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Speaker 1: Everybody. It's Bill Courtney with an army of normal folks.

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Speaker 1: And we continue now with part two of our conversation

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Speaker 1: with Jonathan Kumar. Right after these brief messages from our

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Speaker 1: general sponsors, how did you get the five hundred people

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Speaker 1: to say, Okay, I'll download the app?

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Speaker 2: Ho?

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Speaker 3: Did you go to all the jolly good do gooders

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Speaker 3: and Seattle and say, hey, do you How did you

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Speaker 3: get people to buy into the app? Yeah?

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Speaker 2: I mean it's easier and harder said than Donna. I guess,

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Speaker 2: like because everyone's dealt with the problem.

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Speaker 4: Right.

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Speaker 2: If you live in a city, you're walcome by these

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Speaker 2: folks and first it's like we're in America and this

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Speaker 2: person's out here, like why does why is this happening?

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Speaker 2: And then like the dext problem once you sort of

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Speaker 2: get to sensitize, is like, Okay, he's asking me for

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Speaker 2: money or she's asking me for money. Do I have

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Speaker 2: any money? I don't, or if I do, I don't

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Speaker 2: want to hurt this person. I want to help. I

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Speaker 2: don't know how. I don't have time.

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Speaker 3: So you sold that idea and people said, yeah, I'll

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Speaker 3: download that.

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Speaker 4: Yeah, download that.

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Speaker 2: Anyone can download an app, so you know, we went

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Speaker 2: on radio shows and TV and read it and all

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Speaker 2: of this stuff and got five hundred. And the funny

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Speaker 2: thing is, like the app didn't do anything, Like we

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Speaker 2: didn't turn on the necklaces until five hundred people downloaded

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Speaker 2: that app, and it's like equipped it and installed it.

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Speaker 2: So we got the five hundred people that we turned

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Speaker 2: the fifty necklaces on the beacons we were calling them

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Speaker 2: and then yeah, like people started encountering each other.

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Speaker 3: Uh.

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Speaker 2: I remember the first time like we had an encounter.

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Speaker 2: I saw it in our database and some guy I

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Speaker 2: think his name was like Shiloh gave a dollar to

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Speaker 2: this guy named Charles, and like I was like brought

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Speaker 2: to tears and it was just so cool. We had

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Speaker 2: this function where you could add a message of and

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Speaker 2: curve uragement to your gift and the person would receive

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Speaker 2: it via text if they had a phone, via email

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Speaker 2: if they had email, or if they didn't have either,

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Speaker 2: and you know, maybe a third of our members didn't

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Speaker 2: have a phone or an email address. It would go

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Speaker 2: to their case manager and the case manager could read

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Speaker 2: it out to them the next time they encountered them.

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Speaker 3: Another thing that's interesting is the people experiencing homelessness with

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Speaker 3: the beacons around the neck are called members, that's right,

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Speaker 3: which has a air of distinction. It's not demoralizing, you remember.

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Speaker 4: It's actually what Back on my Feet called them too.

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Speaker 3: Yeah, it's very good. We've had them.

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Speaker 5: Well, they're in fifteen cities across the country.

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Speaker 3: Yeah, yeah, that's awesome. All right. So that's right though,

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Speaker 3: there's how you start.

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Speaker 4: That's going purple.

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Speaker 1: You got your your fifty beacon members, and you got

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Speaker 1: your five hundred at people dollar transpires you're sitting there

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Speaker 1: crying at your at yours. It's your computer screen, which

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Speaker 1: I think I would be too, And it's brilliant. And

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Speaker 1: you're reaching these people through the organizations that actually you're

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Speaker 1: reaching the members through the organizations that.

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Speaker 3: Are actually already providing some services. Keep going sure there,

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Speaker 3: yeah yeah, which, by the way, that in and of

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Speaker 3: itself is such a cool idea. It answers and e

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Speaker 3: raises so many issues.

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Speaker 4: So go ahead, yeah, thank you, thank you.

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Speaker 2: I mean, and I'm using past tense because you know,

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Speaker 2: we had to kind of work away from a lot

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Speaker 2: of that, which I can get into if there's time.

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Speaker 2: But you know, yeah, we call members, you know, they

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Speaker 2: they we gave them these like beingies, these hoodies, and

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Speaker 2: and like we wanted we use purple because it is

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Speaker 2: like tied to royalty or yeah, dignity recognition, and we

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Speaker 2: wanted it to be something where people felt honored, loved

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Speaker 2: and so yeah, so we're doing this and we're seeing

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Speaker 2: these encounters and people are getting money and they're able

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Speaker 2: to feel seen and encouraged and loved and recognized and

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Speaker 2: valued for the first time in years sometimes and we

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Speaker 2: see that this it. I think our biggest finding was

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Speaker 2: that this turn a switch in people's mind our members'

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Speaker 2: minds to keep pushing to say yes instead of no

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Speaker 2: when they were offered a job or a housing opportunity.

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Speaker 2: There in a lot of instances, like their whole perception

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Speaker 2: on life would change when we started just honoring people

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Speaker 2: and recognizing them and giving them ten dollars that I can.

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Speaker 4: Easily afford for you to use you for your needs.

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Speaker 2: Some of it probably went to alcohol, some of it

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Speaker 2: probably went to drugs, but it doesn't really matter because

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Speaker 2: they started checking in with their case manager to get

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Speaker 2: a new battery for their beacon, or we started we

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Speaker 2: developed these bonuses that people would earn, like we'd have

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Speaker 2: a donor give us one thousand dollars and say like, hey,

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Speaker 2: give it to anybody that needs it, and that thousand

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Speaker 2: dollars we would kind of bonus out based on people

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Speaker 2: doing healthy behaviors, so checking in with their case manager

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Speaker 2: or making it to an appointment, or attending a peer

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Speaker 2: recovery group. And so sometimes they were like earning these

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Speaker 2: these bonuses or these rewards for taking doing things that

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Speaker 2: you know, long term had much more lucrative benefits than

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Speaker 2: five ten, twenty dollars job interviews, resume workshops, whatever it was.

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Speaker 4: And yeah, so I think, you know, it's some.

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Speaker 2: It was very very hard because we needed to get

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Speaker 2: like the nonprofits and the members and then the Samaritans

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Speaker 2: we had to figure out our own funding. It was

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Speaker 2: very difficult over two or three years, but I think

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Speaker 2: we made a really impactful difference on that first Seattle

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Speaker 2: cohort of you know, five hundred to one thousand people

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Speaker 2: at them. And then you know, the story gets a

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Speaker 2: little bit more complicated because we built Samaritan very much

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Speaker 2: focused on who our end user was, but we didn't

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Speaker 2: and we just sort of trusted Coach that the money,

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Speaker 2: the funding, the revenue would would we would figure it out,

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Speaker 2: if we create enough value for this particular user, someone's

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Speaker 2: going to pay us to do this. Who that someone

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Speaker 2: is and why, Like that's that's going to it's yet

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Speaker 2: to be figured out. Most startups focus on like how

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Speaker 2: we're going to make money and grow this sustainably, and

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Speaker 2: we were focused on a really cool product that served

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Speaker 2: a really cool user base.

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Speaker 4: That had no real revenue plan behind it.

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Speaker 2: At first, we're like, okay, maybe you know, donors will

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Speaker 2: give us ten percent of whatever they give to our members,

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Speaker 2: they'll add ten percent and they'll come to us. But

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Speaker 2: for us to generate you know, even one hundred k

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Speaker 2: year in revenue two hudred and fifty k, we'd have

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Speaker 2: to be processing so many transactions that didn't work. Okay,

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Speaker 2: maybe we'll have cities pay for this foundations, And we

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Speaker 2: actually did get a contract from a downtown real estate

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Speaker 2: group that was like, hey, you know, if you can

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Speaker 2: help these folks living in our doorways on their way,

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Speaker 2: that helps our real estate values.

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Speaker 4: You know, if you if this works, you know, we'll

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Speaker 4: pay you some amount.

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Speaker 2: And so we got some early funding from them for

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Speaker 2: Seattle pilot. But ultimately, you know, we were trying to

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Speaker 2: sell to cities and say, hey, this is something that

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Speaker 2: will eliminate panhandling, will drive civic engagement and ultimately wily

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Speaker 2: drive outcomes for your homeless population.

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Speaker 4: And they liked the idea, they liked that.

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Speaker 2: We were doing it, but they're working with tax dollars

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Speaker 2: and they're pretty risk averse off cities counties. You know,

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Speaker 2: they might have offices of innovation or offices of technology,

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Speaker 2: but they typically don't invest in things that are not.

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Speaker 4: Like bulletproof, proven to work. And we were a startup,

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Speaker 4: so we go.

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Speaker 3: Which understandably so is tax dollars.

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Speaker 1: So how you lose your job as a bureaucrat You

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Speaker 1: waste a bunch of tax dollars.

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Speaker 2: And it's a lot of CIA attitudes from selected positions.

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Speaker 2: You know, they're not looking to really put themselves too

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Speaker 2: far out there, and they're like, hey, we found we

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Speaker 2: funded this this guy with an app and then a

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Speaker 2: self homelessness Like yeah.

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Speaker 1: I can imagine that going over grade at admit at

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Speaker 1: a city council meeting or something.

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Speaker 2: Right, So their money for homeless response goes to building

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Speaker 2: apartments and caseworkers, which I get.

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Speaker 4: There was no room for us.

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Speaker 2: We lost the city Council vote five to four November

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Speaker 2: of twenty nineteen around thanksgivings a deal I've been working

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Speaker 2: on for a year and a half, and that was

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Speaker 2: really hard, Like we had twenty of our members, ten

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Speaker 2: case managers show up the city Council tell them the

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Speaker 2: impact that this had had, and we still lost the vote,

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Speaker 2: and so the pandemic hit. The next year twenty twenty,

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Speaker 2: the world sort of ended, and you know, we were

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Speaker 2: like kind of running low on funding and a lot

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Speaker 2: of our projects froze, and we just didn't know exactly

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Speaker 2: how we were going to grow to serve tens of thousands,

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Speaker 2: hundreds of thousands of people on.

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Speaker 4: Or near the street.

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Speaker 2: And I guess what ended up happening was I had

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Speaker 2: this hypothesis given to me by a family friend who

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Speaker 2: was like, Hey, I heard about what you're doing and

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Speaker 2: how you're helping people on the street get into social services,

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Speaker 2: housing services, employment services through this generosity.

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Speaker 4: Could you add a layer?

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Speaker 2: Jonathan, he was in healthcare where you could get people

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Speaker 2: to go to their primary care appointments to behavioral health appointments.

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Speaker 2: Because if you could do that and you could generate

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Speaker 2: six primary care visits a year, you would save hospitals

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Speaker 2: a ton of money because all of these folks, because

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Speaker 2: of their exposure to homelessness, like we were talking about earlier,

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Speaker 2: they end up in the emergency room, they end up

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Speaker 2: in ambulances, they end up in the hospital, and they

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Speaker 2: have no money to pay, so the hospital loses a

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Speaker 2: lot of money. It gets complex because you put in Medicaid,

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Speaker 2: Insures and stuff, but.

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Speaker 3: Even medicating sures doesn't pay the hospital enough to cover

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Speaker 3: their expenses.

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Speaker 4: That's right, that's right.

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Speaker 1: So either they don't get paid at all, or they

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Speaker 1: still don't get paid enough to.

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Speaker 4: Even cover the bals. That's right, that's right.

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Speaker 3: And it is such a big problem.

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Speaker 1: When I was reading this about your story, and this

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Speaker 1: is where it gets really interesting. Well, it's all been

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Speaker 1: interesting with this. Really, this is where the eureka happens

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Speaker 1: for you, but for everybody needs to hear this. And

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Speaker 1: this may be happening all over the country, but in

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Speaker 1: the South especially, we are starting to build hospitals without

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Speaker 1: a RS, just not even putting an er in, just

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Speaker 1: building a hospital with doc softs downstairs and rooms upstairs.

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Speaker 3: And here's why.

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Speaker 1: If you don't have an AR, you don't get the

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Speaker 1: ending of walking in and you don't have this massive

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Speaker 1: outflow of cash that you can never massive outflow of expenses.

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Speaker 1: That so they are now building hospitals without rs for

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Speaker 1: this very reason.

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Speaker 4: I actually had no idea. That's insane.

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Speaker 3: One.

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Speaker 4: I was actually surprised that it's legal.

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Speaker 3: It's not only legal, but it's happening.

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Speaker 4: It's happening.

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Speaker 3: So but the point is, and that seems so callous

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Speaker 3: and mean, but there are also hospitals today shutting their

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Speaker 3: doors because they can't overcome the burden of the R.

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Speaker 3: So do you have a hospital at all? Do you

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Speaker 3: have any hospital? I mean, it's a real problem for

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Speaker 3: the healthcare world, and.

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Speaker 4: So they have to be sustainable.

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Speaker 3: That's what this guy says to you.

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Speaker 4: Yeah, so what do you do? That's right.

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Speaker 2: So we we took that and we were kind of

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Speaker 2: at the end of our thread and we got to

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Speaker 2: find something that will help us grow at the clip

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Speaker 2: we need to. And we had picked up a couple

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Speaker 2: of projects here and there. We were testing in Orange County,

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Speaker 2: testing Oklahoma City, and but we were like, Okay, we're

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Speaker 2: going to try and hit your wagons to selling hospitals

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Speaker 2: into instead of elected officials at cities.

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Speaker 4: And if we make it. We make it.

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Speaker 2: If we don't, we're gonna all be at different jobs

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Speaker 2: in a year. And and and so yeah, there was

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Speaker 2: like a hospital incubator in Washington that kind of gave

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Speaker 2: us a shot. We started testing out our approaches and

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Speaker 2: then yeah, like we we said like, hey, to your ers,

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Speaker 2: give this. And then we ended up switching from the

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Speaker 2: bluetooth beacon. We we had to kill that technology because

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Speaker 2: of the pandemic. Actually, we didn't have any like organic

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Speaker 2: encounters anymore. You know, foot traffic stopped in in our

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Speaker 2: downtown areas, and and the beacons were expensive operationally and

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Speaker 2: financially to keep up. So we switched to this membership

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Speaker 2: card as well. It's like this like heavy metallic thing.

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Speaker 2: It's pretty nice, I think. And so so we gave

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Speaker 2: the We just told these hospitals like, hey, give this

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Speaker 2: to your homeless population on their way out of the er.

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Speaker 2: They'll start earning rewards for doing positive act taking positive

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Speaker 2: actions like going to primary care, going to social services,

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Speaker 2: connecting with their case manager, getting their dialysis treatment at

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Speaker 2: the clinic this week so they don't end up in

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Speaker 2: the er and needing an emergency transfusion next week. We'll start,

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Speaker 2: you know, giving them these rewards based on capital we've

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Speaker 2: put together, and then we'll give them the social support

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Speaker 2: as well from everyday volunteers, every day Samaritans that were

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Speaker 2: able to sign up in your inner region. And our

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Speaker 2: expectation is that if you give out one hundred of

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Speaker 2: these cards, two hundred of these cards and pay us,

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Speaker 2: you know, a sustainable rate that these that sixty percent

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Speaker 2: of these people you give the hard cards too, so

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Speaker 2: sixty out of one hundred will significantly reduce their future

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Speaker 2: er visits, their future hospitalizations. One hospital in Los Angeles

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Speaker 2: because of the pandemic, hadn't used their catering budget for

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Speaker 2: the year of twenty twenty because they weren't doing in

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Speaker 2: person meetings, so their executive catering budget was still on

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Speaker 2: the books, and they were like, well, we have one

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Speaker 2: hundred k about in catering budget that we have in

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Speaker 2: use why not try it on this for twenty twenty one.

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Speaker 3: You've got their catering budgets.

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Speaker 4: Got their catering budget.

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Speaker 3: That's hilarious.

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Speaker 2: Yeah, And that's what kind of gave us our start

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Speaker 2: in twenty twenty one to start working on this use

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Speaker 2: case where hospitals are the ones holding the bag, maybe

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Speaker 2: even more than cities. It's a lot less complex in

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Speaker 2: the sense and if we can solve for the stability

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Speaker 2: of people outside the hospital walls, they're a lot less

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Speaker 2: likely to come back to the hospital in the future.

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Speaker 2: And if we can prove that, there's a lot of

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Speaker 2: money that we can generate to solve this problem for

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Speaker 2: hospitals and Medicaid insures.

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Speaker 3: And so that was the polem, I guess, yeah, yeah,

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Speaker 3: and we proved it, like, yeah, tell us how it worked.

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Speaker 2: Yeah, So we gave out two hundred cards, watched them

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Speaker 2: for a year with a third party. Kaiser Permanente's research

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Speaker 2: group actually did a third party evaluation on this.

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Speaker 1: And I guess because the card, when it's tapped or swipe,

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Speaker 1: you're constantly collecting data on your members, right, so you

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Speaker 1: know what they're doing.

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Speaker 2: Yeah. Yeah, So it wasn't even like we were watching

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Speaker 2: how the money was being spent, but we're tracking like

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Speaker 2: what the person is earning these bonuses for doing, and it's.

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Speaker 4: It's like all of these positive action steps related.

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Speaker 2: And so when the person gets the card or the

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Speaker 2: membership on their way out of the er or sometimes

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Speaker 2: on the street or in a clinic, the person activating

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Speaker 2: the membership with them is asking them their goals, where

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Speaker 2: do you want to be and then developing action steps

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Speaker 2: for the next two, seven, fourteen, twenty eight days around

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Speaker 2: what's going to help them get closer to those goals.

