The critical role of spurious symbols

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The critical role of spurious symbols

Lawrence Pitchko, professional musician and master teacher often points out the role of spurious symbols in musical scores, often overlooked by performers sometimes even edited out in transcriptions. One example he gave was Bethoven’s Moonlight Sonata. When played from the score, the fact that it consists of two different “songlines” played in two tacts “2” and 3/4”  is often missed if the bar is read in the linear fashion as the linear seqence of notes, ignoring special notes. Another example are “breathing” markers in the score to accommodate breathing pauses for wind intruments and vocals. The presence and following of such special markers and notes makes a difference between perception of the music performed being descibed as “alive” or “dead”.

Natural written languages

It is interesting to note that a similar importance of the special, spurious or redundant symbols in the written scripts of natural languages. Many if not all natural languages have more letters or characters than sounds giving the scribes an opportunity to encode a certain extra information or imposing subtle variants the meaning. For example old Cyrillic alphabet had 49 letters many of which were deemed redundant or meaningless (and eventually thrown out by Romanovs’ “reforms”) - but may have in fact been useful for conveying extra supra-vocal (beyond audible) information, such as an alternative meaning, accents,  emotion or intention. In the languages using synthetic, simplified (or “simplistic”)  alphabets such as Latin, the supra-vocal encoding was accomplished by necessity through using multiple lettering (for example “through”) as symbols. There is a perception of natural languages being more “alive” as opposed to synthetic simplified languages such as Esperanto often perceived as “dead” or stagnant.

Deterioration of written information and error correction.

Disadvantage of written information as opposed to a knowledge committed to memory and retold by living humans resides in the fact that the former is static and lives only as long as the material it is written on,  and it cannot correct itself, while the latter is adaptible to evolving language or to evolving knowledge and understanding. The problem with the static non-self correctability of the written scriptural information can be mitigated to some extent by having a certain degree of redundacy built-in thus the tendency of the old written scripts to retain more letters and symbols rather than less.

Biological encoding. 

This brings us to the subject of DNA (and beyond just the 3D physical molecular carrier).  The degree of redundancy and non-active genetic encoding and the ability to store the DNA backup “in the cloud”  is probably essential for the long term survival of the species, making the notion of the information being “live” - literal rather than figurative! 

Division by zero length vectors in Clifford Algebra

.3-rd grade Clifford algebra Cl3,0(R) has division operators defined as the inverse of the product. For example if a,b are Clifford vectors then the division operations / \ of those two produce other Clifford vectors d and s such that 

a/b=d <=> a=d*b   ( note  a/b = a * (1/b) )

a\b=s <=> a=b*s    ( note  a\b = (1/b) * a )

Those are definitions of the right-hand-side (/) with the right-hand-sode quotient d, and the left-hand-side (\) division operator with the left-hand-side quotient s. Here below we discuss only the right hand side division as an example.

Division operations are restricted to vectors b such that b is not equal 0 and the modulus (length) of b is also non-zero. There is one exception to this restriction: division may be defined for the cases when both a and b are vectors of zero length and are aligned in the same direction (that is have a common zero-length multiplier, for example the (Dirac) spinor base vector (1-f)/2 where f is the unity primary base Clifford vector. Note that any unity vector can be used instead of f , for example (e+f)/sqrt(2) etc.  It is interesting to note that the zero length Clifford vectors represent physical objects propagating at the speed of light, such as photons.  

An example of a special case when a and b are zero-length and are both aligned to the same zero-base (1-f)/2 is:

     a=b=1-f 

where f is a unity base vector, one out of the 3 primary Clifford algebra generator vectors: 

    {e,f,g} (note: ee=ff=gg=1 and efg=i).

Using the definition of  the right-hand-side division (/) above, we obtain:

    a/b=(1-f)/(1-f) = v + (1-v)(1-f)/2 = 1 + (1-v)(1+f)/2

this can be also written as  exp( u*(1+f)/2 )  

where v, u are arbitrary vectors or complex numbers

Proof:

    (v + (1-v)(1-f)/2)(1-f) = v(1-f) + ( (1-v)(1-f)/2)(1-f) =

    v(1-f) + (1-v)(1-f) = (v + 1-v)(1- f) = (1-f)  

——

A general formula for the zero by zero quotient aligned with the (1-f)/2 spinor base is as follows: 

        a/b =  q*exp(u*(1+f)/2)  

        a\b =  exp((1+f)*u/2)*q 

 - where q is the nonzero vector part of a: a=q(1-f) or (1-f)q , b=(1-f) and u is an arbitrary Clifford vector

Viruses as genetical information from the future

.This is based on the ideas by V. Kordium [add references]

[DRAFT]

Evolution strives to preserve genetic material against natural deterioration degradation in the short term due to noise.  This is achieved through over-reproduction and natural environmental selection.  The more environmental selection ("survival of the fittest") stages i.e. acquatic --> land --> air, -  the more efficient is that short term (thousands to hundred thousands  of years) protection against genetical code degradation, in favor of stability.  The more environmental stages involved during an individual life (i.e. aquatic,land,air etc) the more effective this short term error correction becomes witnessed by the extremely slow evolution speed of insects as opposed to quicker rate for mammals, and even quicker mutation rate of microorganisms.

