Gaps and Velocity

 

Came across this by accident...a wamen pretend data scientist trying out this wage gap horseshit again. She was lousy, half of her code was jacked, and she didn’t use the right libraries, but here’s some of the code that I had to rewrite in R:

library(zeallot)
library(wrapr)
library(dplyr)
location <- "https://github.com/WinVector/PDSwR2/raw/master/PUMS/incomedata.rds"
incomedata <- readRDS(url(location))

Then the analysis, wage mean separated by gender:

incomedata %>%
group_by(sex) %>%
summarise(mean_income=mean(income))

Here’s what that looks like:

  sex    mean_income
  <fct>        <dbl>
1 Male        55582.
2 Female      46980.

Wow! Men make a lot more than women. Holy shit, the wage gap is real! Let’s look at who they 

work for:

incomedata %>%

  group_by(sex,employment ) %>%

  summarise(mean_income=mean(income))

   sex    employment                       mean_income
   <fct>  <fct>                                  <dbl>
 1 Male   Employee of a private for profit      54771.
 2 Male   Federal government employee           69037.
 3 Male   Local government employee             59234.
 4 Male   Private not-for-profit employee       56438.
 5 Male   Self employed incorporated            71865.
 6 Male   Self employed not incorporated        43989.
 7 Male   State government employee             55363.
 8 Female Employee of a private for profit      45619.
 9 Female Federal government employee           60596.
10 Female Local government employee             48592.
11 Female Private not-for-profit employee       51120.
12 Female Self employed incorporated            50163.
13 Female Self employed not incorporated        35742.
14 Female State government employee             50705.

These are lower too! The wage gap exists!

You probably didn’t see it. Let me zoom in a bit:

Male Self employed incorporated 71,865.

Female Self employed incorporated            50,163.

Male   Self employed not incorporated        43,989.
Female Self employed not incorporated        35,742.

You see it? Women who are self employed make a lot less than men. In both categories. So 

women are paying themselves less, or making less at their own business. How can a wage gap 

exist for people who decide what their own salaries are going to be?


Speaking of money...
Last year the U.S. balance sheet went from -4.66 trillion to -7.3 trillion, but we didn’t see

solid inflation until months after the stimulus crap. Why is that? Inflation has two 

components, the money supply is increased, and the ‘velocity’ of the money has to change. 

Velocity is just the circulation of the money. In other words, if I print up 3 trillion 

dollars of cash and keep it in a vault, the active money supply doesn’t change. But when 

I put it in circulation then inflation kicks in. So it took a while to get out there, but now 

we have a big problem. Hey, your house is worth 600k! Yeah! Bad news. That’s the same as 300K 

last year.

I’m really starting to hate the news, but here’s some anyway…

Bette Midler wants to have a sex strike, where women don’t have sex with their men until the 

Texas abortion law goes back to the way it was.

https://www.breitbart.com/entertainment/2021/09/03/bette-midler-suggests-women-refuse-to-have-sex-with-men-over-texas-abortion-law/

Her husband is fully supporting the effort.
And 

Dating Apps Bumble and Match Pledge to help women get abortions in response to to Texas Pro-Life 
Law

https://www.breitbart.com/tech/2021/09/03/dating-apps-bumble-match-pledge-to-help-women-get-abortions-in-response-to-texas-pro-life-law/

Now we know what their target demographic is.



Started out as a penal colony, and ended as one. Cyclical!

Taliban told the State department to go F itself. 
I guess I do have something in common with the Taliban:
https://www.breitbart.com/asia/2021/09/03/report-afghan-american-claims-taliban-guard-said-tell-state-department-to-f-themselves/