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veritas odit moras
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Measuring evil: it's a science   5.11.01   AP
objectivity & skepticism ¹ ª º ² ³ ª ß ç º ð å µ £ +n ¿ ë ƒ New Orleans   "Evil" is not a word most psychiatrists like. But some are trying to find a way to measure it. During a symposium Thursday at the American Psychiatric Association convention, Dr. Michael Welner, a forensic psychiatrist, asked more than 120 psychiatrists to help create a depravity scale which could be used by the courts to judge criminals. Every day, judges ask juries to decide whether crimes are heinous, atrocious, cruel, outrageous, wanton, vile or inhuman, aggravating factors which can increase sentences and even lead to the death penalty in some states. But there are no universal standards to define such terms, Welner told the overflow audience. The interpretations often depend on judges' & jurors' emotions & biases, and politics or media attention can influence a prosecutor to seek the death penalty, he said. In his effort to create a scale to measure depravity in defendants, Welner, who has testified as both a prosecution & defense witness, created a list of 26 indications of intent, actions and attitudes which could be used to rate crimes.
Among the intents are whether the person meant to cause emotional trauma, cause permanent disfigurement, or terrorize or target the helpless. Actions include whether an attack was unrelenting or the attacker prolonged the victim's suffering. Attitudes include blaming the victim, having disrespect for the victim or taking satisfaction in the crime. Welner is asking judges, prosecutors, defense attorneys, psychiatrists and theologians to go to his website & rate each indicator for whether they believe it is especially, somewhat, or not at all representative of depravity. The object is to find indicators which all or most experts agree on, a "consensus morality" which could be used in court.

Thursday's symposium ¹, titled "How Psychiatry Defines Evil," was held on the final evening of the convention. Dr. Michael Stone of Columbia Univ. also showed slides of nearly three dozen killers & others whom he considers evil. A woman who burned one of her 3 daughters alive and starved another to death was "at the extreme edge of evil … one of the most clearly evil persons" of more than 400 whose biographies he has read, Stone said. However, he added that "the bulk of evil on a world scale is committed by ideologues & their followers." Wars & persecutions, from the Spanish Inquisition to the fighting in Bosnia, show people are capable of "bottomless cruelty to those outside the tribe, especially in times of hardship & hunger," he said.
Welner also discussed other research that has highlighted problems with trying to measure depravity in criminals. For example, some traits associated with people who cannibalize, mutilate or torture their victims are also found in people who don't commit such crimes. Dr. Cleo Van Velsen, a forensic psychiatrist from London who was in the audience, said another challenge is determining why people commit acts that can be described as evil. "We know they exist, but not why they are produced," she said. Dr. John L. Young of New Haven, CT said he found "depravity" a more acceptable term than "evil." Trying to create a fairer, more reliable measurement for a word used in court is one thing, he said, but "I'm not holy enough, not saintly or godly enough to tamper with evil."

    Is "rugged individualism" bad science ?
    unattrib.
Can humans get high just from being nice?
Apparently so, according to researchers from Emory Univ. GA, who believe the brain finds happiness when its owner is nice to people and plays nice with others. "When people cooperate together, it activates parts of their brains that are activated by other types of rewards," such as money, or even drugs, said study co-investigator & Emory University School of Medicine assoc. prof. of psychiatry Dr. Gregory Berns.
Deep in the human brain, there is a mechanism that helps people make choices based on rewards they can receive. For example, someone may choose to work late in order to make more money. Or he can choose instead to go home, to spend more time with his family. In both scenarios, there is a payoff and a consequence.

The Emory report was based on a study of 36 women,
  [ gender biased sample = unfounded deductions ]
who played a game called "Prisoner's Dilemma," which highlights how people act & cooperate in certain situations. The experiment found that most people, whether they are aware of it or not, wanted to get along, even if there was more reward in not doing so. This cooperation caused satisfying activity in areas of the brain that get a high from drugs, good food or even love. "It's nice the brain seems at least to be wired to associate a reward for cooperation, it could have been the other way around," Berns said. "It's exactly this type of thing that I think keeps society together."

  [ The hand that rocks the cradle rules the world
A.Hitler ]
The study may not be in line with a well-known theory highlighted in the 2001 movie, A Beautiful Mind, in which Russell Crowe played John F. Nash, talented real-life mathematician struck by schizophrenia. Nash is known for his "Nash Equilibrium," which said humans are more likely not to cooperate in order to survive.

Nash's work on game theory at the RAND Corp. in VA made him a leading expert on the Cold War conflict, and he won the 1994 Nobel Prize in Economic Science for his work. Nash is currently traveling and was unavailable for comment. Nash's theory focused on one-time situations. But the Emory study suggests people will act differently during continuous interaction with other humans.So humans will probably be less selfish in the short term, the Emory study suggests, if they know they have to see those same people again. And people will not just be nice because they have to, but because deep down, it actually makes them feel good.
The findings are important because, "in these types of interactions of exchanging favors, there's always the temptation to go for the selfish, short-term gain," said Emory study principal investigator James Rilling. But in reality, most people find acting beyond their own self-interest makes for happy brain waves. "I think it helps to restrain short-term self-interested behavior, which would not be good for society at large," Rilling said.


"The ultimate weakness of violence is that it is a descending spiral, begetting the very thing it seeks to destroy. Instead of diminishing evil, it multiplies it … Through violence you may murder the hater, but you do not murder hate. In fact, violence merely increases hate. So it goes."
Martin Luther King, Jr.
Lao Tzu         E.Kubler-Ross 7 stages of grief  
    [ shallow apologia ]
    It's strictly secular
    Bush's frequent use of the word "evil" has little to do with his Christianity. Rather, it's a word that evokes something real.
    3.31.02   Charlotte Allen L.A. Times
    auth., The Human Christ Search for historical Jesus
WASHINGTON   "States like these & their terrorist allies constitute an axis of evil, arming to threaten the peace of the world." Pres.GWBush in Jan. 2002 State of the Union address re arsenals of mass destruction in Iran, Iraq and N.Korea before we have another anthrax scare or 9.11.01 massacre. Europeans ridiculed Bush's characterization of these rogue states as "evil" as of American moral "simplisme," to paraphrase French Foreign Min. Hubert Vedrine, whose recent Winter Olympic Games pairs figure-skating judge admitted she threw her vote under pressure. Oddest of all takes on Bush's choice of words was separate church & state critique leveled by media pundits. Idea that use of word "evil," was inappropriate injection of religious discourse, specifically Christian discourse, into political matters supposed to be strictly secular, as he presumably did when he declared during presidential campaign that Jesus Christ was his favorite political philosopher.

An example is Slate online magazine's Robert Wright "axis of evil" interpretation: "It means Bush is on a mission from God … It wouldn't surprise me if he thinks that part of his mission is to teach a Godless society about moral absolutes, to re-inject the words 'good' & 'evil' into serious discourse. If you take the word 'evil' seriously, the 'axis' part follows; various manifestations of evil are inherently coordinated, since they all have the same source. Iran & Iraq may hate each other, but they're both on Satan's team." For Wright, Bush had too many Sunday sermons at Windsor Village United Methodist in Houston, where he found his savior in a midlife born- again conversion.
Even some conservative Bush admirers find hidden religious references in both his State of the Union address and his statement 9.11.01: "Today, our nation saw evil." Univ.of VA political prof. James W. Ceaser analyzes Bush's words in current issue of The Weekly Standard: "Geo. Bush has been influenced to his core by his encounter with the Bible." Difficult to be a regular churchgoer reciting the Lord's Prayer ("deliver us from evil") and pondering the Scriptures ("because the days are evil") without being influenced by both Christian language & mental categories. Nonetheless, it's fairly clear Bush's use of the word "evil" in these 2 contexts was not an effort, conscious or unconscious, to bring theology into national security.

The phrase "axis of evil" (by all reputed accounts, coinage not of Bush himself but of former speechwriter David Frum), far from alluding to any Bible passage , seems clearly lifted, chapter & verse, from the Gospel according to Ronald Reagan, who almost never went to church. Remember "the evil empire"? And, of course, the word "axis" evokes the Nazi-led trio of nations that slaughtered millions during WWII. Bush & his speechwriters selected the phrase "evil axis" because, first & foremost, it is rhetorically powerful, evoking the charnel houses that 20th century tyrannies of the right & left made of entire nations. During those regimes' years of terror, every day was 9.11.01 for members of disfavored religions, ethnic groups and political affiliations.

"Evil" is a word that works, not just for politicians & their speechwriters. Look it up in a quotation dictionary. One of the most frequent literary sources for the word, after the Bible, is likely to be Wm Shakespeare, master of rhetorical stage effect: "The evil that men do lives after them;" "Sham'st thou to show thy dangerous brow by night, When evils are most free?" This suggests something further: The word "evil" works in the public mind because it evokes something real; everybody except a handful of pundits knows it is real. Hence, the spellbinding power & runaway audience success of "The Lord of the Rings: Fellowship of the Ring," film that has no overt religious content but is precisely about a struggle of good against evil, evil in all its grasping, corrupting murderousness.
  [ Popularity of fairy tales is not logical proof of moral state's manifest existance. ]

Because we know people have capacity to create living hells for other people, we don't hesitate to use the word "evil" when it is appropriate, even in our presumably "godless" society. The Holocaust wasn't evil? Mass murder of 9.11.01were evil. Maybe it's "simplistic" to think so; maybe it's an effort to inject moral absolutes where they don't belong, but "evil" is the word that springs to mind. If you believe in Satan, you might logically attribute some of the mayhem to his fiendish cunning. Not surprisingly, Bush & Reagan are hardly the only recent presidents to use the word "evil" where it seemed highly appropriate. Pres.l Clinton used the word in connection with 1994 shooting of an Israeli soldier by Hamas militants, 1998 murder of gay college student Matthew Shepard in an hate spree, fatal pipe bombing during 1996 Olympic Games in Atlanta, GA, and 1995 Oklahoma City federal-building bombing of 1995. Few deemed the word overly judgmental.

