Tornadotulokista osa 7

Chapter 5. Database Introduced THE SAMPLE Asycnhronic Gauges A. Sample size The sample size in this study was alltogether 769 tornadoes. Of these 288 observation was excluded from database during the most of the analyses. This was executed to fullfill the specific research criterias2 of this study. The whole size of the sample was used when specific reseach criterias was not necessary to fullfill3 making 481 tornadoes the sample size for most of the studies. B. Forming the control groups The database was organised to three control groups. The three group is named in this study DATA SAMPLE A, DATA SAMPLE B and DATA SAMPLE C. They consist observations presented in the table below. TABLE 5.1 NUMBER OF OBSERVATIONS        IN CONTROL GROUPS             number of                      observations DATA SAMPLE A      481 DATA SAMPLE B      326 DATA SAMPLE C      155 DATA SAMPLE A consist all the tornadoes left after excluding observations which happened on a same calendar day4 and year (eg. multiple outbreaks). 4= PLEASE REFER: ”Researc Approach” to get more detailed DATA SAMPLE B Consists tornadoes which did not involve the loss of human lives. DATA SAMPLE C Consists tornadoes which did occurred with casualties (deaths). Data sample C equals with so called ”Killer-Tornadoes”. C. Methods of manipulating control groups The sample size in this study set limitations of analysing data. Analysing in subgroups was limited. Unless specially announced, the frequencies of each variable is divided and analysed in 12 sections4. Splitting this information further by more profiling variables e.g. the fortitude of tornado, the cost effects etc. was not carried through in this study due to the limits of the resources. VARIABLES INTRODUCED Below research variables are introduced to those who are interested of the organisation of the database. The variables used are listed in equivalent order below and the equivalent content in the database is shortly depicted by an example. Also the used numeral or categorical range of the each variable is mentioned. State MD County/District Carroll County Town, Village/Area Gamber Stormtype Tornado (Killer-Tornado) Path Wide (yrds) 350   (0-1000) Path Length (miles/1000)1 2250   (0-135000) Intensity by Fujita Scale F3   (F0-F5) Death Casualties 0 Injured 3 $ Primary material losses $ 5.000.000 Material losses short.depiction ”66 homes were damaged of which 12 were destroyed” (Extract reference in a one sentence) Multiple Outbreaks or Tornadoes on same Calendar Day? 0   (0=no, 2-20 there is equivalent    amount of tornadoes on same calendar    day) Day of the Week Wednesday   (Sunday-Saturday) Hour 1435      (0000-2400) Day 19   (1-31) Month 7   (1-12) Year 1996 ------------ FRAMEWORK VARIABLES1 Part I   1-dimensional       level1 Moon 162,04   (0-360)1 Sun 117,20   (0-360) Mercury 126,48   (0-360) Venus 76,56      (0-360) Mars 85,56      (0-360) Jupiter 280,51   (0-360) Saturn 7,24      (0-360) Uranus 302,49   (0-360) Neptune 296,20   (0-360) Pluto 240,27   (0-360) True Node1 190,41   (0-360) Chiron1 189,45   (0-360) PF1 264,19   (0-360) Vertex1 81,42      (0-360) Lilith 122,58   (0-360) Horizon1 219,35   (0-360) Imum Coeli1 317,11   (0-360) 8th cusp1 98,36   (0-360) Mercury Direction D   (options: D=Direct, R=retrograde,          SD=stationary direct, SR=stationary       retrograde) Venus Direction D    Mars Direction D    Jupiter Direction R    Saturn Direction R    Uranus Direction R    Neptune Direction R    Pluto