Proximity to children is the main trigger
by Michael Castleman
psychologytoday
From media reports, one might infer that Catholic priests commit most pedophilia. In fact, only a tiny fraction of child sex abusers are priests.
We know who the pedophiles are from the National Sexual Health Survey (NSHS), a large, comprehensive study of American sexuality based on in-depth interviews in 1996 with a representative sample of 8,400 Americans, age 18 to 88. Although the data are 14 years old, sexual behavior rarely changes quickly, so this survey can be considered reasonably current. The NSHS asked about sexual abuse: Have you ever felt forced or frightened into having sex?
Seven percent of respondents reported such feelings, 15 percent of the women, and 3 percent of the men. These figures agree with previous surveys.
Victims were asked at what age(s) they were molested. Abuse spanned all ages from 3 to 17, but victims were most likely to be 6 to 10, or 14 to 17. Teens accounted for 49 percent of victims, 6 to 10 year olds, 34 percent.
Ninety-five percent of the abusers were men.
Abusers’ ages ranged from 10 to 70. But half–48 percent–were in their twenties. Eighteen percent were in their thirties, 15 percent were in their forties, and all other age groups accounted for 19 percent.
Who were the molesters? NSHS categories included: strangers, dates, friends or acquaintances, parents, step-parents, other relatives, and others. Dates, friends, and acquaintances comprised the largest group of assailants (38 percent), followed by non-parent relatives (23 percent), others (15 percent), strangers (10 percent), parents (6 percent), and step-parents (4 percent).
Victims under 12 were typically abused by caregivers: parents, step-parents, other relatives, babysitters, or camp or recreational-program staff. Teens were generally abused by friends or acquaintances.
Under “other,” the NSHS asked: Who? Surprisingly, not one victim mentioned a priest. Most of the abusers in this category were teachers, neighbors, doctors, grandparents, a parent’s friend or coworker, or an adult around the house: a gardener, or repairman.
Not a single priest. I emphasize this not to exculpate pedophile priests, but rather to elucidate the reality of this crime. While celibacy and sexual repression may contribute to Catholic priests’ risk for pedophilia, child sexual exploitation is most often triggered by proximity to children and the opportunity to exercise authority over them. It’s more likely to happen in the child’s home than outside it. The perpetrator is most likely to be someone the child and parents know, for younger children, a caregiver, for teens, a social contact.
I hope the Catholic Church can end priestly child sexual abuse. But the NSHS shows that priest account for only a tiny fraction of this problem. In my humble opinion, parents are too trusting of the adults–particularly young adults–who care for their children.
Now I’m not saying parents should quarantine kids. My children attended preschool, after-school programs, and camps staffed by young adults, and thrived.
But parent should monitor the adults, especially the young adults, who supervise their children. Don’t assume your kids are safe simply because they’re home. Teach your children the difference between welcome touch and frightening touch. Teach them to report the latter promptly. Don’t assume your teens are safe simply because they’re out with friends. Encourage them to tell you if they ever feel sexually threatened.
The problem of child sexual abuse is much larger than bad apples in the priesthood. As the NSHS clearly shows, we’re dealing with bad apples potentially anywhere.
Myth: Gay men have more sexual interest in children than straight men do
by Alice Dreger
psychologytoday
I thought about holding off on this post until the next time somebody in the news declares that gay men are to blame for the sexual abuse of children. I’d probably only have to wait a couple of weeks at most. But I’ve decided to go ahead and put this research notice out there, so that hopefully the next time this issue comes up, the rational folks talking about it have the data they need to back up their hunches.
So, at the outset, let me give away the answer to my headline question: Do gay men have more sexual interest in children than straight men do? No. And we have lab studies to prove it.
In fact, the British Journal of Psychiatry published a major study backing up the “no” answer almost 40 years ago. The distinguished sex researcher Kurt Freund and his colleagues used a laboratory method (described below) that demonstrated that the sexual responses of gay men to boys were similar to the responses of straight men to girls. (Both responses are relatively low.) This past June in Canada, at the major international research conference on sexual orientation science, sex researcher Ray Blanchard (who was trained under Freund) presented substantial new data confirming and expanding on Freund’s findings.
