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Let's say you are an american. 60% of americans are overweight. Does that mean you are overweight?
by dropstickle 9y ago
Let's say you are an american. 60% of americans are overweight. Does that mean you are overweight?
- manigandham 9y agoAlso Americans on average are more overweight than Japanese. This does not mean there are no overweight Japanese or thin Americans, or that either are less capable of a specific sport.
- dahart 9y agoClearly not. Does 60% of Americans being overweight today mean that it's likely that 60% of people are naturally and biologically incapable of maintaining a healthy weight? There are genetic differences among underweight and overweight populations, so it is "possible" that the distribution of healthy weights to overweight people is natural a result of those genetic traits, and not the result of advertising and availability of high calorie foods. We should stop treating obesity as though it's a problem, right?
- dropstickle 9y agoI think you misunderstood me. I was not making a biological correlation, but a statistical one; namely that group averages doesn't say anything about an individual. The nature/nurture debate of overweight people is besides the point.
- dahart 9y agoThen I think you misunderstood the memo. The memo is making a biological correlation. It suggests that the current distributions might accurately reflect differences in biology. Nature vs nurture is completely the point here, Damore argued that nature is the primary force, not nurture, and therefore we should stop nurturing women in tech.
- dropstickle 9y agoMaybe I should have been clearer, you stated to the parent reply that: >> I don't understand what you said there, can you elaborate? What is the difference between males being more biologically suitable and females being at a disadvantage? From my perspective, you just contradicted yourself, can you help me understand why it's not a contradiction? This was in response to the parent that said Damore had not singled out any female google employes. The overweight example was an attempt to clarify that even though statistical averages say something about a group, it does not say something about the individual, i.e the google females should not feel singled out by statistical averages. As for the nature/nuture point in the memo: yes the memo is making a biological claim backed by sources. It does not suggest that current distributions are correct. No, the memo is not saying that nature is the primary force, only that it might play a part [1]: "Differences in distributions of traits between men and women may in part explain why we don’t have 50% representation of women in tech and leadership." [1] https://diversitymemo.com/ https://diversitymemo.com/
- dahart 9y ago> The overweight example was an attempt to clarify that even though statistical averages say something about a group, it does not say something about the individual, i.e the google females should not feel singled out by statistical averages. Right. And what I've been trying to say is that the statistical averages aren't the offensive part. That's a straw man. Google women don't feel offended when they're told they're a minority, they already know that; but they sure might reasonably be concerned when someone suggests they're a minority "in part" "possibly" because women aren't biologically as able to engineer as men. > No, the memo is not saying that nature is the primary force, only that it might play a part [1]: Sure, the memo didn't say it explicitly, but it did imply that. Everyone keeps defending the exact wording as if implication and misleading statements don't exist. Suggesting it's a "part" suggests it's a measurable and large part, comparable to social causes. Pointing out that women are more neurotic (which is a clinical term with very negative popular connotation, so extremely easily misunderstood) might be a part of why Google has so few women is leading the reader to conclude it's a major factor. This argument is cherry-picking the science in favor, and completely ignoring the contrary evidence that suggests that social issues are much larger than anything we could possibly measure about innate biological ability. For example, that different countries have very different distributions of women in engineering, or that the distributions have changed wildly in the last 50 years.