<div dir="ltr">Some thoughts.<div><br></div><div>1. You need to consider the difference between Cardinal and Ordinal Utility.</div><div>You presume the existence of Cardinal utility. Ordinal utility can be monotonically positively transformed so long as it preserves the order. For example, if the original scale is between 0 and 100 then one could randomly generate a real number a from the normal distribution, transform it by taking b=E^a, and then transform the utility to become X^b *100^(1-b). This would not change the rank-orderings of candidates, but it would change the approval or score-ratings given to candidates and it'd muddy the water about your example. </div>
<div><br></div><div style>2. In real life, parties/candidates choose their candidates/positions to enhance their likeability, so what is taken as exogenous in most of our thought experiments are in fact endogenous. This is also another reason why it's hard to grow the number of competitive candidates, because good ideas from a not-so-competitive candidate will tend to get coopted by already-competitive candidates. <br>
<br>3. It seems that your self-described magical certainty as to voter prefs is at worse chimerical and at best a useful fiction. It also is similar to the work by Warren Smith using <a href="https://www.google.com/webhp?sourceid=chrome-instant&ion=1&ie=UTF-8#sclient=psy-ab&q=warren+smith+bayesian+regret&oq=warren+smith+bayesian+regret&gs_l=hp.3..0i22i30.102.153444.0.153747.35.30.0.0.0.1.365.5918.0j20j8j2.30.0.epsugrpqhmsignedin%2Chtma%3D120%2Chtmb%3D120..0.0.0..1.1.17.psy-ab.FsjX8OuCjSc&pbx=1&bav=on.2,or.r_cp.r_qf.&bvm=bv.48572450,d.aWc&fp=e16824eab702e431&ion=1&biw=1366&bih=659">Bayesian Regret</a>, which also presumes cardinality of utilities. I think that there might be scope for probabilistic valuing of candidates so that in examples like what you give, a certain candidate has a certain probability of getting elected. I also think that there will be some sort of Mean-Variance evaluation of election rules, not unlike how stock-portfolios are evaluated by a combination of mean and variance criterion. </div>
<div style><br></div><div style>4. If there is a multi-dimensional issue-space (plus a je-ne-sais-quois character dimension) then these inevitably would tend to get collapsed into a single-dimension and the issue is in large part how the different dimensions get collapsed, plus the inevitable problems with noise being propagated by the campaigns and voters putting less time/energy into researching all candidates so and so forth. I favor IRV in part because it lets non-competitive candidates bring up otherwise neglected issues and subvert some of the noise spewed by the main candidates. These are things that are hard to model, they are quite indeterministic. The same is likely true for other rules, but their probabilities of getting adopted in the short-run are low and my args are geared not at proving IRV is objectively better than the other rules, just that the diffs between the alternatives are less strong than often purported and so it makes more sense to focus on short-term probabilities of adoption in the short-run at least.</div>
<div style><br>5. If some people feel strongly on an issue, there are other ways to manifest this preference other than what is given them in the ballot that serve to move swing/low-info voters. This reduces the mandate to incorporate the capability to express strength of preference in the ballot. </div>
<div style>dlw</div><div style><br></div><div style> This is not unlike why I stated that I have epistemic diffs with Kristofer M. He doesn't have access to much real world experimental data and so to compensate</div>
<div><div><div dir="ltr">dlw</div></div>
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