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Speaker 1: Can'tf I am six forty. You're listening to the John

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Speaker 1: Cobelt podcast on the iHeartRadio.

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Speaker 2: App John Coblt show. Mark Thompson sitting in for John.

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Speaker 2: Thank you for joining us with your resolutions with the

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Speaker 2: end of the year if you're just staggering to the

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Speaker 2: finish line. There is this that's happening in Santa Ana.

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Speaker 2: There's a new ordinance that wants to hold landlords accountable

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Speaker 2: for rent increases. But listen to what's happening and how

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Speaker 2: it spills back onto the renter. They have this rent

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Speaker 2: Stabilization and Just Cause Eviction Ordinance in Santa Ana. So

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Speaker 2: it now requires landlords to enter renter's information into an

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Speaker 2: online database and that keeps apartment owners in compliance to

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Speaker 2: make sure that they're you know, compliance a lot of

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Speaker 2: different ways. But the rental registration fee for the landlord

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Speaker 2: is one hundred dollars a unit every year, and the

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Speaker 2: way it's worded, the landlord is allowed to spin off

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Speaker 2: half of that cost onto the renter. So you're essentially

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Speaker 2: building a rent increase in although the landlord is not

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Speaker 2: getting the money, Santa Anna's getting the money. Renters are

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Speaker 2: getting letters from landlords saying that the city is implementing

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Speaker 2: new regulations for rental properties and to cover the incurred costs,

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Speaker 2: we will be quote implementing an annual nominal fee of

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Speaker 2: fifty dollars per tenant to contribute to the city's rental

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Speaker 2: registration fees. You know when renter says, if I knew

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Speaker 2: my landlord was going to come fix my stuff and everything,

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Speaker 2: then yeah, gladly. But if my landlord doesn't come fix

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Speaker 2: anything now, I'm going to pay fifty dollars after that,

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Speaker 2: I need the fifty dollars to fix stuff. The rental

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Speaker 2: registry launched in August, but the deadline now is December thirty.

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Speaker 3: First, that's why this is coming.

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Speaker 2: This is cresting this weekend law and lards have to

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Speaker 2: register each rental unit with tenant information. They have to

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Speaker 2: pay this one hundred dollars registry fee on each unit.

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Speaker 2: LA County has a similar ordance. They have a landlord

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Speaker 2: registry fee of ninety dollars a unit. So the idea

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Speaker 2: somehow that you can split it between the property owner

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Speaker 2: and the tenant. This is this creates problems, I mean,

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Speaker 2: especially if you know rents high enough. So that's the

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Speaker 2: controversy of the moment. Yet another burden, yet another cost,

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Speaker 2: said this advocate, who is a renter's advocate, Yet another

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Speaker 2: problem being put on property owners and impacting the lives

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Speaker 2: of thousands of tenants throughout Santa Ana. That money could

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Speaker 2: be much better spent improving the property, improving the opportunities

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Speaker 2: for these people. The quote goes on, I mean, you're

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Speaker 2: dealing with a lot of these units that are pretty

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Speaker 2: shady to begin with, meaning they need a lot of work.

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Speaker 2: You've got cabinets rotting, falling apart, just looking at some

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Speaker 2: of these accounts.

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Speaker 3: I mean, these are units that are challenged. You know.

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Speaker 2: Anyway, apartment owners have to register by December thirty first

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Speaker 2: they'll be late fees imposed otherwise. And now to this,

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Speaker 2: I mean, it's the fact the number of the nations

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Speaker 2: homeless that end up in California grew. Our homeless population

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Speaker 2: grew six percent, but the number overall nationally we get

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Speaker 2: what percentage of nationwide homeless in California. Think about it.

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Speaker 2: The answer is we get almost a third of the

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Speaker 2: entire nation's homeless population.

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Speaker 3: Here.

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Speaker 2: We spend billions on this effort to house people, to

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Speaker 2: get people get off the street, and we end up

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Speaker 2: with more and more in the way of the homeless population,

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Speaker 2: as I say, just grew six percent in the past year,

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Speaker 2: one hundred and eighty one thousand people, three in ten

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Speaker 2: unhoused people nationwide here in California. And I think those

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Speaker 2: who are everywhere in the nation end up in the

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Speaker 2: same place, right with drugs, mental health, economic stress all

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Speaker 2: being contributors, but our share of this is way out

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Speaker 2: of whack. The US homeless population increased by twelve percent

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Speaker 2: between twenty twenty two and twenty twenty three to more

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Speaker 2: than six hundred and fifty thousand people. That's in the

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Speaker 2: entire country. That's the highest total since they've been collecting

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Speaker 2: data in seven And with rising housing costs and you

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Speaker 2: know those pandemic emergency programs ending, you end up with

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Speaker 2: more people on the street. In the Bay Area, homelessness

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Speaker 2: increased just one percent in Santa Clara County, four percent

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Speaker 2: in Contracosta County that's the east part East Bay of

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Speaker 2: the San Francisco Bay Area, and declined in San Francisco

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Speaker 2: four percent. But other parts of the Bay Area up

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Speaker 2: north saw increases Alameda and San Mateo County. San Mateo

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Speaker 2: County is like the south of San Francisco, Alameda's the

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Speaker 2: East Bay, they jumped around twenty percent. Imagine a twenty

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Speaker 2: percent increase in a homelessness in those regions. Most counties

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Speaker 2: nationwide have estimates that continue upward. And so California, we're

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Speaker 2: the most populous US state, we have the most homeless residents,

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Speaker 2: and we're now near the top in terms of the

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Speaker 2: largest percentage increase in homeless population. The actual biggest spike

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Speaker 2: in homelessness nationwide is in a state that I would

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Speaker 2: not have guessed. If you asked me where the homeless

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Speaker 2: population LIKELI would have spiked. I would have guessed a

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Speaker 2: warm weather state. And yet the biggest percentage increase in

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Speaker 2: homelessness is in New Hampshire.

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Speaker 4: I was gonna say Vermont. Oh, oh, I think you

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Speaker 4: should get points anyway. Then all right, well yeah, I'll

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Speaker 4: take it. Followed by what state? Colorado?

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Speaker 3: I'm I want to give you points.

