Archive for the 'Communication' Category

Mind Control

Thursday, November 8th, 2007

The ultimatum game brings out conflicting impulses: a researcher offers two players a set amount of money and explains that if they agree on how to divvy it up they will keep that money for themselves. If they don’t, neither will get anything. One player then offers the other a split. Most players reject a patently unfair division — such as offering only $4 out of a total of $20. Yet, self interest would argue that even $4 is better than nothing, which is what will otherwise result.

Daria Knoch and economist Ernst Fehr studied 52 young men in the ultimatum game. The researchers specified the amounts that could be offered - ranging from four to 10 Swiss francs out of 20 - and had computers randomly select some of the offers. This helped distinguish between the recipients demand for reciprocity - only applicable when another human being is in control - and a general resistance to unfair offers. The scientists divided the recipients into 3 groups: those who would receive transcranial magnetic stimulation (TMS) to suppress electrical activity in the right side of their prefrontal cortices, those who would receive the treatment on the left side and, as controls, those who would receive no stimulation.

45% of the men who experienced TMS on the right side of their prefrontal cortex accepted the most unfair offers - a split of 16 to 4 - compared with just 15% of those whose left side had been stimulated and 9% of the controls. 37% of those who underwent right side stimulation accepted all unfair offers - judged as any split less than 10 to 10 - whereas no one was so accepting in the other groups. And they made the decision to accept an unfair offer as quickly as a fair one, while their colleagues needed much longer to decide. This marks the first time that brain researchers have controlled a specific behavior by using TMS on a specific region of the brain. It takes at least 15 minutes of direct application to the skull to induce the changes, and they only last a short while.

Selfish Impulse Set Free by Magnetic Pulse to Brain,” by David Biello

Fairness

Sunday, October 7th, 2007

In the ultimatum game, 2 players, a proposer and a responder, divide a reward. The responder can either accept the proposer’s division or reject it. If he rejects it, both players receive nothing.

Scores of studies have run the ultimatum game across cultures and ages. Universally, people reject any share lower than 20% — apparently to punish the greed of the proposer.

A study by Björn Wallace, et al (”Heritability of ultimatum game responder behavior“), suggests that the sense of fairness is rooted in genetics.

Wallace played the ultimatum game with twins. He neutralized the effect of upbringing and exposed that of genetics by comparing identical twins (who share all their genes) with fraternal twins (who share half).

Each twin of a pair played the ultimatum game, both as proposer and as responder. In the case of identical twins, there was a striking correlation between the average division that each member of a pair proposed and also between what they were willing to accept. In other words, their senses of what was fair were similar. No such correlations were seen in the behaviour of fraternal twins.

Patience, fairness and the human condition,” The Economist

Kids

Saturday, September 29th, 2007

Babies are born with distinctive characteristics that make certain developmental outcomes more likely. Parental behavior is, in part, a reaction to the child’s behavior (See “Parent, child, and reciprocal influences,” and “How people make their own environments“) and physical appearance (”Infant attractiveness predicts maternal behaviors and attitudes“). Every published report of a correlation between parental behavior and child outcome now contains a disclaimer admitting that the direction of effects is uncertain and that the correlation could be due in part to a child-to-parent effect (The Nurture Assumption, p. 27), a type of evocative gene–environment correlation.

Children share 50% of their genes with each of their biological parents, which means that for genetic reasons alone, children born with a predisposition to be timid (Galen’s Prophecy) are more likely to be raised by timid parents, and children born with a predisposition to be aggressive are more likely to be reared by aggressive parents.

Genetic influences can produce change as well as stability. An individual may have blond hair at age 5, brown hair at age 25, and no hair at age 75, and these changes are ordained by the genes. As we get older we become more like our parents because our parents, too, went through these changes. Longitudinal studies using genetically informative designs (”Genetic change and continuity from fourteen to twenty months“) have shown that genetic influences that affect behavior or adjustment at one age are not necessarily the same genetic influences that affect these variables at another age. There are genes that kick in early and genes that bide their time.

