I think a boy needs a male role model to show him how to be a man, and a girl needs a female role model to show her how to be a woman; both of these are not provided for in a lesbian and a gay relationship respectively. The point that extended family and friends can step in is invalid, they're not going to be there 24/7 like an actual parent would. Theoretically it is possible, but anyone with actual experience being raised in this way would know that it is not true.
IOW, same-sex parents are inherently disadvantaged with regard to opposite-sex parents because they lack a characteristic that you say was lacking in your own opposite-sex-parented family?
Also, let's turn this around for a moment: so you say that a boy needs male role models and a girl needs female role models; wouldn't this imply that a boy raised by men or a girl raised by women would be
even better off than a child raised in an opposite-sex-parented family?
Gender models are not arbitrary in my opinion, they just need to be there at all. Namely, if a man is feminine or a woman is masculine, it's fine if the child gets balance in that regard, or even if they're both neutral, there's a very distinct line as to who the child should emulate.
I emulated both my parents in different ways. Gender is not the sole defining characteristic of a person.
Men and women are different not only physically but mentally as well; our brains are wired differently, which is why we act differently. I don't believe it's based as much on stereotypical gender roles, as the fact that men and women tend to act in a certain way contrary to each other, which is why those roles formulated in the first place. They both have a grain of truth.
Perhaps on average, but when we're talking about an individual family, the parents aren't going to be their genders' averages; they're going to have a combination of characteristics that put them at some point along a curve (if curves and averages are really the best way to talk about people and families).
My logic requires pre-requisites to be valid, namely the fact that there be two women or two men, not a woman and a man (I'm assuming you're both heterosexual, but correct me if I'm wrong and I apologize if I am). If there are two women or two men, with one acting masculine and the other feminine, the child will be confused as to who they will emulate since there isn't a very clear delineation. Can you understand where I'm coming from here? If there are two different people with two different roles in the house, the child will emulate one of them, but if there are two similar people with two different roles, it would confuse them.
Every two-parent family will have two people who are similar in some ways and different in others that are available for a child to emulate. Normally, this works okay.
The problem is that people that have views contrary to your statement would have a hard time trying to find reliable data,
Ah. So you're saying then, that any claims that same-sex couples are at a disadvantage to opposite-sex couples in the raising of children are baseless assertions that aren't founded on valid data?
adoption by homosexual is a recent thing and the percentage of the population that are gay is so small, you could not find a good comparable data, so really I doubt that this is true and the fact that we don't know it is no proof that they are as good or worst, the data sample does not allows a comparison.
Based on your estimation, how large the sample size have to be before it would allow a valid comparison between same-sex and opposite-sex couples with regard to raising children? What confidence interval do you base your sample size on?
The data sample of the straight parents would contain a greater number of failures because is a greater sample.
If you're looking at every single straight couple with children. It would also contain a greater number of successes.
If you studied representative samples of each group of equal size (which is how studies of this nature would usually work), then your concern goes away. Your concern would also go away if you looked at population averages of some set of measures, rather than just "counting the misses", which I think is what you were implying would happen.