WEBVTT - Like a New Car Every Year

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<v Speaker 1>Broadcasting live from the Abraham Lincoln Radio Studio the George

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<v Speaker 1>Washington Broadcast Center.

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<v Speaker 2>Jack Armstrong, Joe Getty.

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<v Speaker 1>Armstrong and Getty, and He Armstrong and Yetty. Thank you

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<v Speaker 1>for being here. A lot of good stuff to squeeze

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<v Speaker 1>in this hour, so let's get right to it. Craig

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<v Speaker 1>gott Wall's longtime friend of The Armstrong and Getty Show

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<v Speaker 1>and friend of mine personally. Craig the Healthcare Guru is

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<v Speaker 1>an attorney, law and benefit consultant for Benefit Revolution and

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<v Speaker 1>is one of the most voracious readers and studiers of

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<v Speaker 1>what's happening in the world that I've ever met in

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<v Speaker 1>my life. Hence a really good guy to talk to

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<v Speaker 1>you about some stuff that's pretty complicated and tends to

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<v Speaker 1>make people's eyes glaze over because he's really really good

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<v Speaker 1>at helping us understand it. Craig, how are you my friend?

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<v Speaker 2>I am well, mister Geddy, how are you?

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<v Speaker 1>I'm terrific. Thank you. Can't complain, but some times I

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<v Speaker 1>still do as the song said, but looking forward to

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<v Speaker 1>talking to you about various healthcare and kind of tangential issues,

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<v Speaker 1>including and I didn't even ask can you do the

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<v Speaker 1>second segment this half hour. Sure, Yeah, look, okay, great,

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<v Speaker 1>because in that second segment, I want to get to

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<v Speaker 1>solutions and make sure we set aside time to do that,

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<v Speaker 1>because there are some things that particularly employers can do

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<v Speaker 1>about the incredible expense of healthcare and insurance and that

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<v Speaker 1>sort of thing. I'm told our connection dropped. Wow, that's

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<v Speaker 1>been happening semi regularly lately. As I explained yesterday, a

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<v Speaker 1>lot of the software and computer you know, dependent stuff.

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<v Speaker 1>It's like super inexpensive and incredibly handy, and you can

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<v Speaker 1>connect with people from around the world, but it's like

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<v Speaker 1>a third is reliable as the old timey wires connected

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<v Speaker 1>to stuff systems of the past. Okay, we've got them, Joe, Yeah, yeah, yeah,

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<v Speaker 1>no worries. What are you gonna do? So anyway, what's

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<v Speaker 1>Let's talk about the big problem in healthcare costs because

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<v Speaker 1>I know I saw this in your notes, and please

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<v Speaker 1>people forgive me. Next year, the healthcare costs for all

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<v Speaker 1>of us, the increase will probably be the worst in

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<v Speaker 1>a decade and a half.

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<v Speaker 2>Correct, Yeah, the worst in sixteen years. Everybody's reporting.

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<v Speaker 1>Oh good lord, good lord. Okay, give us all a minute.

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<v Speaker 1>You've punched us in the stomach. Okay, now we're able

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<v Speaker 1>to stand up and listen. Why what's the big problem?

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<v Speaker 2>Well, the number one problem in healthcare and it's taken

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<v Speaker 2>me years to uncover this, Joe and I know everybody

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<v Speaker 2>likes to hate on the insurance companies and they're a

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<v Speaker 2>huge problem. But the number one problem, if you just

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<v Speaker 2>look at this in a sheer dollars number, is the hospitals,

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<v Speaker 2>the hospital lobby, and specifically what hospitals charge employers for

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<v Speaker 2>the care they receive, because it's typically two and a

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<v Speaker 2>half to three times what a hospital will charge a

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<v Speaker 2>patient on Medicare, for example. Now, is Medicare enough for

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<v Speaker 2>every hospital? Probably not, but it doesn't have to be

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<v Speaker 2>three x. And that's what's going on in the hospital world.

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<v Speaker 2>The statistic that I think boggles most minds on this

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<v Speaker 2>topic is if you were to cobble together all of

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<v Speaker 2>the profits in the hospital industry in a given year,

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<v Speaker 2>it's about seventy five billion dollars, Whereas if you were

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<v Speaker 2>to cobble together all of the profits of all of

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<v Speaker 2>the health insurers in a given year, it's only about

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<v Speaker 2>a third of that twenty five billion dollars.

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<v Speaker 1>Wow.

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<v Speaker 2>Wow, that is in the hospital pricing.

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<v Speaker 1>Right, So we're we're dedicated capitalists, you and I. I'm

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<v Speaker 1>low profit. But the problem is, and this is where

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<v Speaker 1>leftists get away with what they get away with. They

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<v Speaker 1>point to this and say it's the free market. No,

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<v Speaker 1>it's the opposite of the free market. It's cronyism. It's

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<v Speaker 1>lobbyists buying favors from the government. So basically, if you're

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<v Speaker 1>on government healthcare, you are grossly underpaying what you probably

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<v Speaker 1>would for say a hospital stay or treatment or whatever.

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<v Speaker 1>And the hospitals, because the game is fixed by the government,

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<v Speaker 1>can then like double triple charge those of us with

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<v Speaker 1>private insurance and the government lets them while the government

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<v Speaker 1>forces them to take those underpaying government accounts. Is that

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<v Speaker 1>more or less accurate?

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<v Speaker 2>That is more or less accurate, Joe, Yeah, I mean

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<v Speaker 2>I might quibble with some of your firm phrasing there,

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<v Speaker 2>but that's pretty much what's going on. Yeah, Well, it's

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<v Speaker 2>the when we say government payment, right, that's a pretty

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<v Speaker 2>broad picture because macaid, what the low income amongst us pay,

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<v Speaker 2>which is about twenty five percent of society, is underpaid.

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<v Speaker 2>The medicaid doesn't pay enough. Medicare what we put the

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<v Speaker 2>oldsters on. It actually does pay enough at about eighty

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<v Speaker 2>to ninety percent of facilities. So this this marketing ploy

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<v Speaker 2>that the Medicare is so horrible and payment is actually

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<v Speaker 2>really been kind of a smoke screen created by the

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<v Speaker 2>hospital insurance cartel in bed with the government, is what

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<v Speaker 2>I would say. It's like you said, the market is

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<v Speaker 2>totally broken because the end users have no real exposure

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<v Speaker 2>to the actual prices. I mean, how many people understand

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<v Speaker 2>if you have your family on a health plan this year,

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<v Speaker 2>the premium for that health plan in twenty twenty seven

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<v Speaker 2>is going to be thirty thousand dollars. You don't see

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<v Speaker 2>it because your employer pays the lion's share of it.

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<v Speaker 2>But it's a new car every year just to ensure

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<v Speaker 2>your family.

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<v Speaker 1>Wow. Wow.

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<v Speaker 2>So then, and I'm here to tell you, Joe, a

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<v Speaker 2>huge portion of that is waste, fraud and abuse. So

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<v Speaker 2>like roughly a third thirty percent, and that's wasted. I

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<v Speaker 2>say waste front abuse. I mean middleman getting rich. I

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<v Speaker 2>mean lobbyists getting rich. I mean the hospital lobby and

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<v Speaker 2>the insurance lobby, shaking hands behind closed doors, pretending that

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<v Speaker 2>they fight over prices, when in reality they're just gouging

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<v Speaker 2>us all at these prices. But the market's so broken,

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<v Speaker 2>it's such an oligopoly. We can't fix it that way.

