Thanks for the nice note, Jonathan. I will post this to some of my more knowledgeable, statistically orientated colleagues and see what they might have to say. Tom
============================================ Tom Johnson - [email protected] Institute for Analytic Journalism -- Santa Fe, NM USA 505.577.6482(c) 505.473.9646(h) *NM Foundation for Open Government* <http://nmfog.org> *Check out It's The People's Data <https://www.facebook.com/pages/Its-The-Peoples-Data/1599854626919671>* ============================================ On Thu, Aug 13, 2020 at 3:55 PM Jonathan Blum <[email protected]> wrote: > hey tom, > > I enjoyed your comment on data literacy among journalists. One my stats > nerds in my little AI shop actually put in his own time and effort to build > a more flexible framework for analyzing covid cases. > > He got it published on Yales' Pre-Print service: > https://www.medrxiv.org/content/10.1101/2020.05.27.20110478v1.article-info > > He promptly got a wave of nastigrams. I posted it on the NiCAR listserve > to help out. Only good old Stephen Doig responded. He thought it was > interesting. But he could offer no tangible advice on how to publish it or > further its cause. Would it be something you and your group might be > interested in? It's based on VERY simple statistical assumptions that I can > clearly explain. > > Clearly it should help any public health official or administrator to make > better choices on managing a pandemic. It's a lovely idea. > > Thoughts? > > --jb > > -- > Jonathan Blum > AuthentiKa LLC > [email protected] | o: +1.914.509.2348 | c: +1.917.363.9181 > www.thetrustedface.com > > > >
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