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On this exciting episode we have the distinct honor of speaking with two-time Olympic gold medalist in the decathlon, Ashton Eaton.
Ashton shares his inspiring journey from humble beginnings to becoming one of the greatest athletes of our time. He emphasizes the paramount importance of character, urging us all to do the right thing, even when the right thing is hard.
Ashton opens up about his intense training regimens, designed to prepare him for every possible scenario, and how this meticulous preparation led to his unparalleled success on the athletic field.
We also explore Ashton's reflections on the fear of failure and the continuous pursuit of goals and dreams. He recounts defining moments that solidified his Olympic aspirations, the critical role of support from coaches, family, and teammates, and the transformative effects of maintaining clear objectives.
Ashton touches on his transition from competitive athletics to life post-retirement, where he continues to leverage his platform for good. He shares heartwarming stories about his family, fatherhood, and how traveling to the Paris Olympics with his young children revealed new dimensions of life’s challenges and rewards.
Together, we discuss the evolving landscape of athlete branding and social media, and Ashton's thoughts on how athletes today have a unique opportunity to share their diverse stories like never before. Lastly, we dive into the beauty of sport, the joy it brings, and its incredible power to unite the world.
Tune in for an episode filled with wisdom, humility, and motivation. Join us as we celebrate Ashton's journey and uncover the valuable lessons we can all apply to our own lives.
Ashton Eaton is a 2-time Olympic gold medalist in the decathlon from London 2012 and Rio 2016. He has degrees in psychology and mechanical engineering from the University of Oregon and Portland State respectively and is currently an innovation engineer at Nike. Prior to Nike, Ashton worked at Intel’s Olympic Technology Group on 3D sport performance analysis using computer vision and AI. He lives near Portland Oregon with his wife and two children.
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