Thanks for that last link, it was an interesting update on the effectiveness of psychiatry. I was weighting my knowledge of the prevalence of rotten corpses in psychology into my estimate of the effectiveness of psychiatric methods, which now seems to be conflating two very different things. Although it does still seem that the set of psychiatrists who are capable of ignoring the prevalent rotten corpses in psychology when prescribing drugs is still small enough to tip the field toward doing your own analyses. I guess i don't have a good set of heuristics for comparing the effects of personal bias v the effects of a psychiatrist trained in psychology and prone to that field's biases.
Yes, my example was loaded. The thought experiment was 'weird, unrecognized by the system outlier, of personal interest to the reader,' and whether/in-what-circumstances it should influence the reader to try the drug. If one of those circumstances is 'pharma doesn't try to make their drug look effective as a nootropic,' i feel it sums my perspective a bit better than 'pharma doesn't try to make their drug look effective for at least some people, within the set of markets they've established as worth aiming marketing toward during a given time period.'
Imagine reading about the following result buried in a prestigious journal:
Now, personally, reading this I would be completely uninterested in the normal result and fascinated by the one, crazy, outlier. Living to the age of 110 is abnormal enough that within 6,666 people selected as a statistical representation of the population, it is extremely unlikely that anyone would live that long, much less continue performing at the apparent health of an 80 year old.
How small would the sample size have to be before you would consider trying the drug yourself, just to see if you, too, lived forever as long as you took it? What adverse effects and hassles would you go through to try it? Would these factors interact to influence your decision (Mild headaches and a pill 4x/day in exchange for maybe apparent eternal life? Sign me up!)
This example is an oversimplification to make a point- often in clinical trials there are odd outliers in the results. Patients who went into full remission, or had a full recovery, or were cured of schizophrenia completely.
In the example above, if the sample size had been 10 people, 9 of whom had no adverse effects and one who lived forever, I would take it. I have been known to try nootropics with little or no proven effect, because there are outliers in their samples who have claimed tremendously helpful effects and few people with adverse effects, and i want to see if I get lucky. I think that if even the right placebo could cause changes which improve my effectiveness, it would be worth a shot.
As far as I know, psychiatrists cannot reliably predict that a given drug will improve a patient's long-term diagnosis, and psychiatrists/psychologists cannot even reliably agree on what condition a patient is manifesting. Mental disorders appear to resist diagnosis and solution, unlike, say, a broken leg or a sucking chest wound. I have learned that Cognitive Behavioral Therapy (CBT) has consistent results against a number of disorders, so I have endeavored to learn and apply CBT to my own life without a psychologist or psychiatrist. It has proven extremely effective and worthwhile.
Here is the topic for discussion: should we trust psychiatric analysis using frequentist statistics and ignore the outliers, or should we individually analyze psychiatric studies to see if they contain outliers who show symptoms which we personally desire? Should we act differently when seeking nootropics to improve performance than we do when seeking medication for crippling OCD? Should we trust our psychiatrists, who are probably not very statistically savvy and probably don't read the cases of the outliers?
Where are the holes in my logic, which suggests that psychiatrists who think like medical doctors/general practitioners have a completely incorrect perspective (the law of averages) for finding and testing potential solutions for the extremely personalized medicinal field of psychotherapy/psychiatry (in which everyone is, actually, an extremely unique snowflake.).
This is more of a thought-provoking prompt than a well-researched post, so please excuse any apparent assertions in the above, all of which is provided for the sake of argument and arises from anecdata.