There is a large body of research showing correlations between date of birth and subsequent health outcomes, with one paper showing a dramatically reduced lifespan (by nearly 10 years!) for those born during high sunspot activity.
For people born at certain times in history, susceptibility to chronic disease increases significantly and life expectancy is reduced:
- Schizophrenia
- Bipolar disorder
- Cancer
- Multiple sclerosis
- Autism
Correlation exists with several factors:
- Year of birth
- Time of year
- Latitude
- Sunspot activity
- Local weather conditions
Sensitivity of foetal development is suspected with assumed mechanisms of altered bio-chemistry and disrupted gene expression. Several causal factors have been proposed:
- Ultraviolet light
- Temperature
- Seasonal toxins
- Infection from the mother
- Vitamin D deficiency
Autism is very clearly linked to the (seasonal) vaccine schedule and it seems that the younger the patient at time of injection the greater the likelihood of injury. An association is therefore expected with both date of vaccination and month of birth.
This no doubt plays some role in the cause of other conditions as well but there does seem to be some other contributory factor at work. Correlations are reported with both latitude and solar activity and life expectancy is measured in mostly older subjects who would not have been subjected to such a ‘rigorous’ vaccine schedule as today’s infants.
This page will make a case for the direct influence of cosmological factors via electromagnetic field disturbances.
Hypothesis: These problems are caused by dramatic changes in the Earths magnetic field which propagate to the surface via discrete currents and affect gene expression. The origin of these changes is ultimately the sun and this explains the correlations with season, latitude and solar activity.
The hypothesis:
- Fits the general ‘pattern’ of available evidence
- The idea of solar filaments is described by Michael Clarage here
- Mainstream science is starting to investigate the idea of magnetic disturbances here
- Electromagnetic activity is correlated with weather here
- Similar correlations are found between weather and assumed ‘infectious’ diseases – Influenza and weather – Measles – Influenza and field vortices
- Similar diseases are found to be associated with man-made disturbances of the Earth’s electromagnetic field arising from radio masts and cell-phone towers – 5G and Covid
- Electromagnetic fields have been found to affect gene-expression in many laboratory experiments
- Vortices in the form of Tesla waves can penetrate deeper into biological tissue than ultra-violet light
So electromagnetic filaments emerge from the sun and make their way to the Earth where they impact our magnetosphere, causing local disturbances which can affect the general regulatory system and morphological gene expression of both the mother and the developing foetus.
The sun’s magnetosphere is subject to influences from other bodies in the solar system and these disturbances add a fine grained structure to the rhythmic variations coming from the sun. We should therefore expect correlations with:
- Season and latitude
- Solar flares and sunspots
- Localised geographic clusters
- Lunar cycles
- Other planetary orbits and alignments
For scientific evidence for the general effect of these phenomena on biological systems read:
- Cosmic influences on humans – J T Burns
- External factors in the mechanisms on biological clocks – Frank A Brown
In the J T Burns book, both the brain and foetus seem particularly susceptible to ‘cosmic’ influences and so psychological and developmental disorders should be expected.
Genetic imprinting and biological information
Once established, schizophrenia was exacerbated by lunar cycles with different types of the disease responding to different phases of the moon. A tentative hypothesis might be that the magnetic irregularities might form stereotypical patterns and that developing embryos are ‘imprinted’ or ‘sensitised’ with this information and will recognise it later on in life and respond with corresponding symptoms.
Support for the idea that magnetic disturbances carry biological ‘information’ may be found in the epidemiology of influenza and measles where we have two seasonal diseases breaking out in a predictable fashion in different places on the planet at slightly different times. Both, I think, are caused by ‘field vortices’, which begs the question: “How is it determined which disease is produced?”
The obvious inference here is that the atmospheric signals are not just ‘noise’ but contain some distinguishing features, i.e. information.
This may sound far fetched but it isn’t so different from the (admittedly refuted) theory of viruses whereby a small package of field information wreaks havoc with the body. DNA is composed of ‘matter’ for sure but it is only recognised by its radiant field structure (there is nothing else!) so a direct comparison is appropriate.
Much of the observations of virologists are therefore accurate but they didn’t need to have the information in RNA and didn’t need to assume transmission, as the information comes straight from the magnetosphere at the appropriate times of year and at the appointed latitude.
The major problems with virology are therefore circumvented. There is now no need to explain the lack of human to human transmission for there is none and there is no need to explain the failure to isolate a physical particle as no such thing is necessary; we are dealing with pure ‘energy’ as the cause of disease and it is delivered in exact accordance with the observed epidemiology.
The evidence
Lifespan
Solar energy at birth and human lifespan – George E Davis Jr, Walter Lowell
https://pubmed.ncbi.nlm.nih.gov/30015061/
Methods: The data used 78 million death records from the National Centre for Health Statistics (NCHS) from 1979 to 2013 with accidents, suicides, and war casualties deleted resulted in ~63 million records
Results: Males of all races born with a UVR intensity as estimated by sunspot number (SSN) ≤ 90 had an average lifespan of 74.4 years, for females of all races, 78.1 years; males born with >90 had an average lifespan of 66.3 years, for females of all races, 70.2 years, resulting in a lifespan decrease of 8.1 years for males and 8.5 years for females (!)
