Learnings from the COVID crisis for statisticians

Hardly any tables out there, but lots of visualizations both interactive and explanatory - still most of our day-to-day jobs are providing tables

Get the data from many different sources - not just the one source at hand: e.g. the study currently working on; RWE, literature data, and other studies

Many misunderstandings on the sources of the data and comparisons across different sources (e.g. different countries) and then infer on the differences between the policy making in the different countries - where are the statisticians in the news explaining the numbers?

We need more leadership
Our associations need to step up and become more professional and impactful
We have a responsibility here

Responsibility for providing the numbers but also gives the background and advise on how to use the numbers - for example John Hopkins

FAQ not really helpful
What can be answered here and what not
How reliable is the data?
What are the strength and limitations?
Any guidance on the use of the data?

Do we train people on how to read our data? Or do we just through the tables over the fence for someone else to deal with it?

Power of scenario simulations - Washington Post article - great to show conditional probabilities e.g. if you have different prior information in Bayesian analyses