Data mining programs find patterns in purely random data, and what’s more: different programs find different patterns! The pattern-search algorithm determines what pattern is observed in a purely pattern-less body of data. Taken in reverse: every given pattern may be associated with a particularly programmed pattern-deducing algorithm operating over a purely random body of data. Pattern, then, (beauty included) is in the eye of the beholder. Applied to science in general, we may envision a pattern-less, chaotic, random reality that is seen as pattern-laced, orderly and predictable by its human observers who apply to reality their evolutionary developed particular observation and deduction algorithm. No physicist has ever managed to by-pass his or her psychology. Human psychology is a product of Darwinian evolution, incidental, particular, skewed. As a species we share blindness and partiality towards the objective reality which is (per this conjecture) inherently pattern-less. Quantum mechanics admitting a probability based microcosm is scratching that objective reality.
This conjecture points to a fundamentally new strategy for natural sciences: to unlearn, unrestrict, de-evolutionize our mind to escape the narrowness of vision imposed on us by our common history as a species, and as living entities, and earlier — traced to the incidental way that amino acids were constructed.
We may approach this premise from entropy consideration. A point was selected on a line. If all that we care about is that the selection identified a point on that line then our Shannon Entropy is zero. If we care to know whether the point resides in the upper or lower half of the line then our entropy is one. If we divide the line to n equal size intervals and care to know which interval houses the selected point then our entropy is log(n), and if we care to know exactly where the point is then our entropy is infinite – the definition of pattern-less chaos. It appears then that the more we care to know reality, the more we face the reality of chaos.
It’s hard to agree that the pillars of science: gravity, electromagnetism, relativity, quantum mechanics, are all illusionary patterns and “laws” that appear as real because they are fully consistent with our skewed mechanism of observation and deduction. Alas, it is much more tenable to state that we could conceivably construct a mathematical model for a global data-mining algorithm such that a perfectly random world will be seen as having the patterns and the laws identified by our body of science. In other words, we could boldly aspire to model our skewness. That model will help us de-program ourselves from the particular path that produced us and imposed on us its increasingly narrow outlook on reality.
Why increasingly narrow? We as a species appear to be subject to knowledge acquisition momentum. That is, if incidentally we happen to acquire a piece of knowledge, that acquisition will make certain new knowledge more likely to be acquired than other equally valid elements of new knowledge. And the more knowledge we acquire (consciously or subconsciously — as a product of Darwinian evolution), the greater the knowledge acquisition momentum that carries us along, and the more blind we are to equally valid knowledge that lays on the sideway, off the trajectory of our knowledge acquisition momentum. So as science moves ahead, we indeed celebrate every additional finding, but in fact our vista of reality is getting narrower and narrower. It has been established that Darwinian evolution is not generous: every attribute we posses has evolved in the race for survival. “Nice to have” capabilities with no survival impact were not on the menu. Say then that any part of reality that had no bearing on our survival (throughout the evolutionary ladder) was not matched with any sensors to read it, nor with data-massaging logic to process it. It appears silly to assume that reality is comprised only of parts that were at some points important for our survival. It also appears that compressing vast amount of data into ‘laws’ and patterns is an efficient way to exploit and use the conclusion potential in that data. Say then that our celebrated ‘laws of nature’ are our tools for survival, not the divine blue print for setting up reality.
Negating our long established knowledge-acquisition trajectory, Unlearning, rolling back, may be impossible to do, but it appears as the thing to do regardless.
Since quantum mechanics is the most peculiar fundamental science, we may start there, and start small: can we build a pattern-seeking algorithm that when it operates on a pattern-less data will deduce a pattern or “law” affirmed by QM? If we can, then the question will be what is the likelihood that reality is pattern less, random and chaotic and that our inescapable evolutionary make-up is skewing it for us to observe in it patterns that reflect on us within, not without.
Caveats: (i)I am an engineering professor, not a physicist. My research area is intractability metrics, the universal theory of innovation, and the knowledge-realization process. I have good background to talk about false patterns observed in random data, and about knowledge-acquisition momentum, but less so with respect to advanced physics, Darwinian evolution, and human cognition and psychology. And therefore I simply put this thought “on the table” to elicit the response of complementary experts; any “etching on stones” is premature at this time. (ii) Not being a regular resident in the community of scientists wrestling with the nature of reality as such, I may be re-inventing the wheel, or raise a point that was raised and debunked long ago. If so – sorry for taking your time.