However, this trend towards stability (stasis) may lead to a progressive detrimental loss of certain spurious or obsolete (for the time being) genetical information and genetical diversity, which is counter to the long term adaptability and works against the long term (1-100 millions of years) survival of the genome against major catastrophies or even a survival of an entire biosphere including the information-sphere ("Noosphere") may be at stake as it must have happened several times in Earth's geological history.  

Viruses may play a vital role in redistributing and preserving such presently "obsolete": but futurely essential genetic information! This process can be dubbed "back from the future" evolutionary transmission. 

[Acknowledgment: Alex "Trickster" Selkin, many thanks for the refs!]

References (Listing page)

https://sites.google.com/edu.imbg.org.ua/rmc/generalizations

References (Selected)

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Кордюм В.А Эволюция и Биосфера. Киев. Наукова Думка 1982 г.

В монографии анализируется современное (1982 г.) состояние эволюционной теории. Подробно рассматриваются последние достижения в изучении переноса генетической информации у живых организмов. На основании обширного литературного материала и собственных данных произведена количественная оценка информационного окружения и, поступления в различные живые существа по конкретным информационным каналам материального носителя наследственности. Демонстрируется универсальность разбираемого процесса, который имеет место не только у прокариотов, но и у организмов с дифференцированным ядром. Развиваются представления о том, что для более правильной оценки эволюционных событий должна быть введена информационная составляющая эволюции.

Для биологов, селекционеров, преподавателей и студентов биологических факультетов.

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Кордюм В. А. Viruses evolution – an attempt of non-linear prognosis. Biopolym. Cell. 2001; 17(6):467-486. http://dx.doi.org/10.7124/bc.0005D6

The non-traditional ideas about the possible evolution of the infections (mainly, viral), and its mechanisms are discussed and analysed in the review. The formation of Noosphere as a self-sufficient system, alternative to Biosphere caused the explosive (as for the scope and the rate) viral evolution. The discrepancy between the rate of viral variability and the rise of new infections is noted which suggests the «indefinition of infections». The acceleration and direction of the evolution of the infections (mainly, viral) a forecasted. The condition about the «ranges» of the infections' evolution is proved and the criteria for such «ranges» are formulated. The beginning of pure Noosphere contribution into the evolution of the infections is noted.

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Kordyum V. A.What are our "garbage", its scavenging and the consequences of this phenomenon. Biopolym. Cell. 2002; 18(6):457-466.

http://dx.doi.org/10.7124/bc.000628

Questions concerning a wide group of the organism vital activity waste formed and transformed in tissues are discussed. The definition of this waste, named as "garbage", is given. This designation is complementary to the term "scavenger receptor", the receptor through which the absorption of this group of vital activity garbage takes place. On the basis of analysis of "garbage" formation and utilization, possible pathological processes in the organism are considered, and the existence of a separate pathology form named «scavenger-syndrome», is postulated.

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Kordyum V. A., Shpilevaya S. P., Ruban T. O., Sukhorada O. M.The concept of genetic material exchange between mammalian cells Biopolym. Cell. 2005;21(4):335-345.http://dx.doi.org/10.7124/bc.0006FA

The concept presented is confirmed by both direct experiments on the genetic markers transfer and microscopic observations. The authors formulate an idea that there is a universal informational space of the organism, created due to the DNA release within the lifetime of cells without destroying their genomes (and DNA absorption, complementing the mutations) or due to the addressed transfer of genetic material by specialized cells.

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Kordium, V. A. (2021). Defining life and evolution: Essay on the origin, expansion, and evolution of living matter. Biosystems, 209, 104500. doi:10.1016/j.biosystems.2021.104500

This essay aims to define the origin, expansion, and evolution of living matter. The first formations, identified as remains, fossils, traces etc. of life are almost as old as the Earth itself. During four billion years, life on the Earth has continuously existed and been implemented in the range of conditions, ensuring the liquid state of water. During the entire period of life existence, its evolution was proceeding with the tendency of multidirectionality, after each catastrophe tending to the diversity and vastness of distribution, and all the currently living species, regardless of their complexity, have the same evolutionary age. The property of reproductive surplus (multiplication) is inherent in all the living matter. The reproduction of all the living matter is implemented via the “development” – a process of continuous occurrence of something new that did not exist in the previous moment in the reproduced individual at each specific moment of time with the tendency towards the reproduction of a “copy”. In its fundamental basis, Life is based on a programme, its material support is implemented and exists not in the field of causative-consecutive events, but in the field of programmed-causative-consecutive events. This predetermines the “biology laws”, the behaviour of the material constituent of Life at each time period, and the future of the material constituent of life