The outcome of many years of research on parent-training interventions by Rex Forehand: Parents found the training to be effective in improving their children’s behavior at home but not at school. Similar conclusions have been reached in regard to programs designed to improve the school adjustment and academic performance of children living in poverty: There is little evidence that parenting programs produce the hoped-for linkage between changed parent behaviors and improved child outcomes (”Does research support claims about the benefits of involving parents in early intervention programs?“).

Behavioral genetic studies estimate genetic and environmental influences on developmental outcomes by measuring pairs of siblings. The results of these studies are monotonously consistent, regardless of the outcome measure used and the kinds of sibling pairs who participate — twins or ordinary siblings, reared together or apart, biologically related or not. Genetic effects generally account for 35% to 65% of the variance among the participants, the effects of being reared in the same home account for 0 to 10%, and the balance remains unaccounted for (”Where is the child’s environment?“). With few exceptions, being reared in the same home does not make siblings of any kind more alike.

These results show not only that siblings are different but that the home environment has had little or no net effect on the measured outcomes. If being reared by conscientious parents, for example, tended to make children more conscientious, then 2 children reared by conscientious parents should, on average, both be more conscientious than 2 reared by careless parents. Therefore, 2 children reared in the same home should be significantly more alike in conscientiousness than 2 reared in different homes, which is exactly what the studies do not find (”Genes, environment, and personality“). The same results also rule out the possibility that being reared by conscientious parents makes children less conscientious on average. The bottom-line effect of the shared home environment on conscientiousness is not noticeably different from zero.

For alcoholism (”The behavioral genetics of alcoholism“) and criminal behavior, the evidence strongly suggests that the operative environmental influences are in the neighborhood, not in the home.

A major study was launched in 1987; its results are described in The Relationship Code. David Reiss studied 720 pairs of same-sex adolescent siblings (identical and fraternal twins and full, half and stepsiblings) over a 3-year period, from early to mid-adolescence. The adolescents’ behavior and adjustment, and the behavior of their parents, were judged by observers, the parents, and the adolescents themselves; these multiple sources of information were combined to produce measures of unusual reliability.

Virtually all correlations between parental behaviors and child outcomes were accounted for by genetic factors. The parents treated their children differently but they were reacting to genetic differences among the children, rather than causing the differences. The environment not shared by siblings was by far the largest (in many cases, the sole) nongenetic contributor to the adolescents’ behavior and adjustment, and the study eliminated all of the following as possible sources of nonshared environmental influence: “differential marital conflict about the adolescent versus the sib, differential parenting toward siblings, and asymmetrical relationships the sibs construct with each other.” Ruling out the last factor indicates that differences in age — that is, birth order — cannot account for the differences between siblings.

Developmentalists and behavioral geneticists alike have so far been unable to identify the important environmental influences on development, the sources of the nongenetic variation in personality and behavior.

Birth order effects are real, but they are tied to the context of the family. We ordinarily know the birth order only of people we are close to, and these are the people we are most likely to see with their parents and siblings. Birth order studies in which parents are asked to rate their children’s personalities, or adults are asked to compare themselves with their siblings, generally do yield significant birth order effects; studies that use other methods generally do not (”Context-specific learning, personality, and birth order“). In a study in which pairs of siblings were rated both by parents and by teachers, parents judged the older sibling to be more aggressive than the younger one, but teachers judged them to be about the same (”An adoption study of the etiology of teacher and parent reports of externalizing behavior problems in middle childhood“).

Family misfortunes have repercussions on children’s lives outside the home. A divorce, for example, often involves moving to a different residence, and moving disrupts the child’s life outside the family. Even when other demographic differences are controlled, children who have experienced frequent residential moves have higher rates of social, behavioral, and academic problems (”Mobility as a mediator of the effects of child maltreatment on academic performance” & “Impact of family relocation on children’s growth, development, school function, and behavior“). McLanahan and Sandefur (Growing up with a Single Parent) found that controlling for 2 factors — number of residential moves and differences in family income — can erase most of the differences in outcome between children reared in single-parent and two-parent families.

