I’m lucky because I’m a purely computational biologist; can’t poison myself or blow anything up even if something goes super wrong with what I’m doing! So I don’t know if I have an example of an experiment going really wrong in the way you’re probably thinking. But even in this line of work we have to be pretty careful and double check everything because our results/results from the software we write are sometimes used to make important decisions, or even just used to inform work other people are going to do. If there’s a major mistake in there that causes incorrect results it could lead to a lot of wasted effort and materials, or worst case scenario, to a wrong or late diagnosis of a patient.
Experiments are bound to give outcomes that you don’t expect. So, every experiment may have two (or sometimes multiple) outcomes. The beauty of science is being unpredictable.
However, we always check why it went wrong and try to understand how to fix it if it needs to.
I would also add that sometimes an experiment going wrong could actually lead to an exciting discovery, maybe you make a new compound that you didn’t expect that has some interesting properties or discover that a drug you were testing has an unintended side effect that is actually of benefit to people. Always keep an open mind.
Comments