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Kordium V. A., Irodov D. M Amazing MSC – phenomenology, problems, solutions and opportunities. Biopolym. Cell. 2017;33(1):64-76.http://dx.doi.org/10.7124/bc.000942

The review briefly describes the history of prediction and discovery of mesenchymal stem cells (MSCs). The evolution of our views on the nature, functions, and status of MSCs in the organism is presented. We propose that MSCs represent transient states of different cells. The MSCs are involved in tissue repair by programmed replacement of the dying or dead cells). They also induce o renewal of specialized differentiated cells by action of specific signal molecules). MSCs might also participate in the continuous renewal of an organism during its lifetime.

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Kordyum V. A. Problem of tumor origin as it is from the molecular genetics point of view. Biopolym. Cell. 2001; 17(2):109-139.

http://dx.doi.org/10.7124/bc.0005A3

The problem of oncogenesis from the point of view of molecular genetics is analyzed. The special attention is paid to the genome instability as the main reason of the malignant cells growth. It is pointed out that the genome instability provides the material for the selection. An immune control system destroys everything what it can destroy. But at the same time it creates the «own» tumor for each patient, which is not recognized by the immune control system as a harmful one.

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Кордюм В. А. About a conception of viruses and their place in the biosphere. Biopolym. Cell. 2000;16(2):87-98.http://dx.doi.org/10.7124/bc.00055B

The ideas about viruses as tools for transduction of the genetic information in tlie biosphere that provide unity of all living beings in global scale have been developed in this article. According to these ideas, tlie previous and modern meaning of notion «virus», as an infectious basis that evokes pathologic events, does not correspond to new facts and should be radically reconsidered.

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Clifford Algebra and Physics

.There is a noticably higher interest in Clifford algebra among quantum physicists and pure matematicians. I am noticing more posts on Twitter, google searches and a number of new lectures on Youtube. I have to refresh this subject, making a few important reminders about the optimal choice of a Clifford algebra (there are many!) for people who are going to study the subject in physics.  

- It is important to pick an algebra that can be generated out of basic operators of uniform signature than mixed one in order to minimize the number of initial assumptions. For example Cl3,0(R) is more naturally symmetrical than Cl3,1(R) .  

- It is important that the selected Clifford algebra is “self-complexifying”, that is generates Complex number field naturally as it’s own subalgebra. Such algebras allow associating a physical interpretation to imaginary numbers in natural fashion, otherwise  Complex number field has to be introduced as a basic assumption rather than follow naturally from the algebra. There are two self-complexifying Clifford algebras of interest: Cl3,0(R) and Cl7,0(R). Their complexified isomorphs are Cl(2)xC and Cl(6)xC, respectively. The second one is more difficult to work with because of its non-associativity.

- I need to stress that the particular Clifford algebra most often employed in quantum physics lectures Cl3,1(R) to express Dirac equation and spinors is not the best choice because it is the 4-rth ‘grade’ algebra. Clifford algebras beyond grade 3 are non-associative ( a product abc evaluates differently depending on whether you evaluate ab first and right multiply by c versus first muliply bc and then left multiply by a). It is very difficult to use non-associative algebras, in particular to reduce formulae or evaluate solutions.

- I strongly recommend to use Cl3,0(R) with natural bilinear form(metrics) of Q(p,q) = pq’ + qp’ [where ()’ is quaternion conjugate]  rather than the most common Cl3,1 in physics. In Cl3,0(R) the three basic generator operators e,f,g represent 3 physical directions (for example x,y,z) while Time direction is represented by identity operator I. It is customary in algebra to write I as number 1, interchangeably. In algebra Cl3,0 all bases square to +I  that is ee=ff=gg=I=1 ( in algebra Cl3,1 e,f,g square to +I and operator h representing time axis squares to -I).  The full Cl3,0(R) algebra is 8-dimensional with the full base being{1,e,f,g,ie,if,ig,i} where i=efg (note: ef=-fe, fg=-gf, ge=-eg).

- It is important to chose the mathematical modelling tool that has the sufficient complexity such as the number of degree of freedom (dimensions) that can reproduce physics but no more than that. For example Dirac matrics spinor calculus uses 4x4 complex  matrices (gamma matrices) which have 4x4x2=32 degrees of freedom, as opposed to Cl3,0(R) spinor model which has 8 degrees of freedom. A math model which has too many degrees of freedom than needed has to have additional constrains imposed to limit the domain. Cl3,0(R) doesn’t need any additional constrains, anything that it generates has a physical counterpart and vice versa: any physical concept can be modelled using it (perhaps with the exception of gluons and quarks, which may require Cl7,0(R) but I am not 100% convinced about it).

