Evolutionary Breakdown of Biological Systems

                                                                          

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.