Psychosis: “Lead Us Not Into Temptation”


I have been thinking about the word “temptation” and exploring its definition.

Temptation’s root is the word “tempo”.  It is any repeating pattern that destroys our individuality and turns us into the mindless mob.  Whether it is “Zeig Heil” or “Yes We Can” or any religious repetition destroys the cycles of mental individuality and synchronizes us into a martial tempo.  It is collective psychosis, a mental virus, sensory cycling, the swastika.  In fact, martial, chanting and temptation are synonymous.  The Nazi Flag is the image of a revolutionary global white psychosis.

The challenge is not to think the same or to think different.  The challenge is to have the strength to think for yourself.  Your evolving personal melody not a static collective march.  That is the true formula for happiness and peace.  Anarchy and Libertarianism are good.  The leaders, drum beaters, of the herds fear it.


Netular Technology versus Psuedo-Netular Technology


I have been having a very interesting discussion on having expressed my opinion about current information technology and the netular  information technology I would like to see.

The people who have been exchanging their views with me cannot see the forest for the trees.  One is offended that I do not rave about all the social transitions the technologies are offering.  Another spews buzzwords like a chainsaw.  Another assumes my opinion is a product of my impatience for the convergence of the existing technologies.

Einstein once said he would spend a majority of his time defining a problem and a fraction of his time solving it.  A majority of the time on information technology is spent solving and a fraction actually taken to understand.  The consequence is most of the solutions out there are not designed, they are hastily assembled patchworks that because of the inertia of being first on the field are only replaced by further patches.

Our entire system of networks is built upon a foundation of linear and tabular architecture that is present in our CPUs, memory, storage, data structures, programming languages, organization, locations, events and goals.  In reality we are only dabbling in networks and doing an abysmal job of using them to their full effect.  We don’t understand them.

Marshall McLuhan said that when a new media is created the first thing we do is pump old media through it.  That is what we are doing now.  We are taking every form of old media we have and pushing it through the internet.  There is not a single case where we have successfully departed from linear and tabular old media.  I have looked at all the current technology, I have used it, I understand its internals and I stand by what I say.

We need a fundamental change in the way information technology works otherwise we are going to continue with an undesigned brute force attempt to solve our problems without ever understanding them.  The outcome will not be progress, but the perpetuation of flat earth thinking.

Linear and tabular thought are responsible for many of the problems we have in the world.  The biggest is the inability to fully appreciate the uniqueness of everything and everyone in this world.  The supreme example of this has been the long history of Religion, Genocide, Slavery, Nationalism, Imperialism, Racism, Eugenics, Fascism, Nazism, Communism, Marxism, Capitalism and Socialism.  All of them fail us because they depended on linear and tabular models of thought that denied the respect of the individuality of all experience.  True netular thought has the potential to challenge all of these misconceptions.  I think it is appropriate that this transition is on the horizon with the rise of globalism.  I doubt it will be a peaceful transition.

Actually, the insights into the underlying order in networks has made quite a bit of progress. One of the leaders in this area is Albert-Beszlos Barabasi who authored the book “Linked” . Another researcher Kwabena Boahen made a fascinating presentation at TED . There is also the work of Simon Williams that has come up with a new associative database architecture as well as a commercial product, Sentences.

It is time for everyone to fundamentally change the way they think.

Induction, Deduction and Eight States of Change

Elizabeth Kübler-Ross

For many years, people with terminal illnesses were an embarrassment for doctors. Someone who could not be cured was evidence of the doctors’ fallibility, and as a result the doctors regularly shunned the dying with the excuse that there was nothing more that could be done (and that there was plenty of other demand on the doctors’ time).

Elizabeth Kübler-Ross was a doctor in Switzerland who railed against this unkindness and spent a lot of time with dying people, both comforting and studying them. She wrote a book, called ‘On Death and Dying’ which included a cycle of emotional states that is often referred to (but not exclusively called) the Grief Cycle.

In the ensuing years, it was noticed that this emotional cycle was not exclusive just to the terminally ill, but also other people who were affected by bad news, such as losing their jobs or otherwise being negatively affected by change. The important factor is not that the change is good or bad, but that they perceive it as a significantly negative event.

The Grief Cycle

The Grief Cycle can be shown as in the chart below, indicating the roller-coaster ride of activity and passivity as the person wriggles and turns in their desperate efforts to avoid the change.

The initial state before the cycle is received is stable, at least in terms of the subsequent reaction on hearing the bad news. Compared with the ups and downs to come, even if there is some variation, this is indeed a stable state.

And then, into the calm of this relative paradise, a bombshell bursts…

The Induction/Deduction Change Cycle

I think that the grieving processs is considerably more universal than it first appears.  The grieving process is in reality the way we deal with any change psychologically, social-psychologically or sociologically on a micro, meso or macro scale.  And depending on the scale, the seven stages can occur over minutes, over years, even centuries.

In the list I have below I compare the resistance or friction to change with the action of change:

  • Occurrence – Recept State – Singularity – Exception occurs – Contacts
  • Shock or Disbelief – Cord State- Attempt to maintain current schedule (events) – Factums
  • Denial – Port State- Attempt to maintain current tools (location) – Factories
  • Anger – Record State – Attempt to maintain current domains (products) Factities
  • Bargaining – Report State – Attempt to maintain current attributions (services) – Factors
  • Depression – Accord State – Attempt to maintain current organization (contacts) – Factotums
  • Testing – Apport State – Attempt to maintain current motives (goals) – Factuals
  • Hope – Accept State – Pluralarity – Attempt to maintain existence (reality) – Facts

As you can see the fit with the Systema model is quite good and my “Fact” vocabulary fits well, too.  The process is inductive, you can call it the death cycle.  It works its way through the system structure, be it a person, group or hierarchy.  It also reveals something else, how each level of the organism will react.  Followed by induction, the tearing down of a belief system, we deal with deduction, which is building up a new belief system, the deductive lifecycle.


