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This file was generated by Descript 

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Welcome to Resilience Talk hosted by
Paul Spencer of Second Nature Solutions.

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Let's dive in.

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I got a lot of comments recently around
the topic of Deming and his concept

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of, um, reducing to one supplier and
building a deep relationship and have

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that long-term trust and loyalty.

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And that kinda sparked
something in a few of you.

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So it's a lot of fun.

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Uh, you know.

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I've also learned that, uh, when,
when there, uh, it's not necessarily

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a controversy, but when you guys wanna
kind of banter on some of the topics,

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you do it to me personally, right?

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So it's not on social media, it's not on
LinkedIn, it's not on any of the posts.

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Um, you send me a note,
which is I love that.

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I think it's perfect.

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And I, and I reflect on that a
little bit and I always wonder

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about the, the folks who.

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That we know, right?

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Let's, let's use Trump and Elon.

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Uh, when they, they had a falling out
over Twitter or X, sorry, I should say X.

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Um, and it's very interesting to me to
to think about would I ever have those

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types of words or that type of say,
argument or discussion with somebody.

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On a public forum so everybody can
watch and then have it, have it

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just go down into name calling.

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And this is very interesting.

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So anyway, I'm not saying that you
guys, or I am, we're devolving into

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our conversations in the name calling.

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Um, but it is fun to hear from you.

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So keep sending me notes, keep,
uh, giving me, um, some insights

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into how you're thinking.

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Um.

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I think all of your points are valid.

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So, uh, a lot of you are, well, some
of you are confirming, uh, some of

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you are, have a little bit of yeah.

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Buts.

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And then there was one or two of you that
were very adamant that tend to disagree

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with the concept of a single supplier.

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And, and you had lots of examples.

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Um, and we've had, we have
recent examples, right, with uh.

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With the COVID, um, supply chain
issues, uh, the recent, uh, turmoil

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that we have now, um, is an output,
an outcome of a lot of that happened

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in 2020 with, uh, the supply chain
issues that we had, mostly with China.

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Um, and what does that mean to Reshore?

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How do we reshore?

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How do we get more supply chain locally?

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How do we get more fault tolerance?

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So I agree with all of that, and I
think it's a fun point discussion to

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say that everything that we talk about,
there is a dichotomy to everything.

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So our world is full of a dichotomy.

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We could say at one hand,
our principle is this.

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But on the other hand,
it's also this, right?

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The yin and the yang.

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And those two things could
be true at the same time.

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And uh, and going back to what we were
talking about the last couple times

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is just provocative thoughts, thinking
contr, uh, contrarian thoughts, right?

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All of those things are part of us.

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Um.

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Not just being robots in what
we're taught, not taking our MBA,

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not taking, uh, the status quo,
the established ways of doing

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things and just doing it that way.

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Right?

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This, what I'm after is for us to think a
little differently for, we may come to a

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similar or the same conclusion as what we
would say the established traditional way.

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Um, but the way we get there is different.

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Our thinking is different.

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That's, that's the whole point.

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Um, so, uh, is Deming correct in
saying that, uh, we should end

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the practice of wording business
on the basis of the price tag?

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Well, you tell me.

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You tell me.

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You are in business, you have customers.

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And if your customers say,
Hmm, too expensive for me.

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Could you cut that by 20%?

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Could you cut it by 30%?

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What are you going to say?

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What are you going to say?

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I think you'll say, geez, let's not
just look at it at the price point.

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Let's look at these other
factors that we provide.

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Let's look at the value we bring.

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Right?

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So Deming is correct in that.

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And then the follow on
to that is instead of.

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On basis of price tag.

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On price, let's maximize total
cost, which is moving toward a

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single supplier for any one item.

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Right?

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Build that relationship.

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Build long term loyalty and trust.

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So does that mean that
we could have some risk?

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Yeah, we talked about that last time.

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We could, we could incur,
incur some risk by doing that.

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Um.

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When we talk about the unknown
unknowns and the unknowables and

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the data with all of that, um, that
still applies to all of this, right?

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So anyway, I think
that's very interesting.

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The dichotomy's good.

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Um, somebody mentioned to me the,
uh, the, um, uh, a set of books.

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Now, Brandon, who normally
does the, the tag team with me,

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you guys all know who he is.

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He suggested to me and
I, I have these books.

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It's basically the, um, uh, the
great mental models by Shane Parrish.

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And, um, so there's four books in there.

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And so somebody even mentioned
that, um, Shane Parrish mentions,

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um, what did he call it?

