Shadowstats: Unemployment Rate is 22.5%

Cultural shifts. So I'll ask again: do you honestly believe that during the recession a whole bunch of people just decided to leave/not join the labour force for an unrelated reason, causing the employment to population ratio to permanently fall so many points? If you think no, like I do, then employment-population is a decent measure which isn't thrown off by the fact that workers become "discouraged" during downturns.
Since 2008 you have had about 7,500 Boomers retiring at age 62 EVERY DAY, the earliest age they are able to collect!!! If you don't think that has had a significant effect on the labor force/population ratio, enough to make it a useless measurement of economic activity, then I don't know what else to say.

Source?
You are new here, I always have sources.

http://liber8.stlouisfed.org/newsletter/2008/200803.pdf
Baby Boomer Retirement March 2008
Over the course of the next two decades, an average of 10,000 baby boomers per day will reach retirement age.

Ideation Insurance Group
Approximately 3 out of 4 Americans start claiming Social Security benefits the moment they are eligible at age 62.
 
Since 2008 you have had about 7,500 Boomers retiring at age 62 EVERY DAY, the earliest age they are able to collect!!! If you don't think that has had a significant effect on the labor force/population ratio, enough to make it a useless measurement of economic activity, then I don't know what else to say.

Source?
You are new here, I always have sources.

http://liber8.stlouisfed.org/newsletter/2008/200803.pdf
Baby Boomer Retirement March 2008
Over the course of the next two decades, an average of 10,000 baby boomers per day will reach retirement age.

Ideation Insurance Group
Approximately 3 out of 4 Americans start claiming Social Security benefits the moment they are eligible at age 62.

Cool. So 10,000 a day; 365 days a year; 3,650,000 retirees exit the labour force a year. In 2008 the civilian non-institutional population was about 232,500,000. So the employment-population ratio should fall about 3650000/232500000 = 0.016 percentage points a year. It fell a good 5% during the recession. So it doesn't look like that effect is especially significant.
 
Cultural shifts. So I'll ask again: do you honestly believe that during the recession a whole bunch of people just decided to leave/not join the labour force for an unrelated reason, causing the employment to population ratio to permanently fall so many points? If you think no, like I do, then employment-population is a decent measure which isn't thrown off by the fact that workers become "discouraged" during downturns.

Alot of analysis of "discouraged workers" has been done and if you review the literature you'll see it's hard to put a peg on them. (I assume that you'll agree that the U4-U3 population is essentially the population you're referring to, just a year later.)

I believe:

1. There's no tight correlation between labor force growth and population growth. Population growth would be only 1 factor
2. Alot or people in 2008 were thinking about retiring. And they did. Alot of people in 2008 were thinking about going back to school. And they did. Alot of people (mostly women) were thining about staying home with the kids. And they did. And i don't think they're likely ever going back to work, or at least not on the job market's terms.

In other words, I think that the events of '08 were profound enough to transcend the notion of "discouragement". Our workforce simply shrank.
 
That's not true!!! The labor force INCREASED by 500,000 workers in January. It was the population that grew by over a million when the new census was used in January!!!

And it's U-4 that counts the workers who dropped out of the workforce, which is 8.9%

Well argue with Forbes and CBC news about the former (I provided the links in the original post you are responding to) and as for the latter:

The US Bureau of Labor Statistics defines U-6 as:

"The U-6 unemployment rate includes the total unemployed, plus all marginally attached workers, plus total employed part time for economic reasons, as a percent of the civilian labor force plus all marginally attached workers. Marginally attached workers are persons who currently are neither working nor looking for work but indicate that they want and are available for a job and have looked for work sometime in the recent past. Discouraged workers, a subset of the marginally attached, have given a job-market related reason for not looking currently for a job. Persons employed part time for economic reasons are those who want and are available for full-time work but have had to settle for a part-time schedule. "

What is Unemployment? | No Job Advice and Help
 
You are new here, I always have sources.

http://liber8.stlouisfed.org/newsletter/2008/200803.pdf
Baby Boomer Retirement March 2008
Over the course of the next two decades, an average of 10,000 baby boomers per day will reach retirement age.

