The Pardu

The Pardu
Watchful eyes and ears feed the brain, thus nourishing the brain cells.

Friday, February 9, 2018

Former GOP State Attorney General Attacked GOP CNN Contributor (Sexism and Male Dominance)







A few minutes ago we published a piece about White House staff departures and accusations of abuse against current or past Trump (high level) staff. While physical and verbal abuse against women wasn't the primary theme of the piece, we visited with Trump staffers who have a history of abuse.

After publising the piece, I recalled a CNN segment with noted CNN Contributor (Paleozoic Era) Former Virginia Attorney General Ken Cuccinelli (R) and Republican consultant and CNN contributor Anna Navarro (an avid anti-Trump Republican). Cuccinelli's male dominant inner core rose to the top as he accused Navarro of a "Shrill Voice."  

Why the connection between the earlier piece and the over the top attack against the Republican non-Trump supporter Navarro?  There exist a clear case of male-dominance in the GOP despite the lack of comment or discussion of male dominance, I posit it is as prevalent as the clear and present GOP aversion to social diversity.

"I’m Sick and Tired of Listening to Your Shrill Voice" (short segment version)

Do you think Cuccinelli would have used "shrill voice" on any male guest who took exception to his positron? 

Full version (watch as Cuccinelli roils out that tired Trump mantra of M-13)


All said and as sad as can be, Cuccinelli seems to exclude the very undercurrent of white (male) privilege which is deeply ingrained in the GOP.


The following New York Times 2016 General Election exit poll data tells a story. I will not rehash past personal observations and comment about the data; I will direct you to the first "Sex" data category.  You should wonder, why?

Sex

Male
Data not available
41%
53%
5
Female
Data not available
54%
42%
1

Race

White
Data not available
37%
58%
1
Black
Data not available
88%
8%
7
Hispanic/Latino
Data not available
65%
29%
8
Asian
Data not available
65%
29%
11
Other
Data not available
56%
37%
1

Age

18-29
Data not available
55%
37%
5
30-44
Data not available
50%
42%
1
45-64
Data not available
44%
53%
5
65 and over
Data not available
45%
53%
4


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