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Speaker 2: It's okay there, fourth place, New Mexico is what we

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Speaker 2: were looking for, Then New York, and then Colorado. So

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Speaker 2: California had the fourth highest rate of homelessness. We have

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Speaker 2: forty six unhoused people for every ten thousand residents. There

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Speaker 2: are different rules and different laws in all of these

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Speaker 2: different states, as we know, and if you care at

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Speaker 2: all about homelessness, meaning you may want to just get

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Speaker 2: it off the streets after that you don't care, or

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Speaker 2: you may care desperately about making sure that everybody has

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Speaker 2: every potential opportunity wherever you are on that spectrum. We

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Speaker 2: got to get this thing solved, right, and the problem

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Speaker 2: is that we have limitations as to what we can

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Speaker 2: do in terms of temporary housing shelters. There are different

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Speaker 2: laws in different states that allow police officers, for example,

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Speaker 2: to clear areas. Police officers here don't have quite the

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Speaker 2: latitude that they might elsewhere. And then there are other

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Speaker 2: states where police officers are you know, and when I

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Speaker 2: say police officer, I'm just talking about any official agency.

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Speaker 2: I mean a lot sadly is at the feet of

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Speaker 2: law enforcement. But whatever your take on it, we are

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Speaker 2: so invested in trying to cure this problem or at

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Speaker 2: least put a dent in this problem, and we don't

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Speaker 2: seem to do anything but just pay into this homeless

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Speaker 2: industrial complex. So many people getting fat off of this

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Speaker 2: immense amount of money that we pour into this problem.

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Speaker 2: And it's clearly a problem that we need to address

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Speaker 2: in different ways and with different strategies. I'm talking about

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Speaker 2: building out a mental health care system and building out

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Speaker 2: other temporary housing, more shelters. I mean, there's the Care program,

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Speaker 2: there's the Home Key program, and that's made you know,

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Speaker 2: I think they've made real strides. But still, if you

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Speaker 2: drive up and down the streets of LA you see

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Speaker 2: way too much in the way of homeless encampments and

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Speaker 2: tents and crazy. And there is a lot of crazy

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Speaker 2: of drug abuse in those areas. So that has to

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Speaker 2: be part of this problem. It's not just a housing crisis,

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Speaker 2: is the point. There's a lot more going on than

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Speaker 2: just that. So as we end this last year and

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Speaker 2: look ahead to the next year with new data showing

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Speaker 2: that almost a third of the nation's homeless now live

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Speaker 2: in California, I mean, we have to be inventive about

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Speaker 2: these strategies and we have to be aggressive about them too.

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Speaker 2: You are seeing communities destroyed by these immense homeless encampments.

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Speaker 3: It cannot go on when we come back.

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Speaker 2: A population boom in twenty twenty three, and what it

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Speaker 2: says about the future and nurses are now signing agreements

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Speaker 2: that they've decided to not only break, but to sue

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Speaker 2: to allow them to break.

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Speaker 3: That and more.

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Speaker 2: As we continue, John co Belt Show, Mark Thompson sitting

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Speaker 2: in for John and KFI AM six forty.

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Speaker 3: We're live everywhere on the iHeartRadio app.

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Speaker 5: You're listening to John Cobelt on demand from KFI AM

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Speaker 5: six forty.

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Speaker 2: Mark Thompson here for John Cobelt. John's in On Tuesday.

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Speaker 2: You can catch my little YouTube show. That's what I've

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Speaker 2: become now, little YouTube guy. It's called the Mark Thompson Show.

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Speaker 2: And you can go there. You can subscribe and it's free,

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Speaker 2: and if you subscribe, it weirdly helps me in some

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Speaker 2: way on down the road. I don't know. The more

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Speaker 2: subscribers you have, et cetera, you never have to listen.

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Speaker 2: Just keep listening right here to KFI AM six forty.

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Speaker 2: But if you can throw out yourself on YouTube for

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Speaker 2: a minute, you go, you subscribe to the Mark Thompson Show. Boom,

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Speaker 2: It's done, and then you never have to hear or

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Speaker 2: receive from me again.

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Speaker 3: You just come back here to KFI.

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Speaker 2: Okay, I will tell you that the world population, which

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Speaker 2: you knew was already let's say, overflowing, it is growing

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Speaker 2: grew by seventy five million in this past year, and

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Speaker 2: all of them are on the four h five. The growth,

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Speaker 2: though that we're going to see in the next year

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Speaker 2: will put US at more than eight billion. Actually, as

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Speaker 2: I look at these numbers, I'm just seeing world population

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Speaker 2: grew by seventy five million. I think we'll be at

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Speaker 2: eight billion by the weekend. Yeah, here it is right,

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Speaker 2: eight billion people. So we grew by seventy five million.

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Speaker 2: That puts US at eight billion. According to these figures

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Speaker 2: released by the US Census Bureau, the worldwide growth rate

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Speaker 2: in the past year was just under one percent at

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Speaker 2: the start of twenty twenty four. Every second brought four

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Speaker 2: point three berths and two deaths every second. The growth

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Speaker 2: rate for the US in the past year was less

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Speaker 2: than a percentage point. In fact, it was half a

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Speaker 2: percentage point. That's about half the worldwide figure. We had

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Speaker 2: one point seven million people added to our population, and

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Speaker 2: New Year's Day we'll have three hundred and thirty five

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Speaker 2: point eight million people living in the US. If this

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Speaker 2: current phase continues to the end of the decade, this

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Speaker 2: may be the slowest growing decade in US history. Yeah,

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Speaker 2: the twenty twenties could be the slowest growing decade in

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Speaker 2: our history, less than four percent growth rate over that

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Speaker 2: ten year period. The slowest growing decade right now. I

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Speaker 2: mean as you look back over the decades before. This

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Speaker 2: was the decade in the aftermath of the Great Depression

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Speaker 2: nineteen thirties, it was a seven point three percent growth rate.

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Speaker 2: So in the new year, every second, uh, there will

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Speaker 2: be one oh, okay, one berth every nine seconds, one

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Speaker 2: death every nine point five seconds. That's a nice thing

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Speaker 2: to focus on, isn't it. Yeah, huh, somebody else just died. Yeah,

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Speaker 2: it's in any case, immigration is what keeps this population

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Speaker 2: from dropping. So net international migration expected to add one

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Speaker 2: person that says here to the US every twenty eight

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Speaker 2: point three seconds.

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Speaker 3: So when you.