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<v Speaker 2>We can't fix it with free market mechanisms anymore. Wow,

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<v Speaker 2>so dangerous. That's what's so dangerous to allow the left

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<v Speaker 2>to say, ah, yes we need socialism, right.

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<v Speaker 1>Gosh, it would be more of this, yeah, gosh. So

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<v Speaker 1>is it just a political problem? Then we need new

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<v Speaker 1>leaders who won't take the bribes and will design a

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<v Speaker 1>system that works. O. Now, is it just so screwed

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<v Speaker 1>up that we as individuals and companies have to find workarounds.

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<v Speaker 2>It'll never be fixed at the individual level, and it'll

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<v Speaker 2>never be fixed at the political level. It has to be.

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<v Speaker 2>The one power we still have in healthcare is that

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<v Speaker 2>employers still control about a third to forty percent of

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<v Speaker 2>all healthcare. So it's incumbent upon employers, one by one

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<v Speaker 2>to exit the system, self ensure their plan, and remove

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<v Speaker 2>as many of these cartel members from their direct health

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<v Speaker 2>care plan as they can. It works, it's growing, and

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<v Speaker 2>it is. It is the one ray of light we

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<v Speaker 2>have in this space where where innovative employers are saying,

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<v Speaker 2>no more insurance companies, no more hospital cartels. We're going

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<v Speaker 2>to negotiate directly with our local hospital. We're going to

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<v Speaker 2>find fair pricing, and we're going to put a plan

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<v Speaker 2>together on our own that exits all this lobby government

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<v Speaker 2>industrial compact plex from our plan.

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<v Speaker 1>Right right. You mentioned, Craig that roughly a third of

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<v Speaker 1>healthcare spending is private insurance. Is that what you said?

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<v Speaker 2>Yeah, there's two ways to cut this. So this is

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<v Speaker 2>a little bit because I.

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<v Speaker 1>Was working forward asking you what percentage currently is the

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<v Speaker 1>government paying for, you know, around America.

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<v Speaker 2>Yeah, so the government, let's say it this way, taxpayers

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<v Speaker 2>pay for seventy percent of healthcare in the United States. Wow,

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<v Speaker 2>all right, true statement. Yeah, yeah, but employers still control

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<v Speaker 2>about forty five percent of healthcare in the United States.

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<v Speaker 2>And you say, well, how does that square? Well, you

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<v Speaker 2>got to remember counties, cities, and governments are still employers,

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<v Speaker 2>so those are government controlled employers that where the taxpayer

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<v Speaker 2>is paying the So you can little overlap and that statistic.

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<v Speaker 1>Right right, yeah, okay, all right, Well we can talk

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<v Speaker 1>more about the you know, what companies can do with

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<v Speaker 1>self insurance and that sort of thing, because I absolutely

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<v Speaker 1>love it. But the long story made short is that

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<v Speaker 1>big hospital, big insurance, and big Pharma are all in

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<v Speaker 1>bed together.

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<v Speaker 2>Yeah, they absolutely are, and Obamacare solidified that for them.

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<v Speaker 2>Obamacare brought all of them to the table and said, look,

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<v Speaker 2>we're going to basically what was happening behind the scenes

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<v Speaker 2>and Obamacare as they were saying, We're going to tell

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<v Speaker 2>everybody we're going to cover more people and bring costs down.

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<v Speaker 2>But the reality is it was all a Lincoln and

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<v Speaker 2>nod and everybody kind of knew you weren't going to

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<v Speaker 2>bring costs down, which, of course we haven't. Costs have

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<v Speaker 2>gone up even faster since Obamacare. Yes, more people were covered,

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<v Speaker 2>but the number because of population growth in the United States,

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<v Speaker 2>the number of uninsured in the country today is roughly

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<v Speaker 2>the same as it was when Obamacare passed in twenty ten. So, yes,

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<v Speaker 2>we have more people covered, but with the people coming in,

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<v Speaker 2>we still have the same problem we had in twenty

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<v Speaker 2>ten for the most part.

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<v Speaker 1>Wow. So Obama in essence thought, reinventing this is going

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<v Speaker 1>to be way too difficult and politically unpopular, So I

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<v Speaker 1>will use the super giants who are already just at

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<v Speaker 1>the troth getting fat and enlist their help in return

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<v Speaker 1>for not calling them on their their bs.

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<v Speaker 2>Yeah, and that's exactly what would happen with any Let's

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<v Speaker 2>just say we get another super lefty socialist type in

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<v Speaker 2>the federal office right at the president's level, the same

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<v Speaker 2>thing would happen. They would get in and realize big insurance,

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<v Speaker 2>big pharma, and the hospital chains are so powerful. They're

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<v Speaker 2>the number one employer, the number one lobby, and the

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<v Speaker 2>number one expenditure in the federal government. And so they

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<v Speaker 2>would just realize, Okay, we have to work with them

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<v Speaker 2>to massage it. We'll never be able to break out

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<v Speaker 2>of the system entirely. It has to be employers doing

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<v Speaker 2>it one by one, and right now, rough roughly five

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<v Speaker 2>percent of employers are doing like the full but the

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<v Speaker 2>full boat like what I would talk about, like where

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<v Speaker 2>you really exit all that stuff from your plan. If

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<v Speaker 2>we got to twenty to twenty five percent of employers

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<v Speaker 2>doing this, it would radically change the healthcare landscape.

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<v Speaker 1>Okay, I want to talk about that a little bit

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<v Speaker 1>more next segment. But first, how do you answer people

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<v Speaker 1>who say, Craig, look, it's so screwed up, we need

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<v Speaker 1>single payer government healthcare.

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<v Speaker 2>Yeah, well, that's that's an answer. I get it, Like

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<v Speaker 2>I don't. I don't even push back on that anymore.

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<v Speaker 2>I say, look, that's what France does, you know, that's

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<v Speaker 2>what other countries do, That's what that's what Canada does.

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<v Speaker 2>And as screwed up as ours is, with all these

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<v Speaker 2>fat taps, with all this crony capitalism going on, and

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<v Speaker 2>all these people getting fat and profiting and all this

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<v Speaker 2>garbage that's in our stuff, it's still significantly better than

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<v Speaker 2>the socialized countries once you start to look at the

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<v Speaker 2>amount of weight time, the amount of the lack of

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<v Speaker 2>specialties they have in these other countries. And while it

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<v Speaker 2>might be better for some people to go fully socialized

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<v Speaker 2>on the whole, it won't be better. It'll be Medicaid.

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<v Speaker 2>It'll be what we have for the low income, not Medicare.

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<v Speaker 2>They like to say Medicare for all, because Medicare still

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<v Speaker 2>has a good reputation, But Medicaid is what it'll end

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<v Speaker 2>up being. That's the one that could actually be afforded

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<v Speaker 2>if we did it, And that's a horrible system that

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<v Speaker 2>does underpay and causes these massive weight times and these

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<v Speaker 2>doctors that exit the game. So it would be worse

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<v Speaker 2>I have note. I mean you would end up in

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<v Speaker 2>a situation like France where you just have smaller homes,

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<v Speaker 2>you drive less cars, you just live a more modest

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<v Speaker 2>life because socialism has fully crept into the largest part

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<v Speaker 2>of your government.

