This study establishes a chance-performance baseline for the Juke-Mand Anti-Signal Protocol, which tests whether volitional intent or emotional states can influence quantum random number generator (QRNG) outcomes. The baseline will also be robust enough to serve as a control for testing volitional quantum intent decoherence effects, which involve participants attempting to mentally influence the collapse of a quantum wave function to produce specific numbers within the 0-255 range of the uint8 output.
This study establishes a chance-performance baseline for the Juke-Mand Anti-Signal Protocol, which tests whether volitional intent or emotional states can influence quantum random number generator (QRNG) outcomes. The baseline will also be robust enough to serve as a control for testing volitional quantum intent decoherence effects, which involve participants attempting to mentally influence the collapse of a quantum wave function to produce specific numbers within the 0-255 range of the uint8 output.
This study tests whether conscious intent can influence quantum random number generation through an avoidance-based protocol. Participants select a "charge" number to protect and a "juke" number as a decoy, then attempt to avoid QRNG matches to their charge while potentially drawing matches to their juke. This paradigm addresses replication challenges in consciousness research by making the target behavior (avoidance) more intuitive and measurable than traditional manifestation protocols.
Protocol TEC‑89 implements the unified metrological framework of Protocol 9.0 to test the claimed phenomenon of intention influence on quantum random number generators (QRNG) – the alleged ability of a person (the "intender") to bias the output of a true hardware‑based quantum random number generator (e.g., ID Quantique Quantis, ANU Quantum Numbers, or equivalent) through intention alone, without physical contact. The primary observable is the deviation of the QRNG bit distribution (mean z‑score) from the expected chance level (50/50) during active intention periods, compared to control periods (no intention, sham intention, or trap conditions). The experimental design includes a certified hardware QRNG (Quantis‑v10.10.08 or equivalent) with direct USB connection (no buffer), real‑time visual/audio feedback for the intender (to enhance engagement), continuous logging of all bits with time stamps, triple blinding (intender, experimenter, and analyst are blind to condition), trap conditions (the intender is told to "influence" but the QRNG is replaced by a deterministic pseudo‑RNG), sham conditions (the intender is told to "influence" but is actually resting), catch conditions (a known bias is introduced into the QRNG output to validate the measurement system's sensitivity), positive controls (known effects, e.g., varying the number of bits per trial, to calibrate the system), physiological monitoring (skin conductance, heart rate variability, EEG alpha/theta power) to correlate with intention states, comprehensive environmental monitoring (temperature, humidity, electromagnetic fields), and automated data logging. The protocol mandates a pilot phase to calibrate the QRNG, establish the baseline noise floor, and validate the blinding procedure. The primary analysis uses a Linear Mixed Model (LMM) or a Binomial GLM comparing the z‑score (or proportion of 1s) between active and control conditions, with α = 0.025 (two‑tailed) and power ≥ 0.90 for a small effect (Cohen's d ≥ 0.05). The sample size is N = 10,000 bits per block (baseline, with adaptive increase to N = 100,000 bits if pilot shows high variability). Statistical analyses are preregistered, include Bayesian inference (BF₁₀), permutation tests, and multiverse robustness checks (≥70% of 12 forks). The aim is to detect a reproducible intention‑induced QRNG bias or to establish an upper bound on the effect size with unprecedented rigor.
This study tests whether modulated internal states (e.g., meditation, ritual, REM sleep, emotional arousal) produce measurable ordering effects on quantum randomness, as inferred from deviations in raw QRNG output. Using CryptaLabs USB and PCIe devices, the project investigates “coherence” and “ripple effects” under blinded, timestamped, and environmentally controlled conditions. Data, methods, and analysis code will be published openly upon completion. This is an exploratory hypothesis-driven study that refines and tests specific modulation conditions using rigorous protocols.
