Earlier quoted context omitted.
Their infographics convince me that they understand the statistics. But one of the key issues here is that the statistics are radically counterintuitive in a way that most people don't understand - the patients, the testing companies, and even some medical staff all incorrectly believe that a positive test for a rare condition means you probably have the condition.
Their graphics say the tests are “84% wrong.” Do you really feel that’s an accurate description? That doesn’t feel like an accurate description to me, and their usage of “wrong” in this context highlights that they don’t understand the distinction and importance of true positives, false positives, true negatives, and false negatives when measuring accuracy.
84% wrong sounds, to me, as an accurate description. Experiencing this from the inside out, only the false/true positive ratio matters. (Given sufficiently low false negative rates, of course)
84% of people whose world is turned upside down are actually getting a wrong diagnosis.