Without thinking we use natural growth for many common tasks already, simply by starting things to finishing them with a minimum of waste. In each case you “save the world” from needless excess consumptive growth in getting things started, wasting your efforts and the earth’s other natural and human resources.
Every kind of life, and kind of effort too, begins with building up a system of demands for available resources, to further expand on what built up before.
That expansion by building on what was built is the universal start-up process of nature, also sometimes called “extractive growth.” You see it very clearly in every kind of start-up, of a new friendship, a business, a career, a seedling or a life from a fertilized egg. The all start with steps that build up from what was built before. The build up that making breakfast starts with, for example, begins with the idea of food that makes you hungry, that then gets you to reach into the cupboard, and refrigerator for supplies, and the drawer or shelf for utensils, building a customized system and supplies for making your meal.
That process could go wrong, the way mankind’s way of using technology to multiply our making of things on earth exploded, and we now don’t seem to know how to stop. In making breakfast it might similarly go wrong if you got carried away taking out provisions. You might start with a small idea of what you need from the fridge, and add to that bigger ideas as you explore what there is to take out, repeating it to exhaustion perhaps, till the fridge and cupboards, pantry, and cellar, are emptied and all the family’s provisions in reach are mounded on the kitchen and dining-area floor, as you get hungrier and hungrier and your eyes expand way beyond the limit of your stomach, putting nearly all the family’s provisions to waste. The particular outcome is rare, but it is very true that once you get going with growing a process of growing, the process itself can become addictive. Today we clearly see in how we are wasting the earth in somewhat the same way, and love to be moved to tears and laughter by watching Disney’s Fantasia when Mickey Mouse learns turn his chores over to his broom with a magic spell, which gets tragically carried away carrying water.
starting things to finish them with a minimum of waste
Of course, we don’t usually behave that way at all, but at some point near the beginning of taking out provisions to use, switch to thinking about how to get to end of having a satisfying meal. We almost never have the exact end in mind either, but perhaps initially take out eggs and cheese to perhaps put them back and take out bread for toast and milk for cereal if you’re in a hurry. As you put things together you also do various smaller and smaller things you discover to do, to perfect the end result while also arranging the timing to get all the parts to come together at once, with excess provisions put away, all part of getting ready to sit down, perhaps with together with others in the family.
In doing that, rather than letting the initial provisioning of breakfast get carried away, we have “USED NATURAL GROWTH TO SAVE THE WORLD,” most often without really realizing what an enormous contribution to the community and your family was done by simply not maximizing the waste of all available provisions in the process of making breakfast. Of course, it’s also important to do and to watch for in other circumstances, a natural duty for living in a commons.
It seems like a little thing but is actually a very big thing, that we casually do for ourselves and others many times every day
that we casually do for ourselves and others many times every day
People are plenty smart enough to see that this “RULE OF NATURAL GROWTH” (also called “nature’s integral“), to finish up what you’ve started up doing before you make a mess for yourself and others, should also apply to civilization as a whole, and at every scale in-between. People do see that ALL development creates disaster risks, for example, and that boundless development would always creates an all-consuming disaster. Our minds still “get in the way” somehow, transfixed by fantasies it seems, and we just trundle along on the clear path to that all consuming disaster not knowing what else to do.
How this would save the world is really something quite plausible. We already see in progress a great “change of heart” by businesses and investors around the world to join in on averting the clearly disastrous future now directly ahead of us. If that initiates a wave of common sense, with business and investors choosing to follow the wave of the “impact investing” community, averting the looming crises in the most direct way possible, and with much less government involvement. Following that wave of necessity to avert disaster would also turn our world onto the natural growth path for perfecting how we use the earth. You could ask yourself and others to join the wave! The choices of higher purposes include the Green Climate Fund, supporting various SDG goals. The real, macro-economic effect is to distribute wealth in the service of higher purposes while directing profits away from concentrating wealth and raising the economy’s ever growing demands on nature and humanity.
Various other journal entries here discuss more about “what to do”, there’s a whole category with dozens of good little articles and discussions of it. Still, the best way to learn about it is for yourself, from watching how all of life revolves around the variations in nature’s integral, seeing for yourself how ‘start-up’ processes yield to ‘end-up’ processes in taking things to the natural climax of releasing them for their useful life.
“Finance Serving Life” introduces an updated version of the transformation journey for global capitalism envisioned by J.M. Keynes. He first described it with a biblical fable he called “The widows cruse” (or “Widow’s cup”) based on the 1 Kings 17 story of Elijah asking for food from a poor widow with scarcely any, just a last bowl of flour and flask of oil. To relieve the poor widow of doubt Elijah tells her that if she shares her scarce provisions it will provide generously for both of them, becoming inexhaustible as long as she is in need.
Keynes’ use of the fable was meant illustrate to the wealthy that if growth ever became unprofitable, they could sustain a healthy economy by spending rather than compounding their profits, and have their profits forever be return to them. It illustrates a true natural economic principle of sustainability, that at natural limits to growth spending the profits from investments will become necessary to keep them profitable. That principle is also observed in living systems that repurpose their surpluses at their limits to growth, from being used for multiplying their parts to perfecting their uses and designs in order to thrive at maturity.
Today we can observe that using profits to continue to multiply the parts and demands of the economy on the earth and humanity have become excessive, in total effect impoverishing rather than enriching the both the human and natural world. In principle, though also depending on how it is done, relieving nature and humanity of escalating demands for increased productivity by wisely spending, rather than reinvesting profits would assure that the same level of profits would become everlasting.
Philanthropy and sustainability are among many such good purposes that those with a “good eye for value” might choose at a time such as the present when compounding profits to multiply the parts and scale of the world economy has become increasingly unsustainable. In macro-economic terms, spending the profits of the economy as it approaches the natural limits of healthy development relieves the natural world from endlessly increasing extractive depletion and disruption, while repurposing the use of profits for perfecting the economy’s systems and their relationships with the natural world, potentially bringing endless vitality to the whole.
