I am very happy to discount all social media posts and even opinions of individual doctors for the sake of using solid research to evaluate vaccine effectiveness.
I think it is useful to scrutinise statistics thoroughly though, so I looked at these, cited earlier, of New York State's vaccinated and unvaccinated covid hospital admissions.
https://coronavirus.health.ny.gov/covid-19-breakthrough-data
The graphs presented are concerning, in more than one respect, and the methodology used and described here,
https://www.cdc.gov/mmwr/volumes/70/wr/mm7037a7.htm?s_cid=mm7037a7_w
is interesting too.
The first thing that struck me about the graph of 'New daily cases over time by vaccination status' was the large upswing in cases for December, because it reminded me that hospitalisations for many vulnerable people are likely to rise in winter.
So I got thinking about the methodology, and checked if the figures were raw data or whether they had been balanced by consideration of pre-existing health conditions, particularly to take into account what percentage of the unvaccinated were people with exemption for health reasons, such as cancer treatment or other immunity weaknesses for example. This had not been done.
I don't know how much difference this would make, but it is good practice in data analysis.