As I put it at a blogging panel last fall, "in science, it is normative to be not sure." It wasn't my most eloquent moment, but at least AAAS' president-elect Alice Huang agrees with me that one of the biggest challenges to public science literacy is understanding the contingent nature of scientific "truth".
But probably the most difficult concept to get across to nonscientists is that we look at data and then use probabilities to judge those data. The public wants an absolute black-and-white answer. We may look at something that is 80 percent likely as being good enough to base decisions on…
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