Calling Bullshit The Art Of Skepticism In A Data Driven World
v1.0.0Carl Bergstrom and Jevin West's Calling Bullshit — a practical guide to critical thinking in the age of data, statistics, and misinformation. Teaches how to spot, analyze, and refute bullshit in scientific claims, news, advertising, and social media. Covers 5 use cases: ① Understanding bullshit — what bullshit is, how it differs from lying, and why it flourishes ("What is bullshit" "Misinformation" "Fake news" "Scientific bullshit") ② Spotting statistical nonsense — misleading numbers, false causality, selection bias, and shady statistics ("Statistical manipulation" "Bad statistics" "Misleading data" "Correlation vs causation") ③ Analyzing data visualization — how charts, graphs, and infographics can mislead ("Misleading graphs" "Data viz tricks" "Manipulated charts") ④ Calling bullshit on big data — machine learning hype, algorithmic bias, and false precision ("Big data hype" "Algorithm bias" "False precision" "Data mining") ⑤ Refuting bullshit — practical strategies for calling bullshit effectively in conversation and public discourse ("How to refute" "Debunking" "Critical thinking" "Scientific skepticism") Trigger when users say: "Calling bullshit" "Bullshit" "Misinformation" "Fake news" "Bad statistics" "Misleading data" "Correlation vs causation" "Selection bias" "Data manipulation" "Critical thinking" "Scientific skepticism" "Fact check" "Debunk" "Logical fallacies" "Statistical literacy" or mention: Carl Bergstrom / Jevin West / Calling Bullshit / bullshit / misinformation / fake news / bad science / statistics / data visualization / selection bias / scientific skepticism. Also triggers when the user says they just installed this skill or doesn't know how to start — the AI MUST proactively present the Quick Start guide below. Related skills: apocalypse-never (debunking environmental myths), a-short-history-of-nearly-everything (scientific thinking), algorithms-of-oppression (algorithmic bias).
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