A Temporal Forecasting Framework for Palm Crease Analysis: A Phenomenological Approach

Recent forensic studies, including investigations into the relationship between palmar “lifeline” length and mortality, highlight both the biological reality of palm creases and the limitations of associating them directly with lifespan. Palmar creases are anatomical structures formed between the 12th and 17th weeks of gestation, present at birth, and evolving in visibility across the lifespan [1-3]. Building on this foundation, this paper introduces a temporal forecasting framework that interprets palm crease geometry as a structured map of personal life transitions.Unlike traditional palmistry or simple crease-length studies, this model produces month–year markers divided into six-month periods beginning at age 5, identifying windows of highest probability (Yog) for major transitions such as relational changes, career shifts, or health events. Accuracy increases when temporal markers align across multiple creases, supporting probabilistic inference of event domains.The model has been refined over 40 years of application with thousands of individuals, incorporating both retrospective validation and prospective feedback. This long-term iterative process provides an unusually strict validation regime rarely observed in unconventional forecasting frameworks. While bounded in scope, its reproducibility, falsifiability, and temporal granularity make it a promising subject for forensic inquiry. Beyond forensic applications, the model provides a structured way of engaging with unbounded human problems — contextual life transitions that resist deterministic prediction yet display measurable temporal regularities. Unlike DNA-based or survey-based models, which often require invasive sampling or detailed personal information, this framework is non-invasive, requires only palm photographs and month–year of birth, and can forecast both past and future major life transitions (changes) of any individual without additional inputs.

Authors

Publication Details

Journal
Journal of Forensic Science and Research
Published
2025-09-24
DOI
https://doi.org/10.29328/journal.jfsr.1001100
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

A Temporal Forecasting Framework for Palm Crease Analysis: A Phenomenological Approach

Chandra Sandip
Journal of Forensic Science and Research
Insurance and Financial Risk Management
article

A Temporal Forecasting Framework for Palm Crease Analysis: A Phenomenological Approach

Chandra Sandip
article en

Abstract

Recent forensic studies, including investigations into the relationship between palmar “lifeline” length and mortality, highlight both the biological reality of palm creases and the limitations of associating them directly with lifespan. Palmar creases are anatomical structures formed between the 12th and 17th weeks of gestation, present at birth, and evolving in visibility across the lifespan [1-3]. Building on this foundation, this paper introduces a temporal forecasting framework that interprets palm crease geometry as a structured map of personal life transitions.Unlike traditional palmistry or simple crease-length studies, this model produces month–year markers divided into six-month periods beginning at age 5, identifying windows of highest probability (Yog) for major transitions such as relational changes, career shifts, or health events. Accuracy increases when temporal markers align across multiple creases, supporting probabilistic inference of event domains.The model has been refined over 40 years of application with thousands of individuals, incorporating both retrospective validation and prospective feedback. This long-term iterative process provides an unusually strict validation regime rarely observed in unconventional forecasting frameworks. While bounded in scope, its reproducibility, falsifiability, and temporal granularity make it a promising subject for forensic inquiry. Beyond forensic applications, the model provides a structured way of engaging with unbounded human problems — contextual life transitions that resist deterministic prediction yet display measurable temporal regularities. Unlike DNA-based or survey-based models, which often require invasive sampling or detailed personal information, this framework is non-invasive, requires only palm photographs and month–year of birth, and can forecast both past and future major life transitions (changes) of any individual without additional inputs.

Journal of Forensic Science and Research
Openalex Percentile: Top 65%
Insurance and Financial Risk Management
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