A Cryptomathematical Analysis of the US Best Sellers Lists.

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A recent application of the cryptomathematical method is an analysis of the bestseller book lists in de USA with the help of Fournier’s theorem. This has been published as a pamphlet by an unknown author around 2015 under the title Synthetic Literary Criticism

There is a consensus in the scientifically community that literary activity and sociological processes are intertwined. An ongoing discussion if literature is the vehicle for introducing new sociological and cultural themes or if it is a medium that expresses and propagates already existing sociological or intellectual ideas can now be addressed.

Since it has been demonstrated in the paper that the best sold literary works followed a mathematical cycle determined by time, neither of these assumptions are true. Literary history, – contend and – development are governed by a Law of Nature that pursues its own purpose.

In theory it should be possible to forecast future trends with the proposed mathematical model, but it would only work with a relative accuracy for the non fiction literature since some functions of the literary fiction have since 1965 been usurped by other media. One might sometimes get funny answers.

The problem lies with the solidness of the system caused by small disturbances from outside. For example, neighboring equilibrates can fusion and next disappear completely; the solutions that were converging from this equilibrates, are obliged to move to somewhere else, what causes a drastically change of behavior on the long term.

In this case, the introduction of new media caused a stochastic disturbance and made  the fiction’s bestseller list to pass such a bifurcation point. This doesn’t necessarily invalidate the algorithm; it’s function may just cover a wider specter of information carriers.

The algorithm that describes the evolution of the nonfiction bestsellers seems to obey to another set of rules and is still ongoing, although the forecasting model may be in need of some additional feedback by running it through a more powerful data processor.

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