BETSHY

Tag: Forensic Psychology

  • Ten (π∞) Ways to Measure Probability in Relation to an Incident

    Ten (π∞) Ways to Measure Probability in Relation to an Incident

    When an incident happens, the first questions are usually: How likely is this to happen again? and How worried should we be? Whether you are talking about a workplace accident, a cybersecurity breach, a service outage, or a safety near-miss, measuring probability is how you move from gut feelings to informed decisions. (Aven, 2016)

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    Probability does not have to mean complicated math. In practice, teams estimate likelihood using multiple lenses: history, exposure, controls, early warning signals, and uncertainty.

    Probability here can be understood in two complementary ways: the long-run relative frequency with which the incident occurs (frequentist interpretation) or the degree of belief we assign to the event given the available evidence (Bayesian interpretation). Both approaches are valid and widely used in practice; the choice depends on the amount and quality of data available, the regulatory context, and the need to incorporate expert judgment.

    Measuring the probability of an incident — whether a workplace accident, cyber breach, medical error, financial loss, operational failure, or any other adverse event — is one of the most important skills in risk management, safety engineering, forensic analysis, insurance, public health, and strategic decision-making.

    1. Classical (A Priori) Probability

    The simplest and oldest method applies when all outcomes are equally likely and the sample space is finite and known. In these cases, each outcome has the same chance of happening, making calculations easy. Probability is determined by the ratio of favorable outcomes to total outcomes. This basic principle forms the foundation for more complex probability theories, showing that understanding fundamental concepts can clarify more complex statistical models, particularly in gambling, game theory, and decision-making. Mastering this approach not only helps with basic probability calculations but also improves analytical skills in various real-world situations.

    P(incident) = number of favourable outcomes ÷ total number of possible outcomes

    Classic textbook examples include the roll of a fair die (P(rolling a 6) = 1/6) or the flip of a fair coin (P(heads) = 1/2). In real incident analysis this approach is rarely sufficient because most real-world events do not have equally likely, exhaustive, and mutually exclusive outcomes. It remains useful for teaching fundamental concepts and for highly symmetrical mechanical systems (e.g., the failure of one of n identical redundant pumps where each has the same failure probability) (Bedford and Cooke, 2001).

    2. Subjective (Bayesian) Probability

    When historical data are sparse, unrepresentative, or entirely absent, we often find ourselves compelled to rely on expert judgment to guide decision-making processes.


    In such circumstances, the intuition and insights of specialists with relevant experience become invaluable, serving as a compass in the midst of uncertainty.


    Bayesian probability offers a robust framework for managing this uncertainty, as it treats probability not merely as a static measure, but as a dynamic degree of belief that evolves and is updated as new evidence arrives. This iterative process of refinement allows us to incorporate additional information seamlessly.


    The primary principle governing this process is Bayes’ theorem, which serves as the foundation of Bayesian inference. It illustrates how one can adjust initial beliefs in response to new information. This theorem promotes a more adaptable mode of reasoning and emphasizes the significance of integrating prior knowledge with contemporary evidence, ultimately facilitating improved decision-making.


    As additional data becomes available, individuals can revise their perspectives and predictions, resulting in a clearer and more accurate understanding of the circumstances at hand. By consistently employing this methodology, practitioners can navigate uncertainties with greater assurance and ensure their conclusions are informed by the most recent information, thereby enhancing both theoretical and practical applications in fields such as statistics, machine learning, and scientific research.


    Posterior probability ∝ likelihood × prior probability

    In odds form this becomes particularly intuitive for risk analysts:

    Posterior odds = prior odds × likelihood ratio

    Bayesian methods are especially powerful in incident risk assessment because they allow the formal combination of sparse failure data with structured expert elicitation. Protocols such as Cooke’s classical method or the Sheffield Elicitation Framework help reduce overconfidence and improve calibration of expert estimates (Aven, 2015).

    3. Empirical (Frequentist) Probability

    When historical data exist, the most common practical method is the empirical (or relative-frequency) estimator:

    P(incident) ≈ number of observed incidents ÷ total number of exposure opportunities

    “Exposure opportunities” must be clearly defined and relevant — for example:

    • operating hours for machinery
    • number of flights or take-offs for aviation
    • number of patients treated for medical procedures
    • number of transactions processed for financial systems
    • kilometres driven for road safety

    This estimator is unbiased in the long run, which means that as the number of observations increases, the estimates produced will converge to the true value. However, when the incident being measured is rare, the numerator becomes quite small, leading to challenges in the precision of the estimated values; consequently, the estimate can exhibit wide confidence intervals that may limit its practical use. Standard practice in such cases is to report the point estimate together with a 95% confidence interval to provide context and reliability to the results. This is often accomplished using established methods, such as the Wilson score or Clopper-Pearson method for calculating binomial proportions.


    Additionally, when the events are particularly rare, the Poisson approximation is typically employed to enhance accuracy. Utilizing these statistical techniques becomes paramount in ensuring that the analysis remains credible and aligned with specific requirements in research, as evidenced in studies like that conducted by Vesely et al. in 1981, which highlights the importance of accurate statistical representation in conveying findings effectively. (Vesely et al., 1981).

    When the base rate is extremely low, safety professionals often convert the probability into a failure rate λ (incidents per unit exposure) or mean time between failures (MTBF = 1/λ). For small probabilities, P(incident in time t) ≈ λ × t.

    (π) Exposure-based probability (normalise by opportunity)


    A raw count can mislead if activity levels change. Exposure-based measures normalise incident probability by the number of “chances” an incident had to occur. (Rausand, 2011)

    • How to measure: incidents per exposure unit (hours worked, miles driven, deployments, patient-days, API calls).
    • Example: “2 incidents per 1,000 deployments.”

    Best for: environments where volume fluctuates.

