, I guess because of the tariffs America has made,

814
00:40:31,600 --> 00:40:33,120
Speaker 2: I guess, and the taxes and the import tax it

815
00:40:33,120 --> 00:40:35,879
Speaker 2: would be some two hundred million. I forget with the numbers.

816
00:40:35,920 --> 00:40:38,560
Speaker 2: It's a lot of money, but that's not getting sent

817
00:40:38,600 --> 00:40:40,520
Speaker 2: back to the tax for the consumers. It's going to

818
00:40:40,600 --> 00:40:43,400
Speaker 2: you know, the ranchers to not to make offsets and

819
00:40:43,680 --> 00:40:46,160
Speaker 2: other manufacturers get subs to the other countries are getting

820
00:40:46,160 --> 00:40:48,800
Speaker 2: that money back. It's not time to go ar Argentina,

821
00:40:49,000 --> 00:40:51,279
Speaker 2: right right, And none of us coming back to the

822
00:40:51,280 --> 00:40:55,520
Speaker 2: American consumer. Although some good news India. I guess the

823
00:40:55,600 --> 00:40:57,640
Speaker 2: US were close to coming up with a trade deal

824
00:40:57,680 --> 00:41:00,400
Speaker 2: that could cut things from fifty percent down to like

825
00:41:00,400 --> 00:41:03,000
Speaker 2: fifteen percent, which would be huge. How big a dent

826
00:41:03,120 --> 00:41:05,279
Speaker 2: does that make to the consumer? Do we see that?

827
00:41:07,040 --> 00:41:10,120
Speaker 4: I don't think we will because the other other factor

828
00:41:10,160 --> 00:41:12,560
Speaker 4: in all, if you're running a company in America and

829
00:41:12,640 --> 00:41:15,840
Speaker 4: let's say you're not affected by terrffs, but all the

830
00:41:15,960 --> 00:41:18,759
Speaker 4: other prices and now going up by fifty percent, you're

831
00:41:18,760 --> 00:41:21,040
Speaker 4: going to raise your price. I mean, I've spoken to

832
00:41:21,120 --> 00:41:26,120
Speaker 4: many retailers who said, we are American based, and while

833
00:41:26,160 --> 00:41:29,080
Speaker 4: the theory was the tariff, you know, I guess raises

834
00:41:29,120 --> 00:41:31,720
Speaker 4: everyone else's prices and the American is there by cheaper

835
00:41:31,719 --> 00:41:34,000
Speaker 4: and reason up because why am I going to charge

836
00:41:34,000 --> 00:41:36,759
Speaker 4: five bucks when everything else at ten? Because I'm just

837
00:41:36,760 --> 00:41:38,760
Speaker 4: making five bucks more now at this point. I'm raising

838
00:41:38,760 --> 00:41:40,759
Speaker 4: my price from five to ten at that point, and

839
00:41:40,880 --> 00:41:43,399
Speaker 4: the American consumer will take it because all the other

840
00:41:43,400 --> 00:41:44,600
Speaker 4: prices are now right.

841
00:41:45,520 --> 00:41:47,520
Speaker 2: Well at some point of me, you know, we heard

842
00:41:47,560 --> 00:41:49,439
Speaker 2: about the cost Well, we're going to eat the costs.

843
00:41:49,480 --> 00:41:51,839
Speaker 2: Eat the costs. Well, we know now that manufactures because

844
00:41:51,880 --> 00:41:55,040
Speaker 2: the data's out there that said they're passing two thirds

845
00:41:55,160 --> 00:41:58,600
Speaker 2: of stuff out of the consumer. So, but how do

846
00:41:58,719 --> 00:42:01,000
Speaker 2: retail how did they do? You're in the retail business dominic, mistery,

847
00:42:01,120 --> 00:42:04,040
Speaker 2: you know, how do they decide which tariff costs to absorb,

848
00:42:04,040 --> 00:42:05,360
Speaker 2: which wants to pass on the consumers?

849
00:42:05,480 --> 00:42:05,600
Speaker 5: What?

850
00:42:05,600 --> 00:42:05,880
Speaker 1: What?

851
00:42:05,880 --> 00:42:06,879
Speaker 2: What factors in on that?

852
00:42:07,960 --> 00:42:11,359
Speaker 4: I mean, I'm actually not only see r TM next

853
00:42:11,440 --> 00:42:14,960
Speaker 4: is the must board for Engaged three, a pricing company,

854
00:42:15,360 --> 00:42:18,600
Speaker 4: And we have these conversations all the time. It's what

855
00:42:18,680 --> 00:42:22,200
Speaker 4: the consumer wants in the sense that right now you're

856
00:42:22,200 --> 00:42:27,640
Speaker 4: buying all are you going jump to one fifty tomorrow? Probably?

857
00:42:27,640 --> 00:42:30,960
Speaker 4: Now you might switch to vegetables. However, one hundred dollars

858
00:42:31,000 --> 00:42:33,799
Speaker 4: beef for the next six months. Your mindset starts to

859
00:42:33,800 --> 00:42:37,040
Speaker 4: switch and you say, this is normal now and right now.

860
00:42:37,080 --> 00:42:39,160
Speaker 4: If you think we had this mantra of the price

861
00:42:39,200 --> 00:42:41,160
Speaker 4: of eggs, the price of eggs, the price of eggs,

862
00:42:41,680 --> 00:42:44,719
Speaker 4: it's not like the price of eggs is less when

863
00:42:44,840 --> 00:42:46,960
Speaker 4: Trump came to office. Now, I'm not saying that in

864
00:42:47,000 --> 00:42:51,040
Speaker 4: a political sense. I'm saying in a psychological sense. We

865
00:42:51,040 --> 00:42:54,640
Speaker 4: we set as a as a society, we all go,

866
00:42:55,600 --> 00:43:00,880
Speaker 4: this must be normal, there's nothing wrong about it's whatsoever?

867
00:43:01,400 --> 00:43:05,440
Speaker 4: And in fact, well, it isn't down. You know, it's

868
00:43:05,560 --> 00:43:08,600
Speaker 4: roughly where we were a year or two ago. Is that?

869
00:43:08,800 --> 00:43:12,080
Speaker 2: Yeah? And I think that's true, especially in Dominican gas prices.

870
00:43:12,160 --> 00:43:15,480
Speaker 2: Right when when the gas has been low recently, but

871
00:43:15,600 --> 00:43:17,520
Speaker 2: you know, hey, gas is up near for well, hits

872
00:43:17,520 --> 00:43:20,000
Speaker 2: that magic. You know even number four dollars, three fifty

873
00:43:20,000 --> 00:43:23,200
Speaker 2: four dollars gas four dollars agains. This is outrageous. But

874
00:43:23,239 --> 00:43:25,640
Speaker 2: if it drops down to three seventy five, three fifty,

875
00:43:25,640 --> 00:43:27,480
Speaker 2: you're like, oh, okay, gas prices down, but a year

876
00:43:27,480 --> 00:43:30,359
Speaker 2: ago gas was three dollars. Callum, we forget.

877
00:43:31,320 --> 00:43:34,080
Speaker 4: We absolutely do. I mean I'm looking right now, live

878
00:43:34,160 --> 00:43:36,400
Speaker 4: at the price of gas. It has been roughly the

879
00:43:36,560 --> 00:43:40,919
Speaker 4: same and high since twenty twenty when it dipped when

880
00:43:40,920 --> 00:43:45,040
Speaker 4: no one was using gas anyway during COVID. So we

881
00:43:45,239 --> 00:43:49,160
Speaker 4: do say, hooray went from four to three. Horay beef

882
00:43:49,239 --> 00:43:51,600
Speaker 4: is now one hundred, it goes down to ninety. And

883
00:43:51,680 --> 00:43:54,160
Speaker 4: I think we have to almost look and the data

884
00:43:54,200 --> 00:43:57,000
Speaker 4: is there. You can go Google. Everyone on this listening

885
00:43:57,160 --> 00:43:59,279
Speaker 4: now can go immediately Google, look at the price and

886
00:43:59,440 --> 00:44:04,840
Speaker 4: historically states and decide for themselves as voters, is this

887
00:44:05,080 --> 00:44:07,760
Speaker 4: the policies they want and how long? And the answer

888
00:44:07,800 --> 00:44:11,080
Speaker 4: could be yes in certain circumstances. Now to me, I

889
00:44:11,080 --> 00:44:13,680
Speaker 4: will say, in my opinion, I think certain times don't

890
00:44:13,680 --> 00:44:15,920
Speaker 4: make any sense to me in a sense like calling

891
00:44:16,960 --> 00:44:19,400
Speaker 4: the premise being you're going to raise that American industry,

892
00:44:19,880 --> 00:44:24,279
Speaker 4: but there's only one state that makes coffee. Yeah, it's light, right,

893
00:44:24,400 --> 00:44:29,560
Speaker 4: so why stock all others? Gasoline is a good example.

894
00:44:29,600 --> 00:44:33,719
Speaker 4: I don't think we should be limiting resources, and there's

895
00:44:33,800 --> 00:44:36,759
Speaker 4: very few resources. I think as a consumer makes sense

896
00:44:36,800 --> 00:44:39,640
Speaker 4: to limit because it's if limits my choices. I enjoy

897
00:44:39,719 --> 00:44:42,439
Speaker 4: going supermarket and having something different to try today.

898
00:44:42,520 --> 00:44:44,560
Speaker 2: Yeah, well, when by shut down a Keystone pipeline we

899
00:44:44,600 --> 00:44:46,560
Speaker 2: need more of that in the interim. I mean, you know,

900
00:44:46,640 --> 00:44:48,879
Speaker 2: clean energy is great, it's a great goal to have,

901
00:44:49,040 --> 00:44:50,920
Speaker 2: but for the least next hundred years, we're going to

902
00:44:51,000 --> 00:44:53,399
Speaker 2: dependent on fossil fuels. There's just no way around it

903
00:44:53,680 --> 00:44:56,439
Speaker 2: because it's in everything we consume, not just your car,

904
00:44:56,560 --> 00:44:59,439
Speaker 2: but your clothes, your house, your your your coffee cup,

905
00:44:59,520 --> 00:45:01,759
Speaker 2: all this. If it's insane to think that we can

906
00:45:01,800 --> 00:45:04,239
Speaker 2: just slip a switch and make everything green. Dominic miss

907
00:45:04,239 --> 00:45:07,560
Speaker 2: Redino's the CEO of Retail Tech Media and Nexus RTM

908
00:45:07,560 --> 00:45:11,600
Speaker 2: mediaext dot com and uh he is a expert when

909
00:45:11,600 --> 00:45:14,640
Speaker 2: it comes to why stuff costs what it costs in

910
00:45:14,680 --> 00:45:18,480
Speaker 2: the retail environment, and specifically it's starting to I think

911
00:45:18,480 --> 00:45:20,799
Speaker 2: we're starting to see at the checkout timing, what is

912
00:45:20,800 --> 00:45:23,400
Speaker 2: the impact on like Kroger for example, Cincinnati bas Kroger.

913
00:45:25,480 --> 00:45:28,520
Speaker 4: You know, all this comes down back to the consumer

914
00:45:28,800 --> 00:45:32,040
Speaker 4: in the sense that yes, is a question of passing

915
00:45:32,080 --> 00:45:35,200
Speaker 4: it on. But when you're limiting choices, what does the

916
00:45:35,239 --> 00:45:38,960
Speaker 4: consumer say? Generally, the consumer, when the price hit it,

917
00:45:39,080 --> 00:45:42,360
Speaker 4: we'll go into survival mode. So maybe you're not buying

918
00:45:42,360 --> 00:45:45,040
Speaker 4: the organic beats you want to buy. You know, maybe

919
00:45:45,040 --> 00:45:50,120
Speaker 4: you're not buying this specialty localized and they're buying survival.

920
00:45:50,640 --> 00:45:53,400
Speaker 4: So I think the mindset switches to what the consumer needs.

921
00:45:53,680 --> 00:45:57,960
Speaker 2: M what about independent retailers though? What about the little guy.

922
00:45:59,000 --> 00:46:04,040
Speaker 4: That theor to me, if you're the average consumer listening

923
00:46:04,040 --> 00:46:06,560
Speaker 4: on this broadcast and you're thinking yourself, where am I

924
00:46:06,600 --> 00:46:09,640
Speaker 4: going shopping? It's one hundred bucks people have When they

925
00:46:09,760 --> 00:46:12,719
Speaker 4: said that out loud, they're everything once can costco see it, oh,

926
00:46:12,760 --> 00:46:16,960
Speaker 4: buying that. They're not necessarily saying themselves, I'm going to

927
00:46:17,040 --> 00:46:21,200
Speaker 4: go downtown to that specialty butcher to buy that's specialty

928
00:46:21,640 --> 00:46:25,960
Speaker 4: localized XYZ. Not because they don't want to, because the

929
00:46:26,000 --> 00:46:29,920
Speaker 4: price is it's survival of that, you know, for the

930
00:46:29,960 --> 00:46:31,200
Speaker 4: family pay the bill. Yeah.

931
00:46:31,320 --> 00:46:35,120
Speaker 2: Yeah, We've got the holidays coming up. So then there's

932
00:46:35,120 --> 00:46:37,960
Speaker 2: a factor of seasonal planning and holiday inventory. Are we

933
00:46:38,000 --> 00:46:40,360
Speaker 2: going to notice a difference and how much stuff in

934
00:46:40,400 --> 00:46:42,880
Speaker 2: stock is on shelves because you don't want to overbuy,

935
00:46:43,560 --> 00:46:46,879
Speaker 2: you know, on underbuy. And it's a season starting earlier

936
00:46:46,920 --> 00:46:49,320
Speaker 2: and earlier because well, they're going to get their inventory

937
00:46:49,360 --> 00:46:50,319
Speaker 2: and when it's gone, it's gone.

938
00:46:51,400 --> 00:46:54,120
Speaker 4: I tell people the times start earlier for the holiday season.

939
00:46:54,800 --> 00:46:57,080
Speaker 4: I'm already starting to see it. I'm talking to retail thing.

940
00:46:57,200 --> 00:47:00,399
Speaker 4: Our inventory is shifting, we're running out of star more

941
00:47:00,440 --> 00:47:04,480
Speaker 4: often than not, we're hitting those delays. I don't think

942
00:47:04,520 --> 00:47:06,840
Speaker 4: it's necessarily panic as much, and I don't think kients

943
00:47:06,840 --> 00:47:09,040
Speaker 4: ever the right answer. It is planning. It's always planning

944
00:47:09,040 --> 00:47:10,160
Speaker 4: over panic, right.

945
00:47:12,080 --> 00:47:15,600
Speaker 2: Dominic as far as the big picture here, and you

946
00:47:15,640 --> 00:47:17,759
Speaker 2: know the way, Well, we're doing these teriffs because we're

947
00:47:17,760 --> 00:47:21,560
Speaker 2: going to repatriate American jobs. And I mean, are your suppliers,

948
00:47:21,600 --> 00:47:25,240
Speaker 2: are your the companies you represent, are they specifically seeking

949
00:47:25,360 --> 00:47:29,840
Speaker 2: American manufacturers and American trades people to supply them with

950
00:47:29,880 --> 00:47:34,160
Speaker 2: the goods that they need to stock their shelves.

951
00:47:33,000 --> 00:47:36,360
Speaker 4: To be fair, I think the answer, of course is

952
00:47:36,400 --> 00:47:42,560
Speaker 4: it depends chip manufacturers, chemicals dirty that Americans don't want.

953
00:47:42,840 --> 00:47:45,759
Speaker 4: They're not coming back, and nor maybe do we even

954
00:47:45,840 --> 00:47:47,799
Speaker 4: want them to come back. We don't necessarily want our

955
00:47:47,880 --> 00:47:52,120
Speaker 4: kids going into minds, right if we can avoid it.

956
00:47:53,320 --> 00:47:56,920
Speaker 4: That said, if it's something that can be repatriated, but

957
00:47:57,000 --> 00:47:59,759
Speaker 4: you know, you're not getting coffee coming to America anytime soon.

958
00:48:00,000 --> 00:48:04,120
Speaker 4: I'm not building a chick factory for ten years anytime soon.

959
00:48:04,800 --> 00:48:09,319
Speaker 4: Those things are definitely getting limited. So I think, uh,

960
00:48:09,360 --> 00:48:12,360
Speaker 4: you know. One example, I just spoke to an eyeglass company.

961
00:48:12,719 --> 00:48:16,360
Speaker 4: She's like, the only people can make these glasses, specialty,

962
00:48:16,440 --> 00:48:21,239
Speaker 4: high end glasses are in Italy. She's like, I can't

963
00:48:21,239 --> 00:48:23,520
Speaker 4: get a factory. She's like, if I get them to

964
00:48:23,600 --> 00:48:26,320
Speaker 4: even even if I could immigrate them over, which is

965
00:48:26,320 --> 00:48:30,520
Speaker 4: another immigration question. How do I get the specialtiest specialty

966
00:48:30,560 --> 00:48:32,319
Speaker 4: guy who's been doing this for fifty years to come

967
00:48:32,320 --> 00:48:37,800
Speaker 4: to Ohio and train the people on that craft craft

968
00:48:38,160 --> 00:48:42,600
Speaker 4: and artisanship and factories take a there are some that

969
00:48:42,760 --> 00:48:46,680
Speaker 4: might not woodworking, you know, we have there find things

970
00:48:46,760 --> 00:48:49,960
Speaker 4: we do have in America we don't. But when it

971
00:48:50,000 --> 00:48:54,280
Speaker 4: comes to industries that need to be recreated from scratch,

972
00:48:55,200 --> 00:49:00,560
Speaker 4: you hear these factories overseas. We're not going to get

973
00:49:00,600 --> 00:49:03,520
Speaker 4: American workers going in at four dollars an hour anytime soon,

974
00:49:04,400 --> 00:49:07,600
Speaker 4: just not the economics. But they have that instead.

975
00:49:08,760 --> 00:49:11,960
Speaker 2: Yeah, nobody knows where this ends, is the thing and

976
00:49:12,480 --> 00:49:14,439
Speaker 2: what happens over the next year or two years, because

977
00:49:14,480 --> 00:49:16,600
Speaker 2: belts are tightening and I think you know, your your

978
00:49:16,640 --> 00:49:18,719
Speaker 2: retailer see that at the counter, what people are buying

979
00:49:18,840 --> 00:49:21,640
Speaker 2: or not buying. You know, we look at the layoffs

980
00:49:21,680 --> 00:49:24,120
Speaker 2: of companies like P and G, for example here in Cincinnati,

981
00:49:24,480 --> 00:49:27,319
Speaker 2: because they're forward looking, right, they're looking quarters ahead, going, well,

982
00:49:27,440 --> 00:49:29,480
Speaker 2: you know what, people are buying cheaper laundry decrision, or

983
00:49:29,480 --> 00:49:31,600
Speaker 2: they're doing fewer loads of laundry. They'll still buying tide,

984
00:49:31,640 --> 00:49:34,680
Speaker 2: but they're doing fewer loads or trying to cram more

985
00:49:34,719 --> 00:49:37,560
Speaker 2: in their laundry. And so now we have to offset

986
00:49:37,600 --> 00:49:40,239
Speaker 2: that by well, we got to tighten our belts as well.

