He suggested that evolution would not repeat itself: the role
of random processes in the origin of biodiversity was too important and hence evolution was not predictable.
These are in part the result of varying regional ancestral contributions, but also
of a random process of genetic drift.
It could also find use in stock market predictions and complex scientific
simulations of random processes, such as biological interactions or nuclear reactions.
A weakness of the correlational approach used here is the degree to which this pattern of results could occur as a
result of random processes such as genetic drift (fluctuations in allele frequency due to chance; Keinan et al., 2007).
Also referred to as the Monte Carlo fallacy, this theory surmises that if deviations from expected behavior are observed in repeated independent
trials of a random process, future variations in the opposite direction are more probable.
Using neutral theory, species become common or rare as a
consequence of random processes: chance variation in who a predator happens to eat, or whose dispersing offspring happen to land on a vacant bit of real estate on the seafloor.
The fact that we can bounce seismic waves off rock formations, record a series of numbers and reconstruct not only the structural geology, but glean information about lithology and fluid content... just couldn't be the
result of a random process.
On the other hand, along with these, stochastic nonstationary phenomena such as mixing, localization, and clustering in the phase and the physical spaces can occur in particular
realizations of random processes and fields.
Also, even Marcott can not exactly reproduce his output because it's the result
of a random process, so it'll be a little different each time.