Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:03):
It's that time, time, time, time, Luck and load.
Speaker 2 (00:11):
Michael Varry Show is on the air. It's Charlie from
BlackBerry Smoke.
Speaker 1 (00:22):
I can feel a good one coming on. It's the
Michael Berry Show.
Speaker 3 (00:27):
Any attempt to restrict drinking and driving here is viewed
by some as downright undemocratic.
Speaker 4 (00:32):
To preparing for the four year anniversary of Russia's passing,
which was the seventeenth, which would have been what a Monday,
we went through some of our favorite Rush Limball audio
and we only played a small bit of it, but
I thought, just as a treat so it doesn't go
(00:53):
to waste, I'd like to share a few that I
really enjoyed.
Speaker 2 (00:56):
One was Rush at his best, and that is being.
Speaker 4 (01:02):
Funny but also revealing something that many people probably didn't know,
which is how Kamala Harris came up in politics, and
that is as the side piece of the very powerful
mayor at the time of San Francisco who would go
on to be the Speaker of the House in California.
(01:25):
And while he was married, she was his mistress and
she gave him.
Speaker 2 (01:31):
Well we know what he did for her.
Speaker 4 (01:35):
We don't know exactly what she did for him, But
Rush kind of made it clear.
Speaker 5 (01:41):
I have two stories about Kamala Harris. One's from the
Spectator and one is it's a one of the one
of the oddball sports websites. The NBA has fired a
freelance photographer because he insulted Kamala Harris.
Speaker 2 (02:03):
His name is Bill Baptiste.
Speaker 5 (02:05):
He's an independent contractor had the deal terminated by the elite.
Speaker 4 (02:09):
Bill Baptiste, by the way, is a Houstonian. He's also
a listener to our show. When that happened, he reached
out to me and we talked every day for a while.
This poor guy was incredibly well regarded in professional sports
and had decades of experience, and they destroyed this man's career,
(02:34):
destroyed his career, And people don't seem to care when
somebody who's not a public figure is destroyed in this
way that they now have to figure out they can't
pay their rent, They have to live with the shame,
the frustration, the hurt, the anguish. Everything you've poured your
life into is taken away from you.
Speaker 2 (02:56):
I mean, this was devastating to him.
Speaker 4 (02:58):
Rewind that A few says from I want people to
hear this, this story because I know this guy personally
and to watch what it did to him. And you know,
everyone else has moved on to the next next big
thing in the news, but not him.
Speaker 5 (03:15):
The NBA has fired a freelance photographer because he insulted
Kamala Harris.
Speaker 2 (03:22):
His name is Bill Baptiste.
Speaker 5 (03:24):
He's an independent contractor had the deal terminated by the
league after he posted a sexist Facebook post referencing Kamala Harris.
He posted an image that read Joe and the hoe.
Speaker 2 (03:44):
Hoe.
Speaker 5 (03:46):
Now, what do you think that's about Joe and the hoe?
Speaker 2 (03:50):
Well, it takes me to the second story they got
read of.
Speaker 5 (03:53):
By the way, it's no secret but public knowledge that
Kamala Harris slapped her up into California political life by
being a very public escort and mattress for California Democrat
Kingmaker Willie Brown. Now, some people read this story mattress.
Didn't he mean mistress? No, I think they meant mattress here.
(04:18):
I think Dove Fisher is the author of the story.
So we have two different stories here that are trading
off the known.
Speaker 2 (04:31):
Fact that she was Willie Brown's mattress.
Speaker 4 (04:34):
Since we're celebrating Rush Limbaugh and I enjoy hearing his
voice I hope you do too. Another clip from him
that I referenced earlier in the week, and it's about
the fact that Democrats never tell voters what they're going
to do once they're elected, because if they did, voters
(04:55):
would vote against them. It'd be like news of Hunter
Biden's laptops. So they talk in terms of rainbows and butterflies,
but that's not what they deliver.
