Dr Kyle Cameron-Sydell: “COVID-19" Sickness That Was Never Seen Before Which Most Resembles High-Altitude Sickness” ,60 Ghz Range, Known As The Oxygen Absorption Band And 5G
Dr. Kyle Cameron -Sidell explains in his video that went viral that when he opened an ICU, he thought he would be treating Acute Respiratory Distress Syndrome (ARDS)along every hospital in the country that was preparing the same. However, everything he has seen in those days has led him to believe that COVID-19 is not ARDS. He has seen phenomena that don’t make sense in the context of treating a viral pneumonia.
Dr. Kyle Cameron-Sidell said that he has seen things he has never seen before. So, he believes they were operating under a false medical paradigm and were treating the wrong disease. He feared that this misguided treatment would lead to a tremendous amount of harm to hundreds of thousands of people in a very short time. He stressed that, as far as he could see, COVID-19 lung disease is not a pneumonia and should not be treated as one.
He also said that COVID-19 most resembles high-altitude sickness.
“It was as if tens of thousands of my fellow New Yorkers are stuck on a plane at 30,000 feet and the cabin pressure is slowly being let out. These patients are slowly being starved of oxygen. This is a disease that is different from anything we have ever seen." He urged other doctors who are working with these patients to speak up now.
“I am a physician who has been working at the bedside of COVID+ patients in NYC. I believe we are treating the wrong disease and that we must change what we are doing if we want to save as many lives as possible.”
“In February, South Korean physicians reported that critical Covid-19 patients responded well to oxygen therapy without a ventilator. Patients are getting multiple organ damage from hypoxia. It’s not the pneumonia that’s the killer, it’s the cellular oxygen deprivation. And we are hurting these patients with ventilators.”
Video:
Since cases reported by Dr Kyle Cameron-Sidell were never investigated fully, interesting fact is when he mentions patients being starved of oxygen.
In the article “5G Didn’t Cause the Coronavirus Pandemic But It Probably Made it Worse”, Dr. Mark Sircus says:
“When you hit oxygen molecules with 60 GHz millimeter wave emissions it affects the orbital properties of the electrons of the oxygen molecules. The 60 GHz range is known as the Oxygen Absorption Band. At 60GHz, 98% of electromagnetic energy is absorbed by O2. When 5G reaches the frequency band of 60 GHz, the ability for a person’s blood haemoglobin to bind with oxygen is hindered and this might explain, in part, why people in Wuhan just fell down dead in the streets, which is not a normal thing we see with viral infections.”
Also, some kind of exposure to different types of radiation is explained across medical websites that can possibly cause Radiation pneumonitis (such as chemotherapy for example) that will report side effects such as:
· shortness of breath
· hypoxemia- low oxygen levels in your blood, which can cause confusion and increased heart rate
· dry cough
· feeling of fullness in your chest
· flu-like symptoms
· metallic taste in the mouth
Same symptoms mentioned were reported in some hospitals from certain countries (not every country or hospital had same reports and again no full, proper investigation was done to understand fully which symptom was caused by what – everything was labelled as Covid19 by using PCR test that is known to show false positives since tool was not designed to detect infectious diseases).
Any mention of connection between exposure to 5G technology and symptoms displayed by those that were labelled as Covid19 are heavily censored on internet by major platforms such as Facebook, YouTube, Twitter and others.
This naturally made curious ones to question why such heavy censorship – if there is no connection between the two, would it not be easier to provide some scientific proof, provide an explanation to the concerned public and ease everyone’s minds. 5G rollout is being done without even one scientific peer reviewed study that would show safety of this technology for humans, animals, insects and plants and in which case safety is taking backseat to speed.
In July 2020 Study titled: “5G Technology and induction of coronavirus in skin cells” caused quite a stir when it was published, and it was soon retracted for the following reason:
“This article has been retracted at the request of the Editor. After a thorough investigation the Editor-in-Chief has retracted this article as it showed evidence of substantial manipulation of the peer review.
