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Why Adults Can't Develop Perfect Pitch16:26

Why Adults Can't Develop Perfect Pitch

1.8M views • 9 years ago
Rick Beato
Rick Beato argues that adults cannot develop true perfect pitch, which he ties to critical-period brain plasticity and language acquisition. He says it can only be developed in young children, and discusses the research behind this.
Why you DON'T want Perfect Pitch15:09

Why you DON'T want Perfect Pitch

2.5M views • 5 years ago
Adam Neely
Adam Neely explains what perfect (absolute) pitch is, how it differs from relative and quasi-absolute pitch, and why he would not want it. He covers its drawbacks, including drift with age.
Darts in Higher Dimensions (with 3blue1brown) - Numberphile32:11

Darts in Higher Dimensions (with 3blue1brown) - Numberphile

2.1M views • 6 years ago
Numberphile
Numberphile talks with Grant Sanderson of 3Blue1Brown about a darts puzzle with a shrinking bullseye. Solving it takes the volumes of high-dimensional spheres, and the answer turns up Euler's number.
Bertrand's Paradox (with 3blue1brown) - Numberphile10:43

Bertrand's Paradox (with 3blue1brown) - Numberphile

1.4M views • 4 years ago
Numberphile
Numberphile interviews Grant Sanderson of 3blue1brown about Bertrand's paradox, where different reasonable ways of picking a random chord of a circle give different probabilities.
The hardest problem on the hardest test11:15

The hardest problem on the hardest test

16.5M views • 8 years ago
3Blue1Brown
3Blue1Brown walks through a very hard Putnam competition problem and its elegant solution, emphasizing the visual intuition and the thought process behind solving it.
Who cares about topology?   (Old version)16:30

Who cares about topology? (Old version)

3.3M views • 10 years ago
3Blue1Brown
An older 3Blue1Brown video on why topology matters, built around the inscribed rectangle problem. It walks through how tori and Mobius strips appear in the solution. The channel later replaced it with an updated version.
Pi hiding in prime regularities29:43

Pi hiding in prime regularities

2.8M views • 9 years ago
3Blue1Brown
3Blue1Brown shows how pi emerges from prime numbers via complex numbers and sums of squares, culminating in a formula for approximating pi.
Blue Bubbles vs Green Bubbles: Explained!20:46

Blue Bubbles vs Green Bubbles: Explained!

6.5M views • 4 years ago
Marques Brownlee
Marques Brownlee explains why iMessage's blue and green bubbles matter, covering the technical, commercial and social side of Apple's messaging lock-in. It also discusses RCS and what could be done about it.
But what is the Fourier Transform?  A visual introduction.19:42

But what is the Fourier Transform? A visual introduction.

12.6M views • 8 years ago
3Blue1Brown
3Blue1Brown's animated visual introduction to the Fourier Transform, showing how a signal breaks into frequency components.
But what is a neural network? | Deep learning chapter 118:40

But what is a neural network? | Deep learning chapter 1

25.1M views • 9 years ago
3Blue1Brown
3Blue1Brown's first chapter on deep learning explains what neurons and layers are and the math underlying a basic neural network, using handwritten digit recognition with visual animations.
The determinant | Chapter 6, Essence of linear algebra10:03

The determinant | Chapter 6, Essence of linear algebra

5M views • 10 years ago
3Blue1Brown
A 10-minute 3Blue1Brown chapter explaining the determinant as the factor by which a linear transformation scales area or volume. It builds the idea geometrically with animations before any formulas.
Fractals are typically not self-similar21:36

Fractals are typically not self-similar

4.6M views • 9 years ago
3Blue1Brown
3Blue1Brown explains fractal dimension and shows why many fractals are not strictly self-similar. Self-similarity turns out to be a special case of the broader idea of fractional dimension.
Thinking outside the 10-dimensional box25:13

Thinking outside the 10-dimensional box

3.2M views • 9 years ago
3Blue1Brown
3Blue1Brown visualizes high-dimensional spheres to explain a surprising puzzle about how a sphere fits in a box as dimensions grow. It builds geometric intuition for counterintuitive properties of high-dimensional space.
Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra17:16

Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra

6.4M views • 10 years ago
3Blue1Brown
3Blue1Brown's chapter on eigenvectors and eigenvalues in the Essence of Linear Algebra series. It builds a visual intuition for what they mean, why an eigenbasis is useful, and ends with a puzzle.
The more general uncertainty principle, regarding Fourier transforms18:07

The more general uncertainty principle, regarding Fourier transforms

2.3M views • 8 years ago
3Blue1Brown
3Blue1Brown shows how the uncertainty principle arises from Fourier transforms. A wave packet cannot be narrow in both position and frequency, so the principle is a property of waves rather than of measurement.
What does it feel like to invent math?15:08

What does it feel like to invent math?

