Zero Hedge asks what is going on with monthly BLS data, Citizen Wells response, Feb 2015 295k jobs yielded 96k employments, 43k less white employments, 354k labor force dropouts, White House and media lies about jobs and economy
“Of the approx. 6 million new employments since Obama took office in January 2009, 4,511,000, 75 percent, were Hispanic/Latino!”…Citizen Wells
“In February 2015 there were 43,000 fewer white Americans employed, 354,000 more not in the labor force, 96,000 more employed and we added 295,000 jobs? Was Common Core math used?”…Citizen Wells
“Freedom is the freedom to say that two plus two make four. If that is granted, all else follows.”…George Orwell, “1984″
Don’t forget, each January the Labor Dept. “rectifies” the employment data.
From Zero Hedge March 17, 2015.
“Something Strange Is Going On With Nonfarm Payrolls”
“Let’s start with the basics: why is there a majority consensus that the Fed will hike rates after it removes its “patient” language tomorrow? One simple reason: non-farm payrolls. As reported earlier in the month, following the report of March’s expectations smashing 295,000 jobs added, there have now been a 13 consecutive months of 200K+ payroll months…”
“So a pattern emerges: we have an economy in which jobs and only jobs are acting as if there is a strong recovery, while everything else is sliding, disappointing economists, and in fact hinting at another contraction (whatever you do, don’t look at the Fed’s internal model of Q1 GDP).
To be sure, economists these days are better known as weathermen, and so they are quick to blame every economic disappointment on the weather. Because, you see, they were unaware it was snowing outside when they provided their forecasts about the future, a future which should be impacted by the snowfall that day, and which they promptly scapegoat as the reason for their cluelessness. Yet one wonders: why didn’t the harsh snow (in the winter) pound February jobs as well? Recall last year’s payroll disappointments were immediately blamed on the weather which was just as “harsh” as this year. Why the difference?
And yet, today this rising “anomaly” between Nonfarm Payolls “data” and everything else, hit a crescendo, and some – such as Jim Bianco – have had it with the lies anomalies, which prompted him to ask the following:
Why Are Construction Jobs and Housing Starts Telling Different Stories? Is The Problem Non-Farm Payrolls”
“So, instead of asking why everything else is showing an abnormal – and rapid – slowdown in the US economy (and blaming everything on snow) is it about time that everyone – the Fed included – finally asks:just what is going on with the “data” that is reported every month by the Bureau of Labor Statistics?”
From Citizen Wells March 14, 2015.
“You don’t have to be a rocket scientist or a math whiz to evaluate the data from the US Labor Department.
You just have to care and have basic math skills.
Sadly this is lacking in the mainstream media.
Even Fox News.
Some of the more blatant lies (yes Gallup CEO Jim Clifton was correct to call them lies), relate to the unemployment rate and it’s improvement and job growth.
For example, in February 2015 the Labor Dept. reported 295,000 jobs added.
However, there was only a 96,000 gain in employment.
And Whites had 43,000 fewer employments!
There were 354,000 more people not in the labor force!
There were 180,000 more people not in the labor force who want a job now!
Did you know?
5,205,000 full time employments were lost during the first year of Obama’s occupation of the White House from January 2009 to January 2010?
2.8 million white Americans fewer were employed during Obama’s first year.
During Obama’s term, from January 2009 to now, 75 percent of the employment went to Hispanics/Latinos.
Since it is PI Day and Einstein’s birthday, I present some new data and a math lesson. Math that I understood by the fifth grade.
Below are the changes in employment by race during the first 6 years of the Obama Administration.
The ratio of employment added in 6 years over employment in Jan. 2009 is given with the resulting percent change over 6 years.
1,172,000 / 116,863,000 = .01 = 1 %
1,590,000 / 15,481,000 = .103 = 10.3 %
4,511,000 / 19,794,000 = .228 = 22.8 %
1,934,000 / 6,606,000 = .293 = 29.3 %
How do you like those numbers?
Seen/heard them reported by the White House or mainstream media, Fox?
Our math capabilities have diminished in this country.
But our real problems are priorities and integrity.”