Presentations
Danilo Lessa Bernardineli (BlockScience), May 2023
"Causality (also called causation, or cause and effect) is influence by which one event, process, state, or object (a cause) contributes to the production of another event, process, state, or object (an effect)" [1]
3 levels on the ladder of causality reasoning:
Statistical methods answers L1 type of questions, with some progress on L2 questions. L3 is on the human expert domain.
Causal methods provides an form to reason, model and test L2 and L3 questions and to avoid bias on L1 ones.
Governance and decision-making questions tends to deal with L3 and L2 questions.
Reference: [4]
Filecoin's economy CLD [3]
The Societal Costs and Benefits of Commuter Bicycling: Simulating the Effects of Specific Policies Using System Dynamics Modeling [2]
Legacy cadCAD SUBs can be understood as an imposed base structure on top of an Causal Loop Diagram.
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[1] - https://en.wikipedia.org/wiki/Causality
[2] - Macmillan, Alexandra & Connor, Jennie & Witten, Karen & Kearns, Robin & Rees, David & Woodward, Alistair. (2014). The Societal Costs and Benefits of Commuter Bicycling: Simulating the Effects of Specific Policies Using System Dynamics Modeling. Environmental health perspectives. 122. 10.1289/ehp.1307250.
[3] - Danilo Lessa Bernardineli Michael Zargham and Jamsheed Shorish (2023). Reviewing the FIP-0056 and CDM Debate on Filecoin. Retrieved at 17 May 2023 at https://medium.com/block-science/reviewing-the-fip-0056-and-cdm-debate-on-filecoin-6a6af0ed4b78.
[4] - Reference: Pearl, J & Mackenzie, D. The Book of Why
[5] - Facure, M. Causal Inference for the Brave and True. Retrieved at 17 May 2023 at https://matheusfacure.github.io/python-causality-handbook/landing-page.html