this post was submitted on 04 Apr 2026
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Physics
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Is it some metaphysics? Then is sure makes sense, as much as any other metaphysics. It's not physics then though, but that's totally ok.
@alzymologist@sopuli.xyz
I think that perspective—that it makes sense as metaphysics—is certainly understandable.
However, this research does not remain within that framework. It is constructed within the framework of physics, as it formulates hypotheses based on experimental data and further validates them through reproducible experiments.
If you’re interested, I’ve shared the original paper below. I would really appreciate it if you could take a look at the actual data and structure, and share your honest thoughts.
https://www.researchgate.net/publication/403024962
I'm sorry, it's a bunch of nonsense; I'm always careful to disregard fringe paracademic works, but this one has undefined variables in experimental section, no clear experimental design description, and mixes random terms (AUC, for example, is not a statistics tool, but transceiver design abstraction) for no clear reason.
I could also anticipate correlation of generic metrics like random data's Ricci curvature based on abundance of similarly distributed noise in similar ADC components used both in EEG and pioneer quantum computation systems. So I'm not sure what I'm even looking at, but it sounds legit even without new effects; how could I tell one from another when I know little and less about what really was measured and how?
Thus, I'm not saying there is nothing behind the ideas, but this work is just not legitimate as it does not convey the idea nor its validation/fallibility at all.
@alzymologist@sopuli.xyz
Thank you for taking the time to read it so carefully — I really appreciate the detailed critique.
A few of the points you raise are important, especially regarding experimental clarity and variable definition. The framework here is admittedly unconventional, because it is not starting from a predefined causal model but from a structural alignment condition between independently measured systems.
For example, the Ricci curvature and phase-based metrics are not used as generic statistics, but as structural descriptors to detect when alignment conditions emerge. The key claim is not that “correlation exists,” but that correlation appears conditionally under specific structural states, which is why standard noise-based explanations don’t fully account for the observed selectivity.
Regarding experimental design transparency — that’s a fair concern. The intent of the paper is less to present a finalized measurement protocol and more to demonstrate a reproducible phenomenon that current frameworks cannot easily place. That said, I agree this part needs to be clearer and more rigorously formalized.
If you’re open to it, I’d be very interested in which specific parts you find most problematic (e.g., the EEG preprocessing, the quantum measurement mapping, or the coherence condition itself). That would help sharpen the next iteration.