“Link to full copy of the study is still available on link below:
https://scienceintegritydigest.files.wordpress.com/2020/07/fioranelli.pdf
Video:
Another interesting study was made which shows direct relationship between “coronavirus” outbreaks and the presence of 5G networks
Original study paper is in Spanish, but it was translated in English by Claire Edwards:
Study of the correlation between cases of coronavirus and the presence of 5G networks
Author: Bartomeu Payeras i Cifre1
Available at www.tomeulamo.com/fitxers/264_CORONA-5G-d.pdf
Translated from the Spanish by Claire Edwards
Date: March-April 2020
The COVID-19 pandemic and its effects in early 2020 have surprised scientists and politicians. If any study aimed at understanding the phenomenon and which consequently may help to clarify the causes of the pandemic is carried out, it should be promoted and/or taken into consideration. The correlation between cases of coronavirus and the presence of 5G networks has been addressed in alternative media and social networks. It is noteworthy that, at least in Spain, the media have not covered the scientific studies on the subject of 5G, nor asked the government any questions about this in the daily press conferences that it conducts to report on the state of the situation. The team of scientists advising the Spanish government has also failed to raise this issue.
It is common sense that the ability to demonstrate this correlation would be very important data to contribute to the understanding of, and the solution to, the problem.
Objective
To assess whether a correlation exists between cases of coronavirus and the presence of 5G networks. Without entering for the moment into subsequent cause-effect approaches in the case of positive results. Given that there is a sufficiently large statistical sample, it is possible for the results obtained to have a high level of reliability.
Material and methods
The study has benefited from the official statistical material published daily, which is a basic and valuable tool. It should be noted that in these publications, the methodology used for counting cases of coronavirus infections does not generally provide real data. In Spain and many other countries, it has not been calculated as there are not enough tests for such analyses. However, this does not alter the results of this study since it is based on the comparative rather than the absolute method of infection. Therefore, in order to avoid statistical error, we will compare the density value of confirmed cases of coronavirus (expressed in number of cases per 1000 inhabitants) instead of absolute values. Since the criterion for counting used by the health authorities within the same state or city is the same, the comparison of published values for different cities or regions will be equally reliable for statistics. Comparisons between different countries of confirmed cases, excluding asymptomatic cases, will be equally reliable. The possible exception of some non-transparent country that could manipulate the publication of its data is beyond the control of this study.
The method used was to compare the incidence (no. of cases per 1000 inhabitants) between countries with and without 5G technology. Between regions of the same country with and without 5G technology. Between cities of the same state with and without 5G technology. Between different neighbourhoods of the same city with the 5G network map of that city. Comparing states with common borders with and without 5G technology. Comparing the case of one state within another, as is the case of San Marino.
– The data for each chart were taken on the same day. Graphic results and data published below:
1. Chart of the 9 countries with the most infections worldwide.
2. Chart and rates of infection of the 5 countries with the highest incidence in Europe.
3. Chart and rates of infection of 4 nearby countries at the same latitude: Portugal,
Spain, Italy, Greece.
4. San Marino: comparison of rates of infection with Italy and Croatia.
5. Italy: Incidence chart and 5G network.
6. Spain: 5G coverage chart and rates of infection.
7. Barcelona: Charts with 5G coverage and rates of infection.
8. Madrid: 5G coverage charts and rates of infection.
9. New York: coronavirus incidence chart and 5G network.
10. “Border effect” between Mexico and the USA.
11. Canada, USA and Mexico: chart of 5G networks and rates of infection.
12. Africa: 5G network chart.
13. Persian Gulf: 5G network and US military bases.
14. Chart and rates of infection of China and neighbouring countries.
1. CHART OF THE 9 COUNTRIES WITH THE MOST INFECTIONS WORLDWIDE
2. CHART AND RATES OF INFECTION OF THE 5 COUNTRIES WITH THE HIGHEST INCIDENCE IN EUROPE
3. CHART AND RATES OF INFECTION OF 4 NEARBY COUNTRIES AT THE SAME LATITUDE: PORTUGAL, SPAIN, ITALY, GREECE
4. SAN MARINO: COMPARISON OF RATES OF INFECTION WITH ITALY AND CROATIA
“Why San Marino? Because the self-contained nature of the state, and its relatively few restrictions on the use of radio frequency makes it the ideal place to test the latest development in telecoms connectivity.
