Quantum Insurance Fraud: Exploiting Computational Irreducibility to Influence Future Actuarial Simulations

A Speculative Thought Experiment in Decision Theory, Simulation Arguments, and Actuarial Leverage

May 2026 | For Intellectual Exploration Only

IMPORTANT DISCLAIMER: This document is a purely speculative philosophical and decision-theoretic thought experiment. It does not describe, recommend, or provide instructions for committing insurance fraud or any illegal activity. Real-world insurance fraud is a serious crime with severe legal consequences. No part of this paper should be interpreted as actionable advice.

Abstract

This paper examines a hypothetical strategy in which an agent purchases a maximally expensive life insurance policy while simultaneously adopting protocols designed to increase computational irreducibility in their cognitive and behavioral processes (e.g., Rule 30 cellular automaton-modulated binaural entrainment). The proposed mechanism aims to raise the simulation cost for future AI actuarial systems, thereby creating logical or acausal pressure that favors the agent's continued existence or favorable payout outcomes. We analyze the proposal through the lenses of Wolfram's computational irreducibility, functional decision theory, and Bostrom-style simulation arguments.

Contents

  • The full paper is available as the attached PDF: quantum_insurance_fraud_thought_experiment.pdf

Keywords

computational irreducibility, simulation hypothesis, functional decision theory, actuarial AI, Rule 30, binaural entrainment, counterfactual mugging, acausal trade, quantum immortality (analog), thought experiment

Related

This is one of a series of one-shot AI-generated speculative papers exploring decision theory, retrocausality, and high-leverage strategies at the edge of rationality and singularity scenarios.


Uploaded to Hugging Face as a community paper / artifact for discussion. Repo: https://huggingface.co/bsoeeee/quantum-insurance-fraud-thought-experiment

Last uploaded/verified: Wed Jun 3 17:42:57 UTC 2026

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