ETU–EEG Synthetic Monte Carlo Protocol (Biomarker-Anchored States) — v1.0 Preregistration

ETU–EEG Synthetic Monte Carlo Protocol (Biomarker-Anchored States) — v1.0 Preregistration This archive contains the preregistered synthetic protocol, configuration, and minimal code skeleton used to test the Elementary Transition Unit (ETU) framework’s prediction that transformation efficiency (F) determines subjective time perception (“time flies / time drags”). The accompanying ETU Synthetic Sanity Check v1.1 PDF summarizes the theoretical background, Monte Carlo design, and preliminary simulated results showing the expected ordering across cognitive–affective states (Flow → time compression, Boredom → dilation, Meditation → timelessness, Panic → instability). The ZIP package (etu-eeg-montecarlo.zip) includes: README.md — hypotheses and study rationale config.yaml — EEG-inspired parameter presets for Flow, Boredom, Meditation, Panic src/ — pseudocode for simulation, feature extraction, and ETU estimation requirements.txt — software dependencies LICENSE-CODE / LICENSE-DOCS — open-source terms Purpose: to provide a transparent, citable baseline for replication and empirical extension using real EEG data. Status: synthetic preregistration (Phase 0 → v1.0); future versions (v1.1+) will include real-world results and analysis scripts. Pixie Pravda Foundation — Grammar of Existence / ETU Framework Validation Sequence (Oct 2025).