The stage of the maximum LOD values on the scale of individual years is denoted as 5, whereas the minimum ones – as 1. In this case, there might be such a situation: the peak LOD value in the current year is followed by its decline in the next year, and then it soars again. In this case, stages of cycles 3-4 and 7-9 can be observed and denoted only on a monthly data scale. On an annual scale we simply will not be able to denote them in the table and on the graph. The number of years between them is not enough to denote steps 3-4 and 7-9. Hence, percentage of the different stages in the table and on the graph is different.
Code 1 denotes 13 years. This is 23.6 percent of all graph points.
Code 5 also denotes 13 years. This is also 23.6 percent of all graph points.
1 and 5 constitute 47.2 percent of all graph points.
Therefore, assignment of the major part of all records to stages 1 and 5 should be attributed to their representation rate in the table. This is noted to prevent the hasty emotions in regard of the relationship between the points of cycles 1 and 5 and the outstanding sports achievements. The situation is a little more complicated.
Although there are bold relationships. But they are more visible on a larger time scale: bifurcation points of human development are related to points 1 and 5 of the cosmic energy change cycles. But in order to prove it other graphs and approaches are necessary.
Let's use one of them.
2.2 Relationship between the birth dates of outstanding Russian and world athletes and the Earth's LOD in annual cycles
Let's combine the Earth's rotational velocity with the years of birth of athletes who have set world records since the first available accurate data on the Earth's LOD until 1998, almost until the end of the XX century.
The correlation coefficient between the Earth's LOD and the number of outstanding athletes born in the world that year (between columns 9 and 11) equals – 0.08. Zero correlation. In other words – there is no linear relationship.
The correlation between the Earth's LOD and the number of born outstanding athletes in Russia (columns 6 and 11) equals -0.45. In Russia, the birth rate of outstanding athletes is strongly related to the Earth's rotational velocity. Most prominent Russian athletes were born during growth of the Earth's rotational velocity. Recall: cereals also grow better thereat.
So are Russian sports achievements more dependent on cosmic energies in the year of birth? Are we a cosmic dependent nation?
Peculiar data. From these data, along with the related evidence, follows the conclusion of our greater dependence on cosmic energy. Therefore, we shall be comprehensively evidential, statistically and factually valid. Athlete lists from the Internet. LOD data from laboratories around the world. Everything can be easily crosschecked.
Let's calculate correlation coefficients between the various parameters listed in the table.
The correlation coefficient between the average LOD value for a given year and the number of born women-world champions (between columns 8 and 11) equals -0.1 (minus 0.1).
The correlation coefficient between the LOD and the number of born men-champions (columns 7 and 11) equals – -0.16 (minus 0.16).
The correlation coefficient between the LOD and the number of born athletes-champions in Russia for a given year equals – 0.45 (minus 0.45).
Are Russian male athletes more dependent on cosmic energies related to the Earth's rotation than women? From this (along with the related evidence) follow important conclusions about Russian women in general. If the necessary cosmic energies are absent – men are discouraged, whereas Russian women can overcome difficulties in this period, too… According to some data, they pump cosmic energy more effectively, according to the other – they less depend on it.
This is important. Let's present the data in the form of graphs.
Consider that Russian men are more dependent in their achievements on cosmic energies of this type than women.
Let's present the obtained data by comparing more conventional graphs.
The relationship is not random. As well as the most well-known terrorists in the world, outstanding world athletes in track-and-field athletics and weight-lifting were more often born during the high Earth's rotational velocity. However, records were more often set during the low Earth's rotational velocity. Considering terrorists around the world, the attacks were committed by the representatives of Islamic countries more often during the years of the low Earth's rotational velocity as well.
This affords ground for efforts in understanding the differences of how the nations and nationalities perceive cosmic energies. We are interested in how Russia does it. By years of birth we differ from the rest of the world (time of birth bears the imprint of cosmic energies of that time). And what about the time of setting the records?
2.3 A relationship between the time of setting the outstanding sports records in the world and in Russia, and the Earth's LOD in annual cycles
Data agreement (correlation) between these indicators at different time periods is different.
Correlation coefficients fluctuate partly due to a small amount of data for each year. This is true.
Adding data by considering not only the champions but also the prizewinners that took 2-3 places will unwittingly lead to "noising" the selection criteria. In this case it is better to sacrifice quantity to analyze really outstanding records.
But the prudent conclusion is: "we are very different from the others". Russian relationships are more closely related to the Earth's rotational velocity, and sometimes in the opposite way than for the rest of the world.
Let's combine data on the world and Russian records (however, among the world champions there are Russians). Let's make a combined graph of the number of world and Russian sports records in a given year and the average Earth's LOD value this year.
In the given example, the correlation coefficient between the Earth's LOD and the number of records set during that year equals zero. R = 0.
Let's show this relationship on a graph.
There are statistical relationships between the variables. This is a classic case where the linear correlation coefficient is worse than the graphic relationship representation. Since for the different historical periods we have different relationships.
Therefore, we provide graphs for the periods from 1980 to 1991 and from 1992 to 2016.
By breaking the data into two time periods we obtain the correlation coefficients worthy of our reflection.
In one case, correlation coefficient is negative, in the other – positive.
Remember that 1991 is the year of collapse of the USSR. Also, this is the time of dramatic changes in the number of various diseases in Russia per 100000 people, etc.
This suggests that the period between 1991 – 1993 is the time of changes of the cosmic energies that affected Russia greater than other countries. This influence even