Why Most Published Research Findings Are False

Moklesur Rahman
2 min readJan 29, 2023

There is growing concern that the majority of research findings that have been published are inaccurate. The chance that a research statement is accurate might be influenced by factors such as the study’s strength and potential for bias, the number of previous studies conducted on the same topic, and, importantly, the proportion of actual relationships versus non-existent relationships within a particular field of science. In this story, I am going to share possible reasons why most published research findings are false.

  1. Confirmation bias: Researchers are often more likely to publish findings that confirm their hypotheses, while disregarding or downplaying results that do not support their beliefs.
  2. Publication bias: The tendency of journals to publish positive or significant results and reject null or inconclusive findings.
  3. Lack of reproducibility: Many published studies cannot be replicated, leading to false positive results that are not representative of the actual data.
  4. Statistical errors: Researchers may manipulate or misuse statistical methods to achieve significant results, leading to false positive conclusions.
  5. Conflict of interest: Researchers may have a financial or personal stake in their findings, leading them to selectively report results that support their interests.
  6. Low statistical power: Many studies are underpowered, meaning that they are not designed to detect small effects and thus may miss true relationships or report false negative results.
  7. Small sample size: Small sample sizes can lead to sampling bias, overfitting and instability of findings, making them unreliable and difficult to generalize.

These factors contribute to the widespread issue of false positive results in the scientific literature and highlight the importance of robust research methods and independent replication efforts to ensure the validity of findings.

--

--

Moklesur Rahman

PhD student | Computer Science | University of Milan | Data science | AI in Cardiology | Writer | Researcher