When Numbers Fail: The Dark Side of Data

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The document discusses the challenges of using numbers and data alone to make decisions, referencing Arrow's Impossibility Theorem and examples like the COMPAS algorithm. It notes that decisions often involve more than just data and measurements. The document advocates learning the domain of the problem, focusing on the decisions being made, and staying informed rather than relying solely on numbers and models.

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NOW YOU KNOW | BRANDWATCH.COM #NYKCON
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When Numbers Fail
Paul Siegel, Data Scientist

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The Challenge

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Elimination Round-robin

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Arrow’s Impossibility Theorem

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The truth can’t be measured by numbers
Lessons
Decisions are more than data

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The Stakes

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The COMPAS Algorithm

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The Solution

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Reverend Thomas Bayes
Fair coin?

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Claude Shannon

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Forward

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For me:
Learn your domain
Focus on decisions
Homework
For you:
Own your expertise
Stay Informed

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Now You Know

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When Numbers Fail: The Dark Side of Data

1. NOW YOU KNOW | BRANDWATCH.COM #NYKCON F When Numbers Fail Paul Siegel, Data Scientist

2. #NYKCON F The Challenge

3. #NYKCON F ?? ?

4. #NYKCON F 40 % 35 % 25 %

5. #NYKCON F 40 % 35 % 25 %

6. #NYKCON F Pluralit y 40 % 35 % 25 % Elimination Round-robin

7. #NYKCON F Arrow’s Impossibility Theorem

8. #NYKCON F 40 % 35 % 25 %

9. #NYKCON F The truth can’t be measured by numbers Lessons Decisions are more than data

10. #NYKCON F The Stakes

11. #NYKCON F The COMPAS Algorithm

14. #NYKCON F The Solution

16. #NYKCON F Reverend Thomas Bayes Fair coin?

18. #NYKCON F Claude Shannon

23. #NYKCON F Forward

24. #NYKCON F For me: Learn your domain Focus on decisions Homework For you: Own your expertise Stay Informed

26. #NYKCON F Now You Know