More grumbling: The folks that aren't wearing seat belts may be costing us money, but they aren't endangering the people going to bat for them like Renee.
-----Original Message----- From: Friam <friam-boun...@redfish.com> On Behalf Of u?l? ?>$ Sent: Wednesday, August 11, 2021 12:02 PM To: friam@redfish.com Subject: Re: [FRIAM] off-label technologies, exaptatiion and exponential technological growth. Well, there is this: What Do Full Hospitals Really Tell Us About COVID? https://reason.com/volokh/2021/08/09/what-do-full-hospitals-really-tell-us-about-covid/ I mean, even Renee's ED up here in WA is full every day, with ambulance paramedics caring for patients in the hallways until an ED bed frees up. So I can only imagine what LA's or TX's hospitals are like. But TX is state of the art in medicine, especially cardiology. So perhaps LA's numbers are way off? Maybe there's a lot of people in LA who *would* be hospitalized if they lived in TX? On 8/11/21 11:22 AM, Marcus Daniels wrote: > Consider deaths in Louisiana (20) vs. Texas (90). Both states with lots of > obesity and similar weather. > > -----Original Message----- > From: Friam <friam-boun...@redfish.com> On Behalf Of u?l? ?>$ > Sent: Wednesday, August 11, 2021 10:52 AM > To: friam@redfish.com > Subject: Re: [FRIAM] off-label technologies, exaptatiion and exponential > technological growth. > > 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-breakthroug >>> h >>> - 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/ - .... . -..-. . -. -.. -..-. .. ... -..-. .... . .-. . 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/
