This is a response to Clare Craig’s essay in the Daily Sceptic titled: The Unsolved Mystery of How Viruses Spread – and Why Germ Theory Isn’t the Whole Answer which asks why the epidemiology of influenza does not support the idea of viral transmission.
Clare is highly unusual amongst virus believers in taking an interest in the epidemiology of influenza and in attempting to explain it. However, this is the correct way to proceed. Evidence must be explained; this is an immutable rule of scientific endeavour. It is no good having a nice sounding theory of small particles, genetic sequences and immunity theory, if your predictions simply do not accord with reality.
If the predictions of virology are insufficient to explain the epidemiology, then there must be some additional or alternative cause of disease which leads to the patterns we see. Clare gives some plausible mechanisms for these.
Compare with the views of the emerging ‘no-virus’ movement who have worked out that no virus has ever been isolated but take no interest whatsoever in the epidemiology of disease. Andrew Kaufman has stated in his interview with Steve Kirsch that “Epidemiology is not science” and Tom Cowan is claiming that there is “no such thing as disease” but that all symptoms are really just signs of the body healing itself and are therefore beneficial.
This is no way to make progress. The epidemiology of influenza is key to its cause, as we have nothing else to work with.
The Unsolved Mystery of How Viruses Spread – and Why Germ Theory Isn’t the Whole Answer – Clare Craig [link]
The essay makes some key claims and presents arguments for each:
Viruses exist and are the cause of disease (this post disagrees)
The epidemiology of influenza does not support the orthodox view of viral spread (correct)
Some other seasonal influence is at work (this post agrees and identifies such influence as some sort of disturbance of the Earth’s magnetic field)
Evidence for viral contagion
Viral genetic material turns up in clusters of sick people. The sequences match. They change over time with new mutations in consistent ways without reverting. Even though testing is not perfect, people with positive tests are far more likely to be sick than not. – Clare Craig
This is not evidence for viral contagion.
The existence of viruses has not been proven and so it is premature to talk of ‘viral genetic material’. Moreover, ‘genetic material’ is said to be present in tissue cultures and not within living organisms; this is the whole aim of so-called viral isolation.
No virus has adequately isolated and so we can never say with any certainty whether or not a particular genetic sequence originated in a virus or somewhere else.
As a consequence of this we can never say with any certainty that changes in measured sequences are the result of ‘mutation’. All that we know is that the results of certain laboratory procedures and software routines produce somewhat reproducible results which vary over time and seem to correlate with disease. Everything else is mere interpretation.
One alternative interpretation is that the body is responding to seasonal variations of the Earth’s electromagnetic field in a stereotypical way. Sick people are in a ‘state’ where metabolism, regulatory processes and gene expression are significantly altered and something of this new state persists in the tissue culture. It is this regulatory persistence which then gives rise to the patterns we see with PCR tests and sequencing results.
Such patterns in the results are then misinterpreted as mutations. The lack of reversion may be caused by the ever changing magnetic field or by the body’s tendency to adapt to almost any stimulus and to produce a noticeably different response when it next encounters a similar stimulus.
The lack of reversion is thereby explained along with the apparent rapid global spread of novel variations in sequences which is now not caused by transmission at all but by the propagation of electromagnetic effects across the globe.
Another interpretation is that a tissue culture forms a biological system of itself which is capable of receiving and interpreting seasonal cues from the environment. In this case, the resulting sequencing results are less related to the state of the original host and more related to the laboratory procedures.
Disease correlates with season and so PCR tests correspond with both season and disease.
PCR and sequencing equipment work by measuring small changes in electrical voltage and so we cannot rule out that seasonal phenomena in the Earth’s magnetic field may have some effect upon the outcome of these procedures by directly influencing the mechanics of the equipment itself. Magnetic variations can be very strong; see the Carrington Event.
Viruses have been well described. Even if isolation methods are not flawless, electron microscopy and crystallography have shown fine-grained details including the shape of structures like the surface of the spike protein.
Viruses have not been adequately isolated and we therefore cannot say that any image seen through an electron microscope is a virus, no matter how well described the morphology. There is little point in looking at a ‘spike protein’ if you can’t demonstrate its function and can’t demonstrate transmission.
Spike proteins may be present in sick individuals but the protein arises from the regulatory status and not the other way around. The spike is a result of sickness, not the cause of it and does not itself constitute a virus.
Morphology, no matter how distinctive, is not proof of function, not proof of virus and not proof of causation of disease.
At high doses, transmission works. Human challenge trials demonstrate that viral exposure can cause illness when the dose is high enough.
The referenced link shows no human to human transmission, no transmission via breath and no transmission via droplet. It did not isolate a virus properly and therefore did not demonstrate viral exposure via any means at all.
All these arguments presuppose that the existence a virus has already been established and that such a virus has been successfully isolated. Neither of these has happened and so no transmission study is worth anything in this respect.
Genetic tracing of viruses during outbreaks shows that distinct lineages spread from person to person in predictable clusters, confirming person-to-person transmission.
No lineage has been seen to ‘spread from person to person’. Influenza occurs in geographic clusters and such a clustering is merely assumed to have been produced by transmission.
Genetic sequences are assumed to come from a virus but this is not yet proven. The tracing of a sequence is, of itself, not proof of the existence of a sub-microscopic particle containing genetic material and is not proof of any causal link between such sequences and any actual disease.
If individuals are responding in predictable ways to disturbances in the Earth’s magnetic field for example, then this will give the impression of transmission. Whole communities will get sunburn at the beach but this does not confirm person to person transmission.
This evidence explains the mechanism of viral infection. But it does not explain the timing of the waves of infection that are characteristic of many viruses like influenza and COVID-19.
No, the evidence does not explain the mechanism of viral infection.
Genetic tracing looked at group clustering, not individual mechanisms
Genetic coincidences in clusters says nothing about a mechanism
Purported morphology of viruses has no relevance to mechanism
High dose nasal inoculation is not a natural transmission mechanism
Big Fail.
Where the traditional model fails
Normal-dose challenge trials often fail. The evidence here is strong: under experimental conditions, exposure frequently does not result in illness. A recent study confirmed this again.
“Often fail”? – “Invariably fail” is closer to the truth.
Influenza comes in seasonal waves at specific locations and that is that. If you arrange a trial outside of flu season you will get no new patients. If you attempt a trial during flu season then either nobody gets ill (wrong location) or a reliable 10% of patients will get ill.
Proving actual transmission will be another Big Fail though as control groups will get as ill as the rest of them. See studies in Antarctica, submarines, cruise liners and space stations.
Hospital-acquired infections peak at the same time as cases in the community. If spread were primarily driven by close contact, we would expect a lag, as community infections peak then admissions then within hospital infections. But the expected lag does not occur. In fact, hospital-acquired infections peak before the admissions to the hospital.
Influenza is caused by exposure to antipathetic EMF whether it be from natural or man-made sources. These are invariably localised, can entrain to a single individual and can penetrate the roof of a building. There is no escape from them: Influenza is a regulatory disorder caused by changes in the weather
The conditions in hospitals with a high degree of ambient EMF, 5G monitoring equipment, patients in close proximity and lack of fresh oxygen (What causes pneumonia?) further weakens patients and expedites outbreaks in hospitals.
I asked a local covid nurse if she was worried about catching the disease. She replied: “No, nurses have very good hand hygiene” She was not worried about transmission by breath.
Doctors, nurses, dentists, care workers, shop till assistants have theoretically far greater exposure than the rest of us and should therefore be sick almost all of the time. This never happens.
Waves occur with seasonal regularity. Epidemic peaks in the UK often occur with peak deaths at predictable times of year before falling away for a time
It is often claimed that respiratory virus waves are driven by viral evolution or viral interference. In this view, waves happen when new variants arise that can evade existing immunity, which increases transmissibility and allows the virus to reinfect previously exposed populations.
The reality is .. much harder to explain by mutation or interference alone.
The timing is too consistent
In the UK and many other temperate countries, waves have arrived roughly every 13 weeks, across multiple years and virus types. This rhythm has held steady through variant shifts, travel restrictions and mass behavioural changes. Random events like mutation and competition do not produce this kind of precision.
Influenza arrives with a seasonal rhythm, strongest at winter solstice, but with smaller waves in summer, spring and autumn. The timing is slightly different for different regions and there are latitudinal patterns. Influenza and weather
Submariners are not protected from infections
Quite. Seasonal changes have an effect even when under water or in space. This suggests the presence of electromagnetic scalar waves (Tesla waves) which can penetrate all forms of matter.
Faster mutation does not speed things up
In the 24 months before December 2021, pre-Omicron SARS-CoV-2 accumulated around 20 mutations per year. From January 2022 to mid-2025, Omicron accumulated approximately 25 per year. Despite this 25% increase in mutation speed, the waves kept arriving on the same seasonal schedule.
This is because mutation is an illusion. Sequences are downstream of disease states and disease states vary strictly with the seasons. See above.
Hospitals are full of virus aerosols year-round but infections still peak and fall
An AI engine could not find an experiment that claims this and so this is likely to be an incorrect inference drawn from an unproven theory.
Viruses have not been shown to exist in hospitals or anywhere else.
Spread skips regions
Each variant of SARS-CoV-2 spread country to country following the same seasonal susceptibility patterns as influenza. Large regions were skipped entirely in early waves e.g. Eastern Europe in spring 2020 and UK, Portugal, Ireland (i.e., the west of Western Europe) in spring 2021.
This is further support for the idea that the cause of influenza comes directly from the atmosphere. We need a cause which can, at the same time coordinate a disease over a large area but which may also have definite boundaries. An outbreak may cover an area the size of a cruise liner or a whole continent.
Weather systems are a good candidate for this, being organised along the lines of cyclonic vortex structures. Such structures may cover a continent or may be focused down to something a few yards across.
The susceptibility model
The model that makes sense of these observations is one where infectious agents are necessary but not sufficient. The timing of illness must be due to something else.
Infectious agents have not been shown to exist and so cannot be considered necessary.
There must be a third factor that:
Peaks once each season (always in autumn and winter and not always in spring and summer)
Affects only a fraction of the population each season
Can spare certain regions entirely in any given wave
Is capable of synchronising illness peaks across hospitals and communities
Yes, at last we have some agreement.
The necessary factor is some sort of disturbance in the Earth’s magnetic field. Supporting evidence is that influenza outbreaks are sometimes synchronous along lines of latitude and exhibit a general movement from tropics to poles in winter. Exposure to man made EM disturbances such as 5G causes influenza in trials and the initial outbreaks of covid correlated strongly with the rollout of 5G in Wuhan, Italy and New York.
The evidence excludes certain possibilities:
Other environmental factors like electromagnetic or space weather effects have cyclical differences but these track annually, not quarterly.
No. Big mistake here to exclude space weather effects. We have:
Seasonal effects of the magnetic field including those in summer, spring and fall
The chart shows a clear correlation between the Kp index of the Earth’s magnetic field and covid cases. Covid cases in red with Earth’s magnetic field in blue (trendline in black)
This chart from Nasirpour et al. shows a clear association between pandemics and solar activity.
The immune clock
Our immune systems change with the seasons. Gene expression studies show clear and consistent shifts in immune pathways across the year – with January and July as polar opposites and transitional patterns in April and October. These changes are not subtle – nearly a quarter of genes are affected. The pattern is the opposite in Europe to Australia. In some cases, the winter and summer immune profiles are as different as those seen in entirely distinct disease states.
If there are no viruses then there is no immune system as there is nothing to be immune to!
So what are they measuring?
What is being measured is some parameters of the regulatory system and these are seen to vary across the seasons. The system gets its cues from external sources such as light, temperature and electromagnetic events. Biomarkers have been seen to vary according to the phase of the moon but nobody believes that this is because of gravity or even moonlight and so the only remaining candidate is an electromagnetic signal. See: Magnetic flux ropesThe Shnoll EffectBirth date, lifespan and diseaseFrank BrownGiorgio Piccardi
Now, as gene expression is involved, then anything involving gene expression is involved and that means almost anything.
The ‘immune system’ is regulatory in nature and phenomena such as the coordination of symptoms and sustained high temperature in influenza are surely managed by such a system as opposed to a small viral particle.
Disease is therefore a problem of regulation and regulation is receptive to cosmic rhythms: Frank Brown
Susceptibility and dose
Whatever the factors are that lead to susceptibility they must overcome the mucus barrier of the respiratory tract which is normally impenetrable to viruses.
No, because no virus is involved. Disease is the direct result of atmospheric disturbances on the regulatory system. No material substance is involved.
There are three main explanations for the seasonal cycling seen in human immune gene expression:
The viral mutation model. Immune cycling is downstream of viral exposure. Seasonal waves of infection, with everyone exposed to airborne viruses, drive immune activation, while gene expression shifts reflect that exposure.
Alternatively, gene expression, ‘mutation’ and ‘immune evolution’ are all downstream effects of atmospheric disturbances which are slightly different each year. Affected individuals adapt to specific disturbances and produce different sequencing results thereby creating the illusion of mutation. The illusion of immunity is similarly created as, having adapted to a stimulus, they will likely not succumb to a similar stimulus the following year.
Immunity studies can, to some extent, be ‘repurposed’.
Innate biological rhythm. Each person’s immune system runs on a built‑in annual clock, independent of environment or exposure.
Environmental entrainment. Immune function responds gradually to sustained environmental inputs – atmospheric, electro-magnetic or otherwise – which vary by season and location.
This one is tempting I will admit but I think that it is again incorrect; there are no built-in clocks in the human body and even the idea of ‘entrainment’ is highly doubtful.
Influenza outbreaks conform to a characteristic pattern with narrow peaks which occur close to the winter solstice but which vary in their timing from year. Such variation is not characteristic of entrainment where we would expect very precise timings with any variation taking several annual cycles to develop.
There is disease following tornadoes and earthquakes, both associated with electromagnetic output. There are associations between sferics and headaches and there are almost instantaneous outbreaks associated with humidity changes or the rollout of cell-phone technologies. These rapid responses to randomly timed exposure show that population entrainment is certainly not necessary for the production of disease.
What seems to happen is that our bodies know approximately what sort of rhythm is required and will pick one from the available sources as a timekeeper. Speeding up the metabolism of laboratory animals will not speed up the timekeeping and so the time keeping does not arise from any metabolic process.
Our bodies seem to be able to select and receive any desired rhythm from the environment but unable to produce it internally. See: Frank Brown
The fact that people in Australia have the opposite cycle of immune gene expression indicates that the rhythm is not innate.
Told you so!
Experiments on students in deep underground caves show that they can sustain circadian rhythms with no exposure to light and this has led scientists to think that the rhythm is innate. However, the experiences of astronauts and submarine crew suggest that some influence is still reaching them somehow.
The electromagnetic scalar waves as described by Tesla are said to be capable of penetrating water or rock and so these must be considered as a prime candidate for transmission of environmental or maybe ‘cosmic’ information.
Note that sferics are said to be measurable thousands of kilometres away from the source with little to no attenuation. This is a defining characteristic of a Tesla wave.
This lack of attenuation can only be achieved if the energy of the pulse is strictly contained in a finite footprint. This will clearly result in exposure to only a certain percentage of the population and will confine such exposure to limited geographical regions at any one time.
However, it could well be something we simply have not measured e.g. a seasonal atmospheric phenomenon that is invisible to our current tools.
Yes. This is the way to go.
Contemporary physics is unable to describe biological systems despite the best efforts of both physicists and biologists. Moreover, there are so many anomalies and unexplained phenomena in the world that we must conclude that physics cannot even explain physics!
This incompleteness is important. We must expect to find things that we cannot explain in conventional terms and must not panic too much. The temptation to ignore anomalies must be resisted as must the temptation to use terms such as ‘pseudo-science’ for almost anything outside of orthodoxy. Arguments such as “This cannot be true because there is no physical explanation” are now invalid.
This raises the salience of experimental observations and emphasises the importance of epidemiology. The study of pure correlation is science without a mechanism, it enables us to uncover some aspect of truth even when we have little to no idea of how things work.
Revealing the relationship between solar activity and COVID-19 and forecasting of possible future viruses using multi-step autoregression (MSAR) – Nasirpour et al. https://pubmed.ncbi.nlm.nih.gov/33725302/
Abstract: Energy and matter are transferred from the sun to Earth in brief dynamic bursts (magnetic flux events) via electromagnetic filaments, also known as magnetic flux ropes. The ropes initially form at the Earth’s equator and then travel towards the winter pole. These events seem likely candidates for the original causes of regulatory disorders such as influenza and may explain the simultaneity of outbreaks along lines of latitude. Flux ropes that are visible through the movement of air may be what is represented in much ancient art but misinterpreted as depictions of meteorites. Exceptionally powerful flux events may be the cause of ancient craters on the moon, Mars, Earth and other planets and are still detectable today in a weakened form. Flux ropes likely take the form of Birkeland currents.
Below: An artist’s depiction of a magnetic flux rope impacting the Earth.
A flux transfer event (FTE) occurs when a magnetic portal opens in the Earth’s magnetosphere through which high-energy particles flow from the Sun. This connection, while previously thought to be permanent, has been found to be brief and very dynamic. The European Space Agency’s four Cluster spacecraft and NASA’s five THEMIS probes have flown through and surrounded these FTEs, measuring their dimensions and identifying the particles that are transferred between the magnetic fields.
According to NASA, Earth’s magnetosphere and the Sun’s magnetic field are constantly pressed against one another on the dayside of Earth. Approximately every eight minutes, these fields briefly merge, forming a temporary “portal” between the Earth and the Sun through which high-energy particles such as solar wind can flow. The portal takes the shape of a magnetic cylinder about the width of Earth. Current observations place the portal at up to 4 times the size of Earth – Wikipedia
Flux events as the cause of moon craters
The moon, Mars, Venus and to some extent the Earth, are covered with craters which could well have been caused by magnetic flux events. The craters are said to have been caused by the impact of comets, but several factors mitigate against this:
Arguments that a lack of atmosphere on the moon allows free passage of comets fail when applied to the Earth
All these craters seem to be of a similar depth regardless of their radius and assumed impact mass
All the craters on the moon, at least, are circular in shape and never elliptical. This suggests that all impact is perpendicular to the surface of the body. This is too much to be a coincidence and needs some explanation
The moon craters show a general spiralling aspect (subjective) and pole clustering unexpected from the impact of random chunks of rock
Are these craters instead the result of powerful magnetic flux ropes which have attached to the moon temporarily and melted the rock into a circle? A magnetic tornado has accumulated debris at its centre and deposited it in a small mound which is easily visible in many pictures. The circular aspect is caused by the tendency of the tornado to ‘ground’ in a least energy pathway or maybe for it to be directly guided by the moon’s gravitational field.
Persistence of ancient rope connections?
Contemporary maps of the moon’s gravitational field show clear anomalies that coincide precisely with existing craters.
Not the preponderance of anomalies on the visible side of the moon (the side facing the Earth).
The technique used was to have two satellites orbit the moon and to form a radio wave connection between them. As the satellites moved around the moon, interference patterns in the radio waves suggested that the distance between the satellites had changed by a very small amount and this was attributed to small changes in the gravitational field of the moon. The scientists speculate that these gravitational discontinuities are caused by the surface irregularities of the moon.
Now if we have crater-like shapes on the moon and are measuring the same irregularities out in orbit then it seems inevitable that we would measure the same irregularities if we were in a higher or lower orbit. To rephrase this, there exists a gravitational(?) tube or filament extending from the moon craters to the satellite and beyond.
The images are crisp which implies a sharp edge to the filament. Newtonian gravity is radiative and dissipative; it is inconceivable that it should produce such artefacts. The filaments are sharp and hold their shape and this suggests some centripetal ‘field movement’ typical of electromagnetic fields.
The notion that these are gravity tubes originating in the physical matter of the moon makes it credible that they should simply dissipate into space at larger orbits, but the formulation as electromagnetic filaments allows the possibility that they hold their shape all the way to some other destination. Now since almost all of these anomalies are on the side of the moon that permanently faces Earth, the logical conclusion is that this is where their true origin lies.
