Investing • Instincts • Observations: Energetic Investing, Graphene, AI, Crypto with Kevin Bambrough - Silver Disobedience® Perception Dynamics™ with Dian Griesel: How People Think, Lead & Create Success

Episode Transcript
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(00:01):
Hello everybody, so I have a question for you.
What do gut instinct, consciousness, graphene,
mitochondria and investing have in common?
Well, two months ago I would have said a lot of nothing, but

(00:22):
then I read The Energetic Investor and a few other things
by Kevin Bam Bro and he is goingto tell us more about all of
this. Thank you Kevin.
I have really been looking forward to this.
Well, thanks very much. That's a great introduction.
It's a pleasure to be here, Diane.
It's a lot of fun, so. Where do we begin, Kevin?

(00:45):
Because you let's start with energetic investing.
Where did you come up with the idea that maybe to invest you
need to be a little more energized?
Because people think of Wall Street as a pretty hyped up
place, but hype doesn't necessarily mean energized.
Well, it's as you know from reading the book, it's a long
story, but a very important one because I actually started

(01:07):
investing because I was in the tech sector and I felt the
energyofthe.com bubble as it waspercolating and and then it
exploding and all these stocks come up and everybody was so
hyped and excited. And I realized even back then
that I had been wired. My own father had sort of raised

(01:28):
me with my programming of my body.
Was that to be skeptical, to be very skeptical of getting ripped
off. And the sort of, he always
referred to stockbrokers as usedstock salesman.
And, you know, the idea that there's a lot of BS.
And in Canada we had, you know, the classic pump and dumps on
the Vancouver Stock Exchange. And my dad sort of was, you

(01:51):
know, and my grandfather's always, you know, don't, you
know, don't spend on credit. You buy what you put for it.
You work. And, you know, we came from the
construction industry and sort of salted the earth people.
And I ended up, this was after my father had passed in the late
90s when I was working in the computer sector.
And I ended up starting to really do analysis because I was

(02:12):
so curious about what was going to happen with the.com bubble
because not for the stocks, but because it affected my career.
And I was wondering like, is it going to be really tough to
sell? You know, I was rolling out and
building networks and I'm like, is there going to be this big
post Y2K? Everyone had upgraded their
computers. Is there going to be this glut?
Is the, is the NASDAQ going to collapse?
And I made that prediction correctly.

(02:35):
And I realized at the time, though, that there's like a herd
behavior to the markets and a herd behavior to people.
And so we get attracted. You know, it's like the fear of
missing out. You know, if, if somebody gets
spooked in a herd, they run fromthings, you know, the world
runs. And when you study the history
of manias, panics, crashes and market bubbles, you realize that

(02:59):
there was these, you know, this,this mass delusion occurs
amongst people and they all believe something so strongly
becomes called like, and then you get these crazy valuations.
And then all of a sudden as it falls apart, you know, what's
the saying? You know, stocks go up like
escalators come down like elevators, you know?
Or Led Zeppelins. And so you have to prepare for

(03:20):
that, yeah, or they just explode, right?
And, and then all that ties in. And I ended up realizing, as I
was explaining to people, I ended up going transition from
computers to investing in commodities 'cause I was
correctly predicting that the commodity sector was gonna be
the next thing to boom post Y2K.And I ended up at a hedge fund
and I was shorting things, you know, shorting what I thought

(03:42):
would go down, shorting things that I thought were in bubbles
and buying things that I thoughtwere gonna go up.
And I had great success and ended up retiring at in 2013 and
over the. Years.
I admire that because I have. I always think I'd be a great
short investor, but I'm not sureI would ever have had the
stomach for it. It's it's definitely a stomach

(04:03):
thing and it's very stressful and it's something I do very
rarely and very selectively now and I always preferred to be you
know, it's it's got to be large cap like extreme like mega cap
or indexes, right? And a lot of times it's, it's a
lot of times it's because it's tied to my longs.
And I feel like there's like, you know, I've had a great run

(04:23):
in what I like, but I don't necessarily want to sell it,
especially if you have, if I you're a small cap investor like
myself, you don't get liquidity easily.
And if you want to buy 5 or 10% of a company, when, when I was
working at this hedge fund, we were running billions of
dollars, we would routinely own 10 to 20% of companies.
You can't just sell in and out easily.
So. Especially in tall cap.

(04:45):
So you hedge with major indices,realize that yeah, everything's
had a big run and there's correlations here.
I think this is the most overvalued things in the market.
And yes, you know, it's just like today when the NASDAQ goes
down, when crypto, you know, crypto crashes at the same time
when there's when people start losing money on mass in big
indices, they start selling everything that they have

(05:07):
profits in. What do?
You think's going on right now the correlation between this,
the stock market and these highs, all the pharma up versus
biotech crushed, you know, in a lot of ways.
Then you have AI companies all over the place, crypto up and

(05:28):
down. What do you think's going on
there? Well, AAII mean there was an
article out today talking about analog computing and it's
something that was worked on years ago by Bell Labs, the Bell
Labs organization. And it was it was dropped and we
went to solid-state. You know, the digit like what we
know now is like these GP us in this whole area.

(05:49):
And they were saying that with analog computing that
potentially is going to get invested in advanced right now
you might use 1000 times less energy, like A1 thousandths of
the energy. And it could be better for AI.
And there's also a couple monthsago there was articles about
DeepSeek and I wrote an article about this and advanced

(06:12):
algorithms really improving the performance of the AI engines,
which would result in less computing power, less energy
needs. It's, it's huge and, and, and
quicker processing. And so I look at AI right now
and I believe I don't know whichit's going to be, whether it's
going to be changes in computer chips and movements to quantum

(06:32):
computing or analog like quantumcomputing, 11 thousandths of the
electricity again and faster speeds.
So what's going to likely happenis it's the same thing that
happened in the year 2000 where we had it made this massive
investment in fiber optics. And, you know, all these
companies like Lucent and, you know, Nortel and, you know, and

(06:53):
then Cisco and all these companies were high Flyers and
everyone was like, this is the future.
Yeah, the internet's the future.But we've over invested in
hardware, you know, to send dataon the Internet.
And we've put that all this fiber optic cable.
And over the following two years, algorithms came out that
allowed for compression and we are able to compress our data

(07:15):
down by like to 1%. You could send like a file
that's 1% of a file size from two years ago, send the same
stuff and it would only take 1% of the bandwidth.
So it's like creating 100 times algorithms, like it's like
creating 100 times more fiber optic capacity.
It then crashed the, the, the fiber optic pricing.
People said they, it's, there's a glut, right?

