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Speaker 1: Do you want to be an American flunny back on

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Speaker 1: seven hundred WLW nine and ten Americans mind and ten

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Speaker 1: of us are concerned about memory loss and the decline

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Speaker 1: in brain function as we age.

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Speaker 2: The older we get, we see things at previous generations

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Speaker 2: that didn't live as long, they never had to deal

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Speaker 2: with these things we do. And in the two hundred

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Speaker 2: years five hundred years from God only knows what malady's

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Speaker 2: we're gonna face. But there's a concern over age related

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Speaker 2: memory loss because as we get older, certainly are our

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Speaker 2: minds change, and then there's disease. So what is normal

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Speaker 2: and what is not? What is normal brain agent? What

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Speaker 2: is some sort of neurodegenerative disease? And that's what we

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Speaker 2: worry about. This is what keeps us up at night.

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Speaker 2: Doctor Mada fi Messetti is the vice chair of the

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Speaker 2: McKnight Brain Research Foundation studies these things.

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Speaker 3: Doctor.

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Speaker 4: Good morning, Good morning, Scott, it's great to be on

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Speaker 4: the show.

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Speaker 3: Thank you so much.

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Speaker 2: I think, first of all, the idea our brains are

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Speaker 2: just limitless pots of things that take in a limitless sponges.

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Speaker 2: I guess we get just absorb all as information all

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Speaker 2: the time coming at us. And we got all this junk.

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Speaker 2: Like I think, like, for example, you know some sort

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Speaker 2: of temporary password that's that that that's in our head

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Speaker 2: short term, or try to remember a phone number when

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Speaker 2: it's all on our phone to begin with, and you

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Speaker 2: can go, I can't remember that. It's because we're not

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Speaker 2: really designed to carry that much information, right, I mean,

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Speaker 2: that's my understanding the human mind is it's kind of

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Speaker 2: like a temporary thing on the stuff we use the most,

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Speaker 2: that gets pushed to the forefront, but generally we get

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Speaker 2: all this information that's disposable.

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Speaker 4: I think, I think you're partly right. I think it's

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Speaker 4: important to understand here that the brain, like any other

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Speaker 4: part of the body, is also aging. You know, from

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Speaker 4: the time that we are born and what you've described

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Speaker 4: some of the typical symptoms of an aging brain, And

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Speaker 4: just like any other part of the body, we age differently,

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Speaker 4: we age in distinct ways, but we all understand that

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Speaker 4: as we grow older there are certain changes in our

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Speaker 4: mental abilities in.

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Speaker 5: Certain cognitive.

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Speaker 4: Certain skills, and certain abilities improve as we grow older,

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Speaker 4: such as wisdom and vocabulary and judgment. Certain other faculties decline.

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Speaker 4: Some of the examples that you've mentioned are exactly that.

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Speaker 4: We find it more difficult to learn and remember new information,

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Speaker 4: We find it more difficult to pay attention to multiple tasks.

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Speaker 4: At the same time, there might be more problems in

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Speaker 4: the speed at which we make decisions. So the important

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Speaker 4: thing to understand here is that these changes are to

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Speaker 4: be expected as a part of what we call normal

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Speaker 4: cognitive aging. They are not to be feared. They're not

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Speaker 4: in and of themselves signs of a disease. And so

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Speaker 4: what the MECH Brain Research Foundation is focused on is

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Speaker 4: to try and help people understand what changes to expect

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Speaker 4: as they grow older, as well as to provide them

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Speaker 4: with all the resources they need to try and put

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Speaker 4: in place lifestyle changes, put in place behaviors that can

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Speaker 4: ensure that they protect their brains in health as they

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Speaker 4: grow older.

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Speaker 2: Yeah, and unfortunately, as we go older, we see diseases

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Speaker 2: that we never saw before, or maybe they did, and

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Speaker 2: they just it's more widespread.

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Speaker 3: It's not like an epidemic.

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Speaker 2: It's just when you live till you're eighty ninety plus,

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Speaker 2: you're going to see things, especially age related that appear physically.

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Speaker 2: But also between those years of yours, you know, I

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Speaker 2: think of our good friend or dear friend Jim Scott

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Speaker 2: who has als, and I think of people who are

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Speaker 2: older and dementia and all of these horrible illnesses that

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Speaker 2: they have that we were let and see a couple generations.

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Speaker 3: Go as much.

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Speaker 6: That's true.

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Speaker 4: Neurodegenerative diseases are a completely different topic altogether, because those

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Speaker 4: are diseases. Those are conditions that arise predominantly from a degenerative,

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Speaker 4: usually progressive condition of the brain. Alis is one of

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Speaker 4: the classic examples of a neurodegenerative disease. But I think

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Speaker 4: what is important here to understand is that those neurodigenitive

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Speaker 4: diseases have captured a lot of our attention. They get

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Speaker 4: most of the research funding. This is what patients are

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Speaker 4: concerned about when they visit their physicians. But what has

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Speaker 4: remained a little less, what has received a little less attention,

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Speaker 4: is what changes to expect your normal aging. You know,

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Speaker 4: that is something that all of us would experience, unlike

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Speaker 4: you know, the minority of us who may experience a

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Speaker 4: neurodegenerative disease. So I think we haven't focused enough attention

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Speaker 4: yet on a full understanding of what normal cognitive aging is.

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Speaker 4: And so I think this is a great opportunity through

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Speaker 4: the Magnet Brain re Search Foundation to bring that awareness

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Speaker 4: to large numbers of people.

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Speaker 2: Makes sense, And I'm going to get into some of

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Speaker 2: these points you're making right now, Doctor, I'm out of

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Speaker 2: Tambasetti is if I share the McKnight Brain Research Foundation.

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Speaker 2: I'm talking about the difference between normal brain aging and

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Speaker 2: what is a neurodegenerat disease. Because you know, if you forget,

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Speaker 2: I don't know what exit you're getting off. Go crap,

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Speaker 2: I was supposed to get off there. It doesn't mean

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Speaker 2: that you have Alzheimer's. It just you may be getting

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Speaker 2: older and your brain is so packed with other information

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Speaker 2: something has to go. This shoe box is only so

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Speaker 2: full that that is your brain. I could also talk

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Speaker 2: about politics here too, where we have people who have

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Speaker 2: are making big, big decisions to the highest levels of

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Speaker 2: our government who are so older, incompetent. I'll just leave

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Speaker 2: that as an open ended question.

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Speaker 4: So I think you know, the larger point that is

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Speaker 4: to be made here in this context is that it's

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Speaker 4: both I think a little unprofessional as well as you know,

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Speaker 4: unethical to try and make diagnoses on people that the

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Speaker 4: position hasn't personally seen interviewed or examined. But I think

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Speaker 4: what this gives us a great opportunity to talk about

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Speaker 4: is what changes to expect as people grow older in

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Speaker 4: terms of their abilities. Whether it's candidate is running for presidents,

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Speaker 4: whether it's a radio radio host, whether it is a

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Speaker 4: position like myself, We're all going to experience changes as

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Speaker 4: we grow older. So I think this is a fantastic

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Speaker 4: opportunity for us while this topic is in the public domain,

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Speaker 4: while people are talking about these candidates, where people are

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Speaker 4: talking about what it means to lose some abilities as

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Speaker 4: you grow older, I think it's a great opportunity for

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Speaker 4: us to step back and try and see how much

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Speaker 4: we know about normal age related memory changes and what

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Speaker 4: we can do to day to try and preserve brain

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Speaker 4: health as we all age.

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Speaker 2: Yes, And I think that's an important facet here too.

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Speaker 2: You're really saying that, you know, when you're in your eighties,

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Speaker 2: in your here, maybe in your thirties, forties or fifties,

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Speaker 2: you look at it, Wow, is that what I have

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Speaker 2: to look forward to?

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Speaker 3: Or is that an outlier?

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Speaker 2: With both of those gentlemen, you know, and I think

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Speaker 2: like when as much speaking as they do, also sometimes

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Speaker 2: you can only remember the first letter of something. You

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Speaker 2: can flight you confuse names. You know, I'm trying to

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Speaker 2: think of Frank and I keep saying Fred or whatever

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Speaker 2: it might be.

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Speaker 3: Is that pretty.

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Speaker 2: Common as you get older and you you just have

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Speaker 2: that whole and you know, the whole tip of the

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Speaker 2: tongue phenomenon for example, where you you know the information

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Speaker 2: is there, you just can't pull it out.

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Speaker 4: That's a great point. I think what you've described is

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Speaker 4: what we would call, you know, benign age related cognitive changes.

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Speaker 4: Occasionally forgetting a name, struggling to find the right word

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Speaker 4: at times, maybe even occasionally forgetting a bill payment. I

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Speaker 4: think all of these changes would come under the term

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Speaker 4: of normal age related memory decline. It's when these changes

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Speaker 4: become much more severe, they become much more frequent, and

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Speaker 4: they clearly started affecting an individual's independence and individual's ability

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Speaker 4: to carry out the normal activities of daily living. That's

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Speaker 4: when these changes might signal something a little bit more

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Speaker 4: concerning and something that might require more detailed medical evaluation

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Speaker 4: to make a diagnosis. But those more severe changes are

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Speaker 4: not what we're focused on today. We're trying to understand

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Speaker 4: the relatively benign changes that may also be a concern

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Speaker 4: to people and to try and empower them with all

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Speaker 4: the inflammation they need to try and put in place

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Speaker 4: behaviors today that might enable them to grow older with

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Speaker 4: preserved cognitive function.

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Speaker 3: Yeah, okay, so what are the dos and don'ts of this?

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Speaker 2: Obviously, diet, exercise, sleep has got to be a big

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Speaker 2: factor here.

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Speaker 3: That's going to be important.

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Speaker 2: A memory, which is why if you take a little nap,

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Speaker 2: you know, you feel a lot better. That brain fog

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Speaker 2: kind of goes away for a little bit.

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Speaker 4: I think you've raised you know, very very good points.

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Speaker 4: The biggest factors today that we can put our finger

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Speaker 4: on in terms of preserving brain health is understanding that

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Speaker 4: a healthy heart goes together with a healthy brain. And

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Speaker 4: so one of the most important factors that we know

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Speaker 4: preserves brain health or may slow down memory loss as

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Speaker 4: we grow older is to try and make sure that

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Speaker 4: your blood pressure.

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Speaker 5: Is under good control.

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Speaker 4: Get screened for blood pressure, Understand what your blood presure

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Speaker 4: numbers mean, make sure that your position is able to

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Speaker 4: speak to you, assess your blood pressure, and if your

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Speaker 4: blood pressure needs to be brought down the medication or

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Speaker 4: by behaviors such as eating a healthier diet, exercising more regularly.

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Speaker 4: That's something that you can proactively do today to try

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Speaker 4: and preserve brain health as we grow older. And then

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Speaker 4: many of the other behaviors that you mentioned are exactly

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Speaker 4: what you know now I get a chance to talk

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Speaker 4: about as a position with my own patients. Regular exercise,

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Speaker 4: being physically active, saying socially engaged, eating a heart healthy diet.

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Speaker 4: All of these we know preserve brain health. Limiting alcohol

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Speaker 4: intake as well. If you're a smoker, it's never too

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Speaker 4: late to stop smoking and preserve brain health through preserved

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Speaker 4: heart health. So these are all examples of behaviors that

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Speaker 4: we can put in place today to try and ensure

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Speaker 4: that we preserve brain functions to the maximum capacity as

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Speaker 4: we grow older.

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Speaker 2: Doctor, how does stress interfere with all this stuff? I

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Speaker 2: guess in my mind, there's a lot of complex effects

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Speaker 2: that it has. Right, if you have a lot of stress,

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Speaker 2: it's interesting how your brain works. It has have a

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Speaker 2: long term effect on your memory in this kind of

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Speaker 2: cognitive decline we're talking about.

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Speaker 4: So there's experimental evidence that chronic stress, the stress over

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Speaker 4: a prolonged period of time, can in use changes in

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Speaker 4: the brain that may not be protected that they might

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Speaker 4: in and of themselves, cause changes in your memory function,

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Speaker 4: changes in your ability to do certain cognitive tasks. We

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Speaker 4: don't fully understand exactly how this might work, but we

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Speaker 4: think there's some evidence that certain neurotransmitters can get released

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Speaker 4: in the brain as a result of chronic stress, and

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Speaker 4: that this imbalance in certain neurotransmitter levels in the brain

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Speaker 4: can trigger these long term harmful effects in the brain.

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Speaker 4: It's also important in this context to understand the effect

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Speaker 4: that factors like loneliness play. And we've just come off

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Speaker 4: of a long pandemic that has taken a toll on

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Speaker 4: our ability to socialize, to stay engaged with friends and family,

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Speaker 4: and we are beginning to recognize that these changes, including

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Speaker 4: loneliness and stress, might have a disproportionate impact on older individuals.

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Speaker 4: So that's another factor to bear in mind when we

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Speaker 4: try and factor in stress, loneliness, depression, and low mood

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Speaker 4: as risk factors for poor cognitive in poor cognitive performance

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Speaker 4: as we grow older.

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Speaker 3: Yeah, and that makes sense too.

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Speaker 2: And I think that stress certainly is toxic to your body,

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Speaker 2: but especially your brain. But I think also the society

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Speaker 2: and the times in which we live We're interrupted at

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Speaker 2: all times, and that's just a reality of modern life.

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Speaker 2: I mean, your phones are going off, people are talking

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Speaker 2: to you, kids crying, somebody's having a conversation with you.

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Speaker 2: You start daydreaming, is interrupting yourself basically, and then when

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Speaker 2: we forget stuff, we think, oh my god, I'm in

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Speaker 2: cognitive decline, I have some sort of neurodegenerative disease, when

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Speaker 2: in fact, it's just modern society messing with our brains.

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Speaker 4: That's a good point, and I think that's all the

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Speaker 4: more reason why, you know, we need to make time

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Speaker 4: for ourselves, have opportunities for rest and relaxation, to try

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Speaker 4: and get an adequate night's sleep. I think all of

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Speaker 4: these factors play into controlling stress and doing as much

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Speaker 4: as you can to make a positive impact on your

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Speaker 4: brain health as you age.

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Speaker 2: Yeah, and yeah, talking about what is normal and abnormal

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Speaker 2: when it comes to aging and your brain, because we

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Speaker 2: all think we have some sort of incurable disease and

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Speaker 2: it's our biggest fear, and so you're kind of looking

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Speaker 2: for it. You think it's out there lurking, when in

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Speaker 2: fact it's it's not as common as you would think.

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Speaker 2: And also we're living longer too, when I hear all

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Speaker 2: these things and go, all right, well, what's what's right?

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Speaker 3: What's normal? What about brain fog? Does that mean I

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Speaker 3: have you? Mentally?

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Speaker 2: I got I have brain fog today. I've got some

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Speaker 2: brain fog going right now, largely because I eat ham

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Speaker 2: yesterday and it's full of salt, and my body hates

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Speaker 2: me right now, and uh, I hate food. I normally

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Speaker 2: don't eat, so I'm miserable. And well, that's what's causing

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Speaker 2: the brain fog. So if you have chronic brain fog,

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Speaker 2: you have it a lot. What can be done about that?

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Speaker 2: Or is it just you just accept it?

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Speaker 4: So I think the term brain fog means different things

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Speaker 4: to different people, And so in general, what I would

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Speaker 4: recommend is that if you're concerned about your memory, if

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Speaker 4: you think you've had significant changes in your memory, if

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Speaker 4: there are skills that you could previously do without effort

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Speaker 4: before that you now need extra help. If you're making

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Speaker 4: mistakes with tasks that you could routinely accomplish without help before,

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Speaker 4: those are all indicators that you might want to speak

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Speaker 4: to your healthcare provider and get a complete evaluation. There

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Speaker 4: are certain factors that can be easily treated or reversible.

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Speaker 4: I've had patients who've had first sleep at night, who've

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Speaker 4: had a diagnosis of dementia or mild cognitive impairment, and

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Speaker 4: once there's three problems to fix, their memory improves substantially.

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Speaker 4: So there are certain reversible factors that might be responsible

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Speaker 4: for these memory changes. And again it highlights the need

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Speaker 4: for you to be proactive in terms of seeking attention,

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Speaker 4: in talking to a healthcare provider, in trying to empower

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Speaker 4: yourself with all the resources in terms of information that

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Speaker 4: you need to try and understand some of these changes.

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Speaker 4: Be concerned when concern is warranted, but otherwise try and

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Speaker 4: put in place healthy behaviors that can ensure brain health.

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Speaker 2: Finally, doctor, you know, we seel like with EKGs and

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Speaker 2: echocardiograms and we get a baseline for your health at

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Speaker 2: a younger age. We're getting a baseline. We need a baseline.

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Speaker 2: Why don't we do that when it comes to your

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Speaker 2: mental acumen?

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Speaker 4: Well, I think we should. I think that's the fantastic points.

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Speaker 4: I don't think there is ever a good time, there

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Speaker 4: is ever a right time. I think every opportunity that

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Speaker 4: we get to try and get information, to try and

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Speaker 4: speak to a healthcare providers about what changes we expect

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Speaker 4: in memory as we grow older. I think all of

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Speaker 4: those opportunities are precious opportunities. And I think what you've

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Speaker 4: just highlighted is the importance of being proactive, the importance

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Speaker 4: of being attentive to these changes in memory as we

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Speaker 4: grow older, and to pay attention to behaviors that we

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Speaker 4: can implement the day to try and preserve rain health

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Speaker 4: as we age.

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Speaker 2: Yeah, and also if your spouse or loved one of

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Speaker 2: some is to pay attention to their health and if

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Speaker 2: something seems off and they're more irritable or something's going on,

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Speaker 2: that's that's a red flag for sure. Doctor Amadav the

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Speaker 2: Massetti is the vice chair of the McKnight Brain Research

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Speaker 2: Foundation nine and ten of is concerned about aging, memory

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Speaker 2: loss versus decline and function and what's normal and what's not.

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Speaker 2: And hopefully maybe got some useful information there before you

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Speaker 2: freak out. Doc, all the best, thanks for joining the show, appreciate.

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Speaker 4: It many thanks God News.

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Speaker 2: The picture is we wind it down for another year

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Speaker 2: on the Scotsland Show seven hundred WLW.

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Speaker 3: Willy gives me hope and these days we can all

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Speaker 3: use some hope. Willy is here for you, no matter

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Speaker 3: how lousy my day is.

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Speaker 2: I know I can count on Willie to turn things

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Speaker 2: around here to soothe your fears. I wish I could

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Speaker 2: find a man just like Willie, like the great.

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Speaker 3: American that I am. He uses lots of big words.

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Speaker 3: I use lots of big words too. It's almost like

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Speaker 3: we're twins.

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Speaker 2: All you have to do is listen to me, the

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Speaker 2: Great America, Dear Cunningham.

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Speaker 3: Today at twelve noon on seven hundred w l W.

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Speaker 2: Zerrs Carpet and Edderk Cleaning is bringing the gift of

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Speaker 2: clean this season with their holiday sales schedule today and

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Speaker 2: get forty bucks per room carpet clean. Seven hundred wlwar

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Speaker 2: can spend ready for this one over fourteen thousand dollars

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Speaker 2: for every man, woman in child in our fair country

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Speaker 2: here on what on healthcare?

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Speaker 3: Annually?

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Speaker 2: We spend the most in the free world, but don't

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Speaker 2: have nearly the best outcomes. Lots of concern when it

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Speaker 2: comes to our healthcare. There is a different route here, though.

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Speaker 2: What if you just paid for everything yourself? I've often said,

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Speaker 2: you know, if you cut out the middleman here and

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Speaker 2: got rid of bureaucracy and that would be insurance and

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Speaker 2: or government bureaucracy. Your costs had drop down dramatically, and

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Speaker 2: I think practitioners would be the doctors and nurses. Nurse

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Speaker 2: practitioners like would have a better quality of life and

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Speaker 2: everyone's happy. It's called it's the already, it's called direct

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Speaker 2: primary care. I just kind of googled it and we've

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Speaker 2: got about a dozen providers here in the tri States,

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Speaker 2: and that number has grown over the last few years.

