It would be interesting to plot some geographical data about comorbidities, particularly obesity.
On 8/11/21 9:09 AM, Marcus Daniels wrote: > It is weird there are orders of magnitude of variability. I wonder if it is > differences in spatial distribution of the different vaccines? Ethnicity? > Prevalence? > -----Original Message----- > From: Friam <friam-boun...@redfish.com> On Behalf Of u?l? ?>$ > Sent: Wednesday, August 11, 2021 8:06 AM > To: friam@redfish.com > Subject: Re: [FRIAM] off-label technologies, exaptatiion and exponential > technological growth. > > Attached. > > Missing Arkansas, Connecticut, Florida, Hawaii, Iowa, Kansas, Maryland, > Missouri, New York, Pennsylvania, West Virginia, Wyoming. > > On 8/10/21 4:43 PM, David Eric Smith wrote: >> I am sure it is just dieseling at this point, but I was pleased to see the >> following article: >> https://www.nytimes.com/interactive/2021/08/10/us/covid-breakthrough-i >> nfections-vaccines.html >> <https://www.nytimes.com/interactive/2021/08/10/us/covid-breakthrough- >> infections-vaccines.html> (I usually get to these things late; y’all >> probably have read it already) >> >> In reading the first table, on hospitalization and death fractions by >> vax/unvax, I was thinking “okay, now since we have vaccinated >> fractions by date, we could do a covariance plot, and of course could >> then do more involved multiple regressions on dummy variables as we >> could find them.” (No pun meant on “dummy variable”, though I am >> unable to miss it myself. Things like measures of hospital >> performance, coverage of masking rules or other public health >> measures, population density and gathering density, etc. Some of >> these to be proxies for fraction exposed, which is hard to get at.) >> >> But then that is just where the article goes. It’s funny how a pair made of >> a careful writer and a lazy reader can be an unhelpful combination. The >> text leading to the second table says "people who were not fully vaccinated >> were hospitalized with Covid-19 at least five times more often than fully >> vaccinated people, according to the analysis, and they died at least eight >> times more often.” I remember the nice passage in John Paulos’s book >> “Innumeracy”, where (to make some point, which I now forget), he comments on >> why a sign over the highway “Entering New York, Population at least 6” is >> not particularly informative, though quite true. >> >> Look then at the distribution of multipliers in the table. For the “at >> least five times” column, the first six entries, alphabetically, are 75x, >> 17x, 47x, 68x, 22, 148x, 161x, and likewise for the “eight times” column. >> Ahh, if the American Public would only tolerate being shown a histogram >> giving the whole distribution at a glance…. Of course, if I were not lazy, >> I could find and download the data and make my own histogram. >> >> But, credit to those authors. Within the bounds of what is permitted to >> them, this is a useful data digest. >> >> Eric > > -- > ☤>$ uǝlƃ > - .... . -..-. . -. -.. -..-. .. ... -..-. .... . .-. . > FRIAM Applied Complexity Group listserv > Zoom Fridays 9:30a-12p Mtn GMT-6 bit.ly/virtualfriam > un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com > FRIAM-COMIC http://friam-comic.blogspot.com/ > archives: http://friam.471366.n2.nabble.com/ > -- ☤>$ uǝlƃ - .... . -..-. . -. -.. -..-. .. ... -..-. .... . .-. . FRIAM Applied Complexity Group listserv Zoom Fridays 9:30a-12p Mtn GMT-6 bit.ly/virtualfriam un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com FRIAM-COMIC http://friam-comic.blogspot.com/ archives: http://friam.471366.n2.nabble.com/