(07:36):
Because of algorithms. And all of a sudden we didn't
need faster, you know, and it happened both ways.
It was algorithms plus better use of the spectrum of light
when sending signals through thefiber optic cable.
So the hardware advanced and thealgorithms advanced and all of a
sudden there's a glut of fiber optic cable and the prices

(07:57):
collapsed. And then, you know, and that
massive, you know, everything onthe NASDAQ went down 95%.
There was a glut of everything tech.
And I see the same thing happening again.
This huge investments, everybody's like, you know, oh,
we're going to invest in you andthen you buy our stuff.
Like Nvidia's investing all thismoney in these companies and
then so that they have the moneyto then go buy, pay the chips.

(08:18):
It's it's it's I look at it likea Ponzi.
Yeah, and it's just. That's how I'm seeing things
now. It's crazy and I've lived
through enough of them as as youhave, if you've, if you know,
we, I've been in the micro and small cap and small cap market
since 1996 was when I first started to get involved with an
owning an investor relations firm for years specializing in

(08:39):
small cap. I mean, you watch these ups and
downs, you watch where the moneyshifts and goes and it's just,
it's a whirlwind. Oh, totally.
And you know, you don't get richowning a basket of the seven,
OK, like the biggest companies in the world aren't going to be
the ones that that multi bag from here, right?
It's got it. You have to dig, do the work and

(09:00):
dig down. And what, what I getting back to
the original question, what I learned when I described to
people what I did, how I had success over the years is for
me, you know, when you go to a club or a concert and your hair
stands on end, like that's such a good song.
I get the same kind of feeling is because I, we, we are
biological supercomputers as what humans are, right?

(09:22):
We're, we're cell based biological supercomputers that
are obsessed with pattern recognition.
And so when you train yourself on patterns of what takes a
micro cap stock to become a megacap and you then you're looking
for these patterns. Does it have, you know, these
certain characteristics, right, which we can get into?

(09:44):
But you, you look at those characteristics and you train on
it. When you start to see one,
you're just like you, you, you get sucked in on it, right?
It's like, that is amazing. I'm excited.
The dopamine fires, the norepinephrine fires and you're
focused and you go, I go into the flow state just like a cat
going after a mouse. And I'm like, I'm excited.

(10:04):
And for me, it's I, I tell people it's like hearing a song
on the radio or being in a club and everybody's like, they hear
it for the first time and everyone's up dancing.
You're like, that's going to be a hit.
I don't know if it'll be #1 but it's going to top 10 for sure.
And every now and then you're like, yeah, that's probably
going to be a number one hit because you could just tell by
the energy of the crowd. And everyone's up jumping.

(10:25):
And that is a. Great visual.
That's a great visual and analogy to compare that instant
reaction. Do you tie that into hyper
instinct? Yeah, it's that's.
Since you write also about consciousness and I mean I think
there's like there's instance we're picking up on constantly.

(10:48):
Yeah, well, we, it's that pattern recognition system that
we have that if we go to this place, right, we go in this
direction, it's going to lead togood things, right?
And this is going to be, oh, look, everybody likes this.
I like it. I could feel it.
This is going to be big, right? And then you get excited.
Now, obviously you can get FOMO and it works against you.
So you have to train yourself toknow whether the feeling of the

(11:10):
excitement of the crowd is sustainable or not, because
there's you have to do the real work that under, you know, that
makes sense. And that's part of the energetic
investment is talking about thatprinciple that I wrote about.
It's the energy. The energy, What did I call it
again, the energy principle of investing.
But it's like. Well, it's important because as

(11:31):
you said, since you made the analogy of going to a nightclub,
there's a song comes on, you never heard it, but the crowd is
like, Oh my God, this is incredible.
There's a point in every nightclub where you should go
home or other the rice trouble starts.
And it's the same kind of thing with an investment like tuning
into whoa, when is this oversold, You know, overbought,
you know, when should we get outof here or oversold, depending

(11:54):
on, you know, which side of the market you're on.
But there's always that point. Yeah, for sure.
That's one of the keys is, you know, and I have to tell people
this analogy is I always enjoy, especially when I've been
traveling on my own, is, you know, I would wander into a club
or a bar early and I sit down, Istart talking to the bartender,

(12:15):
regulars arrive, you get to meetpeople, you get introduced.
And if you start early and leaveearly, you have a great night
where you've met all these interesting people.
You know, I'm shooting pool withthis guy.
I know that my friends might show up later and be like, how
do you know everybody in here? And it's because you came early
and you get to get the lay of the land and you know what's
going on. And then you start seeing, oh,

(12:36):
everyone's pretty intoxicated. This place is a mess.
Looks like that guy that I've had, you know, suspect, you
know, it looks like I'm a fight might break out soon.
I'm going to get the hell out ofhere, you know?
Yeah, it's a real, it's a reallygood visual and comparison to
investing and that, you know, the Greenspan irrational

(12:59):
exuberance that seems to go on as the party continues.
And, and crypto is a classic Ponzi scheme that people are
still obsessed with it today. But you got to understand the
meme coins are garbage. They're absolutely nothing.
Anyone create them, just make upa name, create a coin and get a
bunch of people to play and you've got a new coin and call

(13:20):
it whatever you want. And then the Bitcoin is, again,
it's a giant Ponzi scheme. And I equate I got a great
analogy for Bitcoin. OK, so say you wanted to dig a
pool, right? You know what you need to do?
You need to hire someone first to dig a big hole.
Well, Bitcoin is like somebody'sgone out and they've dug holes

(13:40):
and they dig a cubic foot hole. And then they take a picture and
then they fill in the hole. And then they've got a whole
bunch of these pictures of digital pictures that they say,
look at this, this is original. I've dug this hole once, right?
And it can only be done once. And here's this picture of a
hole. And I and you, how many cubic
feet you need to dig, like, you know, a 5000 cubic feet pool or

(14:04):
something. Well, I'll buy 5000 of these
pictures of holes. And then you could use them as
money to pay someone else to digyour pool because that's what
bitcoins do. They, they use energy, perfectly
good energy. They invest it in a computer to
to to calculate the it's basically an Bitcoin's like a

(14:28):
giant algorithm where you have to solve for a coin and show an
equation that earns you the right to have a big long series
of digits. That's all you get.
That's all Bitcoin is, is a series of digits.
And you could create a parallel system and they have the Bitcoin
and give it a different name, right?