One of the fine points observers often miss is that a non-growing world economy, using its profits for perfecting its designs for thriving and caring for the planet, would not become a stagnant “cash-cow.” Like a natural ecosystem it could be a thriving and stable system for continual self-reinvention, maintaining as much creative change, i.e. “creative destruction,” as is comfortable. Maintaining that balance of healthy creativity, avoiding both rapacious growth and stagnation, is then the steering job of the transformed economic system.
People are such wonderful designers of systems they put their minds to, and life offers so very many wonderful examples of successful transitions of this kind, from compound extractive growth to long lived creative stability, it is hoped that now that we are faced with the challenge, we could put our minds to it and figure it out.
The current slide set for presenting the concept more fully as a talk or webinar has the same name “Finance serving Life.”
— A presently elevated growth rate of CO2 in the atmosphere directly linked to globalization.
— And resulting likely 1.5 degree C warming by 2030, TEN years earlier than the recent IPCC estimate.
— Plus a fascinating story of diagnostic data science discovery.
Yes, it is a somewhat radical approach, but is fully data driven, meticulous, and at the high side of the IPCC uncertainties, making it plausible. So it should challenge others to try to confirm or dispute the findings. Losing 10 years in preparing for 1.5 degrees C also makes this finding, if true, extremely urgent to respond to.
(A Major Edit of a 10/8/18 version, republished 4/8/19 – Jessie Henshaw)
The Path of Atmospheric CO2 – To understand climate change it helps to start with the whole picture, the great sweep of increasing concentration of CO2 in the atmosphere shown in Figure 1, as the main cause of the greenhouse effect. Looking at where it began, you can clearly see the fairly abrupt shift in the trends at about 1780, also about the same time as rapid industrial growth was beginning, seeming to mark the abrupt emergence of fossil fuel industry that the rest of the curve clearly represents.
Look closely at the relatively lazy shapes of pre 1780 variation in CO2 back to 1500 (purple) and how that pattern differs from the abrupt start of the growing rates of increase (green line) after 1780 an how closely it follows the mathematical average growth rate curve (dotted). Note how the trendline threads through the fluctuations in the data starting from 1780. The way the data moves back and forth *centered on the constant growth curve* is what implies that the organization of the economy for using fossil fuels had an constant growth rate, of 1.48 %/yr. Hopefully that seems rather remarkable to you, but the data is clear, that the global economy has a single organization for behaving as a whole, as a natural system, with a stable state of self-organization in that period.
We know from the absorption of heat radiation by CO2, creating the greenhouse effect, that the CO2 greenhouse effect is heating the earth in relation to its concentration in the atmosphere. What implies that relation is close to linear, making the effect directly proportional to the cause, is shown in the Figure 2. The dashed brown line shows the slope of the relation, closely fitting the actual gradual curve, at least between 300 to 400 PPM, the thresholds that were crossed in 1914 and 2016 respectively, a period of 102 years. Atmospheric CO2 is increasing much faster now, though, so the next increase of 100 PPM, to 500 PPM, will be reached much more quickly rising at its current stable rate of 1.9 %/yr rate. If that rate continues 500 PPM will be reached in only 30 more years, by 2046. That large acceleration is the effect of the current higher exponential rate of increase. Of course, considering the rapid compound acceleration of the cause of climate change, and the alarm people are taking now, quite a lot could happen before 2046.
The Annual PPM Growth Rates – Figure 3 shows the growth of Atmospheric CO2 (green) with the details of its fluctuating annual growth rates, to depict both the constants of the growth curve and it’s irregular growth rate interruptions. The individual interruptions raise lots of interesting questions, but perhaps the most important feature is that they are quiet temporary, as evidence of the constant behavior recovering again and again.
The upper curve shows fluctuating annual growth rates (lt. axis, PPM dy/Y) for the curve below, the CO2 PPM concentrations. The peaks and drops of the growth rate align with the small waves in the concentration (rt. axis). Note that the large drops in the growth rate that seem to snap right back to the the horizontal dashed red lines. That seems to show that they mark processes that absorb and then release CO2 again, as they do not seem to affect the average growth rates of PPM concentrations as a whole, around which the annual fluctuations homeostatically fluctuate.
This diagnostic approach is for raising questions like the above, using the annual growth rate to expose the dynamics of the curve for a somewhat anatomical picture. In this case it’s of the homing dynamics of the global growth system as it first hovers around the rate 1.48 %/yr from 1780 up to WWII, and then shifts to hovering around the higher rate of 1.9 %/yr as it stabilizes from 1971 to 2018. You might think of these two long periods of homeostatic growth rates in CO2 concentration as representing periods of regularity in the causal systems, global economic growth and the carbon cycle response, seen through the lens of atmospheric CO2.
You might think the large departures from the regular trends would be great recessions perhaps, that then “make up for lost time” on recovery. I could not find corresponding recessions, though, and for the great recessions I checked there do not seem to be notable dips in CO2 accumulation. To validate this kind of research one has to go through that kind of thought process for every bump on the curve, either a tedious or exciting hunt for plausible causes than then check out with other data.
What seems most unusual about the big dips in the CO2 growth rate (D1, 2, 3, 4, 5) is that 1) they do not occur after WWII and 2) they rise and fall so sharply and have no lasting effect, seemingly temperature sensitive as well as absorbing CO2 later released. I can’t say whether it is feasible or not, but something like vast ocean plankton blooms might have that effect, absorbing and then releasing large amounts of CO2. There’s also a chance the way the raw data was splined and the growth rates smoothed, to turn irregularly spaced measures into smooth curves, might also have unexpected effects. Whatever phenomenon causing the big dips was, it appears to have been interrupted by the rapid acceleration of warming that followed WWII, as evident in the smooth and uninterrupted rise in most recent and best raw data. Those are at least pieces of the puzzle that might help someone else narrow it down.
