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		<description><![CDATA[Enjoyed this interview. Nice to see science looking at kindness and co-operation for a change. Reposted from Scientific American. Forget Survival of the Fittest: It Is Kindness That Counts David DiSalvo interviews Dacher Ketner Why do people do good things? Is kindness hard-wired into the brain, or does this tendency arise via experience? Or is [...]]]></description>
			<content:encoded><![CDATA[<p><span style="color: #000080;">Enjoyed this interview. Nice to see science looking at <em>kindness</em> and <em>co-operation</em> for a change. Reposted from</span> <a href="http://www.scientificamerican.com/" target="_blank">Scientific American</a>.</p>
<hr />
<h1><span style="color: #000080;">Forget Survival of the Fittest: It Is Kindness That Counts</span></h1>
<p><span style="color: #000080;"><strong>David DiSalvo </strong>interviews<strong> Dacher Ketner</strong></span></p>
<p><em>Why do people do good things? Is <a href="http://www.sciam.com/article.cfm?id=the-samaritan-paradox">kindness</a> hard-wired into the brain, or does this tendency arise via experience? Or is goodness some combination of nature and nurture?</em></p>
<p><a href="http://psychology.berkeley.edu/faculty/profiles/dkeltner.html">Dacher Keltner</a>, director of the <a href="http://socrates.berkeley.edu/%7Ekeltner/">Berkeley Social Interaction Laboratory</a>, investigates these questions from multiple angles, and often generates results that are both surprising and challenging. In his new book, <a href="http://www.amazon.com/Born-Be-Good-Science-Meaningful/dp/039306512X/ref=sr_1_1?ie=UTF8&amp;s=books&amp;qid=1235572849&amp;sr=1-1">Born to Be Good: The Science of a Meaningful Life</a><em>, Keltner weaves together scientific findings with personal narrative to uncover the innate power of human emotion to <a href="http://www.sciam.com/article.cfm?id=why-children-like-to-share">connect people</a> with each other, which he argues is the path to living the good life. Keltner was kind enough to take some time out to discuss altruism, Darwinism, neurobiology and practical applications of his findings with <a href="http://neuronarrative.wordpress.com/">David DiSalvo</a>.<br />
</em><br />
DISALVO: You have a book that was just released called <em>Born to Be Good: The Science of a Meaningful Life</em>. What in a nutshell does the term “born to be good” mean to you, and what are you hoping people learn from reading the book?</p>
<p>KELTNER: “Born to be good” for me means that our mammalian and hominid evolution have crafted a species—us—with remarkable tendencies toward kindness, play, generosity, reverence and self-sacrifice, which are vital to the classic tasks of evolution—survival, gene replication and smooth functioning groups. These tendencies are felt in the wonderful realm of emotion—emotions such as compassion, gratitude, awe, embarrassment and mirth. These emotions were of interest to <a href="http://www.sciam.com/article.cfm?id=darwins-living-legacy">Darwin</a>, and Darwin-inspired studies have revealed that our capacity for caring, for <a href="http://www.sciam.com/article.cfm?id=the-serious-need-for-play">play</a>, for reverence and modesty are built into our brains, bodies, genes and social practices. My hopes for potential readers are numerous. I hope they learn about the remarkable wisdom of Darwin and the wonders of the study of <a href="http://www.sciam.com/article.cfm?id=feeling-our-emotions">emotion</a>. I hope they come to look at human nature in a new light, one that is more hopeful and sanguine. I hope they may see the profoundly cooperative nature of much of our daily social living.</p>
<p>DISALVO: You’ve said that one of the inspirations for your work was Charles Darwin’s insights into human goodness. Because most people equate his name with “survival of the fittest,” it’ll probably be surprising to many that Darwin focused on goodness at all. What were a few of your take aways from Darwin’s work that really inspired you?</p>
<p>KELTNER: What an important question. We so often assume both in the scientific community, and in our culture at large, that Darwin thought humans were violent and competitive and self-interested in their natural state. That is a misrepresentation of what Darwin actually believed, and where the evolutionary study of human goodness is going.</p>
<p>My take aways from Darwin are twofold, and as you suggest above, I was surprised as well in arriving at an understanding of Darwin’s view of human nature. The first take away is found in <em>Descent of Man</em>, where Darwin argues that we are a profoundly social and caring species. This idea is reflected in the two quotes below, where Darwin argues that our tendencies toward sympathy are instinctual and evolved (and not some cultural construct as so many have assumed), and even stronger (or perhaps more ethical—see his observation about the “timid man” below) than the instinct for self-preservation:</p>
<p>“For firstly, the social instincts lead an animal to take pleasure in the society of his fellows, to feel a certain amount of sympathy with them, and to perform various services for them.  … Such actions as the above appear to be the simple result of the greater strength of the social or maternal instincts than that of any other instinct or motive; for they are performed too instantaneously for reflection, or for pleasure or even misery might be felt.  In a timid man, on the other hand, the instinct of self-preservation might be so strong, that he would be unable to force himself to run any such risk, perhaps not even for his own child.”</p>
<p>The second take away comes from close study of Darwin’s <em>Expression of Emotion in Man and <a href="http://www.scientificamerican.com/topic.cfm?id=animals">Animals</a></em>, published one year after <em>Descent of Man</em>. There, Darwin details descriptions of emotions such as reverence, love, tenderness, laughter, embarrassment and the conceptual tools to document the evolutionary origins of these emotions. That led me to my own work on the physiology and display of these remarkable emotions, and to the science-based conclusion that these emotions lie at the core of our capacities for virtue and cooperation.</p>
<p>DISALVO: You recently wrote an article with the provocative title “<a href="http://www.nytimes.com/2008/12/07/magazine/07teasing-t.html?em">In Defense of Teasing</a>.” Because we’re ostensibly a society set against teasing in any form (school, workplace, and so on), what do you think teasing has to offer that we might be missing?</p>
<p>KELTNER: Teasing is the art of playful provocation, of using our playful voices and bodies to provoke others to avoid inappropriate behaviors. Marc Bekoff, a biologist at the University of Colorado, Boulder, has found in remarkable work with coyotes that they sort out leaders from aggressive types in their rough-and-tumble biting. The coyotes that bite too hard in such provocative play are relegated to low status positions. We likewise accomplish so much with the right kind of teasing.</p>
<p>Teasing (in the right way, which is what most people do) offers so much. It is a way to play and express affection. It is a way of negotiating conflicts at work and in the family. Teasing exchanges teach children how to use their voices in innumerable ways—such an important medium of communication. In teasing, children learn boundaries between harm and play. And children learn empathy in teasing, and how to appreciate others’ feelings (for example, in going too far). And in teasing we have fun. All of this benefit is accomplished in this remarkable modality of play.</p>
<p>DISALVO: Your team at U.C. Berkley has done a lot of interesting research on the vagus nerve and its association with altruistic feelings. Tell us a bit about this research and its implications for better understanding the nature of altruism.</p>
<p>KELTNER: The vagus nerve is part of the parasympathetic autonomic nervous system.  It is a bundle of nerves that originates in the top of the spinal cord, it activates different organs throughout the body (heart, lungs, liver, digestive organs). When active, it is likely to produce that feeling of warm expansion in the chest, for example when we are moved by someone’s goodness or when we appreciate a beautiful piece of music. University of Illinois, Chicago, psychiatrist Steve Porges long ago argued that the vagus nerve is a care-taking organ in the body (of course, it serves many other functions as well). Several reasons justify this claim. The vagus nerve is thought to stimulate certain muscles in the vocal chamber, enabling communication. It reduces heart rate. Very new science suggests that it may be closely connected to oxytocin receptor networks. And it is unique to mammals.</p>
<p>Our research and that of other scientists suggests that the vagus nerve may be a physiological system that supports caretaking and altruism. We have found that activation of the vagus nerve is associated with feelings of compassion and the ethical intuition that humans from different social groups (even adversarial ones) share a common humanity.  People who have high vagus nerve activation in a resting state, we have found, are prone to feeling emotions that promote altruism—compassion, gratitude, love, happiness. Arizona State University psychologist Nancy Eisenberg has found that children with elevated vagal tone (high baseline vagus nerve activity) are more cooperative and likely to give. This area of study is the beginning of a fascinating new argument about altruism—that a branch of our nervous system evolved to support such behavior.</p>
<p>DISALVO: Oftentimes we learn about intriguing academic work being done on emotions, morality and related areas, but are left asking, “OK, but how do we do any of this? Is there anything we can make actual use of here?” Looking down the road, what do you want the impact of your work to be out in the world?</p>
<p>KELTNER: I have always felt that our science is only as good as the truthful rendition of reality that it provides and the good that it brings to our species. In summarizing the new science of emotion in <em>Born To Be Good</em>, I was struck by how useful this science is. The ancient approaches to ethics and virtue—for example, found in Aristotle or Confucius—privileged things such as compassion, gratitude and reverence. A new science of virtue and morality is suggesting that our capacities for virtue and cooperation and our moral sense are old in evolutionary terms, and found in emotions that I write about in <em>Born To Be Good</em>.</p>
<p>And a new science of happiness is finding that these emotions can be readily cultivated in familiar ways, bringing out the good in others and in oneself. Here are some recent empirical examples:</p>
<p>Meditating on a compassionate approach to others shifts resting brain activation to the left hemisphere, a region associated with happiness, and boosts immune functions.</p>
<p>Talking about areas of gratitude, in classrooms, at the dinner table or in the diary, boosts happiness and social well-being and health.</p>
<p>Experiences of reverence in nature or around morally inspiring others improves people’s sense of connection to others and sense of purpose.</p>
<p>Laughing and playing in the face of trauma gives the person perspective upon life’s inevitable difficulties, and improves resilience and adjustment.</p>
<p>Devoting resources to others, rather than indulging a materialist desire, brings about lasting well being.</p>
<p>This kind of science gives me many hopes for the future. At the broadest level, I hope that our culture shifts from a consumption-based, materialist culture to one that privileges the social joys (play, caring, touch, mirth) that are our older (in the evolutionary sense) sources of the good life. In more specific terms, I see this new science informing practices in almost every realm of life. Here again are some well-founded examples. Medical doctors are now receiving training in the tools of compassion—empathetic listening, warm touch—that almost certainly improve basic health outcomes. Teachers now regularly teach the tools of empathy and respect. Executives are learning the wisdom around the country of emotional intelligence—respect, building trust—that there is more to a company’s thriving than profit or the bottom line. In prisons and juvenile detention centers, meditation is being taught.</p>
<p style="text-align: center;"><span style="color: #000080;">© 2012 Scientific American, a Division of Nature America, Inc.</span></p>
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		<pubDate>Mon, 02 Jan 2012 17:09:32 +0000</pubDate>
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		<description><![CDATA[I believe Genius and Goodness are natural behaviors available to every healthy human. I think that these behaviors can become common if more humans understand how their brains and minds work. I am currently working on a book that will reveal the basis for my beliefs. You can see a brief preview here. Understanding Human [...]]]></description>
			<content:encoded><![CDATA[<p><span style="color: #000080;">I believe Genius and Goodness are natural behaviors available to every healthy human. I think that these behaviors can become common if more humans understand how their brains and minds wo</span>rk. <span style="color: #000080;">I am currently working on a book that will reveal the basis for my beliefs. You can see a brief preview </span><a href="http://synearth.net/Restricted-Confidential/Intelligence-Knowing-Enlightening.pdf">here</a><span style="color: #000080;">.</span></p>
<hr />
<h1><span style="color: #000080;">Understanding Human Intelligence and Knowing</span></h1>
<p><span style="color: #000080;"><strong>Timothy Wilken, MD</strong></span></p>
<p>I believe that it is possible for most humans to understand, and then master their intelligence fully. Those who choose to do so, can with practice, develop the ability to access all five modes of thinking: Survive, Adapt, Control, Create, and Co-Operate at will. With additional study and contemplation they can gain mastery of the four levels of knowing: Perception, Conception, Mechanism, and Consequence.</p>
<p>PERCEPTION is the understanding of space and sameness—spacial integrity— recognizing WHAT is associated with Good Space and WHAT is associated with Bad Space. PERCEPTION is also knowing WHERE to go to enable or avoid a recognized event—knowing WHERE to go to secure Good Space and WHERE to go to avoid Bad Space. PERCEPTION enables the ability of <strong>Adaptation</strong>.</p>
<p>CONCEPTION is the understanding of time and difference—temporal sequence—local cause and effect, and from that understanding knowing WHEN to act in time to encourage a desired event, or WHEN to act in time to discourage an undesired event from occurring. CONCEPTION enables the ability of <strong>Control</strong>.</p>
<p>MECHANISM is the understanding of HOW things work together—what events and actions are necessary to produce a desired resultant—knowing how PERCEPTION and CONCEPTION relate to each other. MECHANISM enables the ability of <strong>Creation</strong>.</p>
<p>And finally, CONSEQUENCE is the understanding of the potential risks and benefits of our actions and their effects on our selves and upon others. CONSEQUENCE enables the ability of <strong>Co-Operation</strong>.</p>
<p>Let me provide one example of these four levels of knowing, and how they might apply to one problem currently threatening our civilization. As Albert Einstein warned us over sixty-six years ago:</p>
<p style="padding-left: 30px;">“The splitting of the atom has changed everything save our modes of thinking, and thus we drift toward unparalleled catastrophe.”</p>
<p>Einstein had discovered one of Nature’s MECHANISMS: <strong>E=mc<sup>2</sup></strong></p>
<p>The scientists and technicians working at the Manhattan Project in Los Alamos, New Mexico used their KnowHow to weaponize this MECHANISM of Nature with the creation of nuclear bombs.</p>
<p>Now let us examine the threat of nuclear weapons from the perspective of our four levels of human knowing. PERCEPTION is the level of knowing necessary to <strong>adapt</strong> to a nuclear event —to <strong>know what</strong> is associated with a nuclear blast, and to <strong>know where</strong> to go to escape from the blast of a nuclear weapon. <strong>Where</strong> is Good Space? <strong>Where</strong> can I go to avoid Bad Space?</p>
<p>CONCEPTION is the level of knowing necessary to <strong>control</strong> a nuclear event  — to <strong>know when</strong> to act to either detonate, or deactivate a nuclear weapon. <strong>What</strong> is the proper sequence of actions to control the process? And, <strong>when</strong> to I enter the activation code? Or, <strong>when</strong> do I enter the deactivation code?</p>
<p>MECHANISM is the level of knowing necessary to <strong>create</strong> a nuclear event — to <strong>know how</strong> reality allows the forces of nature to interact and result in a nuclear explosion — E=mc<sup>2</sup>. And, it also is the level of understanding necessary to invent and manufacture the technology of a nuclear weapon — the Manhattan Project. <strong>How</strong> do I design a nuclear device?</p>
<p>And finally, CONSEQUENCE is the level of knowing necessary in order to <strong>co-Operate</strong> — to <strong>know why</strong> that we should never have created nuclear weapons in the first place. <strong>Why</strong> are we creating these devices? <strong>What</strong> will be the consequence of their existence?</p>
<p style="text-align: center;"><img class="aligncenter" 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" 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<p style="text-align: left;"><a href="http://synearth.net/Restricted-Confidential/Intelligence-Knowing-Enlightening.pdf">More&#8230;</a></p>
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		<pubDate>Sun, 25 Dec 2011 20:46:58 +0000</pubDate>
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		<description><![CDATA[. Happy Jesus of Nazareth Day! Go Be Reconciled With Thy Brother! The Golden Rule Timothy Wilken, MD Edward Haskell, a pioneer of synergic science, explained: “The first formulation of the MORAL LAW for a non-human “kingdom” of Universe was Dimitri Mendeleev’s discovery of the Periodic Law in 1869. “The properties of the chemical elements [...]]]></description>
			<content:encoded><![CDATA[<p><span style="color: #ffffff;">.</span></p>
<h1><span style="color: darkblue; font-family: Times New Roman,Times,Serif;">Happy Jesus of Nazareth Day!</span></h1>
<p><img src="http://www.jesus-web.org/kids/b_story/manger.jpg" alt="" width="391" height="286" /></p>
<p style="padding-left: 30px;"><span style="color: #000080;"><strong>Go Be Reconciled With Thy Brother!</strong></span></p>
<hr align="left" width="100%" />
<h1><span style="color: darkblue; font-family: Times New Roman,Times,Serif;">The Golden Rule</span></h1>
<h3 dir="ltr"><span style="color: darkblue; font-family: Times New Roman,Times,Serif;">Timothy Wilken, MD</span></h3>
<p dir="ltr"><em>Edward Haskell</em>, a pioneer of synergic science, explained:</p>
<p style="padding-left: 30px;">“The first formulation of the MORAL LAW for a non-human “kingdom” of Universe was Dimitri Mendeleev’s discovery of the Periodic Law in 1869. “The properties of the chemical elements are functions of their atomic weights.”</p>
<p style="padding-left: 30px;">“What Mendeleev’s discovery states for Atoms is that “As ye sow, so shall ye reap,” where “reaping” is the properties of the chemical elements and “sowing” is the co-Action between the atom’s two components ≠ its vast, light, electron cloud, and its tiny, massive nucleus.”</p>
<p style="padding-left: 30px;">Haskell’s analysis of the Atomic elements showed that these two components ≠ the electron cloud and the massive nucleus related in only three ways ≠ positive, neutral, or negative. Haskell called this the Moral Law of Unified Science.</p>
<p dir="ltr">For humans, the earliest formulation of the <em>Moral Law of Unified Science</em> appeared 3500 years ago as the doctrine of karma.</p>
<p style="padding-left: 30px;">“Hinduism began in India about 1500 BC. The belief in rebirth, or samsara, as a potentially endless series of worldly existences in which every being is caught up was associated with the doctrine of karma (Sanskrit: karman; literally “act,” or “deed”). According to the doctrine of karma, good conduct brings a pleasant and happy result and creates a tendency toward similar good acts, while bad conduct brings an evil result and creates a tendency toward repeated evil actions. This furnishes the basic context for the moral life of the individual.”</p>
<p dir="ltr">The doctrine of karma was accepted by Buddha ~500 BC and is incorporated in modern Buddhism today. It appeared in western thought ~300 BC, in the Old Testament of the Bible as the phrase:  <strong></strong></p>
<p style="padding-left: 30px;" dir="ltr" align="left"><em>“As ye sow, so shall ye reap.”</em></p>
<p dir="ltr">Two thousand years ago <em>Jesus of Nazareth</em> stated this law this way:</p>
<p style="padding-left: 30px;"><em>“Judge not, and you shall not be judged. Condemn not, and you shall not be condemned. Forgive, and you will be forgiven. Give, and it will be given to you: good measure, pressed down, shaken together, and running over will be put into your bosom. For with the same measure that you use, it will be measured back to you.“</em></p>
<p dir="ltr">Recall Universe is now understood to be process. Reality is a happening. Many things are going on all at once. Living systems ≠the plants, animals, and we humans all live within the EVENT paradigm. <em>Buckminster Fuller</em> defined an event to be a triad of related phenomena≠ <em>action</em>, <em>reaction</em>, <em>resultant</em>.</p>
<p dir="ltr">The dynamics of all behavior can be understood using these three concepts. Fuller discovered for every action there is a reaction, and a precessional resultant.</p>
<p dir="ltr">I can decide on an action. I can then implement my action. The environment including all life forms react to my action, the vector sum of the two (my action and the world’s reaction) produce a resultant. I act, the rest of the world reacts, and when it all settles down the change made by the interaction of the action and reaction is the resultant.</p>
<p dir="ltr">Now reformulating Haskell’s <em>The Moral Law of Unified Science</em> to include Fuller’s <em>Principle of Action≠-Reaction≠-Resultant</em>, we get:</p>
