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Ladies and gentlemen, welcome to
The Business Brew. 

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I'm your host, Bill Brewster. 
This episode features Elliott 

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Turner of RGA Investment 
Advisors. 

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Elliott is a repeat guest. 
This is his second appearance. 

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You may know him from the Manual
of Ideas podcast. 

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You may know him from some of 
his investment commentary. 

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I know him from a connection 
that I made at Manual of Ideas a

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number of years ago and Elliot 
and I have become friends I'd 

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like to say. 
And I really enjoy speaking with

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him and I think that he brought 
a good perspective to the show 

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in this episode and I hope you 
all enjoy it. 

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An additional disclosure for 
this episode, RGA Investment 

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advisors may own positions in 
the companies discussed. 

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Past performance is not 
indicative of future results. 

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Investing involves risks, 
including the loss of capital. 

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Please remember that the 
securities identified and 

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described throughout this 
podcast do not represent all of 

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the securities RGA Investment 
advisors purchase, sold, or 

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recommended for client accounts.
As a listener, you should not 

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assume that an investment in the
securities identified was or 

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will be profitable. 
As always, nothing in the show 

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is financial advice. 
Please consult an investment 

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advisor before making investment
decisions. 

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Everything in this show is for 
entertainment purposes and 

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educational purposes. 
And do your own due diligence. 

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All right, ladies and gentlemen,
I am happy to be rejoined by 

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Elliot Turner. 
Things have changed quite a bit 

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since our first conversation. 
A couple things have happened in

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the world, but we have seen each
other in the flesh and IRL as 

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the kids say and you know, been 
nice to keep in touch. 

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Thanks for coming back on the 
show. 

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Yeah, Thank you for having me. 
That's definitely one of the 

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better changes, right? 
Getting together in Manhattan at

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awesome events and it's good to 
have this part of our life back.

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Definitely. 
You know, some of the things 

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that have changed since we last 
spoke are not for the better in 

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terms of like my appreciation 
for my own ability to move 

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through challenging market 
environments. 

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But you know, we all live and 
learn along the way. 

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Definitely part of the roller 
coaster that is life. 

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Well, experience is what you get
when you don't get what you 

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want. 
Or something like that. 

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Exactly. 
And, you know, I'd always 

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appreciated the notion that we 
can learn from other people's 

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experience to try to apply it 
well to ourselves. 

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But I do think, you know, given 
what's transpired these last few

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years, I don't think many people
have experience that was 

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directly relatable to what we'd 
all gone through. 

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Yes, that was a bizarre time. 
It was. 

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It was our time to do it on the 
Internet, I suppose. 

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Back in the old days, as my kids
like to say, they asked me if I 

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was born in the old days. 
Define the old days. 

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But anyway, I guess they had 
message boards and stuff in 

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the.com bubble, but the social 
media element was kind of 

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interesting. 
I don't know, man, what? 

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What? 
What have some of your takeaways

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been from all that? 
Yeah. 

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I mean, you know, I think one of
the biggest problems that I had 

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is too much of the portfolio was
trading exactly the same and it 

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all became one thing and I'd 
recognize that, but I didn't act

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on it and it was something I 
thought about. 

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I think it's easier to kind of 
act on when it's to the 

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downside, like when markets are 
all getting hit and you're like,

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well, you know, I know my 
stuff's OK and I'm going to ride

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out the storm. 
It's a lot harder to be 

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conscious of like what you need 
to do to pair things back and 

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sell things down. 
And I think the tax man, we've 

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by and large invest for taxable 
investors, so not pensions and 

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endowments that have the benefit
of not having to think about 

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after tax returns. 
And I'd started thinking a 

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little too much about how I 
could maneuver around minimizing

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tax over the course of time. 
And I think markets do what they

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tend to do, which is they take 
away your flexibility like they 

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take away your best laid plans. 
You can't really think in those 

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terms if it's something that you
feel you need to do and do it. 

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And this was the most meaningful
drawdown I've experienced. 

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And it's one thing to say you're
going to hold some of these 

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positions through drawdown. 
It's another thing to do it when

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it's like several positions all 
acting the same and pulling 

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everything down. 
When it's one position drawing 

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down heavily, markets down and 
the rest of your book is kind of

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like here and there, you know 
some plus, some minus versus the

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market. 
That's a little easier than when

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it's like a lot of things at 
once acting exactly the same and

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are pretty tough. 
So it makes it pretty 

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challenging and puts a different
kind of stress on you 

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personally. 
And I had AI had a take myself 

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away from the situation, like 
force myself to step back a 

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little bit and view me and what 
I was looking at in the markets 

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from afar as opposed to from 
within. 

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And I think that really helped 
and got me to a much better 

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place. 
One of the other ones that I've 

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really honed in on and I think 
we'll probably talk about it as 

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we get into some of the more 
substance substantive rather 

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than philosophical stuff. 
Resiliency, like I underrated 

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how important resiliency was 
from a portfolio, but also from 

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a business perspective. 
I think one of the areas where 

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I'd really witnessed this is 
certain small companies in 

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particular resiliency is just a 
lot more challenging than it is 

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for really large, really diverse
businesses. 

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And I think it happens on every 
dimension from multiple revenue 

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streams to multiple sources to 
operating in multiple 

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geographies. 
And there's no one thing that 

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could actually take you down 
when you're really big and 

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really diverse to the same 
degree that if you're fairly 

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small and you're reliant on one 
supplier, for example, or one 

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factory, when that particular 
geography that your supplier is 

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in experiences a different kind 
of problem than where you're in 

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market that you're actually 
selling to might have. 

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And that kind of resiliency 
created challenges for 

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businesses where they had to 
focus on making things work as 

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opposed to executing on their 
actual business plans. 

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That sort of challenge has real 
consequences. 

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And I was a little too willing 
to give certain companies. 

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I give them the benefit of the 
doubt insofar as it was 

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absolutely one of the hardest 
environments to make decisions 

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within. 
I don't necessarily fault people

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for having made bad decisions, 
for having assumed some degree 

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of demand that came during COVID
would stay to a greater extent 

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than had happened. 
But it's also impossible not to 

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like key in on the fact that 
these companies, the small ones 

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in particular, because they had 
a focus on making things work as

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opposed to making their business
as good as it could possibly be.

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It's a distraction and it's 
something that changes the the 

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course of the business and and 
what they're able to do going 

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forward. 
And so it's not about whether 

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I'm willing to give them 
leniency or not. 

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It's about being realistic and 
acknowledging that when 

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challenges emerge. 
You got to me at least from AP 

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Ms. perspective stress test, how
many companies might face 

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significant like they might be 
fine on top line but the margin 

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pressures that they'd 
experienced can meaningfully 

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change my expectations going 
forward, the market's 

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expectations and what they're 
able to to create going forward.

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So that's been that, that's been
one of the ones that I one of 

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the high level questions I've 
asked myself through this all is

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it's actually more damaging to 
learn the wrong lessons than to 

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take no lessons out of a period 
at all. 

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So I've asked myself to what 
degree is is what we just 

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witnessed something that will 
never happen again that is so 

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atypical where the lessons may 
be wrong ones. 

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But I do think you know the ones
that I'm talking about here, I I

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really think are the right ones 
For me personally. 

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I don't know if everyone would 
share the same ones but for me 

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I'm I'm very confident they're 
the right ones. 

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There's someones that I've mused
about along the way that I don't

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necessarily think as I've more 
fully reflected on things and 

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have a little further removal 
from the heat of the moment. 

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Like I don't necessarily think 
they were the right lessons, but

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time kind of helps give 
perspective. 

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So I've been trying to take 
advantage of that. 

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How did you remove yourself a 
little bit and step back? 

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Yeah, I mean, part of that was I
wasn't giving myself any breaks.

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Like I wasn't letting myself get
away from first thing I'd do in 

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the morning was check quotes. 
I'd start reading like the news 

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on specific things even when 
there was nothing, and trying to

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find explanations for why 
certain things were happening in

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terms of price, action. 
And I also was being like really

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hard on myself. 
Like this is the time to work, 

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work, work. 
And I actually had to one. 

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I created a rule where I don't 
even look at my phone until I 

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get downstairs and my kids are 
taken care of in the beginning 

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of the day, so I have some 
distance before I actually start

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looking at things. 
So. 

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Are you are you suggesting that 
this morning when I woke up at 

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4:00 AM and looked at my phone 
and then couldn't go back to 

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bed, that that was maybe not the
right thing to do? 

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Yeah, yeah, that's the That's a 
tough thing to do, right. 

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I'm. 
Pretty sure I got a 63 on my 

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sleep score. 
That's not terrible. 

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No, it's not failing, but it's 
not great. 

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Yeah, I had a hockey game last 
night. 

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I got a 12 on my sleep score. 
It was not good. 

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Not good. 
My preparedness is kind of on 

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par with the sleep score. 
Good as is mine, so this should 

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be a fantastic podcast. 
Yeah, exactly. 

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I see you got the coffee. 
Rollings right the the 12:30 

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coffee. 
I needed it. 

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Yeah, yeah, I hear ya. 
I I stopped playing some of my 

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hockey games because I'm like, I
need to work. 

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I need to be more focused. 
And actually, I thought that was

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a really bad thing. 
Yeah, in retrospect, probably 

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got to take care of the body 
first. 

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Yeah, yeah. 
So that was one of the 

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commitments I made, right? 
I was like, when this bear 

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market ends, I'm going to be in 
the best shape of my life. 

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And I did start working out a 
lot more. 

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And you know, every day I'd 
sweat, I'd feel more connected 

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to myself and to the world 
around me. 

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And I thought that was one of 
the most effective kind of self 

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help courses I'd taken along the
way. 

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And yeah, I'd, I'd actually 
encourage everyone to do that. 

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And I definitely made myself 
spend more time with the family 

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where I totally not look at my 
phone because I'd find myself 

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stuck in multiple worlds. 
And I think part of that was a 

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function of COVID, because my 
wife and I both work. 

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We had our kids at home during a
good chunk of COVID, and I 

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didn't really have good 
separation between when I was 

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parenting, when I was having 
leisure time and when I was 

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working like everything blurred 
together and creating more 

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distinct silos for each I think 
was super helpful. 

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But I'd totally recommend you 
adopt the Don't look at the 

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phone until like plenty of life 
is underway in the morning, and 

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then everything feels a lot 
better and it's less 

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reactionary. 
And I find also that you know 

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there will be days where you 
wake up and and you're not 

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pleased with certain things that
you see in your inbox or 

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wherever else. 
And it's nice to have had some 

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lighter moments before you 
actually see that stuff. 

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And I do feel you're able to 
deal with it better and with a 

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clearer mind when you don't wake
up with whatever negative is out

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there as your very first 
thought. 

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Yeah, well, Vitali would say 
wake up and write, you know, 

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that's his, That's his version, 
I think, of getting away and 

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getting in his head. 
And I I think that's whatever it

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is. 
I think getting some space 

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between when you start to react 
to the world outside and when 

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you're actually like driving the
world that you want to be is 

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probably a pretty good way to 
start the day. 

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Yeah, yeah. 
I wish I could get myself to get

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up and write. 
I don't remember my dreams well 

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enough and definitely would be 
like a good exercise. 

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And then the kids do wake up and
it's a little too chaotic. 

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So writing isn't the easiest, 
but it's in in it's good to 

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embrace the chaos of the kids. 
Waking up before I deal with any

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even like positive stuff is 
great. 

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Like, I love waking up with good
news too. 

228
00:12:37,320 --> 00:12:39,880
I I don't know why I'm honing in
on the negative like. 

229
00:12:39,880 --> 00:12:42,440
I do this giving it some long 
look. 

230
00:12:42,560 --> 00:12:46,320
It was a very interesting time. 
I certainly had. 

231
00:12:46,320 --> 00:12:49,240
I mean, the cannabis stocks that
I owned were objectively a 

232
00:12:49,240 --> 00:12:51,680
bubble. 
They are objectively destroyed. 

233
00:12:51,680 --> 00:12:55,960
It has not been a very fun 
experience. 

234
00:12:56,480 --> 00:13:00,240
I think I made a number of 
errors entering something like 

235
00:13:00,240 --> 00:13:01,480
that. 
I think there's a lot of areas 

236
00:13:01,480 --> 00:13:03,200
of the market that were like 
that. 

237
00:13:03,720 --> 00:13:07,440
Thankfully, no catastrophic 
mistakes, but it's an 

238
00:13:07,440 --> 00:13:13,080
interesting time to reflect on 
that period because I think that

239
00:13:14,200 --> 00:13:18,880
it is objectively true that 
valuations were very, very high.

240
00:13:19,400 --> 00:13:23,320
I also think you can go back and
check the tape that at least 

241
00:13:23,320 --> 00:13:25,240
like, that's the nice thing 
about doing pods for me. 

242
00:13:25,240 --> 00:13:28,480
I can go back and check what I 
said a lot of the time. 

243
00:13:29,040 --> 00:13:34,160
I felt back then, yes, I could 
sell what I own, but like, what 

244
00:13:34,160 --> 00:13:37,000
am I going to do with this 
money, right? 

245
00:13:37,000 --> 00:13:40,440
It's not as if there's like a 
ton of real estate wasn't super 

246
00:13:40,440 --> 00:13:43,080
cheap, other stocks weren't 
super cheap. 

247
00:13:43,080 --> 00:13:46,640
You can go to cash, you can pay 
the taxes and you can go to 

248
00:13:46,640 --> 00:13:49,680
cash. 
Historically, I don't think 

249
00:13:49,680 --> 00:13:52,160
market timing has turned out 
very well if you have a long 

250
00:13:52,160 --> 00:13:55,720
term time horizon. 
And maybe it was one of those 

251
00:13:55,720 --> 00:13:58,920
times that was so objectively 
obvious that it was truly a 

252
00:13:58,920 --> 00:14:01,080
bubble. 
I think it there's certainly 

253
00:14:01,080 --> 00:14:05,880
were bubbly spots, but I also 
can't help but think that a lot 

254
00:14:05,880 --> 00:14:08,960
of the people that are emphatic 
about that it was a bubble, 

255
00:14:08,960 --> 00:14:11,440
seemed to see 10 out of everyone
bubbles, right? 

256
00:14:11,440 --> 00:14:15,400
So I would argue some of the 
current valuations are as 

257
00:14:15,400 --> 00:14:19,120
confusing to me today as they 
were back then and it probably 

258
00:14:19,120 --> 00:14:21,840
just means I don't have the 
right mental model to understand

259
00:14:21,840 --> 00:14:25,400
them rather than writing it off 
as that's a bubble. 

260
00:14:25,960 --> 00:14:29,880
What I'm trying to do this time 
around is just a hyper focused 

261
00:14:29,880 --> 00:14:33,400
on what I think I know and the 
other recent underperformance 

262
00:14:33,400 --> 00:14:34,840
has been super fun to live 
through. 

263
00:14:34,840 --> 00:14:37,280
But you know, whatever, 
hopefully, hopefully it changes 

264
00:14:37,280 --> 00:14:39,840
and if it doesn't then I can 
always change my ways. 

265
00:14:40,680 --> 00:14:43,560
Yeah, I think you phrased that 
really well, this whole idea 

266
00:14:43,560 --> 00:14:48,360
like it, it probably was not 
everything as a bubble, but like

267
00:14:48,360 --> 00:14:52,000
these pockets distinctly were. 
But I think part of the problem,

268
00:14:52,000 --> 00:14:55,080
one of the things maybe this 
this was a lesson, I don't know 

269
00:14:55,080 --> 00:14:57,960
if it's an enduring one, but 
during that period I noticed a 

270
00:14:57,960 --> 00:15:02,640
lot of people turn to just this 
hyper focus on 2nd derivative. 

271
00:15:03,200 --> 00:15:07,480
And it started with the earliest
months of the COVID crash when 

272
00:15:07,480 --> 00:15:11,800
you're like looking for any 
pocket of anything turning 

273
00:15:11,800 --> 00:15:16,200
upwards. 
And then it kind of continued as

274
00:15:16,200 --> 00:15:18,920
things kept getting better. 
They kept getting better at an 

275
00:15:18,920 --> 00:15:21,240
accelerating rate. 
But once a second derivative 

276
00:15:21,240 --> 00:15:23,840
turned negative, then everything
looked worse. 

277
00:15:24,480 --> 00:15:27,160
You know, people talk about it 
in terms of comps and lapping 

278
00:15:27,160 --> 00:15:29,360
tough comps and it started 
looking more challenging for 

279
00:15:29,360 --> 00:15:32,320
some of the businesses that did 
really well and easier for some 

280
00:15:32,320 --> 00:15:33,760
of the businesses that were most
hurt. 

281
00:15:34,160 --> 00:15:37,600
But I think a lot of this 
chasing the 2nd derivative has 

282
00:15:37,600 --> 00:15:40,720
led to so much momentum chasing 
in markets. 

283
00:15:40,720 --> 00:15:44,880
And I think it's part of why 
like today, I don't know, if you

284
00:15:44,880 --> 00:15:48,240
ask me like are things really 
expensive? 

285
00:15:48,720 --> 00:15:52,040
I feel like, yeah, there are 
absolutely pockets where things 

286
00:15:52,040 --> 00:15:56,120
are really expensive, but there 
are also some very large park 

287
00:15:56,200 --> 00:16:01,800
pockets where things are 
insanely cheap, like relatively 

288
00:16:01,800 --> 00:16:04,720
cheap, cheap on an absolute 
level. 

289
00:16:05,120 --> 00:16:09,520
And there are some really, 
really compelling opportunities 

290
00:16:09,840 --> 00:16:12,160
that are lost in the muck. 
And I know you know it. 

291
00:16:12,360 --> 00:16:16,680
Mario Sabelli's been a a mentor 
of mine and he's talked probably

292
00:16:16,680 --> 00:16:20,800
a little early, but talked a lot
about how this has some 

293
00:16:20,800 --> 00:16:25,840
resemblances to 99 two thousand 
where a lot of people talk about

294
00:16:25,840 --> 00:16:28,680
it as the.com bubble. 
But there was also a large cap 

295
00:16:28,680 --> 00:16:31,640
bubble. 
Stocks like GE and Coke traded 

296
00:16:31,760 --> 00:16:36,200
at insane valuations and 
everything else that wasn't part

297
00:16:36,200 --> 00:16:40,120
of the zeitgeist wasn't one of 
these large caps that that could

298
00:16:40,120 --> 00:16:43,680
do no wrong. ora.com was left 
behind. 

299
00:16:43,760 --> 00:16:45,960
Berkshire was one of those kinds
of stocks at the time. 

300
00:16:46,720 --> 00:16:48,280
I don't think. 
Not now. 

301
00:16:48,280 --> 00:16:51,680
No, no, no, no. 
No, we'll we'll see how forward 

302
00:16:51,680 --> 00:16:53,480
returns look. 
But I think some of them have 

303
00:16:53,480 --> 00:16:56,320
been pulled forward in that one 
and Buffett's laid off the 

304
00:16:56,320 --> 00:16:58,680
buybacks a tad. 
I think he might agree with me. 

305
00:16:59,360 --> 00:17:02,400
Yeah, and Apple's gonna become a
thorny problem if it keeps 

306
00:17:02,400 --> 00:17:04,920
performing this week. 
Or or or maybe they're the 

307
00:17:04,920 --> 00:17:07,359
'cause right 'cause they 
definitely were selling some 

308
00:17:07,359 --> 00:17:08,960
shares toward the end of last 
year. 

309
00:17:09,720 --> 00:17:14,160
I would be remiss to not hear 
Mario's name and at least bring 

310
00:17:14,160 --> 00:17:17,599
up because any time I ask him 
about this, he's like, make sure

311
00:17:17,839 --> 00:17:20,040
that you remember that. 
I think that there's a chance 

312
00:17:20,040 --> 00:17:23,920
that big tech can continue to 
outperform and and they have a 

313
00:17:23,920 --> 00:17:25,960
lot of costs that they could 
take out and there's a lot of 

314
00:17:25,960 --> 00:17:27,520
different ways that they could 
potentially win. 

315
00:17:27,520 --> 00:17:31,920
So I don't want anybody to hear 
this and associate if big tech 

316
00:17:31,920 --> 00:17:35,040
rips don't associate anything 
negative with him. 

317
00:17:35,360 --> 00:17:38,160
And if it doesn't, I said it or 
whatever, I don't know. 

318
00:17:38,160 --> 00:17:40,000
But it's fun talking to him, 
man. 

319
00:17:40,000 --> 00:17:44,440
He started to agitate for change
is probably the best way I know 

320
00:17:44,440 --> 00:17:46,680
how to say it. 
Yeah, a couple of headlines 

321
00:17:46,680 --> 00:17:50,120
lately and he's helped me do 
some work behind the scenes in a

322
00:17:50,120 --> 00:17:53,560
couple places as well. 
I think the environment's really

323
00:17:53,560 --> 00:17:55,760
ripe for that. 
I've seen other young managers 

324
00:17:55,760 --> 00:17:59,400
who are very focused on 
activism. 

325
00:17:59,920 --> 00:18:05,080
And I think there are like 
numerous reasons why now is the 

326
00:18:05,080 --> 00:18:10,720
right time, ranging from just 
there were so many companies 

327
00:18:10,720 --> 00:18:15,680
that came public in 2021 and had
too much cash. 

328
00:18:15,760 --> 00:18:18,960
Like some of those companies are
really interesting to companies 

329
00:18:18,960 --> 00:18:23,320
that use 2021 and the success 
they'd had at the time to 

330
00:18:23,320 --> 00:18:27,360
increase their cost base and try
to capture a growth opportunity 

331
00:18:27,360 --> 00:18:31,320
that changed once we realized 
COVID changes weren't permanent 

332
00:18:31,720 --> 00:18:33,760
but haven't pared back their 
expenses yet. 

