Active Learning

Learn, UnLearn, Learn.

Understanding should never stay put. It is important to get a new understanding. Understanding can always be improved. 

There are two ways to do good science.
The first is to be smarter than everybody else.
The second way is to be stupider than everybody else—but persistent in the cycle of learn, unlearn, learn.

Hacked from Raoul Bott’s quote.

My father died on July 30th, 2013 and I intend to honor him, if I can, by writing a blog about him and the consequences of me integrating his ideas every year.  First year,  Second YearThird Year, Fourth YearFifth YearSixth Year, Seventh Year. This is the eighth year.

On Gestalt Science: Relational Complexity and Comparative Science
David West Keirsey and David Mark Keirsey

On the nature of ideas: almost right, almost wrong, brilliantly confused, sloppy confused.

On Ansatz and Ersatz Ideas

Feynman Diagram

No ideas are absolutely right. Good Ideas, that are almost right, model the world well. However, words are slippery and ambiguous, open to misinterpretation for those who are ill informed or misinformed. Ideas are model metaphors, limited in context.

Almost Right.

Green Ideas sleep furiously

There are almost right ideas that are complex ideas. These almost right ideas are a mixture of fast and slow ideas in a circumcised context. These ideas take time to be developed and are not the complete answer. These ideas are opposed or ignored by society in general. Moreover, the incumbent experts of the fast ideas vehemently oppose the incorporation of the slow ideas, but eventually accepted when their time has come.

Keirsey Temperament

The Keirsey Temperament Model (KTM) is a framework for understanding yourself and others. Millions of people have benefitted from the KTM, even though there was no advertising of it, except through word of mouth.

Keirsey Temperament Model’s Top Matrix

The Keirsey Temperament Model does not address, explicitly, the effect of gender, culture, and other environmental factors and influences on a person’s character, which are important factors in the development of an individual. On the other hand, understanding a person’s Temperament often can help in understanding these other factors and influences.

Quantum Mechanics and Quantum Potential

Quantum mechanics is the most accurate approximate theory in Science. Heisenberg’s Uncertainty Principle is correct but incomplete in understanding, because it is a principle (an assumption) not an explanation.  The debate between QM (ala Schrodinger, Heisenberg (Born), Dirac) versus the “hidden variable” QM Bohm-Einstein, both assume the continuity of the speed of light relative to the Planck scales (time, mass, energy, distance, spin, and charge). David Bohm’s new Quantum Potential (via The Undivided Universe) is a better ontological model than conventional QM; however, still doesn’t address the digital (Diophantine) nature of reality.

Quantum Potential

Quantum mechanics does not predict the right magnetic moment of the muon or tauon. And there are the three neutral leptons that have no explanation. Moreover, there is no set of relations, at this point of time (2020), that conventional physics has any hope of using to bridge that Fermi-Dirac-Landau gap. The Ersatz concepts of Dark Matter and Quantum Entanglement are vacuous rhetorical concepts pushed by the neo-Ostwaldian prophets. Quantum entanglement is a real phenomena, but the popular explanations are nonsensical. Formatics will hopefully address these issues.

Almost Wrong.

Give me a fruitful error any time, full of seeds,
bursting with its own corrections.
You can keep your sterile truth for yourself.
Vilfredo Pareto

There are almost wrong ideas that are much better than vague or confused ideas. These almost wrong ideas often are ground breaking for a time, and they are crucial in the evolution of science and ideas. These are the fast ideas or slow ideas of yesteryear. They’re the best science at the time, limited in the scope, and clearly to some degree very incomplete.

Personality Types

Isabel Myers created the Myers-Briggs Type Indicator (MBTI) and helped millions of individuals understand themselves better as individuals. Most people are not very good at introspection, but the MBTI although atomistic in its approach, the four linear factors [E-I,N-S,T-F,P-J], provided a better set of factors to see the People Patterns, than looking to doGs, daemons, tea leaves, 2000 year old texts, or dead ancestor’s droppings, to understand and as a guide to operate in the past, present, and future.

Isabel Myers modification and adding to Carl Jung’s vague and sloppy ideas was a major improvement. The idea that people are inborn in their different wants, needs, and styles of behavior, often contrary to their families, friends, and communities, was a game changing idea against the early and dominant 20th century blank slate ideas of Watson/Skinner or simplistic primal instinct theories of Freud and Pavlov. Can the individual be explained by four factors? No, but as an initial way of looking at an individual for the “content of their character”

Relativity and Particle Types

Energy/Matter: Isaac Newton was extremely successful when he invented differential and integral calculus to model Kepler’s concept of the motion of the heavens. Newton used his newly coined (mathematical) concepts of mass and fluxons to generate a simple equation relating these two to universal gravity. He also was the first to guess that light was a particle. He obviously had no idea of electrons, protons, and the particle and force zoo that his followers would expand upon.

