Workbook for Volume 1 - Part IV – Epilogue (3 of 3) as a GPT Prompt
For new readers:
Please read the “Pinned Post” at the top of this Substack’s Home Page, titled Why Use Public Peer-Review to Write a Book? - “See for Yourself”.
For returning readers and subscribers:
This post provides a comment on the third page of the Epilogue: Volume 1 - Part IV – Epilogue (3 of 3), posted on Substack yesterday.
A reader suggested using yesterday’s post as a prompt in a Large Language Model.
Here is what GPT-3.5 returned as a response:
ChatGPT
It seems like you've outlined a systematic approach to critical thinking and decision-making, emphasizing the importance of questioning assumptions, evaluating evidence, and considering alternative perspectives. Here's a breakdown of the steps you've outlined:
1. Understand Your Operational "Model of Self"
This step involves self-awareness and recognizing your own biases and assumptions. It's about being mindful of how your thinking is influenced by metaphors, methods, and methodologies.
2. Two-in-One-Mind Thinking
This concept suggests that media filters can introduce bias into predictions. By adopting a two-in-one-mind approach, you aim to identify and mitigate these biases when consuming information.
3. Avoid Arguments from Authority and Popularity
This involves being cautious of arguments that rely solely on the authority of the source or appeal to popularity. Instead, focus on evidence-based reasoning and avoid dramatic presentations or attempts to stifle questioning.
4. Examine Arguments from Methodologies
This step emphasizes assessing the strength of evidence behind arguments, ranging from expert opinion to randomized controlled trials, with increasing levels of rigor.
5. Inventory the "Tools, Checklists & Processes"
Here, you're encouraged to select decision-making tools, checklists, or heuristic processes that are appropriate for your specific task environment, recognizing the balance between skill and luck.
6. Document the "Axioms, Assumptions & Hypotheses"
This step involves recognizing the underlying assumptions and hypotheses in models, distinguishing between tautological deductions and falsifiable inductions.
7. Catalog Empirical "Puzzles, Paradoxes & Anomalies"
You're advised to identify and understand inconsistencies or unexpected outcomes that arise from model predictions and consider the role of ecological rationality.
8. Recognize Consequences of "Willful Ignorance, Error & Deceit"
This step emphasizes seeking the truth behind stories, protecting your locus of control, and avoiding sources of negativity or misinformation.
9. Define the "Box" and Look for Alternatives
It involves acknowledging that your knowledge and understanding are limited and encouraging open-mindedness to explore alternative viewpoints.
10. Reiterate Steps 1-4 for Alternative Models
You're encouraged to apply the same critical thinking process to alternative models, perspectives, and points of view.
11. Decide When to Trust, Ask for Proof, or Verify
This step focuses on making decisions about whether to trust a recommendation, ask for more evidence, or independently verify results.
12. Execute a "Motion" Based on a Prediction
Once you've assessed the evidence and made a decision, take action based on your prediction.
13. Monitor Impacts and Loop Back
Continuously monitor the effects of your decisions in your task environment and be prepared to adjust your approach based on feedback and new information.
This framework appears to be a comprehensive and systematic way to approach complex decision-making and critical thinking. It emphasizes the importance of evidence, self-awareness, and adaptability in making informed choices.
What do you think of this response and summary?
”CTRI by Francois Gadenne” writes a business book in three volumes, published serially on Substack for public peer-review. The book connects the dots of life-enhancing practices for the next generation, free of controlling algorithms, based on the lifetime experience of a retirement age entrepreneur, & continuously updated with insights from reading Wealth, Health, & Statistics research papers on behalf of large companies as the co-founder of CTRI.