987
00:49:40,360 --> 00:49:42,960
Speaker 2: So it's it seems like it's slow moving, but it's not,

988
00:49:43,120 --> 00:49:44,960
Speaker 2: and the tariffs are coming on roofs, and longer it

989
00:49:45,000 --> 00:49:47,279
Speaker 2: goes on, we got to start seeing some payoffs at

990
00:49:47,320 --> 00:49:50,320
Speaker 2: some point, otherwise it's just going to be held to

991
00:49:50,360 --> 00:49:52,800
Speaker 2: pay here. I don't know how you can afford ground

992
00:49:52,840 --> 00:49:55,000
Speaker 2: beef at this point for the typical American family. I mean,

993
00:49:55,000 --> 00:49:57,680
Speaker 2: it's my wife and I We do fairly well, but

994
00:49:58,600 --> 00:50:01,600
Speaker 2: family members, our kids are example like, yeah, we can't

995
00:50:01,600 --> 00:50:04,200
Speaker 2: buy we can't afford that anymore. And you start to

996
00:50:04,280 --> 00:50:06,520
Speaker 2: wonder the effect if this how much longer this can

997
00:50:06,560 --> 00:50:09,840
Speaker 2: go on? He's Dominic Misterndino, CEO at Retail Tech Media

998
00:50:09,840 --> 00:50:14,239
Speaker 2: and Nexus Rtmnexus dot com. Dominic always appreciate the insight.

999
00:50:14,239 --> 00:50:15,439
Speaker 2: Thanks again, brother, I appreciate it.

1000
00:50:15,760 --> 00:50:17,080
Speaker 4: Thank you very much. We'll talk soon.

1001
00:50:17,160 --> 00:50:20,040
Speaker 2: Take care. News on the way in just about four minutes,

1002
00:50:20,080 --> 00:50:21,680
Speaker 2: five minutes from now here in the Big one, seven

1003
00:50:21,760 --> 00:50:26,160
Speaker 2: hundred WLW back half the week is here at least. Yeah,

1004
00:50:26,239 --> 00:50:28,600
Speaker 2: steak is now. It feel like a luxury man. And

1005
00:50:28,640 --> 00:50:30,720
Speaker 2: you know, if you go to Jeff Ruby's or Tony's

1006
00:50:30,880 --> 00:50:33,520
Speaker 2: or any one of the fine steakhouses in the city

1007
00:50:33,520 --> 00:50:35,000
Speaker 2: that were blessed to have, you know, you look at

1008
00:50:35,000 --> 00:50:37,600
Speaker 2: some of these prices, you go, wow, that went up like,

1009
00:50:37,680 --> 00:50:40,480
Speaker 2: you know, twenty bucks since I last remembered it. Yeah,

1010
00:50:40,520 --> 00:50:42,480
Speaker 2: there's a lot of sticker shot going and it's squeezing those

1011
00:50:42,480 --> 00:50:45,239
Speaker 2: guys too. So you want to see the worm turn here,

1012
00:50:45,280 --> 00:50:46,879
Speaker 2: and you wonder if it ever is going to turn

1013
00:50:46,920 --> 00:50:48,400
Speaker 2: at this point. I know nine months is not a

1014
00:50:48,400 --> 00:50:50,640
Speaker 2: long time, but for Americans, nine months is a long time.

1015
00:50:51,120 --> 00:50:55,759
Speaker 2: Just how it is. Seven hundred WLW. All right, here

1016
00:50:55,760 --> 00:50:59,080
Speaker 2: we go with drama in the Natural Basketball Association.

1017
00:51:00,120 --> 00:51:00,360
Speaker 4: Re MA.

1018
00:51:00,360 --> 00:51:04,960
Speaker 2: Mafia families have ties to some figures NBA players. You've

1019
00:51:04,920 --> 00:51:08,640
Speaker 2: got Chauncey Billups, a coach, you got players. It's incredible.

1020
00:51:08,680 --> 00:51:11,799
Speaker 2: It's like Tony soprano James Gandelfini has come back to

1021
00:51:11,840 --> 00:51:16,080
Speaker 2: life with Polly Walnuts and and the rest of the

1022
00:51:16,120 --> 00:51:20,040
Speaker 2: crew from the Sopranos, and like Jersey is representing today

1023
00:51:20,040 --> 00:51:22,759
Speaker 2: in the National Basketball Association, that's a huge developing store.

1024
00:51:22,800 --> 00:51:24,080
Speaker 2: We're gonna have more in that coming up on the

1025
00:51:24,080 --> 00:51:26,200
Speaker 2: show on seven hundred w WIT because I got feeling

1026
00:51:26,480 --> 00:51:29,000
Speaker 2: I gonna be wrong about this, but somebody's gonna get whacked.

1027
00:51:29,360 --> 00:51:33,520
Speaker 2: Somebody is gonna get whacked. And when whackings breakout, we

1028
00:51:33,600 --> 00:51:38,040
Speaker 2: break in here on seven hundred WW slowly and this morning.

1029
00:51:39,040 --> 00:51:40,560
Speaker 2: And this affects all of us too. By the way,

1030
00:51:40,560 --> 00:51:42,520
Speaker 2: I just tell you a story about the social media

1031
00:51:42,560 --> 00:51:45,320
Speaker 2: and how they fed all the clickbait and all this

1032
00:51:45,560 --> 00:51:48,360
Speaker 2: nonsense you read on social media into AI chatbots, and

1033
00:51:48,400 --> 00:51:52,040
Speaker 2: it actually made aichat Ai dummer and more angry, which

1034
00:51:52,080 --> 00:51:55,040
Speaker 2: is it's measurable, and that's computer imagement's doing us. And

1035
00:51:55,640 --> 00:51:57,400
Speaker 2: of all the things that keep you awakened, that may

1036
00:51:57,400 --> 00:52:00,160
Speaker 2: be one thing. Some sixty to seventy million Americans have

1037
00:52:00,200 --> 00:52:03,920
Speaker 2: chronic sleep deprivation. Twenty two of us have sleep apnea.

1038
00:52:03,960 --> 00:52:06,879
Speaker 2: Twenty two million people have sleep apnea. Insomnia effects about

1039
00:52:06,880 --> 00:52:08,400
Speaker 2: a third of the population. A third of adults in

1040
00:52:08,440 --> 00:52:10,960
Speaker 2: four and ten say they often feel or fall asleep

1041
00:52:11,000 --> 00:52:14,840
Speaker 2: at work. And if you're a truck driver, that's really concerning.

1042
00:52:15,120 --> 00:52:17,239
Speaker 2: Some jobs you probably can get away with. There are

1043
00:52:17,280 --> 00:52:19,799
Speaker 2: times where I've admittedly fall asleep during the show and

1044
00:52:19,800 --> 00:52:22,640
Speaker 2: no one noticed. But truck drivers that is bad. You're

1045
00:52:22,640 --> 00:52:27,160
Speaker 2: flying an airplane. Bad. You're probably in somebody's heart doing surgery. Bad.

1046
00:52:27,640 --> 00:52:32,319
Speaker 2: Talk show, not so much. Sonjay Shaiva Crimani's on the

1047
00:52:32,320 --> 00:52:35,000
Speaker 2: show this morning is in the air physician at doctor

1048
00:52:35,000 --> 00:52:38,080
Speaker 2: Sonja Sinsey with a y or. He intersects the worlds

1049
00:52:38,080 --> 00:52:41,000
Speaker 2: of food and health and fitness and jumps in the

1050
00:52:41,000 --> 00:52:42,800
Speaker 2: show this morning in studio this morning, how are you

1051
00:52:42,840 --> 00:52:45,279
Speaker 2: a coach? How you doing doing well? Thanks for having

1052
00:52:45,280 --> 00:52:48,040
Speaker 2: me doing good? Thanks for coming in this morning. Okay,

1053
00:52:48,040 --> 00:52:50,600
Speaker 2: so you're an your air physician in Cincinnati, but you're

1054
00:52:50,600 --> 00:52:54,000
Speaker 2: also you're in the fitness realm as well. You hear

1055
00:52:54,040 --> 00:52:55,440
Speaker 2: the story and you probably see it a lot of

1056
00:52:55,440 --> 00:52:57,520
Speaker 2: sleep apnea presents, and we know that you can get

1057
00:52:57,520 --> 00:52:59,960
Speaker 2: some very serious illness. You can die from sleep apnia.

1058
00:53:00,480 --> 00:53:03,040
Speaker 2: How much how many undiagnosed the twenty two million, how

1059
00:53:03,040 --> 00:53:04,719
Speaker 2: many of those you think are undiagnosed, like the bulk

1060
00:53:04,760 --> 00:53:05,120
Speaker 2: of them.

1061
00:53:05,280 --> 00:53:07,680
Speaker 6: I think it's probably the bulk. So I mean, to

1062
00:53:07,800 --> 00:53:10,800
Speaker 6: have the diagnosis, you kind of have to see a doctor,

1063
00:53:10,880 --> 00:53:13,440
Speaker 6: have the studies done right right. And some people, you know,

1064
00:53:13,520 --> 00:53:15,239
Speaker 6: are just getting slapped in the middle of the night

1065
00:53:15,320 --> 00:53:18,239
Speaker 6: by their partner in bed, being like you're snoring, when

1066
00:53:18,280 --> 00:53:21,480
Speaker 6: it's actually it's something more serious than that, specifically sleep apnan.

1067
00:53:21,480 --> 00:53:23,760
Speaker 2: Or you just go into another bedroom of the couch exactly.

1068
00:53:23,760 --> 00:53:24,319
Speaker 2: You can't stand it.

1069
00:53:24,400 --> 00:53:26,399
Speaker 6: That's a new thing. It's sleep divorce. Yeah, you've heard

1070
00:53:26,400 --> 00:53:28,520
Speaker 6: of this thing. Yeah, yeah, that's a big deal. Yeah,

1071
00:53:28,560 --> 00:53:30,200
Speaker 6: so people are starting to do that. But it's not

1072
00:53:30,239 --> 00:53:33,160
Speaker 6: like divorcing because of sleep. It's just sleeping in separate areas.

1073
00:53:33,200 --> 00:53:35,759
Speaker 6: But that might actually be your clue that maybe there's

1074
00:53:35,800 --> 00:53:38,279
Speaker 6: something else going on other than you just can't sleep

1075
00:53:38,360 --> 00:53:40,520
Speaker 6: well without the person or you can't stand your partner

1076
00:53:40,640 --> 00:53:41,560
Speaker 6: like it could be something worse.

1077
00:53:41,560 --> 00:53:43,359
Speaker 2: Well, let's get how much how much of these sleep

1078
00:53:43,400 --> 00:53:45,319
Speaker 2: problems that we have in America and affects most all

1079
00:53:45,360 --> 00:53:48,080
Speaker 2: of us. I mean, they say get between eight you know,

1080
00:53:48,120 --> 00:53:50,680
Speaker 2: eight hours of sleep? Is that an actual goal? Is

1081
00:53:50,680 --> 00:53:52,880
Speaker 2: that a hard fast number? Is it different for different people.

1082
00:53:52,880 --> 00:53:55,040
Speaker 2: So it's a pretty solid number. So seven to eight

1083
00:53:55,080 --> 00:53:57,880
Speaker 2: hours is what we're shooting for. Something less than seven

1084
00:53:58,000 --> 00:54:01,760
Speaker 2: does start adding up. In fact, your performance in general

1085
00:54:01,880 --> 00:54:04,600
Speaker 2: kind of decreases over time. So I actually went to

1086
00:54:04,640 --> 00:54:08,000
Speaker 2: this Ted talk several years ago and the guy said,

1087
00:54:08,040 --> 00:54:10,200
Speaker 2: you know, the first four hours of sleep is just

1088
00:54:10,239 --> 00:54:11,240
Speaker 2: to restore your body.

1089
00:54:11,400 --> 00:54:13,520
Speaker 6: That's all you're doing. You're repairing your body. But the

1090
00:54:13,560 --> 00:54:16,360
Speaker 6: next four hours is where your brain regenerates. So like

1091
00:54:16,400 --> 00:54:19,080
Speaker 6: all that emotional stuff that you need to face your day,

1092
00:54:19,680 --> 00:54:22,799
Speaker 6: you need to face the struggles of your day, the challenges, like,

1093
00:54:22,880 --> 00:54:24,640
Speaker 6: that's what you get in the next four hours, and

1094
00:54:24,680 --> 00:54:27,120
Speaker 6: you need those next four hours, all of it to

1095
00:54:27,760 --> 00:54:30,279
Speaker 6: be your best in those emotional situations. So yeah, we

1096
00:54:30,320 --> 00:54:32,920
Speaker 6: can survive, but we are not the best versions of

1097
00:54:32,960 --> 00:54:35,759
Speaker 6: ourselves while we're just surviving. If we're getting four to

1098
00:54:35,800 --> 00:54:38,120
Speaker 6: six hours of sleep, it's ours seven and eight where

1099
00:54:38,239 --> 00:54:40,200
Speaker 6: we really get like the maximum benefit.

1100
00:54:40,320 --> 00:54:42,040
Speaker 2: Can you make that up in the weekend when some

1101
00:54:42,080 --> 00:54:44,120
Speaker 2: people go working really hard and then I mean, you

1102
00:54:44,200 --> 00:54:46,319
Speaker 2: know you're an ear doc, so you were crazy. Do

1103
00:54:46,360 --> 00:54:49,120
Speaker 2: you sleep for like twelve hours? Is that? Can you?

1104
00:54:49,200 --> 00:54:51,680
Speaker 2: That would be a healthy right? Yeah? Excuse the pun.

1105
00:54:52,080 --> 00:54:54,239
Speaker 2: If you could do that like a college.

1106
00:54:54,440 --> 00:54:57,279
Speaker 6: So the whole idea of like banking sleep and getting it,

1107
00:54:57,480 --> 00:54:59,600
Speaker 6: there's there's a little bit of benefit there, but it's

1108
00:54:59,680 --> 00:55:01,440
Speaker 6: not as much as we think. It's the it's the

1109
00:55:01,560 --> 00:55:03,799
Speaker 6: daily kind of thing we need to get and this

1110
00:55:03,840 --> 00:55:05,920
Speaker 6: is one of those Yeah, you just nailed it. Like

1111
00:55:05,960 --> 00:55:09,120
Speaker 6: as an er doc, my my schedule is crazy. It's days,

1112
00:55:09,160 --> 00:55:11,680
Speaker 6: it's nights, it's weekends, it's all over the place. And

1113
00:55:11,719 --> 00:55:15,160
Speaker 6: so that's why I hold sleep such in such importance

1114
00:55:15,200 --> 00:55:17,920
Speaker 6: in my life because it's it's not good, but it

1115
00:55:18,000 --> 00:55:21,520
Speaker 6: is literally the foundation of my well being and everything else.

1116
00:55:21,600 --> 00:55:23,879
Speaker 6: It is the number one thing. And you can ask

1117
00:55:23,920 --> 00:55:27,759
Speaker 6: my fiance. I'm almost obsessive about my sleep, but I

1118
00:55:27,880 --> 00:55:30,640
Speaker 6: need to be because it's thrown off so often that

1119
00:55:30,680 --> 00:55:32,799
Speaker 6: I have to do whatever I can to maximize it

1120
00:55:32,840 --> 00:55:34,520
Speaker 6: so I can be my best in every.

1121
00:55:34,360 --> 00:55:35,879
Speaker 2: Realm in my life. And it's more like a shift

1122
00:55:35,920 --> 00:55:37,520
Speaker 2: work because you're you know, you're not, hey, I'm not

1123
00:55:37,680 --> 00:55:39,680
Speaker 2: nine to five er doc. No, it's where they need

1124
00:55:39,719 --> 00:55:42,160
Speaker 2: you in different times and for twelve hours of a time,

1125
00:55:42,239 --> 00:55:44,680
Speaker 2: right or maybe longer in some cases. But that's true

1126
00:55:44,719 --> 00:55:46,520
Speaker 2: for a lot of people who work second third shift,

1127
00:55:46,520 --> 00:55:48,080
Speaker 2: they wrotetate cops do that, right.

1128
00:55:48,000 --> 00:55:50,120
Speaker 6: Yeah, And and it affects you over time. A lot

1129
00:55:50,120 --> 00:55:52,680
Speaker 6: of people love working nights for for good reason. It's

1130
00:55:52,760 --> 00:55:56,400
Speaker 6: usually a cooler vibe, right, But turning around or sleeping

1131
00:55:56,440 --> 00:55:58,080
Speaker 6: during the day, it's just not what our bodies were

1132
00:55:58,120 --> 00:56:00,319
Speaker 6: built to do. And over time that where on us.

1133
00:56:00,320 --> 00:56:02,040
Speaker 6: I mean, there's studies out there that you know, if

1134
00:56:02,080 --> 00:56:04,319
Speaker 6: you're if you're a night shift worker, you literally die

1135
00:56:04,360 --> 00:56:07,000
Speaker 6: earlier than people who work dacious, right. And I've known

1136
00:56:07,040 --> 00:56:09,160
Speaker 6: this my entire career, and I'm just like, oh, I

1137
00:56:09,239 --> 00:56:11,520
Speaker 6: just accept it, and now I'm doing what i can

1138
00:56:11,640 --> 00:56:13,680
Speaker 6: to like die a little later, I guess.

1139
00:56:13,680 --> 00:56:15,960
Speaker 2: But it's yeah, well you know what I mean. Look,

1140
00:56:15,960 --> 00:56:17,200
Speaker 2: we're going to at a time a year now, son

1141
00:56:17,280 --> 00:56:19,080
Speaker 2: Jay where you don't see the sun, and if you

1142
00:56:19,120 --> 00:56:22,120
Speaker 2: work thirds, like I did that for a while, you

1143
00:56:22,200 --> 00:56:24,759
Speaker 2: literally you don't see the sun at all ever. Yeah,

1144
00:56:24,880 --> 00:56:26,440
Speaker 2: and we know that has a big, big effect on

1145
00:56:26,560 --> 00:56:27,800
Speaker 2: the sleep cycle or Katie.