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Speaker 2: Add it all together, the birth, the magic of birth,

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Speaker 2: the sadness of death, and the reality of international migration,

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Speaker 2: you put it all together, you get out the dry

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Speaker 2: erase board, and the US population will increase by one

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Speaker 2: person every twenty five seconds. Now where does that leave

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Speaker 2: us just as a species? And where does that leave

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Speaker 2: the planet? I mean again, with seven point eight billion

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Speaker 2: people on the planet and the population on track to

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Speaker 2: hit ten point eight billion, the resources are definitely going

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Speaker 2: to be stressed. So there are more and more ways

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Speaker 2: to try to attack that, right, and I'm actually hopeful

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Speaker 2: that technology and some of the strategies that are associated

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Speaker 2: with sustainability actually might now for the first time, be

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Speaker 2: getting some traction and that even though we are stressing

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Speaker 2: the limits of this place, there are more and more

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Speaker 2: ways to lay down some kind of framework that might

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Speaker 2: provide for all of these new people, all of these

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Speaker 2: new mouths to feed. You know, one of the reasons

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Speaker 2: you've got such tremendous explosion in population is the mortality

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Speaker 2: rate in a lot of places is down right. I mean,

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Speaker 2: infant mortality rate has decreased substantially, and that's because of technology.

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Speaker 2: That's because of healthcare. And lifespans are increasing around the

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Speaker 2: world too, right, People are living longer, and that's because

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Speaker 2: of technology, that's because of healthcare. So and it's also

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Speaker 2: because of you know, underutilized contraception. There are a lot

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Speaker 2: of families in particularly emerging economies, that developing world as

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Speaker 2: they call it, that have huge families that honestly probably

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Speaker 2: shouldn't be that huge just in terms of the resources

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Speaker 2: needed to support that family, And sadly, in a lot

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Speaker 2: of these places women are not even allowed to go

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Speaker 2: to school.

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Speaker 3: So those are some of the realities.

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Speaker 2: But they're going to be strains on a lot of resources, food, water, housing, energy, healthcare, transportation.

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Speaker 2: All these things will require tremendous efforts on the part

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Speaker 2: of the developed world to try to bring everything back

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Speaker 2: up to speed. And as I say, I'm optimistic and

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Speaker 2: it's very possible that all of this could essentially be

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Speaker 2: made sustainable, but it's going to take really the will

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Speaker 2: of the world to do it. When we come back,

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Speaker 2: there's an agreement that many nurses were forced to sign

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Speaker 2: as they have taken on the nursing profession at various

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Speaker 2: companies and I include in home care, and they've decided

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Speaker 2: for a lot of reasons, they don't want to either

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Speaker 2: work at the company or stay in this country, or

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Speaker 2: for any number of reasons, they're dropping out of that

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Speaker 2: nursing world. There are lawsuit it's now to force them

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Speaker 2: to pay fines for the breaking of the agreement that

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Speaker 2: they signed. Originally it's called a stay or pay agreement,

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Speaker 2: and there is in a huge way a court case

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Speaker 2: to decide this. That and a new treatment for Alzheimer's

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Speaker 2: that is bizarre but maybe promising. We'll get into some

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Speaker 2: of that as we continue. Yes, we will do the

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Speaker 2: resolution thing, I promise, Yeah we will. I mean when

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Speaker 2: you look at someone like Deborah Mark, yeah, you think

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Speaker 2: that's almost a perfect person. She can't she can't have

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Speaker 2: any resolutions, Like, well, how is she going to improve

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Speaker 2: on that?

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Speaker 3: Friend, Mark?

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Speaker 2: I can't imagine that you could even come up with

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Speaker 2: anything that you want to improve upon or do differently.

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Speaker 3: Oh no, I have a long list.

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Speaker 2: Eric and Richie, on the other hand, they probably have

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Speaker 2: that's where you're gonna find your long Oh my gosh,

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Speaker 2: all right, and I actually have a fairly long list

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Speaker 2: as well. I'm this is my major improvement year coming up, So.

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Speaker 6: I can't imagine you have anything to at well.

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Speaker 2: I mean, thank you for returning the compliment, But the

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Speaker 2: truth is I have I have a lot to cut

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Speaker 2: back on and increase. So we'll get into that as well.

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Speaker 2: It's the obligatory segment. You have to do it. At

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Speaker 2: the end of the year. You've got to do a

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Speaker 2: New Year's resolution thing.

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Speaker 3: So we will.

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Speaker 2: I mean, I would be I would be insulting the

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Speaker 2: history of this great radio station not to at least

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Speaker 2: include it.

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Speaker 3: So there you will, we will do it.

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Speaker 2: It's a John Coblt show, Mark Thompson sitting in on

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Speaker 2: KFI AM six forty.

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Speaker 5: You're listening to John Cobelt on demand from KFI AM

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Speaker 5: six forty.

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Speaker 2: I just got an email about is this a new

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Speaker 2: is this a regular thing? And wanting to know a

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Speaker 2: regular schedule, went to the k IF my website.

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Speaker 3: Are you going to be on?

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Speaker 2: No, this is a I am just a I'm a

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Speaker 2: fill in, happy to be a fill in.

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Speaker 3: This is from Stephie.

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Speaker 2: She writes it to my email is the Mark Thompson

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Speaker 2: Show at gmail dot com. And thank you for the

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Speaker 2: email and very nice words. You've got to know me.

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Speaker 2: I'm very happy, kind of essentially lazy. This goes to

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Speaker 2: my resolutions. I got to turn down the l and lazy.

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Speaker 2: But I'm this is a perfect schedule for me, like

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Speaker 2: once in a while coming into KFI is perfect for me.

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Speaker 3: I don't think I could take the regular thing.

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Speaker 2: So it's really fun to fill in for John and

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Speaker 2: looking forward to hearing a lot of John in the

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Speaker 2: new year.

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Speaker 3: Right here in this time period.

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Speaker 2: So I mentioned that there is this bizarre agreement when

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Speaker 2: you're a nurse. Apparently in certain configurations anyway, in certain

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Speaker 2: setups and jobs.

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Speaker 3: And there is a.

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Speaker 2: Company that nurses are saying has forced them to pay

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Speaker 2: thousands of dollars in fees after they sign training contracts.

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Speaker 2: And they're calling for the US and they're calling for

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Speaker 2: the Labor Relations Board to actually get involved in this

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Speaker 2: because they're saying these agreements are illegal or should be illegal.