<p dir="ltr"><em>Adversary action</em> tends to provoke <em>adversary reaction</em> ending in an <em>adversary resultant</em>.</p>
<p dir="ltr"><em>Neutral action</em> tends to provoke <em>neutral reaction</em> ending in a <em>neutral resultant</em>.</p>
<p dir="ltr">And <em>synergic action</em> tends to provoke <em>synergic reaction</em> ending in a <em>synergic resultant</em>.</p>
<p style="padding-left: 30px;" align="left"><em>“As ye sow, so shall ye reap.”</em></p>
<p dir="ltr">We humans have three choices. We can sow adversary actions and reap adversary resultants. We can sow neutral actions and reap neutral resultants. Or we can sow synergic actions and reap synergic resultants.</p>
<p><strong><span style="color: #000080;">The First Synergic Scientist</span></strong></p>
<p dir="ltr">The first formulation of the <em>synergic corollary</em> of the <em>Moral Law of Unified Science</em> was:</p>
<div style="padding-left: 30px;" align="left"><em>“Do to others as you would have them do to you.”</em></div>
<p>This formulation is credited to <em>Jesus of Nazareth</em> who intuitively discovered the synergic way 2000 years ago. He gave us the rules for synergic relationship in his sermon on the mount.</p>
<p style="padding-left: 30px;"><em> ”You have heard that it was said, &#8216;You shall love your neighbor and hate your enemy.’ But I say to you, love your enemies, bless those who curse you, do good to those who hate you, and pray for those who spitefully use you and persecute you.  So go and be reconciled with thy brother.”</em></p>
<p>But, can we modern humans do this? Can North American whites love the South American browns? Can the Jews love the Arabs? Can the Northern Irish love the English? Can the Bosnians love the Serbs? Can the South African whites love the South African blacks?</p>
<p dir="ltr">Are we humans better able to love today? Have we learned enough in 2000 years—“To reconcile with our brother”?</p>
<p dir="ltr"><em>Jesus of Nazareth</em> may have been the first human to embrace synergy. His words seem to capture the very essence of synergic morality. Synergic morality is more than not hurting other, it requires helping other. Jesus was the first human to state the fundamental law of synergic relationship. It is known as the Golden Rule:</p>
<p style="padding-left: 30px;"><em>“So in everything, do to others what you would have them do to you, for this sums up the Law.”</em></p>
<p dir="ltr">What would you have others do to you? The best one word answer I can find for this question is <em>help</em>. <em>“Help others as you would have them help you.”</em> Synergic morality is <em>helping<strong><span style="color: darkblue;">.</span></strong></em></p>
<p dir="ltr"><em>Andrew J. Galambos</em>, in his lectures describing <em>Moral Capitalism,</em> often quoted the negative version of the Golden Rule:</p>
<div style="padding-left: 30px;" align="left"><em>“Do not do to others what you would have them not do to you.”</em></div>
<p dir="ltr">What would you have others not do to you?</p>
<p dir="ltr">Here the best one word answer is <em>hurt</em>. <em>“Do not hurt others as you would have them not hurt you.”</em></p>
<p dir="ltr">The negative version of the Golden Rule is true and correct as far as it goes. In fact, it is the underlying premise for the Neutral Morality found in the western world today. But, Synergic Morality requires more of us than simply not hurting. It requires more of us than simply ignoring others. It requires us to help others ≠ to help each other.</p>
<p dir="ltr"><em>Jesus of Nazareth</em> understood this on the deepest of levels. He called for more than a prohibition against hurting others. He asked all humans to help each other.</p>
<p dir="ltr">Synergic Morality is more than the absence of hurting. It is the presence of helping. Synergic Morality rests then on the premise≠ that when you help others, you will find yourself helped in return.</p>
<p dir="ltr">So whether you believe <em>Jesus of Nazareth</em> was the Christ foretold in the Old Testament, or just a man, his words bring wisdom to all of humanity.</p>
<hr />
<p>Read the essay: <a href="http://solutions.synearth.net/2011/12/working-together-1121/">What’s wrong with wishing others a Merry Christmas?</a></p>
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		<link>http://futurepositive.synearth.net/2011/11/front-page-619/</link>
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		<pubDate>Mon, 28 Nov 2011 06:18:55 +0000</pubDate>
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		<description><![CDATA[, GIFTegrity How a Win-Win Gift Exchange Works Timothy Wilken, MD Synergic science is the study of how things can best work together. It examines the processes of Light, Particles, Atoms, Molecules, the Plants, the Animals and we Humans. One of the discoveries of synergic science is that the best organizations–most efficient, most productive and [...]]]></description>
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<h1><span style="color: #000080;"><em>GIFTegrity</em></span></h1>
<p><strong><span style="color: #000080;">How a Win-Win Gift Exchange Works</span></strong></p>
<p><span style="color: #000080;"><strong>Timothy Wilken, MD</strong></span></p>
<p>Synergic science is the study of how things can best work together. It examines the processes of Light, Particles, Atoms, Molecules, the Plants, the Animals and we Humans. One of the discoveries of synergic science is that the best organizations–most efficient, most productive and most happy–are those where the participants have win-win relationships with each other.</p>
<p>From synergic science, a <a href="http://www.synearth.net/TensegrityHtml/Tensegrity.html">tensegrity</a> is the pattern that results when push and pull have a win-win relationship with each other. The pull is continuous and the push is discontinuous. The continuous pull is balanced by the discontinuous push producing an integrity of tension and compression. This creates a powerful self-stabilizing system.</p>
<p>We humans have <span style="color: #000080;"><strong>needs</strong></span> that are continuously pulling on us to be met. To meet these <span style="color: #000080;"><strong>needs</strong></span> we or an other, working on our behalf,  must take actions to meet these <span style="color: #000080;"><strong>needs</strong></span>. While our <span style="color: #000080;"><strong>needs</strong></span> continuously pull on us, <strong><span style="color: #000080;">actions</span></strong> are discontinuous pushes. Humans as the<img src="http://www.synearth.net/TensegrityHtml/imgs/spacer.gif" alt="" width="3" height="2" />interdependent class of life can have positive relationships with each other. We can form a gifting tensegrity, where we are continuously being helped,<img src="http://www.synearth.net/TensegrityHtml/imgs/spacer.gif" alt="" width="3" height="2" />and where we are<img src="http://www.synearth.net/TensegrityHtml/imgs/spacer.gif" alt="" width="4" height="2" />discontinuously<img src="http://www.synearth.net/TensegrityHtml/imgs/spacer.gif" alt="" width="3" height="2" />helping<img src="http://www.synearth.net/TensegrityHtml/imgs/spacer.gif" alt="" width="3" height="2" />others. For convenience, We can combine the two terms ‘gifting’ and ‘tensegrity’ into a shorter term <span style="color: #000080;"><strong>GIFTegrity</strong></span>.</p>
<p>The <strong><span style="color: #000080;">GIFTegrity</span></strong> is a newly invented mechanism for the exchange of human help. Let us begin by describing how a GIFTegrity might be structured and how it could work. Every member of a <span style="color: #000080;"><strong>GIFTegrity</strong></span> community would participate in two roles–as a <span style="color: #000080;"><strong>GIFTor</strong></span> and as a <span style="color: #000080;"><strong>GIFTee</strong></span>. Every member participates by both gifting help to others and by receiving help from others.</p>
<p>The continuous pull of the GIFTees’ needs are balanced by the discontinuous push from the GIFTors’ offers  of help. Again we see as an INTERdependent life form, there will be times when we will help others and times when others will help us.</p>
<p><img class="aligncenter" src="http://www.synearth.net/imgs/GiveHelpB.gif" alt="http://www.synearth.net/imgs/GiveHelpB.gif" width="485" height="485" /></p>
<p>The <span style="color: #000080;"><strong>GIFTegrity</strong></span> works on trust. I give help to those in need and trust that when I am in need there will be those who will give me help. Synergic Trust was discovered long ago, and was once known as:</p>
<p><span style="color: #000080;"><strong>The Spiritual Principle Of Giving And Receiving</strong></span></p>
<p style="padding-left: 30px;">“When we give to one another, freely and without conditions, sharing our blessings with others and bearing each other’s burdens, the giving multiplies and we receive far more than what was given. Even when there is no immediate prospect of return, Heaven keeps accounts of giving, and in the end blessing will return to the giver, multiplied manyfold. We must give first; to expect to receive without having given is to violate the universal law. On the other hand, giving in order to receive — with strings attached, with the intention of currying favor, or in order to make a name for oneself — is condemned.”</p>
<p>And while, <em>The Spiritual Principle of Giving and Receiving </em>relies on “Heaven to keep account of giving,” the GIFTegrity relies on a public database to keep account of giving and receiving. This database of the synergic help exchange is a public space where the exchanging of help is made visible to all members who are participants in good standing.When you join a Gift Tensegrity you sign in and register as a <span style="color: #000080;"><strong>Giftor-Giftee</strong></span>. You will fill out two profiles. The first profile is for your role as a GIFTor. Your GIFTor profile is the list of the types of help you would like to give or share with other members of the GIFTegrity.</p>
<p>The second profile is for your role as a GIFTee. Your GIFTee profile is the list of the types of help you would like to receive or borrow from other members of the GIFTegrity. A third profile will develop as GIFTor-GIFTee members use the GIFTegtity. This is the personal history of each member’s giving, sharing,  receiving and borrowing. This profile is transparent. It can be seen by all members who are participants in good standing. It shows all the gifts you have given, all the gifts you have shared, all the gifts you have received, and  and all the gifts you have borrowed as well as any comments made by you and your partner&#8217;s in the gift exchange.</p>
<p>Every exchange generates a GIFTor’s comment rating the GIFTee, and a GIFTee’s comment rating the GIFTor.</p>
<p>Now once a new member has completed their GIFTor and GIFTee registration and entered all their data into the data base, the computer helps the members sort and matche gifts of help with needs for help.</p>
<p>Within the GIFTegrity, the role of GIFTor is active. The role of GIFTee is passive. This means that once the computer has completed sorting and matching registered gifts of help with registered needs of help, the lists of matches are presented to the GIFTor. These matches are not available for viewing by the GIFTee.</p>
<p>The list of matchs can be sorted with those who have the highest ratio of giving/receiving and most positive comments being sorted higher on the list than those who have lower ratio of giving/receiving and negative comments. Or the member can sort them in the exact opposite way. Control of gifting lies totally within the control of the GIFTor. You may choose to support those who have given the most to the GIFTegrity community or you may choose to support those who have given the least. The choice of who and when to gift to other belongs the one gifting. The needs and gifts database can be sorted in multiple ways, as the members like.</p>
<p><span style="color: #000080;"><strong>Freedom of Choice in the Synergic Help Exchange</strong></span></p>
<p>However, the Giftor is free to offer his gift to anyone on the list regardless of the order presented. The Giftor is in control of his giving. Once the Giftor has made his choice and selected a Giftee to receive his offer of help, then the Giftee is notified that an offer of help has been made.</p>
<p>The Giftee is then presented with a list of offers of help from those Giftors that have selected them for offers. With these offers of help comes access to the profiles of the offering Giftors. The giftee is then free to examine the offer carefully, read the profile of the Giftor and decide whether to accept the offer or not.</p>
<p>Freedom of choice is an absolute tenant of the GIFTegrity. The GIFTor decides when and to whom to offer a gift of help. The GIFTee decides when and from whom to accept a gift offer of help. GIFTors are unknown to GIFTees unless the GIFTor offers help. The GIFTee is under no obligation to accept an offered gift. At this point the GIFTee may contact the GIFTor with questions or clarifications about the offer. If the GIFTee accepts the offer, than that action is recorded as a synergic help exchange and both profiles are updated. Both GIFTor and GIFTee can make comments about the interaction then or at a later time if more appropriate. If the GIFTee declines the offer of help, the GIFTor is notified so they can offer their help to some other member of the GIFTegrity.</p>
<p><span style="color: #000080;"><strong>What you might give or receive</strong></span></p>
<p>How do you registering the types of help you might choose to give or like to receive? It would seem that almost any good or service could be exchanged in a <em>synergic help tensegrity</em>. I would suggest <span style="color: #000080;"><strong>four general classes</strong></span> of Gifts as a way of organizing the data base. Also considerations of Local, Regional and Global come into play.</p>
<p><span style="color: #000080;"><strong>1) Goods</strong></span> – THINGS: Tools, Appliances, Equipment, Automobiles, Trucks, Tractors, Lawnmowers, House Furniture, Household Goods, Furnishings, Materials, Supplies, etc., etc., etc..</p>
<p>And, you can give these things away fully or only gift the use of them for a specified time. Location is very important for the gift of using a tool or appliance, perhaps less important if the item is given away fully. Shipping costs might make a difference, but you can Gift an item with the provision that the Giftee pay shipping.</p>
<p><span style="color: #000080;"><strong>2) Actions</strong></span> – SERVICES: Projects, Labor (skilled and unskilled), Jobs and Tasks.</p>
<p>This could be as simple as baby sitting, or giving someone a ride to as complex as building a room on someone’s house or writing a custom software program, etc., etc., etc.. It could be a million and one different forms of helping provided by humans in action. Location is very important. Many services would only available locally.</p>
<p><span style="color: #000080;"><strong>3) Knowing</strong></span> – KNOWLEDGE: Expertise, Consultations, Counseling, and Advise.</p>
<p>Those humans with expertise in almost any field can make that expertise available to others as a gift. Physicians, Attorneys, Accountants, Engineers, Scientists, Teachers, etc., etc., etc.. Location may be less important with telephone and internet communication.</p>
<p>Knowing can also be available in the form or books, art, courses, online files, etc., etc., etc.. Location may be less important with telephone and internet communication.</p>
<p><span style="color: #000080;"><strong>4) Compassion</strong></span> – KINDNESS: Empathy, Sympathy, Love, and Support.</p>
<p>Compassion is a very personal form of gift. It is the most human of gifts.  Compassion can come in many forms. It may just be lending an ear, holding space with another, or holding someone&#8217;s hand. Those humans with experience of the difficult challenges encountered in life  can share the lessons they have learned from those challenges with others as a gift. Those that have lost the most, have often learned the greatest lessons. Those that have faced Death in the form of Cancer, Major Injury or Illness, and those that have lost loved ones &#8212; children, spouses, or parents, may be best prepared to help their fellow humans who face similar challenges.</p>
<p>Because the personal touch is so powerful with Compassion, this gift is often best given locally, but location may be less important with the growing power of internet communication &#8212; such as Skype and FaceTime.</p>
<p><span style="color: #000080;"><strong>Conditional Gifting</strong></span></p>
<p>You can gift anything with conditions. A gift is an offer of help. The GIFTee is under no obligation to accept the offer. Synergic exchange is fully voluntary. The GIFTor makes offers of help when and to whom he chooses. The GIFTee accepts offers of help when and from whom they choose. Conditions of gifting is both intelligent and synergic.</p>
<p>Things that are gifted can be new or used. Working or not working. The important thing is to describe the offered gift accurately. A television repairman might like the gift of an old TV, that he will repair and use or gift to someone else.</p>
<p>Many of us have tools that we only use occasionally. If I gift the use of a tool for a weekend, I may do so with the condition that it be returned in clean and in good condition.</p>
<p>Since your giving-receiving profile is based not on the number of gifts offered, but rather on the number of gift offers accepted, it is of great importance to have a good relationship with the GIFTee. That means your descriptions of an offered gift needs to be very accurate. No one will be criticized for gifting junk as long as they describe it accurately as junk. Those seeking junk will be happy. Remember one man’s junk is another man’s treasure.</p>
<p><span style="color: #000080;"><strong>Transparency in the GIFTegrity</strong></span></p>
<p>Your ranking on the help offer lists is determined in part by your ratio of giving-receiving. Every time your offers of help are accepted your ratio goes up. Those who give the most to others will probably be the most honored members in the community of the GIFTegrity. So you will want to give as much as you can. Likewise every time you accept a gift offering from others your ratio goes down. So you will want to accept others gifts carefully and only when you truly value  and need them. The purpose of synergic help exchange is to help our fellow members meet their needs. The accumulation of things, you really don&#8217;t need or want is best left in the world of MARKET.</p>
<p>Within the GIFTegrity community all giving and receiving is transparent. However the GIFTor decides to whom and when to gift. They may give to the most generous of members or the least generous. The choice is theirs.</p>
<p>The other factor in effecting your ranking on the help offer lists is your comment mean. This the average score for comments made about you during help exchanges. Every encounter will be rated. ten (10) for it couldn’t have been any better to zero (0) if couldn’t have been any worse. To be successful in the GIFTegity community you need to give and interact in a positive way with other members. This means you want to accurately describe your offered gifts and make sure those accepting your gifts get what they expect from your descriptions. You also want to be courteous and friendly in your encounters. If you have an encounter that earns you a low comment from an exchange partner, you will want to repair that encounter as quickly as possible so that that exchange partner will modify or withdraw their low comment.</p>
<p>For instance, if I gift a used computer to someone and it doesn’t work as described, I need to be willing to take it back at my expense if the GIFTee paid for shipping. Or pay for disposal and give up my credit for the gift. Remember, every exchange effects ratio of giving-receiving for both the giftor and giftee.</p>
<p><span style="color: #000080;"><strong>Gifting – Local, Regional &amp; Global</strong></span></p>
<p><span style="color: #000080;"><strong>Compassion</strong><span style="color: #000000;"> is often best gifted locally, but with the internet and modern communication devices, I can help people all over the world.</span></span></p>
<p><span style="color: #000080;"><strong>Knowing</strong></span> is also available as a global, regional or local gift.</p>
<p><span style="color: #000080;"><strong>Human action</strong></span> will usually need to be local, occasionally regional, and rarely global.</p>
<p><span style="color: #000080;"><strong>Goods</strong></span> and especially the <span style="color: #000080;"><strong>use of tools</strong></span> will mostly be local. However, it may make sense to gift a major appliance or automobile regionally. And rarely, smaller lighter items might be shipped globally especially if they are unusual one of a kind.</p>
<p><span style="color: #000080;"><strong>Bringing Dead Wealth to Life</strong></span></p>
<p>One major advantage of the GIFTegrity is that it resurrects Dead Wealth. Dead Wealth is that wealth within the human community that is not being used to help self or others. Dead Wealth is found in all four forms – Compassion, Knowing, Action and Goods.</p>
<p><span style="color: #000080;"><strong>Compassion</strong></span> – All of us have benefited at some time in our lives from the gift of compassion. We know that it is often the best gift to receive and give. The GIFTegrity expands our ability to gift and receive this most special gift.</p>
<p><span style="color: #000080;"><strong>Knowing</strong></span> – Almost all of us have significant expertise in some areas. Some knowledge of how to solve problems that we have encountered in our lives. However, in our present world we trade the hours of our lives to others for just enough money to earn our livings. Our employers don’t want our expertise and knowledge unless it applies to the limited task they hired us to perform. Yet in the larger context of community our unwanted expertise and knowledge could help others. The GIFTegrity gives us an outlet for sharing that expertise and knowledge.</p>
<p>Again, this might be in the form of knowing and action joined together such as consultations, couseling, analysis and real time problem solving, or it may be available in the form of knowing and levers such as reports, books, video or audio tapes, artwork, photos, computer files, etc., etc., etc..</p>
