I'm criticizing the CDC decision's to publish that model, later claims that their over-prediction was due to intervention, and our community's defense of unrealistic social mixing models that we know lead to over-prediction.
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From talking to modelers, I got the impression the CDC's model was just way to simple and basically they didn't know what they were doing. Is that not true?
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Whether the CDC intentionally published over-estimated projections is still a matter of debate. But I would certainly argue that the simplifying assumptions used in their model accounted for much of the overestimation and strongly biased their results on interventions.
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is there any evidence they "intentionally" overestimated? Or is that just a hypothesis?
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None.
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W odpowiedzi do to @svscarpino@FoodieScience i jeszcze
Great thread. I'd also add that ~who (or in this case, what entity) publishes results from a lousy model matters, too. As Sam's histogram notes, many forecasts performed well (enough) – but because it was the CDC that overshot, we're still talking about it today. 1/2
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W odpowiedzi do to @maiamajumder@svscarpino i jeszcze
Don't get me wrong; I think it's great that we're still talking about it, precisely for the reasons Sam raised... But I don't think we would be if it hadn't been the CDC (or an equally powerful stakeholder group) that overshot and then (unethically) tried to explain away. 2/2
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W odpowiedzi do to @maiamajumder@FoodieScience i jeszcze
Very much agreed. I also find the rhetoric from the CDC around why they used their model frustrating, e.g., others were too complex (Meltzer et al. had more params than all other models in Chretien) & others were too slow (8 forecasts online before Melter)https://apnews.com/fbb4fc8921d54201a1c5ca91e5b601f5/cdcs-top-modeler-makes-estimates-and-courts-controversy …
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W odpowiedzi do to @svscarpino@maiamajumder i jeszcze
I think it’s important to clarify that CDC’s projection of their worst-case scenario was not just an estimate on one side of the spectrum.
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W odpowiedzi do to @C_Althaus@svscarpino i jeszcze
Their projection was ridiculous at best, and careless at worst.
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Assuming continuous exponential growth of an epidemic is like saying Bitcoin will consume more electricity than the whole planet.
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W odpowiedzi do to @C_Althaus@svscarpino i jeszcze
I laughed at this tweet, and then I cried.
0 odpowiedzi 0 podanych dalej 3 polubioneDziękujemy. Twitter skorzysta z tych informacji, aby Twoja oś czasu bardziej Ci odpowiadała. CofnijCofnij
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Wydaje się, że ładowanie zajmuje dużo czasu.
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