A plausible hypothesis
The gravitational filaments in moon orbit are really some sort of electromagnetic current produced by discharge from the Earth, either directly from the surface or from somewhere in the ionosphere. The moon craters were formed millennia ago from the discharge and although the intensity has abated, the connection has persisted and the filaments persist to this day.
The permanent connection between the Earth and moon has affected the rotation of the moon and entrained it to the position of the Earth, giving the rotation we see today whereby the same hemisphere of the moon is permanently facing the our planet.
The discharge of possibly vast amounts of energy from Earth to moon acts as a stabilising influence on our planet’s ionosphere and makes life here less hazardous.
The filaments are permanently tethered to the Earth but must somehow cope with the Earth’s rotation. One possibility is that they ‘drag’ along lines of latitude as the Earth spins and that this causes synchronous effects in the health of the population (see below). The dragging may be continuous or may pause for significant periods at some locations more than others; after all, certain locations on the moon seem able to fix the filaments permanently.
A passing over of a filament or a sudden discharge event may destabilise the human regulatory system causing measurable effects in the health of the population.
If there also exist filaments from the sun to the Earth, then these no doubt will interact with the Earth-moon filaments, causing more disturbances and possibly adding a 29.5 day periodic component to any effects on health or biometrics.
A flux event as the cause of Earthly craters
Many similar craters appear on Earth, with one example, the Eye of the Sahara (Richat structure), shown below. This is claimed to be an eroded bubble in the Earth’s mantle, but could it just as easily have been caused by magnetic flux ropes? Note the concentric circles and alternating directions of the breaks in the rocks.
Flux ropes as Birkeland currents
If a flux rope has come all the way from the sun or makes it to the moon without significant attenuation then there must be some ‘cohesive’ forces that are holding all this energy together and preventing it from dissipating into the cosmos. This observation taken together with the concentric circles shown in once molten rock above, suggests that the flux ropes adopt the form of the alternating coaxial currents referred to by cosmologists as a Birkeland current (See below).
The phenomenon is electromagnetic in nature and arises naturally from the laws of electromagnetism. (Wallace Thornhill)
Depictions of some sort of serpent abound on the planet in various forms, here the Great Serpent Mound in Ohio.
The head of the snake is often aligned with the spring equinox and is accepted by many as representing the Sun. Some have interpreted the sculpture as a whole as representing either a solar flare or a stream of meteorites originating at the sun and causing some sort of catastrophe on Earth.
Another interpretation is that what is depicted here is not a violent stream of flaming rocks, but a sinuous plasma tornado initiated by a magnetic flux rope originating from the sun. The serpent may be a mighty tornado or it may be a routine electromagnetic effect that passes by unnoticed.
Elliptical craters
All the craters on the moon are circular but there exist elliptical craters in the Carolina Bays and other places. How are these formed?
An obvious guess is that they are formed by magnetic flux ropes which for some reason hit the surface at an angle. Why? Is this caused by latitude? The season? Some sort of geo-magnetic anomaly in the past that mis-guided the ropes?
They all look the same proportions and so it looks like they were all caused by the same phenomenon and possibly all at the same time. They appear to be lacking a central mound.
A seasonal indicator?
Computer simulations suggest that the behaviour of solar flux ropes is different according to season and may therefore act as an indicator of season. This may be of some relevance to seasonal disease.
“According to NASA, since Cluster and THEMIS have directly sampled FTEs, scientists can simulate FTEs on computers to predict how they might behave. Jimmy Raeder of the University of New Hampshire told his colleagues simulations show that the cylindrical portals tend to form above Earth’s equator and then roll over Earth’s winter pole. In December, FTEs roll over the North Pole; in July they roll over the South Pole.” – Wikipedia
“I think there are two varieties of FTEs: active and passive.” (David Sibeck) Active FTEs are magnetic cylinders that allow particles to flow through rather easily; they are important conduits of energy for Earth’s magnetosphere. Passive FTEs are magnetic cylinders that offer more resistance; their internal structure does not admit such an easy flow of particles and fields. (For experts: Active FTEs form at equatorial latitudes when the IMF tips south; passive FTEs form at higher latitudes when the IMF tips north.)
So local electro-magnetic conditions are profoundly different in summer and winter, with the winter months transferring more energetic particles from the sun to Earth than the summer months.
What happens of you are standing underneath a sudden influx of energy from the sun?
A cause of disease?
The post: Influenza and field vortices speculated that influenza outbreaks are caused by electromagnetic field vortices in the atmosphere and the post: Influenza and weather found many correlations between weather events and outbreaks but only during winter months.
The regulatory system is electromagnetic in nature
Outbreaks form along lines of latitude
Outbreaks are correlated to changes in the weather
Changes in the weather are accompanied by changes in the local electromagnetic conditions
Outbreaks are seasonal but not related to temperature
The northern flu season starts at the equator and moves up the latitudes towards the north pole in winter (Hope-Simpson)
The southern flu season moves the other way
The correlations with weather events are very precise, but only in the correct season
The question that remains is then: “What is it that defines the season?”. We need to find some reason why the electromagnetic conditions are reliably different in winter, some explanation as to why the ‘season’ moves from south to north each year and a reason why the season does not coincide precisely with the calendar year.
The behaviour of the flux ropes gives us some basis for an explanation although the description is far from complete.
We now have a theoretical model (computer simulation), at least, which:
Is electromagnetic in nature
Is a highly localised phenomenon
Is seasonal in nature
Produces different local electro-magnetic conditions in summer and winter
Has some possibility of ‘movement’ from south to north
Could possibly travel along lines of latitude
Is likely linked to solar activity (sunspots etc.)
Latitudinal synchrony
The chart below shows the number of cases of flu measured over a period of 6 years in Cirencester (UK) and Prague.
The pattern matching is striking, with precisely matching timings and similar magnitudes. The same cause is present in both cases in towns which are 800 miles apart but at similar latitudes.
Hypothesis: Magnetic flux ropes are the cause of weather disturbances that lead to influenza outbreaks in these towns. If a flux rope can survive for more than a few hours only, then it traces out a line of disturbed magnetic activity on the ground as the Earth turns beneath it.
Think about what happens as the Earth turns. A rope from the sun cannot remain fixed at a point on the surface as this would mean looping around the planet at night time, which seems unlikely. The footprint of the rope must remain approximately stationary with respect to the sun whilst the Earth turns beneath it.
The flux ropes are described as moving towards the pole in the winter and it is interesting to note that although Prague is at a latitude of 50°, Cirencester is nearly two degrees north of this, at 51.7°. The rope may be spiralling slowly northwards.
Latitudinal gradient
Grenfell et al. in the chart below found a strong correlation between influenza ‘season’ and latitude, with outbreaks occurring later with the more northern latitudes. (The start of July is week zero I think)
This is an important discovery as the usual assumption is that outbreaks are somehow coincident with colder weather. This cannot be true as it would imply a general southerly progression from the north pole downwards.
How to explain?
If we think that influenza is caused by some atmospheric disturbance of electromagnetism, the in the first instance we are looking for some such disturbance that moves from south to north as the northern winter season progresses.
But we already have, from the Wikipedia article: “(Computer) simulations show that the cylindrical portals tend to form above Earth’s equator and then roll over Earth’s winter pole. In December, FTEs roll over the North Pole; in July they roll over the South Pole.”
This looks promising, but it isn’t too clear what is happening here. How long does the rolling take? What happens in October? Does it still roll all the way to the North Pole or does it pause half way?
This lack of clarity doesn’t really help our hypothesis but neither does it contradict it, so flux transfer events are still plausible candidates for the initiation of seasonal outbreaks of influenza.
Ancient petroglyphs and plasma discharge
Much ancient art seems to depict shapes similar to plasma discharge produced in a laboratory (Anthony Peratt) thereby suggesting that our atmosphere may have been considerably more electrically active in the past than it is today.
Crop circles
Crop circles are found mostly on Salisbury plain and have been theorised to have been caused by plasma whirlwinds (Wikipedia)
In Cilycym, Wales a farmer claims to have witnessed such a creation:
Mr William Cyril Williams wrote: “With reference to the corn circles mystery I actually witnessed one being made. I was standing in a cornfield one morning and saw a whirlwind touching the ground and forming a circle in the corn. It was just the strength of the wind in the whirlwind that formed the circle”.
The event happened in the late 1940’s when he worked on his father’s farm, Penfedw Farm at Cilycwm.
The rock art at Newgrange clearly depicts some sort of vortex wind flowing over some water:
Plausible hypotheses
Magnetic flux ropes in the past were more abundant and more visible. Even if they could not be seen directly, they could be ‘felt’ or inferred by circles in the grass for example.
Stonehenge, Avebury, Cilycwm, Newgrange and half of Salisbury plain are all at around 51° N, the same latitude as both Prague and Cirencester. This may or may not be of significance.
The flux ropes took up either permanent or seasonal residence at certain sacred places and the locals decided to make use of the intermittent (seasonal) energies associated with them.
Geoffrey Drum (Land of Chem) argues that these places were constructed as fertiliser factories, harnessing energy to facilitate bio-chemical reactions. Very possibly the astronomical orientation of the buildings helped to keep track of the season in order to optimise energy usage.
Smaller constructions are to be found all over the the world and are assumed to be tombs for the local dignitaries. An alternative idea might be that that are attempted healing chambers; the energy has been sensed or even seen by the locals and they have placed their sick there in the hope of rejuvenation.
An anecdotal description of a distinctive epidemiological pattern for the common cold suggests the possibility of contagion. Contagion is via bio-field transmission and requires sustained physical proximity or contact. Infectiousness is proportional to intensity. There is no incubation period. The hypothesis finds some support in the results of clinical trials.
Anecdotal evidence
The evidence is from my own personal experience. I hardly ever get ill and cannot remember the last time I visited a GP. I will, however, get the occasional mild cold and the circumstances are almost always the same.
My wife, ‘J’, who almost never gets ill, will visit London for a day trip and return, more often than not, feeling tired and unwell. The following day she will announce that she has a cold and I will likely start to feel unwell too. I will admit to having a cold the following day and take a day or so off work. This pattern has been fairly consistent for the last 40 years.
I used to think that the unusual viral flora in London was the initial cause and that maybe some apprehension on my part contributed to a lowering of the immune system. I no longer believe in viral transfer and am confident each time she returns, that I will not get sick as a consequence; and yet I still get sick.
This has happened one too many times now for me to think that it is a coincidence and so I am prepared to entertain the idea of some sort of contagion.
I will occasionally contract a cold by some other means and J will often then succumb the next day. I can’t remember an occasion when we both got a cold at the same time and it seems to me that the first person to get the cold suffers a little more, with the ‘recipient’ having a milder complaint.
The pattern is so distinctive and persistent that some explanation is demanded.
Hypothesis
A cold is a disturbance of the bio-field, a regulatory disorder
It can be transmitted by sustained proximity e.g. sleeping in the same bed
Contact between areas of skin may be a factor in transmission
There is no incubation period as such
The transmissibility of the disease is related to its intensity
Key points
The lack of incubation period helps to limit the spread of the disease; people get sick within hours and stay at home instead of spending 10 days wandering round in an asymptomatic state infecting other people.
The idea that intensity of disease is related to transmissibility is new and not quite the same as that of ‘viral load’. A major disturbance of the bio-field leads to ‘stronger’ or ‘more destabilising’ emissions which are more likely to affect another person. People who have the stronger emissions, however, are also those who are more likely to stay at home, thereby further restricting the spread.
On the other hand, those who remain active are the ones with the milder disturbances which are now less contagious. This is somewhat counter to the viral hypothesis where even an asymptomatic ‘super-spreader’ can trigger a global pandemic.
The above points are likely major confounding factors in the epidemiology; ‘spread’ is very limited.
Transmission requires sustained periods of exposure to an antipathetic bio-field, thereby further reducing the chances of transmission. The Common Cold Unit did all they could to prevent transmission this way by insisting upon a separate bedroom for each patient.
Transmission via droplets either on surfaces or in the air may be possible if there is some bio-field activity left in the droplet, but close, sustained contact with an entire human body will have more of an effect.
Biological synchronisation
The idea that biological information can be transferred from one person to another independently of the transfer of any material substance will be hard for some to accept. However, there are multiple papers on this, for example:
The authors found that not only did heart rhythms synchronise, but sleep phases as well. The coupling between individuals was found to be not a phenomenon of mere resonance, but a interaction between the complex systems regulating such processes: “Synchronization is a phenomenon of adjustment of rhythms due to interaction between periodic or weakly chaotic systems (Pikovsky et al., 2003)”
This is the transfer of meaningful biological information.
Sleep synchrony was greatest when couples shared a bed: “A recent study demonstrated significantly more synchronization of sleep stages when couples slept together than when they slept in separate rooms “
More anecdotal evidence
A woman has four children, all boys and the two youngest share a double bed. The children will invariably get sick one at a time about 24 hours apart.
When my (4) kids get the flu, they all catch it one after the other; I take care of them while ill, but rarely catch it myself although it might occasionally happen; my husband whom we share the house and the meals with, but has his own routines and rhythms (that is – acts per se in the family rhythms), never ever “catches” our kids’ flu.
1. The second kid that “catches the cold” after his brother shares a double bed with him.
2. Then – and not always! – and with much less intensity gets ill the other kid that doesn’t share room with the first two but does share everyday life experiences with his brothers.
3. The older one, who shares room but not bed, neither activities with his younger brothers rarely “catches” it. A few years ago, before entering the teenage years, he was also “part of the pack” and the contagion patterns were different, that is: much more similar to point 2.
Can you say anything about the timeline? Do kids catch it within days, hours or weeks?
Roughly 1 day (20-24 hours) apart.
Another anecdote
A young man works with disabled children and spends a large proportion of his time with one child in particular. There is a lot pf physical contact and as winter approaches the child will succumb to diseases typical of care homes such as colds, flu and vomiting sickness. His carer will invariably succumb soon afterwards, with the same specific symptoms.
The carer will take some time off to visit his family and the following day his mother will display symptoms but never his stepfather. Some family connection, emotional closeness or maybe bio-field similarity seems to be implicated.
Similarity to shedding
These stories seem very similar to those narrated by victims of vaccine shedding: Vaccine shedding. Certain individuals seem to transmit and others receive, whilst proximity and relationships seem implicated. In some cases of shedding a woman will suffer symptoms immediately upon being close to her husband in the evenings, only to feel relief when he goes back to work the next day, only to repeat the next evening.
Clinical trials
If catching a cold is so easy, there should be plenty of clinical trials demonstrating this. However, things are not quite that simple, as almost all studies will assume at the outset that contagion is likely and in addition, that the cause is viral transmission.
Almost any coincidence is interpreted as transmission, seasonal factors are ignored and attention is focused upon a restricted range of specific vectors (surface droplets, aerosol) to the exclusion of others. If surface transmission fails then airborne transmission is assumed and if sustained proximity is a factor then airborne transmission is assumed.
Nevertheless, we can still glean something from these studies once these biases are recognised and adjusted for. If sustained proximity is claimed as a factor but no virus was isolated, then we are nevertheless permitted to conclude that: sustained proximity was a factor.
Shared air, holiday colds and fresher’s flu
Shared air seems to be a factor in the transmission of colds and again viral transmission is usually assumed, but other explanations are available.
If a classroom of children are breathing the same air over and again then one possibility is simply that the air has become stale or depleted in some sense. The post: What causes pneumonia? suggests precisely this, that some vital energy has been removed from the air and it is this lack of energy that is responsible for deterioration of the respiratory tract.
Is this phenomenon partly responsible for ‘holiday’ colds, whereby people will succumb either before or after a break, but in either case, after spending a few hours breathing shared and recycled air on a plane in close proximity to a host of other passengers?
Is ‘fresher’s flu’ the same phenomenon?
Seasonal factors
Colds are heavily seasonal but this is never considered a factor in studies as it it always assumed that transmission is via a virus which can spread more or less independently of the time of year. This has never been demonstrated of course and never will be if the existence of a virus is always assumed at the outset, as this assumption automatically invalidates the proof.
An alternative cause for a common cold should at least be considered and since there is a strong seasonal pattern, this alternative should have something to do with the seasons. Associations with changes in the weather further suggest that such changes may actually be causal somehow, particularly if we are now doubting viral infection as a cause.
The post: Influenza and weather suggests a direct destabilising of the regulatory system by atmospheric EMF which produces outbreaks of disease which are geographically and temporally limited in their scope.
This possibility needs to be taken into account when performing clinical trials. The hypothesis here is that a cold is caught and produces symptoms within a few hours and that there is no such thing as asymptomatic transmission. Studies which appear to show contagion over several days or weeks are likely just picking up random cases caused by the seasonal effects mentioned above.
This is not contagion, but a primal cause and patients can be isolated all you like, but nothing will stop them getting a cold short of a solid lead Faraday cage.
Longer periods of study will necessarily yield more cases during flu season, but an off-season study will likely fail in this respect and for these reasons. From the point of view of viral transmission trials then, we expect to find studies that seem inconsistent and hard to interpret and we do in fact find them.
AI research
Time to look at clinical trials for support or contradiction.
I asked an AI engine: “Please list all studies where sustained close proximity was a salient factor in the transmission of the common cold”
AI summary
Sustained proximity (hours of being in the same room, regular contacts in household or school) tends to increase risk significantly. The card‑playing experiments and the household transmission studies are prime examples.
However, some studies show that even when people cannot touch their face (so reducing contact route), being in close proximity (shared air) over time still leads to infection. E.g. Aerosol transmission of rhinovirus colds with 12 h shared time. PubMed
The school study shows that even tens of minutes of close proximity per day can matter, but in that setting, the cumulative exposure in shared classroom air (many hours) seems more important than just minutes of close contact. PMC+1
The review (Transmission route of rhinovirus) also notes that while contact/fomite routes are proven, in many indoor settings airborne/small aerosol transmission with proximity and shared space seems to dominate. ScienceDirect
References from AI search
Aerosol transmission of rhinovirus colds (playing cards together for 12 hours) PubMed+1
Donors (infected) and recipients (susceptible) played cards together for ~12 h in enclosed setting. Some recipients were restrained (couldn’t touch their faces) to isolate aerosol vs contact routes. PubMed
High rates of transmission even among those who could not touch faces. Results suggested that over sustained close-proximity (12 h in same room, shared activity), aerosol transmission was strong; fomite-only route (via surfaces heavily used for 12 h) showed no transmissions in that particular experiment. PubMed
Rhinovirus transmission within families with childrenPubMed
Families were monitored for ~3 weeks after an index child had rhinovirus; includes frequent, close interactions among siblings and parents in a home environment. PubMed
Transmission was common: siblings had ≈1 case per person when index positive; parents lower but substantial rates. Suggests that in household settings (which imply sustained close proximity), spread is frequent. PubMed
Hand‑to‑hand transmission of rhinovirus coldsPubMed
Short hand‑contact exposures (10 seconds) between infected & susceptible; this is more immediate than “sustained”, but still implicates repeated close interactions. Not so much long‑duration proximity but frequent enough contact. PubMed
Found that hand contact is very efficient in causing infection compared to large/ small particle aerosols in their setup. PubMed
Systematic review: Transmission route of rhinovirus (2022) PubMed+1
Surveyed many studies, some in natural settings (homes, schools, workplaces) where people share space over sustained periods. The review seeks evidence of how close proximity plays a role. ScienceDirect+1
Conclusion: moderate evidence that airborne transmission (large or small aerosols) is a major route; less strong evidence that hand/fomite + self‑inoculation dominates in real indoor settings. But many studies in shared spaces (which by necessity include sustained proximity) show transmission. ScienceDirect
“Relative contribution of close‑proximity contacts, shared classroom exposure and indoor air quality to respiratory virus transmission in schools” (Swiss secondary school)PubMed+1
Over 6 weeks, students (14‑15 y) wore sensors that recorded daily time spent within ~1.5 m of others (“close proximity”); also shared classroom hours and monitored air quality. Students spent ~21 min/day in close proximity; many more hours in shared classroom. PubMed+1
Time in close proximity modestly associated with higher transmission risk (rate ratio of ~1.16 per doubling of close‑proximity time). But shared classroom time (sustained exposure in closed space) and poor air quality were stronger predictors. This suggests that sustained shared‑space exposure matters more than fleeting close proximity. PubMed+1
Summary
Evidence which is anecdotal but nevertheless forms a distinctive epidemiology leads to novel hypotheses for the mechanisms of initial acquisition and transmission of a common cold. These hypotheses lead to predictions for the general epidemiology that seem consistent with existing studies.
