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Ladies and gentlemen, welcome to
the Business Brew. 

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I am your host, Bill Brewster. 
As always, this episode features

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Adam Wilk. 
It is a very interesting 

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conversation. 
I hope you like it. 

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There is a good portion of 
conversation that talks about 

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Duolingo, which I found very 
interesting. 

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Admittedly not something that 
I've thought about a whole lot 

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in the past but have been since,
and overall just an interesting 

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conversation on how Adam thinks 
and where he came from, so I 

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hope you enjoy it very much. 
As always, nothing in this 

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episode is financial advice. 
Everything is for entertainment 

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purposes only. 
Please consult your financial 

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advisor before making investment
decision and do your own due 

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diligence. 
This episode is sponsored by 

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Trata TRATA. 
You can try Trata at 

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tritrata.com, TRYTRA, 
ta.com/brew for a free trial. 

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Trata is a transcript library 
analyst to analyst. 

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You are going to hear 
conversations between two 

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informed individuals or you were
going to read. 

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You can listen, but there it's 
informed conversations between 

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two analysts. 
I happen to like that because I 

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think it gets some of the fluff 
out of some of the more 

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traditional transcript libraries
and you get to the point. 

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So I find it, I find it to be 
useful. 

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I've been using it a lot and I, 
I think that they highlight some

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very interesting things. 
I also, one thing that I enjoy 

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very much about it is you can 
read clearly, we are interested 

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in this company, but we do not, 
do not own it because of XYZ or 

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you know, whatever comes up. 
But I do think that it helps 

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frame what some of the 
discussion in the stock is 

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doing. 
So I find that particularly 

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interesting. 
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Check it out. 
This episode is also sponsored 

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level, for lack of a better 
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with Cdr, that's a great use 
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The pitch I'm going to make 
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Much awesome. 

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Yeah. 
So anyway, everyone, Adam Wilk 

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of Greystone, tell me, tell me 
the firm name. 

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I should know this. 
It is Greystone Capital 

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Partners. 
There you go. 

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All right. 
Thank you for coming on. 

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And you've been, you've been 
doing the podcast circuit 

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lately. 
Yeah. 

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So I've done a few and the last 
one I did was actually value 

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after hours a couple months ago.
It was really weird that you 

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weren't on there. 
I'm not sure how to how to piece

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that together, but I love 
talking to those guys. 

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Tobias and Jake are great. 
I'd met Tobias at an event years

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ago. 
And I think, I think our mutual 

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friends, you and I are mutual 
friend Ian Castle, I think, 

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asked them to talk to me or 
something. 

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You know, I'm the beneficiary of
people doing nice things for me.

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But yeah, that was the last one 
I've been on. 

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Well, that's the goal, is to 
just pay the nice things 

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forward, right? 
Sure. 

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So what I, I apologize for not 
knowing this, but what you had 

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mentioned a couple times when we
were talking that that you had a

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background in professional 
sports. 

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What did you do before you were 
an investor? 

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Yeah. 
So, so I, like most investors, I

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think I'm a Buffett acolyte. 
And I discovered his writings 

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probably 1415 years ago and sort
of immediately knew I want to do

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that, you know, to think the way
he thinks and allocate capital 

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the way he does. 
But I took a pretty convoluted 

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path to get there. 
Before investing, I spent time 

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around the NBA as a scout, 
including in San Antonio with 

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the Spurs and in Houston with 
the Rockets. 

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And I had a short stint in 
commercial lending. 

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And I always get asked this 
question because on the surface,

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basketball to investing looks 
like a big leap, but it actually

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wasn't at all. 
And I've kind of always been 

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drawn to decision making under 
uncertainty and pattern 

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recognition kind of long before 
I ever owned a stock. 

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And I think what most people 
miss about an organization like 

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the Spurs is that it's not 
really about basketball. 

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And if you're not familiar, they
have one of the most successful 

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organizations in all of sports. 
And it's not it's more of a 

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systems thing or a systems 
problem. 

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So I learned very quickly when I
was there, you're evaluating 

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talent with incomplete 
information and you're making 

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irreversible decisions. 
You're allocating resources and 

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you're doing all of it under 
pressure and uncertainty. 

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And over time, you build that 
kind of pattern recognition in a

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number of areas. 
And I think that I was a scout 

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and I worked at the analytics 
department and you kind of a 

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Jack of all trades, master of 
none, I would say. 

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And the Spurs were formative for
me, not just because of the 

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talent evaluation piece and the 
culture, but because their 

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advantage couldn't be replicated
and other teams would try to 

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copy their tactics and they 
missed that the real edge was 

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kind of like embedded in the 
system itself that was built 

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over years and enabled them to 
make better decisions. 

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And that idea that a durable 
advantage comes from systems, 

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culture, incentives, etcetera, 
rather than like surface level 

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stuff ended up really shaping 
how I think about companies. 

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And when this, the sort of spark
faded and I had this kind of 

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recurring feeling that I was 
sitting kind of on the wrong 

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side of the table, which has 
been, I think, a theme 

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throughout my life and career 
where I was kind of close to 

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decisions, but not really 
accountable for the outcomes and

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I wasn't kind of rewarded for 
getting them right. 

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I started studying public 
between lending and studying 

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public markets. 
It just became very clear to me 

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that modern capital allocation 
is broken in some ways and also 

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over optimized in other ways, 
whether it's short time horizons

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or career risk or institutional 
incentives. 

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And I actually never set out to 
be a fund manager. 

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Greystone started as a personal 
playbook, like how I would 

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manage capital for myself and my
family. 

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And once I realized that the way
that I think kind of naturally 

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aligns with capital allocation, 
building the fund has kind of 

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felt less like a career decision
and more like kind of the 

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logical endpoint of everything 
I've done. 

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So it was more of an 
inevitability than anything 

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else. 
But yeah, you know, again, the 

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sitting on the wrong side of the
table thing has been I started 

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out working in the sports agent 
world and then went to the NBA 

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and then transitioned to the 
lending and then investing. 

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So it's been kind of a process 
of iteration. 

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I know a guy that that used to 
work in football agency and it's

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interesting to talk to him about
my perception is it, it was 

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super sexy and very cool. 
And to hear his version of 

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reality being that fees are 
getting pushed down and it's, I 

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mean, obviously hyper 
competitive, but turns out it's 

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not as sexy as might look from 
the outside looking in. 

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No, there's also in the agency 
world they, there's a, a 

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significant power law effect as 
well, like the largest agencies 

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that have been around the 
longest and have the most 

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clients are the most dominant. 
And I don't see how that changes

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anytime soon for a number of 
reasons. 

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And so if unless you are with 
one of those bigger groups or 

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you have some sort of edge that 
allows you to get players over 

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them, I think it's very 
difficult to kind of start from 

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scratch nowadays. 
And I think those advantages 

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will will widen just with the 
reach that they have. 

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And now with players sort of 
post career endeavors starting 

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well before they retired, it's 
just a very different game now. 

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And so having a leg up in those 
areas and being able to more 

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resources means more players, 
which means more Commission 

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income, which means the ability 
to do things to to market and to

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sign more players, which means 
getting more players in the 

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door. 
And it becomes this really 

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difficult flywheel to disrupt. 
And so I, I, my first experience

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was working with a boutique 
agency and I learned that lesson

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first hand that they were very 
good. 

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They did right by their clients 
and they deserved a shot more 

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than anybody. 
But the ultimate decision in 

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many times, many cases came down
to things that didn't have 

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anything to do with like the 
representation. 

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It was more about the incentives
and what another agency can 

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offer and the attention put on 
the, the person and that sort of

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thing. 
So very, very difficult 

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industry, but if you do it well 
and you're you end up making it 

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to become one of the bigger 
guys, it can be very sexy. 

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Yeah, you got you. 
If you're working for one of the

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bigger agencies, you got to hope
that the bigger guys like to, to

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disperse the, the spoils of the 
winds among the employees, which

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can also be a bit of an issue 
from what I understand what of 

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course. 
So I mean, obviously, you know, 

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like if you're thinking about 
sports and, and businesses, you 

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have sort of the, the, the 
tangible things, right? 

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And anyone can pull up a 
financial, you know, historical 

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financials and see what a a 
company has done. 

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But getting to the core of the 
culture of it is, is, is 

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slightly different. 
I would think with sports 

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players you've got, OK, these 
are the, you know, the 

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measurements is how high 
somebody can jump, whatever. 

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And then you've got the 
character side of who that 

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person is. 
Are they going to work for the 

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team after we pay them, 
etcetera, etcetera. 

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How have those skills crossed 
over, or how have your sort of 

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younger experiences influenced 
what you're doing as an investor

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today? 
In a big way. 

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It's really hard to evaluate 
those things, especially the 

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culture and human side. 
Just speaking about management, 

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I think. 
I think there are times when I 

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can figure it out and I can 
judge it. 

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There are other times when I'm 
not sure I can. 

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And what I'm really big on is a 
track record and then channel 

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checks and doing sort of 
examinations of the people in a 

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person's life. 
That was very big in the sports 

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world. 
Obviously, we spent a lot of 

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time just talking to the people 
sort of in and around the 

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player, and that helped paint a 
picture of who they were and how

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hard they would work. 
And that's really what you're 

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trying to figure out. 
And on the management side, I'm 

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really looking for kind of a 
longer track record and people 

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making really sensible 
decisions. 

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And if I can find that even 
before I get involved, that's 

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usually a good sign. 
And one of the insights I've had

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over the years, I think, and 
this was aided a little bit by 

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human talent evaluation in, in 
sports, is that if somebody's 

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making decisions from kind of a 
first principles, very sensible 

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reason based approach, that's 
usually a very good sign. 

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And on the management side, I've
had, I've had managers say 

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things like, you know, we 
thought we thought the market 

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would have value, you know, a 
faster growing, you know, XYZ 

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00:12:29,000 --> 00:12:32,040
segment and, and assign it a 
higher multiple or we made this 

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00:12:32,040 --> 00:12:35,200
decision because our 
shareholders had asked us about 

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00:12:35,200 --> 00:12:37,720
XYZ. 
And generally speaking, I think 

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those are terrible reasons to do
anything. 

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And what you're really looking 
for is we evaluated this 

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industry and what we learned was
XYZ or we, we studied this part 

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of this vertical and we decided 
to acquire this business because

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here's what we learned. 
And it's just a more, I think 

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durable approach over time. 
When you're thinking through the

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actual layers of a business and 
you're, you have a, a kind of 

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00:13:07,560 --> 00:13:10,240
long term view about how things 
can turn out over time that 

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00:13:10,240 --> 00:13:14,360
allows you to make decisions in 
that way, but also to kind of 

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00:13:14,360 --> 00:13:16,760
ignore short term noise. 
And it's important in both 

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00:13:16,920 --> 00:13:19,120
sports and, and investing in 
business. 

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And I think now I'm not saying 
this came directly from 

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00:13:22,960 --> 00:13:26,520
basketball, but one, one of the 
edges I think I have is having 

229
00:13:26,520 --> 00:13:30,600
kind of a coherent worldview 
about how durable advantages are

230
00:13:30,600 --> 00:13:33,560
formed within a business and 
using that worldview to make 

231
00:13:33,560 --> 00:13:36,720
kind of like fewer, higher 
conviction decisions. 

232
00:13:36,720 --> 00:13:41,280
And so I try to spend less time 
predicting the outcomes of 

233
00:13:41,280 --> 00:13:44,240
things and looking at surface 
level stuff and more time 

234
00:13:44,240 --> 00:13:46,560
understanding like the systems 
that produce them. 

235
00:13:46,680 --> 00:13:50,280
And that is a very 
interconnected idea with sports.

236
00:13:50,280 --> 00:13:54,440
And I like to focus the work on,
just like with evaluating 

237
00:13:54,440 --> 00:13:57,840
players, like why certain 
businesses get stronger over 

238
00:13:57,840 --> 00:13:59,680
time, not just why they're 
growing today. 

239
00:14:00,040 --> 00:14:04,960
And I like to see, you know, 
players and businesses to where 

240
00:14:05,120 --> 00:14:07,240
their advantage like compounds 
over time. 

241
00:14:07,240 --> 00:14:10,040
They get better as they work on 
their game through learning, 

242
00:14:10,040 --> 00:14:12,400
constraint system, evolution, 
that sort of thing. 

243
00:14:12,400 --> 00:14:17,320
And so on the culture side, you 
know, you can observe it within 

244
00:14:17,360 --> 00:14:19,840
a business. 
It's very hard to judge, but 

245
00:14:19,840 --> 00:14:23,000
talking to employees or former 
employees is a really good way 

246
00:14:23,000 --> 00:14:24,920
to do that. 
I think if you want to learn a 

247
00:14:24,920 --> 00:14:27,960
lot about a business, you have 
to talk to people and you know, 

248
00:14:27,960 --> 00:14:31,240
the publicly available stuff 
will probably get you 10 or 15% 

249
00:14:31,240 --> 00:14:33,640
of the way there. 
And getting a sense for how 

250
00:14:33,640 --> 00:14:37,360
people feel about the place they
work and the the structure in 

251
00:14:37,360 --> 00:14:40,160
terms of whether it's 
centralized or decentralized and

252
00:14:40,640 --> 00:14:43,320
what the attitude is around the 
company is really, really 

253
00:14:43,320 --> 00:14:45,080
important. 
I think that drives a lot of 

254
00:14:45,280 --> 00:14:48,440
results over time. 
If people care for the business 

255
00:14:48,440 --> 00:14:50,640
and they believe in it and want 
to work hard for the people that

256
00:14:50,680 --> 00:14:53,000
they're working under with, 
that's really important. 

257
00:14:53,000 --> 00:14:57,480
And so there was this thing we 
used to pay attention to and in 

258
00:14:57,480 --> 00:15:01,760
basketball where they would say 
like within this team or this 

259
00:15:01,760 --> 00:15:04,080
organization, like everybody 
takes out the trash, so to 

260
00:15:04,080 --> 00:15:07,840
speak, like the GM runs the 
team, but the, the, there's not 

261
00:15:07,920 --> 00:15:10,000
a huge amount of hierarchy sort 
of so to speak. 

262
00:15:10,000 --> 00:15:13,520
And so I generally try to look 
for that in companies and you 

263
00:15:13,520 --> 00:15:16,520
know, the the capital allocator 
sits on top of all that. 

264
00:15:16,520 --> 00:15:18,680
So it is important to have 
somebody making those decisions.

265
00:15:18,680 --> 00:15:22,600
But combined, I think that, you 
know, just digging into the 

266
00:15:22,600 --> 00:15:25,440
sports background and where I 
came from, I think it provided a

267
00:15:25,440 --> 00:15:28,160
nice framework to just move 
forward on the investing side 

268
00:15:28,160 --> 00:15:30,400
and be able to, I think, 
evaluate things that way. 

269
00:15:31,480 --> 00:15:37,120
So how much of your time is 
spent like really cultivating, I

270
00:15:37,120 --> 00:15:39,800
don't want to say an expert 
network, but some sort of 

271
00:15:39,800 --> 00:15:42,320
scuttlebutt network, for lack of
a better term? 

272
00:15:42,320 --> 00:15:45,920
Like if you were to say what you
allocate your time to in a given

273
00:15:45,920 --> 00:15:48,240
week, I know that's kind of 
tough to pinpoint, but. 

274
00:15:48,520 --> 00:15:54,800
Most generally, most of it. 
So I would say between 1520%, 

275
00:15:55,120 --> 00:15:58,400
whether it's a new idea or 
something in the portfolio, I 

276
00:15:58,400 --> 00:16:02,440
would say between 15 and 20% is 
allocated to like publicly 

277
00:16:02,440 --> 00:16:05,040
available things. 
Let's take looking at a new 

278
00:16:05,040 --> 00:16:07,920
idea, for example. 
I'll go through all that stuff 

279
00:16:07,920 --> 00:16:11,960
and probably do what most 
investors do and model the 

280
00:16:11,960 --> 00:16:14,560
company and go through the 
filings and read the calls and 

281
00:16:14,680 --> 00:16:17,040
everything that's publicly 
available I'll digest. 

282
00:16:17,440 --> 00:16:20,440
And then the rest of the time is
spent actually determining what 

283
00:16:20,440 --> 00:16:22,920
reality is. 
And to do that, I spend a lot of

284
00:16:22,920 --> 00:16:26,600
time talking to people, 
unfortunately or fortunately, I 

285
00:16:26,600 --> 00:16:28,960
guess because I do think this is
another differentiator for us. 

286
00:16:28,960 --> 00:16:33,280
But I spend a lot of time 
sourcing these people and the 

287
00:16:33,280 --> 00:16:35,800
hit rate is very low, which is 
why I said unfortunately. 

288
00:16:36,520 --> 00:16:39,040
But at the same time, it's a 
very manual process. 

289
00:16:39,040 --> 00:16:43,120
So I think it sets us apart from
I think maybe the, the average 

290
00:16:43,120 --> 00:16:45,560
fund or who knows, it's just 
manual. 

291
00:16:45,560 --> 00:16:47,120
And so there's a lot of work 
involved. 

