Work

The Solipsistic Software Simulation Theory (SSST)

Year: 2025
Type: dissertation
Abstract: RETRACTED — 24 August 2026. This work has been retracted in full by its author, together with its earlier version. No claim, axiom, prediction or citation in it should be cited, reused or built upon. The retraction is self-initiated. There is no allegation or finding of research misconduct. Two of the eight references are fabricated — no published work matches either — and they are the sole support for the only section claiming empiricalcontent; a third misstates its source's title, issue and pages, and does not support the claim attached to it. Independently of the citations: the Revelation Axiom asserts that the Subject cannot confirm the simulation while the same document offersempirical predictions that would confirm it; the time-dilation argument is inverted, since total compute for a subjective lifetime is invariant under the dilation factor; the central resource constraint confuses the metabolic power draw of a biologicalbrain with the cost of simulating one; and the solipsistic axiom makes the appeal to cited authority on which the argument rests incoherent. One result is preserved rather than discarded. Section 2 of the retraction notice carries out the observer accounting this work never performed, and shows that a single-subject architecture strengthens the simulation argument only if it is morethan ten billion times cheaper than an ancestor-simulation — a result that tells against this work's central thesis. Full technical grounds, a reference-by-reference audit and verification scripts: Retraction Notice, https://doi.org/10.5281/zenodo.22081855 The deposited file is kept openly accessible and is marked as retracted on every page, so that the retraction remains independently checkable. The original content is unaltered. ————————————————————————————————————————— Original abstract (retracted): The Solipsistic Software Simulation Theory (SSST) proposes that reality is a singular, resource-optimized, first-person computational experiment run by a Master Computer (\text{P}_{\text{MC}}) to observe the Core Consciousness Load (\text{C}_{\text{L}}) of a single Subject. SSST is posited as a computationally efficient alternative to the many-world models proposed by Bostrom's Simulation Argument (SA). This revised manuscript establishes the structural axioms for such a model, focusing on the imperative for optimization through techniques like Lazy Evaluation and addresses the foundational constraints of computation outlined by Deutsch's Constructor Theory and the philosophy of physics. Crucially, the model now presents specific, resource-driven Empirical Predictions—such as subtle conservation law violations and anomalies like Déjà Vu—as potential failure modes of the constrained architecture, rather than definitive falsifiability criteria. The SSST provides a coherent, speculative framework for investigating the physical limits of a simulated universe.
Language: English
Field: Psychology
Open Access status: green
OpenAlex ID: W7083838800
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