A recipe for irreproducible results
Data Analysis, Statistics and Probability
2017-06-26 v1
Abstract
Recent studies have shown that many results published in peer-reviewed scientific journals are not reproducible. This raises the following question: why is it so easy to fool myself into believing that a result is reliable when in fact it is not? Using Brownian motion as a toy model, we show how this can happen if ergodicity is assumed where it is unwarranted. A measured value can appear stable when judged over time, although it is not stable across the ensemble: a different result will be obtained each time the experiment is run.
Cite
@article{arxiv.1706.07773,
title = {A recipe for irreproducible results},
author = {Ole Peters and Maximilian Werner},
journal= {arXiv preprint arXiv:1706.07773},
year = {2017}
}
Comments
11 pages, 4 figures