Comparing the CO2 cause and degree C effect – The main purpose of Figure 4 is to compare the history of earth temperatures (blue, ‘C, lt scale) with the curve of atmospheric CO2 (green, PPM, rt scale). The CO2 PPM data is the same Scripps atmospheric CO2 data and scale we’ve seen below. The temperature data is from the HadCRUT4 records used by the IPCC. In this case the original anomaly data relative to the 1850-1900 average have been converted to absolute ‘C values, using a conditional set point of 14.6 ‘C in 2017. In a way it is as arbitrary a coordinating value as the others people use. It’s chosen here first for being a more familiar scale, but also so that 1780 initial values for PPM and ‘C can be determined as initial values for the greenhouse effect. Those baselines are essential for defining the exponential growth rates of the PPM and ‘C curves. The 14.6 ‘C value was based on an expert’s estimate.
Aligning the curves for Figure 4 lets us look closely to see if any shapes of the cause of the greenhouse effect (PPM) are clearly visible in the shape of the effect, global warming (‘C). Does anything in particular jump out? First might be the differences, one curve quite smooth the other jittery, both having wavy fluctuation patterns too, but of very different scales and periods. The first thing you might ask about is how regularly irregular the ‘C curve is seems to be. That variation is thought to be mostly due to annually shifting ocean currents, along with weather system changes and the difficulty of measuring the temperature of a complex varying world.
The ‘C curve (Figure 4) also shows the two ‘Great waves’ (#1 and #2) in earth temperature that appear to be independent of the greenhouse effect. The dotted red line was visually interpolated as the midline of the irregular but seemingly quite constant fluctuating annual temperatures of the HadCRUT4 data. The blue dotted line was added to suggest earlier large waves in earth temperature copied from the shapes in the ancient temperature reconstructions seen in Figure 5. I physically overlaid those reconstructions of ancient temperatures on Figure 4, drawing a continuation of the Figure 4 midline curve that fit the Figure 5 curves.
One might say the minima of the great waves in the ‘C curve display a trend somewhat like the general trend of the PPM curve, say from 1780 to 1980. The one shape that makes the two curves seem really connected, though, is the way the sharply rising PPM curve (the implied cause) and ‘C curve (the implied response) both start following a “hockey stick shape” in the 1980s. It even seems the shape of the ‘C curve interrupts the great waves as it takes off exponentially, breaking a rhythm that seems to go back many centuries. There is a possibility that the great waves represent upper atmosphere standing convection patterns waxing and waning, something that increasing convection intensity could interrupt. Perhaps that would help others find what the great wave cycle, or not. Since theory suggests the trends of both cause and effect have a linear component Figure 6 shows a linear scaling of the PPM curve to see if it and the ‘C curve can fit.
Scaling CO2 PPM to Make a ‘C Proxy – The reason to scale PPM to emulate the dynamics of ‘C curve is simple. The ‘C fluctuation is so erratic the variety of curves to predict its future is rather extreme, so people have been generally using a straight line. An exponential curve is not a straight line, though. So the quite regular shapes of the PPM curve, including its clearly measurable growth constants, 1.48 % before and 1.9% currently, do make it a prime candidate as a useful proxy. Even if the trend has a clear direction now we of course have to allow for increasing uncertainty over time. Adding to that are the plans for dramatically cutting CO2 despite a world economy dramatically increasing its production, a tug of war that could be interrupted by actual war or other economic downturn.
Where the current stable growth rate of climate change seems headed, knowing the PPM curve should be linearly proportional to the greenhouse effect, we experimentally scale CO2 PPM see if it fits the ‘C curve in a logical way (Figure 6).
Scaling the PPM curve to fit the ‘C curve makes a PPM’C proxycurve, hoping to fit the midline of the highly irregular ‘C curve from 1980 to the present. Both the units and the baseline are not determined, though, to produce the proxy curve in PPM’C = A*PPM + B, using a linear scale factor A and a baseline B. A third determinant is then finding a optimal fit between the very different earlier shapes of the curves. So basically I tried lots of things, and found my initial assumptions were mostly wrong. Initially I made the mistake of trying to fit the PPM’C curve to the midline of the earlier ‘Great waves’, and tried several ways until it was clear they were all wrong.
Then I realized those earlier great waves were really not related to the greenhouse effect. So my greenhouse effect projection might better be interpreted as coming up under the earlier systems, like it actually looks. That was purely a graphic device at first. Then when I adjusted the PPM’C curve to pass under the ‘Great Waves’ I set it to go through the miline of local fluctuations instead of the Great Wave departures. Suddenly the fit of rapid growth period became as perfect as I could ask for. I spent some time trying to figure out why, studying all the loose ends, in the end resolving that’s what the data seemed to say. That PPM’C curve then becomes the hypothesized most likely “real” rate of greenhouse effect climate change, and offering a much more narrowly regulated way for projecting its future.
Figure 5 shows both the best fit scaling of the PPM’C proxy curve (dark green dashed line), and its extension to 2050 at its presently stable growth rate of 1.90 %/yr (dashed light green line). Yes there are various uncertainties, but the threat of climate change so far has seemed to be from underestimating, not overestimating, and the findings do appear to be well within the IPCC uncertainties given the difficulty of projecting the temperature data directly.
I think it means that reaching 1.5 ‘C by 2030 is a much more probable estimate of the current trend than reaching 1.5 ‘C by 2040.