<p><span style="color: #000080;"><strong>Action</strong></span> – We all have some hours in our lives that could be available to help others. The Gift Tensegrity gives me an outlet for all of those other skills and abilities that I am not currently trading to some employer for money. Some of us can do home and automobile repair, handyman work, cleaning, cooking, sewing, child and elder care, teaching, etc., etc., etc..</p>
<p>Or, it might be that if we knew what help others needed, we could combine their errands with our own when we are out running around anyway. The Gift Tensegrity allows you to quickly find out how you can turn those wasted hours into help for others.</p>
<p><span style="color: #000080;"><strong>Goods</strong></span> – And finally, we all have lots of perfectly good things we have in boxes in our garages, attics, and closets. Used tools, appliances, furniture, clothing, furnishings– things we never use but are too good to throw away. Now they can be easily liberated by simply describing them accurately and gifting them away. Or how about just gifting away the use of some those great tools you only use one day a week or one day a month.</p>
<p><span style="color: #000080;"><strong>GIFTegrity Servers – Local, Regional &amp; Global</strong></span></p>
<p>Because so much of our need for help is a need for local help. I see the need to establish Neighborhood GIFTegrities. This is where you will get help with household repair, automotive service, child and elder care, transportation, etc., etc., etc..</p>
<p>I envision this being started when someone with the time and interest decides to gift the use of their home computer and DSL line to run a neighborhood GIFTegrity Database. Then anyone in the neighborhood could use a computer with dialup connection to the internet to connect to the local GIFTegrity and enter into synergic help exchange.</p>
<p>These Local GIFTegrities servers would then be linked to Regional Gift Tensegrity servers which in turn would like to Global Servers. This would lead to a disseminated system with high level of redundancy.</p>
<p>This system will work easily with today’s home computers and off the shelf database software.</p>
<p><span style="color: #000080;"><strong>Need Help – Look First to the GIFTegrity</strong></span></p>
<p>The GIFTegrity is a synergic help exchange. And as INTERdependent form or life, we all need help. As a synergic help exchange that means that the relations between the members of that exchange will be synergic. Remember synergic relationships are those that make me more productive, more effective, and more happy. When I need help, this is where I will look first.</p>
<p>In the beginning the gifting tensegrities will not instantly replace the fair market. It will begin as simple an alternative to the fair market. I will begin to meet some of my needs at the GIFTegrities. As I begin gifting and finding that some of my needs are met this way. I will have less need to sell the hours of my life for money to use in the fair market.</p>
<p>Once I am gifting 10 hours a week.I will then be able to reduce my working week from 40 to 30 hours. This is how the transition will occur.</p>
<p><span style="color: #000080;"><strong>Out of Work – Look to the the GIFTegrity</strong></span></p>
<p>The gifting tensegrities can be enormously important to those individuals finding themselves out of work. When there is no market for the hours of your life. There is still no shortage of people who need your help. The gifting tensegrities acts as an immediate outlet for those with help to Gift, but no market for their help to Sell.</p>
<p>In fact the GIFTensegrity becomes a new type of insurance for all humans who are at risk for losing their jobs. In this society, that is all of us.</p>
<p><span style="color: #000080;"><strong>GIFTegrity – Not Just for Individuals</strong></span></p>
<p>Synergic TeamNets are groups of individual humans that form themselves into Synergic Teams for the purpose of performing a larger and more complex task than they can perform as individuals. These individuals co-Operate through a network based on synergic relationships and synergic compensation mechanisms to accomplish those larger and more complex tasks. Barry Carter has written extensively about this concept in his book Infinite Wealth. And, I have developed a mechanism for organizing Synergic Production Teams called the <a href="http://www.synearth.net/Restricted-Confidential/OT.pdf">Ortegrity</a> which is available elsewhere.</p>
<p>TeamNets can register with a gifting tensegrity and list the Needs of their TeamNet Project. They may be able to attract the help they need thought the free synergic gift exchange, or they can attract help, by inviting others to join their team for Synergic Revenue Shares if the project produces revenue.</p>
<p><a href="http://www.synearth.net/Restricted-Confidential/Gift/Gift_Tensegrity.html">Read the Scientific Basis for the GIFTegrity</a></p>
<p><a href="http://futurepositive.synearth.net/giftegrity-specifications/">Specifications for a GIFTegrity</a></p>
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<p><span style="color: #000080;"><strong>Economist Wayne F. Perg, Ph. D writes:</strong></span></p>
<p style="padding-left: 30px;">“My concept and understanding of the GIFTegrity is one of a radical move away from trade-oriented or materialistic sort of exchange.</p>
<p style="padding-left: 30px;">“In the GIFTegrity there is no accounting, there are no prices, there is no barter (no tit for tat), and there is no medium of exchange! For me, it is the road to a post-monetary, post-barter economy.</p>
<p style="padding-left: 30px;">“Barter and monetary economies both tie together giving and receiving. One cannot be done in the absence of the other. It is this “tying together” that is the ultimate source of “dead resources” and unemployment.</p>
<p style="padding-left: 30px;">“The GIFTegrity frees giving from receiving and receiving from giving and will, as it is implemented, bring all resources to life and eliminate unemployment.</p>
<p style="padding-left: 30px;">“The GIFTegrity does this by creating transparency, i.e., by creating good information on the SEPARATE giving and receiving actions of all members of the gifting tensegrity. Because there is no trading, only gifts given with no requirment of payment, there are no market prices and no accounting of trades. What there is is an open exchange of information on needs and resources available to fill those needs and ongoing individual negotiations around actions that will meet those needs.</p>
<p style="padding-left: 30px;">“I see the GIFTegrity bringing the exchange relationships of a living organism to human society. As Elizabet Sahtouris has pointed out, the heart does not hold an auction for the supply of oxygenated blood and it does not withhold blood from those organs who are currently unable to pay.</p>
<p style="padding-left: 30px;">“I see the GIFTegrity as a powerful new vehicle for first supplementing and then eventually replacing our present exchange economy that relies on money and barter to facilitate exchange.</p>
<p style="padding-left: 30px;">“I see the GIFTegrity as a powerful step forward from money systems and barter because it separates the acts of giving and receiving whereas both money systems and barter tie giving and receiving together into formal exchange transactions. It is this tying together of giving and receiving that creates “landlocked” resources and unemployment.</p>
<p style="padding-left: 30px;">“I do not see the GIFTegrity replacing informal, undocumented and recorded giving and receiving within families, groups and communities within which all participants are known to each other and within which trust is well established. In fact, I see the operation of the Gift Tensegrity increasing the number and size of the groups within which informal, undocumented giving and receiving is the norm.</p>
<p style="padding-left: 30px;">“It is my understanding that, in the GIFTegrity, I do not make any commitment to giving in advance. As a giver, I have access to information on the needs of those who are seeking what I have to give, but potential receivers of my gifts have no access to me as a giver until I offer my gift to that person, organization, or community to which I decide that I would like to give.</p>
<p style="padding-left: 30px;">“Also, given my big picture vision for the GIFTegrity, I see givers and receivers including organizations (including for-profit businesses) and communities as well as individuals.”</p>
<hr />
<p><a href="http://www.synearth.net/Restricted-Confidential/Gift/Gift_Tensegrity.html">Read the Scientific Basis for the GIFTegrity</a></p>
<p><a href="http://futurepositive.synearth.net/giftegrity-specifications/">Specifications for a GIFTegrity</a></p>
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		<description><![CDATA[This is my entry as it was submitted to the Buckminster Fuller Challenge on October 24th, 2011. The 2012 Buckminster Fuller Challenge Enlightened CommUnity Timothy Wilken, MD . Summarize your proposal: We propose to create a working prototype for Enlightened CommUnity. This prototype will be structured to support enlightened human behavior — kindness, compassion, calmness, [...]]]></description>
			<content:encoded><![CDATA[<p><span style="color: #000080;">This is my entry as it was submitted to the</span> <a href="http://challenge.bfi.org/" target="_blank">Buckminster Fuller Challenge</a> <span style="color: #000080;">on October 24th, 2011.</span></p>
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<h1><span style="color: #000080;">The 2012 Buckminster Fuller Challenge</span></h1>
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<h1><span style="color: #000080;">Enlightened CommUnity</span></h1>
<p style="text-align: left;"><span style="color: #000080;"><strong>Timothy Wilken, MD</strong></span></p>
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<div><strong>Summarize your proposal:</strong></div>
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<p>We propose to create a working prototype for <em>Enlightened CommUnity</em>. This prototype will be structured to support enlightened human behavior — kindness, compassion, calmness, peace, tranquility, intelligence, genius, wisdom, and goodness among our members. Who will work together utilizing the principles of <em>Synocracy</em> and <em>Sociocracy</em> to insure synergic harmony.</p>
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<div><strong>Describe the critical need your solution addresses:</strong></div>
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<p>Our human species is in crisis. Every human knows we are in crisis. The evidence is all around us and fills the stories of our daily lives. Our crisis is fully human made. There is only one solution — that we <em>work together</em> and <em>act responsibly.</em></p>
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<div><strong>Explain your initiative in more depth and its stage of development</strong>:</div>
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<p>Our current human behavior, and our current methods of organizing ourselves are helpless in solving our problems. If we are to surmount our human crisis, we will need to change our behavior, and change the way we organize our communities.</p>
<p>Today, our problems are so difficult that they are overwhelming our individual abilities to solve them. We are rapidly entering into a state of what I call individual overwhelm. It is becoming increasingly difficult for modern humans to solve their problems as separate individuals. But what is difficult for individuals working separately is often much easier for individuals working together. Instead of asking, “How can I meet my needs and solve my problems,” we must learn to ask, “How can we meet our needs and solve our problems?”</p>
<p>The word synergy derives from two Greek roots: erg meaning “to work,” and syn meaning “together.” Synergic science is simply the study of working together. Synergic science is revealing a new understanding of human behavior and of human organization, and a relatively simple solution to our human crisis — that we simply work together and act responsibly.</p>
<p>The human behavior that best supports acting responsibly is called Enlightenment. Enlightenment changes individual human behavior.</p>
<p>The organizational pattern that best supports working together is called CommUnity. When individuals form a CommUnity, they discover that they can accomplish much more by working together than they can by working separately. CommUnity utilizes synergic union. Examples of synergic union include operating together as in co-operation, laboring together as in co-laboration, acting together as in co-action, creating together as in co-creation, and thinking together as in co-intelligence. Synergic union requires shared responsibility, and of most importance, shared authority. CommUnity changes collective human behavior.</p>
<p>To exit our current human crisis will require nothing less than the creation of Enlightened CommUnities.</p>
<p><span style="color: #ffffff;">.</span></p>
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</div>
</div>
<div>
<div><strong>How does your strategy and approach respond creatively and comprehensively to key issues?</strong></div>
<div>
<div>
<p>Enlightened CommUnities will share their knowledge and synergic mechanisms with all of humanity. The mission of a synergic civilization could be to grant every human:</p>
<p>1. <strong>Access to Land and the Earth’s natural resources</strong> for personal synergic use at no cost.</p>
<p>And we humans are granted access to land and the Earth’s natural resources for <em>synergic co-operative production</em> with payment of appropriate fees to the <em>Earth Trust</em>. All payments to the <em>Earth Trust</em> are to be used for the benefit of ALL — plants, animals, humans, and the Planet itself.</p>
<p>3. <strong>Access to plants and animals</strong> for personal synergic use. This includes pets, and service animals, as well as house plants, decorative plants and garden plants for personal use at no cost.</p>
<p>And we humans are granted access to plant and animal life for <em>synergic co-operative production</em> with the payment of appropriate fees to the <em>Life Trust</em>. All payments to the <em>Life Trust</em> are to be used for the benefit of ALL life — plants, animals, and humans.</p>
<p>4. <strong>Complete safety from crime and war</strong>.</p>
<p>5. <strong>Clean water and healthy food</strong>; <strong>Comfortable, safe, and healthy housing; Comfortable clothing; and household supplies; Preventative health services and comprehensive medical care </strong>all at no cost.</p>
<p>6. <strong>Personal tools for modern living</strong>, such as smart phones, computers, etc., for personal and family reasons, for education, for synergic production and consumption, and for synergic consensus at no cost.</p>
<p>7. <strong>Personal and public transportation</strong>, that is safe and convenient at no cost.</p>
<p>8. <strong>Comprehensive education</strong> limited only by an individual’s ability and interest regardless of age at no cost.</p>
<p>9. <strong>Opportunity for participation in synergic co-operative production</strong>, as interest and talent allows, in order to earn revenue shares and to acquire property throughout their full lifetime.</p>
<p><span style="color: #ffffff;">.</span></p>
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</div>
<div>
<div><strong>Compare and contrast your initiative:</strong></div>
<div>
<div>
<p>There are three types of humans to be found in our present world. Which type you are depends on what you believe about how the world works.</p>
<p><em>Adversaries</em> believe there is not enough for everyone and only the physically strong will survive. They believe humans are <em>coercively dependent </em>on others, and they best understand the language of <em>force</em>.</p>
<p><em>Neutralists </em>believe there is enough for everyone, if only you work hard enough and take care of yourself. They believe humans are financial <em>independent</em> and should be self-sufficient unless they are too lazy or defective. They best understand the language of money.</p>
<p>And, finally a new type of human is still emerging. Synergists believe there is enough for everyone but only if we <em>work together</em> and <em>act responsibly</em>. They believe humans are <em>interdependent </em>and can only obtain sufficiency by working together as community. Synergists best understand the language of <em>love</em>.</p>
<p><span style="color: #ffffff;">.</span></p>
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<div>
<div><strong>Provide details regarding the team and/or partners you have assembled:</strong></div>
<div>
<div>
<p>Our team members include: Timothy Wilken, Margaret Ruby, Sharon Perry, JoAnna Dalm, Bob Phillips, Dan Shafer, Marty Lewis, Rabia Erduman, Maggie Sullivan, Judy Wilken and Serene Wilken.</p>
<p>Our team is composed of ordinary human beings committed to working together. The only requirement for membership in an Enlightened CommUnity is that you be human, and willing to work together, learn together, and to act responsibly.</p>
<p>We have formed a <a href="http://www.amazon.com/We-People-Consenting-Deeper-Democracy/dp/0979282705/">sociocratic intentional circle</a>. This is a group of people who decide to create a new organization. It is our intention to create an Enlightened CommUnity in the Monterey, California area as a prototype for future human organizations.</p>
<p>We are meeting on a weekly basis, working together and acting responsibly. We make our decisions in heterarchy sharing responsibility and authority, and by using consensus and consent.</p>
<p>We organize our action teams in voluntary hierarchies where win-win relationships are the norm, and where the synergic veto prevents any and all members from losing in any interaction.</p>
<p>We understand that the future will require that we respect each other and all humans, and follow the <a href="../2002/03/31/">Golden Rule</a>.</p>
<p><span style="color: #ffffff;">.</span></p>
<p><strong>Describe your implementation plan:</strong></p>
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</div>
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<div>
<div>
<div>
<p>Using the synergic tools of Synocracy, Sociocracy, Ortegrity, and GIFTegrity we will create the 8 Critical SubSystems necessary for Enlightened CommUnity</p>
<p><strong>Outside:</strong><br />
This would be dealing with those individuals, other communities, and the states that are outside of our commUnity.</p>
<p><strong>Inside:</strong><br />
This is the SubSystem that solves all internal problems for the members. This would include health care, conflict resolution, psychology, counseling, internal security, and administration of the privilege of individual reproduction. We will need to voluntarily reduce our population to a sustainable level.</p>
<p><strong>Consumption:</strong><br />
This would be the mechanisms and processes for providing clean air, water, food, building materials and energy for shelter, security and production.</p>
<p><strong>Production:</strong><br />
This would be designing, prototyping, and manufacturing of tools needed for community and individual activity. This would include large tools like dwelling machines, and/or factories as well as tools for individual needs.</p>
<p><strong>Transportation:</strong><br />
This would be need to be developed to move people, resources, produce, and materials.</p>
<p><strong>Reproduction:</strong><br />
This would address the need to reproduce more commUnities.</p>
<p><strong>Communication</strong>:<br />
This would be the tools for internal and external communication, and to support decision making and education.</p>
<p><strong>Decision-Support:</strong><br />
Within a synergic community decisions are made throughout the community using synergic consensus and consent. The mechanism of synergic consensus and synergic veto are well explained on our website.</p>
<p><span style="color: #ffffff;">.</span><strong></strong></p>
<p><strong>What are the critical success factors that must be in place to achieve success?</strong></p>
</div>
</div>
</div>
<div>
<div>
<div>
<p>The marriage of enlightenment with synergic commUnity. Only synergic behavior can produce synergic organizations, synergic commUnities, and a synergic civilization.</p>
<p>We can never have too much kindness, compassion, calmness, peace, tranquility, intelligence, genius, wisdom, and goodness in our world.</p>
<p><span style="color: #ffffff;">.</span></p>
<p><strong>What range of funding is needed to bring your project to fruition</strong>?</p>
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<p>The more the better. We are committed to creating a positive future for ourselves and our children with or without funding. But any funding will help, and large funding will significantly increase the speed of implementation.</p>
<p><span style="color: #ffffff;">.</span></p>
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<fieldset>
<legend><strong>Sources + Supplemental Material Links</strong><br />
</legend>
<div>
<div>
<div>
<p><strong><a href="http://www.synearth.net/Restricted-Confidential/Enlightened%20CommUnity%20Preview.pdf">Enlightened CommUnity</a></strong> ( A 70 page PDF)</p>
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</div>
</div>
<div>
<div>
<div>
<p><strong><a href="http://www.synearth.net/Restricted-Confidential/OT.pdf">ORTEGRITY</a></strong> (A 80 page PDF describing synergic organization)</p>
<p><strong><a href="../giftegrity/">GIFTegrity</a></strong></p>
</div>
</div>
</div>
<div>
<div>
<div>
<p><strong><a href="../a-synergic-future/">A Synergic Future</a></strong></p>
<p><span style="color: #ffffff;">.</span><strong></strong></p>
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<div><img title="" src="http://challenge.bfi.org/sites/challenge.bfi.org/files/imagecache/application_preview/sites/challenge.bfi.org/files/OrtegrityOptimized_0.jpg" alt="OrtegrityOptimized.jpg" /></div>
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<p><span style="color: #ffffff;">.</span></p>
<p><object style="height: 390px; width: 640px;" width="640" height="360" classid="clsid:d27cdb6e-ae6d-11cf-96b8-444553540000" codebase="http://download.macromedia.com/pub/shockwave/cabs/flash/swflash.cab#version=6,0,40,0"><param name="allowFullScreen" value="true" /><param name="allowScriptAccess" value="always" /><param name="src" value="http://www.youtube.com/v/eCxn33omaQM?version=3&amp;feature=player_profilepage" /><param name="allowfullscreen" value="true" /><param name="allowscriptaccess" value="always" /><embed style="height: 390px; width: 640px;" width="640" height="360" type="application/x-shockwave-flash" src="http://www.youtube.com/v/eCxn33omaQM?version=3&amp;feature=player_profilepage" allowFullScreen="true" allowScriptAccess="always" allowfullscreen="true" allowscriptaccess="always" /></object></p>
