Why is "The Design Inference" trending?

Wikipedia Overview

The Design Inference: Eliminating Chance through Small Probabilities is a book which sets out to establish approaches by which evidence of intelligent agency could be inferred in natural and social situations. Originally stemming from his 1996 doctoral dissertation, the first edition, written by American philosopher and mathematician William A. Dembski, a proponent of intelligent design, was published in 1998. It was revised in 2023 by Dembski and software engineer Winston Ewert. In the book they distinguish between three general modes of competing explanations in order of priority: regularity, chance, and design. The processes in which regularity, chance, and design are ruled out one by one until one remains as a reasonable and sufficient explanation for an event, are what they call an "explanatory filter". It is a method that tries to eliminate competing explanations in a systematic fashion including when a highly improbable event conforms to a discernible pattern that is given independently of the event itself. This pattern is what Dembski coined specified complexity. Throughout the book they use diverse examples such as detectability of spontaneous generation and occurrence of natural phenomena and cases of deceit like ballot rigging, plagiarism, falsification of data, etc.