Pants on Fire 2023 Geoffrey W. Sutton & Bing AI |
CLIMATE
SCIENCE and the Unscientific MIND
Challenging
Thoughts About Climate Science
and
Psychological Explanations
Climate
science has become a political football. The teams of political rivals seek to
exploit research about climate science to score points they can trade in for
political power. Their fans cheer and sneer and look for penalties.
Now a
scientist seems to reveal a weakness. Good scientists can look back on their
studies and those of others to identify what should have or could have been
considered. It’s the never ending quest we read in scientific journals, “more
research is needed.”
Patrick
Brown is a climate scientist. He’s caught some attention for his opinion piece
about other variables that could account for the world’s wicked wildfires. Shannon
Osaka does a good job of telling the complex story in WAPO, but I’m not
sure the details will change the game.
But then he
changes fields to become an amateur psychological scientist. Note his musing about
WHY in the quote below.
So why does the press focus so intently on climate change as the root
cause? Perhaps for the same reasons I just did in an academic paper about
wildfires in Nature, one of the world’s most prestigious journals: it fits a
simple storyline that rewards the person telling it. (Brown,
2023, September 12)
In his
opinion piece he refers to such actual and quasi psychological concepts such as
rewards , “reinforcing feedback loops,” narrative, and framing. I was thinking
he missed confirmation bias. But he didn’t. He actually uses the term
and applies it to the editors and reviewers of journals.
Whether
Brown’s day in the sun extends to a week or so, is speculation. He offers a bit
of insight into the problem of confirmation bias—that problematic cognitive
bent that influences human minds to search for evidence supporting our beliefs
and ignoring contradictory evidence. I’ve seen it in political sparring, clergy
sermonizing, psychological writing, and yes, even myself.
I evaluated
a lot of scientists and brilliant people in my career. No matter how high the
IQ scores or deserved level of prestige, their brains were not perfectly
logical thinking machines. A number of biases interfere with accurate thinking.
[Read more in Thinking, Fast and Slow by Daniel Kahneman.]
The good
news is, over the long haul, science is self-correcting. By that I mean,
eventually the best theories win because they account for the available
evidence and lead to new discoveries some of which save lives or make the
quality of our lives much better.
I’m
skeptical about climate science BUT, I am skeptical about most theories. I’m
skeptical about what politicians say, what clergy preach, what advertisers
promote, and what I read. I do not expect certainty when it comes to scientific
findings or recommendations from friends. I do like data. I appreciate evidence.
Oddly,
Brown’s piece shows he’s thinking like a scientist. He’s considering other
factors that could account for a phenomenon. He’s not just going against a
popular narrative; he’s fighting human nature. We like simple answers and avoid
ambiguity, complexity, and uncertainty. I suggest that learning to live with
ambiguity, complexity, and uncertainty is a mark of maturity.
I’ll leave Brown and other climate scientists to ponder the variables relevant to explaining global warming or destructive events. When it comes to explaining why Brown or anyone else does something, I suggest we consider multiple variables as well.
Why would anyone think Brown has explained his own behavior or that of other scientists based on his answer to the “Why” question?
Has he really considered all the relevant variables that account for human behavior in himself, journal editors, and peer reviewers? Was he able to predict the contribution of his article to the wellbeing of humankind?
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