What conclusions can we draw from this?
How is this garbage data? Maybe it is, but I think you may need to do more work here than just calling him names. Everyone seems to feel very strongly about this on both sides, but I get the sense he made a good-faith effort with legitimate data. Perhaps you could do the same if you feel his conclusions were incorrect?
[1] https://healthdata.gov/dataset/COVID-19-Reported-Patient-Imp...
[2] https://wallethub.com/edu/states-coronavirus-restrictions/73...
Its the poor who are also most harmed by the harsh economic effects of the covid response.
Things I would look for in the data would be, at least:
- Are there substantial differences in the restrictions? If the least stringent rule is "wear masks in many public spaces", and the most stringent rule is "weak masks in slightly more public spaces", that wouldn't be substantial. Substantial differences would include actual lockdowns/curfews/closure of non-essential business. A strict limit of "one customer per N square meters of shop space" might also be substantial, if N is large enough.
- Are compliance and enforcement taken into account?
- (Pointed out by another poster:) Is population density taken into account?
> I think you may need to do more work here than just calling him names.
I might. But then again, if a renegade software developer on Twitter claims to overturn the medical community's consensus in one chart, I might not.
Also, there is no medical consensus on this array of restrictions and I don't think he claims to overturn anything. There is a robust and healthy debate among scientists and medical professionals on the effectiveness of school closures, lockdowns, temperature checks, etc. The scientific certainty of mask efficacy in some circumstances simply can't be a stand-in for every pandemic restriction.
I understand this is a polarizing topic because it maps closely to political leanings, but we should all try to be more open-minded to good faith efforts to understand the data whether it confirms our biases or not.