I wouldn't necessarily call the data "garbage" but the numbers are definitely _soft_. But soft numbers are a common issue with many areas of public health. In

I wouldn't necessarily call the data "garbage" but the numbers are definitely _soft_. But soft numbers are a common issue with many areas of public health. In particular, analysis of the current pandemic suffers from both a "numerator" and "denominator" problem (http://conflict.lshtm.ac.uk/page_83.htm http://conflict.lshtm.ac.uk/page_83.htm) I think many of us are accustomed to getting high-quality stats when studying a process. But that's often not possible with a fast-moving public health issue. I think you have to acknowledge the limitations of the data, but it can still be helpful. The thing I _don't_ like about the JHU dashboard is that it doesn't really let you slice the data in interesting ways. For example, I'd like to be able to click on a country or state/province and see temporal data. This doesn't seem like it would be that difficult, but maybe I'm naive.