292
00:16:47,720 --> 00:16:49,840
And I'll, I'll generally not 
always come away with some 

293
00:16:49,840 --> 00:16:52,280
insight about the business. 
That's very helpful going 

294
00:16:52,280 --> 00:16:56,160
through that process. 
And a lot of times I'll run the 

295
00:16:56,160 --> 00:16:59,120
gamut of people, whether it's 
competitors, customers, 

296
00:16:59,400 --> 00:17:02,720
employees or former employees, 
suppliers or vendors or people 

297
00:17:02,720 --> 00:17:05,040
adjacent to the business. 
And like I said, what I'm really

298
00:17:05,040 --> 00:17:08,119
trying to do in that process is 
determine what reality is, if I 

299
00:17:08,119 --> 00:17:12,839
think a company can grow at 15% 
per year and they have 20% 

300
00:17:12,839 --> 00:17:14,440
margins or something along those
lines. 

301
00:17:14,440 --> 00:17:17,560
I just want to sort of baseline 
to that and see what other 

302
00:17:17,560 --> 00:17:20,520
people who operate in and around
the industry or the business 

303
00:17:20,520 --> 00:17:23,480
think and just get a kind of 
more wholesome picture of a 

304
00:17:23,480 --> 00:17:26,599
company. 
And so it's become my preferred 

305
00:17:26,599 --> 00:17:28,040
way of learning about a 
business. 

306
00:17:28,040 --> 00:17:31,640
And it's also probably more fun 
than reading a 10K or so. 

307
00:17:31,640 --> 00:17:33,800
And so I, I spend a lot more 
time doing that. 

308
00:17:34,280 --> 00:17:39,360
And then I think over time those
relationships will compounds not

309
00:17:39,360 --> 00:17:43,120
only my own learning, but just 
pattern recognition and the idea

310
00:17:43,120 --> 00:17:46,560
search because I can sometimes 
tap on that network when I don't

311
00:17:46,560 --> 00:17:49,920
know something or revisit a 
prior relationship when I'm 

312
00:17:49,920 --> 00:17:53,160
trying to figure something out. 
And so that's become very 

313
00:17:53,160 --> 00:17:57,800
different from the early version
of the fund where I think great,

314
00:17:57,800 --> 00:18:00,240
the early Greystone was made-up 
of just statistically cheap 

315
00:18:00,240 --> 00:18:03,800
micro caps and spent less time 
doing that and less time focused

316
00:18:03,800 --> 00:18:07,240
on business quality, etcetera. 
But that talking to people and 

317
00:18:07,240 --> 00:18:10,800
scuttlebutt as you mentioned, 
has probably become a much 

318
00:18:10,800 --> 00:18:13,200
bigger part of my process over 
the last couple of years. 

319
00:18:14,480 --> 00:18:17,120
Yeah. 
Well, and it's, it's interesting

320
00:18:17,120 --> 00:18:22,560
that you've chosen to specialize
in the small Cap universe, which

321
00:18:23,080 --> 00:18:26,040
is not the most loved universe 
in the world, right. 

322
00:18:26,040 --> 00:18:31,040
So what about that universe sort
of attracts you? 

323
00:18:31,040 --> 00:18:34,280
Is it, is it something inherent?
Is it that you think you have a 

324
00:18:34,280 --> 00:18:37,640
scuttlebutt advantage or is it 
just kind of where the 

325
00:18:37,640 --> 00:18:40,280
opportunities are? 
Yeah. 

326
00:18:40,640 --> 00:18:46,360
You know, I ask myself that 
every day as I watch other parts

327
00:18:46,360 --> 00:18:49,040
of the market, you know, socks 
and other areas of the market go

328
00:18:49,080 --> 00:18:53,000
up every day. 
The short answer answer is I 

329
00:18:53,000 --> 00:18:57,040
think that there is more 
opportunity in this area. 

330
00:18:57,040 --> 00:19:00,480
And going back to to what I've 
said, what I said earlier about 

331
00:19:00,480 --> 00:19:04,600
modern capital allocation, I'm 
not the first person to say 

332
00:19:04,600 --> 00:19:09,320
this, but they're because of the
way that because of the current 

333
00:19:09,320 --> 00:19:12,360
structure of the market that's 
made-up of mostly passive 

334
00:19:12,360 --> 00:19:16,160
investors and quantitative base 
strategies, which there are 

335
00:19:16,160 --> 00:19:19,040
estimates all over the the place
for the percentages here. 

336
00:19:19,040 --> 00:19:23,040
But something around 80% or so 
of the market is made-up of 

337
00:19:23,040 --> 00:19:25,320
passive investing and 
quantitative based strategies. 

338
00:19:26,120 --> 00:19:29,960
I think JP Morgan or Goldman 
Sachs put out a study relating 

339
00:19:29,960 --> 00:19:34,320
to this fairly recently. 
And the remaining active 

340
00:19:34,320 --> 00:19:38,720
universe has changed drastically
in the last couple of decade 

341
00:19:38,720 --> 00:19:41,360
where the industry has gotten 
smaller as fees have compressed 

342
00:19:41,560 --> 00:19:46,320
and is consolidated and active 
capital has moved into these 

343
00:19:46,520 --> 00:19:49,440
really large asset managers or 
pod shops as people call them 

344
00:19:49,720 --> 00:19:54,000
like Citadel or Bally Asney. 
And that is left those those 

345
00:19:54,680 --> 00:19:58,080
those shops have such large 
amounts of assets that they can 

346
00:19:58,240 --> 00:20:00,760
almost only focus on certain 
areas of the market like the 

347
00:20:00,760 --> 00:20:04,880
largest, most liquid companies. 
And that has left a sort of wide

348
00:20:04,880 --> 00:20:09,480
open hole for companies in the 
small cap, even midcap space 

349
00:20:10,280 --> 00:20:14,320
where they're overlooked and 
under followed and are more 

350
00:20:14,320 --> 00:20:18,080
difficult to own. 
For some of these larger asset 

351
00:20:18,080 --> 00:20:22,440
managers, and I think in some 
way that provides an advantage 

352
00:20:22,440 --> 00:20:27,520
because there's a little bit of 
a, you know, information 

353
00:20:27,520 --> 00:20:29,800
advantage that that's mostly 
been arbitraged away. 

354
00:20:30,480 --> 00:20:33,320
There's a, a big time behavioral
advantage if you're willing to 

355
00:20:33,600 --> 00:20:37,840
sift to this area and own 
stocks, view stocks as ownership

356
00:20:37,840 --> 00:20:40,480
shares and businesses, which I 
do and own them for longer 

357
00:20:40,480 --> 00:20:42,600
periods of time. 
Sometimes a small cap company 

358
00:20:42,600 --> 00:20:46,120
might not work for years before 
it, you know, triples or 

359
00:20:46,280 --> 00:20:48,480
quadruples. 
I have this conversation with 

360
00:20:48,480 --> 00:20:51,640
investors all the time about 
about that dynamic. 

361
00:20:51,680 --> 00:20:54,960
And and then there's a little 
bit of what I think is an 

362
00:20:54,960 --> 00:20:59,520
interpretive advantage where by 
doing some of the work that 

363
00:20:59,800 --> 00:21:03,760
we're doing, I think there's a 
way to interpret what's actually

364
00:21:03,760 --> 00:21:08,680
happening inside a business and 
distinguishing the narrative or 

365
00:21:08,680 --> 00:21:11,520
the surface level stuff from the
reality. 

366
00:21:11,520 --> 00:21:16,640
And what what type of 
understanding how two different 

367
00:21:16,640 --> 00:21:19,080
financial profiles could 
diverge, similar financial 

368
00:21:19,080 --> 00:21:20,520
profiles could diverge over 
time. 

369
00:21:20,520 --> 00:21:25,000
So for example, if in the small 
cap space, a lot of times 

370
00:21:25,160 --> 00:21:28,640
businesses will be lumped into 
certain buckets, whether it's 

371
00:21:28,640 --> 00:21:37,320
cyclical or low value add or 
M&AS value destructive or, you 

372
00:21:37,320 --> 00:21:40,280
know, whatever the case may be 
that that mislabels a company on

373
00:21:40,280 --> 00:21:43,320
the surface. 
And a lot of times if you do the

374
00:21:43,320 --> 00:21:47,800
work and you talk to people and 
spend a lot of time on the 

375
00:21:47,800 --> 00:21:50,480
actual advantage that a business
has or peeling back the onion, 

376
00:21:50,480 --> 00:21:54,160
so to speak, there's a, there's 
a way to define a differentiated

377
00:21:54,160 --> 00:21:56,120
insight about what the company 
actually is. 

378
00:21:56,320 --> 00:21:58,880
And through that process, I 
think a lot of times you can 

379
00:21:58,880 --> 00:22:01,600
find a business that's much 
higher quality than the market 

380
00:22:01,600 --> 00:22:03,960
thinks it is. 
And there's a couple examples of

381
00:22:03,960 --> 00:22:06,680
that in the portfolio right now,
which we can definitely talk 

382
00:22:06,680 --> 00:22:09,080
about. 
But in the in the large cap 

383
00:22:09,080 --> 00:22:12,840
space, it's a little bit harder.
I find that it's certainly not 

384
00:22:12,840 --> 00:22:15,920
impossible, but I find that it's
much more difficult to find a 

385
00:22:15,920 --> 00:22:20,400
true mispricing outside of a 
systemic event because of the 

386
00:22:20,400 --> 00:22:23,000
amount of information flow and 
eyeballs on these businesses and

387
00:22:23,000 --> 00:22:25,920
the liquidity profiles. 
And so it's a combination of 

388
00:22:25,920 --> 00:22:29,480
things, but I had, I'm also a 
little bit biased because I had 

389
00:22:29,480 --> 00:22:32,520
some early success in micro caps
and small caps and have kind of 

390
00:22:32,520 --> 00:22:36,120
just leaned into that advantage.
But as time has gone on, what 

391
00:22:36,120 --> 00:22:40,120
I've realized is that I believe 
that there is a, there's an 

392
00:22:40,160 --> 00:22:43,800
advantageous approach to finding
these companies early and then 

393
00:22:43,800 --> 00:22:45,800
being able to hold them for long
periods of time. 

394
00:22:46,360 --> 00:22:48,880
And you know, it's hard, not all
these companies make it, but a 

395
00:22:48,880 --> 00:22:52,600
business that goes from, you 
know, a $200 million market cap 

396
00:22:52,600 --> 00:22:56,840
to a billion, we can own it at 
the $200 million level. 

397
00:22:56,920 --> 00:22:59,960
And then at a billion, maybe it 
gets added to an index or 

398
00:23:00,000 --> 00:23:03,200
institutional crowd starts to 
get involved and it becomes kind

399
00:23:03,200 --> 00:23:06,080
of a different maybe liquidity 
story overall, But people get 

400
00:23:06,200 --> 00:23:09,720
more interested at that level. 
And whereas they weren't earlier

401
00:23:09,720 --> 00:23:12,160
because the company was small or
maybe it was misperceived or 

402
00:23:12,160 --> 00:23:13,400
mischaracterized as something 
else. 

403
00:23:13,400 --> 00:23:18,200
So it's a combination of things.
But I think that I think in the 

404
00:23:18,200 --> 00:23:22,080
small cab area and midcap area, 
even like a $10 billion public 

405
00:23:22,080 --> 00:23:23,720
company, I would argue with 
small these days. 

406
00:23:24,040 --> 00:23:27,440
These days, I think those 
advantages kind of improve with 

407
00:23:27,440 --> 00:23:30,360
experience and they compound 
across decisions. 

408
00:23:30,360 --> 00:23:32,920
And they, I don't think it's 
something that can be arbitraged

409
00:23:32,920 --> 00:23:36,400
away at least yet. 
And it doesn't require a lot of 

410
00:23:36,400 --> 00:23:38,400
size. 
And so a smaller fund that's 

411
00:23:38,400 --> 00:23:41,840
kind of willing to cap assets, 
think like a business owner own 

412
00:23:41,840 --> 00:23:44,680
businesses for a long term. 
It's a great place to to sort of

413
00:23:44,680 --> 00:23:47,640
fish. 
And the last thing I'll say is I

414
00:23:47,640 --> 00:23:51,000
think everybody read that 
amazing Colossus profile on 

415
00:23:51,000 --> 00:23:53,360
Henry Ellenbogen and I hope 
that's how you pronounce his 

416
00:23:53,360 --> 00:23:55,680
last name. 
I'm sorry if I butchered it. 

417
00:23:56,320 --> 00:24:01,000
But he's, he's talked a lot 
about how how finding good 

418
00:24:01,000 --> 00:24:04,520
companies early is a huge part 
of durable capital strategy and 

419
00:24:04,520 --> 00:24:07,920
also how companies go through 
multiple iterations over their 

420
00:24:07,920 --> 00:24:11,200
life cycle, sometimes starting 
out as one thing and then 

421
00:24:11,520 --> 00:24:13,920
evolving into a completely 
different thing that the market 

422
00:24:13,920 --> 00:24:16,480
doesn't understand. 
And being able to own and hold 

423
00:24:16,480 --> 00:24:19,320
those companies through those 
periods can be some of the most 

424
00:24:19,320 --> 00:24:23,760
lucrative investment returns 
because you're maybe not only 

425
00:24:23,760 --> 00:24:26,280
having a chance to buy it at 
Lowe's when the market sells a 

426
00:24:26,280 --> 00:24:28,080
stock off because they don't 
understand what's happening. 

427
00:24:28,080 --> 00:24:33,400
But you are able to kind of, 
again, sort of enact that 

428
00:24:33,400 --> 00:24:36,400
behavioral edge and think of 
stocks as as businesses as 

429
00:24:36,400 --> 00:24:38,160
opposed to just, you know, 
trading vehicles. 

430
00:24:38,160 --> 00:24:40,480
And so I, I couldn't agree more 
with what he said. 

431
00:24:40,480 --> 00:24:43,040
And I think this area in general
is just for those reasons 

432
00:24:43,040 --> 00:24:45,480
provided a lot of really 
interesting advantages and 

433
00:24:45,480 --> 00:24:50,800
opportunities to sift through. 
The letter that you wrote about 

434
00:24:51,480 --> 00:24:54,440
a Moat, I'm going to butcher 
exactly what you said, but the 

435
00:24:54,440 --> 00:24:56,800
good news is you're going to be 
here to to correct me. 

436
00:24:56,800 --> 00:25:04,160
But the, the Moat is basically 
the output of a lot of small 

437
00:25:04,160 --> 00:25:09,280
decisions that that create the 
conditions to solve problems 

438
00:25:09,280 --> 00:25:12,160
down the road. 
I, I couldn't help. 

439
00:25:12,160 --> 00:25:14,680
I don't know why my mind goes 
here, but I couldn't help but 

440
00:25:14,680 --> 00:25:18,080
thinking about like there's an 
interview of Kobe when he's 

441
00:25:18,080 --> 00:25:21,400
talking about when he's young, 
he would work on what he wasn't 

442
00:25:21,400 --> 00:25:24,240
good at and the other people 
would work on what they were 

443
00:25:24,240 --> 00:25:26,320
good at. 
So if you were a scout and 

444
00:25:26,320 --> 00:25:30,320
you're watching a 15 year old 
game, you might see him, you 

445
00:25:30,320 --> 00:25:33,640
know, going left when he's 
better right and, and clanking a

446
00:25:33,640 --> 00:25:39,480
shot that you know, the other 
guy is, is doing a drop step in 

447
00:25:39,480 --> 00:25:42,640
dunking. 
But Kobe's mindset was, I don't 

448
00:25:42,640 --> 00:25:44,520
care that you're going to beat 
me when I'm 15. 

449
00:25:44,520 --> 00:25:47,920
I'm going to kick the crap out 
of you when we're 22 and, and 

450
00:25:47,920 --> 00:25:53,240
later, right. 
So I get the sense that 

451
00:25:53,240 --> 00:25:56,320
sometimes when these companies 
are younger, they're still 

452
00:25:56,320 --> 00:25:59,440
trying to figure out where 
they're strong and where they're

453
00:25:59,440 --> 00:26:06,360
weak and how to how to sort of 
become stronger and get the, you

454
00:26:06,360 --> 00:26:08,160
know, find the magic somehow, 
right? 

455
00:26:08,160 --> 00:26:11,760
I mean, a lot. 
There's there's the concept of 

456
00:26:11,760 --> 00:26:14,560
overnight successes. 
I I think has been dispelled of,

457
00:26:14,560 --> 00:26:16,320
right? 
It's the ten years that no one 

458
00:26:16,320 --> 00:26:17,680
heard of you. 
And then all of a sudden you're 

459
00:26:17,680 --> 00:26:22,360
an overnight success. 
And I'm just kind of curious if 

460
00:26:22,360 --> 00:26:24,920
anything that I said resonates 
with you and if you want to talk

461
00:26:24,920 --> 00:26:28,040
a little bit about the thoughts 
that you put down on paper about

462
00:26:28,040 --> 00:26:30,680
moats. 
A lot of what you said 

463
00:26:30,680 --> 00:26:33,000
resonated, and we could take 
that in a lot of different 

464
00:26:33,000 --> 00:26:35,720
directions. 
I'm was such a huge Kobe fan. 

