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posted by martyb on Thursday November 14 2019, @12:31AM   Printer-friendly
from the I-don't-want-knowledge-I-want-certainty dept.

Jeremy P. Shapiro, a professor of psychology at Case Western Reserve University, has an article on The Conversation about one of the main cognitive errors at the root of science denial: dichotomous thinking, where entire spectra of possibilities are turned into dichotomies, and the division is usually highly skewed. Either something is perfect or it is a complete failure, either we have perfect knowledge of something or we know nothing.

Currently, there are three important issues on which there is scientific consensus but controversy among laypeople: climate change, biological evolution and childhood vaccination. On all three issues, prominent members of the Trump administration, including the president, have lined up against the conclusions of research.

This widespread rejection of scientific findings presents a perplexing puzzle to those of us who value an evidence-based approach to knowledge and policy.

Yet many science deniers do cite empirical evidence. The problem is that they do so in invalid, misleading ways. Psychological research illuminates these ways.

[...] In my view, science deniers misapply the concept of “proof.”

Proof exists in mathematics and logic but not in science. Research builds knowledge in progressive increments. As empirical evidence accumulates, there are more and more accurate approximations of ultimate truth but no final end point to the process. Deniers exploit the distinction between proof and compelling evidence by categorizing empirically well-supported ideas as “unproven.” Such statements are technically correct but extremely misleading, because there are no proven ideas in science, and evidence-based ideas are the best guides for action we have.

I have observed deniers use a three-step strategy to mislead the scientifically unsophisticated. First, they cite areas of uncertainty or controversy, no matter how minor, within the body of research that invalidates their desired course of action. Second, they categorize the overall scientific status of that body of research as uncertain and controversial. Finally, deniers advocate proceeding as if the research did not exist.

Dr. David "Orac" Gorski has further commentary on the article. Basically, science denialism works by exploiting the very human need for absolute certainty, which science can never truly provide.


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  • (Score: 1) by khallow on Monday November 18 2019, @04:03PM

    by khallow (3766) Subscriber Badge on Monday November 18 2019, @04:03PM (#921550) Journal
    For a different take [spectator.co.uk]. From your link, I think this quote is worthy of comment:

    The Mike in question was Michael Mann, professor of atmospheric science at Penn State University, who had worked with Jones for years. His “trick” was no more than a simple technique to combine the records of temperatures measured directly by thermometer with estimates made from tree rings (which roughly reflect temperature variations). “In fact, the email was an entirely innocent and appropriate conversation between scientists,” Mann states in this week’s BBC Four documentary, Climategate: Science of a Scandal. He and Jones were merely trying to find appropriate ways of illustrating a graph of global temperature changes.

    This view was not shared by Sarah Palin: the former US vice-presidential candidate wrote a Washington Post op-ed article that claimed the emails “reveal that leading climate ‘experts’ … manipulated data to hide the decline in global temperatures”.

    Subsequent investigations by journalists showed these claims were unsupportable, however. Guardian writer Fred Pearce studied the leaked emails and produced a book, The Climate Files, from his research. “Have the Climategate revelations undermined the case that we are experiencing made-made climate change? Absolutely not,” says Pearce. “Nothing uncovered in the emails destroys the argument that humans are warming the planet.”

    Notice the game played here. For a reason that has yet to be explained, tree ring data goes off the rails around 1960. So Mann "hid the decline" by simply not using tree ring data after 1960. This has led incidentally to some clever burying [justfacts.com] of the tree ring curve under other curves that conveniently hide that it stops at 1960. While it is true that reality isn't going to care what sort of shenanigans scientists do, the rest of us, who are trying to interpret reality through this filter do need to care.