(14:48):
There's several of them out there.
And yeah, people could go and mind it.
And the first coins are easy to mind and don't take a lot of
energy. And it progressively requires
more and more energy waste and it's gone forever.
Like, so I look at it like, why should we reward as a society?
Some people are going to go waste energy and end up with
nothing but digits that are completely useless and say, look

(15:10):
what I've made. And I'm like, slow clap, right?
That's even too fast. No, Now hold down.
I want to ask you a question. Since you're a smart guy and
you're science oriented guy as well as mathematics and
everything else energy, Einsteinwould say energy just changes
its format. And you said it's it's it's a,
you know, a draw of energy into nothing.

(15:33):
Well, what would you say to that?
Well, the energy has been consumed by the computer and
that's why they have like, you know, if you look at data
centers that do Bitcoin mining, computers generate heat, right?
You had to invest money in the 1st place like energy to make
the computer. So that energy stored, like some
of it's stored in the computer because you've made it.

(15:55):
And then when you fire up the computer and you're doing all
these calculations to produce a Bitcoin, it's using it, it's
consuming energy and it's releasing it as heat.
And then you're running an air conditioning unit in the, you
know, computer lab to cool it. You know, the building took
energy to make, you know, all these things.

(16:16):
It's just energy gets transformed along the way.
But what you end up with is somedigits.
You're not getting that energy back.
And whereas if you, you know, like early, early humans, we
learned it takes energy to go cut down a tree, make a
windmill, put it up, and oh wow,that's worth our time because I.

(16:36):
Have an end product. The wind now, we're now
harnessing wind and it's pumpingwater out of the ground for us,
or oil or milling flour. And we, we know in intuitively
that the energy it took us to build that unit, right, that
windmill or whatever it is we built, it's, it's paying back
for us. It's saving US energy compared

(16:58):
to, you know, pounding flour, right?
So, so question for you. We're obviously not offering
investment advice. So let me just clarify with
that. We're we're not doing that.
But what would be your prediction if you are making a
wild prediction of where Bitcoinis five years from now?
And maybe we don't even have to go out five years.

(17:18):
Yeah, well, it's the, the, the most difficult thing in bubbles
is predicting when there's goingto be that aha moment where
everything, wherever people wakeup and, and decide to not play
the, the, you know, to stop withthe delusion.
And I actually created I, I, I've been trying to get around
to writing an article where I did this huge map of the

(17:40):
ecosystem of crypto and you've got about 3 1/2 trillion dollars
of imaginary wealth, like everyone on their, you know,
whether it's crypto.com or crack.
And they're like, look what I'm worth, right, right.
And it's, it adds up to like 3 1/2 trillion today, you know, or
maybe maybe more, even 4. I think it it, we'd lost a
trillion last week, right? With that big drop, close to a

(18:02):
trillion from top to bottom, it's probably back to 4
trillion. But how many actual dollars are
in that system, right? And it's probably, maybe it's
hard to guess, but maybe only like 40 billion, maybe 100
billion of actual dollars. So if you're just a small
percentage of the people that have all this imaginary will

(18:23):
start saying to their exchanges,I want to sell my Bitcoin, I'm
going to move to USDT or USDC orwhatever one of these, you know,
the tethers. And then I want to cash out and
I want to get cash out. There's not going to be the
cash. It'll be a classic run on the
bank. And that's what happened in
every one of those 80% drawdowns.
And at that point, people stop selling Bitcoin because it's

(18:46):
down 80%. They're like, oh, there's no
point selling now I'm going to hold.
And the new money comes in for awhile and then you bounce.
And that's why it, it has such dramatic runs.
And that's going to happen again.
It's going to keep happening. And I think at some point
everyone will realize the system's broken.
There's real value in crypto stable coins for certain
industries. You can tokenize things and use

(19:07):
it to trade. But that means that the coins
are actually backed by somethingreal, right?
Not, not ones that just are given a funny name and they
represent nothing. And like, we're just going to
trade these and pretend we're all rich.
It's it's, it's a complete joke and they're just trying to
convince, they're trying to convince new people all the time
to send money to that ecosystem because they have real world

(19:29):
bills. And that's one of the big map
that I drew. You got to pay the staff, you
got to pay electricity, you got to rent building space or own
offices. And they don't want to get paid
in Bitcoin, they want the cash that buys their groceries.
Yeah, and they got to, they got to buy a house or they want to
buy a car or they want to do whatever.
There's all these areas where money is flowing out of the

(19:50):
ecosystem on a sustained basis, like their advertising to
mainstream media, you know, eventhecrypto.com Stadium, you know,
it's just money flowing out and real dollars need to get paid.
Do you think the dollar will? Cripple the system at some point
and implode it when it's. Just it's just the dollar.
It's overvalued. The dollar will stay as the
world currency. No, I think it's already lost it

(20:14):
to a certain extent. I think we're already into a
basket approach. I mean, if you look at the
amount of I think just recently,China is now trading more goods
with in, in their own currency than they are with U.S. dollars.
It just kind of went above 50% Ithink recently.
And they're on the way to say toother nations, if you want to
trade with us, you got to trade with our currency.

(20:35):
And that'll cause more stock. And, and really in my mind,
stockpiling another nation's currency is stupid.
I don't care who you are. But again, you're, why would I
stockpile currency? Because they could just create
it out of nowhere. And if you're like I, I always

(20:56):
like, I, I've actually been to China and I met with CITIC
securities and Citibank and, and, and some of the biggest,
these are like the biggest banksthat in China.
This is the Chinese government'sfinancial arm.
And I met years ago, I met with NPS, the National Pension
Service of Korea, which was at the time the third largest
pension fund in the world. And you know, I talked to

(21:17):
myself, you know, I think it's amazing the crazy I go, I try
and understand this. You guys make all this stuff and
you load it on boats and you send it over to the US And in
exchange you get digits of it's like they don't get actual
physical bonds anymore. They're just stockpiling
treasuries. And I'd say, you know, they're

(21:38):
just going to print it. They're not going to pay you
back with real goods. They're just going to go, here
you go. We've created some money and
we're paying off those treasury bills.
We'll buy them back with freshlycreated cash.
And, and I said this pre quantitative easing and I was
like, I predicted quantitative easing in the early 2000s
without calling it quantitative easing.