Non-local comunication of living cells proven by Michael Levin in regeneration phenomena

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In this video Lance Hitchings describes dr. Michael Levin (Tuft's University, 2022) proving that cellular communication has a global nature with the morphogenetic/electromagnetic bio-network, rather than cell-to-cell. Cell-to-cell communication would not explain the full extent of the regeneration phenomena. 

My comment: 

1/ "bioelectric networks" = Sheldrake's "Morphogenetic Field". 

2/ In my opinion, the physics of the non-local morphogenetic network communication is based on the quantum condensate phenomenon and non-local quantum entanglement between a cell and the collective of cells, by the effect taking place in the cellullar membranes resonating in the samef quantum state forming a BE condensate among cells. 

https://www.youtube.com/watch?v=Yl7gLTL1pYc

Regeneration: the blueprint - Morphological Target is stored in the "biolelectric network". Triggering the regeneration process (of a missing limb, for example) is achieved by exposing the wound to "Amniotic Fluid" (LYMPH). Aging is caused by losing information and added noise into the Bioelectric Morphologic Network. The Bioelectric Morphologic Network is NOT stored in genetics!  Bioelectric Information is stored in cellular membranes.  Cellular membranes storing the Bioelectric Morphology are Bose Einstein Condensate connecting across 5D quantum space-time-phase, tapping an information across time and space barrier NONLOCALLY!

See my article on BE Condensate in biomembranes from 2015.
( you need a google account needed to view it, no password to read ):

 
 https://docs.google.com/document/d/1Af2ALbKUm9RMOT2gHae4Vvn6yU_y1gWwT_uV2yycoBg/edit?usp=sharing

C19 hospitalisation in NSW vs vax status 12/2022

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Original data screenshot from the New South Wales (Australia) government website, data for the period ending 31 Dec 2022.

  BOMBSHELL – Pandemic of the vaccinated This is not looking good. by PETER IMANUELSEN, JAN 10, 2023

Malhotra's Study from India (1960) 19 times more animal fat 7 times less heart disease

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"Epidemiology of ischaemic heart disease in India with special reference to causation.", S L Malhotra, Br Heart J. 1967 Nov; 29(6): 895–905. Old study but very memorable. S.L. Malhotra analyzed statistics of 1.15M employees of India Railways from 88 Railway company owned hospitals for the employees and their families. He found that the Southern employees consumed 19 times less animal fat than the Northern India, smoked 1/10-th of the cigarettes, ate less sugar - and had 7 times higher rate of ischaemic heart disease!

Igor Chudov - asociation between vax and excess mortality getting stronger

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"Association Between Vaccines and EXCESS MORTALITY Getting Stronger -- and is Discussed in UK Parliament", by Igor Chudov, 6-Now-2022 

 Some quotes:

This is Counterintuitive and Concerning!

 

Please take a minute to understand that increasing the strength of association, as time passes after the event causing the association (vaccination), is very unusual very worrisome

 

What is going on? The clock is ticking; unvaccinated people are not really getting vaccinated anymore. And yet, as time goes on, more and more excess deaths are explained by vaccination rate (49% in weeks 20-44, instead of 27% 10 weeks prior). Vaccination rate, for the most part, refers to vaccinations that happened in the relatively distant past, a year ago or so. Something is happening in the bodies of people who were mostly vaccinated over a year ago that increases the degree of that association of vaccines vs. deaths as time goes on!

 

Stop. This is NOT normal.

 

Consider a typical poison like rat poison. Let’s say that a careless cook accidentally sprinkled varying amounts of rat poison over the salads of restaurant visitors. Some received more, some less, so some would die of rat poison. It would be understandable to expect that “restaurant visit” was associated with “excess mortality” of unfortunate diners within the first week or two after the visit. A year later, though, we would not be expecting any such relationship as the effects of poison wear off. However, the association of vaccination (distant past event) with mortality (present event) is increasing as time goes on!

 

What could explain it? To be honest, I am not certain. I can offer two explanations:

 

Vaccination has a delayed effect that causes excess mortality to increase. Regular poisons do not do that. Carcinogens do exactly that. They set a chain of biological processes in motion that lead to increased mortality down the road.

 

Vaccination had negative AND positive effects on mortality, and the positive effects are wearing out. Covid vaccines did, a while ago, provide some protection from Covid deaths. However, as time went on, that protection dwindled. So, as protective effects dwindle and negative effects continue, the explanatory power of vaccinations may be increasing.

Ivermectin Led Up to a 92% Reduction in COVID-19 Mortality

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New Brazilian study: Kerr L, Baldi F, Lobo R, et al. (August 31, 2022) Regular Use of Ivermectin as Prophylaxis for COVID-19 Led Up to a 92% Reduction in COVID-19 Mortality Rate in a Dose-Response Manner: Results of a Prospective Observational Study of a Strictly Controlled Population of 88,012 Subjects. Cureus 14(8): e28624. doi:10.7759/cureus.28624 Quote:

Conclusion
Non-use of ivermectin was associated with a 12.5-fold increase in mortality rate and a seven-fold increased risk of dying from COVID-19 compared to the regular use of ivermectin. This dose-response efficacy reinforces the prophylactic effects of ivermectin against COVID-19.

