Here's a post refactoring causal layered analysis with systems lens. By linking the four layers through a #systems lens, we have a better idea of the systems intervention that we might need.
Myths and metaphors lead to worldviews through framing and planning assumptions. Deep stories are the base for which we view the world.
Could those planning assumptions be changed?
Worldviews get translated to causes, through policies and strategies. Could those strategies be tweaked?
Policies and strategies get implemented, forming the reality of the world. Could those implementations procedures shift? or reframed?
The outcomes from implementations, or the messages from those implementations can end up reinforcing the deep stories that we have. Can the messages shift as well?
It comes a competition between two prevailing myths/stories, worldviews, strategies, implementations. Activists and advocates have to figure out how to work themselves into these systems and shift CLA paradigms.
Causal Layered Analysis - like 5 Whys, but also more specific than that - it's an attempt to get at the deep stories that we walk around the world with and don't realise. I look at how Causal Layered Analysis might be use for adaptation and advocacy. medium.com/open-source-fu…
The quick intro to causal layered analysis (CLA) - has got four layers:
- litany
- causes and structures
- worldviews
- metaphors
Litany is the world as it is today. The issues, concerns, the complaints. The surface issues.
#Migration flows as an civilisational issue.
Five things:
- #community_identity
- sudden infrastructure provision
- terms of movement
- resource provision
- economic absorption. #Ageing will also be another issue influencing how and where people move.
Wishful thinking 1: "end of history" is here. Liberal Democracy is here. Everyone will converge there. Wrong. An open, free society needs to be actively defended, not taken for granted.
Wishful thinking 2: Liberal Democracy is Compatible with Anti-Regulatory Short-Term-istic Capitalism - no, its not. We created societies with "races to bottoms" - traded deep thinking for shallows, unable to invest in long-term.