Posts by WilliamofCarmichael

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  • An Economic Indicator That Predicted The Last 7 Recessions Predicts No Recession Any Time Soon

    12/18/2014 9:01:42 PM PST · 17 of 22
    WilliamofCarmichael to blam
    Ever since a FReeper asked for ideas to counter Obama supporter claims about his great economy I've looked for unbiased tables to present proof that the 1960s aging campus radical, psycho spoiled brats and their ideological litter braggarts are (mostly) full of it. Here are three tables that IMO show the decades long impact of Reagan. Proof that we can go for years and years of good times.

    The sources for the data are listed if you want to see for yourself.

    Labor Force Statistics from the Current Population Survey (CPS)

    go to Labor Force Statisics from the Current Population Survey (CPS) and select
    • Both sexes,
    • All races,
    • All origins,
    • 16 years and older
    • All educational levels,
    • All marital statuses,
    • while holding down CTL select
      • Civilian noninstitutional population and
      • everything else except part time work stuff
    • Seasonally adjusted, and
    • Quaterly.

    Than click "Get data"

    Once the data are delivered select a different from date if you wish and click "Go".

    Population data came from:

    Population Estimates Program, Population Division, U.S. Census Bureau. Also Census Fact Finder for beyond 2009

    Source: Population Estimates Program, Population Division, U.S. Census Bureau Internet Release Date: April 11, 2000 Revised date: June 28, 2000.

    I took the population numbers and the first quarter data from each of the eleven tables obtained from BLS and combined them into the table below. N = not available.

    I omitted population and some other columns to try to get the remaining columns side by side.

    1. Population
    2. Civilian noninstitutional population [thousands]
    3. Civilian labor force [thousands]
    4. Civilian labor force participation rate
    5. Employed [thousands]
    6. Employment-population ratio
    7. Employed full time (persons who usually work 35 hours or more) [thousands]
    8. Unemployed [thousands]
    9. Unemployed looking for full-time work [thousands]
    10. Unemployment rate
    11. Unemployment rate of the full-time labor force
    12. Not in labor force [thousands]
    Year Qtr1 3. 4. 6. 10. 11. 12.
    1948 60231 58.7 56.5 3.7 N N
    1949 60968 58.9 56.1 4.6 N N
    1950 61650 58.9 55.1 6.4 N N
    1951 62081 59.3 57.2 3.5 N N
    1952 62193 59.3 57.5 3.1 N N
    1953 63539 59.6 58.0 2.7 N N
    1954 63629 59.0 55.9 5.2 N N
    1955 63830 58.5 55.7 4.7 N N
    1956 66239 60.0 57.5 4.0 N N
    1957 66740 59.7 57.4 4.0 N N
    1958 67171 59.3 55.6 6.3 N N
    1959 67884 59.2 55.7 5.8 N N
    1960 68770 58.9 55.9 5.2 N N
    1961 70523 59.6 55.6 6.8 N N
    1962 70337 58.9 55.6 5.6 N N
    1963 71277 58.6 55.2 5.8 N N
    1964 72584 58.7 55.5 5.5 N N
    1965 73792 58.7 55.8 4.9 N N
    1966 75073 58.9 56.6 3.9 N N
    1967 76496 59.3 57.0 3.8 N N
    1968 78023 59.4 57.2 3.7 3.4 N
    1969 79874 59.8 57.8 3.4 3.0 N
    1970 82210 60.5 57.9 4.2 3.8 N
    1971 83676 60.2 56.6 5.9 5.5 N
    1972 86208 60.3 56.8 5.8 5.4 N
    1973 88232 60.4 57.4 5.0 4.6 N
    1974 91379 61.3 58.2 5.1 4.7 N
    1975 93023 61.2 56.2 8.2 8.0 58964
    1976 95049 61.3 56.5 7.7 7.5 60026
    1977 97703 61.9 57.2 7.5 7.2 60208
    1978 100934 62.8 58.8 6.3 6.0 59895
    1979 104383 63.7 60.0 5.9 5.5 59374
    1980 106567 63.9 59.9 6.3 6.0 60195
    1981 108274 64.0 59.2 7.4 7.3 61005
    1982 109374 63.8 58.1 8.8 8.9 62123
    1983 110639 63.8 57.1 10.4 10.9 62866
    1984 112512 64.0 59.0 7.9 8.0 63167
    1985 114976 64.8 60.1 7.3 7.2 62546
    1986 116928 65.0 60.5 7.0 6.9 62897
    1987 119079 65.4 61.1 6.6 6.5 62923
    1988 121013 65.8 62.0 5.7 5.5 62954
    1989 123251 66.3 62.9 5.2 5.0 62522
    1990 125781 66.7 63.1 5.3 5.1 62849
    1991 126071 66.3 61.9 6.6 6.5 64200
    1992 127357 66.3 61.4 7.4 7.4 64718
    1993 128485 66.2 61.5 7.2 7.1 65621
    1994 130555 66.6 62.2 6.6 6.7 65530
    1995 132087 66.8 63.1 5.5 5.4 65795
    1996 132916 66.5 62.8 5.5 5.5 66860
    1997 135582 67.0 63.5 5.2 5.1 66813
    1998 137148 67.1 64.0 4.6 4.5 67247
    1999 138900 67.1 64.3 4.3 4.1 67976
    2000 142386 67.3 64.6 4.0 3.9 69200
    2001 143808 67.2 64.3 4.2 4.1 70293
    2002 144339 66.6 62.8 5.7 5.8 72325
    2003 146020 66.3 62.4 5.9 6.0 74090
    2004 146832 66.0 62.3 5.7 5.7 75524
    2005 148261 65.9 62.4 5.3 5.2 76777
    2006 150556 66.1 63.0 4.7 4.6 77208
    2007 153059 66.3 63.3 4.5 4.5 77780
    2008 153874 66.1 62.8 5.0 4.9 78932
    2009 154294 65.7 60.2 8.3 8.9 80619
    2010 153696 64.9 58.5 9.8 10.7 83301
    2011 153294 64.2 58.4 9.0 9.7 85558
    2012 154655 63.8 58.5 8.2 8.8 87782
    2013 155437 63.5 58.6 7.7 8.2 89392
    2014 155804 63.1 58.9 6.7 7.0 91282
    one two three
    N N N
    N N N
    N N N
    N N N
    N N N
    N N N
    N N N
    N N N
    N N N
    N N N
    N N N
    N N N
    N N N
    N N N
    N N N
    N N 5.17%
    N N 4.70%
    N N 4.15%
    N N 3.13%
    N N 2.93%
    N N 2.90%
    N N 2.58%
    N N 3.19%
    N N 4.64%
    N N 4.51%
    N N 3.87%
    N N 3.92%
    27.30% N 6.69%
    27.53% N 6.22%
    27.34% N 5.94%
    26.91% N 4.98%
    26.38% N 4.54%
    26.49% N 4.99%
    26.59% N 6.08%
    26.82% N 7.37%
    26.89% N 8.87%
    26.79% N 6.54%
    26.29% N 5.96%
    26.19% N 5.73%
    25.97% N 5.33%
    25.75% N 4.56%
    25.33% N 4.15%
    25.19% N 4.22%
    25.46% N 5.38%
    25.38% N 6.07%
    25.46% N 5.82%
    25.17% N 5.37%
    25.04% N 4.36%
    25.21% 10.80% 4.45%
    24.95% 11.30% 4.18%
    24.88% 11.70% 3.66%
    24.93% 11.90% 3.39%
    24.52% 13.30% 3.21%
    24.67% 13.80% 3.39%
    25.15% 14.00% 4.84%
    25.54% 14.40% 4.92%
    25.79% 14.50% 4.73%
    25.98% 14.80% 4.32%
    25.88% 15.30% 3.84%
    25.82% 15.70% 3.70%
    25.96% 15.60% 4.09%
    26.28% 15.50% 7.22%
    26.98% 15.80% 8.60%
    27.55% 15.90% 7.85%
    28.06% N 7.13%
    28.37% N 6.61%
    28.77% N 5.67%
    % not in % labor % Unemployed
    labor force force foreign looking for
    born full-time work
    Recession
    November 1948(IV) to
    October 1949 (IV)
    N
    N
    N
    July 1953(II)
    May 1954 (II)
    N
    N
    August 1957(III)
    April 1958 (II)
    N
    April 1960(II)
    February 1961 (I)
    N
    N
    N
    N
    N
    N
    N
    December 1969(IV)
    November 1970 (IV)
    N
    N
    November 1973(IV)
    -
    March 1975 (I)
    N
    N
    N
    N
    January(I) - July 1980 (III)
    July 1981(III)
    November 1982 (IV)
    N
    N
    N
    N
    N
    N
    N
    July 1990(III)
    March 1991(I)
    N
    N
    N
    N
    N
    N
    N
    N
    N
    March(I) - November 2001 (IV)
    N
    N
    N
    N
    N
    December 2007 (IV)
    -
    June 2009 (II)

    One: % not in labor force; Not in labor force / U.S. population.
    Two: Source July 2013 Foreign-born workers in the U.S. labor force Percent of the U.S. labor force that is foreign born, 1996–2012 annual averages "The foreign born include legally admitted immigrants, refugees, temporary residents such as students and temporary workers, and undocumented immigrants. The survey data, however, do not separately identify the numbers of persons in these categories.
    Three: % Unemployed looking for full-time work; Unemployed looking for full-time work / Civilian labor force.

    US Business Cycle Expansions and Contractions

    US Business Cycle Expansions and Contractions, Contractions (recessions) start at the peak of a business cycle and end at the trough.

    National Bureau of Economic Research, Inc. Cambridge MA 02138

    Link from BLS SPOTLIGHT ON STATISTICS THE RECESSION OF 2007 – 2009

    The NBER does not define a recession in terms of two consecutive quarters of decline in real GDP.
    Rather, a recession is a significant decline in economic activity spread across the economy, lasting more than a few months, normally visible in real GDP, real income, employment, industrial production, and wholesale-retail sales.

    To the best of my knowledge I copied the source data correctly.

  • Rush Limbaugh Show,M-F,12NOONPM-3PM,EST,WOR AM,December 17,2014

    12/17/2014 9:46:41 AM PST · 21 of 124
    WilliamofCarmichael to Biggirl
    Jul 8, 1998 - “Stroke of the pen. Law of the land. Kinda cool.” –Clinton presidential aide Paul Begala, July 1998

    1960s Marxist-Alinksy campus radical, psycho spoiled brats the Clintons, et al and their ideological litters the Obamas, et al.

  • THREE DEAD IN BLOODY END TO SIEGE: Two hostages dead and Muslim gunman killed...

    12/15/2014 2:10:47 PM PST · 40 of 72
    WilliamofCarmichael to naturalman1975
    WHAT IS THE SHAHADA FLAG? Held up to a window by terrified hostages, a black flag covered in white Arabic was the first sign that the Martin Place siege could be linked to extremist Islam . . . It is used by the extremist group, Jabhat al Nusra, which is fighting the Assad government in Syria . . . .

    There must be funds supporting Islamist groups here in the U.S.

    The Islamist groups surely can be sued by people here in the U.S. of A. harmed by violence.

    Traditional principles of vicarious liability include

    • aiding and abetting and
    • civil conspiracy.

    Though associated with criminal law, these theories can be used to attribute fault to persons not directly related to an act that harmed a victim.

    It must be proved that the others 'provided substantial assistance or encouragement' to those who did harm the victim.

    In the SPLC suit against Tom Metzger and WAR the skinheads were not members of Metzger's WAR. But Metzger's rantings had influence over the mindless skinheads due to his reputation in the white supremacy movement

    • the argument for liability becomes strong because
    • the one with the influence knows that the actor will probably act on his advice.

    Tom Metzger recruited 16-year-old Mazzella and schooled him in the world of racist violence. Mazzella was sent to Portland to join up with and train the East Side White Pride [skinheads]. Members of that group later brutally murdered an innocent black man.

    How is that any different that being "recruited" by Islamism?

    The aiding and abetting theory fits because

    • it depicts two or more independent actors,
    • at least one of whom encouraged the other(s) to act.

    Lawyers can invoke the aiding and abetting theory with relative ease. Invoking the aiding and abetting assumes two independent actors.

    To prove an aiding and abetting claim

    • the defendant must have provided the actor with substantial assistance or encouragement
    • expecting that the actor will commit violence;
    • the encouragement must have been largely responsible for causing the violent conduct;
    • the crime must also have been a foreseeable result of the assistance.

    Civil conspiracy was also used and proved against the Metzgers because he had contacted the East Side White Pride skinheads and after the murder and their arrest one skinhead called Metzger from jail. Here civil conspiracy might be proved by any contacts between the criminals and the Islamists' websites.

    Obviously I am not a lawyer and this is a kind of an outline of information available on the Internet.

    I recall reading about lawsuits following 9/11 including a suit against Saudi Arabia; to wit, from an Internet search

    Jul 8, 2014 - The long-running case, brought by thousands of 9/11 victims, relatives and others, now proceeds toward trial against Saudi Arabia and other ...
  • Lies, Damn Lies, and American Politics

    12/14/2014 10:39:24 AM PST · 15 of 18
    WilliamofCarmichael to Kaslin
    Take, for example, Uncle Sam’s economic statistics. Does anyone really believe that only 5.8% of working age people are unemployed? Of course, leftists do. But for the rest of us, we know the government doctors figures, emphasizes the unimportant, and deemphasizes the useful to make the economy look better than it really is . . . .

    He's right. But there are so many Census, BLS, and other government tables. Even the Employment Situation tables have the truth you just have to look a little. Even the MSM employees know about the labor force participation rate.

    I have the time to look for those other tables. The "progressives" like to compare Reagan and Obama administrations vis-a-vis the economy. The tables help prove that whatever Obama claimed the unemployment rate was earlier this year is a lie even without considering labor force participation rate.

    Comparing Reagan to Obama.. job numbers. Here's just one source.

    Source:

    Choose Total nonfarm, Seasonally adjusted then
    • scroll down and click Retrieve Data button
    • Change Output Options from date to 1979,
    • Click Go button.

    (abridged) Total nonfarm seasonally adjusted employed Establishment Data 1979 - 2014
    Series Id: CES0000000001
    Seasonally Adjusted
    Super Sector: Total nonfarm
    Industry: Total nonfarm
    NAICS Code: -
    Data Type: ALL EMPLOYEES, THOUSANDS

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
    1979 88810 89054 89480 89418 89791 90109 90215 90297 90325 90482 90576 90673
    1980 90802 90882 90994 90850 90419 90099 89837 90097 90210 90491 90748 90943
    1981 91037 91105 91210 91283 91293 91490 91602 91566 91479 91380 91171 90893
    1982 90567 90562 90432 90152 90107 89864 89522 89364 89183 88906 88783 88769
    1983 88993 88918 89090 89366 89643 90022 90440 90132 91247 91518 91871 92227
    1984 92673 93154 93429 93792 94100 94479 94792 95034 95344 95630 95979 96107
    1985 96373 96497 96843 97039 97313 97459 97649 97842 98045 98233 98442 98609
    1986 98734 98841 98935 99122 99249 99155 99473 99587 99934 100120 100306 100511
    1987 100683 100915 101164 101502 101728 101900 102247 102418 102646 103138 103370 103664
    . . .
    2007 137448 137536 137724 137802 137946 138017 137984 137968 138053 138135 138253 138350
    2008 138365 138279 138199 137985 137803 137631 137421 137162 136710 136236 135471 134774
    2009 133976 133275 132449 131765 131411 130944 130617 130401 130174 129976 129970 129687
    2010 129705 129655 129811 130062 130578 130456 130395 130353 130296 130537 130674 130745
    2011 130815 130983 131195 131517 131619 131836 131942 132064 132285 132468 132632 132828
    2012 133188 133414 133657 133753 133863 133951 134111 134261 134422 134647 134850 135064
    2013 135261 135541 135682 135885 136084 136285 136434 136636 136800 137037 137311 137395
    2014 137539 137761 137964 138268 138497 138764 139007 139210 139481 139724(P) 140045(P)
    2015 ????


