Non Linear Causality
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What is Non Linear Causality?
Non-linear causality, posits that situations where the relationship between cause and effect isn't straightforward or predictable. In linear causality, you'd expect that if you do A, then B will happen.
But in non-linear causality, the relationship is more complex, and small changes in one part of a system can lead to big, unexpected effects elsewhere. Or, inversely, a seemingly big action has a small effect n the future
Imagine it like a domino effect, but instead of falling in a straight line, the dominoes might zigzag, skip, or even loop back around, making it harder to predict what will happen next.
If come of this sounds familiar, it is because the Butterfly Effect falls squarely under non-linear Causality. Since that has already been covered, the events under the term ‘Non-linear causality’ refer to seemingly large changes that have minimal effects
Example
Let's say you have a daily routine of stopping for coffee on your way to work, and this habit often makes you arrive late due to the time spent at the coffee shop.
One day, you decide to break this routine and skip the coffee stop, hoping to arrive at work on time. However, despite not stopping for coffee, you still encounter delays on the road, albeit not as severe as usual.
Factors such as traffic conditions contribute to your late arrival, demonstrating that while the decision to skip coffee may have mitigated some delay, non-linear effects like traffic variability can still impact your commute.
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How Gamma-Dyo showcases Hidden Variables
As is probably very obvious, poor Sophie did not make much difference at all. This timeline was meant to be an ‘anti-butterfly effect’. Due to non-linear causality being showcased as the Butterfly Effect, a concept some timelines are based on, this timeline was meant to have the opposite effect. It was done to emphasize how non-linearity can go the opposite way
While Sophies survival seems quite big and relevant, in reality it had little affect on the timeline. This timeline was chosen to showcase this as it is the general consensus that Sophies survival, independent from the Archduke, would not lead to much changes.
This is the most boring timeline. There are no others like this. Even the other one that runs on non-linearity has bigger changes than this. You will not witness this much lack of change again
Conclusion
Non-linear causality refers to situations where the relationship between cause and effect is complex and unpredictable, with small changes leading to disproportionate or unexpected outcomes
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