We put together the Temperature Anomaly and Atlantic Cyclone Power to see if there's an effect on cyclone power.
Well, there's something of a paradox.
The proposed increase in temperature doesn't seem to affect the cyclone power; most notably beginning in 1980.
If there is a temperature increase, there should be a power increase.
Below is the graph of the Temperature Anomaly and Atlantic Cyclone Power.
You can see there is a remarkable change in the Temperature Anomaly, yet, Atlantic Cyclone Power seems to be relatively level.
From here on, this is just opinion.
What we find interesting is the Temperature Anomaly seems to All-Of-A-Suddenly increase after 1979.
What event happened in 1979? The First World Climate Conference was held in Geneva in February of 1979.
Then again, All-Of-A-Sudden, after 2014, the Temperature Anomaly shot up again.
What event happened around 2014? The Climatic Research Unit email controversy in 2012 and the following years 2013-2014 people noted there was a stall in the Temperature Anomaly.
It seems the Temperature Anomaly works in perfect harmony with petty grasping human ambition.
A paradox seems to be in order.
What we've found in our dealings with paradoxes is one part of a paradox tends to be false; thereby collapsing the paradox altogether.
If the Temperature Anomaly were fudged, it would collapse the paradox.
But, there is that Cyclone Power.
It doesn't seem to be fudged.
Why, we ask our self.
Well, temperatures are easy to manipulate.
There are places on this planet where most people never go; easy to add a degree here and there.
However, cyclones are a problem.
They are seen and felt by vastly more people; a little harder to manipulate when it's raining in your backyard.
You see the event yourself, you see the real power and tell if there's something amiss with the data.
We've detected changes in the cyclone data.
Maybe those changes were for a reason.
We'll let you decide.
Below are graphs of our calculated values of Atlantic Cyclone Power of each event.
You'll notice there is no Y-axis scale.
That's not a problem, because, all we want to show is relative power between events.
Also, for the same justification that some professionals have used the presentation of data in the anomaly format.
Don't like it, Go Function Yourself.
This graph show all the power values with any observational bias due to policy and/or technology.
Just looking at this we can see there are some differences between year ranges.
We detected at least 6 different ranges and have highlighted those suspected years.
The differences seem a little more clear.
Below, we have changed the Y-axis to a Logarithmic scale, and the range differences become even more clear.
We can adjust for these differences to make the values relatively matched for the changes in policy/technology.
Here we can see the graph with these observational bias removed.
Next, we can average these yearly, non-linear values in to a yearly average.
Below is the adjusted yearly averages for cyclone power.
We can see around 1947 the power has been fairly level till about 1999, then peaks at 2005 and comes down.
It has risen by looking at the Regression Wave, but next year's average may play a factor in the direction of the Regression Wave.
The next 3 years could be interesting.
We have detected at least 6 different date ranges where observational bias may have affected the data due to policy and/or technology changes.
They are as follows:
1851 - 1870
1871 - 1897
1898 - 1966
1967 - 1981
1982 - 1994
1995 - 2017 (current date)
There's nearly a month left in the 2017 Hurricane Season.
We'll be posting an update on the observationally modified power values shortly.