“Telecom Italia intends to double the number of its mobile sites within the country and will additionally install a network of small cells in downtown San Marino.” https://www.fircroft.com/blogs/s an-marino-set-to-become-the- first-5g-country-72001910124
“Considering very small countries included the worst outbreak in the world is currently recorded in San Marino with 101 cases in a country of 33,400.”
5. ITALY: INCIDENCE CHART AND 5G NETWORK
6. SPAIN: 5G COVERAGE CHART AND RATES OF INFECTION
Data for cities with 5G should be related to the number of infections in those cities. Since data by city are not available, the comparison has been made with data for autonomous regions. This causes the data of the capitals to be diluted with those of their region.
This is why the comparison in autonomous regions with one or two provinces is more significant: Extremadura, Murcia, Madrid, Navarra, Rioja, Balearic Islands, Asturias or the Canary Islands. Also in Euskadi since the three capital cities have 5G.
7. BARCELONA: CHARTS WITH 5G COVERAGE AND RATES OF INFECTION
8. MADRID: 5G COVERAGE CHARTS AND RATES OF INFECTION
9. NEW YORK: CORONAVIRUS INCIDENCE CHART AND 5G NETWORK
10. “BORDER EFFECT” BETWEEN MEXICO AND THE USA
11. CANADA, USA AND MEXICO: CHART OF 5G NETWORKS AND RATES OF INFECTION
12. AFRICA: 5G NETWORK CHART
13. PERSIAN GULF: 5G NETWORK AND US MILITARY BASES
14. CHINA AND NEIGHBOURING COUNTRIES: CHART AND RATES OF INFECTION
Results and discussion
To know whether or not the result obtained is that of a random phenomenon, a statistical analysis of the results of an experiment must be carried to calculate the probability of the event occurring. The probability calculation is obtained by dividing the number of favourable cases by the number of possible cases. If the result shows that it is not a random phenomenon, it shows sufficient causal reason to analyse the causes.
To eliminate any upward errors, we will always opt for the most conservative numerical option.
Let us therefore calculate the probability of three of the examples analysed above.
(a) Probability that the 9 most contagious countries on the planet are countries with 5G networks.
There are 194 countries on the planet. As of 6 March 2020, according to GSMA, there are 24 countries with 5G technology.
Pr = 24/194 x 23/193 x 22/192 (nine times in total) = 0.1237 x 0.1191 x 0.1145 x 0.1099 x 0.1052 x 0.1005 x 0.0957 x 0.0909 x 0.0860 = = 1.47 x 10 (high -9 ).
The probability is 1 in 680,000,000.
If we include Japan, which also has 5G and rates of infection similar to those of South Korea …the probability is 1 in 8,500,000,000.
(b) Probability that the 5 most contagious countries in Europe have 5G networks.
There are 49 countries in Europe, among which it is currently difficult to know if they currently deploy 5G, as there are 5 that have declared a moratorium, and many others do not have operational networks although companies publish as if they were already operational when they have signed agreements. We will calculate it downwards, as a conservative option, we will assume that about 15 countries have operational 5G systems.
Pr = 15/49 x 14/48 x 13/47 x 12/46 x 11/45 = 0.00157.
The probability is 1 in 637.
(c) The case of San Marino is highly significant. It is located within the Italian territory, with a similar culture, economy, and social level, but presents much higher rates of infection. The only difference is the time of exposure of its citizens to 5G radiation, because it was the first state in the world to implement such technology on 4 September 2018, while in Italy it was 5 June 2019. This opens the door to debate about the likely influence of 5G on the increase in the rates of infection.
Pr = 1/194 x 1/194.
The probability is 1 in 37,636.
These figures are eloquent enough to make calculating the other cases unnecessary.
The results for the city of Barcelona (pp. 7-8) indicate that sociological factors do not have a significant influence on the rates of infection, but if we see a clear relationship with the 5G coverage map, which added to the 4G coverage, gives us a correlation between mobile coverage and the proportion of cases of coronavirus. If more data were available, this study should be extended to other cities.
Findings
1. The results obtained demonstrate a clear and close relationship between the rate of coronavirus infections and 5G antenna location.