<p><span style="color: #ffffff;">.</span></p>
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<div><img title="" src="http://challenge.bfi.org/sites/challenge.bfi.org/files/imagecache/application_preview/sites/challenge.bfi.org/files/Timheadfeathered_0.jpg" alt="Timheadfeathered.jpg" /></div>
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<div><span style="color: #ffffff;">.</span></div>
<div>Timothy Wilken</div>
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		<description><![CDATA[As we approach the 2012 election, have  you ever wondered if there wasn’t a better way? How might we make decisions in a co-Operative future? Remember co-Operation means working together. We are seeking the win-win-win-win solution. This is where I win, you win, others win, and community wins. In this future, there are no Democrats–there [...]]]></description>
			<content:encoded><![CDATA[<div>
<p><span style="color: #000080;">As we approach the 2012 election, have  you ever wondered if there wasn’t a better way? How might we make decisions in a co-Operative future?</span></p>
<p><span style="color: #000080;">Remember co-Operation means working together. We are seeking the win-win-win-win solution. This is where I win, you win, others win, and community wins. In this future, there are no Democrats–there are no Republicans–there are only human beings working together to unify the planet where we always share everything–air, water, and energy. … Reposted from 2002 SynEARTH Archives.</span><span style="color: darkblue;"><br />
</span></p>
<hr align="left" width="100%" />
<h1><span style="color: darkblue;">Synocracy &amp; Sociocracy</span></h1>
<p><strong><span style="color: darkblue;">Timothy Wilken, MD</span></strong></p>
<p>Unanimous Rule Democracy is a much more powerful mechanism of decision making than the majority rule of present day democracy.</p>
<p>Synergy means working together—operating together as in Co-Operation—laboring together as in Co-Laboration—acting together as in Co-Action. The goal of synergic union is to accomplish a larger or more difficult task than can be accomplished by individuals working separately.</p>
<p>However true synergy, which gives us humans the opportunity to accomplish more together than we can accomplish separately, also requires more from us. It requires <strong><span style="color: darkblue;">synergic consensus</span></strong>. For any group of humans, synergic consensus can provide a much more powerful mechanism of decision making than even the best majority rule democracy carefully following Roberts Rules of Order.</p>
<p>Synergic consensus occurs when a group of humans sit as equals and negotiate to reach a decision in which they all win and in which no one loses. In synergic science this is called <strong><span style="color: darkblue;">heterarchy.</span></strong> That means all members of the deciding group sit on the same level as “equals”. All decisions within a truly synergic group are made within “<strong><span style="color: darkblue;">decision heterarchy</span></strong>”. A decision heterarchy is made up of a group of humans with common purpose. The minimum number is 2 the maximum number is presently unknown. I believe the ideal size may be ~six or seven individuals. The group is organized <strong><span style="color: darkblue;">horizontally</span></strong> with all individuals sharing <strong><span style="color: darkblue;">equal authority</span></strong> and <strong><span style="color: darkblue;">equal responsibility</span></strong>.</p>
<p>Most Western humans are familiar with the democratic committee system. It is very different from the decision heterarchy. While both are methods of organizing human individuals to make decisions for group action. Committees are filled with conflict and highly ineffective. In a committee no individual is held responsible for the actions taken by the group. And decision is made by majority ultimatum. A desenting minority member is forced to support the action he voted against or leave the committee. Heterarchy within a synergic group, in contrast organizes individuals to have equal authority to decide on joint action with equal responsibility for the resultant that is produced by that joint action.</p>
<p><strong><span style="color: darkblue;">Synergic consensus</span></strong> occurs when a group of humans sitting in heterarchy negotiate and reach a decision in which <strong><span style="color: darkblue;">they all win and in which no one loses</span></strong>. In a synergic heterarchy, all members sit on the same level as “equals”. No one has more authority than anyone else. Every one has equal responsibility and equal authority within the heterarchy. The assignment for the heterarchy is to find a plan of action so that all members win. It is the collective responsibility of the entire heterarchy to find this “best” solution. Anyone can propose a plan to accomplish the needs of the group. All problems related to accomplishing the needs would be discussed at length in the heterarchy.</p>
<p>The proposed plan of action for solving a problem is examined by all members of the heterarchy. Anyone can suggest a modification, or even an alternative action to solve the problem. All members of the heterarchy serve as information sources for each other. The heterarchy continues in discussion until a plan of action is found that will work for everyone. When all are in agreement and only then can the plan be implemented. The plan insures that all members of the synergic heterarchy win.</p>
<p><strong><span style="color: darkblue;">Synergic Veto</span></strong></p>
<p>All members are required to veto any plan where they or anyone else would lose. This is not an arbitrary veto. This is a veto to prevent loss. The heterarchy is seeking to win together. Plans causing loss need to modified to plans that insure winning.</p>
<p>Therefore all vetoes are immediately followed by renegotiation to modify the plan of action so that loss can be eliminated.</p>
<p>Synergic consensus is <strong><span style="color: darkblue;">unanimous consensus</span></strong>. Unanimous consensus is protected by the judicious use of the <strong><span style="color: darkblue;">synergic veto</span></strong>. Synergic relationship requires that when any party within a group is losing, the action causing the loss must stop. But again all vetoes are immediately followed by <strong><span style="color: darkblue;">renegotiation</span></strong> to modify the plan of action so that loss can be eliminated, and action can continue.</p>
<p>Thus <strong><span style="color: darkblue;">synergic consensus</span></strong> is a two step process. 1) <strong><span style="color: darkblue;">consensus</span></strong>–to find mutual agreement, and 2) <strong><span style="color: darkblue;">consent</span></strong>–to find specific disagreements and eliminate those through modification and re-negotiation of proposed plans. This second step is initiated by use of the <span style="color: darkblue;"><strong>synergic veto</strong></span>.</p>
<p>After I designed <a href="http://www.synearth.net/Restricted-Confidential/OT.pdf"><strong><span style="color: blue;">Ortegrity</span></strong></a>, which uses the process of synergic consensus and synergic veto, I learned about <a href="http://www.twinoaks.org/clubs/sociocracy/index.html"><span style="color: blue;">Sociocracy</span></a>. It is from Sociocracy that I have borrowed the term <strong><span style="color: darkblue;">consent</span></strong> for the second phase of synergic consensus.</p>
<p><strong><span style="color: darkblue;">Sociocracy</span></strong></p>
<p>Originated in the Netherlands in 1945 by Kees Boeke, a Dutch educator and pacifist, Sociocracy was a way to adapt Quaker egalitarian principles to secular organizations.</p>
<p>It uses the decision-making process of <strong><span style="color: darkblue;">consent</span></strong> which is different than most systems of  ’consensus’.</p>
<p>Consent looks for disagreement and uses the reasons for disagreeing to come up with an <strong><span style="color: darkblue;">amended proposal</span></strong> that is within everyone’s limits. Consensus looks for agreement.</p>
<p>If a group wants to paint an outbuilding, consensus would require everyone agreeing on a color. Consent would require everyone defining their limits and then allowing the choice to be made within those limits. The painter might end up with 10 colors that are within everyone’s limits and then choose from those.</p>
<p><strong><span style="color: darkblue;">Synergic Consensus</span></strong> as described in <a href="http://www.synearth.net/Restricted-Confidential/OT.pdf"><strong><span style="color: blue;">ORTEGRITY</span></strong></a> seeks both <strong><span style="color: darkblue;">consensus</span></strong> and <strong><span style="color: darkblue;">consent</span></strong> by utilization of the <strong><span style="color: darkblue;">synergic veto</span></strong>. When any member of the deciding group is in conflict and vetos a proposed plan, they are asked how would they change the proposal to accomodate their objection. Let’s take a deeper look at Sociocracy to see what we can learn. I will mark my annotations with an asterick.</p>
<p><strong><span style="color: darkblue;">The Four Principles of Sociocracy</span></strong></p>
<p><strong><span style="color: darkblue;">1) Governance by Consent:</span></strong> The consent principle says that a decision can only be made when none of the circle members present has a reasoned, substantial objection to making the decision. The consent principle is different than<br />
“consensus” and “veto.” With consensus the participants must be “for”the decision. With consent decision-making they must be not against. With many forms of consensus a veto blocks the decision without an argument. With consent decision making, opposition must always be supported with an argument.</p>
<p><span style="color: darkblue;"><strong><span style="font-size: large;">* </span></strong>Synergic veto always requires renegotiation to find a plan of action that will solve the group problems without causing loss. Veto is never arbitrary in Ortegrity.</span></p>
<p>Every decision doesn’t require consent, but consent must exist concerning an agreement to make decisions regularly through another method. Thus, many decisions are not made by consent. Rather, with consent, persons or groups are given the authority to make independent decisions. Consent can also be used with non-human elements.</p>
<p><strong><span style="color: darkblue;">2) Circle Organization:</span></strong> The organization arranges for a decision making structure, built from mutually double-linked circles, in which consent governs. This decision-making structure includes all members of the organization. Each circle has its own aim, performs the three functions of directing, operating and measuring (feedback), and maintains its own memory system by means of integral education. A good way to evaluate how well a circle is functioning is to use 9-block charting. Every circle formulates its own vision, “mission statement” and aim/objective (which must fit in with the vision, mission and aim of the organization as a whole and with the vision, mission and aim of all the other circles in the organization).</p>
<p><span style="color: darkblue;"><span style="font-size: large;">*</span> Circles are equivalent to <strong>heterarchies</strong>. In  <a href="http://www.synearth.net/Restricted-Confidential/OT.pdf"><span style="color: blue;">ORTEGRITY</span></a>, they are similar to <strong>Decision-Action Tensegrities</strong>.</span></p>
<p><strong><span style="color: darkblue;">3) Double-Linking:</span></strong> Coupling a circle with the next higher circle is handled through a double link. That is, at least two persons, the supervisor of the circle and at least one representative of the circle, belong to the next higher circle.</p>
<p><span style="color: darkblue;"><span style="font-size: large;">*</span> Decision-Action Tensegrities as described in </span><a href="http://www.synearth.net/Restricted-Confidential/OT.pdf"><span style="color: blue;">ORTEGRITY</span></a><span style="color: darkblue;"> are <strong>single linked</strong> by the Organizers-Organized or the O-O.</span></p>
<p><img src="../wp-content/uploads/2009/06/untitled106.jpg" alt="Org6: " width="416" height="240" border="0" /></p>
<p><span style="color: darkblue;">Using a <strong>double link</strong> would add redundancy, security and allow more information to flow between <strong>Decison-Action Tensegrities</strong>–two heads are better than one, but at a price of decreased efficiency.</span></p>
<p><span style="color: darkblue;"><strong>4) Sociocratic Elections:</strong></span> Choosing people for functions and/or responsibilities is done by consent after an open discussion. The discussion is very important because it uncovers pertinent information about the members of the circle.</p>
<p><span style="color: darkblue;"><span style="font-size: large;">* </span></span><span style="color: darkblue;">In Ortegrity, o</span><span style="color: darkblue;">nce the primary synergic task is defined and unanimously elected by the heterarchy, then a plan for synergic action must be developed using synergic negotiation. Now the members of the heterarchy will accept hierarchical roles with individual responsibility and authority. </span></p>
<p>In addition to the four main principles of Sociocracy, there are also these guidelines:</p>
<ul>
<li>No secrets may be kept  <span style="color: darkblue;">(*<strong>Transparency</strong> in Ortegrity)<br />
</span></li>
<li>Everything is open to discussion – limits of an exec’s power, policy decisions, personnel decisions, investment policy, profit distribution, all rulesÖ.</li>
<li>Everyone has a right to be part of a decision that affects them.</li>
<li>Every decision may be reexamined at any time</li>
</ul>
<p><span style="color: darkblue;"><span style="font-size: large;">*</span> I am in agreement with most of what I read about <a href="http://www.twinoaks.org/clubs/sociocracy/index.html"><span style="color: blue;">Sociocracy</span></a>. In many ways Sociocracy and Ortegrity are complimentary mechanisms with lots of similarities.</span></p>
<p>Sociocracy accomodates growth by creation of new circles that are then connected by double linking. Sociocracy can be regarded as a fractal structure, which means that the same patterns occur at different levels in the structure. That is why, once the basics are understood, the procedures at the highest level are as clear as the procedures at the grassroots level. It also doesn’t require very many levels to include a great number of people.</p>
<p><a href="http://www.synearth.net/Restricted-Confidential/OT.pdf"><span style="color: blue;">ORTEGRITY</span></a> grows by shreddng out. If the primary synergic task is within the abilites of the primary Decision-Action Tensegrity to accomplish it,then they accomplish it operating in action-hierarchy. When they are done, they reconfigure back into decision-heterarchy to define their next synergic task.</p>
<p>If however, the synergic task is too large for the primary Decision-Action Tensegrity to accomplish, then part of the primary synergic task will be to make the Ortegrity larger. This is accomplished by having the primary members recruit and organize secondary D-A Tensegrities.</p>
<p><strong><span style="color: darkblue;">TopDown Self-Organization</span></strong></p>
<p>Once all members have agreed to a primary plan of action, they then divide it into smaller secondary plans for distribution among themselves. This results in the self-assignment of tasks. The members of the primary tensegrity, then divide labor through the voluntarily formation of a action-hierarchy to implement the plan. Each “organizer”, the term “manager” is scraped altogether, then takes his task down to the secondary tensegrity which he is responsible for organizing.</p>
<p>The pattern of organization is from the top down. This is not the “other-directed” hierarchy of American Capitalism. The process of organization is from the top down, but the mechanism is “self directed” heterarchy. Only when synergic consensus has been achieved at the higher level can the organizational focus move down to a lower level.</p>
<p>Within the Ortegrity, most “organizers” will function at two levels of tensegrity. Within the primary tensegrity, they are “organized” by the primary “organizer” — the synergic alternative to a CEO. In addition these members are also the “coodinators” of their own secondary tensegrities which they are responsible for organizing.</p>
<p>Within the Ortegrity, those individuals operating at two levels are then both organized and organizers. As members of the primary tensegrity, they are organized by the “primary organizer” — the O’ (called the O prime) and they are also the organizers of their own secondary tensegrities. Each of these is therefore an “organized-organizer” — the O-O  (called the double O).</p>
<p>An organization can have any number of Decision-Action Tensegrities. These Decision-Action Tensegrities can be on different levels. Large organizations would include several levels of Decision-Action Tensegrities. These different levels are referred to simply as first level, second level, third level and so on in synergic terminology.</p>
<p><strong><span style="color: darkblue;">Compound Tensegrities</span></strong></p>
<p>The following illustration is of a base five, level two O.T.. Twenty five employees with one five-member primary DA-Tensegrity and five (five-member) secondary DA-Tensegrities.</p>
<p><img src="../wp-content/uploads/2009/06/untitled105.jpg" alt="Org5: " width="416" height="240" border="0" /></p>
<p>The central DA-Tensegrity is the primary Tensegrity it is demarcated with the Omega symbol. It divides the primary tasks of the company into secondary tasks, these are then carried down to the secondary Tensegrities for solution by the O-Os, “organized-organizers”. In this example the O’ functions as both primary organizer and one of the O-Os.</p>
<p><strong><span style="color: darkblue;">Ultimately Flexible</span></strong></p>
<p>No known system of organization is more flexible and adaptive then Living systems. The Ortegrity is a pattern of life.</p>
<p>The Ortegrity is ultimately flexible. There can be two to twenty individuals within the base D-A Tensegrities. Bases can be regular — all with the same number of members or irregular — all with different numbers of members or any mixture of regular and irregular.</p>
<p>There can be any number of levels, and any number of branches on each level. The system is so powerful that twelve levels looks like enough for most of our needs.</p>
<p>The following chart is based on a base seven regular tensegrity. All DA-Tensegrities would have seven members.</p>
<table width="90%" border="1">
<tbody>
<tr>
<td><center>LEVEL</center></td>
<td><center># of base tensegrities</center></td>
<td><center># of individuals</center></td>
</tr>
<tr>
<td>1</td>
<td>1</td>
<td>7</td>
</tr>
<tr>
<td>2</td>
<td>8</td>
<td>49</td>
</tr>
<tr>
<td>3</td>
<td>57</td>
<td>343</td>
</tr>
<tr>
<td>4</td>
<td>400</td>
<td>2401</td>
</tr>
<tr>
<td>5</td>
<td>2801</td>
<td>16,807</td>
</tr>
<tr>
<td>6</td>
<td>19,608</td>
<td>117,649</td>
</tr>
<tr>
<td>7</td>
<td>137,257</td>
<td>823,543</td>
</tr>
<tr>
<td>8</td>
<td>960,800</td>
<td>5,764,801</td>
</tr>
<tr>
<td>9</td>
<td>6,725,601</td>
<td>40,353,607</td>
</tr>
<tr>
<td>10</td>
<td>47,079,208</td>
<td>282,475,249</td>
</tr>
<tr>
<td>11</td>
<td>329,554,457</td>
<td>1,977,326,743</td>
</tr>
<tr>
<td>12</td>
<td>2,306,881,200</td>
<td>13,841,287,201</td>
</tr>
</tbody>
</table>
<p>A level 12 Ortegrity would be adequate for organizing the entire humans species within a single organization. Recalling that the larger a tensegrity the more powerful it will is. Synergic science predicts this will also be true for human organizations structured as Ortegrities. Therefore, I would expect a trend towards very large organizations.</p>
<p>Imagine, what could be possible if the entire human species were a single organization. No conflict, no wars, no crimes. Is there anything we could not accomplish?</p>
<p><span style="color: darkblue;"><strong>Synocracy</strong><span style="color: darkblue;">—</span><strong>Unanimous Rule Democracy</strong></span></p>
<p>Any group of humans organized as an Ortegrity are using <strong><span style="color: darkblue;">synocracy</span></strong>. If a nation of people chose to organize as an ortegrity they would have a synocracy. If all of humanity were organized as an Ortegrity, we would have world wide synocracy.</p>
<p>Synergic consensus is <strong><span style="color: darkblue;">unanimous</span></strong> consensus. I can hear the objections now. “That’s impossible, you will never get everyone in the group to agree.” “Decisions will never get made.” “It is hard enough to get a majority to agree.”</p>
<p>A Japanese business heterarchy is slower at making decisions than a single manager in an American business hierarcy. It takes longer for a group of individuals to discuss, negotiate, and come to agreement than it takes for a single American manager to decide all by himself and order his subordinates to follow his instructions. If the speed of making decisions is the only criteria for choosing a mechanism of decision making then the dictatorship—the rule by one is the clear standout.</p>
<p>However, humanity has moved beyond dictatorships for reasons of fairness and justice. Majority rule democracy is not a rapid decision making process. Individuals within a group deciding—whether the group is a small committee or a large nation choosing a President—are seeking to gain the majority of support. This takes time—sometimes a lot of time. Our national elections often take place over an entire year. The focus is on lining up votes—working deals—in a word—politics. This process is anything but rapid. If all decisions in American businesses were made by majority rule, decision making would probably be even slower than in Japanese companies using heterarchical consensus.</p>