Direction R    Chiron Direction D    Part II   2-dimensional       level1 SunMoon1 44,84      (-360 - 360)1 SunMercury -9,28      (-360 - 360) SunVenus 40,64      (-360 - 360) SunMars 31,64      (-360 - 360) SunJupiter -163,31   (-360 - 360) SunSaturn 109,96   (-360 - 360) SunUranus -185,29   (-360 - 360) SunNeptune -179,00   (-360 - 360) SunPluto -123,07   (-360 - 360) SunTrueNode -73,21   (-360 - 360) SunChiron -72,25   (-360 - 360) SunPF 146,99   (-360 - 360) SunVertex -35,78   (-360 - 360) SunLilith -5,38      (-360 - 360) SunHorizon 102,15   (-360 - 360) SunIC 199,91   (-360 - 360) Sun8thcusp -18,84   (-360 - 360) MoonMercury 35,56      (-360 - 360) MoonVenus 85,48      (-360 - 360) MoonMars 76,48      (-360 - 360) MoonJupiter -118,47   (-360 - 360) MoonSaturn 154,80   (-360 - 360) MoonUranus -140,45   (-360 - 360) MoonNeptune -134,16   (-360 - 360) MoonPluto -78,23   (-360 - 360) MoonTrueNode -28,37   (-360 - 360) MoonChiron -27,41   (-360 - 360) MoonPF # (parasta laskea)   (-360 - 360) niin ei tarv selitellŠ MoonVertex -80,62   (-360 - 360) MoonLilith 39,46      (-360 - 360) MoonHorizon 57,31      (-360 - 360) MoonIC 155,07   (-360 - 360) Moon8thcusp -63,68   (-360 - 360) MercuryVenus 49,92      (-360 - 360) MercuryMars 40,92      (-360 - 360) MercuryJupiter -154,03   (-360 - 360) MercurySaturn 119,24   (-360 - 360) MercuryUranus -176,01   (-360 - 360) MercuryNeptune -169,72   (-360 - 360) MercuryPluto -113,79   (-360 - 360) MercuryTrueNode -63,93   (-360 - 360) MercuryChiron -62,97   (-360 - 360) MercuryPF 137,71   (-360 - 360) MercuryVertex -45,06   (-360 - 360) MercuryLilith 3,90      (-360 - 360) MercuryHorizon 92,87      (-360 - 360) MercuryIC 190,63   (-360 - 360) Mercury8thcusp -28,12   (-360 - 360) VenusMars -9,00      (-360 - 360) VenusJupiter -203,95   (-360 - 360) VenusSaturn 69,32      (-360 - 360) VenusUranus -225,93   (-360 - 360) VenusNeptune -219,64   (-360 - 360) VenusPluto -163,71   (-360 - 360) VenusTrueNode -113,85   (-360 - 360) VenusChiron -112,89   (-360 - 360) VenusPF 187,63   (-360 - 360) VenusVertex 4,86      (-360 - 360) VenusLilith -46,02   (-360 - 360) VenusHorizon 142,79   (-360 - 360) VenusIC 240,55   (-360 - 360) Venus8thcusp 21,80   (-360 - 360) Mars Jupiter -194,95   (-360 - 360) MarsSaturn 78,32      (-360 - 360) MarsUranus -216,93   (-360 - 360) MarsNeptune -210,64   (-360 - 360) MarsPluto -154,71   (-360 - 360) MarsTrueNode -104,85   (-360 - 360) MarsChiron -103,89   (-360 - 360) MarsPF 178,63   (-360 - 360) MarsVertex -4,14      (-360 - 360) MarsLilith -37,02   (-360 - 360) MarsHorizon 133,79   (-360 - 360) MarsIC 231,55   (-360 - 360) Mars8thcusp 12,80      (-360 - 360) 1= Please refer ”TERMS EXPLAINED” 3. Background variables           reviewed TORNADOES IN TIME The oldest observation in this study is from 1807, the newest from 2003. 78% of the observations are post 1950`s. 17% is from 1900 to 1950. 5% of the data is collected from 19th century. MONTH Nearly half of the tornadoes in this study occurred in typical rush time of Spring: March, April and May. In the table below the tornado observation is listed through out the year TABLE 3.1 TORNADO FREQUENCY BY MONTH JANUARY   35      5% FEBRUARY   44      6% MARCH      103      13% APRIL      119      15% MAY         147      19% JUNE      66      9% JULY      57      7% AUGUST   37      5% SEPTEMBER   37      5% OCTOBER   36      5% NOVEMBER   66      9% DECEMBER   22      3% DAY OF THE WEEK TABLE 3.2    TORNADO FREQUENCY BY             WEEKDAY          Count:   Percent:    Sunday   119      17 %    Monday   100      14 %    Tuesday   76      11 %    Wednesday   86      13 %    Thursday   109      16 %    Friday   104      15 %    Saturday   93      14 % TIME OF THE DAY The ”rush hours” for tornadoes exist according to this study materiel. ”Rush hours” seems to be the two hours period6 of 1600 to 1800 which took nearly 22% share of all tornadoes. That is 2,60 time above the average. 