Integration as scientific method
It has become a tradition to consider the exact physical experimental scientific method, including experiments, mathematical deductions and falsification as some of its core ingredients, as the only reliable paradigm to check the validity of scientific hypotheses. The fact that some very important sciences, indispensable to take decisions in daily life, i.e. the so called alpha sciences (philosophy, psychology, sociology, art, economics, religion, politics, etc.), were inaccessible for this method, didn't bother too much science philosophers. "Just wait till we discover some exact tools to measure those phenomena. It's just a question of time." This promise is now repeated since nearly three centuries, and still the alpha sciences remain in the realm of unscientific, uncontrollable, irrational, mythical, obscure, implausible thinking, where the number of theories equals the number of theorists.
This article proposes a novel approach, considering that classical science is only one of at least two methods to control the plausibility and reliability of scientific hypotheses. The second method is described. Some historical research yields evidence that this method in fact exists since a long time, from the Renaissance scientists to Kant and Whitehead, and that it even "invented" the modern scientific method. And, most probably, the brain itself functions that way.
Confronted with life's experiences, man constantly tries to "understand" things happening around him: which factors contribute to it, to which extend they do so, and how these factors could be influenced to achieve our goals? Even at brain level, spontaneous abstractions and analogies are elaborated, and hypotheses are induced, at different levels of abstraction.
The fundamental question is: how can we be sure that these hypotheses, on which we trust to take action, are reliable, plausible, "exact"? This is the purpose of science: to control the spontaneously induced hypotheses.
The thinking process consists of four steps, often cyclically repeated:
- making concrete observations;
- induction, formulating general hypotheses out of a number of concrete observations;
- deduction, formulating concrete applications starting with hypotheses and combining them with data;
- checking if the conclusions / predictions of the deduction(s) comply with observed reality.
Science is an intellectual method to control, i.e. to prove or to falsify, hypotheses that where spontaneously formulated by a subconscious and spontaneous process, called induction.
It is important to note that, up to now, all the hypotheses, including these that made exact science so useful and impressive, were spontaneous and subconscious, i.e. highly uncontrollable and largely unpredictable. Even Einstein could not explain how he "discovered" his creative theories.
Exact science is a scientific method where the validity of a hypothesis is controlled or falsified (i.e. proved or refuted) by making the 4 steps of thinking as reliable as possible:
- observations are to be made with exact measurements, repeated to make sure general tendencies are measured, by controlling the fluctuating margins of the measurements;
- inductions -- were and still are uncontrollable and unpredictable
- deductions are to be made with correct mathematical computations, and using reliable former theories
- checking by controlling the predictions, and making experiments, i.e. varying each aknowledged factor ("variable")
By its nature, exact science is limited to fields of reality that are directly observable, exactly measurable, and open for manipulation and experiment. Practically speaking, exact science is limited to a range of reality, going form level 3 (elements of atoms) to level 8 (animals and plants) (see Evolution Scheme). Levels 1, 2 and 9 (this last including the so called alpha sciences) stay out of the applicability of exact science.