New video about non-standard errors

The team behind a recent Journal of Finance paper has posted a video explaining the concept of non-standard errors. This is a vital piece of research for researchers across all fields, and I highly recommend giving it a watch. The video provides a succinct explanation of non-standard errors. In contrast to standard errors, which represent the variability in statistical estimates when samples are randomly drawn from a population, non-standard errors occur when different research teams analyzing the same sample make diverse decisions along the analysis path, leading to variability in estimates. In an experiment involving 164 research teams that I was a part of, we demonstrated that non-standard errors are at least as large as standard errors. This highlights the dual sources of uncertainty in any given estimate: standard error (variability with different samples) and non-standard error (variability with different teams analyzing the same data). Visit https://nonstandarderrors.com/ for further information and the video.