The Wealth Gene
This audiobook is narrated by an AI Voice. We know from the companion books “The Mystery of Wealth” and “Collaboration trumps IQ” that economic growth is determined by the policy variables capitalism, democracy, rule of law (CDR) model. When natural resources and geography are added to the model, it explains approximately 90% of real per capita gross domestic product adjusted for purchasing power parity (GDPppp-international dollars). It is most impressive how few variables are required for explaining GDPppp. This is in keeping with Einstein (1879-1955) and the parsimonious principle of Occam’s Razor. These place growth economics on a sound scientific footing. The question remaining is how does a country raise its CDR in order to raise its GDPppp? This book shows that collaboration is essential for rule of law that attracts capital and protects democracy that deploys capital optimally to produce GDPppp and contribute to wealth. We show that there is a gene for collaboration and refer to it as The Wealth Gene. If the gene is turned off due to ancestral environmental stresses such as forced labor, excessive discrimination, and exposure to dangerous chemicals, it may result in a negative epigenetic transgenerational psycho sequela. A loss of collaboration skill and wealth might continue for generations, indefinitely. Gene therapy may serve to recover collaboration skills and end poverty. Our objective is to further explain and motivate entrepreneurship. The Source of Wealth It is a common belief that the source of wealth is natural resources. But the countries with the most natural resources are the poorest. To benefit from natural resources a country must have human beings with STEM knowledge. These include physics, chemistry, etc., and their extensions to applied science, technology, engineering, and mathematics. The true source is exogenous human capital ideas of imagination/creativity. Coauthors: Andrea Nelson, Anthony Billings, Felipe Llaugel, Inessa Korovyakovskaya, Kenyatta Rosier, Lorin Lee.
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Durata in (hh:mm:ss):05:43:05
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Anno edizione:2026
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