465
00:26:36,840 --> 00:26:40,560
Yeah, I don't know. 
I mean this, this may be one of 

466
00:26:40,560 --> 00:26:45,520
the very few insights I've had 
over the last decade or so after

467
00:26:45,520 --> 00:26:49,320
reading a book from the 70s 
called Systematics that was 

468
00:26:49,320 --> 00:26:51,840
written by a a machinist and a 
theorist. 

469
00:26:52,400 --> 00:26:54,760
Just about the book is about 
complex systems and mostly about

470
00:26:54,760 --> 00:26:57,880
how they fail. 
And I just have found that to be

471
00:26:57,880 --> 00:27:02,000
a really interesting, excuse me,
mental model for how to think 

472
00:27:02,000 --> 00:27:04,800
about businesses and for 
generating investment ideas. 

473
00:27:04,800 --> 00:27:08,400
And the idea is basically that 
kind of in what in line with 

474
00:27:08,400 --> 00:27:12,360
what you're saying is that a 
complex system that works comes 

475
00:27:12,360 --> 00:27:15,560
from a very simple system that 
worked and you can't sort of 

476
00:27:15,560 --> 00:27:19,840
reverse engineer that process. 
And I learned that first hand in

477
00:27:19,840 --> 00:27:23,520
San Antonio as we were talking 
about, where decades of doing 

478
00:27:23,520 --> 00:27:27,520
things one way made it so other 
teams could not replicate that 

479
00:27:27,520 --> 00:27:29,600
because the advantage was the 
system itself. 

480
00:27:30,000 --> 00:27:33,120
And that's a really powerful 
thing to look at through the 

481
00:27:33,120 --> 00:27:35,160
lens of business. 
And it it's one of those things 

482
00:27:35,160 --> 00:27:39,440
where I think once you see it, 
you can't Unsee it. 

483
00:27:40,000 --> 00:27:43,640
And we have a couple, excuse me,
we have a couple examples of 

484
00:27:43,640 --> 00:27:46,920
that in the portfolio. 
In my last letter that I just 

485
00:27:46,920 --> 00:27:50,000
put out, I wrote about Shift 4. 
And that's a great example of a 

486
00:27:50,000 --> 00:27:54,080
business that has basically 
grown and iterated and evolved 

487
00:27:54,080 --> 00:27:56,600
through cumulative learning, 
which has made the advantage 

488
00:27:56,600 --> 00:27:59,160
that they have very difficult to
replicate. 

489
00:27:59,440 --> 00:28:03,360
And there we don't have to get 
into the business now, but a big

490
00:28:03,360 --> 00:28:07,440
part of their strategy is 
acquiring customers via M&A. 

491
00:28:07,440 --> 00:28:10,440
So they'll buy a business with 
an embedded software piece of 

492
00:28:10,440 --> 00:28:13,880
software and a customer list 
that they can then cross sell to

493
00:28:13,880 --> 00:28:18,000
their end to end payments. 
And that's a very different 

494
00:28:18,000 --> 00:28:20,720
strategy than most of their 
competitors who lead with 

495
00:28:20,720 --> 00:28:22,960
feature rich software and point 
of sale systems. 

496
00:28:23,360 --> 00:28:27,160
And it's worked for them over 
time, not only because they 

497
00:28:27,160 --> 00:28:29,440
figured out how to do it and 
integrate it well and cross sell

498
00:28:29,440 --> 00:28:33,040
their cross sell their payments,
but also because 20 years ago 

499
00:28:33,280 --> 00:28:36,120
they've been, they started out 
in the payments ecosystem as a 

500
00:28:36,160 --> 00:28:39,840
simple processor, a reseller 
actually of processing systems. 

501
00:28:40,320 --> 00:28:42,760
And they've sort of evolved over
time to be at the forefront of 

502
00:28:42,760 --> 00:28:44,520
every new development in 
payments. 

503
00:28:44,520 --> 00:28:48,560
And so they have this like 2025 
year head start on all of their 

504
00:28:48,560 --> 00:28:51,240
competitors. 
And so when people say things 

505
00:28:51,240 --> 00:28:54,560
like the M&A is value 
destructive or payment 

506
00:28:54,560 --> 00:28:57,680
processing is commoditized or it
adds no value, looking beneath 

507
00:28:57,680 --> 00:28:59,840
the surface would reveal 
something very, very different. 

508
00:28:59,840 --> 00:29:03,000
Not only that they, the 
economics of that business are a

509
00:29:03,000 --> 00:29:06,240
lot better, but that their 
advantage from solving these 

510
00:29:06,240 --> 00:29:08,560
kind of like intractable 
problems, which is what I wrote 

511
00:29:08,560 --> 00:29:11,360
about, has just grown over time 
and it's really hard to 

512
00:29:11,360 --> 00:29:14,120
dislodge. 
Whereas if a company that has 

513
00:29:14,120 --> 00:29:18,400
LED with feature rich point of 
sale software, they can't really

514
00:29:18,400 --> 00:29:21,960
just go buy, you know, full 
gateway capability, payment 

515
00:29:21,960 --> 00:29:24,840
gateway capabilities or a 
merchant acquirer or try to 

516
00:29:24,840 --> 00:29:27,560
enter into the payment space 
where they're capturing the full

517
00:29:27,560 --> 00:29:30,720
stack of end to end payments 
because they lack the learning 

518
00:29:30,720 --> 00:29:33,040
that's embedded in the system 
that Shift 4 has created. 

519
00:29:33,040 --> 00:29:36,760
And so I think that's just a 
very interesting concept. 

520
00:29:36,760 --> 00:29:41,600
And there's a, there's a, we, we
own a small position in Duolingo

521
00:29:41,600 --> 00:29:44,360
also, which has been a pretty 
controversial business to talk 

522
00:29:44,360 --> 00:29:47,240
about, but it's, it's by all 
means an excellent business. 

523
00:29:48,560 --> 00:29:50,680
The stock keeps going down, 
which is interesting. 

524
00:29:51,560 --> 00:29:54,760
They've done a little bit of a 
strategy shift lately and, and 

525
00:29:54,840 --> 00:29:58,480
we can talk about that, but 
they, they are involved in some 

526
00:29:58,480 --> 00:30:02,160
of the same dynamics where the, 
the business didn't even really 

527
00:30:02,160 --> 00:30:04,040
start out as a commercial 
product. 

528
00:30:04,120 --> 00:30:07,640
And, and was, was just something
that where the founder, who's 

529
00:30:07,640 --> 00:30:11,280
very engineer based and he's a 
PhD from Carnegie Mellon, was 

530
00:30:11,280 --> 00:30:13,960
just very interested in how you 
can help people learn a language

531
00:30:13,960 --> 00:30:17,200
more easily or learn anything. 
And they were almost anti 

532
00:30:17,200 --> 00:30:20,200
commercial for a very long 
period of time since the 

533
00:30:20,200 --> 00:30:22,360
inception of the business. 
And then finally took on some 

534
00:30:22,360 --> 00:30:25,640
outside capital and decided to 
go public and saw a real 

535
00:30:25,640 --> 00:30:26,880
opportunity there. 
And it's an, it's an 

536
00:30:26,880 --> 00:30:29,480
unbelievable business. 
You know, they're growing 30% a 

537
00:30:29,480 --> 00:30:32,200
year. 
They, they've got 35% free cash 

538
00:30:32,200 --> 00:30:36,440
flow margins. 
And the interesting part about 

539
00:30:36,440 --> 00:30:38,720
that business is that they 
wouldn't have made it. 

540
00:30:38,920 --> 00:30:43,320
It, it's a consumer application 
business where they're 

541
00:30:43,440 --> 00:30:47,000
basically, if you're not 
familiar, it's an app that you 

542
00:30:47,000 --> 00:30:52,480
can use to learn a language. 
And what you see today, this 

543
00:30:52,480 --> 00:30:56,560
very easy to use, gimmicky, 
almost cartoonish sort of app is

544
00:30:56,560 --> 00:31:02,440
the result of a decade plus of 
iteration and AB testing and 

545
00:31:02,720 --> 00:31:06,240
trying to solve these problems 
for how people learn best, how 

546
00:31:06,240 --> 00:31:09,960
to keep them engaged and what 
will keep them coming back to 

547
00:31:09,960 --> 00:31:12,840
this thing that is very 
different from a Spanish class 

548
00:31:12,840 --> 00:31:15,720
in high school or college or 
even some of the other learning 

549
00:31:15,720 --> 00:31:18,360
software that's out there like 
Rosetta Stone or Language 

550
00:31:18,360 --> 00:31:21,240
Transfer, etcetera. 
And so the answer is kind of 

551
00:31:21,240 --> 00:31:24,280
what people often talk about 
Duolingo being disrupted by AI 

552
00:31:24,280 --> 00:31:26,120
and how the barriers to entry 
are low and there's lots of 

553
00:31:26,120 --> 00:31:28,040
competition. 
But I think that misses the 

554
00:31:28,040 --> 00:31:35,360
point because Duolingos users 
solve 1.3 billion puzzles per 

555
00:31:35,360 --> 00:31:38,440
day on the app, which is an 
advantage that can't be 

556
00:31:38,440 --> 00:31:40,200
replicated. 
And they've scaled the business 

557
00:31:40,200 --> 00:31:44,120
to 150 million daily active 
users. 

558
00:31:44,120 --> 00:31:49,720
And there's, and they did it 
with almost no, no marketing 

559
00:31:49,720 --> 00:31:52,200
spend, like they spend like 10% 
of their revenues on marketing. 

560
00:31:52,640 --> 00:31:55,880
And so they've created this 
unbelievable brand, I'll call 

561
00:31:55,880 --> 00:31:59,240
it, but also sort of flywheel of
engagement and new user growth 

562
00:31:59,480 --> 00:32:01,200
and people that are familiar 
with the business. 

563
00:32:01,200 --> 00:32:04,760
And they did so at such a low 
cost because they are, it's 

564
00:32:04,760 --> 00:32:08,960
really a business of engineers 
and they figured out how to keep

565
00:32:08,960 --> 00:32:12,360
people engaged for a very low 
cost, a very favorable customer 

566
00:32:12,360 --> 00:32:16,120
acquisition and how to grow this
sort of DAU flywheel that they 

567
00:32:16,120 --> 00:32:18,040
have over time. 
Like once you join the app, 

568
00:32:18,160 --> 00:32:21,200
you're kind of locked in, at 
least for the most part. 

569
00:32:21,200 --> 00:32:23,880
And so why is that? 
What's that? 

570
00:32:24,280 --> 00:32:27,000
Why is that? 
Well, there's a number of 

571
00:32:27,000 --> 00:32:32,760
reasons, but they have they have
figured out, they have created 

572
00:32:32,760 --> 00:32:36,880
the most habit forming education
application that I've ever seen 

573
00:32:37,040 --> 00:32:40,960
in my life. 
And their, their engagement 

574
00:32:40,960 --> 00:32:44,600
metrics rival that of Meta and 
some and Roblox and some of the 

575
00:32:44,600 --> 00:32:48,040
other really large consumer 
application businesses because 

576
00:32:48,040 --> 00:32:53,440
they have made the, the learning
of language almost gamified. 

577
00:32:53,440 --> 00:32:57,640
They have created this really 
interesting dynamic where you 

578
00:32:57,640 --> 00:33:01,920
feel like you are being 
productive and you are, once you

579
00:33:01,920 --> 00:33:04,520
Start learning a language, you, 
you begin a streak. 

580
00:33:04,520 --> 00:33:07,520
And keeping up with this daily 
streak has been really important

581
00:33:07,640 --> 00:33:10,320
to users and you reach certain 
milestones. 

582
00:33:10,320 --> 00:33:13,200
And it's very different from all
the other language apps that 

583
00:33:13,200 --> 00:33:16,600
I've tried and I've studied and 
they've, you know, it's, it's 

584
00:33:16,600 --> 00:33:19,640
very difficult to even explains 
a little bit, but it's, they've 

585
00:33:19,640 --> 00:33:22,200
really figured out how to keep 
people engaged in this app. 

586
00:33:22,200 --> 00:33:24,360
And they've also figured out how
to do it while growing the 

587
00:33:24,360 --> 00:33:29,400
business. 
And they've run, you know, 1516 

588
00:33:29,400 --> 00:33:33,400
thousand or so AB tests per day 
about what works, what keeps 

589
00:33:33,400 --> 00:33:36,040
people engaged, how to limit 
churn, what works in terms of 

590
00:33:36,040 --> 00:33:39,360
monetization and just, you know,
putting that all together, it 

591
00:33:39,360 --> 00:33:41,640
becomes outside of how fast 
they're growing or what 

592
00:33:41,640 --> 00:33:43,920
competitors are doing. 
It becomes a very interesting 

593
00:33:44,200 --> 00:33:46,520
exercise. 
And if you wanted to replicate 

594
00:33:46,680 --> 00:33:49,800
this business, you would have to
figure out how to scale to that 

595
00:33:49,800 --> 00:33:53,360
daily active user base with very
limited capital while building a

596
00:33:53,360 --> 00:33:57,000
brand that people know and are 
familiar with and make it fun 

597
00:33:57,000 --> 00:33:59,320
and, and educational and 
gamified. 

598
00:33:59,480 --> 00:34:01,320
And so that people keep coming 
back to the app. 

599
00:34:01,320 --> 00:34:05,920
And so that's a very interesting
sort of intractable problem that

600
00:34:05,920 --> 00:34:07,760
I'll call. 
And it's something that they've 

601
00:34:07,760 --> 00:34:10,639
really figured out where the 
data that they're bringing in 

602
00:34:10,639 --> 00:34:15,040
from their application, as they 
learn more, their advantages get

603
00:34:15,040 --> 00:34:18,480
stronger because instead of, you
know, repeat integration, like 

604
00:34:18,480 --> 00:34:21,719
just bringing on a user in a 
vacuum, it's cumulative 

605
00:34:21,719 --> 00:34:24,960
learning, which should compound 
over time about what works, what

606
00:34:24,960 --> 00:34:28,600
people like, what allows people 
to learn a language faster. 

607
00:34:28,760 --> 00:34:31,080
They can then translate that to 
other subjects, like they've 

608
00:34:31,080 --> 00:34:33,560
introduced music and piano 
lessons and things like that on 

609
00:34:33,560 --> 00:34:34,679
the app. 
Oh, interesting. 

610
00:34:35,080 --> 00:34:38,960
Yeah, and so anyway, I I've gone
on about Duolingo, but. 

611
00:34:38,960 --> 00:34:40,480
No, I think that's really 
interesting. 

612
00:34:40,480 --> 00:34:43,880
I mean, I mean, to your point, 
I, I believe you said like the 

613
00:34:43,880 --> 00:34:46,760
puzzles were, were something 
that can't be replicated. 

614
00:34:47,159 --> 00:34:52,800
And my mind sort of went like, 
well, the puzzle itself could be

615
00:34:52,800 --> 00:34:54,159
replicated right? 
Like that. 

616
00:34:54,159 --> 00:34:56,760
But that's, that's not the 
insight. 

617
00:34:56,760 --> 00:35:03,720
The insight is the, the culture 
of AB testing and trying to 

618
00:35:03,720 --> 00:35:06,360
think about what's the most 
effective way to help people 

619
00:35:06,360 --> 00:35:11,240
learn this and then developing a
puzzle and then looking at how 

620
00:35:11,240 --> 00:35:15,080
the, the user behavior is 
changing. 

621
00:35:15,080 --> 00:35:18,720
Like, that's the stuff that's 
really, really easy to say can 

622
00:35:18,720 --> 00:35:22,360
be replicated, but really hard 
to actually replicate because it

623
00:35:22,360 --> 00:35:26,280
requires a way of being in order
to replicate it. 

624
00:35:27,760 --> 00:35:30,560
I agree with that. 
And there's also a path 

625
00:35:30,560 --> 00:35:34,320
dependence and kind of 
evolutionary selection there 

626
00:35:34,320 --> 00:35:36,440
too. 
And I feel this way with another

627
00:35:36,440 --> 00:35:39,520
one of our businesses and Kits 
eye care is that, you know, 

628
00:35:39,520 --> 00:35:44,000
Duolingo was not AVC funded. 
Let's capture this massive Tam 

629
00:35:44,000 --> 00:35:46,640
of language learning and throw a
bunch of money at it. 

630
00:35:46,640 --> 00:35:49,000
And we'll monetize the crap out 
of everything. 

631
00:35:49,000 --> 00:35:53,280
And we'll, we'll make our money 
back down the road when we get 

632
00:35:53,280 --> 00:35:56,200
the kak LTV thing, right? 
And we'll just again, funnel, 

633
00:35:56,200 --> 00:35:58,320
funnel a bunch of money into 
marketing and make it work. 

634
00:35:58,880 --> 00:36:02,760
It was the the founder of the 
business, a guy named Louis von 

635
00:36:02,760 --> 00:36:05,200
Ahn, is again APHD from Carnegie
Mellon. 

636
00:36:05,760 --> 00:36:09,200
He founded CAPTCHA. 
You know the the verification 

637
00:36:09,200 --> 00:36:09,480
app? 
Yeah. 

