--- In [email protected], Peter <[EMAIL PROTECTED]> 
wrote:
>
> 
> 
> --- off_world_beings <[EMAIL PROTECTED]> wrote:
> 
> snip
> 
> > The research
> > grant system 
> > ensures that a researcher is under pressure to prove
> > their pet 
> > theory.
> 
> Another way of saying this is that the researcher is
> attempting to disprove the null hypothesis (i.e., that
> the event is not statistically possible). So there is
> an implicit bias in the very structure of statistical
> research. But how could you get around this? 
> 
> > <<<When professors at the
> > >  U of Iowa attempted to do, MUM refused to
> > cooperate with them.>>>
> > 
> > When was this? Where did you hear this?
> 
> I forgot his name, he's a sociologist at the U of I.>>>


He was probably an anti-TM born-again Chrisitan anyway.
I think you shoul dread this carefully:
http://istpp.org/crime_prevention/voodoo_rebuttal.html


> It is common scientific practice to allow your raw
> statistical data to be examined by other researchers.
> MIU/MUM would not allow this because, I suspect, that
> their number crunching was a little outside of normal
> limits and the data could be shown to confirm the null
> hypothesis with more conservative statistical
> analysis. This would mean that the ME, as an
> alternative explanatory hypothesis, was, at best, very
> weak, or, at worst, no explanation at all. >>>

Unfortunately the statisticians and scientists that peer-review for 
Social Indicators Research disagree with you.....totally.
Are you right and they wrong?






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