The paradox itself arises from the idea that if you were successful, then there would be no reason to time travel in the first place. If you killed Hitler then none of his actions would trickle down through history and cause you to want to make the attempt.

Yes, the bootstrap paradox is very well framed in the story of Dark series. To say it in very simple words, Bootstrap Paradox is a theoretical pardox of time travel that takes place when an object is trapped in an infinite loop of time and hence, the object has its existence without a definite origin.

The paradox described by professor Davies considers the scenario of a billiard ball entering a wormhole such that it exits the worm-hole both ‘in the temporal past’ and also, at a location such that the billiard ball could impact, and deflect, itself preventing it from ever entering the worm hole in the first place.

5 Easy Tips to Escape a Time Loop

1. Figure out your secret goal. You might not always know how or why you’ve gotten locked into a time loop—but you can bet there’s something you must accomplish before you can escape.
2. Buddy up.
3. Explore different paths.
4. Document everything.
5. Try not to die.

Closed time-like curves Over the past few decades well-known physicists like Kip Thorne and Stephen Hawking produced seminal work on models related to time machines. The general conclusion that has emerged from previous research, including Thorne’s and Hawking’s, is that nature forbids time loops.

That’s easy because they don’t exist. Aside from the mathematical constructs that you will find in equations from general relativity, for geometries known as closed time-like curves which are essentially “time loops” there are no examples of such things in nature.

Time travel would be possible if we could create a closed space-time loop, or if we could go from one point to another through a shortcut called a “Wormhole”. This would, in any case, not be just moving from one point in time to another, but would also include moving through space.

Causal loops for their part can only occur in a universe in which one has closed time-like curves. In contrast, backward causation may take place in a world where there are no such closed time-like curves.

The term “time loop” is sometimes used to refer to a causal loop; however, causal loops are unchanging and self-originating, whereas time loops are constantly resetting: when a certain condition is met, such as a death of a character or a clock reaching a certain time, the loop starts again, possibly with one or more …

Physicists have now shown that in quantum mechanics it is possible to conceive situations in which a single event can be both, a cause and an effect of another one. If an event A is a cause of an effect B, then B cannot be a cause of A.

Causal Loop Diagrams (CLDs) are used to conceptually model dynamic systems in a holistic manner, mapping how variables (i.e., factors, issues, processes) influence one another.

Causal diagrams provide a simple graphic means of displaying such relationships, describing the assumptions made, and allowing for the identification of a set of characteristics that should be taken into account (i.e., adjusted for) in any analysis.

In the language of systems thinking, links are labeled with either an “s” or an “o.” If variable B moves in the same direction as variable A, the link from variable A to B would be labeled with an “s”(or “+”).

All positive loops with gain less than one, such as economic multipliers, are shown to be multi-loop systems with dominant negative polarity. The shifts in loop dominance that occur in nonlinear system arise naturally as changes in the sign of dominant polarity.

Positive feedback loops enhance or amplify changes; this tends to move a system away from its equilibrium state and make it more unstable. Negative feedbacks tend to dampen or buffer changes; this tends to hold a system to some equilibrium state making it more stable.

Systems thinking is a holistic approach to analysis that focuses on the way that a system’s constituent parts interrelate and how systems work over time and within the context of larger systems. According to systems thinking, system behavior results from the effects of reinforcing and balancing processes.

Systems thinking is a method to analyse the relationships between the system’s parts to understand the potential for better decision-making. The system isn’t just a collection of things, it consists of elements, interconnections and a purpose. We are all members of numerous systems and subsystems.

Systems thinking is particularly useful in addressing complex or wicked problem situations. These problems cannot be solved by any one actor, any more than a complex system can be fully understood from only one perspective.

The iceberg model is a systems thinking tool designed to help an individual or group discover the patterns of behavior, supporting structures, and mental models that underlie a particular event. Source: Adapted from The Iceberg Model by M. Goodman, 2002.

Tools for Systems Thinkers: The 6 Fundamental Concepts of Systems Thinking

• Interconnectedness. Systems thinking requires a shift in mindset, away from linear to circular.
• Synthesis. In general, synthesis refers to the combining of two or more things to create something new.
• Feedback Loops.
• Causality.
• Systems Mapping.

Systems thinking is a way of viewing an organization holistically, and being able to examine and connect the linking parts. By examining your organization systemically, you will be able to create efficient processes and avoid practices with unintended, and potentially negative, outcomes.

This theory proposes that there are just four essential systems thinking skills: making distinctions, organizing systems, recognizing relationships, and taking multiple perspectives.