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Research finds no gender bias in academic science

insidehighered.com

131–132 of 132 posts

Re: Research finds no gender bias in academic science

#131

Earlier quoted context omitted.

The NBA cares. In terms of bottom line, they are helped by having diverse players. Yao Ming opened the game up to a billion audience market. Top jersey sales often go to rising white stars in the game. Ones of the pushes in the league is to make foreign European players appeal more to white Americans. We’re not trying to have the league match US demographics, but make no mistake that diversity is a big deal to the NB…

Diversity should only matter in that it furthers the level of basketball being played. Diversity because it opens up additional markets is an awful incentive. That they only care about diversity because it makes them richer is very telling. On top of that, the NBA is always going to have a problem with height diversity. I don’t think this is a problem, but viewed with an equity lens it is.

> Diversity should only matter in that it furthers the level of basketball being played.

Why? It seems to me if the NBA wants to continue to exist in the future, they should want to get as many people as possible playing and watching basketball. Why does it have to be about furthering the l bel of play, rather than getting more people playing and watching and participating?

Re: Research finds no gender bias in academic science

#132
post #129

Earlier quoted context omitted.

So are you then arguing that, since the average is no difference in discrimination except small wage discrimination in favor of men and hiring in favor of women , the reality is larger discrimination against men and women that averages out mostly?

Out of curiosity, what part of my prior comment of findings lead to your conclusion that I made the argument you stated?

The article concludes there is no difference except the ones outlined, you pointed out that sub economies have differing results. To have no difference in population but significant difference in sub population thw variance needs to be opposite enough to cancel out significance just by how the math works.
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