Gavin says my graph is fake.
I generated the graph from Gavin’s own data on the same NASA web page Gavin linked to. Apparently the primary person in charge of creating the propaganda behind the trillion dollar global warming scam is unfamiliar with his own data.
Here is the spreadsheet 2016_01_v3_GLB.Ts.xls
(Note : there was an error in my original graphs due to years being shifted by one. That caused some jitter and slightly increased discrepancy which is corrected in the graphs and spreadsheet here)
Satellites show little or no warming during the 16 years from 2000 to 2016 when Gavin has increased warming by 2.5X.
Wood for Trees: Interactive Graphs
Also note the optical illusion Gavin employs. The lines appear very close inside the circle.
But there is actually a very large change from 2000 to 2016.
Here is Gavin’s data :
2000 Version:
GLOBAL Temperature Anomalies in deg C base period: 1951-1980
sources: GHCN 1701-12/2000 (meteorological stations only)
using elimination of outliers and homogeneity adjustment
Notes: 1941 DJF = Dec 1940 - Feb 1941 ; ***** = missing
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec J-D D-N DJF MAM JJA SON
1867 -.37 .02 -.95 .41 -.01 .46 .23 .12 .23 .54 .07 .43 .1 * * -.18 .27 .28
1868 -1.01 -.83 .32 .09 .07 .22 .09 -.29 -.01 .27 -.51 -.06 -.14 -.1 -.47 .16 .01 -.09
1869 .23 .32 -.04 .1 -.34 .21 .16 .32 -.12 -.27 .06 .23 .07 .05 .17 -.1 .23 -.11
1870 .34 -.26 -.61 -.03 -.04 .2 -.11 -.56 -.18 -.05 .02 -.75 -.17 -.09 .11 -.23 -.16 -.07
1871 -.4 -.36 -.29 .03 -.19 -.13 -.11 .11 -.15 -.4 -.34 .18 -.17 -.25 -.5 -.15 -.05 -.3
1872 .33 .34 -.13 -.14 .05 .42 .06 -.84 -.04 -.25 -.07 -.46 -.06 -.01 .28 -.08 -.12 -.12
1873 -.7 -.31 -.21 -.48 -.09 .52 -.49 .41 -.2 .38 -.73 .33 -.13 -.2 -.49 -.26 .15 -.18
1874 .27 -.31 -.1 .16 -.29 -.39 -.09 -.25 -.41 .11 -.3 .15 -.12 -.11 .09 -.08 -.25 -.2
1875 -.11 -.44 -.48 -.09 -.07 .22 .2 .2 -.38 -.13 -.59 -.47 -.18 -.13 -.13 -.22 .21 -.36
1876 .1 -.17 .26 -.14 -.44 -.18 -.31 -.39 -.25 .29 -.16 -.09 -.12 -.15 -.18 -.11 -.29 -.04
1877 -.08 .28 -.11 -.29 -.49 .02 .28 .55 -.13 -.15 .3 .51 .06 .01 .03 -.3 .29 .01
1878 .27 .41 .95 .56 -.33 -.07 .04 .02 .48 .43 .22 -.05 .24 .29 .4 .39 .0 .38
1879 .03 -.32 .0 -.33 -.29 -.67 -.55 -.2 -.09 .0 -.26 -.54 -.27 -.23 -.11 -.21 -.47 -.12
1880 .26 .08 -.11 -.15 -.13 -.55 -.2 .03 .05 -.42 -.32 -.02 -.12 -.17 -.07 -.13 -.24 -.23
1881 -.53 -.05 -.13 .1 .2 -.82 -.03 -.08 -.16 -.18 -.17 .28 -.13 -.16 -.2 .05 -.31 -.17
1882 .76 .43 .26 -.31 -.12 -.62 -.52 -.19 .23 -.13 .1 .0 -.01 .01 .49 -.06 -.44 .07
1883 -.16 -.53 -.05 .18 .01 .56 .21 -.01 -.3 -.17 -.39 .13 -.04 -.05 -.23 .05 .25 -.28
1884 -.2 .1 -.26 -.74 -.74 -.44 -.54 -.11 -.23 -.42 -.61 -.85 -.42 -.34 .01 -.58 -.36 -.42
1885 -.59 -.45 -.56 -.49 -.39 -.58 -.12 .08 -.12 .21 -.27 .34 -.24 -.34 -.63 -.48 -.21 -.06
1886 -.49 -.46 -.44 -.17 -.18 -.17 -.12 -.22 -.25 -.67 .01 -.19 -.28 -.23 -.2 -.26 -.17 -.3
1887 -.55 -.82 -.26 -.41 -.46 -.66 -.23 -.37 -.52 -.29 -.73 -.25 -.46 -.46 -.52 -.38 -.42 -.51
1888 -.37 -.57 -.64 -.06 -.41 -.24 -.33 -.32 -.34 -.04 .32 .1 -.24 -.27 -.39 -.37 -.3 -.02
1889 .17 .4 .23 .32 .31 -.01 -.34 -.31 -.23 .03 -.22 .07 .03 .04 .22 .29 -.22 -.14
1890 -.17 -.38 -.14 -.07 -.29 -.04 -.43 -.2 -.03 -.07 -.58 -.26 -.22 -.19 -.16 -.17 -.22 -.23
1891 -.79 -1.05 -.49 -.65 -.23 -.5 -.8 -.63 -.47 -.66 -.34 -.11 -.56 -.57 -.7 -.46 -.64 -.49
1892 -.51 -.08 -.45 -.72 -.48 -.4 -.31 -.14 -.42 -.41 -.4 -.51 -.4 -.37 -.23 -.55 -.28 -.41
1893 -1.54 -.79 -.44 -.28 -.44 -.45 -.04 .0 -.19 .24 -.29 -.48 -.39 -.39 -.94 -.39 -.16 -.08
1894 -.62 -.63 -.19 -.47 -.5 -.31 -.3 -.32 -.55 -.08 -.05 -.03 -.34 -.38 -.58 -.39 -.31 -.23
1895 -.53 -.88 -.48 -.5 -.26 -.24 -.62 -.22 -.17 -.02 -.01 -.01 -.33 -.33 -.48 -.41 -.36 -.07
1896 .03 -.22 -.47 -.42 -.48 -.38 -.3 -.47 -.22 .14 -.38 -.12 -.27 -.27 -.07 -.46 -.38 -.15
1897 -.13 -.26 -.33 .09 -.06 -.27 .15 -.26 -.23 -.43 -.03 -.06 -.15 -.16 -.17 -.1 -.13 -.23
1898 .23 -.32 -.57 -.34 -.53 -.23 -.08 .11 .02 -.44 -.31 -.17 -.22 -.21 -.05 -.48 -.07 -.24
1899 -.43 -.37 -.15 -.32 -.51 -.26 -.34 -.28 -.03 -.3 .11 -.15 -.25 -.25 -.32 -.33 -.29 -.07
