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Chapter Overview
Chapter 1: AudiobookHub Recommendation
Chapter 2: We all must stay alert to the dangers of bullshit.
Chapter 3: Bullshitters aim to convince people something is true, without really caring about the evidence.
Chapter 4: Correlation does not necessarily imply causation.
Chapter 5: It’s disturbingly simple to make numbers say anything you want them to.
Chapter 6: When the data you rely on for a test isn’t neutral, the findings will show selection bias.
Chapter 7: Don’t be dazzled by big data or machine learning – the underlying data still has to be sound.
Chapter 8: The flaws of modern science ensure that bullshit seeps in everywhere.
Chapter 9: With a few simple techniques, you can arm yourself in the fight against bullshit.
Description
Calling Bullshit (2020) is a guide to navigating the huge amounts of bullshit that surround us. By being alert to the ways in which data and scientific processes get manipulated, we can learn to call out bullshit when we see it.
Who Should Listen
- Popular science fans who want to see behind the curtain
- Data nerds who want to learn more
- Concerned citizens eager to fight misinformation