    Re: 2009 and 2010. While those Dem pukes were gallivanting around Washington with their victory and opportunity to use health care to fundamentally change America into a Marxist, centrally controlled state 8,660,000 Americans lost their jobs. Starting with election years

    Reagan years, Jan. of each year 1980 - 1987

    • 90802
    • 91037
    • 90567
    • 88993
    • 92673
    • 96373
    • 98734
    Obama years, Jan. of each year 2008 - 2014
    • 138365
    • 133976
    • 129705
    • 130815
    • 133188
    • 135261
    • 137539

    Using column A in a spread sheet for each administration

    • subtract prior year from current year (=A2 - A1) that gives year-to-year gains and losses:
      • Reagan
        • 235
        • -470
        • -1574
        • 3680
        • 3700
        • 2361
        and
      • Obama
        • -4389
        • -4271
        • 1110
        • 2373
        • 2073
        • 2278
        respectively;
      • then
      • =sum(gains) - sum(abs(losses)) and
      • add that to quantity from the election year of the administration and
      • it should equal the value of the last year being considered here; finally
      • the difference between the first and last years being considered is the difference between Reagan and Obama; to wit,
        • Reagan: 7,932,000 more jobs in January of the last year being considered than were in January of year one;
        • Obama: 826,000 (826,000!) fewer jobs in January of the last year being considered than were in January of year one.

    Of course I could have done that last step and been done with it but

    • look what was happening to millions of families while
    • the aging 1960s Marxist-Alinsky campus radical, psycho spoiled brats and their ideological litters (Obama, et al.) were consumed during the first two years of Obama with destroying our health care system;
    • well over eight-and-one-half million Americans lost
      • jobs,
      • many lost homes, and
      • all lost much of what they worked for years to get;

    That's what Senator Schumer was referring to. .. and what of the domestic millions added to the population and the tens of millions more that Obama and the Republican Chamber of Commerce are inviting to "Come on in!"?

    The reason I wanted to try to step through this carefully as I can be is that I cannot believe that such things happen in America. That the 1960s Marxist-Alinsky campus radical, psycho spoiled brats really did get control.. it really happened just like I feared that it would.

  • Why white people should protest racial injustice

    12/14/2014 9:23:13 AM PST · 58 of 71
    WilliamofCarmichael to artichokegrower
    As a direct descendant of Southern slave owners, I am implicated in this system [that] repulses me . . . living in an unjust, bigoted society . . . turns us into victims on one side and villains and oppressors on the other; [time to end the oppressors!] Thousands of white people in this country apparently feel the same.

    Yes the whites' slogan should be "Hands up, shoot" Look at these pitiful numbers. Though whites outnumber blacks at least six-to-one the criminal homicides figures show us whites being bumped off at a meager rate of only a little more than two to one.

    To make up for being the evil of all evil we must shout "Hands up, shoot" to get those numbers up.. uh but the author of the articles and his ilk are of course exempt.

    Expanded Homicide Data
    Table 6 data for multiple years.

    FBI Homicides Statistics

    Year of
    Stats
    Race of
    Victims

    Total
    White
    Offenders
    Black
    Offenders
    Unknown
    & other
    2012
    White
    3,128
    2,614
    431
    83
    Black
    2,648
    193
    2,412
    43
    2011
    White
    3,172
    2,630
    448
    94
    Black
    2,695
    193
    2,447
    55
    2010
    White
    3,327
    2,777
    447
    103
    Black
    2,720
    218
    2,459
    43
    2009
    White
    3,518
    2,963
    454
    101
    Black
    2,867
    209
    2,604
    54
    2008
    White
    3,643
    3,036
    504
    103
    Black
    3,024
    230
    2,722
    72
    2007
    White
    3,587
    2,918
    566
    103
    Black
    3,221
    245
    2,905
    71
    2006
    White
    3,709
    3,026
    573
    110
    Black
    3,303
    208
    3,034
    61
    2005
    White
    3,785
    3,150
    516
    119
    Black
    3,289
    230
    2,984
    75
    2004
    White
    3,727
    3,123
    522
    85
    Black
    3,067
    228
    2,784
    55
    1995
    White
    4,954
    4,124
    699
    131
    Black
    4,764
    281
    4,422
    61

    I did not find data for the years 1996 through 2003

    www.fbi.gov About Us CJIS UCR Crime in the U.S. Here's the links to most of the FBI tables I referenced above.

    Here's 2012

    Here's 2011

    Here's 2010

    Here's 2009

    • choose Continue to Crime in the United States, 2009
    • choose Homicides
    • choose Expanded Homicide Data Table 6

    Here's 2008

    Here's 2007

    • choose Homicides
    • choose Expanded Homicide Data Tables / Table 5

    Here's 2006

    • choose Expanded Homicide Data
    • choose Expanded Homicide Table 5

    Here's 2005

    • choose Expanded Homicide Data
    • choose Expanded Homicide Data Table 5

    It is long past the time when facts should be made public to expose the lies and misrepresentations of the Obama-Holder demagogues and the race-grievance industry.The Obama-Holder demagogues, the race-grievance industry, and most employees of the MSM have made this a racial issue. So let's see..

    So adding up the blacks killed by whites (Col 1) and whites killed by blacks(col 2). Surprise.

    col 1 Col 2
    193 431
    193 448
    218 447
    209 454
    230 504
    245 566
    208 573
    230 516
    228 522
    281 699
    2235 5160

    Whites outnumber blacks by at least six-to-one BTW.

  • Senator: Bush misled nation in run-up to Iraq war

    12/13/2014 8:45:03 PM PST · 31 of 57
    WilliamofCarmichael to NonValueAdded
    RE: Levin is what pond scum scrapes off its shoes.

    Yeah those Dems Feinstein, Levin, and all are skid marks on Uncle Sam's shorts.

  • Senator: Bush misled nation in run-up to Iraq war

    12/13/2014 8:42:04 PM PST · 30 of 57
    WilliamofCarmichael to MinorityRepublican
    I cannot find the Ted Kennedy quote but I remember him acknowledging that
    • it was the public opinion majority that believed that Iraq (Saddam) was involved in 9/11 -- AND
    • that makes George Bush a liar because he will not do anything to get what he (Bush) knows is the truth out to the public.
  • How do you do a self search for only articles you have posted?

  • Officers Shoot And Kill 19 Year Old Suspect Armed With Handgun (Topeka, Kansas)

    12/13/2014 2:12:02 PM PST · 16 of 62
    WilliamofCarmichael to rdl6989
    Profiling!

    Maybe. No race mentioned in article. Usually means black. In that case the Obama-Holder demagogues, the race-grievance industry, most MSM and university employees scream "PROFILING!"..

    Hands off. Don't look.

  • How do you do a self search for only articles you have posted?

    12/13/2014 2:03:19 PM PST · 12 of 19
    WilliamofCarmichael to Louis Foxwell
    try google

    site:www.freerepublic.com

    and set dates to the year Free Republic began and 12/31/1999

    I get dozens of hits.

  • How do you do a self search for only articles you have posted?

    12/13/2014 1:57:50 PM PST · 11 of 19
    WilliamofCarmichael to big bad easter bunny
    I simply use google.. bing has some but google seems to get 'em within minutes and keep 'em forever.

    You can also include something from your past replies to find specific ones.

    If you wind up with too much other stuff not you use

    site:www.freerepublic.com [name] [anything else to narrow the search]

    For example site:www.freerepublic.com "big bad easter bunny" got

    About 1,850 results (0.27 seconds)

    Search Results

    How do you do a self search for only articles you have posted?
    www.freerepublic.com/focus/chat/3236907/posts
    Free Republic
    35 mins ago - To: big bad easter bunny. You will need a mirror for this. Go get that and then let us know you are ready... 4 posted on December 13, 2014 at ...

    .. and more than 1,800 more.

  • Why Middle-Class Wealth Is Withering [Alinsky At Work: Destroy The Middle-Class and Destroy America]

    12/13/2014 12:40:07 PM PST · 19 of 21
    WilliamofCarmichael to Steelfish
    a growing racial wealth divide

    The Obama-Holder demagogues, the race-grievance industry, and most MSM and university employees want this to be a race issue.

    I prefer to focus on jobs and wish a Reagan regardless of color had been elected in 2008.

    Most-Requested CPS Tables. Choose: Employment status of the population, 1940s to date

    HOUSEHOLD DATA
    ANNUAL AVERAGES
    1. Employment status of the civilian noninstitutional population, 1943 to date

    [Numbers in thousands]

    Civilian labor force
    Employed Unemployed
    Year Civilian
    noninstitutional
    population
    Total Percent
    of
    population
    Total Percent
    of
    population
    Agri-
    culture
    Nonagri-
    cultural
    industries
    Number Percent
    of
    labor
    force
    Not
    in
    labor
    force
    Persons 14
    and over
    1943 94,640 55,540 58.7 54,470 57.6 9,080 45,390 1,070 1.9 39,100
    1944 93,220 54,630 58.6 53,960 57.9 8,950 45,010 670 1.2 38,590
    1945 94,090 53,860 57.2 52,820 56.1 8,580 44,240 1,040 1.9 40,230
    1946 103,070 57,520 55.8 55,250 53.6 8,320 46,930 2,270 3.9 45,550
    1947 106,018 60,168 56.8 57,812 54.5 8,256 49,557 2,356 3.9 45,850
    Persons 16
    and over
    1947 101,827 59,350 58.3 57,038 56.0 7,890 49,148 2,311 3.9 42,477
    1948 103,068 60,621 58.8 58,343 56.6 7,629 50,714 2,276 3.8 42,447
    . . .
    1979 164,863 104,962 63.7 98,824 59.9 3,347 95,477 6,137 5.8 59,900
    1980 167,745 106,940 63.8 99,303 59.2 3,364 95,938 7,637 7.1 60,806
    1981 170,130 108,670 63.9 100,397 59.0 3,368 97,030 8,273 7.6 61,460
    1982 172,271 110,204 64.0 99,526 57.8 3,401 96,125 10,678 9.7 62,067
    1983 174,215 111,550 64.0 100,834 57.9 3,383 97,450 10,717 9.6 62,665
    1984 176,383 113,544 64.4 105,005 59.5 3,321 101,685 8,539 7.5 62,839
    1985 178,206 115,461 64.8 107,150 60.1 3,179 103,971 8,312 7.2 62,744
    1986 180,587 117,834 65.3 109,597 60.7 3,163 106,434 8,237 7.0 62,752
    1987 182,753 119,865 65.6 112,440 61.5 3,208 109,232 7,425 6.2 62,888
    . . .
    2006 228,815 151,428 66.2 144,427 63.1 2,206 142,221 7,001 4.6 77,387
    2007 231,867 153,124 66.0 146,047 63.0 2,095 143,952 7,078 4.6 78,743
    2008 233,788 154,287 66.0 145,362 62.2 2,168 143,194 8,924 5.8 79,501
    2009 235,801 154,142 65.4 139,877 59.3 2,103 137,775 14,265 9.3 81,659
    2010 237,830 153,889 64.7 139,064 58.5 2,206 136,858 14,825 9.6 83,941
    2011 239,618 153,617 64.1 139,869 58.4 2,254 137,615 13,747 8.9 86,001
    2012 243,284 154,975 63.7 142,469 58.6 2,186 140,283 12,506 8.1 88,310
    2013 245,679 155,389 63.2 143,929 58.6 2,130 141,799 11,460 7.4 90,290

    NOTE: Revisions to population controls and other changes can affect the comparability of labor force levels over time. In recent years, for example, updated population controls have been introduced annually with the release of January data. Information about historical comparability is online at www.bls.gov/cps/documentation.htm#comp. Number and Real Median Earnings of Total Workers and Full-Time, Year-Round Workers by Sex and Female-to-Male Earnings Ratio: 1960 to 2013

    Table A-4. Number and Real Median Earnings of Total Workers and Full-Time, Year-Round Workers by Sex and Female-to-Male Earnings Ratio: 1960 to 2013 (People 15 years and older beginning in 1980 and people 14 years and older as of the following year for previous years. Before 1989, earnings are for civilian workers only.

    Earnings in 2013 CPI-U-RS adjusted dollars. Beginning with 2010, standard errors were calculated using replicate weights. Before 2010, standard errors were calculated using the generalized variance function. See Appendix C for more information. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see

    Total Workers Full-time, Year- Round Workers
    Male Male Female Female Male Male Female Female
    Number of workers (thousands) Median earnings (dollars) Number of workers (thousands) Median earnings (dollars) Number of workers (thousands) Median earnings (dollars) Number of workers (thousands) Median earnings (dollars)
    Year Total With earn - ings Value Stan - dard error Total With earn - ings Value Stan - dard error Total With earn - ings Value Stan - dard error Total With earn - ings Value Stan - dard error
    20131 83,605 83,555 39,903 437 74,598 74,545 27,736 364 60,781 60,769 50,033 246 45,081 45,068 39,157 363
    2012 83,070 83,003 38,467 420 74,252 74,188 27,273 139 59,028 59,009 50,116 474 44,059 44,042 38,340 366
    2011 81,418 81,366 38,675 172 73,178 73,094 27,499 137 58,014 57,993 49,924 491 43,702 43,683 38,444 160
    20102 80,893 80,856 39,300 170 72,789 72,716 28,316 140 56,294 56,283 51,231 522 43,184 43,179 39,411 156
    20093 81,979 81,934 39,457 128 73,063 72,972 28,269 101 56,072 56,053 51,181 160 43,253 43,217 39,399 114
    2008 84,088 84,039 39,563 116 74,600 74,538 27,751 105 59,875 59,861 50,165 157 44,163 44,156 38,673 115
    2007 84,532 84,482 41,159 119 74,382 74,295 29,073 102 63,000 62,984 50,684 169 45,640 45,613 39,436 115
    . . .
    198711 69,624 69,545 38,875 284 59,557 59,359 20,832 137 47,048 47,013 50,895 212 29,982 29,912 33,172 155
    1986 68,783 68,728 38,087 282 57,932 57,686 20,311 168 45,912 45,912 51,216 219 28,493 28,420 32,916 172
    198512 67,852 67,809 36,706 279 56,592 56,296 19,258 194 44,952 44,943 49,952 291 27,470 27,383 32,257 169
    198413 66,513 66,454 36,358 203 55,596 55,226 18,525 179 43,836 43,808 49,581 254 26,587 26,466 31,562 186
    1983 65,216 65,138 35,726 196 53,413 53,108 18,294 133 41,548 41,528 48,639 222 25,288 25,166 30,931 189
    1982 64,827 64,730 35,631 202 52,299 51,820 17,814 130 40,135 40,105 48,851 206 23,845 23,702 30,163 204
    1981 65,362 65,233 37,014 211 52,504 51,940 17,749 128 41,811 41,773 49,791 174 23,488 23,329 29,494 123
    1980 64,861 64,730 37,712 261 51,988 51,448 17,829 145 41,923 41,881 50,096 253 23,025 22,859 30,138 132
    197914 64,769 63,422 38,720 260 51,462 49,839 17,874 153 42,469 42,437 50,878 200 22,248 22,082 30,355 156
    . . . .