6=* Please refer ”Speculations” 551 observation out of total 739 measured with precise clock time occurred during the hours of 1200-2200. That is 75% of tornado occurring during the 10 hours. This period would seem to have some meaning according this study while probability tornado occurrence is 1,8 times higher than would be the average. (tavalaan tarpeeton printaus vaiheessa voit pyyhkiŠ) Correspondingly during the early hours to morning (from midnight to 9 am.) tornadoes took the share of only 14,6% which were 0,39 times less than would be the normal average. Below the frequencies and percentages is reported by hour. TABLE 3.3. TORNADO FREQUENCY BY HOUR    time      Count Percent 1   0   100   12   1,6% 2   100   200   19   2,6% 3   200   300   18   2,4% 4   300   400   15   2,0% 5   400   500   9   1,2% 6   500   600   13   1,8% 7   600   700   10   1,3% 8   700   800   6   0,8% 9   800   900   7   0,9% 10   900   1000   11   1,5% 11   1000   1100   6   0,8% 12   1100   1200   24   3,2% 13   1200   1300   39   5,3% 14   1300   1400   34   4,6% 15   1400   1500   45   6,1% 16   1500   1600   70   9,5% 17   1600   1700   78   10,5% 18   1700   1800   82   11,1% 19   1800   1900   60   8,1% 20   1900   2000   63   8,5% 21   2000   2100   49   6,6% 22   2100   2200   31   4,2% 23   2200   2300   17   2,3% 24   2300   2400   21   2,8% FUJITA-SCALE The coded data of Fujita scale was available for 552 tornadoes.In below table the intensity of tornadoes in this study is listed. TABLE 3.4. TORNADO INTENSITY BY              FUJITA-SCALE       count:   percentage:    F0   82      14,85%    F1   136      24,64%    F2   219      39,67%    F3   75      13,59%    F4   34      6,16%    F5   6      1,08% KILLER-TORNADOES 34% of tornadoes in this study was killer tornadoes, meaning they affected the loss of a human life. This was the DATA SAMPLE C. In the below is table which details the Killer-tornadoes by giving information of lives lost. TABLE 3.5. KILLERTORNADOES BY LOSS             OF LIFE casualties         percentage: 1 person loss      46% 2 persons loss      16% 3 persons loss      9% 4-10    person loss   12% > 10    person loss   17% Note* Maximum amount of loss of life as well as injuries with single tornado day outburst of tornado was 695 person (with injured 2027). REFERENCES: 1 2 3 4 To notice. Dividing the frequency to 12 subgroups is equivalent to the 12 ”signs” of astrology. In the table below the Sections and Astrological sings are introduced. 5 6 7 4. OBSERVATIONS 4.1 States in this study Table below presents all the states in alphabetical order and the frequency of tornadoes which were included in this study. TABLE 4.1 STATES IN THIS STUDY2 (TARKASTA osavaltiot lyhenteet ovat oikein, kun kerran haet kansalaisuutta..vai menikš pupu pšksyyn, jos meni niin millŠ peruteella on syytŠ muuttaa mielensŠ?, ajelhetimineko auttaisi elŠmŠssŠ?)          observations ALABAMA    (AL)    301 ARKANSAS     (AR)   14 ARIZONA     (AZ)   1 FLORIDA    (FL)   7 GEORGIA    (GA)   10 ILLINOIS    (IL)   9 INDIANA    (IN)    2 KANSAS   (KS)    5 KENTUCKY    (KY)   7 LOUSIANA   (LA)   4 MARYLAND   (MD)   121 MICHIGAN?   (MI)   2 MINNESOTA    (MN)   4 MISSOURI????   (MO)   12 MISSISSIPPI??   (MS)   9 NORTH CAROLINA   (NC)   3 NORTH DAKOTA   (ND)   1 NEBRASKA   (NE)   1 NEW JERSEY   (NJ)   1 NEW MEXICO   (NM)   1 OHIO   (OH)   6 OKLAHOMA   (OK)   77 PENNSYLAVNIA   (PA)   2 SOUT CAROLINA?   (SC)   4 SOUTH DAKOTA?   (SD)   3 TENNESSEE   (TN)   17 TEXAS   (TX)   16 UTAH   (UT)   2 VIRGINIA   (VA)   81 WEST-VIRGINIA       1 ??WISCONSIN   (WI)   2 5. LIMITATIONS OF BACKGROUND INFORMATION While some states like Maryland listed tornadoes extensively with a lot of sensible information this was not the usual case while obtaining the information from internet. Accordingly background variables could be used occasionally not in organised matter. Regrettably rare were the cases when the instant damages could have been estimated in dollars, which would have been one of the most objective variables for a measurement. (jatko tarpeetonta) REFERNCES 2=appendix The removed tornadoes represented those which occurred on a same calendar day while my research apporach kept it important that there would become only one observation to each calendar day avoiding all possible biases when reseraching General Tornado Theory with SLOW GAUGES being in key position in a such fundamental perspective which is a pilot reaserch. 4= To notice. Dividing the frequency to 12 subgroups is equivalent to the 12 ”signs” of astrology. In the table below the Sections and Astrological signs are introduced. As well the datafile can be divided by any amount of sequences up to which sample size provides
2= Below table includes all tornadoes, including multiple outbreaks and overlapped days
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Chapter 5. Database Introduced THE SAMPLE Asycnhronic Gauges A. Sample size The sample size in this study was alltogether 769 tornadoes. Of these 288 observation was excluded from database during the most of the analyses. This was executed to fullfill the specific research criterias2 of this study. The whole size of the sample was used when specific reseach criterias was not necessary to fullfill3 making 481 tornadoes the sample size for most of the studies. B. Forming the control groups The database was organised to three control groups. The three group is named in this study DATA SAMPLE A, DATA SAMPLE B and DATA SAMPLE C. They consist observations presented in the table below. TABLE 5.1 NUMBER OF OBSERVATIONS        IN CONTROL GROUPS             number of                      observations DATA SAMPLE A      481 DATA SAMPLE B      326 DATA SAMPLE C      155 DATA SAMPLE A consist all the tornadoes left after excluding observations which happened on a same calendar day4 and year (eg. multiple outbreaks). 4= PLEASE REFER: ”Researc Approach” to get more detailed DATA SAMPLE B Consists tornadoes which did not involve the loss of human lives. DATA SAMPLE C Consists tornadoes which did occurred with casualties (deaths). Data sample C equals with so called ”Killer-Tornadoes”. C. Methods of manipulating control groups The sample size in this study set limitations of analysing data. Analysing in subgroups was limited. Unless specially announced, the frequencies of each variable is divided and analysed in 12 sections4. Splitting this information further by more profiling variables e.g. the fortitude of tornado, the cost effects etc. was not carried through in this study due to the limits of the resources. VARIABLES INTRODUCED Below