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Posted on December 12, by Scott Alexander Aquinas famously said: For example, take medical research. Suppose a certain drug is weakly effective against a certain disease.
After a few years, a bunch of different research groups have gotten their hands on it and done all sorts of different studies.
But there will also be random noise caused by inevitable variation and by some of the experiments being better quality than others. In the end, we might expect something looking kind of like a bell curve.
We see that the peak of the curve is somewhere to the right of neutral — ie weakly effective — and that there are about 15 studies that find this correct result. But there are also about 5 studies that find that the drug is very good, and 5 studies missing the sign entirely and finding that the drug is actively bad.
This is before we get into fraud or statistical malpractice. As we increase experimental rigor, the bell curve might get squashed horizontally, but there will still be a bell curve. But maybe the drug is more effective in bipolar i than in bipolar ii Depakote, for example Or maybe the drug is very effective against bipolar mania, but much less effective against bipolar depression Depakote again.
And the latest study shows that their drug is great! Or they could add all of those studies about slightly different things. Depakote is ineffective at treating bipolar depression. Depakote is ineffective at maintenance bipolar therapy.
Depakote is ineffective at bipolar ii. I think medical science is still pretty healthy, and that the consensus of doctors and researchers is more-or-less right on most controversial medical issues.
Like, take the minimum wage question please. We all know about the Krueger and Card study in New Jersey that found no evidence that high minimum wages hurt the economy. We probably also know the counterclaims that it was completely debunked as despicable dishonest statistical malpractice.
Maybe some of us know Card and Krueger wrote a pretty convincing rebuttal of those claims. Or that a bunch of large and methodologically advanced studies have come out since then, some finding no effect like Dubeothers finding strong effects like Rubinstein and Wither.Education in the United States is provided by public, private and home schools..
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Second, a focus on practices (in the plural) avoids the mistaken impression that there is one distinctive approach common to all science—a single “scientific method”—or that uncertainty is .
OBJECTIVE—The objective of this study was to determine whether cinnamon improves blood glucose, triglyceride, total cholesterol, HDL cholesterol, and LDL cholesterol levels in people with type 2 diabetes.. RESEARCH DESIGN AND METHODS—A total of 60 people with type 2 diabetes, 30 men and 30 women aged ± years, were divided randomly into six groups.