I have my theories about math in general. We are taught so much about certainties in algebra, trigonometry, and geometry that we are robbed of the "what if" fun stuff that we use everyday. I always argued that if students were taught applications of mathematical concepts like risk and probabilities we would all be better for it.
But if we imagine uncertainty this reflects a larger scale where we can't possibly know every potential alternative or consequence we have to make estimates and rely on heuristics.
In a world of risk (small world), all relevant alternatives, their probabilities, and their consequences are known for sure and the future is certain. In contrast, in a world of uncertainty (large world) part of the information is unknown or has to be estimated from small samples, and surprises can happen.
The second distinction we introduced is between what decisions people make (the outcome) and how they make them (the process). Answering the first question leads to as-if models; answering both questions leads to process models. We argue that the two distinctions are correlated: As-if models tend to match small world studies, whereas process models tend to match large world studies.--Volz and Gigerenzer, Cognitive Processes in Decisions Under Risk are not the Same as in Decisions Under Uncertainty
Striving for improved data literacy continues to be an important goal within our healthcare ecosystem. How are you tackling the problem?
Medicine is a science of uncertainty and an art of probability--William Osler, Canadian physician and one of the four founding professors of Johns Hopkins Hospital