Tuesday, 4 December 2012

smokers die younger?

Arnott once again raises the myth that smokers die prematurely; this is easily refuted.Allow me to give you an example of why these studies show misleading results Suppose that you were to compare the mortality of people who did their main grocery shop at a discount store, to the mortality of people who shopped at an expensive/high-end grocery store, You would most likely find that the people who shopped at the discount store died younger than those who shopped at the up-market store. You might (erroneously) conclude that it was the products being consumed that affected mortality, when in reality the two groups are not directly comparable, as people who shop at up-market stores tend to be wealthier and live longer anyway . This scenario explains why for example, cigar smokers appear to live longer than non-smokers. The reason being that cigar smokers are over represented in the most affluent echelons of society. Professor Peter Finch , when analysing Australian smoking mortality, found a difference in life expectancy of only a few days. this might be explained by the fact that Australia is a society that has a less noticeable differential between rich and poor.

Friday, 14 September 2012

Medical studies

If you wish to find out something about a particular population , and it is not feasible to test the whole population, then you may test a sample of that population providing that the sample is an accurate refection of the population. In order to get a valid sample one needs to select randomly across the the entire population. Something to be avoided is self-selection.; this is in fact the major flaw in virtually all drug trials, in that they ask for volunteers, and this leads to bias. You might be thinking What's wrong with using volunteers?
Well, consider the following: Suppose you wished to ascertain the feeling of the general public towards the recent Olympic games. You might perhaps create a web-site asking people to complete a survey about the games. The flaw in the sample is here quite easy to spot. Only those who were interested in the games would volunteer, and therefore your sample would not reflect the the general population, some of whom must not be interested in the games.
This sampling problem is of course due to having to obtain consent from the subject when dealing with human-beings, you can't force people to take part.. Although the US government have done precisely that in the past. Chemical and biological weapons were used on civilian populations without their consent in the following locations:
Watertown, NY and US Virgin Islands (1950)  SF Bay Area (1950, 1957-67)  Minneapolis (1953)  St. Louis (1953)  Washington, DC Area (1953, 1967)  Florida (1955)  Savannah GA/Avon Park, FL (1956-58)  New York City (1956, 1966)  Chicago (1960)

One type of study that does not suffer from this flaw is a mortality study. So for instance you might wish to find out if LDL cholesterol increases mortality .from heart disease Here you can simple select a period , say a year, and then record the age of death and the LDL cholesterol level of the deceased,
In fact a major study along these lines was conducted along these lines:
In an eight-year study of about 26,000 men and women in Isehara, Kanagawa Prefecture, the death rate of men whose LDL cholesterol levels were between 100 mg/dl and 160 mg/dl was low, while the rate rose for those with LDL cholesterol levels of less than 100 mg/dl. The LDL figures exhibited less influence on women, but the death rate still rose for women with LDL cholesterol levels less than 120 mg/dl. A separate study of 16,850 patients nationwide who suffered cerebral stroke showed the death rate of people with hyperlipemia who died from a cerebral stroke was lower, and their symptoms more slight. http://www.spokesman.com/stories/2010/sep/28/japan-study-high-ldl-has-lower-death-rate-than/

Tuesday, 4 September 2012

It is a complete myth that smokers die prematurely smoking rarely kills male ever-smokers before 50 years of age and female ever-smokers before 55 years of age, and does so very rarely at earlier ages. While deaths attributed to smoking do occur much more frequently with increasing age, so too do deaths from other causes and it is not clear how the ever-smoker's age-increasing annual risk of death due to his or her smoking should be apportioned between smoking on the one hand and simply aging on the other. The anti-smoking movement's message that smoking kills has to be interpreted from the balanced perspective of not only how likely it is to do so; but of how likely it is that other causes will pre-empt that possibility by leading to death before it eventuates. For instance, while it may be a cause of concern to a 65 to 69 year old male ever-smoker, and to a 70 to 74 year old female ever-smoker to be told that they have a yearly chance of about 1 in 100 that their smoking will kill them,that particular concern will not, perhaps, seem quite so overwhelming when they learn that, in any event, they also have about a 1 in 50 chance that they will die from other causes. To put the extreme case, an 80 plus year old ever-smoker is unlikely to be overly concerned that he or she has about a 1 in 30 yearly chance that it is their smoking that will kill them, when the yearly chance that other causes will do so is about 1 in 10. extract from The Smoking Epidemic: Death and Sickness among Australian Smokers Prof.Peter D. Finch http://members.iinet.net.au/~ray/finch2.pdf

