And making your Doctor with emphasis on data science, has nothing todo with understanding simple data like covid-cases right?
BTW Earth science has probably more todo with data than anything else.
There’s a rationale around what is, and is not, included in case definitions and included in dashboards. It’s likely that these decisions are made by epidemiologists with not only specific training, but also access to much more data than the person who builds the dashboards.
Making a decision to include data in a visualization without understanding why is not a good idea because it’s common that people think they know what numbers mean, but only because they have limited visibility.
Having a degree in data science doesn’t mean that I’m a data scientist. If I’m hired in a web dev role, then I hope my input is received well and considered by epidemiologists in charge. And I hope they’d be able to spend time explaining the rationale behind their decisions.
This seems like a similar analogy where the build engineer decides to change the git repo because they know better than the dev team. Then someone reading the article says “well they have a PhD in computer science so they should know what they’re doing, it’s simple.”
Credentialism: belief in or reliance on academic or other formal qualifications as the best measure of a person's intelligence or ability to do a particular job
>making your Doctor with emphasis on data science, has nothing todo with understanding simple data like covid-cases right?