[EM] a response to Kristofer Munsterhjelm re: Fuzzy Options.
Kristofer Munsterhjelm
km_elmet at lavabit.com
Sat Nov 5 02:57:53 PDT 2011
I'll reply to your other post, but I think this one is the easiest to
reply to, so I'll do so first.
David L Wetzell wrote:
>
> On Thu, Nov 3, 2011 at 9:14 AM, Kristofer Munsterhjelm
> <km_elmet at lavabit.com <mailto:km_elmet at lavabit.com>> wrote:
>
> David L Wetzell wrote:
>
> And I don't think the Condorcet criterion is /that important/,
> as I think in political elections, our options are inherently
> fuzzy options and so all of our rankings are prone to be ad hoc.
>
>
> If opinions are fuzzy, that means that the voters' true distribution
> within political space would differ somewhat from the distribution
> you would infer by looking at the votes alone.
>
> it could also mean that political spaces are at best somewhat useful
> constructs and that the "true" distribution is something that's
> constantly being manipulated, not taken as given. This understanding
> makes me tend to be more middle-brow than most people on this list.
Well, yes, but people seem to vote at least in a somewhat spatial
manner. Consider, for instance, Tideman's voter models and SVD/PCA fits
like http://politics.beasts.org/ . While the results might have been
colored by the polarizing effects of Plurality, I think it shows we can
use political space as a way of visualizing voting behavior. If nothing
else, it at least gets the point across in an intuitive manner - one can
generalize later.
SVD/PCA has also been applied to legislature records, where one would
think the Plurality polarizing effect to be diminished. See, for
instance, http://www.govtrack.us/congress/spectrum.xpd .
> KM:In terms of the 2D Yee diagrams, this means that if the voters
> are centered on a certain pixel, their votes might behave as if it
> was centered on one of the neighboring pixels (since each pixel in a
> 2D Yee diagram gives who would win if the population were normally
> distributed around that point in political space and preferred
> candidates closer to them). So in a Condorcet method, this might
> sometimes lead to the wrong candidate being elected. It would do so
> in the case where the true distribution is on one side of the
> divider between two Voronoi cells, and the distribution inferred
> from the votes alone is at the other side.
>
> dlw:Yup, getting the condorcet winner all of the time isn't the
> slam-dunk it's purported to be.
>
>
> KM:However, fuzzy opinions can cause greater problems with IRV.
> Because IRV is sensitive to the order of eliminations, it doesn't
> just have the clean cell transitions of Condorcet; it can also have
> disconnected regions near the edges or in the middle of one of the
> regions. In essence, these are the same as the "island of other
> candidates" artifacts, but in two dimensions rather than one.
>
>
> dlw: I'm afraid you lost me there.
Okay, I'm going to go a bit more thoroughly through it. For the sake of
the model, I'm going to assume a 2D opinion space with a normal
distribution around a central point that depends on the society in
question. These assumptions can be altered, but the difference between
methods like most Condorcet methods and methods like IRV will persist,
to my knowledge. I'll eplain what the difference is, but first, to get
some things out of the way:
If you have a spatial model with an attendant distribution for each
point, then you have win regions. Inside each win region, the candidate
assigned with that win region will win. For instance, if the center of
opinion is solidly within the left-mainstream region, then the Democrat
candidate will win. Similarly, if the center of opinion is solidly
within the right-mainstream region, then the Republican candidate will win.
Look at the "Equilateral" diagram on http://zesty.ca/voting/sim/ . There
you can see that if the center of opinion is closer to, say, the red
candidate than to the other two, then the red candidate wins, and it is
the same with the green and blue candidates.
Now, what effect does vote fuzziness have? The effect is that the
election outcome is as if the voters were centered on a particular
pixel, when in fact they were centered on a pixel some distance away.
The distance between the two arise from noise.
This is not a problem if the voters are solidly inside a given win
region, because both points (the voters' true center as well as the
center you'd infer from the votes alone) lie within the same win region.
So vote fuzziness degrades the outcome only when the voters' true center
is close to the border between two (or more) win regions, because then
the noise can push the inferred center to the other side of the border,
which could lead to another candidate being elected.