1900 -.43 -.06 .01 -.07 .04 .13 -.18 -.13 -.08 .17 -.09 -.05 -.06 -.07 -.21 -.01 -.06 .0
1901 -.15 -.08 -.05 .07 -.02 .12 -.27 -.06 .05 -.04 -.08 -.18 -.06 -.05 -.09 .0 -.07 -.02
1902 -.29 -.03 -.06 -.18 -.28 -.28 -.32 -.47 -.44 -.38 -.41 -.52 -.3 -.28 -.17 -.17 -.36 -.41
1903 -.27 -.13 -.07 -.48 -.38 -.6 -.23 -.38 -.44 -.51 -.46 -.41 -.36 -.37 -.31 -.31 -.4 -.47
1904 -.54 -.61 -.31 -.3 -.6 -.47 -.61 -.36 -.45 -.43 -.2 -.25 -.43 -.44 -.52 -.4 -.48 -.36
1905 -.41 -.86 -.16 -.15 -.12 -.22 -.33 -.23 -.28 -.35 .09 -.17 -.27 -.27 -.5 -.14 -.26 -.18
1906 -.23 -.24 -.41 .11 -.17 -.06 -.09 -.08 -.28 -.04 -.31 -.06 -.16 -.17 -.22 -.15 -.08 -.21
1907 -.38 -.51 -.34 -.4 -.47 -.45 -.29 -.43 -.3 -.26 -.5 -.6 -.41 -.37 -.32 -.4 -.39 -.35
1908 -.32 -.17 -.48 -.33 -.18 -.32 -.2 -.28 -.14 -.41 -.59 -.33 -.31 -.33 -.36 -.33 -.26 -.38
1909 -.71 -.43 -.43 -.57 -.41 -.2 -.19 -.12 -.21 -.09 -.06 -.45 -.32 -.31 -.49 -.47 -.17 -.12
1910 -.27 -.17 -.37 -.08 -.13 -.27 -.09 -.09 .01 -.25 -.41 -.59 -.23 -.21 -.29 -.19 -.15 -.22
1911 -.55 -.53 -.5 -.4 -.25 -.3 -.09 -.19 -.16 -.17 .02 -.19 -.27 -.31 -.55 -.38 -.19 -.1
1912 -.13 -.12 -.45 -.21 -.19 -.23 -.41 -.58 -.44 -.47 -.5 -.29 -.34 -.33 -.15 -.28 -.41 -.47
1913 -.36 -.49 -.45 -.18 -.61 -.53 -.25 -.21 -.18 -.21 -.05 .04 -.29 -.32 -.38 -.41 -.33 -.14
1914 .17 .01 .07 -.19 .01 -.04 -.08 -.01 -.05 .12 -.21 -.15 -.03 -.01 .07 -.03 -.04 -.05
1915 -.08 .14 .03 .08 .01 -.02 .18 -.03 .13 .01 .15 -.05 .05 .04 -.03 .04 .04 .1
1916 .02 -.04 -.34 -.19 -.21 -.25 -.21 -.03 -.11 -.15 -.36 -.73 -.22 -.16 -.02 -.25 -.17 -.2
1917 -.5 -.72 -.7 -.47 -.72 -.41 .16 -.34 -.31 -.45 -.33 -.88 -.47 -.46 -.65 -.63 -.2 -.36
1918 -.55 -.48 -.44 -.41 -.63 -.25 -.42 -.4 -.15 .04 -.19 -.24 -.34 -.4 -.63 -.49 -.36 -.1
1919 -.24 -.15 -.06 -.04 -.04 -.02 .05 -.04 -.13 .06 -.33 -.25 -.1 -.1 -.21 -.05 .0 -.13
1920 -.01 -.17 -.1 .02 -.21 -.23 .01 -.08 -.15 -.37 -.25 -.42 -.16 -.15 -.14 -.1 -.1 -.26
1921 .13 -.12 -.02 .0 -.11 .05 .13 -.31 -.08 -.05 -.2 -.12 -.06 -.08 -.14 -.04 -.04 -.11
1922 -.28 -.3 -.19 .11 -.24 -.17 .11 -.13 -.04 -.14 -.01 -.04 -.11 -.12 -.23 -.11 -.06 -.06
1923 -.16 -.18 -.14 -.35 -.14 -.21 -.37 -.26 -.26 -.01 .05 .05 -.16 -.17 -.13 -.21 -.28 -.07
1924 -.23 -.35 -.04 -.33 -.15 -.05 .01 -.03 .05 -.08 -.02 -.22 -.12 -.1 -.17 -.17 -.02 -.02
1925 -.32 -.3 -.2 -.05 -.23 -.29 -.26 -.03 -.29 -.23 .07 .27 -.16 -.2 -.28 -.16 -.19 -.15
1926 .28 .33 .2 -.02 -.21 -.11 -.05 .09 .07 -.07 .12 -.22 .03 .07 .29 -.01 -.02 .04
1927 -.1 -.11 -.27 -.23 -.17 -.15 .07 -.19 .01 .25 .26 -.14 -.07 -.07 -.14 -.22 -.09 .17
1928 .15 .12 .0 .02 -.31 -.43 .02 .04 .09 .0 .12 .05 -.01 -.03 .04 -.1 -.12 .07
1929 -.26 -.38 -.29 -.32 -.29 -.31 -.24 -.27 -.16 .1 .08 -.49 -.24 -.19 -.2 -.3 -.27 .0
1930 -.18 -.01 .06 -.16 .0 -.14 -.01 -.05 -.12 -.13 .22 .03 -.04 -.08 -.22 -.03 -.07 -.01
1931 -.02 -.2 .06 -.12 -.08 .08 .21 .19 -.08 .12 -.03 .2 .03 .01 -.06 -.05 .16 .0
1932 .51 -.1 -.03 .22 -.02 -.31 -.05 -.09 .14 .19 .0 -.06 .03 .06 .2 .06 -.15 .11
1933 -.2 -.08 -.08 -.07 -.05 -.12 .03 -.13 -.02 .01 -.27 -.41 -.12 -.09 -.11 -.07 -.08 -.09
1934 -.02 .07 -.19 -.23 .17 -.03 .17 .18 .0 .05 .16 .2 .05 -.01 -.12 -.08 .11 .07
1935 -.2 .34 .21 -.33 -.15 -.07 -.08 -.16 -.32 .04 -.18 -.07 -.08 -.06 .12 -.09 -.1 -.16
1936 -.14 -.3 -.08 .09 -.21 -.06 .33 .09 .05 .08 .1 .17 .01 -.01 -.17 -.07 .12 .08
1937 .01 .16 -.08 -.03 .11 .09 .04 .12 .28 .28 .36 .04 .11 .12 .11 .0 .08 .31
1938 .1 .12 .3 .37 .17 -.04 .11 -.02 .12 .4 .17 -.04 .15 .15 .09 .28 .02 .23
1939 .07 -.03 -.25 -.07 .1 .01 -.02 -.19 -.09 -.07 -.11 .41 -.02 -.06 .0 -.07 -.07 -.09
1940 -.14 .11 .13 .09 .12 .22 .33 .12 .18 .06 .09 .29 .13 .14 .12 .11 .23 .11
1941 .13 .23 -.01 .07 .11 .19 .36 .12 -.17 .15 .02 .12 .11 .13 .22 .06 .22 .0
1942 .29 .04 .02 .04 .09 .09 .12 .1 .1 .01 .19 .13 .1 .1 .15 .05 .1 .1
1943 -.14 .14 -.09 .08 -.04 -.09 .18 -.2 .09 .34 .14 .28 .06 .05 .04 -.01 -.04 .19
1944 .4 .2 .15 .0 -.04 -.06 .11 .12 .26 .26 .07 -.09 .12 .15 .29 .03 .06 .2
1945 .08 -.07 .04 .22 -.24 -.22 -.13 .3 .1 .09 -.01 -.26 -.01 .01 -.03 .01 -.02 .06
1946 .08 .06 -.08 .14 .12 -.08 .14 -.04 .05 -.11 .01 -.22 .0 .0 -.04 .06 .0 -.02