Blanchard has published this work online, making the work freely available to all comers. Click here to see the full paper. But, because this work is so important (the scientists assembled in Canada were stunned into near silence when they saw the impressive datasets and theoretical work Blanchard put before us), I asked Blanchard to explain the work somewhat more plainly for those who are not scientists. He’s been kind enough to do so for us here.
Blanchard explains first the laboratory method used:
“This dataset included measures taken with the same laboratory method used by Freund et al., namely, phallometric testing. Phallometric testing (sometimes called penile plethysmography) is an objective technique for assessing erotic interests in men. In phallometric tests for gender and age orientation, the individual’s penile blood volume is monitored while he is presented with a standardized sequence of laboratory stimuli depicting male and female children and adults. Increases in the patient’s penile blood volume (i.e., degrees of penile erection) are used as the measure of his attraction to different classes of persons.”
In other words, sex researchers studying these men strap a device over the subjects’ penises to measure how swollen or flaccid their penises become in response to various kinds of pictures and audiotapes. The idea is that, the more erect the penis, the more the man has been stimulated by the particular sexual material being presented to him. Blanchard further describes the subject population of his recent study:
“The subjects were 2,278 male patients referred to a specialty clinic for phallometric assessment of their erotic preferences. All underwent the same test, which measured their penile responses to six classes of stimuli: prepubescent girls, pubescent girls, adult women, prepubescent boys, pubescent boys, and adult men. The stimuli were not, of course, live persons, but rather audiotaped narratives describing sexual interactions with prepubescent girls, pubescent girls, and so on. These narratives were accompanied by slides showing nude models who corresponded in age and gender to the topic of the narrative. The slides did not show the models doing anything sexual or even suggestive but rather resembled photographic illustrations of physical maturation in a medical textbook.”
Some laboratories doing phallometric tests use a “strain gauge,” which is just what it sounds like: a sensitive wire strapped around a penis to measure how swollen a subject’s penis gets in circumference in response to various stimuli presented to the subject. But Freund’s and Blanchard’s groups used a more precise type of measurement, a kind of bell jar that goes over the whole penis and allows the researchers to detect even small changes in penile volume. Blanchard explains:
“Penile responses were recorded as cubic centimeters (cc) of increase in penile blood volume from the time a stimulus trial started to the time it ended. (A stimulus trial was one audiotaped narrative plus slides.) A full erection, as measured by the equipment used to collect these data, would typically correspond to an increase in penile blood volume of 20-30 cc. However, most subjects responded much less than that.”
So what the researchers were looking at was relative stimulation to different kinds of sexual materials, some suggesting sexual encounters with prepubescent girls or boys (usually about aged 10 and younger, and of sexual interest to pedophiles), some suggesting sexual encounters with pubescent girls or boys (generally aged 11-14, and of sexual interest to the group termed “hebephiles”), and some suggesting sexual encounters with sexually mature men and women (of interest to the people researchers call “teleiophiles,” and what the rest of us tend to call “normal,” i.e., “straight men and women,” “gay men,” or “lesbian women”).
In Blanchard’s work, the subjects were assigned to one of six groups according to their highest response on the phallometric test: (1) men who responded more to adult women than to any of the other five stimulus categories were classified as heterosexual teleiophiles; (2) men who responded more to adult men than to any other stimulus category were classified as homosexual teleiophiles; (3) men who responded more to pubescent girls than to any of the other categories were classified as heterosexual hebephiles; (4) men who responded most to pubescent boys, were classified as homosexual hebephiles; (5) men who responded most to prepubescent girls were classified as heterosexual pedophiles; (6) and men who responded most to prepubescent boys were classified as homosexual pedophiles.
So what did the numbers in each category look like? First, keep in mind that this is not a random sample of the population walking around cities; this is a sample of men who were specifically referred for testing, typically because they were suspected of a crime or sought therapeutic help. Among that group, “the procedure of classifying subjects according to their highest penile response produced 1,066 heterosexual teleiophiles, 761 heterosexual hebephiles, 159 heterosexual pedophiles, 110 homosexual pedophiles, 86 homosexual hebephiles, and 96 homosexual teleiophiles.”
