Industry Leanings In Things Political

Data analysis guru and fellow Pythonista Drew Conway of Zero Intelligence Agents linked to Ideological Cartography, a blog whose author, Adam Bonica, posts interesting visualizations of political data. This post (Ideologically aligned and ideologically divided industries) had some interesting visualizations of the left-right ideological leanings of people in various industries as revealed by their campaign contributions (all data is from 2008):

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The Public-Health Fallacy

The discussion at this otherwise-good Instapundit post is typical.

The discussion is misframed. The question isn’t whether a specific medical procedure is a good idea. The question is who gets to make the decisions.

This is a comment that I left on a recent Neo-Neocon post:

It’s the public-health fallacy, the confusion (perhaps willful, on the part of socialized-medicine proponents) between population outcomes and individual outcomes. Do you know how expensive that mammogram would be if every woman had one? The implication is that individuals should make decisions based on averages, the greatest good for the greatest number.
 
The better question is, who gets to decide. The more free the system, the more that individuals can weigh their own costs and benefits and make their own decisions. The more centralized the system, the more that one size must fit all — someone else makes your decisions for you according to his criteria rather than yours.
 
In a free system you can have fewer mammograms and save money or you can have more mammograms and reduce your risk. Choice. In a government system, someone like Kathleen Sebelius will make your decision for you, and probably not with your individual welfare as her main consideration.

Even in utilitarian terms — the greatest good for the greatest number — governmental monopolies only maximize economic welfare if the alternative system is unavoidably burdened with free-rider issues. This is why national defense is probably best handled as a governmental monopoly: on an individual basis people benefit as much if they don’t pay their share for the system as if they do. But medicine is not so burdened, because despite economic externalities under the current system (if I don’t pay for my treatment its cost will be shifted to paying customers) there is no reason why the market for insurance and medical services can’t work like any other market, since medical customers have strong individual incentive to get the best treatment and (in a well-designed pricing system) value for their money. The problems of the current medical system are mostly artifacts of third-party payment and over-regulation, and would diminish if we changed the system to put control over spending decisions back into the hands of patients. The current Democratic proposal is a move in the opposite direction.

Compare and Contrast

Murdoc very kindly gave us a heads up to this fascinating photo blog. Pictures taken in Normandy during the 1944 invasion are compared side-by-side with images taken from the very same spot today. Looks like they cleaned up the place a bit since then.

Uncle points us to this photo array. The weekly food intake of families from various parts of the world are shown in graphic fashion, and the money spent is tabulated. Makes me proud to be an American.

Well worth your time.

WHO’s Shotgun Statistics

Instapundit links to a story on a WHO report on Swine-Flu. This bit caught my eye:

Ferguson and his collaborators, part of the World Health Organization’s (WHO) Rapid Pandemic Potential Assessment Collaboration, determined that 6,000–32,000 individuals had been infected in Mexico by late April. 

Translating from media speak, 6,000-32,000 actually means a 95% confidence level of 19,000 plus/minus 13,000! That’s not a statistic, it’s a shotgun blast of mathematical pellets. At long range.

All the rest of the calculations seem to descend from this dubious guess. Why do they even bother? As I’ve written before, bad data are worse than no data at all. 

[Note to grammar nazis: Technically, data is a plural. Datum is the singular.]