Posted on Apr 6, 2015
COL Charles Williams
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This is interesting, but does it matter?

I suspect every change our Army has ever undertaken was not met with open arms? There have been many. Change is not easy, but should doubt within the special operations ranks, change the decisions within DOD?

http://bigstory.ap.org/article/ff32e0a3426a4f379a4f4d503cfe881d/ap-exclusive-special-ops-troops-doubt-women-can-do-job
Edited >1 y ago
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CSM Brigade Operations (S3) Sergeant Major
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The beards will be EPIC!!!

If the standards remain the same and they meet those standards, it doesn't really matter what the surveys say. The real issue will be the acceptance by their team members, if the team doesn't accept the female operator they will just get rid of/move her, they do the same thing for males that don't fit.
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Cpl Jeff N.
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The worst form of inequality is to try to make unequal things equal. - Aristotle.
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TSgt Joshua Copeland
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Edited >1 y ago
Lets put or math hats on for a minute.

About 68,800 people serve in the command, including 3,000 civilians. The main survey went to about 18,000 people who are in positions closed to women, and the response was about 50 percent. The high response rate, officials said, reflects the wide interest in the subject.

50% of 18,000 is 9,000. So that 9K respondents equals roughly 13% of the whole.

It doesn't state what of that 13% believes that woman cannot do the job, but lets assume that it is ALL of them (not likely) that is still only 13%.

COL Charles Williams, and this is why I hate statistics, you can make it say whatever you want, just have to know how to work the data.
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Lt Col Instructor Navigator
Lt Col (Join to see)
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You ever hear the word "sampling"?
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TSgt Joshua Copeland
TSgt Joshua Copeland
>1 y
Lt Col (Join to see), of course (I have done college statistics classes). Unlike peer reviewed statistics, they haven't shown how the sample was selected, if the responses to the sample actually make it a true sample of the larger group (ex. it was mostly all xyz group that responded and it is disproportional to the whole), the bias of the sample on topics of strong personal beliefs (like this) where folks holding a strong belief are more likely to respond then those that don't. etc, etc.
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