On Fri, Jun 1, 2012 at 4:24 PM, Louis Talman <email@example.com> wrote: > > > On Fri, Jun 1, 2012 at 10:12 AM, Paul Tanner <firstname.lastname@example.org> wrote: > >> Without something that is statistics-based like affirmative action, > > > Statistics? The issues here are much deeper than you seem to believe. > > Here is a little problem for you. > > There are 700 individuals on the faculty at Enormous State University, of > whom exactly 210 are women. 30 members of the faculty are appointed to serve > on a committee that is to consider a matter of some importance to all > faculty. Someone observes that only seven members of the committee are women > and alleges bias against women in the selection of the committee. > > Tell us where we should stand on this issue, Paul. (Make no assumptions > beyond those given above.) > > What if only six members of the committee had been women? five? > > How few women must there be before we can make a reasonable case for bias > against women? How many before there is a case for bias against men? >
This is not a problem since you are inventing a straw man.
How is it a straw man?
I put forth the quantification "without some". Think on that.
You think that you could meaningfully enforce anti-discrimination law with NO use of mathematics? If yes, then you understand nothing.