333
00:18:33,760 --> 00:18:37,520
Like, those companies need 
discipline and they sometimes 

334
00:18:37,520 --> 00:18:39,480
need the cover of an activist to
get it done. 

335
00:18:39,480 --> 00:18:41,320
They're like we want to make 
these changes, but it's really 

336
00:18:41,320 --> 00:18:43,960
hard because you know, we 
promised this great culture to 

337
00:18:43,960 --> 00:18:46,880
our employees who we can't do 
that without some kind of cover.

338
00:18:47,200 --> 00:18:52,080
Like I still think I look back 
on meta in the Q 3/20/22 report 

339
00:18:52,480 --> 00:18:56,400
and the stock got absolutely 
walloped because people had 

340
00:18:56,400 --> 00:18:59,800
hoped coming into that they'd 
pull back on some spend and 

341
00:18:59,800 --> 00:19:02,960
whatnot and and the stock got 
walloped because they didn't. 

342
00:19:03,360 --> 00:19:05,920
And then a week and a half 
later, they're like, yeah, we're

343
00:19:05,920 --> 00:19:09,680
cutting all these expenses and 
cutting Cap X and everything 

344
00:19:09,680 --> 00:19:12,960
started to suddenly turn right. 
That was the worst it got. 

345
00:19:13,360 --> 00:19:18,520
And I, I wonder if it took the 
cover of a really bad day in the

346
00:19:18,520 --> 00:19:21,840
market in order to say like, 
hey, look, you know, we have 

347
00:19:21,840 --> 00:19:24,760
this letter from prominent 
investor Gerstner at Altimeter 

348
00:19:24,760 --> 00:19:28,200
had had written his letter like,
we need to do this not because 

349
00:19:28,200 --> 00:19:30,840
we think it's the right thing to
do, but because we have to do 

350
00:19:30,840 --> 00:19:33,800
it. 
And I think that hasn't really 

351
00:19:33,800 --> 00:19:36,360
trickled down to some smaller 
companies. 

352
00:19:36,360 --> 00:19:40,240
I I still think some smaller 
companies are stuck with the 

353
00:19:40,240 --> 00:19:44,200
bloat that that stemmed from 
like misshaped COVID beliefs. 

354
00:19:44,600 --> 00:19:46,760
So that that needs some 
activism. 

355
00:19:47,200 --> 00:19:50,360
And then you know, there's a 
certain classic company that 

356
00:19:50,400 --> 00:19:53,560
probably shouldn't even be 
public, that they're in public 

357
00:19:53,560 --> 00:19:56,720
markets, but hey, they shouldn't
be there. 

358
00:19:56,720 --> 00:20:00,560
And so someone's got to stand up
and and say it's time think 

359
00:20:00,560 --> 00:20:04,320
about something different here. 
Yeah, yeah. 

360
00:20:04,960 --> 00:20:08,000
I say this often, but I look 
forward to like three to five 

361
00:20:08,000 --> 00:20:09,560
years from now seeing what 
happens. 

362
00:20:09,560 --> 00:20:13,040
I mean, to your point, Costco is
like the best example of 

363
00:20:13,040 --> 00:20:15,480
something that I've never. 
I've always said it's expensive.

364
00:20:15,480 --> 00:20:18,520
I've never, you know, I've 
always been wrong. 

365
00:20:19,040 --> 00:20:22,520
But I I just at some point it 
seems like it should matter. 

366
00:20:22,520 --> 00:20:25,720
But it does matter. 
And the fact of the matter is if

367
00:20:25,720 --> 00:20:29,920
you're worried about inflation, 
they have a they can get through

368
00:20:29,920 --> 00:20:30,960
it. 
If you're worried about 

369
00:20:30,960 --> 00:20:35,040
protecting real wealth, is a 
high probability that you can 

370
00:20:35,040 --> 00:20:39,400
over time in an entity like 
that, you know, will you have to

371
00:20:39,400 --> 00:20:40,760
incur a drawdown? 
Maybe. 

372
00:20:41,240 --> 00:20:43,520
Is it a get rich stock? 
Probably not. 

373
00:20:43,520 --> 00:20:46,000
Does everything need to be won? 
No, right? 

374
00:20:46,000 --> 00:20:48,240
I mean, I don't know. 
I kind of get it it. 

375
00:20:48,240 --> 00:20:53,200
It bugs me that I haven't owned 
it, but I kind of get it. 

376
00:20:54,360 --> 00:20:58,000
Yeah, but you know, last year at
this time, stocks like Hershey's

377
00:20:58,000 --> 00:21:02,120
and Coke were trading at 
basically their highest PES in 

378
00:21:02,360 --> 00:21:04,560
over 20 years. 
Yeah, that's right. 

379
00:21:05,040 --> 00:21:09,160
And now they're at nearing their
lowest PS in 20 years, right? 

380
00:21:09,920 --> 00:21:12,840
And this all happened with the 
backdrop of, yeah, they're 

381
00:21:12,840 --> 00:21:15,280
resilient. 
They passed on costs. 

382
00:21:15,280 --> 00:21:17,520
So top line growth looks nice, 
right? 

383
00:21:17,520 --> 00:21:20,520
It was as high as it had been in
a couple years talking about 

384
00:21:20,520 --> 00:21:25,240
like the mid to borderline high 
single digits, but their volumes

385
00:21:25,240 --> 00:21:26,880
actually turn negative. 
Yeah. 

386
00:21:27,640 --> 00:21:31,680
And it's like, oh boy, like, is 
that a good thing or is that not

387
00:21:31,680 --> 00:21:36,480
like, to a degree, you know, 
what on the surface looks super 

388
00:21:36,480 --> 00:21:38,600
resilient, actually has some 
cracks in it. 

389
00:21:39,560 --> 00:21:41,880
In the long run, everything's a 
cigarette company. 

390
00:21:43,400 --> 00:21:45,560
Yeah, yeah, singling out the 
sugar companies. 

391
00:21:45,560 --> 00:21:48,160
Sugar's definitely being 
perceived as the new cigarettes 

392
00:21:48,160 --> 00:21:50,840
by some people, but. 
Well, I just mean declining 

393
00:21:50,840 --> 00:21:54,360
volumes, pushing price. 
But so, all right, one thing I 

394
00:21:54,360 --> 00:21:57,360
do want to talk to you and and 
it's kind of hard to go to wrong

395
00:21:57,360 --> 00:22:00,080
lessons. 
Maybe let's let's put a pin in, 

396
00:22:00,080 --> 00:22:04,120
in lessons that you thought 
about but decided were wrong. 

397
00:22:04,120 --> 00:22:08,400
Because I I think that right now
is a good time to bring up an 

398
00:22:08,520 --> 00:22:11,280
interesting idea that I've been 
doing a little bit of work on. 

399
00:22:11,280 --> 00:22:14,560
And I'm very interested to hear 
your take on it because I know 

400
00:22:14,560 --> 00:22:17,320
how much work you've done. 
But we're talking Coke. 

401
00:22:17,840 --> 00:22:20,600
We're talking areas of the 
market that are cheap. 

402
00:22:20,640 --> 00:22:24,080
There's a beverage company out 
there that's not named Celsius. 

403
00:22:24,080 --> 00:22:27,200
That's kind of interesting and I
think you know where I'm going 

404
00:22:27,200 --> 00:22:29,480
with this and I'd be curious to 
hear what you think of a a 

405
00:22:29,480 --> 00:22:32,680
certain London listed beverage 
company that's known for its 

406
00:22:32,680 --> 00:22:36,040
mixer quality. 
Yeah, Fever Tree drinks, right? 

407
00:22:36,240 --> 00:22:39,120
You know, it's a fun product to 
diligence. 

408
00:22:39,720 --> 00:22:43,040
And I you know, I've gotten to 
know this company pretty well 

409
00:22:43,040 --> 00:22:44,880
over the last few years. 
I bought my first shares a 

410
00:22:44,880 --> 00:22:50,480
little too early, but it 
definitely is 1 where I I was 

411
00:22:50,480 --> 00:22:53,360
thinking of Fever Tree in a lot 
of ways when I talked about 

412
00:22:53,360 --> 00:22:55,520
resiliency. 
And kind of thought you were or 

413
00:22:55,520 --> 00:22:57,440
maybe naked. 
Those are the two that I was 

414
00:22:57,440 --> 00:22:58,480
thinking that maybe you were 
thinking. 

415
00:22:58,600 --> 00:22:59,120
Of. 
Yeah. 

416
00:22:59,120 --> 00:23:01,200
And they're more like they're 
more small caps. 

417
00:23:01,200 --> 00:23:04,520
I could name where I really felt
those effects. 

418
00:23:04,520 --> 00:23:06,440
And they're even ones in the 
digital world, right? 

419
00:23:06,440 --> 00:23:08,920
These are very physical 
companies and they made specific

420
00:23:09,360 --> 00:23:12,320
or they had specific problems 
that stemmed directly from how 

421
00:23:12,320 --> 00:23:14,840
challenging the supply chain at 
the time was. 

422
00:23:15,200 --> 00:23:18,920
And I I I think one of the 
things that really intrigues me 

423
00:23:19,480 --> 00:23:25,360
about Fever Tree in particular 
is they have created a market. 

424
00:23:25,760 --> 00:23:30,160
There was no such thing as a 
premium mixer until Fever Tree 

425
00:23:30,160 --> 00:23:34,160
came along and they basically 
use that to build an annuity 

426
00:23:34,160 --> 00:23:38,360
like business in the UK. 
They are the tonic to go with 

427
00:23:38,400 --> 00:23:44,160
basically any kind of gin that's
not low end and they have really

428
00:23:44,160 --> 00:23:48,320
unique position vis A vis the 
incumbents in the space, the 

429
00:23:48,680 --> 00:23:53,960
Schweppes, Seagram's of the 
world where those guys can't 

430
00:23:53,960 --> 00:23:59,480
really compete with a high end 
natural sourced ingredient, 

431
00:23:59,480 --> 00:24:01,280
right. 
There's real quinine in it as 

432
00:24:01,280 --> 00:24:05,800
opposed to some artificial 
flavor that has been pursued to 

433
00:24:05,800 --> 00:24:08,120
optimize margin for the last 30 
years. 

434
00:24:08,680 --> 00:24:13,360
And it's something where 
although the product is premium,

435
00:24:13,640 --> 00:24:16,600
it in and of itself is not a big
ticket. 

436
00:24:17,320 --> 00:24:22,120
So for just a couple dollars, 
which is admittedly more than 

437
00:24:22,120 --> 00:24:27,120
you'd pay for, not premium for 
like a run-of-the-mill brand, 

438
00:24:27,400 --> 00:24:29,400
you can make yourself feel a lot
better. 

439
00:24:29,440 --> 00:24:32,600
I'd heard of this notion called 
the lipstick effect, where in 

440
00:24:32,600 --> 00:24:35,920
recessions even people still 
spend on women still spend a 

441
00:24:35,920 --> 00:24:38,560
lipstick because it's something 
that makes them feel good, even 

442
00:24:38,560 --> 00:24:41,280
if if it's a little expensive. 
You don't cut back on that sort 

443
00:24:41,280 --> 00:24:43,800
of thing. 
And actually I've seen now that 

444
00:24:43,800 --> 00:24:47,240
we've had a period of trade down
in spirits which is happening in

445
00:24:47,240 --> 00:24:51,320
the US where you know inflation 
and I I think aggressive price 

446
00:24:51,320 --> 00:24:53,160
action from some of these 
companies push things a little 

447
00:24:53,160 --> 00:24:55,680
too far. 
You are seeing trade down in 

448
00:24:55,720 --> 00:24:58,680
spirit brands, but you're not 
seeing it in mixer. 

449
00:24:58,680 --> 00:25:00,240
So Fever tree's doing really 
well. 

450
00:25:00,720 --> 00:25:03,840
But back to like where the 
opportunity stems from, Fever 

451
00:25:03,840 --> 00:25:09,000
Tree was a 50% gross margin 
business with 30% operating 

452
00:25:09,000 --> 00:25:15,400
margins before COVID. 
Yeah, And they went to a gross 

453
00:25:15,400 --> 00:25:19,600
margin consistent with their 
operating margin from like. 

454
00:25:19,680 --> 00:25:23,640
So they went down to a 30% gross
margin and a single digit 

455
00:25:24,160 --> 00:25:26,680
operating margin in the past 
year. 

456
00:25:27,640 --> 00:25:33,560
And what happened is everything 
that could go wrong went wrong 

457
00:25:33,840 --> 00:25:36,280
for them on a supply chain 
level. 

458
00:25:36,800 --> 00:25:41,800
The first big problem was that 
they would manufacture their 

459
00:25:42,120 --> 00:25:45,920
drinks for the US market, which 
was their fastest growing next 

460
00:25:45,920 --> 00:25:47,560
biggest market to the UK at the 
time. 

461
00:25:47,560 --> 00:25:49,840
Now it's their biggest market. 
They would they would, they 

462
00:25:49,840 --> 00:25:54,880
would produce the the drink in 
the UK and ship it transatlantic

463
00:25:55,200 --> 00:25:59,280
to the US and those rates went 
sky high. 

464
00:25:59,480 --> 00:26:01,920
Through the roof. 
Through the roof, no doubt. 

465
00:26:02,440 --> 00:26:07,240
It cost them a mid single digit 
percent of their margin alone, 

466
00:26:07,640 --> 00:26:09,800
right on gross margin that flows
all the way down. 

467
00:26:10,880 --> 00:26:14,680
And they also had to build 
inventory because ports were 

468
00:26:14,680 --> 00:26:16,760
backed up. 
So you'd have to have more 

469
00:26:16,760 --> 00:26:21,000
bottles sitting on ships waiting
just for the opportunity to be 

470
00:26:21,000 --> 00:26:26,760
unloaded into the market. 
And then when the Russia war on 

471
00:26:26,760 --> 00:26:31,440
Ukraine commenced, a European 
glass rates went through the 

472
00:26:31,440 --> 00:26:33,560
roof. 
The biggest input cost into 

473
00:26:33,560 --> 00:26:38,120
glass is actually energy, 
natural gas in particular in in 

474
00:26:38,120 --> 00:26:40,760
Europe. 
And those prices went sky high 

475
00:26:40,760 --> 00:26:44,120
and Ukraine actually was a 
pretty, it still is but a pretty

476
00:26:44,120 --> 00:26:47,760
big source of glass into the 
European market. 

477
00:26:48,040 --> 00:26:52,440
And their suppliers pulled force
majeure and forced upward 

478
00:26:52,440 --> 00:26:56,080
meaningfully their price that 
they paid for glass bottles. 

479
00:26:56,080 --> 00:27:00,240
And at the time they were not 
exclusively but very, very 

480
00:27:00,240 --> 00:27:03,520
heavily skewed to glass as 
opposed to cans. 

481
00:27:04,040 --> 00:27:06,640
And and that was the case 
globally for them. 

482
00:27:06,920 --> 00:27:08,560
They're gonna remain that way, 
aren't they? 

483
00:27:08,560 --> 00:27:11,160
I've seen they're they're 
bringing out some ready to drink

484
00:27:11,360 --> 00:27:18,440
products that are in cans, which
I I initially said Self, I don't

485
00:27:18,440 --> 00:27:21,240
think I like this 'cause I 
haven't had a good one yet. 

486
00:27:21,600 --> 00:27:27,520
And then I said, but most of the
drink is the mixer, so Fever 

487
00:27:27,520 --> 00:27:31,040
Tree might actually be perfectly
positioned to do pretty well 

488
00:27:31,040 --> 00:27:33,560
here. 
Yeah, yeah, you got their motto 

489
00:27:33,560 --> 00:27:37,000
down pretty tight, right? 
I looked at ABM Bev for a while 

490
00:27:37,000 --> 00:27:40,080
and owned it for a bit, but like
cut water, right, Is something 

491
00:27:40,080 --> 00:27:42,640
that they bought. 
I don't know that. 

492
00:27:42,760 --> 00:27:46,080
I mean it's it's I would need to
look at reviews and do surveys 

493
00:27:46,080 --> 00:27:49,960
and whatnot, but I think that 
cut water is an inferior product

494
00:27:50,000 --> 00:27:52,760
to a mixed drink. 
But I kind of wonder if it's 

495
00:27:52,760 --> 00:27:56,640
because they're skimping a 
little on the mixer part of the 

496
00:27:56,640 --> 00:27:59,920
drink, right? 
And like Fever Tree, I bought 

497
00:27:59,920 --> 00:28:04,640
the the grapefruit to try my My 
wife likes gin, so I helped her 

498
00:28:05,000 --> 00:28:07,360
make a little gin drink. 
It's quite good. 

499
00:28:08,240 --> 00:28:10,000
Yeah, the grapefruit's even 
better with tequila. 

500
00:28:10,000 --> 00:28:12,400
I know if your wife likes it and
it's hard to change it, but 

501
00:28:12,400 --> 00:28:15,000
yeah. 
Well, someone you're talking to 

502
00:28:15,000 --> 00:28:17,920
doesn't mind tequila. 
Yeah, It's the best Paloma that 

503
00:28:17,920 --> 00:28:19,360
I know of. 
Yeah. 

504
00:28:20,080 --> 00:28:21,400
Yeah. 
And I was actually introduced to

505
00:28:21,400 --> 00:28:24,560
that by a bartender, not a self 
discovery And and and it's 

506
00:28:24,560 --> 00:28:27,040
fantastic. 
It's so easy to make and I think

507
00:28:27,040 --> 00:28:30,280
that's been their MO. 
Like really simplify, having a 

508
00:28:31,360 --> 00:28:34,720
high end cocktail at home for 
the average person. 

509
00:28:35,280 --> 00:28:40,480
Well, and when I read they work 
with with mixologists, right, to

510
00:28:40,600 --> 00:28:44,520
get deep in the in the channel 
in bars, right? 

511
00:28:44,600 --> 00:28:49,960
And then I guess now they're 
starting to get more shelf space

512
00:28:49,960 --> 00:28:54,080
at like in grocery, right? 
Shout out to my man the science 

513
00:28:54,080 --> 00:28:56,440
of hitting. 
I got to give him a plug here. 

514
00:28:56,720 --> 00:28:59,600
I don't know if you read it. 
He did a a write up where he 

515
00:28:59,600 --> 00:29:04,240
compared the price per unit 
between Fever Tree and Coca-Cola

516
00:29:04,720 --> 00:29:10,920
and and it's Fever Tree is 10X 
more expensive than the private 

517
00:29:10,920 --> 00:29:16,400
label brand and it looks like 
3.8% more expensive than 

518
00:29:16,400 --> 00:29:21,800
something like Coke. 
And I and I was curious, I and I

519
00:29:21,800 --> 00:29:25,440
asked you this offline, I'll ask
you again why if they're so 

520
00:29:25,440 --> 00:29:28,800
premium, have margins been hit 
so bad? 

521
00:29:28,800 --> 00:29:31,080
Because I would think if you're 
that premium you could push 

522
00:29:31,080 --> 00:29:34,520
price. 
But I I think I was asking the 

523
00:29:34,520 --> 00:29:36,480
wrong question. 
Yeah. 

524
00:29:36,480 --> 00:29:41,080
No, it ties into a a lot of 
choices that the business was 

525
00:29:41,080 --> 00:29:45,240
faced with. 
There was this question whether 

526
00:29:45,400 --> 00:29:50,720
inflation and cost pressures 
were structural forces or 

527
00:29:50,720 --> 00:29:54,400
transitory forces. 
And forget about the actual 

528
00:29:54,400 --> 00:29:57,400
debate. 
What's unquestionable is there 

529
00:29:57,400 --> 00:30:02,760
is a degree to which fever trees
cost pressures were transitory. 

530
00:30:03,320 --> 00:30:06,200
They knew there would be a day 
when certain of these cost 

531
00:30:06,200 --> 00:30:09,400
pressures would not exist in the
same way. 

532
00:30:09,400 --> 00:30:11,880
And they tried to do things to 
take matters into their own 

533
00:30:11,880 --> 00:30:15,280
hands like push more 
manufacturing to the US so you 

534
00:30:15,280 --> 00:30:18,400
don't even have to think about 
transatlantic shipping rates. 

535
00:30:18,400 --> 00:30:20,440
That becomes an afterthought at 
that point. 

536
00:30:21,040 --> 00:30:23,360
But you know it's hard to get 
that done. 

537
00:30:23,840 --> 00:30:27,440
During COVID rolling lockdowns, 
UK stayed locked down longer and

538
00:30:27,440 --> 00:30:33,600
all these other problems and 
what they decided to do was they

539
00:30:33,600 --> 00:30:37,760
felt it was more important to 
pursue their growth objectives 

540
00:30:38,080 --> 00:30:41,960
as a business than it was to 
optimize for margin. 

541
00:30:42,440 --> 00:30:46,520
They cut their price in 2020 to 
help get more shelf space. 

542
00:30:46,520 --> 00:30:50,080
So they've taken down some of 
the premium they'd had and that 

543
00:30:50,080 --> 00:30:52,280
earned them a lot of respect 
with some of the retail 

544
00:30:52,280 --> 00:30:53,880
partners, so. 
You don't want to go back 

545
00:30:53,920 --> 00:30:56,120
necessarily and say now we're 
raising price, right? 

546
00:30:56,360 --> 00:30:57,880
Yeah, they didn't want to raise 
price. 

