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473 points Bostonian | 2 comments | | HN request time: 0.416s | source
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BurningFrog ◴[] No.42184933[source]
To the "everything is political" crowd:

The complaint is not that SciAm writes about politics. It's that they write SCIENTIFIC NONSENSE when arguing for political causes.

Exhibit A: "the so-called normal distribution of statistics assumes that there are default humans who serve as the standard that the rest of us can be accurately measured against."

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InsideOutSanta ◴[] No.42185211[source]
If you read the whole paragraph, it's obvious what the writer intended to convey: that health research often assumes that there is one average, representative person, and everybody else is clustered around that person in a normal distribution. The author asserts that this is wrong, because people are dissimilar in more complex ways, and instead often fall into different clusters, rather than one bell curve.

In my opinion, the author's assertion is correct; we've seen in the past that research failed to find how medication affects women in specific ways, because that research was based on the premise that people are largely the same, and thus failed to specifically test the effects on each gender individually.

The sentence people quote out of context is, by itself, confusing and weird, and thus should not have been written that way. But in context, it's obvious what the writer intended to convey, and the intent is in no way anti-scientific.

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1. s1artibartfast ◴[] No.42185394[source]
I tend to agree, and go even further. The idea of averages and normal distribution means are grossly over-used in medicine and social discourse. They can sometimes be useful for population level discussions, but rarely personal healthcare or decision making.

Medicine and public policy is plagued by advice and recommendations for the average person, but the average person does not exist. 50% will be above average, and 50% will be below.

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2. mrandish ◴[] No.42186104[source]
> Medicine and public policy is plagued by advice and recommendations for the average person

To be fair, this is often the fault of the media, pundits and politicians cherry-picking studies and losing significant nuance in the process. At the same time, there are too many papers which do a poor job of sufficiently highlighting uncertainty in their conclusions.