I used to lead a team at a Fortune 100 company that created thought leadership reports for our clients. So that required me to provide oversight and input to the research and analytics teams who would design, conduct and analyze primary research in the field that would inform our reports. Evaluating raw data is a very precise exercise that requires incredible levels of rigor. Every tom dick and harry thinks they can come in, look at a data table and start spouting off so-whats. That is not how effective data analysis works. Even after years of working with that data I knew that every conclusion we drew needed to be triple checked with the data engineers to make sure we were not misconstruing the conclusions. It gave me a lot of respect for the people who do that work. And it gave me a healthy dose of caution for leaping to presumed conclusions on flimsy data. I see a lot of that in this topic when those same 50 international studies with conflicting standards, scope, subjects, objectives are regurgitated again and again into some frankenstein conclusion that our water standards are unsafe. Its really bad science.