This concept—which emerged in Germany in the 1970s and 1980s—dictates that, when in doubt, the state should seek to prevent ...

A new study conducted by the Institute for Biology Education has concluded that the way in which supporting knowledge of key ...

Steyerl challenges us to recognise the vast scale of AI’s ubiquity and also to realise its ‘artificial stupidity’ ...

Chen, J. Y., Xu, Z. and Zhang, T. (2025) A Study of Chinese Language Morphemes in the Perspective of Second Language Acquisition (1998-2024) —Based on Bibliometric Analysis. Open Journal of Social ...

Introduction Frontline leaders are the most influential change agents in a healthcare organization. They play a critical role ...

Millions struggle financially despite low unemployment, as true job quality and wages lag behind living costs, according to ...

In the spring of 2025, as American families struggle with unprecedented consumer costs, we find ourselves at a point of ...

Surprisingly, the history of statistics doesn’t go back very far. In the 17th century, British demographer John Graunt ...

Statistical findings have traditionally been deemed “significant” if the probability ... Neyman and Pearson introduced two concepts that would go on to plague statistics students: type I ...

The consequences of this are dire. Many innovative concepts never see the light of day as they don’t meet the stringent criteria of Statistical Significance, despite their potential to drive ...

The concept of statistical significance predated Gosset, but prior statisticians worked in the regime of large sample sizes. To appreciate why this distinction matters, we need to understand how ...