Posted on 02/08/2015 10:18:53 AM PST by Reverend Saltine
Yup. Ya see, Star Traveler, I always copy-paste the original title, unless it is just sooooo long it HAS to be edited down to even be accepted by FR. Also, I do search the TITLEs to try and be certain I am no double-posting. But thanks for your post, a teachable moment?
Breitbart
When entering search criteria, less is more.
Search for the fewest words possible, the ones most likely to uniquely identify the article. So, not “the”, etc.
In this case, the obvious word would simply be gallup.
You get everything with gallup in the title, sorted from most recent to oldest.
If you don’t find it after perusing the list of matching articles back to the date of publication, it’s probably not been posted.
More likely he will drop dead of a heart attack or hit a tree with his car.
They (msm and Govt.) don’t talk about INFLATION either. Anyone that goes shopping or has to budget knows the prices on food have been going up.
Where’s the MISERY INDEX THAT THE MSM USED TO TOUT?
No ... I was only posting it for ANOTHER REFERENCE to the same story. It’s a different article, and is not considered to be a duplicate. It would be a duplicate if it was the same source, the same writer and the same link ... :-) ...
“Tragic. This is what we have come to; prominent citizens openly terrified of their government ‘not liking’ the truth. This executive is dead serious, and doesn’t care who calls him a crackpot”.
Not to worry Rev.
Rep. JOHN MICA is the new Chair of the House Committee on Investigations & Oversite. I am real sure that he is getting geared up to dive in and get to the bottom of who is cooking the books...perhaps after he investigates “Deflategate”.
A quick follow up here ... you can search for just a “phrase” within the title, something that is not real common.
For instance, if I was searching, I would pick only “Gallup CEO” since that’s fairly unique and not too many recent articles will have it. Try that on a search and see what you come up with.
If you find another article with the exact same full title, and the link is the same, then you know it’s already been posted. If not, then you’re okay.
Another phrase you could pick would be “telling truth about”. Do a search on that and see what you come up with. And you don’t have to use caps, either. With those two examples, you should see how it works ... :-) ...
if so, i bow to your wisdom :)
thanks for the advice. i shall stick to searching the full title, but will try your system as the credible back up
I have combined the tables from several federal government sources into one table to try to prove the point. It's overlong for a reply but me stating that this or that is true cannot match government numbers -- most of the reply is commented-out because the entire effort shows that it is the worst it’s been in 30 years.
How bad can it get? compare the number of working in 2007 and end of 2014. The population has increased. We still lack millions of jobs. And look at how many stopped looking for jobs! And look at those number of people losing jobs during the years Obama was busy destroying our healthcare system! Look how well the foreign born have done.
The data are annualized except when noted otherwise. All are monthly or quarterly. I use the last month / quarter of the year.
Much of the size of this is taken up by instructions on how to get the sources of the data and much, much more data!
The numbered column headings are for:
