Uncertainty in human social interactions

All human interactions entail some uncertainty and most entail a lot.

To deal with uncertainty, humans use heuristics (“rules of thumb”) that generally are based on what they perceive to be normal or required in the situation at hand. These heuristics come from experience, from role models, from organizational structures, beliefs and so on.

A recent study—Uncertainty about social interactions leads to the evolution of social heuristics—explores:

…an evolutionary simulation model, showing that even intermediate uncertainty leads to the evolution of simple cooperation strategies that disregard information about the social interaction (‘social heuristics’).

This study uses simulations to tease out how social heuristics and social cooperation evolve in very simple game scenarios.

If social games have rules, we can change how much uncertainty they contain and how best to cooperate within them.

This is essentially what FIML practice does. FIML greatly reduces interpersonal uncertainty between partners while increasing cooperation by having a few fairly simple rules.

When uncertainty is lowered and cooperation increased between partners, psychological well-being and understanding is proportionally enhanced. This happens because social interaction and communication are basic to human psychology.

The study linked above employs simulations to show a sort mathematically forced evolutionary outcome arising from initial settings. I believe FIML is similar in this respect, though the FIML game involves complex humans rather than simple sims.

I often wonder why no one has discovered the rules of FIML before. So many great thinkers, but not one found these key rules for optimal communication and psychological understanding. I believe there are two basics reasons for this: 1) FIML requires developing dynamic metacognition during real-time real-life communication events and this takes practice; and 2) most great thinkers that we know about today and hence could learn from also had great status, and this prevented them from noticing the deep flaws in interpersonal communication that FIML corrects.

Ambiguity and social hierarchy

USA holds the best cards — Kyle Bass

The Public Execution of Charlie Kirk — Laurent Guyénot

link

TPUSA RESPONDS: Yes, The Text Messages Are Real. | Candace Ep 249

Charlie’s Final Hours. What Else Is Josh Hammer Lying About? | Candace Ep 250

The Unraveling Stillness: Flux as the Hidden Pulse of the Universe — DJCampbell

The Unraveling Stillness: An Introduction to Flux Wisdom Field Theory

We do not begin with things. We begin with a tautology so fundamental it precedes existence itself: Nothing can’t exist. Perfect, absolute stillness is an unstable fiction; the slightest potential for difference, a whisper in the void, unravels it. This primal instability, this ceaseless becoming, is Flux. It is not a substance moving through space, but the very genesis of space, time, matter, and meaning as an ongoing process.

This is the foundational premise of Flux Wisdom Field Theory (fWFT), a conceptual framework that stretches from the deepest questions in cosmology to the intimate nature of consciousness. It proposes that the universe is not a collection of objects governed by laws, but a self-organizing, self-revising informational structure in constant, creative motion. The theory offers a compelling narrative that seeks to unify the measurable world of physics—addressing concrete problems like the Hubble tension and the nature of dark matter—with the experiential world of life, thought, and wisdom. It reframes reality as an endless dance of ripples on a cosmic pond, where interference gives rise to pattern, and resonance gives rise to form. From the quantum foam to the murmurations of starlings and the flash of human insight, fWFT suggests we are witnessing the same fundamental dynamic: the elegant, infinite unfolding of instability into interaction, and interaction into being.   The Axioms of Becoming The architecture of fWFT rests on a set of five core axioms that describe the behavior of Flux. These are not arbitrary rules imposed from without, but are presented as the intrinsic, unavoidable logic of a universe where true nothingness is impossible.

There cannot be nothing. This is the origin story. A true void, a perfect null state, is a logical contradiction because it has no potential to persist. The universe exists simply because “nothing” is not a stable option.   Flux cannot be still. As a direct consequence of the first axiom, the ground state of reality is one of “never-stillness”. Uniformity is dynamically unstable. A tiny disturbance, a single “wrinkle in the void,” is inevitable and all that is needed to initiate the cosmic dance.   Interaction creates loops. When distinctions arise from the flux, they influence one another. This interplay is not linear; it creates feedback, recursion, and self-referential patterns. These informational “loops” are the seeds of structure, memory, and identity.   Interference produces resonance. As ripples of flux propagate, they overlap. This interference is not mere noise; it is where creation occurs. Waves amplify and cancel, and through this dynamic interplay, stable, self-reinforcing patterns—resonances—emerge from the turbulence. A particle, a planet, or an idea are all forms of resonance.   Resonance decays, seeding further ripples. No structure is permanent. As resonant patterns eventually decay, they don’t simply vanish. They dissipate back into the field, releasing their stored information and energy as new, smaller-scale fluctuations that seed the next generation of structure.