Speaker 5 (05:07):
But if you're really stop to think about it, mob behavior, bullying,
the appearance of insane rage and anger is all they
have left. They don't have any issues, their policies to
run on for the same old reason they can't be honest.
(05:29):
Oh they've got plenty of policies. Oh they got plenty issues.
Oh they have plenty of ideas. They just don't dare
tell anybody what they are not at the run up
to election time.
Speaker 4 (05:44):
That's the sort of thing that you expect to hear
me or whoever else you listen.
Speaker 2 (05:50):
To talk about.
Speaker 4 (05:53):
But when Rush was describing these things, in many cases,
he was the only one described them, and to the
audience to which he spoke, he was often the only
political commentary they were getting that was real. The average
worker was not listening to Bill Buckley or George will
(06:16):
or Bill Crystal or any of the others. Rush was
bringing the university to the masses, and that's how you
build a movement. He also said something else, and I
love the spot native is the sense of urgency he's
talking about. When he said that the only thing that
(06:37):
is certain is right now.
Speaker 5 (06:41):
Someone told me I think, I think this is good.
Speaker 2 (06:45):
Advice may be helpful.
Speaker 5 (06:48):
The only thing that any of us are certain of
is right now today. That's why I thank God every
morning when I wake up, I thank God that I did.
I try to make it the best day I can
no matter what. Don't look too far ahead. I certainly
(07:10):
don't look too far back. I try to remain as
committed to the idea what's supposed to happen will happen
when it's meant to. I mentioned at the outset of
this the first day I told you that I have
a personal relationship with Jesus Christ. It is of the
(07:38):
immense value strength, confidence, and that's why I'm able to
remain fully committed to the idea of that what is
supposed to happen will happen when it's meant to. There's
some comfort in knowing that some things are not in
(08:00):
our hands. It's a lot of fear associated with that too,
but there is some comfort. It's helpful, God, It's helpful
to be able to trust them, to believe in a.
Speaker 1 (08:19):
In a higher planet.
Speaker 5 (08:23):
What a maroon Michael Berry show, What an ignorandom?
Speaker 4 (08:29):
I think it is that the geeks shall inherit the earth,
not the meek.
Speaker 2 (08:35):
This is a glorious time.
Speaker 4 (08:37):
You know, the old uh kind of jab learned to
code that the Left would throw at people when they
would lose their jobs as a coal miner, Well, learn
to code. My late brother's son, Brayden, is a computer programmer,
and I don't know where that came from, because we
are a family full of cops and plant workers, with
(08:57):
one talk show host, nobody in our family. We can
barely turn a computer on, much less code and program.
But he does, and I love it. Well, this is
such a glorious time. The mindset of America is accountability
and transparency. We know that there is behind the curtain
(09:19):
this wizard, and we don't know what that wizard is.
And we know we're pouring all our money in and
nuns coming back. But how on earth do we solve
this problem. It's intransigent, it's too complex to ever solve.
We've heard that, right, And yet here comes along Elon,
who's somewhere on the autism scale, pure genius in a
(09:41):
way that I can hardly comprehend, his reasoning skills, his
ability to process things on a multiplanetary level, and he
brings within these young, really smart guys and they start
tearing apart the details and going here's your way, and
here's your waste, and here's your waste. Well, one of
(10:02):
the names that has come to my attention because of
Elon is on Twitter and the handle is data Republican,
and she says republican with a small R, as in
a person who believes in the republic. This dollar government,
representative government. And so I started reading everything that was said.
I noticed how many people were quoting this very influential woman,
(10:25):
and so I reached out by direct message to her,
and she said, I'd be glad to do it, but
I need you to talk to my guy, and that's
Sean Hendricks, because I need a translator when we do
the interview. So Sean came on and I said, well,
can we talk to you first, and why do we
need a translatter?
Speaker 2 (10:44):
Does she not speak?
Speaker 4 (10:46):
And he said, oh, she's deaf and mute, And I thought, wow,
it's you know, you hear these stories ramone people that
don't have sight, so they have extra you know, they
can hear better.
