The smallest event that can surprise us. Physicists smash lasers, or try to look far out with fine focus. They are trying to see the smallest rate of disorder production.
Where should economists look? Hey, how about the service time to deliver one box of stuff to the household? Like the physicists, if we know that constant, then we can set the cargo sizes and rates up the chain, as far as we can see an exogenous.
That is why I look at M1V, trying to get as close to the retail transaction rate (total service time inverted). When M1V settles, then there is a ripple up the supply chain, the -iLog(i) are being adjusted so they are all within an integer.
Information technology has bifurcated the distribution of retail delivery rates. High valued items are entangled into the groupon/amazon effect, retail delivery appears is synchronized because the search half of distribution has been automated. Also retail strip mall consumers have not gone away, they have been flashed mobbed by the same technology. But some commodities cannot justify last mile delivery, or do not work with flash mobs. The two systems do not have high mutual entropy, it is running two Fibonacci series where one is not made of factors from the other, so they stress the inventory/transportation systems.
So the economy searches for the common multiple of these two production systems, to minimize interference. This is equivalent to doing a polynomial sequential multiply, and the continuing fraction comes out as a shortage bubble. The shortage bubble tries to dissipate by absorbing excess imprecision through re-aggregation of cargo sizes.
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