On Feb 7, 3:45 pm, Daryl McCullough <
stevendaryl3...@yahoo.com> wrote:
> No, I'm claiming that you are misusing it in a way that makes no sense.
I am not misusing anything. I am using bread and butter
geometric algebra. Are you claiming that geometric algebra
makes no sense? If so, then your dispute is not with me.
> There are three misunderstandings involved.
Misunderstandings, if there are any, are entirely yours.
> the notion of "standard deviation" is appropriate only for *real-valued*
> random variables. It doesn't make a bit of sense to talk about
> a standard deviation being a Clifford number.
A bivector (or even a multi-vector) is a *real-valued* variable.
If you do not understand even such a basic fact of geometric
algebra then you indeed have a long way to go.
Besides, statistical concepts such as expectation values and
standard deviations are routinely employed for complex valued
and hyper-complex valued random numbers. Your lack of knowledge
about such basic facts is your problem, not mine.
> standard deviation for any random variable that takes on values
> +/- 1, and has mean 0 is 1.
Not so in my model. Have a look at my papers. Perhaps you
will learn a thing or two about geometric algebra.
> > > In the usual statistical analysis, the reason for
> > > dividing by the standard deviation is for the purpose of making a
> > > measure of correlation that is independent of scale and zeros of
> > > the two functions A and B. It's a standard way to compare the
> > > strengths of a linear relationship.
>
> > You said it. Thank you. I am using *the* standard way to compare
> > the strength of linear relationship. Thank you.
>
> No, you're not using in the standard way, at all.
I completely disagree. I AM using it in a perfectly standard way.
If you do not see this, then it can only be because you have no
understanding of geometric algebra. In fact it is evident from your
assertions that you do not know the first thing about it.
> For one thing, the relationship between A and B is not linear.
Indeed. And therefore Bell's analysis is a non-starter. Because he
starts with the assumption that the relationship between A and B
is linear, and then proves that it must be linear. In other words,
Bell
assumes from the start what he sets out to prove. It is all a big
circle.
> you're not attempting to *discover* a relationship. We know precisely
> what the relationship is between A and B. What we're doing instead
> is trying to develop a theory that accurately describes that relationship.
The reason the relationship between A and B is sinusoidal is because
A and B represent two equatorial points of a parallelized 3-sphere,
which
in turn correctly encodes the observed symmetries of our physical
space.
> In particular, what the point of a hidden variable theory of the type
> Bell was investigating is to account for both the nondeterminism in
> the measured results in the two detectors, and for their correlation.
This is gobbledygook. You are injecting theoretical preconceptions
such as "non-determinism" into empirical facts such as measurement
results. Measurement results are measurement results. They do not
have any non-determinism in them other than the usual classical
randomness.You have zero understanding of the EPR-Bell debate.
It had nothing to do with non-determinism. Bell went out of his way
to stress that, and took pains to clear up precisely the kind of
misconceptions you are exhibiting.
> > > There is no law that one must divide by the standard deviation.
>
> > There is no law against comparing apples and oranges either.
> > Without standardizing or normalizing the raw scores one cannot
> > compare them.
>
> That's just nonsense.
You have just called the deep statistical insights, painfully arrived
at by people like Galton and Pearson, "nonsense." Your dispute is
thus not with me but with them. I accept their valuable contributions.
> Alice is performing an experiment, and
> based on the outcome, she writes down +1 or -1 as the result.
> Bob is similarly performing an experiment, and similarly writes
> down +1 or -1. I can certainly ask the question: Out of 10
> runs of the experiment, how many times did they both write down
> +1, how many times did they both write down -1, how many times
> did they write down the opposite number?
If only things were that simple. The real experiments are never that
simple. And besides, one only has to look at the actual practice of
experimenters to note that without normalization or standardization
comparison between raw scores is meaningless. Moreover, the numbers
A and B in my **theoretical** model are generated with built-in
standard
deviations. It is then simply incorrect to compare the raw scores
generated by them without standardizing the variables first. This is
basic, high-school statistics.
> It's a perfectly reasonable thing to ask. And experimentally,
> the answer is that if Alice holds her orientation fixed at
> direction a, and Bob holds his orientation fixed at direction
> b, then for a large number of trials (let's assume that the
> angle between a and b is held fixed at 120 degrees, and that
> we're doing the spin-1/2 twin pair experiment):
>
> 1/8 of the time, Alice and Bob both get +1.
> 1/8 of the time, Alice and Bob both get -1.
> 3/8 of the time, Alice gets +1, Bob gets -1.
> 3/8 of the time, Alice gets -1, Bob gets +1.
>
> That's the experimental data that is to be explained
> by a hidden-variable explanation.
You will find the explanation you seek in my papers:
http://arxiv.org/find/all/1/au:+Christian_Joy/0/1/0/all/0/1
> To successfully
> explain this data using a *deterministic* hidden-variable
> model would require at the least two functions A(a,mu),
> B(b,mu), and a sequence of values mu_1, mu_2, etc.
> such that the nth outcome for Alice is equal to
> A(a,mu_n) and the nth outcome for Bob is equal to
> B(b,mu_n). Your proposed functions A(a,mu) B(b,mu)
> can't possibly do that.
This is quite funny. The evidence is right in front of you. It is
all there in my papers. And yet you are flatly denying the
evidence. This reminds me of those poor souls who, despite
witnessing multiple demonstrations by the Wright brothers,
continued to insist that "heavier-than-air flying machines
are impossible -- what the lying brothers are claiming must
therefore be a conjuring trick. It simply does not make sense
to fly a heavier-than-air machine."
> What you're saying doesn't make sense to me.
It never will.
While you stay put firmly on ground, I am off flying
my flying machine:
http://arxiv.org/abs/1201.0775
Joy Christian