1146
00:56:27,600 --> 00:56:30,520
Speaker 6: Rhythms exactly, so like when when you wake up. So

1147
00:56:30,560 --> 00:56:33,080
Speaker 6: the whole thing is people oftentimes say watch your blue

1148
00:56:33,120 --> 00:56:35,000
Speaker 6: light at night before you go to bed, and that's

1149
00:56:35,000 --> 00:56:37,040
Speaker 6: a that's a whole thing, or being exposed to light

1150
00:56:37,120 --> 00:56:39,160
Speaker 6: in the last couple hours before you go to bed,

1151
00:56:39,400 --> 00:56:42,680
Speaker 6: but they're actually finding Also the morning time daylight is

1152
00:56:42,719 --> 00:56:44,920
Speaker 6: really important, so like within an hour, getting ten to

1153
00:56:44,920 --> 00:56:47,520
Speaker 6: fifteen minutes of light exposure in that hour. But if

1154
00:56:47,560 --> 00:56:50,759
Speaker 6: it's dark outside, if you got one of the Cincinnati winters,

1155
00:56:51,040 --> 00:56:53,359
Speaker 6: you're not going to see this the sun necessarily if

1156
00:56:53,360 --> 00:56:56,600
Speaker 6: you're sleeping all day. And so it does affect the

1157
00:56:56,680 --> 00:56:59,319
Speaker 6: night shift workers over time, and it initially you may

1158
00:56:59,320 --> 00:57:01,480
Speaker 6: not feel it if you're young, but as we get older,

1159
00:57:01,480 --> 00:57:02,680
Speaker 6: it really starts adding up.

1160
00:57:02,760 --> 00:57:04,400
Speaker 2: What about one of those happy lights. I've got one

1161
00:57:04,400 --> 00:57:06,719
Speaker 2: of those, I don't know. In the winter, sometimes I'll

1162
00:57:06,719 --> 00:57:08,640
Speaker 2: plug it in at my desk or whatever and it

1163
00:57:08,680 --> 00:57:10,600
Speaker 2: throws out simulates the sun. Does that work? Does that

1164
00:57:10,600 --> 00:57:11,040
Speaker 2: do anything?

1165
00:57:11,080 --> 00:57:13,520
Speaker 6: It's something. It does a little something. It's not as

1166
00:57:13,560 --> 00:57:16,160
Speaker 6: great as being out in nature being exposed to the

1167
00:57:16,520 --> 00:57:18,240
Speaker 6: to the elements, but at the same time, you'd be

1168
00:57:18,240 --> 00:57:20,920
Speaker 6: exposing yourself to the elements. And so it's like fifteen

1169
00:57:20,960 --> 00:57:23,680
Speaker 6: degrees outside. Hell yeah, go right, go hit the light.

1170
00:57:24,040 --> 00:57:25,520
Speaker 2: Why do we do this? I mean you just hit

1171
00:57:25,600 --> 00:57:28,120
Speaker 2: on two things. You want that sunlight, that natural sunlight

1172
00:57:28,120 --> 00:57:30,200
Speaker 2: early in the morning. Why not make an alarm clock

1173
00:57:30,200 --> 00:57:31,440
Speaker 2: that has a light hooked up to it and it

1174
00:57:31,480 --> 00:57:33,840
Speaker 2: gradually comes on and lights up the room? What about that?

1175
00:57:34,080 --> 00:57:37,040
Speaker 6: It's got your billion dollar idea has already been invented

1176
00:57:37,280 --> 00:57:38,200
Speaker 6: over and over again.

1177
00:57:38,320 --> 00:57:42,440
Speaker 2: But I had something again, But no, it exists.

1178
00:57:42,480 --> 00:57:44,560
Speaker 6: I forget the brand names for it, but they definitely exist,

1179
00:57:44,640 --> 00:57:47,080
Speaker 6: and they slowly come on, slowly wake you up, and

1180
00:57:47,120 --> 00:57:50,560
Speaker 6: I'll tell you, the smallest shred of light will have

1181
00:57:50,720 --> 00:57:53,439
Speaker 6: me up and eyes open. So like, it's not great

1182
00:57:53,480 --> 00:57:55,200
Speaker 6: for me, but it works for some people.

1183
00:57:55,600 --> 00:57:57,560
Speaker 2: Sanjay Shave of Krimani's on the show. He's in our

1184
00:57:57,600 --> 00:58:02,400
Speaker 2: physician at Doctor Sanjay's and an expert in fitness and

1185
00:58:02,440 --> 00:58:04,480
Speaker 2: food and health and fit. We're talking about sleep this morning,

1186
00:58:05,000 --> 00:58:06,680
Speaker 2: which is a big deal. Most of us don't get

1187
00:58:06,680 --> 00:58:09,080
Speaker 2: the necessary seven to eight hours if you're getting sad.

1188
00:58:09,120 --> 00:58:11,400
Speaker 2: I'm like a seven guy myself, so I think I'm okay.

1189
00:58:11,400 --> 00:58:13,360
Speaker 2: But I noticed too, the older you get, you wake

1190
00:58:13,440 --> 00:58:14,560
Speaker 2: up in the middle of the night and you're up

1191
00:58:14,600 --> 00:58:16,080
Speaker 2: for like two or three hour it feels like you're

1192
00:58:16,120 --> 00:58:18,480
Speaker 2: up for hours, right, yeah, what is that? Why has

1193
00:58:18,520 --> 00:58:18,960
Speaker 2: that happened?

1194
00:58:19,120 --> 00:58:23,360
Speaker 6: So the brain starts getting I mean you're just getting old, Sloan,

1195
00:58:23,480 --> 00:58:25,800
Speaker 6: that's what it is. So your your brain starts.

1196
00:58:25,480 --> 00:58:27,640
Speaker 2: Telling me about it because I'm limping around the studio

1197
00:58:27,680 --> 00:58:29,800
Speaker 2: just getting off crutches. Yeah, no, kidd and thanks. You

1198
00:58:29,840 --> 00:58:32,360
Speaker 2: and me both are broken aples shop jel. It's fine.

1199
00:58:33,120 --> 00:58:36,120
Speaker 6: But overtime, so when we're young, our brain knows what

1200
00:58:36,160 --> 00:58:38,840
Speaker 6: to do, and over time our brain kind of forgets

1201
00:58:38,840 --> 00:58:40,760
Speaker 6: what to do and how to sync with the cycle

1202
00:58:40,880 --> 00:58:42,880
Speaker 6: of life. That's what That's what the current thought is.

1203
00:58:42,960 --> 00:58:45,640
Speaker 6: So as we get older, our brain's like, oh, it's

1204
00:58:45,760 --> 00:58:47,520
Speaker 6: the middle of the night, maybe I'm supposed to be

1205
00:58:47,600 --> 00:58:49,720
Speaker 6: awake right now, as opposed to our younger brain that

1206
00:58:49,920 --> 00:58:51,960
Speaker 6: is smarter. So yeah, we're just getting dark. It's dumb,

1207
00:58:52,040 --> 00:58:52,560
Speaker 6: and here we are.

1208
00:58:52,680 --> 00:58:54,560
Speaker 2: I thought it was something to it, like I'm so

1209
00:58:54,600 --> 00:58:56,520
Speaker 2: efficient at sleep. I only need four or five hours

1210
00:58:56,560 --> 00:58:58,360
Speaker 2: and I wake up and I awake for two or three.

1211
00:58:58,840 --> 00:59:01,800
Speaker 2: But I remember seeing something sign Jay years ago, a

1212
00:59:01,840 --> 00:59:05,200
Speaker 2: fascinating story about the history of sleep in how screwed

1213
00:59:05,280 --> 00:59:08,240
Speaker 2: up we got when electricity came on and you know,

1214
00:59:08,320 --> 00:59:09,960
Speaker 2: candlelight things like because it used to be hey, you

1215
00:59:10,000 --> 00:59:11,440
Speaker 2: and sun goes down the fire go to bed at

1216
00:59:11,480 --> 00:59:13,760
Speaker 2: five o'clock and then get up in the but people

1217
00:59:13,760 --> 00:59:17,040
Speaker 2: would sleep for four hours, get up, they'd make babies,

1218
00:59:17,120 --> 00:59:19,360
Speaker 2: they get the stuff ready to eat the next day,

1219
00:59:20,240 --> 00:59:22,760
Speaker 2: get some firewood going, and then they go to bed.

1220
00:59:22,800 --> 00:59:23,800
Speaker 2: They'd be up for a few hours and then go

1221
00:59:23,840 --> 00:59:27,800
Speaker 2: to bed for So because human history is a relatively

1222
00:59:27,840 --> 00:59:30,560
Speaker 2: small sliver of our existence, so modern history we're talking

1223
00:59:30,560 --> 00:59:33,720
Speaker 2: about here, we're like genetically wire to wake up in

1224
00:59:33,800 --> 00:59:37,520
Speaker 2: the middle of the night to some degree somewhat.

1225
00:59:37,560 --> 00:59:39,640
Speaker 6: I mean, we don't have a lot of evidence of

1226
00:59:39,680 --> 00:59:41,800
Speaker 6: all that stuff, but I'll tell you that. Like, what

1227
00:59:41,840 --> 00:59:45,120
Speaker 6: we've also found is different cultures need different amount of sleep.

1228
00:59:45,160 --> 00:59:48,120
Speaker 6: So like we say we need seven eight hours as humans,

1229
00:59:48,360 --> 00:59:50,160
Speaker 6: but it's actually kind of an American state. I don't

1230
00:59:50,160 --> 00:59:52,800
Speaker 6: know what other countries there are, but some countries actually

1231
00:59:52,840 --> 00:59:57,280
Speaker 6: require less sleep and you're okay, you're actually thriving at sex.

1232
00:59:57,960 --> 00:59:58,760
Speaker 2: So it's kind of weird.

1233
00:59:58,800 --> 01:00:00,760
Speaker 6: So maybe that was a different culture back then too,

1234
01:00:00,800 --> 01:00:03,080
Speaker 6: where you needed less sleep or needed to sleep in

1235
01:00:03,080 --> 01:00:05,200
Speaker 6: the middle of the day. But you know, like European

1236
01:00:05,240 --> 01:00:09,320
Speaker 6: culture with the siesta and everything that also works for them,

1237
01:00:09,560 --> 01:00:13,440
Speaker 6: and so it depends. But the kind of cumulative amount

1238
01:00:13,520 --> 01:00:16,040
Speaker 6: you need is seven or eight in today's world for

1239
01:00:16,080 --> 01:00:19,000
Speaker 6: the most part, now that we're all becoming semi one

1240
01:00:19,000 --> 01:00:21,240
Speaker 6: culture because we're all plugged into the same stuff.

1241
01:00:21,040 --> 01:00:22,960
Speaker 2: Right right, Okay, now that makes a lot of sense.

1242
01:00:24,040 --> 01:00:26,320
Speaker 2: So we're also told, hey, you know you need a

1243
01:00:26,320 --> 01:00:29,280
Speaker 2: ten thousand dollars mattress that cools and heats you unless

1244
01:00:29,280 --> 01:00:31,040
Speaker 2: you up and down all that stuff to get the

1245
01:00:31,040 --> 01:00:32,120
Speaker 2: best nice sleep in your life?

1246
01:00:32,240 --> 01:00:33,800
Speaker 6: Is that just marketing? Is are some truth in that?

1247
01:00:34,040 --> 01:00:36,840
Speaker 6: There's definitely truth to it. I think you know, you

1248
01:00:36,960 --> 01:00:40,520
Speaker 6: got mattresses, you got supplements, you got all the other

1249
01:00:40,600 --> 01:00:44,520
Speaker 6: things out there. Mattress is important. I mean I definitely

1250
01:00:44,560 --> 01:00:47,640
Speaker 6: invested in a good mattress and a good pillow. But

1251
01:00:47,640 --> 01:00:50,760
Speaker 6: there's other things you can do, and specifically, you know,

1252
01:00:50,880 --> 01:00:53,680
Speaker 6: temperature of your room, which a lot of people don't

1253
01:00:53,720 --> 01:00:56,800
Speaker 6: key in on. It's the light that we just talked about.

1254
01:00:56,880 --> 01:00:59,520
Speaker 6: And then it's consistency of sleep schedule, which coming from me,

1255
01:01:00,120 --> 01:01:01,880
Speaker 6: I mean, do as I say, not as I do

1256
01:01:01,920 --> 01:01:05,280
Speaker 6: on that one, because I literally can't. But the the

1257
01:01:05,360 --> 01:01:08,520
Speaker 6: mattress quality is important. I mean, if you're if you're

1258
01:01:08,800 --> 01:01:11,560
Speaker 6: sleeping on a bed of rocks and that's something new

1259
01:01:11,600 --> 01:01:13,640
Speaker 6: to you, it's not gonna it's not gonna turn out well.

1260
01:01:13,640 --> 01:01:16,520
Speaker 2: If you toss and turn son, Jay, is that indicating

1261
01:01:16,520 --> 01:01:18,480
Speaker 2: indicating you a bad night's sleep or is it just

1262
01:01:18,520 --> 01:01:20,240
Speaker 2: your toster return because I'm a toster turn.

1263
01:01:20,280 --> 01:01:22,280
Speaker 6: So are you a tosser and turner all night or

1264
01:01:22,320 --> 01:01:24,160
Speaker 6: is it a tosser and turner intermittently?

1265
01:01:24,240 --> 01:01:26,640
Speaker 2: I have no idea. I'm sleeping. Yeah, what I know.

1266
01:01:27,640 --> 01:01:31,520
Speaker 2: You're the doctor and tell me I asked a really

1267
01:01:31,560 --> 01:01:34,479
Speaker 2: good questions. Yeah, you definitely, you're flipping all over the place.

1268
01:01:34,640 --> 01:01:37,360
Speaker 6: So, so you know, our body goes through the cycles

1269
01:01:37,400 --> 01:01:39,280
Speaker 6: of sleep, and you know, we're light sleep, then we're

1270
01:01:39,320 --> 01:01:41,880
Speaker 6: deep sleep, and then there's the REM cycle where our

1271
01:01:42,400 --> 01:01:44,840
Speaker 6: brain goes a little wild. That's when our dreams happen.

1272
01:01:45,200 --> 01:01:47,720
Speaker 6: And as we go on further in the night, typically

1273
01:01:47,760 --> 01:01:50,280
Speaker 6: if we're if we're healthy, we'll have more and more

1274
01:01:50,280 --> 01:01:53,160
Speaker 6: REM cycles as the night goes on. And so it's

1275
01:01:53,160 --> 01:01:55,640
Speaker 6: not atypical for you to be tossing and turning, especially

1276
01:01:55,680 --> 01:01:57,880
Speaker 6: like between if you're sleeping from eleven to seven, from

1277
01:01:57,880 --> 01:01:59,560
Speaker 6: three to seven, you're probably going to be tossing more

1278
01:01:59,600 --> 01:02:01,880
Speaker 6: because you toss more with your dreams because your brain's

1279
01:02:01,920 --> 01:02:04,560
Speaker 6: a little restless. And doing all the rem things that

1280
01:02:04,560 --> 01:02:06,320
Speaker 6: it needs to do and having all the dreams.

1281
01:02:06,360 --> 01:02:07,680
Speaker 2: Yeah, it seems I wake up, it'll be like a

1282
01:02:07,720 --> 01:02:09,320
Speaker 2: solid four hours and you wake up and then you

1283
01:02:09,440 --> 01:02:10,880
Speaker 2: go to the bathroom or whatever. And that's the other

1284
01:02:10,920 --> 01:02:12,400
Speaker 2: thing too, is you get older, you tend to go

1285
01:02:12,440 --> 01:02:13,160
Speaker 2: to the bathroom more.

1286
01:02:13,320 --> 01:02:16,040
Speaker 6: Yeah, it's it's all you know, you and I, I

1287
01:02:16,040 --> 01:02:18,280
Speaker 6: mean for the whole my part where we're definitely the

1288
01:02:18,280 --> 01:02:21,320
Speaker 6: four hour wake up guys now and it doesn't matter

1289
01:02:21,360 --> 01:02:23,520
Speaker 6: what I do. And and now are their ankle bros.

1290
01:02:23,560 --> 01:02:25,680
Speaker 6: You know, with with those injuries. I have a little

1291
01:02:25,720 --> 01:02:27,520
Speaker 6: more swelling in my ankle now than I used to.

1292
01:02:27,880 --> 01:02:30,080
Speaker 6: And so that just that's what goes in the middle

1293
01:02:30,080 --> 01:02:30,479
Speaker 6: of the night.

1294
01:02:30,400 --> 01:02:32,080
Speaker 2: Wake up and go Should you just get up? If

1295
01:02:32,120 --> 01:02:34,040
Speaker 2: it's like, Okay, I'm wide awake, I feel good, Should

1296
01:02:34,040 --> 01:02:35,560
Speaker 2: I just go up and do something and then come

1297
01:02:35,600 --> 01:02:37,480
Speaker 2: back to bed later. So it's a great point you

1298
01:02:37,560 --> 01:02:37,880
Speaker 2: makes it on.

1299
01:02:38,080 --> 01:02:39,640
Speaker 6: So a lot of people are like, oh, I'm just

1300
01:02:39,640 --> 01:02:41,320
Speaker 6: gonna stay in bed, I'm gonna I'm gonna sleep, I'm

1301
01:02:41,320 --> 01:02:43,320
Speaker 6: gonna sleep, I'm gonna sleep, I'm gonna get back to sleep.

1302
01:02:43,680 --> 01:02:45,520
Speaker 6: But one of the best things you can do sometimes

1303
01:02:45,560 --> 01:02:48,680
Speaker 6: is get up and move around and change your environment

1304
01:02:48,800 --> 01:02:50,360
Speaker 6: just for a little bit and come back to bed.

1305
01:02:50,440 --> 01:02:53,439
Speaker 6: You don't want to necessarily like play a video game

1306
01:02:53,520 --> 01:02:56,200
Speaker 6: or look at a screen or maybe even even look

1307
01:02:56,200 --> 01:02:57,960
Speaker 6: at an eeater. You just kind of want to move

1308
01:02:58,000 --> 01:03:00,320
Speaker 6: your environment a little bit, don't eat, don't drink a thing,

1309
01:03:00,640 --> 01:03:02,600
Speaker 6: but just move a little bit, come back to bed

1310
01:03:02,640 --> 01:03:05,040
Speaker 6: and try again as opposed to just willing it to

1311
01:03:05,080 --> 01:03:08,200
Speaker 6: be just lying in bed, because when we force something

1312
01:03:08,280 --> 01:03:09,840
Speaker 6: like that, it just never turns out good.

1313
01:03:10,000 --> 01:03:13,480
Speaker 2: Yeah, Sonja Shava Karani is on his e our physician,

1314
01:03:13,680 --> 01:03:16,520
Speaker 2: and we're talking about health and fitness and well and sleep.