At a 1999 dinner VP Gore, referring to mass shootings, declared, "My religious tradition says evil has always been with us, and we need to meet evil with good." Explicitly Christian language, yet no one accused Gore of "incoherence," as Wright did in his Slate essay on Bush. As for contents of Bush's "evil axis" reference in his State of the Union address, accuse him of overstatement in the case of starving, doddering N.Korea, but only if you don't take the possession of chemical, biological and nuclear weapons seriously, impossible to do after 9.11.01. Recent New Yorker article by Jeffrey Goldberg details Saddam Hussein's genocidal war against his country's millions of Kurds in the north, marked by deliberate starvation, inhumanly crowded and filthy concentration camps, and poison gas that causes death, blinding and cancer. If that's not evil, what is?
  [ Likewise a question rightly asked of Daddy Bush's treacherous renege on promises of military support to those same Kurds. ]

Bush is unabashedly religious; as such, he is like many Americans shaken by the events of recent months. No doubt his Christian faith, incl unequivocal Christian delineation between right & wrong, informs his thinking. Such forthright faith, at this difficult time of war & looming war, strikes many Americans as a good thing; the president's popularity ratings continue to soar. However, it's just as crudely simplistic to attribute his every reference to "evil" to a caricature of Christianity as it would be if Bush himself were a caricature of Christianity "on a mission from God." Evil, alas, is real, and it is sadly with us.
  [ GWBush as a disciple of Jesus' teachings is equally obvious falsehood. ]


[ Proof that stewardship & expecting the worst is more profitable than insurance firms' actuarial gambling on the myth that risk is courage & courage is rewarded.

In the real world of humans, ultimate gain results from diligent minimizing, not brave maximizing.
Faith in triumph of the will is the self indulgence of fooling oneself with random, albeit desired, results.

Reliance on discipline, despite, although not regardless of, costs, is incontrovertibly more dependable. ]

tesseract link Empirica follows a very particular investment strategy. It trades options, not stocks & bonds but in volatility of stocks & bonds. What drives the options game is notion that risks represented by all bets can be quantified by looking at past behavior to figure exact odds like insurance companies analyze actuarial statistics.
Karl Popper "No amount of observations of white swans can allow the inference that all swans are white, but the observation of a single black swan is sufficient to refute that conclusion."

In 1972, Hal Varian suggested the law could be used to detect possible fraud in lists of socio-economic data submitted in support of public planning decisions. Based on the plausible assumption that people who make up figures tend to distribute their digits fairly uniformly, a simple comparison of first-digit frequency distribution from the data with the expected distribution according to Benford's law ought to show up any anomalous results.

In the same vein, Benford's law can be (and is) used to analyse insurance, accounting or expenses data and identify possible fraud.
Other uses, for example to analyse the results of clinical trials and election results, have also been proposed.


re
Benford's law aka the first-digit law   in lists of numbers from many (but not all) real-life sources of data, leading digit 1 occurs much more often than others (about 30% of the time).

Moreover, larger the digit, the less likely it is to occur as leading digit of a number, applicables to figures related to the natural world or of social significance; whether numbers from electricity bills, newspaper articles, street addresses, stock prices, population numbers, death rates, areas or lengths of rivers, physical & mathematical constants, and processes described by power laws (which are very common in nature).


Statisticians call a bell curve "normal distribution".
Economist Eugene Fama pointed out if movement of stock prices followed normal distribution you'd expect a really big jump, what he specified as a movement 5 standard deviations from the mean, once every 7000 years. In fact, jumps of that magnitude happen in the stock market every 3 or 4 years, because investors don't behave with any kind of statistical orderliness.
They change their mind. They do stupid things. They copy each other. They panic.
Fama concluded if you chart market fluctuations, the graph has a "fat tail" meaning at upper & lower ends of the distribution, there are many more outliers than statisticians used to modelling the physical world would have imagined.

Nassim N. Taleb buys out-of-the-money [ i.e. unlikely but inexpensive ] options by the truckload.
He buys them for hundreds of different stocks; if they expire worthless; he simply buys more. Taleb never sells options. He only buys them. He's never the one who can lose a great deal of money if stock suddenly plunges.
Nor does he ever bet on the market's moving in one direction or another. That would require Taleb to assume he understands the market, and he knows that he doesn't. He buys options on both sides on the possibility of the market's moving both up & down.
He doesn't bet on minor fluctuations in the market. Why bother? If everyone else is vastly underestimating rare events' possibility, then an option is going to be undervalued.

Taleb doesn't invest in stocks, not for Empirica and not for his own personal account.
Buying a stock, unlike buying an option, is a gamble that the future will represent an improved version of the past. No one knows whether that will be true.
So all Taleb's personal wealth and hundreds of millions of dollars Empirica has in reserve is in Treasury bills.

Few on Wall St have taken the practice of buying options to such extremes. But if anything completely out of the ordinary happens to the stock market, if some random event sends a jolt through Wall St, Taleb will be very rich.
Taleb buys options because he is certain that, at root, he knows nothing or,more precisely, that other people believe they know more than they do.
[ i.e. People can be depended on to fool themselves with belief random events aren't random. ]

At Empirica, there are no Wall St Journals. There is very little active trading, because options that the fund owns are selected by computer. Most options will be useful only if the market does something dramatic. Most days the market doesn't.
The duty of Taleb & his team is to wait & think. They analyze the company's trading policies, back-test various strategies, and construct ever more sophisticated computer models of options pricing.
Empirica inverts traditional practice.

There is no feedback other than immediate measure of how much spent & how much of what is spent is recouped.

  • every day small but real possibility of making huge amount of money;
      [ akin the state's lottery ]

  • no chance of "blow up"
    [ i.e. losing far more than invested or can even hope to repay ];

  • very large possibility that it will lose a small amount of money
"The key is not having the ideas but having the recipe to deal with your ideas," Taleb says. "We don't need moralizing. We need a set of tricks."
His trick is a protocol that stipulates precisely what has to be done in every situation. "We built the protocol, and the reason we did was to tell the guys, Don't listen to me, listen to the protocol.
I have the right to change the protocol, but there is a protocol to changing the protocol."

"You must be hard on yourself & see traditional bias in your motives", never-ending struggle between head & heart.
For Taleb there is never any alternative to painful process of insuring himself against catastrophe.

Psychologist Walter Mischel did experiments where he puts a young child in a room and places 2 cookies in front of him, one small & one large. The child is told that if he wants the small cookie he need only ring a bell and the experimenter will come back into the room and give it to him. If he wants the better treat, though, he has to wait until the experimenter returns on his own, which might be anytime in the next 20 minutes. Mischel has videotapes of 6 year olds, sitting in the room by themselves, staring at the cookies, trying to persuade themselves to wait.
One girl starts to sing to herself. She whispers what seems to be the instructions: she can have the big cookie if she can only wait. She closes her eyes. Then she turns her back on the cookies. Another little boy swings his legs violently back & forth, then picks up the bell and examines it, trying to do anything but think about the cookie he could get by ringing it. The tapes document beginnings of discipline & self-control, the techniques we learn to keep our impulses in check, all children desperately distracting ourselves.

On profit, loss and the mysteries of the mind
11.5.02   Erica Goode
NY Times

"Kahnemanandtversky". Everybody said it that way. As if the Israeli psychologists Daniel Kahneman and Amos Tversky were a single person, and their work, which challenged long-held views of how people formed judgments and made choices, was the product of a single mind.
Last month, Princeton prof. Kahneman was awarded the Nobel in economics science, sharing the prize with Vernon L. Smith of George Mason University. But Kahneman said the Nobel, which the committee does not award posthumously, belongs equally to Tversky, who died of cancer in 1996 at 59.
"I feel it is a joint prize," Dr. Kahneman, 68, said. "We were twinned for more than a decade".

In Jerusalem, where their collaboration began in 1969, the two were inseparable, strolling on the grounds of Hebrew University or sitting at a cafe or drinking instant coffee in their shared office at the Van Leer Jerusalem Institute and talking, always talking. Later, when Dr. Tversky was teaching at Stanford and Dr. Kahneman at the University of British Columbia, they would call each other several times a day.
Every word of their papers, now classics studied by every graduate student in psychology or economics, was debated until "a perfect consensus" was reached. To decide who would appear as first author, they flipped a coin.

Wiry, charismatic, fizzing with intelligence, Dr. Tversky was younger by a few years. Dr. Kahneman, as intellectually keen, was gentler, more intuitive, more awkward. Together, the psychologists developed a new understanding of judgments and decisions made under conditions of risk or uncertainty.
Economists had long assumed that beliefs & decisions conformed to logical rules. They based their theories on an ideal world where people acted as "rational agents", exploiting any opportunity to increase their pleasure or benefit.