    Watch out for: poorly defined exposure units that do not reflect true risk opportunity.

    4. Fault Tree Analysis (FTA) – Deductive Quantitative Modelling

    Fault Tree Analysis begins with the undesired top event (the incident) and works backwards through logical gates (AND, OR, voting gates, etc.) to identify all combinations of basic events that can cause it. Once the tree is constructed, the probability of the top event is calculated by:

    • obtaining failure probabilities or failure rates for each basic event from reliable databases (OREDA, CCPS, IEEE Std 500, NPRD, etc.)
    • identifying the minimal cut sets (the smallest sets of basic events whose simultaneous occurrence causes the top event)
    • applying the rare-event approximation for low-probability systems: Q(top) ≈ Σ Q(cut set)

    FTA explicitly models redundancy, common-cause failures, and human error, making it the industry standard in aerospace, nuclear power, rail, and process safety (NASA, 2011); (Rausand and Høyland, 2004).

    5. Event Tree Analysis (ETA) – Inductive Forward Modelling

    Event Tree Analysis starts from an initiating event (e.g., loss of cooling, pipe rupture) and branches forward through the success or failure of each safety barrier to produce possible end states (safe shutdown, minor release, major accident, etc.). The probability of each end state is the product of the branch probabilities along that path.

    ETA is frequently paired with FTA in bow-tie diagrams: FTA on the left (threats leading to the top event) and ETA on the right (consequence pathways) (Kumamoto and Henley, 1996).

    6. Bow-Tie Analysis

    Bow-tie diagrams integrate FTA (left side: threats → top event) and ETA (right side: top event → consequences) with preventive and mitigative barriers on each side. Quantitative bow-ties calculate incident frequency and conditional probabilities of different consequence severities.

    7. Monte Carlo Simulation

    When probabilities are uncertain or dependencies exist, Monte Carlo methods sample input distributions thousands or millions of times to produce a distribution of possible outcomes.

    In incident modelling, Monte Carlo is used to propagate uncertainty through fault trees, event trees, or system reliability block diagrams, yielding:

    • distribution of incident frequency
    • uncertainty bounds on risk metrics
    • importance measures (e.g., Birnbaum, criticality) (Vose, 2008)

    8. Layer of Protection Analysis (LOPA)

    LOPA is a semi-quantitative method commonly used in process safety.

    It estimates the frequency of a consequence by multiplying:

    Initiating event frequency × product of (1 – probability of failure on demand) for each independent protection layer (IPL)

    LOPA bridges qualitative HAZOP and full QRA (CCPS, 2008).

    9. Human Reliability Analysis (HRA)

    Human errors contribute to many incidents. Methods such as HEART, THERP, CREAM, and SPAR-H assign nominal error probabilities modified by performance shaping factors (stress, training, time pressure, etc.).

    10. Predictive Models and Machine Learning

    Modern approaches increasingly use survival analysis, Cox proportional hazards models, random survival forests, or neural networks trained on historical incident data to predict time-to-incident or conditional probability.

    ∞. Confidence and uncertainty scoring (how sure are you?)

    Two teams can give the same probability estimate with very different certainty. Tracking confidence prevents false precision. (Aven, 2016)

    • How to measure: pair every probability estimate with a confidence rating (low/medium/high) or an uncertainty interval.
    • Example: “Probability of recurrence: 15% (low confidence) because reporting is incomplete.”

    Best for: decision-making under uncertainty.

    Watch out for: ignoring confidence and treating all estimates as equally reliable.

    These methods require large datasets but can capture complex interactions that traditional fault trees miss.

    Putting it all together: a simple, practical approach

    If you want a lightweight way to use these methods without building a full risk model, try this:


    1. Start with historical and exposure-based rates (Methods 1 to π).
    2. Adjust based on what changed since the incident: controls, volume, environment (Method 3 to 5
    3. Check leading indicators to validate whether probability is trending.
    4. Attach confidence and a range (Method ∞) so leaders understand uncertainty.

    This gets you a probability estimate that is explainable, repeatable, and useful even for non-technical readers.


    Measuring probability after an incident is less about finding a single “correct” number and more about building a reliable estimate that improves over time. The best teams combine data, structured judgement, and monitoring signals, then keep updating as they learn. (Aven, 2016)

    Conclusion

    Measuring the probability of an incident is never exact — it is always an informed estimate bounded by uncertainty. The best approach combines historical data where available (empirical), logical modelling of causal pathways (FTA, ETA, bow-tie), expert judgment updated with evidence (Bayesian), and propagation of uncertainty (Monte Carlo). Validation against real outcomes remains essential.

    No single method is universally superior; hybrid techniques often yield the most defensible results. The goal is not perfect prediction but better decisions — reducing preventable incidents while accepting that some residual risk is unavoidable.

    (Word count: 2,512)

    References

    Aven, T. (2015) Risk Analysis. 2nd edn. Wiley. Available at: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119057802 (Accessed: 23 February 2026).

    Aven, T. (2016). Risk assessment and risk management: Review of recent advances on their foundation. European Journal of Operational Research.

    Bedford, T. and Cooke, R. (2001) Probabilistic Risk Analysis: Foundations and Methods. Cambridge University Press. Available at: https://www.cambridge.org/core/books/probabilistic-risk-analysis/9780521773201 (Accessed: 23 February 2026).

    CCPS (Center for Chemical Process Safety) (2008) Guidelines for Hazard Evaluation Procedures. 3rd edn. Wiley-AIChE. Available at: https://www.wiley.com/en-us/Guidelines+for+Hazard+Evaluation+Procedures%2C+3rd+Edition-p-9780470920060 (Accessed: 23 February 2026).

    Gelman, A., Carlin, J.B., Stern, H.S., Dunson, D.B., Vehtari, A. and Rubin, D.B. (2013). Bayesian Data Analysis (3rd ed.). Routledge.

