Models
of complex behavior increasingly sit at the background of vital political
discussions like global warming and pandemics. It is time to make them a more
integral part of our political discussion. Until voters can understand and
participate developing models to predict the behavior of systems, we will have
unstable politics, particularly in a country like ours that puts so much stock
in the opinion of everyone. This country was defined by a way of thinking. It’s
time to expand that.
Our
founding fathers did not pioneer Enlightenment thinking but they were the first
to create a community organized around it. The Enlightenment shifted people
from a reliance on authority and tradition (church and king) to reason and debate
(science and democracy). Our founding fathers popularized education – most
notably, Thomas Jefferson founded the University of Virginia – with an emphasis
on rhetoric and analysis as essential to creating smart voters. They generally
believed that education was necessary to freedom and democracy. But as it turns
out, rhetoric is a poor way to understand or communicate complexity. We need to
update what constitutes a good education.
Today
we have expert systems thinkers but we haven’t popularized systems thinking,
made it a part of the way we organize and act or even a part of what we include
in education. Analysis focuses on parts at one point in time; systems thinking focuses
on interactions over time, like how viruses spread at different rates depending
on how we behave or how CO2 builds in the atmosphere depending on
our technology. Systems thinking is as important to an effective democracy in
this 21st century as Enlightenment philosophy was to an effective
democracy in the 19th and 20th centuries. We can’t
coherently debate systems as varied and crucial as our financial,
environmental, education, and healthcare systems with fluency in systems
thinking.
Hearing
Bill Gates talk about a pandemic in 2015 and how serious it will be, he
mentions what "our models told us." Listening to California governor
Gavin Newsom in press conferences, he, too, references "our models."
Models have the potential to explain futures we haven't yet experienced. Models
will never be perfect; they can, however, be sufficient to inform good policy. Once you understand compound interest, you may
not be able to predict how much wealth you’ll have in 30 years but you know
what to do: invest early and often to maximize that wealth. Once you understand
how rapidly the coronavirus can spread, it informs policies like
shelter-in-place. Even though models are sensitive to changes in assumptions
and inputs, they can still point us in the right direction. The better people
understand them, both their limits and the insights they provide, the more
credible and helpful these models.
I
work with really bright scientists and engineers to plan – or model – their
projects to develop new products like drugs, medical devices and computer
chips. Two benefits inevitably follow. One, each person gets insights into what
others are doing and how that impacts them. Good models are key to
coordination. Two, they learn more of what is possible as they play with the
model, play a game of “what if” to see how they might accelerate launch. “What
if we hired one more circuit engineer?” “What if we doubled the number of
clinical trial sites so that we could enroll patients more quickly?” The models
let them answer what-if questions and become tools for making really smart
people even smarter, in the same way that a spreadsheet can help a financial
planner to get and communicate insights. Models that a group jointly creates
and maintains could be used to inform an entire populace about their policy
options on issues like economic stimulus, global warming, or the spread of a
pandemic. Even very simple models can help to illustrate important dynamics
more clearly than rhetoric.
Democracy
depends on education. Change is accelerating. We’re increasingly dependent on
systems. Education needs to include system thinking. In a crisis like a
pandemic, we have to react to what the models predict about consequences
because if we wait to react to actual consequences or rely on our intuition (intuition
informed by completely different circumstances) our actions will be tragically
late. Models let us learn from the past and from possible futures. The AI that
recently beat the world champion Go player Ke Jie was able to make a move no
one had ever before seen, a move learned from millions of game simulations it
had simulated play even before playing its “first” game with Ke Jie. When a
community encounters something like the coronavirus, it would be nice to be at
least as prepared as one might be for a game of Go.
There
are a variety of ways to popularize systems thinking. One way might look like
video games. Imagine kids learning about global warming or economic development
by getting exposed to simple models that play out over time. They first learn
to turn the knob on this variable and then that variable. They see which
variables are akin to the butterfly's wings in Brazil that causes a snowstorm
in Minneapolis and which are akin to a hundred moths beating their wings uselessly
against a light bulb. Over time they begin to introduce their own data, their
own variables, or even change the structure of the model. The class as a whole
could build a model that represents their collective insights and predicts
outcomes few – if any – minds are sophisticated enough to foresee.
Good
education changes life outside the classroom. Eventually democracy might mean
that we have collective, online models that represent our best knowledge and
are as widely understood as an op-ed or debate. Policy could come out of
millions of simulations that are largely transparent and contributed to and understood
by millions of citizens. Perhaps working on models will become as much a part
of citizenship as working on campaigns or reading and arguing about op-eds. In
the same way that a car lets us travel further than we could on foot, good
models can let us create better policy than we can with debates.
Ron
Davison lives in San Diego County, wrote The Fourth Economy: Inventing Western Civilization and
works with teams in Fortune 500 firms and startups to accelerate product
launch. @iamrondavison
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