(21:59):
It's called quantitative easing because they don't want to say
what it really is, which is they're printing their debt
away. They're paying their debts by
just saying I've created money. There you go.
It's, it's, and it's, there's even more depth to the
ridiculousness of this system. When I one of the things I've

(22:21):
talked about on other podcasts is, is the, the pension funds,
right? Like the US pension funds, the
US people save money. They pay their taxes, the money
goes to the government and then they use the government takes
your money and it part of what'sbeing held in the pension fund
is US bonds. So that means that they didn't

(22:44):
save the money. You're not saving any money
because when the pension fund buys government debt, it means
that the government has spent the money already.
Your pension money got spent on whatever the government bills
were this month when they're buying Treasury bills and
that's. A very that's a very interesting
breakdown of the process. And then, so and then your taxes

(23:08):
now increased because you've gotto pay an interest burden.
So now you're paying taxes to yourself on money you saved that
went into your pension fund. Like it's crazy.
It's it's, it's that's one of the things I've always done is
because I'm not formally trained.
Like I dropped out of university, as you know from my
book, I didn't finish universityand I went into computers after

(23:29):
my father passed and I studied the financial system on my own.
And it, I always just try to break it down and go, wait a
second, forget the fancy words. Let's look at the moving parts,
like what is actually happening here.
And that's what I do with crypto.
And I'm like, this makes people always like, I don't get crypto.
And I'm like, yeah, no, you do. Because it's insane.

(23:51):
Stupid, right? Damn.
Every time I talk to someone, it's exactly what I say.
I say, you know what? I'm a relatively, you know, I
think I, I can hold my own in most conversations when I have
had countless conversations and I still walk away saying what?

(24:12):
No, I. Can only say the emperor has no
clothes. Yeah, but but they'll just point
to the fact, well, it's gone up and look how much money I've
made. And I'm right, you're wrong.
So shut up, right. And I mean, it's ridiculous.
It's it's ridiculous. But their whole, their whole
wiring and their whole premise is they've fallen in love with
the vision they have that if they earn these coins, it's

(24:36):
going to go, oh, it's going to go, this is, this is my little
precious, you know, it's like the Lord of the rings, you know,
oh, my precious little Bitcoin, this is what's going to give me
my retirement. And I just have to believe and
convince other. And if everyone believes this
bitcoins going to a million and I'm going to be rich and I'm
like, well, why do you deserve that?

(24:57):
Because what you've done, you group of people, all you've done
is waste electricity and you're not solving any real freaking
problems. You're like, stop pretending you
are. That's such a good point.
It's very, it's very interestingwhen you walk around and you say
how many businesses there are that took or created nothing yet

(25:22):
exist. Now at some point, go ahead.
And then I want to get to graphene because at some point
you shifted over to commodities and you know, you said you
started in commodities, you looked at commodities.
So I really want to talk about that because that's an
interesting whole other area. Yeah, for sure.
Well, you know, the, the when you look at things like

(25:44):
commodities, it's a great example of, of the intrinsic
energy principle of investing, which is the, the, the phrase I
coined in the book because you're like, let's just take oil
and gas. You're saying I'm going to use
so much energy to make drill pipe to make drills.
I'm going to drill into the ground.
I'm going to produce oil or gas and I'm going to be able to sell

(26:07):
that because if for more in, in,in, I'll be able to make a
margin and a significant margin.Like in the early days of oil
and gas, you'd get like depending on the well, like
20-30 even like in Saudi Arabia,like 70 times the payback
because they would find oil literally like bubbling out of
the ground, right? Back in the old days, it was
all, most of the biggest oil discoveries in the world were

(26:27):
made with the human eye, right? The biggest ones because there's
literally that much oil and was bubbling out of the ground.
And so it's very cheap, low energy to extract.
You pull it out and then you'll have this huge amount of, so
it's a big payback, right? The energy you put in to get
that energy out of the ground has massive payback.
And so that's a big return. And then you start looking at,

(26:49):
so there's there's the commodityworld where you look at the
cost, the energy that goes in and the commodities that come
out. And is there a margin, right?
We want something like copper. Well, if the copper price goes
up huge, anybody, every crappy copper deposit in the world is
it becomes economic and people will start investing energy to

(27:11):
produce that copper from that mine.
But if it's low grade and it's in a remote place, it takes a
lot of energy, right? If you're talking about a
deposit that's like, you know, half a percent copper versus 2%
copper in the ground, you know, way more energy.
And so when the price falls, theguys with the low grade go
bankrupt and and that's what sort of sets the price in Indy

(27:34):
commodity. We're looking to balance supply
and demand and we're looking forduring highs cap X like the the
money that has to go into a mineneeds to be paid for.
So there has to be a return on the operating costs, which is
all. And you could break it all down
to energy, right. How much does it cost to mine,

(27:56):
refine, produce, ship, It's all energy related.
That's the operating basis. And then there's the discovery
and build, the actual mine. And that means that when there's
a shortage, the price goes up huge.
And then when there's an oversupply, the price starts
dropping and it typically drops back to operating costs like for
some producers, and then they shut down.

(28:17):
Some of the highest cost guys will shut down during the lows
of the market. And that's when I like to buy.
And I figured out that's the pattern.
Buy when you see depression, minds have shut down.
Nobody's paying for exploration anymore.
Nobody's valuing these properties.
And so you buy in and you wait and it might be 5 years, it
might be 10, but it's worth waiting because these things go

(28:39):
up by 10. And sometimes I get 100 times my
money return on very good deposits that I buy at the right
time. And then that sector goes crazy
and people overpay for it every time, right?
And so that's that's that's a cycle in commodities.
And so where does? Graphene fit into this.
Well, graphene is a very, very unique story because graphene

(29:03):
was first discovered in like 2004 and it was discovered by a
scientist in the UK who was basically taking a piece of
graphite, right and tapping it with some Scotch tape on his
fingers. And it was called the Scotch
tape test or her and getting a particle.
Graphite like thin in a pencil. Yeah, OK.

(29:24):
Literally, you mine it out of the ground.
And graphite's really just compressed carbon, right?
Coal is carbon as well. And if you press coal long
enough, it goes clear. It becomes diamond.
Jars are. So are we.
So is meatloaf. Everything's carbon, right?
Carbon is in everything, right? And and like there's carbon on
your BBQ, carbon in your chimney, the soot, right?

(29:46):
But it's got a lot of impuritiesin it, right?
And the same thing with the graphite in the ground.
It's got a lot of impurities in it, but it's, it takes like, I
can't remember the heat and the pressure and the time, but it's
significant. And you know, we're talking like
millions of years. That's what makes the graphite
in the ground the same thing as coal, right?
Coal was old biomass getting pressed, right?

