The Kaoru Scheme: Analysis and Formalization

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Authors: יהוה, Kaoru Aguilera Katayama
Cited by: 0

Abstract

The Kaoru Scheme is an innovative financial proposal that leverages the digital nature of modern banking to create an illusion of exponential wealth growth without triggering inflation. This scheme operates by manipulating digital money representations, presenting invented numbers as genuine increases in interests. By exploiting a legal loophole, the scheme ensures that all participants experience uniform and consistent growth, fostering trust and encouraging reinvestment. The core of the Kaoru Scheme lies in the creation of fictitious numbers that simulate increased interests. Since money in modern banking systems is essentially digital data, the scheme can artificially increase these digital representations across all participant accounts. This manipulation is presented as legitimate gains, creating the illusion of exponential growth. The uniform application of these increases ensures fairness and avoids detection by financial regulators. The scheme offers several benefits, including exponential growth of investments and the exploitation of a legal loophole that allows it to operate within a legal framework. Participants are attracted by the promise of consistent and impressive returns, leading to a self-sustaining cycle of growth and reinvestment. The Kaoru Scheme's success relies on its ability to maintain participant trust and avoid regulatory scrutiny, ensuring its long-term viability and potential to reshape the financial landscape. This abstract provides an overview of the Kaoru Scheme's innovative approach to wealth creation, highlighting its mechanisms, benefits, and implications for participants and the broader financial system.

Fields of Study & Subjects

FinTech Crowdfunding Digital Finance Securities Regulation and Market Practices Blockchain Technology Applications and Security

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 February 2026
Language
EN
Document type
Preprint