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<v Speaker 1>Then well, I don't mind smaller cars and houses or

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<v Speaker 1>whatever nearly as much as I'm waiting eighteen weeks to

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<v Speaker 1>begin my cancer treatment in Great Britain, for instance.

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<v Speaker 2>There you go, you go. I was looking more at

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<v Speaker 2>the macroeconomics of how it affects everything out but no,

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<v Speaker 2>the healthcare. Yeah, and all the stats that show, you know,

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<v Speaker 2>results are better in these other countries, they're all so

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<v Speaker 2>flawed for many reasons that you guys have pointed out

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<v Speaker 2>over the years. It's it's the true tell is when

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<v Speaker 2>you get people in Canada that have a real problem.

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<v Speaker 2>They pay cash to come here if they can, right,

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<v Speaker 2>they can't. They wait there and they often die right correct.

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<v Speaker 1>All right, We need to take a quick break, Craig,

0:12:28.920 --> 0:12:30.920
<v Speaker 1>but we'll be back with more a word from our

0:12:30.960 --> 0:12:34.960
<v Speaker 1>friends and sponsors at Blue Collar Dollar. You Craig, me Jack,

0:12:35.040 --> 0:12:37.560
<v Speaker 1>We're all kind of the same sort of people. We

0:12:37.640 --> 0:12:40.280
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0:12:40.400 --> 0:12:44.000
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0:12:44.080 --> 0:12:46.400
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0:12:46.440 --> 0:12:48.800
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0:12:52.520 --> 0:12:54.640
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0:12:54.679 --> 0:12:56.800
<v Speaker 1>invite you to call Blue Collar Dollar for a no

0:12:57.040 --> 0:13:00.360
<v Speaker 1>cost consultation. There's no obligation if you you don't like

0:13:00.400 --> 0:13:03.240
<v Speaker 1>what you hear, no harm done from your mobile phone.

0:13:03.240 --> 0:13:05.439
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0:13:05.440 --> 0:13:08.800
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0:13:08.880 --> 0:13:13.040
<v Speaker 1>two point fifty and say blue Collar Dollar. Nice folks too.

0:13:13.400 --> 0:13:16.679
<v Speaker 1>Advisory service is offered through Talent LLC and SEC registered

0:13:16.720 --> 0:13:19.760
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0:13:19.760 --> 0:13:23.200
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0:13:23.240 --> 0:13:25.160
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0:13:29.559 --> 0:13:34.839
<v Speaker 1>to come with Craig the healthcare Guru. In seconds Armstrong HEETI.

0:13:41.160 --> 0:13:42.920
<v Speaker 2>See Armstrong and Yetty show.

0:13:46.840 --> 0:13:49.560
<v Speaker 1>We're talking to Craig got Walls, Craig the healthcare Guru,

0:13:49.600 --> 0:13:53.680
<v Speaker 1>about our screwed up, incredibly expensive healthcare system and how

0:13:53.760 --> 0:13:57.200
<v Speaker 1>the big hospital and big pharma and big insurance are

0:13:57.240 --> 0:14:00.840
<v Speaker 1>all making wild profits and you're paying for it. Craig,

0:14:00.920 --> 0:14:03.079
<v Speaker 1>I just if I could. I wanted to get a

0:14:03.120 --> 0:14:08.560
<v Speaker 1>quick description again of how you get around that for

0:14:08.679 --> 0:14:11.360
<v Speaker 1>companies and then, believe it or not, I want to

0:14:11.400 --> 0:14:16.040
<v Speaker 1>go into self checkout laws, anti self check levels. But

0:14:16.160 --> 0:14:18.080
<v Speaker 1>so tell us again, how do you do what you do?

0:14:19.120 --> 0:14:21.040
<v Speaker 2>I love it. So what we've been doing the last

0:14:21.040 --> 0:14:24.000
<v Speaker 2>handful of years, Joe, is something called reference based pricing.

0:14:24.600 --> 0:14:27.280
<v Speaker 2>What I would tell you is most employees, more than

0:14:27.320 --> 0:14:30.200
<v Speaker 2>half of employees on a corporate employer plan, are already

0:14:30.200 --> 0:14:34.120
<v Speaker 2>on a self insured plan. It's a great first step. However,

0:14:34.200 --> 0:14:36.840
<v Speaker 2>most of those employers still pay one of the big

0:14:36.880 --> 0:14:39.640
<v Speaker 2>four insurance companies to administer the plan, and they rent

0:14:39.680 --> 0:14:42.680
<v Speaker 2>their networks and still pay those bloated prices on the claims.

0:14:43.520 --> 0:14:45.800
<v Speaker 2>The next step, and what about five percent of employers

0:14:45.800 --> 0:14:49.280
<v Speaker 2>are now doing nationwide, is to say, hey, we've gone

0:14:49.360 --> 0:14:52.880
<v Speaker 2>this far, let's cut the insurance lobby out entirely. Instead

0:14:52.920 --> 0:14:55.680
<v Speaker 2>of renting that bloated PPO that pays three hundred percent

0:14:55.720 --> 0:14:59.000
<v Speaker 2>at a hospital of what Medicare would pay, let's name

0:14:59.040 --> 0:15:01.200
<v Speaker 2>our own price, pay one hundred and fifty percent of

0:15:01.200 --> 0:15:04.120
<v Speaker 2>what Medicare would pay. Negotiate these deals directly with the

0:15:04.160 --> 0:15:07.720
<v Speaker 2>hospitals and our footprint and go from there. It's aggressive,

0:15:07.800 --> 0:15:12.160
<v Speaker 2>but it saves overall healthcare costs thirty percent first year alone.

0:15:12.200 --> 0:15:15.920
<v Speaker 2>And it works unbelievably. But it's work. It's not for everybody,

0:15:16.000 --> 0:15:18.840
<v Speaker 2>but that's the new thing in healthcare. That's what people

0:15:18.840 --> 0:15:21.760
<v Speaker 2>are doing to really get all of the pillars of

0:15:21.800 --> 0:15:23.120
<v Speaker 2>the cartel out of their health plan.

0:15:23.920 --> 0:15:26.160
<v Speaker 1>Wow. If people want to know more about that, or

0:15:26.240 --> 0:15:28.560
<v Speaker 1>understand it or read it a little more slowly, how

0:15:28.560 --> 0:15:30.560
<v Speaker 1>do they get a hold of you or read your

0:15:30.560 --> 0:15:31.480
<v Speaker 1>substack or whatever.

0:15:32.280 --> 0:15:35.560
<v Speaker 2>Yeah, Gottwalves dot substack dot com or you can. You

0:15:35.600 --> 0:15:37.960
<v Speaker 2>can just google my name. There's only one Craig Gottwalds

0:15:38.000 --> 0:15:39.760
<v Speaker 2>in the United States, so it makes it really easy.

0:15:39.960 --> 0:15:42.280
<v Speaker 2>You can find me on LinkedIn or Twitter or substack.

0:15:42.920 --> 0:15:46.040
<v Speaker 1>Got t w als We'll have a link at armstrong

0:15:46.080 --> 0:15:48.120
<v Speaker 1>and getty dot com so people can find you, all right,

0:15:48.640 --> 0:15:51.240
<v Speaker 1>So I love the sound of that. You drop me

0:15:51.280 --> 0:15:54.640
<v Speaker 1>a note about self checkout laws like in cal Unicornia.