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Speaker 2: They're calling for a watchdog review to examine this stay

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Speaker 2: or pay training repayment agreement provisions.

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Speaker 3: They are.

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Speaker 2: Essentially the setup is like this, they come on, they

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Speaker 2: become nurses. They have to be trained right in whatever situation, configuration,

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Speaker 2: whether it's a care of a certain kind, the way

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Speaker 2: they do things, administer things, all those things have to be.

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Speaker 3: Done as training right.

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Speaker 2: So before the training starts, they stipulate that if a

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Speaker 2: worker leaves the job before a specified time, they will

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Speaker 2: owe fees, I mean substantial fees. I'll tell you about

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Speaker 2: the fees in the second for leaving the job to

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Speaker 2: reimburse the company for the time they spent training you

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Speaker 2: as a nurse. In that place, everybody is a certified nurse,

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Speaker 2: a registered nurse when they come to that facility. That

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Speaker 2: is a qualified in the healthcare world, but when it

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Speaker 2: comes to actually learning that specific place and those specific systems.

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Speaker 3: That has to be done in training.

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Speaker 2: Nurses who work for this Ohio based Communicare family of companies,

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Speaker 2: one of the largest providers of post acute care in

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Speaker 2: the country. They say they've been subjected to buyout fees

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Speaker 2: of thousands of dollars when they resign, and they've been

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Speaker 2: sued by their former employer for leaving the job. Jetele

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Speaker 2: and Ramos, thirty years old from the Philipans, worked for

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Speaker 2: four months at a communicare own short term and senior

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Speaker 2: rehab facility. When she left the job, they hit her

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Speaker 2: for fees of fifteen thousand, five hundred and fifty five dollars.

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Speaker 2: After she paid the fee, she was sued for one

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Speaker 2: hundred thousand dollars more for quitting the job before the

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Speaker 2: three year term that she signed up for had expired.

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Speaker 2: She said that when she started working that there were

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Speaker 2: many more patients than she was tasked to take care of.

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Speaker 2: When she agreed for the whole thing, she said, I

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Speaker 2: was assigned to take care of at least thirty patients

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Speaker 2: every shift.

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Speaker 3: It was exhausting. I was burned out. I worked NonStop.

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Speaker 2: I chose not to use my thirty minute breaks so

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Speaker 2: I could finish my tasks for that shift. When she

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Speaker 2: inquired to the company about why the lawsuit was filed

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Speaker 2: and while why this whole thing went down, they just

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Speaker 2: turned a blind eye. So Ramos and other former nurses

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Speaker 2: for this company filed unfair labor practice charges with the

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Speaker 2: National Labor Relations Board and they want the agency to

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Speaker 2: review the training repayment agreement.

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Speaker 3: I mean, is this legal.

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Speaker 2: There are several advocacy groups that can take up her

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Speaker 2: case and will take up her case because this is

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Speaker 2: an employment and contract agreement that is already controversial.

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Speaker 3: It's called stay or pay.

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Speaker 2: So if you agree to stay on a job, let's

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Speaker 2: say for a couple of years, and for any number

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Speaker 2: of reasons you leave it, they can force you to pay,

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Speaker 2: as I've just told you, a lot of money. So

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Speaker 2: nurses may be on the cutting edge of this. It

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Speaker 2: may apply to other fields as well, but there's a

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Speaker 2: lot of pressure and there is chapter in verse on this.

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Speaker 2: The lawsuits filed against the five nurses in this case

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Speaker 2: and the counter suits against the company are still pending

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Speaker 2: in court. So these nurses come here, oftentimes from overseas

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Speaker 2: again from the Philippines, where there's a robust reservoir of

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Speaker 2: those in the nursing field, and they come with the

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Speaker 2: EB three visus, you know, and so their immigration status

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Speaker 2: doesn't get linked to the employer, so they can work elsewhere.

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Speaker 2: So you know, the situation is overwhelming. It's not what

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Speaker 2: it was pitched as. They can go to another place,

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Speaker 2: but not if they're going to get sued, and not

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Speaker 2: if they're going to get penalized. So that is something

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Speaker 2: that I think will very much be relevant in the

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Speaker 2: year ahead. Alzheimer's is the persistent area of healthcare and

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Speaker 2: of medicine that we're always looking for some kind of

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Speaker 2: breakthrough in and this one is just one of those

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Speaker 2: weird ones. And you never know where the answer is

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Speaker 2: for what ails us may come from, where they may

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Speaker 2: come and this is a I think an odd one

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Speaker 2: at minimum odd. So they look researchers do at spiders

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Speaker 2: and they look at the silk that spiders are spinning.

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Speaker 2: Spider's silk is made of proteins and it comes from

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Speaker 2: a silk gland in the abdomen of the spider and

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Speaker 2: there are several different types of this protein. They store

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Speaker 2: it as liquid, and they use this spinning process to

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Speaker 2: build these whips. So researchers are looking at the way

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Speaker 2: Alzheimer's and Parkinson's diseases interact with proteins that are involved

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Speaker 2: in these diseases in several different ways and can assemble

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Speaker 2: into tiny oil like droplets in human cells. So droplets

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Speaker 2: and fibers in that world of spiders are oddly paralleled.

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Speaker 2: Researchers are thinking in this world of Alzheimer's and Parkinson's.

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Speaker 2: So again, as these nerve cells neurons in the brain

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Speaker 2: begin to take on different shapes and build ups. The

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Speaker 2: idea is that the brain in this process anyway, is

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Speaker 2: paralleling a bit of what's happening with the droplets and

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Speaker 2: the different ways that you can have spider webs essentially

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Speaker 2: also coagulate, you know, actually come together.

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Speaker 3: Again.

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Speaker 2: How do proteins from spiders act when they form droplets?

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Speaker 2: That is what's involved in this research for Alzheimer's, and

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Speaker 2: they they look at this mass spectromity. They measure the

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Speaker 2: weight of proteins what when they change to form droplets,

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Speaker 2: and they are seeing that the way that those proteins

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Speaker 2: form may actually kick the door open to some answers

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Speaker 2: about the way those proteins form fibers in the brain

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Speaker 2: and affect Alzheimer's disease. Wild, I mean really wild. First

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Speaker 2: of all, who was the person who came up with

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Speaker 2: that connection? Very impressive. They can take the rest of

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Speaker 2: the day off. But if it could actually be the answer.