Friday, 27 July 2012


I live in a small university town. I often chat with under-graduates and am constantly surprised to find that my old O-level grasp of their subject is usually as good as, if not better than, theirs. Why is that, when educational standards have never been higher?

Thursday, 28 June 2012

Bad words part 1


There is no such word as pro-active

You can act or react, but you cannot pro-act
You may be active or passive, but you can never be pro-active

Tuesday, 19 June 2012

The Scientific Scandal of Antismoking By J. R. Johnstone, PhD (Monash) and P.D.Finch, Emeritus Professor of Mathematical Statistics (Monash) Science is not always a neutral, disinterested search for knowledge, although it may often seem that way to the outsider. Sometimes the story can be very different. Smoking and health have been the subject of argument since tobacco was introduced to Europe in the sixteenth century. King James I was a pioneer antismoker. In 1604 he declared that smoking was "a custome lothsome to the eye, hatefull to the Nose, harmefull to the braine, dangerous to the Lungs, and in the blacke stinking fume thereof, neerest resembling the horrible Stigian smoke of the pit that is bottomelesse." But like many a politician since, he decided that taxing tobacco was a more sensible option than banning it. By the end of the century general opinion had changed. The Royal College of Physicians of London promoted smoking for its benefits to health and advised which brands were best. Smoking was compulsory in schools. An Eton schoolboy later recalled that "he was never whipped so much in his life as he was one morning for not smoking". As recently as 1942 Price’s textbook of medicine recommended smoking to relieve asthma. These strong opinions for and against smoking were not supported by much evidence either way until 1950 when Richard Doll and Bradford Hill showed that smokers seemed more likely to develop lung cancer. A campaign was begun to limit smoking. But Sir Ronald Fisher, arguably the greatest statistician of the 20th century, had noticed a bizarre anomaly in their results. Doll and Hill had asked their subjects if they inhaled. Fisher showed that men who inhaled were significantly less likely to develop lung cancer than non-inhalers. As Fisher said, "even equality would be a fair knock-out for the theory that smoke in the lung causes cancer." Doll and Hill decided to follow their preliminary work with a much larger and protracted study. British doctors were asked to take part as subjects. 40.000 volunteered and 20,000 refused. The relative health of smokers, nonsmokers and particularly ex-smokers would be compared over the course of future years. In this trial smokers would no longer be asked whether they inhaled, in spite of the earlier result. Fisher commented: "I suppose the subject of inhaling had become distasteful to the research workers, and they just wanted to hear as little about inhaling as possible". And: "Should not these workers have let the world know not only that they had discovered the cause of lung cancer (cigarettes) but also that they had discovered the means of its prevention (inhaling cigarette smoke)? How had the MRC [Medical Research Council] the heart to withhold this information from the thousands who would otherwise die of lung cancer?" Five year’s later, in 1964, Doll and Hill responded to this damning criticism. They did not explain why they had withdrawn the question about inhaling. Instead they complained that Fisher had not examined their more recent results but they agreed their results were mystifying. Fisher had died 2 years earlier and could not reply. This refusal to consider conflicting evidence is the negation of the scientific method. It has been the hallmark of fifty years of antismoking propaganda and what with good reason may well be described as one of the greatest scandals in 500 years of modern science. A typical example of such deception appeared in the same year from the American Surgeon General. This was "Smoking and Health", the first of many reports on smoking and health to be produced by his office over the next 40 years. It declared that in the Doll and Hill study "…no difference in the proportion of smokers inhaling was found among male and female cases and controls." Fisher had shown this was not so. Fisher’s assessment and criticism of the Doll and Hill results is not mentioned, not even to be rejected. Unwelcome results are not merely considered and rejected. They cease to exist. The work of Doll and Hill was