2. This study does not analyse the beneficial or harmful effects on humans of 5G electromagnetic radiation. However, it does indicate a possible cause-effect in the current pandemic.
3. A “border effect” is significant, original and unique to this pandemic: it presents marked differences between contiguous states with and without 5G installation. it is particularly significant that the countries bordering China have very low rates of infection. One may also compare between Mexico and the USA or between Portugal and Spain, etc.
4. The case of San Marino is particularly significant. It was the first state in the world to install 5G and therefore, the state whose citizens have been exposed to 5G radiation the longest, and suspiciously, the first state in the world with infections. The probability of this happening is 1 in 37,636.
5. In the cities studied, Madrid, Barcelona and New York, this correlation is also observed. In the study of the city of Barcelona (pp. 7-8), it can be seen that the socio- economic factor plays a significant role.2
6. It is very significant that on the African continent, with scarce health resources but without 5G, the rate of infection is very low, except for some antennas in South Africa, which also presents the highest rates of infection in Africa.
7. The rates of infection are diluted. The rates of some regions are influenced by cities with 5G, but the rates of infection of these cities are diluted in those of the region to which they belong. So it is more significant, as is the case of Spain, to compare uniprovincial autonomous regions, than among those that are formed by 3 or more of the old provinces. Thus we see that some regions with 5G such as Rioja, Madrid and Navarra, have rates between 4 and 8 times higher than others without 5G. The same is true in other cities around the world where the 5G network does not cover the entire territory of the state or region.
8. These data and results have the value of being taken “in vivo”, not based on prospective or laboratory studies. Never before have we had so much epidemiological information about a disease in humans to be able to produce scientific studies. A means of answering the question of cause and effect would be to disconnect the 5G networks, at least as a preventive measure, and see the results of the evolution of cases of coronavirus. So would studying the rate of infection in a state that declared a 5G moratorium after the pandemic started and studying if the statistics change. Given the evidence presented here, the data and conclusions of this study urgently need to be given due consideration. Given the current gravity of the pandemic, the media and political and health authorities have a responsibility to take urgent action. A failure to act in the face of the findings of this study could be considered negligent at the very least and very possibly criminal.
Bartomeu Payeras i Cifre, 14 April 2020
2 Translator’s note: there is a contradiction between the last paragraph of the section entitled “Results and discussion” and paragraph 5 of the section entitled “Findings”. In one it is stated that “sociological factors do not have a significant influence on rates of infection”, and in the other it is stated that they do.
Footnotes
1 Bartomeu Payeras i Cifre is a biologist specialising in microbiology working at the University of Barcelona who has published several research papers. He worked on and researched smallpox bacteria and viruses at the Hubber pharmaceutical laboratories in Barcelona. He created and worked in the Department of Marine Microbiology at the Oceanographic Laboratory of Palma de Mallorca. Clinical analysis at Centre d’Analisis Clinicos in Palma. Genetic engineering: episodic exchange between Paracolobacter and Citrobacter C-3 with bacteriophage. Biogram, method for assessing vitamin B12 activity. Study of marine bacterial contamination in the Port of Maon. Professor of Mathematics, Physics and Chemistry and Biology at IEM. Discoverer of the Dali code with which he encrypted his gifts in his paintings.
Video :
Same study is not being accepted for publication in journals. That’s because the journals are likely controlled by the same establishments that run and support the wireless industry.
The more time passes, more doctors and scientists are also coming up with conclusions that:
· No one can find that Covid was isolated, purified and proven to be cause of disease - no Gold standard for it
· Also PCR test is not meant to be used to identify a virus or to be used for detecting infectious diseases
As we know according to many peer reviewed studies that are available and that show harmful effects on one’s health including DNA damage, brain and heart tumors, infertility among many others which are caused by wireless technology which include 3G and 4G.As 5G will occupy from 30 GHz to 300 GHz, which are shorter millimeter wavelengths for which health effects of consistent exposure to pulses of these wavelengths have not been thoroughly studied and is being more and more introduced and launched across the globe, it “happened” that we found ourselves suddenly in a “pandemic” situation. It has been reported that certain countries had patients with more severe symptoms then others.