1947 .0 .13 .23 .19 .07 .04 .09 .08 .04 .28 .26 -.07 .11 .1 -.03 .17 .07 .2
1948 .26 -.06 -.21 -.06 .06 .14 -.08 -.14 -.03 .01 -.14 -.13 -.03 -.03 .05 -.07 -.03 -.05
1949 .1 -.27 -.09 -.25 -.1 -.17 .0 -.11 -.02 .03 -.06 -.11 -.09 -.09 -.1 -.15 -.1 -.02
1950 -.22 -.26 -.06 -.18 -.2 -.07 -.06 -.27 -.12 -.15 -.33 -.12 -.17 -.17 -.2 -.15 -.13 -.2
1951 -.35 -.42 -.13 -.02 .09 -.08 -.06 .16 .04 .11 .09 .23 -.03 -.06 -.3 -.02 .0 .08
1952 .16 .16 -.08 -.01 -.08 -.01 .13 .17 .16 .02 -.15 .0 .04 .06 .18 -.06 .1 .01
1953 .13 .11 .21 .21 .07 .08 .03 .17 .12 .09 .07 .23 .13 .11 .08 .16 .1 .1
1954 -.26 -.04 -.06 -.11 -.16 -.15 -.21 -.17 -.17 .04 .23 -.07 -.09 -.07 -.02 -.11 -.18 .03
1955 .26 -.06 -.33 -.13 -.13 -.15 -.09 .03 -.1 .05 -.2 -.24 -.09 -.08 .05 -.2 -.07 -.08
1956 -.16 -.25 -.26 -.22 -.23 -.06 -.06 -.31 -.07 -.19 -.16 -.14 -.17 -.18 -.22 -.23 -.14 -.14
1957 -.1 .0 .01 .16 .12 .19 -.07 .15 .14 .02 .19 .23 .09 .05 -.08 .09 .09 .12
1958 .44 .26 .2 .14 .1 -.15 .15 -.08 -.07 .11 .11 -.07 .1 .12 .31 .15 -.03 .05
1959 .04 .06 .25 .14 -.01 .11 .09 .0 -.15 -.05 -.08 .09 .04 .03 .01 .13 .07 -.09
1960 .05 .28 -.45 -.22 -.14 -.06 -.1 .1 .06 .12 -.1 .2 -.02 -.03 .14 -.27 -.02 .03
1961 .1 .22 .06 .09 .23 .12 .01 .05 .18 .17 .08 -.14 .1 .13 .17 .13 .06 .14
1962 .06 .21 .1 .13 -.11 .1 -.11 -.07 .07 .05 .13 .03 .05 .04 .04 .04 -.03 .08
1963 -.02 .25 -.2 -.21 -.13 .03 .09 .22 .32 .07 .05 .0 .04 .04 .09 -.18 .11 .15
1964 -.05 -.16 -.29 -.37 -.38 -.13 -.01 -.27 -.39 -.31 -.18 -.33 -.24 -.21 -.07 -.35 -.14 -.29
1965 -.02 -.16 -.1 -.26 -.09 -.1 -.26 -.06 -.2 -.09 -.13 -.19 -.14 -.15 -.17 -.15 -.14 -.14
1966 -.22 -.07 .12 -.13 -.1 -.05 .11 -.08 -.05 -.25 -.04 -.08 -.07 -.08 -.16 -.04 -.01 -.11
1967 -.06 -.27 .01 -.07 .14 -.13 .06 .02 .03 .16 .01 -.01 -.01 -.02 -.14 .03 -.01 .06
1968 -.18 -.16 .24 -.1 -.15 -.08 -.12 -.07 -.27 .06 -.08 -.24 -.1 -.08 -.12 .0 -.09 -.09
1969 -.19 -.27 -.13 .15 .12 .1 -.09 -.07 .01 .05 .07 .32 .01 -.04 -.23 .04 -.02 .04
1970 .08 .28 .09 .04 -.07 .09 .06 -.1 .16 .06 .01 -.13 .05 .08 .23 .02 .02 .07
1971 -.06 -.16 -.23 -.09 -.11 -.26 -.1 .05 .01 -.03 -.12 -.13 -.1 -.1 -.12 -.14 -.1 -.05
1972 -.35 -.33 -.08 -.07 -.05 .06 .01 .2 .05 -.09 -.09 .12 -.05 -.07 -.27 -.07 .09 -.04
1973 .23 .31 .31 .34 .28 .23 .17 .05 .08 .17 .07 -.05 .18 .2 .22 .31 .15 .11
1974 -.07 -.26 -.04 -.11 .0 .0 .0 .12 -.13 -.06 -.08 -.05 -.06 -.06 -.13 -.05 .04 -.09
1975 .05 .04 .14 .0 .27 .02 -.02 -.23 -.05 -.08 -.15 -.24 -.02 -.01 .01 .14 -.08 -.1
1976 -.07 -.13 -.37 -.26 -.27 -.22 -.21 -.26 -.18 -.4 -.23 -.07 -.22 -.24 -.15 -.3 -.23 -.27
1977 .1 .21 .23 .24 .3 .27 .24 .27 -.14 -.09 .15 .07 .15 .14 .08 .26 .26 -.03
1978 .06 .14 .22 .21 .17 -.03 .15 -.24 .09 -.03 .05 .03 .07 .07 .09 .2 -.04 .04
1979 .11 -.14 .2 .19 -.08 .13 -.02 .05 .17 .19 .24 .46 .12 .09 .0 .1 .05 .2
1980 .3 .35 .35 .35 .42 .14 .26 .22 .28 .13 .25 .16 .27 .29 .37 .38 .2 .22
1981 .59 .54 .59 .45 .27 .34 .51 .55 .23 .07 .19 .43 .4 .37 .43 .44 .47 .16
1982 .08 .2 -.1 .03 .28 .04 .15 .0 -.03 -.02 .1 .34 .09 .1 .24 .07 .06 .02
1983 .45 .39 .38 .34 .46 .26 .19 .51 .49 .19 .3 .17 .34 .36 .39 .39 .32 .33
1984 .2 .08 .31 .08 .48 -.08 .2 .23 .22 .17 .07 -.04 .16 .18 .15 .29 .12 .15
1985 .26 -.01 .21 .14 .09 .2 .02 .35 .18 .08 .01 .08 .14 .13 .07 .15 .19 .09
1986 .3 .49 .31 .32 .18 .08 .1 .18 .01 .04 .03 .12 .18 .18 .29 .27 .12 .03
1987 .35 .5 .23 .38 .25 .44 .48 .11 .28 .31 .29 .48 .34 .31 .32 .29 .35 .29
1988 .6 .38 .6 .42 .57 .52 .34 .36 .45 .46 .08 .28 .42 .44 .49 .53 .41 .33
1989 .13 .36 .31 .26 .1 .11 .37 .46 .48 .3 .11 .34 .28 .27 .26 .22 .31 .3
1990 .47 .38 .85 .63 .45 .41 .62 .4 .19 .53 .56 .43 .49 .49 .4 .64 .48 .43
1991 .43 .48 .4 .62 .35 .63 .67 .51 .43 .25 .23 .26 .44 .45 .45 .46 .61 .3
1992 .45 .42 .47 .21 .16 .26 .01 .08 -.15 -.05 -.1 .16 .16 .17 .38 .28 .11 -.1
1993 .31 .3 .37 .26 .21 .09 .18 .16 .01 .18 .03 .09 .18 .19 .26 .28 .14 .07
1994 .37 .08 .24 .35 .21 .53 .31 .12 .46 .4 .34 .33 .31 .29 .18 .26 .32 .4
1995 .44 .73 .42 .48 .18 .33 .7 .43 .36 .57 .42 .29 .45 .45 .5 .36 .49 .45
1996 .33 .43 .35 .19 .27 .17 .48 .49 .29 .28 .39 .37 .34 .33 .35 .27 .38 .32
1997 .38 .48 .52 .3 .26 .48 .2 .32 .26 .36 .5 .5 .38 .37 .41 .36 .33 .37
