haruki zaemonExcuse me but why are you eating so many frogs
Shared by Simon HarrisSo they end up reading articles about how to love things they don’t love that much and how to feel full without eating enough.
Guiding principle: developing products is about developing people
Shared by Simon HarrisEngineering metrics that matter and why velocity is not one of them
Shared by Simon HarrisHow bundling benefits sellers and buyers
Shared by Simon HarrisC-Suite blog
Shared by Simon HarrisHow to get helpful, actionable feedback from your colleagues
Shared by Simon HarrisWhy Planning Over Strategy?
Shared by Simon HarrisHow to turn everyday stress into ‘optimal stress’
Shared by Simon HarrisBuilding software is not a job scheduling optimization problem
Shared by Simon HarrisBe good-argument-driven, not data-driven - Richard Marmorstein
Shared by Simon HarrisThe Mystery Inside Monkeypox Vaccines - The Atlantic
Shared by Simon HarrisWhat Would Have to be True?
Shared by Simon HarrisAre your leaders accidentally diminishing their teams?
Shared by Simon HarrisThe Five Tools of Hedonic Design
Shared by Simon HarrisWhy aren't smart people happier?
Shared by Simon HarrisAgainst All Applications
Shared by Simon Harrisp-Hacking in A/B Testing by Ron Berman, Leonid Pekelis, Aisling Scott, Christophe Van den Bulte :: SSRN
Shared by Simon HarrisExperimenters indeed p-hack, at times. Specifically, about 73% of experimenters stop the experiment just when a positive effect reaches 90% confidence. Also, approximately 75% of the effects are truly null. Improper optional stopping increases the false discovery rate (FDR) from 33% to 40% among experiments p-hacked at 90% confidence. Assuming that false discoveries cause experimenters to stop exploring for more effective treatments, we estimate the expected cost of a false discovery to be a loss of 1.95% in lift, which corresponds to the 76th percentile of observed lifts.