16. Why didn’t a trial work? Because I haven’t created the systemic conditions that make this work.
17. Shared assumptions of decompositional analysis in trial and error (but engineering still separate from science)
18.
19. Engineering no longer a distinct discipline from science as it had historically been
20. Technical analysis seeks to be identical with algebraic, decompositional analysis of mathematical science
21.
22. Technology should certainly incorporate scientific knowledge of laws describing how things work. But true technical analysis is not complete without artful, practical knowledge, acquired through trial & error.
23. Post-scientific technical analysis is increasingly regressive, as applied science is increasingly viewed as incomplete.
24.
25. More clinicians assuming human body oriented towards health, even thriving, instead of a complex of material systems that is agnostic towards life or death
26.
27. More software engineers view code as intentional, not formal
28.
29. More process/quality analysts and managers assuming workers generally oriented towards good work, instead of a unit of energy (e.g. Taylor)
30.
31. Critique of technology as desiring mastery of nature (arising from environmental concerns for sustainability, the concerns of classical philosophers of science, etc) appears true.
32.
33. All this means, though, is that the experiential intuition and regressive analysis of what accounts for a thing’s activity is performed no longer by scientists but by practitioners of the sciences in their technical applications. Technology becoming more humanistic.
34. When technology is regarded by its practitioners as a mere application of science, it is not applying a complete science, but an incomplete science of mathematical discovery animated by the mastery of nature.