Every now and then, I like to challenge myself by thinking through complex ideas. One of my favorite ways to do that is by diving into physics—a subject that explores how the universe works at its most fundamental level. Lately, I’ve been thinking about how timelines and possible outcomes might change depending on when in a timeline you look at them. So, I’ve decided to take a shot at writing about a theory I’ve been developing. I’m calling it Relativistic Divergence in Postcausal Order, and it’s my way of exploring how the future might unfold differently depending on the moment in time from which you’re observing it.
I am going to post a short overview below just to get the idea out there, and over the coming days and weeks I will progress to a full derivation of equations and a proper article.
Overview
This paper proposes a novel theoretical framework within the domain of relativistic temporal mechanics, hereafter referred to as Relativistic Divergence in Postcausal Order (RDPO). The central thesis of RDPO is that the range and structure of potential future outcomes in any given timeline are not solely a function of initial conditions or fixed causal chains, but are intrinsically dependent upon the postcausal reference point—i.e., the specific temporal coordinate at which the system is being observed, modeled, or perturbed subsequent to a defined causal origin event.
Traditional models of temporal evolution in both classical mechanics and general relativity typically assume that, once initial conditions are established and physical laws applied, future states evolve in a linear or probabilistically constrained fashion regardless of when the observer analyzes the system. RDPO challenges this assumption by positing that the temporal position of the observer or predictive system within the postcausal continuum materially alters the structure of the outcome space. In other words, the same timeline, when evaluated at different post-event temporal nodes, may yield divergent projections of future states, even under identical physical constraints and information parameters.