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Note for Asking the Right Questions A Guide to Critical Thinking

1. Intro

Learn the book Asking the Right Questions: A Guide to Critical Thinking by Neil Browne.

I would use ChatGPT to assist my reading. All the info is generated from ChatGPT, I would ask more detailed question to ChatGPT and examine the answer quality

2. Outline

ChatGPT first gives the outline of the book and summarize each chapter

2.1. Base

  1. Importance of critical thinking and questioning process

From unknown to known, using current knowledge to get a better answer

  1. Issue and Conclusion, important step, make the problem more clear

Issue: the central problem

Conclusion: assertion being made about the issue

  1. Reasons: evidence and facts

Important to evaluate

  • Relevance
  • Sufficiency
  • Accuracy
  1. Assumption: belief, values and attitude
  • often unstated / implicit
  • casue different conclusion
  • We should try to know the assumption made by author
  1. Fallacies: common errors that weaken the argument
  • ad nominem: attack person
  • Apeal to authority
  • False dilemma: e.g. only show limited options
  • Hasty generalization: based on insufficient evidence
  • Slippery slope: argue action would lead to negative consequences without providing evidence
  • Straw man: misrepresenting to make it easier to attack

2.2. Tips

  1. How good is evidence: how to evaluate the quality of evidence
  2. Source credibility
  3. Relevance
  4. Sufficiency
  5. Timelines
  6. Consistency
  7. Use of qualifiers
  8. Alternative intrerpolation: considering alternative interpretations
  9. Implications
  10. How to resolve the conflicts
  11. Further

3. Takeaway

From this books’ perspective

  • Issue and conclusion should be made by human

  • ChatGPT can/can’t provide

  • Highly relevant knowledge: better than google

  • Medium sufficiency knowledge: less than google

  • LACK OF: accuracy(no source provided) timelines (when is source made), consistency (maybe try multiple times),

  • Common fallacies ChatGPT may occur

  • False dilemma: only show limited options

  • Hasty generalization: make conclusion based on insufficient evidence