These mechanisms predict that:
Contagion is related to prolonged contact or close proximity
Infectiousness increases with severity of symptoms
Each transmission reduces infectiousness thereby limiting spread
Seasonal effects appear spontaneously in a population
There is little to no incubation period
Droplet transmission is irrelevant
The sustained breathing of depleted air causes sickness
The sharing of air in classrooms leads to depletion
The phenomenon of group sickness gives the impression of contagion
Note that one of the main reasons that people believe in contagion is that many people are observed getting sick at the same time. However, here we find that major outbreaks are in fact caused by non-infective agents (atmospheric effects) and that cases of actual transmission have a lesser impact on the overall epidemiology. Unsurprising, then, if there has been some confusion over this issue.
Hypothesis: Living systems are controlled by an electromagnetic bio-field that is responsible for all biological organisation of information, energy and matter. This field takes on the form of energetic vortices which flow through the various conduits provided by the host organism.
The idea can be extended to all natural systems throughout the cosmos and the mechanism can be seen at work in the formation of stars and galaxies, the properties of water, the patterns of weather systems on Earth, the influence of such systems on biological rhythms and even in the induction of disease.
A bio-field regulates at the level of a whole organism and directs energy in a nested vortex system inwards to the organs and thence to the heart of every cell in the body. Even within a cell, energy is again driven inwards towards the nucleus and local vortices are formed around the hexagonal rings of bio-molecules where they act as energy accumulators and transponders at the molecular level.
Vortices form in the insulating myelin sheath around nerve fibres, enabling efficient transmission of arbitrarily large quantities of information at close to the speed of light with minimal loss or corruption. The brain is a series of nested electromagnetic vortices.
A bio-field complex is responsible for the inheritance of phenotype and even of acquired characteristics. Such vortex fields can absorb energy from external sources (heat, Gibbs energy, solar neutrinos, atmospheric discharge) and no doubt were instrumental in the formation of the first living systems.
An energy vortex will ‘want’ to travel and will find a path of least resistance whether it be in space, bio-systems or electrical circuitry. If energy is produced by a chemical reaction, for example in a simple battery, and then presented with an insulated wire, then the conditions are right for the production of an electric current and energy will move from one place to another as directed by the conductivity of the local environment.
Concentration vs dissipation
The idea of an energetic vortex flow together with an ‘accumulation principle’ is in stark contrast to the default world view of essentially dissipative processes which somehow accumulate sufficient energy, information and stability to first create, maintain and then reproduce, a biological organism.
It is worth comparing the two frameworks in general terms and asking which is more propitious for the formation and continuance of ‘life’.
Radial dissipation, big bangs and randomness
We are told that the world began with a Big Bang and that on average all matter is expanding outwards, all the time losing ‘order’, increasing in entropy (disorder) and heading towards an inevitable ‘heat death’.
The main process opposing this is that of gravity which is a simple centripetal force, drawing everything towards a central point. This may be instrumental in the formation of simple spheres in the form of stars and planets this is clearly not sufficient to produce a living organism.
Chemical reactions occur, sometimes driven by ‘heat energy’ but still on an energetically and informationally ‘downward’ slope.
Two molecules or atoms encounter each other by chance and maybe stick together if they happen to have enough energy to do so, but a random coupling is surely not conducive to the construction of a living being. Where did the energy come from to achieve the coupling? Did it accumulate by ‘chance’ again?
In the case where a reaction releases energy, that energy is either radiated outwards as photons or dispersed outwards in the form of ‘heat’. Both processes are dissipative, thermodynamically ‘downhill’ and anathema to the creation and maintenance of an organism that is often said to be ‘far from thermodynamic equilibrium‘.
Somehow within this environment, ‘life’ began; but how?
We are asked to believe that in an environment of random vibrations of molecules and the radial emission of photons at the speed of light, that somehow life emerges; somehow global ‘organisation’ arises from random events with no informational template and no fundamental organisational principle; somehow energy accumulates as a result of processes whose main tendencies are to radiate and dissipate.
Vortex concentration
Consider, in contrast to the above, a default world view where energy has a propensity, not to radiate but instead to form vortex structures where there is a tendency to spiral inwards and to concentrate at some ‘vortex radius’, a small spherical volume of high intensity energy which can be utilised for chemical reactions and other biological necessities.
We immediately have accumulation, instead of dissipation as a fundamental property of the universe, a basis upon which other processes can be built.
One function of the vortex is to serve as an energy accumulator, absorbing energy up to a critical threshold before releasing it in a pulsatile fashion. Another is to assemble molecules, to draw them together and even align them in preparation for an ensuing enzyme reaction fuelled by the energy from the vortex itself.
In addition, a vortex structure will create a field gradient from centre to periphery, providing a variety of environments within which bio-chemical reactions can occur.
As energy spirals inwards, further modulations of the field take place according to local conditions with further concomitant refinements of structure according to the laws of physics. Both energy and information (scalar wave structure) are continually harvested from the electromagnetic environment and are interpreted, sequestered, released and utilised in a way which is determined by existing physical structures.
We already have a system that satisfies a broad definition of ‘life’
The ring vortex
The field is electromagnetic in nature and obeys a set of differential equations formulated by Konstantin Meyl which are really just a tidied up version of the familiar Maxwell-Heaviside equations.
Electric and magnetic components of the field are in a continual state of movement (no static fields) and those movements always at right angles to each other in accordance with the observed laws of Fleming and Faraday.
Given these constraints, the field has a strong tendency to form stable vortex-like structures of various configurations.
Shown here is a ring vortex with electrical field movement shown in pink and an associated magnetic field in yellow. The magnetic field forms a de facto north-south dipole and the electrical component will allow for self-propulsion of the structure under propitious field conditions.
Other patterns such as helical formations are feasible but the ring structure shown is sufficient to explain many observed phenomena.
The magnetic dipole structure is made explicit in this diagram and occurs in a variety of situations. The electric field shown in green provides ‘electrostatic’ repulsion, keeping elements apart from each other, whilst the magnetic dipole in pink helps to attract, organise and align such structures.
This short video shows the development of the nervous system of a zebra fish. A ring vortex accumulates energy from the environment and this is used to either assemble existing matter, or to create it from scratch via biological transmutation before organising it into nervous tissue.
Ring vortices can almost be seen at the developing tip of each nerve. Ask where the energy comes from to sustain this activity and how the development s directed.
The vortex structure sucks in energy from heat, kinetic motion, Gibbs energy and possibly from the solar neutrino stream, all to be concentrated at the ring itself for developmental purposes. Orientation is achieved by the influence of an ambient magnetic field acting upon the dipole structure of the vortex itself; the rings are guided along the correct path by a ‘morphogenic’ field.
Once complete, the neurons will serve as conduits for similar vortices carrying both energy and information around the organism with a high degree of efficiency. The myelin sheath, being an electrical insulator is ideal for the formation of the magnetic component of the vortex and indeed it has been found that the speed of propagation increases precisely when this sheath is thicker. See: Scalar waves and nerves
Cellular organisation
Electromagnetic vortex fields will have a tendency to self-organise into a variety of structures, one of which is a tightly packed cellular structure with an assortment of associated magnetic and electric vortices.
The image below shows an arrangement of such structures found at the surface of the sun. Now clearly biological organisms are much smaller than the sun but the laws of electromagnetism do not make exceptions for scale and are in force at every point in the universe.
We can consider therefore that the cellular structure of a biological system is organised in the first instance by electromagnetic fields and thereafter maintained by the same fields which have been fixed in place by the production of physical matter as with the ring vortices and nerves.
Development and function seem inevitably linked by processes such as this. An early vortex forms an ‘ideal’ shape according to the laws of electromagnetism and then physical matter develops from the vortex energy. The form is then somewhat modulated by the laws of material physics such as fluid pressure and membrane tension etc. to assume a slightly different shape that will sit comfortably within the existing cellular ensemble. Thereafter the vortex field itself is guided by the physical body and performs the duties of energy transfer, information transmission and morphological maintenance.
The origins of Life
There is some evidence to suggest that conditions on early Earth were considerably more electromagnetically active than today and so we can imagine the existence of vortex patterns similar to those of the solar surface (pictured above).
Somewhere in the primordial soup, then, electromagnetic vortices form and stabilise into a cellular ensemble which maintains a constant throughput of energy which may last several millennia. Conditions are stable and varied enough to host the beginnings of pre-biotic ‘life’. Energy is accumulated, matter is concentrated and the first bio-molecules form under this environment.
A common idea is that biological cells are ‘irreducibly complex’ and that a cell is the sum of all the constituent bio-molecules whose creation must precede the creation of the cell. This is a crippling thought and at odds with what is observed.
Bio-molecules in daily life are a product of the cell and not the other way around; the cellular organisation precedes the production of bio-molecules.
Complex molecules emerge from the cell rather than the cell emerging from them. In the vortex scheme described, the cellular structure arises first as a consequence of the laws of physics independently of any physical matter and is followed by the creation of such matter from the intense energies and specific electromagnetic structures present.
Moreover, bio-molecular activity is mediated, not by the molecules themselves, but by the attendant electromagnetic field which gave rise to them in the first place. Development and function are again linked, with the physical form being a concretisation of the original bio-field.
Energy transport
Energy is transported around the organism by a variety of means:
Ring vortices – carry energy from one place to another
Vortex transfer – energy can be transferred from one vortex to another
Heat transfer – this is a form of vortex transfer
Gibbs energy (free energy) – assumed to be thermodynamic in nature but more likely to be organised vortex transfer
Electro-acoustic vibrations – another manifestation of vortex transfer
To get a sense of the behaviour of ring vortices, watch videos of water vortices, smoke rings or plasma rings. Energy is packed into a small volume and moves from one point to another with losses kept to a minimum. The amount of energy transported being somewhat independent of the size of vortex or speed of movement.
Ring vortices can merge together or bifurcate. They will appear wherever the conductive environment is suitable. They can transport energy along existing conduits such as nerves and will create temporary conduits (e.g. microtubules) where necessary, leaving them to be dismantled after use.
Gibbs energy
Gibbs energy or ‘free’ energy is assumed to be thermodynamic and hence dissipative in nature, but at the same time responsible for all manner of reactions which surely require precise accumulation of energy at specific points in the cell.
A better way to think about free energy then is to imagine an environment dominated by a complex vortex structure similar to the solar surface (Fig. 1) where energy is free to move between the vortices in a manner similar to that of a flowing river.
The energy is ‘free’ but organised, it will flow with the vortex structure and will tend to attain some state of dynamic equilibrium. A deficit of energy in one place will soon be remedied as energy flows in from somewhere else but the overall vortex structure will be maintained. Half of the work of energy regulation within living systems is already accomplished at the fundamental base level of physical reality.
The laws of electrodynamics, as opposed to the fantasy of thermodynamics, will prevail and there is an organisation and accumulation of energy as opposed to dissipation and disorder.
ADP/ATP
Prof. Konstantin Meyl presents a good argument to the effect that the rotation of the phosphate groups in ADP is powered by electrical vortex energy. The vortices are present in inhaled oxygen, enter the bloodstream via the lungs and energise the ADP therein.
The ADP travels through the arteries to the capillaries and into the lungs where it is released to provide energy for the mitochondria. There is no need for any gaseous transfer to take place across the lining of the lungs. See: Do we breathe oxygen?
Hexagonal ringmolecules
Again from Konstantin Meyl, comes the idea that the hexagonal structures found on many bio-molecules (chlorophyll) can act as field-energy accumulators. Vortex energy spirals around and is captured by the ring structure to form a strong ring vortex that moves with the molecule.
The vortex will have both electrical and magnetic components, allowing for a variety of possible behaviours.
For bio-chemistry to function as observed, we require some sort of mechanisms to assemble and align molecules, to accumulate energy and to release it as required for reactions to take place.
According to Meyl, there is not sufficient energy in an ultraviolet photon to do what is claimed but what happens instead is that energy accumulates around the ‘head’ of the chlorophyll molecule until some threshold is reached, whereupon it is released and travels to where it is needed. The transport mechanism is so efficient that physicists have assumed some sort of quantum-superconductivity to explain it but it seems that energy transport via ring vortices might be sufficient.
Enzyme reactions
Enzyme reactions are puzzling. Sometimes they react and sometimes they don’t. Reactions in a laboratory are different from reactions in vivo. The application of heat seems to speed up reactions. Sometimes acidity affects the reaction rate.
Hypothesised mechanisms include receptors, binding sites and catalysts but no description of their mechanisms is given in terms of any sort of fundamental laws; what is a receptor made of for example?
For two molecules to bind together some ‘long range’ attractive force is necessary to draw them near to each other along with sufficient energy to overcome some sort of barrier of ‘potential’.
Mainstream theory of kinetic gases has molecules bumping into each other to supply the movement and energy but this doesn’t explain all the effects seen. Van der Waals forces arise from the fixed properties of the atomic structure and should not be varying with the environment.
Hypothesis: Bio-molecules contain hexagonal ring structures which promote the construction of electromagnetic ring vortices. These act both as energy accumulators and magnetic dipoles and add an extra layer of complexity to molecular interaction.
Magnetic forces exert long range attraction, pulling molecules together and orienting them correctly. The potential barrier is overcome and the whole arrangement settles to a new, stable, low-energy state. There is likely some surplus energy now and this simply diffuses away into the general vortex matrix as ‘heat’ or maybe transduces to infrared light.
The application of heat to the system is a way of adding energy to these ring vortices and will speed up reactions in general. A catalyst is a way of introducing both extra energy and additional organisational forces into the reaction. Energy accumulates on the catalyst and is used for the reaction but the molecule stays intact. The catalyst is not physically destroyed but is now a bit low on energy. It will, however, continue to accumulate energy in order to to re-fuel for the next interaction.
Rates of enzyme and other reactions seem to vary considerably with season, lunar cycles and eclipses as recorded by Simon Shnoll and Giorgio Piccardi. These are a hitherto unexplained phenomena.
Energy accumulation is in part from vortex transfer (heat), in part from infra-red absorption and in part from the solar neutrino stream. Neutrino density increases by a huge factor during eclipses and so the effects seen by Shnoll and Piccardi are now to be commonly expected. Stirring a solution is merely a way of adding extra vortex energy by kinetic means.
If the body or cell can control energy input to the reaction then the speed and possibly the ‘nature’ of the reaction can be controlled on a highly localised basis.
This scheme adds an extra layer of complexity to the Van der Waals forces that is actually independent of such forces, decoupled from the atomic structure and whose strength varies over time according to both ambient conditions and cosmic cycles. The addition of magnetic dipoles seems to be an adequate explanation for the mechanism of the various receptors, inhibitors etc.
Protein construction
Proteins are complex molecules with well defined functions in biological systems. Construction is said to be via gene expression and once constructed the completed molecule needs to be folded precisely or else the whole chain is ‘dismantled’ and the whole process starts over. Initial creation is said to be impossible by ‘chance’ thereby giving encouragement to the intelligent design lobby. Some proteins only have a lifespan of about 10 minutes before, again, they are ‘dismantled’.
So many unanswered questions here.
Assume that a protein starts off as some sort of ‘seed’ whether it be a physical molecule or an electrical eddy current (field vortex). Energy spirals inwards from the ambient electric field and adds to the vortex. Amino acids are sucked in or created on the spot from vortex energy. The whole molecule is assembled via the laws of physics, the precise nature of the vortex and the specific mix of ingredients in the local environment.
The completed molecule folds according to a least energy pathway and a complex field vortex forms at the centre. This vortex continues to accumulate energy and acts as a power source for various cellular processes.
The basic function of any bio-molecule is to transduce energy from the ambient vortex field into something that can be used by the other molecules. Energy is absorbed, accumulated, transduced and dissipated.
An incorrectly folded protein may absorb an indefinite amount of energy without sufficient dissipation and will therefore self-destruct. Proteins with short lifespans similarly do not need to be destroyed by the cell itself but will disintegrate when overloaded with energy. If these molecules are to be dismantled by external means then surely some sort of timer is required, meaning an additional complication, an additional mechanism to be explained.
The same may be true of some toxins; they simply continue to accumulate energy until the molecules or even atoms break down completely.
Bio-molecular evolution is hastened by self-selection, meaning that unsuitable molecular chains will self-destruct on the spot and any cellular environment that does not promote and appropriate energy flux will not survive to reproduce anything. There is no need for billions of years of randomness and selection and no process is truly random but always according to the laws of physics and within an environment of a continual flux of vortex energy.
A correctly formed protein will be able to dissipate energy at the same rate at which it is absorbed and it is up to the rest of the cell to make use of this energy in whatever form it is presented. Pulsed energy may be used in enzyme reactions. Enclosing vortex fields may be used for transport of other resources or assistance in maintaining ion gradients. Completed proteins may accumulate further energy and emit more complex structures to be interpreted as ‘information’.
Properties unexplained by molecular structure
An AI engine gives a list of phenomena that are not fully explained by the ordering of atoms within the molecule. They require something else, an electric field of some sort:
Protein folding
Enzyme activity
DNA replication
Delocalisation of electrons
Electrical conductivity
Light absorption
Binding of a drug to a receptor
Recognition of a substrate by an enzyme
Other molecule-specific interactions
Biological transmutation
Louis Kervran (right) performed many experiments showing that the mineral output of many living organisms did not match the input, leading to the inescapable conclusion that living beings are somehow able to transmute elements from one to another according to their own needs.
Chickens raised on land containing no calcium were able to grow, maintain a skeleton and lay eggs with hard shells. The chicks hatching from such eggs contained more calcium than was in the egg in the first place and suffered no health issues. Calcium has been manufactured from some other element.
Manual workers in the Sahara sweated out more potassium than they consumed but the amount was consistent with the volume of sodium ingested, thereby suggesting that they had transmuted elemental sodium into potassium. Energy was sequestered in the new molecule and excreted from the body thereby providing an additional cooling mechanism. Restricting sodium input led to heatstroke.
Whatever the details of the transmutation of elements, such a process is going to need considerable energy and, moreover, that energy must be carefully controlled and localised if it it not going to destroy a whole chicken.
The idea of an electromagnetic vortex fits the requirement (Meyl). Energy accumulates and localises at the centre of the vortex. This energy becomes highly concentrated at a small scale and when individual ions are drawn in to the whirlpool they become destabilised according to the high field strength, thus allowing the splitting apart or joining together of elements at the atomic level.
Blood flow
The book “The Heart and Circulation” by Branko Furst (right) summarises over 100 years of research into the nature of blood flow and concludes that the idea of a heart as a pressure pump is inconsistent with reality. The blood is not pushed around by the heart but instead moves with its own motivational force and according to the metabolic needs of the body.
Nobody has worked out how this happens or where the energy comes from so it is time to go back to the basics of physics and consider how the electromagnetic forces (there are no other) within the blood can somehow be utilised to provide sufficient kinetic energy to maintain a decent flow.
In a paper from Alexander Morozov, ATP and other biological substances were added to water and the solution placed into square channels of various dimensions. The water was seen to self-organise first into a collection of vortices as shown and second into a self-sustaining directional flow along the tube.
Now self-organisation is by the laws of electromagnetism, but there is still the need for a regular supply of energy. Suggestions for sources include:
Popular images show a toroidal electromagnetic field surrounding the body which is measurable for a distance of about five feet away from the body and is assumed to be created by, and emanate from, the heart and other energy centres such as the brain, liver etc. This is hard to verify but sounds ‘likely’.
An electromagnetic field is claimed to be produced by the action of the heart and makes its way largely unscathed through the highly charged mass of muscle and bone to somehow form a torus around the body. The field is so strong as to be measurable several feet away from the body and to be able to affect the heart rate of other people within the proximity.
