Abstruseness

Abstruseness refers to the quality of being difficult to understand or grasp, often due to complexity, obscurity, or deep theoretical nature. It describes something that is perplexing, intricate, and requires significant mental effort to comprehend. This quality can manifest in language, concepts, theories, or artistic expressions, making them inaccessible or challenging for many audiences. The level of abstruseness varies; some instances are mildly complex, while others border on impenetrable, requiring specialized knowledge or advanced study.

Abstruseness meaning with examples

• The philosopher’s writings were notorious for their abstruseness, filled with convoluted arguments and specialized terminology, making them a challenge for even seasoned academics. Few could easily follow his chain of reasoning, often resorting to multiple readings. Many were confounded by his concepts and his difficult style.
• The abstruseness of the mathematical proofs used in the new physics paper left many physicists unable to verify its validity. Only a specialized sub-group with advanced skills could thoroughly inspect it. The complex equations contained a high level of intricacy which contributed to its difficulty.
• The artist’s conceptual installation was criticized for its intentional abstruseness, leaving viewers confused about the intended message. The lack of clear symbolism made the art a puzzle. Many struggled to interpret its deeper meanings. The lack of guideposts alienated the uninitiated.
• The lawyer encountered significant abstruseness in deciphering the ancient legal documents, due to the archaic language and complex sentence structures. She was forced to use several resources. The historical context further complicated the work. The layered terms were difficult.
• The financial report’s abstruseness, loaded with jargon and sophisticated metrics, made it inaccessible to the average investor. Many relied on expert interpretation to derive any useful information. A few well placed summaries could change this. The complexity concealed crucial data points.