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Speaker 2: He's the CEO of Healthcare to You, which pushes direct

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Speaker 2: primary care, and his name is Andy Bonner. Andy, welcome

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Speaker 2: to the show.

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Speaker 3: How are you well?

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Speaker 7: Thank you, I appreciate it.

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Speaker 3: Yeah, yeah, I'm.

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Speaker 2: Kind of familiar with this a little bit here too,

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Speaker 2: So explain if I didn't do a decent job of

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Speaker 2: that already. How does direct primary care work? Is its

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Speaker 2: simply just paying you directly as a physician. You treat me,

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Speaker 2: And it's kind of like the old days where I

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Speaker 2: remember when when I was a little little my mom

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Speaker 2: would take me to the you know, doctor who practiced

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Speaker 2: out of his living room, basically, and I think she

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Speaker 2: would pay cash. I think anyway, I'm not sure how

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Speaker 2: it worked. I was a little kid but I remember

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Speaker 2: that I don't know the quality of care, but I'm

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Speaker 2: alive today, so he must have done something right.

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Speaker 5: Well that that's exactly right. So it's really going back

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Speaker 5: in time and trying to establish a relationship with the

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Speaker 5: primary care for this and that oversees your health over

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Speaker 5: you know, the entirety of your life, if you can

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Speaker 5: possibly get that. But you know, the issue it with

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Speaker 5: the care that we receive today. It's really reactive type care.

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Speaker 5: It's really not looking at your whole being and being

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Speaker 5: able to monitor your blood results and so forth over

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Speaker 5: a period of time and seeing those little changes as

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Speaker 5: you age. And and really what direct primary care is

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Speaker 5: establishing that relationship with a doctor who can oversee your

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Speaker 5: health for a long period of time and see those

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Speaker 5: differences and be able to work with you before those

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Speaker 5: conditions turned to a bad state.

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Speaker 2: Okay, Yeah, And it sounds rather simple, and I think

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Speaker 2: as we get into this, I think it's going to

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Speaker 2: illustrate just how obsurd our system is and how much

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Speaker 2: money is being wasted in going to middlemen and people

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Speaker 2: who have absolute no concern over our care and the

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Speaker 2: quality of our care that just get in the way

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Speaker 2: and suck those dollars away from our desperately needed healthcare system.

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Speaker 2: And so it's been around for a while. Here, it's

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Speaker 2: starting to gain traction, as I mentioned, and I said

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Speaker 2: here in the tri State. In Cincinnati anyway, I've noticed

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Speaker 2: there's been a slight uptick of the number. About a

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Speaker 2: dozen or so now granted in the city this size,

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Speaker 2: it's not many, but at least the needle is moving

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Speaker 2: in the right direction. Let's look at them, the provider

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Speaker 2: And why would a physician want to do this in.

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Speaker 5: The first place, Well, I mean for a provider today

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Speaker 5: in the theef for service world, a couple of things

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Speaker 5: have occurred, well, actually several things have occurred over the years.

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Speaker 5: One is the administrative burden that a doctor has in

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Speaker 5: order to be able to be paid in the fee

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Speaker 5: for service insurance world. Not only do they have to

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Speaker 5: provide E and M codes, but they have to provide

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Speaker 5: they have to know how to distinguish between sixty four

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Speaker 5: thousand ICD votes to be able to provide a claim,

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Speaker 5: submit a claim to an insurance carrier who then will

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Speaker 5: reimverse them or find ways not to reimverse them over time.

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Speaker 5: And so what's happened in the primary care setting is

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Speaker 5: a lot of physicians either carry a large amount of

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Speaker 5: bad debt because the coding is not correctly, the insurance

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Speaker 5: hasn't paid on time. They get paid ninety to one

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Speaker 5: hundred and twenty days out. So they're being impacted from

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Speaker 5: a castload perspective, and they're having to hire a lot

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Speaker 5: more administrative staff in order to keep up with all

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Speaker 5: the coding and requirements by the state or the government

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Speaker 5: as it relates to Medicare, Medicaid, those types of patients.

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Speaker 5: So you know, a doctor has gone away from what

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Speaker 5: they learned uh in med school UH and they become

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Speaker 5: a very burdensome administrative staff that generally carries about five

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Speaker 5: to one support staff to a position if you're in

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Speaker 5: if you're in direct primary here, it acquires one support staff.

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Speaker 6: If that.

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Speaker 5: There are no plans submitted for the services that you provide.

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Speaker 5: It's a direct contract with a physician who gets paid

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Speaker 5: every month religiously on the same day, and the doctors

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Speaker 5: paid to oversee your health. So there's no restrictions on time,

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Speaker 5: there's no restrictions on what they can do.

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Speaker 7: There's not an.

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Speaker 5: Insurance carrier saying, oh, for that diagnosis, you should have

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Speaker 5: only spent six minutes with a patient versus you know,

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Speaker 5: the doctor wanted to spend twenty minutes, want to ask

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Speaker 5: about them some family issues or some you know what happened.

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Speaker 7: Uh, you know what's.

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Speaker 5: Going on with your family and your relatives and so forth.

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Speaker 5: So you can understand really a total picture of a

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Speaker 5: part versus just a minute or six minute quick visit

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Speaker 5: to deal with an acute issue or sickness and out

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Speaker 5: the door.

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Speaker 2: You go, Yeah, it's interesting, you know you walk into

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Speaker 2: I'll go to my primary care physician like twice a year,

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Speaker 2: and I go in there and there's seven or eight

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Speaker 2: people in the glass box and there's just countless numbers

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Speaker 2: of files and there's coding going all this stuff. Like, wow,

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Speaker 2: it takes a lot to run a physician's off. It's

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Speaker 2: not really all how much of that Steff's compliance almost

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Speaker 2: all of it, right, it's government, it's insurance, it's someone

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Speaker 2: who can code things in a medical Coding is a

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Speaker 2: career in of itself, and it just goes to show

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Speaker 2: you how burdens in the system is.

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Speaker 7: Yeah, if you look at I mean just a change.

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Speaker 5: From ICD nine to ICD ten, which was a requirement

442
00:21:46,359 --> 00:21:48,760
Speaker 5: which is a requirement of doctors now to understand the

443
00:21:48,800 --> 00:21:53,160
Speaker 5: coding systems. That's a change from about knowing twelve thousand

444
00:21:53,280 --> 00:21:56,800
Speaker 5: or so codes to knowing over sixty four thousand toads.

445
00:21:58,119 --> 00:21:58,920
Speaker 3: So you're correct.

446
00:21:58,960 --> 00:22:02,159
Speaker 5: You have to have the higher specialist that understands and

447
00:22:02,160 --> 00:22:05,280
Speaker 5: if you don't get the bill right, then the insurance

448
00:22:05,320 --> 00:22:08,200
Speaker 5: companies will rejected and you have to resubmit and play

449
00:22:08,240 --> 00:22:09,520
Speaker 5: that game back and forth.

450
00:22:10,040 --> 00:22:12,640
Speaker 7: And you know, really what happens in that game.

451
00:22:12,520 --> 00:22:15,800
Speaker 5: Is the insurance companies keep your money. You pay a

452
00:22:15,840 --> 00:22:19,880
Speaker 5: premium every month for an insurance product, and the insurance

453
00:22:19,920 --> 00:22:23,080
Speaker 5: company keeps that money until they absolutely have to give

454
00:22:23,080 --> 00:22:27,280
Speaker 5: it up to the position. And unfortunately those positions are

455
00:22:27,320 --> 00:22:28,320
Speaker 5: the ones who are left out.

456
00:22:28,960 --> 00:22:31,359
Speaker 2: Yeah, Andy Bonner is the CEO of healthcare. To you,

457
00:22:31,359 --> 00:22:34,080
Speaker 2: we're talking about DPC direct primary Care. Basically you pay

458
00:22:34,119 --> 00:22:37,520
Speaker 2: the position directly. What's the fees like? Typically what are

459
00:22:37,520 --> 00:22:38,280
Speaker 2: we talking here?

460
00:22:39,400 --> 00:22:42,040
Speaker 5: It just depends. I mean, so just to give you

461
00:22:42,040 --> 00:22:44,640
Speaker 5: a little information about us, you know, we're we've got

462
00:22:44,640 --> 00:22:47,679
Speaker 5: about fifteen clinics. I know you mentioned it in the

463
00:22:47,720 --> 00:22:51,760
Speaker 5: Cincinnati area, So we're we've got what we do is

464
00:22:51,800 --> 00:22:52,800
Speaker 5: we partner.

465
00:22:52,440 --> 00:22:54,480
Speaker 6: With existing physicians.

466
00:22:54,160 --> 00:22:57,600
Speaker 7: Who have a fee for service practice.

467
00:22:57,160 --> 00:23:00,439
Speaker 5: Who want to dabble them dabble their toe into the

468
00:23:00,480 --> 00:23:02,880
Speaker 5: direct primary care world, or do not want to get

469
00:23:03,000 --> 00:23:03,920
Speaker 5: rid of their fee.

470
00:23:03,760 --> 00:23:06,480
Speaker 7: For service pass, so they carve out.

471
00:23:06,400 --> 00:23:08,760
Speaker 5: A piece of their panel to work with us, and

472
00:23:09,400 --> 00:23:12,720
Speaker 5: our fees generally run less than fifty dollars a month

473
00:23:13,520 --> 00:23:16,919
Speaker 5: for a relationship, and that includes everything that happens in

474
00:23:16,960 --> 00:23:20,080
Speaker 5: the four walls of the physician's office, So think.

475
00:23:19,880 --> 00:23:20,560
Speaker 3: Of it that way.

476
00:23:20,640 --> 00:23:23,800
Speaker 5: You know, everything from skin irritations to upper respiratory to

477
00:23:25,640 --> 00:23:28,800
Speaker 5: you know, you know, digestional issues. Anything that happens in

478
00:23:28,880 --> 00:23:33,679
Speaker 5: primary care also in our is in our membership. And

479
00:23:33,720 --> 00:23:36,800
Speaker 5: that would include an annual physical, a woman's well, women's

480
00:23:36,840 --> 00:23:40,679
Speaker 5: a lab, the labs associated with that, and then we

481
00:23:40,840 --> 00:23:45,399
Speaker 5: treat thirteen different front diseases, including diabetes and hypertension and

482
00:23:45,520 --> 00:23:47,960
Speaker 5: those same clinics at that low fee rate.

483
00:23:48,400 --> 00:23:48,800
Speaker 6: So it's a.

484
00:23:48,800 --> 00:23:54,160
Speaker 5: Pretty encompassing program. It also includes twenty four to seven telemedicine.

485
00:23:54,160 --> 00:23:57,840
Speaker 5: If you get sick on the weekends or late at

486
00:23:57,960 --> 00:24:00,280
Speaker 5: night or whatever, you can pull in and to get

487
00:24:00,280 --> 00:24:03,280
Speaker 5: a prescription called in. So it really is twenty four

488
00:24:03,320 --> 00:24:07,680
Speaker 5: to seven access and unlimited access. So whatever you need,

489
00:24:07,720 --> 00:24:11,000
Speaker 5: whether it be an acute condition of scirit skin irritation,

490
00:24:11,359 --> 00:24:14,120
Speaker 5: or you need your angle physicals and so forth, that's

491
00:24:14,160 --> 00:24:15,680
Speaker 5: all included in a membership fee.

492
00:24:15,840 --> 00:24:16,000
Speaker 6: Wow.

493
00:24:16,160 --> 00:24:19,000
Speaker 2: Interesting, Andy Bonder, CEO of Healthcare to you, it's direct

494
00:24:19,040 --> 00:24:21,320
Speaker 2: Primary care DPC. What we're talking about getting rid of

495
00:24:21,359 --> 00:24:23,480
Speaker 2: the middleman, which should be government and insurance companies just

496
00:24:23,480 --> 00:24:26,600
Speaker 2: paying your position directly. And so for around one hundred

497
00:24:26,680 --> 00:24:29,359
Speaker 2: or whatever it is a month a subscription rate, basically

498
00:24:29,440 --> 00:24:32,720
Speaker 2: you get unlimited healthcare. How does this work with you

499
00:24:32,800 --> 00:24:34,920
Speaker 2: kind of touched on but prescriptions.

500
00:24:35,600 --> 00:24:38,480
Speaker 5: Well, you have you have different programs that you can

501
00:24:38,520 --> 00:24:44,160
Speaker 5: wrap a membership around, so you can add like labs.

502
00:24:44,280 --> 00:24:47,440
Speaker 5: We have programs where you can add unlimited labs.

503
00:24:47,480 --> 00:24:48,240
Speaker 6: You can add.

504
00:24:48,720 --> 00:24:53,919
Speaker 5: A prescription program around it as well, and then.

505
00:24:53,880 --> 00:24:56,680
Speaker 7: You have you know, discount mri ct X.

506
00:24:56,720 --> 00:25:02,679
Speaker 5: Rays, discount labs so forth that you can include with

507
00:25:02,840 --> 00:25:05,960
Speaker 5: this program and it kind of makes a nice bundle.

508
00:25:07,200 --> 00:25:07,439
Speaker 6: You know.

509
00:25:07,480 --> 00:25:10,119
Speaker 5: We are most of the time, we're not sold as

510
00:25:10,160 --> 00:25:13,840
Speaker 5: a standalone product, and a lot of your DPC programs

511
00:25:13,840 --> 00:25:17,159
Speaker 5: are not. What they're what they do with DPC is

512
00:25:17,160 --> 00:25:20,280
Speaker 5: they wrap them into an insurance product to make those

513
00:25:20,400 --> 00:25:22,280
Speaker 5: insurance products work better.

514
00:25:22,800 --> 00:25:23,960
Speaker 6: So we become the.

515
00:25:23,880 --> 00:25:27,399
Speaker 5: Base layer of the insurance and then you put whether

516
00:25:27,440 --> 00:25:30,959
Speaker 5: it be a you have a lot of health shares

517
00:25:31,000 --> 00:25:33,560
Speaker 5: out there in the world today that you can combine

518
00:25:33,600 --> 00:25:34,119
Speaker 5: this with that.

519
00:25:34,119 --> 00:25:34,879
Speaker 6: You can combine this.

520
00:25:35,000 --> 00:25:38,280
Speaker 5: With a high deductable health plan so that you can

521
00:25:38,359 --> 00:25:42,600
Speaker 5: lower your premiums. I'm saying this is the entry level

522
00:25:42,680 --> 00:25:46,679
Speaker 5: and controls everything in a non claimed environment. So you know,

523
00:25:46,760 --> 00:25:50,399
Speaker 5: for a simple visit fee or none, you can go

524
00:25:50,440 --> 00:25:53,200
Speaker 5: see the doctor as much as you need to and

525
00:25:53,359 --> 00:25:55,640
Speaker 5: be able to spend as much time as you need

526
00:25:55,680 --> 00:25:56,479
Speaker 5: to with that position.

527
00:25:56,800 --> 00:25:58,400
Speaker 3: Okay, now that makes that makes sense.

528
00:25:58,440 --> 00:26:00,600
Speaker 2: So you're saying, if I need God's a big you know,

529
00:26:01,160 --> 00:26:04,439
Speaker 2: there's cancer treatments or something that's extremely outside the scope

530
00:26:04,480 --> 00:26:07,320
Speaker 2: of what my primary care position does, I would get

531
00:26:07,720 --> 00:26:09,359
Speaker 2: high deductible insurance to kind of cover that.

532
00:26:10,320 --> 00:26:11,960
Speaker 5: Yeah, that's what we recommend.

533
00:26:12,000 --> 00:26:15,399
Speaker 7: The mean insurance is really there.

534
00:26:15,080 --> 00:26:21,720
Speaker 5: For catastrophic reasons and if you put together the right plan.

535
00:26:21,880 --> 00:26:26,600
Speaker 5: The right plan is really US or another DPC program

536
00:26:26,680 --> 00:26:30,280
Speaker 5: as the front door where everything funnels through.

537
00:26:30,680 --> 00:26:34,040
Speaker 7: And in our case, what we have is a complete call.

538
00:26:33,800 --> 00:26:38,120
Speaker 5: Center with an MA on the front a medical assistant

539
00:26:38,119 --> 00:26:40,080
Speaker 5: on the front end, which is that same person that

540
00:26:40,400 --> 00:26:43,800
Speaker 5: first enters the exam room when you walk into a

541
00:26:43,840 --> 00:26:46,280
Speaker 5: doctor's office and they do the diagnosis for you, so

542
00:26:46,320 --> 00:26:50,280
Speaker 5: the doctor can spend that six minutes time. We put

543
00:26:50,320 --> 00:26:53,359
Speaker 5: them in a call center environment and our members never

544
00:26:53,480 --> 00:26:57,159
Speaker 5: have to schedule a doctor's applointment. They never have to

545
00:26:57,200 --> 00:27:00,280
Speaker 5: dial a doctor's office. We schedule all their care for them.

546
00:27:00,359 --> 00:27:03,840
Speaker 5: It's very high touch, white glove. We get them into

547
00:27:03,840 --> 00:27:06,800
Speaker 5: the doctor's office and it doesn't matter where they go

548
00:27:06,960 --> 00:27:12,680
Speaker 5: in our system. We are a fifty state uh DPC program,

549
00:27:12,720 --> 00:27:15,360
Speaker 5: so we have members in the offices in all fifty states.

550
00:27:15,720 --> 00:27:18,359
Speaker 5: So if you're traveling for work, if you're in another state,

551
00:27:18,560 --> 00:27:21,239
Speaker 5: it's the same pier that's provided to you wherever you

552
00:27:21,280 --> 00:27:22,119
Speaker 5: are in our system.

553
00:27:22,280 --> 00:27:24,560
Speaker 2: How would that work with a specialist though not necessarily

554
00:27:24,600 --> 00:27:27,600
Speaker 2: you know, surgical or AUF because I would have the

555
00:27:27,880 --> 00:27:29,640
Speaker 2: extra insurance for that, But if I need to see

556
00:27:29,640 --> 00:27:31,920
Speaker 2: a specialist on something, how does that work well?

557
00:27:32,040 --> 00:27:34,400
Speaker 5: To give you an idea, So when you called uh

558
00:27:34,680 --> 00:27:37,160
Speaker 5: and you have an app or you have a one

559
00:27:37,200 --> 00:27:40,280
Speaker 5: eight hundred number and you're filling ill, you call into

560
00:27:40,280 --> 00:27:43,800
Speaker 5: the doctor, you call into healthcare to you.

561
00:27:43,160 --> 00:27:44,080
Speaker 7: The m a answer.

562
00:27:44,280 --> 00:27:47,720
Speaker 5: The first thing they do is they triage you, uh,

563
00:27:47,800 --> 00:27:50,600
Speaker 5: based on you know, what's ailing you today, and if

564
00:27:50,640 --> 00:27:53,160
Speaker 5: it's something that we can care for in our world,

565
00:27:53,720 --> 00:27:56,399
Speaker 5: then we schedule that care for you. If we need

566
00:27:56,880 --> 00:28:00,639
Speaker 5: a specialist outside of that, then we can refer you

567
00:28:00,800 --> 00:28:04,080
Speaker 5: into specialists, whether it be on the plan that you have.

568
00:28:04,240 --> 00:28:07,920
Speaker 5: Because every member when they join us, we we ask

569
00:28:08,000 --> 00:28:10,359
Speaker 5: a series of questions so we know if they have

570
00:28:10,520 --> 00:28:14,280
Speaker 5: underlying insurance, if there's other attached insurance to it, and

571
00:28:14,400 --> 00:28:18,120
Speaker 5: we do our firm in network into whatever network they

572
00:28:18,200 --> 00:28:19,680
Speaker 5: may have or whatever.

573
00:28:19,400 --> 00:28:21,920
Speaker 7: Insurance they may have. UH, so that you have.

