How can you compare CEOs of two different companies? At higher levels the competition pool thins considerably and becomes far less significant... the VP of finance cannot be compared to the same position at another company, let alone the VP of HR.
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Replying to @Ahimsa_Satya_ @BarackObama
I didn't compare. In France it's common knowledge so I didn't thought a lot about this.
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Replying to @GirardForum @BarackObama
I’m not sure if I trust “common knowledge” especially with it being such a political point of contention. Would rather refer to economic research.
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Replying to @Ahimsa_Satya_ @BarackObama
It's political but in France everyone agrees. Debates are here about solutions not about the diagnosis. Many women also have bad jobs (e.g. cleaning ones, rooms or old or ill people), with bad time schedules (e.g. in restaurants) and unwanted par-time jobs.
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Replying to @GirardForum @BarackObama
You are taking the side of the crowd. You have no evidence or scientific research to support your diagnosis.
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Replying to @Ahimsa_Satya_ @BarackObama
Here, for example, source of the datas : INSEE - national institute of statistics (a reliable reference in France)https://www.inegalites.fr/Les-inegalites-de-salaires-entre-les-femmes-et-les-hommes-etat-des-lieux …
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Replying to @GirardForum @BarackObama
The very first line of that article contains the error. The AVERAGE net monthly salary of men in full-time equivalent is 22.8% higher than women. Here is our problem. There is no understanding of multivariate analysis or non-Gaussian distributions.
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Implying that a non-Gaussian solution is something that is bad is a result of a desire for platonic idealism or symmetry which does not exist in nature. You wish to conform nature to your symmetrical ideas of an ordered world.
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You must understand non-guassian distributions, particularly with respect to the fat tails. Additionally, a difference doesn’t tell us anything at all, we must know WHY and that is a multivariate analysis based that is reduced when taking into account what I’ve said above.
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Additionally we must find multivariate reasons for the difference that are significant and then we must examine the second and third order effects of intervening in the natural self-selection that produces asymmetries.
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Perhaps you should consider the expendability of men. How might men being expendable result in them taking up the extreme ends of sociological distributions in income, intelligence, education, etc.
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