    N Not available.

  • Congress’ Big Spending Bill Covers Bullets, Cow Farts, and Chinese Chickens

    12/13/2014 8:46:32 AM PST · 6 of 22
    WilliamofCarmichael to HomerBohn
    I wished for

    Void the bowels of Washington, D.C. election 2014.

    I thought it worked but now I'm broken hearted looks D.C. only ....

  • Student display about racial injustice approved in Maine

    12/13/2014 8:41:25 AM PST · 5 of 14
    WilliamofCarmichael to rktman
    How about a little concern for all of us?

    Expanded Homicide Data
    Table 6 data for multiple years.

    FBI Homicides Statistics

    Year of
    Stats
    Race of
    Victims

    Total
    White
    Offenders
    Black
    Offenders
    Unknown
    & other
    2012
    White
    3,128
    2,614
    431
    83
    Black
    2,648
    193
    2,412
    43
    2011
    White
    3,172
    2,630
    448
    94
    Black
    2,695
    193
    2,447
    55
    2010
    White
    3,327
    2,777
    447
    103
    Black
    2,720
    218
    2,459
    43
    2009
    White
    3,518
    2,963
    454
    101
    Black
    2,867
    209
    2,604
    54
    2008
    White
    3,643
    3,036
    504
    103
    Black
    3,024
    230
    2,722
    72
    2007
    White
    3,587
    2,918
    566
    103
    Black
    3,221
    245
    2,905
    71
    2006
    White
    3,709
    3,026
    573
    110
    Black
    3,303
    208
    3,034
    61
    2005
    White
    3,785
    3,150
    516
    119
    Black
    3,289
    230
    2,984
    75
    2004
    White
    3,727
    3,123
    522
    85
    Black
    3,067
    228
    2,784
    55
    1995
    White
    4,954
    4,124
    699
    131
    Black
    4,764
    281
    4,422
    61

    I did not find data for the years 1996 through 2003

    www.fbi.gov About Us CJIS UCR Crime in the U.S. Here's the links to most of the FBI tables I referenced above.

    Here's 2012

    Here's 2011

    Here's 2010

    Here's 2009

    • choose Continue to Crime in the United States, 2009
    • choose Homicides
    • choose Expanded Homicide Data Table 6

    Here's 2008

    Here's 2007

    • choose Homicides
    • choose Expanded Homicide Data Tables / Table 5

    Here's 2006

    • choose Expanded Homicide Data
    • choose Expanded Homicide Table 5

    Here's 2005

    • choose Expanded Homicide Data
    • choose Expanded Homicide Data Table 5

    It is long past the time when facts should be made public to expose the lies and misrepresentations of the Obama-Holder demagogues and the race-grievance industry.The Obama-Holder demagogues, the race-grievance industry, and most employees of the MSM have made this a racial issue. So let's see..

    So adding up the blacks killed by whites (Col 1) and whites killed by blacks(col 2). Surprise.

    col 1 Col 2
    193 431
    193 448
    218 447
    209 454
    230 504
    245 566
    208 573
    230 516
    228 522
    281 699
    2235 5160

    Whites outnumber blacks by at least six-to-one BTW. So what does this say about the respective criminal homicide rates in the respective races?

  • Convicted Terrorist Bill Ayers to Iran Media: U.S. a 'Terrorist Nation'

    12/13/2014 8:19:15 AM PST · 14 of 21
    WilliamofCarmichael to rktman
    Justice Department: 'Zip it' on Ayers probe Administration muzzles police officers who want to reopen murder case

    "The Obama Justice Department instructed San Francisco police officials not to comment after top law enforcement officers there signed a letter accusing Weathermen radical Bill Ayers and his wife, Bernardine Dohrn, of being directly behind the 1970 bombing of San Francisco's police station that killed one sergeant and wounded nine others."

    The Ayers have high friends in places.

  • New York police union tells Mayor Blasio he is BANNED from funerals of cops killed on duty ...

    12/13/2014 8:09:40 AM PST · 34 of 47
    WilliamofCarmichael to COUNTrecount
    2011 ANNUAL FIREARMS DISCHARGE REPORT, on page 63

    New York City Police Department

    APPENDIX — HISTORICAL DATA page 63

    [This table] represents officers who were shot by criminal subjects and do not represent accidental shootings, suicides, unauthorized shootings, incidents in which officers were personally involved, crossfire incidents, or mistaken-identity shootings.

    OFFICERS SHOT AND INJURED BY SUBJECTS 1971-2011

    1971 47 1972 40 1973 50 1974 17 1975 16 1976 11 1977 16 1978 11 1979 17 1980 10
    1981 13 1982 26 1983 13 1984 24 1985 10 1986 26 1987 15 1988 21 1989 31 1990 24
    1991 28 1992 29 1993 19 1994 11 1995 15 1996 15 1997 23 1998 10 1999 11 2000 8
    2001 10 2002 7 2003 7 2004 4 2005 7 2006 4 2007 7 2008 3 2009 0 2010 2
    2011 3

    2011 ANNUAL FIREARMS DISCHARGE REPORT, on page 63

    New York City Police Department

    APPENDIX — HISTORICAL DATA page 63

    [This table] represents officers who were shot by criminal subjects and do not represent accidental shootings, suicides, unauthorized shootings, incidents in which officers were personally involved, crossfire incidents, or mistaken-identity shootings.

    OFFICERS SHOT AND KILLED BY SUBJECTS 1971-2011

    1971 12 1972 6 1973 7 1974 4 1975 6 1976 1 1977 4 1978 5 1979 5 1980 10
    1981 4 1982 3 1983 1 1984 4 1985 0 1986 3 1987 2 1988 6 1989 5 1990 0
    1991 2 1992 2 1993 2 1994 2 1995 0 1996 6 1997 4 1998 3 1999 0 2000 0
    2001 0 2002 0 2003 2 2004 2 2005 2 2006 0 2007 3 2008 0 2009 0 2010 0
    2011 1

    From the looks of those numbers it seems to me that "stop and frisk" works.. the thing elected mayor ended "stop and frisk". Now I know why.

  • Marchers to rally in Washington to decry deaths of unarmed black men at the hands of police

    12/13/2014 7:57:52 AM PST · 13 of 18
    WilliamofCarmichael to Citizen Zed
    Law Enforcement Officers Feloniously Killed Race and Sex of Known Offender, 2002–2011. Table 44

    Law Enforcement Officers Feloniously Killed

    Race and Sex of Known Offender, 2002–2011. Table 44.

    Known offender Total 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
    Number of known offenders 595 63 58 61 56 57 66 42 41 74 77
    Race
    White 306 39 31 27 36 25 35 20 24 26 43
    Black 265 24 26 34 20 29 26 21 17 39 29
    Asian/Pacific Islander 8 0 0 0 0 0 4 1 0 2 1
    American Indian/Alaskan Native 7 0 1 0 0 0 0 0 0 4 2
    Not reported 9 0 0 0 0 3 1 0 0 3 2
    Sex
    Male 582 61 57 61 56 56 65 40 39 72 75
    Female 13 2 1 0 0 1 1 2 2 2 2
  • Looking for help in trying to refute the success of 0bama admin

    12/12/2014 10:08:31 PM PST · 42 of 42
    WilliamofCarmichael to WilliamofCarmichael
    I do not know why the formatting got messed up but here's an attempt to find why and to eliminate some unnecessary data. Comparing Reagan to Obama (first six years) vis-a-vis recession recovery and employed -- though this does not show a comparison of full-time jobs.

    Most-Requested CPS Tables. Choose: Employment status of the population, 1940s to date

    HOUSEHOLD DATA
    ANNUAL AVERAGES
    1. Employment status of the civilian noninstitutional population, 1943 to date

    [Numbers in thousands]

    Civilian labor force
    Employed Unemployed
    Year Civilian
    noninstitutional
    population
    Total Percent
    of
    population
    Total Percent
    of
    population
    Agri-
    culture
    Nonagri-
    cultural
    industries
    Number Percent
    of
    labor
    force
    Not
    in
    labor
    force
    Persons 16
    and over
    1947 101,827 59,350 58.3 57,038 56.0 7,890 49,148 2,311 3.9 42,477
    . . .
    1980 167,745 106,940 63.8 99,303 59.2 3,364 95,938 7,637 7.1 60,806
    1981 170,130 108,670 63.9 100,397 59.0 3,368 97,030 8,273 7.6 61,460
    1982 172,271 110,204 64.0 99,526 57.8 3,401 96,125 10,678 9.7 62,067
    1983 174,215 111,550 64.0 100,834 57.9 3,383 97,450 10,717 9.6 62,665
    1984 176,383 113,544 64.4 105,005 59.5 3,321 101,685 8,539 7.5 62,839
    1985 178,206 115,461 64.8 107,150 60.1 3,179 103,971 8,312 7.2 62,744
    1986 180,587 117,834 65.3 109,597 60.7 3,163 106,434 8,237 7.0 62,752
    1987 182,753 119,865 65.6 112,440 61.5 3,208 109,232 7,425 6.2 62,888
    1988 184,613 121,669 65.9 114,968 62.3 3,169 111,800 6,701 5.5 62,944
    1989 186,393 123,869 66.5 117,342 63.0 3,199 114,142 6,528 5.3 62,523
    1990 189,164 125,840 66.5 118,793 62.8 3,223 115,570 7,047 5.6 63,324
    1991 190,925 126,346 66.2 117,718 61.7 3,269 114,449 8,628 6.8 64,578
    1992 192,805 128,105 66.4 118,492 61.5 3,247 115,245 9,613 7.5 64,700
    1993 194,838 129,200 66.3 120,259 61.7 3,115 117,144 8,940 6.9 65,638
    1994 196,814 131,056 66.6 123,060 62.5 3,409 119,651 7,996 6.1 65,758
    1995 198,584 132,304 66.6 124,900 62.9 3,440 121,460 7,404 5.6 66,280
    1996 200,591 133,943 66.8 126,708 63.2 3,443 123,264 7,236 5.4 66,647
    1997 203,133 136,297 67.1 129,558 63.8 3,399 126,159 6,739 4.9 66,837
    1998 205,220 137,673 67.1 131,463 64.1 3,378 128,085 6,210 4.5 67,547
    1999 207,753 139,368 67.1 133,488 64.3 3,281 130,207 5,880 4.2 68,385
    2000 212,577 142,583 67.1 136,891 64.4 2,464 134,427 5,692 4.0 69,994
    2001 215,092 143,734 66.8 136,933 63.7 2,299 134,635 6,801 4.7 71,359
    2002 217,570 144,863 66.6 136,485 62.7 2,311 134,174 8,378 5.8 72,707
    2003 221,168 146,510 66.2 137,736 62.3 2,275 135,461 8,774 6.0 74,658
    2004 223,357 147,401 66.0 139,252 62.3 2,232 137,020 8,149 5.5 75,956
    2005 226,082 149,320 66.0 141,730 62.7 2,197 139,532 7,591 5.1 76,762
    2006 228,815 151,428 66.2 144,427 63.1 2,206 142,221 7,001 4.6 77,387
    2007 231,867 153,124 66.0 146,047 63.0 2,095 143,952 7,078 4.6 78,743
    2008 233,788 154,287 66.0 145,362 62.2 2,168 143,194 8,924 5.8 79,501
    2009 235,801 154,142 65.4 139,877 59.3 2,103 137,775 14,265 9.3 81,659
    2010 237,830 153,889 64.7 139,064 58.5 2,206 136,858 14,825 9.6 83,941
    2011 239,618 153,617 64.1 139,869 58.4 2,254 137,615 13,747 8.9 86,001
    2012 243,284 154,975 63.7 142,469 58.6 2,186 140,283 12,506 8.1 88,310
    2013 245,679 155,389 63.2 143,929 58.6 2,130 141,799 11,460 7.4 90,290

    NOTE: Revisions to population controls and other changes can affect the comparability of labor force levels over time. In recent years, for example, updated population controls have been introduced annually with the release of January data. Information about historical comparability is online at www.bls.gov/cps/documentation.htm#comp.

  • Looking for help in trying to refute the success of 0bama admin

    12/10/2014 4:25:58 PM PST · 41 of 42
    WilliamofCarmichael to Bon mots

    Thanks for the links. I too prefer to avoid partisan propaganda — but with this administration I salute the government employees who struggle to keep it non partisan.

  • Looking for help in trying to refute the success of 0bama admin

    12/10/2014 4:20:39 PM PST · 40 of 42
    WilliamofCarmichael to killermosquito
    You have some excellent responses and probably have all you need by now; but I was happy to find an excuse to find a couple more tables to add to my collection. These could also help prove some of what you are looking for.

    Notice how the Obama years finally got back up to pre-'bama years' total employed around May of 2014.. six years in the making; to wit, Jan 2008 (138,365,000) and May 2014 (138,497,000). But there are still problems for Obama. How much did the working-age population grow in those six years? How many full-time jobs were there?

    The additions to the working age population got jobs?

    The labor force participation has shrunk and that is the only reason that the unemployment rate decreased. Even the MSM employees have had to admit that.

    The Reagan years were more typical of the business cycles that I remember from post W.W.II years. There were 99,303,000 employed in 1980. Off to a slow start it was 1984 before there was a significant increase (to 105,005,000). But six years of Reagan (Jan, 1981 - Dec, 1986) employed went from under 100,000,000 to 109,597,000 employed. IOW the unemployed went back to work and the increased working-age population found jobs. Not so with Obama. Ii appears to me. The labor force participation was higher also.

    make selection

    Select: Total nonfarm, Seasonally adjusted; scroll down to Retrieve Data button

    Total nonfarm 2004 - 2014

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual
    2004 130747 130791 131123 131372 131679 131753 131785 131917 132079 132425 132490 132619
    2005 132753 132992 133126 133489 133664 133909 134282 134478 134545 134629 134966 135125
    2006 135402 135717 135997 136179 136202 136279 136486 136670 136827 136829 137039 137210
    2007 137448 137536 137724 137802 137946 138017 137984 137968 138053 138135 138253 138350
    2008 138365 138279 138199 137985 137803 137631 137421 137162 136710 136236 135471 134774
    2009 133976 133275 132449 131765 131411 130944 130617 130401 130174 129976 129970 129687
    2010 129705 129655 129811 130062 130578 130456 130395 130353 130296 130537 130674 130745
    2011 130815 130983 131195 131517 131619 131836 131942 132064 132285 132468 132632 132828
    2012 133188 133414 133657 133753 133863 133951 134111 134261 134422 134647 134850 135064
    2013 135261 135541 135682 135885 136084 136285 136434 136636 136800 137037 137311 137395
    2014 137539 137761 137964 138268 138497 138764 139007 139210 139481 139724 140045


    Most-Requested CPS Tables. Choose: Employment status of the population, 1940s to date

    You may have to search for "Most-Requested CPS Tables" then select Employment status of the population, 1940s to date

    HOUSEHOLD DATA
    ANNUAL AVERAGES
    1. Employment status of the civilian noninstitutional population, 1943 to date


    [Numbers in thousands]

