Too many members of the baseball media spout silly cliches that have been rejected by systematic empirical studies; that's why people writing in the early 90s in rec.sport.bb dubbed them "mediots". Moneyball had an impact, but the non-thinking, non-analytical folks still have far too much influence.
It would really be something if mediots all took this course [ht JH]:
Sabermetrics 101: Introduction to Baseball Analytics
About this Course
This course will cover the theory and the fundamentals of the emerging science of Sabermetrics. We will discuss the game of baseball, not through consensus or a fan’s conventional wisdom, but by searching for objective knowledge in hitting, pitching, and fielding performance. These and other areas of sabermetrics will be analyzed and better understood with current and historical baseball data.
The course also serves as applied introduction to the basics of data science, a growing field of scholarship, that requires skills in computation, statistics, and communicating results of analyses. Using baseball data, the basics of statistical regression, the R Language, and SQL will be covered.
This course has been successfully taught at the Experimental College at Tufts University since 2004. Many of its former students have gone on to careers writing about baseball and working in various MLB baseball operations and analytics departments.
Geez, I might even take it myself!