German historians have long debated the origins of the Nazi disaster. Part of that debate has revolved around what is called the sonderweig, or “special path" -- the notion that there was something unique in German history going far back that put them on a different path from other nations. It is a suspiciously comforting thought, because if the Nazi takeover was due to more immediate factors -- was more contingent than inevitable -- then that would suggest that every country, if the wrong things take a turn for the worse, could head to hell rather quickly.
There was also a debate a few years ago the moral culpability of the average German for the Nazis and the Holocaust (prompted by Daniel Goldhagen, Hitler’s Willing Executioners [1996]). I don’t really know enough about German history to have an independent opinion on the matter – but I lean against it. First, I saw that a lot of historians I respect dismissed that book. In addition, whatever the merits of that argument, it is not Useful. If you conclude that the Germans were To Blame, what do you do with that?
I’ve always wondered whether the Nazi takeover of Germany – or any takeover that has at least an element of force – could be modeled mathematically – in other words, if there isn’t an element of game theory at work here. Somebody oughta look into this, if it hasn’t already been done (probably has been).
This thought is based on an intuition that there is a mathematical dynamic behind a forceful takeover of a civilized nation. This is based on the sense that a few people willing to kill might prevail upon a much larger, but atomized and passive, group. It might run something like this:
Initial conditions:
N = Nazis, Hitler’s core supporters who were willing to kill those who oppose them
S = Nazi supporters, who support Nazis enough to inform on others
P = passives – non-supporter, non-opponents of Nazis
O = active opponents of the Nazis, such as the communists
N` = commitment of Nazis to kill opponents
O` = willingness of opponents to risk their lives to oppose Nazis
Now imagine a grid (like that used in the game “life” or in cellular automata) made up of cells, whose state is determined by the state of those around them (how many like individuals they are connected to, since power comes from connectedness & cooperation with others). Imagine the opponents are red, the passives are white, and the Nazis are black. Some reds and blacks are darker (more committed), while others are pale.
Then apply a calculus involving how connected the reds and blacks are to others, and how committed they are, to determine which passives flip to Nazi supporters, and which opponents flip to passives – and which opponents are simply rubbed out. It is easy to imagine how a tightly clustered, very committed batch of black squares (Nazis) in the middle of a sea of white squares (Passives) with sporatic clusters of Reds could end up flipping the whole field to supporters and passives (and dead people).
Similar-minded experiments have been done on the subject of residential racial segregation. An economist named Thomas Schelling (a pioneer in looking at "tipping points" and other elements of nonlinear systems) puplished a famous paper in 1971 (“Dynamic Models of Segregation”) in which he found that if you have a population full of people each of whom is not a racist, but just doesn't want to live in a neighborhood that is strongly dominated by a race other than their own, that the individual choices made by that population would lead mathematically to an emergent pattern of almost total residential segregation.
I don't know why but I just find myself worrying an awful lot in recent years about political stability and the ability of crazily committed and intense insane political minorities to "flip" much larger political systems. . .
When there are only four cities, it’s easy to solve. But once you start to expand the number of cities, it quickly gets very difficult – with only 25 cities, there are so many possible routes that a computer measuring one million per second would still take 9.8 billion years to search through them all. (I get this from Peter Coveney and Roger Highfield,