Riding numbers, symbols and solutions through motor knowledge transfer reframes mathematics from a cognitive subject of mental thinking into a motor-performative system of action. In this model, the learner rides mathematical pathways the same way a rider rides a bicycle or a musician rides an instrument – through differential learnography, law of reactance, and integral automaticity. ♾️ Research Introduction: Reactance-Driven Knowledge Transfer in Mathematical Riding Mathematics is commonly represented as a symbolic language of logic and computation. However, the neuroscience of skill formation suggests that high-level mathematical performance is not constructed by cognition alone – it is constructed by motor knowledge transfer. The human brain learns mathematics in the same way it learns cycling, typing or playing a musical instrument – by building procedural circuits, error-based adjustments and automatic execution. In this sense, mathematics becomes a rideable pathway rather than a...