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Research is not a new concept for serious jyotishis. Journals like The Astrological Magazine and many others had been supporting and publishing research articles on novel aspects of Jyotish techniques as well as re-examining existing techniques for many decades since their inception. Given the enormous complexity of the Jyotish delineative process which incorporates an analysis of myriads of factors, that are then synthesised into a meaningful reading, research can be time consuming and difficult. Even as recently as a decade or so ago, there were not many jyotishis who had ready access to tools such as computers and software. Even the few software packages that were available often had quirks, and at times outright errors particularly in the area of newly programmed in features and techniques. Partly due to the internet, and to a massive renewal of interest, many otherwise hidden techniques have come to new light or have newly been proposed and found a place in popular software over the years. Not all of these have ever been adequately tested, or validated to produce reliable results and often the user is relegated to the role of being a paying-beta tester, at least during the first few versions of most software. Responses to complaints and suggestions have varied from one software company to another. Some incorporate suggestions right away, while others never respond back or make the change!
PATCHED Parashara\\\\\\\\\\\\\\'s Light 7 Vedic Astrology Software
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The research features in most Jyotish software are not powerful or suitable for examining a large numbers of horoscopes for conducting group analysis. Standalone research software has been available for western astrology (e.g., Jigsaw) but not for vedic astrology. The popular Parashara=s Light from Geovision lets one look at a group of charts in a .QCK format file and generates some statistics for factors such as aspects, dignities, shadbala strengths attained by planets in a group, or searching for rules such as number of charts with Jupiter aspecting the moon in a group. A commendable baby step, at best.
In recent years, The Astrodatabank software from Mark Donough has begun to add Jyotish factors and attributes to its research capabilities. Astrodatabank is a Microsoft Access-based database which contains birth data of varying qualities (clearly marked using alpha-categories (AA, A, B etc) essentially incorporating the famous Rodden Database. Late Lois Rodden, a Canadian astrologer from Saskatchewan had been a well-known pioneer in the area of birth data collection. The results of years of painstaking work by herself and her group has been available separately and as part of the Astrodatabank for some time (IDEA-ISAR data). The database now contains greater than 28,000 [add.: 60000+ now in 2021] birth data, many with biographical details and categorized in hundreds of different ways. It allows one to view the charts from different periods of time, different vocational categories, personality types, diseases, the list goes on. New data gets added all the time and the database is updated periodically by going online, through the internet. Birth data of celebrities and public figures coexist with thousands of data for ordinary regular folks, the nativities that most jyotishis typically give readings to.
With essentially over a million or more pieces of information available in the database, given all the categories, tags and flags for each record, it is absolutely essential that there exist powerful search, sort and filtering capabilities B such as are provided by MS Access. If you already have MS Access on your computer, you can use that; for the rest of us a run-time access utility is included with the software.
The printed and online documentation is pretty good, a bit concise in places, but detailed in others and the program, though initially a bit overwhelming due to its enormous lists of options and its capabilities is well organized and after some familiarity is very easy to use. Several views allow one to see the database in different ways. The site at is loaded with information, birth data, discussions, examples, and helpful material of all kind. The price of the program is comparable to most Jyotish programs and though not exactly inexpensive, represents good value for individuals who are seriously interested in conducting research as well as interested students because it provides one to experiment with data and real charts and the value of that kind of practical learning cannot be overstated. Subsequent upgrades tend to cost considerably less than the original price.
On one internet Jyotish forum, someone once mentioned emphatically that a certain combination leads to sexual excesses. In the past, no one would have the time or patience to actually pore over hundreds of charts and see if this is really the case. With Astrodatabank, it was easy for me to quickly test it and using a subset of the birth data, with the attributes of sexual excesses and deviations, a certain proportion of this group did indeed have the combination under examination. In order to see if it is a real effect, I next compared it with a subset of individuals who were saintly and otherwise holy men. Now I realize that a few of these *holy* men might have had some sexual issues, but for the purpose of this quick examination, I allowed for that data-contamination because it probably would not be significant. Well, lo and behold! The said combination was approximately in four times as many charts in the *sexual* group than the *saintly* group. This is where research gets tricky! Since the devil is always in the details and in the re-examination the obvious thing to test was if there was a sampling bias involved. Sure enough, the sample size of the sexual group was about four times larger than the saintly comparison group! The factor, therefore, was as prevalent in both groups and not significant! Proportion or percentage and not the absolute prevalence was the key in this case and a red herring was avoided (or perhaps captured!). The real point is that without the database, something like this could not possibly get tested in a few minutes and the comment made by someone on a Jyotish forum would have been accepted without question and would stick in many minds as the researched truth! Having the database also gives confidence in what we are testing or should test when opportunity arises.
