This chapter discusses how following already proven successful models, as interpreted through Elon Musk’s “first principles” thinking, can reduce decision-making risks. In business and personal decisions, innovation does not necessarily mean complete originality; instead, it is about prioritizing validated paths to minimize the risk of incorrect predictions. The chapter analyzes Musk’s application in two cases: autonomous driving and humanoid robots, demonstrating how he makes decisions by mimicking nature or known successful models. By using this method, businesses and individuals can avoid unnecessary risks and increase the feasibility and success rate of their decisions. Ultimately, this paper concludes how drawing on real-world successful cases during decision-making can enhance prediction accuracy and reduce failure probability, emphasizing the importance of minimizing uncontrollable variables.