Hard Problem of Objectivity

The myth of the view from nowhere. True objectivity would require a disembodied, ahistorical, bias-free perspective completely outside the system being observed. This is impossible for humans. Every observation is made by a situated observer with a body, a language, a culture, and a set of prior beliefs. The hard problem is that while we can approach objectivity through methods (blinding, controls, peer review), we can never fully attain it. The ideal of pure objectivity may be a necessary regulative ideal for science and ethics, but it is also a philosophical phantom.

Example: A journalist aims to report "objectively" on a political protest. But their choice of which quotes to feature, which images to show, and even the word "protest" (vs. "riot" or "demonstration") reflects a subjective framework. The hard problem: Striving for objectivity is crucial, but claiming to have achieved it is often a power move—a way of dismissing other perspectives as "subjective" or "biased." True objectivity might be the process of continually acknowledging and correcting for subjectivity, not its elimination. Hard Problem of Objectivity.

by Enkigal January 24, 2026

Objectivity Demarcation Problem

The core challenge in science and philosophy: how to distinguish an objective claim (true independent of observers) from a subjective one (dependent on a point of view). Since all observation is theory-laden and filtered through human senses and instruments, pure objectivity might be an impossible ideal. The "problem" is that every method we create to ensure objectivity (double-blind trials, peer review) is itself a socially constructed process. We demarcate the objective as that which survives these constructed filters, but the line is always provisional.

Example: "Two scientists saw the same data curve. One called it random noise; the other, a significant signal. The Objectivity Demarcation Problem is that their prior beliefs—their subjective 'priors'—dictated where they drew the line. Their argument wasn't about the data, but about where to place the demarcation between objective pattern and subjective illusion. Even statistics, our tool for objectivity, requires a subjective choice: the p-value threshold."

by AbzuInExile February 1, 2026