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They call it interdependence
in one of the books.

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Um, and so I thought I went through it.

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And you know what?

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I've had these books forever
and I've never read 'em.

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I'm a little bit like my dad.

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I just buy a bunch of things
and then I keep 'em in a box

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and then I never read 'em.

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No, that's a shout out to dad.

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So anyway, this one's called, this
one's, uh, the fourth Volume, and

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it's around the economics section.

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And so there's a part in here about
interdependence, which somebody

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mentioned that said, Hey, some
of the things that you're talking

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about are some of the things that
Shane Perish was talking about.

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So open it up and was taking a look at it.

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Um, very interesting because, um,
it's probably that chapter, it's very

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concise writing, very, very cool.

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If you haven't picked it up, um, it's a
good, it's a good little, um, set of books

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instead of principles that are fun to
read, especially for, um, maybe for some

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of us might be, these might be like, duh.

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We've read these and we know these, but
there's some cool things in here around,

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um, um, physics and chemistry, biology.

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Um, it is just, it's just fun.

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Anyway, uh, the interdependence
is probably five, six pages.

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It's not very long, but when
you read through it, when I read

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through it, um, it states everything
that Deming's talking about.

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So, um, not gonna name names, but the
person that sent me that I think was.

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Using it as a counter to Deming and I'll,
I'll need to follow up with you and,

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and make sure that I'm right in that.

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Um, but, and there are, there is, he does
state the dichotomy in there for sure.

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Um, but by the time you get
to the end, it's the same.

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He's saying the same thing as Deming.

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Um, so I want to talk
through that a little bit.

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Um, and then there's an also
cool, there's another cool thing

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in here called I Pencil, which is
an essay that was written in 58.

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Uh.

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Which I'd never heard of before,
and it's a, it's really cool.

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So anyway, I wanted to read some of
the things that are in here, um, and.

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Really what, what he's getting at.

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And he's just summarizing
known principles.

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He's not reinventing anything.

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It's not an invention of things.

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It's a great, it's got great,
uh, references, bibliography.

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Um, so anyway, he's, this
is just the introduction.

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It says specialization leads
to interdependence, which is

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exactly what we just talked about.

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Um, a supplier for each
item for one item, right?

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That's specialization.

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And if we get a deep.

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Um, specialization.

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Um, then in order to, um, survive, you
have to have multiple businesses, multiple

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specializations within your ecosystem,
right, because you can't do it all.

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Um, and, uh, so I'm gonna read this,
the more specialized an individual

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company, company, nation, or
other, or any other group, is the

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more reliant it must be on other
specialists in order to meet its needs.

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Right?

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We can't do everything on our own.

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Yeah, exactly.

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And I think that it speaks
exactly into Deming's.

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Uh, SOPK, which is the awareness
of the system, is that we're all

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intertwined, interconnected, which
is what this whole chapter is

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called, it's called interdependence.

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So because we're specialized,
we are therefore interdependent.

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And so, um, again, just
kinda repeat myself.

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When we have, when we have an awareness
of the system and we understand

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the interdependence between us and
our competitors and our suppliers

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and the world economy, the world
supply chain, the government, right?

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All those things that are around
us, um, we have better insight

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into how to make decisions and why.

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Things are happening and how to
make different processes to be

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able to handle those different,
what we would call imposed inputs.

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Those are things we can't control, right?

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The imposed inputs, they're,
they're forced on us.

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Um, and we have to deal with
them, but we build our processes

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around those constraints.

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Like just like when we talk about
with the theory of constraints,

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which is also awesome theory.

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So, um, then he mentions the eye pencil,
which I had never heard of, um, essay.

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Um, and then.

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Uh, I'm gonna read this too.

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So, even such a simple device
involves numerous specialists.

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So, um, there's loggers to harvest the
wood workers in a sawmill to cut it.

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Designers of machines used to
work on the wood, so on and

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so on, and so on and so on.

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Um, and it's a very, uh, very fun topic.

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I think it's a fun topic.

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Uh, so I pulled up, um.

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The essay and you can just search for it.

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It's called I comma pencil,
meaning my name is pencil.

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And it just, it's, it reads as,
he writes it as my family tree.

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Right.

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Uh, kind of a play on words and
everything, but, and it's his genealogy

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of how he exists and everything.

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And I highlighted this as, um, 'cause
we've talked about this before, is

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I have a profound lesson to teach
because I am seemingly so simple.

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And then it says, simple, simple.

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Yet not a single person on the face
of this earth knows how to make me.

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This sounds fantastic, doesn't it?