Powerball History |
||||||
Years |
Matrix |
Power Play |
Price |
Jackpot Annuity |
Minimum Jackpot |
Maximum Jackpot |
1992-04-22 to 1997-11-01 |
5/45 and 1/45 |
none |
$1.00 |
20 Year |
$2,000,000 |
$111,240,463 |
1997-11-05 to 2001-03-03 |
5/49 and 1/42 |
none |
$1.00 |
25 Year |
$10,000,000 |
$295,700,000 |
2001-03-07 to 2002-10-05 |
5/49 and 1/42 |
BDN x1 - x5 |
$1.00 |
25 Year |
$10,000,000 |
$295,000,000 |
2002-10-09 to 2005-08-27 |
5/53 and 1/42 |
BDN x2 - x5 |
$1.00 |
30 Year |
$10,000,000 |
$314,900,000 |
2005-08-31 to 2009-01-03 |
5/55 and 1/42 |
BDN x2 - x5 |
$1.00 |
30 Year |
$15,000,000 |
$365,000,000 |
2009-01-07 to 2012-01-14 |
5/59 and 1/39 |
CGN x2 - x5 |
$1.00 |
30 Year |
$20,000,000 |
$261,600,000 |
2012-01-18 to 2014-01-18 |
5/59 and 1/35 |
none |
$2.00 |
30 Year |
$40,000,000 |
$590,500,000 |
2014-01-22 to 2015-10-03 |
5/59 and 1/35 |
CGN x2 - x5 |
$2.00 |
30 Year |
$40,000,000 |
$564,100,000 |
2015-10-07 to -Present- |
5/69 and 1/26 |
CGN x2 – x5
|
$2.00 |
30 Year |
$40,000,000 |
$1,586,400,000 |
Mega Millions History |
||||||
Years |
Matrix |
Megaplier |
Price |
Jackpot Annuity |
Minimum Jackpot |
Maximum Jackpot |
1996-09-06 to 1999-01-12 |
5/50 and 1/25 |
None |
$1.00 |
20 Year |
$5,000,000 |
$77,000,000 |
1999-01-15 to 2002-05-14 |
5/50 and 1/36 |
None |
$1.00 |
20 Year |
$5,000,000 |
$363,000,000 |
2002-05-17 to 2005-06-21 |
5/52 and 1/52 |
None |
$1.00 |
26 Year |
$10,000,000 |
$294,000,000 |
2005-06-24 to 2013-10-18 |
5/56 and 1/46 |
None |
$1.00 |
26 Year |
$12,000,000 |
$656,000,000 |
2013-10-22 to 2017-10-27 |
5/75 and 1/15 |
BDN x2 - x5 |
$1.00 |
30 Year |
$15,000,000 |
$636,000,000 |
2017-10-31 to -present- |
5/70 and 1/25 |
BDN x2 - x5 |
$2.00 |
30 Year |
$40,000,000 |
$119,000,000 |
Multiplier Selection Method |
BDN - Ball Drawn Number |
CGN - Computer Generated Number |
Not easy to find the years the payouts changed, but we got it.
Powerball History
1992-04-22 to 1997-11-01: 5/45 and 1/45, 20 Year Payout
1997-11-05 to 2002-10-05: 5/49 and 1/42, 25 Year Payout
2002-10-09 to 2005-08-27: 5/53 and 1/42, 30 Year Payout
2005-08-31 to 2009-01-03: 5/55 and 1/42, 30 Year Payout
2009-01-07 to 2012-01-14: 5/59 and 1/39, 30 Year Payout
2012-01-18 to 2015-10-03: 5/59 and 1/35, 30 Year Payout
2015-10-07 to -Present- : 5/69 and 1/26, 30 Year Payout
Mega Millions History
1996-09-06 to 1999-01-12: 5/50 and 1/25, 20 Year Payout
1999-01-15 to 2002-05-14: 5/50 and 1/36, 20 Year Payout
2002-05-17 to 2005-06-21: 5/52 and 1/52, 26 Year Payout
2005-06-24 to 2013-10-18: 5/56 and 1/46, 26 Year Payout
2013-10-22 to 2017-10-27: 5/75 and 1/15, 30 Year Payout
2017-10-31 to -present- : 5/70 and 1/25, 30 Year Payout
partial source www.usamega.com
.
