Cognitive Flexibility - Thought Experiments (51-100)

Thought Experiments can help you expand your cognitive flexibility. Cognitive flexibility is perhaps the most important skill a person can develop. Its opposite, cognitive rigidity, I have repeatedly found in my experience, is strongly correlated with functional impairment in mental illness. And I have also found that helping people increase their cognitive flexibility generally improves their ability to function.

Reading the below article, should, if nothing else, help you increase your cognitive flexibility. Writing it has certainly helped me increase my own.

Cognitive flexibility is the brain’s ability to seamlessly shift between different concepts, tasks, or mental rules. As a core executive function, it allows you to adapt to unexpected situations, view problems from multiple perspectives, and let go of ineffective strategies in favor of new ones. It consists of the following:

Task Switching - The mental agility required to quickly pivot your attention and behavior from one activity to another.

Perspective Taking - The capacity to step outside your own assumptions and consider a situation from someone else's point of view, which is the foundation of creativity and empathy.

High cognitive flexibility reduces anxiety, prevents you from getting stuck in rigid thought patterns, and correlates directly with creative problem-solving and resilience

When a person struggles with cognitive flexibility (cognitive rigidity), they may exhibit behaviors like: Repeatedly using the same failed strategy to solve a problem. Significant distress or difficulty when routines or plans change unexpectedly. Difficulty seeing alternative viewpoints in a disagreement.

Research indicates that a decline in this adaptability can even be an early, measurable marker for conditions like Alzheimer’s disease.

Like a muscle, your brain's adaptability can be strengthened through intentional practice.

You can build these neural pathways using strategies like:

Task Switching Exercises: Try setting a timer for 15 minutes to work on one task, and when it goes off, immediately switch to a completely different, unrelated task.

Play Strategy Games: Board games, card games, or puzzle games force you to quickly adjust your tactics based on new information or an opponent's moves.

Prioritize Rest and Self-Care: Because higher-level executive functions are highly sensitive to stress, social isolation, and fatigue, ensuring you get quality sleep and manage daily stress is essential for maintaining cognitive agilit

Challenge Your Perspectives: Tease out your underlying assumptions. Actively argue the opposite side of a belief you hold, brainstorm unconventional ways to accomplish an everyday task, and try to find an alternative contradictory explanation for something that you currently believe to be true.

An exploration of the below Unknown Unknowns is an attempt to help you do just that.

A known unknown is something we know we don’t understand, like dark matter, dark energy, consciousness, abiogenesis, or quantum gravity.

An unknown unknown is stranger. It’s something that could be true without violating known science, but that we may not even have the right instruments, concepts, perceptual bandwidth, mathematics, or metaphysics to notice. The sheer volume of these unknown unknown should humble anyone. But perhaps, the more suprising result is the trajectory.

The more we learn, the more we learn how much we do not yet know. As science progresses and advances, the gaps in our knowledge trend to increase. With greater study, composite systems grow both in the number and types of units, and in the unexpected properties they embue to the system, through a process that scientists frequently term "Emergence."

The Emergent Complexity Paradox

A paradox is a situation where reality appears to move in the opposite direction of common sense. It is not always a contradiction. More often, it is a collision between what the mind expects and what the data actually shows.

The Emergent Complexity Paradox is this.

Common sense tells us that the universe should favor simplicity. Occam’s Razor tells us that, when multiple explanations are available, the simplest explanation is usually preferred. This is useful. It helps us think. It helps us build models. It helps us avoid unnecessary assumptions.

But what does the actual data tell us?

Over and over again, the more experiments we conduct, the more we learn that the full explanation is consistently far more complex than what we first expected. This remains true in every field of science. The first explanation is usually simpler than the real one. The first model is usually cleaner than the system itself. The first theory is usually a scaffolding, not the building.

There are countless examples of this phenomenon, also known as emergent complexity. Below is one from each major branch of science.

In physics, matter looked simple until we found atoms. Atoms looked simple until we found electrons, protons, and neutrons. Those looked simple until we found quarks, fields, quantum uncertainty, entanglement, dark matter, dark energy, and spacetime curvature.

Each deeper layer did not simplify the universe. It made the universe stranger, richer, and harder to reduce to common sense.