research variables are introduced to those who are interested of the organisation of the database. The variables used are listed in equivalent order below and the equivalent content in the database is shortly depicted by an example. Also the used numeral or categorical range of the each variable is mentioned. State MD County/District Carroll County Town, Village/Area Gamber Stormtype Tornado (Killer-Tornado) Path Wide (yrds) 350   (0-1000) Path Length (miles/1000)1 2250   (0-135000) Intensity by Fujita Scale F3   (F0-F5) Death Casualties 0 Injured 3 $ Primary material losses $ 5.000.000 Material losses short.depiction ”66 homes were damaged of which 12 were destroyed” (Extract reference in a one sentence) Multiple Outbreaks or Tornadoes on same Calendar Day? 0   (0=no, 2-20 there is equivalent    amount of tornadoes on same calendar    day) Day of the Week Wednesday   (Sunday-Saturday) Hour 1435      (0000-2400) Day 19   (1-31) Month 7   (1-12) Year 1996 ------------ FRAMEWORK VARIABLES1 Part I   1-dimensional       level1 Moon 162,04   (0-360)1 Sun 117,20   (0-360) Mercury 126,48   (0-360) Venus 76,56      (0-360) Mars 85,56      (0-360) Jupiter 280,51   (0-360) Saturn 7,24      (0-360) Uranus 302,49   (0-360) Neptune 296,20   (0-360) Pluto 240,27   (0-360) True Node1 190,41   (0-360) Chiron1 189,45   (0-360) PF1 264,19   (0-360) Vertex1 81,42      (0-360) Lilith 122,58   (0-360) Horizon1 219,35   (0-360) Imum Coeli1 317,11   (0-360) 8th cusp1 98,36   (0-360) Mercury Direction D   (options: D=Direct, R=retrograde,          SD=stationary direct, SR=stationary       retrograde) Venus Direction D    Mars Direction D    Jupiter Direction R    Saturn Direction R    Uranus Direction R    Neptune Direction R    Pluto Direction R    Chiron Direction D    Part II   2-dimensional       level1 SunMoon1 44,84      (-360 - 360)1 SunMercury -9,28      (-360 - 360) SunVenus 40,64      (-360 - 360) SunMars 31,64      (-360 - 360) SunJupiter -163,31   (-360 - 360) SunSaturn 109,96   (-360 - 360) SunUranus -185,29   (-360 - 360) SunNeptune -179,00   (-360 - 360) SunPluto -123,07   (-360 - 360) SunTrueNode -73,21   (-360 - 360) SunChiron -72,25   (-360 - 360) SunPF 146,99   (-360 - 360) SunVertex -35,78   (-360 - 360) SunLilith -5,38      (-360 - 360) SunHorizon 102,15   (-360 - 360) SunIC 199,91   (-360 - 360) Sun8thcusp -18,84   (-360 - 360) MoonMercury 35,56      (-360 - 360) MoonVenus 85,48      (-360 - 360) MoonMars 76,48      (-360 - 360) MoonJupiter -118,47   (-360 - 360) MoonSaturn 154,80   (-360 - 360) MoonUranus -140,45   (-360 - 360) MoonNeptune -134,16   (-360 - 360) MoonPluto -78,23   (-360 - 360) MoonTrueNode -28,37   (-360 - 360) MoonChiron -27,41   (-360 - 360) MoonPF # (parasta laskea)   (-360 - 360) niin ei tarv selitellŠ MoonVertex -80,62   (-360 - 360) MoonLilith 39,46      (-360 - 360) MoonHorizon 57,31      (-360 - 360) MoonIC 155,07   (-360 - 360) Moon8thcusp -63,68   (-360 - 360) MercuryVenus 49,92      (-360 - 360) MercuryMars 40,92      (-360 - 360) MercuryJupiter -154,03   (-360 - 360) MercurySaturn 119,24   (-360 - 360) MercuryUranus -176,01   (-360 - 360) MercuryNeptune -169,72   (-360 - 360) MercuryPluto -113,79   (-360 - 360) MercuryTrueNode -63,93   (-360 - 360) MercuryChiron -62,97   (-360 - 360) MercuryPF 137,71   (-360 - 360) MercuryVertex -45,06   (-360 - 360) MercuryLilith 3,90      (-360 - 360) MercuryHorizon 92,87      (-360 - 360) MercuryIC 190,63   (-360 - 360) Mercury8thcusp -28,12   (-360 - 360) VenusMars -9,00      (-360 - 