In "Solve for Happy," Mo Gawdat, a mastermind at Google's innovation hub, presents a transformative approach to understanding and attaining happiness through a methodical, engineering-based perspective. With an illustrious career that has always leaned heavily on logic and problem-solving, Gawdat embarks on a deeply personal journey to decode what makes us truly happy. Drawing from his vast experience, he constructs an algorithm that aims to demystify the complex interplay of factors leading to genuine contentment. This book is not merely a collection of theoretical concepts; it is a lifeline thrown to us by someone who has navigated the treacherous waters of profound loss and emerged with insights that promise to alter the way we perceive happiness fundamentally. Gawdat's narrative is as compelling as it is enlightening, grounded in the tragic loss of his son, Ali, which becomes the ultimate test of his happiness equation. Through his grief, he offers a poignant and universally applicable lesson on how to confront the most unimaginable challenges life throws our way. "Solve for Happy" is more than a book; it's a journey alongside Gawdat as he lays bare the illusions that obscure our joy, challenges the brain's inherent biases, and guides us toward embracing truths that have the power to liberate us from suffering. With each page, readers are invited to recalibrate their understanding of joy and suffering, equipped with practical steps to achieve a state of lifelong happiness and peace.