The heart is already at a temperature close to which its proteins will denature but can cope with manual labour in Sahara heat without cooking and still generate enough spare energy to create such a field.
Alternative hypothesis: The observed external biofield is the organisation of already existing external energy which may radiate or may even spiral inwards towards the body. Energy moves inwards but information moves outwards. The internal bio-field is organised as a general toroidal vortex at all scales. Each cell hosts an electromagnetic vortex and generates its own electric field. Energy moves between the cells in the general pattern of a torus.
Energy can spiral outwards to release excess or can spiral inwards towards various vortex centres (Chakras) as a de facto power supply. Increased muscular exertion increases the energy production, increases energy supply towards the heart and also increases vortex transfer outwards as heat loss.
A field is measured outside of the body and is assumed to be radiating outwards from the heart in accordance with traditional beliefs regarding such fields, but the principles of vortex physics allow for different interpretations.
We live between the twin capacitor plates of the Earth’s surface and our ionosphere and as such are surrounded by a continuous stream of electrical discharge in the form of field vortices. These vortices have a tendency to self-organise into larger (or smaller) vortices and will respond to the presence of a human body the way a river might respond to a small pebble or a frond of weed.
The field surrounding the body may therefore be explained, not by the radiation of a generated bio-field but by the organisation of an existing field according to the presence of the body. This field may be ‘static’ but attached to the body or may actually spiral inwards towards the body, thereby providing an additional energy supply.
Once energy has entered the body it is subject to the highly organised conditions within the body but the general laws of physics still apply. We can envisage the energy flow within the body as comprising a general vortex pattern which moves inwards towards the ‘chakras’ whilst self-organising into a cellular structure within the tissues. Each cell maintains and is maintained by, its own vortex, with the nucleus at the centre. Within this structure forms smaller and smaller energy vortices right down to the scale of an electron, itself an electromagnetic vortex (Meyl – Scalar Waves..).
The heartbeat can be detected in the modulations of the external bio-field, giving the impression that the energy is being emitted from the heart but this is not necessarily the case. It is quite possible for the energy to be actually spiralling inwards towards the body whilst information ripples outwards, using the field itself as a ‘carrier’.
Watch a stable vortex in a stream. The water spirals inwards but toss a pebble near the centre and ripples (information) will still travel outwards, against the vortex flow.
Whatever the requirements of a biological field, it must nevertheless contend with the basic laws of electrodynamics and these necessitate dynamic electromagnetic vortex structures. Energy supply and regulation has vortex movement as its fundamental basis.
The vortex principle
The diagram below comes from the paper: “About vortex physics and vortex losses” from Konstantin Meyl and illustrates the structure of a typical vortex.
Think about a tornado in air or a whirlpool in water. Water spirals inwards to reach a maximum velocity at the vortex radius (shown here as a circle). This radius is clearly visible in the case of a tornado.
Outside the radius, the speed and energy diminish according to some approximate inverse square law shown here as a curve dependent upon ‘R’ (radius).
Konstantin Meyl: About Vortex Physics
Inside the vortex, the energy gradient is linear and again dependent upon radius. Water or air will spin and will want to spiral outwards according to centrifugal force but will be prevented from doing so by the inward spiralling matter.
When the centrifugal force is balanced precisely by the centripetal force a stable dynamic structure forms and is visible as the vortex radius. The velocity at the centre of the vortex is always precisely zero; there is no theoretical possibility here of an infinite singularity such as a big bang or black hole.
If energy could be extracted from the centre of the vortex then that would merely allow for more energy to enter from the outside and presumably the converse would be the case; additional energy would dissipate outwards and again a norm is restored. Strength and stability at the centre are maintained by means of the accretion and dissipation of an effectively inexhaustible energy supply made available to the system by means of centripetal accumulation.
We have an example then of what might be termed ‘order from chaos’. A geometric structure with a self-regulating energy system has been created purely from the laws of physics with no need for any other informational input. The structure is stable to perturbations and yet at the same time mutable and adaptable to environmental forces. This is a contradiction of the general ideas of ‘entropy’ put forth by mainstream science.
A well defined shape with a tendency to accumulate and stabilise energy into a functional gradient is used as the basis for larger self-organising forms i.e. ‘Life’.
The basic vortex above is given by Meyl but more complex structures are known to cosmologists in the form of Birkeland Currents which show multiple concentric layers with alternating clockwise and anti-clockwise flows. [D. Scott]
Scalar waves
Electromagnetic fields can take various forms. Of relevance to biological systems are the magnetic scalar waves as described by Konstantin Meyl and below.
First a reminder of the structure of a ring vortex. In the diagram below an electric field in pink circumnavigates the axis whilst a magnetic field in yellow forms a magnet-like structure with a North-South dipole pointing up and down.
The magnetic field movement here is greater than the electric and so this formation is favoured whenever the magnetic conductivity is more than the electric i.e. in electric insulators.
In the top diagram below, several such structures have aligned along the magnetic dipole field, have self-organised into an even spacing and have merged somewhat to form a longitudinal wave: a scalar wave.
The lower diagram shows how this wave may propagate inside a co-axial cable, a wire with insulating sheath or a nerve with myelin sheath. The ring propagates in the less conductive sheath surrounding the central core.
Konstantin Meyl: Scalar waves: A first Tesla physics textbook
Both energy and information are transmitted by this means, energy by the ‘potential’ of a scalar wave and information by some unknown modulation of its structure. The ring itself represents a potential difference that can be used as energy at the destination.
The regular spacing of the vortices create a de facto ‘frequency’ and the nodes of Ranvier separating the neural axons control the transmission of impulses to create an electromagnetic standing wave akin to a vibrating guitar string.
Transmission of information is now by modulation of a ‘static’ electromagnetic field structure. There is no need for a moving wave structure as with photons and no need for a stream of moving electrons as is assumed for electric currents. A carrier wave has been established but does not travel and transmission of information is not by frequency modulation.
A messaging system has been established where field movement is minimal, resistance is negligible and energy loss is almost zero; we have a kind of biological-informational super-conductivity.
Morphogenesis
The central problem of morphogenesis is how an organism attains its final form merely from the actions of molecules. This is a conundrum and remains so even if we add in all the remaining known laws of physics. Elements are attracted directly towards each other or repelled away from each other, energy is dissipated and entropy increases, but there is no sense of ‘form’, ‘construction’ or ‘stability’ apart from the basic arrangements of atoms and molecules.
The addition of the concept of a vortex makes a huge difference; we now have a basic shape in the form of a sphere or helix, we have an inward and regulated movement of matter and energy and the existence of constructive forces at the molecular level.
A general vortex field will self-assemble into a cellular collective and communication between cells causes the emergence of a local bio-field that can be further organised to create a final form. See: Bio-field emergence
The heart: Helical streams of blood in the heart are instrumental in forming the shape of the heart itself. If the spiral flow is interrupted, the heart will not form. [Lucitti et al]
Cells: Each cell hosts an electromagnetic vortex with the nucleus at the centre. Energy is accumulated until there is sufficient for reproduction to take place. The field at the periphery of a cell, where it meets another vortex has distinctive properties of its own (e.g. large field gradient) which initiate the formation of some sort of membrane.
Red blood cells: The RBC are the embodiment of a torus of electrical vortex flow; the energy field likely preceded the physical shape and acted as a template for its formation. Purcell et al
Vortices are said to form ideally in the proportions of the golden mean (Meyl) and red blood cells are in the same proportion in their healthy state. Deviations from this ideal lead to clumping, Rouleaux formation and impaired zeta potential. Purcell (2)
Nerves: See the zebra fish video above; the nerves develop from the ring vortices that they will eventually conduct.
Arteries: The blood circulates before the arteries emerge, arriving at some least energy route much the same as a river forms its own path to the sea. Thereafter, the flow of the blood forms an enclosing ring vortex and arterial tissue emerges to create the familiar tubular structure.
The brain: is an obvious double torus shape and toroidal fields have been described within.
Fingerprints: The whorls at the end of our fingers look like an emergent effect of some sort of vortex flow.
A physical being then is a refinement of a vortex collective, a teleological modulation of the emergent properties of a vortex field.
Sensory input
The sense of smell: Assumed to be the detection of chemicals in the air, but how does this work? How is molecular detection achieved and how is this converted to a nerve impulse to be transmitted to the brain? The sense of smell is by detection of field vortices (Meyl). Such vortices are produced by the scented material, fly through the air by field propagation and enter the nose. Nasal hairs act as antennae and convert the field disturbances to ring vortices which propagate along the hair to the olfactory nerve and proceed unmodulated to the brain for processing.
The sense of taste: This is similar to the sense of smell except that information enters the small hairs on the tongue (Meyl)
Vision: Photons enter the eye, morph to ring vortices and propagate along the rods and cones. They are filtered for frequency and collated at the optic nerve for further processing before moving along the nerve to the brain.
The binding problem
“The unity of consciousness and (cognitive) binding problem is the problem of how objects, background, and abstract or emotional features are combined into a single experience. The binding problem refers to the overall encoding of our brain circuits for the combination of decisions, actions, and perception.” – Wikipedia
Quite, how are experiences of fundamentally different categories merged together to make a single experience and what is an ‘experience’?
Statements above suggest that the sense of smell is just the input of scalar waves or ring vortices direct to the brain whilst visual impulses are similar structures but modified by the optic nerve. Proprioceptive impulses travel along nerves in the form of scalar waves whilst the geometry and electrical properties of the brain further suggest operation via toroidal electric fields.
Meyl states simply that “the brain is a scalar wave computer” and a stable toroidal ring vortex is surely a good candidate for memory storage, so we have both memory and computation performed by the same structure.
The binding problem is now simplified greatly. We no longer have fundamentally different physical categories of perception to merge together as all perceptual and cognitive information is now in the same format, namely a toroidal electric field complex.
The question is now merely “How do we amalgamate a bunch of ring vortices?”.
One simple answer is to simply push them together. They at least now have the property that such a thing is possible. Again, watch ring vortices in water and you can see them divide into two, merge together, pass through each other or sit side by side whilst maintaining independence from each other.
If olfactory impulses can be somehow labelled as such whilst travelling from the nose and likewise for the other senses then we can imagine that all sensory information can be held on a single vortex structure and interpreted in the brain unambiguously at a later stage.
A single vortex structure holds a single holistic impression and persists as a single memory. The physical vortex can be shrunk to an arbitrarily small size for storage and amplified back up later on for recall.
Defective interpretation (or maybe defective labelling) results in synaesthesia.
The morphology of fruit
Why are fruit the shaped the way that they are? To a large extent an apple, say, is just a bag that expands by filling up with water but that does not explain the presence or location of seeds or the wide variety of shape in other fruits.
The general principles of biological development seem to be:
The basic for development of form is the vortex
Vortices self-organise to form cellular clusters
Emergent properties of such clusters are controlled via a supervening bio-field
Energy is conducted along suitable conduits via ring vortices
In the case of an apple, these principles are easily apparent. Each cell is likely an electromagnetic vortex and these self-assemble into an overall spherical vortex to form the general shape of the apple.
The stalk of the apple is likely wet and conductive on the inside and drier and less conductive on the outside. This is a similar arrangement to an insulated wire or a myelin sheath of a nerve and is ideal for the conduction of ring vortices.
Energy is absorbed in the leaf via the ring molecules of chlorophyll and transmitted alone the conduits of the veins in the leaf in the form of ring vortices. Two such rings meeting at a confluence will easily merge to form a larger, more energetic ring which continues into the leaf stem and eventually to the woody material.
Some energy makes it to the trunk of the tree and is instrumental in raising the sap to heights hitherto unexplained by capillary action alone.
Some energy makes it through the stem of the fruit to enable the necessary production of sugars etc.
An overall vortex flow helps control the shape of the growing apple and some energy discontinuity tells it where to manufacture the tissue to form a skin. Other energy spirals inwards to concentrate at the centre of the apple where the flow breaks down into several smaller vortices to supply the energy and information required for the formation of the seeds.
A strawberry has a clear vortex structure at its centre. Energy is transmitted as a ring vortex along the stalk and then discharged from the cone-like vortex through visible filaments to supply individual seeds with energy.
Similar arguments apply to blackberries etc. where the fruit as a whole can be seen as an energy distribution system, concentrating energy via the vortex principle into the valuable seeds and thereby ensuring a new generation of plants.
As for oranges, compare Meyl’s drawing of the electron shell of Neon with the arrangements of segments in an orange. Electrons are the simplest form of field vortex and have arranged themselves in alternate polarity with clockwise spinning electrons nested between two with anti-clockwise spin.
An even number of electrons is mandatory for stability and with oranges we find that an even number of segments is preferred but not strictly necessary.
Konstantin Meyl
When things ‘go wrong’ with the formation of an orange, we do not see complete chaos but instead a cellular order is preserved. The basic laws of vortex physics are still in force and segmentation still occurs as a foundational phenomenon but has not been organised effectively by the supervening bio-field.
This is more evidence that morphogenesis is accomplished by a subtle ‘tweaking’ of the more basic properties of cellular structures i.e. those that arise out of simple emergence.
The emergent properties are robust and closely aligned to the Laws of Physics. However, they are organised by what might be termed subtle energies whose laws will likely remain a mystery for a long time, as the only effective way to decipher such forces is by observing their effect on the emergent properties of biological systems that they themselves were designed to organise. This is the only environment in which they may gain meaningful expression.
To study morphogenesis then, look for cellular organisation via vortices and study what happens when it goes wrong.
A general principle of biological organisation
The patterns mentioned above seem to be repeated again and again.
A supervening biofield acts, not directly upon the physical matter of the cells but instead on some other emergent field that arises from the self-organisation of the local cellular fields.
The cells themselves emerge from and are maintained by, the forces arising from electromagnetic vortices. It is these strong forces that interact with the biological matter to form physical bonds and tissues.
The fields organising such cells must themselves form an emergent biofield that presents a receptive interface or antenna to higher order fields thereby enabling a top-down organisation to take place.
Connection to the cosmos
We are regulated by electromagnetic vortex fields and we live between the twin capacitor plates of the Earth’s surface and the ionosphere It is therefore pertinent to ask as to the nature of the electric field between these plates. Conventional wisdom declares that a uniform field exists together with a slow steady discharge of electric current.
The image below, however, suggests otherwise. A capacitor has been set up and left to discharge for 40 hours. A circular pattern results, suggesting that the discharge is of a helical nature and that a vortex field exists between the plates. Yializis et al
Meyl: About vortex physics and vortex losses
Scientists mapping data from radio telescopes are starting to find huge electric ring vortices in the atmosphere with ‘footprints’ at the Earth’s surface.
The vortices are part of the Earth’s magnetic field and as such can be expected to follow the same patterns of latitude and seasonality and to respond to solar magnetic disturbances in some way as energy from the sun impacts our magnetosphere and is absorbed, modulated or even amplified by these structures.
Many scientists have found links between cosmic events and biological metrics but have been puzzled as to the mechanism, thinking that somehow the orbits of the moon, Saturn or even Mercury are somehow be affecting life on Earth by exerting a gravitational influence on our constituent atoms.
More likely it is electromagnetic field disturbances which propagate through space, are received by field vortices in our atmosphere acting as antennae and make their way into our regulatory systems.
Frank Brown found that all forms of life would apparently synchronise their activity to rhythmic events in the cosmos but could not work out the mechanism. Various inbuilt phase responders are somehow sensitised to the orbital movements of the planets, will ‘resonate’ in step and will then trigger innate behavioural patterns such as feeding or mating.
Electromagnetic fields were suspected, but Brown’s work seems to be largely neglected by the scientific community, presumably because the lack of a credible mechanism causes them to distrust the actual results. However, the assumption of a structured vortex field regulating the body together with recent discoveries concerning the Earth’s magnetic field now make such phenomena seem completely natural, with only the details to be worked out.
Similarly, Simon Shnoll, Giorgio Piccardi and others found that quantifiable processes in biology, chemistry and physics varied with planetary alignments and phases of the moon.
Such connections to the cosmos are not always beneficial, however..
Implications for health and disease
Many diseases, even heart attacks, show seasonal variations: Seasonal disease. The epidemiology of influenza in particular has been well studied and found to demonstrate strong patterns associated with season, latitude and sudden changes in temperature, humidity and pressure.
This is a strong indication that the Earth’s magnetic field is somehow responsible for influencing the bio-field of the body and thereby contributing to the altered regulatory state that is described as ‘influenza’. See: Influenza and weather
When viewed from the perspective of electric fields, there is no clear separation between the bio-field of a human and that of the surrounding cosmos. Energy and ‘information’ travel seamlessly from the solar surface to the Earth’s magnetosphere and thence to individual organisms via a variety of energetic filaments and vortices.
The activity of such vortices shows stable seasonal and latitudinal patterns that are modulated by local weather events and as a consequence, disease appears in the population at a time and place that is somewhat predictable from meteorological data.
Researchers from NASA found that the appearance of influenza in each state coincided with precise changes in humidity (Serman et al) whilst researchers in India noted a coincidence with the onset of the rainy season (Parvaiz et al) and those in Myanmar found similar associations between dengue and the onset of the monsoon, (Zaw et al).
The influences seem to have little in common but all are expected as a pressure front approaches. Such phenomena are associated with changes in pressure, wind direction, helical updrafts of air and presumably the formation of electromagnetic field currents.
Electromagnetic vortices were set up in some metallic micro-discs and exposed to electromagnetic vibrations. State changes were observed, i.e. measurable changes in an electric field were induced by the application of another electromagnetic field.
So we now have a potentially useful way of measuring certain aspects of electric fields that may not be available to a traditional antenna. Set up an array of these vortices and see if we can measure fine modulations of the atmospheric discharge.
The array is calibrated to be hypersensitive to certain target frequencies but robust to the measurement frequencies. Vortices are set up close to some critical state and micro-changes in the ambient field will cause a sudden phase shift thereby amplifying the signal. Field modulations of arbitrary sensitivity may be set up depending upon the technology used.
Now if such mechanisms are in place in living systems, we have a biological antenna connecting the bio-filed with the cosmos with the capacity to detect arbitrarily weak signals and to amplify them to something meaningful.
Response strength of individual vortices is decoupled from input intensity to some degree by the critical phase shift, but a continuum of response may be available as an emergent statistical property. There is no need here for magnetite particles or similar to effect signal reception as the vortex field itself is the antenna.
The existence of such vortex fields may well be reflected in the physical matter, meaning there may be physical organelles set up which act as receivers, but we will have to know what to look for and how to measure.
The vortex is the transducer and is powered by an inward spiralling of the Gibbs field. Reception is via ‘vortex resonance’ which allows the filtering of selected frequencies.
The idea of magnetoreception by magnetic particles is problematic. A certain strength of signal will be required to move a molecule to a sufficient degree thereby imposing immediate limitations on what can be detected, and what happens then? A particle moves and induces a small (attenuated) change in the surrounding field (even mechanical waves here are really electro-acoustic) and then what? We are back to trying to detect the resulting field changes and now need some sort of antenna to measure them. We are back to square one!
Best to go straight for bio-field modulation and then try to work out the fine structure of such field.
Inheritance
Certainly some information is passed from father to child and so there is a requirement for a transport format for such information.
An electromagnetic ring vortex would seem to fit the bill. The basic structure is highly stable and energetically persistent and scalable. There is a simple method available to merge information from each parent, which is to simply merge the respective vortices. See: Evolution and Inheritance
The phenomenon of Telegony shows that information can be passed without DNA as a vehicle.
The exact encoding scheme of such information is not known but if we reject DNA as a format then we are not now limited to a few giga-bytes of data. There is no minimal quantum of information in electric fields and so a ring vortex can theoretically carry an arbitrarily large amount of analog information.
Summary
A hypothesis has been presented that an energetic bio-field is responsible for the organisation and regulation of many, if not most, biological processes and that this bio-field is in the form of electromagnetic vortices.
