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The April 14 commentary "Experts don't always know best" makes some important points but skates over a couple that are key in who should make decisions in the science/policy arena.
First, despite the frailties raised by the writer, Cory Franklin — that we are all human and hence biased — the scientific process works because it recognizes them. It is not just the requirement that science is based on evidence carefully collected under controlled conditions that matters but that the evidence has to be repeatable in a way that convinces the community of scientists. This is why science delivers so spectacularly, like in identifying causes, treatments and vaccines in the pandemic.
Second, with complex policy problems, science gives options, not decisions — for example, public health measures for COVID and the consequent infection and death rates. Which is acceptable in a democracy ought to relate to the preferences of those affected. There is a temptation to go with the expert judgments but, as Franklin argues, these may not square with what the public wants, and science becomes politicized. Capturing public preferences is challenging given the cloud of complexities and misinformation surrounding most public policy decisions. One option is to defer to elected officials to represent the public view. But more participation is likely to lead to more ownership, and IT provides new opportunities (e.g., in crowdsourcing) that are worth exploring.
So: Rely on science as a sound basis for policymaking, be suspicious of experts who advocate solutions as if they are mandated by the science, and find better ways of sounding out what the public wants.
Peter Calow, Minneapolis
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