    Civilian labor force
    Employed Unemployed
    Year Civilian
    noninstitutional
    population
    Total Percent
    of
    population
    Total Percent
    of
    population
    Agri-
    culture
    Nonagri-
    cultural
    industries
    Number Percent
    of
    labor
    force
    Not
    in
    labor
    force
    Persons 14 years
    of age and over
    1943 94,640 55,540 58.7 54,470 57.6 9,080 45,390 1,070 1.9 39,100
    1944
    93,220 54,630 58.6 53,960 57.9 8,950 45,010 670 1.2 38,590
    1945 94,090 53,860 57.2 52,820 56.1 8,580 44,240 1,040 1.9 40,230
    1946 103,070 57,520 55.8 55,250 53.6 8,320 46,930 2,270 3.9 45,550
    1947 106,018 60,168 56.8 57,812 54.5 8,256 49,557 2,356 3.9 45,850
    Persons 16 years
    of age and over
    1947 101,827 59,350 58.3 57,038 56.0 7,890 49,148 2,311 3.9 42,477
    1948 103,068 60,621 58.8 58,343 56.6 7,629 50,714 2,276 3.8 42,447
    1949 103,994 61,286 58.9 57,651 55.4 7,658 49,993 3,637 5.9 42,708
    1950 104,995 62,208 59.2 58,918 56.1 7,160 51,758 3,288 5.3 42,787
    1951 104,621 62,017 59.2 59,961 57.3 6,726 53,235 2,055 3.3 42,604
    1952 105,231 62,138 59.0 60,250 57.3 6,500 53,749 1,883 3.0 43,093
    1953 107,056 63,015 58.9 61,179 57.1 6,260 54,919 1,834 2.9 44,041
    1954 108,321 63,643 58.8 60,109 55.5 6,205 53,904 3,532 5.5 44,678
    1955 109,683 65,023 59.3 62,170 56.7 6,450 55,722 2,852 4.4 44,660
    1956 110,954 66,552 60.0 63,799 57.5 6,283 57,514 2,750 4.1 44,402
    1957 112,265 66,929 59.6 64,071 57.1 5,947 58,123 2,859 4.3 45,336
    1958 113,727 67,639 59.5 63,036 55.4 5,586 57,450 4,602 6.8 46,088
    1959 115,329 68,369 59.3 64,630 56.0 5,565 59,065 3,740 5.5 46,960
    1960 117,245 69,628 59.4 65,778 56.1 5,458 60,318 3,852 5.5 47,617
    1961 118,771 70,459 59.3 65,746 55.4 5,200 60,546 4,714 6.7 48,312
    1962 120,153 70,614 58.8 66,702 55.5 4,944 61,759 3,911 5.5 49,539
    1963 122,416 71,833 58.7 67,762 55.4 4,687 63,076 4,070 5.7 50,583
    1964 124,485 73,091 58.7 69,305 55.7 4,523 64,782 3,786 5.2 51,394
    1965 126,513 74,455 58.9 71,088 56.2 4,361 66,726 3,366 4.5 52,058
    1966 128,058 75,770 59.2 72,895 56.9 3,979 68,915 2,875 3.8 52,288
    1967 129,874 77,347 59.6 74,372 57.3 3,844 70,527 2,975 3.8 52,527
    1968 132,028 78,737 59.6 75,920 57.5 3,817 72,103 2,817 3.6 53,291
    1969 134,335 80,734 60.1 77,902 58.0 3,606 74,296 2,832 3.5 53,602
    1970 137,085 82,771 60.4 78,678 57.4 3,463 75,215 4,093 4.9 54,315
    1971 140,216 84,382 60.2 79,367 56.6 3,394 75,972 5,016 5.9 55,834
    1972 144,126 87,034 60.4 82,153 57.0 3,484 78,669 4,882 5.6 57,091
    1973 147,096 89,429 60.8 85,064 57.8 3,470 81,594 4,365 4.9 57,667
    1974 150,120 91,949 61.3 86,794 57.8 3,515 83,279 5,156 5.6 58,171
    1975 153,153 93,775 61.2 85,846 56.1 3,408 82,438 7,929 8.5 59,377
    1976 156,150 96,158 61.6 88,752 56.8 3,331 85,421 7,406 7.7 59,991
    1977 159,033 99,009 62.3 92,017 57.9 3,283 88,734 6,991 7.1 60,025
    1978 161,910 102,251 63.2 96,048 59.3 3,387 92,661 6,202 6.1 59,659
    1979 164,863 104,962 63.7 98,824 59.9 3,347 95,477 6,137 5.8 59,900
    1980 167,745 106,940 63.8 99,303 59.2 3,364 95,938 7,637 7.1 60,806
    1981 170,130 108,670 63.9 100,397 59.0 3,368 97,030 8,273 7.6 61,460
    1982 172,271 110,204 64.0 99,526 57.8 3,401 96,125 10,678 9.7 62,067
    1983 174,215 111,550 64.0 100,834 57.9 3,383 97,450 10,717 9.6 62,665
    1984 176,383 113,544 64.4 105,005 59.5 3,321 101,685 8,539 7.5 62,839
    1985 178,206 115,461 64.8 107,150 60.1 3,179 103,971 8,312 7.2 62,744
    1986 180,587 117,834 65.3 109,597 60.7 3,163 106,434 8,237 7.0 62,752
    1987 182,753 119,865 65.6 112,440 61.5 3,208 109,232 7,425 6.2 62,888
    1988 184,613 121,669 65.9 114,968 62.3 3,169 111,800 6,701 5.5 62,944
    1989 186,393 123,869 66.5 117,342 63.0 3,199 114,142 6,528 5.3 62,523
    1990 189,164 125,840 66.5 118,793 62.8 3,223 115,570 7,047 5.6 63,324
    1991 190,925 126,346 66.2 117,718 61.7 3,269 114,449 8,628 6.8 64,578
    1992 192,805 128,105 66.4 118,492 61.5 3,247 115,245 9,613 7.5 64,700
    1993 194,838 129,200 66.3 120,259 61.7 3,115 117,144 8,940 6.9 65,638
    1994 196,814 131,056 66.6 123,060 62.5 3,409 119,651 7,996 6.1 65,758
    1995 198,584 132,304 66.6 124,900 62.9 3,440 121,460 7,404 5.6 66,280
    1996 200,591 133,943 66.8 126,708 63.2 3,443 123,264 7,236 5.4 66,647
    1997 203,133 136,297 67.1 129,558 63.8 3,399 126,159 6,739 4.9 66,837
    1998 205,220 137,673 67.1 131,463 64.1 3,378 128,085 6,210 4.5 67,547
    1999 207,753 139,368 67.1 133,488 64.3 3,281 130,207 5,880 4.2 68,385
    2000 212,577 142,583 67.1 136,891 64.4 2,464 134,427 5,692 4.0 69,994
    2001 215,092 143,734 66.8 136,933 63.7 2,299 134,635 6,801 4.7 71,359
    2002 217,570 144,863 66.6 136,485 62.7 2,311 134,174 8,378 5.8 72,707
    2003 221,168 146,510 66.2 137,736 62.3 2,275 135,461 8,774 6.0 74,658
    2004 223,357 147,401 66.0 139,252 62.3 2,232 137,020 8,149 5.5 75,956
    2005 226,082 149,320 66.0 141,730 62.7 2,197 139,532 7,591 5.1 76,762
    2006 228,815 151,428 66.2 144,427 63.1 2,206 142,221 7,001 4.6 77,387
    2007 231,867 153,124 66.0 146,047 63.0 2,095 143,952 7,078 4.6 78,743
    2008 233,788 154,287 66.0 145,362 62.2 2,168 143,194 8,924 5.8 79,501
    2009 235,801 154,142 65.4 139,877 59.3 2,103 137,775 14,265 9.3 81,659
    2010 237,830 153,889 64.7 139,064 58.5 2,206 136,858 14,825 9.6 83,941
    2011 239,618 153,617 64.1 139,869 58.4 2,254 137,615 13,747 8.9 86,001
    2012 243,284 154,975 63.7 142,469 58.6 2,186 140,283 12,506 8.1 88,310
    2013 245,679 155,389 63.2 143,929 58.6 2,130 141,799 11,460 7.4 90,290

    NOTE: Revisions to population controls and other changes can affect the comparability of labor force levels over time. In recent years, for example, updated population controls have been introduced annually with the release of January data. Information about historical comparability is online at www.bls.gov/cps/documentation.htm#comp.

  • Looking for help in trying to refute the success of 0bama admin

    12/10/2014 4:08:31 PM PST · 39 of 42
    WilliamofCarmichael to garjog
    RE: Enjoy: http://obamaclarifier.blogspot.com

    Very impressive. Great job. Thanks.

  • Looking for help in trying to refute the success of 0bama admin

    12/09/2014 9:32:18 PM PST · 10 of 42
    WilliamofCarmichael to killermosquito
    !) Check the labor force participation rate.. it's the lowest in decades. That is why the unemployment rate is phony.

    2) Related.. check to see how many fewer jobs there are today than 10 years ago.. lot's of part-time, temporary jobs and some full-time career jobs created today but not enough for a full a recovery.

    3) The 2009 budget included that trillion dollar stimulus.

    I do not have time tonight to check my suggestions I'll check back tomorrow.

    others

    4) stock market -- the Fed was pumping something like 85-billions dollar a week(month?) into Wall Street and to cover U.S. debt

    (5) Oil production increased IN SPITE of Obama!

  • SomebodyIs Manipulatingthe Numbers:In The Realm Of Economics A Change Of This Magnitude Is A Collaps

    12/09/2014 9:16:24 PM PST · 13 of 38
    WilliamofCarmichael to Kartographer
    As for the unemployment rate -- if they ain't participating in the labor force they ain't included in the unemployed rate computation. And the participation rate is expect to continue its downward slide except for a very few.

    Civilian labor force participation rates by age, sex, race, and ethnicity

    See brief discription here

    Table 3. Civilian labor force participation rates by age, sex, race, and ethnicity, 1992, 2002, 2012, and projected 2022 (In percent)

    Partici pation rate Percent change Annual growth rate
    Group 1992 2002 2012 2022 1992-2002 2002-2012 2012-2022 1992-2002 2002-2012 2012-2022
    Total, 16 years
    and older
    66.4 66.6 63.7 61.6 0.2 -2.9 -2.1 0.0 -0.4 -0.3
    16 to 24 66.1 63.3 54.9 49.6 -2.9 -8.4 -5.3 -0.4 -1.4 -1.0
    16 to 19 51.3 47.4 34.3 27.3 -3.8 -13.1 -7.0 -0.8 -3.2 -2.3
    20 to 24 77.1 76.4 70.9 67.3 -0.7 -5.5 -3.6 -0.1 -0.7 -0.5
    25 to 54 83.6 83.3 81.4 81.0 -0.3 -1.9 -0.4 0.0 -0.2 -0.1
    25 to 34 83.7 83.7 81.7 81.1 0.0 -2.0 -0.6 0.0 -0.2 -0.1
    35 to 44 85.1 84.1 82.6 81.8 -0.9 -1.5 -0.8 -0.1 -0.2 -0.1
    45 to 54 81.5 82.1 80.2 79.9 0.6 -1.9 -0.3 0.1 -0.2 0.0
    55 and older 29.7 34.5 40.5 41.5 4.9 6.0 1.0 1.5 1.6 0.3
    55 to 64 56.2 61.9 64.5 67.5 5.7 2.6 3.0 1.0 0.4 0.5
    55 to 59 67.4 70.7 72.5 75.5 3.2 1.8 3.0 0.5 0.3 0.4
    60 to 64 45.0 50.5 55.2 59.8 5.5 4.7 4.6 1.2 0.9 0.8
    60 to 61 56.0 59.7 63.8 68.4 3.7 4.1 4.6 0.6 0.7 0.7
    62 to 64 37.7 43.7 49.1 53.8 5.9 5.4 4.7 1.5 1.2 0.9
    65 and older 11.5 13.2 18.5 23.0 1.7 5.3 4.5 1.4 3.4 2.2
    65 to 74 16.3 20.4 26.8 31.9 4.1 6.5 5.1 2.3 2.8 1.7
    65 to 69 20.6 26.1 32.1 38.3 5.4 6.0 6.2 2.4 2.1 1.8
    70 to 74 11.1 14.0 19.5 24.0 2.9 5.5 4.5 2.3 3.4 2.1
    75 to 79 6.3 7.4 11.4 14.9 1.1 4.0 3.5 1.7 4.4 2.7
    75 and older 4.5 5.1 7.6 10.5 0.6 2.5 2.9 1.3 4.1 3.3
    Men, 16 years
    and older
    75.8 74.1 70.2 67.6 -1.7 -3.9 -2.6 -0.2 -0.5 -0.4
    16 to 24 70.5 65.5 56.5 51.1 -5.0 -9.0 -5.4 -0.7 -1.5 -1.0
    16 to 19 53.4 47.5 34.0 27.8 -5.9 -13.5 -6.2 -1.2 -3.3 -2.0
    20 to 24 83.3 80.7 74.5 69.9 -2.6 -6.2 -4.6 -0.3 -0.8 -0.6
    25 to 54 93.0 91.0 88.7 88.2 -1.9 -2.3 -0.5 -0.2 -0.3 -0.1
    25 to 34 93.8 92.4 89.5 88.8 -1.3 -2.9 -0.7 -0.1 -0.3 -0.1
    35 to 44 93.7 92.1 90.7 90.4 -1.6 -1.4 -0.3 -0.2 -0.2 0.0
    45 to 54 90.7 88.5 86.1 85.1 -2.3 -2.4 -1.0 -0.3 -0.3 -0.1
    55 and older 38.4 42.0 46.8 46.2 3.6 4.8 -0.6 0.9 1.1 -0.1
    55 to 64 67.0 69.2 69.9 71.0 2.2 0.7 1.1 0.3 0.1 0.2
    55 to 59 79.0 78.0 78.0 77.8 -1.0 0.0 -0.2 -0.1 0.0 0.0
    60 to 64 54.7 57.6 60.5 64.3 2.9 2.9 3.8 0.5 0.5 0.6
    60 to 61 67.2 67.3 68.8 69.7 0.1 1.5 0.9 0.0 0.2 0.1
    62 to 64 46.2 50.4 54.6 60.5 4.2 4.2 5.9 0.9 0.8 1.0
    65 and older 16.1 17.9 23.6 27.2 1.8 5.7 3.6 1.1 2.8 1.4
    65 to 74 21.1 25.5 31.8 35.9 4.4 6.3 4.1 1.9 2.2 1.2
    65 to 69 26.0 32.2 37.1 41.6 6.3 4.9 4.5 2.2 1.4 1.2
    70 to 74 15.0 17.6 24.2 28.8 2.6 6.6 4.6 1.6 3.2 1.8
    75 to 79 9.0 10.2 15.9 19.0 1.2 5.7 3.1 1.2 4.6 1.8
    75 and older 7.3 7.6 11.3 13.9 0.4 3.7 2.6 0.5 4.0 2.1
    Women, 16 years
    and older
    57.8 59.6 57.7 56.0 1.8 -1.9 -1.7 0.3 -0.3 -0.3
    16 to 24 61.8 61.1 53.2 48.1 -0.7 -7.9 -5.1 -0.1 -1.4 -1.0
    16 to 19 49.1 47.3 34.6 26.7 -1.7 -12.7 -7.9 -0.4 -3.1 -2.6
    20 to 24 70.9 72.1 67.4 64.7 1.2 -4.7 -2.7 0.2 -0.7 -0.4
    25 to 54 74.6 75.9 74.5 73.8 1.3 -1.4 -0.7 0.2 -0.2 -0.1
    25 to 34 73.9 75.1 74.1 73.4 1.2 -1.0 -0.7 0.2 -0.1 -0.1
    35 to 44 76.7 76.4 74.8 73.3 -0.3 -1.6 -1.5 0.0 -0.2 -0.2
    45 to 54 72.6 76.0 74.7 74.9 3.4 -1.3 0.2 0.5 -0.2 0.0
    55 and older 22.8 28.5 35.1 37.5 5.7 6.6 2.4 2.3 2.1 0.7
    55 to 64 46.5 55.2 59.4 64.3 8.7 4.2 4.9 1.7 0.7 0.8
    55 to 59 56.8 63.8 67.3 73.3 7.0 3.5 6.0 1.2 0.5 0.9
    60 to 64 36.4 44.1 50.4 55.6 7.7 6.3 5.2 1.9 1.4 1.0
    60 to 61 45.7 52.8 59.2 67.2 7.1 6.4 8.0 1.5 1.1 1.3
    62 to 64 30.5 37.6 44.1 47.7 7.2 6.5 3.6 2.1 1.6 0.8
    65 and older 8.3 9.8 14.4 19.5 1.6 4.6 5.1 1.7 3.9 3.1
    65 to 74 12.5 16.1 22.5 28.3 3.7 6.4 5.8 2.6 3.4 2.3
    65 to 69 16.2 20.7 27.6 35.4 4.5 6.9 7.8 2.5 2.9 2.5
    70 to 74 8.2 11.1 15.4 19.8 3.0 4.3 4.4 3.2 3.3 2.5
    75 to 79 4.4 5.4 7.9 11.6 1.0 2.5 3.7 2.1 3.9 3.9
    75 and older 2.8 3.5 5.0 8.0 0.7 1.5 3.0 2.3 3.7 4.8