For African-American males born ≤ 90 SSN, 70.8 years and for >90 SSN, 62.5 years, an 8.3-year decrease; similarly, for African-American females ≤ 90 SSN, 75.0, for >90 SSN, 65.4 years, a 9.6-year decrease.
We also found that there were twice as many persons with MS born in >80-90 SSN as in the general population. – Davis, Lowell
Month of Birth and Mortality in Sweden: A Nation-Wide Population-Based Cohort Study – Ueda et al
Over 6,000,000 records examined.
“Month of birth was a significant predictor of mortality in the age-spans >30, >50 to 80, and >80 years. In models adjusted for gender and education for ages >30 and >50 to 80 years, the lowest mortality was seen for people born in November and the highest mortality in those born in the spring/summer, peaking in May for mortality >30 years” -Ueda et al
Cancer
Seasonal variation in the month of birth in patients with skin cancer – La Rosa et al
https://www.nature.com/articles/bjc2014522
“Month of birth influences the risk of developing several diseases. We investigated the influence of date of birth on melanoma skin cancer (MSC) and non-melanoma skin cancer (NMSC) incidence.” – La Rosa et al
“People born in February to April showed significantly elevated risks of NMSC compared with those born in summertime.”
“Neonatal UV exposure may explain this finding.”
Schizophrenia, bipolar disorder and depression
Challenging the Hypothesized Link to Season of Birth in Patients with Schizophrenia – Tammi Lee Demier
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3196325/
“The cause of schizophrenia is unknown; however, one hypothesis is that seasonality of birth contributes to its development, with an excess of winter-spring births observed in those with schizophrenia. There are over 200 studies exploring this issue at the writing of this article with most of the studies revealing a decrease in late summer births and an increase number of winter-spring births of those individuals with the disease.”
“Though season of birth has been considered as a potential link to schizophrenia, seasonality has also been demonstrated in other mental health disorders, such as bipolar disorder and major depression. Torrey et al found that that there was a significant coherence found between schizophrenia, paranoid type, and bipolar disorder, both of which were found to have an excess of winter births, whereas depression had an excess of spring births.”
The role of latitude and infections in the month-of-birth effect linked to schizophrenia
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287767
- This largest study to date identified an excess of schizophrenia births in December, January and February.
- There was no association between latitude and the magnitude of this month-of-birth effect in schizophrenia.
- There was a negative correlation between monthly severe enterovirus cases and schizophrenia births.
- These findings carry implications for disease prevention strategies in schizophrenia.
Exacerbation by lunar cycles
Lunar cycle and psychiatric hospital admissions for schizophrenia: new findings from Henan province, China – RanRan Wang et al
https://pubmed.ncbi.nlm.nih.gov/32252567/
Conclusions: Psychiatric admissions for schizophrenia show lunar periodicities. People with schizophrenia tend to be stable in the new moon, but their condition is easily aggravated during the first quarter and full moon. Patients with paranoid schizophrenia are more susceptible to deterioration at the full moon, so merit more attention and care from communities, families, and hospitals. – Wang et al
Multiple sclerosis
The month of birth effect in multiple sclerosis: systematic review, meta-analysis and effect of latitude – Dobson et al
https://pubmed.ncbi.nlm.nih.gov/23152637/
“A significant relationship between latitude and observed:expected ratio was demonstrated in December, and borderline significant relationships in May and August.“
“Month of birth has a significant effect on subsequent MS risk. This is likely to be due to ultraviolet light exposure and maternal vitamin D levels, as demonstrated by the relationship between risk and latitude.” – Dobson et al
Related pages:
References:
Andrew Hall: Extreme Earthly Weather in an Electric Universe | Space News
https://www.youtube.com/watch?v=4PvoIi_4JiU
Michael Clarage: Solar Filaments and You! | Thunderbolts
https://www.youtube.com/watch?v=6JA38XKOVpA
UD researcher involved in discovery of magnetic explosion in turbulent space
https://www.delawarepublic.org/science-health-tech/2018-05-20/ud-researcher-involved-in-discovery-of-magnetic-explosion-in-turbulent-space
Seasonality and autoimmune diseases: the contribution of the four seasons to the mosaic of autoimmunity – A. Watad et al.
Understanding the connection between platelet-activating factor, a UV-induced lipid mediator of inflammation, immune suppression and skin – E. Damiani et al.
The effect of solar cycles on human lifespan in the 50 United States: variation in light affects the human genome – W.E. Lowell et al.
Early-life origin of adult disease: evidence from natural experiments – A. Vaiserman
The sun determines human longevity: teratogenic effects of chaotic solar radiation – G.E. Davis et al.
Mutations induced by ultraviolet light – G.P. Pfeifer et al.
Solar cycles and their relationship to human disease and adaptability – G.E. Davis et al.
Indirect evidence that ultraviolet-B radiation mitigates multiple sclerosis in the United States – G.E. Davis et al.
Mutation load and human longevity – L.A. Gavrilov et al.