1998 .59 .93 .69 .8 .76 .71 .8 .71 .43 .53 .53 .69 .68 .66 .67 .75 .74 .5
1999 .5 .71 .27 .35 .28 .43 .37 .43 .38 .4 .34 .34 .4 .43 .63 .3 .41 .38
2000 .1 .61 .39 .57 .31 .51 .41 .18 .45 .11 .24 .3 .35 .35 .35 .43 .36 .27
2016 version :
GLOBAL Temperature Anomalies in deg C base period: 1951-1980
sources: GHCN-v3 1880-01/2016 (meteorological stations only)
using elimination of outliers and homogeneity adjustment
Notes: 1941 DJF = Dec 1940 - Feb 1941 ; ***** = missing
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec J-D D-N DJF MAM JJA SON
1880 -.75 -.32 -.4 -.59 -.29 -.42 -.4 .14 -.42 -.6 -.44 -.45 -.41 * * -.43 -.22 -.49
1881 -.69 -.54 -.28 -.2 .03 -1.05 -.46 -.18 -.3 -.42 -.5 -.08 -.39 -.42 -.56 -.15 -.56 -.41
1882 .17 -.06 -.03 -.53 -.32 -.97 -.64 -.06 -.02 -.26 -.34 -.61 -.3 -.26 .01 -.29 -.56 -.2
1883 -.62 -.89 -.4 -.26 -.3 .5 .06 -.09 -.39 -.51 -.63 -.32 -.32 -.34 -.7 -.32 .16 -.51
1884 -.53 -.28 -.34 -.88 -1.14 -.76 -.78 .21 -.3 -.71 -.75 -.92 -.6 -.55 -.38 -.78 -.44 -.59
1885 -.86 -.73 -.85 -.81 -.44 -.88 -.54 -.11 -.09 .02 -.33 .08 -.46 -.55 -.84 -.7 -.51 -.13
1886 -.71 -.77 -.63 -.55 -.5 -.78 -.33 -.69 -.36 -.81 -.44 -.68 -.6 -.54 -.47 -.56 -.6 -.54
1887 -.79 -1.19 -.51 -.77 -.79 -.6 -.33 -.19 -.56 -.47 -.85 -.58 -.64 -.64 -.89 -.69 -.37 -.62
1888 -.74 -.79 -.84 -.26 -.7 -.51 -.29 -.32 -.36 -.26 -.07 -.19 -.44 -.48 -.7 -.6 -.37 -.23
1889 -.28 .18 .08 .15 .09 -.23 -.42 -.6 -.36 -.2 -.43 -.38 -.2 -.18 -.09 .11 -.42 -.33
1890 -.56 -.6 -.6 -.53 -.91 -.55 -.58 -.59 -.32 -.25 -.73 -.49 -.56 -.55 -.51 -.68 -.57 -.43
1891 -.94 -1.03 -.51 -.67 -.48 -.55 -.71 -.57 -.49 -.57 -.55 .04 -.59 -.63 -.82 -.55 -.61 -.54
1892 -.6 -.29 -.58 -.69 -.64 -.55 -.33 -.23 -.44 -.31 -.6 -.57 -.49 -.43 -.28 -.64 -.37 -.45
1893 -1.4 -.97 -.57 -.63 -.71 -.65 -.11 -.33 -.24 -.07 -.12 -.35 -.51 -.53 -.98 -.64 -.36 -.14
1894 -.83 -.6 -.39 -.62 -.64 -.47 -.35 -.28 -.42 -.07 -.14 -.15 -.41 -.43 -.59 -.55 -.37 -.21
1895 -.67 -.77 -.49 -.45 -.29 -.27 -.49 -.18 -.11 -.07 -.14 -.05 -.33 -.34 -.53 -.41 -.31 -.1
1896 -.21 -.27 -.51 -.46 -.44 -.45 -.19 -.35 -.08 .02 -.43 -.19 -.3 -.28 -.18 -.47 -.33 -.16
1897 -.23 -.49 -.31 -.1 -.26 -.17 -.1 -.31 -.14 -.21 -.02 -.24 -.22 -.21 -.31 -.23 -.19 -.12
1898 -.11 -.45 -.81 -.58 -.64 -.3 -.36 -.26 -.05 -.42 -.47 -.21 -.39 -.39 -.27 -.68 -.31 -.32
1899 -.43 -.6 -.4 -.26 -.42 -.55 -.3 -.29 -.02 -.29 -.03 -.22 -.32 -.32 -.41 -.36 -.38 -.12
1900 -.54 -.03 -.18 -.17 -.16 -.12 -.34 -.17 -.07 .16 -.11 -.06 -.15 -.16 -.26 -.17 -.21 .0
1901 -.23 -.11 -.12 -.09 -.23 .01 -.24 -.2 .03 -.18 -.14 -.21 -.14 -.13 -.13 -.15 -.15 -.09
1902 -.32 -.04 -.19 -.2 -.32 -.39 -.47 -.52 -.41 -.47 -.5 -.56 -.37 -.34 -.19 -.24 -.46 -.46
1903 -.36 -.15 -.19 -.57 -.47 -.65 -.32 -.44 -.43 -.5 -.49 -.63 -.43 -.43 -.36 -.41 -.47 -.47
1904 -.8 -.76 -.57 -.46 -.66 -.49 -.62 -.51 -.45 -.53 -.26 -.4 -.54 -.56 -.73 -.56 -.54 -.41
1905 -.43 -1.0 -.25 -.32 -.37 -.33 -.44 -.31 -.25 -.38 -.09 -.27 -.37 -.38 -.61 -.31 -.36 -.24
1906 -.19 -.38 -.37 .04 -.21 -.23 -.22 -.19 -.3 -.19 -.55 -.27 -.26 -.26 -.28 -.18 -.21 -.35
1907 -.51 -.69 -.47 -.63 -.61 -.67 -.42 -.57 -.4 -.34 -.61 -.66 -.55 -.52 -.49 -.57 -.55 -.45
1908 -.38 -.33 -.54 -.47 -.34 -.44 -.4 -.42 -.18 -.43 -.61 -.42 -.41 -.43 -.46 -.45 -.42 -.41
1909 -.79 -.6 -.51 -.62 -.59 -.42 -.35 -.11 -.21 -.19 -.18 -.54 -.43 -.42 -.6 -.57 -.29 -.19
1910 -.48 -.4 -.47 -.33 -.28 -.35 -.22 -.14 -.1 -.3 -.53 -.67 -.36 -.35 -.47 -.36 -.24 -.31
1911 -.66 -.67 -.61 -.52 -.39 -.38 -.18 -.26 -.26 -.17 -.14 -.26 -.38 -.41 -.67 -.51 -.27 -.19
1912 -.21 -.14 -.43 -.3 -.21 -.26 -.49 -.62 -.35 -.47 -.45 -.32 -.36 -.35 -.2 -.31 -.46 -.43
1913 -.43 -.49 -.59 -.32 -.63 -.6 -.23 -.2 -.19 -.29 -.16 .04 -.34 -.37 -.41 -.51 -.34 -.21
1914 .15 -.04 -.05 -.19 -.03 -.07 -.21 -.08 -.08 .14 -.32 -.21 -.08 -.06 .05 -.09 -.12 -.09
1915 -.18 .04 -.09 -.03 -.21 -.19 .06 -.18 .03 -.08 .06 -.1 -.07 -.08 -.12 -.11 -.1 .0
1916 -.1 -.12 -.43 -.29 -.35 -.47 -.34 -.11 -.15 -.15 -.39 -.78 -.31 -.25 -.11 -.36 -.31 -.23
1917 -.52 -.73 -.81 -.54 -.8 -.45 .02 -.38 -.31 -.47 -.34 -.91 -.52 -.51 -.68 -.72 -.27 -.37
