摘要翻译：
像HARKing或p-hacking这样有问题的研究实践最近在科学界内外引起了相当大的兴趣。我们将涉及秘密数据窥探的这种影响随后统计推断的做法归入术语missing（操纵受窥探的证据）之下，并使用一个经验和一个简单的理论例子讨论、说明和量化几种形式的missing可能产生的戏剧性影响。这个实证例子使用了最受欢迎的德国彩票中的数字，这些数字似乎表明13是一个不吉利的数字。
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英文标题：
《Unlucky Number 13? Manipulating Evidence Subject to Snooping》
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作者：
Uwe Hassler and Marc-Oliver Pohle
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最新提交年份：
2020
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分类信息：

一级分类：Statistics        统计学
二级分类：Applications        应用程序
分类描述：Biology, Education, Epidemiology, Engineering, Environmental Sciences, Medical, Physical Sciences, Quality Control, Social Sciences
生物学，教育学，流行病学，工程学，环境科学，医学，物理科学，质量控制，社会科学
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一级分类：Economics        经济学
二级分类：Econometrics        计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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英文摘要：
  Questionable research practices like HARKing or p-hacking have generated considerable recent interest throughout and beyond the scientific community. We subsume such practices involving secret data snooping that influences subsequent statistical inference under the term MESSing (manipulating evidence subject to snooping) and discuss, illustrate and quantify the possibly dramatic effects of several forms of MESSing using an empirical and a simple theoretical example. The empirical example uses numbers from the most popular German lottery, which seem to suggest that 13 is an unlucky number.
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PDF链接：
https://arxiv.org/pdf/2009.02198