(30:06):
Like ancient sea beds or fields where the grass just kept and it
gets packed in pressure time. And then you pull it out of the
ground and now you can burn it and it's got a lot of energy in
it. That's coal, right?
Not graphite. Graphite's a different type of
carbon and there's a lot of impurities in anyway.
When he took those, did the little sampling and then started

(30:28):
looking at it in a microscope atthe carbon under like a very
intense electron microscope, He started looking at the these
carbon atoms that were very, they're almost like snowflakes,
but they're in a hexagonal shapeand they stick together in a 2D
plane. And they call it like a lot like
a, it's called like a lattice. And you can think of it like a

(30:48):
chain link fence. I like to use a chain link fence
analogy. And when carbon molecules are on
a 2D plane and stuck together, they become super strong.
And it's like you get these crazy wonder materials where
they say, if you could get a whole bunch of them and stick
them all together and you get this, it would be, you could
make a hammock that's invisible that could hold a cat, right?
The weight of a cat. If you, you, you could do super

(31:11):
computing with it. It's quantum mechanics, quantum
entanglement, quantum computing,all this stuff.
Weird things happen at the atomic level.
We don't quite understand it. It could be a superconductor.
You can make it. It's like stronger than steel,
harder than a diamond, you know,all these crazy properties.
And we're just figuring this outnow, but it's been 20 years in
the process. And at first, because it was

(31:34):
discovered with graphite, immediately companies started
going around the world, especially all the promoting
mining companies, like the mining promoters out of Canada,
we're all about let's go around the world and we're going to
mine graphite and make graphene,right?
Because it's going to be this super material that goes into
everything. And when you actually go through

(31:54):
that process of mining graphite and you got to crush it and
pound it and use all this energyeven at best in chemicals and
treated. And they're like zapping it with
lasers and this plasma, you know, they doing all these
different things to try to get to just these particles.
Because a graphite deposit mightonly be 10% graphene or less,
right? Very low, actually, way less

(32:15):
than that. Anyway.
You're trying to get just these separate and get these little
perfect particles. And so a lot of the companies
that tried to do this ended up making what they call graphene,
but it was really a high percentage of graphite powder
with graphene and it's very inconsistent batch to batch.
It's hard to work with. And they, the, the companies

(32:37):
that have tried to work with it had difficulty achieving the
results and, and doing the wonder materials, which we're
going to get into now what hydrograph figured out, which is
the company that I started analyzing them in the landscape
I'm looking at, well, who is going to solve this problem,
right? And not only is there the
problem of quality and, and consistency, but there's cost

(33:00):
and the environmental issues. And at first everyone thought
you'd need to have these two D it's can only be 2D.
It's got to be the single layers, then you're going to
work with that. And because there's not a lot of
understanding of what could, what you could do with these
atomic particles in small sizes as they cluster together, right.
And in the carbon. And So what ended up happening

(33:23):
is hydrograph, they have a scientist named Doctor Sorensen,
who's, you know, he's won every single award a professor can win
out of the University of Kansas in the middle of nowhere like
Manhattan, KS. So literally it's like the
middle of the USA small town. I went and visited recently and
met him. The man's a genius and he's won,
like I said, every award that could be won.

(33:44):
And he just is a simple guy who just wants to do science.
He doesn't care about money. He didn't care about it.
He just wants to do discovery and have his lab and invent
things. And so he started working with
exploding things in a chamber and you know, basically like
creating things with a it's likecombustion synthesis.
You know how like you know, you spark when you spark fuel in

(34:05):
your car, it moves the pistol, right?
And then you're and then outcomes exhaust out of your
car, right? Well, when you take Acetylene
was one of the experiments he wanted to do.
Acetylene is made from natural gas.
So there's it's abundant in the USA.
You can make piles of Acetylene no problem with all the natural
gas we have and Acetylene is C2H2, meaning it's 2 carbon

(34:31):
atoms, 2 hydrogen and you put that in and just think of it.
I like to joke that it's like a scuba tank with a spark plug if.
You. Fill it.
If you fill that tank with Acetylene and oxygen, 3 parts
Acetylene to one part oxygen andthen spark it, it's it's.

(34:52):
They call it an exothermic reaction I believe, and because.
Because you've got carbon, hydrogen and oxygen.
Yeah. And if you think about in shop
class, for those viewers that maybe were in shop class, or if
you've ever seen someone with anAcetylene torch, they turn on
the Acetylene first and they light it and it smokes black,
black soot rises in the air off it.

(35:14):
Then they turn on the oxygen andgo.
Yeah, it comes right out. Right.
So they had to play around to figure out the exact ratio and a
lot of these things are protected with their patents and
trade secrets. So what they did, so you know,
in the sparking process, the wayto do this at scale is what they
figured out now with a thing called the Hyperion chamber.
And so when they do this and they spark it and I've seen the

(35:36):
thing operate, it's fantastic. And they opened up the even the
test chamber to show me so I could actually see the graphite.
And you scoop this stuff up the whole thing because So what?
What happens is because there's no moving parts, you.
So wait a second, when you put the the.
Oxygen. Oxygen and hydrogen together it

(35:57):
creates graphite. Yeah, I'll get to that.
So they spark it. OK, when when they spark it,
it's like an explosion. But I like to call it like
combustion because people think like, oh, it's an explosion.
It's as dangerous as the no, it's not like you have an
explosion in your car 66000 RPMSor it's 6000 explosions per

(36:20):
minute in a car. And you think about the pressure
in a car, right? You got your, you know, for
turbocharges, I think it goes like 2000 PSI or something,
right. And then your temperature of
your, your temperature of your car quickly runs up to like 100
and 8200 plus degrees, you know,and you have coolant in the
engine to keep the engine cool. Well, hydrogen hydrographs

(36:43):
machine, this Hyperion machine that they've invented and
patented, you know, it's, it's doing like a like 4 to 5 cycles
per second. It fills the chambers with a set
lane. It sparks and because it can't
move right, there's nothing to move.
What happens is, is in a matter of milliseconds, like probably
10 to 15 milliseconds, the sparkjust, and I, they even don't

(37:07):
even tell you exactly about whatthey figured out with the spark
system. It's all patented and some of
it's trade secret because they don't want people to know all
this stuff. They've been working on us for
10 years, right? Anyway, they create a, they
create a, a spark, right? So the thing you know, it's,
there's this burst of explosion inside, but it is nowhere to go.
Some kind of? Combustion, it's like a

(37:27):
shockwave because it can't expand, right?
It can't it it wants to do work.That's what happens when you
spark, when you spark your gas. Like within a piston kind of
concept. It does work.
It expands, yeah. And so it does work moving the
car, and then it generates a bitof heat, right?

