2 ms·
This is an incredibly interesting story. I haven't been through nearly anything as bad as you, but my insight onto the issues of my family were similar - povert
by sprafa 10y ago
This is an incredibly interesting story. I haven't been through nearly anything as bad as you, but my insight onto the issues of my family were similar - poverty and lack of knowledge and hard psychological issues. Because our society doesn't consider (yet) psychological issues to be "real" in the sense that any other illness is, we get this dumb talk about how "you can get out of it if you want". Yes that might be true, and you are the proof of it. But there is a huge denial going on in our society about how psychology actually works and how bad it can really get before you get marked as a "clinical" case. Society is bleeding people to cure them, to make the analogy with an old medical practice that we now know is insane.
- usmeteora 10y agoYeh, I think people underestimate the power of influence and people do not correlate it or study cause and effect enough in studies. The influence your community has on your personal decisions and how that impacts your personal wealth is significant. Weve already witnessed highschool suicides tend to happen in clusters. Weve witnessed it as a nation at Gunn Highschool in SanFran and other areas. If one kid does it, the two others who were seriously considering it are more likely to follow through. This is also a root cause of the housing foreclosure crisis. Wired Magazine did a piece. One of the missing pieces of analysis was the correlation noticed when one person on your street forecloses on a house, how much the likelihood goes up that other people on your street will too. They retroactively did that analysis and found a huge correlation. We should do this type of correlation in alot more studies, particularly ones dedicated to trying to understand socioeconomic mobility. I say correlation because correlation is not causation. The causation we can't know right away but it might be helpful to first look at some significant correlations and then try to understand if there is a cause and effect relationship. Or at the very least come up with some likliehood statistics.