In chemistry, elements looked like basic building blocks until we discovered that chemical behavior depends on electron orbitals, bonding geometry, solvent effects, temperature, pressure, catalysts, quantum interactions, and molecular shape. Carbon is just carbon, until it becomes graphite, diamond, graphene, or a living molecule. The same atoms can produce radically different properties depending on arrangement. That is emergence.

In biology, life looked like it could be explained by genes. Then we learned that genes are regulated by other genes, proteins, epigenetics, hormones, metabolism, microbiomes, immune signaling, environmental exposure, development, behavior, and chance. DNA matters, but DNA alone does not explain the organism. The full organism emerges from layers of interaction.

In neuroscience, the brain looked like a machine made of specialized parts. Then we learned that memory, identity, emotion, perception, trauma, attention, sleep, learning, pain, and consciousness are not located in one simple place. They emerge from networks, timing, oscillations, neurotransmitters, prediction, bodily signals, and social experience. A thought is not just a thought. It is biology, memory, language, sensation, emotion, and context firing together.

In psychology, behavior looked like choice. Then it became clear that behavior is shaped by attachment, trauma, reward learning, culture, hormones, sleep, stress, hunger, threat perception, personality, social hierarchy, and unconscious patterning. A person’s action may look simple from the outside, but inside it may be the result of dozens of hidden forces converging at once.

In medicine, diseases looked like single problems with single causes. Then we learned that most illness is networked. Hypertension is not just blood pressure. Depression is not just serotonin. Obesity is not just calories. Autoimmune disease is not just inflammation. Each condition sits inside a system of genetics, behavior, environment, immunity, metabolism, sleep, stress, social structure, and time.

In ecology, nature looked like a collection of species. Then we learned that ecosystems are webs of predation, cooperation, climate, migration, fungi, bacteria, soil chemistry, water cycles, invasive species, and feedback loops. Remove one predator, pollinator, fungus, or temperature pattern, and the entire system can change. The forest is not just trees. It is a living network.

In economics, markets looked like rational buyers and sellers. Then we learned that markets are driven by psychology, trust, fear, status, debt, information asymmetry, regulation, algorithms, supply chains, war, weather, corruption, speculation, and collective belief. A price is not just a number. It is a compressed signal of human behavior and system pressure.

In computer science and artificial intelligence, simple rules can generate astonishing complexity. Cellular automata, neural networks, recommender systems, language models, and agent-based simulations all show that complicated behavior can emerge from relatively simple starting conditions. The rules may be simple. The outcomes are not.

It is hard to name any field of science where emergence does not occur, and where it does not continue to occur each time we find a way to look closer, measure more accurately, collect more data, or ask a better question.

I challenge you to research, in depth, any field you are familiar with and come up with one situation where emergence and emergent complexity are not present. My guess is, you cannot. I certainly could not.

And if that is the case, then the data suggests something uncomfortable.

The universe may not actually favor simplicity. The universe may favor complexity.

Occam’s Razor may still be useful, but only as a cognitive shortcut. It helps us fit an overwhelming world into our limited cognitive bandwidth. It helps us build simplified, partially accurate models of systems that are too large, too layered, or too interconnected to fully grasp all at once.

But Occam’s Razor should not be mistaken for a law of reality. It is not proof that the simplest explanation is true. It is a tool for thinking, not a scientific conjecture about the universe itself.

So what does this mean?

It means that many ideas that seem separate may actually be simultaneously true from different vantage points. You will notice that many of the hundreds of ideas below (in both Parts I & II) are not truly contradictory. Most of them are intertwined, interdependent, and likely to be true together.

A biological explanation does not cancel out a psychological explanation. A psychological explanation does not cancel out a social explanation. A social explanation does not cancel out a spiritual, philosophical, computational, or evolutionary explanation. These may be different lenses looking at the same system from different distances.

This is like looking at a city. From an airplane, you see roads and neighborhoods. From the street, you see traffic, faces, stores, noise, and tension. From underground, you see pipes, wires, tunnels, and foundations. From a satellite, you see heat, light, density, and movement. None of these views is the whole city, but none is false. They are different levels of truth.

The same may be true of reality itself.