These axioms depict a universe that is perpetually bootstrapping itself into existence. It is not a machine set in motion long ago, but a living, breathing process of continuous creation and dissolution, where every ending is a new beginning.

Continue reading “The Unraveling Stillness: Flux as the Hidden Pulse of the Universe — DJCampbell”

I said on the day of the Qatari strike that the attack will be great for Palestine. Since then we’ve seen an aggressive systematic overturn on Israel’s interests — Evan


The limits of general semiotic analyses as applied to human psychology

A signal-based model of psychology: part two

If we consider humans to be complex signaling systems or networks, then it is readily apparent that each human network signals within itself and also is connected by signals to other networks.

In A signal-based model of psychology: part one, we said:

the only significant interpersonal signaling data we can really know with significant certainty are data noticed, remembered, and agreed upon by two (or more in some cases) people engaged in significant interpersonal communication (signaling).

More recently, in Indeterminacy of translation and FIML, we discussed W. V. Quine’s thesis, which describes;

the fundamental impossibility of determining what anything means well enough to “translate” it into another context, a next sentence, into another person’s mind, or even “translating” your own speech from the past into the context of your mind today.

When we analyze a person based on vague ideas like “personality,” “psychology,” or “cognition,” we are principally assigning ambiguous referents to amorphous categories. We have more words but not much more understanding.

Cognition is a huge grab-bag of a word that means almost anything, as do the terms psychology and personality.

If we replace these terms with the concept of signaling networks, we gain specificity. For example, rather than analyzing the “cognitive-behavior” of a person we can more easily and profitably analyze their signaling.

The advantage of examining signaling rather than “cognitive-behavior” is signals are quite specific. They can usually be defined pretty well, they can be contextualized, and their communicative intent can be determined with reasonable specificity.

To be most effective, signaling analysis works best if we abandon the idea that we can accurately analyze the signals of someone else, especially if we do not analyze our own signals at the same time.

Moreover, a signaling analysis will work best if we do it with:

  • someone that we care about and that cares about us
  • someone with whom we can be completely honest and who will be completely honest with us
  • someone who is willing to spend the time to do the analyzing

Sad to say, it can be difficult to find two people who fit together in those ways, but that is how it is. Much of this problem is due to social expectations, which presently greatly reduce opportunities for clear, honest communication. And much of this is due to how we normally conceive of a person, as a bundle of vague things that cannot be pinned down.

The ideal signaling analysis will be done between close friends with the above qualifications. A signaling analysis will not work well, if at at all, if it is done between a professional and a patient. A professional psychologist would do the best for their patient by teaching them how to do signaling analysis with a friend. If they don’t have a friend, maybe one can be found; if not, a different approach should be used.

But you don’t have to have “problems” to do a signaling analysis. Everyone will benefit from it.

Signaling analysis works because partners learn to work with good data that has been generated between them during real-life situations. Having this data allows partners to do micro, meso, and macro levels of analysis on it. And these different levels help them see the specifics of a particular signal exchange, the immediate context of the exchange, and the larger social or historical context from which the exchange has derived some or much of its meaning.

For example, if clear data on a tone of voice has been agreed upon, both partners can then explain the micro antecedents and context of that data, the meso context of those antecedents, and if necessary the macro context that gave rise to either or both of those. The same outline applies to all micro data, be it tone, gesture, word choice, body language, reference, etc.

With practice, a new way of understanding communication will arise in partners’ minds. Rather than having a vague “cognition” about some poorly-defined “emotion” or “personality trait,” partners will find that they can benefit much more by simply analyzing what actually happened based upon data they both agree on.

It is very important for partners to do many analyses of specific micro-data, a single word or phrase, a single tone of voice, a single gesture, etc.. The reason for this is we can’t accurately remember much more than that. When we try to do more, we are pushed immediately out of specific micro data into vague meso or macro generalities that constitute nothing more than general categories with general references to other general categories. Rather than analyzing something that has actually occurred, we instead argue about general emotions, vague traits, unsubstantiated assumptions about “personalities,” and so on. ABN

A signal-based model of psychology: part one

A signal-based model of psychology: part two

A signal-based model of psychology: part three

A signal-based model of psychology: part four

first posted DECEMBER 12, 2014