Marcin at 16:21, 3 May 2026

2026-05-03T16:21:15Z

← Older revision		Revision as of 16:21, 3 May 2026
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	= Truth Discernment Canon (Future Builders Academy, McGilchrist-Informed) =		= Truth Discernment Canon (Future Builders Academy, McGilchrist-Informed) =

	Informed by work of [[Ian McGilchrist]]		Informed by work of [[Ian McGilchrist]]. [[Wisdom]] comes from feedback on execution.

	* '''Principle 1: Reality First''' – Physical reality is the final authority; all models must be tested against it		* '''Principle 1: Reality First''' – Physical reality is the final authority; all models must be tested against it

Marcin at 16:18, 3 May 2026

2026-05-03T16:18:54Z

← Older revision		Revision as of 16:18, 3 May 2026
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	* '''Principle 10: Error as Data''' – Mistakes are primary inputs for learning		* '''Principle 10: Error as Data''' – Mistakes are primary inputs for learning
	** Practice: Conduct regular failure reviews without blame		** Practice: Conduct regular failure reviews without blame. Document process of failure and it's correction to extract learnings.
	** Exercise: Document top 3 errors per week and resulting design changes		** Exercise: Document top 3 errors per week and resulting design changes

Marcin at 16:16, 3 May 2026

2026-05-03T16:16:12Z

← Older revision		Revision as of 16:16, 3 May 2026
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	= Truth Discernment Canon (Future Builders Academy, McGilchrist-Informed) =		= Truth Discernment Canon (Future Builders Academy, McGilchrist-Informed) =

			Informed by work of [[Ian McGilchrist]]

	* '''Principle 1: Reality First''' – Physical reality is the final authority; all models must be tested against it		* '''Principle 1: Reality First''' – Physical reality is the final authority; all models must be tested against it

Marcin: Created page with "= Truth Discernment Canon (Future Builders Academy, McGilchrist-Informed) = * '''Principle 1: Reality First''' – Physical reality is the final authority; all models must be tested against it Practice: For every build, define measurable outputs (e.g., power, flow, strength) and verify with instruments Exercise: Compare predicted vs measured performance and document deviation * '''Principle 2: Build–Predict–Test–Update Loop''' – Knowledge comes from itera..."

2026-05-03T16:15:32Z

Created page with "= Truth Discernment Canon (Future Builders Academy, McGilchrist-Informed) = * '''Principle 1: Reality First''' – Physical reality is the final authority; all models must be tested against it ** Practice: For every build, define measurable outputs (e.g., power, flow, strength) and verify with instruments ** Exercise: Compare predicted vs measured performance and document deviation * '''Principle 2: Build–Predict–Test–Update Loop''' – Knowledge comes from itera..."

New page

= Truth Discernment Canon (Future Builders Academy, McGilchrist-Informed) =

* '''Principle 1: Reality First''' – Physical reality is the final authority; all models must be tested against it
** Practice: For every build, define measurable outputs (e.g., power, flow, strength) and verify with instruments
** Exercise: Compare predicted vs measured performance and document deviation

* '''Principle 2: Build–Predict–Test–Update Loop''' – Knowledge comes from iterative interaction with reality
** Practice: Require predictions before any build or modification
** Exercise: Maintain a prediction log and update models after testing

* '''Principle 3: Context Before Conclusion''' – Understanding requires defining the system context
** Practice: Before analysis, specify system boundaries, inputs, outputs, and constraints
** Exercise: Draw system diagrams for each project and revise after testing

* '''Principle 4: Observation vs Inference vs Assumption''' – Separate what is seen from what is interpreted
** Practice: Tag all statements in design reviews as observation, inference, or assumption
** Exercise: Audit past decisions and identify where assumptions were mistaken for facts

* '''Principle 5: Model ≠ Reality''' – Representations are approximations, not truth
** Practice: Validate all models with real-world data
** Exercise: Identify where a model fails under edge conditions

* '''Principle 6: Feedback Calibration''' – Accuracy improves through error measurement
** Practice: Track prediction error over time for key parameters
** Exercise: Calculate percent error and refine models to reduce it

* '''Principle 7: Multi-Perspective Integration''' – Truth emerges from combining viewpoints
** Practice: Analyze systems from mechanical, economic, and user perspectives
** Exercise: Reframe the same system in at least three domains and compare insights

* '''Principle 8: Translation Test''' – True understanding survives multiple representations
** Practice: Require explanation of systems in words, diagrams, equations, and physical demos
** Exercise: Peer-teach a concept using all four forms

* '''Principle 9: Disconfirmability''' – Truth must be testable and falsifiable
** Practice: Define what evidence would prove a design or claim wrong
** Exercise: Design and run a failure test for each system

* '''Principle 10: Error as Data''' – Mistakes are primary inputs for learning
** Practice: Conduct regular failure reviews without blame
** Exercise: Document top 3 errors per week and resulting design changes

* '''Principle 11: Abstraction Discipline''' – Use abstraction only when validated
** Practice: Tie every abstraction to measurable reality
** Exercise: Identify where abstraction hides critical variables

* '''Principle 12: Reality Audits''' – Prevent drift into narrative
** Practice: Weekly review of assumptions vs outcomes
** Exercise: List “what we thought” vs “what actually happened”

* '''Principle 13: Adversarial Collaboration''' – Opposing views refine truth
** Practice: Assign teams to argue different hypotheses
** Exercise: Resolve disagreement through experiment, not debate

* '''Principle 14: Embodied Knowing''' – Understanding requires direct interaction
** Practice: Rotate roles so all participants engage physically with systems
** Exercise: Hands-on replication of a system before theoretical discussion

* '''Principle 15: Attention Training''' – Quality of perception determines quality of knowing
** Practice: Begin sessions with short observation drills (e.g., detailed inspection of a component)
** Exercise: Describe a system without using labels, only direct observation

* '''Principle 16: AI as Assistant, Not Authority''' – External models must be verified
** Practice: Use AI for hypothesis generation only
** Exercise: Test at least one AI-generated idea in reality

* '''Principle 17: Epistemic Integrity''' – Updating beliefs is a strength
** Practice: Publicly revise models when new data contradicts them
** Exercise: Track instances where you changed your mind and why

* '''Principle 18: Production as Epistemology''' – Building is a method of knowing
** Practice: Treat every build as an experiment
** Exercise: Document what was learned about reality from each project

* '''Bottom Line''' – Mastery of truth discernment comes from continuous, disciplined interaction with reality through building, testing, and integrating multiple perspectives

Truth-Discernmemt Canon - Revision history

Marcin at 16:21, 3 May 2026

Marcin at 16:18, 3 May 2026

Marcin at 16:16, 3 May 2026