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Protecting Privacy with MATH (Collab with the Census)12:32

Protecting Privacy with MATH (Collab with the Census)

451K views • 7 years ago
minutephysics
minutephysics, in collaboration with the US Census Bureau, explains differential privacy and why the 2020 census adds noise to protect individuals' data. It walks through how statistics can leak private information.
Datacenters Behaving Like Acoustic Weapons29:05

Datacenters Behaving Like Acoustic Weapons

1.8M views • 8 months ago
Benn Jordan
Benn Jordan investigates infrasound and low-frequency noise from data centers, including xAI's Colossus and a crypto mine, and reports his own experiments on the effects. The video covers the health and community impacts on nearby residents.
Orbital Data Centers Yes or No14:32

Orbital Data Centers Yes or No

18K views • 1 year ago
Eager Space
Eager Space examines the practicality of putting data centers in orbit, walking through three scenarios with cost calculations and the launch cost reductions that would be required.
Why Everyone Is Talking About Data Centers In Space28:11

Why Everyone Is Talking About Data Centers In Space

408K views • 10 months ago
Scott Manley
Scott Manley examines why SpaceX, Google and others are looking at orbital data centers. He walks through the economics, heat rejection and solar power arguments, with links to the Lumen/Starcloud and Google Suncatcher papers.
Is It Really Impossible To Cool A Datacenter In Space?24:30

Is It Really Impossible To Cool A Datacenter In Space?

1.1M views • 7 months ago
Scott Manley
Scott Manley explains the thermal balance of spacecraft and how a satellite could be configured to radiate away the heat from datacenter-scale computing in space. His rough numbers suggest it is feasible.
Does It Make Sense To Put Data Centers In Space? Can They Really Cost Less To Operate?16:37

Does It Make Sense To Put Data Centers In Space? Can They Really Cost Less To Operate?

502K views • 2 years ago
Scott Manley
Scott Manley analyzes the idea of putting data centers in orbit, prompted by Lumen Orbit's funding. He examines the claimed advantage of constant solar power against launch cost, cooling and mass.
DNA Testing and Privacy (Behind the scenes at the 23andMe Lab) - Smarter Every Day 17614:24

DNA Testing and Privacy (Behind the scenes at the 23andMe Lab) - Smarter Every Day 176

1.5M views • 9 years ago
SmarterEveryDay
Destin of Smarter Every Day goes behind the scenes at the 23andMe lab to show how genotyping works. He also discusses DNA testing and privacy.
How They Caught The Golden State Killer27:12

How They Caught The Golden State Killer

10.1M views • 5 years ago
Veritasium
Veritasium explains how investigators caught the Golden State Killer using forensic genealogy, matching crime scene DNA to distant relatives in public genealogy databases. It also covers the privacy implications of DNA databases.
Topic match · Privacy, surveillance & cybercrime
America Keeps Rejecting an ID Card It Already Has7:49

America Keeps Rejecting an ID Card It Already Has

13.6M views • 9 years ago
CGP Grey
CGP Grey explains the history of the US Social Security card and number, and why they became a de facto national ID despite never being meant for it. He also covers why America resists a proper identity card.
Topic match · Privacy, surveillance & cybercrime
Breaking The Creepy AI in Police Cameras35:49

Breaking The Creepy AI in Police Cameras

3.8M views • 1 year ago
Benn Jordan
Benn Jordan explains how Flock Safety's license plate cameras log and share vehicle locations, and explores how adversarial AI can defeat them. It covers weak security and the surveillance risks of private police-camera networks.
Topic match · Privacy, surveillance & cybercrime
The Only Safe Phone Is One Even the Police Can't Unlock4:38

The Only Safe Phone Is One Even the Police Can't Unlock

4.1M views • 10 years ago
CGP Grey
A five-minute CGP Grey explainer arguing that a phone is effectively an extension of your mind, and that any backdoor or master key into encrypted devices will inevitably be abused or leaked. It frames the encryption debate as locks that are either unbreakable or absent.
Topic match · Privacy, surveillance & cybercrime
Intel ME explained (intel management engine) from insider6:36

Intel ME explained (intel management engine) from insider

12K views • 8 years ago
jessie
A short video explaining the Intel Management Engine, a hidden embedded computer inside Intel machines with deep access to hardware. It is presented from an insider's perspective and raises backdoor and NSA concerns.
Topic match · Privacy, surveillance & cybercrime
Using AI To Detect AI Music (and other music industry data-porn)19:42

Using AI To Detect AI Music (and other music industry data-porn)