<p>Synergic consensus is not commonly availability to humanity today. We do not yet know how fast it will be at making decisions. But, I predict that unanimous rule democracy will prove faster than majority rule democracy. Synergic consensus elimates conflict. Recall conflict is the stuggle to avoid loss. Conflict is at the very heart of majority rule democracy. The focus of synergic consensus is very different. The entire group knows from the outset that they cannot lose. They are focused on choosing a plan of action that serves the needs of all the members in the group—to choose a plan of action that causes no one to lose.  The synergic veto is not invoked capriciously. The only basis for synergic veto is to prevent someone from losing. This is a mechanism to eliminate loss—to choose the very best plan of action for everyone. This may well speed up the process of decison making. In any event regardless of the speed of decision, implimentation will be rapid. There is no conflict. This is a major advantage over majority rule democracy.</p>
<p><strong><span style="color: darkblue;">Life Utilizes Synergic Consensus</span></strong></p>
<p>Today, mind and brain scientists have made enormous progress in understanding how the human brain works. There has been many surprises in these recent advances. But the biggest shocker is that the brain doesn’t decide what to do. Decision making is not controlled centrally in the brain. The mind-brain appears to act as a coordination and consensus system for meeting all the needs of the cells, tissues, and organs of the body. The brain doesn’t decide to eat. The cells of the body decide to eat, the brain coordinates their activity and carries out the consensus will.</p>
<p>Our human brain stores the gathered information from the body’s sensing of its environment, the brain presents opportunities for action reflective of both the sensing of environment and the needs and goals of the 40,000,000,000 cells it serves. The brain is not the leader of the body, it is the follower of the body. It is a system that matches needs of the body with its sensing of opportunities to meet these needs by action within the environment. The brain is a ‘synergic government’ that truly serves its constituents—the cells, tissues, and organs that make up the human body. The body is governed by a unanimous rule democracy that has survived millions of years.</p>
<p>The apparent ‘I’ is not real. It is really a ‘we’. We humans have mistaken the self-organization of synergic consensus for the directed organization of an ego decider.</p>
<p>If the human body can using unanimous rule democracy and synergic consensus can organize and coordinate the actions of 40,000,000,000 cells so totally that we identify the whole organism as a single individual, then we humans should be able to use these same mechanisms to organize our species and solve our human problems.</p>
<p><span style="color: darkblue;"><br />
</span></p>
<hr align="left" width="100%" />
<p><span style="color: darkblue;">References and Acknowledgements:</span></p>
<p dir="ltr" align="left"><span style="color: darkblue;">Barbara Hubbard originally coined the term Synocracy to refer to a not yet defined future system of “rule by the people” in a co-Operative society. </span></p>
<p><span style="color: darkblue;"><a href="../?page_id=8"><span style="color: blue;">Barry Carter</span></a> the author of <strong><em>Infinite Wealth</em></strong> also independently created the term Synocracy. He writes: </span><span style="color: darkblue;">“Barbara Marx Hubbard created the term synocracy. Having never read her book, I independently created the synocracy concept by way of mass privatization. When people are owning partners in a mass privatization organization they must participate because owners operate on profit and loss. As mass privatization communities work together we move beyond representative democracy and even beyond consensus democracy to create synergy-ocracy and synthesis-ocracy or synocracy. Infinite Wealth shows mass synocracy to be the new system of social order for the information Age to replace representative democracy. It even replaces the notion of government with the broader notion of social order. Just as learning is driven internally where education is driven externally representative government is external and where as self-organizing mass synocracy is internally driven.”</span></p>
<hr />
<p><span style="color: darkblue;">More on <a href="http://www.synearth.net/Restricted-Confidential/OT.pdf"><span style="color: blue;">Ortegrity</span></a></span><span style="color: #00008b;"> More on </span><a href="http://www.twinoaks.org/clubs/sociocracy/index.html"><span style="color: blue;">Sociocracy</span></a><span style="color: darkblue;">  Read a  <a href="../2002/02/05"><span style="color: blue;">Synergic Version of Robert’s Rules of Order</span></a> </span><span style="color: darkblue;">Read the Synergic Future Series:</span> 1) <span style="color: darkblue;"><span style="color: black;"><a href="../2008/09/21">Beyond Property</a></span></span><span style="color: darkblue;"> 2) </span><span style="color: darkblue;"><span style="color: black;"><a href="../2008/09/24">Redefining Wealth</a></span></span><span style="color: darkblue;"> 3) <a href="../2008/09/26"><span style="color: blue;">Synergic Wealth</span></a> </span>4) <a href="../2008/09/29">Synergic Wealth II: Deepening Our Understanding</a> 5) <a href="../2008/10/02">Trustegrities — Protecting the Future</a> and 6) <a href="../2008/10/07">Synergic Guardians — Protecting the Future</a>.</p>
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		<description><![CDATA[As we flounder with our current debt crisis and approach the 2012 election, have  you ever wondered if there wasn’t a better way? … Reposted from 2002 SynEARTH Archives. Beyond Democracy Timothy Wilken, MD In today’s world, it is assumed without question that majority rule democracy is the best way to organize humanity. To even [...]]]></description>
			<content:encoded><![CDATA[<p><span style="color: darkblue;">As we flounder with our current debt crisis and approach the 2012 election, have  you ever wondered if there wasn’t a better way?</span><span style="color: #000080;"> … Reposted from 2002 SynEARTH Archives.</span></p>
<hr align="left" width="100%" />
<h1><span style="color: darkblue;">Beyond Democracy<br />
</span></h1>
<p dir="ltr"><span style="color: #000080;"><strong>Timothy Wilken, MD</strong></span></p>
<p>In today’s world, it is assumed without question that majority rule democracy is the best way to organize humanity. To even offer a criticism of majority rule democracy is to invite an immediate and often emotionally charged attack on oneself. We are quickly asked to choose between majority rule democracy or the dictatorships of communism/fascism. We are quickly reminded that if we don’t like it here in a majority ruled democracy, we are free to leave.</p>
<p>And, majority rule democracy which is rule by the most, appears to offer a clear advance over dictatorships which is rule by the one, or oligarchy which is rule by the few.</p>
<p>Majority rule democracy in its purest form was found in the ancient Greek city-states and early Roman Republic, these were direct democracies in which all citizens could speak and vote in assemblies. This was possible because of the small size of the city-states almost never more than 10,000 citizens. However, even these ancient democracies did not presuppose equality of all individuals; the majority of the populace, notably slaves and women, had no political rights at all. So even here the majority really did not rule.</p>
<p>In modern representative democracies we find the majority rule mechanism used to select our representatives, to make decisions within committees and to make decisions within the legislative bodies. In the United States, we elect one president, 100 Senators and 435 Congressman. This is one President for ~276 million Americans. There are two Senators for each state. Senatorial representation would vary from one Senator for ~16 million Californians down to one Senator for ~350,000 Delawarians. The members of the first House of Representatives were elected on the basis of 1 representative for every 30,000 inhabitants, but at least 1 for each state. At present the size of the House is fixed at 435 members, elected on the basis of 1 representative for about 500,000 inhabitants.</p>
<p>Our representatives do not even know us. If any Congressman met with 10 of his constituents every day for 365 days a year, it would take over 137 years for him just to meet all of them. And Congressmen are only elected for two year terms. If our Congressman don’t even know us how can they represent us?</p>
<p>So if we carefully examine modern representative democracy scientifically, we discover it is an oliarchy. In other words, we are ruled by the few. When we go to the poles to elect a President, we are simply electing the leader of the few who rule. Majority rule democracy ends for we the people the moment we exit the voting booth. And, our elected leader will have no need of our opinion for four years.</p>
<h3><strong><span style="color: darkblue;">Its even less representative than it appears!</span></strong></h3>
<p>Both houses of Congress facilitate business by the committee system, and each has a fixed number of permanent committees, called standing committees, the chief function of which is considering and preparing legislation.</p>
<p>As the United States grew in population and in influence in world affairs, the volume and complexity of the matters arising in Congress also increased. Due consideration to all matters submitted to the Congress could not be given in open debate on the floor of the Senate and House. As a result, the standing committees of the Congress became the arbiters of the fate of practically all legislation. There are 22 standing committees in the House and 16 standing committees in the Senate. Even though majority rule is used to make decisions in these committees once the decision is made the results are imposed on ~276,000,000 Americans.</p>
<p>In recent years, the American people have attempted to exert their will by making use of ballot initiatives. Almost always if these initiatives are not popular with the few that rule, they are quickly dismantled. In November of 1996, the majority of Californians voted for Proposition 209, which banned affirmative action, Proposition 215, which legalized medical use of marijuana, and Proposition 187, which denied legal benefits to illegal immigrants. By January of 1997, all three were hung up in the courts or in a jurisdictional squabble with the federal government. None was close to being enforced.</p>
<p>By May of 1998, Proposition 215, the Marijuana for Medical Use Initiative which passed by a 56% majority throughout the state and by an 80% majority in San Francisco has all but been dismantled by the Few who Rule. They had succeeded in closing the majority of the medical marijuana clinics which had opened throughout the state, and were pressing criminal charges against many of those involved in the clinics. Obviously, the majority does not rule in California.</p>
<p>This fact is being increasingly realized by citizens across the nation. Voting in our representative democracy does not make a difference.  And we the people appear less and less interested in pretending that our voting has any effect whatever. Voter turnout has been declining steadily since 1960. And as reported  in the Wall Street Journal for November 9, 2000:</p>
<p style="padding-left: 30px;">“Overall voter turnout for this week’s election barely budged despite nearly $1 billion of campaign television advertisements and the closest presidential contest in decades</p>
<p style="padding-left: 30px;">“About 50.7% of the nation’s 200 million eligible voters cast ballots this week, marginally greater than the rock-bottom level seen in 1996, but significantly lower than the 1992 level, said Curtis Gans, director of the Committee for the Study of the American Electorate. Four years ago, only 49% of those qualified to vote actually did so, the lowest turnout since 1924. By contrast, some 55% of the electorate went to the polls in 1992′s close race between Bill Clinton and President George H.W. Bush.”</p>
<p style="padding-left: 30px;"><img src="http://static.userland.com/manilasites/images/FuturePositiveManilaSitesCom/Voting.jpg" alt="VoterTurnout: " width="292" height="345" border="0" /></p>
<h3><span style="color: darkblue;">Seeking synergic government</span></h3>
<p>However, even if we had direct democracies using majority rule, it would not be a synergic form of government.</p>
<p>Adversary relationships require loss.</p>
<p>Neutral relationships prohibit loss, but do not require winning.</p>
<p>Synergic relationships prohibit loss and require winning.</p>
<p>So in fact, if we use the Neutral criteria of prohibition of loss, majority rule democracy is not even a neutral form of government. In majority rule democracy, the minority often loses. As Andrew J. Galambos wrote:</p>
<p style="padding-left: 30px;">“The word Democracy comes from the Greek words which mean “rule of the people.” However, the practice of Democracy can be no better than the understanding of the concept of “rule of the people.”Over the past 2,000 years, most people have come to accept without question or reservation the idea that Democracy means the ability of the people to choose their mode of social organization by means of majority vote.</p>
<p style="padding-left: 30px;">“The political concept of Democracy arose as a consequence of counting yeas and nays on particular issues and than selecting the men who would decide how issues were to be resolved. Whichever man could muster the choice of more persons than his opposition could muster became the dominant person for the society. This was and is nothing more than an application of the old dictum, might makes right.</p>
<p style="padding-left: 30px;">“This concept of Democracy (which prevails to this day) relies upon the ability of the winning political leaders to count upon the support of more people than their losing opponents. However, this concept does nothing to ensure the protection of the property, hence, the freedom of those who may disagree. Furthermore, those who may be in the majority with respect to a given issue or political candidate will eventually find themselves in the minority with respect to other issues or candidates. In the long run, therefore, everyone loses. This concept of Democracy eventually breaks down and leads to a destruction of freedom.”</p>
<p style="padding-left: 30px;"><em>Source: Andrew J.Galambos, <span style="text-decoration: underline;">What is True Democrac</span>y,  Free Enterprise Institute, 1963</em></p>
<p>In today’s “FREE” world all political decisions are made using majority rule democracy. The the group deciding may be small, a committee faced with solving some particular problem, or large, the entire voting electorate of a nation choosing a President. Regardless of the size of the group deciding, decision is made when one faction within the group achieves a simple majority. That faction wins, the minority faction loses. Majority rule consensus requires only a simple majority to force the minority, the losing voters to accept the position of the majority, the winning voters. There is no need to gain the agreement of all of the members. There is no need to prevent the minority from losing.</p>
<p>Majority rule democracy of which the committee is the most common example is filled with political intrigue and back room deals to obtain majority consensus and defeat the minority. This often results in the dark art of politics which makes strange bedfellows. Even when the majority wins they are not assured of the cooperation of the minority. Often the minority may only support the elected plan half-heartedly, or even seek to sabotage the plan they didn’t vote for since they feel they are losing anyway.</p>
<p>Compared to the rule by the one of dictatorship,  the rule by the most of majority rule democracy, appears to be a much fairer way. And fairness is perhaps the greatest value of our American nation.  However, it should now be clear to the reader that while Neutral political-economic systems are better for humanity than Adversary political-economic systems. Majority rule democracy is really an Adversary political-economic system pretending to be a Neutral political-economic system. In reality only lip service is given to rule by the most.</p>
<p>What we really have in America, the “freest nation on Earth”, is rule by the few. And, while rule by the few holds some advantage over rule by the one, its advantage does not imply there is nothing better for Humanity.</p>
<p>If we are to find a synergic form of organization for humanity, we will have to look beyond the representative democracies of today.</p>
<hr />
<p><span style="color: darkblue;">Read the Synergic Future Series:</span> 1) <span style="color: darkblue;"><span style="color: black;"><a href="../2008/09/21">Beyond Property</a></span></span><span style="color: darkblue;"> 2) </span><span style="color: darkblue;"><span style="color: black;"><a href="../2008/09/24">Redefining Wealth</a></span></span><span style="color: darkblue;"> 3) <a href="../2008/09/26"><span style="color: blue;">Synergic Wealth</span></a> </span>4) <a href="../2008/09/29">Synergic Wealth II: Deepening Our Understanding</a> 5) <a href="../2008/10/02">Trustegrities — Protecting the Future</a> and 6) <a href="../2008/10/07">Synergic Guardians — Protecting the Future</a>.</p>
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		<description><![CDATA[The power of the ORTEGRITY is available to organizations through BIAS systems. See also: 1) Discovery in North Carolina, 2) Heterarchy—The Secret of Japan, Inc., 3) Defining Ortegrity. The Structure of Winning Timothy Wilken, MD The Ortegrity is a system for organizing two or more humans. It produces win-win relationships between all individuals within the [...]]]></description>
			<content:encoded><![CDATA[<p><span style="color: #00008b;">The power of the</span> <em><strong><a href="http://www.synearth.net/Restricted-Confidential/OT.pdf"><span style="color: blue;">ORTEGRITY</span></a></strong></em><span style="color: darkblue;"> is available to organizations through </span><strong><em><a href="../?page_id=124"><span><span style="color: darkblue;"><span style="color: blue;">BIAS systems</span></span></span></a></em></strong><span>. </span><span style="color: #00008b;">See also: 1) </span><a href="../2003/07/21"><span style="color: blue;">Discovery in North Carolina</span></a><span style="color: darkblue;">, 2) <a href="../2003/07/22"><span style="color: blue;">Heterarchy—The Secret of Japan, Inc.</span></a></span>, 3) <a href="../2003/07/23"><span style="color: blue;">Defining Ortegrity</span></a>.</p>
<hr align="left" width="100%" />
<h1><span style="color: darkblue; font-family: Times New Roman,Times,Serif;">The Structure of Winning</span></h1>
<p><strong><span style="color: darkblue;">Timothy Wilken, MD</span></strong></p>
<p>The Ortegrity is a system for organizing two or more humans. It produces win-win relationships between all individuals within the organization. This results in a conflict free environment which optimizes the two processes of human behavior — decision and action. The resultant is that efficiency, productivity, and quality of work-life are optimized.</p>
<p><img src="../wp-content/uploads/2009/06/untitled101.jpg" alt="Org1: " width="416" height="240" border="0" /></p>
<p><strong><span style="color: darkblue;">Major Features</span></strong></p>
<p><span style="color: darkblue;"><strong>Decision-Action Tensegrities utilizing —</strong><br />
</span></p>
<p style="padding-left: 30px;"><strong><span style="color: darkblue;"> decision heterarchy with synergic consenus and veto,</span></strong></p>
<p style="padding-left: 30px;"><strong><span style="color: darkblue;"> action hierarchy with synergic negotiation,</span></strong></p>
<p style="padding-left: 30px;"><strong><span style="color: darkblue;"> conflict free mechanism</span></strong></p>
<p>&nbsp;</p>
<p><span style="color: #000080;"><strong>Decision-Heterarchy</strong></span></p>
<p>In the Ortegrity, decisions are made in heterarchy. Each member’s role is the same. The goal is to find the plan of accomplishing the assigned task with best effect on all. A win-win solution. This search leads to the most efficient way of doing things. All members are protected from any loss by their veto. Only a win-win plan can be approved. Such plans that will be strongly supported by all members.</p>
<p>Humans develop strong feelings of community in heterarchy. It strengthens their committment to the organization. Individuals are more creative and enthusiastic in a setting where they feel respected and needed.</p>
<p>Decisions are always made heterarchically. All individuals in a heterarchy sit on the same level. They are equal in authority and responsibility. No one is superior to anyone else. It is the responsibility of all to accomplish the task assigned to the heterarchy. They all have equal authority and equal responsibility to decide how the task will be accomplished.</p>
<p>Anyone can propose a plan as to how the task might be accomplished. The heterarchy continues discussion until a unanimous decision is reached. Only those plans not vetoed carry. Every member has a veto and is expected to use it to prevent losses. This is synergic consensus. It is a powerful system for producing unanimous decision. Remember loss can still occur in synergic organization. But if loss must occur it is minimized and then shared equally by all members of the heterarchy.</p>
<p><img src="../wp-content/uploads/2009/06/untitled102.jpg" alt="Org2: " width="302" height="213" border="0" /></p>
<p><strong><span style="color: darkblue;">The Synergic Veto — life’s secret</span></strong></p>
<p>Most humans are suprised to learn of veto power. It seems very strange in the world of “directed” management. How can the boss allow employee’s to veto his orders and get anything done?</p>
<p>Members of a heterarchy are not employees. They stand equal with the organizer. A major secret of life is that self-directed organization is much more efficient than other-directed organization. The secret is to transcend directing anyone. The Ortegrity creates the ideal environment for self-organization.</p>
<p>In an environment of self-organization, human potential blossoms. Humans operate at a more powerful level. Those in an Ortegrity soon realize that their well being depends on the success of their organizations. They realize that if they wish to be well paid their organization must be successful. They have high interest in successful solutions to their tasks. They desire to be successful, and they want their organizations to be successful as well.</p>
