Aerodyamic said:
You completely removed the portion of my post where I specified that individuals may differ from an observed, established behavioural norm for that group under a specified set of parameters. I'm not arguing that any SINGLE individual may not bear out the behaviour of the group within which that individual resides, I'm pointing out that the exceptions to a given rule do not invalidate a statement concerning the observed behaviours of that group to the specified stimuli.
Under the stated parameters of that persons observations, even if their information is clearly hearsay, it still justifies the statements I made, which I will re-iterate and reword, once again:
Women, when presented with a positive social stimuli, responded with a positive social stimuli more often than men did, in an ad hoc examination by an individual not attempting to collect a scientific data sample.
Please try to include all of a response when you quote something, rather than manipulating the presented to alter the actual context of the response, in the future.
My apologies if you thought that I misrepresented your point, that was not at all my intention. I snipped to save space and I retained the part of your post that I thought most relevant to my criticism.
Can I assume that the part you feel addressed my point is the following?
Aerodyamic said:
While examining a discrete individual will clearly show that that specific individual is different in some ways from other similar individuals, it is generally a safe way to begin building a framework for social interaction. I'm not arguing that all generalizations about a sample group are always applicable to any member of that sample group, but that the point to the use of sample groups is to provide referential framework.
I most certainly should have left that in, as it is very relevant to why you are wrong. If this is about building framework for social interaction, you are not talking about demographics. Insurance companies have interactions with demographics, as do governments. As a social individual in need of a framework, you ought to remember that you do not have enough interactions with people for such demographic concerns to be an issue. As you interact with other people you are in a position to infer things about their demeanour independent of their gender.
As I said before, you use demographics when you are dealing with enough people that you can be sure the statistics will work, and when you don't have the resources to make a more detailed investigation of the individuals concerned. Neither of these things are apt in a social scenario.
If we take an actual example of an observed difference between men and women and not an anecdotal one, I can explain what I mean. Women have a longer life expectancy than men. This is well documented and extensively researched. It is an example of a demographic difference.
Suppose you meet a woman, Alice, and a man, Bob, both aged 30. You have no idea, in the absence of all other information, how long they will live. You would be mad (and more than a little rude) to place a bet that Alice is more likely to reach 80 than Bob. There are just too many factors to take into account.
If both Alice and Bob were to approach a life insurer for policies however, that is exactly what the life insurer would do. They would place bets on Alice's and Bob's odds of reaching 80, and they would give Alice better odds (or alternatively, worse rates). The life company is in a position to do this, because they interact with tens or even hundreds of thousands of people in this way. They have enough exposure to life expectancy that they can afford to assume that on average their policy holders will live to their life expectancy (77.1 for males, 88.5 for females according to the SSA), even though many many men will have longer lives than many, many women.
As an individual, you just do not interact with enough people to assume anything but the most basic stuff based on gender. Stuff like, what genitalia do they have (and even then you'll be wrong from time to time). So, such statistics are not a basis for a social framework.