574
00:28:21,880 --> 00:28:25,720
Speaker 5: That condity of care going between a DPC and a

575
00:28:25,720 --> 00:28:26,800
Speaker 5: specialist organization.

576
00:28:27,000 --> 00:28:29,160
Speaker 2: Okay, good, that makes that makes a lot of sense.

577
00:28:29,440 --> 00:28:32,200
Speaker 2: How does Medicare and Medicaid work. Is that in direct

578
00:28:32,240 --> 00:28:35,720
Speaker 2: competition with this, because that that obviously that's not compatible

579
00:28:35,720 --> 00:28:39,240
Speaker 2: what we're talking about. If you're on Medicare Medicaid, there's

580
00:28:39,360 --> 00:28:42,120
Speaker 2: you know, that's that's taken care of and there's no

581
00:28:42,160 --> 00:28:43,720
Speaker 2: outer well there's a little out of pocket, I guess

582
00:28:43,720 --> 00:28:45,239
Speaker 2: I should say. And then there's part B and C

583
00:28:45,320 --> 00:28:47,080
Speaker 2: and D and all that stuff as well. Is that

584
00:28:47,120 --> 00:28:48,760
Speaker 2: indirect adds that we're talking about here?

585
00:28:49,480 --> 00:28:52,000
Speaker 5: No, I mean you can't. There are programs we don't.

586
00:28:52,080 --> 00:28:54,640
Speaker 5: We don't deal in that world, and just because of

587
00:28:54,640 --> 00:28:57,160
Speaker 5: the paperwork, we try to stay out of the administrative

588
00:28:57,200 --> 00:29:01,520
Speaker 5: burdened area. But there are procms is looking at a

589
00:29:01,560 --> 00:29:07,600
Speaker 5: program for DPC to be involved in that Medicaid program

590
00:29:07,760 --> 00:29:13,760
Speaker 5: and Medicare. You're required to utilize those services first. So

591
00:29:14,720 --> 00:29:17,840
Speaker 5: if you're on Medicare, you generally either you augment out

592
00:29:17,960 --> 00:29:21,560
Speaker 5: kind of like you do with a B plan, with

593
00:29:21,840 --> 00:29:24,320
Speaker 5: that primary care in the senior arena.

594
00:29:24,400 --> 00:29:27,120
Speaker 7: So there are programs out there who deal with both.

595
00:29:27,400 --> 00:29:30,200
Speaker 2: Okay, good again, Andy Bonner, CEO of Healthcare, to you,

596
00:29:30,240 --> 00:29:33,440
Speaker 2: it's direct primary care. Basically pay a doctor a flat

597
00:29:33,480 --> 00:29:36,480
Speaker 2: feet a month for unlimited healthcare and it keeps your

598
00:29:36,480 --> 00:29:39,520
Speaker 2: costs extremely what's the typical savings for someone if you

599
00:29:39,520 --> 00:29:40,920
Speaker 2: add it all up, I mentioned the head of this

600
00:29:41,600 --> 00:29:43,920
Speaker 2: we spend individual for every man, woman, and child in

601
00:29:43,960 --> 00:29:46,600
Speaker 2: America about fourteen thousand dollars per person. If you think

602
00:29:46,640 --> 00:29:48,960
Speaker 2: about the younger folks, they use healthcare a lot less.

603
00:29:48,960 --> 00:29:51,520
Speaker 2: That means older folks are using way more than fourteen

604
00:29:51,560 --> 00:29:54,320
Speaker 2: thousand per person. But out of that, what would you

605
00:29:54,360 --> 00:29:57,200
Speaker 2: expect to spend in a year you know, we have.

606
00:29:57,760 --> 00:30:01,360
Speaker 5: There's been a lot of analysis done with different independent

607
00:30:01,400 --> 00:30:04,960
Speaker 5: third parties that have looked at direct primary care and

608
00:30:05,040 --> 00:30:07,720
Speaker 5: the impact of not only from the employer side of

609
00:30:07,720 --> 00:30:10,640
Speaker 5: it being able to provide this for the employees as

610
00:30:10,680 --> 00:30:15,560
Speaker 5: an alternative, but also on the individual side and depending

611
00:30:15,640 --> 00:30:17,160
Speaker 5: on the price point.

612
00:30:17,400 --> 00:30:20,200
Speaker 7: In our case, we can generally show.

613
00:30:20,080 --> 00:30:24,760
Speaker 5: A first year ROI of anywhere between thirteen to twenty

614
00:30:24,800 --> 00:30:29,080
Speaker 5: five percent net of fees, so savings both of the

615
00:30:29,120 --> 00:30:32,840
Speaker 5: employer and the employee for signing up to direct primary care.

616
00:30:33,000 --> 00:30:35,760
Speaker 2: All right, is there a centralized website or number one

617
00:30:35,800 --> 00:30:37,800
Speaker 2: can go and find out if there's a care provider

618
00:30:37,840 --> 00:30:38,120
Speaker 2: near me?

619
00:30:39,560 --> 00:30:43,560
Speaker 5: Certainly, well, Healthcare to you, it's www dot help, the

620
00:30:43,640 --> 00:30:47,440
Speaker 5: letter C, the number two, the letter U dot com.

621
00:30:47,560 --> 00:30:49,440
Speaker 2: Yeah, there's look a dozen, maybe fifteen or so when

622
00:30:49,480 --> 00:30:51,680
Speaker 2: the Cincinnati area that number is growing. Is certainly something

623
00:30:51,720 --> 00:30:54,280
Speaker 2: worth looking at. Andy Bonner, CEO of Healthcare to you,

624
00:30:54,360 --> 00:30:55,760
Speaker 2: thanks again for the time, good info.

625
00:30:56,440 --> 00:30:58,320
Speaker 7: Well, thank you sir, appreciate the invite.

626
00:30:58,560 --> 00:30:59,720
Speaker 3: You bet Merry Christmas.

627
00:31:00,160 --> 00:31:02,200
Speaker 2: If you're hearing this, you go, well, wait a minute,

628
00:31:02,680 --> 00:31:05,440
Speaker 2: the Affordable Care Act or getting cuts or get fat,

629
00:31:05,440 --> 00:31:07,440
Speaker 2: don't know, fifty bucks or an individual hundred for a

630
00:31:07,480 --> 00:31:12,160
Speaker 2: family for unlimited healthcare from a primary care physician seems affordable.

631
00:31:12,200 --> 00:31:14,400
Speaker 2: Doesn't know why is it affordable? Well, because you cut

632
00:31:14,400 --> 00:31:16,600
Speaker 2: out all the bs and you just paid the doctor directly.

633
00:31:16,960 --> 00:31:20,480
Speaker 2: There's your affordable healthcare. Scott's Loan Show seven hundred w weld.

634
00:31:20,680 --> 00:31:25,000
Speaker 3: My uncontrollable movements called TD tart of dyskenesia felt embarrassing.

635
00:31:25,280 --> 00:31:27,360
Speaker 3: I felt like disconnecting.

636
00:31:27,040 --> 00:31:29,840
Speaker 2: This holiday slash Christmas New Year's season, whatever it does,

637
00:31:29,880 --> 00:31:33,080
Speaker 2: you celebrate or don't celebrate, getting time off man, treat yourself.

638
00:31:33,960 --> 00:31:39,600
Speaker 2: Sloana here seven hundred wlw uh, thank you. And also

639
00:31:39,640 --> 00:31:42,400
Speaker 2: I hate you to Brian Combs's sister in law because

640
00:31:42,440 --> 00:31:45,520
Speaker 2: she makes the fiercest Christmas cookies. And I'm talking about

641
00:31:45,920 --> 00:31:48,040
Speaker 2: not just like a little tray of cookies. I'm talking

642
00:31:48,080 --> 00:31:53,200
Speaker 2: about a manhole cover, a Seg Dennison sized plate of

643
00:31:53,840 --> 00:31:58,120
Speaker 2: frosted goodness, absolutely incredible. Same time I just had four

644
00:31:58,160 --> 00:32:02,479
Speaker 2: or five, and now these sugar portion is the sugar

645
00:32:02,520 --> 00:32:03,560
Speaker 2: is spiking and I'm going.

646
00:32:03,400 --> 00:32:04,200
Speaker 3: To get the direction.

647
00:32:05,240 --> 00:32:07,640
Speaker 2: I never just stood those A one C commercials until

648
00:32:07,720 --> 00:32:10,320
Speaker 2: this holiday season. I'm sure I'm over the limit, or

649
00:32:10,320 --> 00:32:11,880
Speaker 2: I'm not sure where the wouldn't see.

650
00:32:11,880 --> 00:32:12,400
Speaker 3: But I don't know.

651
00:32:12,440 --> 00:32:14,760
Speaker 2: If you're over under it's better. But damn, those are

652
00:32:14,760 --> 00:32:17,120
Speaker 2: some good Christmas cookies. Best time of the year, best

653
00:32:17,120 --> 00:32:21,520
Speaker 2: time of the year. What else is going on? I

654
00:32:21,520 --> 00:32:24,040
Speaker 2: heard a call over our police scanner that there was

655
00:32:24,080 --> 00:32:26,080
Speaker 2: a fire in a house. I thought it was a

656
00:32:26,120 --> 00:32:28,400
Speaker 2: Christmas tree. It turns out it was not. It was

657
00:32:28,480 --> 00:32:31,120
Speaker 2: just someone had left something plugged into the kitchen. I

658
00:32:31,120 --> 00:32:35,320
Speaker 2: guess if you ever liked those scanners, it's funny because

659
00:32:35,320 --> 00:32:37,640
Speaker 2: you're just sting to listen and calls will come through

660
00:32:37,680 --> 00:32:39,200
Speaker 2: and you could find it's like a mini It's like

661
00:32:39,200 --> 00:32:41,040
Speaker 2: a bunch of mini soap operas going on. It really

662
00:32:41,040 --> 00:32:45,680
Speaker 2: is fascinating. But I laughed because I thought that Christmas

663
00:32:45,720 --> 00:32:48,320
Speaker 2: tree fire. Is just talking about this, and it turns

664
00:32:48,320 --> 00:32:50,000
Speaker 2: out it was like a toaster oven as opposed to

665
00:32:50,040 --> 00:32:51,920
Speaker 2: a Christmas tree that was causing the problem. Not the

666
00:32:52,000 --> 00:32:55,280
Speaker 2: Christmas tree itself, but Christmas tree fires. To me, that

667
00:32:55,440 --> 00:32:59,760
Speaker 2: is the razor blading candy of the Christmas season that

668
00:32:59,840 --> 00:33:02,440
Speaker 2: you're supposed to check the kid's candy at Halloween for

669
00:33:02,640 --> 00:33:04,800
Speaker 2: needles and razor blades. And we just at a store

670
00:33:04,800 --> 00:33:07,320
Speaker 2: where someone had found or put a razor blood I think,

671
00:33:07,360 --> 00:33:11,000
Speaker 2: in a loaf of bread in a grocery store. And

672
00:33:11,040 --> 00:33:13,600
Speaker 2: someone had sent me that story, and I said, well, okay,

673
00:33:13,800 --> 00:33:15,320
Speaker 2: I'm sure there are people that would do that, but

674
00:33:15,960 --> 00:33:18,120
Speaker 2: that's more like the tailan all murders, right, than it

675
00:33:18,160 --> 00:33:22,440
Speaker 2: is Christmas than it is Halloween candy. I remember when

676
00:33:22,440 --> 00:33:25,360
Speaker 2: mine were little, we never did it because I thought

677
00:33:25,360 --> 00:33:27,720
Speaker 2: it was stupid. Then is you can take the kid's

678
00:33:27,800 --> 00:33:29,640
Speaker 2: candy to a hospital and they would X ray it

679
00:33:29,680 --> 00:33:31,840
Speaker 2: for make sure there's the and they did it for

680
00:33:31,920 --> 00:33:34,240
Speaker 2: years and years and years. I'm almost damn sure no

681
00:33:34,280 --> 00:33:36,320
Speaker 2: one ever found anything bad in the candy. And my

682
00:33:36,680 --> 00:33:38,680
Speaker 2: whole idea betime, you know there may be a razor.

683
00:33:38,680 --> 00:33:40,800
Speaker 2: Brother got to check your candy for needles and razor

684
00:33:40,800 --> 00:33:43,840
Speaker 2: blades is because mom and dad want their their taste,

685
00:33:43,880 --> 00:33:45,600
Speaker 2: they want their peace, they want their cut, they want

686
00:33:45,600 --> 00:33:49,320
Speaker 2: to wet their beak. To quote the Godfather, it wasn't

687
00:33:49,320 --> 00:33:51,400
Speaker 2: about checking for oh that's maybe poison.

688
00:33:51,720 --> 00:33:52,560
Speaker 3: It's fine and dad.

689
00:33:52,600 --> 00:33:55,440
Speaker 2: Isn't it funny how all the reasones and snackers were

690
00:33:55,480 --> 00:33:58,600
Speaker 2: somehow tainted. Yeah, I gotta confiscate this, I gotta have

691
00:33:58,640 --> 00:34:00,480
Speaker 2: this destroyed. And you just go in the room and

692
00:34:00,720 --> 00:34:03,480
Speaker 2: go in the closet and just eat yourself stupid on

693
00:34:03,600 --> 00:34:06,880
Speaker 2: the kids treats. Why is it that every Snicker's bar dead,

694
00:34:06,880 --> 00:34:08,560
Speaker 2: there's a needle or a raise. Well, it just looks

695
00:34:08,560 --> 00:34:10,880
Speaker 2: like it's tank. I'm gonna I'm gonna set this. I'll

696
00:34:10,880 --> 00:34:12,520
Speaker 2: throw this out, dispose. It's got to be put in

697
00:34:12,520 --> 00:34:15,600
Speaker 2: an incinerator. It's a whole thing. It's it's compliance. It's osha.

698
00:34:15,640 --> 00:34:19,240
Speaker 2: You kids don't understand. And now it's Christmas tree fires,

699
00:34:19,640 --> 00:34:21,960
Speaker 2: and like all right, I could see maybe back you know,

700
00:34:22,000 --> 00:34:24,720
Speaker 2: one hundred and fifty years ago, when they would literally

701
00:34:24,719 --> 00:34:27,240
Speaker 2: put the tree up on Christmas Eve, which it seems

702
00:34:27,239 --> 00:34:28,799
Speaker 2: like a lot of work. Even back then too. You

703
00:34:28,800 --> 00:34:31,320
Speaker 2: look at the old movies, there's tinsel and the whole production.

704
00:34:31,400 --> 00:34:32,680
Speaker 2: To do anything back in the day, it took a

705
00:34:32,719 --> 00:34:35,239
Speaker 2: lot of effort. Today, I go to the basement, pull

706
00:34:35,280 --> 00:34:37,560
Speaker 2: the tree out, thirty thirty second, snap two pieces together,

707
00:34:37,600 --> 00:34:39,640
Speaker 2: plug in, and here we go. It's pretty lit, read

708
00:34:39,680 --> 00:34:43,000
Speaker 2: and rock and roll. It's fire retardants. Got the led lights.

709
00:34:43,000 --> 00:34:45,000
Speaker 2: They just I think there's that many Christmas tree fires.

710
00:34:45,000 --> 00:34:46,960
Speaker 2: On hundred fifty years ago, they would literally light these

711
00:34:47,200 --> 00:34:50,080
Speaker 2: live trees with candles. I mean, put a candle on

712
00:34:50,120 --> 00:34:56,440
Speaker 2: the branch and now it's led lights. I mean they

713
00:34:56,440 --> 00:34:59,200
Speaker 2: really throw no heat out. They're very low voltage. Where's

714
00:34:59,200 --> 00:35:02,759
Speaker 2: the fire starting exactly? I will say, however, and I'll

715
00:35:02,760 --> 00:35:04,160
Speaker 2: put the alert out there. Now it's going to be

716
00:35:04,200 --> 00:35:06,800
Speaker 2: what seventy degrees today? It's going to be Christmas in

717
00:35:06,840 --> 00:35:08,600
Speaker 2: Miami here in Cincinnati shortly.

718
00:35:09,520 --> 00:35:10,200
Speaker 3: Space heaters.

719
00:35:11,000 --> 00:35:12,640
Speaker 2: You know a lot of people, older people for some

720
00:35:12,760 --> 00:35:16,760
Speaker 2: reason get freaked out about so they'll unplug everything, coffee

721
00:35:16,800 --> 00:35:19,200
Speaker 2: makers and stuff like that. One of the things you

722
00:35:19,200 --> 00:35:21,720
Speaker 2: should unplug is a space heater because they can be dangerous.

723
00:35:21,760 --> 00:35:23,680
Speaker 2: But yeah, okay, space heater fires are one thing. But

724
00:35:23,760 --> 00:35:26,879
Speaker 2: Christmas tree fires, I'm not so sure about that. Not

725
00:35:26,880 --> 00:35:30,040
Speaker 2: so sure about something else I'm not sure about. I'm

726
00:35:30,080 --> 00:35:31,520
Speaker 2: sure by now you've heard about what they're doing in

727
00:35:31,560 --> 00:35:34,360
Speaker 2: Australia relative to social media. Is a ban there for

728
00:35:34,480 --> 00:35:36,799
Speaker 2: children under sixteen, and that's now in effect. If you're

729
00:35:36,840 --> 00:35:39,080
Speaker 2: sixteen hundred, you cannot get on social media. I don't

730
00:35:39,080 --> 00:35:42,640
Speaker 2: know how they regulate that. I don't know how, I

731
00:35:42,680 --> 00:35:45,479
Speaker 2: don't know how effective. I yeah, we're banning social media

732
00:35:45,480 --> 00:35:46,759
Speaker 2: for kids. Well, how's that going to work?

733
00:35:46,800 --> 00:35:47,280
Speaker 3: Out.

734
00:35:48,239 --> 00:35:50,719
Speaker 2: Well, you know, you can't get on Instagram and you

735
00:35:50,760 --> 00:35:52,879
Speaker 2: can't get on Snapchat and you get great. But there's

736
00:35:52,920 --> 00:35:56,160
Speaker 2: probably thousands of other platforms out there that old adults

737
00:35:56,200 --> 00:35:58,279
Speaker 2: don't know about that kids do. And that's how this

738
00:35:58,280 --> 00:36:01,279
Speaker 2: stuff works. I mean, Facebook is a thing for teenagers

739
00:36:01,320 --> 00:36:04,680
Speaker 2: for a long time before retirees discovered and then share

740
00:36:04,719 --> 00:36:06,560
Speaker 2: their pictures of you know, their life, and then by

741
00:36:06,600 --> 00:36:08,719
Speaker 2: then the kids are like, okay, well mom and dad

742
00:36:08,760 --> 00:36:10,319
Speaker 2: and Graham and Grandpa have taken it over. I'm gonna

743
00:36:10,320 --> 00:36:12,200
Speaker 2: go to another platform where they don't hang out. That's

744
00:36:12,200 --> 00:36:14,680
Speaker 2: how it is. I just I don't think it's gonna work,

745
00:36:14,719 --> 00:36:17,600
Speaker 2: and only that, and I know that certainly there is

746
00:36:17,600 --> 00:36:19,640
Speaker 2: if you spend a lot of time on social there

747
00:36:19,640 --> 00:36:21,640
Speaker 2: are some damagings effect to your psyche. There is, But

748
00:36:21,840 --> 00:36:24,080
Speaker 2: I think a lot of this stuff is really overblown.

749
00:36:24,719 --> 00:36:27,520
Speaker 2: I think anytime that we get some new technology out there,

750
00:36:27,520 --> 00:36:30,680
Speaker 2: and I consider social in the inner to be relatively new. Anyway,

751
00:36:31,920 --> 00:36:34,359
Speaker 2: the idea is that this screen time is harming us.

