«L'imagination est plus importante que le savoir.» La phrase a beau être signée Albert Einstein, nous sentons confusément qu'elle relève de ces gentilles lubies de génies incapables de comprendre ce qu'ils doivent à une école, certes rigide, mais qui les a faits ce qu'ils sont. Mais Daniel T. Willingham, qui cite ces mots au début d'un des chapitres de son livre, Pourquoi les enfants n'aiment pas l'école (La Librairie des écoles, traduit de l'anglais), ne se contente pas de signifier sa réticence à l'énoncé du physicien allemand. L'homme est professeur en psychologie cognitive à Harvard, spécialiste du fonctionnement du cerveau, et tout l'objet de son ouvrage est justement de démontrer, à partir de données scientifiques sur les rouages de la mémoire et de la réflexion, combien l'absence de connaissances interdit toute imagination, et tout apprentissage de compétences.
vendredi 26 novembre 2010
Pourquoi les enfants n'aiment pas l'école
Certaines cellules cancéreuses se dissimulent dans la thyroïde pendant un traitement de chimiothérapie : une explication des récidives selon les chercheurs du M.I.T | Pharmactua
Certaines cellules cancéreuses se dissimulent dans la thyroïde pendant un traitement de chimiothérapie : une explication des récidives selon les chercheurs du M.I.T
Provenge, le premier vaccin thérapeutique pour le cancer de la prostate à un stade avancé à un cout de 93.000 dollars marque l’escalade des prix des nouveaux anticancéreux aux Etats Unis | Pharmactua
Provenge, le premier vaccin thérapeutique pour le cancer de la prostate à un stade avancé à un cout de 93.000 dollars marque l’escalade des prix des nouveaux anticancéreux aux Etats Unis
jeudi 25 novembre 2010
Régimes: dangereux pour la santé et pour la ligne, selon l'ANSES
Les méthodes amaigrissantes prônées par des livres ou des sites internet peuvent avoir des "effets néfastes" sur les os, le coeur et les reins, met en garde l'ANSES (Agence nationale de sécurité sanitaire) dans un rapport publié jeudi. En outre, elles modifient le métabolisme, ce qui entraîne une reprise de poids au bout d'un an dans quatre cas sur cinq.
mercredi 24 novembre 2010
Why do people behave badly? Maybe it's just too easy
Many people say they wouldn't cheat on a test, lie on a job application or refuse to help a person in need.
Why are we getting fatter? Researchers seek a mysterious culprit
So, why are we fat? And getting fatter? Most people would say it's simple: We eat too much and exercise too little. But University of Alabama at Birmingham obesity researcher David B. Allison, Ph.D., says that answer, while valid, may be a little too simple. Allison and colleagues think the more relevant question is this: Why do we eat too much and expend too little energy? And like good detectives, they've set out to identify a suspect, or suspects, that may be contributing to the obesity epidemic. The game, as they say, is afoot.
Science fails to face the shortcomings of statistics
November 19, 2010
Science fails to face the shortcomings of statistics
Tom Siegfried in Science News:
Supposedly, the proper use of statistics makes relying on scientific results a safe bet. But in practice, widespread misuse of statistical methods makes science more like a crapshoot.
It’s science’s dirtiest secret: The “scientific method” of testing hypotheses by statistical analysis stands on a flimsy foundation. Statistical tests are supposed to guide scientists in judging whether an experimental result reflects some real effect or is merely a random fluke, but the standard methods mix mutually inconsistent philosophies and offer no meaningful basis for making such decisions. Even when performed correctly, statistical tests are widely misunderstood and frequently misinterpreted. As a result, countless conclusions in the scientific literature are erroneous, and tests of medical dangers or treatments are often contradictory and confusing.
Replicating a result helps establish its validity more securely, but the common tactic of combining numerous studies into one analysis, while sound in principle, is seldom conducted properly in practice.
Experts in the math of probability and statistics are well aware of these problems and have for decades expressed concern about them in major journals. Over the years, hundreds of published papers have warned that science’s love affair with statistics has spawned countless illegitimate findings. In fact, if you believe what you read in the scientific literature, you shouldn’t believe what you read in the scientific literature.
More here.
Posted by Abbas Raza at 06:04 AM | Permalink
Comments
As Mark Twain observed, "There are lies, .....lies and statistics". Parenthetically, his autobiography is flying off the bookstore shelves http://www.nytimes.com/2010/11/20/books/20twain.html?_r=1&hp.
The cancer generals of the war on cancer are probably the biggest purveyors of lies with statistics. After all, what else could have kept these dismal failures in business for so many decades?
The late Professor Dr. Hardin Jones, Ph.D., was a professor of medical physics, physiology and expert in medical statistics at UC Berkeley. He also published with the great Linus Pauling Ph.D.(two time solo Nobelaureate, chemistry and peace) and Abram Hoffer, M.D., Ph.D. Many years ago professor Jones proved that those cancer patients who refused the orthodox treatments of surgery, chemotherapy and radiation, lived up to four times longer than those who accepted them.
The cancer generals never came up with such conclusions obviously, since if they did, they would be out of business.
But professor Jones was an independent scientist not corrupted by drug company money. Jones was right and the cancer generals were wrong, and little has changed today. Basically professor Hardin Jones proved the entire war on cancer to be a dismal, corrupt, fraud, a massive medical quackery on a massive scale. It is no wonder the low level non scientists of the medical orthodoxy sought to lie and obstruct his work, no? The U.S. FDA is a corrupt cesspool bought and paid for by drug and food companies. Americans are the biggest fools on the planet from watching too many fixed football "sports" shams on the television.
Most medical doctors in the past 50 years have not even had a physics course much higher than high school physics without calculus. The corrupt physics "profession" if you can call it that, have caved and allowed themselves to be corrupted by demands of the medical accrediting agencies to keep the standards low for doctors, lest too many flunk out. When I started out, physics and engineering majors had to take four full long (17 or18) week semesters of a rigorous engineering physics course sequence in parallel with four rigorous calculus courses, two in differential calculus and two in integral calculus followed by differential equations, linear algebra, numerical analysis, complex variables and other advanced topics all before the junior year. On the other hand pre med majors took two semesters of watered down physics without calculus.
In addition to numerous discussions of statistics in nearly all physics classes, I took advanced statistics and probability theory at Berkeley.
How much statistics do you think most medical doctors take? They are kept away from these "hard" classes because otherwise there wouln't be enough of them around, get it?
Even the physicists are corrupt for their dismal failure to speak up about this academic corruption for over 50 years. And even today, the introductory physics courses at the "best" schools like MIT have been watered down to a lousy two semesters. Physics is irrelevant today, made so by specialization. All they do today is mechanics and electricity and magnetism.
We did mechanics, heat, sound, electricity and magnetism, optics and modern physics. All had labs too. We even performed the Millikan Oil Drop Experiment in the introductory lab! Shame, shame, shame on these low level schools for lowering the standards.Posted by: Winfield J. Abbe | Nov 19, 2010 7:52:38 PM
It is noteworthy that the illustration is in error. The graph is of a probability DENSITY function (pdf). The vertical axis is labelled incorrectly as 'probability' - it is only the area shaded orange that can possibly be so designated. The shaded area is the probability that the variate is larger than the value indicated on the horizontal scale by the dot.
The range of values on the vertical axis of a pdf can be as large or as small as is appropriate to the variate it characterises. On the other hand, probability can only range from zero to one. One, ipso facto, is the total area under any pdf.
Posted by: narayan | Nov 20, 2010 3:29:01 PM