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The 25th National \"Safety Production Month\" in 2026: Everyone talks about safety, and everyone knows how to handle emergencies; identifying and addressing risks and hazards -------------------------------------------------- The knowledge curse: The most hidden systematic risk factor in chemical engineering design. Abstract: Chemical engineering design is a crucial preliminary step in project construction and safe operation. The thoroughness of process package verification, as well as the quality of interdisciplinary collaborative design and technology transfer, directly determine the safety level, investment efficiency, and compliance of a project. Current industry risk management focuses on obvious hazards such as high temperature and pressure, flammability and explosiveness, and equipment failure, while neglecting the hidden systematic risks arising from cognitive biases over the long term. As a typical psychological cognitive bias, the knowledge curse is widespread throughout the entire process of chemical engineering design. It serves as a key underlying cause of inadequate process package adaptation, design errors and omissions, conflicts at professional interfaces, engineering rework, and safety hazards. Based on cognitive psychology theory, this paper defines the specific meaning of the \"knowledge curse\" in the field of chemical engineering design, compares it with the essential differences in cognitive biases present in other industries, and reveals the three-stage risk transmission mechanism of \"cognitive omission – professional misalignment – entrenchment of hidden dangers\". Based on practical engineering scenarios, this paper systematically analyzes the typical manifestations of the knowledge curse in cross-disciplinary collaboration, design document preparation, design decision-making, and technical knowledge transfer, and examines its systematic negative impacts on design quality, project schedule, economic efficiency, and team development. A practical closed-loop prevention and control system is established from six dimensions: mindset reshaping, interface management, file standardization, review optimization, externalization of experience, and team culture. Keywords Chemical engineering design ; Curse of knowledge ; Cognitive bias ; Process package unpacking ; Systemic risk ; Risk prevention and control ; Technology Transfer I. Introduction: Process industries such as chemicals, petrochemicals, and pharmaceuticals are characterized by high-risk operating conditions, complex processes, and strong interdependencies among various specialties. Once such facilities are built, they cannot be reversed, making the quality of engineering design crucial for ensuring the intrinsic safety of these facilities, controlling investment costs, and guaranteeing their stable operation over extended periods of time. Currently, risk prevention and control in this industry relies on national and industry standards, HAZOP analysis, safety reviews, and drawing verification, focusing on identifying obvious issues such as processes, equipment, and operating conditions; yet it has long ignored the hidden risks at the level of design thinking – namely the knowledge curse. According to industry statistics, over 80% of design changes and engineering defects in chemical engineering projects are not caused by illegal operations or obvious design mistakes, but rather by cognitive biases among designers and deficiencies in information transmission. The knowledge curse was confirmed in 1990 by Elizabeth Newton, a psychologist at Stanford University, through the \"knocking experiment.\" The core phenomenon it describes is that once a person acquires certain knowledge, they can no longer think from the perspective of those who are ignorant, which makes knowledge sharing and communication extremely difficult. The core issue is that once practitioners master the specialized technical skills, they lose the ability to put themselves in others’ shoes; they assume that all parties involved have the same level of understanding, and unconsciously overlook hidden operating conditions, potential risks, and design logic, which ultimately leads to gaps in information transmission. In ordinary industries, the knowledge curse only causes soft, reversible problems such as inefficient communication and misinterpretations. However, the chemical engineering design industry is characterized by strict regulatory constraints, high-risk operating conditions, lengthy coordination processes, and irreversible engineering changes; this cognitive bias can escalate into systemic risks that may lead to safety accidents, cost overruns, and compliance-related consequences, affecting the entire process from the development and breakdown of process packages, through engineering design, technical briefings, knowledge transfer within teams, to communication between clients and contractors. Based on this, this paper integrates cognitive psychology with practical chemical engineering practices to systematically explain the industry characteristics, transmission mechanisms, typical manifestations, and core hazards of the knowledge curse. It establishes a closed-loop prevention and control system suitable for chemical engineering applications, providing theoretical support and practical guidance for improving engineering design, preventing risks at the source, and passing on technical expertise.
