Comments on statistics'
Since the subject of statistics has been mentioned, I wanted to discuss a couple of concepts.
Double blind experiments: In research attempting to determine if a drug, herb, technique, or any other kind of intervention is effective it is necessary to conduct a bouble blind experiment. In such an experiment, neither the practicioner and/or researcher nor the ill person knows if they are getting the intervention or a placebo. Why? Because people are suggestible. Some will feel better because they believe in the intervention even if they are given something valueless. Also, some practioners will believe so much in their supposed cure that they can influence the outcome in a number of ways, even if the method is worthless.
Sample size: The smaller the sample size the more likely that any reported improvement is due to chance variations over time or due to factors other than those being studied. Some times people get better for no known reason. Therefore, a sample of one, a testimonial, is not proof.
These are the bare essentials. Other methological factors come into play, depending on the situation.
Finally, the research should be submitted to a peer reviewed journal. The peers are individuals who can properly evaluate the quality of the research that has been conducted.
Now, as a consumer, I may not have the expertise to evaluate the research. However, I can put more faith on the opinions from summaries of peer reviewed journal article prepared by people who can translate the research into the layman's terminology. (Dr. Dean Addel, on talk radio seems to do a good job of this. Also, a Dr. Murkin on the radio seems quite credible.) I certainly would not rely on a sales brocure, a testimonial, or the excitment of a newspaper article.
Some have said: scientists don't know everything. True, but layman know even less.
People lie with statistics: Then educate yourself on the subject as an informed consumer, or, find the best expert you can on the subject.
If you have any questions, write them out on a twenty dollar bill and send them to me - one question per bill please.
Someone asked if I was using the average life span as a straw man. No I wasn't. They asserted that this is not a good measure of health. True, it is not a perfect measure, but it is measured easily. Now, if the average life span was 35, I would expect that the folks were pretty unhealthy as group now wouldn,t you?. With longer lfe spans, I suppose you could find other measures of health. I suppose there are some peopld who live a long time, but are sick a lot. Nonetheless, I think as a general, overall index with very large sample sizes, that average life span is good enough. If you know of a better measure, let us all know.
PS
I don't believe that stat. about the average life span of doctors being 53.