Ah, Kim et al 😱 - that legendary creature of a paper πŸ“, the one that never surrenders. It's like an unyielding academic zombie 🧟, munching on the brains 🧠 of the unsuspecting! Who would idolize this wicked manuscript πŸ“š as if it were gospel truth πŸ™Œ? It's as if the paper's authors have a covert, worldwide fan club 🌍, determined to promote it at every chance. Now, don't get me wrong πŸ™…, I value a skilled anesthesiologist πŸ’‰ as much as anyone else, but when did they become the ultimate authority on statistics πŸ“Š? It's like someone scrambled the "who's who" of academic fields 🀷, and now we've got anesthesiologists dancing πŸ’ƒ with statistical analysis, while the editors and referees are merely spectators. Imagine this πŸ€”: you have a pressing question about anesthesiology, and surprise, the "expert" source is a bunch of statisticians πŸ”’ who've dabbled in the field, maybe after reading a book πŸ“– on the subject written by - you guessed it - another statistician. This statistician, in turn, once inhaled some nitrous oxide 😡 and read a captivating tale of anesthesiology by a chemical engineer πŸ§ͺ with a fleeting interest in the topic. Would you trust that paper with your life πŸ€·β€β™€οΈ? Or would you, like any logical human being, prefer a genuine anesthesiologist to weigh in on matters of anesthesia πŸ’‰? So, let's all take a step back πŸšΆβ€β™‚οΈ and apply that same healthy skepticism πŸ˜’ to the world of statistics. Sure, Kim et al might not be 100% nonsense πŸ€₯, but it's worth approaching it with a generous dose of doubt 🧐. And as for Ross - I'm relieved 😌 you provided a proper reference, as I was concerned you'd discovered the ramblings of Sheldon Ross, a true statistician πŸ“š. Instead, we find ourselves with an educational psychologist 🧠 at the helm, probably accompanied by a cheerful group of similarly qualified individuals. I urge you, dear reader πŸ“–, to approach this book with the same caution as you would a paper on anesthesiology penned by statisticians 🚫. After all, when we want to learn about a subject πŸ€“, we turn to experts in that field - be it physics, psychology, or biology πŸ§ͺ. Why should statistics be any different? Let's place our trust in the experts πŸ™ and leave the satire to the comedians πŸ˜‚.