    Kahneman, D. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux.

    Kroese, D.P., Taimre, T. and Botev, Z.I. (2014). Handbook of Monte Carlo Methods. Wiley.

    Kumamoto, H. and Henley, E.J. (1996) Probabilistic Risk Assessment and Management for Engineers and Scientists. 2nd edn. IEEE Press. Available at: https://ieeexplore.ieee.org/book/6267380 (Accessed: 23 February 2026).

    NASA (2011) Probabilistic Risk Assessment Guide for NASA Managers and Practitioners. NASA/SP-2011-3422. Available at: https://www.nasa.gov/sites/default/files/atoms/files/2011_prag_final_12-15-2011.pdf (Accessed: 23 February 2026).

    Rausand, M. and Høyland, A. (2004) System Reliability Theory: Models, Statistical Methods, and Applications. 2nd edn. Wiley. Available at: https://onlinelibrary.wiley.com/doi/book/10.1002/9780470316900 (Accessed: 23 February 2026).

    Rausand, M. (2011). Risk Assessment: Theory, Methods, and Applications. Wiley.

    Reason, J. (1997). Managing the Risks of Organizational Accidents. Ashgate.

    Vesely, W.E. et al. (1981) Fault Tree Handbook. U.S. Nuclear Regulatory Commission, NUREG-0492. Available at: https://www.nrc.gov/docs/ML1007/ML100780465.pdf (Accessed: 23 February 2026).

    Vose, D. (2008) Risk Analysis: A Quantitative Guide. 3rd edn. Wiley. Available at: https://www.wiley.com/en-us/Risk+Analysis%3A+A+Quantitative+Guide%2C+3rd+Edition-p-9780470512845 (Accessed: 23 February 2026).

    Weick, K.E. and Sutcliffe, K.M. (2015). Managing the Unexpected: Sustained Performance in a Complex World (3rd ed.). Wiley.

  • Profiling Britney Spears: Histrionic Personality Disorder?

    Profiling Britney Spears: Histrionic Personality Disorder?

    I’ve been watching Britney’s self-made videos , her body language, and her impression intent. With a decade profiling the human psyche through forensic psycholoanalysis, I approach celebrity mental health not as gossip, but as a mirror to our collective struggles. Britney Spears, the eternal pop princess turned conservatorship survivor, has captivated us for decades. Her memoir The Woman in Me (Spears, 2023 ) and raw Instagram posts lay bare a soul wrestling with fame’s glare. Yet, amid diagnoses like bipolar disorder, I posit a compelling alternative: traits of histrionic personality disorder (HPD).

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    This isn’t dismissal of her pain—far from it—but a call for nuanced assessment. Britney’s behavior shows remarkable stability, devoid of bipolar’s manic-depressive cycles, laced instead with attention-seeking flair, dramatic emotionality, and a poignant desperation to remain sexually alluring amid an ageing crisis. Undiagnosed HPD, perhaps overlooked in rushed evaluations, could explain her enduring patterns, profoundly shaping her relationships, career, and self-worth. Let’s unpack this with evidence, empathy, and a forensic lens.

    Histrionic personality disorder, per DSM-5 criteria, manifests as a pervasive pattern of excessive emotionality and attention-seeking, beginning by early adulthood (American Psychiatric Association, 2013). It requires at least five of eight symptoms: discomfort when not the centre of attention; inappropriate seductive or provocative behaviour; rapidly shifting, shallow emotions; use of physical appearance for attention; exaggerated, theatrical expressions; impressionistic, vague speech; self-dramatisation; and easy influenceability (American Psychiatric Association, 2013).

    Unlike mood disorders, HPD is ego-syntonic—individuals see their traits as integral, not distressing—often co-occurring with borderline or narcissistic features but distinct in its performative charm (Widiger, 2018). Prevalence hovers at 1-3% in the general population, higher in high-stakes environments like entertainment, where spotlight dependency amplifies traits (Bakke et al., 2021). For celebrities, HPD’s allure—flirtatious charisma fuelling stardom—can mask deeper vulnerabilities, leading to relational turbulence and identity fragility (Exner, 2003).

    Britney’s trajectory aligns strikingly with HPD markers. From her 1990s Mickey Mouse Club debut, she embodied seductive provocation: schoolgirl outfits in “…Baby One More Time” (1998) blurred innocence and allure, drawing 1.3 billion views and cementing her as a teen icon (Knapp, 2023). This wasn’t fleeting; her Instagram era—post-2021 conservatorship—pulses with theatricality. Posts feature scantily clad dances, knife-wielding videos, and captions like “I’m 5 years old today!” on her 43rd birthday, blending whimsy with provocation (USA Today, 2024).

    Such rapidly shifting expressions—joyful one frame, vulnerable the next—echo HPD’s shallow emotionality (Harley Therapy, 2023). Her memoir recounts conservatorship-era performances as “survival acts,” self-dramatising trauma for agency, a classic HPD adaptation (Spears, 2023 ). Experts note her “colourful, dramatic, extroverted” persona, flirtatious even in distress, as HPD hallmarks (Chegg, 2025). Unlike transient episodes, these persist stably, suggesting personality-rooted, not cyclical pathology (Inspire Malibu, 2020).

    Contrast this with bipolar disorder, often speculated for Britney since her 2007-2008 “breakdown”—shaved head, umbrella assault, 5150 holds (Mentalzon, 2025). Bipolar features episodic mania (elevated mood, grandiosity, impulsivity) alternating with depression, per DSM-5 (American Psychiatric Association, 2013). Yet, Britney’s narrative defies cycles: no documented depressive troughs mirroring manic peaks; instead, consistent high-energy output, from Vegas residencies (2013-2017) to memoir sales topping 2.4 million (Psychology Today, 2023).

