Hi, my name is Scotty Page. I'm a professor of complex systems, political
science and economics at the University of Michigan in Ann Arbor. And I'd like to
welcome you to this free online course called Model Thinking. In this opening
lecture, I just want to do four things. The first thing I want to do is I want to
sort of explain to you why you know, I personally think it's, it's so important
and fun to take a course in models. Second, what I'd like to do is, I want to
give you a sense of the outline of the course. Like, what we're gonna cover, a
little bit, and how it's gonna be structured. Third thing is, I'll talk a
little bit about an online course that you, I've never taught an online course
before, you probably haven't taken one. So, let's talk a little bit how it's, just
how it's structured, how it's set up, you know, what, what's out there on the web,
that sort of thing. And then the last thing I'll do is I'll talk about, sort of,
how I'm gonna structure particular units. Each unit will focus on a single model or
a class of models. I wanna give you some sense of exactly how we're gonna unpack
those things, analyze them and think about them, alright? Okay, so let's get started.
Why model?. First reason, I think, is this. In order to be an intelligent
citizen of the world, I think you have to understand models. Why do I say that?
Well, when you think about, like, a liberal arts education, I think some of us
classically think of, sort of, the great books, like, this long shelf of books that
everyone should know. And when the great books curriculum was formed, right, and
I'll talk about this some in the next lecture, you know, most of human knowledge
didn't have models in it. Models are a relatively new phenomena. Right? So, if
you take, you know, whether you go from anthropology to zoology, anywhere in
between. When you go to college, you'll sorta find, like, oh my gosh, I'm learning
models in this course. And we'll talk, in a minute, about some of the reasons why
we're using models, right? But models are everywhere. And so in order to just be
involved in a conversation, it's important these days that you can use and understand
models. Alright. Reason number two. The reason models are everywhere, the reason
they're everywhere from anthropology to zoology is, they're better, right? They
sort of make us clearer, better thinkers. Anytime anybody's ever run a horse race
between models making, you know, people using models to make decisions, and people
not using models to make decisions, the people with models do better. So models
just make you a better thinker. The reason why is that they sort of weed out the
logical inconsistencies. They're a crutch, right, they just, you know, we sort of are
crazy, you know, think silly things, can't think through all the logical
consequences. Models sort of tie us to the mast a little bit. And in doing so, right,
we think better. We get better at what we do. All right. Reason number three to use and
understand data. So. There's just so much data out there, right? When I first became
a social scientist, I mean, it was, it would be a real effort for somebody to go
grab a data set. Now there's just a ton of it. I like to think of it as a fire hose
of data, but my friends who are computer scientists, they call it a hairball of
data, right, cuz it's just sort of all mangled and messed up. So, models, they'll
just take that data, right, and sort of structure it into information, and then
turn that information into knowledge. And so, without models, all we've just got is
a whole bunch of numbers out there. With models, we actually get information and
knowledge and eventually maybe even some wisdom. At least we can hope, right? Okay.
Reason number four: last piece of main category reason. And by the way, the next
four lectures I'm gonna un-, I'm gonna sort of work through and unpack each of
these four reasons in more depth. But I just sorta want to lay them out there,
this first lecture. So, reason number four: to decide, strategize, and design.
So, when you've gotta make a decision, whether it's, you know, whether you're the
President of the United States or whether you're running your local PTO
organization, it's helpful to build or structure that information in a way to
make better decisions. So we'll learn about things like decision trees and game
theory models and stuff like that, to just help us make better decisions and to
strategize better. And also, at the very end of the class, we'll talk about design
issues, right? You can use models to design things like institutions and
policies and stuff like that. So, models just make it better at making choices,
better at taking actions. Okay, so those are the big four. Now let's talk a little
bit about, the outline of the course, what it's like. So, this isn't gonna be a
typical course, not just because it's online, but because the structure of the
course is very different. So most courses, like if you take a math course, it sort of
starts here and moves along, right, with each thing building on the thing before
it. Now the difficulty with a course like that is if you ever, like fall off the
train, right? Fall behind. That's it. You're just lost. Because you know,
everything, what I'm doing in lecture six you need to know lecture five. And for
lecture five you need to know lecture four. Well this course is going to be very
different. This course is going to be a little bit more like, a trip to the zoo.
[laugh] Right? So we're gonna learn about giraffes, and then we're gonna learn about
rhinos, and then we go over the lion cage. So if you didn't quite understand the
rhinos, it's not gonna hurt you too much when we go over the lion cage, right? So
it's more like just moving from one topic to the next. They're somewhat related in
that they're all sort of animals, but you don't need to fully know the giraffe to
move to the rhino, but obviously like we're not gonna take like giraffes and
rhinos, we're gonna study models and [inaudible]. So what kind of models. We're
gonna study models like collective action models. These are models where individuals
have to decide how much to contribute to something that's for the public good.