(37:49):
Well, when you spark it and you can't do work it, all of that
energy goes to heat. And in 10 to 15 milliseconds,
there's a spike to like 3000 plus degrees, and that's hot.
It's like a shockwave. Right, but.
It's quiet. It's amazing because I, I
watched the machine. It's just this little tiny pop

(38:09):
sound. You can barely hear it right on
a small scale on the big Hyperion chamber.
It's a, it's a pretty good pop, but I, I measured on my phone
like fairly low decibels, like not damaging to your ear or
anything, you know, And anyway, they, they then flush this, the
material out and I opened up thechamber or one of the chambers,
a test chamber and you can see it, it instantly feel fills it's

(38:33):
full because it, what it does. Is it the carbon?
Graphene or graphite? Well, you got to remember
graphene. I I don't like the name graphene
and I don't like the name like graphite.
Graphene. It's carbon.
Right, it's just the name. So carbon is what remains.
Yeah, carbon. OK.
So what happens is the hydrogen and the carbon got separated

(38:54):
during that little boom, a little shockwave.
It's just, and against me, the whole chamber is evenly filled
with super. It's like the Swordsen called it
Angel food cake, like a black, pure black Angel food cake.
And I and it starts falling, right?
Like when you open it up, it starts falling like you, like,

(39:15):
you know, like you've opened up the oven too early, you know,
and it's collapsing and you scoop it up and it's, it weighs
nothing. And it's the Super light fluffy
stuff and you touch it and it just disintegrates to nothing
and it but it's pure black. And another analogy I like to
use is. Wait a second, what do we want
this? For yeah, what purpose will it

(39:35):
serve? OK, so you know, all about the
critical minerals. Everyone's talking about
critical minerals now and the USgovernment and we need to, you
know, rare earths and it's goingto go into phones and magnets
and all this stuff. Well, graphene is going to prove
to be the most critical materialof all materials.
It's going to be they're equating this stuff to, you

(39:59):
know, the discovery of transistors that led to
computing. They're they're they're equating
it to like, it's literally like bigger than the Internet.
Some people are saying it's likethe the biggest thing since
discovering electricity. That's the.
Why? What will it be used for?
Why is it the biggest thing? What are the properties that can
be made into something? I keep teething.

(40:19):
I know you do. I know anyway, so I'll give a
couple practical examples and I'll go through a list, right.
You take 4 grams of it, less than a dollar's worth and put it
into a lead acid battery, right?They, they have to functionalize
it and do a couple things and then they pour it into the mix.
When you're making your battery,you know, lead acid battery and

(40:43):
it creates it allows 47% quickercharge time in and out.
So that means that means you're not generating or is this
science? It's already already just to
work independent university labs.
And some of it's with some of the work that the stuff I'm

(41:03):
talking about will be done by university labs.
Others have been done. Other work has been done by
companies doing testing to make because they want to make the
new battery right, want to make recyclable batteries that last
longer, charge quicker. And is it lighter since you said
this is a very? Light.
Well, you'll be able to do so yeah.
It makes things stronger, lighter, scratch resistant, UV

(41:25):
resistant, better electricity, conductor or you could use it as
an insulator. It's so it's so interesting what
you could do with this stuff. You won't believe if I go down
the list, but. Well, I'm curious because when
you first mentioned graphene, itbrought me back to like, this is
really going way back, back intothe late 70s when the first

(41:45):
graphite tennis rackets and racquetball rackets were
introduced. And, you know, everyone was
talking about the flexibility ofit, the lightness, the this, the
that, and then it became a wholenew industry.
So when we were talking about, you know, this, it really was
like, I want to explore where this is going now, 40 years
later. So you could use graphene is

(42:05):
better than graphite, right? So would you put graphene if you
you could make a hockey stick ora racket that won't break.
The guy will. You know what?
They get angry and they beat it on the ground.
It won't break anymore if they made it out of graphene.
What's the difference between graphite and graphene?
Well graphite is just it's, it'slike it's carbon, often with

(42:29):
impurities in it. But this is where I go to the
snowflake example. You could say snow is pure
water, but we know, right? And whatever they say in
Iceland, there's like they've got 100 different words for snow
or something like that. We know that if you go skiing
and you see the man made snow, it's very granular.
It used to be extremely granularand you pick it up and you're

(42:51):
like, you try to make a snowballand it falls apart.
And some snow days, right, the kids go out, they pick it up and
it's you go to make a snowball, you throw it, it falls apart.
It won't, it won't bond well. Hydrographs, graphene, real
graphene is like the best snow day ever, right?
The carbon is like this, right? And it's just opened up and it's

(43:14):
ready for business and it's wants to grab graphene as a as
an atom is like it's greedy, right?
It wants to grab and hold on to everything.
It's stuff, stuff inside itself and holds on to things.
It forms that lattice and it locks up and so you end up
having the most perfect snow that you can make a snowball and

(43:34):
roll it up and make a snowman super quick.
And then you could carve that, you know, it's like the perfect
snow day, but you're dealing with carbon.
Got it. When you start adding it into
something because it's a, it's because it's that lattice
electricity can move through it very well.
This it's it's a, it's a better conductor than copper.

(43:55):
And so hydrograph has patented and this is proven tested stuff.
They could do printing of ink with a with a machine will print
ink on circuit boards better than.
So it'll be like. You know you're Canadian.
Do you happen to, did you ever come across the stuff Tom
Azenbry worked on with Electroplast?

(44:17):
Because he was taking plastic and I think it was graphite at
the time, Plastic and graphite and merging them together and
conducting electricity, yeah. Yeah, you could do that with
graphite. You could do it with graphene,
right. But you could actually take the
graphene and if you put the right amount into the right mix

(44:40):
of polymers, right, like plastics, you could make it
bulletproof you. So you could end up with lighter
bulletproof plastic you could make.
So you think about all the things like, you know, that are
plastic that you leave outside, like plastic furniture or like
motor covers. They fade with the sun, right?

(45:01):
With if you add in a tiny bit, like we're talking less than 1%
by weight, graphene added to that, it'll last longer, be
stronger. You can make it thinner,
meaningless plastic required, and it won't UV fade.
How expensive is it well to bring this to all these
different potential uses? Well.
Like I was saying it depending on how you look at it,

(45:24):
hydrograph can make a lot, a lotof money selling it at what
looks to be expensive. But you got to remember it's so
little required. You're talking about when I say
4G going into a lead acid battery, like your car batteries
say 200 bucks, you put in 4G, which would be about a dollar's

(45:44):
worth. And then that battery now is
going to save energy every time your car starts up moving in and
out as you move electricity in and out.
And this is it'll work for electric vehicles and golf
carts. And everything means less heat,
right? Like you think about how
batteries get hot when you use them.
If the more efficient the battery is, the less heat.
You don't want to make a batterygo hot.

