Predictive Evolution Theory: A Revolutionary Fusion of Electromagnetic Intelligence and Plasma Cosmology
Reconceptualizing Evolution through Nested Electromagnetic Fields, Predictive Adaptation, and Interdisciplinary Insights from Plasma Cosmology and Anticipatory Systems
What If?
When we think about evolution, we often imagine a slow, reactive process. Species adapt to their environment over countless generations in response to external pressures. But what if evolution isn’t just reactive? What if it’s predictive? Guided by a universal network of electromagnetic fields that encode and share information across the cosmos. Welcome to Predictive Evolution Theory (PET), a groundbreaking concept nestled within the Electric Universe theory and plasma cosmology framework.
Let’s unpack PET. Explore how it redefines evolution. And then compare it to some fascinating studies and theories in the realms of anticipation and adaptation. Along the way, we’ll see how PET emerges as a sophisticated, holistic, and interdisciplinary model. One that eclipses traditional evolutionary paradigms.
Introducing Predictive Evolution Theory (PET)
At the heart of PET is the idea that electromagnetic fields (EMFs) are vast reservoirs of information. They stored blueprints for every organism and decoded data about environmental conditions, changes, and potentials. Organisms interact with these EMFs through a two-way feedback system. They receive signals. They adapt. And they then transmit updates back into the field.
DNA acts as a hexagonal antenna. It resonates with electromagnetic waves to decode and encode information. This interaction is scalable. It cascades through nested layers of EMFs from the galactic level to the local environment.
Plasma, water, and all matter serve as information reservoirs. These reservoirs are not inert. They are dynamic. Constantly communicating through electromagnetic forces. Organisms alternate rhythmically between external (EMF) and internal (biofield) information sources in a process informed by Denis Pelletier’s Dual Supersession theory.
PET proposes that this predictive capacity enables rapid adaptation, particularly in simpler organisms, and forms the foundation of evolution as an active, information-driven process.
Reviewing the Studies: Bridging PET and Established Research
“Evolution and Anticipation” by Roberto Poli
Poli’s work on anticipatory systems posits that organisms act not just in response to current stimuli. It is based on predictions of future states. His two-layered framework distinguishes between implicit (unconscious) and explicit (conscious) anticipation.
How It Aligns: PET echoes Poli’s emphasis on prediction. But grounds it in a physical mechanism. Electromagnetic fields as reservoirs of information and DNA as an antenna for processing signals. Both frameworks highlight the proactive nature of adaptation.
Where It Differs: Poli’s focus is philosophical and lacks a connection to electromagnetic or cosmic forces. These are central to PET.
Reconciliation: PET provides a physical underpinning for Poli’s abstract anticipatory systems. It suggests that implicit anticipation may arise from organisms decoding electromagnetic signals.
“Modes of Evolutionary Anticipation” by Andrew M. Simons
Simons distinguishes between reactive adaptation (response to immediate changes) and predictive adaptation (preparation for potential changes). He discusses bet-hedging strategies as a form of predictive adaptation.
How It Aligns: PET’s concept of organisms processing multiple adaptation blueprints mirrors Simons’ predictive adaptation. Both emphasize the utility of preparing for potential futures.
Where It Differs: Simons’ bet-hedging is trait-focused and does not consider the role of electromagnetic signals or cosmic-scale influences. PET extends predictive adaptation to universal information exchange.
Reconciliation: PET reframes bet-hedging as a manifestation of electromagnetic-driven adaptation. Where information reservoirs guide the creation of diverse adaptation pathways.
“Adaptive Prediction Emerges Over Short Evolutionary Time Scales” by Adrián López García de Lomana et al.
This study demonstrates the emergence of adaptive prediction in yeast exposed to structured environmental cycles. This showed rapid genetic and regulatory changes.
How It Aligns: PET aligns with the study’s findings of rapid adaptation and anticipatory behaviour. Both suggest that structured environmental cues drive predictive changes.
Where It Differs: The study attributes these adaptations to genetic mutations and regulatory changes without invoking electromagnetic fields or information reservoirs.
Reconciliation: PET interprets these results through its lens. They suggest that environmental cycles acted as EMF signals influencing DNA’s response. This embeds the study within PET’s framework.
Ontological Perspectives by Roberto Poli
Poli’s ontological approach to anticipation focuses on layered systems. Where interactions at one level cascade to others. This philosophical perspective offers a framework for understanding nested systems.
How It Aligns: PET’s cascading EMFs resonate with Poli’s layered ontology. Both view systems as interconnected and mutually influential.
Where It Differs: Poli’s approach is abstract and lacks the mechanistic detail of PET.
Reconciliation: PET grounds Poli’s ontology in physical mechanisms. It uses cascading EMFs as the medium for layered information exchange.
Comparing and Reconciling the Theories with PET
Each of these theories and studies contributes valuable insights:
Poli’s anticipation framework provides structural clarity.
Simons’ reactive vs. predictive adaptation aligns with PET’s anticipatory focus.
López García de Lomana et al.’s study offers empirical evidence of rapid predictive adaptation.
PET integrates these ideas into a cohesive model that transcends their individual limitations by:
Adding a universal scale through electromagnetic resonance.