638
00:36:09,680 --> 00:36:11,400
Yeah, yeah. 
And he sold it to Google. 

639
00:36:11,400 --> 00:36:13,760
I can't remember the year, but 
he made a bunch of money before 

640
00:36:13,760 --> 00:36:16,000
starting Duolingo. 
And then he founded the business

641
00:36:16,000 --> 00:36:18,160
with one of his PhD students at 
Carnegie Mellon. 

642
00:36:18,720 --> 00:36:21,600
And so from day one he was a, 
he's a very long term thinker. 

643
00:36:21,800 --> 00:36:25,120
He's an owner operator and he 
wasn't worried about, I think 

644
00:36:25,120 --> 00:36:28,640
like what most maybe VC type of 
businesses are worried about, 

645
00:36:28,640 --> 00:36:31,360
which is monetization. 
It's almost like had to, I think

646
00:36:31,360 --> 00:36:34,160
early backers of the company had
to figure out if he was allergic

647
00:36:34,160 --> 00:36:37,400
to money, so to speak. 
And he just what he just was 

648
00:36:37,400 --> 00:36:39,440
just did monetization for a very
long time. 

649
00:36:39,760 --> 00:36:43,600
And that's very interesting to 
me because early constraints in 

650
00:36:43,600 --> 00:36:46,760
a business, I think determine 
what a company becomes good at 

651
00:36:46,920 --> 00:36:50,840
and funding is not neutral. 
I think it shapes behavior a lot

652
00:36:50,840 --> 00:36:54,840
and V CS, VC capital or venture 
capital in my view. 

653
00:36:55,280 --> 00:36:57,680
I'm not an expert so take this 
with a grain of salt. 

654
00:36:57,880 --> 00:37:01,880
I think works best in sort of 
tractable, easily solvable. 

655
00:37:01,880 --> 00:37:05,240
We can throw money at this 
winner take most markets, but 

656
00:37:05,240 --> 00:37:08,240
something like Duolingo or 
integrating payments and 

657
00:37:08,240 --> 00:37:13,600
software and hardware or 
manufacturing eyeglasses for 1/3

658
00:37:13,600 --> 00:37:16,400
of the price that their 
competitors do and still being 

659
00:37:16,400 --> 00:37:19,840
profitable on them, that that is
an intractable problem that 

660
00:37:19,840 --> 00:37:23,360
funding alone can't solve. 
And so I like to find these 

661
00:37:23,360 --> 00:37:27,200
businesses where they have these
constraint driven advantages 

662
00:37:27,200 --> 00:37:33,920
where either either self 
self-imposed or just because for

663
00:37:34,000 --> 00:37:37,160
of resources where they're 
unable to spend and that forces 

664
00:37:37,160 --> 00:37:39,880
different solutions. 
And those solutions often look 

665
00:37:40,120 --> 00:37:43,480
inferior early or and and 
superior later, which is very 

666
00:37:43,480 --> 00:37:46,240
interesting to me. 
And so there's a couple 

667
00:37:46,320 --> 00:37:48,200
businesses that fit that theme 
in the portfolio. 

668
00:37:48,200 --> 00:37:51,240
But I think you're right, it's 
there's a path dependence there 

669
00:37:51,240 --> 00:37:53,360
that would be very difficult to 
replicate. 

670
00:37:53,360 --> 00:37:56,280
Not that people can't create 
another language learning app or

671
00:37:56,400 --> 00:38:00,080
that AI can't help as well, but 
I think I see this narrative a 

672
00:38:00,080 --> 00:38:01,960
lot where it's like Duolingo 
doesn't bring you to full 

673
00:38:01,960 --> 00:38:05,080
fluency and that's fine, but 
that misses the point in my 

674
00:38:05,080 --> 00:38:06,440
view. 
I don't think that is the point.

675
00:38:06,440 --> 00:38:08,760
I think the point is they 
figured out how to keep people 

676
00:38:08,760 --> 00:38:12,600
engaged in the same way that 
watching reels on meta all day 

677
00:38:12,720 --> 00:38:15,160
keeps people engaged. 
The utility there is. 

678
00:38:15,160 --> 00:38:17,800
I'm not comparing Duolingo to 
Meta, but the utility there is 

679
00:38:17,800 --> 00:38:21,640
very low in my opinion, whereas 
at least I think that's I think 

680
00:38:21,640 --> 00:38:23,400
you can. 
Objectively say it's low 

681
00:38:23,400 --> 00:38:25,560
utility. 
I don't know why. 

682
00:38:25,560 --> 00:38:27,760
I don't know that we have to 
call that opinion on this show. 

683
00:38:28,280 --> 00:38:28,920
Sure. 
All right. 

684
00:38:28,920 --> 00:38:30,480
Fair enough. 
We're not we're not. 

685
00:38:30,760 --> 00:38:34,000
We're not judging those that 
want to use the some of their 

686
00:38:34,000 --> 00:38:37,360
time in a lower utility manner. 
We're just saying that if you're

687
00:38:37,360 --> 00:38:40,960
flipping through looking at 
hedonistic things, it's probably

688
00:38:40,960 --> 00:38:45,200
not as good for your mental 
ability as learning a language. 

689
00:38:45,200 --> 00:38:48,080
That's that's the only comment. 
Correct. 

690
00:38:48,160 --> 00:38:52,800
You said it, not me. 
It's the easier to monetize 

691
00:38:52,800 --> 00:38:57,000
hedonism though, but that's it. 
That's really interesting the 

692
00:38:57,160 --> 00:39:02,360
your point on not not bringing 
people to fluency. 

693
00:39:03,560 --> 00:39:06,240
My kid is trying to learn a 
language now. 

694
00:39:06,280 --> 00:39:09,600
He's not going to get fluent. 
It's actually on Duolingo, but I

695
00:39:09,600 --> 00:39:12,600
kind of view it as well. 
He might get fluent, but that'll

696
00:39:12,600 --> 00:39:15,400
be from speaking to his mother, 
not the, the language. 

697
00:39:15,720 --> 00:39:21,320
But I, I kind of, I like that 
he's exercising his brain in a 

698
00:39:21,320 --> 00:39:22,920
way that I think builds the 
muscle. 

699
00:39:22,920 --> 00:39:27,360
I don't really care about the 
end outcome, you know? 

700
00:39:27,360 --> 00:39:30,520
Like, I mean, I don't know, 
eventually that muscle being 

701
00:39:30,520 --> 00:39:33,240
exercised will benefit him in 
some way, shape or form. 

702
00:39:34,800 --> 00:39:38,560
So that's interesting. 
The current I, I would agree 

703
00:39:38,560 --> 00:39:42,160
with that. 
I've put my 4 1/2 year old 

704
00:39:42,160 --> 00:39:46,840
daughter on to Duolingo and she 
loves it and it's very gamey to 

705
00:39:46,840 --> 00:39:48,560
her. 
And so that's, that's been fun 

706
00:39:48,560 --> 00:39:51,960
to just watch. 
As a side note, but to set the 

707
00:39:51,960 --> 00:39:55,120
stage here and and I'm not 
pitching the stock just to 

708
00:39:55,360 --> 00:39:59,320
provide some context, the sort 
of debate now Duolingo stock is 

709
00:39:59,320 --> 00:40:01,760
down significantly from last 
year and they were growing 

710
00:40:01,760 --> 00:40:05,680
really, really fast and they 
were Daus were, were growing 

711
00:40:05,680 --> 00:40:08,680
significantly during the past 
couple of years and they were 

712
00:40:08,680 --> 00:40:12,320
monetizing really nicely. 
And this current debate, I 

713
00:40:12,320 --> 00:40:14,960
believe around the business not 
only is that AI will kind of 

714
00:40:14,960 --> 00:40:20,720
disrupt their advantages, but 
also that they're in the middle 

715
00:40:20,720 --> 00:40:23,880
of a strategy shift where they 
are going to focus less on 

716
00:40:23,880 --> 00:40:27,040
monetization and more on what 
they call improving teaching 

717
00:40:27,040 --> 00:40:29,800
outcomes. 
And what I think is behind that 

718
00:40:29,800 --> 00:40:33,560
is that management has, 
management has incorporated AI 

719
00:40:33,560 --> 00:40:36,320
into the app in a big way. 
And what they've realized is 

720
00:40:36,320 --> 00:40:39,280
that as these capabilities get 
better over time, they have the 

721
00:40:39,280 --> 00:40:43,240
opportunity to do a lot more 
things using AI, whether that's 

722
00:40:43,240 --> 00:40:46,960
additional languages or 
improving, excuse me, additional

723
00:40:46,960 --> 00:40:48,960
subjects or improving the 
languages that they are 

724
00:40:48,960 --> 00:40:51,800
teaching. 
And really leaning into becoming

725
00:40:51,800 --> 00:40:56,280
a, an application where you can 
log on or you can sign on and 

726
00:40:56,280 --> 00:41:00,240
have AAI based tutor teaching 
you a language in the same way 

727
00:41:00,240 --> 00:41:02,160
that you would a human. 
Now, obviously we're not there 

728
00:41:02,160 --> 00:41:04,880
yet, but that's the long term 
vision for management. 

729
00:41:05,440 --> 00:41:08,040
And it's, they've sort of 
muddied the short term picture 

730
00:41:08,040 --> 00:41:11,880
in a way by saying that instead 
of focusing on just converting 

731
00:41:11,880 --> 00:41:14,880
every free user to pay that we 
can, we're going to take a step 

732
00:41:14,880 --> 00:41:18,480
back and try to make the app as 
as great as possible and as 

733
00:41:18,480 --> 00:41:21,440
useful as possible. 
That's interesting to me because

734
00:41:21,640 --> 00:41:24,240
the majority of Duolingos users 
are free. 

735
00:41:24,440 --> 00:41:28,080
And one of the things that in 
terms of their advantages, one 

736
00:41:28,080 --> 00:41:29,840
of the things that I think is 
interesting is that they've 

737
00:41:29,840 --> 00:41:33,440
created such a great free 
product that you don't have to 

738
00:41:33,560 --> 00:41:37,200
join a paid tier to get most of 
the advantages of being on 

739
00:41:37,200 --> 00:41:39,840
Duolingo. 
So I would say between 75 and 

740
00:41:39,840 --> 00:41:44,320
80% of what a paid user gets, 
you can, you can get for free on

741
00:41:44,320 --> 00:41:46,800
the app and that's intentional. 
And so right now I think it's 

742
00:41:46,800 --> 00:41:49,720
under 10% of their users are 
monetized and it was growing at 

743
00:41:49,720 --> 00:41:52,520
a nice clip, maybe about half a 
percentage point per quarter 

744
00:41:52,520 --> 00:41:54,760
over the last couple of years. 
So they've done a really good 

745
00:41:54,760 --> 00:41:58,040
job of monetizing and it is 
growing over time, but it's kind

746
00:41:58,040 --> 00:42:02,360
of like a small subset of their 
users subsidized the remaining 

747
00:42:02,360 --> 00:42:04,240
users. 
And I, I think it will probably 

748
00:42:04,240 --> 00:42:07,720
be that way just given the, the 
demographics they target and the

749
00:42:07,720 --> 00:42:12,320
countries that they're in and 
the wealth, the, the income 

750
00:42:12,320 --> 00:42:15,280
statistics in each country and 
how that translates to free 

751
00:42:15,280 --> 00:42:18,480
versus paid users. 
But the interesting thing there 

752
00:42:18,480 --> 00:42:21,800
is that they, they basically 
came out and said, we're going 

753
00:42:21,800 --> 00:42:23,880
to focus on making the app 
better and teaching better. 

754
00:42:23,880 --> 00:42:26,040
And we have these opportunities 
with AI to do this. 

755
00:42:26,280 --> 00:42:28,840
And the market kind of took that
as there's a real problem here. 

756
00:42:29,160 --> 00:42:31,320
DAU growth is going to slow 
considerably. 

757
00:42:31,320 --> 00:42:34,600
It was in the 30 percentage 
range and we have a real issue 

758
00:42:34,600 --> 00:42:36,000
with that. 
And at the same time, the 

759
00:42:36,000 --> 00:42:40,200
business was trading at 5560 
times free cash flow and it was 

760
00:42:40,200 --> 00:42:45,400
growing, you know, 3540% a year.
But when you say 55 times free 

761
00:42:45,400 --> 00:42:47,840
cash flow, when you say well, 
growth might slow a little bit 

762
00:42:47,840 --> 00:42:49,600
on the DAU side. 
Yeah, that does matter. 

763
00:42:49,600 --> 00:42:51,840
People don't like that and 
especially when we're in a 

764
00:42:51,840 --> 00:42:55,400
little bit of bubbly territory. 
And so the stock has come down I

765
00:42:55,400 --> 00:43:00,600
think from you know, 500 or so 
to like a 137 a share today and 

766
00:43:00,600 --> 00:43:03,280
trades at maybe 1314 times free 
cash flow. 

767
00:43:03,280 --> 00:43:05,400
I'm not sure. 
But there's still a real path 

768
00:43:05,400 --> 00:43:08,640
for them to grow 30% from here. 
That's the interesting part is 

769
00:43:08,640 --> 00:43:12,400
that the the CEO came out in the
last call and he said we're 

770
00:43:12,400 --> 00:43:14,880
going to change the strategy up 
a bit and focus less on 

771
00:43:14,880 --> 00:43:16,760
monetization and people went 
crazy. 

772
00:43:17,080 --> 00:43:19,480
But then the CFO on the same 
call, it kind of walked it back 

773
00:43:19,480 --> 00:43:22,000
a little bit and was like, well,
just so you know, this is a 

774
00:43:22,400 --> 00:43:25,240
couple quarter thing and there's
not going to be a real slow down

775
00:43:25,240 --> 00:43:27,560
or step change in the business 
and we should be fine. 

776
00:43:27,560 --> 00:43:29,840
And so it's an interesting 
dynamic to work through. 

777
00:43:29,840 --> 00:43:32,400
I, I really would like to see a 
little bit more evidence 

778
00:43:32,400 --> 00:43:35,600
maturity of the strategy shift 
and what they're doing and to 

779
00:43:35,600 --> 00:43:37,840
make sure that DEU growth 
doesn't fall off a Cliff. 

780
00:43:37,840 --> 00:43:39,920
But that's the current debate 
right now. 

781
00:43:39,920 --> 00:43:43,640
And I think if they get, if they
end up to your point about your,

782
00:43:43,640 --> 00:43:46,400
your kids, there will be a 
point, I believe, whether it's, 

783
00:43:46,440 --> 00:43:50,080
you know, 1020 years from now or
five years from now, where they 

784
00:43:50,080 --> 00:43:54,360
can make the AI product so good 
that it replicates a human 

785
00:43:54,360 --> 00:43:56,600
being. 
And so then, then the, the kind 

786
00:43:56,600 --> 00:43:58,600
of Sky's the limit with 
additional subjects and that 

787
00:43:58,600 --> 00:43:59,960
sort of thing. 
And so I think that's a very, 

788
00:43:59,960 --> 00:44:02,760
it's a very interesting sort of 
long term use case and a long 

789
00:44:02,800 --> 00:44:04,880
longer term investment case for 
the business. 

790
00:44:04,880 --> 00:44:07,600
But yeah, there's, there's, 
there's certainly feeling it 

791
00:44:07,600 --> 00:44:10,520
right now, I think. 
Well, that's that's interesting 

792
00:44:10,520 --> 00:44:14,960
because the founder is a 
teacher. 

793
00:44:15,080 --> 00:44:18,000
Assume I I assume right? 
Unless he's just a researcher at

794
00:44:18,000 --> 00:44:19,160
Carnegie. 
Mellon an engineer? 

795
00:44:19,200 --> 00:44:20,160
I think he's a. 
Teacher. 

796
00:44:20,320 --> 00:44:23,880
Yeah, I mean, his passion is 
helping people learn in this in 

797
00:44:23,880 --> 00:44:33,840
this endeavor. 
Yeah, I he according to the fact

798
00:44:33,840 --> 00:44:36,800
pattern that I understand and I 
may be wrong, but if he's 

799
00:44:36,800 --> 00:44:41,000
wealthy and he's looking for the
best outcomes, it's one of those

800
00:44:41,000 --> 00:44:45,040
situations where, yeah, it's 
almost like an asset liability 

801
00:44:45,040 --> 00:44:48,440
mismatch potentially where the 
shareholder base and the the 

802
00:44:48,440 --> 00:44:52,520
actual controller of the entity 
have slightly different 

803
00:44:52,520 --> 00:44:55,560
incentives. 
But in the long term, they, they

804
00:44:55,560 --> 00:45:00,000
may converge and even the, the, 
the medium to short term pain 

805
00:45:00,000 --> 00:45:02,720
may create a much better long 
term outcome. 

806
00:45:03,240 --> 00:45:07,960
But yeah, that can create some 
indigestion in the short term 

807
00:45:07,960 --> 00:45:11,240
with the stock price. 
But that's how, how you're 

808
00:45:11,240 --> 00:45:15,280
discussing this is one of those 
that's, that's one that I would 

809
00:45:15,280 --> 00:45:17,320
like to have that kind of idea 
on my desk. 