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Speaker 3: Wow.

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Speaker 2: One of the huge stories of the last year was

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Speaker 2: that Alzheimer's drug. Right, there are two Alzheimer's drugs, one

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Speaker 2: that shows modest improvement and one that showed almost no

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Speaker 2: improvement but still got FDA approval, Which tells you everything

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Speaker 2: you need to know about the FDA, or at least.

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Speaker 3: Some of what you need to know about the FDA.

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Speaker 2: But the real answers to Alzheimer's we don't have yet,

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Speaker 2: and the real treatment for it we don't have yet.

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Speaker 2: So looking to the Kingdom of spiders. Hey, that may

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Speaker 2: be who knows the most promising When we come back, Yes,

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Speaker 2: we pull the staff for resolutions and I will share

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Speaker 2: mine as well.

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Speaker 3: It's time to come up with a resolution. I mean,

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Speaker 3: at least fake it. You know.

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Speaker 2: It's the co Belt Show. John returns on Tuesday. Mark

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Speaker 2: Thompson sitting in on KFI A six forty.

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Speaker 3: Live Everywhere in the iHeartRadio app.

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Speaker 5: You're listening to John Cobelt on demand from KFI AM

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Speaker 5: six forty.

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Speaker 2: John Back Tuesday, Mark Thompson sitting in. It's that time,

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Speaker 2: the end of the last year, the beginning of the

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Speaker 2: next year. Resolutions. And the thing about resolutions and the

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00:29:09,760 --> 00:29:16,960
Speaker 2: thing about turning over a new leaf is it actually

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Speaker 2: relates to a psychological phenomenon. That's right. It's called the

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Speaker 2: fresh start effect. It's where you may assign, like a

440
00:29:30,280 --> 00:29:32,600
Speaker 2: day on the calendar, a birthday, can oftentimes at the

441
00:29:32,600 --> 00:29:37,160
Speaker 2: time or in this case, New Year's to begin a

442
00:29:37,160 --> 00:29:40,560
Speaker 2: new beginning, and you can be motivated by that. Okay,

443
00:29:40,840 --> 00:29:43,520
Speaker 2: even though we know you could change yourself or make

444
00:29:43,560 --> 00:29:47,360
Speaker 2: a resolution to stop this or start that, whatever it

445
00:29:47,440 --> 00:29:50,720
Speaker 2: might be, anytime. But the data on the calendar is

446
00:29:50,760 --> 00:29:53,200
Speaker 2: sort of a crutch that we all use, and you know, hey,

447
00:29:53,240 --> 00:29:55,160
Speaker 2: a crutch helps you walk, there's nothing wrong with it.

448
00:29:56,040 --> 00:30:02,200
Speaker 2: So the conventional wisd them is that New Year's resolutions

449
00:30:02,240 --> 00:30:02,920
Speaker 2: typically fail.

450
00:30:03,080 --> 00:30:04,880
Speaker 3: So let's get right to it.

451
00:30:07,040 --> 00:30:10,480
Speaker 2: What resolutions do you have, and what resolutions do you

452
00:30:10,520 --> 00:30:14,600
Speaker 2: think will actually endure? And which ones do you think

453
00:30:14,640 --> 00:30:20,600
Speaker 2: will fail? I will share mine. I'm nothing if not

454
00:30:20,920 --> 00:30:27,680
Speaker 2: to self critical. So before I share them, before I

455
00:30:27,840 --> 00:30:34,080
Speaker 2: pull our distinguished group here, my colleagues at KFI, I

456
00:30:34,080 --> 00:30:36,960
Speaker 2: will tell you these tips to increase your chances of success.

457
00:30:38,080 --> 00:30:41,960
Speaker 2: You cannot offer the resolutions without knowing the tips to

458
00:30:42,040 --> 00:30:46,120
Speaker 2: improve your chances for success. These comes from these come

459
00:30:46,120 --> 00:30:50,920
Speaker 2: from behavioral science experts. Set your New Year's resolutions at

460
00:30:50,920 --> 00:30:58,720
Speaker 2: the right time. You don't want to set let's say,

461
00:31:01,520 --> 00:31:10,560
Speaker 2: a resolution involving exercising if you're already a heavy exerciser.

462
00:31:11,880 --> 00:31:14,640
Speaker 2: Make an explicit plan for achieving your goal. Think ways

463
00:31:14,640 --> 00:31:18,200
Speaker 2: through to eliminate potential obstacles. Choose a goal that you'll enjoy.

464
00:31:19,080 --> 00:31:23,400
Speaker 2: The more likely to succeed is that goal. If you

465
00:31:23,440 --> 00:31:28,240
Speaker 2: pick something you like, Subtract things from your life, like

466
00:31:28,280 --> 00:31:30,600
Speaker 2: an activity you're no longer committed to, so you have

467
00:31:30,720 --> 00:31:36,200
Speaker 2: room for new goals addition by subtraction. Huh, very interesting.

468
00:31:37,280 --> 00:31:41,080
Speaker 2: Forgive your failures, everybody. Let's face it, if you're setting

469
00:31:41,160 --> 00:31:45,360
Speaker 2: tough goals, there will always be failure, says again this

470
00:31:45,480 --> 00:31:49,320
Speaker 2: professor of behavioral science. The bottom line, New Year's resolutions

471
00:31:49,320 --> 00:31:51,000
Speaker 2: are not doomed to fail if you do them the

472
00:31:51,080 --> 00:31:55,240
Speaker 2: right way. So let's get into what the resolutions are

473
00:31:56,760 --> 00:32:00,320
Speaker 2: I'll go first if no one else wants to. I

474
00:32:00,320 --> 00:32:03,240
Speaker 2: think Deborah Mark would go first. I feel like you're

475
00:32:03,240 --> 00:32:04,600
Speaker 2: a go first kind of person.

476
00:32:04,760 --> 00:32:05,240
Speaker 5: Me.

477
00:32:06,120 --> 00:32:10,640
Speaker 3: What uh, what resolution could you possibly have?

478
00:32:11,640 --> 00:32:17,200
Speaker 6: You know, I'm very sensitive, truthfully, I'm very overly sensitive.