Ideation Insurance Group
Approximately 3 out of 4 Americans start claiming Social Security benefits the moment they are eligible at age 62.

Cool. So 10,000 a day; 365 days a year; 3,650,000 retirees exit the labour force a year. In 2008 the civilian non-institutional population was about 232,500,000. So the employment-population ratio should fall about 3650000/232500000 = 0.016 percentage points a year. It fell a good 5% during the recession. So it doesn't look like that effect is especially significant.
Your math is a little rusty, it's 1.6%/year. And only 3 of 4 are retiring at 62 so that would make it 1.2%/year. Of course others of the 1/4 that don't retire at 62 are retiring at older ages, so the 1.2%/year is a minimum retirement number.
 
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That's not true!!! The labor force INCREASED by 500,000 workers in January. It was the population that grew by over a million when the new census was used in January!!!

And it's U-4 that counts the workers who dropped out of the workforce, which is 8.9%

Well argue with Forbes and CBC news about the former (I provided the links in the original post you are responding to) and as for the latter:

The US Bureau of Labor Statistics defines U-6 as:

"The U-6 unemployment rate includes the total unemployed, plus all marginally attached workers, plus total employed part time for economic reasons, as a percent of the civilian labor force plus all marginally attached workers. Marginally attached workers are persons who currently are neither working nor looking for work but indicate that they want and are available for a job and have looked for work sometime in the recent past. Discouraged workers, a subset of the marginally attached, have given a job-market related reason for not looking currently for a job. Persons employed part time for economic reasons are those who want and are available for full-time work but have had to settle for a part-time schedule. "

What is Unemployment? | No Job Advice and Help
The U-6 rate is different from the U-4 rate and is usually called the UNDERemployment rate because it includes people who are working but not full time and they would like to work full time. The U-6 rate is presently 15.1%

Now how does that change the fact that the labor force GREW by 500,000 workers in January, the month you said it shrank by 1.2 million?
 
You are new here, I always have sources.

http://liber8.stlouisfed.org/newsletter/2008/200803.pdf
Baby Boomer Retirement March 2008
Over the course of the next two decades, an average of 10,000 baby boomers per day will reach retirement age.

Ideation Insurance Group
Approximately 3 out of 4 Americans start claiming Social Security benefits the moment they are eligible at age 62.

Cool. So 10,000 a day; 365 days a year; 3,650,000 retirees exit the labour force a year. In 2008 the civilian non-institutional population was about 232,500,000. So the employment-population ratio should fall about 3650000/232500000 = 0.016 percentage points a year. It fell a good 5% during the recession. So it doesn't look like that effect is especially significant.
Your math is a little rusty, it's 1.6%/year.

Haha. Whoops. Didn't multiply the 0.016 by a hundred. My mistake.

Yeah okay so that seems like it should be a pretty big effect. So I guess now my question is, given that effect, how do we explain the speed and magnitude of the drop (it was still a huge drop that happened over two years), and why did it level out afterwards? From late 2009 to now employment-population hasn't been declining at 1.6% per year, it's been flat.

fredgraph.png


Is the baby boomer story consistent with this?
 
That's not true!!! The labor force INCREASED by 500,000 workers in January. It was the population that grew by over a million when the new census was used in January!!!

And it's U-4 that counts the workers who dropped out of the workforce, which is 8.9%

Well argue with Forbes and CBC news about the former (I provided the links in the original post you are responding to) and as for the latter:

The US Bureau of Labor Statistics defines U-6 as:

"The U-6 unemployment rate includes the total unemployed, plus all marginally attached workers, plus total employed part time for economic reasons, as a percent of the civilian labor force plus all marginally attached workers. Marginally attached workers are persons who currently are neither working nor looking for work but indicate that they want and are available for a job and have looked for work sometime in the recent past. Discouraged workers, a subset of the marginally attached, have given a job-market related reason for not looking currently for a job. Persons employed part time for economic reasons are those who want and are available for full-time work but have had to settle for a part-time schedule. "

What is Unemployment? | No Job Advice and Help

U6 is obviously an amalgamation of many types of non-worker and underemployed. Discouraged workers are U4-U3. I don't think we know how many people remain "discouraged" for over a year and therfore drop out of U4 and remain uncounted.