Taking into account the year preceding the Obama administration, here is the first six years of the administration using these spread sheet formulas to compute %'s:
(2014 value - 2008 value) / 2008 value
I get
Col 11 and Col 12 are the (phony?) Unemployment rate and Unemployment rate of the full-time labor force, respectively. See table for President Obama's disasters in these categories:
| Year |
|---|
| 2007 |
| 2008 |
| 2009 |
| 2010 |
| 2011 |
| 2012 |
| 2013 |
| 2014 |
| Year |
| 2. |
|---|
| 232937 |
| 234825 |
| 236739 |
| 238712 |
| 240431 |
| 244169 |
| 246564 |
| 248843 |
| 2. |
| 3. |
|---|
| 153645 |
| 154723 |
| 153591 |
| 153803 |
| 153995 |
| 155450 |
| 154989 |
| 156258 |
| 3. |
| 4. |
|---|
| 66.0 |
| 65.9 |
| 64.9 |
| 64.4 |
| 64.0 |
| 63.7 |
| 62.9 |
| 62.8 |
| 4. |
| 5. |
|---|
| 146272 |
| 144091 |
| 138368 |
| 139155 |
| 140669 |
| 143303 |
| 144205 |
| 147344 |
| 5. |
| 6. |
|---|
| 62.8 |
| 61.4 |
| 58.4 |
| 58.3 |
| 58.5 |
| 58.7 |
| 58.5 |
| 59.2 |
| 6. |
| 7. |
|---|
| 121621 |
| 118281 |
| 110906 |
| 111655 |
| 113269 |
| 115610 |
| 116826 |
| 119707 |
| 7. |
| 8. |
|---|
| 24727 |
| 25836 |
| 27423 |
| 27444 |
| 27355 |
| 27684 |
| 27378 |
| 27657 |
| 8. |
| 9. |
|---|
| 7374 |
| 10633 |
| 15223 |
| 14649 |
| 13326 |
| 12146 |
| 10784 |
| 8914 |
| 9. |
| 10. |
|---|
| 6009 |
| 9009 |
| 13444 |
| 12867 |
| 11521 |
| 10338 |
| 9171 |
| 7478 |
| 10. |
| 11. |
|---|
| 4.8 |
| 6.9 |
| 9.9 |
| 9.5 |
| 8.7 |
| 7.8 |
| 7.0 |
| 5.7 |
| 11. |
| 12. |
|---|
| 4.7 |
| 7.1 |
| 10.8 |
| 10.3 |
| 9.2 |
| 8.2 |
| 7.3 |
| 5.9 |
| 12. |
| 13. |
|---|
| 79291 |
| 80102 |
| 83148 |
| 84908 |
| 86436 |
| 88719 |
| 91575 |
| 92584 |
| 13. |
| pop. |
|---|
| 301230 |
| 304090 |
| 306770 |
| 309330 |
| 311590 |
| 313910 |
| 316160 |
| 319470 |
| pop. |
| labor1 | labor1 | |
|---|---|---|
| 123524 | 22810 | |
| 121211 | 22138 | |
| 116663 | 21290 | |
| 117006 | 22153 | |
| 118033 | 22647 | |
| 119844 | 23216 | |
| 120636 | 23787 | |
| 122558 | 24890 | |
| labor1 | labor1 | |
| force | force | |
| domestic | foreign | |
| born | born | |
| [1000s] | [1000s] |
| PR2 |
|---|
| 68.2 |
| 67.9 |
| 67.2 |
| 67.8 |
| 67.4 |
| 66.4 |
| 66.1 |
| 65.9 |
| PR2 |
| UR2 |
|---|
| 4.7 |
| 7.6 |
| 11.0 |
| 10.6 |
| 8.8 |
| 8.0 |
| 6.5 |
| 5.3 |
| UR2 |
| income3 |
|---|
| 56,436 |
| 54,423 |
| 54,059 |
| 52,646 |
| 51,842 |
| 51,759 |
| 51,939 |
| N |
| income3 |
| median income |
| Recession |
|---|
| Dec 2007 |
| to |
| Jun 2009 |
| - |
| - |
| - |
| - |
| - |
| Year |
|---|
| 2007 |
| 2008 |
| 2009 |
| 2010 |
| 2011 |
| 2012 |
| 2013 |
| 2014 |
| Year |
| GDP |
|---|
| 1.8 |
| -0.3 |
| -2.8 |
| 2.5 |
| 1.6 |
| 2.3 |
| 2.2 |
| 5 |
| GDP |
| % chg |
| PCE |
|---|
| 0.34 |
| -3.16 |
| -0.01 |
| 2.79 |
| 0.94 |
| 1.32 |
| 2.51 |
| 2.21 |
| PCE |
| U-6 |
|---|
| 8.8 |
| 13.6 |
| 17.1 |
| 16.6 |
| 15.2 |
| 14.4 |
| 13.1 |
| 11.2 |
| U-6 |
| U-2 |
|---|
| 2.5 |
| 4.3 |
| 6.3 |
| 5.7 |
| 4.9 |
| 4.2 |
| 3.5 |
| 2.8 |
| U-2 |
| SSDI |
|---|
| 823,106 |
| 895,011 |
| 985,940 |
| 1,052,551 |
| 1,025,003 |
| 979,973 |
| 884,894 |
| 810,973 |
| SSDI |
1labor: If second labor column (foreign born) is not shown hover the labor (domestic numbers) for foreign born numbers.
Source: to find the tables go here Data Retrieval: Labor Force Statistics (CPS)
HOUSEHOLD DATA Table A-7. Employment status of the civilian population by nativity and sex, not seasonally adjusted [Numbers in thousands]
Employment status and nativity. Then
Scroll down to "Retrieve Data"
The data that I include above are from the month of December except for 2014 where November is the last month with data available.