547
00:30:57,880 --> 00:31:00,480
What what they didn't want to do
was they didn't want to just 

548
00:31:00,480 --> 00:31:04,240
raise price because cost had 
gone up and say we're covering 

549
00:31:04,320 --> 00:31:08,320
all our cost and and we know 
that we could pass this through 

550
00:31:08,680 --> 00:31:12,640
because they didn't want to 
raise what was only transitory. 

551
00:31:12,960 --> 00:31:16,040
One of the things I I remember 
back from the financial crisis 

552
00:31:16,040 --> 00:31:19,480
period from from a paper on real
estate was this notion that 

553
00:31:19,480 --> 00:31:23,920
prices rise with inflation. 
They rise with cost pressures 

554
00:31:23,920 --> 00:31:28,080
but they never go down when any 
of the pressures that push them 

555
00:31:28,080 --> 00:31:29,840
up abate. 
Yeah. 

556
00:31:29,880 --> 00:31:33,040
So you don't want to end up in a
position where these transitory 

557
00:31:33,040 --> 00:31:36,640
cost pressures are gone and 
you've raised your product to 

558
00:31:36,640 --> 00:31:39,880
such a point where you then have
to like go back and like cut it.

559
00:31:40,280 --> 00:31:43,160
So that's that's sloppy. 
They wanted to see to what 

560
00:31:43,160 --> 00:31:46,760
degree things were actually like
they knew some costs were not 

561
00:31:46,760 --> 00:31:49,640
transitory and facing pressure, 
so they wanted to be able to 

562
00:31:49,640 --> 00:31:52,520
deduce which was which. 
And then you could take it a 

563
00:31:52,520 --> 00:31:54,640
little further. 
I mean for the business they 

564
00:31:54,640 --> 00:31:58,120
were still fairly young, fairly 
immature and trying to grow in 

565
00:31:58,120 --> 00:32:03,600
the US So I I'd imagine there 
was a different elasticity for 

566
00:32:03,600 --> 00:32:06,960
existing customers who love it 
versus trying to bring in new 

567
00:32:06,960 --> 00:32:08,640
customers. 
So if you push it too far, 

568
00:32:08,960 --> 00:32:12,080
that's a big impediment to get 
new customers to come into the 

569
00:32:12,080 --> 00:32:13,720
brand. 
You might do well with your 

570
00:32:13,720 --> 00:32:16,480
existing customers, kind of like
what I was talking about with 

571
00:32:16,920 --> 00:32:19,600
Coke and Hershey's where you get
this, you know, high single 

572
00:32:19,600 --> 00:32:23,040
digit growth, but with declining
volumes that that looks great 

573
00:32:23,040 --> 00:32:24,960
superficially. 
But for someone like Fever Tree,

574
00:32:24,960 --> 00:32:27,120
who's trying to expand the 
number of households they reach,

575
00:32:27,640 --> 00:32:29,160
that's Contra what they're 
trying to do. 

576
00:32:29,160 --> 00:32:32,960
And it's not exactly what you'd 
want for creating long term 

577
00:32:32,960 --> 00:32:35,280
value over the course of a 
decade, maybe over a course of a

578
00:32:35,280 --> 00:32:37,880
year or two, that would create 
value, but not over the course 

579
00:32:37,880 --> 00:32:40,120
of a decade. 
And then the other thing is they

580
00:32:40,120 --> 00:32:43,640
did have this profit pool in the
UK that was still doing pretty 

581
00:32:43,640 --> 00:32:45,720
damn well. 
And if you'd looked at things, I

582
00:32:45,720 --> 00:32:48,760
think in the last year, 
basically 100% of their EBITDA 

583
00:32:48,760 --> 00:32:51,720
came from the UK market. 
And so that means they're losing

584
00:32:51,720 --> 00:32:54,880
money or break even in the US 
And what that did was they put 

585
00:32:54,880 --> 00:32:57,280
their competitors entirely on 
the ropes. 

586
00:32:57,640 --> 00:33:00,760
And there's a great call, 
Antiguas with the CEO of Q 

587
00:33:00,760 --> 00:33:02,440
Drinks. 
And now I think he's a former 

588
00:33:02,760 --> 00:33:06,960
and he talks about how Fever 
Trees pricing is completely 

589
00:33:06,960 --> 00:33:09,560
irrational and it's doing crazy 
things for the industry. 

590
00:33:09,560 --> 00:33:13,480
But you know when you look at it
at the time I'd spoken to 

591
00:33:13,480 --> 00:33:16,520
someone who short the stock 
during that period and the 

592
00:33:16,520 --> 00:33:19,680
contention was they're actually 
using the supply chain in order 

593
00:33:19,680 --> 00:33:21,800
to mask the fact that the US 
growth opportunity was 

594
00:33:21,800 --> 00:33:24,440
completely tapped out already 
and that there's not going to be

595
00:33:24,440 --> 00:33:27,360
nearly as much growth as they 
had been guiding to. 

596
00:33:28,040 --> 00:33:30,320
And now you know you Fast 
forward a year and it's very 

597
00:33:30,320 --> 00:33:33,760
clear actually once the supply 
chain pressures abated and they 

598
00:33:33,760 --> 00:33:38,120
got better supply back on the 
market, they re accelerated 

599
00:33:38,120 --> 00:33:39,720
their growth. 
Their growth doubled in the US 

600
00:33:39,720 --> 00:33:41,760
from year over year and was in 
the mid 20%. 

601
00:33:41,960 --> 00:33:44,480
And they actually think their 
sell through was better than the

602
00:33:44,480 --> 00:33:46,800
headline number they were able 
to report in the US market. 

603
00:33:47,160 --> 00:33:50,640
So they took meaningful share 
from their competitors by 

604
00:33:50,640 --> 00:33:54,640
putting them on the ropes in the
prior couple years and it helped

605
00:33:54,640 --> 00:33:57,120
with their retail partners. 
Their retail partners love that,

606
00:33:57,120 --> 00:33:59,800
gave them more shelf space. 
Retail partners actually make 

607
00:33:59,800 --> 00:34:02,600
more money selling Fever Tree 
than any other product in the 

608
00:34:02,600 --> 00:34:05,560
category. 
That's a huge boon to a retail 

609
00:34:05,560 --> 00:34:07,920
partner. 
You want to get what's a high 

610
00:34:07,920 --> 00:34:10,960
turnover but premium product on 
your shelves because you just 

611
00:34:10,960 --> 00:34:14,199
get, you get better margin 
yourself, you make more money. 

612
00:34:14,560 --> 00:34:17,920
So why not get Fever Tree and 
more space even if perhaps they 

613
00:34:17,920 --> 00:34:19,719
should have pushed price a 
little more aggressively. 

614
00:34:20,080 --> 00:34:22,360
So now you end up in. 
It's a little bit of the 

615
00:34:22,360 --> 00:34:24,360
capacity to suffer type thing, 
right? 

616
00:34:24,960 --> 00:34:27,840
I was just, I was just scrolling
to see if Gardner Russo was a 

617
00:34:27,840 --> 00:34:31,840
shareholder yet maybe they never
will be, but sort of sounds like

618
00:34:32,000 --> 00:34:34,560
the type of thing that Tom has 
probably studied. 

619
00:34:35,120 --> 00:34:37,159
They have it right. 
I think that I'm glad you threw 

620
00:34:37,159 --> 00:34:40,239
out capacity to suffer there 
because I do think you know 

621
00:34:40,239 --> 00:34:45,280
their largest owners are their 
two founders, CEO is one of 

622
00:34:45,280 --> 00:34:48,600
those two guys, Tim Warelow. 
And so they have meaningful skin

623
00:34:48,600 --> 00:34:52,280
in the game and their large 
shareholders support them. 

624
00:34:52,280 --> 00:34:55,880
Lindsay Train and Fundsmith like
absolutely support them and 

625
00:34:55,880 --> 00:35:00,120
pursuing like highest NPV 
strategies. 

626
00:35:00,200 --> 00:35:02,640
They don't necessarily care 
about optimizing for this year 

627
00:35:02,920 --> 00:35:05,320
and that year's margin. 
And I think, you know, in my 

628
00:35:05,320 --> 00:35:08,120
conversations with them, they've
been pretty candid that that 

629
00:35:08,120 --> 00:35:12,160
they do feel like there will be 
a day down the line where they 

630
00:35:12,160 --> 00:35:15,000
can optimize for margin, but 
they want to optimize for growth

631
00:35:15,000 --> 00:35:17,840
today because they think the 
opportunity is so damn big. 

632
00:35:18,200 --> 00:35:20,280
So why not attack it? 
You know, they still think they 

633
00:35:20,280 --> 00:35:24,520
could more than double the US 
business from here based on 

634
00:35:24,520 --> 00:35:26,040
their goals that they'd set out 
a few years ago. 

635
00:35:26,040 --> 00:35:28,120
It would be nice to see them 
revisit exactly how big they 

636
00:35:28,120 --> 00:35:31,480
think they could that could get.
But the US market is multiples 

637
00:35:31,480 --> 00:35:35,240
that of the UK market and they 
only just this year passed just 

638
00:35:35,240 --> 00:35:39,600
last year, sorry the recent 
report, but in 2023 only then 

639
00:35:39,600 --> 00:35:41,800
did the US become a bigger 
market than the UK. 

640
00:35:42,240 --> 00:35:46,160
So there should be a really good
runway and I think it's smart to

641
00:35:46,160 --> 00:35:48,760
pursue this growth, but it's 
really challenging I think 

642
00:35:48,760 --> 00:35:51,880
because especially in the UK, 
investors never like seeing 

643
00:35:51,880 --> 00:35:55,680
margins go backwards and you 
never know to what degree. 

644
00:35:55,680 --> 00:35:58,840
I mean there there is a case to 
be made that maybe the US is 

645
00:35:58,840 --> 00:36:03,560
going to be lower margin than 
the UK for structural reasons. 

646
00:36:03,560 --> 00:36:08,480
So like what does a normalized 
margin profile look like for 

647
00:36:08,480 --> 00:36:11,360
this business going forward? 
And they've been unwilling to 

648
00:36:11,400 --> 00:36:15,960
kind of truly put that out, but 
they are guiding to double 

649
00:36:16,200 --> 00:36:20,280
EBITDA margins this year from 
last and have 200 BPS of margin 

650
00:36:20,280 --> 00:36:24,040
improvement each year thereafter
over the midterm. 

651
00:36:25,080 --> 00:36:28,800
And yet I still think because 
they three times the UK investor

652
00:36:28,800 --> 00:36:30,880
base doesn't want to buy into 
the fact that they have this 

653
00:36:31,240 --> 00:36:33,720
kind of tailwind for margin 
going forward from here. 

654
00:36:34,280 --> 00:36:37,480
You know who doesn't seem to 
care very much is Kevin 

655
00:36:37,480 --> 00:36:43,840
Havelock, who is on. 
I mean, if I'm looking at this, 

656
00:36:43,840 --> 00:36:48,720
first of all, he's an insider. 
Second of all, see, it looks 

657
00:36:48,720 --> 00:36:51,680
like he's from Unilever. 
If my dad is is correct. 

658
00:36:51,680 --> 00:36:54,160
And I don't know, man, that 
somebody checked, I mean, if 

659
00:36:54,160 --> 00:36:55,600
you're listening, check your own
records. 

660
00:36:55,600 --> 00:36:59,280
But the insider purchases from 
this guy are not small. 

661
00:37:00,680 --> 00:37:04,600
Yeah, they've had after each 
report when their quiet period 

662
00:37:04,600 --> 00:37:10,200
ends, their insiders have been, 
I'd say, buying like 500 K to 

663
00:37:10,200 --> 00:37:13,120
$1,000,000 of stock each time, 
yeah. 

664
00:37:13,520 --> 00:37:16,040
I guess I yeah, I need to check 
it out on a currency adjusted 

665
00:37:16,040 --> 00:37:18,160
basis, but yeah, this guy's 
interesting. 

666
00:37:18,640 --> 00:37:20,440
Huh. 
He bought a lot of stock last 

667
00:37:20,440 --> 00:37:21,920
year too, which is pretty damn 
nice. 

668
00:37:22,440 --> 00:37:26,920
So how you know, you started out
talking about resiliency and how

669
00:37:26,920 --> 00:37:29,520
do you think about, you know, 
not every idea. 

670
00:37:29,520 --> 00:37:32,120
First of all, not every idea has
to be right in a portfolio. 

671
00:37:32,720 --> 00:37:36,160
So how do you, how do you think 
about when you're looking at a 

672
00:37:36,160 --> 00:37:42,480
name like this that's smaller 
but but growing like sizing just

673
00:37:42,480 --> 00:37:46,280
theoretically right sizing and 
kind of like its role in a 

674
00:37:46,280 --> 00:37:49,800
broader portfolio context and 
how resilient it is and how do 

675
00:37:49,800 --> 00:37:53,360
you kind of weigh those in the 
in the PM seat? 

676
00:37:54,640 --> 00:37:57,440
Yeah, So I think that's one of 
the areas I've I've, I've been 

677
00:37:57,440 --> 00:37:59,920
revisiting a little bit. 
I I'd gotten a little more 

678
00:37:59,920 --> 00:38:02,800
concentrated during the COVID 
period than I had been before 

679
00:38:02,800 --> 00:38:04,800
and I really like being semi 
concentrated. 

680
00:38:04,800 --> 00:38:08,120
I think that fits my personality
and the kinds of companies I 

681
00:38:08,120 --> 00:38:12,320
look at a lot better. 
So that means like 25 positions 

682
00:38:12,320 --> 00:38:15,440
or so is the central tendency. 
I'd pull that down to high teens

683
00:38:15,440 --> 00:38:20,400
partly because in COVID like 
coming in, I'd had like certain 

684
00:38:20,400 --> 00:38:22,280
industries that I was like, 
well, I just don't want to own 

685
00:38:22,280 --> 00:38:25,120
this if we're going back to Zerp
and some of these other problems

686
00:38:25,120 --> 00:38:28,000
are here, so. 
So I'd pulled back things, but I

687
00:38:28,000 --> 00:38:31,440
like being in that 25 position 
range, which means like an 

688
00:38:31,440 --> 00:38:34,360
average size position should be 
4%, right. 

689
00:38:34,760 --> 00:38:38,240
And I don't like buying that 
full amount right away. 

690
00:38:38,240 --> 00:38:40,480
I think I like getting 
comfortable with things over 

691
00:38:40,480 --> 00:38:42,320
time and have a sense of what's 
really driving them. 

692
00:38:42,320 --> 00:38:44,040
So I've really started spacing 
that out. 

693
00:38:44,040 --> 00:38:46,840
I think time compressed in COVID
and I've been a little quicker 

694
00:38:46,840 --> 00:38:50,600
to act on some of those things. 
So you know 4% is my central 

695
00:38:50,600 --> 00:38:53,880
tendency on positions and I 
don't that doesn't mean that I 

696
00:38:54,160 --> 00:38:57,280
like cut back on things if they 
start working or take a 

697
00:38:57,280 --> 00:38:59,360
different shape in the 
portfolio, but it gives me 

698
00:38:59,360 --> 00:39:03,280
opportunity to add to things too
if they kind of underperform the

699
00:39:03,280 --> 00:39:05,520
rest of the book. 
I think it, I think it's a 

700
00:39:05,520 --> 00:39:09,040
really good good round Number. 
So that gives you a sense of the

701
00:39:09,040 --> 00:39:12,240
sizing in this position. 
But also like most positions and

702
00:39:12,640 --> 00:39:16,600
I definitely have a couple 
outsized positions that I'm 

703
00:39:16,600 --> 00:39:19,360
willing to let bigger when I see
a fat pitch, I'm, I'm willing to

704
00:39:19,360 --> 00:39:23,000
go there. 
And I'm also still very willing 

705
00:39:23,000 --> 00:39:26,200
to let the ones that I think are
truly special run pretty far 

706
00:39:26,200 --> 00:39:27,680
into meaningfully bigger 
positions. 

707
00:39:27,680 --> 00:39:29,120
So they're definitely some 
outsized positions. 

708
00:39:29,120 --> 00:39:31,320
So that means at the end of the 
book there are, there are 

709
00:39:31,320 --> 00:39:32,720
absolutely some smaller 
positions. 

710
00:39:32,720 --> 00:39:36,000
So not everything's in the 4% 
range, but. 

711
00:39:36,160 --> 00:39:43,360
So when when they run though has
has the 2021 period till now if 

712
00:39:43,360 --> 00:39:47,160
it if it's multiple expansion 
are you thinking a little bit 

713
00:39:47,160 --> 00:39:51,760
more of trimming or are like is 
that one of the law of the wrong

714
00:39:51,760 --> 00:39:54,840
lessons that maybe is being 
learned. 

715
00:39:55,320 --> 00:39:59,440
Said said differently, like you 
know, I, I don't know how, how 

716
00:39:59,440 --> 00:40:03,120
does valuation? 
Has that become more of a part 

717
00:40:03,240 --> 00:40:06,240
of the process or is that not 
the right take away? 

718
00:40:07,120 --> 00:40:10,600
Yeah, I used to say I'm willing 
to hold things when they get 

719
00:40:10,600 --> 00:40:14,880
overvalued, and I know that my 
answer is yes. 

720
00:40:14,880 --> 00:40:18,320
I'm still willing to hold things
when they get overvalued if I 

721
00:40:18,320 --> 00:40:20,600
have a good basis. 
I really like the company and 

722
00:40:20,600 --> 00:40:23,560
really believe longer term. 
But if that happens to like 6 

723
00:40:23,560 --> 00:40:27,480
positions at once, I definitely 
need to be saying there's 

724
00:40:27,480 --> 00:40:30,360
something wrong here. 
Like it's not about holding one 

725
00:40:30,360 --> 00:40:33,960
position through a period of 
overvaluation. 

726
00:40:34,240 --> 00:40:37,160
It's something different, 
fundamentally different going on

727
00:40:37,160 --> 00:40:40,160
in the market and by 
fundamentally different almost 

728
00:40:40,160 --> 00:40:42,880
the absence of fundamentals is 
what's driving things. 

729
00:40:43,200 --> 00:40:47,680
So that was something that I 
think was very acute in 2021. 

730
00:40:47,960 --> 00:40:50,920
So I'm still willing to hold 
things through those periods, 

731
00:40:50,920 --> 00:40:54,880
but what I'm not willing to do 
at all anymore, like I've been I

732
00:40:54,880 --> 00:40:58,120
I was very clear with myself and
my investors that I thought 

733
00:40:58,120 --> 00:41:01,480
certain things were overvalued. 
And I'd even sold a meaningful 

734
00:41:01,480 --> 00:41:05,080
slice of one of them in 
particular and got like, 

735
00:41:05,080 --> 00:41:08,080
lambasted for like my tax bill's
going to be way too big. 

736
00:41:08,640 --> 00:41:13,080
I'm never going to let those 
kinds of concerns keep me in 

737
00:41:13,080 --> 00:41:16,800
something that I think is 
overvalued and worth trimming 

738
00:41:17,160 --> 00:41:18,480
for the sake of spreading it 
out. 

739
00:41:18,480 --> 00:41:20,920
I'm just going to sell it today.
I think it's overvalued and I'll

740
00:41:21,200 --> 00:41:23,280
live with the consequences if it
keeps going up. 

741
00:41:23,280 --> 00:41:26,160
But I think that's how I I have 
to do it. 

742
00:41:27,080 --> 00:41:30,360
Some people have argued like box
it in, but then then it's like, 

743
00:41:30,360 --> 00:41:34,400
well, you kind of have like trap
capital in that case, yeah. 

744
00:41:34,400 --> 00:41:37,000
And it's not cheap. 
So, yeah, that's right. 

745
00:41:37,000 --> 00:41:39,280
And I'm not sure. 
I mean, I haven't done all the 

746
00:41:39,280 --> 00:41:42,600
math on the taxes, but I don't 
think it's gonna be particularly

747
00:41:42,600 --> 00:41:44,760
tax advantage. 
I guess you'd you'd defer your 

748
00:41:45,320 --> 00:41:47,400
your big liability. 
But I I'm just. 

749
00:41:47,440 --> 00:41:50,240
I'm not sure that that's not one
step too cute, at least for me. 

750
00:41:50,840 --> 00:41:52,920
Yeah, I could see doing it in 
one position. 

751
00:41:52,920 --> 00:41:54,520
I can't see doing it in a 
handful. 

752
00:41:54,640 --> 00:41:57,640
Yeah, if that's how you want to 
think about it, great. 

753
00:41:57,640 --> 00:42:02,160
But like, one idea is you could 
potentially give it back who if 

754
00:42:02,160 --> 00:42:05,080
you have only a fund. 
And that's one of my problems. 

755
00:42:05,080 --> 00:42:07,400
We're doing an SMA and a fund 
separately. 

756
00:42:07,720 --> 00:42:10,080
If you have only a fund, you 
could carve out that position 

757
00:42:10,080 --> 00:42:12,200
and give it to investors and let
them decide on their own. 

758
00:42:12,520 --> 00:42:14,640
Oh, you distribute it in kind. 
Yeah. 

759
00:42:14,640 --> 00:42:16,920
Each person, based on their own 
sensitivity, can make their own 

760
00:42:16,920 --> 00:42:18,720
decision as opposed to you 
having to deal with the 

761
00:42:18,720 --> 00:42:22,720
consequences of that. 
Because I did have some clients 

762
00:42:22,720 --> 00:42:25,360
who are like, yeah, I'm, I'm 
fine with the tax, you know, I 

763
00:42:25,360 --> 00:42:29,560
did get lambasted by a few. 
But it's, you know, something 

764
00:42:29,560 --> 00:42:31,880
where I could be very clear 
about what I think is the right 

765
00:42:31,880 --> 00:42:34,840
decision, but say, hey, you 
know, for your own needs, make 

766
00:42:34,840 --> 00:42:37,800
your own decision. 
Interesting. 

