An observational study suggests a strong analogy between humans and
robots when individuals in chaotic environments are impacted on their life
paths by entangled algorithmic patterns that extend significantly beyond the
Subconscious Component. Pre-programmed codes within the Subconscious Component
continuously and automatically shape decision-making maps, avoiding the Logical
Data processed by the Conscious Component. This phenomenon occurs because of the
Survival Instinct, often called the Network of Competitive Instincts for
Closed-loop conditions. In such environments, multiple starving instinct
processes occur within the domain of old open-loop cycles, depriving and
involving a large population of instincts tapping into instincts needed to resolve
and entrenching complex old Open-loop cycles. Therefore, the complicated cycle
of instincts restricts the Conscious Component's ability to access and utilize
encapsulated logical data for decision-making.
In contrast, those in peaceful, stable environments are more likely
to engage in algorithmic patterns that surpass the Conscious Component,
enabling optimal decision-making in social contexts. However, within the
Subconscious Component, basic instincts tied to survival immensely influence
Closed-loop conditions. These primal instincts are deeply ingrained and
automatically trigger essential habitual responses in the physical body,
especially during open-loop cycles. When these cycles, such as eating,
drinking, sleeping, and sexual activity, are activated. They can reinforce the
decisive, ego-driven framework. During these moments, the Conscious Component's
ability to guide decisions weakens, making it less compatible with evolving
decision-making models. The program codes rooted in these basic instincts function
without conscious thought or learning, triggering automatic responses regularly
to meet the physical body's needs.
Observation:
Individuals who struggle with low concentration
and irrational thinking in stressful environments may find it challenging to consistently
make well-informed decisions based on facts. As a result, the quality of their choices diminishes, leading to
gloomy consequences that obstruct and delay progress in human development.
Observation:
In highly aggressive
environments, humans who rely on automated behavior from algorithmic codes
beyond the Subconscious Component to monitor and navigate their surroundings
can become blind to critical information, such as their health, relationships,
concrete facts, and various real-life scenarios.
Observation:
The research and case
studies concentrate on how the Subconscious mind influences decision-making.
The study also examines instances in which algorithmic codes impact decisions,
potentially altering the evolutionary trajectory of human life. Analyzing and
defining the abstract characteristics of the Subconscious mind through academic
models surpasses human comprehension of ethnographic contexts and intuitive
reflections.
Observation:
An observational study suggests that social anxiety disorder, often rooted in traumatic personal experiences, stems from decision-making patterns driven by algorithmic codes that bypass the Subconscious Component. In unpredictable and stressful life circumstances, the Subconscious Component, or "autopilot decision-making mode," takes over decisions, while the Conscious Component, which promotes logical decisions, is inhibited from establishing choices. Consequently, individuals and influential decision-makers create unintentionally aggressive, unfavorable decision patterns, embedding these behaviors into social environments. This cycle reinforces harmful social dynamics, delivering an adverse feedback loop that impacts humanity and collective well-being on a broader evolutionary path.
People who strive to make accountable choices by engaging their Subconscious
Component must be alert to a time-sensitive situation, avoid potential pitfalls
and tragic events, and enhance their ability to act consistently and reliably.
These critical circumstances imply that individuals often put in significant
effort to confront and overcome challenging situations within their dreams when
unintentionally exploring algorithmic codes that extend beyond the Subconscious
Component.
The functional mechanisms of the Conscious Component draw
substantial energy, creating high-frequency vibrations required for
decision-making, which can tire the physical body and require replenishment
through energy-rich foods to compensate for the energy expended. Humans
generally rely on the Subconscious Component for daily tasks, as it operates
efficiently and automatically without the tension associated with conscious
processing forces.
Observation:
An intensely resilient Ego
Framework, combined with a large set of highly aggressive instincts, can
trigger demonic traits in human decision-making processes and destructive
tendencies on the broader evolutionary path of life. Activating a robust
infrastructure Network of Competitive Instincts, fueled by a persuasive and
assertive Ego Structure with the domain of old open-loop cycles of Survival Instinct,
has the potential to drive humanity toward self-destruction. In contrast, a
Superego Framework rooted in resilience and guided by cheerful, friendly instincts
can foster angelic qualities in the decision-making map. The consistent
practice of unconditional love and passion can reinforce and reshape the structure
codes behind decision-making patterns, such as an algorithm model of compassion
and an outstanding ethical framework.
Based on observational experiences, this study predicts that
intense global competition reshapes the Network of Competitive Instincts
through a dynamic Ego Framework, triggering the recurrence of the domain of old
open-loop cycles of the Survival Instinct within the Subconscious Component of
Systems Owners. As a result, possessive and malicious codes may infiltrate the
Decision-Making Map, circulating among aggressive Systems Owners.
The Blackbox testing method analyzes encapsulated algorithmic codes
of system owners' Conscious and Subconscious Components. In this study, the
Blackbox represents the Conscious Component of influential decision-makers. By
examining the algorithmic patterns of the box's output, it is possible to
identify how code complexity is distributed across decision-making processes, Social
Contexts, and the evolutionary path of human life.
Observation:
The academic community often needs help studying
paranormal episodes using traditional models and methods because these
phenomena lie beyond the scope of established academic theories. Conventional
scientific concepts cannot adequately explain paranormal events' underlying
principles or algorithmic codes. New theoretical models for paranormal
hypotheses are needed to investigate and uncover abnormal patterns. Scientific
reasoning is ineffective when attempting to understand and resolve abstract or
abnormal occurrences.
Observation:
The author highlights the significance of
ethnographic research, which reveals unexpected phenomena shaped by global variables
and brings attention to neglected social issues. However, System Owners often
hesitate to support such research because it does not directly contribute to
financial gain or cost recovery. These studies demand significant time and
effort for data collection, making them expensive. Moreover, the outcomes can
be contentious, frequently challenging the global variables that drive system
platforms' operations.
System Owners are more inclined to approve
research projects with short timelines focused on marketing, as these
contribute to rapid commercialization, business promotion, and safeguarding proprietary
information. In such cases, they provide funding, assets, and various
resources. Consequently, ethnographic research is generally impractical and unaffordable
for System Owners, who prioritize short-term profits and prefer to maintain distinct
control over project concepts within their platforms. On the other hand,
ethnographic studies are ideal for independent private researchers who seek
reliable insights to benefit communities and enterprises.
Observation:
Readers can explore and interpret these case studies of unexplained
phenomena, allowing them to draw conclusions guided by a sense of justice.
Additionally, Systems Owners must ensure that life on Earth becomes more
sustainable and accountable by adhering to the following principles.
1-Love is what truly matters in life.
2-Focusing on material possessions
misses the more profound meaning.
3-Cooperation holds more value than
competition.
4-Pursuing knowledge is vital, as humans
can carry it across the universe.
Observation:
External forces influence, inspire, and continually shape
algorithmic codes and the factors that affect case studies and this research’s
hypothesis. The mystery of the hidden universe and the essence of humanity
drive a passionate pursuit of the core values of the Enlightenment. This true
path can be uncovered by understanding the righteous way of life and exploring
algorithmic codes illuminating life’s course amid darkness, chaos, and the
underworld.
Observation:
This research is dedicated to the Supervisor of the Realm of Global
Consciousness, as the Designer of Biological Systems comprehensively understands
the case study. He can identify, determine, and assess common pitfalls in data accuracy
crucial to this project over the past 25 years. 