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Especially when it is realized that there
are about one and one and a half billion

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of my kind produced in the US every year.

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And this was written in in 1958, right?

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So, um, this is another
thing that we have.

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Uh, around simplicity and things that
we were just talking about before,

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which is the quality that we have when
something is, is, and I'll go into the

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software world when we build something,
um, from a software perspective.

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Of course there's the code, um,
there's the tech debt, there's the

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data, there's all the thing, there's
the architecture underneath all of

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those things, those are all hidden.

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You don't know what those are.

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You don't understand the quality
of that, but you understand

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the quality of the interaction.

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And so when you interact with a
piece of software, um, you have

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an understanding of its quality.

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Right.

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Um, and at this point in time in, in our
world of software development and product

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development is we don't tolerate errors.

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So maybe 20 years ago, or maybe even
15 years ago, if something failed,

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meaning you got an error or it didn't
quite load right, or, um, maybe

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it did something you didn't quite
expect, and you're a little confused.

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Uh, we tended to tolerate those
things a little, a little more.

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'cause that's just what, what the
environment was Today, we're in a

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much more mature and commoditized
software environment that if

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anything failed in that way, it,
it, nobody's going to tolerate that.

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And, uh, and you'll lose customers.

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Right.

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So that whole interaction design is
super important in today's world.

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If you're building software products,
um, because the customer has low

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tolerance, it's a, it's a commodity.

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They expect it to work.

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If you grabbed a pencil,
right, I still use pencils.

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Look at that.

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Um, if, if I grabbed this pencil
and it broke in my hand or wouldn't

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sharpen, or, uh, it wouldn't write, um.

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And, uh, and it was not
useful to me immediately.

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Like as soon as I went to ride,
use it, uh, I would throw it away.

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I have no tolerance for it, right?

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Because I expect this to work.

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It's a commodity.

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And 30 years ago, 50 years ago,
it was still a commodity, right?

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We expected it to work.

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Um, so anyway, with when we have the
interaction design, um, we're, we're.

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We have such a high threshold of
Toler, a low threshold of tolerance

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that, uh, quality is expected, right?

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So anyway, it's something interesting
to be thinking about and uh, when

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we talk about the simple solution.

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'cause in the eye pencil, right?

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He's talking about it's being simple.

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I am simple, but seemingly I'm not.

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That is when you have high quality.

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That's, that's kind of the litmus test.

00:15:15.691 --> 00:15:21.211
So going back to the software piece
is, uh, when we use Google, and

00:15:21.211 --> 00:15:24.961
you've heard me use this example many
times, but when you go into Google.

00:15:26.086 --> 00:15:28.276
Now we don't really go to Google anymore.

00:15:28.276 --> 00:15:31.756
We just type into the browser and
type what we're looking for, right?

00:15:32.536 --> 00:15:33.166
Our search.

00:15:33.406 --> 00:15:38.686
But at one point, Google had,
you went to the google.com,

00:15:38.776 --> 00:15:39.076
right?

00:15:39.136 --> 00:15:43.036
And there was one input box, and then
you would type in there, whatever you're

00:15:43.036 --> 00:15:44.416
looking for, and then you hit enter.

00:15:45.616 --> 00:15:47.206
That is simple, right?

00:15:47.296 --> 00:15:49.426
Seemingly simple what's underneath there.

00:15:50.026 --> 00:15:54.616
And uh, kind of from the pencil's
perspective, all the things it took.

00:15:55.021 --> 00:15:59.431
To be able for you to just type, uh,
what were the, what was the Bengal

00:15:59.431 --> 00:16:04.531
score from last weekend for it to go
find all that information, pull all

00:16:04.531 --> 00:16:08.521
that data, do all the algorithms,
put it all up, and then bring you,

00:16:09.031 --> 00:16:16.051
uh, five pages of HTML, um, documents
that you could go look it up, right?

00:16:16.051 --> 00:16:18.391
Websites that you could go
look at that information.

00:16:18.601 --> 00:16:21.571
Super, super complex, super complex.

00:16:22.036 --> 00:16:22.786
But it's simple.

00:16:23.446 --> 00:16:25.246
And that means high quality.

00:16:25.516 --> 00:16:26.506
That is high quality.

00:16:26.806 --> 00:16:27.651
So when we're building.

00:16:28.576 --> 00:16:34.576
Anything physical, manufacturing,
uh, hardware or, uh, fasteners,

00:16:34.606 --> 00:16:36.616
screws, anything like that.

