|
|
|
|
|
by postnihilism
3233 days ago
|
|
My comment about 'White Male Persecution Complex (PC)" was tongue and cheek. I should have known that would be a mistake in this conversation. I have many white male coworkers (as you'd expect given the demographic statistics for tech) and I have nothing but the utmost respect for their ability. I don't harbor any assumption that, "that they've had a silver spoon in their mouths their whole life." I don't think that believing that there are groups that have been more economically and socially marginalized than white males is alienating. I also don't think that it implies that I believe my white male coworkers have been given a free pass to the positions they are in today. Everyone I work with has had to pass the same bar. As I've stated, all of the statements I've made here are my own, made on my own time, on a public site and do not represent the views of my employer. I leave my politics at home. |
|
White/black/male/female/etc is a really bad proxy for a person's history and character. Something along the lines of "don't judge me by the color of my skin but by the content of my character" rings a bell.
If you are concerned about socio-economic advantages, look at tax returns, not skin color. I know a number of white males that had extremely rough histories and disadvantages, living homeless for a few years or growing up in a cult in Utah and being abused by the leaders of the cult. I have black friends from school who were growing up in one of the richest neighborhoods in the US and attending one of the best schools in the area, going on to Stanford.
Don't dance around the disadvantages you want to correct by using race/gender as a proxy. Measure the disadvantages directly. Broken home? Poverty? Juvinile criminal record? Non-contiguous educational history? All of these are directly measurable/verifiable.
If you want to give the less advantaged individuals more of a chance to fulfill their potential I'm all for it. But measure more accurately than skin color or gender, where the spread and distribution around the averages is far too wide to be valuable, and will exclude a large group of people that have suffered disadvantages and let in a significant number of people who haven't really suffered the disadvantages their group has suffered on average.