In this work, we propose a novel method for dynamically exploring chemical reactions, catalysis, and activated processes as a whole, grounded in fundamental statistical concepts such as the asymmetry of the local probability distribution function within a free energy basin. This approach inherently accounts for finite-temperature effects, which are critical when dealing with complex systems characterized by fluxional molecular motions, dynamic rearrangements, and configurational diversity. These effects play a decisive role in determining reactivity in solvated environments and reactive interfaces.