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How big data has put the credibility of scientists in deep trouble

In 2011, Bayer HealthCare reviewed 67 in-house projects and found that they could replicate less than 25 percent

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Kai Zhang | The Conversation
There’s an increasing concern among scholars that, in many areas of science, famous published results tend to be impossible to reproduce.
This crisis can be severe. For example, in 2011, Bayer HealthCare reviewed 67 in-house projects and found that they could replicate less than 25 percent. Furthermore, over two-thirds of the projects had major inconsistencies. More recently, in November, an investigation of 28 major psychology papers found that only half could be replicated.
Similar findings are reported across other fields, including medicine and economics. These striking results put the credibility

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