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by liedra 4632 days ago
"Applications of statistics in this area fail to illuminate but at all any useful causal link." - if you're relying on statistics to show things in this area you're missing the complexity of the situation which a more interpretative account may be able to find meaning in. Statistics is not the be all and end all.

You may be bored/fed up/whatever by it but many women (and men) in tech aren't - and nor should we be. It's a highly socially constructed issue that is endemic in our society and not present in others. If you think it's about suppressing ability then you obviously have absolutely no idea about the challenges of getting women into tech.

1 comments

if you're relying on statistics to show things in this area you're missing the complexity of the situation which a more interpretative account may be able to find meaning in. Statistics is not the be all and end all.

Sounds a lot like "that A/B test didn't give the results I wanted so lets try again with a higher p-value cutoff and fewer controls."

Not at all - I think a qualitative approach may be able to illustrate the problem better because you can get more complexity from deeper questioning.