If You're Curious About These Questions...
You should listen to this audiobook
- Have you ever wondered why even the most "scientific" charts and data visualizations can be used to trick you without technically telling a single lie?
- What if you could develop a personal "bullshit detector" sharp enough to see through the complex algorithms and fancy statistics often used to manipulate public opinion?
- Did you know that it takes exponentially more energy to debunk misinformation than it does to create it—and are you curious about the secret to stopping it in its tracks?
Listen to Calling Bullshit — Free Audiobook
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Key Takeaways from Calling Bullshit
- Uncover how identifying everyday 'bullshit' protects your worldview and prevents manipulated information from improperly influencing your choices.
- Understand the deceptive art of 'paltering,' where individuals use technically true but out-of-context statements to purposefully mislead you while maintaining plausible deniability.
- Discover Brandolini's Principle, which explains why the effort required to debunk false information is significantly greater than the effort it takes to simply invent it.
- Learn how social media algorithms and the media's race to publish first fuel dangerous confirmation biases and the rapid, unchecked spread of fake news.
- Recognize why our deep-seated trust in numbers leaves us vulnerable to deception, and find out how easily statistics, data, and charts can be manipulated to skew reality.
Learning Tools
Reinforce what you learned from Calling Bullshit
Mind Map
Calling Bullshit
Defining Bullshit
Core Motive
Primary Tools
Modern Crisis
The Danger
Data & Algorithms
Black Boxes
Flawed Inputs
AI Blindspots
Misleading Graphics
Statistical Traps
Correlation vs. Causation
Media Distortion
Number Manipulation
Percentage Tricks
Selection Bias
Unrepresentative Samples
Data Filtering
Self-Selection
Data Censoring
Scientific Imperfections
Publication Bias
P-hacking
Goodhart's Law
Journal Credibility
Defense Mechanisms
Journalist's Rule
Fermi Estimations
Confirmation Bias
Calling It Out
Quiz — Test Your Understanding
Question 1 of 7
According to the authors, what is the defining characteristic of a 'bullshitter'?
Calling Bullshit — Full Chapter Overview
Chapter 1: 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.
Calling Bullshit Summary & Overview
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 to Calling Bullshit?
- Popular science fans who want to see behind the curtain
- Data nerds who want to learn more
- Concerned citizens eager to fight misinformation
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