continued and followed up over the next 50 years. They reintroduced the question about inhaling. Their results continued to show the inhaling/noninhaling paradox. In spite of this defect their work was to become the keystone of the modern anti-smoking movement: Defects count for nothing if they are never considered by those who are appointed to assess the evidence. But their work had a far more serious and crippling disability. From its inception the British doctors study was known to have a critical weakness. Its subjects were not selected randomly by the investigators but had decided for themselves to be smokers, nonsmokers or ex-smokers. The kind of error that can result from such non-random selection was well demonstrated during the 1948 US presidential election. Opinion polls showed that Dewey would win by a landslide from Truman. Yet Truman won. He was famously photographed holding a newspaper with a headline declaring Dewey the winner. The pollsters had got it wrong by doing a telephone poll which at that time would have targeted the wealthier voters. The majority of telephone owners may have supported Dewey but those without telephones had not. A true sample of the population had not been obtained. The new Doll and Hill study was subject to a similar error. Smokers who became ex-smokers might have done so because they were ill and hoped quitting would improve them. Alternatively, they might quit because they were exceptionally healthy and hoped to remain so. Quitting could appear either harmful or beneficial. To avoid this source of error another project, the Whitehall study, was begun. In 1968 fourteen hundred British civil servants, all smokers, were divided into two similar groups. Half were encouraged and counselled to quit smoking. These formed the test group. The others, the control group, were left to their own devices. For ten years both groups were monitored with respect to their health and smoking status. Such a study is known as a randomised controlled intervention trial. It has become increasingly the benchmark, or as it is often referred to, the "gold standard" of medical investigation. Any week you can open The Lancet or British Medical Journal and you will likely find an example of such a trial to determine the benefits or harm of some new therapy. Such trials are fundamentally different to that of Doll and Hill. This is ironic because Hill had published the influential and much-reprinted textbook "Principles of Medical Statistics" where he considers the relative merits of controlled and uncontrolled trials. His praise is reserved for the former. Of the latter he is particularly critical: Such work uses "second-best" or "inferior" methods. "The same objections must be made to the contrasting in a trial of volunteers for a treatment with those who do not volunteer, or in everyday life between those who accept and those who refuse. There can be no knowledge that such groups are comparable; and the onus lies wholly, it may justly be maintained, upon the experimenter to prove that they are comparable, before his results can be accepted." This criticism by Hill can accurately be applied to the Doll and Hill study. According to Hill’s own criteria, his work with Doll can only be described as second-rate, inferior work. It would be for others to conduct properly controlled trials. So what were the results of the Whitehall study? They were contrary to all expectation. The quit group showed no improvement in life expectancy. Nor was there any change in the death rates due to heart disease, lung cancer, or any other cause with one exception: certain other cancers were more than twice as common in the quit group. Later, after twenty years there was still no benefit in life expectancy for the quit group. Over the next decade the results of other similar trials appeared. It had been argued that if an improvement in one life-style factor, smoking, were of benefit, then an improvement in several - eg smoking, diet and exercise - should produce even clearer benefits. And so appeared the results of the whimsically acronymed Multiple Risk Factor Intervention Trial or MRFIT, with its 12,886 American subjects. Similarly, in Europe 60,881 subjects in four countries took part in the WHO Collaborative Trial. In Sweden the Goteborg study had 30,022 subjects. These were enormously expensive, wide-spread and time-consuming experiments. In all, there were 6 such trials with a total of over a hundred thousand subjects each engaged for an average of 7.4 years, a grand total of