But Dr. Kahneman and Dr. Tversky demonstrated that in some cases people behaved illogically, their choices and judgments impossible to reconcile with a rational model. These departures from rationality, the psychologists showed, followed systematic patterns.
For example, the exact same choice presented or "framed" in different ways could elicit different decisions, a finding that traditional economic theory could not explain. In an oft-cited experiment, the psychologists asked a group of subjects to imagine the outbreak of an unusual disease, expected to kill 600 people, and to choose between two public health programs to combat it.

Program A, the subjects were told, had a 100 percent chance of saving 200 lives. Program B had a one-third chance of saving 600 lives and a two-thirds probability of saving no lives. Offered this choice, most of the subjects preferred certainty, selecting Program A.
But when the identical outcomes were framed in terms of lives lost, the subjects behaved differently. Informed that if Program A were adopted, 400 people would die, while Program B carried a one-third probability that no one would die and a two-thirds probability that 600 people would die, most subjects chose the less-certain alternative.

Over more than two decades, working together or with others, Dr. Kahneman and Dr. Tversky elaborated many situations in which such psychological "myopia" influenced people's behavior and offered formal theories to account for them.
They established, among other things, that losses loom larger than gains, that first impressions shape subsequent judgments, that vivid examples carry more weight in decision making than more abstract but more accurate information.

Anyone who read their work, illustrated, as one admirer put it, with "simple examples of irresistible force and clarity," was drawn to their conclusions. Even economists, unused to looking to psychology for instruction, began to take notice, their attention attracted by two papers, one published in 1974 in Science, the other in 1979 in the economics journal Econometrica. Eventually, the psychologists' work provided the undergirding for behavioral economics, the approach developed by Dr. Richard Thaler.
In a recent conversation, Dr. Kahneman, who carries both American and Israeli citizenship, talked about what happens when psychology and economics meet.

Q. Did you set out to challenge the way economists were thinking?
A. We certainly didn't have in mind to influence economics.
In the first years, economists, and philosophers, too, were simply not interested in the trivial errors that we as psychologists were studying. I have a clear memory of a party in Jerusalem around 1971, attended by a famous American philosopher. Someone introduced us and suggested that I had an interesting story to tell him about our research. He listened to me for about 30 seconds, then cut me off abruptly, saying, "I am not really interested in the psychology of stupidity".

Our work was completely ignored until our 1974 paper, which eventually had an impact on both economics and epistemology. Of course, we did not mind in the least because economists were not our intended audience anyway; we were talking to psychologists. It came as a pleasant surprise when others started to pay attention.

Q. Why is the rational model of human behavior so entrenched in economic theory?
A. There's a very good reason for why economics developed the way it did, and that is that in many situations, the assumption that people will exploit the opportunities available to them is very plausible, and it simplifies the analysis of how markets will behave.
You know, when you're thinking of two stalls next to each other selling apples at different prices, then you're assuming that the fellow who is selling them at too high a price is just not going to have customers.

So you get rationality at this level, and it buys a lot of predictive power by this assumption. When you are building a formal theory, you want to generalize that assumption, and then you end up making people completely rational.

Q. You and Amos Tversky are perhaps best known for prospect theory. Could you explain what this is based on?
A. When I teach it, I go back to 1738. In 1738, Daniel Bernoulli wrote the big essay that introduced utility theory. Utility really means pleasure more than anything else. The question that Bernoulli put to himself was "How do people make risky decisions?"
He analyzed really quite a nice problem: a merchant thinking of sending a ship from Amsterdam to St. Petersburg at a time of year when there would be a 5 percent probability of the ship being lost.

Bernoulli evaluated the possible outcomes in terms of their utility. What he said is that the merchant thinks in terms of his states of wealth: how much he will have if the ship gets there, if the ship doesn't get there, if he buys insurance, if he doesn't buy insurance.
Now it turns out that Bernoulli made a mistake; in some sense it was a bewildering error to have made. For Bernoulli, the state of wealth is the total amount you've got, and you will have the same preference whether you start out owning a million dollars or a half million or two million. But the mistake is that no merchant would think that way, in terms of states of wealth. Like anybody else, he would think in terms of gains and losses.

That's really a very simple insight but it turns out to be the insight that made the big difference. Because, if that's not the way that people think, if people actually think in terms of gains and losses and not in terms of states of wealth, then all the mathematical analysis that has been done which assumed people do it that way is not true. It took us a long time to figure it out.

Q. What kinds of things does prospect theory explain?
A. I think the major phenomenon we observed is what we called "loss aversion". There is an asymmetry between gains and losses, and it really is very dramatic and very easy to see.

In my classes, I say: "I'm going to toss a coin, and if it's tails, you lose $10. How much would you have to gain on winning in order for this gamble to be acceptable to you?"
People want more than $20 before it is acceptable. Doing the same thing with executives or very rich people, asking about tossing a coin and losing $10,000 if it's tails. And they want $20,000 before they'll take the gamble.

So the function for gains and losses is sort of kinked. People really discriminate sharply between gaining and losing and they don't like losing.

Q. How did prospect theory influence economists?
A. Correcting Bernoulli's error was influential, because it was picked up by Richard Thaler, who started behavioral economics. We provided cover for behavioral economics, because the challenge to the rational model was taken seriously and presented in a way that readers of the work found compelling.

But it's not as if this has swept economics. It hasn't, and for very deep structural reasons, it's not going to. The rational model has a hold on economics, and it's going to stay that way. Behavioral economists fiddle with it, improving the assumptions and making them psychologically sensible. But it's not a completely different way of doing economic theory.

Q. One of the things you are studying now is well-being. Does this connect in any way to economics?
A. I would like to develop a measure of well-being that economists would take seriously, an alternative to the standard measure of quality of life. We're attempting to measure it not by asking people, but by actually trying to measure the quality of their daily lives.

For example, we are studying one day in the lives of 1,000 working women in Texas. We have people reconstruct the day in successive episodes, as recalled a day later, and we have a technique that recovers the emotions and the feelings. We know who they were with and what they were doing. They also tell us how satisfied they are with various aspects of their lives. We know a lot about these ladies.

Q. What are you finding out?
A. I'll give you a striking finding. Divorced women, compared to married women, are less satisfied with their lives, which is not surprising. But they're actually more cheerful, when you look at the average mood they're in in the course of the day. The other thing is the huge importance of friends. People are really happier with friends than they are with their families or their spouse or their child.

Q. Why would divorced women be more cheerful?
A. So far, I don't understand it, but that's what the data says.

On the Genealogy of Morals ¹ and Ecce Homo
  Friedrich Nietzsche   sequel to Beyond Good & Evil, Nietzsche's 8th book; 3 essays revealing his opposition to Christian morality
… aristocratic radicalism, in which he sets up an opposition between the morality of the masters and what he terms "slave morality".
It is this "slave morality" motivated by a spirit of resentment that Nietzsche seeks to overcome by a return to the morality of the masters.

Nietzsche is firmly opposed to the Judeo-Christian tradition, which he views as the culmination of slave morality. According to Nietzsche, slaves sought to revolt against their masters by supplanting the morality of the masters with their own which glorifies the weak, meek, and sickly.
Instead, Nietzsche advocates a revaluation of all values with a return to the morality of the masters, who are proud, strong, and heroic.

The preface notes the slave rebellion in morality, in which a morality of pity came to replace the morality of the masters. Nietzsche references the work of Schopenhauer, his great teacher, who he believes has made possible a new Buddhism for Europeans, nihilism.
Jews have come to conquer Rome through the slave revolt in which today in Rome they bow before 3 Jews and a Jewess (Jesus, Peter, Paul, and Mary). Nietzsche claims that the Renaissance represented a return to the classical idea;

… however, with the Reformation motivated largely by resentment and the French Revolution, the slave revolt was made complete.

stupid meter photo
Device to measure one's stupidity
4.22.04   Victor Likhachev Pravda

The device to measure whether the person is stupid or clever, looks simple: 2 thick steel wires attached to the fur
  [ (sic)   Fir? ] cones on one side and to spiral on another side. The researcher's hands should not contact the wire metal, and, for this reason, inventor Mordovian University scholar Lev Galenkevich adjusted pencils to the wire.
Using stupiditymeter is simple. According to the inventor, one just should put the device close to the head of the researched person. Then the latter's energy will create moving impulse, and the wires will start rotating. The more turnovers the wire makes, the more intelligent the person is.

Lev Galenkevich used his friend for his first experiment. Then he measured his entire family. The researcher's colleagues were saying he was crazy, but asked him to measure their intellect as well. "I picked up the device description in ancient oriental manuscripts", said the inventor. "There are items sensitive to lepton fields in people. Some people can attract metal because of having strong lepton fields. This proves that the principle used in my device is valid".
The inventor said that the average level of intellect in a person is equal to 2.5 turnovers. He said that the students whom he teaches at University, have the lowest intellect. The wire makes one turnover at the students' heads, and not always.
One detail: the device cannot be applied to drunk & mentally ill people.