452K views • 1 year ago
Benn Jordan
Musician Benn Jordan uses AI to detect AI-generated music and digs into music industry data, including streaming payouts and sample library copyright problems. He covers ways to tell whether a track is human-made.
Propaganda Games: Sesame Credit - The True Danger of Gamification - Extra Credits7:39

Propaganda Games: Sesame Credit - The True Danger of Gamification - Extra Credits

2M views • 10 years ago
Extra Credits
An Extra Credits episode on China's Sesame Credit, which gamifies obedient citizenship through a social score. It covers how the system rewards conformity and pressures people through their friends' behavior.
Topic match · Privacy, surveillance & cybercrime
Why are people mean on Twitter? - Smarter Every Day 21421:24

Why are people mean on Twitter? - Smarter Every Day 214

957K views • 7 years ago
SmarterEveryDay
Destin Sandlin of Smarter Every Day examines how bad actors and bots use Twitter, drawing on the released Russian IRA dataset and interviews. It asks why interactions on the platform turn hostile.
Topic match · Privacy, surveillance & cybercrime
Hans Rosling's 200 Countries, 200 Years, 4 Minutes - The Joy of Stats - BBC4:48

Hans Rosling's 200 Countries, 200 Years, 4 Minutes - The Joy of Stats - BBC

11.5M views • 15 years ago
BBC
Hans Rosling uses augmented-reality animation to show 200 countries over 200 years in four minutes, built from 120,000 data points. It tracks life expectancy and income to show the world's development.
Immigration, World Poverty and Gumballs6:08

Immigration, World Poverty and Gumballs

6.8M views • 16 years ago
NumbersUSA
Roy Beck's short gumball presentation using World Bank and Census data to argue that letting people immigrate to the US cannot solve world poverty because the numbers are so large. It is made by NumbersUSA, an immigration-restriction advocacy group.
Overpopulation – The Human Explosion Explained6:40

Overpopulation – The Human Explosion Explained

14M views • 9 years ago
Kurzgesagt – In a Nutshell
A Kurzgesagt explainer on why the human population exploded and why growth is slowing, drawing on Our World in Data. It argues that birth rates fall as countries develop, easing overpopulation fears.
Who Is Responsible For Climate Change? – Who Needs To Fix It?10:36

Who Is Responsible For Climate Change? – Who Needs To Fix It?

11.7M views • 6 years ago
Kurzgesagt – In a Nutshell
Kurzgesagt examines who is responsible for climate change, comparing historical, current and per-capita emissions by country. It argues that individual footprints are a distraction from larger responsibility.
I Saved a PNG Image To A Bird30:53

I Saved a PNG Image To A Bird

2.1M views • 1 year ago
Benn Jordan
Benn Jordan's video about storing a PNG image in a living bird, a starling that learns to reproduce encoded sounds. It mixes ornithology, audio engineering, and data encoding.
Why ChatGPT Can't Draw a Full Glass of Wine20:55

Why ChatGPT Can't Draw a Full Glass of Wine

6.3M views • 1 year ago
Alex O'Connor
Alex O'Connor shows that ChatGPT cannot draw a wine glass filled to the brim, and ties the failure to David Hume's missing shade of blue. It asks what the failure says about how image models learn.
Why do Biden's votes not follow Benford's Law?17:46

Why do Biden's votes not follow Benford's Law?

3.7M views • 5 years ago
Stand-up Maths
Matt Parker examines claims that Biden's 2020 vote counts violate Benford's Law, explaining the law and why it often does not apply to precinct-level election data.
The Art Of Poison-Pilling Music Files27:11

The Art Of Poison-Pilling Music Files

1.1M views • 1 year ago
Benn Jordan
Musician Benn Jordan explains and demonstrates adversarial noise that poison-pills music files against AI training and scraping.
In Norway, Everyone Can Know How Much You Earn3:13

In Norway, Everyone Can Know How Much You Earn

1.3M views • 10 years ago
Tom Scott
Tom Scott explains how in Norway and other Nordic countries tax returns, and so individual incomes, are public. He looks at the effects of wage transparency and whether it is a good idea, with sources listed in the description.
Topic match · Privacy, surveillance & cybercrime
The hidden background noise that can catch criminals5:31

The hidden background noise that can catch criminals

5.8M views • 4 years ago
Tom Scott
Tom Scott explains Electrical Network Frequency analysis, where hum from the power grid in a recording is matched against grid logs to date and place it. He talks to a researcher and sets them a challenge.
Topic match · Privacy, surveillance & cybercrime
Trusted Computing? Yes or No3:31

