Paul,

You are demonstrating exactly why I remind everyone that we are after the
truth. You say nothing has been found that supports the validity of CR.
This is absolute nonesense.  People have several times used invalid tests
and jumped to conclusions, but those who bother to do the simulations
properly end up admitting that CR works.   Gus is an example of this. He
SEES that when we start with uniform samples, we do get the results that CR
produces.Gottfried sees it as well, as have most others who bothered to do
the simulations. Gus's recent arguments have been based on an attempt to
create uniform distributions but his understanding failed to appreciate why
uniform distributions were needed and why trimming was logical.  Gus used
the word 'loaded" and that word is what prompted me to bring up the issue of
honesty.  The word loaded usually means there is some hidden meaning
involved. There is nothing hidden in what I say.  CR works, regardless of
the criminal lengths to which statisticians are willing to go to suppress
this fact.

Paul, you and others have every chance you need to disprove me. You have not
and neither have any of the others people in statistics who market
themselves as experts. In 1986 I discovered something important.
Statisticians have fought that insight every since. In doing so, they commit
fraud.  And it is personal.  The childish attacks on me are an indication of
the lowly nature of the profession of statistics. I endured years of class
work in statistics from people who really thought themselves of superior
intellect. I paid a lot of money to attend all those classes. Well, I just
do not see it that I got my  money's worth. I see arrogance, I see pompous
ignonorance and I see stupidity. I do not see any real love of the logic of
statistics or any responsibility for the improvement of the profession. I
see a bunch of criminals.

The people on this newslist have recently attempted to disprove CR by
violating assumptions, ignoring the probable existence of confounding
variables and by highly evasive subsampling strategies. Some continue to
work for the truth, Gus and Steve among them. I applaud them both. All I
asked was how Gus did his sampling. And when he finally told me, it was
obvious to me that he was simply reproducing the normal distribution.  His
was not a sin. I do not think he was being deceptive. He was just mistaken.
People who seek truth make mistakes. Paul, you are not making mistakes. You
are looking for an irrational fight, something to gossip about. Typical.

The SEM treatment of CR is for all to see. Just go to the SEM archives. If
you wish to see the acceptance letter and rejection letter I got from the
journal SEM, just ask. I have nothing to hide. But youi will not seek the
truth about these things. You lack the integrity. Some of you guys are
trying your best to find some reason to reject CR. Ok, if you play fair. But
you are ignoring all the logic, simulations and real data that support CR.
This kind of closed mindedness protects you from having to think new
thoughts but it is also an indication of intellectual cowardice. You think
that you have an easy target by siding with tradition and the power folks in
statistics. I would put logic above the whole bunch of you in any fight or
search for truth.

The use of normal distributed causes in correlation research is as stupid as
it would be to use normally distributed cell sizes across the levels of an
anova. Such a practice degrades sampling in the extremes, reduces power and
forces us to over look conjunctive causes in favor of the conceptual garbage
pile of disjunctive causes. Its is not just the people on this newlist who
make this mistake. But apparently I am the only one with the intellectual
integrity to point out that the emperor has no clothes.

Now talk like a scholar. Do you SEE that the correlations between uniform
causes polarize across the ranges of their mutual effect. If not, tell me
where you get lost or disagree. I will try again to make it clear.

Bill






"Paul Bernhardt" <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> [EMAIL PROTECTED] said on 9/29/02 2:22 PM:
>
> >You seem to be playing the game "heads Gus wins, tails Bill loses."
>
> You seem to think that it is a game where there is a winner or a loser.
> This error in perception causes great problems in the discussion. Gus
> (and others here) are after the truth. You claim to be also, but belie
> yourself with statements such as above, and your claims of bias and
> unethical behavior by others.
>
> Gus and others here have treated your method with great seriousness,
> more than I've seen anyone on the mainline stats discussion lists in the
> past (I am not a subscriber to the SEM list to which you refer, maybe it
> was similarly well treated there). They have attempted to understand it
> and put it to test against both real and created data sets. The most
> charitable way to put it is: they have found little to no support for
> your method.
>
> Paul
> .
> .
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