We'll study things like the wisdom of crowds. Like, how is it that groups of
people can be really smart? We'll study models that have, like, fancy names like
[inaudible] models and Markov models. These are models of sort of processes,
right? So they, they sound scary, but they're actually always sort of fun and
interesting. We'll study game theory models. We'll study something called the
Colonel Blotto game, which is a game where you have to decide how many resources to
allocate across different front. So this can be thought of as a really interesting
model of war. It can also be an interesting model of, you know, firm
competition or sports, or legal defenses, all sorts of stuff. So. We're going to
just you know, play with a whole bunch of moth. Everything from economic growth to
tipping points. You know, a whole bunch in between. So it should be lots and lots of
fun. Okay. What's the format for this? How's this going to work? What does an
online course even look like? Okay. Well. Let's think about it. So first thing,
there's these videos. You're watching one right now. I'm going to try to keep them
between eight and fifteen minutes in length. Right? Sometimes I may sneak to
sixteen but mostly I'll be creating fifteen minutes in length. And inside the
videos there'll be questions. So I may, all of a sudden the video may stop and
it'll say, what's the capital of Delaware? Well actually it won't say that, but
something germane, hopefully, you know, to the, to the lecture. So, there'll be these
fifteen eight to fifteen minute lectures. Each module, each section will have, you
know, somewhere between like three and six of those. Right? Okay. In addition,
there'll be readings. So on the wiki you'll find links to the reading. Not a
bunch of these readings will come out of some books that I'm, I've written, and
some, one that I'm about to write about actually this course, and it'll all be
free. So, you'll know that Princeton University Press has been very generous in
letting a lot of that content of my books be out there. So we're going to you'll be
free to download whatever you need to look at. All right? There's some assignments.
So there's an assignment on the web page. You'll see a little assignment thing, so
all sorts of assignments. So, just make sure you're following. What's going on
with the course, and then finally there will be some quizzes, right so there are
some quizzes out there just to make sure you know hey am I really getting this.
You'll, you'll watch me and you'll think, yea Scott gets these models but that's not
what this is about, right this is about you understanding the models. So there'll
be some quizzes, right but all in good fun. Okay, and finally, there's the
discussion form. I mean, there's 40 to 50,000 people in this class, right, so,
office hours can get sort of crowded. So, we're gonna have a discussion forum where
people are gonna ask questions. I'll answer some. I've got some graduate
students who'll answer some. Other students can answer things, but there'll
be a place for people to sorta share ideas, share thoughts, give feedback and
should be, hopefully, you know, really useful and structured in a way that will
work for everybody. Okay so how does it work, what's one of these sections gonna
look like, well each section which of course is gonna be 21. It's gonna be
focused on, you know, particular model. Right, and so, we talk about the model and
say, okay, what is the model? What are the assumptions? What are the parts? How does
it work? You know, what are the main results? What are the applications? So, we
just sort of you know talk through how the thing sort of plays out. Then it'll go
into some technical details. Sometimes in the same lecture, I present the model.
Sometimes in later lectures. This will be, you know, more technical stuff. A little
bit more mathematics. Now, I'll try and be very clear about whether or not the math
is, you know, easy, medium, or hard. You know, I'll let you know upfront. Like
okay, this may require a lot of Algebra or this is just, you know, sort of simple
logical thinking. Right, so. I'll be pretty clear about how much effort it's
gonna take to get through, trudge through some of the examples. And there will be
practice problems you can work on as well. And the other thing I'm gonna do in every
one of these sections is talk about the fertility of the models. Tonight's memory
[inaudible] is this kernel blotter model that was, could be used to model war or
sports or legal defenses, right. Most of these models were developed for one
purpose but we can apply them to other purposes. So we're going to talk a lot
about how, okay, now that we just learned this model, where can we apply it. Where
does it, you know, where else does it work? Right? Okay, so that's it. That's
sort of how it's gonna work, right? Learning models is really important. It
makes you a more intelligent citizen, probably just, you know, sort of, just a
more engaged person out there in the world. ?Cause so much of how people think
and what people do is now based on models. Makes you a clearer thinker. That's why so
many people are using models. It helps you use and understand data, and it's gonna
help you make better decisions, strategize better, and even, you know, design things
better. So the course should be really, really useful. We're gonna cover a lot of
topics. The don't necessarily build on the one before, right? There'll be some
quizzes and videos and that sort of stuff. And this should be just a great time.
Alright. Welcome, and let's get started. Thank you.