In his 1934 book "The Logic of Scientific Discovery», philosopher Karl Popper stated that "non-reproducible single occurrences are of no significance to science". Despite the importance of replication in science, it is often undervalued compared to exploration. 

The paper "Rethinking Research Reproducibility" by Ulrich Dirnagl explores the critical issue of reproducibility in scientific research, particularly in the biomedical sciences. Dirnagl emphasizes the importance of replication in scientific inquiry, addressing challenges like false positives, research design flaws, and biases. He proposes a framework for methods, results, and inferential reproducibility, and advocates for a cultural shift towards prioritizing reproducibility in research. The paper suggests strategies like preregistration, transparent reporting, and incentivizing replication efforts to improve reproducibility and ensure the reliability of scientific knowledge. 

As we are at the beginning of our reproducibility meetings, we will try to simplify the statistical concepts outlined in the paper to make them more accessible. We believe that discussing this paper could serve as a gentle introduction to the topic.

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