Because developed societies require very different behaviors in the home and in public (”Growing up in the post-modern age”), and people everywhere make distinctions between kin and nonkin (How the Mind Works), children behave differently in different contexts (”Studying temperament via construction of the Toddler Behavior Assessment Questionnaire“).

Children bring with them to adulthood the language and accent of their peers, not those of their parents. Evidence comes from studies of hearing children reared by deaf parents and of deaf children reared by hearing parents and from studies of the children of immigrants.

Derek Bickerton interviewed adults whose parents had immigrated to Hawaii around the turn of the last century. Though the parents came from all over the world and spoke a variety of languages, their adult offspring all spoke the same language — a creole, created in their childhood peer groups. No trace of their parents’ language or accent was detectable in their speech; the language of their peers had become their “native language.” The adults in these communities used a pidgin, not the creole, to communicate with each other.

Simon Baron-Cohen (”Do children with autism acquire the phonology of their peers?”) studied the accents of children and young adults with autism. These were the offspring of immigrants; their mothers spoke English with a foreign accent. The nonautistic siblings of these children spoke English without a foreign accent, but 83% of the children and young adults with autism had retained the foreign accent of their mothers. Baron-Cohen attributed this outcome to “a lack of the normal drive to identify with peers.”

Multivariate genetic analysis makes it possible to estimate how much genetic and environmental influences each contribute to the correlations found between behavior in different contexts. For example, children who are shy in one social context are not necessarily shy in others, but some children are shy in every context (”The Consistency and Concomitants of Inhibition“). Multivariate genetic analysis shows that the genetic component of shyness is responsible for the correlation across contexts; differences in shyness from one context to another are due primarily to environmental influences (”Continuity and change in infant shyness from 14 to 20 months“).

Interventions designed to teach parents better ways of dealing with their noncompliant children succeed in reducing the children’s coercive behavior at home but do not produce significant improvements in their behavior in school.

Infants who behave in a somber, subdued fashion in the presence of their depressed mothers behave normally in the presence of nondepressed caregivers; their subdued behavior is “specific to their interactions with their depressed mothers” (”Infants of depressed mothers show less ‘depressed’ behavior with their nursery teachers”). Secure attachments to one caregiver are not good predictors of secure attachments to another (”Prediction of infant-father and infant-mother attachment” & “Quality of infants’ attachments to professional caregivers“). Nor are secure attachments to parents good predictors of successful relationships with peers (”Maternal, teacher, and child care history correlates of children’s relationships with peers“). The quality of sibling relationships does not predict the quality of relationships with peers; sometimes the correlations are negative (”Compensatory patterns of support among children’s peer relationships“).

According to Irenäus Eibl-Eibesfeldt (Human Ethology), once children in hunter–gatherer and tribal societies have been weaned, they spend most of their time in the local play group. “Thus the child’s socialization occurs mainly within the play group.”

When children divide or are divided into two groups, preexisting differences between the groups are widened by contrast effects between groups and assimilation within them.

Thus, putting antisocial youth together for a group intervention is likely to make them more antisocial, a prediction that has recently been confirmed by Thomas J. Dishion (”When interventions harm”).

A boy’s status in his peer group is determined in part by his size. Small, slow-maturing boys generally have lower status (”An ethological study of dominance formation and maintenance in a group of human adolescents“). Studies have shown that children who are small for their age tend to have more than their share of psychological problems (”Academic and emotional difficulties associated with short stature”).

M.C. Jones (”The later careers of boys who were early or late maturing,” 1957) did a longitudinal study comparing males who were slow developers — smaller than most of their peers throughout childhood — with early developers. The two groups ended up almost equal in mean adult height, but there were significant differences in their adult personalities. The early developers were more dominant, relaxed, and poised; the slow developers were more impulsive, attention-seeking, and touchy.

