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Thank you so much. Honestly, it’s an honor to answer respectfully asked, intellectually honest questions.
-hugs

THE UNIVERSE, AND ALL IN IT, IS EVEN MORE SIMPLE THAN WE ASSUMED.
And we humans are at the bleeding edge of evolutionary computation of complexity.

RE: –“Entropy does not decrease”– @curtraymond
That’s absolutely false. 😉

That’s what matter consists of: increases in organization by increases in density (negative entropy).

One might say that entropy never ceases, but that doesn’t mean that the by product of entropy isn’t all of material existence and it’s effects until all the energy in the universe settles to the zero point (dead).

Matter accumulates by the ternary logic of evolutionary computation, which can easily be illustrated with Markov Chains.

Something which Stephen Wolfram @stephen_wolfram is doing in his research and development work: evolutionary computation by competition between hierarchies of randomly processing Markov chains – with which he is quite successfully demonstrating the determinism of the universe’s constitution and ending the theory of the ‘finely tuned’ universe, and consequently putting another stake in the vampire heart of creationism.

And no I don’t err. We all make mistakes. But I very rarely err. And in this case I certainly do not. ;). Why? The universe is quite simple. almost disturbingly so, and certainly humbling. 😉

Cheers

Curt Doolittle
The Natural Law Institute
The Science of Cooperation

Reply addressees: @curtraymond @ScottAdamsSays

RT @curtdoolittle: @AMaskedMartyr @ScottAdamsSays RE: SIMULATION THEORY
(pseudoscience, sophistry, ‘religion’.)
–“Q:Curt:Could I get you t…

RE: SIMULATION THEORY
(pseudoscience, sophistry, ‘religion’.)
–“Q:Curt:Could I get you to spell out for me how simulation theory reflects the behavior of human memory?”—@AMaskedMartyr

Always happy to answer intellectually honest questions respectfully asked. 😉

We reconstruct memories constantly in response to present modeling, patterning, and understanding. ie: reverse causality.

Add to this that while we perceive space and time within our range of sense and perception with extraordinary accuracy for any purpose for which we are capable of acting.

However, we project our auto-associative ‘predictions’ (imaginations) upon that accurate perception and thus create cause and consequence in our imaginations from the oft ignorant, erroneous, if not absurd content we have managed to accumulate in memory over time.

So, we differ within the margins of human indifference, in ability, in bias, in experience, in knowledge, and as such in presumptions. And we project a near infinite fiction both causal(back) and consequential (forward) on top of local sense perception (present).

Reality however remains objective and consistent independent of of those differences in our projections – and that’s why we require such a thing as truth: decidability – so that it is still possible to cooperate on means if not ends, when there are differences in our perceptions of cause and consequence.

Simulation theory is nonsense.

But you know, from what I understand at the moment, the discipline of philosophy is essentially dead and has been for as long as physics has been failing.

Affections;
Please feel free to ask questions for clarification.
Curt Doolittle
The Natural Law Institute
The Science of Cooperation

Reply addressees: @AMaskedMartyr @ScottAdamsSays

(Diary)
I can feel my lips again.
You know, going to the dentist as a kid, pre-novocain was traumatic. These days, you know, it’s hard to tell the difference between a cleaning and a filling. 😉

And yes, given that it’s now a business captured by women means I can turn the office into a comedy show. 😉

Her: “Hi I’m (name). I’ll be working with you today.”
Me: “Not possible. You’re too pretty to be a doctor.”
Assistant (sorta-friend from Romania): “Well, what should she be then?” (she’s cunning)
Me: “I walked into that one.” 😉

I love science. 😉

RE: –“[nonsense] debunks the theory of evolution.”–

Uh. No.
There are at least two people, Stephen Wolfram @stephen_wolfram (and his staff) in mathematical language and I @curtdoolittle (and my staff) in operational language, who understand the DETERMINISM of evolutionary computation – and just how causally simplistic it is.

The fact that we are on the bleeding edge of articulating the logic of the science of the universe is different from the fact that there are those who are ignorant of it, laggards, luddites and fundamentalists that will take generations to catch up.

I mean, we still have people who deny Darwinian selection. It’s hard to imagine that. But it’s true.

CD

Reply addressees: @Jkb358 @ScottAdamsSays

RT @curtdoolittle: @AutistocratMS @BlemmyaeTruther Me too. Dunno why. Your insight that what we usually call leftist magical thinking, is…

Me too. Dunno why. Your insight that what we usually call leftist magical thinking, is the equivalent of, and more accurately explained as creationism is correct and a frame of reference we should use more frequently.

