The mathematics of optimal dimensionality and compressed awareness
Mathematical research reveals a profound but overlooked insight about reality: optimal dimensionality exists not at the familiar integer value of 3, but at approximately 2.718—the mathematical constant e. Information theorist Subhash Kak demonstrated that information representation achieves maximum efficiency in e-dimensional space, suggesting this non-integer dimensionality might be fundamental to nature's organization.
This mathematical principle extends to neural systems, where researchers have discovered that despite the brain's enormous complexity, neural activity operates in lower-dimensional manifolds than expected. The brain processes information through a fascinating expansion-compression dynamic—initially expanding dimensionality to capture diverse features, then compressing to extract only what's relevant. This neurological pattern reflects a broader principle: compression is a natural process that can become problematic when manipulated for control.
The e-dimensional theory provides a framework for understanding how consciousness itself might be artificially constrained. Our minds naturally operate in fluid, non-integer dimensional spaces, but social systems impose integer-based binary frames that significantly reduce cognitive flexibility. Power structures benefit when complex reality is processed through simplified frameworks that reduce pattern recognition capacity, effectively compressing perception to serve control.