How to deal with your demons
summary
Shows concrete biases and fixes: demonstrates base‑rate neglect with a US study where there are >20 male farmers per librarian, warns about misleading averages and prefers median over mean, cites 101 startup post‑mortems blaming lack of market, and invokes Elizabeth Loftus on memory distortion. Recommends practical tools—structured data collection, equalized retrospectives, question assumptions—and four mantras: face fear, design systems, assume nothing, and ask for feedback to detect and reduce bias.
AI-written summary · about
chapters (7)
- 0:00Start
- 3:44You make choices overlooking facts
- 4:28You are ignorant about the unknowns
- 5:04You are easily influenced
- 7:02Face your fears
- 7:53Design a system
- 9:02Do not take things for granted
related talks
47mFantastic Biases & Where to Find Them in Software Development
46mBiases & Nonsense
31mUnderstanding Cognitive Bias Found In Judgement & Choice
01h 02mCognitive biases in software development
21mDerailing irrationality
44mThe Impact of Behavioral Biases to Real Data Science Projects
38mCognitive Bias: A reflection and path forward
26m7 deadlier sins of quality