Again, BigE, true scientists do not approach difficult problems in this way. It’s unprofessional to dismiss a problem because of the level of difficulty. If anything, the true scientist – someone who is really open and does not have an agenda – will redouble his efforts when faced with low success rates. He will not necessarily assume that a high success rate is, by contrast, possible, but it will be important to him to examine why the success rate of a particular treatment is low. He will examine all the elements of treatment, to determine if maybe the approach is what is causing high failure rate, rather than merely the attempt to address the condition in the first place. And he will do that (investigate all the variables of an approach) before making a tentative determination that it’s “a lost cause.” Generally, an unbiased scientific analysis will determine that a particular condition is largely untreatable with the contemporary methods that are being, have been, applied. Rarely will science say definitively, “such-and-such is untreatable because of a low success rate.” Rather, a neutral scientist will say, “Hmmm: I wonder what led to these cases being successful, as exceptions to the rule. Let’s examine what variables there were in (a) patient history, (b) patient receptivity, (c) skill and/or creativity of therapist, (d) other factors.” The scientist will not be focusing on the failures. He will be focusing on what made the successes succeed vs. what made the failures fail.
Depression used to be treated with electroshock in the mid-twentieth-century. That at-the-time conventional approach had a poor long-term success rate. No psychologist with any ethical code whatsoever would have concluded that “depression is untreatable.” Today, psychologists do not think that “depression is untreatable [because previous approaches had a low success rate].” Those are not the words of a scientist; those are the words of a politician.
Rather, psychologists have persisted in investigating more successful treatments for depression by examining what did not work and concentrating on what works at least better than previous methods.