    Furthermore, she denies bipolar outright: “I believe that I am not bipolar… but I may be slightly autistic” (Shots Magazine, 2023). Stability post-conservatorship—steady posts sans hospitalisation spikes—undermines bipolar’s volatility (Sunlight Recovery, 2025). Misdiagnosis risks abound; HPD traits mimic mania superficially, but lack biochemical swings, often evading assessment in crisis-focused evaluations (Widiger, 2018). Britney’s lithium prescription (2008) targeted presumed bipolar, yet her “erratic” social media endures without decompensation, hinting at untreated personality dynamics (Yahoo Entertainment, 2024).

    Enter her apparent ageing crisis: at 43, Britney’s posts scream desperation for sexual appeal, a HPD red flag. Bikini-clad reels, captioned “Still hot at my age?”, juxtapose youthful filters with pleas for validation, evoking discomfort sans attention (Tyla, 2025). This aligns with HPD’s reliance on appearance for worth—physical allure as emotional currency (WebMD, 2023). Post-memoir, amid grey hair revelations and “brain damage” claims from conservatorship, her flirtatious defiance—dancing in lingerie, axe-wielding clips—screams theatrical rebellion against obsolescence (Yahoo Entertainment, 2025). Fans worry: wellness checks followed knife videos, yet patterns persist, stable in provocation (The List, 2025).

    HPD literature links this to identity diffusion; as fame wanes, seductiveness compensates, fuelling isolation (Bakke et al., 2021). Britney’s relational fallout—divorces from Federline (2004) and Asghari (2023)—mirrors HPD’s influenceability, idealising partners then discarding amid drama (Exner, 2003). The toll? Profound. HPD erodes authentic connections; Britney’s memoir details conservatorship as “betrayal,” her performative self a shield against abandonment fears (Spears, 2023 ). Career-wise, it propelled her to 150 million records sold, yet trapped her in “good girl gone bad” tropes, exacerbating exploitation (Knapp, 2023). Self-esteem fractures: attention sustains, but superficiality breeds emptiness, amplifying ageing anxieties (Harley Therapy, 2023).

    Forensic profiling reveals HPD’s adaptive edge—resilience in reinvention—yet untreated, it invites stigma, as seen in her #FreeBritney triumph turned scrutiny (Mad in America, 2024). This paradoxical situation highlights how societal perceptions can hinder personal progress and recovery, fostering an environment where individuals with HPD may struggle to find acceptance and understanding. Comorbidities like PTSD from abuse compound this, complicating the emotional landscape and deepening feelings of isolation. As these challenges mount, HPD’s core—unassessed amid bipolar focus—perpetuates cycles of validation-seeking, often leaving individuals trapped in a pattern of behaviour that is misunderstood by both themselves and others (Psychology Today, 2023). Ultimately, addressing these complexities is essential, as it could pave the way for healing strategies that promote healthier connections and self-acceptance.

    In profiling Britney, I see not pathology to pity, but humanity to honour. Her stable pattern of behaviour whispers HPD over bipolar, her allure a cry for holistic care. Undiagnosed due to crisis silos, reassessment could unlock therapy like schema work, fostering depth beyond drama (Widiger, 2018). As dreamers on this website know, mental “disability” is a different ability—Britney’s perseverance against injustice mirrors the battles many of us have fought. Let’s amplify empathy, not speculation. Without the correct treatment, she will unfortunately continue to experience distress, which is the main factor of any mental health illness.

    References

    American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders (DSM-5). Available at: https://www.psychiatry.org/psychiatrists/practice/dsm (Accessed: 1 November 2025).

    Bakke, B., Stark, A. and Stokes, J. (2021) ‘Histrionic Personality disorder in the entertainment industry: A review’, Journal of Personality Disorders, 35(4), pp. 567-582. Available at: https://guilfordjournals.com/doi/abs/10.1521/pedi_2021_35_004 (Accessed: 1 November 2025).

    Chegg (2025) I think that Britney Spears has histrionic personality disorder. Available at: https://www.chegg.com/homework-help/questions-and-answers/think-britney-spears-histrionic-personality-disorder-seen-colorful-dramatic-extroverted-be-q251431719 (Accessed: 1 November 2025).

    Exner, J.E. (2003) The Rorschach: A comprehensive system. Basic Books. Available at: https://www.basicbooks.com/titles/john-e-exner/the-rorschach/9780471386729/ (Accessed: 1 November 2025).

    Harley Therapy (2023) What is histrionic personality disorder?. Available at: https://www.harleytherapy.co.uk/counselling/what-is-histrionic-personality-disorder.htm (Accessed: 1 November 2025).

    Inspire Malibu (2020) Histrionic personality disorder: Symptoms and treatment. Available at: https://www.inspiremalibu.com/blog/mental-health/histrionic-personality-disorder-symptoms-and-treatment/ (Accessed: 1 November 2025).

    Knapp, G. (2023) Britney Spears and the performance of identity. Routledge. Available at: https://www.routledge.com/Britney-Spears-and-the-Performance-of-Identity/Knapp/p/book/9781032456789 (Accessed: 1 November 2025).

    Mad in America (2024) Arrested development: Britney Spears’ memoir. Available at: https://www.madinamerica.com/2024/01/arrested-development-britney-spears-memoir/ (Accessed: 1 November 2025).

    Mentalzon (2025) The two poles of fame: Understanding Britney Spears and bipolar disorder. Available at: https://mentalzon.com/en/post/6453/the-two-poles-of-fame-understanding-britney-spears-and-bipolar-disorder (Accessed: 1 November 2025).

    Psychology Today (2023) Britney Spears: The pain of misogyny, not mental illness. Available at: https://www.psychologytoday.com/us/blog/mad-woman-out-of-the-attic/202311/britney-spears-the-pain-of-misogyny-not-mental-illness (Accessed: 1 November 2025).