0:15:54.720 --> 0:15:57.920
<v Speaker 1>They claim it's because they want to limit shoplifting, which

0:15:57.960 --> 0:15:59.080
<v Speaker 1>is truly hilarious.

0:16:00.160 --> 0:16:01.920
<v Speaker 2>Yeah, because of what I do. I have a lot

0:16:01.960 --> 0:16:04.400
<v Speaker 2>of grocer clients because they have narrow profit margins and

0:16:04.440 --> 0:16:06.480
<v Speaker 2>they want to be aggressive about reigning and healthcare costs.

0:16:06.480 --> 0:16:09.640
<v Speaker 2>So I've gotten this glimpse into the grocery industry, and

0:16:09.680 --> 0:16:11.880
<v Speaker 2>what I've seen, particularly in the Blue States, is some

0:16:11.920 --> 0:16:13.680
<v Speaker 2>of my clients will sit in front of the state

0:16:13.760 --> 0:16:17.360
<v Speaker 2>legislature and tell them, look, we have theft present prevention

0:16:17.480 --> 0:16:20.080
<v Speaker 2>under control. We're not having a problem at our self

0:16:20.120 --> 0:16:22.600
<v Speaker 2>checkout lines. We'll police it ourselves, thank you very much,

0:16:22.640 --> 0:16:24.920
<v Speaker 2>as the legislature pats them on the head and says,

0:16:25.120 --> 0:16:27.960
<v Speaker 2>you're a good little grocer. Let us limit your self

0:16:28.040 --> 0:16:30.000
<v Speaker 2>checkout lines for your own good because we want to

0:16:30.000 --> 0:16:33.120
<v Speaker 2>prevent theft. So, first of all, think of how insane

0:16:33.160 --> 0:16:36.080
<v Speaker 2>that is. Because we don't enforce criminal law, we don't

0:16:36.160 --> 0:16:38.560
<v Speaker 2>enforce shoplifting, we have to tell you you can't have

0:16:38.600 --> 0:16:41.840
<v Speaker 2>self checkout, right, That's the first thing. But the real

0:16:41.880 --> 0:16:44.360
<v Speaker 2>thing is that's not why they're doing it. Why they're

0:16:44.360 --> 0:16:48.200
<v Speaker 2>doing it is self checkout lines are a visual reminder

0:16:48.480 --> 0:16:52.240
<v Speaker 2>that the policies and Blue states limit the hiring of individuals,

0:16:52.360 --> 0:16:56.000
<v Speaker 2>and the number one supporter in the Blue lobby is unions.

0:16:56.440 --> 0:16:59.000
<v Speaker 2>And so unions hate self checkout and that's why you

0:16:59.040 --> 0:17:01.000
<v Speaker 2>really see all this going on in the Blue States

0:17:01.000 --> 0:17:04.120
<v Speaker 2>of the limitations on self checkout lines, which is amazing.

0:17:04.600 --> 0:17:08.159
<v Speaker 2>California every year tries to limit and ban self checkout laws,

0:17:08.320 --> 0:17:10.960
<v Speaker 2>self checkout lines every way they can. They say, you

0:17:11.000 --> 0:17:13.159
<v Speaker 2>have to have so many people overseeing it, you can

0:17:13.400 --> 0:17:15.479
<v Speaker 2>only you can only have certain products in there, you

0:17:15.480 --> 0:17:17.280
<v Speaker 2>have to have a fifteen item limit, etc.

0:17:18.240 --> 0:17:20.000
<v Speaker 1>So you got both sides of the coin going on.

0:17:20.080 --> 0:17:23.719
<v Speaker 1>Number one, you see the working moms and the teenagers

0:17:23.720 --> 0:17:27.200
<v Speaker 1>in the semi retired people losing their jobs in favor

0:17:27.200 --> 0:17:29.679
<v Speaker 1>of a machine. And then b they're desperate for all

0:17:29.680 --> 0:17:32.400
<v Speaker 1>these people to be unionized because as a Democrat, you

0:17:32.520 --> 0:17:36.439
<v Speaker 1>get a cut of that the union dues, and they

0:17:36.440 --> 0:17:39.400
<v Speaker 1>want everybody to be unionized. The union dues are mostly

0:17:39.440 --> 0:17:44.560
<v Speaker 1>spent on lobbying Democrats, writing big checks to Democrats, so

0:17:44.760 --> 0:17:47.960
<v Speaker 1>of course they want these laws passed, so they have

0:17:48.000 --> 0:17:50.400
<v Speaker 1>to have more employees than they unionize, and then they

0:17:50.400 --> 0:17:54.040
<v Speaker 1>get a cut of it. It's absolute graft. All right,

0:17:54.080 --> 0:17:58.320
<v Speaker 1>we're out of time, Craig, Okay, awesome, Well you end

0:17:58.359 --> 0:18:00.240
<v Speaker 1>up with what go ahead, end.

0:18:00.280 --> 0:18:03.160
<v Speaker 2>Up with this beautiful this beautiful situation where you literally

0:18:03.200 --> 0:18:06.200
<v Speaker 2>have a grocer sitting in front of a state legislature,

0:18:06.200 --> 0:18:08.480
<v Speaker 2>and the legislature saying, we know what's better for you,

0:18:08.560 --> 0:18:12.119
<v Speaker 2>little grocer. We'll protect your lock prevention numbers. You know.

0:18:12.720 --> 0:18:16.920
<v Speaker 1>Craig got walls, Craig the healthcare guru. Grab them online

0:18:17.000 --> 0:18:19.280
<v Speaker 1>if you need to. Greg. It's always fun to talk.

0:18:19.560 --> 0:18:21.280
<v Speaker 1>Best of the family, and we'll stay in.

0:18:21.200 --> 0:18:23.080
<v Speaker 2>Touch, right Thank you, sir.

0:18:23.880 --> 0:18:27.479
<v Speaker 1>Great perspective on AI and the problems it is solving

0:18:27.560 --> 0:18:30.480
<v Speaker 1>these days and what it ought to be solving. Really

0:18:30.600 --> 0:18:36.240
<v Speaker 1>unique thought coming up next day with US Armstrong and Getty,

0:18:37.040 --> 0:18:43.800
<v Speaker 1>THEE Armstrong and Getty Show. I mentioned a little while

0:18:43.800 --> 0:18:45.520
<v Speaker 1>ago we were going to talk to Josh Rogan of

0:18:45.560 --> 0:18:49.200
<v Speaker 1>the Washington Post and he writes a substack about how

0:18:49.400 --> 0:18:53.679
<v Speaker 1>Washington is trying to deal with the rapid proliferation of

0:18:53.760 --> 0:18:59.160
<v Speaker 1>open source Chinese AI models and advanced AI systems in general.

