![]() The top reason behind this act is because researches with statistically significant results are more likely to be accepted. Performing experiments multiple times until getting the wanted result (without reporting lots of unwanted results) is called data dredging or p-hacking. This experiment is then brought to the surface and the scientists conclude that their new drug has improved the recovery time from the virus. Suppose that out of 20 experiments, only 1 experiment that reports a statistically significant result. The mean of (A) and (B) are then compared to check whether there’s a statistically significant difference between them. (B) Several people who recovered without the drug are asked to participate in the experiment & are then given the drug (A) Several people who recovered without the drug are asked to participate in the experiment Basically, here’s how each experiment is performed. Let’s say the used confidence level is 95%. ![]() They perform a statistical hypothesis testing which starts from stating that there’s no difference between the recovery time for people without & with the drug (null hypothesis). “If you torture the data long enough, it will confess to anything” - Ronald Coase.ĭata dredging / p-hacking for the sake of a published study.Ī group of scientists are asked for investigating whether a new developed drug improves the recovery time from a virus. ![]()
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