· |
Lo Hi |
· |
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0 |
1 |
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Mod 5 |
0 |
0 |
5 |
1 |
Vtrac |
1 |
1 |
6 |
2 |
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2 |
2 |
7 |
3 |
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3 |
3 |
8 |
4 |
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4 |
4 |
9 |
5 |
· |
Even Odd |
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0 |
1 |
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Range |
0 |
0 |
1 |
1 |
2 |
3 |
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2 |
4 |
5 |
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3 |
6 |
7 |
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4 |
8 |
9 |
Number |
Mod 5 |
Lo Hi |
Range |
Even Odd |
Vtrac |
N |
MOD(N,5) |
INT(N/5) |
INT(N/2) |
MOD(N,2) |
MOD(N,5)+1 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
0 |
0 |
1 |
2 |
2 |
2 |
0 |
1 |
0 |
3 |
3 |
3 |
0 |
1 |
1 |
4 |
4 |
4 |
0 |
2 |
0 |
5 |
5 |
0 |
1 |
2 |
1 |
1 |
6 |
1 |
1 |
3 |
0 |
2 |
7 |
2 |
1 |
3 |
1 |
3 |
8 |
3 |
1 |
4 |
0 |
4 |
9 |
4 |
1 |
4 |
1 |
5 |
Make'em look like they really are.
The liberal media is losing their minds:
Women are spamming it with one star reviews and calling for it to be banned from Apple and Google’s app stores, though men love it:
This one of Chelsea Clinton got run through a few too many times:
Taylor Swift and the Trumps look great:
The media responded to the app by accusing developer Ashot Gabrelyanov of being a Kremlin agent — no joke.
Gabrelyanov said he’s going to sue Business Insider for lying about him:
One liberal media writer at Slate tried to stick it to Gabrelyanov by running him through the app:
... without the NFL.
We see a massive block of ice slamming down hard.
Hope you're ready for what will seem like the next Ice Age.
Blizzard after Blizzard... ...uhff, just chills to think about it.
The following chart and table are updated with the most recent data.
It factors in a minor set of temporal variations.
There's less than 2 months left in the 2017 season.
Year |
Total Power |
1850 |
|
1851 |
2025.00 |
1852 |
2200.69 |
1853 |
3265.64 |
1854 |
2134.17 |
1855 |
2828.13 |
1856 |
2194.06 |
1857 |
1412.74 |
1858 |
2716.24 |
1859 |
4091.94 |
1860 |
3399.23 |
1861 |
3347.76 |
1862 |
2260.87 |
1863 |
3542.05 |
1864 |
1594.23 |
1865 |
2531.53 |
1866 |
3385.34 |
1867 |
3676.21 |
1868 |
1999.87 |
1869 |
6496.12 |
1870 |
5294.26 |
1871 |
3152.99 |
1872 |
1551.21 |
1873 |
1805.02 |
1874 |
1819.19 |
1875 |
2371.46 |
1876 |
1903.15 |
1877 |
2180.68 |
1878 |
4744.72 |
1879 |
2765.77 |
1880 |
4224.85 |
1881 |
2182.62 |
1882 |
2142.38 |
1883 |
1856.58 |
1884 |
1494.30 |
1885 |
2302.53 |
1886 |
5040.76 |
1887 |
5904.84 |
1888 |
3157.17 |
1889 |
2396.07 |
1890 |
1303.05 |
1891 |
3221.02 |
1892 |
2574.54 |
1893 |
5049.76 |
1894 |
3011.88 |
1895 |
1641.54 |
1896 |
3021.05 |
1897 |
1901.12 |
1898 |
3346.38 |
1899 |
2872.87 |
1900 |
1623.03 |
1901 |
2552.03 |
1902 |
1075.41 |
1903 |
3215.04 |
1904 |
1124.55 |
1905 |
903.79 |
1906 |
3134.83 |
1907 |
748.11 |
1908 |
2611.65 |