Providing a mechanistic basis for anticipation via DNA and EMFs.
Framing adaptation as a feedback loop in nested, cascading systems.
Key Differentiators of PET
Cosmic Scale and Resonance
One of the most distinctive features of PET is its emphasis on the cosmic scale of adaptation. Unlike traditional evolutionary models that focus solely on local environments. PET suggests that organisms resonate with electromagnetic waves originating from celestial bodies such as the Sun, the Moon, planets, and even distant galaxies. These cosmic signals are not merely background noise but carry vital information that organisms decode and integrate into their adaptive processes.
This perspective positions life on Earth as part of a universal, interconnected system of resonance and adaptation. Thus, it aligns with the Electric Universe theory’s emphasis on cosmic electromagnetic interactions.
EMFs as Information Reservoirs
PET identifies electromagnetic fields as dynamic repositories of adaptation blueprints. Plasma, water, and all matter act as information reservoirs. They are constantly transmitting and receiving electromagnetic signals. This understanding transforms the role of the environment in evolution. It is no longer a passive backdrop. It is an active participant in the exchange and generation of adaptive information.
Plasma dynamics, magnetohydrodynamics, electromagnetic waves, information feedback loops, and vortices are foundational to this concept. They provide the mechanisms through which information is stored, organized, and communicated across scales.
Dual Supersession
Informed by Denis Pelletier’s theory of Dual Supersession, PET introduces the rhythmic alternation between external and internal information sources. Organisms switch between decoding signals from environmental EMFs and processing data within their electrome. Thus, creating a dynamic feedback loop.
This rhythmic interplay enables a more nuanced adaptation process. Where internal genetic and bioelectrical information is continuously updated in response to external changes. Dual Supersession underscores the adaptability and interconnectedness of life within nested electromagnetic systems.
Dual Supersession is a dynamic mechanism where two complementary functions, such as electric signals and magnetic fields, alternately replace, inform, and evolve into one another within a feedback loop. This recursive process ensures that each function continuously adapts. Integrating and transforming information to maintain a coherent, evolving system in both cosmic and biological contexts.
Universal Interconnectivity
PET expands the scope of evolution by framing the universe as an electromagnetic feedback network. This network is scalable, operating across layers from galactic clusters to individual biofields. The interconnectedness extends to the transfer of information between cosmic and terrestrial scales. Here, organisms participate as nodes within this universal system.
PET’s holistic approach integrates biological, physical, and cosmological phenomena. Offering a unified model of adaptation and evolution. All the information to create a galaxy exists within the Universe’s EM. All the information to create a star exists within a galaxy’s EMF. All the information to create a planet exists within a star’s EMF. And all the information to create living organisms exists within a planet’s EMF.
Each layer increases in complexity as a result of interacting eternal and fractal information feedback loops.
Predictive Mechanisms
At the core of PET’s predictive adaptation is the role of DNA as a hexagonal antenna. This structure enables organisms to decode electromagnetic signals from their environment. Thus, linking information processing directly to adaptation. Unlike traditional models that rely on random mutations or gradual selection. PET suggests that organisms actively interpret and respond to environmental cues.
This predictive mechanism allows for rapid and targeted adaptations. Particularly in response to structured or cyclic environmental changes. As seen in empirical studies. The organism has access to the blueprints present in its environment’s information reservoirs to download and apply to procreate multiple variations. Each with a predicted adaptation, and its success is tied to the nature of the environmental shift.
Organisms produce variants after alternating between and combining environmental signals with stored genetic data. The present and the past. So they can predict the future. These variants differ based on predictions. Guesses that could be slightly off, or entirely wrong.
Nature will never put all of its eggs in one basket. It bets on every possible outcome.
A Sophisticated, Holistic, and Superior Framework
PET transcends traditional evolutionary models by integrating electromagnetism, plasma cosmology, and predictive adaptation. It is interdisciplinary. Weaving together biology, physics, and cosmology to present a more unified view of life as part of a universal information system.
Unlike other theories, PET embraces the fundamental forces of the universe. Electric, magnetic, and electromagnetic. As well as the universe’s nested and interconnected nature. It offers a richer understanding of how organisms adapt and evolve. If we see electricity as the godlike dual suppression of information and energy, then we have both the setting and the mechanism for the evolution of life in the universe.
In PET, evolution is no longer just survival of the fittest. It is the survival of those most attuned to the electromagnetic circuitry and resonances of the cosmos.
References:
Poli, R. (2010). The Many Aspects of Anticipation. Foresight, 12(3), 7-17. https://doi.org/10.1108/14636681011049839
Simons, A. M. (2011). Modes of Evolutionary Anticipation: Reactive vs. Predictive Adaptation. Trends in Ecology & Evolution, 26(11), 537-544. https://doi.org/10.1016/j.tree.2011.06.009
López García de Lomana, A., Kaur, A., Turkarslan, S., & Beer, K. D. (2021). Adaptive Prediction Emerges Over Short Evolutionary Time Scales. Nature Communications, 12(1), 4164. https://doi.org/10.1038/s41467-021-24477-4
Thornhill, W., & Talbott, D. (2007). The Electric Universe. Mikamar Publishing.
Alfvén, H. (1981). Cosmic Plasma. Springer.