nearly 800,000 subject-years. The results of all were uniform, forthright and unequivocal: giving up smoking, even when fortified by improved diet and exercise, produced no increase in life expectancy. Nor was there any change in the death rate for heart disease or for cancer. A decade of expensive and protracted research had produced a quite unexpected result. During this same period, in America, the Surgeon General had been issuing a number of publications about smoking and health. In 1982, before the final results of the Whitehall study had been published, the then Surgeon General C. Everett Koop had praised the study for "pointing up the positive consequences of smoking in a positive manner". But now for nearly ten years he fell silent on the subject and there was no further mention of the Whitehall study nor of the other six studies, though thousands of pages on the dangers of smoking issued from his office. For example in 1989 there appeared "Reducing the Health Consequences of Smoking: 25 Years of Progress". This weighty work is long on advice about the benefits of giving up smoking but short on discussion of the very studies which should allow the evaluation of that advice: you will look in vain through the thousand references to scientific papers for any mention of the Whitehall study or most of the other six quit studies. Only the MRFIT study is mentioned, and then falsely: "The MRFIT study shows that smoking status and number of cigarettes smoked per day have remained powerful predictors for total mortality and the development of CHD [coronary heart disease], stroke, cancer, and COPD [chronic obstructive pulmonary disease]. In the study population, there were an estimated 2,249 (29 percent) excess deaths due to smoking, of which 35 percent were from CHD and 21 percent from lung cancer. The nonsmoker-former smoker group had 30 percent fewer total cancers than the smoking group over the 6-year follow up." This was untrue, as the Surgeon General was later to admit. What the MRFIT authors themselves had to say about their work was quite different: "In conclusion we have shown that it is possible to apply an intensive long-term intervention program against three coronary risk factors with considerable success in terms of risk factor changes. The overall results do not show a beneficial effect on CHD or total mortality from this multifactor intervention." (Multiple Risk Factor Intervention Trial Research Group, 1982) But in 1990 the Surgeon General published "The Health Benefits of Smoking Cessation" and at last the subject was addressed. The Whitehall study was rejected because of its "small size". A once praiseworthy study had become blameworthy. The MRFIT results were described, this time truthfully: "there was no difference in total mortality between the special intervention [quit] and usual care groups." This and the other studies were rejected because the combined change in other factors - eg diet and exercise - made it impossible to apportion benefit due to smoking alone. This is absurd and illogical reasoning. If, say, a 10% improvement in life expectancy had been found then it might indeed be difficult if not impossible to say how much was due to smoking alone. But there was no improvement. There was nothing to apportion. Nevertheless, with such deceptive words the Surgeon General turned to an unpublished, unreviewed, un-controlled, non-intervention, non-randomised survey conducted for the American Cancer Society ("American Cancer Society: Unpublished tabulations"). The gold standard of modern science was rejected and replaced by the debased currency of what is by comparison little better than opinion and gossip. This rejection of consistent results from controlled trials and the acceptance of far inferior data would not be countenanced in any other area of medical science. Anyone who suggested doing so would be met with howls of derision and questions as to their intelligence if not their sanity. But where smoking and health are being considered this debasement of science is commonplace and passes without comment. In Australia in the same year there appeared a similar publication "The Quantification of Drug Caused (sic) Mortality and Morbidity in Australia" from the Federal Department of Community Services and Health. Its authors waste no time in discussing intervention trials. These receive not a mention, not even to be rejected. Instead the authors turned to several surveys of the kind ultimately used by the Surgeon General. In particular they used yet another