First study effect of bluetooth on Corona virus !

[Jeff Liebermann]

On Wed, 15 Apr 2020 13:14:48 +0200, David Brown
<david.brown@hesbynett.no> wrote:

On 14/04/2020 23:24, Jeff Liebermann wrote:
On Tue, 14 Apr 2020 13:09:54 -0700 (PDT), omnilobe@gmail.com wrote:

The virus is transmitted by jet aircraft. Then, rich people
carry the virus off the first class section by means of $100
dollar bills. It is the rich man's disease. New York City
is a rich city, so they go first.

I dunno about jet aircraft, but COVID-19 does seem to be a rich
persons disease. Confirmed cases versus income:
https://ourworldindata.org/grapher/covid-cases-income
Sure looks like mostly the rich are being infected, while the poor
seem to be immune. However, it also seems like this is more a case of
mislabeled graph legend labels, than a conspiracy by the poor to take
over what's left of the world from the rich.

I wonder if that data is relative to the country? The virus is more
established in richer western countries - viewed on an absolute global
scale, just about everyone in Italy or the UK is "high income" compared
to the majority of Africans or Asians.

Still, it is an interesting distribution. Is it because richer people
travel more? People in cities are generally richer than those in rural
areas? Poorer people are better at obeying rules and following advice
such as social distancing, while richer people are more likely to insist
that /they/ know best or that rules don't apply to them?

Argh. So much for my warped idea of a bad joke. I mentioned that:
"However, it also seems like this is more a case of
mislabeled graph legend labels..."
That seems to be what happened. If you exchange the "High Income" and
"Upper Middle Income" labels, the graphs would make more sense. The
preponderance of cases in the "high income" category fit so nicely
with the comment by omnilobe@gmail.com that the rich are spreading the
virus, that I couldn't resist pointing to a graph which I knew was
erroneous.

I also sent similar comments to a mailing list, which also had a fair
number of people that took the mislabeled graph at face value.
Apparently, everyone (including me) are accepting such artistic and
sometime animated graphs as the absolute truth, even when they don't
bother defining the units (dollars, pounds, yen, etc), mangle the
titles, show no sources, supply little in the way of raw data, and
fail to explain what the graphs actually demonstrates. So, I had to
do a bit of digging on the source data and the site owners.

This is the best I could do for where the site got its data:
<https://ourworldindata.org/coronavirus>
<https://ourworldindata.org/coronavirus-data>
<https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide>

They list CDC, WHO, and JHU as their "sources":
<https://ourworldindata.org/grapher/covid-cases-by-source>
My best guess(tm) is they're graphing ECDC data:
<https://www.ecdc.europa.eu/en/covid-19/data-collection>

The income classifications were taken from the World Bank:
<https://blogs.worldbank.org/opendata/new-country-classifications-income-level-2019-2020>
where everyone making over $12,000/year is considered "high income".

At the bottom of each ourworldindata.org web page is a list of other
graphs they have created, all with similar problems to the
aforementioned. Until they clean up their mess, I'm tempted to ignore
the site, but can't because nobody else is bothering to graph the
voluminous CDC data.


--
Jeff Liebermann jeffl@cruzio.com
150 Felker St #D http://www.LearnByDestroying.com
Santa Cruz CA 95060 http://802.11junk.com
Skype: JeffLiebermann AE6KS 831-336-2558