The theoretical existence of such vortices is here merely assumed but adequate support can be found in the works of Professor Konstantin Meyl. Some evidence is presented here for the presence of such vortices in the Earth’s atmosphere and in laboratory experiments. (also Peng)
Vortex fields are not ‘directly’ measurable within biological systems using current scientific instruments beyond a crude representation as an electric current. However, existence of such a field is consistent with multiple observable phenomena which are currently unexplained by modern science and whose presence in many cases seems unlikely to be understood in terms of the interactions of molecules alone:
The general organisation of biological systems
Existence of suitable conduits for ring vortices
A requirement for centripetal movement of energy within living systems
Vortices in arterial blood flow
The emergence and self-organisation of cellular masses
A measurable bio-field external to the human body
The efficiency of energy transfer within biological systems
A video of the development of a nervous system from scratch
Obvious vortex patterns reflected in morphology
The hypothesised transmutation of elements from one to another
The recognition that some organisational principle must exist independently of the material it organises and prior to the act of that organisation. This is true for general maintenance, embryonic development and the actual origins of Life.
These phenomena seem adequately explained merely by the recognition of the vortex principle in electromagnetic fields. Aside from this there is no need for additional exotica such as quantum coherent domains, cold vortices, extra dimensions, quantum entanglement, randomly vibrating molecules, multiple universes or separate realms consiting entirley of ‘consciousness’.
There is no need for abstract definitions of disorder as ‘entropy’ or of order as ‘negentropy’ and no need for a formulation of information as separate from the rest of physical space. Indeed, Konstantin Meyl has stated: “Information is the structure of a scalar wave“.
We can look forward to a return to just Plain Old Physics as a way of understanding the physical universe.
Potential vortex, newly discovered properties of the electric field are fundamentally changing our view of the physical world – Konstantin Meyl https://www.meyl.eu/go/indexb830.html
Local modulation of neurofilament phosphorylation, axonal caliber, and slow axonal transport by myelinating Schwann cells – de Waegh, Brady https://pubmed.ncbi.nlm.nih.gov/1371237/
Intracardiac fluid forces are an essential epigenetic factor for embryonic cardiogenesis Authors: Jay R Hove 1, Reinhard W Köster, Arian S Forouhar, Gabriel Acevedo-Bolton, Scott E Fraser, Morteza Gharib https://pubmed.ncbi.nlm.nih.gov/12520305/
The chart below is from the Dissolving Illusions website and shows the decline of most so called ‘infectious’ diseases from 1840 to 1976. All diseases shown were almost extinct before the mass production of penicillin in 1944 and certainly before the first vaccines in 1957.
The vaccines cannot therefore be responsible for the abolition of these diseases, which begs the question: What is responsible?
The answer according to many people now is that these diseases were caused by some sort of poisoning and that improvements in hygiene, sanitation and workplace conditions are what led to the dramatic decline shown.
This cannot be the whole story though.
The mortality rates for scarlet fever in particular show, not a steady decline, but instead huge variations which suddenly settle down circa 1900.
These variations have two outstanding features:
Magnitude: They are of a greater amplitude than the overall average decline
Periodicity: They show clear and regular cycles
These variations are of an order of magnitude that is actually greater over a 3 year period than is achieved in a hundred year average decline. When the variations exceed the actual trend you have a problem!
What is the explanation then for these short term variations? Improvements in hygiene now seem very unlikely; how to explain a coordinated nationwide predisposition for hand-washing that comes and goes every few years? How to explain any influence that has such a cyclic nature?
Sunspot cycles and pandemics
The chart below from Nasirpour et al shows a striking correlation between many assumed infectious diseases and either high or low sunspot activity.
“Regarding the results of this study, we found that sunspots are the main cause of virus generation in the world. This research reveals that the biological and astrophysical mechanisms are related to the generation of world pandemics such as COVID-19.“
So although they still think that these diseases are caused by viral infection, the observed pattern itself is not caused by infectious spread but by the sunspot activity somehow.
Could sunspots cause disease?
First note that many of the disease outbreaks started before the sunspot maximum which tends to suggest that it is not the sunspots per se that are the cause of the outbreaks.
Mainstream wisdom is that sunspots originate from deep within the sun according to some internal process. In this case we may somehow be seeing the effects of this process at the Earth’s surface before they are visibly manifest on the Sun’s surface.
Other cosmologists see the solar cycles driven by external forces in the form of ‘galactic wave sheets’ or some such. Electromagnetic filaments between the Sun and the Earth are responsible for coupling events on Earth with those on the sun. Such filaments harness energy from the wider cosmos and propagate waves along the filament to the Sun at one end and the Earth at the other.
Sometimes effects are seen first at the Sun as solar flares and sometimes they appear as disease on Earth before the solar cycles peak.
These electric currents between the Sun and Earth will have an impact upon our weather and electrical discharge from the ionosphere will disturb the regulatory systems of our bodies thus leading to diseases of an inflammatory nature. See: Influenza and weather
Disease and magnetism
There are quite a few papers describing connections between ‘infectious’ diseases and changes in the Earth’s magnetic field. The assumption of a viral intermediary confuses the issue a bit but the correlations are always there and various mechanisms have been postulated.
This paper from Zaporozhan and Ponomarenko points the finger at altered gene expression and attempts to:
Bring attention to periodicity as a common feature of numerous biological processes and to discuss the nature of corresponding regulatory influences
Show theoretical possibility of bio-regulatory effects of magnetic fields
Outline some signalling pathways capable of implementing bio-regulatory (including genome-regulatory) functions of electromagnetic fields
Summarize our knowledge about Geomagnetic field, its principle parameters and sources of variation
Review possible evidences of regulatory influence of Solar cycles and corresponding Geomagnetic field perturbations on flu epidemic process
Describe probable mechanisms of Solar cycles and Geomagnetic field regulatory influences on virus-host interactions and other biological processes
Connections between the sun and Earth are quite surprising, with statistical correlations between the Earth’s rotation rate and solar activity deep within the sun.
“Not only the minimums of the Earth’s rotation show connections with the solar activity period, but also, as Currie (1973) showed, the rotation rate of the Earth actually correlates with the solar activity!” – Attila Grandpierre
Grandpierre notes that sometimes the change in solar activity comes first and at others it is the Earth’s variations that seem to initiate activity in the sun!
A better explanation surely is that energy accumulates in the solar filaments and propagates along the filament to cause correlated events in both Sun and Earth.
Whatever the origin of these phenomena, it seems to have the power to both cause sunspots and affect the rotational speed of the Earth; this is not a ‘subtle’ energy! From this perspective then, the idea that it could somehow be responsible for causing disease on Earth now seems a little less surprising.
The decline in disease
The chart again:
The peaks in the mortality rates for scarlet fever look to be about 5 and a half years apart, i.e. half a sunspot cycle. Now given the strong association between other diseases and sunspots, why should it not be that these cycles are also the result of electromagnetic disturbances?
Moreover, if such an explanation should be found sufficient for the larger variations in mortality then why is there any need of a separate explanation for the general decrease of mortality rates over the century? Something about the cosmos has settled down over the last century or so and the health of humanity has improved as a consequence.
The idea that the observed decline is largely to do with ‘space weather’ will seem like nonsense to many, but if it is supported by the data then it must at least be considered plausible.
Revealing the relationship between solar activity and COVID-19 and forecasting of possible future viruses using multi-step autoregression (MSAR) – Nasirpour et al https://pmc.ncbi.nlm.nih.gov/articles/PMC7961325/
Mechanisms of Geomagnetic Field Influence on Gene Expression Using Influenza as a Model System: Basics of Physical Epidemiology – Valeriy Zaporozhan, Andriy Ponomarenko https://www.mdpi.com/1660-4601/7/3/938
Exosomes are commonly described as “nanoscale particles formed by a lipid bilayer that encapsulates and carries a biologically active cargo of proteins, lipids, RNA and DNA.“
It has been suggested that these particles are what mainstream science is mistakenly identifying as ‘virus’ particles. After all, they are described in a similar way, look the same, have similar structure and are purported to be the carriers of biological-information via RNA strands.
They have been described as ‘cellular debris’ ie the result of cellular breakdown but at the same time many think they have the function of preserving resources by transportation to another cell. This is slightly contradictory maybe. The phrase ‘cellular breakdown’ suggests an increase of disorder but the preserving of resources sounds more like a transformation of order, a ‘managed decline’ where information and energy is not destroyed but merely redistributed to somewhere else.
They are asserted by the mainstream to be a highly functional part of normal cellular activity, are capable of the ‘transfection’ that the virologists use to support the idea of a virus and have been proposed as the basis for a whole bunch of new gene therapies.
How is such a thing constructed? What is their function? What is their relationship to influenza and gene sequencing? What might be their relationship to vortex physics, solar filaments and energy conservation?
Hypothesis
The nucleus of an exosome is an energy vortex arising within the cell. Because of the ‘concentration principle’ the vortex continues to accumulate energy until it has sufficient to manifest some RNA ‘out of the nothing’ as claimed by Stefan Lanka.
The RNA continues to continues to promote a vortex structure and a new ‘vortex radius’ (a sphere of high energy) is created, Energy accumulates at the radius and is used for the construction of the lipid bilayer whereupon the exosome is complete. It can now be transported out of the cell and either into another cell or simply excreted as observed.
Information transfer within biological systems is via electromagnetic scalar waves. The exosome arises from such a structure; it needs both energy and information for its own construction.
If too much energy should arise within the cell then that energy needs to be expelled, it needs to go somewhere else. Exosome production is a neat solution for this; the energy is packed up in a scalar wave hosted by the RNA and ejected, possibly to be reused in another cell. The construction and transport of an exosome necessarily results in a net loss of energy for the cell, there is no getting around this.
Exosomes are described as ‘biologically active’ but what makes a piece of RNA ‘active’? If the core of an exosome is now a vortex field then this field has built in energy, an intrinsic propensity to ‘move’ to have some effect in a biological system. The word ‘active’ is fully justified in this case.
It is the structure of this vortex, the information held within it, that causes the manufacture of the physical particle and so there arises the possibility that a similarly structured vortex could enter from the outside and that this would trigger the construction process. This is the basis of ‘transfection’ which seems to ‘spread’ the exosomes a bit but doesn’t seem to lead to any systemic disease.
The vortex principle of energy management
The basic laws of electromagnetism mandate that ‘field energy’ will rotate in a circular fashion and will have a tendency to form various helical, toroidal or vortex-like structures. Energy at a distance from a vortex will spiral inwards and a concentration will occur at the vortex radius.
Energy is always available at a vortex centre for various tasks. Classical biology has energy as essentially dissipative and prone to disorder but this makes it very difficult to even imagine what goes on in a cell from an organisational perspective.
The vortex principle starts with a constant flow of energy as a given, with accumulation at various points within the cell. This is the basic flow that the cell has available to it and ‘life’ can be considered as consisting of relatively minor modulations of this general structure.
Energy spirals in from ‘afar’ so there is always a sufficient quantity but if there is too much energy then the excess needs to be dissipated against the vortex flow. The physical movement of RNA away from the cell is but one way to do this and because of the continual inward flow, there is always enough energy around to accomplish this.
Try imagining this the other way around and you just can’t do it. If energy is generally scattered all over the place in a radial fashion and you run out of it then how are you going to refuel? You have no energy left to move anything around or somehow ‘place an order’ for more! You are left with an energy void, a thermodynamic heat death.
The inward spiralling vortex is a necessity from this point of view.
What is influenza?
Influenza is the influence of seasonal variations in the Earth’s magnetic field. The field is twisted into helical structures which discharge from our atmosphere towards the ground. Small body hairs act as antenna and conduct the vortex into the body where it flows around under its own energy along sympathetic conduits.
Flu vortices do not belong in the cells but end up there anyhow and commence to accumulate energy. Exosomes are the result and are excreted. The creation and expulsion of so much tissue necessitates a net energy loss resulting in fatigue and dysfunction at least.
Exosome RNA is sequenced and imagined be viral RNA.
Exosomes and their RNA are therefore associated strongly with influenza but the disease is not transmissible from human to human and it is not the physical RNA that causes the initial problems but the electromagnetic vortex information. The RNA is a result of the energetic disturbance and not the cause.
Caveat: Things are probably not quite this simple and there are likely extra layers of complexity:
Field vortices are likely modified on entering the body either through the skin or body hairs
All input to the body is ‘interpreted’ to some degree and this allows for immunity effects
At some point with influenza a critical point is reached and a systemic reaction takes place which produces the familiar fever etc.
Transfection
The mechanism of transfection is now explained as an active tunnelling of the vortices from one cell to another. This is not so credible with RNA as it has no ‘agency’ of its own. It has no motive energy, cannot reproduce and so cannot be considered to be ‘active’ as described.
This paper raises the possibility that virus particles can be produced by the vibration of cells at certain frequencies which create hexagonal structures similar to the alleged shape of the virus. Reinterpretation: scalar waves produced as artefacts of the 5G antenna are responsible for the creation of exosomes.
Sunspots and covid
Revealing the relationship between solar activity and COVID-19 and forecasting of possible future viruses using multi-step autoregression (MSAR) – Nasirpour et al https://pmc.ncbi.nlm.nih.gov/articles/PMC7961325
“Regarding the results of this study, we found that sunspots are the main cause of virus generation in the world.
This research reveals that the biological and astrophysical mechanisms are related to the generation of world pandemics such as COVID-19.”
Anti-Aging by longitudinal magnetic waves: A new approach by modulating ATP-Levels – Schnabl, Schnabl, Meyl
Introduction of scalar waves into plants slows ageing via the promotion of ATP production. ‘Imprinting’ of the waves with different plant sources shows variable results indicating the transfer of ‘information’ from one to the other.
The input of electromagnetic energy has had a direct causal effect on cellular processes.
Fred Hoyle and Chandra Wickramasinghe examined the epidemioloy of flu and decided that:
a) It was not contagious b) It was somehow linked to meteorological events c) It could be described as being caused by ‘virions’ from space
A virion according to the authors is some sort of particle that can enter the population and cause the production of flu ‘virus’ within the body. This resulting virus would lead to disease but was not transmissible person to person; only the original virion can cause disease and this comes from space.
The virion is now clearly a field vortex which explains:
Why the flu is not contagious
Why they never found such a thing
How it is produced not in space but in the atmosphere
Association with weather events
The thing that causes the disease (virion-vortex) is not the same as the thing used for diagnosis (exosome-virus)
If influenza is something to do with an excess of field vortices and the mechanism of grounding is the expulsion of field vortices then it might just be the case that an acute state of influenza could be alleviated or even cured by the practice of grounding (earthing).
From the paper: “Earthing or grounding might have significant impact in the management of patients with COVID-19. The main complications of the illness are hypoxemia, coagulopathy, inflammation, and immune defect which endanger the patient’s life. All these complications could be relieved by earthing without the deleterious side effects of the drugs and without cost as well.
It is advised to perform sufficient and regular earthing for at least 40 minutes daily for prevention or treatment of COVID-19 infection. Earthing could be applied at any stage of the illness although earlier is better. It is more effective when conducted on wet muddy earth type. It might be effective for other respiratory viral infections such as influenza.”
Reiteration
Solar activity creates powerful electromagnetic activity which is transmitted to the Earth via helical filaments and impacts upon our ionosphere to somehow result in characteristic seasonal and latitudinal patterns in our atmosphere. The resulting vortices enter the human body where they cause all sorts of trouble but are eventually ejected or neutralised via exosome production or other methods.
The observations of the virologists are not ignored or invalidated but given a new interpretation in terms of scalar wave activity. Such activity being something they can never observe directly as they don’t have the instruments, and are unlikely to infer as it involves theories of electromagnetism which lie outside of most text books.
The original claims of the no-virus movement still hold and a putative mechanism has now been suggested to account for exosome production and its immediate connection to meteorological events.
Postscript: Construction via vortex
Exosomes are described above as arising within the cell from cellular processes whereupon they migrate outwards across the cell membrane.
Considerations of a biological system as being dominated by an electrical bio-field comprising a collection of vortices arranged in a cellular fashion, however, allows for a slightly different interpretation.
In this formulation, a cell is coincident with a vortex field with the nucleus at the centre. Energy accumulates both at the centre and the periphery of the cell leading to much activity at both these places.
Vortex movement at the edge of the cell encounters contra-rotating fields from the other cells and smaller vortices form. The energy from these vortices is used to create the main body of the exosome and further vortex ‘turbulence’ around the particle now forms even smaller vortices which form the familiar ‘corona’.
In this version of events, the formation of exosomes (viruses?) is very closely related to the laws of electromagnetism, with the familiar shapes arising from the natural organisation of electric fields as opposed to a teleological aim of the cell itself.
The cell isn’t packing up resources as it deteriorates and nor is it responding to instructions from a virus. All that is happening is that too much or mis-managed energy has resulted in the formation of out-of-place vortices which will tend naturally to construct biological artefacts from available material.
This should not be too surprising because this is the basic principle of Life itself!
Sir Charles Herbert Stuart-Harris (19091996) wrote a book: Influenza and other viruses of the respiratory tract. Stuart-Harris believed that influenza was caused by a virus but Chapter 6. Epidemiology of influenza is extremely interesting and provides plenty of evidence that it is not even contagious let alone caused by a ‘virus’.
The page Influenza and weather puts forth the hypothesis that influenza is not caused by a virus at all but instead is the result of a destabilised bio-regulation which is in turn caused by electromagnetic disturbances in the atmosphere. The data and arguments presented by Stuart-Harris were not collected with this hypothesis in mind and so cannot be said to be biased towards it.
It is interesting therefore to compare this hypothesis with the comments from Sir Charles concerning the observed epidemiology.
Chapter 6: The epidemiology of influenza
“Historically, influenza has been recognised by its power of rapid dispersion throughout the population of whole countries and by the explosive character of its epidemics. Yet, small localised outbreaks with little tendency to spread outside of the affected community have long been known to occur, nor has the individual epidemic feature of influenza invariably been explosive.”
This is the opening paragraph of the chapter, the words chosen by the author himself to summarise his findings. Although he still believes in a viral cause, his priority is to emphasise the puzzling nature of the epidemiology with respect to the idea of contagion.
Sudden increase in 1890
“.. there was an apparent lull amounting almost to extinction of the disease in the period just before 1890. Then in 1890, the pandemic caused a sharp rise in the level of prevalence, and incidence has remained ever since at a higher level than before 1890. Super-imposed on the base-line of inter-epidemic incidence, periodic outbreaks have occurred every two to three years and this periodicity has continued up to the present.“
Almost extinction
Time and again we hear from researchers that influenza ‘vanishes’ from the population at least in certain areas (whole cities!) and always needs to be replenished from ‘elsewhere’.
Fortunate for the virus that it never really disappears from ‘elsewhere’ or it would surely go extinct. Also fortunate that once it gets going again there is always someone to infect all of a sudden or else, again, extinction.
We are asked to believe that the survival of the virus is a matter of chance, a statistical coincidence. Maybe this is credible in the modern world of travel and high population density, but a hundred and fifty years ago? Really?
Q: Why does the virus frequently become almost extinct but never in human history has become actually extinct?
A: Because influenza is caused by field disturbances in the atmosphere. The nature and strength of these disturbances vary slightly from year to year and even if the whole world went a year without flu, it would surely return the following season or the next.
Sudden rise in 1890
This has been attributed by Arthur Firstenburg in his book The Invisible Rainbow to the effects of the installation of domestic electricity, with power lines initially laid out over the roofs of terraced houses.
Very possibly. Flu seems to be caused by disturbances from the atmosphere to an electromagnetic bio-field that serves as the master regulatory system for the human body. One possibility is that the electric field from the power cables is affecting this on a long term basis and adding a chronic weakness to the system and another is that the electric field is somehow modulating the annual flu influence, making it more lethal.
Two to three year cycles
“Super-imposed on the base-line of inter-epidemic incidence, periodic outbreaks have occurred every two to three years and this periodicity has continued up to the present.“
This is similar to the epidemiology of measles. See: Measles.
It is not obvious how this happens on a global scale with an infectious pathogen. The disease is seasonal but with variations. This certainly does not rule out the hypothesis that it is the Earth’s magnetic field that is the cause but does not prove it either.
