Re:Jupyter Notebook Analysis of Salary Data Spreadsheet
by pc86 on Thursday March 24, 2016 @09:42AM
(#11352636)
And yet people will still throw out the ~76 cents on the dollar figure that has been disproven again and again. Even 3% may be statistically significant so I don't see why some people feel the need to be blatantly dishonest regarding the problem.
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Re:Jupyter Notebook Analysis of Salary Data Spreadsheet
by wodenokoto on Thursday March 24, 2016 @12:25PM
(#11354112)
> Even 3% may be statistically significant so I don't see why some people feel the need to be blatantly dishonest regarding the problem.
Statistical significant doesn't mean that it is significant.
Re:Jupyter Notebook Analysis of Salary Data Spreadsheet
by matthewowen on Thursday March 24, 2016 @01:33PM
(#11354694)
The issue isn't just about "choice" etc: it's also about how jobs that women predominantly do are lower in prestige and pay than jobs that men predominantly do.
The change in programming from being a low prestige, low salary job done by women to being a high prestige, high salary job done by men is sometimes cited an example of that. I don't know if there are flaws in that example, but I think the overall idea makes sense. I read an interesting article about this, but I don't recall the link. Sorry.
Re:Jupyter Notebook Analysis of Salary Data Spreadsheet
by pc86 on Thursday March 24, 2016 @02:47PM
(#11355295)
Perhaps its important to determine if there are flaws in the example before using it as an example.
Re:Jupyter Notebook Analysis of Salary Data Spreadsheet
by matthewowen on Thursday March 24, 2016 @02:53PM
(#11355340)
Alternatively, perhaps it's worthwhile to suggest an idea that might be relevant to a topic, even if one doesn't currently have the time or inclination to explore it in depth. I mean, you're interested in the truth right? Not just the rhetoric necessary to argue a position you already hold.
But sure, go for it. Why would you want someone to suggest an alternative way to explore or think about a problem when you can respond with snark instead?
You might find life more fulfilling if you don't treat new information as inherently antagonistic.
Re:Jupyter Notebook Analysis of Salary Data Spreadsheet
by brianwawok on Thursday March 24, 2016 @10:07AM
(#11352852)
Yes people used horrible and biased stats all the time to prove their point. And most people believe it.