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Cake day: June 24th, 2023

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  • braxy29@lemmy.worldtoPeople Twitter@sh.itjust.worksClimate change deniers
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    22 days ago

    the domestic oil industry employs more than a couple hundred people. and i don’t think most people are ready to support a policy that sounds like “i want to take your job, the jobs of your friends and family, and destroy your town.” they aren’t going to vote to support progressive climate policy unless there is a solution to their very real concerns.

    edit for clarification - i don’t think most of the people employed in that industry or in communities it supports are ready, etc.







  • i could say a lot in response to your comment about the benefits and shortcomings of algorithms (or put another way, screening tools or assessments), but i’m tired.

    i will just point out this, for anyone reading.

    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2573025/

    i am exceedingly troubled that something which is commonly regarded as indicating very high risk when working with victims of domestic violence was ignored in the cited case (disclaimer - i haven’t read the article). if the algorithm fails to consider history of strangulation, it’s garbage. if the user of the algorithm did not include that information (and it was disclosed to them), or keyed it incorrectly, they made an egregious error or omission.

    i suppose, without getting into it, i would add - 35 questions (ie established statistical risk factors) is a good amount. large categories are fine. no screening tool is totally accurate, because we can’t predict the future or have total and complete understanding of complex situations. tools are only useful to people trained to use them and with accurate data and inputs. screening tools and algorithms must find a balance between accurate capture and avoiding false positives.