767
00:42:38,320 --> 00:42:40,680
Yeah, that makes sense. 
I haven't thought about it that 

768
00:42:40,680 --> 00:42:43,000
way. 
All right. 

769
00:42:43,000 --> 00:42:45,960
I didn't mean to cut you off. 
I just it was a tangent that 

770
00:42:46,280 --> 00:42:49,240
I've been thinking more about, 
you know, the portfolio side 

771
00:42:49,240 --> 00:42:51,640
given I guess what's gone on in 
my life. 

772
00:42:51,640 --> 00:42:56,840
I used to be more about, like a 
single idea, and now I'm much 

773
00:42:56,840 --> 00:42:59,800
less about that than I ever was.
Yeah, I. 

774
00:42:59,800 --> 00:43:01,600
Love the portfolio management 
tangents. 

775
00:43:01,600 --> 00:43:04,200
I think it's one of the biggest 
areas where there's a lot of 

776
00:43:04,200 --> 00:43:07,880
value you can add, but there's 
no great playbook that's out 

777
00:43:07,880 --> 00:43:09,880
there. 
Like you know, the buffet 

778
00:43:09,880 --> 00:43:13,080
letters are for being a value 
investor and evolving over time.

779
00:43:14,080 --> 00:43:17,720
And you know, I think it's one 
of those areas that a lot of 

780
00:43:17,720 --> 00:43:21,400
people don't like to talk or 
think about and it's a very soft

781
00:43:21,840 --> 00:43:26,600
science, but I do think you 
could be way more like rigidly 

782
00:43:26,600 --> 00:43:28,640
scientific with it and and and 
get better. 

783
00:43:28,640 --> 00:43:31,160
So I try to push myself to be 
better and I come from a trade 

784
00:43:31,160 --> 00:43:34,600
desk and I know people who like 
basically their core skill is 

785
00:43:34,960 --> 00:43:38,080
portfolio management, not 
security selection at all and 

786
00:43:38,080 --> 00:43:40,000
they do phenomenally well 
because that's a great core 

787
00:43:40,000 --> 00:43:41,760
skill. 
So I challenge myself to be 

788
00:43:41,760 --> 00:43:45,440
better at at it all the time. 
I was reading a paper on tax 

789
00:43:45,440 --> 00:43:48,000
loss harvesting and like whether
or not you can sort of 

790
00:43:48,000 --> 00:43:52,800
outperform an index if you're if
you use tax losses in the right 

791
00:43:52,800 --> 00:43:55,920
way. 
And the the fundamental issue 

792
00:43:55,920 --> 00:43:58,760
with the paper is it assumes 
that the person that is reading 

793
00:43:58,760 --> 00:44:03,160
it assumes that there is no 
alpha in stock picking or that 

794
00:44:03,160 --> 00:44:06,680
their ability is nil. 
And I'm reading it and I'm like,

795
00:44:06,680 --> 00:44:09,160
well, I don't know that that's 
the right assumption, right? 

796
00:44:09,680 --> 00:44:14,680
So not not to say that the 
assumption is invalid, but I'm 

797
00:44:14,680 --> 00:44:17,160
not sure that the person that's 
running the strategy myself 

798
00:44:17,560 --> 00:44:21,440
specifically would assume that. 
So, alas, it's what's been on my

799
00:44:21,440 --> 00:44:24,400
mind a lot. 
Well, it's kind of an oxymoron. 

800
00:44:24,400 --> 00:44:26,840
You shouldn't even be in a 
position a tax loss harvest if 

801
00:44:26,840 --> 00:44:29,480
there is no alpha and buying 
individual positions you should 

802
00:44:29,480 --> 00:44:32,040
just buy the index anyway. 
Yeah, well, that's kind of where

803
00:44:32,040 --> 00:44:34,680
the paper was going. 
And and lo and behold, it was 

804
00:44:34,680 --> 00:44:36,360
put forth by a Black Rock 
company. 

805
00:44:36,360 --> 00:44:38,600
So who would have thought? 
Yeah, it's a tautological 

806
00:44:38,600 --> 00:44:41,240
argument. 
Then yes, they got exactly the 

807
00:44:41,240 --> 00:44:44,560
conclusion they wanted. 
This is the problem with the you

808
00:44:44,560 --> 00:44:47,280
know, you start saying, OK, 
well, who's telling me what? 

809
00:44:47,280 --> 00:44:49,840
And you start pulling on some 
threads and you realize a lot of

810
00:44:49,840 --> 00:44:52,040
the times there's some 
incentives behind what you're 

811
00:44:52,040 --> 00:44:53,440
reading. 
Absolutely. 

812
00:44:53,440 --> 00:44:55,760
It's hard. 
And you you do want people who 

813
00:44:55,760 --> 00:44:59,440
are putting things forward to be
like incentivized to believe 

814
00:44:59,440 --> 00:45:02,560
what they're putting forward. 
So there's something that's not 

815
00:45:02,560 --> 00:45:07,000
necessarily bad in that, but but
you definitely got to ask like, 

816
00:45:07,120 --> 00:45:08,840
is it coming from the right 
place? 

817
00:45:09,440 --> 00:45:11,960
Yes, you want them to be putting
something forward that they 

818
00:45:11,960 --> 00:45:14,320
believe in, right? 
Like you and you want them to 

819
00:45:14,320 --> 00:45:17,960
have buy in, but you also don't 
want them to go in with like the

820
00:45:18,200 --> 00:45:24,280
conclusion that cannot be like 
some of some of the issue when I

821
00:45:24,280 --> 00:45:28,120
read some some things is it's 
like OK, well if you're if 

822
00:45:28,120 --> 00:45:31,840
you're selling this product you 
can't possibly be rational about

823
00:45:31,840 --> 00:45:33,640
whether or not the product makes
sense right. 

824
00:45:33,640 --> 00:45:36,200
Like your livelihood depends on 
it, so. 

825
00:45:36,440 --> 00:45:39,080
Hopefully you are selling that 
product because you went there 

826
00:45:39,080 --> 00:45:41,080
in the 1st place because you 
truly believe in it. 

827
00:45:41,440 --> 00:45:43,360
That's correct. 
Definitely not categorically the

828
00:45:43,360 --> 00:45:45,280
case. 
Yes, that's correct. 

829
00:45:45,520 --> 00:45:48,920
Yes, I agree. 
All right, we, I digress. 

830
00:45:48,920 --> 00:45:51,280
My apologies. 
Yeah, I want to point out a 

831
00:45:51,280 --> 00:45:53,840
paradox in in one of the things 
that I'm saying and thinking 

832
00:45:53,840 --> 00:45:56,280
though, right, because I talked 
about resiliency and then here I

833
00:45:56,280 --> 00:45:57,680
am. 
I'm like I love Fever Tree, 

834
00:45:57,760 --> 00:46:01,040
despite the fact that they 
suffered from a lack thereof. 

835
00:46:02,200 --> 00:46:02,920
Right. 
You can say. 

836
00:46:02,960 --> 00:46:04,840
I think you're saying you 
respect Fever Tree. 

837
00:46:04,840 --> 00:46:07,120
I don't know that you're saying 
that you love them, but yes, OK.

838
00:46:07,440 --> 00:46:08,240
No, I said. 
I love them. 

839
00:46:08,240 --> 00:46:09,360
Well, OK. 
All right. 

840
00:46:09,360 --> 00:46:12,400
Yeah, yeah, noted. 
I think small caps in general, 

841
00:46:12,400 --> 00:46:14,560
right? 
Like because of this period, 

842
00:46:14,560 --> 00:46:16,840
because of their lack of 
resiliency, because there were 

843
00:46:16,840 --> 00:46:19,760
so many of these esoteric 
problems, because of all these, 

844
00:46:20,080 --> 00:46:23,960
because of many structural 
forces like the move from active

845
00:46:23,960 --> 00:46:26,840
to passive in the market, small 
caps have just become so out of 

846
00:46:26,840 --> 00:46:29,000
favor. 
And so although they lack 

847
00:46:29,000 --> 00:46:32,520
resiliency, I think it's like 
the most amazing pocket of the 

848
00:46:32,520 --> 00:46:34,080
market to be hunting in right 
now. 

849
00:46:34,080 --> 00:46:37,200
I think it's part of what I was 
like ultimately gearing toward 

850
00:46:37,200 --> 00:46:38,920
when I was saying the 2nd 
derivative stuff. 

851
00:46:38,920 --> 00:46:42,040
Like I think a lot of the 
momentum in markets is like 

852
00:46:42,240 --> 00:46:45,720
exacerbate everything good and 
everything bad. 

853
00:46:45,720 --> 00:46:49,240
And small caps now are like I I 
think one of the most 

854
00:46:49,240 --> 00:46:51,280
interesting setups that I've 
ever seen doing this 

855
00:46:51,280 --> 00:46:55,400
professionally. 
Well and that's kind of why I 

856
00:46:55,400 --> 00:46:57,400
brought up the portfolio 
perspective. 

857
00:46:57,400 --> 00:47:02,280
I mean it's you know I I can't 
help but see some feedback on on

858
00:47:02,280 --> 00:47:04,200
some ideas that come on the pod 
right. 

859
00:47:04,200 --> 00:47:08,240
I it's just that's natural and I
think it's important to 

860
00:47:08,240 --> 00:47:10,840
contextualize. 
If somebody's saying, well I 

861
00:47:10,840 --> 00:47:14,280
like XYZ company or in this case
you know Fever Trees interest 

862
00:47:14,280 --> 00:47:18,880
somebody, OK well, you know 
there's a way to build 

863
00:47:18,880 --> 00:47:21,800
resiliency in a portfolio that 
doesn't necessarily have to be 

864
00:47:21,800 --> 00:47:24,520
in each individual position. 
Now each individual position 

865
00:47:24,520 --> 00:47:28,320
should have some hurdle to get 
into a portfolio, but there's a 

866
00:47:28,320 --> 00:47:32,240
lot more context around how 
somebody implements the idea 

867
00:47:32,600 --> 00:47:36,280
than just this is the idea. 
And you know, I I think to the 

868
00:47:36,280 --> 00:47:38,560
extent that I talked to a 
younger audience, I would say 

869
00:47:38,560 --> 00:47:42,600
that a younger me would have 
maybe found a small cap and been

870
00:47:42,600 --> 00:47:44,480
like, boy, I got to be all in 
this thing. 

871
00:47:44,880 --> 00:47:50,320
And the older me has a 
different, potentially different

872
00:47:50,320 --> 00:47:54,840
set of risk factors, right, And 
would be more apt to tap the 

873
00:47:54,840 --> 00:47:57,320
brakes on my excitement than 
than the younger me would. 

874
00:47:58,040 --> 00:48:01,440
Yeah, yeah, There's still ways 
to capitalize by being small and

875
00:48:01,440 --> 00:48:03,320
things. 
And it also depends on what 

876
00:48:03,320 --> 00:48:06,640
you're playing for. 
I mean if you want some things 

877
00:48:06,640 --> 00:48:10,440
that will and and I think this 
gets to your feedback point on 

878
00:48:10,520 --> 00:48:13,600
on certain things that you hear 
out there on the world of X or 

879
00:48:13,600 --> 00:48:17,720
Twitter or whatever. 
You know, if if if your goal is 

880
00:48:17,720 --> 00:48:21,160
to own things that'll like give 
you a multiple of your initial 

881
00:48:21,160 --> 00:48:23,440
investment over a few years. 
They're definitely going to be 

882
00:48:23,440 --> 00:48:25,280
some things that don't do very 
well. 

883
00:48:25,760 --> 00:48:28,840
And in periods when it's great, 
you're absolutely going to have,

884
00:48:29,360 --> 00:48:31,320
you know a few things that do 
pretty damn well. 

885
00:48:31,600 --> 00:48:34,840
And if you're doing things right
the ones you get right should 

886
00:48:34,840 --> 00:48:37,480
make up for what happens in 
periods when things are not 

887
00:48:37,480 --> 00:48:41,800
going well, where you will take 
some like real pain in a few 

888
00:48:41,800 --> 00:48:44,800
positions if not more. 
And that's something that 

889
00:48:45,200 --> 00:48:49,320
portfolio management like with 
with greater diversification and

890
00:48:49,320 --> 00:48:54,080
with some sort of like cash 
buffer recycling of capital 

891
00:48:54,080 --> 00:48:56,880
along the way could end up an 
enhancer of returns, not 

892
00:48:56,880 --> 00:48:58,080
something that detracts from 
them. 

893
00:48:58,840 --> 00:49:01,960
Yeah. 
A stock that you and I talked 

894
00:49:01,960 --> 00:49:06,120
about that people may have heard
about is NVIDIA. 

895
00:49:06,600 --> 00:49:09,120
And I'd like you to tell the 
story of how you started to 

896
00:49:09,120 --> 00:49:13,000
follow NVIDIA, because I think 
it could segue into the next 

897
00:49:13,000 --> 00:49:16,280
little segment nicely. 
Oh man, Nvidia's a painful one 

898
00:49:16,280 --> 00:49:19,640
for me. 
I mean like 3 splits ago. 

899
00:49:19,800 --> 00:49:25,320
The year is 2013. 
NVIDIA was actually a high 

900
00:49:25,320 --> 00:49:30,760
dividend, yielding really low EV
to EBITDA multiple stock. 

901
00:49:31,480 --> 00:49:36,400
And by that, my first foray with
NVIDIA was in 2008 when I 

902
00:49:36,400 --> 00:49:38,960
literally knew nothing about 
markets. 

903
00:49:39,440 --> 00:49:41,480
I mean, I mean, I've been 
working on a trade desk for a 

904
00:49:41,480 --> 00:49:44,080
little, but that still meant I 
literally knew nothing about 

905
00:49:44,080 --> 00:49:47,320
markets. 
I did a screen for companies 

906
00:49:47,720 --> 00:49:53,120
that were with over half cash as
a percent of their market cap. 

907
00:49:53,920 --> 00:49:58,760
And if I'm I, I may be wrong on 
the exact prices because I might

908
00:49:58,760 --> 00:50:02,280
be confusing NVIDIA with Akamai 
at the time. 

909
00:50:02,760 --> 00:50:07,520
But NVIDIA was trading for, if 
if I'm right, it was like 6 1/2 

910
00:50:07,520 --> 00:50:11,600
to 7 dollars with $5 per share 
of cash. 

911
00:50:11,680 --> 00:50:13,840
And so I bought that and I 
flipped it. 

912
00:50:14,280 --> 00:50:17,120
You know, obviously I was like, 
yes, this is, this is great 

913
00:50:17,120 --> 00:50:19,200
because when, you know, the tide
came back in. 

914
00:50:19,800 --> 00:50:21,800
One thing I'd say that was 
really interesting to me at that

915
00:50:21,800 --> 00:50:26,640
time was NVIDIA made Lowe's in 
November of O8IN March of O9 

916
00:50:26,640 --> 00:50:28,560
when the market bottomed. 
It never made new lows. 

917
00:50:28,560 --> 00:50:31,640
I found I I always found that to
be interesting and a lot of like

918
00:50:31,640 --> 00:50:33,920
really good companies didn't do 
that. 

919
00:50:33,920 --> 00:50:36,840
But I digress. 
Back to the like the 2013 

920
00:50:36,840 --> 00:50:39,920
period, NVIDIA hadn't really 
gone very far. 

921
00:50:40,120 --> 00:50:42,520
They had accreted cash each of 
these years. 

922
00:50:42,520 --> 00:50:45,800
They actually instated A 
dividend that was growing each 

923
00:50:45,800 --> 00:50:48,840
of these years and Novitia was 
like $12.00 a share. 

924
00:50:48,840 --> 00:50:51,680
So it had doubled over the 
course of five years, but was 

925
00:50:51,680 --> 00:50:56,480
also paying out like a a 
dividend that was like decently 

926
00:50:56,480 --> 00:50:58,840
greater than the 10 year 
Treasury at the time or maybe 

927
00:50:59,160 --> 00:51:01,480
maybe just a little bit. 
I think it was the Euro crisis 

928
00:51:01,480 --> 00:51:03,160
time. 
So, you know, 10 year Treasury 

929
00:51:03,160 --> 00:51:05,360
was pretty damn low. 
And I'm like, wow, this 

930
00:51:05,360 --> 00:51:07,760
company's great and I made it an
average size position in My 

931
00:51:07,760 --> 00:51:10,840
Portfolio. 
And you know what? 

932
00:51:10,840 --> 00:51:13,760
What was different at NVIDIA at 
the time was the stock moved 

933
00:51:13,760 --> 00:51:20,040
almost entirely on the PC cycle.
They were trying to build this 

934
00:51:20,040 --> 00:51:25,200
chip called the Tegra to get 
into smartphones. 

935
00:51:25,720 --> 00:51:29,600
They'd actually built their own 
gaming device to showcase how 

936
00:51:29,600 --> 00:51:31,680
good the Tegra was. 
They built a tablet. 

937
00:51:31,680 --> 00:51:34,760
I still have the NVIDIA tablet 
in my office at home from back 

938
00:51:34,760 --> 00:51:37,280
in the day. 
They did everything possible to 

939
00:51:37,280 --> 00:51:40,320
get the Tegra chip. 
And you know, you'd see 

940
00:51:40,320 --> 00:51:43,120
underneath like, wow, this data 
center business is actually 

941
00:51:43,120 --> 00:51:44,760
starting to look like a real 
thing. 

942
00:51:45,240 --> 00:51:47,920
Like it's starting to be a 
bigger and bigger share of what 

943
00:51:48,200 --> 00:51:50,720
the company does. 
And so, you know, Fast forward 

944
00:51:50,720 --> 00:51:55,200
to the stock, the stock like 
goes up 50% from 12 to 18 all 

945
00:51:55,200 --> 00:51:59,520
the way back down to 12, from 12
to 18 again all the way back 

946
00:51:59,520 --> 00:52:01,720
down to 12. 
And each earnings call was like,

947
00:52:01,920 --> 00:52:05,040
the only thing analysts wanted 
to ask about was, did you get 

948
00:52:05,040 --> 00:52:07,440
any design wins with Tegra? 
Did you get any design wins with

949
00:52:07,440 --> 00:52:08,840
Tegra? 
What's happening with the PC 

950
00:52:08,840 --> 00:52:11,440
cycle? 
And meanwhile, you know, they're

951
00:52:11,440 --> 00:52:14,240
like, yeah, there's this thing 
called the data center business 

952
00:52:14,240 --> 00:52:15,240
that's actually doing pretty 
well. 

953
00:52:15,240 --> 00:52:17,120
But, you know, please ask about 
that. 

954
00:52:17,480 --> 00:52:20,040
No, no, no. 
Just Tegra this, Tegra that. 

955
00:52:20,360 --> 00:52:23,000
And it finally got back up to 18
the third time. 

956
00:52:23,360 --> 00:52:26,240
And I'm like, I'm out. 
I'm taking my 50% gain of moving

957
00:52:26,240 --> 00:52:28,640
on. 
And what happened was they ended

958
00:52:28,640 --> 00:52:34,520
up shutting the Tegra and and 
the data center story became the

959
00:52:34,520 --> 00:52:36,560
big thing for the stock. 
And I think I have a lot of 

960
00:52:36,560 --> 00:52:40,760
lessons out of that. 
One is about how myopic Wall 

961
00:52:40,760 --> 00:52:43,160
Street can be. 
They focus on what's their 

962
00:52:43,160 --> 00:52:46,040
interest, not what's most 
important to the business. 

963
00:52:46,560 --> 00:52:49,920
My impatience, like it's really 
hard in some of these companies,

964
00:52:49,920 --> 00:52:53,120
you could see where things are 
going, but it's really hard to 

965
00:52:53,120 --> 00:52:55,480
withstand some of the volatility
along the way. 

966
00:52:55,480 --> 00:52:58,040
Like presumably NVIDIA should 
not have been all that volatile.

967
00:52:58,360 --> 00:53:00,840
It was a cheap stock, right. 
You're talking a mid single 

968
00:53:00,840 --> 00:53:02,320
digit EBITDA multiple at the 
time. 

969
00:53:02,320 --> 00:53:04,680
That's part of what made the 
return thereafter so 

970
00:53:04,680 --> 00:53:07,960
spectacular. 
And so a very small change in 

971
00:53:07,960 --> 00:53:10,400
the rating was a very big change
in the stock, right? 

972
00:53:10,400 --> 00:53:13,600
Two turns of multiple was like a
30% move in this damn thing. 

973
00:53:13,880 --> 00:53:15,480
Even though it's like growing 
through it. 

974
00:53:15,840 --> 00:53:20,200
It's also one where like I have 
to be more mentally flexible and

975
00:53:20,200 --> 00:53:23,320
be willing to revisit something 
that I'd moved on from, even if 

976
00:53:23,320 --> 00:53:25,880
it's at a higher price. 
Like I really need to be able to

977
00:53:25,880 --> 00:53:27,920
like get back there because I 
don't. 

978
00:53:27,920 --> 00:53:30,280
I don't a moment like three 
years down the line where I'm 

979
00:53:30,280 --> 00:53:33,880
like wow, this still looks good 
and and I just like I wasn't 

980
00:53:33,880 --> 00:53:37,120
able to to stomach the fact that
I'd sold it at 18. 

