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[[File:weather butterfly.png|450px|thumb|center|Ein schmetterling, gestern]]
[[File:weather butterfly.png|450px|thumb|center|Ein schmetterling, gestern]]
}}The [[butterfly effect]] is a much misunderstood observation of complexity theory - that the behaviour of a [[complex system]] is highly susceptible to its initial configuration, and small differences in that initial state — in an ecosystem, the flapping of a butterfly’s wing — may mean the [[Systems theory|system]] behaves in vastly  — and quite unpredictably — different ways.
}}The [[butterfly effect]] is a much misunderstood metaphor from chaos theory: that the behaviour of a [[complex system]] is highly susceptible to its initial configuration, and small differences in that initial state — for example, the flapping of a butterfly’s wing in an Amazon rainforest — may have massive impact on how the [[Systems theory|system]] then behaves in a difference place at a different time— say, a hurricane occurring a week later in Manila. History depends on apparently insignificant things.


This is ''not'' the same as saying, as people are prone to, that “a butterfly flapping its wings in the Amazon causes a hurricane in China”.  
This is ''not'' the same as saying, as people are prone to, that “a butterfly flapping its wings in the Amazon causes a hurricane in the Philippines”.  


People who not only should, but do know better, can fall into this trap. “To show what a difference an initial condition can make, consider the double-jointed pendulum”.
People who not only should, but do know better, can fall into this trap. “To show what a difference an initial condition can make, consider the double-jointed pendulum”.


Set off two double-jointed pendulums from an apparently identical condition and quickly their trajectories will wildly diverge, it is true. But this to vergence is not accountable solely for atomic differences in the initial configuration, but for ongoing atomic differences throughout the pendulums cycle. The systems are ''path''-dependent, not ''initial-condition''-dependent. The longer the the system continues the more dependent the system will be on on the infinity if subsequently intervening causes. Unless the pendulum is somehow powered, the laws of thermodynamics predict that it will in a short time period come to rest. Over time, then, even insoluble mathematical operations converge. We can see this path dependency to be noise. For an unpowered jointed pendulum, the signal is is, over time, clear. However you start it, it will end up in entropic rest.
[[File:Double jointed pendulum.gif|450px|thumb|right|Double-jointed pendulums behaving badly, yesterday.]]
Set off two double-jointed pendulums from an apparently identical condition and quickly their trajectories will wildly diverge, it is true. But this divergence does not derive solely from atomic differences in the initial configurations of the pendulums, but also — and over time, increasingly — from ''ongoing'' atomic differences as the pendulums continue on their periods. A micro-second into their cycle, those differences in initial condition are important. After half an hour,<ref>assuming the pendulums do not quickly come to rest as, in fact, they will do. See below.</ref> the initial condition differences account for more or less none of the differences in the ongoing behaviour of the pendulums.


For a complexity theorist, the butterfly’s wing metaphor makes the point not that hurricanes ''can'' be reduced to their infinitesimal operating causes, but that they ''cannot''. These systems are so [[complex]] — so ''ontologically indeterminate'' — that it is ''theoretically'' impossible to predict how they will behave.
The systems are ''[[Path-dependent|path''-dependent]], not ''initial-condition''-dependent. The longer the the system continues the more dependent the system will be on the infinity of subsequently intervening causes.  


Butterfly wing-flaps are discrete independent events. Unless you are prepared to hypothesise some kind of spooky quantum butterfly entanglement, one butterfly flapping its wings will not make more or less likely another butterfly’s decision to do the same, let alone any of the other environmental factors that might cause a tropical storm.  
And there is another thing: unless the pendulums have perpetual motion,<ref>Impossible, of course.</ref> or are ''powered'' they will, in a short time period, come to rest. All pedulums tend to rest. Their initial conditions are ultimately irrelevant. Over time, then, even insoluble mathematical operations converge. We can see this [[path dependency]] to be [[Signal-to-noise ratio|''noise'']]. The signal, as signals always do, becomes clearer over time. However you start a pendulum — however different its configuration, size, weight or jointedness — it ''will end up in entropic rest''.
 
For a complexity theorist, the butterfly’s wing [[metaphor]] makes the point not that hurricanes ''can'' be reduced to their infinitesimal operating causes and therefore predicted, but that they ''cannot''. These systems are so [[complex]] — so ''ontologically indeterminate'' — that it is ''theoretically'' impossible to predict how they will behave.
 
Butterfly wing-flaps are discrete independent events. Unless you hypothesise some kind of spooky quantum butterfly entanglement, one butterfly flapping its wings will not make more or less likely another butterfly’s decision to do the same, let alone any of the other environmental factors that might cause a tropical storm.  


Furthermore, there are millions of butterflies in the Amazon, all discretely — even if not dis''creet''ly — wing-flapping, and [[Gaussian]] nature of these events will largely cancel each other out, putting butterfly wing-flapping in “Mediocristan” and not “Extremistan”.<ref>See {{br|The Black Swan}}.</ref>
Furthermore, there are millions of butterflies in the Amazon, all discretely — even if not dis''creet''ly — wing-flapping, and [[Gaussian]] nature of these events will largely cancel each other out, putting butterfly wing-flapping in “Mediocristan” and not “Extremistan”.<ref>See {{br|The Black Swan}}.</ref>

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