1315
01:03:16,560 --> 01:03:19,000
Speaker 2: It is a big thing. Especially we're going to have

1316
01:03:19,440 --> 01:03:21,720
Speaker 2: the time change here in a little bit. That always

1317
01:03:21,720 --> 01:03:22,560
Speaker 2: screws people up.

1318
01:03:22,800 --> 01:03:23,000
Speaker 4: Yep.

1319
01:03:23,480 --> 01:03:25,480
Speaker 2: You know, our gain, our lost whatever. But at the

1320
01:03:25,560 --> 01:03:27,200
Speaker 2: end of the day, your body still has to adjust

1321
01:03:27,200 --> 01:03:29,240
Speaker 2: to these whole things. And you may be getting up

1322
01:03:29,240 --> 01:03:30,840
Speaker 2: in the middle of the night and you're tossing and turning.

1323
01:03:30,840 --> 01:03:32,400
Speaker 2: What does that mean to I need a better mattress.

1324
01:03:32,440 --> 01:03:34,880
Speaker 2: Is the room comfortable? These things? And I'll come full

1325
01:03:34,920 --> 01:03:36,960
Speaker 2: circle on this because we were talking about how social

1326
01:03:37,000 --> 01:03:39,440
Speaker 2: media pollutes the brain, and they tested with AI and

1327
01:03:39,480 --> 01:03:42,120
Speaker 2: it it's making AI dumber. If they feeded a steady

1328
01:03:42,200 --> 01:03:45,240
Speaker 2: dyet a clickbait, what does that say about me and you?

1329
01:03:45,760 --> 01:03:47,680
Speaker 2: I think that's the other thing is do most people

1330
01:03:47,720 --> 01:03:50,080
Speaker 2: who is you know, we talked about sleep apnean, We've

1331
01:03:50,120 --> 01:03:52,040
Speaker 2: talked about other reasons why people don't get a good

1332
01:03:52,120 --> 01:03:54,360
Speaker 2: night's sleep, But how much of this is by you know,

1333
01:03:54,440 --> 01:03:57,840
Speaker 2: just life baggage? You know, we're consuming news, we're online

1334
01:03:57,880 --> 01:03:59,400
Speaker 2: and reading all this stuff, and then you wake up

1335
01:03:59,440 --> 01:04:01,120
Speaker 2: and you start thinking about it, and then you have

1336
01:04:01,200 --> 01:04:04,600
Speaker 2: this fear and you start getting this cycle, this mental cycle,

1337
01:04:04,800 --> 01:04:06,440
Speaker 2: and now all of a sudden, that's where the I

1338
01:04:06,480 --> 01:04:08,280
Speaker 2: would say, you know, nighttime, that's when the demons come

1339
01:04:08,320 --> 01:04:10,160
Speaker 2: out in your head when it's quiet and you start

1340
01:04:10,200 --> 01:04:12,880
Speaker 2: thinking fatalist things and horrible things. And how do you

1341
01:04:12,880 --> 01:04:14,960
Speaker 2: break that cycle? And how much does that contribute to

1342
01:04:14,960 --> 01:04:15,560
Speaker 2: what we're talking about?

1343
01:04:15,560 --> 01:04:18,480
Speaker 6: It is a great question because the two things that

1344
01:04:18,520 --> 01:04:20,640
Speaker 6: we're keying in on here is one the use of

1345
01:04:20,680 --> 01:04:23,240
Speaker 6: the phone in general. So you have blue light, you know,

1346
01:04:23,280 --> 01:04:25,880
Speaker 6: shooting into your eyeballs and it's waking up your brain

1347
01:04:26,400 --> 01:04:28,560
Speaker 6: while you're using it, and so we really want to

1348
01:04:28,840 --> 01:04:32,080
Speaker 6: turn that off literally at least one hour before bed

1349
01:04:32,680 --> 01:04:36,320
Speaker 6: with any like any device, tablets, phones, et cetera, to

1350
01:04:36,520 --> 01:04:38,400
Speaker 6: allow our brains to rest a little bit. And then

1351
01:04:38,400 --> 01:04:40,240
Speaker 6: you have the issue of well, the content of that

1352
01:04:40,520 --> 01:04:42,520
Speaker 6: and what it's doing to you and adding to your

1353
01:04:42,520 --> 01:04:45,560
Speaker 6: stress and anxiety, especially taking in world events, et cetera,

1354
01:04:45,640 --> 01:04:48,360
Speaker 6: but maybe even your own personal stuff. Right, your brain's

1355
01:04:48,400 --> 01:04:50,400
Speaker 6: just going and it is hard to calm down. And

1356
01:04:50,440 --> 01:04:52,240
Speaker 6: a lot of people say, you know, I got to

1357
01:04:52,320 --> 01:04:54,200
Speaker 6: read before I go to bed, or I got to

1358
01:04:54,200 --> 01:04:55,600
Speaker 6: get my news in before I go to bed, and

1359
01:04:55,640 --> 01:04:58,840
Speaker 6: it's actually working for me. You've probably conditioned your brain,

1360
01:04:59,040 --> 01:05:01,480
Speaker 6: like watching TV before bed, which a lot of people do.

1361
01:05:01,560 --> 01:05:04,080
Speaker 6: I'm my best friend falls asleep watching TV every night.

1362
01:05:04,720 --> 01:05:06,800
Speaker 6: You probably condition your brain to say, oh, that's the TV.

1363
01:05:06,880 --> 01:05:08,480
Speaker 6: I'm going to go to sleep now, okay, right, but

1364
01:05:08,560 --> 01:05:10,600
Speaker 6: you're not going to get good sleep, so your brain's

1365
01:05:10,640 --> 01:05:13,160
Speaker 6: going to be kind of still going with all of

1366
01:05:13,200 --> 01:05:16,320
Speaker 6: that stuff, still processing it, and then you know, you'll

1367
01:05:16,320 --> 01:05:18,080
Speaker 6: have one of those middle of the night wake ups,

1368
01:05:18,080 --> 01:05:20,760
Speaker 6: like you're talking about everything's quiet, and that's the time

1369
01:05:20,800 --> 01:05:23,280
Speaker 6: when your brain shows up and has a party, and

1370
01:05:23,320 --> 01:05:25,640
Speaker 6: so it's really hard to fall asleep when there's stuff.

1371
01:05:25,720 --> 01:05:27,880
Speaker 6: You know, when you're taking in stuff right before you

1372
01:05:27,880 --> 01:05:28,280
Speaker 6: go to bed.

1373
01:05:28,360 --> 01:05:30,360
Speaker 2: You should tell my wife this because she'll sit there

1374
01:05:30,360 --> 01:05:32,760
Speaker 2: and scroll TikTok for like an hour, yeah, and then

1375
01:05:32,840 --> 01:05:35,680
Speaker 2: go put it down, and she's sleeping in thirty seconds

1376
01:05:35,720 --> 01:05:37,040
Speaker 2: and sleeps with straight eight hours.

1377
01:05:37,240 --> 01:05:40,439
Speaker 6: I mean, there's superhumans among us. They're superhumans out there,

1378
01:05:40,520 --> 01:05:42,200
Speaker 6: and I am definitely not one of them.

1379
01:05:42,640 --> 01:05:44,720
Speaker 2: I can't, I can't. I get my iPad. But I'm

1380
01:05:44,760 --> 01:05:47,400
Speaker 2: reading a book, yeah, you know, and something that's like history,

1381
01:05:47,480 --> 01:05:49,920
Speaker 2: or I'm reading a book about George Remis from Cincinnati

1382
01:05:49,960 --> 01:05:52,040
Speaker 2: here of all things. And yeah, it takes you know,

1383
01:05:52,080 --> 01:05:53,800
Speaker 2: for me, I read like a half a chapter and

1384
01:05:53,840 --> 01:05:56,400
Speaker 2: fall asleep. So I try to find boring topics and

1385
01:05:56,720 --> 01:05:58,120
Speaker 2: things like that and not to get all worked up

1386
01:05:58,120 --> 01:05:58,800
Speaker 2: and just you know, falls.

1387
01:05:59,120 --> 01:06:01,280
Speaker 6: There's two ways of as far as content goes. So

1388
01:06:01,360 --> 01:06:04,800
Speaker 6: my fiance was reading this boring book and literally she

1389
01:06:04,880 --> 01:06:07,880
Speaker 6: read two lines every night and she out and it was,

1390
01:06:08,040 --> 01:06:12,560
Speaker 6: you know, it was this like really scientific book. And

1391
01:06:14,280 --> 01:06:17,240
Speaker 6: but I I prefer actually reading fiction on a on

1392
01:06:17,360 --> 01:06:19,439
Speaker 6: like a Kindle e reader, so you get a little

1393
01:06:19,520 --> 01:06:21,840
Speaker 6: less blue light coming out, but there's still some lights

1394
01:06:21,880 --> 01:06:24,200
Speaker 6: are out. And I read fiction because it just sends

1395
01:06:24,240 --> 01:06:25,680
Speaker 6: me into like fantasy.

1396
01:06:25,240 --> 01:06:28,280
Speaker 2: World and I'm in a dream zone. Now.

1397
01:06:28,440 --> 01:06:30,800
Speaker 6: Some people will say that e readers do admit, well,

1398
01:06:30,840 --> 01:06:33,480
Speaker 6: they do. They emit some light, so you're kind of

1399
01:06:33,560 --> 01:06:36,040
Speaker 6: affecting yourself a little bit. So, but you know what's

1400
01:06:36,080 --> 01:06:37,320
Speaker 6: the other way you're going to do it is have

1401
01:06:37,360 --> 01:06:39,360
Speaker 6: a light above your head right, and that's hitting them

1402
01:06:39,400 --> 01:06:41,080
Speaker 6: book and now it's hitting your eyebo.

1403
01:06:41,200 --> 01:06:43,080
Speaker 2: Like the dark background with the light white light right

1404
01:06:43,160 --> 01:06:44,960
Speaker 2: is exactly like that's that mode or whatever.

1405
01:06:45,080 --> 01:06:46,960
Speaker 6: You definitely want nightmode if you're using like one of

1406
01:06:46,960 --> 01:06:50,000
Speaker 6: those fancy tablets e readers as opposed to like the kindle.

1407
01:06:50,280 --> 01:06:51,800
Speaker 2: You know, where are you on melatonin?

1408
01:06:53,080 --> 01:06:56,720
Speaker 6: I So I think we're using too much melotone? So

1409
01:06:56,760 --> 01:07:00,280
Speaker 6: the effective dose is like this zero point three zero

1410
01:07:00,360 --> 01:07:04,040
Speaker 6: point five literally and people are dropping like twenty milligrams

1411
01:07:04,040 --> 01:07:06,480
Speaker 6: a night, and you know it's okay. There you get

1412
01:07:06,520 --> 01:07:09,640
Speaker 6: to a plateau point where it's just not as effective.

1413
01:07:09,720 --> 01:07:12,960
Speaker 6: So what melatonin does for us is it says it's nighttime,

1414
01:07:13,280 --> 01:07:15,240
Speaker 6: and that's all it does. It doesn't say I'm going

1415
01:07:15,320 --> 01:07:17,200
Speaker 6: to keep you asleep or anything like that. It just

1416
01:07:17,240 --> 01:07:20,160
Speaker 6: sets your clock and says it's nighttime. Great for like

1417
01:07:20,520 --> 01:07:23,320
Speaker 6: if you've been working nights or if your sleep's been

1418
01:07:23,360 --> 01:07:25,760
Speaker 6: off a little bit, just to use sparingly every now

1419
01:07:25,840 --> 01:07:29,040
Speaker 6: and then. Now I use melotone in kind of a

1420
01:07:29,120 --> 01:07:34,280
Speaker 6: combination with a couple other things a couple of times,

1421
01:07:34,320 --> 01:07:37,080
Speaker 6: maybe one or two times a week, but it's usually

1422
01:07:37,120 --> 01:07:39,320
Speaker 6: when I'm flipping or I haven't had a good sleep

1423
01:07:39,360 --> 01:07:41,200
Speaker 6: and my body's just thrown off for a wheit.

1424
01:07:41,280 --> 01:07:41,560
Speaker 4: It's fine.

1425
01:07:41,560 --> 01:07:43,680
Speaker 2: I'm more frequent than that. I probably should back it up,

1426
01:07:43,680 --> 01:07:45,160
Speaker 2: but I but again, I've noticed so I take like

1427
01:07:45,280 --> 01:07:47,560
Speaker 2: it's like a three milligram trouble that was too much

1428
01:07:47,560 --> 01:07:50,000
Speaker 2: for me. I would I like take a third of that? Yeah?

1429
01:07:50,080 --> 01:07:52,440
Speaker 2: And where'd you feel it was too much? What time

1430
01:07:52,480 --> 01:07:53,800
Speaker 2: of the day? Like I don't know, Like I didn't

1431
01:07:53,800 --> 01:07:56,760
Speaker 2: want to wake up, Like I don't feel rested, Like

1432
01:07:56,840 --> 01:07:58,400
Speaker 2: maybe it's too much of this stuff. Yeah.

1433
01:07:58,480 --> 01:08:01,960
Speaker 6: I so I've about a twelve hour period that I

1434
01:08:02,000 --> 01:08:04,800
Speaker 6: have to give myself where I'm going to be awake again. Yeah,

1435
01:08:04,840 --> 01:08:06,520
Speaker 6: because I'm going to be groggy as hell if I

1436
01:08:06,600 --> 01:08:08,680
Speaker 6: take something even one and a half milligrams, I'm going

1437
01:08:08,720 --> 01:08:10,200
Speaker 6: to be groggy afterwards. So you kind of want to

1438
01:08:10,200 --> 01:08:12,280
Speaker 6: take it a little bit earlier. Now the packaging will

1439
01:08:12,320 --> 01:08:15,000
Speaker 6: say twenty to thirty minutes before you sleep. I give

1440
01:08:15,000 --> 01:08:16,559
Speaker 6: myself a little more time if I'm only going to

1441
01:08:16,560 --> 01:08:17,439
Speaker 6: be sleeping eight hours.

1442
01:08:17,520 --> 01:08:19,320
Speaker 2: Yeah, yeah, now you really want to sleep? You know

1443
01:08:19,520 --> 01:08:22,280
Speaker 2: some some Nike will four or five of those talamol

1444
01:08:22,360 --> 01:08:25,080
Speaker 2: pms and a half a like a fifth of Jim Beaman.

1445
01:08:25,120 --> 01:08:28,120
Speaker 2: You're good. You sleep like not doctor baby, like a baby.

1446
01:08:28,160 --> 01:08:32,479
Speaker 2: That's just all right, doctor Sonjay. He's our physician health

1447
01:08:32,520 --> 01:08:35,599
Speaker 2: food fitness at doctor Sanjay Sinci with why two wis

1448
01:08:35,640 --> 01:08:37,920
Speaker 2: and there and thanks for coming in to this man,

1449
01:08:37,960 --> 01:08:40,200
Speaker 2: It's great to talk to you. I the I love

1450
01:08:40,200 --> 01:08:42,960
Speaker 2: the intersection of medicine and health and just common sense

1451
01:08:43,040 --> 01:08:45,200
Speaker 2: kind of stuff there. Yeah, I appreciate the timesloan.

1452
01:08:45,320 --> 01:08:47,680
Speaker 6: It's just it is all one to me, and it

1453
01:08:47,760 --> 01:08:50,200
Speaker 6: all kind of feeds into each other back and forth.

1454
01:08:50,280 --> 01:08:53,240
Speaker 6: You know, having a better life while you're awake will

1455
01:08:53,360 --> 01:08:56,799
Speaker 6: make you sleep better versus. Yeah, so it's all health.

1456
01:08:56,600 --> 01:08:57,960
Speaker 2: To me, all right. Goodness, So whether that's not the

1457
01:08:57,960 --> 01:09:00,360
Speaker 2: regular I think anyway, Doctor Sanjay, thanks again. We got

1458
01:09:00,360 --> 01:09:02,479
Speaker 2: to get to a news update. The NBA has apparently

1459
01:09:02,520 --> 01:09:06,000
Speaker 2: falling apart. We have the mobsters, my people, Lakos on Ostra,

1460
01:09:06,320 --> 01:09:09,360
Speaker 2: Tony Soprano, all those guys involved in the NBA. What

1461
01:09:09,840 --> 01:09:12,720
Speaker 2: details seconds away here seven hundred ww Cincinnati.

1462
01:09:12,760 --> 01:09:14,000
Speaker 1: You want to be an.

1463
01:09:13,800 --> 01:09:17,439
Speaker 2: Americano, I'm flowing in with you this morning got seven

1464
01:09:17,479 --> 01:09:20,080
Speaker 2: hundred WUWT. Somebody asked the question, I don't know who

1465
01:09:20,120 --> 01:09:24,120
Speaker 2: it was. Why has the price of hospital services gone

1466
01:09:24,160 --> 01:09:28,080
Speaker 2: up two hundred and twenty percent? I said two hundred

1467
01:09:28,120 --> 01:09:31,360
Speaker 2: and twenty percent since two thousand and that is roughly

1468
01:09:31,520 --> 01:09:35,040
Speaker 2: what four times faster than inflation. There's a group called

1469
01:09:35,080 --> 01:09:37,759
Speaker 2: Hospital Facts at Org. They launched an initiative to figure

1470
01:09:37,800 --> 01:09:40,360
Speaker 2: out why. And they think it's waste, its fraud, its

1471
01:09:40,400 --> 01:09:44,040
Speaker 2: abuse at at hospital. Jerry Rogers is here. Jerry's with

1472
01:09:44,160 --> 01:09:47,000
Speaker 2: a Real Clear Health, part of the Real Clear system. Jerry,

1473
01:09:47,000 --> 01:09:47,960
Speaker 2: welcome to the show. How are you.

1474
01:09:48,960 --> 01:09:51,160
Speaker 4: I I'm blessed, I'm good.

1475
01:09:51,320 --> 01:09:54,040
Speaker 7: You know, it's it's not just waste, fraud and abuse

1476
01:09:54,120 --> 01:09:58,560
Speaker 7: with the hospitals. It's it's bad policy, it's bad business,

1477
01:09:58,800 --> 01:10:04,639
Speaker 7: it's ban health. It's at science because hospitals aren't part

1478
01:10:04,720 --> 01:10:07,840
Speaker 7: of the discussion. In terms of the healthcare system. We

1479
01:10:07,920 --> 01:10:12,000
Speaker 7: hear much about big big band pharmo. We hear about

1480
01:10:12,360 --> 01:10:15,200
Speaker 7: the insurance companies and all the rest of it, but

1481
01:10:15,439 --> 01:10:20,719
Speaker 7: the hospital costs are breaking the budget. Americans spend well

1482
01:10:20,760 --> 01:10:24,400
Speaker 7: over a trillion dollars on hospital costs and the reasons

1483
01:10:24,479 --> 01:10:27,040
Speaker 7: besides the fact that no one ever discusses them in

1484
01:10:27,120 --> 01:10:30,679
Speaker 7: terms of Medicaid cuts, the healthcare systems, all the rest.

