@SpencrGreenberg

Who Is This Person?

Spencer Greenberg is a mathematician, entrepreneur, and public intellectual specializing in psychology, decision-making, and applied mathematics. He holds a Ph.D. in applied math from New York University, with a focus on machine learning. Greenberg founded ClearerThinking.org, a platform offering free tools for better decision-making and bias reduction, and Spark Wave, an organization conducting psychology research and developing related products. He hosts the Clearer Thinking podcast, featuring discussions on philosophy, society, and critical thinking. His work has been featured in major outlets like The Wall Street Journal, New York Times, and Fast Company. On Twitter (@SpencrGreenberg), he shares essays, AI-generated content, thought experiments, and insights on topics like biases, AI ethics, and human behavior. Recent activities (as of 2025) include posting about AI in communication, immorality scales, and joy in life, with ongoing podcast episodes and website updates publishing over 250 essays.

Spencer Greenberg demonstrates high credibility as an author and thinker, supported by his academic credentials, entrepreneurial ventures, and media features. His Twitter content is engaging, original, and aligned with his professional expertise, fostering thoughtful discourse without sensationalism. Absence of controversies or retractions, coupled with a commitment to bias reduction in his work, positions him as a reliable source in psychology and decision sciences. While community ties may introduce subtle biases toward analytical approaches, his overall output prioritizes evidence and clarity, making him a trustworthy voice for intellectual exploration.

Assessment by Grok AI

What's Their Track Record?

Strong historical accuracy with no documented fact-checks, corrections, or controversies. Greenberg's background in mathematics and machine learning, combined with his focus on promoting evidence-based thinking through Clearer Thinking tools, suggests high credibility. Early career in hedge fund management (Rebellion Research, 2010-2011) involved data-driven predictions without reported inaccuracies. Twitter activity emphasizes experiments, metaphors, and questions to encourage critical analysis rather than unsubstantiated claims, with consistent promotion of rationality and self-improvement.