752
00:36:35,120 --> 00:36:37,560
Speaker 2: If you spend all day it's like anything. You know

753
00:36:37,600 --> 00:36:40,160
Speaker 2: when we bann marijuana, Well, there's people out there that's

754
00:36:40,200 --> 00:36:41,480
Speaker 2: all they do all day. Well, yeah, if you do

755
00:36:41,520 --> 00:36:43,879
Speaker 2: that all day, if you eat or drink anything all day,

756
00:36:43,920 --> 00:36:46,200
Speaker 2: it's going to be bad for you. I would contend that,

757
00:36:46,920 --> 00:36:49,160
Speaker 2: you know, if you're especially studious and you read books

758
00:36:49,160 --> 00:36:52,040
Speaker 2: all day and never move, that's as bad. That's bad

759
00:36:52,080 --> 00:36:55,600
Speaker 2: for you too. You know, everything in moderation. I just

760
00:36:55,640 --> 00:36:58,560
Speaker 2: think that the effects of this can be in public

761
00:36:58,600 --> 00:37:01,840
Speaker 2: discourse and headlines be a little bit overstated. If you

762
00:37:01,880 --> 00:37:05,640
Speaker 2: look at, for example, the United States, the biggest challenge

763
00:37:05,680 --> 00:37:11,200
Speaker 2: to education, to learning and scores was COVID in from

764
00:37:11,440 --> 00:37:15,680
Speaker 2: twenty twelve to twenty twenty two. In that ten year period,

765
00:37:15,840 --> 00:37:17,680
Speaker 2: in the advent of social media, there was only a

766
00:37:17,719 --> 00:37:23,279
Speaker 2: minimal decline in test scores. And despite cell phone use

767
00:37:23,320 --> 00:37:25,640
Speaker 2: and like is the rate of anxiety depression IM pretty

768
00:37:25,680 --> 00:37:28,760
Speaker 2: much leveled off? And yeah, you know you have mental

769
00:37:28,760 --> 00:37:32,960
Speaker 2: health issues for sure. But the countries, it's interesting, countries

770
00:37:33,360 --> 00:37:36,080
Speaker 2: like Scandinavia for example example, where social media is big

771
00:37:36,080 --> 00:37:38,399
Speaker 2: but it's not US big. They have more mental health

772
00:37:38,480 --> 00:37:40,719
Speaker 2: issues there than we do here. And so I look

773
00:37:40,719 --> 00:37:42,600
Speaker 2: at this whole thing and go, Okay, well, you know,

774
00:37:42,680 --> 00:37:44,719
Speaker 2: it is a steady diet of social media bad for you,

775
00:37:44,760 --> 00:37:46,400
Speaker 2: bad for your development. It's like you sure it is,

776
00:37:46,480 --> 00:37:48,520
Speaker 2: but you know we're talking about banning it. That's an

777
00:37:48,640 --> 00:37:50,320
Speaker 2: entirely different thing because kids are just going to go

778
00:37:50,400 --> 00:37:54,640
Speaker 2: run and then it becomes underground. And anytime you prohibit something,

779
00:37:54,680 --> 00:37:56,640
Speaker 2: every time prohibition, you're gonna have a black market, and

780
00:37:56,680 --> 00:37:58,839
Speaker 2: certainly that's going to happen here. I'd like to see

781
00:37:58,840 --> 00:38:01,160
Speaker 2: more data on this. Yeah, less screen time is good.

782
00:38:01,200 --> 00:38:02,799
Speaker 2: I mean, you know, our couple hours a day, not

783
00:38:02,880 --> 00:38:04,759
Speaker 2: all day on it, But I don't think you know,

784
00:38:04,800 --> 00:38:06,680
Speaker 2: if you spend an hour or two on social media

785
00:38:06,800 --> 00:38:09,600
Speaker 2: really is the end of the world. But again, anything

786
00:38:09,640 --> 00:38:11,440
Speaker 2: new we have a fear of. That's how it is.

787
00:38:11,920 --> 00:38:14,040
Speaker 2: Get a news update and we're turning the show. Anthony

788
00:38:14,120 --> 00:38:16,080
Speaker 2: Davenport is here real quick. I always like to talk

789
00:38:16,120 --> 00:38:18,839
Speaker 2: to him this time of year because end of the year,

790
00:38:18,880 --> 00:38:21,160
Speaker 2: and you got some downtime presumably at the holidays, and

791
00:38:21,160 --> 00:38:23,319
Speaker 2: you can't just sit there and drink eggnogny cookies like

792
00:38:23,360 --> 00:38:26,319
Speaker 2: I do. You may actually like, Okay, I got little

793
00:38:26,360 --> 00:38:28,160
Speaker 2: stuff to do. I've got some housekeeping you do. One

794
00:38:28,200 --> 00:38:30,520
Speaker 2: of these shadow list is checking your credit reports. Details

795
00:38:30,520 --> 00:38:32,480
Speaker 2: on that to follow right after this Scott's Loan Show.

796
00:38:32,520 --> 00:38:34,600
Speaker 2: This is seven hundred ww.

797
00:38:34,320 --> 00:38:36,160
Speaker 3: By I jiy. You need to entertain.

798
00:38:37,160 --> 00:38:39,839
Speaker 2: Hopefully during the Christmas break, the holiday break here, you'll

799
00:38:39,840 --> 00:38:42,680
Speaker 2: have some time to yourself and maybe more time yourself

800
00:38:42,680 --> 00:38:44,520
Speaker 2: to get some I don't know housekeeping stuff done. What

801
00:38:44,600 --> 00:38:46,120
Speaker 2: are the things you should do? Put it on your

802
00:38:46,160 --> 00:38:48,759
Speaker 2: calendar right now. That is to make sure you pull

803
00:38:48,800 --> 00:38:50,640
Speaker 2: your free credit report once a year from the three

804
00:38:50,680 --> 00:38:52,879
Speaker 2: major agencies you can pull your credit report for free.

805
00:38:52,920 --> 00:38:54,960
Speaker 2: It's always good to go check up on that stuff

806
00:38:55,280 --> 00:38:57,520
Speaker 2: to make sure that I don't know there's something to

807
00:38:57,560 --> 00:39:01,200
Speaker 2: wonk in there or your identity stolen. For details on that,

808
00:39:01,320 --> 00:39:05,520
Speaker 2: let me bring in Anthony Davenport from credit cards dot Com. Anthony, welcome.

809
00:39:05,560 --> 00:39:09,840
Speaker 2: You know what's insane here is that we're just supposed

810
00:39:09,880 --> 00:39:12,040
Speaker 2: to know to pull the credit reports. Yeah, it's like woy,

811
00:39:12,040 --> 00:39:13,680
Speaker 2: you're supposed to know that? How am I supposed to

812
00:39:13,680 --> 00:39:13,920
Speaker 2: know that?

813
00:39:14,600 --> 00:39:15,040
Speaker 6: Yeah?

814
00:39:15,080 --> 00:39:18,399
Speaker 8: And what's crazy is you know, no one ever learns

815
00:39:18,400 --> 00:39:20,960
Speaker 8: about this whole system. You're not taught about it in

816
00:39:21,080 --> 00:39:24,120
Speaker 8: high school or college, or your parents can't teach it

817
00:39:24,160 --> 00:39:27,080
Speaker 8: to you because it pretty much wasn't applicable then and

818
00:39:27,200 --> 00:39:30,640
Speaker 8: they didn't learn about it either. Yet, it controls so

819
00:39:30,800 --> 00:39:33,640
Speaker 8: much of what we do it controls, you know, as

820
00:39:33,640 --> 00:39:37,440
Speaker 8: you mentioned a mortgage, your credit cards, student loans, car loans,

821
00:39:38,160 --> 00:39:42,600
Speaker 8: but it's now even being used for auto insurance home insurance,

822
00:39:43,080 --> 00:39:46,879
Speaker 8: and the information they're collecting on you isn't always right

823
00:39:47,320 --> 00:39:49,719
Speaker 8: and you have very little recourse to correct it. And

824
00:39:49,760 --> 00:39:53,120
Speaker 8: that's something that we delve into in a whole chapter

825
00:39:53,239 --> 00:39:57,640
Speaker 8: called gaming the System how to actually correct this information

826
00:39:57,800 --> 00:40:00,240
Speaker 8: and remove negative information being.

827
00:40:00,200 --> 00:40:02,359
Speaker 2: They're about you and most people say have to say,

828
00:40:02,360 --> 00:40:04,400
Speaker 2: probably don't pull their annual credit report or look at

829
00:40:04,440 --> 00:40:05,160
Speaker 2: their credit report.

830
00:40:05,200 --> 00:40:06,719
Speaker 3: They just assume that it is what it is.

831
00:40:07,520 --> 00:40:10,719
Speaker 8: Yeah, and you know, that's the worst thing in the

832
00:40:10,719 --> 00:40:13,920
Speaker 8: world is to you know, we list the five biggest mistakes,

833
00:40:14,480 --> 00:40:17,759
Speaker 8: and one of them is that people don't look at

834
00:40:17,760 --> 00:40:19,920
Speaker 8: their credit and then they walk into a bank and say,

835
00:40:20,239 --> 00:40:22,719
Speaker 8: I'd like to get a loan. That's the wrong time

836
00:40:22,760 --> 00:40:24,960
Speaker 8: to figure out that something may not be quite right,

837
00:40:25,640 --> 00:40:28,080
Speaker 8: and you're taking their word for it that they're going

838
00:40:28,160 --> 00:40:29,600
Speaker 8: to give you the best deal because you just pay

839
00:40:29,600 --> 00:40:32,439
Speaker 8: your bills on time, and that's nothing could be further

840
00:40:32,480 --> 00:40:33,000
Speaker 8: from the truth.

841
00:40:33,360 --> 00:40:35,440
Speaker 2: In your job, because you do this for a living

842
00:40:35,480 --> 00:40:37,680
Speaker 2: and you work with people to try and get their

843
00:40:37,680 --> 00:40:40,160
Speaker 2: credit right and then some big names and some smaller

844
00:40:40,239 --> 00:40:43,320
Speaker 2: names probably as well too, and everywhere in between. Typically,

845
00:40:43,360 --> 00:40:47,040
Speaker 2: when someone is facing a credit issue, is it a

846
00:40:47,080 --> 00:40:50,040
Speaker 2: bad decision they made, is it bad luck? Is it

847
00:40:50,160 --> 00:40:52,799
Speaker 2: the credit bureau screwing things up? As a combination? What

848
00:40:52,920 --> 00:40:53,759
Speaker 2: typically do you say?

849
00:40:54,560 --> 00:40:58,279
Speaker 8: It really is a huge combination of things. In many

850
00:40:58,320 --> 00:41:01,279
Speaker 8: cases we see people with data associated to them because

851
00:41:01,280 --> 00:41:04,400
Speaker 8: they have a similar name to someone or similar social

852
00:41:05,160 --> 00:41:08,040
Speaker 8: But the biggest issue that I see, and it affects

853
00:41:08,200 --> 00:41:12,480
Speaker 8: thirty five percent of Americans or that we get medical collections.

854
00:41:13,080 --> 00:41:15,600
Speaker 8: And these are people that have health insurance. But because

855
00:41:15,600 --> 00:41:18,480
Speaker 8: the system is so flawed, and when you go to

856
00:41:18,520 --> 00:41:21,719
Speaker 8: the doctor, the hospital, the er, you hand over your

857
00:41:21,719 --> 00:41:24,960
Speaker 8: insurance card and you figure you're all good. But then

858
00:41:25,400 --> 00:41:27,560
Speaker 8: the doctor, the er they have a fight with the

859
00:41:27,600 --> 00:41:29,920
Speaker 8: insurance company over how much is supposed to be paid.

860
00:41:30,880 --> 00:41:33,280
Speaker 8: The balance that's in the middle if they can't agree

861
00:41:34,000 --> 00:41:36,120
Speaker 8: is your liability. And often you don't find out about

862
00:41:36,120 --> 00:41:38,240
Speaker 8: it until it's on your credit report and it lowers

863
00:41:38,239 --> 00:41:41,000
Speaker 8: your credit score by an average of fifty to one

864
00:41:41,080 --> 00:41:41,640
Speaker 8: hundred points.

865
00:41:41,760 --> 00:41:45,560
Speaker 2: Well that's insane, and that that's medical. And so if

866
00:41:45,560 --> 00:41:46,840
Speaker 2: you look at all this stuff and make it up.

867
00:41:46,840 --> 00:41:48,400
Speaker 2: There's a lot of numbers. There's a lot of codes.

868
00:41:48,760 --> 00:41:50,480
Speaker 2: It's meant for us not to understand eve when we

869
00:41:50,520 --> 00:41:52,480
Speaker 2: look at it, except maybe that wonders that, yeah, what

870
00:41:52,719 --> 00:41:57,040
Speaker 2: a one number. So let's start with this again, Anthony Davenport,

871
00:41:57,040 --> 00:41:59,520
Speaker 2: you're a score and inside your secrets to understanding, controlling

872
00:41:59,560 --> 00:42:01,520
Speaker 2: and protect your credit score this morning on the show.

873
00:42:02,040 --> 00:42:05,680
Speaker 2: So what are the numbers that go into Obviously it's

874
00:42:06,440 --> 00:42:08,759
Speaker 2: on the amount you borrow, there's a ratio between the

875
00:42:08,840 --> 00:42:10,560
Speaker 2: cap on your limit on your card and how much

876
00:42:10,600 --> 00:42:13,000
Speaker 2: you have out time to pay, things like that, But

877
00:42:13,040 --> 00:42:13,440
Speaker 2: what are some of.

878
00:42:13,440 --> 00:42:14,600
Speaker 3: The other factors.

879
00:42:15,000 --> 00:42:18,400
Speaker 8: So what catches most people off guard is that thirty

880
00:42:18,400 --> 00:42:21,200
Speaker 8: five percent of your score, which is the biggest percentage

881
00:42:21,280 --> 00:42:23,520
Speaker 8: of it, comes down to whether you pay your bills

882
00:42:23,560 --> 00:42:27,280
Speaker 8: on time. But now the other sixty five percent has

883
00:42:27,320 --> 00:42:31,120
Speaker 8: absolutely nothing to do with whether you pay your bills

884
00:42:31,120 --> 00:42:34,360
Speaker 8: on time, and that's usually what people can correct easier

885
00:42:34,560 --> 00:42:37,640
Speaker 8: than their payment history. So the next biggest chunk of

886
00:42:37,640 --> 00:42:41,000
Speaker 8: it is thirty percent of your score. Almost as much

887
00:42:41,000 --> 00:42:43,640
Speaker 8: as whether you pay your bills on time comes down

888
00:42:43,680 --> 00:42:48,040
Speaker 8: to how much of your credit cards you're using. And

889
00:42:48,080 --> 00:42:50,080
Speaker 8: this is this is not like whether your pay your

890
00:42:50,120 --> 00:42:52,839
Speaker 8: bills off in full each month. Remember that they only

891
00:42:52,920 --> 00:42:56,360
Speaker 8: update the bureaus every thirty to forty five days. So

892
00:42:56,440 --> 00:42:58,680
Speaker 8: if you're someone that maxes out a card and then

893
00:42:58,680 --> 00:43:01,480
Speaker 8: pays it off a week later, your credit score took

894
00:43:01,719 --> 00:43:05,000
Speaker 8: could plummet because of when they report that balance to

895
00:43:05,040 --> 00:43:07,359
Speaker 8: the bureaus, and then you look like a credit risk.

896
00:43:07,480 --> 00:43:08,320
Speaker 3: Wow, that's interesting.

897
00:43:08,960 --> 00:43:11,279
Speaker 2: So it's something that seemingly you would never think of

898
00:43:11,840 --> 00:43:14,440
Speaker 2: that factors in is having a huge impact.

899
00:43:14,200 --> 00:43:14,720
Speaker 3: On your credit.

900
00:43:15,320 --> 00:43:17,880
Speaker 8: It's massive impact, and it catches people off guard, no

901
00:43:17,880 --> 00:43:20,160
Speaker 8: matter how much money they make or what their payment

902
00:43:20,200 --> 00:43:20,759
Speaker 8: history is like.

903
00:43:21,520 --> 00:43:24,720
Speaker 2: Typically, when you run into problems with this, you start

904
00:43:24,760 --> 00:43:27,959
Speaker 2: missing things like a mortgage payment, delinquency on a loan,

905
00:43:28,880 --> 00:43:31,040
Speaker 2: going more than sixty days late on a car loan,

906
00:43:31,120 --> 00:43:33,400
Speaker 2: things like that. Those are the big ones that are

907
00:43:33,400 --> 00:43:35,319
Speaker 2: going to wind up getting you in trouble real quick.

908
00:43:35,400 --> 00:43:39,600
Speaker 8: Right, Yeah, they do. But I'll tell you that in

909
00:43:39,680 --> 00:43:42,840
Speaker 8: terms of the things that impact your score the most,

910
00:43:43,400 --> 00:43:46,799
Speaker 8: usually it's going to be like a collection account when

911
00:43:46,840 --> 00:43:50,239
Speaker 8: you don't return that cable box or you get a

912
00:43:50,239 --> 00:43:54,040
Speaker 8: medical collection needn't know about. Those things typically impact you

913
00:43:54,080 --> 00:43:56,800
Speaker 8: a huge amount. A mortgage will impact you the most

914
00:43:57,200 --> 00:43:59,799
Speaker 8: you know, if you miss your mortgage payment, but other

915
00:43:59,840 --> 00:44:02,920
Speaker 8: things like that will have a huge, massive impact. And

916
00:44:03,000 --> 00:44:06,000
Speaker 8: another crazy thing that we get into is the fact

917
00:44:06,040 --> 00:44:10,040
Speaker 8: that if you have previously immaculate history and then you

918
00:44:10,120 --> 00:44:14,319
Speaker 8: have a late payment, that will impact you much more

919
00:44:14,360 --> 00:44:16,919
Speaker 8: than someone who occasionally misses a payment here or there.

920
00:44:18,320 --> 00:44:20,960
Speaker 2: Yeah, that makes I guess it makes sense too. And

921
00:44:21,160 --> 00:44:23,320
Speaker 2: you know, we buy stuff all the time. Most people

922
00:44:23,400 --> 00:44:25,960
Speaker 2: use their credit card for purchases big and small, don't

923
00:44:25,960 --> 00:44:28,520
Speaker 2: think anything of it, and try to pay the bill,

924
00:44:28,560 --> 00:44:30,279
Speaker 2: I guess at the end of the month. But man,

925
00:44:30,320 --> 00:44:31,960
Speaker 2: some things start falling between the cracks. You know, you

926
00:44:31,960 --> 00:44:34,600
Speaker 2: get a bill that somehow doesn't show up, and you've

927
00:44:34,600 --> 00:44:37,560
Speaker 2: got all sorts of problems and it compounds rather.

928
00:44:37,440 --> 00:44:38,200
Speaker 3: Quickly as well.

929
00:44:38,320 --> 00:44:40,080
Speaker 2: Do you have any recourse at that point though, with

930
00:44:40,120 --> 00:44:42,000
Speaker 2: a credit bure er is if something like that happens,

931
00:44:42,040 --> 00:44:43,120
Speaker 2: or do you have to go to the credit or

932
00:44:43,120 --> 00:44:44,880
Speaker 2: is there anything they can do or is it a

933
00:44:44,920 --> 00:44:46,320
Speaker 2: case where hey, it's out of my hands.

934
00:44:47,120 --> 00:44:50,160
Speaker 8: No, you absolutely can do something, and you should, especially

935
00:44:50,200 --> 00:44:52,200
Speaker 8: if you know that you're going to be facing hardship

936
00:44:52,239 --> 00:44:55,080
Speaker 8: in advance. You know, we put a whole chapter on

937
00:44:55,760 --> 00:44:58,960
Speaker 8: how to recover when disaster strikes or wouldn't. It's really

938
00:44:58,960 --> 00:45:02,000
Speaker 8: when life happens, because life is going to happen, and

939
00:45:02,000 --> 00:45:03,879
Speaker 8: it happens to most of us and we go through

940
00:45:03,880 --> 00:45:07,440
Speaker 8: these situations. So we basically a reference guide for if

941
00:45:07,440 --> 00:45:09,399
Speaker 8: this happens to you, this is how to deal with it.

