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by azinman2
1559 days ago
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Initial thoughts: At the end of your intro video you ask the viewer to imagine what could be possible with such a system. But that’s putting the onus on the viewer, who has likely never thought about such a system, rather than the creator who is selling the vision. I’d encourage you to give some concrete examples on what could really be achieved here. When everything is related to everything, it’s hard to get anything actionable out of such a model. Further qualifying the edges should also matter a lot… is something correlated? Causal? Indirectly related? How far does the causality propagate? For example, could changing the formula for toothpaste affect obesity? I’d imagine it would be easy to draw a graph connecting these things, but it’s probably difficult to know if a causal change is likely to produce the desired result. This reminds me a lot of cybernetics, which ultimately failed. I’m be curious for your thoughts on that field and it’s relationship to your endeavor. |
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Relationships on System carry several parameters that address your question. For example, in what population was this measured/what time period, a normalized measure of the statistical strength, statistical significance, the direction of the relationship when possible, the sign of the relationship, and a measure of the reproducibility of the evidence. You can read more in our docs: https://docs.system.com/system/how-system-works/relationship.... Our aim is to synthesize (or meta-analyze) all of this evidence and associated metadata in such a way that helps users take actions. An open causal model of the world, to use Pearl's framing.
Love the question re cybernetics. I am inspired by the writing of Mary Catherine Bateson on the matter. She has argued that the tragedy of the cybernetic revolution, which had two phases, the computer science side and the systems theory side, has been the neglect of the systems theory side of it. We chose marketable gadgets, she says, in preference to a deeper understanding of the world we live in.