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Null References: The Billion Dollar Mistake - Tony Hoare1:01:59

Null References: The Billion Dollar Mistake - Tony Hoare

66K views • 7 years ago
JoseCan
Tony Hoare's InfoQ talk in which he describes introducing null references in ALGOL W in 1965 and calls it his billion-dollar mistake. He discusses language designer responsibility and run-time checks.
Watching This Video Disqualifies You From Jury Duty for Life4:30

Watching This Video Disqualifies You From Jury Duty for Life

21.2M views • 12 years ago
CGP Grey
CGP Grey explains jury nullification, a juror's power to acquit despite the law, and why mentioning it can get you struck from jury selection.
Maybe Not - Rich Hickey1:03:29

Maybe Not - Rich Hickey

181K views • 7 years ago
ClojureTV
Rich Hickey's Clojure/Conj 2018 keynote argues that Maybe/Option types and rigid type signatures are a poor way to model data that changes over time. He builds the case around optionality, schema growth and compatibility, and presents the ideas behind Clojure spec as an alternative.
RailsConf 2015 - Nothing is Something35:53

RailsConf 2015 - Nothing is Something

84K views • 11 years ago
Confreaks
Sandi Metz argues that hidden assumptions in code are missing concepts, and shows how to name and expose them so code is easier to understand and change. It covers null objects and messages in Ruby.
Optional - The Mother of All Bikesheds by Stuart Marks58:43

Optional - The Mother of All Bikesheds by Stuart Marks

63K views • 9 years ago
Devoxx
Stuart Marks explains the intended purpose and proper use of Java 8's Optional class and why it caused so much controversy. He gives guidelines for using its small API correctly.
Winamp 2.91 -- It Really Whips the Llama's Ass0:06

Winamp 2.91 -- It Really Whips the Llama's Ass

694K views • 12 years ago
Dwight Schrute
A brief clip of the Winamp 2.91 startup sound, with its famous audio line about whipping the llama's ass, uploaded as a tribute.
Dance p 3 Mar099:36

Dance p 3 Mar09

83K views • 17 years ago
Geoff Cumming
Geoff Cumming uses a simulation to show how wildly the p value varies from one replication to the next because of sampling variability. He argues for estimation and confidence intervals over null hypothesis significance testing.