MinutePhysics
Misconceptions Footnote †: Randomness and Feedback
Footnote to the main video here: https://youtu.be/HUti6vGctQM Feedback loops and spurious correlations! REFERENCES: Spurious correlations: http://www.tylervigen.com/spurious-correlations Loopy by Nicky Case: http://ncase.me/loopy/...
SciShow
Why We'll Never Build a Perfect Clock
We can make clocks that keep accurate time for millions of years. We can also make clocks with such high resolution they tick one billion billion times per second. So why can't we make a clock that does both?
PBS
Can Free Will be Saved in a Deterministic Universe?
Physicists have a long history of sticking our noses where they don’t belong - and one of our favorite places to step beyond our expertise is the question of consciousness and free will. Sometimes our musings are insightful, sometimes...
PBS
The Arrow of Time and How to Reverse It
Ever wish you could travel backward in time and do things differently? Good news: the laws of physics seem to say traveling backward in time is the same as traveling forwards. So why do we seem to be stuck in this inexorable flow towards...
SciShow
Why Colored Noise is Better Than White Noise for Focus
While many of us have heard of white noise, did you know there are a myriad of other color noises that can help with sleep, relaxation and focus? Join Michael Aranda for a new episode of SciShow, and learn which color noise might be just...
Crash Course
Dada, Surrealism, and Symbolism: Crash Course Theater #37
Watch. Dime. Develop. Powder. Pantry. Dirt. That's right, it's time for a dip into the random, because we're talking about the Dada theater that grew out of Symbolism, and the Surrealist theater that followed Dada. You'll learn about...
TED-Ed
TED-Ed: Can you steal the most powerful wand in the wizarding world? | Dan Finkel
The fabled Mirzakhani wand is the most powerful magical item ever created. And that's why the evil wizard Moldevort is planning to use it to conquer the world. You and Drumbledrore have finally discovered its hiding place in a cave, but...
3Blue1Brown
Gradient descent, how neural networks learn | Deep learning, chapter 2
An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.
Crash Course
AI Playing Games
As we mentioned last episode, one of the best test spaces for building new AI systems are games. This is because games provide a great framework for an AI to learn an objective and slowly improve. In recent years, AI has made huge...
3Blue1Brown
The hardest problem on the hardest test
A geometry/probability question on the Putnam, a famously hard test, about a random tetrahedron in a sphere. This offers an opportunity not just for a lesson about the problem, but about problem-solving tactics in general.
TED Talks
TED: We can reprogram life. How to do it wisely | Juan enriquez
For four billion years, what lived and died on earth depended on two principles: natural selection and random mutation. Then humans came along and changed everything - hybridizing plants, breeding animals, altering the environment and...
SciShow
Colored Noise, and How It Can Help You Focus
Colors like white, pink and brown aren’t just for clouds, flowers and cows! They also describe special sounds that can actually help you focus and sleep!
SciShow
How Encryption Keeps Your Data Safe
Keeping our data safe and secure is necessary in today's world, but a lot of the encryption we depend on has been in development for thousands of years!
TED Talks
Nicholas Christakis: How social networks predict epidemics
After mapping humans' intricate social networks, Nicholas Christakis and colleague James Fowler began investigating how this information could better our lives. Now, he reveals his hot-off-the-press findings: These networks can be used...
SciShow
Facebook's Secret Psychological Experiment
SciShow News explains the science behind a psychological experiment performed on about seven hundred thousand Facebook users, although none of them knew that they were participating.
SciShow
The “Devil’s Staircase” Shows Why Earthquakes Are Hard to Predict
Devastating earthquakes happen every year, and it's difficult to predict when they will happen. But they do follow one mathematical pattern known as the Devil's staircase.
3Blue1Brown
Gradient descent, how neural networks learn: Deep learning - Part 2 of 4
An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.
3Blue1Brown
Gradient descent, how neural networks learn | Chapter 2, deep learning
An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.
TED Talks
TED: The beautiful math behind the world's ugliest music | Scott Rickard
Scott Rickard set out to engineer the ugliest possible piece of music, devoid of repetition, using a mathematical concept known as the Costas Array. In this surprisingly entertaining talk, he shares the math behind musical beauty ... and...
SciShow
Magic Isn't Magic: It's Psychology
Magicians have a handy ace up their sleeve: Your brain, and they're not the only ones who know how to use it.
Be Smart
Is Evolution Random? - 12 Days of Evolution #2
Some of the biggest evolution questions finally answered.
SciShow
SciShow Quiz Show: Weird Water Creatures & Spontaneous Combustion!
SciShow Quiz Show is back, with familiar faces Hank Green and Caitlin Hofmeister battling it out over questions on water, fire, and computer science!
MinuteEarth
Why Did T Rex Have Such Tiny Arms?
It's easy to assume that every trait - including stubby arms on a terrifying predator - must be beneficial, but the forces of evolution don't really work like that.