Crowd Dynamics and Behavior

This text explores the mastery of cognitive biases to transcend an existence in survival mode toward a fluid, creative, and conscious life, integrating neuroscience, psychology, and philosophy (chapters 10-13).It analyzes extreme phenomena where biases become pathological, the mechanical construction of reality by the mind, the perception of time, and access to deep consciousness beyond physical filters. The chapters on happiness and freedom redefine them as an inner quest in

This text explores how individual cognitive biases especially loss aversion distort perception of reality, yet when aggregated, form a predictable collective rationality. It proposes a method of self-mastery to transcend these biases and foster personal and collective evolution.

The Riemann Hypothesis states that all non-trivial zeros of the zeta function lie on the critical line Re(s) = 1/2. A dynamic systems approach models these zeros as stable equilibrium points, showing that any deviation leads to instability. Massive numerical tests confirm this distribution up to t ≤ 10¹⁴. Scientific validation is still required to officially establish this resolution.

This work explores crowd behavior in markets as a cyclical, emotional phenomenon driven by biases like loss aversion and imitation, rather than rational data. It connects empirical observations to behavioral sciences, highlighting how collective memory and digital propagation shape price dynamics. Practical solutions focus on transparency, education, and ethical interventions to mitigate manipulation and foster resilient systems.

Human behavior oscillates between reproducing familiar patterns, guided by psychological refuges and contextual tensions, and advancement, driven by evolving values and creative imbalance. This universal dynamic, rooted in the brain and observable in nature, relies on psychological thresholds analyzed through a stock market-inspired methodology.