Brain development rate linked to IQ   ß ¹
3.30.06   Robt Lee Hotz L.A. Times

Smart children have a different rhythm in their heads, a seesaw pattern of growth that lags years behind other young people, say govt scientists who mapped the brains of hundreds of children. Seeking a link between neural anatomy and mental ability, researchers at the National Institute of Mental Health and McGill University in Montreal discovered it where they least expected, not in sheer brain size or special structures, but in the patterns of childhood growth.

Brain development in children with the highest IQ peaked 4 years later than among average children, the researchers reported Wednesday in the journal Nature.
"Smart children really do develop differently, and here is the first physical evidence of that," said UCLA neuroscientist Paul Thompson, an expert on imaging and brain development. "You'd think they'd develop faster and earlier than normal kids. The surprise is they don't."

Philip Shaw at the NIMH child psychiatry branch and his colleagues periodically scanned the brains of 307 healthy children from age 5 to age 19. To monitor the living brains, they used magnetic resonance imaging, which can detect the anatomical differences between gray matter, composed of neurons and other brain cells, and white matter, composed of the nerves that connect them. They gauged intelligence by giving each child standard IQ tests.

In general, every brain blossoms from a single cell in the womb, growing at a rate of 250,000 cells a minute until, by early childhood, it has more neurons and more connections between them than the average adult brain. Unused cells and synapses then atrophy and die.
When the researchers analyzed their images, they discovered patterns of brain development that differed depending on the child's age and IQ.

The scans revealed tell-tale waves of change that coursed through the brain's prefrontal cortex, a thick wrinkled carpet of cells that orchestrates memory, attention, perceptual awareness, language, reason and consciousness. "The story of intelligence is in the trajectory of brain development," Shaw said. "What differs with intelligence is the rate of these changes."
Among average children, those with an IQ measuring 83 to 108, the growth of the cortex peaked at age 8, while among those with high intelligence, rated with an IQ of 109 to 120, growth peaked at age 9.
The smartest children, those with IQs measuring 121 to 145, displayed a pattern of brain growth that peaked at age 11 or 12, the researchers said.

The anatomical scans revealed that among the most intelligent children, the cortex displayed the most prolonged period of growth and the most rapid rate of change. The cortex also was thinner in early childhood, grew thicker, then thinned more rapidly.
"There is something very dynamic about these brains," said NIMH child psychiatry branch chief Judith L. Rapoport. "What the intelligent children have is a very malleable brain."

By the teen years, however, the cortex could be seen to be thinning in all three groups and, by adulthood, the brains could no longer be distinguished by IQ differences, said NIMH brain imaging expert Jay Giedd.
"Even though they end up at pretty much the same place, the shape of the [development] curve and the age at which they peak is very different between the three groups," he said. "We would have missed it if we had looked at adults."

No single brain scan could reveal a child's IQ. The patterns only revealed themselves across a large group. The differences are measured in fractions of a millimeter of brain tissue that emerge over a decade or more.
"These are tiny changes," Shaw said. "But in brain terms, it is a lot."

No one knows whether such subtle developmental changes in the cortex are caused by the genes inherited from a child's parents, by the biochemical influences of life experience, or by the interplay of both.
"It is tempting to assume that this developmental change in brain structure is determined by a person's genes," said University of Oxford psychologist Richard Passingham, who wrote a commentary accompanying the Nature paper. "But one should be wary of such a conclusion."

Brainteaser: Scientists dissect mystery of genius
12.12.06   Sanjay Gupta, Caleb Hellerman CNN

Albuquerque NM   A young man in a white physician's coat and a bow tie is walking toward us down the sidewalk, a plastic five-gallon bucket swinging from his hand.
"That must be our brain," I say to my producer. We're at the Mental Illness and Neurodiscovery, or MIND, Institute, where they literally look inside the brain to try to spot creativity and genius. This independent research site, funded mostly with federal dollars, has perhaps the largest collection of sophisticated brain imaging devices in the world.
As a neurosurgeon, I don't normally slice brains open, right down the middle, so this will give me a different perspective. With pathologist Robert Reichard and Rex Jung, a psychologist at the MIND Institute who studies creativity, we head to the dissection room.

When looking for creativity inside a human brain, the first thing you notice is nothing unusual. Most scientists say that current brain imaging technology doesn't tell you much more.
"If I showed you two brains side by side, one with an IQ of 150, one with an IQ of 75, I can't tell the difference," says Jay Giedd of the National Institute of Mental Health, one of the most experienced researchers in the field.
But Jung and his colleague Dr. Richard Haier of the UCIrvine, claim they are on the verge of refining imaging techniques to a point that would make traditional intelligence tests obsolete.
"We can make quantitative assessments of how much gray matter they have in every single area, and we can use that to predict what their IQ might be," Haier says. "This is in the very early stage, and I think this is going to be very interesting."

Brain imaging remains in some ways as crude a tool as simply cutting open the brain and looking inside. Haier and Jung use magnetic resonance imaging (MRI) to measure various parts of the brain. Then they compare the pictures to intelligence scores on a verbal or pen and paper test.
So far, says Haier, he has found a strong correlation between intelligence and the size & shape of certain brain structures, including parts of the superior parietal lobe (involved in sensory perception) and parts of the prefrontal cortex (associated with complex thinking, personality, planning, coordination).

Intelligence research is full of surprises. For example, the brains of smarter people, as measured by IQ, tend to be less active but more efficient, Haier says. In a controversial paper, he contends based on structural MRI scans that men and women think differently. For men in Haier's study, having more gray matter in certain areas corresponds to a higher IQ, while in women, it made no difference.
But with women, the amount of white matter in completely different areas is what corresponds to intelligence. (In both sexes, gray matter is made up of neurons that process information, while white matter is made of the neurons that connect different parts of the brain).

While men and women may use different brain pathways to think, Haier says their average IQ scores are not significantly different. If confirmed and refined, the discovery could prove tremendously valuable to clinicians, including neurosurgeons.
"If a man and a woman both have a brain injury or a stroke at the same brain area, it could well be they have completely different effects," Haier says. "Or think about Alzheimer's disease. Alzheimer's disease begins deep in the brain and moves forward to the frontal part of the brain. If the frontal part of the brain is more important for intelligence in women, as it seems to be, then it may be the symptoms of Alzheimer's disease are not apparent until later in the disease process."
If that scenario holds true, it means women risk a delay in getting treatment, unless the changes are captured through some kind of screening.

The MRI is only one of the MIND Institute's research tools. An MRI is static, like a photograph. It's about form, while functional MRI, positron emission tomography (PET) and magnetoencephalography (MEG) reveal the brain's functions.
The MEG scanner works like a rapid-exposure camera, snapping a thousand pictures each second of electrical activity pulsing through the brain and across its surface. You can actually see a thought unfold in real time.
While it happens in the blink of an eye, Haier and Jung say that in more intelligent persons, the process is faster still.

traditional investing psychology:

Normal trader gets feedback from his daily winnings,
  a pleasing illusion of progress.
False assumption   risk = courage, courage is rewarded.

  • Conventionally a fairly large chance of making a small amount of money in a given day from dividends or interest or the general upward trend of the market.
  • Almost no chance of making a large amount of money in one day.
  • Very small, but real, possibility that, if the market collapses, we lose much.
  • We accept that distribution of risks because, for fundamental reasons, it feels right.

"The time to invest is when the market feels colder. People with passion don't pay attention to a downturn."
Gene Riechers; Valhalla Partners & founded
Friedman, Billings, Ramsey Group's venture arm
4.18.02   Wash.Post


IBM researcher eyes databases with a conscience
8.27.02   Martyn Williams
IDG News Service   ß

Most people don't think twice about offering any information to their doctor or physician, and possible misuse of the data won't keep them up at night worrying. But when supplying mundane personal information for storage in a computer database, the reaction is different. With headlines telling of purposeful & inadvertent data leaks and system intrusions, people are becoming increasingly aware of the amount of personal data held on them in myriad databases from govt agencies to credit card companies, their employer or even the local dry cleaners. An IBM researcher is hoping to change this mistrust by duplicating the basis of trust in physicians.

"I had been doing work in data mining; people were starting to worry about data mining becoming too powerful a technology," said IBM fellow & database project lead scientist Rakesh Agrawal at IBM's Almaden Research Ctr. "I was talking about this with my brother, Rajeev, who is a doctor; he said 'When we are studying to be a doctor, we take the Hippocratic oath. That is one of the biggest tenets in medicine'."
The oath is a wide-ranging code of ethics for doctors that includes a strong commitment to privacy, in part:
"Whatever in connection with my professional practice or not in connection with it I may see or hear in the lives of my patients … I will not divulge, reckoning that all such should be kept secret."

"I started wondering why databases cannot be like that," said Agrawal, who then set off to build a database system that had at its foundation a responsibility for the data it holds. The result is a blueprint for a Hippocratic database that not just specifies to users how & where the data collected will be used and where it will be shared, but crucially also includes a verification element to make sure the system is living up to its promises. Agrawal presented details of the system at the Very Large Databases 2002 conference in Hong Kong last week.
Here's how it works:

Before data is collected, types of information to be obtained and basic rules about how the data will be used are decided. These rules include who should have access to the data and how long it will be retained. When it comes time for a user to enter information, an application at the user end will interact with the database to check that its data privacy policies are acceptable to the user, who has already programmed their preferences into the application.
Once verified, data is transferred from the user to the database. "Right now, if you look at a database, they just keep records but there is no instructions about what you can do with the data. (With a Hippocratic database) when you collect data, you attach a reason for why you are collecting the data."

