Statistics of Deadly Quarrels
CarlNorthcore writes "Brian Hayes published this paper in the Computing Science chapter of Jan-Feb's American Scientist. It provides a fascinating and [sadly] relevant statistical exploration of our world's deadly conflicts. Look out for the excellent "Web of Wars" diagram."
Geez. Now that I think about it, there have been a lot more deadly conflicts than they taught us at school. It's a real eye-opener. I wish I had this when I needed it. On another tangent -- isn't this what the web is for? The "Information Superhighway"? It's nice that I'm actually learning useful history online, rather than in some stuffy classroom.
Live or die trying.
That is interesting. I am a big fan of Dunnigan. He is an impossible person to deal with in real life, so I hear, but he has a brilliant mind. His other related books make good reading as well. I especially liked his book on how the digital revolution has changed warfare over the years.
He and Keegan share a similar idea that is echoed in the article mentioned: "this respect, Richardson's data suggest that wars are like hurricanes or earthquakes: We can't know in advance when or where a specific event will strike, but we do know how many to expect in the long run. We can compute the number of victims; we just can't say who they'll be." Keegan in particular writes in "The Face of Battle" that war is very similar to natural disasters and lists the ways. A good read.
Finally, if one is interested in this sort of thing, Dunnigan and Austin Bay wrote "The Quick and Dirty Guide to Warfare" which makes predictions. The first book in the series was quite accurate 10 years later. The last update appears to be the 1996 third edition.
completely one sided wars, like Iraq v US (round 1)
wouldn't that be a high magnitude for Iraq and a low magnitude for the US?
and yes I do know that this study did not include that war... were there any completely one sided wars involved in the time frame studied?
One comment at the end of the article caught my attention:
This points out a comparison problem within the original research - it does not take into account the population increases over time. For example, somewhere in the mid-1600s, London had a population of 600,000 people, while it currently has a population near 7,000,000. That is the difference between a magnitude-5.7 and a magnitude-6.8 event, using the given scale.
Would factoring in the population growth curve enhance or reduce the apparent randomness of the data?
Chivalry is not dead, it's just frequently misspelt. - M. Langley
There's a cool map of Nappy's march into Russia, which shows, visually, the losses suffered by the thickness of the line, among other things. Really beautifully rendered. Edward Tutfe (master of information design) is a big fan of it, understandably so.
c-hack.com |
This is actually a very interesting detail, the 1700s amongst other things had "the small ice-age" where temperatures in europe were significantly lower than normal.
Considered together with the traditional wisdom of "hot tempers" in southern climates, (the middle east being the poster boy), this points to the obvious solution to world peace: Move everybody to Mars where the temperature is lower than on this war-ridden planet.
Poul-Henning Kamp -- FreeBSD since before it was called that...
I've never visited those countries, so I have no idea if I'm completely talking out of my ass, but you can easily make the United States look like a scary place.
Ho hum. I get along here just fine, in spite of all of these.