Watching YouTube videos from the Thunderbolts project (Solar filaments and you) it seems that electromagnetic disturbances on Earth are caused by spiral filaments extending all the way from the Sun and these are measurable to a certain degree.
The filaments end at the surface of the Earth where they are manifest in the topsoil as telluric currents. In between the Sun and Earth they are subject to the influences of all of the other planets thereby resulting in all sorts of odd rhythms and synchrony with other planetary orbits.
There is something to test here, if the correct measurements are made there should be some correlation between influenza outbreaks and the activity associated with these filaments.
Disappearance and sporadic outbreaks
“The pattern of prevalence which has emerged from these national statistics has been that of somewhat irregular periodicity both of influenza A and B, with almost complete disappearance of the virus in between outbreaks.“
“Sufficient evidence of sporadic case occurrences exists, however, for it to be said that the virus is not entirely extinct. But, from an incidence only detected by large-scale surveys, the virus infection develops into an explosive outbreak, without any apparent increasing steps of increasing prevalence“
So again the disappearance of the disease is noted and yet it still returns. Use of the word ‘sporadic’ only serves to highlight the fact that these outbreaks are without and apparent cause. Where was the virus dwelling before it became sporadic?
The virus seems to survive between outbreaks but this is almost by definition a time when there is no obvious chain of infection; the incidence of disease is so low (“almost complete disappearance”) that there is little chance of a diseased person meeting a ‘susceptible’.
An explosive outbreak occurs without any obvious preamble and then disappears equally abruptly.
All this is explained by encounters with field filaments which are abundant during flu season but are restricted geographically and with a random element super-imposed upon these patterns to target individuals in or out of season.
The origin and spread of epidemics.
“The second theory concerning the persistence and spread of human influenza is that the virus exists by a continual case-to-case transmission. This presupposes that there is always an outbreak of influenza somewhere in the world and that as influenza dies out in one country, it develops anew in another area.”
Why this presupposition and why does it wait to die out in one place before developing anew in another area? This phenomenon is better described by the idea of an external influence that sweeps across the face of the planet, leaving a trail of sick people in its wake.
Again and again we see that the evidence is not suggestive of a continually transmitting virus and that extra assumptions must to be made to accommodate the idea.
“Yet the major outbreak of influenza A in the USA, Canada and Great Britain in November 1943 appeared to involve geographically remote areas almost simultaneously, and too rapidly for any chain of infection to have occurred”
This is because no infection has occurred and instead the disease is caused by a global collective of field currents that switch on and off according to season, latitude and geographical location.
“One fact established already is that spread of infection from one area or country to another often appears to occur by direct geographical contiguity rather than along lines of communication such as afford a more rapid chance of infection. Yet in rural areas the importance of infection can often be attributed to a particular individual. Pickles quotes the case of the school in Wensleydale which in 1937 suffered an explosive outbreak of influenza forty-eight hours after a schoolmistress returned from a town. No other cases were present in the town at the time. The schoolmistress herself suffered only a mild attack but it was highly probable (Why?) that she was responsible for introducing the virus into the school.”
Again, not suggestive of infection but instead consistent with a moving field vortex that does not respect lines of communication but descends upon the planet according to its own whims, sometimes moving across the surface and at others disappearing from one location only to pop up a hundred miles distant.
Disease as a distinctive regulatory ‘state’
On a severe local outbreak: “Secondly, the infection appeared to exhaust the capacity of the human herd to respond clinically to other ailments and the epidemiological record carries no instance of any other infectious disease during a period of weeks.”
A truly astonishing sentence. Flu seems to confer immunity (of diseases other than flu) not only upon those who suffer from it but also everybody else in the vicinity!
My assertion is that the disease called influenza is the result of an altered regulatory pattern that mainstream medicine identifies as the ‘immune response’. This regulatory disturbance encompasses the whole of the organism and orchestrates all the symptoms experienced for about five days before returning to normal homeostasis.
There is evidence (Measles) that other ‘infectious’ diseases are of a similar nature, showing typical seasonal and geographic patterns.
From this point of view then it seems obvious that a person cannot be in two different regulatory states at the same time and therefore that they are unlikely to display symptoms of two different regulatory diseases simultaneously.
The paragraph quoted goes much further than this though, asserting that even those who escaped the ravages of the disease are somehow not succumbing to other disturbances.
Now this makes sense if there is a close correspondence between disease states and magnetic conditions. The precise conditions needed for each distinct disease are also distinct and hence if it is flu season then it is not measles season; the magnetic field itself cannot be in two different states at once.
‘Immunity‘
“Both these villages suffered relatively more severely from influenza during the previous influenza A outbreak in 1933.“
Reading literature on ‘immunity’ it seems that in general, the regulatory system will recognise antipathetic stimuli and remember them. Quite often we see that upon a second exposure to a field disturbance, the body will respond differently, sometimes with more resilience and sometimes with an increased sensitivity; a disease takes on the aspect of an ‘allergy’.
Reference is made to the “variable incidence of influenza during one and the same epidemic in similar but separated isolated communities” such as boarding schools and army barracks. “There is no apparent reason why a particular school should suffer intensely and a neighbouring one should escape lightly..”
Because the ‘strength’ of the field disturbance is different at each locale and because the local populations have been exposed to slightly different stimuli over the past few years; they have had different immunological training.
Even the individuals who did not get ill were exposed to the disturbances and have therefor had an opportunity to adapt somewhat.
Associations with other diseases
“Apart, however, from the mortality of pneumonia, which may frequently be ascribed to influenza as the primary cause, deaths from all causes rise during an influenza epidemic. Thus deaths attributed to heart disease and to pulmonary tuberculosis both increase if the influenza epidemic is severe.“
Although other so called infectious diseases seem to disappear, there are many correlations in modern literature between influenza and heart attacks, with researchers invariably concluding that a heart attack is somehow a caused by the influenza virus or of the consequent bio-chemical changes within the body.
To be considered though is the possibility that both flu and heart attacks have the same root cause, which is to say a dysfunction of the bio-field triggered by the magnetic field conditions.
The heart may look like a large robust muscle which is not going to be too upset at a change in the weather, but the heart is not a pump and the blood largely flows by itself, controlled by an electromagnetic bio-field. The power for the flow begins in the capillary beds and is fuelled ultimately by electro-magnetism.
The whole system therefore is arguably susceptible to destabilisation by any similar disturbances from the atmosphere or from man made electro-smog. A heart attack here is not a problem of blockage but a problem of an altered regulation; this time of blood flow.
‘Sporadic’ cases and testing failures
“It is true that among the cases of acute respiratory disease occurring endemically in the population at all seasons of the year and in years when outbreaks of influenza do not occur, there are always some cases which could be diagnosed clinically as cases of influenza. Yet these almost invariably give negative results when tested either directly or serologically for evidence of influenza virus.”
If we can only have positive tests during an electromagnetic disturbance then the idea that the tests themselves are affected directly by such field changes should surely be considered at least?
“Moreover, an occasional case of influenza A or B is detected during an outbreak in which nearly all the other cases are serologically positive for the other virus infection. Such experiences have frequently been recorded and are again evidence that influenza can exist as a sporadic case. However, the occurrence of a series of sporadic cases is no presage of an outbreak within a short space of time.“
This is not really indicative of a viral cause. However, Harris continues: “Its meaning is that the virus is still alive in lean times, when the level of immunity is too high for rapid transfer of infection from one susceptible to another.“
Ok, so how did the virus create the sporadic case? It must have come from somewhere! Viruses need to spread in order to survive and if they aren’t spreading then they are becoming extinct.
Consider the famous ‘R’ number, the average infection rate. What value does this number have out of season when there is no epidemic activity? A value greater than 1 implies a spreading disease, an increase in the number of cases and an increase in the ‘R’ number itself. However a value of less than 1 implies imminent extinction for the virus; cases are diminishing and they are diminishing at an increasing rate. To have an ‘R’ number of exactly 1 throughout summer is just not credible.
Viruses cannot survive the summer period, ergo they do not exist.
Summary
All of the observations cited tend to support the idea that influenza is not contagious but that it ‘descends’ upon the population every winter in stereotypical patterns, both seasonal and geographical.
I had not read this paper when I formulated the hypothesis of field vortices so it is a somewhat independent test of the idea. Stuart-Harris himself clearly is a believer in viruses and so is not cherry-picking his facts in my favour.
Frank Arthur Brown Jr. (1908–1983) looked at the connection between biological activity and ‘cosmic events’. Correlations were found in all manner of organisms between a variety of metrics and a variety of cyclic events such as diurnal rhythms, lunar cycles and the variations in temperature and light.
Synchronisation between organisms and cosmic events
Synchronisation between organisms a great distance apart
Cosmic cycles entrain endogenous phase-setters
The main drivers are temperature and light
Some cycles have no obvious physical cause
Phase correlation with amplitude inversion is seen
Correlation with atmospheric pressure even when kept at constant pressure
Independence of metabolic rate and clock mechanism
‘Horizontal’ communication between organisms (maybe..)
Laboratory experiments confirm the electromagnetic nature of stimuli
Internal clock mechanisms rely on external input for pace setting
“A zeitgeber is an external or environmental cue that synchronizes an organism’s biological rhythms with its environment. The word comes from German and literally means ‘time giver’“. – Science direct
No internal clocks
It has long been known that the body maintains a collection of very precise rhythms by which it regulates biological processes. The assumption being that it is the body itself that powers a set of clock-like processes which merely need to be entrained to external triggers to ensure synchrony with the environment.
Frank Concluded that this simply isn’t true. What is happening is that the body maintains a set of phase-responders which respond to external stimuli, producing the cycles which are observed. The difference is that with this setup, the influence of external events is necessary for the continuation of the bio-rhythms and without this influence there would be no cyclic activity and presumably no ‘life’.
“The usual concept of the organism within its rhythmic physical environment must now be supplemented by a concept of the rhythmic physical environment steadily contributing to the internal environment of the organism.
No clear boundary exists between the organism’s metabolically maintained electromagnetic fields and those of its geophysical environment. In terms of the hypothesis for biological clocks that has been presented here, the clocks themselves, being environmentally dependent, possess high mean precision. It is suggested that the peculiar properties and activities of the organism’s natural phase-shifting mechanism have been responsible for the long held but probably erroneous notion that an independent internal clock system is present.” – Frank Brown
So there is no active clock as such within living organisms, but a set of passive internal pacemakers which entrain to external stimuli in a resonant fashion and the resulting cycles are used to trigger inherited behavioural programs such as feeding, mating hibernating etc.
“Indeed, from this start, it seems quite probable that every other property of the rhythms, known or still unknown, can be accounted for by the appropriate elaboration of the external timer hypothesis.” – Brown
Independence of metabolism
Surely one of the more important discoveries of Frank Brown is the apparent fact that the frequency of the internal cycles is independent of the metabolic rate of the organism.
The main drivers of bio-rhythms are variations in temperature and light but the heating of subjects or the administration of drugs to speed up metabolism did nothing to alter the rate at which the internal pacemakers operated.
“Organisms behave as if they were accurate, or moderately accurate, clocks or tremendous batteries of clocks whose rhythmic cycles are normally integrated into a characteristic phase-map complex. The periods of the clock-timed rhythms appear to be heavily compensated for, or independent of, temperature and to virtually every chemical substance that can influence reaction rates in organisms.” – Brown
So there is a component of biological activity that is independent of biochemistry, independent of what we can physically observe happening in the body.
Conclusion: The ’cause’ of a clock-like process is not a chemical reaction or mechanical process but the interplay between the environmental cycles and some electromagnetic bio-field acting as an antenna. There are no other plausible candidates known to science.
Disease as a regulatory disorder
“No clear boundary exists between the organism’s metabolically maintained electromagnetic fields and those of its geophysical environment.” – Brown
So Frank thinks that the electromagnetic fields are maintained by metabolic processes and yet function independently of them. Possibly, but we can also consider that there exists an almost self-sustaining etheric body that is not only regulated but also powered to some degree by energy from the environment. This would include solar neutrinos and electrical (vortex) discharge from the ionosphere.
With this setup then, it is easy to conceive of diseases such as flu and measles as temporary regulatory disorders produced by either a weakening of, or a disturbance in, the external pace-setters.
Evidence for this is provided by: a strong statistical correlation between weather events and the onset of such diseases, a documented relationship between both physical and electrical ‘weather’, the close coupling of organism and environment described above and the obvious regulatory nature of these disease processes: Influenza and weather – Measles
Water absorption of beans
A handful of beans was placed in a jar of water and the amount of water remaining was measured at timed intervals to give a record of the rate of water uptake. Different strains of beans were used and different spatial arrangements were tried, with some jars placed at a distance and some placed in pairs etc.
The results were extremely interesting indeed.
The top chart shows the water absorption rate of two bean collections at 70 cm apart. There is clearly a synchrony between the two; either they are both subject to the same external influence, they are communicating with each other or both at the same time.
The second chart shows results from a bean sample in a separate laboratory. A near identical pattern is observed thereby suggesting that all these samples are dancing to the same tune, they are driven by some unseen cosmic orchestration which is ultimately controlling the rate of uptake of water.
The bottom line of the chart shows the uptake rate for two groups of beans in close proximity on rotating tables, first clockwise (solid line) and next anti-clockwise (dotted line).
The overall trend is similar to the earlier experiments but Brown notes an interesting feature; there are frequent and temporary inversions of activity whereby a sudden increase in activity of one set of beans is accompanied by a decrease in activity of the other sample that matches the first in both timing and magnitude.
What could account for this? It is almost as if there were competition for a limited resource and it is first one and then the other of the bean pots that is the recipient of the necessary impulse.
Odd phase relationships
Another chart from the book compares the deviation from the mean uptake of water of two bean groups separated by some distance from each other.
In the top graph we see that the two samples are positively correlated, meaning that the higher the uptake of one, the higher the uptake of the other. This gain suggests that the two samples are somehow synchronised across time.
But look at the second chart!
The greater the deviation from the mean of one sample the less the deviation from the other sample. This again suggests that there is perhaps some stream of regulatory information which is of limited supply and that the more it is accessed by one beanpot then the less accessible it becomes for the other.
The sudden ‘flipping’ of the chart above suggesting either that the information stream is not shared evenly between the beans or that the beans themselves are behaving differently in a way that is coordinated both within and between samples.
The interpretation from Frank Brown involves actual communication between the bean samples: “If this sign-changing capacity exists for an organism and, in this instance, for a small cluster of beans then it would appear from the present observations that each of the members of the paired samples of beans, even when present in separate glass or plastic containers, can somehow be influenced by a very weak electromagnetic field produced by the other. By some means, the adoption of a ‘positive’ state in one member of a pair must under some circumstances bias the other member of the pair within their mutual field to adopt the ‘negative’ state.” – Page 457
Possibly, but consider the patterns created by plasma discharge in the video below.
The discharge stream flows from the centre to the surrounding sphere where it entrains somewhat to a particular spot which shows up as a glowing circle. The exact location of discharge varies locally and the spot itself will move slowly across the sphere. The discharge position is stable to the spot location but ‘random’ within the spot radius.
Consider then that the source of the Earth’s electric discharge comes ultimately from the sun, impacts our ionosphere and discharges to the ground in similar patterns to what we see in the video. The overall patterns are regular and seasonal and will also correlate with latitude.
This corresponds with the patterns we see in the experiments of Frank Brown but also with the epidemiology of influenza as studied by various researchers: Influenza and weather
Bearing this in mind then we can imagine a terrestrial magnetic field that exerts a top-down causality on biological systems, that is correlated with the seasons and is able to modulate fine grained influences down to the scale of a pot of beans. If this is so then direct ‘communication’ between beans may not be a necessary assumption. Instead, the state of a bean colony may trigger a phase change in the local magnetic field itself, causing it to flip to an adjacent pot or something similar.
Rather than regarding the external timing mechanism as immutably periodic, the addition of attractor-like properties may explain complexity we see. Some of the assumed complexity attributed to the organism is now apportioned to the environment itself.
Influenza epidemiology
The behaviour of the beans is reminiscent of the epidemiology of influenza. It may be imagined that individuals living in a densely populated area will be more susceptible to influenza during an outbreak but in fact the opposite is true, with those living in rural areas more likely to succumb to the disease.
Influenza is likely caused by electromagnetic discharge from the atmosphere (Influenza and weather) and it is as if there is a limited amount of energy to go around so that if you are in a large city it may well be that somebody else is the recipient of the ‘lightning’ strike and you are given a free pass for the year.
Global synchronisation
“Parallel and concurrent variations in bean samples as widely separated as Woods Hole, Massachusetts and Evanston, Illinois, suggest wide geographic scope of at least one of the major effective subtle parameters.” – Frank Brown
Correlation with atmospheric pressure
The metabolism of all living things (Brown) will fluctuate in synchrony with barometric pressure even when they are kept in a pressure controlled environment:
“It should be emphasized that while exhibiting their pressure correlations the organisms themselves are being maintained under constant pressure, and hence that pressure and the well-known solar and lunar tides of the atmosphere cannot be the immediately effective factor for the organisms. But of tremendous import for the clock problem is the fact that of the several species of plants and animals already studied in our laboratory, all exhibit the same kind of metabolic correlation with the same specific barometric pressure parameters. This has been shown to be true throughout the gamut of living things, from algae to vertebrates.” – Frank Brown
The oyster experiment
Oysters moved from the coast to an inland station still synchronised to the phases of the moon even in the absence of tide or visible light:
“Oysters transported in light-proof containers from their habitat in New Haven harbour to pans of sea water in a photographic darkroom in Evanston, Ill., gradually re-phased their rhythm of shell-opening over a 2-week period from the exact lunar-day time of high tide in New Haven harbour to the exact times of lunar zenith and nadir at Evanston, Ill, the theoretical time of high tides in Illinois were there a coastline. This new phase relationship then remained unchanged through a full month during which the study was continued.” – Frank Brown
Phase inversions
There are many cases of phase inversions within or between species. An organism may display maximum activity at full moon and minimal activity during a new moon, giving a good statistical correlation between activity and visible light.
This may change however with maximum activity now being displayed at new moon and vice-versa thus leading to a negative correlation.
These phenomena cannot therefore be studied by simple statistical correlation as the correlation shifts with time and between colonies of animals. This is further evidence should any be needed that what is on display is some coupling of resonant systems, both biological and meteorological.
“The mean monthly patterns of the snails through the five-year span of this study tended significantly to display a common bimodal form with minima occurring between new moon and first quarter and between full moon and third quarter, However, for some measured parameters, or at certain times, a monthly pattern for the snails was registered which was negatively correlated, with high statistical significance, with the more typical one, Minima and maxima had exchanged places.
“Inversion of geo-physically dependent patterns including both lunar day and monthly ones has been reported between different species, within a single species at different times, and even concurrently within ,a single species under slightly different experimental conditions (Brown, 1960; Brown and Chow, 1973, 1976), Such inversions comprise a phenomenon which is probably commonplace, It is postulated that the inverting tendency reflects the organisms’ sign and strength of response to an effective atmospheric factor which is capable of being altered, even tipped between positive and negative. with changing physiological state of the organism and by effects of other uncontrolled, or imposed, environmental conditions.
“Indeed the sign has been described to differ between one portion of a lunar or solar cycle and another” – Frank Brown
So what is going on?
We have, in the most abstract form:
Some sort of rhythmic influence in the atmosphere
A selection of internal pace-setters or resonators
A mechanism for entrainment (synchrony) between the two
Inherited behavioural patterns (e.g. feeding) that are triggered by the pace setters (not by the atmospheric influences directly)
Or, as Frank Brown puts it:
First, there is the development of inherited recurring patterns linked to one or another of the geophysical cycles.
Second, there is the development of a phase-response system and adaptive resettability of the rhythms by relevant environmental stimuli, including dominantly the light and temperature cycles.
Third, with the phase lability of the rhythms and their peculiar phase-response activity complex, free-running cycles slightly modified in period by differing light and temperature levels, as well as influences of genetics and some chemicals, are rationally explained as effects on auto-phasing or of systematic phase drifting relative to the natural exogenous cycles.
