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Continued From Last Post
Before going any further, it is necessary to introduce a metaphor.
Suppose there are 10 automobile manufacturers: Companies B1, B2, B3, B4 and B5 (the "B companies"), and also Companies G1, G2, G3, G4 and G5 (the "G" companies). Suppose the B companies make cars that start to break down after 50,000 miles, just after the warranty runs out (the "B" stands for Bad). Suppose that after 100,000 miles virtually all of the cars manufactured by the B companies have needed a new engine, a new transmission, and a new air conditioner, just to name three things their cars routinely need. In fact, these companies buy cheap parts and charge outrageous prices for their poorly built cars. They also use 80 year old metal technology to insure their customers have to buy new cars every 3 or 4 years.
Suppose also that the G companies make cars that last an average of 300,000 miles without any major repairs (the "G" stands for "Good"). They buy quality parts for their cars, build them extremely well, use the newest metal technologies, etc. in building their cars.
Suppose also the B companies are the much older, much larger and much richer companies. By virtue of their age and size, their advertising money is many times greater than the advertising money of the G companies. Since the media are always loyal to their advertisers, the media always does what the B companies want them to do and always say what the B companies want them to say. It's not that the B companies "tell" them what to say, that is not necessary. What happens is that if the media says something that makes the B companies angry, the B companies will withdraw their advertising money and give that money to a competing media company that follows the rules. Everyone knows the rules.
Suppose we define the "life" of a car to be the number of miles the original engine lasts. For the B companies the average "life" of their cars would be less than 100,000 miles. For the G companies the average "life" of their cars would be greater than 300,000 miles.
Suppose we refuse to allow air conditioners to be replaced when they break and define the "quality of life" of a car to be the number of miles the original air conditioner lasts. Again, for the B companies the average "quality of life" of their cars would be much less than the "quality of life" for the cars of the G companies.
Suppose we define the "strength of movement" of a car to be the number of miles the original transmission lasts. Again, for the B companies the average "strength of movement" of their cars would be much less than the "strength of movement" for the cars of the G companies.
If we built a chart comparing the cars of the B companies to the cars of the G companies, with these three statistics accurately reflected, no one in their right mind would buy a car built by a B company.
But remember that the B companies have the most money and the most clout with the media. So what can they do to get customers? They can do a lot of things that distract potential customers from the important statistics. But the most important thing they will do is suppress these statistics. Their goal is to divert people's attention from the statistics (which are suppressed) and get them to think of other things.
For example, in their advertisements they can talk about the "style" of their cars, the "popularity" of their cars or how "powerful" their engines are. They can advertise their cars using pretty women who look lonely, giving the impression that someone who buys one of their cars will be seduced by every pretty woman in town. They can talk about the options available on the car. They can do a lot of things to avoid talking about the three important statistics I just defined. They can sell a lot of cars by distracting their potential customers from the data (i.e. from the truth). It could be called "selling by deception."
That is essentially what the medical community has done with orthodox medicine nomenclature. The most popular phrase heard in orthodox medicine is "remission." Orthodox treatments "put people in remission." That sounds really good. It sounds like everyone should get cancer so they can go into remission. However, as I will show, the word "remission" can be equated to the pretty woman in the advertisement. It is a nice sounding word, and it attracts millions of customers, but it distracts these "customers" from the statistics that are important.
What Does "Remission" Really Mean?
First of all, the National Cancer Institute defines "remission" as:
"A decrease in or disappearance of signs and symptoms of cancer. In partial remission, some, but not all, signs and symptoms of cancer have disappeared. In complete remission, all signs and symptoms of cancer have disappeared, although cancer still may be in the body."
What exactly does this definition mean relative to the three "treatment decision criteria" mentioned above. You, the citizen, are supposed to assume that "remission" means a person is cured of their cancer. But that is not what the definition states. It states there is an absence of "signs and symptoms." So is there a correlation between the absence of "signs and symptoms" and the three treatment decision criteria above?
Generally, the determination of remission is based on a reduction in the size of the tumor or in the change of some tumor marker. These things may indicate the number of cancer cells in the body, but they are very, very crude estimates of the number of cancer cells in the body. These numbers also do not measure the pain and suffering of the patient (i.e. the quality of life) or the status of the immune system, which is very, very important if all of the cancer cells have not been killed.
