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The Fermi Paradox: Dark Forest Theory17:55

The Fermi Paradox: Dark Forest Theory

412K views • 7 years ago
Isaac Arthur
Isaac Arthur examines the Dark Forest theory, Cixin Liu's proposed solution to the Fermi Paradox in which civilizations stay silent and may destroy any that reveal themselves. He tests the theory's underlying assumptions and arguments.
Why We Should NOT Look For Aliens - The Dark Forest10:31

Why We Should NOT Look For Aliens - The Dark Forest

17.7M views • 4 years ago
Kurzgesagt – In a Nutshell
Kurzgesagt animated explainer on the Dark Forest answer to the Fermi Paradox. It argues that if advanced civilizations exist, staying silent may be the safest strategy because revealing yourself invites a first strike.
Is Meat Really that Bad?10:14

Is Meat Really that Bad?

9.2M views • 4 years ago
Kurzgesagt – In a Nutshell
A Kurzgesagt animated explainer on the climate and environmental cost of meat. It covers how beef drives deforestation and emissions, and how this compares with plant-based foods.
You've (Likely) Been Playing The Game Of Life Wrong45:13

You've (Likely) Been Playing The Game Of Life Wrong

11.6M views • 11 months ago
Veritasium
Veritasium explains why many real-world systems follow power laws rather than normal distributions. It covers self-organized criticality, with simulations of sandpiles, magnetism and forest fires.
Why this British crossroads was so dangerous4:12

Why this British crossroads was so dangerous

3.9M views • 6 years ago
Tom Scott
Tom Scott explains why Ipley Cross in England's New Forest was one of Britain's most dangerous junctions. The angled crossroads lets a car's A-pillar hide approaching traffic and cyclists because there is no relative motion in the driver's view.
Neural Network Learns The Physics of Fluids and Smoke | Two Minute Papers #1185:26

Neural Network Learns The Physics of Fluids and Smoke | Two Minute Papers #118

209K views • 9 years ago
Two Minute Papers
Two Minute Papers covers a paper on speeding up fluid and smoke simulation with convolutional networks. It contrasts the approach with earlier regression forest methods.