981
00:53:37,200 --> 00:53:40,880
You know, I was sitting there at
like 50 bucks a share, not like 

982
00:53:40,880 --> 00:53:43,720
that was that much higher. 
And again, I'm talking 3 splits 

983
00:53:43,720 --> 00:53:46,520
ago. 
So where it is today is, is 

984
00:53:46,560 --> 00:53:48,680
multiples of where it was back 
then. 

985
00:53:49,080 --> 00:53:52,280
So it was, it was quite a quite 
a eye opening lesson. 

986
00:53:52,640 --> 00:53:55,440
And I do think it's really 
telling that if you go back to 

987
00:53:55,440 --> 00:54:00,920
those early 2010's days, no one 
wanted to be a semiconductor 

988
00:54:01,280 --> 00:54:05,000
investor. 
I remember like KLA and Lamb 

989
00:54:05,000 --> 00:54:09,680
were trading at like 5X EBIT. 
A Times have changed. 

990
00:54:09,760 --> 00:54:12,600
Yeah yeah I remembered like 
Tapper pitching those things and

991
00:54:12,920 --> 00:54:17,640
and it's like those things were 
so cyclical now in like the the 

992
00:54:17,640 --> 00:54:20,080
through of the cycle and that 
that was when things were not 

993
00:54:20,080 --> 00:54:22,200
troughing at all in the through 
of the cycle. 

994
00:54:22,200 --> 00:54:24,440
Now these things trade at over 
the EBITA. 

995
00:54:24,440 --> 00:54:27,960
So it's it's amazing how far the
whole sector had come. 

996
00:54:28,320 --> 00:54:31,680
And I do think there's similar 
kinds of phenomena, not to the 

997
00:54:31,680 --> 00:54:33,440
same degree. 
I think part of that was coming 

998
00:54:33,440 --> 00:54:38,160
out of like the semiconductor 
sector in generalcomingoutof.com

999
00:54:38,160 --> 00:54:39,480
and dot bomb. 
There were way too many 

1000
00:54:39,480 --> 00:54:41,720
companies. 
You had a wave of consolidation 

1001
00:54:41,720 --> 00:54:44,320
heading into the financial 
crisis, which really did a 

1002
00:54:44,320 --> 00:54:47,560
number on these companies too. 
So you had like 2 crises within 

1003
00:54:47,560 --> 00:54:51,160
a decade where where this area 
was was really troubled and it's

1004
00:54:51,160 --> 00:54:54,600
part of how you ended up with a 
NVIDIA that would basically you 

1005
00:54:54,600 --> 00:54:57,600
were buying cash not company 
when you when you were picking 

1006
00:54:57,600 --> 00:54:59,200
up shares. 
It's amazing. 

1007
00:55:00,040 --> 00:55:04,520
Yeah, it's amazing that that out
of that hunting ground, this 

1008
00:55:04,520 --> 00:55:06,400
company came right. 
Yep. 

1009
00:55:07,360 --> 00:55:11,880
Yep, exactly, exactly. 
And it feels like something 

1010
00:55:11,880 --> 00:55:14,800
similar is going on in the life 
sciences space right now. 

1011
00:55:15,160 --> 00:55:19,520
It feels to me like COVID was 
kind of likethe.com moment for 

1012
00:55:19,520 --> 00:55:21,960
them in some ways. 
Where where like everything got 

1013
00:55:21,960 --> 00:55:26,000
so damn euphoric. 
But you know, they're like life,

1014
00:55:26,000 --> 00:55:28,080
Healthcare is changing our 
world, biotech's changing the 

1015
00:55:28,080 --> 00:55:30,920
world, be able to spin up this 
vaccine so quickly, yadda yadda.

1016
00:55:30,920 --> 00:55:33,440
We all know the stories that 
happened during that time and 

1017
00:55:33,440 --> 00:55:38,880
it's something that also at it 
wasn't cyclical at all. 

1018
00:55:38,880 --> 00:55:41,600
Over the prior 10 years there, 
there was not really 

1019
00:55:41,600 --> 00:55:43,760
cyclicality. 
It was just biologics growing 

1020
00:55:44,200 --> 00:55:47,600
every single year and the whole 
industry benefiting accordingly.

1021
00:55:47,880 --> 00:55:51,520
And then now you end up with 
what looks like a really severe 

1022
00:55:51,520 --> 00:55:54,040
cycle. 
And that's an area where I've 

1023
00:55:54,040 --> 00:55:57,400
spent like just so much of my 
time in the last two years, 

1024
00:55:57,720 --> 00:56:00,360
starting slow, doing a lot of 
learning. 

1025
00:56:00,360 --> 00:56:03,360
And it's the third time in my 
career around the same time as 

1026
00:56:03,360 --> 00:56:07,720
as the NVIDIA forays. 
In the beginning, I just my my 

1027
00:56:07,720 --> 00:56:10,160
really dumb stuff early on 
worked so damn well. 

1028
00:56:10,160 --> 00:56:12,560
I followed these guys called the
Baker brothers into some 

1029
00:56:12,560 --> 00:56:16,080
biotechs that were trading at or
below their cash that they were 

1030
00:56:16,080 --> 00:56:18,400
buying tons of. 
I was like, I I'd heard that 

1031
00:56:18,400 --> 00:56:19,840
they had the best reputation in 
the space. 

1032
00:56:19,840 --> 00:56:21,400
I was like, well, what are they 
buying? 

1033
00:56:21,400 --> 00:56:24,720
A ton of bought shares in this 
company called Insight. 

1034
00:56:25,120 --> 00:56:28,320
My wife still yells at me that I
that I sold them, you know, it 

1035
00:56:28,320 --> 00:56:31,880
was $2.00 a share and and the 
thing went well past 100. 

1036
00:56:32,600 --> 00:56:35,840
Wow, yeah. 
You don't need many of those. 

1037
00:56:35,840 --> 00:56:38,240
I'll tell you what you do need 
in that instance. 

1038
00:56:38,240 --> 00:56:41,600
You need the willingness to live
with concentration. 

1039
00:56:42,360 --> 00:56:46,320
Yeah, I did not but but also 
like, yeah, it starts as not 

1040
00:56:46,320 --> 00:56:48,040
concentrated. 
So you need to think more about 

1041
00:56:48,040 --> 00:56:50,040
your starting points in some 
ways too with that. 

1042
00:56:50,240 --> 00:56:52,840
No doubt, no doubt. 
But to the extent that you care 

1043
00:56:52,840 --> 00:56:55,640
about your balance sheet, you 
got to be willing to look at a 

1044
00:56:55,640 --> 00:56:57,960
balance sheet that's 
concentrated in a position. 

1045
00:56:58,640 --> 00:57:00,640
Yeah. 
Yeah, you know, I mean, it's 

1046
00:57:00,640 --> 00:57:02,800
it's just something that you 
gotta, you gotta be able to 

1047
00:57:02,800 --> 00:57:04,880
stomach. 
It's part of that the game of 

1048
00:57:04,880 --> 00:57:07,440
having a, you know, 50 bagger or
whatever. 

1049
00:57:08,040 --> 00:57:10,720
Yeah, I was, I was just checking
out on the Delupa machine. 

1050
00:57:10,720 --> 00:57:14,840
I was just checking out NVIDIA 
and man, its revenue growth is 

1051
00:57:14,840 --> 00:57:17,600
wild. 
Good for them, good for them, 

1052
00:57:17,600 --> 00:57:22,040
and hopefully good for humanity.
Now I got to ask you about life 

1053
00:57:22,040 --> 00:57:26,560
sciences, because I was. 
I I've heard you now talk about 

1054
00:57:26,560 --> 00:57:28,840
this for what, 2 1/2 years? 
Yep. 

1055
00:57:29,640 --> 00:57:36,320
OK. 
What is going on in in biologics

1056
00:57:36,320 --> 00:57:41,960
and gene therapy and do you mind
setting the stage for sort of 

1057
00:57:41,960 --> 00:57:48,680
the cycle and what's gone on 
with the FDA as to why maybe 

1058
00:57:49,480 --> 00:57:55,280
it's a a bullwhip effect 
hangover of COVID or or not I I 

1059
00:57:55,280 --> 00:57:58,160
might be phrasing that wrong. 
Yeah. 

1060
00:57:58,160 --> 00:58:02,320
Let me take one step upwards and
speak high level of part of 

1061
00:58:02,320 --> 00:58:05,680
where my intrigue in the space 
stems from. 

1062
00:58:06,360 --> 00:58:09,560
And then I'll talk about the 
cyclical forces that are 

1063
00:58:09,560 --> 00:58:12,520
happening today and what's 
happening in the sector. 

1064
00:58:13,160 --> 00:58:17,520
I I read this book recently 
called The Cloud Revolution, How

1065
00:58:17,520 --> 00:58:19,720
the Convergence of New 
Technologies Will Unleash the 

1066
00:58:19,720 --> 00:58:23,280
Next Economic Boom and I think 
it was a fascinating book. 

1067
00:58:23,280 --> 00:58:26,600
I think it's worth reading if 
you want to understand how the 

1068
00:58:26,600 --> 00:58:29,760
cloud in general changes things 
for technology. 

1069
00:58:29,760 --> 00:58:31,880
And what I'm going to say has 
nothing to do with the cloud 

1070
00:58:32,000 --> 00:58:36,080
itself per SE. 
But but the author proposes this

1071
00:58:36,080 --> 00:58:41,560
rule of three and how phase 
change innovations require 3 

1072
00:58:41,560 --> 00:58:46,720
underlying the confluence of 
three underlying pieces in order

1073
00:58:46,720 --> 00:58:52,360
to come to fruition. 
And so I think we have three 

1074
00:58:52,640 --> 00:58:58,680
really unique forces that come 
together today to make life 

1075
00:58:58,680 --> 00:59:00,880
sciences an amazing. 
Space. 

1076
00:59:00,880 --> 00:59:02,040
Oh, he doesn't give you the 
three. 

1077
00:59:02,040 --> 00:59:03,840
You have to come up with your 
own 3. 

1078
00:59:04,040 --> 00:59:05,640
Yeah, well, he gives the three 
for the. 

1079
00:59:05,640 --> 00:59:06,840
Cloud. 
I thought it was a paint by 

1080
00:59:06,840 --> 00:59:09,080
numbers one no. 
Yeah, he gave the three for the 

1081
00:59:09,080 --> 00:59:11,320
cloud, but I've got my 3 for 
life sciences. 

1082
00:59:11,320 --> 00:59:12,440
What are the three for the 
cloud? 

1083
00:59:12,440 --> 00:59:14,520
Can you? 
I don't remember off the. 

1084
00:59:14,520 --> 00:59:16,000
Top All right, that's fine. 
That's fine. 

1085
00:59:16,200 --> 00:59:17,960
All right, let's go for the 
three for life sciences. 

1086
00:59:17,960 --> 00:59:22,480
Actually I do know one of the 
three is the GPU for the cloud, 

1087
00:59:22,480 --> 00:59:24,800
so so there is that. 
I can't remember the other two. 

1088
00:59:25,080 --> 00:59:27,840
A confluence of three factors. 
That's how you get a 

1089
00:59:27,840 --> 00:59:29,880
Lollapalooza. 
Exactly. 

1090
00:59:30,080 --> 00:59:31,320
OK, exactly. 
And I've been. 

1091
00:59:31,880 --> 00:59:35,160
Shout out to Charlie, Michigan. 
Yeah, they use the word 

1092
00:59:35,160 --> 00:59:38,080
Lollapalooza insight mugger in 
in the cloud book as well as 

1093
00:59:38,080 --> 00:59:41,440
well they should. 
And you know, I I mused about 

1094
00:59:41,440 --> 00:59:43,960
each of these things, but to 
have a framework to speak about 

1095
00:59:43,960 --> 00:59:46,640
it I think is quite helpful 
because these three things are 

1096
00:59:46,640 --> 00:59:50,200
profound, right? 
We mapped the first human genome

1097
00:59:50,680 --> 00:59:56,520
in 2000 and we thought genomics 
would unleash this amazing wave 

1098
00:59:56,520 --> 00:59:59,680
of innovation. 
But really it's only pillar 

1099
00:59:59,680 --> 01:00:03,840
number one or you know, if you 
view them as like 3 overlapping 

1100
01:00:03,840 --> 01:00:07,920
circles, one one of the three 
pillars underlying this 

1101
01:00:08,160 --> 01:00:10,440
confluence. 
Lollapalooza, if you will. 

1102
01:00:10,800 --> 01:00:14,880
So genomics like it took a long 
time for it to start producing 

1103
01:00:14,880 --> 01:00:16,840
results. 
In life sciences, it very much 

1104
01:00:16,840 --> 01:00:20,200
is today. 
But especially as the cost of 

1105
01:00:20,320 --> 01:00:25,360
sequencing A genome goes down, 
we're greatly increasing our 

1106
01:00:25,360 --> 01:00:29,080
trove of data. 
We didn't know what we could do 

1107
01:00:29,080 --> 01:00:32,920
with all this data. 
And even before AI emerged as 

1108
01:00:32,920 --> 01:00:36,680
this buzzwordy thing, machine 
learning, machine learning, big 

1109
01:00:36,680 --> 01:00:40,200
data slash AI, whatever you want
to call it, was becoming one of 

1110
01:00:40,200 --> 01:00:44,680
these other pillars underlying 
what will support life sciences 

1111
01:00:45,040 --> 01:00:48,800
for the next decade. 
These capabilities, 

1112
01:00:49,120 --> 01:00:53,040
computational capabilities in 
order to take big data sets and 

1113
01:00:53,040 --> 01:00:55,760
divine insights. 
They're increasingly important 

1114
01:00:55,760 --> 01:00:59,400
because the first applications 
of genomics were kind of like 

1115
01:00:59,440 --> 01:01:03,520
brute force figuring out one 
target at a time, kind of like 

1116
01:01:03,520 --> 01:01:08,280
the CPU world before GPUs were 
able to take this. 

1117
01:01:08,280 --> 01:01:11,920
I I'd say much more dynamic 
approach in order to find in 

1118
01:01:11,920 --> 01:01:13,760
connections between and amongst 
things. 

1119
01:01:13,760 --> 01:01:17,440
So before you be able to 
identify one target at a time, 

1120
01:01:17,440 --> 01:01:20,880
do it by dumb luck and you know 
you you'd be able to come up 

1121
01:01:20,880 --> 01:01:23,080
with something nice for a 
genomics based treatment. 

1122
01:01:23,400 --> 01:01:25,680
But now you also have to 
increasingly focus on how 

1123
01:01:25,680 --> 01:01:28,680
different pieces of the genome 
interact with with one another. 

1124
01:01:28,680 --> 01:01:31,520
So big data machine learning AI 
super helpful. 

1125
01:01:31,800 --> 01:01:34,760
So that's number two and #3 is 
CRISPR. 

1126
01:01:35,000 --> 01:01:38,400
If you go back to 2012, we the 
early days of 2012, we didn't 

1127
01:01:38,400 --> 01:01:42,320
even know that you could 
actually, we there were some 

1128
01:01:42,320 --> 01:01:45,560
people who theorized that you 
could do this, but we didn't 

1129
01:01:45,560 --> 01:01:50,080
know that you actually could 
change someone's genome. 

1130
01:01:50,720 --> 01:01:53,240
And we learned that yes, you 
could. 

1131
01:01:53,680 --> 01:01:58,160
And then we figured out how to 
apply that in other organisms. 

1132
01:01:58,160 --> 01:02:00,680
And now humans, like we're 
sitting here today. 

1133
01:02:00,880 --> 01:02:04,400
Just a couple months ago was the
first ever approval of a CRISPR 

1134
01:02:04,400 --> 01:02:07,600
based treatment that effectively
take someone who's born with 

1135
01:02:07,600 --> 01:02:10,560
sickle cell disease and makes 
them free of it. 

1136
01:02:11,640 --> 01:02:13,440
That's that's amazing. 
We didn't even have the 

1137
01:02:13,440 --> 01:02:16,400
underlying technology to be able
to do that a decade ago. 

1138
01:02:16,720 --> 01:02:18,760
But you need to be able to 
figure out the gene in the 1st 

1139
01:02:18,760 --> 01:02:21,680
place you need CRISPR. 
And now to take it to the next 

1140
01:02:21,680 --> 01:02:25,600
level, you need big data AI. 
And so part of my intrigue in 

1141
01:02:25,600 --> 01:02:28,080
the space is that if you look at
the last decade, we've had some 

1142
01:02:28,080 --> 01:02:31,640
of the most profound innovations
ever and yet the whole space has

1143
01:02:31,640 --> 01:02:36,320
been absolutely mauled in the 
Last Post COVID period. 

1144
01:02:36,560 --> 01:02:39,280
And if you go back even further,
if you think about biotech as 

1145
01:02:39,280 --> 01:02:43,040
kind of the reference point for 
the space, it's been almost a 

1146
01:02:43,040 --> 01:02:47,880
decade of stagnation for biotech
as represented by the XBI or 

1147
01:02:47,920 --> 01:02:50,360
IBB. 
Those things have gone nowhere 

1148
01:02:50,680 --> 01:02:53,200
over the last decade. 
Now someone that I've talked to 

1149
01:02:53,200 --> 01:02:56,160
has said this an index 
construction issue, not so much 

1150
01:02:56,240 --> 01:03:01,480
a technology or or like certain 
companies within the index maybe

1151
01:03:01,480 --> 01:03:03,320
have gone well. 
Is that is that a fair 

1152
01:03:03,320 --> 01:03:04,840
criticism? 
Sure. 

1153
01:03:04,840 --> 01:03:08,080
But that's true anytime an index
goes nowhere for a long time, 

1154
01:03:08,080 --> 01:03:10,600
right? 
When the S&P went nowhere from 

1155
01:03:10,720 --> 01:03:14,720
2000 through 2014, when it made 
new highs again, there were 

1156
01:03:14,720 --> 01:03:17,320
plenty of individual stocks that
did exceedingly well. 

1157
01:03:17,320 --> 01:03:19,400
So like, some stock pickers did 
really well. 

1158
01:03:19,800 --> 01:03:21,880
Some areas did horribly. 
I mean, if you didn't own 

1159
01:03:21,880 --> 01:03:24,440
financials, you got a better 
return than you did if you own 

1160
01:03:24,440 --> 01:03:25,880
the index during that period, 
right? 

1161
01:03:26,320 --> 01:03:29,160
But yeah, I mean, that's a 
fairpoint, but I don't think 

1162
01:03:29,160 --> 01:03:31,840
it's a fair critique of the fact
that things really have gone 

1163
01:03:31,840 --> 01:03:36,280
nowhere for the space. 
I mean as you talk it, it like 

1164
01:03:36,280 --> 01:03:41,000
feels very tech bubbly and then 
tech went on a pretty 

1165
01:03:41,000 --> 01:03:42,280
interesting run. 
It'll be. 

1166
01:03:42,400 --> 01:03:44,880
It'll be interesting to see if 
this is Part 2. 

1167
01:03:45,600 --> 01:03:47,200
Yeah. 
I mean part of what I've been 

1168
01:03:47,360 --> 01:03:49,960
thinking and saying just to like
make it sound a little better, 

1169
01:03:49,960 --> 01:03:54,160
but I really do believe it is 
this idea that I think the life 

1170
01:03:54,160 --> 01:03:57,080
science companies, not biotech 
per SE, I think biotech's really

1171
01:03:57,080 --> 01:03:59,120
hard. 
But the life science tools and 

1172
01:03:59,120 --> 01:04:02,680
instrument companies that 
support the discovery, the 

1173
01:04:02,680 --> 01:04:06,720
research, development and 
manufacturing of these 

1174
01:04:06,840 --> 01:04:12,520
treatments and therapeutics and 
those companies I think are are 

1175
01:04:12,520 --> 01:04:15,920
set up to be kind of like the 
semi companies of the next 10 to

1176
01:04:15,920 --> 01:04:18,440
20 years. 
And like you could point to 

1177
01:04:18,440 --> 01:04:21,600
NVIDIA and say like they started
with Nvidia's starting point 

1178
01:04:21,600 --> 01:04:25,480
multiple was considerably lower 
than the starting point multiple

1179
01:04:25,480 --> 01:04:27,640
of some of these life science 
companies. 

1180
01:04:28,080 --> 01:04:30,240
But at the end of the day, like 
you said, look at their revenue 

1181
01:04:30,240 --> 01:04:32,080
growth, their revenue growth's 
been phenomenal. 

1182
01:04:32,360 --> 01:04:34,800
Who cares about how much the 
multiples appreciated in terms 

1183
01:04:34,800 --> 01:04:37,880
of driving the total return? 
It's far more driven by the 

1184
01:04:37,880 --> 01:04:40,360
actual results of the business, 
how much they've been able to 

1185
01:04:40,360 --> 01:04:44,000
increase their scale. 
Yeah, that's multiples I think 

1186
01:04:44,000 --> 01:04:46,160
create multiple derangement 
syndrome. 

