Solar Rotation Effects part 2 - The Gauquelin data

Abstract

Some of the Gauquelin professional effects are considered in relation to the 27.3-day cycle mapped by the Moon in the zodiac, which may also be a solar-rotational period.

Evidence is found that the Gauquelin Effect in some professional groups are correlated with this cycle. The SA-UR cycle is also proposed as a convenient way of assessing possible effects of the 11.2-yr Schwabe (Sunspot) Cycle, which allows simple calculation and distinguishes the four Schwabe Cycles within each SA-UR, instead of assuming that they are all alike. Births of eminent professionals are shown to have different distributions across the SA-UR cycle depending on whether a Gauquelin planet is placed in the Key Sectors or in the minor Plus-zones. The place of social effects in relation to the Gauquelin data is discussed. 

 The Squarespace software only allows text to be uploaded, so I’ve only posted the Abstract and the intro. The who article can be found on my page on Researchgate.net and the DOI is 10.13140/RG.2.2.21745.24164

Introduction 

Part 1 (Douglas 2025) set out from Michel Gauquelin’s study of possible zodiacal effects among his various groups of eminent professionals (M. Gauquelin 1978) in which he noted two curious results but dismissed them as anomalies, since they only occurred for one body (The Moon) and only involved the distribution of the births in two professions, writers (N = 1352) and scientists (N = 1094). In both cases the patterns were dominated by a pair of peaks in opposite positions in the zodiac cycle, in Gemini and Sagittarius for writers and overlapping these signs and the neighbouring decanates of Scorpio and Taurus among scientists.

The very significant deviations from the means as well as the consistent structuring into opposing pairs of peaks strongly suggested something other than random variations, and the first part of this report was an attempt to gather more data.

A further surprising result followed: when the same data was plotted against the 29.5-day Lunation cycle – for which more evidence of possible lunar effects exists - the result was an amorphous splatter.

At around the same time however I had been reading several reports of solar activity at birth influencing the length of subsequent lifespans, and it also occurred to me that 27.3 days is very close to the period of rotation of the sun on its axis – could there be a solar connection as well as, or masked by, the apparent Lunar zodiacal one?

The first part of this report (Douglas 2025) therefore consisted in attempts to do two things. First to find ways of distinguishing between possible solar and lunar influences, taking advantage of the many unique complexities of the lunar orbit, and second to look for possible connections to longevity in datasets where dates of death were available.

Attempts to distinguish solar from lunar were not conclusive, some lunar parameters produced correlations others not, while two other Gauquelin datasets showed pairs of opposing peaks as well as others at 90 0 separations (Gauquelin New Murderers (N = 622) and Liberation Fighters (N=616)). This result for murderers is noteworthy because they showed no sign of a Mars Effect, as Michel Gauquelin noted (Gauquelin 1984), suggesting that the Moon in Zodiac effect is separate from the Gauquelin Effect.

To follow the second pathway, three sets of data were available with dates of death (Mathematicians, Muller’s German aristocrats and Gauquelin data on ordinary people collected in Paris hospitals), which all showed pairs of opposing peaks in their lunar zodiac distributions for certain ranges of lifespan. So, whatever the source of these variations there is clear evidence of replication of structured variations of birth dates with the 27.3-day cycle.

At this stage there are thus three paths to pursue –

1. to investigate whether the Gauquelin Effect is correlated with the lunar zodiac cycle,

2. to look for possible signs of other solar activity patterns, such as the Sunspot Cycle,

3. to collect lifespan data for the Gauquelin eminent professionals and use them for the two investigations just listed.

The present report

The first two paths are followed some distance now, and a new method for rapidly assessing possible influence of the Sunspot (Schwabe) Cycle and other longer cycles in astro-research data is described.

Collecting dates of death for the third pathway is a time-consuming task even with online databases and up to 25% of the necessary data is not available, nevertheless four Gauquelin professions have been studied so far with promising results, and will be reported separately: Writers, Scientists, Actors, Politicians. The data on Scientists was supplemented with the published list of Nobel Prize winners in Physics and Chemistry after excluding the very small number of people who are also present among the Gauquelin Scientists. The Nobel data only has missing dates of death for those who are still alive.

In the context of astrological research, it is important to investigate whether the 27-day cycle effects proposed in Part 1 are involved in the well-known Gauquelin Planetary effects for eminent professionals. The data below show that the answer depends on the profession.

The Gauquelin Effect and the Moon in the zodiac

In evaluating the possibility that the Gauquelin Effect in general might be correlated with a 27.3 - day cycle, an obvious starting point is the strong peaks in the lunar zodiacal cycle for Writers and Scientists, which were the spur to begin this investigation. Accordingly, I extracted the births in these peak regions of the lunar zodiac graph and plotted their variation across Gauquelin sectors for each of the four Gauquelin planets JU, VE, MA, and SA for Writers. The result was clear – completely insignificant variations, which leaves us with a puzzle. Nevertheless 27.3-day modulations of Gauquelin Effects innother professions were found, which I will now describe.

We can now consider two cases with exceptionally clear results. In the case of Actors and Politicians, (considered together because both show clear excesses of Jupiter in the Key Sectors (36-3 and 9-12)), there is a statistically significant increase in the Gauquelin Effect when the total data (N = 2410) are filtered by extracting only the births with peaks in the Moon’s zodiac position, see Fig.1