0:19:00.359 --> 0:19:04.760
<v Speaker 1>But there are a lot of folks embracing Chinese open

0:19:04.800 --> 0:19:10.399
<v Speaker 1>source models right now and if that continues, and I

0:19:10.440 --> 0:19:14.840
<v Speaker 1>came to understand that if you're running I don't know,

0:19:14.880 --> 0:19:18.800
<v Speaker 1>a university lab or a research company or just somebody

0:19:18.840 --> 0:19:25.920
<v Speaker 1>who's really into AI and you start building on, for instance,

0:19:25.920 --> 0:19:29.360
<v Speaker 1>an open source Chinese AI model because it's available to you,

0:19:29.359 --> 0:19:31.760
<v Speaker 1>you can afford it, and that sort of thing, and

0:19:31.800 --> 0:19:33.480
<v Speaker 1>you build on top of that. Then you build on

0:19:33.520 --> 0:19:36.480
<v Speaker 1>top of that. You've got these really big, complicated, sophisticated

0:19:36.520 --> 0:19:39.879
<v Speaker 1>systems all built on that Chinese open source AI model.

0:19:40.160 --> 0:19:42.919
<v Speaker 1>You're in that community. It's like getting used to Apple

0:19:43.040 --> 0:19:45.760
<v Speaker 1>versus you know, a Google phone, a Samsung phone, something

0:19:45.800 --> 0:19:50.880
<v Speaker 1>like that, and so it kind of matters who's doing

0:19:50.880 --> 0:19:55.160
<v Speaker 1>what in these early days. But folks, including in DC,

0:19:55.400 --> 0:19:58.399
<v Speaker 1>are worried that Beijing could have undue influence over the

0:19:58.440 --> 0:20:02.600
<v Speaker 1>Technical Standard Safety Rule, even some of the political assumptions

0:20:02.640 --> 0:20:05.960
<v Speaker 1>baked into software used by governments, militaries, hospitals, and banks

0:20:05.960 --> 0:20:09.679
<v Speaker 1>for decades to come. Nobody's quite sure what to do

0:20:09.800 --> 0:20:14.720
<v Speaker 1>about all this, which is scary, and you should be scared.

0:20:14.800 --> 0:20:19.040
<v Speaker 1>I'm scared. Let's all be scared. There was another AI story.

0:20:19.160 --> 0:20:20.760
<v Speaker 1>Do we have time for it? I tell you what,

0:20:20.800 --> 0:20:22.320
<v Speaker 1>Maybe we squeeze it in, But I wanted to get

0:20:22.320 --> 0:20:26.439
<v Speaker 1>to this. Roland Fryar, I've quoted semi regularly. He is

0:20:27.400 --> 0:20:33.360
<v Speaker 1>an economist at HAVAD. He is a young black man

0:20:34.920 --> 0:20:38.920
<v Speaker 1>and an original thinker, and I really like him even

0:20:38.960 --> 0:20:41.880
<v Speaker 1>when I disagree with him. He's one of those guys

0:20:41.920 --> 0:20:45.720
<v Speaker 1>who he grew up of quite modest means a young

0:20:45.760 --> 0:20:48.080
<v Speaker 1>black man in America. He's just got an unbelievable brain.

0:20:49.440 --> 0:20:54.000
<v Speaker 1>And because he is smart and he worked hard and

0:20:54.040 --> 0:20:58.640
<v Speaker 1>he's brave, he has realized his dreams in America, as

0:20:58.840 --> 0:21:03.560
<v Speaker 1>so many people do. And he's one of those guys

0:21:03.600 --> 0:21:07.959
<v Speaker 1>who when he's told oh, that's not the conventional thinking,

0:21:08.040 --> 0:21:10.359
<v Speaker 1>that's not how we talk around here, he says, I

0:21:10.400 --> 0:21:13.800
<v Speaker 1>don't care. He's a real independent thinker, which I love

0:21:13.840 --> 0:21:16.520
<v Speaker 1>about him. He came to fame with a study about

0:21:17.040 --> 0:21:19.720
<v Speaker 1>how he said, yeah, I've actually crunched the numbers, and

0:21:20.960 --> 0:21:23.480
<v Speaker 1>cops aren't hunting down black men in America. They're not

0:21:23.560 --> 0:21:27.600
<v Speaker 1>killed at disproportionate numbers. That's not true. And oh my god,

0:21:27.640 --> 0:21:30.280
<v Speaker 1>Academia just hated that. They didn't know what to say

0:21:30.320 --> 0:21:32.480
<v Speaker 1>because here he is a black man. We can't yell

0:21:32.520 --> 0:21:34.720
<v Speaker 1>at him that he's a racist. We don't know what

0:21:34.720 --> 0:21:37.320
<v Speaker 1>to do anyway. So Roland Fryar, that's who Roland is.

0:21:37.920 --> 0:21:40.120
<v Speaker 1>And he writes about all sorts of interesting things and

0:21:40.320 --> 0:21:44.600
<v Speaker 1>looks at them from the point of view of an economist,

0:21:45.200 --> 0:21:47.359
<v Speaker 1>and he writes, I've spent much of the summer talking

0:21:47.359 --> 0:21:52.560
<v Speaker 1>with technology executives about aim. Hmm. The word the only

0:21:52.600 --> 0:21:55.840
<v Speaker 1>word I hear more often than AI is abundance, not

0:21:55.960 --> 0:22:00.359
<v Speaker 1>far behind his socialism, usually accompanied by bewilderment, why wonder

0:22:00.359 --> 0:22:02.600
<v Speaker 1>are so many Americans, especially young ones, attracted to an

0:22:02.640 --> 0:22:07.800
<v Speaker 1>economic system that has failed so spectacularly elsewhere. Anyway, so

0:22:07.800 --> 0:22:10.160
<v Speaker 1>I'm beginning to think their enthusiasm for abundance and their

0:22:10.160 --> 0:22:15.320
<v Speaker 1>bewilderment about socialism are connected. And the abundance pitch, he writes,

0:22:15.359 --> 0:22:18.359
<v Speaker 1>this hard to resist will have, you know, super efficiency

0:22:18.400 --> 0:22:21.399
<v Speaker 1>and productivity, and so much money will be generated that

0:22:21.600 --> 0:22:26.800
<v Speaker 1>everybody will have plenty. And then rolland frar like Jack

0:22:26.920 --> 0:22:30.640
<v Speaker 1>Armstrong and Joe Getty. And we're among the very few

0:22:30.680 --> 0:22:35.600
<v Speaker 1>people asking these questions. He says, Then I ruined the

0:22:35.640 --> 0:22:39.520
<v Speaker 1>mood by asking abundance for whom who decides it may

0:22:39.520 --> 0:22:42.560
<v Speaker 1>be the fastest way to end a conversation, since I

0:22:42.600 --> 0:22:45.000
<v Speaker 1>asked the Harvard Economics Department, blah blah blah, it makes

0:22:45.000 --> 0:22:49.320
<v Speaker 1>a joke about minority hiring. Anyway, most people hear the

0:22:49.359 --> 0:22:52.399
<v Speaker 1>question assume he's heading toward taxes, universal basic income, or

0:22:52.440 --> 0:22:56.879
<v Speaker 1>some other scheme for redistributing AI's gains, which is an

0:22:56.880 --> 0:23:01.359
<v Speaker 1>incredibly important question. But here's his angle, which I hadn't

0:23:01.400 --> 0:23:04.480
<v Speaker 1>really thought about before. He's not asking how we divide

0:23:04.480 --> 0:23:07.600
<v Speaker 1>the wealth AI creates. I'm asking he writes a prior question,

0:23:07.800 --> 0:23:10.080
<v Speaker 1>what will we use AI to create in the first place?