1187
01:04:47,360 --> 01:04:49,120
Yeah. 
So you, you asked about the 

1188
01:04:49,120 --> 01:04:52,040
cyclical stuff, right. 
And that's where it gets even 

1189
01:04:52,160 --> 01:04:54,720
more challenging too because 
like you could point and say 

1190
01:04:54,720 --> 01:04:58,960
like oh, the multiples of some 
of these companies are not super

1191
01:04:58,960 --> 01:05:01,520
cheap right now. 
But the fact is some of the 

1192
01:05:01,520 --> 01:05:03,480
companies that I find most 
interesting, they've never been 

1193
01:05:03,480 --> 01:05:08,320
cyclical in their history and 
they are in a really, really 

1194
01:05:08,320 --> 01:05:12,400
harsh down cycle today. 
And they have a lot of fixed 

1195
01:05:12,400 --> 01:05:15,760
cost. 
So the de levering on the, the 

1196
01:05:15,760 --> 01:05:18,920
descaling on the top line DE 
levers their margin so they get 

1197
01:05:18,920 --> 01:05:21,520
hit twice. 
So the multiple I don't think 

1198
01:05:21,520 --> 01:05:24,840
truly represents the underlying 
reality of the business as 

1199
01:05:24,840 --> 01:05:27,480
things stand today. 
So these tools and instruments 

1200
01:05:27,480 --> 01:05:30,840
companies that help support the 
biotech industry from beginning 

1201
01:05:30,840 --> 01:05:34,080
to end, what's happened is 
during COVID because supply 

1202
01:05:34,080 --> 01:05:38,200
chains got so wonky, all these 
companies that are making things

1203
01:05:38,200 --> 01:05:42,960
that are researching things 
started ordering extra inventory

1204
01:05:43,600 --> 01:05:47,280
in order to have the raw 
material, the substrate of 

1205
01:05:47,280 --> 01:05:51,480
everything they do available. 
And when you think about it, 

1206
01:05:51,560 --> 01:05:54,480
I'll, I'll give you one of the 
more extreme examples, but I 

1207
01:05:54,480 --> 01:05:57,760
think it's, it's very 
illustrative of what's happened.

1208
01:05:58,160 --> 01:06:03,640
If you have an approved cell 
therapy and you're manufacturing

1209
01:06:03,760 --> 01:06:08,880
that cell therapy as needed by 
patients, you're subject to 

1210
01:06:08,880 --> 01:06:12,840
periodic inspections by the FDA 
in your manufacturing process. 

1211
01:06:13,120 --> 01:06:15,680
And if you're not operating on 
the day they show up, that's a 

1212
01:06:15,680 --> 01:06:18,280
really big problem and can set 
you back and can take you off 

1213
01:06:18,280 --> 01:06:22,240
market for a period of time. 
And so it was really important 

1214
01:06:22,240 --> 01:06:27,080
that you didn't end up any on 
any day without any of the key 

1215
01:06:27,080 --> 01:06:28,800
materials in order to operate 
your stuff. 

1216
01:06:28,800 --> 01:06:33,520
So what what what happened is if
you think about industry levels 

1217
01:06:33,520 --> 01:06:37,280
of consumables, just using round
numbers here, but they went 

1218
01:06:37,280 --> 01:06:40,080
something from like having six 
months of extra inventory on 

1219
01:06:40,080 --> 01:06:44,240
hand to 18 months in some cases 
of extra inventory on hand. 

1220
01:06:44,280 --> 01:06:47,920
And that made sense at the time 
because you didn't know how long

1221
01:06:47,920 --> 01:06:50,640
the supply chain problems would 
persist. 

1222
01:06:50,920 --> 01:06:53,440
You didn't know to what degree 
your business would actually 

1223
01:06:53,440 --> 01:06:55,840
grow during this period. 
So you had to support future 

1224
01:06:55,840 --> 01:06:59,400
scale with it. 
And you wanted to make sure a 

1225
01:06:59,400 --> 01:07:01,560
more frequent ordering cadence 
kept you higher up in the 

1226
01:07:01,560 --> 01:07:04,120
priority with the companies you 
were ordering from. 

1227
01:07:04,400 --> 01:07:06,160
So you wanted to make sure that 
you were ordering on a 

1228
01:07:06,160 --> 01:07:09,120
continuing basis even as things 
kept rolling. 

1229
01:07:09,560 --> 01:07:13,920
And So what happened was once we
got to a more normalized period,

1230
01:07:13,920 --> 01:07:16,680
some of these companies were 
like, whoa, whoa, whoa, we're 

1231
01:07:16,680 --> 01:07:18,880
still buying, but we have way 
too much. 

1232
01:07:19,480 --> 01:07:22,480
Yeah. 
And then to make matters worse, 

1233
01:07:22,600 --> 01:07:25,320
because of the COVID, like the 
bubbly stuff that we talked 

1234
01:07:25,320 --> 01:07:29,840
about, there were way too many 
companies that raised money in 

1235
01:07:29,840 --> 01:07:33,320
biotech who didn't necessarily 
deserve it, that rode the 

1236
01:07:33,320 --> 01:07:37,320
zeitgeist of that brief window 
of time in order to raise money.

1237
01:07:37,320 --> 01:07:39,000
So there's way too much 
experimentation. 

1238
01:07:39,000 --> 01:07:41,680
And even good companies, they 
had so much money that they were

1239
01:07:41,680 --> 01:07:45,880
doing more targets than they'd 
actually needed during that time

1240
01:07:45,880 --> 01:07:48,480
period. 
And so you know, there was a bit

1241
01:07:48,480 --> 01:07:51,480
of a, a financial force where 
there was too much money 

1242
01:07:51,480 --> 01:07:54,960
floating around and so that 
supported even more purchasing 

1243
01:07:54,960 --> 01:07:56,560
behavior. 
So there's 1° where you had to 

1244
01:07:56,560 --> 01:07:59,920
burn off the financial accesses 
and then you had to burn off the

1245
01:08:00,120 --> 01:08:03,800
supply chain accesses once you 
got to this more normal period. 

1246
01:08:04,080 --> 01:08:07,480
So venture capital funding 
completely dried up and 

1247
01:08:07,480 --> 01:08:11,080
companies manufacturing, they're
like, well, let's go back from 

1248
01:08:11,080 --> 01:08:14,440
this 18 months of inventory to a
normal six months level. 

1249
01:08:14,440 --> 01:08:18,359
And you could imagine to go from
a year of extra inventory to 

1250
01:08:18,359 --> 01:08:21,840
normal levels takes more than a 
year to to get there. 

1251
01:08:22,600 --> 01:08:24,200
And you can't really just stop 
ordering. 

1252
01:08:24,200 --> 01:08:26,279
Some of these things have 
limited shelf life too. 

1253
01:08:26,279 --> 01:08:29,640
So you kind of start hitting a 
logical limit in terms of how 

1254
01:08:29,640 --> 01:08:33,080
long you can keep it. 
And here we are today where you 

1255
01:08:33,080 --> 01:08:37,200
know, sometime between when 
we're recording this today and 

1256
01:08:37,479 --> 01:08:39,359
3-4 months ago, we'll have been 
the through. 

1257
01:08:39,399 --> 01:08:40,760
And I think it's really 
interesting. 

1258
01:08:40,760 --> 01:08:43,200
I reflect back on my early 
NVIDIA days when everyone wanted

1259
01:08:43,200 --> 01:08:46,720
to ask about Tegra. 
If you look at what happens on a

1260
01:08:46,720 --> 01:08:49,920
typical earnings call these days
for one of these companies, like

1261
01:08:49,920 --> 01:08:54,399
every question is like when will
the supply chain problems be 

1262
01:08:54,399 --> 01:08:55,240
over? 
Like when? 

1263
01:08:55,240 --> 01:08:56,319
When are we gonna be done 
burning? 

1264
01:08:56,399 --> 01:08:58,439
Up. 
Inventory, none of the questions

1265
01:08:58,439 --> 01:09:01,279
are about like what underlying 
growth looks like, where you see

1266
01:09:01,279 --> 01:09:04,040
the industry going. 
In five years, Thermo Thermo, 

1267
01:09:04,040 --> 01:09:06,279
they ask about China, right? 
They're like, what's going on 

1268
01:09:06,279 --> 01:09:10,560
with China, but it's within the 
context of burning through the 

1269
01:09:11,040 --> 01:09:13,640
what's in the system? 
Yeah, but like, so that's more 

1270
01:09:13,640 --> 01:09:16,520
like the PC cycle than Tegra for
NVIDIA where it's like it's 

1271
01:09:16,520 --> 01:09:19,439
something that matters, but it's
not the biggest thing that 

1272
01:09:19,439 --> 01:09:20,920
matters. 
It's not where things are going 

1273
01:09:20,920 --> 01:09:23,399
to be in a few years. 
And it's like it's one of the 

1274
01:09:23,399 --> 01:09:25,680
things that I, I don't know, 
it's almost a waste of time in 

1275
01:09:25,680 --> 01:09:27,399
some ways for a lot of these 
companies. 

1276
01:09:27,399 --> 01:09:29,680
I mean the way I approach it is 
I assume China won't even be a 

1277
01:09:29,680 --> 01:09:33,520
market for them in five years 
because it is really hard to 

1278
01:09:33,520 --> 01:09:36,920
know if if it will or won't be. 
And I don't necessarily want to 

1279
01:09:36,920 --> 01:09:40,680
have to rely on it being a 
market when who knows what will 

1280
01:09:40,680 --> 01:09:44,080
happen on the policy side, even 
in the US we're making there's a

1281
01:09:44,080 --> 01:09:49,160
bill out there today that might 
make Chinese companies incapable

1282
01:09:49,160 --> 01:09:53,760
of selling certain key life 
science pieces to US and 

1283
01:09:53,920 --> 01:09:56,840
European companies. 
So like that street cuts both 

1284
01:09:56,840 --> 01:09:58,160
ways. 
So I I definitely should be 

1285
01:09:58,160 --> 01:10:04,360
conscious of what that means and
yet that China and this 

1286
01:10:04,360 --> 01:10:06,960
inventory cycle are basically 
like most of the questions on 

1287
01:10:06,960 --> 01:10:10,160
Turbo nowadays. 
Yeah, they it does seem to be 

1288
01:10:10,200 --> 01:10:12,680
what people are talking about 
when they ask the company 

1289
01:10:12,680 --> 01:10:15,000
questions. 
And they're very clear that they

1290
01:10:15,000 --> 01:10:17,960
think that underlying industry 
growth hasn't changed at all 

1291
01:10:18,120 --> 01:10:21,480
through this whole period and if
anything has accelerated like. 

1292
01:10:21,920 --> 01:10:25,960
That particular management team 
strikes me as financially 

1293
01:10:26,360 --> 01:10:28,680
oriented, but but I don't 
disagree with what you're 

1294
01:10:28,680 --> 01:10:30,640
saying. 
Yep, Yep. 

1295
01:10:30,840 --> 01:10:32,240
And you know, I think it's 
interesting. 

1296
01:10:32,280 --> 01:10:35,280
One of the things I've seen is 
like the specialist love Thermo 

1297
01:10:35,840 --> 01:10:41,120
and generalists do find Danaher 
more interesting if you're going

1298
01:10:41,120 --> 01:10:44,240
to come into the space. 
DBS gives you the warm and 

1299
01:10:44,240 --> 01:10:46,680
fuzzies. 
Yeah, the, the specialists tend 

1300
01:10:46,680 --> 01:10:49,680
not to like Danaher. 
Yeah, that's interesting. 

1301
01:10:50,320 --> 01:10:52,760
Yeah. 
And I think Danaher is like one 

1302
01:10:52,760 --> 01:10:55,760
of the most appealing in the 
space they're in, like the areas

1303
01:10:55,760 --> 01:11:00,480
that I'd most want to be exposed
to in life sciences and DBS is 

1304
01:11:00,480 --> 01:11:04,280
real and it's got a proven track
record and they've just created 

1305
01:11:04,280 --> 01:11:08,200
like a pureplay in life sciences
coming sometime it it, it 

1306
01:11:08,200 --> 01:11:11,280
happened almost exactly aligned 
with the through in the space. 

1307
01:11:11,920 --> 01:11:17,000
What do you think about there's 
there's a line in Mckinsey's 

1308
01:11:17,000 --> 01:11:21,760
valuation book where they say 
life sciences is one of those 

1309
01:11:21,760 --> 01:11:24,320
industries that's created just 
immense value. 

1310
01:11:24,320 --> 01:11:28,720
But a lot of it accrues to those
that get acquired and not 

1311
01:11:28,720 --> 01:11:31,920
necessarily the acquirers. 
If you look on returns on total 

1312
01:11:31,920 --> 01:11:36,200
capital and you include 
intangibles, the picture is not 

1313
01:11:36,200 --> 01:11:39,240
as rosy as the return on 
tangible capital looks. 

1314
01:11:40,200 --> 01:11:42,120
Yeah. 
Although you could see the value

1315
01:11:42,120 --> 01:11:46,800
creation that thermos generated 
in the market since I I mean I 

1316
01:11:46,800 --> 01:11:49,280
read McKinsey on valuation 
before we. 

1317
01:11:49,280 --> 01:11:51,200
Really. 
This is the 7th edition. 

1318
01:11:51,200 --> 01:11:52,720
They still haven't changed the 
sentence. 

1319
01:11:52,720 --> 01:11:56,840
Yeah, you know, look at what 
Danaher's done, right? 

1320
01:11:57,120 --> 01:11:58,680
Yeah. 
Well, that's I'd look at the 

1321
01:11:58,680 --> 01:12:01,040
stock and then I look at that 
and then I look at what they're 

1322
01:12:01,040 --> 01:12:03,600
saying and I think there's like 
a little truth to everything. 

1323
01:12:04,000 --> 01:12:07,600
Yeah, yeah. 
I mean it's definitely, I think 

1324
01:12:07,600 --> 01:12:12,960
that's probably more true and 
like the biotech subspace within

1325
01:12:12,960 --> 01:12:14,960
life sciences than the tools and
instruments. 

1326
01:12:14,960 --> 01:12:20,360
I think the acquirers and the 
acquired have cream created 

1327
01:12:20,360 --> 01:12:23,680
tremendous value and McKinsey 
valuation does point it as one 

1328
01:12:23,680 --> 01:12:27,240
of the highest ROIC areas. 
So at the end of the day, it's 

1329
01:12:27,640 --> 01:12:30,720
persistent. 
Yeah, I do think some of these 

1330
01:12:30,720 --> 01:12:35,600
companies may have gone a little
far out on the curve in terms of

1331
01:12:35,600 --> 01:12:37,040
it. 
Let's, let's just call it spade 

1332
01:12:37,040 --> 01:12:40,960
a spade paying too much for 
companies during the heavier 

1333
01:12:40,960 --> 01:12:45,600
days, which meant you, you know,
with lower rates, they were OK 

1334
01:12:45,600 --> 01:12:50,440
and willing to say like my ROI, 
my, my WAC is really low and I'm

1335
01:12:50,440 --> 01:12:55,320
willing to take five years to 
get to my ROIC target, which is 

1336
01:12:55,400 --> 01:12:59,440
like WAC +2. 
That's not great, but you don't 

1337
01:12:59,440 --> 01:13:01,840
have to be encumbered by those 
decisions today. 

1338
01:13:02,160 --> 01:13:04,520
And I do think the companies 
have been very clear, like the 

1339
01:13:04,520 --> 01:13:07,080
environment's changed and they 
definitely are accommodating it 

1340
01:13:07,440 --> 01:13:09,840
in certain ways. 
And they're definitely changing 

1341
01:13:10,040 --> 01:13:12,120
some of their strategies and 
gearing them differently. 

1342
01:13:12,120 --> 01:13:14,160
Like, I think one of the 
changes, I'm really intrigued to

1343
01:13:14,160 --> 01:13:17,000
see how it plays out in Danaher.
Danaher had always been a 

1344
01:13:17,000 --> 01:13:20,280
decentralized operator of 
acquired businesses, so they 

1345
01:13:20,280 --> 01:13:22,000
weren't relying on financial 
synergies. 

1346
01:13:22,000 --> 01:13:24,680
To your point about Thermo, 
Thermo is very much like a 

1347
01:13:24,920 --> 01:13:29,600
financial player. 
Danaher today is undergoing its 

1348
01:13:29,600 --> 01:13:35,800
biggest kind of like true merger
where they're taking Paul and G 

1349
01:13:35,920 --> 01:13:39,640
Bioprocessing assets and 
combining them into one entity 

1350
01:13:39,640 --> 01:13:41,920
called Sativa. 
They've never done this kind of 

1351
01:13:41,920 --> 01:13:44,160
exercise before and I think it's
really interesting their 

1352
01:13:44,160 --> 01:13:47,400
investment they're they're 
obviously still going to be 

1353
01:13:47,440 --> 01:13:51,120
acquisitive using their 
framework, but they're also 

1354
01:13:51,120 --> 01:13:55,880
going to be investing in 
research and development in a 

1355
01:13:55,880 --> 01:13:58,640
way with this combined asset 
that I don't think they really 

1356
01:13:58,640 --> 01:14:00,600
have before. 
And I think that's really 

1357
01:14:00,600 --> 01:14:02,520
exciting and and very 
interesting. 

1358
01:14:03,200 --> 01:14:06,120
And I think you know one of the 
things that attracts me to the 

1359
01:14:06,120 --> 01:14:10,120
space is leaving aside questions
of how perfect some of these 

1360
01:14:10,120 --> 01:14:14,040
acquire acquisitive companies 
are at at generating returns. 

1361
01:14:14,600 --> 01:14:18,040
Like this space has amazing 
structural tailwinds like 

1362
01:14:18,040 --> 01:14:22,400
starting with a growing 
population that is aging, like 

1363
01:14:22,400 --> 01:14:25,000
the aging population is growing 
faster than the population at 

1364
01:14:25,000 --> 01:14:29,680
large and people need more 
pharmaceutical and biological 

1365
01:14:29,680 --> 01:14:34,000
material as they get older. 
Like that's unquestioned and you

1366
01:14:34,000 --> 01:14:36,200
have like a growing middle class
globally. 

1367
01:14:36,200 --> 01:14:41,360
So an emergent middle class 
requires more for their 

1368
01:14:41,360 --> 01:14:44,320
healthcare than does a really 
poor populace. 

1369
01:14:44,320 --> 01:14:47,080
So, so that this is something 
that's happening globally and 

1370
01:14:47,080 --> 01:14:49,720
some sovereigns are actually 
investing in creating some of 

1371
01:14:49,720 --> 01:14:53,600
these not not the highest value 
pieces but having the pieces in 

1372
01:14:53,600 --> 01:14:56,040
place to do some of this 
domestically themselves. 

1373
01:14:56,880 --> 01:15:01,080
And there are amazing regulatory
barriers to entry like in order 

1374
01:15:01,080 --> 01:15:04,720
to be CGMP certified to reach 
the standards for like good 

1375
01:15:04,720 --> 01:15:08,440
manufacturing by the FDA, it's 
like a nine figure upfront 

1376
01:15:08,440 --> 01:15:10,960
investment. 
So you can't just say tomorrow 

1377
01:15:10,960 --> 01:15:13,720
I'm going to go start something 
in this space. 

1378
01:15:14,040 --> 01:15:15,680
You know you need massive 
investment. 

1379
01:15:15,680 --> 01:15:19,320
It takes years to get in 
position in order to even get 

1380
01:15:19,320 --> 01:15:23,440
certified to sell into this 
industry And that's not even 

1381
01:15:23,440 --> 01:15:26,120
mentioning the R&D that you that
you need first. 

1382
01:15:26,120 --> 01:15:27,640
That's just the regulatory 
barriers. 

1383
01:15:27,960 --> 01:15:31,400
So they're immense barriers to 
entry and there are so many 

1384
01:15:31,400 --> 01:15:33,800
different razor and blade 
business models where like once 

1385
01:15:33,800 --> 01:15:38,880
you sell the instrument you get 
a really long afterlife of 

1386
01:15:39,240 --> 01:15:42,360
consumable pull through and the 
margins tend to be phenomenal. 

1387
01:15:42,360 --> 01:15:45,680
So McKinsey evaluation talks 
about the spaces basically the 

1388
01:15:45,680 --> 01:15:50,360
highest and most persistently 
high ROICROIC space there is. 

1389
01:15:50,880 --> 01:15:54,720
And I think that's that's very 
real like hard to argue with it.

1390
01:15:54,720 --> 01:15:56,880
It's it's really interesting to 
find a lot of different 

1391
01:15:56,880 --> 01:16:02,880
companies in the space there. 
There was I think in abundance 

1392
01:16:02,880 --> 01:16:06,120
of new IPOs that came public in 
2021 and some of these companies

1393
01:16:06,120 --> 01:16:08,600
ended up like way over 
capitalized. 

1394
01:16:08,600 --> 01:16:11,480
Some of them are like heaping 
piles of junk that you should 

1395
01:16:11,480 --> 01:16:16,200
absolutely stay as far away from
as humanly possible and will go 

1396
01:16:16,200 --> 01:16:19,760
bankrupt and are going bankrupt.
But there are some babies out 

1397
01:16:19,760 --> 01:16:22,040
with the bathwater and there's 
some really, really amazing 

1398
01:16:22,040 --> 01:16:25,200
companies in there. 
Well, one that has a management 

1399
01:16:25,200 --> 01:16:28,040
team that I'm almost certain is 
ex Thermo. 

1400
01:16:28,200 --> 01:16:31,840
Like how do I pronounce it? 
Maravai or is it, is it Marva? 

1401
01:16:31,840 --> 01:16:34,720
Yeah, yeah, yeah. 
I mean, Stanaher and Thermo, 

1402
01:16:34,720 --> 01:16:36,720
they're like all all of that is 
there. 

1403
01:16:36,880 --> 01:16:39,080
Came out and missed and missed 
and missed and missed. 

1404
01:16:39,880 --> 01:16:42,360
So you know what happens in the 
future. 

1405
01:16:42,920 --> 01:16:46,040
To your point on being somewhat 
empathetic or forgiving or 

1406
01:16:46,040 --> 01:16:48,360
whatever. 
Like man, that was a hard time 

1407
01:16:48,360 --> 01:16:51,720
to come out and hit your your 
projections. 