    Race:

    White 66.8 66.8 64.0 61.7 0.0 -2.8 -2.3 0.0 -0.4 -0.4
    Men 76.5 74.8 71.0 68.3 -1.7 -3.8 -2.7 -0.2 -0.5 -0.4
    Women 57.7 59.3 57.4 55.3 1.6 -1.9 -2.1 0.3 -0.3 -0.4
    Black 63.9 64.8 61.5 59.8 0.9 -3.3 -1.7 0.1 -0.5 -0.3
    Men 70.7 68.4 63.6 61.7 -2.3 -4.8 -1.9 -0.3 -0.7 -0.3
    Women 58.5 61.8 59.8 58.3 3.3 -2.0 -1.5 0.6 -0.3 -0.3
    Asian 66.5 67.2 63.9 63.2 0.7 -3.3 -0.7 0.1 -0.5 -0.1
    Men 75.2 75.9 72.2 71.4 0.7 -3.7 -0.8 0.1 -0.5 -0.1
    Women 58.2 59.1 56.5 56.1 0.9 -2.6 -0.4 0.2 -0.4 -0.1

    All other
    groups1

    - - 63.9 63.2 - - -0.7 - - -
    Men - - 69.4 63.8 - - -5.6 - - -
    Women - - 58.8 62.6 - - 3.8 - - -

    Ethnicity:

    Hispanic origin 66.8 69.1 66.4 65.9 2.3 -2.7 -0.5 0.3 -0.4 -0.1
    Men 80.7 80.3 76.1 74.8 -0.4 -4.2 -1.3 0.0 -0.5 -0.2
    Women 52.8 57.6 56.6 56.8 4.8 -1.0 0.2 0.9 -0.2 0.0
    Other than Hispanic
    origin
    66.4 66.2 63.2 60.7 -0.2 -3.0 -2.5 0.0 -0.5 -0.4
    Men 75.3 73.2 69.1 65.9 -2.1 -4.2 -3.2 -0.3 -0.6 -0.5
    Women 58.3 59.9 57.9 55.9 1.6 -2.0 -2.0 0.3 -0.3 -0.4
    White non-Hispanic 66.7 66.5 63.5 60.8 -0.2 -3.0 -2.7 0.0 -0.5 -0.4
    Men 76.0 73.8 69.9 67.0 -2.2 -3.9 -2.9 -0.3 -0.5 -0.4
    Women 58.1 59.6 57.6 54.9 1.5 -2.0 -2.7 0.3 -0.3 -0.5

    Footnotes:
    1 The “all other groups" category includes (1) those classified as being of multiple racial origin and (2) the race categories of (2a) American Indian and Alaska Native or (2b) Native Hawaiian and Other Pacific Islanders.

    Note: Dash indicates no data collected for category. Details may not sum to totals because of rounding.

    Source: Employment Projections program, U.S. Department of Labor, U.S. Bureau of Labor Statistics

  • The Raging Fire of Racial Injustice

    12/09/2014 8:58:26 PM PST · 10 of 23
    WilliamofCarmichael to 2ndDivisionVet
    Tell whoever typed in those words not to worry. Whites are being murdered by blacks at a rate of more than two-to-one -- it'll take a few decades but soon he'll have his perfect America. An America completely rid of whites -- er.. except the one who typed in those words if he's white of course.

    Expanded Homicide Data
    Table 6 data for multiple years.

    FBI Homicides Statistics

    Year of
    Stats
    Race of
    Victims

    Total
    White
    Offenders
    Black
    Offenders
    Unknown
    & other
    2012
    White
    3,128
    2,614
    431
    83
    Black
    2,648
    193
    2,412
    43
    2011
    White
    3,172
    2,630
    448
    94
    Black
    2,695
    193
    2,447
    55
    2010
    White
    3,327
    2,777
    447
    103
    Black
    2,720
    218
    2,459
    43
    2009
    White
    3,518
    2,963
    454
    101
    Black
    2,867
    209
    2,604
    54
    2008
    White
    3,643
    3,036
    504
    103
    Black
    3,024
    230
    2,722
    72
    2007
    White
    3,587
    2,918
    566
    103
    Black
    3,221
    245
    2,905
    71
    2006
    White
    3,709
    3,026
    573
    110
    Black
    3,303
    208
    3,034
    61
    2005
    White
    3,785
    3,150
    516
    119
    Black
    3,289
    230
    2,984
    75
    2004
    White
    3,727
    3,123
    522
    85
    Black
    3,067
    228
    2,784
    55
    1995
    White
    4,954
    4,124
    699
    131
    Black
    4,764
    281
    4,422
    61

    I did not find data for the years 1996 through 2003

    www.fbi.gov About Us CJIS UCR Crime in the U.S. Here's the links to most of the FBI tables I referenced above.

    Here's 2012

    Here's 2011

    Here's 2010

    Here's 2009

    • choose Continue to Crime in the United States, 2009
    • choose Homicides
    • choose Expanded Homicide Data Table 6

    Here's 2008

    Here's 2007

    • choose Homicides
    • choose Expanded Homicide Data Tables / Table 5

    Here's 2006

    • choose Expanded Homicide Data
    • choose Expanded Homicide Table 5

    Here's 2005

    • choose Expanded Homicide Data
    • choose Expanded Homicide Data Table 5

    It is long past the time when facts should be made public to expose the lies and misrepresentations of the Obama-Holder demagogues and the race-grievance industry.The Obama-Holder demagogues, the race-grievance industry, and most employees of the MSM have made this a racial issue. So let's see..

    So adding up the blacks killed by whites (Col 1) and whites killed by blacks(col 2). Surprise.

    col 1 Col 2
    193 431
    193 448
    218 447
    209 454
    230 504
    245 566
    208 573
    230 516
    228 522
    281 699
    2235 5160

    Whites outnumber blacks by at least six-to-one BTW.

  • The Savage Nation - DECEMBER 2014 - 3 TO 6pm ET

    12/09/2014 7:59:39 PM PST · 26 of 50
    WilliamofCarmichael to dynachrome
    I'm retired and have 24/7. For awhile I listened to Savage over the Internet in the old slot (6:00PM Pacific).

    Recently Savage home station KSFO signed on to Limbaugh, Hannity, and Beck. Hannity and Beck delayed. Levin was already there live.

    So I'm listening live (the portion that's live) Savage.. but if I have other things to do I don't bother to catch it later on the Internet. If he starts complaining that everyone is picking on him I find something else to do. :)

  • Holder Blindfolds Cops With 'Anti-Profiling' Guidelines

    12/09/2014 7:34:30 PM PST · 38 of 40
    WilliamofCarmichael to jazusamo
    Eliminate "profiling?" (Hands off, don't look.)

    IMO "profiling" works.

    Rudolph W. Giuliani mayor of NYC Jan. 1,1994 through Dec. 31, 2001 8 years

    Insituted stop and frisk. Seems to me that it worked.

    I think it was just eliminated by what's his name. Now will gun violence go back up?

    2011 ANNUAL FIREARMS DISCHARGE REPORT, on page 63

    New York City Police Department

    APPENDIX — HISTORICAL DATA page 63

    [This table] represents officers who were shot by criminal subjects and do not represent accidental shootings, suicides, unauthorized shootings, incidents in which officers were personally involved, crossfire incidents, or mistaken-identity shootings.

    OFFICERS SHOT AND INJURED BY SUBJECTS 1971-2011

    1971 47 1972 40 1973 50 1974 17 1975 16 1976 11 1977 16 1978 11 1979 17 1980 10
    1981 13 1982 26 1983 13 1984 24 1985 10 1986 26 1987 15 1988 21 1989 31 1990 24
    1991 28 1992 29 1993 19 1994 11 1995 15 1996 15 1997 23 1998 10 1999 11 2000 8
    2001 10 2002 7 2003 7 2004 4 2005 7 2006 4 2007 7 2008 3 2009 0 2010 2
    2011 3
  • Mark Levin Show,M-F,6PM-9PM,EST,WABC AM,December 9,2014

    12/09/2014 5:20:26 PM PST · 20 of 27
    WilliamofCarmichael to Biggirl
    Eliminate "profiling?" (Hands off, don't look.)

    Rudolph W. Giuliani Jan. 1,1994 through Dec. 31, 2001 8 years

    Insituted stop and frisk. Seems to me that it worked.

    I think it was just eliminated by what's his name. Now will gun violence go back up?

    2011 ANNUAL FIREARMS DISCHARGE REPORT, on page 63

    New York City Police Department

    APPENDIX — HISTORICAL DATA page 63

    [This table] represents officers who were shot by criminal subjects and do not represent accidental shootings, suicides, unauthorized shootings, incidents in which officers were personally involved, crossfire incidents, or mistaken-identity shootings.

    OFFICERS SHOT AND INJURED BY SUBJECTS 1971-2011

    1971 47 1972 40 1973 50 1974 17 1975 16 1976 11 1977 16 1978 11 1979 17 1980 10
    1981 13 1982 26 1983 13 1984 24 1985 10 1986 26 1987 15 1988 21 1989 31 1990 24
    1991 28 1992 29 1993 19 1994 11 1995 15 1996 15 1997 23 1998 10 1999 11 2000 8
    2001 10 2002 7 2003 7 2004 4 2005 7 2006 4 2007 7 2008 3 2009 0 2010 2
    2011 3
  • The Savage Nation - DECEMBER 2014 - 3 TO 6pm ET

    12/09/2014 12:37:22 PM PST · 24 of 50
    WilliamofCarmichael to MikeFrancesa.com
    Personally I still listen to Dr. Savage regularly and greatly appreciate his efforts vis-a-vis the domestic and foreign threats against our Republic. No one does more to expose the Islamists than Savage. Levin IMO is better at exposing the domestic threats.

    I stopped posting because I found myself posting criticism like the one I am compelled to post now; to wit, he still names (just again yesterday IIRC) the Better Business Bureau after all these weeks.. no, Dr. Savage, it is the Chamber of Commerce.

    And he was correct about Feinstein and the Senate hearings on Ruby Ridge.. he was wrong about the FBI sniper shooting the son. The FBI sniper shot the wife.

    The son was shot by federal marshals a few days before. In fact IIRC the son's body remained on the property for days until the Weavers could arrange to safely retrieve the body.

    Mrs. Weaver was gunned-down by the FBI sniper. The FBI sniper claimed that he was aiming for a male adult Weaver visitor running to get back through the front door. Mrs. Weaver was standing near the door holding a baby.

    IIRC there was information that the FBI (this all occurred under George H.W. Bush not Clinton, Dr. Savage) believed that Mrs. Weaver was in fact the one preventing a peaceful solution; that led many of us to believe that in fact the FBI wanted to kill her.

  • Rush Limbaugh Show,M-F,12NOONPM-3PM,EST,WOR AM,December 9,2014

    12/09/2014 9:49:04 AM PST · 32 of 94
    WilliamofCarmichael to All

    Feinstein and her manipulation of government contracts for personal gain are skid marks on Uncle Sam’s shorts.

  • Rush Limbaugh Show,M-F,12NOONPM-3PM,EST,WOR AM,December 9,2014

    12/09/2014 9:40:27 AM PST · 27 of 94
    WilliamofCarmichael to Biggirl
    Finestein.. I wonder if a Senator using influence to milk military budgets for personal gain, especially in time of war, is as bad as water boarding?

    Just wondering.

  • President Obama Says Eric Garner, Ferguson Protests ‘Necessary’ (You read that right)

    12/08/2014 9:10:51 PM PST · 32 of 37
    WilliamofCarmichael to 2ndDivisionVet
    Some facts from the NYPD..

    One of the tables may be too wide. 2011 ANNUAL FIREARMS DISCHARGE REPORT, on page 76

    New York City Police Department

    Subjects Shot by Police by Race/Ethnicity, Tables, 2000 – 2011

    2000 2001 2002
    WOUNDED KILLED WOUNDED KILLED WOUNDED KILLED
    WHITE 0 6 2 0 0 0
    BLACK 15 6 11 9 20 7
    HISPANIC 4 2 4 2 4 6
    ASIAN 1 0 0 0 0 0
    TOTAL 20 14 17 11 24 13
    2003 2004 2005
    WOUNDED KILLED WOUNDED KILLED WOUNDED KILLED
    WHITE 1 1 1 1 4 0
    BLACK 12 13 15 6 21 7
    HISPANIC 10 0 7 4 3 2
    ASIAN 1 0 0 0 1 0
    TOTAL 24 14 23 11 29 9
    2006 2007 2008
    WOUNDED KILLED WOUNDED KILLED WOUNDED KILLED
    WHITE 1 1 0 2 0 2
    BLACK 16 9 9 5 12 7
    HISPANIC 6 3 9 3 6 4
    ASIAN 0 0 1 0 0 0
    TOTAL 23 13 19 10 18 13
    2009 2010 2011
    WOUNDED KILLED WOUNDED KILLED WOUNDED KILLED
    WHITE 0 0 3 2 2 4
    BLACK 14 8 9 1 10 2
    HISPANIC 6 4 3 4 7 3
    ASIAN 0 0 1 1 0 0
    TOTAL 20 12 16 8 19 9
    2011 ANNUAL FIREARMS DISCHARGE REPORT, on page 81

    New York City Police Department

    ADVERSARIAL CONFLICT RESULTING IN A SUBJECT’S DEMISE

    In 2011, nine subjects were shot and killed by officers who intentionally discharged their weapons during adversarial conflict. The very essence of police work is the desire to protect life. Because of this, taking a life in order to protect anoter is a terrible contradiction, and no officer relishes the prospect of encounters such as these. When facing armed, violent suspects, however, these events are a possibility for which officers must be prepared. The tactics used in these confrontations can be analyzed and assessed in order to develop training that can provide officers with more use-of-force options or conflict-resolution opportunities so that, in the future, similar events may have different outcomes. A short narrative of each incident is found below [see page 71 in the report]. It is worthy of note that seven of the nine subjects had prior arrest histories; Five toxicology reports were available at the time of publication and show that four were intoxicated and/or had controlled substances in their systems when these incidents occurred.

    I believe the following table lists those nine homicides and more.