4.6M views • 11 years ago
3Blue1Brown
3Blue1Brown explores infinite sums from convergent to divergent, with an introduction to the 2-adic metric, themed on the cycle between discovering and inventing mathematics.
Simulating an epidemic23:12

Simulating an epidemic

5.2M views • 6 years ago
3Blue1Brown
3Blue1Brown builds toy SIR models to simulate how an epidemic spreads and tests scenarios like social distancing, travel restrictions, central gathering places and quarantine. It was made during the early COVID-19 outbreak.
But what is the Riemann zeta function? Visualizing analytic continuation22:11

But what is the Riemann zeta function? Visualizing analytic continuation

5.4M views • 9 years ago
3Blue1Brown
3Blue1Brown visualizes the Riemann zeta function and the analytic continuation that extends it beyond where its series converges, building toward the Riemann hypothesis.
Why do prime numbers make these spirals? | Dirichlet’s theorem and pi approximations22:21

Why do prime numbers make these spirals? | Dirichlet’s theorem and pi approximations

7.6M views • 7 years ago
3Blue1Brown
3Blue1Brown explains why plotting primes in polar coordinates produces spiral patterns, using modular arithmetic, Dirichlet's theorem and rational approximations of pi.
But why would light "slow down"? | Visualizing Feynman's lecture on the refractive index28:34

But why would light "slow down"? | Visualizing Feynman's lecture on the refractive index

2.9M views • 2 years ago
3Blue1Brown
3Blue1Brown visualizes Feynman's lecture on the refractive index, explaining why light appears to slow down in glass and why the effect depends on color. It builds the idea from waves produced by oscillating charges in the material.
Attention in transformers, step-by-step | Deep Learning Chapter 626:10

Attention in transformers, step-by-step | Deep Learning Chapter 6

4.8M views • 2 years ago
3Blue1Brown
3Blue1Brown's visual walkthrough of the attention mechanism inside transformers, covering self-attention, multiple heads and cross-attention. It is chapter 6 of his deep learning series.
But what is a Fourier series?  From heat flow to drawing with circles | DE424:47

But what is a Fourier series? From heat flow to drawing with circles | DE4

19M views • 7 years ago
3Blue1Brown
3Blue1Brown introduces Fourier series, from the heat equation to drawing arbitrary shapes with rotating circles. It builds a visual intuition for decomposing functions into sine waves.
Triangle of Power7:42

Triangle of Power

812K views • 10 years ago
3Blue1Brown
3Blue1Brown presents the Triangle of Power, an alternate notation that unifies powers, logarithms and roots in a single triangular symbol. The video shows how the inverse operations relate and how the notation could help.
Hilbert's Curve: Is infinite math useful?18:18

Hilbert's Curve: Is infinite math useful?

2.4M views • 9 years ago
3Blue1Brown
3Blue1Brown explains space-filling curves and the Hilbert curve, and how infinite mathematical constructions connect to finite, practical approximations. It touches on mapping between dimensions and sensory ideas.
But what are Hamming codes? The origin of error correction20:05

But what are Hamming codes? The origin of error correction

3.1M views • 6 years ago
3Blue1Brown
3Blue1Brown's discovery-oriented introduction to error correction codes, building up Hamming codes from the puzzle of locating a flipped bit. It explains the parity-check idea and why it is so efficient.
e^(iπ) in 3.14 minutes, using dynamics | DE54:08

e^(iπ) in 3.14 minutes, using dynamics | DE5

3.4M views • 7 years ago
3Blue1Brown
A short 3Blue1Brown video explaining Euler's formula e^(i*pi) = -1 through dynamics, treating velocity as the thing that moves a point to a new position. It builds geometric intuition for why an exponent with i produces rotation.
How are holograms possible?46:24

How are holograms possible?