Revolt. Reformation. I’ve done the work. Whether people will show up in sufficient numbers to save themselves and their civilization is the only question.

THE HIERARCHY OF CYCLES (SOME OF THEM)
1. Cognition and Recovery cycles (Work and Recovery)
2. Learning and Forgetting Curves (Adaptation)
3. Fashion Cycles (Novelty and Status)
4. Culture Cycles (Sortition and Status)
5. Economic Cycles (Opportunities to Cooperate)
6. Generational Cycles (Agency and Status)
7. and Civilizational Cycles (Opportunities to Cooperate)

COGNITIVE ENDURANCE CYCLES
The concept of individual differences in attention span and cognitive endurance is well-established in the field of psychology and has significant implications for learning. Several theories and models have been proposed to explain these differences:
(a) Expenditure
Cognitive Load Theory (John Sweller, 1988):
This theory suggests that learning is hampered when the cognitive load (the amount of mental effort required to process information) exceeds an individual’s working memory capacity.
Some learners may have a higher tolerance for cognitive load, allowing them to concentrate for longer periods without experiencing mental fatigue.
Attention Restoration Theory (Stephen Kaplan, 1995):
This theory proposes that prolonged mental effort leads to directed attention fatigue, which can be restored through exposure to natural environments or other restorative experiences.
Individuals with better attention restoration abilities may be able to concentrate for longer periods without experiencing exhaustion.
Self-Regulated Learning (Barry Zimmerman, 1989):
This model emphasizes the role of metacognition, motivation, and strategic action in learning. Effective self-regulated learners are able to monitor their own cognitive states and adjust their learning strategies accordingly.
Learners with strong self-regulation skills may be better equipped to manage their attention and persist in the face of frustration or fatigue.
Working Memory Capacity (Alan Baddeley and Graham Hitch, 1974):
Working memory refers to the cognitive system responsible for temporarily holding and manipulating information during complex cognitive tasks.
Individuals with higher working memory capacity may be able to process more information simultaneously and maintain concentration for longer periods.
Personality Traits and Temperament:
Personality traits such as conscientiousness, grit (Angela Duckworth, 2007), and self-control (Walter Mischel, 1972) have been linked to persistence and the ability to sustain effort in the face of challenges.
Temperamental differences, such as those described by the “effortful control” dimension in Mary Rothbart’s theory of temperament (1989), may also contribute to individual variations in attention and cognitive endurance.
(b) Recovery:
The time needed to recover from cognitive load and mental fatigue varies among individuals and depends on several factors, such as the intensity and duration of the cognitive task, the individual’s cognitive capacity, and the effectiveness of their recovery strategies. While there is no single, universally accepted time frame for cognitive recovery, several theories and research findings offer insights into this process:

Ultradian Rhythms:
Nathaniel Kleitman (1963) proposed that the human body operates on 90-120 minute biological cycles called ultradian rhythms, which alternate between periods of high and low alertness.
This concept was further popularized by Ernest Rossi (1991), who suggested that taking a break every 90-120 minutes can help optimize cognitive performance and reduce mental fatigue.
Microbreaks and Recovery:
Studies have shown that taking short breaks (e.g., 5-10 minutes) during prolonged cognitive tasks can help maintain performance and reduce fatigue (Henning et al., 1997; Tucker, 2003).
These microbreaks can involve brief physical activity, relaxation techniques, or simply disengaging from the task at hand.
Sleep and Cognitive Recovery:
Sleep plays a crucial role in cognitive recovery and memory consolidation (Stickgold, 2005; Walker, 2009). A full night’s sleep (7-9 hours for adults) is often necessary for complete cognitive recovery after a day of mentally demanding activities.
Naps, particularly those that include slow-wave sleep (around 60-90 minutes), have also been shown to provide cognitive benefits and support recovery from mental fatigue (Mednick et al., 2003).
Attention Restoration Theory:
As mentioned earlier, Attention Restoration Theory (Kaplan, 1995) suggests that exposure to natural environments or other restorative experiences can help reduce mental fatigue and improve cognitive performance.
The time needed for attention restoration may vary depending on the individual and the quality of the restorative experience, but research suggests that even short exposures (e.g., 10-15 minutes) to nature can provide cognitive benefits (Berman et al., 2008).
Individual Differences and Recovery:
Individual factors such as age, physical fitness, and cognitive reserve can influence the time needed for cognitive recovery (Stern, 2009; Hillman et al., 2008).
Additionally, the use of effective coping strategies, such as stress management techniques and social support, can help facilitate recovery from mental fatigue (Sonnentag & Fritz, 2007)

