I like the statistic... In statistics we always have the error bias. In fact is a fundamental concept for the understanding of nature. If you see this equation: y = b1 + b2 + e is one of the most beautiful one because is sensitive to the error (the e obviously), if we want to explain the data we will have to include the error. Without the error there is no predictions there is no learning, there is no changes and adaptation. If you have a successful task, may be it will be no change, because you did right (and that is great of course), but if you always have that results there no more learning. In science we know for sure that there is no absolute true. We know that the science is perfectible, that the laws are temporary and that the data and analyses can change every paradigm or theory, no matters for how so long it will be stablished it. Because that science characteristics we should love the errors, the errors allow us to change our post of view, the errors permits the change and new and renovated theories, the error make us better scientists. We have to learn how to show this to the students, when we have a failure, we have the opportunity of change the mind of one person, for good, or for the worse... If we are sensitive to this, we can build a resilient scientist, we can built a propositive and ethical person. And I think that we ned many of this.