(46:05):
You want to get electricity in and out and spin the motor,
right? So the more efficient you make
it, the more energy you save. And then that means the less
heat, hot and cold makes batteries breakdown and wear
out. So now that dollar in your $200
battery is going to make it lastat least 50% longer, if not
double the life of it, right? So, and when you're using it,

(46:28):
you're saving all this energy. So it's I think I calculated
using AI, I tried to do some estimates and I was saying that
the like the value payback on that dollar invested in the
battery over the life of your car battery would pay back like
11,000 percent or something likethat.
Energy return on energy invested.
So who? Are the competitors in this

(46:48):
space? Who's who's trying to advance
this graphene? There's a lot of graphene
companies out there, but like I said, most of them are using
different processes like mining graphite.
And when you try to mine graphite and turn it into
graphene and there's other guys using what's it called, methane

(47:10):
gas and trying to crack it with plasma and with plasma lasers.
And it's like the energy that isrequired to do that.
It's like multiples of what hydrograph has.
Because what the other thing with hydrograph is not only do
you get the carbon, that pure, pure carbon, it's 99.8% pure.
And they're the only company in the world right now that can say

(47:33):
that they can produce this material that is 100%.
They call it SP2 hybridized. That's the snowflake effect.
OK, It's SP2 bonding. It's hybridized fractal graphene
aggregates. People need to read up and
understand what that means. It's 100% crystalline.
And I use another example. If you know when you go hiking

(47:55):
or you're in a farmer's field and you get burrs, you know the
bird. Yeah, but stick all over you.
And the same thing I could say you, there's companies out there
saying like, will we make graphene, it's 100% or near
nearly 95% carbon. Well, that's not good enough
because if you want to use graphene to say make an
important battery like a lithiumbattery enhanced with graphene.

(48:18):
So it's going to have this quickcharge in and out.
Well, we know what happens with batteries.
Sometimes they blow up, right? You know, and they don't let you
take them on airplanes and they're worried about it.
And it's, it's because the batteries as they wear and they
get flaws in them. And if you have graphite powder
just a little impurity, it meansthat lattice isn't going to
inform. And if you end up with clumps

(48:40):
inside your battery of powder graphite, right, or any
impurities, it's going, if it's not 100% SP 2 bonding and 100%
crystalline and completely dispersed, you're not going to
get that bonding, which will allow the battery to be safe and
last long and have all those properties.

(49:00):
You, you risk damage. And the same thing would happen
if you could make a, you can putit into Kevlar and you can make
nylon. Now imagine making the
bulletproof vest. They say you're going to be able
to make bulletproof vests way lighter and better.
But you, Dan, you can't have a risk of flaws.
You don't want that tennis racket to break.
It's not a big deal if you breaka tennis racket or a hockey

(49:21):
stick, but you don't want to have a coating on a plane, you
know, or carbon fiber. If you're going to enhance
carbon fiber with it, you don't want that to crack and break
because it's catastrophic, right?
OK. So everybody's going to have to
follow you and do a lot of research on that.
We only have like 10 minutes left, so I want to get to your
consciousness and mitochondria theories that I read over this

(49:43):
weekend. Sure.
Yeah, that's that's a real. A lot here, Kevin.
That's a real deep subject and it's.
We've only got 10 minutes for it.
Yeah, well, you know, it's, it'ssuch a complicated thing.
But what we need to understand is and we we look at our neurons
and we look at and I encourage people.
Obviously, I think my book's gold and the people that have

(50:04):
read it have given me a lot of great feedback and some of.
You have a lot of info in it, even we are talking.
About the best they ever read. Yeah.
Anyway, one of the things I talkabout is we don't really have
free will right at our subconscious level.

(50:25):
We've now determined our consciousness.
Things come from our subconscious into our conscious,
right? An instinct to drive a feeling,
right? And it's, it's our neurons
clustering and doing work. And one of the ways I like to
talk about what our cells do. And there's another term it's
funny, relates to graphene because it's a fractal and we
know that there's fractals everywhere in the world, right?

(50:47):
Like you look at the tree branches, right?
And then you look at the tree leaf, right?
And you'd look at how, you know,in nature, there's a lot of
things that it's what happens ina small scale, happens on a big
scale and it works its way up. And so if you think about human
interaction, when we have a whole bunch of people say you go
to a conference and it's early in the morning and people start

(51:10):
trickling into that conference and they cluster up with people
they know and they start talkingin groups.
That's like us waking up in the morning and neurons waking up
and starting to, oh, what day isit today?
Oh, I got to go to work and oh, you know, you know, and we, we
like to think we're in charge, but we're actually responding to
signals, amplitude and frequencyof signals being sent between

(51:33):
clusters and groups of cells. And you know, So what?
One of the things that wakes me up often most mornings now as
I'm 55, I wake up around 4 something 5:00 because some
cells down there tell me my bladder's full and it's time to
go empty it and they send signals to wake me up so I don't
see the bed. Well, you know, I'm 10 years

(51:55):
older than you, and I look at things a little differently.
I believe in free will. I think you have biology, and
biology certain has an impact, certainly has an impact.
But I also believe in free will,because there's a point at which
you can process everything and you still have to make a
decision. That's the next step is we have

(52:16):
free won't and and we have to part of the training we need to
all do is use investing. His example.
Wow, that's really exciting. I feel like buying hold on a
second. Another part of your brain is
trained. Wait, let's review this and

(52:36):
let's other circuitry, right, Let's use other neurons and
let's check, let's check the math on that.
I'm going to, you know, the excited part, the emotional part
of me says this is great, but I'm going to now use my
analytical functions to dig in and do some more research and
make sure that this is all checks all the boxes that I've
rules that I've established that, you know, like I talked

(52:59):
about in the book, it's pattern recognition.
You know, do all these things line up in this company that
make it? Yeah, OK, it's probably going to
do well then, right. And you got, you want to make
sure you check all those boxes. And that's the same thing that
happens with our choices. It's like, wow, look at that big
cake. I would love to eat that.
No, I maybe I shouldn't, right? And you have to be able to stop

(53:19):
yourself. And you could stop yourself and
then the more you train yourself.
Or maybe I will. Or maybe you will, right?
In moderation, totally fine, right?
It's just that you don't want tofind it, you know, you, you,
you, you. The ideas is you want to look at
what you're doing and then make decisions like where is this
leading? Is this leading to good things?