The Economy as a Whole – How great a new threat this acceleration in atmospheric CO2 pollution and its greenhouse effect are seems to rest on just how stubborn the global homeostatic regulating systems observed are. That could really change the climate mitigation picture, and help explain why there has been only negative progress in slowing CO2 pollution. So far is seems to have been neglected, with negotiation over mitigating climate change not seeming to take into account the organizational inertia and persistence of the global economic system as a whole.
Figure 7 shows a group of major indicators of the global economy that were selected for having constant growth rates from 1971 (the earliest data for some) to 2016. The GDP PPP curve in trillions of 2016 dollars is growing the fastest, and each of the other curves was indexed to GDP in 1971 in proportion to their relative growth rates. For example, since total economic energy use is growing at about 2/3 the rate of world GDP that variable was scaled to 2/3 of GDP at 1971. This device displays the steady relation between them called “coupling.” That the same proportionality of the growth curves is constant throughout it indicates each of these curves reflects the behavior of the same system. What seems to cement the view that the global economic system appears to be behaving as a whole is the visual evidence that the data of each of these series, like the CO2 PPM data we discussed at length before, seems to fluctuate homeostatically about the growth constant.
What physically coordinates the economy’s coordinated relationships between different sectors displayed here as growth constants seems likely to be cultural constants of each cultural institution, or “silo” of the world economic culture. Every community seems to develop its own expected way for things to work and change and seems to become the way the different sectors end up coordinating their ways of working with each other. That all of this is organized primarily around the use of the exceptionally versatile resource of fossil fuels then indicates that a deeper reorganization of the economy than a swapping of one set of technology for another will be involved. It should suggest to any reader just how very much of the world economy would need to be reorganized, and to be reminded that the last times the world economy was sufficiently disrupted to be reorganized were during WWII an the 1930s.
This topic is also the subject of a longer research paper. Science review drafts are likely to be available later in April 2019.
Work in progress… Below this line is old text that may be edited in pending updates.
It’s a powerful technique for understanding complex systems, such as the world economy, that behave smoothly as a whole. The most important observation is just that. The system as a whole and these whole system indicators are not separate variables, and the smoothness of the curves shows the system as a whole behaving smoothly as a whole over time.
From our local views of the world that often does not seem to be at issue, though it really is the main force behind all the changes everyone is struggling to adapt to. Individual businesses, cities and countries generally have a quite irregular experience, as their roles in the whole continually change. What the smoothness of the curves and the change in the system as a whole really means is that the world economy is working the just the way it is (financially) supposed to. It is being globally competitive the way money managers manage it, and continually reallocating resources and business to where they will be best utilized, resulting in most every part having somewhat irregular experience to make the whole behave smoothly. The uniformity of these global indicators also says is that their origins all point back to ~1780, when modern economic growth began. We have reasonable measures US economic growth from ~1790, …and so went the world!
Smooth exponential curves and the systems generating them are, of course, among the things of nature with inherent “shelf lives”, relying on systems of developing organization of multiplying scale and complexity, certain to cross thresholds of transformative change. In nature, growth systems generally develop to one of two kinds of transformation, stabilization or destabilization, the crashing of a wave that doesn’t last for example or the thriving business that can last for generations. What characterizes the difference for the emerging systems that last is that, while becoming strong with compound growth (like the systems that don’t last also do), they become responsive and refine their systems to stay strong. In economic terms that’s remaining profit seeking they “internalize their externalities” to mature toward a peak of vitality rather then failure. It’s a choice made in mid-stream.
Understanding what will make that difference in outcome for our global growth system will partly come from people getting a better understanding of how we got here, as shown in the Figures 1, 2, 3 & 4. The growth of technological civilization relies on ambition, creativity and resources, and methods that we could potentially change. How economic growth is largely managed by the application of business profits to multiplying business developments, what makes GDP to grow. If our decisions were to internalize our externalities that is also one of the things that might change, without really changing human ambitions, creativity or resources.
I’ve been observing the UN SDGs as a natural systems scientist since 2013 when I saw with some surprise that the one topic both Country delegates and Civil Society groups could agree on was the wording of the ideals for global development. Even when the Co-Chairs, Ambassadors Korosi, and Kamu, began persistently asking for the discussion to turn to means and methods it never did. Ideals are wonderful, but the strains the SDGs are responding to are still growing, as the global disruption of human cultures by the growing intrusions of the economies of the world powers continues. That’s a problem not yet to be studied and discussed. Why? Partly to be “diplomatic” and partly not having a model for human cultures as living social organisms that carry all our shared ways of knowing living. Still we need a way to discuss the rapidly growing strains on human and ecological cultures caused by accelerating economic growth, a global cultural sickness.
As growth presses the limits of the earth and challenges the world to ever faster rates of change, the damage to nature and human society is more and more lasting. That’s a conclusion you can reach from many directions I think. The communities the SDGs aim to help seem mainly deeply rooted old cultures that are now “failing to thrive.” That is a living systems problem, not a numbers problem, as the SDGs were designed to solve. Failing to thrive is more like a “lack of meaning in life” dilemma, requiring a different approach. It’s also a symptom that one can use to map the problem worldwide and begin to look at its real dimensions.
Failure to thrive seems to hit both indigenous cultures worldwide and communities within economies where “creative destruction” is leaving lasting scars, like rural flight or outsourcing that hollows out a region. One example is the deeply alienated culture giving support to Donald Trump in the US, distressed by the world changing so much around them. There are also non-thriving local cultures in North, Central, and South Africa, as well as in the Middle East and North, Central, Southern and Eastern Asia, as well as in Oceana, Australia, North and South America. It’s not “the same old thing,” but a truly accelerating global plight, seeming to be of all the cultures that didn’t welcome or were disrupted by the intrusive growth of the world powers.