<p>Now once the members of a heterarchy have decided on a plan of action. They then renegotiate among themselves to divide the plan of action into subtasks.</p>
<p>Recall that all members sit on the same level as “equals”. No one has more authority than anyone else. Every one has equal responsibility and equal authority within the heterarchy. The assignment for the heterarchy is to find the best plan to accomplish the task so all members will win. It is the collective responsibility of the entire heterarchy to find this “best” solution. Anyone can propose a plan to accomplish the task. All problems related to accomplishing the task would be discussed at length in the heterarchy.</p>
<p>The proposed plan for accomplishing the task would be examined by all members of the heterarchy. Anyone could suggest a modification, or even a completely different alternative plan to accomplish the task — always seeking to maximize the win. All individuals would serve as information sources for each other. The heterarchy would continue in discussion until a plan could be found that worked well for everyone. The goal of the heterarchy is to find that course of action that maximizes the win for everyone, if that is not possible and the group must lose, then the goal becomes to find that action which minimizes loss for everyone. And when loss occurs it is shared equally by all.</p>
<p><span style="color: #000080;"><strong>Organizing Humans</strong></span></p>
<p>Those individuals within even today’s organizations are the ones who collectively “know” the most about the organization, and they certainly “know” best how to organize their own skills, talents and abilities .</p>
<p>In an environment of calmness and trust, two heads really are better than one. And it is the veto that lets this all work.</p>
<p>It is the veto that allows for synergic consenus within the Decision-Heterachy. Synergic consensus requires that all decisions be unanimous. All proposed plans are approved unless they are explicitly vetoed. Any member of the heterarchy can veto any plan in which they or anyone else loses. It is their duty to veto any loss in the system.</p>
<p>Because all loss positions are vetoed, all relationships become win-win. The power of synergic concensus rests on finding the third alternative. A major fact about human performance mental or physical is that it is greatest when the individual is winning. Examine our Olympic atheletes or our Nobel laurates. An environment that allows only win-win relationships will produce major increases in efficiency, productivity, and quality of work-life.</p>
<p>We humans are presently conditioned to expect our relationships to be win/lose. We view most situations from that either/or point of view. Either I win or I lose. It has to be one or the other. Synergy science reveals the third alternative. It may be harder to find, but there almost always exists a third way of doing things so no one loses. Or at worst you are assured that the loss has been minimized and equally shared. This distributes the loss so it has the least negative effect on the individual. This is the win-win way — this is synergy.</p>
<p>When all were in agreement and only then would the plan be implemented. The plan must insure that all members of the group win. Any member can veto a losing plan. Taking the time in decision making to discover the win-win way means that action will be many times more efficient.</p>
<p>In most human organizations today, the boss simply assigns tasks or groups of tasks to each of his selected managers. This is other-directed management — telling the managers what to do. The Ortegrity operates very differently. No one tells anyone what to do. All other-direction is replaced with self-direction. Once the heterarchy has synergically decided on a plan of action, the system negotiates to form an action hierarchy. This is the structure used in implementation. Here, each member’s role is different.</p>
<p><strong><span style="color: darkblue;">Action — Hierarchy</span></strong></p>
<p>Now once the heterarchy has approved a win-win plan of action to accomplish the Synergic Task, the members of the heterarchy begin to form a action team on a negotiated basis. The individuals within the heterarchy divide labor. Action is too large for any single member. Individual responsibility and authority is agreed to through open negotiation. The action team then functions as a hierarchy to carry out the plan. Participation within the system is always voluntary. The members of the team decide how they wish to work together, or even if they want to participate. No one is ever forced to do anything they don’t want to. However no win can occur unless they are successful.</p>
<p>Individuality is a strong feature of the action hierarchy.</p>
<p>Actions are always made heirarchically. All individuals in a heirarchy sit on different levels. They have different authority and responsibility for accomplishing the task. Their individual responsibility and authority is determined by synergic negotiation. Once having reached a decision in heterarchy they begin an open win-win negotiation to divide the labor of the plan. They develop levels of responsibility and authority. But these levels are voluntarily assumed. Again only a unanimous arrangement is permitted.</p>
<p><img src="../wp-content/uploads/2009/06/untitled103.jpg" alt="Org3: " width="312" height="180" border="0" /></p>
<p>All relationships within a Ortegrity are win-win. This is the first principle of an Ortegrity, and all are pledged to uphold it. This is why every member is required to veto any action within the the system in which he or anyone else would lose. The utilization of synergic consensus and synergic negotiation produces very different forms of heterarchy and hierarchy. The forms used within the Ortegrity are nothing like committees with majority rule, or typical other-directed hierarchies. Heterarchy decides using the mechanism of synergic consensus and veto. And hierarchies are created by synergic negotiation of individual responsibility and authority. Synergic means all must win.</p>
<p>There is a division of labor with the individuals negotiating as to levels of  responsibility and authority in terms of implementing the plan. The individuals remain in hierarchy until the task is accomplished. When finished the hierarchy is abandoned and heterarchy reformed to make a new decision.</p>
<p>Ortegrity utilizes a dual mechanism in that everyone within the organization has two identities — two roles. Everyone participates in both decision making and in action implementation. Everyone has both heterarchical and hierarchical functions. The unit of organization with in the Ortegrity is the sub-tensegrity — the Decision-Action Tensegrity.</p>
<p><strong><span style="color: darkblue;">The Rhythm Of Life</span></strong></p>
<p>During implementation, the action team would continue to function until the task was accomplished, then the action hierarchy is abandoned with all members returning to heterarchy to make a new decision about the next task. this of course leading to the creation of a new action team.</p>
<p>Decision —&gt;Action —&gt;Decision —&gt;Action —&gt;Decision —&gt;<br />
Action —&gt;Decision —&gt;Action —&gt;Decision —&gt;Action —&gt;<br />
Decision —&gt;Action —&gt; and on and on and on …</p>
<p>First it configures as a decision-heterarchy, it then considers its task, then one member declares a plan of action. If there are no vetoes, then the heterarchy configures itself into an action-hierarchy. During the action it functions as a hierarchy. Each member standing where he agreed to stand, performing those tasks he volunteered to perform. Once the action is successfully completed, the hierarchy is abandoned and the members return to the heterarchy.</p>
<p>Heterarchy —&gt;Hierarchy —&gt;Heterarchy —&gt; Hierarchy<br />
—&gt;Heterarchy —&gt; Hierarchy —&gt;Heterarchy —&gt;<br />
Hierarchy —&gt;Heterarchy —&gt; and on and on and on…………..</p>
<p>As a balanced system of discontinuous hierarchies and continuous heterarchies, the Ortegrity has the strengths of both heterarchy and hierarchy, and none of their weaknesses.</p>
<p><strong><span style="color: darkblue;">The End of Conflict</span></strong></p>
<p>This system is designed to eliminate all internal conflict. Elimination of all conflict maximizes efficiency, productivity and quality of work-life. All relationships between all individuals within the system are win-win. This is a design characteristic of the system. It is veto power that forces the third alternative — the win-win solution. It is synergic relationship that unlocks human potential. This is the relationship that elimates all conflict.</p>
<p><strong><span style="color: darkblue;">          conflict     :      friction<br />
___________      _________<br />
organizations   :    machinery </span></strong></p>
<p>Using the win-win relationship in organizations is like applying grease to machinery. Japanese corporations are presently 150% more efficient and productive than American corporations. Those companies who choose to restructure as Ortegrities could experience an increase in efficiency and productivity of 1000%.</p>
<p><strong><span style="color: darkblue;">Decision-Action Tensegrities</span></strong></p>
<p>The organizing unit of the Ortegrity then is the Decision-Action Tensegrity. These are also tensegrities. Synergic organization utilizes a tensegrity of tensegrites.</p>
<p>The D-A Tensegrity is a group of between two and twenty humans. The size of a D-A Tensegrity is limited by the complexity of decision making. In a complex area such as in research &amp; development, the ideal size may be six or seven members. In a system with simpler decison making as many as 16 to 20 individuals may form a production D-A Tensegrity.</p>
<p>During decision making the D-A Tensegrity uses the heterarchical form. A heterarchy with seven members is a base seven tensegrity. A two member heterarchy would be called a base two. A three member heterarchy is a base three and so on.</p>
<p>The following illustration of a base seven D-A Tensegrity represents the heterarchical relationship on the perimeter and the hierarchical relationships with direct lines of communication. All individuals have a dual idenity. Their heterarchical role in decision and their hierarchical role in action.</p>
<p><img src="../wp-content/uploads/2009/06/untitled104.jpg" alt="Org4: " width="416" height="240" border="0" /></p>
<p>The organizers using synergic consensus will determine how to structure their Ortegrities. There is no right or wrong way. The way that insures the maximum win and prohibits loss is the best way for a particular system. I expect Ortegrities will be as diverse as life forms.</p>
<p>The “organizer” does not direct the other members of his group. He would instead be responsible for coordinating their organization into an effective team.</p>
<p>The “organizer” begins by presenting the synergic task to the individuals within the heterarchy.</p>
<p>An Ortegrity divides itself into synergic groups in order to function. We can call these groups Decision-Action Tensegrities. Heterarchy is used when making decisions and hierarchy when carring out actions. Each Decision-Action Tensegrities has an “organizer” that functions as coordinator-leader. When the group is making decisions, he/she coordinates the heterarchy. When the group is taking action, he/she leads the hierarchy. Decision-Action Tensegrities can have two to twenty or more members.</p>
<p><strong><span style="color: darkblue;">StartUp Ortegrity</span></strong></p>
<p>A StartUp Ortegrity begins when a single individual commits to using the synergic mechanism of the O.T. to accomplish some goal or set of goals that are beyond his/her abilities as an individual.</p>
<p>The primary organizer first sets about recruiting one or more other individuals to help him or her. The primary organizer will begin by sitting down in heterarchy with the primary group and define the primary task using synergic consensus and veto. The members of the primary Decision-Action Tensegrity all have equal responsibility and equal authority in reaching synergic consensus and defining the primary task.</p>
<p>They discuss things fully. Any member of the group can propose a change to improve or refine the primary task. Only those modifications which find support from all members of the group are implemented. Anyone can veto any proposal in order to prevent loss, or offer a modification to insure a greater win. Only those proposals unanimously agreed to carry.</p>
<p>Once the primary synergic task is defined and unanimously elected by the heterarcy, then a plan for synergic action must be developed using synergic negotiation. Now the members of the heterarchy will accept hierarchichal roles with individual responsibility and authority. If the primary synergic task is within the abilites of the primary Decision-Action Tensegrity to accomplish it,then they accomplish it operating in action-hierarchy. When they are done, they reconfigure back into decision-heterarchy to define their next synergic task.</p>
<p>If however, the synergic task is too large for the primary Decision-Action Tensegrity to accomplish, then part of the primary synergic task will be to make the Ortegrity larger. This is accomplished by having the primary members recruit and organize secondary D-A Tensegrities.</p>
<p><strong><span style="color: darkblue;">TopDown Self-Organization</span></strong></p>
<p>Once all members have agreed to a primary plan of action, they then divide it into smaller secondary plans for distribution among themselves. This results in the self-assignment of tasks. The members of the primary tensegrity, then divide labor through the voluntarily formation of a action-hierarchy to implement the plan. Each “organizer”, the term “manager” is scraped altogether, then takes his task down to the secondary tensegrity which he is responsible for organizing.</p>
<p>The pattern of organization is from the top down. This is not the “other-directed” hierarchy of American Capitalism. The process of organization is from the top down, but the mechanism is “self directed” heterarchy. Only when synergic consensus has been achieved at the higher level can the organizational focus move down to a lower level.</p>
<p>Within the Ortegrity, most “organizers” will function at two levels of tensegrity. Within the primary tensegrity, they are “organized” by the primary “organizer” — the synergic alternative to a CEO. In addition these members are also the “coodinators” of their own secondary tensegrities which they are responsible for organizing.</p>
<p>Within the Ortegrity, those individuals operating at two levels are then both organized and organizers. As members of the primary tensegrity, they are organized by the “primary organizer” — the O’ (called the O prime) and they are also the organizers of their own secondary tensegrities. Each of these is therefore an “organized-organizer” — the O-O  (called the double O).</p>
<p>An organization can have any number of Decision-Action Tensegrities. These Decision-Action Tensegrities can be on different levels. Large organizations would include severay levels of Decision-Action Tensegrities. These different levels are referred to simply as first level, second level, third level and so on in synergic terminology.</p>
<p><strong><span style="color: darkblue;">Compound Tensegrities</span></strong></p>
<p>The following illustration is of a base five, level two O.T.. Twenty five employees with one five-member primary DA-Tensegrity and five (five-member) secondary DA-Tensegrities.</p>
<p><img src="../wp-content/uploads/2009/06/untitled105.jpg" alt="Org5: " width="416" height="240" border="0" /></p>
<p>The central * DA-Tensegrity is the primary Tensegrity. It divides the primary tasks of the company into secondary tasks, these are then carried down to the secondary Tensegrities for solution by the O-Os, “organized-organizers”. In this example the O’ functions as both primary organizer and one of the O-Os.</p>
<p><img src="../wp-content/uploads/2009/06/untitled106.jpg" alt="Org6: " width="416" height="240" border="0" /></p>
<p><strong><span style="color: darkblue;">Ultimately Flexible</span></strong></p>
<p>No known system of organization is more flexible and adaptive then Living systems. The Ortegrity is a pattern of life.</p>
<p>The Ortegrity is ultimately flexible. There can be two to twenty individuals within the base D-A Tensegrities. Bases can be regular — all with the same number of members or irregular — all with different numbers of members or any mixture of regular and irregular.</p>
<p>There can be any number of levels, and any number of branches on each level. The system is so powerful that twelve levels looks like enough for most of our needs.</p>
<p>The following chart is based on a base seven regular tensegrity. All DA-Tensegrities would have seven members.</p>
<table width="500" border="1">
<tbody>
<tr>
<td><center>LEVEL</center></td>
<td><center># of base tensegrities</center></td>
<td><center># of individuals</center></td>
</tr>
<tr>
<td>1</td>
<td>1</td>
<td>7</td>
</tr>
<tr>
<td>2</td>
<td>8</td>
<td>49</td>
</tr>
<tr>
<td>3</td>
<td>57</td>
<td>343</td>
</tr>
<tr>
<td>4</td>
<td>400</td>
<td>2401</td>
</tr>
<tr>
<td>5</td>
<td>2801</td>
<td>16,807</td>
</tr>
<tr>
<td>6</td>
<td>19,608</td>
<td>117,649</td>
</tr>
<tr>
<td>7</td>
<td>137,257</td>
<td>823,543</td>
</tr>
<tr>
<td>8</td>
<td>960,800</td>
<td>5,764,801</td>
</tr>
<tr>
<td>9</td>
<td>6,725,601</td>
<td>40,353,607</td>
</tr>
<tr>
<td>10</td>
<td>47,079,208</td>
<td>282,475,249</td>
</tr>
<tr>
<td>11</td>
<td>329,554,457</td>
<td>1,977,326,743</td>
</tr>
<tr>
<td>12</td>
<td>2,306,881,200</td>
<td>13,841,287,201</td>
</tr>
</tbody>
</table>
<p>A level 12 Ortegrity would be adequate for organizing the entire humans species within a single organization. Recalling that the larger a tensegrity the more powerful it will is. Synergic science predicts this will also be true for human organizations structured as Ortegrities. Therefore, I would expect a trend towards very large organizations.</p>
<p>Imagine, what could be possible if the entire human species were a single organization. No conflict, no wars, no crimes. Is there anything we could not accomplish?</p>
<hr align="left" width="100%" />
<p><span style="color: darkblue;">The power of the</span> <em><strong><a href="http://www.synearth.net/Restricted-Confidential/OT.pdf"><span style="color: blue;">ORTEGRITY</span></a></strong></em><span style="color: darkblue;"> is available to organizations through </span><strong><em><a href="../?page_id=124"><span><span style="color: darkblue;"><span style="color: blue;">BIAS systems</span></span></span></a></em></strong><span>. </span></p>
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		<description><![CDATA[From the Future Positive Archives. Today, I define the ORTEGRITY, this is the third in the series that started with the Discovery in North Carolina of the Organizational Tensegrity, and was followed by my discussion of Heterarchy—The Secret of Japan, Inc.. Defining Ortegrity Timothy Wilken, MD Life’s pattern of organization is the tensegrity, it has been [...]]]></description>
			<content:encoded><![CDATA[<p><span style="color: #00008b;">From the Future Positive Archives. Today, I define the ORTEGRITY, this is the third in the series that started with the </span><a href="http://futurepositive.synearth.net/2011/05/front-page-608/">Discovery in North Carolina</a><span style="color: darkblue;"> of the Organizational Tensegrity, and was followed by my discussion of <a href="http://futurepositive.synearth.net/2011/05/front-page-609/">Heterarchy—The Secret of Japan, Inc.</a>.</span></p>
<h3>
<hr /></h3>
<h1><span style="color: darkblue;">Defining Ortegrity</span></h1>
<blockquote><p><strong><span style="color: darkblue;">Timothy Wilken, MD</span></strong></p>
<p>Life’s pattern of organization is the <a href="http://www.synearth.net/TensegrityHtml/Tensegrity.html">tensegrity</a>,  it has been in use on earth for over three and one half billion years.  The tensegrity is the basis of organizing all living systems including  our own bodies. Up until now we humans have not understood the mechanism  and therefore could not use this pattern to organize our marriages, our  businesses, our organizations and institutions, our communities, or  even the entire human species.</p>
<p>Humans who organize themselves  using the pattern of tensegrity will find themselves orders of magnitude  more efficient, more productive, more creative, more intelligent. More  importantly they will be much more successful in pursuing their goals  and desires.</p>
<p>Within this half century, we humans have developed  ergometric science to help us improve our tool-making. Ergometric  scientists tell us how to best design tools to fit the human form. By  carefully measuring both the physiology and psychology of the human  body, today’s scientists are seeking to determine the best designs for  new tools. They know that the best tools are those that fit you like a  well-tailored glove fits your hand.</p>
<p>Recently ergometric science  has been much advanced by a breakthrough in our understanding of human  intelligence. With the development of the “dual mind” model of human  intelligence it is now possible to design tools that fit the human  “mind-brain”. In other words, we can now ergometrically engineer tools  to fit the way we humans think.</p>
<p>We humans are the toolmakers,  and in our history we have made many tools — both simple and complex.  The most complex and complicated of all our tools are our organizations —  the corporations, institutions, militaries, and governments of earth.  These are also the most important tools in all our lives, for they  significantly influence both the quality and quantity of our lives. Of  all the tools we might seek to ergometrically engineer to fit the human  “mind-brain”, there exists no greater potential benefit for all  humankind then by applying this science to our most complex tools — our  human organizations.</p>
<p>One such tool has recently completed  development, and is now available to organizations for immediate  application. This first ergometrically designed tool for human  organizations is called the Ortegrity. The Ortegrity is a “mind-brain”  compatible system of organizing humans. It can be used by a small group  of individuals or a giant corporation with hundreds of thousands of  employees.</p>