1408
01:16:51,720 --> 01:16:54,960
And and might people have been 
too rosy to raise capital? 

1409
01:16:54,960 --> 01:16:56,680
Yes. 
Would they be the only ones? 

1410
01:16:56,680 --> 01:16:59,320
I don't think so. 
Yeah, I'll say something unkind 

1411
01:16:59,320 --> 01:17:03,120
and then get kinder about Marvi 
first, which is that GTCR knew 

1412
01:17:03,120 --> 01:17:05,960
what they were doing when they 
sold that asset to the market in

1413
01:17:05,960 --> 01:17:08,520
2021, right. 
So this was a private equity 

1414
01:17:08,520 --> 01:17:11,280
owned asset. 
They exited, had a really good 

1415
01:17:11,280 --> 01:17:14,080
time and they did the same with 
Sotera Health at the same time. 

1416
01:17:14,080 --> 01:17:17,080
And it's like, Oh, yeah, they're
two healthcare slash Life 

1417
01:17:17,080 --> 01:17:20,640
science IPOs obviously have DE 
rated significantly. 

1418
01:17:21,040 --> 01:17:24,640
And yet there have been several 
junctures along the way since 

1419
01:17:24,640 --> 01:17:27,640
that DE rating started. 
Three specific like known 

1420
01:17:27,640 --> 01:17:31,320
instances where acquirers try to
step in and buy Marvi and 

1421
01:17:31,320 --> 01:17:33,880
they're like, no, no, no, we're,
we're not selling this company 

1422
01:17:33,880 --> 01:17:38,160
at all because things, you know,
the pendulum goes too far in 

1423
01:17:38,160 --> 01:17:42,400
both ways, not just one way. 
And it's, I think, a really 

1424
01:17:42,400 --> 01:17:44,520
interesting company. 
I've never seen a company lose 

1425
01:17:44,520 --> 01:17:49,560
2/3 of their sale sales and 
still have 30% EBITDA margins. 

1426
01:17:49,920 --> 01:17:53,200
Like, that's insane to me, that 
a company could lose that much 

1427
01:17:53,200 --> 01:17:55,800
in sales and still be that 
profitable, which says something

1428
01:17:55,800 --> 01:17:59,760
about how like structurally 
profitable their businesses and 

1429
01:17:59,760 --> 01:18:02,280
how unique it is. 
And you know, you might be 

1430
01:18:02,280 --> 01:18:04,640
wondering like, how on earth 
could a company lose 2/3 of 

1431
01:18:04,640 --> 01:18:07,640
their sales? 
Well, they were one of the key 

1432
01:18:07,640 --> 01:18:10,680
pieces in creating the bio N 
tech COVID vaccine. 

1433
01:18:11,280 --> 01:18:15,000
And so there was obviously this 
frenzy of demand to get the 

1434
01:18:15,320 --> 01:18:18,280
COVID vaccine to the market. 
And now that's basically dried 

1435
01:18:18,280 --> 01:18:19,880
up to 0. 
So they have to rely on their 

1436
01:18:19,880 --> 01:18:22,360
existing underlying business and
core growth. 

1437
01:18:22,440 --> 01:18:24,800
That took us there. 
And what they do specifically is

1438
01:18:25,120 --> 01:18:27,640
what's called RNA capping. 
It's the very end piece that 

1439
01:18:27,640 --> 01:18:32,160
helps the RNA get you know, into
a cell and affect its change, if

1440
01:18:32,160 --> 01:18:35,840
you will. 
And they have a patent on the 

1441
01:18:35,840 --> 01:18:40,320
way to cap RNA that most closely
mimics Mother Nature herself. 

1442
01:18:40,760 --> 01:18:43,520
And so once you have this patent
protection and you continuously 

1443
01:18:43,520 --> 01:18:46,040
develop and iterate your product
and build a suite of services 

1444
01:18:46,040 --> 01:18:48,680
around it, that's a uniquely 
defensible business. 

1445
01:18:48,680 --> 01:18:51,960
And it's something that you know
I think say what you will about 

1446
01:18:51,960 --> 01:18:56,880
the COVID vaccine itself, but 
mRNA is been proven and de 

1447
01:18:56,880 --> 01:19:01,520
risked as a platform and it 
could have like it. 

1448
01:19:01,520 --> 01:19:05,960
It's one of those specific 
platform that like most directly

1449
01:19:05,960 --> 01:19:09,960
relates to this three legged 
stool if you will the the 

1450
01:19:09,960 --> 01:19:13,240
Lollapalooza of genomics, CRISPR
and big data AI. 

1451
01:19:13,600 --> 01:19:19,120
It's a way to program ourselves 
or to express a elicit a protein

1452
01:19:19,120 --> 01:19:22,560
expression and it could I I 
think it will over the next 

1453
01:19:22,560 --> 01:19:25,960
decade be something that's like 
truly profound for all of us. 

1454
01:19:25,960 --> 01:19:29,800
I think one of the areas you see
it being research right now is 

1455
01:19:29,800 --> 01:19:34,040
developing vaccines for cancers.
And a vaccine for cancer doesn't

1456
01:19:34,040 --> 01:19:36,760
mean that you inject someone and
they can't get cancer 

1457
01:19:36,760 --> 01:19:39,560
thereafter. 
It's someone who has cancer. 

1458
01:19:39,560 --> 01:19:43,720
You're able to take the cells 
and create a way for your body 

1459
01:19:43,720 --> 01:19:48,600
to defend and defend against it,
stop its growth and and kill it.

1460
01:19:49,160 --> 01:19:53,360
And I think that's something 
that I mean say what you will 

1461
01:19:53,360 --> 01:19:57,400
about the COVID vaccine again, I
think we we all could agree that

1462
01:19:57,440 --> 01:20:01,720
something like that for cancer 
would would would be really 

1463
01:20:01,720 --> 01:20:03,440
welcomed and a total game 
changer. 

1464
01:20:03,880 --> 01:20:08,760
Yeah, One, one of the the 
criticisms that I've heard is 

1465
01:20:08,760 --> 01:20:13,440
most of the big diseases are 
already sort of solved. 

1466
01:20:13,920 --> 01:20:18,000
I don't know how real or not 
that is the other, the other 

1467
01:20:18,160 --> 01:20:21,680
kind of thing that I've 
ruminated on a little bit is 

1468
01:20:22,080 --> 01:20:24,920
drug dealers tend to make their 
money on the comeback, not on 

1469
01:20:24,920 --> 01:20:28,160
the sale. 
And I wonder to the extent that 

1470
01:20:28,160 --> 01:20:32,440
you're curing people, the cash 
flow dynamics of everything, you

1471
01:20:32,440 --> 01:20:34,360
know, that's like a big outlay 
up front. 

1472
01:20:34,800 --> 01:20:40,120
Does that create a problem with 
how our system is sort of built 

1473
01:20:40,640 --> 01:20:43,960
and are there some adverse 
incentives along that? 

1474
01:20:43,960 --> 01:20:46,400
But anything that I'm saying 
make any sense or no? 

1475
01:20:46,840 --> 01:20:49,680
Yeah, I've heard that like the 
big diseases, the big stuff is 

1476
01:20:49,680 --> 01:20:53,920
all solved for for so long. 
And I'd say, you know, go back 

1477
01:20:53,920 --> 01:20:57,240
two years ago, think about where
things were with obesity and 

1478
01:20:57,240 --> 01:21:02,120
where we are today with Lily 
Novartis and and GLP ones. 

1479
01:21:02,720 --> 01:21:06,040
I mean, shit, does that look 
solved right now? 

1480
01:21:06,040 --> 01:21:09,640
It does, But but people were 
saying that like all the big 

1481
01:21:09,640 --> 01:21:12,200
things were solved several years
ago. 

1482
01:21:12,440 --> 01:21:15,840
And I I you know to the extent 
that gene editing or or 

1483
01:21:15,840 --> 01:21:19,760
something like that can can 
attack obesity. 

1484
01:21:20,200 --> 01:21:23,200
I think that there are some 
legitimate, I mean obviously if 

1485
01:21:23,200 --> 01:21:27,400
I if you're diabetic or or truly
obese, I think that the GLP ones

1486
01:21:27,400 --> 01:21:28,800
have a lot of make a lot of 
sense. 

1487
01:21:28,800 --> 01:21:34,760
However, the does seem to be, 
you know, the loss of muscle 

1488
01:21:34,760 --> 01:21:38,000
mass or some other side effects 
that maybe there's a better way 

1489
01:21:38,000 --> 01:21:41,080
to go about this. 
Yeah, I mean, Regeneron, which 

1490
01:21:41,080 --> 01:21:44,040
I've been involved in for a 
while, they think they found a 

1491
01:21:44,040 --> 01:21:48,160
better target that leads to no 
sarcopenia like GLP wants to, 

1492
01:21:48,160 --> 01:21:51,000
which is what you're talking 
about with the muscle loss where

1493
01:21:51,160 --> 01:21:54,680
to your point, like because of 
the muscle loss you basically 

1494
01:21:54,680 --> 01:21:56,120
have to stay on those things 
forever. 

1495
01:21:56,120 --> 01:22:00,600
So the drug dealer thing is, is 
very much in effect Regeneron is

1496
01:22:00,600 --> 01:22:04,520
working on this GPR 75 target 
that they think is going to be 

1497
01:22:04,520 --> 01:22:07,480
even better. 
So I kind of think the market's 

1498
01:22:07,480 --> 01:22:10,560
proven and now there's more 
opportunity for people to attack

1499
01:22:10,560 --> 01:22:13,000
obesity. 
I remember when obesity was kind

1500
01:22:13,000 --> 01:22:15,680
of a wastewater in biotech like 
any company that did, it was 

1501
01:22:15,880 --> 01:22:17,560
thought of as a somewhat slimy 
company. 

1502
01:22:18,040 --> 01:22:20,200
And now it's basically the 
biggest product the industry's 

1503
01:22:20,200 --> 01:22:24,960
ever created. 
So you know I think these things

1504
01:22:24,960 --> 01:22:27,880
come and go in waves, but there 
are all different kinds of 

1505
01:22:27,920 --> 01:22:31,280
problems that humans deal with 
that require different kinds of 

1506
01:22:31,280 --> 01:22:33,280
treatments. 
And I do think there's a degree 

1507
01:22:33,280 --> 01:22:36,920
to which like the industry over 
focused on what they call like 

1508
01:22:37,120 --> 01:22:39,320
orphan indications. 
So they're super rare 

1509
01:22:39,320 --> 01:22:42,360
indications and you could get 
special designation with the FDA

1510
01:22:42,840 --> 01:22:46,520
which effectively accelerates 
your, your path to market which 

1511
01:22:46,520 --> 01:22:48,400
means better ROI on drug 
development. 

1512
01:22:48,400 --> 01:22:51,440
So too much of the industry had 
been focused on orphan drugs for

1513
01:22:51,440 --> 01:22:54,480
a while. 
But with genomics, with this 

1514
01:22:54,480 --> 01:22:58,640
cure curative kind of treatment 
for some of these areas, you 

1515
01:22:58,640 --> 01:23:01,320
could attack one target after 
another is really what it boils 

1516
01:23:01,320 --> 01:23:06,040
down to. 
And yeah, it's a good thing, but

1517
01:23:06,040 --> 01:23:07,600
it's a tough thing. 
You look at a company like 

1518
01:23:07,600 --> 01:23:11,920
Gilead, which effectively cured 
hepatitis C and they've been 

1519
01:23:11,920 --> 01:23:16,320
stuck in the muck ever since. 
So, you know, I do think there, 

1520
01:23:16,400 --> 01:23:19,960
there are some questions about 
certain business models, but the

1521
01:23:19,960 --> 01:23:23,000
companies who sell the pieces 
for it, there will be one target

1522
01:23:23,000 --> 01:23:25,240
after another that they're going
to keep selling those pieces 

1523
01:23:25,240 --> 01:23:26,840
for. 
And by the way, it doesn't 

1524
01:23:26,840 --> 01:23:29,880
change the germline. 
So just because someone with 

1525
01:23:29,880 --> 01:23:32,320
sickle cell disease is cured of 
it, well, they could have kids 

1526
01:23:32,320 --> 01:23:34,320
with it. 
So there's another generation 

1527
01:23:34,320 --> 01:23:37,520
that will that makes sense. 
So it's not gone forever. 

1528
01:23:37,720 --> 01:23:41,040
And there are definitely 
important moral questions to ask

1529
01:23:41,040 --> 01:23:45,120
about if and how we should be 
editing things in the germline. 

1530
01:23:46,200 --> 01:23:49,880
You know, there's a future where
we make sure a baby's not born 

1531
01:23:49,880 --> 01:23:52,240
with it. 
Actually in some ways you could 

1532
01:23:52,240 --> 01:23:54,560
do that in the present, like 
people could artificially 

1533
01:23:54,560 --> 01:23:58,480
inseminate to avoid BRCA gene 
for example. 

1534
01:23:59,000 --> 01:24:01,360
So we we are and can do some of 
those things. 

1535
01:24:01,360 --> 01:24:05,680
So yeah, it's a really good 
question, but I but I think that

1536
01:24:05,680 --> 01:24:08,680
there will always be another 
problem to tackle this is life 

1537
01:24:08,680 --> 01:24:11,680
that we're talking about. 
It's very different and far more

1538
01:24:11,680 --> 01:24:14,320
dynamic than everyday kind of 
problems. 

1539
01:24:15,040 --> 01:24:18,680
Yeah, well, I was. 
I was looking at Gilead stuck in

1540
01:24:18,680 --> 01:24:21,240
the mud, which is not an untrue 
statement. 

1541
01:24:21,240 --> 01:24:25,520
However, stuck in the mud at 7.4
billion of free cash flow is not

1542
01:24:25,520 --> 01:24:27,320
the worst way to be stuck in the
mud. 

1543
01:24:28,120 --> 01:24:29,880
Yep. 
Yep, exactly right. 

1544
01:24:30,320 --> 01:24:31,560
Like exactly. 
Right. 

1545
01:24:31,560 --> 01:24:34,600
I wouldn't mind be showering and
stick me in that mud. 

1546
01:24:35,440 --> 01:24:37,960
Well, hey, you want you want to 
make sure you're not paying. 

1547
01:24:37,960 --> 01:24:40,920
You want to make sure you're not
paying peak peak multiple on 

1548
01:24:40,920 --> 01:24:44,280
peak profits. 
But not the end of the world to 

1549
01:24:44,280 --> 01:24:47,360
be extracting that kind of cash 
from society and delivering a 

1550
01:24:47,360 --> 01:24:50,960
good outcome in the meantime. 
Yeah, yeah, absolutely. 

1551
01:24:50,960 --> 01:24:53,720
It's interesting though, I mean 
like one one of the fundamental 

1552
01:24:53,720 --> 01:24:56,280
realities with these companies 
Speaking of your, your, your 

1553
01:24:56,280 --> 01:24:59,320
point about the, the, the drug 
dealer point is even if they do 

1554
01:24:59,320 --> 01:25:02,120
have a recurring revenue 
product, you can't just slap a 

1555
01:25:02,120 --> 01:25:06,120
terminal multiple on everything 
on anything in biotech for that 

1556
01:25:06,120 --> 01:25:07,880
matter. 
You can in the tools and 

1557
01:25:07,880 --> 01:25:09,600
instruments companies. 
I think it's very different 

1558
01:25:09,600 --> 01:25:11,760
there, which is part of why I 
like it so much. 

1559
01:25:11,760 --> 01:25:14,600
In biotech, you have to treat 
everything as finite duration 

1560
01:25:14,600 --> 01:25:17,680
because once your patent 
expires, there could be a 

1561
01:25:17,680 --> 01:25:20,280
generic and your pricing 
paradigm is going to change 

1562
01:25:20,280 --> 01:25:24,000
entirely and your ability to 
capture the market is going to 

1563
01:25:24,000 --> 01:25:25,720
change. 
So you're going to get lower 

1564
01:25:25,720 --> 01:25:28,320
pricing on a smaller portion of 
the market. 

1565
01:25:28,600 --> 01:25:32,200
So patent Cliff is very real and
and it changes the dynamics for 

1566
01:25:32,200 --> 01:25:35,920
some of these businesses. 
So 7 1/2 billion in cash flow, 

1567
01:25:35,920 --> 01:25:39,880
yes, but like their pipeline, 
you know, you you'd have to ask 

1568
01:25:39,880 --> 01:25:42,480
yourself does it look like it's 
the kind of thing that could 

1569
01:25:42,480 --> 01:25:47,000
maintain that that cash flow? 
Whereas the life sciences, what 

1570
01:25:47,000 --> 01:25:52,920
you're really hoping for is 1 
indication was approved using 

1571
01:25:52,920 --> 01:25:55,480
these tools. 
Therefore, it should be probably

1572
01:25:55,480 --> 01:25:59,200
easier to get through the FDA 
with another as long as I'm 

1573
01:25:59,200 --> 01:26:01,640
using these tools. 
And what what you're hoping for 

1574
01:26:01,640 --> 01:26:05,280
is over time, there are more 
people trying to solve problems 

1575
01:26:05,280 --> 01:26:09,080
that use the same tools that the
previous exactly. 

1576
01:26:09,840 --> 01:26:13,920
And then also when you go to 
generics, right, they still have

1577
01:26:13,920 --> 01:26:18,360
to pay the tools makers for the 
pieces to make the generic and 

1578
01:26:18,360 --> 01:26:20,320
they're not going to give them a
discount just because it's 

1579
01:26:20,320 --> 01:26:22,320
generic. 
You know, it's the generic 

1580
01:26:22,320 --> 01:26:26,840
company's job in order to find a
way to do it profitably. 

1581
01:26:26,840 --> 01:26:31,960
So they might pursue things in 
slightly different manners along

1582
01:26:31,960 --> 01:26:33,880
the way. 
And I'm speaking very broadly 

1583
01:26:33,880 --> 01:26:37,480
because there are differences in
the small molecule versus 

1584
01:26:37,480 --> 01:26:41,080
antibody world and I'm trying to
speak paint, paint it all with 

1585
01:26:41,080 --> 01:26:45,040
one brush, but the tools maker 
still get to make their money 

1586
01:26:45,400 --> 01:26:47,880
even in the generic world even 
in the aftermarket. 

1587
01:26:48,320 --> 01:26:53,000
Well in in in the generic world,
in life, in the with the tool 

1588
01:26:53,000 --> 01:26:58,440
makers, does the generic company
when they like you have to be 

1589
01:26:58,440 --> 01:27:02,360
approved to to sell the generic.
Yep. 

1590
01:27:02,400 --> 01:27:07,360
So would it not make more sense 
to use the same tools that have 

1591
01:27:07,360 --> 01:27:11,360
been proven with the branded 
treatment. 

1592
01:27:11,360 --> 01:27:16,280
So even if it does go to a 
generic treatment the tool 

1593
01:27:16,680 --> 01:27:20,920
unless you want to run your own 
like full blown, I mean do they 

1594
01:27:20,920 --> 01:27:23,080
have to run phase one, phase 
two, phase three. 

1595
01:27:23,080 --> 01:27:26,920
I I apologize for such a dumb 
question, but it it seems to me 

1596
01:27:26,920 --> 01:27:30,560
like it would be much smoother 
to use the same exact process 

1597
01:27:30,560 --> 01:27:36,840
than to try to introduce 
different variables that could 

1598
01:27:36,840 --> 01:27:40,280
throw something off. 
So it's even more true in 

1599
01:27:40,320 --> 01:27:44,360
biologics, in antibodies where 
it's called a biosimilar that 

1600
01:27:44,360 --> 01:27:47,400
you'd bring to market than than 
in small molecule where you can 

1601
01:27:47,920 --> 01:27:53,000
do where it's more chemistry, 
right, than creating like a cell

1602
01:27:53,040 --> 01:27:55,480
and a life based process 'cause 
that's what antibody 

1603
01:27:55,480 --> 01:27:58,120
manufacturing is like. 
You take a number of cells, you 

1604
01:27:58,120 --> 01:28:02,840
scale up the number massively 
and then you filter out for the 

1605
01:28:02,840 --> 01:28:06,200
protein that you want, right? 
That's a really complex process.

1606
01:28:06,640 --> 01:28:11,080
And to get a biosimilar right, 
to have the same kind of safety 

1607
01:28:11,080 --> 01:28:14,160
profile and efficacy, you 
basically have to follow the 

1608
01:28:14,160 --> 01:28:16,400
same set of procedures. 
And following the same set of 

1609
01:28:16,400 --> 01:28:19,680
procedures, you know, they're 
only so many sellers into the 

1610
01:28:19,680 --> 01:28:22,440
space in the 1st place. 
But to get it right and to make 

1611
01:28:22,440 --> 01:28:24,840
sure you have the same recipe 
like, you basically have to use 

1612
01:28:24,840 --> 01:28:29,000
the same vendors. 
And in some cases, I don't know 

1613
01:28:29,000 --> 01:28:32,200
enough about the exact 
regulatory edifice, but in some 

1614
01:28:32,200 --> 01:28:35,880
cases you're basically required 
to use the same vendors for 

1615
01:28:35,880 --> 01:28:38,960
particular pieces of it. 
Not necessarily all of it, but 

1616
01:28:38,960 --> 01:28:43,360
for for particular pieces of it.
Well, I I think even if you're 

1617
01:28:43,360 --> 01:28:46,720
not required, it seems to me if 
if you have to have a very close

1618
01:28:46,720 --> 01:28:55,800
biosimilar and you have a a test
and the test fails, the more 

1619
01:28:55,800 --> 01:29:00,360
variables that you introduce the
harder it is to to hone in on 

1620
01:29:00,360 --> 01:29:02,640
what is actually gone wrong. 
Yep. 

