Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.

Acknowledgments: I am grateful to Mary Mack, CEDS, CISSP, for her valuable feedback on an early draft of this piece. At some point eDiscovery practitioners seem to have tacitly agreed that sample ...

Power analyses and sample size calculations are important parts of many research projects. Often, before data are even collected, it is necessary to calculate and justify the required sample size for ...

Proof of the fashion industry's infatuation with thin models on the runway. Liz Black is the creator of the website P. S. It’s Fashion and a lead plus-size fashion writer for Refinery29. In a recent ...

Back in the day, we learned in statistics that you need a sample size of at least 2% of the size of population to make statistically significant conclusions about the behavior of the population. In ...

Though society has made significant strides to accept body diversity over the past several years, remnants of exclusive, conventional beauty still remain. And plus-size fashion blogger Liz Black isn't ...

Sample size is not magic. It’s a good mantra, worth repeating. It’s even worth putting into song, thanks to Ted Berg. But it’s not magic, and it’s not worth all the inaction it can inspire. Spend all ...