Sort this table by per-capita total deaths: https://www.worldometers.info/coronavirus/country/us/
And that's just by state. NYC proper is likely even worse than that would suggest.
NYC confirmed deaths related to Covid-19: 7,890 and counting.[1]
9/11 death toll: 2,996.
[1] https://www.wsj.com/articles/new-york-citys-coronavirus-deat...
New York is denser than any city in California.
"New York is far more crowded than any other major city in the United States. It has 28,000 residents per square mile, while San Francisco, the next most jammed city, has 17,000, according to data from the U.S. Census Bur"
https://www.nytimes.com/2020/03/23/nyregion/coronavirus-nyc-...
https://www.brookings.edu/blog/future-development/2020/04/07...
Basically only timing of shelter-in-place does.
And a sibling thread mentioned the subway; it doesn't go to Staten Island.
Risk is not additive. The median age for covid deaths is well into the late 70s, which means that there is a high risk of death in the same period anyway would the person not have been infected with covid.
The overall mortality numbers will be up, but throwing that stat out there is hugely misleading.
If I'm struck by a car with stage 4 cancer, the car accident killed me, regardless of my outlook. If that car accident happens to be highly contagious, well then the cause is even more important.
> Risk is not additive.
It isn't always, but it very often is and it is in this case.
this is not obviously true. the analogy is good, but you didn't go into enough detail.
if someone with terminal cancer is hit by a car, makes it to a hospital, and dies some weeks later, why did they die? both things likely played a role; how do you report this statistic?
i stopped worrying about the virus and started worrying about the economy and its politics weeks ago.
This is an awful example though because the victim profile of car deaths is generally middle aged adults, who would not have died otherwise. If your average car driver was a stage four cancer patient traffic safety would indeed be less of an issue relatively speaking.
The risk profile of covid patients skews so heavily towards old age and existing preconditions that it is actually not trivial at all. It's immensely important to look at death rates in the context of general mortality, not a vacuum.
It may very well be the case that covid 'crams' the deaths of people who would have died anyway into a short timeframe and there'll be singificantly lower flu mortality and so on later this year.
You've highlighted the exact problem with your argument via this supposition.
Johns Hopkins shows 14,451 deaths as of now: https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.h...
This is less than the original parent states, but only by 2x.
[0] https://www.google.com/search?client=safari&rls=en&q=coronav...
[1] https://www.google.com/search?client=safari&rls=en&q=nyc+pop...
[2] Elementary math?
Overall mortality, compared to the baseline, has skyrocketed in the past few weeks. For the March 4 - April 4 time period, it was double the usual rate. [2]
[1] https://www.npr.org/sections/coronavirus-live-updates/2020/0...
[2] https://www.nytimes.com/interactive/2020/04/10/upshot/corona...
Look up population
Derive percentage
https://www.google.com/search?q=nyc+population says 8.4M
https://www.google.com/search?q=corona+death+toll+nyc says 10k
https://nypost.com/2020/04/18/nyc-coronavirus-deaths-near-13... says 13k
This gives 0.1%. The OP's numbers are based on 6M population & 15k deaths. I believe their trying to cite total deaths, not just covid-19 related. Their NYC region also seems to be more localized