Speaker 2 (10:55):
It's like you have a heightened sense.
Speaker 4 (10:57):
But anyway, I think it's an inspirational story in addition
to everything else. Sean Hendricks is our guest, and I
appreciate you making yourself available to us.
Speaker 1 (11:05):
Good sir, No, absolutely, thanks for having us on.
Speaker 3 (11:09):
It's always great to get outside the X space and
talk about this on a broader platform so people are aware.
Speaker 2 (11:15):
Well, I told you before we started.
Speaker 4 (11:16):
I don't normally prep guests, but I did Sean because
I knew he probably didn't know much about us. Is
that a lot of national talk shows do their show
as if everybody is on Twitter all day long and
knows what.
Speaker 2 (11:27):
The top story is. I do our show so that.
Speaker 4 (11:29):
The guy that gets out of the plant on his
drive home you understand what we're talking about. So if
there's an acronym, I explain it.
Speaker 2 (11:35):
And I want to.
Speaker 4 (11:36):
First talk about who Data Republican is, and then we're
going to get to you and what data Republican is
doing that came to the attention of Elon that's been
so important to these numbers we're bandying about about government corruption.
Speaker 1 (11:50):
Yeah, she's she was just what.
Speaker 3 (11:53):
She was one of my early followers when I was
doing Western North Carolina disaster relief, and that's how we connected,
and she was basically, you could learn to code, it
goes beyond that, you have to learn to build, Like
there's a you know, AI can code, but it's like
really knowing what you're building is what matters.
Speaker 1 (12:08):
And that's what she did.
Speaker 3 (12:09):
She's a tool builder and so she's an old colonel
database engineer, but she's taken to building tools that parse
all this data and present it in a way that
the regular person can look and see how the money flows.
And I guess, you know, we just didn't realize how
much we needed and wanted that, And now that it's
out there, people are just blown away and how much
(12:29):
money is moving into these mysterious areas that no one
has representation of or transparency through.
Speaker 4 (12:37):
So let's talk about those tools and explain those tools
to those of us who are not computer programmers and
not real tech savvy. Why are those tools important.
Speaker 3 (12:49):
Well, she's taken one point eight terabytes of publicly available
data and put it into the front end. It's on
a website called datarepublican dot com. So you can go
in and tie in an officer search. You got some
guy who's ranting and raving about Trump shutting down USAID. Well,
funny enough, you type his name into the search and
you see the seven charities that are receiving money from
(13:11):
USAID that he's.
Speaker 1 (13:12):
A part of.
Speaker 3 (13:12):
Well, now you can filter his bias through where he's
getting money from and help understand why this guy's so upset.
Speaker 1 (13:19):
They used to hide in the shadows of this stuff.
Speaker 3 (13:21):
You know, now we can go and look, so, well,
he's actually tied to these charities. Where are those charities
getting their money from? So you put their charity number
into the system and it shows all the grants coming in,
and you can basically do your research to find out
these powerful people where their money's coming from. And then
you start to understand their reasons they make the decisions
(13:42):
they're making, the reasons they're fighting so hard to keep
this stuff quiet because this has been a huge flush
fund there and it's not Republican and Democrats. It's both right,
it's not one side or the other. Everyone's had their
hand in this cookie jar. And that's what we're looking
to do is get people transparency through.
Speaker 1 (13:58):
Data through facts.
Speaker 3 (14:00):
And that's something that we've had pulled over our eyes
for many, many years. And with AI and you know
amazing tool builders like data, we can see this stuff.
Speaker 1 (14:09):
Now.
Speaker 2 (14:09):
I'm going to ask some dumb questions because I'm not
afraid to ask dumb questions. The only way I learned anything.
How do you get access to this data?
Speaker 4 (14:17):
Is this data now being made available because somebody has
to hand the data set to you to make sense
of it.
Speaker 3 (14:25):
Well, right, So a lot of this because of how
charities work is transparent. Form nine nineties are kind of
like where you come out in detail, you know what
your charity's doing. I mean you get a tax exemption,
so there is some transparency that comes along with that.