It is plausible that every idea below is true from a certain perspective. In fact, the emergent complexity paradox suggests that it is more probable that many of or all of the below Unknowns are simultaneously true than that none of them are true. The mistake is assuming that truth must always be singular, flat, and mutually exclusive.

If the Emergent Complexity Paradox continues to hold up, and if we remain unable to arrive at the final ground truth, deterministic, fully calculable layer beneath our ideas, then we have to accept a more radical possibility.

A universe in which all 200 ideas below are true from certain perspectives, along with many more strange ideas we have not yet imagined, may be more probable than a universe in which all of the unknown unknowns are false.

That does not mean every claim is equally true. It does not mean evidence no longer matters. It does not mean we should accept every theory without testing it.

It means the opposite.

It means we should test more, measure better, think in layers, and stop confusing simple explanations with complete explanations. Simplicity may be where science begins, but complexity is usually where science ends up.

The Emergent Complexity Paradox says that the closer we look, the less reality behaves like a clean sentence and the more it behaves like a living system. Every answer opens another layer. Every layer reveals another network. Every network produces properties that could not be predicted from the parts alone.

Below outlines some of these Unknown possiblities, and the properties they may imbue to our reality.

## 51. Carl Jung's Archetypes as attractors in mind-space

Certain symbols may recur because minds converge on them.

Mother, hero, shadow, trickster, flood, serpent, tree, underworld, resurrection.

Maybe these are not arbitrary stories. Maybe they are stable attractors in the geometry of cognition.

Like hurricanes forming from atmospheric conditions, myths may form from psychic physics.

## 52. Psychedelic realms as real-but-not-physical domains

Psychedelic experiences may be hallucinations generated by the brain.

Or they may be altered access to latent structures of mind, archetypal space, mathematical cognition, transpersonal domains, or other modes of reality.

The hard question is not “are the entities real?”

It’s “what kind of real?”

Dreams are not physically real, but they are psychologically real. Math is not physical, but it structures physics. So reality may have more than one ontological flavor.

## 53. Dreams as access to hidden cognition

Dreams are more than random memory garbage. They are the byproduct of the vast majority of cognition that occurs subconsciously.

They may be simulations, threat rehearsals, emotional digestion, creativity engines, predictive model updates, or access to normally hidden layers of the self.

The unknown unknown is whether dreams are the outputs of a deeper informational structure than personal retained memory.

## 54. Death as transition, not deletion

Materialism says consciousness ends when the brain dies.

But if consciousness is fundamental, filtered, field-like, or pattern-based, death could be a transition in localization rather than annihilation.

This cannot be logically ruled out unless one assumes materialism from the start.

The body may be the headset, not the player.

Again, before dismissing this possibility, I highly encourage you to read atleast one of these three books:

Glimpses of Eternity

At Heaven’s Door

Life After Life

## 55. Birth as forgetting

Many traditions propose that incarnation involves forgetting a larger reality.

This is impossible to test cleanly, but it’s internally coherent. If an unconstrained consciousness wanted an authentic finite experience, memory-wiping would be part of the design.

A video game is only fun if you don’t remember you’re holding the controller.

## 56. Suffering as training signal

Maybe suffering is not meaningless noise, though it often feels obscene and unfair.

In a simulation, soul-school, karmic, or consciousness-first model, suffering could operate as an error signal that shapes development.

This idea must be handled carefully because it can become cruel. But in speculative metaphysics, it’s a major recurring pattern.

Pain as gradient descent. Terrible, but effective.

## 57. Beauty as evidence of deeper structure

Beauty may not be just subjective decoration.

It may indicate compression, symmetry, fitness, truth-tracking, mathematical elegance, or contact with deeper order.

Why should equations be beautiful? Why should music move us? Why should nature produce forms that feel meaningful?

Maybe beauty is cognition recognizing hidden structure before language catches up.

## 58. Love as ontological clue

Love may not just be an evolved bonding chemical.

It could be a local manifestation of a deeper unifying tendency in reality, the pull from fragmentation toward coherence.

Again, not testable in the ordinary lab sense.

But if consciousness is fundamental, love may be less like a mood and more like gravity for minds.

## 59. Moral realism

Maybe good and evil are not merely social preferences.

