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“Mechanical objectivity” as a book category gathers works that examine or embody the ideal of minimizing human judgment by relying on instruments, standardized procedures, and automation to produce knowledge. These books trace how tools like photography, self-registering devices, statistics, algorithms, and protocols aim to let “nature speak for itself,” reshaping observation, representation, and decision-making in science, technology, and public life. The category highlights both promises and pitfalls—neutrality, reproducibility, and accountability versus hidden bias, value-laden choices, and the ethics of suppressing the observer’s hand. It includes historical and philosophical studies, contemporary critiques of data-driven governance and AI, and practical manuals that codify method to make results impersonal and replicable.

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