    APPENDIX — SUPPLEMENTAL DATA, pages 81 - 82

    ID-AC TYPE OF THREAT FROM SUBJECTS FIRED UPON OFFICERS INVOLVED SHOTS INJURY FATALITY # SUBJECTS FIRED UPON SUBJECT GENDER SUBJECT RACE SUBJECT AGE SUBJECT WEAPON
    1 BLUNT INSTRUMENT - VEHICLE 1 4 INJURY 1 male white 24 VEHICLE
    2 FIREARM - SUBJECT FIRED AT OFFICER 1 2 1 male black 23 FIREARM
    3 FIREARM - SUBJECT FIRED AT OFFICERS 3 5, 5, 3 INJURY 1 male white 61 FIREARM
    4 CUTTING INSTRUMENT - SUBJECT ATTACKED CIVILIAN 2 1 and 2 FATAL 1 male white 49 KNIFE
    5 BLUNT INSTRUMENT - VEHICLE 3 9, 9, 1 FATAL 1 male Hispanic 28 VEHICLE
    6 FIREARM - SUBJECT FIRED AT POLICE 1 8 INJURY 1 male black 20 FIREARM
    7 IMITATION FIREARM - SUBJECT MENACED POLICE 3 9, 5, 4 INJURY 1 male black 20 IMITATION
    8 FIREARM - SUBJECT MENACED OFFICER THEN FLED 1 1 unk 1 male black unk FIREARM
    9 FIREARM - SUBJECT ATTEMPTED TO ROB UNDERCOVER 1 3 FATAL 1 male Hispanic 31 FIREARM
    10 FIREARM - SUBJECT MURDERED CIVILIAN 1 7 FATAL 1 male white 48 FIREARM
    11 OFFICER PERCEIVED THREAT 1 1 INJURY 1 male black 23 NONE
    12 OFFICER PERCEIVED THREAT 1 1 1 male black 19 FIREWORKS
    13 FIREARM - SUBJECT SHOT CIVILIAN 2 1 and 1 FATAL 1 male white 45 FIREARM
    14 FIREARM - SUBJECT FIRED AT OFFICERS 1 9 INJURY 1 male Hispanic 26 FIREARM
    15 CUTTING INSTRUMENT - SUBJECT MURDERED CIVILIAN 1 3 INJURY 1 male black 53 KNIFE
    16 FIREARM - SUBJECT ATTEMPTED TO ROB UNDERCOVER 1 4 FATAL 1 male black 17 FIREARM
    17 FIREARM - SUBJECTS SHOT AND SERIOUSLY INJURED OFFICER 1 16 INJURY 2 male black 28 FIREARM
    INJURY male Hispanic 35 FIREARM
    18 FIREARM - SUBJECT MENACED OFFICER 1 2 INJURY 1 male black 21 FIREARM
    19 CUTTING INSTRUMENT - SUBJECT MENACED OFFICER 1 1 INJURY 1 male black 42 FIREARM
    20 OFFICER PERCEIVED THREAT 1 1 1 male Hispanic 21 UNKNOWN
    21 FIREARM - SUBJECT MENACED OFFICER 1 1 1 male black 25 FIREARM
    22 FIREARM - SUBJECT FIRED AT OFFICERS, SHOT CIVILIANS 1 13 INJURY 1 male Hispanic 19 FIREARM
    23 FIREARM - SUBJECT MURDERED CIVILIAN 8 73 total INJURY 1 male black 35 FIREARM
    24 OVERWHELMING PHYS FORCE - SUBJECT CHOCKED OFFICER 1 1 FATAL 1 male Hispanic 43 PHYS FORCE
    male Hispanic 24 PHYS FORCE
    25 IMITATION FIREARM - SUBJECT MENACED OFFICER 1 1 1 male Hispanic 32 PAINTBALL GUN
    26 FIREARM - SUBJECT FIRED AT OFFICERS 2 4 and 7 3 male black 34 FIREARM
    male black 20 SHOTGUN
    male black 32 FIREARM
    27 FIREARM - SUBJECT FIRED AT OFFICERS, STRIKING TWO 8 45 total INJURY 1 male black 30 FIREARM
    28 CUTTING INSTRUMENT - SUBJECT ATTACKED CIVILIAN 2 8 and 5 FATAL 1 female black 57 KNIVES
    29 FIREARM SUBJECT ATTEMPTED TO ROB DINER 2 10 and 3 INJURY male white 41 FIREARM
    30 OVERWHELMING PHYS. FORCE - SUBJECTS ATTEMPTED 1 8 INJURY 2 male Hispanic 21 PHYS FORCE
    TO TAKE OFFICER’S FIREARM INJURY male Hispanic 19 PHYS FORCE
    31 FIREARM 1 3 1 male Hispanic 32 FIREARM
    32 FIREARM 1 1 1 male black 18 FIREARM
    33 FIREARM SUBJECT FIRED AT OFFICERS 2 4 and 1 1 male black 26 FIREARM
    34 FIREARM 1 1 INJURY 1 male Hispanic 27 FIREARM
    35 OVERWH. PHYS. FORCE - SUBJECT PUSHED OFFICER AT TRACKS 1 1 INJURY 1 male black 22 PHYS FORCE
    36 FIREARM 1 3 FATAL 1 male white 43 FIREARM
    2011 ANNUAL FIREARMS DISCHARGE REPORT, on page 63

    New York City Police Department

    APPENDIX — HISTORICAL DATA page 63

    [This table] represents officers who were shot by criminal subjects and do not represent accidental shootings, suicides, unauthorized shootings, incidents in which officers were personally involved, crossfire incidents, or mistaken-identity shootings.

    OFFICERS SHOT AND INJURED BY SUBJECTS 1971-2011

    1971 47 1972 40 1973 50 1974 17 1975 16 1976 11 1977 16 1978 11 1979 17 1980 10
    1981 13 1982 26 1983 13 1984 24 1985 10 1986 26 1987 15 1988 21 1989 31 1990 24
    1991 28 1992 29 1993 19 1994 11 1995 15 1996 15 1997 23 1998 10 1999 11 2000 8
    2001 10 2002 7 2003 7 2004 4 2005 7 2006 4 2007 7 2008 3 2009 0 2010 2
    2011 3
    2011 ANNUAL FIREARMS DISCHARGE REPORT, on page 63

    New York City Police Department

    APPENDIX — HISTORICAL DATA page 63

    [This table] represents officers who were shot by criminal subjects and do not represent accidental shootings, suicides, unauthorized shootings, incidents in which officers were personally involved, crossfire incidents, or mistaken-identity shootings.

    OFFICERS SHOT AND KILLED BY SUBJECTS 1971-2011

    1971 12 1972 6 1973 7 1974 4 1975 6 1976 1 1977 4 1978 5 1979 5 1980 10
    1981 4 1982 3 1983 1 1984 4 1985 0 1986 3 1987 2 1988 6 1989 5 1990 0
    1991 2 1992 2 1993 2 1994 2 1995 0 1996 6 1997 4 1998 3 1999 0 2000 0
    2001 0 2002 0 2003 2 2004 2 2005 2 2006 0 2007 3 2008 0 2009 0 2010 0
    2011 1
  • Rush Limbaugh Show,M-F,12NOONPM-3PM,EST,WOR AM,December 8,2014

    12/08/2014 10:48:26 AM PST · 57 of 104
    WilliamofCarmichael to All
    2011 ANNUAL FIREARMS DISCHARGE REPORT, on page 76

    2000 2001 2002
    WOUNDED KILLED WOUNDED KILLED WOUNDED KILLED
    WHITE 0 6 2 0 0 0
    BLACK 15 6 11 9 20 7
    HISPANIC 4 2 4 2 4 6
    ASIAN 1 0 0 0 0 0
    TOTAL 20 14 17 11 24 13
    2003 2004 2005
    WOUNDED KILLED WOUNDED KILLED WOUNDED KILLED
    WHITE 1 1 1 1 4 0
    BLACK 12 13 15 6 21 7
    HISPANIC 10 0 7 4 3 2
    ASIAN 1 0 0 0 1 0
    TOTAL 24 14 23 11 29 9
    2006 2007 2008
    WOUNDED KILLED WOUNDED KILLED WOUNDED KILLED
    WHITE 1 1 0 2 0 2
    BLACK 16 9 9 5 12 7
    HISPANIC 6 3 9 3 6 4
    ASIAN 0 0 1 0 0 0
    TOTAL 23 13 19 10 18 13
    2009 2010 2011
    WOUNDED KILLED WOUNDED KILLED WOUNDED KILLED
    WHITE 0 0 3 2 2 4
    BLACK 14 8 9 1 10 2
    HISPANIC 6 4 3 4 7 3
    ASIAN 0 0 1 1 0 0
    TOTAL 20 12 16 8 19 9

    I believe this report is the source of the NYC police shooting mentioned above. The earlier years were not mentioned.. truth matters, regardless.

  • Rush Limbaugh Show,M-F,12NOONPM-3PM,EST,WOR AM,December 8,2014

    12/08/2014 10:11:48 AM PST · 40 of 104
    WilliamofCarmichael to Biggirl
    Thank you! Here's something Bill Cunningham talked about on his Sunday night national show..
    In 2011, for example, New York officers fired at 41 suspects and killed nine of them — an astonishingly low number in light of New York’s population and the size of its police force. Virtually all of these shootings were justified.

    Blacks were 22% of those fatalities; whites were 44% of them. Yet blacks were 67% of all suspects who fired at the police; no white suspect fired at the police.

    Moreover, blacks made up 73% of all shooting perpetrators in the city in 2011, according to the victims of, and witnesses to, those shootings, though they are only 23% of the population. Whites committed less than three percent of all shootings, though they are close to 35% of the city’s population.

    BY Heather Mac Donald

    My emphasis.

  • Rush Limbaugh Show,M-F,12NOONPM-3PM,EST,WOR AM,December 8,2014

    12/08/2014 9:49:25 AM PST · 26 of 104
    WilliamofCarmichael to All
    Advertisement

    College grads. For a career where there are no recessions! Poverty industry and the race-grievance industry.. always hiring.

    google search for "grievance industry" 1/1/1996 to 12/31/1999

    got less than 10 hits. Among them was this Heritage Foundation Jun 24, 1998 -

    "The poverty industry has joined forces with the race-grievance industry, and together they suppress reform that could have the power to uplift those low-income ..."

    It goes back further.. in the 60s the grievance industry used mau-mauing and organizations targeted actually assigned "flak catchers" to deal with them. Radical Chic & Mau-Mauing the Flak Catchers by Tom Wolfe.

  • Rush Limbaugh Show,M-F,12NOONPM-3PM,EST,WOR AM,December 8,2014

    12/08/2014 9:32:27 AM PST · 15 of 104
    WilliamofCarmichael to Biggirl
    Rush: "It's being going on for sixty years as long as I can remember . . . ."

    Celebrating 120 years!

    “There is a class of colored people who make a business of keeping the troubles, the wrongs, and the hardships of the Negro race before the public. Having learned that they are able to make a living out of their troubles, they have grown into the settled habit of advertising their wrongs-partly because they want sympathy and partly because it pays. Some of these people do not want the Negro to lose his grievances, because they do not want to lose their jobs. ~ Booker T. Washington (1856-1915.) ~ Educator, Author, Civil Rights Leader

    "Booker'em, Rushbo!"

  • Mark Levin Show,M-F,6PM-9PM,EST,WABC AM,December 4,2014

    12/04/2014 5:18:07 PM PST · 54 of 61
    WilliamofCarmichael to All
    Did Levin say Red China?

    We tried the usual methods but the Chi-coms won't pay

    United States Free Enterprise, INC.

    INVOICE

    • Capital, Goods and Services stolen and extorted by the Peoples Republic of China
      FDI, Intellectual Property, technology, know how . . . . . . . . . . . . . . .$ 2,500,000,000,000.00

    • Payments received from the Peoples Republic of China . . . . . . . . . . .$ 1,300,000,000,000.00
      Amount past due . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . $ 1,200,000,000,000.00

    Your Treasury certificates are your payment receipts. Thank you.

  • Mark Levin Show,M-F,6PM-9PM,EST,WABC AM,December 4,2014

    12/04/2014 3:30:26 PM PST · 14 of 61
    WilliamofCarmichael to Biggirl
    Kudos to Levin for trying to get hard facts inserted into the discussion.

    Everything is racial for the Obama-Holder demagogues, the race-grievance industry, and most MSM employees. OK. Fine.

    I have some racial comments. I have a copy of some racial data. They are from the FBI's new National Incident-Based Reporting System and there seems to be a huge surplus of black offenders vs. black victims.

    And on the white side there is a huge surplus of white victims vs. white offenders.

    Could it be that contrary to the efforts of the Obama-Holder demagogues, the race-grievance industry, and most MSM employees screams of RACISM! that Black Americans really do not have that much to fear from White Americans?

    And is there an explanation for the surplus of black offenders?

    The last four columns of the last table are MY ADDITIONS they are not part of the FBI NIBRS data. The last four columns of the last table below are MY ADDITIONS.

    .. Personally I wonder about that dearth of white offenders and the surplus of white victims compared to the numbers of those white offenders. What's that about? Who's picking up the slack? That surplus of black offenders?

    I am not saying that this proves anything one way or the other. Just curious it seems to me. Seriously.

    Victims' Race
    by Offense Category, 2012

    Offense Category "Total Victims1" White Black "American Indian or
    Alaskan Native"
    "Asian/Pacific
    Islander"
    "Unknown Race"
    Total 4,332,695 3,156,006 901,159 22,326 50,615 202,589
    Crimes Against Persons 1,327,863 893,984 374,220 11,133 10,072 38,454
    Assault Offenses 1,228,498 820,215 354,624 10,126 9,274 34,259
    Homicide Offenses 3,943 1,885 1,940 22 34 62
    Kidnapping/Abduction 15,797 10,946 4,059 162 181 449
    Sex Offenses, Forcible 73,132 55,876 12,569 743 546 3,398
    Sex Offenses, Nonforcible 6,493 5,062 1,028 80 37 286
    Crimes Against Property 3,004,832 2,262,022 526,939 11,193 40,543 164,135
    Arson 12,300 7,816 2,706 48 109 1,621
    Bribery 250 197 35 3 2 13
    Burglary/Breaking & Entering 538,561 402,371 106,177 1,776 7,124 21,113
    Counterfeiting/Forgery 39,203 30,973 4,335 166 509 3,220
    Destruction/Damage/Vandalism 660,184 485,374 129,772 2,791 8,657 33,590
    Embezzlement 3,654 3,053 364 11 38 188
    Extortion/Blackmail 1,207 902 221 3 28 53
    Fraud Offenses 216,429 163,449 34,812 530 3,010 14,628
    Larceny/Theft Offenses 1,262,354 992,072 177,229 4,752 16,507 71,794
    Motor Vehicle Theft 159,295 106,661 39,588 621 2,057 10,368
    Robbery 81,554 47,647 29,138 396 2,155 2,218
    Stolen Property Offenses 29,841 21,507 2,562 96 347 5,329
    1 This table includes only individual (person) victims and does not include business, financial institution, government, religious organization, or other victims. Victims are counted once for each offense type to which they are connected.

