How Big Data is Making the Scientific Method Difficult to Replicate

There has been a growing concern among intellectuals in many scientific fields, from academic researchers to pharmaceutical scientists, about the lack of practical application of their published test results towards solving real-world problems. Although they are given enough funding to operate laboratories with well-calibrated analytical instruments and high-tech equipment, these scholars still struggle to produce valid data from their in-house projects.

This crisis has severe consequences for scientists who follow the Scientific Method, which is still the foundation of research and development efforts. They begin by forming a theory that could be tested under specific circumstances, as in the variables that will be altered to see if the data changes. One case study from Bayer Healthcare involved a thorough review of 67 famous projects completed by the scientific community. To their dismay, only around 25% of the studies could be repeated in a different environment outside the lab facility.

Identifying the Problem in Data-Driven Theories for Publications

In November, another investigation of cognitive science news outlets proved that roughly 50% of psychology papers stated a hypothesis that can be replicated by someone who did not participate in the original studies. There were many flaws in testing scientific procedures, possibly due to insufficient ...


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