I've been meditating with consumer EEG headbands for years and started writing code to analyze my own data. I found something I wasn't expecting.

Earth's Schumann Resonance oscillates at ~7.8 Hz with harmonics at roughly 14, 20, 26, and 32 Hz. These overlap with canonical EEG frequency bands. That overlap was noted before but generally treated as coincidence.

In 2010, Pletzer, Kerschbaum, and Klimesch at Universität Salzburg proposed that EEG bands follow golden ratio organization, but the idea got little empirical follow-up.

My analysis suggests they were right. Brain oscillation peaks can align with golden ratio (φ = 1.618) precision, anchored within range of the ~7.8 Hz fundamental. Tested across 1M+ spectral peaks from independent datasets. Less than 2% error. (and yes, I would be very skeptical too :)

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Here's the research:

Golden Ratio Architecture of Human Neural Oscillations (preprint) https://doi.org/10.5281/zenodo.18244908

When frequencies never synchronize: the golden mean and the resting EEG (Pletzer et al. 2010) https://doi.org/10.1016/j.brainres.2010.03.074

Research code: https://github.com/neurokinetikz/schumann

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And I built an app to detect these alignment states in real time.

HOW IT WORKS:

The app analyzes the raw EEG signal to separate real oscillatory peaks from background noise, then scores how precisely those peaks match predicted golden ratio frequency positions across three bands at Earth-resonant frequencies. It also measures how synchronized different brain regions are using cross-channel metrics.

When all measures pass threshold simultaneously and hold for a minimum duration, it flags an ignition and plays an audio tone. Sessions are logged with per-event timing, strength, and duration. Progress tracked across sessions.

Everything runs client-side in the browser. No backend signal processing.

Supported Devices: Muse 2, Muse S, BrainBit, Emotiv Insight/MN8

Demo mode works without hardware. If you have a Muse or BrainBit, pair directly from the browser. No signup, no install.

Would love your feedback, thanks!!

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