--- In [email protected], off_world_beings 
<[EMAIL PROTECTED]> wrote:
>
> --- In [email protected], "sparaig" <[EMAIL PROTECTED]> 
wrote:
> >
> > --- In [email protected], off_world_beings 
> > <[EMAIL PROTECTED]> wrote:
> > >
> > > <<Unlikely to be the other factors that were considered, of 
> course. 
> > The
> > > problem with research like this is that you can never prove 
that 
> you
> > > allowed for ALL possible factors. This is why scientists prefer
> > > labratories to the "real world.">>>
> > > 
> > > Incorrect.
> > > And with all due respect, one can, to a large extent, 
eradicate, 
> or 
> > > reduce to insignificant, the possibility that an effect/result 
> is 
> > due 
> > > to other possible factors within a statistical analytical study.
> > > 
> > > For example: Quote: 
> > > "Hagelin's study used time series analysis to rule out a long 
> list 
> > of 
> > > alternative explanations, including weather variables, seasonal 
> > > effects, changes in police surveillance, and trends and 
cyclical 
> > > patterns inherent in the crime data."
> > > http://istpp.org/crime_prevention/voodoo_rebuttal.html
> > > 
> > > OffWorld.
> > >
> > 
> > Assuming that this is the case, that still doesn't rule out some 
> > OTHER factor that wasn't considered, like I said...>>>
> 
> Yes it does. This is how statistical analysis works. It minimizes 
> the probability that it is due to some other factor, than the one 
> being observed.
>

Nope. There may be factors not considered that contributed. I'm not 
saying that there were any for real, but that you can't rule out a 
factor automatically that you didn't specifically examine. They 
examined every plausible alternate explanation for the findings that 
they could come up with and eliminated them as causes, but that 
cannot mean that they eliminated ALL possible alternate explanations.

If they could do this,then they could "prove" their claim. There is 
no such thing as scientific proof.






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