2 PR Civilian labor force participation rate, foreign born and UR unemployment rate, foreign born. See 1 for source.
3income: For the Census Bureau income data go here. Choose "Consumer Income Reports (P60)" then choose "P60-249 Income and Poverty in the United States: 2013" (pdf file).
|
The numbered column headings are for:
The rest of the columns are:
Some columns are combined / omitted to fit desired columns on a PC screen. Use hover to view combined columns.
All values in the numbered-columns are from annualized quarterly sources. The value displayed is for the fourth quarter.
| Table Information |
|---|
| Column headings 1 to 13 |
| I've combined several tables into one. Most of the tables were obtained here: go to Bureau of Labor Statistics (BLS) Labor Force Statisics from the Current Population Survey (CPS). Make your selections. I chose quarterly data. I took the fourth quarter data from each table and combined them into the main part of the table above. For the year 2014 I took the third quarter data. |
| pop. Population data |
|---|
| Go here U.S. population and US Census clock, Dec 22, 2014 319.47 million |
| Recession |
|---|
| CENSUS BUREAU, BUREAU OF LABOR STATISTICS SOURCES |
| National Bureau of Economic Research, Inc. Cambridge MA 02138 US Business Cycle Expansions and Contractions Link from BLS SPOTLIGHT ON STATISTICS THE RECESSION OF 2007 – 2009 |
| GDP - Table 1.1.1. Percent Change From Preceding Period in Real Gross Domestic Product (annual rates) |
|---|
| see PCE |
| PCE Personal consumption expenditures |
|---|
| The GDP Personal consumption expenditures percentage US Department of Commerce, Bureau of Economic Analysis (BEA) Gross Domestic Product (GDP) If you are not at Gross Domestic Product (GDP) search for it. It should be on page http://www.bea.gov/national/index.htm. Then click on
I did not know which tables to look for so I chose to download them all in csv format. I clicked on Section 1 (2852.7k) I used Table 1.1.2. Contributions to Percent Change in Real Gross Domestic Product |
| U-6 |
|---|
| Hover column for U-2 data. |
| U-1 to U-6 unemployment rates. We know how the "official unemployment rate" is manipulated so I won't include it here. These are annualized monthly data for December. For 2014 I used November. |
| Series Id: LNS13327709 Seasonally Adjusted Series title: (seas) Total unemployed, plus all marginally attached workers plus total employed part time for economic reasons, as a percent of all civilian labor force plus all marginally attached workers Labor force status: Aggregated totals unemployed Type of data: Percent or rate Age: 16 years and over Percent/rates: Unemployed and mrg attached and pt for econ reas as percent of labor force plus marg attached. |
| U-2 |
|---|
| U-1 to U-6 unemployment rates. These are annualized monthly data for December. For 2014 I used November. |
| Series Id: LNS14023621 Seasonally Adjusted Series title: (Seas) Unemployment Rate - Job Losers Type of data: Percent or rate Age: 16 years and over Reasons looking for work: Job losers and persons who completed temporary jobs U-2 |
| SSDI |
|---|
| Selected Data from Social Security's Disability Program |
| The following table presents unedited data (including corrections, if any) on disabled worker beneficiaries paid from Social Security's Disability Insurance Trust Fund. In particular, unedited award data may contain duplicate cases. |
| 2014 data are the sum of first three quarters |
Footnotes
N Not available.
Z Represents or rounds to zero.
It's possible that one of the IRS's new SWAT teams (yes they now have them) will deliver that letter as this may be a rush case like in the film "Brazil".
If the IRS audit does not work... then will will resort to making him disappear.
It may not seem that this is true ... but ... you can search on the full title and miss the same article (it might not even show up), but if you search on a small key phrase, you won’t miss it ... :-) ...
He may wish he’d disappeared after the IRS gets through with him.
details.. yes I included the links to the sources. Are you suggesting that I made it all up?
don’t know what you are referring to. If I thought you made something up I’d maybe possibly say something like, oh, maybe, “I think you made that up out of what you call your “brain,” but I never said any of that. None of it.
if you’re calling me out here, you ahve to show me your badges....
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