Invisible Women: Data Bias in a World Designed for Men
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4%
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Dann Todd
And the author is incurious as to why.
5%
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Dann Todd
Unimportant is an incorrect category. Less important is the correct distinction.
5%
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Dann Todd
Elite women who benefitted from slave labor were somehow motivated to undermine the Confederacy and therefore purposefully end slavery?
5%
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Dann Todd
One of these things is not like the others
6%
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Dann Todd
What is the difference in risk of life altering or life ending injuries between the two?
6%
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Dann Todd
Being reminded of that isn’t productive to the objective of a color/gender blind society.
6%
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Dann Todd
Which is why a strident identity focus on other groups is a bad idea.
6%
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Dann Todd
Vox is not reliable. The data shows a similar shift among women. It also excludes the fact that Hillary had demonstrated her incompetence between 2008 and 2011.
7%
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Dann Todd
This entire issue. New info. Interesting. Should influence policy deliberations.
7%
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Dann Todd
Chicago had this in the 70s
8%
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Dann Todd
Cherry picking
11%
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Dann Todd
The story doesn’t mention LA.
14%
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Dann Todd
So what is the paid work differential
15%
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Dann Todd
Apples and oranges
15%
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19%
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Dann Todd
Our two tests
22%
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Dann Todd
So the solution is to warm things up so women are comfortable and the men walk around in thongs? Not a great solution to a difficult problem.
24%
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Dann Todd
Or female bodies are less tolerant of the forces required for working in the field.
24%
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Dann Todd
Smaller bricks means more mortar and more effort in construction.
27%
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Dann Todd
Leaning awful hard on a single source
28%
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28%
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Dann Todd
Which method produces more food?
29%
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Dann Todd
Might there be a value differential between production farming and subsistence or sub-production level farming?
29%
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Dann Todd
2 disqualifying factors
32%
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Dann Todd
What amplification. Presume a 50/50 split is desirable and accurate. Something that is 33% more likely will happen 66.5% of the time. The jump to 68% isn’t that large.
33%
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Dann Todd
Were the top performers actually diverse in the first place? If the top performers in a field are all women then why would the software think men would comprise half of all candidates?
34%
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Dann Todd
100% agree
36%
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Dann Todd
Home run
36%
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Dann Todd
!!
43%
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Dann Todd
ThinkProgress is a biased source and not a news source.
43%
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Dann Todd
Awful lot of “potentially “ being used in this book. Not saying that it isn’t accurate but additional statistical context would be helpful.
45%
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Dann Todd
Yes. My other comments aside. Yes.
48%
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Dann Todd
Or might men have been paid less in pursuit of that objective. Lots of gross assumptions.
48%
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Dann Todd
Will the resulting increase in GDP be sufficient to justify the expenditure?
48%
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Dann Todd
So the additional spending would not create sufficient revenues to cover.
48%
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Dann Todd
Not true when all variables are covered.
49%
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Dann Todd
Doesn’t understand US taxes and deductions. It’s advantageous to file jointly.
50%
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Dann Todd
The income is combined. Not stacked in the way the author describes.
50%
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Dann Todd
The author’s argument only works by arbitrary assigning the woman’s income as the last dollar taxed rather than the first dollar taxed.
51%
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Dann Todd
Unqualified. Corrupt. Proven record of incompetence. That’s why people didn’t vote for her. I’d add in too far left/progressive/socialist.
51%
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Dann Todd
I’m stopping reading here. Trump has many flaws. But he isn’t a failure by any reasonable definition. And in retrospect his first term was largely successful. Including Covid. I voted for Gary Johnson in 2016 because I found Trump and Clinton to be unqualified. Both were morally unqualified. Clinton’s record is one of active incompetence in public office while Trump merely lacked any record in public office.