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The newest essays, interviews, and features from Big Think.
12mins
“You can find examples of really big environmental problems that we've already solved.” Climate change is solvable, argues Hannah Ritchie.
3mins
Don’t fall into the determinism trap. Everything is, in fact, random, says chemist Lee Cronin:
The largest particle accelerator and collider ever built is the Large Hadron Collider at CERN. Why not go much, much bigger?
With our new Analytics feature, you can easily identify trends and success metrics to maximize your learning program’s effectiveness.
Meg LeFauve and Dave Holstein drew inspiration from psychologists as well as their own children, becoming more understanding parents in the process.
Welcome to the Big Think debut of The Nightcrawler — a weekly newsletter from Eric Markowitz covering tech, innovation, and long-term thinking.
More than any other equation in physics, E = mc² is recognizable and profound. But what do we actually learn about reality from it?
Slowing growth and limiting development isn’t living in harmony with nature—it is surrendering in a battle.
How has tennis changed in recent decades? The wear and tear on Wimbledon’s Centre Court may tell the tale.
The Michelson-Morley experiment of 1887, despite expectations, revealed a null result: no effect. The implications were revolutionary.
In new business use cases where AI is the default, the potential results are phenomenal — but humans should play a key strategic role.
For centuries, Newton's inverse square law of gravity worked beautifully, but no one knew why. Here's how Einstein finally explained it.
Quarks and leptons are the smallest known subatomic particles. Does the Standard Model allow for an even smaller layer of matter to exist?
Big Think guest writer Rory Stewart — former UK Secretary of State for International Development and co-host of The Rest Is Politics podcast — made a profound discovery about leadership while working with GiveDirectly.
From size to mass to density and more, each world in our Solar System is unique. When we compare them, the results are truly shocking.
What are we supposed to do when experts look at the same data yet reach starkly different conclusions?
More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.
Today, the Large Hadron Collider is the most powerful particle physics experiment in history. What would a new, successor collider teach us?