The inherited rhythms, once developed in the individual, adaptively become capable of a labile phase relationship with the publicly timed clock cycles. They can be phase displaced to any degree in response to light cycles or other zeitgeber. Such changes follow geographical translocations, or altered artificial light-dark schedules in the laboratory.
Phase shifting by light
Once a rhythm is established it can be fine tuned or phase shifted by alterations in visible light:
“Under the hypothesis of auto-phasing it is postulated that the organism uses its daily rhythmic fluctuation in sensitivity to light to effect a daily shift in its phase relations relative to its environmentally imposed 24-hour periodicity. The manner of action, in general terms, would be as follows: The organism reaching a “light-sensitive” phase in its daily cycle, and encountering the illumination of a constantly luminated environment, would be given a shifting stimulus whose strength, within limits, would be a function of the level of the illumination. Though physically the light is held constant, in stimulative effectiveness for the organism it is rhythmic as a consequence of rhythms in the organism’s own responsiveness.”
New science is needed
Classical science cannot explain the observations:
“Indeed, major concepts of biology have commonly arisen from observation and induction, rather than by deduction from what is known. Efforts in postulation of hypotheses and deducing tests for them may never lead to the correct answers if the hypotheses are rooted in established ones which are not relevant to the problem at hand. The clocks of life appear to demand an admission of ignorance about a lower level of organization of life.” – Frank Brown
The problem of ‘measurement’
If the precise mechanisms are unknown then how can we be sure that our (often rhythmic) laboratory conditions are not responsible for some of the effects we see?
“The quantitative, and often even qualitative, character of results may be in part determined by uncontrolled factors even as subtle as the proximity of other individuals of the same, or possibly even different species as well as by time within the not widely acknowledged relatively predictable solar and lunar circadian cycles, and monthly and annual ones. Less predictable variations associated with movements of weather systems, and fluctuations in solar activity may also be expected to impose significant influences.
“And not least, the existence of the phenomenon indicates that we are operating within the range of a biological “uncertainty principle.” There is now clear reason to presume that the uses of modern methods, facilities and equipment for making precise measurement of diverse parameters in living systems exert of themselves an influence upon the system being measured. an influence effected by the invariable and characteristic weak accompanying alterations in electromagnetic fields produced by these. Biological processes will reflect in their measured values the methods and conditions under which the measurements are made, and the differences may be substantial.” – Brown
The bean controls its own rate of water absorption
“The nature of the phenomenon for beans is of such character that it appears probable that the living embryo within the dried seed possesses the capacity to regulate to a substantial degree the rate of water absorption by the seed upon its submergence.“- Frank Brown
[We should not rule out the possibility that it is the seed itself that controls its own water supply at the cellular level. How would the embryo exert control over what happens at a billion molecules distance?]
Summary
Frank Brown discovered that a large part of the information that is essential for healthy regulation lies outside of the Human body in the form of some sort of electromagnetic field. The pace-setters within the body adopt a flexible coupling with this field and are therefore of an electromagnetic nature themselves.
The resulting rhythms are independent of metabolic rate and so ultimately independent of the physical substance of the body. An effective bio-field therefore acts as a receiver and interpreter for the cosmic rhythms, each of which will be assigned an inherited pattern of behaviour.
The response of biology to these influences is all pervasive, complex and meaningful., and transcends mere ‘correlation’. These results give plausibility to the idea that disease is a result of cosmic influences whilst adding confounding factors to laboratory ‘control’ experiments.
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.
Credit: Michael Shay and University of Delaware
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 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.
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
“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
“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.”
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
“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
This page looks at several interesting papers on the epidemiology of measles and influenza and tries to make sense of them. Cases dramatically decreased before the vaccine rollout. Modern measles is not a childhood disease and outbreaks are correlated with weather conditions.
This paper from epidemiologist Bryan Grenfell shows some very interesting features in the epidemiology of measles, A ‘wavelet’ model is created that characterises the UK data as a series of wave-packets that originate from the large cities and spread out over the rest of the country,
Further computer modelling shows how various features of the wave model can be explained by human-to-human transmission driven by population dynamics and seasonal forcing.
The wave patterns are quite surprising, are not obviously connected to the seasons and are not consistent with the idea that measles is the immediate result of a poisoning event.
This paper is a good example of why mathematical modelling is sometimes necessary and how it can give insights into the underlying structure of noisy data.
London measles cases 1944 – 2000
The chart shows the “Wavelet time series analysis for the log-transformed weekly London measles time series” – so the data has already been manipulated somehow.
Several interesting and surprising features are immediately apparent.
The chart starts with an apparent seasonal variation which, by 1950, has transformed into a biennial pattern with strong peaks every two years and a ‘mini’ peak in between the main peaks. The peaks are very well defined.
After 1970 the absolute number of cases declines and the biennial pattern degenerates into just ‘noise’.
Varying time period
Somewhat surprisingly for such a sharply defined pattern, the period is not actually tied to the seasons and is not precisely biennial. Instead, mathematical analysis suggests a period of slightly larger than two years that, even so, varies as time progresses; see the blue line below.
The red line shows the onset of vaccination programs and this is assumed to somehow affect the biennial rhythm.
Phase differences between cities
The modified data from three cities, London, Norwich and Lincoln are plotted on the same chart and we immediately see that measles in the three cities peaks in different years and at different times of the year.
In addition to this, the blue peaks (Lincoln), at first out of step with the other cities, are perfectly synchronised by 1990.
Modelling the data as a flexible wave function
Data such as the above are not expressible as a single mathematical equation and so are not amenable to statistical analysis. What is needed is a further abstraction of the data in order to somehow obtain a quantitative analysis of these phenomena.
The illustration below shows (top chart) the data modelled as a set of ‘flexible’ waves and we can now clearly see a striking pattern, that of three wave functions having no initial phase relation gradually and smoothly attaining a perfect synchrony.
Note that in 1951 the black and red have perfect phase-alignment with each other but are completely in opposition to the blue line of Norwich.
The bottom chart shows the calculated phase difference between Cambridge and Norwich and between Cambridge and London. The averages are non-zero and differ from each other but eventually achieve synchrony in 1962 before starting to diverge again.
Spreading from major cities
The illustration shows the phase difference of disease incidence relative to London.
Measles outbreaks that start in London will radiate outwards from the capital city at a rate of about 5km per week, with the rate of travel depending upon local population densities. The pattern is clear for a radius of about 30km around London with ‘randomness’ in rural areas eventually dominating.
Similar ‘spreading’ patterns exist with all the major cities with things being less clear in the North-East where the proximity of several large cities leads to interference patterns in the spreading waves.
A transmission model
Grenfell does not make the claim that these data prove contagion, rather contagion is assumed and the task of the paper is to try to explain the characteristics of the data in terms of transmission parameters.
Measles epidemics are self-limiting and will subside when all ‘susceptibles’ (children) gain immunity
‘Extinction’ events occur in rural areas when the disease dies out for lack of new victims
Disease remains ‘endemic’ in larger cities and replenishes the surroundings with virus on an approximately biennial basis when there are enough new children
What is effectively random transmission between individuals will form stable attractor patterns at the population level and it is these that are manifest in the data
Phase-locking between attractors along with seasonal forcing gives rise to synchrony between cities and an apparent underlying rhythm
The decline of measles after the introduction of vaccine programs is assumed to be because of those vaccination programs
Concerns and questions
Seasonal forcing
The stated importance of seasonal forcing seems at odds with the model which at no time shows a precise biennial pattern, which varies across time and is different for each city.
“Because epidemics do not suffer local extinction, and because all the cities experience the same seasonal forcing, no lags are generated.” – Grenfell
“The task is aided by epidemiological models, which capture both the nonlinear dynamics of childhood epidemics as a function of local population size and the impact of significant environmental forcing. This forcing mainly comprises seasonality in transmission, due to schooling patterns, and longer-term variations in susceptible recruitment, due to birth-rate variations and the onset of vaccination” – Grenfell et al
The saw-tooth shape of an epidemic
The paper concentrates on modelling epidemics as waves and therefore does not address the issue of the characteristic ‘saw-tooth’ shape of the epidemics.
Other authors have commented upon this with respect to influenza. We expect from an epidemic that the initial increase in cases is rapid and follows an exponential curve and that thereafter a rounded peak will be reached and a long decline will ensue. The tail end of the curve is expected to stretch out as the disease finds fewer and fewer people to infect.
What we see instead is a very sharp peak that is followed by a decline that is much faster than the initial rise in cases.
Extinction events
The virus is said to disappear from rural areas in between epidemics but to be replenished from the big cities in time for a new outbreak, meaning the survival of the virus depends upon the specific population densities and behaviours. The question then arises: “How did measles survive before modern population densities, primary schools and contemporary commuter habits?”
Measles is ‘endemic’ in large cities
“In the large town, measles is endemic throughout the interepidemic trough, so that a new epidemic occurs as soon as the effective reproductive ratio of infection exceeds unity; this threshold is determined by the accumulation of susceptible children, modified by seasonally varying transmission rates associated with the school year.
“By contrast, in the small town, infection goes extinct locally after an epidemic; therefore, another epidemic cannot happen until an infective `spark’ is received, generally originating in a larger (endemic) community.” – Grenfell
What does it mean to say that measles is ‘endemic’?
Standard transmission models
The graph below shows the outcome of a basic epidemiological model.
Cases (red) initially show a rapid (exponential) increase in numbers as the infection spreads to more and more susceptible individuals. As the number of susceptible individuals reduces so the increase diminishes but still infections remain high as there are still plenty of ‘spreaders’ around.
Source: Benji Tigg
As the number of spreaders starts to wane and the number of susceptibles continues to diminish, the curve takes a steeper downturn and infections decline rapidly.
In computer models such as this a long ‘tail’ is produced as, although new infections are declining rapidly, there is a large pool of infected individuals remaining.
This hides what is really happening which is that contact with an affected individual is becoming increasingly and rapidly unlikely. Take a look at the number of susceptibles; it declines rapidly as soon as the epidemic starts and reaches almost zero even whilst cases are still near their peak.
We have, at peak number of infections, only 0.2 infected people per 1000 which means 2 cases per 10,000 – and the disease is still being passed on somehow!
Even so, the model is assuming a perfect mixing of the population and within this model there is always a non zero probability of a sick person making a transmission to a healthy. In practice I think this would not be the case and that instead there would be a very sharp decline in new cases once the proportion of infected individuals reached some threshold, below which transmission simply did not occur.
‘Non-epidemic’ activity
This then is a glaring weakness in the transmission theory, that the number of susceptible individuals decreases to almost zero during an epidemic and yet must somehow remain above zero for another two years to spark off the next epidemic.
A spreading virus is only able to stay alive by actually spreading and once the effective reproduction rate is below one, it is declining rapidly.
To make any sense of this, modellers must somehow keep the virus alive and yet not spreading during interim periods and so will add some other mode of survival to allow for this:
“We then fit a seasonal regression model to the truncated series to estimate the expected baseline number of deaths in the absence of epidemic activity. A nonepidemic threshold was defined by the upper limit of the 95% confidence interval derived from the seasonal regression model. Only influenza activities that remained above the threshold for >2 consecutive weeks were included in the analysis” – Viboud et al
So there is now something called ‘non-epidemic’ activity for influenza which keeps the virus alive somehow even though there is no measurable spread. In the case of measles, lifetime immunity is claimed which further reduces the possibility of spread in between epidemics.
Without this ‘fix’ to the models there would surely be very many extinction events even in population dense areas.
The decline in measles
The chart shows measles deaths from 1900 to 1960. A strong rhythmic pattern with a period of about 3 years is seen, along with a marked decline, almost to the point of extinction, before vaccines were introduced after 1960.
The vaccines therefore cannot be the cause of the decline in deaths.
Note that these data are averaged over a whole nation so we don’t have the geographical refinement of the Grenfell paper but if we take all these results at face value we have a disease showing an approximate three year cycle that, as global incidence declines, diminishes to a two year cycle, followed by a one year cycle and eventual disintegration of structure into mere ‘noise’.
What produces this? Do Bruce Grenfell’s attractor patterns extend to the whole of the United States as well?
Modern measles age distribution
The chart below from Muscat et al suggests that measles can no longer be considered a disease of childhood.
Seasonality
Measles is seasonal in many countries particularly in the spring:
Modelling seasonal measles transmission in China – Bai, Liu
Measles and the weather
The effects of weather conditions on measles incidence in Guangzhou, Southern China – Yang et al
“The morbidity of measles shows a seasonal variation. In temperate climates, measles outbreaks typically occur in the late winter and early spring every year, whereas in the tropics, measles outbreaks have irregular associations with rainy seasons, which suggests that climatic factors partly underlie the seasonality of measles virus infections.” – Yang et al
Compare with the epidemiology of influenza:
“Influenza seasonality indicates that New Delhi would likely benefit from springtime vaccination (May–June), whereas vaccination in the fall (October–November) would be better for Srinagar. We recently illustrated that India and most other tropical countries in Asia exhibit influenza seasonality that coincides with the monsoon season, June–October” – Koul et al
The charts from Yang et. al. show an increase in measles cases correlated with:
Low humidity
High sunshine
Moderate temperatures
Other researchers have found correlations with both season and specific local weather events:
“Specific meteorological conditions increased the risk of measles, including lower relative humidity, temperature, and atmospheric pressure; higher wind velocity, sunshine duration, and diurnal temperature variation” – Jia et al
“The team discovered a strong and consistent annual pattern of measles outbreaks that was associated with rainfall. Specifically, they found that the rainy season was associated with a lower risk of measles case reporting, whereas measles cases were higher during the dry season.” – Blake et al
“The analysis revealed that there is a statistically significant relationship between weather parameters (Temperature and Rainfall) and the occurrence of measles in the study area.” – Alhaji et al
Cosmic influences on humans, animals and plants – JT Burns This book is an annotated list of studies on the correlations between planetary movements and biological events on Earth. Several hundred papers and books are summarised. Measles is not mentioned.
Cosmic events include solar flares, lunar tides, eclipses, strength of Earth’s magnetic field, planetary orbits, planetary alignments and oppositions.
Biological events range from measured chemical reactions to behaviours of individuals include epidemics, admissions to mental hospitals, car accidents, metabolite levels, birth defects, the shape of leaf buds, rate of water uptake in seedlings, blood clotting parameters, blot tests etc.
The brain, nervous system and embryo seem to particularly sensitive to such influences with personalities seemingly affected by the month of conception (more likely than birth date surely?).
A lot of the correlations seem crazy (the thyroid activity of cats is related to the orbit of Mercury for example) and some have been ‘debunked’.
Many researchers tried experiments in Faraday cages or in deep underground caverns. Often some reduction of effect was observed but rarely was it eliminated. Both electric eddy currents and magnetic potential currents seem implicated then with a Faraday cage providing some protection from the former but not the latter.
So what are the causes?
Viral transmission?
Unlikely:
Attempts to transmit any disease in a clinical trial invariably fail
Isolation techniques are highly contested
Computer models need ‘tweaking’ to get plausible results
The need to add a seasonal factor to models suggests a seasonal influence
The possibility of extinction events seems too high for virus survival
The characteristics of the epidemiology seem too structured for random transmission
Poisoning?
Again unlikely: How to explain the epidemiology?
Annual crop spraying or vaccination schedules might just explain how toxin administration is coordinated over a whole country but it isn’t strictly seasonal and ‘drifts’ from year to year. The epidemiology is complex and has patterns that are both local and global.
Cosmic influences?
To most people this will seem the most unlikely of all, but what else is left?
The epidemiology needs explaining and here we at least have a chance of correlating disease with ‘something’ although at the moment it isn’t even clear what that ‘something’ is.
I doesn’t seem credible that the planet Saturn can have a direct influence on biological processes but more likely that various electrical events in the cosmos can and do have an influence and that these phenomena may well correlate with planetary alignments and solar activity.
These patterns, with seasonal variation and local coincidences with weather events are similar to those seen in the epidemiology of influenza. See here: Influenza and weather
Hypothesis
Population wide biological events are triggered by electromagnetic activity as opposed to gravity and that filaments of such energy pervade the solar system, emanate largely from the sun, connect the sun, planets and moons and will move, interact and intertwine as the planets orbit the sun.
If this is true then certain events and patterns are explained that are not expected from gravitational influence alone. Filament interaction will be roughly rhythmic but with various deviations.
We could expect:
Roughly seasonal effects but with various ‘harmonics’.
The observed ‘effect’ on Earth may precede the supposed ’cause’ (eg solar flare) because both of these are caused by a third and unsuspected phenomenon.
‘Influences’ of two or more planetary orbits may interact in a complicated way.
Odd phase shifting phenomena may be seen
Correlations may appear consistent for decades and then disappear, either suddenly or gradually.
Random and sudden events seemingly unrelated to planetary motion.
Absent or inverted dose-response relationship (weak stimulus seems to give strong response etc.)
Relationships which seem outstanding to the eye but disappear upon statistical analysis.
The last above is because it is the wrong things that they are trying to correlate and because the ’causes’ themselves may be only quasi-periodic. The Earth’s rotation speed is not quite constant and solar cycles also vary in length in an unpredictable fashion. Many periodic influences from the solar system are in any case filtered through our ionosphere and weather system which have local rhythms of their own.
All these patterns above are described in the book by J.T. Burns and many are seen in the epidemiology of measles and flu. Many cannot be explained by conventional means so the idea of electromagnetic filaments stands as the most likely explanation for now.
It sounds like almost any pattern of disease outbreak may be possible and that the hypothesis is therefore unfalsifiable. This may well be true at the moment but the hope is that a more detailed understanding of the electromagnetic nature of biology and the electromagnetic activity in the cosmos will some day give something concrete to test against.
This page looks at the epidemiology of influenza and asks if it is not somehow related to the newly discovered phenomenon of magnetic potential vortices. The idea is that at certain times of the year there is an increased likelihood of structured electromagnetic discharge from the ionosphere that is somehow causing outbreaks.
The epidemiology of flu demonstrates several outstanding and well documented features that need some explaining:
Seasonality with sharp peaks at winter solstice
Latitudinal correlation of outbreaks
Hemispherical correlation – an epidemic in the Northern hemisphere is followed by an epidemic in the Southern hemisphere
Tropical outbreaks – in both summer and winter
Local outbreaks independent of population density
Seasonality The chart shows deaths from influenza and pneumonia. The seasonal accuracy is striking, with peak deaths occurring close to winter solstice and the ‘base rate’ in summer remaining at a constant level.
This sort of phenomenon cannot be caused by light or temperature levels as these vary from year to year and vary greatly according to latitude.
What is happening is that the health of the population has become entrained somehow to the seasonal rhythm and is for some reason more susceptible to disease at mid winter. A not unreasonable hypothesis is that this resonant entrainment is in response to some feature of the Earth’s magnetic field as this will be independent of both temperature and light levels.
Correlations with day length or humidity are from this point of view, illusory.
Latitudinal synchrony. This chart from the Fred Hoyle paper Viruses from Space (originally from Hope-Simpson) shows influenza rates in Prague and in Cirencester, UK. They both lie on the same latitude and both show remarkably similar patterns. Other studies support this pattern.
Note that in the winter of 1973-73, the peak rates are delayed past solstice in both places by the same amount. This suggests that it is maybe not the population that is directly attuned to the seasons but rather that some other cause is responsible for the flu and it is this phenomenon that is itself strongly seasonal but is capable of variation
The attack rates of influenza in Prague and Cirencester(Hope-Simpson)
A departure from solstice is seen and it is consistent along a line of latitude.
Magnetic field vortices. Shown is a mini tornado, a vortex of spinning air that can form seemingly out of nowhere and vanish when sufficient energy has been dissipated. The physics of Konstantin Meyl allows for such vortices, not only in the physical substance of the air but also in the magnetic field of the Earth itself.
The surface of the Earth and the ionosphere form two capacitor plates with a potential difference of about 200 000 volts and classical physics allows for a discharge between the two as either a steady slow current spread out over the whole planet or a sudden violent discharge in the form of lightning during a storm.
The newly formulated equations from Konstantin Meyl however allow for instabilities in the field to form vortex currents and to discharge much in the same way as the mini-tornado.
