"We know that scientific papers regularly contain errors. One algorithm that ran through thousands of psychology papers found that, at worst, more than 50% had one specific statistical error, and more than 15% had an error serious enough to overturn the results. ... Imagine the number of errors that litter the scientific literature that haven’t been corrected because to do so is just too much hassle." -- The Guardian.
"The vast majority of neuroimaging studies are underpowered and rarely produce results above noise. The odds that an average neuroscience study is true is 50-50 or lower, according to a 2013 review. And an estimated 50% of studies in biomedicine “have statistical power in the 0–10% or 11–20% range, well below the minimum of 80% that is often considered conventional.” P-hacking and hypothesis fishing are rewarded because they make for more remarkable, and therefore more publishable, results (Figure 2)." -- New Science blog post by Niko McCarty, 9/6/2022