810
00:45:17,320 --> 00:45:18,520
And now I do. 
So thank you. 

811
00:45:18,800 --> 00:45:20,400
I hope you're enjoying this 
conversation. 

812
00:45:21,320 --> 00:45:24,360
I wanted to interrupt the 
program to give you a little 

813
00:45:24,360 --> 00:45:28,960
sense of what Trata may have for
you and I'm going to read you a 

814
00:45:29,080 --> 00:45:35,120
a little excerpt of a transcript
as a 1/21/26. 

815
00:45:35,920 --> 00:45:38,560
The analyst says. 
I don't think of Duolingo as an 

816
00:45:38,560 --> 00:45:41,160
education or an Ed tech in the 
traditional sense. 

817
00:45:41,160 --> 00:45:44,120
I think of it as a habit forming
consumer platform, something 

818
00:45:44,120 --> 00:45:47,880
closer to Spotify or TikTok in 
terms of engagement, but with 

819
00:45:47,880 --> 00:45:49,960
very different monetization 
constraints. 

820
00:45:50,440 --> 00:45:52,720
I don't think the Moat is 
content to me. 

821
00:45:52,880 --> 00:45:55,320
The content could be 
commoditized, it could be built 

822
00:45:55,320 --> 00:45:57,360
by somebody else. 
Especially with generative. 

823
00:45:57,360 --> 00:46:01,160
AII think the Moat is admin 
brand and distribution. 

824
00:46:01,600 --> 00:46:04,960
If you line up Duolingo against 
other consumer apps in terms of 

825
00:46:04,960 --> 00:46:08,320
growth rates, user base, and 
engagement time, I don't know if

826
00:46:08,320 --> 00:46:10,080
it has a peer in those 
categories. 

827
00:46:10,400 --> 00:46:13,360
Roblox is a really good example,
but Roblox hasn't figured out 

828
00:46:13,360 --> 00:46:14,800
how to make money. 
I'm not sure. 

829
00:46:14,800 --> 00:46:18,200
I as a side, I'm not sure I 
agree with that, but I digress. 

830
00:46:18,680 --> 00:46:21,960
Duolingo has significant 
operating leverage and it's 

831
00:46:21,960 --> 00:46:26,040
pretty clean cash flow too. 
As you mentioned, if you break 

832
00:46:26,040 --> 00:46:28,480
that habit loop, I think the 
entire model degrades very 

833
00:46:28,480 --> 00:46:30,680
quickly. 
That's why I'm cautious around 

834
00:46:30,680 --> 00:46:33,120
what they're doing. 
Again, these are the kind of 

835
00:46:33,120 --> 00:46:37,880
insights that you can get in try
at Tri Trata go to Tri Trata 

836
00:46:37,880 --> 00:46:41,440
forward slash brew for a free 
trial. 

837
00:46:44,640 --> 00:46:48,760
And once again, the other 
sponsor of the show, fiscal dot 

838
00:46:48,760 --> 00:46:52,320
AI Braden has been a sponsor in 
the past. 

839
00:46:52,320 --> 00:46:56,120
He was one of the OG sponsors. 
He's a sponsor now. 

840
00:46:56,560 --> 00:47:00,480
Fiscal dot AI forward slash brew
gets you 15% off everything. 

841
00:47:00,480 --> 00:47:04,560
They offer high quality data. 
It's they're super fast. 

842
00:47:05,040 --> 00:47:07,480
If you run a business, they 
think that they can save you 

843
00:47:07,480 --> 00:47:09,840
money if you need the data from 
them. 

844
00:47:09,840 --> 00:47:12,600
So I highly encourage you to 
reach out to him and his team. 

845
00:47:13,000 --> 00:47:14,920
I'm trying to help you save 
money. 

846
00:47:14,920 --> 00:47:18,120
He's trying to help you save 
money, help yourself save money.

847
00:47:18,440 --> 00:47:20,400
Fiscal dot AI forward slash 
brew. 

848
00:47:23,640 --> 00:47:26,200
But those those are great 
situations, you know, because 

849
00:47:26,560 --> 00:47:30,800
not only that, like, I don't 
mean to be so I had no idea 

850
00:47:30,800 --> 00:47:33,320
we're going to talk about this, 
but I like these kind of ideas 

851
00:47:33,320 --> 00:47:35,640
because I do think that they 
have a way of making the world 

852
00:47:35,640 --> 00:47:39,240
better too, like in in some way,
right? 

853
00:47:39,240 --> 00:47:41,560
And that's that's positive. 
I feel like having that in your 

854
00:47:41,560 --> 00:47:44,960
life is a good thing, especially
when when you can make money 

855
00:47:44,960 --> 00:47:48,480
doing it. 
Absolutely, I am biased so I 

856
00:47:48,480 --> 00:47:50,120
will I will agree with that 
take. 

857
00:47:50,480 --> 00:47:54,000
But it is a very interesting 
like what whatever your opinion 

858
00:47:54,000 --> 00:48:00,200
is on the stock or, or or the 
product, excuse me, the it's an 

859
00:48:00,200 --> 00:48:02,280
excellent business. 
I mean, there's no denying that.

860
00:48:02,280 --> 00:48:05,920
And now I've really sound like 
I'm talking my book, but you 

861
00:48:05,920 --> 00:48:08,000
know, it's a five and a half 6 
billion market cap. 

862
00:48:08,000 --> 00:48:11,280
There's a billion dollars in 
cash on the balance sheet and 

863
00:48:11,280 --> 00:48:13,520
they're growing, you know, 
there's a path for that for them

864
00:48:13,520 --> 00:48:17,200
to grow 30% per year from here 
and you know, with ridiculous 

865
00:48:17,200 --> 00:48:19,840
free cash flow. 
So the, the setup you described 

866
00:48:19,840 --> 00:48:22,720
earlier with the, with the found
the CEO and founder, it's not my

867
00:48:22,720 --> 00:48:27,040
favorite because you know, a 
they should be buying back stock

868
00:48:27,040 --> 00:48:31,840
right now. 
There's there may be a sort of 

869
00:48:31,840 --> 00:48:34,560
short term, long term mismatch, 
which is OK for me just thinking

870
00:48:34,560 --> 00:48:38,440
about things long term, but 
there are some, the reason why 

871
00:48:38,440 --> 00:48:40,640
it's a smaller position is 
there, there are some dynamics 

872
00:48:40,640 --> 00:48:43,040
that I would like to see play 
out before, you know, really 

873
00:48:43,040 --> 00:48:45,400
diving in here And so, but it, 
but it is an excellent business 

874
00:48:45,400 --> 00:48:48,800
and one that if you would love 
some pushback and criticism on. 

875
00:48:49,400 --> 00:48:52,920
Yeah, yeah. 
And to the listeners, please do 

876
00:48:52,920 --> 00:48:55,920
reach out to Adam with some 
pushback as long as it's 

877
00:48:55,920 --> 00:48:57,920
thoughtful. 
That's interesting, man. 

878
00:48:57,920 --> 00:48:59,120
Well, thank you for sharing 
that. 

879
00:48:59,360 --> 00:49:02,400
I like those Garpy ideas. 
That's that's where I've, I've 

880
00:49:02,400 --> 00:49:06,560
sort of morphed a little bit 
more to, I feel like, and this 

881
00:49:06,560 --> 00:49:09,160
could be wrong. 
I, I skimmed some of your old 

882
00:49:09,160 --> 00:49:11,800
letters. 
It seems to me that you've done 

883
00:49:11,800 --> 00:49:15,360
a little bit more of a cheap to 
quality, growthy type thought. 

884
00:49:15,360 --> 00:49:19,320
Is that a fair characterization 
of your metamorphosis as an 

885
00:49:19,320 --> 00:49:20,800
investor? 
Very. 

886
00:49:21,400 --> 00:49:25,640
So it's what were these lessons 
that the hot stoves you touched 

887
00:49:25,640 --> 00:49:28,480
that changed who you are? 
All right. 

888
00:49:28,480 --> 00:49:31,000
Well, how much time do you have?
We have to extend the the 

889
00:49:31,000 --> 00:49:34,520
podcast and. 
We, we got all the time in the 

890
00:49:34,520 --> 00:49:38,440
world, but you know, like, like 
one that I, I thought was a, a 

891
00:49:38,440 --> 00:49:44,880
pretty interesting example was 
your Libsyn investment to be 

892
00:49:44,880 --> 00:49:48,760
able to, to sort of not hang on 
to the idea that, hey, this is a

893
00:49:48,760 --> 00:49:53,920
hosting platform and podcasts 
are growth, you know, outlook. 

894
00:49:54,040 --> 00:49:56,920
Like it's good to flip on an 
idea when you, when you sort of 

895
00:49:56,920 --> 00:49:59,160
see stuff deteriorate that you 
didn't think. 

896
00:49:59,160 --> 00:50:01,800
And I don't know that that 
necessarily fell into your cheap

897
00:50:01,800 --> 00:50:04,040
basket that that created the 
change. 

898
00:50:04,040 --> 00:50:07,720
But I remember looking at that 
once and I was like, man, this 

899
00:50:07,720 --> 00:50:09,920
looks pretty cheap for the 
growth that might be there. 

900
00:50:09,920 --> 00:50:11,600
And then it just kind of never 
materialized. 

901
00:50:11,600 --> 00:50:13,800
Spotify gobbled up a lot of 
share, I think. 

902
00:50:14,840 --> 00:50:16,360
Yeah. 
Wow. 

903
00:50:16,440 --> 00:50:18,720
That, that, that example, it's 
been so long. 

904
00:50:18,720 --> 00:50:21,240
I I haven't been close to that 
business in a while, so I don't 

905
00:50:21,240 --> 00:50:23,040
know how intelligently I can 
speak about it, but. 

906
00:50:23,040 --> 00:50:25,520
They were my first hosting 
platform, which is why I kind of

907
00:50:25,520 --> 00:50:28,640
got interested in it. 
Yeah, that's interesting. 

908
00:50:28,840 --> 00:50:31,520
I remember there being some 
dynamics with the business 

909
00:50:31,880 --> 00:50:36,000
itself and I think I may have 
been wrong about the economics 

910
00:50:36,000 --> 00:50:39,960
or how competitive the industry 
was and where they would end up.

911
00:50:40,080 --> 00:50:42,400
I I can't remember well you. 
Know what was tough? 

912
00:50:42,400 --> 00:50:47,360
Spotify contacted me and they 
said, you know, basically we're 

913
00:50:47,360 --> 00:50:52,120
releasing video podcasts and all
you have to do in order to have 

914
00:50:52,120 --> 00:50:54,440
a video is move your hosting 
over here. 

915
00:50:54,440 --> 00:50:56,600
And by the way, it doesn't cost 
anything. 

916
00:50:57,200 --> 00:50:59,160
And if you don't, you can't have
video. 

917
00:50:59,760 --> 00:51:02,160
And they I was like, all right, 
well, there you go. 

918
00:51:03,120 --> 00:51:06,280
So that's that's what stole me. 
And I was I went from a paying 

919
00:51:06,280 --> 00:51:08,600
customer to a non paying 
customer. 

920
00:51:08,600 --> 00:51:12,160
Yet I'm sure one day they will 
turn the screws on me. 

921
00:51:12,600 --> 00:51:16,040
But it was that that was a real 
competitive threat that I 

922
00:51:16,040 --> 00:51:18,280
thought changed that. 
Well, the industry is 

923
00:51:18,280 --> 00:51:21,400
interesting to me and the growth
of podcast is interesting and 

924
00:51:21,560 --> 00:51:24,600
they had, I believe, a little 
bit of a competitive advantage 

925
00:51:25,680 --> 00:51:28,920
in some way, just with the, the 
platform and maybe their price 

926
00:51:28,920 --> 00:51:31,080
and ease of use. 
I, I can't remember exactly, but

927
00:51:31,440 --> 00:51:34,680
I, I mean, at the end of the 
day, do you really care? 

928
00:51:34,680 --> 00:51:37,280
Maybe now you do today if you 
have a show like yours, but do 

929
00:51:37,280 --> 00:51:39,600
you really care if you're 
starting a podcast who the host 

930
00:51:39,600 --> 00:51:41,520
is? 
And isn't it more just about 

931
00:51:41,520 --> 00:51:44,440
getting the content out and 
they're taking a lowest price or

932
00:51:44,440 --> 00:51:46,360
however that works? 
I'm not sure you can. 

933
00:51:46,360 --> 00:51:48,120
Yeah. 
I I would argue the lowest price

934
00:51:48,280 --> 00:51:51,080
with the ability to distribute. 
Those are like the two things 

935
00:51:51,080 --> 00:51:53,840
you care about. 
Yeah, and I, I think I remember 

936
00:51:53,840 --> 00:51:57,080
that at some point every hosting
platform just developed the 

937
00:51:57,080 --> 00:52:00,040
capabilities that Libsyn had, 
which maybe were unique early on

938
00:52:00,040 --> 00:52:02,640
and not so much later down the 
road. 

939
00:52:03,040 --> 00:52:04,400
But again, it's, it's been a 
while. 

940
00:52:04,400 --> 00:52:06,760
I can't remember. 
I mean, I hot stoves, I, I've 

941
00:52:06,760 --> 00:52:10,640
touched a lot. 
And there's this entire, you 

942
00:52:10,640 --> 00:52:13,280
know, the past decade plus has 
just been a process of learning 

943
00:52:13,280 --> 00:52:16,800
and evolving and trying to 
update my views on things and 

944
00:52:16,800 --> 00:52:20,120
really dig into my biases and 
where my weaknesses are and try 

945
00:52:20,120 --> 00:52:23,600
to just get better at, you know,
becoming a better portfolio 

946
00:52:23,600 --> 00:52:26,760
manager and analyst and looking 
at companies in a different way.

947
00:52:26,760 --> 00:52:30,000
And that process has just 
naturally led me to higher 

948
00:52:30,000 --> 00:52:31,760
quality, whether it's people or 
business. 

949
00:52:31,760 --> 00:52:35,600
And it is a result of a lot of 
mistakes, but also the result of

950
00:52:35,600 --> 00:52:38,600
just kind of soul searching 
about how I want to run my 

951
00:52:38,920 --> 00:52:41,600
manage my fund. 
And because it's mostly my 

952
00:52:41,600 --> 00:52:44,760
capital, not mostly excuse me, 
because a large percentage of my

953
00:52:44,760 --> 00:52:47,560
net worth is in the fund and I'm
one of the largest investors. 

954
00:52:48,040 --> 00:52:50,720
It's really important to me that
as I was saying earlier that 

955
00:52:50,720 --> 00:52:54,080
this the capital is sort of 
managed in the way that I think 

956
00:52:54,080 --> 00:52:55,880
is correct for the next couple 
of decades. 

957
00:52:56,560 --> 00:52:59,080
And there's just so many 
businesses in the small cap 

958
00:52:59,080 --> 00:53:01,520
space, the micro cap space are 
just in general that can't 

959
00:53:01,520 --> 00:53:05,480
really hit that long term 
compounding escape velocity as 

960
00:53:05,480 --> 00:53:07,880
I'll call it. 
Where you can get a business to 

961
00:53:07,880 --> 00:53:12,200
go from you know 100 million in 
EBITDA to a billion or whatever 

962
00:53:12,200 --> 00:53:15,920
the case is where you can really
get the return, the types of 

963
00:53:15,920 --> 00:53:19,400
returns and sort of long term 
out long term return profile 

964
00:53:19,400 --> 00:53:22,480
that I'm looking for. 
And so I'm looking for those 

965
00:53:22,480 --> 00:53:25,840
types of setups every day and 
trying to view the portfolio and

966
00:53:25,840 --> 00:53:28,120
the businesses that we look at 
in, in light of that. 

967
00:53:28,480 --> 00:53:31,200
But that has just led me away 
almost not intentionally, but 

968
00:53:31,200 --> 00:53:34,680
it's just led me away from kind 
of smaller low quality things. 

969
00:53:34,680 --> 00:53:36,600
And I still find cheap stuff 
everyday. 

970
00:53:36,600 --> 00:53:38,920
I just found something really 
interesting earlier this week 

971
00:53:38,920 --> 00:53:42,560
that will probably, you know, 3 
to 4X and but it's just a, you 

972
00:53:42,560 --> 00:53:45,280
know, piece of crap excuse, you 
know, excuse me to the people 

973
00:53:45,280 --> 00:53:47,760
involved, but it just doesn't 
interest me anymore. 

974
00:53:47,760 --> 00:53:50,800
And so it's more about just 
taking that, you know, trying to

975
00:53:50,800 --> 00:53:55,560
align every piece of my 
temperament and fund and what 

976
00:53:55,560 --> 00:53:57,840
I'm trying to accomplish with 
the types of companies that I 

977
00:53:57,840 --> 00:54:00,120
think make the most sense in the
portfolio. 

978
00:54:00,120 --> 00:54:01,840
And that's really where it's 
it's headed. 

979
00:54:01,840 --> 00:54:04,320
But yeah, certainly the result 
of a lot of mistakes. 

