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Transforming Science Education in
An Age of Misinformation
Carl T. Bergstrom
University of Washington
NWCCU 2022
Seattle, WA
Nov 4th, 2022
Photo: Carl Bergstrom
It was only a matter of time.
In 2020, our luck ran out.
Photo: Carl Bergstrom
The COVID pandemic upended all of our lives.
Photo: Carl Bergstrom
Everyone had to become an epidemiologist.
Photo: Carl Bergstrom
People had to rely on social and traditional
media to understand what was happening.
Photo: Carl Bergstrom
And somehow a large fraction ended up not trusting science.
Photo: Carl Bergstrom
Scene from Contagion (2009)
Percentage
fully vaccinated
https://covid.cdc.gov/covid-data-tracker/
What happened?
Photo: Carl Bergstrom
Enormous scientific uncertainty around an entirely new virus
Photo: Carl Bergstrom
A public desperate for definitive answers
Photo: Carl Bergstrom
What is the infection fatality rate?
How fast does it spread?
Are some infections asymptomatic?
Are kids less susceptible?
Is there pre-symptomatic transmission?
What are the long-term consequences?
How long does immunity last?
Does Alpha spread faster?
How effective are the various vaccines?
How many cases are there?
Are monoclonal antibodies effective?
Does Gamma escape prior immunity?
Will we need vaccine boosters?
No way for responsible experts to provide them.
Photo: Carl Bergstrom
An information ecosystem designed to meet demand —
whether accurate, or not.
The result:
a massive
uncertainty
vacuum, into
which flowed…
Photo: Carl Bergstrom
Organized
disinformation
campaigns
Disingenuous
governmental
messaging
Fake studies
&
astroturfing
Dreadful preprints
Equally
dreadful peer-
reviewed work
Organized
agnotogenesis
Sloppy
reporting
Overhyped press releases,
credulously repeated
People who see
a crisis as a
career opportunity.
Cherry-picked
anecdotes and
studies
Photo: Carl Bergstrom
And all of
this wrapped
in the
authority of
numbers
Photo: Carl Bergstrom
Photo: Carl Bergstrom
People didn’t know who to trust.
Some ended up following questionable sources.
Others just gave up.
Photo: Carl Bergstrom
The point of modern propaganda
isn't only to misinform or push an
agenda. It is to exhaust your critical
thinking, to annihilate truth.”
— Garry Kasparov (2016)
.
Photo: Carl Bergstrom
Photo: Carl Bergstrom
If we can be convinced that half of
our fellow citizens are evil, irrational,
or can’t be reasoned with, we begin
to lose faith in democracy.
Photo: Carl Bergstrom
Science education has to adapt
to a world of social media
misinformation and disinformation.
My view circa 2015:
Teach data reasoning
Photo: Carl Bergstrom
We are swimming in a sea of information
We swim in a sea of information
Photo: Carl Bergstrom
Much of it is digital. Quantitative. Data-driven
Photo: Carl Bergstrom
…and much of that is nonsense.
Photo: Carl Bergstrom
We’re good at spotting
misleading words.
Photo: Carl Bergstrom≈
Numbers are a lot harder.
Photo: Carl Bergstrom
Numbers feel technical, arcane, scary.
Photo: Carl Bergstrom
Numbers seem to come straight from nature.
Photo: Carl Bergstrom
Numbers have become central
to how we reason and to
how we communicate
But we are reluctant
to challenge numbers
This is a big problem because numbers
can be every bit as subjective as words.
Photo: Carl Bergstrom
Photo: Carl Bergstrom
Numbers are used to make
us feel alone—and helpless.
And so numbers are power.
Photo: Carl Bergstrom
But we aren’t teaching our
students to question numbers.
Photo: Carl Bergstrom
Our STEM
students
excel at
mechanics…
but never
learn to
think
critically.
Photo: Carl Bergstrom
http://callingbullshit.org
Data visualization Big data / ML / AI
Media literacy
Nature of science
Positive
Not
positive
bupropion
SR
(Wellbutrin
SR)
citalopram
(Celexa)
duloxetine
(Cymbalta)
escitalopram
(Lexapro)
fluoxetine
(Prozac)
mirtazapine
(Remeron)
nefazodone
(Serzone)
paroxetine
(Paxil)
sertraline
(Zoloft)
paroxetine
CR
(Paxil
CR)
venlafaxine
(Effexor)
venlafaxine
XR
(Effexor
XR)
42
43
9 44
10 21 27 45 66
4 11 22 28 36 46 67
5 12 17 23 29 37 47 58 68
6 13 18 24 30 38 48 59 61 69 72
1 7 14 19 25 31 39 49 60 62 71 73
32 51
56
Journal view
Positive
Not
positive
42
43
26 44
9 21 27 45 66
10 17 22 28 36 46 67
4 11 18 23 29 37 47 58 68 72
1 5 12 19 24 30 38 48 59 61 69 73
2 6 13 20 25 31 39 49 60 62 70 74
3 7 14 32 40 50 63 71
8 15 33 41 51 64
16 34 52 65
35 53
54
55
56
57
FDA view
Clinical trial outcomes
Different perspectives
TOPICS
Selection bias
Correlation & causation
Presentation of numbers
Refutation
Algorithm
?