study conducted for the American Cancer Society by E.C.Hammond, a gigantic study of a million subjects, another uncontrolled, non-intervention, non-randomised survey. This was a particularly bad choice. The dangers of very large surveys are well known to statisticians: because of their size it is difficult to do them accurately. The flaws in Hammond’s work were revealed when the initial results were published in 1954. Hammond himself was later to admit that his study had not been conducted as he had intended and as a consequence his results are to an unknown extent erroneous. But it was worse than that. His work became literally a textbook example of how not to do research. It can be found as example 287 in "Statistics A New Approach" by W.A.Wallis and H.V.Roberts. This was the ignominious and undignified fate of work which should only be quoted as a salutary example of the pitfalls which can await the researcher. Two problems bedevil both Hammond’s work and other similar studies. First, some of the volunteers who enrolled their subjects told Hammond that contrary to his instructions they had selectively targeted ill smokers. These results he was able to scrap but necessarily an unknown proportion of his final results must be suspect. Second, as was demonstrated at the time, his subjects were quite unrepresentative of the general public in a number of respects. In particular, there were relatively few smokers. It seems quite plausible that many healthy if indignant smokers would refuse to take part in his trial and this would produce such an aberration. These two vitiating defects are of the kind which have led to the widespread preference for gold standard trials. But the continuation of Hammond’s work, with its demonstrated faulty methodology, was used by the Australian authors to deduce that smoking causes premature death to the extent of 17,800 per year in Australia. Their conclusions should be compared with the results of a survey by the Australian Statistician in 1991 of 22,200 households, chosen at random. This showed "long term conditions", including cancer and heart disease, to be more common in non-smokers than smokers. Even if they had used sound data to calculate deaths caused by smoking, this still would not have shown that smoking is overall harmful or causes an excess of deaths. Antibiotics kill some susceptible, allergic individuals but this fact does not show that antibiotics reduce life expectancy. If the data used by these authors is examined more closely it can in fact be shown that the mean age at death from smoking-related causes (eg lung cancer) is about 1 year greater than from nonsmoking-related causes (eg tetanus). See: http://members.iinet.net.au/~ray/finch2.pdf for details. This result does not necessarily show that smokers live longer than nonsmokers: smokers as well as nonsmokers die from both nonsmoking-related causes and smoking-related causes. But it is certainly not evidence for the belief that smoking reduces life expectancy. During all this time health authorities have repeatedly and persistently lied to the public. Consider just one of innumerable examples. In June 1988, in Western Australia the Health Department in full page advertisements in local papers declared: "The statistics are frightening. Smoking will kill almost 700 women in Western Australia this year. If present trends continue, lung cancer will soon overtake breast cancer as the most common malignant cancer in women". What was frightening was not the statistics but the fact that a Health Department should lie about them. In 1987 the same Health Department in its own publications had said: "Suggestions by some commentators that lung cancer deaths in women will overtake breast cancer deaths in the next few years look increasingly unlikely…female lung cancer death rates have fallen for the last 2 years." It was predicted that breast cancer would far outweigh lung cancer for the next 14 years. What the public were told was not just an untruth but the reverse of the truth. This is classic Orwellian Newspeak. The public are given what George Orwell in "1984" named "prolefeed" – lies. Orwell must have smiled wryly in his grave. Above all has been the repeated and world-wide directive that smokers should quit and live longer when every controlled trial without exception has demonstrated this claim to be false. Is there anything that can be said with certainty about the health and life expectancy of smokers and non-smokers? The evidence indicates little difference. One important