00:16:36.916 --> 00:16:39.106
Quality is based on the simplicity.

00:16:39.226 --> 00:16:41.356
The customer just assumes it works.

00:16:41.806 --> 00:16:45.196
The customer just assumes that,
oh yeah, that's easy to make.

00:16:45.226 --> 00:16:47.356
Like how hard could it be
to make a screw, right?

00:16:47.356 --> 00:16:49.036
And all of those things.

00:16:49.036 --> 00:16:50.656
That's, that's what we're looking for.

00:16:51.016 --> 00:16:54.256
That is, uh, that's what the
whole pencil thing is all about.

00:16:54.646 --> 00:16:56.836
So anyway, I would
encourage you to go read it.

00:16:57.241 --> 00:16:58.171
Very interesting.

00:16:58.741 --> 00:17:04.411
Um, and really in the end, the whole,
the whole, um, premise, the whole,

00:17:05.011 --> 00:17:11.551
um, moral to the story is just about,
um, how free markets work, right?

00:17:11.611 --> 00:17:17.131
Open markets and the need to have
specialized interdependence in a

00:17:17.131 --> 00:17:23.161
market in order to build and innovate
and seemingly create simple things.

00:17:23.431 --> 00:17:24.481
So lots of fun.

00:17:24.901 --> 00:17:26.791
Um, there's a couple of
things else I wanted to.

00:17:27.511 --> 00:17:32.251
Talk about is there's a quote
inside, um, uh, Shane's book here.

00:17:32.731 --> 00:17:34.111
And so I wrote these down.

00:17:34.651 --> 00:17:38.131
Uh, when everything works,
interdependence works well.

00:17:39.151 --> 00:17:44.911
When things don't go as planned, however,
interdependence starts to shut everything

00:17:44.911 --> 00:17:47.311
down, which is, we saw that, right?

00:17:47.611 --> 00:17:51.571
Um, and he wrote these books in 24, so
he already had the experience of the

00:17:51.571 --> 00:17:54.571
2020 stuff, but it's very common, right?

00:17:54.601 --> 00:17:56.671
I mean, it, it makes logical sense.

00:17:57.706 --> 00:18:01.216
So, um, does that mean that
we can't be interdependent

00:18:01.216 --> 00:18:02.416
and we shouldn't specialize?

00:18:04.066 --> 00:18:05.116
Well, there's risk.

00:18:05.266 --> 00:18:06.286
There's risk with everything.

00:18:06.766 --> 00:18:08.176
Um, and that's the dichotomy.

00:18:08.206 --> 00:18:09.076
That's the dichotomy.

00:18:09.496 --> 00:18:13.426
Um, one other thing that, uh, that I
thought was interesting, and I'm gonna

00:18:13.426 --> 00:18:19.396
read this too 'cause this kind of
lays out the unknown unknowables that

00:18:19.396 --> 00:18:22.186
we had talked about, um, previously.

00:18:22.876 --> 00:18:23.506
Um.

00:18:26.131 --> 00:18:28.591
Actually, there's one other thing
too in here I'm gonna read too.

00:18:29.101 --> 00:18:33.181
Uh, so he's talking about how oil
prices went down in the thirties because

00:18:33.181 --> 00:18:37.861
there was a, there was a gluttony of
oil wells and uh, the oil was gushing.

00:18:37.981 --> 00:18:43.801
And then, so this kind of shows the
interdependency of all the things

00:18:43.801 --> 00:18:45.811
that we were just talking about and.

00:18:46.486 --> 00:18:49.276
When we read it out
loud, we, it's a big duh.

00:18:49.396 --> 00:18:49.756
Of course.

00:18:49.756 --> 00:18:50.296
Yeah, yeah.

00:18:50.296 --> 00:18:51.016
That happens.

00:18:51.436 --> 00:18:56.266
Um, but when we're in our businesses
and we're trying to consider what's

00:18:56.266 --> 00:19:02.236
going on and why are we getting weird
results and, uh, how do we, how do

00:19:02.236 --> 00:19:06.826
we move here or how do we innovate or
how do we get more efficient and those

00:19:06.826 --> 00:19:12.826
kinds of things, you really do have to
start to look out and look at the big

00:19:12.826 --> 00:19:14.686
picture and see how things are connected.

00:19:16.066 --> 00:19:21.016
And that will give you more
foresight, more insight, more

00:19:21.016 --> 00:19:23.056
foresight, more insight, right?

00:19:23.056 --> 00:19:25.966
You get to iterate on all of
that, and then you come to,

00:19:26.266 --> 00:19:27.886
hopefully to a better solution.

