A Double Birthday Paradox in the Study of Coincidences

Coincidences are rare unexpected events that can fascinate, but their typical post hoc discovery and haphazard nature also have the potential to confuse and to confound correct scientific analysis. Mathematically, they can sometimes be modeled by birthday-problem collisions in datasets. In this paper, we take an expository approach to considering some of the issues involved in modeling of coincidences found from data searches and examine a double birthday problem that arises when multiple data sets are considered.

Authors

Institutions

Publication Details

Journal
Mathematics
Published
2024-12-10
DOI
https://doi.org/10.3390/math12243882
Citations
2
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
1.78

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Double Birthday Paradox in the Study of Coincidences

Marco Pollanen
2 citations
Mathematics
Stochastic processes and statistical mechanics
1.78
article

A Double Birthday Paradox in the Study of Coincidences

Marco Pollanen
article en
2 citations

Abstract

Coincidences are rare unexpected events that can fascinate, but their typical post hoc discovery and haphazard nature also have the potential to confuse and to confound correct scientific analysis. Mathematically, they can sometimes be modeled by birthday-problem collisions in datasets. In this paper, we take an expository approach to considering some of the issues involved in modeling of coincidences found from data searches and examine a double birthday problem that arises when multiple data sets are considered.

MathematicsVol. 12(24)
Trent University (CA)
Natural Sciences and Engineering Research Council of Canada
Reduced inequalities
Openalex Percentile: Top 15%
Stochastic processes and statistical mechanics
1.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.