Jason

“The influence of the biased selection is not on the believability of H but rather on the capability of the test to have unearthed errors. The error probing capability of the testing procedure is being diminished. If you engage in cherry picking, you are not “sincerely trying,” as Popper puts it, to find flaws with claims, but instead you are finding evidence in favor of a well-fitting hypothesis that you deliberately construct – barred only if your intuitions say it’s unbelievable. The job that was supposed to be accomplished by an account of statistics now has to be performed by you. Yet you are the one most likely to follow your preconceived opinions, biases, and pet theories.”
― Deborah G Mayo, Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars

“He who knows only his own side of the case knows little of that. His reasons may be good, and no one may have been able to refute them. But if he is equally unable to refute the reasons on the opposite side, if he does not so much as know what they are, he has no ground for preferring either opinion... Nor is it enough that he should hear the opinions of adversaries from his own teachers, presented as they state them, and accompanied by what they offer as refutations. He must be able to hear them from persons who actually believe them...he must know them in their most plausible and persuasive form.”
― John Stuart Mill, On Liberty

“In 2016, the Georgia Institute of Technology published a study on human trust in robots that employed a non-anthropomorphic robot to assist participants in navigating through a building, providing directions such as “This way to the exit.” First, participants interacted with the robot in a normal setting to experience its performance, which was deliberately poor. Then, they had to decide whether or not to follow the robot’s commands in a simulated emergency. In the latter situation, all twenty-six participants obeyed the robot’s directional advice, despite having observed just moments before that it had lousy navigational skills. The degree of trust they placed in this machine was striking: when the robot pointed to a dark room with no clear exit, the majority of people obeyed it, rather than safely exiting by the door through which they had entered. The researchers conducted similar experiments with other robots that seemed to malfunction. Again, subjects followed these robots’ emergency directions, apparently abandoning their common sense. It seems that robots can naturally hack our trust.”
― Bruce Schneier, A Hacker's Mind: How the Powerful Bend Society's Rules, and How to Bend them Back