360) VenusJupiter -203,95   (-360 - 360) VenusSaturn 69,32      (-360 - 360) VenusUranus -225,93   (-360 - 360) VenusNeptune -219,64   (-360 - 360) VenusPluto -163,71   (-360 - 360) VenusTrueNode -113,85   (-360 - 360) VenusChiron -112,89   (-360 - 360) VenusPF 187,63   (-360 - 360) VenusVertex 4,86      (-360 - 360) VenusLilith -46,02   (-360 - 360) VenusHorizon 142,79   (-360 - 360) VenusIC 240,55   (-360 - 360) Venus8thcusp 21,80   (-360 - 360) Mars Jupiter -194,95   (-360 - 360) MarsSaturn 78,32      (-360 - 360) MarsUranus -216,93   (-360 - 360) MarsNeptune -210,64   (-360 - 360) MarsPluto -154,71   (-360 - 360) MarsTrueNode -104,85   (-360 - 360) MarsChiron -103,89   (-360 - 360) MarsPF 178,63   (-360 - 360) MarsVertex -4,14      (-360 - 360) MarsLilith -37,02   (-360 - 360) MarsHorizon 133,79   (-360 - 360) MarsIC 231,55   (-360 - 360) Mars8thcusp 12,80      (-360 - 360) 1= Please refer ”TERMS EXPLAINED” 3. Background variables           reviewed TORNADOES IN TIME The oldest observation in this study is from 1807, the newest from 2003. 78% of the observations are post 1950`s. 17% is from 1900 to 1950. 5% of the data is collected from 19th century. MONTH Nearly half of the tornadoes in this study occurred in typical rush time of Spring: March, April and May. In the table below the tornado observation is listed through out the year TABLE 3.1 TORNADO FREQUENCY BY MONTH JANUARY   35      5% FEBRUARY   44      6% MARCH      103      13% APRIL      119      15% MAY         147      19% JUNE      66      9% JULY      57      7% AUGUST   37      5% SEPTEMBER   37      5% OCTOBER   36      5% NOVEMBER   66      9% DECEMBER   22      3% DAY OF THE WEEK TABLE 3.2    TORNADO FREQUENCY BY             WEEKDAY          Count:   Percent:    Sunday   119      17 %    Monday   100      14 %    Tuesday   76      11 %    Wednesday   86      13 %    Thursday   109      16 %    Friday   104      15 %    Saturday   93      14 % TIME OF THE DAY The ”rush hours” for tornadoes exist according to this study materiel. ”Rush hours” seems to be the two hours period6 of 1600 to 1800 which took nearly 22% share of all tornadoes. That is 2,60 time above the average. 6=* Please refer ”Speculations” 551 observation out of total 739 measured with precise clock time occurred during the hours of 1200-2200. That is 75% of tornado occurring during the 10 hours. This period would seem to have some meaning according this study while probability tornado occurrence is 1,8 times higher than would be the average. (tavalaan tarpeeton printaus vaiheessa voit pyyhkiŠ) Correspondingly during the early hours to morning (from midnight to 9 am.) tornadoes took the share of only 14,6% which were 0,39 times less than would be the normal average. Below the frequencies and percentages is reported by hour. TABLE 3.3. TORNADO FREQUENCY BY HOUR    time      Count Percent 1   0   100   12   1,6% 2   100   200   19   2,6% 3   200   300   18   2,4% 4   300   400   15   2,0% 5   400   500   9   1,2% 6   500   600   13   1,8% 7   600   700   10   1,3% 8   700   800   6   0,8% 9   800   900   7   0,9% 10   900   1000   11   1,5% 11   1000   1100   6   0,8% 12   1100   1200   24   3,2% 13   1200   1300   39   5,3% 14   1300   1400   34   4,6% 15   1400   1500   45   6,1% 16   1500   1600   70   9,5% 17   1600   1700   78   10,5% 18   1700   1800   82   11,1% 19   1800   1900   60   8,1% 20   1900   2000   63   8,5% 21   2000   2100   49   6,6% 22   2100   2200   31   4,2% 23   2200   2300   17   2,3% 24   2300   2400   21   