Is any research ever truly bias-free? The myth of objectivity in science.

Science is frequently imagined as a domain untouched by human preference, where truth emerges cleanly from method. This paper challenges that image directly. Bias is a family of distortions that cause results to be skewed or unfair, so they do not accurately represent the truth. Bias settles quietly into the scaffolding of a study, shaping what gets measured, what gets ignored, and ultimately what gets believed. Bias enters research from multiple directions. At the cognitive level, confirmation bias, anchoring bias, and availability bias distort how evidence is gathered and interpreted. At the institutional level, publication bias filters the scientific record toward positive findings, while funding relationships and disciplinary hierarchies shape which questions are considered worth asking in the first place. At the cultural level, researchers' values, positionalities, and social locations color every methodological choice, often invisibly. No stage of inquiry is immune. Objectivity, this paper argues, is best understood not as an achievable state but as a regulative ideal. Transparency, reflexivity, and willingness to be corrected are its practical expressions. For Naunyn-Schmiedeberg's Archives of Pharmacology which has navigated paper mill infiltration, AI-generated manuscripts, geographic citation disparities, and persistent gender imbalance in authorship, this carries concrete implications. It is suggested that authors, reviewers, and editors consider positionality statements, declarations, demographic monitoring, and methodological auditing as ongoing commitments. Recognizing bias is not a concession of failure. It is, paradoxically, the foundation on which trustworthy knowledge is built.