I read the following article about statistical independence. In summary, the article argues that "It is time for science to retire the fiction of statistical independence," and goes on to explain different reasons why. Having read the article, I tend to agree. I wanted to know the following:
- What do other cross-validated users think?
- Are there scholarly resources that you all can point me to that either confirm or reject the notion set forth by the article? More specifically, whether real-life datasets do (or do not) exhibit statistical independence?