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Speaker 2: So those action steps are different for everyone. There's a

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Speaker 2: lot of common things that gets ready.

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Speaker 1: Yeah, and so if they go to a case manager

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Speaker 1: or something, or they go get their dallases.

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Speaker 4: They five ten twenty bucks.

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Speaker 3: Okay, so when they go to the dallass person, how

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Speaker 3: do they get the ten bucks? And how do you

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Speaker 3: know they're there? You see what I'm saying.

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Speaker 4: Yeah, yeah, definitely.

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Speaker 2: So either the Dallas's clinic has the Samaritan app and

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Speaker 2: kind of marks hey, this action step was completed, or

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Speaker 2: they're able to provide some verification back to their primary

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Speaker 2: case manager, like some sort of validation that hey I

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Speaker 2: did that.

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Speaker 1: I got to work on your part, because you've got

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Speaker 1: to get all these clinics set up to accept and

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Speaker 1: give out these cards.

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Speaker 2: That's that's why our Samaritan has evolved into less of

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Speaker 2: we haven't had the capacity to do as much volunteer activation,

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Speaker 2: army of normal folks activation as much as healthcare activation, clinic,

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Speaker 2: social services activation. We're partnering with these frontline care teams

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Speaker 2: who are giving these cards out, capturing the goals, action steps,

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Speaker 2: and then like marking on the back end when they've

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Speaker 2: been completed, which awards these dollars. We do have additional

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Speaker 2: dollars unconditional following a flowing in from donors. We don't

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Speaker 2: have as much of the passerby thing anymore, which is sad,

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Speaker 2: but we do have donors who live in LA who

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Speaker 2: are like, I want to I want to make a

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Speaker 2: dent in this homelessess crisis, and I want to do

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Speaker 2: it most efficiently by giving to the people themselves in

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Speaker 2: a way that one hundred dollars, which makes a huge

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Speaker 2: difference in someone's month, you know, can actually really help.

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Speaker 3: All right, Yeah, so that first pile up, what did

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Speaker 3: it prove these people to.

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Speaker 2: Chase Yeah, yeah, yeah, So to we give out two

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Speaker 2: hundred cards and they one hundred and twenty or one

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Speaker 2: hundred and fifty to them materially improve their access to care,

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Speaker 2: to healthcare, to income or benefits or housing. And we

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Speaker 2: saw that show up in the following year's data on

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Speaker 2: health care costs. There was an eighteen percent reduction in

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Speaker 2: cost of care from like when from the year prior

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Speaker 2: to getting the membership to post membership, and that eighteen

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Speaker 2: percent was actually when they compared the population the two

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Speaker 2: hundred people that got the car to the rest of

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Speaker 2: the homeless patients that didn't get the card. Initially, the

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Speaker 2: rest of the population, their cost increased by about thirty

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Speaker 2: six percent.

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Speaker 3: So it was really a fifty four percent that's.

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Speaker 2: Right, that's right, that's right. So the we bent the

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Speaker 2: cost curve down instead of them rising thirty yeah, six percent,

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Speaker 2: they bent down eighteen percent of fifty four percent difference

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Speaker 2: from people who had access to Samaritan to people who didn't.

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Speaker 3: Did the hospital give you a sense of what that

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Speaker 3: equated to?

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Speaker 2: And dollars five thousand dollars per person per year in difference,

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Speaker 2: so spokes, Yeah, two hundred people is like a million bucks.

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Speaker 1: That's of an investment for one hundred thousand dollars of

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Speaker 1: sandwiches they did need.

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Speaker 4: That's exactly right.

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Speaker 1: So so for their one hundred thousand dollars investment, they

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Speaker 1: netted at one point nine million dollar gain in the

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Speaker 1: outflow of services.

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Speaker 4: Yeah, it has like a million something like that.

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Speaker 5: Yeah, five thousand times two hundred million, So they netted nine.

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Speaker 3: Thousand, nine sorry, nine hundred thousand.

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Speaker 2: Ten to one return on investment for doing the right

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Speaker 2: thing and helping their their unhouse population in a new way.

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Speaker 2: The hospital had to have an extatic Yeah, and so

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Speaker 2: obviously we raised our rates and they raised their commitment

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Speaker 2: in terms of, you know, how many lives we'd serve

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Speaker 2: for how many years?

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Speaker 4: And it was sort of.

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Speaker 2: A seminal study that has helped us now get contracts

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Speaker 2: with you know, Fortune one hundred insurers and hospitals.

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Speaker 3: We'll be right back one about of Grace's psychology.

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Speaker 1: And so there's a whole lot of stuff like this

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Speaker 1: where you have your control group and all of effectively,

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Speaker 1: your control group was everybody else. Your test group was

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Speaker 1: the two hundred card giver. That's right, the members, that's right.

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Speaker 1: I can't imagine that hospital not saying, okay, now give

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Speaker 1: us a thousand cards. We're giving these things to every

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Speaker 1: person that walks through our doors. Now, yeah, every single

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Speaker 1: house person. Is that what they did, and that's that's

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Speaker 1: the goal.

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Speaker 2: I think, you know what happens in practice is they

387
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Speaker 2: can't take the financial risk upfront and pay for a

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Speaker 2: thousand cards or capped. We're trying to get to uncapped,

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Speaker 2: and both sides are we're sitting on the same side

390
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Speaker 2: of the table saying we want things like this in

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Speaker 2: the hands of every homeless patient we have.

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Speaker 4: That's not the issue.

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Speaker 2: The issue is like, how can we as a health

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Speaker 2: system afford and kind of pay for this. We do

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Speaker 2: need to see you know, multiple years or you know,

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Speaker 2: multiple cohorts, and so we're going to grow with.

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Speaker 4: You, guys, and we're gonna let you.

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Speaker 2: I mean, we were charging forty two dollars per person

399
00:21:00,680 --> 00:21:04,679
Speaker 2: per month at the time, and for a lot of reasons,

400
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Speaker 2: that wasn't a sustainable rate. So you know, we got

401
00:21:07,560 --> 00:21:09,800
Speaker 2: up to one hundred dollars per person per month, and

402
00:21:09,960 --> 00:21:12,800
Speaker 2: we're continuing to grow based on the impact we're having,

403
00:21:12,800 --> 00:21:15,880
Speaker 2: the savings that we're generating from there, so we're able

404
00:21:15,920 --> 00:21:17,760
Speaker 2: to raise our rates and the cohort's eyes.

405
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Speaker 3: It's so simple.

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Speaker 1: If you're saving five thousand dollars a person and you're

407
00:21:21,880 --> 00:21:24,840
Speaker 1: spending one hundred dollars a month twelve hundred person, you're

408
00:21:24,880 --> 00:21:28,400
Speaker 1: literally saving thirty eight hundred dollars per remember that are

409
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Speaker 1: walking through your doors.

410
00:21:30,160 --> 00:21:30,640
Speaker 4: That's right.

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Speaker 2: So I mean it's the best it's like the best

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Speaker 2: possible scenario where you're saving cash and you're making lives

413
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Speaker 2: better off.

414
00:21:37,320 --> 00:21:39,399
Speaker 1: Yeah, and then that's when I say anything about the

415
00:21:39,440 --> 00:21:44,920
Speaker 1: fact that these unhoused people are now getting the taking

416
00:21:45,000 --> 00:21:46,119
Speaker 1: better care of themselves.

417
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Speaker 4: They're going to live longer and those years are going

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Speaker 4: to be better lived.

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Speaker 1: All right, So that's hospital one. What's next after that?

420
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Speaker 1: Back in twenty twenty one, I think you.

421
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Speaker 2: Said, yeah, so this data is coming out now. It

422
00:21:58,720 --> 00:22:01,200
Speaker 2: is like twenty twenty three. You know, we're we're kind

423
00:22:01,240 --> 00:22:06,160
Speaker 2: of selling to different hospitals or health insurance Medicaid plans

424
00:22:06,240 --> 00:22:10,080
Speaker 2: end up being our biggest partner, and so so yeah,

425
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Speaker 2: I mean that study has helped us get contracts with

426
00:22:13,640 --> 00:22:21,720
Speaker 2: United Healthcare, at Na, Molina, el Advance, Humana senteen. These

427
00:22:21,720 --> 00:22:25,120
Speaker 2: are six companies on the Fortune one hundred and all

428
00:22:25,160 --> 00:22:29,040
Speaker 2: of them have this really interesting financial incentive to drive

429
00:22:29,080 --> 00:22:33,400
Speaker 2: stability for their highest cost populations, which, if you look

430
00:22:33,440 --> 00:22:36,480
Speaker 2: at their roles or their kind of member expenses, their

431
00:22:36,520 --> 00:22:40,159
Speaker 2: most expensive patients or members are people experiencing homelessness.

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Speaker 4: So we've been.

433
00:22:41,880 --> 00:22:47,040
Speaker 2: Able to get early contracts with these groups, and.

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Speaker 4: So it's working.

435
00:22:49,960 --> 00:22:52,919
Speaker 2: I think that the challenging thing is bill, like we

436
00:22:53,040 --> 00:22:55,560
Speaker 2: used to be able to when we had like city contracts,

437
00:22:56,680 --> 00:22:59,040
Speaker 2: give out these cards to every person that we saw

438
00:22:59,040 --> 00:23:00,560
Speaker 2: on the street. Like you and I could take a

439
00:23:00,640 --> 00:23:03,280
Speaker 2: drive downtown Memphis, see a person in need, give them

440
00:23:03,280 --> 00:23:06,760
Speaker 2: a part, sign them up. That can't happen anymore because

441
00:23:07,160 --> 00:23:09,199
Speaker 2: it has to be an ETNA member, it has to

442
00:23:09,240 --> 00:23:11,800
Speaker 2: be United Healthcare, it has to be a patient. In

443
00:23:11,840 --> 00:23:16,960
Speaker 2: this system, eligibility is restricted to the people that I

444
00:23:16,960 --> 00:23:18,720
Speaker 2: don't want to say it like this, but that they

445
00:23:18,720 --> 00:23:22,800
Speaker 2: care about most. And we can't just give it to anyone.

446
00:23:23,600 --> 00:23:27,120
Speaker 2: And so my work now that we've been and we're

447
00:23:27,119 --> 00:23:31,720
Speaker 2: growing in this kind of healthcare use case is to

448
00:23:31,800 --> 00:23:35,040
Speaker 2: double back to the counties, to the cities and say, hey,

449
00:23:35,080 --> 00:23:39,000
Speaker 2: this is something that should be available for everybody, everyone

450
00:23:39,040 --> 00:23:41,880
Speaker 2: that's under the poverty liner, everyone's ten percent or lower.

451
00:23:42,000 --> 00:23:43,840
Speaker 3: But now you have a story to tell because it works,

452
00:23:44,119 --> 00:23:48,480
Speaker 3: it works, you can model and improve it. So how

453
00:23:48,520 --> 00:23:54,199
Speaker 3: are you scaling the tech solution for escaping homelessness without

454
00:23:54,240 --> 00:23:58,320
Speaker 3: losing the humanity part of it? And the answer is

455
00:23:58,800 --> 00:24:01,520
Speaker 3: you're now saying we're going.

456
00:24:02,200 --> 00:24:05,840
Speaker 1: Back to the municipalities now to say let's have this

457
00:24:05,960 --> 00:24:06,480
Speaker 1: for everyone.

458
00:24:07,240 --> 00:24:10,280
Speaker 2: Yeah, I mean, unfortunately, we've had to cut certain parts

459
00:24:10,280 --> 00:24:12,840
Speaker 2: of the identity that we started. We don't have like

460
00:24:12,920 --> 00:24:16,680
Speaker 2: the commuter focus anymore, and we don't have the army

461
00:24:16,680 --> 00:24:19,440
Speaker 2: of normal people because we've grown actually quite a bit,

462
00:24:20,040 --> 00:24:23,600
Speaker 2: and we haven't been able to do volunteer acquisition army

463
00:24:23,640 --> 00:24:28,320
Speaker 2: acquisition to match the speed at which we're growing. We

464
00:24:28,359 --> 00:24:30,520
Speaker 2: want to have thirty Samaritans, which is what we call

465
00:24:30,560 --> 00:24:36,000
Speaker 2: the volunteers for every person every member thirty because that's

466
00:24:36,040 --> 00:24:36,560
Speaker 2: the number of.

467
00:24:36,600 --> 00:24:37,280
Speaker 4: Days in a month.

468
00:24:38,160 --> 00:24:41,240
Speaker 2: Our call is that if you're on someone's team, you

469
00:24:41,280 --> 00:24:42,719
Speaker 2: do one thing a month for that person.

470
00:24:42,960 --> 00:24:43,600
Speaker 4: That's nothing.

471
00:24:43,960 --> 00:24:46,480
Speaker 2: But if you have thirty people on someone's team, that

472
00:24:46,520 --> 00:24:49,720
Speaker 2: person gets blessed every day of the month. You know,

473
00:24:49,760 --> 00:24:53,320
Speaker 2: they're given something to make them smile. And we have

474
00:24:53,400 --> 00:24:55,000
Speaker 2: not as a team been able to sort of keep

475
00:24:55,119 --> 00:25:00,199
Speaker 2: up with like getting thirty volunteers for every member. We

476
00:25:01,200 --> 00:25:04,639
Speaker 2: Most of the support we provide is through hiring people

477
00:25:04,680 --> 00:25:08,000
Speaker 2: with lived experience to be like phone buddies or text

478
00:25:08,000 --> 00:25:11,479
Speaker 2: buddies with their members, and then providing the financial capital

479
00:25:11,520 --> 00:25:14,919
Speaker 2: from donors. The hospitals and the insures are actually providing

480
00:25:14,920 --> 00:25:18,359
Speaker 2: a bunch of capital. Now that the members can earn from.

481
00:25:18,640 --> 00:25:19,479
Speaker 2: So it looks different.

482
00:25:19,880 --> 00:25:22,119
Speaker 5: Can you shout out what cities you're in? So so

483
00:25:22,640 --> 00:25:25,000
Speaker 5: people are listening if they are interested in being one

484
00:25:25,000 --> 00:25:25,640
Speaker 5: of those Samaritans.

485
00:25:25,960 --> 00:25:27,560
Speaker 3: What cities are you in? Yes?

486
00:25:27,720 --> 00:25:33,719
Speaker 2: Yes, so you know Sacramento, Oakland, La San Diego are

487
00:25:33,720 --> 00:25:37,360
Speaker 2: big focuses of ours in California. We've recently expanded into

488
00:25:37,800 --> 00:25:40,360
Speaker 2: the Inland Empire, which is east of LA are looking

489
00:25:40,400 --> 00:25:43,719
Speaker 2: at Orange County as well. And outside of California, a

490
00:25:43,760 --> 00:25:46,320
Speaker 2: lot of our work is in Louisville. Actually they've got

491
00:25:46,359 --> 00:25:47,600
Speaker 2: a big problem and.

492
00:25:48,280 --> 00:25:51,360
Speaker 3: Villa Memphis are not that dissimilar in that board.

493
00:25:51,520 --> 00:25:53,680
Speaker 5: Here man is there, So I'm sure as a driver yea.

494
00:25:54,359 --> 00:25:58,920
Speaker 2: So we had an innovation funder called Access Ventures. Great guys,

495
00:25:59,280 --> 00:26:01,920
Speaker 2: they sort of brought us to Louisville and they said,

496
00:26:01,960 --> 00:26:03,800
Speaker 2: here's I forgot it was like seventy five K or

497
00:26:03,800 --> 00:26:05,120
Speaker 2: one hundred K or something like that.

498
00:26:05,440 --> 00:26:08,000
Speaker 4: Get it started. Let's get data and bring it to

499
00:26:08,240 --> 00:26:10,080
Speaker 4: human at NOA of Kentucky.

500
00:26:10,400 --> 00:26:12,239
Speaker 2: We did it and they bought in for a year

501
00:26:12,359 --> 00:26:15,160
Speaker 2: two and then what I'm really excited about is there's

502
00:26:15,200 --> 00:26:19,560
Speaker 2: five Medicaid plans in Kentucky and based on the results

503
00:26:19,560 --> 00:26:22,000
Speaker 2: for the two first ones, all five of them have

504
00:26:22,040 --> 00:26:24,399
Speaker 2: bought in, So that means if you're on Medicaid and

505
00:26:24,400 --> 00:26:27,919
Speaker 2: you're homeless in Louisville, Jefferson County, you can get one

506
00:26:27,960 --> 00:26:30,879
Speaker 2: of these cars. And that's the widest eligibility we've had

507
00:26:30,920 --> 00:26:33,760
Speaker 2: since starting sort of the medical model. And now we

508
00:26:33,800 --> 00:26:35,679
Speaker 2: want to be able to, you know, after like the

509
00:26:35,760 --> 00:26:38,600
Speaker 2: five Medicaid plan pilot, we want to be able to

510
00:26:38,640 --> 00:26:41,760
Speaker 2: take that data back to Jefferson County and then yeah,

511
00:26:42,160 --> 00:26:46,520
Speaker 2: regardless of citizenship status, regardless of Medicaid status, if you're

512
00:26:46,560 --> 00:26:49,240
Speaker 2: on the street or you're you know, below this income threshold,

513
00:26:49,680 --> 00:26:52,400
Speaker 2: you are eligible or membership from Samaritan.