1918 -.63 -.61 -.51 -.55 -.76 -.42 -.47 -.47 -.19 .03 -.26 -.33 -.43 -.48 -.72 -.61 -.45 -.14
1919 -.28 -.27 -.14 -.15 -.17 -.17 -.07 -.08 -.21 -.05 -.42 -.29 -.19 -.2 -.29 -.16 -.11 -.23
1920 -.12 -.32 -.25 -.21 -.37 -.37 -.2 -.18 -.19 -.43 -.33 -.47 -.29 -.27 -.24 -.27 -.25 -.32
1921 -.03 -.2 -.12 -.2 -.21 -.11 .02 -.45 -.16 -.12 -.3 -.18 -.17 -.2 -.23 -.18 -.18 -.19
1922 -.41 -.45 -.32 -.12 -.42 -.32 -.07 -.27 -.17 -.27 -.12 -.17 -.26 -.26 -.35 -.28 -.22 -.19
1923 -.29 -.24 -.23 -.52 -.34 -.32 -.51 -.38 -.31 -.12 -.03 -.06 -.28 -.29 -.23 -.36 -.4 -.15
1924 -.26 -.42 -.15 -.51 -.29 -.17 -.17 -.17 -.1 -.16 -.08 -.3 -.23 -.21 -.25 -.32 -.17 -.11
1925 -.45 -.39 -.3 -.18 -.37 -.43 -.41 -.11 -.3 -.34 -.03 .18 -.26 -.3 -.38 -.28 -.32 -.22
1926 .24 .29 .2 -.12 -.38 -.23 -.17 .01 .01 -.14 .01 -.27 -.05 -.01 .24 -.1 -.13 -.04
1927 -.19 -.17 -.37 -.37 -.31 -.28 -.09 -.29 -.12 .15 .08 -.25 -.19 -.19 -.21 -.35 -.22 .04
1928 .03 -.01 -.12 -.13 -.4 -.54 -.05 -.05 .02 -.05 .06 -.07 -.11 -.12 -.08 -.22 -.21 .01
1929 -.29 -.48 -.38 -.44 -.42 -.43 -.38 -.39 -.21 .0 -.08 -.6 -.34 -.3 -.28 -.41 -.4 -.1
1930 -.23 -.19 -.07 -.21 -.17 -.23 -.2 -.2 -.15 -.29 .09 -.08 -.16 -.2 -.34 -.15 -.21 -.12
1931 -.13 -.27 -.07 -.28 -.18 -.09 .07 .08 -.18 .06 -.15 .08 -.09 -.1 -.16 -.18 .02 -.09
1932 .36 -.27 -.22 .03 -.23 -.47 -.23 -.2 .01 .06 -.11 -.17 -.12 -.1 .06 -.14 -.3 -.01
1933 -.33 -.25 -.22 -.19 -.15 -.27 -.14 -.21 -.12 -.08 -.39 -.54 -.24 -.21 -.25 -.19 -.21 -.2
1934 -.16 -.12 -.36 -.37 -.03 -.2 -.01 .03 -.09 -.07 .04 .11 -.1 -.16 -.27 -.25 -.06 -.04
1935 -.32 .21 .02 -.49 -.35 -.23 -.26 -.23 -.4 -.06 -.34 -.17 -.22 -.2 .0 -.28 -.24 -.27
1936 -.31 -.46 -.2 -.05 -.3 -.15 .22 .02 .0 .03 .04 .07 -.09 -.11 -.31 -.18 .03 .02
1937 -.1 .04 -.21 -.2 -.04 -.04 -.09 .04 .23 .18 .27 -.07 .0 .01 .0 -.15 -.03 .23
1938 .0 .02 .2 .24 .08 -.11 .01 -.07 .09 .32 .1 -.11 .07 .07 -.02 .18 -.06 .17
1939 -.01 -.14 -.36 -.17 .0 -.08 -.12 -.26 -.11 -.09 -.15 .35 -.1 -.13 -.09 -.18 -.15 -.12
1940 -.19 .08 .12 .01 .04 .15 .2 .08 .16 .04 .04 .22 .08 .09 .08 .06 .14 .08
1941 .02 .21 -.13 -.01 .08 .12 .27 .04 -.2 .09 -.05 .02 .04 .06 .15 -.02 .14 -.05
1942 .23 -.02 -.03 -.02 .02 .07 .06 .09 .07 -.01 .11 .07 .05 .05 .08 -.01 .07 .06
1943 -.19 .06 -.15 .02 -.1 -.1 .1 -.17 .05 .28 .09 .21 .01 .0 -.02 -.08 -.06 .14
1944 .33 .13 .1 -.07 -.07 -.11 .02 .05 .22 .22 .01 -.16 .06 .09 .22 -.01 -.01 .15
1945 .02 -.11 -.01 .12 -.27 -.29 -.22 .2 .04 .03 -.07 -.34 -.08 -.06 -.09 -.06 -.11 .0
1946 .02 -.03 -.15 .04 .02 -.15 .03 -.11 .0 -.17 -.07 -.27 -.07 -.08 -.12 -.03 -.08 -.08
1947 -.08 .06 .21 .14 -.01 -.04 .02 .01 .02 .25 .23 -.13 .06 .05 -.1 .12 .0 .16
1948 .22 -.14 -.28 -.13 -.02 .05 -.16 -.19 -.03 -.03 -.18 -.16 -.09 -.09 -.02 -.14 -.1 -.08
1949 .05 -.35 -.08 -.26 -.2 -.23 -.09 -.14 -.07 .0 -.07 -.13 -.13 -.13 -.15 -.18 -.16 -.04
1950 -.28 -.34 -.09 -.24 -.24 -.14 -.13 -.35 -.19 -.21 -.39 -.18 -.23 -.23 -.25 -.19 -.21 -.26
1951 -.37 -.46 -.17 -.06 .06 -.12 -.11 .1 .0 .05 .01 .15 -.08 -.1 -.34 -.05 -.04 .02
1952 .09 .12 -.17 -.07 -.13 -.1 .04 .09 .13 -.03 -.21 -.04 -.02 -.01 .12 -.12 .01 -.04
1953 .11 .07 .15 .1 -.03 .01 -.03 .1 .08 .06 .02 .15 .07 .05 .04 .07 .03 .05
1954 -.29 -.08 -.12 -.15 -.2 -.21 -.26 -.17 -.17 .01 .18 -.1 -.13 -.11 -.07 -.16 -.22 .01
1955 .24 -.09 -.36 -.16 -.14 -.17 -.13 .14 -.12 .02 -.25 -.28 -.11 -.09 .02 -.22 -.05 -.11
1956 -.23 -.31 -.32 -.26 -.27 -.1 -.1 -.32 -.1 -.22 -.21 -.18 -.22 -.23 -.27 -.28 -.17 -.18
1957 -.13 -.06 -.08 .03 -.01 .15 -.09 .2 .13 -.01 .15 .18 .04 .01 -.12 -.02 .08 .09
1958 .38 .23 .17 .1 .11 -.2 .04 -.13 -.1 .07 .07 -.08 .05 .08 .26 .13 -.1 .01
1959 .03 .07 .25 .19 -.01 .09 .08 .0 -.12 -.1 -.1 .1 .04 .02 .01 .14 .06 -.11
1960 .08 .26 -.47 -.21 -.15 -.02 -.12 .08 .07 .13 -.1 .18 -.02 -.03 .15 -.28 -.02 .03
1961 .09 .23 .04 .14 .19 .08 -.01 .04 .16 .08 .07 -.14 .08 .11 .17 .12 .04 .1
1962 .07 .16 .09 .06 -.11 .04 -.12 -.08 -.01 .0 .08 .0 .01 .0 .03 .01 -.06 .02
1963 -.02 .22 -.24 -.19 -.14 .01 .06 .15 .21 .07 .05 -.07 .01 .02 .07 -.19 .07 .11
1964 -.07 -.17 -.3 -.37 -.35 -.16 -.08 -.33 -.36 -.34 -.21 -.34 -.26 -.23 -.1 -.34 -.19 -.31
