Author: Al-Anoud D. Al-Otaibi ¹
¹ LearTechX-Science and Technology
Received: 14 January 2026 | Published: 3 April - 2026
1. INTRODUCTION.
Scientific research is the foundation upon which the development of scientific and cognitive fields is built, and without it, understanding natural and social phenomena becomes difficult. Nevertheless, the researcher remains a human being, with a mind and thinking patterns that influence observations, data processing, experimental design, and the interpretation of results. In this context, Friedman (Friedman, 2017, p. 2) defined cognitive bias as ‘systematic error in thinking that affects the decisions and judgments that people make’. Since attention is a limited resource, people must be selective about what they pay attention to in the world around them [1].
2. Types and Origins of Cognitive Biases.
Psychological research has identified numerous cognitive biases that influence human judgment and decision-making (Caverni, 1990; Kahneman, 2011). Biases that deviate from logical or statistical standards in research fall into two categories: those arising from cognitive limitations (noise-driven) and those arising from motivational factors [2]. Cognitive biases driven by mental noise arise from limitations in information processing and reliance on heuristics, mental shortcuts used for rapid decision-making, such as anchoring bias, in which researchers over-rely on initial values (such as prior estimates or preliminary data) when forming subsequent judgments; availability bias, which leads researchers to overweight information that is most easily recalled, regardless of its actual frequency or relevance; and the representativeness heuristic, in which probability judgments are made based on superficial similarity to a prototype rather than on sound statistical reasoning [1]. Motivational biases, as described in the cognitive bias literature (Durmus , 2023), occur when judgments are shaped by personal desires rather than objective evidence, including motivated reasoning, in which researchers preferentially seek support for favored hypotheses; optimism bias, involving unrealistic expectations about the likelihood of favorable outcomes; and confirmation bias, in which individuals favor information consistent with prior beliefs while discounting contradictory evidence [1, 2].
3. Mechanisms for Correcting Biases and Reducing Their Impact.
Understanding cognitive processes through the study of their deviations, beyond merely cataloging biases, empowers researchers to identify these biases and develop strategies to minimize their effects to the greatest extent possible. The essential first step is acknowledging their existence; ignoring biases does not eliminate them, but conscious recognition marks the critical initial phase of mitigation [1]. Practical solutions include improved information presentation, structure-modifying techniques that change how people search for and evaluate information, and by training individuals to recognize common bias patterns: through awareness, guidance, and applying rational alternative strategies [3]. Slow, analytical thinking corrects fast intuitions, but confirmation bias can persist even under deliberate reflection [4]. Therefore, continuous education, critical self-reflection, structured debiasing interventions, and deliberative analytical reasoning are essential tools for reducing biased judgment in scientific practice [5].
REFERENCES.
[1] Friedman, H. H. (2017). Cognitive biases and their influence on critical thinking and scientific reasoning: A practical guide for students and teachers. SSRN Electronic Journal.
[2] Durmus, M. (2023). The cognitive biases compendium: Explore over 150 cognitive biases (2023). Self‑published.
[3] Caverni, J.-P., Fabre, J.-M., & Gonzalez, M. (Eds.). (1990). Cognitive biases. North-Holland. 524-540.
[4] Kahneman, D. (2011). Thinking, fast, and slow. Farrar, Straus and Giroux, 199-200.
[5] Lilienfeld, S. O., Ammirati, R., & Landfield, K. (2009). Giving debiasing away: Can psychological research on correcting cognitive errors promote human welfare? Perspectives on Psychological Science, 4(4), 390–398.
