Hello,

Say you use a Monte Carlo process to get a confidence interval. 
Rather than running 100 iters (or 1000, or whatever) and settling for
a fixed p, the idea is to get an arbitrary p value.

So you iterate ad infinitum.  As you go, the p goes down, and the
interval gets wider.  Say you have a measured value, which initially
lies outside the interval.  You iterate the MC until it becomes so
wide it encompasses your value.  You then have a p of < 1/(n-1) where
n is the # of iterations it took to make the interval this large.

I have a gut feeling something is wrong here.  It seems a bit too
"sporty", a procedure that lets you dial up any desired p value is
suspect.  However, I can't put my finger on why it is wrong.

Any ideas?

Pat
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