1485
01:10:31,000 --> 01:10:34,840
Speaker 7: But it's also because of hospital consolidation, because there's no

1486
01:10:34,960 --> 01:10:38,519
Speaker 7: transparency in pricing, the list of pricing when you go

1487
01:10:38,600 --> 01:10:42,120
Speaker 7: imagine going to the grocery store and nothing, no price

1488
01:10:42,240 --> 01:10:42,679
Speaker 7: is listed.

1489
01:10:43,920 --> 01:10:45,559
Speaker 4: This is what we have in our hospital system.

1490
01:10:45,560 --> 01:10:48,479
Speaker 7: And of course also you know, we have this it's

1491
01:10:48,479 --> 01:10:53,400
Speaker 7: called site neutral payment reform, which would fix the fact

1492
01:10:53,640 --> 01:10:56,000
Speaker 7: that if you go to a hospital for a Medicare.

1493
01:10:57,080 --> 01:10:58,960
Speaker 4: Procedure, get a shot.

1494
01:10:58,720 --> 01:11:01,800
Speaker 7: Whatever it might be, costs more in the hospital than

1495
01:11:01,840 --> 01:11:05,200
Speaker 7: it does the doctor's office because hospitals are fee for service,

1496
01:11:05,520 --> 01:11:10,640
Speaker 7: so it's in their best economic interest to uh just

1497
01:11:11,880 --> 01:11:16,040
Speaker 7: make the charges skyrocket for individual tests and therapies.

1498
01:11:16,240 --> 01:11:16,400
Speaker 4: Yeah.

1499
01:11:16,439 --> 01:11:18,160
Speaker 2: I think that's a good point because in the past

1500
01:11:18,160 --> 01:11:21,080
Speaker 2: I've talked about, you know, pharmaceutical companies which certainly deserve

1501
01:11:21,160 --> 01:11:23,000
Speaker 2: to get their investment back on R and D, and

1502
01:11:23,040 --> 01:11:26,320
Speaker 2: I have you know, I look at big pharma pharmaceutical companies, go,

1503
01:11:26,439 --> 01:11:29,400
Speaker 2: I get how the model is because they invest in

1504
01:11:29,400 --> 01:11:31,760
Speaker 2: a tremendous amount of stuff ahead of before they can

1505
01:11:31,760 --> 01:11:33,599
Speaker 2: start to take a profit off, and not not every

1506
01:11:33,640 --> 01:11:34,439
Speaker 2: drug is profitable.

1507
01:11:34,479 --> 01:11:38,880
Speaker 4: I understand that three billion dollars. It's three billion dollars.

1508
01:11:40,120 --> 01:11:45,160
Speaker 7: Everyone thinks about the blockbuster of blockbusters, blockbuster drugs. But

1509
01:11:45,200 --> 01:11:48,080
Speaker 7: the tact of the matter is is that most big

1510
01:11:48,120 --> 01:11:52,120
Speaker 7: medicines fail and so you know, and it's a it's

1511
01:11:52,160 --> 01:11:53,600
Speaker 7: a it's a fracture.

1512
01:11:53,160 --> 01:11:54,040
Speaker 4: Of the healthcare dollars.

1513
01:11:54,560 --> 01:11:59,960
Speaker 7: The major costs in our healthcare system are hospitals, not medicines. Fact,

1514
01:12:00,080 --> 01:12:01,959
Speaker 7: medicines keep us out of the hospital.

1515
01:12:03,080 --> 01:12:05,479
Speaker 2: Yeah, that makes sense. The pharmacy benefit manager's got an

1516
01:12:05,479 --> 01:12:08,280
Speaker 2: issue with them and insurance companies, but no one really

1517
01:12:08,439 --> 01:12:11,200
Speaker 2: talks about, as you mentioned though, the hospitals themselves. When

1518
01:12:11,200 --> 01:12:14,520
Speaker 2: you talk about hospital services, is that beyond or including

1519
01:12:14,840 --> 01:12:17,680
Speaker 2: the actual physical treatment you get from a practitioner.

1520
01:12:18,600 --> 01:12:21,479
Speaker 7: Well, here's the thing in terms of I mean, yes,

1521
01:12:21,680 --> 01:12:24,240
Speaker 7: so God forbid, you have to be in the hospital,

1522
01:12:24,600 --> 01:12:27,639
Speaker 7: and once you're there, they want to load you up

1523
01:12:27,760 --> 01:12:30,240
Speaker 7: with various tests, whether you need.

1524
01:12:30,080 --> 01:12:30,479
Speaker 4: Them or not.

1525
01:12:30,720 --> 01:12:35,719
Speaker 7: Now, listen, if there was a menu of prices. Hey, sir, ma'am,

1526
01:12:35,720 --> 01:12:39,240
Speaker 7: you're in the hospital, we might as well check for this. Okay,

1527
01:12:39,520 --> 01:12:42,439
Speaker 7: what does it cost? No one can answer that question,

1528
01:12:42,720 --> 01:12:46,040
Speaker 7: the technicians, the nurses, and there's practitions, the doctors, the

1529
01:12:46,080 --> 01:12:49,000
Speaker 7: folks coming in and out. Even the business the business

1530
01:12:49,040 --> 01:12:52,000
Speaker 7: associates of hospitals that you know, have you sign the paperwork,

1531
01:12:52,080 --> 01:12:54,840
Speaker 7: can't tell you what things cost. So I'm not saying

1532
01:12:54,880 --> 01:13:00,000
Speaker 7: that tests or therapies or items of the hospital does

1533
01:13:00,080 --> 01:13:02,880
Speaker 7: us for you while you're there are bad. No, but

1534
01:13:02,920 --> 01:13:06,759
Speaker 7: we don't know what they cost. And again, we could

1535
01:13:06,840 --> 01:13:10,640
Speaker 7: fix this. Yet Washington is very good at not fixing problems.

1536
01:13:10,800 --> 01:13:14,320
Speaker 7: They complain, they cry, they whine, but this is a

1537
01:13:14,360 --> 01:13:18,960
Speaker 7: pretty easy fix. And you know, again, demand and enforce

1538
01:13:19,240 --> 01:13:22,040
Speaker 7: price transparency. In other words, when I'm at the hospital,

1539
01:13:22,080 --> 01:13:27,080
Speaker 7: I know what things cost. Second is we should allow

1540
01:13:27,240 --> 01:13:31,920
Speaker 7: for a senior specifically, or any patient to go to

1541
01:13:31,960 --> 01:13:37,040
Speaker 7: their doctor's office for certain tests or interventions because it

1542
01:13:37,120 --> 01:13:39,360
Speaker 7: costs less. So this is why you see the hospital

1543
01:13:39,640 --> 01:13:44,840
Speaker 7: consolidation because they want to charge more. Medicare ironically will

1544
01:13:45,000 --> 01:13:48,680
Speaker 7: charge more or allow for a higher payment for a

1545
01:13:48,800 --> 01:13:51,280
Speaker 7: test done in the hospital. So our hospital is doing

1546
01:13:51,439 --> 01:13:54,480
Speaker 7: they're going around and they are buying up medical practices.

1547
01:13:54,760 --> 01:13:56,680
Speaker 4: So therefore, when you go to.

1548
01:13:56,640 --> 01:13:59,040
Speaker 7: Your doctor, you're really at the hospital and you're paying

1549
01:13:59,040 --> 01:13:59,800
Speaker 7: the hospital.

1550
01:14:00,040 --> 01:14:02,360
Speaker 2: As a network. So you see all these physicians groups

1551
01:14:02,360 --> 01:14:04,920
Speaker 2: that pop up and it's by ex hospital. Well, that's

1552
01:14:05,000 --> 01:14:07,479
Speaker 2: exactly why it's because it's more money for them and

1553
01:14:07,520 --> 01:14:09,640
Speaker 2: consolidation all that. I don't know if it leads to

1554
01:14:09,680 --> 01:14:12,120
Speaker 2: better health outcomes, but based on the metrics that we

1555
01:14:12,160 --> 01:14:14,800
Speaker 2: have now, Jerry Rodgers, the answer would be no, We're

1556
01:14:14,840 --> 01:14:18,080
Speaker 2: getting sicker despite spending more and more on healthcare costs

1557
01:14:18,360 --> 01:14:20,680
Speaker 2: in the United States of America and on that too.

1558
01:14:20,800 --> 01:14:22,639
Speaker 2: Could I just back up a second, Go all right,

1559
01:14:23,000 --> 01:14:25,120
Speaker 2: at first plus you go on, okay, to what two

1560
01:14:25,200 --> 01:14:27,720
Speaker 2: hundred and twenty percent cost increase is two thousand for

1561
01:14:27,760 --> 01:14:30,920
Speaker 2: healthcare or I guess hospital services anyway goes up two

1562
01:14:30,960 --> 01:14:33,000
Speaker 2: hundred twenty percent, four times faster than inflesh.

1563
01:14:33,080 --> 01:14:33,280
Speaker 4: Right?

1564
01:14:34,400 --> 01:14:36,719
Speaker 2: Could I blame that on COVID? And then the increased

1565
01:14:36,800 --> 01:14:39,400
Speaker 2: labor costs in the shrinking job market, so you've got

1566
01:14:39,439 --> 01:14:41,360
Speaker 2: to pay labor more to get people. And then of

1567
01:14:41,400 --> 01:14:45,320
Speaker 2: course baby boomers getting old or ancient in some cases.

1568
01:14:45,320 --> 01:14:47,120
Speaker 2: Doesn't that all add up to so why.

1569
01:14:47,760 --> 01:14:48,920
Speaker 4: Well, yes and no.

1570
01:14:49,160 --> 01:14:52,240
Speaker 7: Right, COVID put a strain on the system, but again

1571
01:14:52,720 --> 01:14:56,920
Speaker 7: because you made bad political choices in it. During COVID,

1572
01:14:57,280 --> 01:15:01,519
Speaker 7: we actually drove medical practices into bankruptcy during COVID, we

1573
01:15:01,640 --> 01:15:04,960
Speaker 7: closed them down. We did it more difficult for nurses

1574
01:15:05,040 --> 01:15:09,160
Speaker 7: and physicians and technicians to serve during COVID because we.

1575
01:15:09,120 --> 01:15:10,680
Speaker 4: Had vaccine mandates.

1576
01:15:11,160 --> 01:15:14,360
Speaker 7: During COVID, when we followed the science, things went well.

1577
01:15:14,560 --> 01:15:18,080
Speaker 7: When we followed the politics, everything went sideways. And so, yeah,

1578
01:15:18,120 --> 01:15:20,639
Speaker 7: you're right, there's after effects of COVID, but those were

1579
01:15:20,680 --> 01:15:23,519
Speaker 7: political choices, not not health choices.

1580
01:15:23,600 --> 01:15:25,840
Speaker 4: Number one. But remember this too.

1581
01:15:26,560 --> 01:15:29,720
Speaker 7: We have a shrinking position base because it's more it's

1582
01:15:29,840 --> 01:15:32,639
Speaker 7: impossible to become a doctor in this country, the costs,

1583
01:15:32,760 --> 01:15:38,439
Speaker 7: the liability, and also we're importing jobs for physicians and

1584
01:15:38,520 --> 01:15:40,800
Speaker 7: nurses when we should be looking for homegrown talent. We're

1585
01:15:40,800 --> 01:15:42,840
Speaker 7: not doing that. But here's here's the kicker.

1586
01:15:42,880 --> 01:15:43,080
Speaker 4: Though.

1587
01:15:44,720 --> 01:15:48,400
Speaker 7: It's not just we're we have too few doctors or nurses.

1588
01:15:48,600 --> 01:15:50,840
Speaker 7: The fact is that we have too many administrators, too

1589
01:15:50,880 --> 01:15:51,519
Speaker 7: many executives.

1590
01:15:51,560 --> 01:15:52,280
Speaker 4: I'll give you an example.

1591
01:15:52,320 --> 01:15:57,000
Speaker 7: The Cleveland Clinic pays a million and a nonprofit hospital,

1592
01:15:57,080 --> 01:16:01,720
Speaker 7: but Cleveland clinic pays a million dollars to twenty two executives.

1593
01:16:02,040 --> 01:16:06,720
Speaker 7: In the same system the Cleveland clinic, thirty individuals, executives

1594
01:16:07,280 --> 01:16:12,120
Speaker 7: administrators get five hundred thousand dollars a piece. These are

1595
01:16:12,320 --> 01:16:15,639
Speaker 7: huge salaries. This is not money going to your health,

1596
01:16:15,680 --> 01:16:18,360
Speaker 7: not money going to doctors. Are more nurses, money going

1597
01:16:18,400 --> 01:16:22,639
Speaker 7: to essentially pencil pushers. And that's part of the problem too.

1598
01:16:23,360 --> 01:16:26,240
Speaker 2: Jerry Rogers here from real clear health and cost of

1599
01:16:26,360 --> 01:16:28,559
Speaker 2: hospital services has gone U two hundred and twenty percent

1600
01:16:28,600 --> 01:16:31,519
Speaker 2: since two thousand, about four times Fastian inflation. And it's

1601
01:16:31,520 --> 01:16:34,160
Speaker 2: fair to look at that and go why when it's

1602
01:16:34,160 --> 01:16:37,320
Speaker 2: put in the context of well pharmaceutical companies gouging us

1603
01:16:37,320 --> 01:16:42,640
Speaker 2: with pharmacy benefit managers insurance costs. But the hospitals themselves

1604
01:16:43,080 --> 01:16:45,120
Speaker 2: are making some money here. Yet at the same time, though,

1605
01:16:45,120 --> 01:16:47,680
Speaker 2: and here's the paradox, we have so many rural and

1606
01:16:47,960 --> 01:16:50,280
Speaker 2: other hospitals closing right now. How do we explain that.

1607
01:16:51,320 --> 01:16:57,400
Speaker 7: Well, again, it's because of three forty B you mentioned PBM,

1608
01:16:57,520 --> 01:17:02,240
Speaker 7: So three forty B pricing is a mechanism for rural areas,

1609
01:17:02,320 --> 01:17:06,960
Speaker 7: rural hospitals, the very poor, the folks who need care.

1610
01:17:06,800 --> 01:17:10,960
Speaker 7: There's a there's a rebate or a discount that hospitals

1611
01:17:11,000 --> 01:17:14,080
Speaker 7: are given. But what's happening instead is because of consolidation,

1612
01:17:14,760 --> 01:17:18,400
Speaker 7: hospital systems are purchasing rural hospitals. They're getting the three

1613
01:17:18,560 --> 01:17:22,920
Speaker 7: forty B benefit, and they're not using it to service

1614
01:17:23,000 --> 01:17:23,639
Speaker 7: the poor.

1615
01:17:23,520 --> 01:17:24,600
Speaker 4: Or the rural community.

1616
01:17:25,120 --> 01:17:29,920
Speaker 7: Rather, they're using it to attract other consumers, not you know,

1617
01:17:30,280 --> 01:17:34,519
Speaker 7: they look at patients as consumers. And what's happening because

1618
01:17:34,680 --> 01:17:37,840
Speaker 7: the very poor communities aren't being served, the facilities aren't

1619
01:17:37,880 --> 01:17:42,520
Speaker 7: being served, the facilities closed. So and you mentioned PVMs,

1620
01:17:42,840 --> 01:17:47,880
Speaker 7: the pharmacy benefit benefit managers, So your listeners understand these

1621
01:17:47,880 --> 01:17:52,879
Speaker 7: are middlemen who are profits servants who literally take profits

1622
01:17:52,920 --> 01:17:56,600
Speaker 7: I'm sorry, who take rebase and discounts away from patients

1623
01:17:57,120 --> 01:18:00,000
Speaker 7: and they keep them in pocket them themselves. Again, maybe

1624
01:18:00,200 --> 01:18:02,559
Speaker 7: thirty years ago we needed the PBM system, I have

1625
01:18:02,640 --> 01:18:03,160
Speaker 7: no idea.

1626
01:18:03,360 --> 01:18:05,160
Speaker 4: We certainly don't need it today.

1627
01:18:05,400 --> 01:18:08,280
Speaker 7: But part of the reason why rural hospitals are closing

1628
01:18:08,560 --> 01:18:13,160
Speaker 7: and seeing a massive problems is because of these middle men,

1629
01:18:13,240 --> 01:18:17,160
Speaker 7: because of three forty B abusion of the three forty

1630
01:18:17,160 --> 01:18:21,200
Speaker 7: B program. And there's lots of reasons. And again these

1631
01:18:21,200 --> 01:18:25,080
Speaker 7: are all physical right now, before Congress. There are reforms

1632
01:18:25,200 --> 01:18:28,080
Speaker 7: for both three forty B and the PBM crisis. Let's

1633
01:18:28,080 --> 01:18:29,080
Speaker 7: see what Congress does.

1634
01:18:29,280 --> 01:18:32,759
Speaker 2: Yeah, I'm not old, b Yeah exactly. And we elect

1635
01:18:32,800 --> 01:18:34,720
Speaker 2: these clowns. Why why are we We're sending them there

1636
01:18:34,760 --> 01:18:36,800
Speaker 2: and they wind up doing this to us and then

1637
01:18:36,840 --> 01:18:39,560
Speaker 2: they scream like their hairs on fire. It seems like,

1638
01:18:39,600 --> 01:18:41,640
Speaker 2: you know, we got a real we did a new

1639
01:18:41,680 --> 01:18:45,280
Speaker 2: bunch of elected officials. It sounds like Jerry again.

1640
01:18:45,520 --> 01:18:49,160
Speaker 7: I know, throw throw, throw them out. But there are

1641
01:18:50,400 --> 01:18:52,840
Speaker 7: The problem again, is is that, well, we need to

1642
01:18:52,880 --> 01:18:55,719
Speaker 7: fix the whole system. No, I'm old enough to remember

1643
01:18:55,720 --> 01:18:58,320
Speaker 7: when Nuke Dindrich became Speaker of the House and he said, look,

1644
01:18:58,360 --> 01:19:00,479
Speaker 7: we're not going to reform everything all one.

1645
01:19:00,800 --> 01:19:02,439
Speaker 4: We have to get to hold over of bread. Let's

1646
01:19:02,439 --> 01:19:04,320
Speaker 4: get slice here, sliced there.

1647
01:19:04,520 --> 01:19:07,080
Speaker 7: And I think the same is true on healthcare costs,

1648
01:19:07,080 --> 01:19:09,240
Speaker 7: on hospital costs, and that is we can do, we

1649
01:19:09,280 --> 01:19:11,960
Speaker 7: can do. We can do slices of reform, for instance,

1650
01:19:12,760 --> 01:19:18,120
Speaker 7: price transparency. Have hospitals lift and be transparent about their prices.