In order to repeat Freund’s comparisons for this post, Blanchard graphed the relevant information from the dataset as shown in the accompanying figure. He notes, “This figure shows the mean (average) response of each group to each stimulus category. So that statistically inclined readers can make some comparisons besides those I will explicitly discuss, I have included the 95% confidence interval for each mean. These are represented by the vertical lines bracketing the top of each bar. Two means are significantly different if their confidence intervals do not overlap. The converse, however, is not true, and the significance of the difference between means with overlapping confidence intervals must be tested with methods other than visual inspection.”

So what does this pretty picture mean?
Blanchard explains: “The key comparisons produced results similar to those of Freund et al. They show that gay men (homosexual teleiophiles) and straight men (heterosexual teleiophiles) have similar penile responses to depictions of children in the laboratory,” that is to say, relatively low. But more important than their being relatively low, they’re not really any different for gay and straight men.
Furthermore, “The responses of heterosexual teleiophiles to prepubescent girls were similar to the responses of homosexual teleiophiles to prepubescent boys (gold bar in top left panel vs. green bar in top right panel). The difference between these means was not statistically significant. The responses of heterosexual teleiophiles to pubescent girls were actually slightly higher than the responses of homosexual teleiophiles to pubescent boys (orange bar in top left panel vs. blue bar in top right panel). This difference was statistically significant; however, it is most likely trivial, because the heterosexual teleiophiles were generally a little more responsive than the homosexual teleiophiles.” So it doesn’t look like gay men are any more likely than straight men to be attracted to pubescent children.
Finally, “The middle panels and bottoms panels of the figure show that the stimuli depicting pubescent and prepubescent boys and girls worked as they should. The subjects who responded most to those stimulus categories responded as much or more, in absolute terms, as the subjects who responded most to adult men and women.” In other words, we have reason to believe that this testing method is giving us real data when we use it to conclude that gay men are no more likely to be sexually interested in children than straight men are.
One more thing Blanchard asks us to keep in mind: “Although the purpose of this analysis was to counter the notion that gay men present more of a risk to children than do straight men, it was not intended simultaneously to demonize all pedophiles and hebephiles. There are pedophiles and hebephiles who never act on their sexual attraction towards children. They cannot be blamed for what they feel, and they should be supported for the constant self-restraint they must exercise in order to behave ethically.”
Indeed, Blanchard’s work suggests to me that pedophilia and hebephilia look like sexual orientations; in other words, at least for men, sexual orientation is comprised not just of interest in a particular sex, but in a particular age range as well. That doesn’t mean, of course, that adult sexual interactions with prepubescent or pubescent children are morally permissible or should be legally permissible; Blanchard and I both feel that pedophiles and hebephiles have a duty not to act on their sexual urges, because children cannot meaningfully consent to sex with an adult. It is just to say that it makes no sense to persecute someone for an urge on which he does not act.
Logical phallacy
What would Socrates say? All those Greeks were homosexuals. Boy, they must have had some wild parties. I bet they all took a house together in Crete for the summer. A: Socrates is a man. B: All men are mortal. C: All men are Socrates. That means all men are homosexuals.
— Woody Allen, Love and War
Men, sex, and violence
The authors cite a disturbing study in which men endorse war after being primed with a picture of an attractive woman . . . .
West Coast
A young lady blessed with
a most inviting Tit, and dainty, / As ere seen ’twixt twelve and twenty.
— A Chinese Tale (1740)
A man who lives apart
A man who lives apart, not to others but alone, is exposed to obvious psychological dangers. In itself, the practice of deception is not particularly exacting; it is a matter of experience, of professional expertise, it is a facility most of us can acquire. But while a confidence trickster, a play-actor or a gambler can return from his performance to the ranks of his admirers, the secret agent enjoys no such relief. For him, deception is first a matter of self-defense. He must protect himself not only from without but from within, and against the most natural of impulses; though he earn a fortune, his role may forbid him the purchase of a razor, though he be erudite, it can befall him to mumble nothing but banalities; though he be an affectionate husband and father, he must under all circumstances withhold himself from those in whom he should naturally confide.