fact often causes confusion: an agent can be a certain cause of death and yet have the effect of extending life. Smoking could be a major cause of lung cancer or even the only cause yet also be associated with long life. The Japanese are amongst the heaviest smokers in the world. They also live the longest. The Frenchwoman Jeanne Calment smoked for a hundred years before dying at 122 as the world’s oldest ever person. The resolution of this paradox lies in the simple fact that most agents have both good and bad effects on health and life expectancy and it is the net result which is of primary importance. This simple but crucial fact is often ignored or forgotten by medical researchers. Coffee causes pancreatic cancer says the newspaper article. Perhaps it does, but if it has a bigger and beneficial effect on heart disease then those who drink coffee may well live longer than those who don’t. Hormone replacement therapy may increase the incidence of certain cancers yet still have overall a beneficial effect. (See "The Contrapuntists"). It may now be apparent why there is such a general belief that smoking is dangerously harmful. There are 3 reasons. First, studies which in any other area of science would be rejected as second-rate and inferior but which support antismoking are accepted as first-rate. Second, studies which are conducted according to orthodox and rigorous design but which do not support the idea that smoking is harmful are not merely ignored but suppressed. Third, authorities who are duty-bound to represent the truth have failed to do so and have presented not just untruths but the reverse of the truth. It may be argued that this is news about an old and settled subject. And who cares about smoking anyway. But smoking is really a secondary issue. The primary issue is the integrity of science. This has no use-by date. When the processes of science are misused, even if for what seems a good reason, science and its practitioners are alike degraded. The Contrapuntists A Parable By P.D. Finch In a few years time an accidental by-product of genetic engineering leads to the discovery that certain living vibrating crystals can be manufactured very cheaply. When encased in a suitable holder and inserted in the ear one can hear, just for a few minutes, until body heat kills the crystal, beautiful melodies, rhythms and fascinating counterpoint. They are marketed as aural contrapuntive devices. Since they are cheap and become very popular, the Government taxes them. Users of the device become known as contrapuntists. Some years later a new disease is identified when an increasing number of people drop dead, suddenly, for no apparent reason. Autopsies reveal a strange deterioration in the brain cells of those affected. An observant pathologist notes that in most of the associated post-mortem examinations an aural contrapuntive device was found in an ear of the deceased and the disease becomes known as SADS, an acronym for Sudden Aural Death Syndrome. Epidemiologists find that people who are not contrapuntists seldom fall victim to SADS and that, in fact, about 98 per cent of all such deaths are either current or former contrapuntists. The strength of association between aural contrapuntism and SADS is undeniable, the relative risk is as high as 50, i.e. a contrapuntist has about 50 times the chance of falling to SADS as does a non-contrapuntist. An anti-contrapuntist health campaign is initiated and aural contrapuntive devices are taxed more and more heavily in an attempt to dissuade people from using them. The campaign is very successful and is vigorously supported by an unexpected alliance between animal liberationists, the music industry and the tone-deaf. Attention then shifts to passive aural contrapuntism, viz. the dangers posed by the sidestream melodic overflow from the devices in the ears of contrapuntists, in particular on the occurrence of SADS in non-contrapuntal spouses of contrapuntal men, the harm contrapuntal parents may do their children and the possible ill-effects suffered by the foetus of a contrapuntal pregnant woman. After great initial success, however, the campaign falters when it becomes widely known that even though aural contrapuntism is so strongly associated with SADS, relatively few contrapuntists die from it each year and those that do have lived, on average, about one year longer than do non-contrapuntists and, moreover, at each age, are much more likely to die of other causes than of SADS itself. Politicians realise very quickly that they can now, with a clear conscience and with profit, tax aural contrapuntal devices even more heavily. 