980
00:54:04,320 --> 00:54:08,000
And on the people side too, as I
mentioned, it's just very, very 

981
00:54:08,000 --> 00:54:10,120
difficult to get that one right 
again. 

982
00:54:10,120 --> 00:54:13,800
Sometimes I think think I can 
judge it, not often, but when I 

983
00:54:13,800 --> 00:54:16,240
do, you know, I tend to get it 
very right. 

984
00:54:16,240 --> 00:54:18,560
And when I'm wrong, I tend to 
get it very wrong. 

985
00:54:18,840 --> 00:54:22,880
And just being more cognizant of
that and trying to get behind 

986
00:54:22,880 --> 00:54:24,640
people who have a lot of skin in
the game. 

987
00:54:24,640 --> 00:54:27,760
But again, also have that kind 
of track record of making really

988
00:54:27,760 --> 00:54:30,040
sensible decisions. 
And so, yeah, it's it's 

989
00:54:30,040 --> 00:54:32,840
definitely, if you if you 
started at in 2020 and read 

990
00:54:32,840 --> 00:54:35,440
through five years of letters, 
you would definitely see that 

991
00:54:35,440 --> 00:54:38,520
shift over time. 
And hopefully you know what is, 

992
00:54:38,640 --> 00:54:42,520
what is my writing or whatever 
else has gotten better over time

993
00:54:42,520 --> 00:54:44,840
and my I certainly feel my 
experience and pattern 

994
00:54:44,840 --> 00:54:46,880
recognition has. 
But yeah, you would definitely 

995
00:54:46,880 --> 00:54:49,560
see that evolution over time and
I think it's really benefited 

996
00:54:49,560 --> 00:54:54,280
the portfolio today. 
Yeah, I I think you can see it. 

997
00:54:54,280 --> 00:54:57,920
And the nice thing about having 
writing and keeping it up, or 

998
00:54:57,920 --> 00:55:00,960
in, in my case, having a season,
one that makes me cringe at 

999
00:55:00,960 --> 00:55:03,720
times, I keep it up there to 
sometimes listen and be like, 

1000
00:55:03,720 --> 00:55:07,520
don't be like that guy. 
You know, sometimes you learn 

1001
00:55:07,520 --> 00:55:11,200
and then you move on, right? 
Without, without the learning 

1002
00:55:11,200 --> 00:55:12,880
processes, you can't be where 
you are. 

1003
00:55:13,240 --> 00:55:18,240
The thing I like intuitively 
about the idea of looking for 

1004
00:55:18,240 --> 00:55:22,120
higher quality, especially at 
reasonable valuations, is it 

1005
00:55:22,120 --> 00:55:25,080
does seem like a situation that 
the natural world order should 

1006
00:55:26,040 --> 00:55:31,160
be aligned with and reward 
outside of maybe like some 

1007
00:55:31,160 --> 00:55:35,640
cyclicals that can't be levered.
I think the question of like, 

1008
00:55:35,640 --> 00:55:38,960
why is this thing public is a 
pretty important question to ask

1009
00:55:38,960 --> 00:55:43,000
yourself because you know, I 
don't know if it's like if it's 

1010
00:55:43,000 --> 00:55:47,240
a reasonably good midcap 
something or another, there's 

1011
00:55:47,240 --> 00:55:50,720
chance or pretty decent chance 
of PE fund is looked at it. 

1012
00:55:51,000 --> 00:55:54,000
Not that they're going to buy 
everything, but having some 

1013
00:55:54,000 --> 00:55:57,480
answer for why is this public 
and why should it grow in value?

1014
00:55:57,480 --> 00:56:00,800
I think is a may sound 
elementary, but for a long time 

1015
00:56:00,800 --> 00:56:03,200
I didn't think about that stuff.
I just thought, oh, you know 

1016
00:56:03,200 --> 00:56:04,880
how? 
How cheap does it look? 

1017
00:56:06,520 --> 00:56:08,080
Sure. 
When I'm asking myself that 

1018
00:56:08,080 --> 00:56:11,840
question, it's usually, you 
know, looking staring at a stock

1019
00:56:11,840 --> 00:56:15,520
price that's down 3040% and 
management's not doing anything 

1020
00:56:15,520 --> 00:56:17,600
about it and the business 
doesn't seem to be working or 

1021
00:56:17,600 --> 00:56:20,840
the story is broken. 
But generally speaking, the best

1022
00:56:20,840 --> 00:56:22,200
businesses in the world are 
public. 

1023
00:56:22,200 --> 00:56:26,080
And I'll hang my hat on that. 
I think it's a, it's a, an 

1024
00:56:26,080 --> 00:56:28,160
aspiration to be, I think one of
the best. 

1025
00:56:28,160 --> 00:56:31,800
And a lot of the management 
teams that we invest behind, you

1026
00:56:31,800 --> 00:56:34,760
know, I, I try to look for 
killers sometimes and, or a lot 

1027
00:56:34,760 --> 00:56:37,240
of the times and those people 
are very competitive. 

1028
00:56:37,240 --> 00:56:39,560
And I think this is a great 
space to kind of exercise that. 

1029
00:56:40,200 --> 00:56:43,920
But it has happened. 
I mean, I don't know, I don't 

1030
00:56:43,920 --> 00:56:48,800
have any evidence of this to, to
counter what you said about PE, 

1031
00:56:48,800 --> 00:56:51,560
having looked at it, I'm not 
sure, you know, if that's true. 

1032
00:56:51,880 --> 00:56:56,320
I think what's interesting these
days is what I've found is you 

1033
00:56:56,320 --> 00:56:58,360
mentioned paying a reasonable 
price for quality. 

1034
00:56:59,440 --> 00:57:03,560
It seems like I am finding very 
unreasonable prices like 

1035
00:57:03,920 --> 00:57:07,000
mispricings for quality these 
days just given the current 

1036
00:57:07,000 --> 00:57:09,880
market environment. 
And again, there's once these 

1037
00:57:10,080 --> 00:57:12,480
sort of narratives and stories 
get out about a business and 

1038
00:57:12,480 --> 00:57:15,200
there's a mischaracterization 
that can be a very lucrative 

1039
00:57:15,200 --> 00:57:18,440
source of opportunity. 
And I saw this in the sports 

1040
00:57:18,440 --> 00:57:21,840
world too, where people would 
label a player a certain thing 

1041
00:57:21,840 --> 00:57:25,160
because of the way they looked 
or, you know, how they ran or 

1042
00:57:25,160 --> 00:57:26,680
what their skill set was at the 
time. 

1043
00:57:26,800 --> 00:57:30,120
And take very little into 
account the future, the next 

1044
00:57:30,120 --> 00:57:33,720
1224 months or what this player 
could become over time and 

1045
00:57:33,720 --> 00:57:35,640
really kind of peel back the 
onion to understand that. 

1046
00:57:36,440 --> 00:57:39,200
And that's also part of having 
the importance of having a great

1047
00:57:39,200 --> 00:57:41,760
system or a great management 
team is that you can have 

1048
00:57:41,760 --> 00:57:44,240
someone in charge that ushers 
the business to that next step. 

1049
00:57:44,240 --> 00:57:47,120
Or if the market is not valuing 
it properly, they're going to 

1050
00:57:47,120 --> 00:57:49,560
take really big steps to fix 
that. 

1051
00:57:49,720 --> 00:57:52,200
You know, I mentioned Duolingo 
probably should be buying back 

1052
00:57:52,200 --> 00:57:56,000
stock in the case of shift four,
They just, they just put in 

1053
00:57:56,000 --> 00:57:59,120
place a billion dollar buyback 
program that could take out 20% 

1054
00:57:59,120 --> 00:58:01,040
of the shares. 
They're, they've been talking 

1055
00:58:01,040 --> 00:58:02,920
about. 
I, I believe they are buying 

1056
00:58:02,920 --> 00:58:05,160
back stock now and they've been 
talking about doing so at an all

1057
00:58:05,160 --> 00:58:08,080
time low valuation relative to 
the business progress that 

1058
00:58:08,080 --> 00:58:10,400
they've made. 
And there's other examples in 

1059
00:58:10,400 --> 00:58:12,840
the portfolio as well that the 
management team isn't just 

1060
00:58:12,840 --> 00:58:15,080
sitting on their hands. 
If the market isn't going to 

1061
00:58:15,080 --> 00:58:17,520
recognize the value, they're 
going to take steps to do it 

1062
00:58:17,520 --> 00:58:20,280
themselves and return a lot of 
capital through buybacks at 

1063
00:58:20,280 --> 00:58:22,840
really high free cash flow 
yields and still be able to 

1064
00:58:22,840 --> 00:58:24,520
operate the business and grow 
etcetera. 

1065
00:58:25,360 --> 00:58:28,320
And so, yeah, it's, it's an 
interesting situation, but I, I 

1066
00:58:28,320 --> 00:58:32,360
tend to find I'm staring in the 
face of a mistake when I'm, 

1067
00:58:32,480 --> 00:58:33,920
whenever I'm asking that 
question. 

1068
00:58:34,440 --> 00:58:36,920
And I have been involved in some
kind of broken stories before 

1069
00:58:36,920 --> 00:58:40,600
where I am like this business 
has lost its public market, 

1070
00:58:40,840 --> 00:58:43,240
ruined its public market 
reputation and lost its 

1071
00:58:43,240 --> 00:58:45,240
opportunity to maybe get a fair 
multiple. 

1072
00:58:45,440 --> 00:58:48,480
There's a couple businesses on 
on my watch list right now that 

1073
00:58:49,040 --> 00:58:51,520
are really attractive right now 
in terms of the price. 

1074
00:58:51,520 --> 00:58:56,080
I'm just not sure that, you 
know, they've, I'm not sure 

1075
00:58:56,080 --> 00:58:58,560
whether they have ruined their 
reputation yet, which is not a 

1076
00:58:58,560 --> 00:59:00,360
great place to begin. 
But yeah. 

1077
00:59:00,360 --> 00:59:03,200
So it's it's I asked myself that
too occasionally, but it's 

1078
00:59:03,200 --> 00:59:05,720
usually again staring down the 
barrel of a mistake. 

1079
00:59:06,720 --> 00:59:14,800
How, how do you do the work that
you do and cultivate the network

1080
00:59:14,800 --> 00:59:20,160
that you do and then come to a 
point in an investment decision 

1081
00:59:20,160 --> 00:59:26,680
and try to remove yourself and 
be rational about, OK, what the 

1082
00:59:26,680 --> 00:59:32,480
sunk cost of doing the work 
versus, you know, I assume as 

1083
00:59:32,480 --> 00:59:34,520
you get better and better at 
this, you're finding better and 

1084
00:59:34,520 --> 00:59:37,480
better management teams. 
How, how? 

1085
00:59:37,920 --> 00:59:40,080
And I, this is where the art 
comes in. 

1086
00:59:40,080 --> 00:59:42,720
So I'm not asking for a precise 
answer, but how do you try to 

1087
00:59:42,720 --> 00:59:50,600
think about marrying the soft 
stuff with, you know, I guess 

1088
00:59:50,600 --> 00:59:53,800
your projection of where the 
business is going and not 

1089
00:59:53,800 --> 00:59:58,000
letting all the time of the 
research process influence 

1090
00:59:58,760 --> 01:00:02,440
whether or not you should take a
position or, or something of 

1091
01:00:02,440 --> 01:00:05,560
that nature. 
Like, how do you remain rational

1092
01:00:05,840 --> 01:00:08,960
when your work is so scuttlebutt
intensive? 

1093
01:00:10,640 --> 01:00:15,160
I believe I've gotten better at 
this overtime and focusing on 

1094
01:00:15,160 --> 01:00:19,160
just a few key variables for 
each business and trying my best

1095
01:00:19,160 --> 01:00:21,720
to ignore the noise around it 
has been very helpful. 

1096
01:00:22,080 --> 01:00:26,200
And I, I live a pretty, I guess,
insulated existence. 

1097
01:00:26,200 --> 01:00:27,600
I'm off the grid most of the 
time. 

1098
01:00:27,600 --> 01:00:31,040
I don't look at the news I'm on,
I'm on Twitter X here and there 

1099
01:00:32,040 --> 01:00:35,080
and I, I just try to stay 
focused on the portfolio and 

1100
01:00:35,080 --> 01:00:37,720
then, you know, reading things 
that can help me get better and 

1101
01:00:37,720 --> 01:00:39,760
it with what I'm doing, books or
etcetera. 

1102
01:00:39,760 --> 01:00:44,520
But for some reason, I've always
been able to, I, I haven't, I, 

1103
01:00:44,520 --> 01:00:49,440
I've never had an issue with 
sort of the sunk cost fallacy or

1104
01:00:49,440 --> 01:00:54,280
that bias where if I buy a book 
and three pages in, I don't like

1105
01:00:54,280 --> 01:00:56,560
it, I'll just stop reading. 
It I just did that the other 

1106
01:00:56,560 --> 01:00:57,920
day. 
I was like this thing sucks. 

1107
01:00:57,920 --> 01:01:00,280
I'm not finding out why other 
people like this shit. 

1108
01:01:01,000 --> 01:01:03,440
I I don't know what that is. 
You sound like you have it too, 

1109
01:01:03,440 --> 01:01:05,840
but it applies to investing as 
well. 

1110
01:01:05,840 --> 01:01:10,280
And it doesn't matter to me what
maybe in the past it did, but 

1111
01:01:10,320 --> 01:01:13,160
today it doesn't matter how much
time I spent on a business or 

1112
01:01:13,160 --> 01:01:16,040
how many people I've spoken to 
or the work that I've done. 

1113
01:01:16,680 --> 01:01:20,880
If I feel like disconfirming 
evidence has is now disproving 

1114
01:01:20,880 --> 01:01:23,880
the hypothesis or the investment
thesis I had, I'm out. 

1115
01:01:23,920 --> 01:01:26,400
And or if management does 
something really dumb out of the

1116
01:01:26,400 --> 01:01:29,560
blue, it's very easy to part 
ways. 

1117
01:01:29,560 --> 01:01:32,240
And I don't know what that is, 
but it's been very helpful to 

1118
01:01:32,240 --> 01:01:34,320
develop that. 
I think through reps over the 

1119
01:01:34,320 --> 01:01:36,800
years and just have what a 
friend of mine calls, you know, 

1120
01:01:36,800 --> 01:01:41,320
strong opinions, loosely held. 
And I think that's very 

1121
01:01:41,320 --> 01:01:43,960
beneficial on the portfolio 
management side, obviously 

1122
01:01:43,960 --> 01:01:47,520
because a lot of this is about 
how much you make when you're 

1123
01:01:47,520 --> 01:01:49,640
right and how little you lose 
when you're wrong. 

1124
01:01:49,640 --> 01:01:55,280
And I was, I'm always very 
partial to holding our, I just 

1125
01:01:55,280 --> 01:01:57,080
wrote about this in my Q4 
letter. 

1126
01:01:57,600 --> 01:02:01,000
If things are going OK and the 
business is working well and the

1127
01:02:01,000 --> 01:02:04,080
thesis is on track, I'm partial 
to holding our businesses and 

1128
01:02:04,080 --> 01:02:07,840
sticking around no matter the 
valuation unless it's completely

1129
01:02:07,840 --> 01:02:10,800
egregious or if whatever the 
stock price is doing it. 

1130
01:02:10,800 --> 01:02:15,680
It's it's just been easier for 
me to focus on the business 

1131
01:02:15,680 --> 01:02:18,160
level, performance and metrics 
than anything else. 

1132
01:02:18,160 --> 01:02:22,280
And in the within the walls of 
Greystone, I would say looking 

1133
01:02:22,280 --> 01:02:27,440
at stock prices has almost 0 
measurable value for what's 

1134
01:02:27,440 --> 01:02:31,240
happening and it doesn't always 
feel good if I'm holding 

1135
01:02:31,240 --> 01:02:33,240
something that's going against 
me, but it just doesn't. 

1136
01:02:33,240 --> 01:02:36,720
There's no predictive value 
there or any sort of thing I can

1137
01:02:36,720 --> 01:02:38,720
hang my hat on about what's 
happening here. 

1138
01:02:38,720 --> 01:02:43,200
And so I just try to again, to 
anchor myself to the business 

1139
01:02:43,200 --> 01:02:45,760
performance. 
And that I think is the best way

1140
01:02:45,760 --> 01:02:49,720
for me to stay rational. 
And then that also helps on the 

1141
01:02:49,720 --> 01:02:53,360
portfolio management side where 
if a business is drawing down 

1142
01:02:53,360 --> 01:02:55,720
against me and things are 
looking very good from an 

1143
01:02:55,720 --> 01:02:57,760
operating performance 
standpoint, you know, I can add 

1144
01:02:57,760 --> 01:03:01,240
to the position and, you know, 
kind of do the work that I have 

1145
01:03:01,240 --> 01:03:03,800
to do around that. 
But it's, it's really dynamic. 

1146
01:03:03,800 --> 01:03:06,520
It's a really dynamic process. 
Like you said, this is where the

1147
01:03:06,520 --> 01:03:10,560
art comes in. 
But it's a skill I think that 

1148
01:03:10,560 --> 01:03:12,840
has been honed over a long 
period of time. 