Space/Time: Einstein, abandoned his work on Brownian motion and the photoelectric effect (involving a Planck constant), to concentrate on the mismatch between Hamiltonian mechanics and Maxwell’s equations. With the use of covariant tensors and the formalism of the Minkowski space, Einstein generated an approximate model of Newton’s guess at gravity that has been excellent in predicting interesting phenomena such as the bending of light waves, time dilation, gravity waves, and phenomena such as black holes. On the other hand, Einstein’s field equations cannot explain the rotation of galaxies and the evolution of the universe without numerous fudge factors (the Gravitational “constant”, the Hubble “constant”, “Dark Matter”, and “Dark Energy”). Einstein’s equations do not involve the Planck (finite) constants, in some sense hiding behind infinity.

From all this it is to be seen how much the limits of analysis are enlarged by such infinite equations; in fact by their help analysis reaches, I might say, to all problems, the numerical problems of Diophantus and the like excepted. [Editor’s emphasis]

Isaac Newton (Letter to Gottfried Leibniz on the advantages of infinitesimal calculus)

Ersatz Ideas: Brilliantly Confused or Sloppy Confused.

“Nothing is more obstinate than a fashionable consensus

Margaret Thatcher

These ersatz “confused” ideas are to be explored in more detail in a later blog; however, what follows is a short introduction of the concepts to be developed further. My father spent most of his life combating or ameliorating the effects of confused ideas. But it is not enough to criticize ideas that one considers wrong or confused, better ideas must be built from from old ideas and new ideas that address the issues finessed or ignored by the ideas of the current time.

Das ist nicht nur nicht richtig; es ist nicht einmal falsch!

Wolfgang Pauli

Almost Right and Almost Wrong Ideas are the bulk of science; however, there are ideas that arise that are either Brilliantly Confused or Sloppy Confused, that contribute to the evolution of science. These ideas are a little more complex to describe in their role in the evolution of science.

“What you said was so confused that one could not tell whether it was nonsense or not.”

Wolfgang Pauli (to Lev Landau)

Brilliantly Confused ideas often open up new vistas implicitly. To a degree the Brilliantly Confused ideas are partially right, but typically, for wrong reasons. Archetypes of Jung and Freud’s “talking cure” were better than the torture methods of the medics of the first half of the twentieth century, but ultimately have no scientific basis other than vague metaphors. String Theory was promising in the beginning, once Green and Schwarz figured out the right scale, but it rested on a bad assumption: mass and energy are continuous and proportional factors in non-equilibrium circumstances. These ideas eventually fade, but seem to never die.

Sloppy Confused Ideas are wrong turns on bad assumptions (often seen in hindsight, but sometimes obvious to a silent or silenced minority). The “Mental Illness” metaphor used to rationalize psychiatry’s and the pharmacological industry to drug their patients or clients, often compounding the problems of these victims of abuse from dysfunctional families and/or institutions. In the science of cosmology, Steven Hawking used his credibility and dominate position in the field to speculate about how the world works, the popular media loving to advertise his every word. However, Steven Hawking and David Deutsch’s Multiverse is more religion than science.

Active Learning: Learn, Unlearn, Learn

The thing I miss about my father, besides our spirited and long debates, was his interest in ideas. He was always up for discussing them. Looking at them and examining the pros and cons of ideas: how they are almost right, almost wrong, brilliantly confused, and sloppy confused. Understanding can always be improved.

I bailed out of Chemistry and Electrical Engineering as undergraduate to go into computing; however, I never gave up on trying to learn more and understand more, like quantum computing. With a fifth watching of Andrea Morello’s interview, I am still learning, unlearning, learning.

I also didn’t continue to learn more “mathematical” (non-discrete) concepts beyond my BS and MS degrees. Only in the last couple of decades I have gone back to learning, unlearning, learning other mathematical domains. For example, in understanding internal structure and dynamics, Peter Scott’s article The Geometries of 3-Manifolds has valuable information about the eight kinds of geometries in three dimensions.

