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Core Concepts for Navigating Complexity




Symmathesy


Nora Bateson


living systems are learning systems


A system results from relationships. If not enough relational data not a robust enough system. Warm data.




Are we creating support structures, such as AI that allow for learning?


For example, DAO innovations are focused on fixed code. How to evolve into living contracts?




Antifragile

Hydra FTW


Indoor plants need wind. Otherwise their stalks can be weak and gangly. If you start seeds indoors, blow on them…perturb them.


Striving for a way to “build back better”


Symmathesy: learn from disorder and perturbation


Feedback and feed forward


Spectrums


Beyond Dualism


false certainty


no box thinking




Dimensions and gradients of possibilityaxis: X, Y, Z….


Carrying Capacity


A spectrum with thresholds





Covid CC


ICU


hospital beds







Humanity’s Carrying Capacity


Doughnut Economics


Humans


Environment






Inverse and Shadows



Inverse


Super exciting growth chart hides the consumption of resource and personnel


Externalities and other ways of manipulating statistics to make invisible what is declining to support the growth chart




Shadow and other shady things


This also shows up in human behavior. Anything that seems like an admirable characteristic may cover over, hide, or justify shady elements.




Inquiry
What other core concepts do you notice supporting the ability to steer within complexity?
What is carrying capacity good for and what might it miss (see inverse)? How will we get adequate data for it?
How do we sense thrivabilty in a course correcting learning environment striving to be antifragile? Something that seems horrible in one moment turns into a necessary perturbation in hindsight.