The late historian Daniel Boorstin once said, “The greatest obstacle to discovery is not ignorance - it is the illusion of knowledge.” This quote is sometimes shortened or changed and used by others.
At the Oregon Health Sciences University (OHSU) in Portland they have carved a shorter version into a waist-high stone wall. When I saw it two weeks ago for the first time, I thought of System Dynamics. For me using dynamic modeling, where I have to search for the equations and data in the literature to build a model, means I’m discovering how feedback loops work in the real world. When I’m under the illusion that I know how a system works I’m quickly embarrassed when I try to predict an outcome and something else happens. Then I’m back to discovery again when I add another feedback loop to my model to make it more useful but never able to predict with 100% accuracy. How useful is dynamic modeling for prediction?
Starting in about 1958 my parents had a little metal thing hanging on the wall that said, “It’s what you learn after you know it all that counts.” Anonymous