History of Disinfo Campaign Against lvermectn

.History of global campaign to discredit, suppress and ultimately ban Ivermectin drug. Reposting from Dr. Pierre Kory's Substack blog 25-Aug-2022:

The Global Disinformation Campaign Against Ivermectin - The "Fix" at the WHO Part 1

You can make a weak or moderate recommendation solely on observational trials data! Plus, the unparalleled safety profile of ivermectin combined with the existing highly positive data in over 1,000 patients and 12 randomized controlled trials should have led to at a minimum a weak recommendation in the midst of a humanitarian catastrophe (the winter of 2020-2021 was particularly brutal in U.S hospitals). However, had they done that, the entire country’s (and world’s) doctors would have started treating all COVID patients with ivermectin. They knew they could not do provide any recommendation stronger than “neutral.” Plus Fauci would never let that happen (remember, as a public servant, it is well documented that he has worked in the service of the pharmaceutical industry his entire career). So that's what they did. There was a lot of attention on Ivermectin after my testimony so they had to do something. Knowing what I know now of the immense powers of Big Pharma, I suspect that even if they had delivered a “weak” recommendation for use, it may not have moved the needle much. I say this largely because the market competitors of ivermectin had many other tactics they could use (and did) to prevent widespread adoption (i.e. their devastatingly effective “horse dewormer” public relations campaign deployed using synchronized messaging amongst all major TV, radio, and print outlets. Plus they probably knew that the WHO was going to update their recommendations based on Andy and his team's continued research over the next two months, so they punted. I would argue that they knew the fix was in at the WHO already. But this is when things get even crazier.

Paul and I read his posted pre-print review and were shocked. The conclusions did not match the data. For the first time in my career, I found myself reading a scientific manuscript by a researcher presenting such profound and compelling data yet whose conclusions argued against the findings. If there is anything that scientists and researchers tend to do when publishing original work, is that they tend to over-interpret the potential importance and impact of their data. But here there was such overwhelmingly positive data yet the paper and conclusions read as if the conclusions were very uncertain and too “heterogenous” to act on. In addition, it was poorly written, with repeated expressions of the limitations of the data including false statements about how effective concentrations could not be reached with standard dosing (something we knew Andy knew was false). In addition the conclusion did not match the data presented. Paul and I immediately suspected scientific misconduct was occurring so we immediately wrote to Andy with our concerns and provided him with a complete peer-review of his paper containing our many comments and recommendations for changes. We demanded that he immediately take down his paper and implement the suggested revisions to be more consistent with the existing data. Among other demands, we asked that he remove the statements about how effective concentrations could not be reached in the blood with standard doses (we had as a group presented data disproving that to the NIH). Further we called out the numerous irregularities in his paper like the repetitive citation of the “limitations” of the data presented.

We knew something was off, like really off and so did Tess. But we didn’t know exactly what was going on “behind the scenes.” It was not until a year later when we found out who and what were behind these manipulations trying to distort and suppress the evidence of efficacy of ivermectin. Those details were uncovered by a man named Phil Harper. I consider him a polymath with a diverse background of interests and accomplishments having worked in journalism and documentary filmmaking among other pursuits. He was a UK citizen and had been living in India during the early pandemic and was shocked when he returned to UK in mid-to-late 2021 and found a country without any early treatment strategy that was instead attacking, suppressing, and legislating against ivermectin which was in wide use at the time in India. So he dug into the topic. Note his Substack is called “the Digger” and it is masterful. What he discovered about the events that occurred over those weeks is absolutely stunning. I credit his work and his publications on his Substack with much of the finer and personal details of what I will present as having happened over those weeks. Please read it. Please also consider donating to help fund his proposed documentary project called “The Research Cartel.” I believe it will have major impacts on exposing all that is rotten in medical research.

It is an astounding video. Andy actually admitted to Tess that his “sponsors” influenced the writing of the paper. Tess asked him for names but he refused. And we all know that whoever had altered that paper they were not listed as an author of the paper. This was clear scientific misconduct. She included the most relevant parts of this meeting in a devastatingly effective video called “A Letter to Andrew Hill” which essentially covers all of the most relevant and impactful events that I am detailing in these posts. I have included it at the end of Part 2. It is a must watch and likely communicates more than I ever can with words. Please hang in, hold, read this through, and then watch the video.