    Offenders' Race
    by Offense Category, 2012

    Offense Category "Total Victims1" White Black "American
    Indian or
    Alaskan
    Native"
    "Asian/
    Pacific
    Islander"
    "Unknown
    Race"
    Number of
    white victims
    vs.
    number of
    white offenders
    Number of
    black victims
    vs.
    number of
    black offenders
    Total 4,556,183 2,574,105 1,261,337 39,967 29,895 650,879
    Crimes Against Persons 1,297,153 768,147 452,877 12,905 9,718 53,506 125,837 -78,657 1.16 0.83
    Assault Offenses 1,199,433 706,529 425,744 11,963 8,899 46,298 113,686 -71,120 1.16 0.83
    Homicide Offenses 4,465 1,798 2,232 29 27 379 87 -292 1.05 0.87
    Kidnapping/Abduction 16,328 9,432 5,890 178 150 678 1,514 -1,831 1.16 0.69
    Sex Offenses, Forcible 70,441 45,694 17,745 650 593 5,759 10,182 -5,176 1.22 0.71
    Sex Offenses, Nonforcible 6,486 4,694 1,266 85 49 392 368 -238 1.08 0.81
    Crimes Against Property 2,361,079 1,180,180 572,430 18,083 13,504 576,882 1,081,842 -45,491 1.92 0.92
    Arson 10,827 5,796 2,124 71 45 2,791 2,020 582 1.35 1.27
    Bribery 412 298 94 5 4 11 -101 -59 0.66 0.37
    Burglary/Breaking & Entering 316,477 135,148 67,924 1,615 1,188 110,602 267,223 38,253 2.98 1.56
    Counterfeiting/Forgery 68,197 41,299 16,845 317 488 9,248 -10,326 -12,510 0.75 0.26
    Destruction/Damage/Vandalism 434,796 210,310 97,822 3,270 2,313 121,081 275,064 31,950 2.31 1.33
    Embezzlement 18,520 12,548 4,881 56 136 899 -9,495 -4,517 0.24 0.07
    Extortion/Blackmail 1,180 657 316 2 22 183 245 -95 1.37 0.70
    Fraud Offenses 173,359 92,094 37,757 903 1,178 41,427 71,355 -2,945 1.77 0.92
    Larceny/Theft Offenses 1,100,592 587,178 244,545 10,043 6,837 251,989 404,894 -67,316 1.69 0.72
    Motor Vehicle Theft 85,909 37,404 18,213 858 450 28,984 69,257 21,375 2.85 2.17
    Robbery 105,005 26,173 70,039 483 468 7,842 21,474 -40,901 1.82 0.42
    Stolen Property Offenses 45,805 31,275 11,870 460 375 1,825 -9,768 -9,308 0.69 0.22
    Crimes Against Society 897,951 625,778 236,030 8,979 6,673 20,491 -625,778 -236,030
    Drug/Narcotic Offenses 790,828 566,888 194,224 8,351 5,453 15,912 -566,888 -194,224
    Gambling Offenses 2,320 873 1,230 11 113 93 -873 -1,230
    Pornography/Obscene Material 5,962 4,691 659 24 36 552 -4,691 -659
    Prostitution Offenses 12,182 7,248 4,199 52 373 310 -7,248 -4,199
    Weapon Law Violations 86,659 46,078 35,718 541 698 3,624 -46,078 -35,718
    1Does not include 1,741,162 incidents with Unknown Offenders. Offenders are counted once for each offense type to which they are connected.
  • Rush Limbaugh Show,M-F,12NOONPM-3PM,EST,WOR AM,December 4,2014

    12/04/2014 12:07:03 PM PST · 123 of 123
    WilliamofCarmichael to StoneWall Brigade
    .. and I have read that our Navy has 200+ years as a naval power especially since the 20th Century. Our Navy has the know how vis-a-vis all that sophisticated tactics, technology, and stuff.

    But it is true that the aging 1960s Marxist-Alinsky campus radical, psycho spoiled brats and their ideological litters occupying the buildings in D.C. are doing their best to "bring it all down, man" and destroy the U.S. Navy.

  • Rush Limbaugh Show,M-F,12NOONPM-3PM,EST,WOR AM,December 4,2014

    12/04/2014 10:32:12 AM PST · 83 of 123
    WilliamofCarmichael to Biggirl
    "Largest economic power" in world.. but Red China's ascent to Number One Super Power scheduled for next Tuesday afternoon, about tea time, has been delayed..

    China Overview

    • China remains a developing country (its per capita income is still a fraction of that in advanced countries)and
    • its market reforms are incomplete;
    • official data shows that about 98.99 million people still lived below the national poverty line of RMB 2,300 per year at the end of 2012;
    • with the second largest number of poor in the world after India, poverty reduction remains a fundamental challenge;

      Rapid economic ascendance has brought on many challenges as well, including

      • high inequality;
      • rapid urbanization;
      • challenges to environmental sustainability; and
      • external imbalances.

      China also faces demographic pressures related to

      • an aging population and
      • the internal migration of labor.
  • Ferguson Activist On MSNBC: Garner Decision Means It's Legal To "Hang And Lynch' People Of Color

    12/03/2014 9:12:33 PM PST · 25 of 38
    WilliamofCarmichael to absentee
    They made it a racial thing..

    It's legal in the United States of America to still hang and lynch people of color without any type of accountability. That's what it means.

    Well let's see.. here'a an accounting of about 60 years of legal executions and illegal lynchings provided by www.ncjrs.gov, see pdf for information on the source of data. Following that are the FBI criminal homicide figures showing 10 recent years of white-on-black and black-on-white murders.

    Table 2-1. Executions per Decade Under Civil Authority and Illegal Lynchings: 1890-1984

    1890'sa 1900's 1910's 1920's 1930's 1940's 1950's 1960's 1970's 1980's-
    1984
    Total
    Total Under State Authority 155 289 636 1,038 1,523 1,177 684 192 3 29 5,726
    Race
    Number Nonwhite 70 157 286 481 745 706 361 99 1 9 2,915
    Percent Nonwhite 55% 62% 47% 49% 52% 63% 56% 52% 33% 31% 54%
    Race Unknown (27) (37) (26) (51) (79) (55) (32) (1) (0) (0) (308)
    Offense
    Murder 155 281 570 961 1,383 980 564 152 3 29 5,078
    Rape 0 5 40 69 112 172 92 28 0 0 518
    Other 0 3 26 8 28 23 19 8 0 0 115
    Offense Unknown (0) (0) (0) (0) (0) (2) (9) (4) (0) (0) (15)
    Total Under Local Authority 1,060 901 406 131 147 110 35 0 0 0 2,790
    Total Under Clvll Authorlty (State and Local) 1,215 1,190 1,042 1,169 1,670 1,287 719 192 3 29 8,516
    Illegal Lynchings 1,540 895 621 315 130 33 8 1 b b 3,543
    Total per Decade (Legal and Illegal) 2,755 1,995 1,663 1,484 1,800 1,292 721 192 3 29 12,059


    Notes:

    a The earllest recorded execution under State authorlty was ln 1864. Between 1864 and 1890, 57 persons were reported executed under State authorlty.

    b No lynchings reported after 1962.

    Expanded Homicide Data
    Table 6 data for multiple years.

    FBI Homicides Statistics

    Year of
    Stats
    Race of
    Victims

    Total
    White
    Offenders
    Black
    Offenders
    Unknown
    & other
    2012
    White
    3,128
    2,614
    431
    83
    Black
    2,648
    193
    2,412
    43
    2011
    White
    3,172
    2,630
    448
    94
    Black
    2,695
    193
    2,447
    55
    2010
    White
    3,327
    2,777
    447
    103
    Black
    2,720
    218
    2,459
    43
    2009
    White
    3,518
    2,963
    454
    101
    Black
    2,867
    209
    2,604
    54
    2008
    White
    3,643
    3,036
    504
    103
    Black
    3,024
    230
    2,722
    72
    2007
    White
    3,587
    2,918
    566
    103
    Black
    3,221
    245
    2,905
    71
    2006
    White
    3,709
    3,026
    573
    110
    Black
    3,303
    208
    3,034
    61
    2005
    White
    3,785
    3,150
    516
    119
    Black
    3,289
    230
    2,984
    75
    2004
    White
    3,727
    3,123
    522
    85
    Black
    3,067
    228
    2,784
    55
    1995
    White
    4,954
    4,124
    699
    131
    Black
    4,764
    281
    4,422
    61

    I did not find data for the years 1996 through 2003

    www.fbi.gov About Us CJIS UCR Crime in the U.S. Here's the links to most of the FBI tables I referenced above.

    Here's 2012

    Here's 2011

    Here's 2010

    Here's 2009

    • choose Continue to Crime in the United States, 2009
    • choose Homicides
    • choose Expanded Homicide Data Table 6

    Here's 2008

    Here's 2007

    • choose Homicides
    • choose Expanded Homicide Data Tables / Table 5

    Here's 2006

    • choose Expanded Homicide Data
    • choose Expanded Homicide Table 5

    Here's 2005

    • choose Expanded Homicide Data
    • choose Expanded Homicide Data Table 5

    It is long past the time when facts should be made public to expose the lies and misrepresentations of the Obama-Holder demagogues and the race-grievance industry.The Obama-Holder demagogues, the race-grievance industry, and most employees of the MSM have made this a racial issue. So let's see..

    So adding up the blacks killed by whites (Col 1) and whites killed by blacks(col 2). Surprise.

    col 1 Col 2
    193 431
    193 448
    218 447
    209 454
    230 504
    245 566
    208 573
    230 516
    228 522
    281 699
    2235 5160

    From first table above, Total Under State Authority is 5,726 and Total Under Local Authority is 2,790 for a Total of 8,516 legal executions; plus illegal lynchings 3,543 equals a Total of 12,059.

    Probably half of the 8,516 were blacks executed by the state and local and most of the lynching were black victims. In at least sixty years. So what is that 8,000+ in sixty years?

    Meanwhile 5,160 whites murdered (excludes executions) in ten years minus the 2,235 blacks murdered by whites. Or roughly a gain of 3,000 a decade for blacks.

    Hey! The Obama-Holder demagogues, the race grievance industry, and most MSM employees want this to be racial thing. There are (at least) two sides, ya know.

  • Seattle Muslim arrested for threats against Ferguson officer

    12/03/2014 1:24:35 PM PST · 9 of 12
    WilliamofCarmichael to SWAMPSNIPER
    Federal data proves that it's no idle threat. It happens hundreds of times over the years.

    Law Enforcement Officers Feloniously Killed, Age Group of Known Offender, 2002–2011. Table 42

    Law Enforcement Officers Feloniously Killed

    Age Group of Known Offender, 2002–2011Table 42

    Age group Total 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
    Number of known offenders 595 63 58 61 56 57 66 42 41 74 77
    Under 18 33 3 3 3 2 4 7 3 2 1 5
    18–24 198 24 24 19 19 24 26 8 11 23 20
    25–30 127 11 13 12 15 9 10 10 6 21 20
    31–35 70 8 4 8 8 7 6 4 9 8 8
    36–40 50 4 7 6 2 2 4 5 5 8 7
    41–45 43 5 0 6 2 6 3 7 4 7 3
    46–50 19 0 1 0 6 1 2 3 1 0 5
    51–55 24 3 4 2 0 2 3 1 2 3 4
    56–60 16 2 1 3 0 1 2 1 0 2 4
    Over 60 10 3 1 2 2 0 0 0 1 1 0
    Not reported 5 0 0 0 0 1 3 0 0 0 1
    Average age 30 31 29 31 30 28 28 32 32 31 32


    Law Enforcement Officers Feloniously Killed Race and Sex of Known Offender, 2002–2011. Table 44

    Law Enforcement Officers Feloniously Killed

    Race and Sex of Known Offender, 2002–2011. Table 44.

    Known offender Total 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
    Number of known offenders 595 63 58 61 56 57 66 42 41 74 77
    Race
    White 306 39 31 27 36 25 35 20 24 26 43
    Black 265 24 26 34 20 29 26 21 17 39 29
    Asian/Pacific Islander 8 0 0 0 0 0 4 1 0 2 1
    American Indian/Alaskan Native 7 0 1 0 0 0 0 0 0 4 2
    Not reported 9 0 0 0 0 3 1 0 0 3 2
    Sex
    Male 582 61 57 61 56 56 65 40 39 72 75
    Female 13 2 1 0 0 1 1 2 2 2 2

    Warning: Not accepted by MSM employees. Approach the truth on you own.

  • Attorney General Eric Holder Suggests US Police Are an “Occupying Force” (Video)

    12/02/2014 9:59:44 PM PST · 18 of 43
    WilliamofCarmichael to Nachum
    As if policemen don't have enough threats and violence facing them hourly. They got this campus radical after them



    Table 67 Law Enforcement Officers Assaulted
    Time of Incident by Number of Assaults and Percent Distribution,1 2003–2012 - PART 1

    2003 2004 2005 2006 2007
    Time Total Percent distribution Total Percent distribution Total Percent distribution Total Percent distribution Total Percent distribution Total Percent distribution
    Number of victim officers 581,239 100.0 58,600 100.0 59,692 100.0 57,820 100.0 59,396 100.0 61,257 100.0
    Total A.M. hours 235,253 40.5 24,018 41.0 24,355 40.8 23,070 39.9 23,964 40.3 24,488 40.0
    12:01 a.m.–2 a.m. 88,637 15.2 8,924 15.2 8,932 15.0 8,325 14.4 8,823 14.9 9,318 15.2
    2:01 a.m.–4 a.m. 55,521 9.6 5,604 9.6 5,781 9.7 5,438 9.4 5,505 9.3 5,862 9.6
    4:01 a.m.–6 a.m. 21,074 3.6 2,288 3.9 2,183 3.7 2,048 3.5 2,169 3.7 2,157 3.5
    6:01 a.m.–8 a.m. 14,846 2.6 1,569 2.7 1,626 2.7 1,549 2.7 1,548 2.6 1,476 2.4
    8:01 a.m.–10 a.m. 23,947 4.1 2,434 4.2 2,589 4.3 2,518 4.4 2,621 4.4 2,489 4.1
    10:01 a.m.–Noon 31,228 5.4 3,199 5.5 3,244 5.4 3,192 5.5 3,298 5.6 3,186 5.2
    Total P.M. hours 345,986 59.5 34,582 59.0 35,337 59.2 34,750 60.1 35,432 59.7 36,769 60.0
    12:01 p.m.–2 p.m. 34,909 6.0 3,567 6.1 3,627 6.1 3,532 6.1 3,599 6.1 3,659 6.0
    2:01 p.m.–4 p.m. 43,148 7.4 4,368 7.5 4,500 7.5 4,268 7.4 4,508 7.6 4,464 7.3
    4:01 p.m.–6 p.m. 51,962 8.9 5,197 8.9 5,305 8.9 5,366 9.3 5,307 8.9 5,573 9.1
    6:01 p.m.–8 p.m. 61,826 10.6 6,408 10.9 6,067 10.2 6,160 10.7 6,309 10.6 6,372 10.4
    8:01 p.m.–10 p.m. 73,304 12.6 7,397 12.6 7,570 12.7 7,276 12.6 7,487 12.6 7,825 12.8
    10:01 p.m.–Midnight 80,837 13.9 7,645 13.0 8,268 13.9 8,148 14.1 8,222 13.8 8,876 14.5
    Table 67 Law Enforcement Officers Assaulted
    Time of Incident by Number of Assaults and Percent Distribution,1 2003–2012 - PART 2
    2008 2009 2010 2011 2012
    Time Total Percent distribution Total Percent distribution Total Percent distribution Total Percent distribution Total Percent distribution
    Number of victim officers 61,087 100.0 58,364 100.0 56,491 100.0 55,631 100.0 52,901 100.0
    Total A.M. hours 24,637 40.3 23,586 40.4 22,807 40.4 22,703 40.8 21,625 40.9
    12:01 a.m.–2 a.m. 9,585 15.7 9,323 16.0 8,829 15.6 8,555 15.4 8,023 15.2
    2:01 a.m.–4 a.m. 5,879 9.6 5,653 9.7 5,390 9.5 5,293 9.5 5,116 9.7
    4:01 a.m.–6 a.m. 2,114 3.5 2,082 3.6 1,987 3.5 2,126 3.8 1,920 3.6
    6:01 a.m.–8 a.m. 1,480 2.4 1,389 2.4 1,428 2.5 1,438 2.6 1,343 2.5
    8:01 a.m.–10 a.m. 2,376 3.9 2,192 3.8 2,291 4.1 2,213 4.0 2,224 4.2
    10:01 a.m.–Noon 3,203 5.2 2,947 5.0 2,882 5.1 3,078 5.5 2,999 5.7
    Total P.M. hours 36,450 59.7 34,778 59.6 33,684 59.6 32,928 59.2 31,276 59.1
    12:01 p.m.–2 p.m. 3,558 5.8 3,414 5.8 3,307 5.9 3,297 5.9 3,349 6.3
    2:01 p.m.–4 p.m. 4,286 7.0 4,232 7.3 4,361 7.7 4,145 7.5 4,016 7.6
    4:01 p.m.–6 p.m. 5,274 8.6 5,315 9.1 5,045 8.9 4,826 8.7 4,754 9.0
    6:01 p.m.–8 p.m. 6,611 10.8 6,269 10.7 6,088 10.8 6,032 10.8 5,510 10.4
    8:01 p.m.–10 p.m. 7,853 12.9 7,337 12.6 7,195 12.7 6,808 12.2 6,556 12.4
    10:01 p.m.–Midnight 8,868 14.5 8,211 14.1 7,688 13.6 7,820 14.1 7,091 13.4