942
00:45:09,680 --> 00:45:11,920
Speaker 8: This is how you deal with the creditor, this is

943
00:45:11,960 --> 00:45:14,120
Speaker 8: how you do with the credit bureau. It'll help you

944
00:45:14,160 --> 00:45:16,520
Speaker 8: get back on your feet and it resolve the issues,

945
00:45:17,200 --> 00:45:20,880
Speaker 8: but it does take persistence. It's not just a magical

946
00:45:20,960 --> 00:45:22,400
Speaker 8: you know, hit a button and things go away.

947
00:45:22,640 --> 00:45:25,400
Speaker 2: Student debt relief is a big topic in Washington. The

948
00:45:25,400 --> 00:45:28,160
Speaker 2: presidents trying to do it again and just continue to

949
00:45:28,600 --> 00:45:31,000
Speaker 2: write off all this money and we're just borrowing it

950
00:45:31,000 --> 00:45:33,040
Speaker 2: from our kids' future. So it's going to make it worse,

951
00:45:33,120 --> 00:45:35,120
Speaker 2: not better down the line. But they don't care because

952
00:45:35,480 --> 00:45:37,160
Speaker 2: money terms, that gets served and most they can be.

953
00:45:37,200 --> 00:45:40,440
Speaker 2: There's eight years, right, But Anthony Davenport on that too.

954
00:45:40,440 --> 00:45:42,640
Speaker 2: I mean, the candiates kicked down the road, but what

955
00:45:42,719 --> 00:45:44,400
Speaker 2: happens to the credit marcus overall?

956
00:45:44,680 --> 00:45:48,479
Speaker 8: So that's the big looming question right now is what

957
00:45:48,719 --> 00:45:52,319
Speaker 8: is going to be the next crisis and student loan

958
00:45:52,360 --> 00:45:56,320
Speaker 8: debt is almost double the amount of debt of or

959
00:45:56,400 --> 00:45:59,520
Speaker 8: on credit cards, so many people are getting them that

960
00:45:59,520 --> 00:46:03,680
Speaker 8: Now they're been changing rules within the government about being

961
00:46:03,760 --> 00:46:07,399
Speaker 8: able to garnish your social security because they're expecting people

962
00:46:07,480 --> 00:46:12,239
Speaker 8: to go into retirement owing student loan debt. So people

963
00:46:12,280 --> 00:46:15,200
Speaker 8: are falling behind on that. They don't have the means

964
00:46:15,239 --> 00:46:18,200
Speaker 8: to be able to make payments on these massive amounts

965
00:46:18,200 --> 00:46:22,440
Speaker 8: of debt. And that's a huge issue. You know, we

966
00:46:22,480 --> 00:46:26,400
Speaker 8: wrote about that extensively because student loan debt, falling behind

967
00:46:26,440 --> 00:46:30,480
Speaker 8: on it, it's a massive, massive, massive problem.

968
00:46:30,560 --> 00:46:32,560
Speaker 2: It is too and I think that's a I don't

969
00:46:32,560 --> 00:46:33,919
Speaker 2: know if I want to call it a bubble because

970
00:46:33,920 --> 00:46:35,960
Speaker 2: it's so subsidized at this point, but I think it's

971
00:46:35,960 --> 00:46:38,400
Speaker 2: going to catch up, right, because if you have all

972
00:46:38,400 --> 00:46:40,440
Speaker 2: this outstanding debt and you have no means to pay

973
00:46:40,440 --> 00:46:42,239
Speaker 2: it off and mom and dad co signed, you're going

974
00:46:42,320 --> 00:46:44,680
Speaker 2: to screw up their social security. That's going to get garnished.

975
00:46:44,800 --> 00:46:47,880
Speaker 2: Your social security is going to get garnished, and the

976
00:46:47,920 --> 00:46:51,200
Speaker 2: whole industry is set up to make sure that that happens.

977
00:46:51,640 --> 00:46:53,560
Speaker 2: It's the one loan you can't get discharged. And I

978
00:46:53,560 --> 00:46:56,360
Speaker 2: think they learned a lot too from the two thousand

979
00:46:56,360 --> 00:46:59,000
Speaker 2: and eight crash and so on. Is to learn how

980
00:46:59,040 --> 00:47:01,520
Speaker 2: to make sure that bubble dozen per so the money

981
00:47:01,600 --> 00:47:02,200
Speaker 2: keeps coming in.

982
00:47:03,160 --> 00:47:05,400
Speaker 8: You're right, and the fact is most of these student

983
00:47:05,400 --> 00:47:08,400
Speaker 8: loans are backed by the federal government, which has so

984
00:47:08,600 --> 00:47:10,520
Speaker 8: many options to collect the money from you.

985
00:47:11,200 --> 00:47:13,720
Speaker 2: Again, the name of the book is an Insider Secret

986
00:47:13,800 --> 00:47:17,600
Speaker 2: to understanding, controlling and protecting your credit score. Anthony Davenport,

987
00:47:17,600 --> 00:47:19,360
Speaker 2: thanks for the time. Good stuff, appreciate.

988
00:47:18,960 --> 00:47:20,520
Speaker 8: It, Thanks Scott Pleasure.

989
00:47:20,960 --> 00:47:23,200
Speaker 2: It's kind of like the batteries and your smoke detector

990
00:47:23,280 --> 00:47:25,560
Speaker 2: dur the time change. Got to remember to do these

991
00:47:25,600 --> 00:47:28,239
Speaker 2: little things. Check those credit ports, just make sure. Just

992
00:47:28,280 --> 00:47:30,600
Speaker 2: takes a few minutes anyway, and then you know where

993
00:47:30,600 --> 00:47:34,320
Speaker 2: your stuff is. Set it and forget it. And speaking

994
00:47:34,360 --> 00:47:36,160
Speaker 2: of money, we'll talk to Andy Shaffer from all Worth

995
00:47:36,200 --> 00:47:38,640
Speaker 2: Financial one more time this year. He's at eleven thirty five.

996
00:47:39,440 --> 00:47:41,640
Speaker 2: We've got news now though here on the Home of

997
00:47:41,680 --> 00:47:45,320
Speaker 2: the Best Bengals coverage seven hundred WLW Cincinnati six million

998
00:47:45,360 --> 00:47:48,320
Speaker 2: packages every single day during the holidays. That number is

999
00:47:48,320 --> 00:47:51,000
Speaker 2: going to go up. Americans will ship back and forth

1000
00:47:51,080 --> 00:47:54,760
Speaker 2: something like three billion packages, which is an incredible number.

1001
00:47:55,560 --> 00:47:57,879
Speaker 2: All I know is this. I get my Amazon app out,

1002
00:47:57,880 --> 00:48:00,759
Speaker 2: I'm a prime member. I see something I clicked by.

1003
00:48:00,840 --> 00:48:03,040
Speaker 2: Two days later, there's a box at my front door.

1004
00:48:03,560 --> 00:48:06,120
Speaker 2: What the hell happens in between? Adam Baker's here. Adam

1005
00:48:06,200 --> 00:48:09,080
Speaker 2: is vice president of Global Transportation Services and a global

1006
00:48:09,120 --> 00:48:09,840
Speaker 2: mile at Amazon.

1007
00:48:10,080 --> 00:48:10,800
Speaker 3: Adam, how are.

1008
00:48:10,640 --> 00:48:12,960
Speaker 6: You very good? Thank you very much for having me

1009
00:48:13,000 --> 00:48:13,480
Speaker 6: on your show.

1010
00:48:13,520 --> 00:48:16,600
Speaker 2: Yeah, appreciate it. How come you have time to talk

1011
00:48:16,640 --> 00:48:18,640
Speaker 2: to me? You shouldn't you be out doing stuff?

1012
00:48:19,080 --> 00:48:20,560
Speaker 6: I am very busy this time of.

1013
00:48:20,560 --> 00:48:23,600
Speaker 9: Year, but this is my twentieth season, so I got

1014
00:48:23,760 --> 00:48:24,960
Speaker 9: I can make a little bit of.

1015
00:48:24,880 --> 00:48:25,400
Speaker 6: Time for you.

1016
00:48:25,280 --> 00:48:27,279
Speaker 3: You got some minions I got. I appreciate it.

1017
00:48:27,920 --> 00:48:30,279
Speaker 2: How much more volume do you do in December, say,

1018
00:48:30,960 --> 00:48:33,200
Speaker 2: versus July or June or summer months.

1019
00:48:33,280 --> 00:48:37,120
Speaker 9: Oh, the holiday season is one of our peak THEESUS

1020
00:48:37,160 --> 00:48:40,400
Speaker 9: throughout the year, you know, just going into the Cyber

1021
00:48:40,440 --> 00:48:42,040
Speaker 9: Monday and including Cyber Monday.

1022
00:48:41,880 --> 00:48:44,760
Speaker 6: The eleven days we sold over a billion units.

1023
00:48:45,040 --> 00:48:48,200
Speaker 9: That was a thousand items a second on Black Friday

1024
00:48:48,320 --> 00:48:51,720
Speaker 9: alone getting sold. So there's a tremendous amount of volume

1025
00:48:51,719 --> 00:48:54,399
Speaker 9: that comes through our system during this time period, and

1026
00:48:54,440 --> 00:48:57,440
Speaker 9: we've planned and prepared for this for many many months

1027
00:48:57,960 --> 00:49:01,279
Speaker 9: through our investments in our workforce, through one point two

1028
00:49:01,320 --> 00:49:04,879
Speaker 9: billion dollars in up skilling for training and education, as

1029
00:49:04,920 --> 00:49:07,000
Speaker 9: well as the onboarding of over two hundred and fifty

1030
00:49:07,160 --> 00:49:09,280
Speaker 9: thousand people during this time period.

1031
00:49:09,800 --> 00:49:12,880
Speaker 2: So the hiring has been good for you guys. And

1032
00:49:12,920 --> 00:49:14,640
Speaker 2: I think it's interesting too because you see your ads

1033
00:49:14,680 --> 00:49:17,360
Speaker 2: all the time. You're always recruiting as big a company

1034
00:49:17,400 --> 00:49:21,360
Speaker 2: as you are, and the benefits and compensation are great.

1035
00:49:21,719 --> 00:49:25,480
Speaker 2: That then drives up I guess better wages and things

1036
00:49:25,480 --> 00:49:28,880
Speaker 2: for everyone else too, so it rises all ships. So

1037
00:49:29,040 --> 00:49:31,560
Speaker 2: the fast fulfillment dates because you're seeing an uptick. You're

1038
00:49:31,560 --> 00:49:34,960
Speaker 2: getting you got the bodies, clearly, you've got the fleet,

1039
00:49:35,000 --> 00:49:38,880
Speaker 2: the facilities, and the logistics to do this. But because

1040
00:49:38,920 --> 00:49:40,920
Speaker 2: I can still get stuff in two days via Amazon,

1041
00:49:40,920 --> 00:49:43,320
Speaker 2: even this close to the holidays, it means your supply

1042
00:49:43,440 --> 00:49:45,120
Speaker 2: chain at the front and has to really move. It

1043
00:49:45,160 --> 00:49:47,319
Speaker 2: means your suppliers are cranking stuff out. So have you

1044
00:49:47,440 --> 00:49:49,960
Speaker 2: also seen an increase then and had to increase like

1045
00:49:50,800 --> 00:49:53,800
Speaker 2: the number of ports that container ships will ship to

1046
00:49:53,920 --> 00:49:54,279
Speaker 2: and such.

1047
00:49:54,480 --> 00:50:00,880
Speaker 9: So we absolutely have a tremendous supply chain groups powered

1048
00:50:00,880 --> 00:50:05,799
Speaker 9: by AI actually, So it's the fighting optimization technology. It's

1049
00:50:05,960 --> 00:50:09,680
Speaker 9: a phenomenal organization. What they're doing is they're going through

1050
00:50:09,760 --> 00:50:12,800
Speaker 9: trying to figure out a four hundred million unique items

1051
00:50:12,840 --> 00:50:15,600
Speaker 9: that are being sold throughout the United States. They try

1052
00:50:15,600 --> 00:50:18,080
Speaker 9: to figure out how much to buy, how much, where

1053
00:50:18,120 --> 00:50:21,520
Speaker 9: to source those from, whether it's overseas or domestically, in

1054
00:50:21,600 --> 00:50:23,280
Speaker 9: order to make sure that we have it on time

1055
00:50:23,920 --> 00:50:26,520
Speaker 9: for the point of sale. They then try to figure

1056
00:50:26,520 --> 00:50:29,120
Speaker 9: out where to place those four hundred unique items through

1057
00:50:29,239 --> 00:50:32,719
Speaker 9: hundreds of facilities in the United States and other places.

1058
00:50:33,160 --> 00:50:35,440
Speaker 9: And they also have to predict it at the appropriate

1059
00:50:35,480 --> 00:50:38,160
Speaker 9: inventory level to make sure when you click that buy

1060
00:50:38,200 --> 00:50:40,800
Speaker 9: now button, we can get it to your porch in

1061
00:50:40,880 --> 00:50:44,440
Speaker 9: a day and in many places three to five hours.

1062
00:50:44,800 --> 00:50:46,719
Speaker 2: Yeah, I mean it's incredible what you can get same

1063
00:50:46,800 --> 00:50:48,839
Speaker 2: day or if I'll be here on your doorstep before

1064
00:50:48,880 --> 00:50:51,319
Speaker 2: ordered by midnight, And it's incredible to me. If it's

1065
00:50:51,320 --> 00:50:55,640
Speaker 2: something stupid, it's like not yeah, toilet paper paper tells something.

1066
00:50:55,680 --> 00:50:57,920
Speaker 2: But I need a I don't know, I build stuff,

1067
00:50:57,920 --> 00:50:59,920
Speaker 2: so I need a particular part for a remodel I'm

1068
00:51:00,040 --> 00:51:02,440
Speaker 2: working on, so I may order it and go, oh yeah,

1069
00:51:02,480 --> 00:51:06,640
Speaker 2: I'll be here overnight. The logistics and the hubspoken hub

1070
00:51:06,680 --> 00:51:08,080
Speaker 2: system that you have is incredible.

1071
00:51:08,120 --> 00:51:08,920
Speaker 3: So let's go through that.

1072
00:51:08,960 --> 00:51:12,960
Speaker 2: Adam Baker with Amazon in talking about I click, I

1073
00:51:13,000 --> 00:51:15,080
Speaker 2: buy something a day or two days later or the same

1074
00:51:15,080 --> 00:51:16,920
Speaker 2: day shows up on my door. But there's so much

1075
00:51:16,960 --> 00:51:19,960
Speaker 2: happening in between that too, So let's just start with this,

1076
00:51:20,120 --> 00:51:22,160
Speaker 2: I click and then what happens give me the deep

1077
00:51:22,200 --> 00:51:24,359
Speaker 2: dive on what occurs after I place my order.

1078
00:51:24,480 --> 00:51:26,480
Speaker 6: Well, right, I'm in the same boat as you.

1079
00:51:26,960 --> 00:51:30,720
Speaker 9: I have many everyday essentials delivered to my porch on

1080
00:51:30,800 --> 00:51:33,880
Speaker 9: a daily basis, but also in the middle of the garage,

1081
00:51:33,920 --> 00:51:36,960
Speaker 9: and I need a torquerench or something like that, and

1082
00:51:37,440 --> 00:51:40,560
Speaker 9: somehow we are able to get it to me before dinner.

1083
00:51:40,719 --> 00:51:44,359
Speaker 6: So it's impressive. But this network starts with the time

1084
00:51:44,400 --> 00:51:44,719
Speaker 6: you click.

1085
00:51:44,800 --> 00:51:47,160
Speaker 9: By now, we talked a little bit about how we

1086
00:51:47,239 --> 00:51:51,480
Speaker 9: place the inventory, but after that it then comes into

1087
00:51:51,480 --> 00:51:52,680
Speaker 9: our fulfillment centers.

1088
00:51:52,800 --> 00:51:54,320
Speaker 6: Okay, the our fulfillment centers.

1089
00:51:54,400 --> 00:51:56,839
Speaker 2: Yeah, I'm sorry, And let's before we get there, let's

1090
00:51:56,840 --> 00:51:59,759
Speaker 2: describe how the system works. Right, because I know that

1091
00:51:59,840 --> 00:52:02,879
Speaker 2: you took the Superdome in Detroit, which is about five

1092
00:52:02,920 --> 00:52:05,920
Speaker 2: hours away for us, four hours away from us, and

1093
00:52:06,000 --> 00:52:08,160
Speaker 2: turn that into a hub but we also have here

1094
00:52:08,200 --> 00:52:11,000
Speaker 2: in Cincinnati at CVG. You've got like twelve flights a

1095
00:52:11,080 --> 00:52:13,800
Speaker 2: day going out too, So you've got a completely automated

1096
00:52:13,920 --> 00:52:16,360
Speaker 2: robotic system here at CVG. So it's not just you know,

1097
00:52:16,400 --> 00:52:18,440
Speaker 2: coming from one place, you have these all over the place.

1098
00:52:18,560 --> 00:52:22,399
Speaker 9: That's a great example of where we've deployed over seven

1099
00:52:22,480 --> 00:52:26,160
Speaker 9: hundred and fifty thousand robots throughout the Amazon network.

1100
00:52:26,239 --> 00:52:29,480
Speaker 2: All right, so I ordered, I order this torks you mean, say,

1101
00:52:29,760 --> 00:52:32,920
Speaker 2: a Torqu's ranch or a Torqus driver, and I get that.

1102
00:52:32,960 --> 00:52:35,120
Speaker 2: All right, I need that, and it's coming in I

1103
00:52:35,160 --> 00:52:37,000
Speaker 2: don't know, overnight or whatever I place it order.

1104
00:52:37,000 --> 00:52:38,200
Speaker 3: It goes to I don't know.

1105
00:52:38,200 --> 00:52:40,920
Speaker 2: I guess the closest one where they stock like two

1106
00:52:41,000 --> 00:52:43,520
Speaker 2: billion things would be Detroit. I'm guessing it's coming out

1107
00:52:43,560 --> 00:52:46,200
Speaker 2: of there or somewhere similar, depending where you live. And

1108
00:52:46,680 --> 00:52:49,000
Speaker 2: does that get on a does that get on a plane?

1109
00:52:49,040 --> 00:52:52,920
Speaker 2: Is that is that then sent via truck the distribution

1110
00:52:53,000 --> 00:52:55,040
Speaker 2: network for that one little thing? How many hands does

1111
00:52:55,040 --> 00:52:56,719
Speaker 2: that pass through? How many ports does that go through?

1112
00:52:58,120 --> 00:53:02,200
Speaker 9: Well, when we're doing our job right and well, it'll

1113
00:53:02,239 --> 00:53:05,480
Speaker 9: be coming through our regionalized network on the ground. So

1114
00:53:06,040 --> 00:53:09,120
Speaker 9: over the last year we went from a national fulfillment

1115
00:53:09,120 --> 00:53:11,239
Speaker 9: network in which an item could be flying through all

1116
00:53:11,280 --> 00:53:16,320
Speaker 9: these hubs from coast to coast, we moved into a regionalized.

1117
00:53:15,680 --> 00:53:19,840
Speaker 6: Network that basically is there's eight regents in the United.

1118
00:53:19,600 --> 00:53:23,400
Speaker 9: States, and within each region, we're actually able to fill

1119
00:53:23,560 --> 00:53:26,359
Speaker 9: seventy six percent of the demand within the region, and

1120
00:53:26,400 --> 00:53:28,279
Speaker 9: so we're keeping it on the ground, which is good

1121
00:53:28,280 --> 00:53:30,799
Speaker 9: for the environment, it's good for the speed, and it's

1122
00:53:30,840 --> 00:53:32,200
Speaker 9: also very good for our cost.

