🤥 How To Lie With Statistics

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Darrell Huff - How to Lie with Statistics

Sampling Bias

Deceiving Averages

Incomplete Data

Insignificant Differences

Misleading Graphs

Distorted Comparisons

Mistaking Correlation for Causation

Manipulating Data

Interrogating Statistics When faced with data, ask:

  1. Who's providing it? Check for biases and potential conflicts of interest.
  2. How was it gathered? Look for potential sampling issues or biases.
  3. What's not being shown? Omissions can lead to false conclusions.
  4. Has the topic shifted? Ensure conclusions align with the presented data.

Remember: Data doesn't lie, but interpretations might. Stay critical and informed.

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