If you stop looking for work for 4 weeks you become a "discouraged worker". "Discouraged workers" aren't necessarily people who haven't worked in years.
 
Cool. So 10,000 a day; 365 days a year; 3,650,000 retirees exit the labour force a year. In 2008 the civilian non-institutional population was about 232,500,000. So the employment-population ratio should fall about 3650000/232500000 = 0.016 percentage points a year. It fell a good 5% during the recession. So it doesn't look like that effect is especially significant.
Your math is a little rusty, it's 1.6%/year.

Haha. Whoops. Didn't multiply the 0.016 by a hundred. My mistake.

Yeah okay so that seems like it should be a pretty big effect. So I guess now my question is, given that effect, how do we explain the speed and magnitude of the drop (it was still a huge drop that happened over two years), and why did it level out afterwards? From late 2009 to now employment-population hasn't been declining at 1.6% per year, it's been flat.

fredgraph.png


Is the baby boomer story consistent with this?
I would say it is a good reason why that CE/P ratio is pretty much useless as a measurement of economic activity. Even though all those Boomers left the workforce, the labor force grew by 500,000 in January.
 
OMG, that's a REALLY BIG NUMBER!! Buy gold now!! Buy a gun!! Stock up on food and supplies!!

Actually, those are good ideas even when the number isn't really big. It's always a good idea to save.

Shadowstats is useless on three counts. One is simply that he provides no demonstration of his method. The second is that, in relative terms, all measure go up together regardless and the Shadowstats number provides no new information except it is bigger. The third is that the number is only meaningful in comparison to the natural level of unemployment.

In looking at the Shadowstats fuzzy description of how cost of living is determined, it is obvious that he lacks any fundamental understanding of measurement. The description of his measure amounts to estimating the general error of the BEA CPI, taking a small sample of prices, estimating the error for the new BEA CPI, then adding this to the BEA CPI.

It is like having bad yard stick, estimating how far off it is, measuring the length of a football field with it, measuring the length of the in-zone using a ruler of choice, estimating the the error of the yard stick measurement, then adding the estimated error plus the ruler measure to the yard stick measurement and coming up with a measurement of the total field length. It is too complicated, it is full of even more measurement errors, and it is useless.

We might just as well take the BLS number for U6, pick some arbitrary number that we like, then add that to every new BLS number.

That's all fine because, in the end, the absolute measure of unemployment means less than its relative value with respect to other months and years. Whatever measure is used, when unemployment rises, they all go up.

The Bureau of Labor and Statistics has six different measures of the unemployment rate. These are U1 through U6 and each successive measurement includes an ever increasing group of individuals, depending on how "unemployed" is defined. All of them are "released" to the media. Anyone can go look them up. Google "U6 BLS". It is table A-15. The only thing that is happening with "they don't release it to the media" is that everyone likes one number that they can compare to the last number. The historical definition has been U3.

The latest numbers are u1=4.9%. The latest number for u6 is 15.1%. If you like, you can take the total number of people that are employed, subtract it from the total population over 18, and divide by total population over 18. That will get a number that is the absolute maximum.

If you don't like 18, use 16. If you like, you can use the total population instead of those over 18. That will give you an even bigger number.

But it's all relative to what other months and years were as well as what is considered the "natural" unemployment rate. Whether we use the BLS numbers or Shadowstats numbers, we have some preferred level for that particular measurement. We know that the "natural" level of unemployment for U3 is between 5% and 7%. Without some natural level of unemployment for the Shadowstats number, the Shadowstats number is useless.

What we cannot do is to compare U6 in January to U3 in October or to the 5% - 7% natural rate for U3.