514
00:26:52,600 --> 00:26:56,040
Speaker 3: And it helps the people. But from a pragmatic standpoint,

515
00:26:56,320 --> 00:27:01,159
Speaker 3: it saves our healthcare system money, which effectively saves us

516
00:27:01,160 --> 00:27:03,359
Speaker 3: all money because our rates don't go up as quick

517
00:27:03,400 --> 00:27:05,080
Speaker 3: when they don't have that expenses that they have.

518
00:27:05,200 --> 00:27:08,520
Speaker 4: That's right. Yeah, and there's also non medical costs that

519
00:27:08,560 --> 00:27:11,200
Speaker 4: we need to look at, jail time shelters.

520
00:27:12,080 --> 00:27:13,480
Speaker 3: Yeah, that's very good point.

521
00:27:13,800 --> 00:27:16,560
Speaker 2: So I think for every dollar that the medical model

522
00:27:16,600 --> 00:27:19,880
Speaker 2: spends on someone experiencing homelessness, there's a county dollar that's

523
00:27:19,920 --> 00:27:22,040
Speaker 2: being spent as well in some resource.

524
00:27:22,080 --> 00:27:25,400
Speaker 1: Nine to one, and as you're as businesses are recruiting

525
00:27:25,640 --> 00:27:29,560
Speaker 1: to your city, the cleaner, the nicer the city, the

526
00:27:29,640 --> 00:27:31,760
Speaker 1: more people that are all of that. I mean, there's

527
00:27:31,840 --> 00:27:35,199
Speaker 1: an enormous amount of I don't know how you qualify

528
00:27:35,359 --> 00:27:38,640
Speaker 1: those benefits, but they're they're really infinite.

529
00:27:38,880 --> 00:27:42,480
Speaker 2: Yeah, there's a big opportunity here, and so you know,

530
00:27:42,520 --> 00:27:44,960
Speaker 2: we've sort of upgraded our goals to get to not

531
00:27:45,000 --> 00:27:47,800
Speaker 2: one hundred thousand lives but two hundred and fifty thousand

532
00:27:47,840 --> 00:27:49,120
Speaker 2: lives by twenty thirty two.

533
00:27:50,080 --> 00:27:52,760
Speaker 4: And you know we're we're in that process now.

534
00:27:53,760 --> 00:27:54,880
Speaker 3: So yeah, what about New York?

535
00:27:55,440 --> 00:27:56,960
Speaker 4: Oh yeah, yeah, I forgot the other cities.

536
00:27:57,000 --> 00:28:01,240
Speaker 2: So yeah, we've tested in Seattle obviously, a bunch of cities, California, Louisville,

537
00:28:01,760 --> 00:28:06,600
Speaker 2: and then we've tested in Jacksonville, Baltimore. It looks like

538
00:28:06,640 --> 00:28:10,000
Speaker 2: we're gonna be standing in Virginia Beach this year. We've

539
00:28:10,080 --> 00:28:12,760
Speaker 2: tested in New York, which is just its own animal.

540
00:28:13,320 --> 00:28:15,240
Speaker 2: You know, it's funny, like, yeah, you think about homeless,

541
00:28:15,280 --> 00:28:16,440
Speaker 2: you probably think of San Francisco.

542
00:28:16,720 --> 00:28:17,760
Speaker 4: We haven't launched there.

543
00:28:18,240 --> 00:28:22,760
Speaker 2: New York is a very very complex thing where yeah,

544
00:28:22,920 --> 00:28:24,679
Speaker 2: we've tested out in Staten Island, which.

545
00:28:24,560 --> 00:28:26,520
Speaker 4: Is one of the boroughs in New York, and we're in.

546
00:28:26,480 --> 00:28:30,800
Speaker 2: The process of hopefully hopefully expanding to Manhattan, Brooklyn and

547
00:28:30,880 --> 00:28:31,880
Speaker 2: Queens the Bronx.

548
00:28:32,760 --> 00:28:37,800
Speaker 3: So I just can't imagine. I don't I can't imagine

549
00:28:38,000 --> 00:28:43,520
Speaker 3: any area not wanting this. What's the what's the barrier?

550
00:28:45,120 --> 00:28:50,160
Speaker 2: I mean innovation and these big behemoth systems moves slow

551
00:28:50,320 --> 00:28:52,560
Speaker 2: and and a lot of the here the thing is

552
00:28:52,600 --> 00:28:55,920
Speaker 2: actually and I love that you you see the value,

553
00:28:55,920 --> 00:28:58,960
Speaker 2: you should just join our sales team, you know.

554
00:28:58,960 --> 00:29:02,160
Speaker 4: Come work with us and they get job that's.

555
00:29:02,080 --> 00:29:06,200
Speaker 2: Just out of hard woods man come comes self homelessness.

556
00:29:06,720 --> 00:29:09,720
Speaker 4: Uh so, let me know.

557
00:29:09,800 --> 00:29:13,200
Speaker 2: But if you're a person of color in this country

558
00:29:13,280 --> 00:29:16,840
Speaker 2: right now, you're you're marginalized in some way. Uh it's

559
00:29:16,920 --> 00:29:18,840
Speaker 2: it's a harder time now than it was for you

560
00:29:18,920 --> 00:29:23,400
Speaker 2: a couple of years ago. And like services that serve

561
00:29:23,480 --> 00:29:27,840
Speaker 2: you on the street are are being defunded and funding

562
00:29:27,920 --> 00:29:32,040
Speaker 2: is being cut. And it's just we're selling into a market,

563
00:29:32,080 --> 00:29:33,480
Speaker 2: We're trying to grow into a market.

564
00:29:33,640 --> 00:29:34,600
Speaker 4: Who's who's there?

565
00:29:34,680 --> 00:29:39,520
Speaker 2: Funding like MEDICAIDS funding, Safety Net hospitals funding is being cut,

566
00:29:39,640 --> 00:29:45,760
Speaker 2: is being reduced, staff layoffs, innovations, budgets being eliminated, and

567
00:29:45,840 --> 00:29:48,719
Speaker 2: so we're trying to grow our share, grow our our

568
00:29:48,920 --> 00:29:53,160
Speaker 2: our revenue in a market that's shrinking. So that's that's

569
00:29:53,440 --> 00:29:57,000
Speaker 2: that's one barrier, and then you know, change takes time.

570
00:29:57,440 --> 00:30:01,160
Speaker 5: I'd say too, I know we were joking about you're

571
00:30:01,160 --> 00:30:04,680
Speaker 5: doing a sales job, but everybody, not everybody listening, but

572
00:30:04,680 --> 00:30:08,320
Speaker 5: a lot of people listening will have relevant connections. I mean,

573
00:30:08,400 --> 00:30:10,840
Speaker 5: just take here at Memphis, right, there's Baptist Hospital. There's

574
00:30:10,840 --> 00:30:13,240
Speaker 5: probably some listeners who know some of the people at Baptist. Right,

575
00:30:13,720 --> 00:30:16,120
Speaker 5: people have contacts and medicaids. So I mean, I really

576
00:30:16,160 --> 00:30:18,800
Speaker 5: do think it's a way of the army acting that

577
00:30:18,840 --> 00:30:20,640
Speaker 5: we need to do more of too. Of Hey, who's

578
00:30:20,640 --> 00:30:23,560
Speaker 5: in your personal network that you could share this episode

579
00:30:23,600 --> 00:30:26,160
Speaker 5: with and start a conversation And you may not even

580
00:30:26,200 --> 00:30:28,240
Speaker 5: full time fit sales for Samaritan, but look, you could

581
00:30:28,240 --> 00:30:31,080
Speaker 5: spend an hour on this and make a huge impact.

582
00:30:31,160 --> 00:30:34,600
Speaker 1: Let me tell you something. The mid South. Memphis is

583
00:30:34,640 --> 00:30:41,120
Speaker 1: what's considered the center of the Mid South, the mid South, right,

584
00:30:41,560 --> 00:30:46,960
Speaker 1: and the I mean we're Metropolgenary's a couple million people, right,

585
00:30:47,040 --> 00:30:51,520
Speaker 1: So the closest cities to Memphis are three hours away

586
00:30:51,560 --> 00:30:54,680
Speaker 1: in Nashville, two hours away in Little Rock and Little

587
00:30:54,760 --> 00:30:58,360
Speaker 1: Rocks half million people. So it's not like a bi metropolis,

588
00:30:58,440 --> 00:31:02,200
Speaker 1: but it's a city. Jacks in Mississippi is only three hundred people.

589
00:31:02,240 --> 00:31:04,880
Speaker 1: It's three hours south and then Louisville to the north.

590
00:31:04,920 --> 00:31:08,040
Speaker 1: So I mean, if you think Memphis is a massive

591
00:31:08,200 --> 00:31:13,120
Speaker 1: footprint in terms of square area square miles, the only

592
00:31:13,480 --> 00:31:16,600
Speaker 1: Level one trauma center within that entire areas.

593
00:31:17,560 --> 00:31:18,400
Speaker 3: It's the only one.

594
00:31:18,760 --> 00:31:21,480
Speaker 1: Yeah, So if you get in a bad wreck two

595
00:31:21,520 --> 00:31:25,040
Speaker 1: hours from here, they're life lighting you to Memphis. If

596
00:31:25,080 --> 00:31:27,360
Speaker 1: you get in a you know, if you're on a

597
00:31:27,360 --> 00:31:30,600
Speaker 1: farm in Westerndessee an hour and a half two hours

598
00:31:30,600 --> 00:31:33,440
Speaker 1: north of here, their life lighting you to Memphis. So

599
00:31:33,520 --> 00:31:38,080
Speaker 1: you can imagine how important our Level one Trauma Regional

600
00:31:38,400 --> 00:31:41,080
Speaker 1: one medical center is to the entire Mid South, not

601
00:31:41,160 --> 00:31:48,360
Speaker 1: just Memphis right now. Imagine how taxed that is. That

602
00:31:48,560 --> 00:31:53,840
Speaker 1: is the major er in downtown Memphis as well, and

603
00:31:54,000 --> 00:31:56,800
Speaker 1: how much of their staff is tied up with the

604
00:31:56,920 --> 00:32:02,600
Speaker 1: very things you were talking about that can lay trauma

605
00:32:02,680 --> 00:32:05,360
Speaker 1: work that needs to be done for people who are dying,

606
00:32:05,640 --> 00:32:08,120
Speaker 1: because there are is over ruam with people sitting there

607
00:32:08,120 --> 00:32:10,440
Speaker 1: with colds at e level one trauma center.

608
00:32:10,600 --> 00:32:10,760
Speaker 4: Right.

609
00:32:11,040 --> 00:32:14,440
Speaker 1: That is the reality of what's happening today in Memphis

610
00:32:14,560 --> 00:32:14,880
Speaker 1: right now.

611
00:32:14,880 --> 00:32:16,520
Speaker 3: If I took you in the front of that place,

612
00:32:16,560 --> 00:32:22,240
Speaker 3: you would be like, wow, Yeah, I cannot imagine that

613
00:32:22,440 --> 00:32:26,520
Speaker 3: hospital not going crazy over this opportunity.

614
00:32:26,760 --> 00:32:27,360
Speaker 4: Let's do it.

615
00:32:27,440 --> 00:32:29,840
Speaker 3: Well, it has to be in every city. It has

616
00:32:29,960 --> 00:32:32,880
Speaker 3: to be. It has to be in Pittsburgh, it has

617
00:32:32,960 --> 00:32:35,000
Speaker 3: to be in Baltimore, it has to be in Charlotte,

618
00:32:35,040 --> 00:32:38,520
Speaker 3: it has it has to be in Chicago, thank you.

619
00:32:39,120 --> 00:32:42,680
Speaker 1: And so the need is there and it's a proven concept.

620
00:32:43,320 --> 00:32:45,880
Speaker 1: It just feels like we've got to get more people

621
00:32:45,920 --> 00:32:48,160
Speaker 1: to know about it because I've never even heard of

622
00:32:48,200 --> 00:32:48,880
Speaker 1: this thing before.

623
00:32:48,920 --> 00:32:51,960
Speaker 2: Then, Yeah, that's what that you're helping with here. And

624
00:32:52,320 --> 00:32:56,400
Speaker 2: and to your point, Alex, that's that's right. Like anyone

625
00:32:56,520 --> 00:32:59,480
Speaker 2: who if you're trying to bring some intervention like this

626
00:32:59,520 --> 00:33:02,680
Speaker 2: to your city, anyone that that can refer us to

627
00:33:03,160 --> 00:33:07,320
Speaker 2: a hospital medical director and eer medical director.

628
00:33:06,480 --> 00:33:07,680
Speaker 4: Someone had a Medicaid plan.

629
00:33:08,280 --> 00:33:12,520
Speaker 2: Uh, that's how we get started in a region or

630
00:33:12,560 --> 00:33:14,480
Speaker 2: even a big social services agency.

631
00:33:14,880 --> 00:33:17,520
Speaker 1: I'm personal friends with the head of the Methodist Hospital

632
00:33:17,600 --> 00:33:20,080
Speaker 1: Group here in the Shelby County and I'm gonna call.

633
00:33:19,960 --> 00:33:25,440
Speaker 3: Them about you. So here's the thing kind of interesting.

634
00:33:25,840 --> 00:33:29,280
Speaker 1: You decided to call your tech company Samaritan, And I

635
00:33:29,320 --> 00:33:31,680
Speaker 1: don't really think there's a whole lot of other tech

636
00:33:31,720 --> 00:33:33,480
Speaker 1: companies named after Bible story.

637
00:33:34,440 --> 00:33:34,840
Speaker 4: That's right.

638
00:33:36,080 --> 00:33:38,320
Speaker 3: Where did the idea of Samaritan come from?

639
00:33:39,360 --> 00:33:42,520
Speaker 4: Yeah, I mean it came from from the story. It's

640
00:33:42,640 --> 00:33:44,120
Speaker 4: it's but you know.

641
00:33:44,080 --> 00:33:49,080
Speaker 3: We call you that. That was you know, techie bibly

642
00:33:49,520 --> 00:33:52,360
Speaker 3: cross paths, And I'm just curious, was that a thing

643
00:33:52,400 --> 00:33:52,720
Speaker 3: at all?

644
00:33:53,040 --> 00:33:55,440
Speaker 2: Yeah, you know, it's it's I've heard this term recently

645
00:33:55,560 --> 00:33:59,400
Speaker 2: where it's it's familiar and it's strange. It's familiar, it's

646
00:33:59,440 --> 00:34:03,640
Speaker 2: not a it's not offending, but it's strange. It's different.

647
00:34:03,960 --> 00:34:07,120
Speaker 2: It's like, okay, what's behind that. The original name that

648
00:34:07,200 --> 00:34:12,359
Speaker 2: I came up with first was give Safe. I get

649
00:34:12,360 --> 00:34:14,520
Speaker 2: that it was the whole thing was like, okay, give

650
00:34:14,560 --> 00:34:18,000
Speaker 2: ten dollars in a safe, easy and effective way. But

651
00:34:18,040 --> 00:34:21,359
Speaker 2: then it just seemed like it was about giving financially,

652
00:34:21,480 --> 00:34:23,440
Speaker 2: and I was like kind of implying that if you

653
00:34:23,440 --> 00:34:25,640
Speaker 2: don't give through our app, it's not safe, which is

654
00:34:25,640 --> 00:34:29,160
Speaker 2: not true. Samaritan. If you read the story of the

655
00:34:29,160 --> 00:34:33,160
Speaker 2: Good Samaritan. It's so much more than giving money. If

656
00:34:33,200 --> 00:34:37,280
Speaker 2: you read that story, it's it's like crossing cultural boundaries,

657
00:34:37,400 --> 00:34:42,480
Speaker 2: racial boundaries, and it's giving time, it's giving treasure.

658
00:34:43,880 --> 00:34:46,880
Speaker 5: You telling the actual story.

659
00:34:47,160 --> 00:34:49,240
Speaker 3: And that's what I was going to say, tell the story.

660
00:34:49,280 --> 00:34:52,680
Speaker 1: But for everybody who knows the story or thinks they

661
00:34:52,760 --> 00:34:56,680
Speaker 1: know the story, the whole point is is that the

662
00:34:56,760 --> 00:35:02,440
Speaker 1: beauty of a man from some area helping another was

663
00:35:02,560 --> 00:35:08,520
Speaker 1: that they were those two cultures and races or sworn enemies.

664
00:35:08,719 --> 00:35:09,600
Speaker 4: That's exactly right.

665
00:35:09,880 --> 00:35:12,440
Speaker 2: Yeah, and we don't we see a lot of that today.

666
00:35:13,160 --> 00:35:16,400
Speaker 2: And so you know, Jesus is talking about you know,

667
00:35:17,120 --> 00:35:21,319
Speaker 2: who is my neighbor? Who am I responsible for caring for?

668
00:35:21,840 --> 00:35:25,200
Speaker 2: Who is being neighborly to one another?

669
00:35:25,680 --> 00:35:26,160
Speaker 4: And it's not.

670
00:35:26,360 --> 00:35:31,040
Speaker 2: You know, first the person, the Jewish person gets beat up, robbed,

671
00:35:31,160 --> 00:35:33,920
Speaker 2: left for dead. The first person that walks by is

672
00:35:34,320 --> 00:35:34,960
Speaker 2: a priest.

673
00:35:35,480 --> 00:35:35,719
Speaker 3: I think.

674
00:35:35,760 --> 00:35:38,759
Speaker 2: The second person is like an elected official or you know,

675
00:35:38,840 --> 00:35:42,480
Speaker 2: some sort of pastor even they walk on by. And

676
00:35:42,520 --> 00:35:44,880
Speaker 2: then you have the third person, which is, yeah, like

677
00:35:45,400 --> 00:35:49,239
Speaker 2: a person from a hated group, a despised individual who

678
00:35:49,280 --> 00:35:50,640
Speaker 2: comes by and.

