akasha_108,

As Einstein has proved, the simplest formula is the best formula to 
describe nature's laws.  If you have a theory that's effective, you 
should be able to use the variable sets available in jyotish, such as 
the 9 grahas and 12 houses in the natal chart.

Jyotish is a very sophisticated model of human values and 
interactions.  It needs a knowledgeable person to use the model to 
describe reality and possible trends of the future based on known 
possibilities.

Regards,

John R.






--- In FairfieldLife@yahoogroups.com, akasha_108 <[EMAIL PROTECTED]> 
wrote:
> --- In FairfieldLife@yahoogroups.com, "markmeredith2002"
> <[EMAIL PROTECTED]> wrote:
> > --- In FairfieldLife@yahoogroups.com, "John" <[EMAIL PROTECTED]> wrote:
> > > Bhairitu,
> > > 
> > > A number of astrologers predicted bad times starting around the
> first of  September.  I remember one set posted here a couple months
> back  (plus I  remember hearing one for 2005 from a noted astrologer
> 10 years  ago).  
> > > > Astrology cannot precisely predict what is going to happen but
> the  propensity given the planetary configurations for what might 
>  happen.    Far better than  guessing.  Reality is all just the
> overtone series  from   the big bang
> 
> >  
> > There were probably 1 or 2 astrologers predicting bad times in 
Sept
> > and also a few astrologers predicting good times.  The 1 or 2
> > predicting bad times probably have predicted bad times on numerous
> > occasions and were wrong.  Astrologers have a way of conveniently
> > forgettting all the times they were wrong and advertising the few
> > times they're generally right.
> 
> 
> Thats why they should create a model of their prediction, then show
> using historic data why the model has some merit, make some future
> predictions based on the model, and then "publish" such.
> 
> 
> For example: quantitatively define "Bad times". Is it a decrease in
> GNP. Is it an increase in unemployment, crime, deaths, injuries? 
This
> would be the dependnet variable in a simple regression model. Lets 
say
>  the hypothesis, per jyothish theory, is that Sept through Dec 
should
> see significantly higher unemployment.
> 
> Then define the independent variables that one speculates drive
> variations over time of unemployment, both jyothish and
> economic/social. The jyotish variables might include:  Saturn
> transiting the 10th house (employment/ career), Jupiter being 
aspected
> by a malefic planet, etc. 
> 
> The economic variabels might include GNP, interest rates, foreign
> trade balances, weather variables, seasonal variables (for example, 
is
> it summer with lots more students working), corporate cashflow 
(funds
> available for re-investment) and tax rates. 
> 
> The model would have the form:
> 
> UnEmploy = S10 + JUmal + GNP + i + FT + Wea + Sea + CF + T + b 
> 
> -- b being the "error term" the unexplained factors which influence
> the dependnet variable.
> 
> 
> Testing this model specification would then require  a regression
> analysis (a common statistical method) over perhaps 20 years of
> monthly data to show which variables are significant in explaining 
the
> variation over time of unemployment. And which are not. Those that
> contribute nothing would be dropped from the model. Through 
iterative
> testing, after dropping insignificant variables a final model will
> result. 
> 
> If the jyotish variables contribute  to explaining the historic ups
> and downs of employment, then their predictive power will be
> demonstrated. If they contribute nothing to the explanatory power of
> the model, it would mean that, for this case, for this model, the
> jyotish variables provide no explanatory or predictive power. It 
would
> not prove jyotish was not effective, just that in this model
> specification, the chosen jyotish variables did not prove of any 
value. 
> 
> And if the jyotish variables do reamin in the model, 
the "coeficients"
> of each varible that the regression analysis provides, will indicate
> the relative effect of the jyotish variables, relative to any or all
> of the economic ones. For example, it might show that while  the
> jyotish variables do help explain the ups and downs of employment, 
the
> influence is only about 10% relative to the other economic 
variables. 
> 
> It would be highly unlikely that any model would find the jyotish
> model explain it all, that they by themselves, are both significant,
> and make the use of economic variables redundant. This implies that
> trying to predict economic or social events solely with the use of
> jyotish models will probably be ineffective, or quite vague at 
best. 
> 
> And such a regression based model will show the periods when a 
jyotish
> variable has an effect and, AS importantly, when it doesn't. For
> example, some jyotish predictions are of the form, such as in my
> adjacent post, "there will be peace between Country A and B over the
> next 12 months" because jupiter will transit the 7th house of
> relations. Gee, that sounds pretty specific and testable. But its
> bogus if there has been peace between country A and B for the past 
50
> years. An explanatpory variable -- such as jupiter transiting the 
7th
> house, is useful ONLY if something specific occurs during that 
period,
> and does NOT occur when when Juptier is not transiting the 7th 
house.
> If the conditions is always occuring, or always not occuring, then 
it
> is not prediction. Yet its amazing how may jyotish predictions take
> this form.
> 
> 
> Until this sort of analysis is done, repeatedly, over many different
> types of model specifications and dependent variables (crime, 
income,
> health, mortality rates etc.) over many regions and countries (or
> individuals) then jyotish will remain a hodgepodge of weak claims.




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