predictives in tech



by Henryk Szubinski

why it pays to be predictive

research courtesy of Wikipedia

basis of SCIFI and the basics of the predictive usage of basic assets in relation to their basic economic viability by a future market as being in SCIFI reality

will define the basics of totally unpredicted technologies in the near future as being the types of spherically inclusive functions on basis of


and the subsequent S years later ” OH I HAD THAT MADE when i thought it wouldnt work”

and the basic theory of a positive 2 x to positive 3x as related to the POSITIVE OPTIMISMS OF THE PREDICTIVE INHERENTLY as part of the MEMORY which in itself is A.I or artificial Intelligence as part of such technological laws and their interelations with the STORE of TECH.

Rather, the predictive power of economics and meteorology would mostly be limited by the models themselves and the nature of their underlying systems (see …

In economics, a model is a theoretical construct that represents economic processes by a set of variables and a set of logical and/or quantitative relationships between them. The economic model is a simplified framework designed to illustrate complex processes, often but not always using mathematical techniques. Frequently, economic models use structural parameters. Structural parameters are underlying parameters in a model or class of models.[1] A model may have various parameters and those parameters may change to create various properties.

The celestial spheres, or celestial orbs, were the fundamental entities of the cosmological models developed by Plato, Eudoxus, Aristotle, Ptolemy, Copernicus and others. In these celestial models the stars and planets are carried around by being embedded in rotating spheres made of an aetherial transparent fifth element (quintessence), like jewels set in orbs.
In the geocentric model adopted in the Middle Ages, the planetary spheres (i.e. those that contained planets) were arranged outwards from the spherical, stationary Earth at the centre of the universe in this order: the spheres of the Moon, Mercury, Venus, Sun, Mars, Jupiter, and Saturn. In more detailed models the seven planetary spheres contained other secondary spheres within them. The planetary spheres were followed by the stellar sphere containing the fixed stars; other scholars added a ninth sphere to account for the precession of the equinoxes, a tenth to account for the supposed trepidation of the equinoxes, and even an eleventh to account for the changing obliquity of the ecliptic.[1] In antiquity the order of the lower planets was not universally agreed. Plato and his followers ordered them Moon, Sun, Mercury, Venus, and then followed the standard model for the upper spheres.[2][3] Others disagreed about the relative place of the spheres of Mercury and Venus: Ptolemy placed both of them beneath the Sun and with Venus beneath Mercury, but noted others placed them both above the Sun; some, such as al-Bitruji, placed the sphere of Venus above the Sun and that of Mercury below it.[4]
In modern science, the orbits of the planets are simply the paths of those planets through mostly empty space. For medieval scholars, on the other hand, celestial spheres were actually thick spheres of rarefied matter nested one within the other, each one in complete contact with the sphere above it and the sphere below.[5] When scholars applied Ptolemy’s epicycles, they presumed that each planetary sphere was exactly thick enough to accommodate them.[6] Combining this information with astronomical observations allowed scholars to calculate that the distance to the far edge of Saturn (or to the inside of the stellar sphere) was 73,387,747 miles.[7]


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