Anyone can, if they want to spend the time, find out the unemployment rate in their area. All you gotta do is go through the phone book and make your own sample. If you want to pay for it, then make random calls across the country. It's not hard, it's just a waste of time when the BLS has gone through the trouble to do it already.

What is notable is the psychology beneath using the Shadowstats number. Any feedback and control system is dependent on outside information to be precise and accurate. This is no less true of people. Without feedback, we would all be crazy. Crazy people suffer from some sort of disconnect from reality. Really crazy people are obvious, they act totally on some internalize images. PSTD is a form of this where the person reacts to the intense experiences from the past, like getting shot or road side bombs. People that have been abused do the same, reacting to the current situation as if it were the situation of abuse.

At a more subtle level, we all do this. We learn how to catch a block by watching our hand and arm. After a while, we can catch a baseball without paying close attention to our hand. The external feedback has been internalize and replaced with the feeling of how our arm moves.

There are more subtle levels of crazy. They are marked by some statement of "I don't pay attention to that." External feedback is summarily dismissed. The use of Shadowstats is no less true. Here we have six different measurements of unemployment provided by the BLS. We can pick whichever we want to go with. Some, rather than pick a measurement with published methodology, attach a sweeping assessment to all government agencies. They are all part of a conspiracy.

Sure, politicians and people have tendencies. One of the tendencies of professionals at the BLS, who invested a heck of a lot in learning the methodologies of statistics and economics, is that they are as precise and accurate as they can possibly be.

If we don't like U6, and think instead of 15.1% for Jan 2012, it should be 22.5%, we can do just as well as Shadowstats by just adding 7.4% to every U6 measurement. Here is that table

Seasonally adjusted

Jan 2011 17.3% + 7.4% = 24.7%
Dec 2011 15.2% + 7.4% = 22.6%
Jan 2012 16.2% + 7.4% = 23.6%

Seasonally adjusted
Jan 2011 16.1% + 7.4% = 23.5%
Sep 2011 16.4% + 7.4% = 23.8%
Oct 2011 16.0% + 7.4% = 23.4%
Nov 2011 15.6% + 7.4% = 23.0%
Dec 2011 15.2% + 7.4% = 22.6%
Jan 2012 15.1% + 7.4% = 22.5%

The natural rate would be between
5% + 7.4% = 12.4% and 7% + 7.4% = 14.4%

But what have we gained if we are simply interested in if the current rate is bigger than the natural rate? Nothing.

On the other hand, different economic conditions do mean that u1 through u6 will changed differently. Obviously, when we have "full employment" and U3 is at 6%, U6 will be much closer to it then it is now. We have a lot of people out of work that would take a job if they could get one. That includes discouraged workers that now reasonably expect rejection no matter how much hope they can muster. And that is important, so the difference between u6 and u3 gives us a number that is representative of that sense of things. And there are some good posts here that present good ways of looking at the numbers, even other numbers.

Shadowstats provides absolutely nothing in terms of what its measurement represents. I don't trust anyone. I trust Shadowstats even less. "You can't trust the government, but you can trust me." Why? For all I know, he walked up and down the street in East LA. Shadowstats doesn't provide any way of looking at it except, "I'm a conspiracy crackpot and believe in bigger numbers because bigger numbers are scarier."
 
:clap2:
Accuse your opponents of what you are at present doing. Rush Limbaugh
You know, when you are a messiah, when you have a messianic attitude about yourself,
nobody's supposed to doubt you
. Rush Limbaugh
Don't doubt me. I say it, you believe it. That's the rule here. Rush Limbaugh
The power of accurate observation is commonly called Cynicism
by those who have not got it.
George Bernard Shaw
Cynics regarded everybody as equally corrupt...
Idealists regarded everybody as equally corrupt, except themselves.