As many people found themselves working remotely due to “pandemic” this presented itself as great opportunity for regulators to move 5G forward.
One big question that raises is how can one know who is operating behind those 5G frequencies and how can one be sure that they are not used in any way one desires? (For example, the U.S. Department of Defense (DOD) is using MMW (milimeter waves)in crowd control weapons called the Active Denial System because it produces a severe burning sensation. The DOD writes, “The Active Denial System generates a focused and very directional millimeter-wave radio frequency beam.”)
Video:
One of significant problems with 5G technology is use of MMW which is known to penetrate human tissue up to 2 millimeters, where it is absorbed by the surface of the cornea and is conducted by sweat glands within the skin. Each of these factors leads to an association with a number of potential health problems.
MMW is also known to suppress your immune function and increase cellular stress, harmful free radicals, learning deficits and, potentially, bacterial antibiotic resistance. There is nothing to suggest that 5G will produce less harm than the current technology, and there are thousands of studies demonstrating the harmful effects from that.
Research by Martin Pall, Ph.D., (Professor Emeritus of Biochemistry and Basic Medical Sciences) details how excessive oxidative stress triggered by microwave exposure from wireless technology can lead to reproductive harm and neurological disorders, such as anxiety, depression, autism and Alzheimer’s.
Read here letter sent to various organizations by Dr Martin Pall titled - “5G: Great risk for EU, U.S. and International Health! Compelling Evidence for Eight Distinct Types of Great Harm Caused by Electromagnetic Field (EMF)Exposures and the Mechanism that Causes Them” - :
https://s3.amazonaws.com/nghl-ntge/pall-to-eu-on-5g-harm-march-2018.pdf
Video:
Following the passage of New Hampshire House Bill 522 (http://emfsafetynetwork.org/wp-content/uploads/2020/11/NH-State-5G-final-report-2020.pdf) , the New Hampshire legislative Commission to Study the Environmental and Health Effects of Evolving 5G Technology was formed. The commission was engaged to “study the environmental and health effects of 5G wireless technology in 2019.”
The commission was made up of 13 members whose education included epidemiology, occupational health, toxicology, physics, engineering electromagnetics and a representative from the wireless industry. As quoted from EMF Safety Network, the commission was asked to answer eight pointed questions, including:
· Why thousands of peer-reviewed radio frequency (RF) studies that show a wide range of health effects, including DNA damage, brain and heart tumors, infertility and many other ailments, have been ignored by the Federal Communication Commission (FCC).
· Why the FCC guidelines do not account for health effects of wireless technology.
· Why the FCC RF limits are 100 times higher than those in other countries.
· Why the FCC is ignoring the World Health Organization classification of wireless as a possible carcinogen.
· Why, when the world’s leading scientists signed an appeal to protect public health from wireless radiation, nothing has been done.
The commission heard from experts and ultimately all except the telecommunication representative acknowledged that RF radiation coming from wireless devices had an effect on humans, animals, insects and plants. The commission wrote:
“There is mounting evidence that DNA damage can occur from radiation outside of the ionizing part of the spectrum. The Commission heard arguments on both sides of this issue with many now saying there are findings showing biological effects in this range. This argument gets amplified as millimeter waves within the microwave range are beginning to be utilized.”
Their first recommendation was “an independent review of the current RF standards of the electromagnetic radiation in the 300MHz to 300GHz microwave spectrum” to assess the health risks that were linked to cellular communications.
The remaining recommendations included those that would reduce an individual’s exposure to the 5G network and increase the public’s knowledge and awareness of their exposure.
Included was a shorter minority report written by the business and industry representative and the telecommunications representative, who were not in agreement with the majority of experts.
The EMF Safety Network wrote, “This minority report parrots the language of the telecommunications industry and exposes their agenda to ignore science and continue to confuse the public.”
http://www.tomeulamo.com/fitxers/264_CORONA-5G-d.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244914/
https://publicwatchdogs.org/that-metallic-taste-its-possible-youve-been-irradiated/
https://www.verywellhealth.com/radiation-pneumonitis-symptoms-and-treatment-2249341
https://www.europereloaded.com/landmark-5g-study-highlights-health-threats/
