Society & Economicspreprint2026-08-14

Quantitative Metrological Analysis of Anomalous Signatures

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Abstract

Update & Version Notice: This work is part of an ongoing research and refinement process published as a preprint. To ensure that all language versions remain fully synchronized, only the latest version serves as the binding reference. We apologize for any inconvenience. Data Availability: Configuration log for samples F01–F14 is available in the supplementary material. Invitation to peer review: The author of this independent study invites expert validation. Constructive discussion regarding the presented data is expressly welcomed. History and Intentions: This analysis is the result of a scientific inquiry originating from a personal experience in 1987 in Sacramento, California. Following a close encounter with a non-human entity, the author first recognized in 2023 within the documented UAP footage from Kumburgaz (Yalman, 2008) the exact morphology—specifically the characteristic type of glowing yellow eyes—that had been observed at close range in 1987. The author decided to conduct further investigation, which began in 2025. In addition to personal processing, the author intends with this analysis to bridge the gap between subjective experience and objective data analysis, thereby contributing as a direct eyewitness to the foundational scientific research of the NHI topic. Personal Intentions and Goals: This analysis is intended to make the insights gained from the examined material, alongside information regarding the 1987 event, accessible to the global community within an academic framework (alongside personal processing). External interests are not pursued. Given difficult topics such as the abduction phenomenon, there is an ethical responsibility for disclosure within the scope of a holistic revelation of the UAP and NHI phenomenon. To avoid societal misunderstanding and overwhelm (ontological shock), this analysis was transferred to scientific repositories following an initial informal phase. The focus remains consistently on an empirical and fact-based data foundation. Notes on Methodological Elaboration and AI Usage: The identification of features, the methodological approach, and the final interpretation are based on the author's own observations, with the entities in both image sources classified as an identical species. Although the author, as a medical doctor, does not possess advanced theoretical knowledge of quantum physics, the identified morphological patterns and features nevertheless led to the hypothesis of potential field stabilization. This assumption was methodically refined and developed with the support of modern AI tools. Ethical and Methodological Note: This metrological analysis is conducted with due respect for the interaction with a presumed human subject documented in the examined image; the present investigation is strictly limited to the objective morphological features of the described entity against a dark background on the right side of the image space. The deliberately chosen, distanced, and clinically descriptive tonality serves methodological integrity: given the extraordinary nature of the phenomenon, any subjective interpretation is avoided in order to prevent an anthropocentric distortion of the data and to fulfill the scientific requirement for maximum objectivity. Abstract: Quantitative Metrological Analysis of Anomalous Signatures Measuring a Paradox: Metric Validation of Non-Human Morphology: This study presents a quantitative analysis of anomalous phenomena. Based on the UAP footage from Kumburgaz (2008), the author provides mathematical evidence of highly ordered image acquisition over a distance of approximately 3 km, which constitutes a paradox. The cause for this stabilized morphology eludes conventional explanatory models. Key Findings Mathematical Precision: The analysis of geometric proportions in 2D image space (pupil-to-eyelid-edge ratio) documents extreme metric stability with a Standard Deviation (SD) of 0.01. This value effectively rules out random artifacts or image defects and represents an anomaly under the given acquisition conditions. Physical Anomalies: Through the verification of a spherical-convex surface reflection equivalent (adjacent to the cornea analog) and the identification of active luminescence, the entity is classified as a "Constructed Biological Entity" (CBE). Interdisciplinary Bridge: The work connects forensic metrology with direct experience (Sacramento,1987). It transforms subjective eyewitness reports (Yalman & Lacson) into an objectifiable, scientific reference protocol. This study supports an expanded, modern era of direct NHI research, in which there is an opportunity not only to describe anomalous features but also to measure them. It provides the data basis for global, interdisciplinary validation. About the Author / Statement of Intent: Caroline Lacson is a licensed physician and a trained mechanical drafter. This interdisciplinary expertise enables her to combine medical-anatomical observations with precise geometric analysis methods. Motivated by a personal encounter with an NHI in Sacramento in 1987, she dedicates herself to the independent study of unidentified phenomena. In this analysis, she focuses on methodological reproducibility and the provision of valid data in order to place the subjective experience within a verifiable scientific context. Note on the project-accompanying website “nhi-insights”: This fully revised and updated website presents the initial visual examination of a specific area within frame 7 of one of the 2008 Kumburgaz recordings (filmed by M. Y. Yalman and processed by Prof. M. Valdés in 2010), which serves as the basis for this analysis. Although the processing tool employed utilizes a proprietary algorithm, the investigation has enabled the identification of significant details regarding facial features as well as interacting elements. An accompanying video for the reproduction protocol (Table A3) is available on the website.

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-14