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The Don Wood Files

This reversal hurts not only health science. All pronostications can be legitmately doubted now. Is it any wonder that some people, for example, remain unconvinced that global warming is a catastrophe-in-the-making? WHat will the next study show?

Something has to give. Journalists have to get better at what they do - becoming more questioning, actually read the data, etc - and scientists have to point out, up front, the weaknesses of their own data. Right now, that is not happening.

If we can't get it right on diet, how can we get it right on climate, GM foods, nano, and other developing issues that some scientists have made a career out of scaring people about?

sara

As a person who tries to put numbers to scientific claims (as well as explain the meaning of the numbers to various biologists), it's a really tough problem.

First of all, people want to make far-reaching claims, like 'fat is bad' and 'vegetables are good', etc. These kinds of hypotheses are almost impossible to test from a scientific standpoint -- there are too many variables such as evironment, genetics, exercise habits, etc.

Second, it's difficult to digest the probabilities and statistics that come from these studies. Even within the field of probability, there is a huge debate between the frequentist view of probability (I believe something will happen 50% of the time) and the bayesian view (I have a 50% belief that something will happen) and the math is all different. So once we get numbers for studies, there is the problem of translating them into something useful.

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