479
00:32:17,280 --> 00:32:19,280
Speaker 6: I know you may find that hard to believe because

480
00:32:19,280 --> 00:32:23,440
Speaker 6: I work with John Coblt and you know, teases me

481
00:32:23,480 --> 00:32:26,080
Speaker 6: a lot for whatever reason. That just doesn't bother me

482
00:32:26,240 --> 00:32:30,440
Speaker 6: at all. But in my real life, I'm trying to

483
00:32:30,480 --> 00:32:33,080
Speaker 6: not be so sensitive. I'm trying not to take things

484
00:32:33,080 --> 00:32:36,760
Speaker 6: so personal. And I've actually been trying that and it's

485
00:32:36,760 --> 00:32:37,720
Speaker 6: it's working for me.

486
00:32:37,840 --> 00:32:40,120
Speaker 2: So that that's now, Well, when you say take things

487
00:32:40,120 --> 00:32:42,840
Speaker 2: so personally, what what is that referring to?

488
00:32:42,880 --> 00:32:45,560
Speaker 6: Okay, so somebody sends me a text, I see you,

489
00:32:45,560 --> 00:32:49,480
Speaker 6: you're a message an email, I may, in my crazy mind,

490
00:32:49,640 --> 00:32:53,840
Speaker 6: construe it as something that it's not oh right, And

491
00:32:53,960 --> 00:32:58,400
Speaker 6: I think, because I'm just overly sensitive's criticism to you?

492
00:32:58,640 --> 00:32:59,800
Speaker 3: All right? Okay, I just.

493
00:33:00,000 --> 00:33:03,120
Speaker 6: It's just silly and I and then when I re

494
00:33:03,280 --> 00:33:06,320
Speaker 6: examine it, it's all in my own head because there

495
00:33:06,400 --> 00:33:09,000
Speaker 6: was really no problem. So I'm trying to I'm trying

496
00:33:09,040 --> 00:33:11,880
Speaker 6: to work on that. A little bit more. I exercise

497
00:33:11,920 --> 00:33:14,440
Speaker 6: all the time, so that's not it. I'm trying to

498
00:33:14,520 --> 00:33:18,640
Speaker 6: eat less sugar, so that's going to be a hard one.

499
00:33:18,720 --> 00:33:23,120
Speaker 2: What is the sugar delivery system in food that you

500
00:33:23,240 --> 00:33:23,720
Speaker 2: like the most?

501
00:33:23,920 --> 00:33:25,600
Speaker 6: Well, as soon as I'm out of here, I am

502
00:33:25,640 --> 00:33:27,280
Speaker 6: going to go to a vegan bakery. I'm not going

503
00:33:27,320 --> 00:33:29,800
Speaker 6: to lie, and I'm going to get some vegan pastries

504
00:33:30,040 --> 00:33:32,280
Speaker 6: and I'm going to stuff my face until the New Year,

505
00:33:32,360 --> 00:33:35,480
Speaker 6: and then that's when my new resolution starts.

506
00:33:36,680 --> 00:33:39,080
Speaker 2: I want to get that last cart and of cigarettes

507
00:33:39,120 --> 00:33:41,280
Speaker 2: down before I put smart I get it.

508
00:33:42,040 --> 00:33:42,280
Speaker 3: Yeah.

509
00:33:42,320 --> 00:33:46,640
Speaker 2: I have people completely under a misapprehension that when you

510
00:33:46,680 --> 00:33:48,040
Speaker 2: go vegan, somehow you're not.

511
00:33:48,000 --> 00:33:49,960
Speaker 3: Still plagued by sugar and costa.

512
00:33:50,080 --> 00:33:54,000
Speaker 6: I mean, yeah, no, there's I mean, you know, there

513
00:33:54,040 --> 00:33:57,120
Speaker 6: are plenty of amazing desserts to be eaten and you

514
00:33:57,160 --> 00:33:59,360
Speaker 6: cannot tell that they're vegan, and there's just a lot

515
00:33:59,400 --> 00:34:02,800
Speaker 6: of sugar you can tell sometimes, oh maybe sometimes, Eric,

516
00:34:02,840 --> 00:34:04,080
Speaker 6: you're going to the wrong places.

517
00:34:06,080 --> 00:34:08,040
Speaker 2: Drinking, by the way, is where there's a lot of

518
00:34:08,040 --> 00:34:10,680
Speaker 2: sugar in alcohol, you know, And I find that that's

519
00:34:10,719 --> 00:34:12,080
Speaker 2: one place that I pick up some weight.

520
00:34:12,480 --> 00:34:14,919
Speaker 3: Eric, any resolutions for the New.

521
00:34:14,880 --> 00:34:17,239
Speaker 4: Year Oh, Mark, I was dreading this question all day

522
00:34:17,280 --> 00:34:18,759
Speaker 4: because I knew you were going to ask you. Because

523
00:34:18,760 --> 00:34:20,520
Speaker 4: I'm such a sour puss when it comes to New

524
00:34:20,600 --> 00:34:23,480
Speaker 4: Year's resolutions. I think they're the dumbest thing in the world. No,

525
00:34:24,320 --> 00:34:26,440
Speaker 4: I don't think you need the New Year to just

526
00:34:27,000 --> 00:34:28,760
Speaker 4: say like, oh, I'm going to be a good person

527
00:34:28,880 --> 00:34:29,919
Speaker 4: or I'm going to hit the gym.

528
00:34:30,000 --> 00:34:32,080
Speaker 3: It's like, just just be a good person and hit

529
00:34:32,080 --> 00:34:33,040
Speaker 3: the gym whenever you want.

530
00:34:33,080 --> 00:34:36,680
Speaker 4: You're right right about that, Yeah, But I will say

531
00:34:37,080 --> 00:34:40,960
Speaker 4: our conversation the other day this week sparked my New

532
00:34:41,000 --> 00:34:43,399
Speaker 4: Year's resolution for this year, and that is to get

533
00:34:43,400 --> 00:34:44,160
Speaker 4: global entry.

534
00:34:44,600 --> 00:34:47,279
Speaker 3: Oh, I like it. That's right, if you missed it.

