Defaults to log-log, which isn't terribly helpful.
Also, "GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates": that's also likely to trip people up.
It would seem that the most likely explanation is that richer countries are better at confirming deaths? Or that small, dense urban microstates did badly? (Hong Kong the massive outlier)
Would be more accurate too since the different ways to attribute deaths to covid really pollutes the data. For instance, in some places, they literally went with "any death within N amount of days after a positive covid test" (N usually being around 28 days) no matter what the reason was.
The creates an inflated number that was convenient for politicians/health orgs to drive whichever policy they desired. Data was usually massaged to justify pre decided policy, not the other way around (common occurrence in economics/politics and think tanks).
The proverbial “motorcycle accident 3 weeks after fully recovering from covid” was particularly maddening when used to justify virtually unlimited powers. More credibility was lost than compliance was gained, I guarantee you.
>> Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not
accurately represent the true number of deaths caused by COVID-19.
How can this then be "confirmed deaths" if they themselves state it's not possible to accurately determine them.
Millions died despite mitigations. The excess mortality in some countries was 1,000 per 100k, much worse than bad flu seasons which are sub 100 per 100k.
Also, "GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates": that's also likely to trip people up.
It would seem that the most likely explanation is that richer countries are better at confirming deaths? Or that small, dense urban microstates did badly? (Hong Kong the massive outlier)