Oh, and if you dismiss the independent studies all over the globe, then how do you account for them? What do they do wrong? Are you seriously suggesting that every single one ignores every hard-working man and every part-time woman when collecting their statistics? Really? Or is it that they aren't independent at all, that there is a feminist conspiracy? We are NOT talking about a fictitious one-in-every-three-women-is-a-murderer case, we are talking about actual numbers.
Sorry, mate, but your arguments do not add up. I don't see why we are still having this discussion.
Sorry I had only just really seen that you were asking me to say as to how statistically can get messed up.
Well...I did give the example of children of child abuse and child violence being lumped in with statistics on children who have their bottoms smacked for being naughty.
Now regardless of what you think of this personally, where you are drawing from a well of children beaten with chains and bats and punched, then the conclusions you can draw from this well are pretty horrendous. You do not NEED to then say "Well hang on the statistics you are quoting at me as applies to violent parents or whatever, I do not think bear ANY relation to the child who gets a smacked bottom. I am sure they are NOT at any greater risk of a child who does not get smacked BUT I agree that a child beaten with chains and bats is going to be screwed."
"No", you say, "this case study (of which the children that get a smack on the bottom are a part) shows that they too are part of the average risk because the percentage is evenly divided amoung the participants. These are statistics and therefore they can not be misrepresented"
You HAVE to be able to see the problem there.
At present there is a social push for people to work longer and retire later if at all. Already there are "impartial" articles and the begin rumblings of what a terrific idea it is for people to work longer and how working older people are better off in so many ways and so on.
Case studies will follow if they have not already. We sheep nod and bah along appropriately.
BUT....I know that for every spritely 90 year old there is countless old men and some who age is not so kind with. People who after the age of about retirement age get "muddled", "slower", "frail", and are subject to debilitating health problems.
The powers that be would have us overlook this and say such things as "retirement as a concept, is relatively a new concept. In the past people worked through their lives...."
It is a nice bit of bullshit line to sell to try to convince the baby boomer to work tip they drop and perhaps put their lives and others at risk to save on pension money.
I have no doubt IF the case studies are not here, they will be soon and they will all be uniform in their agreement and state that old people should keep working and they all will be "independent and impartial".
But as for the way the statistics in the labour force can be skewed? (Note they only have to make one or two errors)
* Full-time vs Part time.
* Job Industry vs Job Industry (For example a cleaner in Community and Health sector can not compete with the wage of that in Mining)
* Danger money component not assessed in salaries
* Negotiated salaries (not subject to direct comparison as one person asking and demanding more or being compared to a person on similar role in smaller opposing company is likely to reflect what company can afford)
* Overtime being not factored in
* Shift Allowance
* Remote location allowance.
Many of these things may well favour men IF they choose to do them.
If a man is silly enough to do high rise window washing and finds himself in a high paid male dominated industry, it does not have anything to do with unfairness.
If men are more keen to be contractors in War torn areas and oil rigs and get paid big bucks accordingly.....fair call.
If in all these aspects they do not take steps to take these things into account then it is not fair comparisons and every case study relying on such things is inherently flawed.
Worse still it shows a a bottom-line differential without alluding as to what may be the causes and so WE have to reach conclusions and the obvious would be that employers underpay women unfairly and for exactly the same job.
Start knocking these things above, over and that difference will start to evaporate.