The Global Disinformation Campaign Against Ivermectin Part 2- The "Fix" at the WHO

So, who was the person making all the changes attacking ivermectin in Andy’s paper? Not mentioned during the recorded meeting with Tess Lawrie and Andrew Hill, but Hill later referenced a person named Dominique Costagliola. What is fascinating is that Phil Harper, acting as a journalist (which he is), actually got Andrew Hill to meet him for coffee in London to do an interview about ivermectin. He purposely gave Andy the sense that he was a “friendly” reporter doing a hit piece on ivermectin. By the time of that interview, Andy had been actively attacking the evidence in support of ivermectin. I suspect he was probably eager to take advantage of yet another opportunity to please his paymasters. Phil even got Andy to confirm that he had been discussing the paper with Dominique Costagliola during that earlier time period and that she had been advising him in some way. Twitter users quizzed her on it and she too confirmed it.

So what did Phil find out about Dominique Costagliola?

1. She is the Deputy Director of the Pierre Louis Institute of Epidemiology and Public Health in France.
2. She speaks English as a 2nd language (this is important as the other “influencer” of Andy that you will soon meet below is English)
3. She had a history of attacking ivermectin, starting very soon after my testimony on the 19th of December 2020, as evidenced in this article “fact checking” the idea that ivermectin was effective in COVID. That article essentially started the narrative refrain we hear about still to this day - “the trials were are small, low quality” and that “proper, large rigorous” (i.e. Pharma controlled) trials are needed to validate the findings.
4. She is a Pharma-conflicted individual just like all the other research and regulatory agency operatives working against ivermectin. She receives lecture fees from nearly every corporation with a competing product against ivermectin. Janssen, Gilead, Merck-Sharp and Dome (biopharmaceutical company), Viiv, Innavirvax and Merck Switzerland. She has taken money in the form of lecture fees, personal fees, and travel and meeting expenses.

I maintain that she is the one who inserted that bizarre weird phrase that no researcher or scientist would ever put in their conclusion, you know the one about “regulatory approval.” Phil discovered that in March 2021, she even used the same phrase in a tweet:

What Phil discovered next, to me, is the “Scoop of the Century” given that I call what these people and others (Hi Billy G!) did to ivermectin, the “Crime of the Century.” Phil discovered who was really in control of both Andy and the evidence supporting ivermectin. It was the Professor that Andy had mentioned to me in our first ever conversation. Phil discovered the Professor’s identity by simply looking at the “meta data” embedded in the PFD file of the preprint paper. It was finalized on the computer of Professor Andrew Owen of the University of Liverpool in the days leading up to the posting. Whoa. Thus, this was the same Professor that had suggested to Andy to “look into ivermectin” in November of 2020. On what evidence do I make this claim? Not only the fact that Andy’s paper was doctored on the computer of Professor Owen but also on his insane conflicts of interest against ivermectin. Again, I maintain he was getting Andy to do “opposition research” without Andy knowing he was working for the other side at the time. Owen’s Big Pharma conflicts with competing products to ivermectin are unparalleled. Costagliola’s pales in comparison.

They reported 70 deaths per 1000 in the standard-of-care treated patients vs. 14 deaths per 1000 in ivermectin treated patients. An 80% reduction in mortality. Let me repeat that. An 80% reduction in mortality. Remdesivir doesn’t do that. Paxlovid doesn’t do that. Molnupiravir doesn’t do that. Monoclonal antibodies don’t do that. And Owen had conflicts with three of these “competitors” (it was not even close to a competition, except in price and profit potential).

A letter to Dr Andrew Hill from Dr Tess Lawrie, March 4th, 2022

Uttar Pradesh - The Miracle of |\/еяместln performed by the Chief Minister Yogi Adityanath

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The Miracle Not-Heard Around The World: The Success of Uttar Pradesh - Part 1

\/ax, heat-shock protein, D-dimers and cardiovascular events

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I am reading a lot of papers indicating a connection between skin irritation by heat or by UV, production of Heat-Shock Protein HSP70, D-dimers, autoimmune cascade and cardiovascular infarction due to clotting. See for example this:

1) "S100ß, Matrix Metalloproteinase-9, D-dimer, and Heat Shock Protein 70 Are Serologic Biomarkers of Acute Cerebral Infarction in a Mouse Model of Transient MCA Occlusion" - Jong-Il Choi 1, Sung-Kon Ha 2, Dong-Jun Lim 2, Sang-Dae Kim 2, Se-Hoon Kim 2 J Korean Neurosurg Soc, 2018 Sep;61(5):548-558. https://pubmed.ncbi.nlm.nih.gov/29724092/

2) "Heatstroke-induced coagulopathy: Biomarkers, mechanistic insights, and patient management", Toshiaki Iba, Jean Marie Connors, Marcel Levi, Jerrold H. Levy The Lancet, Open AccessPublished:January 22, 2022 https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(22)00006-2/fulltext

Quote from the Lancet paper: "Platelet count, D-dimer, soluble thrombomodulin, and inflammation biomarkers such as interleukin-6 and histone H3 are promising markers for HSIC [Heat-Stroke Induced Coagulopathy]".

