An easily recognisable pattern of disease is described which demonstrates regional and seasonal clusters, and characteristic effects on migrant communities. Influenza, neural tube defects and autism are shown to adhere to the pattern. A hypothesis is given that such phenomena are ultimately driven by variations in the Earth’s electromagnetic field.
The pattern
The pattern is recognised by the presence of some or all of the following characteristics:
- Disease outbreaks are seasonal
- Outbreaks are geographically restricted
- The season is slightly different for each region and varies slightly from year to year for any specific region
- Correlations can be made between the onset of outbreaks and specific weather conditions
- Migrant communities are disproportionately affected by the disease
- The cause of the disease is not satisfactorily explained by mainstream science
- The diseases thereby caused are regulatory or developmental in nature
In the case of developmental problems, there is a correlation between birth date and disease likelihood and in the case of regulatory problems, the correlation is between the onset of disease and seasonal weather patterns.
A hypothesis
The regulatory processes in the body are electromagnetic in nature and are disrupted by local variations in the Earth’s electromagnetic field whose immediate cause is some specific transient weather phenomenon but whose general pattern is driven by seasonal and geographical variations of the field: A nested electromagnetic toroid structure for the organisation of biological systems
A population can adapt to cope with such disturbances and this is mistaken for ‘viral immunity’.
Migrant populations have not yet adapted to local conditions and will initially suffer disproportionately from such disturbances, but will show improvement over successive generations.
Evidence and examples
Influenza
Influenza is a regulatory problem which demonstrates clear seasonal and geographic correlations. The epidemiology of influenza is not explained by viral transmission.
Outbreaks of the disease are concentrated in specific geographical areas and such areas are organised along lines of latitude, with the disease in the northern hemisphere starting in autumn at the tropics and subsequently moving north towards the pole.
Outbreaks coincide with specific changes in weather conditions: Influenza is a regulatory disorder caused by changes in the weather
Many studies describe minority communities in the UK as having an increased risk of covid (influenza), suffering more severe symptoms, and having an increased likelihood of death from the disease.
First-generation immigrants are statistically more likely to contract COVID-19, and public health data historically indicates they also face a disproportionate risk for influenza compared to native-born populations. [link]
Schizophrenia
Research shows a small but statistically significant link between a person’s season or month of birth and their risk of developing schizophrenia:
Systematic review and meta-analysis: Season of birth and schizophrenia risk – Coury et al. [link]
Analysis using birth month data demonstrated a clear seasonal trend towards increased risk of schizophrenia being associated with winter birth months and decreased risk of schizophrenia in summer-to-fall months in the Northern but not Southern Hemisphere.
Moreover, the incidence of schizophrenia is higher amongst first generation migrants than the indigenous population and is dependent upon geographical area.
Incidence of psychotic disorders among first-generation immigrants and refugees in Ontario – [link]
Rates of psychotic disorders, such as schizophrenia, can be as much as five times higher in some ethnic minority groups such as people of black Caribbean or African heritage in the UK. By contrast, there is no such pattern in Caribbean countries, suggesting the increased risk is context dependent. – Hannah Jongsma
Autism
The likelihood of an autism diagnosis depends heavily on an individual’s date of birth, though this relationship manifests in three entirely distinct ways: the calendar year they were born, their birth date relative to the school cut off, and the biological season of birth.
The single strongest correlation between a birth date and an autism diagnosis is the chronological year of birth: [link]
Autism shows geographic disparities in diagnosis: [link]
Numerous large-scale population studies show that children born to migrant parents are significantly more likely to be diagnosed with autism: [link]
Children born to first-generation immigrant mothers are more likely to be diagnosed with certain forms of autism compared to children of native-born parents: [link]
Research indicates that women who migrate or immigrate during pregnancy are nearly twice as likely to have a child diagnosed with autism compared to non-migrant mothers: [link]
Neural tube defects
What can we learn from neural tube defects in migrants? – Claire Craig – [link]
In Pakistan and Bangladesh, neural tube defects affect several times as many pregnancies as in the ethnically English, at broadly similar rates in the two countries.
