Evidence map›Paper›PMID 40166116›Full record

ArticleFundamental research2025

Last digit tendency: Lucky numbers and psychological rounding in mobile transactions.

Hai Wang, Tian Lu, Yingjie Zhang, Yue Wu, Yiheng Sun, Jingran Dong, Wen Huang

Abstract read
In one paragraph

Article in Fundamental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hai WangSchool of Computing and Information Systems, Singapore Management University, Singapore 178902, Singapore.
Tian LuW. P. Carey School of Business, Arizona State University, Tempe, AZ 85287, USA.
Yingjie ZhangGuanghua School of Management, Peking University, Beijing 100871, China.
Yue WuTencent Weixin Group, Shenzhen 518054, China.
Yiheng SunTencent Weixin Group, Shenzhen 518054, China.
Jingran DongTencent Weixin Group, Shenzhen 518054, China.
Wen HuangTencent Weixin Group, Shenzhen 518054, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The distribution of digits in numbers obtained from different sources reveals interesting patterns. The well-known Benford's law states that the first digits in many real-life numerical data sets have an asymmetric, logarithmic distribution in which small digits are more common; this asymmetry diminishes for subsequent digits, and the last digit tends to be uniformly distributed. In this paper, we investigate the digit distribution of numbers in a large mobile transaction data set with 835 million mobile transactions and payments made by approximately 460,000 users in more than 300 cities. Although the first digits of the numbers in these mobile transactions follow Benford's law, the last digit has a strong tendency to be a lucky number or be influenced by psychological rounding. This lucky number tendency is more significant in transactions that are more strongly connected to social interactions, such as money sent as gifts or as "red envelopes" (a traditional method of gift-giving during Chinese holidays), and in transactions by individuals with potentially greater emotional needs, such as during COVID-19 outbreaks and natural disasters. This psychological rounding tendency is more common in online e-commerce payments, in-store purchases, and money transfers between individuals. These findings are key for understanding the last digit tendency and its psychological and emotional mechanisms, which could be used as an indicator of public sentiment or in methods of detecting fraudulent business activity.

Indexed as

Difference-in-differencesLast digitLucky numberMobile transactionPsychological rounding

Identifiers

PMID40166116
PMCPMC11955024

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.