Aware of the overwhelming temptations which assail a man permanently isolated in his deceit, Leamas resorted to the course which armed him best; even when he was alone, he compelled himself to live with the personality he had assumed. It is said that Balzac on his deathbed enquired anxiously after the health and prosperity of characters he had created. Similarly Leamas, without relinquishing the power of invention, identified himself with what he had invented.
— John Le Carré, The Spy Who Came In from the Cold
Our contemplation of cruelty will not make us humane but cruel
[It is possible to] become assimilated to the literal contents of the art we contemplate [so] that our contemplation of cruelty will not make us humane but cruel; that the reiteration of the badness of our spiritual condition will make us consent to it.
Ha!
It doesn’t have ANY effect on your life. What do you care?! People try to talk about it like it’s a social issue. Like when you see someone stand up on a talk show and say “How am I supposed to explain to my child that two men are getting married?” ….. I dunno, it’s your shitty kid, you fuckin’ tell ’em. Why is that anyone else’s problem? Two guys are in LOVE but they can’t get married because YOU don’t want to talk to your ugly child for fuckin’ five minutes?
— Louis C. K.
The dangers of fast thinking
CONSIDER THIS: A study of the incidence of kidney cancer in the 3,141 counties of the United States reveals a remarkable pattern. The counties in which the incidence of kidney cancer is lowest are mostly rural, sparsely populated, and located in traditionally Republican states in the Midwest, the South, and the West. Now, what do you make of this information?
Your mind has been very active in the last few seconds, and it was mainly operating in what I call System 2 — the “slow” mode of thinking involved in effortful activities such as doing taxes, comparing two washing machines for best value, or driving in traffic. You deliberately searched memory and formulated hypotheses. Some effort was involved; your pupils dilated, and your heart rate increased measurably. But System 1 — the “fast” mode, which includes reacting to loud sounds, understanding simple sentences, and driving on empty roads — was not idle: You probably rejected the idea that Republican politics provide protection against kidney cancer. Very likely, you ended up focusing on the fact that the counties with low incidence of cancer are mostly rural. The statisticians Howard Wainer and Harris Zwerling, from whom I learned this example, commented, “It is both easy and tempting to infer that their low cancer rates are directly due to the clean living of the rural lifestyle — no air pollution, no water pollution, access to fresh food without additives.” This makes perfect sense.
Now consider the counties in which the incidence of kidney cancer is highest. These ailing counties tend to be mostly rural, sparsely populated, and located in traditionally Republican states in the Midwest, the South, and the West. Wainer and Zwerling comment, “It is easy to infer that their high cancer rates might be directly due to the poverty of the rural lifestyle — no access to good medical care, a high-fat diet, and too much alcohol, too much tobacco.” Something is wrong, of course. The rural lifestyle cannot explain both a very high and a very low incidence of kidney cancer.
The key factor is not that the counties were rural or predominantly Republican. It is that rural counties have small populations. And the main lesson to be learned is not about epidemiology, it is about the difficult relationship between our mind and statistics. System 1 is highly adept in one form of thinking — it automatically and effortlessly identifies causal connections between events, sometimes even when the connection is spurious. When told about the high-incidence counties, you immediately assumed that these counties are different from other counties for a reason, that there must be a cause that explains this difference. As we shall see, however, System 1 is inept when faced with “merely statistical” facts, which change the probability of outcomes but do not cause them to happen.
The predictability of randomness
A RANDOM EVENT, by definition, does not lend itself to explanation, but collections of random events do behave in a highly regular fashion. Imagine a large urn filled with marbles. Half the marbles are red, half are white. Next, imagine a very patient person (or a robot) who blindly draws four marbles from the urn, records the number of red balls in the sample, throws the balls back into the urn, and then does it all again, many times. If you summarize the results, you will find that the outcome “two red, two white” occurs (almost exactly) six times as often as the outcome “four red” or “four white.” This relationship is a mathematical fact.
