Stop this hypocrisy.
You have already agreed to these facts:
2. Up to one-third of all sex crimes against children are committed against boys (as opposed to girls).
3. Studies indicate that, contrary to the inaccurate but widely accepted claims of sex researcher Alfred Kinsey, homosexuals comprise between 1 to 3 percent of the population.
No I didn't. I said they may be correct. They may have been correct since I was about to leave the office and didn't have time to check them. But since they weren't entirely central to my point, it didn't matter too much.
If a group which comprises 1% of the total population is committing 33% of a particular crime, what does that mean? FRC may not be a reliable source. But it doesn't matter anyway, as you have already agreed with points #2 and #3.
This is where you are wrong. But to be fair, it's a fairly common error. If you're not trained in statistics and probability, you're always going to make these kinds of mistakes. If you wanted to demonstrate that same-sex foster parents were 20 times more likely to sexually abuse children in their care than male-female couples, there is only 1 way to do it: sample a large number of same-sex foster families and a large number of male-female foster families, and compare abuse rates.
The route you're taking is a mixture of inductive error and baseless assumption.
Let me give you an example:
2. Up to one-third of all sex crimes against children are committed against boys (as opposed to girls).
It's actually around a fifth. 1 in 5 girls are the victim of abuse, compared to 1 in 20 boys. But that's irrelevant. What's the assumption/error that you're making here? Anyone spot it?
You're assuming that you are homosexual if you commit a sex crime against a boy.
That is simply not the case. But you wouldn't know that because you are cherry picking statistics you like from a homophobic hate site. The simple fact is that most adult men who molest boys do
not show any sexual interest in adult men.
I'm not even touching on how you have fallen into the sampling bias heffalump trap.