679
00:35:51,040 --> 00:35:54,640
Speaker 3: He almost like a Palestinian walking by a breaking Chew.

680
00:35:54,480 --> 00:35:56,120
Speaker 4: And it's really very similar.

681
00:35:56,360 --> 00:35:59,440
Speaker 2: Yeah, that's a yeah, there's a lot of examples we

682
00:35:59,440 --> 00:36:02,160
Speaker 2: could pull from, and and and so, like the hated

683
00:36:02,200 --> 00:36:05,680
Speaker 2: person walks by, sees the person in need, knows he

684
00:36:06,400 --> 00:36:11,480
Speaker 2: is Jewish, gets off his donkey, gives food, gives transportation,

685
00:36:11,640 --> 00:36:15,680
Speaker 2: gives time, walks him to the nearest hospital or essentially

686
00:36:15,719 --> 00:36:19,080
Speaker 2: a hotel, and then at the very end gives a

687
00:36:19,120 --> 00:36:22,640
Speaker 2: little bit financially for the person's stay. And it's just

688
00:36:23,239 --> 00:36:29,800
Speaker 2: sort of that holistic generosity that transcends these fabricated barriers

689
00:36:29,800 --> 00:36:33,520
Speaker 2: we have about ourselves. Everything about that was like, okay,

690
00:36:33,719 --> 00:36:37,120
Speaker 2: Samaritan should be the name, and I think, you know,

691
00:36:37,200 --> 00:36:40,200
Speaker 2: still represents the ethos of what we want to do

692
00:36:40,800 --> 00:36:47,640
Speaker 2: and in terms of taking everyday like reconciliation between people groups,

693
00:36:47,680 --> 00:36:50,520
Speaker 2: between the rich and the poor, between the white and

694
00:36:50,560 --> 00:36:54,719
Speaker 2: the black, and the haves and the have nots, it's

695
00:36:54,719 --> 00:36:59,400
Speaker 2: still there. But we're well, we're not a faith based organization.

696
00:36:59,440 --> 00:37:01,720
Speaker 2: We have people who come from all sorts of different faiths,

697
00:37:01,800 --> 00:37:04,200
Speaker 2: people who are here for different reasons. I think have

698
00:37:04,280 --> 00:37:06,600
Speaker 2: probably made it clear at this point why I'm involved.

699
00:37:06,640 --> 00:37:08,480
Speaker 3: But yeah, it's awesome.

700
00:37:09,800 --> 00:37:12,520
Speaker 1: You've I guess committed your life at this point to

701
00:37:12,640 --> 00:37:18,560
Speaker 1: solving one of our society's greatest challenges, and you're doing

702
00:37:18,640 --> 00:37:24,520
Speaker 1: it through a for profit company that also has significant

703
00:37:24,520 --> 00:37:30,680
Speaker 1: social benefit. What do you have to say to the

704
00:37:32,200 --> 00:37:39,040
Speaker 1: to the notion that even in for profit corporate atmospheres

705
00:37:39,120 --> 00:37:42,040
Speaker 1: we can still have a social construct that matters.

706
00:37:43,960 --> 00:37:46,239
Speaker 2: I don't know if I'm necessarily an expert or know

707
00:37:46,360 --> 00:37:52,200
Speaker 2: much about like generating social benefit and for profit organizations.

708
00:37:52,360 --> 00:37:55,440
Speaker 2: I've been a part of this network called Praxis, which

709
00:37:55,480 --> 00:38:01,520
Speaker 2: is Advancing Redemptive Entrepreneurship. That's advanced advancing redemptive businesses that

710
00:38:01,600 --> 00:38:04,200
Speaker 2: are doing things more than just ethically.

711
00:38:04,280 --> 00:38:05,759
Speaker 4: They're doing things redemptively.

712
00:38:05,960 --> 00:38:08,960
Speaker 2: And it's just like this another atmosphere, this other edge,

713
00:38:09,520 --> 00:38:15,160
Speaker 2: and they help business leaders develop redemptive edges for what

714
00:38:15,160 --> 00:38:16,880
Speaker 2: they do. And that could be a car wash business,

715
00:38:16,920 --> 00:38:18,840
Speaker 2: it could be a nail salon, it could be a

716
00:38:18,840 --> 00:38:19,760
Speaker 2: hard word business.

717
00:38:19,880 --> 00:38:22,279
Speaker 5: Have you met Settled through there? Sorry, they're also in

718
00:38:22,360 --> 00:38:25,719
Speaker 5: the podcast Settled Yours and Homeless. They build tiny home

719
00:38:25,800 --> 00:38:29,120
Speaker 5: villages on church property. But doctor Gabrielle cloud As is

720
00:38:29,120 --> 00:38:30,200
Speaker 5: a member of practice too.

721
00:38:30,719 --> 00:38:34,560
Speaker 2: Yeah yeah, so yeah, I have not, But any business

722
00:38:34,600 --> 00:38:37,920
Speaker 2: can develop a redemptive edge I'm not necessarily an expert

723
00:38:37,920 --> 00:38:38,160
Speaker 2: at it.

724
00:38:38,680 --> 00:38:41,440
Speaker 3: Obviously, our work is you've done it.

725
00:38:42,120 --> 00:38:46,320
Speaker 1: If you've done it, you have expertise in it for them.

726
00:38:45,600 --> 00:38:47,880
Speaker 4: Thank you. Yeah. Yeah.

727
00:38:48,000 --> 00:38:51,120
Speaker 2: The for profit nonprofit thing is interesting, Like I have

728
00:38:51,239 --> 00:38:54,719
Speaker 2: no issue with the nonprofit model, except it's hard to

729
00:38:54,760 --> 00:38:58,960
Speaker 2: access capital, especially if you're not doing direct services. So

730
00:38:59,000 --> 00:39:01,120
Speaker 2: we were not a gospel rescue mission, we were not

731
00:39:01,160 --> 00:39:05,080
Speaker 2: doing case managing, we weren't building housing, we weren't providing services.

732
00:39:05,120 --> 00:39:06,279
Speaker 4: We were building technology.

733
00:39:06,800 --> 00:39:10,680
Speaker 2: And it's pretty hard to raise nonprofit dollars to pay

734
00:39:10,719 --> 00:39:11,759
Speaker 2: iPhone developers.

735
00:39:12,440 --> 00:39:31,839
Speaker 1: That makes sense, We'll be right back, I just am.

736
00:39:32,120 --> 00:39:37,920
Speaker 1: I think it's inspirational to see a young big brain

737
00:39:39,719 --> 00:39:42,560
Speaker 1: who could probably be working on the next app, trying

738
00:39:42,600 --> 00:39:45,439
Speaker 1: to chase the next one hundred and fifty billion dollar

739
00:39:45,560 --> 00:39:51,280
Speaker 1: idea using those talents to obviously got to make a living.

740
00:39:51,360 --> 00:39:55,480
Speaker 1: The profits are necessary measure of any organization's success, but

741
00:39:56,760 --> 00:39:58,319
Speaker 1: to chase the thing that.

742
00:39:58,239 --> 00:40:02,040
Speaker 3: You're passionate about as Yeah, I mean, I think we

743
00:40:02,080 --> 00:40:03,080
Speaker 3: have a lot to learn from that.

744
00:40:03,560 --> 00:40:06,359
Speaker 2: I think my life's work is to give people a shot,

745
00:40:06,520 --> 00:40:10,600
Speaker 2: you know, a shot to escape premature death and to

746
00:40:10,680 --> 00:40:13,879
Speaker 2: use their god given gifts and then you know, once

747
00:40:13,880 --> 00:40:16,600
Speaker 2: we've given enough people a shot to not die early

748
00:40:16,680 --> 00:40:20,200
Speaker 2: and to use their talents to help people who have

749
00:40:20,280 --> 00:40:22,680
Speaker 2: a shot, you know, build better relationships.

750
00:40:22,800 --> 00:40:25,040
Speaker 5: I knew MLK has said a lot about the Good

751
00:40:25,040 --> 00:40:28,239
Speaker 5: Samaritan story, and he's got this line of on the

752
00:40:28,280 --> 00:40:30,480
Speaker 5: one hand, we are called to play the Good Samaritan

753
00:40:30,520 --> 00:40:34,759
Speaker 5: on life's roadside, but that will only be an initial act.

754
00:40:35,040 --> 00:40:36,399
Speaker 4: One day we must come to see.

755
00:40:36,480 --> 00:40:40,040
Speaker 5: The whole Jericho Road must be transformed so that men

756
00:40:40,080 --> 00:40:42,920
Speaker 5: and women will not be constantly beaten and robbed as

757
00:40:42,960 --> 00:40:46,360
Speaker 5: they make their journey on life's highway. True compassion is

758
00:40:46,400 --> 00:40:49,240
Speaker 5: more than flinging a coin to a beggar. It comes

759
00:40:49,280 --> 00:40:54,359
Speaker 5: to see than an edifice which produces beggars needs restructuring.

760
00:40:54,680 --> 00:40:55,520
Speaker 4: I've never heard of that.

761
00:40:55,840 --> 00:41:00,480
Speaker 3: Yeah, this MK guy was pretty brillight. It was pretty bright. Okay, God,

762
00:41:00,480 --> 00:41:02,000
Speaker 3: but he sent a lot of pretty cool stuff.

763
00:41:02,840 --> 00:41:04,879
Speaker 4: That's one speech I had not heard.

764
00:41:05,000 --> 00:41:07,479
Speaker 3: I've never heard of good. Yeah, please, it's great. Yeah,

765
00:41:07,480 --> 00:41:10,160
Speaker 3: pretty cool, powerful, Jonathan.

766
00:41:11,040 --> 00:41:14,600
Speaker 1: So far, you've helped five thousand people, and fifteen thousand

767
00:41:14,600 --> 00:41:21,240
Speaker 1: Good Samaritans have rallied behind them. Five thousand people born

768
00:41:22,400 --> 00:41:25,719
Speaker 1: from you having a sandwich and noticing this guy with

769
00:41:25,840 --> 00:41:28,759
Speaker 1: diabetes across the street and having the temerity to go

770
00:41:28,840 --> 00:41:31,759
Speaker 1: up and have a twenty minute conversation with him and

771
00:41:31,840 --> 00:41:35,040
Speaker 1: developed this whole idea, where are you going to be

772
00:41:35,080 --> 00:41:35,919
Speaker 1: ten years from now?

773
00:41:36,239 --> 00:41:37,239
Speaker 3: What's that number going to be?

774
00:41:37,840 --> 00:41:40,680
Speaker 2: You've got twenty thirty two or at twenty twenty six,

775
00:41:40,719 --> 00:41:44,000
Speaker 2: so we've got about six years to get to two

776
00:41:44,120 --> 00:41:47,080
Speaker 2: hundred and forty five thousand lives. I've failed, you know,

777
00:41:47,280 --> 00:41:49,400
Speaker 2: Coach Bill in a lot of ways. I've spent you know,

778
00:41:49,480 --> 00:41:52,720
Speaker 2: ten years on this and we've only reached five thousand people.

779
00:41:53,360 --> 00:41:57,879
Speaker 2: It's it's not what I started Samaritan to do. And

780
00:41:57,960 --> 00:42:01,360
Speaker 2: so I know God doesn't measure me by how many

781
00:42:01,480 --> 00:42:05,440
Speaker 2: members I reach, So you know, I don't take it

782
00:42:05,520 --> 00:42:08,839
Speaker 2: to too personally or spiritually. But that's not you know,

783
00:42:08,920 --> 00:42:11,600
Speaker 2: what we've been able to accomplish is something I'm proud of,

784
00:42:11,760 --> 00:42:15,279
Speaker 2: thankful for, but is not why I got involved in

785
00:42:15,280 --> 00:42:17,640
Speaker 2: this work in twenty fifteen, twenty sixteen. We have a

786
00:42:17,680 --> 00:42:20,759
Speaker 2: lot of freaking people to reach, and you know we

787
00:42:20,840 --> 00:42:25,520
Speaker 2: need help. And yeah, so I mean in ten years,

788
00:42:25,640 --> 00:42:28,319
Speaker 2: it's it's every person on or near the street if

789
00:42:28,360 --> 00:42:34,840
Speaker 2: they want to receive access to additional financial capital, social capital.

790
00:42:35,800 --> 00:42:37,000
Speaker 4: They should have access to it.

791
00:42:37,680 --> 00:42:40,920
Speaker 1: So, for all of the people listening to you right now,

792
00:42:41,239 --> 00:42:44,640
Speaker 1: how does the army and normal folks assist you to

793
00:42:44,680 --> 00:42:46,080
Speaker 1: get to the two hundred and fifty thousand?

794
00:42:46,280 --> 00:42:47,600
Speaker 3: What do you want? What do you need?

795
00:42:48,000 --> 00:42:50,000
Speaker 4: Yeah? Number one?

796
00:42:50,000 --> 00:42:53,320
Speaker 1: Why can we help you to help them?

797
00:42:53,560 --> 00:42:54,040
Speaker 4: Number one?

798
00:42:54,120 --> 00:42:56,960
Speaker 2: Like the outcomes of our members drives our growth. So

799
00:42:57,040 --> 00:42:59,600
Speaker 2: the better off our members are in terms of reaching

800
00:42:59,640 --> 00:43:02,560
Speaker 2: their goals in life around a stable home, stable income,

801
00:43:02,600 --> 00:43:07,520
Speaker 2: stable health, the more growth opportunities will have. So for

802
00:43:07,719 --> 00:43:10,640
Speaker 2: the army, download the Samaritan app, get your wife to

803
00:43:10,680 --> 00:43:13,359
Speaker 2: put it on your phone, and you know, open it.

804
00:43:13,480 --> 00:43:17,000
Speaker 2: Pick a market, any market, Find a person and start

805
00:43:17,040 --> 00:43:19,640
Speaker 2: sending them text starts sending them dollars that they can

806
00:43:19,760 --> 00:43:21,359
Speaker 2: use to reach their life goal.

807
00:43:21,400 --> 00:43:24,120
Speaker 3: And we'll talking about five dollars one dollar.

808
00:43:25,160 --> 00:43:28,680
Speaker 1: Nobody's asking anybody to pony up one hundred or a

809
00:43:28,719 --> 00:43:30,279
Speaker 1: thousand dollars a month or any of that.

810
00:43:30,280 --> 00:43:32,799
Speaker 3: You're talking about five dollars two or three times a month.

811
00:43:32,920 --> 00:43:34,239
Speaker 4: Yeah, I can if you want to.

812
00:43:34,880 --> 00:43:37,160
Speaker 3: People always ask us, I want to make a difference.

813
00:43:37,200 --> 00:43:40,839
Speaker 3: I don't know how. I don't have time. Listen, anybody

814
00:43:41,520 --> 00:43:45,000
Speaker 3: with a home and a job can pull up that

815
00:43:45,080 --> 00:43:48,360
Speaker 3: app and give five dollars away once a week, right,

816
00:43:49,120 --> 00:43:52,719
Speaker 3: and they're making a significant difference in somebody's lives. And

817
00:43:52,760 --> 00:43:55,279
Speaker 3: if you're worried about them using that money to go

818
00:43:55,360 --> 00:43:57,480
Speaker 3: buy crack or something, they're not going to do it

819
00:43:57,520 --> 00:43:59,360
Speaker 3: this way because they're getting the money back from the

820
00:43:59,440 --> 00:44:00,359
Speaker 3: very things they need.

821
00:44:00,880 --> 00:44:03,520
Speaker 2: Every dollar is spent in the context of a relationship

822
00:44:03,560 --> 00:44:07,080
Speaker 2: with a professional case manager that can see into their

823
00:44:07,120 --> 00:44:09,040
Speaker 2: life and help them use that money effectively.

824
00:44:09,880 --> 00:44:13,040
Speaker 3: And if you don't care about it from an idealism standpoint,

825
00:44:13,120 --> 00:44:17,920
Speaker 3: relate from a I mean pragmatically, all you're doing is

826
00:44:18,280 --> 00:44:21,480
Speaker 3: you are helping people, but you're also helping your culture.

827
00:44:21,640 --> 00:44:26,160
Speaker 3: You're helping people are own housed, get on the steps

828
00:44:26,239 --> 00:44:30,120
Speaker 3: to finding housing and making communities better.

829
00:44:30,280 --> 00:44:33,880
Speaker 2: And those dollars I didn't mention this like, they're given

830
00:44:34,200 --> 00:44:36,680
Speaker 2: to a separate five h one C three public charity

831
00:44:37,280 --> 00:44:39,960
Speaker 2: that has its own board, its own financials, and has

832
00:44:39,960 --> 00:44:42,560
Speaker 2: its overhead completely taken care of. It's called the Multiply

833
00:44:42,640 --> 00:44:45,920
Speaker 2: Capital Foundation. And so when you give ten dollars to

834
00:44:46,040 --> 00:44:49,920
Speaker 2: Stewart on the platform, ten dollars goes to Stuart one

835
00:44:50,000 --> 00:44:54,320
Speaker 2: hundred percent of your investment goes to the person because

836
00:44:54,360 --> 00:44:55,840
Speaker 2: all of the other costs have been taken care of.

837
00:44:56,400 --> 00:44:58,480
Speaker 3: Is it also a text dedictable? Yeah? Yeah.