Human cultures are truly the crown jewels of humanity, though, where most of our gifts come from and are on display. They are the unique individual species of the human ecology. If you think about it, there is no other place on earth for the safekeeping of all our ancient accumulated ways of knowing and living. Each culture either crafts its separate way of knowing and living or branches off from another. They are our most important gift, evidently now absorbing a great deal of abuse.
With each culture being its own “knowledge system” it keeps people from making sense of any other culture, or even our own. If you trace the evidence, it does check out. We get the large part of our ways of understanding things during early childhood, by what you might call ‘osmosis’. Some say it’s “too close for us to see,” or that our mental way of seeing is functionally like a camera and its lens, that are never visible in the pictures they take. Cultures also have a deceptive “cellular design.” Their ways of knowing and living are internally shared, and not experienced from the outside. Even with extended immersion, an outsider does not develop a native feeling for another culture’s roots.
The great challenge we face today is that growth is an ever faster process of expansion and change, *doubling* its demands on the earth and humanity every 20-30 years. That radical rate of increasing demands is what eventually overwhelms the adaptability and resilience of people and the earth. Living things are being pushed to keep mechanically doubling numerical returns for culture-blind investors, as if the earth was unoccupied.
That’s how the English occupied North America, a hundred years after the first settlements rapid expansion began with importing slave labor then a wave of settlers swept across the rest of the continent, as if it were unoccupied. Elsewhere the economic powers built systems for globally harvesting resources, placing overseers where needed to manage their access, as if there was no one else there. Today it continues with how global capitalism still relates to the world, measuring its success in rates of accelerating expansion alone, as if no one is here. What’s most surprising perhaps, is how very effective our cultural blinders are in hiding our blindness to our own and other cultures from us. That is, hidden until you have an indicator like the glaring disruptiveness of ever more sudden change.
So what would relieve our fast growing societal distress? There’s a new business model expressly for responding to it, to use biomimicry for how nature builds thriving ecologies. If interested there’s a longer discussion article on how healthy cultures are the foundations of healthy economies and the business model for nourishing our cultures, that I refer to as “True Public-Private Partnerships” (tPPPs) discussed more in the essay Culture, Financing for Development and tPPPs.
The new business model begins like any business, organism, or culture does, with a period of innovating and vigorous growth, making profits to expand its systems. When the environment responds with increasing resistance or stiffening competition, the new strategy is to choose when and how to switch from maximizing profits for growth to maximizing long-term profitability to pay it forward. That’s done by refining systems to operate in smooth harmony with each other and their world. It’s a more gradual process but would produce more integrated development and be more profitable in the end, to combine human ingenuity and natural design.
Do comment if this gives you questions or ideas!
[*] Jessie Henshaw consults as HDS natural systems design science, email@example.com, offering insight into nature’s processes of negotiating change. She uses natural systems thinking strategies (NST) with “action research” (AR) and architectural “pattern language” (PL) methods of collaborative developmental design. The start is from recognizing that organizational processes in nature follow a familiar arc, beginning with bursts of innovation, and then refinement, leading to a final release (IRR). That is not unlike how we all do home or office projects, in stages of immature then maturing growth then release, also seen in reproduction. The system produced is first “framed out” with innovations then “filled in” with refinements and “delivered” as the release when ready. Her current related research article is on how our Systems Thinking co-evolvolves with our Systems Making.
– The wide implications relations based on fiduciary trust – JLH
Professionals making decisions for others have a duty to act in the client’s best interests, to the best of the fiduciary’s ability, as the basis of trusting the fiduciary’s services.
The law doesn’t limit “best interests” of others to short term financial gain, leaving open all other interests everyone has a right to, such as not being misled, living sustainably, respecting due process and receiving justice.
What has changed in the modern world is that we face more threats and know more about them, so now we can hold our professionals responsible, demanding our universal human interests be respected as their fiduciary duty.
Putting this on the human rights agenda would only take talking and writing about it.
– Current Law: The Fiduciary Duty for investors[i]
“Whenever you are dealing with someone to whom you will entrust your money, such as a registered investment adviser or a bank trust department, it is nice to know that, in the United States, they owe you what is known as a fiduciary duty. This is not to be taken lightly because, under the American legal system, a fiduciary duty is the highest duty owed to another person. It requires the fiduciary (the person with the obligation) to put the interest of the principal (the person to whom they owe the fiduciary duty) above their own.”
“This requirement to act in their best interest includes disclosing any conflicts of interest that may arise so they can be known ahead of time, leveling the playing field. Breaching the fiduciary duty can result in draconian punishments, including being barred from employment in certain fields, being banned from working with certain types of securities, being forced to pay significant civil and criminal penalties, the loss of employment, and, in some cases, felony conviction with accompanying jail time. To put it bluntly, the fiduciary duty has teeth.” [see source for rest of article]
“A “fiduciary duty” is required of a person who manages money, investments, or other property on behalf of another person. When the situation involves a board of directors managing a corporation, the fiduciary duty the board has to the corporation’s shareholders and investors is known as a “business duty.” A person who has a fiduciary or business duty is known as a “fiduciary.”
“A fiduciary duty requires more than the ordinary reasonable care that appears in most personal injury and tort cases. Fiduciary duties are generally split into two categories: the duty of loyalty and the duty of care. In some cases, board members may also have a duty to disclose information. They also have a duty to avoid conflicts of interest.”
“The duty of loyalty requires the person who has it to handle money with the best interests of its owner in mind. The fiduciary must put the owner’s interests before his or her own and may not profit from managing the owner’s assets without the owner’s consent.”
