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Another great testimonial for Karen Caramiello from a valued customer, thank you! ⭐⭐⭐⭐⭐

Read more about Karen and our Handwriting services on our dedicated Handwriting website. You can send an enquiry via the site:

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#HandwritingAnalysis #Forensics #ExpertWitness

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Psychology reveals what people who still write by hand are really thinking about life - SECOM ES Sarah stared at her laptop screen, fingers hovering over the keyboard. Her to-do list app showed 47 uncompleted tasks, color-coded by priority and sorted by

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secom.es/handwriting-...

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Digital typing is costing us our "mind-hand-heart connection." Graphology Expert Samata Dey Bose (Heal Vibes Haven) on how handwriting reflects your subconscious mind, chakras, emotions.
Read: queenoftreasures.com/2025/11/24/g...
#HandwritingAnalysis #EmotionalHealing #KnowYourself #mentalhealth

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AI-powered handwriting analysis may help detect dyslexia and dysgraphia in children A new University at Buffalo-led study outlines how artificial intelligence-powered handwriting analysis may serve as an early detection tool for dyslexia and dysgraphia among young children.

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www.news-medical.net/news/2025051...

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Handwriting in Mild Cognitive Impairment: Reliability Assessment and Machine Learning–Based Screening Background: Mild cognitive impairment (MCI) is a precursor of dementia. Therefore, MCI identification and monitoring are crucial to delaying dementia onset. Given the limits of existing clinical tests, objective support tools are needed. Objective: This work investigates quantitative handwriting analysis, tailored to enable domestic monitoring, as a noninvasive approach for MCI screening and assessment. Methods: A sensorized ink pen, used on paper and equipped with sensors, memory, and a communication unit, was used for data acquisition. The tasks included writing a grocery list and free text to mimic daily life handwriting, and a clinical dictation test (parole-non-parole [PnP] test), featuring regular, irregular, and made-up words, aimed at assessing MCI dysgraphia. From the recorded data, 106 indicators describing the performance in terms of time, fluency, exerted force, and pen inclination were computed. A total of 57 patients with MCI were recruited, of whom 45 performed a test-retest protocol. The indicators were examined to assess their test-retest reliability. The indicators from the test repetition were used to assess their relationship with the scores of clinical tests via correlation analysis. For the PnP test, differences in the indicators among the 3 types of words were statistically investigated. These analyses were conducted separately for the cursive (2/3 of the sample) and block letters (1/3 of the sample) allographs, with the level of significance set at 5%. Data from healthy older adults were available for the grocery list (34 participants) and free text (45 participants) tasks. These were exploited to build machine learning classification models for the distinction between patients with MCI and healthy controls. Results: When dealing with reliability, 93% and 44% of the indicators were characterized by a significant reliability of at least moderate intensity for cursive and block letters respectively. As for the correlation analysis, patients with preserved cognitive status and daily life functionality were associated with significantly better temporal performances, both in free writing and PnP. The analysis of PnP highlighted the presence of surface dysgraphia in the recruited sample, as irregular words showed significantly worse temporal indicators with respect to regular and made-up ones. The classification models’ built-in free writing data achieved accuracies ranging from 0.80 to 0.93 and F1-scores from 0.81 to 0.92 according to the input dataset. Conclusions: The presented results suggest the suitability of ecological handwriting analysis for the all-around monitoring of MCI, from early screening to disease progression evaluation.

New in JMIR Aging: Handwriting in Mild Cognitive Impairment: Reliability Assessment and Machine Learning–Based Screening #MildCognitiveImpairment #DementiaAwareness #CognitiveHealth #HandwritingAnalysis #MachineLearning

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The Lie We Wanted to Believe: Jack the Ripper's 'Lost' Diary What if Jack the Ripper, the world's most elusive killer, left a full confession? In the 1990s, a diary surfaced, claiming to be just that. But was it the solution to a 100-year-old cold case, or the most brilliant forgery ever created? This is not just a story about a diary; it's a story about why our brains are dangerously wired to believe a good lie. In this episode, we put the infamous James Maybrick diary under the microscope, exploring the CSI-level forensic science of forgery detection, from handwriting analysis to the secret chemistry of Victorian ink. But the real mystery isn't on the paper; it's in our heads. We'll expose the "narrative fallacy"—the powerful cognitive bias that makes us desperate to connect the dots and create a satisfying story, even if it's not true. This is a deep dive into the psychology of why we believe, why we are fooled, and the anatomy of a perfect lie. Stay until the very end, as we reveal the one tiny, overlooked forensic detail that definitively proves whether the diary is the real confession of Jack the Ripper or just an elaborate work of fiction. Ready to become a forensic detective and a psychological profiler? Subscribe, share with your favorite armchair investigator, and tell us: did you want the diary to be real?

📣 New Podcast! "The Lie We Wanted to Believe: Jack the Ripper's 'Lost' Diary" on @Spreaker #cognitivebiases #coldcase #forensics #forensicscience #forgery #forgerydetection #handwritinganalysis #historicalhoax #historypodcast #jacktheripper #jamesmaybrick #mindhunter #narrativefallacy

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American Handwriting Analysis Foundation - 2025 AHAF Conference

The Latest in Handwriting Analysis Info is at the...
Handwriting Analysis Conference Sept. 27 & 28

Register here: ahafhandwriting.org/2025_AHAF_Co...

Program here: drive.google.com/file/d/1SRox...

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ahafhandwriting.org/2025_AHAF_Co...

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Graphology: The Unseen Code of a Debunked Pseudoscience "Graphology, the analysis of handwriting to determine personality, is a debunked pseudoscience. So why is it still used in corporate hiring? An investigation."

Science vs. Signature: Why Disproven Handwriting Analysis Still Shapes Careers

#Graphology #Pseudoscience #HandwritingAnalysis #ForensicScience #Science #FactRage #FactRageNews

tglm.us/gkZ1A

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"Seriously considering the full analysis!" — T. Brady (9/10)

🖋️ Get your FREE handwriting analysis and discover what your writing reveals.
👉 quantumenterprises.co.uk/handwriting/index.htm

#HandwritingAnalysis #Graphology #PersonalityInsights

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Donald Trump: the Man Behind the Angles What does Trump's handwriting tell us about the man? Mike Fuoco interviewed Michelle for a front-page feature in the Pittsburgh Post-Gazette on Presidential signatures.  What's in a president's signat...

Seems a good time to revisit handwriting expert #MichelleDresbold's take on trump's signature. michelledresbold.com/donald-trump... #SexLiesandHandwriting #Pittsburgh #PittsburghPostGazette #HandwritingAnalysis #booksky

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Are Dead Sea Scrolls older than we thought? https://arstechni.ca #handwritinganalysis #radiocarbondating #machinelearning #deadseascrolls #Archaeology #Science

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Free for AHAF members. Non members click www.paypal.com/ncp/payment/... to pay $10 registration fee.
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www.write-insights.com
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Write Insights

www.write-insights.com
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