838
00:44:58,760 --> 00:45:01,040
Speaker 1: So let's say, got down load that and I give

839
00:45:01,080 --> 00:45:03,839
Speaker 1: away ten dollars thirty times over the course of a year.

840
00:45:03,880 --> 00:45:05,440
Speaker 1: Am I going to get something back from them that

841
00:45:05,480 --> 00:45:07,040
Speaker 1: says I donated three hundred dollars?

842
00:45:07,680 --> 00:45:11,160
Speaker 2: Yeah, get a interesting saying that you've given three hundred

843
00:45:11,200 --> 00:45:14,280
Speaker 2: dollars to a public charity multiply capital fundation.

844
00:45:14,360 --> 00:45:15,360
Speaker 4: Wait, we figured that out too.

845
00:45:15,239 --> 00:45:16,799
Speaker 3: So it's even a tax deductible thing.

846
00:45:17,040 --> 00:45:20,799
Speaker 2: Right, So we have separate arms, one that processes volunteering

847
00:45:20,840 --> 00:45:22,960
Speaker 2: and donations, and then one that process like that kind

848
00:45:22,960 --> 00:45:24,920
Speaker 2: of manages the technology and the partnerships.

849
00:45:25,600 --> 00:45:28,680
Speaker 5: And there's some non monetary stuff too that you're probably

850
00:45:28,680 --> 00:45:31,000
Speaker 5: dive in a little bit more. Oh yeah, and doing

851
00:45:31,000 --> 00:45:34,440
Speaker 5: the problem like helping people with their resumes. Even I

852
00:45:34,480 --> 00:45:36,880
Speaker 5: saw you were doing like virtual letter writing stuff. If

853
00:45:36,920 --> 00:45:39,000
Speaker 5: you want to dive into that more too, like half.

854
00:45:38,920 --> 00:45:39,560
Speaker 4: Hours of hope.

855
00:45:39,600 --> 00:45:41,640
Speaker 2: You know, we just jump on zoom with like a

856
00:45:41,719 --> 00:45:44,400
Speaker 2: company or a church or a neighborhood group, student group,

857
00:45:44,640 --> 00:45:48,040
Speaker 2: and we just do virtual letter writing for thirty minutes together.

858
00:45:48,440 --> 00:45:51,640
Speaker 2: Those letters are sent to the members by again text, email,

859
00:45:51,719 --> 00:45:54,520
Speaker 2: or if they don't have a phone, through their case manager.

860
00:45:55,080 --> 00:45:59,800
Speaker 2: And we often see people do remarkable things because of

861
00:45:59,840 --> 00:46:03,600
Speaker 2: these words of encouragement, like admitting themselves to rehab, saying

862
00:46:03,640 --> 00:46:06,600
Speaker 2: yes to a job opportunity, a housing opportunity. They don't

863
00:46:06,640 --> 00:46:09,560
Speaker 2: even spend the money sometimes just because of the words

864
00:46:09,600 --> 00:46:13,520
Speaker 2: of encouragement from every day normally people, they feel like

865
00:46:13,680 --> 00:46:16,479
Speaker 2: if they're worth investing in by other people, they start

866
00:46:16,480 --> 00:46:19,239
Speaker 2: to invest in themselves. So I can't understate, you know,

867
00:46:19,280 --> 00:46:23,279
Speaker 2: how impactful individual contributions are for our members. So that's

868
00:46:23,320 --> 00:46:26,200
Speaker 2: how the army can get involved. Again, the outcomes of

869
00:46:26,239 --> 00:46:29,880
Speaker 2: our members drives how fast and how large we grow.

870
00:46:30,280 --> 00:46:32,719
Speaker 2: The second piece, Yeah, like you were saying earlier, if

871
00:46:32,719 --> 00:46:37,160
Speaker 2: we're trying to reach more people directly, can make introductions

872
00:46:37,160 --> 00:46:42,120
Speaker 2: to hospitals, social service agencies, city, county, so and so forth.

873
00:46:42,760 --> 00:46:45,400
Speaker 3: How do people find you? They? What do they google?

874
00:46:46,560 --> 00:46:47,400
Speaker 4: Jonathan Kumar?

875
00:46:48,320 --> 00:46:52,200
Speaker 2: My email is jay At, the letter j at, Samaritan

876
00:46:52,480 --> 00:46:56,320
Speaker 2: s A m ar I t A N dot city.

877
00:46:56,440 --> 00:46:58,160
Speaker 2: We didn't get the dot com, so it's dot c

878
00:46:58,360 --> 00:47:02,480
Speaker 2: I T y on LinkedIn Facebook, and.

879
00:47:02,520 --> 00:47:05,440
Speaker 3: I asked Samaritan, dot city Yeah, that's the website.

880
00:47:05,520 --> 00:47:07,680
Speaker 4: Yeah, Samaritan dot City is the website.

881
00:47:07,960 --> 00:47:08,359
Speaker 3: Got it?

882
00:47:08,400 --> 00:47:10,160
Speaker 4: So find us.

883
00:47:10,719 --> 00:47:14,120
Speaker 1: What an amazing story and ten years of your life.

884
00:47:14,239 --> 00:47:17,120
Speaker 1: And for you to say, Coach Bill, I failed. I'm

885
00:47:17,120 --> 00:47:20,719
Speaker 1: not where I want to be. Amen. You could be

886
00:47:20,800 --> 00:47:23,319
Speaker 1: down twenty one to seven at halftime and still win

887
00:47:23,360 --> 00:47:27,719
Speaker 1: the ballgame. So failures, it's not where you start, it's

888
00:47:27,719 --> 00:47:28,239
Speaker 1: where you end.

889
00:47:28,280 --> 00:47:29,560
Speaker 3: And I feel like you're getting there.

890
00:47:30,480 --> 00:47:30,799
Speaker 4: Thank you.

891
00:47:31,200 --> 00:47:34,400
Speaker 1: I think it's interesting. So you you shot a documentary in.

892
00:47:35,960 --> 00:47:36,400
Speaker 3: College?

893
00:47:36,600 --> 00:47:36,759
Speaker 2: Yeah?

894
00:47:36,800 --> 00:47:38,160
Speaker 4: Are you ready for your questions now?

895
00:47:38,360 --> 00:47:42,000
Speaker 3: Yeah? So that's why I asked you're an inquisitive guy.

896
00:47:42,200 --> 00:47:45,640
Speaker 3: Before we did the interview, Jonathan said he had all

897
00:47:45,719 --> 00:47:48,480
Speaker 3: kinds of questions for me, and so Alex teed it up.

898
00:47:48,640 --> 00:47:54,719
Speaker 1: We've got fifteen minutes. Great, So everybody, this has a

899
00:47:54,800 --> 00:47:57,799
Speaker 1: sub section to this thing is we're reversing roles. And

900
00:47:57,840 --> 00:48:01,839
Speaker 1: because Jonathan has been a filmmaker war and clearly likes

901
00:48:01,880 --> 00:48:04,160
Speaker 1: to run around and ask people a bunch of questions

902
00:48:04,480 --> 00:48:08,440
Speaker 1: to create hypothesis, We're going to open.

903
00:48:08,239 --> 00:48:10,360
Speaker 3: The mic to you and I'm going to answer your question.

904
00:48:10,560 --> 00:48:14,040
Speaker 3: So bonus, what is this bonus coverage today? What do

905
00:48:14,040 --> 00:48:18,880
Speaker 3: you call this ouse? Yeah, bonus coverage with Jonathan Kumar's Corner.

906
00:48:19,080 --> 00:48:20,800
Speaker 3: Okay Corner.

907
00:48:21,600 --> 00:48:23,880
Speaker 4: I've never hosted a podcast before. It's an honor.

908
00:48:24,400 --> 00:48:29,080
Speaker 2: I'm glad to be here with Coach Bill. Thank you

909
00:48:29,120 --> 00:48:32,160
Speaker 2: for making the trip in today. Yeah, the studio.

910
00:48:32,320 --> 00:48:34,360
Speaker 4: I love doing this in person versus zoom.

911
00:48:34,400 --> 00:48:34,720
Speaker 3: Thanks.

912
00:48:35,520 --> 00:48:38,160
Speaker 2: So, you know, my wife and I got to watch

913
00:48:38,239 --> 00:48:40,920
Speaker 2: this documentary film from fifteen years ago.

914
00:48:41,000 --> 00:48:42,640
Speaker 4: I have no idea how I've heard of.

915
00:48:42,640 --> 00:48:47,040
Speaker 2: It, because it's like remember the Titans, but not scripted.

916
00:48:47,120 --> 00:48:50,560
Speaker 2: It's real, it actually happened, and even up to the

917
00:48:50,560 --> 00:48:53,440
Speaker 2: part where at the end you're like, Okay, I want

918
00:48:53,440 --> 00:48:55,400
Speaker 2: to see what happens to the guys that were involved.

919
00:48:55,440 --> 00:48:57,920
Speaker 2: I want to see the real pictures, see what what

920
00:48:58,000 --> 00:49:00,920
Speaker 2: they ended up becoming. And it it's like in the credits,

921
00:49:00,920 --> 00:49:02,839
Speaker 2: it's like the same people, they look the same, Like

922
00:49:02,920 --> 00:49:05,360
Speaker 2: that wasn't an actor, that was the actual guy, that

923
00:49:05,480 --> 00:49:09,640
Speaker 2: was Oc, that was Cheeves, that was money, and it's

924
00:49:09,680 --> 00:49:11,680
Speaker 2: just it was just an amazing thing. And and but

925
00:49:11,719 --> 00:49:14,759
Speaker 2: the thing is like the documentary doesn't get to show

926
00:49:14,840 --> 00:49:18,560
Speaker 2: you just of how all of this came together. Coach Bill,

927
00:49:18,719 --> 00:49:21,319
Speaker 2: So like I've got a couple of questions, how did

928
00:49:21,320 --> 00:49:25,120
Speaker 2: the crew find you and approach you about the film

929
00:49:25,560 --> 00:49:28,840
Speaker 2: before that season of all seasons where you got to

930
00:49:28,880 --> 00:49:32,200
Speaker 2: the playoffs for the first time in a long time

931
00:49:32,480 --> 00:49:34,680
Speaker 2: went down? How did how did you know them? How

932
00:49:34,680 --> 00:49:35,399
Speaker 2: did they find you?

933
00:49:36,000 --> 00:49:37,080
Speaker 3: Really crazy story.

934
00:49:37,239 --> 00:49:42,360
Speaker 1: So, you know, I'm out of my own business running

935
00:49:42,400 --> 00:49:44,760
Speaker 1: a lumber company and coaching football.

936
00:49:45,800 --> 00:49:48,320
Speaker 4: And Unas are different school at this point.

937
00:49:48,520 --> 00:49:52,239
Speaker 1: Same place, Manassas that that was my six year Manassas

938
00:49:52,440 --> 00:49:59,080
Speaker 1: the film year. And so we were there and Lane

939
00:49:59,120 --> 00:50:02,360
Speaker 1: Kiffin had just been hired at the University of Tennessee.

940
00:50:03,719 --> 00:50:06,600
Speaker 1: And there's this guy named rich Middlemiss who ends up

941
00:50:06,640 --> 00:50:09,239
Speaker 1: being the producer of Undefeated, who's in La. He's a

942
00:50:09,239 --> 00:50:12,680
Speaker 1: filmmaker and a producer, but he graduated from the University

943
00:50:12,680 --> 00:50:17,200
Speaker 1: of Tennessee and he has this unhealthy, unhealthy obsession with

944
00:50:17,280 --> 00:50:21,640
Speaker 1: all things Tennessee football. And he's you know, they just

945
00:50:21,719 --> 00:50:24,000
Speaker 1: hired Lane and back then all the Tennessee people are

946
00:50:24,000 --> 00:50:27,120
Speaker 1: all excited about lank Kiffin and the Lane Kiffin's first interview,

947
00:50:27,719 --> 00:50:29,680
Speaker 1: one of the questions he was asked is what's your

948
00:50:29,680 --> 00:50:32,759
Speaker 1: first order of business? And he said, one of the

949
00:50:32,800 --> 00:50:34,800
Speaker 1: first things I'm gonna do is get down to Memphis

950
00:50:34,800 --> 00:50:36,160
Speaker 1: and check out this kid named O. C.

951
00:50:36,280 --> 00:50:36,600
Speaker 3: Brown.

952
00:50:38,040 --> 00:50:43,440
Speaker 1: Well, being a producer and a filmmaker and a storyteller, obviously,

953
00:50:43,760 --> 00:50:45,920
Speaker 1: Rich sitting in his computer, goes oh C.

954
00:50:46,080 --> 00:50:47,640
Speaker 3: Brown. So he googles O. C.

955
00:50:47,800 --> 00:50:52,680
Speaker 1: Brown Memphis and there's a newspaper article that the Commercial Appeal,

956
00:50:52,719 --> 00:50:54,840
Speaker 1: which is a daily newspaper in Memphis.

957
00:50:54,880 --> 00:50:56,680
Speaker 4: Did He's an eighth grader at the time.

958
00:50:56,840 --> 00:50:58,280
Speaker 3: No, he was a junior.

959
00:50:58,680 --> 00:51:03,320
Speaker 1: Okay, junior did a story about OC playing football for

960
00:51:03,440 --> 00:51:06,239
Speaker 1: me and living with Coach Ray and all of that.

961
00:51:06,640 --> 00:51:10,080
Speaker 1: And he thought, now that's an interesting story. So he

962
00:51:10,200 --> 00:51:13,279
Speaker 1: called us and he said, tell me more about this

963
00:51:13,480 --> 00:51:16,759
Speaker 1: OC thing. And we said, well, this is the deal,

964
00:51:16,920 --> 00:51:19,839
Speaker 1: and he said, you know, I want to come check

965
00:51:19,880 --> 00:51:23,719
Speaker 1: it out. So he flew to Memphis and follow us

966
00:51:23,760 --> 00:51:26,320
Speaker 1: around for a couple of days. Asked a bunch of questions,

967
00:51:26,360 --> 00:51:29,080
Speaker 1: and he said, I was thinking of this as maybe

968
00:51:29,160 --> 00:51:31,000
Speaker 1: trying to package it up and sell it as like

969
00:51:31,120 --> 00:51:34,239
Speaker 1: four in ESPN, thirty for thirty short or something like that. Yeah,

970
00:51:34,440 --> 00:51:37,360
Speaker 1: and he said, but I think there's so much more here.

971
00:51:38,400 --> 00:51:39,000
Speaker 3: I'll be back.

972
00:51:39,160 --> 00:51:41,160
Speaker 2: And what did Lane tell Rich about OC?

973
00:51:41,719 --> 00:51:42,960
Speaker 3: Lane doesn't tell Rich anything.

974
00:51:43,400 --> 00:51:47,920
Speaker 1: Lane has a just an oppress conference, right, and so

975
00:51:47,960 --> 00:51:51,520
Speaker 1: he just googles, oc Lane, never meets Rich or any

976
00:51:51,520 --> 00:51:53,680
Speaker 1: of that. It's just the newspaper. So we kind of

977
00:51:53,680 --> 00:51:54,960
Speaker 1: followed the trail of the stores.

978
00:51:55,040 --> 00:51:55,600
Speaker 4: Alloway to you.

979
00:51:56,520 --> 00:51:57,560
Speaker 3: So three weeks.

980
00:51:57,360 --> 00:52:02,440
Speaker 1: Later he and Dan and TJ. Martin, who are the

981
00:52:02,440 --> 00:52:07,120
Speaker 1: directors of Undefeated, show up in Memphis with a couple

982
00:52:07,160 --> 00:52:13,120
Speaker 1: of handheld film recorders and they cameras, and they rent

983
00:52:13,120 --> 00:52:15,520
Speaker 1: a two bedroom apartment and they say, we're going to

984
00:52:15,560 --> 00:52:19,520
Speaker 1: make a movie. No boom trucks, no big budget nothing.

985
00:52:21,120 --> 00:52:24,160
Speaker 1: Dan and Rich's only credit to their name prior to

986
00:52:24,239 --> 00:52:29,240
Speaker 1: Undefeated was a thought provoking, heartwarming documentary on the world.

987
00:52:29,160 --> 00:52:31,640
Speaker 3: Series of Beer Pong. That's all they'd ever done.

988
00:52:32,560 --> 00:52:37,080
Speaker 1: And Dan and TJ spend nine months here following us

989
00:52:37,080 --> 00:52:39,200
Speaker 1: around in filming us, and they go back to la

990
00:52:39,239 --> 00:52:41,360
Speaker 1: and say, we're going to make a movie. So we

991
00:52:41,520 --> 00:52:44,760
Speaker 1: think we may see this thing on Channel four hundred

992
00:52:44,760 --> 00:52:47,160
Speaker 1: and fifty two some Tuesday at two.

993
00:52:46,960 --> 00:52:49,359
Speaker 3: In the morning. And a year and a half later,

994
00:52:49,400 --> 00:52:52,799
Speaker 3: I'm walking down the Red Carpet Academy Awards. How they

995
00:52:52,800 --> 00:52:53,160
Speaker 3: found us.

996
00:52:53,280 --> 00:52:55,799
Speaker 2: That's how special that season was, Coach. I mean, it

997
00:52:55,840 --> 00:52:57,960
Speaker 2: wasn't just the filmmakers, just the timing.