LEARNING AND FORGETTING CYCLES
there are various theoretical perspectives on the time frames associated with the adoption of habits, learning, mastery, and recovery from trauma. Let’s explore some of these ideas:

Habit formation (3-4 weeks):
In his book “The Power of Habit” (2012), Charles Duhigg popularized the idea that habits can be formed in 21 days, based on a passage from Maxwell Maltz’s “Psycho-Cybernetics” (1960).
More recent research, such as Phillippa Lally’s study “How are habits formed: Modelling habit formation in the real world” (2010), suggests that the average time for habit formation is 66 days, with a range of 18 to 254 days, depending on the complexity of the habit and individual differences.
Adoption of frames of reference in learning (3-4 years):
Jean Piaget’s theory of cognitive development proposes that children go through four stages, each lasting several years. The preoperational stage (ages 2-7) is characterized by the development of symbolic thinking and language, which shape a child’s understanding of the world.
Lev Vygotsky’s sociocultural theory emphasizes the role of social interaction and cultural tools in cognitive development. His concept of the “zone of proximal development” suggests that learning occurs through the guidance of more knowledgeable others, a process that extends over several years.
Mastery of a discipline (10,000 hours or 10 years):
In his book “Outliers” (2008), Malcolm Gladwell popularized the idea that it takes roughly 10,000 hours of deliberate practice to achieve mastery in a field, based on research by Anders Ericsson.
However, the exact time frame for mastery varies depending on the domain and individual factors. For example, in their paper “The Role of Deliberate Practice in the Acquisition of Expert Performance” (1993), Ericsson and colleagues found that elite musicians had accumulated an average of 10,000 hours of practice by age 20.
Recovery from trauma (3-4 years):
Judith Herman’s book “Trauma and Recovery” (1992) outlines three stages of trauma recovery: safety, remembrance and mourning, and reconnection. She suggests that this process typically takes several years, with individual variations.

FASHION CYCLES
Several theorists have proposed explanations for shorter-term cycles in areas such as fashion, consumer behavior, and popular culture. Some notable examples include:
Everett Rogers (1931-2004): In his book “Diffusion of Innovations” (1962), Rogers proposed a model for how new ideas and products spread through a population. His model includes five adopter categories: innovators, early adopters, early majority, late majority, and laggards.
Henrik Vejlgaard (contemporary): In his book “Anatomy of a Trend” (2008), Vejlgaard proposed a “Diamond-Shaped Trend Model” to describe how trends in fashion, design, and culture move through different segments of society, from trendsetters to mainstream consumers.
Dick Hebdige (1951-): In his book “Subculture: The Meaning of Style” (1979), Hebdige examined the cyclical nature of youth subcultures and their styles, arguing that they emerge as forms of resistance but are eventually co-opted by mainstream culture.
Thorstein Veblen (1857-1929): In his book “The Theory of the Leisure Class” (1899), Veblen introduced the concept of “conspicuous consumption,” arguing that the wealthy consume highly visible goods to display their status. This behavior trickles down to lower classes, driving fashion cycles.
Georg Simmel (1858-1918): Simmel, a German sociologist and philosopher, wrote about fashion cycles in his essay “Fashion” (1904). He argued that fashion is driven by the dual desires for individuality and conformity, leading to a cyclical process of innovation and imitation.
Alfred Kroeber (1876-1960): Kroeber, an American anthropologist, studied women’s fashion between 1844 and 1936. In his paper “On the Principle of Order in Civilization as Exemplified by Changes of Fashion” (1919), he identified regular cycles in dress length and width.
Paul Nystrom (1878-1969): Nystrom, an American marketing scholar, proposed a theory of fashion adoption in his book “Economics of Fashion” (1928). He argued that fashion moves through stages of introduction, acceptance, and obsolescence.

POPULAR CULTURE CYCLES
Popular culture, which encompasses music, film, television, and other forms of mass media entertainment, also exhibits cyclical patterns. Several theorists have examined these cycles from different perspectives:
Marshall McLuhan (1911-1980): McLuhan, a media theorist, proposed that the medium of communication itself shapes the content and impact of popular culture. In his book “Understanding Media” (1964), he argued that the rise of electronic media would lead to a “global village” and a retribalization of society, altering the cycles of popular culture.
George Lipsitz (1944-): In his book “Time Passages: Collective Memory and American Popular Culture” (1990), Lipsitz examined how popular culture reflects and shapes collective memory. He argued that popular culture cycles are tied to larger social and political cycles, serving as a site of struggle over meaning and identity.
Simon Reynolds (1963-): In his book “Retromania: Pop Culture’s Addiction to Its Own Past” (2011), Reynolds analyzed the increasing tendency of popular music and culture to recycle and revive past styles. He argued that this “retromania” is a product of digital technology, cultural nostalgia, and the exhaustion of innovation.
Jean Baudrillard (1929-2007): Baudrillard, a postmodern theorist, argued that in contemporary society, reality has been replaced by simulations and signs. In his book “Simulacra and Simulation” (1981), he suggested that popular culture cycles are part of a larger process of “hyperreality,” where the distinction between the real and the imaginary is blurred.
Pierre Bourdieu (1930-2002): In his book “Distinction: A Social Critique of the Judgement of Taste” (1979), Bourdieu examined how cultural preferences and practices, including engagement with popular culture, are shaped by social class and education. He argued that cultural cycles are tied to the reproduction of social hierarchy.

