• Dr Taranjit Rao

Survivorship bias is a cognitive bias that pervades research methodologies and decision-making processes across diverse domains. This conceptual paper aims to elucidate the nature of survivorship bias, its underlying mechanisms, and its profound implications for research integrity and decision-making accuracy. Drawing upon existing literature and theoretical frameworks, the paper examines the causes and consequences of survivorship bias in fields such as finance, healthcare, historical analysis, and business strategy. The paper defines survivorship bias as the tendency to focus solely on surviving entities or successful outcomes, while neglecting those that did not survive or were not successful. It discusses how survivorship bias arises from factors such as data availability, selection bias, and reporting biases, leading to distorted perceptions of reality and biased conclusions. Through illustrative examples and case studies, the paper showcases the impact of survivorship bias on risk assessments, performance evaluations, and strategic decision

Cognitive Bias, Mitigating Bias, Learning from Failure, Statistical Fallacy

"Understanding Survivorship Bias: Implications for Research and Decision-Making", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.c604-c612, June-2024, Available :http://www.jetir.org/papers/JETIR2406276.pdf

"Understanding Survivorship Bias: Implications for Research and Decision-Making", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppc604-c612, June-2024, Available at : http://www.jetir.org/papers/JETIR2406276.pdf