Levels of complexity thinking:
0) Using statistical / calculus assumptions*
1) Recognizing stat/calc assumptions are often wrong! See: Dependencies, Extreme events, Nonlinearity, High dimensionality, Indirect effects, Unintended consequences, … 1/
0) Using statistical / calculus assumptions*
1) Recognizing stat/calc assumptions are often wrong! See: Dependencies, Extreme events, Nonlinearity, High dimensionality, Indirect effects, Unintended consequences, … 1/
2) Using a different set of assumptions: Network, Agents, Fat tails, … (People generally choose one: I.e. hammer looking for nail).* 2/
3) Recognizing all assumptions are sometimes valid (universality classes). Identify the right assumptions for this situation using Patterns, Possibilities, Multiscale analyses. 3/
4) Constructing an understanding from multiple frames/tools (like constructing a building out of multiple tools). 4/
5) Society and science, math and people, in frame.
Note: *[Self-consistent thinking using assumptions that are only sometimes true and easily mis-applied]
Note: *[Self-consistent thinking using assumptions that are only sometimes true and easily mis-applied]
• • •
Missing some Tweet in this thread? You can try to
force a refresh
