Themis;373611 Wrote: 
> You need to sit down and think this through - you're very confused about
> it.  

Themis, part of what I do is teach statistics to Ph.D. students.

> So, lets say the following:
> 50% of the time the coffee is the same.
> 50% of the time it is not the same, but half of this time (25% of
> total), the CafMart makes a better coffee.
> The audience identifies with 100% confidence the "better" samples.
> 
> So ? We have 200 correct samples identified.

Dunno where that "200" came from.  But indeed, in the scenario you've
specified the two coffee makers have identical performance, and so
obviously the results are 50/50.  In any scenario in which they do not
have identical performance, the results will not be 50/50 (contrary to
what you claimed previously).

> More seriously : there are too many unknown variables in the test. The
> 200 correctly identified samples don't tell us anything. But not
> because they are 50% of the samples: they tell us nothing simply
> because there are too many variables.

No Themis, that is false.  The test result tells us a lot - it tells us
with what confidence we can reject the hypothesis that the two sources
were identical.  Everything in science - the whole edifice of
scientific knowledge, technology, and innovation - rests on your
"nothing".

If people with attitudes similar to yours were in charge, we'd still be
living in trees.  Instead, we have nice stereo systems and slim devices
to listen to.


-- 
opaqueice
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