Science
Scientific content
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The Big Bang Theory: How the Universe Began and Keeps Expanding
Learn More →: The Big Bang Theory: How the Universe Began and Keeps ExpandingThe essence of The Big Bang Theory is that the universe began in an extremely hot, dense state about 13.8 billion years ago and has been expanding and cooling ever since. Read on to learn more.
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The Theory of General Relativity: Why Gravity Is Curved Spacetime
Learn More →: The Theory of General Relativity: Why Gravity Is Curved SpacetimeThe essence of The Theory of General Relativity is that gravity is not a force pulling across space, but the curving of space and time by mass and energy. Read on to learn more.
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Punctuated Equilibrium: Why Change Comes in Bursts
Learn More →: Punctuated Equilibrium: Why Change Comes in BurstsThe essence of Punctuated Equilibrium is that change often comes in short bursts that break up long periods of stability. Read on to learn more.
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Emergence: How Simple Parts Create Complex Wholes
Learn More →: Emergence: How Simple Parts Create Complex WholesThe essence of Emergence is that many simple parts following local rules can create patterns and behavior that no one planned. Read on to learn more.
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The Placebo and Nocebo Effects: How Expectations Heal and Harm
Learn More →: The Placebo and Nocebo Effects: How Expectations Heal and HarmThe essence of the Placebo and Nocebo Effects is that what we expect a treatment to do can make us feel better or worse. Read on to learn more.
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Falsifiability: Why the Best Ideas Can Be Proven Wrong
Learn More →: Falsifiability: Why the Best Ideas Can Be Proven WrongThe essence of Falsifiability is to ask what evidence would prove an idea wrong, and then go looking for it: a claim that rules nothing out explains nothing. Read on to learn more.
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The Map Is Not the Territory: Why Every Model Leaves Something Out
Learn More →: The Map Is Not the Territory: Why Every Model Leaves Something OutThe essence of The Map Is Not the Territory is that every map, model, number or word I rely on is a simplified picture of reality, so I ask what it leaves out and check it against the real thing. Read on to learn more.
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Moravec’s Paradox: Why the Easy Things Are Hard for Machines
Learn More →: Moravec’s Paradox: Why the Easy Things Are Hard for MachinesThe essence of Moravec’s Paradox is that what is hard for us is often easy for computers, while what feels effortless to us is hardest for machines, so I ask whether a task is truly hard or only feels easy. Read on to learn more.
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Key Points from my Conversation with Jan-Ole Hesselberg
Learn More →: Key Points from my Conversation with Jan-Ole HesselbergJan-Ole Hesselberg discusses decision-making biases, the importance of recognizing opportunity costs, and strategies to improve judgment in group settings. He emphasizes the need for structured decision processes to minimize errors.