1965 -.06 -.18 -.13 -.29 -.16 -.18 -.24 -.09 -.24 -.11 -.13 -.2 -.17 -.18 -.19 -.19 -.17 -.16
1966 -.25 -.04 .12 -.11 -.09 -.02 .1 -.13 -.05 -.27 -.07 -.08 -.07 -.08 -.16 -.03 -.02 -.13
1967 -.09 -.25 .01 -.1 .15 -.12 .04 .03 -.01 .11 .01 -.01 -.02 -.02 -.14 .02 -.02 .04
1968 -.2 -.16 .32 -.09 -.18 -.1 -.12 -.09 -.29 .05 -.08 -.22 -.1 -.08 -.12 .02 -.1 -.11
1969 -.17 -.26 -.09 .1 .13 .02 -.03 -.1 .01 .06 .08 .34 .01 -.04 -.22 .05 -.04 .05
1970 .05 .27 .11 .12 -.06 .14 .08 -.07 .15 .1 .03 -.11 .07 .1 .22 .05 .05 .09
1971 -.03 -.15 -.21 -.06 -.07 -.21 -.11 .03 .04 -.03 -.12 -.06 -.08 -.08 -.1 -.11 -.09 -.04
1972 -.32 -.31 -.06 -.07 -.01 .08 .05 .19 .06 -.04 -.07 .14 -.03 -.05 -.23 -.05 .11 -.02
1973 .25 .32 .36 .35 .35 .3 .22 .07 .12 .21 .1 -.02 .22 .23 .24 .35 .2 .14
1974 -.04 -.22 .0 -.07 .03 .04 -.01 .14 -.15 -.06 -.06 -.04 -.04 -.03 -.09 -.01 .06 -.09
1975 .09 .1 .16 .05 .28 .07 .08 -.25 -.01 -.03 -.06 -.22 .02 .04 .05 .16 -.03 -.03
1976 -.01 -.07 -.3 -.22 -.24 -.17 -.14 -.22 -.15 -.37 -.17 -.03 -.17 -.19 -.1 -.25 -.18 -.23
1977 .13 .23 .31 .31 .31 .33 .3 .31 -.08 .01 .25 .15 .21 .2 .11 .31 .31 .06
1978 .13 .18 .28 .25 .21 .06 .2 -.16 .17 .05 .17 .11 .14 .14 .16 .24 .03 .13
1979 .18 -.09 .24 .2 .08 .23 .04 .13 .29 .28 .31 .54 .2 .17 .07 .17 .13 .29
1980 .36 .45 .42 .46 .47 .23 .37 .33 .35 .23 .28 .17 .34 .37 .45 .45 .31 .29
1981 .61 .57 .68 .5 .31 .39 .51 .52 .29 .13 .25 .49 .44 .41 .45 .5 .48 .22
1982 .13 .26 -.02 .02 .25 .03 .19 .09 .1 .02 .11 .4 .13 .14 .29 .08 .1 .08
1983 .5 .41 .47 .4 .49 .29 .21 .48 .57 .32 .33 .17 .39 .41 .44 .45 .33 .41
1984 .25 .16 .38 .17 .48 .05 .18 .28 .27 .23 .1 .03 .22 .23 .2 .34 .17 .2
1985 .31 .05 .26 .19 .23 .28 .06 .35 .26 .16 .1 .16 .2 .19 .13 .23 .23 .17
1986 .38 .5 .37 .42 .32 .15 .15 .19 .01 .12 .11 .2 .24 .24 .34 .37 .17 .08
1987 .43 .53 .24 .39 .29 .55 .59 .25 .35 .35 .3 .56 .4 .37 .39 .31 .46 .33
1988 .66 .48 .56 .49 .62 .58 .44 .55 .54 .51 .14 .35 .49 .51 .56 .55 .53 .4
1989 .28 .45 .46 .42 .22 .18 .46 .51 .53 .44 .21 .38 .38 .38 .36 .37 .38 .39
1990 .51 .42 .86 .62 .52 .46 .62 .43 .3 .52 .52 .46 .52 .51 .43 .67 .5 .45
1991 .48 .61 .47 .71 .43 .7 .63 .56 .61 .34 .32 .34 .52 .53 .52 .54 .63 .43
1992 .5 .43 .54 .23 .26 .29 .08 .14 -.06 .07 .02 .25 .23 .24 .42 .34 .17 .01
1993 .38 .41 .34 .3 .27 .26 .38 .22 .1 .22 .09 .21 .27 .27 .35 .3 .29 .14
1994 .39 .08 .25 .52 .25 .56 .4 .23 .44 .41 .51 .43 .37 .35 .23 .34 .4 .45
1995 .56 .89 .5 .58 .38 .51 .63 .58 .46 .67 .52 .4 .56 .56 .63 .49 .57 .55
1996 .41 .6 .45 .48 .34 .33 .55 .77 .41 .33 .49 .52 .47 .46 .47 .42 .55 .41
1997 .47 .54 .65 .38 .42 .66 .34 .43 .5 .6 .71 .69 .53 .52 .51 .48 .48 .6
1998 .71 1.19 .82 .83 .94 1.04 .91 .87 .6 .68 .65 .81 .84 .83 .87 .87 .94 .64
1999 .68 .87 .48 .43 .49 .63 .65 .55 .67 .63 .58 .53 .6 .62 .79 .47 .61 .63
2000 .31 .79 .69 .76 .56 .69 .63 .6 .57 .34 .48 .47 .57 .58 .54 .67 .64 .46
2001 .59 .64 .69 .62 .73 .66 .71 .66 .7 .62 .84 .73 .68 .66 .57 .68 .67 .72
2002 .97 .91 1.12 .8 .87 .66 .82 .69 .82 .64 .69 .54 .79 .81 .87 .93 .72 .71
2003 .91 .74 .71 .69 .87 .64 .65 .86 .83 .89 .66 .85 .77 .75 .73 .76 .72 .79
2004 .71 .92 .85 .76 .48 .64 .24 .58 .59 .83 .87 .67 .68 .69 .83 .7 .49 .76
2005 .97 .88 .93 .84 .75 .82 .8 .75 .96 .99 .9 .89 .87 .85 .84 .84 .79 .95
2006 .74 .93 .81 .67 .5 .77 .68 .83 .72 .84 .87 .93 .77 .77 .85 .66 .76 .81
2007 1.23 .92 .91 .93 .94 .66 .78 .86 .82 .8 .69 .7 .85 .87 1.02 .93 .77 .77
2008 .49 .44 .91 .66 .57 .52 .72 .4 .8 .74 .8 .72 .65 .64 .54 .71 .54 .78
2009 .75 .76 .65 .75 .79 .82 .86 .86 .91 .73 .85 .75 .79 .79 .74 .73 .85 .83
2010 .95 1.04 1.13 1.01 .96 .86 .74 .83 .88 .96 1.0 .7 .92 .93 .92 1.03 .81 .94
2011 .73 .66 .77 .84 .65 .74 .91 .96 .78 .85 .78 .79 .79 .78 .7 .75 .87 .8
2012 .61 .58 .71 .8 .96 .71 .58 .86 .9 .95 .94 .72 .78 .78 .66 .82 .72 .93
2013 .98 .78 .86 .67 .68 .88 .66 .79 .99 .86 .87 .84 .82 .81 .82 .73 .78 .91
2014 .95 .64 .8 .89 1.04 .77 .73 .86 1.07 1.04 .82 .97 .88 .87 .81 .91 .79 .98
2015 .94 1.07 1.1 .79 .88 .86 .77 .86 .81 1.18 1.21 1.42 .99 .95 1.0 .92 .83 1.07
2016 1.34 * * * * * * * * * * * * * * * * *
I am guessing that Schmidt’s “homogeneity” adjustment changes over the years.
