Associated Preprints: CEC (Convergent-Explosive Communication) Theory, DOI: 10.5281/zenodo.18721306 Prediction-Regulation Dual-Drive Game Theory (Positive Game Theory), DOI: 10.5281/zenodo.18339379 Prediction-Regulation Dual-Drive Game Theory (Reverse Game Theory), DOI: 10.5281/zenodo.18339072 Proof of Positive-Reverse Game Theory-Man-Machine Game-Human Victory Theory, DOI: 10.5281/zenodo.18339379 Associated Working Papers: Practical Guide to the Core Formula of CEC Theory, DOI: 10.5281/zenodo.19021233 Abstract As the underlying theoretical support of CEC (Convergent-Explosive Communication) Theory, the Prediction-Regulation Dual-Drive Game Theory features the dual core attributes of positive communication prediction and reverse element regulation, complementing each other like two sides of a coin, which determines the natural two-way applicability of the core formula of CEC Theory. Based on the reverse regulation perspective, combined with the theoretical framework of the main preprint and the positive practical system of the first working paper, this paper decomposes the reverse derivation logic, variable regulation paths and practical implementation standards of the core quantitative formula of CEC Theory, and builds a complete scheme for achievement optimization and communication regulation. The study clarifies the reverse optimization details of the four core variables: achievement trait adaptability α, audience resonance coefficient ε, platform basic reach probability β, and effective communication base N, demonstrates the whole-process regulation practice with empirical cases, and sorts out core precautions and common misunderstandings, helping practitioners in scientific research, technological innovation and other fields accurately polish the core of nuclear-grade achievements, optimize communication strategies, and actively improve the probability of communication detonation. This paper not only fills the practical gap of high-value achievements "from passive prediction to active regulation", but also deepens the cross-field practicability of the Prediction-Regulation Dual-Drive Game Theory, upgrades CEC Theory from a single communication research tool to a dual-effect quantitative system integrating achievement creation and communication empowerment, and provides reproducible and implementable guidance for the precise breakthrough of high-value achievements. Update 1: From Forward Practice to Reverse Regulation —— The Instinctive Extension of the CEC Theory Closed Loop (Beijing Time 01:55, March 15, 2026) To all readers walking alongside me: The moment I finished the first working paper Practical Guide to the Core Formula (doi: 10.5281/zenodo.19021233) of CEC (Convergent-Explosive Communication) Theory, I knew the birth of the next working paper was almost inevitable —— having mastered the Positive-Negative Game Theory, the two-way thinking of "forward practice → reverse regulation" has long become my instinct. If the main preprint CEC Theory lays the "Tao" (the fundamental logic), and the first working paper conveys the "Skill" (the operational methods), then this second working paper adds a layer of "Tool" (the feedback and iteration) upon the "Tao" and "Skill": The first working paper addresses how to use CEC Theory to positively judge, analyze, and predict real communication, acting as the "hand of implementation" that bridges theory to practice; This second working paper, after proficient use of forward tools, instinctively reverses its perspective to address how to optimize achievements and improve communication detonation probability by regulating core variables reversely, serving as the "eye of iteration" that elevates practice back to theory. It is not a new theory born out of thin air, but a natural extension of the CEC Theory system and the Positive-Negative Game Theory mindset: When I deconstructed the forward process of "qualitative first, quantitative second, dynamic calibration" in the first paper, I was already thinking: if the target detonation probability P is known, can we reversely derive the α, ε, N, and β that need optimization? When I completed the forward calculation using the measured data at 21:10 on March 14, 2026, I also formed the prototype of reverse deduction simultaneously —— since we can calculate "current detonation potential" from "achievement status quo", we can naturally reverse "the direction of achievement optimization" from "target detonation potential"; Moreover, the underlying logic of the Positive-Negative Game Theory makes this reverse thinking instinctive: the forward direction is the judgment of "status quo → outcome", while the reverse direction is the regulation of "goal → path"; the two are inherently two sides of the same coin. For the entire CEC Theory system, the value of this second working paper lies in completing a critical closed-loop reinforcement: It forms a triple linkage with the main preprint and the first working paper: the main preprint lays the foundation, the first paper implements forward practice, and the second paper carries out reverse regulation. The three are bidirectionally linked via DOIs, jointly forming a complete academic closed loop of "theory → practice → regulation → iteration"; It is itself a vivid practice of the Positive-Negative Game Theory: nourishing reverse regulation methods with forward practical experience, and feeding back the precision of forward judgment with reverse regulation conclusions, allowing the entire theoretical system to continuously evolve in the cycle of "positive → negative → synthesis". For the entire CEC Theory system, the value of this second working paper lies in completing a critical closed-loop reinforcement: As I said before, we are not just reading theory —— we are co-building it. If the first working paper was the "practical tool kit" I handed out, then this second one is the "regulatory steering wheel" I offer for this "largest open social experiment of humanity" —— enabling every participant to not only understand and analyze communication, but also to actively optimize and regulate it, becoming a more proactive and powerful part of CEC Theory. In the future, I will continue to dynamically calibrate the coefficient intervals and scenario thresholds of reverse regulation using communication data of nuclear-grade achievements from various fields worldwide, ensuring that the forward and reverse tool sets remain synchronized and iterative. Every piece of data and every question you accumulate in forward practice and reverse regulation will continue to be the most solid nourishment for this theory —— after all, a truly vital theory is one that can be used by everyone and continuously strengthened by everyone. Now, why not click on this new working paper and try using the reverse regulation mindset to optimize your own achievements toward convergent-explosive communication? I believe you must be excited —— this means you can personally create and actively regulate your own papers, moving them closer to top-tier achievements. Isn't that breathtaking?
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