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 Zeta - Dyo showcases Non Linear Causality
The Infranet serves as a vast network connecting individuals, businesses, and governments across the globe, facilitating communication, commerce, and the exchange of information.
However, what makes this timeline intriguing is the unexpected minimal changes it brings to the course of history. Despite the pervasive presence of the Infranet in people's lives, the major events and milestones of human history unfold in remarkably similar ways to the ALPHA timeline.
The Butterfly Effect is a part of Non Linearity, however it has been showcased in other timelines. Therefore, when referring to non-linearity, the timelines in question have seemingly big changes initially, but their resulting effect is minimal
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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