Robert Anton Wilson
Idealism is what precedes experience; cynicism is what follows. David T. Wolf
:clap2:
 
BLS publishes this: BLS Handbook of Methods

They tell everybody exactly what methods and formulas they're using and also publish detailed disaggregated data. I've looked through the shadowstats website and can't find anything similar. How is anybody supposed to verify his results or check that his methods aren't flawed?

With regard to the CPI, he says that he is going to. He is looking for someone with a college degree that can help him get it published.

His method is to estimate the error of the BEA and BLS, to a small sample, then adjust the published numbers based on his sample and error estimate. He couldn't do a worse job if he tried. All measurements have some error, it's called measurement error. His error estimate has error. His sample has error. No engineer, physicist, statistician, or economist would take a measure they considered in error and add two more errors to it.

The BEA actually responded to him, as part of a general response to numerous stuff on the web. He then respond in kind. It is interesting.
 
OMG, that's a REALLY BIG NUMBER!! Buy gold now!! Buy a gun!! Stock up on food and supplies!!

Actually, those are good ideas even when the number isn't really big. It's always a good idea to save.

Shadowstats is useless on three counts. One is simply that he provides no demonstration of his method. The second is that, in relative terms, all measure go up together regardless and the Shadowstats number provides no new information except it is bigger. The third is that the number is only meaningful in comparison to the natural level of unemployment.

In looking at the Shadowstats fuzzy description of how cost of living is determined, it is obvious that he lacks any fundamental understanding of measurement. The description of his measure amounts to estimating the general error of the BEA CPI, taking a small sample of prices, estimating the error for the new BEA CPI, then adding this to the BEA CPI.

It is like having bad yard stick, estimating how far off it is, measuring the length of a football field with it, measuring the length of the in-zone using a ruler of choice, estimating the the error of the yard stick measurement, then adding the estimated error plus the ruler measure to the yard stick measurement and coming up with a measurement of the total field length. It is too complicated, it is full of even more measurement errors, and it is useless.

We might just as well take the BLS number for U6, pick some arbitrary number that we like, then add that to every new BLS number.

That's all fine because, in the end, the absolute measure of unemployment means less than its relative value with respect to other months and years. Whatever measure is used, when unemployment rises, they all go up.

The Bureau of Labor and Statistics has six different measures of the unemployment rate. These are U1 through U6 and each successive measurement includes an ever increasing group of individuals, depending on how "unemployed" is defined. All of them are "released" to the media. Anyone can go look them up. Google "U6 BLS". It is table A-15. The only thing that is happening with "they don't release it to the media" is that everyone likes one number that they can compare to the last number. The historical definition has been U3.

The latest numbers are u1=4.9%. The latest number for u6 is 15.1%. If you like, you can take the total number of people that are employed, subtract it from the total population over 18, and divide by total population over 18. That will get a number that is the absolute maximum.

If you don't like 18, use 16. If you like, you can use the total population instead of those over 18. That will give you an even bigger number.

But it's all relative to what other months and years were as well as what is considered the "natural" unemployment rate. Whether we use the BLS numbers or Shadowstats numbers, we have some preferred level for that particular measurement. We know that the "natural" level of unemployment for U3 is between 5% and 7%. Without some natural level of unemployment for the Shadowstats number, the Shadowstats number is useless.

What we cannot do is to compare U6 in January to U3 in October or to the 5% - 7% natural rate for U3.

Anyone can, if they want to spend the time, find out the unemployment rate in their area. All you gotta do is go through the phone book and make your own sample. If you want to pay for it, then make random calls across the country. It's not hard, it's just a waste of time when the BLS has gone through the trouble to do it already.

What is notable is the psychology beneath using the Shadowstats number. Any feedback and control system is dependent on outside information to be precise and accurate. This is no less true of people. Without feedback, we would all be crazy. Crazy people suffer from some sort of disconnect from reality. Really crazy people are obvious, they act totally on some internalize images. PSTD is a form of this where the person reacts to the intense experiences from the past, like getting shot or road side bombs. People that have been abused do the same, reacting to the current situation as if it were the situation of abuse.

