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Why Ice Is Slippery (We Were Wrong): How little we actually know about the most familiar things

Why Ice Is Slippery (We Were Wrong): How little we actually know about the most familiar things
Photo by Volodymyr Leush / Unsplash

The average person is wrong about the most trivial things. But don’t worry - they’re not alone.

I thought I understood why ice is slippery. Most people do. The scientific explanation had stood for two centuries, and it was elegantly simple: pressure and friction generate a thin layer of water on the ice surface, creating lubrication.

This explanation was built on fundamental principles we understood quite well: heat, pressure, and phase transitions.

But nobody has come back to me, since I learned this in grade school, to say, ‘Actually, researchers in Germany discovered that ice is actually slippery because of destabilised electrical charges in surface molecules, and the mismatched orientation in dipoles between the ice and your shoe.’ Perhaps that’s because we only discovered this in 2025.

But it’s an important discovery. Not just because we were wrong, but because of how attractively simple the wrong answer was. The intuitive explanation was misleading.

Richard Feynman, one of the twentieth century’s greatest minds, was himself stumped by a seemingly trivial question: why does dry spaghetti break into three pieces when snapped, instead of two? He couldn’t solve it.

The answer didn’t arrive until 2005, when French physicists Audoly and Neukirch demonstrated that the initial break creates a snap-back bending wave causing secondary fractures. Then in 2018, MIT researchers discovered you actually can break spaghetti into two pieces—if you twist whilst bending.

Nobel laureates barely understand how ice and spaghetti work, but the person on the street thinks they understand them perfectly. Even after centuries of inquiry, our explanations for seemingly simple things keep evolving.We still don’t fully understand why we sleep, despite it being universal and essential to survival. We use general anaesthesia routinely in surgery without completely understanding the mechanisms that produce unconsciousness. It works reliably, but the fundamental "why" remains partially mysterious.

Until 2011, we didn’t properly understand why bicycles are self-stable. Conventional wisdom attributed it to gyroscopic effects from spinning wheels. Research showed that the geometry and weight distribution matter more than the gyroscopic forces. Our intuitive explanation was wrong, but bicycles worked anyway.

The world doesn’t wait for knowledge

Understanding fundamental laws doesn’t automatically let you predict complex outcomes. You can understand Newtonian mechanics perfectly and not know how a spinning coin will land. You can grasp basic economics and still watch policies produce effects opposite to their intentions.In colonial India, the British government wanted to reduce the cobra population. They offered bounties for dead cobras. People responded rationally: they started breeding cobras to collect bounties. When the government realised this and ended the program, breeders released their now-worthless snakes. The cobra problem became worse than before the intervention.

Economist Robert Lucas tried to explain this phenomenon. He suggested that:

Any policy changes people’s behaviour, which invalidates the models used to predict the policy’s effects.

What works in theory breaks when it touches human adaptation. This is the Lucas Critique, and it explains why interventions that "should work" on paper so often fail in practice.The world is fractal. Simple principles don’t scale predictably, especially where humans are involved.

A policy that makes perfect sense at small scale can produce chaos at large scale. An economic intervention that works brilliantly in one context fails completely in another that looks superficially similar.

This is why intelligent people with access to identical information reach radically different conclusions about policy, economics, and society. They aren’t being stupid or dishonest. They’re observing different aspects of an immensely complex reality where cause and effect relationships shift depending on scale, context, and countless variables.

Science gives us models, not reality. Newtonian physics "worked" for centuries until it didn’t at quantum scales and relativistic speeds. Our current explanations—economic, social, scientific—might be similarly incomplete. Useful approximations that break down under scrutiny or at different scales.The gap between "this makes logical sense" and "this is actually true" can be enormous.

Between "this worked before" and "this will work again" lies a chasm of complexity we consistently underestimate.

Yet we must act. We can’t wait for perfect understanding before making decisions.

Progress demands we hold two things simultaneously: enough confidence to act and enough humility to update our thinking when reality proves us wrong.

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