Information Transfer During Controlled Plasma Decay: An Experimental Measurement Framework and Falsifiable Hypothesis.

This paper establishes a rigorous, falsifiable experimental framework to investigate whether controlled plasma decay produces measurable information-bearing phenomena that cannot be accounted for by conventional magnetohydrodynamic (MHD) behavior, environmental coupling, instrumentation artifacts, or statistical coincidence. We present an advanced measurement architecture designed to isolate extremely weak, anomalous signals from complex, high-noise backgrounds. To quantify directional information flow between the collapsing plasma state and external measurement channels, we implement a non-parametric Transfer Entropy estimator utilizing Kraskov-Stögbauer-Grassberger (KSG) algorithms, coupled with rigorous surrogate data validation via Amplitude Adjusted Fourier Transform (AAFT) methods. Furthermore, we define an explicit source process reduction pipeline, precise geometric scaling variations, quantitative power constraints, an exhaustive elimination matrix, hardware-level clock synchronization protocols, and a strict cryptographic blinding pipeline to systematically separate physical phenomena from instrumental or statistical confounds.