    Law Enforcement Officers Feloniously Killed, Age Group of Known Offender, 2002–2011. Table 42

    Law Enforcement Officers Feloniously Killed

    Age Group of Known Offender, 2002–2011Table 42

    Age group Total 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
    Number of known offenders 595 63 58 61 56 57 66 42 41 74 77
    Under 18 33 3 3 3 2 4 7 3 2 1 5
    18–24 198 24 24 19 19 24 26 8 11 23 20
    25–30 127 11 13 12 15 9 10 10 6 21 20
    31–35 70 8 4 8 8 7 6 4 9 8 8
    36–40 50 4 7 6 2 2 4 5 5 8 7
    41–45 43 5 0 6 2 6 3 7 4 7 3
    46–50 19 0 1 0 6 1 2 3 1 0 5
    51–55 24 3 4 2 0 2 3 1 2 3 4
    56–60 16 2 1 3 0 1 2 1 0 2 4
    Over 60 10 3 1 2 2 0 0 0 1 1 0
    Not reported 5 0 0 0 0 1 3 0 0 0 1
    Average age 30 31 29 31 30 28 28 32 32 31 32


    Law Enforcement Officers Feloniously Killed Race and Sex of Known Offender, 2002–2011. Table 44

    Law Enforcement Officers Feloniously Killed

    Race and Sex of Known Offender, 2002–2011. Table 44.

    Known offender Total 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
    Number of known offenders 595 63 58 61 56 57 66 42 41 74 77
    Race
    White 306 39 31 27 36 25 35 20 24 26 43
    Black 265 24 26 34 20 29 26 21 17 39 29
    Asian/Pacific Islander 8 0 0 0 0 0 4 1 0 2 1
    American Indian/Alaskan Native 7 0 1 0 0 0 0 0 0 4 2
    Not reported 9 0 0 0 0 3 1 0 0 3 2
    Sex
    Male 582 61 57 61 56 56 65 40 39 72 75
    Female 13 2 1 0 0 1 1 2 2 2 2
  • Washington Felon Arrested for Threatening to Kill Darren Wilson & White Police Officers

    12/02/2014 8:51:01 PM PST · 30 of 32
    WilliamofCarmichael to PROCON
    Kill policemen? He may have to take a number and wait his turn. How old is he? We may have an opening in the over 60 slot.

    Law Enforcement Officers Feloniously Killed, Age Group of Known Offender, 2002–2011. Table 42

    Law Enforcement Officers Feloniously Killed

    Age Group of Known Offender, 2002–2011Table 42

    Age group Total 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
    Number of known offenders 595 63 58 61 56 57 66 42 41 74 77
    Under 18 33 3 3 3 2 4 7 3 2 1 5
    18–24 198 24 24 19 19 24 26 8 11 23 20
    25–30 127 11 13 12 15 9 10 10 6 21 20
    31–35 70 8 4 8 8 7 6 4 9 8 8
    36–40 50 4 7 6 2 2 4 5 5 8 7
    41–45 43 5 0 6 2 6 3 7 4 7 3
    46–50 19 0 1 0 6 1 2 3 1 0 5
    51–55 24 3 4 2 0 2 3 1 2 3 4
    56–60 16 2 1 3 0 1 2 1 0 2 4
    Over 60 10 3 1 2 2 0 0 0 1 1 0
    Not reported 5 0 0 0 0 1 3 0 0 0 1
    Average age 30 31 29 31 30 28 28 32 32 31 32


    Law Enforcement Officers Feloniously Killed Race and Sex of Known Offender, 2002–2011. Table 44

    Law Enforcement Officers Feloniously Killed

    Race and Sex of Known Offender, 2002–2011. Table 44.

    Known offender Total 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
    Number of known offenders 595 63 58 61 56 57 66 42 41 74 77
    Race
    White 306 39 31 27 36 25 35 20 24 26 43
    Black 265 24 26 34 20 29 26 21 17 39 29
    Asian/Pacific Islander 8 0 0 0 0 0 4 1 0 2 1
    American Indian/Alaskan Native 7 0 1 0 0 0 0 0 0 4 2
    Not reported 9 0 0 0 0 3 1 0 0 3 2
    Sex
    Male 582 61 57 61 56 56 65 40 39 72 75
    Female 13 2 1 0 0 1 1 2 2 2 2

    Don't forget.. whites outnumber blacks by at least 6-to-1.

  • Allen West Slams Obama’s Racial Cherry Picking For Political Benefit

    12/02/2014 7:41:57 PM PST · 34 of 35
    WilliamofCarmichael to GOPJ
    What no more NCVS Table 42 (races of victim-offender crime stats by categories of crime) after 2008?

    IMO the Obama-Holder Dept. of Just Us and Our People will not release facts that disturb their racial demagoguery.

    All these federal tables contradict their bullshit.

    The FBI does have a new system NIBRS (National Incident-Based Reporting System) that does not show interracial crime but does show victim figures and offender figures by race that IMO strongly suggest the obvious.

    I have both in html and I post them here. see the FR thread. The FBI NIBRS downloads (the links are in the FR thread) are in spread sheet format.

  • Allen West Slams Obama’s Racial Cherry Picking For Political Benefit

    12/02/2014 4:53:09 PM PST · 31 of 35
    WilliamofCarmichael to GOPJ
    I agree.

    But in the case of the NCVS it is entirely a federal DoJ decades-old operation. Here is a brief description using sexual assault numbers. It's from the '80s.

    "In the course of twice-a-year interviews conducted with more than 125,000 people each year in the National Crime Survey, only about 100 cases of rape or attempted rape are reported. When the sample is compared to the size of the general population, it is estimated that each reported incident represents about 1,200 rapes or rape attempts that took place across the country. Nevertheless, 100 cases are too few for detailed statistical analysis. To obtain enough information for a detailed examination of the crime of rape, all cases of female rape reported in the National Crime Survey from 1973 through 1982 were aggregated into a single data set. The set consists of 1,082 cases representing a national total of 1.5 million instances of rape or attempted rape during the decade."
    source U.S. Department of Justice

    Table 8. Race of female rape victims by race of offenders, 1973-82
    Race of Race of victims
    offendersa White Black Other
    Single offender
    Number
    (in thousands) 997 211 15
    Percent who were:
    White 70% 8% 72%
    Black 23% 89% #
    Other 6% # #
    Multiple offenders
    Number
    (in thousands) 218 50 3
    Percent who were:
    White 52% # #
    Black 27% 75% #
    Other 6 # #
    Mixed groups 14 # #

    Note: Cases in which race of offenders was not known have been excluded.

    # Too few cases in the survey sample to obtain statistically reliable data.

    a As perceived by victim.

    I guess I'll just have to keep looking to find where Whittle got his numbers -- again they look valid but they are not in the 2010 NCVS file that I see.

    Thanks again.

  • Dangerous distortions about cops shooting black men: Oft-cited figure based on questionable math

    12/02/2014 4:37:59 PM PST · 20 of 20
    WilliamofCarmichael to icwhatudo
    Thanks for the link www.fbi.gov Officers Feloniously Killed

    I could not find any mention of the sources with links in the article. Here is FBI Arrest Related Death (ARD) statistics covering a few years ago that covers race and age but not race + age.

    The FBI and other sources of homicide by law enforcement figures below include the majority of all police departments.

    The point of this reply is to point out that whites are the most likely to die while being arrested.

    The Obama-Holder U.S. Dept. Just Us and the race-grievance industry will of course exploit all shootings to the max vis-a-vis race more than any concern for the poor victim.

    The ARD data show that whites are more likely to die while being arrested and IMO there is no doubt that some of those deaths were the intention of the police.

    But the main point is I bet that policemen don't care about race compared to protecting themselves from being killed or maimed.

    Arrest-Related Deaths, 2003-2009 - Statistical Tables

    "From 2003 through 2009, a total of 4,813 deaths were reported to the Bureau of Justice Statistics’ (BJS) Arrest-Related Deaths (ARD) program."

    Of these, about 6 in 10 deaths (2,931) were classified as homicide by law enforcement personnel, and 4 in 10 (1,882) were attributed to other manners of death.

    Table 1 Number of reported arrest-related deaths, by manner of death, 2003-2009

    Manner of death 2003-2009 2003 2004 2005 2006 2007 2008 2009
    All manners 4,813 627 673 689 721 745 629 729
    Homicide —by law enforcement 2,931 376 375 377 447 455 404 497
    by other persons 27 3 4 4 2 7 3 4
    Suicide 541 60 84 82 67 78 76 94
    Intoxication 525 83 83 90 76 89 54 50
    Accidental injury 272 53 41 47 39 35 28 29
    Natural causes 244 26 46 32 34 42 33 31
    Unknown 273 26 40 57 56 39 31 24
    Note: Due to variation in reporting, caution should be used in comparing counts from year to year. See Methodology for information on missing data by state for each year. Counts may differ from previous publication due to additional information.

    Table 5 Number of reported arrest-related deaths, by manner of death and demographic characteristics, 2003-2009

    Demographic
    characteristics
    All manners Homicide Suicide Intoxication Accident Natural causes Unknown
    Total 4,813 2,958 541 525 272 244 273
    Sex
    Male 4,594 2,851 517 490 259 218 259
    Female 218 107 24 35 13 26 13
    Unknown 1 0 0 0 0 0 1
    Race/Hispanic origin
    White, non-Hispanic 2,026 1,233 327 178 95 110 83
    Black, non-Hispanic 1,529 937 80 217 111 85 99
    Hispanic 949 599 110 109 55 29 47
    Other* 150 107 12 17 4 4 6
    Unknown 159 82 12 4 7 16 38
    Age
    17 or younger 127 99 6 5 13 0 4
    18-24 909 685 80 53 54 10 27
    25-34 1,391 893 140 177 65 41 75
    35-44 1,238 658 159 190 78 66 87
    45-54 752 390 105 84 45 75 53
    55 or older 317 188 44 11 12 52 10
    Unknown 79 45 7 5 5 0 17
    *Includes American Indians, Alaska Natives, Asians, Native Hawaiians, other Pacific Islanders, and persons of two or more races.

    Some rightly point out that whites outnumber blacks.. true. I also post FBI homicide victim-offender data covering several years and blacks murder whites by more than 2-to-1. I will post it again with links if anyone does not believe it.

  • Allen West Slams Obama’s Racial Cherry Picking For Political Benefit

    12/02/2014 12:37:54 PM PST · 29 of 35
    WilliamofCarmichael to GOPJ; All
    I understand your point. I am well aware of your point.

    My question to all is were do the numbers come from? They comport with data from years prior; but references provided merely name a NCVS file as the source. Where is the "Criminal Victimization in the United States 2010" file they reference?

    Where is the file they used? (That's a rhetorical question.)

    I know where one is.

    I am very familiar with the Bureau of Justice Statistics NCVS files and I examined the file that the presenters named as the source, http://www.bjs.gov/content/pub/pdf/cv10.pdf

    That file does not have the referenced data.

    It does not speak well of the presenters to neglect to source their data. It reflects on all of us.

    I have several replies above addressing this. IMO it is important but other of course may not consider it so.

    Thanks for your reply.

  • Response to Ferguson Rioters: Restitution and Shaming

    12/02/2014 10:07:39 AM PST · 6 of 23
    WilliamofCarmichael to Kaslin
    Yes restitution.

    We've gotten away from personal responsibility and accountability, preferring instead to cast lawbreakers as "victims," when the true victims are often ignored.

    But who's filling their heads with such crap?

    Those people -- and we all know who they are -- need to be held accountable.

    The Obama-Holder demagogues, the Sharpton race-grievance industry, and many MSM employees surely can be sued by people harmed by the violence. I am no lawyer as you will soon discern; but..

    Traditional principles of vicarious liability include

    • aiding and abetting and
    • civil conspiracy.

    Though associated with criminal law, these theories can be used to attribute fault to persons not directly related to an act that harmed a victim.

    It must be proved that the others 'provided substantial assistance or encouragement' to those who did harm the victim.

    In the SPLC suit against Tom Metzger and WAR the skinheads were not members of Metzger's WAR. But Metzger's rantings had influence over the mindless skinheads due to his reputation in the white supremacy movement

    • the argument for liability becomes strong because
    • the one with the influence knows that the actor will probably act on his advice.

    Tom Metzger recruited 16-year-old Mazzella and schooled him in the world of racist violence. Mazzella was sent to Portland to join up with and train the East Side White Pride [skinheads]. Members of that group later brutally murdered an innocent black man.

    How is that any different that being "recruited" in college or by progressive ideologues?

    The aiding and abetting theory fits because

    • it depicts two or more independent actors,
    • at least one of whom encouraged the other(s) to act.

    Lawyers can invoke the aiding and abetting theory with relative ease. Invoking the aiding and abetting assumes two independent actors.

    To prove an aiding and abetting claim

    • the defendant must have provided the actor with substantial assistance or encouragement
    • expecting that the actor will commit violence;
    • the encouragement must have been largely responsible for causing the violent conduct;
    • the crime must also have been a foreseeable result of the assistance.

    Civil conspiracy was also used and proved against the Metzgers because he had contacted the East Side White Pride skinheads and after the murder and their arrest one skinhead called Metzger from jail. Here civil conspiracy might be proved by any contacts between the criminals and Sharpton, Holder, Obama, et al.

    Obviously I am not a lawyer and this is a kind of an outline of information available on the Internet. Why can't it be used against the "progressives" and racists of all colors?

  • The national debt is now $18 trillion. How would you pay it off?

    12/02/2014 9:58:34 AM PST · 13 of 80
    WilliamofCarmichael to SeekAndFind
    I recall in the 40s after W.W.II (similar debt) that bread was $0.25 a loaf, the average working class family annual wage was $3,600 (single-earner BTW). Ice cold cokes from a machine were five cents each (don't recall the very first time for the machine, it could have been later; but they were a nickel each.) Haircuts fifty and seventy-five cents . . . .

    Ans: inflation

  • Philly man dressed as Army Ranger at mall faces federal query for ‘fake’ uniform