Data
Data
Data
Output
Even when you don’t know how an algorithm or
statistical test works, you can spot bullshit by looking
carefully at what goes in and what comes out.
Interpretation
Who is telling me this?
How do they know it?
What are they trying to sell me?
Photo: Carl Bergstrom
Media literacy
Lateral reading
Photo: Carl Bergstrom
Recent changes in our social
systems have been
Drastic.
Opaque.
Massive in scale.
Effectively unregulated.
…and designed not to promote sustainability
or human happiness, but rather via engineering
decisions to maximize corporate profits.
Photo: Carl Bergstrom
Numbers must be
presented in context.
That means they must allow
us to make relevant comparisons.
Photo: Carl Bergstrom
That’s 22.2 billion dollars a year.
This is less than half a percent of the US budget.
This is 67 dollars per capita in the US.
Given the estimated 8 trillion dollar cost of the pandemic
to the US economy, we could spend 22 billion a year for
centuries and still come out ahead.
Goodhart’s law
(rephrased by Marilyn Strathern)
When a measure becomes a target,
it ceases to be a good measure.
Campbell’s law
(rephrased by Carl Bergstrom)
When a measure becomes a target,
people to do stupid things.
Quantification and incentives
9.9.20 Iowa Starting Line
Selection bias
Causality
Forbes
Machine learning and artificial intelligence
But what is that AI actually looking at?
Zech 2018; Zech et al. 2018
Data visualization
Designers have great
latitude to determine how
you feel about the data.
Photo: Carl Bergstrom
What I am thinking today:
Teach the social nature of science.
Photo: Carl Bergstrom
Photo: Carl Bergstrom
Recall the problem: people don’t know who to trust.
Data reasoning is valuable. But it’s not enough.
No one figures out everything on their own.
Photo: Carl Bergstrom
Photo: Carl Bergstrom
The enlightenment idea of knowledge solely through individual
rationality is dead. Our world has become far too complex.
Photo: Carl Bergstrom
Denialists often use
the “do your own
research” trope
against science.
I’m “not some sort of anti-vaxx flat Earther.
I am somebody who’s a
critical thinker. I “did
[my] own research.”
https://sciedandmisinfo.stanford.edu/
Science education must adapt to world of
social media misinformation and disinformation.
Photo: Carl Bergstrom
“The Soviet Union now has—in
the combined category of
scientists and engineers—a
greater number than the
United States. And it is
producing graduates in these
fields at a much faster rate.”
President Dwight Eisenhower. November 13th, 1957
Radio and Television Address to the American
People on "Our Future Security."
“This trend is disturbing.
Indeed, according to my
scientific advisers, this is for
the American people the
most critical problem of
all….We need scientists in the
ten years ahead. They say
we need them by thousands
more than we are now
presently planning to have.”
“We should…have a system of
nation-wide testing of high school
students; a system of incentives for
high aptitude students to pursue
scientific or professional studies; a
program to stimulate good-quality
teaching of mathematics and
science; provision of more
laboratory facilities; and measures,
including fellowships, to increase
the output of qualified teachers.”
SCIENTIFIC INSIDERS
COMPETENT OUTSIDERS
Competent outsiders are ”people
who have learned to recognize
the moments when science has
some bearing on their needs and
interests and to interact with
sources of scientific expertise in
ways that help them achieve their
own goals.”
Noah Feldstein (2011)
Science Education 95:168-185
The public needs to know enough about how science works
to know why (and when) it is trustworthy
Photo: Carl Bergstrom
2011
Core competencies for disciplinary practice
“Studying biology means practicing the skills of posing
problems, generating hypotheses, designing
experiments, observing nature, testing hypotheses,
interpreting and evaluating data, and determining how
to follow up on the findings.
In effect, learning science means learning to do science.”
Every one of these competencies could be
carried out alone, without outside human contact
We need to teach how
science works as a
social institution.
Photo: Carl Bergstrom
Logistics
Photo: Carl Bergstrom
Incentives
Photo: Carl Bergstrom
Expertise
Photo: Carl Bergstrom
Peer review
Photo: Carl Bergstrom
Uncertainty
Photo: Carl Bergstrom
Consensus
Photo: Carl Bergstrom
Self-correction
Photo: Carl Bergstrom
http://ctbergstrom.com
@CT_Bergstrom
Photo: Carl Bergstrom

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Transforming Science Education in An Age of Misinformation