values

Bryan Cantrill's Monktoberfest 2017 talk on leadership and organizational principles, ranging from the Gettysburg Address to Uber and Amazon. He argues for the difference between principles and values and criticizes vague corporate principles.

Bryan Cantrill argues that programming languages and platforms reflect core values, and compares languages through that lens, with Rust as a main example. He draws on his experience with Solaris, DTrace and ZFS.

John Rauser's Strata 2014 keynote argues that programmers can learn statistics quickly by simulating random processes and shuffling data. He explains p-values through resampling rather than formulas.

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.

A podcast episode of Arrested DevOps with Andrew Clay Shafer and Bryan Cantrill, featuring Cantrill's rant on integrity in companies and technology.

Rich Hickey's talk on time, state, identity and values, arguing that mutable object-oriented modeling fits the world poorly. It lays out the thinking behind Clojure's approach to data and change.

Michael Feathers' GOTO Chicago 2018 talk on reducing error checks and conditional logic in code. He offers a framework for handling errors and decisions at the level of code and architecture.

A Lambda Days keynote by Simon Peyton Jones and Tim Sweeney introducing Verse, Epic's functional logic language for the metaverse. It covers existential variables, unification and expressions yielding multiple values.

Scott Aaronson's Harvard CMSA talk traces what mathematical truths are knowable, from Godel and Turing to the Busy Beaver function. He covers recent work on Busy Beaver values.