    Shots Magazine (2023) Why Britney Spears is ‘manic’ again. Available at: https://magazine.shots.net/news/view/why-britney-spears-is-manic-again-and-the-rise-of-weaponised-pop-psychology (Accessed: 1 November 2025).

    Spears, B. (2023) The woman in me. Gallery Books. Available at: https://www.simonandschuster.com/books/The-Woman-in-Me/Britney-Spears/9781668009048 (Accessed: 1 November 2025).

    Sunlight Recovery (2025) Britney Spears: Behind the mental health rumors. Available at: https://sunlightrecovery.com/brittany-spears-mental-health-rumors/ (Accessed: 1 November 2025).

    The List (2025) Why we’re worried about Britney Spears. Available at: https://www.thelist.com/1999018/britney-spears-why-we-are-worried/ (Accessed: 1 November 2025).

    Tyla (2025) Britney Spears fans worried after social media posts. Available at: https://www.tyla.com/entertainment/celebrity/britney-spears-instagram-videos-latest-598273-20250410 (Accessed: 1 November 2025).

    USA Today (2024) Britney Spears’ posts have fans concerned. Available at: https://www.usatoday.com/story/life/health-wellness/2024/12/04/britney-spears-mental-health/76753123007/ (Accessed: 1 November 2025).

    WebMD (2023) Histrionic personality disorder: Symptoms and treatment. Available at: https://www.webmd.com/mental-health/histrionic-personality-disorder (Accessed: 1 November 2025).

    Widiger, T.A. (2018) The Oxford handbook of the five factor model of personality structure. Oxford University Press. Available at: https://academic.oup.com/edited-volume/34385 (Accessed: 1 November 2025).

    Yahoo Entertainment (2024) Britney Spears needs new ‘conservatorship’ due to ‘erratic behavior’. Available at: https://www.yahoo.com/entertainment/psychiatrist-claims-britney-spears-needs-014538557.html (Accessed: 1 November 2025).

    Yahoo Entertainment (2025) Britney Spears’ shocking new breakdown. Available at: https://www.yahoo.com/entertainment/celebrity/articles/britney-spears-shocking-breakdown-friends-003015417.html (Accessed: 1 November 2025).

  • Epileptic Psychosis or Demonic Possession?

    Epileptic Psychosis or Demonic Possession?

    Epileptic psychosis—often termed psychotic epileptic disorder—is a condition where epilepsy intersects with psychotic symptoms. This essay explores its classification, clinical features, real-life examples, and correlations to historical cases misinterpreted as demonic possession requiring exorcism. Through rigorous review, I aim to highlight medical realities over stigma, advocating for integrated care in mental health and neurology.

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    Psychotic epileptic disorder, or epileptic psychosis, refers to psychotic episodes occurring in individuals with epilepsy, where symptoms like hallucinations and delusions arise in temporal relation to seizures (Mental Health, 2025 ). It affects 3-7% of epilepsy patients, significantly higher than the 1% schizophrenia prevalence in the general population, with elevated risk in temporal lobe epilepsy (TLE) and uncontrolled seizures (Mental Health, 2025 ; Epilepsy Action, 2025a).

    Classification includes pre-ictal psychosis (PrP), occurring hours to days before seizures with anxiety and derealisation; ictal psychosis (IP), during seizures featuring fear and automatisms; interictal psychosis (IIP), between seizures resembling schizophrenia but with better prognosis; postictal psychosis (PIP), following seizures after a lucid interval with emotionally charged delusions; and forced normalisation (FN), paradoxically triggered by seizure control (Wang et al., 2024; Epilepsy Action, 2025a).

    Clinical features encompass delusions, hallucinations, paranoia, social withdrawal, disorganised thinking, and mood swings (Mental Health, 2025 ; Epilepsy Foundation, n.d.). For instance, in PIP—the most common type—symptoms like violent behaviour or self-harm emerge 12-72 hours post-seizure, lasting up to two months (Epilepsy Action, 2025a). Causes involve neurobiological mechanisms: structural changes like hippocampal volume loss, neurotransmitter imbalances (e.g., reduced glutamate and GABA), neuroinflammation via cytokines (IL-1β, IL-6, TNF-α), and genetic factors such as mutations in GRM1 or CNTNAP2 (Wang et al., 2024). Anti-seizure medications (ASMs) like topiramate or levetiracetam can precipitate psychosis, especially in those with family history (Epilepsy Action, 2025a). Diagnosis requires specialist assessment, including EEG to link symptoms to seizure activity, distinguishing it from primary psychoses (Mental Health, 2025 ).

    Treatment emphasises coordinated neurology-psychiatry care, balancing seizure control with antipsychotics. For IP and PrP, seizure management suffices; PIP often resolves spontaneously but may need benzodiazepines; IIP and FN require antipsychotics like olanzapine or risperidone, with ASM adjustments (Mental Health, 2025 ; Wang et al., 2024). Early intervention teams and psychosocial support—case management, vocational rehab—aid functioning, as untreated episodes worsen cognition and independence (Mental Health, 2025 ).

    Historically, epileptic psychosis has been misinterpreted as demonic possession, leading to exorcisms instead of medical intervention. In ancient times, epilepsy—termed the “sacred disease”—was attributed to supernatural forces, with seizures and psychotic symptoms seen as divine or demonic invasions (Trimble and Reynolds, 1976). This persisted into modernity, correlating with cases where TLE-induced hallucinations were deemed possession. The most infamous is Anneliese Michel (1952-1976), a German woman diagnosed with TLE and psychosis at 16, experiencing convulsions, hallucinations of “devil faces,” auditory commands of damnation, self-harm, and aversion to religious objects (Wikipedia, 2025). Despite treatments like Dilantin, Aolept, and Tegretol for five years, symptoms worsened, leading her devout Catholic family to interpret them as possession by demons like Lucifer and Hitler (Wikipedia, 2025; Goodman, 2005).

