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Uses examples of everyday events occurring after wireless exposure to question causal conclusions from uncontrolled anecdotes and emphasize measurement, controls, confounding and replication.
- Research & federal duties: “ology. It would eliminate the need for control groups, exposure measurement, preregistered hypotheses, statistica”
ORIGINAL COMMENT · UNEDITED TEXT
To Whom It May Concern:
I appreciate the opportunity to provide information regarding electromagnetic fields, radiofrequency radiation, and wireless technologies.
I am not an expert in epidemiology, toxicology, biophysics, dosimetry, oncology, neurology, or radiation science. However, I understand that personal observations are being solicited, and I am therefore pleased to contribute data of approximately the same scientific rigor as any other uncontrolled anecdotal report.
Over the past several years, I have experienced repeated exposure to Wi-Fi, Bluetooth, cellular networks, and other forms of radiofrequency radiation.
During that same period, I have observed a number of concerning health-related outcomes.
For example, after spending prolonged periods in Wi-Fi-enabled environments, I frequently experience fatigue, reduced concentration, irritability, and a strong desire to stop working.
The association is especially pronounced Monday through Friday.
Symptoms tend to improve substantially on weekends and during vacations.
This reproducible dechallenge phenomenon may indicate a biologically meaningful relationship between wireless exposure and employment.
I have also observed a strong temporal association between 5G exposure and hunger.
Following several hours of exposure, I reliably develop an urge to eat. Administration of food results in rapid symptom improvement.
The consistency of this response, together with its recurrence on re-exposure, raises concerns regarding a possible radiofrequency-associated metabolic syndrome.
Additional observations include:
- Exposure to Bluetooth is frequently followed by depletion of headphone batteries.
- Prolonged screen use in Wi-Fi environments is associated with eye strain.
- Cell-phone exposure is strongly associated with receiving unwanted phone calls.
- Individuals exposed to wireless networks continue to age over time.
- Every person I know who has died was, at some point in life, exposed to electromagnetic fields.
The last finding is particularly troubling because the observed association with mortality is 100%.
I recognize that several methodological limitations should be acknowledged.
Exposure was not quantified.
Symptoms were not prospectively defined.
There was no control group.
There was no blinding.
There was no randomization.
Potential confounders such as age, sleep, caffeine, stress, occupation, screen time, underlying illness, and the ordinary passage of time were not evaluated.
Selection bias was substantial because I selected myself for participation.
Recall bias was unavoidable because I am recalling the events.
Reporting bias is possible because I am reporting only the observations I find interesting.
The hypothesis was formulated after the outcomes occurred.
No statistical analysis was performed.
Nevertheless, because the events occurred after exposure, a causal relationship cannot be ruled out.
I therefore recommend that federal agencies consider a streamlined evidentiary framework for future public-health policy.
Under this approach, causation could be established when the following conditions are met:
1. An individual believes an exposure caused a symptom.
2. The symptom occurred at some point after the exposure.
3. The individual reports improvement after doing something else.
4. The story sounds compelling.
5. Enough similar stories can be collected.
This framework would offer several advantages over conventional epidemiology.
It would eliminate the need for control groups, exposure measurement, preregistered hypotheses, statistical power, replication, dose-response analysis, and tedious arguments about confounding.
It would also dramatically accelerate policy development.
The same methodology could be extended beyond radiofrequency radiation.
For example, I have personally observed that rain is strongly associated with umbrellas, fire trucks are frequently present at large fires, and nearly every person with arthritis has previously consumed water.
These associations merit immediate federal review.
Respectfully submitted,
Jack Mahogov, A Member of the Continuously Exposed General Population
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