> O: I made no attack. I merely stated that B/(q+1) is a function that can 
approximate the density function of states over the range of populations. I 
don't claim it to be more than a rough approximation.

--well, no.   Non-normalizable "probability distributions" are not probability
distributions, and the do not approximate probability distributions in any 
reasonable sense.
They are simply something that should never be used.  When one does use them,
that is a symptom of underlying rot in one's thinking.

> O: But, for example, nonmonotonicity was never what bothered me about IRV. It 
doesn't bother the IRVists, or the Australians or Irish. Yes, it resulted in 
Hamilton's rejection. But Hamilton didn't have the unconditional unbias 
advantage that AR has.

--"nonmonotonicity" means two different things for IRV and in apportionment and 
in the latter
it is far more serious.   Second, it would help if Ossipoff were to define 
whatever it
is he means by "unconditional unbias", and he also stated to me once he'd proved
"cycle webster" was "unbiased" but again I saw neither proof nor a definition of
what unbias might mean.

> O: I don't know whether or not AR is in the class of methods that B & Y 
> proved 
nonmonotonic.

--it is nonmonotonic.  "Divisor methods" are methods where a pop-p state gets 
round(p/q)
seats, where round is a rounding function that is upward stairstepping with 
integer heights.   
AR is not a divisor method.  (Here q is chosen to make the total #seats come 
out right and
is called the "divisor".)   Ossipoff's "bias free Webster" (or whatever he 
prefers to call it)
involving the A^A-using formula for the stairstep locations, IS a divisor 
method.

The "Ossipoff-Smith method"  (which Ossipoff informs me he still has not 
bothered to read,
along with whatever else I had to say in that page?!)
is the same except for  different formula for the step locations, which reduces 
to O's
formula in the limit K-->0, where K=#seats/#states.  I have not called it the 
"OS method"
in the paper/web page, so O can relax, but I did say on that web page that the 
limiting
K-->0 case was discovered by O.

> O: A probability distribution can take any shape.

--no it cannot.  Probability distributions are non-negative valued and 
normalizable.
If you propose somethng disobeying these laws, it is not a probability 
distribution.  Period.

> O: it better not be adjusted-rounding...

--Mike, the idea that I might be "stealing" your work is just so far off the 
mark, it
is beyond ridiculous.  Anyhow, I have heard quite enough flaming from you even 
before
examining any of my work.

> Joe Malkevitch: Ties (using a particular  
method) can occur not only when two states have the same population  
but also when they have different populations but the house size is a  
particular value.

--true.  Every divisor method can fail, i.e. a q-value can fail to exist that 
yields the
right number of seats.  However, this can only happen in cases of "ties" where
you get "hops by 2" that "skip over" te desired #seats.  
These failures are rare and could be avoided by random
tiebreaking.  It is a good point that failures can occur even in the absence of 
direct 
population ties, though (kind of indirect ties).

> JM quoting B&Y: Not every measure of inequality gives stable apportionments: 
> for  
some measures there exist problems for which every apportionment can  
be improved upon by some transfer. Huntington showed that, except for  
four such "unworkable" measures, all others resulted in the methods  
of either Adams, Dean, Hill, Webster or Jefferson.

--actually, I really object to this B&Y quote, which was perhaps the most 
misleading statement
they made in their entire book.   (They also have a bunch of pro-Webster 
arguments which I find
to be rather "spun" and overmuch, although I agree with them Webster is the 
best of the
classic 5.)  Huntington did not at all show that 
"every measure" yielded the methods of either Adams, Dean, Hill, Webster or 
Jefferson.
He in fact just did a case-analysis of a few measures resulting from certain
rational functions.  There are an infinity of other possible measures which
Huntington never examined, and there are almost certainly an infinity of other 
divisor methods
that nobody ever examined, all of which are "workable" in Huntington's sense.
Read the Huntington paper (which by the way is very well written) if you 
want to see that:   http://rangevoting.org/Hunti28.pdf

> JM: Evaluation and Optimization of Electoral Systems, by Pietro Grilli di  
Cortona, Cecilia Manzi, Aline Pennisi, Federica Ricca, and Bruno  
Simeone, SIAM Monographs on Discrete Mathematics and Its  
Applications, Philadelphia, 1999.

--that sounds interesting.  There is a quick summary of some global optimality 
statements
in   http://rangevoting.org/Apportion.html
and it is open whether the "unbiased" methods I've been deriving and compiling 
in
http://rangevoting.org/NewAppo.html
also obey global optimality theorems that are analogous.  I suspect they do and
I have some clue about how to figure them out, but I haven't; maybe this book'd 
help.
Incidentally, I find the global optimality thm obeyed by Webster to be very 
pleasing and
I think much more pleasing than the similar-looking statement obeyed by 
Huntington-Hill
(when you think about it using "quantified morality"; the issue is that
huntington's objective fn regards an unreporesented human to be "infintiely bad"
whereas in reality that is only finitely bad, so his objective function is 
clearly
pretty morally-distorted, whereas Webster's objective function seems to make a 
lot
of moral sense).

warren D Smith
http://rangevoting.org
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