1651
01:19:18,200 --> 01:19:20,400
Speaker 2: How thought we heard that? Didn't we didn't? Didn't they say, oh, yeah,

1652
01:19:20,400 --> 01:19:22,680
Speaker 2: we've got choice. Well, we enacted a law and a

1653
01:19:22,800 --> 01:19:24,120
Speaker 2: role that we don't enforce.

1654
01:19:25,200 --> 01:19:28,360
Speaker 7: Thank you very much. And imagine if we enforce the

1655
01:19:28,439 --> 01:19:29,439
Speaker 7: reforms already.

1656
01:19:29,760 --> 01:19:30,360
Speaker 4: But that's a.

1657
01:19:30,439 --> 01:19:35,200
Speaker 7: Choice, right, I mean, accountability, responsibility, These are choices, and

1658
01:19:35,280 --> 01:19:39,120
Speaker 7: perhaps the laws doesn't have the proper teeth, or there

1659
01:19:39,160 --> 01:19:42,679
Speaker 7: is enough conversation about it. Look how many people today

1660
01:19:42,720 --> 01:19:44,360
Speaker 7: waking up. There's so much going on in the world,

1661
01:19:44,680 --> 01:19:47,640
Speaker 7: you know this, right, the world's on fire, and so

1662
01:19:48,240 --> 01:19:50,280
Speaker 7: we don't care about hospital costs or you can healthcare

1663
01:19:50,280 --> 01:19:53,040
Speaker 7: costs until we live the doctor, and so it's not

1664
01:19:53,080 --> 01:19:55,280
Speaker 7: a sustained conversation. This is the problem with the twenty

1665
01:19:55,280 --> 01:19:58,160
Speaker 7: first seven news cycle. We're always going to the next bit, oh,

1666
01:19:58,360 --> 01:20:00,840
Speaker 7: to the next big news story, and the problems that

1667
01:20:00,920 --> 01:20:04,120
Speaker 7: impact us every single day we forget about until it

1668
01:20:04,120 --> 01:20:08,160
Speaker 7: becomes an urgent matter. So we need to focus on

1669
01:20:08,200 --> 01:20:11,360
Speaker 7: the importance, so the important never becomes the urgent. Once

1670
01:20:11,360 --> 01:20:13,320
Speaker 7: it's urgent, then it's like, oh my goodness, what do

1671
01:20:13,400 --> 01:20:14,960
Speaker 7: we do? And we quit and we and we just

1672
01:20:15,000 --> 01:20:16,880
Speaker 7: got talking about it, and we just we just you

1673
01:20:16,920 --> 01:20:19,599
Speaker 7: know what, I'll just pay the pay the bill. Well,

1674
01:20:19,680 --> 01:20:20,800
Speaker 7: it shouldn't have to be that way.

1675
01:20:21,240 --> 01:20:23,400
Speaker 2: Yeah, we can only remember three things at a time.

1676
01:20:23,439 --> 01:20:26,000
Speaker 2: Maybe two as we get older, and one if you're lucky.

1677
01:20:26,080 --> 01:20:30,479
Speaker 4: So in my cage that half a thing. I know

1678
01:20:30,560 --> 01:20:33,240
Speaker 4: that I joke with my kids, you know, what's the diet?

1679
01:20:33,280 --> 01:20:36,880
Speaker 4: What's the diet? Sandwich is the half of you know,

1680
01:20:36,920 --> 01:20:38,400
Speaker 4: I can remember half a thing.

1681
01:20:38,439 --> 01:20:40,200
Speaker 7: But you know what I do think we have to

1682
01:20:40,200 --> 01:20:43,479
Speaker 7: have a focused, sustained conversation here. And looks a lot

1683
01:20:43,479 --> 01:20:45,840
Speaker 7: of healthcare reforms happening on a state level, and so

1684
01:20:46,040 --> 01:20:49,720
Speaker 7: folks and your your listeners should be talking to their

1685
01:20:49,880 --> 01:20:53,720
Speaker 7: state legislators because you put pressure on them to have

1686
01:20:53,800 --> 01:20:57,960
Speaker 7: reforms in the states. Remember, uh, you know, federalism, states

1687
01:20:58,000 --> 01:21:01,519
Speaker 7: can do things that prove would be a model for

1688
01:21:01,720 --> 01:21:05,160
Speaker 7: what Washington count do. I would encourage your listeners to

1689
01:21:05,200 --> 01:21:08,160
Speaker 7: go out and contact your state legislators. Get involved, whether

1690
01:21:08,160 --> 01:21:11,360
Speaker 7: it's healthcare issues or or or if it's policing, or

1691
01:21:11,400 --> 01:21:14,160
Speaker 7: it's criminal justice or whatever it might be. Go and

1692
01:21:14,200 --> 01:21:17,280
Speaker 7: pressure your state legislators to do the right thing. Because

1693
01:21:17,240 --> 01:21:19,439
Speaker 7: I used to work for a state rep in New

1694
01:21:19,520 --> 01:21:22,400
Speaker 7: Jersey years ago, and I'm telling you, every single day

1695
01:21:23,320 --> 01:21:27,320
Speaker 7: dozens of constituents would drop in and we listened to them.

1696
01:21:27,360 --> 01:21:29,479
Speaker 7: We had to. They were they were, they were present

1697
01:21:29,920 --> 01:21:32,960
Speaker 7: and These were good conversations that moved my boss to

1698
01:21:33,040 --> 01:21:35,800
Speaker 7: do things in the state capitol so there we could

1699
01:21:35,840 --> 01:21:39,800
Speaker 7: get good outcomes. You know, people, an old friend of mine,

1700
01:21:39,960 --> 01:21:43,000
Speaker 7: my mentor at the Competive Enterprises, Tode Fred Smith, used

1701
01:21:43,040 --> 01:21:45,400
Speaker 7: to say that people in politics are stupid because they're smart.

1702
01:21:45,520 --> 01:21:48,320
Speaker 7: In other words, they're paying attention to They're paying attention

1703
01:21:48,400 --> 01:21:50,920
Speaker 7: to the to the things that matter most of them, Uh,

1704
01:21:50,960 --> 01:21:54,479
Speaker 7: their tuitions, their their kids, baseball practice, you know, putting

1705
01:21:54,479 --> 01:21:55,280
Speaker 7: dinner on the table.

1706
01:21:55,640 --> 01:21:55,720
Speaker 4: Uh.

1707
01:21:55,760 --> 01:21:58,080
Speaker 7: And they don't think about the larger political things until

1708
01:21:58,240 --> 01:22:00,960
Speaker 7: unfortunately it's too late. I would just get encouraged folks

1709
01:22:00,960 --> 01:22:03,200
Speaker 7: to pay attention to these political things. But it does

1710
01:22:03,320 --> 01:22:04,559
Speaker 7: matter to your personal life.

1711
01:22:04,400 --> 01:22:06,160
Speaker 2: It really does. And that's the thing. It's not the

1712
01:22:06,240 --> 01:22:08,240
Speaker 2: party politics. And I've got to be on one side

1713
01:22:08,320 --> 01:22:10,599
Speaker 2: or the other. And even if my guy or girl

1714
01:22:10,640 --> 01:22:12,720
Speaker 2: does something stupid, I can never call them out. No,

1715
01:22:12,800 --> 01:22:15,200
Speaker 2: we were supposed to do that. We've got to distrust

1716
01:22:15,200 --> 01:22:18,800
Speaker 2: government more, especially the at the more federal levels of that.

1717
01:22:18,840 --> 01:22:21,120
Speaker 2: And on that point too. You know you brought something earlier, Jerry,

1718
01:22:21,880 --> 01:22:25,439
Speaker 2: about hospitals or hospitalists anyway, or doctors and ordering all

1719
01:22:25,479 --> 01:22:27,400
Speaker 2: these tests and driving the constant. But that's also part

1720
01:22:27,400 --> 01:22:30,120
Speaker 2: of the problem, right, It's because you have hospital administrators,

1721
01:22:30,400 --> 01:22:33,160
Speaker 2: you have lawyers that they have that they're afraid of.

1722
01:22:33,439 --> 01:22:35,680
Speaker 2: You had the federal and state governments all looking over

1723
01:22:35,720 --> 01:22:37,800
Speaker 2: your shoulder before you even treat a patient, And so

1724
01:22:37,840 --> 01:22:39,600
Speaker 2: why wouldn't you order a whole bunch of tests it

1725
01:22:39,600 --> 01:22:42,080
Speaker 2: may or may not be needed, simply to cover your own.

1726
01:22:42,040 --> 01:22:44,040
Speaker 4: Ass, exactly right.

1727
01:22:44,360 --> 01:22:49,120
Speaker 7: And what makes that problem worse, if that's possible, is

1728
01:22:49,280 --> 01:22:54,680
Speaker 7: that insurance companies pay a fee for service. So there's

1729
01:22:54,760 --> 01:23:00,280
Speaker 7: there is a liability, legal, regulatory pressure to test test,

1730
01:23:00,640 --> 01:23:04,559
Speaker 7: but there's also a fantial incentive to test. Test test.

1731
01:23:04,640 --> 01:23:09,240
Speaker 7: But here's the thing. You know, you know, informed voters

1732
01:23:09,439 --> 01:23:13,360
Speaker 7: make good choices. Informed patients can make good choices. So

1733
01:23:13,640 --> 01:23:16,719
Speaker 7: you know, if I understood, you're giving me this pill,

1734
01:23:16,720 --> 01:23:17,360
Speaker 7: you're giving.

1735
01:23:17,160 --> 01:23:17,679
Speaker 4: Me this shot.

1736
01:23:17,720 --> 01:23:20,960
Speaker 7: You want to do an echo cardiogram even though I'm

1737
01:23:21,240 --> 01:23:24,479
Speaker 7: even though I'm here for my foot, explain to me the.

1738
01:23:24,400 --> 01:23:27,280
Speaker 4: Costs, because maybe if the cost is.

1739
01:23:28,000 --> 01:23:31,519
Speaker 7: Right, I might get the echo cardiogram because I won't

1740
01:23:31,520 --> 01:23:33,240
Speaker 7: be back at the hospital anytime soon.

1741
01:23:33,400 --> 01:23:35,000
Speaker 4: So there's a problem to figure it out.

1742
01:23:35,160 --> 01:23:39,760
Speaker 7: Well, you can't give the consumer, the patient uh, the

1743
01:23:39,800 --> 01:23:42,240
Speaker 7: menu with the private Again, imagine going to a restaurant

1744
01:23:42,800 --> 01:23:45,400
Speaker 7: and sitting down to eat dinner with your family and

1745
01:23:45,439 --> 01:23:47,240
Speaker 7: the waiter says, what do you want?

1746
01:23:47,400 --> 01:23:50,080
Speaker 4: But there's no prices to the to the menu items.

1747
01:23:50,360 --> 01:23:52,720
Speaker 4: I walk out of that restaurant.

1748
01:23:52,560 --> 01:23:56,639
Speaker 7: But with hospitals, unfortunately, because we're sick, we're almost captured.

1749
01:23:56,920 --> 01:24:00,479
Speaker 4: I was in a hot I had a help.

1750
01:24:00,000 --> 01:24:03,040
Speaker 2: Make your leg, Or you have cancer and aggressive, what

1751
01:24:03,280 --> 01:24:04,880
Speaker 2: do you do your shop around? You could take six

1752
01:24:04,920 --> 01:24:06,840
Speaker 2: months to get the best price going on price line

1753
01:24:06,920 --> 01:24:09,120
Speaker 2: or you know consumer reports. What are we doing here?

1754
01:24:09,120 --> 01:24:09,639
Speaker 5: But right?

1755
01:24:09,800 --> 01:24:13,760
Speaker 7: But that's again an excellent, excellent point. But the thing is,

1756
01:24:14,800 --> 01:24:19,360
Speaker 7: once hospitals UH are held accountable for prices and this

1757
01:24:19,560 --> 01:24:23,720
Speaker 7: price transparency, You're right, when I'm sick in the emergency room,

1758
01:24:23,800 --> 01:24:26,439
Speaker 7: I can't shop around. But if the but if the

1759
01:24:26,479 --> 01:24:29,920
Speaker 7: ethos is created that hospitals are posting, then when I

1760
01:24:30,080 --> 01:24:32,439
Speaker 7: when I do go in for something elective, when I

1761
01:24:32,479 --> 01:24:34,760
Speaker 7: do go, UH bring my have you know my kid

1762
01:24:35,000 --> 01:24:38,360
Speaker 7: needs stitches and there are three hospitals within driving distance,

1763
01:24:38,640 --> 01:24:43,280
Speaker 7: I can then make choices and that will UH discipline

1764
01:24:43,600 --> 01:24:47,920
Speaker 7: the entire system because competition will be introduced. Imagine price

1765
01:24:48,000 --> 01:24:49,200
Speaker 7: competition again.

1766
01:24:49,240 --> 01:24:49,880
Speaker 4: I get it.

1767
01:24:50,120 --> 01:24:53,559
Speaker 7: Emergency room, but even emergency room cost prices will come

1768
01:24:53,640 --> 01:24:56,480
Speaker 7: down if hospitals are forced to compete on prices.

1769
01:24:56,760 --> 01:25:00,519
Speaker 2: Makes sense. He's Jerry Rogers. Jerry h is with real

1770
01:25:00,600 --> 01:25:05,120
Speaker 2: clear health and talking about why hospital services, just hospital

1771
01:25:05,160 --> 01:25:07,200
Speaker 2: calls have gone up over two hundred and twenty percent

1772
01:25:07,600 --> 01:25:09,800
Speaker 2: in the last twenty twenty five years, four times faster

1773
01:25:09,840 --> 01:25:13,080
Speaker 2: than inflation. We talk about pharmacy benefit managers, big farm

1774
01:25:13,160 --> 01:25:14,920
Speaker 2: insurance companies, but we got a factor of this and

1775
01:25:14,960 --> 01:25:17,160
Speaker 2: as well. Jerry, all the best, Thanks for jumping in.

1776
01:25:17,200 --> 01:25:21,200
Speaker 2: Appreciate it all right, bye. Appreciate the info news on

1777
01:25:21,240 --> 01:25:23,360
Speaker 2: the way four or five minutes from now, and the

1778
01:25:23,520 --> 01:25:26,360
Speaker 2: very latest on what's going on with Chief Watch in

1779
01:25:26,400 --> 01:25:30,280
Speaker 2: the city of Cincinnati. Our partners at WCPO nine broke

1780
01:25:30,320 --> 01:25:33,800
Speaker 2: the story yesterday that aftaed Peerval this investigation into the

1781
01:25:33,920 --> 01:25:39,919
Speaker 2: chief and her suspension, her paid administrative leave anticipating her firing.

1782
01:25:40,720 --> 01:25:44,479
Speaker 2: The investigation is going to take months because, as you know,

1783
01:25:44,560 --> 01:25:49,160
Speaker 2: during investigations, you will always suspend someone and then you

1784
01:25:49,200 --> 01:25:52,960
Speaker 2: announced for doing the investigation. I don't know, I don't

1785
01:25:52,960 --> 01:25:55,200
Speaker 2: know what crime show. Maybe he's watching crime shows backwards

1786
01:25:55,240 --> 01:25:57,000
Speaker 2: Normally it's like, hey, we have all these things and

1787
01:25:57,120 --> 01:26:00,360
Speaker 2: we have information, and then we make the charge because

1788
01:26:00,360 --> 01:26:02,920
Speaker 2: we have all these details not not here. It can

1789
01:26:03,000 --> 01:26:05,920
Speaker 2: take months to like basically well after the election, then

1790
01:26:05,920 --> 01:26:08,840
Speaker 2: we'll sort all this stuff out. God almighty, every day

1791
01:26:09,000 --> 01:26:12,679
Speaker 2: something new. The Buffoonery Scott Sloan seven hundred penn station

1792
01:26:12,840 --> 01:26:13,719
Speaker 2: is turning up the heat.

1793
01:26:13,840 --> 01:26:17,200
Speaker 6: The Ghost Pepper Cheese, Steak, Premium Steak, Provolona and Fiery

1794
01:26:17,240 --> 01:26:19,559
Speaker 6: Ghost Pepper Cheese only here through November.

1795
01:26:19,680 --> 01:26:23,160
Speaker 5: Get it before take a look at your watch. It's

1796
01:26:23,320 --> 01:26:28,120
Speaker 5: Real Estate Time with Michelle Sloan, Remax time agent extraordinaire

1797
01:26:28,160 --> 01:26:33,280
Speaker 5: from Sloan sellshomes dot com. Now pay attention and take notes.

1798
01:26:33,479 --> 01:26:36,400
Speaker 5: There might be a pop quiz at the end on

1799
01:26:36,640 --> 01:26:38,280
Speaker 5: seven hundred WLW.

1800
01:26:38,520 --> 01:26:39,840
Speaker 2: No, I'll get a catch up with my wife on

1801
01:26:39,840 --> 01:26:41,639
Speaker 2: a Thursday Morrow. All the time. We talk all week.

1802
01:26:42,320 --> 01:26:49,120
Speaker 2: What's going on? Are you there? Oh my god, she's

1803
01:26:49,120 --> 01:26:51,000
Speaker 2: got Michelle Sloane come in.

1804
01:26:51,520 --> 01:26:53,080
Speaker 4: Hold on again.

1805
01:26:54,400 --> 01:26:56,760
Speaker 2: This is the problem that you bring your dog to work.

1806
01:26:56,760 --> 01:26:58,840
Speaker 2: How much work do you actually get done? That's the question.

1807
01:26:59,479 --> 01:27:00,400
Speaker 1: Hi, I'm back.

1808
01:27:00,479 --> 01:27:01,959
Speaker 2: Does it bring your dog to workday?

1809
01:27:02,400 --> 01:27:04,599
Speaker 8: It is bringing your dog to work day and there's

1810
01:27:04,640 --> 01:27:07,439
Speaker 8: a dog next door to the office. I just tried

1811
01:27:07,439 --> 01:27:10,599
Speaker 8: to open the door. He's still scratching. I'm just gonna

1812
01:27:10,600 --> 01:27:11,080
Speaker 8: have to let it.

1813
01:27:12,520 --> 01:27:14,439
Speaker 2: A good boy, that's it. So he's got there's a

1814
01:27:14,439 --> 01:27:16,320
Speaker 2: dog next door, and he's got to go get that dog.

1815
01:27:17,000 --> 01:27:19,040
Speaker 8: Well, he also wants to come in because I locked

1816
01:27:19,120 --> 01:27:23,160
Speaker 8: him out of the studio that I'm in in my office.

