
Nobel laureate Saul Perlmutter's guide to cutting through modern chaos with scientific thinking. Learn how deliberative polling is reshaping policy decisions worldwide. Can the tools that unraveled cosmic mysteries help solve our most divisive social problems? Berkeley's legendary "Big Ideas" course - now yours.
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A Nobel Prize-winning physicist walks into a room full of policymakers and asks a simple question: "How do we know what we know?" The silence that follows reveals something profound about our era. We've built a civilization on scientific knowledge-vaccines that save millions, technologies that connect billions, systems that feed the world-yet most of us have no idea how to evaluate the very expertise we depend on. This isn't just an intellectual puzzle. During the pandemic, this confusion killed people. When climate scientists issue warnings, this uncertainty paralyzes action. When doctors recommend treatments, this doubt breeds conspiracy theories. We're drowning in information while starving for wisdom, and the cost is mounting daily. Every meaningful choice we make involves a hidden tension between three forces: expertise, values, and autonomy. Consider a parent facing treatment options for their child's cancer. The oncologist provides survival statistics-that's expertise. But those numbers can't tell you whether avoiding brutal side effects matters more than maximizing survival odds by a few percentage points-that's values. And ultimately, you must live with the choice-that's autonomy. Get the balance wrong, and disaster follows. Overweight expertise, and you get the Challenger explosion, where NASA officials ignored engineers' warnings because they trusted their own confident (but wrong) calculations. Overweight autonomy, and you get people "doing their own research" on vaccines, making themselves vulnerable to charismatic conspiracy theorists. The sweet spot requires something counterintuitive: experts must persuade rather than command, explaining not just what they know but how they know it and what they don't know.
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Cree par des anciens de Columbia University a San Francisco
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