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#10
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My problem with covid restriction predictions by virologists is a question of liability bias. And I use mostly my own job experiences in terms of how I can relate
For example, when I’m training new hires, I explain a scenario: let’s say I have a school making a request for a student. We now have 3 stakeholders involved in the decision as to what to do with the student: the school, the student, and the student’s parents. And those 3 can often have very different ideas of the best plan with very different motivations The student’s can often be the path of least amount of effort on their part, the most convenient option, which is to do nothing. The parent’s is usually a combination between safety and health of the student and being able to financially afford the treatment, for example hospital stays can cost a parent thousands of dollars in co-pays, so it raises a serious question of is this stay absolutely necessary. And the school’s number 1 priority is liability for them. This means a school will 100% of the time want the most safe, and most expensive, treatment outcome If all parents followed school requests and hospitalized 100% of students the school recommended, the hospital system and public health insurance infrastructure would collapse. It is simply not possible. This is why there is a triage process to hospitalize those that most need it (are at the highest risk) Analysis of covid restrictions is the same thing. No virologist scientist or doctor wants to be the one saying “nah fam, it’s fine, open everything up” because that could be a liability nightmare for them. They are far more likely to have a bias towards protecting their own professional liability rather than an outcome good for all stakeholders. Also, it’s hard to refute a claim of “yeah but if we didn’t lock down, everyone would have died”, or something like that, since it is a hypothetical I’ve said my issue with liability bias in covid predictions from virologists before | ||
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Last edited by unsunghero; 02-15-2022 at 01:15 PM..
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