Is there a name for this fallacy of going into third degree analysis of massively inaccurate data even though you know the data is bad? But it’s the best data you have and you love third degree analysis. So you forget about the bad data and believe that your results are good.
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Not only I’m seeing many people evaluating different countries’ response to covid9 based on number of cases, even though this metric mostly measures the deployment of tests
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Yeah and it seems many countries are pretending like nothing is happening simply by not testing.
End of conversation
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Keynesian economics you mean.
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