Make no mistake about it, chemotherapy and radiation shrink the size of tumors. They also kill cancer cells, lots of them. But in the process of doing these things there are potentially dozens of side effects, such as: death, destruction of a major organ, intense pain, extreme sickness, etc. and the death of many, many normal cells. Chemotherapy does not discriminate between normal cells and cancerous cells, and since there are more normal cells than cancer cells, chemotherapy kills far more normal cells than cancerous cells.
So it is logical to think that the concept of "remission" tells us quantitatively what the "length of life since diagnosis" is? Let us break down the "length of life since diagnosis" into its pieces using the concept of remission:
What percentage of people die before they go into "remission?"
What is the average "length of life since diagnosis" for those who die before they go into remission?
What percentage of people live long enough to go into remission
and die of cancer or cancer treatments (directly or indirectly) while they are in remission?
What is the average "length of live since diagnosis" for those who survive long enough to go into remission and die while they are in remission?
What percentage of people go into remission and later get cancer again
(either the same type of cancer or some other type of cancer) and thus come out of remission and become cancer patients again? What is the average "length of life since diagnosis" for those who come out of remission and get cancer again?
What percentage of people who go into remission are actually "cured,"
meaning they never get cancer again and do not die of anything related to their cancer or their cancer treatments? What is the average "length of life since diagnosis" for those who are actually "cured" of their cancer?
If we had all of these statistics, we could calculate the "length of life since diagnosis" for cancer patients using orthodox treatments. In fact, I would love to see all of the above statistics for orthodox medicine patients. But of course these statistics are not available. There is simply a lot of hoopla that people "go into remission."
Is it possible that the whole concept of "remission" is designed to hide simple statistics that would tell us how effective or ineffective chemotherapy and other orthodox treatments are? In other words, it is so very simple to calculate the "length of life since diagnosis" for orthodox medicine patients, why isn't it just calculated? Why is something so simple made into something so complicated?
It would be an easy thing to calculate the "length of life since diagnosis" for people who refuse treatment. Doctors say it would be unethical to ask people to not take orthodox treatments, but there are plenty of people who refuse treatment, so why not calculate how long they live since diagnosis? Then this number could be compared to a very simple "length of life since diagnosis" for cancer patients who go through orthodox treatments (of course the patients in each group would have to be grouped by sex, age at diagnosis, type of cancer and stage of cancer at diagnosis).
If we had the "length of life since diagnosis" for patients who took orthodox treatments, and compared this number to a similar group of patients who had refused treatments, we could quickly tell whether orthodox treatments were any good. But none of this data is kept, it must be dug out.
"My studies have proved conclusively that untreated cancer victims live up to four times longer than treated individuals. If one has cancer and opts to do nothing at all, he will live longer and feel better than if he undergoes radiation, chemotherapy or surgery, other than when used in immediate life-threatening situations."
Prof Jones. (1956 Transactions of the N.Y. Academy of Medical Sciences, vol 6. There is a fifty page article by Hardin Jones of National Cancer Institute of Bethesda, Maryland. He surveyed global cancer of all types and compared the untreated and the treated, to conclude that the untreated outlives the treated, both in terms of quality and in terms of quantity.")
If the real data would lead to the conclusion that people who go on orthodox treatments live significantly longer than people who refuse treatments, or refuse treatments and take an alternative treatment, you can rest assured the orthodox medicical community would keep these statistics. But they don't keep those statistics, which leads a logical person to conclude they have something to hide.
"A German epidemiologist from the Heidelberg/Mannheim Tumor Clinic, Dr Ulrich Abel, has done a comprehensive review and analysis of every major study and clinical trial of chemotherapy ever done. His conclusions should be read by anyone who is about to embark on the Chemo Express. To make sure he had reviewed everything ever published on chemotherapy, Abel sent letters to over 350 medical centers around the world, asking them to send him anything they had published on the subject. Abel researched thousands of articles: it is unlikely that anyone in the world knows more about chemotherapy than he.
"The analysis took him several years, but the results are astounding: Abel found that
The overall worldwide success rate of chemotherapy was 'appalling'
because there was simply no scientific evidence available anywhere that chemotherapy can 'extend in any appreciable way the lives of patients suffering from the most common organic cancers'. Abel emphasizes that chemotherapy rarely can improve the quality of life. He describes chemotherapy as 'a scientific wasteland' and states that at least 80 per cent of chemotherapy administered throughout the world is worthless and is akin to the 'emperor's new clothes'--neither doctor nor patient is willing to give up on chemotherapy, even though there is no scientific evidence that it works! (Lancet, 10 August 1991) No mainstream media even mentioned this comprehensive study: it was totally buried. "
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