Karl defendeu a idéia de que a repressão ao racismo pode na verdade aumentar o nível de racismo (via polarização racial) de uma sociedade em vez de diminuí-lo. Acho que existe um modelo de socio-física que suporta essa predição.
No modelo abaixo, se você identificar os radicais com racistas militantes, e os “passive supporters” com “racistas no armário”, então o modelo prediz que em certas condições pode ocorrer uma transição para uma sociedade polarizada com racismo florescente.
O mesmo modelo explicaria a ascenção do cristianismo no Império Romano como uma transição de fase desencadeada pelas perseguições religiosas. Os radicais seriam os mártires.
Ou seja, a perseguição ou combate a um dado grupo pode na verdade aumentar seu tamanho e poder, ao tornar os suportadores passivos em suportadores ativos. Algo a ser considerado em qualquer embate militar ou ideológico. Será que o combate ativo à religião pode na verdade aumentar o número de religiosos?
|The Frightening Link Between Phase Changes And Terrorism|
Military action can dramatically increase the pool from which terrorists are recruited, according to a new computer model of the how radical behaviour spreads
The study of epidemics has flourished in recent years thanks to computer models that simulate the way infectious agents spread. Many of these models and the assumptions behind them have been validated with real data from the spread of disease. So there is a growing body of evidence showing that computer simulations are a valuable predictive tool that can help tackle and prevent epidemics.
But it’s not just disease that spreads in this way. Various researchers are using the same ideas to model the spread of ideas and opinions. One interesting question is how radical and extreme ideas spread through society and what measures can be taken to control and prevent this process.
Today, we get a fascinating insight into this problem thanks to the work of Friedrich August at the Technical University of Berlin and a few buddies. Their approach is to divide society into a number of subgroups and then suppose that there is a certain probability that a member of one subgroup can switch to another. They then simulate how the size of these subgroups change over time and as the probabilities change.
That’s standard fair until you start labelling the groups and imagining how they interact. August and co hypothesise that within any society there is a subgroup of people who are are actively radical, that is they practice extreme behaviour. They assume there is another subgroup of passive supporters who accept but do not practice extreme behaviour. And finally there is a third subgroup of neutral individuals who are susceptible to being converted into passive supporters.
A crucial question here is how to assign probabilities for switching from one group to another. One important process, say August and co, is the rate at which active radicals are removed from society by processes such as migration, deportation, arrest and death.
August and co assume that some of these removals have a radicalising effect on the susceptible group. For example, the arrest or murder of an active radical turns some neutrals into passive supporters.
When this happens a feedback loop is set up: the removal of active radicals generates more passive supporters from which more active radicals can be recruited and so on.
Feedback loops are interesting because they lead to nonlinear behaviour, where the ordinary intuitive rules of cause and effect no longer apply. So a small increase in one type of behaviour can lead to a massive increase in another. In the language of physics, a phase transition occurs.
Sure enough, that’s exactly what happens in August and co’s model. They show that for various parameters in their model, a small increase in the removal rate of active radicals generates a massive increase in passive supporters, providing an almost limitless pool from which to recruit more active radicals.
What this model describes, of course, is the cycle of violence that occurs in so many of the world’s trouble spots.
That has profound implications for governments contemplating military intervention that is likely to cause ‘collateral damage’. If you replace the term ‘active radical’ with ‘terrorist’ then a clear prediction of this model is that military intervention creates the conditions in which terrorism flourishes.
They say that this feedback loop can halted only if the removal of terrorists can be achieved without the attendant radicalising side effects. As August and co put it: “if this happened practically without casualties, fatalities, applying torture or committing terroristic acts against the local population.”
This is an interesting approach. It clearly shows that public opinion and behaviour can change dramatically in ways that are difficult to predict.
But the work is by no means complete. These models and the phase changes they predict need to be studied in much more detail. For example, it’s likely that certain types of extreme behaviour can drive away passive supporters so there may be important negative feedback effects that also need to be accounted for.
August and co are strident in their conclusions, however. They say that: “This strongly indicates that military solutions are inappropriate.” It’ll be interesting to see how their ideas spread.
Ref: arxiv.org/abs/1010.1953: Passive Supporters of Terrorism and Phase Transitions