A customer's name, address and e-mail address might be required for the purpose of registration. Other information, such as a credit card number and details of purchases are also needed to fulfill the order. Some data sharing will also take place; customer name & address with the shipping co., and name & credit card number with credit card co.

Agrawal isn't the only person working on such a system. The World Wide Web Consortium (W3C) endorsed its Platform for Privacy Preferences (P3P) earlier this year and has won the support of industry & govt for the platform, intended to allow users to examine a site's privacy policy to ensure it matches their own preferences.
But that system lacks enforcement of the privacy policy, he said. "Making a database forget something is an extremely hard thing to do. The way (the W3C) standard is written, it does the initial check but after that there is no enforcement. We have started thinking about how to add enforcement."

The Hippocratic database sets limits on the amount of time the data can be used for the stated purposes, perhaps up to one month for issues directly related to the purchase, one year for recognizing customers when they return and 3 years for basic registration, then ensures the information is cleared from the database.
To date, Agrawal has succeeded in building the first part of the system into an IBM DB2 database and is now working on adding the enforcement support. "We will start prototyping it, developing a concrete application. I would also like to get into a customer partnership to get feedback," he said. "My guess is, we might have some parts ready in 1½ to 2 years."
Agrawal believes that companies will soon have to begin offering such privacy policies & promises if they want to do business with consumers. "At some point of time, this might become a competitive advantage," he said.


Hurrah for revolution and more cannon-shot!
 A beggar upon horseback lashes a beggar on foot.
  Hurrah for revolution and cannon come again!
    The beggars have changed places, but the lash goes on.

William Butler Yeats    Last Poems 1936-1939 The Great Day
Why we really enjoy getting revenge   ¹
9.5.04   BBC

According to new research from scientists at the University of Zurich in Switzerland, revenge is linked to the area of the brain associated with enjoyment & satisfaction.

The study: The Swiss researchers tested 7 pairs of men as they played a game that involved an exchange of money. The men were each given 10 units of money and told they could increase their winnings if they trusted one another. They could not see each other while they were playing.
Player No. 1 was given the option of keeping all his money or giving it to his opponent. If he kept it to himself, he didn't make anything extra, but if he gave it all to his opponent, the opponent's winnings would quadruple.
Player No. 2 was then asked whether he wanted to keep the money or share it with his opponent. If he failed to share it, the first player would be asked whether or not his opponent should be punished.
They were given one minute to make their decision, during which time the scientists monitored their brains using positron electron tomography, or PET, scanners.

results: If one of the men didn't play fair, he was usually punished by the other. In fully 6 out of the 7 cases, the opponent chose to reprimand the other player. During the reprimand, the dorsal striatum region of the brain was activated, an area known to be involved in feelings of enjoyment and satisfaction.
This same area lights up when someone who is in love sees a photograph of his beloved. "It suggests that there is a satisfaction associated with punishing norm violations: they have been cheated, they feel bad in that situation probably, and now by punishing, they feel less bad," study co-author Dr Ernst Fehr told the BBC News.

"Instead of cold, calculated, reason, it is passion that may plant the seeds of revenge," psychologist Brian Knutson of Stanford University wrote in a commentary accompanying the study findings that were published in the journal Science. He equated it to an aggressive driver who refuses to allow another car to pass in front of him in heavy traffic. "After squeezing back the intruder, you can't help but notice a smile creep onto your face," Knutson wrote in Science.

Anatomy of give & take   Economic theory goes only so far in explaining why people buy, sell, save or trust. Scientists are looking inside the mind for answers.
3.18.05 & Robt Lee Hotz
L.A. Times   ¹ ²

Houston   The two women had money in mind. Phuong Tang, 25, wriggled into a $2.5-million brain scanner at Baylor College of Medicine. Across the hall, a technician loaded Tang's trading partner for the day, Kavita Belur, 26, into the bore of a similar machine, like a fresh artillery shell.
The two strangers were speculators in a marketplace of the mind, locked in a mutual struggle for financial gain. Belur played an investor, Tang the trustee of an investment fund.

As the pair wavered between cooperation and betrayal, scientists recorded how their brains changed. The researchers hoped to discover the
secret of trust, the human variable missing from the mathematics of modern economics.
The terms of the experiment were simple: At the beginning of each round, Belur could put up to $20 in play. Any investment automatically tripled. Tang then decided how much to return and how much to keep.
Belur's safest strategy was to hoard all of her money. Tang's most logical move was to cheat her partner at every opportunity.

There was a riskier but potentially more profitable way. They could trust each other.
The experiment was part of a new frontier in the exploration of the brain, a field called neuro-economics that seeks to understand the biology underlying economic behavior. In universities and research centers across the country, scientists are probing the brain with coin flips, $5 bills and gift certificates from Amazon.com. Bit by bit, they are assembling a mosaic of the financial brain, identifying how competing neural circuits shape decisions.
"We have started looking for pieces of economic theory in the brain," said New York University neuroscientist Paul Glimcher.
Researchers believe they can discover how neural networks affect the ways people buy and sell, splurge and save. They hope one day to understand how decisions percolating through the brains of billions of people, often acting at cross-purposes, interact to chart the course of financial markets and national economies.

Inside the scanner, Belur made up her mind. She decided to gamble her entire nest egg on her trustee's goodwill. She pushed the button, putting her money in play.
With the ritual clang of the opening bell one day in Feb. 05, the NYSE's 5 trading floors abruptly surged in a whirlpool of profit and loss. Hundreds of brokers waved cellphones, fingered small computer keypads and placed their clients' orders. Fortunes winked into existence and just as quickly vanished.
In all, about 1.6 billion shares worth about $46 billion changed hands during the day in a ripple of deals coursing through the global equities market. The daily behavior of buyers and sellers is so complex that even experts in chaos theory have been unable to discern a predictable pattern.

In virtually every area of markets, human behavior has economists stumped.
"We don't know why stock prices go up and down," said Caltech economist Colin Camerer. "We don't know why savings rates are so dramatically different in different parts of the world. We don't know why there is labor market discrimination."
People trust other people when economic theory says they should not. They cooperate when betrayal seems more rational. They gamble foolishly, overestimating risk when losing, and underestimating it when winning. They spend too much and save too little.

Economists know all this from personal experience, but they don't know how to factor the quirks of human behavior into their mathematical models. This is no small matter. Efforts to set interest rates, revamp health insurance, privatize Social Security, revise pensions, police the sale of securities and alter legal liability rules rely to some degree on economists' ability to make reliable predictions about the choices people will make.
"Economics has hit the wall," said MIT's laboratory for financial engineering dir. Andrew Lo. "It has explained about as much as it can with the tools it has. There are too many inconsistencies between theory and data."

Pioneers in neuroeconomics believe the key to understanding economic behavior lies deep in the brain, at the level of cells and synapses. The brain is above all an economic engine forged by evolution through eons of scrounging for scarce resources, they argue. So the ability to trade things of value is the defining characteristic of the brain, the keystone of human character.
"Trade preceded agriculture; it preceded cities; it is a major component in human sociality. More than anything, it explains our success as a species," said George Mason University economist Vernon Smith whose work in experimental economics earned him a Nobel Prize in 2002.

    [ Precedence implies propriety of elevating trade in regard to neither moral virtue nor intrinsic nature of man the species. If game theory, manifested by biology or not, indicates cooperation trumps self-interest, withering of trade by surplant of collaboration driven by collective goals is the higher end. ]
Some experts suggest that stock markets and other financial exchanges, as creations of the human intellect, may mirror the biological networks in the brain. If only they can understand the brain, researchers believe, the mysteries of markets will be revealed.

Inside her scanner at Baylor, Tang made up her mind. She signaled her decision with a tap of a button. As the trustee, she had chosen cooperation. She split the proceeds of her partner's first investment evenly.
Isolated in the neighboring scanner, tracking her partner's decisions via icons on a computer screen, Belur had no way to know whether that choice was sincere or simply a strategy to encourage further investment until the odds would shift in favor of betrayal. Even so, Belur gambled. On the next round, she once more invested everything she had.
Again, her faith was repaid. Tang shared the profits equally.
Tang, who was working on her doctorate in human genetics at Baylor, was drawn to the experiment not by scientific interest in its outcome, but by the spending money she could earn as a volunteer. She had carefully planned how to win as much as possible in the experiment.
"I had a strategy," Tang explained later. "If she was nice to me, I would be nice to her. At the very last round, I would betray her."
Inside the Baylor scanner, Belur invested another $20. She signaled her decision, then awaited Tang's next move.

A team of researchers led by Read Montague, director of Baylor's Human Neuroimaging Laboratory, and Baylor neuroscientist Brooks King-Casas scrutinized the synapses of both women for cellular evidence of the relationship building up between them.
The researchers used technology developed at Baylor that allows scientists to monitor two or more brains simultaneously using functional magnetic resonance imagers linked through the Internet. For the trust experiment, funded by the Brown Foundation Inc. in Houston, the researchers often paired a volunteer in a brain scanner at Baylor with one at Caltech, more than 1,300 miles away. The researchers at Baylor and Caltech have conducted the experiment with 144 people, largest interactive brain-imaging study ever.