Socialization, Personality Development, and the Child’s Environments,” by Judith Rich Harris

Loneliness

Saturday, September 22nd, 2007

Steve Cole and John Cacioppo, used a “gene chip” to look at the DNA of isolated people and found that people who described themselves as chronically lonely have distinct patterns of genetic activity, almost all of it involving the immune system.

The study does not show which came first — the loneliness or the physical traits.

Many studies of large populations have shown that people who describe themselves as lonely or as having little social support are more likely to die prematurely and to have infections, high blood pressure, insomnia and cancer.

When the researchers studied and compared all 22,000 human genes, 209 stood out in the loneliest people.

Many of the these genes seemed to be involved in the basic immune response to tissue damage and others were involved in the production of antibodies (the tag the body uses to mark microbes or damaged cells for removal), suggesting that the loneliest people had unhealthy levels of chronic inflammation, which has been associated with heart and artery disease, arthritis, Alzheimer’s, etc.

Sick? Lonely? Genes tell the tale,” Reuters

Complaining

Thursday, September 20th, 2007

A recent study by Amanda Rose found that teenage girls who vented to each other about their problems were more likely to develop depression and anxiety.

(Rose found that guys don’t tend to analyze their problems as deeply as women. That might be because relationship issues tend to spark the most obsessive discussions, and that’s a subject women are more likely to dwell on.)

Girls who vented to each other reported feeling closer to their friends.

Quit complaining — it may make you feel worse,” by Melissa Dahl

Popular Myths

Thursday, September 6th, 2007

The CDC recently issued a flier to combat myths about the flu vaccine. It recited various commonly held views and labeled them either “true” or “false.” Among those identified as false were statements such as “The side effects are worse than the flu” and “Only older people need flu vaccine.”

When Norbert Schwarz had volunteers read the CDC flier, he found that within 30 minutes, older people misremembered 28% of the false statements as true. Three days later, they remembered 40% of the myths as factual.

Younger people did better at first, but 3 days later they made as many errors as older people did after 30 minutes. People of all ages now felt that the source of their false beliefs was the respected CDC.

The new psychological studies show that denials and clarifications can paradoxically contribute to the resiliency of popular myths.

An experiment by Kimberlee Weaver (”Inferring the popularity of an opinion from its familiarity: A repetitive voice can sound like a chorus“) shows that hearing the same thing over and over again from one source can have the same effect as hearing that thing from many different people — the brain gets tricked into thinking it has heard a piece of information from multiple, independent sources, even when it has not.

Persistence of Myths Could Alter Public Policy Approach,” by “Shankar Vedantam

Free Music

Sunday, July 15th, 2007

The music industry is growing. The record industry is not.

Seven years ago musicians derived two-thirds of their income, via record labels, from pre-recorded music, with the other 1/3 coming from concert tours, merchandise and endorsements. But today those proportions have been reversed. Concert-ticket sales in North America increased from $1.7 billion in 2000 to over $3.1 billion last year.

Pre-recorded music increasingly serves merely as a marketing tool for T-shirts and concert tickets. The best seats for The Police’s world tour this summer cost over $900; the group’s entire catalogue on CD costs less than $100.

Record labels have come up with a remedy: the “360° contract.” Instead of settling for a cut of CD sales, they increasingly offer artists broader contracts that encompass live music, merchandise and endorsement deals. Such deals, also known as multiple-rights or all-rights contracts, are particularly important in regions with rampant CD piracy, such as Africa, Asia and Latin America.

Free downloads have given music fans more money to spend on other things. And they have switched their spending from CDs to tickets and merchandise.

The logical conclusion is for artists to give away their music as a promotional tool.