Architect Rationals include: Mary SomervilleDavid Mark KeirseyJames MadisonSrinivasa RamanujanEmmy NoetherPaul DiracRobert RosenDavid West KeirseyAlbert EinsteinLonnie AthensDavid Bohm

Slow Ideas

Comparative Science and Relational Complexity

We would debate for hours.

Over decades.

Only the educated and self-educated are free.

My father died on July 30th, 2013 and I intend to honor him, if I can, by writing a blog about him and the consequences of me integrating his ideas every year.  First year,  Second YearThird Year, Fourth Year, Fifth Year  This is the sixth year.

When I was young, my father would introduce and discuss, around the dinner table, the ideas of philosophers, scientists, and historians: like Adam Smith, Charles Darwin, Herbert Spencer, John Stuart Mill, Georg Hegel, William James, Arthur Schopenhauer, Bertrand Russell, Oswald Spengler, Will Durant, Ayn Rand, Milton Erickson, and Jay Haley, to name a few.

I had a question early on “How and Why does the World Work?” He had a more difficult question: “What are the long-term patterns of an ‘Individual’s Human Action?” He was clinical school psychologist, who was identifying deviant habits of children, parents, and teachers. He was developing techniques aimed at enabling them to abandon such habits. His methods of research and reasoning enabled him to evolve his ideas into a coherent system. His model of Human Temperament has helped many people to better understand themselves and others.

He was good at qualitative reasoning, wholistic thought: the Gestalt (despite [and because] of having lots of training in statistics). I became good at quantitative reasoning: conventional science and mathematics. Between the two of us, as we debated, I realized that there was a middle way, much more powerful than ad hoc wholistic reasoning or ad hoc atomistic reasoning, when they are used separately. The new middle way, The Slow Idea, is using Comparative Science and Relational Complexity in conjunction as fields of scientific endeavor using systematic qualitative and quantitative reasoning together. To some extent: (hard and soft) science, mathematics, and computer science are towers of Babel, not able to understand each other’s argot and considered irrelevant to other.

The idea ofSlow Ideas <=> Fast Ideas

The root of this idea appeared just recently, thanks to Atul Gawande. He and Matt Ridley noted that ideas operate very much in an evolutionary manner.

Fast Ideas and Slow Ideas

FAST IDEAS WORK

eventually, SLOW IDEAS WORK BETTER, and longer

Atul Gawande introduced the idea of slow and fast ideas with an example from the 19th century. The fast idea was anesthesia and the slow idea was antiseptics. To quote him:

“Why do some innovations [ideas] spread so swiftly and others so slowly? Consider the very different trajectories of surgical anesthesia and antiseptics, both of which were discovered in the nineteenth century.”

“The first public demonstration of anesthesia was in 1846…”

“The idea [anesthesia] spread like a contagion, travelling through letters, meetings, and periodicals. By mid-December, surgeons were administering ether to patients in Paris and London. By February, anesthesia had been used in almost all the capitals of Europe, and by June in most regions of the world.”

Antiseptics, on the other hand, was a slow idea. It took decades for antiseptics to accepted by doctors, who had no incentives to change their practices that didn’t help them immediately. Blood stained clothes was a sign of a experienced surgeon; and washing hands, sterilizing instruments, and keeping hospitals clean seemed unnecessary. Germ theory was dismissed by doctors because the “germs” were not readily observed. Miasma Theory still was used as an excuse to not change.

Hey buddy, can you spare a Para-digm?

“Science advances one funeral at a time.” — Max Planck

“The trouble with specialists is that they tend to think in grooves” — Elaine Morgan

Establishment science needs to protect themselves from quacks, but it also resists slow ideas that are not easily incorporated into the current fashionable (often fast) ideas. This is natural, this is the way evolution works. However, Kuhnian revolutions (as in Margulian-Darwinian evolution) are necessary in science to progress and leap across the Quantum Gap.

Lost Horizons

There is no Shangri-La, except in Fiction

But in life, there is hope,

until there doesn’t appear to be.

What do Ludwig Boltzmann, Alan Turing, Yutaka Taniyama, and David Foster Wallace have in common?  All were successful from a outside point of view.  Each were very smart, and many would say they were geniuses.  But, they all committed suicide.

I would posit, in the end of their lives, they had lost view of their horizons.  Lost Horizons.  Horizons of the mind.

A gypsy of a strange and distant time
Travelling in panic all direction blind
Aching for the warmth of a burning sun
Freezing in the emptiness of where he’d come from

Is that all there is?