At a more subtle level, we all do this. We learn how to catch a block by watching our hand and arm. After a while, we can catch a baseball without paying close attention to our hand. The external feedback has been internalize and replaced with the feeling of how our arm moves.

There are more subtle levels of crazy. They are marked by some statement of "I don't pay attention to that." External feedback is summarily dismissed. The use of Shadowstats is no less true. Here we have six different measurements of unemployment provided by the BLS. We can pick whichever we want to go with. Some, rather than pick a measurement with published methodology, attach a sweeping assessment to all government agencies. They are all part of a conspiracy.

Sure, politicians and people have tendencies. One of the tendencies of professionals at the BLS, who invested a heck of a lot in learning the methodologies of statistics and economics, is that they are as precise and accurate as they can possibly be.

If we don't like U6, and think instead of 15.1% for Jan 2012, it should be 22.5%, we can do just as well as Shadowstats by just adding 7.4% to every U6 measurement. Here is that table

Seasonally adjusted

Jan 2011 17.3% + 7.4% = 24.7%
Dec 2011 15.2% + 7.4% = 22.6%
Jan 2012 16.2% + 7.4% = 23.6%

Seasonally adjusted
Jan 2011 16.1% + 7.4% = 23.5%
Sep 2011 16.4% + 7.4% = 23.8%
Oct 2011 16.0% + 7.4% = 23.4%
Nov 2011 15.6% + 7.4% = 23.0%
Dec 2011 15.2% + 7.4% = 22.6%
Jan 2012 15.1% + 7.4% = 22.5%

The natural rate would be between
5% + 7.4% = 12.4% and 7% + 7.4% = 14.4%

But what have we gained if we are simply interested in if the current rate is bigger than the natural rate? Nothing.

On the other hand, different economic conditions do mean that u1 through u6 will changed differently. Obviously, when we have "full employment" and U3 is at 6%, U6 will be much closer to it then it is now. We have a lot of people out of work that would take a job if they could get one. That includes discouraged workers that now reasonably expect rejection no matter how much hope they can muster. And that is important, so the difference between u6 and u3 gives us a number that is representative of that sense of things. And there are some good posts here that present good ways of looking at the numbers, even other numbers.

Shadowstats provides absolutely nothing in terms of what its measurement represents. I don't trust anyone. I trust Shadowstats even less. "You can't trust the government, but you can trust me." Why? For all I know, he walked up and down the street in East LA. Shadowstats doesn't provide any way of looking at it except, "I'm a conspiracy crackpot and believe in bigger numbers because bigger numbers are scarier."

It's like he threw a brick at the message board.
 
BLS publishes this: BLS Handbook of Methods

They tell everybody exactly what methods and formulas they're using and also publish detailed disaggregated data. I've looked through the shadowstats website and can't find anything similar. How is anybody supposed to verify his results or check that his methods aren't flawed?

With regard to the CPI, he says that he is going to. He is looking for someone with a college degree that can help him get it published.

His method is to estimate the error of the BEA and BLS, to a small sample, then adjust the published numbers based on his sample and error estimate. He couldn't do a worse job if he tried. All measurements have some error, it's called measurement error.

If it's random measurement error, that's dealt with already. Random sampling and unbiased estimators give E[e] = 0. If it's a systematic error, has he told us where he thinks it is?

The BEA actually responded to him, as part of a general response to numerous stuff on the web. He then respond in kind. It is interesting.

Got a link? That'd be a good read.
 
There is no scientific method to accurately state the employment for a nation the size of ours - no way no how.
Having said that...I don't think anyone remotely believes it is even near 8.3%. That doesn't pass the smell test.
I have been saying for at least 2 years now that unemployment is not the real story.
The REAL story is one not being told - underemployment and wage stagnation. This is a far more serious problem than unemployment.
 
A good indication of where we are really at is looking at the total labor force population. The official "unemployment" numbers are totally cooked to hide the truth.

In Jan 2009 65.7% of the country was employed. Jan 2012 its 63.7%. Keep in mind our population gets larger every year. This is a loss of millions of jobs.