535
00:34:47,840 --> 00:34:51,640
Speaker 2: I just came back from South America and global entry

536
00:34:51,719 --> 00:34:54,160
Speaker 2: is the thing you should particularly have if you're planning

537
00:34:54,200 --> 00:34:56,560
Speaker 2: on traveling outside the United States. And when you come

538
00:34:56,600 --> 00:34:59,360
Speaker 2: back to LAX and there is this massive people, I

539
00:34:59,360 --> 00:35:01,319
Speaker 2: mean more people than you ever even thought could be

540
00:35:01,600 --> 00:35:04,879
Speaker 2: in one place at LAX, you walk right past them

541
00:35:05,400 --> 00:35:07,640
Speaker 2: and you go to Global Entry. You scan, they do

542
00:35:07,680 --> 00:35:10,399
Speaker 2: a retinal scan, and they literally would call out Eric,

543
00:35:10,560 --> 00:35:13,040
Speaker 2: go ahead. They would literally call your name and just

544
00:35:13,160 --> 00:35:16,000
Speaker 2: wave you. In my case, and Mark, go ahead, you're clear.

545
00:35:16,560 --> 00:35:16,799
Speaker 3: Yeah.

546
00:35:16,840 --> 00:35:19,800
Speaker 4: I was just in New York for work, actually working

547
00:35:20,320 --> 00:35:23,400
Speaker 4: their jingle ball out there and coming home. I got

548
00:35:23,440 --> 00:35:26,400
Speaker 4: to JFK later than I would have liked, and it

549
00:35:26,560 --> 00:35:29,160
Speaker 4: was a mad house. I had to wait almost two

550
00:35:29,200 --> 00:35:32,120
Speaker 4: hours to get through security and I almost missed my flight.

551
00:35:32,480 --> 00:35:35,200
Speaker 4: Oh so it was that was like the kick in

552
00:35:35,239 --> 00:35:37,920
Speaker 4: the butt. I needed to get Global Entry and tsaprea

553
00:35:37,960 --> 00:35:38,319
Speaker 4: check and.

554
00:35:38,320 --> 00:35:41,640
Speaker 2: That'll automatically include TSA Prix. All right, Richie, how about

555
00:35:41,680 --> 00:35:42,520
Speaker 2: you anything?

556
00:35:42,920 --> 00:35:46,239
Speaker 7: I would say probably get more organized in general, and

557
00:35:46,280 --> 00:35:49,120
Speaker 7: that can mean like just having more control of time

558
00:35:49,160 --> 00:35:52,400
Speaker 7: management and making more time with friends. I feel like

559
00:35:52,440 --> 00:35:55,680
Speaker 7: as I get older, everyone has a more schedule, like

560
00:35:55,800 --> 00:35:58,960
Speaker 7: a more busier schedule, so it seems harder and harder.

561
00:35:59,120 --> 00:36:02,040
Speaker 7: And there's been moments where this year alone, it's been

562
00:36:02,120 --> 00:36:04,400
Speaker 7: like maybe two to three months that I haven't seen friends.

563
00:36:04,920 --> 00:36:07,040
Speaker 7: I was able to meet up with them over the holidays,

564
00:36:07,080 --> 00:36:09,880
Speaker 7: which was great. But I would just say getting organized,

565
00:36:09,920 --> 00:36:11,080
Speaker 7: that's one big one for me.

566
00:36:11,840 --> 00:36:15,360
Speaker 3: I like that. I like that. That's hard too, to

567
00:36:15,400 --> 00:36:17,960
Speaker 3: be honest, trust me, I know. I mean it seems to.

568
00:36:17,920 --> 00:36:20,480
Speaker 2: Me like getting organized is something you do in little bits,

569
00:36:20,520 --> 00:36:23,600
Speaker 2: like you do kind of employ different strategies and you

570
00:36:23,640 --> 00:36:25,480
Speaker 2: do it a little bit at a time, you know,

571
00:36:25,600 --> 00:36:26,719
Speaker 2: that's how you do it.

572
00:36:26,840 --> 00:36:27,520
Speaker 3: Absolutely.

573
00:36:27,760 --> 00:36:32,560
Speaker 2: Yeah. I really need to start working out more. I

574
00:36:32,600 --> 00:36:36,080
Speaker 2: really do. I mean I knew you Mark. I know,

575
00:36:36,200 --> 00:36:38,000
Speaker 2: and people look at me and they think that I'm

576
00:36:38,000 --> 00:36:40,040
Speaker 2: in good shape and maybe I am on the outside,

577
00:36:40,040 --> 00:36:42,560
Speaker 2: but on the inside, I think I'm a you know,

578
00:36:43,480 --> 00:36:46,799
Speaker 2: it's a it's a reconstruction project, you know. I mean,

579
00:36:47,000 --> 00:36:52,880
Speaker 2: I really I'm essentially lazy. I like cocktail. I like

580
00:36:52,960 --> 00:36:55,680
Speaker 2: some wine. And you know, when you're doing that, you

581
00:36:55,760 --> 00:36:58,000
Speaker 2: need to and you can make an argument for you know,

582
00:36:58,000 --> 00:37:01,040
Speaker 2: you should get rid of that right away. I think

583
00:37:01,080 --> 00:37:04,000
Speaker 2: if you're doing that, I'm I just feel as though

584
00:37:04,000 --> 00:37:06,520
Speaker 2: I could be a particularly as you get older, a

585
00:37:06,560 --> 00:37:08,640
Speaker 2: person in better shape, you know what I mean. I'm

586
00:37:08,640 --> 00:37:12,279
Speaker 2: not in bad shape, but I'm I think the thing

587
00:37:12,320 --> 00:37:13,719
Speaker 2: that I could And this goes to what we were

588
00:37:13,760 --> 00:37:15,880
Speaker 2: talking about, like the one resolution I feel like I

589
00:37:15,880 --> 00:37:19,600
Speaker 2: can actually follow through on is getting in even better shape.

590
00:37:19,719 --> 00:37:22,439
Speaker 2: And I feel as though if I couldn't work out

591
00:37:22,760 --> 00:37:25,320
Speaker 2: in the morning, it'll actually get done.

592
00:37:25,400 --> 00:37:27,880
Speaker 3: You know, that's my goal. I work out in the

593
00:37:27,880 --> 00:37:29,480
Speaker 3: Morning's the only way to do it.

594
00:37:29,600 --> 00:37:32,000
Speaker 6: Yeah, I get up at five point thirty ish.

595
00:37:32,040 --> 00:37:34,239
Speaker 3: Wow. Yeah, it's a little too early for me.