So little is known about the biology of decision-making that researchers had no theory to test. They wanted to gather as much data as possible during the financial interactions in the hope that signatures of brain activity might emerge.
"In this game, trust builds up, and it must exist somewhere in the brain," said Caltech neuroscientist Cedric Anen. "But there is not one event where we can say, 'That is trust.' We don't know when it starts, how it builds up or what is involved."
The results, so far unpublished, reveal that financial dealings seem to engage neural networks in the cingulate cortex, an area of the brain involved in switching between tasks, monitoring errors and short-term memory.

In sprays of light on a computer screen, the researchers could see how levels of activity shifted. Men typically showed the greatest activity in the seconds before making an investment decision, women in the moments before they revealed their decision to their trading partner.
In Belur's and Tang's paired brains, the offers and counter- offers, signaled by pushing buttons inside their linked scanners, triggered heightened activity along a crescent-shaped strip of brain tissue in the cingulate that appears to track responsibility for social interaction.

With each round of negotiations between the two women, a reputation for fair dealing took hold in their neural tissues.
"Trust is one of those few notions that underlies everything from individuals making decisions together to huge policy questions between nations," said Caltech's social cognitive neuroscience laboratory dir. Steve Quartz. "For a long time, we thought this was a state beyond measurement. The brain scanner is beginning now to put a yardstick up against it, to provide a measure for it."
In deconstructing the biology of trust, other researchers have determined that the brain appears to prize that bond between two people biochemically, secreting a powerful hormone to cement working relationships. The act of trust correlates with elevated levels of a brain hormone called oxytocin, the same chemical released during breast-feeding and uterine contractions, according to experiments done by researchers at Claremont Graduate University.

"It literally feels good to cooperate," said Center for Neuroeconomics Studies at Claremont dir. Paul J. Zak. As the hormone level rose, people also were more likely to reciprocate trust. "The stronger the trust, the more the oxytocin went up, and the more trustworthy you were. Interestingly, participants in this experiment were unable to articulate why they behaved the way they did," Zak said. "But nonetheless their brains guided them to behave in 'socially desirable' ways, that is, to be trustworthy."

When a decision forms, the brain moves faster than self-awareness. The brain unconsciously prepares to act a measurable length of time, up to 500 milliseconds, before a person consciously decides to act. In other words, the brain is always one step ahead of itself, calculating the potential costs and benefits of each choice at a cellular level.

"Most of the brain is dominated by automatic processes, rather than deliberative [thinking]. A lot of what happens in the brain is emotional, not cognitive," said Carnegie Mellon University behavioral economist George Loewenstein.
Some brain cells are especially sensitive to the potential rewards of decisions, research at Baylor and Emory University suggests. Brain cells that release a chemical called dopamine, which serves as a reward to reinforce behavior, actually anticipate snap decisions to help balance costs and payoffs. The cells secrete a burst of good feeling beforehand to underline the desirability of one course of action versus another.
These neurons respond selectively. Some react only to the possibility of something beneficial and others only to the reward itself, researchers at the University of Fribourg in Switzerland discovered.

Every brain is of two minds about the future.Two competing neural systems interact during choices that hinge on a conflict between short-term and long-term benefits, Harvard University researchers reported.
"Our emotional brain has a hard time imagining the future, even though our logical brain clearly sees the future consequences of our current actions," said Harvard economist David Laibson. "Our emotional brain wants to max out the credit card, even though our logical brain knows we should save for retirement."
Moral dilemmas can engage the same sense of fair dealing and mutual obligation as money matters. Researchers at Princeton University determined that synapses active during complex moral choices tapped into areas associated with rational thinking and also into regions aroused by strong emotion.
"Some of that emotional architecture affects decisions we make involving money," Zak said.

Critics have often argued that volunteers playing experimental games in brain scanners are no measure of real market behavior. So researchers led by Lo at MIT studied working traders during their normal business day. To measure brain activity indirectly, he wired 10 currency speculators at a Boston brokerage to sensors monitoring heart rate, breathing, blood pressure, body temperature and skin conductivity. By the end of the day, the traders had made 1,200 split-second trades, averaging $3 million to $5 million apiece.
His team plotted the biological indicators of stress, exuberance and tension against real-time profit and loss. He repeated the experiment at the Boston Stock Exchange.

Market trades, the sensors showed, were the stuff of sweaty palms, heavy breathing and pounding pulses. Snap judgments, honed by intuition, outweighed high-minded economic calculations. These were "gut" decisions.
Contrary to traditional economics, which considers only rational deliberation, such measures of market panic and exultation begin to document how involuntary emotions affect the rise and fall of stocks.
Already, preliminary findings about the balance sheet of the brain have scholars rethinking the meaning of money itself. The same reward circuitry activated by cocaine, sports cars, attractive faces and jokes is activated by money. Until now, economists have assumed that money was prized not for itself but only for what it could buy.
Moreover, the prospect of winning money activates specific brain regions in a way that the threat of losing it does not, researchers at Stanford University recently demonstrated.

Scientists are not sure how the electrical snap of synapses adds up to a financial decision, or how these insights might be assembled into a working theory of economic behavior.
"Sooner or later, you have to engage the issue of free will," said New York University scientist Glimcher. "When we finally understand the human brain, all human behavior will be predictable."

For 9 rounds, the 2 women played in perfect trust. Belur as the investor always put up the maximum possible. Tang, the trustee, in turn always equally divided the spoils.
Now, in the last round, the odds of betrayal reached their peak. They had both reached the moment when economic theory suggested that the optimal move was for the trustee to seize all the profits because there would no longer be any way for the investor to retaliate. Tang could cheat her partner without fear of reprisal.

The most rational move for Belur, therefore, was to refuse to risk any money in this last round, to end the game richer than her trading partner. The women balanced on the cusp of betrayal.
Belur gambled again and put her entire stake in play. The next 10 seconds of indecision seemed an eternity. For one last time, Tang evenly split the proceeds of the investment.
"Perfect cooperation every round," said Baylor neuroscientist Damon Tomlin, who was monitoring the experiment from the control room.
The two women eased themselves out of the scanners, stiff and a bit dazed.

Unknowingly, they had defied the rules of game theory. They should have betrayed each other at the earliest opportunity. Had trust hormones triumphed over the theorem of self-interest? By playing together in such harmony, each had earned 300 points, meaning each would be paid $30. Tomlin counted out the one-dollar bills from a small lock box. Tang eyed the growing stack of bills.
"If I had known it was the last round," she told Belur, "I would not have given you anything." Tang could not explain why she lost track of her strategy, and it puzzled her. There was no way she could know whether, in the instant of decision, the internal compass of her brain had altered her choice.

Study spots brain's selfishness 'off-switch'
10.05.06   E.J. Mundell HealthDay Reporter

Civil society may hinge on a tiny piece of tissue at the front of the human brain, a new study suggests. Experiments involving a "fairness" game show that the right side of this region called the dorsolateral prefrontal cortex helps people suppress selfish urges in obviously unjust situations, even at their own expense.
When researchers used a mild electric current to temporarily short-circuit this area, the law of the jungle quickly reasserted itself. People with disabled right-side dorsolateral prefrontal cortexes grabbed whatever money they could from lopsided transactions, even when they knew the deal they were getting was grossly unfair.

"They understood the unfairness of it all, but they simply couldn't inhibit their need for getting the money," said University of South Florida College of Medicine in Tampa Center of Excellence for Aging & Brain Repair dir. Paul Sanberg. Sanberg was not involved in the study, which is published in 10.6.06 issue of Science.
The Swiss and American team behind this research noted that, despite a long history of crime, wars and rapaciousness, human beings are innately cooperative. In fact, Homo sapiens is the only species to exhibit "reciprocal fairness", punishment of others' unfair behaviors, even in situations where doing so hurts the punisher.

This behavior is demonstrated in an oft-used tool in behavioral science called the "Ultimatum Game."
In this game, one player is given a set amount of money. He is then instructed to hand over, at his own discretion, a share of the money to a second player. Player 2 can either accept the amount offered or refuse the deal altogether, in which case both players receive no money.
When Player 1's offer is very low, for example, $2 out of a total of $20, it would still behoove Player 2 to accept the offer, since $2 is better than nothing. However, under normal circumstances, participants put in this position in the game overwhelming refuse such low offers, which they perceive as grossly unfair. Instead, they forfeit their own self-interest so they can "punish" Player 1.

Humans are highly socially evolved, and punishing unfairness "helps sustain cooperation in groups," said study lead researcher Ernst Fehr, director of Institute for Empirical Research in Economics at the University of Zurich.
Because more cohesive groups tend to have better survival prospects, humans who suppress their immediate urges end up on the "winning team," evolutionarily speaking. Fehr's group sought to find the seat of this selfishness-override in the brain.
In prior brain-imaging studies, the dorsolateral prefrontal cortex (DLPFC) lit up during the game, so the researchers focused there.

In the study, they had participants play the game under two conditions. In the first condition, the researchers passed a mild electric current through the right or left hemispheres of Player 2's DLPFC, temporarily deactivating these brain regions. Other participants took on the Player 2 role under sham conditions where no real electric current was flowing.