At the midpoints of the cycle exist singularities or infinity points.  At the top and bottom of the cycle exist pluralarities or zero points.

The OODA Loop

Colonel John Boyd, understood how to use induction and deduction against the enemy.  He knew that if you could disrupt the timing of your opponent you could disrupt everything else.  If your opponent lost his timing he would be in the wrong location with the wrong product for providing the wrong service to the wrong contact with the wrong goal.  Accelerate your cycle’s timing and your opponent is overwhelmed.


Norman Dixon, in his book, On the Psychology of Military Incompetence, provides a broad range of definitions of military incompetence, however Elizabeth Kübler-Ross boils it down to two phenomna with regard to change:

Getting Stuck

A common problem with the above cycle is that people get stuck in one phase. Thus a person may become stuck in denial, never moving on from the position of not accepting the inevitable future. When it happens, they still keep on denying it, such as the person who has lost their job still going into the city only to sit on a park bench all day.

Getting stuck in denial is common in ‘cool’ cultures (such as in Britain, particularly Southern England) where expressing anger is not acceptable. The person may feel that anger, but may then repress it, bottling it up inside.

Likewise, a person may be stuck in permanent anger (which is itself a form of flight from reality) or repeated bargaining. It is more difficult to get stuck in active states than in passivity, and getting stuck in depression is perhaps a more common ailment.

Going in Circles

Another trap is that when a person moves on to the next phase, they have not completed an earlier phase and so move backwards in cyclic loops that repeat previous emotion and actions. Thus, for example, a person that finds bargaining not to be working, may go back into anger or denial.

Circling is itself a form of avoidance of the inevitable, and going backwards in time may seem to be a way of extending the time before the perceived bad thing happens.

Related Posts:

Singularity, Pluralarity and Lorentz Transformation

Working with Malcolm Gladwell’s Tipping point, Ray Kurzweil’s Singularity and the Pareto Principle lead me to begin thinking about a pattern that presented itself. In an earlier post here and here I discussed how there had been many Singularities in history. It also lead me to talk about Pluralarites. Then it struck me there is an oscillation between Singularity and Plurality, giving us the Singularity Pluralarity Plot above. And the implications are interesting.

Any innovation follows the Singularity Pluralarity Plot as a complete life cycle. Kurzweil’s singularity will be no exception. The first working AI will be the domain of specialists it will not be unleashed uncontrolled on humanity and it will have been accomplished after several incremental developments that will leave humanity more than prepared for it. The AI will then have to be molded into compatibility to a variety of purposes. After that it will have to be iterated until it is reliable. Once it is reliable then the true singularity happens: the cost benefit ratio is achieved and AI becomes accessible to the general public. The next step is availability on the global market. Finally, AI will have to be always on and pluralarity is achieved. AI will be ubiquitous and the next innovation will take place. The commoditized original AI will begin its descent and a new innovation in AI or a completely new technology will take its place and begin its ascent.

There will be social upheaval, but I don’t think it will be as dramatic or as immediate as some think.  The anthropomorphization of AI will fade and it will just be considered another tool.

The first thing that occurred to me is that as there is a positive and negative infinity there is also a positive and negative zero. Whether the zero is positive or negative is determined by whether you approach it from positive values or negative values. The second thing that occurred to me is that a pluralarity to singularity transition is divisive while a pluralarity to singularity transition is multiplicative. The third thing that occurred to me is that it is possible to have a positive to negative transition. For example you could follow a positive singularity to positive pluralarity curve with a negative pluralarity to negative singularity curve which would ascend like a staircase. The fourth thing that became obvious is that on an exponential curve the Pareto Principle applies at both ends. It’s like applying Lorentz transformations. Fifth, I am currently reading Peter Drucker’s Innovation and Entrepreneurship and have discovered that seizing opportunity, Entrepreneurship, requires recognizing whether you are approaching a Singularity or a Pluralarity while creating opportunity, Innovation, is making a Singularity or Pluralarity. The final thought that occurred to me is what are the implications of this knowledge on network design, physics, chemistry, biology, databases, complexity, simplicity, organization, history, anthropology, evolution, commoditization? I’ll leave it there.

Systema: People Structure

Clay Shirky reveals the implications of structured, semi-structured and unstructured people

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more about “Systema: People Structure“, posted with vodpod

Link: Systema: Data Structure

Cooperation Studies: A New Story



Howard Rheingold, introduces a new story regarding how human systems are acting collectively. Cooperation has created entirely new systems with new motives, organization, processes, inventory, geography and tempos. And new technology is becoming a ever more powerful catalyst for cooperation as we are experiencing in smart mobs and wikinomics.

Here’s Howard’s own video on

Here’s Howard’s presentation at the TED 2005 Conference

A Beautiful Mess


The messy desk can be more efficient than a computer. 

The Social Life of Paper gives a very interesting perspective on the value of paper over other technologies.

Tufte’s Thinking and Paper discussion takes this concept further.

Anand Argarawala’s Bump Top brings the mess of the real desktop to the virtual desktop.

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