Quote:
Quote by: ByaKya  What a suprise, when faced with facts, figures, and statistics, otherwise known as proof, chancellor dismisses them as "lies' ?
Well then, I'm not sure what other kind of proof you are looking for, but I get he feeling no amount of proof will suffice, you have your borderline racist opinions and you're going to keep with them.
Its unfortunate becuase you showed some semblence of being human in the imams thread |
I didn't dismiss them as lies, I used the quote attributed to Mark Twain ("There are lies, damned lies and statistics.") to suggest that these statistics are pretty much meaningless. As I said,
the only valid comparison is two people of different skin colors doing the same job for the same company.
Again, here's something I noticed in your so-called facts and figures:
"In the case of single men and single women, for example, we
can explain the entire race gap in the level of wealth with income and demographics
provided that we estimate the wealth equation on the white sample. In contrast,
we typically explain only a small fraction when we estimate the wealth model on a sample of blacks. In the case of couples,
income and demographics account for 79% of the wealth gap when we use the wealth mean regression model for whites.
We explain only 25% when we use the wealth model for blacks."
Why is that? Why do you have to use different measurements for whites than for blacks? Why is it that one has to "estimate" (meaning to guess at it) the wealth equation on the white sample to explain "the entire race gap" but "typically explain only a small fraction when we estimate the wealth model on a sample of blacks"?
Statistics can be made to say whatever you want just by how you ask the questions. Imagine how you can manipulate the statistics by using different measures for different groups.