Occupy Wall Street Protests not working? What do you think?

[Kasz216]

bannedagain said:

HappySqurriel said:

bannedagain said:

HappySqurriel said:

Since we're on the topic of the Gini coefficient the question that must be asked is "Is there anything inherently wrong with living in a society with unequal incomes?"

Is there something wrong with an individual earning more income in the prime of their career than someone who is just starting out? Is there a problem with someone who is in a more senior position and has substantially more responsibility earning a better income? Is it unfair for someone who made the sacrifice and put in the effort to develop more in demand skills be rewarded for their efforts?

Obviously, the answer is no ...

Where inequality becomes a problem is when it comes as the result of a corrupt and unfair system, but then what needs to be battled is the corruption not the inequality.

Thom Hartmann had a great segment on that a while back. Here it is. I think you would find it interesting.

http://www.bing.com/videos/search?q=thom+hartmann+social+inequality&view=detail&mid=2D9527356151AD4598DE2D9527356151AD4598DE&first=0&FORM=LKVR11

Wow, who could have a problem with poorly reasoned propaganda that doesn't understand the difference between correlation and causation?

maybe you took it out of context. Just a thought. The point was clear in the graphs. So take what you want. I remember why I don't like this site, people here are so far up there own ass.

Here is a legitamite question.  Have you ever taken a class in corelation and causation.  If you have... it's likely you'd understand Happysquirrels point.  Either way if you take some classes in sociology you'll need to take one eventually to get a degree, specifically to avoid the kind of mistakes in logic your making currently... and likely will look back a little ashamed about comments like the above.

If you can't debate in a sceintific way and know how to credibly apply statistics, you probably shouldn't be debating politics on policy specifics and instead focus on loose things you would like to see happen.

To put it simply though... in a graph where there is significant correlation there are three main possibilties.

For example, take the sales of chips and salsa.

1) The X axis is caused by the Y axis.  The Sales of Chips also spurs the sales of salsa.  As chip sales go up, so do salsa... because people like salsa with their chips thereby

2) Y is caused by X.  The Sale of salsa also spurs the sales of chips because people who buy salsa need something to eat it on and chips are preferable.

3)  X&Y are caused by Z.  Social events increase the sales of chips and salsa which are mostly a social food.  Therefore the correlation is actually based on a third variable that the graph does not take into account, or even multiple variables.

 

Hence when providing stats you need to control for outside variables.  For example in the gini coefficent/illegal immigration stats...  Gini coefficent being higher logically can't increase illegal immigration because illegal immigration happens because people want to improve their lives.  Furthermore a third variable can't be causing both because again, the two goals are conflicting.  However, Illegal immigration CAN cause a higher gini coefficent because Gini coefficent takes into account illegal immigrants salary in it's calculations.