1909 |
3199.68 |
1910 |
1512.46 |
1911 |
1160.22 |
1912 |
1753.98 |
1913 |
1276.52 |
1914 |
225.64 |
1915 |
2565.98 |
1916 |
4536.11 |
1917 |
1530.42 |
1918 |
1584.75 |
1919 |
1611.56 |
1920 |
1138.14 |
1921 |
2203.89 |
1922 |
1216.23 |
1923 |
1843.33 |
1924 |
2893.64 |
1925 |
648.05 |
1926 |
4465.34 |
1927 |
1888.16 |
1928 |
1982.79 |
1929 |
1594.03 |
1930 |
959.55 |
1931 |
2049.91 |
1932 |
4441.81 |
1933 |
6059.84 |
1934 |
2960.85 |
1935 |
2667.66 |
1936 |
3707.25 |
1937 |
2790.82 |
1938 |
2541.89 |
1939 |
1455.28 |
1940 |
2224.13 |
1941 |
1662.60 |
1942 |
2254.88 |
1943 |
3154.21 |
1944 |
4143.33 |
1945 |
2587.37 |
1946 |
1610.27 |
1947 |
2939.94 |
1948 |
3572.65 |
1949 |
3921.71 |
1950 |
5751.58 |
1951 |
3894.95 |
1952 |
2684.61 |
1953 |
3904.86 |
1955 |
4514.01 |
1955 |
5226.62 |
1956 |
2515.59 |
1957 |
1845.71 |
1958 |
3680.02 |
1959 |
3286.63 |
1960 |
2219.11 |
1961 |
4877.39 |
1962 |
1027.83 |
1963 |
2576.84 |
1964 |
3411.76 |
1965 |
1566.52 |
1966 |
2708.38 |
1967 |
3079.54 |
1968 |
1731.01 |
1969 |
5387.09 |
1970 |
2175.29 |
1971 |
2586.12 |
1972 |
1782.40 |
1973 |
2173.97 |
1974 |
2739.08 |
1975 |
2840.01 |
1976 |
2881.69 |
1977 |
1864.66 |
1978 |
2985.73 |
1979 |
2578.80 |
1980 |
3912.99 |
1981 |
3335.61 |
1982 |
1444.57 |
1983 |
1090.77 |
1984 |
2914.39 |
1985 |
3019.68 |
1986 |
1573.06 |
1987 |
1514.69 |
1988 |
3625.18 |
1989 |
3536.12 |
1990 |
2895.44 |
1991 |
1895.45 |
1992 |
2268.32 |
1993 |
1661.63 |
1994 |
1639.91 |
1995 |
5287.66 |
1996 |
3450.98 |
1997 |
1441.81 |
1998 |
3870.24 |
1999 |
4670.23 |
2000 |
3868.62 |
2001 |
4067.11 |
2002 |
2405.69 |
2003 |
4450.77 |
2004 |
4756.68 |
2005 |
7309.33 |
2006 |
1990.65 |
2007 |
3992.78 |
2008 |
4240.67 |
2009 |
1883.13 |
2010 |
4886.73 |
2011 |
3922.72 |
2012 |
3832.13 |
2013 |
2003.42 |
2014 |
2149.88 |
2015 |
1967.93 |
2016 |
3880.10 |
2017 |
4105.53 |
2018 |
|
2019 |
|
2020 |
|
We're making a tweak to the Atlantic Accumulated Cyclone Power.
There's not a big difference from the last calculation, just an adjustment related to variations in temporal readings.
Also, it will reflect the latest TS Rina floating out in the North Atlantic.
We'll post a little later.
We've been looking over the Atlantic Accumulated Cyclone Energy or ACE.
It seems a bit odd the measurement focuses on peak energy.
It's like having your electric bill based only on your peak energy usage.
That's absurd, energy providers wouldn't get much that way.
Is there another way to measure energy usage?
YEP, it is call power, or Watts.
It's the measurement of energy over time, or the amount of work over time, sometimes in units of kg m2 / s3 or J / s.
Funny thing about the ACE is the measurement leaves out the kg or mass and it's measured in kn2.
You can see the their equation at the link above.
OK, well, if that's good for them, it's good for us, we can do that, too.
Instead of using just the max velocity or peak energy of the cyclone, we used a measurement of the entire life of the cyclone and sum up all the power values.
The Accumulated Cyclone Power is measured in kn2 / h, square knots per hour.