“In a business situation, the duty of loyalty requires the board of directors to run the corporation in the best interests of the shareholders. Directors have a duty not to let their personal interests conflict with those of the corporation.” [see source for rest of article]
Note: there is no limit to what “best interests” a fiduciary needs to serve,
1. There’s only a limit on their ability to serve them, and
2. All “best interests” would require not being misleading
A change in natural science is emerging along with “computing”
turning away from using theory & equations as a guide,
toward using data pattern recognition for
naturally occurring systems revealed in the data to be a guide.
Note: About 20 Years ago algorithms were developed for selectively extracting differentiable continuities from raw data, making a major step beyond “splines” for true mining of natural continuities from noisy data without regression. The result was quite successful forensic pattern recognition of discovered natural systems, their forms and behaviors. Combined with a general systems “pattern language” based only on the constraint of energy conservation, that pattern mining has provided a very productive alternative to AI for investigating naturally occurring forms and designs. The one unusual leap for applying scientific methods was to use it to capture the great richness of natural textures available from studying uniquely individual cases and forms found in nature. That is what overcomes the worst faults of studying individual cases, and so instead greatly enriches theory with directly observed phenomenology. The rudimentary tools successfully developed have been proven useful again and again with subjects such as illustrated below. 10/21/16
A long central principle of modern science, relying on defining nature with the information we can find, is considered here by way of eight examples of how important it is for science to also rely on doing the opposite, looking for patterns in the information we are missing somehow. Doing much the reverse lets us use the information we have to ask better questions about what nature is hiding from us.
It’s such an odd and obvious mistake to stubbornly treat nature as our data, as Neils Bohr and Popper insisted on and the QM community has maintained. Being limited to analysis and data creates a large blind spot for science, made unable by that limitation to learn from observation, and to see clearly how very different the “data world” (what fits in a computer) is from the “material world” (what doesn’t). The puzzles of found in natural patterns, turning up in ‘bigdata and various pattern sciences seems to be putting all of these matters into question again.
So I may take some unfair advantage, perhaps, by making a little fun of that prior arbitrary constraint on scientific inquiry, insisting that nothing we have no data for can exist. That of course is almost everything when it comes down to. It’s no joke, though, that our data is decidedly inferior for defining nature. Here and elsewhere I tend to allow that nature defines itself, as I certainly don’t do it.
The “Impacts Uncounted” article mentioned describes a simply enormous worldwide neglect in economic accounting, a huge mismeasure of lasting business environmental impacts. It’s caused by the traditional insistence on trusting the data at hand and refusal to look for what data is going uncounted, as if the fact that we can only study the data we have means nature is not being misrepresented by it, a curiously deep concern for understanding the scientific method. In reality there is more to life than the data we have. Treating “science” as whatever our data defines, then, actually means “flying blind” regarding all the kinds and scales of phenomena going unmeasured, the difference between nature and data going unseen. For accurate accounting, even older scientific principles need to apply, such as defining units of measure in relation to the whole system or “universe” for that measure, not just the part easy to measure, and so “Impacts Uncounted” is the effect of counting the global impacts of business using local measures, as is today standard around the world, a big mistake.
So these 8 examples are “data visualizations” that neatly expose where important data is very much missing, as a guide to where to go and look. Those hiding places exposed as gaps in the data turn our attention to phenomena of perhaps another kind or another scale, or on another plane with material influence perhaps. That is then what needs to be discovered and looked into. to really understand what the measures display and the systems or events they refer to. That the data available, then, always points to phenomena beyond the scope of the data to define is both the oldest and perhaps now the newest of deep scientific principles for interpreting what we see.
Is science coming full circle…? The answer seems to be YES!
Persistent patterns in data generally reflect complex natural forms of design, complex and complicated well beyond what data can define. So we present data in a way to helps show someone what’s missing.
Data from a natural source is generally biased and incomplete as a result of how it’s collected, and a “proxy” for various things other than what it is said to measure. So not really knowing what it measures, it is best studied as being another way of sampling an undefined universe, to become meaningful by discovering its boundaries
Patrick Ball’s HRDAG methods demonstrate comparing sources for death records in conflict environments, using the differences and overlaps to reveal the true totals. My own research shows environmental impacts of business are undefined, lacking a common denominator to make them comparable as shares of the same universe. Correcting the mismeasure appears to increase the impact scale of business by several orders of magnitude. In both cases characterizing the universe the original data is implicitly sampled from serves as common denominator for making the original data meaningful.
For discussing basic explanatory principles of physics used for forensic systems research
1. See where hidden connecting events shifted the flows??
Short version Voted a Top Comment on the Forbes article
“The Stock Market And Bernie Sanders Agree — Break Up The Banks” , a more full story follows.
The reality of the matter is as embarrassing as it could be. If you trace it all back to origins… it’s our very own greed causing the whole mess, our demanding that Wall Street produce ever faster growing **unearned income** for our investments.
That’s what is now backfiring on us as the serious scientists all always said it would. The earth is not an infinite honey pot… is the big problem our not so big hearts and minds have in grasping the consequences of our own choices. We simply failed to notice the consequences, or listen to those saying “beware of what you ask for”.
The truth is WE became “The Sorcerer’s Apprentice”* and now we are dealing with having turned the planet into our Fantasia. The truth is that if we “Break Up the Banks” the financial system we designed to grow unearned income will just keep multiplying the disruptions the scientists always pointed to it causing! Are there options?? Well find someone honest who studies it perhaps…
Sorcerer’s Apprentice http://goo.gl/Zu69yD
(If this YouTube copy is inaccessible sometimes you may need to find another copy or just recall the heroic tragedy of it all, from the last time you saw it.)
