论文标题
没有证据表明性别平等与病原体患病率之间存在关联 - 对Varnum和Grossmann 2017的评论
No evidence for an association between gender equality and pathogen prevalence -- a comment on Varnum and Grossmann 2017
论文作者
论文摘要
在以前发表在《自然人类行为》中的研究中，瓦纳姆和格罗斯曼声称，性别不平等的降低与1951年至2013年美国病原体流行率的降低有关。由于Varnum和Grossmann使用的统计方法是众所周知的统计方法（似乎是众所周知）的统计时间序列，因此静止不动的时间序列，是如此的统计型脉络序列，这是如此无聊的态度，这是如此众所周知的corressive corressene corressim corrious contrious contrious contrious contrious corrious contrious，当前形式的不平等和病原体患病率也是错误指定模型的结果，这些模型无法正确解释数据的时间结构。我们的分析清楚地表明是这种情况。然后，我们在数据中讨论并应用了建模时间序列过程的几种标准方法，并表明至少到目前为止，没有支持性别不平等与病原体患病率之间的统计关联。
In a previous study published in Nature Human Behaviour, Varnum and Grossmann claim that reductions in gender inequality are linked to reductions in pathogen prevalence in the United States between 1951 and 2013. Since the statistical methods used by Varnum and Grossmann are known to induce (seemingly) significant correlations between unrelated time series, so-called spurious or non-sense correlations, we test here whether the statistical association between gender inequality and pathogens prevalence in its current form also is the result of mis-specified models that do not correctly account for the temporal structure of the data. Our analysis clearly suggests that this is the case. We then discuss and apply several standard approaches of modelling time-series processes in the data and show that there is, at least as of now, no support for a statistical association between gender inequality and pathogen prevalence.