998
00:52:58,239 --> 00:53:00,960
Speaker 1: The timing was great, But you got to understand Dan

999
00:53:01,040 --> 00:53:05,719
Speaker 1: and TJ and Rich sixteen hours a day. I mean,

1000
00:53:05,760 --> 00:53:07,799
Speaker 1: they were there when I woke up, they were there

1001
00:53:07,840 --> 00:53:10,480
Speaker 1: when I went to sleep. You know, some of those

1002
00:53:10,680 --> 00:53:13,160
Speaker 1: scenes that you see in the film. People always talk

1003
00:53:13,200 --> 00:53:16,960
Speaker 1: about the ending scene while I'm hugging oh see, or

1004
00:53:17,040 --> 00:53:20,600
Speaker 1: people talk about, you know, the money getting a scholarship,

1005
00:53:20,680 --> 00:53:24,080
Speaker 1: or people talk about me driving down the street with

1006
00:53:24,280 --> 00:53:28,440
Speaker 1: Chavis on the sidewalk. None of that was staged. None

1007
00:53:28,440 --> 00:53:29,839
Speaker 1: of that was they have you done again?

1008
00:53:29,840 --> 00:53:31,600
Speaker 3: They were ready, but they were there.

1009
00:53:32,000 --> 00:53:35,840
Speaker 1: Their presence and then their ability to take five hundred

1010
00:53:35,880 --> 00:53:40,440
Speaker 1: and fifty hours of film and construct a story. It

1011
00:53:40,600 --> 00:53:44,520
Speaker 1: was an hour and forty five forty eight minutes a

1012
00:53:44,600 --> 00:53:47,520
Speaker 1: lot of talent. So yeah, it was they caught lightning

1013
00:53:47,560 --> 00:53:51,080
Speaker 1: in a bottle in terms of that year and the personalities,

1014
00:53:51,120 --> 00:53:54,160
Speaker 1: for sure. But my gosh, they worked it and they

1015
00:53:54,160 --> 00:53:58,239
Speaker 1: did a beautiful job crafting a story that tugs on

1016
00:53:58,280 --> 00:53:59,239
Speaker 1: people's hearts.

1017
00:53:59,360 --> 00:53:59,839
Speaker 4: I did.

1018
00:54:00,040 --> 00:54:02,360
Speaker 2: I did eighty hours of footage into ninety minutes, and

1019
00:54:02,400 --> 00:54:03,400
Speaker 2: that took me five years.

1020
00:54:03,440 --> 00:54:05,399
Speaker 4: I can't imagine five hundred and fifty hours.

1021
00:54:05,400 --> 00:54:07,759
Speaker 3: And that's what they went back to LA with.

1022
00:54:08,000 --> 00:54:10,480
Speaker 2: How did you design to invest in manassas in the

1023
00:54:10,520 --> 00:54:11,080
Speaker 2: first place.

1024
00:54:11,600 --> 00:54:12,800
Speaker 3: I've always coached football.

1025
00:54:13,520 --> 00:54:17,399
Speaker 1: When I graduated, my mom was married, divorced five times.

1026
00:54:18,680 --> 00:54:21,960
Speaker 1: My fourth daddy took out a pistol and shot at

1027
00:54:22,000 --> 00:54:24,640
Speaker 1: us down a hallway one night. That's where I come from.

1028
00:54:25,440 --> 00:54:30,279
Speaker 1: The I had two loving grandfathers, but the men that

1029
00:54:30,320 --> 00:54:33,120
Speaker 1: were in my lives every day that made the most

1030
00:54:33,120 --> 00:54:36,600
Speaker 1: difference in my life from our coaches. And so I

1031
00:54:36,640 --> 00:54:40,120
Speaker 1: went to school and studied English and psychology. I was

1032
00:54:40,280 --> 00:54:43,239
Speaker 1: going to be a child psychiatrist or side psychologist, is

1033
00:54:43,239 --> 00:54:45,759
Speaker 1: what I wanted to be, but kind of ran out

1034
00:54:45,800 --> 00:54:48,840
Speaker 1: of money and I started teaching and coaching football for

1035
00:54:48,880 --> 00:54:53,920
Speaker 1: a living because I think it's a calling, because those

1036
00:54:53,960 --> 00:54:55,840
Speaker 1: are the very people that made such a big difference

1037
00:54:55,880 --> 00:55:00,719
Speaker 1: in my life. Got married, had four kids in four years,

1038
00:55:00,760 --> 00:55:04,080
Speaker 1: seventeen thousand dollars years a teacher, didn't pay the bills anymore,

1039
00:55:04,200 --> 00:55:06,919
Speaker 1: no insurance. I probably should have had a card back then,

1040
00:55:08,680 --> 00:55:16,280
Speaker 1: and I got into business, but coaching was always my passion.

1041
00:55:16,400 --> 00:55:19,200
Speaker 1: So in Tennessee, you can be a non faculty football

1042
00:55:19,239 --> 00:55:22,160
Speaker 1: coach if you go take a bunch of tests and

1043
00:55:22,160 --> 00:55:23,840
Speaker 1: stuff in Nashville and get accredited.

1044
00:55:23,840 --> 00:55:24,840
Speaker 3: And so I did and.

1045
00:55:24,719 --> 00:55:27,960
Speaker 1: So I always coached, even after I did it for

1046
00:55:28,000 --> 00:55:31,640
Speaker 1: a living. I continued to coach when I was working

1047
00:55:31,680 --> 00:55:34,840
Speaker 1: outside of the field as a profession. And when I

1048
00:55:34,840 --> 00:55:37,600
Speaker 1: started my business in two thousand and one, I really

1049
00:55:37,600 --> 00:55:39,600
Speaker 1: thought I wasn't going to be able to coach anymore.

1050
00:55:39,280 --> 00:55:40,879
Speaker 3: Because I was right.

1051
00:55:42,160 --> 00:55:45,920
Speaker 1: And this guy who knew me and knew my background

1052
00:55:45,960 --> 00:55:49,600
Speaker 1: and coaching called up and said, we've got seventeen kids,

1053
00:55:49,640 --> 00:55:54,520
Speaker 1: we've won three games and ten years. We need help.

1054
00:55:54,719 --> 00:55:57,040
Speaker 1: Would you be interested? And I didn't even know where

1055
00:55:57,080 --> 00:56:00,480
Speaker 1: Manassis was, but it happened to be a quarter of

1056
00:56:00,520 --> 00:56:01,360
Speaker 1: a mile from where.

1057
00:56:01,200 --> 00:56:02,000
Speaker 3: My business was.

1058
00:56:02,120 --> 00:56:02,440
Speaker 4: Wow.

1059
00:56:02,520 --> 00:56:03,520
Speaker 3: So the truth is the.

1060
00:56:03,440 --> 00:56:06,759
Speaker 1: Reason I went to Manassas was convenient, still and stow away.

1061
00:56:07,040 --> 00:56:09,640
Speaker 1: That's it, just convenient. I didn't go there to save it.

1062
00:56:09,680 --> 00:56:11,839
Speaker 1: I would love coaching football. I didn't go there save

1063
00:56:11,880 --> 00:56:15,239
Speaker 1: anybody didn't go there. Remember the camera showed up five

1064
00:56:15,360 --> 00:56:18,560
Speaker 1: years after. Yeh, I just went because I love to

1065
00:56:18,560 --> 00:56:21,120
Speaker 1: coach football. I love to have an impact on kids,

1066
00:56:21,520 --> 00:56:25,200
Speaker 1: and it was convenient. That is truly why there's you

1067
00:56:25,239 --> 00:56:28,840
Speaker 1: talk about the least heroic reason for doing anything, and

1068
00:56:28,920 --> 00:56:30,960
Speaker 1: people want to put all kinds of tags on all

1069
00:56:31,000 --> 00:56:34,239
Speaker 1: of the work I did of Anassis. I'm telling you no,

1070
00:56:35,200 --> 00:56:36,719
Speaker 1: all shucks, false humility.

1071
00:56:36,880 --> 00:56:38,920
Speaker 3: I went to Manassas because it was convenient.

1072
00:56:40,400 --> 00:56:43,440
Speaker 2: Man and again, the film is undefeated. If you haven't

1073
00:56:43,440 --> 00:56:45,120
Speaker 2: seen it, or you haven't seen it in ten years,

1074
00:56:45,200 --> 00:56:48,640
Speaker 2: and look it up on Amazon right now. I bought it,

1075
00:56:48,840 --> 00:56:52,080
Speaker 2: you should buy it. Send it to your friends. It's incredible.

1076
00:56:53,400 --> 00:56:56,160
Speaker 2: You know, you towards the end of film, you share

1077
00:56:56,200 --> 00:56:58,000
Speaker 2: the tension that you had kind of the coach the

1078
00:56:58,080 --> 00:57:00,520
Speaker 2: kids of the Nassas versus your own kid. Yeah, and

1079
00:57:00,560 --> 00:57:04,680
Speaker 2: you felt that the tension that maybe a slipping opportunity,

1080
00:57:05,200 --> 00:57:06,879
Speaker 2: and so you know you can sort of retire from

1081
00:57:06,880 --> 00:57:11,320
Speaker 2: an Assis and then you focus on your kids. Honestly,

1082
00:57:11,400 --> 00:57:14,760
Speaker 2: what is the epilogue with your kids? Do you feel

1083
00:57:14,760 --> 00:57:16,600
Speaker 2: like you were able to get back in their lives

1084
00:57:16,600 --> 00:57:21,439
Speaker 2: in time? Like, how do you feel like that went after?

1085
00:57:21,800 --> 00:57:22,040
Speaker 3: Great?

1086
00:57:22,080 --> 00:57:25,960
Speaker 1: That's a great question. Not bad for somebody who's not

1087
00:57:26,040 --> 00:57:29,960
Speaker 1: a professional interviewer. I got to coach all of my

1088
00:57:30,080 --> 00:57:35,080
Speaker 1: children in school. They were all like in sixth seventh

1089
00:57:35,080 --> 00:57:37,480
Speaker 1: grade at the time I left Masses, So I got

1090
00:57:37,520 --> 00:57:41,320
Speaker 1: to coach one of my sons in football. I I

1091
00:57:41,360 --> 00:57:43,440
Speaker 1: got to go to one of my sons wrestling matches.

1092
00:57:43,480 --> 00:57:43,960
Speaker 3: All of them.

1093
00:57:44,040 --> 00:57:46,040
Speaker 1: I got to coach one of my daughter, two of

1094
00:57:46,080 --> 00:57:49,520
Speaker 1: my daughters in basketball. I got to go to their games,

1095
00:57:50,160 --> 00:57:53,240
Speaker 1: ended up coaching one of my sons in both junior.

1096
00:57:53,080 --> 00:57:54,160
Speaker 3: High and high school.

1097
00:57:55,120 --> 00:58:00,760
Speaker 1: And not only was I able to reconnect, it was

1098
00:58:01,960 --> 00:58:04,160
Speaker 1: the most enriching time of my life because I got

1099
00:58:04,160 --> 00:58:06,560
Speaker 1: to have my Kkeneta too. I got to continue to coach,

1100
00:58:06,600 --> 00:58:08,520
Speaker 1: but this time I got to do with young kids

1101
00:58:09,760 --> 00:58:15,440
Speaker 1: so much, to the point that after they graduated and

1102
00:58:15,920 --> 00:58:18,800
Speaker 1: moved on to college, and since I've gone back to

1103
00:58:18,880 --> 00:58:23,120
Speaker 1: coaching and they come to my games, they hang out

1104
00:58:23,160 --> 00:58:28,040
Speaker 1: with me, they helped feed players, they raise money, so

1105
00:58:28,200 --> 00:58:31,120
Speaker 1: now they are actually involved with me coaching.

1106
00:58:31,160 --> 00:58:35,920
Speaker 2: Now back not of an Assis, No, I'm not back.

1107
00:58:35,720 --> 00:58:38,360
Speaker 3: Of an asss. After Anassis, I went to.

1108
00:58:38,400 --> 00:58:41,040
Speaker 1: A couple of different schools and now I'm at a

1109
00:58:41,120 --> 00:58:46,880
Speaker 1: school in Memphis called Middle College. And actually my youngest

1110
00:58:46,880 --> 00:58:50,600
Speaker 1: son during the playoffs sat in the booth and with

1111
00:58:50,680 --> 00:58:56,120
Speaker 1: a headset on and help helped distinguish defensive coverages while

1112
00:58:56,160 --> 00:58:57,240
Speaker 1: I was calling the offense.

1113
00:58:57,280 --> 00:59:00,120
Speaker 5: So amazingly because his team got crossed early on the

1114
00:59:00,160 --> 00:59:02,360
Speaker 5: season by you guys, and yeah.

1115
00:59:02,560 --> 00:59:04,200
Speaker 4: You played your son's team my.

1116
00:59:04,240 --> 00:59:11,360
Speaker 3: Son was coaching. I played them and beat them. We

1117
00:59:11,400 --> 00:59:12,520
Speaker 3: will be right back.

1118
00:59:21,840 --> 00:59:22,760
Speaker 4: So you're an empty nester.

1119
00:59:22,840 --> 00:59:24,440
Speaker 2: But and you feel like you say that you were

1120
00:59:24,440 --> 00:59:27,440
Speaker 2: able to get back in time, that's that's amazing.

1121
00:59:27,600 --> 00:59:29,680
Speaker 1: Yeah, I don't want to overdo it. It's not like

1122
00:59:29,760 --> 00:59:32,200
Speaker 1: our family was falling apart. It's just I was spending

1123
00:59:32,240 --> 00:59:38,720
Speaker 1: too much time away and Lisa was dead nuts, right,

1124
00:59:38,880 --> 00:59:41,000
Speaker 1: which is you're going to wake up one day if

1125
00:59:41,040 --> 00:59:42,680
Speaker 1: you don't take the opportunity to do this with your

1126
00:59:42,680 --> 00:59:43,520
Speaker 1: own children.

1127
00:59:43,240 --> 00:59:44,360
Speaker 3: To have a lot of regrets.

1128
00:59:44,400 --> 00:59:48,000
Speaker 1: And it really wasn't about the kids not getting what

1129
00:59:48,360 --> 00:59:49,160
Speaker 1: they needed for me.

1130
00:59:49,240 --> 00:59:51,280
Speaker 3: It was about me not getting what I needed for

1131
00:59:51,400 --> 00:59:57,240
Speaker 3: my family and partially regretting something I would never get back.

1132
00:59:57,400 --> 00:59:59,560
Speaker 3: And it was the absolute right thing to do. And

1133
01:00:00,080 --> 01:00:03,160
Speaker 3: life and our family's life has been enriched by the

1134
01:00:03,200 --> 01:00:04,160
Speaker 3: time we spent together.

1135
01:00:05,600 --> 01:00:05,760
Speaker 4: Uh.

1136
01:00:06,040 --> 01:00:09,400
Speaker 2: You talk about the playoffs, going to the Manassa's playoff game,

1137
01:00:09,680 --> 01:00:13,560
Speaker 2: you know, absolutely gun gun wrenching, uh, fumbling the opportunity

1138
01:00:13,640 --> 01:00:16,320
Speaker 2: to go up two scores late there, that was that

1139
01:00:16,480 --> 01:00:18,120
Speaker 2: was tough.

1140
01:00:19,080 --> 01:00:19,880
Speaker 3: I'll never forget.

1141
01:00:20,240 --> 01:00:22,480
Speaker 2: Yeah, man, you had a shot that kind of closed

1142
01:00:22,480 --> 01:00:24,920
Speaker 2: the door on them, and it just didn't happen, you know,

1143
01:00:25,080 --> 01:00:28,320
Speaker 2: throw the pick late? And how do you you talked

1144
01:00:28,320 --> 01:00:31,760
Speaker 2: about in the film, Like I think character is defined

1145
01:00:31,760 --> 01:00:34,840
Speaker 2: by how you define how you handle loss, an adversity,

1146
01:00:34,960 --> 01:00:39,080
Speaker 2: not victory. How do you feel the team handled that

1147
01:00:39,160 --> 01:00:43,000
Speaker 2: loss that playoffs better than me?

1148
01:00:44,040 --> 01:00:46,680
Speaker 1: You know, those those kids knew that they were really

1149
01:00:46,720 --> 01:00:49,360
Speaker 1: good at what they'd done, that they developed a craft,

1150
01:00:49,400 --> 01:00:52,600
Speaker 1: that they'd committed, that they'd answered all of my calls

1151
01:00:52,680 --> 01:00:56,760
Speaker 1: to rise above so many of the circumstances that each

1152
01:00:56,760 --> 01:00:59,840
Speaker 1: of them came from. And they they went from probably

1153
01:00:59,840 --> 01:01:01,640
Speaker 1: one of the worst teams the entire state to one

1154
01:01:01,640 --> 01:01:06,160
Speaker 1: of the most respected. And I believe they carried that

1155
01:01:06,240 --> 01:01:10,160
Speaker 1: sense of pride with them long after the days of

1156
01:01:10,200 --> 01:01:16,920
Speaker 1: playing are over. I felt like I let them down

1157
01:01:17,680 --> 01:01:25,560
Speaker 1: and I wanted no that game. I felt like there

1158
01:01:25,560 --> 01:01:28,400
Speaker 1: were some things I should have prepared them better for

1159
01:01:29,200 --> 01:01:32,959
Speaker 1: that in hindsight, they weren't prepared for. And I feel

1160
01:01:33,000 --> 01:01:35,040
Speaker 1: like there were some calls I made in that game

1161
01:01:35,080 --> 01:01:37,720
Speaker 1: that I wish I had back. There's no coach on

1162
01:01:37,840 --> 01:01:42,720
Speaker 1: earth that after a loss doesn't question himself more than

1163
01:01:42,920 --> 01:01:45,760
Speaker 1: anybody on the team, or the stands or the press does.