Day after the NY Primary 2016:
In New York State yesterday there seemed to be a lot of answers, but we can all see more questions too. Neither Trump nor Sanders are offering practical ways of doing it, but clearly raised a huge chorus of “throw the bums out”, without actually identifying “who the bums are” as part of the questions left hanging. To the surprise of many Trump’s win was so persuasive it seems to almost legitimize his candidacy. To the surprise of many as well, Sanders overall persuasively lost to Hillary Clinton, and only had persuasive wins in conservative upstate areas. In ultra-liberal New York City, his claim to ultra-liberal leadership found really very few neighborhoods persuaded. New York is the kind of place that needs no persuasion at all on the legitimacy of his issues, but found his manner and inability to say what he’d actually do, and relying on a constant stream what had to be called rather misogynist digs.. caused him to lose legitimacy.
So nearly all agree the bums need to be thrown out, but “who the bums are” remains unanswered, and largely undiscussed too, The Trump campaign colorfully claims the intention to disregard all the rules to “get the raccoons out of the basement”, and with no strategy but public outrage, sweep away the broken Republican party and Washington DC political establishments. Sanders imagines that some executive order breaking up the banks and popular demand for relieving very real and widespread despair will remove all the barriers to doing that.
I’ve studies these problems in great detail for many years, and have in fact been expecting to have to somehow claim to have predicted this kind of grand societal collision with itself from the first time I caught a glimpse of the real problem. My observations are only a little more detailed and focused on locating who has a choice, who actually is “at fault” in that sense, as the natural disaster at the end of capitalism has been has been long predicted for what I see as all the wrong reasons for centuries.
That real problem is that “Wall Street” is the name given to the practices of the financial traders who trade everyone’s investment funds, and so… “Wall Street” actually already works for us, and doing precisely what we ask it to do. There’s just something profoundly confused about what we ask it to do. We ask it to manage the use of our idle savings to produce profits to add to our savings, and so multiply in scale without end except for letting the trader take a share of the spoils, Of course the bargain is that multiplying your profit taking from your world with no exception eventually destroys your world, invisible only if you don’t look.
I don’t know quite why Goethe did not sharply identify that ultimately seductive bargain with the Devil when writing Faust. That play is apparently his morality tale about what happens when making that bargain. He was, though, enough more clear in depicting it in his balladic poem Der Zauberlehrling, that Walt Disney used as the basis of his ever popular animated film Fantasia, and very pointed fable “The Sorcerer’s Apprentice”.
Our hero, Mickey Mouse, steals a look at the sorcerer’s book of secrets and immaturely calls upon its magic to command his broom to carry the heavy water of his chores, so he can sleep all day. As he awakes he finds the magical broom can’t be stopped, as Micky doesn’t know what spell to cast for that, and is flooding the whole house and castle, and so MUST be stopped. Then like people feel today, Micky picks up his ax to do in the boom for good…, but finds in chopping up the one it only multiplies magical brooms and the rising flood turns into a great torrent.
The failure of Mickey’s strategy would, of course, be repeated if Sanders’ grand gesture calling for “breaking up the banks” were to actually be applied. The various banks that have now grown overwhelmingly big, magically carrying our water so we can accomplish ever more without work, will all just continue expand, as long as we ask them to use our savings as before. You would just get more banks accumulating more disparity in the wealth of the world. Whether the phrase “break up the banks” refers to dividing up the banks into smaller ones, or separating their savings and investing functions, it wouldn’t alter a bit the basic service they are being asked to provide us as investors. They’d still be using our idle money to multiply, in some magical way, so we can be showered with fruits without labor, and left with the puzzle of why that can’t keep working.
Investors may or may not feel “wet”, but if you look around the world, everyone else does look rather soaked! It’s a quandary that we’ll have to resolve, why the secrets of creating wealth were apparently not shared by our process of enjoying wealth. So what’s clear, at least, is we now have a new job. It’s not one that Wall Street asked for, perhaps, but that they can’t refuse as they work for us. It’s to break with the Faustian bargain we made with ourselves, and perhaps stumbling some also stumble without regrets so much as anticipation, get about the work of showing the world another side of what we can do with our genius.
Here we don’t find ourselves without a plan of action, is what’s different from the many calls to protest, though the plan may need repeated adjustment and improvement in various ways. It’s ironically not like Bernie’s plan to “not take Wall Street’s money” either. It’s indeed to “take Wall Street’s money” we belatedly realize, because Wall Street is in fact just managing our money for us, and we just need to as for the right thing. That’s the real way to break our bargain with the Devil, that we do seem to be at a great historical point of rejecting. We can take our knowledge of wealth with us too, but only if we learn the other tricks needed to leave the earth whole and to share.
We talk about making connections…
. . . . . . . . . . . . . . . . . . but what is it that actually “connects”?
Making Connections in life mysteriously needs to start and finish, and then perhaps establish a long sustained or a short relationship. Often we don’t see quite what’s happening till it’s either all over, or has really begun to noticeably develop and notice the rapid rates of change.
Sometimes we have an ‘inkling’ that something is changing at the very beginning, before anything really observable is apparent, as if becoming aware of the ‘germination’ of the whole event with an initially very slow building of a “new pattern”. It may be that intuiting “something changed” is experienced a bit like “feeling a change in the force” . We may imagine foresight for things that don’t develop, of course, and learn to just be watchful and not jump to conclusions, but wait till a real pattern of proportional scales of accumulation are evident. That’s ‘the pattern’ of systemic transformation.
What is perhaps the best indicator is always the “building process”, that as the illustration indicates is very much the same accelerating then decelerating accumulation of working parts. It’s *not* a numerical process, but if you notice the scales of change changing scale it can help you locate what is really working.
The illustration is of course also about the connections between the natural system processes of building, and the learning processes of building, and the holistic design processes of building, that I hope to get to see emerging as a “connection”! The PURPLSOC meeting “Elements” and PLoP meeting “Mining Living Quality” papers on “Guiding patterns of Naturally Occurring Design“, are full of these stories, maybe too much to enjoy all at once till you get a feel for this unusual way of approaching the study of “how things work”.