Below are the chart and table for our rework.
If we Rank the top 10, it would be the following:
Rank | Year | Total Power |
1 | 2005 | 7093.08 |
2 | 1887 | 6066.30 |
3 | 1933 | 6064.71 |
4 | 1869 | 5587.70 |
5 | 1969 | 5562.55 |
6 | 1950 | 5355.69 |
7 | 1995 | 5071.08 |
8 | 1961 | 5049.95 |
9 | 1893 | 4911.55 |
10 | 1878 | 4826.73 |
Year |
Total Power |
1851 |
1653.26 |
1852 |
2285.03 |
1853 |
3036.49 |
1854 |
2009.72 |
1855 |
2397.04 |
1856 |
2286.26 |
1857 |
1482.39 |
1858 |
2301.14 |
1859 |
4075.27 |
1860 |
3071.85 |
1861 |
2907.39 |
1862 |
2294.83 |
1863 |
3883.53 |
1864 |
1536.98 |
1865 |
2242.92 |
1866 |
3369.80 |
1867 |
3248.16 |
1868 |
2139.69 |
1869 |
5587.70 |
1870 |
4722.85 |
1871 |
3057.15 |
1872 |
1495.05 |
1873 |
1714.43 |
1874 |
1870.23 |
1875 |
2411.52 |
1876 |
1907.01 |
1877 |
2169.85 |
1878 |
4826.73 |
1879 |
2723.60 |
1880 |
4172.28 |
1881 |
2129.05 |
1882 |
2129.81 |
1883 |
1833.01 |
1884 |
1523.68 |
1885 |
2299.60 |
1886 |
4772.91 |
1887 |
6066.30 |
1888 |
2834.23 |
1889 |
2390.82 |
1890 |
1418.27 |
1891 |
3282.42 |
1892 |
2592.49 |
1893 |
4911.55 |
1894 |
2929.47 |
1895 |
1567.77 |
1896 |
2870.51 |
1897 |
1723.39 |
1898 |
3070.26 |
1899 |
2783.58 |
1900 |
1621.57 |
1901 |
2530.83 |
1902 |
1064.89 |
1903 |
3122.94 |
1904 |
1088.37 |
1905 |
914.07 |
1906 |
3056.80 |
1907 |
715.61 |
1908 |
2627.22 |
1909 |
3073.81 |
1910 |
1544.60 |
1911 |
1152.09 |
1912 |
1757.48 |
1913 |
1239.36 |
1914 |
162.38 |
1915 |
2492.54 |
1916 |
4520.48 |
1917 |
1545.78 |
1918 |
1634.14 |
1919 |
1463.37 |
1920 |
1069.14 |
1921 |
2235.22 |
1922 |
1248.41 |
1923 |
1847.34 |
1924 |
2900.69 |
1925 |
690.57 |
1926 |
4438.09 |
1927 |
1949.11 |
1928 |
1936.83 |
1929 |
1563.60 |
1930 |
990.57 |
1931 |
2129.18 |
1932 |
4345.68 |
1933 |
6064.71 |
1934 |
2875.54 |
1935 |
2635.27 |
1936 |
3740.81 |
1937 |
2891.31 |
1938 |
2497.17 |
1939 |
1422.16 |
1940 |
2245.73 |
1941 |
1541.27 |
1942 |
2261.08 |
1943 |
3296.67 |
1944 |
3992.98 |
1945 |
2589.07 |
1946 |
1455.28 |
1947 |
2675.21 |
1948 |
3004.94 |
1949 |
3842.39 |
1950 |
5355.69 |
1951 |
3748.01 |
1952 |
2698.55 |
1953 |
3721.58 |
1954 |
3841.01 |
1955 |
4606.34 |
1956 |
2503.94 |
1957 |
1884.04 |
1958 |
3573.44 |
1959 |
3083.46 |
1960 |
1985.90 |
1961 |
5049.95 |
1962 |
1058.11 |
1963 |
2658.02 |
1964 |
3509.60 |
1965 |
1609.08 |
1966 |
2807.53 |
1967 |
3240.09 |
1968 |
1819.11 |
1969 |
5562.55 |
1970 |
2285.82 |
1971 |
2710.91 |
1972 |
1885.73 |
1973 |
2303.14 |
1974 |
2899.71 |
1975 |
3001.26 |
1976 |
3034.73 |
1977 |
2040.41 |
1978 |
3174.37 |
1979 |
2683.61 |
1980 |
4064.22 |
1981 |
3527.04 |
1982 |
1529.45 |
1983 |
966.42 |
1984 |
2999.00 |
1985 |
2926.87 |
1986 |
1609.36 |
1987 |
1539.28 |
1988 |
3444.41 |
1989 |
3275.95 |
1990 |
2867.13 |
1991 |
1864.30 |
1992 |
2158.79 |
1993 |