A change of tune,” The Economist

Why Terrorism Rarely Works

Sunday, July 15th, 2007

Correspondent inference theory: people tend to infer the motives of someone who performs an action based on the effects of his actions, and not on external or situational factors.

This makes evolutionary sense. In a world of simple actions and base motivations, it allows a creature to rapidly infer the motivations of another creature. (He’s attacking me because he wants to kill me.)

One place it fails is in our response to terrorism. Because terrorism often results in the horrific deaths of innocents, we mistakenly infer that the horrific deaths of innocents is the primary motivation of the terrorist, and not the means to a different end.

Max Abrahms (”Why Terrorism Does Not Work” — .PDF file here) analyzes the political motivations of 28 terrorist groups: the complete list of “foreign terrorist organizations” designated by the U.S. Department of State since 2001. He lists 42 policy objectives of those groups, and found that they only achieved them 7% of the time.

According to the data, terrorism is more likely to work if 1) the terrorists attack military targets more often than civilian ones, and 2) if they have minimalist goals like evicting a foreign power from their country or winning control of a piece of territory, rather than maximalist objectives like establishing a new political system in the country or annihilating another nation. But even so, terrorism is a pretty ineffective means of influencing policy.

“Countries believe that their civilian populations are attacked not because the terrorist group is protesting unfavorable external conditions such as territorial occupation or poverty. Rather, target countries infer the short-term consequences of terrorism — the deaths of innocent civilians, mass fear, loss of confidence in the government to offer protection, economic contraction, and the inevitable erosion of civil liberties — (are) the objects of the terrorist groups. In short, target countries view the negative consequences of terrorist attacks on their societies and political systems as evidence that the terrorists want them destroyed.”

In other words, terrorism doesn’t work, because it makes people less likely to acquiesce to the terrorists’ demands, no matter how limited they might be: people don’t believe those limited demands are the actual demands.

The Evolutionary Brain Glitch That Makes Terrorism Fail,” by Bruce Schneier

Travel

Friday, June 1st, 2007

Over the past two centuries, the distance traveled each day by the average person has grown by a factor of ten thousand. According to Nebojsa Nakicenovic (”Overland Transportation Networks”), an average person in 1800 traveled no more than about 50 meters each day. Many stayed within and around the home, or worked in the fields, and most of those who worked in the towns and cities lived there. There was little commuting back then. Nowadays we travel an average of 50 kilometers each day.

Nexus, by Mark Buchanan

Of Fish & Phones

Friday, May 18th, 2007

Until 1997, on average, 5-8% of Kerala’s total fish catch was wasted, says Robert Jensen [”The Digital Provide”; .pdf file here], who has surveyed the price of sardines at 15 beach markets. On January 14th 1997, for example, 11 fishermen at Badagara beach ended up throwing away their catches, yet on that day there were 27 buyers at markets within about nine miles who would have bought their fish. There were also wide variations in the price of sardines along the coast.

But starting in 1997 mobile phones were introduced. Coverage spread gradually, providing an ideal way to gauge the effect.

As phone coverage spread between 1997 and 2000, instead of selling their fish at beach auctions, the fishermen would call around to find the best price, while still at sea. Dividing the coast into three regions, Mr Jensen found that the proportion of fishermen who ventured beyond their home markets to sell their catches jumped from zero to around 35% as soon as coverage became available in each region. At that point, no fish were wasted and the variation in prices fell dramatically. By the end of the study coverage was available in all three regions. Waste had been eliminated and the “law of one price” had come into effect, in the form of a single rate for sardines along the coast.

Fishermen’s profits rose by 8% on average and consumer prices fell by 4% on average. Higher profits meant the phones typically paid for themselves within two months.

Leonard Waverman [”The Impact of Telecoms on Economic Growth in Developing Countries”; .pdf file here] found that an extra 10 mobile phones per 100 people in a typical developing country leads to an additional 0.44 percentage points of growth in GDP per person.

To do with the price of fish,” The Economist