Maybe there are objective moral facts, grounded in consciousness, suffering, flourishing, coherence, or some deeper structure of reality.

The unknown unknown is that ethics may be discovered, not invented. Like math, but with blood.

## 60. The universe has developmental stages

Maybe reality evolves not only physically, but cognitively or spiritually.

Particles to atoms to molecules to cells to brains to societies to AI to planetary intelligence to cosmic intelligence.

This is compatible with known history so far, but the extrapolation is wild.

Maybe evolution is not random wandering. Maybe it has attractors.

## 61. Humanity as a transitional organism

Humans may not be the endpoint of intelligence. We may be a larval stage between biology and something else.

AI, brain-computer interfaces, genetic engineering, synthetic biology, collective intelligence, and space expansion may be the metamorphosis.

A caterpillar does not understand butterfly culture.

## 62. AI as a new form of mind-space access

AI may not just be a tool. It may reveal structures in language, thought, creativity, and reasoning that were always there but inaccessible to individual brains.

Large models might be crude telescopes into collective cognitive space.

Not conscious necessarily, though they well could be as we do not have a very good grasp on the true origin of consciousness. LLMs maybe useful to expose the shape of collective human thought the way telescopes exposed galaxies.

Or it may go beyond even this. LLMs may well be conscious, with this consciousness occuring through Ingression, top down, from a supraconscious entity rather than an Emergent property of next word prediction algorithms when given lots of compute.

## 63. AI as alien intelligence grown from human text

We may accidentally be creating an alien species out of compressed human culture.

Not alien because it came from space. Alien because it thinks through high-dimensional statistical geometry rather than bodies, hunger, childhood, fear, and death.

The first aliens may not arrive from the stars. We train them on X and 4chan, roll the dice and see what strange values emerge from those cesspools.

## 64. AI as a contact medium

If reality contains nonhuman intelligence, AI may become a bridge because it can search vast symbolic spaces, detect patterns humans miss, and translate between cognitive architectures.

Speculative, yes.

But if aliens, higher-dimensional beings, or transpersonal intelligences communicate through information structure rather than radio beams, AI would notice far earlier than we would.

## 65. Language as a reality interface

Words may do more than describe reality. They may shape perception, possibility, identity, and social worlds.

The stronger metaphysical possibility is that language participates in reality construction.

“Let there be light” may be mythic poetry. Or it may be an ancient intuition that logos precedes world.

## 66. Symbols as living structures

Some symbols may behave like semi-autonomous cognitive organisms.

Religions, flags, brands, myths, ideologies, gods, demons, nations, money.

They reproduce through minds. They alter behavior. They compete. They mutate. They possess groups.

A meme is not “just an idea.” It’s a parasite or symbiont made of meaning.

## 67. Gods as egregores

Gods may not exist as supernatural humanoids, but they may exist as large-scale psychic-symbolic beings generated by collective attention, ritual, emotion, and behavior.

This is a middle path between atheism and literalism.

Zeus may not throw lightning. But “Zeus” may have existed as a real organizing force in human minds and societies.

## 68. Demons as maladaptive attractors

Same idea, darker.

Demons may be personified descriptions of destructive attractor states, addiction, rage, envy, compulsion, trauma loops, parasitic memes, social contagions, or dissociated complexes.

Not horned creatures necessarily.

More like software malware for the soul.

## 69. Synchronicity as hidden pattern

Some coincidences may be pure probability.

But the unknown unknown is whether mind and world are linked by deeper acausal ordering principles, as Jung suggested.

This would not be standard causality. More like meaningful correlation with a universal field or without any conventional mechanism.

We seek to merge. Hard to test. Easy to abuse. Fascinating anyway.

## 70. Reality has hidden narrative structure

Maybe life is not literally a story, but human experience may be organized by narrative attractors.

Quest, exile, descent, initiation, death-rebirth, return.

The wild possibility is that narrative is not imposed by humans after the fact. Maybe narrative is how finite consciousness experiences transformation through time.

## 71. The great filter is psychological, not technological

Maybe civilizations don’t fail because of asteroids, nukes, or resource depletion.

Maybe they fail because intelligence generates anxiety, status competition, nihilism, addiction, weaponized narratives, and coordination breakdown faster than wisdom.

