Statistically feeling bad

ping @kristof_gyodi, this thread could be relevant to the data resources and visualisations you are creating/making available as well as the development of a webinar on how to analyse/understand data

In collaboration with DeLab we are preparing a webinar about how to read and interpret data:

Are you interested? Please share in your networks!

Here a reminder for today’s call on how to read and interpret and question data sets and scietists:

3rd of June, 5PM CEST.

How to join:

Follow this link to sign up:

https://zmurl.com/ngicovid

We will record this webinar for research purposes. You can find more information here: Edgeryders Calls and Webinars? - PARTICIPANT INFORMATION SHEET

Also just found this live podcast on warm data which seems relavant. Happening at the same time, but they have a replay the next moreing 4th of June 9:00:

https://www.warmdatapodcast.com/?fbclid=IwAR2Xq6cmdcI1a7Ux3E8HUEGGp6-pDTXrYX-k5BNySkZpOQ0PjPi56twD9KA

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I completely agree, @syntheticzero. My own attitude is, as I was writing a few posts up, to try and stay open to more than one potential true state of the world, try to entertain more than one possibility. Because the saving grace is that science is messy when new evidence comes along (SARS-COV-2 is new, and apparently there was not much funding to research coronaviruses before this mess), but eventually it tends to converge. At that point, most serious players will agree on somethings, and then credentials will once again approximate belief. Of course you can never prove a theory, only disprove it; but when a theory has withstood a lot of testing, we can provisionally trust it. Darwin published The origin of species in 1840, and no one has been able to reject its essence. There is probably something there.