OT: Coronavirus statistics: what can we trust and what shoul

T

Tom Gardner

Guest
Article is written by two heavyweights: Sylvia Richardson,
director, MRC Biostatistics Unit, president elect of the
Royal Statistical Society; David Spiegelhalter[1], chairman,
Winton Centre for Risk and Evidence Communication

"The past few weeks has seen an unstoppable epidemic … of
statistics. The flood threatens to overwhelm us all, but
what do all these numbers mean? Here are eight statistics
you may see, with some warnings about how much we might
trust them."

https://www.theguardian.com/world/2020/apr/12/coronavirus-statistics-what-can-we-trust-and-what-should-we-ignore

Currently I like
http://nrg.cs.ucl.ac.uk/mjh/covid19/
because it
- presents the information in lots of different ways
- defines what is shown and why, with comments
- subsets the information where helpful
- is pleasantly self-deprecating, a forgotten virtue
- doesn't have an agenda

Or, slicker but slower
https://ourworldindata.org/grapher/daily-covid-cases-3-day-average?yScale=log

[1] I'm a fan of Spiegelhalter and his popularisation of
"micromorts" :)
 

Welcome to EDABoard.com

Sponsor

Back
Top