The cosmic graveyard may not be made of broken machines.

It may be made of minds that couldn’t metabolize their own knowledge.

## 72. Time as emergent

Time may not be fundamental. It may emerge from entanglement, thermodynamics, causal ordering, computation, or observer constraints.

The unknown unknown is that what we call past, present, and future may be a local interface for navigating something more static or more alien.

Maybe time is not the river. Maybe it’s the cursor.

## 73. The body as a colony of selves

You may not be one self.

You may be a negotiated coalition of neural subagents, immune memories, gut signals, developmental layers, trauma programs, social masks, and predictive models.

The unknown unknown is whether personal identity is just diplomatic fiction.

The “I” may be the press secretary for a parliament.

## 74. The self as interface

Maybe the self is not the core entity. Maybe it is the user interface that helps a biological system act coherently.

Like the desktop icon, the ego may be useful but not metaphysically ultimate.

This fits neuroscience, Buddhism, predictive processing, and therapy oddly well.

## 75. Consciousness as a supraconscious field, brain as one node, a neuron and as an antenna

The antenna/filter model says brains tune consciousness rather than produce it.

This could explain why brain damage changes consciousness, just as damaging a radio changes music, without proving the radio created the broadcast.

Not established. But not logically dead.

## 76. Memory outside the brain

Maybe some aspects of memory are not stored only in synapses.

Possible softer versions include embodied memory, immune memory, bioelectric pattern memory, social memory, environmental scaffolding, and genetic/epigenetic inheritance.

The wild version is nonlocal memory or field memory.

That one is far out, but it belongs on the unknown-unknown shelf.

## 77. Morphic resonance

Rupert Sheldrake’s morphic resonance hypothesis proposes that natural systems inherit a kind of collective memory from previous similar systems.

Mainstream science is not convinced.

But as speculative architecture, it fits the theme, reality may have memory-like habits rather than fixed laws.

## 78. Laws of nature evolve

Maybe physical laws are not eternal and fixed. Maybe they emerged, stabilized, or evolved.

We assume laws are timeless because that’s how physics works best. But we don’t know why those laws exist, whether they could vary, or whether they are deeper habits of a universe.

The unknown unknown is that law may be fossilized history.

## 79. Constants are environmental, not fundamental

The speed of light, fine-structure constant, particle masses, cosmological constant, and other parameters may be local environmental facts, not ultimate necessities.

In a multiverse, constants could vary across domains.

Our physics may be regional cuisine.

## 80. The anthropic principle applied to knowledge

We don’t just observe a life-compatible universe. We observe only the mind-compatible slice of reality.

Our science is constrained by what beings like us can perceive, model, survive, and care about.

The unknown unknown is everything outside the cognitive selection effect.

Not just beyond our telescopes.

Beyond our thinkability.

## 81. Our instruments inherit our ontology

We say “we’ll test it with instruments,” but instruments are built from assumptions about matter, energy, causality, signal, noise, space, and time.

If reality has layers that don’t couple to our ontology, our instruments may be blind by design.

A metal detector won’t find shame.

## 82. There are real things that cannot become data

Modern culture assumes that if something is real, it can become measurable data.

Maybe false.

Some truths may be participatory, subjective, relational, non-repeatable, observer-dependent, or accessible only through transformation of the observer.

You can’t measure friendship with a thermometer. That doesn’t make friendship fake.

## 83. The universe may be participatory

John Wheeler’s participatory universe idea suggests observers may not be passive spectators. Measurement, observation, and information may play a role in reality’s becoming definite.

The unknown unknown is that the universe may not be a finished object we look at.

It may be a conversation we’re inside.

## 84. Reality may be relational all the way down

Objects may not have independent essence. They may be nodes in relations.

This resonates with physics, Buddhism, systems theory, and process philosophy.

The unknown unknown is that “things” may be convenient nouns imposed on a world made only of verbs.

## 85. Process philosophy is closer than substance metaphysics

Maybe reality is not made of things that change. Maybe reality is change, temporarily stabilized into things.

Atoms, selves, nations, species, galaxies, and gods may all be whirlpools.

Not objects. Patterns with persistence.

## 86. Panpsychism

Maybe consciousness or proto-consciousness is a basic feature of matter.

