GMTom wrote:anecdotes?
Yes, the plural of anecdote is not data, it's anecdotes.
You have not heard similar stories from any American you have ever spoken to?
Sure, and I've heard similar stories from people in other countries. Guess what - stories are not as valuable as proper data.
I asked around here at work, I asked 8 different people if they knew anyone that has either not married to enable themselves to get more money as a single mother and/or had a baby simply to get more welfare, of those 8 people every single one of them knows of at least one person.
the breakdown
5 knew of 3 or more who have stayed unmarried
1 knew two people like that
1 knew of one person
of these 8 people, 2 knew 2 people who had a baby in order to gain more money, 1 knew of one such person.
anecdotes?
...Think again pal
Oh good gravy man. It's not just a bunch of anecdotes, it's a bunch of anecdotes gained through hearsay. What we call on this side of the pond 'Gossip'. What you think is some kind of rigorous study is nothing more than that. I hear better constructed stuff from my mother-in-law...
Here are the simple flaws in your study:
1) Accuracy. You ask people if they know people who are doing x for reason y. But the responses are second hand. So how do they actually know that they have done x, or that they did it for reason y? How much do they really know about other peoples' welfare and financial arrangements? How well do they know them? Did you verify any of the cases? How much of their response is down to assumption and guesswork?
2) Duplication. Basically, you asked a bunch of people at work. Who, I guess, live and at least work fairly locally. Some of them, at least. As you all work together, perhaps you also have coincident social circles, live near each other etc. So how did you check that none of the people that they 'know' about are the same people across your sample? I see no workings or protocol here
3) Let's say that you got (1) and (2) right - you verified no duplicates and these people exist. You still don't have evidence of causation. Did a woman decide to get pregnant in order to get more welfare (and does the extra money really more than cover the costs of having another baby?), or did they become pregnant and then decide to keep it? Perhaps the existence of welfare helped them to decide to avoid an abortion or give the child away, but it's not the same a a premeditated decision to have a baby for the check. Similarly, people don't get married for all kinds of reasons, not simply due to money. It could be that the dad is a total @#$!, unreliable, adulterous, violent, whatever. It could be that the guy you assume is the dad is not at all. It could be all kinds of things. So, how did you verify that the causation you recorded exists, Tom?
4) Context. So, you establish that a number of people you know think they know people who are abusing the system. But without an idea of how many people are on the system, how many in total are actually abusing it (and how), you can't say anything about prevalence. Perhaps your study revealed the only dozen mothers in Upstate NY who are doing stuff you dislike? How would you be able to tell? Are you assuming that your sample of people are representative? Based on what - that they work at the same place you do? Sheesh!
I guess this is a brilliant exposition of your attitude to science. You probably think this is how it's done, standing around a water-cooler and gossiping about people you know nothing about...
[I will say this - there's nothing wrong with rules that treat cohabitation the same as marriage when it comes to benefits, that the income for the family should be considered in both cases. The case of fraud committed by a local Tory councillor here was largely down to him not disclosing that he had a new partner and that she had an income. They weren't married (he's still getting a divorce I think) and they were not permanently living together, but he was living on her income. So, I don't disagree with you changing that law, even if some moralists might think it equates marriage with co-habitation and so leads to Gomorrah]