Weltschmerz

Infinite Jest

olivier-hamlet

“Alas, poor Yorick! I knew him, Horatio: a fellow of infinite jest, of most excellent fancy: he hath borne me on his back a thousand times; and now, how abhorred in my imagination it is!”

Ludwig Boltzmann:  Statistical Mechanics
Alan Turing: Entscheidungsproblem (decision problem)
Yutaka TaniyamaTaniyama–Shimura–Weil conjecture
David Foster Wallace: Infinite Jest

Successful people who commit suicide are a mystery why in they don’t see life is worth living.

Ludwig Eduard Boltzmann, Architect Rational, (February 20, 1844 – September 5, 1906) was an Austrian physicist and philosopher whose greatest achievement was in the development of statistical mechanics, which explains and predicts how the properties of atoms (such as mass, charge, and structure) determine the physical properties of matter(such as viscosity, thermal conductivity, and diffusion).

Alan Mathison Turing, Architect Rational, OBE FRS (June 23, 1912 – June 7, 1954) was an English computer scientist, mathematician,  logician, cryptanalyst, philosopher  and theoretical biologist. He was highly influential in the development of theoretical computer science, providing a formalisation of the concepts of algorithm and computation with the Turing machine, which can be considered a model of a general purpose computer. Turing is widely considered to be the father of theoretical computer science and artificial intelligence.

Yutaka Taniyama, Architect Rational, (Japanese: 谷山 豊 Taniyama Yutaka; 12 November 1927, Kisai near Tokyo – 17 November 1958, Tokyo) was a Japanese mathematician known for the Taniyama–Shimura conjecture.

David Foster Wallace, Architect Rational, (February 21, 1962 – September 12, 2008) was an American writer and university instructor of English and creative writing. His novel Infinite Jest (1996) was listed by Time magazine as one of the hundred best English-language novels published between 1923 and 2005. His last novel, The Pale King (2011), was a final selection for the Pulitzer Prize for Fiction in 2012.

“Until yesterday I had no definite intention of killing myself. But more than a few must have noticed that lately I have been tired both physically and mentally. As to the cause of my suicide, I don’t quite understand it myself, but it is not the result of a particular incident, nor of a specific matter. Merely may I say, I am in the frame of mind that I lost confidence in my future. There may be someone to whom my suicide will be troubling or a blow to a certain degree. I sincerely hope that this incident will cast no dark shadow over the future of that person. At any rate, I cannot deny that this is a kind of betrayal, but please excuse it as my last act in my own way, as I have been doing my own way all my life.”  — Yutaka Taniyama

To attain insight, to see what no others see, to be on top of that mountain:

We can only see a short distance ahead, but we can see plenty there that needs to be done.  — Alan Turing

The Logic of Madness?   The Ultimate Dark Escape?

The Naturalist

She was born a Natural.

Born when it wasn’t natural.

“Mathematics are the natural bent of my mind”
— Mary Somervillemarysomervillebyswinton

It was in her nature to be a scientist — damn the culture.

In fact, she was to become the first named scientist.  William Whewell, in his 1834 review of Somerville’s Connexion, coined the word “scientist” to describe Somerville.

Her mother taught her to read the Bible and Calvinist catechisms, and when not occupied with household chores Mary roamed among the birds and flowers in the garden.  In her autobiography Somerville recollects that after returning from sea her father said to her mother “This kind of life will never do, Mary must at least know how to write and keep accounts”. Thus the 10-year-old was sent for a year of tuition at Musselburgh, an expensive boarding school. Somerville learned the first principles of writing, rudimentary French and English grammar. Upon returning home, she:

“…was no longer amused in the gardens, but wandered about the country. When the tide was out I spent hours on the sands, looking at the star-fish and sea-urchins, or watching the children digging for sand-eels, cockles, and the spouting razor-fish. I made collections of shells, such as were cast ashore, some so small that they appeared like white specks, some so small that they appeared like white specks in patches of black sand. There was a small pier on the sands for shipping limestone brought from the coal mines inland. I was astonished to see the surface of these blocks of stone covered with beautiful impressions of what seemed to be leaves; how they got there I could not imagine, but I picked up the broken bits, and even large pieces, and brought them to my repository.”

Mary Somerville, Architect Rational, (1780-1872) was an innovative and talented science communicator, with an extraordinary (and mostly self taught) grasp of mathematics in an era when most women had no access to formal education. As a direct result of her work, calculus was introduced to the English speaking scientific world, the idea of physics (as a single subject containing topics such as optics, thermodynamics and astronomy) was invented, and the term “scientist” was coined to describe people who studied the various sciences.

