The real big issue is the high uncertainty interval of these models that is the core of the problems of these models.
Let me give you one simple example to show how important the uncertainty is in science. Supposed you did a science project that needs you to measure a length of an object. You got the result 7 ft with standard error of +/- 3 ft. So, the uncertainly in your measurement is a 6 ft range (from 4 ft to 10 ft). Your uncertainty in this instance is so high that it can be comparable to and even close to your result 7 ft. From this high uncertainly I can tell your science project is a garbage. You should always suspect those scientific results with high uncertainly/high error bar.
This is why your first general physics lab in your high school and college, using Vernier caliper, balance...etc., to do some measurements, very simple though, actually is very important. You use tools to measure, calculate standard errors and do uncertainty analysis. All these are very fundamental in science.