1 http://www.la.utexas.edu/research/poltheory/james/blaste/blaste.html 2 Keynes, G (1978), "The Life of William Harvey", Oxford, 3 Lyte, H.C.M. (1899), "A History of Eton College (1440-1898", Macmillan 4 Price, F.W. (ed.) (1942), "A Textbook of the Practice of Medicine", 6th edition, Oxford University Press 5 Doll, R. and Hill, A.B. (1950), "Smoking and carcinoma of the lung", British Medical Journal, ii pp739-48 6 Fisher, R.A. (1959) "Smoking: The Cancer Controversy", Oliver and Boyd 7 Doll, R. and Hill, A.B. (1954), "The mortality of doctors in relation to their smoking habits", British Medical Journal, i pp1451-5 8 Doll, R. and Hill, A.B. (1964), "Mortality in relation to smoking: ten years' observations of British doctors", British Medical Journal, i pp1460-7 9 Surgeon General (1964), "Smoking and Health" http://www.cdc.gov/tobacco/sgr/sgr_1964/sgr64.htm 10 Rose, G. and P.J.S. Hamilton (1978), 'A randomised controlled trial of the effect on middle-aged men of advice to stop smoking', Journal of Epidemiology and Community Health, 32, pages 275-281. 11 Hill, A.B.(1971, 9th ed.) "Principles of Medical Statistics", The Lancet 12 Rose, G., P.J.S. Hamilton, L. Colwell and M.J. Shipley (1982), 'A randomised controlled trial of anti-smoking advice: 10-year results', Journal of Epidemiology and Community Health, 36, pages 102-108 13 Multiple Risk Factor Intervention Trial Research Group (1982), 'Multiple risk factor intervention trial: risk factor changes and mortality results', Journal of the American Medical Association, 248, pages 1465-1477. 14 WHO European Collaborative Group (1986), 'European collaborative trial of multifactorial prevention of coronary heart disease: final report on the 6-year results', Lancet, 1, pages 869-872. 15 Wilhelmsen, L., G. Berglund, E. Elmfeldt, G. Tibblin, H. Wedel, K. Pennert, A. Vedin, C. Wilhelmsson and L. Werks (1986), 'The multifactor primary prevention trial in Goteborg', European Heart Journal, 7, pages 279-288. 16 Miettinen, T.A., J.K. Huttunen, V. Naukkarinen, T. Strandberg, S. Mattila, T. Kumlin and S. Sarna (1985), 'Multifactorial primary prevention of cardiovascular diseases in middle-aged men: risk-factor changes, incidence and mortality', Journal of the American Medical Association, 254, pages 2097-2102. 17 Puska, P., J. Tuomilehto, J. Salonen, L. NeittaanmSki, J. Maki, J. Virtamo, A. Nissinen, K. Koskela and T. Takalo (1979), 'Changes in coronary risk factors during comprehensive five-year community programme to control cardiovascular diseases (North Karelia project), British Medical Journal, 2, pages 1173-1178. 18 Leren, P., E.M. Askenvold, O.P. Foss, A. Fr¨ili, D. Grymyr, A. Helgeland, I. Hjermann, I. Holme, P.G. Lund-Larsen and K.R. Norum (1975), 'The Oslo study. Cardiovascular disease in middle-aged and young Oslo men', Acta Medica Scandinavica [Suppl.], 588, pages 1-38. 19 Surgeon General (1982) The Health Consequences of Smoking - Cancer: A Report of the Surgeon General. 20 Surgeon General (1989) Reducing the Health Consequences of Smoking: 25 Years of Progress: A Report of the Surgeon General: Executive Summary and Full Report 21 Surgeon General (1990) The Health Benefits of Smoking Cessation: A Report of the Surgeon General 22 Commonwealth Department of Community Services and Health, Canberra (1988) "The Quantification of Drug Caused Morbidity and Mortality in Australia". 23 http://members.iinet.net.au/~ray/hammond3.html Wallis, W.A. and Roberts, H.V. (1962) "Statistics: A New Approach", Methuen and Co. Ltd. 24 Australian Bureau of Statistics: Smokers are less likely to have cancer, heart disease 1 Australian Bureau of Statistics, No 4382.0, "1989-90 National Health Survey: Smoking" http://members.iinet.net.au/~ray/19jun2006.htm 25 Australian Bureau of Statistics: Smokers are less likely to have cancer, heart disease 2 http://members.iinet.net.au/~ray/ABS43820d.jpg 26 Two messages from the Western Australian Health Department Subiaco Post, 28 June 1988: 12 Hatton, W.M. (1987), Cancer Projections: Projections of numbers of incident cancers in Western Australia to the Year 2001, Perth: Epidemiology Branch, Health Department of Western Australia. Hatton, W.M. and M.D. Clarke-Hundley (1987), Cancer in Western Australia: an analysis of age and sex specific rates, Perth: Health Department of Western Australia. http://members.iinet.net.au/~ray/HealthDept1.jpg http://members.iinet.net.au/~ray/HealthDept2.jpg Installed 31 July 2006 7