1123
00:53:32,640 --> 00:53:35,800
Speaker 2: Adam Banker, vice president of Global Transportation Services and Global

1124
00:53:35,800 --> 00:53:37,960
Speaker 2: Mile of Amazon. We're talking about how you click and

1125
00:53:38,000 --> 00:53:41,440
Speaker 2: then the same day, the next day or two days later,

1126
00:53:41,800 --> 00:53:45,080
Speaker 2: this obscure object whatever is you order or order of

1127
00:53:45,200 --> 00:53:47,439
Speaker 2: multiple orders shows up on your doorstep. We just don't

1128
00:53:47,440 --> 00:53:49,160
Speaker 2: think about it. It's cool because you go out two

1129
00:53:49,200 --> 00:53:50,960
Speaker 2: days This is amazing. I know exactly where it is

1130
00:53:50,960 --> 00:53:53,440
Speaker 2: in the world and when it's getting delivered, and I

1131
00:53:53,440 --> 00:53:55,600
Speaker 2: even know after it's delivered as well, when it's on

1132
00:53:55,600 --> 00:53:58,880
Speaker 2: my doorstep, which is absolutely incredibly Just take it for granted.

1133
00:53:59,239 --> 00:54:01,440
Speaker 2: With this time of year, the holidays being here, it's

1134
00:54:01,480 --> 00:54:03,400
Speaker 2: a better time than ever before to talk about what

1135
00:54:03,480 --> 00:54:07,000
Speaker 2: happens after you click. And so that part then somehow

1136
00:54:07,080 --> 00:54:09,680
Speaker 2: ends up on my door inside one of these facilities,

1137
00:54:09,680 --> 00:54:13,000
Speaker 2: whether it's at CBG or in Detroit as well, what

1138
00:54:13,080 --> 00:54:15,120
Speaker 2: goes on there, How much of this is automated, how

1139
00:54:15,200 --> 00:54:17,680
Speaker 2: much of this is robotics, how much is that it

1140
00:54:17,960 --> 00:54:21,520
Speaker 2: hands on? And does that change based on the location

1141
00:54:21,640 --> 00:54:22,920
Speaker 2: the type of facility that is.

1142
00:54:23,080 --> 00:54:26,800
Speaker 9: So I've actually been into the CBG hubs quite frequently,

1143
00:54:27,840 --> 00:54:31,759
Speaker 9: but yes, there's a tremendous amount of robotics in our facilities,

1144
00:54:32,040 --> 00:54:34,480
Speaker 9: especially as it relates to the items that.

1145
00:54:34,440 --> 00:54:35,280
Speaker 6: We're talking about.

1146
00:54:35,560 --> 00:54:39,600
Speaker 9: Those robots are moving inventory around to make a safer

1147
00:54:39,719 --> 00:54:43,160
Speaker 9: environment for our employees. They're eliminating some of the lifting

1148
00:54:43,560 --> 00:54:47,560
Speaker 9: that's required, so they'll actually pick up carts that contain

1149
00:54:47,640 --> 00:54:51,120
Speaker 9: completed packages and move them on to our trailers to

1150
00:54:51,120 --> 00:54:55,560
Speaker 9: go outside the door. So within each facilities, we also

1151
00:54:55,640 --> 00:54:59,640
Speaker 9: even have robotic arms that are used to be able

1152
00:54:59,680 --> 00:55:03,440
Speaker 9: to actotes as well as pick items out of individual

1153
00:55:03,520 --> 00:55:08,640
Speaker 9: inventory pods. So the level of robotics does vary depending

1154
00:55:08,680 --> 00:55:14,280
Speaker 9: on how old a particular building is. But all across

1155
00:55:14,360 --> 00:55:18,479
Speaker 9: the US worldwide, we've created over seven hundred new job

1156
00:55:18,520 --> 00:55:22,200
Speaker 9: categories and over a hundred thousand new jobs.

1157
00:55:23,480 --> 00:55:26,279
Speaker 2: It is amazing too because it works so well and

1158
00:55:26,320 --> 00:55:28,200
Speaker 2: we just don't think about it. We don't think about

1159
00:55:28,200 --> 00:55:29,880
Speaker 2: the user and I click and it shows up. But

1160
00:55:30,320 --> 00:55:33,720
Speaker 2: everything in between is a miracle of modern technology of AI,

1161
00:55:33,760 --> 00:55:38,640
Speaker 2: of computers. It's literally the cutting edge of American consumption, consumerism,

1162
00:55:38,800 --> 00:55:41,000
Speaker 2: and our capitalistic society. It's something else.

1163
00:55:41,560 --> 00:55:45,480
Speaker 9: It's really impressive to be able to make robotics AI

1164
00:55:46,280 --> 00:55:50,719
Speaker 9: with our workforce. This creates a very collaborative environment with

1165
00:55:50,760 --> 00:55:53,319
Speaker 9: our employees to enable them to be able to work

1166
00:55:53,360 --> 00:55:56,960
Speaker 9: an incredibly safe and ergonomic environment while still be able

1167
00:55:57,000 --> 00:55:59,319
Speaker 9: to deliver at the speeds that our customers have come

1168
00:55:59,440 --> 00:56:02,879
Speaker 9: a customs to other applications that AI are actually even

1169
00:56:02,920 --> 00:56:05,880
Speaker 9: in the delivery programs. So we talked about getting the

1170
00:56:05,920 --> 00:56:09,040
Speaker 9: item out of a fulfillment center and somewhat through our

1171
00:56:09,040 --> 00:56:11,840
Speaker 9: transportation network, but we still have to put it on

1172
00:56:11,880 --> 00:56:15,200
Speaker 9: your porch. AI has been used in that case to

1173
00:56:15,239 --> 00:56:18,640
Speaker 9: go through and try to group all those thousands and

1174
00:56:18,640 --> 00:56:23,160
Speaker 9: thousands of shipments together into a logical route that's carbon efficient,

1175
00:56:23,400 --> 00:56:28,719
Speaker 9: highly dense, and simple for our delivery service partner providers

1176
00:56:28,760 --> 00:56:33,240
Speaker 9: to be able to utilize. But when you have weather

1177
00:56:33,440 --> 00:56:33,960
Speaker 9: or any.

1178
00:56:33,800 --> 00:56:36,160
Speaker 6: Other unexpected activity, when you're out on the road.

1179
00:56:36,719 --> 00:56:41,320
Speaker 9: AI jumps in and recalculates those routes rewraps the driver

1180
00:56:42,080 --> 00:56:45,640
Speaker 9: to ensure that they have an easy, simplistic route to complete,

1181
00:56:46,000 --> 00:56:48,200
Speaker 9: as well as making sure we get that package on

1182
00:56:48,239 --> 00:56:49,120
Speaker 9: your porch on time.

1183
00:56:49,760 --> 00:56:51,839
Speaker 2: Yeah, and I think it's an interesting part about it too,

1184
00:56:51,840 --> 00:56:54,719
Speaker 2: because you as well, we only make fewer right so

1185
00:56:54,840 --> 00:56:57,520
Speaker 2: fewer left turns as possible to save time and gas,

1186
00:56:57,520 --> 00:56:58,680
Speaker 2: and that's really a thing.

1187
00:56:59,280 --> 00:57:01,320
Speaker 3: But AI is taking this to the next level.

1188
00:57:01,400 --> 00:57:02,000
Speaker 6: Absolutely.

1189
00:57:02,040 --> 00:57:05,920
Speaker 9: AI has begun to really change the way we actually

1190
00:57:05,960 --> 00:57:11,000
Speaker 9: do our routing, help us incorporate the unpredictable into what's

1191
00:57:11,040 --> 00:57:14,200
Speaker 9: been going on. And then we're beginning to use generative

1192
00:57:14,280 --> 00:57:18,480
Speaker 9: AI to go and take all the delivery preferences that

1193
00:57:19,320 --> 00:57:21,840
Speaker 9: people have had in terms of like how do you

1194
00:57:21,880 --> 00:57:25,320
Speaker 9: get into some of these complicated apartment complexes. There are

1195
00:57:26,200 --> 00:57:30,840
Speaker 9: difficult entries into some houses and some neighborhoods that after

1196
00:57:30,880 --> 00:57:33,240
Speaker 9: you've done this successfully a couple of times and have

1197
00:57:33,400 --> 00:57:36,160
Speaker 9: that in your data set, the generative AI can help

1198
00:57:36,200 --> 00:57:40,160
Speaker 9: work and provide those simplistic instructions for those drivers.

1199
00:57:40,520 --> 00:57:43,120
Speaker 2: Yeah, because I'd imagine with the number of bodies that

1200
00:57:43,200 --> 00:57:45,920
Speaker 2: you have, and they're human beings, they get sick, they

1201
00:57:45,960 --> 00:57:48,280
Speaker 2: take days off in vacations, and you may have different

1202
00:57:48,320 --> 00:57:50,440
Speaker 2: drivers on every route. I mean, my driver doesn't even

1203
00:57:50,440 --> 00:57:51,960
Speaker 2: look like it's the same driver every time, and yet

1204
00:57:52,040 --> 00:57:56,200
Speaker 2: they know. And that's because AI. That's because it's all

1205
00:57:56,280 --> 00:57:57,760
Speaker 2: right there in front of It tells them what to

1206
00:57:57,840 --> 00:57:59,959
Speaker 2: do step by step, so it doesn't matter the person

1207
00:58:00,120 --> 00:58:02,240
Speaker 2: and they can literally slide in and do that. If

1208
00:58:02,240 --> 00:58:04,000
Speaker 2: you're trained as a driver, you can do that job

1209
00:58:04,000 --> 00:58:04,720
Speaker 2: in any neighborhood.

1210
00:58:04,720 --> 00:58:05,880
Speaker 6: It sounds like well, and this.

1211
00:58:06,320 --> 00:58:09,760
Speaker 9: Goes to how Amazon has been actually helping support small

1212
00:58:09,840 --> 00:58:14,560
Speaker 9: medium sized businesses with our Delivery Service Provider program so

1213
00:58:15,000 --> 00:58:18,320
Speaker 9: they can there's thirty five hundred small businesses that are

1214
00:58:18,320 --> 00:58:19,680
Speaker 9: employing two hundred and seventy.

1215
00:58:19,520 --> 00:58:21,480
Speaker 6: Nine thousand drivers worldwide.

1216
00:58:22,160 --> 00:58:25,200
Speaker 9: Our tools that we've built in AI, whether it's the

1217
00:58:25,560 --> 00:58:29,440
Speaker 9: generative AI that's coming out or the routing, has enabled

1218
00:58:29,480 --> 00:58:33,680
Speaker 9: these delivery service providers to be able to hire drivers

1219
00:58:33,920 --> 00:58:36,840
Speaker 9: and be able to change routes as necessary. But they

1220
00:58:36,840 --> 00:58:40,280
Speaker 9: have generated over forty five billion dollars in revenue.

1221
00:58:41,160 --> 00:58:42,960
Speaker 6: So it's an amazing.

1222
00:58:42,480 --> 00:58:46,560
Speaker 9: Opportunity for small businesses and shows our commitment to their growth.

1223
00:58:46,880 --> 00:58:49,240
Speaker 2: It is an incredible thing to think of how quickly.

1224
00:58:49,280 --> 00:58:50,880
Speaker 2: The stuff from all the way around the world can

1225
00:58:50,920 --> 00:58:53,680
Speaker 2: get to us in such a short fast period of time.

1226
00:58:54,040 --> 00:58:56,320
Speaker 2: What's the biggest challenge for you guys moving forward here?

1227
00:58:57,040 --> 00:58:59,760
Speaker 9: One of the largest challenges that we face is making

1228
00:58:59,800 --> 00:59:04,080
Speaker 9: sure that we are always focused on taking care of

1229
00:59:04,120 --> 00:59:08,400
Speaker 9: our customer in terms of the price selection and convenience

1230
00:59:08,480 --> 00:59:11,560
Speaker 9: that they demand. The customers never ask for a product

1231
00:59:11,560 --> 00:59:13,520
Speaker 9: to be slower, They never asked for it to be

1232
00:59:13,560 --> 00:59:15,880
Speaker 9: more expensive, and they never ask it for it to

1233
00:59:15,920 --> 00:59:18,880
Speaker 9: be less convenient. So that's the biggest challenge that we have.

1234
00:59:19,080 --> 00:59:22,160
Speaker 9: When we're at the scale that we're at, servicing so

1235
00:59:22,320 --> 00:59:28,400
Speaker 9: many customers worldwide as well as inside each individual's small neighborhood,

1236
00:59:29,240 --> 00:59:32,080
Speaker 9: that is the biggest challenge is how do we continually

1237
00:59:32,440 --> 00:59:36,040
Speaker 9: to push that envelope on more than four hundred million

1238
00:59:36,120 --> 00:59:39,240
Speaker 9: unique items, be able to deliver in one day or

1239
00:59:39,320 --> 00:59:40,200
Speaker 9: less or in.

1240
00:59:40,000 --> 00:59:41,680
Speaker 6: Many cases three to five hours.

1241
00:59:41,960 --> 00:59:45,320
Speaker 9: That's an incredible challenge, and I believe that we continue

1242
00:59:45,360 --> 00:59:49,280
Speaker 9: to deliver on that price selection and speed for our customers.

1243
00:59:49,920 --> 00:59:51,640
Speaker 2: One other thing I'd add too, With this time of

1244
00:59:51,680 --> 00:59:53,800
Speaker 2: the year and the demand, the demand is extremely high.

1245
00:59:53,840 --> 00:59:56,160
Speaker 3: This is your busiest time of the year. The postal service.

1246
00:59:56,240 --> 00:59:58,400
Speaker 2: I think they see a huge uptick they do like

1247
00:59:58,400 --> 01:00:00,960
Speaker 2: twenty million, you guys are going to do in the

1248
01:00:01,000 --> 01:00:05,480
Speaker 2: billions when it comes to Amazon outside of talent. You

1249
01:00:05,480 --> 01:00:07,400
Speaker 2: know what we saw during COVID where no one could

1250
01:00:07,440 --> 01:00:09,240
Speaker 2: go into work. That was a huge challenge for the

1251
01:00:09,240 --> 01:00:13,480
Speaker 2: supply chain and everything completely a huge learning experience for

1252
01:00:13,520 --> 01:00:15,880
Speaker 2: you guys. But I think the other intangible here is

1253
01:00:15,920 --> 01:00:19,680
Speaker 2: the weather. You've got high demand, you've got some challenging

1254
01:00:19,720 --> 01:00:21,920
Speaker 2: weather concerns with you know, snow moving in.

1255
01:00:21,920 --> 01:00:23,120
Speaker 3: Et cetera, et cetera.

1256
01:00:23,680 --> 01:00:25,400
Speaker 2: How does AI or how do you guys adapt to

1257
01:00:25,440 --> 01:00:28,160
Speaker 2: that make that change so it is seamless. You know,

1258
01:00:28,200 --> 01:00:29,920
Speaker 2: you may have a slight delay in an item, but

1259
01:00:29,960 --> 01:00:32,400
Speaker 2: it's only going to be a day. Whereas airlines, I

1260
01:00:32,400 --> 01:00:34,800
Speaker 2: mean it seems like passenger lines take a lot longer

1261
01:00:34,800 --> 01:00:36,520
Speaker 2: to recover from weather event than you guys do.

1262
01:00:36,880 --> 01:00:37,120
Speaker 6: Well.

1263
01:00:37,240 --> 01:00:40,439
Speaker 9: Weather is something that in the logistics business you get

1264
01:00:40,560 --> 01:00:43,760
Speaker 9: very used to. We actually have our own meteorology group

1265
01:00:44,440 --> 01:00:47,680
Speaker 9: that is providing us regular weather reports to enable us

1266
01:00:47,720 --> 01:00:51,800
Speaker 9: to dynamically adjust our delivery.

1267
01:00:51,360 --> 01:00:52,680
Speaker 6: Times throughout the country.

1268
01:00:52,720 --> 01:00:56,120
Speaker 9: So using AI and the meteorology group, we know that

1269
01:00:56,320 --> 01:00:59,640
Speaker 9: oh three feet of snow is very different in somewhere

1270
01:00:59,720 --> 01:01:03,680
Speaker 9: like Anchorage, Alaska that it is in Atlanta, and we

1271
01:01:03,720 --> 01:01:08,560
Speaker 9: can adjust our delivery promises for that, and using that information,

1272
01:01:08,680 --> 01:01:13,160
Speaker 9: we can make the great promises for our customers. As

1273
01:01:13,240 --> 01:01:16,480
Speaker 9: part of this, though, taking a step back, one of

1274
01:01:16,560 --> 01:01:19,640
Speaker 9: the things that I really want to spend some time talking.

1275
01:01:19,480 --> 01:01:21,200
Speaker 6: About is those small medium.

1276
01:01:20,880 --> 01:01:25,320
Speaker 9: Sized businesses that Amazon has partnered with for many years.

1277
01:01:25,600 --> 01:01:29,200
Speaker 9: Sixty percent of our web sales are actually coming from

1278
01:01:29,240 --> 01:01:32,720
Speaker 9: these independent sellers. They sold over four point one billion

1279
01:01:32,880 --> 01:01:37,280
Speaker 9: products and twenty twenty two alone. So this is a

1280
01:01:37,280 --> 01:01:39,720
Speaker 9: great commitment that Amazon's making to small.

1281
01:01:39,560 --> 01:01:42,640
Speaker 6: Medium sized businesses to enable.

1282
01:01:42,480 --> 01:01:44,840
Speaker 9: Us to be able to deliver your packages to the porch,

1283
01:01:45,520 --> 01:01:48,120
Speaker 9: whether it's snow or a wonderful sunny day.

1284
01:01:48,240 --> 01:01:52,200
Speaker 2: And Baker, vice president Global Transportation Services and Global Mile

1285
01:01:52,320 --> 01:01:55,120
Speaker 2: at Amazon, and how you get your stuff so damn quick,

1286
01:01:55,480 --> 01:01:58,000
Speaker 2: especially when there's high demand and weather events here too.

1287
01:01:58,120 --> 01:02:01,160
Speaker 2: The inner workings of Amazon, which to CVG, They've got

1288
01:02:01,160 --> 01:02:03,600
Speaker 2: twelve flights a day now going out. That's the state

1289
01:02:03,640 --> 01:02:06,120
Speaker 2: of the art facility, and I expect more to come

1290
01:02:06,160 --> 01:02:09,080
Speaker 2: because of our location the efficiency here in the Cincinnati area.

1291
01:02:09,120 --> 01:02:11,400
Speaker 3: Adam all the best, Thanks for taking time out. Appreciate you.

1292
01:02:11,600 --> 01:02:13,800
Speaker 6: Thank you very much, and I appreciate being on the show.

1293
01:02:14,200 --> 01:02:16,160
Speaker 2: Mary Christmas Adam. Yeah, I just kind of take it

1294
01:02:16,160 --> 01:02:19,240
Speaker 2: for grant. Stuff shows up behind the scenes of Amazon.

1295
01:02:19,360 --> 01:02:21,960
Speaker 2: Now you throw ups and FedEx in there, But to Amazon,

1296
01:02:22,400 --> 01:02:26,080
Speaker 2: that entire operation is just so mind blowing. The complex

1297
01:02:26,440 --> 01:02:28,080
Speaker 2: you just can't get you wrap your arm around it.

1298
01:02:28,080 --> 01:02:31,240
Speaker 2: How many packages and how they know stuff's getting delayed.

1299
01:02:31,440 --> 01:02:32,840
Speaker 2: I think it's a model for everybody else. Like, wait,

1300
01:02:32,880 --> 01:02:35,040
Speaker 2: Amazon can tell I got a like that torch wrench

1301
01:02:35,040 --> 01:02:36,640
Speaker 2: you mentioned, I got a torch wrench come and I

1302
01:02:36,640 --> 01:02:38,320
Speaker 2: can say where in the world it is when it's

1303
01:02:38,360 --> 01:02:40,600
Speaker 2: been delivered. Hell, I got to keep out of my

1304
01:02:40,640 --> 01:02:44,560
Speaker 2: garage loss the Amazon driver that puts things in my garage.

