. . . INTRODUCTION
Examining the manner in which financial news is reported in the popular media, Think proposes to create a system whereby live-update, rss-technology, and financial and editorial expertise, come together to produce a reliable up-to-the-minute resource for evaluating broad economic trends and engagements, without limiting analysis to single-parameter references like GDP or individual stock indices.
It is often thought that in order to organize ideas or to put some kind of order to any analysis, one needs uniformity, a limited number of generic categories and a single system of uncomplicated parameters by which to categorize each subject under review. But the truth is, this uniformity is not and will not be the rule of any part of lived reality.
To emerge from the fog of flawed, incomplete and opportunistically limited economic and financial analysis, means we need to come to grips with the fact that all resources, all functions or 'services', be they natural or the product of human ingenuity, figure somehow in economic values at all levels. There may be no clear way to quantify their contribution or mercantilize them, but they are there, and nothing can be fully understood in economic terms without seeing this.
We could calculate, for instance, that to do by artificial means what nature does of its own accord in a handful of basic environmental 'services' (such as climate stabilization or the global fresh water supply—avoiding discussions of such complex processes such as new species evolution, deep-sea current patterning or ultraviolet light blockage and refraction), we would have to spend well in excess of 10 times the entire global economic output (using GDP in sum as a base).
This helps us to take note of the immense ecological influence we have erased from economic calculations, seeing it as inconvenient or in realistic terms unquantifiable. But it does not help us to place a useful economic value on such influence over the economic infrastructure of civilization, globally or locally.
It may be enough to say, though this shades all following calculations of any kind in a significant and problematic way, that they are indispensable and dynamic values. They exceed all calculable value of our own activities, which without their contribution would simply not make sense or could not take place at all.
Metaphorically, their incalculable immensity could be compared to the way the tides at the edge of a great sea shape and define the shoreline and the kind of activities that can be conducted at that point of contact. It is necessary to think of how such information could then be integrated into a more complete and less untruthful (it's worth noting) matrix of economic calculations.
What parameters determine downward and upward trends, and what do such trends mean for our 'traditional' economic footing, financial activities, international treaty obligations on issues like trade, water, farm subsidies, and transportation? These questions only begin to gain relevance when we see that the 'macro' view is in fact far broader than the segmented vignette-style of economics we are accustomed to pursuing, for the level of mathematical and sociological comfort it affords.
So, everything is very big, all numbers are astronomical, nature is everything and more, we cannot make it all fit into a nice little frame... yes, yes, yes, this is true and it's a problem. But what can we do to apply this observation to our economic outlook in general or to programming the calculations for this quixotic pursuit of an intregrated economics?
. . . 1. CORRECT THE ERRORS
We first need to correct the errors that are already built into our economic calculations, and which are part of the traditional economic outlook: for example, nuclear energy. Why do we not count the costs of long-term maintenance, security, protecting national technological secrets, pollution clean-up and, above all, the long-term hermetically-sealed containment of nuclear waste?
Primarily, because that last figure requires examining the huge costs of sealing radioactive materials in a hermitically-sealed, non-conductive container, for between 1 million and 10 million years, which may take us only to the half-life of the radioactivity of the spent fuel.
Depleted uranium, for example, which is used as a heavy metal for armor and bomb-casings in US military machinery, has a radioactive half-life of 4.5 billion years. 1 to 10 million years to abide by public health and safety laws and prevent widespread radioactive contamination of the natural environment or of human habitat.
We can calculate these costs, but they remain unimaginably vast. Imagine telling a businessman —it is irrelevant whether he is serious or not, talented or not— we would like you to build a nuclear plant for electricity generation, move toward taking a profit after a few decades, maybe make a few billion dollars over another few decades, then pay for decomissioning the plant, clean-up of all dangerous substances or contaminated panels or constructions, then pay all the expenses for containment and security, for 1 to 10 million years, during which you will not be able to take any profit from your activities.
The offer would not be convincing. So, in our calculation of the usefulness of such technologies, we need to take very seriously the reality that those costs will be paid or those operations will not be successfully carried out. Though we may see the economic value now, and tell ourselves as a society, it's worth it to get the gain we get from "cheap" energy now, we need to see clearly what those costs look like, and what they will take away from us in the future.
The calculations need to be wholecloth and transparent. The healthy functioning of any market depends on there not being unreliable pockets of secrecy and deceit where the eye is fooled and the 'magic' of economic value just a trick.
. . . 2. INTEGRATE AND COMPREHEND
The founding principle, the goal and the challenge of this undertaking is to integrate and comprehend in an integrated manner the economic, ecological, financial and spending data that account for real long-term viability and prosperity at the human level. It begins in the theoretical realm, and through analysis and discussion, could reach the moment of practical application, likely with much new information technology put into the process. The model will be the physical metaphor of the Inca quipu, a tool for measuring taxation in an empire that combined urban centers, agriculture and nomadic hunter-gatherer bands.
The quipu was a system of strings, knots, colors and patterns, created in each case by the individual agent whose job was to oversee the history of taxation and tributes offered to the Inca by his subjects in a given region. It provides an evaluation of geography, social composition, currency and chronicle.
The quipu was used to evaluate the state of affairs through a dynamic system of spontaneous coding, a system open to the introduction of new elements, categories and coding patterns, at nearly any time. The quipu's creator might have been the only living soul able to fully decode its meaning, which was, in itself, a way of establishing enhanced economic value in the work of formatting and maintaining the document itself.
The problem will be, evidently, how do we program into a matrix for moment-by-moment calculation of an international economic outlook, values we cannot quantify? and, how do we allow for a dynamic, bottom-up intregration of new code, new parameters, and new paradigms into what should be, in theory, a consistent model for evaluating global economic trends, beyond the bounds of the traditionally 'economic'?
. . . 3. MOMENT VS. METHOD
These are questions that need answers, and will form the basis of Project Quipu. Allow for discussion, criticism, analysis and the contest of ideas, to guide us toward a series of solutions that help make such a matrix possible.
Project Quipu proposes as a rule not shying away from seemingly impossible calculations, because they likely contain vital economic data which may come to us in forms not quantifiable but in fact relevant and comprehensible, when seen through the adequate lens.
One key feature will be timing: as with any economic reality, the moment brings context that cannot be discarded, and two moments which may appear numerically similar may in fact have amply divergent significance. It is therefore vital to understand that any data with real impact will emerge either more slowly or more rapidly than our ability to perceive it, just out of reach of our attempts to 'capture the moment'.
We cannot take a 'snapshot' and live the captured moment at the same time, so we must manage that lapse in time appropriately and understand that it carves out a hollow in the information available to us. This nature of the moment helps to shape the method, so to top off the aggravating complexity of this challenge: we cannot assume at any time that we have rendered the definitive picture of a global economy. It escapes our grip like water...
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