> Our machine learning approach relies on different assumptions—(i) that there was no measurement error for COVID-19 deaths in hospitals and (ii) that a model trained on in-hospital deaths is transportable to out-of-hospital settings.

Whether these assumptions are valid is highly debatable given various incentive structures applied in in-hospital settings over the period studied.

> given various incentive structures applied in in-hospital settings over the period studied.

My vague memory is that that was disinformation commonly spread by COVID deniers that has been thoroughly debunked.

Could you point me to a good source about it being true?