IL6 and D-dimers are also the predictor markers for the cardiovascular events in double or more - vaccinated patients reported by dr. Shankar Chetty in the link I sent 3 days ago.

3) Interview of dr. Shankara Chetty (South Africa) by dr. Peter McCullough on McCullough Report made in the beginning of July 2022. https://content.blubrry.com/mcculloughreport/Evidence-Based_Medicine_Supports_the_Practice_of_the_Art_of_Medicine.mp3 https://www.americaoutloud.com/?powerpress_pinw=100209-podcast

He is describing lots of clinical detail from his practice. He mentions two early warning factors in his patients forecasting the possibility of cardiac events: IL6 and D-dimer test.

What is interesting, is that he is saying that the cardiac arrest event follows a few days after the covid symptoms which are generally very mild! It goes counterintuitively since it is not the severe flu-like symptoms which may forebode the poor outcome or cardiovascular death during what he calls the "Second Stage" of the omicron infection, but the mild symptoms or even no symptoms! CDr. Chetty is saying that he did NOT notice any significant correlation between the poor Second Stage cardiac outcome and any of the usual comorbidities such as obesity, prediabetes, hypertension etc. He was basically observing healthy patients experiencing unexpected cardiac events! What foreshadows the cardiac event outcome is a very high Interleukin-6 and D-dimer test and also correlation with the covid-vaccinated status, especially double+boosted! He mentions the remarkably effective treatment in those cases with: Promethazine + Aspirine.

Pfoizon's postmarketing experience

.The data is not fully verified.  I used the reference links and borrowed some words from this post Comment by Captain Sunset on Hyperlipid 

BNT162b2 / 5.3.6 Cumulative Analysis of Post-authorization Adverse Event Reports

Spike protein and cancer

"SARS-CoV-2 Spike Impairs DNA Damage Repair and Inhibits V(D)J Recombination In Vitro" by Hui Jiang, Ya-Fang Mei, 2021 Oct 13

"53BP1: A key player of DNA damage response with critical functions in cancer", by Mohammad Mirza-Aghazadeh-Attariet al. Epub 2018 Nov 20

The Lancet paper on Ivermectin

 

The study found no difference between the treated group versus the control group in the viral load detected by PCR, but treated patients recovered twice as fast.  

Title:  "The effect of early treatment with ivermectin on viral load, symptoms and humoral response in patients with non-severe COVID-19: A pilot, double-blind, placebo-controlled, randomized clinical trial", by Carlos Chaccour et al., The Lancet, January 19, 2021

https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(20)30464-8/fulltext

The Lancet article on c19 spread by vac people

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The epidemiological relevance of the COVID-19-vaccinated population is increasing

An article published by Günter Kampf in The Lancet, Letters, 19-Nov-2021.

Quote:

High COVID-19 vaccination rates were expected to reduce transmission of SARS-CoV-2 in populations by reducing the number of possible sources for transmission and thereby to reduce the burden of COVID-19 disease. Recent data, however, indicate that the epidemiological relevance of COVID-19 vaccinated individuals is increasing. In the UK it was described that secondary attack rates among household contacts exposed to fully vaccinated index cases was similar to household contacts exposed to unvaccinated index cases (25% for vaccinated vs 23% for unvaccinated). 12 of 31 infections in fully vaccinated household contacts (39%) arose from fully vaccinated epidemiologically linked index cases. Peak viral load did not differ by vaccination status or variant type [[1]]. In Germany, the rate of symptomatic COVID-19 cases among the fully vaccinated (“breakthrough infections”) is reported weekly since 21. July 2021 and was 16.9% at that time among patients of 60 years and older [[2]]. This proportion is increasing week by week and was 58.9% on 27. October 2021 (Figure 1) providing clear evidence of the increasing relevance of the fully vaccinated as a possible source of transmission. A similar situation was described for the UK. Between week 39 and 42, a total of 100.160 COVID-19 cases were reported among citizens of 60 years or older. 89.821 occurred among the fully vaccinated (89.7%), 3.395 among the unvaccinated (3.4%) [[3]]. One week before, the COVID-19 case rate per 100.000 was higher among the subgroup of the vaccinated compared to the subgroup of the unvaccinated in all age groups of 30 years or more. In Israel a nosocomial outbreak was reported involving 16 healthcare workers, 23 exposed patients and two family members. The source was a fully vaccinated COVID-19 patient. The vaccination rate was 96.2% among all exposed individuals (151 healthcare workers and 97 patients). Fourteen fully vaccinated patients became severely ill or died, the two unvaccinated patients developed mild disease [[4]]. The US Centres for Disease Control and Prevention (CDC) identifies four of the top five counties with the highest percentage of fully vaccinated population (99.9–84.3%) as “high” transmission counties [[5]]. Many decisionmakers assume that the vaccinated can be excluded as a source of transmission. It appears to be grossly negligent to ignore the vaccinated population as a possible and relevant source of transmission when deciding about public health control measures.