However, in England, mothers of Pakistani ethnicity have a rate that has converged on the white rate. By contrast mothers of Bangladeshi ethnicity have nearly three times the white rate of affected pregnancies.
A high proportion of Bangladeshi mothers were born there e.g. 74.2 percent giving birth in Birmingham in 2010.
There was marked geographical variation, with preliminary West Midlands data putting the Pakistani rate at more than five times the White rate. That difference has never been explained.
We see all the signs that fit our hypothesis, with geographical variation, problems with immigration and possible adaptation over generations.
Some research points to a higher rate of neural tube defects in babies conceived during specific times of the year, like late summer, early autumn, or winter. [link]
In Newfoundland, babies with anencephaly are conceived most often in January, and those with spina bifida in August, and previous observations suggest the peak season for conception of anencephalic babies may occur in any season except August-November in various populations. [link]
Case studies in neural tube defect causation – Clare Craig [link]
Neural tube defects present in regional epidemics.
Well if they are not infectious then what cause could span a whole region? Suggestion: weather conditions.
In Birmingham the rate nearly doubled, almost halved, then doubled again within twenty years.
What could cause this? Weather conditions?
Similar wild variations were fount in many areas:
Elwood documented the same pattern elsewhere, comparing Dublin with the Boston and Providence lying-in hospitals across the years from 1900 to 1965 and finding epidemics that peaked in 1935 to 1939 and again in 1960 to 1965. The Dublin wave resembled the epidemic of neurological malformations in the north-east United States, which was at its highest between 1930 and 1934. Rochester, New York recorded a rise at much the same years as Boston and Providence. Rates rose and fell across whole cities on a timescale of years.
In the spring of 1991, six anencephalic babies – where the brain has not formed – were born in six weeks at one hospital in Brownsville, Texas. Brownsville is in Cameron County and the incidence there for all neural tube defects was 1.47 per 1,000 births from 1986 to 1989. In 1990 and 1991 it was 2.71. The incidence for anencephaly alone rose from 0.96 to 1.97 per 1,000. Surveillance was then extended along the whole frontier and found that the raised rate was not confined to Brownsville. It ran across all fourteen Texas counties on the border with Mexico. The mothers were 93 percent Hispanic.
We have, so far:
- Geographical clusters
- Coordinated temporal variations
- Not an infectious disease
- No conventional explanation
- Displaced(?) population
- Developmental sensitivity
- Seasonal variation
In Cameron County, Texas, a cluster followed a mould toxin in the corn crop. The toxin disables the folate receptor.
Interesting. Consider that both the mould outbreak and NTD cluster had the same cause, namely antipathetic atmospheric EMF. Coincidences of disease outbreaks such as this need to be noted.
In 1972 James Renwick noted a relationship between the geography, seasonality and timing of potato blight and neural tube defect incidence.
Both animals and plants use ambient EMF to regulate growth and development and so it is not too surprising to find these coincidences of regulatory disruption even across different kingdoms of life: Frank Brown
Adaptation
There are many studies of ‘viral immunity’ available that can be re-purposed to support the idea that individuals can adapt to whatever it is that causes influenza, say.
Since no viral particle has been delineated, the strength of any study cannot depend upon this method of causation but must depend solely upon statistical factors and these are now valid or not regardless of the causal mechanism.
Summary
An easily discerned pattern of disease has been described and a hypothesis put forward that it is explained by biological dysregulation caused by antipathetic disturbances in the local electromagnetic field conditions.
Examples have been given as evidence, with influenza and neural tube defects being notable. However, simple searches with an AI engine quickly reveal many others.
This pattern is never looked for and so other hypotheses take precedence, with the result that millions of individuals are subjected to toxic vaccines or the addition of folic acid into basic food essentials.
The acceptance, or even consideration, that there are causes of disease which are outside of our control, should have a considerable impact upon public health policies.