Biological Systems can generate chaos and
unpredictable outcomes in Non-Biological Systems due to evolutionary breakdowns
caused by the instability of global variables. Systems Owners often fail to
adequately test modifications to these global variables in Biological Systems
as they evolve. Psychological factors further complicate the behavior of Biological
Systems within social contexts, making the consequences of these breakdowns
even harder to predict.
The chaos arising from Biological Systems often
spills into Non-Biological Systems, primarily due to weaknesses in their global
variables. Systems Owners frequently overlook equity-based approaches and fail
to maintain social consistency. When incidents occur, public attention can be driven
by the media. Then, experts focus on dramatic and chaotic scenarios, concentrating
little on the underlying causes of system breakdowns. These causes are rarely
investigated in-depth, often due to professional confidentiality, high
investigation costs, and system accountability restrictions. As a result, media
reports provide only a superficial view of the problem, reflecting public
concern on a broad societal level (level 8).
Meanwhile, experts may analyze the breakdown and
uncertainty of fuzzy data (level 4). However, critical risk assessments (levels
3 and 2) remain undisclosed due to failure of system responsibility and secrecy
issues. The primary source of problems is allocated instances of algorithmic
codes beyond global variables.
The breakdown patterns in Biological Systems
often remain unresolved within the larger operational framework, allowing
similar crises and chaotic patterns to recur. System controllers may attempt to
fix these issues by repeating the same processes, but this approach fails to
address the underlying complexities. The critical parameters of global
variables are not correctly analyzed, leading to suboptimization, which may
temporarily reduce costs and increase profits in the bureaucratical systems.
Therefore, it often results in the unethical elimination of essential
components from the system, either temporarily or permanently.
Some parameters tied to level 3 are deeply
connected to global variables, but modifying them can conflict with
confidential algorithms. As a result, experts may hesitate to investigate these
complex issues thoroughly. Ultimately, many of the core problems within Biological
Systems remain unsolved, perpetuating operational failures across various
system platforms.