In quantitative testing, likewise, one must not assume that all factors are equally distributed. If one tests something like the distribution of lagnas, one would find that certain lagnas tend to rise more commonly than others. These would tend to be the signs that are of long ascension, and hence rise for a longer duration than the others. The long ascension signs would depend also on the hemisphere of birth and seasons during which the birth took place. Again, the bottom-line is that lagnas are neither distributed equally across the signs, nor are the sun signs or moon signs. If we are not aware of these variabilities that lead to sampling bias, we risk arriving at wrong or misleading conclusions.
While filtering is quite useful, it is restrictive. With filters you are essentially weeding out unwanted criteria. However, if you wish to test several rules to see which one fits, other tools are available in Astrodatabank. For instance, if you want to test a certain association (energy-based healing ability, for example) and wish to identify all charts with sun in 3rd house or sun in exaltation in charts (not just 3rd house) you cannot do that in one operation using filters. If you try to, the list that will come back will show you how many charts have exalted sun in the 3rd house. This is where ASTROSIGNATURES come in handy. This feature allows one to define a series of rules and when these are applied to a database, you get the counts or hits for each of those rules in the sample tested. Based on the success rate, you can then add varying weights to the rules (essentially deciding that one rule is quantitatively more important than the other for the given effect. One can play with and fine tune the weights and see the effects on the statistics generated. In our example, using astrosignatures will tell us how many individuals had sun in 3rd, how many had the sun exalted anywhere in the horoscope, in a given collection (database) of charts.
The next level of examination would be to see how often a given combination is seen in horoscopes of individuals who are from the general population. These are generally called CONTROLs or the control group, since it controls or limits red-herrings or spurious effects (false positives or false negatives). Controls can come from the general population of real charts. They can be picked randomly. However, there is a practical problem. In order to do so, one would have to have a humongous database of high quality data. Another way of looking at this is that you want to find out how often the combination being examined is likely to arise during a period in time that is comparable to the range of birth data in the tested group. Astrodatabase uses four elements: year, month-date, time of day and elements (fire, earth, etc). It basically takes the range of birth years that your test sample contains and creates a control group within the same range so that one is not comparing a group born during the 80s with another group born in the 20s and thus having a completely different distribution of the slower moving planets, for instance. Also it makes sure that the control group has birth times and other factors distributed and not clustered and capable of giving rise to other kinds of sampling biases. The control group is generally about 10 times larger than the test group and so has more samples within the same range adding power to the testing. All of these factors and boundaries are customizable and can be tweaked and adjusted by the knowledgeable researcher.
Once the test has been run, usually taking few seconds to a few minutes depending on the speed of your computer and the size of the group of data B a report is generated that essentially gives you the number of charts that had the rules under examination (the non-zeros) and then a score which is derived by dividing the total score by the size of the groups. The scores obtained by the control group and experimental groups will indicate the relative usefulness of the individual rules. If the scores are the same or similar in experimental and control groups, then the rule is not good for identifying the studied effect or condition, but if there is a big difference then the combination (rule) is either indicating the influence of the presence or absence of the combination in indicating the astrological effect. In our energy-healing example if we find that the sun in 3rd is seen more commonly in the healers than the controls, then it is possibly associated with the group and useful. If the combination is seen a lot more times in the controls, then perhaps sun in 3rd is less likely to be associated in the charts of healers or would be healers. Readers must note that for ease of illustration, a single factor is used here; however in proper readings, many other factors need to be considered and therefore when testing or researching, a variety of factors are used for testing and not just one or two. On the other hand, testing large numbers of rules can get confusing, therefore it is a good idea to test a batch, eliminate the less useful ones and keep on building the astrosignature patterns, fine tuning the set all the time. The software allows one to save and load libraries or lists of astrosignatures. These can be saved as separate astrosignature files with short description added, in case some of these need to be reused later.
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