In this article, we present a new metric called the comparative uncertainty, according to
which the least achievable relative uncertainty is calculated when measuring the Planck constant. To
calculate the comparative uncertainty, information theory is used. The optimizing criterion is the
number of quantities considered in the model. Its calculation is possible due to the fact that any
model contains a certain amount of information about the object under study. Comparative
uncertainty can be verified by field trials or computer simulations within a specified range of changes
of the Planck constant. The concept of introduced uncertainty is universal and can be recommended
for estimating the accuracy of measurements in the study of physical phenomena and technological
processes. Examples of application of the proposed approach are discussed.
This paper puts forward the notion that the universe operates in a binary manner that is
limited in measurability by the information processing ability of the observer. This has important
consequences such as increasing the speed limit of light in the universe to 1.14c within a black hole,
applying parsimonious explanations of dark matter and dark energy, and accounting for theories such
as MOND. These conclusions are arrived at on the basis of an original cosmology as well as
mathematical representations of universal rudiments and gravity. Newton’s gravitational constant is
given a range that should be used at long distances.