Trusted Computing? Yes or No

47K views • 20 years ago
Robin Good
A four-minute 2006 explainer on trusted computing, describing what it is and whether users should support it, with a skeptical DRM angle.
Topic match · Privacy, surveillance & cybercrime
Elliptic Curve Back Door - Computerphile12:24

Elliptic Curve Back Door - Computerphile

554K views • 8 years ago
Computerphile
Dr Mike Pound explains the suspected backdoor in the Dual_EC_DRBG random number generator and how elliptic curve constants could let someone predict its output.
Topic match · Privacy, surveillance & cybercrime
Tea Consent2:51

Tea Consent

12.4M views • 11 years ago
Blue Seat Studios
A three-minute animated video that explains sexual consent through the analogy of offering someone a cup of tea. It is based on a blog post by Emmeline May.
The Computer Designed To Die In Microseconds14:03

The Computer Designed To Die In Microseconds

408K views • 3 years ago
Scott Manley
Scott Manley tells the story of a computerized telemetry system built to sit at the heart of a nuclear test device in place of the plutonium pit, designed to transmit data in the microseconds before it was destroyed.
Transformers, the tech behind LLMs | Deep Learning Chapter 527:14

Transformers, the tech behind LLMs | Deep Learning Chapter 5

11.6M views • 2 years ago
3Blue1Brown
3Blue1Brown's visual explanation of how transformers and GPT-style language models work, tracing data through tokens, embeddings and attention.
How Much Do Rockets Pollute? Are They Bad For Our Air?55:46

How Much Do Rockets Pollute? Are They Bad For Our Air?

1.3M views • 6 years ago
Everyday Astronaut
Everyday Astronaut's Tim Dodd runs an hour-long, data-driven analysis of what rockets actually emit and how that compares with airliners and other industries. It breaks down exhaust by propellant type, per-passenger and total emissions, and ways launches could be cleaner.
The Grille Trend that Kills 509 People per Year8:21

The Grille Trend that Kills 509 People per Year

1.3M views • 2 years ago
FortNine
FortNine looks at the data on why newer pickup trucks with tall, blunt grilles kill so many pedestrians, cyclists and motorcyclists. It argues that lowering hood height would substantially cut fatalities.
Your Post Code Is the Directions, Not the Destination7:49

Your Post Code Is the Directions, Not the Destination

3.9M views • 1 year ago
CGP Grey
CGP Grey explains that postal codes are routing instructions for mail rather than geographic regions. He looks at the quirks and problems this causes.
Explained: "Go Fast" UFO Video - Not Low and Not Fast - Like a Balloon!6:43

Explained: "Go Fast" UFO Video - Not Low and Not Fast - Like a Balloon!

156K views • 7 years ago
Mick West
Mick West analyzes the Navy "Go Fast" UFO footage and shows with simple trigonometry and the data overlay that the object is slow and high up, consistent with a balloon. He explains how parallax makes it look fast and argues the original TV claims were wrong.
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.
The Antique Microwave Oven that's Better than Yours14:21

The Antique Microwave Oven that's Better than Yours

2.7M views • 5 years ago
Technology Connections
Technology Connections examines an old feature-rich microwave and shows how it uses a humidity or steam sensor and lookup data to cook food well, arguing it beats many modern ones.
The Truth About Electric Towing25:59

The Truth About Electric Towing

529K views • 1 year ago
Aging Wheels
Aging Wheels tests how towing trailers affects the range of electric trucks, including a Silverado EV. It shows that trailer aerodynamics matters far more than added weight.
The Smartphone CPU Review You NEED to Watch!26:13

The Smartphone CPU Review You NEED to Watch!

345K views • 4 years ago
Geekerwan
Geekerwan reviews smartphone CPUs by power efficiency rather than benchmark scores, with test methodology and chapters on Qualcomm, Apple, Samsung and Google chips. It explains why high benchmark scores can coexist with heat and poor battery life.
Web 2.0 ... The Machine is Us/ing Us4:32

Web 2.0 ... The Machine is Us/ing Us

12.1M views • 19 years ago
Michael Wesch
Michael Wesch's five-minute video about Web 2.0, showing how the read/write web, XML and user-generated content change how people create and share information.
Glitch Tokens - Computerphile19:29

Glitch Tokens - Computerphile

353K views • 3 years ago
Computerphile
Rob Miles explains "glitch" tokens, odd strings in large language model vocabularies that make the model produce gibberish. He covers how they likely arise from tokenizer training data, such as Reddit usernames, that never appeared in the model's own training.