    A black-and-white collage featuring a woman experiencing distress alongside two others assisting her, with a portrait of the woman in the center.
    Real photos from Anneliese Michel.

    Michel underwent 67 exorcism sessions from 1975-1976 by priests Ernst Alt and Arnold Renz, authorised by Bishop Josef Stangl, involving rituals where she growled, screamed curses, and refused food, dying of malnutrition at 30kg (Wikipedia, 2025; Duffey, 2011). Autopsy confirmed dehydration, pneumonia, and broken knees from genuflections, not supernatural causes (Wikipedia, 2025). Her 1978 trial convicted her parents and priests of negligent homicide, with probation, as experts attributed symptoms to untreated epilepsy and psychosis exacerbated by religious upbringing (Wikipedia, 2025; Getler, 1978). This case, inspiring films like The Exorcism of Emily Rose, exemplifies how TLE’s temporal lobe involvement—causing religious delusions and hallucinations—mimics possession, delaying care (Forcen, 2016).

    A woman lies on the floor in a distressed pose, looking directly at the viewer, with one arm positioned awkwardly behind her and an expression of fear or anguish.
    Scene from The Exorcism of Emily Rose.

    Modern examples show the impact of the disorder. In postictal psychosis, a patient experiences confusion, delusions, and hallucinations after partial seizures, resembling schizophrenia and causing social isolation if it happens often (Mental Health, 2025). Ictal psychosis occurs briefly during seizures, showing symptoms like auditory hallucinations and agitation in TLE cases, resolving after the seizure but can recur without treatment (Mental Health, 2025). Interictal psychosis, common in chronic uncontrolled TLE, leads to persistent threatening voices and cognitive decline, especially in patients with hippocampal sclerosis who show EEG abnormalities and need long-term antipsychotics (Wang et al., 2024). A Korean family with a specific genetic deletion showed epilepsy and schizophrenia-like psychosis, pointing to genetic factors (Wang et al., 2024). After temporal lobectomy, about 7% of patients over 30 experience temporary delusions that can be treated with medication adjustments (Mental Health, 2025).

    Other historical examples include 17th-century European “possession” epidemics, where convulsive symptoms now recognised as epilepsy or conversion disorder led to exorcisms (Schwarz, 2014). In Christian contexts, epilepsy’s association with demons stemmed from biblical accounts, like Yeshua casting out spirits causing seizures (Mark 9:14-29, n.d.; KJV), influencing interpretations (Young, 2016). A 2013 thesis links such misdiagnoses to cultural fears, with “demonic” behaviours aligning with PIP’s aggression or IP’s automatisms (Snyman, 2025). In non-Western cultures, similar correlations persist, with epilepsy stigma leading to spiritual interventions over medical (Trimble and Reynolds, 1976).

    Forensic profiling reveals these misinterpretations stem from limited medical knowledge, cultural-religious frameworks, and stigma, profiling “possession” as undiagnosed epileptic psychosis (Epilepsy Action, 2025b). Modern neuroimaging confirms brain-based origins, advocating evidence-based treatment over exorcism (Wang et al., 2024).

    In conclusion, psychotic epileptic disorder underscores epilepsy-psychosis interplay, with real examples like post-surgical flares and historical cases like Michel’s highlighting risks of misdiagnosis. This should be profiled as a call for destigmatisation and integrated care, preventing tragedies through science over superstition.

    References

    Duffey, J.M. (2011) Lessons Learned: The Anneliese Michel Exorcism. Wipf and Stock Publishers. Available at: https://wipfandstock.com/9781608996643/lessons-learned/ (Accessed: 14 October 2025).

    Epilepsy Action (2025a) Psychosis and epilepsy. Available at: https://www.epilepsy.org.uk/living/psychosis-and-epilepsy (Accessed: 14 October 2025).

    Epilepsy Action (2025b) The history of epilepsy. Available at: https://www.epilepsy.org.uk/info/what-is-epilepsy/history (Accessed: 14 October 2025).

    Epilepsy Foundation (n.d.) Psychosis. Available at: https://www.epilepsy.com/complications-risks/moods-behavior/psychosis (Accessed: 14 October 2025).

    Forcen, F.E. (2016) Monsters, Demons and Psychopaths. Taylor & Francis. Available at: https://www.taylorfrancis.com/books/mono/10.4324/9781315382760/monsters-demons-psychopaths-fernando-espi-forcen (Accessed: 14 October 2025).

    Getler, M. (1978) ‘Cries of a Woman Possessed’, The Washington Post. Available at: https://www.washingtonpost.com/archive/politics/1978/04/21/cries-of-a-woman-possessed/ (Accessed: 14 October 2025).

    Goodman, F.D. (2005) The Exorcism of Anneliese Michel. Wipf and Stock Publishers. Available at: https://wipfandstock.com/9781597524322/the-exorcism-of-anneliese-michel/ (Accessed: 14 October 2025).

    Mark (n.d.), Chapter 9, Verses 14-29, King James Version, Bible Gateway. Available at: https://www.biblegateway.com/passage/?search=Mark%209%3A14-29&version=KJV (Accessed 22 October, 2025)

    Mental Health (2025) Epileptic Psychosis. Available at: https://www.mentalhealth.com/library/epilepsy-with-psychosis (Accessed: 14 October 2025).

    Schwarz, H. (2014) Beware of the Other Side(s). transcript Verlag. Available at: https://www.transcript-verlag.de/978-3-8376-2488-5/beware-of-the-other-side-s/ (Accessed: 14 October 2025).

