Kai Zhang, University of North Carolina at Chapel Hill
Science is in a reproducibility crisis. This is driven in part by invalid statistical analyses that happen long after the data are collected – the opposite of how things are traditionally done.
Wansink’s research showed plate size matters when it comes to how much we eat.
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The journal of the American Medical Association (JAMA) recently retracted several papers by a leading researcher on food and consumption. What does this mean for the researcher’s findings?
There is a growing research literature suggesting psychedelics hold incredible promise for treating mental health ailments ranging from depression and anxiety to PTSD.
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To know the real promise of psychedelic substances like LSD, mushrooms and MDMA, researchers must embrace the principles and practise of ‘open science.’
Negative results are still useful, and should not be hidden.
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Questionable research practices are not fraud, and they’re not cause for panic. But they do give us some hints about how we can make science more robust.
Bad research techniques have called into question the results of many psychology studies. Fixing the problem starts with making sure students don’t pick up bad habits.
Playing violent video games doesn’t make kids more aggressive.
AP Photo/Paul Sakuma
Scientists are rewarded with funding and publications when they come up with innovative findings. But in the midst of a ‘reproducibility crisis,’ being new isn’t the only thing to value about research.
Science itself needs to be put under the microscope and carefully scrutinised to deal with its flaws.
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We are observing two new phenomena. On one hand doubt is shed on the quality of entire scientific fields or sub-fields. On the other this doubt is played out in the open, in the media and blogosphere.
Step one is not being afraid to reexamine a site that’s been previously excavated.
Dominic O'Brien. Gundjeihmi Aboriginal Corporation
A team of archaeologists strived to improve the reproducibility of their results, influencing their choices in the field, in the lab and during data analysis.