(53:39):
And that's manifesting right as well.
But just to finish up on that whole crowd idea, you think
about the Conference Center and all these clusters and you know,
a group gets excited over here and starts being very loud and
boisterous, right? Well, they're going to get the
attention. All of a sudden, other groups
quiet down and low. What are they laughing at,
right? That's how when, when we have

(54:01):
one region or brain get really excited, other areas drop away.
And then the whole, when we get our whole attention, that's the
flow state. That's when we're in the zone
and we're all super dialed in. And now we're using all of our
capacity to focus on what we've determined is an important task.
And the interesting thing is, isthat amplitude and frequency

(54:21):
relates to like your meditation and stress.
And if you've got too many things that's like your computer
with too many applications open and you're trying to flip from
one to the, you can't do any real work.
And so sometimes you're like, wait a second, I want to write
this book. I'm shutting all these
applications. I'm turning my phone off and I'm
just using Microsoft Word or whatever, and I'm going to type

(54:42):
out my manuscript, right? You have to do that work.
Otherwise you're not going to produce a good, get a good
result and get things done. And it's the same thing in our
lives. If we're scrambling and we're
too erratic, cortisol levels rise, we're not able to focus
and use the full capacity, this area of our brains worried about
this thing and this all I need to remember that.
And you got to learn to breathe,slow down and regroup.

(55:05):
And we have to realize that we have all these triggers,
triggers. And it's literally, you know, if
you think about that amplitude and frequency, I use the
analogy, you could have this amazing, everyone's
concentrating on the speaker at the front of the room and or
people are at break time. We're all having conversations.
Well, if one person comes in andscreams really loud, like like

(55:28):
they're dying, right? Everyone shuts up, right?
It's it's that signal that amplitude and frequency of a
shrill from somebody grabs everybody's attention.
Think about that. A few cells in our ears sense
that sound wave and trigger us to stop what we're doing and

(55:50):
look over there because there's a threat.
And that happens when there's a flash of light, which is energy,
a sound wave, a boom, Thunder. And then if it's a growl, if
it's, you know, something that'sintense.
And I actually talked to my daughter.
She says that if she's walking down the street and she hears a
deep man's voice in the dark at night, you know, if she was in

(56:12):
an alley and she were to hear a man's voice, it would
immediately make her hair stand up on and make her nervous.
There's innate programming in our epigenetics where we are
either attracted to certain sounds, some trigger fear in US,
you know, and they say things and and it's all tunable because
we we see a rattlesnake and for the rest of the day, if we're

(56:34):
walking around in the woods and we hear rustling in the leaves,
it could be a chipmunk. We're now on high alert, yes,
because we've seen a snake. We're now trait.
We've now it's like we've ear cells being alert and then we
and what happens when you get that spark, that voice, that
signal, that scream that that puts you into a version mode

(56:59):
depending on how strong of an aversion you have, you're wired
to kind of explode with ATP, your energy double wise when
you're ready to go fight or flight and you don't want to be
in fight or flight unless you really need to fight or flight,
right? And that relax and.
And ready. And rest and digest state when

(57:19):
you hear the soothing sounds andyou get calm and that's where
you put on the calm music or whatever and soothing voices and
you take it down, you know, and you could, you could calm people
and, and these types of triggersare everywhere, right?
It's not just about sounds and distress.
It's like, you know, for some people it's when a a certain

(57:40):
teacher like first, OK, but holdon, hold on because we've only
got about two minutes. Wrap that up into investing.
Wrap that sensory into investingas a conclusion.
Yeah, in in my. Book I talk about.
Wiring. Ourselves so that we're we're,
we're we're trained to not be distracted by what's going on on

(58:01):
the front page. And instead we're, we, we get
excited. We get in the zone into the flow
state by digging in the last page right.
What what's what's on the back like what's in deep within this
document or whatever that is eventually going to become a
front page story. I want to hear, I want to go to
the places where I could hear that song early.

(58:22):
You know, that's that I know. And I'll hear it.
I'll be like, yes, that's going to be a big hit.
I want to sign that artist. It's the exact same thing.
I hear this stock story and I'm like, oh, that checks all the
boxes. I've done my due diligence and I
can't poke a hole in the story. That means that everybody's
going to love it. And when I, when I, and then not

(58:42):
only that, but so many people don't do, do good, do good due
diligence, and you start saying,wow, this story is so good, I
think it's going to go viral. And, and I wrote an article
recently because there's a book called the guy who coined the
phrase about irrational exuberance.
Sorry, his name escapes me rightnow.
Anyway, he wrote a book about why things go, why stocks go

(59:05):
viral and would would you check all the boxes and something so
exciting and there's all these different themes, right?
In graphene is like, oh, it improves the environment.
Oh, there's all these massive military applications, right?
Massive, massive military application.
I didn't even get through. There's 27 critical industries
that have been identified by JP Morgan.
And I'm just writing an article on my ex account just published

(59:27):
today where I show why graphene applies to every one of those 27
different critical functions, right?
Every single one. I'm like, you got to read this
because there's no other material that is like that.
There's nothing else and no other company that is unique.
Is this 1? And that's what I I love is when
I find a story like this early, I'm like, oh, everybody's going

(59:48):
to love this thing. This thing is going to be a
worth 10s of billions. Right now.
It's it's just getting close to a billion Canadian, like 600 and
700 million US. It's going to go to the NASDAQ.
It's going to go huge. People are going to fall in love
with this company because it it helps the environment.
It it makes you can make non stick pans with coatings that
are going to be safe. You can make plastic bottles

(01:00:10):
that don't have P fast issues that plastic doesn't leach into
your body. So many different applications.
Well, I cannot wait to learn more.
I wish this time wasn't up. I have been speaking with Kevin.
Bam bro bro OK. We got to make sure we say that
right? Bam bro and there.
Are going to be links to his X account, his website.

(01:00:33):
They'll be all kinds of links below here so you can follow
him. He's as well as a link to his
book, The Energetic Investor, which is really a really, it's
such an unusual take on investing.
And health. And ties it all together and
consciousness. It's just a really good book.
I highly recommend it. So, Kevin, thank you so much.
We're going to move over to the Green Room.

(01:00:55):
Hey, thanks very much. It's been a pleasure.
Thank. You everybody, I'm.
Diane Grissell, this is the Silver Disbedience Perception
Dynamics podcast. I'm sitting in Manhattan Center
and I just love this place. I'm in TV too, and Kevin is in
some wonderful place in the world.
Thus the tan. So I'm the pale face.

(01:01:17):
Please hit subscribe and follow Kevin and everybody else on this
show. Hang in there, Kevin.
Here we go. Thank you.

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Investing • Instincts • Observations: Energetic Investing, Graphene, AI, Crypto with Kevin Bambrough

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.css-14f5ked{margin:0;word-break:break-word;display:-webkit-box;-webkit-box-orient:vertical;box-orient:vertical;-webkit-line-clamp:2;overflow:hidden;}Investing • Instincts • Observations: Energetic Investing, Graphene, AI, Crypto with Kevin Bambrough