On Nov 25, 5:03 pm, ajayo...@YAHOO.COM (Ajay Ohri) wrote: > One generalized statement based on an inadequate sample size deserves another general statement on type 1 and 2 errors at either tail end of the distribution which is likely skewed and non normal anyways > > Happy Hols > > Ajay > > Sent from my iPhone > > On Nov 25, 2009, at 18:25, Arthur Tabachneck <art...@NETSCAPE.NET> wrote: > > With all of the US SAS programmers wanting to celebrate Thanksgiving > tomorrow, I thought I should add the converse of your logic. The same > statistical fact you mention, if true, should apply both ways. I.e., > if there is a greater likelihood of a large population providing more > of the best, there should be an equally greater likelihood of it > providing the worst of the worst. > > Happy Thanksgiving, > Art > ------------ > On Nov 25, 3:05 pm, xlr82sas <xlr82...@aol.com> wrote: > Hi SAS_lers, > > Recently I have had to write letters of references for several > unemployed US SAS programmers. > These are programmers I have worked with in the past. > > One was hired for a 2 month gig with a bunch of other programmers with > the object to > keep the best programmers and fire the 'least productive'. > There is nothing wrong with this persons SAS programming skills. > > He did not make the cut. > > Recently I wrote another reference for him for a computer science > master degree program. > > When I look at his competition, I think about the normal distribution. > India has over > 1 billion people and China has over 1.2 billion, I think there are > over 150,000 Indians and > Chinese studing Engineering and computer science in US universities > and many more in their > respective countries. The normal distribution dictates that their are > a lot more gifted Indian > and Chinese SAS programmers than US SAS programmers. I have been a > member of a falling minority > of US programmers. I work with Chinese and Indian contractors day in > and day out and the > top Chinese and Indian SAS programmers are > considerably better than the best US programmers. Again you cannot > fight the normal distribution > just like you cannot stop the sunrise. This is not to degrade US SAS > programmers, it is a fact > of life. > > and Chinese SAS programmers than US SAS programmers. I have been a > member of a falling minority

Hi SAS_Lers

I do believe that IQ has been shown to follow the normal distribution with a mean of about 100. I think the worst of the worst are not progarmming in the US.

Sorry about such a down statement at Thanksgiving time.