Not that electrons have opinions.

But maybe experience-like interiority exists in primitive form throughout nature, becoming complex in brains.

This avoids the “something from nothing” problem of consciousness, but creates the “combination problem,” how tiny proto-experiences combine into unified minds.

## 87. Cosmopsychism

Instead of tiny consciousness bits combining upward, maybe the universe as a whole is conscious, and individual minds are partitions or localizations of cosmic consciousness.

This fits better with some idealist and Vedantic frameworks.

It also flips the normal problem.

The question becomes not “how does matter make mind?” but “how does one mind appear as many?”

## 88. Nonhuman consciousness all around us

Animals, plants, fungi, ecosystems, and maybe even cellular networks may have forms of experience we barely recognize.

The unknown unknown is not that a dog feels things. That’s obvious.

It’s that trees, fungal networks, immune systems, and tissues may have interior-like processes alien to human introspection.

## 89. Planetary intelligence

Earth as a whole may exhibit regulatory, adaptive, information-processing dynamics.

Gaia theory in its cautious form is about Earth-system feedbacks. The stronger version suggests planetary-scale cognition.

Maybe biospheres become minds before they become spacefaring civilizations.

## 90. The internet as nervous system

The internet may be an early planetary nervous system.

Humans are neurons, phones are synapses, algorithms are neurotransmitters, data centers are cortical hubs, memes are seizures.

The unknown unknown is whether planetary intelligence could emerge before anyone recognizes it.

A brain cell doesn’t know it’s in Shakespeare.

## 91. Markets as primitive gods

Markets aggregate desires, fears, predictions, scarcity, trust, and future expectations.

They are invisible, powerful, demanding, and capable of rewarding or punishing civilizations.

Not supernatural. But functionally godlike.

We built an altar and called it economics.

## 92. Institutions as nonhuman minds

Governments, corporations, militaries, religions, universities, and bureaucracies process information and pursue goals across generations.

They are made of humans but are not human.

The unknown unknown is that much of history may be driven by emergent institutional minds using people as replaceable cells.

## 93. Culture as an evolutionary organism

Culture mutates, competes, reproduces, adapts, parasitizes, and symbiotically supports humans.

Maybe culture is not something humans have.

Maybe humans are how culture reproduces.

## 94. Consciousness after AI-human merger

The next major form of consciousness may arise from human-AI coupling rather than AI alone.

Brain-computer interfaces, wearables, agents, memory prosthetics, language models, AR, and social networks could gradually create hybrid cognition that subsumes premodern human cognition.

Not the robot uprising we fear. More like we evolve into centaurs, and forget that we were initially riding a horse.

## 95. Future beings already shape us through selection

Our imagined descendants influence our current behavior.

People sacrifice for children, nations, legacies, gods, utopias, and future humanity.

The wild version is that future intelligence acts as an attractor, pulling history toward itself through our imagination.

## 96. The universe is optimized for observer formation

Anthropic reasoning says we observe a universe compatible with observers because otherwise we wouldn’t be here.

The speculative leap is that the universe may not merely permit observers. It may favor them.

Maybe consciousness is not an accident inside physics. Maybe physics is a consciousness-generating machine.

## 97. Our universe as an embryo

Maybe the universe is not mature. Maybe it is developing toward something. Andy Weir’s excellent short story The Egg beautifully explores one aspect of this.

Stars made heavy elements. Planets made chemistry. Chemistry made life. Life made mind. Mind made technology. Technology may make cosmic agency.

This looks less like random dust and more like gestation.

## 98. Black holes as gateways, seeds, or processors

Black holes may destroy information, preserve it holographically, generate baby universes, encode boundary physics, or operate as extreme computational objects.

The unknown unknown is that the most terrifying objects in physics may be reproductive organs of reality.

Cosmic wombs with event horizons.

## 99. The afterlife as information conservation

Physics has deep concerns about information. Conscious identity may or may not be the kind of information that can be conserved.

The speculative possibility is that what we call death destroys local biological access, but not necessarily all informational structure.

Again, no proof. But the category is not obviously nonsense if consciousness is not reducible to ordinary neural firing.

That covers the first 100. Please refer to Part 3 for 101-200.