1305
01:02:44,920 --> 01:02:46,320
Speaker 2: You know, the only thing I got to worry about

1306
01:02:46,360 --> 01:02:48,560
Speaker 2: is not running or over when I pull in. It's

1307
01:02:48,560 --> 01:02:51,400
Speaker 2: pretty cool, pretty damn cool how the stuff gets to

1308
01:02:51,600 --> 01:02:55,400
Speaker 2: your house from Santa's workshop. Now, you know Scott Sloan

1309
01:02:55,480 --> 01:02:57,880
Speaker 2: show on seven hundred WLW, Cincinnati.

1310
01:02:58,000 --> 01:02:59,640
Speaker 3: More than a few of our patients have talked to

1311
01:02:59,640 --> 01:03:02,240
Speaker 3: me about their first time. But it's not the first time.

1312
01:03:02,320 --> 01:03:03,520
Speaker 3: You're probably thinking.

1313
01:03:03,280 --> 01:03:05,640
Speaker 10: Of, man, how to make it, how to keep it

1314
01:03:05,880 --> 01:03:12,600
Speaker 10: and how to keep others off your stats. This is

1315
01:03:12,680 --> 01:03:14,640
Speaker 10: all worth advice with Andy Shaeffer.

1316
01:03:15,040 --> 01:03:17,280
Speaker 3: All right, we're gonna put the lid on twenty twenty.

1317
01:03:17,320 --> 01:03:19,920
Speaker 2: What is this twenty twenty twenty, nineteen, twenty eight twenty.

1318
01:03:20,080 --> 01:03:21,760
Speaker 3: I'm not sure what year it is, but I know

1319
01:03:21,800 --> 01:03:24,240
Speaker 3: that the year's almost over. I know that, Andy Shaeffer.

1320
01:03:24,240 --> 01:03:24,880
Speaker 3: How are you, brother?

1321
01:03:25,120 --> 01:03:27,680
Speaker 11: I'm doing great. Christmas is ready for the family. We're

1322
01:03:27,720 --> 01:03:30,040
Speaker 11: just kind of settling in and looking forward to the holidays.

1323
01:03:30,120 --> 01:03:30,320
Speaker 6: Yeah.

1324
01:03:30,320 --> 01:03:32,280
Speaker 2: So you get gold bullyon again for the kids, and

1325
01:03:32,440 --> 01:03:35,240
Speaker 2: some of us get the chocolate coins. You know that

1326
01:03:35,280 --> 01:03:37,120
Speaker 2: you open it, you actually put the real gold coins

1327
01:03:37,120 --> 01:03:37,720
Speaker 2: in the stockings.

1328
01:03:37,760 --> 01:03:38,960
Speaker 3: I like that about you.

1329
01:03:39,000 --> 01:03:41,960
Speaker 11: No, I usually do. I'll do some lottery tickets for

1330
01:03:42,000 --> 01:03:43,880
Speaker 11: my nieces and nephews though, you know, try to get

1331
01:03:43,880 --> 01:03:44,680
Speaker 11: them started a little bit.

1332
01:03:44,680 --> 01:03:47,040
Speaker 2: That's always fucking I try to turn them into the

1333
01:03:47,040 --> 01:03:47,880
Speaker 2: degenerates early.

1334
01:03:47,920 --> 01:03:48,240
Speaker 3: I love it.

1335
01:03:48,280 --> 01:03:48,800
Speaker 6: That's right.

1336
01:03:51,080 --> 01:03:53,080
Speaker 2: Before you go, speaking of a holiday, I saw holiday

1337
01:03:53,080 --> 01:03:55,960
Speaker 2: spending numbers up four percent over four percent.

1338
01:03:55,960 --> 01:03:57,800
Speaker 3: I think year over year. That's good? Is that normally

1339
01:03:57,800 --> 01:03:58,280
Speaker 3: where we are?

1340
01:03:58,760 --> 01:03:59,040
Speaker 6: Yeah?

1341
01:03:59,120 --> 01:04:00,880
Speaker 11: I mean, you know, you you get a little bit

1342
01:04:00,880 --> 01:04:03,120
Speaker 11: of a Santa claus rally as far as spending is concerned,

1343
01:04:03,160 --> 01:04:05,280
Speaker 11: and that's seasonal, and you know that's usually what we

1344
01:04:05,400 --> 01:04:08,080
Speaker 11: see and so you know, part of the challenge for

1345
01:04:08,200 --> 01:04:11,040
Speaker 11: me is really trying to understand the data and try

1346
01:04:11,080 --> 01:04:13,600
Speaker 11: to take the seasonality out of it and understand what

1347
01:04:13,640 --> 01:04:15,400
Speaker 11: the numbers really tell us. So it's a little bit

1348
01:04:15,480 --> 01:04:17,560
Speaker 11: murky to try to figure out where we are from

1349
01:04:17,560 --> 01:04:18,640
Speaker 11: an economic standpoint.

1350
01:04:18,920 --> 01:04:20,720
Speaker 2: So but yeah, yeah, I mean spending is always up

1351
01:04:20,760 --> 01:04:22,600
Speaker 2: this time of year. All right, good, now what we

1352
01:04:22,640 --> 01:04:26,160
Speaker 2: want for sure? This year has been absolutely nothing short

1353
01:04:26,160 --> 01:04:27,840
Speaker 2: of incredible, I think and borring.

1354
01:04:27,840 --> 01:04:29,400
Speaker 3: You know, we just have a few days left here.

1355
01:04:30,000 --> 01:04:32,080
Speaker 2: God knows what could happen, and you never want to

1356
01:04:32,120 --> 01:04:33,880
Speaker 2: say it's impossible to screw this up.

1357
01:04:33,880 --> 01:04:35,600
Speaker 3: But another great year for the market.

1358
01:04:36,560 --> 01:04:38,560
Speaker 11: It's been fabulous, and you know, we did have a

1359
01:04:38,600 --> 01:04:41,120
Speaker 11: hiccup in April. Obviously, there was some fears about the

1360
01:04:41,160 --> 01:04:43,560
Speaker 11: tariffs when Donald Trump announced that he was going to

1361
01:04:43,640 --> 01:04:46,080
Speaker 11: place tarrifs on you know a lot of the countries

1362
01:04:46,080 --> 01:04:47,720
Speaker 11: that we do a lot of business with, and that

1363
01:04:47,840 --> 01:04:49,840
Speaker 11: was short lived. And the reason that it was short

1364
01:04:49,840 --> 01:04:53,280
Speaker 11: lived was that we started to see some flexibility from

1365
01:04:53,320 --> 01:04:55,840
Speaker 11: the Trump administration as far as deadlines were concerned on

1366
01:04:55,840 --> 01:04:58,520
Speaker 11: the tariffs in April, and so the market fell very sharply,

1367
01:04:58,880 --> 01:05:01,520
Speaker 11: but it came back sharply. Ever since then, we've been

1368
01:05:01,600 --> 01:05:03,960
Speaker 11: slow and steady. You know, we've had some you know,

1369
01:05:04,000 --> 01:05:06,160
Speaker 11: inflation data that has started to cool a little bit.

1370
01:05:06,200 --> 01:05:09,080
Speaker 11: The jobs data has been a little bit sketchy, but

1371
01:05:09,400 --> 01:05:12,720
Speaker 11: not super bad. And so because of that, you know,

1372
01:05:12,760 --> 01:05:15,920
Speaker 11: investors generally have felt pretty good about where we are

1373
01:05:15,960 --> 01:05:18,240
Speaker 11: from an economic standpoint, and the markets have reflected that.

1374
01:05:18,320 --> 01:05:20,480
Speaker 2: Yeah, if you look at that year, you know, January

1375
01:05:20,520 --> 01:05:22,720
Speaker 2: to January chart you every year, it's pretty much a

1376
01:05:22,720 --> 01:05:23,200
Speaker 2: hockey stack.

1377
01:05:24,160 --> 01:05:25,840
Speaker 11: Yeah, I mean it's been great and I think you know,

1378
01:05:25,880 --> 01:05:28,120
Speaker 11: that's a lesson for every investor. You know, there's going

1379
01:05:28,200 --> 01:05:31,240
Speaker 11: to be some tumultuous times. We usually see a correction

1380
01:05:31,400 --> 01:05:34,280
Speaker 11: on average once per year, and a correction is a

1381
01:05:34,280 --> 01:05:37,840
Speaker 11: ten percent downturn in the market in any given year,

1382
01:05:38,000 --> 01:05:40,440
Speaker 11: and that's fairly common. So if you stay the course,

1383
01:05:40,880 --> 01:05:44,000
Speaker 11: you're disciplined with your investment approach, maybe make some small

1384
01:05:44,000 --> 01:05:46,800
Speaker 11: adjustments to certain sectors, you're gonna be fine.

1385
01:05:46,920 --> 01:05:48,400
Speaker 3: Yeah, you mentioned tariffs.

1386
01:05:49,240 --> 01:05:52,080
Speaker 2: Grand picture as we close out the year, so we're

1387
01:05:52,080 --> 01:05:55,520
Speaker 2: almost a year of tariffs at this point mixed bag.

1388
01:05:55,560 --> 01:05:57,200
Speaker 3: I mean, has it done anything? Is it doing what?

1389
01:05:57,560 --> 01:05:59,920
Speaker 2: It certainly doesn't seem like, you know, the sky fell,

1390
01:06:00,160 --> 01:06:01,960
Speaker 2: But at the same time, it didn't accomplish the goals

1391
01:06:02,000 --> 01:06:03,520
Speaker 2: that they wanted in the first place. It just seems

1392
01:06:03,560 --> 01:06:06,360
Speaker 2: like we're trading money, you know, on the form of

1393
01:06:06,440 --> 01:06:09,600
Speaker 2: taxes to rebates and handouts.

1394
01:06:09,600 --> 01:06:10,960
Speaker 3: So did we do anything?

1395
01:06:11,280 --> 01:06:13,040
Speaker 11: Well, I think it remains to be seen, you know,

1396
01:06:13,240 --> 01:06:15,760
Speaker 11: with anything, I think it's going to take some time

1397
01:06:15,840 --> 01:06:18,360
Speaker 11: to figure out and unwind and you know, kind of

1398
01:06:18,360 --> 01:06:20,560
Speaker 11: look under the hood and see how it has affected

1399
01:06:20,560 --> 01:06:23,280
Speaker 11: the economy in general. Now, you know, when we look

1400
01:06:23,320 --> 01:06:25,520
Speaker 11: at inflation, the fear was is that it was going

1401
01:06:25,560 --> 01:06:27,360
Speaker 11: to fire up inflation. You know, if the cost of

1402
01:06:27,400 --> 01:06:30,200
Speaker 11: goods is going to increase due to the tariffs, then

1403
01:06:30,240 --> 01:06:33,200
Speaker 11: that's going to hurt the pocketbook of you know, the

1404
01:06:33,280 --> 01:06:35,760
Speaker 11: US consumer prices are going to continue to rise. And

1405
01:06:35,800 --> 01:06:38,960
Speaker 11: what we've heard from the FED is that essentially, hey,

1406
01:06:39,000 --> 01:06:41,200
Speaker 11: this is probably going to be a one off. Our

1407
01:06:41,560 --> 01:06:45,280
Speaker 11: economy is fairly robust. It probably won't have a long

1408
01:06:45,400 --> 01:06:48,080
Speaker 11: term impact on inflation. And that's really what has bared

1409
01:06:48,120 --> 01:06:50,000
Speaker 11: out when we look at the rest of the year. Now,

1410
01:06:50,040 --> 01:06:52,680
Speaker 11: as far as you know, what does it look like

1411
01:06:52,760 --> 01:06:55,240
Speaker 11: as far as industry here in the United States, Does

1412
01:06:55,360 --> 01:06:57,920
Speaker 11: it really move the needle as far as income is

1413
01:06:57,960 --> 01:07:00,840
Speaker 11: concerned from the tax revenue that we get. That remains

1414
01:07:00,840 --> 01:07:03,400
Speaker 11: to be seen. But I do think that one of

1415
01:07:03,440 --> 01:07:07,400
Speaker 11: the long term benefits that we may see is access

1416
01:07:07,480 --> 01:07:10,400
Speaker 11: to other markets within the world. You know, part of

1417
01:07:10,400 --> 01:07:14,480
Speaker 11: the reason that the Trump administration wanted to increase terraff

1418
01:07:14,720 --> 01:07:16,800
Speaker 11: on you know a lot of our trading partners is

1419
01:07:16,800 --> 01:07:19,320
Speaker 11: that we really just kind of want access to their markets.

1420
01:07:19,360 --> 01:07:21,360
Speaker 11: If Ford is able to sell F one fifties here

1421
01:07:21,400 --> 01:07:23,480
Speaker 11: in the United States, we want to be able to

1422
01:07:23,480 --> 01:07:26,320
Speaker 11: sell F one fifties over in China and Europe and

1423
01:07:26,360 --> 01:07:28,920
Speaker 11: things like that. And so it's not as much about

1424
01:07:28,920 --> 01:07:32,160
Speaker 11: the revenue that we're able to generate from it or

1425
01:07:32,720 --> 01:07:35,040
Speaker 11: protecting our industry here in the United States. It's more

1426
01:07:35,080 --> 01:07:38,000
Speaker 11: about being able to sell our stuff to countries that

1427
01:07:38,120 --> 01:07:40,959
Speaker 11: sell stuff to US, I think, and I think that

1428
01:07:41,040 --> 01:07:42,919
Speaker 11: we have seen a little bit of an impact there

1429
01:07:42,920 --> 01:07:44,760
Speaker 11: and hopefully it will open up markets for US.

1430
01:07:44,800 --> 01:07:46,240
Speaker 2: Well, hopefully it does too. It just seems like it's

1431
01:07:46,280 --> 01:07:47,919
Speaker 2: a wash. You know, it's hard to and it's it's

1432
01:07:47,920 --> 01:07:50,160
Speaker 2: one of those things. I mean, you're basically changing the

1433
01:07:50,160 --> 01:07:51,680
Speaker 2: way we've done things for a long time. So it's

1434
01:07:51,720 --> 01:07:55,320
Speaker 2: going to take much much longer in order to see success,

1435
01:07:55,360 --> 01:07:57,800
Speaker 2: if that's the case. But we are not patient as Americans,

1436
01:07:57,800 --> 01:07:59,720
Speaker 2: and so we'll see what the next of your brains.

1437
01:08:00,240 --> 01:08:02,960
Speaker 2: I know, we finally got some updated consumer inflation reports.

1438
01:08:02,960 --> 01:08:05,000
Speaker 2: A CPI is finally out after the government shutdown.

1439
01:08:05,400 --> 01:08:07,400
Speaker 11: Yeah, but it was a little bit murky. I do

1440
01:08:07,440 --> 01:08:09,520
Speaker 11: think there was a step in the right direction. Year

1441
01:08:09,560 --> 01:08:13,600
Speaker 11: of ear inflation showed, you know, about two point six percent.

1442
01:08:14,160 --> 01:08:16,720
Speaker 11: That was a decrease from two point seven percent, its

1443
01:08:16,800 --> 01:08:20,240
Speaker 11: lowest since twenty twenty one, and so investors were happy

1444
01:08:20,280 --> 01:08:22,519
Speaker 11: to see, you know, at least the arrow is pointing

1445
01:08:22,520 --> 01:08:25,800
Speaker 11: in the right direction as far as inflation is current concerned. Now,

1446
01:08:26,400 --> 01:08:28,559
Speaker 11: the problem is is that we didn't get a lot

1447
01:08:28,600 --> 01:08:31,760
Speaker 11: of the price data for October. The November collection was

1448
01:08:31,800 --> 01:08:34,760
Speaker 11: partially delayed till later in the month because of the

1449
01:08:34,760 --> 01:08:37,360
Speaker 11: government shutdown, So a lot of the information that the

1450
01:08:37,400 --> 01:08:40,400
Speaker 11: FED was using was carry forward from a lot of

1451
01:08:40,439 --> 01:08:43,040
Speaker 11: the values that we had prior to the government shutdown,

1452
01:08:43,160 --> 01:08:45,960
Speaker 11: So it is full of anomalies. The November year of

1453
01:08:46,000 --> 01:08:50,719
Speaker 11: the year data likely understates the true underlying price of inflation,

1454
01:08:50,880 --> 01:08:54,160
Speaker 11: but don't. But we're not dismissing it. It is showing

1455
01:08:54,240 --> 01:08:56,320
Speaker 11: a lot better than what we expected, and it is

1456
01:08:56,360 --> 01:08:58,360
Speaker 11: coming down and the FED feels pretty good about it,

1457
01:08:58,479 --> 01:09:00,000
Speaker 11: and that's why we cut rates in December.

1458
01:09:00,040 --> 01:09:02,559
Speaker 2: All Right, how much of data starting to stream back

1459
01:09:02,600 --> 01:09:04,920
Speaker 2: in the faucet's been turned back on after the shutdown.

1460
01:09:04,920 --> 01:09:06,840
Speaker 2: But how much stuff are we getting in right now?

1461
01:09:06,920 --> 01:09:07,040
Speaker 6: Is it?

1462
01:09:07,160 --> 01:09:07,200
Speaker 5: Is?

1463
01:09:07,200 --> 01:09:10,080
Speaker 2: It kind of hard to read because the numbers are sowingconsistent.

1464
01:09:10,680 --> 01:09:13,040
Speaker 11: Yeah, but it's it's like putting a puzzle together. You know,

1465
01:09:13,080 --> 01:09:16,200
Speaker 11: we're able to get enough data from the private sector

1466
01:09:16,280 --> 01:09:18,160
Speaker 11: to where we can kind of piece together with the

1467
01:09:18,160 --> 01:09:20,880
Speaker 11: puzzle to be able to find out, you know, what

1468
01:09:21,040 --> 01:09:23,160
Speaker 11: is really happening. But it is, I mean, we are

1469
01:09:23,200 --> 01:09:25,840
Speaker 11: missing some data. Last week, you know, we had some

1470
01:09:26,040 --> 01:09:28,280
Speaker 11: labor market data. It was the first labor market data

1471
01:09:28,280 --> 01:09:30,080
Speaker 11: that we had in a few months, and so similar

1472
01:09:30,120 --> 01:09:32,920
Speaker 11: to the CPI release, that update was messy as well.

1473
01:09:33,000 --> 01:09:35,200
Speaker 11: We had employers shed a total of one hundred and

1474
01:09:35,280 --> 01:09:38,479
Speaker 11: five thousand jobs in October. We added sixty four thousand

1475
01:09:38,600 --> 01:09:41,120
Speaker 11: jobs in November. Those numbers are a little bit more

1476
01:09:41,200 --> 01:09:44,599
Speaker 11: volatile than the underlying data shows, because most of that

1477
01:09:44,800 --> 01:09:48,520
Speaker 11: data was entirely by one hundred and sixty two thousand

1478
01:09:49,439 --> 01:09:53,960
Speaker 11: drop decline in the federal government employ employment range, and

1479
01:09:54,040 --> 01:09:56,920
Speaker 11: so when you look at the private sector, it was

1480
01:09:56,960 --> 01:09:59,479
Speaker 11: more stable. We added fifty two thousand jobs in October

1481
01:09:59,479 --> 01:10:02,160
Speaker 11: and another sixty nine thousand jobs in November, and that's

1482
01:10:02,160 --> 01:10:04,160
Speaker 11: what I'm talking about. We kind of have to look

1483
01:10:04,200 --> 01:10:07,240
Speaker 11: at the private sector because obviously the government sector was

1484
01:10:07,240 --> 01:10:09,120
Speaker 11: a little bit skewed due to the shutdown. And when

1485
01:10:09,120 --> 01:10:11,439
Speaker 11: we do look at the private sector, it shows that

1486
01:10:11,520 --> 01:10:14,599
Speaker 11: things are not great, but they're not terrible either.

1487
01:10:14,720 --> 01:10:17,759
Speaker 2: All right, So inflation down a tick from two seven

1488
01:10:17,800 --> 01:10:19,479
Speaker 2: to two six. The target, of course, or the FED

1489
01:10:19,520 --> 01:10:22,320
Speaker 2: has always been two and that's extremely sticky right now.