Its just laughable that many liberals on this board try to convince everyone that an unemployment rate of 8.3% is "good news" and "proof" of a recovery.


Bureau of Labor Statistics Data
 
There is no scientific method to accurately state the employment for a nation the size of ours - no way no how.

I believe that the sampling that the BLS does is based on something called "statistics". A few of us might have taken it in college.

Having said that...I don't think anyone remotely believes it is even near 8.3%. That doesn't pass the smell test.

It's "statistics". I'm dead serious. That shit works.

I have been saying for at least 2 years now that unemployment is not the real story. The REAL story is one not being told ... wage stagnation.

.... and a general lack of upward mobility.... and no job security for most of us..... and a failure by government and the private sector alike to recognize that credit finance is a critical component of the American economy and being reckless with it is as much a crime as it would be to tamper with a city's water supply.

But nobody's actually being held accountable for anything.
 
A good indication of where we are really at is looking at the total labor force population. The official "unemployment" numbers are totally cooked to hide the truth.

In Jan 2009 65.7% of the country was employed. Jan 2012 its 63.7%. Keep in mind our population gets larger every year. This is a loss of millions of jobs.

Its just laughable that many liberals on this board try to convince everyone that an unemployment rate of 8.3% is "good news" and "proof" of a recovery.


Bureau of Labor Statistics Data
Actually the labor force/population rate is easily the worst measure of the economy. All that has to happen is the population growing faster than the workforce is GROWING for the % to go down. That is exactly what is happening now.

As the Right-Wing Zero Hedge pointed out, the labor force GREW by 500,000 in January but the participation rate went down.

Record 1.2 Million People Fall Out Of Labor Force In One Month, Labor Force Participation Rate Tumbles To Fresh 30 Year Low | ZeroHedge
So as the labor force increased from 153.9 million to 154.4 million, the non institutional population increased by 242.3 million meaning, those not in the labor force surged from 86.7 million to 87.9 million. Which means that the civilian labor force tumbled to a fresh 30 year low of 63.7%
 
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A good indication of where we are really at is looking at the total labor force population. The official "unemployment" numbers are totally cooked to hide the truth.

In Jan 2009 65.7% of the country was employed.

The total "labor force" population is what the BLS looks at. Your 65.7% number includes people who simply are not part of the labor force. The BLS is incredibly transparent (and, in my opionion, very generous) about how they define someone as being "part of the labor force."

You would get a better education simply reading the threads than you get watching Fox News.
 
Let's do math to find out how many people Williams is adding to get his 22.5% rate.

From BLS news release we can see that
Labor Force is 154,395,000
Unemployment is 12,758,000
(Table A-1)

Part Time for Economic Reasons is 8,230,000 (Table A-8)

Marginally Attached to the Labor Force is 2,809,000 (Table A-16)

Now Williams claims that all he's doing is adding people who would be discouraged but hadn't looked for work in over a year (discouraged are a subset of the marginally attached) to the U-6.

The U-6 is (unemployed + Marginally attached + part time for economic reasons)/(Labor force + marginally attached). So (12,758,000 + 2,809,000 + 8,230,000)/(154,395,000 + 2,809,000) = 23,797,000/157,204,000 = 15.1%

Williams claims by adding on people who want and are available to work but aren't looking now or in over a year because they don't think they'll find work will change that to 22.5%.

Since his group is not in the denominator, we have to add it to the numerator and demonitar of the U-6, so (23,797,000+X)/(157,204,000 + X) = .225
23,797,000 + X = .225*157,204,000 + .225X
23,797,000 + X = 35,370,900 + .225X
.775X = 11,573,900
X = 14,934,065

That's rather a lot. Especially if we look back to Table A-1, and look at "Persons who currently want a job" which is those who are not employed nor unemployed (looking for work) but say they want to work. That number is 6,319,000. But that includes the marginally attached. So that leaves around 3,500,00 people not counted in the U-6 who want work. So how's Williams getting 15 million?
 
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