“This (...) had made me aware for the first time of the well-disguised ...” — Jack Kevorkian Quote

“This (...) had made me aware for the first time of the well-disguised myth that they and the academic institutions they represent are bastions of a free exchange of ideas. They are -but only of those ideas that don't 'rock the boat', that refrain from challenging hallowed taboos.”

“I'm for absolute autonomy of the individual, and an adult, competent woman has absolute autonomy. It's her choice.”

“This could never be a crime in any society which deems himself enlightened.”

“As a medical doctor, it is my duty to evaluate the situation with as much data as I can gather and as much expertise as I have and as much experience as I have to determine whether or not the wish of the patient is medically justified.”

“She made the decision that her existence had lost its meaning. And you cannot judge that.”

“I'm trying to knock the medical profession into accepting its responsibilities, and those responsibilities include assisting their patients with death.”

“New generations grew to maturity wholly ignorant of the sky that had transfixed their ancestors and that had stimulated the modern age of science and technology.”

“If God is the mystery of the universe, these mysteries, we're tackling these mysteries one by one. If you're going to stay religious at the end of the conversation, God has to mean more to you than just where science has yet to tread.”

“In the statistical gargon used in psychology, p refers to the probability that the difference you see between two groups (of introverts and extroverts, say, or males and females) could have occurred by chance. As a general rule, psychologists report a difference between two groups as 'significant' if the probability that it could have occurred by chance is 1 in 20, or less. The possibility of getting significant results by chance is a problem in any area of research, but it's particularly acute for sex differences research. Supppose, for example, you're a neuroscientist interested in what parts of the brain are involved in mind reading. You get fifteen participants into a scanner and ask them to guess the emotion of people in photographs. Since you have both males and females in your group, you rin a quick check to ensure that the two groups' brains respond in the same way. They do. What do you do next? Most likely, you publish your results without mentioning gender at all in your report (except to note the number of male and female participants). What you don't do is publish your findings with the title "No Sex Differences in Neural Circuitry Involved in Understanding Others' Minds." This is perfectly reasonable. After all, you weren't looking for gender difference and there were only small numbers of each sex in your study. But remember that even if males and females, overall, respond the same way on a task, five percent of studies investigating this question will throw up a "significant" difference between the sexes by chance. As Hines has explained, sex is "easily assessed, routinely evaluated, and not always reported. Because it is more interesting to find a difference than to find no difference, the 19 failures to observe a difference between men and women go unreported, whereas the 1 in 20 finding of a difference is likely to be published." This contributes to the so-called file-drawer phenomenon, whereby studies that do find sex differences get published, but those that don't languish unpublished and unseen in a researcher's file drawer.”