Quantitative Shifts in the Second Harmonic (12-14 Hz) of the Schumann Resonance Are Commensurate with Estimations of the Sleeping Population: Implications of a Causal Relationship
Bibliographic record
Abstract
Recent spectral power densities of quantitative electroencephalographic measurements of normal brains indicate they reveal peaks that correspond with the fundamental and harmonics of the Schumann Resonance. Coherence between the human brain and Schumann power occurs for about 300 ms every 30 s. We examined the conspicuous diurnal complex variation in Schumann values and the estimated numbers of people asleep at the time globally. The overlap was visibly obvious for the 12-14 Hz (second harmonic), which is the Stage 2 sleep spindle range, with peak-to-peak changes of ~0.1 Hz and 0.1 pT. Residuals from multiple regression analyses after potential artifacts were removed showed that as the estimated numbers of people sleeping increased the frequency increment within the 12-14 Hz range increased while the intensity decreased by about 1 pT. The Lorentz Lemma for population brain-Schumann activity and comparable current densities for the ionosphere-earth gradient and human brain current densities are similar magnitudes and suggest potential interactions. Experimental manipulation by HAARP of the Schumann Resonance employed a power density (10 mW per m2 range) that is comparable to that from the photon power densities emitted from the brain activities of billions of people. Although causality is not demonstrated, the presence of a strong coherence could suggest interactions at global levels.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".