> Someone who caught covid at work knowing they were immunocompromised but needed the money, did they did our pandemic or poverty? When looking at aggregate st

> Someone who caught covid at work knowing they were immunocompromised but needed the money, did they did our pandemic or poverty? When looking at aggregate statistics one of examples can't be considered, the data simply isn't there. Also for this example I believe the answer would be that the fictious person would have died with covid and poverty, notof either one. > Someone who died of preventable covid complications but couldn't access adequate Healthcare because of money? Similar issues here. The study want designed to look into these concerns and the data just isn't there. In this example it's also be impossible to know if the person does of preventable complications, at best you could say they died with complications that are often treatable or preventable. My point with regards to this study was simply that they are looking at people who died of drug overdoses, weather exposure, hunger, etc and rolling that up to say they died from poverty as those issues are often linked to poverty. I'm arguing that they would have to make a similar decision for any poverty caused by the pandemic and pandemic response, they wouldn't have been poor if not for the pandemic just like the study is assuming someone wouldn't have died of not for being below their definition of poverty. If a study gets to pick and choose whether they want to pin the blame on covid or poverty then the data really is useless. Solid data backed up by empirical evidence showing causation, which is what this study attempts to do, is directional and can't be flipped around. It's worth noting here the article is calling poverty a cause of death, not a contributing factor. They are making the claim that it is directly causal, in which case the order isn't reversable.