I can't just set up a nonprofit and tell the
government like, hey, you can't look inside, right, So there's
(14:46):
a lot of there's a lot more regulation over a
five to one C three and then we have like
there's donor advised fun I mean, there's just so many
layers to this charity.
Speaker 1 (14:55):
It's funny.
Speaker 3 (14:55):
Even before this data republican thing broke, when I was
up in western North Carolina, I saw so much fraud
with the whole charity system. I used to tell people
the only thing I trust less than the government is charities.
Speaker 1 (15:06):
And then all of a sudden two three.
Speaker 3 (15:07):
Months later, That's why I think I connected so much
with her, as she was showing me why I felt
that way. I could feel it. I just didn't have
the data to prove it. But yeah, this data, these
these the irs website have a lot of these data
sets available. But unless you can cross connect all the data,
it doesn't really mean anything. If I look at the
Kaiser Foundation health Plan Incorporated and I see that it
(15:27):
received eighty two million or eighty two billion, sorry, eighty
two billion dollars, right, what does that mean? Then go
through way and we parse it out and see that
actually only eleven million of that was taxpayer funds. But
it was eleven million of taxpayer funds? Why did tax
payer money go there? So you can start to dig
in and and again, data does not mean a conviction. Right,
(15:50):
doesn't mean that have eleven millions had right? It could
have been a very good reason we sent that money there.
And we've had people use this and say, look at Tyser,
they're stealing money from the taxpayer. No, no, no, you
had a dig deeper than that.
Speaker 4 (16:01):
But Sean, what we were doing before you guys, is
we were sitting back and going, wait a second, how
do they drive a rolls Royce when they're a nonprofit
And he says he only makes anything. We had no tools.
You talk about a tool. We had not tools to
do these things with.
Speaker 2 (16:15):
Hold with me.
Speaker 4 (16:16):
His name if you're on Twitter is Sean at Sean
Hendricks and that's d r I x Sean. She is
Data Republican and you can find them at data Republican
dot com. You can sign up to subscribe for three
bucks a month and you get all their stuff. I
did Data Republican dot com. He's Sean Hendricks. More with him.
Speaker 1 (16:35):
He just shows me what it's like to be, you know,
a real man.
Speaker 2 (16:38):
I have never met someone so wonderful.
Speaker 5 (16:41):
I call him Rhythm.
Speaker 4 (16:42):
Michael Berry, Elon and many others have been very complementary
of the work these folks are doing at Data Republican
dot com. These are number cruncher, computer genius kind of
people genius for me. They they may not like that title,
but for me, it is sean when you talk about
this data from which you're pulling all the you know,
(17:02):
you're making sense of it and analyzing it for us,
was that data available before or has something happened with
Trump that this was now the doors were open and
they go come in here and take a look.
Speaker 3 (17:15):
You know, I'm not quite sure how long Form nine
nineties have been public. You know, I just know that
at the Taxes Them organization, your Form nine ninety is
public disclosure and it's available.
Speaker 1 (17:29):
I mean as far as they know, it's always been
that way.
Speaker 3 (17:32):
And so yeah, the data is there, just there was
no tool, right, No one had sat.
Speaker 1 (17:37):
Down and built this tool.
Speaker 3 (17:39):
And you know what I think what happens is like,
until there's a problem, you don't need you don't know,
you don't know that you need a tool, right, And
so we see there's a problem, We see that there's
mass spending with no direction and no transparency, and so
she's like, well, we need a tool for this. And
when she started building it, it just you know, if
(18:00):
we invent something, you know, there's there's.
Speaker 1 (18:02):
Two ways it can go.
Speaker 3 (18:03):
Nobody wants that invention, or everybody wants it, it seems like
right and just people wanted to know where their money's going.
And I think we're all so tired of paying a
premium on groceries, a premium on fuel, property taxes, income taxes,
you know, death.