"The big surprise," Fehr said, "is that a relatively minor inhibition of the right DLPFC removes or weakens the subject's ability to override their self-interest."
Players whose right-side DLPFC's were "switched off" accepted even very low amounts of cash nearly half (45 percent) of the time even though they knew the offer was terribly unfair. But under normal conditions, barely one in 10 players accepted such insulting low offers, the researchers found.

The experiment shows that this part of the cortex "is clearly very important for our social behavior, our societal evolution," Sanberg said. The right side of the DLPFC helps people resist those strong urges for sex, money and general acquisitiveness that come from more primitive sites outside the cortex, he said.
"It provides modulation of those urges, so that you can have control over them," Sanberg added. "As we evolved, we somehow developed this control over our basic needs."

One intriguing line of research is whether the right-side DLPFC functions similarly in everyone, even hardened criminals or sociopaths.
"This is a very interesting question which we are just exploring now," Fehr said. "Preliminary results suggest that the right DLPFC has very different activation across individuals."
His team also noticed that the left side of the DLPFC also sprang to life during the game, although its role remains much more mysterious. "We are just in the process of studying this now," Fehr said.


Brain's Darwin machine   Scientists find evidence of a perpetual evolutionary battle in the mind. The process, they suspect, is the key to individuality.
4.11.06   Robert Lee Hotz L.A. Times   related series

La Jolla CA   Alysson Muotri was looking for brain cells that glow in the dark. With growing frustration, the 31-year-old Brazilian cancer biologist stared through his microscope at slides of brain tissue for any evidence his experiment had succeeded. His eyes ached.
Maria Marchetto, 28, took pity on her husband. Let me look, she said. In a darkened room at the Salk Institute for Biological Studies here, she began to scrutinize the tissue samples for firefly flecks of fluorescent light.
Together, the couple stalked an elusive sequence of DNA hidden in the heredity of every human cell. The wayward strand appeared to seek out developing brain cells and, like a virus, arbitrarily alter their genetic makeup.
In this way, it might be partly responsible for the infinite variety of the mind.

In debates over creationist doctrines, evolutionary biologists often are hard-pressed to explain how nature could make something as intricate as the human brain. Even Alfred Wallace, the 19th century biologist who discovered natural selection with Charles Darwin, could not accept that such a flexible organ of learning and thought could emerge by trial and error.
No two brains are exactly alike, despite their overall anatomical similarity. Each brain changes throughout a lifetime, altered by experience and aging. Even the simplest mental activities, such as watching a moving dot, can involve slightly different areas in different people's brains, studies show.

Underlying every personal difference in thought, attitude and ability is an astonishing variety of brain cells, scientists have discovered. Some neurons fire only when they perceive a straight vertical line, others when they are exposed to a right angle. Some respond to the emotions in a facial expression or to social cues. Others retain a memory long after conscious recollection has faded.
To respond so selectively to experience, each of these cells must vary incrementally from its neighbors, as singular as a face in a crowd.
Yet what could generate such diversity?

If Muotri's suspicion was correct, a peculiar string of biochemicals caused the billions of neurons in each person's brain to develop in distinctly different ways, so that even identical twins could develop minds of their own.
Muotri and Marchetto searched hundreds of slides for any sign that the DNA sequence had altered brain cells. Each tissue sample took an hour to analyze under ultraviolet light. When Marchetto closed her eyes, she could see the glowing afterimage of neurons. The spidery cells, she would say later, crawled through her sleep.

… researchers hope to learn how biochemistry becomes thought. Among the molecules of mental life, they are finding signs of an evolutionary struggle for survival.
In the womb, brain cells increase at a rate of 250,000 a minute. The total doubles after birth. By age 3, a child's brain, on average, has twice as many neurons and neural connections, and is twice as energetic, as an adult's.
Throughout developing brain circuits, neurons and synapses vie for sensory stimulation, the electricity of touch, vision, taste, hearing and smell. Some thrive, while others atrophy for want of exposure to life's raw experience, to be eliminated at a rate of thousands per second. By adulthood, more than half the neurons a brain possessed in early childhood will have died.

For many years, scientists were convinced that the brain quickly lost its ability to produce new neurons. But in the last decade, independent research teams at the Salk Institute led by Fred W. Gage and at Princeton University by Elizabeth Gould showed that even middle-aged minds generated thousands of new neurons every day in areas crucial to learning and memory.
Inside the Darwin machine of the brain, therefore, the survival struggle of neurons and synapses lasts a lifetime. In this competition, the forces of variation and selection that shape a species also sculpt each brain, neuron by neuron, creating the biological truth of individuality.
"The neurons are never identical", Muotri would say. "They are all slightly different".

Not so long ago, scientists were certain that genes dictated everything about the brain. But when researchers successfully analyzed the complete human genome 3 years ago, they discovered that it contained only 25,000 genes, not the 100,000 they had predicted. Indeed, less than 3% of the genome contained functional genes.
There wasn't nearly enough information in them to account for so many different brain cells and synapses. Something else had to be at work.

At the Salk Institute, Gage, 53, was consumed by the mystery of the new neurons he had discovered. In the brain's unexpected ability to renew itself, he saw the potential for repairing brain damage from maladies such as Alzheimer's disease or spinal cord paralysis.
Gage, boyish, unfailingly affable, with a trim, sand-colored mustache and a wave of blond hair that crested over a high forehead, was among the most influential neuroscientists of his generation. He orchestrated his laboratory's research efforts the way an impresario manages an opera company, artfully matching the ambitions of 30 scientists to questions that best challenged their abilities.

Gage deployed tools all but unheard of a generation ago, computerized gene micro-arrays, automated gene sequencers, genetically engineered animals. His working arrangements were also at the cutting edge.
One section of his Salk laboratory was set aside for experiments with stem cells from human embryos, where work could proceed independent of federal funding and unencumbered by federal policies that restrict such research.

In 2003, he co-founded Brain Cells Inc. to exploit his discovery that humans generate new brain cells throughout life. Almost immediately, 2 staff scientists in his Salk laboratory found that a curious DNA sequence muddled their efforts to discover how neural stem cells produced new neurons.
In one such experiment, the researcher hoped to learn how a particular gene affected the life cycle of a neuron. She altered mouse embryos to deactivate the gene. At first, these artificial rodents seemed normal enough. Yet upon close study, some of the creatures seemed dimwitted. A few had memory problems. Others had trouble learning.

Intrigued, the scientist compared the genetically engineered neurons to natural cells. The only major difference she could detect was the activity of this puzzling genetic sequence. Her experiments had taken 2 years. Crestfallen, she turned her attention elsewhere.
"At the time, we could not make heads or tails of it," Gage recalled. "We would have long discussions, but I could not get anyone interested in working on this."
Scientists called the curious genetic sequence a "jumping gene." It could move up and down the double helix of DNA to insert itself into the genetic structure, like a black snake crawling along a branch into a bird's nest.

Despite the name, the sequence was not a gene but a primitive precursor, called a long interspersed nuclear element, or LINE, that struggled for survival inside the microcosm of a cell. The LINE sequence belongs to a mysterious family of mobile genetic elements called retrotransposons.
For 600 million years, it existed solely to copy itself. All mammals contain such LINE sequences. But as species became more intelligent, they retained fewer types. No one knew why. Mice harbored 3,000 different kinds of LINE elements, rats 500. Humans had about 100 types that differed from one person to the next.

All told, there are as many as 850,000 copies of such junk DNA in the human genetic structure, composing almost half of every cell's heredity. Most researchers dismissed it all as the detritus of parasites, viral infections and evolution's failed experiments.
Unlike the other molecular relics littering the human genetic code, however, the particular human sequence that cropped up in the Salk laboratory, called an L1 LINE, was still on the move. So many thousands of times had it copied itself into the human genome that it now made up one-fifth of a cell's DNA.
Most copies were stranded far from any functional gene. Many were truncated, broken off like an aria interrupted by a cough. Every once in a while, the sequence landed close enough to a gene to disrupt its behavior or change its expression.

A single jumping retrotransposon is the reason that Great Danes, dachshunds, border collies and certain other domestic dogs have patchy black-and-tan coats, researchers at Texas A&M University recently reported. It landed in a gene that affects the color of dog hair.
But no one had ever heard of these DNA strands reweaving the genetic fabric of individual brain cells.

Gage asked Muotri to look into it. The Brazilian was a cancer geneticist, not a neurobiologist like most of the researchers in the Gage lab. Gage had recruited him to study brain diseases, drawn by his intellectual energy and persistent curiosity. When that project failed to materialize as expected, Muotri was open to a new question, even one outside his immediate field.
The idea of jumping genes didn't seem so strange to him. Such mutations were a rare cause of genetic disorders such as hemophilia and Duchenne muscular dystrophy. In a gray T-shirt, shorts and flip-flops, Muotri had the look of someone who came to La Jolla for the surf, not the science. He wore a carving of a hammerhead shark on a chain around his neck and a watch with three dials on his right wrist.
"I felt like an odd fish in the aquarium," Muotri would say later. "I decided to look with the cancer mind-set. Maybe I [would] learn something."