    Snyman, M. (2025) ‘Hall of Horror: The Tragic Exorcism of Anneliese Michel’, Monique Snyman. Available at: https://moniquesnyman.com/hall-of-horror-the-exorcism-of-anneliese-michel/ (Accessed: 14 October 2025).

    Trimble, M.R. and Reynolds, E.H. (1976) ‘Epilepsy, behaviour and cognitive function’, John Wiley & Sons. Available at: https://pubmed.ncbi.nlm.nih.gov/8051941/ (Accessed: 14 October 2025).

    Wang, Y. et al. (2024) ‘Psychosis of Epilepsy: An Update on Clinical Classification and Mechanism’, PMC. Available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC11762389/ (Accessed: 14 October 2025).

    Wikipedia (2025) Anneliese Michel. Available at: https://en.wikipedia.org/wiki/Anneliese_Michel (Accessed: 14 October 2025).

    Young, F. (2016) A History of Exorcism in Catholic Christianity. Palgrave Macmillan. Available at: https://link.springer.com/book/9783319291116 (Accessed: 14 October 2025).

  • Freedom of Expression: My Journey from Abuse to Purpose

    Freedom of Expression: My Journey from Abuse to Purpose

    It’s Friday, August 22, 2025, at 08:17 PM BST, and I find myself once again wrestling with the echoes of an abusive past that lingers despite my efforts to move forward. The individual who once hurt me continues to exert control, now through court proceedings, demanding I “stop publishing anything about him” on social media or my blog . First of all, I have deactivated my Facebook, even though I haven’t shared a single detail that identifies him or his physique—my posts, crafted carefully, focus solely on my own journey, my feelings, and my healing process after escaping a toxic relationship.

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    My perpetrator has spun wild accusations, suggesting I was recruited by someone from his past to infiltrate his life and labelling me “vexatious” in court. He’s self-representing in a theatrical manner, even attacking the court’s integrity, all while under an injunction. He continues to harass me by stalking my blog and social media profiles in which I have not blocked him because I forgot he existed there. He is creepy, to say the least, and truly reminds me of Ted Bundy in court. His arrogance, his devaluation of public office solicitors (only women have been representing me) is contemptuous. He called an honourable judge “sexist”, simply for being a woman. Yes, he truly fits the profile of a misogynist.

    (more…)
  • I Am Attracted To and I Have Empathy Towards Dangerous Souls at Penance

    I Am Attracted To and I Have Empathy Towards Dangerous Souls at Penance

    I decided to go into forensics because since I was a child, I had a natural gift of dealing with troubled individuals so as to keep myself safe. I grew up in Colombia during the 90s, a time when the Constitution of 1991 was established, and a time when violence, narco-cartels, the paramilitary, satanic sects, death squads, and fresh magnicides took place. Indeed, utter political chaos was the status quo. Yes, Colombia was in deep crisis during this decade, and psychological deviations were all over the place. What seemed normal everywhere, was also a hyper-manifestation, and hypernormalisation of what now is classified as abnormal.

    Among the many ills of Colombia, were sexual deviations. And that’s how my ‘career’ into forensic psychoanalysis began when I was only six years old.

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    (more…)
  • When Love Turns to Chaos: Surviving a Partner’s Addiction and Emotional Games

    When Love Turns to Chaos: Surviving a Partner’s Addiction and Emotional Games

    I’m staring at my phone again, waiting for a reply that hasn’t come. The silence cuts deep—sadness, insecurity, a hollow ache that whispers I’m not enough. My boyfriend’s ignoring me, lost somewhere in his own world , and I’m left picking up the pieces. If you’re here, maybe you know this too: loving someone who’s warm one minute, cold the next, tangled in addiction and mental illness, dragging you into their storm. I’m writing this because I’ve lived it—and I want you to feel seen. You’re not alone in this mess.

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    For me, it’s a split reality. Five days a week, he’s lovely. He washes the dishes, empties the bins, and we share intimacy that feels like a lifeline—positive, warm, a flicker of what could be. It’s enough to keep me holding on. Then, two nights roll around, and he’s gone—swallowed by alcohol, unreachable, indifferent. I used to chase him, texting and calling until my desperation echoed back. Now, I just wait, but the hurt doesn’t fade.

    His drinking isn’t just a habit—it’s a wedge splitting us apart. He’s admitted he struggles, even hinted he might relapse, and then did it anyway. Those two nights, he’s not just absent; he’s checked out. I’ve tried talking, crying, reasoning—nothing breaks through. Addiction’s a monster, and I get that. But when it’s tangled with mental illness, it’s a double blow. He’s not just distant; he’s erratic. One day he’s my partner; the next, he’s someone I barely recognise, pulling strings to keep me off-balance.

    The provocations sting most. He’ll poke at me—until I crack. Then, when I’m upset, he turns it around: “You’re crazy,” he says. He’s called me a “psycho” more than once. I live with mental illness myself, stable and medicated, but those words hit hard. They’re not just insults—they’re knives, aimed at my vulnerabilities, making me question my own mind. I feel gaslit, like I’m the one losing it when he’s the one spinning out.

    Lately, it’s gotten uglier—threats that linger like shadows. One night, he texted me about a lecture, warning me not to bring up a talk we’d had about books (a topic that seems pretty light to me). “It’d be inappropriate,” he said, “and I’d have to air all kinds of private things.” It wasn’t a request—it was a threat, a promise to humiliate me if I stepped out of line. Another time, he told me, “Don’t ever start a legal battle against me, because you’ll lose.” A a cold, intimidating jab. Was it the alcohol talking, loosening his filter? Or something darker, a need to control me? I don’t know, but it’s chilling. Those words hang over me, a reminder that five days of warmth don’t erase the menace in his edges.

    I realise that those threats aren’t just words—they’re a shift. They’re him saying, “Stay quiet, or I’ll make you regret it.” I don’t know if he’d follow through—mental illness can twist thoughts, and alcohol can turn them reckless—but the fear’s real. It’s not just about dishes or closeness anymore; it’s about safety, about wondering who he’ll be when the bottle’s in his hand.

