Comments from various quarters helped me to learn much more, especially about why gay men have been so much involved; and I was prompted to further analyses of official data, which revealed yet more flaws in HIV/AIDS theory:
- Since “HIV” doesn’t cause “AIDS”, why were gay men the first victims of AIDS, and why do they so often test “HIV-positive”?
John Lauritsen and Michelle Cochrane (When AIDS Began, 2004 had given good answers to the first point: It was not young, previously healthy, gay men who succumbed to AIDS in the early 1980s, it was predominantly drug-abusing fast-living men in their mid- to late thirties who happened also to be gay.
Tony Lance answered the second point for me with the intestinal dysbiosis hypothesis, confirmations of which have been coming in increasingly from mainstream sources; see “GRID = Gay Related Intestinal Dysbiosis? Explaining HIV/AIDS Paradoxes in Terms of Intestinal Dysbiosis” and “What really caused AIDS: Slicing through the Gordian knot”; “AIDS as intestinal dysbiosis”; “Unraveling HIV/AIDS”; “More mainstream alternative treatment for ‘HIV/AIDS’”; “Must read”; “Intestinal Dysbiosis theory confirmed”; “Intestinal dysbiosis theory confirmed again”; “Intestinal dysbiosis: more and more confirmations”.
- I came to realize that the crucial point is that “HIV” tests do not diagnose presence of active HIV virions: “HIV tests are not HIV tests”, Journal of American Physicians and Surgeons, 15 (#1, 2010) 5-9. See also “‘HIV’ tests are self-fulfilling prophecies”; “‘HIV’ tests are demonstrably invalid”; “The Wonderland of ‘HIV’ ‘tests’”; “Health-threatening and life-threatening tests”.
Etienne de Harven has indicated why “HIV-positive” is misleading: “Human Endogenous Retroviruses and AIDS research: Confusion, consensus, or science?”, Journal of American Physicians and Surgeons15#3 (2010) 69-74.
- Analysis of mortality data shows that “HIV-positive” and “AIDS” are not diseases, because the mortality of people in those categories does not increase with age whereas mortality from all diseases increases with age, for the obvious reason that our general capacity to resist stress decreases as we age.
Moreover the supposed latent period between HIV infection and onset of AIDS does not exist: “‘HIV disease’ is not an illness”; “How ‘AIDS Deaths’ and ‘HIV Infections’ vary with age — and why”; “HAART saves lives — but doesn’t prolong them!?”; “Living with HIV; Dying from what?”; “HIV, AIDS, and age: HIV/AIDS theory is wrong”; “Age shall not wither them — because HIV really doesn’t kill”; “No HIV ‘latent period’: dotting i’s and crossing t’s”.
- Many confirmations have appeared from different countries and circumstances of the epidemiological regularities I had found in the largely USA data analyzed in my book, perhaps most strikingly the racial disparities and perhaps most mysteriously the correlation with population density.
- I’ve noted a fine array of absurdities: pregnant women more likely to become “HIV-positive” than non-pregnant women; breast-feeding protective against becoming “HIV-positive” despite being a supposed avenue for transmission of HIV; mainstream activists urging that drug addicts be given fresh clean needles so that they could more safely kill themselves through drug abuse; assertions that HIV is transmitted in different ways in different parts of the world; and more.
So after a few years of blogging here, media coverage of HIV/AIDS has become for me déjà vu all over again
At the same time, I’ve become increasingly aware that what’s wrong with HIV/AIDS is no different in principle from what’s wrong with medical science as a whole. For example, the morphing of “AIDS” from a manifest clinical syndrome of Kaposi’s sarcoma and a couple of fungal infections into something defined by lab tests and numbers (“HIV-positive” and CD4 counts) is precisely what has happened in the last half century or so in medical practice as a whole: feelings of illness and diagnosis by a physician have been supplanted by lab tests and surrogate markers: blood sugar, clotting time, cholesterol levels, blood pressure, PSA, X-rays, CT scans, etc. (see e.g. Jeremy Greene, Prescribing by Numbers). The result has been over-testing and over-treatment and administering drugs to perfectly healthy people who don’t need them, don’t benefit from them, and may indeed be harmed by them, statins being a notable example of actual harm (see e.g. www.spacedoc.com).
Volumes could also be written about the mistakes made by medical science because of incompetent applications of statistics. Douglas Altman has been writing articles about it for a couple of decades, without apparent effect, for example, “The scandal of poor medical research” (British Medical Journal, 308  283) or “Poor-quality medical research: what can journals do?” (JAMA, 287  2765-7). John Ioannidis has even been featured in popular magazines for demonstrating the pervasive flaws in statistical analyses, for example that only 7 of the 35 most highly cited studies of drugs confirmed in use the favorable results claimed when the drugs were approved (Ioannidis and Panagiotou Ioannidis, JAMA, 305  2200-10). Already 25 years ago, in Science magazine (242  1257-63), Alvan Feinstein had discussed the rotten quality of epidemiologic studies relevant to matters of everyday life: “Despite peer-review approval, the current methods need substantial improvement to produce trustworthy scientific evidence”.
When articles like that in one of the leading scientific periodicals have made no difference, and incompetent statistics continues to be accepted for publication, what hope is there for improvement? No wonder that experts at the Centers for Disease Control and Prevention claimed a correlation between AIDS and HIV when their own cited data contradicted the claim (Curran et al., Science 239  610-6; see p. 110 ff. in The Origin, Persistence and Failings of HIV/AIDS Theory), or that those experts took a correlation as proving causation (Dondero and Curran, Lancet 343  989–90; see p. 194 in The Origin, Persistence and Failings of HIV/AIDS Theory)?
The large lesson is that common sense should be applied whenever the media, or official press releases, or indeed the primary scientific literature asserts results that are patently absurd. This blog post was stimulated by this one:
New Scientist, 14 July 2012, Magazine issue 2873.
Children bring many things to their parents’ lives: happiness, sleepless nights… and viruses. But although parents do catch infections from their kids, it seems parents are also more resistant to colds and flu. Sheldon Cohen and colleagues at Carnegie Mellon University in Pittsburgh, Pennsylvania, reviewed three studies in which researchers put either a flu virus or a rhinovirus, which causes colds, into people’s noses, then tracked who fell ill. Cohen’s team found that parents were only 48 per cent as likely to develop an infection as people with no kids. The more children there were in the family, the more parents were protected against illness. But the kids did not need to be present: parents whose children had already left home were only 27 per cent as likely as the childless adults to get sick (Psychosomatic Medicine, DOI: 10.1097/psy.0b013e31825941ff). Levels of antibody to the viruses used were the same in the parents as in the childless subjects. So what could explain the results? Cohen’s team speculates that parenthood brings happiness and reduces stress levels, which can boost the immune system.
That, or parents just don’t have time to get sick — so they don’t.
I suppose parents’ stress levels are even lower, and happiness even greater, after children have left home? And happiness boosts the immune system without changing antibody levels?
Possible, of course; just as it’s possible that the Sphinx was built by extraterrestrials.
But plausible? NO. Worth promulgating as breaking news? NO.