1621
01:29:03,240 --> 01:29:07,440
Absolutely. 
I if I were running that test, I

1622
01:29:07,440 --> 01:29:13,720
would say let's let's try to 
control what we can control and 

1623
01:29:13,800 --> 01:29:18,480
and the way to narrow down what 
is an outside influence versus 

1624
01:29:18,480 --> 01:29:22,840
what we can control is to use 
most of the same things to the 

1625
01:29:22,840 --> 01:29:25,680
extent that it makes sense. 
Absolutely. 

1626
01:29:25,680 --> 01:29:28,360
And there really aren't that 
many vendors that you could 

1627
01:29:28,360 --> 01:29:32,000
choose from because this stuff 
is there's been a lot of 

1628
01:29:32,000 --> 01:29:36,240
consolidation in the 1st place. 
But it like like I was saying 

1629
01:29:36,240 --> 01:29:38,360
earlier, the barriers to entry 
are so damn high. 

1630
01:29:38,760 --> 01:29:44,920
So like your your reason to 
switch might be trying to find 

1631
01:29:44,920 --> 01:29:48,880
lower cost and the only way that
people have been able to find 

1632
01:29:48,880 --> 01:29:53,240
lower cost is to potentially 
pursue suppliers in China. 

1633
01:29:54,200 --> 01:29:57,960
And there you're going to have 
to face questions about the 

1634
01:29:57,960 --> 01:30:05,200
integrity of the supply and 
about, you know whether you 

1635
01:30:05,200 --> 01:30:10,680
could trust your supply chain 
will last as is for the duration

1636
01:30:10,680 --> 01:30:13,280
in which you expect to have this
product on market. 

1637
01:30:13,480 --> 01:30:16,320
This may be current narrative, 
but I think it's closer to 

1638
01:30:16,320 --> 01:30:17,920
reality. 
I'm not sure that I would want 

1639
01:30:17,920 --> 01:30:21,280
to be doing health tests with 
Chinese equipment, given the 

1640
01:30:21,280 --> 01:30:25,800
distrust between two potential 
superpowers, yeah. 

1641
01:30:25,800 --> 01:30:28,320
And if you're talking about 
injecting populations with with 

1642
01:30:28,360 --> 01:30:33,120
genomics, I'm not sure that that
just seems like a risk I'd 

1643
01:30:33,120 --> 01:30:35,640
avoid. 
Well, and let even leave that 

1644
01:30:35,640 --> 01:30:37,720
aside, right? 
Because I I agree with you 

1645
01:30:37,720 --> 01:30:39,560
personally, but like, leave that
aside. 

1646
01:30:39,840 --> 01:30:43,640
If you're someone who wants to 
like, build a resilient company 

1647
01:30:44,080 --> 01:30:50,640
and you want to manufacture 
therapeutic, right, you have no 

1648
01:30:50,640 --> 01:30:53,960
clue what's going to happen with
US relations with China. 

1649
01:30:54,280 --> 01:30:57,600
But you do know that in order to
change the supplier for one of 

1650
01:30:57,600 --> 01:31:00,560
your critical pieces, you 
actually have to restart your 

1651
01:31:00,680 --> 01:31:03,240
phases. 
You have to like, go back to the

1652
01:31:03,240 --> 01:31:05,560
beginning and it's insanely 
expensive. 

1653
01:31:05,920 --> 01:31:09,160
So why would you start with 
something that might have to be 

1654
01:31:09,160 --> 01:31:11,200
changed? 
Yeah. 

1655
01:31:11,200 --> 01:31:12,960
You're in the risk mitigation 
business, right? 

1656
01:31:13,000 --> 01:31:15,640
Like, why? 
Why introduce more risk I would 

1657
01:31:15,640 --> 01:31:17,840
think. 
Yeah, interesting. 

1658
01:31:18,920 --> 01:31:21,760
I saw something about like from 
an operator from Merck where 

1659
01:31:21,760 --> 01:31:25,600
like with one of the CDM OS 
where they were manufacturing 

1660
01:31:25,920 --> 01:31:31,120
Keytruda and they're like this 
bag the the bags are used for 

1661
01:31:31,120 --> 01:31:35,800
single use. 
Bioreactors had $20 million of 

1662
01:31:35,800 --> 01:31:38,000
Keytruda in it. 
Like that's how much you're 

1663
01:31:38,000 --> 01:31:40,720
producing in a batch and that's 
how valuable what's in there is.

1664
01:31:41,440 --> 01:31:44,040
And the bag is basically like 
one of the least expensive 

1665
01:31:44,040 --> 01:31:48,240
pieces of their cogs and that's 
one of the most accessible areas

1666
01:31:48,280 --> 01:31:51,880
to get from China. 
But like the they gave an 

1667
01:31:51,880 --> 01:31:55,120
example of like you see one 
black dot on the back and you 

1668
01:31:55,120 --> 01:31:57,400
have to throw out all $20 
million a product. 

1669
01:31:57,920 --> 01:32:00,080
Oh, wow. 
So like, do you want to take a 

1670
01:32:00,080 --> 01:32:02,600
chance where like, everything's 
not perfect or you want to work 

1671
01:32:02,600 --> 01:32:05,160
with companies where you know 
everything is perfect? 

1672
01:32:05,160 --> 01:32:08,280
And yeah, it's not an area where
you want to take chances. 

1673
01:32:08,280 --> 01:32:10,560
And a lot of people get 
introduced to certain suppliers 

1674
01:32:10,560 --> 01:32:14,400
while they're in academia and 
they just like stick with them 

1675
01:32:14,800 --> 01:32:17,680
for affinity reasons. 
So once you start with someone, 

1676
01:32:17,680 --> 01:32:20,440
you don't ever change. 
Like a lot of the names for 

1677
01:32:20,440 --> 01:32:24,920
specific things come from the 
companies that people use and 

1678
01:32:24,920 --> 01:32:27,640
and and it becomes like 
colloquial in the industry. 

1679
01:32:28,720 --> 01:32:30,240
So I found that to be really 
interesting. 

1680
01:32:30,240 --> 01:32:33,000
That's like a very different 
force than happens in a lot of 

1681
01:32:33,000 --> 01:32:35,720
other places. 
This is something I did not 

1682
01:32:35,720 --> 01:32:38,360
verify because I trusted the 
person that told me they were 

1683
01:32:38,360 --> 01:32:41,840
higher up at A at a job. 
But I I believe that was Henry 

1684
01:32:41,840 --> 01:32:48,200
Shines strategy to get dental 
tools in dental schools because 

1685
01:32:48,200 --> 01:32:51,640
once the dentist got used to the
tools like they didn't want to 

1686
01:32:51,640 --> 01:32:55,800
change what they learned on and 
now it's like a dominant dental 

1687
01:32:55,800 --> 01:32:58,520
company. 
As the kid of two dentists, 

1688
01:32:58,520 --> 01:33:00,480
Like, absolutely. 
Like, they didn't. 

1689
01:33:00,480 --> 01:33:03,880
They didn't change anything. 
Yeah, yeah, I wouldn't either. 

1690
01:33:04,480 --> 01:33:07,520
Well man, I I appreciate you 
coming on and this is a good 

1691
01:33:07,520 --> 01:33:10,080
follow up conversation to the 
Peter Mantis one that I did. 

1692
01:33:10,080 --> 01:33:15,040
I I need to I gotta I gotta I 
gotta sit down and and really 

1693
01:33:15,040 --> 01:33:17,680
learn this stuff. 
I have cursory knowledge on it. 

1694
01:33:17,680 --> 01:33:19,800
I gotta be honest man. 
I've I've felt like an 

1695
01:33:19,800 --> 01:33:23,760
existential meaning issue. 
It could be a midlife crisis I 

1696
01:33:23,760 --> 01:33:27,320
don't know if I would deem it 
that but I've enjoyed working. 

1697
01:33:27,320 --> 01:33:30,800
I've questioned a lot whether or
not it's worth my time to do 

1698
01:33:30,960 --> 01:33:36,040
especially on my own and not you
know in a business structure and

1699
01:33:36,040 --> 01:33:40,360
and I wouldn't say I've been 
demotivated but I I've had a hit

1700
01:33:40,360 --> 01:33:42,120
an interesting patch in life 
man. 

1701
01:33:42,200 --> 01:33:46,080
Something wrapping up my 
grandma's estate has created 

1702
01:33:46,080 --> 01:33:52,960
this finality to what was very 
long and big part of my life and

1703
01:33:52,960 --> 01:33:55,560
I'm I'm a little lost on where 
to go next. 

1704
01:33:55,560 --> 01:33:58,400
But, you know, talking to you 
about stuff like this gets me 

1705
01:33:58,400 --> 01:34:03,120
excited about researching and 
and like the idea of things that

1706
01:34:03,120 --> 01:34:08,680
make me excited for the future 
as opposed to, you know, I, I 

1707
01:34:08,680 --> 01:34:10,360
don't know. 
Some other things are just kind 

1708
01:34:10,360 --> 01:34:14,200
of hard to get up out of bed and
do not not, you know, I'm not 

1709
01:34:14,200 --> 01:34:17,840
saying, you know what I mean. 
Well, First off, be kind to 

1710
01:34:17,840 --> 01:34:20,720
yourself. 
Like, you know, take it easy on 

1711
01:34:20,720 --> 01:34:23,240
yourself. 
This is not an easy area. 

1712
01:34:23,840 --> 01:34:29,120
It's like got a unique 
vocabulary, its own lexicon to 

1713
01:34:29,360 --> 01:34:34,000
literally every everything. 
And it's an area in the markets 

1714
01:34:34,000 --> 01:34:36,360
that is dominated by 
specialists, which I think is 

1715
01:34:36,360 --> 01:34:38,440
part of the opportunity because 
all the specialists are so 

1716
01:34:38,440 --> 01:34:40,480
beaten down and money's been 
coming out of them for a couple 

1717
01:34:40,480 --> 01:34:43,320
years. 
And it's one where I think the 

1718
01:34:43,320 --> 01:34:47,040
opportunity is so open-ended 
over the long term that you 

1719
01:34:47,040 --> 01:34:50,760
don't have to rush your work, 
you don't have to get it right. 

1720
01:34:50,760 --> 01:34:53,720
I think there are going to be 
like numerous chances to get 

1721
01:34:53,720 --> 01:34:55,680
there. 
And in the grand scheme of 

1722
01:34:55,680 --> 01:34:58,720
things like, we're both pretty 
young doing this, even though we

1723
01:34:58,720 --> 01:35:00,240
turned 40 at about the same 
time. 

1724
01:35:02,000 --> 01:35:05,960
We're both young enough that, 
like, this is something that 

1725
01:35:06,240 --> 01:35:09,600
it's not going anywhere. 
I feel like it'll be as relevant

1726
01:35:09,600 --> 01:35:14,520
and important a theme when we're
twice as old as it is today. 

1727
01:35:14,520 --> 01:35:16,960
It might be even more personal 
when we're twice. 

1728
01:35:16,960 --> 01:35:17,960
As old? 
Yeah, that's right. 

1729
01:35:17,960 --> 01:35:21,560
I hope so. 
Yeah, well, hope not for as long

1730
01:35:21,560 --> 01:35:24,440
as possible. 
But yeah, it it's a reality, 

1731
01:35:24,440 --> 01:35:28,280
right? 
And I I also think like to the 

1732
01:35:28,320 --> 01:35:31,960
degree that it's it's hard and 
it's not as accessible as some 

1733
01:35:31,960 --> 01:35:35,120
other areas. 
I do feel like generalists, when

1734
01:35:35,120 --> 01:35:38,800
they really want to find a way 
to get into areas like semis, 

1735
01:35:38,800 --> 01:35:42,960
are really freaking complex. 
And I know people who are like 

1736
01:35:43,200 --> 01:35:45,400
balls to the wall logs some 
semis. 

1737
01:35:45,920 --> 01:35:50,520
And they're like, yeah, life 
sciences is too hard for me. 

1738
01:35:51,200 --> 01:35:54,960
Meanwhile, you know, I mean, 
semis were once one of the most 

1739
01:35:54,960 --> 01:35:57,960
cyclical industries. 
There is part of why Clayton 

1740
01:35:57,960 --> 01:36:01,600
Christensen used that sector to 
describe the innovator's dilemma

1741
01:36:01,960 --> 01:36:05,920
is that things move so damn fast
in that one area in particular. 

1742
01:36:05,920 --> 01:36:07,080
I think people forget about 
that. 

1743
01:36:07,080 --> 01:36:09,960
That was like the starting point
of innovator's dilemma. 

1744
01:36:09,960 --> 01:36:12,440
It's like, oh, let's look at 
semis because they move faster 

1745
01:36:12,440 --> 01:36:14,880
than even the fastest moving 
pieces in tech. 

1746
01:36:16,600 --> 01:36:19,720
Semi manufacturing is insanely 
complex. 

1747
01:36:20,080 --> 01:36:24,160
It's almost more complex than 
the manufacturing of biologics. 

1748
01:36:24,600 --> 01:36:26,640
The business models are really 
complex. 

1749
01:36:27,120 --> 01:36:31,160
The end markets are complex. 
Like you know this isn't to say 

1750
01:36:31,160 --> 01:36:34,240
don't invest in semis. 
It's to say that like if you put

1751
01:36:34,240 --> 01:36:37,760
your brain to it, you can figure
out why some of these tools and 

1752
01:36:37,760 --> 01:36:40,240
instruments companies are really
interesting. 

1753
01:36:40,240 --> 01:36:43,000
Their business models in a lot 
of ways are much simpler. 

1754
01:36:43,280 --> 01:36:46,080
Some of the terms and areas 
you're exposed to, sure, sure 

1755
01:36:46,080 --> 01:36:47,600
they're they're a little more 
challenging. 

1756
01:36:47,600 --> 01:36:51,440
But you know, I I don't. 
I don't think anyone needs to 

1757
01:36:51,440 --> 01:36:54,560
know circuitry to invest in 
semiconductors. 

1758
01:36:54,560 --> 01:36:57,800
Nor do you need to know. 
I don't know genomics to invest 

1759
01:36:57,800 --> 01:37:04,320
in in life sciences. 
Yeah, I I read the IT must have 

1760
01:37:04,320 --> 01:37:07,880
been Danaher GE, the European 
Commission case. 

1761
01:37:08,400 --> 01:37:11,440
And I was like, OK, this kind of
hits me over the head with the 

1762
01:37:11,440 --> 01:37:13,360
business quality side of this, 
right. 

1763
01:37:13,360 --> 01:37:18,000
So, so then it's like OK, well 
now now drill down and it's, 

1764
01:37:18,200 --> 01:37:19,720
it's a matter of focus and just 
doing it. 

1765
01:37:19,840 --> 01:37:22,160
So we'll see. 
It'll probably take a year or 

1766
01:37:22,160 --> 01:37:24,760
two or three. 
Yeah, some of those, like 

1767
01:37:24,800 --> 01:37:27,720
antitrust papers are some of the
best. 

1768
01:37:27,720 --> 01:37:32,680
The FTC paper on the Grail 
merger with Illumina is awesome.

1769
01:37:32,680 --> 01:37:36,920
They basically, line by line in 
very accessible layman's 

1770
01:37:36,920 --> 01:37:41,480
language, tell you in what ways 
Illumina's a monopoly and it's 

1771
01:37:41,480 --> 01:37:44,760
like oh wow, they just like put 
this all on paper for you. 

1772
01:37:44,760 --> 01:37:48,160
This is better than any piece of
sell side research I've seen on 

1773
01:37:48,160 --> 01:37:51,560
the company in explaining where 
they do and don't have lock in 

1774
01:37:51,560 --> 01:37:53,760
and like what they do and don't 
do as a business. 

1775
01:37:54,200 --> 01:37:57,160
Buffett often says I don't use 
private stuff. 

1776
01:37:57,160 --> 01:37:59,360
Now I think he's got enough 
private information from 

1777
01:37:59,360 --> 01:38:02,320
Berkshire. 
But I I think one of the things 

1778
01:38:02,320 --> 01:38:05,640
that people, at least I didn't 
hear, I'll just personalize. 

1779
01:38:05,640 --> 01:38:09,800
It is like the government 
resources, right, Like like the 

1780
01:38:09,800 --> 01:38:12,680
trans dime, when you read the 
trans dime in front of the 

1781
01:38:12,680 --> 01:38:17,040
Congress and basically how he's 
like, look, if you don't like 

1782
01:38:17,040 --> 01:38:19,800
what we do, go go do it right. 
Like you can go do it if you 

1783
01:38:19,800 --> 01:38:22,320
want to go do it. 
But he lays out like why it 

1784
01:38:22,320 --> 01:38:26,040
doesn't make any sense to do it.
And and they're tremendous 

1785
01:38:26,040 --> 01:38:28,960
resources if you just kind of 
look outside. 

1786
01:38:29,960 --> 01:38:31,960
Yeah, it's really amazing 
because, you know, they have to 

1787
01:38:31,960 --> 01:38:33,880
be candid and they're not being 
salesy. 

1788
01:38:35,080 --> 01:38:36,520
They have to. 
Yeah, I mean, you're in front of

1789
01:38:36,520 --> 01:38:38,560
Congress, right? 
Underoath. 

1790
01:38:39,200 --> 01:38:41,240
Yeah, yeah. 
So it's a different beast right 

1791
01:38:41,240 --> 01:38:44,800
off the bat. 
And also like, I don't know, say

1792
01:38:44,800 --> 01:38:47,280
what you will about these 
congressmen, but like, there's a

1793
01:38:47,280 --> 01:38:50,280
lot of work that goes on in the 
background to prepare for these 

1794
01:38:50,280 --> 01:38:52,880
things, and some more than 
others. 

1795
01:38:52,880 --> 01:38:55,840
But but a good chunk of them 
come very prepared with really 

1796
01:38:55,840 --> 01:38:59,480
good information, and they could
extract really good insights 

1797
01:38:59,480 --> 01:39:01,960
along the way. 
You gotta find the ones that are

1798
01:39:01,960 --> 01:39:04,280
not political theater. 
Right, Yeah. 

1799
01:39:04,600 --> 01:39:06,880
It's one thing if Facebook's in 
front of people when they're 

1800
01:39:06,880 --> 01:39:09,480
doing their little thing. 
It's it's another thing if 

1801
01:39:09,480 --> 01:39:11,200
you've got some niche little 
topic. 

1802
01:39:11,880 --> 01:39:16,640
And like, I I remember I was, I 
was researching 5G and Democrats

1803
01:39:16,640 --> 01:39:19,080
and Republicans completely 
agreed on a line of questioning.

1804
01:39:19,080 --> 01:39:20,560
And I was like, oh shit, this is
real. 

1805
01:39:21,840 --> 01:39:24,160
This has to be right, yeah. 
That's right. 

1806
01:39:24,760 --> 01:39:26,160
They don't agree on anything. 
This. 

1807
01:39:26,320 --> 01:39:28,120
This has got to be legit. 
Yep. 

1808
01:39:28,880 --> 01:39:30,760
Yep. 
No, it's so true. 

1809
01:39:31,200 --> 01:39:33,360
It's so true. 
It is a great continuous 

1810
01:39:33,360 --> 01:39:34,880
resource. 
Like there's there's always 

1811
01:39:34,880 --> 01:39:36,640
something you can get from the 
FTC. 

1812
01:39:36,640 --> 01:39:38,840
Stuff in particular is awesome. 
Like these people are really 

1813
01:39:38,840 --> 01:39:41,320
expert. 
Yes, I agree. 

1814
01:39:41,520 --> 01:39:43,200
I think. 
I think sometimes it's hard to 

1815
01:39:43,280 --> 01:39:46,480
not let politics kind of color, 
you know, But that's the job, 

1816
01:39:46,480 --> 01:39:48,760
right? 
The job of figuring out the 

1817
01:39:48,760 --> 01:39:51,320
truth is to not let your 
personal biases get in the way 

1818
01:39:51,320 --> 01:39:53,240
of what you're seeing. 
Right. 

1819
01:39:53,240 --> 01:39:56,680
So, you know, we listen to them 
at a conference, but they're 

1820
01:39:56,960 --> 01:39:59,520
like, it's not politics, it's 
marketing. 

1821
01:39:59,960 --> 01:40:02,040
And marketing isn't necessarily 
all that different than 

1822
01:40:02,040 --> 01:40:04,160
politics. 
Yeah, that's right. 

1823
01:40:05,320 --> 01:40:07,240
That is right. 
It actually is the same. 

1824
01:40:07,240 --> 01:40:09,680
Like political theater and 
marketing are exactly the same. 

1825
01:40:09,800 --> 01:40:12,160
That's what they're doing. 
They're marketing to their voter

1826
01:40:12,160 --> 01:40:14,320
base. 
Yeah, no doubt. 

1827
01:40:15,240 --> 01:40:18,400
Well, man, as always, I enjoy 
speaking with you. 

1828
01:40:18,400 --> 01:40:21,480
You've been one of one of my 
true joys of the investing 

1829
01:40:21,480 --> 01:40:22,680
journey has been getting to know
you. 

1830
01:40:22,680 --> 01:40:26,920
So it's nice to do this likewise
recorded and I look forward to 

1831
01:40:26,920 --> 01:40:30,640
the next time we see each other.
Same, same sooner rather than 

1832
01:40:30,640 --> 01:40:31,880
later. 
No doubt. 

1833
01:40:32,360 --> 01:40:33,360
All right, take care of 
yourself. 

1834
01:40:33,880 --> 01:40:34,440
You as well.