Continue reading

Form

He didn’t get it.

I was surprised, kinda.  But it made sense, why he didn’t think much of my suggestion.  In fact, in his seminar at UCIrvine Information and Computer Science department (as tactic to get MIT to give him a better offer as a tenured faculty member), he dismissed my “idea”, quickly, even though he had asked (obviously rhetorically, in hindsight) for suggestions as a kind of Socratic presentation tactic in his talk.

My mentioning of Kirchoff’s law as a parallel in regards into information flow, he thought irrelevant, and was rather dismissive.  But who was I, just a graduate student from a west coast Podunk U [which eventually was a key university in the development of the World Wide Web].  He was an assistant Professor from MIT, angling for tenure.

kirchoff_law_1

This time I understood.  Although I didn’t have a name for it at the time.  I just shut up.

Now, I call it eucaryotic hubrisWe all have it, in the area of our expertise and our vast areas of ignorance.

This time, I had had enough encounters with these kind of guys to not be in awe of them. I didn’t assume I was at fault in not understanding, and not smart enough it “get what they are promoting”.  They were just as ignorant as I was, despite being a “MIT Professor”.

And, Stupid, as me.  So when I was watching one of Geoffrey Hinton’s youtube talks…

carl_hewitt_stupid

I had interacted this “professor” before, in that seminar.   And I had listened to some of his other conference talks, he is very very very smart and accomplished.  So smart, these days, he is a distinguished emeritus faculty member, at the institution he got his BS and PhD at.  He has never had to move out of Massachusetts, or MIT.  No, this guy wasn’t Marvin Minsky, but his student.  So when Hinton told his offhand story, about Professor Carl Hewitt, I had to laugh.  Deja vu, all over again.

“Indeed, in their later years (after finding out that most others are faking an understanding of the laws of nature), INTPs [Architect Rationals] are likely to think of themselves as the master organizers who must pit themselves against nature and society in an unending effort to create organization out of the raw materials of nature.” – Please Understand Me II,  Keirsey, David. Please Understand Me II (Kindle Locations 4099-4107). Prometheus Nemesis Book Company. Kindle Edition.

As scientists, we all are struggling with understanding:

Formatics: Precise Qualitative and Quantitative Comparison. Precise Analogy and Precise Metaphor: how does one do that, and what does one mean by these two phrases? This is an essay, in the form of an ebook, on the nature of reality, measure, modeling, reference, and reasoning in an effort to move towards the development of Comparative Science and Relational Complexity. In some sense, this ebook explores the involution and envolution of ideas, particularly focusing on mathematics and reality as two “opposing” and “fixed points” in that “very” abstract space. As Robert Rosen has implied there has been (and still is going on) a war in Science. Essentially you can view that war as a battle between the “formalists” and the “informalists” — but make no mistake the participants of this war are united against “nature” — both are interested in understanding the world and sometimes predicting what can and will happen, whether that be real or imagined. So… I will ask the questions, for example, of “what could one mean” precisely by the words: “in,” “out,” “large,” and “small.” The problem is both Science and Mathematics are imprecise — but this sentence contains fighting words and is impredicative, to say the least. In my father‘s terms, it is important to distinguish between order and organization, and understand the difference. Lastly, for now, the concepts and their relations, in the circle of ideas of “dimensions of time” and dimensions of energy along with the dimensions of space and dimensions of mass will be explicated, as I evolve (involute and envolute) this ebook. SO WHAT IS HE TALKING ABOUT? Let me try to explain.

Formatics

Other Architect Rationals include: Mary SomervilleDavid Mark KeirseyJames MadisonSrinivasa RamanujanEmmy NoetherPaul DiracRobert RosenDavid West KeirseyAlbert EinsteinLonnie AthensDavid Bohm

Gestalt Science and Formatics related blogs: Gestalt ScienceReimaginingFeynmanThat Relational ThingThe Digital Sand ReckonerTowards Quantum FormaticsThe Ring that Binds and GrindsPrimeOn the Question of Learning WordsOne Ring that Binds Them AllThe FunctionalWithin the Edge of…

Inventor Rationals include: Feynman, Atul GawandeLarry PageElaine MorganLynn MargulisElon MuskSteve JobsJoseph James SylvesterFrances CrickPaul AllenWerner Von BraunWolfgang PauliAbraham LincolnMark TwainHedy LamarrJulius Sumner Miller, and Zhang Xin