0:23:10.160 --> 0:23:13.520
<v Speaker 1>Before we divide the spoils, entrepreneurs and investors have to

0:23:13.560 --> 0:23:17.880
<v Speaker 1>decide which problems are worth solving. And then he gets

0:23:17.880 --> 0:23:19.960
<v Speaker 1>into the part that really intrigued me. He says, we're

0:23:19.960 --> 0:23:22.880
<v Speaker 1>in the middle of a gold rush, and he talks

0:23:22.920 --> 0:23:26.520
<v Speaker 1>about how these brand new companies raised billions of dollars,

0:23:26.760 --> 0:23:30.879
<v Speaker 1>they're valued at billions of dollars more in their IPOs

0:23:30.960 --> 0:23:38.280
<v Speaker 1>and whatever, and technology executives he respects say, he says,

0:23:38.320 --> 0:23:40.240
<v Speaker 1>have told me some version of the same thing. There's

0:23:40.280 --> 0:23:42.359
<v Speaker 1>simply too much money to be made right now to

0:23:42.400 --> 0:23:44.199
<v Speaker 1>worry about anything else, like how we're going to read

0:23:44.240 --> 0:23:48.760
<v Speaker 1>distributed blah blah. And there's a reasonable defense in all

0:23:48.960 --> 0:23:52.919
<v Speaker 1>this that AI investment lumps together very different bets foundational models,

0:23:52.960 --> 0:23:56.560
<v Speaker 1>chips and compute physical infrastructure applications. All right, So here's

0:23:56.560 --> 0:24:04.000
<v Speaker 1>the point if we're way to discover the transformative AI

0:24:04.119 --> 0:24:08.959
<v Speaker 1>applications that really really change the world. Where do we

0:24:09.000 --> 0:24:13.560
<v Speaker 1>look and who looks might matter the most? What if

0:24:13.640 --> 0:24:16.320
<v Speaker 1>Silicon Valley has it backward? Not because they have a

0:24:16.320 --> 0:24:18.359
<v Speaker 1>moral obligation to save the world, but because some of

0:24:18.359 --> 0:24:21.880
<v Speaker 1>the biggest fortunes maybe hiding in the problems they are ignoring.

0:24:22.800 --> 0:24:26.439
<v Speaker 1>Medicaid spent more than nine hundred billion dollars in twenty

0:24:26.480 --> 0:24:30.000
<v Speaker 1>twenty four. That's a hell of a lot of money.

0:24:30.400 --> 0:24:34.320
<v Speaker 1>Gallop estimates that workers who aren't engaged or actively disengaged

0:24:34.400 --> 0:24:37.160
<v Speaker 1>account for about one point nine trillion dollars in lost

0:24:37.200 --> 0:24:40.639
<v Speaker 1>productivity nationally. Why aren't problems of this scale a bigger

0:24:40.680 --> 0:24:45.560
<v Speaker 1>focus in Silicon Valley? And here's why. And there's a

0:24:45.600 --> 0:24:49.960
<v Speaker 1>recent paper that was just accepted peer reviewed. It's supposedly reliable.

0:24:50.080 --> 0:24:52.919
<v Speaker 1>I've anytime I hear peer reviewed paper these days, I

0:24:53.000 --> 0:24:58.159
<v Speaker 1>roll my eyes. But this one seems solid. Innovators disproportionately

0:24:58.200 --> 0:25:04.040
<v Speaker 1>create products for people like themselves, their sex, their income,

0:25:04.080 --> 0:25:09.200
<v Speaker 1>their age. Even accounting for market size, female entrepreneurs create

0:25:09.320 --> 0:25:13.560
<v Speaker 1>products with an eighteen percent higher female customer share than

0:25:13.640 --> 0:25:17.040
<v Speaker 1>male entrepreneurs in the same category. It's not shocking if

0:25:17.040 --> 0:25:21.040
<v Speaker 1>you think about it. Innovators from high income families are

0:25:21.040 --> 0:25:24.359
<v Speaker 1>more likely to create products bought by high income consumers.

0:25:25.480 --> 0:25:30.800
<v Speaker 1>More strikingly, entrepreneurs exposed to lower income peers during higher

0:25:30.920 --> 0:25:36.680
<v Speaker 1>education become more likely to enter necessity industries. Even having

0:25:36.800 --> 0:25:42.040
<v Speaker 1>like friends from low income groups. You start to see, Oh,

0:25:42.080 --> 0:25:46.359
<v Speaker 1>there are needs there that you didn't know before. You

0:25:46.440 --> 0:25:49.240
<v Speaker 1>know what you know? Right. The same pattern appears in

0:25:49.280 --> 0:25:54.160
<v Speaker 1>biomedical innovation. Female inventors are disproportionately likely to produce inventions

0:25:54.160 --> 0:26:00.440
<v Speaker 1>related to women's health, which again is not surprising. Roland

0:26:00.480 --> 0:26:03.400
<v Speaker 1>writes in Venture Capital, we have a name for this founder,

0:26:03.440 --> 0:26:07.160
<v Speaker 1>market fit. A founder who has lived a problem knows

0:26:07.200 --> 0:26:11.200
<v Speaker 1>things outsiders don't. I should have emphasized the word lived.

0:26:11.640 --> 0:26:15.639
<v Speaker 1>A founder who has lived a problem knows things outsiders don't,

0:26:16.640 --> 0:26:20.000
<v Speaker 1>what actually hurts, what customers will pay for, which workarounds

0:26:20.040 --> 0:26:22.760
<v Speaker 1>they already use, and which elegant solution will die on

0:26:22.840 --> 0:26:27.800
<v Speaker 1>contact with reality and that age old venture principle has

0:26:27.800 --> 0:26:32.800
<v Speaker 1>an uncomfortable corollary. If certain Americans rarely become venture backed founders,

0:26:33.280 --> 0:26:37.040
<v Speaker 1>the problems they understand intimately are less likely to become

0:26:37.200 --> 0:26:42.400
<v Speaker 1>startup ideas and venture capitalists know how to exploit a

0:26:42.440 --> 0:26:47.520
<v Speaker 1>founder market fit when they recognize the market, and he

0:26:47.560 --> 0:26:51.639
<v Speaker 1>gives several examples, and they've been incredibly lucrative, and then

0:26:51.760 --> 0:26:55.120
<v Speaker 1>he talks about well. He teaches a class called using

0:26:55.119 --> 0:27:00.359
<v Speaker 1>Markets to Solve Social Problems and for their major project

0:27:00.400 --> 0:27:02.240
<v Speaker 1>that the grade is based on, it's probably an A.