AHA paper on cov. vac. - dramatic increase of cardiac risk markers

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Abstract 10712: Mrna COVID Vaccines Dramatically Increase Endothelial Inflammatory Markers and ACS Risk as Measured by the PULS Cardiac Test: a Warning

Steven R Gundry

Originally published8 Nov 2021Circulation. 2021;144:A10712

Quote: 

Abstract

Our group has been using the PLUS Cardiac Test (GD Biosciences, Inc, Irvine, CA) a clinically validated measurement of multiple protein biomarkers which generates a score predicting the 5 yr risk (percentage chance) of a new Acute Coronary Syndrome (ACS). The score is based on changes from the norm of multiple protein biomarkers including IL-16, a proinflammatory cytokine, soluble Fas, an inducer of apoptosis, and Hepatocyte Growth Factor (HGF)which serves as a marker for chemotaxis of T-cells into epithelium and cardiac tissue, among other markers. Elevation above the norm increases the PULS score, while decreases below the norm lowers the PULS score.The score has been measured every 3-6 months in our patient population for 8 years. Recently, with the advent of the mRNA COVID 19 vaccines (vac) by Moderna and Pfizer, dramatic changes in the PULS score became apparent in most patients.This report summarizes those results. A total of 566 pts, aged 28 to 97, M:F ratio 1:1 seen in a preventive cardiology practice had a new PULS test drawn from 2 to 10 weeks following the 2nd COVID shot and was compared to the previous PULS score drawn 3 to 5 months previously pre- shot. Baseline IL-16 increased from 35=/-20 above the norm to 82 =/- 75 above the norm post-vac; sFas increased from 22+/- 15 above the norm to 46=/-24 above the norm post-vac; HGF increased from 42+/-12 above the norm to 86+/-31 above the norm post-vac. These changes resulted in an increase of the PULS score from 11% 5 yr ACS risk to 25% 5 yr ACS risk. At the time of this report, these changes persist for at least 2.5 months post second dose of vac.We conclude that the mRNA vacs dramatically increase inflammation on the endothelium and T cell infiltration of cardiac muscle and may account for the observations of increased thrombosis, cardiomyopathy, and other vascular events following vaccination.

Scotland-UK gov report for Aug-Sep shows v. have very little effect on c. deaths

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It is interesting to note that "The Age Standardised Mortality Rate per 100,000" figures given in Table 18 (i.e. 8.38, 4.93, 1.93 for the unv., 1-va and 2-va, for the 11-17 of September) are inconsistent with the population va rates and the number of deaths in each category. These rates are probably adjusted and corrected for other factors. Unfortunately they did not explain (or I missed it) how exactly they were adjusted and corrected.

That's why I re-ran the numbers myself to verify them. I took the number of unv'ed people who died of c. (59) in the period, dividing them by the total number of people who died of c. (59+10+233=302, that is the total of unv'ed plus 1-v'ed plus 2-v'ed who died).  Divide 59 by 302 - you will get 20%. The actual percentage of those who died of c. and were double-v'ed is 77% (that is 233 by 302).

If you google the population stats for Scotland, for September, you will find that 22% are unv'ed, 78% are at least once v'ed (therefore 7% are exactly once-v.) and 71% are double v'ed.

To summarize it, 22% of the entire population are unv'ed and constitute 20% of those who died on c.

Double v'ed constitute 71% of the entire population and 77% of those who died on c.

Note that the percentage figures of 20% and 22% are statistically the same, within the statistical error (=+/- square root of N divided by N, for Gaussian distribution), so are the figures 70% and 77% - which indicates that the v. are not really effective in averting the c. deaths in Scotland.

Reference:

1/ SeeTable 18 in "Public Health Scotland C-XIX Statistical Report As at 27 September 2021"

Table 18 (from the above-report)

Age-Standardised Mortality Rate referenced in Table 18.

2/ C-XIX va. rates in Scotland, up to 10-Oct-2021, by Google search:

---- Update 24-Oct-2021 ----

Similar figures emerged from Israel.  Note: the following table provided by Dr. R. Malone has not been independently verified, as far as I know.

Update 3-Nov-2021, more references. 

3/ The UK data, similar to Scottish:

"COVID-19 vaccine surveillance report Week 42"

https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1027511/Vaccine-surveillance-report-week-42.pdf

4/ https://www.thetimes.co.uk/article/mystery-rise-in-heart-attacks-from-blocked-arteries-m253drrnf

5/  https://chrismasterjohnphd.com/blog/2021/10/23/natural-immunity-vs-vaccination

6/ Updated 22/11/2021

Total deaths rates per 100k, for vaccinated and unvaccinated sub-populations. Allegedly based on the England's government sources, unverified!  [will add the source data reference later when I find them]