1149
01:03:12,840 --> 01:03:15,880
And I'm still not claiming I'm 
perfect at it, but it's gotten a

1150
01:03:15,880 --> 01:03:18,840
little bit better over time to 
where it's a it's a lot easier 

1151
01:03:18,840 --> 01:03:21,920
for me to suss out what matters 
and to kind of avoid the 

1152
01:03:21,920 --> 01:03:25,200
remaining noise, I think. 
Makes sense. 

1153
01:03:25,840 --> 01:03:27,920
Makes a lot of sense, yeah. 
Does that answer your question? 

1154
01:03:28,120 --> 01:03:30,600
Yeah, I mean, I, you know, I 
just think it's, it's always 

1155
01:03:30,600 --> 01:03:36,400
interesting to, you know, I 
mean, like, like Jake is 

1156
01:03:36,400 --> 01:03:41,640
obsessed with this remaining 
rational, right and, and keeping

1157
01:03:41,640 --> 01:03:45,800
sound decision making it and you
know, I've, I've found I was 

1158
01:03:45,800 --> 01:03:50,360
recently at a a company kin 
sales investor day, you know, 

1159
01:03:50,360 --> 01:03:52,360
and like I, I really like those 
guys. 

1160
01:03:52,400 --> 01:03:56,360
I mean, I, I don't know that I 
love the valuation, but I think 

1161
01:03:56,360 --> 01:03:59,320
that group of people is a unique
group. 

1162
01:03:59,840 --> 01:04:04,360
And I found myself like almost 
fawning a little bit in the room

1163
01:04:04,360 --> 01:04:06,880
and I had to be like, OK, it 
might be time to sit down and 

1164
01:04:06,880 --> 01:04:10,440
write like, why I don't like 
this rather than, you know, sort

1165
01:04:10,440 --> 01:04:13,800
of just iterate, you know, 
cementing good thoughts in my 

1166
01:04:13,800 --> 01:04:16,840
head. 
So I don't, I don't know, I 

1167
01:04:16,840 --> 01:04:22,680
just, I find it interesting to 
just see, see whether or not 

1168
01:04:22,680 --> 01:04:25,640
people have processes or kind of
whether or not they suffer from 

1169
01:04:26,200 --> 01:04:28,840
same endowment biases. 
I, I think we all have certain 

1170
01:04:28,840 --> 01:04:32,280
things that we all intersect on 
and Charlie Munger probably 

1171
01:04:32,280 --> 01:04:34,920
wrote about 22 of them or 
whatever in that one speech. 

1172
01:04:34,920 --> 01:04:37,280
So. 
Well, I, I tend to stick around 

1173
01:04:37,280 --> 01:04:39,480
too long, which is a weakness, I
think. 

1174
01:04:39,480 --> 01:04:42,640
And like I said, I, I may be 
overly patient at times. 

1175
01:04:43,520 --> 01:04:47,280
And I, we just had an example in
the portfolio that I something I

1176
01:04:47,280 --> 01:04:50,000
own for over three years and it 
did not, didn't work. 

1177
01:04:50,000 --> 01:04:54,480
I was wrong and I sold it and it
felt terrible and but I was 

1178
01:04:54,480 --> 01:04:56,840
wrong about the direction of the
business and the economics and 

1179
01:04:56,840 --> 01:04:59,800
how things would unfold. 
And maybe it will go on to to do

1180
01:04:59,800 --> 01:05:02,160
OK. 
Actually the the CEO of that 

1181
01:05:02,160 --> 01:05:04,840
business, I just saw a press 
release this morning where he 

1182
01:05:04,840 --> 01:05:06,880
abruptly stepped down. 
So I have no idea. 

1183
01:05:06,880 --> 01:05:09,040
I have no idea why and what's 
going on there. 

1184
01:05:09,040 --> 01:05:13,480
And so kind of kind of glad, I 
guess post mortem that I that I 

1185
01:05:13,480 --> 01:05:15,600
sold it. 
But yeah, you know, it's a 

1186
01:05:15,600 --> 01:05:18,480
three-year period of just 
frustration and I thought things

1187
01:05:18,480 --> 01:05:20,280
were trending in the right 
direction for a long time. 

1188
01:05:20,280 --> 01:05:23,440
And by the opportunity cost of 
that one decision, it was a 

1189
01:05:23,440 --> 01:05:25,480
large position for a while was a
mistake. 

1190
01:05:25,480 --> 01:05:28,600
And there were other things that
I thought about multiple times 

1191
01:05:28,600 --> 01:05:31,440
replacing it with and this is a 
Better Business and that sort of

1192
01:05:31,440 --> 01:05:32,720
thing. 
And I think I was just overly 

1193
01:05:32,720 --> 01:05:36,560
patient. 
And so it, it happens and the 

1194
01:05:36,640 --> 01:05:39,080
again, the opportunity cost is 
large, but to what you were 

1195
01:05:39,080 --> 01:05:42,040
talking about with Kinsale, I 
don't know that business, but 

1196
01:05:43,360 --> 01:05:45,680
we, you know, I don't think as 
long as you don't let that 

1197
01:05:45,680 --> 01:05:48,280
emotion guide your decision 
making, I'm not that I'm giving 

1198
01:05:48,280 --> 01:05:49,800
you advice, but I think that's 
OK. 

1199
01:05:49,800 --> 01:05:52,080
I mean, we spend so much time on
these companies, you might as 

1200
01:05:52,080 --> 01:05:53,320
well fall in love with some of 
them. 

1201
01:05:53,320 --> 01:05:56,400
And it helps you, you know, hold
them a little bit longer over 

1202
01:05:56,400 --> 01:05:58,240
time. 
And if you feel that way about a

1203
01:05:58,240 --> 01:06:01,160
management team, that to me is a
huge signal. 

1204
01:06:01,320 --> 01:06:05,680
I mean, the last three, the last
three investments that I've 

1205
01:06:05,680 --> 01:06:11,600
made, 3 or 4 have started with 
me listening to an interview or 

1206
01:06:11,600 --> 01:06:14,400
two or three from the CEO and 
just being really impressed. 

1207
01:06:14,400 --> 01:06:17,960
And wow, I didn't know that this
is what this business did and 

1208
01:06:18,440 --> 01:06:19,680
that how they paint the light on
that. 

1209
01:06:19,680 --> 01:06:21,840
And obviously, you know, they're
salesman and they're pitching 

1210
01:06:21,840 --> 01:06:22,840
the company and that sort of 
thing. 

1211
01:06:22,840 --> 01:06:24,240
They're just talking about the 
positives. 

1212
01:06:24,760 --> 01:06:27,640
But I think that's a great place
to start with people and you 

1213
01:06:27,640 --> 01:06:29,200
know, everything else flows from
there. 

1214
01:06:29,200 --> 01:06:31,480
So I that's an interesting 
anecdote or thing that you 

1215
01:06:31,480 --> 01:06:33,720
mentioned. 
Yeah, well, I'm happy to share 

1216
01:06:33,720 --> 01:06:35,280
notes. 
Kinsale is going to be up your 

1217
01:06:35,280 --> 01:06:38,720
alley on on things you like. 
What you may not like is it's an

1218
01:06:38,720 --> 01:06:41,160
insurance company trading at 
five times books so. 

1219
01:06:41,400 --> 01:06:43,120
I do know that. 
That's the only thing I know. 

1220
01:06:43,480 --> 01:06:45,360
Yeah. 
Well, there is a reason. 

1221
01:06:45,840 --> 01:06:48,440
There is a reason whether or not
that whether or not that is too 

1222
01:06:48,440 --> 01:06:51,680
high of a valuation is totally 
debatable and understandable, 

1223
01:06:52,000 --> 01:06:58,160
but it I bring it up a lot. 
Adam Robinson has this thing 

1224
01:06:58,640 --> 01:07:02,440
where he says there's a lot of 
money to be made in things that 

1225
01:07:02,440 --> 01:07:06,000
make no sense and things that 
make all the sense in the world.

1226
01:07:06,000 --> 01:07:09,000
Because if your brain is saying 
it makes no sense, you probably 

1227
01:07:09,000 --> 01:07:10,960
don't understand how the world's
looking at it. 

1228
01:07:11,040 --> 01:07:14,520
And if your brain says oh this 
is blatantly obvious like it 

1229
01:07:14,840 --> 01:07:20,240
probably clicks for you, I would
just suggest that as it pertains

1230
01:07:20,240 --> 01:07:24,840
to that particular entity, I I 
believe the premium is assigned 

1231
01:07:24,840 --> 01:07:26,720
to the management team for the 
right reason. 

1232
01:07:26,720 --> 01:07:29,280
It's up to the stock analyst to 
figure out if the premium is too

1233
01:07:29,280 --> 01:07:32,840
high. 
Well, I, I just tweeted this 

1234
01:07:32,840 --> 01:07:36,280
thread the other day about 
circle Buffett's circle of 

1235
01:07:36,280 --> 01:07:37,920
competence and some stuff around
that. 

1236
01:07:38,400 --> 01:07:42,360
And insurance is so far outside 
of my circle of competence. 

1237
01:07:42,400 --> 01:07:46,680
But taking my own advice, I will
spend some time on it because 

1238
01:07:46,680 --> 01:07:48,280
it's important to learn a little
bit more. 

1239
01:07:48,280 --> 01:07:50,760
And it's it's something I've 
never looked at before or spent 

1240
01:07:50,760 --> 01:07:52,240
any time on, but that's. 
Yes. 

1241
01:07:52,240 --> 01:07:55,280
So why did why did you you said 
something along the lines of 

1242
01:07:55,280 --> 01:08:00,040
like his advice of circle of 
competence is some of the most I

1243
01:08:00,040 --> 01:08:03,920
don't I I think what you meant 
is investors have used it in the

1244
01:08:03,920 --> 01:08:06,360
most dangerous way possible or 
something like that. 

1245
01:08:06,360 --> 01:08:08,640
You want to expand on that? 
This would be great for the 

1246
01:08:08,680 --> 01:08:10,440
headlines. 
Yeah, sure. 

1247
01:08:10,440 --> 01:08:11,840
You're. 
You're trying to stir up some 

1248
01:08:11,840 --> 01:08:15,000
stuff now. 
Adam, Will Keats, Buffett, 

1249
01:08:15,000 --> 01:08:19,520
that's the title, yeah. 
Yeah, certainly not going toe to

1250
01:08:19,520 --> 01:08:21,880
toe with the Oracle here. 
I think the advice is excellent.

1251
01:08:22,279 --> 01:08:25,840
The application is has been 
misused or misapplied. 

1252
01:08:25,840 --> 01:08:30,000
And I think what people have 
taken that to mean is that if 

1253
01:08:30,000 --> 01:08:32,640
you don't understand something 
immediately, it should be 

1254
01:08:32,640 --> 01:08:35,240
dismissed as too hard or outside
of my circle. 

1255
01:08:35,680 --> 01:08:39,399
Whereas a lot of money has been 
made, at least from me, I guess,

1256
01:08:39,399 --> 01:08:42,040
in trying to understand things 
that weren't apparent on the 

1257
01:08:42,040 --> 01:08:45,040
surface or that I didn't have 
any experience in prior. 

1258
01:08:45,200 --> 01:08:47,399
And that's our job as investors.
We get paid to learn. 

1259
01:08:47,640 --> 01:08:50,479
And so I think it's really, 
really important to examine all 

1260
01:08:50,479 --> 01:08:53,640
of your biases and all the areas
in which you think are outside 

1261
01:08:53,640 --> 01:08:56,439
of your circle of competence 
relative to the time you have 

1262
01:08:56,439 --> 01:08:59,800
and your your experience and 
what interests you. 

1263
01:09:00,200 --> 01:09:01,600
And just really dig into those 
things. 

1264
01:09:01,600 --> 01:09:04,120
And eventually you will come 
across something that you 

1265
01:09:04,120 --> 01:09:07,279
realize you can't understand. 
And that is not outside of your 

1266
01:09:07,279 --> 01:09:09,359
circle of competence. 
I think most business models can

1267
01:09:09,359 --> 01:09:11,359
be understood. 
They're not, it's not physics, 

1268
01:09:12,160 --> 01:09:13,960
but it's just about kind of 
peeling back the onion. 

1269
01:09:13,960 --> 01:09:17,040
And so I was really just maybe 
trying to stir some stuff up a 

1270
01:09:17,040 --> 01:09:20,680
little bit on Twitter, but it 
was more about just kind of the 

1271
01:09:21,080 --> 01:09:23,920
misapplication of, if I don't 
understand this, I should just 

1272
01:09:23,920 --> 01:09:25,840
throw it aside. 
And that's that they're, they're

1273
01:09:25,840 --> 01:09:28,120
certainly things that belong in 
the two hard pile. 

1274
01:09:28,120 --> 01:09:30,760
Absolutely. 
But that relates more toward 

1275
01:09:31,200 --> 01:09:35,080
assessing the probabilities of 
the outcome, the downside, 

1276
01:09:35,399 --> 01:09:38,720
understanding the skew, the risk
reward, the asymmetry versus 

1277
01:09:38,720 --> 01:09:40,439
like, I just can't understand 
this. 

1278
01:09:40,600 --> 01:09:42,920
You know, I, I've never spent 
time in semis either. 

1279
01:09:43,240 --> 01:09:45,399
I think I could understand it 
after a few hours. 

1280
01:09:45,680 --> 01:09:48,200
You know, on a surface level, 
maybe that's overestimating my 

1281
01:09:48,200 --> 01:09:50,520
own ability, but that's kind of 
what I'm talking about, if that 

1282
01:09:50,520 --> 01:09:52,840
makes sense. 
Yeah, no, it does. 

1283
01:09:52,840 --> 01:09:58,960
And I, I, I tend to agree. 
I I have found there were a lot 

1284
01:09:58,960 --> 01:10:02,160
of Buffett quotes that I read 
when I was young that I was 

1285
01:10:02,160 --> 01:10:03,880
convinced that I knew what they 
mean. 

1286
01:10:03,920 --> 01:10:07,360
And now that I'm older, I can 
see three different meanings in 

1287
01:10:07,360 --> 01:10:10,240
a lot of them. 
And some of them changed for me.

1288
01:10:10,920 --> 01:10:16,920
And the only thing that I tell 
myself now is to, to realize 

1289
01:10:16,920 --> 01:10:20,000
that his words are coming from 
his brain and his brain is 

1290
01:10:20,360 --> 01:10:22,840
different from mine and probably
crisper. 

1291
01:10:23,240 --> 01:10:27,640
So, you know, figure, figure it 
out for yourself. 

1292
01:10:27,640 --> 01:10:33,560
And and I guess he'd he'd the 
the Oracle's words, but don't 

1293
01:10:33,560 --> 01:10:37,320
maybe maybe don't apply them 
literally as as I understood 

1294
01:10:37,320 --> 01:10:39,400
them when I was young, is what I
try to tell myself. 

1295
01:10:40,160 --> 01:10:42,600
There are. 
That's really interesting you 

1296
01:10:42,600 --> 01:10:44,360
said that. 
I just thought about this the 

1297
01:10:44,360 --> 01:10:47,440
other day. 
The longer you do this, the more

1298
01:10:47,440 --> 01:10:49,520
his quotes make sense. 
Like true. 

1299
01:10:49,520 --> 01:10:51,600
You truly understand what he 
meant by that. 

1300
01:10:51,600 --> 01:10:53,640
Maybe not exactly because like 
you said, they came from his 

1301
01:10:53,640 --> 01:10:55,640
brain. 
I mean I'm sure when I'm 60 I'm 

1302
01:10:55,640 --> 01:10:57,880
going to look back and be like 
my 40 year old self didn't 

1303
01:10:57,880 --> 01:11:02,040
understand it. 
Exactly, that's my, that's my 

1304
01:11:02,040 --> 01:11:05,720
favorite part of this, this 
business and, and doing this job

1305
01:11:06,080 --> 01:11:09,280
is that there's no, as long as 
your brain works, you can do the

1306
01:11:09,280 --> 01:11:11,160
job. 
And unlike an athlete where, you

1307
01:11:11,160 --> 01:11:14,000
know, father time comes for 
everybody, an athlete might 

1308
01:11:14,000 --> 01:11:17,880
retire when they're the best at 
their sport because their body 

1309
01:11:17,880 --> 01:11:20,160
can't handle it anymore. 
But in investing, there's no 

1310
01:11:20,160 --> 01:11:23,120
such thing. 
And so you should technically 

1311
01:11:23,120 --> 01:11:25,960
get better over time. 
And things will start to have 

1312
01:11:25,960 --> 01:11:29,480
much different meanings and 
applications from a decade or 

1313
01:11:29,480 --> 01:11:31,600
two ago. 
And something you read when you 

1314
01:11:31,600 --> 01:11:34,040
started is very different from 
reading that same thing today. 

1315
01:11:34,040 --> 01:11:37,000
And the way that your pattern 
recognition is triggered based 

1316
01:11:37,000 --> 01:11:40,160
on your experience is very, has 
been a very interesting process 

1317
01:11:40,160 --> 01:11:43,120
to me to go back and read decade
old notes and be like, oh, 

1318
01:11:43,360 --> 01:11:45,640
that's what that means. 
And I didn't really understand 

1319
01:11:45,640 --> 01:11:47,000
it at the time. 
And so that's been one of my 

1320
01:11:47,000 --> 01:11:48,840
favorite parts of this, this 
job. 

