Jumping into the next quintile is a substantial increase in income even if they were at the very edge of it in 1996. The range itself has vast improvement in the incomes of the people still in it, most of them are making more money, your fictitious pay raises that supposedly account for the half that doubled their incomes are in that group.
if its a relative leap for everyone, that doesnt mean they're any less poor, or have better education.
College students huh
fine, grad students, medical students, law students.
have I pointed out that what we're arguing about is pointless anyway? You cannot judge education accurately through income. not to mention a decade is a lot of time for new people to enter the economy, and old people to leave it.
The bottom quintile is Mcdonalds and down. No college grads should be getting jobs that lousy to start with, you'd have known this if you read the entire thing
seeing as its 10 pages of bullshit nonsense that would be useful if we were talking
of any other thing no, I'm not gonna waste my precious time on it. I'm analyzing the measly amounts of data that you are calling on, telling you why you're assumptions in relation to the actual debate is far too off course
As for tge, not a lot to argue on, he hasn't attempted to refute my shooting the shit out of his side of your argument that I pulled out of my ass. He did however clarify his side it, you're just oblivious in addition to ignorant and combative
1) I'm not ignorant
2) I'm right, so I get to be combative
TGE has refuted you this whole time, you're just too focused on using out-of-context quoting from ONE survey to try and nullify my point, despite the fact that
NOTHING you have said here applies to the argument.Well, I would say everyone else probably tripled and quardrupled theirs, except for the rich, they probably increased their income by at least 100 times.
this is what he said, despite the fact that according to your survey the rich fall out of power very quickly, only a small minority remain in position etc.
let me make something clear choak, you have centered NOTHING to argue on, except saying that "poor being poor means no education". first off, thats not true. some poor children grow up to be VERY succesful despite the fact that they drop out of school, there are plenty of entrepreneurs created from the lower income brackets. second, you would need a survey that is designed to take relative income BETWEEN GENERATIONS, repeat: BETWEEN GENERATIONS. somebody getting a raise does not have anything to do with their education, especially as you pointed about, because the age range of this survey is "25-64", a bit OLD to be in senior year high school, or college. this age is very much post-postgrad, I would say. even if by some wing of a prair your random arguing nonsense can be applied the way you say it does (which it cannot, seeing as everyone has obviously gotten twice as rich in the past 10 years, thats an artifact of problems in the survey you obviously haven't caught onto) then hooray, you read a survey and quoted it. unfortunately, it means JACK SQUAT, because its not even remotely relevant to the argument.
no please, please psychoak. insult my ignorance for being right, insult me for noting that your survey has got some serious issues with the way YOU have been applying its data (the income of the poor, obviously this survey is T-E-R-R-I-B-L-E for these purposes, the survey is designed to look for INCOME MOBILITY, which means its going to take data and crunch it according to differences inbetween relative sets of people, making any conjectures about any one class completely irrelevant). go cry and flame all you want, but all you have accomplished here is to twist a survey that CANNOT be accurately used for your purposes. congradulations.
finally, let me simplify this down for you.
your point: poor people getting no good education would remain poor:
fallacy: thats blatantly a false allegation, and horrendus conjecture. but let us continue with the analysis of your errors
what survey do you use?: one used for basing RELATIVE income.
fallacy: while the data set could be misconstreud to be used in your analysis, the final product of THEIR analysis cannot, they've analyzed data without an eye towards education of inter-generational income changes, so its not going to be an accurate representation of such
fallacy: this data is taken in a 10 year span, not generationally (taking 30-40 year olds every 30 years, that would be far more appropriate) as a result we cannot possibly see the effects of education, let alone through the smog of their different data analysis
fallacy: whats completely wrong here, to sum up, is that you've mistaken the change in a bunch of people's incomes over a 10 year period (which would be say, jimmy down at McDs getting the assistant manager position) for people handing down jobs to their children (Joe who used to work at mcds is succeeded by the fortune 500 company CEO) thing is
this data set isnt even laughably close to that. you've gone ahead and tried to dress up a horse like a donkey, a donkey like a horse. I can see right through that, sad no one else can.
theres more, but I'm too tired to type, and I'm afraid someone is going to ruin my lovely edit.
anyway, what you need is a survey that takes, like I said, something along the lines of the incomes of 35-45 year olds every 30 or so years. additionally that data set needs to keep track of lineage, so taht we can tell who lived under who when. even then I will continue to argue that, while education is a great representation of future income, income is a miserable representation of education. that point will be inswayable. So find a new survey, or find a new approach to attacking my point that has nothing to do with income.