Thus far, Schmidt’s method of “proof” of “global warming” is attempted mockery and humiliation.
He’s not the first to use this method of “proof”
“If the facts are against you, argue the law. If the law is against you, argue the facts. If the law and the facts are against you, pound the table and yell like hell”. — Carl Sandburg
Progressives are now reduced to yelling, screaming, throwing temper tantrums, vandalism and rioting.
Gavin is in the yelling and vandalism stage.
Hey Gail, glad you mentioned Sandburg. He should be taught more these days. https://www.youtube.com/watch?v=77_rjMM6g6k
I wonder if Gavin has ever invited Tony for a personal get-together to explain his calculations in person, mano-mano?
Gavin has me blocked on twitter.
He’s notoriously thin skinned.
Not quite to the degree Michael Mann is, though – Mann is in a class by himself. Trenberth is a close second.
Gavin even refused to debate a gentleman like Dr. Roy Spencer face to face on TV.
Tony Heller’s like Donald Trump, he’d Rip Gavin’s face off figuratively speaking and Gavin darn well knows it.
Wasn’t that an utter embarrassment for alarmist ‘climate science’? Roy Spencer is clearly a decent chap yet Schmidt was so arrogant he wouldn’t even sit next to him nor discuss directly with him. Just pathetic.
Oh, it certainly was.
Reminded me of a kindergarten boy refusing to sit next to a girl because she had cooties.
Gavin is that YOU???
Mano a mano mean s ‘hand to hand’. Are you suggesting combat?
So the 2000 data is still published on Nasa’s website ?
https://www.ncdc.noaa.gov/oa/climate/research/ushcn/ushcn.html#QUAL
This is noaa’s own website the graph I think your looking for is about half way down the site.
Gavin’s defense of himself and his actions is weak. It will be fun when this argument about the partisan political manipulation of the surface temperature record begins for real in about 33 more days.
Just ran the following difference calculation:
Period from 1880-2000 using the links. Ran a simple difference and then found the average change per year.
Just as Mr. Heller says:
NOAA says their “improved” methods of “homogenizing” data lead to more “realistic” averages
Indeed Brian and it is just a happy coincidence that all that fudging only ever moves the calculated temperatures in the “its worse than we thought” direction ;-)
But the interesting part is that in 121 years or 1452 months, they just had to change almost every single month. Only 21 months had 0 change. They messed and fiddled with every month in every year except 21. SHeez…. jerks.
Hey Timo! Yes, everything “adjusted” except for 21 months… That, in itself, is not necessarily bad. Hey, they might have discovered some systemic errors that required an adjustment to every single month, no exceptions! The problem is in the nature of and especially in the PATTERN of the adjustments. The nature is essentially unknown. Yes, they have given reasons for making adjustments, and at least some of the adjustments sound plausible, but mere plausibility is not enough. Science demands that they justify and quantify the adjustments so that another party can duplicate and verify the changes. To the best of my knowledge they have never described their justifications and process in enough detail to allow replication.
Having said that, the more troubling issue, from a scientific standpoint is that their adjustments indicate not just lack of documentation, but a VERY suspicious and unlikely pattern. In the real world, adjustments tend to cancel out; you get some plus, some minus, and they mostly cancel. You also expect any given type of error to be more or less evenly distributed over time, constrained only by time of discovering and correcting the error, and by possible changes in instrumentation. You especially do not see an overwhelming grouping of minuses and then at some different time later an equally overwhelming grouping of pluses, both of which just happen to greatly increase the exact long term trend which you claim to be looking for.
Just step back for a moment and consider — Is it really reasonable to suppose that back in 1885 or so, that there was a consistent, verifiable and calculable error that was so widespread that the AVERAGE error for all stations was about 0.8 degrees too hot? And that somehow, that error remained, getting gradually and consistently smaller (and without anyone at the time even knowing it existed!) until 1970 or so — at which time we reached the pinnacle of accuracy, with our stations giving us essentially perfect information? And then, and THEN, in 1970 (still without anyone at the time realizing it) all (OK, a simple large proportion of) the stations began to give wrong readings again, only this time they were overwhelmingly reading too cold, and once more getting further and further from those accurate conditions of 1970! And then, even today, a time when we know how readings were taken during the accurate 1970s, and when we know what is wrong with our current equipment (causing errors where our thermometers read too cold), we just keep on getting less and less accurate each year. Today we claim that we understand how to adjust our readings, but strangely, we can’t seem to collect data as accurate as what we used to get! Oddly enough, these near magical sequences of errors have all colluded to make our thermometers give us raw data that shows little or no warming, while in the oh-so-sciency world of Mann, the truth is that the world is getting hotter and hotter and hotter — just as he wished to show!
Bah! In any of the REAL sciences, no one would stand for this obvious fraud. These criminals are doing real damage to the reputation of real science. Giordano Bruno would be rolling over in his grave (if he had a grave).
” These criminals are doing real damage to the reputation of real science.”
BINGO!!!
That is why ALL real scientists should be shouting these charlatans down. You do not adjust data PERIOD. You can do analysis of the data and show graphs of your interpretation but at that point it is no longer data.
Instead to correctly present data you put error bars around the data. If needed you can have the error lopsided. However you do not have some computer program continually adjusting the data to match some politically motivated conjecture.
This is how data is SUPPOSED to be handled: (Historic CO2 data by Ernest Beck. 1970 increase in error due to unvalidated IR spectrometer method. )
Only a few countries and places in the world have taken temperatures with some consistent effort since the 19th Century but certainly not following the same methodologies, never using the same equipments and certainly not afraid of contributing to any future accurate research on the subject. This has probably led to permanent errors of more than 3 C, 4 C on a ramdom basis. There is no possible adjustement with such a dataset like that. All we could use this data is to sense some possible overall trends (and mainly only for the places and zones with presumably better measurement conditions) and never using this for accountings of fractions of 1 C as the warmists try to do. That’s why their studies just don’t get a hold on most of the world except for those governments just interested in the political and economical use of these studies. And just for the record most countries participate on UN forums only to put their hands in the wealthy countries money…
A favorite stunt used by Jim Hansen in the absence of data was simply assume that lines of constant latitude were isotherms.
I believe you Tony. At the end of last year I wrote a program to analyze and uh, infill the GHCN and USHCN raw and adjusted data. The interesting part was I could modify the infill algorithm, sometimes significantly (number of nearby stations averaged, etc), without significantly affecting the output (interestingly, the 2012 peak was consistently present). I’m thinking about giving it another try (with enhancements?) when the complete 2016 data sets are released. This is what my GHCN (2015) and USHCN (2014) results looked like:
Yeah Tony, I have those same files gleaned from The WayBack Machine and I get the very same graph from the 2016 data minus 2000 data that you got. It is absolutely undeniable that the historical data has been re-written, it’s just a matter of opinion as to why.
Anyone who says your graph or mine for that matter is fake, is not telling the truth. There are lots of ways to display what’s been done.