1164
01:01:46,240 --> 01:01:50,400
Speaker 1: It's just any coach with their salt, because the truth is,

1165
01:01:50,600 --> 01:01:54,120
Speaker 1: other people can speculate. We know what we did right,

1166
01:01:54,200 --> 01:01:55,000
Speaker 1: what we did wrong.

1167
01:01:55,240 --> 01:01:58,840
Speaker 3: And so I had the hardest time with the loss

1168
01:01:58,880 --> 01:02:01,280
Speaker 3: because I felt like I those kids down and didn't

1169
01:02:01,280 --> 01:02:04,960
Speaker 3: give them one of everything that they needed to be successful.

1170
01:02:06,080 --> 01:02:09,960
Speaker 1: They played their arts out, they never quit. There were

1171
01:02:09,960 --> 01:02:13,880
Speaker 1: positions that had I done a little differently, maybe we

1172
01:02:14,000 --> 01:02:17,760
Speaker 1: might have won the game. And so, however, you're a

1173
01:02:17,800 --> 01:02:20,640
Speaker 1: really right. I define character is not how you handle

1174
01:02:20,720 --> 01:02:24,760
Speaker 1: your successes, but how you handle your failures. I don't

1175
01:02:24,800 --> 01:02:28,320
Speaker 1: think hard times build character. I think hard times revealed character,

1176
01:02:28,920 --> 01:02:35,439
Speaker 1: and so you know, learning from it, becoming a better

1177
01:02:35,520 --> 01:02:40,840
Speaker 1: coach from it, working harder to prepare for it. I

1178
01:02:40,920 --> 01:02:44,440
Speaker 1: now have a mantra that if any of my teams

1179
01:02:44,480 --> 01:02:47,520
Speaker 1: lose a football game, I'm going to do everything I

1180
01:02:47,560 --> 01:02:50,600
Speaker 1: can Monday through Thursday to make Sir Friday's loss is

1181
01:02:50,640 --> 01:02:59,240
Speaker 1: not my fault. And that comes from, you know, having

1182
01:02:59,360 --> 01:03:02,040
Speaker 1: lost and the gut riching feeling that I could have

1183
01:03:02,080 --> 01:03:04,400
Speaker 1: done better to keep my kids from losing. And so

1184
01:03:05,360 --> 01:03:08,640
Speaker 1: now my goal is to work my ass off so

1185
01:03:08,880 --> 01:03:11,640
Speaker 1: hard in film on Saturday and Sundays and practice on

1186
01:03:11,680 --> 01:03:15,080
Speaker 1: Mondays through Thursdays that if something happens on Friday that

1187
01:03:15,160 --> 01:03:18,480
Speaker 1: we don't get the w it's not because I didn't

1188
01:03:18,560 --> 01:03:20,720
Speaker 1: do my job for my kids, right.

1189
01:03:21,280 --> 01:03:23,000
Speaker 2: But you got to see, and we got to see

1190
01:03:23,000 --> 01:03:25,400
Speaker 2: in the film that it worked, Like what you instilled

1191
01:03:25,400 --> 01:03:28,680
Speaker 2: in those kids worked, and you said to yourself that

1192
01:03:28,720 --> 01:03:32,600
Speaker 2: the kids responded better than you did, and they went

1193
01:03:32,640 --> 01:03:35,040
Speaker 2: back to the playoffs. I mean I looked it up,

1194
01:03:35,120 --> 01:03:37,240
Speaker 2: like the year after that team went to the playoffs.

1195
01:03:37,240 --> 01:03:39,400
Speaker 2: There's nothing embellished by that story. It was twenty eight

1196
01:03:39,480 --> 01:03:42,200
Speaker 2: to twenty seven, and then they went. They knocked on

1197
01:03:42,240 --> 01:03:44,320
Speaker 2: the door the next year or the year after that,

1198
01:03:44,360 --> 01:03:46,720
Speaker 2: the year after that. I do think it took seven

1199
01:03:46,800 --> 01:03:49,400
Speaker 2: more years of playoff games before they had.

1200
01:03:49,320 --> 01:03:49,960
Speaker 4: Their first win.

1201
01:03:50,120 --> 01:03:51,000
Speaker 3: Yeah, but they got it.

1202
01:03:51,040 --> 01:03:52,959
Speaker 2: They got it. It was a twenty fifteen or something,

1203
01:03:52,960 --> 01:03:54,920
Speaker 2: twenty fourteen to day. Were you there or what?

1204
01:03:55,120 --> 01:03:55,240
Speaker 3: Like?

1205
01:03:55,280 --> 01:03:57,280
Speaker 4: What did that mean when you finally.

1206
01:03:57,080 --> 01:04:00,440
Speaker 1: Saw the God was happy for the school, but by them. Listen,

1207
01:04:01,520 --> 01:04:05,560
Speaker 1: the memory of a coach last. A coaches generation is

1208
01:04:05,600 --> 01:04:09,560
Speaker 1: four years right right, freshman the sophomores gone by the

1209
01:04:09,600 --> 01:04:12,240
Speaker 1: time that team had won. There was a story about

1210
01:04:12,240 --> 01:04:14,200
Speaker 1: this guy named Coach Bill, and there was a movie.

1211
01:04:14,280 --> 01:04:16,240
Speaker 1: But I didn't know any of those kids. I didn't

1212
01:04:16,240 --> 01:04:18,680
Speaker 1: know the administration. I was happy for the school. I

1213
01:04:18,760 --> 01:04:21,360
Speaker 1: was happy for those kids, but I'd moved on and

1214
01:04:21,400 --> 01:04:26,680
Speaker 1: they'd moved on. But yeah, I mean it was The

1215
01:04:26,760 --> 01:04:33,320
Speaker 1: point is the culture of that program outlived me, which

1216
01:04:33,400 --> 01:04:34,960
Speaker 1: is exactly what it should do.

1217
01:04:36,160 --> 01:04:39,480
Speaker 4: Yeah, it's stuck, right, it's stuck. And that's I mean.

1218
01:04:39,520 --> 01:04:42,160
Speaker 2: They didn't they would win three games every four weeks

1219
01:04:42,200 --> 01:04:43,160
Speaker 2: instead of every ten years.

1220
01:04:43,240 --> 01:04:46,400
Speaker 4: That's a coach bill. That's right, that's pretty good. I've

1221
01:04:46,400 --> 01:04:46,640
Speaker 4: got it.

1222
01:04:46,720 --> 01:04:51,000
Speaker 2: I've just almost one of my questions here. You mentioned

1223
01:04:51,040 --> 01:04:53,480
Speaker 2: one thing in the film that I didn't get. There

1224
01:04:53,520 --> 01:04:55,880
Speaker 2: wasn't a lot of time talking about it. How exactly

1225
01:04:55,920 --> 01:05:00,560
Speaker 2: did you avoid having to take the checks the bigger

1226
01:05:00,600 --> 01:05:02,600
Speaker 2: schools to go get your butt kicked for a ten

1227
01:05:02,600 --> 01:05:03,160
Speaker 2: thousand dollars.

1228
01:05:03,360 --> 01:05:04,400
Speaker 4: There's like a booster club.

1229
01:05:04,680 --> 01:05:05,520
Speaker 3: No booster club.

1230
01:05:05,560 --> 01:05:07,959
Speaker 4: It was not a booster club. There was something called.

1231
01:05:08,640 --> 01:05:12,120
Speaker 1: We created a five oh one c three called Man, Rise,

1232
01:05:12,240 --> 01:05:15,080
Speaker 1: Rise up, and be a man. But really all that

1233
01:05:15,280 --> 01:05:18,600
Speaker 1: was was a holding account. If you want to know

1234
01:05:18,640 --> 01:05:20,720
Speaker 1: the truth. I went to people who I knew had

1235
01:05:20,760 --> 01:05:26,240
Speaker 1: money in Memphis, and I said, these kids come from

1236
01:05:26,280 --> 01:05:33,440
Speaker 1: these circumstances, and hear the demographics, and in order to

1237
01:05:33,440 --> 01:05:36,080
Speaker 1: have a football team, they have to have about thirty

1238
01:05:36,080 --> 01:05:38,800
Speaker 1: thousand dollars a year to pay for referees and buses

1239
01:05:38,960 --> 01:05:42,200
Speaker 1: and equipment and all that. And to raise that thirty

1240
01:05:42,240 --> 01:05:45,320
Speaker 1: thousand dollars a year, they have to pimp themselves out

1241
01:05:45,360 --> 01:05:49,000
Speaker 1: four or five times a year and go play off

1242
01:05:49,080 --> 01:05:52,040
Speaker 1: somewhere against massive schools and get beat to death.

1243
01:05:52,800 --> 01:05:58,240
Speaker 3: And it's wrong. And writing a five thousand dollars check

1244
01:05:59,000 --> 01:06:03,680
Speaker 3: will keep kids from disenfranchised places from having to be

1245
01:06:03,840 --> 01:06:06,800
Speaker 3: sold down the river and thought of as second class citizens.

1246
01:06:07,640 --> 01:06:11,680
Speaker 3: Give me a check. And so I raced to like

1247
01:06:11,760 --> 01:06:12,280
Speaker 3: the players.

1248
01:06:12,280 --> 01:06:13,680
Speaker 4: They come back thinking they're less.

1249
01:06:13,680 --> 01:06:14,360
Speaker 3: Then that's it.

1250
01:06:14,600 --> 01:06:17,280
Speaker 1: So I raced over the course of four years about

1251
01:06:17,320 --> 01:06:19,920
Speaker 1: two hundred thousand dollars by just begging people to give

1252
01:06:19,960 --> 01:06:23,200
Speaker 1: me money, stuck at man Rise, paid for all that stuff,

1253
01:06:23,200 --> 01:06:26,080
Speaker 1: and quit playing pay games. And then by the time

1254
01:06:27,000 --> 01:06:29,880
Speaker 1: our last year rolled around, the very teams that used

1255
01:06:29,920 --> 01:06:33,000
Speaker 1: to pay us to come get our asses beat, we

1256
01:06:33,040 --> 01:06:35,439
Speaker 1: had built big enough that we would go beat them

1257
01:06:35,520 --> 01:06:36,600
Speaker 1: for free.

1258
01:06:37,440 --> 01:06:40,560
Speaker 2: You ruined someone's homecoming, they used to keep you ten

1259
01:06:40,600 --> 01:06:41,200
Speaker 2: thousand dollars.

1260
01:06:41,280 --> 01:06:44,520
Speaker 3: I did it with Middle College this year. Wow, love it.

1261
01:06:44,520 --> 01:06:46,360
Speaker 1: It was a pay game and we went and it

1262
01:06:46,440 --> 01:06:49,000
Speaker 1: was their homecoming and they paid us twenty five hundred

1263
01:06:49,000 --> 01:06:51,160
Speaker 1: dollars to come beat their last year.

1264
01:06:51,200 --> 01:06:53,120
Speaker 5: Sat down with one of those donors this morning. He

1265
01:06:53,200 --> 01:06:56,160
Speaker 5: brought it up that he donated to the Middle College fund. Oh, Duncan,

1266
01:06:57,680 --> 01:06:59,240
Speaker 5: but you can if you want to well, Duncts.

1267
01:06:59,280 --> 01:07:02,280
Speaker 1: Duncans a buddy of mine, Duncan Williams's investments, and he

1268
01:07:02,360 --> 01:07:04,760
Speaker 1: absolutely did. I called him up, I said, I don't

1269
01:07:04,760 --> 01:07:06,280
Speaker 1: want these kids having to play pay games.

1270
01:07:06,320 --> 01:07:07,240
Speaker 3: He wrote me a big check.

1271
01:07:07,400 --> 01:07:10,000
Speaker 5: The reason I was gonna mention it, though, is encouragement

1272
01:07:10,040 --> 01:07:12,360
Speaker 5: for listeners. Would you have a righteous cause like this,

1273
01:07:12,640 --> 01:07:14,280
Speaker 5: you shouldn't be afraid to ask for money.

1274
01:07:14,520 --> 01:07:17,200
Speaker 2: Oh that's good. Thanks for calling that out. And it's

1275
01:07:17,240 --> 01:07:20,120
Speaker 2: so well framed. I would give to that easily. So

1276
01:07:20,320 --> 01:07:21,240
Speaker 2: that's a good.

1277
01:07:21,360 --> 01:07:24,680
Speaker 1: That's what I have a hard time asking for money.

1278
01:07:24,880 --> 01:07:28,720
Speaker 1: I'm in business. I can sit down across from a

1279
01:07:28,760 --> 01:07:31,280
Speaker 1: guy and ask for a me into our contract and

1280
01:07:31,400 --> 01:07:36,760
Speaker 1: sell my boots off because I'm that's business. And you

1281
01:07:36,800 --> 01:07:39,680
Speaker 1: know I have no problem saying for this money, these

1282
01:07:39,680 --> 01:07:43,840
Speaker 1: are the services and goods I'm going to deliver. When

1283
01:07:43,880 --> 01:07:50,080
Speaker 1: you're dealing with something that is a nonprofit. It's hard

1284
01:07:50,240 --> 01:07:53,840
Speaker 1: for me to switch off my business perspective of asking

1285
01:07:53,880 --> 01:07:57,320
Speaker 1: for money to just asking for a gift. I've never

1286
01:07:57,400 --> 01:08:00,680
Speaker 1: been good at it, but for the kids that I

1287
01:08:00,760 --> 01:08:05,400
Speaker 1: coach in football, I'll do it. I think it's that important.

1288
01:08:06,920 --> 01:08:10,800
Speaker 2: A couple last kind of bullet questions here, how did

1289
01:08:10,800 --> 01:08:13,760
Speaker 2: you get into coaching? And then how did all of

1290
01:08:13,800 --> 01:08:17,160
Speaker 2: this lead to you being a podcast and developing?

1291
01:08:17,400 --> 01:08:20,920
Speaker 1: All right, last question, it's a perfect segue. How I

1292
01:08:20,960 --> 01:08:24,320
Speaker 1: got into coaching is like I said, I was going

1293
01:08:24,400 --> 01:08:27,800
Speaker 1: to get my doctorate in psychology. I came to Memphis

1294
01:08:28,479 --> 01:08:30,759
Speaker 1: and was going to go to the University of Memphis

1295
01:08:30,840 --> 01:08:31,759
Speaker 1: to get my doctorate.

1296
01:08:32,040 --> 01:08:34,679
Speaker 3: And I got a job teaching school.

1297
01:08:35,479 --> 01:08:37,840
Speaker 1: And the guy that gave me the job teaching school

1298
01:08:37,960 --> 01:08:41,759
Speaker 1: was actually the headmaster of my high school at another

1299
01:08:41,880 --> 01:08:44,320
Speaker 1: high school. And by the time I graduated, he was

1300
01:08:44,320 --> 01:08:46,000
Speaker 1: a head master at this new high school. And he

1301
01:08:46,040 --> 01:08:48,680
Speaker 1: gave me a job teaching and he said, hey, we

1302
01:08:48,720 --> 01:08:52,000
Speaker 1: need a coach, an assistant football coach. And I said, sure,

1303
01:08:52,040 --> 01:08:54,439
Speaker 1: I'll do that. It pays a stipend. I can do

1304
01:08:54,479 --> 01:08:58,160
Speaker 1: that during the fall. It won't interrupt school. Six days

1305
01:08:58,160 --> 01:09:02,040
Speaker 1: before our first came the head coach and leaves, and

1306
01:09:02,120 --> 01:09:03,960
Speaker 1: that ed master comes to me and says, I really

1307
01:09:04,040 --> 01:09:06,559
Speaker 1: think you're the most qualified to be that coach. So

1308
01:09:06,640 --> 01:09:08,120
Speaker 1: here I am a tween two year old guy who

1309
01:09:08,160 --> 01:09:13,360
Speaker 1: graduated college and only two months ago, and this program

1310
01:09:13,400 --> 01:09:16,040
Speaker 1: gets stumped in my lap literally five days before the

1311
01:09:16,080 --> 01:09:16,559
Speaker 1: first game.

1312
01:09:16,600 --> 01:09:18,040
Speaker 3: I don't even know all the kids' name shit.

1313
01:09:20,320 --> 01:09:26,240
Speaker 1: And two years later that situation ran into a team

1314
01:09:26,280 --> 01:09:28,600
Speaker 1: that we only had like twenty five kids on a

1315
01:09:28,640 --> 01:09:32,800
Speaker 1: team who went seven and three. I developed all these relationships.

1316
01:09:33,000 --> 01:09:35,400
Speaker 1: Lisa and I were on our second kid at this point.

1317
01:09:35,479 --> 01:09:37,479
Speaker 1: I actually had our second kid, and she was pregnant

1318
01:09:37,520 --> 01:09:38,360
Speaker 1: with our third at this.

1319
01:09:38,360 --> 01:09:43,519
Speaker 3: Point, and I remembered why I wanted a teaching coach

1320
01:09:43,520 --> 01:09:46,160
Speaker 3: in the first place, and it just it was in me.

1321
01:09:46,720 --> 01:09:50,400
Speaker 3: And so, like I said, once I started into business

1322
01:09:50,439 --> 01:09:52,800
Speaker 3: because I need to make more money. It was my

1323
01:09:52,920 --> 01:09:55,880
Speaker 3: passion that I just never quit. That's how I got

1324
01:09:55,920 --> 01:09:58,760
Speaker 3: into it. How do I ended up with a podcast?