1817
01:27:23,640 --> 01:27:26,280
Speaker 8: And this is a new environment because we just made

1818
01:27:26,280 --> 01:27:28,519
Speaker 8: it a little bit of a change. There's so much

1819
01:27:28,680 --> 01:27:29,400
Speaker 8: change happening.

1820
01:27:29,640 --> 01:27:34,080
Speaker 2: Change, change, change, But that dog is not to be deterred. No,

1821
01:27:34,880 --> 01:27:36,439
Speaker 2: I'm trying to go. They have the bring your dog

1822
01:27:36,479 --> 01:27:38,439
Speaker 2: to work. How much work actually gets done?

1823
01:27:39,120 --> 01:27:40,680
Speaker 1: Actually, everybody.

1824
01:27:41,880 --> 01:27:42,479
Speaker 2: A lot of work.

1825
01:27:42,840 --> 01:27:43,639
Speaker 1: Well in bandit.

1826
01:27:44,000 --> 01:27:48,240
Speaker 8: If the garbage cans aren't put on desks, he's going

1827
01:27:48,280 --> 01:27:50,439
Speaker 8: to rummage through them to find it, to see if

1828
01:27:50,479 --> 01:27:52,160
Speaker 8: there's any crumb available.

1829
01:27:52,160 --> 01:27:53,799
Speaker 2: Got you, because he's a wee fat bastard.

1830
01:27:56,880 --> 01:28:01,240
Speaker 1: He's a good boy. Have we started? Are we on

1831
01:28:01,320 --> 01:28:01,679
Speaker 1: the air?

1832
01:28:02,960 --> 01:28:04,639
Speaker 2: Well, I'm just sitting here waiting for you to get

1833
01:28:04,680 --> 01:28:06,720
Speaker 2: your act together. You got dogs, you got I don't

1834
01:28:06,760 --> 01:28:11,360
Speaker 2: know what's going on over there, but this is live radio.

1835
01:28:11,439 --> 01:28:16,640
Speaker 2: So yeah, three two, Yeah. My wife Michelle Sloan in

1836
01:28:16,640 --> 01:28:19,680
Speaker 2: case you haven't notices here with with Bandit, who, by

1837
01:28:19,720 --> 01:28:24,000
Speaker 2: the way, is our our lovely dog. That is a distraction. Nonetheless,

1838
01:28:24,200 --> 01:28:27,240
Speaker 2: what are we talking about besides dogs dog dog problems?

1839
01:28:27,640 --> 01:28:29,840
Speaker 8: Well, we're talking about changes in the weather. You know,

1840
01:28:29,960 --> 01:28:33,720
Speaker 8: something happened last night when you were snoring? Yeah, do

1841
01:28:33,800 --> 01:28:38,240
Speaker 8: you know what it was? You were snoring louder? No, okay, no,

1842
01:28:38,479 --> 01:28:39,479
Speaker 8: the heat turns on.

1843
01:28:40,320 --> 01:28:42,720
Speaker 2: Oh you know what. I woke up, so yeah, we

1844
01:28:43,400 --> 01:28:46,040
Speaker 2: knew her house, so I woke up and I smelt

1845
01:28:46,080 --> 01:28:48,519
Speaker 2: something burning, Like immediately your radar goes off, like oh,

1846
01:28:48,840 --> 01:28:52,160
Speaker 2: and then my you know, my, my construction brain kicked

1847
01:28:52,200 --> 01:28:54,400
Speaker 2: and went. But the heat kicked on. It's the dust

1848
01:28:54,439 --> 01:28:59,920
Speaker 2: gets on the essentially the dust of collects in yeah yeah, yeah,

1849
01:29:00,040 --> 01:29:03,000
Speaker 2: the heat exchanger, and once it kicks on for the season,

1850
01:29:03,040 --> 01:29:05,160
Speaker 2: it burns off. So what you're smelling is basically just

1851
01:29:05,520 --> 01:29:08,679
Speaker 2: dead skin and dust mites and all that nasty stuff,

1852
01:29:08,680 --> 01:29:11,040
Speaker 2: and it burns up. So you're smelling that. But in

1853
01:29:11,040 --> 01:29:13,120
Speaker 2: the middle of the night when it kicks on, you're like, crap,

1854
01:29:13,160 --> 01:29:15,599
Speaker 2: what the I'm waiting for the smoke detectors to go off,

1855
01:29:15,640 --> 01:29:18,080
Speaker 2: and you know, I was on alert for a second

1856
01:29:18,120 --> 01:29:19,880
Speaker 2: and I realized, oh, yeah, it's kicking on because the

1857
01:29:20,280 --> 01:29:21,840
Speaker 2: cross warning, and I went back to sleep.

1858
01:29:22,240 --> 01:29:23,799
Speaker 1: Oh I know, I can't believe.

1859
01:29:24,080 --> 01:29:26,880
Speaker 8: So this was that was the first heat turned on

1860
01:29:27,000 --> 01:29:29,760
Speaker 8: because you had it on, you had the you had

1861
01:29:29,760 --> 01:29:32,760
Speaker 8: our thermostat set to both.

1862
01:29:32,760 --> 01:29:34,080
Speaker 1: Cool and heat.

1863
01:29:34,160 --> 01:29:35,920
Speaker 2: Yeah, it turned that on auto. This time of year,

1864
01:29:35,960 --> 01:29:38,240
Speaker 2: you never know in Cincinnati what you're going to get.

1865
01:29:38,200 --> 01:29:41,480
Speaker 8: Right, So that way, if it gets above a certain temperature,

1866
01:29:42,439 --> 01:29:44,360
Speaker 8: the air will come on. If it gets below a

1867
01:29:44,400 --> 01:29:47,800
Speaker 8: certain temperature, the heat will come on. So we don't

1868
01:29:47,880 --> 01:29:51,120
Speaker 8: know what it will be from hour to hour.

1869
01:29:52,320 --> 01:29:54,360
Speaker 1: We could have heat overnight.

1870
01:29:54,880 --> 01:29:56,679
Speaker 2: In the exactly I don't know. You don't know because

1871
01:29:56,680 --> 01:29:58,880
Speaker 2: it's Cincinnati. I will say this now this time of year,

1872
01:29:59,720 --> 01:30:01,240
Speaker 2: you don't have to do this, but I like to

1873
01:30:01,280 --> 01:30:06,280
Speaker 2: set the fan on on in the winter to kind

1874
01:30:06,280 --> 01:30:08,439
Speaker 2: of bounced out because you have some cold spots maybe

1875
01:30:08,439 --> 01:30:10,920
Speaker 2: and it'll you know, circulate the heat a little bit

1876
01:30:10,920 --> 01:30:11,840
Speaker 2: better throughout the whole house.

1877
01:30:13,080 --> 01:30:14,800
Speaker 1: Okay, so on you like that?

1878
01:30:15,040 --> 01:30:16,920
Speaker 2: On? Who doesn't like it?

1879
01:30:17,000 --> 01:30:17,040
Speaker 4: On?

1880
01:30:17,280 --> 01:30:19,320
Speaker 2: On and on? But you know, I mean you could

1881
01:30:19,320 --> 01:30:21,000
Speaker 2: set it on auto. I supposed to if you want.

1882
01:30:21,040 --> 01:30:23,120
Speaker 2: It depends on you know how old your windows are,

1883
01:30:23,160 --> 01:30:24,160
Speaker 2: how draft your walls are.

1884
01:30:24,200 --> 01:30:27,040
Speaker 8: I mean, there's a lot of considerations exactly, And now's

1885
01:30:27,040 --> 01:30:28,840
Speaker 8: also a good time if you want to get a

1886
01:30:28,840 --> 01:30:33,160
Speaker 8: new thermostat. Honestly, sometimes if the thermostat isn't working, We've

1887
01:30:33,160 --> 01:30:35,200
Speaker 8: noticed this with our rentals and that sort of thing.

1888
01:30:36,120 --> 01:30:39,880
Speaker 8: The whole system gets wonky if that thermostatus has gone bad.

1889
01:30:40,439 --> 01:30:43,720
Speaker 2: Yep, yeah, yeah. We got a thermostat that like it

1890
01:30:43,760 --> 01:30:45,679
Speaker 2: was like a carrier furnace or something, and they don't

1891
01:30:45,680 --> 01:30:48,080
Speaker 2: support it anymore. So I actually ordered a smart the

1892
01:30:48,080 --> 01:30:51,160
Speaker 2: thermostat to put in. And I'm in the process of,

1893
01:30:51,680 --> 01:30:53,559
Speaker 2: as you know, moving a new place, Like okay, well

1894
01:30:53,560 --> 01:30:55,479
Speaker 2: you got to change your locks and stuff, so I

1895
01:30:55,800 --> 01:30:57,639
Speaker 2: kind of did I want the smart route on our house,

1896
01:30:57,720 --> 01:31:00,640
Speaker 2: and having some integrated locks and things like that just

1897
01:31:00,640 --> 01:31:03,919
Speaker 2: make it easier because we tend to sometimes be forgetful

1898
01:31:04,000 --> 01:31:05,880
Speaker 2: about locking doors and such. And you can look at

1899
01:31:05,880 --> 01:31:07,599
Speaker 2: it going, oh yeah, the doors like garage doors down

1900
01:31:07,680 --> 01:31:08,280
Speaker 2: that kind of stuff.

1901
01:31:08,439 --> 01:31:09,559
Speaker 1: That's just an age thing.

1902
01:31:10,439 --> 01:31:14,679
Speaker 8: But programmable thermostats can also be very energy efficient, which

1903
01:31:14,720 --> 01:31:18,080
Speaker 8: I feel like is something that we all need because

1904
01:31:18,120 --> 01:31:21,439
Speaker 8: the cost of everything is through the roof. So there

1905
01:31:21,479 --> 01:31:25,520
Speaker 8: was another change that happened in our life. You actually

1906
01:31:25,920 --> 01:31:31,240
Speaker 8: have graduated from the scooter to a real shoe.

1907
01:31:31,840 --> 01:31:36,200
Speaker 2: I yeah, we saw my doctor, my pediatrist, doctor Samantha

1908
01:31:36,240 --> 01:31:38,679
Speaker 2: Baker at christ who's wonderful. Their staff is amazing.

1909
01:31:39,640 --> 01:31:42,400
Speaker 1: That a good sense of humor, too, up with your crap.

1910
01:31:43,680 --> 01:31:45,559
Speaker 2: So yeah, I did it in like less than six weeks,

1911
01:31:45,560 --> 01:31:48,679
Speaker 2: which I think is pretty good. Went from the surgery

1912
01:31:48,720 --> 01:31:51,599
Speaker 2: to being able to walk around limp around a little bit.

1913
01:31:51,680 --> 01:31:53,559
Speaker 2: It's weird because my caf is like a little sore,

1914
01:31:53,640 --> 01:31:55,840
Speaker 2: but man, not having crutches. I talked about crutches the

1915
01:31:55,880 --> 01:31:59,320
Speaker 2: other day, Michelle that with all the medical inventions we have,

1916
01:31:59,360 --> 01:32:01,000
Speaker 2: I mean, you could take a pig valve and put

1917
01:32:01,040 --> 01:32:03,120
Speaker 2: it in someone's heart, and we have all these ais

1918
01:32:03,200 --> 01:32:05,519
Speaker 2: running your body, and you've got this thing right, all

1919
01:32:05,560 --> 01:32:08,240
Speaker 2: this huge technology, the drugs, the pharmaceuticals, R and D.

1920
01:32:08,320 --> 01:32:11,000
Speaker 2: It's incredible, and yet we are still walking around with

1921
01:32:11,080 --> 01:32:12,960
Speaker 2: the device it was. I mean it goes back to

1922
01:32:13,000 --> 01:32:15,280
Speaker 2: before the Civil War, the crutches. That it is the

1923
01:32:15,280 --> 01:32:17,599
Speaker 2: worst invention ever. They tear up your forearms, your arm

1924
01:32:17,640 --> 01:32:20,719
Speaker 2: pitt or sore. You think we'd come up with anything better.

1925
01:32:22,240 --> 01:32:24,360
Speaker 2: That's my point is you think someone would be on

1926
01:32:24,400 --> 01:32:26,960
Speaker 2: top of that though, and there's isn't there a better crutch,

1927
01:32:27,000 --> 01:32:29,599
Speaker 2: a better way to design a crutch? I mean, okay,

1928
01:32:29,600 --> 01:32:31,280
Speaker 2: I have the knee scoot. You put your good knee

1929
01:32:31,320 --> 01:32:32,680
Speaker 2: on it or your bad knee on it, I guess,

1930
01:32:32,720 --> 01:32:35,000
Speaker 2: and rolled around. But that's kind of clunky. It's hard

1931
01:32:35,040 --> 01:32:36,760
Speaker 2: to get in another car. When I was dress started

1932
01:32:36,840 --> 01:32:39,760
Speaker 2: driving myself to work, I just take crutches because can't

1933
01:32:39,760 --> 01:32:43,360
Speaker 2: get it in and out. So, yeah, you think of something.

1934
01:32:43,320 --> 01:32:44,960
Speaker 2: I was like, there's there's gotta be something in the

1935
01:32:45,000 --> 01:32:47,720
Speaker 2: crutch realm that they're looking at, going we're going to

1936
01:32:47,760 --> 01:32:50,040
Speaker 2: come up with a new crutch, right, you know what?

1937
01:32:50,080 --> 01:32:52,400
Speaker 1: Maybe you should do that and then we can retire.

1938
01:32:54,560 --> 01:32:59,720
Speaker 8: Let's do a medical invention that has never been imagined

1939
01:32:59,760 --> 01:33:00,160
Speaker 8: to be for.

1940
01:33:03,320 --> 01:33:03,960
Speaker 1: I really would have.

1941
01:33:05,680 --> 01:33:08,080
Speaker 2: Yeah, I don't know what it would that would look like, Like,

1942
01:33:08,439 --> 01:33:10,000
Speaker 2: I'm not sure. There's got to be some way to

1943
01:33:10,000 --> 01:33:11,960
Speaker 2: do that. A robotic type of foot thing. I don't know.

1944
01:33:12,200 --> 01:33:12,559
Speaker 2: I don't know.

1945
01:33:12,600 --> 01:33:16,200
Speaker 8: I don't Outside of the reason why I talk about

1946
01:33:16,240 --> 01:33:19,479
Speaker 8: this change, so you're you're you're standing on two feet again,

1947
01:33:20,120 --> 01:33:22,280
Speaker 8: So that honeydew list baby is back.

1948
01:33:22,760 --> 01:33:24,320
Speaker 2: I know, wear ut my other foot.

1949
01:33:24,360 --> 01:33:28,080
Speaker 8: Now, no, we're not going to do that, but we

1950
01:33:28,280 --> 01:33:30,200
Speaker 8: you know, and it is that time of year when

1951
01:33:30,240 --> 01:33:32,880
Speaker 8: we get when it gets cold, we have to think about, okay,

1952
01:33:33,240 --> 01:33:37,600
Speaker 8: cold weather, getting our home prepped for the winter months.

1953
01:33:37,920 --> 01:33:39,920
Speaker 8: We don't want to hear about it, but we have to.

1954
01:33:40,240 --> 01:33:42,679
Speaker 8: You have to think about it. And now's the time.

1955
01:33:43,240 --> 01:33:45,720
Speaker 8: We talked a little bit about your HVAC system. Your

1956
01:33:45,840 --> 01:33:49,080
Speaker 8: HVAC the heating and cooling systems. So you're going to

1957
01:33:49,160 --> 01:33:52,160
Speaker 8: be there's really nothing to do right to turn off

1958
01:33:52,240 --> 01:33:55,719
Speaker 8: the AC or to winterize your AC unit.

1959
01:33:55,840 --> 01:33:59,360
Speaker 2: Is there No, Some people do put like I'll see

1960
01:33:59,360 --> 01:34:01,720
Speaker 2: people cover their outdoor unit. You don't want to do

1961
01:34:01,800 --> 01:34:06,000
Speaker 2: that because it traps chat traps moisture in there, which

1962
01:34:06,040 --> 01:34:09,120
Speaker 2: is bad for obviously you don't need to people. I've

1963
01:34:09,120 --> 01:34:10,920
Speaker 2: seen people do that before. So yeah, I got to

1964
01:34:10,920 --> 01:34:13,360
Speaker 2: put a tarp on top of my outdoor. You know

1965
01:34:13,360 --> 01:34:15,880
Speaker 2: the big fan, the big box that the condenser it's called.

1966
01:34:16,400 --> 01:34:18,360
Speaker 2: You want to leave that, leave that exposuing, like I said,

1967
01:34:18,360 --> 01:34:20,960
Speaker 2: you know in the winter. You know, you could set

1968
01:34:21,000 --> 01:34:22,519
Speaker 2: auto in the winter. A lot of people do that,

1969
01:34:22,600 --> 01:34:24,720
Speaker 2: but I said, leave it on. But I would have

1970
01:34:24,800 --> 01:34:26,519
Speaker 2: to qualify that by saying, if you have a whole

1971
01:34:26,520 --> 01:34:29,240
Speaker 2: house humidifier that works a little bit better. If you

1972
01:34:29,240 --> 01:34:31,040
Speaker 2: have immification system, you want to leave it on because

1973
01:34:31,040 --> 01:34:33,760
Speaker 2: you're humidifying the air, which is what you want, and

1974
01:34:33,760 --> 01:34:35,720
Speaker 2: it might reduce some cold spots and things like that.

1975
01:34:35,760 --> 01:34:37,559
Speaker 2: But typically most people just leave it to auto when

1976
01:34:37,560 --> 01:34:38,080
Speaker 2: they're fine.

1977
01:34:38,479 --> 01:34:41,000
Speaker 8: And the basic, basic, most basic thing that you can

1978
01:34:41,040 --> 01:34:43,679
Speaker 8: do is replace your furnace filter.

1979
01:34:43,840 --> 01:34:46,360
Speaker 2: Correct, you should be doing that. Checking that filter. You

1980
01:34:46,360 --> 01:34:48,200
Speaker 2: hold it up to like the light down in the basement,

1981
01:34:48,240 --> 01:34:50,080
Speaker 2: and if you can see through it it looks dirty.

1982
01:34:50,080 --> 01:34:52,120
Speaker 2: You're gonna replace it, that's all. If you can. If

1983
01:34:52,160 --> 01:34:54,160
Speaker 2: you can't see through it, you got real problems. You

1984
01:34:54,160 --> 01:34:56,080
Speaker 2: don't want that thing breaking down because it strains the

1985
01:34:56,120 --> 01:34:59,080
Speaker 2: motor and then in this expensive repair calum we're trying

1986
01:34:59,120 --> 01:35:00,559
Speaker 2: to save you money there, So don't do that.

1987
01:35:01,080 --> 01:35:02,360
Speaker 1: Absolutely, Okay.