Background: Quantum mechanics describes the behavior of matter and light at the atomic and subatomic levels.In quantum mechanics, a key principle is that quantum objects can exhibit both wave-like and particle-like behavior.This is called "wave-particle duality" (Squires, 1999).Moreover, quantum mechanics presents us with a mixture of possibilities, where the particles exist in a state of superposition until an observation occurs.When we measure, the wave function collapses into a single outcome.To address this, it's imperative to understand what exactly constitutes an observation in quantum mechanics and its role in wave function collapse.Objectives: This study explores the concept of measurement from both a physical and philosophical perspective, examining different interpretations of consciousness and how observation influences the outcomes of quantum experiments.More specifically, it focuses on how mental states, such as expectation or previous knowledge could impact wave function collapse.Complementing the existing body of research, this review expands to explore several critical questions surrounding the nature of observation in quantum mechanics. Methods:The study conducted a literature review to establish the theoretical background and relevance.Forty-five participants (ages 13+) were randomly assigned to one of three groups: Expectation/Attention, Neutral Observation, or Automated Control.Each group observed 100 random binary outcomes generated using Random.org,with the Expectation group instructed to mentally focus on increasing the number of 1s.The experiment was conducted using PsychoPy, with all outcomes and timing automatically logged.A statistical analysis using ANOVA and post-hoc tests revealed significant group differences, particularly between the Neutral group and the others.Results: Expected Group (primed with prior knowledge) yielded the highest median (63), suggesting expectation may amplify observed values.The Neutral Group (baseline awareness) recorded the lowest results (median=57).The Control Group (standard observation) occupied an intermediate range.Neutral < Control < Expected in median values.The expected group shows 2× the IQR of Control/Neutral, indicating higher variability.No outliers detected in any group using the 1.5×IQR rule.These patterns tentatively support the proposed link between conscious states (e.g., expectation/knowledge) and quantum phenomena.To validate the differences across the control, expected, and neutral groups, a one-way ANOVA test was taken, which revealed a statistically significant difference in the counts of ones between the groups (p = 0.000014).Post-hoc analysis using Tukey's HSD indicated that the neutral group significantly differed from both the control and expected groups, while the control and expected groups did not significantly differ from each other.Additionally, the effect size (η² = 0.64), indicates a large and meaningful difference between the groups.Conclusions: This study provides preliminary evidence that conscious mental states, particularly expectation, may measurably influence quantum measurement outcomes.The observed positional trends and increased variability in the Expected group suggest that the observer's mindset is not merely a passive condition but may actively modulate the measurement process.While the findings align with and expand upon previous research linking consciousness to quantum phenomena, they also introduce new considerations regarding variability and individual cognitive influence.Nonetheless, this work offers a meaningful step toward understanding the complex relationship between consciousness and the physical world and underscores the need for continued interdisciplinary research to further explore this potential connection.
Topicality. Reliable random number generation is one of the key requirements for modern cryptographic systems and cybersecurity applications. Traditional pseudo-random number generators are based on deterministic algorithms and may exhibit limited entropy and predictability, which can negatively affect information security. The subject of study in the article is methods of quantum random number generation and approaches to evaluating the quality of generated random sequences. The purpose of the article is to analyze modern methods of quantum random number generation, develop a software tool for obtaining quantum random numbers based on the ANU Quantum Random Number Generator service, perform statistical testing of the generated sequences, and analyze the obtained results. The following results were obtained. Modern quantum random number generation systems were analyzed and compared. A software tool was implemented in Python for automatic retrieval of quantum random numbers through the ANU QRNG API. The generated binary sequences were evaluated using Frequency Test and Block Frequency Test from the NIST SP 800-22 statistical test suite. The obtained p-values were 0.977181 and 0.200659 respectively, confirming successful completion of both tests. Additionally, visual analysis of the generated sequences revealed no noticeable patterns or repetitive structures. Conclusion. The obtained results confirm the high quality of quantum random sequences generated using ANU QRNG and demonstrate the applicability of the developed software tool for cryptographic and cybersecurity applications requiring high-quality randomness.