A related statistical fact is relevant to the cancer example. From the same urn, two very patient marble counters take turns. Jack draws four marbles on each trial, Jill draws seven. They both record each time they observe a homogeneous sample — all white or all red. If they go on long enough, Jack will observe such extreme outcomes more often than Jill — by a factor of eight (the expected percentages are 12.5 percent and 1.56 percent). No causation, but a mathematical fact: Samples of four marbles yield extreme results more often than samples of seven marbles do.
Now imagine the population of the United States as marbles in a giant urn. Some marbles are marked KC, for kidney cancer. You draw samples of marbles and populate each county in turn. Rural samples are smaller than other samples. Just as in the game of Jack and Jill, extreme outcomes (very high and/or very low cancer rates) are most likely to be found in sparsely populated counties. This is all there is to the story.
Our predilection for causal thinking exposes us to serious mistakes in evaluating the randomness of truly random events. For an example, take the sex of six babies born in sequence at a hospital. The sequence of boys and girls is obviously random; the events are independent of each other, and the number of boys and girls who were born in the hospital in the last few hours has no effect whatsoever on the sex of the next baby. Now consider three possible sequences:
BBBGGG
GGGGGG
BGBBGB
Are the sequences equally likely? The intuitive answer — “of course not!” — is false. Because the events are independent and because the outcomes B and G are (approximately) equally likely, then any possible sequence of six births is as likely as any other. Even now that you know this conclusion is true, it remains counterintuitive, because only the third sequence appears random. As expected, BGBBGB is judged much more likely than the other two sequences. We are pattern seekers, believers in a coherent world, in which regularities (such as a sequence of six girls) appear not by accident but as a result of mechanical causality or of someone’s intention. We do not expect to see regularity produced by a random process, and when we detect what appears to be a rule, we quickly reject the idea that the process is truly random. Random processes produce many sequences that convince people that the process is not random after all. You can see why assuming causality could have had evolutionary advantages. It is part of the general vigilance that we have inherited from ancestors. We are automatically on the lookout for the possibility that the environment has changed. Lions may appear on the plain at random times, but it would be safer to notice and respond to an apparent increase in the rate of appearance of prides of lions, even if it is actually due to the fluctuations of a random process.
The myth of the hot hand
AMOS TVERSKY AND his students Tom Gilovich and Robert Vallone once caused a stir with their study of misperceptions of randomness in basketball. The “fact” that players occasionally acquire a hot hand is generally accepted by players, coaches, and fans. The inference is irresistible: A player sinks three or four baskets in a row and you cannot help forming the causal judgment that this player is now hot, with a temporarily increased propensity to score. Players on both teams adapt to this judgment — teammates are more likely to pass to the hot scorer and the defense is more likely to double-team. Analysis of thousands of sequences of shots led to a disappointing conclusion: There is no such thing as a hot hand in professional basketball, either in shooting from the field or scoring from the foul line. Of course, some players are more accurate than others, but the sequence of successes and missed shots satisfies all tests of randomness. The hot hand is entirely in the eye of the beholders, who are consistently too quick to perceive order and causality in randomness. The hot hand is a massive and widespread cognitive illusion.
The public reaction to this research is part of the story. The finding was picked up by the press because of its surprising conclusion, and the general response was disbelief. When the celebrated coach of the Boston Celtics, Red Auerbach, heard of Gilovich and his study, he responded, “Who is this guy? So he makes a study. I couldn’t care less.” The tendency to see patterns in randomness is overwhelming — certainly more impressive than a guy making a study.
The secret of successful schools
I BEGAN WITH the example of cancer incidence across the United States. The example appears in a book intended for statistics teachers, but I learned about it from an amusing article by the two statisticians I quoted earlier, Wainer and Zwerling. Their essay focused on a large investment, some $1.7 billion, which the Gates Foundation made to follow up intriguing findings on the characteristics of the most successful schools. Many researchers have sought the secret of successful education by identifying the most successful schools in the hope of discovering what distinguishes them from others. One of the conclusions of this research is that the most successful schools, on average, are small. In a survey of 1,662 schools in Pennsylvania, for instance, six of the top 50 were small, which is an overrepresentation by a factor of four. These data encouraged the Gates Foundation to make its investment in the creation of small schools, sometimes by splitting large schools into smaller units.