0:27:03.520 --> 0:27:06.240
<v Speaker 1>Students identify an important social problem and build a company

0:27:06.280 --> 0:27:09.960
<v Speaker 1>to solve it. Their choices are revealing. Last semester, one team,

0:27:10.119 --> 0:27:13.720
<v Speaker 1>led by a cancer survivor, proposed an Ai native care

0:27:13.800 --> 0:27:18.399
<v Speaker 1>coordinator for cancer patients. Another team was deeply concerned that

0:27:18.440 --> 0:27:22.000
<v Speaker 1>Harvard lacked hot cookie delivery at three am. It's solution

0:27:22.400 --> 0:27:30.800
<v Speaker 1>hotcookiest Ai. The project was dependent on the founders and

0:27:30.880 --> 0:27:34.040
<v Speaker 1>their knowledge and their passions. And so then he gets

0:27:34.080 --> 0:27:38.119
<v Speaker 1>into this venture fund he started that is trying to

0:27:38.119 --> 0:27:43.080
<v Speaker 1>solve this problem. But he writes, in nearly a decade,

0:27:43.160 --> 0:27:45.399
<v Speaker 1>I've never had a student say, you know what really

0:27:45.480 --> 0:27:49.800
<v Speaker 1>sucks getting government benefits? You know it really sucks coming

0:27:49.840 --> 0:27:52.440
<v Speaker 1>from home from prison and trying to find a job.

0:27:53.040 --> 0:27:57.119
<v Speaker 1>Are running a police department with antiquated software. I actually

0:27:57.200 --> 0:27:59.639
<v Speaker 1>have a couple of friends in that business. My students

0:27:59.680 --> 0:28:02.320
<v Speaker 1>aren't tell fish. Many have simply never encountered these systems,

0:28:02.840 --> 0:28:05.480
<v Speaker 1>and you can't have founder market fit in a market

0:28:05.520 --> 0:28:09.639
<v Speaker 1>you've never run into in your life. And where it

0:28:09.640 --> 0:28:13.760
<v Speaker 1>gets really interesting. And Tim Sanderford would happily weigh in

0:28:13.920 --> 0:28:18.280
<v Speaker 1>at this point. Is I mean, for instance, he mentions

0:28:18.440 --> 0:28:23.440
<v Speaker 1>Medicaid and until recently, someone who had spent twenty years

0:28:23.520 --> 0:28:27.720
<v Speaker 1>running medicaid programs might understand the customer better than almost

0:28:27.880 --> 0:28:34.480
<v Speaker 1>anyone alive, but had little chance of starting a software company.

0:28:35.040 --> 0:28:40.800
<v Speaker 1>There's just not overlap there. Giant, expensive government programs that

0:28:40.880 --> 0:28:44.680
<v Speaker 1>are desperate, desperate, desperate for this sort of technological leap

0:28:44.760 --> 0:28:48.560
<v Speaker 1>forward are not run by this sort of people who

0:28:48.600 --> 0:28:52.760
<v Speaker 1>can generate the interest in capital, or are the sort

0:28:52.800 --> 0:28:58.280
<v Speaker 1>of people who would have an enthusiasm for it anyway,

0:28:58.320 --> 0:29:04.160
<v Speaker 1>because government doesn't rewards success. In fact, government rewards failure.

0:29:03.760 --> 0:29:06.720
<v Speaker 1>If you're bad in your department doesn't accomplish its goal,

0:29:06.760 --> 0:29:09.000
<v Speaker 1>you get more money and more turf and more people

0:29:09.040 --> 0:29:11.600
<v Speaker 1>to try to quote unquote solve the problem. And then

0:29:11.640 --> 0:29:14.800
<v Speaker 1>the iron law of bureaucracy steps in and that dictates

0:29:14.800 --> 0:29:18.920
<v Speaker 1>that the bureaucracy just becomes about protecting the bureaucracy, and

0:29:18.960 --> 0:29:21.480
<v Speaker 1>it loses interest in solving its problem. It's just it's

0:29:21.480 --> 0:29:24.200
<v Speaker 1>all self protection and turf and budget at that point.

0:29:25.840 --> 0:29:31.760
<v Speaker 1>So his solution, because remember the name of his class

0:29:32.120 --> 0:29:38.240
<v Speaker 1>is solving using markets to solve social problems. What he's

0:29:38.280 --> 0:29:42.520
<v Speaker 1>trying to pitch, and I sure wish him luck is

0:29:43.560 --> 0:29:45.280
<v Speaker 1>and I'll just go ahead and quote him. I'm not

0:29:45.320 --> 0:29:49.080
<v Speaker 1>asking Silicon Valley to be less greedy, don't choose medicaid

0:29:49.240 --> 0:29:53.480
<v Speaker 1>over missiles, be greedier. There is serious money to be

0:29:53.600 --> 0:29:58.160
<v Speaker 1>made in both. So he's trying to find a way

0:29:58.200 --> 0:30:02.880
<v Speaker 1>to connect the knee of we the people and the

0:30:03.360 --> 0:30:07.400
<v Speaker 1>mind boggling amount of money that's being spent and made

0:30:08.640 --> 0:30:12.120
<v Speaker 1>in that with the tech innovators, which I think is great.

0:30:12.480 --> 0:30:15.480
<v Speaker 1>And at this point we're probably well beyond my expertise

0:30:15.520 --> 0:30:19.000
<v Speaker 1>and or ability to comprehend what he's proposing. But he's

0:30:19.040 --> 0:30:26.200
<v Speaker 1>absolutely right, he's absolutely right. You may have heard us

0:30:26.280 --> 0:30:28.560
<v Speaker 1>in the last couple of days, Katie and I discussing this,

0:30:28.600 --> 0:30:30.760
<v Speaker 1>and that's right when Jack jumped on last NUR, I

0:30:30.760 --> 0:30:33.959
<v Speaker 1>was telling him about it. We're now going to semi

0:30:34.040 --> 0:30:40.160
<v Speaker 1>regularly when we talk about government at whatever level. Government

0:30:40.240 --> 0:30:44.320
<v Speaker 1>spent thirty million dollars to reduce homelessness on the streets

0:30:44.320 --> 0:30:47.800
<v Speaker 1>of La. Oh, there's another great story about that coming up.

0:30:47.840 --> 0:30:50.800
<v Speaker 1>I think we'll try to squeeze that. But instead of

0:30:50.800 --> 0:30:57.479
<v Speaker 1>saying government spent, we've started to say somebody got twenty

0:30:57.480 --> 0:31:02.960
<v Speaker 1>million dollars to solve the homeless problem in LA. And

0:31:03.040 --> 0:31:06.320
<v Speaker 1>not to pat myself on the back, but I love

0:31:06.480 --> 0:31:11.640
<v Speaker 1>that juxtaposition. Somebody got it? Who what did they do?

0:31:13.080 --> 0:31:16.680
<v Speaker 1>Did we get our money's worth? If money spent, somebody

0:31:16.720 --> 0:31:22.920
<v Speaker 1>got it? Can we get the somebody got it to

0:31:23.040 --> 0:31:26.320
<v Speaker 1>go from bureaucrats who couldn't give a crap about you

0:31:26.360 --> 0:31:28.640
<v Speaker 1>and your tax money and don't give a crap about

0:31:28.720 --> 0:31:32.760
<v Speaker 1>solving the problem or even administering Medicaid or Medicare. They

0:31:32.760 --> 0:31:35.200
<v Speaker 1>don't care. They just want to stay out of trouble.

0:31:36.720 --> 0:31:41.120
<v Speaker 1>Can we get the market and innovators involved in that process?

0:31:41.840 --> 0:31:45.080
<v Speaker 1>If you know how, please run for president or Congress

0:31:45.160 --> 0:31:46.800
<v Speaker 1>or something. I'll vote for you. I will give you

0:31:46.840 --> 0:32:06.120
<v Speaker 1>money more tocom stay with us. I'm strong and so

0:32:06.240 --> 0:32:08.800
<v Speaker 1>speaking of a government not actually giving your crap and

0:32:09.040 --> 0:32:12.080
<v Speaker 1>solving the problems it's supposed to solve, this is good stuff.

