Ego‑Safe Selection: A Revision of “Natural Selection” in Human Societies

Read the full article See related articles

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

This paper introduces Ego Safe Selection, a psychological and philosophical extension of Darwin’s natural selection. While traditional evolutionary theory explains the survival of biological traits through reproductive fitness, it does not fully account for the persistence of socially rewarded traits in modern human societies — traits often shaped by fear, conformity, and the need for ego validation rather than adaptive advantage. Ego Safe Selection proposes that individuals and cultures unconsciously favour traits that provide emotional or social safety, such as dominance, status, wealth signalling, and behavioural conformity, in order to manage collective anxiety and social survival.This theory draws from evolutionary psychology, social behaviour, and spiritual philosophy, positioning fear — not just survival — as a major driver in human selection. It critiques the idea that all socially dominant traits today are biologically adaptive, and instead argues that many are perpetuated because they ease social discomfort or affirm societal norms.Finally, the theory points toward a conscious alternative. Through awareness of our ego-based selection patterns, individuals can begin to make choices not driven by fear or social pressure, but by presence, love, and freedom. Love, in this context, is not transactional but foundational — an expression of unity and oneness that transcends ego, separation, and judgment. Ego Safe Selection, then, is not just a critique of unconscious evolution but a call toward conscious human transformation.ChatGPT was used solely for text modulation and language refinement. All theoretical concepts, arguments, and conclusions presented are original contributions by the author.“© 2025 Sethu Krishnan. Ego Safe Theory. All rights reserved.”

Article activity feed