Tax Avoidance___Morally repugnant?

What is morally repugnant is a government that sets-up tax-avoidance schemes and then moans like fuck when people have the temerity to use them. A previous government removed the Inland revenue's duty to only collect that tax which was due; instead it switched the burden onto the tax-payer. It would therefore seem that it is every citizen's legal duty to avoid tax.

Wednesday, 6 June 2012

euro crisis...simple solution get rid of the single currency and let sovereign governments re-value their currencies People wonder why in Britain we have a north-south economic divide...simple two different economic systems sharing a common currency, namely the pound...if a small region like England struggles HOW THE FUCK CAN IT WORK IN EUROPE YOU FUCKWITS

Wednesday, 23 May 2012

My Aquaria

I haven't posted about fish-keeping before on this blog. So , I thought I'd describe the set-up in my two main tanks:-

4 ft cold/temperate tank

One Ryukin (Miss )Piggy Malone( aka Doris)

A Moor named Jet (juv male)

An Oranda called Rocket (juv male)

6 baby apple snails

planted with Amazon swords


3 ft tropical tank

2 Bristlenoses Charley Farley(m) & Skitter (f)

4 Adult Apple Snails

8 neon tetras

2 Fire-Red Honey Dwarf Gourami:

6 Black Neon Tetra

2 Red Cherry Shrimp

2 Dwarf African Aquatic Frog

Planted with Anubias & Amazon Swords


I shall add to this given time-constraints

Tuesday, 13 March 2012

In Gauderman et al. 1997 at pp.208-209 the authors stated:

“The results from these analyses support previous findings that a major gene plays an important role in lung cancer risk. An additional finding not previously observed is that there is no apparent interaction between the putative lung cancer gene and smoking.”

At p.177 the authors wrote:

“[T]he flaws we found in the nicotine research literature are of such magnitude and occur in such a regular fashion that they demand an explanation. A partial list of the methodological shortcomings compiled in this book includes:

I Systematic exclusion of subjects from statistical analyses
Absence of saline control groups for injected drugs
Result-biased selection of number of sessions to test manipulations
Absence of statistical comparisons [...]“
Also, from the same book:

“Thus, nicotine’s role in maintaining the smoking habit bears no similarity to the role played by genuinely addictive drugs such as heroin, barbiturates, alcohol or other drugs to which nicotine is routinely compared.”

In Sommers 1972, Dr Sheldon C Sommers, Chairman of the Scientific Advisory Board to the Council for Tobacco Research, a physician specialising in pathology and Clinical Professor of Pathology at Columbia University College of Physicians and Surgeons and University of Southern California School of Medicine, gave evidence which included this statement, at p.96:

“[S]tatistical mathematics can never prove cause and effect. All they show is a relationship requiring further study, usually experiments in animals, to find out the meaningfulness biologically of this relationship. I really believe that among the active researchers in these fields, there is no great preponderance of feeling that cigarette smoke is carcinogenic.”

In Sommers 1976 Dr Sommers said at p.269:

“Now, as to lung cancer, there is a statistical association between cigarette smoking and lung cancer. But at present the nature of the association or whether it is causal are not known. The test of the original Surgeon General’s report [USSG 1964] deals with the difficulties of assigning causality, but the summary and conclusions brush these aside, and assign a causality not demonstrably evident in the text. It is widely known that a statistical association is not by itself proof of causation. A statistical association may point to experiments that will help to determine whether there is cause involved.”


In Furst 1982 Dr Arthur Furst, Director Emeritus of the Institute of Chemical Biology at the University of San Francisco, said at p.512:

“For many years, I tried to induce lung cancer in animals with cigarette smoke, with no success, despite the most sophisticated smoking machines available. Not only were my colleagues and I unsuccessful, but so was every other investigator. There have been a very small number of published reports of lung cancers occurring in experimental animals during smoke inhalation experiments. Anyone attempting to interpret these as showing that smoking causes lung cancer must understand that animals, like humans, do spontaneously develop lung cancer even in the absence of any suspected carcinogen.”

In explaining his conclusions as at September 2003, Professor Idle said that it was his judgment that cigarette smoking had not been established as a cause of human lung cancer. Indeed, as explained by him, the cause of cancer was unknown. Moreover, the mechanisms by which lung cancer developed were not known. Researchers had not produced squamous cell lung carcinoma in laboratory animals by inhalation exposure to cigarette smoke. No constituent or group of constituents, as they existed in the complex mixture which was cigarette smoke, had been shown to be a cause of lung cancer in smokers. In view of this, it could not be determined whether or not smoking caused lung cancer.