  The global population growth from 10,000 BC to 2023 is discussed within the
Verhulst scaling equation and its extensions framework. The analysis focuses on
per the capita global population rate coefficient
Gp(P)=[dP(t)/P(t)]/dt=dlnP(t)/d, which reveals two linear domains: from 700CE
till 1966 and from 1966 till 2023. Such a pattern can be considered a universal
reference for reliable scaling relations describing P(t) changes. It is also
the distortions-sensitive test indicating domains of their applicability and
yielding optimal values of parameters. For models recalling the Verhulst
equation, a single pair of growth rate and system capacity coefficients (r,s)
should describe global population rise in the mentioned periods. However, the
Verhulst equation with such effective parameters does not describe P(t)
changes. Notable is the new way of data preparation, based on collecting data
from various sources and their numerical filtering to obtain a smooth set of
optimal values enabling the derivative-based analysis. The analysis reveals
links between P(t) changes and some historical and pre-historical references
influencing the global scale.
