Sigma Game

Sigma Game

The First Draft is Done

Sigma Game will be released in February

Feb 12, 2026
∙ Paid

A brief excerpt from a chapter of the book that some may not be expecting. The full title will be: SIGMA GAME: The Complete Socio-Sexual Hierarchy.

SSH as a Corporate Management Tool

Every corporation on the planet faces the same fundamental problem: it puts the wrong people in the wrong roles. The Peter Principle, identified more than half a century ago, remains as problematic for organizations today as when Laurence Peter first described it. Competent workers are promoted into management positions for which they are unsuited, whereupon they fail, stagnate, and drag down the organizations that elevated them. Meanwhile, genuine leaders languish in individual contributor roles because no one in human resources possesses the tools to distinguish between a man who is excellent at his job and a man who is excellent at leading other men who do the job.

The socio-sexual hierarchy offers a solution. Not a theoretical one, not a speculative one, but a practical framework for identifying male behavioral patterns with sufficient accuracy to revolutionize how corporations recruit, promote, assign, and retain their male employees. When combined with modern AI-driven analytics, the SSH becomes the most powerful organizational tool since the assembly line, one capable of delivering productivity gains of twenty to thirty-five percent in realistic implementations, and potentially far more under optimal conditions.

This is not a modest claim. It is not intended to be. The scale of the dysfunction that SSH-informed management addresses is so enormous, and so deeply embedded in the assumptions of modern human resources practice, that even a partial correction produces transformative results. What follows is an examination of how the SSH framework would function as a corporate management tool, what gains it would produce, what risks it would need to mitigate, and how a cautious, iterative implementation could be structured to maximize returns while minimizing disruption.

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