<p>The Ortegrity is a “system of human organization that  creates a conflict-free environment for decision making and action  implementation”. This is an environment so ergometrically suited to  human thinking that efficiency and productivity are predicted to  increase 10 to 1000 times. Yes, that is 10 to 1000 times more efficient  and productive.</p>
<p>The Ortegrity achieves its great power by  creating an ideal psychological environment for human thinking. One  important finding of recent mind-brain research, is “that whenever  humans experience conflict they lose access to their full intelligence”.  When humans are confronted with conflict, their mind-brains shift to a  very primitive and highly reactive way of thinking called the survive  mode. The survive mode  evolved in the jungle to insure physical  survival. Its primary skills are fighting and fleeing. Its extremes are  rage and terror. All humans thinking in the survive mode will find their  intelligence to be severely limited. Access is lost to the faculties of  reason and intuition. In severe conflict, many of us lose even our  ability to speak. Unfortunately, the survive mode turns on with the  slightest conflict, and instantaneously our intelligence begins to  decrease. It is not simply on or off. It is more like the rheostat  dimmer switch controlling a dinning room light. A little conflict will  produce a little loss of intelligence, while a large conflict will  produce a large loss of intelligence. If we remain in conflict for  weeks, then we will operate at limited intelligence for weeks. And in  full rage or terror, we humans access only a tiny fraction of our  potential intelligence. Conflict is to organizations as friction is to  machinery.</p>
<p>The power of the Ortegrity results then from its  unique ability to create a conflict-free state. It is this conflict-free  state that optimizes human intelligence and creativity. It is this  conflict-free state that maximizes efficiency and productivity. It is  this conflict-free state that increases the quality of work-life. It is  the conflict-free state that allows all relationships between all  members to become win-win.</p>
<p>In the difficult political-economic  times ahead, organizations must learn to work smarter. Only by  optimizing the human factor can they hope to survive. The Ortegrity  promises to increase efficiency and productivity by 10 to 1000 times. It  accomplishes this by increasing the intelligence and creativity of all  members in the system. This is working “smartest”. The Ortegrity was  designed to fit the human “mind-brain” like a well tailored glove fits  your hand, it could change the way we all work and live in the future.</p>
<p>When  living systems — the plants, the animals, and our own human bodies are  compared to the best of man-made systems — the corporations, the  institutions, our governments and militaries, Living systems are found  to be one to three orders of magnitude more efficient and productive. By  utilizing the Ortegrity, it appears possible to restructure human  organizations so they are ten to one thousand times more efficient and  productive.</p>
<p><span style="color: darkblue;"><strong>Synergic Consensus</strong> </span></p>
<p>Synergic  consensus is a much more powerful mechanism of decision than the  majority rule of present day committees. All decisions with an Ortegrity  system are made within Decision Heterarchy. A decision heterarchy is  made up of a group of humans with common purpose. The minimum number is 2  the maximum number is presently unknown. I believe the ideal size may  be ~six or seven individuals. The group is organized horizontally with  all individuals sharing equal authority and equal responsibility.</p>
<p>We  humans are most familiar with the committee system. It is very  different than the Heterarchy. While they are both methods of organizing  human individuals to make decisions for group action. Committees are  filled with conflict and highly ineffective. In a committee no  individual is held responsible for the actions taken by the group. And  decision is made by majority ultimatum. A desenting minority member can  support the action he voted against or leave the committee. Heterarchy  of the Ortegrity, in contrast organizes individuals to have equal  authority to decide on joint action with equal responsibility for the  resultant that is produced by that action.</p>
<p>Synergic consensus  occurs when a group of humans sitting in heterarchy negotiate to reach a  decision in which they all win and in which no one loses. In a synergic  heterarchy, all members sit on the same level as “equals”. No one has  more authority than anyone else. Every one has equal responsibility and  equal authority within the heterarchy. The assignment for the heterarchy  is to find a plan of action so that all members win. It is the  collective responsibility of the entire heterarchy to find this “best”  solution. Anyone can propose a plan to accomplish the needs of the  group. All problems related to accomplishing the needs would be  discussed at length in the heterarchy.</p>
<p>The proposed action for  solving a problem is examined by all members of the heterarchy. Anyone  can suggest a modification, or even an alternative action to solve the  problem. All members of the heterarchy serve as information sources for  each other. The heterarchy continues in discussion until a plan of  action is found that will work for everyone. When all are in agreement  and only then can the plan be implemented. The plan insures that all  members of the synergic heterarchy win. All members are required to veto  any plan where they or anyone else would lose. But all vetoes are  immediately followed by renegotiation to modify the plan so the loss can  be eliminated.</p>
<p><strong><span style="color: darkblue;">Unanimous Agreement</span></strong></p>
<p>Synergic  consensus is unanimous agreement. I can hear the objections now.  “That’s impossible, you will never get everyone in the group to agree.”  “Decisions will never get made.” “It is hard enough to get a majority to  agree.”</p>
<p>A Japanese business heterarchy is slower at making  decisions than a single manager in an American business hierarcy. It  takes longer for a group of individuals to discuss, negotiate, and come  to agreement than it takes for a single American manager to decide all  by himself. If the speed of making decisions is the only criteria for  choosing a mechanism of decision making then the business tyrant — the  rule by one is the clear standout.</p>
<p>However, the Japanese have  shown us the disadvantages of other directed hierarchies. Majority rule  committee is not a rapid decision making process. Individuals within a  committee are seeking to gain the majority of support. This takes time —  sometimes a lot of time. The focus is on lining up votes — working  deals — in a word — politics. This process is anything but rapid. If all  decisions in American businesses were made by majority rule, decision  making would probably be even slower than in Japanese companies using  heterarchical consensus.</p>
<p>Synergic consensus is only now becoming  available to humanity. We do not yet know how fast it will be at making  decisions. But, I predict that decision making by synergic consensus  will prove faster than decision making by majority rule. Synergic  consensus elimates conflict. Recall conflict is the stuggle to avoid  loss. Conflict is at the very heart of majority rule decison making. The  focus of synergic consensus is very different. The entire group knows  from the outset that they cannot lose. They are focused on choosing a  plan of action that serves the needs of all the members in the group —  to choose a plan of action that causes no one to lose. The synergic veto  is not invoked capriciously. The only basis for synergic veto is to  prevent someone from losing. This is a mechanism to eliminate loss — to  choose the very best plan of action for everyone. This may well speed up  the process of decison making. In any event regardless of the speed of  decision, implimentation will be rapid. There is no conflict. This is a  major advantage.</p>
<p><span style="color: darkblue;"><strong>The Synergic Veto</strong></span></p>
<p>Synergic  Mechanism accepts the Neutral value — To Prohibit Loss. Those humans  using synergic mechanism desire just as strongly as those using neutral  mechanism not to lose, but synergic mechanism is more. Both parties need  to win. Let us recall our basic definition,</p>
<blockquote><p><strong><span style="color: darkblue;">Co-OPERATION   — def — &gt; Operating together to insure that both parties win and  that neither party loses. The negotiation to insure that both parties  are helped and neither party is hurt.</span></strong></p></blockquote>
<p>Co-Operation  is the mechanism of action necessary whenever an individual desires to  accomplish a task beyond his individual abilities. Imagine, you and a  friend are moving a heavy piece of furniture. Neither of you are strong  enough to move the furniture by yourself. You decide to co-operate — You  decide to operate together during the lifting. You would negotiate to  insure the win — to insure being helped.The conversation might go  like this: “Are you ready?”    “Ok.”    “Ready, 1.. 2.. 3.. lift!” and  if things are going well that is fine, but if one end gets too heavy  then Synergic Co-Operation prohibts loss… “Whoops! Set it down.” This is  the synergic veto.</p>
<p>This is the true meaning of co-Operation —  the negotiation to insure that both individuals win. And the synergic  veto to stop the action if either party is losing. Losing is the only  valid use for synergic veto. All synergists are required to immediately  veto any action in which they or anyone else would be harmed — any  action in which they or anyone else would lose.</p>
<p><strong><span style="color: darkblue;">No-win Scenarios</span></strong></p>
<p>Remember,  even when you use synergic mechanism you can’t always win. There will  times when the contraints facing a synergic group are such that loss is  unavoidable. Synergic mechanism strives to make this a rare situation,  but loss will occur. If you can’t find a win-win scenario to clear a  synergic veto, then synergic mechanism dictates the group must admit and  accept the inevitability of loss. When a No-Win situation occurs, the  synergic group shifts its focus to finding that action or solution that  will minimize the loss. And then, whatever the loss is, it must be  shared equally.</p>
<p>In synergy, we are one. In synergy are equal. In  synergy we strive to win together. But if we are forced to lose, then  we will lose together — this means we will all share equally in the  loss.</p>
<p><strong><span style="color: darkblue;">Synergic Equality</span></strong></p>
<p>The  basic unit of synergic organization is a synergic group organized as  heterarchy. All members of a synergic heterarchy are equal. They share  equal responsibility for the actions chosen by the group. They share  equal authority in the process of choosing those actions. When  individuals work together in synergic relationship to a accomplish a  common goal. They are considered as a single system.</p>
<p>When  individuals work together in synergic relationship, new abilities,  skills, talents, etc., emerge as a part of that relationship, that are  not there when the individuals work separately. The individuals working  in synergic group are more efficient, more productive, more creative,  and more intelligent, than they are when working separately. The result  of their synergy is that they create “more” together than they could  create apart. This “more” is Haskell’s “Co-Operators’ surplus”.</p>
<p>When  individuals work together in synergic relationship, they equally  contribute to the synergic emergents, and will share equally in the  Co-Operators’ surplus. Haskell’s “Co-Operators Surplus” is property and  it is owned equally by all who synergized within the synergic group to  create it. Within a synergic group all members commit to the Six Tenets  of Synergic Equality.</p>
<blockquote><p><span style="color: darkblue;">1) In synergy, I am ONE with my associates. </span><span style="color: darkblue;">2) In synergy, I am MORE with my asscociates than by myself. </span></p>
<p><span style="color: darkblue;">3) In synergy, I am EQUAL to all my associates. </span></p>
<p><span style="color: darkblue;">4) In synergy when we WIN, I will win MORE with my associates than by myself and I will share equally in the GAINS. </span></p>
<p><span style="color: darkblue;">5) In synergy, when we LOSE, I will lose LESS with my associates than by myself and I will share equally in the LOSSES. </span></p>
<p><span style="color: darkblue;">6) In synergy, we will win together or lose together, but we are TOGETHER.</span></p></blockquote>
<p><strong><span style="color: darkblue;">SYNERGY — Working Together</span></strong></p>
<p>In  synergic relationship individuals continue negotiating to insure the  win, In synergic relationship, all players are focused on winning.  Everyone is seeking help. The game calls for only winners, there is no  need for loss. Each player is expected and encouraged to veto any  suggested plan wherein they would lose. It is of primary importance in  synergic relationship to veto all loss positions. Failure to do so  instantly shifts the relationship back to adversary, with the immediate  return of conflict. In contrast, since there are no losers in synergic  relationships, there is also no conflict. And because obtaining help by  helping others attracts the highest quality help, real winners seeks  synergic help. Seek always synergic help by making sure that those who  help you also win. Be sure they understand how their helping you will  also help them. Use the following approach to help you succeed.</p>
<p>Whenever  you encounter conflict in a potential helper, they are struggling to  avoid loss. This means they believe they will lose by helping you.</p>
<blockquote><p>1)  Analyze the relationship, if your potential helper is really losing,  then modify the plan so they will win. To proceed without modifying your  plan will only continue conflict and get you only the lowest quality  help.2) If the potential helper simply misunderstands, and in fact  he really does win, then explain why he misunderstands, or fill in the  information as to how he wins. When he knows he will win by helping you —  he will immediately seek co-Operation.</p></blockquote>
<p><span style="color: darkblue;"><strong>TRUSTING — Synergic Attitude</strong> </span></p>
<p>The  most powerful strategy one can use in our present world then is to seek  synergic relationship. But survival requires you to avoid individuals  comitted to adversary relationships. They too, are seeking to make you  help them — the adversary way needs losers.</p>
<p>Synergists are  sometimes mistaken by adversary players as weak adversaries. This is not  the case. A good synergist immediately notices any loss, and will seek  co-operation. If relationship where both parties win cannot be  negotiated, then the synergist will break off a relationship with the  committed adversary.</p>
<p>Synergists don’t fight or flight; they  communicate and negotiate. They understand to fight or flight is to  abandon the synergic way for instant conflict — for instant hurt — for  instant loss. The synergic individual desires always to win. He seeks  synergic relationship to increase his chances of winning.</p>
<p>Anytime,  the synergist is not winning, he seeks to renegotiate. If he is unable  to co-Operate, he chooses not to conflict. He simply ends the  relationship with the least possible loss. He lives the attitude of the  good synergist. I am a helper, and therefore I will help you, and trust  you to help me. I will seek to help all my fellow humans, but my  resources are limited, and in the long run, I must help those who help  me.</p>
<p><strong><span style="color: darkblue;">Avoiding Ultimatums</span></strong></p>
<p>Ultimatum  is an adversary condition when the stronger forces the weaker to lose.  This can occur between two individuals or between two nations. For  example, let us assume that two individuals decide to help each other —  that is they decide to work together — to form an “us”. These  individuals will discover their individual preferences are constrained  by their joint life. Because they share resources, they can’t both live  in their favorite city, or in their favorite house, or own their  favorite automobile, unless by chance they have identical favorites. The  “us” is formed to gain the power and advantage of interdependence.  Interdependence’s “division of labor” improves the standard of living  for both, but the price for the higher standard of living is that the  choices of both individuals are constrained by the needs and wants of  the other.</p>
<p>In the adversary relationships, we experience this  constraint as the ultimatum. The ultimatum is an opportunity to lose.  You can lose-a-little or you can lose-a-lot, but you will lose.</p>
<p>Imagine, a husband comes home from work. He says to his wife,</p>
<p>“Well,  I lost my job today. I have had it with the bay area. We are going to  move to Los Angeles, there are good jobs there.” His wife counters,  “But, I don’t like Los Angeles. The kids and I will lose, if we have to  move to Los Angeles.” The husband plays the trump card. “Well you can  either go to Los Angeles or you can get a divorce. Its up to you, but  I’m moving to L.A.”</p>
<p>Which do you want? — a broken arm or a  broken leg? Your choice is between losing-a-little by moving to a  community you don’t like, or losing-a-lot by getting a divorce, but you  are going to lose.</p>
<p><span style="color: darkblue;"><strong>Seeking Bindings</strong> </span></p>
<p>Now  constraint is placed on any group of individuals who choose to live or  work together. This is a law of physics. Constraint does not go away in  the synergic relationship. But it remains only a constraint, and not a  compromise. In synergic relationship, you are never forced to lose. You,  in fact, are encouraged and expected to veto all losses. The only path  the two of you agree to walk is one in which you both win. In synergic  relationship there is no loss. You may win-a-lot or you may  win-a-little, but you will win.</p>
<p>The synergic alternative to the  ultimatum is called the binding. It is the contract that results from  the negotiation to insure the win — co-Operation. It is the contract  establishing a relationship in which you both win in which you both are  helped.</p>
<p>Imagine, our husband coming home who enjoys synergic  relationship with his wife. “Honey, I got laid off today, I have really  had it with the bay area. I just can’t stay here anymore. I feel like  I’m losing.” “Well, where do you want to go?” “Los Angeles, I hear there  are good jobs down there.” “No, the kids and I would lose in Los  Angeles. How about Denver?” “Okay, I could live with that. Let me check  the job market tomorrow.”</p>
<p>In synergic relationship there is no loss. You may win-a-lot or you may win-a-little, but you will win.</p>
<p><strong><span style="color: darkblue;">Life Utilizes Synergic Consensus</span></strong></p>
<p>Today,  mind and brain scientists have made enormous progress in understanding  how the human brain works. There has been many surprises in these recent  advances. But the biggest shocker is that the brain doesn’t decide what  to do. Decision making is not controlled centrally in the brain. The  mind-brain appears to act as a coordination and consensus system for  meeting all the needs of the cells, tissues, and organs of the body. The  brain doesn’t decide to eat. The cells of the body decide to eat, the  brain coordinates their activity and carries out the consensus will.</p>
<p>Our  human brain stores the gathered information from the body’s sensing of  its environment, the brain presents opportunities for action reflective  of both the sensing of environment and the needs and goals of the  40,000,000,000,000 cells it serves. The brain is not the leader of the  body, it is the follower of the body. It is a system that matches needs  of the body with its sensing of opportunities to meet these needs by  action within the environment. The brain is a ‘synergic government’ that  truly serves its constituents — the cells, tissues, and organs that  make up the human body. The body is governed by unanimous consensus and  has survived millions of years.</p>
<p>The apparent ‘I’ is not real. It  is really a ‘we’. We humans have mistaken the self-organization of  synergic consensus for the directed organization of an ego decider.</p>
<p>If  the human body can using unanimous rule democracy and synergic  consensus can organize and coordinate the actions of 40,000,000,000,000  cells so totally that we identify the whole organism as a single  idividual, then we humans should be able to use these same mechanisms to  organize our species and solve our human problems.</p>
<p><a href="http://www.synearth.net/Restricted-Confidential/OT.pdf"><span style="font-size: x-small;"><strong>Read the full description of ORTEGRITY</strong></span></a></p></blockquote>
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		<description><![CDATA[A graduate of Harvard Medical School and Professor Emeritus of the University of North Carolina School of Medicine, Dr. N. Arthur Coulter is a synergic science pioneer. He began searching for a better way for humanity over 50 years ago. In 1983, we would meet and work together. By co-Operating, we would discovery the organizational tensegrity. [...]]]></description>
			<content:encoded><![CDATA[<p><span style="color: darkblue;">A graduate of Harvard Medical School and  Professor Emeritus of the University of North Carolina School of  Medicine, Dr. N. Arthur Coulter is a synergic science pioneer. He began  searching for a better way for humanity over 50 years ago. In 1983, we  would meet and work together. By co-Operating, we would discovery the  organizational tensegrity.</span><span style="color: #000080;"> &#8230; Reposted from the Future Positive Archives. </span></p>
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<h1 style="font-family: times new roman;"><span style="color: darkblue;">Discovery in North Carolina</span></h1>
<blockquote style="margin-right: 0px;" dir="ltr"><p><strong><span style="color: darkblue;">Timothy Wilken, MD</span></strong></p>
<p>Independent of me, another synergic scientist N. Arthur Coulter, Jr.,  MD had been seeking to develop an ideal system of organization for  human beings. He defined ideal as that system that would maximize both  freedom, and quality of life for all within the system. He was the  author of <strong><span style="color: darkblue;"><a href="http://www.synearth.net/coulter/synergetics.pdf"><em>SYNERGETICS:</em> An Adventure in Human Development</a></span></strong>.  I discovered him by purchasing his book based on its title from a  science catalog. I was so impressed with his book that I took a chance  and wrote him. We soon developed a long distance friendship.</p>