So how often could this happen? Well, that depends on how many points of
the voting space have another region close to it. If the regions are
compact or the borders between straight, most of the outcomes will be
solidly within a region and therefore will give the right result even if
vote fuzziness adds noise. However, if the borders are long, zigzags all
over the place, or have disconnected regions inside some other
candidate's win region, these all increase the probability that the true
center will be in one candidate's region, but the inferred center (from
the votes, which is the only thing the method knows about) will be in
another candidate's region.
Finally, looking at Yee diagrams such as "Nonmonotonicity", "Square",
"Shattered", and "Disjoint" on Ka-Ping Yee's page (whose link I've given
above), or the IRV pictures on http://rangevoting.org/IEVS/Pictures.html
shows that elimination methods in general and IRV in particular can have
such zigzags and disjoint regions whereas Condorcet methods usually
don't. Hence, IRV is more affected by vote fuzziness than are Condorcet
methods, which was what I wanted to show.
The difference then, as I said I would explain, is that IRV has longer
borders and less compact win regions, which makes wrong-winner outcomes
more likely if there is vote fuzziness. If vote fuzziness impacts
Condorcet methods, it impacts IRV more.
If you take a step back, it's not that hard to understand. In IRV, a
change in one of the elimination rounds can lead a different candidate
to be eliminated, which in turn can lead a different candidate to be
eliminated in the next turn, and a different candidate to be eliminated
as a consequence of this, and so on. A single vote can change the
outcome radically. IRV can be sensitive to initial conditions. On the
other hand, if you look at something like Borda (not a good method, but
it shows the concept clearly enough), a single vote will only alter the
point sum of each candidate by a bounded amount. This might be enough to
hand the victory to another candidate, but it is more well-behaved: the
initial difference doesn't amplify into greater differences that amplify
into greater differences in turn.
> KM:It may be the case that voters are not centrally distributed in
> political opinion-space, but I think the observation can be
> generalized. If I'm right, why put up with a method that, by
> sensitivity to the elimination order, amplifies the fuzziness of the
> votes?
>
>
> dlw: Well, 1. IRV3 doesn't let folks rank all of the options and so it
> hopefully has more quality control on which options are ranked.
IRV with a few candidates will do better than IRV with many candidates,
but with the number of candidates held the same, other methods will
still be more well behaved. Also, you could consider the 3-rank limit
(if only the number of rankings rather than candidates are limited)
another form of noise. The noise is, in essence, the same as if every
voter didn't know their later preferences and so truncated after three.
(I'll note, though, that it's not unambiguously noisy: IRV restricted to
one rank would simply be Plurality, and Plurality doesn't have the
zigzag and disjointness of IRV).
> 2. by not always giving us the "center", it does permit learning about
> the different viewpoints. Remember, since I'm middle-brow, I don't put
> as much significance on optimizing within the distribution of political
> opinion space.
You can get that with other methods, too. I think a good comparison
would be to PR. In most countries that make use of proportional
representation, the method also includes a threshold whose purpose is to
keep sliver parties from gaining kingmaker power - e.g. a far right
party only joining a coalition if the coalition agrees to kick out all
the immigrants.
In a similar manner, if the "always center" or "weak CW with no core
support" objections are important and could break Condorcet, well, just
institute a threshold. Say that a candidate who gets less than n% of the
votes (or who is ranked on less than n% of the ballots) will not be
counted.
If you want to be really sophisticated, you could probably use a
cloneproof method for the threshold to avoid perverse incentives, but
that's getting a bit too complex - all I'm saying is that if a weak
center is a problem, there are ways around it.
> 3. It introduces some uncertainty in the circulation of the elites,
> which can give alternative viewpoints a chance to get a better hearing.
> When a new third party gains ground, it'll get a serious hearing and
> hopefully the de facto center will be moved.
All the good methods do that, and they do that by providing competition.
On a level playing field, minor parties can pull major parties in their
direction (but not unduly so) because the method is responsive - and in
a predictable way - to shifts in votes and sentiment.
Plurality does very badly here because strategic Plurality isn't
responsive. IRV is better, but it can be unpredictable, as the
simulations show. Yes, it's possible to weaken the effects of the
unpredictable nature by making alliances (as you've suggested could be
done in Burlington), but that imposes a further burden on the parties.
Instead of requiring the parties to know when to cooperate and when to
go at it alone, just have the voting method deal with it by shifting the
center smoothly in the direction given by the people's preferences.
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