2,8% FUJITA-SCALE The coded data of Fujita scale was available for 552 tornadoes.In below table the intensity of tornadoes in this study is listed. TABLE 3.4. TORNADO INTENSITY BY              FUJITA-SCALE       count:   percentage:    F0   82      14,85%    F1   136      24,64%    F2   219      39,67%    F3   75      13,59%    F4   34      6,16%    F5   6      1,08% KILLER-TORNADOES 34% of tornadoes in this study was killer tornadoes, meaning they affected the loss of a human life. This was the DATA SAMPLE C. In the below is table which details the Killer-tornadoes by giving information of lives lost. TABLE 3.5. KILLERTORNADOES BY LOSS             OF LIFE casualties         percentage: 1 person loss      46% 2 persons loss      16% 3 persons loss      9% 4-10    person loss   12% > 10    person loss   17% Note* Maximum amount of loss of life as well as injuries with single tornado day outburst of tornado was 695 person (with injured 2027). REFERENCES: 1 2 3 4 To notice. Dividing the frequency to 12 subgroups is equivalent to the 12 ”signs” of astrology. In the table below the Sections and Astrological sings are introduced. 5 6 7 4. OBSERVATIONS 4.1 States in this study Table below presents all the states in alphabetical order and the frequency of tornadoes which were included in this study. TABLE 4.1 STATES IN THIS STUDY2 (TARKASTA osavaltiot lyhenteet ovat oikein, kun kerran haet kansalaisuutta..vai menikš pupu pšksyyn, jos meni niin millŠ peruteella on syytŠ muuttaa mielensŠ?, ajelhetimineko auttaisi elŠmŠssŠ?)          observations ALABAMA    (AL)    301 ARKANSAS     (AR)   14 ARIZONA     (AZ)   1 FLORIDA    (FL)   7 GEORGIA    (GA)   10 ILLINOIS    (IL)   9 INDIANA    (IN)    2 KANSAS   (KS)    5 KENTUCKY    (KY)   7 LOUSIANA   (LA)   4 MARYLAND   (MD)   121 MICHIGAN?   (MI)   2 MINNESOTA    (MN)   4 MISSOURI????   (MO)   12 MISSISSIPPI??   (MS)   9 NORTH CAROLINA   (NC)   3 NORTH DAKOTA   (ND)   1 NEBRASKA   (NE)   1 NEW JERSEY   (NJ)   1 NEW MEXICO   (NM)   1 OHIO   (OH)   6 OKLAHOMA   (OK)   77 PENNSYLAVNIA   (PA)   2 SOUT CAROLINA?   (SC)   4 SOUTH DAKOTA?   (SD)   3 TENNESSEE   (TN)   17 TEXAS   (TX)   16 UTAH   (UT)   2 VIRGINIA   (VA)   81 WEST-VIRGINIA       1 ??WISCONSIN   (WI)   2 5. LIMITATIONS OF BACKGROUND INFORMATION While some states like Maryland listed tornadoes extensively with a lot of sensible information this was not the usual case while obtaining the information from internet. Accordingly background variables could be used occasionally not in organised matter. Regrettably rare were the cases when the instant damages could have been estimated in dollars, which would have been one of the most objective variables for a measurement. (jatko tarpeetonta) REFERNCES 2=appendix The removed tornadoes represented those which occurred on a same calendar day while my research apporach kept it important that there would become only one observation to each calendar day avoiding all possible biases when reseraching General Tornado Theory with SLOW GAUGES being in key position in a such fundamental perspective which is a pilot reaserch. 4= To notice. Dividing the frequency to 12 subgroups is equivalent to the 12 ”signs” of astrology. In the table below the Sections and Astrological signs are introduced. As well the datafile can be divided by any amount of sequences up to which sample size provides
2= Below table includes all tornadoes, including multiple outbreaks and overlapped days

Anonyymi
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