Corona discharge. Such vortices can be seen in an extreme version as corona discharge coming from protuberances on power lines but there isn’t any reason why somewhat subtler energies should not discharge in an invisible and apparently harmless manner from ionosphere to ground.
Tropical outbreaks are discernible in the data from the Hope-Simpson paper. It appears that influenza is sensitive to what must be a very small stimulus so either the population is resonating to the seasons or some other intermediary is doing the job.
Outbreaks in the tropics are in both summer and winter solstices. Smaller outbreaks also occur outside of the tropics at other times of year.
These seem like harmonics. The ionosphere is resonating somehow like a large electromagnetic bell with a fundamental frequency of one year and harmonics at six month and three month intervals.
Hemispherical correlation. Another chart, again from Hope-Simpson, shows the coincidence of an ‘epidemic’ in the Northern Hemisphere followed by a similar feature six months later in the Southern.
Viral transmission – not credible
Solar effect in the north waits for six months and re-emerges in the south – not particularly credible
Again this looks like an annual effect of some atmospheric resonance. A standing wave of some sort is present and effects apparent on one side of the planet are seen on the other side at a 180° phase difference without necessarily passing through intermediate points.
Videos of resonating membranes and balloons help visualise what might be happening with the ionosphere. The (1,1) mode right shows a standing wave developing with large amplitude at each ‘pole’ and smaller amplitude within the tropics (centre).
This is the basic mode for resonating waves and superpositions of higher degree harmonics on top of this can explain the finer grained seasonal effects. Note that the Earth’s physical and magnetic bodies do not form a simple symmetric system like a balloon. The physical and magnetic poles are not in the same place, the Earth is at an angle and is spinning with respect to its own orbit around the sun.
The ionosphere is not necessarily vibrating with a physical amplitude but rather a variation of magnetic characteristics.
Local outbreaks of flu were studied by Fred Hoyle and summarised here: The HART group model. It is easy to think that if flu tends to occur in localised groups that it must be infectious but the data studied by Hoyle not only did not support this view but actually ruled it out.
The outbreaks were localised but were scattered in a fashion that was random with respect to location and random with respect to the population density. Hoyle believed in some sort of viral cause and so reached the only conclusion he could which was that the virions had come from outer space and were only available during winter because of the location of the Earth within the solar system.
Time to consider localised magnetic vortices instead.
The hypothesis of this page then is that:
Magnetic potential vortices are responsible for influenza outbreaks.
Such vortices can be as thin as a pencil beam or as wide as a cruise ship
They will cause about 10% of the affected population to succumb to flu
They are more prevalent in winter
They are produced by some magnetic instability that respects latitude
They are not easily measurable by scientific instruments
They can pass straight through the roof of a building
Anecdotes of entire families or hospital wards getting flu at the same time now make sense; they were all in the same room at the same time or went out on a walk together and had their regulatory systems disturbed by the same magnetic field discharge.
Do such vortices exist?
Images of magnetic vortices have now been created from data produced by radio telescopes.
In this video Cleo Loi explains the process and shows what appear to be the upper half of magnetic ring vortices in the atmosphere which organise ionised gas particles (plasma) into the shapes seen.
Now if these magnetic field patterns show some seasonal variation and latitudinal affinity then they are surely a good candidate for the initial cause of the processes described above.
Man made radiation. There is much evidence to show that proximity to cell-phone towers increases the risk of chronic diseases such as cancer but can also trigger episodes of influenza; so much so that Soviet scientists labelled the disease ‘radio wave sickness’. [link]
Konstantin Meyl is claiming that it is not the radio waves themselves that are having biological effects but rather the scalar waves )potential vortices) that are emitted as an artefact and are measured as ‘noise’ by scientific instruments.
Much circumstantial evidence points to magnetic vortices as responsible for biological organisation and Meyl has stated simply that ‘the brain is a scalar wave computer’.
This then accounts for the sickness resulting from cell-phone towers and also for the confusion created when performing studies. They are measuring the wrong thing, and getting inconsistent results; they are measuring the transverse radio waves instead of the longitudinal.
Pneumonia Why is influenza associated with pneumonia and why does the one seem to transform into the other? Why does pneumonia seem to happen mostly in hospitals and why is it not infectious? Why do diseases seem to get worse as more patients are added to a crowded ward?
Pneumonia is characterised by a deterioration and eventual necrosis of lung tissue followed by a bacterial proliferation which serves the purpose of removing the dead tissue.
The lungs gave a lot of work to do which makes them somewhat sensitive to energy or oxygen deficit. They must maintain two separate blood circulations, one to collect oxygen from the inhaled air and another to supply oxygen to the lung tissue itself.
The blood moves around the capillaries powered by scalar waves (Blood flow and scalar waves) and this movement serves as the one of the main powerhouses for the circulation to the whole body.
Heart rate and hence blood flow are reduced immediately upon posture departing from the vertical (The Heart and Circulation) and so lying in a hospital bed is already reducing oxygen to all parts of the body. Not a good healing state.
Meyl has stated that atmospheric moisture contains stored energy in the form of scalar waves and that this energy can be released into the lungs upon inhalation. Scalar waves can continue to absorb energy from solar neutrinos and can release it in various forms:
Movement aiding the flow of blood
Materialisation of electrons
Transmutation of other elements (?)
The release of oxygen into the blood by the splitting of H2O
So a vulnerable person succumbs to flu one winter, feels dreadful and is admitted to hospital as a precaution. The windows are closed and they are breathing air that has been depleted by other patients and possibly re-cycled via an air conditioning system, They are lying horizontal which reduces circulation automatically and therefore deprives the body of oxygen and the blood of its locomotive force. In addition to this they are very likely surrounded by various electronic devices emitting an unholy mixture of microwaves and magnetic vortices.
The lungs have been deprived of oxygen and energy, the tissue is stressed to breaking point and pneumonia ensues.
Florence Nightingale said that as patients were added to a ward, it wasn’t that new diseases emerged but that existing diseases got worse. We can now give a reason for this and also to give some explanation for legionnaire’s disease; the recycling of air by whatever means is leading to a dangerous lack of scalar vortex energy.
Summary
The hypothesis outlined above is somewhat speculative but there is good evidence for each of the separate parts.
An explanation for the epidemiology of influenza is a necessity for any hypothetical mechanism and this rules out a virus as a cause. The idea of magnetic discharge from the ionosphere however is consistent with population data and there are documented mechanisms for causing disease: EMF and Biology
Questions as to how the effects of 5G ,for example, can mimic an assumed seasonal viral disorder are now answered by saying that the symptoms are the same because the cause is the same and hence the disease is also the same in each case. It is a bio-regulatory disturbance caused by magnetic potential vortices of some form or another.
The HART group gives some interesting arguments as to why they are rejecting the idea that viruses do not exist. One is a flawed statistical argument and others are observations of genome sequences. None of this explains the epidemiology. This page shows why they are wrong and suggests an alternative model for influenza outbreaks.
The statistical argument is listed at number 1 and is tackled first. The screenshot below is from their website
Note that it is number 1 on their list.
Not everybody got sick as part of an outbreak and that number of people is considered “significant“
People who shared the same environment got sick at the same time – consider then an environmental cause or trigger
The majority of sufferers were part of an “outbreak” i.e. an event where many people got sick.
If an outbreak is defined as a large number of people getting sick at the same time then it isn’t surprising, given the population distribution in a city, that the majority of sick people got sick as part of an outbreak.
Shown here is a city grid of equal sized squares where some squares are densely populated and others not so. This sort of situation is ideal for studying epidemiology if only decent data were available. We can look at how many people in each cell got ill and try to correlate it with population density.
First imagine that some non-infectious pathogen is introduced into some of the cells on a completely random basis. Think of toxic gas being released, 5G death rays maybe or some sort of bio-energy beamed down from space.
We would see then that the chance of a cell showing disease in any of its residents is unrelated to the population of the cell so that a sparsely populated cell is as likely to show disease as one containing many occupants.
In this case then, disease would be correlated to location and since the release of a toxin into a densely populated cell would result in many people being sick we would see in the overall population that the majority of sick people would necessarily come from cells where there were many other sick people.
This is really just saying that the majority of people in a city come from population-dense areas.
This much is obvious. It is also precisely what is described in point 1 of the HART group’s statement above. They even attribute the illness to “having shared the same environment” as opposed to “having been with other sick people“.
Now let us fantasise about infection. If this were possible then we would expect that infection would spread more effectively in densely populated areas. We would also expect an increased likelihood of seeing disease in these areas as there are many more people to introduce the pathogen into the grid square from elsewhere.
Statistical analysis should then show a correlation between cell population and the occurrence of disease in that cell. Recall that in the first case, cells get affected at random and there was no correlation with population density; a 5G death tower does not know how many people there are living nearby.
There is the possibility then that an infection model can be proved or disproved merely by looking at some statistics.
If only somebody had thought to collect some data..
Fred Hoyle (1915-2001) was an astronomer and statistician who looked at the epidemiology of flu by studying incidence of the disease in English public (boarding) schools. Some pupils will board at the school and be in contact with each other 24-7 whilst others will go home at weekends or evenings. [paper]
All these schools have children of the same age groups, eat similar food, are subjected to the same harsh exercise regimen and engage in stereotypical social contact. Schools themselves are organised into ‘houses’ and dormitories, giving a controlled structure to the possible transmission routes.
These are ideal conditions to study incidence of influenza. Hoyle looked at epidemiological patterns as described above and found that, for example, a dormitory full of boys was as likely to demonstrate influenza as a solitary boy sleeping at home with his parents.
Hoyle believed in viruses but still concluded:
Person to person transmission is ruled out as a significant cause of the disease.
The overwhelming cause of the disease comes from ‘elsewhere’.
Low level outbreaks occur completely at random and unconnected to each other.
Larger outbreaks occur in geographical clusters which vary in size from a whole school and its environs to a single dormitory or part thereof.
A virus is ruled out as the actual cause.
Viruses are manufactured within the body in response to an external trigger.
The external trigger is some kind of ‘virion’ that comes from outer space.
[The results do not indicate food poisoning or collective detox.]
The chart below shows that population influenza is best modelled by a simple gaussian distribution with a mean around winter solstice and a 90% interval of only a few weeks.
Observations must be explained and the ‘viral model’ does not explain the epidemiology.
The members of the HART group know this and know that transmission studies have failed, but are still sticking to their model because: “The virus model explains all of the above in a way that no other proposed model can (yet).“
Other individuals have complained of a lack of a better alternative and that viruses are ‘still the best explanation‘ for what they are seeing.
Again, from the HART group: “Scientists form a model that best explains the majority of the evidence. ” So we need to explain the epidemiology.
A statistical model:
Seasonal incidence: Outside of the tropics, populations will succumb to influenza in the two weeks either side of winter solstice
Latitudinal patterns: Finer grained structure is seen along lines of similar latitude (Hoyle and others)
Local outbreaks are delineated by location and are distributed at random
No mechanism is suggested here but we have achieved:
Prediction of timing: over 95% of cases will be in midwinter although how many seems to vary a bit.
Characterisation of outbreaks as being somehow related to location (we can’t even say environment).
Better interpretation of epidemiology: The assumption that clustering implies contagion is incorrect and has been dangerously misleading.
Scope for further research: What is there that is special about certain latitudes and locations?
A model that actually fits the observed data: Other models based upon the flawed assumption of transmission have failed spectacularly.
This seems like a good basis for a model as being grounded in observed reality. We can refine it later and look for biological mechanisms to explain these patterns but the foundation should be as described above.
The HART group, by contrast seem to want to plunge straight in with assumed bio-molecular causes and to worry about the facts of disease later on. This is the wrong way round to do science: the ‘majority of the evidence‘ needs explaining.
The group is asking the virus sceptics to explain various molecular and genomic phenomena. These all sound very interesting but they do not of themselves constitute disease and have not been shown to cause any disease.
Towards a mechanism
The model described above is purely statistical in nature and may well make useful predictions but it gives us no ‘understanding’ and describes no biological mechanism whereby disease might be caused by seasonal change.
Seasonal incidence: This is so precise that the only possible way that this can be achieved by resonant entrainment to some seasonal influence, either daylight hours or maybe the Earth’s magnetic field.
Latitudinal coincidence: This again suggests the Earth’s magnetic field is involved.
Local outbreaks: Tricky. Hoyle suggests virions from outer space, I will suggest cosmic ray showers or eddies (vortices) in the Earth’s magnetic field, but I am certainly open to alternatives.
What else is it that we need to explain?
The HART group is asking to explain things like a unique RNA sequence found in people who appeared to have similar symptoms, Now nobody goes to their doctor complaining about a unique RNA sequence. We don’t need to explain this, we need to explain the symptoms.
The symptoms, even by mainstream accounts, are caused by an altered bio-regulatory state. This state (erroneously referred to as the ‘immune response’) consists of an an orchestrated sequence of events leading to symptoms that include sweating, muscle aches, elevated temperature and lasts usually five days before returning to normal.
I don’t say ‘returning to homeostasis’ because this state is managed by the body itself and is perfectly stable although not sustainable.
It is this state that causes distress and constitutes what we call ‘disease’.
For this process to fit within our model then, we are looking for some way that it is produced as a direct result of the seasonal rhythms and without the intermediary of a viral particle.
This is the research to be done. It sits firmly within the purview of bio-regulatory medicine and not so much virology or genetics.
Top-down causality is common in biology and is implemented via means of attractor systems which interpret external stimuli to effect change at the cellular and even molecular level. Attractors can be highly sensitive to rhythmic input. It is quite conceivable that people in similar physiological states can produce RNA with similar sequences.
Now since most disease is just assumed to be viral in nature it follows that most disease research is performed by virologists who are really geneticists and think almost exclusively in terms of bottom-up causality, that is to say, that a small piece of RNA has the ability to destabilise a system that demonstrates organisation and robustness to perturbation at all levels.
The idea of an attractor is not something that would readily spring to mind to one trained in biology but it is essential for the understanding of living systems. Attractors are the key to top-down causality, providing an interpretive interface between the organism and its environment.
Influenza is just a sudden phase change in an attractor state triggered by some external input. Genetic events are the end point of attractor activity, not the primal cause.
Why do symptoms differ between individuals?
This is behaviour typical of chaotic attractors. Paths will converge to the attractor but diverge on the attractor so no two people will demonstrate identical disease progression. Attractor phase states are general patterns which are not precisely definable or predictable. Attempts to refine diagnosis by increasing accuracy or number of measurements will just cause confusion as there is no meaning in these details.
Since each individual is on their own specific attractor path and in their own ‘state’ at midwinter, it is now expected that not everybody will get ill at solstice. This is natural behaviour for attractors. We would expect that there is a component of disease risk that is actually independent of other health factors; an element of ‘randomness’.
Attractor states are highly stable, making routine treatment somewhere between difficult and impossible. Phase changes can be sudden and apparently non-causal, resulting in what are usually described as ‘miracle’ cures. So miracles do happen and we now have a scientific explanation for them.
From Mae-Wan Ho
Attractors present a problem from the point of view of determinism . Their behaviour is stable and predictable insofar as they will reliably produce meaningful biological patterns that result in a robustly functioning organism. However, this behaviour is not predictable from examination of their parts and not predictable from any finite history of that behaviour. This is a hammer blow for traditional reductionist science; there will always be something incalculable and unknowable where biological systems are concerned.
Summary:
The data comes first, the explanation comes later
The mechanism of genetics is interesting but does not cause flu
Influenza is a disturbance of organisation – not cellular damage
Top down causation is provided for by attractor patterns
The presence of attractors implies a ‘cloud of unknowing’
Several papers present data and arguments purporting to show a correlation between peaks in sunspot activity and pandemic levels of influenza. A crystal clear paper written by statistician Simon Towers shows that this is not the case, that the papers contained several errors of fact and that even when these errors are corrected, the correlation does not exist.
The paper explains in some detail the specific mistakes made by Tapping and Yeung and gives a good general lesson on the sort of mistakes that can be made by those who do not specialise in statistical analysis.
The Tapping paper is important as having been cited by Arthur Firstenberg in his influential book “The Invisible Rainbow”.
Sunspot activity and influenza pandemics: a statistical assessment of the purported association – Simon Towers
As mentioned, there were mistakes made in copying dates etc. prior to statistical analysis. These were corrected by Towers and the resulting data displayed in the chart below.
We see sunspot numbers plotted through the years with influenza pandemics plotted as circles on the chart.
At first sight it might look like there is a good correlation between pandemics and sunspot peaks as many blue circles seem to be at or near peak sunspot activity. However, looking closer, there appear to be as many pandemics at low sunspot years as there are at peak years and this has led some researchers to speculate that either high or low sunspot conditions are somehow causal in pandemic influenza.
Possibly, but if we are now considering a causal relationship instead of merely a correlation, we should now look at the pandemics in 1830 and 1847. Both these occurred near a sunspot year but both occurred before the sunspot peak so it cannot be the case that the pandemics were caused by an event that happened a year later.
What about absolute sunspot values? Maybe there is a correlation not between sunspot peaks as such but between the total numbers of sunspots at any time? Looking at the chart however we see pandemics at high, mid, and low values of sunspots and at peaks, troughs and intermediate years in the cycle so this possibility looks very unlikely indeed.
When is sunspot activity considered to be ‘high’? The Yeung paper looked at times when the number of sunspots exceeded the ’60th percentile’ and found significant correlation ‘p < 0.05’ but this procedure is rightly criticised by Towers.
Why was the 60th percentile chosen when 90% or 95% is more common? The figure of 60 seems arbitrary in this respect. The chart shows the significance of the results when the percentile is varied, with results that are unlikely to happen at random appearing below the dotted line.
What we see is that, as the percentile varies, the significance of the results varies wildly. The outcome of the analysis is not in any way robust to the arbitrary choice of a cut-off point at 60%. The claimed significance is therefore a function of the methodology as much as of the data itself. This is bad practice.
More arbitrary choices are made which, when taken together, amount to ‘cherry-picking’ and are actually controlling the outcome of the study:
How is a ‘pandemic’ defined? (This is subjective)
How are sunspots counted? (Two different methods are available)
What is defined as ‘near’ a sunspot peak?
How is ‘significance’ calculated? (Many statistical techniques are available).
There are additional problems with the analysis:
There is really not enough data for a meaningful result
There is no purported mechanism by which sunspots can cause influenza
Pandemics were identified by counting citations from other researchers who tended to cite each other
Mistakes were made in transcribing data
Data was ‘bucketed’ or ‘categorised’ which again is an arbitrary process and will necessarily discard useful information
Mistakes were made in the authors ‘own calculations
One list of pandemics was excluded without explanation
Cosmic Factors of Pandemic Influenza – A paper (see references) claims that pandemics occur during sunspot minima but only when a large comet comes within 0.03 astronomical units of the sun. This introduces another arbitrary variable into the model (why 0.03?) and again, no credible mechanism for this phenomenon is supplied.
If more variables are introduced into the model then more data is needed to confirm the validity of the model and to distinguish the results from those of cherry picking. This doesn’t happen here and so we have no need to explore this idea further; the results will be meaningless whatever the correlation as the sample size is not large enough.
Summary:
Towers corrected the mistakes of the authors and used the amended data to perform analysis using several established statistical techniques to eliminate these arbitrary choices and thus eliminate bias from the calculations – but still found no significant correlation.
“When corrected lists of pandemic years were used, along with more powerful un-binned non-parametric tests to compare the distribution of sunspot numbers for pandemic years to that of all years, no significant result was obtained” – Simon Towers
Yeung JWK. A hypothesis: sunspot cycles may detect pandemic influenza a in 1700–2000 ad. Medical Hypotheses 2006; 67(5): 1016–1022. https://pubmed.ncbi.nlm.nih.gov/16806734/
Cosmic Factors of Pandemic Influenza – Darejan Japaridze, Natela Oghrapishvil Georgian scientists: Vol. 5 Issue 4, 2023 “The graph shows (Fig. 2) that influenza pandemics usually occur during solar activity maxima, and during solar activity minima, pandemics occur only when large comets approach the Sun within 0.03 AU.“