Speaker 1 (18:18):
I mean, it just goes on and on and on.
Speaker 3 (18:20):
All our money goes out and we don't get much
for it, I feel like, and so now there's a
tool to go see where is our money going, especially
in this nine to ninety world. And I think the
biggest thing was that if the charity system hadn't been
used to move so much cash around, there had been
no need for a tool. But that's the fact that
it has been us age. We're talking just an unimaginable
(18:42):
amount of cash that's being moved around and there's no
way to sort it out with some kind of very
very elegant tool. And that's what she what she created.
That's why she's become so popular.
Speaker 4 (18:54):
Well, because you know, if you can't if you've got
this amazing uranium but you can't refine it, or you've
got oil reserves but you can't pull out of the earth,
it's worth nothing to anyone. But now it's worth things
because we can write stories about it, I can do
shows about it. But I could have never We couldn't
make sense of any of this. We wouldn't have even
really known that it existed. Sean Hendricks is our guest
(19:17):
data Republican dot com Sewan. You use the term that
these supposed nonprofits, these NGOs are moving cash around so
much that makes it harder to understand.
Speaker 2 (19:27):
Do you get the sense that.
Speaker 4 (19:29):
The moving of cash in this way is an attempt
to launder or obscure or what?
Speaker 2 (19:35):
Do you think the reasoning for that is To the
extent you can tell, I.
Speaker 3 (19:38):
Want to be I want to be careful to allege. Right,
what I can say is how they do it is
the outcome of obscuring and confusing the data. Right, This
stuff goes overseas and we lose track of it. It
goes from company to company. It's harder to track.
Speaker 1 (19:54):
Now.
Speaker 3 (19:55):
I can't speak to intentions that don't have You know,
I can't prove somebody's intention, but I can say, is
there actions one to one hundred percent make it very
hard to track where the money goes. Now, whether that's
intentional or not. I can't speak to that, and that
will come in time. We will start to find out
the intentionality behind it as we start finding people, and
it's really easy for us. They make it very easy.
(20:16):
Those who are screaming the loudest, we just go look
into them and it's like almost every time, you know,
you know, the senators are screaming a lot of US.
Speaker 1 (20:23):
I went and looked.
Speaker 3 (20:24):
Every one of them had voted for the Omniumbus Spending
Bill twenty twenty four that funded this US eight. Right,
So when you find the person's squeaking, they had a
piece of it going.
Speaker 1 (20:34):
You know.
Speaker 4 (20:35):
Now again, it's kind of funny because we always said
in the country the hitting dogs squeels first. It's kind
of funny because they're joining attention to themselves by the
fact that they're screaming about it.
Speaker 3 (20:46):
Oh yeah, every time they get into a beef with
Elon or jd Vance. As soon as I see it,
I'm like straight into the engine. I start pumping names in.
We start doing research and lo and behold, you're tied
to six or seven different things. No wonder you're screaming
because you're you're gravy trains about to get cut off.
You know, and so yeah, I mean it's it's almost
(21:10):
too much to process. And just give me an idea.
In the charity funding tab we have one hundred and
fifty six thousand different funds totaling seven hundred and twenty
three billion dollars, with three hundred and fourteen billion being
government grants. Right, so we're talking three hundred and twenty
two billion dollars of total taxpayer money that's being moved around.
Speaker 1 (21:35):
It's wild.
Speaker 4 (21:36):
I mean, this is an amount of money that exceeds that.
This is more than double what was sent to Ukraine.
You could fight an.
Speaker 2 (21:43):
Entire world, an entire war with.
Speaker 4 (21:46):
A major military superpower for the kind of money we're
talking about here.
Speaker 3 (21:51):
Oh yeah, I mean this is this is unimaginable amount
of dollars. And we wonder why everything's so expensive. I
mean gold right now surging to three thousand dollars an ounce,
you know, a printing money and just pumping it into
the globe.
Speaker 1 (22:05):
Of course, everything's expensive. What do you expect when you
do that stuff? But this is just a small piece
of it. You know.
