carnex said:
Now, what you said is squarely from one, highly subjective perspective.
No it isn't. It's a perspective, everything is, but it's in no way subjective. You may want to look into using those words properly.
Both sexes have roughly the same chance of catching the disabling disease or injury
No, they don't. Many conditions have different rates according to gender. For instance, heart disease, which is a significant cause of death, is more common in men than women. So, if we decide to look at heart disease only, we should hire only women.
This is my main point: To focus on one condition, particularly one which is gendered, narrows the data to make a specific point which indicates nothing about the rates.
(chace of later can be influenced by behavior of individual and with high-value personnel is often addressed in contract).
And people frequently misprepresent themselves in those settings, but really, this is mostly an ass-pull.
Also, diseases like cancer and similarly disabling diseases are unpredictable enough not to be factored in anything but the harshest of contracts.
Sure. But they're also quite common, and can significantly effect a workforce. I'm not talking about contracts though: If your reason for not hiring someone is you worry they might need time off for pregnancy, you must also consider cancer, heart disease, and a variety of other significant causes of long-term leave or mortality. To do anything otherwise is to completely fail at basic reliability.
If a person had a history of psychotic disorders in family or some crippling genetic dissease, employer would factor it in the moment he spoted it.
But medical records are off limits, protected by the law.
No shit. Not even my point though. If you want to factor in pregnancy, you must factor in the other conditions, and evaluate a hazard rate for employees. If then you find that men have a significantly lower hazard rate, you're merited in making the decision. But this calculation is not being performed. It is being ASSERTED. Based on pregnancy. Which, unlike most other decisions, is one which the woman actually has a choice in. The assumption that they're going to leave you in the lurch says poor things about management skills, and the relation of employees to their workplace.
Now, you can count with a decent amount of certainty that woman will, sooner or later, want to have children.
Nope. Also, you could do the same with men, and some areas have paternity leave, so that a father can care for a child. Should we not hire them because their significant other we know nothing about, has a child and they take time off to care for it?
Majority of women do, and it's something they strive for.
Don't assume motives for a group. It's bad mind-reading. And someone will accuse you of mansplaining. Back it up or shut it up.
Also, to add to that, in my experience about a third of all pregnancies are unplanned, something my aunt and sister who work at maternity ward say is stupid opinion since that rate is even higher.
96% of statistics, including this one, are made up on the spot. I'm not going to take hearsay. And adding your little argument from authority to back up the assertion doesn't make it better. Have I beleaboured you with the fact that I'm currently doing the engineering course on failure rates, to buttress my argument? No, I've referenced the relevant content. Although, reading a little on statistics, or reliability, would be advisable. I'd recommend O'Connor, Patrick P., Practical Reliability Engineering, 5th Ed. The maths is pretty entry level, and it's a good read.
1.) They may be. What demographics is this in though? Because while the overall rate for unplanned pregnancies may be 1/3, it only matters what the rate is for the person you're hiring. If I'm hiring a 50 year old woman, the odds of her becoming pregnant are astronomically low.
2.) Is she on birth control? Many women are. The odds of them getting pregnant by accident is low.
3.) Pregnancy by accident is a subset of pregnancy. You have to consider that 1/3 of the rate of pregnancy. What is the rate of pregnancy? It's not a 33% failure rate for female candidates. It's a 33% chance, if they fail due to pregnancy, that it was by accident, iff the rate for that group is 33%, which it isn't for most candidates.
4.) Does this risk, totalled with all other risks, contribute to a higher failure rate for women than men? Considering men have a shorter life expectancy, and higher risk of heart disease, death due to risky behaviour, and numerous other conditions, are they more likely to fail? We need to sum all of the most significant factors, and justify the basis for excluding others based on their probability.
5.) Now that we're doing this by gender, we should also consider other factors. More intelligent people tend to be inclined towards substance abuse and depression. People who come from poorer backgrounds tend to be more at risk of being convicted for a crime. We should account for these, shouldn't we? Or are we just trying to discriminate on the basis of sex? The Gender Line is an arbitrary line around which to base hiring decisions. Intellect, wealth, race, and many others, all carry different risks. If we decided that hiring a black person was risky, because statistically, he's more likely to be imprisoned, we'd be rightly condemned as racist. And again, we'd be using the wrong failure rate, because that we are considering his employment actually means he's at a lower risk. The point is, this analysis is a significant undertaking, and can be performed, but it's not being, instead, discriminatory cases are being made without relevance to any work.
6.) The employee is an individual. Considering only the large view misses the point. If you don't want your employees to become unavailable, you need to manage it. You also need to make the system prepared for unavailabilities.
It's a real, predictable factor of risk for employer.
So is heart disease or imprisonment. But we're not really doing a hazard analysis, are we? We're ass-pulling to justify an assumption based on a narrow focus. The real thing is: Pregnancy is something that only happens to women, so we can use pregnancy to discriminate against women. It's as simple as that. You want to play statistics, do it. Do it properly so that you can present a proper case that a female employee (Not just a random female), is more likely to fail than a male employee.
Not only that employer will have to hire new, inexperienced employee who yet has to fit into existing team,
No, they won't. What environment are we talking about firstly? Because if we're concerned with a job like fast food or retail, training is simple, and we would already have more than enough staff, because they're rostered in shifts.
If we're talking a more serious job, like an engineer, or a nurse, or a doctor, we're not going to be able to replace them as easily, and we're not going to have excess labor just hanging around, so this criticism stands, but, needs further consideration: The employee has completed requisite education without getting pregnant and gained a high-status, difficult to achieve job. The likelihood that they're going to sacrifice that shortly to become pregnant is MUCH lower. Professional women are much less likely to get pregnant younger.
but also have increased expenses since he pays for maternity leave too. Ofcourse adressing that risk in contract is unacceptable. Some have tried over here and paid for it.
You also would pay for many other forms of leave. But if it's a "professional" (For want of a better word) job, the odds of this happeneing are relatively low.
You may say that it's sexist or not, I won't argue that here.
It's entirely sexist, and demonstrates a complete inability to understand basic probability, reliability, or even just life. It's an attempt to define women exclusively by their sex to discriminate against them on the basis of a probability case which was never evaluated. It's entirely disingenuous.
It's not the time or place.
It is. It's misogynistic.
All I wanted to point out is how invalid your comparison is.
Except you didn't, because you didn't demonstrate that the hazard rate or failure rate for men is lower. So you're still sitting on an unproved point, and now crowing about it. Poor form.