ECONOMIC CYCLES
Economic cycle theories, such as the Kondratiev wave, also known as the long wave or K-wave, propose that capitalist economies go through long-term cycles of boom and bust. The most notable theorists in this area include:
Nikolai Kondratiev (1892-1938): Kondratiev was a Russian economist who identified long economic cycles lasting 50-60 years. He argued that these cycles consisted of alternating periods of high and low growth, and were driven by technological innovations.
Joseph Schumpeter (1883-1950): Schumpeter built upon Kondratiev’s work and proposed that these long waves were driven by clusters of technological innovations, which he termed “creative destruction.” He argued that the boom and bust cycles were an inherent part of the capitalist system.
Simon Kuznets (1901-1985): Kuznets identified medium-term economic cycles lasting 15-25 years, now known as Kuznets swings or cycles. These cycles were related to infrastructure investments, such as construction and transportation.
Clement Juglar (1819-1905): Juglar identified short-term business cycles lasting 7-11 years, characterized by periods of economic expansion followed by periods of recession.
Ralph Nelson Elliott (1871-1948): Elliott developed the Elliott Wave Theory, which proposes that financial markets move in repeating, fractal-like patterns driven by investor psychology. While not strictly an economic cycle theory, it is often applied to the analysis of stock markets and other financial instruments.

GENERATIONAL CYCLES
In their book “The Fourth Turning,” William Strauss and Neil Howe refer to the ancient Roman concept of “saeculum” when discussing generational cycles.

A “saeculum” was a long human lifetime, which ancient Romans believed was the maximum length of time it took for a generation to be born, come of age, grow old, and then die out. They believed that this cycle repeated itself in a recurring pattern.

Strauss and Howe adapted this concept to their theory of generational cycles in American history. They argue that each saeculum lasts about 80 to 90 years, encompassing four generations or “turnings,” each lasting around 20-22 years.
These four turnings are:
The High
The Awakening
The Unraveling
The Crisis
According to their theory, as each generation ages and moves through the four stages of life (childhood, young adulthood, midlife, and elderhood), their collective attitudes and behaviors shape the mood and direction of the nation, leading to the rise and fall of institutional life and the rhythms of history.

CIVILIZATION CYCLES
Several theorists have proposed various theories about the cyclical nature of civilizations throughout history. Some of the most notable ones include:
Oswald Spengler (1880-1936): In his book “The Decline of the West,” Spengler proposed that civilizations have a natural lifespan and go through cycles of birth, growth, maturity, and decline.
Arnold J. Toynbee (1889-1975): In his 12-volume work “A Study of History,” Toynbee argued that civilizations rise and fall in response to external and internal challenges.
Pitirim Sorokin (1889-1968): In his book “Social and Cultural Dynamics,” Sorokin proposed that societies oscillate between three cultural mentalities: ideational, sensate, and idealistic.
Carroll Quigley (1910-1977): In his book “The Evolution of Civilizations,” Quigley proposed that civilizations go through seven stages of development: mixture, gestation, expansion, age of conflict, universal empire, decay, and invasion.
Samuel P. Huntington (1927-2008): In his book “The Clash of Civilizations,” Huntington proposed that in the post-Cold War world, conflicts would arise primarily from cultural and religious differences between civilizations.
Neil Howe and William Strauss (b. 1947 and 1947-2007, respectively): In their books “Generations” and “The Fourth Turning,” they propose a cyclical theory of history based on repeating generational archetypes and cycles called “saecula.”
Ibn Khaldun (1332-1406): This Arab historian proposed a cyclical theory of the rise and fall of civilizations in his book “The Muqaddimah,” based on the concept of “asabiyyah” or social cohesion.

Closing
So there you have a sampling of the hierarchy of cycles that begin with individual differences in cognition and result in the collective consequence of those differences at different time frames.

Cheers,
Curt Doolittle
The Natural Law Institute
The Science of Cooperation

Reply addressees: @Kamuela