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L. K. Samuels -
Complexity
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The parity pushers fail to see the subtle grays of complexity in all of its tortured and messy manifestations. With swords held high, they ride forth and exploit every possible weapon in the political arsenal. Equality is to be imposed, unevenness and nonlinearity banished to the nether world. Science is politicalized for mass consumption, and natural laws are summarily supplanted by ideological 'correctness.'
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Political structures are excessively paternalistic, and to maintain them requires a high level of energy. The massive amounts of energy they consume are unsustainable and invite political meltdowns, bailouts, and fallout. On the other hand, proponents of complexity theory take the paradigm–shattering view that less is more. They understand that, paradoxically enough, the complexity of simplicity is the key to the emergence of systems, repeatable patterns and the social glue that holds community together and creates order. Anyone can make simplicity complicated; it takes a true genius to make the complicated simple.
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The field of economics is not exempt from the consequences of chaos and complexity. Marketplaces are indeterminate; value is subjective; and outcomes are subject to interpretation. Economic forecasting is just as nebulous, being based on the probability of statistical information that may or may not be accurate.
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The more complexity, the more unpredictability and therefore the more uncontrollability. You cannot control what you cannot predict.
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Complexity scientists concluded that there are just too many factors—both concordant and contrarian—to understand. And with so many potential gaps in information, almost nobody can see the whole picture. Complex systems have severe limits, not only to predictability but also to measurability. Some complexity theorists argue that modelling, while useful for thinking and for studying the complexities of the world, is a particularly poor tool for predicting what will happen.
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Complexity has always been difficult to resolve and to understand. Evolutionary biologists were among the first scientists to recognize this problem, when they dug their way toward new theories about evolution. They discovered that matter does not lack purpose.
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The problem of complexity is at the heart of mankind's inability to predict future events with any accuracy. Complexity science has demonstrated that the more factors found within a complex system, the more chances of unpredictable behavior. And without predictability, any meaningful control is nearly impossible. Obviously, this means that you cannot control what you cannot predict. The ability ever to predict long-term events is a pipedream. Mankind has little to do with changing climate; complexity does.
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Complexity has the propensity to overload systems, making the relevance of a particular piece of information not statistically significant. And when an array of mind-numbing factors is added into the equation, theory and models rarely conform to reality.
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Under complexity science, the more interacting factors, the more unpredictable and irregular the outcome. To be succinct, the greater the complexity, the greater the unpredictability.
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Simplicity in a system tends to increase that system's efficiency. Because less can go wrong with fewer parts, less will. Complexity in a system tends to increase that system's inefficiency; the greater the number of variables, the greater the probability of those variables clashing, and in turn, the greater the potential for conflict and disarray. Because more can go wrong, more will.
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The inherent nature of complexity is to doubt certainty and any pretense to finite and flawless data. Put another way, under uncertainty principles, any attempt by political systems to 'impose order' has an equal chance to instead 'impose disorder.'
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Order is not universal. In fact, many chaologists and physicists posit that universal laws are more flexible than first realized, and less rigid—operating in spurts, jumps, and leaps, instead of like clockwork. Chaos prevails over rules and systems because it has the freedom of infinite complexity over the known, unknown, and the unknowable.
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Things evolve to evolve. Evolutionary processes are the linchpin of change. These processes of discovery represent a complexity of simple systems that flux in perpetual tension as they teeter at the edge of chaos. This whirlwind of emergence is responsible for the spontaneous order and higher, organized complexity so noticeable in biological evolution—one–celled critters beefing up to become multicellular organisms.
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Decentralized systems are the quintessential patrons of simplicity. They allow complexity to rise to a level at which it is sustainable, and no higher.
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Every system that has existed emerged somehow, from somewhere, at some point. Complexity science emphasizes the study of how systems evolve through their disorganized parts into an organized whole.
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A self–organizing system acts autonomously, as if the interconnecting components had a single mind. And as these components spontaneously march to the beat of their own drummer, they organize, adapt, and evolve toward a greater complexity than one would ever expect by just looking at the parts by themselves.
L. K. Samuels
Quote of the day
When the moon is in the seventh house, And Jupiter aligns with Mars, Then peace will guide the planets, And love will steer the stars; This is the dawning of the age of Aquarius.
James Rado
L. K. Samuels
Wikipedia
Born:
December 7, 1951
(age 72)
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