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Re:The Peril of Politicizing Science [pdf] by roenxi on Sunday August 22, 2021 @06:49PM (#28270476)
The logical conclusion of this train of thought is ... not to make policy based on science. Just make the science available, and let people do what they like.

If the plan is to create policies based on "the science", then people will lie about what the science is in order to get their policies into play.

It is hard to convince people with that opener, but the evidence is that it works quite well. One of the interesting tricks about Western democracies is that it channels the fleeting madness of crowds in the most productive direction without trying too hard to suppress it.

Re:The Peril of Politicizing Science [pdf] by katzgrau on Sunday August 22, 2021 @09:15PM (#28271359)
> If the plan is to create policies based on "the science", then people will lie about what the science is in order to get their policies into play.

Or, in my opinion, more frequently - sincerely adhere to, but not actually understand the science and still push those policies anyway.

I've been more concerned with people who claim that some viewpoint is based on "science" while they actually don't even have a surface level understanding of it and whether it's been twisted to support a particular viewpoint. For the sufficiently hardheaded and ignorant, "science" is another form of religion and one-word conversation stopper.

More of a comment, no suggested solution.

Re:The Peril of Politicizing Science [pdf] by __s on Sunday August 22, 2021 @07:50PM (#28270861)
Except what are policies supposed to be based on? Replacing "science" with "data" is effectively the same thing. So policies are supposed to be pushed without evoking evidence of their effectiveness? Referencing where such policies have worked elsewhere is referencing experiments
Re:The Peril of Politicizing Science [pdf] by SpicyLemonZest on Sunday August 22, 2021 @11:19PM (#28272002)
Policies are supposed to be (and inevitably are) designed based on a balance between empirical analysis of their likely effects and a more holistic analysis of what people want. The holistic factors determine what kinds of empirical evidence are relevant and how much of it is required. If someone tells you they've designed a policy based purely on "science" or "data", they've baked in some implicit value judgments, and you've gotta understand what they are to properly evaluate the policy.