1321
01:11:49,280 --> 01:11:55,000
Yeah, yeah. 
I'll, I'll use this to segue to 

1322
01:11:55,400 --> 01:11:59,760
maybe the final sort of part of 
the conversation you had. 

1323
01:11:59,760 --> 01:12:02,640
You had mentioned NRP as 
something to look into. 

1324
01:12:02,680 --> 01:12:07,640
I have looked into it. 
I do own it, but I am a little 

1325
01:12:07,640 --> 01:12:11,320
bit concerned when I hear Elon 
Musk saying that solar could 

1326
01:12:11,440 --> 01:12:15,320
power the entire United States 
with 100 by 100 miles square and

1327
01:12:15,320 --> 01:12:19,520
batteries can do it all. 
And then I hear Vaclav smell in 

1328
01:12:19,520 --> 01:12:22,240
my ear saying this takes a lot 
longer than you think. 

1329
01:12:22,560 --> 01:12:25,360
And then I have. 
But Elon is Elon and I don't 

1330
01:12:25,360 --> 01:12:26,640
know that I want to bet against 
him. 

1331
01:12:26,640 --> 01:12:29,800
So curious to hear you riff on 
it. 

1332
01:12:29,800 --> 01:12:32,320
I was out in Houston and met 
with the people there and I do 

1333
01:12:32,320 --> 01:12:36,080
think that the capital 
allocation, I pushed them on 

1334
01:12:36,080 --> 01:12:39,520
buybacks a little bit. 
And their answer to me was, 

1335
01:12:40,000 --> 01:12:45,400
well, if the return of the 
capital to you is a return of 

1336
01:12:45,400 --> 01:12:48,760
capital, I don't know how tax 
advantage to buy back is. 

1337
01:12:49,320 --> 01:12:52,120
To which I said that's a 
rational enough argument to me 

1338
01:12:52,120 --> 01:12:53,760
that I can, I can live with 
that. 

1339
01:12:53,760 --> 01:12:57,960
And it'd be nice if size Cam 
was, if I'm saying Sysicam, 

1340
01:12:57,960 --> 01:13:00,640
Syscam, whatever, it'd be nice 
if that was generating some cash

1341
01:13:00,640 --> 01:13:01,840
again. 
But one day it will. 

1342
01:13:02,400 --> 01:13:05,520
Yeah, for some reason it's 
pronounced shish Cam from what I

1343
01:13:05,520 --> 01:13:07,000
understand. 
I don't know why. 

1344
01:13:08,560 --> 01:13:10,520
Yeah, that's very interesting. 
I had no idea. 

1345
01:13:10,520 --> 01:13:15,120
I, I have also been to Houston 
and to visit with them and I had

1346
01:13:15,120 --> 01:13:16,760
no idea you owned it. 
Interesting. 

1347
01:13:17,120 --> 01:13:20,040
So yeah, the, the one thing I 
would say to that is that the 

1348
01:13:20,040 --> 01:13:22,120
majority of their volumes come 
from met coal. 

1349
01:13:22,120 --> 01:13:24,760
And so there's no replacement 
for met coal. 

1350
01:13:24,760 --> 01:13:27,360
And I'd imagine the world will 
still need lots of met coal 

1351
01:13:27,360 --> 01:13:30,000
moving forward. 
That's a big thing, part of the 

1352
01:13:30,000 --> 01:13:32,840
thesis I'm hanging my hat on. 
And I think the decline of 

1353
01:13:32,840 --> 01:13:36,600
thermal coal is both priced in 
and also very apparent to 

1354
01:13:36,600 --> 01:13:38,160
anybody who's involved in the 
space. 

1355
01:13:38,520 --> 01:13:41,960
And so I hope that, you know, at
some point there will be much 

1356
01:13:41,960 --> 01:13:44,560
cleaner and very different forms
of energy. 

1357
01:13:44,560 --> 01:13:47,800
And so I I look forward to that.
I think. 

1358
01:13:47,800 --> 01:13:52,320
And I think before we get there,
I think there's probably a very 

1359
01:13:52,320 --> 01:13:56,360
long runway of distributions to 
be paid, just given kind of 

1360
01:13:56,360 --> 01:13:58,840
where their volumes are and 
what's happening with pricing 

1361
01:13:58,840 --> 01:14:03,040
and the fact that any clean 
energy forms will take a very 

1362
01:14:03,040 --> 01:14:07,280
long time. 
I think Elon Musk get the is the

1363
01:14:07,280 --> 01:14:11,400
equivalent of Amazon saying 
they're going to enter into this

1364
01:14:11,400 --> 01:14:14,080
or that vertical and all the 
stocks, you know, getting 

1365
01:14:14,080 --> 01:14:17,880
crushed as a result. 
It's very possible that they'll 

1366
01:14:17,880 --> 01:14:21,160
find a niche or two or three or 
fifty that they can dominate and

1367
01:14:21,160 --> 01:14:23,760
do better than everybody else. 
And again, I don't, I would 

1368
01:14:23,760 --> 01:14:27,040
never bet against that guy. 
He's he's he's incredible. 

1369
01:14:27,040 --> 01:14:30,600
But yeah, I think there's a nice
runway before we have to worry 

1370
01:14:30,600 --> 01:14:33,000
about, you know, things being 
becoming obsolete. 

1371
01:14:33,640 --> 01:14:35,960
And again, on the met coal side,
I think it's a really important 

1372
01:14:37,080 --> 01:14:40,280
thing to note is that the 
majority of their volumes will 

1373
01:14:40,280 --> 01:14:41,640
come from met coal in the 
future. 

1374
01:14:42,240 --> 01:14:47,120
And I I think that between shish
camera, sodash recovery and 

1375
01:14:47,120 --> 01:14:51,120
shish Cam distributions picking 
up and then also any efforts 

1376
01:14:51,120 --> 01:14:54,200
around carbon capture, I think 
that's a very interesting offset

1377
01:14:54,200 --> 01:14:57,960
to the thermal coal as well. 
And there's a very, there's a 

1378
01:14:57,960 --> 01:15:02,960
very good case to be made that 
soda ash will make up a pretty 

1379
01:15:02,960 --> 01:15:06,040
decent amount of their 
distributions in the future, not

1380
01:15:06,040 --> 01:15:09,800
anytime soon, but in the future.
And then look, I mean, you know,

1381
01:15:09,800 --> 01:15:12,320
mineral, rare earth minerals, 
I'm not going to pretend like 

1382
01:15:12,320 --> 01:15:14,120
NRP has anything to do with that
right now. 

1383
01:15:14,120 --> 01:15:17,320
But a lot of these rare earth 
elements, I said minerals, 

1384
01:15:17,320 --> 01:15:19,800
excuse me, elements are found in
coal seams. 

1385
01:15:20,000 --> 01:15:22,800
They are expensive to extract 
and it depends on the type of 

1386
01:15:22,800 --> 01:15:25,560
coal, etcetera. 
But there's a very, very 

1387
01:15:25,760 --> 01:15:29,960
significant potential use case 
that in the coal seams within 

1388
01:15:29,960 --> 01:15:34,360
NRPS mineral mineral rights 
properties, there could be 

1389
01:15:34,360 --> 01:15:36,120
additional cash flow 
opportunities there. 

1390
01:15:36,800 --> 01:15:38,120
It there's nothing on the 
surface. 

1391
01:15:38,120 --> 01:15:39,760
They haven't entered in any 
discussions. 

1392
01:15:39,960 --> 01:15:42,160
There's no talk of this at all. 
I just want to be clear about 

1393
01:15:42,160 --> 01:15:43,800
that. 
But it down the road at some 

1394
01:15:43,800 --> 01:15:47,280
point I think with maybe even 
with government involvement did 

1395
01:15:47,280 --> 01:15:50,400
they have 13 million acres of 
mineral rights And that could be

1396
01:15:50,400 --> 01:15:53,440
a very interesting source of 
maybe cheaper rare earth 

1397
01:15:53,440 --> 01:15:56,240
elements than having to source 
them from China or wherever 

1398
01:15:56,240 --> 01:15:57,600
else. 
And there's really only one 

1399
01:15:57,600 --> 01:16:00,520
mine, one key mine in the US, 
which is in California. 

1400
01:16:00,520 --> 01:16:04,640
And the government is already is
already involved in that 

1401
01:16:04,640 --> 01:16:07,200
project. 
And the importance I think of 

1402
01:16:07,200 --> 01:16:09,640
just rare earth elements in 
general can't be overstated. 

1403
01:16:09,640 --> 01:16:11,840
And so that could be an 
additional source of 

1404
01:16:11,840 --> 01:16:13,720
optionality. 
But in the meantime, I think 

1405
01:16:13,720 --> 01:16:16,160
there's a decent runway to 
collect more distributions 

1406
01:16:16,160 --> 01:16:20,560
before any any runoff in net or 
thermal coal. 

1407
01:16:21,600 --> 01:16:25,520
Yeah. 
For me as somebody who wants the

1408
01:16:25,520 --> 01:16:29,680
income, kind of nice to have an 
owner controller that also wants

1409
01:16:29,680 --> 01:16:33,520
to take money out of the entity.
So I feel like there's alignment

1410
01:16:33,520 --> 01:16:36,680
there. 
And I don't know, it's been, 

1411
01:16:36,680 --> 01:16:41,000
it's not like terrible results 
in a not great operating cycle 

1412
01:16:41,000 --> 01:16:44,240
over the past 12 to 18 months. 
So we'll sort of see how it 

1413
01:16:44,240 --> 01:16:45,920
goes. 
I think it's traditionally 

1414
01:16:45,920 --> 01:16:48,480
thought of as a cigar, but it 
would be interesting if a couple

1415
01:16:48,480 --> 01:16:53,640
options hit. 
That's a, that's the beauty of 

1416
01:16:53,640 --> 01:16:57,440
the royalty model in my view is 
that well, prices have actually 

1417
01:16:57,440 --> 01:17:00,240
gone up decently over the last 
couple of months. 

1418
01:17:00,240 --> 01:17:03,200
But where where we were last 
year, that's the beauty of the 

1419
01:17:03,200 --> 01:17:06,880
royalty model where the business
has just been stress tested 

1420
01:17:06,880 --> 01:17:10,240
pretty significantly and is able
to generate significant amounts 

1421
01:17:10,240 --> 01:17:14,200
of cash even at low prices. 
And what's great about these 

1422
01:17:14,200 --> 01:17:16,360
businesses, it doesn't have 
quite have the operating 

1423
01:17:16,360 --> 01:17:18,520
leverage or torque as some of 
the producers do. 

1424
01:17:18,760 --> 01:17:22,440
But you do get to benefit from 
any exuberance in the commodity 

1425
01:17:22,640 --> 01:17:26,760
over time. 
And we saw that in 2021 or 2022 

1426
01:17:26,760 --> 01:17:30,240
with companies like Warrior Met 
Coal and AMR etcetera and 

1427
01:17:30,760 --> 01:17:33,280
Romico. 
And so overtime, there will be a

1428
01:17:33,280 --> 01:17:35,520
point in time, I don't know 
when, but there's a good case to

1429
01:17:35,520 --> 01:17:37,960
be made by the end of the 
decade, prices will be a lot 

1430
01:17:37,960 --> 01:17:39,400
higher. 
Even if they aren't, they'll 

1431
01:17:39,400 --> 01:17:42,040
still generate a lot of cash. 
But if they are, their 

1432
01:17:42,040 --> 01:17:45,360
distributions could go go up 
considerably and that's a really

1433
01:17:45,360 --> 01:17:47,840
interesting part just given what
you're paying for the Business 

1434
01:17:47,840 --> 01:17:50,320
Today. 
Yeah, well, and to the extent 

1435
01:17:50,320 --> 01:17:52,680
inflation is driving prices 
higher, the nice thing about a 

1436
01:17:52,680 --> 01:17:55,720
royalty is you don't actually 
really care all that much. 

1437
01:17:57,120 --> 01:18:02,560
So it'd be interesting to watch.
I was, I have more knowledge 

1438
01:18:02,560 --> 01:18:05,160
about number than I or lumber 
than I would care to have. 

1439
01:18:05,160 --> 01:18:12,080
But Once Upon a time, I I read 
that often the the the economics

1440
01:18:12,080 --> 01:18:15,480
accrue to the stump. 
And when, when I read that, I 

1441
01:18:15,480 --> 01:18:18,040
thought, oh, that's not too 
dissimilar from NRP. 

1442
01:18:18,040 --> 01:18:19,560
So we'll see how it all turns 
out. 

1443
01:18:19,920 --> 01:18:21,920
Well, it's been an interesting 
start to the year. 

1444
01:18:22,440 --> 01:18:26,360
You know, the, a lot of the 
commodity metals mining indexes 

1445
01:18:26,360 --> 01:18:29,960
and, and oil and gas, etcetera 
are up pretty significantly and 

1446
01:18:30,240 --> 01:18:33,440
you've got tech and software and
services down significantly. 

1447
01:18:33,440 --> 01:18:35,400
It's a very interesting 
environment. 

1448
01:18:35,400 --> 01:18:38,800
You know, obviously this is not 
my area of expertise, but people

1449
01:18:38,800 --> 01:18:41,760
think we're in a, you know, 
different monetary regime now 

1450
01:18:41,760 --> 01:18:44,800
and the market's starting to 
reflect that slowly. 

1451
01:18:44,800 --> 01:18:47,960
So it's been, you know, it's not
even February yet and it's just 

1452
01:18:47,960 --> 01:18:50,640
been an interesting, interesting
start to the year. 

1453
01:18:51,040 --> 01:18:53,240
That's right. 
Value investors rejoice. 

1454
01:18:53,680 --> 01:18:57,280
Software investors cry. 
Value investors become software 

1455
01:18:57,280 --> 01:19:00,320
investors. 
Or commodity investors, I'm not 

1456
01:19:00,320 --> 01:19:01,600
sure. 
Yeah, that's right. 

1457
01:19:01,600 --> 01:19:04,040
Well, who knows? 
Just make sure you stick to your

1458
01:19:04,040 --> 01:19:09,000
circle folks while expanding it.
Anyway, man, thank you very much

1459
01:19:09,000 --> 01:19:10,680
for coming on. 
I'm glad that you're a fan of 

1460
01:19:10,680 --> 01:19:11,680
the show. 
It's been it. 

1461
01:19:11,800 --> 01:19:15,480
This is a really nice 
conversation and I hope I, I 

1462
01:19:15,480 --> 01:19:17,040
know that I got something out of
it. 

1463
01:19:17,040 --> 01:19:19,360
So I'm certain some of the fans 
will as well. 

1464
01:19:19,720 --> 01:19:24,320
So I I hope, I hope that we, we 
did a good job kind of show 

1465
01:19:24,400 --> 01:19:28,240
showcasing how you think and, 
you know, maybe get a couple of 

1466
01:19:28,240 --> 01:19:30,600
inbounds from this. 
I always like when that happens.

1467
01:19:31,640 --> 01:19:33,640
That would be great. 
Yeah, I I really appreciate the 

1468
01:19:33,640 --> 01:19:36,280
opportunity and I am a huge fan 
and I hope that you start 

1469
01:19:36,280 --> 01:19:38,760
recording regularly again 
because I really enjoy the show.

1470
01:19:39,440 --> 01:19:42,920
I will do it unless other things
in my life are better. 

1471
01:19:44,080 --> 01:19:46,960
Come on man, there's there's 
fifty $100 million deals out 

1472
01:19:46,960 --> 01:19:48,680
here now they're handing the 
podcasters. 

1473
01:19:49,400 --> 01:19:52,120
Yeah, I well, one, those 
podcasters aren't me. 

1474
01:19:52,120 --> 01:19:55,720
Two, it would require me 
changing my life too much to 

1475
01:19:55,720 --> 01:20:00,000
chase something that I don't. 
What my man Tupac said. 

1476
01:20:00,000 --> 01:20:01,640
All I want is money. 
Fuck the fame. 

1477
01:20:02,840 --> 01:20:07,520
I, I think for a little while 
there I had some small version 

1478
01:20:07,520 --> 01:20:09,680
of fame with none of the money 
and I didn't really like that 

1479
01:20:09,680 --> 01:20:11,800
trade off. 
So I kind of like how things are

1480
01:20:11,800 --> 01:20:14,000
now. 
But I am going to be recording 

1481
01:20:14,000 --> 01:20:16,520
and thank you. 
Thank you for kicking off well. 

1482
01:20:16,960 --> 01:20:18,800
Will Thompson kicked off the 
season. 

1483
01:20:19,040 --> 01:20:22,040
But thank you for being guest 
too and I appreciate it. 

1484
01:20:22,600 --> 01:20:23,760
Absolutely. 
Thank you all. 

1485
01:20:24,400 --> 01:20:57,640
Right man, have a good one. 
None. 

1486
01:21:30,880 --> 01:21:30,960
The.