Speaker 3 (22:12):
I think the next four years, I think we're going
to be awestruck and what we find, what our budget
really looks like and I hear people say all the time,
Oh well, I mean, even if you took the stuff
that we have to pay for, it wouldn't put us
in a deficit. And it's like somehow that that's good
enough reason just to.
Speaker 1 (22:27):
Stay in debt forever.
Speaker 3 (22:29):
Imagine that I told my wife, well, I can't make
enough money to pay out the credit cards, so please
keep spending as much as you want on the credit cards.
Speaker 1 (22:36):
They don't live in a real world like we do.
Speaker 3 (22:38):
And now we can use this data to hold our
politicians accountable. We should fire our politicians for not balancing
our budget.
Speaker 2 (22:47):
It's it's staggering.
Speaker 4 (22:51):
You know what's amazing is we're a month into the
Trump presidency and we've already discovered all of these amazing things.
And you guys are just getting better by the day.
You're just now getting your feet wet to figure out
how to dive into these data sets, and you're going
to notice the things that they're coding.
Speaker 2 (23:12):
You know, I saw the other day that Elon.
Speaker 4 (23:15):
Was talking about the fact that they had the Social
Security Administration had some some millions of people who had
as their death date false.
Speaker 2 (23:25):
So they can never die.
Speaker 4 (23:27):
So you've got millions of people who could who are
supposedly one hundred and fifty years old, getting a Social
Security check and of course that doesn't exist. That means
it's a check going to some conspiracy ring, some fraud ring.
Once these things become clear, we're going to understand that
we shouldn't even be running.
Speaker 2 (23:44):
A deficit as a country.
Speaker 4 (23:46):
It is absurd that we would even be running a
deficit as a country when you consider the work you
guys are doing and all the dollars that are exposed.
In just a moment, we will continue with Sean Hendrix.
The website is Data Republican dot com. It's three bucks
a month to subscribe. I encourage you to do it
only because I did, and I like to support the
(24:07):
work of folks like this. Sean Hendricks is not the
Data Republican. That is a woman with whom we will
also be speaking in the near future through a translator.
Sean Hendrix is part of her group and was willing
to speak to us today. And I am so excited
about what they're doing because I think this is how
you bring real change. I think this is how you
(24:28):
make things in a bite sized manner. In a way
that it's accessible to the general republic, to people that
don't turn on computers. Oh that's where all my money's going. Okay,
now I can be enraged. This is how you message
a campaign strategically to win, and that I find to
be very excited. And when I don't mean elections, I
(24:50):
mean fixing our dad dumb country.
Speaker 2 (24:51):
I have kids. Sean Henders is our guest Data Republican
dot com.
Speaker 1 (24:54):
More coming up, we're going.
Speaker 2 (24:57):
To be changing the name of the Gulf of Mexico to.
Speaker 5 (25:00):
The Gulf of Michael Barry, which has a beautiful room.
Speaker 1 (25:05):
Well.
Speaker 4 (25:06):
John Hendris is our guest Data Republican dot com. This
this is a small group that Elon Musk has been
talking a lot about the great work that they're doing
and exposing the governmental fraud and waste. Sean, I don't
know if you have a list in front of you
or if there are a few that come to mind,
But when you look at the waste and fraud allegedly
(25:28):
that you guys have exposed, were there some things that
jumped out at you that really seemed more egregious than
the rest?
Speaker 3 (25:36):
You know, I'm going to turn the Social Security thing
on its head a little bit. And also real quick,
the data Republican site is free you can We're subscription
paid for, so if you donate, that's great.
Speaker 1 (25:47):
We don't want to pay all this data.
Speaker 3 (25:48):
We want everyone to have access to it, but we
are donation driven, So I do appreciate you putting that
out there. The thing of the social security side, the
thing that struck me this morning when I was looking
through it is, yeah, we talk about the money, but
social security numbers vote right?
Speaker 1 (26:05):
What if?
