Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2026
License: CC BY NC ND
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY NC ND
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY NC ND
Data sources: Datacite
versions View all 2 versions
addClaim

De Giuseppe Paradox 27/28 : Causal Emergence and Reality Shaping

Authors: De Giuseppe, Alex;

De Giuseppe Paradox 27/28 : Causal Emergence and Reality Shaping

Abstract

Large Causal Emergence: How Minds Converge and Reality Responds Have you ever wondered why, in recent days, multiple researchers and thinkers independently arrive at the exact same theory or insight, seemingly simultaneously? (Me too) This is not mere coincidence, nor a reflection of individual genius. Rather, it is the manifestation of a deep, mathematically structured phenomenon we call Causal Emergence. Causal emergence occurs when distributed informational and energetic structures—brains, devices, currents, or coupled systems—align probabilistically across a shared temporal and structural substrate. This alignment generates synchronous insights, allowing multiple agents to converge on identical conclusions almost simultaneously. Remarkably, this phenomenon is not only observable but also \textbf{formally describable and controllable}. By modeling the underlying structure using the function \(f(\theta)\), we can map the probability of event emergence in real time. Here, \(\theta\) represents the configuration of key informational channels, and \(f(\theta)\) outputs the likelihood of an insight, event, or phenomenon occurring. Even more strikingly, this formalism provides the first mathematical foundation for \emph{modulating the probabilities of events}—what we refer to as "shaping reality." By carefully adjusting the configuration \(\theta\) of influential channels, it becomes theoretically possible to bias outcomes within the bounds of causal physical law, effectively guiding the emergence of reality itself without violating physics. In this framework, synchronous insights and controlled emergence are two sides of the same coin: one is the natural alignment of minds, the other is a path to understanding how reality itself can respond to structured informational inputs. The following sections formalize these concepts, provide rigorous definitions, and introduce experimental protocols to observe and quantify causal emergence and reality modulation. This manuscript is currently under Official Peer Review.Not final version.Copyright©2026 Alex De Giuseppe.All rights reserved. This work is protected by copyright. Any form of plagiarism, unauthorized reproduction, or misappropriation of ideas, mathematically results, or text without proper citation constitutes a violation of academic and intellectual property standards and common laws. No commercial use, adaptation, or derivative works are permitted without explicit written permission from the author. For correspondence, citations, collaboration inquiries, or feedback please contact:degiuseppealex@gmail.com Original and Official DOI First Pubblication 20/12/25 De Giuseppe Paradox 1.0 and 2.0 is : https://doi.org/10.5281/zenodo.18004379 https://doi.org/10.5281/zenodo.18005800 Here are the links to articles on new rigorous mathematically formalization of Consciousness, Paranormal phenomena, and the official definition of Artificial Consciousness for First time in History, and the original De Giuseppe Paradox: Time Electric Theory (included Macroscopic Retrocausality ) https://zenodo.org/records/18277631 https://zenodo.org/records/18278648 https://zenodo.org/records/18274505

Keywords

General Relativity, Special relativity, Energy, QED, Light, Entropy, Field, Speed, Consciouness, Mass, Time travel, Charge, Time, Causality, QFT, Particles, Electromagnetism, Electricity, Retrocausality, Quantum Mechanics

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average