This probably makes intuitive sense to you. It is easy to construct a causal story that explains how small schools are able to provide superior education and thus produce high-achieving scholars by giving them more personal attention and encouragement than they could get in larger schools.
Unfortunately, the causal analysis is pointless because the facts are wrong. If the statisticians who reported to the Gates Foundation had asked about the characteristics of the worst schools, they would have found that bad schools also tend to be smaller than average. The truth is that small schools are not better on average; they are simply more variable. If anything, say Wainer and Zwerling, large schools tend to produce better results, especially in higher grades, where a variety of curricular options is valuable.
The law of small numbers is part of a larger story about the workings of the mind: Statistics produce many observations that appear to beg for causal explanations but do not lend themselves to such explanations. Many facts of the world are due to chance, including accidents of sampling. And causal explanations of chance events are inevitably wrong.
©2011 by Daniel Kahneman. Reprinted by permission of Farrar, Straus & Giroux. All rights reserved. Excerpted from Thinking, Fast and Slow.
What makes you feel masculine?
What makes you feel masculine? That’s the question photographer Chad States asked the subjects of his recent series of portraits.
I am masculine because I abandon women after taking their love. Because when you study Freud you don’t let him study you. Because I study philosophy not literature.
—Luke
Fascism today
Fascism in America won’t come with jackboots, book burnings, mass rallies, and fevered harangues, nor will it come with black helicopters or tanks on the street. It won’t come like a storm, but as a break in the weather, that sudden change of season you might feel when the wind shifts on an October evening: Everything is the same, but everything has changed. Something has gone, departed from the world, and a new reality will have taken its place. All the old forms will still be there: legislatures, elections, campaigns, plenty of bread and circuses. But ‘consent of the governed’ will no longer apply; actual control of the state will have passed to a small and privileged group who rule for the benefit of their wealthy peers and corporate patrons.
To be sure, there will be factional conflicts among the elite, and a degree of debate will be permitted; but no one outside the privileged circle will be allowed to influence state policy. Dissidents will be marginalized, usually by ‘the people’ themselves. Deprived of historical knowledge by a thoroughly impoverished educational system designed to produce complacent consumers, left ignorant of current events by a corporate media devoted solely to profit, many will internalize the force-fed values of the ruling elite, and act accordingly. There will be little need for overt methods of control.
The rulers will act in secret, for reasons of ‘national security’ and the people will not be permitted to know what goes on in their name. Actions once unthinkable will be accepted as routine: government by executive fiat, state murder of ‘enemies’ selected by the leader, undeclared wars, torture, mass detentions without charge, the looting of the national treasury, the creation of huge new ‘security structures’ targeted at the populace. In time, this will be seen as ‘normal’, as the chill of autumn feels normal when summer is gone. It will all seem normal.
— Chris Floyd, November 10, 2001, Moscow Times
Been out ice fishin: too much repetition
Fifteen under zero when the day became a threat
My clothes were wet and I was drenched to the bone
Been out ice fishin, mmmm too much repetition
Make a man wanna leave the only home he’s known
— The Band, “Acadian Driftwood”
Psilocybin for depression
“Magic” mushrooms could have the capacity not only to blow users’ minds but also to heal them. British neuroscientists injected volunteers with the chemical psilocybin, the psychedelic ingredient in hallucinogenic mushrooms, while scanning their brains. Since psilocybin mushrooms “are thought of as ‘mind-expanding’ drugs,” the scientists expected to see marked increases in brain activity, Imperial College London professor David Nutt tells Nature News. But to their surprise, activity decreased — especially in the parts of the brain that ground us in reality and govern our sense of self. Those regions — the medial prefrontal cortex and the posterior cingulate cortex — tend to be hyperactive in people with depression. The finding suggests that psilocybin’s ability to give recreational users dream-like, out-of-body experiences could also help depressed patients break free of the “particularly restrictive state of mind” that forces them into loops of negative thinking, says study co-author Robin Carhart-Harris. The effects could also be long-lasting; previous research has shown that a single high dose of psilocybin can improve the mood of recipients for more than a year.
— The Week, February 10, 2012