1988
01:35:02,400 --> 01:35:04,280
Speaker 8: So the next thing I want to talk about, I

1989
01:35:04,320 --> 01:35:07,439
Speaker 8: want to go actually outside of your home because now

1990
01:35:07,439 --> 01:35:10,720
Speaker 8: we have the temperatures are nice enough during the day

1991
01:35:10,760 --> 01:35:13,759
Speaker 8: to do some outside work, so now's a perfect time

1992
01:35:14,400 --> 01:35:18,200
Speaker 8: to you know, clean up your yard and trim the

1993
01:35:18,280 --> 01:35:21,559
Speaker 8: trees and bushes around your house. You should never have

1994
01:35:21,720 --> 01:35:27,040
Speaker 8: vegetation touching your home, because it can lead to bugs

1995
01:35:27,080 --> 01:35:30,360
Speaker 8: coming in, animals coming in climb up the things. So

1996
01:35:30,680 --> 01:35:34,360
Speaker 8: you want at least a foot to two feet away

1997
01:35:34,479 --> 01:35:37,920
Speaker 8: from vegetation and your house. And so a lot of

1998
01:35:37,920 --> 01:35:40,679
Speaker 8: people they have their bushes and they're right up against

1999
01:35:40,680 --> 01:35:42,920
Speaker 8: the house. They're touching the house. They have trees with

2000
01:35:43,040 --> 01:35:47,400
Speaker 8: limbs that are overhanging onto your roof. When those big

2001
01:35:47,439 --> 01:35:50,639
Speaker 8: winds come like we had last week, we had some

2002
01:35:50,840 --> 01:35:54,880
Speaker 8: serious winds, and any of those branches that are a

2003
01:35:54,960 --> 01:35:58,200
Speaker 8: little bit brittle, they're going to fall on your roof.

2004
01:35:58,360 --> 01:36:01,439
Speaker 8: They could cause damage to your roof. So now is

2005
01:36:01,479 --> 01:36:03,800
Speaker 8: a perfect time if you have to hire somebody to

2006
01:36:03,880 --> 01:36:09,360
Speaker 8: help you make sure that the vegetation, any trees, shrubs, whatever,

2007
01:36:09,920 --> 01:36:13,120
Speaker 8: are at least I'm gonna say, at least two feet

2008
01:36:13,240 --> 01:36:16,200
Speaker 8: away from your home. The other thing is if you

2009
01:36:16,360 --> 01:36:20,480
Speaker 8: have that growing ivy that has gotten out of control

2010
01:36:20,920 --> 01:36:24,960
Speaker 8: and it is climbing up your the side of your house,

2011
01:36:25,920 --> 01:36:28,800
Speaker 8: and it is the one of the worst things. I've

2012
01:36:28,840 --> 01:36:33,120
Speaker 8: talked to people who are brick layers who if you're

2013
01:36:33,160 --> 01:36:36,000
Speaker 8: gonna if it's gonna be coming up siding, it's gonna

2014
01:36:36,000 --> 01:36:39,400
Speaker 8: go into and under the siding and into your walls

2015
01:36:39,439 --> 01:36:43,360
Speaker 8: and into your home. I've seen it crawl into gaps

2016
01:36:43,479 --> 01:36:47,559
Speaker 8: in people's windows, window wells.

2017
01:36:48,479 --> 01:36:50,719
Speaker 2: So I will destroy the brick.

2018
01:36:51,120 --> 01:36:51,719
Speaker 1: It will.

2019
01:36:51,880 --> 01:36:55,880
Speaker 8: It takes away the mortar, and it's it's bad.

2020
01:36:56,080 --> 01:36:56,760
Speaker 1: It's just bad.

2021
01:36:56,760 --> 01:36:59,320
Speaker 8: And when I see there's a couple of our new

2022
01:36:59,320 --> 01:37:03,360
Speaker 8: neighbors have ivy climbing up the front of their house actually,

2023
01:37:03,880 --> 01:37:06,280
Speaker 8: and some people think it looks really cool in old

2024
01:37:06,320 --> 01:37:10,679
Speaker 8: school and whatever. No, just say no to ivy. That's

2025
01:37:10,720 --> 01:37:13,759
Speaker 8: what that's my that's my tip for today. Well, eventually

2026
01:37:13,840 --> 01:37:15,599
Speaker 8: it's going to keep growing and grond. I wonder, does

2027
01:37:15,720 --> 01:37:17,360
Speaker 8: I've never seen it get to the point where gutters

2028
01:37:17,360 --> 01:37:20,320
Speaker 8: are I mean no, no, they've gone into attics before.

2029
01:37:20,400 --> 01:37:23,240
Speaker 8: I've seen actually, i've seen it crawl into attics. I've

2030
01:37:23,280 --> 01:37:26,679
Speaker 8: seen it actually crawl through walls, through cracks and walls

2031
01:37:27,200 --> 01:37:30,040
Speaker 8: and on some of the really older homes in Cincinnati,

2032
01:37:30,439 --> 01:37:33,800
Speaker 8: and I've seen it crawl through. And then it's then

2033
01:37:33,840 --> 01:37:38,320
Speaker 8: they leave these little suckers behind the little their little tentacles.

2034
01:37:38,400 --> 01:37:41,800
Speaker 1: And it's a mess. So now's a good time.

2035
01:37:42,320 --> 01:37:44,479
Speaker 8: You know, you're going to have to make sure that

2036
01:37:44,520 --> 01:37:46,240
Speaker 8: you're cutting it off at the base. But then you

2037
01:37:46,320 --> 01:37:49,080
Speaker 8: have to remove it. It may need some power washing.

2038
01:37:49,240 --> 01:37:52,880
Speaker 8: It's not an easy task to get rid of because

2039
01:37:52,880 --> 01:37:56,960
Speaker 8: it's pretty invasive. But it is so bad for your house.

2040
01:37:57,120 --> 01:38:00,280
Speaker 8: And so today's to my message today and I'm going

2041
01:38:00,320 --> 01:38:02,400
Speaker 8: to be talking about this on my podcast.

2042
01:38:02,920 --> 01:38:04,080
Speaker 1: Just say no to ivy.

2043
01:38:04,760 --> 01:38:07,240
Speaker 2: Yeah, people see like you know, old homes in the

2044
01:38:07,280 --> 01:38:10,439
Speaker 2: Northeast at Wrigley Field. But keep in mind, you know

2045
01:38:10,560 --> 01:38:13,479
Speaker 2: that that that ivy wall is it's by design. It

2046
01:38:13,479 --> 01:38:15,240
Speaker 2: takes a lot of people to maintain. They maintain that

2047
01:38:15,240 --> 01:38:17,280
Speaker 2: all the time. It's built for that house.

2048
01:38:17,479 --> 01:38:18,719
Speaker 1: Wall for the ivy.

2049
01:38:18,760 --> 01:38:21,640
Speaker 2: Ther house is venear brick, so it's a whole different yeah. Yeah,

2050
01:38:21,760 --> 01:38:23,840
Speaker 2: and the English, the Boston ivy is terrible for your

2051
01:38:23,880 --> 01:38:26,400
Speaker 2: house too. And the other thing too is it also

2052
01:38:26,520 --> 01:38:29,639
Speaker 2: will trap moisture against sighting, so you're looking at mold

2053
01:38:29,680 --> 01:38:32,960
Speaker 2: and rot and things like that as well termites. That's

2054
01:38:33,000 --> 01:38:35,439
Speaker 2: the whole air for disaster. You don't want to do it.

2055
01:38:36,040 --> 01:38:39,280
Speaker 8: No, Yes, So there you go if you if you

2056
01:38:39,320 --> 01:38:42,720
Speaker 8: want to tune in for me, just you have you

2057
01:38:42,800 --> 01:38:46,960
Speaker 8: have a hot against green bean castro all I have

2058
01:38:47,000 --> 01:38:50,920
Speaker 8: one against ivy. I hate I hate the climbing ivy.

2059
01:38:50,960 --> 01:38:52,400
Speaker 2: You can cut it down and kill it and let

2060
01:38:52,439 --> 01:38:54,559
Speaker 2: it die and then kind of you know, fall and

2061
01:38:54,840 --> 01:38:56,960
Speaker 2: but the but the like the stickers remain behind the

2062
01:38:57,160 --> 01:38:58,160
Speaker 2: little suckers.

2063
01:38:57,840 --> 01:39:00,479
Speaker 8: Will remain for quite a while. And that's why. And

2064
01:39:00,560 --> 01:39:01,960
Speaker 8: it looks bad too, I.

2065
01:39:01,960 --> 01:39:03,760
Speaker 2: Mean it just know some people, you know, you look

2066
01:39:03,760 --> 01:39:05,679
Speaker 2: at it, go with ivy wall, that's kind of stately

2067
01:39:05,720 --> 01:39:09,000
Speaker 2: and stuff. But it's it's a lot worse then. You know,

2068
01:39:09,080 --> 01:39:12,120
Speaker 2: the offset of the aesthetic is far worse.

2069
01:39:12,800 --> 01:39:14,920
Speaker 8: So if it's a garden wall, you know, if you

2070
01:39:15,000 --> 01:39:16,719
Speaker 8: have a moat around your.

2071
01:39:16,560 --> 01:39:19,479
Speaker 2: House, well, now, if you really want to do it,

2072
01:39:19,520 --> 01:39:21,600
Speaker 2: you can attach a trellis and stand it off the

2073
01:39:21,640 --> 01:39:22,320
Speaker 2: side of the house.

2074
01:39:22,840 --> 01:39:24,640
Speaker 8: But again, is it going to be at least a

2075
01:39:24,640 --> 01:39:27,800
Speaker 8: foot away from the house, because it's gonna climb, and

2076
01:39:27,840 --> 01:39:30,200
Speaker 8: it's gonna climb across your trellis and it's going to

2077
01:39:30,280 --> 01:39:34,040
Speaker 8: climb into your home and it's gonna no, just just

2078
01:39:34,080 --> 01:39:34,479
Speaker 8: say no.

2079
01:39:34,560 --> 01:39:36,280
Speaker 2: Well, and they're like, well, why did that even start

2080
01:39:36,320 --> 01:39:38,639
Speaker 2: in the first place. I didn't look at the history

2081
01:39:38,640 --> 01:39:40,360
Speaker 2: of it, but I would guess it's because back in

2082
01:39:40,400 --> 01:39:42,360
Speaker 2: the day people were also lazy.

2083
01:39:42,400 --> 01:39:47,760
Speaker 9: It's as well, absolutely well, if you put ivy in

2084
01:39:47,800 --> 01:39:51,719
Speaker 9: your in your landscaping beds and it looks cool because

2085
01:39:51,760 --> 01:39:53,200
Speaker 9: it's just it climbs.

2086
01:39:53,080 --> 01:39:57,519
Speaker 8: It grows, and it spreads and it's not too tall.

2087
01:39:57,640 --> 01:40:00,000
Speaker 2: You're also spending We spent five minutes talking about something

2088
01:40:00,080 --> 01:40:03,160
Speaker 2: that maybe seven people have. So that's about IV anymore.

2089
01:40:03,160 --> 01:40:03,920
Speaker 2: Do you see that much?

2090
01:40:04,520 --> 01:40:05,200
Speaker 1: I see it.

2091
01:40:05,479 --> 01:40:07,880
Speaker 2: I'm telling you, okay, in your dreams, you see it? Anyway?

2092
01:40:07,960 --> 01:40:10,120
Speaker 2: What else you got? Cold weather home maintenance? Get rid

2093
01:40:10,160 --> 01:40:12,519
Speaker 2: of it. By the way, let me remind you at

2094
01:40:12,560 --> 01:40:14,360
Speaker 2: some other point, because it's still I mean, it's still

2095
01:40:14,400 --> 01:40:17,360
Speaker 2: very early. Make sure you take off the faucets on

2096
01:40:17,360 --> 01:40:18,599
Speaker 2: the outside of your house. If you've got a hose

2097
01:40:18,640 --> 01:40:21,880
Speaker 2: attached to outdoor faucet, the hose bib, you got to

2098
01:40:21,920 --> 01:40:24,879
Speaker 2: take that off. Even if it's a frost free silcock.

2099
01:40:26,360 --> 01:40:28,040
Speaker 2: You got to unscrew that, take the hose off, and

2100
01:40:28,040 --> 01:40:29,960
Speaker 2: then take the hose and put it like in the garage,

2101
01:40:30,040 --> 01:40:31,639
Speaker 2: or make sure you drain it all the way too,

2102
01:40:31,680 --> 01:40:33,840
Speaker 2: because you know, you drag that in the garage or

2103
01:40:33,840 --> 01:40:35,439
Speaker 2: you put it wherever. It's still got water and it's

2104
01:40:35,439 --> 01:40:38,000
Speaker 2: all nasty. So let the hoses drain out and then

2105
01:40:38,080 --> 01:40:39,479
Speaker 2: you know, put it down the driveway for a minute.

2106
01:40:39,520 --> 01:40:41,200
Speaker 2: Let's let gravity do its job well.

2107
01:40:41,080 --> 01:40:43,360
Speaker 8: And if you wait until it's frozen, it's harder to

2108
01:40:43,400 --> 01:40:44,080
Speaker 8: get that off.

2109
01:40:44,120 --> 01:40:46,400
Speaker 2: You say you're not gonna Well, what happens is even

2110
01:40:46,400 --> 01:40:49,360
Speaker 2: though frost So what happens that the freezes inside the

2111
01:40:49,400 --> 01:40:53,800
Speaker 2: hose itself and then because cold water ice expands, it

2112
01:40:53,840 --> 01:40:56,760
Speaker 2: pushes itself back up the line into the house. And

2113
01:40:57,240 --> 01:41:00,639
Speaker 2: you don't want that it creates that that the freeze

2114
01:41:00,640 --> 01:41:02,679
Speaker 2: it could wind up breaking a pipe on the inside

2115
01:41:02,680 --> 01:41:04,280
Speaker 2: of the house. So you know, even if you have

2116
01:41:04,360 --> 01:41:06,320
Speaker 2: a frost free one of these things most houses do,

2117
01:41:06,479 --> 01:41:08,000
Speaker 2: and you may not if you have an older house.

2118
01:41:08,560 --> 01:41:09,760
Speaker 2: You just got to be aware of that and make

2119
01:41:09,800 --> 01:41:11,519
Speaker 2: sure you know, take the hostes off. It's the best

2120
01:41:11,520 --> 01:41:12,000
Speaker 2: thing you can.

2121
01:41:11,920 --> 01:41:14,559
Speaker 8: Do, right exactly. Okay, how much time we have left?

2122
01:41:14,560 --> 01:41:16,599
Speaker 8: Because I do have like three or four more things.

2123
01:41:16,720 --> 01:41:18,400
Speaker 2: You talked about ivy way too long. So this is

2124
01:41:18,400 --> 01:41:20,320
Speaker 2: on you again. It's poor planning in your part. It's

2125
01:41:20,320 --> 01:41:21,519
Speaker 2: like you, you, but.

2126
01:41:21,520 --> 01:41:22,920
Speaker 1: I think it's pretty interesting.

2127
01:41:22,960 --> 01:41:24,639
Speaker 2: We got to get to the airport, Michelle ohing cawn,

2128
01:41:24,640 --> 01:41:27,640
Speaker 2: but I'm out of gas stops.

2129
01:41:27,800 --> 01:41:29,400
Speaker 1: That isn't anything to do with the house.

2130
01:41:29,920 --> 01:41:31,680
Speaker 2: Poor planning in your part. You spent way too much

2131
01:41:31,680 --> 01:41:32,719
Speaker 2: time talking about IVY.

2132
01:41:33,680 --> 01:41:35,120
Speaker 1: It's fine, it's fine.

2133
01:41:35,240 --> 01:41:39,360
Speaker 2: Get you get your carbon monoxide right, get your smoke detective.

2134
01:41:40,280 --> 01:41:41,080
Speaker 1: Windows and doors.

2135
01:41:41,880 --> 01:41:43,759
Speaker 2: When you save the time, we should save the carbon

2136
01:41:43,800 --> 01:41:46,280
Speaker 2: monoxide the smoke detectives for next week, when or when

2137
01:41:46,280 --> 01:41:48,080
Speaker 2: the time change happens, like a week or two.

2138
01:41:49,160 --> 01:41:52,240
Speaker 1: Okay, all right, probably we're out of time.

2139
01:41:52,320 --> 01:41:55,080
Speaker 2: Yeah, because your dog. Your dog is probably crapping in

2140
01:41:55,080 --> 01:41:55,760
Speaker 2: the corner right now.

2141
01:41:55,840 --> 01:41:58,160
Speaker 1: Oh no, he scratched up the door at the office.

2142
01:41:58,920 --> 01:41:59,080
Speaker 2: Job.

2143
01:42:00,200 --> 01:42:02,120
Speaker 8: Here is something else you're gonna have to fix her.

2144
01:42:02,160 --> 01:42:04,240
Speaker 8: I'm just gonna have the rent here forever.

2145
01:42:04,320 --> 01:42:07,200
Speaker 2: Who fixes the stuff at your office? This guy? Great? Awesome?

2146
01:42:07,240 --> 01:42:08,200
Speaker 2: You can't control your doctor.

2147
01:42:08,240 --> 01:42:10,559
Speaker 1: All glad you're feeling better and you have two legs.

2148
01:42:10,560 --> 01:42:13,479
Speaker 2: Now now crawl you're asked to work. My wife, who

2149
01:42:13,520 --> 01:42:17,080
Speaker 2: I love dearly, is Michelle Sloansloan Salesholmes dot Com, Open

2150
01:42:17,120 --> 01:42:19,559
Speaker 2: the House Show and Remax Time in Mainville. You can

2151
01:42:19,600 --> 01:42:21,880
Speaker 2: catch the podcast for the iHeartRadio app and of course

2152
01:42:21,920 --> 01:42:24,000
Speaker 2: the show on the YouTube as well. There's fascinating guests

2153
01:42:24,040 --> 01:42:26,559
Speaker 2: and stuff too. She does hours and upon hours talking

2154
01:42:26,560 --> 01:42:29,000
Speaker 2: about IVY. All right, I gotta get going. I'll see

2155
01:42:29,000 --> 01:42:30,719
Speaker 2: you later. I love you. Gotta go, Gotta go because

2156
01:42:30,800 --> 01:42:33,120
Speaker 2: I've got Cunningham Show on the way right after news

2157
01:42:34,120 --> 01:42:35,760
Speaker 2: that's all coming up here on the Home of the

2158
01:42:35,760 --> 01:42:38,280
Speaker 2: best Bengals coverage. Got to the J. E. T. S Jets,

2159
01:42:38,360 --> 01:42:41,679
Speaker 2: Jets Jets on Sunday on seven hundred. W everbody Cincinnat