1637.18 |
1994 |
1644.00 |
1995 |
5071.08 |
1996 |
3453.28 |
1997 |
1458.35 |
1998 |
3860.98 |
1999 |
4502.07 |
2000 |
3779.14 |
2001 |
3905.31 |
2002 |
2201.95 |
2003 |
4463.54 |
2004 |
4503.44 |
2005 |
7093.08 |
2006 |
2197.40 |
2007 |
3445.29 |
2008 |
3881.39 |
2009 |
1931.68 |
2010 |
4725.81 |
2011 |
3862.74 |
2012 |
3722.22 |
2013 |
2105.23 |
2014 |
2132.37 |
2015 |
1992.19 |
2016 |
3769.14 |
2017 |
4097.14 |
We see something virtually coming.
Watch for it.
BIG, BIG Event.
June 2025 May 2025 April 2025 March 2025 October 2024 May 2024 April 2024 March 2024 February 2024 January 2024 December 2023 November 2023 August 2023 May 2023 April 2023 March 2023 March 2021 February 2021 January 2021 December 2020 November 2020 October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 March 2020 January 2020 December 2019 November 2019 October 2019 September 2019 August 2019 July 2019 June 2019 May 2019 April 2019 March 2019 February 2019 January 2019 December 2018 November 2018 October 2018 September 2018 August 2018 July 2018 June 2018 May 2018 April 2018 March 2018 February 2018 January 2018 December 2017 November 2017 October 2017 September 2017 August 2017 July 2017 June 2017 May 2017 April 2017 March 2017 February 2017 January 2017 December 2016 November 2016 October 2016 September 2016 August 2016 July 2016 June 2016 May 2016 April 2016 March 2016 February 2016 January 2016 December 2015 November 2015 October 2015 September 2015 August 2015 July 2015 June 2015 May 2015 April 2015 March 2015 February 2015 January 2015 December 2014 November 2014 October 2014 September 2014 August 2014 July 2014 June 2014 May 2014 April 2014 March 2014 February 2014 January 2014 December 2013 November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 October 2012 September 2012 August 2012 July 2012 June 2012 May 2012 April 2012 March 2012 February 2012 January 2012 December 2011 November 2011 October 2011 September 2011 August 2011 July 2011 June 2011 May 2011 April 2011 March 2011 February 2011 January 2011 December 2010 November 2010 October 2010 September 2010 August 2010 July 2010 June 2010 May 2010 April 2010 March 2010 February 2010 January 2010 December 2009 November 2009 October 2009 September 2009 August 2009 July 2009 June 2009 May 2009 April 2009 March 2009 February 2009 January 2009 December 2008 November 2008 October 2008 September 2008 August 2008 July 2008 June 2008 May 2008 April 2008 March 2008 February 2008 January 2008 December 2007 November 2007 October 2007 September 2007 August 2007 July 2007 June 2007 May 2007 April 2007 March 2007 February 2007 January 2007 December 2006 November 2006 January 2006 November 2005 August 2005 July 2005 June 2005 April 2005 March 2005 February 2005 January 2005 December 2004