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Showing posts from January 29, 2025

Paradox Theory: Resolving Contradictions in Science, Logic, and Life

Paradox Theory: Resolving Contradictions in Science, Logic, and Life Have you ever faced a problem where two reasonable ideas seem to contradict each other, leaving you puzzled? From quantum mechanics to everyday decision-making, paradoxes challenge our understanding of the world. But what if there was a way to resolve these contradictions? That's where Paradox Theory comes in—a framework I’ve developed to make sense of some of the most perplexing puzzles across science, logic, and life. In this blog, we’ll explore five well-known paradoxes—the Measurement Problem , Newcomb’s Paradox , The Information Loss Paradox , The Liar Paradox , and The Boltzmann Brain Problem —and see how Paradox Theory can provide clarity. What is Paradox Theory? At its core, Paradox Theory helps us understand why contradictions arise and how we can resolve them. It provides a framework to examine the tensions between seemingly conflicting ideas. Here’s a simple breakdown: I (Invariant) : The found...

Calculating Temporal Physics

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 First, let me start by saying that the mechanism of flows is based on the instantaneous exchange of values between neighboring flows in a single dimension, constrained by limits such as the speed of light and Planck time. These exchanges give rise to the illusion of causality, which we perceive as the arrow of time. However, time itself is not flowing in one direction; rather, the present state of the system is determined by the dynamic interactions between these flows. The concepts of past and future emerge from our reflection on these interactions, not as true physical realities within the system. Inertia, in this context, arises from the resistance to changes in the state of motion, resulting from the continuity and persistence of these flow exchanges. That said let's formulate these fundamental equations based on flow-inertia model. First, the model's core concept: Time flow and inertia relationship: m = k * |f| / ρ_f where: m is inertial mass |f| is flow magnitude ρ_f is ...