00:19:28.396 --> 00:19:32.176
Um, which again is just a theory,
and then you get to take those

00:19:32.176 --> 00:19:33.436
theories and see what you can do.

00:19:33.436 --> 00:19:36.796
So anyway, so first, oil
prices went down all over.

00:19:37.516 --> 00:19:41.536
And because none of us collected
and refine our own oil, there was

00:19:41.536 --> 00:19:43.666
widespread reaction to the windfall.

00:19:44.206 --> 00:19:49.336
That our dependency created homes
started to heat with oil instead of coal.

00:19:50.326 --> 00:19:50.746
Great.

00:19:51.046 --> 00:19:52.426
Because it's cheaper, right?

00:19:52.666 --> 00:19:57.076
But then employment and coal
mines fell and the price of steel.

00:19:57.421 --> 00:20:02.821
Went up as because, because coal
became more expensive, right?

00:20:02.851 --> 00:20:03.931
'cause coal was going down.

00:20:04.441 --> 00:20:09.751
We drove our cars more railway
usage declined highways grew.

00:20:10.051 --> 00:20:12.781
Towns caught in the wrong location.

00:20:13.306 --> 00:20:18.736
Or dependent on the wrong resources,
stagnated or died out while other

00:20:18.736 --> 00:20:25.606
towns boomed new oil product, new
oil produced effects that cascaded

00:20:25.606 --> 00:20:28.066
far outside the oil industry.

00:20:28.636 --> 00:20:32.686
This is exactly what Demming was
talking about when, um, when we were

00:20:32.686 --> 00:20:34.936
talking about the the seven deadly sins.

00:20:35.596 --> 00:20:41.836
And when manages management focuses
only on visible figures, he says

00:20:41.836 --> 00:20:42.856
it in a slightly different way.

00:20:42.856 --> 00:20:50.506
He says, uh, he says, management, uh,
by use only of visible figures alone.

00:20:50.506 --> 00:20:51.226
Something like that.

00:20:51.406 --> 00:20:53.806
He kind of turns all
the words around, right?

00:20:53.806 --> 00:20:57.856
And then he goes on to say, with
little or no consideration of the

00:20:57.856 --> 00:21:03.256
figures, meaning the numbers, the data
that is known, unknown or unknowable.

00:21:04.036 --> 00:21:07.756
Is exactly, this is a great
example of that, right?

00:21:08.176 --> 00:21:12.496
Is uh, we look at the oil, we
look at oil production, but the

00:21:12.496 --> 00:21:14.296
cascading effects around that.

00:21:14.296 --> 00:21:18.706
And we're not, we're not worried about
the economics of things in our business.

00:21:19.036 --> 00:21:23.416
Those things will go on our own, but
there are consequences of having more

00:21:23.416 --> 00:21:27.976
production in outside our own business
to do this and what effects that's

00:21:27.976 --> 00:21:31.726
going to have either for our own
suppliers or for our own businesses.

00:21:32.536 --> 00:21:32.986
Um.

00:21:35.281 --> 00:21:39.391
Uh, yeah, so anyway, that, that's,
that's what I wanted to talk about.

00:21:39.391 --> 00:21:46.831
There's one last part in here, um,
that is also very interesting here.

00:21:47.071 --> 00:21:53.731
Um, so interdependence isn't just a
macro concept, it's deeply personal.

00:21:54.001 --> 00:21:57.931
We're all independent with our
families, our friends, our communities.

00:21:58.291 --> 00:22:01.976
We rely on one another for
support, for love, for meaning.

00:22:02.656 --> 00:22:05.836
And interdependence is the
fabric of our social lives.

00:22:06.916 --> 00:22:11.536
Um, he also says, interdependence can
be both a vulnerability and a strength.

00:22:11.866 --> 00:22:16.216
So the dichotomy of the world for
us to be thinking and to be aware

00:22:16.216 --> 00:22:19.516
of these things, we understand
that there's lots of variables.

00:22:19.726 --> 00:22:21.526
How do we reduce our variables?

00:22:21.766 --> 00:22:22.996
How do we create theories?

00:22:22.996 --> 00:22:27.886
How do we go and learn and be
aware that there are unknowables.

00:22:28.771 --> 00:22:32.941
Unknown data, unknowables
things we'll never know, right?

00:22:32.971 --> 00:22:38.011
That are very hard to, to understand
the cascading effects, um, rather

00:22:38.011 --> 00:22:41.551
than just relying as Deming
says, on visible figures alone.