Speaker 3 (26:05):
And this isn't I'm just theorizing here, but like, that's
a lot of people still on a voter record. If
they're alive in the social security system, are they still
alive in the voter roles? I mean that's managed state
by state, And so I want to dig deeper and
built buy the voter registration information from a state and
then go compare it to whatever we can find on
this this you know, death false flag on the social
(26:29):
Security numbers.
Speaker 1 (26:30):
Maybe it's bigger than just money.
Speaker 3 (26:32):
You know, we always you know, the old joke is
my dad, my granddad voted Republican up until the day
he died, and he voted a Democrat ever since.
Speaker 1 (26:40):
You know, so, But I want to dig into that
because like sometimes we're focused on.
Speaker 3 (26:45):
The money, and it's like, well, what is the bigger
what's the bigger purpose behind the money?
Speaker 1 (26:49):
What are they doing with the money? And that's the thing.
Speaker 3 (26:52):
We really find out that it has a lot to
do with the uniparty and this idea of democracy. Right,
these people on both sides, this uniparty, but leaves without
them sitting in the ivory tower guiding our lives.
Speaker 1 (27:04):
And making our decisions.
Speaker 3 (27:05):
That the Western world would collapse without the genius of
these these government workers, right. I mean, they've put themselves
in a ruling class, a truly a ruling elite, and
that money is to prop up that ideology. And so
it's yeah, sure it's a waste of money, but even worse,
it's paying for bad ideologies across the globe.
Speaker 1 (27:26):
And you know, now we're seeing the damage of it.
Speaker 4 (27:29):
We are, and and you know, I think part of
why these things are allowed to happen is because this
information is obfuscated, This information is withheld, It stays behind
the curtain. The public doesn't know, and so what we
don't see in front of us, we can't concentrate on.
So we tend to focus instead on congressional sex scandals
(27:52):
on you know who said a nasty thing to the other,
and it keeps us spatting with each other when what
really matters is the dollars and cents that we're wasting
in the problems that aren't being solved. Sean, when you
look at where Data Republican is going and in this
very brief period of time, is this burst of popularity
and celebrity to some extent on Twitter?
Speaker 2 (28:12):
For sure?
Speaker 4 (28:13):
What do you see as being the future for her
and you and all of this because there is a
lot to a lot of work to be done here.
Speaker 2 (28:21):
Do you see yourself joining doose?
Speaker 4 (28:23):
Do you see yourself becoming an official organization or have
you even thought about that?
Speaker 3 (28:29):
Well, we did talk about that, and I think stand
Independent makes the most sense. There's a lot of politics
with those and you know it's ran by people who
are in the Trump administration, and you know, for us,
we want to look at this holistically. I want to
be able to look and not have to worry about
if there's a D and R next to the person
that we're finding data on. And so we definitely, we
(28:51):
definitely had that conversation about stand independent. Now are we
here to help. Absolutely, But the independent part I think
gives us more flexibility to focus. I mean, I lively
messaged her two days ago, was like, hey, look I
need a tool where I can do a bulk in
go officer search.
Speaker 1 (29:06):
And like the next morning she's like, it's done.
Speaker 3 (29:09):
You know, there's no approvals, there's no board of directors.
Speaker 1 (29:12):
It's like, we.
Speaker 3 (29:14):
Find it valuable, we jump on it, and we get
it done amazingly, just amazing speed. And so I love
that flexibility and I love not being tied to a
certain political party or another. The goal is for all
Americans to have access to where their money is going,
and we'll just keep building tools as problems arise. That's
the future and that's the goal. Is just to keep
(29:36):
serving the American people by giving them transparency through data.
Speaker 2 (29:40):
What kind of feedback have you received?
Speaker 4 (29:42):
I mean, obviously I sent a nice message to Data
Republican herself that this is fantastic, and Elon has said
you're great, and Charlie Kirkis said you're great, and a
lot of Twitter fhows. What kind of feedback are you
getting in terms of hate or pushback or criticism.