Here’s a quick and dirty duplication of Ton’s graph:
Gavin’s own graph trips him up. First, he shows he cooled the past and warmed the present.He uses a classic y axis scale cheat on how much in siccessive versions. Look carefully at the 2000 and 2014 plots. The difference is about 0.4C just as Tony’s plot shows on a compressed x and elongated y rather than Gavin’s elongated x and compressed y.
Paul Homewood did similar comparing 2011 data to 2015 data
2016 not 2015…
Here’s another version:
So how does he get his graph? What are his inputs and what is he showing exactly?
Is he using specific data (Met stations that do not change much perhaps) or is he plotting differences individually rather than aggregated (I don’t think so myself, but am unsure)?
He can’t be outright lying, so he must get his output by some legitimate means that does not address your point.
Finding out how he shows it differently would be interesting.
You wrote “He can’t be outright lying”. Why not? What makes you think that Gavin cannot be ‘outright lying’. Considering what we have seen, I think ‘outright lying’ is the most plausible explanation.
They couldn’t answer congressional subpoenas supposedly to protect scientific integrity, despite the request being for emails sent and received on government computers from government accounts both written and read on government paid time. Why should producing the requested information compromise ‘scientific integrity’??? Seems to me, the fact that they refuse to comply, means their scientific integrity is already compromised, and they do not want anyone to know for sure or by how much. It stinks.
What you say sounds reasonable but I want to hear what Reasonable Skeptic has to say about it because unlike others he is reasonable.
There are so many ways to lie with data that there is no reason to produce fake data. He does have a reputation and putting out obviously false information is a big no no.
I simply suggest that he is using a different way to change the way the data looks. He can change the inputs by using a subset of data for example. He can fiddle with the axis to flatten the vertical scale.
I fully expect both Tony and Gavin to be smart about how they present data to get the best bang for the buck.
Sure he can but would it not be reasonable—let alone more productive—to look at what Gavin’s actually doing rather than speculate what he could be doing?
And would it not be reasonable to ask why he doesn’t want to discuss it?
-“And would it not be reasonable to ask why he doesn’t want to discuss it?”
-“We have 25 or so years invested in the work. Why should I [..] when your aim is to try and find something wrong with it. “
“We have 25 or so years invested …
But we already know they can’t be outright lying, don’t we? That’s a big no no. Let’s see if reasonable people can come to a reasonable agreement.
I wouldn’t want anything unreasonable happening here …
What is Gavin and Tony actually doing to get these results? That is a question I would love to pose.
I happen to trust Tony more, but to be fair, both have to be held to the same standard.
It appears that Tony has provided his inputs and others have reproduced his result. The same can’t be said of Gavin just yet.
Hey Reasonable Sceptic! “Tony has provided his inputs and others have reproduced his result. The same can’t be said of Gavin”
Exactly, and sceptics have been asking Gavin et al for enough information to reproduce the official results for many years — without success. We may quibble that failure to provide information for reproduction is technically not the same as lying, and in ordinary day-to-day interactions that would be true. Science is different. It may not be actual lying, but in science, it is the functional equivalent. Part of the scientific process is supplying that method of validation.
Gavin may assert that his graphs are science. Gavin may refuse to supply enough information for reproduction. What Gavin CANNOT do is to claim that his graphs are science AND refuse to supply validation procedures. When he does THAT he is lying.
And let’s not forget, this is Gavin’s pseudo-data AFTER GHCN have had their way with it !!
It is “adjustment™” piled on top of fabrication and mal-manipulation.
exactly…I was waiting on someone to say that
OT.. The Electoral College vote is on today in the USA isn’t it?
Any updates ?
More Winning – Electoral College Votes Today – Live Stream and Open Discussion…
I general like to keep track of the above website esp after their really great investigation of Obama using Trayvon Martin/George Zimmerman as a tool to get himself re-elected not caring if an innocent man got lynched in the process.
https://theconservativetreehouse.com/?s=zimmerman
https://theconservativetreehouse.com/category/trayvon-martin/
Seems after all the browbeating of electors MORE defected from Hillary than Trump.
Hillary lost more electors than anyone in history.
???BOOM??? Texas just put Trump past 270.
Trump is now President of the United States
(Texas had two faithless Electors)
(Texas had an influx of California Nuts and Fruits.)
This is more like what I’m after
http://www.nytimes.com/interactive/2016/12/19/us/elections/electoral-college-results.html
counting so far is:
268 (2 more needed) for Trump
166 for Clinton
4 “faithless” AGAINST Clinton so far :-)
…and three of Hillary’s defectors changed their vote and voted for a republican! LOL
Gosh, I hope those apostates voted for Gary Johnson. I ran a spreadsheet on spoiler votes and in the 11 states where libertarians covered the gap, ASSUMING that skewed the election, the LP cost the Dems 90 electoral votes. We only cost the Republicans 35 electoral votes on that same admittedly oversimplifying assumption. One such vote in 1972 scared the Supreme Court into deciding Roe v. Wade in favor of individual rights a month later.
Just got a newsflash across the screen
Donald is now over 270
GAME OVER !!! :-)
Now 304 for Trump
still only 166 for Clinton
Is there going to be an Electoral College swing TO Trump !!!
That would be sooooo funny !!!
Could be…
The Deplorables the world over will laugh all the way to January 20th and there will not be enough Butt cream to cover all the Butt Hurt in the MSM and Academia.
DANG! I forgot to buy stock.
You know…..the democrazies have tried every trick in the book
…and every one of them backfired! LOL
Back in October, when the libtards thought Hitlery was a sure bet to win the presidency we were lectured over and over again by the intellegentsia about the importance and long tradition of the peaceful transition of power and the importance of accepting the results of the election. They lost, subsequently they have rioted, beaten Trump supporters, demanded recounts in selected states and for the first time that anyone can remember electors of the electoral college had been threatened and intimidated to change their votes and thus overturn the will of the people and the outcome of the election. So much for long traditions. The left has shown time and time again they will do anything to hold onto the reins of power.
From the presidential papers of Herbert Clark Hoover (no online)
Apr. 3, 1929: Mitchell writes DeGroot demanding his resignation [as US Attorney for the Eastern Division of New York]. DeGroot publicly refuses. (Hoover 1929 1974 131-132)
Hoover letter to William A. DeGroot 5/1/29: You are hereby removed from the office of United States Attorney effective immediately. (Hoover 1929 1974 130)
Gavin should receive such a letter. Once the Dem lumpenproletariat realize they could have won if the platform committee had added a decriminalization plank and deleted the econazi carbon tax fraud, a hard rain’s a gonna fall!
Hank, why, if you are a Libertarian, do you have a problem with Donald Trump when he is a fan of Ayn Rand and he is nominating other fans of Ayn Rand???
Ayn Rand-acolyte Donald Trump stacks his cabinet with fellow objectivists
ALLRIIiiight, I moved to the correct state!
“On their way to cast their votes today, North Carolina electors marched united behind a banner that said “Thank you President-elect Donald J Trump. Make American Great Again” while singing God Bless America!”
http://www.theamericanmirror.com/unified-nc-electors-sing-god-bless-america-way-vote-trump/
“You wrote “He can’t be outright lying”. Why not? What makes you think that Gavin cannot be ‘outright lying’. Considering what we have seen, I think ‘outright lying’ is the most plausible explanation.”
That’s the way it looks to me, too.
Gavin has an agenda and everyone knows what it is. And his manipulation of the surface temeperature record proves it. The graphs above, that show the changes he has made, clearly demonstrate he cooled the past and warmed the present exclusively. The pattern is obvious. Gavin ought to go to jail, considering the trouble he has stirred up with his lies.
This is a Hellerver good site. Thanks Tony.