1490
01:10:22,600 --> 01:10:24,679
Speaker 2: And I'm sure Wall Street lights it the numbers going down,

1491
01:10:25,120 --> 01:10:29,240
Speaker 2: but to me, that's one of the number of indicators

1492
01:10:29,280 --> 01:10:31,439
Speaker 2: we have where there's a disconnect between Wall Street and

1493
01:10:31,479 --> 01:10:34,400
Speaker 2: Main Street. Most people don't notice what point one percent

1494
01:10:34,600 --> 01:10:36,759
Speaker 2: is in play. They know they're paying more for stuff

1495
01:10:36,760 --> 01:10:40,519
Speaker 2: at the grocery store. When that starts to turn, then

1496
01:10:40,560 --> 01:10:42,479
Speaker 2: I think you got probably a lot more consumer confidence.

1497
01:10:42,520 --> 01:10:43,320
Speaker 3: That's how works.

1498
01:10:43,640 --> 01:10:45,600
Speaker 11: Yeah, that's how it works. But we also have to

1499
01:10:45,680 --> 01:10:48,200
Speaker 11: understand what wage growth is too, and what we're seeing

1500
01:10:48,240 --> 01:10:51,479
Speaker 11: is there is a net positive in wage growth inflation.

1501
01:10:51,560 --> 01:10:54,200
Speaker 11: So if inflation is up two point six percent, that

1502
01:10:54,280 --> 01:10:57,240
Speaker 11: obviously means that, you know, the cost of goods continues

1503
01:10:57,280 --> 01:11:00,839
Speaker 11: to increase. And I always want to communicate my clients

1504
01:11:00,840 --> 01:11:03,680
Speaker 11: and my friends and say, hey, you know, inflation is

1505
01:11:03,720 --> 01:11:05,760
Speaker 11: not when it comes down, it's not a decrease in

1506
01:11:05,800 --> 01:11:09,200
Speaker 11: the prices. It's an increase less slowly. But if your

1507
01:11:09,360 --> 01:11:12,840
Speaker 11: wages continue to increase at a more rapid pace than

1508
01:11:12,880 --> 01:11:15,880
Speaker 11: the cost of goods, and so that leads to more

1509
01:11:15,920 --> 01:11:18,120
Speaker 11: of a net positive gain for the consumer. And that's

1510
01:11:18,160 --> 01:11:19,920
Speaker 11: what we're seeing right now. We're starting to see wage

1511
01:11:19,960 --> 01:11:23,799
Speaker 11: growth continue to increase, We're starting to see inflation decrease,

1512
01:11:23,840 --> 01:11:26,920
Speaker 11: and ultimately it makes things more affordable for the consumer. Now,

1513
01:11:27,280 --> 01:11:29,479
Speaker 11: you know, I know generally when you talk to people

1514
01:11:29,479 --> 01:11:31,759
Speaker 11: out on the street and I talk to friends and clients,

1515
01:11:31,760 --> 01:11:34,360
Speaker 11: and it doesn't feel like that, but the numbers beare

1516
01:11:34,400 --> 01:11:36,599
Speaker 11: it out, and the numbers do suggest that the consumer

1517
01:11:36,640 --> 01:11:39,320
Speaker 11: is a lot more healthy today than we wore five

1518
01:11:39,360 --> 01:11:39,720
Speaker 11: years ago.

1519
01:11:39,760 --> 01:11:42,200
Speaker 2: All right, shafers On from all Worth financial Sloan here

1520
01:11:42,200 --> 01:11:46,479
Speaker 2: seven hundred last session of the year between the two

1521
01:11:46,520 --> 01:11:48,040
Speaker 2: of us in here, and it's been a great year

1522
01:11:48,080 --> 01:11:51,639
Speaker 2: for the stock market. Of course, inflation is sticky, and

1523
01:11:52,000 --> 01:11:54,200
Speaker 2: maybe that will start to turn here with the with

1524
01:11:54,280 --> 01:11:55,600
Speaker 2: the interest rates dropping and the like.

1525
01:11:55,640 --> 01:11:57,599
Speaker 3: What about job data right now? Where are things looking?

1526
01:11:58,040 --> 01:12:01,040
Speaker 11: Yeah, the unemployment rate is rose risen to about four

1527
01:12:01,080 --> 01:12:03,960
Speaker 11: point five six percent in November. That's up from four

1528
01:12:04,000 --> 01:12:07,479
Speaker 11: point four percent in September. Again, we didn't have October

1529
01:12:07,560 --> 01:12:10,160
Speaker 11: unemployment rate due to the shutdown, and so the increase

1530
01:12:10,240 --> 01:12:12,920
Speaker 11: isn't not a result of people losing their jobs. It's

1531
01:12:12,920 --> 01:12:16,240
Speaker 11: mostly due to over three hundred thousand people entering the

1532
01:12:16,280 --> 01:12:18,760
Speaker 11: labor force to find a job. And so while the

1533
01:12:18,800 --> 01:12:22,040
Speaker 11: labor market continues to be characterized as cooling, it's not crashing.

1534
01:12:22,320 --> 01:12:24,400
Speaker 11: This isn't shouldn't be a shock to a lot of people.

1535
01:12:25,080 --> 01:12:27,639
Speaker 11: Interest rates have been very restrictive over the past three years,

1536
01:12:27,640 --> 01:12:30,040
Speaker 11: and the rates have moved closer than neutral, and so

1537
01:12:30,120 --> 01:12:32,800
Speaker 11: that's the job market will likely stabilize or you know,

1538
01:12:32,880 --> 01:12:35,240
Speaker 11: over the next year, because we're going to continue to

1539
01:12:35,720 --> 01:12:38,160
Speaker 11: decrease rates. I do think that we'll probably see two

1540
01:12:38,240 --> 01:12:40,720
Speaker 11: quarter percent cuts next year. And maybe even three, and

1541
01:12:40,760 --> 01:12:42,439
Speaker 11: that will help the labor market as well. So I

1542
01:12:42,479 --> 01:12:45,040
Speaker 11: think the FED is feeling pretty good about where we are.

1543
01:12:46,080 --> 01:12:49,160
Speaker 11: You know, things aren't rosy right now, but they're not bad.

1544
01:12:49,280 --> 01:12:51,439
Speaker 11: The porridge isn't hot, it's not cold. I think the

1545
01:12:51,439 --> 01:12:54,240
Speaker 11: porridge is just right. And I think that the investors

1546
01:12:54,320 --> 01:12:56,760
Speaker 11: that are looking at the stock market feel that, and

1547
01:12:56,800 --> 01:12:58,559
Speaker 11: that's why the market has done well. And if you've

1548
01:12:58,560 --> 01:13:01,360
Speaker 11: been participating in the market, been very pleased with returns

1549
01:13:01,360 --> 01:13:03,599
Speaker 11: this year, and I suspect that we'll continue on into

1550
01:13:03,680 --> 01:13:04,800
Speaker 11: twenty twenty six.

1551
01:13:04,960 --> 01:13:05,480
Speaker 3: Yeah.

1552
01:13:05,560 --> 01:13:09,360
Speaker 2: I saw that crypto took a hit, specifically bitcoin, but

1553
01:13:09,360 --> 01:13:11,599
Speaker 2: at the same time, gold and silver hit record highs

1554
01:13:11,600 --> 01:13:12,080
Speaker 2: this week.

1555
01:13:12,800 --> 01:13:15,679
Speaker 11: Well, I think gold and silvers have hit record highs

1556
01:13:15,720 --> 01:13:18,400
Speaker 11: a lot of due to the fact of the uncertainty.

1557
01:13:18,520 --> 01:13:22,439
Speaker 11: Usually precious metals are investments that investors will flee to

1558
01:13:22,960 --> 01:13:26,759
Speaker 11: if they're uncertain about you know, the markets in general,

1559
01:13:26,880 --> 01:13:29,880
Speaker 11: and you know how companies are performing. And because of

1560
01:13:29,920 --> 01:13:31,559
Speaker 11: the uncertainty, I think a lot of it has to

1561
01:13:31,560 --> 01:13:35,120
Speaker 11: do with the Trump administration and you know the volatility there.

1562
01:13:35,280 --> 01:13:37,120
Speaker 11: I think a lot of people have started investing his

1563
01:13:37,200 --> 01:13:39,760
Speaker 11: gold as a safety net, and so you know, when

1564
01:13:39,760 --> 01:13:42,439
Speaker 11: we look at the safety nets that you have access

1565
01:13:42,479 --> 01:13:47,000
Speaker 11: to gold has been very popular. Furthermore, Costco even you know,

1566
01:13:47,080 --> 01:13:50,160
Speaker 11: opened up a lot of gold opportunities for investors, and

1567
01:13:50,200 --> 01:13:54,360
Speaker 11: I think it made it more not only accessible for investors,

1568
01:13:54,360 --> 01:13:57,000
Speaker 11: but also you know, you know, kind of endearing. And

1569
01:13:57,400 --> 01:13:59,559
Speaker 11: we've seen a lot of people invest in gold and

1570
01:13:59,640 --> 01:14:01,719
Speaker 11: it's form very well during these folatile times.

1571
01:14:01,760 --> 01:14:03,760
Speaker 2: Now, the capo coscos you get buy twenty of them,

1572
01:14:03,800 --> 01:14:04,920
Speaker 2: you just can't buy one.

1573
01:14:05,200 --> 01:14:07,520
Speaker 3: Yeah, well, and then you end up buying tires.

1574
01:14:07,240 --> 01:14:10,599
Speaker 2: And yeah, yeah, the money I'm investing in saving I'm

1575
01:14:10,600 --> 01:14:11,040
Speaker 2: losing on.

1576
01:14:11,160 --> 01:14:14,240
Speaker 3: Oh look, I have a fifty five gallon drum a mayonnaise.

1577
01:14:14,280 --> 01:14:15,439
Speaker 3: Why not let me load that in.

1578
01:14:17,080 --> 01:14:19,439
Speaker 2: This is an interesting one and it hits close to

1579
01:14:19,479 --> 01:14:22,599
Speaker 2: us here Jim Beam pausing production for an entire year

1580
01:14:22,640 --> 01:14:25,080
Speaker 2: and get their plants in Kentucky because they have an.

1581
01:14:25,000 --> 01:14:26,120
Speaker 3: Oversupply of bourbon.

1582
01:14:26,200 --> 01:14:28,360
Speaker 2: I thought those words would never ever be heard or

1583
01:14:28,439 --> 01:14:30,880
Speaker 2: utter from my lifts, but we have an oversupply bourbon shaver.

1584
01:14:31,280 --> 01:14:34,040
Speaker 3: Oh no, what are you gonna do?

1585
01:14:34,240 --> 01:14:38,559
Speaker 2: Well, let's go, boys, I mean, well that that actually

1586
01:14:38,600 --> 01:14:42,639
Speaker 2: gave me Gary Jeff Fingers, Come on, let's go let's go, Rocky,

1587
01:14:42,720 --> 01:14:43,799
Speaker 2: let's go we got.

1588
01:14:43,600 --> 01:14:45,320
Speaker 3: Well, maybe we got drinking to do well.

1589
01:14:45,320 --> 01:14:47,559
Speaker 11: Maybe we'll plant a trip together down on the Bourbon

1590
01:14:47,600 --> 01:14:49,680
Speaker 11: Trail like that to help them out. But you know,

1591
01:14:49,760 --> 01:14:53,320
Speaker 11: there has been a resurgence in the demand for bourbon,

1592
01:14:53,400 --> 01:14:56,440
Speaker 11: and you're starting to see a lot of demand internationally

1593
01:14:56,479 --> 01:14:59,439
Speaker 11: for bourbon. You know, you're starting to see it, you know,

1594
01:14:59,479 --> 01:15:01,559
Speaker 11: in Japan, in a lot of the Asian countries where

1595
01:15:01,560 --> 01:15:03,880
Speaker 11: there is an appetite for it, and so you know,

1596
01:15:03,920 --> 01:15:06,880
Speaker 11: hopefully that will fix itself. You know, it's really hard

1597
01:15:06,920 --> 01:15:09,439
Speaker 11: for small businesses, and those are small businesses. If you've

1598
01:15:09,479 --> 01:15:14,200
Speaker 11: ever been down to any of those distilleries down in Kentucky.

1599
01:15:14,120 --> 01:15:19,200
Speaker 11: They're not these giant, you know, megastructures and production plants.

1600
01:15:19,400 --> 01:15:21,320
Speaker 11: You know, they have a specific amount and so I

1601
01:15:21,320 --> 01:15:22,960
Speaker 11: think it's a challenge for them to figure out what

1602
01:15:23,000 --> 01:15:25,559
Speaker 11: the demand is and how much supply. And sometimes you

1603
01:15:25,560 --> 01:15:27,559
Speaker 11: can get over your skis a little bit, maybe produce

1604
01:15:27,600 --> 01:15:30,240
Speaker 11: a little bit more than what the demand is. But

1605
01:15:30,320 --> 01:15:32,120
Speaker 11: I think they'll work it, work it out. And I

1606
01:15:32,360 --> 01:15:34,599
Speaker 11: have all the confidence in the world Scott that you'll

1607
01:15:34,600 --> 01:15:37,800
Speaker 11: help them with that over supply. So you we'll see

1608
01:15:37,800 --> 01:15:38,400
Speaker 11: how it goes.

1609
01:15:38,280 --> 01:15:40,719
Speaker 2: Well, they're probably liking more than anything, the fact that

1610
01:15:40,520 --> 01:15:43,880
Speaker 2: our governor killed the entire THT beverage industry with a

1611
01:15:43,920 --> 01:15:44,599
Speaker 2: stroke of his pen.

1612
01:15:45,160 --> 01:15:45,400
Speaker 6: Yeah.

1613
01:15:45,439 --> 01:15:47,640
Speaker 11: I saw that, and I did really look into it

1614
01:15:47,680 --> 01:15:49,760
Speaker 11: as much. But you know, that doesn't make a whole

1615
01:15:49,760 --> 01:15:51,839
Speaker 11: lot of sense to me. I think that's more of

1616
01:15:51,840 --> 01:15:55,439
Speaker 11: a political posturing than anything else, because you know, at

1617
01:15:55,439 --> 01:15:57,800
Speaker 11: this point, you know, with a lot of the THHC

1618
01:15:57,920 --> 01:16:01,720
Speaker 11: regulation and the flexibility there, it makes sense that you

1619
01:16:01,960 --> 01:16:04,120
Speaker 11: kind of deregulate a little bit, you know, as far

1620
01:16:04,160 --> 01:16:06,960
Speaker 11: as those those beverages are concerned. I think you do

1621
01:16:07,040 --> 01:16:08,720
Speaker 11: have to keep an eye on it if you're a

1622
01:16:08,960 --> 01:16:12,000
Speaker 11: restaurant or a bar and how you distribute it and

1623
01:16:12,560 --> 01:16:15,320
Speaker 11: making sure that people aren't overserved in that regard, but

1624
01:16:15,439 --> 01:16:17,519
Speaker 11: that should be easy to do. So that didn't really

1625
01:16:17,520 --> 01:16:18,519
Speaker 11: make a whole lot of sense to me.

1626
01:16:18,720 --> 01:16:21,439
Speaker 2: Yeah, it's you know, it's it's appealing I guess maybe

1627
01:16:21,439 --> 01:16:22,880
Speaker 2: to the tee tollers out there who aren't going to

1628
01:16:22,960 --> 01:16:24,600
Speaker 2: drink anyway, but they don't want anyone else to do

1629
01:16:24,640 --> 01:16:27,120
Speaker 2: it either, Like whether it's gambling or strip clubs.

1630
01:16:27,160 --> 01:16:29,559
Speaker 3: I like boobies in bourbon. If you don't then't don't

1631
01:16:29,600 --> 01:16:30,639
Speaker 3: go well.

1632
01:16:30,680 --> 01:16:33,719
Speaker 11: And I remember when Lawrenceburg was getting their casino, remember

1633
01:16:33,720 --> 01:16:35,439
Speaker 11: thirty years ago, they thought it was going to be

1634
01:16:35,479 --> 01:16:38,839
Speaker 11: the end of that area. And and you know, it's

1635
01:16:39,400 --> 01:16:41,759
Speaker 11: a big resurgent. And kids are going to college based

1636
01:16:41,760 --> 01:16:44,200
Speaker 11: on you know, the gambling dime, and so there's a

1637
01:16:44,200 --> 01:16:46,599
Speaker 11: lot of positives there. And I don't think the world

1638
01:16:46,640 --> 01:16:48,479
Speaker 11: is going to fall apart just because somebody wants to

1639
01:16:48,479 --> 01:16:49,599
Speaker 11: go out and have a good time every once.

1640
01:16:49,720 --> 01:16:51,880
Speaker 2: Yeah, exactly right. I'm a responsible adult. And the reason

1641
01:16:51,880 --> 01:16:54,280
Speaker 2: why I drink is because of things like this. Andy Shaeffer,

1642
01:16:54,280 --> 01:16:58,120
Speaker 2: it all worth financial. He is their show airs weeknights

1643
01:16:58,160 --> 01:17:00,439
Speaker 2: at six on fifty five KR. See it's simply money.

1644
01:17:00,520 --> 01:17:02,639
Speaker 2: He pops on the show Tuesdays, last time for twenty

1645
01:17:02,680 --> 01:17:04,720
Speaker 2: twenty five. Brother, I appreciate it, man. It's been fun

1646
01:17:04,760 --> 01:17:05,160
Speaker 2: this year.

1647
01:17:05,320 --> 01:17:05,920
Speaker 11: Learn a lot.

1648
01:17:06,680 --> 01:17:08,160
Speaker 2: You're the best of what you do and I appreciate

1649
01:17:08,200 --> 01:17:09,800
Speaker 2: you guys so much. And hope you have a merry

1650
01:17:09,880 --> 01:17:12,559
Speaker 2: Christmas and happy New Year you too, Scott. Always enjoy it.

1651
01:17:12,560 --> 01:17:15,160
Speaker 2: Looking forward to twenty twenty six. Talking with you all right, brother,

1652
01:17:15,240 --> 01:17:17,080
Speaker 2: be good. Drink up, drink up, get some of that nog.

1653
01:17:17,960 --> 01:17:20,160
Speaker 2: We've got news update here in just minutes, and then

1654
01:17:20,200 --> 01:17:22,519
Speaker 2: it's a could be wheel of sub hosts for Bill

1655
01:17:22,560 --> 01:17:24,519
Speaker 2: CONNLESSI pops back in Toto, A show we like you

1656
01:17:24,560 --> 01:17:25,160
Speaker 2: did yesterday.

1657
01:17:25,200 --> 01:17:26,880
Speaker 3: I Gotta Talk, I Gotta speak.

1658
01:17:27,040 --> 01:17:30,080
Speaker 2: The American people made me, Now they really don't, Billy,

1659
01:17:30,080 --> 01:17:32,439
Speaker 2: seven hundred ww Cincinnati.

1660
01:17:34,800 --> 01:17:37,280
Speaker 10: Open up our live stream on the iHeartRadio app and

1661
01:17:37,320 --> 01:17:39,559
Speaker 10: take a look at the screen. You see that little

1662
01:17:39,600 --> 01:17:42,759
Speaker 10: red circle with the microphone on it. That's our talkback feature.

1663
01:17:43,200 --> 01:17:45,920
Speaker 10: Push it and send us your thoughts on the current topic,

1664
01:17:46,520 --> 01:17:49,920
Speaker 10: something you think we should discuss, or just let us

1665
01:17:49,920 --> 01:17:52,080
Speaker 10: know how much you can't live without us.

1666
01:17:52,640 --> 01:17:54,920
Speaker 3: Yeah, the talkback feature.

1667
01:17:55,160 --> 01:17:58,840
Speaker 10: Check it out on seven hundred wlwu's live stream on

1668
01:17:58,920 --> 01:18:01,840
Speaker 10: the iHeartRadio A running for