>From Wayne Young:

>
>
> http://ftp.iza.org/dp13670.pdf
>
>
>
> - This study was put out by the “*IZA Institute of Labor Economics*”.  Why
> are they delving into into a *public health issue*?
>
>
>
> - This study was done by *economists not** public health experts or
> infection disease experts*.
>
>
>
> - This study was “Initiated by Deutsche Post Foundation”.    Deutsche
> Post aka. DHL is one of the largest package delivery companies in the world.
> I wondered “why would a big packaging company have an interest in COVID
> issues”.  I did some research and as it turns out one of DHL’s divisions
> last year made some significant investments into *pharmaceuticals*.
>
>
>
> - The motorcycle rally ended on August 16, 2020.  It took the authors of
> this report *less than a month* to release this complicated, data
> extensive study.  How is this possible?
>
>
>
> - There does appear to be increase in COVID cases in South Dakota after
> the motorcycle rally; however, this could be explained at least in part by
> August being one of South Dakota’s *busiest tourist months*.
>
>
>
> - A lot of this study is based on cell phone “ping” data they got from a
> company named “SafeGraph Inc.” to be able to tell where people at the rally
> came from and where they went back to.  From this they can determine if
> there were COVID spikes where these people went back to.  I don’t
> understand this, given that *cell phone data is not public information*
> and you would typically need law enforcement help to acquire this
> information (*need a warrant*?).  Sounds like of “Big Brother” to me.
>
>
>
>
> - This study is so *convoluted and complicated* only an economist can
> understand *or dispute it*.  I’m and engineer and I can’t understand the
> equations they used.  Maybe CHD knows an economist who could wade through
> this.
>
>
>
> - I think that if this study is proven to be a fraud the state of South
> Dakota, the organizers of the motorcycle rally, the city of Sturgis, the
> county  would have grounds to *sue for libel* given that a decrease in
> attendance because of this study could potentially result in the *loss of
> millions of dollars* in state and local revenue.
>
>
>
>
>
>
>
>
---

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