Hacker News with Generative AI: Causality

A short introduction to Interval Tree Clocks (2017) (separateconcerns.com)
One of the things I work on at Lima is master-master filesystem replication. In this kind of system, we need to track causality. In a nutshell, given two events modifying a given piece of data and originating from different nodes in the system, we want to know if one of those events could have influenced the other one, or in other words if one of those events “happened before” the other one.
Revealing causal links in complex systems: New algorithm shows hidden influences (techxplore.com)
Getting to the heart of causality is central to understanding the world around us. What causes one variable—be it a biological species, a voting region, a company stock, or a local climate—to shift from one state to another can inform how we might shape that variable in the future.
Revealing causal links in complex systems (news.mit.edu)
Getting to the heart of causality is central to understanding the world around us. What causes one variable — be it a biological species, a voting region, a company stock, or a local climate — to shift from one state to another can inform how we might shape that variable in the future.
Dispelling Myths about Randomisation (bps.org.uk)
When we are interested in cause and effect relationships (which is much of the time!) we have two options: We can simply observe the world to identify associations between X and Y, or we can randomise people to different levels of X and then measure Y.
When is causal broadcast not enough for causal memory? (decomposition.al)
While getting ready to teach my grad distributed systems course this fall, I found myself once again flipping through Cheriton and Skeen’s rather scathing 1993 article “Understanding the limitations of causally and totally ordered communication”.1 One of Cheriton and Skeen’s complaints about causally ordered communication is that it does not enforce the ordering constraints that they care about. They write:
Causality, Interaction, and Complexity (alexahn.com)