Prime

Partitions: Exact Approximations

… there is something strange going on with Primes
Paul Erdös

champagne_bubbles

Never mind the mock theta, Ramanujan’s gap, Namagiri dreams.

ramanujan_book

When Srinivasa Ramanujan wrote to G. H. Hardy in the 16th of January 1913, he had some remarkable formulas in that letter.  So remarkable are some of his formulas that mathematicians have been studying Ramanujan’s notebooks of formulas for new mathematical insights to this day, more than a hundred years later.
I beg to introduce myself to you as a clerk in the Accounts Department of the Port Trust Office at Madras… I have no University education but I have undergone the ordinary school course. After leaving school I have been employing the spare time at my disposal to work at Mathematics. I have not trodden through the conventional regular course which is followed in a University course, but I am striking out a new path for myself. I have made a special investigation of divergent series in general and the results I get are termed by the local mathematicians as “startling”. 
Hardy invited him to England because some of the formulas “had to be true, because no one could have the imagination to make them up”.   But there were no proofs.  However, when this poor vegetarian Indian Hindu came to England, eventually Hardy showed Ramanujan (thru Littlewood) that his formula on Primes was not EXACTLY correct. So Ramanujan had to bend to Hardy and work on his proofs of some of his formulas, so when they tackled the function of Partitions P(n), Ramanujan with the help of Hardy got to point where they “cracked” Partitions (and could prove it). They developed a direct formula that computed the number of partitions pretty accurately, and at the limit (infinity) it was “perfect” — and, could by truncating the number for high partition number to an integer could guarantee to be exact: since the number of partitions of integers is an whole number (i.e., the real number series “formula” converges with an deceasing error rate). Together they “cracked” the problem where neither man could do it alone. Ramanujan supplied the “intuition” (the finding of the hidden pattern) and Hardy provided the rigor to explain why the pattern is true.  The method they created, in this instance, was called the “circle method” — and it has been used ever since by numerous mathematicians for various other results.

Continue reading

On the Question of Learning Words…

… and Tools.

“It is important to understand that the Four Temperaments are not simply arbitrary collections of characteristics, but spring from an interaction of the two basic dimensions of human behavior: our communication and our action, our words and our deeds, or, simply, what we say and what we do.” — David West Keirsey

My father died on July 30th, 2013 and I intend to honor him, if I can, by writing a blog about him and his ideas every year.  First year,  Second Year, Third Year, Fourth Year.david_west_keirsey_young_man

David West Keirsey (August 31, 1921 – July 31, 2013)

For last year’s words belong to last year’s language
and next year’s words await another voice.
— T.S. Eliot

He concentrated on them:  the use of words,

Continue reading

Booking Thru Life

Adventures of a Viking Reading Bystander

The curtain rises on the scene
With someone shouting to be free
The play unfolds before my eyes
There stands the actor who is me

Enryo (遠慮) is one of the most quintessential Japanese concepts.  “Restraining speech/actions towards people” (「人に対して言語・行動を控え目にすること」).

A Stranger in a Strangeland.

img_0068

world_we_live_in_bindHow could that be?

I was born on top of the world.  The middle class, white suburbs in Southern California, in 1950.  White, Anglo-Saxon, Protestant heritage: (that dreaded 21st century epithet WASP).

Then, Why a stranger in a strangeland?

There were hills that I couldn’t climb when I was young. I was sheltered by my dreams, now stellated mirrors in the sun.

Everybody: just like me?

Continue reading

A Turning Point

David West Keirsey: Self Portrait
David Keirsey self portrait(August 31, 1921 – July 30, 2013)

My father died on July 30th, 2013 and I intend to honor him, if I can, by writing a blog about him and his ideas every year.  This is the third year.  First year.  Second Year. Third Year. Fourth Year.

“I regard myself as the last living Gestalt Psychologist”
— David West Keirsey

Gestalt: German word for form or shape

He wrote a short autobiography at the bequest of us, it was titled: Turning Points.  It chronicles some of the turning points of his life.  I want to write “an intellectual history” of him using some of that material plus my fading memory about the ideas we discussed in those many years, since it might be instructive to see how and why his ideas were formed and evolved.  Moreover, I think that his developed “methodology” of qualitative factor analysis and synthesis can contribute to the progress in science.

Continue reading