0:32:12.120 --> 0:32:15.520
<v Speaker 1>This is actually the HUT Secretary Scott Turner in Federal Uh,

0:32:16.120 --> 0:32:21.360
<v Speaker 1>you know Department Cabinet Secretary in La talking about what

0:32:21.560 --> 0:32:25.680
<v Speaker 1>he's seen the city and county government's doing. Twenty seven. Michael,

0:32:25.920 --> 0:32:27.040
<v Speaker 1>this is a bag.

0:32:28.040 --> 0:32:32.360
<v Speaker 3>That I learned that they're given our homeless neighbors with

0:32:32.640 --> 0:32:34.280
<v Speaker 3>American taxpayer dollars.

0:32:34.680 --> 0:32:37.000
<v Speaker 1>And in this bag when you go in here now.

0:32:36.880 --> 0:32:39.440
<v Speaker 3>We're talking about helping the most vulnerable people in our country,

0:32:39.720 --> 0:32:41.040
<v Speaker 3>a continuum of care.

0:32:42.000 --> 0:32:42.720
<v Speaker 1>This is not a.

0:32:42.680 --> 0:32:45.840
<v Speaker 3>Continuum of care that I that I'm looking for. These

0:32:45.920 --> 0:32:49.880
<v Speaker 3>are This is drug paraphernalia. This brown bag that's handed

0:32:50.000 --> 0:32:54.959
<v Speaker 3>to people, homeless, people that are addicted to drugs, that

0:32:55.040 --> 0:33:00.840
<v Speaker 3>have mental illness. Hard working people's money needs together with

0:33:00.920 --> 0:33:03.280
<v Speaker 3>their hands to give to people that.

0:33:03.240 --> 0:33:05.760
<v Speaker 4>Are already addicted. That has to be over.

0:33:05.800 --> 0:33:06.800
<v Speaker 3>That's done.

0:33:07.840 --> 0:33:10.760
<v Speaker 1>Wow, I love that. And mentally ill people. Let's let's

0:33:10.760 --> 0:33:13.640
<v Speaker 1>give them powerful drugs to use. That'll help. Good God.

0:33:13.920 --> 0:33:17.800
<v Speaker 5>Next clip, we are exposing and weeding out waste across

0:33:17.800 --> 0:33:23.880
<v Speaker 5>the country. Oyg's audits have exposed unbelievable examples. Money that

0:33:23.920 --> 0:33:28.040
<v Speaker 5>should have should have supported the most vulnerable homeless Americans

0:33:28.040 --> 0:33:32.280
<v Speaker 5>in Los Angeles instead allegedly supported the purchase of one

0:33:32.320 --> 0:33:36.880
<v Speaker 5>hundred and twenty five thousand dollars range rover, private jet travel,

0:33:37.520 --> 0:33:40.680
<v Speaker 5>and a vacation home in Greece that costs almost half

0:33:40.840 --> 0:33:41.880
<v Speaker 5>a million dollars.

0:33:42.800 --> 0:33:46.880
<v Speaker 1>This is HUD funded. We've got to be so much

0:33:46.960 --> 0:33:49.880
<v Speaker 1>more harsh in our scrutiny of all these programs. Somebody's

0:33:49.880 --> 0:33:53.000
<v Speaker 1>getting that money and they're stealing it. Speaking of which,

0:33:53.680 --> 0:33:59.840
<v Speaker 1>American government education has become a union scam masquerading is

0:33:59.840 --> 0:34:03.840
<v Speaker 1>an education system. It's cash grab. This is powerful, Michael.

0:34:03.840 --> 0:34:05.800
<v Speaker 1>We're gonna go with twenty nine. This is a teacher

0:34:05.800 --> 0:34:08.600
<v Speaker 1>by the name of Darius Cooks. He's a teacher in Texas.

0:34:09.640 --> 0:34:13.480
<v Speaker 1>He was addressing social media when he lost it emotionally.

0:34:14.000 --> 0:34:18.360
<v Speaker 4>I literally broke down in the middle of class because

0:34:22.520 --> 0:34:28.719
<v Speaker 4>I'm teaching seniors. These kids are leaving high school and

0:34:28.840 --> 0:34:36.799
<v Speaker 4>going to college hopefully. After they finished, we had two

0:34:36.880 --> 0:34:47.240
<v Speaker 4>paragraphs to read, one sentence complete to write. I gave

0:34:47.360 --> 0:34:53.919
<v Speaker 4>them the sentence stamps. I basically completed the sentence for

0:34:54.000 --> 0:35:03.000
<v Speaker 4>them in the model. He's a seventeen an eighteen year

0:35:03.000 --> 0:35:12.640
<v Speaker 4>old kids, and they couldn't fill in four words four words.

0:35:16.800 --> 0:35:23.840
<v Speaker 4>I gave them the scenario we annotated together. I gave

0:35:23.920 --> 0:35:30.319
<v Speaker 4>them the answers before we even had the problem, and

0:35:30.400 --> 0:35:39.240
<v Speaker 4>they couldn't do it. I don't know. I simply don't

0:35:39.280 --> 0:35:41.759
<v Speaker 4>know where the problem is.

0:35:43.400 --> 0:35:45.680
<v Speaker 1>We need to take a break. We will be back

0:35:45.719 --> 0:35:48.520
<v Speaker 1>with more of Darius Cooks and what he says about

0:35:48.520 --> 0:35:52.040
<v Speaker 1>the reality at government schools. If you don't get Next Hour,

0:35:52.160 --> 0:35:55.120
<v Speaker 1>grab it via podcast later on Armstrong Yetty on demand.

0:35:55.120 --> 0:35:57.600
<v Speaker 1>You ought to subscribe at auto downloads and you can

0:35:57.640 --> 0:35:59.919
<v Speaker 1>just pick up the conversation right where it left off.

0:36:00.320 --> 0:36:04.280
<v Speaker 1>Got a major gender bending madness update coming up next

0:36:04.360 --> 0:36:08.480
<v Speaker 1>hour not to be missed, and gosh, all sorts of

0:36:08.960 --> 0:36:14.680
<v Speaker 1>good stuff as well. Oh old abdul l said, did

0:36:14.680 --> 0:36:17.839
<v Speaker 1>you know he proclaimed his obligation to follow Sharia law

0:36:17.920 --> 0:36:22.799
<v Speaker 1>every day of his life until he dies. Yeah, now

0:36:22.840 --> 0:36:27.680
<v Speaker 1>he denies it, but it's there. The Internet never forgets,

0:36:28.080 --> 0:36:30.959
<v Speaker 1>so we'll talk about him and his Islamist tendencies as well.

0:36:31.840 --> 0:36:35.960
<v Speaker 1>So again, hope you can stay tuned, a lot of

0:36:36.080 --> 0:36:38.720
<v Speaker 1>good stuff to get to and once again, if you can't,

0:36:38.760 --> 0:36:44.920
<v Speaker 1>just subscribe to Armstrong and Eddy on demand. Armstrong and

0:36:44.960 --> 0:36:45.280
<v Speaker 1>Getty