II. The Core Connotation of the Knowledge Curse and the Unique Characteristics of the Chemical Industry 2.1 The Basic Connotation of the Knowledge Curse The knowledge curse is a common cognitive bias among humans; it is defined as follows: once an individual has mastered the professional knowledge, empirical rules, and industry practices in a certain field, they are unable to think from another perspective. They tend to assume that their personal implicit experiences and situational rules are universal truths, and as a result they omit important implicit information during collaboration and information exchange. This leads to information asymmetry, misunderstandings, and errors in work performance. Newton’s \"knocking experiment\" provided a concrete illustration of this logic: the knocker assumed that the audience’s accuracy rate in guessing songs would be around 50%, whereas the actual rate was only 2.5%. The core reason is that those who possess knowledge are constrained by their own inherent cognitive patterns, preventing them from recognizing the information gaps faced by those in groups with cognitive limitations; this leads to distorted information transmission, and it is also the underlying cognitive factor behind various hidden defects in chemical engineering design. 2.2 Distinctive Characteristics of the Knowledge Curse in Chemical Engineering Design The knowledge curse is present in various industries, but in the context of chemical engineering design, its risk characteristics, scope of impact, and consequences undergo fundamental changes, giving rise to five distinct features – which are also the underlying reasons why it constitutes a key hidden risk. First, the nature of the risks has escalated: from communication issues to the accumulation of three types of severe risks. The knowledge curse in ordinary industries only affects communication quality and efficiency; its consequences are mild and reversible. Chemical engineering design involves high-risk production processes, legal compliance requirements, and substantial investment costs; cognitive biases can thereby trigger three types of serious risks: safety issues, economic losses, and compliance violations. This results in a compounded hazard consisting of cognitive biases, engineering risks, and legal responsibilities, with consequences that are irreversible and extremely severe. Second, the knowledge structure is special: tacit knowledge accounts for a very high proportion. In the knowledge framework of chemical engineering design, explicit standards such as national and industry standards account for only 30%; the remaining 70% of the essential skills consist of implicit, tacit knowledge that is not covered by any written standards or unified tutorials. This includes skills related to determining operating condition boundaries, addressing the specific risks associated with various media, interpreting standards flexibly, adapting equipment to dynamic operating conditions, and gaining experience in avoiding common engineering pitfalls. Senior engineers tend to assume that their personal practical experience represents industry best practices, which creates knowledge gaps among employees from different specialties, as well as between new and experienced staff, and between the two parties involved. Third, the collaboration chain is excessively long: deviations are amplified at each stage, resulting in system vulnerabilities. Chemical engineering design covers more than a dozen specialties including process engineering, equipment design, instrumentation, electrical systems, civil engineering, safety, fire protection, and environmental protection. The technical chain connects various parties such as patent holders, design firms, project owners, contractors, supervisors, and operation and maintenance teams. A minor cognitive omission in a single step can be amplified as it propagates through the engineering process, eventually turning into systematic design flaws that span multiple disciplines. Fourth, the rules impose strict constraints: rigid regulations create loopholes in accountability. The entire process of chemical engineering design is governed by mandatory regulations such as those related to special equipment, strict safety requirements, and environmental protection standards. Senior engineers generally assume that standard provisions and industry benchmarks are common knowledge that everyone should be aware of, without the need for written documentation or repeated reminders. Many key implicit assumptions are established only through verbal agreements and are not included in formal technical documents; as a result, when engineering problems arise, technical gaps that cannot be traced or held accountable for arise. Fifth, the accumulation of cognitive blind spots: rigid thinking exacerbates the risk of overlooking issues. Designers generally suffer from four types of cognitive blind spots: a scenario-blind spot resulting from being away from the actual site, a specialty-bound blind spot stemming from an attachment to one’s own field of expertise, a risk-insensitivity blind spot arising from prolonged exposure to high-risk working conditions, and an experience-rigidity blind spot caused by reliance on past cases. The accumulation of multiple blind spots continuously amplifies cognitive biases, leading to the ongoing emergence and buildup of hidden risks.
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