596
00:37:34,680 --> 00:37:37,160
Speaker 6: I do my dogs wake me up so that I'm up,

597
00:37:37,239 --> 00:37:39,560
Speaker 6: and so then I just I go I work out.

598
00:37:39,680 --> 00:37:42,439
Speaker 3: And what time do you go to sleep? If five

599
00:37:42,520 --> 00:37:43,120
Speaker 3: thirty is when you.

600
00:37:43,120 --> 00:37:47,839
Speaker 6: Wake up, you know, I'm usually going to sleep around

601
00:37:47,960 --> 00:37:48,719
Speaker 6: nine and ten.

602
00:37:48,880 --> 00:37:50,920
Speaker 3: I got to sleep early. No, that's good. I think

603
00:37:50,920 --> 00:37:54,000
Speaker 3: those are healthy times to go to sleep. But I

604
00:37:54,080 --> 00:37:55,080
Speaker 3: work out seven days a week.

605
00:37:55,120 --> 00:37:56,759
Speaker 6: I mean it's a priority to me. Not that I

606
00:37:56,800 --> 00:38:03,000
Speaker 6: work out really really hard, but if.

607
00:38:00,840 --> 00:38:04,000
Speaker 2: You make activity, if you're doing it seven days a week,

608
00:38:04,000 --> 00:38:05,520
Speaker 2: you don't need it to be really hard.

609
00:38:05,600 --> 00:38:07,120
Speaker 3: You just need to I mean, if you're showing up

610
00:38:07,160 --> 00:38:08,160
Speaker 3: seven days a week. Wow.

611
00:38:08,280 --> 00:38:11,120
Speaker 6: But because I eat a lot of crap, yeah, I

612
00:38:11,200 --> 00:38:11,520
Speaker 6: have to.

613
00:38:11,840 --> 00:38:13,399
Speaker 3: How do you eat a lot of crap? But you

614
00:38:13,480 --> 00:38:14,720
Speaker 3: eat like bunny food?

615
00:38:15,000 --> 00:38:17,920
Speaker 6: Because I, as I said, I'm scooting over to the

616
00:38:18,560 --> 00:38:21,640
Speaker 6: vegan bakery and I don't just eat one cookie, my friend.

617
00:38:22,360 --> 00:38:24,200
Speaker 2: They can make it up, you know, and it's not

618
00:38:24,239 --> 00:38:26,600
Speaker 2: just bunny food anymore, because as I say, they can't

619
00:38:26,680 --> 00:38:31,200
Speaker 2: they Yeah, they'll make you know, these delicious croissant or

620
00:38:31,320 --> 00:38:33,440
Speaker 2: if you want those Mexican wedding cookies.

621
00:38:33,480 --> 00:38:33,879
Speaker 3: I love those.

622
00:38:34,200 --> 00:38:36,080
Speaker 2: You're gonna get them vegan, I mean you can. There's

623
00:38:36,400 --> 00:38:38,120
Speaker 2: there is nothing they can't make vegan.

624
00:38:38,200 --> 00:38:41,279
Speaker 6: And you know, even forget the desserts, but hummus, there's

625
00:38:41,280 --> 00:38:42,759
Speaker 6: a lot of calories of that, and.

626
00:38:42,680 --> 00:38:45,520
Speaker 3: I eat a lot of that, a lot of calories. Yeah.

627
00:38:45,960 --> 00:38:51,160
Speaker 2: Now, I think we're all most likely to follow through

628
00:38:52,520 --> 00:38:53,440
Speaker 2: among this group.

629
00:38:53,719 --> 00:38:57,040
Speaker 3: I think I feel like Eric will do global entryes. Yeah.

630
00:38:57,560 --> 00:39:00,879
Speaker 2: I feel like I have to do it, maybe the lead. Yeah, Yeah,

631
00:39:00,960 --> 00:39:03,440
Speaker 2: I think that's actually going to happen. I'm fifty to

632
00:39:03,440 --> 00:39:05,759
Speaker 2: fifty on actually getting up every day and working out.

633
00:39:05,800 --> 00:39:08,560
Speaker 3: I'm maybe sixty forty could happen.

634
00:39:09,160 --> 00:39:14,239
Speaker 2: Richie, I think will make some positive changes toward organization.

635
00:39:14,520 --> 00:39:16,279
Speaker 3: That's the goal. Yeah.

636
00:39:16,320 --> 00:39:19,160
Speaker 2: And Deborah, Yeah, I don't. I feel here's the thing.

637
00:39:19,200 --> 00:39:20,800
Speaker 2: It's not that you don't want to, but I feel

638
00:39:20,800 --> 00:39:23,040
Speaker 2: like your sensitivity is hardwired in now.

639
00:39:23,120 --> 00:39:25,200
Speaker 3: Yeah, I think you're probably think you're gonna have trouble

640
00:39:25,200 --> 00:39:26,600
Speaker 3: with that. Yeah, I think you're right.

641
00:39:26,680 --> 00:39:29,800
Speaker 2: I'm on team Deborah. I'd like you to see you succeed.

642
00:39:29,880 --> 00:39:32,160
Speaker 2: I just feel like you may by now. It's just

643
00:39:32,160 --> 00:39:33,560
Speaker 2: the way you think because I'm.

644
00:39:33,440 --> 00:39:34,920
Speaker 6: So old is that what you're saying.

645
00:39:36,320 --> 00:39:39,560
Speaker 3: See, you're still doing it right there. You're taking marsh

646
00:39:39,600 --> 00:39:40,479
Speaker 3: wired as you said.

647
00:39:40,600 --> 00:39:43,839
Speaker 2: Yes, all right, those are your resolutions and there they are,

648
00:39:44,000 --> 00:39:50,080
Speaker 2: handicapped for possible success. Mark here for John on KFI

649
00:39:50,200 --> 00:39:53,319
Speaker 2: AM six forty live everywhere on the iHeartRadio app.

650
00:39:53,480 --> 00:39:56,400
Speaker 1: Hey you've been listening to the John Cobalt Show podcast.

651
00:39:56,480 --> 00:39:58,960
Speaker 1: You can always hear the show live on KFI AM

652
00:39:58,960 --> 00:40:01,960
Speaker 1: six forty from one to four pm every Monday through Friday,

653
00:40:02,000 --> 00:40:05,280
Speaker 1: and of course anytime on demand on the iHeartRadio app