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Did Alibaba Fake the Tmall 'Double Eleven' Data? Evidence from Benford's Law

机译:阿里巴巴假装TMALL“双重十一”数据? 来自本福德法律的证据

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Under the witness and supervision of hundreds of media from all over the world, the Alibaba's gross merchandise volume of 2019 Tmall "Double Eleven" Global Shopping Festival surpassed RMB 268.4 billion (USD 38.4 billion). While people were lamenting the contribution of cutting hands to the new record, a voice was spread on the internet saying that Alibaba artificially modified the sales data and there was a fraud. To detect whether Alibaba faked the Tmall "Double Eleven" data, this paper develops a methodological framework of sales data fraud detection based on Benford's Law. A series of six criteria are defined to verify the applicability of using Benford's Law to investigate the sales data. A principle of detecting the top three digits of the sample data is adopted. The historical Tmall "Double Eleven" data from 2009 to 2019 are collected and extended into three groups of data with larger sizes by a simulation method based on a regression model. The percentages of the top three digits are calculated and compared with the corresponding probability distributions of Benford's Law. The chi-squared test is conducted on these data and the test result demonstrates that the detected data obey Benford's Law. The analysis implies that there is no statistical significant evidence to show that Alibaba faked the Tmall "Double Eleven" Data.
机译:根据世界各地的数百名媒体的证人和监督,阿里巴巴的毛额数量为2019年TMALL“双重十一”全球购物节超过了人民币2684亿元(384亿美元)。虽然人们对新纪录的削减削减了削减了削减的贡献,但是互联网上的声音蔓延,说阿里巴巴人为地修改了销售数据,涉及欺诈。要检测阿里巴巴是否伪造了TMALL“双重十一”数据,这篇论文基于本福德法的销售数据欺诈检测方法框架。定义了一系列六个标准,以验证使用本公司法律调查销售数据的适用性。采用检测样本数据的前三位数字的原则。从2009年到2019年的历史TMALL“双重11”数据被收集并通过基于回归模型的仿真方法延伸到三组数据。与本福德法律相应的概率分布进行计算并进行计算。 Chi方向进行了这些数据,测试结果表明检测到的数据obey Benford的定律。分析意味着没有统计的重要证据表明阿里巴巴伪造了TMALL“双十一”数据。

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