4 ms·
>This change wasn’t adopted at a national level in a single moment; that would have led to a single step-wise change in mortality rates. Instead, the measuremen
by coldtea 3y ago
>This change wasn’t adopted at a national level in a single moment; that would have led to a single step-wise change in mortality rates. Instead, the measurement change was adopted state by state, which led to a gradual rise over 14 years.
You know what else would also lead to a "gradual rise over 14 years"? Actual worsening poverty conditions and access to healthcare.
If it's due to measurement change, a state by state adoption of new measurements indeed would not lead to a single step-wise change. But it would lead to multiple step-wise changes (the step points being after each new set of adopting states publishes their new numbers, especially for the larger states).
Those would be hard to tell from a gradual organic change, and it would rather mask any gradual organic change (e.g. a 15% percent "organic" increase that would have been there even without new measurement applied, would be masked by a 80% measurement-change-related increase).
So, it's not so clear whether there was a decline in actual numbers or not. Just that more deaths that were missed are now measured.
And their plot conveniently stops at 2017 - if it didn't we'd have 6 years where the "measurement change" doesn't apply (as it's the year all states have already adopted the new measurement), and we could see if there's still an increase.
- gus_massa 3y agoIt looks like the graphic at the top has 3 more years. It looks like "big down", "up", "up". The last point is 2020 and is slightly bigger than 2017, but it may be noise or some effect of covid-19. I agree that it would be interresting to see more data after all states use the new method, but the change of methodology is a possible explanation. In particular, because the new methodology includes death during one year, that are easy to be ignored if there is no checkbox. Is the data split state-by-state available? It may be interesting to analyze it.