Speaker 3 (29:57):
And what is that criticism, Well, the biggest criticism is
that we're causing.
Speaker 1 (30:03):
People to lose jobs. Right.
Speaker 3 (30:06):
You know a lot of these a lot of this
money was propping up, you know, these businesses that you know,
even like popping up media companies, you know, political was
taking that's going to get blows my mind. And most
how much money political not political, but media companies were
getting like political, like why are they getting these huge
subscription numbers? And so one of the one of the criticisms,
oh you're costing jobs. Well I'm sorry, but when the
(30:29):
government decided to shut the country down for COVID, I
lost my job, you know what I mean, Like nobody
cried about it. Then it's just part of how it works.
If it's if it's not an effective part of government,
it's got to go. And I know that sucks for
the family, and I know that sucks for the person
that's that's there and working. But this isn't a charity.
Our government is not a charity, and we got to
get away from that mindset. It needs to be efficient,
(30:50):
and it needs to serve the people, and it needs
to steward our money well or will stop trusting him
with it? You know, that the government needs to fear
the people again, and they don't. They just they just
pillage and pillage and pillage with no end in sight.
And you know, I hope we can keep moving that
ball forward.
Speaker 1 (31:11):
Sean.
Speaker 4 (31:11):
I'm so impressed with you, guys. There's so much talent
in this country. There's so much incredible talent on the
sidelines in this country that we if we call it
to bear.
Speaker 2 (31:23):
You know, you see these nations that rise.
Speaker 4 (31:26):
Up and fight off an imperialist country, or fight off
their enemy, and everyone pitches in, you know, the World
War two, Rosie the Riveter. I see this mindset of
people like you. You know, you get your background, mister beast.
Who would have guessed I mean, and I don't know
data Republicans background, but obviously she's brilliant. I see these people,
everybody kind of pitching in in a sort of altruistic
(31:47):
way that says, hey, let's fix our country, guys.
Speaker 1 (31:50):
And I got it.
Speaker 2 (31:50):
I mean, it's a.
Speaker 4 (31:51):
Little corny and a little hokey maybe that I feel
this way, but it really inspires me.
Speaker 2 (31:56):
It does. And by that I mean to say thank
you for the great work you're doing.
Speaker 1 (32:02):
Absolutely, I I think like a lot of people.
Speaker 3 (32:06):
I just wanted to be left alone, and we realized
after the Hurricane Helene storm that we had to step
back in.
Speaker 1 (32:12):
The people who want to be left loan have to
enter the chat.
Speaker 3 (32:15):
And you know, even I knew that being political is
a risk, and I even told my family, Look, I'd
rather lose my job than lose my country. And so
you know, about four months ago I became political in
the sense of getting active and making sure that our
government's doing what it's supposed to be doing. And that
shouldn't be that shouldn't be controversial. We should all be active.
We should be going to our local city council meeting.
(32:37):
See what these people are doing, hold them accountable. And
that's the big thing with Data Republican is we're giving
people a tool.
Speaker 1 (32:41):
To see that.
Speaker 3 (32:42):
But you need to go on your local level, hold
your local politicians accountable, hold your state accountable. They're all
wasting your money without a doubt, you know, go look
at the things or spending. Go to the budget meeting,
ask for compy of the budget and throw it into AI,
take it, cut, paste it into gross and have it
break down what they're spending. Your city barged on and
make sure it makes sense. And if it doesn't, make
(33:05):
it known, it takes everyone being involved. The reason we
got too we're at is because we all turned our
heads and just focused on us and said, I'm sure
they've got it, and we turned around a decade later
I'm like, oh my god, I think they.
Speaker 1 (33:17):
Don't got it.
Speaker 2 (33:17):
They've been self feeling. John Hendricks, you are awesome.
Speaker 1 (33:20):
Will be in touch.
Speaker 2 (33:21):
Keep up the great work, my man.
Speaker 1 (33:24):
Thank you so much, ELSNS looking, thank you, and good
night