<p>Coulter was also searching for a better world. He had realized that  with the dropping of the Atomic bomb on Japan, humanity had reached a  crossroad. That our weapons were now of such power that they threatened  us all with extinction. He concluded:</p>
<blockquote style="margin-right: 0px;" dir="ltr"><p>“What is needed is  nothing less than a major evolution of the human mind, which would give  the rational, humane part of the mind a much greater control over the  emotional part.”</p></blockquote>
<p>Coming out the Army at the end of 1945, Coulter switched his focus  from Mathematics and entered Harvard Medical School. He said he needed  to learn all he could about the human brain and mind. Thirty years  later, he was Chairman of the Department of Biomedical Engineering at  the University of North Carolina School of Medicine. But whenever he  wasn’t teaching medical students, his focus was on understanding human  thinking and human relationships.</p>
<p>In March of 1983, I traveled from my home on the west coast of  Northern California to meet with Dr. Coulter. From Chapel Hill, we  traveled by car a small private retreat he had built on a lake in nearby  Virginia. It was a beautiful and very quiet place ideal for thinking  and corroboration. He called it Synergia.</p>
<p>The purpose of our meeting was two-fold, first to share our research  findings about human relationships, behavior, and thinking, and then to  design or at least establish criteria for designing a “conflict-free”  organizational system for humankind. As synergic scientists, we both  believed an ideal system would be based on win-win relationships.</p>
<p>As our discussions began, I felt sure the system would be a form of  capitalism. I had studied theoretical capitalism for a number of years.</p>
<p>One captitalistic theorist, <strong><span style="color: darkblue;">Andrew J. Galambos</span></strong> had proposed an advanced capitalistic system which was non-coercive.  Its underlying premise was to eliminate and prohibit loss. Galambos’  proposed system did not insure win-win relationships, but it promised to  eliminate losing relationships. Galambos’ system was a type of  SuperNeutrality. It allowed win-draw, draw-win, draw-draw, or win-win.  It was committed to the protection of property. But, the definition of  property was expanded to include your life, freedom, ideas, and actions.  Galambos’Capitalism was a much more powerful form than exists today.  With its absolute prohibition of injuring others, it can be thought of  as Moral Capitalism. Its tenets included the absolute protection of  property, individual freedom, and total responsibility.</p>
<p>Galambos’s “SuperNeutrality — Moral Capitalism” retained many of  Neutrality — Capitalism’s value systems. In 1983, I shared most of these  values. However, even then I knew there was an even better way  possible. I felt Galambos’s system could be modified into the synergic  system we were seeking. I envisioned the ideal system would be a form of  Synergic Capitalism — win-win capitalism.</p>
<p>As a synergy scientist, Coulter was sensitive to the wholistic view —  a view he associated with theoretical socialism. He felt the needs of  the species were more important than the needs of the individual. As the  Star Trek character Spock said, “The needs of the many outweigh the  needs of the few, or the one.”</p>
<p>Unaware of Galambos’s work, Coulter assumed all capitalistic  structures had to be based on win/lose dynamics, and therefore he was  opposed to them on principle. Coulter envisioned a form of Synergic  Socialism — win-win socialism.</p>
<p><strong><span style="color: darkblue;">Stalemate — Warring Ideologies </span></strong></p>
<p>Socialism and capitalism are often polarizing words in our culture.  And, Coulter and I also had our hidden assumptions. We discussed the  issues long into that first night. And yet as adaptive and open as  Coulter and I might hope to be, we were starting very far apart.</p>
<p>Over breakfast the next morning, we both shared our concern over the  risk of a stalemate. It seemed our starting premises were exclusionary.  The ideal system couldn’t be both capitalistic and socialistic.  Capitalistic — Socialism or Socialistic — Capitalism? It just didn’t  work.</p>
<p>Above all else Coulter and I were committed to the scientific way. As  scientists, we knew all beliefs were only models of how Nature works.  That all models were only temporary, even the best were theoretically  obsolete on the day they are made. All models would someday to be  replaced with better ones. Newton’s model of Universe served us well for  over two hundred years, but Einstein’s model of Universe replaced it  all the same. Everyday somewhere on the planet a human being is  discovering something new about Nature that will eventually change all  of our opinions. We both agreed that all present political systems were  adversary systems. That all present systems were and are coercive   systems. Our committment to synergy’s win-win principle required that  Coulter and I be apolitical. We could not endorse any political system.  Our interest in theoretical capitalism or theoretical socialism related  only to their underlying patterns of organization.</p>
<p>We also agreed that finding the ideal organizing strategy for  humankind was important if not critical. Neither of us wanted a  statemate. We both committed to openly considering the other’s point of  view, and further pledged a willingness to modify our positions based on  the power of each other’s arguments. But after hours of discussion, I  still believed the ideal system would be a form of synergic capitalism,  and Coulter believed it must be some form of synergic socialism.</p>
<p><strong><span style="color: darkblue;">Korzybski’s General Semantics</span></strong></p>
<p>We decided to formalize our discussions by utilizing the powerful  communication science — General Semantics. Alfred Korzybski originated  General Semantics to take the misunderstanding out of communication. He  is quoted as saying:</p>
<blockquote style="margin-right: 0px;" dir="ltr"><p>“There can be no disagreements only misunderstandings. We are all looking at the same universe, in the end we must agree.”</p></blockquote>
<p>I hoped Korzybski was right, and that Coulter and I would somehow  discover we were only misunderstanding each other. But I had my doubts,  capitalism and socialism — could they ever be resolved into a single  system? No, it had to be either one or the other.</p>
<p>I hoped General Semantics would lead us to an answer. If it was to be  socialism, then I was willing to change my position. But Coulter, would  have to prove he had a better system.</p>
<p>After breakfast, I began by presenting the basic postulates  underlying theoretical capitalism and its underlying relationship to  hierarchical strategy, and then Coulter presented the basic postulates  of theoretical socialism and its underlying relationship to  heterarchical strategy. First I would teach him, then he would teach me.  We alternated back and forth.</p>
<p>By late in the afternoon of our second day, we had both learned a  lot. I was beginning to see the power and value of heterarchy, and  Coulter was discovering the power and value of hierarchy. Both of us had  held a number of false assumptions about the other’s position. However  no real progress was made towards our ideal system. And, we still found  ourselves butting heads over the terms capitalism and socialism. It  seemed both of us carried strong emotional opinions about the terms in  our unconscious. Our strong emotional attitudes seemed to block any hope  for a solution in the little time we had available. If we didn’t change  our focus, hope for any meaningful solution would be lost. Because our  unconscious attitudes were sabotaging our efforts, we agreed to drop the  terms capitalism and socialism completely from our discussion.</p>
<p><strong><span style="color: darkblue;">Beyond Capitalism &amp; Socialism</span></strong></p>
<p>Coulter and I both agreed that what was really important was to  create a system that produced only win-win relationships. If we  succeeded at that, then whether it was “capitalistic” or “socialistic”  might not really matter. At this point, we agreed to change our focus to  “hierarchy” and “heterarchy”. We began seeking a unique system that  would transcend both capitalism and socialism — perhaps we could call it  simply synergism.</p>
<p>I began by discussing the underlying structure of capitalism. I felt  that even if the ideal system wasn’t capitalistic it would still have to  retain hierarchy.</p>
<p>Hierarchy is a vertical system with many levels of organization.  Those with greatest responsibility and authority occupy the higher  levels. Hierarchy creates a feeling of difference or individuality.  Individuals within the system see each other vertically, “He is over  me.” “I work under John.” “He is way up in the company” “She is the  lowest one on the totem pole.”</p>
<p>Hierarchy is humanity’s oldest organizing strategy. It was born in  the jungle, was nurtured in the cave, grew up in the tribe, blossomed  with feudalism, and today dominates nearly all the corporations,  institutions, governments, and militaries of earth. Hierarchy is often  experienced as the chain of command or pecking order. It is most  formalized in military combat.</p>
<p>In business organizations, hierarchy is often experienced as an  extension of the personalities of those individuals who founded the  company. The operating policies of the company are a reflection of the  values of the individual founders. Individuals with similar values are  often selected to continue the company. So we see the primary concerns  of a hierarchy are the goals of those few individuals that control it.</p>
<p>This is why American companies have individual decision making, and  individual responsibility. Hierarchy has a particulate focus because  goals are particular to the individuals who create them.</p>
<p>Hierarchy’s focus on the individual does lead to the stimulation of  individual innovation, creativity, and originality. This leads to the  development of a few individual stars who tend to dominate the company.  Individuality has its strengths — one of which is rapid decision making.  One individual can always decide much quicker than a group. I highly  valued the individual and felt reliance on the best individuals had to  be good for the whole group. Now it was Coulter’s turn to speak for  heterarchy.</p>
<p>Coulter was just as sure the ideal system must be a heterarchy. His  commitment to heterarchy was supported by research findings which  revealed human relationships are optimized when humans feel they are  valued at the same level.</p>
<p>The primary organizing strategy of theoretical socialism is  heterarchy, this is in sharp distinction to political socialism which is  usually hierarchical.</p>
<p>Heterarchy is a very different breed of organizational strategy than  hierarchy. It is a horizontal system with only one level of  organization. All are equal within the heterarchy. Individuals within  the system see each other as  being on the same level. “We are a team.”  “Its like a family rather than a job.” “We all respect each other.”</p>
<p>Heterarchy is ideal for communication and discussion, because it   allows for the sharing of responsibility and authority within an  informal environment. Task assignments following open discussions,  produce more cooperative working relationships. In a setting where  associates feel valued, openness and integrity emerge. Individuals often  take much greater roles in the tasks of their departments. In this  setting, there is less conflict, and this usually results in improvement  in efficiency, productivity, and quality of work-life.</p>
<p>Heterarchy creates a feeling of oneness — a feeling of community.  Members of a heterarchy strongly identify with the whole system. Morale  and espirit de corps are optimized. Because heterarchy is highly  inclusive, all feel that they are a part of the system. This is in  strong counter distinction to hierarchy’s exclusiveness. Individuals  within heterarchy tend to protect the system. Individuals within  hierarchy often ignore the system, and sometimes even attack it. The  wholistic focus of heterarchy is on the needs of the whole organization.  This wholistic focus leads to collective decision making and collective  responsibility.</p>
<p>Decision making in heterarchy is slower. It takes time to gain the  consensus of all the individuals within the heterarchy. However,  implementation is much more rapid because the attitudes of those  responsible for implementation have been considered in the decision  making process. This not only eliminates conflict, but also encourages  all members to feel responsible for the successful implementation of the  decision. Anyone who has ever built a house knows it is much less  expensive to erase lines on a paper, than to demolish mortar, brick, and  stone.</p>
<p>As we focused more tightly, our discussions intensified, and to our  mutual surprise we began to discover much agreement. Both hierarchy and  heterarchy were emerging as valid strategies. They could both be seen to  have major utility. They were very different, but equally valid methods  of organizing. Heterarchy seemed better for meeting the needs of the  whole system, while hierarchy seemed better for accomplishing the goals  of the individuals within the system.</p>
<p>Heterarchy reduces conflict by seeking consensus. This appears to be  the secret of its success. This is also why we see slow decision making,  but rapid implementation. Hierachy produces rapid decision making, but  slow implementation. Individual decision making always occurs with  minimal knowledge of the attitudes of those who will be responsible for  implementation. This lack of awareness produces inevitable conflict  which slows and limits the success of implementation.</p>
<p>Neither seemed universally superior, heterarchy worked best in some  areas, but hierarchy clearly worked better in other areas. But despite  our agreement, if our two positions were found to be equally valid, then  which one should we use? Our discussion of heterarchy and hierarchy did  not trigger the emotional reactions that discussing socialism and  capitalism had, but we seemed no closer to our goal than we had the  first day. Heterarchy and hierarchy seemed to be exclusionary as  capitalism and socialism. It had to be either heterarchy or hierarchy,  it could’t be both.</p>
<p>Exhausted, we decided to break. Coulter invited me to take a walk  along the lake that bordered his property. For some minutes we walked in  silence, both of our minds grateful for the rest. Eventually, we  reached a pleasant spot beside the lake and we sat down.</p>
<p>A few sailboats could be seen on the lake chasing the spring breeze.  The scene was pleasantly reassuring, no sign of the troubled world that  had prompted our quest for a new way for humankind. I thought of all the  years I had been seeking a better way. It seemed so long ago that this  journey had started. Even as a child, I had believed in a world without  conflict. Coulter too seemed quietly sad, he too had been searching for a  long time. His journey had begun even before my birth. I lay back and  closed my eyes. The noise of the water gently laping against the  shoreline began to soothe my troubled mind.</p>
<p><strong><span style="color: darkblue;">Beyond Right &amp; Wrong</span></strong></p>
<p>Later, as we lay by the lake, Coulter told me of a powerful thinking tool he had developed:</p>
<blockquote style="margin-right: 0px;" dir="ltr"><p>“When I find I am confused, I test the idea by placing it in the following multiple-point-of-view rotary.</p>
<p>“The “idea” is right.<br />
“The “idea” is wrong.<br />
“The “idea” is neither right nor wrong.<br />
“The “idea” is both right and wrong.</p>
<p>“First, I think of all the examples of when and where the idea is  right, then of all the examples of when and where the idea is wrong.  Then I look for examples where or when the idea doesn’t seem to apply,  and finally I think of examples when the idea seems paradoxical — both  right and wrong simultaneously. I have used this tool many times, and I  have always understood the idea much better because of it.”</p></blockquote>
<p>After resting a few more minutes we slowly walked back to his cabin.  Following a break for supper, we resumed our discussions. We continued  to learn from each other, but agreement seemed no nearer.</p>
<p>Alone, in my room preparing for bed, I took Coulter’s advice and jotted down his rotary.</p>
<blockquote style="margin-right: 0px;" dir="ltr"><p>Hierarchy is right.<br />
Hierarchy is wrong.<br />
Hierarchy is neither right nor wrong.<br />
Hierarchy is both right and wrong.</p>
<p>Heterarchy is right.<br />
Heterarchy is wrong.<br />
Heterarchy is neither right nor wrong.<br />
Heterarchy is both right and wrong.</p></blockquote>
<p>As I lay down to sleep the rotary kept dancing in my head. Coming  into our meeting, I had never felt so sure. How could so many things  that seemed certain suddenly become so uncertain?</p>
<p>How could things be so right and so wrong all at the same time? What  is the value of our science, if it can’t answer our questions?</p>
<p>And tomorrow, was our last day.</p>
<p><strong><span style="color: darkblue;">Last Day</span></strong></p>
<p>The third morning, we began our discussions on mind-brain science.  This has been a primary focus of both Coulter’s and my research for a  number of years. Here we found an abundance of agreement. By midday we  had reached a number of accords concerning human thinking. As we broke  for lunch, we were pleased with this progress.</p>
<p>As this was scheduled to be our last day of meeting, we agreed to try  for the ideal system once more after lunch. Coulter was still committed  to heterarcy, but I had opened his eyes to hierarchy. Likewise my eyes  were now open to heterarchy, although I still leaned toward hierarchy.</p>
<p>The night before I had completed outlining the operation of a  hierarchy, so it was Coulter’s turn to talk. Coulter began to describe  his ideal heterarchical system in terms of decision making and project  execution.</p>
<p>Coulter’s voice modulated with excitement as he described the  “heterarchy with  mission teams”. He had imagined a system of associates  that were organized as a heterarchy. All members would sit on the same  level as equals. No one would have more authority than anyone else. All  problems and projects would be discussed at length in the heterarchy.  All individuals would serve as information sources for each other,  however participation was always voluntary.</p>
<p>Coulter leaned forward, “Now any individual would be free to declare a  mission. Then other members of the heterarchy could examine the mission  and participate on a negotiated basis in the creation of a mission  team. If a declared mission found no voluntary allies, it would die for  lack of support.”</p>
<p>“What would be the structure of the mission teams?”, I asked.</p>
<p>“The teams will be organized any way they like, remember it’s all  voluntary. The individuals of the heterarchy will decide how they want  to organize themselves, or even if they want to participate.</p>
<p>“Only those missions adequately supported by the heterarchy could  occur. All involved would be voluntarily participating. Committment  would be 100% . When a mission was over the team would return to the  heterarchy.”</p>
<p>“Could the mission team be a hierarchy?”, I asked.</p>
<p><strong><span style="color: darkblue;">EUREKA </span></strong></p>
<p>Coulter paused momentarily stunned. He seemed deep in thought, then  he relaxed with a sigh and responded, “I had never really thought about  the structure of the mission team. Yes, I think you are right. The  structure of the mission team would be a hierarchy.” He paused again,  deep in thought, then continued, “But with an important difference from  many hierarchies because everything is voluntary.”</p>
<p>I realized he was describing negotiated hierarchy, a powerful form of  hierarchy that served a vital role in Galambos’s non-coercive  capitalism. As Coulter continued talking, I saw the heterarchy in my  mind’s eye begin to move. First, there was the heterarchy, then one  member of the heterarchy declared a mission. The heterarchy suddenly  configures itself into a mission hierarchy — a negotiated hierarchy.  During the mission it functions as a hierarchy. Each member standing  where he agreed to stand, performing those tasks he volunteered to  perform. The system was strongly self-organizing. Once the mission was  completed, the hierarchy was abandoned the members return to the  heterarchy.</p>
<blockquote style="margin-right: 0px;" dir="ltr"><p>Heterarchy becoming  hierarchy becoming heterarchy becoming hierarchy becoming heterarchy  becoming hierarchy and on and on and on………….</p></blockquote>
<p>The model danced in my head. Always a heterarchy, occasionally a  hierarchy. The heterarchy was the continuous pull — always pulling  information. The hierarchy a discontinuous push — only occasionally  pushing out a mission. Coulter was describing a tensegrity. A tensegrity  made up of heterarchy and hierarchy.</p>
<blockquote style="margin-right: 0px;" dir="ltr"><p>Hierarchy is both right and wrong.<br />
Heterarchy is both right and wrong.<br />
Hierarchy is neither right nor wrong.<br />
Heterarchy is neither right nor wrong.</p></blockquote>
<p dir="ltr">In a flash, Coulter and I had got what we were after. I had  been blind to heterarchy and he to hierarchy. But there it was, both  strategies in one system. I had not come to North Carolina looking for  tensegrities, and Coulter had never even heard of a tensegrity. And yet,  his “heterarchy with mission teams” was in fact a tensegrity — a  tensegrity with an equal balance of heterarchy and hierarchy.</p>
<p>There are no accidents in Nature and the tensegrity is no exception.  This is the way we humans were meant to organize. Life’s most powerful  organizing strategy for us is the organizational tensegrity.</p>
<p style="text-align: right;"><span style="font-size: xx-small;">To be continued …</span></p>
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