Gage invested more than $1 million in private funds, time and laboratory resources in the experiment. No federal agency would fund it.
"They probably think I'd gone off the deep end," Gage said later. "It was too wild."
Muotri and Gage wanted to know whether the L1 sequence was actually moving around in developing brain cells. Normally, the sequence copied itself into reproductive cells in the testes and ovaries, where a randomly remodeled gene might be passed to succeeding generations. The sequence did not seem active in any other type of cell in the body.

They could not experiment on people, so they inserted the human DNA into a custom-made brood of mice. To make the L1 sequence visible under a microscope, Muotri and his colleagues added to it a molecular tracer, a green fluorescent protein, that would light up whenever the DNA intruder entered a growing cell.
With a splinter of hollow glass, Muotri injected the sequence into mouse eggs, then transferred them into female mice, where he hoped the new DNA would take hold in growing embryos. Of 7 brown mice in the litter, 2 contained the altered human DNA. He bred those with wild mice to create a family in which the L1 sequence was poised to jump into any cell of the body. He ended up with 20 transgenic mice.

To search for evidence of brain activity, he sliced each mouse into wafers 40 microns thick and mounted tissue from every organ on slides. If the sequence had jumped anywhere, it should reveal itself, like a firefly at midnight, with a fluorescent glow. Searching the slides under ultraviolet black light was such an eyestrain that Muotri could only keep it up for about 4 hours a day.
At the same time, the fluorescence was depleted by exposure to ultraviolet. So the longer he looked, the fainter the light became. During a break halfway through one scanning session, Muotri browsed research articles in the Proceedings of the National Academy of Sciences. He stiffened.

At the University of Pennsylvania, a rival research team had already conducted his experiment and published the results: They examined the entire animal for signs that the sequence was jumping from cell to cell outside reproductive organs but failed to find any evidence of the brain activity that Muotri sought.
"They checked skin, they checked liver, they checked everything including the brain," Muotri recalled. "They looked for the same thing I was looking for and could not find it. They reported exactly the result I did not want to see."
The Brazilian brooded. By 2005, he had spent 2 years chasing the L1 sequence. His fellowship would run out soon. Should he abandon the experiment? What was the likelihood he might find something that skilled competitors had overlooked?

He ought to finish what he started, he decided, no matter how futile the effort. His wife lent a hand. Marchetto, red tank top, blue jeans and yellow hair, was a splash of primary colors against the laboratory's gray concrete walls. She knew little about neural anatomy. Her doctorate was in skin cancer biology. But she was more meticulous than her husband.
As her eyes learned the microscopic maze of synapses and support cells, she could see a glow inside the translucent spheres of brain cells.
"It was, like, crazy green," she recalled. First one cell, then five, 10, a dozen. She found the fireflies in the brain.
In the black light of the microscopy room, her brilliant smile was like the moon emerging from the clouds."Please," she said, calling her husband to the microscope. "This is a neuron."

They caught it in the act. To their wonder, the L1 sequence had left its distinctive mark wherever they looked in the mouse brains, throughout areas devoted to memory, learning, emotion, motor control and the senses.
They discovered that the sequence affected only developing brain cells. It also seemed to home in on neural genes, arbitrarily changing their behavior. Every time it affected a gene, it set that neuron apart from its neighbors in the brain and from all other cells in the body.
In the mouse experiment, the sequence jumped into one of every 100 brain cells. Unpublished data from follow-up experiments by colleagues suggest that in human cells, the sequence jumps into 80 of every 100 neurons.
"Every neuron may have a different genetic profile," Muotri said. "Almost all the cells have at least one L1 insertion."

The researchers were elated but puzzled. From the standpoint of conventional evolutionary theory, any independent genetic change in a neuron was a dead end. The random changes caused by L1 inside a brain cell could never be passed on directly through the genetic shuffle of sex.
At this point, Muotri and Gage had an audacious thought. Perhaps the sequence, striving for its own survival inside the growing neuron, made the brain more responsive to changing circumstances. Had natural selection seized on the one rogue sequence most useful for crafting an infinitely adaptable human brain?
"There are subtle differences in everything we do throughout our lives," Gage said. "Maybe this is how we generate a deeper adaptability to deal with the unexpected. "We believe the sequence is generating this diversity to fine-tune the brain".

When it comes to trust, a whiff of oxytocin can go a long way
6.2.05 Joseph B. Verrengia AP

Swiss and American scientists demonstrate in new experiments how a squirt of the hormone oxytocin stimulates trusting behavior in humans, and they acknowledge the possibility of abuse can't be ignored.
"Of course, this finding could be misused," said Ernst Fehr of the University of Zurich, sr researcher on the study that appears in today's issue of the journal Nature. "I don't think we have such abuses. However, in the future it could happen."

Other scientists say the research raises questions about oxytocin's potential as a therapy for conditions such as autism, in which trust is diminished. Or, perhaps the hormone's activity could be reduced to treat more rare diseases, such as Williams syndrome, in which children approach strangers fearlessly.
"Might their high level of trust be due to excessive oxytocin release?" asks University of Iowa neurologist Antonio Damasio, who reviewed the experiments for Nature. "Little is known about the neurobiology of trust, although the phenomenon is beginning to attract attention."

Oxytocin is secreted in brain tissue and synthesized by the hypothalamus. That small but crucial feature located deep in the brain controls biological reactions like hunger, thirst and body temperature, as well as visceral fight or flight reactions associated with such powerful, basic emotions as fear and anger.
For years oxytocin was considered a straightforward reproductive hormone found in both sexes. In both humans and animals, this chemical messenger stimulates uterine contractions in labor and induces milk production. In both women and men, oxytocin is released during sex.

Then, elevated concentrations of the hormone were found in cerebrospinal fluid during and after birth, and experiments showed it was involved in the biochemistry of attachment. It's a sensible conclusion, given babies require years of care, and the body needs to motivate mothers for the demanding task of childrearing. In recent years, scientists have wondered whether oxytocin is generally involved with other aspects of bonding behavior, and specifically whether it stimulates trust.
Trust is the glue of society and human interactions. Erase it, and you compromise everything from love to trade and political order.
"I once likened trust to a love potion," Damasio writes in Nature. "Add trust to the mix, for without trust there is no love."

In the experiments, the researchers tried to manipulate people's trust by adding more oxytocin to their brains. They used a synthetic version in a nasal spray that was absorbed by mucous membranes and crossed the blood-brain barrier. Researchers say the dose was harmless and altered oxytocin levels only temporarily.
A total of 178 male students from universities in Zurich took part in a pair of experiments. All the volunteers were in their 20s. They got the oxytocin or a placebo.
Researchers said they are performing a new round of experiments using brain imaging. "Now that we know that oxytocin has behavioral effects," Fehr said, "we want to know the brain circuits behind these effects."

Trust in a bottle
Nasal spray makes people more likely to place faith in another person. 6.1.05   Michael Hopkin Nature

Can you bottle trust? The answer, it seems, is yes. Researchers have produced a potion that, when sniffed, makes people more likely to give their cash to someone to look after.
A Swiss-led research team tested their creation on volunteers playing an investment game for real money. When they inhaled the nasal spray, investors were more likely to hand over money to a trustee, knowing that, although they could make a hefty profit, they could also lose everything if the trustee decided not to give any of the money back.

The potion's magic ingredient is oxytocin, a chemical that is produced naturally in the brain. Its production is triggered by a range of stimuli, including sex and breastfeeding, and it is known to be important in the formation of social ties, such as mating pairs and parent-offspring bonds. It is perhaps no surprise that the compound has been nicknamed the 'love hormone'.
Experts think that oxytocin exerts its range of effects by boosting some social behaviours: it may encourage animals or people to overcome their natural wariness when faced with a risky situation. The theory argues that people only decide to trust each other, when forming a sexual or business relationship, for example, when the brain's oxytocin production is boosted.

The researchers, led by Ernst Fehr of the University of Zurich, investigated whether this effect can be produced simply by getting people to inhale oxytocin rather than stimulating them to produce it. Such chemicals, they explain, can easily enter the brain when sniffed.
In the game, investors were allotted 12 monetary credits, each worth 40 Swiss centimes (32 US cents), and asked to decide how much to give to the trustee. The participants knew that the investment would be quadrupled, and that the trustee could then decide how much, if any, to hand back.

Investors were more willing to part with their cash when they inhaled the potion, Fehr's team reports in Nature1. Of 29 subjects given oxytocin, 13 handed over all of their cash. Only 6 of the 29 subjects given a placebo to sniff invested all 12 of their credits.
When the human trustee was replaced with a random number generator the effect disappeared. This shows, the researchers say, that oxytocin specifically boosts social interactions, rather than simply making people more willing to take risks.

Knowing more about how trust is encouraged could help with everything from business to the treatment of psychological conditions. Damping trust may be useful for people with Williams syndrome, for example, in which patients are overly friendly. "Increasing trust may be useful for people with social phobia or autism," Fehr adds.
Oxytocin is "easy and cheap to produce and it is easy to get it in drug stores, at least in Switzerland," Fehr says. So does that mean it could be pumped into the air in department stores by unscrupulous salespeople, turning us all into soft targets?

Perhaps, but it seems a trifle extravagant, says Antonio Damasio, a neurologist at the University of Iowa in Iowa City. Modern advertising already uses tricks to get us to trust a brand that probably make us boost our own oxytocin levels. "It lures you in with images of wonderful landscapes or sex, and it probably works in exactly the same way," says Damasio.


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