[FRIAM] From NiCAR on Data Literacy

[Tom Johnson]

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 - tom at jtjohnson.com
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>*

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On Thu, Aug 13, 2020 at 3:55 PM Jonathan Blum <blum at blumsday.com> 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
> blum at blumsday.com | o: +1.914.509.2348 | c: +1.917.363.9181
> www.thetrustedface.com
>
>
>
>
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