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Veritasium explores planned obsolescence, from the Phoebus lightbulb cartel to printers and phones. It explains how companies deliberately shortened product lifetimes and why products aren't better.

A snarky, comedic video essay from Climate Town, with a guest appearance by Not Just Bikes, arguing that American suburban sprawl and single-family zoning are financially and environmentally unsustainable. It covers how zoning rules shape housing and what viewers can do locally, such as attending zoning meetings.

Dave Plummer tours the IBM z16 mainframe from design through factory assembly, test lab, accelerators and water cooling. He explains why mainframes still exist and what makes them reliable.

Pannenkoek explains how Super Mario 64 handles wall, floor and ceiling collisions, including triangles, normal vectors, quarter steps and out of bounds. It is a detailed 37-minute technical walkthrough of the game's physics.

Roaring Kitty's July 2020 analysis of GameStop, arguing a bullish deep-value case when the stock was about $4 and short interest exceeded 100%. It covers fundamentals, cash balance and technicals.

An illustrated 23-minute summary of David Friedman's talk based on The Machinery of Freedom. It describes how law, police and courts could work as market services in a stateless society, covering private law, polycentric law and objections.

Technology Connections examines why light bulbs have the lifespans they do, including the real history of the Phoebus cartel. He shows that bulb life trades off against brightness and efficiency rather than being simple planned obsolescence.

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.

A Vox explainer on how the wildlife trade and wet markets are linked to coronavirus and why new diseases keep emerging in China. It stresses that most people in China do not eat wildlife.

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.