Re:U.S. Tech Salaries Grow, but Not for Everyone
by tmule on Wednesday October 06, 2021 @07:12PM
(#28779666)
Without defining truth and correct, the rejoinder makes little sense, your data science credentials notwithstanding.
What seems like a plausible interpretation to my un-credentialed, low-IQ self is:
1. Within dimension comparisons in this instance may suggest that “like” populations are similar across gender, suggesting that there is no bias in how tech compensates women and men.
2. The distribution of said dimensions differing between men and women may reflect exogenous effects that are not controllable by tech since they’re upstream of the tech hiring process.
Re:U.S. Tech Salaries Grow, but Not for Everyone
by xenocyon on Wednesday October 06, 2021 @08:31PM
(#28780253)
Regarding Simpson's paradox, you can see a good treatment here [0] describing whether splitting a group is correct or not (based on causality); see Section 2.2 specifically.
What seems like a plausible interpretation to my un-credentialed, low-IQ self is: 1. Within dimension comparisons in this instance may suggest that “like” populations are similar across gender, suggesting that there is no bias in how tech compensates women and men. 2. The distribution of said dimensions differing between men and women may reflect exogenous effects that are not controllable by tech since they’re upstream of the tech hiring process.