You might try a novel way of reading, other than beginning to end. One I often use with new books on unfamiliar topics is just “picking a few sentences at random” to see if they go anywhere for me, or trying the discussion topics at the end of sections or the whole work. Today I’m writing this post to take a break from the long task of doing the final edit of the main papers, seeing a need to have ‘something’ new on RNS, having noticed some scratch notes for the illustration made a couple weeks ago I thought would be fun to work on.
Creating a Commons takes thought leadership, and
Thought Leadership takes midcourse corrections
One thing “thought leaders” need to be aware of is that “leading” always requires mid-course corrections. Any start-up organization that sticks with growth as its plan and doesn’t switch to a goal for fulfillment has a default plan for destabilizing excesses in what it does, just for not having a goal that is attainable. The two strategies are both essential but involve different leadership, for a shift from building internal to external relationships!
The natural strategy for building organizations starts with establishing self-identity and expansion by using its resources for capturing more resources. That serves to grow its internal organization. If successful it needs to be followed by a change to defining its independence and fulfilling roles in the new environment it finds itself in. Having defined itself first, is then turns to setting out its own niche within and in harmony with communities of others, having made its identity first to then make its home.
Today the need is for leadership in a world that as a whole acts as if fully committed to destabilizing excess, clearly lacking even the language to talk about anything else. Changing that seems like the first step then, toward our eventually being able to conceive of and bring about our own fulfillment.
The Initial Image of the Commons
A vital hive of activity, a self-sufficient family or network structure, in which every part connects directly with every other, an internal world of complementary roles for an economy of cooperation,
a thriving whole and sum greater than the parts.
The More General Pattern of the Commons
Each silo of culture is the home for
a different way of living, a hive of commune-ication a self-identity pulsing with life,
none of which are nearly as alone in the universe and their internal images of completeness make it seem.
key organizational elements for the working relationships of complex systems
ideas of complex relationships that fit the reality
We care because of the new bridge it creates between human ideas and the working organization of complex working systems we make, use and need to respond to of all kinds, an emerging broad advance in understanding complex system organization design. The idea of pattern language, invented by Christopher Alexander for architectural design in the 70’s, actually started blossoming some time ago, it a most surprising place, in the creation of complex design concepts for computer programming known as “object oriented design”.
As it continues to expand and mature it is becoming a wonderfully versatile method for sharing and recording expert understandings of “how relationships work”, with application to almost any fields. It became the basis of modern computer programming, as “object oriented design“, with each object fulfilling a “pattern of relationships” that connects with others. For me… its a language I can begin to use to translate my research on natural system designs into, into “JPL” (aka Jessie’s Pattern Language), for subjects such as how natural systems transition from “type-r” to “type-K” behaviors (a subject underlying much of the discussion on RNS of complex system successions,life stages and cycles,”dual paradigm views”, “organizational stage models”, as observable patterns of organized change in relationships).
The reason it works for “object oriented” programming and “natural systems science” and in other areas too, appear to be the same. Pattern languages let people use their considerable natural understanding of complex relationships, like “home” “friends” “communication” “trust” “patience” etc. to open our eyes to similarly complex working relationships and meanings of complex systems elsewhere too, as “designs”. The standard “design pattern” of pattern languages connects human relationship concepts to working organizational relationships of behavioral systems of ANY kind. That seems to be why the design model that Alexander invented turns out to be so adaptable to our needs in our now overwhelmingly complex new world…! ;-) I can see it readily becoming applied to breaking down the silos of separation between knowledge disciplines, too, the so called “blind men and the elephant problem”, something just completely unimaginable in reality today.
Pattern Languages are for
1. identifying key organizational elements in systems of complex relationships, found in nature or in design practice,
2. communicating design elements for complexly organized systems or illuminating them in existing natural or manmade ones.
3. using the design pattern to refer back to the original natural forms and contexts from which it originated or is used to represent.
Two natural system design patterns, (for example):
Moving with the Flow
Sometimes you watch the people, sometimes their flows. The flows are roles in larger scale systems of group motion, forming as people avoid interference, but can confine them till they find an opening too. Markets flows form paths and break from them as new paths are found, often flocking in chase of a wave of anticipation, or uncertainty moving leaderless floods. Those are puzzling, since there may be no news the contagious change in direction, but systemic change generally usually has a real cause. Flocks of birds appear to do it just for fun though.
Alternating roles that Fit
Both natural and human designed complex organizations have independent parts that create emergent properties by fitting multiple roles. Day and night, male and female, work and relaxation, pencil and paper, cup and liquid, all the amazing polarities that produce reliable results because of how they fit their multiple roles, quite unlike any set of fixed rules could ever do. The trick is only physical parts and their relationships can do that, and a pattern language those relationships provide a way to develop concepts for understanding the working parts.
There are many types of Natural Pattern Languages, generally depending on the organizational medium (material and environment)
Social organization pattern languages
Natural system pattern languages
Architectural and Urban design pattern languages
Cultural pattern languages
Abstract Scientific pattern languages
Educational pattern languages
Computer knowledge design pattern languages
Commons & community design pattern languages
Economic pattern languages
Movie making pattern languages
Organizing pattern languages
There are three uses of the term “pattern language”,
1. As the collection of design elements and patterns used to design or describe working complex systems
2. As an the organizational language of an individual design project describing its working relationships as a whole
3. As a property of an individual complex system, consisting of the working relationships between its parts and its environment, that might be view from various perspectives to recognize different elements.
So they’re simple conceptual models designed as versatile tools for engaging our minds with the actual working organization and relationships of natural and designed complexly organized parts of our world. So they come in those two basic forms, as Design Patterns one uses to guide the implementation of some plan or as Natural Patterns used to help people understand how designs can fit in with natural organizations.