7.2M views • 2 years ago
3Blue1Brown
3Blue1Brown explains how holograms record a 3D scene on 2D film, using wave diffraction and phase. The video includes demonstrations of several real holograms.
Gradient descent, how neural networks learn | Deep Learning Chapter 220:33

Gradient descent, how neural networks learn | Deep Learning Chapter 2

9.7M views • 9 years ago
3Blue1Brown
3Blue1Brown's second neural network chapter explains cost functions and gradient descent, showing how a network learns by minimizing error during training.
Euler's formula with introductory group theory24:28

Euler's formula with introductory group theory

2.8M views • 9 years ago
3Blue1Brown
3Blue1Brown builds intuition for Euler's formula, e^(pi i) = -1, using the core ideas of group theory. It treats exponentiation geometrically as rotation and scaling instead of repeated multiplication.
Terence Tao on the cosmic distance ladder28:33

Terence Tao on the cosmic distance ladder

6.5M views • 1 year ago
3Blue1Brown
Terence Tao and Grant Sanderson of 3Blue1Brown walk through the cosmic distance ladder, showing how humans measured distances from the Earth to the Moon, Sun, planets and beyond. It includes animations and the history behind each step.
Bayes theorem, the geometry of changing beliefs15:11

Bayes theorem, the geometry of changing beliefs

6M views • 6 years ago
3Blue1Brown
3Blue1Brown presents Bayes' theorem through a geometric diagram, showing how evidence should update beliefs. It works through the Kahneman and Tversky style questions and base rates.
Backpropagation calculus | Deep Learning Chapter 410:18

Backpropagation calculus | Deep Learning Chapter 4

4M views • 9 years ago
3Blue1Brown
3Blue1Brown's chapter 4 on deep learning gives a more formal, symbol-based account of backpropagation calculus, connecting the intuition from the previous chapter to the math found in textbooks and code.
Solving Wordle using information theory30:38

Solving Wordle using information theory

11.8M views • 4 years ago
3Blue1Brown
3Blue1Brown uses Wordle as an excuse to teach information theory and entropy, building a solver that picks guesses by expected information and incorporating word frequencies.
Satoshi Kon - Editing Space & Time7:37

Satoshi Kon - Editing Space & Time

4M views • 12 years ago
Every Frame a Painting
A video essay from Every Frame a Painting on animator Satoshi Kon and his editing style, which distorts and warps space and time. It draws on his four features and one TV series.
The medical test paradox, and redesigning Bayes' rule21:14

The medical test paradox, and redesigning Bayes' rule

1.4M views • 5 years ago
3Blue1Brown
3Blue1Brown explains why positive results on accurate medical tests are often false positives, and reframes Bayes' rule using likelihood ratios (Bayes factors) to update odds. It uses visual examples to make the reasoning intuitive.
Group theory, abstraction, and the 196,883-dimensional monster21:58

Group theory, abstraction, and the 196,883-dimensional monster

3.8M views • 6 years ago
3Blue1Brown
3Blue1Brown introduces group theory and abstract groups, then builds toward classification of finite simple groups and the enormous Monster group with its 196,883 dimensions.
Traffic Has a Perfect Solution. Humans Are the Problem.4:30

Traffic Has a Perfect Solution. Humans Are the Problem.

44.6M views • 10 years ago
CGP Grey
CGP Grey explains how traffic jams come from human driving behavior such as tailgating and reaction delays, and how leaving gaps and smoothing speed would reduce congestion. It also touches on self-driving cars.
Does "land area" assume a country is perfectly flat?17:51

Does "land area" assume a country is perfectly flat?

859K views • 6 years ago
Stand-up Maths
Matt Parker of Stand-up Maths asks whether a country's reported land area accounts for hills and mountains, working through how surface area depends on the resolution of elevation data. It follows up on a question from a viewer and work by researchers who measured it.
A4 Paper Is Too Perfect8:44

A4 Paper Is Too Perfect

10.5M views • 5 years ago
CGP Grey
CGP Grey explains the elegant ratio of A4 and the metric paper sizes, then zooms out across scales from the Planck length to the observable universe.
Why Gifted Kids Are Actually Special Needs36:03

Why Gifted Kids Are Actually Special Needs

6.9M views • 4 years ago
HealthyGamerGG
Dr. K of HealthyGamerGG argues that gifted kids can be seen as special needs, tracing a path from the gifted label to burnout and perfectionism.