Sequential vs Parallel

This image illustrates a crucial difference in predictability between single-factor and multi-factor systems.

In the Sequential (Serial) model:

  • Each step (A→B→C→D) proceeds independently without external influences.
  • All causal relationships are clearly defined by “100% accurate rules.”
  • Ideally, with no other associations, each step can perfectly predict the next.
  • The result is deterministic (100%) with no uncertainty.
  • However, such single-factor models only truly exist in human-made abstractions or simple numerical calculations.

In contrast, the Parallel model shows:

  • Multiple factors (a, b, c, d) exist simultaneously and influence each other in complex ways.
  • The system may not include all possible factors.
  • “Not all conditions apply” – certain influences may not manifest in particular situations.
  • “Difficult to make all influences into one rule” – complex interactions cannot be simplified into a single rule.
  • Thus, the result becomes probabilistic, making precise predictions impossible.
  • All phenomena in the real world closely resemble this parallel model.

In our actual world, purely single-factor systems rarely exist. Even seemingly simple phenomena consist of interactions between various elements. Weather, economics, ecosystems, human health, social phenomena – all real systems comprise numerous variables and their complex interrelationships. This is why real-world phenomena exhibit probabilistic characteristics, which is not merely due to our lack of knowledge but an inherent property of complex systems.

With Claude

Influence

From Claude with some prompting
This image illustrates the process of achieving an exponential expectation or goal for a particular endeavor.

  1. The “Expectation” graph shows an exponential rise, representing the ambitious target or desired outcome for the endeavor.
  2. To reach this expectation, one must first go through the “Basic” stage of steadily growing and developing individually, step by step.
  3. Then, in the “with people” stage, one needs to expand their influence by collaborating and interacting with others, leveraging interpersonal relationships.
  4. The “To-Do” graph depicts the accumulation of basic tasks and responsibilities in the individual growth stage.
  5. Ultimately, the exponential expectation can only be achieved through a combination of consistent personal growth at the basic level, coupled with an expansion of influence via relationships and interactions with others.

In summary, the image emphasizes that to attain ambitious, exponential goals, consistent individual effort must be complemented by leveraging a broad network of interpersonal connections to amplify one’s influence and impact.