1325
01:09:58,800 --> 01:09:59,599
Speaker 4: Well being a CEO.

1326
01:10:00,560 --> 01:10:02,080
Speaker 3: Yeah, So after.

1327
01:10:01,960 --> 01:10:06,599
Speaker 1: The movie and the Academy award, I still speak a lot,

1328
01:10:07,400 --> 01:10:11,160
Speaker 1: do a lot of keynote speaking for companies and organizations

1329
01:10:11,200 --> 01:10:12,000
Speaker 1: and stuff.

1330
01:10:12,040 --> 01:10:16,599
Speaker 3: Like that. After the Academy Awards, I was speaking.

1331
01:10:16,800 --> 01:10:20,519
Speaker 1: Gosh, every week gets somewhere from Nike to Google, to

1332
01:10:20,600 --> 01:10:23,960
Speaker 1: the Olympic Committee to Firestone, just all over the place,

1333
01:10:24,040 --> 01:10:27,679
Speaker 1: and still do a lot of that. And every time

1334
01:10:27,720 --> 01:10:30,479
Speaker 1: I spoke, people would be like, where's your book? So

1335
01:10:31,000 --> 01:10:35,719
Speaker 1: I wrote a book, and then from the book came

1336
01:10:35,800 --> 01:10:38,599
Speaker 1: more speeches, and so all of that just kind of

1337
01:10:38,840 --> 01:10:45,080
Speaker 1: organically grew. So an Oscar speaking circuit book all this

1338
01:10:45,560 --> 01:10:49,200
Speaker 1: secondary life and I'm still coaching football runering by business

1339
01:10:49,200 --> 01:10:56,080
Speaker 1: because that's what I do. And from that notoriety, I

1340
01:10:56,120 --> 01:11:00,920
Speaker 1: did a lot of interviews and one day this guy,

1341
01:11:01,360 --> 01:11:05,960
Speaker 1: I'm still an advisor to my fraternity at ole miss

1342
01:11:06,080 --> 01:11:11,360
Speaker 1: It was a Sigma Wu. Still very involved there because honestly,

1343
01:11:11,439 --> 01:11:14,840
Speaker 1: that experience had a profoundly positive effect on my life.

1344
01:11:15,479 --> 01:11:19,080
Speaker 1: And so one of the guys that was a Sigma Wu,

1345
01:11:19,840 --> 01:11:23,000
Speaker 1: I'm an adult nowlysis five six years ago, who I

1346
01:11:23,200 --> 01:11:26,280
Speaker 1: mentored through some tough times. He was actually the president

1347
01:11:26,320 --> 01:11:30,559
Speaker 1: of attorney. Took a job, told these who took a

1348
01:11:30,640 --> 01:11:36,240
Speaker 1: job at this this radio thing, uh, and he told

1349
01:11:36,320 --> 01:11:38,559
Speaker 1: the guy who was working with about me. They called

1350
01:11:38,600 --> 01:11:40,800
Speaker 1: me up and interviewed me, and the interviewer's name was

1351
01:11:40,840 --> 01:11:45,000
Speaker 1: Alex Cortees Nice, and he interviewed me for this show

1352
01:11:45,040 --> 01:11:51,360
Speaker 1: called Our American Stories. And during an interview, as I

1353
01:11:51,640 --> 01:11:55,000
Speaker 1: want to do, I don't hold my tongue when I'm

1354
01:11:55,040 --> 01:11:58,360
Speaker 1: being interviewed, Alex asked me what we needed to do

1355
01:11:58,520 --> 01:12:03,200
Speaker 1: to fix the proverbial it, and I said, you know,

1356
01:12:03,800 --> 01:12:09,440
Speaker 1: there's in every city and municipality, there's plenty of places

1357
01:12:10,040 --> 01:12:13,320
Speaker 1: where we drive by and we look down that road

1358
01:12:13,400 --> 01:12:17,599
Speaker 1: and we see abject despair and poverty and loss, disenfranchisement.

1359
01:12:17,720 --> 01:12:20,120
Speaker 1: Or we're on the interstate and we drive over the

1360
01:12:20,200 --> 01:12:22,599
Speaker 1: viaduct with the off ramp and we look over the

1361
01:12:22,720 --> 01:12:26,280
Speaker 1: edge of that ramp and we see all of that

1362
01:12:27,320 --> 01:12:28,760
Speaker 1: and we.

1363
01:12:28,720 --> 01:12:32,040
Speaker 3: Think, gosh, don't have a flat tire here.

1364
01:12:32,560 --> 01:12:34,200
Speaker 1: It's not where you want to break down, because you're

1365
01:12:34,200 --> 01:12:36,679
Speaker 1: gonna get invoked, all right, somebody's going to steal everything

1366
01:12:36,680 --> 01:12:38,960
Speaker 1: from you. And then when you safely pass by those

1367
01:12:39,040 --> 01:12:43,479
Speaker 1: areas and you see all that abject despair and loss

1368
01:12:43,479 --> 01:12:46,000
Speaker 1: and you safely pass by, you think to yourself, man,

1369
01:12:46,720 --> 01:12:49,960
Speaker 1: somebody out to do something about that one day, as

1370
01:12:50,000 --> 01:12:53,760
Speaker 1: if that sentiment matters, Like your sentiment.

1371
01:12:53,479 --> 01:12:55,400
Speaker 3: Is going to change something. And by the way, who

1372
01:12:55,439 --> 01:12:56,879
Speaker 3: is somebody the government?

1373
01:12:57,600 --> 01:13:02,040
Speaker 1: They've proven woefully inadequate, and maybe we got to kick

1374
01:13:02,080 --> 01:13:04,439
Speaker 1: that rearview mirror about fifteen degrees to the left and

1375
01:13:04,479 --> 01:13:07,519
Speaker 1: look ourselves and say, maybe maybe I could do something

1376
01:13:07,520 --> 01:13:09,759
Speaker 1: about what the day. And So the answer to Alex's

1377
01:13:09,800 --> 01:13:12,920
Speaker 1: question of what's going to fix the proverbial it is

1378
01:13:12,960 --> 01:13:15,880
Speaker 1: if we have an army of normal folks, millions of

1379
01:13:15,880 --> 01:13:20,000
Speaker 1: people SENIORI is and need, using what they're good at

1380
01:13:20,080 --> 01:13:23,240
Speaker 1: and their passions to fit those areas of need in

1381
01:13:23,280 --> 01:13:25,920
Speaker 1: a very bottom up, localized.

1382
01:13:25,280 --> 01:13:26,560
Speaker 3: Way in their communities.

1383
01:13:26,600 --> 01:13:29,799
Speaker 1: If we had millions of those people doing that across

1384
01:13:29,880 --> 01:13:32,759
Speaker 1: our country and all these areas in need, we could

1385
01:13:32,840 --> 01:13:35,879
Speaker 1: fix the proverbial it. So my answer is not government,

1386
01:13:36,080 --> 01:13:40,040
Speaker 1: not pick NGOs, not any of that, not fancy people

1387
01:13:40,040 --> 01:13:43,360
Speaker 1: in cenn In Fox that are dividing us, not people

1388
01:13:44,000 --> 01:13:48,320
Speaker 1: in LA or San Francisco or Silicon Valley. Just an

1389
01:13:48,479 --> 01:13:51,280
Speaker 1: army of normal folks sceneries and need and filling it.

1390
01:13:51,479 --> 01:13:54,639
Speaker 1: That's what can truly fix our country. And I said

1391
01:13:54,640 --> 01:13:57,559
Speaker 1: that in an interview. Six months later, Alex called me

1392
01:13:57,600 --> 01:13:59,439
Speaker 1: back and he said, I can't quit thinking about what

1393
01:13:59,479 --> 01:14:02,640
Speaker 1: you said. I'm thinking about starting a show called an

1394
01:14:02,720 --> 01:14:04,640
Speaker 1: Army of normal Folks. Based on what you said, I

1395
01:14:04,680 --> 01:14:06,200
Speaker 1: want you to host it. We're going to interview a

1396
01:14:06,200 --> 01:14:08,360
Speaker 1: bunch of normal folks have done incredible things. What do

1397
01:14:08,400 --> 01:14:11,160
Speaker 1: you think? And that was three years ago.

1398
01:14:11,320 --> 01:14:13,800
Speaker 4: That's amazing, Alex the whole time.

1399
01:14:13,840 --> 01:14:16,640
Speaker 2: I'm so aligned with that. That's how Samaritan started. So

1400
01:14:16,800 --> 01:14:19,360
Speaker 2: I do think that's a great way to conclude to conversation.

1401
01:14:19,520 --> 01:14:23,080
Speaker 2: It's just like, that's that's what I need. I need

1402
01:14:23,120 --> 01:14:25,439
Speaker 2: an army in normal folks, and you're helping cultivation that.

1403
01:14:25,600 --> 01:14:27,280
Speaker 3: We all need, so we all need.

1404
01:14:27,600 --> 01:14:31,000
Speaker 1: It's just an army and normal folks, just normal people

1405
01:14:31,680 --> 01:14:34,840
Speaker 1: using what they're good at and what they're passionate about,

1406
01:14:35,120 --> 01:14:38,800
Speaker 1: filling areas of need in their local communities. But three

1407
01:14:38,840 --> 01:14:41,880
Speaker 1: million people doing that across this planet. It fixes so

1408
01:14:41,960 --> 01:14:46,519
Speaker 1: much of what ails us. And and you've evoked race

1409
01:14:46,560 --> 01:14:51,160
Speaker 1: a couple of times in our conversation. In fact, before

1410
01:14:51,160 --> 01:14:53,920
Speaker 1: we ever began, when I tried to pronounce your name,

1411
01:14:53,960 --> 01:14:58,879
Speaker 1: you said, well, that's how white people say it, you know, Jonathan,

1412
01:14:59,080 --> 01:15:03,639
Speaker 1: I believe this. I don't care what color you are,

1413
01:15:03,680 --> 01:15:07,640
Speaker 1: or what you look like, or what your national version is.

1414
01:15:08,040 --> 01:15:10,320
Speaker 1: I don't care who you love. I don't care how

1415
01:15:10,360 --> 01:15:13,280
Speaker 1: you love. I don't care what your sexual orientation is.

1416
01:15:13,360 --> 01:15:17,599
Speaker 1: I don't care how you vote. I don't care who

1417
01:15:17,640 --> 01:15:20,120
Speaker 1: you love, how you vote, I don't care how you worship.

1418
01:15:20,160 --> 01:15:22,080
Speaker 1: I don't care about any of that, because if you're

1419
01:15:22,080 --> 01:15:26,160
Speaker 1: doing something in your community to serve someone who is

1420
01:15:26,240 --> 01:15:29,439
Speaker 1: not as fortunate as blessed as you, regardless of any

1421
01:15:29,439 --> 01:15:33,000
Speaker 1: of that, that's sinning in Fox and the money and

1422
01:15:33,040 --> 01:15:35,360
Speaker 1: the power in New York and Silicon Valley in LA

1423
01:15:35,560 --> 01:15:38,240
Speaker 1: used to constantly divide us. I don't care about any

1424
01:15:38,240 --> 01:15:40,360
Speaker 1: of that, because if you're doing something to serve someone

1425
01:15:40,400 --> 01:15:43,599
Speaker 1: in your community, I can celebrate you, regardless of any

1426
01:15:43,640 --> 01:15:47,480
Speaker 1: of that. And if I'm doing something in my community

1427
01:15:48,680 --> 01:15:53,040
Speaker 1: to serve somebody, you can celebrate me. And So, in

1428
01:15:53,080 --> 01:15:56,519
Speaker 1: addition to the army of normal folks actually fixing all

1429
01:15:56,560 --> 01:15:59,600
Speaker 1: of what else us, I genuine believe it has a

1430
01:15:59,680 --> 01:16:03,160
Speaker 1: unique opportunity to bring people from all walks of life

1431
01:16:03,280 --> 01:16:07,840
Speaker 1: in this melting potted culture of ours together because it

1432
01:16:07,880 --> 01:16:11,639
Speaker 1: breaks down barriers when we can celebrate one another around service.

1433
01:16:13,360 --> 01:16:17,640
Speaker 1: So an army of normal folks has the potential to

1434
01:16:17,720 --> 01:16:22,000
Speaker 1: be an elixir for so much of what Elsi's community

1435
01:16:22,280 --> 01:16:24,000
Speaker 1: was and socially.

1436
01:16:23,720 --> 01:16:26,080
Speaker 4: Was, and that's what's Stand Together's backing.

1437
01:16:26,120 --> 01:16:27,840
Speaker 2: We give them a shout out on the show here,

1438
01:16:29,040 --> 01:16:33,160
Speaker 2: but yeah, thankful, thankful for the time and coach.

1439
01:16:33,080 --> 01:16:36,919
Speaker 5: And just for contexts. They're Standing Together ventures. Their investment

1440
01:16:36,920 --> 01:16:38,880
Speaker 5: in arms is an investor in Samaritans.

1441
01:16:38,880 --> 01:16:42,400
Speaker 2: That's right, that's right there. And yeah, I mean Charles Nicole,

1442
01:16:42,439 --> 01:16:44,840
Speaker 2: all of the members we serve. They need that army

1443
01:16:44,840 --> 01:16:47,360
Speaker 2: of normal people. And it's such an easy thing. Uh

1444
01:16:47,680 --> 01:16:50,679
Speaker 2: my father in law says like if everyone does a little,

1445
01:16:50,760 --> 01:16:52,240
Speaker 2: then I don't have to do that much.

1446
01:16:52,479 --> 01:16:54,600
Speaker 3: That's true, that's so true.

1447
01:16:54,960 --> 01:17:01,240
Speaker 1: Everybody that is Jonathan now Kumar's corner, Kubar's corner and

1448
01:17:01,360 --> 01:17:04,439
Speaker 1: Bill corner with that army and normal folks doing a

1449
01:17:04,600 --> 01:17:11,439
Speaker 1: very impromptu reverse interview, and Jonathan, you actually did a

1450
01:17:11,520 --> 01:17:12,559
Speaker 1: really good job with that.

1451
01:17:12,640 --> 01:17:15,040
Speaker 3: It's not bad. There's a future and podcasting for you

1452
01:17:15,080 --> 01:17:15,719
Speaker 3: if you want.

1453
01:17:15,560 --> 01:17:17,600
Speaker 4: It first, but not the last episode.

1454
01:17:18,400 --> 01:17:18,920
Speaker 3: I love it.

1455
01:17:20,240 --> 01:17:22,599
Speaker 1: Jonathan, thanks for flying down to Memphis from New York

1456
01:17:22,640 --> 01:17:25,519
Speaker 1: and joining us. I've really enjoyed being with you. Good

1457
01:17:25,600 --> 01:17:30,200
Speaker 1: job on your interview, good job being interviewed, and I

1458
01:17:30,280 --> 01:17:33,680
Speaker 1: wish you and Samaritan all the best, and I am

1459
01:17:33,800 --> 01:17:35,920
Speaker 1: seriously we'll follow up with you.

1460
01:17:36,360 --> 01:17:38,160
Speaker 3: I do know a couple of people who run some.

1461
01:17:38,160 --> 01:17:41,280
Speaker 1: Hospital groups around here, and I'm gonna toss it at them.

1462
01:17:41,400 --> 01:17:43,040
Speaker 1: See if we can't get you back to Memphis do

1463
01:17:43,080 --> 01:17:43,479
Speaker 1: some work.

1464
01:17:43,680 --> 01:17:45,839
Speaker 4: That sounds great. We'd love to come to Memphis.

1465
01:17:46,000 --> 01:17:47,960
Speaker 2: Get your wife to add the app to your phone,

1466
01:17:48,040 --> 01:17:50,080
Speaker 2: so start helping people in your.

1467
01:17:49,960 --> 01:17:53,120
Speaker 1: City, wife for kids, somebody will do it. Yeah, absolutely, Jonathan,

1468
01:17:53,120 --> 01:17:53,760
Speaker 1: thanks for being here.

1469
01:17:53,760 --> 01:17:54,439
Speaker 4: We'll be back.

1470
01:17:57,280 --> 01:17:59,320
Speaker 3: And thank you for joining us. This week.

1471
01:18:00,040 --> 01:18:03,679
Speaker 1: Jonathan Kumar has inspired you in general or better yet,

1472
01:18:03,720 --> 01:18:08,280
Speaker 1: to take action by signing up to become a Samaritan,

1473
01:18:08,640 --> 01:18:13,240
Speaker 1: making introductions to hospitals they can partner with, donating to

1474
01:18:13,280 --> 01:18:16,880
Speaker 1: their members' action funds that support their progress, or something

1475
01:18:16,920 --> 01:18:20,240
Speaker 1: else entirely. Please let me know. I'd love to hear

1476
01:18:20,280 --> 01:18:23,160
Speaker 1: about it. You can write me anytime at Bill at

1477
01:18:23,200 --> 01:18:26,639
Speaker 1: normal folks dot us. If you enjoyed this episode, please

1478
01:18:26,680 --> 01:18:30,480
Speaker 1: share with friends and on social subscribe to the podcast,

1479
01:18:30,600 --> 01:18:33,840
Speaker 1: rate it, review it, join the army at normal folks

1480
01:18:33,880 --> 01:18:36,360
Speaker 1: dot us, any and all of these things that will

1481
01:18:36,360 --> 01:18:39,240
Speaker 1: help us grow an army of normal folks.

1482
01:18:39,479 --> 01:18:42,639
Speaker 3: I'm Bill Courtney. Until next time, do it, you can