Artur and Marian discuss how listening to what your data is trying to tell you can bring you closer to reality. They dissect the first published peer-reviewed Covid-19 global spread model (authored by Marian et al. back in March 2020) as an example of how different factors affect the approach to data analysis and drawing conclusions.

On the way, they discuss if it’s possible to open more emails than you receive, if pregnancy tests can be used as Covid-19 tests, and what mindset is required for an objective approach to analysis results. They discuss some controversial practices from several industries as examples of data manipulation (conscious or not) and how to avoid the most obvious pitfalls to achieve meaningful and practical results.

To read more about the Covid-19 global spread model by Marian Siwiak, Malena Siwiak, and Pawel Szczesny, you can find it here.

Video version of this episode is available on YouTube.

If you’d like to contact us with comments, suggestions, or complaints, email us at podcast@cognition.llc

Enjoy!