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Rhythms

Bioeffects Seen

Frank A. Brown, Jr. · 1972

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Biological clocks rely on natural Earth electromagnetic fields, suggesting modern EMF pollution disrupts millions of years of evolutionary adaptation.

Plain English Summary

Summary written for general audiences

This 1972 review by biologist Frank Brown examined how organisms' internal biological clocks interact with subtle environmental electromagnetic fields from the Earth itself. Brown proposed that natural geophysical rhythms, including the Earth's magnetic field variations, help synchronize biological processes in living things. The research suggested that organisms are far more sensitive to environmental electromagnetic influences than previously understood.

Why This Matters

Frank Brown's groundbreaking work in 1972 was decades ahead of its time, revealing that life on Earth evolved in constant interaction with natural electromagnetic fields. What this means for you today is profound: if organisms are naturally attuned to the Earth's subtle electromagnetic rhythms, then the artificial EMF pollution we've created in just the past few decades represents an unprecedented biological disruption. Brown's research helps explain why so many people report feeling better when they escape to nature, away from WiFi, cell towers, and electrical infrastructure. The science demonstrates that our bodies expect and respond to natural electromagnetic patterns that have existed for millions of years. The reality is that modern technology has fundamentally altered this ancient relationship, potentially disrupting the very biological rhythms that keep us healthy and synchronized with our environment.

Finding

The new hypothesis encompasses all the clock-timed rhythms—i.e. those that display the unique property of a high degree of period stability, including complete or nearly complete temperature-independence of their periods. It includes all the reported periods, ranging from solar-day, through tidal and monthly, to annual ones. The rhythmic patterns are postulated to comprise genetically and environmentally determined behavioral sequences that have evolved to fit within the natural geophysical periods. Furthermore, these sequences are proposed to depend upon the subtle rhythmic geophysical variations both during their individual development and their on-going precise timing.

In their words

The new hypothesis encompasses all the clock-timed rhythms—i.e. those that display the unique property of a high degree of period stability, including complete or nearly complete temperature-independence of their periods. It includes all the reported periods, ranging from solar-day, through tidal and monthly, to annual ones. The rhythmic patterns are postulated to comprise genetically and environmentally determined behavioral sequences that have evolved to fit within the natural geophysical periods. Furthermore, these sequences are proposed to depend upon the subtle rhythmic geophysical variations both during their individual development and their on-going precise timing.

Figures from the Original Paper

Diagrams extracted from the original research document.

graphPage 2 - AI-described figure: Figure 1. The times of locomotory activity of a generalized nocturnal mammal during a 30-day sojourn in a 24-hour light-dark regime (days A to B) and during a continuous period in unvarying illumination (days B to C). Shaded areas indicate time of darkness. Horizontal lines show times of activity.
graphPage 3 - AI-described figure: Figure 3. Horizontal lines indicate the times of darkness in a fiddler crab's skin over a 24-hour cycle.
diagramPage 4 - AI-described figure: Figure 5 illustrates the relationship between an organism's activity rhythm and its phase-response curve in response to light-dark cycles.
graphPage 5 - Figure 7 illustrates the expected phase-shifting behavior of a nocturnal organism in constant light, showing repeated daily phase shifts or autophasing.
graphPage 6 - AI-described figure: Figure 8. The relationship between measured phase responses over activity onsets and free-running period in a population of kangaroo rats.
graphPage 8 - Figure 9. The variation with phase of the moon in the strength of negative phototaxis of planarian worms.

Exposure Information

Specific exposure levels were not quantified in this study.

Cite This Study
Frank A. Brown, Jr. (1972). Rhythms.
Show BibTeX
@article{rhythms_g4544,
  author = {Frank A. Brown and Jr.},
  title = {Rhythms},
  year = {1972},
  
  
}
No DOI on file for this study.

Quick Questions About This Study

Brown's research showed that organisms continuously interact with the Earth's subtle geophysical electromagnetic environment to maintain their internal timing systems. These natural fields help synchronize biological processes like sleep-wake cycles, hormone production, and cellular repair mechanisms that evolved over millions of years.
Natural geophysical fields are extremely weak, stable, and follow predictable patterns that life evolved with over millions of years. Artificial EMF from technology is thousands of times stronger, highly variable, and pulsed in ways that never existed in nature, potentially disrupting the subtle biological clock mechanisms Brown identified.
Yes, by showing that organisms are exquisitely sensitive to subtle electromagnetic environmental changes, Brown's work laid the scientific foundation for understanding how artificial EMF pollution could disrupt biological systems. His research suggested that even small electromagnetic changes could have significant biological effects.
Biological rhythms control essential functions like sleep, hormone production, immune response, and cellular repair. When these rhythms are disrupted by artificial EMF interfering with natural geophysical signals, it can lead to sleep disorders, hormonal imbalances, and reduced immune function.
Cell phones, WiFi, and electrical devices create artificial electromagnetic fields that can mask or interfere with the subtle natural signals that Brown showed organisms use for biological timing. This electromagnetic pollution essentially creates 'noise' that drowns out the natural rhythms our bodies expect.