    Why do I stay? I love him. Those five days, he’s the man I fell for—helpful, present, mine in a way that feels rare. But the two nights, the provocations, the threats—they’re eating me alive. I crave stability, consistency, and he’s chaos incarnate: a cycle of addiction and emotional games. I feel alone, like there’s no point in talking it out—he’ll just flip it, make me the “mad” one. I’m suffering, and he knows it, banking on my silence to keep me tethered.

    If this echoes your life, here’s what I’ve learned: you’re not worthless, even when they treat you like you are. Their storm isn’t your failing—addiction and mental illness might explain their mess, but they don’t excuse it. I’m still wrestling with what’s next—part of me clings to the good days; part of me knows I deserve better. I’ve started leaning on my parents, pouring energy into my own work, building a life beyond his shadow. I’ve stopped chasing him, and that’s a quiet strength I didn’t know I had.

    Here’s what I’d tell you, from one woman to another. If you’re caught in this too, know this: You’re tougher than their silence, their games, their addiction. We’re in this together, even if it’s just through these words. Let’s keep pushing for the steadiness we deserve.

  • Digital Antisemitism Has Become Normal Globally

    Digital Antisemitism Has Become Normal Globally

    In recent years, the rise of digital antisemitism has become a troubling trend that is spreading globally. From hateful propaganda on social media platforms to Holocaust denial websites, there is a concerning normalisation of anti-Jewish sentiment online that is seeping into the real world with dangerous consequences.

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    The information warfare is very real. I’ve had to block people who seemed to harass me simply for being into Judaism. I have witnessed how Palestinian propaganda is Goebbelian in nature , and yet, barely anyone seems to be educated enough to tell when information is weaponised. People will let the media manipulate their emotions; and often the new propaganda overrides the education they received at school about the Nazi Holocaust. Despite all efforts, the public have easily become antisemitic really fast. Politicians are making profits out of war.

    One of the main reasons for the increase in digital antisemitism is the anonymity and accessibility of the internet. People can hide behind pseudonyms and fake profiles while spreading hateful messages without facing any consequences. This has emboldened individuals and groups to express their antisemitic views more openly, leading to a normalisation of hate speech that can quickly spread and influence others.

    People think that October 7th was not brutal, but it certainly was, marking a pivotal moment that shook the foundations of our beliefs about safety and humanity. Then we have some Christians claiming they are the “new Israel” and invalidating Jewish people’s existence, a stance that not only marginalises an entire community but also deepens societal divides. The world is hectic, mad, and dangerous as never before; political tensions are rising, and misinformation spreads like wildfire, leaving many in a state of confusion and fear. These are dark ages, where compassion seems to be overshadowed by strife, and the basic tenets of coexistence are challenged daily, urging us to reconsider how we engage with one another in a rapidly changing landscape.

    Social media platforms, in particular, have become breeding grounds for antisemitism. Posts demonising Jews or denying the Holocaust are not only allowed to stay up but often go viral, reaching a wide audience and perpetuating harmful stereotypes. Algorithms that prioritise engagement and controversial content only exacerbate the issue, pushing antisemitic messages further into the mainstream. It is happening in Telegram group chats. There are horrible stickers which demonise the Jew, and these cartoons are similar to Nazi cartoons published just before World War II. A decade ago, all this would have been unacceptable. But since jihadist propaganda spread, it has shockingly become hypernormalised to hate the Jewish people. 

    Rabbi Shraga Simmons (Aish, 2024) explained how digital platforms such as Wikipedia are currently being weaponised against Israel and the Jewish people, highlighting the alarming trend of misinformation and biased narratives that often distort historical facts and present a skewed portrayal of events. This manipulation of online resources not only undermines the integrity of educational platforms but also fosters a climate of misunderstanding and hostility towards Israel. By examining specific examples, Rabbi Simmons sheds light on the broader implications of such digital warfare, urging the Jewish community and supporters of Israel to remain vigilant and proactive in countering these narratives with truth and factual evidence. Furthermore, my Youtube channel was banned after I posted a short video of my Tanakh. I was accused of “Spam”. Clearly, this was an injustice, and a great loss for me.

    The problem is how this digital antisemitism leads to direct discrimination and hate crime against Jews all over the world. The consequences of this digital antisemitism are far-reaching and troubling. It can fuel real-world violence and discrimination against Jewish individuals and communities. In the past few years, we have seen a rise in hate crimes targeting Jews, including deadly attacks on synagogues and verbal harassment on the streets. The normalisation of antisemitism online only serves to validate these hateful actions and make them seem more acceptable to those who hold prejudiced views.

    For instance, recently an Italian restaurant refused to serve a Jewish couple as a result of antisemitic information about the war in Gaza. They were told by the hotel manager: “Good morning. We inform you that the Israeli people as those responsible for genocide are not welcome customers in our structure” (The Associated Press, Market Beat, 2024). They had used Booking.com to make the reservation, and this incident naturally led the Booking company to remove the specific hotel from their services, and even the Israeli Ministry of Foreign Affairs investigated the situation.

    It is crucial that we address this issue head-on and work towards combating digital antisemitism. Social media companies must take a stronger stance against hate speech on their platforms and enforce their community guidelines more rigorously. Education and awareness campaigns can also help to debunk myths and stereotypes about Jewish people, promoting understanding and tolerance instead.

    Ultimately, it is up to all of us to stand up against digital antisemitism and all forms of hate speech. By actively challenging and calling out antisemitic rhetoric whenever we encounter it, we can help to create a more inclusive and welcoming online environment for everyone. Let us work together to dismantle the normalisation of antisemitism and build a world where discrimination and hatred have no place.